{ "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_generic_prompt.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_generic_prompt.csv\"\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_v2d.py\n", "loading /Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils_v2.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": "ff9470029dad4ce6b085890f3dca75bd", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Fetching 5 files: 0%| | 0/5 [00:00\n", "RangeIndex: 1133 entries, 0 to 1132\n", "Data columns (total 28 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 1130 non-null object\n", " 3 internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.02 1131 non-null object\n", " 4 internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.04 1130 non-null object\n", " 5 internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06 1131 non-null object\n", " 6 internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.08 1130 non-null object\n", " 7 internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10 1131 non-null object\n", " 8 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.00 1133 non-null object\n", " 9 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.02 1133 non-null object\n", " 10 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.04 1133 non-null object\n", " 11 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.06 1133 non-null object\n", " 12 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.08 1133 non-null object\n", " 13 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.10 1133 non-null object\n", " 14 microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.00 1133 non-null object\n", " 15 microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.02 1133 non-null object\n", " 16 microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.04 1133 non-null object\n", " 17 microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.06 1133 non-null object\n", " 18 microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.08 1133 non-null object\n", " 19 microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.10 1133 non-null object\n", " 20 Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.00 1133 non-null object\n", " 21 shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00 1133 non-null object\n", " 22 Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.02 1133 non-null object\n", " 23 shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.02 1133 non-null object\n", " 24 shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.04 1133 non-null object\n", " 25 shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.06 1133 non-null object\n", " 26 shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.08 1133 non-null object\n", " 27 shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.10 1133 non-null object\n", "dtypes: object(28)\n", "memory usage: 248.0+ 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_v2 import *\n", "\n", "df = pd.read_csv(results_path)\n", "df.info()" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00',\n", " 'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.02',\n", " 'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.04',\n", " 'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06',\n", " 'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.08',\n", " 'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10',\n", " '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/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 \"Qwen\" not in col]\n", "result_columns.sort()\n", "result_columns" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(['internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00',\n", " 'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.02',\n", " 'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.04',\n", " 'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06',\n", " 'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.08',\n", " 'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10',\n", " '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/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", " '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/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": [ "\n", "RangeIndex: 1133 entries, 0 to 1132\n", "Data columns (total 26 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 chinese 1133 non-null object\n", " 1 english 1133 non-null object\n", " 2 internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00 1130 non-null object\n", " 3 internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.02 1131 non-null object\n", " 4 internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.04 1130 non-null object\n", " 5 internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06 1131 non-null object\n", " 6 internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.08 1130 non-null object\n", " 7 internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10 1131 non-null object\n", " 8 microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.00 1133 non-null object\n", " 9 microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.02 1133 non-null object\n", " 10 microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.04 1133 non-null object\n", " 11 microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.06 1133 non-null object\n", " 12 microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.08 1133 non-null object\n", " 13 microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.10 1133 non-null object\n", " 14 shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00 1133 non-null object\n", " 15 shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.02 1133 non-null object\n", " 16 shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.04 1133 non-null object\n", " 17 shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.06 1133 non-null object\n", " 18 shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.08 1133 non-null object\n", " 19 shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.10 1133 non-null object\n", " 20 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.00 1133 non-null object\n", " 21 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.02 1133 non-null object\n", " 22 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.04 1133 non-null object\n", " 23 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.06 1133 non-null object\n", " 24 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.08 1133 non-null object\n", " 25 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.10 1133 non-null object\n", "dtypes: object(26)\n", "memory usage: 230.3+ KB\n" ] } ], "source": [ "df.info()" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "RangeIndex: 24 entries, 0 to 23\n", "Data columns (total 14 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 model 24 non-null object \n", " 1 rpp 24 non-null float64\n", " 2 comet 24 non-null float64\n", " 3 meteor 24 non-null float64\n", " 4 spbleu 24 non-null float64\n", " 5 bleu_1 24 non-null float64\n", " 6 rouge_l 24 non-null float64\n", " 7 ews_score 24 non-null float64\n", " 8 repetition_score 24 non-null float64\n", " 9 total_repetitions 24 non-null float64\n", " 10 nrr 24 non-null float64\n", " 11 rap 24 non-null float64\n", " 12 translation_completeness 24 non-null float64\n", " 13 num_max_output_tokens 24 non-null int64 \n", "dtypes: float64(12), int64(1), object(1)\n", "memory usage: 2.8+ 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": [ "['internlm/internlm2_5-7b-chat', 'microsoft/Phi-3.5-mini-instruct', 'shenzhi-wang/Llama3.1-70B-Chinese-Chat', 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat']\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/Users/inflaton/anaconda3/envs/rapget/lib/python3.11/site-packages/huggingface_hub/file_download.py:1142: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.\n", " warnings.warn(\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": [ "['internlm/internlm2_5-7b-chat/checkpoint-140', '1.00']\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': 0.7357995069773978, 'meteor': 0.4297612514398102, 'spbleu': 15.060226683930628, 'bleu_1': 0.1506022668393063, 'rouge_l': 0.4097577795330234, 'ews_score': 0.057369814651368, 'repetition_score': 11.715798764342454, 'total_repetitions': 11.773168578993822, 'nrr': 0.904585121602289, 'rap': 0.668838612578822, 'translation_completeness': 1.0, 'num_max_output_tokens': 2}\n", "['internlm/internlm2_5-7b-chat/checkpoint-140', '1.02']\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': 0.7377187550620283, 'meteor': 0.4246676977198055, 'spbleu': 14.728605282752795, 'bleu_1': 0.147286052827528, 'rouge_l': 0.4063246630867048, 'ews_score': 0.0812003530450132, 'repetition_score': 5.4157105030891435, 'total_repetitions': 5.486319505736981, 'nrr': 0.953232917525618, 'rap': 0.7040121248378131, 'translation_completeness': 1.0, 'num_max_output_tokens': 1}\n", "['internlm/internlm2_5-7b-chat/checkpoint-140', '1.04']\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': 0.7371160490183523, 'meteor': 0.4173352728374962, 'spbleu': 13.846403511622256, 'bleu_1': 0.1384640351162226, 'rouge_l': 0.3988121301027288, 'ews_score': 0.0803177405119152, 'repetition_score': 5.373345101500441, 'total_repetitions': 5.451897616946161, 'nrr': 0.954412947697031, 'rap': 0.704267523429021, 'translation_completeness': 1.0, 'num_max_output_tokens': 1}\n", "['internlm/internlm2_5-7b-chat/checkpoint-140', '1.06']\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': 0.7338597697698218, 'meteor': 0.3997609847704189, 'spbleu': 12.213374588416173, 'bleu_1': 0.1221337458841617, 'rouge_l': 0.3841365748920261, 'ews_score': 0.0679611650485436, 'repetition_score': 5.345984112974405, 'total_repetitions': 5.412180052956752, 'nrr': 0.9555236416650348, 'rap': 0.7019355584043402, 'translation_completeness': 1.0, 'num_max_output_tokens': 1}\n", "['internlm/internlm2_5-7b-chat/checkpoint-140', '1.08']\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': 0.7318234702626478, 'meteor': 0.3881614120395272, 'spbleu': 11.369735763522288, 'bleu_1': 0.1136973576352228, 'rouge_l': 0.372963223209074, 'ews_score': 0.0785525154457193, 'repetition_score': 5.30891438658429, 'total_repetitions': 5.380406001765225, 'nrr': 0.956752154943067, 'rap': 0.7008483143652524, 'translation_completeness': 1.0, 'num_max_output_tokens': 1}\n", "['internlm/internlm2_5-7b-chat/checkpoint-140', '1.10']\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': 0.7288648442604431, 'meteor': 0.3784182249483568, 'spbleu': 10.377989030628608, 'bleu_1': 0.103779890306286, 'rouge_l': 0.3618424457502351, 'ews_score': 0.0609002647837599, 'repetition_score': 5.318623124448367, 'total_repetitions': 5.379523389232127, 'nrr': 0.957517250993239, 'rap': 0.6985491679556497, 'translation_completeness': 1.0, 'num_max_output_tokens': 1}\n", "['microsoft/Phi-3.5-mini-instruct/checkpoint-210', '1.00']\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': 0.710605339281136, 'meteor': 0.3788926591792472, 'spbleu': 9.70032874202361, 'bleu_1': 0.097003287420236, 'rouge_l': 0.3556134739443916, 'ews_score': 5.393645189761695, 'repetition_score': 13.355692850838482, 'total_repetitions': 18.725507502206533, 'nrr': 0.8597660122942693, 'rap': 0.6176260700063892, 'translation_completeness': 1.0, 'num_max_output_tokens': 4}\n", "['microsoft/Phi-3.5-mini-instruct/checkpoint-210', '1.02']\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': 0.7150978385770836, 'meteor': 0.3741049510326346, 'spbleu': 9.910633597905436, 'bleu_1': 0.0991063359790543, 'rouge_l': 0.3453160556383774, 'ews_score': 3.587819947043248, 'repetition_score': 7.101500441306267, 'total_repetitions': 10.66548984995587, 'nrr': 0.9175946699763368, 'rap': 0.6585326092640689, 'translation_completeness': 1.0, 'num_max_output_tokens': 2}\n", "['microsoft/Phi-3.5-mini-instruct/checkpoint-210', '1.04']\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': 0.7074641684778791, 'meteor': 0.3538698731015666, 'spbleu': 9.19721270538052, 'bleu_1': 0.0919721270538052, 'rouge_l': 0.3225824135517728, 'ews_score': 0.0591350397175639, 'repetition_score': 0.1041482789055604, 'total_repetitions': 0.1571050308914386, 'nrr': 0.9987361275801104, 'rap': 0.7065705888315631, 'translation_completeness': 1.0, 'num_max_output_tokens': 0}\n", "['microsoft/Phi-3.5-mini-instruct/checkpoint-210', '1.06']\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': 0.6962301708225224, 'meteor': 0.3252854575717334, 'spbleu': 6.967166383106307, 'bleu_1': 0.069671663831063, 'rouge_l': 0.2948764736589108, 'ews_score': 0.0414827890556045, 'repetition_score': 0.1270962047661076, 'total_repetitions': 0.1624007060900265, 'nrr': 0.998763066787671, 'rap': 0.695369512998664, 'translation_completeness': 1.0, 'num_max_output_tokens': 0}\n", "['microsoft/Phi-3.5-mini-instruct/checkpoint-210', '1.08']\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': 0.6823413657174107, 'meteor': 0.301599095293242, 'spbleu': 5.452744292893752, 'bleu_1': 0.0545274429289375, 'rouge_l': 0.2726387617958179, 'ews_score': 0.0891438658428949, 'repetition_score': 0.086496028243601, 'total_repetitions': 0.1606354810238305, 'nrr': 0.998836145980547, 'rap': 0.6815476819319042, 'translation_completeness': 1.0, 'num_max_output_tokens': 0}\n", "['microsoft/Phi-3.5-mini-instruct/checkpoint-210', '1.10']\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': 0.6717851540206916, 'meteor': 0.2885734336603344, 'spbleu': 4.751039447225815, 'bleu_1': 0.0475103944722581, 'rouge_l': 0.2604284999048123, 'ews_score': 0.0926743159752868, 'repetition_score': 0.0441306266548985, 'total_repetitions': 0.1368049426301853, 'nrr': 0.9990557762128708, 'rap': 0.6711511378720946, 'translation_completeness': 1.0, 'num_max_output_tokens': 0}\n", "['shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210', '1.00']\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': 0.739080294072365, 'meteor': 0.4490104515425626, 'spbleu': 6.7013404492782405, 'bleu_1': 0.0670134044927823, 'rouge_l': 0.4196181637680596, 'ews_score': 0.4580759046778464, 'repetition_score': 147.07325684024713, 'total_repetitions': 147.50308914386585, 'nrr': 0.4911007104206188, 'rap': 0.4443032291198844, 'translation_completeness': 0.999117387466902, 'num_max_output_tokens': 15}\n", "['shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210', '1.02']\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': 0.743018615750854, 'meteor': 0.4514907128972251, 'spbleu': 8.545954556237808, 'bleu_1': 0.085459545562378, 'rouge_l': 0.4214940415288087, 'ews_score': 1.204766107678729, 'repetition_score': 70.77493380406001, 'total_repetitions': 71.95145631067962, 'nrr': 0.690043648862392, 'rap': 0.544988529750634, 'translation_completeness': 1.0, 'num_max_output_tokens': 6}\n", "['shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210', '1.04']\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': 0.7432195577780335, 'meteor': 0.4517500968367987, 'spbleu': 10.080425294411064, 'bleu_1': 0.1008042529441106, 'rouge_l': 0.4200973007348334, 'ews_score': 0.0132391879964695, 'repetition_score': 36.305383936451896, 'total_repetitions': 36.28331862312445, 'nrr': 0.8189939853994029, 'rap': 0.6201649482285542, 'translation_completeness': 1.0, 'num_max_output_tokens': 6}\n", "['shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210', '1.06']\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': 0.7430821573139815, 'meteor': 0.4484154407825542, 'spbleu': 10.37470506193322, 'bleu_1': 0.1037470506193321, 'rouge_l': 0.4160289393328045, 'ews_score': 1.8137687555163284, 'repetition_score': 28.327449249779345, 'total_repetitions': 30.105913503971756, 'nrr': 0.8401390991362544, 'rap': 0.6333009305326992, 'translation_completeness': 1.0, 'num_max_output_tokens': 3}\n", "['shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210', '1.08']\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': 0.7435937259684909, 'meteor': 0.4407733547418294, 'spbleu': 10.930453247368872, 'bleu_1': 0.1093045324736887, 'rouge_l': 0.4113063412348818, 'ews_score': 0.115622241835834, 'repetition_score': 12.229479258605473, 'total_repetitions': 12.305383936451898, 'nrr': 0.9316478161325272, 'rap': 0.694465603916605, 'translation_completeness': 1.0, 'num_max_output_tokens': 3}\n", "['shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210', '1.10']\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': 0.7427059700687901, 'meteor': 0.4358940590119784, 'spbleu': 11.381344076286156, 'bleu_1': 0.1138134407628615, 'rouge_l': 0.4062980635945339, 'ews_score': 0.0220653133274492, 'repetition_score': 12.23036187113857, 'total_repetitions': 12.216240070609002, 'nrr': 0.9294478058527584, 'rap': 0.6921121706712281, 'translation_completeness': 1.0, 'num_max_output_tokens': 3}\n", "['shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70', '1.00']\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': 0.7222260562908512, 'meteor': 0.4039898602650971, 'spbleu': 13.461179673541356, 'bleu_1': 0.1346117967354136, 'rouge_l': 0.3819960428004565, 'ews_score': 0.0670785525154457, 'repetition_score': 5.950573698146513, 'total_repetitions': 5.991173874669021, 'nrr': 0.9479751065330022, 'rap': 0.6856129761265746, 'translation_completeness': 1.0, 'num_max_output_tokens': 1}\n", "['shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70', '1.02']\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': 0.723643534970515, 'meteor': 0.4051102919608809, 'spbleu': 13.18537912294539, 'bleu_1': 0.1318537912294539, 'rouge_l': 0.3824621732976229, 'ews_score': 0.0732568402471315, 'repetition_score': 5.884377758164166, 'total_repetitions': 5.93468667255075, 'nrr': 0.948235511486112, 'rap': 0.6871375067723534, 'translation_completeness': 1.0, 'num_max_output_tokens': 1}\n", "['shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70', '1.04']\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': 0.7238812581796301, 'meteor': 0.4039456988919502, 'spbleu': 13.314773371306682, 'bleu_1': 0.1331477337130668, 'rouge_l': 0.3813737464821349, 'ews_score': 0.0670785525154457, 'repetition_score': 5.892321270962047, 'total_repetitions': 5.932921447484555, 'nrr': 0.948465147658622, 'rap': 0.6875210990206284, 'translation_completeness': 1.0, 'num_max_output_tokens': 1}\n", "['shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70', '1.06']\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': 0.7252625281686607, 'meteor': 0.4012797167602334, 'spbleu': 13.19924345265053, 'bleu_1': 0.1319924345265053, 'rouge_l': 0.3798291332004637, 'ews_score': 0.0732568402471315, 'repetition_score': 5.897616946160635, 'total_repetitions': 5.93027360988526, 'nrr': 0.9490115727565926, 'rap': 0.6892094870625844, 'translation_completeness': 1.0, 'num_max_output_tokens': 1}\n", "['shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70', '1.08']\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': 0.7261167238322592, 'meteor': 0.3987395126194482, 'spbleu': 12.656486100206328, 'bleu_1': 0.1265648610020633, 'rouge_l': 0.376975448872996, 'ews_score': 0.0661959399823477, 'repetition_score': 5.844660194174757, 'total_repetitions': 5.884377758164166, 'nrr': 0.9498125592809504, 'rap': 0.6905741394859596, 'translation_completeness': 1.0, 'num_max_output_tokens': 1}\n", "['shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70', '1.10']\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': 0.7264630642225547, 'meteor': 0.3964859769229444, 'spbleu': 12.284961706379857, 'bleu_1': 0.1228496170637985, 'rouge_l': 0.3744555065346823, 'ews_score': 0.058252427184466, 'repetition_score': 0.1791703442188879, 'total_repetitions': 0.2109443954104148, 'nrr': 0.9981192505331412, 'rap': 0.7250980532260394, 'translation_completeness': 1.0, 'num_max_output_tokens': 0}\n", "CPU times: user 47.9 s, sys: 315 ms, total: 48.2 s\n", "Wall time: 50.2 s\n" ] }, { "data": { "text/html": [ "
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modelrppcometmeteorspbleubleu_1rouge_lews_scorerepetition_scoretotal_repetitionsnrrraptranslation_completenessnum_max_output_tokens
0internlm/internlm2_5-7b-chat1.000.7358000.42976115.0602270.1506020.4097580.0494269.2356589.2850840.9247500.6824621.0000002
1internlm/internlm2_5-7b-chat1.020.7377190.42466814.7286050.1472860.4063250.0697265.3565755.4210060.9537900.7044041.0000001
2internlm/internlm2_5-7b-chat1.040.7371160.41733513.8464040.1384640.3988120.0688445.3150935.3830540.9549890.7046731.0000001
3internlm/internlm2_5-7b-chat1.060.7338600.39976112.2133750.1221340.3841370.0582525.2753755.3327450.9561760.7023941.0000001
4internlm/internlm2_5-7b-chat1.080.7318230.38816111.3697360.1136970.3729630.0670795.2833195.3451020.9570360.7010471.0000001
5internlm/internlm2_5-7b-chat1.100.7288650.37841810.3779890.1037800.3618420.0520745.2886145.3406880.9578240.6987631.0000001
6microsoft/Phi-3.5-mini-instruct1.000.7106050.3788939.7003290.0970030.3556135.39099712.99735218.3680490.8624430.6192821.0000004
7microsoft/Phi-3.5-mini-instruct1.020.7150980.3741059.9106340.0991060.3453163.5860557.00176510.5675200.9183520.6590311.0000002
8microsoft/Phi-3.5-mini-instruct1.040.7074640.3538709.1972130.0919720.3225820.0511920.0556050.1015000.9991830.7068871.0000000
9microsoft/Phi-3.5-mini-instruct1.060.6962300.3252856.9671660.0696720.2948760.0353050.0679610.0979700.9992540.6957111.0000000
10microsoft/Phi-3.5-mini-instruct1.080.6823410.3015995.4527440.0545270.2726390.0767870.0476610.1129740.9991810.6817831.0000000
11microsoft/Phi-3.5-mini-instruct1.100.6717850.2885734.7510390.0475100.2604280.0803180.0238310.1041480.9992810.6713021.0000000
12shenzhi-wang/Llama3.1-70B-Chinese-Chat1.000.7390800.4490106.7013400.0670130.4196180.367167139.809356140.1579880.5164420.4557060.99911715
13shenzhi-wang/Llama3.1-70B-Chinese-Chat1.020.7430190.4514918.5459550.0854600.4214941.00353067.00353067.9885260.7071150.5543721.0000006
14shenzhi-wang/Llama3.1-70B-Chinese-Chat1.040.7432200.45175010.0804250.1008040.4200970.01059135.19770535.1835830.8244800.6235771.0000006
15shenzhi-wang/Llama3.1-70B-Chinese-Chat1.060.7430820.44841510.3747050.1037470.4160291.80053026.88084728.6566640.8478350.6381931.0000003
16shenzhi-wang/Llama3.1-70B-Chinese-Chat1.080.7435940.44077310.9304530.1093050.4113060.09267412.00794412.0723740.9329420.6953651.0000003
17shenzhi-wang/Llama3.1-70B-Chinese-Chat1.100.7427060.43589411.3813440.1138130.4062980.01765211.91438711.9055600.9312420.6933551.0000003
18shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat1.000.7222260.40399013.4611800.1346120.3819960.0573705.8737865.9179170.9486110.6860491.0000001
19shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat1.020.7236440.40511013.1853790.1318540.3824620.0626655.8402475.8914390.9486130.6873971.0000001
20shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat1.040.7238810.40394613.3147730.1331480.3813740.0573705.8455435.8896730.9488410.6877791.0000001
21shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat1.060.7252630.40128013.1992430.1319920.3798290.0626655.8473085.8843780.9494060.6894821.0000001
22shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat1.080.7261170.39874012.6564860.1265650.3769750.0564875.8208305.8640780.9499860.6906941.0000001
23shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat1.100.7264630.39648612.2849620.1228500.3744560.0494260.0926740.1288610.9988510.7256291.0000000
\n", "
" ], "text/plain": [ " model rpp comet meteor \\\n", "0 internlm/internlm2_5-7b-chat 1.00 0.735800 0.429761 \n", "1 internlm/internlm2_5-7b-chat 1.02 0.737719 0.424668 \n", "2 internlm/internlm2_5-7b-chat 1.04 0.737116 0.417335 \n", "3 internlm/internlm2_5-7b-chat 1.06 0.733860 0.399761 \n", "4 internlm/internlm2_5-7b-chat 1.08 0.731823 0.388161 \n", "5 internlm/internlm2_5-7b-chat 1.10 0.728865 0.378418 \n", "6 microsoft/Phi-3.5-mini-instruct 1.00 0.710605 0.378893 \n", "7 microsoft/Phi-3.5-mini-instruct 1.02 0.715098 0.374105 \n", "8 microsoft/Phi-3.5-mini-instruct 1.04 0.707464 0.353870 \n", "9 microsoft/Phi-3.5-mini-instruct 1.06 0.696230 0.325285 \n", "10 microsoft/Phi-3.5-mini-instruct 1.08 0.682341 0.301599 \n", "11 microsoft/Phi-3.5-mini-instruct 1.10 0.671785 0.288573 \n", "12 shenzhi-wang/Llama3.1-70B-Chinese-Chat 1.00 0.739080 0.449010 \n", "13 shenzhi-wang/Llama3.1-70B-Chinese-Chat 1.02 0.743019 0.451491 \n", "14 shenzhi-wang/Llama3.1-70B-Chinese-Chat 1.04 0.743220 0.451750 \n", "15 shenzhi-wang/Llama3.1-70B-Chinese-Chat 1.06 0.743082 0.448415 \n", "16 shenzhi-wang/Llama3.1-70B-Chinese-Chat 1.08 0.743594 0.440773 \n", "17 shenzhi-wang/Llama3.1-70B-Chinese-Chat 1.10 0.742706 0.435894 \n", "18 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat 1.00 0.722226 0.403990 \n", "19 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat 1.02 0.723644 0.405110 \n", "20 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat 1.04 0.723881 0.403946 \n", "21 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat 1.06 0.725263 0.401280 \n", "22 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat 1.08 0.726117 0.398740 \n", "23 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat 1.10 0.726463 0.396486 \n", "\n", " spbleu bleu_1 rouge_l ews_score repetition_score \\\n", "0 15.060227 0.150602 0.409758 0.049426 9.235658 \n", "1 14.728605 0.147286 0.406325 0.069726 5.356575 \n", "2 13.846404 0.138464 0.398812 0.068844 5.315093 \n", "3 12.213375 0.122134 0.384137 0.058252 5.275375 \n", "4 11.369736 0.113697 0.372963 0.067079 5.283319 \n", "5 10.377989 0.103780 0.361842 0.052074 5.288614 \n", "6 9.700329 0.097003 0.355613 5.390997 12.997352 \n", "7 9.910634 0.099106 0.345316 3.586055 7.001765 \n", "8 9.197213 0.091972 0.322582 0.051192 0.055605 \n", "9 6.967166 0.069672 0.294876 0.035305 0.067961 \n", "10 5.452744 0.054527 0.272639 0.076787 0.047661 \n", "11 4.751039 0.047510 0.260428 0.080318 0.023831 \n", "12 6.701340 0.067013 0.419618 0.367167 139.809356 \n", "13 8.545955 0.085460 0.421494 1.003530 67.003530 \n", "14 10.080425 0.100804 0.420097 0.010591 35.197705 \n", "15 10.374705 0.103747 0.416029 1.800530 26.880847 \n", "16 10.930453 0.109305 0.411306 0.092674 12.007944 \n", "17 11.381344 0.113813 0.406298 0.017652 11.914387 \n", "18 13.461180 0.134612 0.381996 0.057370 5.873786 \n", "19 13.185379 0.131854 0.382462 0.062665 5.840247 \n", "20 13.314773 0.133148 0.381374 0.057370 5.845543 \n", "21 13.199243 0.131992 0.379829 0.062665 5.847308 \n", "22 12.656486 0.126565 0.376975 0.056487 5.820830 \n", "23 12.284962 0.122850 0.374456 0.049426 0.092674 \n", "\n", " total_repetitions nrr rap translation_completeness \\\n", "0 9.285084 0.924750 0.682462 1.000000 \n", "1 5.421006 0.953790 0.704404 1.000000 \n", "2 5.383054 0.954989 0.704673 1.000000 \n", "3 5.332745 0.956176 0.702394 1.000000 \n", "4 5.345102 0.957036 0.701047 1.000000 \n", "5 5.340688 0.957824 0.698763 1.000000 \n", "6 18.368049 0.862443 0.619282 1.000000 \n", "7 10.567520 0.918352 0.659031 1.000000 \n", "8 0.101500 0.999183 0.706887 1.000000 \n", "9 0.097970 0.999254 0.695711 1.000000 \n", "10 0.112974 0.999181 0.681783 1.000000 \n", "11 0.104148 0.999281 0.671302 1.000000 \n", "12 140.157988 0.516442 0.455706 0.999117 \n", "13 67.988526 0.707115 0.554372 1.000000 \n", "14 35.183583 0.824480 0.623577 1.000000 \n", "15 28.656664 0.847835 0.638193 1.000000 \n", "16 12.072374 0.932942 0.695365 1.000000 \n", "17 11.905560 0.931242 0.693355 1.000000 \n", "18 5.917917 0.948611 0.686049 1.000000 \n", "19 5.891439 0.948613 0.687397 1.000000 \n", "20 5.889673 0.948841 0.687779 1.000000 \n", "21 5.884378 0.949406 0.689482 1.000000 \n", "22 5.864078 0.949986 0.690694 1.000000 \n", "23 0.128861 0.998851 0.725629 1.000000 \n", "\n", " num_max_output_tokens \n", "0 2 \n", "1 1 \n", "2 1 \n", "3 1 \n", "4 1 \n", "5 1 \n", "6 4 \n", "7 2 \n", "8 0 \n", "9 0 \n", "10 0 \n", "11 0 \n", "12 15 \n", "13 6 \n", "14 6 \n", "15 3 \n", "16 3 \n", "17 3 \n", "18 1 \n", "19 1 \n", "20 1 \n", "21 1 \n", "22 1 \n", "23 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": [ "
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cometmeteorspbleubleu_1rouge_lews_scorerepetition_scoretotal_repetitionsnrrraptranslation_completenessnum_max_output_tokens
count24.00000024.00000024.00000024.00000024.00000024.00000024.00000024.00000024.00000024.00000024.00000024.000000
mean0.7246250.39780510.8204880.1082050.3732180.55100815.75345716.2917030.9161090.6689720.9999632.250000
std0.0192340.0448722.8225380.0282250.0453541.30363630.17514030.2854990.1079080.0584720.0001803.206651
min0.6717850.2885734.7510390.0475100.2604280.0105910.0238310.0979700.5164420.4557060.9991170.000000
25%0.7204440.3787749.5745500.0957450.3602850.0518535.2813335.3387030.9231500.6682351.0000001.000000
50%0.7276640.40261311.1500950.1115010.3816850.0626655.8428955.8870260.9491230.6886301.0000001.000000
75%0.7380590.43129413.1888450.1318880.4071830.08340711.93777611.9472640.9572330.6993341.0000003.000000
max0.7435940.45175015.0602270.1506020.4214945.390997139.809356140.1579880.9992810.7256291.00000015.000000
\n", "
" ], "text/plain": [ " comet meteor spbleu bleu_1 rouge_l ews_score \\\n", "count 24.000000 24.000000 24.000000 24.000000 24.000000 24.000000 \n", "mean 0.724625 0.397805 10.820488 0.108205 0.373218 0.551008 \n", "std 0.019234 0.044872 2.822538 0.028225 0.045354 1.303636 \n", "min 0.671785 0.288573 4.751039 0.047510 0.260428 0.010591 \n", "25% 0.720444 0.378774 9.574550 0.095745 0.360285 0.051853 \n", "50% 0.727664 0.402613 11.150095 0.111501 0.381685 0.062665 \n", "75% 0.738059 0.431294 13.188845 0.131888 0.407183 0.083407 \n", "max 0.743594 0.451750 15.060227 0.150602 0.421494 5.390997 \n", "\n", " repetition_score total_repetitions nrr rap \\\n", "count 24.000000 24.000000 24.000000 24.000000 \n", "mean 15.753457 16.291703 0.916109 0.668972 \n", "std 30.175140 30.285499 0.107908 0.058472 \n", "min 0.023831 0.097970 0.516442 0.455706 \n", "25% 5.281333 5.338703 0.923150 0.668235 \n", "50% 5.842895 5.887026 0.949123 0.688630 \n", "75% 11.937776 11.947264 0.957233 0.699334 \n", "max 139.809356 140.157988 0.999281 0.725629 \n", "\n", " translation_completeness num_max_output_tokens \n", "count 24.000000 24.000000 \n", "mean 0.999963 2.250000 \n", "std 0.000180 3.206651 \n", "min 0.999117 0.000000 \n", "25% 1.000000 1.000000 \n", "50% 1.000000 1.000000 \n", "75% 1.000000 3.000000 \n", "max 1.000000 15.000000 " ] }, "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(['internlm/internlm2_5-7b-chat', 'microsoft/Phi-3.5-mini-instruct',\n", " 'shenzhi-wang/Llama3.1-70B-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, -0.575 if len(columns) > 1 else -0.35),\n", " )\n", "\n", " plt.show()" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "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": [ "
" ] }, "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": [ "
" ] }, "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": [ "
" ] }, "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": [ "
