diff --git "a/notebooks/00e_Data Analysis_Fine_Tuned_RPP_MNT_2048.ipynb" "b/notebooks/00e_Data Analysis_Fine_Tuned_RPP_MNT_2048.ipynb"
--- "a/notebooks/00e_Data Analysis_Fine_Tuned_RPP_MNT_2048.ipynb"
+++ "b/notebooks/00e_Data Analysis_Fine_Tuned_RPP_MNT_2048.ipynb"
@@ -1 +1,3418 @@
-{"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: d:\\code\\projects\\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: d:\\code\\projects\\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":["gpt-4o None True datasets/mac/mac.tsv results/mac-results_rpp_with_mnt_2048.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_rpp_with_mnt_2048.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":["c:\\Users\\dongh\\.conda\\envs\\rapget\\Lib\\site-packages\\threadpoolctl.py:1214: RuntimeWarning: \n","Found Intel OpenMP ('libiomp') and LLVM OpenMP ('libomp') loaded at\n","the same time. Both libraries are known to be incompatible and this\n","can cause random crashes or deadlocks on Linux when loaded in the\n","same Python program.\n","Using threadpoolctl may cause crashes or deadlocks. For more\n","information and possible workarounds, please see\n","    https://github.com/joblib/threadpoolctl/blob/master/multiple_openmp.md\n","\n","  warnings.warn(msg, RuntimeWarning)\n","[nltk_data] Downloading package wordnet to\n","[nltk_data]     C:\\Users\\dongh\\AppData\\Roaming\\nltk_data...\n","[nltk_data]   Package wordnet is already up-to-date!\n","[nltk_data] Downloading package punkt to\n","[nltk_data]     C:\\Users\\dongh\\AppData\\Roaming\\nltk_data...\n","[nltk_data]   Package punkt is already up-to-date!\n","[nltk_data] Downloading package omw-1.4 to\n","[nltk_data]     C:\\Users\\dongh\\AppData\\Roaming\\nltk_data...\n","[nltk_data]   Package omw-1.4 is already up-to-date!\n"]},{"name":"stdout","output_type":"stream","text":["loading: d:\\code\\projects\\rapget-translation\\eval_modules\\calc_repetitions.py\n","loading d:\\code\\projects\\rapget-translation\\llm_toolkit\\translation_utils.py\n"]},{"name":"stderr","output_type":"stream","text":["[nltk_data] Downloading package wordnet to\n","[nltk_data]     C:\\Users\\dongh\\AppData\\Roaming\\nltk_data...\n","[nltk_data]   Package wordnet is already up-to-date!\n","[nltk_data] Downloading package punkt to\n","[nltk_data]     C:\\Users\\dongh\\AppData\\Roaming\\nltk_data...\n","[nltk_data]   Package punkt is already up-to-date!\n","[nltk_data] Downloading package omw-1.4 to\n","[nltk_data]     C:\\Users\\dongh\\AppData\\Roaming\\nltk_data...\n","[nltk_data]   Package omw-1.4 is already up-to-date!\n"]},{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"7ffaeecc96b640b3baeb9bab3be9d1b0","version_major":2,"version_minor":0},"text/plain":["Fetching 5 files:   0%|          | 0/5 [00:00<?, ?it/s]"]},"metadata":{},"output_type":"display_data"},{"name":"stderr","output_type":"stream","text":["Lightning automatically upgraded your loaded checkpoint from v1.8.3.post1 to v2.4.0. To apply the upgrade to your files permanently, run `python -m pytorch_lightning.utilities.upgrade_checkpoint C:\\Users\\dongh\\.cache\\huggingface\\hub\\models--Unbabel--wmt22-comet-da\\snapshots\\371e9839ca4e213dde891b066cf3080f75ec7e72\\checkpoints\\model.ckpt`\n","Encoder model frozen.\n","c:\\Users\\dongh\\.conda\\envs\\rapget\\Lib\\site-packages\\pytorch_lightning\\core\\saving.py:195: Found keys that are not in the model state dict but in the checkpoint: ['encoder.model.embeddings.position_ids']\n"]},{"name":"stdout","output_type":"stream","text":["<class 'pandas.core.frame.DataFrame'>\n","RangeIndex: 1133 entries, 0 to 1132\n","Data columns (total 44 columns):\n"," #   Column                                                            Non-Null Count  Dtype \n","---  ------                                                            --------------  ----- \n"," 0   chinese                                                           1133 non-null   object\n"," 1   english                                                           1133 non-null   object\n"," 2   internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00              1133 non-null   object\n"," 3   internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.02              1133 non-null   object\n"," 4   internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.04              1133 non-null   object\n"," 5   internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06              1133 non-null   object\n"," 6   internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.08              1133 non-null   object\n"," 7   internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10              1133 non-null   object\n"," 8   Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00                    1133 non-null   object\n"," 9   shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00    1133 non-null   object\n"," 10  Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02                    1133 non-null   object\n"," 11  Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.04                    1133 non-null   object\n"," 12  Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.06                    1133 non-null   object\n"," 13  Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.08                    1133 non-null   object\n"," 14  Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.10                    1133 non-null   object\n"," 15  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.00  1133 non-null   object\n"," 16  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.02  1133 non-null   object\n"," 17  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.04  1133 non-null   object\n"," 18  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.06  1133 non-null   object\n"," 19  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.08  1133 non-null   object\n"," 20  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.10  1133 non-null   object\n"," 21  shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.00     1133 non-null   object\n"," 22  shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.02    1133 non-null   object\n"," 23  shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.02     1133 non-null   object\n"," 24  shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.04     1133 non-null   object\n"," 25  shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.06     1133 non-null   object\n"," 26  shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.08     1133 non-null   object\n"," 27  shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.10     1133 non-null   object\n"," 28  shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.04    1133 non-null   object\n"," 29  shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.06    1133 non-null   object\n"," 30  shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.08    1133 non-null   object\n"," 31  shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.10    1133 non-null   object\n"," 32  Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.00                   1133 non-null   object\n"," 33  Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.02                   1133 non-null   object\n"," 34  Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.04                   1133 non-null   object\n"," 35  Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.06                   1133 non-null   object\n"," 36  Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.08                   1133 non-null   object\n"," 37  Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.10                   1133 non-null   object\n"," 38  microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.00           1133 non-null   object\n"," 39  microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.02           1133 non-null   object\n"," 40  microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.04           1133 non-null   object\n"," 41  microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.06           1133 non-null   object\n"," 42  microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.08           1133 non-null   object\n"," 43  microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.10           1133 non-null   object\n","dtypes: object(44)\n","memory usage: 389.6+ 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/checkpoint-560/rpp-1.00',\n"," 'Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.02',\n"," 'Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.04',\n"," 'Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.06',\n"," 'Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.08',\n"," 'Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.10',\n"," 'Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00',\n"," 'Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02',\n"," 'Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.04',\n"," 'Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.06',\n"," 'Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.08',\n"," 'Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.10',\n"," 'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00',\n"," 'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.02',\n"," 'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.04',\n"," 'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06',\n"," 'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.08',\n"," 'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10',\n"," 'microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.00',\n"," 'microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.02',\n"," 'microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.04',\n"," 'microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.06',\n"," 'microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.08',\n"," 'microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.10',\n"," 'shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00',\n"," 'shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.02',\n"," 'shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.04',\n"," 'shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.06',\n"," 'shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.08',\n"," 'shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.10',\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.00',\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.02',\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.04',\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.06',\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.08',\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.10',\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.00',\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.02',\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.04',\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.06',\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.08',\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.10']"]},"execution_count":6,"metadata":{},"output_type":"execute_result"}],"source":["result_columns = [col for col in df.columns[2:].to_list() if \"rpp\" in col]\n","result_columns.sort()\n","result_columns"]},{"cell_type":"code","execution_count":7,"metadata":{},"outputs":[{"data":{"text/plain":["(['Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.00',\n","  'Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.02',\n","  'Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.04',\n","  'Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.06',\n","  'Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.08',\n","  'Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.10',\n","  'Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00',\n","  'Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02',\n","  'Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.04',\n","  'Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.06',\n","  'Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.08',\n","  'Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.10',\n","  'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00',\n","  'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.02',\n","  'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.04',\n","  'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06',\n","  'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.08',\n","  'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10',\n","  'microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.00',\n","  'microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.02',\n","  'microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.04',\n","  'microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.06',\n","  'microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.08',\n","  'microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.10',\n","  'shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00',\n","  'shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.02',\n","  'shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.04',\n","  'shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.06',\n","  'shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.08',\n","  'shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.10',\n","  'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.00',\n","  'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.02',\n","  'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.04',\n","  'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.06',\n","  'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.08',\n","  'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.10',\n","  'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.00',\n","  'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.02',\n","  'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.04',\n","  'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.06',\n","  'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.08',\n","  'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.10'],\n"," ['chinese',\n","  'english',\n","  'Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.00',\n","  'Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.02',\n","  'Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.04',\n","  'Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.06',\n","  'Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.08',\n","  'Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.10',\n","  'Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00',\n","  'Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02',\n","  'Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.04',\n","  'Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.06',\n","  'Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.08',\n","  'Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.10',\n","  'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00',\n","  'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.02',\n","  'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.04',\n","  'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06',\n","  'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.08',\n","  'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10',\n","  'microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.00',\n","  'microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.02',\n","  'microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.04',\n","  'microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.06',\n","  'microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.08',\n","  'microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.10',\n","  'shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00',\n","  'shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.02',\n","  'shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.04',\n","  'shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.06',\n","  'shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.08',\n","  'shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.10',\n","  'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.00',\n","  'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.02',\n","  'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.04',\n","  'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.06',\n","  'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.08',\n","  'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.10',\n","  'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.00',\n","  'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.02',\n","  'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.04',\n","  'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.06',\n","  'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.08',\n","  'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.10'])"]},"execution_count":7,"metadata":{},"output_type":"execute_result"}],"source":["columns = df.columns[:2].to_list() + result_columns\n","df = df[columns]\n","columns = df.columns.to_list()\n","result_columns = df.columns[2:].to_list()\n","result_columns, columns"]},{"cell_type":"code","execution_count":8,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["<class 'pandas.core.frame.DataFrame'>\n","RangeIndex: 1133 entries, 0 to 1132\n","Data columns (total 44 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/checkpoint-560/rpp-1.00                   1133 non-null   object\n"," 3   Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.02                   1133 non-null   object\n"," 4   Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.04                   1133 non-null   object\n"," 5   Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.06                   1133 non-null   object\n"," 6   Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.08                   1133 non-null   object\n"," 7   Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.10                   1133 non-null   object\n"," 8   Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00                    1133 non-null   object\n"," 9   Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02                    1133 non-null   object\n"," 10  Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.04                    1133 non-null   object\n"," 11  Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.06                    1133 non-null   object\n"," 12  Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.08                    1133 non-null   object\n"," 13  Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.10                    1133 non-null   object\n"," 14  internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00              1133 non-null   object\n"," 15  internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.02              1133 non-null   object\n"," 16  internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.04              1133 non-null   object\n"," 17  internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06              1133 non-null   object\n"," 18  internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.08              1133 non-null   object\n"," 19  internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10              1133 non-null   object\n"," 20  microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.00           1133 non-null   object\n"," 21  microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.02           1133 non-null   object\n"," 22  microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.04           1133 non-null   object\n"," 23  microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.06           1133 non-null   object\n"," 24  microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.08           1133 non-null   object\n"," 25  microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.10           1133 non-null   object\n"," 26  shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00    1133 non-null   object\n"," 27  shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.02    1133 non-null   object\n"," 28  shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.04    1133 non-null   object\n"," 29  shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.06    1133 non-null   object\n"," 30  shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.08    1133 non-null   object\n"," 31  shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.10    1133 non-null   object\n"," 32  shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.00     1133 non-null   object\n"," 33  shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.02     1133 non-null   object\n"," 34  shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.04     1133 non-null   object\n"," 35  shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.06     1133 non-null   object\n"," 36  shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.08     1133 non-null   object\n"," 37  shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.10     1133 non-null   object\n"," 38  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.00  1133 non-null   object\n"," 39  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.02  1133 non-null   object\n"," 40  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.04  1133 non-null   object\n"," 41  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.06  1133 non-null   object\n"," 42  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.08  1133 non-null   object\n"," 43  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.10  1133 non-null   object\n","dtypes: object(44)\n","memory usage: 389.6+ KB\n"]}],"source":["df.info()"]},{"cell_type":"code","execution_count":9,"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']\n"]},{"name":"stderr","output_type":"stream","text":["Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\n","Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\n"]},{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"c05c082c565844419645390550555362","version_major":2,"version_minor":0},"text/plain":["tokenizer_config.json:   0%|          | 0.00/3.98k [00:00<?, ?B/s]"]},"metadata":{},"output_type":"display_data"},{"name":"stderr","output_type":"stream","text":["c:\\Users\\dongh\\.conda\\envs\\rapget\\Lib\\site-packages\\huggingface_hub\\file_download.py:148: UserWarning: `huggingface_hub` cache-system uses symlinks by default to efficiently store duplicated files but your machine does not support them in C:\\Users\\dongh\\.cache\\huggingface\\hub\\models--microsoft--Phi-3.5-mini-instruct. Caching files will still work but in a degraded version that might require more space on your disk. This warning can be disabled by setting the `HF_HUB_DISABLE_SYMLINKS_WARNING` environment variable. For more details, see https://huggingface.co/docs/huggingface_hub/how-to-cache#limitations.\n","To support symlinks on Windows, you either need to activate Developer Mode or to run Python as an administrator. In order to see activate developer mode, see this article: https://docs.microsoft.com/en-us/windows/apps/get-started/enable-your-device-for-development\n","  warnings.warn(message)\n"]},{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"db669891a0b44a74a8edb42df9bd0904","version_major":2,"version_minor":0},"text/plain":["tokenizer.model:   0%|          | 0.00/500k [00:00<?, ?B/s]"]},"metadata":{},"output_type":"display_data"},{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"e422a844b8a245778ec2ca29c21b7d59","version_major":2,"version_minor":0},"text/plain":["tokenizer.json:   0%|          | 0.00/1.84M [00:00<?, ?B/s]"]},"metadata":{},"output_type":"display_data"},{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"0a716f4ded5843da99b04b9acc45a65d","version_major":2,"version_minor":0},"text/plain":["added_tokens.json:   0%|          | 0.00/306 [00:00<?, ?B/s]"]},"metadata":{},"output_type":"display_data"},{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"21bffff3720e4d5ebd0715a5a25dea9f","version_major":2,"version_minor":0},"text/plain":["special_tokens_map.json:   0%|          | 0.00/665 [00:00<?, ?B/s]"]},"metadata":{},"output_type":"display_data"},{"name":"stderr","output_type":"stream","text":["Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\n","Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\n","Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\n","You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers\n"]},{"name":"stdout","output_type":"stream","text":["Calculating metrics for Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.00\n"]},{"name":"stderr","output_type":"stream","text":["GPU available: True (cuda), used: True\n","TPU available: False, using: 0 TPU cores\n","HPU available: False, using: 0 HPUs\n","You are using a CUDA device ('NVIDIA GeForce RTX 4080 Laptop GPU') that has Tensor Cores. To properly utilize them, you should set `torch.set_float32_matmul_precision('medium' | 'high')` which will trade-off precision for performance. For more details, read https://pytorch.org/docs/stable/generated/torch.set_float32_matmul_precision.html#torch.set_float32_matmul_precision\n","LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n","Using default tokenizer.\n"]},{"name":"stdout","output_type":"stream","text":["Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.00: {'comet': 0.7570169081439618, 'meteor': 0.47892081926016034, 'sacrebleu': {'score': 18.953782447211417, 'counts': [14728, 6825, 3776, 2214], 'totals': [28290, 27157, 26024, 24895], 'precisions': [52.06079886885826, 25.131641933939683, 14.509683369197663, 8.893352078730668], 'bp': 0.9350441410013948, 'sys_len': 28290, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.18953782447211412, 'precisions': [0.5206079886885825, 0.25131641933939686, 0.14509683369197662, 0.0889335207873067], 'brevity_penalty': 0.9350441410013948, 'length_ratio': 0.937065253395164, 'translation_length': 28290, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.505628709769995, 'rouge2': 0.266799859185521, 'rougeL': 0.4520943414365094, 'rougeLsum': 0.45232300573911083}, 'accuracy': 0.01500441306266549, 'correct_ids': [41, 77, 133, 193, 199, 272, 348, 364, 413, 567, 658, 712, 778, 893, 952, 1011, 1036]}\n","Calculating metrics for Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.02\n"]},{"name":"stderr","output_type":"stream","text":["GPU available: True (cuda), used: True\n","TPU available: False, using: 0 TPU cores\n","HPU available: False, using: 0 HPUs\n","LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n","Using default tokenizer.\n"]},{"name":"stdout","output_type":"stream","text":["Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.02: {'comet': 0.7573581492858762, 'meteor': 0.47968366756320546, 'sacrebleu': {'score': 19.0137490702917, 'counts': [14691, 6830, 3797, 2234], 'totals': [28094, 26961, 25828, 24699], 'precisions': [52.29230440663487, 25.33288824598494, 14.701099581849157, 9.04490060326329], 'bp': 0.9281084604110456, 'sys_len': 28094, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.190137490702917, 'precisions': [0.5229230440663487, 0.2533288824598494, 0.14701099581849156, 0.0904490060326329], 'brevity_penalty': 0.9281084604110456, 'length_ratio': 0.9305730374296125, 'translation_length': 28094, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.5070935550685571, 'rouge2': 0.26731418352642666, 'rougeL': 0.4520458023287854, 'rougeLsum': 0.45258432320297814}, 'accuracy': 0.01323918799646955, 'correct_ids': [41, 77, 133, 193, 199, 272, 348, 413, 567, 658, 712, 778, 893, 952, 1011]}\n","Calculating metrics for Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.04\n"]},{"name":"stderr","output_type":"stream","text":["GPU available: True (cuda), used: True\n","TPU available: False, using: 0 TPU cores\n","HPU available: False, using: 0 HPUs\n","LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n","Using default tokenizer.\n"]},{"name":"stdout","output_type":"stream","text":["Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.04: {'comet': 0.7574983964372501, 'meteor': 0.476362681282195, 'sacrebleu': {'score': 18.52063321160408, 'counts': [14564, 6684, 3677, 2141], 'totals': [27967, 26834, 25701, 24572], 'precisions': [52.07566059999285, 24.90869792054856, 14.306836309871212, 8.71316946117532], 'bp': 0.9235904535319178, 'sys_len': 27967, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.1852063321160408, 'precisions': [0.5207566059999285, 0.2490869792054856, 0.14306836309871213, 0.08713169461175321], 'brevity_penalty': 0.9235904535319178, 'length_ratio': 0.9263663464723418, 'translation_length': 27967, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.5044713525160152, 'rouge2': 0.2642481471989673, 'rougeL': 0.44890405687175916, 'rougeLsum': 0.4491669743748302}, 'accuracy': 0.01323918799646955, 'correct_ids': [41, 77, 133, 193, 199, 272, 348, 364, 413, 567, 658, 712, 778, 893, 1011]}\n","Calculating metrics for Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.06\n"]},{"name":"stderr","output_type":"stream","text":["GPU available: True (cuda), used: True\n","TPU available: False, using: 0 TPU cores\n","HPU available: False, using: 0 HPUs\n","LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n","Using default tokenizer.\n"]},{"name":"stdout","output_type":"stream","text":["Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.06: {'comet': 0.7563851308422812, 'meteor': 0.46796363839506494, 'sacrebleu': {'score': 17.982473951038504, 'counts': [14444, 6501, 3541, 2048], 'totals': [28092, 26959, 25826, 24697], 'precisions': [51.41677345863591, 24.114395934567305, 13.710988925888639, 8.292505162570352], 'bp': 0.9280374570365446, 'sys_len': 28092, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.17982473951038513, 'precisions': [0.5141677345863591, 0.24114395934567306, 0.1371098892588864, 0.08292505162570353], 'brevity_penalty': 0.9280374570365446, 'length_ratio': 0.9305067903279232, 'translation_length': 28092, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.498442711254297, 'rouge2': 0.2559502309600873, 'rougeL': 0.44106220363072907, 'rougeLsum': 0.4413441541077819}, 'accuracy': 0.01235657546337158, 'correct_ids': [41, 133, 147, 193, 199, 348, 364, 413, 567, 658, 712, 778, 893, 1011]}\n","Calculating metrics for Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.08\n"]},{"name":"stderr","output_type":"stream","text":["GPU available: True (cuda), used: True\n","TPU available: False, using: 0 TPU cores\n","HPU available: False, using: 0 HPUs\n","LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n","Using default tokenizer.\n"]},{"name":"stdout","output_type":"stream","text":["Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.08: {'comet': 0.7554470169417962, 'meteor': 0.45975781977116453, 'sacrebleu': {'score': 17.067954025424825, 'counts': [14208, 6202, 3313, 1893], 'totals': [28125, 26992, 25859, 24730], 'precisions': [50.51733333333333, 22.977178423236513, 12.811786998723848, 7.65467044076021], 'bp': 0.9292084147466149, 'sys_len': 28125, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.17067954025424834, 'precisions': [0.5051733333333334, 0.22977178423236513, 0.12811786998723848, 0.0765467044076021], 'brevity_penalty': 0.9292084147466149, 'length_ratio': 0.9315998675057966, 'translation_length': 28125, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.49143346160059387, 'rouge2': 0.24628884933729356, 'rougeL': 0.4317496244624469, 'rougeLsum': 0.43197660111701824}, 'accuracy': 0.009708737864077669, 'correct_ids': [41, 133, 147, 193, 199, 348, 413, 658, 712, 778, 1011]}\n","Calculating metrics for Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.10\n"]},{"name":"stderr","output_type":"stream","text":["GPU available: True (cuda), used: True\n","TPU available: False, using: 0 TPU cores\n","HPU available: False, using: 0 HPUs\n","LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n","Using default tokenizer.\n"]},{"name":"stdout","output_type":"stream","text":["Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.10: {'comet': 0.7550096405046973, 'meteor': 0.4515778511124262, 'sacrebleu': {'score': 16.22452191616505, 'counts': [13956, 5938, 3115, 1748], 'totals': [28120, 26987, 25854, 24725], 'precisions': [49.63015647226174, 22.003186719531627, 12.048425775508626, 7.069767441860465], 'bp': 0.9290310787259491, 'sys_len': 28120, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.16224521916165044, 'precisions': [0.4963015647226173, 0.22003186719531626, 0.12048425775508625, 0.07069767441860465], 'brevity_penalty': 0.9290310787259491, 'length_ratio': 0.9314342497515734, 'translation_length': 28120, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.4852199487631828, 'rouge2': 0.23851823887386897, 'rougeL': 0.42420831846665985, 'rougeLsum': 0.424519782396927}, 'accuracy': 0.0088261253309797, 'correct_ids': [41, 133, 147, 193, 199, 348, 413, 658, 712, 1011]}\n","Calculating metrics for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00\n"]},{"name":"stderr","output_type":"stream","text":["GPU available: True (cuda), used: True\n","TPU available: False, using: 0 TPU cores\n","HPU available: False, using: 0 HPUs\n","LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n","Using default tokenizer.\n"]},{"name":"stdout","output_type":"stream","text":["Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00: {'comet': 0.7457721890965501, 'meteor': 0.442240791493943, 'sacrebleu': {'score': 14.38814929350883, 'counts': [13928, 5797, 2910, 1594], 'totals': [32300, 31167, 30034, 28903], 'precisions': [43.12074303405573, 18.599801071646294, 9.689019111673437, 5.514998443068194], 'bp': 1.0, 'sys_len': 32300, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.1438814929350883, 'precisions': [0.43120743034055725, 0.18599801071646294, 0.09689019111673437, 0.055149984430681934], 'brevity_penalty': 1.0, 'length_ratio': 1.0698906922822127, 'translation_length': 32300, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.4722578377873964, 'rouge2': 0.22763486024820528, 'rougeL': 0.4160546438584113, 'rougeLsum': 0.4159183478743549}, 'accuracy': 0.01235657546337158, 'correct_ids': [41, 77, 133, 193, 240, 272, 348, 533, 567, 658, 659, 778, 813, 893]}\n","Calculating metrics for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02\n"]},{"name":"stderr","output_type":"stream","text":["GPU available: True (cuda), used: True\n","TPU available: False, using: 0 TPU cores\n","HPU available: False, using: 0 HPUs\n","LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n","Using default tokenizer.\n"]},{"name":"stdout","output_type":"stream","text":["Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02: {'comet': 0.7474080664545482, 'meteor': 0.4400998640836595, 'sacrebleu': {'score': 15.16172261831792, 'counts': [13862, 5719, 2841, 1539], 'totals': [30104, 28971, 27839, 26709], 'precisions': [46.047036938612806, 19.74043008525767, 10.205107942095621, 5.762102662024037], 'bp': 0.9971473134442691, 'sys_len': 30104, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.1516172261831792, 'precisions': [0.46047036938612806, 0.1974043008525767, 0.10205107942095622, 0.05762102662024037], 'brevity_penalty': 0.9971473134442691, 'length_ratio': 0.99715137462736, 'translation_length': 30104, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.47317300305327786, 'rouge2': 0.22706944174202473, 'rougeL': 0.4160749445105633, 'rougeLsum': 0.4163266779271286}, 'accuracy': 0.01500441306266549, 'correct_ids': [41, 77, 133, 193, 240, 272, 348, 364, 419, 444, 533, 567, 658, 659, 778, 813, 893]}\n","Calculating metrics for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.04\n"]},{"name":"stderr","output_type":"stream","text":["GPU available: True (cuda), used: True\n","TPU available: False, using: 0 TPU cores\n","HPU available: False, using: 0 HPUs\n","LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n","Using default tokenizer.\n"]},{"name":"stdout","output_type":"stream","text":["Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.04: {'comet': 0.7484375637974869, 'meteor': 0.4390136558190875, 'sacrebleu': {'score': 14.958631815014014, 'counts': [13759, 5613, 2783, 1517], 'totals': [28164, 27031, 25899, 24769], 'precisions': [48.85314585996307, 20.765047538011913, 10.745588632765743, 6.124591222899592], 'bp': 0.9305906335566243, 'sys_len': 28164, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.14958631815014015, 'precisions': [0.4885314585996307, 0.20765047538011913, 0.10745588632765744, 0.06124591222899592], 'brevity_penalty': 0.9305906335566243, 'length_ratio': 0.932891685988738, 'translation_length': 28164, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.47273639312729887, 'rouge2': 0.22521500647288495, 'rougeL': 0.41381116329574685, 'rougeLsum': 0.41416806601505807}, 'accuracy': 0.01500441306266549, 'correct_ids': [41, 77, 133, 193, 240, 272, 348, 364, 419, 533, 534, 567, 658, 659, 712, 778, 893]}\n","Calculating metrics for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.06\n"]},{"name":"stderr","output_type":"stream","text":["GPU available: True (cuda), used: True\n","TPU available: False, using: 0 TPU cores\n","HPU available: False, using: 0 HPUs\n","LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n","Using default tokenizer.\n"]},{"name":"stdout","output_type":"stream","text":["Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.06: {'comet': 0.7471612840233287, 'meteor': 0.43283215765150845, 'sacrebleu': {'score': 14.28087386760537, 'counts': [13576, 5378, 2624, 1414], 'totals': [28015, 26882, 25750, 24620], 'precisions': [48.459753703373195, 20.005951938099845, 10.190291262135922, 5.743298131600325], 'bp': 0.9253002679095207, 'sys_len': 28015, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.14280873867605376, 'precisions': [0.48459753703373193, 0.20005951938099845, 0.10190291262135923, 0.05743298131600325], 'brevity_penalty': 0.9253002679095207, 'length_ratio': 0.9279562769128851, 'translation_length': 28015, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.46744584447487403, 'rouge2': 0.21757753605437863, 'rougeL': 0.4069074178015074, 'rougeLsum': 0.4071877762605637}, 'accuracy': 0.01323918799646955, 'correct_ids': [41, 77, 133, 193, 240, 272, 348, 419, 533, 534, 567, 658, 659, 712, 778]}\n","Calculating metrics for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.08\n"]},{"name":"stderr","output_type":"stream","text":["GPU available: True (cuda), used: True\n","TPU available: False, using: 0 TPU cores\n","HPU available: False, using: 0 HPUs\n","LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n","Using default tokenizer.\n"]},{"name":"stdout","output_type":"stream","text":["Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.08: {'comet': 0.74519401609845, 'meteor': 0.423560805217557, 'sacrebleu': {'score': 13.659683698817107, 'counts': [13292, 5166, 2481, 1331], 'totals': [27989, 26856, 25724, 24593], 'precisions': [47.4900853906892, 19.23592493297587, 9.64468978385943, 5.412109136746229], 'bp': 0.9243744538291634, 'sys_len': 27989, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.1365968369881711, 'precisions': [0.474900853906892, 0.1923592493297587, 0.09644689783859431, 0.054121091367462286], 'brevity_penalty': 0.9243744538291634, 'length_ratio': 0.9270950645909242, 'translation_length': 27989, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.458710433616049, 'rouge2': 0.20862555188337992, 'rougeL': 0.3966315425573522, 'rougeLsum': 0.3967248122698538}, 'accuracy': 0.01235657546337158, 'correct_ids': [41, 193, 240, 272, 348, 364, 419, 533, 534, 567, 658, 659, 712, 778]}\n","Calculating metrics for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.10\n"]},{"name":"stderr","output_type":"stream","text":["GPU available: True (cuda), used: True\n","TPU available: False, using: 0 TPU cores\n","HPU available: False, using: 0 HPUs\n","LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n","Using default tokenizer.\n"]},{"name":"stdout","output_type":"stream","text":["Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.10: {'comet': 0.7432071187016402, 'meteor': 0.41350531365414334, 'sacrebleu': {'score': 12.922649874705083, 'counts': [13085, 4914, 2311, 1222], 'totals': [28265, 27132, 26000, 24869], 'precisions': [46.29400318415001, 18.111455108359134, 8.888461538461538, 4.913748039728175], 'bp': 0.9341619789919756, 'sys_len': 28265, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.12922649874705075, 'precisions': [0.46294003184150007, 0.18111455108359134, 0.08888461538461538, 0.04913748039728175], 'brevity_penalty': 0.9341619789919756, 'length_ratio': 0.9362371646240477, 'translation_length': 28265, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.4494231960131013, 'rouge2': 0.1994701375963568, 'rougeL': 0.3876193185383525, 'rougeLsum': 0.3879212898449016}, 'accuracy': 0.01059135039717564, 'correct_ids': [41, 193, 240, 272, 348, 419, 533, 534, 567, 658, 659, 712]}\n","Calculating metrics for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00\n"]},{"name":"stderr","output_type":"stream","text":["GPU available: True (cuda), used: True\n","TPU available: False, using: 0 TPU cores\n","HPU available: False, using: 0 HPUs\n","LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n","Using default tokenizer.\n"]},{"name":"stdout","output_type":"stream","text":["internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00: {'comet': 0.739699612254078, 'meteor': 0.4289996929258777, 'sacrebleu': {'score': 14.734881589173108, 'counts': [13428, 5621, 2839, 1571], 'totals': [30795, 29662, 28531, 27402], 'precisions': [43.60448124695567, 18.950171937158654, 9.950580070800182, 5.7331581636376905], 'bp': 1.0, 'sys_len': 30795, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.1473488158917311, 'precisions': [0.43604481246955673, 0.18950171937158655, 0.09950580070800183, 0.05733158163637691], 'brevity_penalty': 1.0, 'length_ratio': 1.0200397482610135, 'translation_length': 30795, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.46715287497423946, 'rouge2': 0.2245534175119906, 'rougeL': 0.4096466800937898, 'rougeLsum': 0.409397590241861}, 'accuracy': 0.01323918799646955, 'correct_ids': [41, 77, 193, 272, 348, 364, 444, 533, 567, 658, 659, 712, 778, 893, 1011]}\n","Calculating metrics for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.02\n"]},{"name":"stderr","output_type":"stream","text":["GPU available: True (cuda), used: True\n","TPU available: False, using: 0 TPU cores\n","HPU available: False, using: 0 HPUs\n","LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n","Using default tokenizer.\n"]},{"name":"stdout","output_type":"stream","text":["internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.02: {'comet': 0.740223803961056, 'meteor': 0.42662469043021944, 'sacrebleu': {'score': 14.583816688798015, 'counts': [13214, 5460, 2746, 1487], 'totals': [28429, 27296, 26165, 25036], 'precisions': [46.48070632101024, 20.002930832356387, 10.494935983183643, 5.9394471960377055], 'bp': 0.939935719288393, 'sys_len': 28429, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.1458381668879802, 'precisions': [0.46480706321010234, 0.2000293083235639, 0.10494935983183643, 0.05939447196037706], 'brevity_penalty': 0.939935719288393, 'length_ratio': 0.9416694269625704, 'translation_length': 28429, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.46527989027569006, 'rouge2': 0.22065099260931403, 'rougeL': 0.4071727106228415, 'rougeLsum': 0.4070706316114557}, 'accuracy': 0.01500441306266549, 'correct_ids': [41, 77, 193, 240, 272, 348, 364, 444, 533, 534, 567, 658, 659, 712, 778, 893, 1011]}\n","Calculating metrics for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.04\n"]},{"name":"stderr","output_type":"stream","text":["GPU available: True (cuda), used: True\n","TPU available: False, using: 0 TPU cores\n","HPU available: False, using: 0 HPUs\n","LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n","Using default tokenizer.\n"]},{"name":"stdout","output_type":"stream","text":["internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.04: {'comet': 0.7398856264610577, 'meteor': 0.4154585167056314, 'sacrebleu': {'score': 13.534659133050223, 'counts': [12850, 5100, 2503, 1347], 'totals': [26321, 25188, 24058, 22930], 'precisions': [48.82033357395236, 20.247737017627443, 10.404023609610109, 5.87440034888792], 'bp': 0.8633001107907067, 'sys_len': 26321, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.13534659133050217, 'precisions': [0.48820333573952357, 0.20247737017627443, 0.1040402360961011, 0.0587440034888792], 'brevity_penalty': 0.8633001107907067, 'length_ratio': 0.8718449817820471, 'translation_length': 26321, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.4565864481586761, 'rouge2': 0.21229529596519325, 'rougeL': 0.39686577135897183, 'rougeLsum': 0.3967374536537749}, 'accuracy': 0.01412180052956752, 'correct_ids': [41, 193, 240, 272, 348, 364, 444, 533, 534, 567, 658, 659, 712, 778, 893, 1011]}\n","Calculating metrics for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06\n"]},{"name":"stderr","output_type":"stream","text":["GPU available: True (cuda), used: True\n","TPU available: False, using: 0 TPU cores\n","HPU available: False, using: 0 HPUs\n","LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n","Using default tokenizer.\n"]},{"name":"stdout","output_type":"stream","text":["internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06: {'comet': 0.7379362287241489, 'meteor': 0.40395886478553783, 'sacrebleu': {'score': 12.346740971499404, 'counts': [12516, 4716, 2222, 1165], 'totals': [26449, 25316, 24186, 23058], 'precisions': [47.321259782978565, 18.628535313635645, 9.187133052178947, 5.052476363951774], 'bp': 0.8681055064557217, 'sys_len': 26449, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.12346740971499397, 'precisions': [0.47321259782978564, 0.18628535313635644, 0.09187133052178946, 0.05052476363951774], 'brevity_penalty': 0.8681055064557217, 'length_ratio': 0.8760847962901623, 'translation_length': 26449, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.4491798368115112, 'rouge2': 0.20211342219077086, 'rougeL': 0.3872447044295494, 'rougeLsum': 0.3872541017366947}, 'accuracy': 0.01147396293027361, 'correct_ids': [41, 240, 272, 348, 364, 533, 534, 567, 658, 659, 712, 778, 1011]}\n","Calculating metrics for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.08\n"]},{"name":"stderr","output_type":"stream","text":["GPU available: True (cuda), used: True\n","TPU available: False, using: 0 TPU cores\n","HPU available: False, using: 0 HPUs\n","LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n","Using default tokenizer.\n"]},{"name":"stdout","output_type":"stream","text":["internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.08: {'comet': 0.7319988705684732, 'meteor': 0.3873176839854818, 'sacrebleu': {'score': 11.075674965706343, 'counts': [12026, 4309, 1950, 970], 'totals': [28596, 27463, 26332, 25203], 'precisions': [42.05483284375437, 15.690201361832283, 7.405438250037976, 3.848748164901004], 'bp': 0.9457830579848269, 'sys_len': 28596, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.11075674965706349, 'precisions': [0.4205483284375437, 0.15690201361832284, 0.07405438250037977, 0.03848748164901004], 'brevity_penalty': 0.9457830579848269, 'length_ratio': 0.947201059953627, 'translation_length': 28596, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.4358976711333325, 'rouge2': 0.188431682965404, 'rougeL': 0.37243529096686095, 'rougeLsum': 0.37263445305853726}, 'accuracy': 0.009708737864077669, 'correct_ids': [41, 240, 348, 364, 533, 534, 567, 658, 659, 712, 1011]}\n","Calculating metrics for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10\n"]},{"name":"stderr","output_type":"stream","text":["GPU available: True (cuda), used: True\n","TPU available: False, using: 0 TPU cores\n","HPU available: False, using: 0 HPUs\n","LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n","Using default tokenizer.