{ "cells": [ { "cell_type": "code", "execution_count": 36, "metadata": { "executionInfo": { "elapsed": 476, "status": "ok", "timestamp": 1720679526275, "user": { "displayName": "HUANG DONGHAO _", "userId": "00977795705617022768" }, "user_tz": -480 }, "id": "uWKRSV6eZsCn" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "loading /Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "[nltk_data] Downloading package wordnet to\n", "[nltk_data] /Users/inflaton/nltk_data...\n", "[nltk_data] Package wordnet is already up-to-date!\n", "[nltk_data] Downloading package punkt to /Users/inflaton/nltk_data...\n", "[nltk_data] Package punkt is already up-to-date!\n", "[nltk_data] Downloading package omw-1.4 to\n", "[nltk_data] /Users/inflaton/nltk_data...\n", "[nltk_data] Package omw-1.4 is already up-to-date!\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "ec1a715e3996497595f12c40d977880a", "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 44 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 chinese 1133 non-null object\n", " 1 english 1133 non-null object\n", " 2 Qwen/Qwen2-72B-Instruct/shots-00 1133 non-null object\n", " 3 Qwen/Qwen2-72B-Instruct/shots-01 1133 non-null object\n", " 4 Qwen/Qwen2-72B-Instruct/shots-03 1133 non-null object\n", " 5 Qwen/Qwen2-72B-Instruct/shots-05 1133 non-null object\n", " 6 Qwen/Qwen2-72B-Instruct/shots-10 1133 non-null object\n", " 7 Qwen/Qwen2-72B-Instruct/shots-50 1133 non-null object\n", " 8 Qwen/Qwen2-7B-Instruct/shots-00 1133 non-null object\n", " 9 Qwen/Qwen2-7B-Instruct/shots-01 1133 non-null object\n", " 10 Qwen/Qwen2-7B-Instruct/shots-03 1133 non-null object\n", " 11 Qwen/Qwen2-7B-Instruct/shots-05 1133 non-null object\n", " 12 Qwen/Qwen2-7B-Instruct/shots-10 1133 non-null object\n", " 13 Qwen/Qwen2-7B-Instruct/shots-50 1133 non-null object\n", " 14 internlm/internlm2_5-7b-chat/shots-00 1133 non-null object\n", " 15 internlm/internlm2_5-7b-chat/shots-01 1133 non-null object\n", " 16 internlm/internlm2_5-7b-chat/shots-03 1133 non-null object\n", " 17 internlm/internlm2_5-7b-chat/shots-05 1133 non-null object\n", " 18 internlm/internlm2_5-7b-chat/shots-10 1133 non-null object\n", " 19 internlm/internlm2_5-7b-chat/shots-50 1133 non-null object\n", " 20 shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00 1133 non-null object\n", " 21 shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01 1133 non-null object\n", " 22 shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-03 1133 non-null object\n", " 23 shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05 1133 non-null object\n", " 24 shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-10 1133 non-null object\n", " 25 shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-50 1133 non-null object\n", " 26 shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-00 1133 non-null object\n", " 27 shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-01 1133 non-null object\n", " 28 shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-03 1133 non-null object\n", " 29 shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05 1133 non-null object\n", " 30 shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10 1133 non-null object\n", " 31 shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50 1133 non-null object\n", " 32 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-00 1133 non-null object\n", " 33 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-01 1133 non-null object\n", " 34 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03 1133 non-null object\n", " 35 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-05 1133 non-null object\n", " 36 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10 1133 non-null object\n", " 37 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-50 1133 non-null object\n", " 38 microsoft/Phi-3.5-mini-instruct/shots-00 1133 non-null object\n", " 39 microsoft/Phi-3.5-mini-instruct/shots-01 1133 non-null object\n", " 40 microsoft/Phi-3.5-mini-instruct/shots-03 1133 non-null object\n", " 41 microsoft/Phi-3.5-mini-instruct/shots-05 1133 non-null object\n", " 42 microsoft/Phi-3.5-mini-instruct/shots-10 1133 non-null object\n", " 43 microsoft/Phi-3.5-mini-instruct/shots-50 1133 non-null object\n", "dtypes: object(44)\n", "memory usage: 389.6+ KB\n" ] } ], "source": [ "import pandas as pd\n", "from llm_toolkit.llm_utils import *\n", "from llm_toolkit.translation_utils import *\n", "\n", "df = pd.read_csv(results_path)\n", "df.info()" ] }, { "cell_type": "code", "execution_count": 41, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "RangeIndex: 1133 entries, 0 to 1132\n", "Data columns (total 25 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 chinese 1133 non-null object\n", " 1 english 1133 non-null object\n", " 2 gpt-4o-mini/shots-00 1133 non-null object\n", " 3 gpt-4o-mini/shots-01 1133 non-null object\n", " 4 gpt-4o-mini/shots-03 1133 non-null object\n", " 5 gpt-4o-mini/shots-05 1133 non-null object\n", " 6 gpt-4o-mini/shots-10 1133 non-null object\n", " 7 gpt-4o-mini/shots-50 1133 non-null object\n", " 8 gpt-4o/shots-00 1133 non-null object\n", " 9 gpt-4o/shots-01 1133 non-null object\n", " 10 gpt-4o/shots-03 1133 non-null object\n", " 11 gpt-4o/shots-05 1133 non-null object\n", " 12 gpt-4o/shots-10 1133 non-null object\n", " 13 gpt-4o/shots-50 1133 non-null object\n", " 14 gpt-4o-mini/epochs-01 1133 non-null object\n", " 15 gpt-4o-mini/epochs-02 1133 non-null object\n", " 16 gpt-4o-mini/epochs-03 1133 non-null object\n", " 17 gpt-4o-mini/epochs-04 1133 non-null object\n", " 18 gpt-4o-mini/epochs-05 1133 non-null object\n", " 19 gpt-4o-mini/epochs-06 1133 non-null object\n", " 20 gpt-4o/epochs-01 1133 non-null object\n", " 21 gpt-4o/epochs-02 1133 non-null object\n", " 22 gpt-4o/epochs-03 1133 non-null object\n", " 23 gpt-4o/epochs-04 1133 non-null object\n", " 24 gpt-4o/epochs-05 1133 non-null object\n", "dtypes: object(25)\n", "memory usage: 221.4+ KB\n" ] } ], "source": [ "df_openai = pd.read_csv(\"results/mac-results_few_shots_openai.csv\")\n", "df_openai.info()" ] }, { "cell_type": "code", "execution_count": 42, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['gpt-4o-mini/shots-00',\n", " 'gpt-4o-mini/shots-01',\n", " 'gpt-4o-mini/shots-03',\n", " 'gpt-4o-mini/shots-05',\n", " 'gpt-4o-mini/shots-10',\n", " 'gpt-4o-mini/shots-50',\n", " 'gpt-4o/shots-00',\n", " 'gpt-4o/shots-01',\n", " 'gpt-4o/shots-03',\n", " 'gpt-4o/shots-05',\n", " 'gpt-4o/shots-10',\n", " 'gpt-4o/shots-50']" ] }, "execution_count": 42, "metadata": {}, "output_type": "execute_result" } ], "source": [ "openai_cols = df_openai.columns[2:].tolist()\n", "openai_cols = [col for col in openai_cols if \"shots\" in col]\n", "openai_cols" ] }, { "cell_type": "code", "execution_count": 43, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['Qwen/Qwen2-72B-Instruct/shots-00',\n", " 'Qwen/Qwen2-72B-Instruct/shots-01',\n", " 'Qwen/Qwen2-72B-Instruct/shots-03',\n", " 'Qwen/Qwen2-72B-Instruct/shots-05',\n", " 'Qwen/Qwen2-72B-Instruct/shots-10',\n", " 'Qwen/Qwen2-72B-Instruct/shots-50',\n", " 'Qwen/Qwen2-7B-Instruct/shots-00',\n", " 'Qwen/Qwen2-7B-Instruct/shots-01',\n", " 'Qwen/Qwen2-7B-Instruct/shots-03',\n", " 'Qwen/Qwen2-7B-Instruct/shots-05',\n", " 'Qwen/Qwen2-7B-Instruct/shots-10',\n", " 'Qwen/Qwen2-7B-Instruct/shots-50',\n", " 'internlm/internlm2_5-7b-chat/shots-00',\n", " 'internlm/internlm2_5-7b-chat/shots-01',\n", " 'internlm/internlm2_5-7b-chat/shots-03',\n", " 'internlm/internlm2_5-7b-chat/shots-05',\n", " 'internlm/internlm2_5-7b-chat/shots-10',\n", " 'internlm/internlm2_5-7b-chat/shots-50',\n", " 'microsoft/Phi-3.5-mini-instruct/shots-00',\n", " 'microsoft/Phi-3.5-mini-instruct/shots-01',\n", " 'microsoft/Phi-3.5-mini-instruct/shots-03',\n", " 'microsoft/Phi-3.5-mini-instruct/shots-05',\n", " 'microsoft/Phi-3.5-mini-instruct/shots-10',\n", " 'microsoft/Phi-3.5-mini-instruct/shots-50',\n", " 'shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00',\n", " 'shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01',\n", " 'shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-03',\n", " 'shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05',\n", " 'shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-10',\n", " 'shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-50',\n", " 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-00',\n", " 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-01',\n", " 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-03',\n", " 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05',\n", " 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10',\n", " 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50',\n", " 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-00',\n", " 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-01',\n", " 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03',\n", " 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-05',\n", " 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10',\n", " 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-50']" ] }, "execution_count": 43, "metadata": {}, "output_type": "execute_result" } ], "source": [ "result_columns = df.columns[2:].to_list()\n", "result_columns.sort()\n", "result_columns" ] }, { "cell_type": "code", "execution_count": 44, "metadata": {}, "outputs": [], "source": [ "columns = df.columns[:2].to_list() + result_columns\n", "df = df[columns]" ] }, { "cell_type": "code", "execution_count": 45, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(['Qwen/Qwen2-72B-Instruct/shots-00',\n", " 'Qwen/Qwen2-72B-Instruct/shots-01',\n", " 'Qwen/Qwen2-72B-Instruct/shots-03',\n", " 'Qwen/Qwen2-72B-Instruct/shots-05',\n", " 'Qwen/Qwen2-72B-Instruct/shots-10',\n", " 'Qwen/Qwen2-72B-Instruct/shots-50',\n", " 'Qwen/Qwen2-7B-Instruct/shots-00',\n", " 'Qwen/Qwen2-7B-Instruct/shots-01',\n", " 'Qwen/Qwen2-7B-Instruct/shots-03',\n", " 'Qwen/Qwen2-7B-Instruct/shots-05',\n", " 'Qwen/Qwen2-7B-Instruct/shots-10',\n", " 'Qwen/Qwen2-7B-Instruct/shots-50',\n", " 'internlm/internlm2_5-7b-chat/shots-00',\n", " 'internlm/internlm2_5-7b-chat/shots-01',\n", " 'internlm/internlm2_5-7b-chat/shots-03',\n", " 'internlm/internlm2_5-7b-chat/shots-05',\n", " 'internlm/internlm2_5-7b-chat/shots-10',\n", " 'internlm/internlm2_5-7b-chat/shots-50',\n", " 'microsoft/Phi-3.5-mini-instruct/shots-00',\n", " 'microsoft/Phi-3.5-mini-instruct/shots-01',\n", " 'microsoft/Phi-3.5-mini-instruct/shots-03',\n", " 'microsoft/Phi-3.5-mini-instruct/shots-05',\n", " 'microsoft/Phi-3.5-mini-instruct/shots-10',\n", " 'microsoft/Phi-3.5-mini-instruct/shots-50',\n", " 'shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00',\n", " 'shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01',\n", " 'shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-03',\n", " 'shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05',\n", " 'shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-10',\n", " 'shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-50',\n", " 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-00',\n", " 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-01',\n", " 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-03',\n", " 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05',\n", " 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10',\n", " 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50',\n", " 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-00',\n", " 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-01',\n", " 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03',\n", " 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-05',\n", " 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10',\n", " 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-50',\n", " 'gpt-4o-mini/shots-00',\n", " 'gpt-4o-mini/shots-01',\n", " 'gpt-4o-mini/shots-03',\n", " 'gpt-4o-mini/shots-05',\n", " 'gpt-4o-mini/shots-10',\n", " 'gpt-4o-mini/shots-50',\n", " 'gpt-4o/shots-00',\n", " 'gpt-4o/shots-01',\n", " 'gpt-4o/shots-03',\n", " 'gpt-4o/shots-05',\n", " 'gpt-4o/shots-10',\n", " 'gpt-4o/shots-50'],\n", " ['chinese',\n", " 'english',\n", " 'Qwen/Qwen2-72B-Instruct/shots-00',\n", " 'Qwen/Qwen2-72B-Instruct/shots-01',\n", " 'Qwen/Qwen2-72B-Instruct/shots-03',\n", " 'Qwen/Qwen2-72B-Instruct/shots-05',\n", " 'Qwen/Qwen2-72B-Instruct/shots-10',\n", " 'Qwen/Qwen2-72B-Instruct/shots-50',\n", " 'Qwen/Qwen2-7B-Instruct/shots-00',\n", " 'Qwen/Qwen2-7B-Instruct/shots-01',\n", " 'Qwen/Qwen2-7B-Instruct/shots-03',\n", " 'Qwen/Qwen2-7B-Instruct/shots-05',\n", " 'Qwen/Qwen2-7B-Instruct/shots-10',\n", " 'Qwen/Qwen2-7B-Instruct/shots-50',\n", " 'internlm/internlm2_5-7b-chat/shots-00',\n", " 'internlm/internlm2_5-7b-chat/shots-01',\n", " 'internlm/internlm2_5-7b-chat/shots-03',\n", " 'internlm/internlm2_5-7b-chat/shots-05',\n", " 'internlm/internlm2_5-7b-chat/shots-10',\n", " 'internlm/internlm2_5-7b-chat/shots-50',\n", " 'microsoft/Phi-3.5-mini-instruct/shots-00',\n", " 'microsoft/Phi-3.5-mini-instruct/shots-01',\n", " 'microsoft/Phi-3.5-mini-instruct/shots-03',\n", " 'microsoft/Phi-3.5-mini-instruct/shots-05',\n", " 'microsoft/Phi-3.5-mini-instruct/shots-10',\n", " 'microsoft/Phi-3.5-mini-instruct/shots-50',\n", " 'shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00',\n", " 'shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01',\n", " 'shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-03',\n", " 'shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05',\n", " 'shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-10',\n", " 'shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-50',\n", " 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-00',\n", " 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-01',\n", " 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-03',\n", " 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05',\n", " 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10',\n", " 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50',\n", " 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-00',\n", " 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-01',\n", " 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03',\n", " 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-05',\n", " 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10',\n", " 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-50',\n", " 'gpt-4o-mini/shots-00',\n", " 'gpt-4o-mini/shots-01',\n", " 'gpt-4o-mini/shots-03',\n", " 'gpt-4o-mini/shots-05',\n", " 'gpt-4o-mini/shots-10',\n", " 'gpt-4o-mini/shots-50',\n", " 'gpt-4o/shots-00',\n", " 'gpt-4o/shots-01',\n", " 'gpt-4o/shots-03',\n", " 'gpt-4o/shots-05',\n", " 'gpt-4o/shots-10',\n", " 'gpt-4o/shots-50'])" ] }, "execution_count": 45, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df[openai_cols] = df_openai[openai_cols]\n", "columns = df.columns.to_list()\n", "result_columns = df.columns[2:].to_list()\n", "result_columns, columns" ] }, { "cell_type": "code", "execution_count": 46, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "RangeIndex: 1133 entries, 0 to 1132\n", "Data columns (total 56 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 chinese 1133 non-null object\n", " 1 english 1133 non-null object\n", " 2 Qwen/Qwen2-72B-Instruct/shots-00 1133 non-null object\n", " 3 Qwen/Qwen2-72B-Instruct/shots-01 1133 non-null object\n", " 4 Qwen/Qwen2-72B-Instruct/shots-03 1133 non-null object\n", " 5 Qwen/Qwen2-72B-Instruct/shots-05 1133 non-null object\n", " 6 Qwen/Qwen2-72B-Instruct/shots-10 1133 non-null object\n", " 7 Qwen/Qwen2-72B-Instruct/shots-50 1133 non-null object\n", " 8 Qwen/Qwen2-7B-Instruct/shots-00 1133 non-null object\n", " 9 Qwen/Qwen2-7B-Instruct/shots-01 1133 non-null object\n", " 10 Qwen/Qwen2-7B-Instruct/shots-03 1133 non-null object\n", " 11 Qwen/Qwen2-7B-Instruct/shots-05 1133 non-null object\n", " 12 Qwen/Qwen2-7B-Instruct/shots-10 1133 non-null object\n", " 13 Qwen/Qwen2-7B-Instruct/shots-50 1133 non-null object\n", " 14 internlm/internlm2_5-7b-chat/shots-00 1133 non-null object\n", " 15 internlm/internlm2_5-7b-chat/shots-01 1133 non-null object\n", " 16 internlm/internlm2_5-7b-chat/shots-03 1133 non-null object\n", " 17 internlm/internlm2_5-7b-chat/shots-05 1133 non-null object\n", " 18 internlm/internlm2_5-7b-chat/shots-10 1133 non-null object\n", " 19 internlm/internlm2_5-7b-chat/shots-50 1133 non-null object\n", " 20 microsoft/Phi-3.5-mini-instruct/shots-00 1133 non-null object\n", " 21 microsoft/Phi-3.5-mini-instruct/shots-01 1133 non-null object\n", " 22 microsoft/Phi-3.5-mini-instruct/shots-03 1133 non-null object\n", " 23 microsoft/Phi-3.5-mini-instruct/shots-05 1133 non-null object\n", " 24 microsoft/Phi-3.5-mini-instruct/shots-10 1133 non-null object\n", " 25 microsoft/Phi-3.5-mini-instruct/shots-50 1133 non-null object\n", " 26 shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00 1133 non-null object\n", " 27 shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01 1133 non-null object\n", " 28 shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-03 1133 non-null object\n", " 29 shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05 1133 non-null object\n", " 30 shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-10 1133 non-null object\n", " 31 shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-50 1133 non-null object\n", " 32 shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-00 1133 non-null object\n", " 33 shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-01 1133 non-null object\n", " 34 shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-03 1133 non-null object\n", " 35 shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05 1133 non-null object\n", " 36 shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10 1133 non-null object\n", " 37 shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50 1133 non-null object\n", " 38 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-00 1133 non-null object\n", " 39 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-01 1133 non-null object\n", " 40 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03 1133 non-null object\n", " 41 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-05 1133 non-null object\n", " 42 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10 1133 non-null object\n", " 43 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-50 1133 non-null object\n", " 44 gpt-4o-mini/shots-00 1133 non-null object\n", " 45 gpt-4o-mini/shots-01 1133 non-null object\n", " 46 gpt-4o-mini/shots-03 1133 non-null object\n", " 47 gpt-4o-mini/shots-05 1133 non-null object\n", " 48 gpt-4o-mini/shots-10 1133 non-null object\n", " 49 gpt-4o-mini/shots-50 1133 non-null object\n", " 50 gpt-4o/shots-00 1133 non-null object\n", " 51 gpt-4o/shots-01 1133 non-null object\n", " 52 gpt-4o/shots-03 1133 non-null object\n", " 53 gpt-4o/shots-05 1133 non-null object\n", " 54 gpt-4o/shots-10 1133 non-null object\n", " 55 gpt-4o/shots-50 1133 non-null object\n", "dtypes: object(56)\n", "memory usage: 495.8+ KB\n" ] } ], "source": [ "df.info()" ] }, { "cell_type": "code", "execution_count": 47, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "['Qwen/Qwen2-72B-Instruct' 'Qwen/Qwen2-7B-Instruct'\n", " 'internlm/internlm2_5-7b-chat' 'microsoft/Phi-3.5-mini-instruct'\n", " 'shenzhi-wang/Llama3.1-70B-Chinese-Chat'\n", " 'shenzhi-wang/Llama3.1-8B-Chinese-Chat'\n", " 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat' 'gpt-4o-mini' 'gpt-4o']\n", "Using existing metrics for Qwen/Qwen2-72B-Instruct/shots-00\n", "Qwen/Qwen2-72B-Instruct/shots-00: {'model': 'Qwen/Qwen2-72B-Instruct', 'shots': 0, 'comet': 0.7323994389015915, 'meteor': 0.4003638205699929, 'spbleu': 12.223832517678616, 'bleu_1': 0.1222383251767861, 'rouge_l': 0.3849609349167738, 'ews_score': 0.0, 'repetition_score': 0.1959399823477493, 'total_repetitions': 0.1959399823477493, 'rap': 0.7262788903344091, 'translation_completeness': 0.9931587561374796, 'num_max_output_tokens': 1, 'eval_time': 8.894969108561341, 'translation_speed': 3.031355427664219}\n", "Using existing metrics for Qwen/Qwen2-72B-Instruct/shots-01\n", "Qwen/Qwen2-72B-Instruct/shots-01: {'model': 'Qwen/Qwen2-72B-Instruct', 'shots': 1, 'comet': 0.7378563016837189, 'meteor': 0.4068727655718769, 'spbleu': 13.151008586303575, 'bleu_1': 0.1315100858630357, 'rouge_l': 0.3945065369349776, 'ews_score': 0.0, 'repetition_score': 0.1579876434245366, 'total_repetitions': 0.1579876434245366, 'rap': 0.7328671763182518, 'translation_completeness': 0.9950572831423896, 'num_max_output_tokens': 1, 'eval_time': 8.983230361871138, 'translation_speed': 3.0015720180782077}\n", "Using existing metrics for Qwen/Qwen2-72B-Instruct/shots-03\n", "Qwen/Qwen2-72B-Instruct/shots-03: {'model': 'Qwen/Qwen2-72B-Instruct', 'shots': 3, 'comet': 0.7384351547166298, 'meteor': 0.4086244766794449, 'spbleu': 13.771788946915247, 'bleu_1': 0.1377178894691525, 'rouge_l': 0.3983952428254399, 'ews_score': 0.0, 'repetition_score': 0.1270962047661076, 'total_repetitions': 0.1270962047661076, 'rap': 0.7344069796679863, 'translation_completeness': 0.9967266775777414, 'num_max_output_tokens': 0, 'eval_time': 11.657546337157989, 'translation_speed': 2.312992125984252}\n", "Using existing metrics for Qwen/Qwen2-72B-Instruct/shots-05\n", "Qwen/Qwen2-72B-Instruct/shots-05: {'model': 'Qwen/Qwen2-72B-Instruct', 'shots': 5, 'comet': 0.7413169018799293, 'meteor': 0.4132330811975005, 'spbleu': 14.397738721508986, 'bleu_1': 0.1439773872150899, 'rouge_l': 0.4038985863315417, 'ews_score': 0.0, 'repetition_score': 0.1191526919682259, 'total_repetitions': 0.1191526919682259, 'rap': 0.7375229736630904, 'translation_completeness': 0.9980032733224222, 'num_max_output_tokens': 0, 'eval_time': 17.167696381288614, 'translation_speed': 1.570613336075266}\n", "Using existing metrics for Qwen/Qwen2-72B-Instruct/shots-10\n", "Qwen/Qwen2-72B-Instruct/shots-10: {'model': 'Qwen/Qwen2-72B-Instruct', 'shots': 10, 'comet': 0.743670300898674, 'meteor': 0.4159817448978902, 'spbleu': 14.493475334416772, 'bleu_1': 0.1449347533441677, 'rouge_l': 0.4065172849595586, 'ews_score': 0.0, 'repetition_score': 0.0962047661076787, 'total_repetitions': 0.0962047661076787, 'rap': 0.7405908131128994, 'translation_completeness': 0.9988216039279868, 'num_max_output_tokens': 0, 'eval_time': 29.728155339805824, 'translation_speed': 0.9070126477050056}\n", "Using existing metrics for Qwen/Qwen2-72B-Instruct/shots-50\n", "Qwen/Qwen2-72B-Instruct/shots-50: {'model': 'Qwen/Qwen2-72B-Instruct', 'shots': 50, 'comet': 0.748192870159225, 'meteor': 0.4401536409204816, 'spbleu': 15.386348939006842, 'bleu_1': 0.1538634893900684, 'rouge_l': 0.4171305101782003, 'ews_score': 0.0, 'repetition_score': 0.1015004413062665, 'total_repetitions': 0.1015004413062665, 'rap': 0.7449257100618722, 'translation_completeness': 0.9969558101472996, 'num_max_output_tokens': 0, 'eval_time': 112.50397175639894, 'translation_speed': 0.2396698753402841}\n", "Using existing metrics for Qwen/Qwen2-7B-Instruct/shots-00\n", "Qwen/Qwen2-7B-Instruct/shots-00: {'model': 'Qwen/Qwen2-7B-Instruct', 'shots': 0, 'comet': 0.7170163004511979, 'meteor': 0.377477070949433, 'spbleu': 11.783492823424512, 'bleu_1': 0.117834928234245, 'rouge_l': 0.3684088481780265, 'ews_score': 0.0, 'repetition_score': 0.0714916151809355, 'total_repetitions': 0.0714916151809355, 'rap': 0.7148048404482328, 'translation_completeness': 0.9823567921440262, 'num_max_output_tokens': 0, 'eval_time': 0.9805825242718448, 'translation_speed': 27.497749774977496}\n", "Using existing metrics for Qwen/Qwen2-7B-Instruct/shots-01\n", "Qwen/Qwen2-7B-Instruct/shots-01: {'model': 'Qwen/Qwen2-7B-Instruct', 'shots': 1, 'comet': 0.7265785399360775, 'meteor': 0.3800075297109788, 'spbleu': 11.73191739283762, 'bleu_1': 0.1173191739283762, 'rouge_l': 0.3715747023136954, 'ews_score': 0.0, 'repetition_score': 0.0741394527802294, 'total_repetitions': 0.0741394527802294, 'rap': 0.7242551595498007, 'translation_completeness': 0.9911947626841244, 'num_max_output_tokens': 0, 'eval_time': 1.0529567519858782, 'translation_speed': 25.607711651299244}\n", "Using existing metrics for Qwen/Qwen2-7B-Instruct/shots-03\n", "Qwen/Qwen2-7B-Instruct/shots-03: {'model': 'Qwen/Qwen2-7B-Instruct', 'shots': 3, 'comet': 0.7319961582151853, 'meteor': 0.3867818099966074, 'spbleu': 12.368875746156336, 'bleu_1': 0.1236887574615633, 'rouge_l': 0.3779325862970922, 'ews_score': 0.0, 'repetition_score': 0.1412180052956752, 'total_repetitions': 0.1412180052956752, 'rap': 0.7275651996961823, 'translation_completeness': 0.9964648117839608, 'num_max_output_tokens': 0, 'eval_time': 1.6010591350397176, 'translation_speed': 16.8412348401323}\n", "Using existing metrics for Qwen/Qwen2-7B-Instruct/shots-05\n", "Qwen/Qwen2-7B-Instruct/shots-05: {'model': 'Qwen/Qwen2-7B-Instruct', 'shots': 5, 'comet': 0.7349877990880901, 'meteor': 0.3878485637138956, 'spbleu': 