" ] }, "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": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_metrics_vs_rpp(\n", " metrics_df,\n", " models,\n", " markers,\n", " [\"total_repetitions\", \"nrr\"],\n", " [\"Mean Total Repetitions\", \"Non-Repetitive Ratio\"],\n", ")" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "### Analyzing: internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00\n", "*** Found 3 rows with total_repetitions > 50 for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00\n", "短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n", "================================================================================\n", "short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n", "================================================================================\n", " SHORT LONG SHORT LONG SHORT LONG SHORT SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SH\n", "================================================================================\n", "----detect non-word characters repetition----\n", "----detect text repetitions----\n", "\n", "Group 1 found at 0-11: ` SHORT LONG`\n", "\n", "Group 1 found at 33-39: ` SHORT`\n", "\n", "Group 1 found at 57-62: ` LONG`\n", "\n", "Group 1 found at 67-73: ` SHORT`\n", "\n", "Group 1 found at 85-90: ` LONG`\n", "\n", "Group 1 found at 95-101: ` SHORT`\n", "\n", "Group 1 found at 113-118: ` LONG`\n", "\n", "Group 1 found at 123-129: ` SHORT`\n", "\n", "Group 1 found at 141-146: ` LONG`\n", "\n", "Group 1 found at 151-157: ` SHORT`\n", "\n", "Group 1 found at 169-174: ` LONG`\n", "\n", "Group 1 found at 179-185: ` SHORT`\n", "\n", "Group 1 found at 197-202: ` LONG`\n", "\n", "Group 1 found at 207-213: ` SHORT`\n", "\n", "Group 1 found at 225-230: ` LONG`\n", "\n", "Group 1 found at 235-241: ` SHORT`\n", "\n", "Group 1 found at 253-258: ` LONG`\n", "\n", "Group 1 found at 263-269: ` SHORT`\n", "\n", "Group 1 found at 281-286: ` LONG`\n", "\n", "Group 1 found at 291-297: ` SHORT`\n", "\n", "Group 1 found at 309-314: ` LONG`\n", "\n", "Group 1 found at 319-325: ` SHORT`\n", "\n", "Group 1 found at 337-342: ` LONG`\n", "\n", "Group 1 found at 347-353: ` SHORT`\n", "\n", "Group 1 found at 365-370: ` LONG`\n", "\n", "Group 1 found at 375-381: ` SHORT`\n", "\n", "Group 1 found at 393-398: ` LONG`\n", "\n", "Group 1 found at 403-409: ` SHORT`\n", "\n", "Group 1 found at 421-426: ` LONG`\n", "\n", "Group 1 found at 431-437: ` SHORT`\n", "\n", "Group 1 found at 449-454: ` LONG`\n", "\n", "Group 1 found at 459-465: ` SHORT`\n", "\n", "Group 1 found at 477-482: ` LONG`\n", "\n", "Group 1 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"\n", "Group 1 found at 4929-4934: ` LONG`\n", "\n", "Group 1 found at 4939-4945: ` SHORT`\n", "\n", "Group 1 found at 4957-4962: ` LONG`\n", "\n", "Group 1 found at 4967-4973: ` SHORT`\n", "\n", "Group 1 found at 4985-4990: ` LONG`\n", "\n", "Group 1 found at 4995-5001: ` SHORT`\n", "\n", "Group 1 found at 5013-5018: ` LONG`\n", "\n", "Group 1 found at 5023-5029: ` SHORT`\n", "\n", "Group 1 found at 5041-5046: ` LONG`\n", "\n", "Group 1 found at 5051-5057: ` SHORT`\n", "\n", "Group 1 found at 5069-5074: ` LONG`\n", "\n", "Group 1 found at 5079-5085: ` SHORT`\n", "\n", "Group 1 found at 5097-5102: ` LONG`\n", "\n", "Group 1 found at 5107-5113: ` SHORT`\n", "\n", "Group 1 found at 5125-5130: ` LONG`\n", "\n", "Group 1 found at 5135-5141: ` SHORT`\n", "\n", "Group 1 found at 5153-5158: ` LONG`\n", "\n", "Group 1 found at 5163-5169: ` SHORT`\n", "\n", "Group 1 found at 5181-5186: ` LONG`\n", "\n", "Group 1 found at 5191-5197: ` SHORT`\n", "\n", "Group 1 found at 5209-5214: ` LONG`\n", "\n", "Group 1 found at 5219-5225: ` SHORT`\n", "\n", "Group 1 found at 5237-5242: ` LONG`\n", "\n", "Group 1 found at 5247-5253: ` SHORT`\n", "\n", "Group 1 found at 5265-5270: ` LONG`\n", "\n", "Group 1 found at 5275-5281: ` SHORT`\n", "\n", "Group 1 found at 5293-5298: ` LONG`\n", "\n", "Group 1 found at 5303-5309: ` SHORT`\n", "\n", "Group 1 found at 5321-5326: ` LONG`\n", "\n", "Group 1 found at 5331-5337: ` SHORT`\n", "\n", "Group 1 found at 5349-5354: ` LONG`\n", "\n", "Group 1 found at 5359-5365: ` SHORT`\n", "\n", "Group 1 found at 5377-5382: ` LONG`\n", "\n", "Group 1 found at 5387-5393: ` SHORT`\n", "\n", "Group 1 found at 5405-5410: ` LONG`\n", "\n", "Group 1 found at 5415-5421: ` SHORT`\n", "\n", "Group 1 found at 5433-5438: ` LONG`\n", "\n", "Group 1 found at 5443-5449: ` SHORT`\n", "\n", "Group 1 found at 5461-5466: ` LONG`\n", "\n", "Group 1 found at 5471-5477: ` SHORT`\n", "\n", "Group 1 found at 5489-5494: ` LONG`\n", "\n", "Group 1 found at 5499-5505: ` SHORT`\n", "\n", "Group 1 found at 5517-5522: ` LONG`\n", "\n", "Group 1 found at 5527-5533: ` SHORT`\n", "\n", "Group 1 found at 5545-5550: ` LONG`\n", "\n", "Group 1 found at 5555-5561: ` SHORT`\n", "\n", "Group 1 found at 5573-5578: ` LONG`\n", "\n", "Group 1 found at 5583-5589: ` SHORT`\n", "\n", "Group 1 found at 5601-5606: ` LONG`\n", "\n", "Group 1 found at 5611-5617: ` SHORT`\n", "\n", "Group 1 found at 5629-5634: ` LONG`\n", "\n", "Group 1 found at 5639-5645: ` SHORT`\n", "\n", "Group 1 found at 5657-5662: ` LONG`\n", "\n", "Group 1 found at 5667-5673: ` SHORT`\n", "\n", "Group 1 found at 5685-5690: ` LONG`\n", "\n", "Group 1 found at 5695-5701: ` SHORT`\n", "\n", "Group 1 found at 5713-5718: ` LONG`\n", "\n", "Group 1 found at 5723-5729: ` SHORT`\n", "\n", "Group 1 found at 5741-5746: ` LONG`\n", "\n", "Group 1 found at 5751-5757: ` SHORT`\n", "\n", "Group 1 found at 5769-5774: ` LONG`\n", "\n", "Group 1 found at 5779-5785: ` SHORT`\n", "\n", "Group 1 found at 5797-5802: ` LONG`\n", "\n", "Group 1 found at 5807-5813: ` SHORT`\n", "\n", "Group 1 found at 5825-5830: ` LONG`\n", "\n", "Group 1 found at 5835-5841: ` SHORT`\n", "\n", "Group 1 found at 5853-5858: ` LONG`\n", "\n", "Group 1 found at 5863-5869: ` SHORT`\n", "\n", "Group 1 found at 5881-5886: ` LONG`\n", "\n", "Group 1 found at 5891-5897: ` SHORT`\n", "\n", "Group 1 found at 5909-5914: ` LONG`\n", "\n", "Group 1 found at 5919-5925: ` SHORT`\n", "\n", "Group 1 found at 5937-5942: ` LONG`\n", "\n", "Group 1 found at 5947-5953: ` SHORT`\n", "\n", "Group 1 found at 5965-5970: ` LONG`\n", "\n", "Group 1 found at 5975-5981: ` SHORT`\n", "\n", "Group 1 found at 5993-5998: ` LONG`\n", "\n", "Group 1 found at 6003-6009: ` SHORT`\n", "\n", "Group 1 found at 6021-6026: ` LONG`\n", "\n", "Group 1 found at 6031-6037: ` SHORT`\n", "\n", "Group 1 found at 6049-6054: ` LONG`\n", "\n", "Group 1 found at 6059-6065: ` SHORT`\n", "\n", "Group 1 found at 6077-6082: ` LONG`\n", "\n", "Group 1 found at 6087-6093: ` SHORT`\n", "\n", "Group 1 found at 6105-6110: ` LONG`\n", "\n", "Group 1 found at 6115-6121: ` SHORT`\n", "\n", "Group 1 found at 6133-6138: ` LONG`\n", "\n", "Group 1 found at 6143-6149: ` SHORT`\n", "\n", "Group 1 found at 6161-6166: ` LONG`\n", "\n", "Group 1 found at 6171-6177: ` SHORT`\n", "\n", "Group 1 found at 6189-6194: ` LONG`\n", "\n", "Group 1 found at 6199-6205: ` SHORT`\n", "\n", "Group 1 found at 6217-6222: ` LONG`\n", "\n", "Group 1 found at 6227-6233: ` SHORT`\n", "\n", "Group 1 found at 6245-6250: ` LONG`\n", "\n", "Group 1 found at 6255-6261: ` SHORT`\n", "\n", "Group 1 found at 6273-6278: ` LONG`\n", "\n", "Group 1 found at 6283-6289: ` SHORT`\n", "\n", "Group 1 found at 6301-6306: ` LONG`\n", "\n", "Group 1 found at 6311-6317: ` SHORT`\n", "\n", "Group 1 found at 6329-6334: ` LONG`\n", "\n", "Group 1 found at 6339-6345: ` SHORT`\n", "\n", "Group 1 found at 6357-6362: ` LONG`\n", "\n", "Group 1 found at 6367-6373: ` SHORT`\n", "\n", "Group 1 found at 6385-6390: ` LONG`\n", "\n", "Group 1 found at 6395-6401: ` SHORT`\n", "\n", "Group 1 found at 6413-6418: ` LONG`\n", "\n", "Group 1 found at 6423-6429: ` SHORT`\n", "\n", "Group 1 found at 6441-6446: ` LONG`\n", "\n", "Group 1 found at 6451-6457: ` SHORT`\n", "\n", "Group 1 found at 6469-6474: ` LONG`\n", "\n", "Group 1 found at 6479-6485: ` SHORT`\n", "\n", "Group 1 found at 6497-6502: ` LONG`\n", "\n", "Group 1 found at 6507-6513: ` SHORT`\n", "\n", "Group 1 found at 6525-6530: ` LONG`\n", "\n", "Group 1 found at 6535-6541: ` SHORT`\n", "\n", "Group 1 found at 6553-6558: ` LONG`\n", "\n", "Group 1 found at 6563-6569: ` SHORT`\n", "\n", "Group 1 found at 6581-6586: ` LONG`\n", "\n", "Group 1 found at 6591-6597: ` SHORT`\n", "\n", "Group 1 found at 6609-6614: ` LONG`\n", "\n", "Group 1 found at 6619-6625: ` SHORT`\n", "\n", "Group 1 found at 6637-6642: ` LONG`\n", "\n", "Group 1 found at 6647-6653: ` SHORT`\n", "\n", "Group 1 found at 6665-6670: ` LONG`\n", "\n", "Group 1 found at 6675-6681: ` SHORT`\n", "\n", "Group 1 found at 6693-6698: ` LONG`\n", "\n", "Group 1 found at 6703-6709: ` SHORT`\n", "\n", "Group 1 found at 6721-6726: ` LONG`\n", "\n", "Group 1 found at 6731-6737: ` SHORT`\n", "\n", "Group 1 found at 6749-6754: ` LONG`\n", "\n", "Group 1 found at 6759-6765: ` SHORT`\n", "\n", "Group 1 found at 6777-6782: ` LONG`\n", "\n", "Group 1 found at 6787-6793: ` SHORT`\n", "\n", "Group 1 found at 6805-6810: ` LONG`\n", "\n", "Group 1 found at 6815-6821: ` SHORT`\n", "\n", "Group 1 found at 6833-6838: ` LONG`\n", "\n", "Group 1 found at 6843-6849: ` SHORT`\n", "\n", "Group 1 found at 6861-6866: ` LONG`\n", "\n", "Group 1 found at 6871-6877: ` SHORT`\n", "\n", "Group 1 found at 6889-6894: ` LONG`\n", "\n", "Group 1 found at 6899-6905: ` SHORT`\n", "\n", "Group 1 found at 6917-6922: ` LONG`\n", "\n", "Group 1 found at 6927-6933: ` SHORT`\n", "\n", "Group 1 found at 6945-6950: ` LONG`\n", "\n", "Group 1 found at 6955-6961: ` SHORT`\n", "\n", "Group 1 found at 6973-6978: ` LONG`\n", "\n", "Group 1 found at 6983-6989: ` SHORT`\n", "\n", "Group 1 found at 7001-7006: ` LONG`\n", "\n", "Group 1 found at 7011-7017: ` SHORT`\n", "\n", "Group 1 found at 7029-7034: ` LONG`\n", "\n", "Group 1 found at 7039-7045: ` SHORT`\n", "\n", "Group 1 found at 7057-7062: ` LONG`\n", "\n", "Group 1 found at 7067-7073: ` SHORT`\n", "\n", "Group 1 found at 7085-7090: ` LONG`\n", "\n", "Group 1 found at 7095-7101: ` SHORT`\n", "\n", "Group 1 found at 7113-7118: ` LONG`\n", "\n", "Group 1 found at 7123-7129: ` SHORT`\n", "\n", "Group 1 found at 7141-7146: ` LONG`\n", "\n", "Group 1 found at 7151-7157: ` SHORT`\n", "(0, 4352, 4352)\n", "“猛捅——猛捅——”\n", "================================================================================\n", "'Poo-pah – poo-pah –'\n", "================================================================================\n", " 'Stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab, stab,\n", "================================================================================\n", "----detect non-word characters repetition----\n", "----detect text repetitions----\n", " 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 SHORT SHORT SHORT SHORT SHORT LONG SHORT SHORT SHORT SHORT SHORT SHORT LONG SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SH\n", "================================================================================\n", "----detect non-word characters repetition----\n", "----detect text repetitions----\n", "\n", "Group 1 found at 0-11: ` SHORT LONG`\n", "\n", "Group 1 found at 33-39: ` SHORT`\n", "\n", "Group 1 found at 151-157: ` SHORT`\n", "(0, 6087, 6087)\n", "老头子跪在地上，哀求道：“八路老爷饶命，八路老爷饶命……”\n", "================================================================================\n", "He rose to his knees and begged, 'Spare me, Eighth Route Master, spare me!'\n", "================================================================================\n", " The old man knelt on the ground and begged for his life: 'Please spare my life, please spare my life, please spare my life, please spare my life . . .'\n", "================================================================================\n", "----detect non-word characters repetition----\n", "removed non-word characters repetition: 6\n", "----detect text repetitions----\n", " 50 for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.04\n", "短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n", "================================================================================\n", "short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n", "================================================================================\n", " SHORT LONG SHORT LONG SHORT LONG SHORT SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT LONG LONG SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SH\n", "================================================================================\n", "----detect non-word characters repetition----\n", "----detect text repetitions----\n", "\n", "Group 1 found at 0-11: ` SHORT LONG`\n", "\n", "Group 1 found at 33-39: ` SHORT`\n", "\n", "Group 1 found at 57-62: ` LONG`\n", "\n", "Group 1 found at 67-73: ` SHORT`\n", "\n", "Group 1 found at 85-90: ` LONG`\n", "\n", "Group 1 found at 95-101: ` SHORT`\n", "\n", "Group 1 found at 113-118: ` LONG`\n", "\n", "Group 1 found at 123-129: ` SHORT`\n", "\n", "Group 1 found at 141-146: ` LONG`\n", "\n", "Group 1 found at 151-157: ` SHORT`\n", "\n", "Group 1 found at 169-174: ` LONG`\n", " 50 for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06\n", "短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n", "================================================================================\n", "short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n", "================================================================================\n", " SHORT LONG SHORT LONG SHORT LONG SHORT SHORT SHORT SHORT SHORT SHORT LONG SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT LONG SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SH\n", "================================================================================\n", "----detect non-word characters repetition----\n", "----detect text repetitions----\n", "\n", "Group 1 found at 0-11: ` SHORT LONG`\n", "\n", "Group 1 found at 33-39: ` SHORT`\n", "\n", "Group 1 found at 211-217: ` SHORT`\n", "(0, 6057, 6057)\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: SHORT LONG SHORT LONG SHORT LONG SHORT SHORT SHORT SHORT SHORT SHORT LONG SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT LONG SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SH\n", "--------------------------------------------------\n", "output_tokens-internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06: 2049\n", "\n", "*** Found 0 rows with incomplete translations for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06\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 SHORT SHORT SHORT SHORT SHORT LONG SHORT SHORT SHORT SHORT SHORT SHORT LONG SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SH\n", "================================================================================\n", "----detect non-word characters repetition----\n", "----detect text repetitions----\n", "\n", "Group 1 found at 0-11: ` SHORT LONG`\n", "\n", "Group 1 found at 33-39: ` SHORT`\n", "\n", "Group 1 found at 151-157: ` SHORT`\n", "(0, 6087, 6087)\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 SHORT SHORT SHORT SHORT SHORT LONG SHORT SHORT SHORT SHORT SHORT SHORT LONG SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SH\n", "--------------------------------------------------\n", "output_tokens-internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.08: 2049\n", "\n", "*** Found 0 rows with incomplete translations for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.08\n", "### Analyzing: internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10\n", "*** Found 1 rows with total_repetitions > 50 for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10\n", "短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n", "================================================================================\n", "short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n", "================================================================================\n", " SHORT LONG SHORT LONG SHORT LONG SHORT SHORT SHORT SHORT SHORT SHORT LONG SHORT SHORT SHORT SHORT SHORT SHORT LONG SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SH\n", "================================================================================\n", "----detect non-word characters repetition----\n", "----detect text repetitions----\n", "\n", "Group 1 found at 0-11: ` SHORT LONG`\n", "\n", "Group 1 found at 33-39: ` SHORT`\n", "\n", "Group 1 found at 151-157: ` SHORT`\n", "(0, 6087, 6087)\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: SHORT LONG SHORT LONG SHORT LONG SHORT SHORT SHORT SHORT SHORT SHORT LONG SHORT SHORT SHORT SHORT SHORT SHORT LONG SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SHORT SH\n", "--------------------------------------------------\n", "output_tokens-internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10: 2049\n", "\n", "*** Found 0 rows with incomplete translations for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10\n", "### Analyzing: microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.00\n", "*** Found 5 rows with total_repetitions > 50 for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.00\n", "那婆娘是个寡妇，泼得厉害。\n", "================================================================================\n", "The woman was a widow, a real bitch.\n", "================================================================================\n", "She was a widow and had a temper.\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", 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"\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "================================================================================\n", "----detect non-word characters repetition----\n", "removed non-word characters repetition: 2038\n", "----detect text repetitions----\n", "(2038, 0, 2038)\n", "虽然我奶奶与他已经在高粱地里凤凰和谐，在那个半是痛苦半是幸福的庄严过程中，我奶奶虽然也怀上了我的功罪参半但毕竟是高密东北乡一代风流的父亲，但那时奶奶是单家的明媒正娶的媳妇，爷爷与她总归是桑间濮上之合，带着相当程度的随意性偶然性不稳定性，况且我父亲也没落土，所以，写到那时候的事，我还是称呼他余占鳌更为准确。\n", "================================================================================\n", "Even though by then he and Grandma had already done the phoenix dance in the sorghum field, and even though, in the solemn course of suffering and joy, she had conceived my father, whose life was a mixture of achievements and sin (in the final analysis, he gained distinction among his generation of citizens of Northeast Gaomi Township), she had nonetheless been legally married into the Shan family. So she and Granddad were adulterers, their relationship marked by measures of spontaneity, chance, and uncertainty. And since Father wasn't born while they were together, accuracy demands that I refer to Granddad as Yu Zhan'ao in writing about this period.\n", "================================================================================\n", "Even though my grandmother had been with him in the sorghum field, where she had been in a state of half-pain and half-joy, she had still been a father to me, and so I called him Yu Zhan'ao. But at that time she was the wife of a man who had been married to her for a long time, and she was the only wife of a man who had been married to her for a long time. Her husband was a man of the same generation as Yu Zhan'ao, and he had been married to her for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been married in a village in the north of the county, and they had been married for a long time. They had been\n", "================================================================================\n", "----detect non-word characters repetition----\n", "----detect text repetitions----\n", "\n", "Group 1 found at 73-79: `, long`\n", "(0, 6116, 6116)\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", "I heard my great-grandfather's tongue twist as he said, 'Miss . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .\n", "================================================================================\n", "----detect non-word characters repetition----\n", "removed non-word characters repetition: 4059\n", "----detect text repetitions----\n", "(4059, 0, 4059)\n", "顾炎武举起酒杯，高声吟道：\n", "================================================================================\n", "Gu Yanwu raised his wine-cup and, in ringing tones, recited the following couplet:\n", "================================================================================\n", "Gu Yanwu raised his cup and recited: 'To the wine that has been drunk, to the wine that is yet to be drunk, to the wine that has been lost, to the wine that is yet to be lost, to the wine that has been forgotten, to the wine that is yet to be forgotten, to the wine that has been drunk, to the wine that is yet to be drunk, to the wine that has been lost, to the wine that is yet to be lost, to the wine that has been forgotten, to the wine that is yet to be forgotten.'\n", "================================================================================\n", "----detect non-word characters repetition----\n", "----detect text repetitions----\n", " 50 for microsoft/Phi-3.5-mini-instruct/checkpoint-210/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 and long, short and long, short and long, long and short, long and short, short and long, short and long, long and short, short and long, long and short, short and long, long and short, long and short, long and short, short and long, short and long, long and short, short and long, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, 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 non-word characters repetition----\n", "----detect text repetitions----\n", "\n", "Group 1 found at 0-14: `Short and long`\n", "\n", "Group 1 found at 46-62: `, long and short`\n", "\n", "Group 1 found at 78-94: `, short and long`\n", "\n", "Group 1 found at 174-190: `, long and short`\n", "\n", "Group 1 found at 222-238: `, short and long`\n", "\n", "Group 1 found at 264-270: ` short`\n", "\n", "Group 1 found at 281-286: ` long`\n", "= 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: Short and long, short and long, short and long, long and short, long and short, short and long, short and long, long and short, short and long, long and short, short and long, long and short, long and short, long and short, short and long, short and long, long and short, short and long, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, 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: I heard my great-grandfather's tongue twist and turn as he said, 'Miss . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .\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 0 rows with total_repetitions > 50 for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.04\n", "\n", "*** Found 0 rows with output_tokens >= 2048 for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.04\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 0 rows with total_repetitions > 50 for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.06\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 0 rows with total_repetitions > 50 for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.08\n", "\n", "*** Found 0 rows with output_tokens >= 2048 for microsoft/Phi-3.5-mini-instruct/checkpoint-210/rpp-1.08\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 30 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00\n", "韦小宝听他接连提到皇上，心念一动：“难道这里是皇宫？\n", "================================================================================\n", "Something was beginning to fall into place in Trinket's mind, with all these references to 'His Majesty'. 'Could this be the Palace, the Forbidden City itself!' he thought silently to himself.\n", "================================================================================\n", " Hearing the old eunuch's repeated references to 'His Majesty', Trinket wondered if he might be in the Palace. 'Is this the Emperor's Palace?' he asked. 'Yes, it is,'said the old eunuch. 'You are in the Upper Library.''What's that?' 'It's a place where His Majesty keeps his books.''What's he want to keep books for?''So that he can read them.''Why does he want to read books?''Because he likes to.''I like reading too,'said Trinket. 'But I don't keep books. I just read other people's.''Well, you're not the Emperor,'said the old eunuch. 'The Emperor has to keep books so that he can read them whenever he wants to.''I see,'said Trinket. 'Well, I suppose that's all right then.''Yes,'said the old eunuch. 'It's all right.''But what's he want to keep me here for?' 'Because he wants to see you.''What does he want to see me for?' 'Because he wants to.''I see,'said Trinket. 'Well, I suppose that's all right then.''Yes,'said the old eunuch. 'It's all right.''But what's he want to see me for?' 'Because he wants to.''I see,'said Trinket. 'Well, I suppose that's all right then.''Yes,'said the old eunuch. 'It's all right.''But what's he want to see me for?' 'Because he wants to.''I see,'said Trinket. 'Well, I suppose that's all right then.''Yes,'said the old eunuch. 'It's all right.''But what's he want to see me for?' 'Because he wants to.''I see,'said Trinket. 'Well, I suppose that's all right then.''Yes,'said the old eunuch. 'It's all right.''But what's he want to see me for?' 'Because he wants to.''I see,'said Trinket. 'Well, I suppose that's all right then.''Yes,'said the old eunuch. 'It's all right.''But what's he want to see me for?' 'Because he wants to.''I see,'said Trinket. 'Well, I suppose that's all right then.''Yes,'said the old eunuch. 'It's all right.''But what's he want to see me for?' 'Because he wants to.''I see,'said Trinket. 'Well, I suppose that's all right then.''Yes,'said the old eunuch. 'It's all right.''But what's he want to see me for?' 'Because he wants to.''I see,'said Trinket. 'Well, I suppose that's all right then.''Yes,'said the old eunuch. 'It's all right.''But what's he want to see me for?' 'Because he wants to.''I see,'said Trinket. 'Well, I suppose that's all right then.''Yes,'said the old eunuch. 'It's all right.''But what's he want to see me for?' 'Because he wants to.''I see,'said Trinket. 'Well, I suppose that's all right then.''Yes,'said the old eunuch. 'It's all right.''But what's he want to see me for?' 'Because he wants to.''I see,'said Trinket. 'Well, I suppose that's all right then.''Yes,'said the old eunuch. 'It's all right.''But what's he want to see me for?' 'Because he wants to.''I see,'said Trinket. 'Well, I suppose that's all right then.''Yes,'said the old eunuch. 'It's all right.''But what's he want to see me for?' 'Because he wants to.''I see,'said Trinket. 'Well, I suppose that's all right then.''Yes,'said the old eunuch. 'It's all right.''But what's he want to see me for?' 'Because he wants to.''I see,'said Trinket. 'Well, I suppose that's all right then.''Yes,'said the old eunuch. 'It's all right.''But what's he want to see me for?' 'Because he wants to.''I see,'said Trinket. 'Well, I suppose that's all right then.''Yes,'said the old eunuch. 'It's all right.''But what's he want to see me for?' 'Because he wants to.''I see,'said Trinket. 'Well, I suppose that's all right then.''Yes,'said the old eunuch. 'It's all right.''But what's he want to see me for?' 'Because he wants to.''I see,'said Trinket. 'Well, I suppose that's all right then.''Yes,'said the old eunuch. 'It's all right.''But what's he want to see me for?' 'Because he wants to.''I see,'said Trinket. 'Well, I suppose that's all right then.''Yes,'said the old eunuch. 'It's all right.''But what's he want to see me for?' 'Because he wants to.''I see,'said Trinket. 'Well, I suppose that's all right then.''Yes,'said the old eunuch. 'It's all right.''But what's he want to see me for?' 'Because he wants to.''I see,'said Trinket. 'Well, I suppose that's all right then.''Yes,'said the old eunuch. 'It's all right.''But what's he want to see me for?' 'Because he wants to.''I see,'said Trinket. 'Well, I suppose that's all right then.''Yes,'said the old eunuch. 'It's all right.''But what's he want to see me for?' 'Because he wants to.''I see,'said Trinket. 'Well, I suppose that's all right then.''Yes,'said the old eunuch. 'It's all right.''But what's he want to see me for?' 'Because he wants to.''I see,'said Trinket. 'Well, I suppose that's all right then.''Yes,'said the old eunuch. 'It's all right.''But what's he want to see me for?' 'Because he wants to.''I see,'said Trinket. 'Well, I suppose that's all right then.''Yes,'said the old eunuch. 'It's all right.''But what's he want to see me for?' 'Because he wants to.''I see,'said Trinket. 'Well, I suppose that's all right then.''Yes,'said the old eunuch. 'It's all right.''But what's he want to see me for?' 'Because he wants to.''I see,'said Trinket. 'Well, I suppose that's all right then.''Yes,'said the old eunuch. 'It's all right.''But what's he want to see me for?' 'Because he wants to.''I see,'said Trinket. 'Well, I suppose that's all right then.''Yes,'said the old eunuch. 'It's all right.''But what's he want to see me for?' 'Because he wants to.''I see,'said Trinket. 'Well, I suppose that's all right then.''Yes,'said the old eunuch. 'It's all right.''But what's he want to see me for?' 'Because he wants to.''I see,'said Trinket. 'Well, I suppose that's all right then.''Yes,'said the old eunuch. 'It's all right.''But what's he want to see me for?' 'Because he wants to.''I see,'said Trinket. 'Well, I suppose that's all right then.''Yes,'said the old eunuch. 'It's all right.''But what's he want to see me for?' 'Because he wants to.''I see,'said Trinket. 'Well, I suppose that's all right then.''Yes,'said the old eunuch. 'It's all right.''But what's he want to see me for?'\n", "================================================================================\n", "----detect non-word characters repetition----\n", "----detect text repetitions----\n", "\n", "Group 1 found at 112-117: `Is th`\n", "\n", "Group 1 found at 804-967: `s he want to see me for?' 'Because he wants to.''I see,'said Trinket. 'Well, I suppose that's all right then.''Yes,'said the old eunuch. 'It's all right.''But what`\n", "(0, 4925, 4925)\n", "海老公道：“哼，掀住肩头有什么用？\n", "================================================================================\n", "'That's no good!\n", "================================================================================\n", " 'Humph! What's the sense in carrying it on your shoulder? he said. 'You'd better let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I\n", "================================================================================\n", "----detect non-word characters repetition----\n", "----detect text repetitions----\n", "\n", "Group 1 found at 81-142: ` let me take it. I can carry it for you. It's heavy, isn't it`\n", "(0, 6200, 6200)\n", "宝钗见贾环急了，便瞅了莺儿一眼，说道：“越大越没规矩!\n", "================================================================================\n", "Bao-chai could see that Jia Huan was rattled, and darting a sharp look at Oriole, commanded her to yield. 'You grow more unmannerly every day,' she told her.\n", "================================================================================\n", " Bao-chai saw that Jia Huan was getting angry and gave a little glance to Oriole. 'You're getting more and more unmannerly the older you get! she said. 'What do you want to go asking questions like that for? 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to\n", "================================================================================\n", "----detect non-word characters repetition----\n", "----detect text repetitions----\n", "\n", "Group 1 found at 207-271: ` 'I'm sure you didn't mean any harm, but you ought to be careful`\n", "(0, 7085, 7085)\n", "总舵主点头道：“正是！\n", "================================================================================\n", "The Helmsman nodded. 'Exactly.\n", "================================================================================\n", " The Helmsman nodded. 'Precisely. 'That's what I meant. 'It's the way of the world. 'The way of the world. 'The way of the world... 'He seemed to be talking to himself. 'But we mustn't let it get us down. 'We must keep our chins up. 'We must keep smiling. 'We must keep smiling... 'He was smiling himself now, a rather ghastly smile. 'We must keep smiling, even in the face of death. 'That's the way to live. 'That's the way to live... 'He was smiling still, but there was a hint of sadness in his voice. 'That's the way to live... 'He seemed to be smiling at some private joke. 'That's the way to live... 'He was smiling, but his eyes were wet. 'That's the way to live... 'He was smiling, but there was a hint of pleading in his voice. 'That's the way to live... 'He was smiling, but his face was deathly pale. 'That's the way to live... 'He was smiling, but his eyes were closed. 'That's the way to live... 'He was smiling, but his breathing had stopped. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to live... 'He was smiling, but he was dead. 'That's the way to\n", "================================================================================\n", "----detect non-word characters repetition----\n", "removed non-word characters repetition: 388\n", "----detect text repetitions----\n", "\n", "Group 1 found at 62-82: `the way of the world`\n", "\n", "Group 1 found at 227-250: `. 'We must keep smiling`\n", "\n", "Group 1 found at 374-399: `. 'That's the way to live`\n", "\n", "Group 1 found at 918-975: `d. 'That's the way to live\tHe was smiling, but he was dea`\n", "(388, 5053, 5441)\n", "黄宗羲道：“我二人来此，乃是为了二瞻先生的那位本家伊璜先生。\n", "================================================================================\n", "'It has to do with Erzhan's kinsman Yihuang, ' said Huang.\n", "================================================================================\n", " 'We have come here because of a member of Mr Erzhan's family,'said Huang. 'A Mr Ye Liang.''I know of no such person,'said the old eunuch. 'He is a cousin of Mr Erzhan's,'said Huang. 'He is now in prison.''I know nothing about that,'said the old eunuch. 'But I can tell you this: Mr Erzhan has no cousin in prison.''Then perhaps he is a more distant relative,'said Huang. 'But he is certainly a member of Mr Erzhan's family.''I know nothing about that,'said the old eunuch. 'But I can tell you this: Mr Erzhan has no relative in prison.''Then perhaps he is a friend,'said Huang. 'But he is certainly a close friend of Mr Erzhan's.''I know nothing about that,'said the old eunuch. 'But I can tell you this: Mr Erzhan has no friend in prison.''Then perhaps he is an acquaintance,'said Huang. 'But he is certainly an acquaintance of Mr Erzhan's.''I know nothing about that,'said the old eunuch. 'But I can tell you this: Mr Erzhan has no acquaintance in prison.''Then perhaps he is a guest,'said Huang. 'But he is certainly a guest of Mr Erzhan's.''I know nothing about that,'said the old eunuch. 'But I can tell you this: Mr Erzhan has no guest in prison.''Then perhaps he is a visitor,'said Huang. 'But he is certainly a visitor of Mr Erzhan's.''I know nothing about that,'said the old eunuch. 'But I can tell you this: Mr Erzhan has no visitor in prison.''Then perhaps he is a servant,'said Huang. 'But he is certainly a servant of Mr Erzhan's.''I know nothing about that,'said the old eunuch. 'But I can tell you this: Mr Erzhan has no servant in prison.''Then perhaps he is a slave,'said Huang. 'But he is certainly a slave of Mr Erzhan's.''I know nothing about that,'said the old eunuch. 'But I can tell you this: Mr Erzhan has no slave in prison.''Then perhaps he is a retainer,'said Huang. 'But he is certainly a retainer of Mr Erzhan's.''I know nothing about that,'said the old eunuch. 