\n"]},{"name":"stdout","output_type":"stream","text":["internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10: {'comet': 0.7295350462119345, 'meteor': 0.3769306874386757, 'sacrebleu': {'score': 10.305163787094209, 'counts': [11716, 4041, 1786, 873], 'totals': [26948, 25815, 24685, 23557], 'precisions': [43.47632477363812, 15.653689715281812, 7.23516305448653, 3.7059048265908223], 'bp': 0.8866492808918787, 'sys_len': 26948, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.10305163787094214, 'precisions': [0.4347632477363812, 0.15653689715281813, 0.0723516305448653, 0.03705904826590822], 'brevity_penalty': 0.8866492808918787, 'length_ratio': 0.8926134481616429, 'translation_length': 26948, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.4266835958344722, 'rouge2': 0.1806674788010666, 'rougeL': 0.36344961557595074, 'rougeLsum': 0.36346640397681884}, 'accuracy': 0.0088261253309797, 'correct_ids': [240, 348, 364, 534, 567, 658, 659, 668, 712, 1011]}\n","Calculating metrics for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.00\n"]},{"name":"stderr","output_type":"stream","text":["GPU available: True (cuda), used: True\n","TPU available: False, using: 0 TPU cores\n","HPU available: False, using: 0 HPUs\n","LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n","Using default tokenizer.\n"]},{"name":"stdout","output_type":"stream","text":["microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.00: {'comet': 0.7107840433177544, 'meteor': 0.37968315453481294, 'sacrebleu': {'score': 8.71296896471494, 'counts': [12366, 4434, 1998, 1007], 'totals': [38915, 37782, 36651, 35522], 'precisions': [31.776949762302454, 11.735747181197395, 5.451420152246869, 2.8348629018636338], 'bp': 1.0, 'sys_len': 38915, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.08712968964714936, 'precisions': [0.31776949762302453, 0.11735747181197395, 0.05451420152246869, 0.02834862901863634], 'brevity_penalty': 1.0, 'length_ratio': 1.289002981119576, 'translation_length': 38915, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.4133021436489215, 'rouge2': 0.1734433346850247, 'rougeL': 0.35898743959012847, 'rougeLsum': 0.3583768111037314}, 'accuracy': 0.00706090026478376, 'correct_ids': [77, 348, 364, 419, 659, 778, 893, 1000]}\n","Calculating metrics for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.02\n"]},{"name":"stderr","output_type":"stream","text":["GPU available: True (cuda), used: True\n","TPU available: False, using: 0 TPU cores\n","HPU available: False, using: 0 HPUs\n","LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n","Using default tokenizer.\n"]},{"name":"stdout","output_type":"stream","text":["microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.02: {'comet': 0.7164765837070485, 'meteor': 0.3780585837553919, 'sacrebleu': {'score': 10.291240080163629, 'counts': [12155, 4249, 1874, 940], 'totals': [31735, 30602, 29470, 28340], 'precisions': [38.30155979202773, 13.884713417423697, 6.359009161859518, 3.316866619618913], 'bp': 1.0, 'sys_len': 31735, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.10291240080163629, 'precisions': [0.3830155979202773, 0.13884713417423697, 0.06359009161859518, 0.033168666196189134], 'brevity_penalty': 1.0, 'length_ratio': 1.0511758860549851, 'translation_length': 31735, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.41105548251158225, 'rouge2': 0.16970175535511628, 'rougeL': 0.35469527324272765, 'rougeLsum': 0.354760192672003}, 'accuracy': 0.0088261253309797, 'correct_ids': [77, 240, 348, 364, 419, 533, 659, 712, 778, 1000]}\n","Calculating metrics for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.04\n"]},{"name":"stderr","output_type":"stream","text":["GPU available: True (cuda), used: True\n","TPU available: False, using: 0 TPU cores\n","HPU available: False, using: 0 HPUs\n","LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n","Using default tokenizer.\n"]},{"name":"stdout","output_type":"stream","text":["microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.04: {'comet': 0.7111233387336411, 'meteor': 0.35471613338457425, 'sacrebleu': {'score': 8.966881655527896, 'counts': [11504, 3633, 1493, 681], 'totals': [30200, 29067, 27935, 26804], 'precisions': [38.09271523178808, 12.498709877180307, 5.344549847861106, 2.5406655723026415], 'bp': 1.0, 'sys_len': 30200, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.08966881655527896, 'precisions': [0.38092715231788077, 0.12498709877180307, 0.05344549847861106, 0.025406655723026413], 'brevity_penalty': 1.0, 'length_ratio': 1.0003312355084466, 'translation_length': 30200, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.3909936332852581, 'rouge2': 0.14934850039476233, 'rougeL': 0.3300979657678754, 'rougeLsum': 0.3300407332326902}, 'accuracy': 0.0088261253309797, 'correct_ids': [240, 348, 364, 419, 533, 659, 712, 778, 1000, 1011]}\n","Calculating metrics for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.06\n"]},{"name":"stderr","output_type":"stream","text":["GPU available: True (cuda), used: True\n","TPU available: False, using: 0 TPU cores\n","HPU available: False, using: 0 HPUs\n","LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n","Using default tokenizer.\n"]},{"name":"stdout","output_type":"stream","text":["microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.06: {'comet': 0.7024363270136286, 'meteor': 0.3298733737040869, 'sacrebleu': {'score': 7.076233088011138, 'counts': [10738, 2933, 1109, 469], 'totals': [29526, 28393, 27260, 26129], 'precisions': [36.36794689426269, 10.33001091818406, 4.068231841526045, 1.7949404875808488], 'bp': 0.9777623307557094, 'sys_len': 29526, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.07076233088011138, 'precisions': [0.3636794689426268, 0.1033001091818406, 0.04068231841526045, 0.01794940487580849], 'brevity_penalty': 0.9777623307557094, 'length_ratio': 0.978005962239152, 'translation_length': 29526, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.3646279078377309, 'rouge2': 0.12730465176211392, 'rougeL': 0.3019513312669543, 'rougeLsum': 0.30211715991462024}, 'accuracy': 0.00529567519858782, 'correct_ids': [240, 348, 364, 533, 659, 712]}\n","Calculating metrics for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.08\n"]},{"name":"stderr","output_type":"stream","text":["GPU available: True (cuda), used: True\n","TPU available: False, using: 0 TPU cores\n","HPU available: False, using: 0 HPUs\n","LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n","Using default tokenizer.\n"]},{"name":"stdout","output_type":"stream","text":["microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.08: {'comet': 0.6882111219210848, 'meteor': 0.3054541022592767, 'sacrebleu': {'score': 5.105510599247868, 'counts': [9972, 2406, 840, 343], 'totals': [33484, 32351, 31218, 30086], 'precisions': [29.781388125671963, 7.437173503137461, 2.6907553334614644, 1.1400651465798046], 'bp': 1.0, 'sys_len': 33484, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.05105510599247869, 'precisions': [0.29781388125671965, 0.0743717350313746, 0.026907553334614646, 0.011400651465798045], 'brevity_penalty': 1.0, 'length_ratio': 1.1091089764822788, 'translation_length': 33484, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.3360186163940716, 'rouge2': 0.10878674228692767, 'rougeL': 0.27360300072970145, 'rougeLsum': 0.2734145074919905}, 'accuracy': 0.00441306266548985, 'correct_ids': [240, 348, 364, 712, 1011]}\n","Calculating metrics for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.10\n"]},{"name":"stderr","output_type":"stream","text":["GPU available: True (cuda), used: True\n","TPU available: False, using: 0 TPU cores\n","HPU available: False, using: 0 HPUs\n","LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n","Using default tokenizer.\n"]},{"name":"stdout","output_type":"stream","text":["microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.10: {'comet': 0.6712992989638161, 'meteor': 0.2903831801547132, 'sacrebleu': {'score': 4.091958857999118, 'counts': [9645, 2153, 689, 270], 'totals': [35984, 34851, 33718, 32585], 'precisions': [26.803579368608272, 6.177728042236952, 2.0434189453704255, 0.8286021175387448], 'bp': 1.0, 'sys_len': 35984, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.04091958857999117, 'precisions': [0.2680357936860827, 0.06177728042236952, 0.020434189453704253, 0.008286021175387449], 'brevity_penalty': 1.0, 'length_ratio': 1.1919178535939052, 'translation_length': 35984, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.31431586199154005, 'rouge2': 0.0942980907709613, 'rougeL': 0.251653275009876, 'rougeLsum': 0.2518300875420813}, 'accuracy': 0.00176522506619594, 'correct_ids': [240, 712]}\n","Calculating metrics for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00\n"]},{"name":"stderr","output_type":"stream","text":["GPU available: True (cuda), used: True\n","TPU available: False, using: 0 TPU cores\n","HPU available: False, using: 0 HPUs\n","LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n","Using default tokenizer.\n"]},{"name":"stdout","output_type":"stream","text":["shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00: {'comet': 0.7501818982248062, 'meteor': 0.46111105085070175, 'sacrebleu': {'score': 17.87914973742753, 'counts': [14537, 6451, 3472, 2045], 'totals': [28817, 27684, 26552, 25424], 'precisions': [50.445917340458756, 23.30226845831527, 13.076227779451642, 8.043580868470736], 'bp': 0.9534717452604239, 'sys_len': 28817, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.17879149737427524, 'precisions': [0.5044591734045876, 0.23302268458315273, 0.1307622777945164, 0.08043580868470736], 'brevity_penalty': 0.9534717452604239, 'length_ratio': 0.9545213646902948, 'translation_length': 28817, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.49006966935514107, 'rouge2': 0.2525384618645131, 'rougeL': 0.43406620570095644, 'rougeLsum': 0.43393117980052776}, 'accuracy': 0.01323918799646955, 'correct_ids': [41, 77, 133, 147, 199, 348, 413, 493, 531, 533, 617, 658, 778, 952, 1011]}\n","Calculating metrics for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.02\n"]},{"name":"stderr","output_type":"stream","text":["GPU available: True (cuda), used: True\n","TPU available: False, using: 0 TPU cores\n","HPU available: False, using: 0 HPUs\n","LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n","Using default tokenizer.\n"]},{"name":"stdout","output_type":"stream","text":["shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.02: {'comet': 0.7485114382045625, 'meteor': 0.45715172190795766, 'sacrebleu': {'score': 17.436884594979905, 'counts': [14335, 6337, 3371, 1966], 'totals': [28468, 27335, 26203, 25075], 'precisions': [50.354784319235634, 23.18273276019755, 12.864939129107354, 7.8404785643070785], 'bp': 0.9413041514784842, 'sys_len': 28468, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.17436884594979907, 'precisions': [0.5035478431923563, 0.2318273276019755, 0.12864939129107353, 0.07840478564307078], 'brevity_penalty': 0.9413041514784842, 'length_ratio': 0.9429612454455117, 'translation_length': 28468, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.48746421471130486, 'rouge2': 0.24904248371524007, 'rougeL': 0.4311385932640979, 'rougeLsum': 0.4309223865668763}, 'accuracy': 0.01412180052956752, 'correct_ids': [41, 77, 133, 147, 199, 348, 413, 444, 493, 531, 533, 617, 658, 778, 952, 1011]}\n","Calculating metrics for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.04\n"]},{"name":"stderr","output_type":"stream","text":["GPU available: True (cuda), used: True\n","TPU available: False, using: 0 TPU cores\n","HPU available: False, using: 0 HPUs\n","LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n","Using default tokenizer.\n"]},{"name":"stdout","output_type":"stream","text":["shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.04: {'comet': 0.7500591586357918, 'meteor': 0.45604679603642545, 'sacrebleu': {'score': 17.440173470996626, 'counts': [14309, 6308, 3390, 1969], 'totals': [28452, 27319, 26187, 25059], 'precisions': [50.291719387037816, 23.09015703356638, 12.945354565242296, 7.857456402889182], 'bp': 0.9407429564440533, 'sys_len': 28452, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.17440173470996626, 'precisions': [0.5029171938703781, 0.23090157033566383, 0.12945354565242295, 0.07857456402889182], 'brevity_penalty': 0.9407429564440533, 'length_ratio': 0.9424312686319973, 'translation_length': 28452, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.4874011118483018, 'rouge2': 0.2477088322336597, 'rougeL': 0.4302844557731285, 'rougeLsum': 0.4300531292975379}, 'accuracy': 0.01235657546337158, 'correct_ids': [41, 133, 147, 199, 348, 413, 444, 493, 531, 533, 658, 778, 952, 1011]}\n","Calculating metrics for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.06\n"]},{"name":"stderr","output_type":"stream","text":["GPU available: True (cuda), used: True\n","TPU available: False, using: 0 TPU cores\n","HPU available: False, using: 0 HPUs\n","LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n","Using default tokenizer.\n"]},{"name":"stdout","output_type":"stream","text":["shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.06: {'comet': 0.748812871571673, 'meteor': 0.45204163612198556, 'sacrebleu': {'score': 16.89523258317781, 'counts': [14163, 6148, 3259, 1870], 'totals': [28497, 27364, 26232, 25104], 'precisions': [49.69996841772818, 22.467475515275545, 12.423757243061909, 7.449012109623964], 'bp': 0.9423205624714234, 'sys_len': 28497, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.16895232583177808, 'precisions': [0.4969996841772818, 0.22467475515275545, 0.12423757243061909, 0.07449012109623965], 'brevity_penalty': 0.9423205624714234, 'length_ratio': 0.9439218284200066, 'translation_length': 28497, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.4830216956887284, 'rouge2': 0.2430763447300461, 'rougeL': 0.42600267747458376, 'rougeLsum': 0.42580996474806}, 'accuracy': 0.01147396293027361, 'correct_ids': [41, 133, 147, 199, 348, 413, 493, 531, 533, 658, 778, 952, 1011]}\n","Calculating metrics for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.08\n"]},{"name":"stderr","output_type":"stream","text":["GPU available: True (cuda), used: True\n","TPU available: False, using: 0 TPU cores\n","HPU available: False, using: 0 HPUs\n","LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n","Using default tokenizer.\n"]},{"name":"stdout","output_type":"stream","text":["shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.08: {'comet': 0.7473851635144647, 'meteor': 0.4442106511292453, 'sacrebleu': {'score': 16.16623784482793, 'counts': [13902, 5922, 3082, 1753], 'totals': [28347, 27214, 26082, 24954], 'precisions': [49.0422266906551, 21.760858381715295, 11.81657848324515, 7.0249258635890035], 'bp': 0.9370527531171233, 'sys_len': 28347, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.16166237844827927, 'precisions': [0.49042226690655094, 0.21760858381715292, 0.11816578483245149, 0.07024925863589004], 'brevity_penalty': 0.9370527531171233, 'length_ratio': 0.938953295793309, 'translation_length': 28347, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.4783674144465936, 'rouge2': 0.23690791560890204, 'rougeL': 0.41951294705858744, 'rougeLsum': 0.4192724131723702}, 'accuracy': 0.01147396293027361, 'correct_ids': [41, 133, 147, 199, 348, 413, 493, 531, 533, 658, 778, 952, 1011]}\n","Calculating metrics for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.10\n"]},{"name":"stderr","output_type":"stream","text":["GPU available: True (cuda), used: True\n","TPU available: False, using: 0 TPU cores\n","HPU available: False, using: 0 HPUs\n","LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n","Using default tokenizer.\n"]},{"name":"stdout","output_type":"stream","text":["shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.10: {'comet': 0.7465709781131172, 'meteor': 0.43798379261381615, 'sacrebleu': {'score': 15.601722576240661, 'counts': [13764, 5717, 2947, 1664], 'totals': [28491, 27358, 26226, 25098], 'precisions': [48.30999262925134, 20.896995394400175, 11.236940440783956, 6.6300103593911865], 'bp': 0.9421103503520815, 'sys_len': 28491, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.1560172257624066, 'precisions': [0.4830999262925134, 0.20896995394400175, 0.11236940440783955, 0.06630010359391186], 'brevity_penalty': 0.9421103503520812, 'length_ratio': 0.9437230871149387, 'translation_length': 28491, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.47285297516875563, 'rouge2': 0.23035567045298988, 'rougeL': 0.41325629329409785, 'rougeLsum': 0.4132446257664702}, 'accuracy': 0.01147396293027361, 'correct_ids': [41, 133, 147, 199, 348, 413, 477, 493, 531, 533, 658, 778, 1011]}\n","Calculating metrics for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.00\n"]},{"name":"stderr","output_type":"stream","text":["GPU available: True (cuda), used: True\n","TPU available: False, using: 0 TPU cores\n","HPU available: False, using: 0 HPUs\n","LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n","Using default tokenizer.\n"]},{"name":"stdout","output_type":"stream","text":["shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.00: {'comet': 0.7426396049131678, 'meteor': 0.43363250166217604, 'sacrebleu': {'score': 15.209540658023398, 'counts': [13725, 5680, 2864, 1576], 'totals': [30202, 29069, 27938, 26808], 'precisions': [45.44401033044169, 19.5397158484984, 10.251270670770992, 5.878842136675619], 'bp': 1.0, 'sys_len': 30202, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.1520954065802339, 'precisions': [0.4544401033044169, 0.195397158484984, 0.10251270670770993, 0.058788421366756195], 'brevity_penalty': 1.0, 'length_ratio': 1.0003974826101358, 'translation_length': 30202, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.46543632783537436, 'rouge2': 0.22213408853296818, 'rougeL': 0.40892082351514747, 'rougeLsum': 0.4087605670944692}, 'accuracy': 0.0088261253309797, 'correct_ids': [77, 199, 240, 348, 413, 493, 659, 778, 893, 1011]}\n","Calculating metrics for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.02\n"]},{"name":"stderr","output_type":"stream","text":["GPU available: True (cuda), used: True\n","TPU available: False, using: 0 TPU cores\n","HPU available: False, using: 0 HPUs\n","LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n","Using default tokenizer.\n"]},{"name":"stdout","output_type":"stream","text":["shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.02: {'comet': 0.7436477056353469, 'meteor': 0.4329054166518245, 'sacrebleu': {'score': 15.19102241646024, 'counts': [13657, 5640, 2853, 1589], 'totals': [30050, 28917, 27786, 26656], 'precisions': [45.447587354409315, 19.504097935470483, 10.267760742820125, 5.961134453781512], 'bp': 0.9953519340185992, 'sys_len': 30050, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.1519102241646024, 'precisions': [0.4544758735440932, 0.19504097935470485, 0.10267760742820126, 0.05961134453781513], 'brevity_penalty': 0.9953519340185992, 'length_ratio': 0.9953627028817489, 'translation_length': 30050, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.46531060523275286, 'rouge2': 0.22126369655071343, 'rougeL': 0.4068967964789407, 'rougeLsum': 0.40682882283273775}, 'accuracy': 0.0088261253309797, 'correct_ids': [77, 199, 240, 348, 413, 493, 659, 778, 893, 1011]}\n","Calculating metrics for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.04\n"]},{"name":"stderr","output_type":"stream","text":["GPU available: True (cuda), used: True\n","TPU available: False, using: 0 TPU cores\n","HPU available: False, using: 0 HPUs\n","LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n","Using default tokenizer.\n"]},{"name":"stdout","output_type":"stream","text":["shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.04: {'comet': 0.7440943776351209, 'meteor': 0.43204787009562073, 'sacrebleu': {'score': 15.051351661582961, 'counts': [13570, 5619, 2831, 1549], 'totals': [27883, 26750, 25619, 24489], 'precisions': [48.66764695334074, 21.005607476635515, 11.05039228697451, 6.325288905222753], 'bp': 0.9205917711281588, 'sys_len': 27883, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.15051351661582968, 'precisions': [0.48667646953340743, 0.21005607476635513, 0.11050392286974511, 0.06325288905222753], 'brevity_penalty': 0.9205917711281588, 'length_ratio': 0.9235839682013912, 'translation_length': 27883, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.464671426985076, 'rouge2': 0.22029818867098588, 'rougeL': 0.4062008380201262, 'rougeLsum': 0.4061062985625592}, 'accuracy': 0.009708737864077669, 'correct_ids': [77, 199, 240, 348, 413, 493, 533, 659, 778, 893, 1011]}\n","Calculating metrics for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.06\n"]},{"name":"stderr","output_type":"stream","text":["GPU available: True (cuda), used: True\n","TPU available: False, using: 0 TPU cores\n","HPU available: False, using: 0 HPUs\n","LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n","Using default tokenizer.\n"]},{"name":"stdout","output_type":"stream","text":["shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.06: {'comet': 0.7426502735395928, 'meteor': 0.42754293149125455, 'sacrebleu': {'score': 14.449130821290163, 'counts': [13487, 5402, 2675, 1457], 'totals': [27996, 26863, 25733, 24604], 'precisions': [48.174739248464064, 20.109444216952685, 10.39521237321727, 5.921801333116567], 'bp': 0.9246237894263183, 'sys_len': 27996, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.1444913082129016, 'precisions': [0.48174739248464066, 0.20109444216952685, 0.10395212373217269, 0.059218013331165664], 'brevity_penalty': 0.9246237894263183, 'length_ratio': 0.9273269294468367, 'translation_length': 27996, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.4611645666483556, 'rouge2': 0.21364166409600852, 'rougeL': 0.4001409979222783, 'rougeLsum': 0.40032374247274427}, 'accuracy': 0.009708737864077669, 'correct_ids': [77, 199, 240, 348, 413, 419, 493, 533, 659, 778, 1011]}\n","Calculating metrics for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.08\n"]},{"name":"stderr","output_type":"stream","text":["GPU available: True (cuda), used: True\n","TPU available: False, using: 0 TPU cores\n","HPU available: False, using: 0 HPUs\n","LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n","Using default tokenizer.\n"]},{"name":"stdout","output_type":"stream","text":["shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.08: {'comet': 0.7408098006080129, 'meteor': 0.4206626658729054, 'sacrebleu': {'score': 13.933703757385222, 'counts': [13298, 5244, 2554, 1379], 'totals': [27957, 26824, 25695, 24567], 'precisions': [47.56590478234431, 19.54965702356099, 9.93967697995719, 5.613220987503562], 'bp': 0.9232339020413112, 'sys_len': 27957, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.13933703757385224, 'precisions': [0.47565904782344315, 0.1954965702356099, 0.0993967697995719, 0.056132209875035616], 'brevity_penalty': 0.9232339020413112, 'length_ratio': 0.9260351109638953, 'translation_length': 27957, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.45633066682943174, 'rouge2': 0.2079764519707336, 'rougeL': 0.39648242686762036, 'rougeLsum': 0.39635746537589017}, 'accuracy': 0.009708737864077669, 'correct_ids': [77, 199, 240, 348, 413, 419, 493, 533, 659, 778, 1011]}\n","Calculating metrics for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.10\n"]},{"name":"stderr","output_type":"stream","text":["GPU available: True (cuda), used: True\n","TPU available: False, using: 0 TPU cores\n","HPU available: False, using: 0 HPUs\n","LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n","Using default tokenizer.\n"]},{"name":"stdout","output_type":"stream","text":["shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.10: {'comet': 0.7392685912871718, 'meteor': 0.41112112403991513, 'sacrebleu': {'score': 13.303738403756983, 'counts': [13047, 5030, 2416, 1287], 'totals': [28037, 26904, 25774, 24645], 'precisions': [46.53493597745836, 18.696104668450786, 9.37378753782882, 5.2221545952525865], 'bp': 0.9260830302901389, 'sys_len': 28037, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.1330373840375698, 'precisions': [0.4653493597745836, 0.1869610466845079, 0.09373787537828819, 0.052221545952525865], 'brevity_penalty': 0.9260830302901389, 'length_ratio': 0.9286849950314674, 'translation_length': 28037, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.44638585740088044, 'rouge2': 0.20105443114095412, 'rougeL': 0.38709595815635034, 'rougeLsum': 0.3871248952907696}, 'accuracy': 0.009708737864077669, 'correct_ids': [77, 199, 240, 348, 413, 493, 533, 659, 712, 778, 1011]}\n","Calculating metrics for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.00\n"]},{"name":"stderr","output_type":"stream","text":["GPU available: True (cuda), used: True\n","TPU available: False, using: 0 TPU cores\n","HPU available: False, using: 0 HPUs\n","LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n","Using default tokenizer.\n"]},{"name":"stdout","output_type":"stream","text":["shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.00: {'comet': 0.7240239171358935, 'meteor': 0.4068335357738006, 'sacrebleu': {'score': 13.565136550617618, 'counts': [12838, 5088, 2483, 1364], 'totals': [27178, 26045, 24913, 23782], 'precisions': [47.23673559496652, 19.535419466308312, 9.966684060530646, 5.735430157261795], 'bp': 0.8950954378435743, 'sys_len': 27178, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.13565136550617618, 'precisions': [0.47236735594966517, 0.19535419466308312, 0.09966684060530646, 0.05735430157261795], 'brevity_penalty': 0.8950954378435743, 'length_ratio': 0.9002318648559126, 'translation_length': 27178, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.44130990646757856, 'rouge2': 0.20737280047602835, 'rougeL': 0.38663950670554986, 'rougeLsum': 0.38689670083074545}, 'accuracy': 0.01235657546337158, 'correct_ids': [77, 170, 193, 199, 240, 348, 364, 413, 501, 659, 712, 893, 1000, 1011]}\n","Calculating metrics for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.02\n"]},{"name":"stderr","output_type":"stream","text":["GPU available: True (cuda), used: True\n","TPU available: False, using: 0 TPU cores\n","HPU available: False, using: 0 HPUs\n","LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n","Using default tokenizer.\n"]},{"name":"stdout","output_type":"stream","text":["shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.02: {'comet': 0.7263097057327799, 'meteor': 0.4064914781094827, 'sacrebleu': {'score': 13.42987641622816, 'counts': [12758, 5058, 2451, 1341], 'totals': [28989, 27856, 26726, 25597], 'precisions': [44.00979681948325, 18.15766800689259, 9.170844870163885, 5.238895183029261], 'bp': 0.959416964423744, 'sys_len': 28989, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.1342987641622816, 'precisions': [0.44009796819483255, 0.1815766800689259, 0.09170844870163886, 0.052388951830292615], 'brevity_penalty': 0.959416964423744, 'length_ratio': 0.9602186154355747, 'translation_length': 28989, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.44141034385063893, 'rouge2': 0.20817239814516564, 'rougeL': 0.38636978210251594, 'rougeLsum': 0.38668003621751}, 'accuracy': 0.01235657546337158, 'correct_ids': [77, 170, 193, 199, 240, 348, 364, 413, 419, 533, 659, 712, 893, 1011]}\n","Calculating metrics for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.04\n"]},{"name":"stderr","output_type":"stream","text":["GPU available: True (cuda), used: True\n","TPU available: False, using: 0 TPU cores\n","HPU available: False, using: 0 HPUs\n","LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n","Using default tokenizer.\n"]},{"name":"stdout","output_type":"stream","text":["shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.04: {'comet': 0.7276128307708258, 'meteor': 0.40548598969949756, 'sacrebleu': {'score': 13.295092218891954, 'counts': [12724, 5025, 2429, 1319], 'totals': [26738, 25605, 24475, 23346], 'precisions': [47.587702894756525, 19.625073227885178, 9.924412665985699, 5.649790113938148], 'bp': 0.8788819900620147, 'sys_len': 26738, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.13295092218891957, 'precisions': [0.4758770289475653, 0.19625073227885179, 0.09924412665985699, 0.05649790113938148], 'brevity_penalty': 0.8788819900620147, 'length_ratio': 0.8856575024842663, 'translation_length': 26738, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.44114269236344633, 'rouge2': 0.20686571425257666, 'rougeL': 0.38512037299356977, 'rougeLsum': 0.3852655219261718}, 'accuracy': 0.01235657546337158, 'correct_ids': [77, 170, 193, 199, 240, 348, 364, 413, 419, 533, 659, 712, 893, 1011]}\n","Calculating metrics for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.06\n"]},{"name":"stderr","output_type":"stream","text":["GPU available: True (cuda), used: True\n","TPU available: False, using: 0 TPU cores\n","HPU available: False, using: 0 HPUs\n","LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n","Using default tokenizer.\n"]},{"name":"stdout","output_type":"stream","text":["shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.06: {'comet': 0.7276865132383193, 'meteor': 0.4014727027723293, 'sacrebleu': {'score': 13.10860799057166, 'counts': [12576, 4920, 2380, 1316], 'totals': [26625, 25492, 24362, 23233], 'precisions': [47.23380281690141, 19.30017260316962, 9.769312864296856, 5.664356733956011], 'bp': 0.8746804025147011, 'sys_len': 26625, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.1310860799057166, 'precisions': [0.4723380281690141, 0.1930017260316962, 0.09769312864296856, 0.05664356733956011], 'brevity_penalty': 0.8746804025147012, 'length_ratio': 0.8819145412388208, 'translation_length': 26625, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.437188304818749, 'rouge2': 0.2040363990067653, 'rougeL': 0.38049527863066884, 'rougeLsum': 0.38083625202986854}, 'accuracy': 0.01323918799646955, 'correct_ids': [77, 170, 193, 199, 240, 348, 364, 413, 419, 533, 658, 659, 712, 1000, 1011]}\n","Calculating metrics for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.08\n"]},{"name":"stderr","output_type":"stream","text":["GPU available: True (cuda), used: True\n","TPU available: False, using: 0 TPU cores\n","HPU available: False, using: 0 HPUs\n","LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n","Using default tokenizer.\n"]},{"name":"stdout","output_type":"stream","text":["shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.08: {'comet': 0.726393195584298, 'meteor': 0.3987018836449559, 'sacrebleu': {'score': 12.850537785783194, 'counts': [12492, 4841, 2333, 1268], 'totals': [26674, 25541, 24411, 23282], 'precisions': [46.832121166679165, 18.953838925648956, 9.557166851009791, 5.446267502791857], 'bp': 0.8765042277224284, 'sys_len': 26674, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.1285053778578319, 'precisions': [0.46832121166679164, 0.18953838925648955, 0.0955716685100979, 0.054462675027918565], 'brevity_penalty': 0.8765042277224284, 'length_ratio': 0.8835375952302087, 'translation_length': 26674, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.4365556909697325, 'rouge2': 0.20172255074932244, 'rougeL': 0.37889459557464955, 'rougeLsum': 0.37927025703932093}, 'accuracy': 0.01412180052956752, 'correct_ids': [77, 170, 193, 199, 240, 348, 364, 413, 419, 533, 534, 658, 659, 712, 1000, 1011]}\n","Calculating metrics for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.10\n"]},{"name":"stderr","output_type":"stream","text":["GPU available: True (cuda), used: True\n","TPU available: False, using: 0 TPU cores\n","HPU available: False, using: 0 HPUs\n","LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n","Using default tokenizer.\n"]},{"name":"stdout","output_type":"stream","text":["shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.10: {'comet': 0.7244012304511832, 'meteor': 0.39322399484561765, 'sacrebleu': {'score': 12.361161644811926, 'counts': [12268, 4702, 2227, 1194], 'totals': [26524, 25391, 24261, 23132], 'precisions': [46.2524506107676, 18.518372651726988, 9.179341329706112, 5.16168078851807], 'bp': 0.8709119070178578, 'sys_len': 26524, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.12361161644811926, 'precisions': [0.4625245061076761, 0.1851837265172699, 0.09179341329706113, 0.0516168078851807], 'brevity_penalty': 0.8709119070178578, 'length_ratio': 0.8785690626035111, 'translation_length': 26524, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.4310800538812166, 'rouge2': 0.19530652703570217, 'rougeL': 0.37334138070076656, 'rougeLsum': 0.3734253805204482}, 'accuracy': 0.01323918799646955, 'correct_ids': [77, 170, 193, 199, 240, 348, 364, 413, 419, 533, 534, 658, 659, 712, 1011]}\n"]},{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>model</th>\n","      <th>rpp</th>\n","      <th>comet</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>translation_completeness</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>1.00</td>\n","      <td>0.757017</td>\n","      <td>0.478921</td>\n","      <td>18.953782</td>\n","      <td>0.189538</td>\n","      <td>0.452094</td>\n","      <td>0.0</td>\n","      <td>0.098853</td>\n","      <td>0.098853</td>\n","      <td>0.753797</td>\n","      <td>1.000000</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>Qwen/Qwen2-72B-Instruct</td>\n","      <td>1.02</td>\n","      <td>0.757358</td>\n","      <td>0.479684</td>\n","      <td>19.013749</td>\n","      <td>0.190137</td>\n","      <td>0.452046</td>\n","      <td>0.0</td>\n","      <td>0.081200</td>\n","      <td>0.081200</td>\n","      <td>0.754707</td>\n","      <td>1.000000</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>Qwen/Qwen2-72B-Instruct</td>\n","      <td>1.04</td>\n","      <td>0.757498</td>\n","      <td>0.476363</td>\n","      <td>18.520633</td>\n","      <td>0.185206</td>\n","      <td>0.448904</td>\n","      <td>0.0</td>\n","      <td>0.105031</td>\n","      <td>0.105031</td>\n","      <td>0.754077</td>\n","      <td>1.000000</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>Qwen/Qwen2-72B-Instruct</td>\n","      <td>1.06</td>\n","      <td>0.756385</td>\n","      <td>0.467964</td>\n","      <td>17.982474</td>\n","      <td>0.179825</td>\n","      <td>0.441062</td>\n","      <td>0.0</td>\n","      <td>0.073257</td>\n","      <td>0.073257</td>\n","      <td>0.753995</td>\n","      <td>1.000000</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>Qwen/Qwen2-72B-Instruct</td>\n","      <td>1.08</td>\n","      <td>0.755447</td>\n","      <td>0.459758</td>\n","      <td>17.067954</td>\n","      <td>0.170680</td>\n","      <td>0.431750</td>\n","      <td>0.0</td>\n","      <td>0.047661</td>\n","      <td>0.047661</td>\n","      <td>0.753890</td>\n","      <td>1.000000</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>Qwen/Qwen2-72B-Instruct</td>\n","      <td>1.10</td>\n","      <td>0.755010</td>\n","      <td>0.451578</td>\n","      <td>16.224522</td>\n","      <td>0.162245</td>\n","      <td>0.424208</td>\n","      <td>0.0</td>\n","      <td>0.057370</td>\n","      <td>0.057370</td>\n","      <td>0.753139</td>\n","      <td>1.000000</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>1.00</td>\n","      <td>0.745772</td>\n","      <td>0.442241</td>\n","      <td>14.388149</td>\n","      <td>0.143881</td>\n","      <td>0.416055</td>\n","      <td>0.0</td>\n","      <td>12.812886</td>\n","      <td>12.812886</td>\n","      <td>0.549097</td>\n","      <td>0.994704</td>\n","      <td>2</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>1.02</td>\n","      <td>0.747408</td>\n","      <td>0.440100</td>\n","      <td>15.161723</td>\n","      <td>0.151617</td>\n","      <td>0.416075</td>\n","      <td>0.0</td>\n","      <td>7.156222</td>\n","      <td>7.156222</td>\n","      <td>0.605472</td>\n","      <td>0.994704</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>1.04</td>\n","      <td>0.748438</td>\n","      <td>0.439014</td>\n","      <td>14.958632</td>\n","      <td>0.149586</td>\n","      <td>0.413811</td>\n","      <td>0.0</td>\n","      <td>0.185349</td>\n","      <td>0.185349</td>\n","      <td>0.742515</td>\n","      <td>0.999117</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>9</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>1.06</td>\n","      <td>0.747161</td>\n","      <td>0.432832</td>\n","      <td>14.280874</td>\n","      <td>0.142809</td>\n","      <td>0.406907</td>\n","      <td>0.0</td>\n","      <td>0.203001</td>\n","      <td>0.203001</td>\n","      <td>0.740697</td>\n","      <td>0.998235</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>10</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>1.08</td>\n","      <td>0.745194</td>\n","      <td>0.423561</td>\n","      <td>13.659684</td>\n","      <td>0.136597</td>\n","      <td>0.396632</td>\n","      <td>0.0</td>\n","      <td>0.221536</td>\n","      <td>0.221536</td>\n","      <td>0.738169</td>\n","      <td>1.000000</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>11</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>1.10</td>\n","      <td>0.743207</td>\n","      <td>0.413505</td>\n","      <td>12.922650</td>\n","      <td>0.129226</td>\n","      <td>0.387619</td>\n","      <td>0.0</td>\n","      <td>0.177405</td>\n","      <td>0.177405</td>\n","      <td>0.737574</td>\n","      <td>1.000000</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>12</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>1.00</td>\n","      <td>0.739700</td>\n","      <td>0.429000</td>\n","      <td>14.734882</td>\n","      <td>0.147349</td>\n","      <td>0.409647</td>\n","      <td>0.0</td>\n","      <td>12.751103</td>\n","      <td>12.751103</td>\n","      <td>0.545098</td>\n","      <td>1.000000</td>\n","      <td>2</td>\n","    </tr>\n","    <tr>\n","      <th>13</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>1.02</td>\n","      <td>0.740224</td>\n","      <td>0.426625</td>\n","      <td>14.583817</td>\n","      <td>0.145838</td>\n","      <td>0.407173</td>\n","      <td>0.0</td>\n","      <td>9.824360</td>\n","      <td>9.824360</td>\n","      <td>0.570632</td>\n","      <td>1.000000</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>14</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>1.04</td>\n","      <td>0.739886</td>\n","      <td>0.415459</td>\n","      <td>13.534659</td>\n","      <td>0.135347</td>\n","      <td>0.396866</td>\n","      <td>0.0</td>\n","      <td>6.527802</td>\n","      <td>6.527802</td>\n","      <td>0.607352</td>\n","      <td>1.000000</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>15</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>1.06</td>\n","      <td>0.737936</td>\n","      <td>0.403959</td>\n","      <td>12.346741</td>\n","      <td>0.123467</td>\n","      <td>0.387245</td>\n","      <td>0.0</td>\n","      <td>6.533981</td>\n","      <td>6.533981</td>\n","      <td>0.605671</td>\n","      <td>0.999117</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>16</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>1.08</td>\n","      <td>0.731999</td>\n","      <td>0.387318</td>\n","      <td>11.075675</td>\n","      <td>0.110757</td>\n","      <td>0.372435</td>\n","      <td>0.0</td>\n","      <td>9.820830</td>\n","      <td>9.820830</td>\n","      <td>0.564325</td>\n","      <td>0.999117</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>17</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>1.10</td>\n","      <td>0.729535</td>\n","      <td>0.376931</td>\n","      <td>10.305164</td>\n","      <td>0.103052</td>\n","      <td>0.363450</td>\n","      <td>0.0</td>\n","      <td>6.525154</td>\n","      <td>6.525154</td>\n","      <td>0.598890</td>\n","      <td>0.999117</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>18</th>\n","      <td>microsoft/Phi-3.5-mini-instruct</td>\n","      <td>1.00</td>\n","      <td>0.710784</td>\n","      <td>0.379683</td>\n","      <td>8.712969</td>\n","      <td>0.087130</td>\n","      <td>0.358987</td>\n","      <td>0.0</td>\n","      <td>28.426302</td>\n","      <td>28.426302</td>\n","      <td>0.448549</td>\n","      <td>1.000000</td>\n","      <td>6</td>\n","    </tr>\n","    <tr>\n","      <th>19</th>\n","      <td>microsoft/Phi-3.5-mini-instruct</td>\n","      <td>1.02</td>\n","      <td>0.716477</td>\n","      <td>0.378059</td>\n","      <td>10.291240</td>\n","      <td>0.102912</td>\n","      <td>0.354695</td>\n","      <td>0.0</td>\n","      <td>10.696381</td>\n","      <td>10.696381</td>\n","      <td>0.544479</td>\n","      <td>1.000000</td>\n","      <td>2</td>\n","    </tr>\n","    <tr>\n","      <th>20</th>\n","      <td>microsoft/Phi-3.5-mini-instruct</td>\n","      <td>1.04</td>\n","      <td>0.711123</td>\n","      <td>0.354716</td>\n","      <td>8.966882</td>\n","      <td>0.089669</td>\n","      <td>0.330098</td>\n","      <td>0.0</td>\n","      <td>3.748455</td>\n","      <td>3.748455</td>\n","      <td>0.624749</td>\n","      <td>1.000000</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>21</th>\n","      <td>microsoft/Phi-3.5-mini-instruct</td>\n","      <td>1.06</td>\n","      <td>0.702436</td>\n","      <td>0.329873</td>\n","      <td>7.076233</td>\n","      <td>0.070762</td>\n","      <td>0.301951</td>\n","      <td>0.0</td>\n","      <td>0.107679</td>\n","      <td>0.107679</td>\n","      <td>0.699184</td>\n","      <td>1.000000</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>22</th>\n","      <td>microsoft/Phi-3.5-mini-instruct</td>\n","      <td>1.08</td>\n","      <td>0.688211</td>\n","      <td>0.305454</td>\n","      <td>5.105511</td>\n","      <td>0.051055</td>\n","      <td>0.273603</td>\n","      <td>0.0</td>\n","      <td>3.295675</td>\n","      <td>3.295675</td>\n","      <td>0.612445</td>\n","      <td>1.000000</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>23</th>\n","      <td>microsoft/Phi-3.5-mini-instruct</td>\n","      <td>1.10</td>\n","      <td>0.671299</td>\n","      <td>0.290383</td>\n","      <td>4.091959</td>\n","      <td>0.040920</td>\n","      <td>0.251653</td>\n","      <td>0.0</td>\n","      <td>0.077670</td>\n","      <td>0.077670</td>\n","      <td>0.669051</td>\n","      <td>1.000000</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>1.00</td>\n","      <td>0.750182</td>\n","      <td>0.461111</td>\n","      <td>17.879150</td>\n","      <td>0.178791</td>\n","      <td>0.434066</td>\n","      <td>0.0</td>\n","      <td>0.088261</td>\n","      <td>0.088261</td>\n","      <td>0.747330</td>\n","      <td>1.000000</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>1.02</td>\n","      <td>0.748511</td>\n","      <td>0.457152</td>\n","      <td>17.436885</td>\n","      <td>0.174369</td>\n","      <td>0.431139</td>\n","      <td>0.0</td>\n","      <td>0.092674</td>\n","      <td>0.092674</td>\n","      <td>0.745525</td>\n","      <td>1.000000</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>1.04</td>\n","      <td>0.750059</td>\n","      <td>0.456047</td>\n","      <td>17.440173</td>\n","      <td>0.174402</td>\n","      <td>0.430284</td>\n","      <td>0.0</td>\n","      <td>0.130627</td>\n","      <td>0.130627</td>\n","      <td>0.745855</td>\n","      <td>1.000000</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>1.06</td>\n","      <td>0.748813</td>\n","      <td>0.452042</td>\n","      <td>16.895233</td>\n","      <td>0.168952</td>\n","      <td>0.426003</td>\n","      <td>0.0</td>\n","      <td>0.125331</td>\n","      <td>0.125331</td>\n","      <td>0.744784</td>\n","      <td>1.000000</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>1.08</td>\n","      <td>0.747385</td>\n","      <td>0.444211</td>\n","      <td>16.166238</td>\n","      <td>0.161662</td>\n","      <td>0.419513</td>\n","      <td>0.0</td>\n","      <td>0.187114</td>\n","      <td>0.187114</td>\n","      <td>0.741416</td>\n","      <td>1.000000</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>1.10</td>\n","      <td>0.746571</td>\n","      <td>0.437984</td>\n","      <td>15.601723</td>\n","      <td>0.156017</td>\n","      <td>0.413256</td>\n","      <td>0.0</td>\n","      <td>0.086496</td>\n","      <td>0.086496</td>\n","      <td>0.743789</td>\n","      <td>1.000000</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>1.00</td>\n","      <td>0.742640</td>\n","      <td>0.433633</td>\n","      <td>15.209541</td>\n","      <td>0.152095</td>\n","      <td>0.408921</td>\n","      <td>0.0</td>\n","      <td>5.798764</td>\n","      <td>5.798764</td>\n","      <td>0.619577</td>\n","      <td>1.000000</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>31</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>1.02</td>\n","      <td>0.743648</td>\n","      <td>0.432905</td>\n","      <td>15.191022</td>\n","      <td>0.151910</td>\n","      <td>0.406897</td>\n","      <td>0.0</td>\n","      <td>5.778464</td>\n","      <td>5.778464</td>\n","      <td>0.620707</td>\n","      <td>1.000000</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>32</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>1.04</td>\n","      <td>0.744094</td>\n","      <td>0.432048</td>\n","      <td>15.051352</td>\n","      <td>0.150514</td>\n","      <td>0.406201</td>\n","      <td>0.0</td>\n","      <td>0.118270</td>\n","      <td>0.118270</td>\n","      <td>0.740314</td>\n","      <td>1.000000</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>1.06</td>\n","      <td>0.742650</td>\n","      <td>0.427543</td>\n","      <td>14.449131</td>\n","      <td>0.144491</td>\n","      <td>0.400141</td>\n","      <td>0.0</td>\n","      <td>0.176523</td>\n","      <td>0.176523</td>\n","      <td>0.737049</td>\n","      <td>1.000000</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>1.08</td>\n","      <td>0.740810</td>\n","      <td>0.420663</td>\n","      <td>13.933704</td>\n","      <td>0.139337</td>\n","      <td>0.396482</td>\n","      <td>0.0</td>\n","      <td>0.218888</td>\n","      <td>0.218888</td>\n","      <td>0.733908</td>\n","      <td>1.000000</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>1.10</td>\n","      <td>0.739269</td>\n","      <td>0.411121</td>\n","      <td>13.303738</td>\n","      <td>0.133037</td>\n","      <td>0.387096</td>\n","      <td>0.0</td>\n","      <td>0.138570</td>\n","      <td>0.138570</td>\n","      <td>0.734876</td>\n","      <td>1.000000</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>1.00</td>\n","      <td>0.724024</td>\n","      <td>0.406834</td>\n","      <td>13.565137</td>\n","      <td>0.135651</td>\n","      <td>0.386640</td>\n","      <td>0.0</td>\n","      <td>0.105914</td>\n","      <td>0.105914</td>\n","      <td>0.720726</td>\n","      <td>1.000000</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>1.02</td>\n","      <td>0.726310</td>\n","      <td>0.406491</td>\n","      <td>13.429876</td>\n","      <td>0.134299</td>\n","      <td>0.386370</td>\n","      <td>0.0</td>\n","      <td>6.238305</td>\n","      <td>6.238305</td>\n","      <td>0.599988</td>\n","      <td>1.000000</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>38</th>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>1.04</td>\n","      <td>0.727613</td>\n","      <td>0.405486</td>\n","      <td>13.295092</td>\n","      <td>0.132951</td>\n","      <td>0.385120</td>\n","      <td>0.0</td>\n","      <td>0.129744</td>\n","      <td>0.129744</td>\n","      <td>0.723562</td>\n","      <td>1.000000</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>1.06</td>\n","      <td>0.727687</td>\n","      <td>0.401473</td>\n","      <td>13.108608</td>\n","      <td>0.131086</td>\n","      <td>0.380495</td>\n","      <td>0.0</td>\n","      <td>0.207414</td>\n","      <td>0.207414</td>\n","      <td>0.721256</td>\n","      <td>1.000000</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>1.08</td>\n","      <td>0.726393</td>\n","      <td>0.398702</td>\n","      <td>12.850538</td>\n","      <td>0.128505</td>\n","      <td>0.378895</td>\n","      <td>0.0</td>\n","      <td>0.290380</td>\n","      <td>0.290380</td>\n","      <td>0.717474</td>\n","      <td>1.000000</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>1.10</td>\n","      <td>0.724401</td>\n","      <td>0.393224</td>\n","      <td>12.361162</td>\n","      <td>0.123612</td>\n","      <td>0.373341</td>\n","      <td>0.0</td>\n","      <td>0.150044</td>\n","      <td>0.150044</td>\n","      <td>0.719746</td>\n","      <td>1.000000</td>\n","      <td>0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                                        model   rpp     comet    meteor  \\\n","0                     Qwen/Qwen2-72B-Instruct  1.00  0.757017  0.478921   \n","1                     