12.277254698204828, 'bleu_1': 0.1227725469820483, 'rouge_l': 0.3823831889976058, 'ews_score': 0.0, 'repetition_score': 0.0917917034421888, 'total_repetitions': 0.0917917034421888, 'rap': 0.7320826914385974, 'translation_completeness': 0.9968903436988544, 'num_max_output_tokens': 0, 'eval_time': 2.2894969108561343, 'translation_speed': 11.77717810331534}\n", "Using existing metrics for Qwen/Qwen2-7B-Instruct/shots-10\n", "Qwen/Qwen2-7B-Instruct/shots-10: {'model': 'Qwen/Qwen2-7B-Instruct', 'shots': 10, 'comet': 0.7340349039985138, 'meteor': 0.3852648434675709, 'spbleu': 12.535252418966952, 'bleu_1': 0.1253525241896695, 'rouge_l': 0.381753172446726, 'ews_score': 0.0, 'repetition_score': 0.1032656663724624, 'total_repetitions': 0.1032656663724624, 'rap': 0.7307743547456933, 'translation_completeness': 0.9978068739770868, 'num_max_output_tokens': 0, 'eval_time': 4.006178287731686, 'translation_speed': 6.730557391495924}\n", "Using existing metrics for Qwen/Qwen2-7B-Instruct/shots-50\n", "Qwen/Qwen2-7B-Instruct/shots-50: {'model': 'Qwen/Qwen2-7B-Instruct', 'shots': 50, 'comet': 0.7385718264047382, 'meteor': 0.3953455943001352, 'spbleu': 12.949951844499925, 'bleu_1': 0.1294995184449993, 'rouge_l': 0.3901615540626552, 'ews_score': 0.0, 'repetition_score': 0.1006178287731685, 'total_repetitions': 0.1006178287731685, 'rap': 0.7353744628994691, 'translation_completeness': 0.998887070376432, 'num_max_output_tokens': 0, 'eval_time': 17.46425419240953, 'translation_speed': 1.5439429928741093}\n", "Using existing metrics for internlm/internlm2_5-7b-chat/shots-00\n", "internlm/internlm2_5-7b-chat/shots-00: {'model': 'internlm/internlm2_5-7b-chat', 'shots': 0, 'comet': 0.7173527442609328, 'meteor': 0.3681679996079307, 'spbleu': 11.360521358693171, 'bleu_1': 0.1136052135869317, 'rouge_l': 0.3601424483470814, 'ews_score': 0.0, 'repetition_score': 0.2144748455428067, 'total_repetitions': 0.2144748455428067, 'rap': 0.7108019626243527, 'translation_completeness': 0.9930278232405892, 'num_max_output_tokens': 0, 'eval_time': 1.2241835834068844, 'translation_speed': 22.02595529920692}\n", "Using existing metrics for internlm/internlm2_5-7b-chat/shots-01\n", "internlm/internlm2_5-7b-chat/shots-01: {'model': 'internlm/internlm2_5-7b-chat', 'shots': 1, 'comet': 0.7185423540811252, 'meteor': 0.3719587471180722, 'spbleu': 11.57707566176535, 'bleu_1': 0.1157707566176535, 'rouge_l': 0.3637170649309587, 'ews_score': 0.0, 'repetition_score': 0.1403353927625772, 'total_repetitions': 0.1403353927625772, 'rap': 0.714219668401247, 'translation_completeness': 0.994860883797054, 'num_max_output_tokens': 0, 'eval_time': 1.3124448367166814, 'translation_speed': 20.54472091459314}\n", "Using existing metrics for internlm/internlm2_5-7b-chat/shots-03\n", "internlm/internlm2_5-7b-chat/shots-03: {'model': 'internlm/internlm2_5-7b-chat', 'shots': 3, 'comet': 0.7233535815605734, 'meteor': 0.3747105229822289, 'spbleu': 11.54826016668525, 'bleu_1': 0.1154826016668525, 'rouge_l': 0.3683341025809539, 'ews_score': 0.0, 'repetition_score': 0.1774051191526919, 'total_repetitions': 0.1774051191526919, 'rap': 0.7178711548454733, 'translation_completeness': 0.9936170212765958, 'num_max_output_tokens': 0, 'eval_time': 1.8578993821712269, 'translation_speed': 14.513064133016629}\n", "Using existing metrics for internlm/internlm2_5-7b-chat/shots-05\n", "internlm/internlm2_5-7b-chat/shots-05: {'model': 'internlm/internlm2_5-7b-chat', 'shots': 5, 'comet': 0.7235410001987077, 'meteor': 0.3728556238450597, 'spbleu': 11.541534709366404, 'bleu_1': 0.115415347093664, 'rouge_l': 0.3681602896894704, 'ews_score': 0.0, 'repetition_score': 0.1482789055604589, 'total_repetitions': 0.1482789055604589, 'rap': 0.7189452187748315, 'translation_completeness': 0.9951554828150572, 'num_max_output_tokens': 0, 'eval_time': 2.860547219770521, 'translation_speed': 9.426103054612772}\n", "Using existing metrics for internlm/internlm2_5-7b-chat/shots-10\n", "internlm/internlm2_5-7b-chat/shots-10: {'model': 'internlm/internlm2_5-7b-chat', 'shots': 10, 'comet': 0.7256181436177386, 'meteor': 0.3750895095392996, 'spbleu': 11.696492920010636, 'bleu_1': 0.1169649292001063, 'rouge_l': 0.368147651257135, 'ews_score': 0.0, 'repetition_score': 0.1306266548984995, 'total_repetitions': 0.1306266548984995, 'rap': 0.7215512566592377, 'translation_completeness': 0.9934206219312602, 'num_max_output_tokens': 0, 'eval_time': 5.722859664607237, 'translation_speed': 4.711597779148674}\n", "Using existing metrics for internlm/internlm2_5-7b-chat/shots-50\n", "internlm/internlm2_5-7b-chat/shots-50: {'model': 'internlm/internlm2_5-7b-chat', 'shots': 50, 'comet': 0.7117369939874783, 'meteor': 0.372130698717166, 'spbleu': 11.404688073207245, 'bleu_1': 0.1140468807320724, 'rouge_l': 0.3624940415496647, 'ews_score': 0.0, 'repetition_score': 0.1685789938217122, 'total_repetitions': 0.1685789938217122, 'rap': 0.7066068398348347, 'translation_completeness': 0.9490671031096564, 'num_max_output_tokens': 8, 'eval_time': 42.29214474845543, 'translation_speed': 0.637560782185863}\n", "Using existing metrics for microsoft/Phi-3.5-mini-instruct/shots-00\n", "microsoft/Phi-3.5-mini-instruct/shots-00: {'model': 'microsoft/Phi-3.5-mini-instruct', 'shots': 0, 'comet': 0.6638019421357343, 'meteor': 0.2887489412621193, 'spbleu': 6.616685578503521, 'bleu_1': 0.0661668557850352, 'rouge_l': 0.2920526346172508, 'ews_score': 0.0, 'repetition_score': 0.1359223300970873, 'total_repetitions': 0.1359223300970873, 'rap': 0.6599325766430406, 'translation_completeness': 0.9942716857610474, 'num_max_output_tokens': 0, 'eval_time': 0.9832303618711384, 'translation_speed': 27.42369838420108}\n", "Using existing metrics for microsoft/Phi-3.5-mini-instruct/shots-01\n", "microsoft/Phi-3.5-mini-instruct/shots-01: {'model': 'microsoft/Phi-3.5-mini-instruct', 'shots': 1, 'comet': 0.6667380809573504, 'meteor': 0.2901428670692807, 'spbleu': 6.816154957710928, 'bleu_1': 0.0681615495771093, 'rouge_l': 0.2915775022756176, 'ews_score': 0.0, 'repetition_score': 0.7157987643424537, 'total_repetitions': 0.7157987643424537, 'rap': 0.6473030972361107, 'translation_completeness': 0.9762684124386252, 'num_max_output_tokens': 6, 'eval_time': 1.207413945278023, 'translation_speed': 22.33187134502924}\n", "Using existing metrics for microsoft/Phi-3.5-mini-instruct/shots-03\n", "microsoft/Phi-3.5-mini-instruct/shots-03: {'model': 'microsoft/Phi-3.5-mini-instruct', 'shots': 3, 'comet': 0.6797555840499403, 'meteor': 0.3022278533867783, 'spbleu': 7.280006492227499, 'bleu_1': 0.0728000649222749, 'rouge_l': 0.3055928061108682, 'ews_score': 0.0, 'repetition_score': 0.1147396293027361, 'total_repetitions': 0.1147396293027361, 'rap': 0.6764041989113043, 'translation_completeness': 0.9993453355155484, 'num_max_output_tokens': 0, 'eval_time': 1.5966460723742275, 'translation_speed': 16.887783305693752}\n", "Using existing metrics for microsoft/Phi-3.5-mini-instruct/shots-05\n", "microsoft/Phi-3.5-mini-instruct/shots-05: {'model': 'microsoft/Phi-3.5-mini-instruct', 'shots': 5, 'comet': 0.6794949329383375, 'meteor': 0.3014257406205097, 'spbleu': 7.355236522391326, 'bleu_1': 0.0735523652239132, 'rouge_l': 0.3069653800311355, 'ews_score': 0.0, 'repetition_score': 1.3071491615180937, 'total_repetitions': 1.3071491615180937, 'rap': 0.6450780077261484, 'translation_completeness': 0.9974468085106384, 'num_max_output_tokens': 1, 'eval_time': 2.93027360988526, 'translation_speed': 9.201807228915662}\n", "Using existing metrics for microsoft/Phi-3.5-mini-instruct/shots-10\n", "microsoft/Phi-3.5-mini-instruct/shots-10: {'model': 'microsoft/Phi-3.5-mini-instruct', 'shots': 10, 'comet': 0.6859478155859571, 'meteor': 0.3046684225151377, 'spbleu': 7.609683899723242, 'bleu_1': 0.0760968389972324, 'rouge_l': 0.3119023213599974, 'ews_score': 0.0, 'repetition_score': 0.0635481023830538, 'total_repetitions': 0.0635481023830538, 'rap': 0.6840658636522721, 'translation_completeness': 0.9963338788870704, 'num_max_output_tokens': 0, 'eval_time': 6.857899382171227, 'translation_speed': 3.9317889317889314}\n", "Using existing metrics for microsoft/Phi-3.5-mini-instruct/shots-50\n", "microsoft/Phi-3.5-mini-instruct/shots-50: {'model': 'microsoft/Phi-3.5-mini-instruct', 'shots': 50, 'comet': 0.6781455489090872, 'meteor': 0.2996162339680337, 'spbleu': 7.225021557978674, 'bleu_1': 0.0722502155797867, 'rouge_l': 0.306727459108733, 'ews_score': 0.0, 'repetition_score': 0.1059135039717564, 'total_repetitions': 0.1059135039717564, 'rap': 0.6750567747832614, 'translation_completeness': 0.994533551554828, 'num_max_output_tokens': 0, 'eval_time': 59.48808473080318, 'translation_speed': 0.4532640949554896}\n", "Using existing metrics for shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: {'model': 'shenzhi-wang/Llama3.1-70B-Chinese-Chat', 'shots': 0, 'comet': 0.7171461749213623, 'meteor': 0.3638704024273502, 'spbleu': 10.874677881601093, 'bleu_1': 0.1087467788160109, 'rouge_l': 0.3530220274414828, 'ews_score': 0.0, 'repetition_score': 0.1544571932921447, 'total_repetitions': 0.1544571932921447, 'rap': 0.7124039064752401, 'translation_completeness': 0.9785597381342064, 'num_max_output_tokens': 0, 'eval_time': 7.8331862312444835, 'translation_speed': 3.4422535211267604}\n", "Using existing metrics for shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01: {'model': 'shenzhi-wang/Llama3.1-70B-Chinese-Chat', 'shots': 1, 'comet': 0.7263905781091891, 'meteor': 0.3795676454378308, 'spbleu': 11.805442002282652, 'bleu_1': 0.1180544200228265, 'rouge_l': 0.3695718635256434, 'ews_score': 0.0, 'repetition_score': 0.1253309796999117, 'total_repetitions': 0.1253309796999117, 'rap': 0.7224825051800801, 'translation_completeness': 0.9919476268412438, 'num_max_output_tokens': 0, 'eval_time': 8.307149161518094, 'translation_speed': 3.24585635359116}\n", "Using existing metrics for shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-03\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-03: {'model': 'shenzhi-wang/Llama3.1-70B-Chinese-Chat', 'shots': 3, 'comet': 0.7314230202707903, 'meteor': 0.3862248341187624, 'spbleu': 12.306660851355092, 'bleu_1': 0.1230666085135509, 'rouge_l': 0.3743666075712579, 'ews_score': 0.0, 'repetition_score': 0.1438658428949691, 'total_repetitions': 0.1438658428949691, 'rap': 0.7269136139640887, 'translation_completeness': 0.99518821603928, 'num_max_output_tokens': 0, 'eval_time': 11.681376875551631, 'translation_speed': 2.3082735171892708}\n", "Using existing metrics for shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05: {'model': 'shenzhi-wang/Llama3.1-70B-Chinese-Chat', 'shots': 5, 'comet': 0.7336933644914249, 'meteor': 0.3895488616778815, 'spbleu': 12.582029733797498, 'bleu_1': 0.1258202973379749, 'rouge_l': 0.3779029605322951, 'ews_score': 0.0, 'repetition_score': 0.1438658428949691, 'total_repetitions': 0.1438658428949691, 'rap': 0.7291699609433688, 'translation_completeness': 0.9936170212765958, 'num_max_output_tokens': 0, 'eval_time': 17.23389232127096, 'translation_speed': 1.5645805592543276}\n", "Using existing metrics for shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-10\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-10: {'model': 'shenzhi-wang/Llama3.1-70B-Chinese-Chat', 'shots': 10, 'comet': 0.7354650123921097, 'meteor': 0.3897515010230098, 'spbleu': 12.95700840171569, 'bleu_1': 0.1295700840171569, 'rouge_l': 0.3799672181286622, 'ews_score': 0.0, 'repetition_score': 0.1262135922330097, 'total_repetitions': 0.1262135922330097, 'rap': 0.7314805764516299, 'translation_completeness': 0.9953518821603928, 'num_max_output_tokens': 0, 'eval_time': nan, 'translation_speed': nan}\n", "Using existing metrics for shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-50\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-50: {'model': 'shenzhi-wang/Llama3.1-70B-Chinese-Chat', 'shots': 50, 'comet': 0.7389746893851608, 'meteor': 0.3995436303983282, 'spbleu': 13.257849425544707, 'bleu_1': 0.132578494255447, 'rouge_l': 0.3876509685906058, 'ews_score': 0.0, 'repetition_score': 0.1323918799646955, 'total_repetitions': 0.1323918799646955, 'rap': 0.7347776554365202, 'translation_completeness': 0.9964975450081832, 'num_max_output_tokens': 0, 'eval_time': 117.98411297440424, 'translation_speed': 0.2285376582183787}\n", "Using existing metrics for shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-00\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-00: {'model': 'shenzhi-wang/Llama3.1-8B-Chinese-Chat', 'shots': 0, 'comet': 0.7005859187558385, 'meteor': 0.3476217085789916, 'spbleu': 9.799438963103269, 'bleu_1': 0.0979943896310326, 'rouge_l': 0.3345988869215145, 'ews_score': 0.0, 'repetition_score': 2.216240070609002, 'total_repetitions': 2.216240070609002, 'rap': 0.644550290028033, 'translation_completeness': 0.9909328968903436, 'num_max_output_tokens': 2, 'eval_time': 1.0750220653133276, 'translation_speed': 25.082101806239734}\n", "Using existing metrics for shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-01\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-01: {'model': 'shenzhi-wang/Llama3.1-8B-Chinese-Chat', 'shots': 1, 'comet': 0.7085069782920149, 'meteor': 0.354307945342928, 'spbleu': 10.438367949419074, 'bleu_1': 0.1043836794941907, 'rouge_l': 0.3435278907537428, 'ews_score': 0.0, 'repetition_score': 0.1950573698146513, 'total_repetitions': 0.1950573698146513, 'rap': 0.7026122902349132, 'translation_completeness': 0.9919148936170212, 'num_max_output_tokens': 0, 'eval_time': 1.1571050308914386, 'translation_speed': 23.30282227307399}\n", "Using existing metrics for shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-03\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-03: {'model': 'shenzhi-wang/Llama3.1-8B-Chinese-Chat', 'shots': 3, 'comet': 0.7180304118651578, 'meteor': 0.3600739839089376, 'spbleu': 10.709900175348611, 'bleu_1': 0.1070990017534861, 'rouge_l': 0.3513060827932234, 'ews_score': 0.0, 'repetition_score': 0.1482789055604589, 'total_repetitions': 0.1482789055604589, 'rap': 0.713469632548268, 'translation_completeness': 0.9753191489361702, 'num_max_output_tokens': 0, 'eval_time': 1.9814651368049427, 'translation_speed': 13.608017817371936}\n", "Using existing metrics for shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05: {'model': 'shenzhi-wang/Llama3.1-8B-Chinese-Chat', 'shots': 5, 'comet': 0.7182132229669265, 'meteor': 0.3623190491553952, 'spbleu': 11.204735364530888, 'bleu_1': 0.1120473536453089, 'rouge_l': 0.3554643281562488, 'ews_score': 0.0, 'repetition_score': 0.1579876434245366, 'total_repetitions': 0.1579876434245366, 'rap': 0.7133569172061144, 'translation_completeness': 0.9789198036006548, 'num_max_output_tokens': 0, 'eval_time': 2.8146513680494265, 'translation_speed': 9.579805581687047}\n", "Using existing metrics for shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: {'model': 'shenzhi-wang/Llama3.1-8B-Chinese-Chat', 'shots': 10, 'comet': 0.7156280800765947, 'meteor': 0.3615257973929306, 'spbleu': 10.12522650102182, 'bleu_1': 0.1012522650102181, 'rouge_l': 0.3533299396410973, 'ews_score': 0.0, 'repetition_score': 0.8314210061782877, 'total_repetitions': 0.8314210061782877, 'rap': 0.6916383034541322, 'translation_completeness': 0.8980360065466448, 'num_max_output_tokens': 22, 'eval_time': nan, 'translation_speed': nan}\n", "Using existing metrics for shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: {'model': 'shenzhi-wang/Llama3.1-8B-Chinese-Chat', 'shots': 50, 'comet': 0.7013461592706661, 'meteor': 0.3585645698715907, 'spbleu': 8.42953362186783, 'bleu_1': 0.0842953362186783, 'rouge_l': 0.3414716561928438, 'ews_score': 0.0, 'repetition_score': 0.1509267431597528, 'total_repetitions': 0.1509267431597528, 'rap': 0.6968129080044743, 'translation_completeness': 0.6605891980360066, 'num_max_output_tokens': 70, 'eval_time': 41.86672550750221, 'translation_speed': 0.6440392115526509}\n", "Using existing metrics for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-00\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-00: {'model': 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat', 'shots': 0, 'comet': 0.6896163617891226, 'meteor': 0.3284997502705771, 'spbleu': 8.313795089297473, 'bleu_1': 0.0831379508929747, 'rouge_l': 0.3182652020106509, 'ews_score': 0.0, 'repetition_score': 0.1279788172992056, 'total_repetitions': 0.1279788172992056, 'rap': 0.6858286779028304, 'translation_completeness': 0.9892307692307692, 'num_max_output_tokens': 0, 'eval_time': 1.204766107678729, 'translation_speed': 22.38095238095238}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:344: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", " df[new_col] = df[col].apply(lambda x: len(tokenizers[model](x)[\"input_ids\"]))\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Using existing metrics for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-01\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-01: {'model': 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat', 'shots': 1, 'comet': 0.6940417135856053, 'meteor': 0.3342115436248988, 'spbleu': 8.857909016110346, 'bleu_1': 0.0885790901611034, 'rouge_l': 0.3237732530256791, 'ews_score': 0.0, 'repetition_score': 0.6690203000882613, 'total_repetitions': 0.6690203000882613, 'rap': 0.6750560711204424, 'translation_completeness': 0.9757774140752864, 'num_max_output_tokens': 1, 'eval_time': 1.4819064430714917, 'translation_speed': 18.195354377605717}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:338: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", " df[new_col] = df[col].apply(\n", "/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:344: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", " df[new_col] = df[col].apply(lambda x: len(tokenizers[model](x)[\"input_ids\"]))\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Using existing metrics for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03: {'model': 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat', 'shots': 3, 'comet': 0.7063107033377712, 'meteor': 0.3435621946945506, 'spbleu': 9.605927100886705, 'bleu_1': 0.0960592710088669, 'rouge_l': 0.3339588738133581, 'ews_score': 0.0, 'repetition_score': 0.1262135922330097, 'total_repetitions': 0.1262135922330097, 'rap': 0.7024842130165374, 'translation_completeness': 0.9850081833060556, 'num_max_output_tokens': 0, 'eval_time': 2.262135922330097, 'translation_speed': 11.919625438938745}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:338: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", " df[new_col] = df[col].apply(\n", "/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:344: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", " df[new_col] = df[col].apply(lambda x: len(tokenizers[model](x)[\"input_ids\"]))\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Using existing metrics for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-05\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-05: {'model': 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat', 'shots': 5, 'comet': 0.7087474021754849, 'meteor': 0.3442907813548128, 'spbleu': 9.63848959136177, 'bleu_1': 0.0963848959136177, 'rouge_l': 0.3379636705249011, 'ews_score': 0.0, 'repetition_score': 0.0759046778464254, 'total_repetitions': 0.0759046778464254, 'rap': 0.7064274589072622, 'translation_completeness': 0.9828150572831424, 'num_max_output_tokens': 2, 'eval_time': 3.388349514563106, 'translation_speed': 7.957801510810107}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:338: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", " df[new_col] = df[col].apply(\n", "/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:344: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", " df[new_col] = df[col].apply(lambda x: len(tokenizers[model](x)[\"input_ids\"]))\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Using existing metrics for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: {'model': 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat', 'shots': 10, 'comet': 0.7019346492383086, 'meteor': 0.3408431061510028, 'spbleu': 9.735670499814129, 'bleu_1': 0.0973567049981412, 'rouge_l': 0.3332172649221728, 'ews_score': 0.0, 'repetition_score': 0.1041482789055604, 'total_repetitions': 0.1041482789055604, 'rap': 0.698790294939515, 'translation_completeness': 0.9526350245499182, 'num_max_output_tokens': 11, 'eval_time': 6.558693733451015, 'translation_speed': 4.111155968241151}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:338: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", " df[new_col] = df[col].apply(\n", "/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:344: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", " df[new_col] = df[col].apply(lambda x: len(tokenizers[model](x)[\"input_ids\"]))\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Using existing metrics for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-50\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-50: {'model': 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat', 'shots': 50, 'comet': 0.7087449092362059, 'meteor': 0.3618420136848922, 'spbleu': 10.486402903058105, 'bleu_1': 0.104864029030581, 'rouge_l': 0.3452121802577369, 'ews_score': 0.0, 'repetition_score': 0.5136804942630185, 'total_repetitions': 0.5136804942630185, 'rap': 0.6936546093645056, 'translation_completeness': 0.9847463175122748, 'num_max_output_tokens': 2, 'eval_time': 29.659311562224183, 'translation_speed': 0.9091179621473634}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:338: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", " df[new_col] = df[col].apply(\n", "/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:344: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", " df[new_col] = df[col].apply(lambda x: len(tokenizers[model](x)[\"input_ids\"]))\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Using existing metrics for gpt-4o-mini/shots-00\n", "gpt-4o-mini/shots-00: {'model': 'gpt-4o-mini', 'shots': 0, 'comet': 0.7258849281814387, 'meteor': 0.3797696357415517, 'spbleu': 12.082383890185962, 'bleu_1': 0.1208238389018596, 'rouge_l': 0.3707413600391117, 'ews_score': 0.0, 'repetition_score': 0.0953221535745807, 'total_repetitions': 0.0953221535745807, 'rap': 0.7229064219031949, 'translation_completeness': 0.9925040916530278, 'num_max_output_tokens': 0, 'eval_time': 1.5939982347749335, 'translation_speed': 16.915836101882615}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:333: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", " df[new_col] = df[\"english\"].apply(\n", "/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:338: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", " df[new_col] = df[col].apply(\n", "/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:344: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", " df[new_col] = df[col].apply(lambda x: len(tokenizers[model](x)[\"input_ids\"]))\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Using existing metrics for gpt-4o-mini/shots-01\n", "gpt-4o-mini/shots-01: {'model': 'gpt-4o-mini', 'shots': 1, 'comet': 0.7269926605399267, 'meteor': 0.3772141442435719, 'spbleu': 12.013402254992751, 'bleu_1': 0.1201340225499275, 'rouge_l': 0.367264190428157, 'ews_score': 0.0, 'repetition_score': 0.0917917034421888, 'total_repetitions': 0.0917917034421888, 'rap': 0.7241191544193082, 'translation_completeness': 0.9843207855973812, 'num_max_output_tokens': 0, 'eval_time': 1.5666372462488969, 'translation_speed': 17.211267605633804}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:338: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", " df[new_col] = df[col].apply(\n", "/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:344: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", " df[new_col] = df[col].apply(lambda x: len(tokenizers[model](x)[\"input_ids\"]))\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Using existing metrics for gpt-4o-mini/shots-03\n", "gpt-4o-mini/shots-03: {'model': 'gpt-4o-mini', 'shots': 3, 'comet': 0.7277929033469228, 'meteor': 0.3772985230936086, 'spbleu': 12.400311006855896, 'bleu_1': 0.1240031100685589, 'rouge_l': 0.3677492589934952, 'ews_score': 0.0, 'repetition_score': 0.0917917034421888, 'total_repetitions': 0.0917917034421888, 'rap': 0.7249162341921656, 'translation_completeness': 0.965139116202946, 'num_max_output_tokens': 0, 'eval_time': 1.2868490732568405, 'translation_speed': 20.953360768175585}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:338: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", " df[new_col] = df[col].apply(\n", "/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:344: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", " df[new_col] = df[col].apply(lambda x: len(tokenizers[model](x)[\"input_ids\"]))\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Using existing metrics for gpt-4o-mini/shots-05\n", "gpt-4o-mini/shots-05: {'model': 'gpt-4o-mini', 'shots': 5, 'comet': 0.7177692222731995, 'meteor': 0.3554182104669126, 'spbleu': 12.024643262748008, 'bleu_1': 0.1202464326274801, 'rouge_l': 0.3471909406581475, 'ews_score': 0.0, 'repetition_score': 0.0503089143865842, 'total_repetitions': 0.0503089143865842, 'rap': 0.7162083101566483, 'translation_completeness': 0.9252700490998363, 'num_max_output_tokens': 0, 'eval_time': 1.203883495145631, 'translation_speed': 22.39736070381232}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:338: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", " df[new_col] = df[col].apply(\n", "/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:344: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", " df[new_col] = df[col].apply(lambda x: len(tokenizers[model](x)[\"input_ids\"]))\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Using existing metrics for gpt-4o-mini/shots-10\n", "gpt-4o-mini/shots-10: {'model': 'gpt-4o-mini', 'shots': 10, 'comet': 0.7269678439119698, 'meteor': 0.3733596890352109, 'spbleu': 12.57600824824953, 'bleu_1': 0.1257600824824953, 'rouge_l': 0.3656348018621609, 'ews_score': 0.0, 'repetition_score': 0.0706090026478376, 'total_repetitions': 0.0706090026478376, 'rap': 0.7247531905439105, 'translation_completeness': 0.964582651391162, 'num_max_output_tokens': 0, 'eval_time': 1.1879964695498677, 'translation_speed': 22.696879643387813}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:338: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", " df[new_col] = df[col].apply(\n", "/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:344: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", " df[new_col] = df[col].apply(lambda x: len(tokenizers[model](x)[\"input_ids\"]))\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Using existing metrics for gpt-4o-mini/shots-50\n", "gpt-4o-mini/shots-50: {'model': 'gpt-4o-mini', 'shots': 50, 'comet': 0.7370917055844629, 'meteor': 0.4044690970661121, 'spbleu': 13.97288392022252, 'bleu_1': 0.1397288392022251, 'rouge_l': 0.391358768110119, 'ews_score': 0.0, 'repetition_score': 0.0847308031774051, 'total_repetitions': 0.0847308031774051, 'rap': 0.7344006340989119, 'translation_completeness': 0.985139116202946, 'num_max_output_tokens': 0, 'eval_time': 1.289496910856134, 'translation_speed': 20.910335386721425}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:338: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", " df[new_col] = df[col].apply(\n", "/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:344: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", " df[new_col] = df[col].apply(lambda x: len(tokenizers[model](x)[\"input_ids\"]))\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Using existing metrics for gpt-4o/shots-00\n", "gpt-4o/shots-00: {'model': 'gpt-4o', 'shots': 0, 'comet': 0.7258260225365883, 'meteor': 0.3797419877414444, 'spbleu': 12.054600115274576, 'bleu_1': 0.1205460011527457, 'rouge_l': 0.3705489216815255, 'ews_score': 0.0, 'repetition_score': 0.0953221535745807, 'total_repetitions': 0.0953221535745807, 'rap': 0.7228477579644693, 'translation_completeness': 0.9915875613747954, 'num_max_output_tokens': 0, 'eval_time': 1.528684907325684, 'translation_speed': 17.638568129330253}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:333: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", " df[new_col] = df[\"english\"].apply(\n", "/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:338: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", " df[new_col] = df[col].apply(\n", "/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:344: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", " df[new_col] = df[col].apply(lambda x: len(tokenizers[model](x)[\"input_ids\"]))\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Using existing metrics for gpt-4o/shots-01\n", "gpt-4o/shots-01: {'model': 'gpt-4o', 'shots': 1, 'comet': 0.7268822352810445, 'meteor': 0.3758858653859186, 'spbleu': 12.049862468096046, 'bleu_1': 0.1204986246809604, 'rouge_l': 0.365728063421443, 'ews_score': 0.0, 'repetition_score': 0.0917917034421888, 'total_repetitions': 0.0917917034421888, 'rap': 0.7240091656265342, 'translation_completeness': 0.9833715220949264, 'num_max_output_tokens': 0, 'eval_time': 1.203883495145631, 'translation_speed': 22.39736070381232}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:338: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", " df[new_col] = df[col].apply(\n", "/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:344: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", " df[new_col] = df[col].apply(lambda x: len(tokenizers[model](x)[\"input_ids\"]))\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Using existing metrics for gpt-4o/shots-03\n", "gpt-4o/shots-03: {'model': 'gpt-4o', 'shots': 3, 'comet': 0.7274963301520166, 'meteor': 0.3768512103553621, 'spbleu': 12.408746322526747, 'bleu_1': 0.1240874632252674, 'rouge_l': 0.3667272136668487, 'ews_score': 0.0, 'repetition_score': 0.0935569285083848, 'total_repetitions': 0.0935569285083848, 'rap': 0.7245660135994466, 'translation_completeness': 0.9619312602291326, 'num_max_output_tokens': 0, 'eval_time': 2.05207413945278, 'translation_speed': 13.139784946236558}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:338: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", " df[new_col] = df[col].apply(\n", "/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:344: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", " df[new_col] = df[col].apply(lambda x: len(tokenizers[model](x)[\"input_ids\"]))\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Using existing metrics for gpt-4o/shots-05\n", "gpt-4o/shots-05: {'model': 'gpt-4o', 'shots': 5, 'comet': 0.7172424372117917, 'meteor': 0.3577254491514565, 'spbleu': 12.169683347842026, 'bleu_1': 0.1216968334784202, 'rouge_l': 0.3481527356516002, 'ews_score': 0.0, 'repetition_score': 0.0353045013239188, 'total_repetitions': 0.0353045013239188, 'rap': 0.7161463359823222, 'translation_completeness': 0.925368248772504, 'num_max_output_tokens': 0, 'eval_time': 1.6840247131509267, 'translation_speed': 16.01153039832285}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:338: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", " df[new_col] = df[col].apply(\n", "/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:344: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", " df[new_col] = df[col].apply(lambda x: len(tokenizers[model](x)[\"input_ids\"]))\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Using existing metrics for gpt-4o/shots-10\n", "gpt-4o/shots-10: {'model': 'gpt-4o', 'shots': 10, 'comet': 0.7282484519408008, 'meteor': 0.3746444651189953, 'spbleu': 12.498238983123713, 'bleu_1': 0.1249823898312371, 'rouge_l': 0.3671774628311172, 'ews_score': 0.0, 'repetition_score': 0.0706090026478376, 'total_repetitions': 0.0706090026478376, 'rap': 0.7260298972958035, 'translation_completeness': 0.9679214402618658, 'num_max_output_tokens': 0, 'eval_time': 1.7899382171226832, 'translation_speed': 15.064102564102562}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:338: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", " df[new_col] = df[col].apply(\n", "/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:344: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", " df[new_col] = df[col].apply(lambda x: len(tokenizers[model](x)[\"input_ids\"]))\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Using existing metrics for gpt-4o/shots-50\n", "gpt-4o/shots-50: {'model': 'gpt-4o', 'shots': 50, 'comet': 0.7361748941893717, 'meteor': 0.4041393325274495, 'spbleu': 13.782450337569063, 'bleu_1': 0.1378245033756906, 'rouge_l': 0.3906084995950676, 'ews_score': 0.0, 'repetition_score': 0.0759046778464254, 'total_repetitions': 0.0759046778464254, 'rap': 0.7337651724961888, 'translation_completeness': 0.9833060556464812, 'num_max_output_tokens': 0, 'eval_time': 2.025595763459841, 'translation_speed': 13.311546840958606}\n", "CPU times: user 30.7 s, sys: 411 ms, total: 31.1 s\n", "Wall time: 33.4 s\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:338: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", " df[new_col] = df[col].apply(\n", "/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:344: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", " df[new_col] = df[col].apply(lambda x: len(tokenizers[model](x)[\"input_ids\"]))\n" ] }, { "data": { "text/html": [ "
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modelshotscometmeteorspbleubleu_1rouge_lews_scorerepetition_scoretotal_repetitionsraptranslation_completenessnum_max_output_tokens
0Qwen/Qwen2-72B-Instruct00.7323990.40036412.2238330.1222380.3849610.00.1959400.1959400.7262790.9673431
1Qwen/Qwen2-72B-Instruct10.7378560.40687313.1510090.1315100.3945070.00.1579880.1579880.7328670.9805831
2Qwen/Qwen2-72B-Instruct30.7384350.40862413.7717890.1377180.3983950.00.1270960.1270960.7344070.9876430
3Qwen/Qwen2-72B-Instruct50.7413170.41323314.3977390.1439770.4038990.00.1191530.1191530.7375230.9858780
4Qwen/Qwen2-72B-Instruct100.7436700.41598214.4934750.1449350.4065170.00.0962050.0962050.7405910.9894090
5Qwen/Qwen2-72B-Instruct500.7481930.44015415.3863490.1538630.4171310.00.1015000.1015000.7449260.9902910
6Qwen/Qwen2-7B-Instruct00.7170160.37747711.7834930.1178350.3684090.00.0714920.0714920.7148050.9214470
7Qwen/Qwen2-7B-Instruct10.7265790.38000811.7319170.1173190.3715750.00.0741390.0741390.7242550.9240950
8Qwen/Qwen2-7B-Instruct30.7319960.38678212.3688760.1236890.3779330.00.1412180.1412180.7275650.9646950
9Qwen/Qwen2-7B-Instruct50.7349880.38784912.2772550.1227730.3823830.00.0917920.0917920.7320830.9638130
10Qwen/Qwen2-7B-Instruct100.7340350.38526512.5352520.1253530.3817530.00.1032660.1032660.7307740.9761690
11Qwen/Qwen2-7B-Instruct500.7385720.39534612.9499520.1295000.3901620.00.1006180.1006180.7353740.9849960
12internlm/internlm2_5-7b-chat00.7173530.36816811.3605210.1136050.3601420.00.2144750.2144750.7108020.9911740
13internlm/internlm2_5-7b-chat10.7185420.37195911.5770760.1157710.3637170.00.1403350.1403350.7142200.9867610
14internlm/internlm2_5-7b-chat30.7233540.37471111.5482600.1154830.3683340.00.1774050.1774050.7178710.9867610
15internlm/internlm2_5-7b-chat50.7235410.37285611.5415350.1154150.3681600.00.1482790.1482790.7189450.9876430
16internlm/internlm2_5-7b-chat100.7256180.37509011.6964930.1169650.3681480.00.1306270.1306270.7215510.9849960
17internlm/internlm2_5-7b-chat500.7117370.37213111.4046880.1140470.3624940.00.1685790.1685790.7066070.9594008
18microsoft/Phi-3.5-mini-instruct00.6638020.2887496.6166860.0661670.2920530.00.1359220.1359220.6599330.9849960
19microsoft/Phi-3.5-mini-instruct10.6667380.2901436.8161550.0681620.2915780.00.7157990.7157990.6473030.9620486
20microsoft/Phi-3.5-mini-instruct30.6797560.3022287.2800060.0728000.3055930.00.1147400.1147400.6764040.9964700
21microsoft/Phi-3.5-mini-instruct50.6794950.3014267.3552370.0735520.3069650.01.3071491.3071490.6450780.9911741
22microsoft/Phi-3.5-mini-instruct100.6859480.3046687.6096840.0760970.3119020.00.0635480.0635480.6840660.9938220
23microsoft/Phi-3.5-mini-instruct500.6781460.2996167.2250220.0722500.3067270.00.1059140.1059140.6750570.9832300
24shenzhi-wang/Llama3.1-70B-Chinese-Chat00.7171460.36387010.8746780.1087470.3530220.00.1544570.1544570.7124040.9514560
25shenzhi-wang/Llama3.1-70B-Chinese-Chat10.7263910.37956811.8054420.1180540.3695720.00.1253310.1253310.7224830.9805830
26shenzhi-wang/Llama3.1-70B-Chinese-Chat30.7314230.38622512.3066610.1230670.3743670.00.1438660.1438660.7269140.9832300
27shenzhi-wang/Llama3.1-70B-Chinese-Chat50.7336930.38954912.5820300.1258200.3779030.00.1438660.1438660.7291700.9805830
28shenzhi-wang/Llama3.1-70B-Chinese-Chat100.7354650.38975212.9570080.1295700.3799670.00.1262140.1262140.7314810.9814650
29shenzhi-wang/Llama3.1-70B-Chinese-Chat500.7389750.39954413.2578490.1325780.3876510.00.1323920.1323920.7347780.9929390
30shenzhi-wang/Llama3.1-8B-Chinese-Chat00.7005860.3476229.7994390.0979940.3345990.02.2162402.2162400.6445500.9858782
31shenzhi-wang/Llama3.1-8B-Chinese-Chat10.7085070.35430810.4383680.1043840.3435280.00.1950570.1950570.7026120.9894090
32shenzhi-wang/Llama3.1-8B-Chinese-Chat30.7180300.36007410.7099000.1070990.3513060.00.1482790.1482790.7134700.9849960
33shenzhi-wang/Llama3.1-8B-Chinese-Chat50.7182130.36231911.2047350.1120470.3554640.00.1579880.1579880.7133570.9779350
34shenzhi-wang/Llama3.1-8B-Chinese-Chat100.7156280.36152610.1252270.1012520.3533300.00.8314210.8314210.6916380.96557822
35shenzhi-wang/Llama3.1-8B-Chinese-Chat500.7013460.3585658.4295340.0842950.3414720.00.1509270.1509270.6968130.89585270
36shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat00.6896160.3285008.3137950.0831380.3182650.00.1279790.1279790.6858290.9841130
37shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat10.6940420.3342128.8579090.0885790.3237730.00.6690200.6690200.6750560.9717561
38shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat30.7063110.3435629.6059270.0960590.3339590.00.1262140.1262140.7024840.9805830
39shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat50.7087470.3442919.6384900.0963850.3379640.00.0759050.0759050.7064270.9849962
40shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat100.7019350.3408439.7356700.0973570.3332170.00.1041480.1041480.6987900.98411311
41shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat500.7087450.36184210.4864030.1048640.3452120.00.5136800.5136800.6936550.9911742
42gpt-4o-mini00.7258850.37977012.0823840.1208240.3707410.00.0953220.0953220.7229060.9805830
43gpt-4o-mini10.7269930.37721412.0134020.1201340.3672640.00.0917920.0917920.7241190.9602820
44gpt-4o-mini30.7277930.37729912.4003110.1240030.3677490.00.0917920.0917920.7249160.9461610
45gpt-4o-mini50.7177690.35541812.0246430.1202460.3471910.00.0503090.0503090.7162080.8790820
46gpt-4o-mini100.7269680.37336012.5760080.1257600.3656350.00.0706090.0706090.7247530.9302740
47gpt-4o-mini500.7370920.40446913.9728840.1397290.3913590.00.0847310.0847310.7344010.9717560
48gpt-4o00.7258260.37974212.0546000.1205460.3705490.00.0953220.0953220.7228480.9770520
49gpt-4o10.7268820.37588612.0498620.1204990.3657280.00.0917920.0917920.7240090.9611650
50gpt-4o30.7274960.37685112.4087460.1240870.3667270.00.0935570.0935570.7245660.9435130
51gpt-4o50.7172420.35772512.1696830.1216970.3481530.00.0353050.0353050.7161460.8790820
52gpt-4o100.7282480.37464412.4982390.1249820.3671770.00.0706090.0706090.7260300.9364520
53gpt-4o500.7361750.40413913.7824500.1378250.3906080.00.0759050.0759050.7337650.9717560
\n", "
" ], "text/plain": [ " model shots comet meteor \\\n", "0 Qwen/Qwen2-72B-Instruct 0 0.732399 0.400364 \n", "1 Qwen/Qwen2-72B-Instruct 1 0.737856 0.406873 \n", "2 Qwen/Qwen2-72B-Instruct 3 0.738435 0.408624 \n", "3 Qwen/Qwen2-72B-Instruct 5 0.741317 0.413233 \n", "4 Qwen/Qwen2-72B-Instruct 10 0.743670 0.415982 \n", "5 Qwen/Qwen2-72B-Instruct 50 0.748193 0.440154 \n", "6 Qwen/Qwen2-7B-Instruct 0 0.717016 0.377477 \n", "7 Qwen/Qwen2-7B-Instruct 1 0.726579 0.380008 \n", "8 Qwen/Qwen2-7B-Instruct 3 0.731996 0.386782 \n", "9 Qwen/Qwen2-7B-Instruct 5 0.734988 0.387849 \n", "10 Qwen/Qwen2-7B-Instruct 10 0.734035 0.385265 \n", "11 Qwen/Qwen2-7B-Instruct 50 0.738572 0.395346 \n", "12 internlm/internlm2_5-7b-chat 0 0.717353 0.368168 \n", "13 internlm/internlm2_5-7b-chat 1 0.718542 0.371959 \n", "14 internlm/internlm2_5-7b-chat 3 0.723354 0.374711 \n", "15 internlm/internlm2_5-7b-chat 5 0.723541 0.372856 \n", "16 internlm/internlm2_5-7b-chat 10 0.725618 0.375090 \n", "17 internlm/internlm2_5-7b-chat 50 0.711737 0.372131 \n", "18 microsoft/Phi-3.5-mini-instruct 0 0.663802 0.288749 \n", "19 microsoft/Phi-3.5-mini-instruct 1 0.666738 0.290143 \n", "20 microsoft/Phi-3.5-mini-instruct 3 0.679756 0.302228 \n", "21 microsoft/Phi-3.5-mini-instruct 5 0.679495 0.301426 \n", "22 microsoft/Phi-3.5-mini-instruct 10 0.685948 0.304668 \n", "23 microsoft/Phi-3.5-mini-instruct 50 0.678146 0.299616 \n", "24 shenzhi-wang/Llama3.1-70B-Chinese-Chat 0 0.717146 0.363870 \n", "25 shenzhi-wang/Llama3.1-70B-Chinese-Chat 1 0.726391 0.379568 \n", "26 shenzhi-wang/Llama3.1-70B-Chinese-Chat 3 0.731423 0.386225 \n", "27 shenzhi-wang/Llama3.1-70B-Chinese-Chat 5 0.733693 0.389549 \n", "28 shenzhi-wang/Llama3.1-70B-Chinese-Chat 10 0.735465 0.389752 \n", "29 shenzhi-wang/Llama3.1-70B-Chinese-Chat 50 0.738975 0.399544 \n", "30 shenzhi-wang/Llama3.1-8B-Chinese-Chat 0 0.700586 0.347622 \n", "31 shenzhi-wang/Llama3.1-8B-Chinese-Chat 1 0.708507 0.354308 \n", "32 shenzhi-wang/Llama3.1-8B-Chinese-Chat 3 0.718030 0.360074 \n", "33 shenzhi-wang/Llama3.1-8B-Chinese-Chat 5 0.718213 0.362319 \n", "34 shenzhi-wang/Llama3.1-8B-Chinese-Chat 10 0.715628 0.361526 \n", "35 shenzhi-wang/Llama3.1-8B-Chinese-Chat 50 0.701346 0.358565 \n", "36 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat 0 0.689616 0.328500 \n", "37 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat 1 0.694042 0.334212 \n", "38 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat 3 0.706311 0.343562 \n", "39 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat 5 0.708747 0.344291 \n", "40 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat 10 0.701935 0.340843 \n", "41 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat 50 0.708745 0.361842 \n", "42 gpt-4o-mini 0 0.725885 0.379770 \n", "43 gpt-4o-mini 1 0.726993 0.377214 \n", "44 gpt-4o-mini 3 0.727793 0.377299 \n", "45 gpt-4o-mini 5 0.717769 0.355418 \n", "46 gpt-4o-mini 10 0.726968 0.373360 \n", "47 gpt-4o-mini 50 0.737092 0.404469 \n", "48 gpt-4o 0 0.725826 0.379742 \n", "49 gpt-4o 1 0.726882 0.375886 \n", "50 gpt-4o 3 0.727496 0.376851 \n", "51 gpt-4o 5 0.717242 0.357725 \n", "52 gpt-4o 10 0.728248 0.374644 \n", "53 gpt-4o 50 0.736175 0.404139 \n", "\n", " spbleu bleu_1 rouge_l ews_score repetition_score \\\n", "0 12.223833 0.122238 0.384961 0.0 0.195940 \n", "1 13.151009 0.131510 0.394507 0.0 0.157988 \n", "2 13.771789 0.137718 0.398395 0.0 0.127096 \n", "3 14.397739 0.143977 0.403899 0.0 0.119153 \n", "4 14.493475 0.144935 0.406517 0.0 0.096205 \n", "5 15.386349 0.153863 0.417131 0.0 0.101500 \n", "6 11.783493 0.117835 0.368409 0.0 0.071492 \n", "7 11.731917 0.117319 0.371575 0.0 0.074139 \n", "8 12.368876 0.123689 0.377933 0.0 0.141218 \n", "9 12.277255 0.122773 0.382383 0.0 0.091792 \n", "10 12.535252 0.125353 0.381753 0.0 0.103266 \n", "11 12.949952 0.129500 0.390162 0.0 0.100618 \n", "12 11.360521 0.113605 0.360142 0.0 0.214475 \n", "13 11.577076 0.115771 0.363717 0.0 0.140335 \n", "14 11.548260 0.115483 0.368334 0.0 0.177405 \n", "15 11.541535 0.115415 0.368160 0.0 0.148279 \n", "16 11.696493 0.116965 0.368148 0.0 0.130627 \n", "17 11.404688 0.114047 0.362494 0.0 0.168579 \n", "18 6.616686 0.066167 0.292053 0.0 0.135922 \n", "19 6.816155 0.068162 0.291578 0.0 0.715799 \n", "20 7.280006 0.072800 0.305593 0.0 0.114740 \n", "21 7.355237 0.073552 0.306965 0.0 1.307149 \n", "22 7.609684 0.076097 0.311902 0.0 0.063548 \n", "23 7.225022 0.072250 0.306727 0.0 0.105914 \n", "24 10.874678 0.108747 0.353022 0.0 0.154457 \n", "25 11.805442 0.118054 0.369572 0.0 0.125331 \n", "26 12.306661 0.123067 0.374367 0.0 0.143866 \n", "27 12.582030 0.125820 0.377903 0.0 0.143866 \n", "28 12.957008 0.129570 0.379967 0.0 0.126214 \n", "29 13.257849 0.132578 0.387651 0.0 0.132392 \n", "30 9.799439 0.097994 0.334599 0.0 2.216240 \n", "31 10.438368 0.104384 0.343528 0.0 0.195057 \n", "32 10.709900 0.107099 0.351306 0.0 0.148279 \n", "33 11.204735 0.112047 0.355464 0.0 0.157988 \n", "34 10.125227 0.101252 0.353330 0.0 0.831421 \n", "35 8.429534 0.084295 0.341472 0.0 0.150927 \n", "36 8.313795 0.083138 0.318265 0.0 0.127979 \n", "37 8.857909 0.088579 0.323773 0.0 0.669020 \n", "38 9.605927 0.096059 0.333959 0.0 0.126214 \n", "39 9.638490 0.096385 0.337964 0.0 0.075905 \n", "40 9.735670 0.097357 0.333217 0.0 0.104148 \n", "41 10.486403 0.104864 0.345212 0.0 0.513680 \n", "42 12.082384 0.120824 0.370741 0.0 0.095322 \n", "43 12.013402 0.120134 0.367264 0.0 0.091792 \n", "44 12.400311 0.124003 0.367749 0.0 0.091792 \n", "45 12.024643 0.120246 0.347191 0.0 0.050309 \n", "46 12.576008 0.125760 0.365635 0.0 0.070609 \n", "47 13.972884 0.139729 0.391359 0.0 0.084731 \n", "48 12.054600 0.120546 0.370549 0.0 0.095322 \n", "49 12.049862 0.120499 0.365728 0.0 0.091792 \n", "50 12.408746 0.124087 0.366727 0.0 0.093557 \n", "51 12.169683 0.121697 0.348153 0.0 0.035305 \n", "52 12.498239 0.124982 0.367177 0.0 0.070609 \n", "53 13.782450 0.137825 0.390608 0.0 0.075905 \n", "\n", " total_repetitions rap translation_completeness \\\n", "0 0.195940 0.726279 0.967343 \n", "1 0.157988 0.732867 0.980583 \n", "2 0.127096 0.734407 0.987643 \n", "3 0.119153 0.737523 0.985878 \n", "4 0.096205 0.740591 0.989409 \n", "5 0.101500 0.744926 0.990291 \n", "6 0.071492 0.714805 0.921447 \n", "7 0.074139 0.724255 0.924095 \n", "8 0.141218 0.727565 0.964695 \n", "9 0.091792 0.732083 0.963813 \n", "10 0.103266 0.730774 0.976169 \n", "11 0.100618 0.735374 0.984996 \n", "12 0.214475 0.710802 0.991174 \n", "13 0.140335 0.714220 0.986761 \n", "14 0.177405 0.717871 0.986761 \n", "15 0.148279 0.718945 0.987643 \n", "16 0.130627 0.721551 0.984996 \n", "17 0.168579 0.706607 0.959400 \n", "18 0.135922 0.659933 0.984996 \n", "19 0.715799 0.647303 0.962048 \n", "20 0.114740 0.676404 0.996470 \n", "21 1.307149 0.645078 0.991174 \n", "22 0.063548 0.684066 0.993822 \n", "23 0.105914 0.675057 0.983230 \n", "24 0.154457 0.712404 0.951456 \n", "25 0.125331 0.722483 0.980583 \n", "26 0.143866 0.726914 0.983230 \n", "27 0.143866 0.729170 0.980583 \n", "28 0.126214 0.731481 0.981465 \n", "29 0.132392 0.734778 0.992939 \n", "30 2.216240 0.644550 0.985878 \n", "31 0.195057 0.702612 0.989409 \n", "32 0.148279 0.713470 0.984996 \n", "33 0.157988 0.713357 0.977935 \n", "34 0.831421 0.691638 0.965578 \n", "35 0.150927 0.696813 0.895852 \n", "36 0.127979 0.685829 0.984113 \n", "37 0.669020 0.675056 0.971756 \n", "38 0.126214 0.702484 0.980583 \n", "39 0.075905 0.706427 0.984996 \n", "40 0.104148 0.698790 0.984113 \n", "41 0.513680 0.693655 0.991174 \n", "42 0.095322 0.722906 0.980583 \n", "43 0.091792 0.724119 0.960282 \n", "44 0.091792 0.724916 0.946161 \n", "45 0.050309 0.716208 0.879082 \n", "46 0.070609 0.724753 0.930274 \n", "47 0.084731 0.734401 0.971756 \n", "48 0.095322 0.722848 0.977052 \n", "49 0.091792 0.724009 0.961165 \n", "50 0.093557 0.724566 0.943513 \n", "51 0.035305 0.716146 0.879082 \n", "52 0.070609 0.726030 0.936452 \n", "53 0.075905 0.733765 0.971756 \n", "\n", " num_max_output_tokens \n", "0 1 \n", "1 1 \n", "2 0 \n", "3 0 \n", "4 0 \n", "5 0 \n", "6 0 \n", "7 0 \n", "8 0 \n", "9 0 \n", "10 0 \n", "11 0 \n", "12 0 \n", "13 0 \n", "14 0 \n", "15 0 \n", "16 0 \n", "17 8 \n", "18 0 \n", "19 6 \n", "20 0 \n", "21 1 \n", "22 0 \n", "23 0 \n", "24 0 \n", "25 0 \n", "26 0 \n", "27 0 \n", "28 0 \n", "29 0 \n", "30 2 \n", "31 0 \n", "32 0 \n", "33 0 \n", "34 22 \n", "35 70 \n", "36 0 \n", "37 1 \n", "38 0 \n", "39 2 \n", "40 11 \n", "41 2 \n", "42 0 \n", "43 0 \n", "44 0 \n", "45 0 \n", "46 0 \n", "47 0 \n", "48 0 \n", "49 0 \n", "50 0 \n", "51 0 \n", "52 0 \n", "53 0 " ] }, "execution_count": 47, "metadata": {}, "output_type": "execute_result" } ], "source": [ "%%time\n", "\n", "variant = \"shots\"\n", "if recalculate:\n", " metrics_df = None\n", "else:\n", " metrics_df = pd.read_csv(metrics_csv)\n", "\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": 74, "metadata": {}, "outputs": [ { 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modelshotseval_time
0internlm/internlm2_5-7b-chat001.224184
1internlm/internlm2_5-7b-chat011.312445
2internlm/internlm2_5-7b-chat031.857899
3internlm/internlm2_5-7b-chat052.860547
4internlm/internlm2_5-7b-chat105.722860
5internlm/internlm2_5-7b-chat5042.292145
6Qwen/Qwen2-7B-Instruct000.980583
7Qwen/Qwen2-7B-Instruct011.052957
8Qwen/Qwen2-7B-Instruct031.601059
9Qwen/Qwen2-7B-Instruct052.289497
10Qwen/Qwen2-7B-Instruct104.006178
11Qwen/Qwen2-7B-Instruct5017.464254
12shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat001.204766
13shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat011.481906
14shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat032.262136
15shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat053.388350
16shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat106.558694
17shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat5029.659312
18shenzhi-wang/Llama3.1-8B-Chinese-Chat001.075022
19shenzhi-wang/Llama3.1-8B-Chinese-Chat011.157105
20shenzhi-wang/Llama3.1-8B-Chinese-Chat031.981465
21shenzhi-wang/Llama3.1-8B-Chinese-Chat052.814651
\n", "