'But I can tell you this: Mr Erzhan has no retainer in prison.''Then perhaps he is a dependent,'said Huang. 'But he is certainly a dependent of Mr Erzhan's.''I know nothing about that,'said the old eunuch. 'But I can tell you this: Mr Erzhan has no dependent in prison.''Then perhaps he is a protégé,'said Huang. 'But he is certainly a protégé of Mr Erzhan's.''I know nothing about that,'said the old eunuch. 'But I can tell you this: Mr Erzhan has no protégé in prison.''Then perhaps he is a ward,'said Huang. 'But he is certainly a ward of Mr Erzhan's.''I know nothing about that,'said the old eunuch. 'But I can tell you this: Mr Erzhan has no ward in prison.''Then perhaps he is a client,'said Huang. 'But he is certainly a client of Mr Erzhan's.''I know nothing about that,'said the old eunuch. 'But I can tell you this: Mr Erzhan has no client in prison.''Then perhaps he is a hanger-on,'said Huang. 'But he is certainly a hanger-on of Mr Erzhan's.''I know nothing about that,'said the old eunuch. 'But I can tell you this: Mr Erzhan has no hanger-on in prison.''Then perhaps he is a follower,'said Huang. 'But he is certainly a follower of Mr Erzhan's.''I know nothing about that,'said the old eunuch. 'But I can tell you this: Mr Erzhan has no follower in prison.''Then perhaps he is an admirer,'said Huang. 'But he is certainly an admirer of Mr Erzhan's.''I know nothing about that,'said the old eunuch. 'But I can tell you this: Mr Erzhan has no admirer in prison.''Then perhaps he is a partisan,'said Huang. 'But he is certainly a partisan of Mr Erzhan's.''I know nothing about that,'said the old eunuch. 'But I can tell you this: Mr Erzhan has no partisan in prison.''Then perhaps he is a sympathizer,'said Huang. 'But he is certainly a sympathizer of Mr Erzhan's.''I know nothing about that,'said the old eunuch. 'But I can tell you this: Mr Erzhan has no sympathizer in prison.''Then perhaps he is a well-wisher,'said Huang. 'But he is certainly a well-wisher of Mr Erzhan's.''I know nothing about that,'said the old eunuch. 'But I can tell you this: Mr Erzhan has no well-wisher in prison.''Then perhaps he is a friend of a friend,'said Huang. 'But he is certainly a friend of a friend of Mr Erzhan's.''I know nothing about that,'said the old eunuch. 'But I can tell you this: Mr Erzhan has no friend of a friend in prison.''Then perhaps he is a friend of a friend of a friend,'said Huang. 'But he is certainly a friend of a friend of a friend of Mr Erzhan's.''I know nothing about that,'said the old eunuch. 'But I can tell you this: Mr Erzhan has no friend of a friend of a friend in prison.''Then perhaps he is a friend of a friend of a friend of a friend,'said Huang. 'But he is certainly a friend of a friend of a friend of a friend of Mr Erzhan's.''I know nothing about that,'said the old eunuch. 'But I can tell you this: Mr Erzhan has no friend of a friend of a friend of a friend in prison.''Then perhaps he is a friend of a friend of a friend of a friend of a friend,'said Huang. 'But he is certainly a friend of a friend of a friend of a friend of a friend of Mr Erzhan's.''I know nothing about that,'said the old eunuch. 'But I can tell you this: Mr Erzhan has no friend of a friend of a friend of a friend of a friend in prison.''Then perhaps he is a friend of a friend of a friend of a friend of a friend of a friend,'said Huang. 'But he is certainly a friend of a friend of a friend of a friend of a friend of a friend of Mr Erzhan's.''I know nothing about that,'said the old eunuch. 'But I can tell you this: Mr Erzhan has no friend of a friend of a friend of a friend of a friend of a friend of a friend in prison.''Then perhaps he is a friend of a friend of a friend of a friend of a friend of a friend of a friend of a friend,'said Huang. 'But he is certainly a friend of a friend of a friend of a friend of a friend of a friend of a friend of a friend of Mr Erzhan's.''I know nothing about that,'said the old eunuch. 'But I can tell you this: Mr Erzhan has no friend of a friend of a friend of a friend of a friend of a friend of a friend of a friend of a friend in prison.''Then perhaps he is a friend of a friend of a friend of a friend of a friend of a friend of a friend of a friend of a friend of a friend,'said Huang. 'But he is certainly a friend of a friend of a friend of a friend of a friend of a friend of a friend of a friend of a friend of a friend of Mr Erzhan's.''I know nothing about that,'said the old eunuch. 'But I can tell you this: Mr Erzhan has no friend of a friend of a friend of a friend of a friend of a friend of a friend of a friend of a friend of a friend of a friend in prison.''Then perhaps he is a friend of a friend of a friend of a friend of a friend of a friend of a friend of a friend of a friend of a friend of a friend of a friend,'said Huang. 'But he is certainly a friend of a friend of a friend of a friend of a friend of a friend of a friend of a friend of a friend of a friend of a friend of a friend of Mr Erzhan's.''I know nothing about that, '\n", "================================================================================\n", "----detect non-word characters repetition----\n", "----detect text repetitions----\n", "\n", "Group 1 found at 4071-4083: ` a friend of`\n", "\n", "Group 1 found at 4250-4262: ` a friend of`\n", "\n", "Group 1 found at 4317-4329: ` a friend of`\n", "\n", "Group 1 found at 4458-4470: ` friend of a`\n", "\n", "Group 1 found at 4520-4532: ` a friend of`\n", "\n", "Group 1 found at 4599-4611: ` a friend of`\n", "\n", "Group 1 found at 4752-4764: ` friend of a`\n", "\n", "Group 1 found at 4826-4838: ` a friend of`\n", "\n", "Group 1 found at 5082-5094: ` friend of a`\n", "\n", "Group 1 found at 5271-5283: ` a friend of`\n", "\n", "Group 1 found at 5558-5570: ` a friend of`\n", "\n", "Group 1 found at 5886-5898: ` friend of a`\n", "\n", "Group 1 found at 6171-6183: ` a friend of`\n", "\n", "Group 1 found at 6554-6566: ` a friend of`\n", "\n", "Group 1 found at 423-436: `y. 'Tis a pit`\n", "(0, 4147, 4147)\n", "“在，大叔，长得好好的，就是耳朵流血啦。”\n", "================================================================================\n", "'It's there, Uncle, right where it's supposed to be. Except your ear's bleeding.'\n", "================================================================================\n", " 'Yes, Uncle. I'm fine, except my ear is bleeding.' 'I see. Well, just stay there for a while. I'll be right there.' 'Yes, Uncle.' 'And don't move around too much. You might make it worse.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes\n", "================================================================================\n", "----detect non-word characters repetition----\n", "----detect text repetitions----\n", "\n", "Group 1 found at 187-289: `.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him`\n", "(0, 6018, 6018)\n", "石头听了大喜，因问：“不知可镌何字?\n", "================================================================================\n", "The stone was delighted. 'What words will you cut?\n", "================================================================================\n", " Hearing this, the stone was overjoyed and asked, 'What words are you going to carve on me?''The words 'Vanitas Vanitatum'!'said the monk. 'What do they mean?'said the stone. 'They mean 'All is vanity'.''But why should you want to carve those words on me?'said the stone. 'Because your name is 'Vanitas','said the monk. 'I have never heard of a stone called 'Vanitas' before,'said the stone. 'It is a foreign word,'said the monk. 'It is the name of a planet in the West.''I have never heard of a planet called 'Vanitas' either,'said the stone. 'It is a new planet,'said the monk. 'It has only recently been discovered.''I see,'said the stone. 'Well, I suppose it is very nice to have a planet named after me.''Yes,'said the monk. 'It is very nice.''But what is this planet like?'said the stone. 'Is it a nice planet?''It is very beautiful,'said the monk. 'It is covered with flowers and trees.''I see,'said the stone. 'Well, I hope the people who live on it will be happy.''There are no people on it,'said the monk. 'Only flowers and trees.''I see,'said the stone. 'Well, I hope the flowers and trees will be happy.''They are very happy,'said the monk. 'They are always smiling.''I see,'said the stone. 'Well, I hope they will always be smiling.''They will always be smiling,'said the monk. 'They will always be happy.''I see,'said the stone. 'Well, I am very happy too.''I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too, '\n", "================================================================================\n", "----detect non-word characters repetition----\n", "----detect text repetitions----\n", "\n", "Group 1 found at 1217-1244: `they will always be smiling`\n", "\n", "Group 1 found at 1350-1369: `I am very happy too`\n", "\n", "Group 1 found at 1391-1466: `,'said the monk. 'I am very happy too,'said the stone. 'I am very happy too`\n", "(0, 5077, 5077)\n", "宝玉会意，忽听“唿”一声帘子响，晴雯又跑进来问道：“我怎么磨牙了?\n", "================================================================================\n", "Bao-yu took her meaning; but it was too late. With another swish of the door-blind, Skybright had already darted in again. 'Oh! Sharp-tongued, am I?\n", "================================================================================\n", " Bao-yu understood that he was being asked to go to bed. Just then there was a sudden swish of the door-blind and Skybright came running in again. 'What are you doing? Grinding your teeth? he said. 'You'd better go to bed! 'And she pulled the bed-curtains open for him. 'Come along! Get in! 'She said. 'I'll tuck you up! 'And she proceeded to do so. 'Now, now! Don't fidget! 'She said. 'Just go to sleep! 'And she drew the bed-curtains tightly round him. 'There! 'She said. 'Now you can sleep! 'And she went out again. Bao-yu lay there for a long time, but he could not get to sleep. He heard the women all go off to bed, one after another, and the room grew quiet. Then, after a long while, he heard the sound of the watchman's rattle outside and the call of the night-watchman in the distance. He was still lying there wide awake when he heard the first light of dawn announced by the cawing of the crows in the garden. Then, just as he was beginning to doze off, he was startled by a sudden noise. It sounded like a loud, shrill laugh. He sat up in bed and listened. The laugh was followed by a sound of weeping. He threw off his coverlet and got out of bed. The room was still dark, but he could just make out the form of a woman in tears. It was Skybright. 'What's the matter? 'He said. 'What are you crying about? 'But she did not answer. She stood there in the darkness, weeping. Bao-yu was frightened. He did not know what to do. He stood there for a long time, frozen with fear. Then, all of a sudden, he heard a voice. It was very faint, but it seemed to be calling his name. 'Bao-yu! Bao-yu! 'It said. 'Come here! 'He followed the sound of the voice until he came to the door of his room. There he found Dai-yu. She was leaning against the doorpost, weeping. 'What's the matter? 'He said. 'What are you crying about? 'But she did not answer. She stood there in the darkness, weeping. Bao-yu was frightened. He did not know what to do. He stood there for a long time, frozen with fear. Then, all of a sudden, he heard a voice. It was very faint, but it seemed to be calling his name. 'Bao-yu! Bao-yu! 'It said. 'Come here! 'He followed the sound of the voice until he came to the door of his room. There he found Dai-yu. She was leaning against the doorpost, weeping. 'What's the matter? 'He said. 'What are you crying about? 'But she did not answer. She just went on weeping. Bao-yu was frightened. He did not know what to do. He stood there for a long time, frozen with fear. Then, all of a sudden, he heard a voice. It was very faint, but it seemed to be calling his name. 'Bao-yu! Bao-yu! 'It said. 'Come here! 'He followed the sound of the voice until he came to the door of his room. There he found Dai-yu. She was leaning against the doorpost, weeping. 'What's the matter? 'He said. 'What are you crying about? 'But she did not answer. She just went on weeping. Bao-yu was frightened. He did not know what to do. He stood there for a long time, frozen with fear. Then, all of a sudden, he heard a voice. It was very faint, but it seemed to be calling his name. 'Bao-yu! Bao-yu! 'It said. 'Come here! 'He followed the sound of the voice until he came to the door of his room. There he found Dai-yu. She was leaning against the doorpost, weeping. 'What's the matter? 'He said. 'What are you crying about? 'But she did not answer. She just went on weeping. Bao-yu was frightened. He did not know what to do. He stood there for a long time, frozen with fear. Then, all of a sudden, he heard a voice. It was very faint, but it seemed to be calling his name. 'Bao-yu! Bao-yu! 'It said. 'Come here! 'He followed the sound of the voice until he came to the door of his room. There he found Dai-yu. She was leaning against the doorpost, weeping. 'What's the matter? 'He said. 'What are you crying about? 'But she did not answer. She just went on weeping. Bao-yu was frightened. He did not know what to do. He stood there for a long time, frozen with fear. Then, all of a sudden, he heard a voice. It was very faint, but it seemed to be calling his name. 'Bao-yu! Bao-yu! 'It said. 'Come here! 'He followed the sound of the voice until he came to the door of his room. There he found Dai-yu. She was leaning against the doorpost, weeping. 'What's the matter? 'He said. 'What are you crying about? 'But she did not answer. She just went on weeping. Bao-yu was frightened. He did not know what to do. He stood there for a long time, frozen with fear. Then, all of a sudden, he heard a voice. It was very faint, but it seemed to be calling his name. 'Bao-yu! Bao-yu! 'It said. 'Come here! 'He followed the sound of the voice until he came to the door of his room. There he found Dai-yu. She was leaning against the doorpost, weeping. 'What's the matter? 'He said. 'What are you crying about? 'But she did not answer. She just went on weeping. Bao-yu was frightened. He did not know what to do. He stood there for a long time, frozen with fear. Then, all of a sudden, he heard a voice. It was very faint, but it seemed to be calling his name. 'Bao-yu! Bao-yu! 'It said. 'Come here! 'He followed the sound of the voice until he came to the door of his room. There he found Dai-yu. She was leaning against the doorpost, weeping. 'What's the matter? 'He said. 'What are you crying about? 'But she did not answer. She just went on weeping. Bao-yu was frightened. He did not know what to do. He stood there for a long time, frozen with fear. Then, all of a sudden, he heard a voice. It was very faint, but it seemed to be calling his name. 'Bao-yu! Bao-yu! 'It said. 'Come here! 'He followed the sound of the voice until he came to the door of his room. There he found Dai-yu. She was leaning against the doorpost, weeping. 'What's the matter? 'He said. 'What are you crying about? 'But she did not answer. She just went on weeping. Bao-yu was frightened. He did not know what to do. He stood there for a long time, frozen with fear. Then, all of a sudden, he heard a voice. It was very faint, but it seemed to be calling his name. 'Bao-yu! Bao-yu! 'It said. 'Come here! 'He followed the sound of the voice until he came to the door of his room. There he found Dai-yu. She was leaning against the doorpost, weeping. 'What's the matter? 'He said. 'What are you crying about? 'But she did not answer. She just went on weeping. Bao-yu was frightened. He did not know what to do. He stood there for a long time, frozen with fear. Then, all of a sudden, he heard a voice. It was very faint, but it seemed to be calling his name. 'Bao-yu! Bao-yu! 'It said. 'Come here! 'He followed the sound of the voice until he came to the door of his room. There he found Dai-yu. She was leaning against the doorpost, weeping. 'What's the matter? 'He said. 'What are you crying about? 'But she did not answer. She just went on weeping. Bao-yu was frightened. He did not know what to do. He stood there for a long time, frozen with fear. Then, all of a sudden, he heard a voice. It was very faint, but it seemed to be calling his name. 'Bao-yu! Bao-yu! 'It said. 'Come here! 'He followed the sound of the voice until he came to the door of his room. There he found Dai-yu. She was leaning against the doorpost, weeping. 'What's the matter? 'He said. 'What are you crying about? 'But she did not answer. She just went on weeping. Bao-yu was frightened. He did\n", "================================================================================\n", "----detect non-word characters repetition----\n", "----detect text repetitions----\n", "\n", "Group 1 found at 1260-1768: `. 'What's the matter? 'He said. 'What are you crying about? 'But she did not answer. She stood there in the darkness, weeping. Bao-yu was frightened. He did not know what to do. He stood there for a long time, frozen with fear. Then, all of a sudden, he heard a voice. It was very faint, but it seemed to be calling his name. 'Bao-yu! Bao-yu! 'It said. 'Come here! 'He followed the sound of the voice until he came to the door of his room. There he found Dai-yu. She was leaning against the doorpost, weeping`\n", "\n", "Group 1 found at 2276-2768: `. 'What's the matter? 'He said. 'What are you crying about? 'But she did not answer. She just went on weeping. Bao-yu was frightened. He did not know what to do. He stood there for a long time, frozen with fear. Then, all of a sudden, he heard a voice. It was very faint, but it seemed to be calling his name. 'Bao-yu! Bao-yu! 'It said. 'Come here! 'He followed the sound of the voice until he came to the door of his room. There he found Dai-yu. She was leaning against the doorpost, weeping`\n", "(0, 4936, 4936)\n", "周瑞家的道：“我的娘!\n", "================================================================================\n", "'My dear good woman,' said the latter when they were out of earshot, 'whatever came over you?\n", "================================================================================\n", " 'My mother!' said Zhou Rui's wife. 'What are you talking about? It's only a bit of fun. You're not going to die because of it. Come on! Let's go! We'll take you along with us. You can be one of the girls. No one will mind. Just for fun! Come on! We'll take you along!'' She reached out and took hold of Blossom's hand. 'Come on! Let's go! It'll be fun!'' She pulled Blossom to her feet and the two of them set off, with the other girls following after them. As they went, they sang: 'We're going to see the play, We're going to see the play!'' and 'We're going to see the show, We're going to see the show!'' and other such songs. Blossom went with them, still in a daze. She had no idea where they were taking her. She had never been outside the Garden before. She had never seen a theatre. She had never seen a play. She had never seen a man. She had never seen a woman. She had never seen a child. She had never seen a dog. She had never seen a cat. She had never seen a chicken. She had never seen a cow. She had never seen a horse. She had never seen a pig. She had never seen a sheep. She had never seen a goat. She had never seen a buffalo. She had never seen a deer. She had never seen a fox. She had never seen a bear. She had never seen a monkey. She had never seen a tiger. She had never seen a lion. She had never seen an elephant. She had never seen a camel. She had never seen a donkey. She had never seen a mule. She had never seen a weasel. She had never seen a snake. She had never seen a frog. She had never seen a toad. She had never seen a worm. She had never seen a fly. She had never seen a bee. She had never seen a butterfly. She had never seen a moth. She had never seen a spider. She had never seen a cricket. She had never seen a grasshopper. She had never seen an ant. She had never seen a flea. She had never seen a louse. She had never seen a bedbug. She had never seen a mosquito. She had never seen a gnat. She had never seen a cockroach. She had never seen a centipede. She had never seen a leech. She had never seen a snail. She had never seen a slug. She had never seen a worm. She had never seen a leech. She had never seen a maggot. She had never seen a grub. She had never seen a caterpillar. She had never seen a chrysalis. She had never seen a cocoon. She had never seen a pupa. She had never seen a larva. She had never seen a nymph. She had never seen a tadpole. She had never seen a spawn. She had never seen a foetus. She had never seen a baby. She had never seen a child. She had never seen a boy. She had never seen a girl. She had never seen a man. She had never seen a woman. She had never seen a cow. She had never seen a horse. She had never seen a buffalo. She had never seen a deer. She had never seen a fox. She had never seen a bear. She had never seen a monkey. She had never seen a tiger. She had never seen a lion. She had never seen an elephant. She had never seen a camel. She had never seen a donkey. She had never seen a mule. She had never seen a weasel. She had never seen a snake. She had never seen a frog. She had never seen a toad. She had never seen a worm. She had never seen a fly. She had never seen a bee. She had never seen a butterfly. She had never seen a moth. She had never seen a spider. She had never seen a cricket. She had never seen a grasshopper. She had never seen an ant. She had never seen a flea. She had never seen a louse. She had never seen a bedbug. She had never seen a mosquito. She had never seen a gnat. She had never seen a cockroach. She had never seen a centipede. She had never seen a leech. She had never seen a snail. She had never seen a slug. She had never seen a worm. She had never seen a leech. She had never seen a maggot. She had never seen a grub. She had never seen a caterpillar. She had never seen a chrysalis. She had never seen a cocoon. She had never seen a pupa. She had never seen a larva. She had never seen a nymph. She had never seen a tadpole. She had never seen a spawn. She had never seen a foetus. She had never seen a baby. She had never seen a child. She had never seen a boy. She had never seen a girl. She had never seen a man. She had never seen a woman. She had never seen a cow. She had never seen a horse. She had never seen a buffalo. She had never seen a deer. She had never seen a fox. She had never seen a bear. She had never seen a monkey. She had never seen a tiger. She had never seen a lion. She had never seen an elephant. She had never seen a camel. She had never seen a donkey. She had never seen a mule. She had never seen a weasel. She had never seen a snake. She had never seen a frog. She had never seen a toad. She had never seen a worm. She had never seen a fly. She had never seen a bee. She had never seen a butterfly. She had never seen a moth. She had never seen a spider. She had never seen a cricket. She had never seen a grasshopper. She had never seen an ant. She had never seen a flea. She had never seen a louse. She had never seen a bedbug. She had never seen a mosquito. She had never seen a gnat. She had never seen a cockroach. She had never seen a centipede. She had never seen a leech. She had never seen a snail. She had never seen a slug. She had never seen a worm. She had never seen a leech. She had never seen a maggot. She had never seen a grub. She had never seen a caterpillar. She had never seen a chrysalis. She had never seen a cocoon. She had never seen a pupa. She had never seen a larva. She had never seen a nymph. She had never seen a tadpole. She had never seen a spawn. She had never seen a foetus. She had never seen a baby. She had never seen a child. She had never seen a boy. She had never seen a girl. She had never seen a man. She had never seen a woman. She had never seen a cow. She had never seen a horse. She had never seen a buffalo. She had never seen a deer. She had never seen a fox. She had never seen a bear. She had never seen a monkey. She had never seen a tiger. She had never seen a lion. She had never seen an elephant. She had never seen a camel. She had never seen a donkey. She had never seen a mule. She had never seen a weasel. She had never seen a snake. She had never seen a frog. She had never seen a toad. She had never seen a worm. She had never seen a fly. She had never seen a bee. She had never seen a butterfly. She had never seen a moth. She had never seen a spider. She had never seen a cricket. She had never seen a grasshopper. She had never seen an ant. She had never seen a flea. She had never seen a louse. She had never seen a bedbug. She had never seen a mosquito. She had never seen a gnat. She had never seen a cockroach. She had never seen a centipede. She had never seen a leech. She had never seen a snail. She had never seen a slug. She had never seen a worm. She had never seen a leech. She had never seen a maggot. She had never seen a grub. She had never seen a caterpillar. She had never seen a chrysalis. She had never seen a cocoon. She had never seen a pupa. She had never seen a larva. She had never seen a nymph. She had never seen a tadpole. She had never seen a spawn. She had never seen a foetus. She had never seen a baby. She had never seen a child. She had never seen a boy. She had never seen a girl. She had never seen a man. She had never seen a woman. She had never seen a cow. She had never seen a horse. She had never seen a buffalo. She had never seen a deer. She had never seen a fox. She had never seen a bear. She had never seen a monkey. She had never seen a tiger. She had never seen a lion. She had never seen an elephant. She had never seen a camel. She had never seen a donkey. She had never seen a mule. She had never seen a weasel. She had never seen a snake. She had never seen a frog. She had never seen a toad. She\n", "================================================================================\n", "----detect non-word characters repetition----\n", "----detect text repetitions----\n", "\n", "Group 1 found at 485-512: `We're going to see the play`\n", "\n", "Group 1 found at 550-577: `We're going to see the show`\n", "\n", "Group 1 found at 510-1633: `.''It's because she's so proud,'said Aroma. 'She thinks she's better than any of us.''Yes, that's it,'said Bao-yu. 'She's very proud.''I'm not proud,'said Skybright, re-entering the room. 'It's just that I don't like being taken advantage of.''No one is taking advantage of you,'said Aroma. 'What are you talking about?''I'm talking about my money,'said Skybright. 'I lent you five cash to buy that hand-warmer with, and you haven't given it me back yet.''I'll give it you back presently,'said Aroma. 'I haven't forgotten.''I'm not in a hurry,'said Skybright. 'Only I don't want to have to ask you again.''I promise I won't forget,'said Aroma. 'I'll give it you back this afternoon.''All right,'said Skybright. 'I'll wait till this afternoon.'And she went out again. 'She's a bit of a handful, that one,'said Dai-ru. 'Yes,'said Bao-yu. 'She's a bit of a handful.''She's always like that,'said Aroma. 'Always finding fault.''Yes,'said Bao-yu. 'She's always finding fault.''I don't know what's the matter with her,'said Dai-ru. 'She's been like that lately. Always in a temper.''I know,'said Bao-yu. 'She's always in a temper`\n", "(0, 4492, 4492)\n", "蕊初道：“花园里有大海龟吗？\n", "================================================================================\n", "'I didn't know there were any in the Palace,' said Blossom.\n", "================================================================================\n", " 'Are there turtles in the garden?' Blossom asked. 'Yes,'said Nightingale. 'There are. In the pond.''I've never seen any,'said Blossom. 'I expect they hide themselves,'said Nightingale. 'They are very timid.''I'd love to see one,'said Blossom. 'I'll take you to see one,'said Nightingale. 'But you'll have to be very quiet. If you frighten it, it will hide itself.''I'll be very quiet,'said Blossom. 'Come on then,'said Nightingale. 'But you'll have to carry me. I'm too tired to walk.'Blossom lifted her up and carried her to the pond. 'There,'said Nightingale, pointing. 'Look! There it is!'Blossom looked, but all she could see was a lot of water plants. 'Where?' she said. 'There,'said Nightingale. 'Under the water plants.'Blossom looked again, but she couldn't see anything. 'I can't see anything,'she said. 'You'll have to look more carefully,'said Nightingale. 'It's under the big leaf.'Blossom looked again, but she still couldn't see anything. 'I still can't see anything,'she said. 'You're not looking carefully enough,'said Nightingale. 'Look under the leaf.'Blossom looked again, but she still couldn't see anything. 'I still can't see anything,'she said. 'You're not looking carefully enough,'said Nightingale. 'Look under the leaf.'Blossom looked again, but she still couldn't see anything. 'I still can't see anything,'she said. 'You're not looking carefully enough,'said Nightingale. 'Look under the leaf.'Blossom looked again, but she still couldn't see anything. 'I still can't see anything,'she said. 'You're not looking carefully enough,'said Nightingale. 'Look under the leaf.'Blossom looked again, but she still couldn't see anything. 'I still can't see anything,'she said. 'You're not looking carefully enough,'said Nightingale. 'Look under the leaf.'Blossom looked again, but she still couldn't see anything. 'I still can't see anything,'she said. 'You're not looking carefully enough,'said Nightingale. 'Look under the leaf.'Blossom looked again, but she still couldn't see anything. 'I still can't see anything,'she said. 'You're not looking carefully enough,'said Nightingale. 'Look under the leaf.'Blossom looked again, but she still couldn't see anything. 'I still can't see anything,'she said. 'You're not looking carefully enough,'said Nightingale. 'Look under the leaf.'Blossom looked again, but she still couldn't see anything. 'I still can't see anything,'she said. 'You're not looking carefully enough,'said Nightingale. 'Look under the leaf.'Blossom looked again, but she still couldn't see anything. 'I still can't see anything,'she said. 'You're not looking carefully enough,'said Nightingale. 'Look under the leaf.'Blossom looked again, but she still couldn't see anything. 'I still can't see anything,'she said. 'You're not looking carefully enough,'said Nightingale. 'Look under the leaf.'Blossom looked again, but she still couldn't see anything. 'I still can't see anything,'she said. 'You're not looking carefully enough,'said Nightingale. 'Look under the leaf.'Blossom looked again, but she still couldn't see anything. 'I still can't see anything,'she said. 'You're not looking carefully enough,'said Nightingale. 'Look under the leaf.'Blossom looked again, but she still couldn't see anything. 'I still can't see anything,'she said. 'You're not looking carefully enough,'said Nightingale. 'Look under the leaf.'Blossom looked again, but she still couldn't see anything. 'I still can't see anything,'she said. 'You're not looking carefully enough,'said Nightingale. 'Look under the leaf.'Blossom looked again, but she still couldn't see anything. 'I still can't see anything,'she said. 'You're not looking carefully enough,'said Nightingale. 'Look under the leaf.'Blossom looked again, but she still couldn't see anything. 'I still can't see anything,'she said. 'You're not looking carefully enough,'said Nightingale. 'Look under the leaf.'Blossom looked again, but she still couldn't see anything. 'I still can't see anything,'she said. 'You're not looking carefully enough,'said Nightingale. 'Look under the leaf.'Blossom looked again, but she still couldn't see anything. 'I still can't see anything,'she said. 'You're not looking carefully enough,'said Nightingale. 'Look under the leaf.'Blossom looked again, but she still couldn't see anything. 'I still can't see anything,'she said. 'You're not looking carefully enough,'said Nightingale. 'Look under the leaf.'Blossom looked again, but she still couldn't see anything. 'I still can't see anything,'she said. 'You're not looking carefully enough,'said Nightingale. 'Look under the leaf.'Blossom looked again, but she still couldn't see anything. 'I still can't see anything,'she said. 'You're not looking carefully enough,'said Nightingale. 'Look under the leaf.'Blossom looked again, but she still couldn't see anything. 'I still can't see anything,'she said. 'You're not looking carefully enough,'said Nightingale. 'Look under the leaf.'Blossom looked again, but she still couldn't see anything. 'I still can't see anything,'she said. 'You're not looking carefully enough,'said Nightingale. 'Look under the leaf.'Blossom looked again, but she still couldn't see anything. 'I still can't see anything,'she said. 'You're not looking carefully enough,'said Nightingale. 'Look under the leaf.'Blossom looked again, but she still couldn't see anything. 'I still can't see anything,'she said. 'You're not looking carefully enough,'said Nightingale. 'Look under the leaf.'Blossom looked again, but she still couldn't see anything. 