Qwen/Qwen2-72B-Instruct  1.02  0.757358  0.479684   \n","2                     Qwen/Qwen2-72B-Instruct  1.04  0.757498  0.476363   \n","3                     Qwen/Qwen2-72B-Instruct  1.06  0.756385  0.467964   \n","4                     Qwen/Qwen2-72B-Instruct  1.08  0.755447  0.459758   \n","5                     Qwen/Qwen2-72B-Instruct  1.10  0.755010  0.451578   \n","6                      Qwen/Qwen2-7B-Instruct  1.00  0.745772  0.442241   \n","7                      Qwen/Qwen2-7B-Instruct  1.02  0.747408  0.440100   \n","8                      Qwen/Qwen2-7B-Instruct  1.04  0.748438  0.439014   \n","9                      Qwen/Qwen2-7B-Instruct  1.06  0.747161  0.432832   \n","10                     Qwen/Qwen2-7B-Instruct  1.08  0.745194  0.423561   \n","11                     Qwen/Qwen2-7B-Instruct  1.10  0.743207  0.413505   \n","12               internlm/internlm2_5-7b-chat  1.00  0.739700  0.429000   \n","13               internlm/internlm2_5-7b-chat  1.02  0.740224  0.426625   \n","14               internlm/internlm2_5-7b-chat  1.04  0.739886  0.415459   \n","15               internlm/internlm2_5-7b-chat  1.06  0.737936  0.403959   \n","16               internlm/internlm2_5-7b-chat  1.08  0.731999  0.387318   \n","17               internlm/internlm2_5-7b-chat  1.10  0.729535  0.376931   \n","18            microsoft/Phi-3.5-mini-instruct  1.00  0.710784  0.379683   \n","19            microsoft/Phi-3.5-mini-instruct  1.02  0.716477  0.378059   \n","20            microsoft/Phi-3.5-mini-instruct  1.04  0.711123  0.354716   \n","21            microsoft/Phi-3.5-mini-instruct  1.06  0.702436  0.329873   \n","22            microsoft/Phi-3.5-mini-instruct  1.08  0.688211  0.305454   \n","23            microsoft/Phi-3.5-mini-instruct  1.10  0.671299  0.290383   \n","24     shenzhi-wang/Llama3.1-70B-Chinese-Chat  1.00  0.750182  0.461111   \n","25     shenzhi-wang/Llama3.1-70B-Chinese-Chat  1.02  0.748511  0.457152   \n","26     shenzhi-wang/Llama3.1-70B-Chinese-Chat  1.04  0.750059  0.456047   \n","27     shenzhi-wang/Llama3.1-70B-Chinese-Chat  1.06  0.748813  0.452042   \n","28     shenzhi-wang/Llama3.1-70B-Chinese-Chat  1.08  0.747385  0.444211   \n","29     shenzhi-wang/Llama3.1-70B-Chinese-Chat  1.10  0.746571  0.437984   \n","30      shenzhi-wang/Llama3.1-8B-Chinese-Chat  1.00  0.742640  0.433633   \n","31      shenzhi-wang/Llama3.1-8B-Chinese-Chat  1.02  0.743648  0.432905   \n","32      shenzhi-wang/Llama3.1-8B-Chinese-Chat  1.04  0.744094  0.432048   \n","33      shenzhi-wang/Llama3.1-8B-Chinese-Chat  1.06  0.742650  0.427543   \n","34      shenzhi-wang/Llama3.1-8B-Chinese-Chat  1.08  0.740810  0.420663   \n","35      shenzhi-wang/Llama3.1-8B-Chinese-Chat  1.10  0.739269  0.411121   \n","36  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat  1.00  0.724024  0.406834   \n","37  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat  1.02  0.726310  0.406491   \n","38  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat  1.04  0.727613  0.405486   \n","39  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat  1.06  0.727687  0.401473   \n","40  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat  1.08  0.726393  0.398702   \n","41  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat  1.10  0.724401  0.393224   \n","\n","       spbleu    bleu_1   rouge_l  ews_score  repetition_score  \\\n","0   18.953782  0.189538  0.452094        0.0          0.098853   \n","1   19.013749  0.190137  0.452046        0.0          0.081200   \n","2   18.520633  0.185206  0.448904        0.0          0.105031   \n","3   17.982474  0.179825  0.441062        0.0          0.073257   \n","4   17.067954  0.170680  0.431750        0.0          0.047661   \n","5   16.224522  0.162245  0.424208        0.0          0.057370   \n","6   14.388149  0.143881  0.416055        0.0         12.812886   \n","7   15.161723  0.151617  0.416075        0.0          7.156222   \n","8   14.958632  0.149586  0.413811        0.0          0.185349   \n","9   14.280874  0.142809  0.406907        0.0          0.203001   \n","10  13.659684  0.136597  0.396632        0.0          0.221536   \n","11  12.922650  0.129226  0.387619        0.0          0.177405   \n","12  14.734882  0.147349  0.409647        0.0         12.751103   \n","13  14.583817  0.145838  0.407173        0.0          9.824360   \n","14  13.534659  0.135347  0.396866        0.0          6.527802   \n","15  12.346741  0.123467  0.387245        0.0          6.533981   \n","16  11.075675  0.110757  0.372435        0.0          9.820830   \n","17  10.305164  0.103052  0.363450        0.0          6.525154   \n","18   8.712969  0.087130  0.358987        0.0         28.426302   \n","19  10.291240  0.102912  0.354695        0.0         10.696381   \n","20   8.966882  0.089669  0.330098        0.0          3.748455   \n","21   7.076233  0.070762  0.301951        0.0          0.107679   \n","22   5.105511  0.051055  0.273603        0.0          3.295675   \n","23   4.091959  0.040920  0.251653        0.0          0.077670   \n","24  17.879150  0.178791  0.434066        0.0          0.088261   \n","25  17.436885  0.174369  0.431139        0.0          0.092674   \n","26  17.440173  0.174402  0.430284        0.0          0.130627   \n","27  16.895233  0.168952  0.426003        0.0          0.125331   \n","28  16.166238  0.161662  0.419513        0.0          0.187114   \n","29  15.601723  0.156017  0.413256        0.0          0.086496   \n","30  15.209541  0.152095  0.408921        0.0          5.798764   \n","31  15.191022  0.151910  0.406897        0.0          5.778464   \n","32  15.051352  0.150514  0.406201        0.0          0.118270   \n","33  14.449131  0.144491  0.400141        0.0          0.176523   \n","34  13.933704  0.139337  0.396482        0.0          0.218888   \n","35  13.303738  0.133037  0.387096        0.0          0.138570   \n","36  13.565137  0.135651  0.386640        0.0          0.105914   \n","37  13.429876  0.134299  0.386370        0.0          6.238305   \n","38  13.295092  0.132951  0.385120        0.0          0.129744   \n","39  13.108608  0.131086  0.380495        0.0          0.207414   \n","40  12.850538  0.128505  0.378895        0.0          0.290380   \n","41  12.361162  0.123612  0.373341        0.0          0.150044   \n","\n","    total_repetitions       rap  translation_completeness  \\\n","0            0.098853  0.753797                  1.000000   \n","1            0.081200  0.754707                  1.000000   \n","2            0.105031  0.754077                  1.000000   \n","3            0.073257  0.753995                  1.000000   \n","4            0.047661  0.753890                  1.000000   \n","5            0.057370  0.753139                  1.000000   \n","6           12.812886  0.549097                  0.994704   \n","7            7.156222  0.605472                  0.994704   \n","8            0.185349  0.742515                  0.999117   \n","9            0.203001  0.740697                  0.998235   \n","10           0.221536  0.738169                  1.000000   \n","11           0.177405  0.737574                  1.000000   \n","12          12.751103  0.545098                  1.000000   \n","13           9.824360  0.570632                  1.000000   \n","14           6.527802  0.607352                  1.000000   \n","15           6.533981  0.605671                  0.999117   \n","16           9.820830  0.564325                  0.999117   \n","17           6.525154  0.598890                  0.999117   \n","18          28.426302  0.448549                  1.000000   \n","19          10.696381  0.544479                  1.000000   \n","20           3.748455  0.624749                  1.000000   \n","21           0.107679  0.699184                  1.000000   \n","22           3.295675  0.612445                  1.000000   \n","23           0.077670  0.669051                  1.000000   \n","24           0.088261  0.747330                  1.000000   \n","25           0.092674  0.745525                  1.000000   \n","26           0.130627  0.745855                  1.000000   \n","27           0.125331  0.744784                  1.000000   \n","28           0.187114  0.741416                  1.000000   \n","29           0.086496  0.743789                  1.000000   \n","30           5.798764  0.619577                  1.000000   \n","31           5.778464  0.620707                  1.000000   \n","32           0.118270  0.740314                  1.000000   \n","33           0.176523  0.737049                  1.000000   \n","34           0.218888  0.733908                  1.000000   \n","35           0.138570  0.734876                  1.000000   \n","36           0.105914  0.720726                  1.000000   \n","37           6.238305  0.599988                  1.000000   \n","38           0.129744  0.723562                  1.000000   \n","39           0.207414  0.721256                  1.000000   \n","40           0.290380  0.717474                  1.000000   \n","41           0.150044  0.719746                  1.000000   \n","\n","    num_max_output_tokens  \n","0                       0  \n","1                       0  \n","2                       0  \n","3                       0  \n","4                       0  \n","5                       0  \n","6                       2  \n","7                       1  \n","8                       0  \n","9                       0  \n","10                      0  \n","11                      0  \n","12                      2  \n","13                      1  \n","14                      1  \n","15                      1  \n","16                      1  \n","17                      1  \n","18                      6  \n","19                      2  \n","20                      1  \n","21                      0  \n","22                      1  \n","23                      0  \n","24                      0  \n","25                      0  \n","26                      0  \n","27                      0  \n","28                      0  \n","29                      0  \n","30                      1  \n","31                      1  \n","32                      0  \n","33                      0  \n","34                      0  \n","35                      0  \n","36                      0  \n","37                      1  \n","38                      0  \n","39                      0  \n","40                      0  \n","41                      0  "]},"execution_count":9,"metadata":{},"output_type":"execute_result"}],"source":["variant = \"rpp\"\n","metrics_df = get_metrics(df, max_output_tokens=max_new_tokens, variant=variant)\n","metrics_df"]},{"cell_type":"code","execution_count":10,"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'], dtype=object)"]},"execution_count":10,"metadata":{},"output_type":"execute_result"}],"source":["models = metrics_df[\"model\"].unique()\n","models"]},{"cell_type":"code","execution_count":11,"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":12,"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":13,"metadata":{},"outputs":[],"source":["# plot mtr vs rpp\n","import matplotlib.pyplot as plt\n","import matplotlib.ticker as ticker\n","\n","\n","def plot_metrics_vs_rpp(metrics_df, models, markers, columns, titles, log_scales=[False, False], sync_y_axis=False):\n","    fig, ax = plt.subplots(figsize=(10, 6))\n","    # set grid\n","    ax.grid(True)\n","    ax.set_axisbelow(True)\n","    ax.minorticks_on()\n","    ax.grid(which=\"major\", linestyle=\"-\", linewidth=\"0.5\", color=\"red\")\n","\n","    # Create a mapping from original x-values to new, evenly spaced x-values\n","    original_x_values = sorted(metrics_df[variant].unique())\n","    new_x_values = range(len(original_x_values))\n","    x_mapping = dict(zip(original_x_values, new_x_values))\n","\n","    if len(columns) > 1:\n","        twin = ax.twinx()\n","\n","    for model in models:\n","        model_df = metrics_df[metrics_df[\"model\"] == model]\n","        transformed_x = [x_mapping[x] for x in model_df[variant]]\n","        for i, column in enumerate(columns):\n","            current_ax =  twin if i > 0 else ax\n","            current_ax.plot(\n","                transformed_x,\n","                model_df[column],\n","                label=model + f\" [{titles[i]}]\" if titles else \"\",\n","                marker=markers[model],\n","                linestyle=\"--\" if i > 0 else \"-\",\n","            )\n","            current_ax.set_ylabel(titles[i])\n","            if log_scales[i]:\n","                current_ax.set_yscale(\"log\")\n","\n","    if sync_y_axis:\n","        ax.set_ylim(\n","            min(ax.get_ylim()[0], twin.get_ylim()[0]),\n","            max(ax.get_ylim()[1], twin.get_ylim()[1]),\n","        )\n","        twin.set_ylim(ax.get_ylim())\n","\n","    # Set the x-axis ticks to be evenly spaced\n","    ax.xaxis.set_major_locator(ticker.FixedLocator(new_x_values))\n","\n","    # Set custom labels for the ticks\n","    ax.xaxis.set_major_formatter(ticker.FixedFormatter(original_x_values))\n","\n","    # ax.set_ylim(0, 1)\n","    ax.set_xlabel(\"Repetition Penalty Parameter (RPP)\")\n","    handles, labels = ax.get_legend_handles_labels()\n","\n","    if len(columns) > 1:\n","        handles_twin, labels_twin = twin.get_legend_handles_labels()\n","        handles += handles_twin\n","        labels += labels_twin\n","\n","    # Sort the handles and labels by labels\n","    sorted_handles_labels = sorted(zip(labels, handles), key=lambda x: model_orders[x[0].split(\" \")[0]])\n","    sorted_labels, sorted_handles = zip(*sorted_handles_labels)\n","\n","    # Create a combined legend\n","    ax.legend(\n","        sorted_handles,\n","        sorted_labels,\n","        loc=\"lower center\",\n","        bbox_to_anchor=(0.5, -0.75 if len(columns) > 1 else -0.435),\n","    )\n","\n","    plt.show()"]},{"cell_type":"code","execution_count":14,"metadata":{},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1000x600 with 2 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["plot_metrics_vs_rpp(\n","    metrics_df,\n","    models,\n","    markers,\n","    [\"comet\", \"rap\"],\n","    [\"COMET\", \"RAP-COMET\"],\n","    sync_y_axis=True,\n",")"]},{"cell_type":"code","execution_count":20,"metadata":{},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1000x600 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["plot_metrics_vs_rpp(\n","    metrics_df,\n","    models,\n","    markers,\n","    [\"comet\"],\n","    [\"COMET\"],\n",")"]},{"cell_type":"code","execution_count":21,"metadata":{},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1000x600 with 2 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["plot_metrics_vs_rpp(\n","    metrics_df,\n","    models,\n","    markers,\n","    [\"comet\", \"meteor\"],\n","    [\"COMET\", \"METEOR\"],\n",")"]},{"cell_type":"code","execution_count":22,"metadata":{},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1000x600 with 2 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["plot_metrics_vs_rpp(\n","    metrics_df,\n","    models,\n","    markers,\n","    [\"comet\", \"total_repetitions\"],\n","    [\"COMET\", \"Mean Total Repetitions\"],\n",")"]},{"cell_type":"code","execution_count":23,"metadata":{},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1000x600 with 2 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["plot_metrics_vs_rpp(\n","    metrics_df,\n","    models,\n","    markers,\n","    [\"num_max_output_tokens\", \"total_repetitions\"],\n","    [\"Number of Answers with Max Output Tokens\", \"Mean Total Repetitions\"],\n",")"]},{"cell_type":"code","execution_count":24,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["### Analyzing: Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.00\n","*** Found 0 rows with total_repetitions > 50 for Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.00\n","\n","*** Found 0 rows with output_tokens >= 2048 for Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.00\n","\n","*** Found 0 rows with incomplete translations for Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.00\n","### Analyzing: Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.02\n","*** Found 0 rows with total_repetitions > 50 for Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.02\n","\n","*** Found 0 rows with output_tokens >= 2048 for Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.02\n","\n","*** Found 0 rows with incomplete translations for Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.02\n","### Analyzing: Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.04\n","*** Found 0 rows with total_repetitions > 50 for Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.04\n","\n","*** Found 0 rows with output_tokens >= 2048 for Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.04\n","\n","*** Found 0 rows with incomplete translations for Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.04\n","### Analyzing: Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.06\n","*** Found 0 rows with total_repetitions > 50 for Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.06\n","\n","*** Found 0 rows with output_tokens >= 2048 for Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.06\n","\n","*** Found 0 rows with incomplete translations for Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.06\n","### Analyzing: Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.08\n","*** Found 0 rows with total_repetitions > 50 for Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.08\n","\n","*** Found 0 rows with output_tokens >= 2048 for Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.08\n","\n","*** Found 0 rows with incomplete translations for Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.08\n","### Analyzing: Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.10\n","*** Found 0 rows with total_repetitions > 50 for Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.10\n","\n","*** Found 0 rows with output_tokens >= 2048 for Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.10\n","\n","*** Found 0 rows with incomplete translations for Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.10\n","### Analyzing: Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00\n","*** Found 3 rows with total_repetitions > 50 for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00\n","钱老板道：“正是。 沐王府小公爷的嫡亲妹子。\n","================================================================================\n","'Young Lord Mu's little sister,' said Butcher Qian.\n","================================================================================\n","'Yes,' said Butcher Qian, 'it's the real thing. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. 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It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right.\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(46, 7920), match=\". It's the real thing all right. It's the real th>\n","Group 1 found at 46-3983: `. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right`\n","Group 2 found at 3983-7920: `. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right`\n","Group 3 found at 3983-7920: `. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right`\n","(0, 7874, 7874)\n","短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n","================================================================================\n","short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n","================================================================================\n","Short, long, long, long, short, long, long, long, short, short, short, short, long, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, long, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, long, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, long, 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, 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, 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, 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, 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, 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, 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, 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, 72), match='hort, short, short, s'>\n","Group 1 found at 51-58: `hort, s`\n","Group 2 found at 65-72: `hort, s`\n","Group 3 found at 65-72: `hort, s`\n","<re.Match object; span=(72, 536), match='hort, long, long, long, long, short, short, short>\n","Group 1 found at 72-304: `hort, long, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, long, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, s`\n","Group 2 found at 304-536: `hort, long, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, long, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, s`\n","Group 3 found at 304-536: `hort, long, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, long, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, s`\n","<re.Match object; span=(536, 6620), match='hort, short, long, long, long, short, short, shor>\n","Group 1 found at 536-3578: `hort, 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, 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, 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, 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, s`\n","Group 2 found at 3578-6620: `hort, 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, 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, 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, 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, s`\n","Group 3 found at 3578-6620: `hort, 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, 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, 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, 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, s`\n","<re.Match object; span=(6631, 6649), match=', long, long, long'>\n","Group 1 found at 6631-6637: `, long`\n","Group 2 found at 6643-6649: `, long`\n","Group 3 found at 6643-6649: `, long`\n","(0, 6637, 6637)\n","老头子跪在地上，哀求道：“八路老爷饶命，八路老爷饶命……”\n","================================================================================\n","He rose to his knees and begged, 'Spare me, Eighth Route Master, spare me!'\n","================================================================================\n","The old man knelt on the ground, imploringly: 'Please, Eighth Route Army, don't kill me! Please, Eighth Route Army, don't kill me!'\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(47, 130), match=\"Please, Eighth Route Army, don't kill me! Please,>\n","Group 1 found at 47-88: `Please, Eighth Route Army, don't kill me!`\n","Group 2 found at 89-130: `Please, Eighth Route Army, don't kill me!`\n","Group 3 found at 89-130: `Please, Eighth Route Army, don't kill me!`\n","(0, 83, 83)\n","\n","*** Found 2 rows with output_tokens >= 2048 for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00\n","--------------------------------------------------\n","chinese: 钱老板道：“正是。 沐王府小公爷的嫡亲妹子。\n","--------------------------------------------------\n","english: 'Young Lord Mu's little sister,' said Butcher Qian.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00: 'Yes,' said Butcher Qian, 'it's the real thing. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right.\n","--------------------------------------------------\n","output_tokens-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00: 2048\n","--------------------------------------------------\n","chinese: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n","--------------------------------------------------\n","english: short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00: Short, long, long, long, short, long, long, long, short, short, short, short, long, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, long, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, long, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, long, 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, 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, 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, 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, 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, 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, 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, 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-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00: 2048\n","\n","*** Found 6 rows with incomplete translations for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00\n","--------------------------------------------------\n","chinese: 韦小宝脸皮再厚，也知自己的武功实在太不高明，说道：“老乌龟教我的都是假功夫。\n","--------------------------------------------------\n","english: However immune to self-criticism Trinket might be, he knew that what he liked to call his Martial Arts training was really a joke. 'The Old Devil only pretended to teach me,' he said.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00: Trinket knew that his own武功实在不高明, and that Old Devil Trinket had taught him nothing but fake kungfu.\n","--------------------------------------------------\n","count_chinese_characters-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00: 1\n","--------------------------------------------------\n","chinese: 薛蟠连忙打恭作揖赔不是，又求：“别难为了小子，都是我央及他去的。”\n","--------------------------------------------------\n","english: Xue Pan was by this time being apologetic — bowing repeatedly and pumping his hands to show how sorry he was: 'Don't blame the lad!' he said. 'It wasn't his fault. I talked him into it.'\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00: Xue Pan hurriedly made a low bow and a respectful揖, and apologized profusely. 'Don't be too hard on the poor boy. It was all my doing.'\n","--------------------------------------------------\n","count_chinese_characters-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00: 1\n","--------------------------------------------------\n","chinese: 这阴沉气有时是东西厢房的薰衣草气味，有时是樟脑丸气味，还有时是肉砧板上的气味。\n","--------------------------------------------------\n","english: This murky air sometimes smells like lavender in a bedroom, sometimes like mothballs, and at other times like a kitchen chopping block.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00: This gloomy air sometimes smelled like lavender in the east and west wings, sometimes like樟脑 balls, and sometimes like the meat cleaver.\n","--------------------------------------------------\n","count_chinese_characters-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00: 1\n","--------------------------------------------------\n","chinese: 在我看来，义气就是江湖好汉中那种伟大友谊。\n","--------------------------------------------------\n","english: In my opinion, brotherhood was the kind of great friendship that only existed among the outlaws of the forest.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00: To me, loyalty is the great friendship among the heroes of the江湖.\n","--------------------------------------------------\n","count_chinese_characters-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00: 1\n","--------------------------------------------------\n","chinese: 俗语说的：‘千里搭长棚——没有个不散的筵席。’\n","--------------------------------------------------\n","english: 'You know what they said about the mile-wide marquee: 'Even the longest party must have an end'?\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00: The saying goes: 'Even a long tent搭ed up for a thousand miles will not last forever.'\n","--------------------------------------------------\n","count_chinese_characters-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00: 1\n","--------------------------------------------------\n","chinese: 轿夫抬轿从街上走，迈���都是八字步，号称“踩街”，这一方面是为讨主家欢喜，多得些赏钱； 另一方面，是为了显示一种优雅的职业风度。\n","--------------------------------------------------\n","english: As the bearers carried their load down the path, their feet left a series of V imprints known as 'tramples' in the dirt, for which satisfied clients usually rewarded them, and which fortified the bearers' pride of profession.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00: The bearers walked in a八字 step, which they called 'walking the street.' This was partly to please the master of the wedding and get more money, and partly to show off their elegant professional style.\n","--------------------------------------------------\n","count_chinese_characters-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00: 1\n","### Analyzing: Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02\n","*** Found 2 rows with total_repetitions > 50 for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02\n","钱老板道：“正是。 沐王府小公爷的嫡亲妹子。\n","================================================================================\n","'Young Lord Mu's little sister,' said Butcher Qian.\n","================================================================================\n","'Yes,' said Butcher Qian, 'it's the real thing. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right.\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(46, 7920), match=\". It's the real thing all right. It's the real th>\n","Group 1 found at 46-3983: `. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right`\n","Group 2 found at 3983-7920: `. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right`\n","Group 3 found at 3983-7920: `. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right`\n","(0, 7874, 7874)\n","老头子跪在地上，哀求道：“八路老爷饶命，八路老爷饶命……”\n","================================================================================\n","He rose to his knees and begged, 'Spare me, Eighth Route Master, spare me!'\n","================================================================================\n","The old man knelt on the ground and begged for mercy: 'Eight Road gentleman, please spare my life! Eight Road gentleman, please spare my life!'\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(55, 142), match='Eight Road gentleman, please spare my life! Eight>\n","Group 1 found at 55-98: `Eight Road gentleman, please spare my life!`\n","Group 2 found at 99-142: `Eight Road gentleman, please spare my life!`\n","Group 3 found at 99-142: `Eight Road gentleman, please spare my life!`\n","(0, 87, 87)\n","\n","*** Found 1 rows with output_tokens >= 2048 for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02\n","--------------------------------------------------\n","chinese: 钱老板道：“正是。 沐王府小公爷的嫡亲妹子。\n","--------------------------------------------------\n","english: 'Young Lord Mu's little sister,' said Butcher Qian.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02: 'Yes,' said Butcher Qian, 'it's the real thing. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right.\n","--------------------------------------------------\n","output_tokens-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02: 2048\n","\n","*** Found 6 rows with incomplete translations for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02\n","--------------------------------------------------\n","chinese: 韦小宝脸皮再厚，也知自己的武功实在太不高明，说道：“老乌龟教我的都是假功夫。\n","--------------------------------------------------\n","english: However immune to self-criticism Trinket might be, he knew that what he liked to call his Martial Arts training was really a joke. 'The Old Devil only pretended to teach me,' he said.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02: 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","count_chinese_characters-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02: 1\n","--------------------------------------------------\n","chinese: 这阴沉气有时是东西厢房的薰衣草气味，有时是樟脑丸气味，还有时是肉砧板上的气味。\n","--------------------------------------------------\n","english: This murky air sometimes smells like lavender in a bedroom, sometimes like mothballs, and at other times like a kitchen chopping block.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02: This gloomy air sometimes smelled like lavender in the east and west wings, sometimes like樟脑 balls, and sometimes like the meat cleaver.\n","--------------------------------------------------\n","count_chinese_characters-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02: 1\n","--------------------------------------------------\n","chinese: 在我看来，义气就是江湖好汉中那种伟大友谊。\n","--------------------------------------------------\n","english: In my opinion, brotherhood was the kind of great friendship that only existed among the outlaws of the forest.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02: To me, loyalty is the great friendship among the heroes of the江湖.\n","--------------------------------------------------\n","count_chinese_characters-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02: 1\n","--------------------------------------------------\n","chinese: 俗语说的：‘千里搭长棚——没有个不散的筵席。’\n","--------------------------------------------------\n","english: 'You know what they said about the mile-wide marquee: 'Even the longest party must have an end'?\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02: The saying goes: 'Even a long tent搭ed up for a thousand miles must eventually come down.'\n","--------------------------------------------------\n","count_chinese_characters-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02: 1\n","--------------------------------------------------\n","chinese: 轿夫抬轿从街上走，迈的都是八字步，号称“踩街”，这一方面是为讨主家欢喜，多得些赏钱； 另一方面，是为了显示一种优雅的职业风度。\n","--------------------------------------------------\n","english: As the bearers carried their load down the path, their feet left a series of V imprints known as 'tramples' in the dirt, for which satisfied clients usually rewarded them, and which fortified the bearers' pride of profession.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02: The bearers walked in a八字 step, which they called 'walking the street.' This was partly to please their patrons and earn more money, and partly to show off their elegant professional deportment.\n","--------------------------------------------------\n","count_chinese_characters-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02: 1\n","--------------------------------------------------\n","chinese: 因见上面大旨不过谈情，亦只是实录其事，绝无伤时诲淫之病，方从头至尾抄写回来，闻世传奇。\n","--------------------------------------------------\n","english: He could see that its main theme was love; that it consisted quite simply of a true record of real events; and that it was entirely free from any tendency to deprave and corrupt. He therefore copied it all out from beginning to end and took it back with him to look for a publisher.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02: He found that the whole book was concerned with love and romance, and that it was written in a straightforward, unadorned style, without a hint of诲淫. He therefore copied out the whole thing, and it was published as a popular romance.\n","--------------------------------------------------\n","count_chinese_characters-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02: 1\n","### Analyzing: Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.04\n","*** Found 1 rows with total_repetitions > 50 for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.04\n","老头子跪在地上，哀求道：“八路老爷饶命，八路老爷饶命……”\n","================================================================================\n","He rose to his knees and begged, 'Spare me, Eighth Route Master, spare me!'\n","================================================================================\n","The old man knelt on the ground and begged for mercy: 'Eight Road gentleman, please spare my life! Eight Road gentleman, please spare my life!'\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(55, 142), match='Eight Road gentleman, please spare my life! Eight>\n","Group 1 found at 55-98: `Eight Road gentleman, please spare my life!`\n","Group 2 found at 99-142: `Eight Road gentleman, please spare my life!`\n","Group 3 found at 99-142: `Eight Road gentleman, please spare my life!`\n","(0, 87, 87)\n","\n","*** Found 0 rows with output_tokens >= 2048 for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.04\n","\n","*** Found 1 rows with incomplete translations for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.04\n","--------------------------------------------------\n","chinese: 轿夫抬轿从街上走，迈的都是八字步，号称“踩街”，这一方面是为讨主家欢喜，多得些赏钱； 另一方面，是为了显示一种优雅的职业风度。\n","--------------------------------------------------\n","english: As the bearers carried their load down the path, their feet left a series of V imprints known as 'tramples' in the dirt, for which satisfied clients usually rewarded them, and which fortified the bearers' pride of profession.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.04: The bearers walked in a八字 step, which they called 'walking the street.' This was partly to please their patrons and earn more money, but also to show off their elegant professional style.\n","--------------------------------------------------\n","count_chinese_characters-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.04: 1\n","### Analyzing: Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.06\n","*** Found 1 rows with total_repetitions > 50 for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.06\n","老头子跪在地上，哀求道：“八路老爷饶命，八路老爷饶命……”\n","================================================================================\n","He rose to his knees and begged, 'Spare me, Eighth Route Master, spare me!'\n","================================================================================\n","The old man knelt on the ground and begged for mercy: 'Eight Road gentleman, please spare my life! Eight Road gentleman, please spare my life!'\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(55, 142), match='Eight Road gentleman, please spare my life! Eight>\n","Group 1 found at 55-98: `Eight Road gentleman, please spare my life!`\n","Group 2 found at 99-142: `Eight Road gentleman, please spare my life!`\n","Group 3 found at 99-142: `Eight Road gentleman, please spare my life!`\n","(0, 87, 87)\n","\n","*** Found 0 rows with output_tokens >= 2048 for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.06\n","\n","*** Found 2 rows with incomplete translations for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.06\n","--------------------------------------------------\n","chinese: 俗语说的：‘千里搭长棚——没有个不散的筵席。’\n","--------------------------------------------------\n","english: 'You know what they said about the mile-wide marquee: 'Even the longest party must have an end'?\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.06: The saying goes: 'Even a long tent搭ed up for a thousand miles must eventually come down.'\n","--------------------------------------------------\n","count_chinese_characters-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.06: 1\n","--------------------------------------------------\n","chinese: 轿夫抬轿从街上走，迈的都是八字步，号称“踩街”，这一方面是为讨主家欢喜，多得些赏钱； 另一方面，是为了显示一种优雅的职业风度。\n","--------------------------------------------------\n","english: As the bearers carried their load down the path, their feet left a series of V imprints known as 'tramples' in the dirt, for which satisfied clients usually rewarded them, and which fortified the bearers' pride of profession.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.06: The bearers walked in a八字 step called 'footing the street,' which was both for the benefit of their masters and to show off their professional elegance.\n","--------------------------------------------------\n","count_chinese_characters-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.06: 1\n","### Analyzing: Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.08\n","*** Found 2 rows with total_repetitions > 50 for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.08\n","他的派对渐渐地有了名声，一传十，十传百的，来的人呢，也是一带十，十带百，他全是欢迎。\n","================================================================================\n","Gradually, his parties started to gain some notoriety: word traveled fast, as one guest brought ten friends and each of them brought along others—but he didn't mind, everyone was welcome.\n","================================================================================\n","His parties became famous and word of mouth spread quickly. People came in groups of ten, who brought another ten, who brought another hundred. He welcomed them all with open arms.\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(84, 135), match=' ten, who brought another ten, who brought anothe>\n","Group 1 found at 84-109: ` ten, who brought another`\n","Group 2 found at 109-135: ` ten, who brought another `\n","Group 3 found at 109-134: ` ten, who brought another`\n","(0, 51, 51)\n","老头子跪在地上，哀求道：“八路老爷饶命，八路老爷饶命……”\n","================================================================================\n","He rose to his knees and begged, 'Spare me, Eighth Route Master, spare me!'\n","================================================================================\n","The old man knelt on the ground and begged for mercy: 'Eight Road gentleman, please spare my life! Eight Road gentleman, please spare my life!'\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(55, 142), match='Eight Road gentleman, please spare my life! Eight>\n","Group 1 found at 55-98: `Eight Road gentleman, please spare my life!`\n","Group 2 found at 99-142: `Eight Road gentleman, please spare my life!`\n","Group 3 found at 99-142: `Eight Road gentleman, please spare my life!`\n","(0, 87, 87)\n","\n","*** Found 0 rows with output_tokens >= 2048 for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.08\n","\n","*** Found 0 rows with incomplete translations for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.08\n","### Analyzing: Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.10\n","*** Found 1 rows with total_repetitions > 50 for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.10\n","老头子跪在地上，哀求道：“八路老爷饶命，八路老爷饶命……”\n","================================================================================\n","He rose to his knees and begged, 'Spare me, Eighth Route Master, spare me!'\n","================================================================================\n","The old man knelt on the ground and begged for mercy: 'Eight Road gentleman, please spare my life! Eight Road gentleman, please spare my life!'\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(55, 142), match='Eight Road gentleman, please spare my life! Eight>\n","Group 1 found at 55-98: `Eight Road gentleman, please spare my life!`\n","Group 2 found at 99-142: `Eight Road gentleman, please spare my life!`\n","Group 3 found at 99-142: `Eight Road gentleman, please spare my life!`\n","(0, 87, 87)\n","\n","*** Found 0 rows with output_tokens >= 2048 for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.10\n","\n","*** Found 0 rows with incomplete translations for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.10\n","### Analyzing: internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00\n","*** Found 2 rows with total_repetitions > 50 for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00\n","短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n","================================================================================\n","short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n","================================================================================\n","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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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,\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, 6388), match=', long, long, long, short, long, long, long, shor>\n","Group 1 found at 238-3313: `, 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, 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, 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, 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, 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`\n","Group 2 found at 3313-6388: `, 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, 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, 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, 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, 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`\n","Group 3 found at 3313-6388: `, 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, 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, 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, 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, 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`\n","<re.Match object; span=(6388, 6400), match=', long, long'>\n","Group 1 found at 6388-6394: `, long`\n","Group 2 found at 6394-6400: `, long`\n","Group 3 found at 6394-6400: `, long`\n","(0, 6388, 6388)\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 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 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 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 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 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 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 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 your own. You ought to spare my face for the sake of your own. You ought to\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(167, 8329), match='. You ought to spare my face for the sake of your>\n","Group 1 found at 167-4248: `. 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 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 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 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 your own`\n","Group 2 found at 4248-8329: `. 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 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 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 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 your own`\n","Group 3 found at 4248-8329: `. 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 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 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 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 your own`\n","(0, 8162, 8162)\n","\n","*** Found 2 rows with output_tokens >= 2048 for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00\n","--------------------------------------------------\n","chinese: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n","--------------------------------------------------\n","english: short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n","--------------------------------------------------\n","internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00: Short, long, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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,\n","--------------------------------------------------\n","output_tokens-internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00: 2049\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/checkpoint-140/rpp-1.00: 'You ought to spare my face for the sake of the Buddha's. You ought to spare my face for the sake of the fish. You ought to spare my face for the sake of the bean-girl. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of 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 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 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 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. 