" ], "text/plain": [ " model shots eval_time\n", "0 internlm/internlm2_5-7b-chat 00 1.224184\n", "1 internlm/internlm2_5-7b-chat 01 1.312445\n", "2 internlm/internlm2_5-7b-chat 03 1.857899\n", "3 internlm/internlm2_5-7b-chat 05 2.860547\n", "4 internlm/internlm2_5-7b-chat 10 5.722860\n", "5 internlm/internlm2_5-7b-chat 50 42.292145\n", "6 Qwen/Qwen2-7B-Instruct 00 0.980583\n", "7 Qwen/Qwen2-7B-Instruct 01 1.052957\n", "8 Qwen/Qwen2-7B-Instruct 03 1.601059\n", "9 Qwen/Qwen2-7B-Instruct 05 2.289497\n", "10 Qwen/Qwen2-7B-Instruct 10 4.006178\n", "11 Qwen/Qwen2-7B-Instruct 50 17.464254\n", "12 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat 00 1.204766\n", "13 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat 01 1.481906\n", "14 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat 03 2.262136\n", "15 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat 05 3.388350\n", "16 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat 10 6.558694\n", "17 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat 50 29.659312\n", "18 shenzhi-wang/Llama3.1-8B-Chinese-Chat 00 1.075022\n", "19 shenzhi-wang/Llama3.1-8B-Chinese-Chat 01 1.157105\n", "20 shenzhi-wang/Llama3.1-8B-Chinese-Chat 03 1.981465\n", "21 shenzhi-wang/Llama3.1-8B-Chinese-Chat 05 2.814651" ] }, "execution_count": 74, "metadata": {}, "output_type": "execute_result" } ], "source": [ "process_log_file(\"logs/l40-1gpu-1.txt\", total_entries=1133, variant=\"epochs\")" ] }, { "cell_type": "code", "execution_count": 48, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Loading content of logs/l40-1gpu-1.txt\n", "Error processing log file: logs/l40-1gpu-1.txt\n", "'utf-8' codec can't decode byte 0xe2 in position 0: unexpected end of data\n", "Loading content of logs/l40-1gpu-2.txt\n", "Loading content of logs/l40-1gpu-3.txt\n", "Loading content of logs/l40-1gpu-4.txt\n", "Loading content of logs/l40-1gpu-5.txt\n", "Loading content of logs/l40-1gpu-epoch-1.txt\n", "Loading content of logs/l40-1gpu-fine-tuned.txt\n", "Loading content of logs/l40-1gpu-rpp-1.txt\n", "Loading content of logs/l40-1gpu-rpp-2.txt\n", "Loading content of logs/l40-1gpu-rpp-3.txt\n", "Loading content of logs/l40-1gpu-rpp-4.txt\n", "Loading content of logs/l40-4gpu-1.txt\n", "Loading content of logs/l40-4gpu-2.txt\n", "Loading content of logs/l40-4gpu-3.txt\n", "Loading content of logs/l40-4gpu-4.txt\n", "Loading content of logs/l40-4gpu-5.txt\n", "Loading content of logs/l40-4gpu-6.txt\n", "Loading content of logs/l40-4gpu-7.txt\n", "Loading content of logs/l40-4gpu-8.txt\n", "Loading content of logs/openai-gpt-4o-fine-tuned.txt\n", "Loading content of logs/openai-gpt-4o-mini-fine-tuned.txt\n", "Loading content of logs/openai-gpt-4o-mini.txt\n", "Loading content of logs/openai-gpt-4o.txt\n", "Loading content of logs/openai-training-sample.jsonl\n", "Loading content of logs/tune-qwen2-70b.txt\n" ] }, { "data": { "text/html": [ "
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modelshotseval_time
0internlm/internlm2_5-7b-chat01.224184
1internlm/internlm2_5-7b-chat11.312445
2internlm/internlm2_5-7b-chat31.857899
3internlm/internlm2_5-7b-chat52.860547
4internlm/internlm2_5-7b-chat105.722860
5internlm/internlm2_5-7b-chat5042.292145
6Qwen/Qwen2-7B-Instruct00.980583
7Qwen/Qwen2-7B-Instruct11.052957
8Qwen/Qwen2-7B-Instruct31.601059
9Qwen/Qwen2-7B-Instruct52.289497
10Qwen/Qwen2-7B-Instruct104.006178
11Qwen/Qwen2-7B-Instruct5017.464254
12shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat01.204766
13shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat11.481906
14shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat32.262136
15shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat53.388350
16shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat106.558694
17shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat5029.659312
18shenzhi-wang/Llama3.1-8B-Chinese-Chat01.075022
19shenzhi-wang/Llama3.1-8B-Chinese-Chat11.157105
20shenzhi-wang/Llama3.1-8B-Chinese-Chat31.981465
21shenzhi-wang/Llama3.1-8B-Chinese-Chat52.814651
22microsoft/Phi-3.5-mini-instruct00.983230
23microsoft/Phi-3.5-mini-instruct11.207414
24microsoft/Phi-3.5-mini-instruct31.596646
25microsoft/Phi-3.5-mini-instruct52.930274
26microsoft/Phi-3.5-mini-instruct106.857899
27microsoft/Phi-3.5-mini-instruct5059.488085
28Qwen/Qwen2-72B-Instruct08.894969
29Qwen/Qwen2-72B-Instruct18.983230
30Qwen/Qwen2-72B-Instruct311.657546
31Qwen/Qwen2-72B-Instruct517.167696
32Qwen/Qwen2-72B-Instruct1029.728155
33Qwen/Qwen2-72B-Instruct50112.503972
34shenzhi-wang/Llama3.1-70B-Chinese-Chat07.833186
35shenzhi-wang/Llama3.1-70B-Chinese-Chat18.307149
36shenzhi-wang/Llama3.1-70B-Chinese-Chat311.681377
37shenzhi-wang/Llama3.1-70B-Chinese-Chat517.233892
38shenzhi-wang/Llama3.1-8B-Chinese-Chat5041.866726
39shenzhi-wang/Llama3.1-70B-Chinese-Chat50117.984113
40gpt-4o-mini01.593998
41gpt-4o-mini11.566637
42gpt-4o-mini31.286849
43gpt-4o-mini51.203883
44gpt-4o-mini101.187996
45gpt-4o-mini501.289497
46gpt-4o01.528685
47gpt-4o11.203883
48gpt-4o32.052074
49gpt-4o51.684025
50gpt-4o101.789938
51gpt-4o502.025596
\n", "
" ], "text/plain": [ " model shots eval_time\n", "0 internlm/internlm2_5-7b-chat 0 1.224184\n", "1 internlm/internlm2_5-7b-chat 1 1.312445\n", "2 internlm/internlm2_5-7b-chat 3 1.857899\n", "3 internlm/internlm2_5-7b-chat 5 2.860547\n", "4 internlm/internlm2_5-7b-chat 10 5.722860\n", "5 internlm/internlm2_5-7b-chat 50 42.292145\n", "6 Qwen/Qwen2-7B-Instruct 0 0.980583\n", "7 Qwen/Qwen2-7B-Instruct 1 1.052957\n", "8 Qwen/Qwen2-7B-Instruct 3 1.601059\n", "9 Qwen/Qwen2-7B-Instruct 5 2.289497\n", "10 Qwen/Qwen2-7B-Instruct 10 4.006178\n", "11 Qwen/Qwen2-7B-Instruct 50 17.464254\n", "12 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat 0 1.204766\n", "13 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat 1 1.481906\n", "14 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat 3 2.262136\n", "15 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat 5 3.388350\n", "16 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat 10 6.558694\n", "17 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat 50 29.659312\n", "18 shenzhi-wang/Llama3.1-8B-Chinese-Chat 0 1.075022\n", "19 shenzhi-wang/Llama3.1-8B-Chinese-Chat 1 1.157105\n", "20 shenzhi-wang/Llama3.1-8B-Chinese-Chat 3 1.981465\n", "21 shenzhi-wang/Llama3.1-8B-Chinese-Chat 5 2.814651\n", "22 microsoft/Phi-3.5-mini-instruct 0 0.983230\n", "23 microsoft/Phi-3.5-mini-instruct 1 1.207414\n", "24 microsoft/Phi-3.5-mini-instruct 3 1.596646\n", "25 microsoft/Phi-3.5-mini-instruct 5 2.930274\n", "26 microsoft/Phi-3.5-mini-instruct 10 6.857899\n", "27 microsoft/Phi-3.5-mini-instruct 50 59.488085\n", "28 Qwen/Qwen2-72B-Instruct 0 8.894969\n", "29 Qwen/Qwen2-72B-Instruct 1 8.983230\n", "30 Qwen/Qwen2-72B-Instruct 3 11.657546\n", "31 Qwen/Qwen2-72B-Instruct 5 17.167696\n", "32 Qwen/Qwen2-72B-Instruct 10 29.728155\n", "33 Qwen/Qwen2-72B-Instruct 50 112.503972\n", "34 shenzhi-wang/Llama3.1-70B-Chinese-Chat 0 7.833186\n", "35 shenzhi-wang/Llama3.1-70B-Chinese-Chat 1 8.307149\n", "36 shenzhi-wang/Llama3.1-70B-Chinese-Chat 3 11.681377\n", "37 shenzhi-wang/Llama3.1-70B-Chinese-Chat 5 17.233892\n", "38 shenzhi-wang/Llama3.1-8B-Chinese-Chat 50 41.866726\n", "39 shenzhi-wang/Llama3.1-70B-Chinese-Chat 50 117.984113\n", "40 gpt-4o-mini 0 1.593998\n", "41 gpt-4o-mini 1 1.566637\n", "42 gpt-4o-mini 3 1.286849\n", "43 gpt-4o-mini 5 1.203883\n", "44 gpt-4o-mini 10 1.187996\n", "45 gpt-4o-mini 50 1.289497\n", "46 gpt-4o 0 1.528685\n", "47 gpt-4o 1 1.203883\n", "48 gpt-4o 3 2.052074\n", "49 gpt-4o 5 1.684025\n", "50 gpt-4o 10 1.789938\n", "51 gpt-4o 50 2.025596" ] }, "execution_count": 48, "metadata": {}, "output_type": "execute_result" } ], "source": [ "time_df = load_eval_times(\"logs\", total_entries=len(df))\n", "time_df" ] }, { "cell_type": "code", "execution_count": 49, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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modelshotscometmeteorspbleubleu_1rouge_lews_scorerepetition_scoretotal_repetitionsraptranslation_completenessnum_max_output_tokenseval_timetranslation_speed
0Qwen/Qwen2-72B-Instruct00.7323990.40036412.2238330.1222380.3849610.00.1959400.1959400.7262790.96734318.8949693.031355
1Qwen/Qwen2-72B-Instruct10.7378560.40687313.1510090.1315100.3945070.00.1579880.1579880.7328670.98058318.9832303.001572
2Qwen/Qwen2-72B-Instruct30.7384350.40862413.7717890.1377180.3983950.00.1270960.1270960.7344070.987643011.6575462.312992
3Qwen/Qwen2-72B-Instruct50.7413170.41323314.3977390.1439770.4038990.00.1191530.1191530.7375230.985878017.1676961.570613
4Qwen/Qwen2-72B-Instruct100.7436700.41598214.4934750.1449350.4065170.00.0962050.0962050.7405910.989409029.7281550.907013
5Qwen/Qwen2-72B-Instruct500.7481930.44015415.3863490.1538630.4171310.00.1015000.1015000.7449260.9902910112.5039720.239670
6Qwen/Qwen2-7B-Instruct00.7170160.37747711.7834930.1178350.3684090.00.0714920.0714920.7148050.92144700.98058327.497750
7Qwen/Qwen2-7B-Instruct10.7265790.38000811.7319170.1173190.3715750.00.0741390.0741390.7242550.92409501.05295725.607712
8Qwen/Qwen2-7B-Instruct30.7319960.38678212.3688760.1236890.3779330.00.1412180.1412180.7275650.96469501.60105916.841235
9Qwen/Qwen2-7B-Instruct50.7349880.38784912.2772550.1227730.3823830.00.0917920.0917920.7320830.96381302.28949711.777178
10Qwen/Qwen2-7B-Instruct100.7340350.38526512.5352520.1253530.3817530.00.1032660.1032660.7307740.97616904.0061786.730557
11Qwen/Qwen2-7B-Instruct500.7385720.39534612.9499520.1295000.3901620.00.1006180.1006180.7353740.984996017.4642541.543943
12internlm/internlm2_5-7b-chat00.7173530.36816811.3605210.1136050.3601420.00.2144750.2144750.7108020.99117401.22418422.025955
13internlm/internlm2_5-7b-chat10.7185420.37195911.5770760.1157710.3637170.00.1403350.1403350.7142200.98676101.31244520.544721
14internlm/internlm2_5-7b-chat30.7233540.37471111.5482600.1154830.3683340.00.1774050.1774050.7178710.98676101.85789914.513064
15internlm/internlm2_5-7b-chat50.7235410.37285611.5415350.1154150.3681600.00.1482790.1482790.7189450.98764302.8605479.426103
16internlm/internlm2_5-7b-chat100.7256180.37509011.6964930.1169650.3681480.00.1306270.1306270.7215510.98499605.7228604.711598
17internlm/internlm2_5-7b-chat500.7117370.37213111.4046880.1140470.3624940.00.1685790.1685790.7066070.959400842.2921450.637561
18microsoft/Phi-3.5-mini-instruct00.6638020.2887496.6166860.0661670.2920530.00.1359220.1359220.6599330.98499600.98323027.423698
19microsoft/Phi-3.5-mini-instruct10.6667380.2901436.8161550.0681620.2915780.00.7157990.7157990.6473030.96204861.20741422.331871
20microsoft/Phi-3.5-mini-instruct30.6797560.3022287.2800060.0728000.3055930.00.1147400.1147400.6764040.99647001.59664616.887783
21microsoft/Phi-3.5-mini-instruct50.6794950.3014267.3552370.0735520.3069650.01.3071491.3071490.6450780.99117412.9302749.201807
22microsoft/Phi-3.5-mini-instruct100.6859480.3046687.6096840.0760970.3119020.00.0635480.0635480.6840660.99382206.8578993.931789
23microsoft/Phi-3.5-mini-instruct500.6781460.2996167.2250220.0722500.3067270.00.1059140.1059140.6750570.983230059.4880850.453264
24shenzhi-wang/Llama3.1-70B-Chinese-Chat00.7171460.36387010.8746780.1087470.3530220.00.1544570.1544570.7124040.95145607.8331863.442254
25shenzhi-wang/Llama3.1-70B-Chinese-Chat10.7263910.37956811.8054420.1180540.3695720.00.1253310.1253310.7224830.98058308.3071493.245856
26shenzhi-wang/Llama3.1-70B-Chinese-Chat30.7314230.38622512.3066610.1230670.3743670.00.1438660.1438660.7269140.983230011.6813772.308274
27shenzhi-wang/Llama3.1-70B-Chinese-Chat50.7336930.38954912.5820300.1258200.3779030.00.1438660.1438660.7291700.980583017.2338921.564581
28shenzhi-wang/Llama3.1-70B-Chinese-Chat100.7354650.38975212.9570080.1295700.3799670.00.1262140.1262140.7314810.9814650NaNNaN
29shenzhi-wang/Llama3.1-70B-Chinese-Chat500.7389750.39954413.2578490.1325780.3876510.00.1323920.1323920.7347780.9929390117.9841130.228538
30shenzhi-wang/Llama3.1-8B-Chinese-Chat00.7005860.3476229.7994390.0979940.3345990.02.2162402.2162400.6445500.98587821.07502225.082102
31shenzhi-wang/Llama3.1-8B-Chinese-Chat10.7085070.35430810.4383680.1043840.3435280.00.1950570.1950570.7026120.98940901.15710523.302822
32shenzhi-wang/Llama3.1-8B-Chinese-Chat30.7180300.36007410.7099000.1070990.3513060.00.1482790.1482790.7134700.98499601.98146513.608018
33shenzhi-wang/Llama3.1-8B-Chinese-Chat50.7182130.36231911.2047350.1120470.3554640.00.1579880.1579880.7133570.97793502.8146519.579806
34shenzhi-wang/Llama3.1-8B-Chinese-Chat100.7156280.36152610.1252270.1012520.3533300.00.8314210.8314210.6916380.96557822NaNNaN
35shenzhi-wang/Llama3.1-8B-Chinese-Chat500.7013460.3585658.4295340.0842950.3414720.00.1509270.1509270.6968130.8958527041.8667260.644039
36shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat00.6896160.3285008.3137950.0831380.3182650.00.1279790.1279790.6858290.98411301.20476622.380952
37shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat10.6940420.3342128.8579090.0885790.3237730.00.6690200.6690200.6750560.97175611.48190618.195354
38shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat30.7063110.3435629.6059270.0960590.3339590.00.1262140.1262140.7024840.98058302.26213611.919625
39shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat50.7087470.3442919.6384900.0963850.3379640.00.0759050.0759050.7064270.98499623.3883507.957802
40shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat100.7019350.3408439.7356700.0973570.3332170.00.1041480.1041480.6987900.984113116.5586944.111156
41shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat500.7087450.36184210.4864030.1048640.3452120.00.5136800.5136800.6936550.991174229.6593120.909118
42gpt-4o-mini00.7258850.37977012.0823840.1208240.3707410.00.0953220.0953220.7229060.98058301.59399816.915836
43gpt-4o-mini10.7269930.37721412.0134020.1201340.3672640.00.0917920.0917920.7241190.96028201.56663717.211268
44gpt-4o-mini30.7277930.37729912.4003110.1240030.3677490.00.0917920.0917920.7249160.94616101.28684920.953361
45gpt-4o-mini50.7177690.35541812.0246430.1202460.3471910.00.0503090.0503090.7162080.87908201.20388322.397361
46gpt-4o-mini100.7269680.37336012.5760080.1257600.3656350.00.0706090.0706090.7247530.93027401.18799622.696880
47gpt-4o-mini500.7370920.40446913.9728840.1397290.3913590.00.0847310.0847310.7344010.97175601.28949720.910335
48gpt-4o00.7258260.37974212.0546000.1205460.3705490.00.0953220.0953220.7228480.97705201.52868517.638568
49gpt-4o10.7268820.37588612.0498620.1204990.3657280.00.0917920.0917920.7240090.96116501.20388322.397361
50gpt-4o30.7274960.37685112.4087460.1240870.3667270.00.0935570.0935570.7245660.94351302.05207413.139785
51gpt-4o50.7172420.35772512.1696830.1216970.3481530.00.0353050.0353050.7161460.87908201.68402516.011530
52gpt-4o100.7282480.37464412.4982390.1249820.3671770.00.0706090.0706090.7260300.93645201.78993815.064103
53gpt-4o500.7361750.40413913.7824500.1378250.3906080.00.0759050.0759050.7337650.97175602.02559613.311547
\n", "
" ], "text/plain": [ " model shots comet meteor \\\n", "0 Qwen/Qwen2-72B-Instruct 0 0.732399 0.400364 \n", "1 Qwen/Qwen2-72B-Instruct 1 0.737856 0.406873 \n", "2 Qwen/Qwen2-72B-Instruct 3 0.738435 0.408624 \n", "3 Qwen/Qwen2-72B-Instruct 5 0.741317 0.413233 \n", "4 Qwen/Qwen2-72B-Instruct 10 0.743670 0.415982 \n", "5 Qwen/Qwen2-72B-Instruct 50 0.748193 0.440154 \n", "6 Qwen/Qwen2-7B-Instruct 0 0.717016 0.377477 \n", "7 Qwen/Qwen2-7B-Instruct 1 0.726579 0.380008 \n", "8 Qwen/Qwen2-7B-Instruct 3 0.731996 0.386782 \n", "9 Qwen/Qwen2-7B-Instruct 5 0.734988 0.387849 \n", "10 Qwen/Qwen2-7B-Instruct 10 0.734035 0.385265 \n", "11 Qwen/Qwen2-7B-Instruct 50 0.738572 0.395346 \n", "12 internlm/internlm2_5-7b-chat 0 0.717353 0.368168 \n", "13 internlm/internlm2_5-7b-chat 1 0.718542 0.371959 \n", "14 internlm/internlm2_5-7b-chat 3 0.723354 0.374711 \n", "15 internlm/internlm2_5-7b-chat 5 0.723541 0.372856 \n", "16 internlm/internlm2_5-7b-chat 10 0.725618 0.375090 \n", "17 internlm/internlm2_5-7b-chat 50 0.711737 0.372131 \n", "18 microsoft/Phi-3.5-mini-instruct 0 0.663802 0.288749 \n", "19 microsoft/Phi-3.5-mini-instruct 1 0.666738 0.290143 \n", "20 microsoft/Phi-3.5-mini-instruct 3 0.679756 0.302228 \n", "21 microsoft/Phi-3.5-mini-instruct 5 0.679495 0.301426 \n", "22 microsoft/Phi-3.5-mini-instruct 10 0.685948 0.304668 \n", "23 microsoft/Phi-3.5-mini-instruct 50 0.678146 0.299616 \n", "24 shenzhi-wang/Llama3.1-70B-Chinese-Chat 0 0.717146 0.363870 \n", "25 shenzhi-wang/Llama3.1-70B-Chinese-Chat 1 0.726391 0.379568 \n", "26 shenzhi-wang/Llama3.1-70B-Chinese-Chat 3 0.731423 0.386225 \n", "27 shenzhi-wang/Llama3.1-70B-Chinese-Chat 5 0.733693 0.389549 \n", "28 shenzhi-wang/Llama3.1-70B-Chinese-Chat 10 0.735465 0.389752 \n", "29 shenzhi-wang/Llama3.1-70B-Chinese-Chat 50 0.738975 0.399544 \n", "30 shenzhi-wang/Llama3.1-8B-Chinese-Chat 0 0.700586 0.347622 \n", "31 shenzhi-wang/Llama3.1-8B-Chinese-Chat 1 0.708507 0.354308 \n", "32 shenzhi-wang/Llama3.1-8B-Chinese-Chat 3 0.718030 0.360074 \n", "33 shenzhi-wang/Llama3.1-8B-Chinese-Chat 5 0.718213 0.362319 \n", "34 shenzhi-wang/Llama3.1-8B-Chinese-Chat 10 0.715628 0.361526 \n", "35 shenzhi-wang/Llama3.1-8B-Chinese-Chat 50 0.701346 0.358565 \n", "36 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat 0 0.689616 0.328500 \n", "37 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat 1 0.694042 0.334212 \n", "38 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat 3 0.706311 0.343562 \n", "39 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat 5 0.708747 0.344291 \n", "40 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat 10 0.701935 0.340843 \n", "41 shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat 50 0.708745 0.361842 \n", "42 gpt-4o-mini 0 0.725885 0.379770 \n", "43 gpt-4o-mini 1 0.726993 0.377214 \n", "44 gpt-4o-mini 3 0.727793 0.377299 \n", "45 gpt-4o-mini 5 0.717769 0.355418 \n", "46 gpt-4o-mini 10 0.726968 0.373360 \n", "47 gpt-4o-mini 50 0.737092 0.404469 \n", "48 gpt-4o 0 0.725826 0.379742 \n", "49 gpt-4o 1 0.726882 0.375886 \n", "50 gpt-4o 3 0.727496 0.376851 \n", "51 gpt-4o 5 0.717242 0.357725 \n", "52 gpt-4o 10 0.728248 0.374644 \n", "53 gpt-4o 50 0.736175 0.404139 \n", "\n", " spbleu bleu_1 rouge_l ews_score repetition_score \\\n", "0 12.223833 0.122238 0.384961 0.0 0.195940 \n", "1 13.151009 0.131510 0.394507 0.0 0.157988 \n", "2 13.771789 0.137718 0.398395 0.0 0.127096 \n", "3 14.397739 0.143977 0.403899 0.0 0.119153 \n", "4 14.493475 0.144935 0.406517 0.0 0.096205 \n", "5 15.386349 0.153863 0.417131 0.0 0.101500 \n", "6 11.783493 0.117835 0.368409 0.0 0.071492 \n", "7 11.731917 0.117319 0.371575 0.0 0.074139 \n", "8 12.368876 0.123689 0.377933 0.0 0.141218 \n", "9 12.277255 0.122773 0.382383 0.0 0.091792 \n", "10 12.535252 0.125353 0.381753 0.0 0.103266 \n", "11 12.949952 0.129500 0.390162 0.0 0.100618 \n", "12 11.360521 0.113605 0.360142 0.0 0.214475 \n", "13 11.577076 0.115771 0.363717 0.0 0.140335 \n", "14 11.548260 0.115483 0.368334 0.0 0.177405 \n", "15 11.541535 0.115415 0.368160 0.0 0.148279 \n", "16 11.696493 0.116965 0.368148 0.0 0.130627 \n", "17 11.404688 0.114047 0.362494 0.0 0.168579 \n", "18 6.616686 0.066167 0.292053 0.0 0.135922 \n", "19 6.816155 0.068162 0.291578 0.0 0.715799 \n", "20 7.280006 0.072800 0.305593 0.0 0.114740 \n", "21 7.355237 0.073552 0.306965 0.0 1.307149 \n", "22 7.609684 0.076097 0.311902 0.0 0.063548 \n", "23 7.225022 0.072250 0.306727 0.0 0.105914 \n", "24 10.874678 0.108747 0.353022 0.0 0.154457 \n", "25 11.805442 0.118054 0.369572 0.0 0.125331 \n", "26 12.306661 0.123067 0.374367 0.0 0.143866 \n", "27 12.582030 0.125820 0.377903 0.0 0.143866 \n", "28 12.957008 0.129570 0.379967 0.0 0.126214 \n", "29 13.257849 0.132578 0.387651 0.0 0.132392 \n", "30 9.799439 0.097994 0.334599 0.0 2.216240 \n", "31 10.438368 0.104384 0.343528 0.0 0.195057 \n", "32 10.709900 0.107099 0.351306 0.0 0.148279 \n", "33 11.204735 0.112047 0.355464 0.0 0.157988 \n", "34 10.125227 0.101252 0.353330 0.0 0.831421 \n", "35 8.429534 0.084295 0.341472 0.0 0.150927 \n", "36 8.313795 0.083138 0.318265 0.0 0.127979 \n", "37 8.857909 0.088579 0.323773 0.0 0.669020 \n", "38 9.605927 0.096059 0.333959 0.0 0.126214 \n", "39 9.638490 0.096385 0.337964 0.0 0.075905 \n", "40 9.735670 0.097357 0.333217 0.0 0.104148 \n", "41 10.486403 0.104864 0.345212 0.0 0.513680 \n", "42 12.082384 0.120824 0.370741 0.0 0.095322 \n", "43 12.013402 0.120134 0.367264 0.0 0.091792 \n", "44 12.400311 0.124003 0.367749 0.0 0.091792 \n", "45 12.024643 0.120246 0.347191 0.0 0.050309 \n", "46 12.576008 0.125760 0.365635 0.0 0.070609 \n", "47 13.972884 0.139729 0.391359 0.0 0.084731 \n", "48 12.054600 0.120546 0.370549 0.0 0.095322 \n", "49 12.049862 0.120499 0.365728 0.0 0.091792 \n", "50 12.408746 0.124087 0.366727 0.0 0.093557 \n", "51 12.169683 0.121697 0.348153 0.0 0.035305 \n", "52 12.498239 0.124982 0.367177 0.0 0.070609 \n", "53 13.782450 0.137825 0.390608 0.0 0.075905 \n", "\n", " total_repetitions rap translation_completeness \\\n", "0 0.195940 0.726279 0.967343 \n", "1 0.157988 0.732867 0.980583 \n", "2 0.127096 0.734407 0.987643 \n", "3 0.119153 0.737523 0.985878 \n", "4 0.096205 0.740591 0.989409 \n", "5 0.101500 0.744926 0.990291 \n", "6 0.071492 0.714805 0.921447 \n", "7 0.074139 0.724255 0.924095 \n", "8 0.141218 0.727565 0.964695 \n", "9 0.091792 0.732083 0.963813 \n", "10 0.103266 0.730774 0.976169 \n", "11 0.100618 0.735374 0.984996 \n", "12 0.214475 0.710802 0.991174 \n", "13 0.140335 0.714220 0.986761 \n", "14 0.177405 0.717871 0.986761 \n", "15 0.148279 0.718945 0.987643 \n", "16 0.130627 0.721551 0.984996 \n", "17 0.168579 0.706607 0.959400 \n", "18 0.135922 0.659933 0.984996 \n", "19 0.715799 0.647303 0.962048 \n", "20 0.114740 0.676404 0.996470 \n", "21 1.307149 0.645078 0.991174 \n", "22 0.063548 0.684066 0.993822 \n", "23 0.105914 0.675057 0.983230 \n", "24 0.154457 0.712404 0.951456 \n", "25 0.125331 0.722483 0.980583 \n", "26 0.143866 0.726914 0.983230 \n", "27 0.143866 0.729170 0.980583 \n", "28 0.126214 0.731481 0.981465 \n", "29 0.132392 0.734778 0.992939 \n", "30 2.216240 0.644550 0.985878 \n", "31 0.195057 0.702612 0.989409 \n", "32 0.148279 0.713470 0.984996 \n", "33 0.157988 0.713357 0.977935 \n", "34 0.831421 0.691638 0.965578 \n", "35 0.150927 0.696813 0.895852 \n", "36 0.127979 0.685829 0.984113 \n", "37 0.669020 0.675056 0.971756 \n", "38 0.126214 0.702484 0.980583 \n", "39 0.075905 0.706427 0.984996 \n", "40 0.104148 0.698790 0.984113 \n", "41 0.513680 0.693655 0.991174 \n", "42 0.095322 0.722906 0.980583 \n", "43 0.091792 0.724119 0.960282 \n", "44 0.091792 0.724916 0.946161 \n", "45 0.050309 0.716208 0.879082 \n", "46 0.070609 0.724753 0.930274 \n", "47 0.084731 0.734401 0.971756 \n", "48 0.095322 0.722848 0.977052 \n", "49 0.091792 0.724009 0.961165 \n", "50 0.093557 0.724566 0.943513 \n", "51 0.035305 0.716146 0.879082 \n", "52 0.070609 0.726030 0.936452 \n", "53 0.075905 0.733765 0.971756 \n", "\n", " num_max_output_tokens eval_time translation_speed \n", "0 1 8.894969 3.031355 \n", "1 1 8.983230 3.001572 \n", "2 0 11.657546 2.312992 \n", "3 0 17.167696 1.570613 \n", "4 0 29.728155 0.907013 \n", "5 0 112.503972 0.239670 \n", "6 0 0.980583 27.497750 \n", "7 0 1.052957 25.607712 \n", "8 0 1.601059 16.841235 \n", "9 0 2.289497 11.777178 \n", "10 0 4.006178 6.730557 \n", "11 0 17.464254 1.543943 \n", "12 0 1.224184 22.025955 \n", "13 0 1.312445 20.544721 \n", "14 0 1.857899 14.513064 \n", "15 0 2.860547 9.426103 \n", "16 0 5.722860 4.711598 \n", "17 8 42.292145 0.637561 \n", "18 0 0.983230 27.423698 \n", "19 6 1.207414 22.331871 \n", "20 0 1.596646 16.887783 \n", "21 1 2.930274 9.201807 \n", "22 0 6.857899 3.931789 \n", "23 0 59.488085 0.453264 \n", "24 0 7.833186 3.442254 \n", "25 0 8.307149 3.245856 \n", "26 0 11.681377 2.308274 \n", "27 0 17.233892 1.564581 \n", "28 0 NaN NaN \n", "29 0 117.984113 0.228538 \n", "30 2 1.075022 25.082102 \n", "31 0 1.157105 23.302822 \n", "32 0 1.981465 13.608018 \n", "33 0 2.814651 9.579806 \n", "34 22 NaN NaN \n", "35 70 41.866726 0.644039 \n", "36 0 1.204766 22.380952 \n", "37 1 1.481906 18.195354 \n", "38 0 2.262136 11.919625 \n", "39 2 3.388350 7.957802 \n", "40 11 6.558694 4.111156 \n", "41 2 29.659312 0.909118 \n", "42 0 1.593998 16.915836 \n", "43 0 1.566637 17.211268 \n", "44 0 1.286849 20.953361 \n", "45 0 1.203883 22.397361 \n", "46 0 1.187996 22.696880 \n", "47 0 1.289497 20.910335 \n", "48 0 1.528685 17.638568 \n", "49 0 1.203883 22.397361 \n", "50 0 2.052074 13.139785 \n", "51 0 1.684025 16.011530 \n", "52 0 1.789938 15.064103 \n", "53 0 2.025596 13.311547 " ] }, "execution_count": 49, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Merge time_df into metrics_df\n", "metrics_df.drop(columns=[\"eval_time\"], inplace=True, errors=\"ignore\")\n", "metrics_df = pd.merge(metrics_df, time_df, on=[\"model\", \"shots\"], how=\"left\")\n", "metrics_df[\"translation_speed\"] = metrics_df[\"eval_time\"].apply(\n", " lambda x: df[\"count_chinese_characters-ground_truth\"].sum() / len(df) / x\n", ")\n", "metrics_df" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 50, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array(['Qwen/Qwen2-72B-Instruct', 'Qwen/Qwen2-7B-Instruct',\n", " 'internlm/internlm2_5-7b-chat', 'microsoft/Phi-3.5-mini-instruct',\n", " 'shenzhi-wang/Llama3.1-70B-Chinese-Chat',\n", " 'shenzhi-wang/Llama3.1-8B-Chinese-Chat',\n", " 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat', 'gpt-4o-mini',\n", " 'gpt-4o'], dtype=object)" ] }, "execution_count": 50, "metadata": {}, "output_type": "execute_result" } ], "source": [ "models = metrics_df[\"model\"].unique()\n", "models" ] }, { "cell_type": "code", "execution_count": 51, "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": 52, "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": 53, "metadata": {}, "outputs": [], "source": [ "# plot mtr vs rpp\n", "import matplotlib.pyplot as plt\n", "import matplotlib.ticker as ticker\n", "\n", "\n", "def plot_metrics_vs_shots(\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[\"shots\"].