'I still can't see anything,'she said. 'You're not looking carefully enough,'said Nightingale. 'Look under the leaf.'Blossom looked again, but she still couldn't see anything. 'I still can't see anything,'she said. 'You're not looking carefully enough,'said Nightingale. 'Look under the leaf.'Blossom looked again, but she still couldn't see anything. 'I still can't see anything,'she said. 'You're not looking carefully enough,'said Nightingale. 'Look under the leaf.'Blossom looked again, but she still couldn't see anything. 'I still can't see anything,'she said. 'You're not looking carefully enough,'said Nightingale. 'Look under the leaf.'Blossom looked again, but she still couldn't see anything. 'I still can't see anything,'she said. 'You're not looking carefully enough,'said Nightingale. 'Look under the leaf.'Blossom looked again, but she still couldn't see anything. 'I still can't see anything,'she said. 'You're not looking carefully enough,'said Nightingale. 'Look under the leaf.'Blossom looked again, but she still couldn't see anything. 'I still can't see anything,'she said. 'You're not looking carefully enough,'said Nightingale. 'Look under the leaf.'Blossom looked again, but she still couldn't see anything. 'I still can't see anything,'she said. 'You're not looking carefully enough,'said Nightingale. 'Look under the leaf.'Blossom looked again, but she still couldn't see anything. 'I still can't see anything,'she said. 'You're not looking carefully enough,'said Nightingale. 'Look under the leaf.'Blossom looked again, but she still couldn't see anything. 'I still can't see anything,'she said. 'You're not looking carefully enough,'said Nightingale. 'Look under the leaf.'Blossom looked again, but she still couldn't see anything. 'I still can't see anything,'she said. 'You're not looking carefully enough,'said Nightingale. 'Look under the leaf.'Blossom looked again, but she still couldn't see anything. 'I still can't see anything,'she said. 'You're not looking carefully enough,'said Nightingale. 'Look under the leaf.'Blossom looked again, but she still couldn't see anything. 'I still can't see anything,'she said. 'You're not looking carefully enough\n", "================================================================================\n", "----detect non-word characters repetition----\n", "----detect text repetitions----\n", "\n", "Group 1 found at 888-1064: ` leaf.'Blossom looked again, but she still couldn't see anything. 'I still can't see anything,'she said. 'You're not looking carefully enough,'said Nightingale. 'Look under the`\n", "(0, 6512, 6512)\n", "韦小宝毛骨悚然，道：“我…… 我以为你不爱喝汤。\n", "================================================================================\n", "Trinket could feel his skin crawling. 'But. . . but... I thought you didn't like soup,' he said.\n", "================================================================================\n", " Trinket shivered. 'I... I thought you didn't like soup.'he said. 'I didn't want to force you.''Force me?'said the Helmsman. 'I like it all right.''Then why...?' 'Because I'm a Muslim,'said the Helmsman. 'We don't eat pork.''Oh,'said Trinket. 'I see.''Yes,'said the Helmsman. 'And I don't like being reminded of it.''I'm sorry,'said Trinket. 'I didn't know.''Never mind,'said the Helmsman. 'It's all right.''I'll tell them to make you some chicken soup,'said Trinket. 'No, no,'said the Helmsman. 'It's all right. I'll just have some rice.''I'll tell them to bring you some rice,'said Trinket. 'No, no,'said the Helmsman. 'I'll go and get some for myself.''Let me go for you,'said Trinket. 'No, no,'said the Helmsman. 'I'll go myself.''All right,'said Trinket. 'But you've got to promise me not to try to escape.''I promise,'said the Helmsman. 'I promise I won't try to escape.''All right,'said Trinket. 'But you've got to promise me not to try to escape.''I promise,'said the Helmsman. 'I promise I won't try to escape.''All right,'said Trinket. 'But you've got to promise me not to try to escape.''I promise,'said the Helmsman. 'I promise I won't try to escape.''All right,'said Trinket. 'But you've got to promise me not to try to escape.''I promise,'said the Helmsman. 'I promise I won't try to escape.''All right,'said Trinket. 'But you've got to promise me not to try to escape.''I promise,'said the Helmsman. 'I promise I won't try to escape.''All right,'said Trinket. 'But you've got to promise me not to try to escape.''I promise,'said the Helmsman. 'I promise I won't try to escape.''All right,'said Trinket. 'But you've got to promise me not to try to escape.''I promise,'said the Helmsman. 'I promise I won't try to escape.''All right,'said Trinket. 'But you've got to promise me not to try to escape.''I promise,'said the Helmsman. 'I promise I won't try to escape.''All right,'said Trinket. 'But you've got to promise me not to try to escape.''I promise,'said the Helmsman. 'I promise I won't try to escape.''All right,'said Trinket. 'But you've got to promise me not to try to escape.''I promise,'said the Helmsman. 'I promise I won't try to escape.''All right,'said Trinket. 'But you've got to promise me not to try to escape.''I promise,'said the Helmsman. 'I promise I won't try to escape.''All right,'said Trinket. 'But you've got to promise me not to try to escape.''I promise,'said the Helmsman. 'I promise I won't try to escape.''All right,'said Trinket. 'But you've got to promise me not to try to escape.''I promise,'said the Helmsman. 'I promise I won't try to escape.''All right,'said Trinket. 'But you've got to promise me not to try to escape.''I promise,'said the Helmsman. 'I promise I won't try to escape.''All right,'said Trinket. 'But you've got to promise me not to try to escape.''I promise,'said the Helmsman. 'I promise I won't try to escape.''All right,'said Trinket. 'But you've got to promise me not to try to escape.''I promise,'said the Helmsman. 'I promise I won't try to escape.''All right,'said Trinket. 'But you've got to promise me not to try to escape.''I promise,'said the Helmsman. 'I promise I won't try to escape.''All right,'said Trinket. 'But you've got to promise me not to try to escape.''I promise,'said the Helmsman. 'I promise I won't try to escape.''All right,'said Trinket. 'But you've got to promise me not to try to escape.''I promise,'said the Helmsman. 'I promise I won't try to escape.''All right,'said Trinket. 'But you've got to promise me not to try to escape.''I promise,'said the Helmsman. 'I promise I won't try to escape.''All right,'said Trinket. 'But you've got to promise me not to try to escape.''I promise,'said the Helmsman. 'I promise I won't try to escape.''All right,'said Trinket. 'But you've got to promise me not to try to escape.''I promise,'said the Helmsman. 'I promise I won't try to escape.''All right,'said Trinket. 'But you've got to promise me not to try to escape.''I promise,'said the Helmsman. 'I promise I won't try to escape.''All right,'said Trinket. 'But you've got to promise me not to try to escape.''I promise,'said the Helmsman. 'I promise I won't try to escape.''All right,'said Trinket. 'But you've got to promise me not to try to escape.''I promise,'said the Helmsman. 'I promise I won't try to escape.''All right,'said Trinket. 'But you've got to promise me not to try to escape.''I promise,'said the Helmsman. 'I promise I won't try to escape.''All right,'said Trinket. 'But you've got to promise me not to try to escape.''I promise,'said the Helmsman. 'I promise I won't try to escape.''All right,'said Trinket. 'But you've got to promise me not to try to escape.''I promise,'said the Helmsman. 'I promise I won't try to escape.''All right,'said Trinket. 'But you've got to promise me not to try to escape.''I promise,'said the Helmsman. 'I promise I won't try to escape.''All right,'said Trinket. 'But you've got to promise me not to try to escape.''I promise,'said the Helmsman. 'I promise I won't try to escape.''All right,'said Trinket. 'But you've got to promise me not to try to escape.''I promise,'said the Helmsman. 'I promise I won't try to escape.''All right,'said Trinket. 'But you've got to promise me not to try to escape.''I promise,'said the Helmsman. 'I promise I won't try to escape.''All right,'said Trinket. 'But you've got to promise me not to try to escape.''I promise,'said the Helmsman. 'I promise I won't try to escape.''All right,'said Trinket. 'But you've got to promise me not to try to escape.''I promise,'said the Helmsman. 'I promise I won't try to escape.''All right,'said Trinket. 'But you've got to promise me not to try to escape.''I promise,'said the Helmsman. 'I promise I won't try to escape.''All right,'said Trinket. 'But you've got to promise me not to try to escape.''I promise,'said the Helmsman. 'I promise I won't try to escape.''All right,'said Trinket. 'But you've got to promise me not to try to escape.''I promise,'said the Helmsman. 'I promise I won't try to escape.''All right,'said Trinket. 'But you've got to promise me not to try to escape.''I promise,'said the Helmsman. 'I promise I\n", "================================================================================\n", "----detect non-word characters repetition----\n", "removed non-word characters repetition: 6\n", "----detect text repetitions----\n", "\n", "Group 1 found at 726-869: `.''All right,'said Trinket. 'But you've got to promise me not to try to escape.''I promise,'said the Helmsman. 'I promise I won't try to escape`\n", "(6, 5148, 5154)\n", "吕留良提笔沉吟半晌，便在画上振笔直书。 顷刻诗成，诗云：\n", "================================================================================\n", "He picked up a writing-brush and for some minutes could be observed muttering to himself in the throes of composition; then, writing straight on to the painting and with pauses only for moistening the brush, he quickly completed the following poem:\n", "================================================================================\n", " Lü held his brush suspended for a long time, then wrote the following poem on the painting: 'The peach tree blossoms, a delicate pink, 'The willow's new leaves, a fresh green. 'The oriole's song is heard, 'The swallows are back again. 'The spring wind stirs, 'The grass is wet with dew. 'The night is half gone, 'The moon is high. 'The night is half gone, 'The watchman is calling the hour. 'The night is half gone, 'The scholar is still sitting and thinking. 'The night is half gone, 'The night is half gone.... 'But where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? 'Where is my youth? '\n", "================================================================================\n", "----detect non-word characters repetition----\n", "removed non-word characters repetition: 5\n", "----detect text repetitions----\n", "\n", "Group 1 found at 460-484: ` 'The night is half gone`\n", "\n", "Group 1 found at 514-531: `where is my youth`\n", "(5, 6365, 6370)\n", "海老公脸一沉，说道：“借给老吴这小子有什么用？\n", "================================================================================\n", "Old Hai scowled at him. 'What do you want to go lending money to that Wu fellow for?\n", "================================================================================\n", " The old eunuch's face fell. 'What's the sense in lending it to the little bastard? he said. 'He's only going to lose it again. 'I'm not going to lend it to him,'he said. 'I'm going to give it to him. 'And then he took the money out of his pocket and handed it to Wu Peizhen. 'Here you are,'he said. 'I'm giving you this to help you on your way. 'But you've got to promise me one thing. 'You've got to promise me that you'll never come back here again. 'If you do, I'll kill you. 'I mean it. 'I'll kill you.'Wu Peizhen took the money and promised that he would never come back. The old eunuch saw him to the door and let him out. Wu Peizhen went down the steps and out into the street. The old eunuch went back to his room and sat down again. He was smiling. He had tricked Wu Peizhen. He had tricked him into going away. He was smiling as he sat there. Then he heard a noise. It was Wu Peizhen. He had come back. The old eunuch's face fell. 'I told you not to come back,'he said. 'I'm going to kill you.'Wu Peizhen fell on his knees. 'Please don't kill me,'he said. 'I've got nowhere else to go.'The old eunuch looked at him. He looked at him for a long time. Then he said, 'All right. 'I'm not going to kill you. 'But you've got to do something for me. 'You've got to do something for me, or I'll kill you.'Wu Peizhen said that he would do anything. The old eunuch said, 'I want you to go to the Upper Library and steal a book for me.'Wu Peizhen said that he would do it. The old eunuch gave him the key to the Upper Library and Wu Peizhen went off. He went to the Upper Library and stole the book. Then he came back and gave it to the old eunuch. The old eunuch took the book and thanked him. Then he gave him some more money. Wu Peizhen took the money and went out. The old eunuch sat down and began to read the book. He read the book for a long time. Then he heard a noise. It was Wu Peizhen again. The old eunuch's face fell. 'I told you not to come back,'he said. 'I'm going to kill you.'Wu Peizhen fell on his knees. 'Please don't kill me,'he said. 'I've got nowhere else to go.'The old eunuch looked at him. He looked at him for a long time. Then he said, 'All right. 'I'm not going to kill you. 'But you've got to do something for me. 'You've got to do something for me, or I'll kill you.'Wu Peizhen said that he would do anything. The old eunuch said, 'I want you to go to the Upper Library and steal another book for me.'Wu Peizhen said that he would do it. The old eunuch gave him the key to the Upper Library and Wu Peizhen went off. He went to the Upper Library and stole the book. Then he came back and gave it to the old eunuch. The old eunuch took the book and thanked him. Then he gave him some more money. Wu Peizhen took the money and went out. The old eunuch sat down and began to read the book. He read the book for a long time. Then he heard a noise. It was Wu Peizhen again. The old eunuch's face fell. 'I told you not to come back,'he said. 'I'm going to kill you.'Wu Peizhen fell on his knees. 'Please don't kill me,'he said. 'I've got nowhere else to go.'The old eunuch looked at him. He looked at him for a long time. Then he said, 'All right. 'I'm not going to kill you. 'But you've got to do something for me. 'You've got to do something for me, or I'll kill you.'Wu Peizhen said that he would do anything. The old eunuch said, 'I want you to go to the Upper Library and steal another book for me.'Wu Peizhen said that he would do it. The old eunuch gave him the key to the Upper Library and Wu Peizhen went off. He went to the Upper Library and stole the book. Then he came back and gave it to the old eunuch. The old eunuch took the book and thanked him. Then he gave him some more money. Wu Peizhen took the money and went out. The old eunuch sat down and began to read the book. He read the book for a long time. Then he heard a noise. It was Wu Peizhen again. The old eunuch's face fell. 'I told you not to come back,'he said. 'I'm going to kill you.'Wu Peizhen fell on his knees. 'Please don't kill me,'he said. 'I've got nowhere else to go.'The old eunuch looked at him. He looked at him for a long time. Then he said, 'All right. 'I'm not going to kill you. 'But you've got to do something for me. 'You've got to do something for me, or I'll kill you.'Wu Peizhen said that he would do anything. The old eunuch said, 'I want you to go to the Upper Library and steal another book for me.'Wu Peizhen said that he would do it. The old eunuch gave him the key to the Upper Library and Wu Peizhen went off. He went to the Upper Library and stole the book. Then he came back and gave it to the old eunuch. The old eunuch took the book and thanked him. Then he gave him some more money. Wu Peizhen took the money and went out. The old eunuch sat down and began to read the book. He read the book for a long time. Then he heard a noise. It was Wu Peizhen again. The old eunuch's face fell. 'I told you not to come back,'he said. 'I'm going to kill you.'Wu Peizhen fell on his knees. 'Please don't kill me,'he said. 'I've got nowhere else to go.'The old eunuch looked at him. He looked at him for a long time. Then he said, 'All right. 'I'm not going to kill you. 'But you've got to do something for me. 'You've got to do something for me, or I'll kill you.'Wu Peizhen said that he would do anything. The old eunuch said, 'I want you to go to the Upper Library and steal another book for me.'Wu Peizhen said that he would do it. The old eunuch gave him the key to the Upper Library and Wu Peizhen went off. He went to the Upper Library and stole the book. Then he came back and gave it to the old eunuch. The old eunuch took the book and thanked him. Then he gave him some more money. Wu Peizhen took the money and went out. The old eunuch sat down and began to read the book. He read the book for a long time. Then he heard a noise. It was Wu Peizhen again. The old eunuch's face fell. 'I told you not to come back,'he said. 'I'm going to kill you.'Wu Peizhen fell on his knees. 'Please don't kill me,'he said. 'I've got nowhere else to go.'The old eunuch looked at him. He looked at him for a long time. Then he said, 'All right. 'I'm not going to kill you. 'But you've got to do something for me. 'You've got to do something for me, or I'll kill you.'Wu Peizhen said that he would do anything. The old eunuch said, 'I want you to go to the Upper Library and steal another book for me.'Wu Peizhen said that he would do it. The old eunuch gave him the key to the Upper Library and Wu Peizhen went off. He went to the Upper Library and stole the book. Then he came back and gave it to the old eunuch. The old eunuch took the book and thanked him. Then he gave him some more money. Wu Peizhen took the money and went out. The old eunuch sat down and began to read the book. He read the book for a long time. Then he heard a noise. It was Wu Peizhen again. The old eunuch's face fell. 'I told you not to come back,'he said. 'I'm going to kill you.'Wu Peizhen fell on his knees. 'Please don't kill me,'he said. 'I've got nowhere else to go.'The old eunuch looked at him. He looked at him for a long time.\n", "================================================================================\n", "----detect non-word characters repetition----\n", "----detect text repetitions----\n", "\n", "Group 1 found at 1220-1253: `you've got to do something for me`\n", "\n", "Group 1 found at 1423-2419: ` book for me.'Wu Peizhen said that he would do it. The old eunuch gave him the key to the Upper Library and Wu Peizhen went off. He went to the Upper Library and stole the book. Then he came back and gave it to the old eunuch. The old eunuch took the book and thanked him. Then he gave him some more money. Wu Peizhen took the money and went out. The old eunuch sat down and began to read the book. He read the book for a long time. Then he heard a noise. It was Wu Peizhen again. The old eunuch's face fell. 'I told you not to come back,'he said. 'I'm going to kill you.'Wu Peizhen fell on his knees. 'Please don't kill me,'he said. 'I've got nowhere else to go.'The old eunuch looked at him. He looked at him for a long time. Then he said, 'All right. 'I'm not going to kill you. 'But you've got to do something for me. 'You've got to do something for me, or I'll kill you.'Wu Peizhen said that he would do anything. The old eunuch said, 'I want you to go to the Upper Library and steal another`\n", "\n", "Group 1 found at 6613-6628: ` the old eunuch`\n", "(0, 4036, 4036)\n", "周瑞家的听了，便已猜着几分来意。 只因他丈夫昔年争买田地一事，多得狗儿他父亲之力，今见刘姥姥如此，心中难却其意；二则也要显弄自己的体面。 便笑说：“老老你放心。\n", "================================================================================\n", "From the tone of this reply Zhou Rui's wife was already able to make a pretty good guess as to the real purpose of the old woman's visit; but because some years previously her husband had received a lot of help from Gou-er's father in a dispute over the purchase of some land, she could not very well reject Grannie Liu now, when she came to her as a suppliant. She was, in any case, anxious to demonstrate her own importance in the Jia household; and so the answer she gave her was a gracious one. 'Don't you worry, Grannie!\n", "================================================================================\n", " Zhou Rui's wife had by now a shrewd idea of what was in the old lady's mind. Her husband had, in the old days, been helped by Gou-er's father in his lawsuits over the purchase of land, and she felt that she could not refuse the old lady's request. Besides, she wanted to show off in front of her. So she smiled and said: 'Now, now, Grannie, don't you go worrying! We'll do all we can to help. 'Tis our duty. 'Tis what we ought to do. 'Tis what we want to do. 'Tis what we will do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 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'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do\n", "================================================================================\n", "----detect non-word characters repetition----\n", "----detect text repetitions----\n", "\n", "Group 1 found at 323-328: `Now, `\n", "\n", "Group 1 found at 475-498: `ll do. 'Tis what we sha`\n", "(0, 5479, 5479)\n", "老子就吃过。”\n", "================================================================================\n", "Do try some, it's delicious!'\n", "================================================================================\n", " I've had my supper.' 'Old Colour, you're a liar. You haven't had supper yet.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' '\n", "================================================================================\n", "----detect non-word characters repetition----\n", "----detect text repetitions----\n", "\n", "Group 1 found at 75-99: `t.' 'I have.' 'You haven`\n", "(0, 5600, 5600)\n", "宝玉笑道：“给你个榧子吃呢!\n", "================================================================================\n", "Bao-yu laughed and snapped his fingers at her: 'Put that on your tongue, girl!\n", "================================================================================\n", " 'I'll give you a button!' said Bao-yu, laughing. 'Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! 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Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here\n", "================================================================================\n", "----detect non-word characters repetition----\n", "----detect text repetitions----\n", "\n", "Group 1 found at 413-419: `! Here`\n", "(0, 6128, 6128)\n", "韦小宝哈哈大笑，道：“老乌龟便是海老公，他名字叫作海大富。\n", "================================================================================\n", "Trinket burst out laughing. 'Old Devil is what I used to call the old eunuch Hai-goong—among other things. His real name was Hai Dafu.\n", "================================================================================\n", " 'Old Turtle,'said Trinket, 'is the eunuch's real name, Hai Dafu.'He burst out laughing. 'Hai the Old Devil!'he chuckled. 'Hai the Rich!'He was enjoying himself. 'Hai the eunuch!'he said again. 'Hai the Old Turtle!'He was in hysterics. 'Hai the Old Devil!'he said once more. 'Hai the Turtle!'He was crying with laughter. 'Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle!''Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil\n", "================================================================================\n", "----detect non-word characters repetition----\n", "----detect text repetitions----\n", "\n", "Group 1 found at 321-392: `'Hai the Rich!''Hai the Old Turtle!''Hai the Old Devil!''Hai the Turtle`\n", "(0, 4599, 4599)\n", "韦小宝暗暗叫苦：“原来做太监要净身，那就是割去小便的东西。\n", "================================================================================\n", "Trinket was horrified. 'So that's what being 'purified' means: having your piss-pipe and the other bits cut off.\n", "================================================================================\n", " Trinket groaned inwardly. So that was what they meant by 'purification'! It meant cutting off your prick! He had heard of it, of course, but never imagined that it could happen to him. 'No, no, no! I'd rather die! I'd rather die! I'd rather die! he muttered to himself, over and over again. 'I'd rather die! I'd rather die! I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather\n", "================================================================================\n", "----detect non-word characters repetition----\n", "----detect text repetitions----\n", "\n", "Group 1 found at 197-213: `! I'd rather die`\n", "\n", "Group 1 found at 293-307: `I'd rather die`\n", "(0, 5589, 5589)\n", "刘姥姥道：“我也知道。\n", "================================================================================\n", "'I knew all about that,' said Grannie Liu.\n", "================================================================================\n", " 'I know that,' said Grannie Liu. 'But I was wondering if you could help me. I've got a bit of a problem on my hands. My granddaughter's husband has gone off to the capital and she's in a terrible state about it. I was wondering if you could put in a word for her. She's a very capable girl. She could help you with your work. And she's very good-looking, too. She's a real beauty. I'm sure you'd like her.''I see,' said the old eunuch. 'Well, I'll do what I can. But I can't promise anything.''I knew you'd help me,' said Grannie Liu. 'I knew you were a kind man. I'll bring her round tomorrow.''Very well,' said the old eunuch. 'Tomorrow, then. But I must warn you, I can't promise anything.''I know you can't,' said Grannie Liu. 'But I knew you'd help me. I knew you were a kind man.''Well, I'll do what I can,' said the old eunuch. 'But I must say, I'm a bit surprised. I didn't know you had a granddaughter.''Oh, yes,' said Grannie Liu. 'I've got a granddaughter. And a grandson. And a great-granddaughter. And a great-grandson.''Ah,' said the old eunuch. 'I see.''Yes,' said Grannie Liu. 'I've got a big family.''I can see that,' said the old eunuch. 'Well, I'll do what I can. But I must say, I'm a bit surprised. I didn't know you had a granddaughter.''Oh, yes,' said Grannie Liu. 'I've got a granddaughter. And a grandson. And a great-granddaughter. And a great-grandson.''Ah,' said the old eunuch. 'I see.''Yes,' said Grannie Liu. 'I've got a big family.''I can see that,' said the old eunuch. 'Well, I'll do what I can. But I must say, I'm a bit surprised. I didn't know you had a granddaughter.''Oh, yes,' said Grannie Liu. 'I've got a granddaughter. And a grandson. And a great-granddaughter. And a great-grandson.''Ah,' said the old eunuch. 'I see.''Yes,' said Grannie Liu. 'I've got a big family.''I can see that,' said the old eunuch. 'Well, I'll do what I can. But I must say, I'm a bit surprised. I didn't know you had a granddaughter.''Oh, yes,' said Grannie Liu. 'I've got a granddaughter. And a grandson. And a great-granddaughter. And a great-grandson.''Ah,' said the old eunuch. 'I see.''Yes,' said Grannie Liu. 'I've got a big family.''I can see that,' said the old eunuch. 'Well, I'll do what I can. But I must say, I'm a bit surprised. I didn't know you had a granddaughter.''Oh, yes,' said Grannie Liu. 'I've got a granddaughter. And a grandson. And a great-granddaughter. And a great-grandson.''Ah,' said the old eunuch. 'I see.''Yes,' said Grannie Liu. 'I've got a big family.''I can see that,' said the old eunuch. 'Well, I'll do what I can. But I must say, I'm a bit surprised. I didn't know you had a granddaughter.''Oh, yes,' said Grannie Liu. 'I've got a granddaughter. And a grandson. And a great-granddaughter. And a great-grandson.''Ah,' said the old eunuch. 'I see.''Yes,' said Grannie Liu. 'I've got a big family.''I can see that,' said the old eunuch. 'Well, I'll do what I can. But I must say, I'm a bit surprised. I didn't know you had a granddaughter.''Oh, yes,' said Grannie Liu. 'I've got a granddaughter. And a grandson. And a great-granddaughter. And a great-grandson.''Ah,' said the old eunuch. 'I see.''Yes,' said Grannie Liu. 'I've got a big family.''I can see that,' said the old eunuch. 'Well, I'll do what I can. But I must say, I'm a bit surprised. I didn't know you had a granddaughter.''Oh, yes,' said Grannie Liu. 'I've got a granddaughter. And a grandson. And a great-granddaughter. And a great-grandson.''Ah,' said the old eunuch. 'I see.''Yes,' said Grannie Liu. 'I've got a big family.''I can see that,' said the old eunuch. 'Well, I'll do what I can. But I must say, I'm a bit surprised. I didn't know you had a granddaughter.''Oh, yes,' said Grannie Liu. 'I've got a granddaughter. And a grandson. And a great-granddaughter. And a great-grandson.''Ah,' said the old eunuch. 'I see.''Yes,' said Grannie Liu. 'I've got a big family.''I can see that,' said the old eunuch. 'Well, I'll do what I can. But I must say, I'm a bit surprised. I didn't know you had a granddaughter.''Oh, yes,' said Grannie Liu. 'I've got a granddaughter. And a grandson. And a great-granddaughter. And a great-grandson.''Ah,' said the old eunuch. 'I see.''Yes,' said Grannie Liu. 'I've got a big family.''I can see that,' said the old eunuch. 'Well, I'll do what I can. But I must say, I'm a bit surprised. I didn't know you had a granddaughter.''Oh, yes,' said Grannie Liu. 'I've got a granddaughter. And a grandson. And a great-granddaughter. And a great-grandson.''Ah,' said the old eunuch. 'I see.''Yes,' said Grannie Liu. 'I've got a big family.''I can see that,' said the old eunuch. 'Well, I'll do what I can. But I must say, I'm a bit surprised. I didn't know you had a granddaughter.''Oh, yes,' said Grannie Liu. 'I've got a granddaughter. And a grandson. And a great-granddaughter. And a great-grandson.''Ah,' said the old eunuch. 'I see.''Yes,' said Grannie Liu. 'I've got a big family.''I can see that,' said the old eunuch. 'Well, I'll do what I can. But I must say, I'm a bit surprised. I didn't know you had a granddaughter.''Oh, yes,' said Grannie Liu. 'I've got a granddaughter. And a grandson. And a great-granddaughter. And a great-grandson.''Ah,' said the old eunuch. 'I see.''Yes,' said Grannie Liu. 'I've got a big family.''I can see that,' said the old eunuch. 'Well, I'll do what I can. But I must say, I'm a bit surprised. I didn't know you had a granddaughter.''Oh, yes,' said Grannie Liu. 'I've got a granddaughter. And a grandson. And a great-granddaughter. And a great-grandson.''Ah,' said the old eunuch. 'I see.''Yes,' said Grannie Liu. 'I've got a big family.''I can see that,' said the old eunuch. 'Well, I'll do what I can. But I must say, I'm a bit surprised. I didn't know you had a granddaughter.''Oh, yes,' said Grannie Liu. 'I've got a granddaughter. And a grandson. And a great-granddaughter. And a great-grandson.''Ah,' said the old eunuch. 'I see.''Yes,' said Grannie Liu. 'I've got a big family.''I can see that,' said the old eunuch. 'Well, I'll do what I can. But I must say, I'm a bit surprised. I didn't know you had a granddaughter.''Oh, yes,' said Grannie Liu. 'I've got a granddaughter. And a grandson. And a great-granddaughter. And a great-grandson.''Ah,' said the old eunuch. 'I see.''Yes,' said Grannie Liu. 'I've got a big family.''I can see that,' said the old eunuch. 'Well, I'll do what I can. But I must say, I'm a bit surprised. I didn't know you had a granddaughter.''Oh, yes,' said Grannie Liu. 'I've got a granddaughter. And a grandson. And a great-granddaughter\n", "================================================================================\n", "----detect non-word characters repetition----\n", "----detect text repetitions----\n", "\n", "Group 1 found at 837-1182: `But I must say, I'm a bit surprised. I didn't know you had a granddaughter.''Oh, yes,' said Grannie Liu. 'I've got a granddaughter. And a grandson. And a great-granddaughter. And a great-grandson.''Ah,' said the old eunuch. 'I see.''Yes,' said Grannie Liu. 'I've got a big family.''I can see that,' said the old eunuch. 'Well, I'll do what I can`\n", "(0, 5205, 5205)\n", "将她抱起，坐在椅上，说道：“你瞧着，我在你身上各个部位指点，倘若指得对的，你就眨三下眼睛，指得不对，眼睛睁得大大的，一动也不能动。\n", "================================================================================\n", "He lifted her up in his arms and sat her down in a chair. 'Now look,' he said, 'I'm going to start pointing to places on your body. If I point to the right place, blink three times; if it isn't right, just keep your eyes open and don't move.\n", "================================================================================\n", " He lifted her up and sat her in a chair. 'Now, I'm going to point to different parts of your body. If I point to the right place, you blink your eyes three times; if I don't, you keep them wide open and perfectly still. Understand? Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上\n", "================================================================================\n", "----detect non-word characters repetition----\n", "----detect text repetitions----\n", "\n", "Group 1 found at 232-318: ` Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗`\n", "(0, 2523, 2523)\n", "韦小宝大喜，来不及装饭，夹起一块红烧肉便吃，虽然菜肴早已冷了，吞入饥肠，却是说不出的美味，心想：“这些饭菜不知是谁送来的。