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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 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 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\n","--------------------------------------------------\n","output_tokens-internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00: 2049\n","\n","*** Found 0 rows with incomplete translations for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00\n","### Analyzing: internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.02\n","*** Found 1 rows with total_repetitions > 50 for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.02\n","短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n","================================================================================\n","short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n","================================================================================\n","Short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(1, 11243), match='hort long short long short long short long short >\n","Group 1 found at 1-5622: `hort long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long s`\n","Group 2 found at 5622-11243: `hort long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long s`\n","Group 3 found at 5622-11243: `hort long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long s`\n","(0, 11242, 11242)\n","\n","*** Found 1 rows with output_tokens >= 2048 for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.02\n","--------------------------------------------------\n","chinese: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n","--------------------------------------------------\n","english: short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n","--------------------------------------------------\n","internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.02: Short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long\n","--------------------------------------------------\n","output_tokens-internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.02: 2049\n","\n","*** Found 0 rows with incomplete translations for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.02\n","### Analyzing: internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.04\n","*** Found 1 rows with total_repetitions > 50 for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.04\n","短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n","================================================================================\n","short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n","================================================================================\n","Long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-sh\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(1, 7503), match='ong-short-long-short-long-short-long-short-long-s>\n","Group 1 found at 1-3752: `ong-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-l`\n","Group 2 found at 3752-7503: `ong-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-l`\n","Group 3 found at 3752-7503: `ong-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-l`\n","(0, 7502, 7502)\n","\n","*** Found 1 rows with output_tokens >= 2048 for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.04\n","--------------------------------------------------\n","chinese: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n","--------------------------------------------------\n","english: short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n","--------------------------------------------------\n","internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.04: Long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-sh\n","--------------------------------------------------\n","output_tokens-internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.04: 2049\n","\n","*** Found 0 rows with incomplete translations for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.04\n","### Analyzing: internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06\n","*** Found 1 rows with total_repetitions > 50 for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06\n","短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n","================================================================================\n","short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n","================================================================================\n","Long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-sh\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(1, 7503), match='ong-short-long-short-long-short-long-short-long-s>\n","Group 1 found at 1-3752: `ong-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-l`\n","Group 2 found at 3752-7503: `ong-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-l`\n","Group 3 found at 3752-7503: `ong-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-l`\n","(0, 7502, 7502)\n","\n","*** Found 1 rows with output_tokens >= 2048 for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06\n","--------------------------------------------------\n","chinese: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n","--------------------------------------------------\n","english: short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n","--------------------------------------------------\n","internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06: Long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-sh\n","--------------------------------------------------\n","output_tokens-internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06: 2049\n","\n","*** Found 1 rows with incomplete translations for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06\n","--------------------------------------------------\n","chinese: 左首一人又高又瘦，面目黝黑，姓顾名炎武，字亭林，江苏昆山人士。\n","--------------------------------------------------\n","english: The other one, a tall, thin man with a swarthy complexion, was Gu Yanwu, a native of Kunshan in Jiangsu Province.\n","--------------------------------------------------\n","internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06: One of them was tall and thin, with dark features; his name was Gu Yanwu (characters: 顾炎武), and his courtesy name was Tinglin. He came from Kunshan in Jiangsu Province.\n","--------------------------------------------------\n","count_chinese_characters-internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06: 1\n","### Analyzing: internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.08\n","*** Found 1 rows with total_repetitions > 50 for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.08\n","短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n","================================================================================\n","short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n","================================================================================\n","Short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(1, 11243), match='hort long short long short long short long short >\n","Group 1 found at 1-5622: `hort long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long s`\n","Group 2 found at 5622-11243: `hort long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long s`\n","Group 3 found at 5622-11243: `hort long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long s`\n","(0, 11242, 11242)\n","\n","*** Found 1 rows with output_tokens >= 2048 for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.08\n","--------------------------------------------------\n","chinese: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n","--------------------------------------------------\n","english: short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n","--------------------------------------------------\n","internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.08: Short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long\n","--------------------------------------------------\n","output_tokens-internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.08: 2049\n","\n","*** Found 1 rows with incomplete translations for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.08\n","--------------------------------------------------\n","chinese: 左首一人又高又瘦，面目黝黑，姓顾名炎武，字亭林，江苏昆山人士。\n","--------------------------------------------------\n","english: The other one, a tall, thin man with a swarthy complexion, was Gu Yanwu, a native of Kunshan in Jiangsu Province.\n","--------------------------------------------------\n","internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.08: One of them was tall and thin, with dark features; his name was Gu Yanwu (characters: 顾炎武), but he went by the courtesy names Linting and Shilin. He came from Kunshan in Jiangsu Province.\n","--------------------------------------------------\n","count_chinese_characters-internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.08: 1\n","### Analyzing: internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10\n","*** Found 1 rows with total_repetitions > 50 for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10\n","短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n","================================================================================\n","short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n","================================================================================\n","Long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-sh\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(1, 7503), match='ong-short-long-short-long-short-long-short-long-s>\n","Group 1 found at 1-3752: `ong-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-l`\n","Group 2 found at 3752-7503: `ong-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-l`\n","Group 3 found at 3752-7503: `ong-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-l`\n","(0, 7502, 7502)\n","\n","*** Found 1 rows with output_tokens >= 2048 for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10\n","--------------------------------------------------\n","chinese: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n","--------------------------------------------------\n","english: short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n","--------------------------------------------------\n","internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10: Long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-sh\n","--------------------------------------------------\n","output_tokens-internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10: 2049\n","\n","*** Found 1 rows with incomplete translations for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10\n","--------------------------------------------------\n","chinese: 左首一人又高又瘦，面目黝黑，姓顾名炎武，字亭林，江苏昆山人士。\n","--------------------------------------------------\n","english: The other one, a tall, thin man with a swarthy complexion, was Gu Yanwu, a native of Kunshan in Jiangsu Province.\n","--------------------------------------------------\n","internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10: One of them was tall and thin with dark features; his name was Gu Yanwu (characters: 顾炎武), but he went by the courtesy names Linshan (亭林). He came from Kunshan in Jiangsu Province.\n","--------------------------------------------------\n","count_chinese_characters-internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10: 1\n","### Analyzing: microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.00\n","*** Found 6 rows with total_repetitions > 50 for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.00\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 softened by the words, and he began to feel a little more alive. Then he heard his wife's words, and he laughed. 'Well, if you say so, I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. 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I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow.`\n","(0, 6001, 6001)\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, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, 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, 8161), match='ong and short, long and short, long and short, lo>\n","Group 1 found at 1-4081: `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, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, 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 4081-8161: `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, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, 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 4081-8161: `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, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, 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, 8160, 8160)\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 they lived. She was leaning against a stack of sorghum leaves, holding her husband's arm, and talking to him in a low voice. 'Big Uncle . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(263, 4232), match=' . . . . . . . . . . . . . . . . . . . . . . . . >\n","Group 1 found at 263-2247: ` . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 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. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n","Group 2 found at 2247-4232: ` . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . `\n","Group 3 found at 2247-4231: ` . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n","(0, 3969, 3969)\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 twisted as he said, 'Lady . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 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. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(64, 4121), match=' . . . . . . . . . . . . . . . . . . . . . . . . >\n","Group 1 found at 64-2092: ` . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n","Group 2 found at 2092-4121: ` . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . `\n","Group 3 found at 2092-4120: ` . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n","(0, 4057, 4057)\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, 4119), match=' . . . . . . . . . . . . . . . . . . . . . . . . >\n","Group 1 found at 51-2085: ` . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n","Group 2 found at 2085-4119: ` . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n","Group 3 found at 2085-4119: ` . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n","(0, 4068, 4068)\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'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'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'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'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'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'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'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\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(48, 6096), match=\"You're a very good boy. You're a very good boy. Y>\n","Group 1 found at 48-3072: `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'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'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'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. `\n","Group 2 found at 3072-6096: `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'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'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'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. `\n","Group 3 found at 3072-6096: `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'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'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'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. `\n","(0, 6048, 6048)\n","\n","*** Found 6 rows with output_tokens >= 2048 for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.00\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/checkpoint-210/rpp-1.00: But the dog's heart was softened by the words, and he began to feel a little more alive. Then he heard his wife's words, and he laughed. 'Well, if you say so, I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. 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I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go\n","--------------------------------------------------\n","output_tokens-microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.00: 2048\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/checkpoint-210/rpp-1.00: Long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, 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/checkpoint-210/rpp-1.00: 2048\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/checkpoint-210/rpp-1.00: Father remembered a night about seven or eight years ago when Grandma had gotten drunk in the courtyard of the distillery where they lived. She was leaning against a stack of sorghum leaves, holding her husband's arm, and talking to him in a low voice. 'Big Uncle . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .\n","--------------------------------------------------\n","output_tokens-microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.00: 2048\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/checkpoint-210/rpp-1.00: He heard my great-grandfather's tongue twisted as he said, 'Lady . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .\n","--------------------------------------------------\n","output_tokens-microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.00: 2048\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/checkpoint-210/rpp-1.00: The boy hesitated a moment, then said, 'I am called . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .\n","--------------------------------------------------\n","output_tokens-microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.00: 2048\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/checkpoint-210/rpp-1.00: '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'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'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'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'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'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'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'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\n","--------------------------------------------------\n","output_tokens-microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.00: 2048\n","\n","*** Found 0 rows with incomplete translations for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.00\n","### Analyzing: microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.02\n","*** Found 3 rows with total_repetitions > 50 for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.02\n","“有…… 没有…… 有…… 没有……\n","================================================================================\n","'Yes . . . no . . . yes . . . no . . .\n","================================================================================\n","'There's one... and there isn't one... There's one... and there isn't one...\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(1, 76), match=\"There's one... and there isn't one... There's one>\n","Group 1 found at 1-38: `There's one... and there isn't one...`\n","Group 2 found at 39-76: `There's one... and there isn't one...`\n","Group 3 found at 39-76: `There's one... and there isn't one...`\n","(0, 75, 75)\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, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, 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, 8161), match='ong and short, long and short, long and short, lo>\n","Group 1 found at 1-4081: `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, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, 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 4081-8161: `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, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, 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 4081-8161: `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, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, 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, 8160, 8160)\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 twisted as he said, 'Little girl... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(73, 4128), match='. . . . . . . . . . . . . . . . . . . . . . . . .>\n","Group 1 found at 73-2100: `. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n","Group 2 found at 2101-4128: `. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n","Group 3 found at 2101-4128: `. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n","(0, 4055, 4055)\n","\n","*** Found 2 rows with output_tokens >= 2048 for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.02\n","--------------------------------------------------\n","chinese: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n","--------------------------------------------------\n","english: short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n","--------------------------------------------------\n","microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.02: Long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, 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/checkpoint-210/rpp-1.02: 2048\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/checkpoint-210/rpp-1.02: He heard my great-grandfather's tongue twisted as he said, 'Little girl... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .\n","--------------------------------------------------\n","output_tokens-microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.02: 2048\n","\n","*** Found 0 rows with incomplete translations for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.02\n","### Analyzing: microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.04\n","*** Found 2 rows with total_repetitions > 50 for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.04\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 twistingly say, 'Miss . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(60, 4121), match=' . . . . . . . . . . . . . . . . . . . . . . . . >\n","Group 1 found at 60-2090: ` . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n","Group 2 found at 2090-4121: ` . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . `\n","Group 3 found at 2090-4120: ` . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n","(0, 4061, 4061)\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 mercy with his tears: 'Eight-Path Old Devil . . . Eight-Path Old Devil . . .'\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(61, 114), match='Eight-Path Old Devil . . . Eight-Path Old Devil .>\n","Group 1 found at 61-87: `Eight-Path Old Devil . . .`\n","Group 2 found at 88-114: `Eight-Path Old Devil . . .`\n","Group 3 found at 88-114: `Eight-Path Old Devil . . .`\n","(0, 53, 53)\n","\n","*** Found 1 rows with output_tokens >= 2048 for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.04\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/checkpoint-210/rpp-1.04: He heard my great-grandfather's tongue twistingly say, 'Miss . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .\n","--------------------------------------------------\n","output_tokens-microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.04: 2048\n","\n","*** Found 0 rows with incomplete translations for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.04\n","### Analyzing: microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.06\n","*** Found 1 rows with total_repetitions > 50 for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.06\n","老头子跪在地上，哀求道：“八路老爷饶命，八路老爷饶命……”\n","================================================================================\n","He rose to his knees and begged, 'Spare me, Eighth Route Master, spare me!'\n","================================================================================\n","The old man knelt on his knees and begged for mercy with tears in his eyes: 'Eight-Path Old Devil . . . Eight-Path Old Devil . . .'\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(77, 130), match='Eight-Path Old Devil . . . Eight-Path Old Devil .>\n","Group 1 found at 77-103: `Eight-Path Old Devil . . .`\n","Group 2 found at 104-130: `Eight-Path Old Devil . . .`\n","Group 3 found at 104-130: `Eight-Path Old Devil . . .`\n","(0, 53, 53)\n","\n","*** Found 0 rows with output_tokens >= 2048 for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.06\n","\n","*** Found 0 rows with incomplete translations for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.06\n","### Analyzing: microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.08\n","*** Found 1 rows with total_repetitions > 50 for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.08\n","7. 开麦拉\n","================================================================================\n","Camera\n","================================================================================\n","The opening scene of Casablanca takes place in Rick's Café Américain on Place de la Gare (the train station) at nightfall and just after midnight. It begins with Sam playing his accordion for customers who have come from all over Morocco looking for work during World War II; among them we see Ilsa Lund sitting alone by herself drinking coffee while waiting for her husband Victor Laszlo—who has been arrested because he was helping Allied forces fight against Germany. As she waits, Ilsa remembers how they met years ago when their paths crossed again later than usual one day due to bad weather conditions preventing planes from landing safely. She had fallen deeply in love with him but never told anyone until now since there were no other options left except marrying someone else so she could stay close enough to help save Europe without putting too much risk into doing something illegal like smuggling people out through this café! Her thoughts then turn back towards Ricks Cafe where things seem very different tonight compared what happened yesterday evening before everyone went home... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(1098, 4745), match='. . . . . . . . . . . . . . . . . . . . . . . . .>\n","Group 1 found at 1098-2921: `. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n","Group 2 found at 2922-4745: `. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n","Group 3 found at 2922-4745: `. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n","(0, 3647, 3647)\n","\n","*** Found 1 rows with output_tokens >= 2048 for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.08\n","--------------------------------------------------\n","chinese: 7. 开麦拉\n","--------------------------------------------------\n","english: Camera\n","--------------------------------------------------\n","microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.08: The opening scene of Casablanca takes place in Rick's Café Américain on Place de la Gare (the train station) at nightfall and just after midnight. It begins with Sam playing his accordion for customers who have come from all over Morocco looking for work during World War II; among them we see Ilsa Lund sitting alone by herself drinking coffee while waiting for her husband Victor Laszlo—who has been arrested because he was helping Allied forces fight against Germany. As she waits, Ilsa remembers how they met years ago when their paths crossed again later than usual one day due to bad weather conditions preventing planes from landing safely. She had fallen deeply in love with him but never told anyone until now since there were no other options left except marrying someone else so she could stay close enough to help save Europe without putting too much risk into doing something illegal like smuggling people out through this café! Her thoughts then turn back towards Ricks Cafe where things seem very different tonight compared what happened yesterday evening before everyone went home... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .\n","--------------------------------------------------\n","output_tokens-microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.08: 2048\n","\n","*** Found 0 rows with incomplete translations for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.08\n","### Analyzing: microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.10\n","*** Found 0 rows with total_repetitions > 50 for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.10\n","\n","*** Found 0 rows with output_tokens >= 2048 for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.10\n","\n","*** Found 0 rows with incomplete translations for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.10\n","### Analyzing: shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00\n","*** Found 0 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00\n","\n","*** Found 0 rows with output_tokens >= 2048 for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00\n","\n","*** Found 0 rows with incomplete translations for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00\n","### Analyzing: shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.02\n","*** Found 0 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.02\n","\n","*** Found 0 rows with output_tokens >= 2048 for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.02\n","\n","*** Found 0 rows with incomplete translations for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.02\n","### Analyzing: shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.04\n","*** Found 0 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.04\n","\n","*** Found 0 rows with output_tokens >= 2048 for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.04\n","\n","*** Found 0 rows with incomplete translations for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.04\n","### Analyzing: shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.06\n","*** Found 0 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.06\n","\n","*** Found 0 rows with output_tokens >= 2048 for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.06\n","\n","*** Found 0 rows with incomplete translations for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.06\n","### Analyzing: shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.08\n","*** Found 1 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.08\n","老头子跪在地上，哀求道：“八路老爷饶命，八路老爷饶命……”\n","================================================================================\n","He rose to his knees and begged, 'Spare me, Eighth Route Master, spare me!'\n","================================================================================\n","The old man fell to his knees and pleaded for his life, 'Eight Route Army lord, spare me... Eight Route Army lord, spare me...'\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(57, 126), match='Eight Route Army lord, spare me... Eight Route Ar>\n","Group 1 found at 57-91: `Eight Route Army lord, spare me...`\n","Group 2 found at 92-126: `Eight Route Army lord, spare me...`\n","Group 3 found at 92-126: `Eight Route Army lord, spare me...`\n","(0, 69, 69)\n","\n","*** Found 0 rows with output_tokens >= 2048 for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.08\n","\n","*** Found 0 rows with incomplete translations for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.08\n","### Analyzing: shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.10\n","*** Found 0 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.10\n","\n","*** Found 0 rows with output_tokens >= 2048 for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.10\n","\n","*** Found 0 rows with incomplete translations for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.10\n","### Analyzing: shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.00\n","*** Found 2 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.00\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 that my way of speaking had a Yangzhou accent, and that he was afraid... afraid... that he might... that he might... make me go blind this time. Did he know what he was talking about?'\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(70, 91), match=' afraid... afraid... '>\n","Group 1 found at 70-80: ` afraid...`\n","Group 2 found at 80-91: ` afraid... `\n","Group 3 found at 80-90: ` afraid...`\n","<re.Match object; span=(91, 125), match='that he might... that he might... '>\n","Group 1 found at 91-108: `that he might... `\n","Group 2 found at 108-125: `that he might... `\n","Group 3 found at 108-125: `that he might... `\n","(0, 55, 55)\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, 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, 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, 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, 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, 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, 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, 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,\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, 6589), match='hort, short, short, long, long, long, short, shor>\n","Group 1 found at 193-3391: `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, 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, 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, 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, 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, s`\n","Group 2 found at 3391-6589: `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, 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, 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, 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, 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, s`\n","Group 3 found at 3391-6589: `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, 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, 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, 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, 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, s`\n","<re.Match object; span=(6589, 6603), match='hort, short, s'>\n","Group 1 found at 6589-6596: `hort, s`\n","Group 2 found at 6596-6603: `hort, s`\n","Group 3 found at 6596-6603: `hort, s`\n","<re.Match object; span=(6607, 6625), match=', long, long, long'>\n","Group 1 found at 6607-6613: `, long`\n","Group 2 found at 6619-6625: `, long`\n","Group 3 found at 6619-6625: `, long`\n","<re.Match object; span=(6625, 6646), match=', short, short, short'>\n","Group 1 found at 6625-6632: `, short`\n","Group 2 found at 6639-6646: `, short`\n","Group 3 found at 6639-6646: `, short`\n","(0, 6641, 6641)\n","\n","*** Found 1 rows with output_tokens >= 2048 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.00\n","--------------------------------------------------\n","chinese: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n","--------------------------------------------------\n","english: short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n","--------------------------------------------------\n","shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.00: Short, long, long, long, short, long, long, long, short, short, long, long, long, short, short, short, long, long, long, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, 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, 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, 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, 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, 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, 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, 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,\n","--------------------------------------------------\n","output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.00: 2048\n","\n","*** Found 0 rows with incomplete translations for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.00\n","### Analyzing: shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.02\n","*** Found 1 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.02\n","短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n","================================================================================\n","short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n","================================================================================\n","Short, long, long, long, short, long, long, long, short, short, long, long, long, short, short, short, long, long, long, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, 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, 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, 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, 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, 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, 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, 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,\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, 6589), match='hort, short, short, long, long, long, short, shor>\n","Group 1 found at 193-3391: `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, 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, 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, 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, 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, s`\n","Group 2 found at 3391-6589: `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, 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, 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, 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, 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, s`\n","Group 3 found at 3391-6589: `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, 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, 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, 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, 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, s`\n","<re.Match object; span=(6589, 6603), match='hort, short, s'>\n","Group 1 found at 6589-6596: `hort, s`\n","Group 2 found at 6596-6603: `hort, s`\n","Group 3 found at 6596-6603: `hort, s`\n","<re.Match object; span=(6607, 6625), match=', long, long, long'>\n","Group 1 found at 6607-6613: `, long`\n","Group 2 found at 6619-6625: `, long`\n","Group 3 found at 6619-6625: `, long`\n","<re.Match object; span=(6625, 6646), match=', short, short, short'>\n","Group 1 found at 6625-6632: `, short`\n","Group 2 found at 6639-6646: `, short`\n","Group 3 found at 6639-6646: `, short`\n","(0, 6641, 6641)\n","\n","*** Found 1 rows with output_tokens >= 2048 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.02\n","--------------------------------------------------\n","chinese: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n","--------------------------------------------------\n","english: short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n","--------------------------------------------------\n","shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.02: Short, long, long, long, short, long, long, long, short, short, long, long, long, short, short, short, long, long, long, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, 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, 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, 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, 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, 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, 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, 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,\n","--------------------------------------------------\n","output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.02: 2048\n","\n","*** Found 0 rows with incomplete translations for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.02\n","### Analyzing: shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.04\n","*** Found 1 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.04\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 my way of speaking had a Yangzhou accent. He was afraid... afraid... that he might... that he might... make me go blind this time.'\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(56, 77), match=' afraid... afraid... '>\n","Group 1 found at 56-66: ` afraid...`\n","Group 2 found at 66-77: ` afraid... `\n","Group 3 found at 66-76: ` afraid...`\n","<re.Match object; span=(77, 111), match='that he might... that he might... '>\n","Group 1 found at 77-94: `that he might... `\n","Group 2 found at 94-111: `that he might... `\n","Group 3 found at 94-111: `that he might... `\n","(0, 55, 55)\n","\n","*** Found 0 rows with output_tokens >= 2048 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.04\n","\n","*** Found 0 rows with incomplete translations for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.04\n","### Analyzing: shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.06\n","*** Found 1 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.06\n","老头子跪在地上，哀求道：“八路老爷饶命，八路老爷饶命……”\n","================================================================================\n","He rose to his knees and begged, 'Spare me, Eighth Route Master, spare me!'\n","================================================================================\n","The old man knelt on the ground and begged for mercy: 'Lords of the Eighth Route Army, have mercy! Lords of the Eighth Route Army, have mercy!'\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(55, 142), match='Lords of the Eighth Route Army, have mercy! Lords>\n","Group 1 found at 55-98: `Lords of the Eighth Route Army, have mercy!`\n","Group 2 found at 99-142: `Lords of the Eighth Route Army, have mercy!`\n","Group 3 found at 99-142: `Lords of the Eighth Route Army, have mercy!`\n","(0, 87, 87)\n","\n","*** Found 0 rows with output_tokens >= 2048 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.06\n","\n","*** Found 0 rows with incomplete translations for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.06\n","### Analyzing: shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.08\n","*** Found 1 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.08\n","老头子跪在地上，哀求道：“八路老爷饶命，八路老爷饶命……”\n","================================================================================\n","He rose to his knees and begged, 'Spare me, Eighth Route Master, spare me!'\n","================================================================================\n","The old man knelt on the ground and begged for mercy: 'Lords of the Eighth Route Army, have pity! Lords of the Eighth Route Army, have pity!'\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(55, 140), match='Lords of the Eighth Route Army, have pity! Lords >\n","Group 1 found at 55-97: `Lords of the Eighth Route Army, have pity!`\n","Group 2 found at 98-140: `Lords of the Eighth Route Army, have pity!`\n","Group 3 found at 98-140: `Lords of the Eighth Route Army, have pity!`\n","(0, 85, 85)\n","\n","*** Found 0 rows with output_tokens >= 2048 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.08\n","\n","*** Found 0 rows with incomplete translations for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.08\n","### Analyzing: shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.10\n","*** Found 0 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.10\n","\n","*** Found 0 rows with output_tokens >= 2048 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.10\n","\n","*** Found 0 rows with incomplete translations for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.10\n","### Analyzing: shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.00\n","*** Found 0 rows with total_repetitions > 50 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.00\n","\n","*** Found 0 rows with output_tokens >= 2048 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.00\n","\n","*** Found 0 rows with incomplete translations for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.00\n","### Analyzing: shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.02\n","*** Found 1 rows with total_repetitions > 50 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.02\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, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(2, 6938), match='he sky is blue, the sky is blue, the sky is blue,>\n","Group 1 found at 2-3470: `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, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, 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 3470-6938: `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, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, 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 3470-6938: `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, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, 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, 6936, 6936)\n","\n","*** Found 1 rows with output_tokens >= 2048 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.02\n","--------------------------------------------------\n","chinese: 青天哟——蓝天哟——花花绿绿的天哟——棒槌哟亲哥哟你死了——可就塌了妹妹的天哟——\n","--------------------------------------------------\n","english: A blue sky yo – a sapphire sky yo – a painted sky yo – a mighty cudgel yo – dear elder brother yo – death has claimed you – you have brought down little sister's sky yo –.\n","--------------------------------------------------\n","shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.02: '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, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky\n","--------------------------------------------------\n","output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.02: 2049\n","\n","*** Found 0 rows with incomplete translations for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.02\n","### Analyzing: shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.04\n","*** Found 0 rows with total_repetitions > 50 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.04\n","\n","*** Found 0 rows with output_tokens >= 2048 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.04\n","\n","*** Found 0 rows with incomplete translations for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.04\n","### Analyzing: shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.06\n","*** Found 1 rows with total_repetitions > 50 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.06\n","老头子跪在地上，哀求道：“八路老爷饶命，八路老爷饶命……”\n","================================================================================\n","He rose to his knees and begged, 'Spare me, Eighth Route Master, spare me!'\n","================================================================================\n","The old man knelt on the ground and pleaded for mercy: 'Eight-route sir, spare my life! Eight-route sir, spare my life!'\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(56, 119), match='Eight-route sir, spare my life! Eight-route sir, >\n","Group 1 found at 56-87: `Eight-route sir, spare my life!`\n","Group 2 found at 88-119: `Eight-route sir, spare my life!`\n","Group 3 found at 88-119: `Eight-route sir, spare my life!`\n","(0, 63, 63)\n","\n","*** Found 0 rows with output_tokens >= 2048 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.06\n","\n","*** Found 0 rows with incomplete translations for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.06\n","### Analyzing: shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.08\n","*** Found 2 rows with total_repetitions > 50 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.08\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's blue—the sky's blue—the sky's green—the sky's blue—the sky's blue—the sky's green—the sky's blue—the sky's blue—the sky's green—\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(2, 94), match=\"he sky's blue—the sky's blue—the sky's green—the >\n","Group 1 found at 2-48: `he sky's blue—the sky's blue—the sky's green—t`\n","Group 2 found at 48-94: `he sky's blue—the sky's blue—the sky's green—t`\n","Group 3 found at 48-94: `he sky's blue—the sky's blue—the sky's green—t`\n","<re.Match object; span=(94, 124), match=\"he sky's blue—the sky's blue—t\">\n","Group 1 found at 94-109: `he sky's blue—t`\n","Group 2 found at 109-124: `he sky's blue—t`\n","Group 3 found at 109-124: `he sky's blue—t`\n","(0, 122, 122)\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 mercy: 'Eight-route sir, spare my life! Eight-route sir, spare my life!'\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(56, 119), match='Eight-route sir, spare my life! Eight-route sir, >\n","Group 1 found at 56-87: `Eight-route sir, spare my life!`\n","Group 2 found at 88-119: `Eight-route sir, spare my life!`\n","Group 3 found at 88-119: `Eight-route sir, spare my life!`\n","(0, 63, 63)\n","\n","*** Found 0 rows with output_tokens >= 2048 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.08\n","\n","*** Found 0 rows with incomplete translations for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.08\n","### Analyzing: shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.10\n","*** Found 1 rows with total_repetitions > 50 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.10\n","老头子跪在地上，哀求道：“八路老爷饶命，八路老爷饶命……”\n","================================================================================\n","He rose to his knees and begged, 'Spare me, Eighth Route Master, spare me!'\n","================================================================================\n","The old man fell on his knees and pleaded for mercy: 'Eight-route sir, spare my life! Eight-route sir, spare my life!'\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(54, 117), match='Eight-route sir, spare my life! Eight-route sir, >\n","Group 1 found at 54-85: `Eight-route sir, spare my life!`\n","Group 2 found at 86-117: `Eight-route sir, spare my life!`\n","Group 3 found at 86-117: `Eight-route sir, spare my life!`\n","(0, 63, 63)\n","\n","*** Found 0 rows with output_tokens >= 2048 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.10\n","\n","*** Found 0 rows with incomplete translations for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.10\n"]}],"source":["for col in result_columns:\n","    print(f\"### Analyzing: {col}\")\n","    analyze_translation_results(df, col, repetition_threshold=50, max_new_tokens=max_new_tokens)"]},{"cell_type":"code","execution_count":25,"metadata":{},"outputs":[],"source":["metrics_df.to_csv(results_path.replace(\".csv\", \"_metrics.csv\"), index=False)"]},{"cell_type":"code","execution_count":26,"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>comet</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>translation_completeness</th>\n","      <th>num_max_output_tokens</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>42.000000</td>\n","      <td>42.000000</td>\n","      <td>42.000000</td>\n","      <td>42.000000</td>\n","      <td>42.000000</td>\n","      <td>42.0</td>\n","      <td>42.000000</td>\n","      <td>42.000000</td>\n","      <td>42.000000</td>\n","      <td>42.000000</td>\n","      <td>42.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>0.736585</td>\n","      <td>0.418134</td>\n","      <td>13.836401</td>\n","      <td>0.138364</td>\n","      <td>0.393948</td>\n","      <td>0.0</td>\n","      <td>3.324213</td>\n","      <td>3.324213</td>\n","      <td>0.680606</td>\n","      <td>0.999622</td>\n","      <td>0.547619</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>0.018671</td>\n","      <td>0.042615</td>\n","      <td>3.443285</td>\n","      <td>0.034433</td>\n","      <td>0.043012</td>\n","      <td>0.0</td>\n","      <td>5.606206</td>\n","      <td>5.606206</td>\n","      <td>0.081233</td>\n","      <td>0.001172</td>\n","      <td>1.063872</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>0.671299</td>\n","      <td>0.290383</td>\n","      <td>4.091959</td>\n","      <td>0.040920</td>\n","      <td>0.251653</td>\n","      <td>0.0</td>\n","      <td>0.047661</td>\n","      <td>0.047661</td>\n","      <td>0.448549</td>\n","      <td>0.994704</td>\n","      <td>0.000000</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>0.727631</td>\n","      <td>0.402094</td>\n","      <td>12.868566</td>\n","      <td>0.128686</td>\n","      <td>0.381652</td>\n","      <td>0.0</td>\n","      <td>0.106355</td>\n","      <td>0.106355</td>\n","      <td>0.608625</td>\n","      <td>1.000000</td>\n","      <td>0.000000</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>0.742645</td>\n","      <td>0.427084</td>\n","      <td>14.334512</td>\n","      <td>0.143345</td>\n","      <td>0.403171</td>\n","      <td>0.0</td>\n","      <td>0.186231</td>\n","      <td>0.186231</td>\n","      <td>0.722409</td>\n","      <td>1.000000</td>\n","      <td>0.000000</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>0.748180</td>\n","      <td>0.443718</td>\n","      <td>16.025109</td>\n","      <td>0.160251</td>\n","      <td>0.418653</td>\n","      <td>0.0</td>\n","      <td>6.128420</td>\n","      <td>6.128420</td>\n","      <td>0.743471</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>0.757498</td>\n","      <td>0.479684</td>\n","      <td>19.013749</td>\n","      <td>0.190137</td>\n","      <td>0.452094</td>\n","      <td>0.0</td>\n","      <td>28.426302</td>\n","      <td>28.426302</td>\n","      <td>0.754707</td>\n","      <td>1.000000</td>\n","      <td>6.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["           comet     meteor     spbleu     bleu_1    rouge_l  ews_score  \\\n","count  42.000000  42.000000  42.000000  42.000000  42.000000       42.0   \n","mean    0.736585   0.418134  13.836401   0.138364   0.393948        0.0   \n","std     0.018671   0.042615   3.443285   0.034433   0.043012        0.0   \n","min     0.671299   0.290383   4.091959   0.040920   0.251653        0.0   \n","25%     0.727631   0.402094  12.868566   0.128686   0.381652        0.0   \n","50%     0.742645   0.427084  14.334512   0.143345   0.403171        0.0   \n","75%     0.748180   0.443718  16.025109   0.160251   0.418653        0.0   \n","max     0.757498   0.479684  19.013749   0.190137   0.452094        0.0   \n","\n","       repetition_score  total_repetitions        rap  \\\n","count         42.000000          42.000000  42.000000   \n","mean           3.324213           3.324213   0.680606   \n","std            5.606206           5.606206   0.081233   \n","min            0.047661           0.047661   0.448549   \n","25%            0.106355           0.106355   0.608625   \n","50%            0.186231           0.186231   0.722409   \n","75%            6.128420           6.128420   0.743471   \n","max           28.426302          28.426302   0.754707   \n","\n","       translation_completeness  num_max_output_tokens  \n","count                 42.000000              42.000000  \n","mean                   0.999622               0.547619  \n","std                    0.001172               1.063872  \n","min                    0.994704               0.000000  \n","25%                    1.000000               0.000000  \n","50%                    1.000000               0.000000  \n","75%                    1.000000               1.000000  \n","max                    1.000000               6.000000  "]},"execution_count":26,"metadata":{},"output_type":"execute_result"}],"source":["metrics_df.describe()"]}],"metadata":{"accelerator":"GPU","application/vnd.databricks.v1+notebook":{"dashboards":[],"environmentMetadata":null,"language":"python","notebookMetadata":{"mostRecentlyExecutedCommandWithImplicitDF":{"commandId":-1,"dataframes":["_sqldf"]},"pythonIndentUnit":4},"notebookName":"10_eval-lf-medium-py3.11","widgets":{}},"colab":{"gpuType":"L4","provenance":[]},"kernelspec":{"display_name":"Python 3","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.11.9"}},"nbformat":4,"nbformat_minor":0}