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[\"shots\"]]\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(\"Number of Shots\")\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, -0.93 if len(columns) > 1 else -0.525),\n", " )\n", "\n", " plt.show()" ] }, { "cell_type": "code", "execution_count": 54, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_metrics_vs_shots(\n", " metrics_df,\n", " models,\n", " markers,\n", " [\"comet\"],\n", " [\"COMET\"],\n", ")" ] }, { "cell_type": "code", "execution_count": 55, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_metrics_vs_shots(\n", " metrics_df,\n", " models,\n", " markers,\n", " [\"meteor\", \"spbleu\"],\n", " [\"METEOR\", \"spBLEU\"],\n", ")" ] }, { "cell_type": "code", "execution_count": 56, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_metrics_vs_shots(\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": 57, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_metrics_vs_shots(\n", " metrics_df,\n", " models,\n", " markers,\n", " [\"meteor\"],\n", " [\"METEOR\"],\n", ")" ] }, { "cell_type": "code", "execution_count": 58, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_metrics_vs_shots(\n", " metrics_df,\n", " models,\n", " markers,\n", " [\"spbleu\"],\n", " [\"spBLEU\"],\n", ")" ] }, { "cell_type": "code", "execution_count": 59, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_metrics_vs_shots(\n", " metrics_df,\n", " models,\n", " markers,\n", " [\"eval_time\"],\n", " [\"Mean Inference Time (seconds)\"],\n", " [True],\n", ")" ] }, { "cell_type": "code", "execution_count": 60, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_metrics_vs_shots(\n", " metrics_df,\n", " models,\n", " markers,\n", " [\"meteor\", \"eval_time\"],\n", " [\"METEOR\", \"Mean Inference Time (seconds)\"],\n", " [False, True],\n", ")" ] }, { "cell_type": "code", "execution_count": 61, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_metrics_vs_shots(\n", " metrics_df,\n", " models,\n", " markers,\n", " [\"rouge_l\", \"bleu_1\"],\n", " [\"Rourge-L\", \"BLUE-1\"],\n", ")" ] }, { "cell_type": "code", "execution_count": 62, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_metrics_vs_shots(\n", " metrics_df,\n", " models,\n", " markers,\n", " [\"total_repetitions\", \"num_max_output_tokens\"],\n", " [\"Mean Total Repetitions\", \"Number of Answers with Max Output Tokens\"],\n", ")" ] }, { "cell_type": "code", "execution_count": 63, "metadata": {}, "outputs": [ { "data": { "image/png": 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wQzinTQOUOEffL78owjGWSVXvcOzGT6axryAFg4htbYq1rj1mrWt3q9a7jIsvUUu5ND/7LG3vvKuIPI8HotGkvvp+9aUq9gLLltP21lvd7ld0u9X3ptJSrGPGoHc6lSnVhc7pRO90oXc5k6zuzmOPpfXlV3boszU/+yyeb75FsNmwjT0Qx6RJ2CdNwtSvn2aJ38/ocCHtipmvr6VgQJrmUtrL0IThXoRl0CCKnnsO388/U3///YQ3bKT+P/fQ8tprSoKao47afRddQYD0MmUadoqyTBKhad1WmVBXKJbFjd8rUwcpeQliMfZqS989x6qhsQ8QqasFlHIO2X+5USvbsIsQBAFDZqaSuGfUqE7r0844A8fkyUoCnK0zqVZVYSyMhyb4582j4YH/Jm2vT03FWFyMqbCQjMsuwzJQydYqhcMIBoP2O+4jyLKMHAwiWCzqfTewYiWh9esR29viQi/mlim1uyl66knVy6f+3ntpe7N7AZd60kmqMBQ93k7lXgSjEZ3Lhd7lQk4QivaJExAMBvQuZ1zkpbrQO5V5Q3r8vpt68kmknnzSDn1ewWjcsS8G0GdkoE9PR2xpwTfzJ3wzfwLAkJ2N/eCDyPv3vzWBuB8QjYp8+dRywoFol+s1l9LeiSYM9zIEQcBxyCHYJ02i7b33aXzsMSLlFVRfcy3WMWOUBDUHHLBnDkanh+zByjTqbGVZNKzEJapicTE0rlZiFtfWwtrP49unlSZYFUdB3kglBlJDYz9HEARy//Y3HAcfTMrhh/f04exX6CwWzP37Y+7fv9M6easEHMaSEpzHHafGN4otLYoVqK2N4LJlpF9wvtq27c23aHjgAYyFhaqbqrGoEFNxsVKSo7S0c2kijd2OFA4jtsWEnFux2DkOOQRBr8TOt334If45c+IiryMer92NHA7Tf85s1b277b13adtGLJ7Y2qoKQ70rFQwGxVLnigk3lxO9KxW904mQ4B2QevJJOA4+SBF6sbaJgjQR+4QJ2CdM6LR8T5J3553k/uMfhNauxTd7Nr7Zc/AvWEC0oYHw5i1Jx9384ouY+/TBduCB6Gy2HjxqjV2FLMt8++IqNi1pIhoSu28XcyltrvGSka89+/UWNGG4lyIYDKSdfhrO446j+blnaXnhRQILF7LltNNxHnssWTfcgKmwYPsd7WoMpnhtRC5SloV9ULssOWaxZZPimtq6BVa+3/GpIGtgsgtq7jAlu6qGxj5OpL6BluefI/svf0EwGhEMBk0U9jK2tvalTJlCypQp6rzo9RKpqiJcUUGksgpTaam6LlxViRyJEN68mfDmzfi26rv0rTexjhgBgPeXXwgsXISxuEgtwWHIytqlVpZ9rVi52N5OtLkFyd0eE28dFjtFxGXf9Bc1NrT+/gdwf/opotuNHAx26itR7AWWLqX9o4+73a/kdkOsrWXgIOwHHZQg8lyqW6bO6USfUF4m6+qryLru2h36TU0lJaqraE9hSEtDMJm2WbJCMJnU703Q6bAMHoxl8GAyLroIKRQisGiREpYSQ2xvp+H+B0CSEIxGrKNGYZ80CfukiViGDlXFuUbvRZZkGso9NJS7GT5FSYooCAL+9jDRkIhOLyCJcpfbCjooG5GlicJehiDLcte/2D5CR1bSyspKCn9rJs9dxJyaOdz73pXccsoMJuZP3KV9R+rqaHz0/2j/8EOQZQSTifQ/nUvGpZeidzp36b52CYFWJUYxMWbRXd25nc6o1GbsEIr5oyBrkFK3cX/hhBPg4+4fTDT2fkLr11Nx6WVEa2tJP/98cm756+/rUDtneh2yKBKtqyPc4ZbakUm1opJwVRV9v/xCfaiuv+ceWl56OWl7wWJRE+Hk3v43Nf5L9HgQTCY1+ciO0G2x8sT97eFi5XI0iujxJCVX8s2fT2jDhk7xdx1JVcree1cVe9U33Ij788+76z5J7NXedVeyZU8QYm6XipgrnPE4xhwlKYZ31i+E1q5Jir1T3DJjgs/h2G/cIjsNJlx/PcTioGHnBxMidXU0zZiB75fZRGpqktbpXC4yr7icjPPP/72HrbGLCfkjVKxqoXxFMxUrmwl4IgCcf99k7C7lOlS7sR1BAEeGhfn/mkd/PawJSqwLSQww6xhk0bFBhPH/mNAjMYa9SRv0Nvajp+ueRZZlHl30KJucER5d9CgT8ibs0puJMTeX/Hv+Q/q551B//wP4586l+dnnaHv3PTKvuoq000/bqRiB3Y41DfoepkwdeOqTrYrViyDQArVLlAmlvhlGG+QekFw2I72PlglVY6/EN3cuVVdfg+TxYCotJe3ss3r6kDR2A4Jej7GgAGNBwXZd/ayjx5DqD6gJciK1tcjBIKH1Gwit34Dw73jpjaYZT9Dy0ksYcnIwFSoJcExFhRhjGVUtgwd3Sk62u4qVy6KI5PEkW+u8PpxTj1bbtLz8Mv5fFyRny2xvR/IpNtRBK5arYq/tzbe2KfYShaQ+NRVdSkpna53Tid7lTLL2ZlxwAamnnKqIPJdLEXfdxH46DpqM46DJXa7b3zDm5yefDxYLDB3a/Qbb6y83l7x//QtZlomUl+OdPRv/nDn45s5Dam9HZ49nQg2Xl9P83POKRXHCePSpqb/jk2j8FrYsa2LxNxXUbmxHluI2JaNFT9HgdCJBEWKJ8vP6Km/c31UwwKA8mw226sk0CGQZlf9afwNEf62DI4r37AfR2CaaMNxDzK6ZzcpmxU1nZfNKZtfMZnLBrr/ZWIYMofiF5/HOnEnDA/8lvHEj9f/+N62vvkr2TX/BcfjhvXd0MyUHBk5TJlBcTtoqOmdCDXugcq4ydWBxxZPbdJTNcBZoYlGjV9P+8cfU/O12pRzFmDEUPv6YVo5CA+fUo5PElBwOE6mtVRLhVFehT0ggEqmvA1kmWldHtK4OFixI6qv/rJ+VRDso8XKhdet3uNxGaNOmhCQq8eyZUiBI7u1/U9vV3HIrnu+/R/J4klwFO0hJEHuBJUvxfPNNt/tMFHvWkSOQIxFF6HWIPDWRiispJi3n77eT+4+/79DnMhVrD6K9CUEQMJWWkl5aSvpZZyFHowRXrMCY4D7r/eln2t5+m7a33wZBwDJsWMztdJJSrkOLz92lRMIi1WtbyShwkJKuxLuGAlFq1rcBkJZro2RYBiXDM8nr60Jv6Hpgxf1NctKkTIPQab1TE4a9Cs2VdA8gyzJnfnYmq1tWI8lK8oIMSwYXDL2AXEcuufZccm25ZFoz0e/CYvFyNErbu+/S+H+PIba0AGAbO5bsm2/GOnzYLtvPHkWSoHl9cn3F2mUghjq3tWcnWxXzR4M9Y88f8+9Fcwvc55BlmeannqLxkUcBSJl2DPn33rtT7oDbRDtn9htkWUZsbSVSUUG4sopwpRLfGK6sINrYSN8vv1QHA6uuvhrPN9/ukv0mWvaqb/wL7s8+U9cJVquaJEXvdFL45JNqhk3vTz8Rrqrayi0zZuFLSeldni0a22YPXmcCy5bR/smn+ObMJrxhY9I6wWql5KUX91zivX0Ud1OALcubKV/RTPW6VsSIxMST+jJ6qiLQg94I6xfUUzw0A1eWdTu9geiL4Jtb20kcJuI8qqRHhGFv0Aa9Fc1iuAdItBZ20Bxs5r8Lk9OclzpL+eSkT9T5V1a9goBArj2XHFsOufZcMqwZ6IQdS3cuGAyknXEGzuOPp/mZZ2l58UX8v/7Klj/+Eef06WRff91elVwAAJ1OSVCTNRBGnqksEyPQsCo5E2rDKvA1wLovlamD1OLkGot5I8HSC2MwNfZporW1ND/zLADpF11I9o1aOQqN34YgCBjS0zGkp2MdOXKbbVOOOQZDXh7BVasJbGVZ7Ap9aiqGrEwlnq5DvMUSqciSRMfYf9b115F55Z9VIbiturqOQw7ZiU+noaFgPeAAVfhF6uvxzZ6jZDydMwexvR1zv35q2+bnniO4dq1iUZw4CWNOdk8ddq8n6Iuw8IstlK9oprXOn7TOkW5OsgRaHEY1wUwiclQi0uAnUueLTX4itT4kT5hVfyzDT5Qx6BGIWwtlZBYgYs0xcszu+3gavwHNYrib6cpaCCAgkGJKocxZRkOggQZ/A6NzRvP81OfVNoe9fRhNgaak/gw6Azm2HEZkjeC+Q+5Tl/9a9ys2o40cWw7plvQuxWOktpbGRx5RM6wJJhPp551HxmWX7ntFmcN+qFsecz+NuaI2r++ioQCZ/bfKhDocjL2okLhm/dkn8c76hXBFOeln7YaYQu2c0dgGgZUr2XLKqdttV/reu1h/RwyZxj5OL7jOyLJMpKoKU1G8vujmk08huGqVOm/q11d1O7WPHZsUu7i/4WsP4W0NkVOqDIhHIyLP3fgz0bCEoBPI6+uKuYhmkJ5nTwo9kmUZ0R1GbzcixASj+9ty3N9XgtS1lPjGKHJUpHtPuDfMUW64Ywp63Z4N++lpbdCb0SyGu5murIWgjJa4w26uGHkFkwsmI0oivmg8gbksyxxXdhy1vlrq/HXU+epoCjQRlaJUe6spcCSXorhp5k00B5sBMOqMqoUxx57DkPQh/GnonzDm5ZF/330YzzoV34OPEZj/K83PPEPbe++RedWVpP3xj/uOG4/JBsXjlamDYHvnTKjtldC0TpmWxbLU6QxKbcZEsZg9GPR7/rtxNzUQEGSsTQ04M7VRz72ZSH090YYGrMOVYr5KQgstqYWGhsbehSjJzN/cQoOzL9kbmxlXlr7HH+w7EAQhSRQCZP/1r/h++QXf7NkEV64kvGEj4Q0baX35FQw5OfT78QdV8Miy3HvzLuwCZEmmvtxNecxFtLHCQ1qujTPvGE9ElIlIMiOmlWBKMZHe14ndYSIrxYwUFolUedmwogGhKYihOYCpJYQ+LLF2agHuVBOZDjOjHEaQZASLgWabjhabgVa7niarjmWhEDetDiQfD3KS5fD0kJ75m1uY2HcvDPPZR9EshruRDmvhquZVyHT+mgUEhmQM4Y3j3tihC1NUitIUaKLOV4dO0HFAluJWIckS535+LrW+WpoCTZ32NS53HM9NfU6dn/LWFLwRL1mCk7RqN2kNATLckG3OYPi0czhk2iX79IUyCW9jPFaxwxXV19i5ncGSnAk1fxRk9FNcW3cT7qYGnr/uMsRIBL3RyIWPPKWJw72U4Np1VF52GXIwSOmbbyTVt9st9IKRfI3ei2Yx1PitfLmilrs+WUVte7z+Y57Lwh3Th3DMsLwePLKuEdva8M2dp7idzp6NdeRICv77AKA8o206fjrmPmWqRdFYXPybnn9ESSYiSoRFiUhUUkSXKOEwG0izK67VwYjIsqr2pHbRju2iEn2zHYwuVhIveYIRXvxlS6ytTFSUkt6PLUvntAMVQewNRbn8lYVKn6JEVJRJa4+S2y6R4wOLlHysdXqJNx0hIgIIQB4C7cj4gKlDc3hwYAFtH2ygi8dWosjcSYAfiXJw/0xeOnM0UlhC7zJxwJ1f4wlFk9qfh4lLiHtg/UqUsQk2qWcIMvqMIZw4cs/W3dYsht2zz1oMZ8yYwYwZMwhvJyX37iQiRajz1XUpCkEZOanz1RGRIpj028+oZdAZlEQ19tyk5TpBx2vHvabsU4zQEGig3ldPna+OOn8dWdas+DGJEVpDrUiyRBWNVOUAOR3ippVhvz5K6Vuzyb75JqxDh3LO5+dg0VvIseckxTrm2nPJs+eRYkr5Td9Nr8GRBQOmKhMoGfXaq5LLZtQsgZAbquYrUwdmJ+SNSE5w4yraZZlQA243YkSpDyRGIgTcbk0Y7oX45sxRylF4vZj69IEdzAipobG72Nli5RoaoIjCK15d1OmJpq49yBWvLuJ/54zeJeJQkmQiUkxcRaWk9xkOEykWxXun1RdmTZ2HSEwQdQgnRXBJjC5Oo39OKs5jptI29mA+ObgKMRAg/PlqwlEJe/UWjt+4kfDGjWpSJmN+PtFRY3mbPNYVDMZjsil9ilJMnMlcdFAZFx5UBsCqGjfHPfZzV8l4AfjzlL7cfMwg9Xs67ak53X7u8yeVqsIwEBZ58Jt13bYVBFRhKEkSa9Y206ST6TDGTfUbKQkr9xpRDwNGZFMyMJXcdAv/em0R12GhLzr6oMeGwB34+VkvoRMEDGkWkEHnMLIsFKbSADUmqDcLNFn0CHonBxt0DCtwobMZ0cWSA58yppCwKGHS6zDqBRrcIV5aqtSnvAgzzxHiJcKchylp/piUXhS6o6FZDHc3db46WoIt8QVbFYRNt6R3Enq7m7AYpt5fr4hHfx31vnpq2yqpXD2fgoWV/HGmMuJj/cNxTB/8Vbf9jM8dz7NTn1Xn751/LymmFHJtuUki0mHay+MXJQlaNiZbFWuXQTTQua0tM9mqWDAaHDsm5iRRJOBx07B5I20NdfhaW5n3wVvq+oPOPI+s4lLSC4pIzdmz54zGb6Ptgw+p/fvfIRrFeuAYih5/fM/U39IshhrbYVcXK9fYdwlGRBo8IU57cjZ17i4ygMewmfQcMzSXqCRz6SF9GFag1LL7YW0DT/ywQbWiRUQp6f1/ThrOEYNzAPhkaQ1Xv7G42308+McRnDJGeZb7bnU9F73UfRKlf504lHMnlgIwe2MTZz0zL2m9Tpbo11bF6IZ1nChWkbp5LcQGYwHe7Xcozw2bDoBeEtHJEhG9kWuO6M8NRw0AYH29h6Me/qnTvg06AYNe4KKDyrhpalwYnvXsXEx6HQa9gFGvi03K+yMG53DuBCUDqDcU5e7PVqvrEtsZ9ToGZNrpI+opX6G4iHpbQ+SdUooj34ZRJyCvbcdTH8A5JI3SgWnktkZofqFzWJNysAKuY8pIOUix2skRCSkYRZ/y+0qAiJLMQfd9T117sEvziADkuizM+uvhWoxhL0Ibut7NdLLwtZkhY0jPHRBg0psoSimiKCXZL5+DIVJdTcMjj+L+5BM8H3/GnctNBI89CN/4oTREWxQrpK+Oen89OfYcddOwGOa11a91uT+H0cFRJUfxz8n/VJd9uulTVRTn2nKxGW1dbtsr0OmUBDWZ/eGA05RlYhQaVydkQl2kZEL1N8H6r5UJEGUBv6UYf9oQfPY+GHIHUXzwiUrdReD9e+/E09SIr72NgMfdqQaYIAhqDMSsN15Sl9tcqbiyckjJyCQlM5OMohKGH5ZQ92wfj5vo7ciyTNMTT9D02OMAOI89lrx7/rPrylFoaPxOdnWxco29C384SpMnTFaKGatJSQ4yd1Mzny2rpckbik1hmrwhPMHodnrr6FPk/cXVAJwwIl8Vhq2+ML9uae12O2+C+6FR3/m+JQhg1Osw6XVJDjlOq5H+2Q4Meh2mBNFk0AuY9DryU+MlFfJdVs6dUKKuM6ribDAm/VRsZekMTDfiX7iQlpk/0/LTLxx8xnFMPvBADDod1iW/Yr/7NuRhI3Gsn0SwSMI8YAClmXbm/+2ImNiLiTedDl0XQifXZeH7G6fs0HfpMBu45+Thyd+vO8z6BfWUL2tm3boK1kRlzAI49QJ5Vj3917mxrW4j0uCHqKyUgjhYKQURNSiuv/pUM8Y8O8bc2JRnx5BhRUj43gWjDr3x99eF1OsE7pg+hCteXYRAsmdqx97umD6kx+JTNbpGsxjuafaSkfzA8uXU33cfgQULAdBnZJB19VWknnqqWrtKlES17qI/4ueVVa9Q74+7sNb56vCEPQCc0PcE7j7obkARkWNeHZO0vxRTimplnJQ/iXOHnKuuq3BXkGXLwmrYft2cPUEkHMLf1oa/vQ1fexsGk4nSA0ZBJAj1K3jv/2bgbm3F7w8TjCbHIOZb2zmzdJkSn5g/mqc+b8XrDXazpx0nf8BgzvzXA+r8c9dcghiNkpKRiSMjk5SMTJwZmaRkZOHKySW7tM/v3qdG97S++RZ1d94JQMYlF5N1/fV7thzFXnKd0ehFaOfMXo0sy3hCUZo8IfJcVlXszdnYzMdLaxLEXogmT5hARATgzUsnMKGPkvjjlbnl/P3DFV32rxdA3IGnxRNG5DOiKJUjB2dTkqFk/6xq9bO8ql0RbgYdRp2gvOp1GHQCRWk2XDbFPTQYEfGHxSTrWG8QDo3/9380PfG/pGX6jAzsEyZgnzSJlCOPQO9y7dJ9ilGJSEjEYjciRyRqFtTz3Sur8cRiBnPSzUyQpC63FUx6HJPzcU0tBZTzQw6K6Kx73h7UG+NSe5026EVoFkONLrEOH07JK6/g/e47Gh74L+HycuruvIuWV14l+6a/4Dj0UFUUAtiMNi4bcVmnfvwRP3X+OoyCMWnZ5ILJahykN+LFE/bgCXtY37qedEu62jYshjnug+MAcJld5NqUTKsdr8MyhzEpf9Lv/rzhYAB/myL0/O2tGE1mSkfGxes7//ob7qYG/O1thAPJLqT5AwYrwtBogcIDafLKeN1RQBECOp0Om9WIzRgl3Rj7zpo3QPMGjkpLQ5cmYzeK2HJLiWQM5cXPaxFF5WIvCIoRseMVQG8wMv36W5BEEU9zI56WZlIyMtXjkSSR9sZ6ZEnC09w5kc7WIvLjh/6D3mDEkZ5BSkYWKRkdr5nYnC6tvt5vwPWHE2n/9BNcxx9P2hln7LH99qZsgRoaGr8PWZZpD0Ro8obIT7ViMymPbLM3NPHRkpoky16jN0Q4qtw33rhkgprlcWOjlzfmV3TZv8Wow5tgDRxVlMrVh/cj02Emw6Fkncx0mMlymFlV286ZW7lidsWZ44o7ZZgsTLNRmLZjXkEWox6LsfvyBj1F5tVX45w2Dd/s2Xhnz8b/6wLE5mbcn32G+7PPsB4wXBWGkbo6dI4U9I6dL4vhbQ1SuaCe5uXNhKo95GdZSTPpiTb5QYKRuTbECfmUDM8gNctC7V1z0btiVsAcm2oN1KdZEBKu/YIgIPSAKAQ4ZlgeRw3JVe5Nd/yb7Ltu1+5NvRhNGGp0iyAIpBx5JI5DD6X1zbdomjGD8MaNVF1+BbaJE8i5+WYsgwdvsw+b0UYfV7J1KtWSypNHPqnOe8PeuKXRV0dhSnz0piXYgtVgJRAN0B5qpz3UztrWter6E/qeoArDkBji6HePJtuWTa41hxxDJlm4SI3aSImYyXHlM2ZS3N3y7X/ehruxHl97G9FQctxE3oBBScKwtbYmSWTpDQZsrjRsrlQyioqTtp166dXoDEbsqanYXKlY7I5kceVrVusr9ulwRfXWQ+tyaF3OhWVmAlEDLREHn1crcQyyDMceOZD0I67A6nRuMwmNIOi4ZMbzeJubFeHY3BR7Veazy+K/hySJbPh1LnI3o46Fg4dx+p33qvPzPngbk81GSnpmzI01C2uKU3NbBaKtrehTUxEEAZ3FQslLLyHo99wDTtKobOGR8MzcHh+V1dg7mFMzh3uPquKWmjlMzJ/Y04ezTyNKMq1+xUWzKM2G3aw8hv2yoYn3F1XT5A3R7FOses2+EJGYme71S8Yzqa8yALi52cdbCyq77N9u0uMPJ4i94lSuO7J/TOTFxV5mihm7SZ907R5W4FLdP7dmXFkGeS7LduPFxpWld7F270cQBMz9+2Pu35/0885DDocJLF2Kd/ZsgqtWYerXT23b8MB/cX/1FdYRI7BPmoh90iSsw4er3lYdSCGRSJ2Xlmof5Y0Bpch8pZfjXAZSBAGMOmgL0fFr6mwGioZlkHZ0/Jkj/x8TEYy9f/BWrxOUAQP3RtBKU/RqNGGosV0Eo5H0c8/BdeIJND31FK0vv4J/zlw2n3wKrj/8gazrrsWYk7P9jrrBYXLgMDnom9q307pcey7zzpqHJ+KhzlNLVVM5dY0VNDVV09rSQP/W+H4bfA2M+9GIw+/BGvajl7bgBbyx9ctzbKowDIkhNpevwuCN30B1JiNWpwtHajpZxaVJxzH18msVMRgTe2abvVsxlCgou8SeAf2PVCZQVJ+7Ro1VdNYswlmzGFq9SZulH3YpOX36ddFhMoIgKMItPZO8/gO32VaWZI675iY8TYrlsUNIepub8La1Yk+NZyWUJJFf3n61k4jUG42kpGdSNupADr8gbjXesmwxNqeLlIxMLI6UfVo8dpSjcJ14ItnXXwewx0XhnsgWqLHvIcsyjy56lE3OCI8uepQJeRP26f/q7iAqSrT4FKtdSYYdR0zszVrfxLsLK2n2hWn0KJa9Fl9IrQX++sXjmdRPEXvlzX7eW1TVZf9Oi4FAWFTnRxWlccNRA+JiL0Wx6mU64vGCHQzNdzE0//e7OGrxYskIJhO2sWOxjR3baV2kuhqiUQILFxJYuJCmxx5Hn1WKdfShmEqHo0svJdrgR2xWXCvbgIVtsaQ3AgT0OowWA+YCO44+qRjz7Zhy7eicpk7/zb1BFGrsXWjCUGOH0Tud5Nx0E2lnnkXjQw/h/vxz2j/4APcXX5Bx4QWkX3jRTrtOSJJIwO1W4/UC7W0YLBb6j42PWr95x19xN9Thd7cjifGbowOgnwWUpGHk2nMpI49AMB7kLpl0RCwCAZNIVmHcylbvq+fboVWIOgiaRAJmkahBudUJCJw1+CyOirUNi2F+0C0h15pLriFKjqwnS7ZgEHbR30cQwFWgTINjH0aWsb57I/ryNYiyDr0gYf3wPLjuJzD8/qDwDvQGAwMnHtzlOjEaJRqOW1LFSISRU4/D09SkiMeWJnxtrYiRCG31tfjd7WpbSRJ5/547VBFpMJkVC2PMTbVg0FCGHx633ob8PkxW2175QOqbPZuqa65F8nrxfPstmZdegs6+8y5EvxVRkrnrk1VdjuLLKA9td32yiqOG5O43D20ayXSkEuj4f0XECC3BFiJShHm181jZrGQrXNm8klnVszi4sOtrwv5EKCrSHEu+UpZpV0sk/Ly+kbcXVNGc4MbZ6g+rrv6vXTyeyTGxV9nq58MlNZ36FgRIs5kIRuP3s9Elqdw0daAi8FLilr0MhwmzIVnsDcl3MiTfuZs+efccMyyP/50zulO8WK7mmaAi+SPk/ed/hCvridYtVVxP587FPOZKBIuLSD1QH89UL5jBZDHSr18aJcMyKB6SgdVhTHID1dDYk2jCUGOnMRUWUPDQg6Sf9yfq77ufwKJFND3xP1rffoesa64m5YQTCPi9SoIWdzv+9jaMFgsDxk9W+3j99htpb6gn4HYjy8kWqNx+A5KEobelGW9r/EJqttuxudKwu1LJTLDsGfVGTrjmr+iNRuyuNKwuF0ZT11kgnSYnFx37FzXDamK21YgUwWGMl9io89Xx4MIHk7bXCToyrZnk2nOZ3mc6ZwxS4sgiUoRVzavIteWSac1MisPcKX56AOfK5xh56rk8s2Eul0QacHrb4YkJcMUvYNz9iXj0BgP6BNcXo9nC4ecnx5GK0QjelmY8zU0YLfFjCvsDZJWU4WluIuBuJxoO0VpbTWutkrEuGomowlASRWZcdCYGo0l1T43HO2aSVVy6XctnT9H2/gfU/uMfEI1iGzuWwscf26OiEOChb9YmPaTpbesx535CqG46or8/MlDbHmT+5hbeXlDJ0qo2bCY9NpMBm0mP3WTAatLjMBu484R4VspfNjTR5A2p7RK3sZn0pNs7j17vL0ixa5ZOUEbr/RE/baE2olKUiBRRJjFCVI4SESP0Se1DplURCzXeGhbWL1TbRKRI0naHFR3G4AzFRX9ty1peW/2auk5tF+v77MFnc0TxEQAsbVzKrT/f2qldx/wNY27g/GHnA7C6ZTVnf352l5/tz9/9mUuHX8rVo68GoCnQxH/m/QenyYnT7FReY+9dJhfFzmIKHHu2OPVvJRAWafKGaPSG6JftwBkTez+ta+StXytpVJOzhHAnxN69etF4Duqv/H7VrQE+WdpZ7OkESLeb1Tg/gNHFadwybVBM7CnWvSyHmXS7CYM+2dIzKNfJoNw9L/Z2Fi1eLE6kwU+kxkuk1kekTpnEdqU2qM5uJDj9MMojB1BuPZUhYRFrVMItgluSGXFqf7IG2tlwxCEQidB/yGAcbZOQpUnIY8YgaBmsNXoITRjuQdxNDQQEGWtTw15XqDwaieBvb1XFnq+9FZPFxoDXXsXzzTc0PPggP5pE/G+9QOS9lzttn9u3f5Iw9LcrWT0BEASsjhRsrlTsqalkFpUmbXvs1X/BYDRic6Vic7nQG4x0R+HgYTv0eVItqaqYS0SWZVqCLeiFuKATBIFpZdOo99Ur9R/99USlKA3+Bhr8DUzMi4vYWm8t53x+DgB6QU+WLSupruOkgklqTKQsy8jI6sOlysz74Ye7kafcxpPexazMC/GkYxiHrpyH0LIRZoyHK2aDuefrQ+oNRlzZubiyk+sqWhwOzr33UQCi4XBMPHbEOzaRXhCPI/W3tyFLEpFQkJaaKlpqkt2pBk0+lOP63wQoIvKVW67FkZaOQ41zzIzFPGaRkpmJybL7RbMsyzTNeIKmx2PlKI4/nrz/3I3OtOusuR2IkkxFi581tW5W13lo9AS55+QD1PVfraxLPDLM2V+hNzdgzv4K/5Z+dDh6NXiCVLb42dTo63I/NpM+SRg+8/MmflzbOXlRBxv/cywdGc5v+2A5v2xo2kpExoXk348foiaUmLOxmdr2gLreatRhNoLDbMJhNpLpMOOJuHGH3ETkmAhKFFxShBFZI7AbFQG+tmUtq5pXdRZPMWF02sDT1JJBv1T/wuebP+/ULioq728edzNDM5Tv4NNNn/LYosc6t5WiiLLI44c/zqFFhwLwTfk33P7L7d1+Vw8c8gDHlB0DwIqmFdw267Zu2+bZ81Rh2Bho5IMNH3TbtkMUAkSlKJWeruPOAKJyQkkAnRGDYEAn6AhLnYvcNwQa1PeN/ka+Kf+m234vGHYBN4y5AVBE76mfnIrL5FJFpMvsUsXk2NyxTC5Q7gMRKcKG1g1qO4fRsdMDDbIs4wuLNHkUQdc/JwWXVbk/zFzXyBvzKpLEni/BHfOVi8ZxcP8sAGrbA3y2vLZT/0a9QIbdTESMi70xJWncftzghFg9xbqXZjN1EkcDc1MYmJuyU59pb2B/iheTZRnJEyFS5yPaEsAxIV7ipe3DDYQ2tXfaRp9mxicIfPPkcjrOnMVGHYWD0igZnskBwzJISbcQ2rQJc58+hNauJbRqNaFVq2l+9jkEsxnbmDGknnkGzqOO6tS/hsbuRBOGewh3UwPPXXspkkVGd+2lXPTo0z0uDiPBYCwLZ3wyWq0Mnnyo2ubVW6+jra6WkL/zw2ROn/4MnHgQzqOPJmXKFL6/7FwisXaCLGPW6bHn5OLIziGzqCRp2+OuuVmx7KWmYU1xottGPFbBwG0nuNmVCIJAhjX5RleUUsT9h9yvzkuyREswXtOxxBn/bN6Ilzx7Hg3+BkRZVNsQe762GCyqMKz0VHLihycqyXLsCdlW21eRO+5cvIWDWPnLqwCs9Fby03F3M+nzv0NbObx6Epz5JliUEWYdOtU6Kcty0kPg1uyutgICBp2hc1uDgD07E3t2JrkJbTtwpGdwxYtv4otZHr3NTXiam/G2NOFtbia7Tzz21NfWSlPFFpoqtnR5DAMmHcz0a/8KKCLym+dm4EjPxJGRoZTuSM/AkZGJ0WxOOl5QHlS3hVEXH5CoueMO3G+/A0DaJReRfu3ViDoBMdZHYtuoFEXu0tGzc78dbb9cUcfP6xpZU+9lfZ1HTS0Pym9x27GDsZoEZGQO7p/Ghga3sta+Hr1VEdZ6axV6+3pE3wAEvQfZ0MgVR9lp9uvwhUPq5I+EyDYcgBAboPi17lfK3eXoXVUMGOAhFFUEVjgmtEJNRyDIykPwB+s/YF7dPGa319Ng9SMIIkgihESEsEig6jxk0c5dJwzlf0v+x3vr36PFHyAshkGQQBCVbQDvhr8gRzJZ+o+jeWH1Czy34rluv7Oxxn+TYynjlmmD+bHyRx5f8ni3bcvsYzgw10WWw8ym9k18vLH7kgztwfhDXjAapMbX2TKU+Ft1YNKbMOvNGHVGRXTpDMp7vSLAEkvtZNuymZw/uXO72PtSV6nattRZyrWjr01u2/Feb2RwevzaODBtIK9MeyVpvVGI990hpAEGZwxm0bmLOPOzM1ndslq1gIJiBV3bslathZply+LWcbfiDruVKaS8tofacYfd5NvjD8rtoXY1wzTJIdIASEiqMGzwN3Dap6cl7bdDQNoNKUzMOZKJWScxONeJyRTl7bVvU90CCzYF8QWMuH1GWr0GgkEzyCZA4OULx3HIAEXs1bcH+TJp0CT2Wxl0ZDnMRBNqL4wpSeeO6UPiWThjYs9lNXYSq/1zUuifs++JPQ2FSIOfcIU7yQoo+eL/ddvIbHQW5b5hKEwh6AnjkaGuJUTJoQWUHVqIzmKgodyN45kVlAzPpGRYBgUDUjFslW3V3KcPfT76kGhjI765c/H9Mhvf7NlEGxrwzZ6N47DD4sdV34Dv55+wT5qUXH9UQ2MXownDPURTRTlSVLm4SNEoTRXlu1wYyrJMOBDA394aF3xtbZhsNoYcHL/AvPzXa2irrSES6lw/L6dPvyRhGPL5VFGo0xuwuVyKZc+VSkaC2BNMJk64/d8IoRDB9z/E/9bbEImAsAHXySeRNfWEpP30VtfAHaHDjTTTmsmwzGQL5ZCMIXx96teIkkhToCnJTbXOX8eYnHhimjpfHVE5So2vpssH0CzvKnSCDkmW0KHjqhUzoLhDWtXBO1PUtleMuII/j/wzABvbNnLSxyd1e/wXDL2AGw6MjfD7ajjmvWO6bXv6wNO5fYJiCWkJtjDl7Sndtk2sVRmIBhj/+vhu2x5dcjQPTom7545/u4tMiGYgHw62NDKWkwGwpKTww4RWjD4Re9CAPajHFjRgD+ixBw384l7QEXKKr62VFd993eX+g0aR1gFW/vuP9wFFRF7y8HSqhWZ81ih+i4iojz849nX15cM/fKjOPy38zKk6eP5oHd9mvgSvvaSuy7fn89WpX6nz53x+jhrDtTV2g4s/pD/L2jo3T547hsu/vYQF9QviDRxg6AcpgCCbOMbxPINyncjA1d9fzazqWQCkdDF2IssC5qyvCfj64yr6hL8vvLvLYwBYeM5CTHrF2vn++vf5dNOnygo9HVpUZe6ld5FiUpJZLG9azmebPgMBjF08K191RDFGOQODXoc3omQfBhC6GAeymwV8UbCa9JgNZqwGK5GojnBUAFkPsgFZ1oGs58eNzUhhAzdPHUSJq4RDCg9hXV2AypYQyHpkWR/bRs81r25AjrTx882HMTp7NDeMuYFfNrSypNyDSW/EbDBi1puwGIy88GOID0xL+cvUgUwpmsLAtIFsbAxQ0RzCbjLjMFlwms3YzWYyTE4qW/zkOC1MK5vGtLJp3X6/iYzMHsmTRz25/YZAYUohFw+/eIfaOkwORmaP3KG2ALNrZnd5XkqyxOqW1cyumc3kgslkWjM5a/BZO9Rn39S+fHTiR7SH21UB6Q67aQ+20+hvI9c0hNkbmhiS7yQYDZJlzaI12EZUjiDJEm2hNtpCbQAsWZ/Jo415vHThOPrmhfjvgv/Gd2RVJmMmGAGpfQIZwbMQZRlfxMeNM29EL9s5ZIKRNKuLLFsaOY408p3pDEwvo1+aksSrI/ayX7aDftk974GhsWeQZRmxNaQIv1ofKYcUqklcvD9X4/t1qwEFAQyZVox5drwNfirLPWxZ3kzV2laiobgVWq4P0DcmGrOKUzjnXxN3yApuyMrCNX06runTlee4jRs7CUPvzB+p+8cdAJhKS7FPmoR98iRs48ejd2jnrsauo0eF4T333MP777/PmjVrsFqtTJo0ifvuu4+BA+OiYcqUKcycOTNpu8suu4wnn9yxG2tP425qIOB207B5Y9Lyhs0bFWvZdkoPyLJM0OdNsur52tow22wMPTTuRvTyTVfRWltDNNLZLSi7rG+SMIwEA6ooNBhNaqZNmyuVjMLk0gvHX38LBpMpXnZhGxe53L79lTdDhhE+7zwaHnoIzxdf0v7e+7g//4KMCy8k48IL9ngMVk+g1+nJseeQY8/hgKwDumwzOmc035z6jSoaO+o61vvr2dC6gc3uzWpbia7LSexvGE1m6rPCBNM7D2oAHJgVF956o5E1g0LovBHsQb0yBQwYRR2WSLIy8ba2MPxXA8OJZ7kNmkR8FhGfJUqgTFItKJIksqZ/Cjdc3Ehdxu+Lq/EEozw5U7k2bGjowsSSgMWo5/5TR+xw34Igq1bDkQXZrPOkqBYsoz7ZsiXK8YebIRlD8Ea8na1fMcuWUW9UXeaOKjmKEmdJfN1W7SfkHYDNqNQvO2fwORzb59gu+zXoDDiMDnSCDkEQuGLEFVwx4gqqWv00ekL4w2JsiiqvQ0X8oSh2s4FjSo/hmNJjePGXzfwYbkxuFxLx66P4RRGbSU+RYyhDM4eyacMKvq0t7+Jb8wN+rj68P8VOZfDn84Vr+N+PG7toq/DZNQepWR+f/XkTT/+0CbvZgNUYc6c1G7AZ9djMeq45vD+lmcr1b0V1O0sq2zrFbna8z3VZdls9N1mW+ffsh5BlAUHobM2WZYF/z36Iz0+d1O01X5RktaxCkzfE8AIXaXYTfVL78P2ael6cHaHJo6PJa6XFl0ZUkgERmMeLF4xlysC+fH/a97y9oJKb31uIoA8g6AIIej/oA9jIojDTjizLGHQGjutzHPWeVmq9LURkH0HRiz/qISpHuXjyEK4fo9zjqr3V/FL9S/xAt/L0O6X/Kdw56U4APBEPU96akhQzmRhHOSpnFMeUKgNnkiyxtHFpUoylWa/Fge0NRBr8hDa1Eanzq5ZAOUHQWQalYypQxJWpJIVoSwBjrl2tCWjMsSEY9fjaQrx4yy9JfdtcJkqGZVA6LJPCwfEs3r81/loQBMz9+mFOKH8BSvI/68iRBJYvJ7xlC+EtW2h9/XXQ67EecAB5d/8bc58+3fSqobHjCHLHkFkPcMwxx3DGGWcwduxYotEot912GytWrGDVqlXYY+JhypQpDBgwgH/+85/qdjabDadzx4K0q6qqKCoqorKyksLCwu1vsAtxNzXw6hUXoguFkXQCAXPcZcwciiDIIJuMTLrwUmRJwmSzMfyweKbGF2/8M621NUhiZ/e97NK+nHvfo+r889ddSmutYnUymi2q2LO7UkkvKOLgM89T2zaWb46JvTRMVutuTSDhX7yYhvvuJ7BkCaCMjGVdew2uk07ao+n89yZkWe7WxWtA2gCePfpZhOaN8OZZ4K2D1DLM57yHOV25KYiSiC/adRwZgElnwmKwAMrDjjfSvSAx6oyqG9zOtJVlGU/E021bg2BQBQOAO+zeLW09YU+SG6csy0QCAbzNzVhsDnLzFKt3W10tXz79f0qm1eaWpGysAMMnHcSAucsoePQRAjqBZ668AACr04k9IwN7WjqWtHSCJgduVwFVhmLW1Ln5z0nDyXKBKIs8P2szj3y7Xu3TYTbQPzuFoXnZDMx1cszQXOwWcZvuuk5T/Lrnj/jVtrIsc9pH51Pj34g9qMMc1hMyifgsEoX2/nx+6rv7baKYDjqEPUC9O0i9O9hZRIaj+MIi500qVUsOvLOgkq9W1uELifgjIoFwFF9IJBAR8YWifHndIZTFxN79X67hiW2IyE+vPkitEzfjhw088NXabtsmFil/Y34F//1qLTazHpvRoLwmiMjLD+3L4Dzl3Fhb52Hupub4erMem1GP3ay0zXNZQYgy/pXDkPXd/0eJpvDlKV9RkKqYgr9bXc/zv2xWhWBLQiZOgBcuGMthA7PV7+ymd5d16jLVpsSQ3n7cYKbE2m5p8jF3U7NaW6+j1t6OiGJZlglEAwDq/94T9vBt+bdJrq/tYcXt1RPycFTJUWoSnipPFdPe797Smygi3WE3k9+YnLTerDerYvKI4iO4atRVgHKtfGrZU6qIVOMsO+IuTS6M+u5j5fcaTjgBPu7eNXtPIksy0eaAKvzs4/IwpCrC3f1jJe4vtyRvoBcwZtsw5tpJmVKIMSc+YB3whqlY2UL5imZ0OoEjLxiirnvzX/MwmvWUDFNcRDOLdj429vcgejz4583DN3s2vl9mEy4vB52OAXNmo3cp15b2zz5DbG7BPnkSpj59ete1v5ecMz2pDXo7PWox/PLLL5PmX3zxRbKzs1m4cCGHHHKIutxms5Gbm7v15r2e+kULCSEhWWMJKWRZyVMty4QSROIPLz4NQHpBEcMOPVIthi6JoioKzTa7atVTxF7yiXzCjX/DYDJjd6VitFi2eVxZJWW76iNuF9uoUZS88Tqer76m4cEHiVRWUnv732l5+RWyb74Zx0GTt9/Jfsa2XLzWtKxhRdMKJU7n/M/hpROhZZPyet7HkF6GXqdPEhDboiOuZ1e3FQRhh9sCu61tiqkL/0azi8zU5OtJam4eZ/zjHkB52Az5fGqynKb585Befo1ASxsN9z+A4c+XYTCaiEbCBNxuAm43TZvj1t2FrpHMTldcY5eu3ULty/eSkpFJhi2Va60WcvJyKSkuoLQ4n7T8AmzO31ZjLFEA/1L9CzWBDdiDek6amY9B0hHVSXxwaA1VwjrVLXB/JvHhKMdpIce57etkB388sIg/Hli0Q20vPKiM4w7IIxAW8YUVq2ai+MxzxfdZlmln6tAc1RrqC0VjYlMRn3ZzXBi1ByI0+8I0dzPec3rC8c3f0sIdH3ftugzw9LljSLEY8Wy6kvOwcmE0k+cNjbxsaOZP0czYfBMvEeTjxfVccZjyH2rzR/hlQ3NSX4IAGXZFyOkSvt/xZRk8cOoBSfX10u0mTIbONddKM+2qFXVnEQQh6X8Ayn/+pP7du9InkmvP5etTvk6KmUyMoxyaGU/GFIwGKUopUgRm2IMkS4TEEA2BBhoCDUluvN6IlyeWPNHtfhNd6SVZ4uKvL8ZhdCQl6ukQkSXOkqSQhagUTYqN7inm1Mzh3qOquKVmDhPzuwgF2M1EmwMEVreocYCROj8kZIQ15tkxpCrxpqaiFCwD05KsgIYsK0IsM6wsyzRWeChf0cSW5c3Ub3GrhRoNRh1Tzh6IIVYf8o+3jkXfxXm8p9CnpJBy5JGkHKnUQY5UVxNYtUoVhQCtr75GYPFiAAy5udgnTlRcTydNxJCxh5MF/XAP6PRw6M2d1828X4lJP+zWPXtMGtuk568uCbS3Kz4f6enpSctfe+01Xn31VXJzc5k+fTp///vfsdlsXXVBKBQiFIqP9ns82xgR3c1IPh+SLuEC0nHj3Gr0RidKSHodLdWVPH7hGWSX9SGnrC/DDj+K7NK+5PcfhMm67UyLWyd36U0IgoDzmKk4Dj+M1tdfp+l/TxJat47Kiy/GftBBZN98E5YBA3r6MHsFsizz2OLHEBC6TFgiIPDY4seYlD8JIb0PXPA5vHyCIg5fmAZ/+hiytO/y9yAIAhaHA4vDgTjnVxz/9ySCJFLXZyh3F07lMtHFNa+8R8Dj5qt5a3j0kwWkRL04ol4yCJBa2p8Lh5cxKC+FMl0zG9pa8bXFa2vWroBaYC4w9oRTOORsxfrobW3hhxeeIiUzM5ZxNUut+2hPS0PXTemTxHPGHNZjkJRrjkFSLId+qxQ/Z3rTyPE+SEfykh3h2OF5HDt8x+q+nTG2iMMGZuMLRxXRmSAi/eEoZVlxYVWYZuXY4blxK2gk2SLqMBto8AT5UzSbi1GE6sXRbEZG0zkw9khwcTQLmWBSyYZxZek8fPqIeDbOmNjrqkxBcYaN4oyu79G9CYPOQJ4jjzy2/ztk27L5/OTPgbj3RGIcZbol+bnl1AGndkrU0yEqEwesvBEvv9b92u1+jyo5ioemPKTud8yrY7DoLUlWyA6r5fDM4Zw64FR123m187Ab7arYTDGl/PYSSgnIssyjix5lkzPCo4seZULehN1ybZGjEpHGgBoLaBueialI+e7CNT7aP92U1F4w6jDkKsXg9a74/9DSNxVL39Ru9/PV0yvYuDg5A3NGgYOS4RmUDstAlyAEe1IUdoWxoABjQXK5mJSjj0awmAksXES0ro72Dz6g/QMlu7Ft3DhKXn6pq652Dzo9/BCLb08Uh7Hs6xz2tz13LBo7RI+6kiYiSRInnHACbW1tzJo1S13+9NNPU1JSQn5+PsuWLeOvf/0r48aN4/333++ynzvvvJO77rqr0/LKI4+kcDvialfTEArymtMQF4cJFsMOcaiTJIb6IzTazDQKIHZxbTXIkCVDtgQ5kkC2BBkyGNg7H/JEUaSpuYWWtjZ1WarTSWZmBkZDrxqr2OOEdTJHT6ug2dJ9TGFGUM/XXxRhkmK/vyEE/ZeB1Q8RI2w4AAJaMPpvZZU5nYczxzCgcjnHb/gZgO8KR/PI6NOI6gzcVD+PK5uXAFBnsPGRqz+Dgs0MDrWQFfUn/SsjyLQI4FEnOeE9jIsKjIj96at1Mm+au74cCzJMigpMiCptA8is0kOKDBZB5upJdbSbZFw+I4cszVS3+2lEE22OCDYZPvohP37OaOzXzLHlUVB6NrqEs1VGTsoWLCFTveU1Jvo7l3HQ+O2IyER1MubYAE5IJ/FDnh+3SVImo4TbJMZeJcY2WrhsjRK71m4UOeiEim77PrrKzoPzFBddCZmRJ29B3uov74gIuMJ6Jtdb+fvi+LXiicGtmEQBV0SHM6zHGdHhDOtwRnSkhfQ4onFB9EuOn8sPqlfnn5yVw+T63z8QIBoc+F1DiJiziFiyiJjTkzJVOetn4myeD0DU6KItZwrGUBPGYCPGUAOGcDtCNxmgZaBNn0a5pZRySylHtX6JTVLckBfbRzM/ZQJFoUpKQpspCW7BIW075ntvQJIk/IEAPr8fnz9AKBQixWGnMJbVVJZlaurqMJvN2G02LGbz7hk8zC2H/C1QUwof18MJOfH5up4xalQFAhR9+63mStoFvUYYXnHFFXzxxRfMmjVrmz/S999/zxFHHMGGDRvo27dvp/VbWwyrq6sZMmRIj/z4gZUrWX3GGZgHHIuz33GsaPuZVW1zGJI6iWGpB+He8BmhdZ8z+M03sQ4dihiN0lJTRcPmjdRv3kDD5o00bNlMJBjo1LdObyCzqITssr6qhTGruGy7bqS9iXB5OQ0PPYznKyWDo2CzkXHRhWRccAG6bizC+wN1vjpagi3xBddfDw8/rM6mW9LVumwqvmZ45Q9QtwwsqXDu+1AwBo3OtPjCak3ANbVu1tZ7OO3AIs6ZoNygVlc08+1F13Jk5UIAPhk+lVXTzmRQnovBeSmMKUmjMG3Xn5+e5ibWz5+t1npUpkZ8rS1IosjhF17OqKnHA1C9ZhVv3tGFa04iHYNQgM5o4KJHer5EjkbvQJRknr9zJtPC3VuPvjKKnH/Xoeh1AuEaL4HlTQh6AQw6BL2guOHpBQS9gLnMhSFDGXgVvWEitb6k9YJBBzrlvc5hRBeL35QlWTlHdYJmzd4BJFlSrY+qFTLBalnqLOXoUiVPgT/i59wvzlXb+KP+pL62dmcd+fLIbsvqTMibwDNHPwNA+7fltH9bzitZn/Bm5pec1XQs5zQeh/PIElxHbv8hXwqLROv9qhXQ3MeFdZgiUMO1PhoeXZTUXrDoVRdQ69AMLP3Suuq2S6IRkZp1bWxZ0Uz5imbcjfFnqSPOH8ygCYqlOByMotfr0Bt7lzVwVxNtbkbyejGVKL9TeMsWNh4Tj7HVp6Zimzgh5no6GVNhQXdd7ThhH9Qshp8egE0/giSATlYshV25l+4htBjD7ukVwvCqq67io48+4qeffqKsbNvxbz6fD4fDwZdffsnUqVO323dP/viBlSupue0FzINPVJfVBbaQay1V50