\n", "================================================================================\n", "Trinket was delighted, and without bothering to fill his bowl with rice, he attacked a dish of stewed meat. The food was cold, but he was hungry, and to him it was indescribably delicious. 'I wonder where they get the food from?\n", "================================================================================\n", " Trinket was so pleased that he did not even bother to serve himself a plateful, but simply picked up a piece of the cold meat in his fingers and popped it into his mouth. It was delicious. 'I wonder who sent this,' he thought. 'It's very nice of them. 'Then he remembered that he had asked Whiskers to get him some food. 'It must have been Whiskers,' he thought. 'I hope he didn't steal it. 'But then he thought of something else. 'I hope he didn't go to the Helmsman's place. 'He was just starting to worry about this, when there was a knock at the door. 'Come in!' he said. 'It's me, Whiskers,' said the voice outside. 'I've brought you some pickles. 'Trinket's heart sank. 'Oh, it's you,' he said. 'Come in, then. 'Whiskers came in and closed the door behind him. 'I hope you like them,' he said. 'I got them from the Helmsman's. 'Trinket's heart sank even further. 'What were you doing at the Helmsman's?' he asked. 'I went to ask for some food for you,' said Whiskers. 'I told them you were ill. 'Trinket's heart was now in his boots. 'What did they say?' he asked. 'They said they'd heard you were ill,' said Whiskers, 'and they sent you their best wishes for your recovery. 'Trinket's heart was now in his boots. 'What did they say?' he asked. 'They said they'd heard you were ill,' said Whiskers, 'and they sent you their best wishes for your recovery. 'Trinket's heart sank. 'Oh, it's you,' he said. 'Come in, then. 'Whiskers came in and closed the door behind him. 'I hope you like them,' he said. 'I got them from the Helmsman's. 'Trinket's heart sank even further. 'What were you doing at the Helmsman's?' he asked. 'I went to ask for some food for you,' said Whiskers. 'I told them you were ill. 'Trinket's heart was now in his boots. 'What did they say?' he asked. 'They said they'd heard you were ill,' said Whiskers, 'and they sent you their best wishes for your recovery. 'Trinket's heart sank. 'Oh, it's you,' he said. 'Come in, then. 'Whiskers came in and closed the door behind him. 'I hope you like them,' he said. 'I got them from the Helmsman's. 'Trinket's heart sank even further. 'What were you doing at the Helmsman's?' he asked. 'I went to ask for some food for you,' said Whiskers. 'I told them you were ill. 'Trinket's heart was now in his boots. 'What did they say?' he asked. 'They said they'd heard you were ill,' said Whiskers, 'and they sent you their best wishes for your recovery. 'Trinket's heart sank. 'Oh, it's you,' he said. 'Come in, then. 'Whiskers came in and closed the door behind him. 'I hope you like them,' he said. 'I got them from the Helmsman's. 'Trinket's heart sank even further. 'What were you doing at the Helmsman's?' he asked. 'I went to ask for some food for you,' said Whiskers. 'I told them you were ill. 'Trinket's heart was now in his boots. 'What did they say?' he asked. 'They said they'd heard you were ill,' said Whiskers, 'and they sent you their best wishes for your recovery. 'Trinket's heart sank. 'Oh, it's you,' he said. 'Come in, then. 'Whiskers came in and closed the door behind him. 'I hope you like them,' he said. 'I got them from the Helmsman's. 'Trinket's heart sank even further. 'What were you doing at the Helmsman's?' he asked. 'I went to ask for some food for you,' said Whiskers. 'I told them you were ill. 'Trinket's heart was now in his boots. 'What did they say?' he asked. 'They said they'd heard you were ill,' said Whiskers, 'and they sent you their best wishes for your recovery. 'Trinket's heart sank. 'Oh, it's you,' he said. 'Come in, then. 'Whiskers came in and closed the door behind him. 'I hope you like them,' he said. 'I got them from the Helmsman's. 'Trinket's heart sank even further. 'What were you doing at the Helmsman's?' he asked. 'I went to ask for some food for you,' said Whiskers. 'I told them you were ill. 'Trinket's heart was now in his boots. 'What did they say?' he asked. 'They said they'd heard you were ill,' said Whiskers, 'and they sent you their best wishes for your recovery. 'Trinket's heart sank. 'Oh, it's you,' he said. 'Come in, then. 'Whiskers came in and closed the door behind him. 'I hope you like them,' he said. 'I got them from the Helmsman's. 'Trinket's heart sank even further. 'What were you doing at the Helmsman's?' he asked. 'I went to ask for some food for you,' said Whiskers. 'I told them you were ill. 'Trinket's heart was now in his boots. 'What did they say?' he asked. 'They said they'd heard you were ill,' said Whiskers, 'and they sent you their best wishes for your recovery. 'Trinket's heart sank. 'Oh, it's you,' he said. 'Come in, then. 'Whiskers came in and closed the door behind him. 'I hope you like them,' he said. 'I got them from the Helmsman's. 'Trinket's heart sank even further. 'What were you doing at the Helmsman's?' he asked. 'I went to ask for some food for you,' said Whiskers. 'I told them you were ill. 'Trinket's heart was now in his boots. 'What did they say?' he asked. 'They said they'd heard you were ill,' said Whiskers, 'and they sent you their best wishes for your recovery. 'Trinket's heart sank. 'Oh, it's you,' he said. 'Come in, then. 'Whiskers came in and closed the door behind him. 'I hope you like them,' he said. 'I got them from the Helmsman's. 'Trinket's heart sank even further. 'What were you doing at the Helmsman's?' he asked. 'I went to ask for some food for you,' said Whiskers. 'I told them you were ill. 'Trinket's heart was now in his boots. 'What did they say?' he asked. 'They said they'd heard you were ill,' said Whiskers, 'and they sent you their best wishes for your recovery. 'Trinket's heart sank. 'Oh, it's you,' he said. 'Come in, then. 'Whiskers came in and closed the door behind him. 'I hope you like them,' he said. 'I got them from the Helmsman's. 'Trinket's heart sank even further. 'What were you doing at the Helmsman's?' he asked. 'I went to ask for some food for you,' said Whiskers. 'I told them you were ill. 'Trinket's heart was now in his boots. 'What did they say?' he asked. 'They said they'd heard you were ill,' said Whiskers, 'and they sent you their best wishes for your recovery. 'Trinket's heart sank. 'Oh, it's you,' he said. 'Come in, then. 'Whiskers came in and closed the door behind him. 'I hope you like them,' he said. 'I got them from the Helmsman's. 'Trinket's heart sank even further. 'What were you doing at the Helmsman's?' he asked. 'I went to ask for some food for you,' said Whiskers. 'I told them you were ill. 'Trinket's heart was now in his boots. 'What did they say?' he asked. 'They said they'd heard you were ill,' said Whiskers, 'and they sent you their best wishes for your recovery. 'Trinket's heart sank. 'Oh, it's you,' he said. 'Come in, then. 'Whiskers came in and closed the door behind him. 'I hope you like them,' he said. 'I got them from the Helmsman's. 'Trinket's heart sank even further. 'What were you doing at the Helmsman's?' he asked. 'I went to ask for some food for you,' said Whiskers. 'I told them you were ill. 'Trinket's heart was now in his boots. 'What did they\n", "================================================================================\n", "----detect non-word characters repetition----\n", "----detect text repetitions----\n", "\n", "Group 1 found at 1000-1180: `. 'Trinket's heart was now in his boots. 'What did they say?' he asked. 'They said they'd heard you were ill,' said Whiskers, 'and they sent you their best wishes for your recovery`\n", "\n", "Group 1 found at 1360-1888: `. 'Trinket's heart sank. 'Oh, it's you,' he said. 'Come in, then. 'Whiskers came in and closed the door behind him. 'I hope you like them,' he said. 'I got them from the Helmsman's. 'Trinket's heart sank even further. 'What were you doing at the Helmsman's?' he asked. 'I went to ask for some food for you,' said Whiskers. 'I told them you were ill. 'Trinket's heart was now in his boots. 'What did they say?' he asked. 'They said they'd heard you were ill,' said Whiskers, 'and they sent you their best wishes for your recovery`\n", "(0, 4932, 4932)\n", "韦小宝道：“今儿我赌了钱回来，遇到一个小…… 小太监，拦住了路，要我分钱给他，我不肯，他就跟我比武，说道我胜得过他，才放我走。\n", "================================================================================\n", "'Well, after today's game, I met this . . . little eunuch, who stood in my way and asked me to give him some of my winnings. I wouldn't, so we ended up fighting.\n", "================================================================================\n", " 'I was coming back from gambling today when I met this little... this little eunuch who barred my way and wanted me to give him some money. I refused, so he said he'd let me go if I could beat him in a fight. So I fought him. And I beat him. And he let me go. That's all.''I see,'said the Helmsman. 'Well, you'd better come with me.'And he led Trinket off to the Upper Library. The little eunuch was waiting for them there. 'This is the boy,'said the Helmsman. 'He says he beat you in a fight.''Yes,'said the little eunuch. 'He did.''Well, what do you want me to do with him?' 'I want you to punish him,'said the little eunuch. 'He beat me up.''All right,'said the Helmsman. 'I'll punish him. But first I want to know what you were doing when you met him.''I was on my way to the Upper Library to report.''And what were you doing when you met him?' he asked Trinket. 'I was on my way to the Upper Library to report.''I see,'said the Helmsman. 'Well, it seems to me that you were both on the same errand. Why did you want to fight each other?' 'I didn't want to fight him,'said the little eunuch. 'He wanted to fight me.''No, I didn't,'said Trinket. 'He wanted to fight me.''I see,'said the Helmsman. 'Well, I think I know what we'd better do. You'd better fight each other again.''Yes,'said the little eunuch. 'I'll fight him again.''No,'said Trinket. 'I don't want to fight him again.''I'm afraid you'll have to,'said the Helmsman. 'It's the only way we can find out who's the better man.''But I don't want to fight him,'said Trinket. 'I'm afraid you'll have to,'said the Helmsman. 'It's the only way we can find out who's the better man.''But I don't want to fight him,'said Trinket. 'I'm afraid you'll have to,'said the Helmsman. 'It's the only way we can find out who's the better man.''But I don't want to fight him,'said Trinket. 'I'm afraid you'll have to,'said the Helmsman. 'It's the only way we can find out who's the better man.''But I don't want to fight him,'said Trinket. 'I'm afraid you'll have to,'said the Helmsman. 'It's the only way we can find out who's the better man.''But I don't want to fight him,'said Trinket. 'I'm afraid you'll have to,'said the Helmsman. 'It's the only way we can find out who's the better man.''But I don't want to fight him,'said Trinket. 'I'm afraid you'll have to,'said the Helmsman. 'It's the only way we can find out who's the better man.''But I don't want to fight him,'said Trinket. 'I'm afraid you'll have to,'said the Helmsman. 'It's the only way we can find out who's the better man.''But I don't want to fight him,'said Trinket. 'I'm afraid you'll have to,'said the Helmsman. 'It's the only way we can find out who's the better man.''But I don't want to fight him,'said Trinket. 'I'm afraid you'll have to,'said the Helmsman. 'It's the only way we can find out who's the better man.''But I don't want to fight him,'said Trinket. 'I'm afraid you'll have to,'said the Helmsman. 'It's the only way we can find out who's the better man.''But I don't want to fight him,'said Trinket. 'I'm afraid you'll have to,'said the Helmsman. 'It's the only way we can find out who's the better man.''But I don't want to fight him,'said Trinket. 'I'm afraid you'll have to,'said the Helmsman. 'It's the only way we can find out who's the better man.''But I don't want to fight him,'said Trinket. 'I'm afraid you'll have to,'said the Helmsman. 'It's the only way we can find out who's the better man.''But I don't want to fight him,'said Trinket. 'I'm afraid you'll have to,'said the Helmsman. 'It's the only way we can find out who's the better man.''But I don't want to fight him,'said Trinket. 'I'm afraid you'll have to,'said the Helmsman. 'It's the only way we can find out who's the better man.''But I don't want to fight him,'said Trinket. 'I'm afraid you'll have to,'said the Helmsman. 'It's the only way we can find out who's the better man.''But I don't want to fight him,'said Trinket. 'I'm afraid you'll have to,'said the Helmsman. 'It's the only way we can find out who's the better man.''But I don't want to fight him,'said Trinket. 'I'm afraid you'll have to,'said the Helmsman. 'It's the only way we can find out who's the better man.''But I don't want to fight him,'said Trinket. 'I'm afraid you'll have to,'said the Helmsman. 'It's the only way we can find out who's the better man.''But I don't want to fight him,'said Trinket. 'I'm afraid you'll have to,'said the Helmsman. 'It's the only way we can find out who's the better man.''But I don't want to fight him,'said Trinket. 'I'm afraid you'll have to,'said the Helmsman. 'It's the only way we can find out who's the better man.''But I don't want to fight him,'said Trinket. 'I'm afraid you'll have to,'said the Helmsman. 'It's the only way we can find out who's the better man.''But I don't want to fight him,'said Trinket. 'I'm afraid you'll have to,'said the Helmsman. 'It's the only way we can find out who's the better man.''But I don't want to fight him,'said Trinket. 'I'm afraid you'll have to,'said the Helmsman. 'It's the only way we can find out who's the better man.''But I don't want to fight him,'said Trinket. 'I'm afraid you'll have to,'said the Helmsman. 'It's the only way we can find out who's the better man.''But I don't want to fight him,'said Trinket. 'I'm afraid you'll have to,'said the Helmsman. 'It's the only way we can find out who's the better man.''But I don't want to fight him,'said Trinket. 'I'm afraid you'll have to,'said the Helmsman. 'It's the only way we can find out who's the better man.''But I don't want to fight him,'said Trinket. 'I'm afraid you'll have to,'said the Helmsman. 'It's the only way we can find out who's the better man.''But I don't want to fight him,'said Trinket. 'I'm afraid you'll have to,'said the Helmsman. 'It's the only way we can find out who's the better man.''But I don't want to fight him,'said Trinket. 'I'm afraid you'll have to,'said the Helmsman. 'It's the only way we can find out who's the better man.''But I don't want to fight him,'said Trinket. 'I'm afraid you'll have to,'said the Helmsman. 'It's the only way we can find out who's the better man.''But I don't want to fight him,'said Trinket. 'I'm afraid you'll have to,'said the Helmsman. 'It's the only way we can find out who's the better man.''But I don't want to fight him,'said Trinket. 'I\n", "================================================================================\n", "----detect non-word characters repetition----\n", "----detect text repetitions----\n", "\n", "Group 1 found at 50-62: ` this little`\n", "\n", "Group 1 found at 1387-1535: `'I'm afraid you'll have to,'said the Helmsman. 'It's the only way we can find out who's the better man.''But I don't want to fight him,'said Trinket`\n", "(0, 4815, 4815)\n", "顾炎武道：“此诗结得甚妙！\n", "================================================================================\n", "'Your conclusion is excellent, ' said Gu.\n", "================================================================================\n", " 'The poem ends very well,'said Gu. 'I like the way it rounds off.''Yes,'said Huang, 'the whole thing is very well constructed.''I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang. 'I think it is a very good poem,'said Gu. 'I think it is a very good\n", "================================================================================\n", "----detect non-word characters repetition----\n", "----detect text repetitions----\n", "\n", "Group 1 found at 128-213: `'I think it is a very good poem,'said Gu. 'I think it is a very good poem,'said Huang`\n", "(0, 6090, 6090)\n", "顾炎武举起酒杯，高声吟道：\n", "================================================================================\n", "Gu Yanwu raised his wine-cup and, in ringing tones, recited the following couplet:\n", "================================================================================\n", " Gu Yanwu raised his cup and recited in a loud voice: 'When a man's heart is sore, 'Tis wine that he desires. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. '\n", "================================================================================\n", "----detect non-word characters repetition----\n", "----detect text repetitions----\n", "\n", "Group 1 found at 82-108: ` 'Tis wine that he desires`\n", "\n", "Group 1 found at 135-199: `, And drinking is the cure for sorrow. 'Tis wine that he desires`\n", "(0, 7963, 7963)\n", "凤姐道：“正是呢。\n", "================================================================================\n", "'Yes, indeed!' said Xi-feng.\n", "================================================================================\n", " 'That's it,' said Xi-feng. 'That's what I meant. 'Tis the season of the falling leaves. The trees are bare. The flowers are all gone. It is a time of decay and death. 'Tis the very image of human life. 'Tis a season of decline and fall. 'Tis the time of year when the grasshopper's wing is bare. 'Tis the time of year when the tree can be mistaken for a withered stick. 'Tis the time of year when the man is like the tree. 'Tis the time of year when the tree is like the man. 'Tis the time of year when the tree and the man are alike. 'Tis the time of year when the tree and the man are one. 'Tis the time of year when the tree and the man are the same. 'Tis the time of year when the tree and the man are indistinguishable. 'Tis the time of year when the tree and the man are as one. 'Tis the time of year when the tree and the man are one and the same. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the\n", "================================================================================\n", "----detect non-word characters repetition----\n", "----detect text repetitions----\n", "\n", "Group 1 found at 854-922: `. 'Tis the time of year when the tree and the man are the same thing`\n", "(0, 6732, 6732)\n", "海老公摇头道：“好什么？\n", "================================================================================\n", "'Better?' said the old eunuch shaking his head.\n", "================================================================================\n", " 'What's good about it? said the old eunuch, shaking his head. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business.\n", "================================================================================\n", "----detect non-word characters repetition----\n", "----detect text repetitions----\n", "\n", "Group 1 found at 61-86: `. 'It's a rotten business`\n", "(0, 7225, 7225)\n", "周瑞家的认了半日，方笑道：“刘姥姥，你好?\n", "================================================================================\n", "Zhou Rui's wife scrutinized her questioningly for some moments before finally recognizing her. 'Why, it's Grannie Liu! How are you?\n", "================================================================================\n", " Grannie Liu! How are you? It's such a long time since we've seen you!'Zhou Rui's wife said, after a moment's scrutiny. 'How are you?'she added, smiling. 'It's such a long time since we've seen you!''I'm very well, thank you, my dear,'said Grannie Liu. 'I hope you are.''Oh, I'm very well,'said Zhou Rui's wife. 'But I say, what brings you here?''I've come to see Her Old Ladyship,'said Grannie Liu. 'I've brought some eggs and a couple of chickens for her.''Oh really?'said Zhou Rui's wife. 'Well, you'd better come inside then.'She led the way into the courtyard and through the gate of the inner courtyard, and Grannie Liu followed her, carrying her basket. 'I'll go in and tell Her Old Ladyship you're here,'said Zhou Rui's wife. 'You wait here.'She went into the study and announced Grannie Liu's arrival. Lady Jia told her to bring her in. Zhou Rui's wife returned to the courtyard and said, 'Her Old Ladyship says you can go in.'Grannie Liu followed her into the study. Lady Jia was sitting on the kang, and Grannie Liu went up to her and kotowed. 'I hope you are quite better now, Your Ladyship,'she said. 'I heard you had been very ill.''I'm a bit better now, thank you, Grannie,'said Lady Jia. 'But I'm still very weak.''I've brought you some eggs,'said Grannie Liu. 'I hope you'll eat them.''Thank you, Grannie,'said Lady Jia. 'I'm sure they are very nice.'She told Zhou Rui's wife to take the eggs and put them in the kitchen. 'And I've brought you a couple of chickens,'said Grannie Liu. 'I hope you'll accept them.''Thank you, Grannie,'said Lady Jia. 'That's very kind of you.''I hope you'll eat them,'said Grannie Liu. 'I hope you'll eat them.''I'm sure we shall,'said Lady Jia. 'Thank you very much.''I hope you'll eat them,'said Grannie Liu. 'I hope you'll eat them.''I'm sure we shall,'said Lady Jia. 'Thank you very much.''I hope you'll eat them,'said Grannie Liu. 'I hope you'll eat them.''I'm sure we shall,'said Lady Jia. 'Thank you very much.''I hope you'll eat them,'said Grannie Liu. 'I hope you'll eat them.''I'm sure we shall,'said Lady Jia. 'Thank you very much.''I hope you'll eat them,'said Grannie Liu. 'I hope you'll eat them.''I'm sure we shall,'said Lady Jia. 'Thank you very much.''I hope you'll eat them,'said Grannie Liu. 'I hope you'll eat them.''I'm sure we shall,'said Lady Jia. 'Thank you very much.''I hope you'll eat them,'said Grannie Liu. 'I hope you'll eat them.''I'm sure we shall,'said Lady Jia. 'Thank you very much.''I hope you'll eat them,'said Grannie Liu. 'I hope you'll eat them.''I'm sure we shall,'said Lady Jia. 'Thank you very much.''I hope you'll eat them,'said Grannie Liu. 'I hope you'll eat them.''I'm sure we shall,'said Lady Jia. 'Thank you very much.''I hope you'll eat them,'said Grannie Liu. 'I hope you'll eat them.''I'm sure we shall,'said Lady Jia. 'Thank you very much.''I hope you'll eat them,'said Grannie Liu. 'I hope you'll eat them.''I'm sure we shall,'said Lady Jia. 'Thank you very much.''I hope you'll eat them,'said Grannie Liu. 'I hope you'll eat them.''I'm sure we shall,'said Lady Jia. 'Thank you very much.''I hope you'll eat them,'said Grannie Liu. 'I hope you'll eat them.''I'm sure we shall,'said Lady Jia. 'Thank you very much.''I hope you'll eat them,'said Grannie Liu. 'I hope you'll eat them.''I'm sure we shall,'said Lady Jia. 'Thank you very much.''I hope you'll eat them,'said Grannie Liu. 'I hope you'll eat them.''I'm sure we shall,'said Lady Jia. 'Thank you very much.''I hope you'll eat them,'said Grannie Liu. 'I hope you'll eat them.''I'm sure we shall,'said Lady Jia. 'Thank you very much.''I hope you'll eat them,'said Grannie Liu. 'I hope you'll eat them.''I'm sure we shall,'said Lady Jia. 'Thank you very much.''I hope you'll eat them,'said Grannie Liu. 'I hope you'll eat them.''I'm sure we shall,'said Lady Jia. 'Thank you very much.''I hope you'll eat them,'said Grannie Liu. 'I hope you'll eat them.''I'm sure we shall,'said Lady Jia. 'Thank you very much.''I hope you'll eat them,'said Grannie Liu. 'I hope you'll eat them.''I'm sure we shall,'said Lady Jia. 'Thank you very much.''I hope you'll eat them,'said Grannie Liu. 'I hope you'll eat them.''I'm sure we shall,'said Lady Jia. 'Thank you very much.''I hope you'll eat them,'said Grannie Liu. 'I hope you'll eat them.''I'm sure we shall,'said Lady Jia. 'Thank you very much.''I hope you'll eat them,'said Grannie Liu. 'I hope you'll eat them.''I'm sure we shall,'said Lady Jia. 'Thank you very much.''I hope you'll eat them,'said Grannie Liu. 'I hope you'll eat them.''I'm sure we shall,'said Lady Jia. 'Thank you very much.''I hope you'll eat them,'said Grannie Liu. 'I hope you'll eat them.''I'm sure we shall,'said Lady Jia. 'Thank you very much.''I hope you'll eat them,'said Grannie Liu. 'I hope you'll eat them.''I'm sure we shall,'said Lady Jia. 'Thank you very much.''I hope you'll eat them,'said Grannie Liu. 'I hope you'll eat them.''I'm sure we shall,'said Lady Jia. 'Thank you very much.''I hope you'll eat them,'said Grannie Liu. 'I hope you'll eat them.''I'm sure we shall,'said Lady Jia. 'Thank you very much.''I hope you'll eat them,'said Grannie Liu. 'I hope you'll eat them.''I'm sure we shall,'said Lady Jia. 'Thank you very much.''I hope you'll eat them,'said Grannie Liu. 'I hope you'll eat them.''I'm sure we shall,'said Lady Jia. 'Thank you very much.''I hope you'll eat them,'said Grannie Liu. 'I hope you'll eat them.''I'm sure we shall,'said Lady Jia. 'Thank you very much.''I hope you'll eat them,'said Grannie Liu. 'I hope you'll eat them.''I'm sure we shall,'said Lady Jia. 'Thank you very much.''I hope you'll eat them,'said Grannie Liu. 'I hope you'll eat them.''I'm sure we shall,'said Lady Jia. 'Thank you very much.''I hope you'll eat them,'said Grannie Liu. 'I hope you'll eat them.''I'm sure we shall,'said Lady Jia. 'Thank you very much.''I hope you'll eat them,'said Grannie Liu. 'I hope you'll eat them.''I'm sure we shall,'said Lady Jia. 'Thank you very much.''I hope you'll eat them,'said Grannie Liu. 'I hope you'll eat them.''I'm sure we shall,'said Lady Jia. 'Thank you very much.''I hope you'll eat them,'said Grannie Liu. 'I hope you'll eat them.''I'm sure we shall,'said Lady\n", "================================================================================\n", "----detect non-word characters repetition----\n", "----detect text repetitions----\n", "\n", "Group 1 found at 1589-1714: `.''I hope you'll eat them,'said Grannie Liu. 'I hope you'll eat them.''I'm sure we shall,'said Lady Jia. 'Thank you very much`\n", "(0, 4375, 4375)\n", "薛蟠道：“要不是，我也不敢惊动：只因下月初三日，是我的生日，谁知老胡和老程他们，不知那里寻了来的：这么粗，这么长，粉脆的鲜藕；这么大的西瓜；这么长，这么大的暹罗国进贡的灵柏香熏的暹罗猪、鱼。\n", "================================================================================\n", "'Look,' said Xue Pan. 'I wouldn't have troubled you otherwise, only it's my birthday on the third of next month and old Hu and old Cheng and a couple of the others, I don't know where they got them from but they've given me: a piece of fresh lotus root, ever so crisp and crunchy, as thick as that, look, and as long as that; a huge great melon, look, as big as that; a freshly-caught sturgeon as big as that; and a cypress-smoked Siamese sucking-pig as big as that that came in the tribute from Siam.\n", "================================================================================\n", " 'I wouldn't have troubled you if it wasn't important. It's my birthday on the third, you see, and I've got hold of some really choice things. Old Hu and Old Cheng have got hold of some of the biggest, longest, crispest water-lilies you've ever seen; and some enormous melons; and some Siamese smoked pork and fish, as long as this and as big as this, that they've got hold of somewhere.''Ah, yes!'said Jia Yun. 'I remember now. It's next month. I'll have to get you a birthday present.''No, no, no!'said Xue Pan. 'I don't want a present. All I want is for you to come and help me eat them.''All right,'said Jia Yun. 'I'll come.''Good!'said Xue Pan. 'I knew you'd come. You're a real friend.''But you have to promise me one thing,'said Jia Yun. 'What's that?''You have to promise not to invite any of those rowdies.''I promise,'said Xue Pan. 'I promise. I promise.''All right,'said Jia Yun. 'I'll come then.''Good!'said Xue Pan. 'I knew you'd come. You're a real friend.''But you have to promise me one thing,'said Jia Yun. 'What's that?''You have to promise not to invite any of those rowdies.''I promise,'said Xue Pan. 'I promise. I promise.''All right,'said Jia Yun. 'I'll come then.''Good!'said Xue Pan. 'I knew you'd come. You're a real friend.''But you have to promise me one thing,'said Jia Yun. 'What's that?''You have to promise not to invite any of those rowdies.''I promise,'said Xue Pan. 'I promise. I promise.''All right,'said Jia Yun. 'I'll come then.''Good!'said Xue Pan. 'I knew you'd come. You're a real friend.''But you have to promise me one thing,'said Jia Yun. 'What's that?''You have to promise not to invite any of those rowdies.''I promise,'said Xue Pan. 'I promise. I promise.''All right,'said Jia Yun. 'I'll come then.''Good!'said Xue Pan. 'I knew you'd come. You're a real friend.''But you have to promise me one thing,'said Jia Yun. 'What's that?''You have to promise not to invite any of those rowdies.''I promise,'said Xue Pan. 'I promise. I promise.''All right,'said Jia Yun. 'I'll come then.''Good!'said Xue Pan. 'I knew you'd come. You're a real friend.''But you have to promise me one thing,'said Jia Yun. 'What's that?''You have to promise not to invite any of those rowdies.''I promise,'said Xue Pan. 'I promise. I promise.''All right,'said Jia Yun. 'I'll come then.''Good!'said Xue Pan. 'I knew you'd come. You're a real friend.''But you have to promise me one thing,'said Jia Yun. 'What's that?''You have to promise not to invite any of those rowdies.''I promise,'said Xue Pan. 'I promise. I promise.''All right,'said Jia Yun. 'I'll come then.''Good!'said Xue Pan. 'I knew you'd come. You're a real friend.''But you have to promise me one thing,'said Jia Yun. 'What's that?''You have to promise not to invite any of those rowdies.''I promise,'said Xue Pan. 'I promise. I promise.''All right,'said Jia Yun. 'I'll come then.''Good!'said Xue Pan. 'I knew you'd come. You're a real friend.''But you have to promise me one thing,'said Jia Yun. 'What's that?''You have to promise not to invite any of those rowdies.''I promise,'said Xue Pan. 'I promise. I promise.''All right,'said Jia Yun. 'I'll come then.''Good!'said Xue Pan. 'I knew you'd come. You're a real friend.''But you have to promise me one thing,'said Jia Yun. 'What's that?''You have to promise not to invite any of those rowdies.''I promise,'said Xue Pan. 'I promise. I promise.''All right,'said Jia Yun. 'I'll come then.''Good!'said Xue Pan. 'I knew you'd come. You're a real friend.''But you have to promise me one thing,'said Jia Yun. 'What's that?''You have to promise not to invite any of those rowdies.''I promise,'said Xue Pan. 'I promise. I promise.''All right,'said Jia Yun. 'I'll come then.''Good!'said Xue Pan. 'I knew you'd come. You're a real friend.''But you have to promise me one thing,'said Jia Yun. 'What's that?''You have to promise not to invite any of those rowdies.''I promise,'said Xue Pan. 'I promise. I promise.''All right,'said Jia Yun. 'I'll come then.''Good!'said Xue Pan. 'I knew you'd come. You're a real friend.''But you have to promise me one thing,'said Jia Yun. 'What's that?''You have to promise not to invite any of those rowdies.''I promise,'said Xue Pan. 'I promise. I promise.''All right,'said Jia Yun. 'I'll come then.''Good!'said Xue Pan. 'I knew you'd come. You're a real friend.''But you have to promise me one thing,'said Jia Yun. 'What's that?''You have to promise not to invite any of those rowdies.''I promise,'said Xue Pan. 'I promise. I promise.''All right,'said Jia Yun. 'I'll come then.''Good!'said Xue Pan. 'I knew you'd come. You're a real friend.''But you have to promise me one thing,'said Jia Yun. 'What's that?''You have to promise not to invite any of those rowdies.''I promise,'said Xue Pan. 'I promise. I promise.''All right,'said Jia Yun. 'I'll come then.''Good!'said Xue Pan. 'I knew you'd come. You're a real friend.''But you have to promise me one thing,'said Jia Yun. 'What's that?''You have to promise not to invite any of those rowdies.''I promise,'said Xue Pan. 'I promise. I promise.''All right,'said Jia Yun. 'I'll come then.''Good!'said Xue Pan. 'I knew you'd come. You're a real friend.''But you have to promise me one thing,'said Jia Yun. 'What's that?''You have to promise not to invite any of those rowdies.''I promise,'said Xue Pan. 'I promise. I promise.''All right,'said Jia Yun. 'I'll come then.''Good!'said Xue Pan. 'I knew you'd come. You're a real friend.''But you have to promise me one thing,'said Jia Yun. 'What's that?''You have to promise not to invite any of those rowdies.''I promise,'said Xue Pan. 'I promise. I promise.''All right,'said Jia Yun. 'I'll come then.''Good!'said Xue Pan. 'I knew you'd come. You're a real friend.''But you have to promise me one thing,'said Jia Yun. 'What's that?''You have to promise not to invite any of those rowdies.''I promise,'said Xue Pan. 'I promise. I promise.''All right,'said Jia Yun. 'I'll come then.''Good!'said Xue Pan. 'I knew you'd come. You're a real friend.''But you have to promise me one thing,'said Jia Yun. 'What's that?