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 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": [
+      "microsoft/Phi-3.5-mini-instruct None False datasets/mac/mac.tsv results/mac-results_rpp_with_mnt_2048.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_rpp_with_mnt_2048.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(\n",
+    "    model_name,\n",
+    "    adapter_name_or_path,\n",
+    "    load_in_4bit,\n",
+    "    data_path,\n",
+    "    results_path,\n",
+    "    use_english_datasets,\n",
+    "    max_new_tokens,\n",
+    ")"
+   ]
+  },
+  {
+   "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"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "53d14cef4ed74d7e9f868cb856183aa4",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Fetching 5 files:   0%|          | 0/5 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Lightning automatically upgraded your loaded checkpoint from v1.8.3.post1 to v2.4.0. To apply the upgrade to your files permanently, run `python -m pytorch_lightning.utilities.upgrade_checkpoint ../../../../.cache/huggingface/hub/models--Unbabel--wmt22-comet-da/snapshots/371e9839ca4e213dde891b066cf3080f75ec7e72/checkpoints/model.ckpt`\n",
+      "Encoder model frozen.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 1133 entries, 0 to 1132\n",
+      "Data columns (total 44 columns):\n",
+      " #   Column                                                            Non-Null Count  Dtype \n",
+      "---  ------                                                            --------------  ----- \n",
+      " 0   chinese                                                           1133 non-null   object\n",
+      " 1   english                                                           1133 non-null   object\n",
+      " 2   internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00              1133 non-null   object\n",
+      " 3   internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.02              1133 non-null   object\n",
+      " 4   internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.04              1133 non-null   object\n",
+      " 5   internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06              1133 non-null   object\n",
+      " 6   internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.08              1133 non-null   object\n",
+      " 7   internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10              1133 non-null   object\n",
+      " 8   Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00                    1133 non-null   object\n",
+      " 9   shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00    1133 non-null   object\n",
+      " 10  Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02                    1133 non-null   object\n",
+      " 11  Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.04                    1133 non-null   object\n",
+      " 12  Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.06                    1133 non-null   object\n",
+      " 13  Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.08                    1133 non-null   object\n",
+      " 14  Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.10                    1133 non-null   object\n",
+      " 15  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.00  1133 non-null   object\n",
+      " 16  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.02  1133 non-null   object\n",
+      " 17  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.04  1133 non-null   object\n",
+      " 18  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.06  1133 non-null   object\n",
+      " 19  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.08  1133 non-null   object\n",
+      " 20  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.10  1133 non-null   object\n",
+      " 21  shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.00     1133 non-null   object\n",
+      " 22  shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.02    1133 non-null   object\n",
+      " 23  shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.02     1133 non-null   object\n",
+      " 24  shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.04     1133 non-null   object\n",
+      " 25  shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.06     1133 non-null   object\n",
+      " 26  shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.08     1133 non-null   object\n",
+      " 27  shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.10     1133 non-null   object\n",
+      " 28  shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.04    1133 non-null   object\n",
+      " 29  shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.06    1133 non-null   object\n",
+      " 30  shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.08    1133 non-null   object\n",
+      " 31  shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.10    1133 non-null   object\n",
+      " 32  Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.00                   1133 non-null   object\n",
+      " 33  Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.02                   1133 non-null   object\n",
+      " 34  Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.04                   1133 non-null   object\n",
+      " 35  Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.06                   1133 non-null   object\n",
+      " 36  Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.08                   1133 non-null   object\n",
+      " 37  Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.10                   1133 non-null   object\n",
+      " 38  microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.00           1133 non-null   object\n",
+      " 39  microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.02           1133 non-null   object\n",
+      " 40  microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.04           1133 non-null   object\n",
+      " 41  microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.06           1133 non-null   object\n",
+      " 42  microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.08           1133 non-null   object\n",
+      " 43  microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.10           1133 non-null   object\n",
+      "dtypes: object(44)\n",
+      "memory usage: 389.6+ KB\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/inflaton/anaconda3/envs/rapget/lib/python3.11/site-packages/pytorch_lightning/core/saving.py:195: Found keys that are not in the model state dict but in the checkpoint: ['encoder.model.embeddings.position_ids']\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/checkpoint-560/rpp-1.00',\n",
+       " 'Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.02',\n",
+       " 'Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.04',\n",
+       " 'Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.06',\n",
+       " 'Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.08',\n",
+       " 'Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.10',\n",
+       " 'Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00',\n",
+       " 'Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02',\n",
+       " 'Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.04',\n",
+       " 'Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.06',\n",
+       " 'Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.08',\n",
+       " 'Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.10',\n",
+       " 'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00',\n",
+       " 'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.02',\n",
+       " 'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.04',\n",
+       " 'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06',\n",
+       " 'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.08',\n",
+       " 'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10',\n",
+       " 'microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.00',\n",
+       " 'microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.02',\n",
+       " 'microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.04',\n",
+       " 'microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.06',\n",
+       " 'microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.08',\n",
+       " 'microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.10',\n",
+       " 'shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00',\n",
+       " 'shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.02',\n",
+       " 'shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.04',\n",
+       " 'shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.06',\n",
+       " 'shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.08',\n",
+       " 'shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.10',\n",
+       " 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.00',\n",
+       " 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.02',\n",
+       " 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.04',\n",
+       " 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.06',\n",
+       " 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.08',\n",
+       " 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.10',\n",
+       " 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.00',\n",
+       " 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.02',\n",
+       " 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.04',\n",
+       " 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.06',\n",
+       " 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.08',\n",
+       " 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.10']"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "result_columns = [col for col in df.columns[2:].to_list() if \"rpp\" in col]\n",
+    "result_columns.sort()\n",
+    "result_columns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(['Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.00',\n",
+       "  'Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.02',\n",
+       "  'Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.04',\n",
+       "  'Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.06',\n",
+       "  'Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.08',\n",
+       "  'Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.10',\n",
+       "  'Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00',\n",
+       "  'Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02',\n",
+       "  'Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.04',\n",
+       "  'Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.06',\n",
+       "  'Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.08',\n",
+       "  'Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.10',\n",
+       "  'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00',\n",
+       "  'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.02',\n",
+       "  'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.04',\n",
+       "  'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06',\n",
+       "  'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.08',\n",
+       "  'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10',\n",
+       "  'microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.00',\n",
+       "  'microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.02',\n",
+       "  'microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.04',\n",
+       "  'microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.06',\n",
+       "  'microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.08',\n",
+       "  'microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.10',\n",
+       "  'shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00',\n",
+       "  'shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.02',\n",
+       "  'shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.04',\n",
+       "  'shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.06',\n",
+       "  'shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.08',\n",
+       "  'shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.10',\n",
+       "  'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.00',\n",
+       "  'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.02',\n",
+       "  'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.04',\n",
+       "  'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.06',\n",
+       "  'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.08',\n",
+       "  'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.10',\n",
+       "  'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.00',\n",
+       "  'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.02',\n",
+       "  'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.04',\n",
+       "  'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.06',\n",
+       "  'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.08',\n",
+       "  'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.10'],\n",
+       " ['chinese',\n",
+       "  'english',\n",
+       "  'Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.00',\n",
+       "  'Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.02',\n",
+       "  'Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.04',\n",
+       "  'Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.06',\n",
+       "  'Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.08',\n",
+       "  'Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.10',\n",
+       "  'Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00',\n",
+       "  'Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02',\n",
+       "  'Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.04',\n",
+       "  'Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.06',\n",
+       "  'Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.08',\n",
+       "  'Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.10',\n",
+       "  'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00',\n",
+       "  'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.02',\n",
+       "  'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.04',\n",
+       "  'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06',\n",
+       "  'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.08',\n",
+       "  'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10',\n",
+       "  'microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.00',\n",
+       "  'microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.02',\n",
+       "  'microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.04',\n",
+       "  'microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.06',\n",
+       "  'microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.08',\n",
+       "  'microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.10',\n",
+       "  'shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00',\n",
+       "  'shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.02',\n",
+       "  'shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.04',\n",
+       "  'shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.06',\n",
+       "  'shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.08',\n",
+       "  'shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.10',\n",
+       "  'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.00',\n",
+       "  'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.02',\n",
+       "  'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.04',\n",
+       "  'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.06',\n",
+       "  'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.08',\n",
+       "  'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.10',\n",
+       "  'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.00',\n",
+       "  'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.02',\n",
+       "  'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.04',\n",
+       "  'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.06',\n",
+       "  'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.08',\n",
+       "  'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.10'])"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "columns = df.columns[:2].to_list() + result_columns\n",
+    "df = df[columns]\n",
+    "columns = df.columns.to_list()\n",
+    "result_columns = df.columns[2:].to_list()\n",
+    "result_columns, columns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 1133 entries, 0 to 1132\n",
+      "Data columns (total 44 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/checkpoint-560/rpp-1.00                   1133 non-null   object\n",
+      " 3   Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.02                   1133 non-null   object\n",
+      " 4   Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.04                   1133 non-null   object\n",
+      " 5   Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.06                   1133 non-null   object\n",
+      " 6   Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.08                   1133 non-null   object\n",
+      " 7   Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.10                   1133 non-null   object\n",
+      " 8   Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00                    1133 non-null   object\n",
+      " 9   Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02                    1133 non-null   object\n",
+      " 10  Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.04                    1133 non-null   object\n",
+      " 11  Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.06                    1133 non-null   object\n",
+      " 12  Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.08                    1133 non-null   object\n",
+      " 13  Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.10                    1133 non-null   object\n",
+      " 14  internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00              1133 non-null   object\n",
+      " 15  internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.02              1133 non-null   object\n",
+      " 16  internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.04              1133 non-null   object\n",
+      " 17  internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06              1133 non-null   object\n",
+      " 18  internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.08              1133 non-null   object\n",
+      " 19  internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10              1133 non-null   object\n",
+      " 20  microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.00           1133 non-null   object\n",
+      " 21  microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.02           1133 non-null   object\n",
+      " 22  microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.04           1133 non-null   object\n",
+      " 23  microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.06           1133 non-null   object\n",
+      " 24  microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.08           1133 non-null   object\n",
+      " 25  microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.10           1133 non-null   object\n",
+      " 26  shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00    1133 non-null   object\n",
+      " 27  shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.02    1133 non-null   object\n",
+      " 28  shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.04    1133 non-null   object\n",
+      " 29  shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.06    1133 non-null   object\n",
+      " 30  shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.08    1133 non-null   object\n",
+      " 31  shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.10    1133 non-null   object\n",
+      " 32  shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.00     1133 non-null   object\n",
+      " 33  shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.02     1133 non-null   object\n",
+      " 34  shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.04     1133 non-null   object\n",
+      " 35  shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.06     1133 non-null   object\n",
+      " 36  shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.08     1133 non-null   object\n",
+      " 37  shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.10     1133 non-null   object\n",
+      " 38  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.00  1133 non-null   object\n",
+      " 39  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.02  1133 non-null   object\n",
+      " 40  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.04  1133 non-null   object\n",
+      " 41  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.06  1133 non-null   object\n",
+      " 42  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.08  1133 non-null   object\n",
+      " 43  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.10  1133 non-null   object\n",
+      "dtypes: object(44)\n",
+      "memory usage: 389.6+ KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "df.info()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 42 entries, 0 to 41\n",
+      "Data columns (total 13 columns):\n",
+      " #   Column                    Non-Null Count  Dtype  \n",
+      "---  ------                    --------------  -----  \n",
+      " 0   model                     42 non-null     object \n",
+      " 1   rpp                       42 non-null     float64\n",
+      " 2   comet                     42 non-null     float64\n",
+      " 3   meteor                    42 non-null     float64\n",
+      " 4   spbleu                    42 non-null     float64\n",
+      " 5   bleu_1                    42 non-null     float64\n",
+      " 6   rouge_l                   42 non-null     float64\n",
+      " 7   ews_score                 42 non-null     float64\n",
+      " 8   repetition_score          42 non-null     float64\n",
+      " 9   total_repetitions         42 non-null     float64\n",
+      " 10  rap                       42 non-null     float64\n",
+      " 11  translation_completeness  42 non-null     float64\n",
+      " 12  num_max_output_tokens     42 non-null     int64  \n",
+      "dtypes: float64(11), int64(1), object(1)\n",
+      "memory usage: 4.4+ KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "metrics_path = results_path.replace(\".csv\", \"_metrics.csv\")\n",
+    "metrics_df = pd.read_csv(metrics_path) if os.path.exists(metrics_path) else None\n",
+    "metrics_df.info() if metrics_df is not None else None"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['Qwen/Qwen2-72B-Instruct', 'Qwen/Qwen2-7B-Instruct', 'internlm/internlm2_5-7b-chat', 'microsoft/Phi-3.5-mini-instruct', 'shenzhi-wang/Llama3.1-70B-Chinese-Chat', 'shenzhi-wang/Llama3.1-8B-Chinese-Chat', 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat']\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\n",
+      "Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\n",
+      "Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\n",
+      "Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\n",
+      "Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\n",
+      "You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Using existing metrics for Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.00\n",
+      "Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.00: {'model': 'Qwen/Qwen2-72B-Instruct', 'rpp': 1.0, 'comet': 0.7570169081439618, 'meteor': 0.4789208192601603, 'spbleu': 18.953782447211417, 'bleu_1': 0.1895378244721141, 'rouge_l': 0.4520943414365094, 'ews_score': 0.0, 'repetition_score': 0.0988526037069726, 'total_repetitions': 0.0988526037069726, 'rap': 0.7537966634953808, 'translation_completeness': 1.0, 'num_max_output_tokens': 0}\n",
+      "Using existing metrics for Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.02\n",
+      "Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.02: {'model': 'Qwen/Qwen2-72B-Instruct', 'rpp': 1.02, 'comet': 0.7573581492858762, 'meteor': 0.4796836675632054, 'spbleu': 19.0137490702917, 'bleu_1': 0.190137490702917, 'rouge_l': 0.4520458023287854, 'ews_score': 0.0, 'repetition_score': 0.0812003530450132, 'total_repetitions': 0.0812003530450132, 'rap': 0.7547074311557754, 'translation_completeness': 1.0, 'num_max_output_tokens': 0}\n",
+      "Using existing metrics for Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.04\n",
+      "Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.04: {'model': 'Qwen/Qwen2-72B-Instruct', 'rpp': 1.04, 'comet': 0.7574983964372501, 'meteor': 0.476362681282195, 'spbleu': 18.52063321160408, 'bleu_1': 0.1852063321160408, 'rouge_l': 0.4489040568717591, 'ews_score': 0.0, 'repetition_score': 0.1050308914386584, 'total_repetitions': 0.1050308914386584, 'rap': 0.7540766638515739, 'translation_completeness': 1.0, 'num_max_output_tokens': 0}\n",
+      "Using existing metrics for Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.06\n",
+      "Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.06: {'model': 'Qwen/Qwen2-72B-Instruct', 'rpp': 1.06, 'comet': 0.7563851308422812, 'meteor': 0.4679636383950649, 'spbleu': 17.982473951038504, 'bleu_1': 0.1798247395103851, 'rouge_l': 0.441062203630729, 'ews_score': 0.0, 'repetition_score': 0.0732568402471315, 'total_repetitions': 0.0732568402471315, 'rap': 0.7539950363948406, 'translation_completeness': 1.0, 'num_max_output_tokens': 0}\n",
+      "Using existing metrics for Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.08\n",
+      "Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.08: {'model': 'Qwen/Qwen2-72B-Instruct', 'rpp': 1.08, 'comet': 0.7554470169417962, 'meteor': 0.4597578197711645, 'spbleu': 17.067954025424825, 'bleu_1': 0.1706795402542483, 'rouge_l': 0.4317496244624469, 'ews_score': 0.0, 'repetition_score': 0.0476610767872903, 'total_repetitions': 0.0476610767872903, 'rap': 0.753890250753016, 'translation_completeness': 1.0, 'num_max_output_tokens': 0}\n",
+      "Using existing metrics for Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.10\n",
+      "Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.10: {'model': 'Qwen/Qwen2-72B-Instruct', 'rpp': 1.1, 'comet': 0.7550096405046973, 'meteor': 0.4515778511124262, 'spbleu': 16.22452191616505, 'bleu_1': 0.1622452191616504, 'rouge_l': 0.4242083184666598, 'ews_score': 0.0, 'repetition_score': 0.057369814651368, 'total_repetitions': 0.057369814651368, 'rap': 0.7531385283434515, 'translation_completeness': 1.0, 'num_max_output_tokens': 0}\n",
+      "Using existing metrics for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00\n",
+      "Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00: {'model': 'Qwen/Qwen2-7B-Instruct', 'rpp': 1.0, 'comet': 0.7457721890965501, 'meteor': 0.442240791493943, 'spbleu': 14.38814929350883, 'bleu_1': 0.1438814929350883, 'rouge_l': 0.4160546438584113, 'ews_score': 0.0, 'repetition_score': 12.81288614298323, 'total_repetitions': 12.81288614298323, 'rap': 0.5490966301804292, 'translation_completeness': 0.994704324801412, 'num_max_output_tokens': 2}\n",
+      "Using existing metrics for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02\n",
+      "Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02: {'model': 'Qwen/Qwen2-7B-Instruct', 'rpp': 1.02, 'comet': 0.7474080664545482, 'meteor': 0.4400998640836595, 'spbleu': 15.16172261831792, 'bleu_1': 0.1516172261831792, 'rouge_l': 0.4160749445105633, 'ews_score': 0.0, 'repetition_score': 7.1562224183583405, 'total_repetitions': 7.1562224183583405, 'rap': 0.605472251398711, 'translation_completeness': 0.994704324801412, 'num_max_output_tokens': 1}\n",
+      "Using existing metrics for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.04\n",
+      "Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.04: {'model': 'Qwen/Qwen2-7B-Instruct', 'rpp': 1.04, 'comet': 0.7484375637974869, 'meteor': 0.4390136558190875, 'spbleu': 14.958631815014014, 'bleu_1': 0.1495863181501401, 'rouge_l': 0.4138111632957468, 'ews_score': 0.0, 'repetition_score': 0.1853486319505737, 'total_repetitions': 0.1853486319505737, 'rap': 0.742515336500048, 'translation_completeness': 0.999117387466902, 'num_max_output_tokens': 0}\n",
+      "Using existing metrics for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.06\n",
+      "Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.06: {'model': 'Qwen/Qwen2-7B-Instruct', 'rpp': 1.06, 'comet': 0.7471612840233287, 'meteor': 0.4328321576515084, 'spbleu': 14.28087386760537, 'bleu_1': 0.1428087386760537, 'rouge_l': 0.4069074178015074, 'ews_score': 0.0, 'repetition_score': 0.2030008826125331, 'total_repetitions': 0.2030008826125331, 'rap': 0.7406965407448669, 'translation_completeness': 0.998234774933804, 'num_max_output_tokens': 0}\n",
+      "Using existing metrics for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.08\n",
+      "Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.08: {'model': 'Qwen/Qwen2-7B-Instruct', 'rpp': 1.08, 'comet': 0.74519401609845, 'meteor': 0.423560805217557, 'spbleu': 13.659683698817108, 'bleu_1': 0.1365968369881711, 'rouge_l': 0.3966315425573522, 'ews_score': 0.0, 'repetition_score': 0.2215357458075904, 'total_repetitions': 0.2215357458075904, 'rap': 0.7381694832783203, 'translation_completeness': 1.0, 'num_max_output_tokens': 0}\n",
+      "Using existing metrics for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.10\n",
+      "Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.10: {'model': 'Qwen/Qwen2-7B-Instruct', 'rpp': 1.1, 'comet': 0.7432071187016402, 'meteor': 0.4135053136541433, 'spbleu': 12.922649874705083, 'bleu_1': 0.1292264987470507, 'rouge_l': 0.3876193185383525, 'ews_score': 0.0, 'repetition_score': 0.1774051191526919, 'total_repetitions': 0.1774051191526919, 'rap': 0.737574218462684, 'translation_completeness': 1.0, 'num_max_output_tokens': 0}\n",
+      "Using existing metrics for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00\n",
+      "internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00: {'model': 'internlm/internlm2_5-7b-chat', 'rpp': 1.0, 'comet': 0.739699612254078, 'meteor': 0.4289996929258777, 'spbleu': 14.734881589173108, 'bleu_1': 0.1473488158917311, 'rouge_l': 0.4096466800937898, 'ews_score': 0.0, 'repetition_score': 12.751103265666371, 'total_repetitions': 12.751103265666371, 'rap': 0.5450982095784719, 'translation_completeness': 1.0, 'num_max_output_tokens': 2}\n",
+      "Using existing metrics for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.02\n",
+      "internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.02: {'model': 'internlm/internlm2_5-7b-chat', 'rpp': 1.02, 'comet': 0.740223803961056, 'meteor': 0.4266246904302194, 'spbleu': 14.583816688798017, 'bleu_1': 0.1458381668879802, 'rouge_l': 0.4071727106228415, 'ews_score': 0.0, 'repetition_score': 9.824360105913504, 'total_repetitions': 9.824360105913504, 'rap': 0.5706323412193933, 'translation_completeness': 1.0, 'num_max_output_tokens': 1}\n",
+      "Using existing metrics for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.04\n",
+      "internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.04: {'model': 'internlm/internlm2_5-7b-chat', 'rpp': 1.04, 'comet': 0.7398856264610577, 'meteor': 0.4154585167056314, 'spbleu': 13.534659133050225, 'bleu_1': 0.1353465913305021, 'rouge_l': 0.3968657713589718, 'ews_score': 0.0, 'repetition_score': 6.527802294792586, 'total_repetitions': 6.527802294792586, 'rap': 0.6073521998554903, 'translation_completeness': 1.0, 'num_max_output_tokens': 1}\n",
+      "Using existing metrics for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06\n",
+      "internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06: {'model': 'internlm/internlm2_5-7b-chat', 'rpp': 1.06, 'comet': 0.7379362287241489, 'meteor': 0.4039588647855378, 'spbleu': 12.346740971499404, 'bleu_1': 0.1234674097149939, 'rouge_l': 0.3872447044295494, 'ews_score': 0.0, 'repetition_score': 6.533980582524272, 'total_repetitions': 6.533980582524272, 'rap': 0.6056712925221626, 'translation_completeness': 0.999117387466902, 'num_max_output_tokens': 1}\n",
+      "Using existing metrics for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.08\n",
+      "internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.08: {'model': 'internlm/internlm2_5-7b-chat', 'rpp': 1.08, 'comet': 0.7319988705684732, 'meteor': 0.3873176839854818, 'spbleu': 11.075674965706344, 'bleu_1': 0.1107567496570634, 'rouge_l': 0.3724352909668609, 'ews_score': 0.0, 'repetition_score': 9.820829655781113, 'total_repetitions': 9.820829655781113, 'rap': 0.5643254582029298, 'translation_completeness': 0.999117387466902, 'num_max_output_tokens': 1}\n",
+      "Using existing metrics for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10\n",
+      "internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10: {'model': 'internlm/internlm2_5-7b-chat', 'rpp': 1.1, 'comet': 0.7295350462119345, 'meteor': 0.3769306874386757, 'spbleu': 10.305163787094209, 'bleu_1': 0.1030516378709421, 'rouge_l': 0.3634496155759507, 'ews_score': 0.0, 'repetition_score': 6.525154457193292, 'total_repetitions': 6.525154457193292, 'rap': 0.5988898943353679, 'translation_completeness': 0.999117387466902, 'num_max_output_tokens': 1}\n",
+      "Using existing metrics for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.00\n",
+      "microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.00: {'model': 'microsoft/Phi-3.5-mini-instruct', 'rpp': 1.0, 'comet': 0.7107840433177544, 'meteor': 0.3796831545348129, 'spbleu': 8.71296896471494, 'bleu_1': 0.0871296896471493, 'rouge_l': 0.3589874395901284, 'ews_score': 0.0, 'repetition_score': 28.42630185348632, 'total_repetitions': 28.42630185348632, 'rap': 0.4485492990665038, 'translation_completeness': 1.0, 'num_max_output_tokens': 6}\n",
+      "Using existing metrics for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.02\n",
+      "microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.02: {'model': 'microsoft/Phi-3.5-mini-instruct', 'rpp': 1.02, 'comet': 0.7164765837070485, 'meteor': 0.3780585837553919, 'spbleu': 10.291240080163629, 'bleu_1': 0.1029124008016362, 'rouge_l': 0.3546952732427276, 'ews_score': 0.0, 'repetition_score': 10.696381288614296, 'total_repetitions': 10.696381288614296, 'rap': 0.5444787777612768, 'translation_completeness': 1.0, 'num_max_output_tokens': 2}\n",
+      "Using existing metrics for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.04\n",
+      "microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.04: {'model': 'microsoft/Phi-3.5-mini-instruct', 'rpp': 1.04, 'comet': 0.7111233387336411, 'meteor': 0.3547161333845742, 'spbleu': 8.966881655527896, 'bleu_1': 0.0896688165552789, 'rouge_l': 0.3300979657678754, 'ews_score': 0.0, 'repetition_score': 3.7484554280670785, 'total_repetitions': 3.7484554280670785, 'rap': 0.6247493045810047, 'translation_completeness': 1.0, 'num_max_output_tokens': 1}\n",
+      "Using existing metrics for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.06\n",
+      "microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.06: {'model': 'microsoft/Phi-3.5-mini-instruct', 'rpp': 1.06, 'comet': 0.7024363270136286, 'meteor': 0.3298733737040869, 'spbleu': 7.076233088011138, 'bleu_1': 0.0707623308801113, 'rouge_l': 0.3019513312669543, 'ews_score': 0.0, 'repetition_score': 0.1076787290379523, 'total_repetitions': 0.1076787290379523, 'rap': 0.6991841213752065, 'translation_completeness': 1.0, 'num_max_output_tokens': 0}\n",
+      "Using existing metrics for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.08\n",
+      "microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.08: {'model': 'microsoft/Phi-3.5-mini-instruct', 'rpp': 1.08, 'comet': 0.6882111219210848, 'meteor': 0.3054541022592767, 'spbleu': 5.105510599247868, 'bleu_1': 0.0510551059924786, 'rouge_l': 0.2736030007297014, 'ews_score': 0.0, 'repetition_score': 3.29567519858782, 'total_repetitions': 3.29567519858782, 'rap': 0.6124452738619192, 'translation_completeness': 1.0, 'num_max_output_tokens': 1}\n",
+      "Using existing metrics for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.10\n",
+      "microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.10: {'model': 'microsoft/Phi-3.5-mini-instruct', 'rpp': 1.1, 'comet': 0.6712992989638161, 'meteor': 0.2903831801547132, 'spbleu': 4.091958857999118, 'bleu_1': 0.0409195885799911, 'rouge_l': 0.251653275009876, 'ews_score': 0.0, 'repetition_score': 0.0776699029126213, 'total_repetitions': 0.0776699029126213, 'rap': 0.6690512007506374, 'translation_completeness': 1.0, 'num_max_output_tokens': 0}\n",
+      "Using existing metrics for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00\n",
+      "shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00: {'model': 'shenzhi-wang/Llama3.1-70B-Chinese-Chat', 'rpp': 1.0, 'comet': 0.7501818982248062, 'meteor': 0.4611110508507017, 'spbleu': 17.87914973742753, 'bleu_1': 0.1787914973742752, 'rouge_l': 0.4340662057009564, 'ews_score': 0.0, 'repetition_score': 0.088261253309797, 'total_repetitions': 0.088261253309797, 'rap': 0.747329847981863, 'translation_completeness': 1.0, 'num_max_output_tokens': 0}\n",
+      "Using existing metrics for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.02\n",
+      "shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.02: {'model': 'shenzhi-wang/Llama3.1-70B-Chinese-Chat', 'rpp': 1.02, 'comet': 0.7485114382045625, 'meteor': 0.4571517219079576, 'spbleu': 17.436884594979905, 'bleu_1': 0.174368845949799, 'rouge_l': 0.4311385932640979, 'ews_score': 0.0, 'repetition_score': 0.0926743159752868, 'total_repetitions': 0.0926743159752868, 'rap': 0.7455246732136059, 'translation_completeness': 1.0, 'num_max_output_tokens': 0}\n",
+      "Using existing metrics for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.04\n",
+      "shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.04: {'model': 'shenzhi-wang/Llama3.1-70B-Chinese-Chat', 'rpp': 1.04, 'comet': 0.7500591586357918, 'meteor': 0.4560467960364254, 'spbleu': 17.440173470996626, 'bleu_1': 0.1744017347099662, 'rouge_l': 0.4302844557731285, 'ews_score': 0.0, 'repetition_score': 0.1306266548984995, 'total_repetitions': 0.1306266548984995, 'rap': 0.7458552866168927, 'translation_completeness': 1.0, 'num_max_output_tokens': 0}\n",
+      "Using existing metrics for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.06\n",
+      "shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.06: {'model': 'shenzhi-wang/Llama3.1-70B-Chinese-Chat', 'rpp': 1.06, 'comet': 0.748812871571673, 'meteor': 0.4520416361219855, 'spbleu': 16.89523258317781, 'bleu_1': 0.168952325831778, 'rouge_l': 0.4260026774745837, 'ews_score': 0.0, 'repetition_score': 0.1253309796999117, 'total_repetitions': 0.1253309796999117, 'rap': 0.7447841638756355, 'translation_completeness': 1.0, 'num_max_output_tokens': 0}\n",
+      "Using existing metrics for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.08\n",
+      "shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.08: {'model': 'shenzhi-wang/Llama3.1-70B-Chinese-Chat', 'rpp': 1.08, 'comet': 0.7473851635144647, 'meteor': 0.4442106511292453, 'spbleu': 16.16623784482793, 'bleu_1': 0.1616623784482792, 'rouge_l': 0.4195129470585874, 'ews_score': 0.0, 'repetition_score': 0.1871138570167696, 'total_repetitions': 0.1871138570167696, 'rap': 0.7414159053529263, 'translation_completeness': 1.0, 'num_max_output_tokens': 0}\n",
+      "Using existing metrics for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.10\n",
+      "shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.10: {'model': 'shenzhi-wang/Llama3.1-70B-Chinese-Chat', 'rpp': 1.1, 'comet': 0.7465709781131172, 'meteor': 0.4379837926138161, 'spbleu': 15.60172257624066, 'bleu_1': 0.1560172257624066, 'rouge_l': 0.4132562932940978, 'ews_score': 0.0, 'repetition_score': 0.086496028243601, 'total_repetitions': 0.086496028243601, 'rap': 0.743788967986371, 'translation_completeness': 1.0, 'num_max_output_tokens': 0}\n",
+      "Using existing metrics for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.00\n",
+      "shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.00: {'model': 'shenzhi-wang/Llama3.1-8B-Chinese-Chat', 'rpp': 1.0, 'comet': 0.7426396049131678, 'meteor': 0.433632501662176, 'spbleu': 15.209540658023398, 'bleu_1': 0.1520954065802339, 'rouge_l': 0.4089208235151474, 'ews_score': 0.0, 'repetition_score': 5.798764342453663, 'total_repetitions': 5.798764342453663, 'rap': 0.619577239776096, 'translation_completeness': 1.0, 'num_max_output_tokens': 1}\n",
+      "Using existing metrics for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.02\n",
+      "shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.02: {'model': 'shenzhi-wang/Llama3.1-8B-Chinese-Chat', 'rpp': 1.02, 'comet': 0.7436477056353469, 'meteor': 0.4329054166518245, 'spbleu': 15.19102241646024, 'bleu_1': 0.1519102241646024, 'rouge_l': 0.4068967964789407, 'ews_score': 0.0, 'repetition_score': 5.77846425419241, 'total_repetitions': 5.77846425419241, 'rap': 0.6207074516423631, 'translation_completeness': 1.0, 'num_max_output_tokens': 1}\n",
+      "Using existing metrics for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.04\n",
+      "shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.04: {'model': 'shenzhi-wang/Llama3.1-8B-Chinese-Chat', 'rpp': 1.04, 'comet': 0.7440943776351209, 'meteor': 0.4320478700956207, 'spbleu': 15.05135166158296, 'bleu_1': 0.1505135166158296, 'rouge_l': 0.4062008380201262, 'ews_score': 0.0, 'repetition_score': 0.1182700794351279, 'total_repetitions': 0.1182700794351279, 'rap': 0.7403141356055205, 'translation_completeness': 1.0, 'num_max_output_tokens': 0}\n",
+      "Using existing metrics for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.06\n",
+      "shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.06: {'model': 'shenzhi-wang/Llama3.1-8B-Chinese-Chat', 'rpp': 1.06, 'comet': 0.7426502735395928, 'meteor': 0.4275429314912545, 'spbleu': 14.449130821290163, 'bleu_1': 0.1444913082129016, 'rouge_l': 0.4001409979222783, 'ews_score': 0.0, 'repetition_score': 0.176522506619594, 'total_repetitions': 0.176522506619594, 'rap': 0.7370491441666694, 'translation_completeness': 1.0, 'num_max_output_tokens': 0}\n",
+      "Using existing metrics for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.08\n",
+      "shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.08: {'model': 'shenzhi-wang/Llama3.1-8B-Chinese-Chat', 'rpp': 1.08, 'comet': 0.7408098006080129, 'meteor': 0.4206626658729054, 'spbleu': 13.933703757385222, 'bleu_1': 0.1393370375738522, 'rouge_l': 0.3964824268676203, 'ews_score': 0.0, 'repetition_score': 0.2188879082082965, 'total_repetitions': 0.2188879082082965, 'rap': 0.7339083936807739, 'translation_completeness': 1.0, 'num_max_output_tokens': 0}\n",
+      "Using existing metrics for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.10\n",
+      "shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.10: {'model': 'shenzhi-wang/Llama3.1-8B-Chinese-Chat', 'rpp': 1.1, 'comet': 0.7392685912871718, 'meteor': 0.4111211240399151, 'spbleu': 13.303738403756984, 'bleu_1': 0.1330373840375698, 'rouge_l': 0.3870959581563503, 'ews_score': 0.0, 'repetition_score': 0.1385701676963812, 'total_repetitions': 0.1385701676963812, 'rap': 0.7348764469929082, 'translation_completeness': 1.0, 'num_max_output_tokens': 0}\n",
+      "Using existing metrics for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.00\n",
+      "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.00: {'model': 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat', 'rpp': 1.0, 'comet': 0.7240239171358935, 'meteor': 0.4068335357738006, 'spbleu': 13.565136550617618, 'bleu_1': 0.1356513655061761, 'rouge_l': 0.3866395067055498, 'ews_score': 0.0, 'repetition_score': 0.1059135039717564, 'total_repetitions': 0.1059135039717564, 'rap': 0.7207261791424407, 'translation_completeness': 1.0, 'num_max_output_tokens': 0}\n",
+      "Using existing metrics for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.02\n",
+      "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.02: {'model': 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat', 'rpp': 1.02, 'comet': 0.7263097057327799, 'meteor': 0.4064914781094827, 'spbleu': 13.42987641622816, 'bleu_1': 0.1342987641622816, 'rouge_l': 0.3863697821025159, 'ews_score': 0.0, 'repetition_score': 6.238305383936452, 'total_repetitions': 6.238305383936452, 'rap': 0.5999878425713037, 'translation_completeness': 1.0, 'num_max_output_tokens': 1}\n",
+      "Using existing metrics for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.04\n",
+      "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.04: {'model': 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat', 'rpp': 1.04, 'comet': 0.7276128307708258, 'meteor': 0.4054859896994975, 'spbleu': 13.295092218891954, 'bleu_1': 0.1329509221889195, 'rouge_l': 0.3851203729935697, 'ews_score': 0.0, 'repetition_score': 0.1297440423654016, 'total_repetitions': 0.1297440423654016, 'rap': 0.7235619893938705, 'translation_completeness': 1.0, 'num_max_output_tokens': 0}\n",
+      "Using existing metrics for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.06\n",
+      "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.06: {'model': 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat', 'rpp': 1.06, 'comet': 0.7276865132383193, 'meteor': 0.4014727027723293, 'spbleu': 13.10860799057166, 'bleu_1': 0.1310860799057166, 'rouge_l': 0.3804952786306688, 'ews_score': 0.0, 'repetition_score': 0.2074139452780229, 'total_repetitions': 0.2074139452780229, 'rap': 0.7212559915451495, 'translation_completeness': 1.0, 'num_max_output_tokens': 0}\n",
+      "Using existing metrics for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.08\n",
+      "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.08: {'model': 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat', 'rpp': 1.08, 'comet': 0.726393195584298, 'meteor': 0.3987018836449559, 'spbleu': 12.850537785783194, 'bleu_1': 0.1285053778578319, 'rouge_l': 0.3788945955746495, 'ews_score': 0.0, 'repetition_score': 0.2903795233892321, 'total_repetitions': 0.2903795233892321, 'rap': 0.717473994791502, 'translation_completeness': 1.0, 'num_max_output_tokens': 0}\n",
+      "Using existing metrics for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.10\n",
+      "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.10: {'model': 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat', 'rpp': 1.1, 'comet': 0.7244012304511832, 'meteor': 0.3932239948456176, 'spbleu': 12.361161644811926, 'bleu_1': 0.1236116164481192, 'rouge_l': 0.3733413807007665, 'ews_score': 0.0, 'repetition_score': 0.1500441306266549, 'total_repetitions': 0.1500441306266549, 'rap': 0.7197459635880831, 'translation_completeness': 1.0, 'num_max_output_tokens': 0}\n",
+      "CPU times: user 23.1 s, sys: 188 ms, total: 23.2 s\n",
+      "Wall time: 25.8 s\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
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+       "<style scoped>\n",
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+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>model</th>\n",
+       "      <th>rpp</th>\n",
+       "      <th>comet</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>translation_completeness</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>1.00</td>\n",
+       "      <td>0.757017</td>\n",
+       "      <td>0.478921</td>\n",
+       "      <td>18.953782</td>\n",
+       "      <td>0.189538</td>\n",
+       "      <td>0.452094</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.098853</td>\n",
+       "      <td>0.098853</td>\n",
+       "      <td>0.753797</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Qwen/Qwen2-72B-Instruct</td>\n",
+       "      <td>1.02</td>\n",
+       "      <td>0.757358</td>\n",
+       "      <td>0.479684</td>\n",
+       "      <td>19.013749</td>\n",
+       "      <td>0.190137</td>\n",
+       "      <td>0.452046</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.081200</td>\n",
+       "      <td>0.081200</td>\n",
+       "      <td>0.754707</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Qwen/Qwen2-72B-Instruct</td>\n",
+       "      <td>1.04</td>\n",
+       "      <td>0.757498</td>\n",
+       "      <td>0.476363</td>\n",
+       "      <td>18.520633</td>\n",
+       "      <td>0.185206</td>\n",
+       "      <td>0.448904</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.105031</td>\n",
+       "      <td>0.105031</td>\n",
+       "      <td>0.754077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Qwen/Qwen2-72B-Instruct</td>\n",
+       "      <td>1.06</td>\n",
+       "      <td>0.756385</td>\n",
+       "      <td>0.467964</td>\n",
+       "      <td>17.982474</td>\n",
+       "      <td>0.179825</td>\n",
+       "      <td>0.441062</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.073257</td>\n",
+       "      <td>0.073257</td>\n",
+       "      <td>0.753995</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Qwen/Qwen2-72B-Instruct</td>\n",
+       "      <td>1.08</td>\n",
+       "      <td>0.755447</td>\n",
+       "      <td>0.459758</td>\n",
+       "      <td>17.067954</td>\n",
+       "      <td>0.170680</td>\n",
+       "      <td>0.431750</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.047661</td>\n",
+       "      <td>0.047661</td>\n",
+       "      <td>0.753890</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>Qwen/Qwen2-72B-Instruct</td>\n",
+       "      <td>1.10</td>\n",
+       "      <td>0.755010</td>\n",
+       "      <td>0.451578</td>\n",
+       "      <td>16.224522</td>\n",
+       "      <td>0.162245</td>\n",
+       "      <td>0.424208</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.057370</td>\n",
+       "      <td>0.057370</td>\n",
+       "      <td>0.753139</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>Qwen/Qwen2-7B-Instruct</td>\n",
+       "      <td>1.00</td>\n",
+       "      <td>0.745772</td>\n",
+       "      <td>0.442241</td>\n",
+       "      <td>14.388149</td>\n",
+       "      <td>0.143881</td>\n",
+       "      <td>0.416055</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>12.812886</td>\n",
+       "      <td>12.812886</td>\n",
+       "      <td>0.549097</td>\n",
+       "      <td>0.994704</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>Qwen/Qwen2-7B-Instruct</td>\n",
+       "      <td>1.02</td>\n",
+       "      <td>0.747408</td>\n",
+       "      <td>0.440100</td>\n",
+       "      <td>15.161723</td>\n",
+       "      <td>0.151617</td>\n",
+       "      <td>0.416075</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>7.156222</td>\n",
+       "      <td>7.156222</td>\n",
+       "      <td>0.605472</td>\n",
+       "      <td>0.994704</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>Qwen/Qwen2-7B-Instruct</td>\n",
+       "      <td>1.04</td>\n",
+       "      <td>0.748438</td>\n",
+       "      <td>0.439014</td>\n",
+       "      <td>14.958632</td>\n",
+       "      <td>0.149586</td>\n",
+       "      <td>0.413811</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.185349</td>\n",
+       "      <td>0.185349</td>\n",
+       "      <td>0.742515</td>\n",
+       "      <td>0.999117</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>Qwen/Qwen2-7B-Instruct</td>\n",
+       "      <td>1.06</td>\n",
+       "      <td>0.747161</td>\n",
+       "      <td>0.432832</td>\n",
+       "      <td>14.280874</td>\n",
+       "      <td>0.142809</td>\n",
+       "      <td>0.406907</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.203001</td>\n",
+       "      <td>0.203001</td>\n",
+       "      <td>0.740697</td>\n",
+       "      <td>0.998235</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>Qwen/Qwen2-7B-Instruct</td>\n",
+       "      <td>1.08</td>\n",
+       "      <td>0.745194</td>\n",
+       "      <td>0.423561</td>\n",
+       "      <td>13.659684</td>\n",
+       "      <td>0.136597</td>\n",
+       "      <td>0.396632</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.221536</td>\n",
+       "      <td>0.221536</td>\n",
+       "      <td>0.738169</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>Qwen/Qwen2-7B-Instruct</td>\n",
+       "      <td>1.10</td>\n",
+       "      <td>0.743207</td>\n",
+       "      <td>0.413505</td>\n",
+       "      <td>12.922650</td>\n",
+       "      <td>0.129226</td>\n",
+       "      <td>0.387619</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.177405</td>\n",
+       "      <td>0.177405</td>\n",
+       "      <td>0.737574</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>internlm/internlm2_5-7b-chat</td>\n",
+       "      <td>1.00</td>\n",
+       "      <td>0.739700</td>\n",
+       "      <td>0.429000</td>\n",
+       "      <td>14.734882</td>\n",
+       "      <td>0.147349</td>\n",
+       "      <td>0.409647</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>12.751103</td>\n",
+       "      <td>12.751103</td>\n",
+       "      <td>0.545098</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>internlm/internlm2_5-7b-chat</td>\n",
+       "      <td>1.02</td>\n",
+       "      <td>0.740224</td>\n",
+       "      <td>0.426625</td>\n",
+       "      <td>14.583817</td>\n",
+       "      <td>0.145838</td>\n",
+       "      <td>0.407173</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>9.824360</td>\n",
+       "      <td>9.824360</td>\n",
+       "      <td>0.570632</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>internlm/internlm2_5-7b-chat</td>\n",
+       "      <td>1.04</td>\n",
+       "      <td>0.739886</td>\n",
+       "      <td>0.415459</td>\n",
+       "      <td>13.534659</td>\n",
+       "      <td>0.135347</td>\n",
+       "      <td>0.396866</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>6.527802</td>\n",
+       "      <td>6.527802</td>\n",
+       "      <td>0.607352</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>internlm/internlm2_5-7b-chat</td>\n",
+       "      <td>1.06</td>\n",
+       "      <td>0.737936</td>\n",
+       "      <td>0.403959</td>\n",
+       "      <td>12.346741</td>\n",
+       "      <td>0.123467</td>\n",
+       "      <td>0.387245</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>6.533981</td>\n",
+       "      <td>6.533981</td>\n",
+       "      <td>0.605671</td>\n",
+       "      <td>0.999117</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>internlm/internlm2_5-7b-chat</td>\n",
+       "      <td>1.08</td>\n",
+       "      <td>0.731999</td>\n",
+       "      <td>0.387318</td>\n",
+       "      <td>11.075675</td>\n",
+       "      <td>0.110757</td>\n",
+       "      <td>0.372435</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>9.820830</td>\n",
+       "      <td>9.820830</td>\n",
+       "      <td>0.564325</td>\n",
+       "      <td>0.999117</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>internlm/internlm2_5-7b-chat</td>\n",
+       "      <td>1.10</td>\n",
+       "      <td>0.729535</td>\n",
+       "      <td>0.376931</td>\n",
+       "      <td>10.305164</td>\n",
+       "      <td>0.103052</td>\n",
+       "      <td>0.363450</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>6.525154</td>\n",
+       "      <td>6.525154</td>\n",
+       "      <td>0.598890</td>\n",
+       "      <td>0.999117</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>microsoft/Phi-3.5-mini-instruct</td>\n",
+       "      <td>1.00</td>\n",
+       "      <td>0.710784</td>\n",
+       "      <td>0.379683</td>\n",
+       "      <td>8.712969</td>\n",
+       "      <td>0.087130</td>\n",
+       "      <td>0.358987</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>28.426302</td>\n",
+       "      <td>28.426302</td>\n",
+       "      <td>0.448549</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>microsoft/Phi-3.5-mini-instruct</td>\n",
+       "      <td>1.02</td>\n",
+       "      <td>0.716477</td>\n",
+       "      <td>0.378059</td>\n",
+       "      <td>10.291240</td>\n",
+       "      <td>0.102912</td>\n",
+       "      <td>0.354695</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>10.696381</td>\n",
+       "      <td>10.696381</td>\n",
+       "      <td>0.544479</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>microsoft/Phi-3.5-mini-instruct</td>\n",
+       "      <td>1.04</td>\n",
+       "      <td>0.711123</td>\n",
+       "      <td>0.354716</td>\n",
+       "      <td>8.966882</td>\n",
+       "      <td>0.089669</td>\n",
+       "      <td>0.330098</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>3.748455</td>\n",
+       "      <td>3.748455</td>\n",
+       "      <td>0.624749</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>microsoft/Phi-3.5-mini-instruct</td>\n",
+       "      <td>1.06</td>\n",
+       "      <td>0.702436</td>\n",
+       "      <td>0.329873</td>\n",
+       "      <td>7.076233</td>\n",
+       "      <td>0.070762</td>\n",
+       "      <td>0.301951</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.107679</td>\n",
+       "      <td>0.107679</td>\n",
+       "      <td>0.699184</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>microsoft/Phi-3.5-mini-instruct</td>\n",
+       "      <td>1.08</td>\n",
+       "      <td>0.688211</td>\n",
+       "      <td>0.305454</td>\n",
+       "      <td>5.105511</td>\n",
+       "      <td>0.051055</td>\n",
+       "      <td>0.273603</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>3.295675</td>\n",
+       "      <td>3.295675</td>\n",
+       "      <td>0.612445</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>microsoft/Phi-3.5-mini-instruct</td>\n",
+       "      <td>1.10</td>\n",
+       "      <td>0.671299</td>\n",
+       "      <td>0.290383</td>\n",
+       "      <td>4.091959</td>\n",
+       "      <td>0.040920</td>\n",
+       "      <td>0.251653</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.077670</td>\n",
+       "      <td>0.077670</td>\n",
+       "      <td>0.669051</td>\n",
+       "      <td>1.000000</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>1.00</td>\n",
+       "      <td>0.750182</td>\n",
+       "      <td>0.461111</td>\n",
+       "      <td>17.879150</td>\n",
+       "      <td>0.178791</td>\n",
+       "      <td>0.434066</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.088261</td>\n",
+       "      <td>0.088261</td>\n",
+       "      <td>0.747330</td>\n",
+       "      <td>1.000000</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>1.02</td>\n",
+       "      <td>0.748511</td>\n",
+       "      <td>0.457152</td>\n",
+       "      <td>17.436885</td>\n",
+       "      <td>0.174369</td>\n",
+       "      <td>0.431139</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.092674</td>\n",
+       "      <td>0.092674</td>\n",
+       "      <td>0.745525</td>\n",
+       "      <td>1.000000</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>1.04</td>\n",
+       "      <td>0.750059</td>\n",
+       "      <td>0.456047</td>\n",
+       "      <td>17.440173</td>\n",
+       "      <td>0.174402</td>\n",
+       "      <td>0.430284</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.130627</td>\n",
+       "      <td>0.130627</td>\n",
+       "      <td>0.745855</td>\n",
+       "      <td>1.000000</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>1.06</td>\n",
+       "      <td>0.748813</td>\n",
+       "      <td>0.452042</td>\n",
+       "      <td>16.895233</td>\n",
+       "      <td>0.168952</td>\n",
+       "      <td>0.426003</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.125331</td>\n",
+       "      <td>0.125331</td>\n",
+       "      <td>0.744784</td>\n",
+       "      <td>1.000000</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>1.08</td>\n",
+       "      <td>0.747385</td>\n",
+       "      <td>0.444211</td>\n",
+       "      <td>16.166238</td>\n",
+       "      <td>0.161662</td>\n",
+       "      <td>0.419513</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.187114</td>\n",
+       "      <td>0.187114</td>\n",
+       "      <td>0.741416</td>\n",
+       "      <td>1.000000</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>1.10</td>\n",
+       "      <td>0.746571</td>\n",
+       "      <td>0.437984</td>\n",
+       "      <td>15.601723</td>\n",
+       "      <td>0.156017</td>\n",
+       "      <td>0.413256</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.086496</td>\n",
+       "      <td>0.086496</td>\n",
+       "      <td>0.743789</td>\n",
+       "      <td>1.000000</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>1.00</td>\n",
+       "      <td>0.742640</td>\n",
+       "      <td>0.433633</td>\n",
+       "      <td>15.209541</td>\n",
+       "      <td>0.152095</td>\n",
+       "      <td>0.408921</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>5.798764</td>\n",
+       "      <td>5.798764</td>\n",
+       "      <td>0.619577</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>31</th>\n",
+       "      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n",
+       "      <td>1.02</td>\n",
+       "      <td>0.743648</td>\n",
+       "      <td>0.432905</td>\n",
+       "      <td>15.191022</td>\n",
+       "      <td>0.151910</td>\n",
+       "      <td>0.406897</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>5.778464</td>\n",
+       "      <td>5.778464</td>\n",
+       "      <td>0.620707</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32</th>\n",
+       "      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n",
+       "      <td>1.04</td>\n",
+       "      <td>0.744094</td>\n",
+       "      <td>0.432048</td>\n",
+       "      <td>15.051352</td>\n",
+       "      <td>0.150514</td>\n",
+       "      <td>0.406201</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.118270</td>\n",
+       "      <td>0.118270</td>\n",
+       "      <td>0.740314</td>\n",
+       "      <td>1.000000</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>1.06</td>\n",
+       "      <td>0.742650</td>\n",
+       "      <td>0.427543</td>\n",
+       "      <td>14.449131</td>\n",
+       "      <td>0.144491</td>\n",
+       "      <td>0.400141</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.176523</td>\n",
+       "      <td>0.176523</td>\n",
+       "      <td>0.737049</td>\n",
+       "      <td>1.000000</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>1.08</td>\n",
+       "      <td>0.740810</td>\n",
+       "      <td>0.420663</td>\n",
+       "      <td>13.933704</td>\n",
+       "      <td>0.139337</td>\n",
+       "      <td>0.396482</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.218888</td>\n",
+       "      <td>0.218888</td>\n",
+       "      <td>0.733908</td>\n",
+       "      <td>1.000000</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>1.10</td>\n",
+       "      <td>0.739269</td>\n",
+       "      <td>0.411121</td>\n",
+       "      <td>13.303738</td>\n",
+       "      <td>0.133037</td>\n",
+       "      <td>0.387096</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.138570</td>\n",
+       "      <td>0.138570</td>\n",
+       "      <td>0.734876</td>\n",
+       "      <td>1.000000</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>1.00</td>\n",
+       "      <td>0.724024</td>\n",
+       "      <td>0.406834</td>\n",
+       "      <td>13.565137</td>\n",
+       "      <td>0.135651</td>\n",
+       "      <td>0.386640</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.105914</td>\n",
+       "      <td>0.105914</td>\n",
+       "      <td>0.720726</td>\n",
+       "      <td>1.000000</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>1.02</td>\n",
+       "      <td>0.726310</td>\n",
+       "      <td>0.406491</td>\n",
+       "      <td>13.429876</td>\n",
+       "      <td>0.134299</td>\n",
+       "      <td>0.386370</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>6.238305</td>\n",
+       "      <td>6.238305</td>\n",
+       "      <td>0.599988</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38</th>\n",
+       "      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n",
+       "      <td>1.04</td>\n",
+       "      <td>0.727613</td>\n",
+       "      <td>0.405486</td>\n",
+       "      <td>13.295092</td>\n",
+       "      <td>0.132951</td>\n",
+       "      <td>0.385120</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.129744</td>\n",
+       "      <td>0.129744</td>\n",
+       "      <td>0.723562</td>\n",
+       "      <td>1.000000</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>1.06</td>\n",
+       "      <td>0.727687</td>\n",
+       "      <td>0.401473</td>\n",
+       "      <td>13.108608</td>\n",
+       "      <td>0.131086</td>\n",
+       "      <td>0.380495</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.207414</td>\n",
+       "      <td>0.207414</td>\n",
+       "      <td>0.721256</td>\n",
+       "      <td>1.000000</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>1.08</td>\n",
+       "      <td>0.726393</td>\n",
+       "      <td>0.398702</td>\n",
+       "      <td>12.850538</td>\n",
+       "      <td>0.128505</td>\n",
+       "      <td>0.378895</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.290380</td>\n",
+       "      <td>0.290380</td>\n",
+       "      <td>0.717474</td>\n",
+       "      <td>1.000000</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>1.10</td>\n",
+       "      <td>0.724401</td>\n",
+       "      <td>0.393224</td>\n",
+       "      <td>12.361162</td>\n",
+       "      <td>0.123612</td>\n",
+       "      <td>0.373341</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.150044</td>\n",
+       "      <td>0.150044</td>\n",
+       "      <td>0.719746</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                        model   rpp     comet    meteor  \\\n",
+       "0                     Qwen/Qwen2-72B-Instruct  1.00  0.757017  0.478921   \n",
+       "1                     Qwen/Qwen2-72B-Instruct  1.02  0.757358  0.479684   \n",
+       "2                     Qwen/Qwen2-72B-Instruct  1.04  0.757498  0.476363   \n",
+       "3                     Qwen/Qwen2-72B-Instruct  1.06  0.756385  0.467964   \n",
+       "4                     Qwen/Qwen2-72B-Instruct  1.08  0.755447  0.459758   \n",
+       "5                     Qwen/Qwen2-72B-Instruct  1.10  0.755010  0.451578   \n",
+       "6                      Qwen/Qwen2-7B-Instruct  1.00  0.745772  0.442241   \n",
+       "7                      Qwen/Qwen2-7B-Instruct  1.02  0.747408  0.440100   \n",
+       "8                      Qwen/Qwen2-7B-Instruct  1.04  0.748438  0.439014   \n",
+       "9                      Qwen/Qwen2-7B-Instruct  1.06  0.747161  0.432832   \n",
+       "10                     Qwen/Qwen2-7B-Instruct  1.08  0.745194  0.423561   \n",
+       "11                     Qwen/Qwen2-7B-Instruct  1.10  0.743207  0.413505   \n",
+       "12               internlm/internlm2_5-7b-chat  1.00  0.739700  0.429000   \n",
+       "13               internlm/internlm2_5-7b-chat  1.02  0.740224  0.426625   \n",
+       "14               internlm/internlm2_5-7b-chat  1.04  0.739886  0.415459   \n",
+       "15               internlm/internlm2_5-7b-chat  1.06  0.737936  0.403959   \n",
+       "16               internlm/internlm2_5-7b-chat  1.08  0.731999  0.387318   \n",
+       "17               internlm/internlm2_5-7b-chat  1.10  0.729535  0.376931   \n",
+       "18            microsoft/Phi-3.5-mini-instruct  1.00  0.710784  0.379683   \n",
+       "19            microsoft/Phi-3.5-mini-instruct  1.02  0.716477  0.378059   \n",
+       "20            microsoft/Phi-3.5-mini-instruct  1.04  0.711123  0.354716   \n",
+       "21            microsoft/Phi-3.5-mini-instruct  1.06  0.702436  0.329873   \n",
+       "22            microsoft/Phi-3.5-mini-instruct  1.08  0.688211  0.305454   \n",
+       "23            microsoft/Phi-3.5-mini-instruct  1.10  0.671299  0.290383   \n",
+       "24     shenzhi-wang/Llama3.1-70B-Chinese-Chat  1.00  0.750182  0.461111   \n",
+       "25     shenzhi-wang/Llama3.1-70B-Chinese-Chat  1.02  0.748511  0.457152   \n",
+       "26     shenzhi-wang/Llama3.1-70B-Chinese-Chat  1.04  0.750059  0.456047   \n",
+       "27     shenzhi-wang/Llama3.1-70B-Chinese-Chat  1.06  0.748813  0.452042   \n",
+       "28     shenzhi-wang/Llama3.1-70B-Chinese-Chat  1.08  0.747385  0.444211   \n",
+       "29     shenzhi-wang/Llama3.1-70B-Chinese-Chat  1.10  0.746571  0.437984   \n",
+       "30      shenzhi-wang/Llama3.1-8B-Chinese-Chat  1.00  0.742640  0.433633   \n",
+       "31      shenzhi-wang/Llama3.1-8B-Chinese-Chat  1.02  0.743648  0.432905   \n",
+       "32      shenzhi-wang/Llama3.1-8B-Chinese-Chat  1.04  0.744094  0.432048   \n",
+       "33      shenzhi-wang/Llama3.1-8B-Chinese-Chat  1.06  0.742650  0.427543   \n",
+       "34      shenzhi-wang/Llama3.1-8B-Chinese-Chat  1.08  0.740810  0.420663   \n",
+       "35      shenzhi-wang/Llama3.1-8B-Chinese-Chat  1.10  0.739269  0.411121   \n",
+       "36  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat  1.00  0.724024  0.406834   \n",
+       "37  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat  1.02  0.726310  0.406491   \n",
+       "38  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat  1.04  0.727613  0.405486   \n",
+       "39  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat  1.06  0.727687  0.401473   \n",
+       "40  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat  1.08  0.726393  0.398702   \n",
+       "41  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat  1.10  0.724401  0.393224   \n",
+       "\n",
+       "       spbleu    bleu_1   rouge_l  ews_score  repetition_score  \\\n",
+       "0   18.953782  0.189538  0.452094        0.0          0.098853   \n",
+       "1   19.013749  0.190137  0.452046        0.0          0.081200   \n",
+       "2   18.520633  0.185206  0.448904        0.0          0.105031   \n",
+       "3   17.982474  0.179825  0.441062        0.0          0.073257   \n",
+       "4   17.067954  0.170680  0.431750        0.0          0.047661   \n",
+       "5   16.224522  0.162245  0.424208        0.0          0.057370   \n",
+       "6   14.388149  0.143881  0.416055        0.0         12.812886   \n",
+       "7   15.161723  0.151617  0.416075        0.0          7.156222   \n",
+       "8   14.958632  0.149586  0.413811        0.0          0.185349   \n",
+       "9   14.280874  0.142809  0.406907        0.0          0.203001   \n",
+       "10  13.659684  0.136597  0.396632        0.0          0.221536   \n",
+       "11  12.922650  0.129226  0.387619        0.0          0.177405   \n",
+       "12  14.734882  0.147349  0.409647        0.0         12.751103   \n",
+       "13  14.583817  0.145838  0.407173        0.0          9.824360   \n",
+       "14  13.534659  0.135347  0.396866        0.0          6.527802   \n",
+       "15  12.346741  0.123467  0.387245        0.0          6.533981   \n",
+       "16  11.075675  0.110757  0.372435        0.0          9.820830   \n",
+       "17  10.305164  0.103052  0.363450        0.0          6.525154   \n",
+       "18   8.712969  0.087130  0.358987        0.0         28.426302   \n",
+       "19  10.291240  0.102912  0.354695        0.0         10.696381   \n",
+       "20   8.966882  0.089669  0.330098        0.0          3.748455   \n",
+       "21   7.076233  0.070762  0.301951        0.0          0.107679   \n",
+       "22   5.105511  0.051055  0.273603        0.0          3.295675   \n",
+       "23   4.091959  0.040920  0.251653        0.0          0.077670   \n",
+       "24  17.879150  0.178791  0.434066        0.0          0.088261   \n",
+       "25  17.436885  0.174369  0.431139        0.0          0.092674   \n",
+       "26  17.440173  0.174402  0.430284        0.0          0.130627   \n",
+       "27  16.895233  0.168952  0.426003        0.0          0.125331   \n",
+       "28  16.166238  0.161662  0.419513        0.0          0.187114   \n",
+       "29  15.601723  0.156017  0.413256        0.0          0.086496   \n",
+       "30  15.209541  0.152095  0.408921        0.0          5.798764   \n",
+       "31  15.191022  0.151910  0.406897        0.0          5.778464   \n",
+       "32  15.051352  0.150514  0.406201        0.0          0.118270   \n",
+       "33  14.449131  0.144491  0.400141        0.0          0.176523   \n",
+       "34  13.933704  0.139337  0.396482        0.0          0.218888   \n",
+       "35  13.303738  0.133037  0.387096        0.0          0.138570   \n",
+       "36  13.565137  0.135651  0.386640        0.0          0.105914   \n",
+       "37  13.429876  0.134299  0.386370        0.0          6.238305   \n",
+       "38  13.295092  0.132951  0.385120        0.0          0.129744   \n",
+       "39  13.108608  0.131086  0.380495        0.0          0.207414   \n",
+       "40  12.850538  0.128505  0.378895        0.0          0.290380   \n",
+       "41  12.361162  0.123612  0.373341        0.0          0.150044   \n",
+       "\n",
+       "    total_repetitions       rap  translation_completeness  \\\n",
+       "0            0.098853  0.753797                  1.000000   \n",
+       "1            0.081200  0.754707                  1.000000   \n",
+       "2            0.105031  0.754077                  1.000000   \n",
+       "3            0.073257  0.753995                  1.000000   \n",
+       "4            0.047661  0.753890                  1.000000   \n",
+       "5            0.057370  0.753139                  1.000000   \n",
+       "6           12.812886  0.549097                  0.994704   \n",
+       "7            7.156222  0.605472                  0.994704   \n",
+       "8            0.185349  0.742515                  0.999117   \n",
+       "9            0.203001  0.740697                  0.998235   \n",
+       "10           0.221536  0.738169                  1.000000   \n",
+       "11           0.177405  0.737574                  1.000000   \n",
+       "12          12.751103  0.545098                  1.000000   \n",
+       "13           9.824360  0.570632                  1.000000   \n",
+       "14           6.527802  0.607352                  1.000000   \n",
+       "15           6.533981  0.605671                  0.999117   \n",
+       "16           9.820830  0.564325                  0.999117   \n",
+       "17           6.525154  0.598890                  0.999117   \n",
+       "18          28.426302  0.448549                  1.000000   \n",
+       "19          10.696381  0.544479                  1.000000   \n",
+       "20           3.748455  0.624749                  1.000000   \n",
+       "21           0.107679  0.699184                  1.000000   \n",
+       "22           3.295675  0.612445                  1.000000   \n",
+       "23           0.077670  0.669051                  1.000000   \n",
+       "24           0.088261  0.747330                  1.000000   \n",
+       "25           0.092674  0.745525                  1.000000   \n",
+       "26           0.130627  0.745855                  1.000000   \n",
+       "27           0.125331  0.744784                  1.000000   \n",
+       "28           0.187114  0.741416                  1.000000   \n",
+       "29           0.086496  0.743789                  1.000000   \n",
+       "30           5.798764  0.619577                  1.000000   \n",
+       "31           5.778464  0.620707                  1.000000   \n",
+       "32           0.118270  0.740314                  1.000000   \n",
+       "33           0.176523  0.737049                  1.000000   \n",
+       "34           0.218888  0.733908                  1.000000   \n",
+       "35           0.138570  0.734876                  1.000000   \n",
+       "36           0.105914  0.720726                  1.000000   \n",
+       "37           6.238305  0.599988                  1.000000   \n",
+       "38           0.129744  0.723562                  1.000000   \n",
+       "39           0.207414  0.721256                  1.000000   \n",
+       "40           0.290380  0.717474                  1.000000   \n",
+       "41           0.150044  0.719746                  1.000000   \n",
+       "\n",
+       "    num_max_output_tokens  \n",
+       "0                       0  \n",
+       "1                       0  \n",
+       "2                       0  \n",
+       "3                       0  \n",
+       "4                       0  \n",
+       "5                       0  \n",
+       "6                       2  \n",
+       "7                       1  \n",
+       "8                       0  \n",
+       "9                       0  \n",
+       "10                      0  \n",
+       "11                      0  \n",
+       "12                      2  \n",
+       "13                      1  \n",
+       "14                      1  \n",
+       "15                      1  \n",
+       "16                      1  \n",
+       "17                      1  \n",
+       "18                      6  \n",
+       "19                      2  \n",
+       "20                      1  \n",
+       "21                      0  \n",
+       "22                      1  \n",
+       "23                      0  \n",
+       "24                      0  \n",
+       "25                      0  \n",
+       "26                      0  \n",
+       "27                      0  \n",
+       "28                      0  \n",
+       "29                      0  \n",
+       "30                      1  \n",
+       "31                      1  \n",
+       "32                      0  \n",
+       "33                      0  \n",
+       "34                      0  \n",
+       "35                      0  \n",
+       "36                      0  \n",
+       "37                      1  \n",
+       "38                      0  \n",
+       "39                      0  \n",
+       "40                      0  \n",
+       "41                      0  "
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "variant = \"rpp\"\n",
+    "metrics_df = get_metrics(\n",
+    "    df,\n",
+    "    max_output_tokens=max_new_tokens,\n",
+    "    variant=variant,\n",
+    "    existing_metrics_df=metrics_df,\n",
+    ")\n",
+    "metrics_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "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>comet</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>translation_completeness</th>\n",
+       "      <th>num_max_output_tokens</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>42.000000</td>\n",
+       "      <td>42.000000</td>\n",
+       "      <td>42.000000</td>\n",
+       "      <td>42.000000</td>\n",
+       "      <td>42.000000</td>\n",
+       "      <td>42.0</td>\n",
+       "      <td>42.000000</td>\n",
+       "      <td>42.000000</td>\n",
+       "      <td>42.000000</td>\n",
+       "      <td>42.000000</td>\n",
+       "      <td>42.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>0.736585</td>\n",
+       "      <td>0.418134</td>\n",
+       "      <td>13.836401</td>\n",
+       "      <td>0.138364</td>\n",
+       "      <td>0.393948</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>3.324213</td>\n",
+       "      <td>3.324213</td>\n",
+       "      <td>0.680606</td>\n",
+       "      <td>0.999622</td>\n",
+       "      <td>0.547619</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>0.018671</td>\n",
+       "      <td>0.042615</td>\n",
+       "      <td>3.443285</td>\n",
+       "      <td>0.034433</td>\n",
+       "      <td>0.043012</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>5.606206</td>\n",
+       "      <td>5.606206</td>\n",
+       "      <td>0.081233</td>\n",
+       "      <td>0.001172</td>\n",
+       "      <td>1.063872</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>0.671299</td>\n",
+       "      <td>0.290383</td>\n",
+       "      <td>4.091959</td>\n",
+       "      <td>0.040920</td>\n",
+       "      <td>0.251653</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.047661</td>\n",
+       "      <td>0.047661</td>\n",
+       "      <td>0.448549</td>\n",
+       "      <td>0.994704</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>0.727631</td>\n",
+       "      <td>0.402094</td>\n",
+       "      <td>12.868566</td>\n",
+       "      <td>0.128686</td>\n",
+       "      <td>0.381652</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.106355</td>\n",
+       "      <td>0.106355</td>\n",
+       "      <td>0.608625</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>0.742645</td>\n",
+       "      <td>0.427084</td>\n",
+       "      <td>14.334512</td>\n",
+       "      <td>0.143345</td>\n",
+       "      <td>0.403171</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.186231</td>\n",
+       "      <td>0.186231</td>\n",
+       "      <td>0.722409</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>0.748180</td>\n",
+       "      <td>0.443718</td>\n",
+       "      <td>16.025109</td>\n",
+       "      <td>0.160251</td>\n",
+       "      <td>0.418653</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>6.128420</td>\n",
+       "      <td>6.128420</td>\n",
+       "      <td>0.743471</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>0.757498</td>\n",
+       "      <td>0.479684</td>\n",
+       "      <td>19.013749</td>\n",
+       "      <td>0.190137</td>\n",
+       "      <td>0.452094</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>28.426302</td>\n",
+       "      <td>28.426302</td>\n",
+       "      <td>0.754707</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>6.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           comet     meteor     spbleu     bleu_1    rouge_l  ews_score  \\\n",
+       "count  42.000000  42.000000  42.000000  42.000000  42.000000       42.0   \n",
+       "mean    0.736585   0.418134  13.836401   0.138364   0.393948        0.0   \n",
+       "std     0.018671   0.042615   3.443285   0.034433   0.043012        0.0   \n",
+       "min     0.671299   0.290383   4.091959   0.040920   0.251653        0.0   \n",
+       "25%     0.727631   0.402094  12.868566   0.128686   0.381652        0.0   \n",
+       "50%     0.742645   0.427084  14.334512   0.143345   0.403171        0.0   \n",
+       "75%     0.748180   0.443718  16.025109   0.160251   0.418653        0.0   \n",
+       "max     0.757498   0.479684  19.013749   0.190137   0.452094        0.0   \n",
+       "\n",
+       "       repetition_score  total_repetitions        rap  \\\n",
+       "count         42.000000          42.000000  42.000000   \n",
+       "mean           3.324213           3.324213   0.680606   \n",
+       "std            5.606206           5.606206   0.081233   \n",
+       "min            0.047661           0.047661   0.448549   \n",
+       "25%            0.106355           0.106355   0.608625   \n",
+       "50%            0.186231           0.186231   0.722409   \n",
+       "75%            6.128420           6.128420   0.743471   \n",
+       "max           28.426302          28.426302   0.754707   \n",
+       "\n",
+       "       translation_completeness  num_max_output_tokens  \n",
+       "count                 42.000000              42.000000  \n",
+       "mean                   0.999622               0.547619  \n",
+       "std                    0.001172               1.063872  \n",
+       "min                    0.994704               0.000000  \n",
+       "25%                    1.000000               0.000000  \n",
+       "50%                    1.000000               0.000000  \n",
+       "75%                    1.000000               1.000000  \n",
+       "max                    1.000000               6.000000  "
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "metrics_df.to_csv(metrics_path, index=False)\n",
+    "metrics_df.describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "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'], dtype=object)"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "models = metrics_df[\"model\"].unique()\n",
+    "models"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# list of markers for plotting\n",
+    "markers = [\n",
+    "    \"o\",\n",
+    "    \"x\",\n",
+    "    \"^\",\n",
+    "    \"s\",\n",
+    "    \"d\",\n",
+    "    \"P\",\n",
+    "    \"X\",\n",
+    "    \"*\",\n",
+    "    \"v\",\n",
+    "    \">\",\n",
+    "    \"<\",\n",
+    "    \"p\",\n",
+    "    \"h\",\n",
+    "    \"H\",\n",
+    "    \"+\",\n",
+    "    \"|\",\n",
+    "    \"_\",\n",
+    "]\n",
+    "markers = {model: marker for model, marker in zip(models, markers)}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "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": 15,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# plot mtr vs rpp\n",
+    "import matplotlib.pyplot as plt\n",
+    "import matplotlib.ticker as ticker\n",
+    "\n",
+    "\n",
+    "def plot_metrics_vs_rpp(\n",
+    "    metrics_df,\n",
+    "    models,\n",
+    "    markers,\n",
+    "    columns,\n",
+    "    titles,\n",
+    "    log_scales=[False, False],\n",
+    "    sync_y_axis=False,\n",
+    "):\n",
+    "    fig, ax = plt.subplots(figsize=(10, 6))\n",
+    "    # set grid\n",
+    "    ax.grid(True)\n",
+    "    ax.set_axisbelow(True)\n",
+    "    ax.minorticks_on()\n",
+    "    ax.grid(which=\"major\", linestyle=\"-\", linewidth=\"0.5\", color=\"red\")\n",
+    "\n",
+    "    # Create a mapping from original x-values to new, evenly spaced x-values\n",
+    "    original_x_values = sorted(metrics_df[variant].unique())\n",
+    "    new_x_values = range(len(original_x_values))\n",
+    "    x_mapping = dict(zip(original_x_values, new_x_values))\n",
+    "\n",
+    "    if len(columns) > 1:\n",
+    "        twin = ax.twinx()\n",
+    "\n",
+    "    for model in models:\n",
+    "        model_df = metrics_df[metrics_df[\"model\"] == model]\n",
+    "        transformed_x = [x_mapping[x] for x in model_df[variant]]\n",
+    "        for i, column in enumerate(columns):\n",
+    "            current_ax = twin if i > 0 else ax\n",
+    "            current_ax.plot(\n",
+    "                transformed_x,\n",
+    "                model_df[column],\n",
+    "                label=model + f\" [{titles[i]}]\" if titles else \"\",\n",
+    "                marker=markers[model],\n",
+    "                linestyle=\"--\" if i > 0 else \"-\",\n",
+    "            )\n",
+    "            current_ax.set_ylabel(titles[i])\n",
+    "            if log_scales[i]:\n",
+    "                current_ax.set_yscale(\"log\")\n",
+    "\n",
+    "    if sync_y_axis:\n",
+    "        ax.set_ylim(\n",
+    "            min(ax.get_ylim()[0], twin.get_ylim()[0]),\n",
+    "            max(ax.get_ylim()[1], twin.get_ylim()[1]),\n",
+    "        )\n",
+    "        twin.set_ylim(ax.get_ylim())\n",
+    "\n",
+    "    # Set the x-axis ticks to be evenly spaced\n",
+    "    ax.xaxis.set_major_locator(ticker.FixedLocator(new_x_values))\n",
+    "\n",
+    "    # Set custom labels for the ticks\n",
+    "    ax.xaxis.set_major_formatter(ticker.FixedFormatter(original_x_values))\n",
+    "\n",
+    "    # ax.set_ylim(0, 1)\n",
+    "    ax.set_xlabel(\"Repetition Penalty Parameter (RPP)\")\n",
+    "    handles, labels = ax.get_legend_handles_labels()\n",
+    "\n",
+    "    if len(columns) > 1:\n",
+    "        handles_twin, labels_twin = twin.get_legend_handles_labels()\n",
+    "        handles += handles_twin\n",
+    "        labels += labels_twin\n",
+    "\n",
+    "    # Sort the handles and labels by labels\n",
+    "    sorted_handles_labels = sorted(\n",
+    "        zip(labels, handles), key=lambda x: model_orders[x[0].split(\" \")[0]]\n",
+    "    )\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, -0.75 if len(columns) > 1 else -0.435),\n",
+    "    )\n",
+    "\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_metrics_vs_rpp(\n",
+    "    metrics_df,\n",
+    "    models,\n",
+    "    markers,\n",
+    "    [\"comet\", \"rap\"],\n",
+    "    [\"COMET\", \"RAP-COMET\"],\n",
+    "    sync_y_axis=True,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_metrics_vs_rpp(\n",
+    "    metrics_df,\n",
+    "    models,\n",
+    "    markers,\n",
+    "    [\"comet\"],\n",
+    "    [\"COMET\"],\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_metrics_vs_rpp(\n",
+    "    metrics_df,\n",
+    "    models,\n",
+    "    markers,\n",
+    "    [\"comet\", \"meteor\"],\n",
+    "    [\"COMET\", \"METEOR\"],\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_metrics_vs_rpp(\n",
+    "    metrics_df,\n",
+    "    models,\n",
+    "    markers,\n",
+    "    [\"comet\", \"total_repetitions\"],\n",
+    "    [\"COMET\", \"Mean Total Repetitions\"],\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_metrics_vs_rpp(\n",
+    "    metrics_df,\n",
+    "    models,\n",
+    "    markers,\n",
+    "    [\"num_max_output_tokens\", \"total_repetitions\"],\n",
+    "    [\"Number of Answers with Max Output Tokens\", \"Mean Total Repetitions\"],\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "### Analyzing: Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.00\n",