\n", "================================================================================\n", "----detect non-word characters repetition----\n", "----detect text repetitions----\n", "\n", "Group 1 found at 627-906: `.''Good!'said Xue Pan. 'I knew you'd come. You're a real friend.''But you have to promise me one thing,'said Jia Yun. 'What's that?''You have to promise not to invite any of those rowdies.''I promise,'said Xue Pan. 'I promise. I promise.''All right,'said Jia Yun. 'I'll come then`\n", "(0, 5022, 5022)\n", "\n", "*** Found 15 rows with output_tokens >= 2048 for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00\n", "--------------------------------------------------\n", "chinese: 海老公道：“哼，掀住肩头有什么用？\n", "--------------------------------------------------\n", "english: 'That's no good!\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00: 'Humph! What's the sense in carrying it on your shoulder? he said. 'You'd better let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I can carry it for you. It's heavy, isn't it? Let me take it. I\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00: 2048\n", "--------------------------------------------------\n", "chinese: 宝钗见贾环急了，便瞅了莺儿一眼，说道：“越大越没规矩!\n", "--------------------------------------------------\n", "english: Bao-chai could see that Jia Huan was rattled, and darting a sharp look at Oriole, commanded her to yield. 'You grow more unmannerly every day,' she told her.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00: Bao-chai saw that Jia Huan was getting angry and gave a little glance to Oriole. 'You're getting more and more unmannerly the older you get! she said. 'What do you want to go asking questions like that for? 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 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'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to be careful. 'I'm sure you didn't mean any harm, but you ought to\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00: 2048\n", "--------------------------------------------------\n", "chinese: 海老公道：“这小娃娃叫什么名字？\n", "--------------------------------------------------\n", "english: 'What was the little fellow's name?\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00: 'What's the little blighter's name?' said the old eunuch. 'Howsomever, I suppose it don't matter. 'Tis a long time since I've seen a child so young. 'Tis a pity he's a boy. If he were a girl, I could have taken him in with me. I could have brought him up as a maid-in-waiting. 'Twould have been a good thing for him. 'Twould have been a good thing for me. 'Twould have been a good thing for everyone. 'Tis a pity he's a boy. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. 'Tis a pity. '\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00: 2048\n", "--------------------------------------------------\n", "chinese: “在，大叔，长得好好的，就是耳朵流血啦。”\n", "--------------------------------------------------\n", "english: 'It's there, Uncle, right where it's supposed to be. Except your ear's bleeding.'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00: 'Yes, Uncle. I'm fine, except my ear is bleeding.' 'I see. Well, just stay there for a while. I'll be right there.' 'Yes, Uncle.' 'And don't move around too much. You might make it worse.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes, Uncle.' 'Old Geng, you stay with him. Keep an eye on him.' 'Yes, Uncle.' 'I'll be right there.' 'Yes\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00: 2048\n", "--------------------------------------------------\n", "chinese: 宝玉会意，忽听“唿”一声帘子响，晴雯又跑进来问道：“我怎么磨牙了?\n", "--------------------------------------------------\n", "english: Bao-yu took her meaning; but it was too late. With another swish of the door-blind, Skybright had already darted in again. 'Oh! Sharp-tongued, am I?\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00: Bao-yu understood that he was being asked to go to bed. Just then there was a sudden swish of the door-blind and Skybright came running in again. 'What are you doing? Grinding your teeth? he said. 'You'd better go to bed! 'And she pulled the bed-curtains open for him. 'Come along! Get in! 'She said. 'I'll tuck you up! 'And she proceeded to do so. 'Now, now! Don't fidget! 'She said. 'Just go to sleep! 'And she drew the bed-curtains tightly round him. 'There! 'She said. 'Now you can sleep! 'And she went out again. Bao-yu lay there for a long time, but he could not get to sleep. He heard the women all go off to bed, one after another, and the room grew quiet. Then, after a long while, he heard the sound of the watchman's rattle outside and the call of the night-watchman in the distance. He was still lying there wide awake when he heard the first light of dawn announced by the cawing of the crows in the garden. Then, just as he was beginning to doze off, he was startled by a sudden noise. It sounded like a loud, shrill laugh. He sat up in bed and listened. The laugh was followed by a sound of weeping. He threw off his coverlet and got out of bed. The room was still dark, but he could just make out the form of a woman in tears. It was Skybright. 'What's the matter? 'He said. 'What are you crying about? 'But she did not answer. She stood there in the darkness, weeping. Bao-yu was frightened. He did not know what to do. He stood there for a long time, frozen with fear. Then, all of a sudden, he heard a voice. It was very faint, but it seemed to be calling his name. 'Bao-yu! Bao-yu! 'It said. 'Come here! 'He followed the sound of the voice until he came to the door of his room. There he found Dai-yu. She was leaning against the doorpost, weeping. 'What's the matter? 'He said. 'What are you crying about? 'But she did not answer. She stood there in the darkness, weeping. Bao-yu was frightened. He did not know what to do. He stood there for a long time, frozen with fear. Then, all of a sudden, he heard a voice. It was very faint, but it seemed to be calling his name. 'Bao-yu! Bao-yu! 'It said. 'Come here! 'He followed the sound of the voice until he came to the door of his room. There he found Dai-yu. She was leaning against the doorpost, weeping. 'What's the matter? 'He said. 'What are you crying about? 'But she did not answer. She just went on weeping. Bao-yu was frightened. He did not know what to do. He stood there for a long time, frozen with fear. Then, all of a sudden, he heard a voice. It was very faint, but it seemed to be calling his name. 'Bao-yu! Bao-yu! 'It said. 'Come here! 'He followed the sound of the voice until he came to the door of his room. There he found Dai-yu. She was leaning against the doorpost, weeping. 'What's the matter? 'He said. 'What are you crying about? 'But she did not answer. She just went on weeping. Bao-yu was frightened. He did not know what to do. He stood there for a long time, frozen with fear. Then, all of a sudden, he heard a voice. It was very faint, but it seemed to be calling his name. 'Bao-yu! Bao-yu! 'It said. 'Come here! 'He followed the sound of the voice until he came to the door of his room. There he found Dai-yu. She was leaning against the doorpost, weeping. 'What's the matter? 'He said. 'What are you crying about? 'But she did not answer. She just went on weeping. Bao-yu was frightened. He did not know what to do. He stood there for a long time, frozen with fear. Then, all of a sudden, he heard a voice. It was very faint, but it seemed to be calling his name. 'Bao-yu! Bao-yu! 'It said. 'Come here! 'He followed the sound of the voice until he came to the door of his room. There he found Dai-yu. She was leaning against the doorpost, weeping. 'What's the matter? 'He said. 'What are you crying about? 'But she did not answer. She just went on weeping. Bao-yu was frightened. He did not know what to do. He stood there for a long time, frozen with fear. Then, all of a sudden, he heard a voice. It was very faint, but it seemed to be calling his name. 'Bao-yu! Bao-yu! 'It said. 'Come here! 'He followed the sound of the voice until he came to the door of his room. There he found Dai-yu. She was leaning against the doorpost, weeping. 'What's the matter? 'He said. 'What are you crying about? 'But she did not answer. She just went on weeping. Bao-yu was frightened. He did not know what to do. He stood there for a long time, frozen with fear. Then, all of a sudden, he heard a voice. It was very faint, but it seemed to be calling his name. 'Bao-yu! Bao-yu! 'It said. 'Come here! 'He followed the sound of the voice until he came to the door of his room. There he found Dai-yu. She was leaning against the doorpost, weeping. 'What's the matter? 'He said. 'What are you crying about? 'But she did not answer. She just went on weeping. Bao-yu was frightened. He did not know what to do. He stood there for a long time, frozen with fear. Then, all of a sudden, he heard a voice. It was very faint, but it seemed to be calling his name. 'Bao-yu! Bao-yu! 'It said. 'Come here! 'He followed the sound of the voice until he came to the door of his room. There he found Dai-yu. She was leaning against the doorpost, weeping. 'What's the matter? 'He said. 'What are you crying about? 'But she did not answer. She just went on weeping. Bao-yu was frightened. He did not know what to do. He stood there for a long time, frozen with fear. Then, all of a sudden, he heard a voice. It was very faint, but it seemed to be calling his name. 'Bao-yu! Bao-yu! 'It said. 'Come here! 'He followed the sound of the voice until he came to the door of his room. There he found Dai-yu. She was leaning against the doorpost, weeping. 'What's the matter? 'He said. 'What are you crying about? 'But she did not answer. She just went on weeping. Bao-yu was frightened. He did not know what to do. He stood there for a long time, frozen with fear. Then, all of a sudden, he heard a voice. It was very faint, but it seemed to be calling his name. 'Bao-yu! Bao-yu! 'It said. 'Come here! 'He followed the sound of the voice until he came to the door of his room. There he found Dai-yu. She was leaning against the doorpost, weeping. 'What's the matter? 'He said. 'What are you crying about? 'But she did not answer. She just went on weeping. Bao-yu was frightened. He did not know what to do. He stood there for a long time, frozen with fear. Then, all of a sudden, he heard a voice. It was very faint, but it seemed to be calling his name. 'Bao-yu! Bao-yu! 'It said. 'Come here! 'He followed the sound of the voice until he came to the door of his room. There he found Dai-yu. She was leaning against the doorpost, weeping. 'What's the matter? 'He said. 'What are you crying about? 'But she did not answer. She just went on weeping. Bao-yu was frightened. He did not know what to do. He stood there for a long time, frozen with fear. Then, all of a sudden, he heard a voice. It was very faint, but it seemed to be calling his name. 'Bao-yu! Bao-yu! 'It said. 'Come here! 'He followed the sound of the voice until he came to the door of his room. There he found Dai-yu. She was leaning against the doorpost, weeping. 'What's the matter? 'He said. 'What are you crying about? 'But she did not answer. She just went on weeping. Bao-yu was frightened. He did\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00: 2048\n", "--------------------------------------------------\n", "chinese: 周瑞家的道：“我的娘!\n", "--------------------------------------------------\n", "english: 'My dear good woman,' said the latter when they were out of earshot, 'whatever came over you?\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00: 'My mother!' said Zhou Rui's wife. 'What are you talking about? It's only a bit of fun. You're not going to die because of it. Come on! Let's go! We'll take you along with us. You can be one of the girls. No one will mind. Just for fun! Come on! We'll take you along!'' She reached out and took hold of Blossom's hand. 'Come on! Let's go! It'll be fun!'' She pulled Blossom to her feet and the two of them set off, with the other girls following after them. As they went, they sang: 'We're going to see the play, We're going to see the play!'' and 'We're going to see the show, We're going to see the show!'' and other such songs. Blossom went with them, still in a daze. She had no idea where they were taking her. She had never been outside the Garden before. She had never seen a theatre. She had never seen a play. She had never seen a man. She had never seen a woman. She had never seen a child. She had never seen a dog. She had never seen a cat. She had never seen a chicken. She had never seen a cow. She had never seen a horse. She had never seen a pig. She had never seen a sheep. She had never seen a goat. She had never seen a buffalo. She had never seen a deer. She had never seen a fox. She had never seen a bear. She had never seen a monkey. She had never seen a tiger. She had never seen a lion. She had never seen an elephant. She had never seen a camel. She had never seen a donkey. She had never seen a mule. She had never seen a weasel. She had never seen a snake. She had never seen a frog. She had never seen a toad. She had never seen a worm. She had never seen a fly. She had never seen a bee. She had never seen a butterfly. She had never seen a moth. She had never seen a spider. She had never seen a cricket. She had never seen a grasshopper. She had never seen an ant. She had never seen a flea. She had never seen a louse. She had never seen a bedbug. She had never seen a mosquito. She had never seen a gnat. She had never seen a cockroach. She had never seen a centipede. She had never seen a leech. She had never seen a snail. She had never seen a slug. She had never seen a worm. She had never seen a leech. She had never seen a maggot. She had never seen a grub. She had never seen a caterpillar. She had never seen a chrysalis. She had never seen a cocoon. She had never seen a pupa. She had never seen a larva. She had never seen a nymph. She had never seen a tadpole. She had never seen a spawn. She had never seen a foetus. She had never seen a baby. She had never seen a child. She had never seen a boy. She had never seen a girl. She had never seen a man. She had never seen a woman. She had never seen a cow. She had never seen a horse. She had never seen a buffalo. She had never seen a deer. She had never seen a fox. She had never seen a bear. She had never seen a monkey. She had never seen a tiger. She had never seen a lion. She had never seen an elephant. She had never seen a camel. She had never seen a donkey. She had never seen a mule. She had never seen a weasel. She had never seen a snake. She had never seen a frog. She had never seen a toad. She had never seen a worm. She had never seen a fly. She had never seen a bee. She had never seen a butterfly. She had never seen a moth. She had never seen a spider. She had never seen a cricket. She had never seen a grasshopper. She had never seen an ant. She had never seen a flea. She had never seen a louse. She had never seen a bedbug. She had never seen a mosquito. She had never seen a gnat. She had never seen a cockroach. She had never seen a centipede. She had never seen a leech. She had never seen a snail. She had never seen a slug. She had never seen a worm. She had never seen a leech. She had never seen a maggot. She had never seen a grub. She had never seen a caterpillar. She had never seen a chrysalis. She had never seen a cocoon. She had never seen a pupa. She had never seen a larva. She had never seen a nymph. She had never seen a tadpole. She had never seen a spawn. She had never seen a foetus. She had never seen a baby. She had never seen a child. She had never seen a boy. She had never seen a girl. She had never seen a man. She had never seen a woman. She had never seen a cow. She had never seen a horse. She had never seen a buffalo. She had never seen a deer. She had never seen a fox. She had never seen a bear. She had never seen a monkey. She had never seen a tiger. She had never seen a lion. She had never seen an elephant. She had never seen a camel. She had never seen a donkey. She had never seen a mule. She had never seen a weasel. She had never seen a snake. She had never seen a frog. She had never seen a toad. She had never seen a worm. She had never seen a fly. She had never seen a bee. She had never seen a butterfly. She had never seen a moth. She had never seen a spider. She had never seen a cricket. She had never seen a grasshopper. She had never seen an ant. She had never seen a flea. She had never seen a louse. She had never seen a bedbug. She had never seen a mosquito. She had never seen a gnat. She had never seen a cockroach. She had never seen a centipede. She had never seen a leech. She had never seen a snail. She had never seen a slug. She had never seen a worm. She had never seen a leech. She had never seen a maggot. She had never seen a grub. She had never seen a caterpillar. She had never seen a chrysalis. She had never seen a cocoon. She had never seen a pupa. She had never seen a larva. She had never seen a nymph. She had never seen a tadpole. She had never seen a spawn. She had never seen a foetus. She had never seen a baby. She had never seen a child. She had never seen a boy. She had never seen a girl. She had never seen a man. She had never seen a woman. She had never seen a cow. She had never seen a horse. She had never seen a buffalo. She had never seen a deer. She had never seen a fox. She had never seen a bear. She had never seen a monkey. She had never seen a tiger. She had never seen a lion. She had never seen an elephant. She had never seen a camel. She had never seen a donkey. She had never seen a mule. She had never seen a weasel. She had never seen a snake. She had never seen a frog. She had never seen a toad. She had never seen a worm. She had never seen a fly. She had never seen a bee. She had never seen a butterfly. She had never seen a moth. She had never seen a spider. She had never seen a cricket. She had never seen a grasshopper. She had never seen an ant. She had never seen a flea. She had never seen a louse. She had never seen a bedbug. She had never seen a mosquito. She had never seen a gnat. She had never seen a cockroach. She had never seen a centipede. She had never seen a leech. She had never seen a snail. She had never seen a slug. She had never seen a worm. She had never seen a leech. She had never seen a maggot. She had never seen a grub. She had never seen a caterpillar. She had never seen a chrysalis. She had never seen a cocoon. She had never seen a pupa. She had never seen a larva. She had never seen a nymph. She had never seen a tadpole. She had never seen a spawn. She had never seen a foetus. She had never seen a baby. She had never seen a child. She had never seen a boy. She had never seen a girl. She had never seen a man. She had never seen a woman. She had never seen a cow. She had never seen a horse. She had never seen a buffalo. She had never seen a deer. She had never seen a fox. She had never seen a bear. She had never seen a monkey. She had never seen a tiger. She had never seen a lion. She had never seen an elephant. She had never seen a camel. She had never seen a donkey. She had never seen a mule. She had never seen a weasel. She had never seen a snake. She had never seen a frog. She had never seen a toad. She\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00: 2048\n", "--------------------------------------------------\n", "chinese: 周瑞家的听了，便已猜着几分来意。 只因他丈夫昔年争买田地一事，多得狗儿他父亲之力，今见刘姥姥如此，心中难却其意；二则也要显弄自己的体面。 便笑说：“老老你放心。\n", "--------------------------------------------------\n", "english: From the tone of this reply Zhou Rui's wife was already able to make a pretty good guess as to the real purpose of the old woman's visit; but because some years previously her husband had received a lot of help from Gou-er's father in a dispute over the purchase of some land, she could not very well reject Grannie Liu now, when she came to her as a suppliant. She was, in any case, anxious to demonstrate her own importance in the Jia household; and so the answer she gave her was a gracious one. 'Don't you worry, Grannie!\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00: Zhou Rui's wife had by now a shrewd idea of what was in the old lady's mind. Her husband had, in the old days, been helped by Gou-er's father in his lawsuits over the purchase of land, and she felt that she could not refuse the old lady's request. Besides, she wanted to show off in front of her. So she smiled and said: 'Now, now, Grannie, don't you go worrying! We'll do all we can to help. 'Tis our duty. 'Tis what we ought to do. 'Tis what we want to do. 'Tis what we will do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 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'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do. 'Tis what we shall do\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00: 2048\n", "--------------------------------------------------\n", "chinese: 老子就吃过。”\n", "--------------------------------------------------\n", "english: Do try some, it's delicious!'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00: I've had my supper.' 'Old Colour, you're a liar. You haven't had supper yet.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 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'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' 'I have.' 'You haven't.' '\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00: 2048\n", "--------------------------------------------------\n", "chinese: 宝玉笑道：“给你个榧子吃呢!\n", "--------------------------------------------------\n", "english: Bao-yu laughed and snapped his fingers at her: 'Put that on your tongue, girl!\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00: 'I'll give you a button!' said Bao-yu, laughing. 'Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! 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Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here! Here\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00: 2048\n", "--------------------------------------------------\n", "chinese: 韦小宝暗暗叫苦：“原来做太监要净身，那就是割去小便的东西。\n", "--------------------------------------------------\n", "english: Trinket was horrified. 'So that's what being 'purified' means: having your piss-pipe and the other bits cut off.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00: Trinket groaned inwardly. So that was what they meant by 'purification'! It meant cutting off your prick! He had heard of it, of course, but never imagined that it could happen to him. 'No, no, no! I'd rather die! I'd rather die! I'd rather die! he muttered to himself, over and over again. 'I'd rather die! I'd rather die! I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 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'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather die! 'I'd rather\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00: 2048\n", "--------------------------------------------------\n", "chinese: 将她抱起，坐在椅上，说道：“你瞧着，我在你身上各个部位指点，倘若指得对的，你就眨三下眼睛，指得不对，眼睛睁得大大的，一动也不能动。\n", "--------------------------------------------------\n", "english: He lifted her up in his arms and sat her down in a chair. 'Now look,' he said, 'I'm going to start pointing to places on your body. If I point to the right place, blink three times; if it isn't right, just keep your eyes open and don't move.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00: He lifted her up and sat her in a chair. 'Now, I'm going to point to different parts of your body. If I point to the right place, you blink your eyes three times; if I don't, you keep them wide open and perfectly still. Understand? Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00: 2048\n", "--------------------------------------------------\n", "chinese: 韦小宝大喜，来不及装饭，夹起一块红烧肉便吃，虽然菜肴早已冷了，吞入饥肠，却是说不出的美味，心想：“这些饭菜不知是谁送来的。\n", "--------------------------------------------------\n", "english: Trinket was delighted, and without bothering to fill his bowl with rice, he attacked a dish of stewed meat. The food was cold, but he was hungry, and to him it was indescribably delicious. 'I wonder where they get the food from?\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00: Trinket was so pleased that he did not even bother to serve himself a plateful, but simply picked up a piece of the cold meat in his fingers and popped it into his mouth. It was delicious. 'I wonder who sent this,' he thought. 'It's very nice of them. 'Then he remembered that he had asked Whiskers to get him some food. 'It must have been Whiskers,' he thought. 'I hope he didn't steal it. 'But then he thought of something else. 'I hope he didn't go to the Helmsman's place. 'He was just starting to worry about this, when there was a knock at the door. 'Come in!' he said. 'It's me, Whiskers,' said the voice outside. 'I've brought you some pickles. 'Trinket's heart sank. 'Oh, it's you,' he said. 'Come in, then. 'Whiskers came in and closed the door behind him. 'I hope you like them,' he said. 'I got them from the Helmsman's. 'Trinket's heart sank even further. 'What were you doing at the Helmsman's?' he asked. 'I went to ask for some food for you,' said Whiskers. 'I told them you were ill. 'Trinket's heart was now in his boots. 'What did they say?' he asked. 'They said they'd heard you were ill,' said Whiskers, 'and they sent you their best wishes for your recovery. 'Trinket's heart was now in his boots. 'What did they say?' he asked. 'They said they'd heard you were ill,' said Whiskers, 'and they sent you their best wishes for your recovery. 'Trinket's heart sank. 'Oh, it's you,' he said. 'Come in, then. 'Whiskers came in and closed the door behind him. 'I hope you like them,' he said. 'I got them from the Helmsman's. 'Trinket's heart sank even further. 'What were you doing at the Helmsman's?' he asked. 'I went to ask for some food for you,' said Whiskers. 'I told them you were ill. 'Trinket's heart was now in his boots. 'What did they say?' he asked. 'They said they'd heard you were ill,' said Whiskers, 'and they sent you their best wishes for your recovery. 'Trinket's heart sank. 'Oh, it's you,' he said. 'Come in, then. 'Whiskers came in and closed the door behind him. 'I hope you like them,' he said. 'I got them from the Helmsman's. 'Trinket's heart sank even further. 'What were you doing at the Helmsman's?' he asked. 'I went to ask for some food for you,' said Whiskers. 'I told them you were ill. 'Trinket's heart was now in his boots. 'What did they say?' he asked. 'They said they'd heard you were ill,' said Whiskers, 'and they sent you their best wishes for your recovery. 'Trinket's heart sank. 'Oh, it's you,' he said. 'Come in, then. 'Whiskers came in and closed the door behind him. 'I hope you like them,' he said. 'I got them from the Helmsman's. 'Trinket's heart sank even further. 'What were you doing at the Helmsman's?' he asked. 'I went to ask for some food for you,' said Whiskers. 'I told them you were ill. 'Trinket's heart was now in his boots. 'What did they say?' he asked. 'They said they'd heard you were ill,' said Whiskers, 'and they sent you their best wishes for your recovery. 'Trinket's heart sank. 'Oh, it's you,' he said. 'Come in, then. 'Whiskers came in and closed the door behind him. 'I hope you like them,' he said. 'I got them from the Helmsman's. 'Trinket's heart sank even further. 'What were you doing at the Helmsman's?' he asked. 'I went to ask for some food for you,' said Whiskers. 'I told them you were ill. 'Trinket's heart was now in his boots. 'What did they say?' he asked. 'They said they'd heard you were ill,' said Whiskers, 'and they sent you their best wishes for your recovery. 'Trinket's heart sank. 'Oh, it's you,' he said. 'Come in, then. 'Whiskers came in and closed the door behind him. 'I hope you like them,' he said. 'I got them from the Helmsman's. 'Trinket's heart sank even further. 'What were you doing at the Helmsman's?' he asked. 'I went to ask for some food for you,' said Whiskers. 'I told them you were ill. 'Trinket's heart was now in his boots. 'What did they say?' he asked. 'They said they'd heard you were ill,' said Whiskers, 'and they sent you their best wishes for your recovery. 'Trinket's heart sank. 'Oh, it's you,' he said. 'Come in, then. 'Whiskers came in and closed the door behind him. 'I hope you like them,' he said. 'I got them from the Helmsman's. 'Trinket's heart sank even further. 'What were you doing at the Helmsman's?' he asked. 'I went to ask for some food for you,' said Whiskers. 'I told them you were ill. 'Trinket's heart was now in his boots. 'What did they say?' he asked. 'They said they'd heard you were ill,' said Whiskers, 'and they sent you their best wishes for your recovery. 'Trinket's heart sank. 'Oh, it's you,' he said. 'Come in, then. 'Whiskers came in and closed the door behind him. 'I hope you like them,' he said. 'I got them from the Helmsman's. 'Trinket's heart sank even further. 'What were you doing at the Helmsman's?' he asked. 'I went to ask for some food for you,' said Whiskers. 'I told them you were ill. 'Trinket's heart was now in his boots. 'What did they say?' he asked. 'They said they'd heard you were ill,' said Whiskers, 'and they sent you their best wishes for your recovery. 'Trinket's heart sank. 'Oh, it's you,' he said. 'Come in, then. 'Whiskers came in and closed the door behind him. 'I hope you like them,' he said. 'I got them from the Helmsman's. 'Trinket's heart sank even further. 'What were you doing at the Helmsman's?' he asked. 'I went to ask for some food for you,' said Whiskers. 'I told them you were ill. 'Trinket's heart was now in his boots. 'What did they say?' he asked. 'They said they'd heard you were ill,' said Whiskers, 'and they sent you their best wishes for your recovery. 'Trinket's heart sank. 'Oh, it's you,' he said. 'Come in, then. 'Whiskers came in and closed the door behind him. 'I hope you like them,' he said. 'I got them from the Helmsman's. 'Trinket's heart sank even further. 'What were you doing at the Helmsman's?' he asked. 'I went to ask for some food for you,' said Whiskers. 'I told them you were ill. 'Trinket's heart was now in his boots. 'What did they say?' he asked. 'They said they'd heard you were ill,' said Whiskers, 'and they sent you their best wishes for your recovery. 'Trinket's heart sank. 'Oh, it's you,' he said. 'Come in, then. 'Whiskers came in and closed the door behind him. 'I hope you like them,' he said. 'I got them from the Helmsman's. 'Trinket's heart sank even further. 'What were you doing at the Helmsman's?' he asked. 'I went to ask for some food for you,' said Whiskers. 'I told them you were ill. 'Trinket's heart was now in his boots. 'What did they say?' he asked. 'They said they'd heard you were ill,' said Whiskers, 'and they sent you their best wishes for your recovery. 'Trinket's heart sank. 'Oh, it's you,' he said. 'Come in, then. 'Whiskers came in and closed the door behind him. 'I hope you like them,' he said. 'I got them from the Helmsman's. 'Trinket's heart sank even further. 'What were you doing at the Helmsman's?' he asked. 'I went to ask for some food for you,' said Whiskers. 'I told them you were ill. 'Trinket's heart was now in his boots. 'What did they\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00: 2048\n", "--------------------------------------------------\n", "chinese: 顾炎武举起酒杯，高声吟道：\n", "--------------------------------------------------\n", "english: Gu Yanwu raised his wine-cup and, in ringing tones, recited the following couplet:\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00: Gu Yanwu raised his cup and recited in a loud voice: 'When a man's heart is sore, 'Tis wine that he desires. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 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'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. 'Tis wine that he desires, And drinking is the cure for sorrow. '\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00: 2048\n", "--------------------------------------------------\n", "chinese: 凤姐道：“正是呢。\n", "--------------------------------------------------\n", "english: 'Yes, indeed!' said Xi-feng.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00: 'That's it,' said Xi-feng. 'That's what I meant. 'Tis the season of the falling leaves. The trees are bare. The flowers are all gone. It is a time of decay and death. 'Tis the very image of human life. 'Tis a season of decline and fall. 'Tis the time of year when the grasshopper's wing is bare. 'Tis the time of year when the tree can be mistaken for a withered stick. 'Tis the time of year when the man is like the tree. 'Tis the time of year when the tree is like the man. 'Tis the time of year when the tree and the man are alike. 'Tis the time of year when the tree and the man are one. 'Tis the time of year when the tree and the man are the same. 'Tis the time of year when the tree and the man are indistinguishable. 'Tis the time of year when the tree and the man are as one. 'Tis the time of year when the tree and the man are one and the same. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the man are the same thing. 'Tis the time of year when the tree and the\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00: 2048\n", "--------------------------------------------------\n", "chinese: 海老公摇头道：“好什么？\n", "--------------------------------------------------\n", "english: 'Better?' said the old eunuch shaking his head.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00: 'What's good about it? said the old eunuch, shaking his head. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business. 'It's a rotten business.\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00: 2048\n", "\n", "*** Found 1 rows with incomplete translations for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00\n", "--------------------------------------------------\n", "chinese: 将她抱起，坐在椅上，说道：“你瞧着，我在你身上各个部位指点，倘若指得对的，你就眨三下眼睛，指得不对，眼睛睁得大大的，一动也不能动。\n", "--------------------------------------------------\n", "english: He lifted her up in his arms and sat her down in a chair. 'Now look,' he said, 'I'm going to start pointing to places on your body. If I point to the right place, blink three times; if it isn't right, just keep your eyes open and don't move.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00: He lifted her up and sat her in a chair. 'Now, I'm going to point to different parts of your body. If I point to the right place, you blink your eyes three times; if I don't, you keep them wide open and perfectly still. Understand? Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上，说道：'我现在要指你身上的各个部位，你要是觉得我指对了，就眨三下眼睛；要是觉得我指不对，就把眼睛睁得大大的，一动也不要动。明白了吗？ Chinese: 把她抱起来放在椅子上\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00: 1\n", "### Analyzing: shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.02\n", "*** Found 15 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.02\n", "因问贾环：“你输了多少钱？”\n", "================================================================================\n", "How much did you lose?'\n", "================================================================================\n", " He turned to Jia Huan. 'How much did you lose?' he asked. 'I lost a hundred cash,' said Jia Huan. 'That's nothing!' said Dai-ru. 'I lost a thousand.' 'Well, I lost two thousand,' said Jia Qiang. 'And I three thousand,' said Jia Yun. 'I lost ten times that amount,' said Dai-ru. 'I lost thirty thousand cash.' 'Well, I lost a hundred thousand,' said Jia Qiang. 'I lost a million,' said Jia Yun. 'I lost ten million,' said Dai-ru. 'I lost a hundred million,' said Jia Qiang. 'I lost ten times that amount,' said Jia Yun. 'I lost a thousand million,' said Dai-ru. 'I lost ten thousand million,' said Jia Qiang. 'I lost a hundred thousand million,' said Jia Yun. 'I lost ten times that amount,' said Dai-ru. 'I lost a thousand thousand million,' said Jia Qiang. 'I lost ten thousand thousand million,' said Jia Yun. 'I lost a hundred thousand thousand million,' said Dai-ru. 'I lost ten times that amount,' said Jia Qiang. 'I lost a thousand thousand thousand million,' said Jia Yun. 'I lost ten thousand thousand thousand million,' said Dai-ru. 'I lost a hundred thousand thousand thousand million,' said Jia Qiang. 'I lost ten times that amount,' said Jia Yun. 'I lost a thousand thousand thousand thousand million,' said Dai-ru. 'I lost ten thousand thousand thousand thousand million,' said Jia Qiang. 'I lost a hundred thousand thousand thousand thousand million,' said Jia Yun. 'I lost ten times that amount,' said Dai-ru. 'I lost a thousand thousand thousand thousand thousand million,' said Jia Qiang. 'I lost ten thousand thousand thousand thousand thousand million,' said Jia Yun. 'I lost a hundred thousand thousand thousand thousand thousand million,' said Dai-ru. 'I lost ten times that amount,' said Jia Qiang. 'I lost a thousand thousand thousand thousand thousand thousand million,' said Jia Yun. 'I lost ten thousand thousand thousand thousand thousand thousand million,' said Dai-ru. 'I lost a hundred thousand thousand thousand thousand thousand thousand million,' said Jia Qiang. 'I lost ten times that amount,' said Jia Yun. 'I lost a thousand thousand thousand thousand thousand thousand thousand million,' said Dai-ru. 'I lost ten thousand thousand thousand thousand thousand thousand thousand million,' said Jia Qiang. 'I lost a hundred thousand thousand thousand thousand thousand thousand thousand million,' said Jia Yun. 'I lost ten times that amount,' said Dai-ru. 'I lost a thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Qiang. 'I lost ten thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Yun. 'I lost a hundred thousand thousand thousand thousand thousand thousand thousand thousand million,' said Dai-ru. 'I lost ten times that amount,' said Jia Qiang. 'I lost a thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Yun. 'I lost ten thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Dai-ru. 'I lost a hundred thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Qiang. 'I lost ten times that amount,' said Jia Yun. 'I lost a thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Dai-ru. 'I lost ten thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Qiang. 'I lost a hundred thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Yun. 'I lost ten times that amount,' said Dai-ru. 'I lost a thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Qiang. 'I lost ten thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Yun. 'I lost a hundred thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Dai-ru. 'I lost ten times that amount,' said Jia Qiang. 'I lost a thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Yun. 'I lost ten thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Dai-ru. 'I lost a hundred thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Qiang. 'I lost ten times that amount,' said Jia Yun. 'I lost a thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Dai-ru. 'I lost ten thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Qiang. 'I lost a hundred thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Yun. 'I lost ten times that amount,' said Dai-ru. 'I lost a thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Qiang. 'I lost ten thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Yun. 'I lost a hundred thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Dai-ru. 'I lost ten times that amount,' said Jia Qiang. 'I lost a thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Yun. 'I lost ten thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Dai-ru. 'I lost a hundred thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Qiang. 'I lost ten times that amount,' said Jia Yun. 'I lost a thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Dai-ru. 'I lost ten thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Qiang. 'I lost a hundred thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Yun. 'I lost ten times that amount,' said Dai-ru. 'I lost a thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Qiang. 'I lost ten thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Yun. 'I lost a hundred thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Dai-ru. 'I lost ten times that amount,' said Jia Qiang. 'I lost a thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Yun. 'I lost ten thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Dai-ru. 'I lost a hundred thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Qiang. 'I lost ten times that amount,' said Jia Yun. 'I lost a thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Dai-ru. 'I lost ten thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Qiang. 'I lost a hundred thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Yun. 'I lost ten times that amount,' said Dai-ru. 'I lost a thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Qiang. 'I lost ten thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Yun. 'I lost a hundred thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Dai-ru. 'I lost ten times that amount,' said Jia Qiang. 'I lost a thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Yun. 'I lost ten thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Dai-ru. 'I lost a hundred thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Qiang. 'I lost ten times that amount,' said Jia Yun. 'I lost a thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Dai-ru. 'I lost ten thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Qiang. 'I lost a hundred thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Yun. 'I lost ten times that amount,' said Dai-ru. 'I lost a thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Qiang. 'I lost ten thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Yun. 'I\n", "================================================================================\n", "----detect non-word characters repetition----\n", "----detect text repetitions----\n", "\n", "Group 1 found at 714-723: ` thousand`\n", "\n", "Group 1 found at 770-779: ` thousand`\n", "\n", "Group 1 found at 829-838: `d thousan`\n", "\n", "Group 1 found at 929-938: ` thousand`\n", "\n", "Group 1 found at 992-1001: ` thousand`\n", "\n", "Group 1 found at 1059-1068: `d thousan`\n", "\n", "Group 1 found at 1169-1178: ` thousand`\n", "\n", "Group 1 found at 1240-1249: ` thousand`\n", "\n", "Group 1 found at 1319-1328: `d thousan`\n", "\n", "Group 1 found at 1435-1444: ` thousand`\n", "\n", "Group 1 found at 1518-1527: ` thousand`\n", "\n", "Group 1 found at 1604-1613: `d thousan`\n", "\n", "Group 1 found at 1821-1830: ` thousand`\n", "\n", "Group 1 found at 2052-2061: ` thousand`\n", "\n", "Group 1 found at 2256-2265: `d thousan`\n", "\n", "Group 1 found at 2509-2518: ` thousand`\n", "\n", "Group 1 found at 2776-2785: ` thousand`\n", "\n", "Group 1 found at 3014-3023: `d thousan`\n", "\n", "Group 1 found at 3303-3312: ` thousand`\n", "\n", "Group 1 found at 3606-3615: ` thousand`\n", "\n", "Group 1 found at 3883-3892: `d thousan`\n", "\n", "Group 1 found at 4208-4217: ` thousand`\n", "\n", "Group 1 found at 4547-4556: ` thousand`\n", "\n", "Group 1 found at 4859-4868: `d thousan`\n", "\n", "Group 1 found at 5220-5229: ` thousand`\n", "\n", "Group 1 found at 5595-5604: ` thousand`\n", "\n", "Group 1 found at 5941-5950: `d thousan`\n", "\n", "Group 1 found at 6338-6347: ` thousand`\n", "\n", "Group 1 found at 6749-6758: ` thousand`\n", "\n", "Group 1 found at 7134-7143: `d thousan`\n", "\n", "Group 1 found at 7567-7576: ` thousand`\n", "\n", "Group 1 found at 8014-8023: ` thousand`\n", "\n", "Group 1 found at 8434-8443: `d thousan`\n", "\n", "Group 1 found at 8903-8912: ` thousand`\n", "\n", "Group 1 found at 9386-9395: ` thousand`\n", "\n", "Group 1 found at 9840-9849: `d thousan`\n", "\n", "Group 1 found at 10345-10354: ` thousand`\n", "\n", "Group 1 found at 10864-10873: ` thousand`\n", "\n", "Group 1 found at 206-257: `'he said. 'I promise never to do anything bad again`\n", "(0, 7384, 7384)\n", "海老公道：“哼，掀住肩头有什么用？\n", "================================================================================\n", "'That's no good!\n", "================================================================================\n", " 'Humph! What's the sense in carrying it on your shoulder? he said. 'You'd better let me take it. I'll put it in my basket. It'll be safer there. Come on, hand it over! And don't go thinking you can hide it from me, because I know all about it. I've seen it. I know what it is. It's a bit of the sacred mountain. You've been up to the sacred mountain and you've brought a bit of it back with you. Well, you'd better let me take charge of it. I'll look after it for you. Come on, hand it over! 'The old eunuch held out his hand. Trinket hesitated for a moment, then took the object from under his arm and handed it over. The old eunuch took it and put it in his basket. 'Now, that's better,'he said. 'Now we can go. 'And he set off once more along the path. Trinket followed him, wondering what he was going to do with the bit of sacred mountain. But he had no wish to ask him. He was just relieved that the old eunuch had taken it off him. He was afraid that if he kept it, he might get into trouble. The old eunuch might tell someone about it. But now that he had given it to him, he felt safe. The old eunuch would look after it for him. He would keep it safe. 'I wonder where we're going,'he thought. 'I hope it's somewhere nice. 'But he had no wish to ask the old eunuch. He was afraid of him. He was afraid that he might get angry with him. So he followed him in silence. They walked for a long time. Then they came to a large house. It was surrounded by a high wall. The old eunuch went through the gate and Trinket followed him. Inside the house it was very quiet. There was no one about. The old eunuch went into one of the rooms and Trinket followed him. It was a very nice room. There were carpets on the floor and curtains at the windows. There was a table in the room and two chairs. The old eunuch sat down in one of the chairs and Trinket sat down in the other. The old eunuch took the bit of sacred mountain out of his basket and put it on the table. 'This is a very precious thing,'he said. 'It is a bit of the sacred mountain. You have done very well to bring it here. 'Trinket did not know what to say. He was very surprised. He had not expected the old eunuch to say that. 'I'm glad you like it,'he said. 'I hope you will keep it safe. 'The old eunuch nodded. 'I will keep it safe,'he said. 'I will look after it. 'Trinket was very relieved. He was glad that the old eunuch had taken the bit of sacred mountain. He was afraid that if he kept it, he might get into trouble. But now that he had given it to the old eunuch, he felt safe. The old eunuch would look after it for him. He would keep it safe. 'I wonder what the old eunuch wants it for,'he thought. 'I hope he doesn't want it for anything bad. 'But he had no wish to ask him. He was afraid of him. He was afraid that he might get angry with him. So he sat in silence. The old eunuch sat in silence too. They sat in silence for a long time. Then the old eunuch spoke. 'I have something to tell you,'he said. 'What is it?' said Trinket. 'I want you to stay here with me,'said the old eunuch. 'I want you to be my little friend. 'Trinket was very surprised. He had not expected the old eunuch to say that. 'I would like that,'he said. 'I would like to be your little friend. 'The old eunuch smiled. 'Good,'he said. 'Then it's settled. You will stay here with me. You will be my little friend. 'Trinket nodded. He was very happy. He was glad that the old eunuch wanted him to stay with him. He was glad that he could be his little friend. He was very happy. 'I wonder what it will be like,'he thought. 'I hope it will be nice. 'But he had no wish to ask the old eunuch. He was afraid of him. He was afraid that he might get angry with him. So he sat in silence. The old eunuch sat in silence too. They sat in silence for a long time. Then the old eunuch spoke. 'I have something to tell you,'he said. 'What is it?' said Trinket. 'I want you to call me 'Papa'','said the old eunuch. 'I want you to call me 'Papa'' from now on. 'Trinket was very surprised. He had not expected the old eunuch to say that. 'Yes, Papa,'he said. 'I will call you 'Papa''. 'The old eunuch smiled. 'Good,'he said. 'Then it's settled. You will call me 'Papa'' from now on. 'Trinket nodded. He was very happy. He was glad that the old eunuch wanted him to call him 'Papa'. He was glad that he could call him 'Papa'. He was very happy. 'I wonder what it will be like,'he thought. 'I hope it will be nice. 'But he had no wish to ask the old eunuch. He was afraid of him. He was afraid that he might get angry with him. So he sat in silence. The old eunuch sat in silence too. They sat in silence for a long time. Then the old eunuch spoke. 'I have something to tell you,'he said. 'What is it?' said Trinket. 'I want you to stay here with me always,'said the old eunuch. 'I want you to be my little friend always. 'Trinket was very surprised. He had not expected the old eunuch to say that. 'I would like that,'he said. 'I would like to be your little friend always. 'The old eunuch smiled. 'Good,'he said. 'Then it's settled. You will stay here with me always. You will be my little friend always. 'Trinket nodded. He was very happy. He was glad that the old eunuch wanted him to stay with him always. He was glad that he could be his little friend always. He was very happy. 'I wonder what it will be like,'he thought. 'I hope it will be nice. 'But he had no wish to ask the old eunuch. He was afraid of him. He was afraid that he might get angry with him. So he sat in silence. The old eunuch sat in silence too. They sat in silence for a long time. Then the old eunuch spoke. 'I have something to tell you,'he said. 'What is it?' said Trinket. 'I want you to stay here with me always,'said the old eunuch. 'I want you to be my little friend always. 'Trinket was very surprised. He had not expected the old eunuch to say that. 'I would like that,'he said. 'I would like to be your little friend always. 'The old eunuch smiled. 'Good,'he said. 'Then it's settled. You will stay here with me always. You will be my little friend always. 'Trinket nodded. He was very happy. He was glad that the old eunuch wanted him to stay with him always. He was glad that he could be his little friend always. He was very happy. 'I wonder what it will be like,'he thought. 'I hope it will be nice. 'But he had no wish to ask the old eunuch. He was afraid of him. He was afraid that he might get angry with him. So he sat in silence. The old eunuch sat in silence too. They sat in silence for a long time. Then the old eunuch spoke. 'I have something to tell you,'he said. 'What is it?' said Trinket. 'I want you to stay here with me always,'said the old eunuch. 'I want you to be my little friend always. 'Trinket was very surprised. He had not expected the old eunuch to say that. 'I would like that,'he said. 'I would like to be your little friend always. 'The old eunuch smiled. 'Good,'he said. 'Then it's settled. You will stay here with me always. You will be my little friend always. 'Trinket nodded. He was very happy. He was glad that the old eunuch wanted him to stay with him always. He was glad that he could be his little friend always. He was very happy. 'I wonder what it will be like,'he thought. 'I hope it will be nice. 'But he had no wish to ask the old eunuch. He was afraid of him. He was afraid that he might get angry\n", "================================================================================\n", "----detect non-word characters repetition----\n", "removed non-word characters repetition: 4\n", "----detect text repetitions----\n", "\n", "Group 1 found at 4358-5297: `. He was very happy. 'I wonder what it will be like,'he thought. 'I hope it will be nice. 'But he had no wish to ask the old eunuch. He was afraid of him. He was afraid that he might get angry with him. So he sat in silence. The old eunuch sat in silence too. They sat in silence for a long time. Then the old eunuch spoke. 'I have something to tell you,'he said. 'What is it?' said Trinket. 'I want you to stay here with me always,'said the old eunuch. 'I want you to be my little friend always. 'Trinket was very surprised. He had not expected the old eunuch to say that. 'I would like that,'he said. 'I would like to be your little friend always. 'The old eunuch smiled. 'Good,'he said. 'Then it's settled. You will stay here with me always. You will be my little friend always. 'Trinket nodded. He was very happy. He was glad that the old eunuch wanted him to stay with him always. He was glad that he could be his little friend always`\n", "(4, 1878, 1882)\n", "石头听了大喜，因问：“不知可镌何字?\n", "================================================================================\n", "The stone was delighted. 'What words will you cut?\n", "================================================================================\n", " Hearing this, the stone was overjoyed and asked, 'What words are you going to carve on me?''The Magic Stone Vanishes', he said. 'Why 'The Magic Stone Vanishes'?' said the stone. 'Because you are going to vanish soon,'said the monk. 'But where am I going to?' said the stone. 'Never mind,'said the monk. 'You'll find out soon enough.'Then he carved the words 'The Magic Stone Vanishes' on one side of the stone, and on the other, 'The Magic Stone Reappears'. 'What are you doing that for?' said the stone. 'I'm doing it because you are going to reappear presently,'said the monk. 'But where am I going to reappear?' said the stone. 'Never mind,'said the monk. 'You'll find out presently.'Then he carved the words 'The Magic Stone Reappears' on the other side of the stone. 'What are you doing that for?' said the stone. 'I'm doing it because you are going to reappear presently,'said the monk. 'But where am I going to reappear?' said the stone. 'Never mind,'said the monk. 'You'll find out presently.'Then he carved the words 'The Magic Stone Reappears' on the other side of the stone. 'What are you doing that for?' said the stone. 'I'm doing it because you are going to reappear presently,'said the monk. 'But where am I going to reappear?' said the stone. 'Never mind,'said the monk. 'You'll find out presently.'Then he carved the words 'The Magic Stone Reappears' on the other side of the stone. 'What are you doing that for?' said the stone. 'I'm doing it because you are going to reappear presently,'said the monk. 'But where am I going to reappear?' said the stone. 'Never mind,'said the monk. 'You'll find out presently.'Then he carved the words 'The Magic Stone Reappears' on the other side of the stone. 'What are you doing that for?' said the stone. 'I'm doing it because you are going to reappear presently,'said the monk. 'But where am I going to reappear?' said the stone. 'Never mind,'said the monk. 'You'll find out presently.'Then he carved the words 'The Magic Stone Reappears' on the other side of the stone. 'What are you doing that for?' said the stone. 'I'm doing it because you are going to reappear presently,'said the monk. 'But where am I going to reappear?' said the stone. 'Never mind,'said the monk. 'You'll find out presently.'Then he carved the words 'The Magic Stone Reappears' on the other side of the stone. 'What are you doing that for?' said the stone. 'I'm doing it because you are going to reappear presently,'said the monk. 'But where am I going to reappear?' said the stone. 'Never mind,'said the monk. 'You'll find out presently.'Then he carved the words 'The Magic Stone Reappears' on the other side of the stone. 'What are you doing that for?' said the stone. 'I'm doing it because you are going to reappear presently,'said the monk. 'But where am I going to reappear?' said the stone. 'Never mind,'said the monk. 'You'll find out presently.'Then he carved the words 'The Magic Stone Reappears' on the other side of the stone. 'What are you doing that for?' said the stone. 'I'm doing it because you are going to reappear presently,'said the monk. 'But where am I going to reappear?' said the stone. 'Never mind,'said the monk. 'You'll find out presently.'Then he carved the words 'The Magic Stone Reappears' on the other side of the stone. 'What are you doing that for?' said the stone. 'I'm doing it because you are going to reappear presently,'said the monk. 'But where am I going to reappear?' said the stone. 'Never mind,'said the monk. 'You'll find out presently.'Then he carved the words 'The Magic Stone Reappears' on the other side of the stone. 'What are you doing that for?' said the stone. 'I'm doing it because you are going to reappear presently,'said the monk. 'But where am I going to reappear?' said the stone. 'Never mind,'said the monk. 'You'll find out presently.'Then he carved the words 'The Magic Stone Reappears' on the other side of the stone. 'What are you doing that for?' said the stone. 'I'm doing it because you are going to reappear presently,'said the monk. 'But where am I going to reappear?' said the stone. 'Never mind,'said the monk. 'You'll find out presently.'Then he carved the words 'The Magic Stone Reappears' on the other side of the stone. 'What are you doing that for?' said the stone. 'I'm doing it because you are going to reappear presently,'said the monk. 'But where am I going to reappear?' said the stone. 'Never mind,'said the monk. 'You'll find out presently.'Then he carved the words 'The Magic Stone Reappears' on the other side of the stone. 'What are you doing that for?' said the stone. 'I'm doing it because you are going to reappear presently,'said the monk. 'But where am I going to reappear?' said the stone. 'Never mind,'said the monk. 'You'll find out presently.'Then he carved the words 'The Magic Stone Reappears' on the other side of the stone. 'What are you doing that for?' said the stone. 'I'm doing it because you are going to reappear presently,'said the monk. 'But where am I going to reappear?' said the stone. 'Never mind,'said the monk. 'You'll find out presently.'Then he carved the words 'The Magic Stone Reappears' on the other side of the stone. 'What are you doing that for?' said the stone. 'I'm doing it because you are going to reappear presently,'said the monk. 'But where am I going to reappear?' said the stone. 'Never mind,'said the monk. 'You'll find out presently.'Then he carved the words 'The Magic Stone Reappears' on the other side of the stone. 'What are you doing that for?' said the stone. 'I'm doing it because you are going to reappear presently,'said the monk. 'But where am I going to reappear?' said the stone. 'Never mind,'said the monk. 'You'll find out presently.'Then he carved the words 'The Magic Stone Reappears' on the other side of the stone. 'What are you doing that for?' said the stone. 'I'm doing it because you are going to reappear presently,'said the monk. 'But where am I going to reappear?' said the stone. 'Never mind,'said the monk. 'You'll find out presently.'Then he carved the words 'The Magic Stone Reappears' on the other side of the stone. 'What are you doing that for?' said the stone. 'I'm doing it because you are going to reappear presently,'said the monk. 'But where am I going to reappear?' said the stone. 'Never mind,'said the monk. 'You'll find out presently.'Then he carved the words 'The Magic Stone Reappears' on the other side of the stone. 'What are you doing that for?' said the stone. 'I'm doing it because you are going to reappear presently,'said the monk. 'But where am I going to reappear?' said the stone. 'Never mind,'said the monk. 'You'll find out presently.'Then he carved the words 'The Magic Stone Reappears' on the other side of the stone. 'What are you doing that for?' said the stone. 'I'm doing it because you are going to reappear presently,'said the monk. 'But where am I going to reappear?' said the stone. 'Never mind,'said the monk. 'You'll find out presently.'Then he carved the words 'The Magic Stone Reappears' on the other side of the stone. 'What are you doing that for?' said the stone. 'I'm doing it because you are going to reappear presently,'said the monk. 'But where am I going to reappear?' said the stone. 'Never mind,'said the monk. 'You'll find out presently.'Then he carved the words 'The Magic Stone Reappears' on the other side of the stone. 'What are you doing that for?' said the stone. 'I'm doing it because you are going to reappear presently,'said the monk. 'But where am I going to reappear?' said the stone. 'Never mind,'said the monk. 'You'll find out presently.'Then he carved the words 'The Magic Stone Reappears' on the other side of the stone. 'What are you doing that for?' said the stone. 'I'm\n", "================================================================================\n", "----detect non-word characters repetition----\n", "----detect text repetitions----\n", "\n", "Group 1 found at 457-771: `. 'What are you doing that for?' said the stone. 'I'm doing it because you are going to reappear presently,'said the monk. 'But where am I going to reappear?' said the stone. 'Never mind,'said the monk. 'You'll find out presently.'Then he carved the words 'The Magic Stone Reappears' on the other side of the stone`\n", "(0, 6908, 6908)\n", "只篦了三五下儿，见晴雯忙忙走进来取钱，一见他两个，便冷笑道：“哦!\n", "================================================================================\n", "But he had not drawn it more than four or five times through her hair, when Skybright came bursting in to get some more money. Seeing the two of them together, she smiled sarcastically: 'Fancy!\n", "================================================================================\n", " He had barely done half-a-dozen strokes when Skybright came hurrying in to fetch her money. Seeing the two of them there, she gave them a frosty smile. 'Ah! I see! So this is where you've got to! I've been looking all over for you. 'Tis a lucky thing I've found you. I was beginning to think that you had both of you gone off together somewhere. 'Tis a good thing I can trust you! 'Tis a good thing I know that you are both of you perfectly capable of looking after yourselves! 'Tis a good thing—' She was about to say more, but Dai-yu interrupted her. 'Skybright, what's wrong? What are you so upset about? 'It's you!' said Skybright. 'I'm upset about you! I'm upset because I can trust you and you can look after yourself. 'If you can look after yourself, why do you need me to look after you? 'If you don't need me to look after you, why do you want me to stay with you? 'If you want me to stay with you, why do you go off with other people? 'If you go off with other people, why do you want me to stay with you? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with\n", "================================================================================\n", "----detect non-word characters repetition----\n", "----detect text repetitions----\n", "\n", "Group 1 found at 1015-1086: `? 'If you want me to stay with you, why do you go off with other people`\n", "(0, 6532, 6532)\n", "蕊初道：“花园里有大海龟吗？\n", "================================================================================\n", "'I didn't know there were any in the Palace,' said Blossom.\n", "================================================================================\n", " 'Are there turtles in the garden?' Blossom asked. 'Yes,'said Nightingale. 'There are. In the pond.''I've never seen any,'said Blossom. 'I expect they hide themselves,'said Nightingale. 'They're very timid.''I'd love to see one,'said Blossom. 'If you want to see a turtle, you'd better go to Green Delights,'said Nightingale. 'There's a huge one there in a tank.''Is it really big?' said Blossom. 'Yes, it's enormous,'said Nightingale. 'It must be hundreds of years old.''I'd love to see it,'said Blossom. 'Well, you can go there tomorrow,'said Nightingale. 'But you'll have to ask Her Old Ladyship's permission first.''I'll ask her in the morning,'said Blossom. 'And I'll ask her about the badger too.''What badger?' said Nightingale. 'The one that's supposed to be in the garden,'said Blossom. 'I've never seen it, but I've heard it's there.''Don't be silly!'said Nightingale. 'There's no badger in the garden.''Why not?' said Blossom. 'Because there isn't,'said Nightingale. 'Anyway, even if there was, it would be hibernating now. It's winter.''I wonder what it would be like to see a badger,'said Blossom. 'I've never seen one.''You wouldn't like it,'said Nightingale. 'It's a horrible, smelly beast.''Really?' said Blossom. 'Yes, really,'said Nightingale. 'Anyway, you won't ever see one.''Why not?' said Blossom. 'Because you won't,'said Nightingale. 'Now let's go to sleep.''All right,'said Blossom. 'But I wish I could see a badger.''Well, you can't,'said Nightingale. 'So just go to sleep!''All right,'said Blossom. 'But I do wish I could see a badger.''For goodness' sake!' said Nightingale. 'Will you please go to sleep!''All right,'said Blossom. 'But I do wish I could see a badger.''For goodness' sake!' said Nightingale. 'Will you please go to sleep!''All right,'said Blossom. 'But I do wish I could see a badger.''For goodness' sake!' said Nightingale. 'Will you please go to sleep!''All right,'said Blossom. 'But I do wish I could see a badger.''For goodness' sake!' said Nightingale. 'Will you please go to sleep!''All right,'said Blossom. 'But I do wish I could see a badger.''For goodness' sake!' said Nightingale. 'Will you please go to sleep!''All right,'said Blossom. 'But I do wish I could see a badger.''For goodness' sake!' said Nightingale. 'Will you please go to sleep!''All right,'said Blossom. 'But I do wish I could see a badger.''For goodness' sake!' said Nightingale. 'Will you please go to sleep!''All right,'said Blossom. 'But I do wish I could see a badger.''For goodness' sake!' said Nightingale. 'Will you please go to sleep!''All right,'said Blossom. 'But I do wish I could see a badger.''For goodness' sake!' said Nightingale. 'Will you please go to sleep!''All right,'said Blossom. 'But I do wish I could see a badger.''For goodness' sake!' said Nightingale. 'Will you please go to sleep!''All right,'said Blossom. 'But I do wish I could see a badger.''For goodness' sake!' said Nightingale. 'Will you please go to sleep!''All right,'said Blossom. 'But I do wish I could see a badger.''For\n", "================================================================================\n", "----detect non-word characters repetition----\n", "----detect text repetitions----\n", "\n", "Group 1 found at 1486-1619: ` go to sleep!''All right,'said Blossom. 