+      "*** Found 0 rows with total_repetitions > 50 for Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.00\n",
+      "\n",
+      "*** Found 0 rows with output_tokens >= 2048 for Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.00\n",
+      "\n",
+      "*** Found 0 rows with incomplete translations for Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.00\n",
+      "### Analyzing: Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.02\n",
+      "*** Found 0 rows with total_repetitions > 50 for Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.02\n",
+      "\n",
+      "*** Found 0 rows with output_tokens >= 2048 for Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.02\n",
+      "\n",
+      "*** Found 0 rows with incomplete translations for Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.02\n",
+      "### Analyzing: Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.04\n",
+      "*** Found 0 rows with total_repetitions > 50 for Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.04\n",
+      "\n",
+      "*** Found 0 rows with output_tokens >= 2048 for Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.04\n",
+      "\n",
+      "*** Found 0 rows with incomplete translations for Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.04\n",
+      "### Analyzing: Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.06\n",
+      "*** Found 0 rows with total_repetitions > 50 for Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.06\n",
+      "\n",
+      "*** Found 0 rows with output_tokens >= 2048 for Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.06\n",
+      "\n",
+      "*** Found 0 rows with incomplete translations for Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.06\n",
+      "### Analyzing: Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.08\n",
+      "*** Found 0 rows with total_repetitions > 50 for Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.08\n",
+      "\n",
+      "*** Found 0 rows with output_tokens >= 2048 for Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.08\n",
+      "\n",
+      "*** Found 0 rows with incomplete translations for Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.08\n",
+      "### Analyzing: Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.10\n",
+      "*** Found 0 rows with total_repetitions > 50 for Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.10\n",
+      "\n",
+      "*** Found 0 rows with output_tokens >= 2048 for Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.10\n",
+      "\n",
+      "*** Found 0 rows with incomplete translations for Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.10\n",
+      "### Analyzing: Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00\n",
+      "*** Found 3 rows with total_repetitions > 50 for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00\n",
+      "钱老板道：“正是。 沐王府小公爷的嫡亲妹子。\n",
+      "================================================================================\n",
+      "'Young Lord Mu's little sister,' said Butcher Qian.\n",
+      "================================================================================\n",
+      "'Yes,' said Butcher Qian, 'it's the real thing. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right.\n",
+      "================================================================================\n",
+      "----detect excessive whitespaces----\n",
+      "----detect text repetitions----\n",
+      "<re.Match object; span=(46, 7920), match=\". It's the real thing all right. It's the real th>\n",
+      "Group 1 found at 46-3983: `. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right`\n",
+      "Group 2 found at 3983-7920: `. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right`\n",
+      "Group 3 found at 3983-7920: `. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right`\n",
+      "(0, 7874, 7874)\n",
+      "短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n",
+      "================================================================================\n",
+      "short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n",
+      "================================================================================\n",
+      "Short, long, long, long, short, long, long, long, short, short, short, short, long, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, long, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, long, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, long, 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, 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, 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, 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, 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, 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, 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, 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, 72), match='hort, short, short, s'>\n",
+      "Group 1 found at 51-58: `hort, s`\n",
+      "Group 2 found at 65-72: `hort, s`\n",
+      "Group 3 found at 65-72: `hort, s`\n",
+      "<re.Match object; span=(72, 536), match='hort, long, long, long, long, short, short, short>\n",
+      "Group 1 found at 72-304: `hort, long, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, long, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, s`\n",
+      "Group 2 found at 304-536: `hort, long, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, long, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, s`\n",
+      "Group 3 found at 304-536: `hort, long, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, long, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, s`\n",
+      "<re.Match object; span=(536, 6620), match='hort, short, long, long, long, short, short, shor>\n",
+      "Group 1 found at 536-3578: `hort, 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, 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, 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, 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, s`\n",
+      "Group 2 found at 3578-6620: `hort, 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, 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, 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, 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, s`\n",
+      "Group 3 found at 3578-6620: `hort, 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, 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, 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, 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, s`\n",
+      "<re.Match object; span=(6631, 6649), match=', long, long, long'>\n",
+      "Group 1 found at 6631-6637: `, long`\n",
+      "Group 2 found at 6643-6649: `, long`\n",
+      "Group 3 found at 6643-6649: `, long`\n",
+      "(0, 6637, 6637)\n",
+      "老头子跪在地上，哀求道：“八路老爷饶命，八路老爷饶命……”\n",
+      "================================================================================\n",
+      "He rose to his knees and begged, 'Spare me, Eighth Route Master, spare me!'\n",
+      "================================================================================\n",
+      "The old man knelt on the ground, imploringly: 'Please, Eighth Route Army, don't kill me! Please, Eighth Route Army, don't kill me!'\n",
+      "================================================================================\n",
+      "----detect excessive whitespaces----\n",
+      "----detect text repetitions----\n",
+      "<re.Match object; span=(47, 130), match=\"Please, Eighth Route Army, don't kill me! Please,>\n",
+      "Group 1 found at 47-88: `Please, Eighth Route Army, don't kill me!`\n",
+      "Group 2 found at 89-130: `Please, Eighth Route Army, don't kill me!`\n",
+      "Group 3 found at 89-130: `Please, Eighth Route Army, don't kill me!`\n",
+      "(0, 83, 83)\n",
+      "\n",
+      "*** Found 2 rows with output_tokens >= 2048 for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00\n",
+      "--------------------------------------------------\n",
+      "chinese: 钱老板道：“正是。 沐王府小公爷的嫡亲妹子。\n",
+      "--------------------------------------------------\n",
+      "english: 'Young Lord Mu's little sister,' said Butcher Qian.\n",
+      "--------------------------------------------------\n",
+      "Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00: 'Yes,' said Butcher Qian, 'it's the real thing. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right.\n",
+      "--------------------------------------------------\n",
+      "output_tokens-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00: 2048\n",
+      "--------------------------------------------------\n",
+      "chinese: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n",
+      "--------------------------------------------------\n",
+      "english: short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n",
+      "--------------------------------------------------\n",
+      "Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00: Short, long, long, long, short, long, long, long, short, short, short, short, long, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, long, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, long, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, long, 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, 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, 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, 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, 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, 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, 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, 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-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00: 2048\n",
+      "\n",
+      "*** Found 6 rows with incomplete translations for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00\n",
+      "--------------------------------------------------\n",
+      "chinese: 韦小宝脸皮再厚，也知自己的武功实在太不高明，说道：“老乌龟教我的都是假功夫。\n",
+      "--------------------------------------------------\n",
+      "english: However immune to self-criticism Trinket might be, he knew that what he liked to call his Martial Arts training was really a joke. 'The Old Devil only pretended to teach me,' he said.\n",
+      "--------------------------------------------------\n",
+      "Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00: Trinket knew that his own武功实在不高明, and that Old Devil Trinket had taught him nothing but fake kungfu.\n",
+      "--------------------------------------------------\n",
+      "count_chinese_characters-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00: 1\n",
+      "--------------------------------------------------\n",
+      "chinese: 薛蟠连忙打恭作揖赔不是，又求：“别难为了小子，都是我央及他去的。”\n",
+      "--------------------------------------------------\n",
+      "english: Xue Pan was by this time being apologetic — bowing repeatedly and pumping his hands to show how sorry he was: 'Don't blame the lad!' he said. 'It wasn't his fault. I talked him into it.'\n",
+      "--------------------------------------------------\n",
+      "Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00: Xue Pan hurriedly made a low bow and a respectful揖, and apologized profusely. 'Don't be too hard on the poor boy. It was all my doing.'\n",
+      "--------------------------------------------------\n",
+      "count_chinese_characters-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00: 1\n",
+      "--------------------------------------------------\n",
+      "chinese: 这阴沉气有时是东西厢房的薰衣草气味，有时是樟脑丸气味，还有时是肉砧板上的气味。\n",
+      "--------------------------------------------------\n",
+      "english: This murky air sometimes smells like lavender in a bedroom, sometimes like mothballs, and at other times like a kitchen chopping block.\n",
+      "--------------------------------------------------\n",
+      "Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00: This gloomy air sometimes smelled like lavender in the east and west wings, sometimes like樟脑 balls, and sometimes like the meat cleaver.\n",
+      "--------------------------------------------------\n",
+      "count_chinese_characters-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00: 1\n",
+      "--------------------------------------------------\n",
+      "chinese: 在我看来，义气就是江湖好汉中那种伟大友谊。\n",
+      "--------------------------------------------------\n",
+      "english: In my opinion, brotherhood was the kind of great friendship that only existed among the outlaws of the forest.\n",
+      "--------------------------------------------------\n",
+      "Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00: To me, loyalty is the great friendship among the heroes of the江湖.\n",
+      "--------------------------------------------------\n",
+      "count_chinese_characters-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00: 1\n",
+      "--------------------------------------------------\n",
+      "chinese: 俗语说的：‘千里搭长棚——没有个不散的筵席。’\n",
+      "--------------------------------------------------\n",
+      "english: 'You know what they said about the mile-wide marquee: 'Even the longest party must have an end'?\n",
+      "--------------------------------------------------\n",
+      "Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00: The saying goes: 'Even a long tent搭ed up for a thousand miles will not last forever.'\n",
+      "--------------------------------------------------\n",
+      "count_chinese_characters-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00: 1\n",
+      "--------------------------------------------------\n",
+      "chinese: 轿夫抬轿从街上走，迈的都是八字步，号称“踩街”，这一方面是为讨主家欢喜，多得些赏钱； 另一方面，是为了显示一种优雅的职业风度。\n",
+      "--------------------------------------------------\n",
+      "english: As the bearers carried their load down the path, their feet left a series of V imprints known as 'tramples' in the dirt, for which satisfied clients usually rewarded them, and which fortified the bearers' pride of profession.\n",
+      "--------------------------------------------------\n",
+      "Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00: The bearers walked in a八字 step, which they called 'walking the street.' This was partly to please the master of the wedding and get more money, and partly to show off their elegant professional style.\n",
+      "--------------------------------------------------\n",
+      "count_chinese_characters-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00: 1\n",
+      "### Analyzing: Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02\n",
+      "*** Found 2 rows with total_repetitions > 50 for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02\n",
+      "钱老板道：“正是。 沐王府小公爷的嫡亲妹子。\n",
+      "================================================================================\n",
+      "'Young Lord Mu's little sister,' said Butcher Qian.\n",
+      "================================================================================\n",
+      "'Yes,' said Butcher Qian, 'it's the real thing. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right.\n",
+      "================================================================================\n",
+      "----detect excessive whitespaces----\n",
+      "----detect text repetitions----\n",
+      "<re.Match object; span=(46, 7920), match=\". It's the real thing all right. It's the real th>\n",
+      "Group 1 found at 46-3983: `. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right`\n",
+      "Group 2 found at 3983-7920: `. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right`\n",
+      "Group 3 found at 3983-7920: `. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right`\n",
+      "(0, 7874, 7874)\n",
+      "老头子跪在地上，哀求道：“八路老爷饶命，八路老爷饶命……”\n",
+      "================================================================================\n",
+      "He rose to his knees and begged, 'Spare me, Eighth Route Master, spare me!'\n",
+      "================================================================================\n",
+      "The old man knelt on the ground and begged for mercy: 'Eight Road gentleman, please spare my life! Eight Road gentleman, please spare my life!'\n",
+      "================================================================================\n",
+      "----detect excessive whitespaces----\n",
+      "----detect text repetitions----\n",
+      "<re.Match object; span=(55, 142), match='Eight Road gentleman, please spare my life! Eight>\n",
+      "Group 1 found at 55-98: `Eight Road gentleman, please spare my life!`\n",
+      "Group 2 found at 99-142: `Eight Road gentleman, please spare my life!`\n",
+      "Group 3 found at 99-142: `Eight Road gentleman, please spare my life!`\n",
+      "(0, 87, 87)\n",
+      "\n",
+      "*** Found 1 rows with output_tokens >= 2048 for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02\n",
+      "--------------------------------------------------\n",
+      "chinese: 钱老板道：“正是。 沐王府小公爷的嫡亲妹子。\n",
+      "--------------------------------------------------\n",
+      "english: 'Young Lord Mu's little sister,' said Butcher Qian.\n",
+      "--------------------------------------------------\n",
+      "Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02: 'Yes,' said Butcher Qian, 'it's the real thing. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right.\n",
+      "--------------------------------------------------\n",
+      "output_tokens-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02: 2048\n",
+      "\n",
+      "*** Found 6 rows with incomplete translations for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02\n",
+      "--------------------------------------------------\n",
+      "chinese: 韦小宝脸皮再厚，也知自己的武功实在太不高明，说道：“老乌龟教我的都是假功夫。\n",
+      "--------------------------------------------------\n",
+      "english: However immune to self-criticism Trinket might be, he knew that what he liked to call his Martial Arts training was really a joke. 'The Old Devil only pretended to teach me,' he said.\n",
+      "--------------------------------------------------\n",
+      "Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02: 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",
+      "count_chinese_characters-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02: 1\n",
+      "--------------------------------------------------\n",
+      "chinese: 这阴沉气有时是东西厢房的薰衣草气味，有时是樟脑丸气味，还有时是肉砧板上的气味。\n",
+      "--------------------------------------------------\n",
+      "english: This murky air sometimes smells like lavender in a bedroom, sometimes like mothballs, and at other times like a kitchen chopping block.\n",
+      "--------------------------------------------------\n",
+      "Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02: This gloomy air sometimes smelled like lavender in the east and west wings, sometimes like樟脑 balls, and sometimes like the meat cleaver.\n",
+      "--------------------------------------------------\n",
+      "count_chinese_characters-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02: 1\n",
+      "--------------------------------------------------\n",
+      "chinese: 在我看来，义气就是江湖好汉中那种伟大友谊。\n",
+      "--------------------------------------------------\n",
+      "english: In my opinion, brotherhood was the kind of great friendship that only existed among the outlaws of the forest.\n",
+      "--------------------------------------------------\n",
+      "Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02: To me, loyalty is the great friendship among the heroes of the江湖.\n",
+      "--------------------------------------------------\n",
+      "count_chinese_characters-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02: 1\n",
+      "--------------------------------------------------\n",
+      "chinese: 俗语说的：‘千里搭长棚——没有个不散的筵席。’\n",
+      "--------------------------------------------------\n",
+      "english: 'You know what they said about the mile-wide marquee: 'Even the longest party must have an end'?\n",
+      "--------------------------------------------------\n",
+      "Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02: The saying goes: 'Even a long tent搭ed up for a thousand miles must eventually come down.'\n",
+      "--------------------------------------------------\n",
+      "count_chinese_characters-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02: 1\n",
+      "--------------------------------------------------\n",
+      "chinese: 轿夫抬轿从街上走，迈的都是八字步，号称“踩街”，这一方面是��讨主家欢喜，多得些赏钱； 另一方面，是为了显示一种优雅的职业风度。\n",
+      "--------------------------------------------------\n",
+      "english: As the bearers carried their load down the path, their feet left a series of V imprints known as 'tramples' in the dirt, for which satisfied clients usually rewarded them, and which fortified the bearers' pride of profession.\n",
+      "--------------------------------------------------\n",
+      "Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02: The bearers walked in a八字 step, which they called 'walking the street.' This was partly to please their patrons and earn more money, and partly to show off their elegant professional deportment.\n",
+      "--------------------------------------------------\n",
+      "count_chinese_characters-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02: 1\n",
+      "--------------------------------------------------\n",
+      "chinese: 因见上面大旨不过谈情，亦只是实录其事，绝无伤时诲淫之病，方从头至尾抄写回来，闻世传奇。\n",
+      "--------------------------------------------------\n",
+      "english: He could see that its main theme was love; that it consisted quite simply of a true record of real events; and that it was entirely free from any tendency to deprave and corrupt. He therefore copied it all out from beginning to end and took it back with him to look for a publisher.\n",
+      "--------------------------------------------------\n",
+      "Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02: He found that the whole book was concerned with love and romance, and that it was written in a straightforward, unadorned style, without a hint of诲淫. He therefore copied out the whole thing, and it was published as a popular romance.\n",
+      "--------------------------------------------------\n",
+      "count_chinese_characters-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02: 1\n",
+      "### Analyzing: Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.04\n",
+      "*** Found 1 rows with total_repetitions > 50 for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.04\n",
+      "老头子跪在地上，哀求道：“八路老爷饶命，八路老爷饶命……”\n",
+      "================================================================================\n",
+      "He rose to his knees and begged, 'Spare me, Eighth Route Master, spare me!'\n",
+      "================================================================================\n",
+      "The old man knelt on the ground and begged for mercy: 'Eight Road gentleman, please spare my life! Eight Road gentleman, please spare my life!'\n",
+      "================================================================================\n",
+      "----detect excessive whitespaces----\n",
+      "----detect text repetitions----\n",
+      "<re.Match object; span=(55, 142), match='Eight Road gentleman, please spare my life! Eight>\n",
+      "Group 1 found at 55-98: `Eight Road gentleman, please spare my life!`\n",
+      "Group 2 found at 99-142: `Eight Road gentleman, please spare my life!`\n",
+      "Group 3 found at 99-142: `Eight Road gentleman, please spare my life!`\n",
+      "(0, 87, 87)\n",
+      "\n",
+      "*** Found 0 rows with output_tokens >= 2048 for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.04\n",
+      "\n",
+      "*** Found 1 rows with incomplete translations for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.04\n",
+      "--------------------------------------------------\n",
+      "chinese: 轿夫抬轿从街上走，迈的都是八字步，号称“踩街”，这一方面是为讨主家欢喜，多得些赏钱； 另一方面，是为了显示一种优雅的职业风度。\n",
+      "--------------------------------------------------\n",
+      "english: As the bearers carried their load down the path, their feet left a series of V imprints known as 'tramples' in the dirt, for which satisfied clients usually rewarded them, and which fortified the bearers' pride of profession.\n",
+      "--------------------------------------------------\n",
+      "Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.04: The bearers walked in a八字 step, which they called 'walking the street.' This was partly to please their patrons and earn more money, but also to show off their elegant professional style.\n",
+      "--------------------------------------------------\n",
+      "count_chinese_characters-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.04: 1\n",
+      "### Analyzing: Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.06\n",
+      "*** Found 1 rows with total_repetitions > 50 for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.06\n",
+      "老头子跪在地上，哀求道：“八路老爷饶命，八路老爷饶命……”\n",
+      "================================================================================\n",
+      "He rose to his knees and begged, 'Spare me, Eighth Route Master, spare me!'\n",
+      "================================================================================\n",
+      "The old man knelt on the ground and begged for mercy: 'Eight Road gentleman, please spare my life! Eight Road gentleman, please spare my life!'\n",
+      "================================================================================\n",
+      "----detect excessive whitespaces----\n",
+      "----detect text repetitions----\n",
+      "<re.Match object; span=(55, 142), match='Eight Road gentleman, please spare my life! Eight>\n",
+      "Group 1 found at 55-98: `Eight Road gentleman, please spare my life!`\n",
+      "Group 2 found at 99-142: `Eight Road gentleman, please spare my life!`\n",
+      "Group 3 found at 99-142: `Eight Road gentleman, please spare my life!`\n",
+      "(0, 87, 87)\n",
+      "\n",
+      "*** Found 0 rows with output_tokens >= 2048 for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.06\n",
+      "\n",
+      "*** Found 2 rows with incomplete translations for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.06\n",
+      "--------------------------------------------------\n",
+      "chinese: 俗语说的：‘千里搭长棚——没有个不散的筵席。’\n",
+      "--------------------------------------------------\n",
+      "english: 'You know what they said about the mile-wide marquee: 'Even the longest party must have an end'?\n",
+      "--------------------------------------------------\n",
+      "Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.06: The saying goes: 'Even a long tent搭ed up for a thousand miles must eventually come down.'\n",
+      "--------------------------------------------------\n",
+      "count_chinese_characters-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.06: 1\n",
+      "--------------------------------------------------\n",
+      "chinese: 轿夫抬轿从街上走，迈的都是八字步，号称“踩街”，这一方面是为讨主家欢喜，多得些赏钱； 另一方面，是为了显示一种优雅的职业风度。\n",
+      "--------------------------------------------------\n",
+      "english: As the bearers carried their load down the path, their feet left a series of V imprints known as 'tramples' in the dirt, for which satisfied clients usually rewarded them, and which fortified the bearers' pride of profession.\n",
+      "--------------------------------------------------\n",
+      "Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.06: The bearers walked in a八字 step called 'footing the street,' which was both for the benefit of their masters and to show off their professional elegance.\n",
+      "--------------------------------------------------\n",
+      "count_chinese_characters-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.06: 1\n",
+      "### Analyzing: Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.08\n",
+      "*** Found 2 rows with total_repetitions > 50 for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.08\n",
+      "他的派对渐渐地有了名声，一传十，十传百的，来的人呢，也是一带十，十带百，他全是欢迎。\n",
+      "================================================================================\n",
+      "Gradually, his parties started to gain some notoriety: word traveled fast, as one guest brought ten friends and each of them brought along others—but he didn't mind, everyone was welcome.\n",
+      "================================================================================\n",
+      "His parties became famous and word of mouth spread quickly. People came in groups of ten, who brought another ten, who brought another hundred. He welcomed them all with open arms.\n",
+      "================================================================================\n",
+      "----detect excessive whitespaces----\n",
+      "----detect text repetitions----\n",
+      "<re.Match object; span=(84, 135), match=' ten, who brought another ten, who brought anothe>\n",
+      "Group 1 found at 84-109: ` ten, who brought another`\n",
+      "Group 2 found at 109-135: ` ten, who brought another `\n",
+      "Group 3 found at 109-134: ` ten, who brought another`\n",
+      "(0, 51, 51)\n",
+      "老头子跪在地上，哀求道：“八路老爷饶命，八路老爷饶命……”\n",
+      "================================================================================\n",
+      "He rose to his knees and begged, 'Spare me, Eighth Route Master, spare me!'\n",
+      "================================================================================\n",
+      "The old man knelt on the ground and begged for mercy: 'Eight Road gentleman, please spare my life! Eight Road gentleman, please spare my life!'\n",
+      "================================================================================\n",
+      "----detect excessive whitespaces----\n",
+      "----detect text repetitions----\n",
+      "<re.Match object; span=(55, 142), match='Eight Road gentleman, please spare my life! Eight>\n",
+      "Group 1 found at 55-98: `Eight Road gentleman, please spare my life!`\n",
+      "Group 2 found at 99-142: `Eight Road gentleman, please spare my life!`\n",
+      "Group 3 found at 99-142: `Eight Road gentleman, please spare my life!`\n",
+      "(0, 87, 87)\n",
+      "\n",
+      "*** Found 0 rows with output_tokens >= 2048 for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.08\n",
+      "\n",
+      "*** Found 0 rows with incomplete translations for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.08\n",
+      "### Analyzing: Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.10\n",
+      "*** Found 1 rows with total_repetitions > 50 for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.10\n",
+      "老头子跪在地上，哀求道：“八路老爷饶命，八路老爷饶命……”\n",
+      "================================================================================\n",
+      "He rose to his knees and begged, 'Spare me, Eighth Route Master, spare me!'\n",
+      "================================================================================\n",
+      "The old man knelt on the ground and begged for mercy: 'Eight Road gentleman, please spare my life! Eight Road gentleman, please spare my life!'\n",
+      "================================================================================\n",
+      "----detect excessive whitespaces----\n",
+      "----detect text repetitions----\n",
+      "<re.Match object; span=(55, 142), match='Eight Road gentleman, please spare my life! Eight>\n",
+      "Group 1 found at 55-98: `Eight Road gentleman, please spare my life!`\n",
+      "Group 2 found at 99-142: `Eight Road gentleman, please spare my life!`\n",
+      "Group 3 found at 99-142: `Eight Road gentleman, please spare my life!`\n",
+      "(0, 87, 87)\n",
+      "\n",
+      "*** Found 0 rows with output_tokens >= 2048 for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.10\n",
+      "\n",
+      "*** Found 0 rows with incomplete translations for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.10\n",
+      "### Analyzing: internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00\n",
+      "*** Found 2 rows with total_repetitions > 50 for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00\n",
+      "短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n",
+      "================================================================================\n",
+      "short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n",
+      "================================================================================\n",
+      "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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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,\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, 6388), match=', long, long, long, short, long, long, long, shor>\n",
+      "Group 1 found at 238-3313: `, 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, 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, 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, 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, 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`\n",
+      "Group 2 found at 3313-6388: `, 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, 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, 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, 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, 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`\n",
+      "Group 3 found at 3313-6388: `, 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, 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, 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, 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, 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`\n",
+      "<re.Match object; span=(6388, 6400), match=', long, long'>\n",
+      "Group 1 found at 6388-6394: `, long`\n",
+      "Group 2 found at 6394-6400: `, long`\n",
+      "Group 3 found at 6394-6400: `, long`\n",
+      "(0, 6388, 6388)\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 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 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 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 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 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 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 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 your own. You ought to spare my face for the sake of your own. You ought to\n",
+      "================================================================================\n",
+      "----detect excessive whitespaces----\n",
+      "----detect text repetitions----\n",
+      "<re.Match object; span=(167, 8329), match='. You ought to spare my face for the sake of your>\n",
+      "Group 1 found at 167-4248: `. 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 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 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 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 your own`\n",
+      "Group 2 found at 4248-8329: `. 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 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 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 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 your own`\n",
+      "Group 3 found at 4248-8329: `. 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 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 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 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 your own`\n",
+      "(0, 8162, 8162)\n",
+      "\n",
+      "*** Found 2 rows with output_tokens >= 2048 for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00\n",
+      "--------------------------------------------------\n",
+      "chinese: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n",
+      "--------------------------------------------------\n",
+      "english: short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n",
+      "--------------------------------------------------\n",
+      "internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00: Short, long, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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,\n",
+      "--------------------------------------------------\n",
+      "output_tokens-internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00: 2049\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/checkpoint-140/rpp-1.00: 'You ought to spare my face for the sake of the Buddha's. You ought to spare my face for the sake of the fish. You ought to spare my face for the sake of the bean-girl. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of 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 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 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 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 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 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 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 your own. You ought to spare my face for the sake of your own. You ought to\n",
+      "--------------------------------------------------\n",
+      "output_tokens-internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00: 2049\n",
+      "\n",
+      "*** Found 0 rows with incomplete translations for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00\n",
+      "### Analyzing: internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.02\n",
+      "*** Found 1 rows with total_repetitions > 50 for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.02\n",
+      "短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n",
+      "================================================================================\n",
+      "short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n",
+      "================================================================================\n",
+      "Short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long\n",
+      "================================================================================\n",
+      "----detect excessive whitespaces----\n",
+      "----detect text repetitions----\n",
+      "<re.Match object; span=(1, 11243), match='hort long short long short long short long short >\n",
+      "Group 1 found at 1-5622: `hort long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long s`\n",
+      "Group 2 found at 5622-11243: `hort long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long s`\n",
+      "Group 3 found at 5622-11243: `hort long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long s`\n",
+      "(0, 11242, 11242)\n",
+      "\n",
+      "*** Found 1 rows with output_tokens >= 2048 for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.02\n",
+      "--------------------------------------------------\n",
+      "chinese: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n",
+      "--------------------------------------------------\n",
+      "english: short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n",
+      "--------------------------------------------------\n",
+      "internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.02: Short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long\n",
+      "--------------------------------------------------\n",
+      "output_tokens-internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.02: 2049\n",
+      "\n",
+      "*** Found 0 rows with incomplete translations for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.02\n",
+      "### Analyzing: internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.04\n",
+      "*** Found 1 rows with total_repetitions > 50 for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.04\n",
+      "短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n",
+      "================================================================================\n",
+      "short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n",
+      "================================================================================\n",
+      "Long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-sh\n",
+      "================================================================================\n",
+      "----detect excessive whitespaces----\n",
+      "----detect text repetitions----\n",
+      "<re.Match object; span=(1, 7503), match='ong-short-long-short-long-short-long-short-long-s>\n",
+      "Group 1 found at 1-3752: `ong-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-l`\n",
+      "Group 2 found at 3752-7503: `ong-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-l`\n",
+      "Group 3 found at 3752-7503: `ong-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-l`\n",
+      "(0, 7502, 7502)\n",
+      "\n",
+      "*** Found 1 rows with output_tokens >= 2048 for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.04\n",
+      "--------------------------------------------------\n",
+      "chinese: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n",
+      "--------------------------------------------------\n",
+      "english: short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n",
+      "--------------------------------------------------\n",
+      "internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.04: Long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-sh\n",
+      "--------------------------------------------------\n",
+      "output_tokens-internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.04: 2049\n",
+      "\n",
+      "*** Found 0 rows with incomplete translations for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.04\n",
+      "### Analyzing: internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06\n",
+      "*** Found 1 rows with total_repetitions > 50 for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06\n",
+      "短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n",
+      "================================================================================\n",
+      "short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n",
+      "================================================================================\n",
+      "Long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-sh\n",
+      "================================================================================\n",
+      "----detect excessive whitespaces----\n",
+      "----detect text repetitions----\n",
+      "<re.Match object; span=(1, 7503), match='ong-short-long-short-long-short-long-short-long-s>\n",
+      "Group 1 found at 1-3752: `ong-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-l`\n",
+      "Group 2 found at 3752-7503: `ong-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-l`\n",
+      "Group 3 found at 3752-7503: `ong-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-l`\n",
+      "(0, 7502, 7502)\n",
+      "\n",
+      "*** Found 1 rows with output_tokens >= 2048 for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06\n",
+      "--------------------------------------------------\n",
+      "chinese: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n",
+      "--------------------------------------------------\n",
+      "english: short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n",
+      "--------------------------------------------------\n",
+      "internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06: Long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-sh\n",
+      "--------------------------------------------------\n",
+      "output_tokens-internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06: 2049\n",
+      "\n",
+      "*** Found 1 rows with incomplete translations for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06\n",
+      "--------------------------------------------------\n",
+      "chinese: 左首一人又高又瘦，面目黝黑，姓顾名炎武，字亭林，江苏昆山人士。\n",
+      "--------------------------------------------------\n",
+      "english: The other one, a tall, thin man with a swarthy complexion, was Gu Yanwu, a native of Kunshan in Jiangsu Province.\n",
+      "--------------------------------------------------\n",
+      "internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06: One of them was tall and thin, with dark features; his name was Gu Yanwu (characters: 顾炎武), and his courtesy name was Tinglin. He came from Kunshan in Jiangsu Province.\n",
+      "--------------------------------------------------\n",
+      "count_chinese_characters-internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06: 1\n",
+      "### Analyzing: internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.08\n",
+      "*** Found 1 rows with total_repetitions > 50 for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.08\n",
+      "短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n",
+      "================================================================================\n",
+      "short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n",
+      "================================================================================\n",
+      "Short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long\n",
+      "================================================================================\n",
+      "----detect excessive whitespaces----\n",
+      "----detect text repetitions----\n",
+      "<re.Match object; span=(1, 11243), match='hort long short long short long short long short >\n",
+      "Group 1 found at 1-5622: `hort long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long s`\n",
+      "Group 2 found at 5622-11243: `hort long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long s`\n",
+      "Group 3 found at 5622-11243: `hort long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long s`\n",
+      "(0, 11242, 11242)\n",
+      "\n",
+      "*** Found 1 rows with output_tokens >= 2048 for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.08\n",
+      "--------------------------------------------------\n",
+      "chinese: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n",
+      "--------------------------------------------------\n",
+      "english: short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n",
+      "--------------------------------------------------\n",
+      "internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.08: Short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long\n",
+      "--------------------------------------------------\n",
+      "output_tokens-internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.08: 2049\n",
+      "\n",
+      "*** Found 1 rows with incomplete translations for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.08\n",
+      "--------------------------------------------------\n",
+      "chinese: 左首一人又高又瘦，面目黝黑，姓顾名炎武，字亭林，江苏昆山人士。\n",
+      "--------------------------------------------------\n",
+      "english: The other one, a tall, thin man with a swarthy complexion, was Gu Yanwu, a native of Kunshan in Jiangsu Province.\n",
+      "--------------------------------------------------\n",
+      "internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.08: One of them was tall and thin, with dark features; his name was Gu Yanwu (characters: 顾炎武), but he went by the courtesy names Linting and Shilin. He came from Kunshan in Jiangsu Province.\n",
+      "--------------------------------------------------\n",
+      "count_chinese_characters-internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.08: 1\n",
+      "### Analyzing: internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10\n",
+      "*** Found 1 rows with total_repetitions > 50 for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10\n",
+      "短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n",
+      "================================================================================\n",
+      "short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n",