'But I do wish I could see a badger.''For goodness' sake!' said Nightingale. 'Will you please`\n", "(0, 1330, 1330)\n", "吕留良提笔沉吟半晌，便在画上振笔直书。 顷刻诗成，诗云：\n", "================================================================================\n", "He picked up a writing-brush and for some minutes could be observed muttering to himself in the throes of composition; then, writing straight on to the painting and with pauses only for moistening the brush, he quickly completed the following poem:\n", "================================================================================\n", " Lü held his brush suspended for some moments, then began to write on the painting in bold strokes. In a minute or two the poem was finished. It read as follows:— 'The Peach Blossom Stream'—A Picture-Poem by Lü Liuliang, 1729 A.D. The peach blossoms are in flower, The willows are in leaf. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing,\n", "================================================================================\n", "----detect non-word characters repetition----\n", "----detect text repetitions----\n", "\n", "Group 1 found at 315-327: `. 'I promise`\n", "\n", "Group 1 found at 547-1214: `. 'The old eunuch looked at him for a long time, then nodded. 'All right,'he said. 'I believe you. 'Then he turned to Whiskers. 'You can go now,'he said. 'But remember, if you ever breathe a word about this, I'll kill you. 'Yes, Goong-goong,'said Whiskers. 'I promise I won't say anything. 'The old eunuch nodded again. 'All right,'he said. 'You can go. 'And he turned back to Trinket. 'Now, listen,'he said. 'I want you to do something for me. 'What is it, Goong-goong?' said Trinket. 'I want you to take this,'said the old eunuch, and he handed Trinket a little note. 'And I want you to give it to the Helmsman. 'Yes, Goong-goong,'said Trinket. 'I'll give it to him`\n", "\n", "Group 1 found at 6112-6117: `Goong`\n", "(0, 4687, 4687)\n", "老子就吃过。”\n", "================================================================================\n", "Do try some, it's delicious!'\n", "================================================================================\n", " I've had my supper.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I\n", "================================================================================\n", "----detect non-word characters repetition----\n", "----detect text repetitions----\n", "\n", "Group 1 found at 19-121: `.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine`\n", "(0, 6120, 6120)\n", "宝玉笑道：“给你个榧子吃呢!\n", "================================================================================\n", "Bao-yu laughed and snapped his fingers at her: 'Put that on your tongue, girl!\n", "================================================================================\n", " 'I'll give you a button!' said Bao-yu, laughing. 'Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! 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Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is\n", "================================================================================\n", "----detect non-word characters repetition----\n", "----detect text repetitions----\n", "\n", "Group 1 found at 413-425: `! Here he is`\n", "(0, 6122, 6122)\n", "韦小宝暗暗叫苦：“原来做太监要净身，那就是割去小便的东西。\n", "================================================================================\n", "Trinket was horrified. 'So that's what being 'purified' means: having your piss-pipe and the other bits cut off.\n", "================================================================================\n", " Trinket groaned inwardly. So that was what they meant by 'purification'! It meant cutting off your prick! He had heard of eunuchs, of course, but had never imagined that he might one day become one himself. The thought of it made him shudder. 'No, no, no! I'd rather die! I'd rather die! I'd rather die!'he muttered to himself. 'I'd rather die...'But the words died on his lips. He had just seen something that made his heart sink even further. The old eunuch was now standing in front of a large, ornate mirror, and as he stood there, he began very slowly to take off his clothes. Trinket's eyes grew round with horror. The old man's lower half was like a woman's. There was no sign of a penis or testicles. The whole area had been sliced clean away. Trinket felt a wave of nausea wash over him. He was going to be like that too! He was going to be a half-man! He was going to be a monster! 'No! No! No!' he screamed silently. 'I won't let them do it! I won't let them! I won't!'But it was too late. The old eunuch had already begun to take the knife. 'No! No! No!' Trinket screamed, this time out loud. 'I won't let you! I won't let you! I won't let you!'But no sound emerged. He was paralysed with fear. The old eunuch raised the knife. It glinted in the candlelight. Trinket closed his eyes. This was death. This was the end. But just at that moment, there was a loud knocking at the door. 'Come in!' said the old eunuch. The door opened and another eunuch came in. 'Is His Old Majesty's little friend here yet?' he said. 'No, he's not here yet,' said the old eunuch. 'But he's on his way. I've already sent someone to fetch him.''All right,'said the other eunuch. 'I'll wait here with you then till he comes.'Trinket opened his eyes again. He had been given a reprieve. But for how long? Soon he would have to undergo the operation. Soon he would cease to be a man. The horror of it was too much to bear. He became quite hysterical. He was laughing and crying at the same time. He was praying and cursing. He was begging for mercy. He was screaming defiance. He was out of his mind. But no sound emerged. He was paralysed with fear. The two eunuchs stood there waiting for the Little Count to arrive. They did not seem to notice Trinket's condition. They stood there talking to each other in low tones. Trinket's mind was a complete blank. He did not know what he wanted. He did not know what he was afraid of. He did not know what he was praying for. He did not know what he was cursing. He did not know what he wanted to do. He did not know what he wanted to say. He did not know what he wanted to think. He was completely out of his mind. But then, suddenly, he remembered something. He remembered that he had a dagger. It was hidden under his belt. He had picked it up on the way. He had picked it up without thinking. But now he knew what he wanted to do with it. He wanted to kill the two eunuchs. He wanted to kill them before they killed him. He wanted to kill them before they made him into a half-man. He wanted to kill them before they made him into a monster. He slowly took out the dagger. He raised it. He brought it down. But just at that moment, the door opened again. 'Ah, Old Hai,'said the Little Count, 'I hear you've got a new boy for me.''Yes, Little Count,'said the old eunuch. 'He's a very nice little fellow.''Good,'said the Little Count. 'Let's have a look at him.'The old eunuch stepped aside. The Little Count looked at Trinket. Trinket looked at the Little Count. The Little Count was a boy about his own age. He was dressed in the uniform of a Manchu nobleman. He had a very pale face. He had very red lips. He had very sharp eyes. He looked very intelligent. He looked very handsome. He looked very proud. He looked very haughty. He looked very contemptuous. He looked very cruel. Trinket felt a shiver run down his spine. He felt a shiver run down his back. He felt a shiver run down his arms. He felt a shiver run down his legs. He felt a shiver run down his whole body. He felt very cold. He felt very frightened. He felt very nervous. He felt very timid. He felt very shy. He felt very ashamed. He felt very guilty. He felt very humiliated. He felt very insulted. He felt very offended. He felt very angry. He felt very resentful. He felt very bitter. He felt very scornful. He felt very contemptuous. He felt very cruel. He felt very proud. He felt very haughty. He felt very superior. He felt very arrogant. He felt very self-important. He felt very vain. He felt very self-satisfied. He felt very complacent. He felt very smug. He felt very pleased. He felt very happy. He felt very lucky. He felt very grateful. He felt very relieved. He felt very hopeful. He felt very optimistic. He felt very enthusiastic. He felt very eager. He felt very excited. He felt very thrilled. He felt very elated. He felt very proud. He felt very haughty. He felt very superior. He felt very arrogant. He felt very self-important. He felt very vain. He felt very self-satisfied. He felt very complacent. He felt very smug. He felt very pleased. He felt very happy. He felt very lucky. He felt very grateful. He felt very relieved. He felt very hopeful. He felt very optimistic. He felt very enthusiastic. He felt very eager. He felt very excited. He felt very thrilled. He felt very elated. He felt very proud. He felt very haughty. He felt very superior. He felt very arrogant. He felt very self-important. He felt very vain. He felt very self-satisfied. He felt very complacent. He felt very smug. He felt very pleased. He felt very happy. He felt very lucky. He felt very grateful. He felt very relieved. He felt very hopeful. He felt very optimistic. He felt very enthusiastic. He felt very eager. He felt very excited. He felt very thrilled. He felt very elated. He felt very proud. He felt very haughty. He felt very superior. He felt very arrogant. He felt very self-important. He felt very vain. He felt very self-satisfied. He felt very complacent. He felt very smug. He felt very pleased. He felt very happy. He felt very lucky. He felt very grateful. He felt very relieved. He felt very hopeful. He felt very optimistic. He felt very enthusiastic. He felt very eager. He felt very excited. He felt very thrilled. He felt very elated. He felt very proud. He felt very haughty. He felt very superior. He felt very arrogant. He felt very self-important. He felt very vain. He felt very self-satisfied. He felt very complacent. He felt very smug. He felt very pleased. He felt very happy. He felt very lucky. He felt very grateful. He felt very relieved. He felt very hopeful. He felt very optimistic. He felt very enthusiastic. He felt very eager. He felt very excited. He felt very thrilled. He felt very elated. He felt very proud. He felt very haughty. He felt very superior. He felt very arrogant. He felt very self-important. He felt very vain. He felt very self-satisfied. He felt very complacent. He felt very smug. He felt very pleased. He felt very happy. He felt very lucky. He felt very grateful. He felt very relieved. He felt very hopeful. He felt very optimistic. He felt very enthusiastic. He felt very eager. He felt very excited. He felt very thrilled. He felt very elated. He felt very proud. He felt very haughty. He felt very superior. He felt very arrogant. He felt very self-important. He felt very vain. He felt very self-satisfied. He felt very complacent. He felt very smug. He felt very pleased. He felt very happy. He felt very lucky. He felt very grateful. He felt very relieved. He felt very hopeful. He felt very optimistic. He felt very enthusiastic. He felt very eager. He felt very excited. He felt very thrilled. He felt very elated. He felt very proud. He felt very haughty. He felt very superior. He felt very arrogant. He felt very self-important. He felt very vain. He felt very self-satisfied. He felt very complacent. He felt very smug. He felt very pleased. He felt very happy. He felt very lucky. He felt very grateful. He felt very relieved. He felt very hopeful. He felt very optimistic. He felt very enthusiastic. He felt very eager. He felt very excited. He felt very thrilled. He felt very elated. He felt very proud. He felt very haughty. He felt\n", "================================================================================\n", "----detect non-word characters repetition----\n", "----detect text repetitions----\n", "\n", "Group 1 found at 255-271: `! I'd rather die`\n", "\n", "Group 1 found at 1107-1122: `I won't let you`\n", "\n", "Group 1 found at 3452-3460: ` Trinket`\n", "\n", "Group 1 found at 3479-3496: ` the Little Count`\n", "\n", "Group 1 found at 131-146: `Stop blubbering`\n", "\n", "Group 1 found at 97-111: `It's all right`\n", "(1120, 3360, 4480)\n", "韦小宝道：“今儿我赌了钱回来，遇到一个小…… 小太监，拦住了路，要我分钱给他，我不肯，他就跟我比武，说道我胜得过他，才放我走。\n", "================================================================================\n", "'Well, after today's game, I met this . . . little eunuch, who stood in my way and asked me to give him some of my winnings. I wouldn't, so we ended up fighting.\n", "================================================================================\n", " 'I was coming back from gambling today when I met this little... this little eunuch who barred my way and wanted me to give him some money. I refused, so he said he'd let me go if I could beat him in a fight. So I fought him. And I won. And he let me go. That's all.''Did you kill him?' 'Yes. I killed him.''Why did you kill him?' 'Because he said he'd kill me if I didn't.''You mean you killed him in self-defence?' 'Yes. That's right.''Well, that's all right then.''But I'm afraid there might be trouble about it.''What sort of trouble?' 'I'm afraid they might hang me.''Don't worry! No one's going to hang you.''But what about the Helmsman?' 'I'll tell him it was self-defence. He'll understand.''But what about the Emperor?' 'I'll tell him too.''But what if he doesn't believe you?' 'He'll believe me.''But what if he doesn't?' 'Then we'll just have to run away.''Where could we run to?' 'We could go to the River.''What River?' 'The River at home.''You mean the one in your village?' 'Yes.''But how should we get there?' 'We could go by boat.''But what about the Helmsman?' 'He could come with us.''And what about the other Brothers?' 'They could all come.''But what about the Emperor?' 'Huh! Let him stay here!''But what about the Empress Dowager?' 'Huh! Let her stay here too!''And what about the Little Countess?' 'Oh, she could come with us.''And what about Blossom?' 'She could come too.''And what about Whiskers?' 'He could come too.''And what about Goolar?' 'He could come too.''And what about Old Hai?' 'He could come too.''And what about the other Palace eunuchs?' 'Huh! Let them stay here!''And what about the Tartars?' 'Huh! Let them stay here too!''And what about the Chinese?' 'Huh! Let them stay here too!''And what about the whole Empire?' 'Huh! Let it stay here too!''But what about the Emperor?' 'Huh! Let him stay here too!''But what about the Empress Dowager?' 'Huh! Let her stay here too!''And what about the Little Countess?' 'Oh, she could come with us.''And what about Blossom?' 'She could come too.''And what about Whiskers?' 'He could come too.''And what about Goolar?' 'He could come too.''And what about Old Hai?' 'He could come too.''And what about the other Palace eunuchs?' 'Huh! Let them stay here!''And what about the Tartars?' 'Huh! Let them stay here too!''And what about the Chinese?' 'Huh! Let them stay here too!''And what about the whole Empire?' 'Huh! Let it stay here too!''But what about the Emperor?' 'Huh! Let him stay here too!''But what about the Empress Dowager?' 'Huh! Let her stay here too!''And what about the Little Countess?' 'Oh, she could come with us.''And what about Blossom?' 'She could come too.''And what about Whiskers?' 'He could come too.''And what about Goolar?' 'He could come too.''And what about Old Hai?' 'He could come too.''And what about the other Palace eunuchs?' 'Huh! Let them stay here!''And what about the Tartars?' 'Huh! Let them stay here too!''And what about the Chinese?' 'Huh! Let them stay here too!''And what about the whole Empire?' 'Huh! Let it stay here too!''But what about the Emperor?' 'Huh! Let him stay here too!''But what about the Empress Dowager?' 'Huh! Let her stay here too!''And what about the Little Countess?' 'Oh, she could come with us.''And what about Blossom?' 'She could come too.''And what about Whiskers?' 'He could come too.''And what about Goolar?' 'He could come too.''And what about Old Hai?' 'He could come too.''And what about the other Palace eunuchs?' 'Huh! Let them stay here!''And what about the Tartars?' 'Huh! Let them stay here too!''And what about the Chinese?' 'Huh! Let them stay here too!''And what about the whole Empire?' 'Huh! Let it stay here too!''But what about the Emperor?' 'Huh! Let him stay here too!''But what about the Empress Dowager?' 'Huh! Let her stay here too!''And what about the Little Countess?' 'Oh, she could come with us.''And what about Blossom?' 'She could come too.''And what about Whiskers?' 'He could come too.''And what about Goolar?' 'He could come too.''And what about Old Hai?' 'He could come too.''And what about the other Palace eunuchs?' 'Huh! Let them stay here!''And what about the Tartars?' 'Huh! Let them stay here too!''And what about the Chinese?' 'Huh! Let them stay here too!''And what about the whole Empire?' 'Huh! Let it stay here too!''But what about the Emperor?' 'Huh! Let him stay here too!''But what about the Empress Dowager?' 'Huh! Let her stay here too!''And what about the Little Countess?' 'Oh, she could come with us.''And what about Blossom?' 'She could come too.''And what about Whiskers?' 'He could come too.''And what about Goolar?' 'He could come too.''And what about Old Hai?' 'He could come too.''And what about the other Palace eunuchs?' 'Huh! Let them stay here!''And what about the Tartars?' 'Huh! Let them stay here too!''And what about the Chinese?' 'Huh! Let them stay here too!''And what about the whole Empire?' 'Huh! Let it stay here too!''But what about the Emperor?' 'Huh! Let him stay here too!''But what about the Empress Dowager?' 'Huh! Let her stay here too!''And what about the Little Countess?' 'Oh, she could come with us.''And what about Blossom?' 'She could come too.''And what about Whiskers?' 'He could come too.''And what about Goolar?' 'He could come too.''And what about Old Hai?' 'He could come too.''And what about the other Palace eunuchs?' 'Huh! Let them stay here!''And what about the Tartars?' 'Huh! Let them stay here too!''And what about the Chinese?' 'Huh! Let them stay here too!''And what about the whole Empire?' 'Huh! Let it stay here too!''But what about the Emperor?' 'Huh! Let him stay here too!''But what about the Empress Dowager?' 'Huh! Let her stay here too!''And what about the Little Countess?' 'Oh, she could come with us.''And what about Blossom?' 'She could come too.''And what about Whiskers?' 'He could come too.''And what about Goolar?' 'He could come too.''And what about Old Hai?' 'He could come too.''And what about the other Palace eunuchs?' 'Huh! Let them stay here!''And what about the Tartars?' 'Huh! Let them stay here too!''And what about the Chinese?' 'Huh! Let them stay here too!''And what about the whole Empire?' 'Huh! Let it stay here too!''But what about the Emperor?' 'Huh! Let him stay here too!''But what about the Empress Dowager?' 'Huh! Let her stay here too!''And what about the Little Countess?' 'Oh, she could come with us.''And what about Blossom?' 'She could come too.''And what about Whiskers?' 'He could come too.''And what about Goolar?' 'He could come too.''And what about Old Hai?' 'He could come too.''And what about the other Palace eunuchs?' 'Huh! Let them stay here!''And what about the Tartars?' 'Huh! Let them stay here too!''And what about\n", "================================================================================\n", "----detect non-word characters repetition----\n", "----detect text repetitions----\n", "\n", "Group 1 found at 50-62: ` this little`\n", "\n", "Group 1 found at 1216-1846: `!''But what about the Empress Dowager?' 'Huh! Let her stay here too!''And what about the Little Countess?' 'Oh, she could come with us.''And what about Blossom?' 'She could come too.''And what about Whiskers?' 'He could come too.''And what about Goolar?' 'He could come too.''And what about Old Hai?' 'He could come too.''And what about the other Palace eunuchs?' 'Huh! Let them stay here!''And what about the Tartars?' 'Huh! Let them stay here too!''And what about the Chinese?' 'Huh! Let them stay here too!''And what about the whole Empire?' 'Huh! Let it stay here too!''But what about the Emperor?' 'Huh! Let him stay here too`\n", "(0, 4425, 4425)\n", "顾炎武道：“此诗结得甚妙！\n", "================================================================================\n", "'Your conclusion is excellent, ' said Gu.\n", "================================================================================\n", " 'The poem ends very well,' said Gu. 'But what does it mean? 'I am a man of Zou. ''What does that signify? 'I am a man of Zou. ''It means that I am a man of Zou.''I am a man of Zou. ''I am a man of Zou. ''It means that I am a man of Zou.''I am a man of Zou. ''I am a man of Zou. ''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou.''I am a man of Zou\n", "================================================================================\n", "----detect non-word characters repetition----\n", "----detect text repetitions----\n", "\n", "Group 1 found at 107-180: `'I am a man of Zou. ''It means that I am a man of Zou.''I am a man of Zou`\n", "\n", "Group 1 found at 332-406: `.''I am a man of Zou.''It means that I am a man of Zou.''I am a man of Zou`\n", "(0, 4370, 4370)\n", "\n", "*** Found 6 rows with output_tokens >= 2048 for shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.02\n", "--------------------------------------------------\n", "chinese: 因问贾环：“你输了多少钱？”\n", "--------------------------------------------------\n", "english: How much did you lose?'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.02: He turned to Jia Huan. 'How much did you lose?' he asked. 'I lost a hundred cash,' said Jia Huan. 'That's nothing!' said Dai-ru. 'I lost a thousand.' 'Well, I lost two thousand,' said Jia Qiang. 'And I three thousand,' said Jia Yun. 'I lost ten times that amount,' said Dai-ru. 'I lost thirty thousand cash.' 'Well, I lost a hundred thousand,' said Jia Qiang. 'I lost a million,' said Jia Yun. 'I lost ten million,' said Dai-ru. 'I lost a hundred million,' said Jia Qiang. 'I lost ten times that amount,' said Jia Yun. 'I lost a thousand million,' said Dai-ru. 'I lost ten thousand million,' said Jia Qiang. 'I lost a hundred thousand million,' said Jia Yun. 'I lost ten times that amount,' said Dai-ru. 'I lost a thousand thousand million,' said Jia Qiang. 'I lost ten thousand thousand million,' said Jia Yun. 'I lost a hundred thousand thousand million,' said Dai-ru. 'I lost ten times that amount,' said Jia Qiang. 'I lost a thousand thousand thousand million,' said Jia Yun. 'I lost ten thousand thousand thousand million,' said Dai-ru. 'I lost a hundred thousand thousand thousand million,' said Jia Qiang. 'I lost ten times that amount,' said Jia Yun. 'I lost a thousand thousand thousand thousand million,' said Dai-ru. 'I lost ten thousand thousand thousand thousand million,' said Jia Qiang. 'I lost a hundred thousand thousand thousand thousand million,' said Jia Yun. 'I lost ten times that amount,' said Dai-ru. 'I lost a thousand thousand thousand thousand thousand million,' said Jia Qiang. 'I lost ten thousand thousand thousand thousand thousand million,' said Jia Yun. 'I lost a hundred thousand thousand thousand thousand thousand million,' said Dai-ru. 'I lost ten times that amount,' said Jia Qiang. 'I lost a thousand thousand thousand thousand thousand thousand million,' said Jia Yun. 'I lost ten thousand thousand thousand thousand thousand thousand million,' said Dai-ru. 'I lost a hundred thousand thousand thousand thousand thousand thousand million,' said Jia Qiang. 'I lost ten times that amount,' said Jia Yun. 'I lost a thousand thousand thousand thousand thousand thousand thousand million,' said Dai-ru. 'I lost ten thousand thousand thousand thousand thousand thousand thousand million,' said Jia Qiang. 'I lost a hundred thousand thousand thousand thousand thousand thousand thousand million,' said Jia Yun. 'I lost ten times that amount,' said Dai-ru. 'I lost a thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Qiang. 'I lost ten thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Yun. 'I lost a hundred thousand thousand thousand thousand thousand thousand thousand thousand million,' said Dai-ru. 'I lost ten times that amount,' said Jia Qiang. 'I lost a thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Yun. 'I lost ten thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Dai-ru. 'I lost a hundred thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Qiang. 'I lost ten times that amount,' said Jia Yun. 'I lost a thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Dai-ru. 'I lost ten thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Qiang. 'I lost a hundred thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Yun. 'I lost ten times that amount,' said Dai-ru. 'I lost a thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Qiang. 'I lost ten thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Yun. 'I lost a hundred thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Dai-ru. 'I lost ten times that amount,' said Jia Qiang. 'I lost a thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Yun. 'I lost ten thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Dai-ru. 'I lost a hundred thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Qiang. 'I lost ten times that amount,' said Jia Yun. 'I lost a thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Dai-ru. 'I lost ten thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Qiang. 'I lost a hundred thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Yun. 'I lost ten times that amount,' said Dai-ru. 'I lost a thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Qiang. 'I lost ten thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Yun. 'I lost a hundred thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Dai-ru. 'I lost ten times that amount,' said Jia Qiang. 'I lost a thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Yun. 'I lost ten thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Dai-ru. 'I lost a hundred thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Qiang. 'I lost ten times that amount,' said Jia Yun. 'I lost a thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Dai-ru. 'I lost ten thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Qiang. 'I lost a hundred thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Yun. 'I lost ten times that amount,' said Dai-ru. 'I lost a thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Qiang. 'I lost ten thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Yun. 'I lost a hundred thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Dai-ru. 'I lost ten times that amount,' said Jia Qiang. 'I lost a thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Yun. 'I lost ten thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Dai-ru. 'I lost a hundred thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Qiang. 'I lost ten times that amount,' said Jia Yun. 'I lost a thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Dai-ru. 'I lost ten thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Qiang. 'I lost a hundred thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Yun. 'I lost ten times that amount,' said Dai-ru. 'I lost a thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Qiang. 'I lost ten thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Yun. 'I lost a hundred thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Dai-ru. 'I lost ten times that amount,' said Jia Qiang. 'I lost a thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Yun. 'I lost ten thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Dai-ru. 'I lost a hundred thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Qiang. 'I lost ten times that amount,' said Jia Yun. 'I lost a thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Dai-ru. 'I lost ten thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Qiang. 'I lost a hundred thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Yun. 'I lost ten times that amount,' said Dai-ru. 'I lost a thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Qiang. 'I lost ten thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand thousand million,' said Jia Yun. 'I\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.02: 2048\n", "--------------------------------------------------\n", "chinese: 只篦了三五下儿，见晴雯忙忙走进来取钱，一见他两个，便冷笑道：“哦!\n", "--------------------------------------------------\n", "english: But he had not drawn it more than four or five times through her hair, when Skybright came bursting in to get some more money. Seeing the two of them together, she smiled sarcastically: 'Fancy!\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.02: He had barely done half-a-dozen strokes when Skybright came hurrying in to fetch her money. Seeing the two of them there, she gave them a frosty smile. 'Ah! I see! So this is where you've got to! I've been looking all over for you. 'Tis a lucky thing I've found you. I was beginning to think that you had both of you gone off together somewhere. 'Tis a good thing I can trust you! 'Tis a good thing I know that you are both of you perfectly capable of looking after yourselves! 'Tis a good thing—' She was about to say more, but Dai-yu interrupted her. 'Skybright, what's wrong? What are you so upset about? 'It's you!' said Skybright. 'I'm upset about you! I'm upset because I can trust you and you can look after yourself. 'If you can look after yourself, why do you need me to look after you? 'If you don't need me to look after you, why do you want me to stay with you? 'If you want me to stay with you, why do you go off with other people? 'If you go off with other people, why do you want me to stay with you? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with other people? 'If you want me to stay with you, why do you go off with\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.02: 2048\n", "--------------------------------------------------\n", "chinese: 吕留良提笔沉吟半晌，便在画上振笔直书。 顷刻诗成，诗云：\n", "--------------------------------------------------\n", "english: He picked up a writing-brush and for some minutes could be observed muttering to himself in the throes of composition; then, writing straight on to the painting and with pauses only for moistening the brush, he quickly completed the following poem:\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.02: Lü held his brush suspended for some moments, then began to write on the painting in bold strokes. In a minute or two the poem was finished. It read as follows:— 'The Peach Blossom Stream'—A Picture-Poem by Lü Liuliang, 1729 A.D. The peach blossoms are in flower, The willows are in leaf. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing, And the Peach Blossom Land is all around. The Peach Blossom Stream is flowing,\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.02: 2048\n", "--------------------------------------------------\n", "chinese: 老子就吃过。”\n", "--------------------------------------------------\n", "english: Do try some, it's delicious!'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.02: I've had my supper.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I've had mine.' 'Old Colour, have you eaten?' 'Yes, I've had mine.' 'Old Gook, have you eaten?' 'Yes, I\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.02: 2048\n", "--------------------------------------------------\n", "chinese: 宝玉笑道：“给你个榧子吃呢!\n", "--------------------------------------------------\n", "english: Bao-yu laughed and snapped his fingers at her: 'Put that on your tongue, girl!\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.02: 'I'll give you a button!' said Bao-yu, laughing. 'Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here you are! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! 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Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! 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Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is! Here he is\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.02: 2048\n", "--------------------------------------------------\n", "chinese: 囚车旁一清兵恼了，伸腿在车上踢了一脚，喝道：“再哭，再哭！\n", "--------------------------------------------------\n", "english: One of the soldiers marching alongside, irritated by the baby's crying, aimed a mighty kick at the cart. 'Stop it! Shut up!\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.02: One of the soldiers standing beside the prison cart, exasperated by her weeping, kicked the side of the cart and shouted at her: 'Stop blubbering! Stop blubbering! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! Hush! H\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.02: 2048\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" ] } ], "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": "rapget", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.9" } }, "nbformat": 4, "nbformat_minor": 0 }