+      "================================================================================\n",
+      "Long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-sh\n",
+      "================================================================================\n",
+      "----detect excessive whitespaces----\n",
+      "----detect text repetitions----\n",
+      "<re.Match object; span=(1, 7503), match='ong-short-long-short-long-short-long-short-long-s>\n",
+      "Group 1 found at 1-3752: `ong-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-l`\n",
+      "Group 2 found at 3752-7503: `ong-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-l`\n",
+      "Group 3 found at 3752-7503: `ong-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-l`\n",
+      "(0, 7502, 7502)\n",
+      "\n",
+      "*** Found 1 rows with output_tokens >= 2048 for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10\n",
+      "--------------------------------------------------\n",
+      "chinese: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n",
+      "--------------------------------------------------\n",
+      "english: short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n",
+      "--------------------------------------------------\n",
+      "internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10: Long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-sh\n",
+      "--------------------------------------------------\n",
+      "output_tokens-internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10: 2049\n",
+      "\n",
+      "*** Found 1 rows with incomplete translations for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10\n",
+      "--------------------------------------------------\n",
+      "chinese: 左首一人又高又瘦，面目黝黑，姓顾名炎武，字亭林，江苏昆山人士。\n",
+      "--------------------------------------------------\n",
+      "english: The other one, a tall, thin man with a swarthy complexion, was Gu Yanwu, a native of Kunshan in Jiangsu Province.\n",
+      "--------------------------------------------------\n",
+      "internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10: One of them was tall and thin with dark features; his name was Gu Yanwu (characters: 顾炎武), but he went by the courtesy names Linshan (亭林). He came from Kunshan in Jiangsu Province.\n",
+      "--------------------------------------------------\n",
+      "count_chinese_characters-internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10: 1\n",
+      "### Analyzing: microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.00\n",
+      "*** Found 6 rows with total_repetitions > 50 for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.00\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 softened by the words, and he began to feel a little more alive. Then he heard his wife's words, and he laughed. 'Well, if you say so, I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. 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+      "================================================================================\n",
+      "----detect excessive whitespaces----\n",
+      "----detect text repetitions----\n",
+      "<re.Match object; span=(158, 6159), match=\" I'll go and see her tomorrow. I'll go and see he>\n",
+      "Group 1 found at 158-3158: ` I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow.`\n",
+      "Group 2 found at 3158-6159: ` I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. `\n",
+      "Group 3 found at 3158-6158: ` I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow.`\n",
+      "(0, 6001, 6001)\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, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, 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, 8161), match='ong and short, long and short, long and short, lo>\n",
+      "Group 1 found at 1-4081: `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, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, 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 4081-8161: `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, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, 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 4081-8161: `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, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, 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, 8160, 8160)\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 they lived. She was leaning against a stack of sorghum leaves, holding her husband's arm, and talking to him in a low voice. 'Big Uncle . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .\n",
+      "================================================================================\n",
+      "----detect excessive whitespaces----\n",
+      "----detect text repetitions----\n",
+      "<re.Match object; span=(263, 4232), match=' . . . . . . . . . . . . . . . . . . . . . . . . >\n",
+      "Group 1 found at 263-2247: ` . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n",
+      "Group 2 found at 2247-4232: ` . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . `\n",
+      "Group 3 found at 2247-4231: ` . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n",
+      "(0, 3969, 3969)\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 twisted as he said, 'Lady . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .\n",
+      "================================================================================\n",
+      "----detect excessive whitespaces----\n",
+      "----detect text repetitions----\n",
+      "<re.Match object; span=(64, 4121), match=' . . . . . . . . . . . . . . . . . . . . . . . . >\n",
+      "Group 1 found at 64-2092: ` . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n",
+      "Group 2 found at 2092-4121: ` . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . `\n",
+      "Group 3 found at 2092-4120: ` . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n",
+      "(0, 4057, 4057)\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, 4119), match=' . . . . . . . . . . . . . . . . . . . . . . . . >\n",
+      "Group 1 found at 51-2085: ` . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n",
+      "Group 2 found at 2085-4119: ` . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n",
+      "Group 3 found at 2085-4119: ` . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n",
+      "(0, 4068, 4068)\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'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'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'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'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'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'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'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\n",
+      "================================================================================\n",
+      "----detect excessive whitespaces----\n",
+      "----detect text repetitions----\n",
+      "<re.Match object; span=(48, 6096), match=\"You're a very good boy. You're a very good boy. Y>\n",
+      "Group 1 found at 48-3072: `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'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'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'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. `\n",
+      "Group 2 found at 3072-6096: `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'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'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'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. `\n",
+      "Group 3 found at 3072-6096: `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'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'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'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. `\n",
+      "(0, 6048, 6048)\n",
+      "\n",
+      "*** Found 6 rows with output_tokens >= 2048 for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.00\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/checkpoint-210/rpp-1.00: But the dog's heart was softened by the words, and he began to feel a little more alive. Then he heard his wife's words, and he laughed. 'Well, if you say so, I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go and see her tomorrow. I'll go\n",
+      "--------------------------------------------------\n",
+      "output_tokens-microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.00: 2048\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/checkpoint-210/rpp-1.00: Long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, 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/checkpoint-210/rpp-1.00: 2048\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/checkpoint-210/rpp-1.00: Father remembered a night about seven or eight years ago when Grandma had gotten drunk in the courtyard of the distillery where they lived. She was leaning against a stack of sorghum leaves, holding her husband's arm, and talking to him in a low voice. 'Big Uncle . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .\n",
+      "--------------------------------------------------\n",
+      "output_tokens-microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.00: 2048\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/checkpoint-210/rpp-1.00: He heard my great-grandfather's tongue twisted as he said, 'Lady . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .\n",
+      "--------------------------------------------------\n",
+      "output_tokens-microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.00: 2048\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/checkpoint-210/rpp-1.00: The boy hesitated a moment, then said, 'I am called . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .\n",
+      "--------------------------------------------------\n",
+      "output_tokens-microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.00: 2048\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/checkpoint-210/rpp-1.00: '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'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'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'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'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'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'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'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\n",
+      "--------------------------------------------------\n",
+      "output_tokens-microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.00: 2048\n",
+      "\n",
+      "*** Found 0 rows with incomplete translations for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.00\n",
+      "### Analyzing: microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.02\n",
+      "*** Found 3 rows with total_repetitions > 50 for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.02\n",
+      "“有…… 没有…… 有…… 没有……\n",
+      "================================================================================\n",
+      "'Yes . . . no . . . yes . . . no . . .\n",
+      "================================================================================\n",
+      "'There's one... and there isn't one... There's one... and there isn't one...\n",
+      "================================================================================\n",
+      "----detect excessive whitespaces----\n",
+      "----detect text repetitions----\n",
+      "<re.Match object; span=(1, 76), match=\"There's one... and there isn't one... There's one>\n",
+      "Group 1 found at 1-38: `There's one... and there isn't one...`\n",
+      "Group 2 found at 39-76: `There's one... and there isn't one...`\n",
+      "Group 3 found at 39-76: `There's one... and there isn't one...`\n",
+      "(0, 75, 75)\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, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, 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, 8161), match='ong and short, long and short, long and short, lo>\n",
+      "Group 1 found at 1-4081: `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, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, 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 4081-8161: `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, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, 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 4081-8161: `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, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, 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, 8160, 8160)\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 twisted as he said, 'Little girl... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .\n",
+      "================================================================================\n",
+      "----detect excessive whitespaces----\n",
+      "----detect text repetitions----\n",
+      "<re.Match object; span=(73, 4128), match='. . . . . . . . . . . . . . . . . . . . . . . . .>\n",
+      "Group 1 found at 73-2100: `. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n",
+      "Group 2 found at 2101-4128: `. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n",
+      "Group 3 found at 2101-4128: `. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n",
+      "(0, 4055, 4055)\n",
+      "\n",
+      "*** Found 2 rows with output_tokens >= 2048 for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.02\n",
+      "--------------------------------------------------\n",
+      "chinese: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n",
+      "--------------------------------------------------\n",
+      "english: short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n",
+      "--------------------------------------------------\n",
+      "microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.02: Long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, 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/checkpoint-210/rpp-1.02: 2048\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/checkpoint-210/rpp-1.02: He heard my great-grandfather's tongue twisted as he said, 'Little girl... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .\n",
+      "--------------------------------------------------\n",
+      "output_tokens-microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.02: 2048\n",
+      "\n",
+      "*** Found 0 rows with incomplete translations for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.02\n",
+      "### Analyzing: microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.04\n",
+      "*** Found 2 rows with total_repetitions > 50 for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.04\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 twistingly say, 'Miss . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .\n",
+      "================================================================================\n",
+      "----detect excessive whitespaces----\n",
+      "----detect text repetitions----\n",
+      "<re.Match object; span=(60, 4121), match=' . . . . . . . . . . . . . . . . . . . . . . . . >\n",
+      "Group 1 found at 60-2090: ` . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n",
+      "Group 2 found at 2090-4121: ` . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . `\n",
+      "Group 3 found at 2090-4120: ` . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n",
+      "(0, 4061, 4061)\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 mercy with his tears: 'Eight-Path Old Devil . . . Eight-Path Old Devil . . .'\n",
+      "================================================================================\n",
+      "----detect excessive whitespaces----\n",
+      "----detect text repetitions----\n",
+      "<re.Match object; span=(61, 114), match='Eight-Path Old Devil . . . Eight-Path Old Devil .>\n",
+      "Group 1 found at 61-87: `Eight-Path Old Devil . . .`\n",
+      "Group 2 found at 88-114: `Eight-Path Old Devil . . .`\n",
+      "Group 3 found at 88-114: `Eight-Path Old Devil . . .`\n",
+      "(0, 53, 53)\n",
+      "\n",
+      "*** Found 1 rows with output_tokens >= 2048 for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.04\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/checkpoint-210/rpp-1.04: He heard my great-grandfather's tongue twistingly say, 'Miss . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .\n",
+      "--------------------------------------------------\n",
+      "output_tokens-microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.04: 2048\n",
+      "\n",
+      "*** Found 0 rows with incomplete translations for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.04\n",
+      "### Analyzing: microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.06\n",
+      "*** Found 1 rows with total_repetitions > 50 for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.06\n",
+      "老头子跪在地上，哀求道：“八路老爷饶命，八路老爷饶命……”\n",
+      "================================================================================\n",
+      "He rose to his knees and begged, 'Spare me, Eighth Route Master, spare me!'\n",
+      "================================================================================\n",
+      "The old man knelt on his knees and begged for mercy with tears in his eyes: 'Eight-Path Old Devil . . . Eight-Path Old Devil . . .'\n",
+      "================================================================================\n",
+      "----detect excessive whitespaces----\n",
+      "----detect text repetitions----\n",
+      "<re.Match object; span=(77, 130), match='Eight-Path Old Devil . . . Eight-Path Old Devil .>\n",
+      "Group 1 found at 77-103: `Eight-Path Old Devil . . .`\n",
+      "Group 2 found at 104-130: `Eight-Path Old Devil . . .`\n",
+      "Group 3 found at 104-130: `Eight-Path Old Devil . . .`\n",
+      "(0, 53, 53)\n",
+      "\n",
+      "*** Found 0 rows with output_tokens >= 2048 for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.06\n",
+      "\n",
+      "*** Found 0 rows with incomplete translations for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.06\n",
+      "### Analyzing: microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.08\n",
+      "*** Found 1 rows with total_repetitions > 50 for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.08\n",
+      "7. 开麦拉\n",
+      "================================================================================\n",
+      "Camera\n",
+      "================================================================================\n",
+      "The opening scene of Casablanca takes place in Rick's Café Américain on Place de la Gare (the train station) at nightfall and just after midnight. It begins with Sam playing his accordion for customers who have come from all over Morocco looking for work during World War II; among them we see Ilsa Lund sitting alone by herself drinking coffee while waiting for her husband Victor Laszlo—who has been arrested because he was helping Allied forces fight against Germany. As she waits, Ilsa remembers how they met years ago when their paths crossed again later than usual one day due to bad weather conditions preventing planes from landing safely. She had fallen deeply in love with him but never told anyone until now since there were no other options left except marrying someone else so she could stay close enough to help save Europe without putting too much risk into doing something illegal like smuggling people out through this café! Her thoughts then turn back towards Ricks Cafe where things seem very different tonight compared what happened yesterday evening before everyone went home... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .\n",
+      "================================================================================\n",
+      "----detect excessive whitespaces----\n",
+      "----detect text repetitions----\n",
+      "<re.Match object; span=(1098, 4745), match='. . . . . . . . . . . . . . . . . . . . . . . . .>\n",
+      "Group 1 found at 1098-2921: `. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n",
+      "Group 2 found at 2922-4745: `. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n",
+      "Group 3 found at 2922-4745: `. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n",
+      "(0, 3647, 3647)\n",
+      "\n",
+      "*** Found 1 rows with output_tokens >= 2048 for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.08\n",
+      "--------------------------------------------------\n",
+      "chinese: 7. 开麦拉\n",
+      "--------------------------------------------------\n",
+      "english: Camera\n",
+      "--------------------------------------------------\n",
+      "microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.08: The opening scene of Casablanca takes place in Rick's Café Américain on Place de la Gare (the train station) at nightfall and just after midnight. It begins with Sam playing his accordion for customers who have come from all over Morocco looking for work during World War II; among them we see Ilsa Lund sitting alone by herself drinking coffee while waiting for her husband Victor Laszlo—who has been arrested because he was helping Allied forces fight against Germany. As she waits, Ilsa remembers how they met years ago when their paths crossed again later than usual one day due to bad weather conditions preventing planes from landing safely. She had fallen deeply in love with him but never told anyone until now since there were no other options left except marrying someone else so she could stay close enough to help save Europe without putting too much risk into doing something illegal like smuggling people out through this café! Her thoughts then turn back towards Ricks Cafe where things seem very different tonight compared what happened yesterday evening before everyone went home... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .\n",
+      "--------------------------------------------------\n",
+      "output_tokens-microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.08: 2048\n",
+      "\n",
+      "*** Found 0 rows with incomplete translations for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.08\n",
+      "### Analyzing: microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.10\n",
+      "*** Found 0 rows with total_repetitions > 50 for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.10\n",
+      "\n",
+      "*** Found 0 rows with output_tokens >= 2048 for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.10\n",
+      "\n",
+      "*** Found 0 rows with incomplete translations for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.10\n",
+      "### Analyzing: shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00\n",
+      "*** Found 0 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00\n",
+      "\n",
+      "*** Found 0 rows with output_tokens >= 2048 for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00\n",
+      "\n",
+      "*** Found 0 rows with incomplete translations for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00\n",
+      "### Analyzing: shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.02\n",
+      "*** Found 0 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.02\n",
+      "\n",
+      "*** Found 0 rows with output_tokens >= 2048 for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.02\n",
+      "\n",
+      "*** Found 0 rows with incomplete translations for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.02\n",
+      "### Analyzing: shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.04\n",
+      "*** Found 0 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.04\n",
+      "\n",
+      "*** Found 0 rows with output_tokens >= 2048 for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.04\n",
+      "\n",
+      "*** Found 0 rows with incomplete translations for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.04\n",
+      "### Analyzing: shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.06\n",
+      "*** Found 0 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.06\n",
+      "\n",
+      "*** Found 0 rows with output_tokens >= 2048 for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.06\n",
+      "\n",
+      "*** Found 0 rows with incomplete translations for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.06\n",
+      "### Analyzing: shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.08\n",
+      "*** Found 1 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.08\n",
+      "老头子跪在地上，哀求道：“八路老爷饶命，八路老爷饶命……”\n",
+      "================================================================================\n",
+      "He rose to his knees and begged, 'Spare me, Eighth Route Master, spare me!'\n",
+      "================================================================================\n",
+      "The old man fell to his knees and pleaded for his life, 'Eight Route Army lord, spare me... Eight Route Army lord, spare me...'\n",
+      "================================================================================\n",
+      "----detect excessive whitespaces----\n",
+      "----detect text repetitions----\n",
+      "<re.Match object; span=(57, 126), match='Eight Route Army lord, spare me... Eight Route Ar>\n",
+      "Group 1 found at 57-91: `Eight Route Army lord, spare me...`\n",
+      "Group 2 found at 92-126: `Eight Route Army lord, spare me...`\n",
+      "Group 3 found at 92-126: `Eight Route Army lord, spare me...`\n",
+      "(0, 69, 69)\n",
+      "\n",
+      "*** Found 0 rows with output_tokens >= 2048 for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.08\n",
+      "\n",
+      "*** Found 0 rows with incomplete translations for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.08\n",
+      "### Analyzing: shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.10\n",
+      "*** Found 0 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.10\n",
+      "\n",
+      "*** Found 0 rows with output_tokens >= 2048 for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.10\n",
+      "\n",
+      "*** Found 0 rows with incomplete translations for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.10\n",
+      "### Analyzing: shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.00\n",
+      "*** Found 2 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.00\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 that my way of speaking had a Yangzhou accent, and that he was afraid... afraid... that he might... that he might... make me go blind this time. Did he know what he was talking about?'\n",
+      "================================================================================\n",
+      "----detect excessive whitespaces----\n",
+      "----detect text repetitions----\n",
+      "<re.Match object; span=(70, 91), match=' afraid... afraid... '>\n",
+      "Group 1 found at 70-80: ` afraid...`\n",
+      "Group 2 found at 80-91: ` afraid... `\n",
+      "Group 3 found at 80-90: ` afraid...`\n",
+      "<re.Match object; span=(91, 125), match='that he might... that he might... '>\n",
+      "Group 1 found at 91-108: `that he might... `\n",
+      "Group 2 found at 108-125: `that he might... `\n",
+      "Group 3 found at 108-125: `that he might... `\n",
+      "(0, 55, 55)\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, 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, 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, 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, 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, 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, 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, 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,\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, 6589), match='hort, short, short, long, long, long, short, shor>\n",
+      "Group 1 found at 193-3391: `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, 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, 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, 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, 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, s`\n",
+      "Group 2 found at 3391-6589: `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, 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, 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, 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, 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, s`\n",
+      "Group 3 found at 3391-6589: `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, 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, 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, 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, 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, s`\n",
+      "<re.Match object; span=(6589, 6603), match='hort, short, s'>\n",
+      "Group 1 found at 6589-6596: `hort, s`\n",
+      "Group 2 found at 6596-6603: `hort, s`\n",
+      "Group 3 found at 6596-6603: `hort, s`\n",
+      "<re.Match object; span=(6607, 6625), match=', long, long, long'>\n",
+      "Group 1 found at 6607-6613: `, long`\n",
+      "Group 2 found at 6619-6625: `, long`\n",
+      "Group 3 found at 6619-6625: `, long`\n",
+      "<re.Match object; span=(6625, 6646), match=', short, short, short'>\n",
+      "Group 1 found at 6625-6632: `, short`\n",
+      "Group 2 found at 6639-6646: `, short`\n",
+      "Group 3 found at 6639-6646: `, short`\n",
+      "(0, 6641, 6641)\n",
+      "\n",
+      "*** Found 1 rows with output_tokens >= 2048 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.00\n",
+      "--------------------------------------------------\n",
+      "chinese: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n",
+      "--------------------------------------------------\n",
+      "english: short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n",
+      "--------------------------------------------------\n",
+      "shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.00: Short, long, long, long, short, long, long, long, short, short, long, long, long, short, short, short, long, long, long, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, 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, 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, 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, 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, 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, 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, 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,\n",
+      "--------------------------------------------------\n",
+      "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.00: 2048\n",
+      "\n",
+      "*** Found 0 rows with incomplete translations for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.00\n",
+      "### Analyzing: shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.02\n",
+      "*** Found 1 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.02\n",
+      "短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n",
+      "================================================================================\n",
+      "short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n",
+      "================================================================================\n",
+      "Short, long, long, long, short, long, long, long, short, short, long, long, long, short, short, short, long, long, long, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, 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, 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, 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, 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, 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, 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, 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,\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, 6589), match='hort, short, short, long, long, long, short, shor>\n",
+      "Group 1 found at 193-3391: `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, 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, 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, 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, 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, s`\n",
+      "Group 2 found at 3391-6589: `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, 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, 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, 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, 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, s`\n",
+      "Group 3 found at 3391-6589: `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, 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, 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, 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, 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, s`\n",
+      "<re.Match object; span=(6589, 6603), match='hort, short, s'>\n",
+      "Group 1 found at 6589-6596: `hort, s`\n",
+      "Group 2 found at 6596-6603: `hort, s`\n",
+      "Group 3 found at 6596-6603: `hort, s`\n",
+      "<re.Match object; span=(6607, 6625), match=', long, long, long'>\n",
+      "Group 1 found at 6607-6613: `, long`\n",
+      "Group 2 found at 6619-6625: `, long`\n",
+      "Group 3 found at 6619-6625: `, long`\n",
+      "<re.Match object; span=(6625, 6646), match=', short, short, short'>\n",
+      "Group 1 found at 6625-6632: `, short`\n",
+      "Group 2 found at 6639-6646: `, short`\n",
+      "Group 3 found at 6639-6646: `, short`\n",
+      "(0, 6641, 6641)\n",
+      "\n",
+      "*** Found 1 rows with output_tokens >= 2048 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.02\n",
+      "--------------------------------------------------\n",
+      "chinese: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n",
+      "--------------------------------------------------\n",
+      "english: short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n",
+      "--------------------------------------------------\n",
+      "shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.02: Short, long, long, long, short, long, long, long, short, short, long, long, long, short, short, short, long, long, long, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, 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, 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, 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, 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, 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, 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, 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,\n",
+      "--------------------------------------------------\n",
+      "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.02: 2048\n",
+      "\n",
+      "*** Found 0 rows with incomplete translations for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.02\n",
+      "### Analyzing: shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.04\n",
+      "*** Found 1 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.04\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 my way of speaking had a Yangzhou accent. He was afraid... afraid... that he might... that he might... make me go blind this time.'\n",
+      "================================================================================\n",
+      "----detect excessive whitespaces----\n",
+      "----detect text repetitions----\n",
+      "<re.Match object; span=(56, 77), match=' afraid... afraid... '>\n",
+      "Group 1 found at 56-66: ` afraid...`\n",
+      "Group 2 found at 66-77: ` afraid... `\n",
+      "Group 3 found at 66-76: ` afraid...`\n",
+      "<re.Match object; span=(77, 111), match='that he might... that he might... '>\n",
+      "Group 1 found at 77-94: `that he might... `\n",
+      "Group 2 found at 94-111: `that he might... `\n",
+      "Group 3 found at 94-111: `that he might... `\n",
+      "(0, 55, 55)\n",
+      "\n",
+      "*** Found 0 rows with output_tokens >= 2048 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.04\n",
+      "\n",
+      "*** Found 0 rows with incomplete translations for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.04\n",
+      "### Analyzing: shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.06\n",
+      "*** Found 1 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.06\n",
+      "老头子跪在地上，哀求道：“八路老爷饶命，八路老爷饶命……”\n",
+      "================================================================================\n",
+      "He rose to his knees and begged, 'Spare me, Eighth Route Master, spare me!'\n",
+      "================================================================================\n",
+      "The old man knelt on the ground and begged for mercy: 'Lords of the Eighth Route Army, have mercy! Lords of the Eighth Route Army, have mercy!'\n",
+      "================================================================================\n",
+      "----detect excessive whitespaces----\n",
+      "----detect text repetitions----\n",
+      "<re.Match object; span=(55, 142), match='Lords of the Eighth Route Army, have mercy! Lords>\n",
+      "Group 1 found at 55-98: `Lords of the Eighth Route Army, have mercy!`\n",
+      "Group 2 found at 99-142: `Lords of the Eighth Route Army, have mercy!`\n",
+      "Group 3 found at 99-142: `Lords of the Eighth Route Army, have mercy!`\n",
+      "(0, 87, 87)\n",
+      "\n",
+      "*** Found 0 rows with output_tokens >= 2048 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.06\n",
+      "\n",
+      "*** Found 0 rows with incomplete translations for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.06\n",
+      "### Analyzing: shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.08\n",
+      "*** Found 1 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.08\n",
+      "老头子跪在地上，哀求道：“八路老爷饶命，八路老爷饶命……”\n",
+      "================================================================================\n",
+      "He rose to his knees and begged, 'Spare me, Eighth Route Master, spare me!'\n",
+      "================================================================================\n",
+      "The old man knelt on the ground and begged for mercy: 'Lords of the Eighth Route Army, have pity! Lords of the Eighth Route Army, have pity!'\n",
+      "================================================================================\n",
+      "----detect excessive whitespaces----\n",
+      "----detect text repetitions----\n",
+      "<re.Match object; span=(55, 140), match='Lords of the Eighth Route Army, have pity! Lords >\n",
+      "Group 1 found at 55-97: `Lords of the Eighth Route Army, have pity!`\n",
+      "Group 2 found at 98-140: `Lords of the Eighth Route Army, have pity!`\n",
+      "Group 3 found at 98-140: `Lords of the Eighth Route Army, have pity!`\n",
+      "(0, 85, 85)\n",
+      "\n",
+      "*** Found 0 rows with output_tokens >= 2048 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.08\n",
+      "\n",
+      "*** Found 0 rows with incomplete translations for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.08\n",
+      "### Analyzing: shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.10\n",
+      "*** Found 0 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.10\n",
+      "\n",
+      "*** Found 0 rows with output_tokens >= 2048 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.10\n",
+      "\n",
+      "*** Found 0 rows with incomplete translations for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.10\n",
+      "### Analyzing: shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.00\n",
+      "*** Found 0 rows with total_repetitions > 50 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.00\n",
+      "\n",
+      "*** Found 0 rows with output_tokens >= 2048 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.00\n",
+      "\n",
+      "*** Found 0 rows with incomplete translations for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.00\n",
+      "### Analyzing: shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.02\n",
+      "*** Found 1 rows with total_repetitions > 50 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.02\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, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky\n",
+      "================================================================================\n",
+      "----detect excessive whitespaces----\n",
+      "----detect text repetitions----\n",
+      "<re.Match object; span=(2, 6938), match='he sky is blue, the sky is blue, the sky is blue,>\n",
+      "Group 1 found at 2-3470: `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, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, 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 3470-6938: `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, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, 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 3470-6938: `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, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, 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, 6936, 6936)\n",
+      "\n",
+      "*** Found 1 rows with output_tokens >= 2048 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.02\n",
+      "--------------------------------------------------\n",
+      "chinese: 青天哟——蓝天哟——花花绿绿的天哟——棒槌哟亲哥哟你死了——可就塌了妹妹的天哟——\n",
+      "--------------------------------------------------\n",
+      "english: A blue sky yo – a sapphire sky yo – a painted sky yo – a mighty cudgel yo – dear elder brother yo – death has claimed you – you have brought down little sister's sky yo –.\n",
+      "--------------------------------------------------\n",
+      "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.02: '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, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky\n",
+      "--------------------------------------------------\n",
+      "output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.02: 2049\n",
+      "\n",
+      "*** Found 0 rows with incomplete translations for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.02\n",
+      "### Analyzing: shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.04\n",
+      "*** Found 0 rows with total_repetitions > 50 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.04\n",
+      "\n",
+      "*** Found 0 rows with output_tokens >= 2048 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.04\n",
+      "\n",
+      "*** Found 0 rows with incomplete translations for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.04\n",
+      "### Analyzing: shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.06\n",
+      "*** Found 1 rows with total_repetitions > 50 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.06\n",
+      "老头子跪在地上，哀求道：“八路老爷饶命，八路老爷饶命……”\n",
+      "================================================================================\n",
+      "He rose to his knees and begged, 'Spare me, Eighth Route Master, spare me!'\n",
+      "================================================================================\n",
+      "The old man knelt on the ground and pleaded for mercy: 'Eight-route sir, spare my life! Eight-route sir, spare my life!'\n",
+      "================================================================================\n",
+      "----detect excessive whitespaces----\n",
+      "----detect text repetitions----\n",
+      "<re.Match object; span=(56, 119), match='Eight-route sir, spare my life! Eight-route sir, >\n",
+      "Group 1 found at 56-87: `Eight-route sir, spare my life!`\n",
+      "Group 2 found at 88-119: `Eight-route sir, spare my life!`\n",
+      "Group 3 found at 88-119: `Eight-route sir, spare my life!`\n",
+      "(0, 63, 63)\n",
+      "\n",
+      "*** Found 0 rows with output_tokens >= 2048 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.06\n",
+      "\n",
+      "*** Found 0 rows with incomplete translations for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.06\n",
+      "### Analyzing: shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.08\n",
+      "*** Found 2 rows with total_repetitions > 50 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.08\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's blue—the sky's blue—the sky's green—the sky's blue—the sky's blue—the sky's green—the sky's blue—the sky's blue—the sky's green—\n",
+      "================================================================================\n",
+      "----detect excessive whitespaces----\n",
+      "----detect text repetitions----\n",
+      "<re.Match object; span=(2, 94), match=\"he sky's blue—the sky's blue—the sky's green—the >\n",
+      "Group 1 found at 2-48: `he sky's blue—the sky's blue—the sky's green—t`\n",
+      "Group 2 found at 48-94: `he sky's blue—the sky's blue—the sky's green—t`\n",
+      "Group 3 found at 48-94: `he sky's blue—the sky's blue—the sky's green—t`\n",
+      "<re.Match object; span=(94, 124), match=\"he sky's blue—the sky's blue—t\">\n",
+      "Group 1 found at 94-109: `he sky's blue—t`\n",
+      "Group 2 found at 109-124: `he sky's blue—t`\n",
+      "Group 3 found at 109-124: `he sky's blue—t`\n",
+      "(0, 122, 122)\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 mercy: 'Eight-route sir, spare my life! Eight-route sir, spare my life!'\n",
+      "================================================================================\n",
+      "----detect excessive whitespaces----\n",
+      "----detect text repetitions----\n",
+      "<re.Match object; span=(56, 119), match='Eight-route sir, spare my life! Eight-route sir, >\n",
+      "Group 1 found at 56-87: `Eight-route sir, spare my life!`\n",
+      "Group 2 found at 88-119: `Eight-route sir, spare my life!`\n",
+      "Group 3 found at 88-119: `Eight-route sir, spare my life!`\n",
+      "(0, 63, 63)\n",
+      "\n",
+      "*** Found 0 rows with output_tokens >= 2048 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.08\n",
+      "\n",
+      "*** Found 0 rows with incomplete translations for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.08\n",
+      "### Analyzing: shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.10\n",
+      "*** Found 1 rows with total_repetitions > 50 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.10\n",
+      "老头子跪在地上，哀求道：“八路老爷饶命，八路老爷饶命……”\n",
+      "================================================================================\n",
+      "He rose to his knees and begged, 'Spare me, Eighth Route Master, spare me!'\n",
+      "================================================================================\n",
+      "The old man fell on his knees and pleaded for mercy: 'Eight-route sir, spare my life! Eight-route sir, spare my life!'\n",
+      "================================================================================\n",
+      "----detect excessive whitespaces----\n",
+      "----detect text repetitions----\n",
+      "<re.Match object; span=(54, 117), match='Eight-route sir, spare my life! Eight-route sir, >\n",
+      "Group 1 found at 54-85: `Eight-route sir, spare my life!`\n",
+      "Group 2 found at 86-117: `Eight-route sir, spare my life!`\n",
+      "Group 3 found at 86-117: `Eight-route sir, spare my life!`\n",
+      "(0, 63, 63)\n",
+      "\n",
+      "*** Found 0 rows with output_tokens >= 2048 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.10\n",
+      "\n",
+      "*** Found 0 rows with incomplete translations for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.10\n"
+     ]
+    }
+   ],
+   "source": [
+    "for col in result_columns:\n",
+    "    print(f\"### Analyzing: {col}\")\n",
+    "    analyze_translation_results(\n",
+    "        df, col, repetition_threshold=50, max_new_tokens=max_new_tokens\n",
+    "    )"
+   ]
+  }
+ ],
+ "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
+}