OrPyL/PxdgHTq0ix5AliRa62pp2LyB+s0bY2JxE0FvZxdZQdCRXlCoiMXSmFgs7YPF3rutR/5Fi6i/7z6CS5VkBYbsbLKuvRbXH07UEtTAjgdrB9rgtVOh6lcwpcDZ70DJno/96I3UtAW45f3lrKl10+AJdVp/2oGFasbPQEsbq049HWtdNa7bbqfgnDP29OEmIUki/rY2DGaz+l9u2LKJeR++g6e5kbb6OgLtbdvtJ7ffQAoGDSGruJSskjLSC4owGPeBBBgaKlIgSqTRj9geQmwLK68dU1uI9DMHYS5TYpHmvb+GgvmN3fZVfmguk6cpmaZ9ixtofav7RDnppw/ENkoZdAisbKL5ldXdtk09qR+O8coDeXB9K03PrVBWxEQk+g7hKeA8sgT7WGUQLFzro+2D9bF2unhbgzJvHZ6JdYgSPyW6Q3hn1yT1hbqNgCnfgalQcUmUwiLhze1J64VYv+gEdDYjervyP5ElGURJaduFC21vJiJG4uVDQu3YjXb6pym/b1gM8/DChzvFWHa8P6TwEB6c8iDu7ypwfxPP5rvYtoZR/kHqvPOoEpxHJGc2l/wRvHNqVSEYbQ6QqD9tB+aQfqoS/iBHJVreWYcx16aKQb3rt1mxKte08PkTy4iGExK46QXy+6dSOjyTPqOySEnfewbSdwfR1lbcn32Ob/Zs/PPmIfmSg5gz/3wFWddcs+MdyrIiBM2xZ05fM/y3P6hZrwVABr0J/t79tWdPoAnD7ulRvz1Zlrn66qv54IMP+PHHH7crCgGWxLJb5uXtWGxGT2MalFy/L8dS0nn9NqS5oNORnl9Aen4Bg2L1BWVZxtPUmGBV3ET95o34WltorqqguaqC1T//oPaRmpNHdmkfssv6klPWl+yyvthcqbvsM/5ebKNHU/rmm3i++IKGBx8iUl1N7d/+Rssrr5Bz803YJ03q6UPcO7CmwrkfwBtnwpaf4ZWT4Mw3oO9h2910b0aWZerdIVbXuVlT62FNnZu1dR4O6pfJ7ccr2eScViM/rYvfiEoybAzKTWFQrpNBuSlqpkgAa3oqB7zyPKFNm3EcfNAe/zxbo9PpcaQnJwzILu3D9Ov+CijZj5+/7jLESCS2NnbzTbAYAtRtWEvdhvjDvXJtKeTgs86n75hxgCJChVjJCI3egyzJSN6IKvKibSFEtyL2Ug4tUlPt+5c10vbBhm77ibaF6Ii86o8ef7ctYWiC66Ax04p9Yh5IMnJUEUdywnu9y6S2FUyKhUcWJWQx1laU1fdCQoyWnFBkno42SOotUY7EH+rlQIRwxTYyHefYEoRhGM+PVd22TTm8SBWGYluIphe6T9bjOKiA1OP7qP3W3Ts/9kHpJFLtY7JxHaM8x0jBKI3PrUCIWUox6JLem8tcOGIWK1mUaf9qc0JfiRZZHYYMC5b+cUtZYE2LIkxj1lhBr4hYwaBDZ9Gjd8bj66SwiKATMOgNZFgzyLB2Tj5i0pv467i/dvsdiJLyYJ8oCgFG+pPrEbu/KUd0hzBk2Ug5KGZt0gudttPZjWoSGHO/VHW5YNCRceYgdgZJlKjb1E75imbS8x0MHK8MJGTkO4iGJewuk1pkvnBQGibL/h2ukoghLY30c84m/ZyzkSMRAsuX4/tlNr7ZswksW4YlwWDhX7iQhvsfwD55EvZJk7AecACCIEHtEqicD5XzlEHpvBHKoDSAPQOc+SBFweKCxjWKxZCwEmPYgxZDje7p0X/IlVdeyeuvv85HH31ESkoKdXVKUVGXy4XVamXjxo28/vrrHHvssWRkZLBs2TKuv/56DjnkEA44oOvacL2N8JqPkyyGWz9whVd/RN2dFeTdfTeWgTuWNEQQBJxZ2Tizsuk/Li6avK0tNGzZSMOmuFh0N9bTVl9LW30t6+bF6+84MjJVq2J2WT9yyvriSM/osQdCQRBwHnssjiOPpPXV12j63/8IrVlDxYUXYT/kYHJuuglz//49cmx7FeaYpfCtc2DDt/D66XDayzCw+yL2exOSJKOLjdQHIyLnvzCfNXUe2vyRTm1d1rg1zGE28MjpIynOsDEwJwW7OfnSF1y9mrYfVpF6yilA1wH9vRVnZjYXPvIUAbeb2g2b+e65WBkbWeaIi64lq6SAoMeD391OY8VmGss301S+haDPS3NVBfoEq+HaObP47rknyCwqJauklKziMjKLS8ksLsFk2bMx2vsLsiQj+SIJ1r0wloFpqmumf0kDLe+sA7HrEcTEGmyGNAt6lxl9qhm9y6S8d5kxpMZes+K/oX9+chHvxHIeAN5fakidroRrmIpS1KQf28PSPw3LdTvm7mfpn0b+HRMTRKSMLEqqSNQ744LTkGMn49zBSe1kUYaoIlLNpfHBHZ3diGNyfszCJyNHY20l5b0xO+4KLugEjPn2LvcvixKCKcG9UEyI/ZaBqIwcFVUhKyUWO49IRCq7F7KCQQcdwjAq4f2putu21uGZqjCUZZnmF7sXspaBaWReEM9iWvuvuXGB3SFMY4LTXOYk45x4KYbGZ5cr9f26EJyGTCtt4wVS58XPQ6GLPAe+eXWYypyqMNSZDTgOKkDvNKliUJ9i6rTdzhDwhClfqbiHVq5qIeRXkiQVDExThaHNaeKsO8eTmmPTBrp2AMFoxDZ6NLbRo8m6+ipErxfBFP+dvD//TGDpUgJLl9L0xP/QGQVsWUHsOUHsuSFMzqiSOqNmcVIejciJ7xCd9QIseB7GXgavLIFzR8J790NFE4YjrsMYi3nU6B30qCtpd3/WF154gfPPP5/KykrOOeccVqxYgc/no6ioiJNOOonbb799r6hjGFi5ki2nnIp10vXoswYlfV5ZlpEDzQQWPIvUshkMevp9/dUu/4MEvB7FqphgWWytrU6yJHRgdbo6iUVXTm6PXFSjra00PfE/Wt94A6JR0OlIPfVUsq65GkNm5vY72Jf4LXV/oiF490JY8ynoDHDKszB0x1K49wYkSaaqNaBaAdfWK6+lmXaeP3+s2m7c3d/S4Amh1wn0ybQzKM8ZswSmMDjPSX7q9sWM9+efqb72OqRAgKKnn8Jx8MG786PtNmRZ5oP/fsnmBTPUZWVjr+Lkv3QeFJBlGW9LM40VmykYOASzTclq+fMbLzH/w3e67D81J49jr/4Lef0VK0EkHMJgMKrldTQ6I8sdoi+siLWYS2JwYxvub8sR2xV3z61FX9ppA7CPzgEgsLaF5hdWggD6FFNM9MUny8C0JKGzo2ztFmj2biHkKFXnu3IL3N+RJRk5IsYspTKyJCniMCZSdTYDhlTFPVGOSAQ3tCaL2IT3xiwblgExsRcRaf+mXOkrJl6V/hXhaypxknKI8vwiizIN/1vSZb+IMub+aUlWt6rbZoHU9WOeuV8qWRcPV+er75yDHOy6jqqpOIVriu/l7EVHMNI/sJMoDAsRljnWccjoo7AWu7AO3fX3aVmW+ejhxVSvb0vytLLYjRQPTadsRBb9xmhx1LuEaBjqliuWwLYKIqOvxzdrlmJR/OFLxEBygrzSv5+M9aDjIX8kss6EoNcTqalh49FHI0fFbnYCgkFP36+/3uPiUHMl7Z4edyXdFkVFRcycOXMPHc2ux5CWhmnICRiyB3daJwgCgi0T+yG3IEsBBF0jYsBGx9j91qO3vxWrI4WS4SMpGT5SXRYO+Gko30zD5k0x0biBpqoKAu52ypctpnzZYrWt2WYnq7QsSSym5Rd0mzp/V2FISyP3b7eRfvZZNDz4IJ5vvqXt7bdxf/opGZdcTPr556Pbw1lm9yoMZvjji/DB5bDiXUUkRoIw8syePrJOBCNiUjHr81+Yz6+bW/CFO99M/Fst++8fR5BuN9Ev27FDBbG3pvWdd6i78y4QRWwTJmAdMWLnP0AvYcPCBmrWhwA9IAJ6atYFWb+gnv4H5iS1FQSBlIxMUjKSH94mnnoWAyceTFNluWJZrNhCY8UWfK0ttNXXYkuolbXwkw+Y99E7ZBaVkFVcSmZxGVklpWQWl2J17Jh1aW9GlmXFYzdmwY40+PEvbkBsi8f1RdvDam21tD8OwD5G+R3kqER4szvemQA6hwm9y4TBZU6yqJjLXOTeMhZ9ikmtu7Yr6BB97m/KFRH46AO4r308Pq+Jwk4IOgHBbIAdqEgiGHVYB+9YzTjBqCf12D471lYvkHPVqB1qC5B/50TVUppoCUWUEbZKtpJx9iDkiNTJaoooI1kFJswclBRTmIhJNrLJXsOxRxdh0psIi2FWNa9Kqu+4M4QCUapWt9BY6WHCiYrlWhAEpZ6gDJlFDkqGZVA6PJPsUqfqSaLxG/E2KiKwwyW0ZjFEg+pq46E3k3rKKaSecgryqsMIrd+IryKMb/EaQhs3YjnjnxDLCVH7t78RXL4C88CB2xSFAHJUJNraqlkNexG9IvnM7qSnRwWqbvk5eUGCiX1r7BPzSDuxH+HKSqpvvImsa6/HMXn8HjhKiIbDNFVsiVkVldjFxootCXFLcQwmM1klpapQzC7rS2ZRMXrD7ktk4V+wgPr77ie4fLlyDDk5ZF13Ha4TT9j3LRa/xWLYgSTCJ9fC4leU+eMfhgMv3HXHthNERYktzT5WJ8QBrq71YNQL/HhTPA7ytCfnMH9LCya9jv45DgblOhmcl8LAXGXKTvn9CQNkWabx0UdpfvIpAFwnnkjev/6Z5DqzNyBGJIL+CO0NAT59fCmRkIgsuWODTVYEnROT1cDJN40mNdv2m2tw+d3tNFVsoWjoAeqA1aeP3s/a2T912d6RkcmZ/7xfzYIa9HoxWizo97JyNKIvQrjKExd7bSFEd1idTz2pX2fLXhfoHEZcU0vVRCqiN0xoY1vc8pdiSoq96xF+z3VGY79g6+eZrgawC+9VPC5mLJnBk0uf5PSBp3P9mOuxG+1sC1mWaa3zU768mfKVTdSub0eKWTr/9J9JaqKYllofZqsBe+qO1QvV6AIxCvUrIGcY6GPX5I+uhMWvJrezpkPROCgcqzw32NI79wXIopiUKHD94YcTrdnxMjel773bbQLG3UVPa4PezN51l94LcR5Vkuyu4ytPctdJOaIYc6mTwMpmbCOyAGh87DEi1QFaP/LT9uG7pBwxFMekvknxFrsag8lEbr8B5PaLxzmK0Sgt1ZVJYrFh8yYioSC169dSuz6eyCKxfEZOrIRGVkkZRvOuyfplO/BASt96E/fnX9D40ENEamqovfVWWl5+mZy/3ox9woRdsp99Dp0epv8fGG0w/yn49HqIBGDilbt1t23+MKm2+Pl6/VtL+Gx5LeFo5/qMggD+cBSbSbkc/f34IViMOkoz7Rh3oYWkAzkcpub223F//AkAmX/+M5lXX9XjcSgBb5j2hgBBX4SQP0rIH3v1Ke9HHFlEZixhxtp5dfz46hqikS6+T50TQRd3tY8Eo7z5TyVhhsGsx2IzYLYZMNuMmG0GDjiskMJByg3f2xqiZkOrus5iM2K2G7DYUygelmxNPfaqG5l46pk0VWxRLYuN5VtwN9YTaG/Dnhp/iPjx5WdY88tM0guLySoqIbOkTM2OanOl7vHvXgpG1Xg+sS1ENCF7p2NivprEJFLl6VbsAYobaAxjlg37xDwllq9D8KWa0Ts7iz69w4RthObyprF3sfXzjGWr5xnnUUpyPVmWaQ22AvDW2reYWTWTf0z4BwcXdu2mv3ZeHfM/2YS7KZi0PDXHRsmwZKtret62BaZGF/iaFStghzWweiFE/HDpTMgfqbQpngjVi6FoLBSNh8JxkNG3W0NGIltnjy979138c+fS/tlneL/7fjd8II3diSYMdzM76q6TmHEs59ZbqX/wY+SoAcjB82MTnh+bMBbasQ7Lwjo0A2PW7q/zpzcYyCopI6ukjKGHHgF0Uz5j80aCPq+S+GbLRlbEEqImls/IiZXQyC7rq8Yz7SyCTofr+ONIOepIWl95haYnnyK0ejUV51+AY8oUsm/6C+Yualvu9+h0MO0+MFrhl0fgq9sg7IdD/rJDF/1tEYqKbGjwqtlA18SsgO2BMKv+eYwq7PQ6gXBUwmbSMzAhG2hHZtAOUQgwvNDV3e52CZ5vv1VEocFA3l13qglnfg+SKBEKKCLOnmrGaFZulI0VHspXNBNURV6H6FPE3pEXDKEgFme0aXEjP77WfUmAkuGZqjDUG3RdisKuSPQJiYZEvCERb2tc0PQ7MC5QGsrdfPPcqi77MVr0HHL6AAZNVBJmtNYHWPq9F7MtD7OziH7jD2foYQZ0ujCRYCuRkKwORrfW1SJGozRu2UTjlk2QkDXZnprGJTNeUK2JnuYmrClODL/ReiuFxKQSDWJ7CHP/NMwlilgOrmul6fkV3W5v7uNShaE+zaKmzO+U0CX22oEh3ULaif1+0zFraOwNJD7PRIZm8M1PbUwZn4FxZXPS84wgCNw+4XaOLDmSO2ffSbW3mj9/92em95nOn/teS9v6CAUD00jLVZ4FdHoBd1MQnUGgcEAaxcMyKBmWQepviJ3VSGDtF/D17dDcRaZiswvaq+LCcNQ5yrQLMKSn4zz2WIwlJZow3AvRhOEewHlEcTxe49Gt5rvAkJZGwb/Pwzt3BS0vfYksZqFP70Okykekyof7yy1kXzMKU/6er0+4I+UzOgSjr621+/IZMRfUnNI+ZPfph82542JAZzaTcfHFuE4+maYZT9D65pt4f/wR788/k3raH8m66ioMGTsW27HfIAhw5J1gcsAP/1amiA+OuGOHxKEsy9S2B8l1WtRYjn9/uooXZm9B7CKxgSBAebOfftnKOXr14f24+vB+FKXZejwWJGXaNDJWr8E2fjyOgyaryyVJJhyIW+qCCSKubEQm9pgI2LSkkWU/VKrWvKA/QiQYj6M44dqRFA1WrGUN5W7mfbyp22MJeOKu2janCWemRbXWdVj1LHblNT0/PqBSPCSdc/89EbPNgNGs56tnVrB5WRNyF1pR0EHpAZkcfu7gLj9bTmncumiy6CkYmJrUpuOzRYIiOkP8t2tvCLD6l+7dhQ45o57hUxQXnUPPvZWvnpmDTmhBEhuJhhoI+eoI+ZuQJCMtNQGyihXR+8nD91K3YS2pufnqwFRHhlS7Mx3JrSRsMaRaMGQqccbhKg8t76xDbA93mTzDqRNUYdhRWkGwGDCkmpISuehTzUnZN43ZNnKuHd3tZ9TQ2N9wHlGMYWwur90xl7DOxneLmzjrzgnYuvBompA3gXePe5cnv36ZtUuqsS4ZwkcBxQI/bnoZY49TSnsUD83g2CuGUzgoXR1U09hBAq1QtTBmDZwP4y+HgbGi9UZbXBRmDoi5hY5TXjMHKoPGGhpboQnDXoxjwjDs44fi+fJL6h/+L4IuF+uEE9HZsjDmxh8S27/aghSMYh2SgbmPa5cmKNgRdqR8Rv1mxZrobmyIl8+YOyv+WTMyE6yKO1Y+w5CeTu7fbyft7LNpePBBvN99R9sbb+L++BMyLr2U9PP+hM6yfxewTUIQ4NCbFMvh13+DWQ8rbqVT70m6QfjDUdbWeVhT52FNrZvVsVd3MMrMm6ZQkqGce2l2E6Ik47Ia1Sygg3JTGJTnZECOI8kK2LHNnsTbGqK13kfIF8W7qYqo2UFE1BH0RQmlHMWE/nHr8pJvK/jl3e7rv7myraowDHjCVK9t67Kd0aJHTLDkZRQ4GDw5L+6aaU8WfanZ8QRKZSOyKIu5k28Pk9WAyRr/fg89axBVa+cSDnQWRSaLgSlnDcJiN2KxbzsOuHBQuupW2kGiNdSa8PCXlmtj/Al9CPkjBLuwhiY+KAZ9UfxuC5Afm0AwgdkYQZR81G1qJzPPhiTKuJuakWWZcKOXlLAN3WY/AX0VjYZ23Pr49+U8ugR3XpjmWoEUwYSpPl6VTzDr1eydBpcZY8IgmiHLRv5dk9BpD6AaGjuNLMvMfH0NkVAUBIFwMMrMN9Yy7bLhSe387jA/vbmOytUtWAODGImStEZCIrPMhjMz/l82Ww07fO3b7wm0wepP4m6hjWuS12cPjQvDwgPh7HehYEy38YEaGlujJZ/Z0/zGAH8pEKD19ddJO/tsBKOSnS60cSO61DQan1iH5FMsD4LFgHVQGpahmVgGpPW6h5/E8hn1sRIa2yqfsbVY3Fb5DN+8+TTcfz/BlcqIpCEvj+zrr8N5/PF7bYKa9QvqmfXUfA6+fPyuTcP967NIn/6FCjmb7FHHYjvxQdDpefqnjdzzxZqufg4MOoEXLhjLwf2VG3iTN0RElMh1WnZpjJgsy0RComqxSsuxKZnogJr1rZSvbEkQITELWOz9ideOUi1Pi74qZ84HG7vdT6Jlb+XP1aobZ1dxeGOmlaqWtbYGPw3l7k5xeGarAd0eHpRJZP2Cer5+tnM83NEXD+2UlXRPE/JHaK3zE2wJEt3SjtQeRvaGEfxRdMEoFgEIijiPKqEl28YX/5uLJdrKUemlnfqS9QLGDAv2cXm89PxNhHxu9Lp0sm2DCGAmRAqiLgOdIZVJJ/dn1FGKd0Z7Y4B5H23ErIrz5N8vNdu23ya02G3XGY19ju6uM+NP7ENWUYoaEyiKEs/d+DORoIjFoZSTKBySijennrGlcSv8koYljMga0eMx3r2SoFuJBzRaoTiWR6G1HB7dqo53ep+YJXAslB0Kmb2j5nNHybbtoSWf6V1oFsO9BJ3VSsZFF6nzsihSfeNfiNTWkX7+X9APGkZwTSuSL4J/SSP+JY1gEHCMyyP1hN4Td7ft8hnxmMWO8hlbli5iy9JFatttlc+wjx9H6TtKSYuGhx8hWltLzc1/peWll8n+683Yx43rgU/82/G2h/juldWIOhvfvrya3H4uHK7f9uDa5g+rFsA1dR7W1A1mbfRVAqLAS4vu5VDpMvjDk+SnWpFlyEoxJ1sBc530zbZjNsQHGjId3R+LLMtEw5JiTfJ1ds8cPDEPi0OxXq2eXcOKn2rUNmF/VM1GB3DabWNVsVe3yc2iL8u73CdA0Bd3zXSkmXHZo1BTjjHiw5JmJ23KZKypVsw2A64Ea13/sTmUjcjCbDNsN3NnaratV8a+9BuTzYYF9apLqaBTrJC7WxTKkhzL1hlKKNUQJhp7bxuVTcpBBeT2cRGxG6h/d123fYmeMKVHFHPFE8cT9oZx/1CJZDYQNeoIIeEN+yk4oIj0PAchvw/9y8otTJRaqPXOTupLZyjBaLpVnd+8ZBnr5jch6LouczP+hD4ceGwpAM3VXj56ZHGCW2/cpddsM1A0OI38WFx4NCLS3hBQ1tkNGIy6veoh1+8O8+NrawnrbPz42hry+6d26RaooaGcK2u6XDfvo0040s386e5JCIKAXq9jytkDcWZYtyonUaBu82vdr1z41YVMyJvAHRPvoDBlP35Al2Vo2RQrGTFfsQbWrwRkGHhcXBimFsOg4xXx1+EWau+dtZ0NaWkIJhNyONxtG8FkwpCW1u16jT2PJgz3INXV1XzTvz9HVVdTUFCw/Q22QbSpCWQZqb2NpkdvxzxgANm33oox7wACK5sJrGxGbAkimOIPuXJEwjuvFuuQDAzpvcfF0mS1UThoKIWD4iNGHeUz1AQ3W5TyGSG/j6pVK6haFU8e0al8xvChlH7yEe2vvUHz008TXLmSij+dh+Pww8n+y18w9ynriY+5U3yxvIYfn19NYQh0gkAkFOWfd87i8IuGcMywvG63i4gSm5t8pNtNqnD7aEk11765pIvWAma9TIOQDsvfgUiAw6Y/zYLbj1S3TUxH3lbvp6bOlyT0Eq12U84ehCNN2W7uR5u2KeAKBqSqwjDgidCwxd2pjc4gYLEZk5Ks5JQ6GX5YYcyiF8uYmfDwnpJpUY879Zc3GfNZrBzFH/5A3j/v6rYchcliwNR7/hK/Cc/3lQzf0o7ZZmC1J8Jgm5H+m9twf1fxm2vSyaKM6Iln7+xI6mIqdWIbrliOo00B6h9a2G0f0YK4G6c+1Yy5jyu5SLvq8mlCSHCPNTlMZE7vflDLbLNzxdMvE/C4k7KiNlZsprmynEGTh9J/nFIeIuT3892z/1L6tbqwOvMwWXMwmLNBl4kkparnLkDQGyHgiSTFgCaiN+hUYdhW7+etf/+qrus4bzvOycGT8xgyOT92HBHWzK2Ln79bncd64561OO+oW6DG7iMaERGjMlJUUl5FCTEqIYnK4FhGwv+ndmM7AU8YSexoF3/V6WDYoXFhtfLnalrr/EiijChKCf3LgMwxl8Z/41/e20D12tZOfXa8XvTfgxB0AjNfX0M40H1dOllUBgQ74gQHxMqzdEeVpwqz3szc2rmc/PHJXDv6Ws4YeAb63VwnuVcgiUrWcABJgkeGgbu6c7vUYnAlPC8KApzx2p45xt+JMT+fvl9+QbS1Nb7w+uvh4YfVWUNamlbDsJexzwrDGTNmMGPGDMLbGKnY0yxdupQtKSksW7bsdwtDY04OZe+9S9s779D4yKOE1q2j8oILSJk6lZybb8J17IFE6/0IlvgFNrixjfZPN9H+6SaMeXYsQzKUDKd59l43wr2t8hkd8Yo7Uj4j60+nYdtcjmHWXMQffsA7cyZpp59O5lVXYkjvnT73X66o5dEXljE9EBcxOgRKAvDI80vhQpg6NJdGbyieDbRWiQnc0OAlLEr888Sh/GliKQBlaTbsEpSkWOmfaqO4XyoDC5wMynUi1PipmWvi27WjCM2xElr0AUFbX0IBkZAvypl3jMeVpVhYVs+uZdFX3Ys9vzukPlybYw/4Op2guFluZXlJTDDQZ2QWabm2Tg/KXVleCgamUTBw26OLUjhM7W1/w/3ppwBkXnklmVdd2evO8V2J+7sKNY38AINAhl0gI5YopmP51uJQlmRET1zw6VPNmIsVd9loS5CGJ5ciecLQhVuxPSKpwlDvMoFeSMjWaUoSfsYE66rObCDr0gM6d/g7sKY4KRp6AEVD4/1Kkkg0HMZkUc5Db2szrpxc2uvrCAfaCQfagbjlY/gRUxk0UUlEFI1E8Hs2cMI1/RD0DsIBsZPlOzFhTzQiYXEYCfmjyJKMFJXxu8P43cq9p2R4PBGWpyXIrLfXd/tZRk8tYeJJihj2u8P88OqapEGQxMREabk2XL8zO/WGhQ1sWtKkzsuSkh13/YL6Hnc//q2Eg1GkaEwMibIismLzBqNOzYQJULGymUhYTGrfIaCsKUYGjIsLm18/20zAG4m3UdvL2FPNHHJG/F715VPLaWsMxNop7TsEmiPNwhm3x71X3rt/IU2V3i4/i81p4oL7D1Ln57y/gdqN7V22NVr0ScJw4+JGKle1dP0lbXUpdDcFaKzwdN0WkESZ9jp/0rnSFb72MO7mABk7mBjvpP4nMTpnNHfMvoOF9Qu5d/69fLH5C/456Z/0Se2zQ33sFcgytJVD5a9KgpjK+YAMl8XqwOp04CoCX5OSJTQxSUzKtsV1b8eYn58s/CwW2MNuoxo7xz4rDK+88kquvPJK1Y+4p2hra8PvV5IirIzFvq1YsYIRI5SaYDabjdTU1N/Ut2AwkHbmmTinTaPx/x6j9c038Xz1Fd4ff6T07bexDBywVXsBcx8XoS3tRGp9RGp9eL6rQJ9mxjokA8fkgl5lSdyaxPIZcCSgPAC21dUmlc7YunwGAH3zEAB7MIzz529JnfktRVOPoe8ll2FN6z0CUZRk7v1wFdP9RmRkhIQ7uIzM0X4jz7y1Ct2hQR7+fC0WGSyywAJzlEis6eSoEc+Hlbz4UTUhX4RoROLPWMENVPs554wRqtib80s9y5YYgEOUjUOAO6DuM+SPAEpbV7biEqTG320Vq+VIi587w6cUMuzQAoxm/XYFWWqOjdScXeeaWfu32xVRaDCQ989/knrySbus795KYm0xgAyjodN6+/hc2j7eGLf8ecKQkMXUPi5XFYY6uwEpJmzQC+idpiQLX0eGT1DEXsG/JiP0cLbZRHQ6PSZL3GU0o6CIi//vWcIBP02V5TRVlNNYsZnGcqUGY1Zxqdq2uaqCjx+4CwBLipOs4lIyi0vIKi4jb2gpGUUlSfVZc8tcXPTfg5XY2KAYL00Ss6YnChGDUU+/MdnJsbG+CKFAFGTl4b4DvzvElmXdP4iPPLKIyacqsUSeliCv3zWvU2xsx3+0cGAapcMVdzNRlBQRIMGPr3btFjjz9bUUDEjD6jASCkTjAmsrS5XFblSTiIgRifKVzV22k0SZ1Bxb/BgiErM/2JAgshLFk0xOmZMDpym/iSzLvP2fX5NEniTGtykclM60y+PWr+dvmpWUACqR/P6pnHRjPL7tmxdWEfR2bRXOLklJEoarf6nF0xLssm1abvL1q7XeT0uNr8u2RnPy/hKzNOv0Ajq9gN6gQ6cXsKYkJ4tKz7cjSbK6vuNVp9dhNCdbm/uNziaryIFOr0NvUNokbpPoDTLmmBKGTM5HZ1BcQNXXWHu9QUd6vp0+IzO3mf24bETWDovCDkqcJTw/9XneXfcuDy18iKWNSzn1k1O58cAbOXvw2TvVV69j8atKyYiqX8Fbv9VKQYkhtMSupac+r7iEGvbPOOe9gRkzZvDAAw9QV1fHiBEjeOyxxxjXTYhSJBLhnnvu4aWXXqK6upqBAwdy3333ccwxx6htRFHkzjvv5NVXX6Wuro78/HzOP/98br/99h4dyN5nhWFv4ZFHHum0zOfz8fTTT6vzd9555+/ahz41ldx//J3U00+n/j//QQ6FMA/oHHxs6ZeGpV8aoi9CcE0LgZXNhNa3IraG8P5Sg3183EVRdIfQWQ0Ixt7t0qHT6UnPLyQ9v5DBCeUz3I0NqlWxfvNG6jdtwN/ehtdiwmsxUQOsWvgLLPwFp8NJ7tDhZPeJuaKW9d2p8hm7knmbmhlRJ2FClyQKAQQEzMDhjbD+3c0cT9yiOPGwYgb1S2NwnpPKH2tY/HUFvuSNMVuVB0Uxoch8wcBUAMWVLVCO+deHMItNmPNKMZ/yIPbc+E1+yOR81SVue/RkyvGMiy/G/+uv5P/nbuyTJm1/g70cWZKxT8zDNyehdMRWNxXnUSUIRh2BrYWGDvTOmOBLGBTSmQ1kXzUSvcuMzm7crujrTaJwW5isNvIHDCZ/wGB1mSzLSGLcPS4c8JNeUERrTTVBj5vKlcuoXLlMXX/wWecz7kQloYK/vY2adWvIKinFmZkdzxbbTbWc1BwbUy8Z1mm5LMmEg9Gk79HuMjPl7IGqwNw682tiVsegL9JljcoOBEFQRZmvLcR793Xv+guoLqUH/bE/L982u9t2Qw/OZ8rZSrbJSEjkiyeXd9t2wPgc9RhkZJZ9X9Vt28TTVxAEmqt9yF2UxVH2m5yJV68XECNKHzqDDn1MOOkMguq+3kFOqZNwMKoIIL0u3t6gUwfPOhh2aAHhYDRJjHUIrq2z/R565kDEiITOIHQSZoat3IVPunE0gk4RhNt7GOz4rneEIQftuHtedsJAz7bYXvbjQ88cuMP7TEQn6Dht4GkcUngI/5r7L36q+gmXuWfuwb+J9molNrBmERx5V9xFdPPPsEbxXEFngLwRcUtg0bi4KIRkd1GNXsdbb73FDTfcwJNPPsn48eN55JFHmDp1KmvXriU7u3PCrttvv51XX32VZ555hkGDBvHVV19x0kknMXv2bEaNGgXAfffdx//+9z9eeuklhg4dyoIFC7jgggtwuVxcc801e/ojqmhZSXczy5Yt48MPP0SSOg+xCYLAH/7wB9V6uCuQZRnJ40HvVC44otdH7W23kXnF5VgGD+7UXgqLhNa3ESp3k3psPPau+bXVBNe0YBmQhmVoBtZB6ehs205139vpKJ9Rv3ED1XNm0VC+mUA3WSTj5TNi9RZ3oHzG7yUYEfnHS4spWdA53m5rDKlGsrPtWB1GzDYjY48rU904W+t8eFtDSa6bJothxx7eqxbCqydBsF25iZ3zAdh7f01I0etD74hbZqRwGN1vLJDe25ElWf0tpUCU2nvnI4e6j/sx90sl62LFouKdXYMuxaiWcdClmPYaUbeniYbDNFdV0FRZTmP55lgM42amXXkDZSPHALB2ziw+feReAExWKxlFJWQVKzUXM0tKyS7tk2S53F2IUQlva7BTjcqQP0LIFyV/QKoqylrrfHzw0CIC7q4tZYmceP0oPnp4MUCSNUmnVwRU/7E5TDq5H6AIw48fXRwXQgYdOl3MQmUQyOvjUl0dZUlm7kebOlmoOgRUSqaFooSyKZWrWhA6rGlbWbSMFr1aSgaUmD2dXtfj9VL3VXZ39mNZlplbO5cJeRPU++3alrWUOEuwGHqBR1M0DHXLFHfQjpIRibGBV8yGnJir5IZvoW4FFI1XXESNu/9a0Ov5jZn5dzU7qw3Gjx/P2LFjefzxxwGQJImioiKuvvpqbrnllk7t8/Pz+dvf/saVV16pLjvllFOwWq28+uqrABx//PHk5OTw3HPPddumJ9AshruZAw44gMzMzCQLYQeyLDNv3jxsNhv9+vXbJaJDEARVFAI0P/UUnq+/xvPtt0rx92uvTcoApTPpsQ5VYg0TjyvS4EeOSGoim1YdmPukYh2SgWVIBoa9MK27Iy0dR1o6fUaNhVPPRAoEqHn2GcrffIM2HbRbTXgz0/GIEbzNTXibm9i4YJ66vVo+IyYYt1c+Y0fwhaLYzcrf0KTX8V1VCycJOtLkrgWrhMx6g8SZl4xgYt+uBVtarj3JfW2nKBwD538GL/8BapfCi8fBnz6ClN4bb+T54Qdqb7mVwhmPYzvwQIB9RhTKsky0MUC4wk24wkOo3I0hzULm+cqDh85qQGc1KK5z3VhUQhviCWgck7Qg/x3FYDKR06cfOX36JS1PHEsVdAJZpX1oqaogHAhQu24Ntevi7pnTb7iVAeOV2MXm6kqaKraQWVxKWm4+Ov2us6rrDbodjjdMy7VzwX0H8eVTy7frFlgwIJUrZkxB0G3fmmU06znl5gN36BgEnaDGUu4IRUN23N3f0Mu9XPZ2dnf2Y0EQmJg/UZ1vD7Vz+beXYzfauXPinRyYu2Pn2C7DUw/mFDDF/l8/Pwgz701uI+ghd5hiDUwUr/2OVCaNXovH48Htjg/Gm81mzObk59twOMzChQu59dZ4lmudTseRRx7JnDlzuuw3FAph2aqOttVqZdaseP3uSZMm8fTTT7Nu3ToGDBjA0qVLmTVrFg899NCu+Gi/GU0Y9iAGg4Gamhpee+01ioqKmD59epcm6d9D2plnEKmuwv35F7S9+Rbuz78g6+qrSTvzDARD1z+/IAjkXDeaSI2PwMomgquaidT5CW1oI7ShDeOienKuGrVLj7Mn0FmtFF59DblnnkXjY4/T9s47UNFA1GREPv5YwmNG0lSvxC82b6N8hlJnsU+n8hndUdce5IsVtXy2rJYtzX7m3no4Br0OT3OAiyN2JFlxBesqxjAswLJcHQ+X7ca4yNzhcMHn8PKJ0LgaXpgG530Mrt6XSrz1zTep++e/QJJoff11VRju7Xh+ria0oZVQhQd5K7ctsT2cZDXMuuwA6u77NbkDWU7yx3N/U/6bM5NqJJMokAaMn8yA8ZMRo1Faa6vV7KhNsQypibGLG36dy6w3XgLAYDSRUVRMZlEpWSWlZBaXkt9/EEbLnrGICIKwQ26BgiAg6DXLm0acpHPHH8FkMf5mF9IdocpbhQ4d5e5yLvjqAk4feDrXjb4Oh2nnYhl3CDEC9SsSksTMg7YKOON1GHSc0qZwLFjTYwlixirWwILRYPqNg7EaPcqQIUOS5u+4445O4V1NTU2IokhOTvLgR05ODmvWdB2nPXXqVB566CEOOeQQ+vbty3fffcf777+PmBC2cMstt+B2uxk0aBB6vR5RFLn77rs5++yeja3VhOEewG6343A4cDqdjJ47l0UTJuB2uzn77LNZtmwZ8+fPp7a2ttPowq7AmJ9PwUMPkXbmmdTd/R9Ca9ZQf/fdtL39Fjm33YZ94sQutxMEAVOBA1OBA9fRpUSbAgRWNRNY1YwlwcVHCkZpeGIplkFpWIdmYipK2etc0wyZmeTddSfp555D/QMP4Jv5E7z/EeZvvqfs8stJ+/eDiAI0V5SrSW7qN2+kqVIpn1G5ajmVq+KxNQazmaySMtWqmF3WFyk1h69XN/HZslp+LW9RC8gLAqyscWOrD/HDq2uQgiI6s465hBgXSnbdFRD4xhrmlj+MQL+7v+OsgYo4fOlEaNkIz0+D8z5SCun2AmRJovHhh2l+5lkAXCefTN5dd/bsQe0ksiwjtgQJVXiINvpxHV2qrguubia0KZZ90KDDVOjAVOLEXOzEVJz8HzOkWXAeVZKUgMbsKyfkiPfnPKpkd3+c/Rq9QcmCnFlUwqBYrPPWWFOc5PUbSGPlFqKhEPWbNlC/aYO6/k/3PxZLrAVVq1fgbmwgs7iU9IIiDMZd78Zvc5qYcvbALt0CDz1roFbLUKNbOs6dWU/N5+Czx+/Wc2VoxlA++MMHPLTgId5b/x5vrX2LmVUz+ceEf3Bw4cG7Zie1S+HL25QYwYh/q5WCUl+wg76Hwc2bOsVxa+ydrFq1KqlKwNbWwt/Ko48+yiWXXMKgQYMQBIG+fftywQUX8Pzzz6tt3n77bV577TVef/11hg4dypIlS7juuuvIz8/nvPPO2yXH8VvQYgz3ENFoFL1ej3DiicgffYQoihhiFju3201VVVXSyMXMmTMZMGAAeXnd16zbWWRRVMtbiG1tOKdPp+CB+3e+n4RsZv6lDbS8kVAmwmFU3E2HZmDpm4qwnWLhvRHf7NnU3/8AodhIkLGggKwbrsd57LFJ1oKk8hkxsdi4RSmfkciylKHMzDg46UZyQLaFE8YUM21oPuu+qmTVzzUA5PV1cdRFQ5lV3cIPz62iKCigQ0BCptLKdusY7nLaq+ClExRxmJIHf/oYsgZsf7vdiBQOU3vLrbg//xyAzGuuJvOKK3p9OQo5IhKu8hIqV9xCwxVupISMiHl/n4A+lsTCv6wR0RPGXOxUysnswP+oo2SF86gSnI9ehfvax+PzmrWw1yBLEm0NdapVsaliC01VFZz3wGPoDcrv/9WTj7Lih28A0OmVBFuZxYplMauklOJhI3eJWJRlOcmltMMtUKtjqLFD7OF4sbm1c7lz9p1Ue5WYvul9pvPPyf/EoNsBG4ckQsPqeLmIskNh5JnKuuaN8FgsW63ZBUVj40liCsYkJ4nR+H3shTGG4XAYm83Gu+++yx/+8Ad1+XnnnUdbWxsfffRRt9sGg0Gam5vJz8/nlltu4dNPP1UrFBQVFXHLLbckxSH++9//5tVXX+3WErkn0CyGewhDgtumIAhJ806nM0kUVlZW8sMPP/DDDz8wePBgDjvssF3iYiro9aSdcQbOadNoeuJ/pF94gbou2tyMzmpFZ9t+nEriA7hlUDrpZw8isLKZ4JoWJG8E3/w6fPPrEMx6Ms4ahGVg7ykHsSPYJ02i7L13af/oYxofeYRIdTU1N/6FlpdfJuevf8U2WrmBJJXPmKLEETS4/Xw4Zx3ZkRbS2rbQsHkjbZWtIAjkBuvo79tIP99GHJt9uOfr+Dq/D6HwMYCR/mPtHHzaQKwpFqal5zPoAjefPLEFGSMyEa44v5SyPSkKQXEfveCLZLfSP32ouJv2AJLPR+Vll+NfsEApR/Gvf5F60h965Fi2hSzLiG0h9E6z6orX9vEmfL/WJTfUxyzzxc6kGEHbAVk7vU/nEcVxAfjoVvMavQZBpyMtN5+03Hz6j+s6a25GQRGFg4fRWLGZkM+nlNioLIdfZgJw9UvvQEwYrp0zi5DfqyS8KSrZKXfUDrfAipVfEw65Mdudu9UtUEPj9zAhbwLvn/A+jy95nFdXvao8S3UnCqNh2PxTLEHMfCWxWjihVmPEHxeG6X3gxCcUEZg5QKkrqKERw2QyMWbMGL777jtVGEqSxHfffcdVV121zW0tFgsFBQVEIhHee+89TjvtNHWd3+9Ht9W5ptfru0xWuSfRhGEvxG63M3z4cJYvX87q1atZvXo1w4cPZ8qUKWRk/P4MkXqXi5xbk7Mo1d31TwJLl5J90004jzt2h60vOrMB2/AsbMOzkKMSoU3tisvpymYkTxhDTtzvPrC2BbE1hHVIBvpe7qYk6PWknnwSzmOm0vziizQ/+xzBpcsoP+tsUo4+muwbb8BUorjnNXtDfLWyns+W1zBnYzOSDH8cU8gD5xwOwCmSxDmbq9E1pVG/2UTDFpNaPqOlegOC/n0EwcDyrytY/jU4M7NJzcvH4khB9NWjsx2G6P+eoPsE6jcZsDqdODN3bSzqNknJURLSvHpSLCHN8XDO+0qimj2MYLViyM5C53BQ+H+P9ppyFHJUIlztJVzuJlzhJlThQXKHyb5qJKbCFABMxSkE1rRgLknBVOLEVOzEVODYK63qGruXA6efzIHTT0aWZTzNTUmxi0GfNynT6ZKvPqVq9QplRhBIzclVRGLMuthv7MRtXs+j4Tb8zc8hiRGiASPR8DhgD15fNDR2ApvRxs1jb2Zq6VRKUmIu8pJEY9U85LCb7H5TlWWyCG+cDlJCDK3JAYUHKtbAPgku34IAo/bymokau5UbbriB8847jwMPPJBx48bxyCOP4PP5uOACxcDypz/9iYKCAu655x4A5s2bR3V1NSNHjqS6upo777wTSZK4+eab1T6nT5/O3XffTXFxMUOHDmXx4sU89NBDXHjhhT3yGTvQhGEvJD09nVNOOYWDDjqIH3/8kdWrV7N8+XJWrFjByJEjOfroo7Fad13aY7G9neDKlUTr66n5y19ofeMNcv92G5atgnK3h2DQKeUtBqSRekJfIvX+pOyl3l9qCK1rpe3DDZiKU7AOVTKcGncwm15PoLPZyPrzn0k99VSaHnuctvfew/P117T98COzT/0zP+UMY05FO2KCtWdEoYsRRanxPnQ6BvYtgr5FlIwYx8w31jJkSjqFA80xF9QNNGzeRMOWIO7GBtxNytRBqH0dCAKfP/4gAHqjkQsfeWrPikN7huJG+tofldHXl0+Es9+Gkj0rzATd/7N33uFRFV0cfrdmN71sekIqLbRQQgcBQQVUxIKCvSBixd4FO/aKjc8uggoqKlhQ6TWhk1BTSO892/fe748bNoQkkJ4F930eHrL3zp07uzt7Z35zzpwjJ/jll7Hk5OAS3fX7HY3Hyqj86zjmnGqwneKVL5dhLTbYhaHr4EBchwQ6vMurE8dBJpPhqfPHU+dP9KCERst06zsAhUpFcWYGNeVllOfnUZ6fx9EdW3Dz9qlnldy1eiUyudwuHDXu7hgqKxFskkuzYLNgqKzs3GeLEyctxVjJgMpSSP4DsncgZieywEvNbq0rD4k1TI+djkylhV4XSykiTgSJCehdl2PQiZMWcPXVV1NUVMQzzzxDfn4+8fHx/PHHH/aANJmZmfWsf0ajkaeeeoq0tDTc3d2ZMmUKX3/9Nd7e3vYy7733Hk8//TR33nknhYWFhISEMGfOHJ555pnOfnv1cO4x7GCMxlzMltK6A/Puh7ffsr9Uq/zQaE7vHpibm8vatWs5evQonp6e3HvvvfVcUdsDwWik9PPPKf5kMaLBIK08X3kl/vfPQ+nbPq6gVRtzMOwrwpxVVe+4MkCLtp8/nhO7OfSk2WixQVoqha+/TvXGjdx+/iNke0gTqL7BHkwdEMrUfsF082tc6BZlVfHn4gNUFBpQa5Xc8NJIXLT1v8fMA3v54fknz9iW615+u0EY/U7BVA1Lr4GMjaDUwsyl0mb8DqRq7Vqq/v6b4OefR9YFLj6iTcCSW1O7N7AS18GBaGvdo42p5RQvlgIPyd1UqLt52IPEqMLckau7aBLiIPs4nHQu+oryelFRVRoN599yh/38x3fcQHVZ3Xjk6uWNm48vRRl1wTWm3P0gvqHhne+Z4OTsoyueM0uugqNrgLqpa6VcxuzgIFLUknv18ODhzB8xnzAPx4uk/Z/HQcamrtYGjozTYtiBCIKJxMTpmC3FdQevBRKn2V+q1TpGjdyAXN50JKSQkBCuvfZasrKyMBgMdlFos9nYvHkzgwcPxs2tbaGS5RoNurlz8brsMgpfe53K1asp/+EHKv/4g/BPPsZ1YNvTU3iMCcVjTCi2SpPd3dSUWoG10IA5o6KeKDRnVaEKcUPWRAL6zqJCb+GvlHxW7c9jT1Y52x4/n26LP6F602ZmfPILpZlJjMndS4SvKwE9H8Cjkaidoiiyf10Om1ccRbCKuPu4cMGtfRqIQgDvoGAUKhU2i7SCL5PJOHXtRqFSofXsos3wLu5w7Q/w3fVwbA18ezXM+BJ6Tu6Q25V++y0FL7wIgoDrwIF4X3llh9znZASzDdPRckyZlZJraHY1WOt8/hUearswVId74DOjBy4Rnih8NQ69sOHk3MfVy5uIfvFE9ItvcE4QbPQZN4mizHQK01OpLi1BX1GOvqLcXkbW1Z4JTpyYayBnV12QmJJjcFdi3b4/Fw9ABO9utQFihuEZnsAS/158fXgZi/YsYlveNi7/5XLuHXgvM3vNROG0Ejpx0mycFsMORBRFEpOmU1V1gJNXt+qQ4eHRl4QhP7VqQrl7925WrlyJSqVi+PDhjBw5st1cTPVJSeS/+BK2sjJiVq9qVlCa1iAYrBgPlyLXKu1BamxVZvJe2o7MRYm2ty+aOD80PX06zfpSabTwd0oBv+3LY+PRIiwnuQh+dctQxvaQAoOINhsVP/1E4TvvYCuSxL82Pp6ARx+xC2ljjYW1Xx8ibU8RAJH9dZx/Y280bk1HFKwsLsRQWUlpTpZ9knYCD50/0x58smushSdjNcHyW+DQbyBXwuWLoe/l7Va9KAgUvvEGpZ9KoZ29rryC4PnzkbVz2H7RJmLJrwFAHSrlxbKWGRvkBZS7KlGHe6Du5ommhw/qcI92bUe74yCrsk4ck4K0Y3zz+LwzlguK7Umf884nZshQPHx1Hd8wJ2cX7fWcSVsHB3+TxGD+AWl/4MnclVgXDbs0XXIP9QhqtKrjlcdZsGUBSQVJAPT3788b571BkFvj5Z10Mg4yNjkthk3jtBh2IDKZjJjoB9iz9+YmSojERD/QaiuDt7c3wcHB5OXlsXHjRnbs2MHIkSMZPnx4m3OxuA4ZQtTyH7Dk5NhFoSgIFL7+Bj4zr0EdHt6m+k8g1ypxja+/Im0tMiB3VSHUWNDvLkS/uxCUcjTdvaVUGHF+9rD+7c2ve3N58Pu9mG11FqIege5M7RfC1P5BxAbUCQKZQoH3lVfiOXkyJZ99Tslnn2HYs4fjM2fhcdFF+NwzjxWf5VBVYkSukDHy8lj6Twg74/ftqQtodJXe1dubquIi/vzoHWY88zIa9w5I8NtclC5w1Zfw8x2w/wdYcStYjRA/q81VCyYTuY89RtXvfwDgf9+9+N1xR7tY42w1FsxZVZIl8Hgl5uwqRLOAprcvuhv7AKDwdsElxguln9buGqrUaZ3WQCfnDFpPz0Y9E071UMg/dpj8Y4f559MPCI7tSUzCcGIThuMX2j7Pfyf/MSxGyNsjRQoddANofaTjaeshcXFdOc/Q2n2BkkUQn8i6c75Rp71FhGcEn174KcuPLOfNnW9SZizDy8Wr3d+KEyfnKk6LYQdTZzVMBk4OQSvDwz2OhISVbZpwiqLIoUOHWLt2LYWFUsASrVbL6NGjGTFiRINQuG2hfPly8p56GplKhe/NN6ObczvyNrqwNoUoiJgzKzEkSy6nttK63IA+V/XAbXCgvZyslcneq01W/jlYQIi3loRIyVqZVlTNhDfWE+PvxsX9Q5jaP5gegc2zDlkKCil69x0qfvwJRBFUKnKmPEqeMpILb+9HQETL3D8riwv5bN4cbBYLCpWKK554jt/efgV9RTnBPXpx5ZPP14tO2CUINvhtHuz6Sno99U1IuLXV1VnLysi++x4MO3eCSkXIC8/jNW3amS88A6IoUvjubix5NQ3OyVwUaHr54jezV5vv4zA4yKqsE8elKc+EE3sMTQYD+ccOcyxpG3lH6ufUuuCOe+k3/oLObrKTrmbty1LwlvNqIyue/JxZ/6o0Hox/vK58RbbkDpqdKInBvH0g1OZunfUD9KjtQ8e3wsFf6sSgV/vM1fJr8ik1lhLnJwXSswk20irS6O7TvV3qd9IKHGRs6mpt4MicsxbDRYsWsWjRIsxmc5e2o2mroUiN/hiHDj1BaOhMPD37t7r+3r1707NnT5KTk1m3bh0lJSUcOXKEke0cyl8bH4/byJHUbNlCySefUPHzzwQ8/BCeF1/c7tYUmVyGS6QXLpFeeE2Jwlqgl0TiwRI0veqC4VRvykG/uxBNnB/aPn5SMvDTtEVvtvLPwUJW7ctj7eFCTFaBi/oE2YVhtL87/zx4HtG609fTGKrAALwfnY/6slnoP3yTmi1bCP7lJYK9dSh73II4cyYydfPTdHjqArjl7Y8x3Hor2kXSXp8rn3qB7xc8Rt6RQ6x87QWmPzofZQvqbHfkCrj4HSkQzY6PYdUDYDHAyNPn9mkKc3oGxn37kHt4EPbeu7gNH97sawWDFXNWlT1IjGgWCJg7AJB+JzIXyRVZ6a+VUkVEeODSzRNlgGurFxecODlbacozwTc03O6q3q1PP4ZOu5LqslJSk7ZzLGkbWQf2EtE33l7+8NaNZCXvJ3boCMLj+qJQdow3hxMHQK6AtS8CkBN7LWu6d2dSTg6hx5ZIx8c+XFd27zL4aU7DOtwCJPHnctKCa8QI6V87E+QWVM+FdNnhZbyW+Bo39rmRuQPmolE2P+enEyf/FZwWw06godVQhkymRhRN9jIeHn2Jjr4fnd+4Nt3LZrOxb98+dDod4bXunnq9noMHDxIfH49C0bZ9eqIoUv3vvxQsfAVLVhYA2oEDCXzySbR9+7Sp7tZQ+NFezBmV9tcKHxe0cX5o++hQR3oik0uuUb8fyGfVvjz+OVSA0VJnuY3SuXH5wFDuOb/tK4jZh0pZ81kK7j4uTH9oEMZtWyh89VVMR48BoOrWjYAHH8TjgkktE52nrLDlHT3MDy88hcVoIGbIcC65/zEU7RyltsWIIvzzLGyqjbg7/ikY+5CUH6qFVK5ZgzoiAk2PHmcsazhQjPFwGabMSqyF+vpbeWUQMn8Eco302ViK9MhdVR3mhuxQOMiqrBPH51TPhDMFnDEbDfU8FX565VnSdkl7cl1c3YgaOITYhBFExQ9CrXXcVEROWsn6V2Hti6QGX0JiHlzgfhjf6iMgU8BFC2HY7VK5woPw4SgI6iu5g4YNhfAE8I5o1bjQHszfMp8fj/4ISC6nC0YsYEjQkC5py38WBxmbHEEbOCpOYdhJlJRsqGc1HND/MxQKLTm5Syks/ANRNNO3z7sEBk4FQBRtyGTtE2zl77//ZtOmTfj4+DBu3Dj69evXZhdTwWSi9PMvKP74Y0SDAe2AAUQsW9rp+7BsNRaMh0qlCKdHyxBPEn0KbxeCHklAJpcx7f1N7M2uACDCz5Wp/YKZ2j+YuGDPNrdZsAkkrsog6fcMEMEn2I1L7hmAh68G0Wql/McfKXr3PWzFtQFqBg0i8NFH0A4Y0LwbNPIgzUrex4qX52OzWOg9ehyT73qgS1I51EMUYcPrsPYF6fXo++H8+WecBFT9uxZVaCiank0LQcFkk/YGZlXicV643cJX+v1h9Lvqcj4q/DS4dPO07w1UBbn9N62BDjL4Ojk7qCwulDwTPv20xVFIj+/bw5FtmziWtK1ehFOFSkXkgEFc+uATyJ1RIc8JKvKPI9v1Ba7JS1DWFDQ4b+pzNS5XfSK9EASwGkDdMdtNWsvazLW8sO0FCg3SuHF1z6uZN2ge7uou3LP/X8JBxiZH0QaOiFMYdhJ1VsP9eHj0qxeJ1GwuJb9gJWGh1yKXS26BGRkfUFT8D6EhMwkMnIpC0fq9ZImJiaxbt46aGml/lU6nY/z48fTu3bvNAtFSUEDh62/ge921dqEjGI3IFIp2jyB5Jgw1ZnZvyKRiXxERZRZ8e/oSdHNfAH5IysJ7awHd4nTEjghF4do+basuM7Hms2Ryj5YD0HtUMGOu7oHqlAiqtuoaSj/7lJLPPkc0SvslPadMxv+BB1CfqV828SBN3bmDX954EcFmY8CkyZx/652OESBl6yL48wnp76FzpFXkJvpZ6ZIlFLz4EsqAAKJ++B6lvz+iKGIrMdali8iskiKH1j6pAu4diDpEGsQNKSWYjlfaxaDCowvdah0JBxl8nZxFtLHPiIJA7tHDHEvcyrHErZTn5xEe148Z81+2lzm4eT3BsT3xDnRGiOxIRFHEZrNhtVrr/bNYLA2ONXXcYrFgtZiRG8vRy1yxWq2kH9zNI3yE/CTXDAEZK5lEFiGU4s2CBc924TtvHpXmSt5MepMVR1cAksvpy6NfdloPOwMHGZscRRs4Ik5h2ImUlm7m8D+30fP8/+HrO6rJcqIosm37JPT6dACUSg+CgqYTGjITd/czu9c1hslkYseOHWzevBljrTAJCgpiwoQJ9GiGy15LKHzzLar+/pvAxx/Hfczodq37VIwWGxuPFrNqXy5/Hyyk2mQFQAG8N70fU4Z1A8BaYiD/NSl8NXJwia6NcNrHD6VX6yK4Zuwv5p8vDmKssaByUTDu2p70GHr6CY+loICit9+h4uefQRSRqVT4XH89ujvmoKjNTWg05mK21CWhZt798PZb9pdqlR8aTTAAh7ZsYNW7r4EoMuSSyxl77c2OIQ4TP5X2GwIMvB4ueUfan1KLKAgUvvY6pZ9/Dgo1XtMvI3jB08iUSirXZVH5R0aDKhXeLqgjPPEcH44qyLFWoR0OBxl8nZxFtGOfEUWRkuxMLCYjwbE9AdBXlPPRnBsQRQFdt0hiE0YQmzCcgMhox3hmdQCCIDRfhLVVxJ1yrLVTOwU2IsmmF8foSSoVePIp19jPn88m/CmhF2lYUaDExr+MYAPDUavVhIeHExwcbP/n4+PjsN/v9rztLNiygPyafJZevJRevudQADJHxUHGJkfSBo6GUxh2ApX/ZFK55jiekyLwfOduKu97v+71+d0avcZkLiYvdzk5ucswGrPsx728BhMedgOBgRe3qi1Go5GtW7eydetWzGYzgwcP5pJLLmlVXY0hmM2kXngR1rw8ANzHjyfwsUdRR0S02z1OsOFIEXct2UVVrRgECPHSMLV/MFP7hzAgzMs+INkqTVRvy8OYUoIlX1+vHlWYO54TuqGN82v2vUVBZPkrSRQer0IX7s6Ft/XFO7D5+2mMBw9S8Oqr6LduA0Dh5YXurrvwmjGdzdvHYbGVNXmtSuHL6DGbkMslQbvvnz9Z88l7AIy6+nqGX351s9vRoexZCivvBFGAflfBZR8iypVYCqoofHUx5qwqFL4xKHwi8L0uDte+Up4045Eyir9MRh3qXhskxhOXCA8Unm1LwfKfwkEGXydnBzk5Oax5800mPfAAoaGhHXKPkuws/v38Q7JSDiAKdS7/nv4BxA4ZTp9xEwmIjG73+zZmPWuLOGuJiLPZbGduYCegVCob/FOpVPa/NXIrYcZDhNfsI7hqHypb3RhpVbqx67yvkGm8UCqV+OxbTGT6ErsYHMs2JrDV/vpUNBoNQUFB9cSin59fu0ZMbwsGq4Gk/CTGhI2xH0stTyXa69xdsOhSHGRscgRt4Kg4hWEHc0IUnsCl+jgm9zqRdDpxCCCKAqWlm8nJ/Zbi4n8QRRtBQdPpE/d6m9ql1+vZsmULCQkJeHlJOX6KiorQ6/VEtFHE2SorKV70AaVLloDVKqW3uOkmdHfMaXV6C7NVYPOxYrRqBcOjJQFXUGlk+Mv/EOihYUq/YC4eEEx8mDfyM+wpsxYbMKRIaTDMmZUggt91vdHWChNruRFbhRl1uMdp96eVF+pJ3pDD8GkxKFQtH+REUaRmwwYKXn0Nc2oqAMrQEPKuO44lXITGqhRAlS1n+KR1qE+awO1c9TPrvvofAONvmsOgye0n9ttE8k+w4jYs1iAqtY9gsnZHqGk4WfI4vxtek6R+J9oEEEGmdIyJw1mJgwy+Ts4OVq9ezY4dOxg2bBiTJ0/ukHucsJ5Vl5eTtmsHGbuTyE7Zh602cnj85TMJHTAYq9WKsaYGm2BDlMnbRbA5AnK5vElhdrpjLSnb1PVnFDjf3wgpP9e9dguAXlOg18UQNVbKWwv2wDOnisAT4rBi8N0cCbqMvLw88vLyKCwsbFQcq1SqBmLR39+/zcHx2oPDpYe55rdrGBs2lieHP0mAa8v23Do5Aw4yNnW1NnBknMKwo+//2Mb6B0SxQTCOsIVjaA4mUwG5uT/g5zfWnt6iquogR44+T2joTAL8L7BbkVrDsmXLOHToEDExMYwfP77Nn5cpNZWClxdSs2kTAEp/f0LffAPXhIRmXW+xSWJw1b48/kzOp9JoZUx3HV/fOsxeJiW3kl5BHmcUg01hqzJjOFiCa3wA8tp9gRVrjlP1TyZyd5Xd3VQT403q3mIqivQMviiyVfdqCtFqpXz5Coreew9bSQnG3gKl9zQ9mfF9T0mvF35E26d+FNgtPyxh6/KlAFw4dx59x01s13Y2B1uFqXZvYBXqcA9cB/jD4d+xLnuEfMMHAIiCDaEqB9eBkbgN6446whOFl4tzdbY9cZDB14njUl5ejl6vRxAElixZgsFgQKPRMG7cOKxWK0qlErVa3W5ujsJJVkI7gg1FTRWqqjJMAWGItakuVCX5uBTlYnXzxOrhjdXdG9op8nJHi7CmjjuC6KE0HQ6tgkO/wbRF4BcjHd+7DNa/IgnBXhdL+QQbs+itfRmj2cL7+13x9PRk0LZt7Bo+nMrKSu7up0ejVtXLY2i1WikqKrILxby8PPLz8xsV6wqFgsDAwHpiMSAgAFUnxyr46ehPPLftOayCFQ+VBw8lPMT02OnO8am9cJCxqau1gSPjFIYdzKkWw1M5k8XwTBw6/Aw5OUsAUKl8CQm+kpCQa3B1bZnVTxAEVq9eza5du+wDeM+ePRk/fjxBQa0PFCCKItVr11GwcCHWwkJifl+NKjj4tNdsPlbML3ty+TMln3K9xX7c38OFS/qH8PTFvTv0IV3xVwbVm3MRTXUrnYJcRq7RRr5VYOjd8YT08Gn3+9qqqyl4+WXKV6yg6DEL1jDqWw1toMqSoXtVSdSKFQ2EoSiKrP/6f+xctRKZTM7F9z9Kj2FN72VtK6IgYsmptucNNGdWYSuvS8Gi7euH33VSYmHx2Fqqv16C0pxC8X6BgFc+wqVPfIe17T+Pgwy+ThwHo9FIcXGx/d+m2gW7ruCE9awpwVW9dzum3LotFMhkuAWF4h0Vi29MT9x8fFsl7BQKxX9rgi+KkL8PDv4mCcLC5Lpzk56DUfdJfws2kMmbnUbCarVKn+W0aYgrV2Kz2VA2U7jbbDZKSkrqicW8vLxGc07L5XL8/f3ricWgoCDUHZy790jZEeZvns+BkgMADA8ezvwR8wnzcAqINuMgY1NXawNHxikMO4Gi/+3HdKy8wXGFjwsBd8a3KZKi0ZhLbu735OZ+j8lcFz7a12cUIaEz8ddNQi5v/kpraWkp69evZ9++ffbN63369GHcuHH4+/u3up2C2YzxwAFcBw2yHyv77ns8zp+A3NevnsXvuv9tZ9MxKbWDzl3NRX2DuLh/CAmRvig6KfWAaBUwpVVQnpRPzf5iXGp/JYJCRsj84SjV0mcqWmzIVO23Ely1P5GDn19L1SQbNGL89X1PieagnMgVyxsIQ5DE4V8fv8eBtX8hVyi57JGniYof3C5ts1WZsVVbUAdL7sCixUbOgq1gO+kRIgNVkBvqCE803X3Q9vHDePgwLj16IMvcBkuuAnOVtCJ97XLQerdL25ycgoMMvk46F1EUqaysrCcAi4uLKSoqorq6ukV1+fv74+Pj0yHWtTPtLxNFkaLj6RzdsZXUxK0UZWbYzylVau78bCkqtXPP8WkpSIFvZ0DFyQJbAZGjJatg74vBM6Rt92in54wgCJSVlTUQiwaDoUFZmUyGn59fPbEYHByMRtO+yeqtgpUlB5fw3u73MNlMaJVaHhryEDN6zmjX+/zncJCxyRG0gaPSxVmxz30q/8lsVBQC2MpM5L28HbchQbiPCUXl3/JkwBpNCNHR84iMvJuSkrXk5HxLSelGSss2U11zBH9dy9wJfX19mT59OqNHj2b9+vUcOHCA5ORkwsLC2iQM5Wp1PVFYtSOR/PnzyXxpIcv7XMhd7z1BkJ8HAFcNCaObnysX9wtmaJQvSkXn7zWTKeVklBpZv70Qq8lGkIeKof398ApwrROFokj+W7tQuKvQ9vFDE+fXqu8QwGYzkp3zNRnFi7BeXGupNAEq6qyGAsj0p1/HkclkTLr9LsxGA0e2buSXN17iiieeJax33xa1R7SJWPJrJEvg8UpMmVXYSo2oQtwIvFf6HmUqBZpYb5DJ7HkD1WEeyF3qhHLp199Q8NJLBDz6CH433QQ3roSvL4fsRPjyErj+Z3BrftAfJ06cSBabsrIyioqKGojAxiwvJ3B3d8ff3x+dTodOp0Mmk7F69eoG5W6//XZCQtooGtqATCYjIDKagMhoRs24lvKC/No0GNvQuHvUE4UrX38Br8BguieMILhHz/9mzkSzHtLWSoG+etfuL/eNAn0JqFwh9nxJDHa/AFx9u7atjSCXy/Hz88PPz4++faWxShRFKioqGojF6upqe1/fv3+/vQ4fH58GYtGtlTENAJRyJTf2uZHx4eOZv2U+SQVJmGymM1/oxMlZjtNi2NH3P2WPoYiIjEasXjLQ9PbD47wwXCI823RPgyGL3NzvUKq8ieh2m3Rf0UbKwUcI8L8QP78JzbYi5ufns23bNqZOnWr39c/JycHd3d0etKa52ASRxIxSVu3LI2V9Ijds/ZYe5dlSm4PC6PHc07iPHduiOjuK9d8e5sCGHABCe/ow6ZY43E5Ja2Ep0lPwxs56x5QBrmj7+KGN80MV5n5GtyVBMJOb+z3pGYswm6WEu8p88PhNgcwIpXfX37gv04PfO0qiH1mEx6SmRb/NauGXN14ibVciaq2Wq55+iaCY7s1676XfHcaQXIxoPmVPUK01MOCegWdMGi8KAoWvvkbpF18A4D3zGoKeeUb6PPIPwFfTQF8M/r3hhp/Bw5nXrF1xkFVZJ23jZPfPk0VgaWlpk+kIZDIZvr6+6HS6eiJQp9M1sKrk5ubyySefNKijq4Xh6RAEm138VRTm8797brOfc/XyJmbwUGKHjqBbnwEoO9jlsEvRl8KRP6X9gsf+kZLJB8TBnVvrymTvhMA4ULU+D/Jp6YLnTFVVVQOxWFFR0WhZT0/PBmLRw8Ojxe7Egiiw5vgaJnabiKK272VXZRPoFohK3rl7IM96HGRs6mpt4Mg4hWEHc+oew11uBxlU09v+2nVIIEKNBePBurx16ghPPMaGountd8YJeHMpLl7L3n3SAOriEkRI8FWEhMxAo2nZ4C8IAh9++CGlpaUMGTKE0aNH4+HhccbrdmeWcfvXOymqqltx89YouMt0mJH/foe8QkrP4H7eeQQ+/hjqyMgWtau9Obgll7VfH2LoJVEMuiiyyeA2tgoThoNShFNTagUIdT8nj/PC8Joc1eh1gmAlv+Bn0tPfw2iUxLFGE0qo+gr0N3yITJAhIlL8iBVLpIgyE2RmsMSCrAZ0izQEXTgb3Zzbkbs2bqW0mE389PICslL2o/Hw5JoFC/EL64YoiFgL9dLewOOVWAr1BNwZb+9rJUsPYdhbhMxFgbqbBy4RnlLaiG4eyDVnXlAQjEZyH3mUqr/+AsD/wQfwu+22+oNx0RH46lKoygPfGLjxF/ByPpzbDQcZfJ2cmcbcP0+IwNO5f6rV6nqi74QIPOH+2RwqKipYvHhxg0Ais2fPbvHCX1dgMRlJ37OTYzu2krYrEZO+xn5OpdEy+pobHCdCc3uxewnsWwYZm0E8aeHQqxv0mgoXPA+KThIrDvKc0ev1DcRiaWlpo2Xd3NwaiEVvb+8WiUWD1cCVv1yJRqnhuVHP0cev4bYOJ03gIH2mq7WBI+MUhp1A5T+ZVKw5zlf+v7BM9wcziyZzffHFeE6MwGuiFCTGUqinakM2+t2F9j1bSp0W9zGhuA0KRNaKdAgnYzDkkJPzDbl5y7HYk6fL0enGExoyEz+/schkZ3bBqa6u5ocffuD4cUnsKpVKhg0bxqhRo3CtFSiCILI7qwyTVWBkjJQCokJvYciLa9CqFFzYJ4ip/YMZFatDpZBjq6qi+IMPKf36a7BaUYWGEvPXn8g6MYqbKIroK812q6AoipQX6PFpQSJ1wWDFeLgUQ3IJxsOl+F0fh6a7FKTGlFlJzdY8NHE+VPokkp79Nnp9GgBqtT+RkXcRGjID08FjZFxxpb1OU0+BihlWvL5XosqQUXKPFUu0iKwadO8o0dpCCHzsUTwuvLDRgc1s0PPDC09hzqwkwq8vvXuMQSgw1QusAxD4wGBUAdL3ZymQJldKf9cWL0xYy8rIvvMuDLt3I1OpCH75Zbwuntp44dI0+HIaVGRKk5obV4Jv++cx+0/iIIOvkzqsViulpaUNXD/P5P7p4eFRTwCeEIGtsXw01a7WBhJxJGxWK9kpBziaKO1LrC4r5ZL7H6PH8NEAlOXlcHz/XmKHDMPd9yxxXxdFKDoE/r3qAsP8NBf2fiv9Hdi3NpLoVAjq1+zgMe2GAz9njEYj+fn59cRicXFxo5Z2jUbTQCz6+vo2uRc2pSSFOWvmUG4qRyFTcGOfG5k7YC4aZfvuczwncZA+4wjawFFxCsNOQBRFZq6aSXJJcr3jrkpXor2iifaOlv73iiZGGYHHXtBvL0A0SiGd5e4q3EeG4D48GLlr21YCBcFEYdFf5OQspbx8u/14wpCf7CkwmvN+0tPT+ffff8nOlqxdarWayLh4jhHC7wdLyKswEh/uzc931UXF3JtVTu9gT9RN5KczpaVT8PLLeF16CV6XSKu8JxIhyzowGa5Jb2Ht14coyKjk6ieHonFv+2qraBFALkOmkAbqsl9TqdmcC4AgN6P3S0YfdAi/wYMJ6z4LhUJy9bHk5pJ60WTEJiaKgkak5F4blkgBuV6O31tyVDlyXEcMJ+ipp1BHRWMtNmA+Xom2rw65Vomhuoqk55YQJa9b1ZSp5ajDPeoSyEd72dN1tBbBbCb9sumY09KQe3oS9v57uA0devqLKrLhy0uhNBU8guGGleDfs03tcILDDL7/RU64f566/6857p+nun425v7ZYZxDfUYUBArSjuEX1g1V7ee3dflStvwgRfAOju1JTMJwug8dgW+Ig00KBZu0B/vgr1Ik0bJ0uH09hMRL549vgdzd0HOKtI+wKznL+ozZbKagoKCeWCwsLGw0lYparW6Qa1Gn09nTjpQaS1m4fSG/Z/wOQIRnBAtGLGBI0JBOfU+OjtGYi9lykvV23v3w9lv2l2qVHxrN6SPVdwSOoA0clXNWGC5atIhFixZhNptJTU3t0i9/c85m7vj7jmaXV8vV9HTvztSK80jI7IGrXtonIVPLpUA1o0NR+rZ9slBTk0Zu7jKqqg8yMP4r++pzTs5SNJowfH1HIZM1LchEUeSvrXvYumk96MsBWGPuTo7gjYeLkklxgbxyZX9ULQgec6I7nmhL+U8/U7ZsKUFPPom2f/OEa0vIT6/gr/8lU1ViRK6QcdHtfYka0PogO41RWraVzMRvkKd64144CLXhpIS5MlBHeuJ3bW8U7tL3bMnNpXJ9Loa9BrQDtLh+/gT6m1+qez3akwP5j1JZtQ+l0ZuATyNRW6NQ+MWgDOwForTa73dTH7S9pEAD5XuzOPz1P+SVH8PiZWPK04/i5u3dru8TpGAzpZ9/TvjiT3CJiWneRVUF8PVlUJgCrjppz2FQv3Zv23+Ks2zCdrZxqvvnySKwue6fJ4vAlrh/dhjneJ9J2biWPX/+Rt7Rw/WO+4aEEZswnKGXXYWLa+uDlbQJqwnS1kv7BQ+vhpqiunMKF7j0XRhwTde07XScA33GarVSWFhYTywWFBQ0mmtRqVQ2yLWYYk7h5R0vU2iQYgRc3fNqHk14FFVnufM6MIJgYvPmsZgtxU2WUat1jBq5oU05uFuDUxg2zTkrDE/Q1V/+CWvhwdKDCGLdqpRcJifaK5q5A+aSXpFOWkUaaRVppFek14t8pRDljK0czBUlE4kxhQMgyARywsqpGaIiODaCKM8oXFWti4Z5KlZrNZs2j8Rmq0Gr6UZIyNUEh1yJi1pnfz8nuy/d8fVO/kjOo5u8jChVJT69RjB1QChjuusoLsgjMDCw1QlqRUEgbfIUzLVuq17TpxPwwP0o2xAdta5ukT1/Z7Ht51QEQcRTp+GC2/oSGNm2wD8nU1Gxh9S0Nygr2wKAXK4hLPR6QjU3Yj1iwZBSgiWnGoWnmqDHhtbt8Vt2CMOeuomBS/VxTO51eSk9J0WgHevNwVXP4bPtEmTUF96izYzSR473FQPQ9qyLQFdZVMjS+Y9QXVJMQGQMM+a/1C4TIcFsRn5SkAdbdQ0K9xbWqy+VxGHeXtB4wXU/QVj7pNn4T3IOTNgcgcbcP4uKiigpKWmR++cJEdhe7p8dwn+kz1SXlZKatJ1jiVvJPLAPwWbFxdWNuYu/QaGUxqqy/Fw8dQEoOlKsi2Kd62faemnP9QlcvKDHhZKLaOxEcHHvuHa0hXO0z9hsNoqLi+uJxfz8/CZzLXoFeLHHaw9J5iQS/BL4cNKHuLg406mIokhi0nSqqg4AjUkNGR4efUkY8lOnPxe7Whs4Mk5h2MGcyVr40cSPGBVa525pE2zk1uSSXpFOanmqJBjLpX/dy8O4snRSveA1e1wPsdzvb/ICyon2Ockl1TuGKK8ovFxaFkDAbC4hPeN98vN/wmqtAkAmU6F2H8fekvEs26fjy5uHEe0vDVR/Jufz2748Lu4fzHk9/NHU5vQzGAy88847KJVKxo4dy6BBg1q1Im4pLKTozbeo+PlnAORubujunIvv9dcja2XEOUOVmb+/OEhmcgkAsYMDGHddL1y07TMJqKo+RFramxQX/wNIn19oyDVERt6Ji0tAvbLWMiPWUiOaGG9AEqw5T5ySePrkCUQtYQvHYMjJp+S9o1g0xZh8s/D2iqLmpxWYDyeBaEM7ZDBBTz+Npmeda2ZpbjbL5j+KobKCkJ5xXPnEc3ZXq9ZQ+uWXlC9fQcSSb1B4tlFUG8qlPIfZO0DtAdd+DxEj21bnf5VzdMLWURgMhkb3/p3O/VMul9ujf3aZ+2d78h/sMyZ9Dem7k9BXVtqD1IiiyKf3zcZYVUX0oARiE4YTGT8YtaYdIntW5sHhVZKLaGBfKVAMgM0CH58HESMkMRgxGpRnQUTV/1CfEQSB0tLSBkFujEajvUyhphB3iztughs6nQ7vIG8CAgPoHtadoKCgs/O50EaOZ67m2LF7mjwfG/seEd2mdGKLJLpaGzgyTmHYgZywFqaUpCA2sloiQ0acXxxLpy4942qJKIoUGYpILU+lID0Ln91yIrP9UdRai9Jdcljut4b1nknYZHWWSZ1WZxeL0d7RxHjFEO0djZ/G77T3tFr17D6ygtzcZbjLD9mPf394Gv16zuXuCadPfZCTk8P3339vDyPt5eXFeeedx4ABA+w++i3BsHcv+S+8iLE2b5E6IoLgF57HNSGhxXWtW3KI5I25KFRyRl/VnT5jQtpltUqvTyct7W0KCn+rPSInOPhyoiLvQattXt+z1Vgo+mgv1qKGiX1P4DkpAs/zpeiiprIi9qbeQnX1QdRqfwb2+QLjd+sp/ugjRKMR5HJ8Zs3C/9577MKtMCON7597HFNNDRH9B3LZI8+gbKFVV7TZKHjlFcq++hqAwCefxPf661pUR6OYqmHpNZCxEZRamPktxExoe73/Nf5DE7bmcrL756n7/5rj/nnq/j9fX99WPcscFmefAaCmvIyvHrkHfUW5/ZhCpSKiXzyxCSOIGTwUVy/v5ldYfFRyET34G+Qk1R33Cod5+zs/YEx78h/vM6IoUl5eXs+qmJubS02NFMAtSZdEvms+8SXxhNaE4ufr1yDIjWsTUcXPFRYsmE98/O+4e5Qik9XNg0VRRnWVL3v2TGbBgmc7vV1OYdg0TmHYgZhtZi5YfgElxpImy/hp/Pjryr9QK1q+OmgtM1K9KYfqHflgkcRgjdbEltAD/OixhgxjZpPXeqo9Gwa+8Y4hyC2ItCI9t3+VRFqx9HALc8/h/IgtDA/eheD3JeP79MNVraSych82mxFv74RGhZXVamXXrl1s2LDBPvHy9fVl3Lhx9O3bt8mIX00hCgIVP6+k8M03sRUXE/Htt7gOGtiiOkAKNvPXpymMvDwGv9C2u+gYDDmkZ7xHfv6PiLXhwwMCphIdNQ83t9ZF2Sz8ZB/mtIa5mVxivPCfXX+vpdlcyu7d11Fdcxi1OoDBg75FVe5CwSuvUvXnnwAofH0JePBBvKZfhkwuJ/fIQZa/8DQWk5HYhBFccv9jyJs5yRUMBnIfeYSqNX9L7/WhB/G99db2cwWxGOC76+HYGlCoYcZX0HNy+9T9X+E/PGE71f3zZBFosViavO5k98+TRaBDu3+2J//hPnMqoiCQe/QwxxK3cixxK+X5efZz/SdexKTZdzevoq8ukxLPn0xYgmQV7HUx6JqXW9ZhcfaZRqmqqiItO42Hdz9MnkXqOyE1IcSXxKO11bc8e3l5NZpr8Vxhz57t7Nz5KpFRexqcSz4wkXHj7qJ/B8SPOBNOYdg0TmHYweTX5FNqPCki0/33w1t1EZl8Nb4EubUtubegt1C9PZ/qLTkIVdLER+aiQJ2go7CvkWPW9DqX1Io0squz6+13tJkCEK0eKN1S0Sq1RLjHsnvH1YCC/hEKpvYL5sr4Xni4yOptEN6z9xZKStbj6hpLaOg1BAddjkrV0HXVYrGQmJjIpk2b0Ov1yGQy7r77bvz8Whcy3FZdTfW69fXSIFRv2ow2fgAK94ZCr6bcxKFteQy6MKJdJ3gmUxEZxxeRk/MdoijtPdD5TSA6+n48POJaXe+puS9P5YTF8GTM5hJ27b6OmpojuLgEMWjgElxdI6nZsoX8F17EnCalxtAOGEDg00+j7duH4/v38NPCBdisVuLGTuCiufPOGP3VWlpK1ty5GPfuQ6ZSEfLKQjyndIAbiNUEK26VIvPJlXD5Yuh7efvf51zlPzBha8z9s6ioiLKysha5f/r7++Pn5/efdPOqx3+gz7QGURQpyc7kWOI2jiVuY/TV1xEZL+1/zjmUwt+ffkDs4KHEhqgIqNmL7IIXQFG7LWH1w5D0OUSNrRWDU8GjbeO9Q+HsM6fFYrOweP9iFu9fjFWw4qpw5XLfy4mqjiI/P7/JXIvu7u4NxKKXl9dZt0BlMhezedMMBPE4BoMHWm01MplotxYmJPxEaGhol7Stq7WBI+MUhp1NBz5IRauAfnchVRuy61wRFTJc4wPwGBuKKlAKCGKymdiQdoSVe7LYetRESaUaF2052qjXsYlSJC6rPgKFSx4yhSR4VHIVEZ4RdS6pnlF4V63GULYOQZDuJZe7EBAwhdDQmXh5DmrwEDOZTGzfvh29Xs9FF11kP56fn09gYGCrH3rm7BzSpk5F7uFBwP33261iAMeTS/jnixQMVRbGXduTPmPa/hCyWMo5fvwTsrK/RBCk/QU+PiOIiX4AL69Bba4/+7GN9Q80scfwVMzm4lpxeBQXlyAGD1qKVtsN0Wym9OtvKF60CEGvB5kM7xkz8J93HxnHDvPLmy8hCgLxF05lws13NPk9mDMzybxtNpbMTOReXoQveh/XIR0YmttmhZ/nwv7vQSaHaYsgflbH3e9c4hyZsJ1w/zzV9bM57p+NpX4459w/25NzpM90GqZq1n/4Iklb99sPeaqMxA4dTez5lxPaqw9yfTGoNFJArXMRZ59pFkfKjjB/83wOlBwAYFjwMF4c9SJeCq9m51rUarUNxKKPj0+LPa86C70+nW3bZyGKhZjNLmQe70ds9zpX6v37z2fGVQsICQnpkvY5nDZwIJzCsLPphAepKIgYD5VStSEbc0al/XhBtAfrfRX8mVXK4YK6SZVaIWdsDx1vzOhHqTmvnnXxRKRUg7XxPW9auYzzfdxJcNXjRZX9uJ//FOL7vXfGthYWFvLBBx8QFhbGhAkTiI5uueulYf9+ch9+BHNGBgCafv0IeOxx9mZ4sHuN5E7rF+bOhbf1aVHC+lOxWqvJzPqczMz/YbNJn5+nZzwx0Q/g6zvqDFc3n1Mthi7VGZjcI+2vG7MYnsBkLmbXrlno9aloXEIYNGipfX+jpaCQwtdeo/I3aQ+kwssL//vnkRfsz+8fvg2iyNDLrmLMzBsbrdtSUEjGzGuQyRWEf/IxLq34rlqMYIPf5sGur6TXU9+AhNs6/r5nO2fZhK2t7p+nisD/jPtne3KW9ZkuI2cXrFsIaeswmG2kVflyrNqPjBpfrELdJF3j4cm1L76Jd+A5ZCE8FWefaTY2wcY3B7/h/d3v46ZyY+VlKxsNDtiSXIsuLi6N5lrsarFYUbmXXbtuRhAqMBjcUcgfJDm5gN5xP6PR5GM0BnEw5TJmz74dL6+uWTRxOG3gQDiFYWfTyQ9SU2Yl1euzMaSU8JJoYDXSJEsplzG2u46p/UOYGBeIl7bp4COCKJBfk18XJbVWOKZWpFJlPiEGRSLUAiPdrQzU2vixXE0GYUR7RRPrGUaMmxvddGOJ9Y7FW+Ntr3vfvn388ssv9pxBkZGRTJgwgW7dGhc+TWG3in3wATU2F5J730yllyRc+p4XyqgrY1GqWmcpsNmMZOd8zfHjH2OxlAHg7t6L6OgH0PlN6JAJ6Alx6DkpAs937qbyvvfrXjchCk9gMhWya/cs9Pp0NJpQBg1cilZbZynVJyaS//wLmI4cAUATF0fxxRey4U+pX46eeSPDLruq8brT0lB4eqLU6drpnTYDUYQ/HoPtH0mvL3gBRjYd5cwJDjthaw/3zxMi0On+2c44aJ/pckrTQRTArzYva85OWFwbEMsnCnpfDL0uweLfj+PJ+zmWuJXUnTtQKBTM+fBLu/fK3jWrUapdiB48FK37ObKHzNlnWkxmZSYF+gISgqTAeaIokluTS6h7095MjeVazM/Px2azNSirUqka5Fr09/fvtDypxSXr2L//bgTBgM0WhmC7iwsvvAqbzUZFxTaO/DubHhMW4+U1vEtztzqcNnAgnMKws+mEB+nxkhpW7c9j1b48Fl7en35hXliKDaz59TBfHylgvKhkNCp8fLV4jAnFdXAgcnXLRZMoipQYS+qn1ahII7fyGAWGEiyiJJhGuVu4ysdCllnGlmoV6YKOMM9Yu1tqqCqUkpQSUvam2B90sbGxTJgwocVuBqmbUvlnyTEsogqlVU9c9kpG/fQucm3LQ40Lgpnc3B9Iz3gfs1lKXuvqGkV01DwCAqYgk3XSqlwr+ozJVMDOXbMwGDLQaMIZPOhbNJq6z1K0Win7dilF776LUOuSlzt+NHtKpY3y598ylwEXTKH0yy9R+vnhdckl7fd+WoMowj/PwaY3pdfjn4SxD5/dEf06ki6csImiSEVFRaPpH1rq/unv74+Pj4/T/bMzcE7yJUQR8vdJKSUO/gaFyRB/HVy2SDovCLBtkZRf0L9Xo88gwWajojAfn+DQ2ktsfHzHjegrypHJ5YTH9SVmyAhiE4bhqQtocP1Zg7PPtJlVaat4evPT3N7/dm7teysqRfMihDeWazEvL69RDwuFQkFAQEA9sdiWHNNNUVl1gKSkyxFFG76+Y+gT9y4q1SneGw7SZxxOGzgQXSfXnbQrWaV6uxjcn1MXzfK3/bn0C/NCpdMy5eZ4Lqw2U701j5qtudhKjZSvTKVyzXHcRoTgPiIYhXvzo6PKZDJ0Wh06rY5hwcPqnaswVdhzMRoKv8Nm2k24WuBqXzNGIZed+kI2p+/ge0uduNJ10xFfHY9nsSfHjh3jeNZxZs2ZRYRPBPJmijBNgC9WVPgHKul75Gf8pwxosSgURRv5+T+Tlv4uRmO2VK8mlKjIewkKugy53PF/Ni4ugQwatIRdu2ZiMGSya9e1DBr0LRpNMAAypRLfG67Hc8pkCt98i4offyRk7SZqugVx1MeNfz79APXKX5H9ux5UKjR9++ISFdV1b0gmg4nzQe0K/74Aa18Ecw1MXOAUh13ECffPxvb/Od0/nZxViCJkbJLSShxaBRVZdedkCrDU1L2Wy8/osSBXKOyiEMBmsdB/4mRSE7dSlJlB5oF9ZB7Yx9ovPiYwOpb+519E/4kXnaZGJ+cqW3O3YhEsLNqziDXH1/DcyOfoo+tzxusUCgWBgYEEBgYSHx8PnD7X4om/TyCTyfD3968nFoOCgnBxcWnijmemuMgVi3kIoWFBxPVeiFx+FuTidNIAp8Wws2nn1ZK8CgN3fL2Tvdl1YlAhlzEyxo+p/YK5sE8QPm4Nf5yC2YZ+ZwFVG3OwldYmaFXKcRsSiMfoUJS6dkjmexIWSxl5eT+SlfMtRkOG/XgpPnxTEcTxqmxstake3Cxu9C7vTYW6gqNeR9EoNER6RhLjEkNUUBQx3jFEe0UT7hmOSq7CarHVcxPNOlhKSA9v5DLAakWmlt6/ftduij/8kMDHH2t0f5woChQW/UFa2tvo9akAqNX+REbeSWjI1fUisnYqbegzRmMuu3Zdi8GYiVYbIYlDl4Z7Xgx79pD/3PMYUlI4GOSLr95IUKUegICHH8b3lpsdZ9K+dRH8+YT099A5cNFCabLmpI52fM6c7P55sghsjfunTqdr08TDSQfiICv5nYbNWhc9FOD9BCiW3OtRuULs+VJKie4XgKtvu922PD+PY0lShNOcwykgigy55HLOu+4WAKwWCwWpRwnu0RO53MEt5f+1PtMBiKLI7+m/s3DHQspMZchlcm7scyN3DrgTjbLtrvKn5lrMy8sjNzcXvV7faHk/v4a5FrWnWVwXRRuCYCUvr4ivvvoKs9nIxImTGD26YYA8wGH6jMNpAwfC8U0fTuqRU24gs0TPiBgp1YO/uwvZZQbkMhgR48fUfiFc2CcQP/fTT77kagXuI0JwGxqMIbmYqg3ZWLKrqdmWR832PLR9/HAfG4ZLN892abdK5UO3brcSHn4L5eXbyclZSmHRn/TwG8zKCR9jtpk5XnmctOJE0moqSKtIo7KiEnWFGqPNSEV2BS6FLmx138pn3p+hV+lRypQMq55E7yPjkE/LIjoijBjvGCK7R6JQ1AoFdZ0oLnztNQy7d5O2dSu+116L7u67UHh4SC6xJetIS3uLqupkAJRKbyIjbics7AYUivYVyZ2JRhPCoEFL2LlrJgbDcXbvvo5BA7/FxaW++5I2Pp7IH76n5PMvkL31Fths2GQy9ncLYGhsFH6OIgoBRtwFKi389gDs+BgserjkHXD0SVQnkZOTw5ru3ZmUk9PsUOCCINiTv58qAk8ka24MFxeXBpE/ne6fThwWfSkc+VOyDGZtlxLMq2qf7/HXSsKw18UQPU7yTugAvIOCGXLxdIZcPB19RTmpO3cQHNvDfj4reR8/vjwfVy9vYoYMIzZhON36DECpdlpfzkVkMhlToqcwPGQ4C3cs5Pf03/n8wOf8m/kvL4x6gfiA+DbX7+Pjg4+PD3FxUhotURSpqqpqYFmsrKykpKSEkpISDhw4YK/D29u7gVh0d3fHZjORkvIgBkMV//7bE7PZTFRUDMOGDW9Tm510LU6LYWfTitWSvAoDq/fns2pfLrsyywny1LDlsQnI5dJkfXtaCTEB7ujOIAZPhyiKmNIqqN6QjfFwmf24OtITj/PC0PT0RSZvX3FgNhdjtVbj6hoJgMGQyZatE/DyGkhoyEwCAqaATEVOdQ5//fUX2Qckt05RJpLtnoN7eRQ9ikYAcCBwI5uilwMgQ0aoe6iUVsMrhiivKKK9owkvV1LzxvtUr1sHSEnf3eZMIy9uBxVVu6VjCje6hd9Kt263oFQ6SICAdlhhMxiy2bVrJkZTLq6u0bXi0L9eGVNaOllz5mDJykKmVnPIx43UIF8UgsAFw8bT+9777NZXh2DvMimdhShA3yth+kfQzP0Z5zKrV69mx44dDBs2jMmTJ9c71xb3z8bSPzjdP88hHGQlv90pz4LDqyUxmLEZxJMCdly7HLpP6rq2NcL+tX+x/qtPMenrFmRUGi1RA4cQmzCcmMFDUWscZLHyXO0zXci6rHU8v/V5Cg2FfHbhZ/YgNZ1BdXV1g/QZZWVljZb19lbTs9c/qNUZCIKcvXsvxMd7INddd12TXiE5OTmsefNNJj3wQJflLzyBw2kDB8IpDDsJmyCyI72UwvkvEPDsUwyN8kVxGqFVUGlkde2ewaTjdT9MmQwSIn354NpBbRKCp8NSUEPVhhz0ewrBJnUPZYAWjzFhuA4MQKbsGLe9vPyfOXjwEcTagVup9CI4aDqhoTNxc4slOzubf//9l7TaZO2IMrT6ELx7epPfO4W0SilSaoWposl7BGgDmJDrw4U/Z+CWLw285m4CVTPlBI65gYhuc1Cr289tqF1op8HXYMhi566ZmEx5uLrGMmjQElzUddFFiz/8kKJ33kUVHk74xx9jqazk55efoQAbSpuN0UY5vZ54EreRI9vclnYj+SdYcRsIVmml/8rPQPnfc1UsLy+3uwYtWbKEmpoaNBoNw4YNo6ysjKqqKioqKprt/nmqCHS6f/4HOBcn+bu+gl9O2Q8Y2Lcu2XxQf4fco2yzWshKOcCxxG2kJm6luqwuEfqNry9CFx4BSEFtutTd9FzsMw5AlbmK9dnruTj6Yvux/Jp8gtw6P/WJwWBoIBYrKzPp2+8f3NzKsVpVpCSPo6IiCK1WS0hISINciycWD0+3aNnZOIo2cETOWWG4aNEiFi1ahNlsJjU1tUu//D8O5PHsrynkVRjtx4K9NMy/JI6L+gY3es2zvybz+eYM++uESB+m9gtmcr9gAj07J0S7rcJE1eZcarbnIZoksSb3UOM+KgT3YcHIte3viWwyFZKb9wO5ud9hNObYj3t7D6V3r4WkJSn596dEqrRpWNRSjsawsDBuu03KbSeKIqXG0ga5GNPK0yg0FBKsEpjiZaGfyobbejkeqxTIjTKWTnfl+Ni+RHtHE+0lWRqjvaMJdA3seotIOw6+ev1xdu2ehcmUj5tbdwYN/AZ1rTgURZGSjz7Ce8YMlH6Sq7LZYOD7h+6moLgAtdXG8GM5BI+bQOCjj6DqosS0DTj8B3x/A9hMUqTAGV93mBuYo7JgwYJmlz3V/fOECHS6f/7HOZsn+YINshMlq2DkGOhxoXS86AgsGgrdRtSJQd8uDKLVCkRBID/tKMcSt1GUkcb0xxbYx6RV775GRUE+MQnD6T50BL4hnTzHOZv7zFlEdlU2l/9yOed3O59HEh7BR+PTZW2prjnKnt03YTLnYza7cmD/eIxG/0ZTZ4AUbdrPzw+dTseRI0cwmUy4ublx7bXXAuDq6oq3t3cnvgMJpzBsmnNWGJ6gq7/8Pw7kMfebXZz6IZ+QGguv6I/ZJrBqXy73nd/Dvndw5/FSXlp9qFYMBhHs1XWuI4LRSs2OfKo35WCrNAMgUytwGxqE++gQlN7tL1RF0UZJyQZycpdRXPwvCoUrQZqf+efzdADC+7gRO86bzds2MGbMGHr16gWAxWLBZrM1yG+m16dzOPV1Sov+BEREZGSKIWzMkROxqYgfR8oQawfb8CKRfB+wKGW4qdyI8oyyC8Zor2hivGMIdQ9F0Vkrte08+Or1GezaNQuTqQCfvaHE3fYdGs/GFygATHo93y94lMLj6WgsVoYfzcFNqUI3Zw6+t9yM3BHcS1PXwrJZ0n7DyDEwcym4OIgrcAciiiJZWVmsWbOGrKysJssNGDCAAQMG4O/vj7u7e9cvdjhxPM62Sb7VBGnrJTF4eDXUFEnH46bBjK/qytWUgJtf17SxAxFsNj64bVY9l1PfkDBiE4YTO3QEQdHd7TkUO4yzrc+cpfx49Eee3fosgijgq/Hl8WGPc2HEhZ3+HC+v2MnevbOxWitwdY3G22s+a9fu47rrrkOr1TbItVhQUNCkYDyZlixsthddrQ0cGacw7EBsgsjoV/6tZyk8HdcO68aL0/t1cKtaj2gV0O8tompDNtaC2ohWchmu/XW4jw1DHeLeIfc1GvOorj6Ej895/PL2HiL6+WH2ugO1WkdoyDXodBNRKCRXt02bNrF582ZGjRrF0KFDEYRi0tPfIy9/hd1FNSBgCtFR83BzkxIWG6wGMioySKtI43jBYYbO+wqjQuCLCbA9VmjU1UgtVxPpFWnPxXjCyhjhGdHsPETNpgMG35qqYxx+9Aq0/5qxJLjR639/onZpevKkr6zg+2cfpyQ7EzfkDEtOQ2O1oYroRtATT+B+3nnt2r5WcXwrLLkKzFUQliDtH9J6d3WrOgSTycS+fftITEyksLDwtGVvv/32FucDdfIf5GyZ5Nus8ONsOPoXmE/Ki+niJVkK+0yHXlO6rn2dSHVZKam1EU4zD+xDsFnt5yLjB3PF4892bAPOlj5zDrCvaB/zt8znWPkxAMaHj+ep4U8R4Np5eTArKveya9e1uLv3In7AYlQqHwRBQN7EAoTNZmPz5s2sXbu20S0Mcrmcyy67jP79+3d00xvgFIZN4xSGHcjW1BJmLt52xnIxOjeuHhrOlH7BhPk4vgucKIqYjpRRtSEbU2rdfj6X7t54jA3DJda7XVayRFHk8PZ8ug8JRFG7r1EURGr0R9m+YwrU2mHVah3BwVcREjyDZcv+JjMzU2qPBsJCdxEUfBC5XMDPbzwx0ffj4dF0jiBDcjLZd8zFWiStPsuGDiTvtos44mUgtSKV9Ip00ivSMdlMjV6vkCkI9wivJxijvaOJ8ozCVdXy73Zr7lYWrriLx65YxIiQES2+vjEEvZ6chx6m+t9/Aai4wors0p4MGvQNKpV3k9dVl5awbMGjVBTk4+3lw9DDx1EWSJ+T+/jxBD7xOOrw8HZpY6vJ2QlfXw7Gcmn/0PU/n1PWgvz8fBITE9m/fz9ms2S9VyqV9OvXj8jISH766acG1ziFoZNm4aiT/Mo8yNsDPU/ak7R4gvRb9wiucxGNGA1KB/Be6CJM+hrSdidxLHEb6buTSLj0ckZcMRMAs0HPP59+SMyQYUTGD26/4DWO2mfOUSw2C4v3L2bx/sVYBSseKg8eGfoIl8Ve1in3N5vN/LbqPUaPupqAgObPp3Nzc/nkk08aHO/KsckpDJvGKQw7kJV7crhv2Z4zlnvnmnimxXdthKbWYs6uompDNob9xSd0GqpgNzzOC0PbT4dM0TpXFmO1hX++TCFjfwkDJoYz+sru9c4bDDnk5n1Hbu4PmM0nLCYyvL2HUVLiz66dSoxGyYKp0VgYOXIQI0dOQ6k8875IoaaG4o8/ofTzzxEtFlAo8Ll2Fv53343C0xObYCO3Jpf0inRSy1Pr7WestlQ3WW+IW0iddbE2F2OUVxReLl6NlhdFkZmrZpJckkwfvz4snbq0zYLbWlxM1tw7Me7fj0ytxu/5BzjouwiLpQQPjz4MjP8alarx9gBUFOaz7JlHqC4rJSAimnE+wVQv+daeL9Lvttvwu302ck3n7INtlPwD8PVlkmuZfy+4YSV4dP6m/fbCYrGQnJxMUlIS2dnZ9uM6nY4hQ4YwYMAAtFotFRUVLF68GE9PTwZt28au4cOprKxk9uzZeHk1/Z06cQI41iS/+KjkInrwN8hJArkSHk6t8wBI3yjlGgwZ6Mxh2ghWiwWbxYKLq7QYeXjrJn57eyEACpWKiH7xxCaMIGbwUFy9vFt/I0fqM/8hjpQdYf7m+RwoOcDt/W/nnoH3nPmiViCKIhkZ7+Pndx5abW+WLl1KWloaOp2OO++8s0lL4ak4heHZhVMYdiDNtRgunT3cvrfwbMVaaqR6Uw41ifmIFgEAhbcL7qNDcUsIQu7S/P14uUfLWfNZMtVlJhRKOaOviqXveY1/d4JgobjkX7Kzv6asbOtJx2VUVowjPT2G6mrJupeQkMDUqVOb3Q5zZiYFC1+xW9YUvr5Er/oNpU/jG79FUaRQX1gv4M2Jv0uNpY1eA6DT6uz7F0+k2Ij2juZQySHm/jPXXu6jiR8xKnRUs9t/Kqa0dLJuvx1LdjYKb2/CPliE66BBVFcfYdfua7FYSvHw6MfA+K9QqZrOX1mSncV3Cx7FUFVJWO++TL36RkpefRX9Vqmvq0JDCXz8MdzPP7/r9rIVHYGvLoWqPPCNhht+Ae8utma2kJKSEpKSktizZw8GgwGQXG969+7NkCFDiIyMbPD5Wq1WFAoFsmnTEFeuxGazNWsxxImTLp/kFx6Cfd9JgvBEovkThCXAtEXg37Nr2naWU5KdxYF1azi2YyvlBXl1J2QyQnv2ZvxNcwiMiml5xV3dZ/7D2AQbPx37iUtjLkWtkCzlxYZifFx82iX+gSBYOXT4KfLyfkCl8iM35w4OHcpEpVJxww03EN4C7yBHXLR0CsOmcQrDDuTEHsP8CmOD4DMgBaAJ8tKw6dEJp01dcTZhq7FQsy2P6q25CNVSXjSZRon78GDcR4Wg8Gja1UcQRHb9kcGOX9MRRfAOdOXC2X3QhTUdRMRmM5Kd8w3Hj3+MxSKJLze3nsTEPIjObwJHj71Kbm4iR48EM23akwQESJYjk8mESqVq1opX9abNFLz8MpqePQl9842WfBx2yoxljQrG/Jr8Jq+Ry+QIomD/u7dv71ZbDUWbjbSpF2POyJDSUXzyMS5RddH5qqsPs2v3dVgspXh6DmBg/JenzeNYkHaM7597ArNBT2T8YKY99CT6f9ZS8MorWPOkiYfbmDEEPvF4vft0KqXpkjgszwSvcLjxF0kkOjA2m43Dhw+TlJRUl5YF8PLyYvDgwQwcOBAPj2YE1XFO2Jy0lM7uM1azlFPwRIL5HYth9UPS33IVRI2VXER7ToHTBMdy0nxEUaQkO5NjO7ZyLGkbBWnSfrXZ73+Gp7+0V60g7RjIZARERp92rKksLsRw661oP/0UT13n7XNz0jhWwcqsVbNQyVU8O/JZYn1iW12XzWbgwIF7KS75F5BTU3MZu3a6oVQqufbaa4lqxZjuaIuWTmHYNE5h2MGciEoK1BOHJx63H143qMmUFWczosVGza5CqjfmYC2WrB0oZLgNCsR9TCiqgPr77WoqTKz5LIWcw1LOxp7Dgxh7TQ/UmsYfHIJgJjdvORnp72MyFwCg1UYSHT2PwICpyGRyBMHKps0j7ILRxSWYkJCrCQm5ij9+30Zubi7jx4+nV69eZxRbosWCoNejqF3dsuTmUvTue/jPuw9VUOvdFGssNY26pGZVZSE2spzQFquhftduit5+m9C330Lp2zBXY1XVQXbtvg6rtRxPz4EMjP/8tOIw51AKy196GqvJRI9ho5h63yNgMkluuJ99JrnhqlT43XQTujvmIHdza1W720RFNnw1DUqOgXuQJA4d0OpQUVHBrl272LVrF1VVVfbj3bt3Z8iQIXTv3r3ZbjuAUxg6aTmd0WdM1XDsb8kqeOQvmDgfEm6VzlXkwJ9PQO9LpLQz52jgKEeisriQ7IPJxI0Zbz/20yvPkrYrEU//AGKHDCc2YTihvfogPymVTWVxIZ/Nm4PNYkGhUnHL2x87xWEXc6j0EDf/cTPVlmqUciVz+s/h1r63tjgYntlcyt59t1NZuRu53AV9zbUkJlqQy+Vcc8019OjRo20NdZCxqau1gSPjFIadQGvyGJ4riIKI8WAJVeuzMWfWTXg1vX3xOC8MdYQnMpmM8kI937+UiCjCeTN70Gt445+LKNrIz19JWvq7GI1SeH6NSwhRUfcSFDQduby+kKypSSM3dxm5eSuwWstrjyooKwsjK6s7FeXBhISEMH78eGJjY5ttjct54EEqV69GptWim3M7vjffjLydkoCLosg1q67hUMkhBIR653xcfFg1fRUezUjFIIoilpwc1Cf1e1EUT/seq6pSasVhBV5eg4kf8BlKZdPRZjP27uLnV5/DZrXSZ9xELpxzLzK5HHNGBvkvvUTNho0AKIOCCHz0ETwuuqjz3UurCqQ9h4Up4KqDG36GoK6P/isIAmlpaSQlJXH48GF71DY3NzcGDhzI4MGD8WnCbfmMOMjg6+QsoqP6THURHPkdDq2S0sqcHLgr7jKY8WX739NJqxBFkdXvvc6xxG1YzXXfk8bDk5hBQ+k+bCQxg4dSkHaMbx6fZz9/3ctvExjdeguVk/YhvyafF7a9wPrs9QB09+nOcyOfo6+ub7OuNxiy2bP3JvT6dJRKL+Tye/nn7wxkMhlXXnklffo0Hbiv2TjI2OQI2sBRcQrDTsImiOxIL6Vw/gsEPPsUQ6N8zxn30eZiyqigakMOxoMlIEqDkEuEJx5jw9DE+XE8uQQvfy0+QQ0tS6IoUFj0J2lpb6PXS+4varWOyIg7CQ29Brn89KLMZjNRVPQHOTlLKa9IrK10Atu2RWKxSC6v4eHhTJgwoVluEobkZApefAnDLskarAoLI+DRR/CYOLHNwmdzzmbu+PuOJs/7uPjw8piXT2s5FK1W8l98kcpffiViyTdoavM8NofKqgPs3n09Vmsl3l4JDBjwKUpl09a+ozu28OtbCxEFgYGTL2H8jbcjk8kQRZHqtWspeOllLLVBU1yHDSPoqSdx6d69yfo6BH0pfD1dim6o8YLrfoSwIZ3bhlpqamrYs2cPSUlJlJWV2Y9HRESQkJBAr1692u5i4yCDr5OziI7oM6ZqeDUKbOa6Yz5R0Pti6HWxtHews/LBOmk2FpOR4/v2cCxxG6m7dmCsqgQgqHsPJt5yJ6U5Wax+v25bxZS7H8Q3NBytp6fTctjFiKLI7+m/s3DHQspMZchlcm6Mu5G7B95t34vYFCkHHyUvbzkalxDi4z9HJgvh22+/tW9jaBccZGxyFG3giDiFYWfjID+KrsRSpKfgr+Ns3JpPTxc5ASo5Sp0W9zGhuA0KQKaqmyiIokhJ6XrS0t6kqioZAKXSi4iIOYSHXY9C0fIUENU1R8nJWUpo6ExkhLBp0yYOHfqVoKBk8vJ6MGbMbAYPPrNoEEWRyt9WUfj661gLJHdW1xHDCXriiVYLnxORSFNKUhp1JT2Zy2Iv4+GEh/FU1w8UI+j15DzwINXr1oFMRtBzz+Jz1VUtakdl5T5277kBq7UKb+9hxA/432k/6+T1//DHB28BMPyKaxg147q69hiNlPzvU0oWL0Y0mUCpxPe669DdfRcK947Jfdkoxgopz2HWdlC7w6zvIbL1wXxawolE9ImJiaSkpNiT/rq4uBAfH8/gwYMJCGjDhGrty9IE+7xHpNcnP2fWvwqCDcY/3sZ34eScpi1jkyhC/n7JRbQiGy77oO7cl5dKv71eF0t7BgN6N5ob1oljIths5BxOIWX9P6RsXItQ++w6sfh34n/A6VbqQJQaS1m4YyG/p//OAP8BfHnRl2cMSmOz6Tl85Fmio+9H4xJUe8yGQtGOizcOMgd2OG3gQDiFYWfjID+KriRtTxH/fnUQk96Kp7uK8e4KMEqDjdxNhfvIENyGB1Np3kVq2htUVOwEQKFwo1v4LXTrdutp9761ht177qK09A8ANC7hhIXNIjj4CmQyT1Sq0/voC3o9xZ98QulnnyOazfjNmUPA/fNa1Q6zzcwFyy+gxFjSZBmNQoPRJrklB2gDeGbEM5wXLiWYtxYVkXXHXIzJychcXAh57VU8L7igVW2pqNzL7t03YLNV4+M9nAED/odC0XT+q91//sa/n30EwNjrbiHhksvrv7fsbAoWLqT6738AUPjrCHzoITwvvbTz3EtN1bBsJqRvAKUWrlkCsed32O2MRiP79u0jKSmpXiL64OBgEhIS6Nu3L2p1O+ReW/8qrH0Rxj8picMTz5lTjztx0hQtHZtsVsjcKrmIHloFFZl15x48XJcixmoCZfu42TvpOk51H20Kp1upY7Euax3hHuHEeEtRZw1WAzbBhrtaWpStqNyLp0d/+xicmJiIIAgMGzasYxrkIHNgh9MGDkSXxjF/+eWX+fHHHzl06BBarZaRI0fyyiuv0LNnXXAIo9HIgw8+yLJlyzCZTFx44YV88MEHBAYGdmHLnbQGm0Vg84/H2L9WcisMiPTkwtv64O6hpiYxn+pNOdjKTRRsX0tx2Y/ofQ8AIJe7EBZ2PRHd5qBWNwya0h50j72XnBx/8vJ/wmjK4ljqK6SmvUlVVXes1pGMHnVLk31O7upKwLx5eF9xBcUff4zu9tn2c9aiIhS+vsiaueKmVqhZdvGy+ukt7r8f3nrL/tJX40tudS7PbHmG45XHufvfu5kaPZUH/a6h4u4HseTmovDxkdJRtMH9w8tzAAPjv2D3npsoK9/Gvn1z6N//ExSKxnMUDrzwYswGA5uWfsmGbz7DRetK/4kX1b23sDDC33+f6o0bKXjhRczHj5P76GOUffc9QU8/haZ371a3tdm41FoKv78Bjv4FS6+Bq76EXlPa9TanS0Q/ZMgQQkPbOW/pCdG39kUQBVBY4N8XYMNrMO4Jpyh00r7sWAxrXwLDSc8ppVZaZOl1sWSRtx93isJzAa2nJwqVClvt1ovGUKhUaD2bTnXkpPMZFz6u3usP9nzA7+m/88yIZ4gUjnL02EtERc0jOuoe9u7dy6pVqwAIDAwkMjKy8xvspMvpUovhRRddxDXXXENCQgJWq5UnnniCAwcOkJKSglttBMO5c+eyatUqvvjiC7y8vLj77ruRy+Vs3ry5WfdwuFUBB1kt6WzKC/T8+b8DFGdJCeDjJ4Yz/LIYFMq6SItVFYc4uu8VyiwbpAOCAu+c8wh1uRHf0QNQnyZtRXths+kpKPiNnJylVFbtA8Bg8CApcRr9+vVn3Lhx+Pk1L+ekKAhkXDMT0WIh6MkncB3Syj1tTfQZo9XIoj2L+CrlK4KLbLz4tYCrUUQV0Y1un3yCOiKidfc7hfKKnezZczM2Ww2+vmPo3+9jFIqmJ3sbv/2CHSuXg0zGlHseoveo8xqUEcxmSr/4kuIPP0Q0GEAux+eaa/C/71575NcOxWqGFbfAwV+l5NmXfwJ9r2hTlc1NRN+h/P4obP+o4XGFWkoBcNki6DNdOpa6Fn5/pPacUvpfoQZF7d/D7qizphYegh0fS3UoVA3LRp0HIfFS2eoiSF9/UjlV7XW113iFgUftIovVDPqSunInrnHuO+t4mut+rC+VFlEiRtXlAt2zFH6+A7S+0HOy5CIaPR7ULXftd3L2UFlciKGyssEew+7DRjHssqucewwdHJPNxJW/XMnxynQu8bIwwdMKQFjYjVgtV7B8+XJEUWTo0KFMnjy5Yzx5HGQO7HDawIHoUovhH3/8Ue/1F198QUBAADt37mTs2LFUVFTw6aef8u233zJhwgQAPv/8c3r37s22bdsYPnx4VzTbSQupLDbw/UuJWEw2NG4qzr+pN5H9dPbzen0GaenvUFDwK1JSDzkBblPwPXwp4kE1VkQK9+zBJdoL9/PC0PTw6TDXQ4XClZCQGYSEzKCy6gCpxz4js0oAZOzfv5/k5L0MHZpK376zCQ0977TtMGdkYM7IQKis5Ph11+M5ZTIBDz+MKrh9ItFqlBoeHPIgkyImsWDD0xwNOorGAon39uTBQA/ay7bqXRuddM/emykt3cj+/XfQr99HTYrD0TNvxGQwsPevVfz+/huoXDTEDqnvliJXq9HdPhuvSy6m4NVXqfr9D8q+/ZbK338n4MEH8Lr8cmQtSc/QUpRquPIL+Hku7P8eVtwmubzFz2pxVa1JRN9hBMc3ftxmrg0AclI7jOUNE4mfTNxldX+XZ0LSZ02XnfJ6nTAsPgwrbm267MQFMPp+6e+CA7B4fMMyMrkkEMc8BOc9LB0rTYNvrqwvSE8Wnn0ug0E3SGX1pfD3/DpBfLJIVaggZCDESGMKFiOkrKxf58lC2T0AfGsDUgkCVOWeVNdJ9Z9t++bkCsnCDPUtyifcj7tfAF9eAhmbpXyDk56DUfdJZXpOhht/g24jpM/NyX8CT11Ao8IvfVciE26eg7tPx3j0OGkfXBQuLJu6hNXbZuBrPQrA39VeDCjozpG1KxBFkfj4eC7qiujhThwGh3qiV1RUAOBbm2Nt586dWCwWJk6caC/Tq1cvunXrxtatWxsVhiaTCZOpLszyyTnBnHQNHn4aouJ1VJeamHRLHO4+kiui0ZhLevp75OWvQBSlPYYB/pOJjp6Hm1ssDANzbjXVG3PQ7y3ClFaBKa0CZaArHmPDcB3gj0zZceLB06MvAwe+ycCBkJCQy9q1aymv+BOVehuHj2wjPSOKyIjrCQqajkrV0H3GJTqamD9+p+iddyn//nsqV/9O1b9r8bt9Nn633IJc07hLZnMRRRFEkf7+/Vl22Q8sDnqXLw59jbF4LRt/3sPjwx7nosj2ecB7ew9hQP9P2bP3FkpKN7D/wJ307/dBo9FgZTIZ5988B4tBT8rGtfz29kKmPzqfiH7xDcqqgoMJe+staq6+mvwXXsB8LJW8p56m7PsfCHr6abT9mhdmu1UolDD9IynB9q4vJZForoGhs8946ZkS0Q8aNAj3zgysc4IKKYULggzkIox+AIbPBZtFEoZudQsyRI6Bm1bVnrPUiccTf3c76fnqGy25pJ4oI1jrl9edlNvKxUNKTl6v3tr/BQtoT0rBIdhAppCEx8mIAliN9Y+Z9VCa2vR7PzkFibEcdn3VdNmht9cJQ2MF/HR702Xjr60LpmLRw1tNhGyXq6Dv5ZL1GSQR+W58Q+vqCeHZbTiMf6Lu+l/vq6vnVAuqTxT0PymA1P7lUsAXxamiVw0abwiMqytbkV0ntE+23o6tFdwnxKHcKgWKSZdC3XP0r7o6AvpI1sETaL0hakzTn5mTc5p6bqUyGVaLmc3ffcOFd9zb1U1zchqs1iqOJN9dKwoVrDGEsD1XhmJ3MkpRSWyvWC699NKW5cx1cs7hMMFnBEHg0ksvpby8nE2bNgHw7bffcvPNN9cTegBDhw5l/PjxvPLKKw3qWbBgAc8++2yD41kTJxLW0W5czWHHDhg6tKtb0eGUKH1xs+nRiNLkziJTohBtyBExuVrJSCgip18ZolLqfn7p7sRsCcCjqPHvyKr0oNpvMDXeAxBrQy4rLFW4l+7ErWwvcsHc6HXtzbEwGSlDK9GG5iBX1AbMscgIOOJF2H4fPPO1yGgoxIxGE/lFhRgM0uehUirpFh6G+gyBbYBG+4woiuQXFgIyggL87eIv2dvEM4OLOeItfR4Tclx5ercfOlP7rAGVhdWwZ9pxBJWILtWDfqvCkAuNDyICIr+qRY4pQCXClWYZIULTIlUURUrLyykuKUUQpPyN3l6e+Ot0KNszKlrDO0NYKgTkSC+zo6EwvNGSFSoVu3Q6dvr5UX0iaIwo0r2ykoSiImIrK+n0IVVlAkEO/rkQkgG5kfBLAVwaWPc6v33cijsOEWQiyIS6/+Ui2BRgq/2NyG2gra4rIz9Rtra8wQ0Mte7mCgvocqU6ZKeUk4lQ5Q1lgXVlow42Xk4mQLk/5EbXle23Vaq3MUoDIKN2r6xMgIEbm37L5X6QdtLCx8AN0j0bo9Ibjg2oe91/EyhtjZet9oAjg+pe990K6kaejyKgd4cKndRPbIDipHM1nlCuk/6ZHWDsdOJQVMpEDMnJVPaN4xcXQITrTTICRKelyRERZSJJV6dTGWRAYZbTb1U45Hnzfp84RJmSQk0eT+7OJtTQwW78DjIHzjYYCP/7b6craSM4jDCcO3cuv//+O5s2bbJ/Sa0RhqdaDHNycoiLi3OcL99B/Ks7ClEUSdmUy6bvjxLW25cpc/vZRYvFUsHxzMVkZX2BIEgud97ew4iJeRBvr8HNql8wWKnenkf15lyEKmmyI3NR4DYsCPdRoSi9OifQQVVVAeUVf5KT8y01NUftxwcNXI2PT89GrxFFkarff6fg1ddQ+vkR+f13zQtKc0qfEWpqyH7gAWrWbwCZjMjlP6A9KfGsxWbhf/v/xyf7PsEqWvFUe/LY0Me4OPridrEelpZuZu++2QiCCZ1uIv36vodc3nhkTavFws+vPsfxfbtxcXNjxjMvExAZfdr6LYWFFL7+OpW//AqA3MuLgHn34T1jRrOD+LQYUYR/n4eNtftmTgRskcnsiegTExM5cuRI+yaibyvVhfD5FDCUgb7YGZW0sxBFydp5qgVVoa6zygoC5OyUrKQnW01PWFI9gupb3Ta9JUX6PNVyazNLFtmRd9eVXXYtmKqkMqfWH9Qfrvq8ruxb/ST3V8Ha8H0Ex8Oc9fC8v3StTAGXvA09JoO7f0d8ck7OJWqfM6vefQ2FUsnoa27A3bd5e/CddD65ucs5lvoq8QP+h6dnfwA2bdrE/kP7iZkQwwXRdRHMy4xl+Gg6YFxzkDmwc49h0ziEMLz77rtZuXIlGzZsqJdc/N9//+X888+nrKwMb29v+/GIiAjmzZvH/ffff8a6He7Ld5AfRUdgNlhZt+QQR5OksPzd4ny58Pa+yJVGsrK+IDPrf1itkmuvp+cAYqIfxMdnZKvEimgV0O8ppGpDDtZCvXRQIcN1gD8eY8NQBTWdkL09EUWRpKTvOHrsU1QqI8eOTmHkyJEMGzaMkpKf8PDoi6dnv3rXCHo91pIS1OHh9tfFH32M3y03o/D2xpKbi/WkxOcnRyW1lZVR+MqrmI4eRebiQugbr+Nxkqv1yRwuPczTm5/mYOlBAMaGjeXp4U8T5BbU5vddUrqJfftmIwhm/P0voG+fd5HLG7d+WoxGlr/4NLlHDuLq5c3VC17BN+TMUTn1SUnkP/8CpsOHAXDp3Zugp5/GdVA7JdptjA2vSdE8gZqh97Hb8wJ27tzZcYno20JNCXx5MRSmgIsnDLweLnpJOufMY+jkVESxvtg8IRR3fiEtHpxwP3YuIjhpLrXPGUGwIXcGjHJIRFFAJqvzY7Faqxqk+zo1V+HmnM3cv+5+7hl4D7N6zTpj/sMW4SBzYIfTBg5ElwpDURS55557+Omnn1i3bh3dT0kKXlFRgb+/P0uXLuWKK6SIgYcPH6ZXr15N7jE8FYf78h3kR9HeFB6v5M//JVNZZEAmlzF8WjT9JwSQm/ctGcc/wmKRwpq7u/UkOvoBdLrz28V6JQoixiNlVK3PwpxeaT+u6emD+9gwXKK9OnwTtSiKHDp0iLVr/6WwsAgADw+R+IFLARseHn0JDZ1FYMDFKJUNBWvRu+9S/MGHKLy88L35Joo/+BDRfHrXWLmXF90+/ghtfPxpy1kEC18mf8kHez7AIlhwV7nzcMLDTI+d3ubPpaRkA/v2z0EQzAT4T6ZPn7eaFIfGmmp+eO5JCjNS8fDz55pnX8HT/8zR60SrlbLvvqPonXcRKqXv1+uyywh46EGUOt0Zrm45oiiS9fs7JO7YSgrdsdVuwz6RiH7IkCH4+zuAJcVQJgUGyd8PHsHSXkG/mLrz5+hzxkk7c7JF+Y1N8OBop4XZSfNp4jlzIvG9k66luGQdqamvMzD+C9RqabwsLy/nn3/+YerUqWiaiHPw5KYn+SVV+l776/rz7MhnifVpp9yUDjI2OZw2cCC6VBjeeeedfPvtt6xcubJe7kIvLy97WPe5c+eyevVqvvjiCzw9PbnnnnsA2LJlS7Pu4XBfvoP8KNoLURTZ9282W348hmATcfd1YdItvRC0f5KRsQiTKR8ArTaS6Kj7CAy8uN7qVXtizqqiakM2hgPF0h4ZQBXqjsfYMLR9dcgUHTtQCYJAcnIy69ato7r6OJFRu9HpMpHLpf1yCoU7QUGXERo6Ew/3XvbrarZtp+DFFzEdPdpU1Q0IW/Q+Huc3PzF7ankqz2x+hn3FUgqOkSEjmT9iPiHuIc2uozGKS9axb99cRNFMQMAU+sS9hVzeuBVNX1nBd/MfpTQ3G++gYK559lXcvJvnqmItKaHwrbeoWL4CALm7O/733oPPrFnI2sFq11Qi+hDyGdLNjb6zXkCtcZB9VsZK+Goa5O4CN3+4aTX496hf5hx7zjjpAE51M3a6HztpKac8Z8rz89iw5HNCe/Vh8NRpXdgwJ7l5yzl06AlE0UZ4+C306P4kVVVVfP7555SWltKvXz+7weVUBFFgxdEVvJn0JtWWapRyJXP6z+HWvreiUjQjLsLpcJCxyeG0gQPRpcKwqRWlzz//nJtuugmoS3C/dOnSegnug4Ka5w7ncF++g/wo2guz0cqy53dQVWIkKl5HnwtSycl/F4MxEwAXl2Cio+4lKOjyJgVDe2MtMVC1MQf9zgJES60o89XgMToU1yGByNUd6/Jis9nYt28f69evJzjYg+EjBHJylmIwHLeXiYt7g+Cgy+yvRauVsmXfUfj224jV1We8R+SK5fX2FTarXYKNr1O+5v0972OymXBVuvLA4Ae4qudVyNsg1ouL/2Xf/jsRRQuBgZcQ1/v1Jr/rqpJils1/lMqiAnThEcxYsBCte/PzUxr27iX/uecxJicD4NK9O4FPP4VbKzez5+XlkZSUxL59+7DUJm62J6L3KiV0/QNShMy+V0oRTNs6KLYVUzV8cwVkbZOiRN60qn4EyhOcY88ZJx1Ac/MYOnHSFKc8Z/b98wdrPnkfjZs7t7y7uEXPdiftgyiKHD/+Ialp0n75oKDL6N3rZYxGK59//jlFRUV4e3tz880343WGnMH5Nfm8sO0F1mdLkYq7+3Tn+VHP08evZXOPejjI2ORw2sCBcIg9hh2Jw335DvKjaE/y08pJS96BzP9N9HrJ6qVW64iMuJPQ0GsaTWnQGdiqzVRvzaNmay6CXtpPI3dV4jY8GPeRISjcGw+Y0l5YrVaMRiPu7u6IokB29t8k7XwLL89MRo3agIuLtEm/onIvCoUr7m7dqd62jYz7b8Lm3vTPUlElI+bTFS0WhifIqMjgmS3PsLtwNwBDg4ayYOQCwj0aj8TZHIqK/mb/gbsRRQtBgdOIi3sNmaxxAV6en8eyBY9SU1ZKUGwPrnrqBdTa5ifGFm02ylesoOjNt7CVlwPgOXUqAY88jCow8IzXtygRffLPUk4+wQo9p0pBPZRd058BKM+Sgs2YKuDGXyF4QOPlzsHnjJMOxtlnnLSUUwOjCTa+fvQ+ijMzGDj5EibcNKcLG/ffQxRtHD7yHDk53wAQ0W0OMTEPYzKZ+Oqrr8jNzcXDw4Obb77ZnhbuzHWK/JHxBy9vf5kyUxlvj3ub8yOa763UAAd5zjicNmgnysvL68VkaQ1OYdjZOMiPorWIgsiuv46jcVMRNzqEktL1pKW9SVWVZMFRKr2I6HY74eE3oFA0f7LfkQhmG/qdBVRtzMFWWpsbTSnHbXAA7mPCUOk6x0Xwjz/+YNu2bcjlFnx9gxk/fjy9e/dm164ZVFTuxtsrAT9hBOk57yI0TItoR14BQ7uvwK1vfKvbYhNsLDu8jHd2vYPBakCr1HLfoPuY2Wtmq62HRUV/sf/APYiilaCg6cT1fqVJcVicdZzvFjyGsbqK8Lh+TH98ASp1ywSXrbycwnfeoXzZdyCKyFxd8b9zLr433IBM3VD0ny4RfUJCAhEREY17MRz5E767HmwmiDkfrv4G1F3Yt8uzoKYIQgc1XeYsf8446QKcfcZJS2mkzxzft4flLz6FXKHgxtcX4RviAPOu/wA2m4nklPspKvoTkNGj+9OEh9+I2Wzmm2++ITMzE1dXV26++eZW7ZMvM5axOn011/a+1n6swlSBl8vprY4NcJDnjMNpg1bwyiuvEBkZydVXXw3AjBkzWLFiBUFBQaxevZoBA5pYOD4DTmHY2TjIj6I16CvN/P15MlkHy1Aood+VSzAK6wBQKNwID7+ZbuG3Nprs3REQBRFDcjFVG3KwZEnRUZGBJs4Pj/PCcOnWse02mUzs2LGDzZs3YzRKAjU4WEffftsxmbYjnkjybQPkUtsaIIAqU8aQoT/j2rftyd+zKrOYv3U+ifmJAAwMGMhzI58j0iuyVfUVFv7BgeR7EUUbwUFX0Lv3wib3lOanHuWH55/AbDAQPSiBSx98EkUr9gsakpMpeP4FDHv2AKCOiiLwqSdxHzXKnog+MTGR9PR0+zUtTkSftg6WzpQSnEeMhlnLpETunYHVDLm7oduw5l9zFj9nnHQRzj7jpKU00Wd+euVZ0nYlEj14KNMfeaYLGvbfw2wuJWnnVRiNufTp8waBAVMAWL58OQcOHMDFxYWbbrqJ4ODgdrlfiaGE6SunMyliEvcPvh93dTPGUXCY54zDaYNWEBUVxZIlSxg5ciRr1qxhxowZfPfdd3z//fdkZmby119/tapepzDsbBzkR9FSsg6WsubzFAyVZuRKCwEDv8ErcgsKhZqw0OuJiJiDWn125C8SRRFzeiVVG7IxHiq1H1dHeuIxNgxNL19k8o4LVGM0Gtm6dStbt27FXBt9NCZGx6jRIjnHv8EsFJ/2et/3lPR64cdWu5KeiiAK/HD4B97c+SZ6qx4XhQt3x9/N9XHXtypMdUHhapKT5yGKNkKCZ9Cr14tNisPslAOseOkZrBYzPUeMYcq9D7Uq7LkoCFSs/IXC11/HVlKC3lVL9sRJHNX5Ua3X28t1796dhIQEYmNjkctbaBk9vhWWXAXmKghLgGuXg9a7xW1tETYL/HATHPkDrvgU+lzWvOvO0ueMky7E2WectJQm+kxJThZfPXw3gs3GlU+9QES/+M5v238QgyELozEXH5+6RcSCggKWLVvG9OnT6datW7vd66ejP/HMFkn0B7oG8syIZxgbNvbMFzrIc8bhtEEr0Gq1HDlyhPDwcO677z6MRiMff/wxR44cYdiwYfXSbLWEjgkP6eScQbAJbFuZyi/v7sFQacbFK5uI85/HJ3oHYWGzGDFiLd27P3HWiEKQgh65RHuhu6kPgfcPwnVwIChkmDMqKfkqhYK3dlKzI98euKa90Wg0jB8/nnnz5jFq1ChUKhVBQT2JjrqHwbrF+HygQKbHHlnVjgDKTHA52L6iVS6Tc3Wvq/lp2k+MCB6ByWbijZ1vcP3v15Nantri+gIDptAn7k1ATm7e9xw6/DSi2PhnGRbXl0sfehK5QsnhrRv5e/EiWrNWJZPL8Zx2KeKHH7B95jX8dskl7HbVUq3Xo5XLGT1yJPPmzePaa6+lR48eLReFABEj4MaVoPGG7EQpXURNScvraS6CDX6aA4d+A5m88yyUTpw4cdIG/ELDGTBJsljtWr2yi1tz7lJdfYT8/LrPV6sNrycKAQIDA7n77rvbVRQCTO8+nU8v+JRwj3AK9AXc9c9dPLbxMcqMrRMjTlqOj48PWVlZgLRVaWJtTmtRFLHZbK2u1ykMnTSJIIj89OY2dv5+HETwjl5PxPkLieg5nBHD19Cr5/NoXNqeLL0rUQW64XtVD4IfTcDjvDBkGgXWIgNlPx4l75UdVK7NRNBbOuTerq6uTJo0ifvuu4/Ro0dL7fHVUV0SRnbiwIaupHKwBkLVlWB1P32ew9YQ4h7Cx5M+5tmRz+Kucmd/8X6u+vUqFu9bjPVEMuxmEhh4MX3i3gDk5OYu4/CRBU0Kvqj4wUy99yFkMjn7//2L9V//r0XisKamhk2bNvHee++x9McfyRBFRJmMIIOBEZu3MHXZd0S+/gaKWlfTNhE6WIoE6uYP+fvgiylQld/2ek9FEGDlXXBgBchVMONriG3Dhn8nTpw46URGXDmT0TNv5OJ5j3Z1U85JysuT2LnrapJTHqKkZKP9uCiK/PHHH/W2TpycvL49GRo8lBWXruDGuBuRy+SsSlvFtJ+n8Uf6Hx1yv65m0aJFREZGotFoGDZsGDt27GiyrMVi4bnnniMmJgaNRsOAAQP444+Gn0tOTg7XXXcdfn5+aLVa+vXrR1JSUrPac/nllzNr1iwmTZpESUkJkydPBmD37t3ExrY+76RTGDppFKMxl8NHnsSq/R650kDI8I/pP7mEkaN+oU/c62i17bv61NUoPF3wmhxF8GND8ZoahcJLjVBtofLP4+Qt3EH5r6lYy4wdcm93d3d7FExVSAhHZlxFmqwPVZV+iKKkDkVRhgwNuED1BAuJaVdzIHkelZX727UtMpmMy7tfzk/TfmJM6BgsgoV3d7/LrFWzOFx6uEV1BQVdSlzca4CMnJwlHDnybJOCr8fw0VwwR8pRunPVSrYuX3rauqWQ3MdZsWIFb775Jn///TdlZWW4uLgwbNgw7rrrLuYsXMjweffhotNhycwk+465ZN0xF3NmZoveR8M31hdu/h08QqDoEHw+WQoI016IIvw2D/YuBZkCrvwMel7UfvU7ceLESQej9fBk2GVXoXJpPIm6k9ZTWPQnu/fcgNVaiZfnADw9pXgDoijy119/sW3bNr799luqm5H6qq1olVoeSniIbyZ/Q6x3LGWmMpIKmidszia+++47HnjgAebPn8+uXbsYMGAAF154Yb28xyfz1FNP8fHHH/Pee++RkpLCHXfcwfTp09m9e7e9TFlZmd1r7PfffyclJYU33ngDH5/m5Xd+6623uPvuu4mLi2PNmjX2eAl5eXnceeedrX6vzj2GnY2D+Fc3hb6mkGOHPqek6gsEwYwoyPDQTKb3gDl4erQ92MnZgmgT0O8rpnp9Npb8GumgHLT9/fEYG4Y6pJkbrVvBggULAPD2yaVfv3/sx/fvn4BMJhIWloK3d4H9uLf3MCK6zUanG9+u7RBFkd/SfmPhjoVUmitRypTM7j+b2f1mtyjJbV7eClIOPgqIhIXdSI/uTzeZw3TX77+w9otPABh3w20MnnpZvfNNJqIPCWHIkCH07dsX9SkRSW3VNZR89CElX3wJVisytRq/227Fb/Zs5No2RKQty5DcScszwSscblgJfjGtrw8kUfj7I7DjE8l99PLF0O/Kltfj4M8ZJw6Is884aSnN7DOCYKMoI53A6NZbMZxIZGcv4fCRBYCATjeRvn3eRqGQxrF169axbt06AC699FIGDTpN5OoOwGKz8PXBr5nRY4Y9GE2VuQp3lTsymYytuVtZuOIuHrtiESNCRnRq206lpdpg2LBhJCQk8P777wMgCALh4eHcc889PPbYYw3Kh4SE8OSTT3LXXXfZj11xxRVotVq++UZKJ/LYY4+xefNmNm7c2OD6rsRpMXQCgMVSwb6kd1n6wmp2fB+E1SLg7T2MIUOWMWz0e/8pUQggU8hxGxhAwH0D0d3SF5dYbxDAsKeIwnd3U/S//RiPlLVqP9yZuPzyy5HL5ZSXBVNVKe3drKr0o7wshLLSMLrHfkRCwkqCAqchkykpL99OQeFv7d4OmUzGJTGX8PO0n5kQPgGraOXDvR9yzaprSClJaXY9wcFX0LvXywBkZ3/J0WMvNfm5DZp8KaNmXAfAuq/+x/5/pahaeXl5/Prrr7zxxhusXr2awsJClEolAwcOZPbs2dx+++0MGjSogSgEULi7EfDQQ0T/shK3kSMQzWaKP/iQ1KlTqfzrr9Z/hz6RcPMf4BcLFbX5BQsPta6uE4giWGst09MWtU4UOnHixImDYKiq5JvH5rH0mYepLGrcuuLkzIiiSGrqGxw+8gwgEBJyDf36LrKLwi1btthF4UUXXdTpohBApVBxS99b7KJQFEXuX3c/t/11G5kVmbyz6x3SPC28s+udDpk7tYaqqioqKyvt/0wmU4MyZrOZnTt32vfwgZTqauLEiWzdurXRek0mExpNfWu5Vqtl06ZN9te//PILQ4YM4aqrriIgIICBAweyePHiZrf9yy+/ZNWqVfbXjzzyCN7e3owcOZLjx483u55TOWeF4aJFi4iLi2PcuHFd3RSHxmqtIT1jEauX3sfmL2IwlnXDatQRFbyYQQOX4O09pKub2KXIZDI0PXzwv60fAfcMRDvAH+RgOlZO8WcHKHx3N/rdhYi29gtU079/f2677TZARkbGQGpqvMjIGAjIGD16NP3798fToy9RUS9QWvIQbm5XEBpys/366pqjpKa9iclU1C7t8Xf15+3xb/Pq2FfxdvHmSNkRZq2axbu73sVsa95ex5CQq+jV6yUAsrI+41jqwiYHhmGXX82QSy5HlMlYtWwJ7731Jh9//DE7d+7EYrGg0+m46KKLePDBB5k2bRqhoaHNaoNLdDThn35K6LvvoAwJxpqbR86995F122xMaelnrqAxvEIlt9KAOKjOl/Yc5u1rXV0Acjlc/I4kOONntb4eJ06cOHEANO4eaNzcsVksbFz6ZVc356yluORfMo5/AEBU1Dx69XwBuVxK75SUlGRPTTB+/HiGDx/eZe08mdTyVPYW7mVH/g4u++UykkukfNfJJclsyd3Sxa2TiIuLw8vLy/7v5ZdfblCmuLgYm81GYGBgveOBgYHk5zceY+DCCy/kzTff5OjRowiCwJo1a/jxxx/Jy8uzl0lLS+PDDz+ke/fu/Pnnn8ydO5d7772XL79s3u/kpZdesm9D2rp1K4sWLeLVV19Fp9Nx//33N/cjaIDTlbSzcRB3HZvNRE7OEtJS/0d24gVUpElhhnURIpNvH4mnX+ckfT8bsZYaqd6cQ01iPqJZEoQKLxfcR4fiNjQQuUvLc/GdSm5uLp988kmD47fffjshISEAJCYm2leLNBoNcXFx9O/fH73+Q/LylyOTqQkKmka38Jtxd+/Z5jaBlLvope0v8ddxaRCK8YrhuVHP0d+/f7Ouz875lsOHnwYgotscYmIebuBWWlxcTFJSEknbt2OtfTzJZTJ6x8WdPhF9CxAMBoo/+YTS/32KaLGASoXfjTegmzsXuZtbyyvUl8LX0yFvD2i84LofIawFiyoHf4MeF4Gi7X0HcJjnjJOzCGefcdJSmtlnCtJT+ebxeSCKzHz+dUJ69Or4tp1jiKLIkaPP4u7Wi9DQa+zH09LS+OqrrwAYNWoUEydObPP42J5kVWYxf8t8EgsS7cfkMjm9fXuzdOrSLmvrCW2QkpJSb3HZxcUFFxeXemVzc3MJDQ1ly5YtjBhR5wL7yCOPsH79erZv396g/qKiImbPns2vv/6KTCYjJiaGiRMn8tlnn2EwGABQq9UMGTKELVvqRPK9995LYmJik5bIk3F1deXQoUN069aNRx99lLy8PL766iuSk5MZN24cRUWt6mJr/AABAABJREFUMw6csxZDJ40jCBZycpayddsEDuz8jKO/z60VhSKDJ0dw1SPjnaLwDCh9NXhfEkPwY0PxvCACubsKW4WJilVp5L28g4o/0rFVti1qqJubG+7u7oSEhHBxZiYhISG4u7vjdpJoiYqKYtSoUXh4eGA0Gtm1axdffPEFW7fqEcUoRNFMXt4PbN8xhd17bqKkdFOb3Tf8tH68Me4N3hz3Jr4aX1IrUrn+9+t5I+kNjNYzB+cJC51Fzx7PAnA882PS0t6wh1ZOSUnhyy+/5P3332fbtm1YRRG1XIa6MBuPtGSGx/UkMjKyXQYSuVZLwH33Ef3br7ifdx5YLJT871NSJ0+hYtWqln9Orr5w4y8QPgyMFfDVNMjY3LxrN78L310Ly2+SopE6ceLEyTlEYFQMfc6Toiqv+2qxw7gROjpmcylWqxTjQCaT0bPHgnqiEKBbt27E1S6aOpooBAj3DOeWvrfUOyaIgsNYDT08PPD09LT/O1UUAuh0OhQKBQUFBfWOFxQUEBTUeGR+f39/fv75Z2pqajh+/DiHDh3C3d2d6Ohoe5ng4GDi4uLqXde7d28ymxkgz93dnZISKWXWX3/9xaRJkwDJUHBCfLYGpzD8jyCKNvLyf2bb9gs4dPgpTKZ8ivbeiLkyFK2nikvvG8jwaTHIFc4u0Vzkrio8J3Qj+NGheF8ei1KnRTTaqFqXTd4rOyhdfgRLof7MFTWCl5cX8+bNY/bs2QwpLmb27NnMmzcPLy8vexmdTsekSZO4//77ufHGGxk4cCAuLi5kZfmxedMY4np/ib//RYCc0tKN7NlzI3v23NQu731SxCRWTlvJ1OipCKLAF8lfcNWvV7G7cPcZrw0Lu44ePeYDkHH8Q/5dO4+33nqL77//3h5iu0ePHsyaNYuHH3ucuKgIBKOen159nrxjLYuMeibUERGEf/wRYR9+gCo8HGthIbkPPkTmjTdhPHKkZZVpvOD6nyBqLJir4Zsr4Ng/p79m+8ewRrKgEjxAciV14sSJk3OM0Vdfj8pFQ97RwxzesqGrm+PwGAxZ7Nw1gwPJ9yAITafMUiqVXHnllUyePNnhRCFIls7397yPXFZ/bJPL5Ly3+72zYpFArVYzePBg/vmnbjwXBIF//vmnngWxMTQaDaGhoVitVlasWMG0adPs50aNGsXhw/XnNEeOHCEiIqJZ7Zo0aRK33XYbt912G0eOHGHKFCl3aHJyMpGRkc18dw1xzkLOcURRpLDwT7bvmEpKyoMYDJmoVH706P400+66mphB/lz95FDCe/t2dVPPWmQqOe5Dgwl8YDB+18ehjvAEm4g+qYCCN3dS/EUypvSKFj8AlUql/UEvk8lQKht3M5TL5URFRTFt2jQeeughrrrqKsaNG0dw8Gj691vEiOF/U1WVgCCoMBhDMRoly54oClgs5a1+394abxaOWch7E94jQBtARmUGN/5+I6/seAW9pWlBLAgCRsMIqiqn1B75DV/fzbi5uTFmzBjmzZvHrFmz6NGjByq1movve5RufftjMRr48aX5FGVmtLrNTeExfjzRv/2K7t57kLm4oN+xg/Tpl1Pw8svYqqqaX5HaDWZ9D90vAKsBll4Dh1Y1XjbpcykCKcDYh6V/Tpw4cXIO4u7rR8K0KwDY8O0XWMwNg3w4kaiqSiFp51Xo9enUVB/FbK7vEnj8+HH+/PNPhFoPE7lcjtxBFxW35G4huSQZQazvDeNIVsPm8MADD7B48WK+/PJLDh48yNy5c6mpqeHmm6X4DjfccAOPP/64vfz27dv58ccfSUtLY+PGjVx00UUIgsAjjzxiL3P//fezbds2XnrpJY4dO8a3337LJ598Ui+S6elYtGgRI0aMoKioiBUrVuDnJwUr3LlzJzNnzmz1e3XuMexsOmkfhyiKlJZuIDXtTaqqDgBgqeyN2nQd5115KQqFa4e34b+M6XglVRuyMaaUQO0vTB3ugfvYMLR9/JDJW7Cy18Y+U11dzeuvv45SaZLyIcpc6dWrF7GxNZSVv0Zw8BV0C78ZV9fIVt+j0lzJa4mv8fOxnwEIcw/juVHPkRCUYC9TU1PD7t27SUpKory8HIDQ0BSiY3YCEBlxHzEx9zZav9loYPkLT5F39DCuXt5c8+wr+AQ3L+hMSzFn51D4yitUrVkDgEKnI+ChB/G69FJkzR18rWZYcSsc/EXKRXjFYuh7Rd35Pd/Cz3cCIoy8ByY9D+252uvcL+akpTj7jJOW0sI+YzEZ+ez+O/Dw03HxfY/gqQvowMadnZSWbmbf/jux2apxd+tJfPznuLjUBT3Jzc3lyy+/xGQyceGFF57RYtWViKLIzFUzSSlJQaSh1JAhI84vrkv2GrZGG7z//vu89tpr5OfnEx8fz7vvvsuwYcMAGDduHJGRkXzxxRcArF+/nrlz55KWloa7uztTpkxh4cKF9hgRJ/jtt994/PHHOXr0KFFRUTzwwAPMnj27Xd9rS3EKw86mEwbfsvJE0lLfoLxC2uwrl7siFj3M4fXhCFaRi+8ZQEQfvw5tgxMJS5Ge6o051OwqAKv0U1P6aXAfE4rb4EBkKsWZK2mHPlNaWsr+/fvZt2+f3Sc9tvtWgoOP1ZaQ4a+bSHi3W/H2GtLqh/SmnE08u/VZ8mukSF0zesxgRsAMDuw5QEpKCjabDZA2eMfHxzNkyBD0+p84lvoKADHRDxEZObfRuo3V1Xz/7GMUZWbgofPnmmdfxVPn36p2NofqTZspePFFzLXurdqBAwl6+ik0p+wJaBKbFVbeCfu+k3ISXvo+DLwW9i+HH//P3nlHR1G1cfiZ7em9kBAICZAQIKFXAWkioKigoKgUBVERFfSzIqJgV1AERUXpSlMQRaVX6SQkoUMCJKT3un3n+2MhEBMgCSkbmOecHN2ZO3feZe/end+9bxkPogU6PQMDP61eUQjSQ75E5ZHGjERlqcKYyc9Mx8nDyybdHuua1LQ/OHHif4iiEVfXzoS3no9S6VxyPj09nYULF6LVamncuDGPP/54uSWabAWD2cA9a+4hS5d13TYeGg82PbwJlbx234fNaYMqsnv3br777jvi4+NZvXo1/v7+LF26lCZNmnDXXXdVqc9qSoEnYQvk58cQFz+L7GxrsUyZTIWPxxjid/flYkw+IBIY7olPoPONO5KoNpRe9rgNbYZz/8YU7kumcF8KpiwdueviyN98Eceufjh09UPuUPGC8VXB3d2dXr160bNnT5KTk4mJieHYMXsyMgJp3z4bozGSjMzNZGRuxs4ujOCgCXh7D0IQKueecpf/XawdspYvDnxB5NFIsrdl84vxl5Lz5ReifwZRNBMX/zlx8Z8jCDIaN55Qpm+NoyPD3p7ByulvkJOSxJqZU3n0vU+wd3G9hX+Z6+N4V3ccfl9H9pIlZHzzLdqoKM4//AiuI4bj/dJLyF1vcl+5Ah6cDwoNRC62ikRjsbXuoVwN4cPh3k+qXxRKSEhI2CjSLmH5XJux29t7EC3DPkcmu5oIJSsriyVLlqDVavHz8+Oxxx6zaVEIoJKrWHHfCrJ12VcPTp4Ms2eXvHTXuNe6KLxd+PXXX3nyySd5/PHHiYyMLKnBmJeXx4cffshff/1VpX6lHcPapgZWZQsLzxB/fjYZGdYSAoKgwM9vOHbiWHYuSaUgW4dMIdBtaFPCezeUVurqEIvBTPGhVAr2JGHOsX6JBaUM+w4+ON3lj6K8jLA1tJJvNps5f/48AQEBmEyJJCT+RHLyb4ARvd4Hd7dZtGrVCkdHxwr3mZKSwqFDh4iNjcVotAbMmwQTiQ6JNGnVhFf6vIKTyqnca8+fn0v8eesPRtOmb9K40bhy2+VnZrDi3dcoyMzAq3EThk/7CE0lbKwKxtRU0j/9jPzLE63c1RWvKZNxffjhm7uXiiL88yYc+Nb6uv8MaNYfPENqLtmMtPsjUVmkMSNRWW5hzOiLizm4bhUh3XriHRh08wtuc/ILjhEZOZIGDR6mebOppRZl8/Ly+Omnn8jLy8Pb25sxY8Zgb19Pw4FsZJ6xOW1QBdq2bcvkyZMZNWoUTk5OREdHExQURFRUFAMHDrxujcWbIe0Y1mOKiy9w/vzXpKb9jjWQTcDX9wGCmrzE2f0C21afQ7SIOHvZMWBcS7wbSzuFdY1MJcexuz8OXfzQHsukYNcljEmFFO1LoWh/CnatPHHq2RDdmRzyN1/EuX9jnIH8rQlXX/dtVC22yOVymjZtCoBa3ZQWoR9y4XwbUlJXUFToysGsf9i4cSNNm/rTJOgUrVq+gLNzYJl+jEYjx44d4/DhwyQlJZUc9/T0JKJdBLstu4mMiyQyLZLdv+/m3a7v0rNhzzL9NGnyAiIWzp//inPnPkJARqNGT5Vp5+zpxSNTZ7Li3dfJuHie3z5+l4enzkSlqbkyK0pfX/xnfYHriBGkzZyB/uw5Uqe9S+7qNfi+MxW78BvUcRQEa41Ckw6OLLRmITUWQ6/Xa8xeCQkJCVtmx5IFHNu+idS4szw8deYdv2Dt7NSKzp3+QqPxL/VvYTabWbZsGXl5ebi7uzNq1Kj6KwolqpXTp0/Ts2fZZykXF5eSPA5VQRKG9RCdLoXzF+aSkrIaUbTGbHl53UtQ0Ms4OjQDwM4xDdEi0qyjD3ePDEFlJ33UtoQgF7CP8MIu3BN9fB4FOy+hP5ODNjYTbWxmSbv8zRfRNxqOfvPFktdAtYnD/zJw4HAKCwdx7NgxYmJiSE5Oprh4E1rtEQ4eWoeP92AaN34aZ+fwkkL0R48eLcl0KpPJaNGiRalC9D3owYBmA5j27zQSChKYuHUiQ4KH8FrH13BRu5S6f1CTFxFFMxcuzOXsuQ8QBBkBAWPK2OnWwJ+Hp85k1fQ3SDl7mt8/m8lDr7+LooZdaxw6d6LJb7+R8/PPZHw9F11sLBdGPIrrw8PwmjwZhXs52X3P74ZfRoDaCbpMhP3zYMdHYCiC/u9LrqQSEhJ3HJ0fGs7J3dtIOBZNfOQhgtt3qmuTahWTqYDjJ14lsPGzuLi0BcDOruzOlVwup3fv3mzZsoVRo0ZVyoNH4vbG19eXc+fOlSlNsWfPnlL1EiuLpBbqEQZDJhcuzicpaTkWi7WAuod7T4KCpuDs3BqDzlTStllHHxxc1TRo6nLHr8TZMoIgoAl2RRPsijG1iIJdlyiOTC/VRu9QWgTmb75YY8IQrEVTu3TpQpcuXcjMzCQmZjUFhWk4Ol4iPeNP0jP+RK9rxLlzQWRnNwQEXFxc6NChA23bti33h6u9T3vWDFnD3Ki5LD2xlPVx69mbvJepXabSt1HfUm2DmrwMopkLF7/lzNkZIMgJaPhkmT69GgUy9M33WD1zKgnHovnzq0+4f/KbyK9T1qO6EJRK3EePxnnQINK/mEXeunXkrl5D/sZNeL30Im4jRiBcsSFhP/w8wrpb2KQX9JsOLg1h45uwdw4YtdbkMzaaalxCQkKiJnD18aXdoAc4tP5Xdi77icCIdjU+d9sKen0GR6OforDwBIWFJ+naZQsy2fUXNcPCwmjevPl1S1ZJ3JmMHz+el156iZ9++glBEEhOTmbfvn28+uqrvPPOO1XuV3oaqQcYjXnExX3O3n29SUxciMViwNW1E+3braRNm4U4OrTkwPp4fn53P8X5hpLr/Jq5SqKwHqH0dcB9eAiOPf5ThuE/n6Fz/4oVP60OPD096dPnOXr1/B2z6S2ys5pjsQioNQm0bLWD9u3/wMXFgXbt2t00HtFOYcf/Ov6PJQOX0MSlCZnaTF7e/jKv7XyNHF1OSTtBEAgKeoXGjawJaM6cmc6lpJ/L7bNBsxAeeu0d5EolcYcP8M83sxEtlnLbVjcKLy/8Pv6Ixj8vR92iBZb8fNJmzOT8w49QHBkJl47AsofBWARBvWH4ElCooOvzcN+XgACHfoD1k8BirhWbJSQkJGyFzg8Nx87ZhZzkS0Rv/ruuzakViovPc/jIIxQWnkCp9KB1q3llRKHBYGDdunWl3AElUSjxX9544w1GjhxJ3759KSwspGfPnowbN44JEyYwadKkKvcrJZ+pbSoReGsyFXHp0mIuJvyAyZQPgJNTa4KDXsHd/S4EQaAwR8fmn06QfDYXgLuGNyOiT0BNWS9RS2QsiEV/LrfMcYWvPb4vt68VGywWC3FxcRw+fJgzZ85wZapwdRUJCU1GodhLdnYDTp64mhK5USMvWrfuRMuWLW8YB6E36/n26LcsPL4Qi2jBXePOW53fYkDggJI2oihyLu5jEhIWABAaMhN///KLtsYdOcj6Lz7AYjYT3u9e+o2bWKuLIqLZTM7KlWR8+RWW/HzUrkYCB+QhEwwQ2MNa9F71n3+P6JWw7llr2YpWw+Ch70BeTdlpbSTAX6IeIY0ZicpSDWMmevNfbFnwDRpHJ57+6ocaTyRWl+TlHSU6ZjxGYzZ2do1oE7EIe/vSC70mk4kVK1Zw7tw5vL29efbZZ222eH2VsJF5xua0wS1gMBg4d+4chYWFhIWF3bK7sbQEYYOYzXqSkn/mwoVvMRqt9V8cHJoTHDQZT8/+JQ+8F2Iz2broJLoiI0q1nLufCKF5R9+6NF2iGsjfmlCuKAQwpRaT+uURvJ8JR2ZfMyUuyitEDxAYGEiHDh0IDQ1FoVBgMhVRVJxF82ZZxMbGkpJylIYBP3PmbCBq9WTCwwde9x5quZqX279M/8b9mfrvVM7lnuPVna+y8cJG3ur8Fp52ngiCQNPgNxBFC4mJP3Hq9FQEQY6f3/Ay/QW378TAF15hw5zPiNnyDyo7e3o+PrbWxKEgl+M+ciTO995LzuxpuJmWIxMsaLM1FDe6H3dBSRlLIkaAUgNrnoZjv4JRB48sBIW6vFtISEhI3Ha07jOAqH/+JOtSAvvXruTuJ5+ua5NqhMzM7cQem4TFosXJqTVtIhagUnmWamM2m/n11185d+4cCoWCwYMH316iUKJGUKlUhFW0vnIFkIShDWGxGElJWcP5C3PR661pZu3sGhHUZDI+PoMRBGsxdLPJwr51cURvSQTAq5ET94xriau3lKnqduBKgpkSRLGUO6lVHEbi/nBzNM3dquWeoiiSkJDAoUOHOHnyZEkheo1GQ0REBB06dMDLq3QxeYXCARdnB9q2bUTbtm05fTqXS0lmfH3jyMh8gaijPWjUaBwnT1hrMLVu3ZrAwMBSP3QtPVuy8r6V/BD7AwtiFrD54mYOph7kjU5vMLjJYARBoFnTt0C0kHhpESdPvQWCDL8GD5d5D6HdemLQatn8/dcc/uM31PYOdBk6olr+fSqKwt0dr7dmYvkhEn3SJRK222HZ9CV5a//E5+2pOHTpXPqCsAfgUTtY+QSc3gC/PAYjlpXdXZSQkJC4DZHJ5dw9ahwnd2+n/aAH6tqcGiMl5VcsFi3u7j1o3WoeCoVDqfMWi4X169dz8uRJ5HI5jz32GI0b117YiET9o6ioiI8//pitW7eSnp6O5T9hNPHx8VXq97YVhvPmzWPevHkYDIabN65BdLpkDMZrint6aaHgWMlLldIDtdqbtLQ/iT//JVptAgBqtS9NAifRoMEwZLLSO0NH/r5QIgrDezek29CmyJXSqtLtgnP/xqXEobroInrHwJLXMnsFlnwDmT8dw6GzLy6DgpCp5VW6l06nIzo6msOHD5ORkVFy3M/Pj44dO9KyZcsKF9ENCXkRX9+7uJjwIxkZm8jO3k129m60Wk+Skptz9OhhHB1dad26NeHh4fj6Wne3VXIVE9tMpG+jvrzz7zucyj7Fm7vfZOP5jbzT9R287b1p1mwqImYuXVrKyZNvICCjQYOhZWwI7zsAo07LjiUL+HflUlR2drQbOKRK/zZVxs4V2YSNqExGfDpuI/2LWejPniNhzBicBw3E+7XXUPpes7Pf/B54fJVVFMZtheUPw8iV1iymEhISErc5gRHtCIxoV9dm1ChhYZ/jlNiSRo3GlXmmE0WRv/76i+joaARB4JFHHiE4OLiOLJWoL4wbN46dO3fy5JNP0qBBg2rzkJJiDGsQi0XPv//2xGDMvG4bhcIZlcqL4uI4AJRKDwIDn8PfbyRyefkuZQadifVfHaXdgMYEtfEqt41E/aZU3cKvXiD/pbklrx17+JP/zwUK9yYDIPfQ4P5Ic9SBLjfp9SrJyckcPny4VCF6hUJB69at6dixI35+frdkv1abQELiIlJSVmM2FyOK9kQeGUFx8dXMud7e3nTo0IFOna6mKTdajPwU+xPzY+ZjsphwUjrxv47/48GmDwJw+sy7JCUtBwRahn2Br2/5K8x7Vy9n35pfABjw3Mu0urvfLb2fm5KbAOe2QoexZU6Zc3PJmPM1OStWgMWCYGeH53PP4T5mNLJrRXfCflj+COjzwb8DPLEG7Kq4I2wjcRwS9QhpzEhUlhoaM0adDqVGU+391iaiaCY17Q98fR646QP73r172bRpEwBDhw4l/EZ1ces7NjLP3A4xhq6urmzYsIHu3btXa7+37Y6hLSAIKtSaBhiMWVgL0JfFZMrHZMpHoXCmcaNnaNhwVBkXA5PBzKn9qbTs4YcgCKg0Coa91l7KOHob49y30dWSFF/95zXgOiQYTZg7OavPYs7SkfFdDE49G+LcvzGCovzd4xsVou/YsSPh4eHY2VVPkXg7u0aENJ9GUJOXSE5egSBTcXevJzl79iwxMdEUa1eTltqYlJSrGVhFUcRsMDMhYgJ9GvVh2r/TOJZ1jGl7p7Hx4kbe7fIuIc2nI4pmkpNXcPzEq4CAr2/ZHcGuD4/EoC3myIbf2TR/DiqNhuZd7irTrlrIS4LF90POBevr/4hDuasrvtPewfWRh0mdMRNtZCQZs2aR99tv+Lz9No49LtvVqAuM+h2WDYWkw9Y+n1wHDqXjUCQkJCRuRwqzs9i26Dty01J54qPZyGRV84Spa8xmPcdPTCYjYyPFRecIDn71hu3Dw8OJjo4u+R2WkKgIbm5uuJdXO/kWkYRhDSIIAsFBUzgaXXYX4QoymZpGAU/TqNF4lErnMudzUovY+MNxspIKMRstRPQNKOlb4s5G09QNn8ntyF0fR3FkOgU7L6E7nY3b8BBUflezUl2vEH1YWBgdOnQoKURfEyiVLjRuPKHkdYsWLfD2Tudo9FEaNYrG0TGb3Fx/XFzak5SUxMKFCwkJCSE8PJxFAxax/PRy5kXN49+kf3lo/UNMaT+Fh5u/D6KF5JRVHD/xCoIgx8dncKn7CoJAryfHoS/Wcmz7JjbM+Rylxo4mbao5o2tBKiwZYhWFbk2g+YDrNtW0aEHj5cvIX7+etM8+x3DhAonjx+PYry8+b7yJqqE/+LeDMRtgyQOQGguLBlvFopOUVEpCQuL2RqZQkBAbjb64iBM7t9Gqd/+6NqnSGI15xMRMIDfvEIKgwtHp5klBHB0dGT9+vFSSQqJSzJgxg2nTprF48eIbZoGvLBVyJZ0zZ06FO3zxxRdvyaDqpq63i0VR5NDhhygoOA6UDgxVKj3p3OlP1Ory3UFP7Uth5y+nMRks2Dkp6Tc2jEZhHrVgtYRNUQHXC+2xTHLWnsNSZAS5gEOfAJK8CzgSeYTz58+XtHN1daV9+/bXLURfG+TnxxJ//iuysraXHHN2CqewsBs7dxZwpbyqRqOhZcuWeAZ7Mu/8PKIzowHo7NuZd7tOoyBpHikpaxAEOS1bfoWPd9ksqBaLmQ1zPufMvt0oVGqGvfkeDcNaVc8bKcq0CreMU+DSCMb+Ba4VKxVjLiwkc+48spcuBbMZQa3G45nxeIwbh0ythsyzsHgIFCSDexCMWl/hvgGbcdeRqEdIY0aistTAmDn8x2/sXPYTDq5uPPXV96g01ePFUhvodMkcjX6KoqKzKBROhLeej5tbl3LbRkZGIggCbdu2rWUr6xgbmWfqWhtUB23btiUuLg5RFAkMDESpLB27GhkZWaV+KyQMmzRpUup1RkYGxcXFuLq6ApCbm4u9vT3e3t5VzoJTU9jCh5+VtavcXcM2EQvx8OhZ5rhBZ2LXL2c4fcCamdQ/xI3+T4Xh4CKlsb8jqeBEai40kLAqhuj4Y5yWJ6MVriZeat68OR06dKBp06Y2k/66qOgcCYkLSU1di8WiB0Cp8EGne4nY2EsUFBSUtHVxccG5uzPzz8xHZ9Zhp7Dj5bYvEsFRUlPXIggKWrWag7dX2R07s8nI+i8+JD7yECo7Ox5550N8g5vdmvHF2VbhlhYLTn5WUeje5ObX/Qf92bOkzvyA4gMHAFAGBODz5ps49r4bIfei9R65F8ElwLpz6FHBhAQ28uMrUY+QxoxEZamBMWMyGln8yvPkpqXQZegIuo94slr7rykKC89wNHosen0qapUPbdosxNExpNy2sbGx/PrrrwCMHTv2zso+aiPzjC1og1vlvffeu+H5d999t0r9Vjr5zM8//8w333zDjz/+SEiIddCfPn2a8ePHM2HCBB5//PEqGVJT2MKHX3bXUIaTU0s6dlhbxoUv81IhG384Rm5aMYIAne5vQrt7A5HJJNfRO5abTKRXCtEfOnSIs2fPlhSitxNVhIj+dLy7C369m9us+7HBkMWlpOVcurQUtcqLTp02IIoiFy5cICbmECdOxKFSqZgyZQqXCi8xbe80Ll64SKGykFb+YTzna0dB9mYEQUHrVnPx8irrfmQ06Fn70XQST8SicXJmxLsf4RlQxR9jkx5+GgDJUeDgDWP/Bs+mVX7/oihS8PffpH3yKaa0NAAcevXE9623ULkqrK6qWefA0dcqDr1Db96pjfz4StQjpDEjUVlqaMycPbCX9bM+RKFUMfbL73D2tO0keyZTEXv39cZozMLevilt2yxEoyk/gdvp06dZuXIlFouF9u3bc99999nsb3ONYCPzjC1oA1ul0lsH77zzDl9//XWJKAQICQlh9uzZTJ06tVqNu124Emt41ZXUQnDQlHInA5PBTH6GFgdXNQ9OaUeHQU0kUShRLoWFhezZs4c5c+awfPlyzpw5U+JSMHTQg4z2H0QHQxDipnQyfzqGKU9f1yaXi0rlQVCTF+nebQ+tW89DEARkMhmNGvng7vE5992fwrBh7a3HnBuxoP8C+uT2YVDiIDRH7flobwoFinBE0UTssUlkZG4tcw+lSs2Dr72Db9Pm6AryWfPBO+SmpVbNYIUaWg0De08Yvf6WRCFY5wfnQYMI/msDHuPHg1JJ0c5dxN93P+kLV2N59DfwbgmFqbBoEKRE39L9JCQkJGyZpp260rBFK0xGA3t+WVzX5twUhcKBZs3ewsWlAx3ar7yuKIyPj2fVqlVYLBZat27N4MGD7yxRKFHt5ObmsmDBAt58802ys62l8SIjI0slGKwslRaGKSkpmEymMsfNZjNpl1e7Jcri7t4DY8ZQzq7/HGPmQ7i79yg5J1qubtr6BrkwYHwrRkztiF8z1zqwVMKWSEpKYlGzZiVfclEUuXjxImvWrGHWrFls2bKF3NxcNBoNnTt3ZuLEiYwZM4bwTm3wGReB6/1BoJChP5tL2uwjFEelY6sVauRyNfb2V90xs7N3YzRmk5HxF/Hnx3Ek8jEyMrZQVFiIn5cfAgI+Oh8i0ttyeHtLDp/oS1amN9HRk8jM3F6mf5WdPUPffA/PgMYU5WSzesbbFGRfv5TMDek2CV44BN4tqvp2yyBzcMD7lSkErf8dh7vuQjQayZr/HXHDx5If8ApigzZQnGXNVnrpcLXdV0JCQsKWEASBu0eNAyDx5DH0xUV1bFH5mExXwx0a+D5I+3Y/o1S6lts2ISGBX375BbPZTGhoKA8++KDNhHVI1E9iYmJo3rw5n3zyCZ9//jm5ubkA/Pbbb7z55ptV7rfSo7Jv375MmDChVFDjkSNHeO655+jXr4ZrhdVjtAVGEvYNxKxzJmHvILQF1tpxqefz+OX9A2QlFZa0DWrrhZ1jxYqKS9zeREdHc8HJicjISA4cOMA333zDwoULOXbsGBaLBT8/Px544AGmTJnCwIED8fK66nIjyAQcu/vj82JblA0dEXVmsleeJnv5ScxFxjp8VxXD2/teOnX8A1+fBxEEBbm5B4mJncDxE8MYMEDDCy88w913343KSYVCVKDN9OP48T5cuBBGTOxzZGXtLNOnnaMTw96egatvA/Iz0lgzYyrF+Xk3N8aog01TQXdNW/vqTxMNoG7ShIAfvqfh3K9R+vlhSkkh6X9TSdzbGL19e6sNSx6AC3tq5P4SEhISdY1PUFOGvPo2T82ej9re4eYX1CKiKBIX9wUHDt6HXp9eclwQyi+vkZeXx/LlyzEajQQHB/Pwww8jl9fPUhwStsOUKVMYM2YMZ8+eRXNN3c9Bgwaxa9euKvdb6RjDjIwMRo8ezT///FOSAcdkMjFgwAAWLVqEt7d3lY2pCWzBj1gURf75LpbzMZmIFhBk0CTcE98gV/avi8NiEWnc2oP7JkbUiX0StY8oipjNZkwmU5m/nJwcioqKMJvNbNu2Db2+tAuoQqEgPDycDh06VLgQvWgWKdiRSP7WBLCIyByVuA1thl09yXKr06dyKXEJScm/YDLlAwJdu2zB3j4QURSJjY9l6dalyFPleIRsp51XJghKfLw+JyPDgfDwcDw8rr7X/Ix0fnn3NQqzMvEODOaRaR+gcbhOllaTHlY+AWc3QWAPGP0H1JL7j0WrJeuHBWQtWIBoMIBCjnt7JzwbnkRup4FHl0HTchbkbCSOQ6IeIY0ZicpyB44Zi8XIqdPvkJKyGoDQkA/w93/0hteIosj27du5cOECTzzxBCrVHbzwbyNjxha0wa3i4uJCZGQkwcHBODk5ER0dTVBQEBcvXiQkJKSkPFllqXTRFC8vL/766y/OnDnDqVOnAAgNDaV58+ZVMuBO4NyRdOKPXnVZEy0QfzSz5FjT9t7c/UQFEkpIVCuiKGKxWDAajeUKtCt/Nzp/K9dW1aXTZDIxZEjZou43QpALOPdthCbUneyVpzGlF5O15AT2HXxwvS8Imca26ydp1L40bfoagYETSUlZTbH2Ivb2gYDV7chdHcu0x8axJeUEsw7vRFksp7W9kV27V5GeFsTOnTvx9/cnPDycli1b4uzlzSNTZ7Li3ddJvxDH2k/e5+G33kd5zaobAGYjrHnKKgoVdnD3m7UmCgFkdnZ4vTgJl4ceJO3Djyjcvp3sA7nkHw/Au1UGzj8/hjB8EYQOvmlfEhISEvUR0WLh1N5dNOvUDUUdiiqzuZjYY5PIytoByAgNnYm/34ibXicIAn369MFkMkm1CiWqDbVaTX5+fpnjZ86cKeU9VlmqPEIDA60r9cHBwdJAvwHF+QZ2LD993fPdhgXTpl+jOzYA+Yo4u1WRVdVrbSXeTi6Xo1AoUCqVWCwWiouLy20nk8l48MEHq3wflb8jPpPakrfpAoV7kig+nIb+XC5ujzRHE+xa5X5rC4XCgYCAMaWOabWJnD4zHbAQ6N6DRXe/xVen/kbQbsHXPRG9QU1erj9JSUkkJSXxzz//0LRpU8LDwxn65nusmfk2yadP8PsXH/Dga9NQXKkFZDbBb+Ph1J8gV8Njv0Bg99p+ywCoAgII+PYbCnbsIO3DjzAmJJC8343cOD0+OWOR3/8hJp+uVy/Q6eD48ZKXCjc3lBXcXZaQkJCwJdZ9PpP4IwfpMXIMnR54uE5sMBiyiI4ZT35+NDKZhlat5uDl2fe67fPy8ti5cyf33ntvyQ6h9KwsUZ0MGTKE999/n1WrVgHWBYiEhARef/11hg0bVuV+K+1KWlxczKRJk1i82Jop6syZMwQFBTFp0iT8/f154403qmxMTVCX28X/dSH9L4IATdp4MXBC61q1qzyudWusbYFma+LsikC78v///bvRuaqcl8vlZYLQk5OT+f7778vY+Mwzz1TYffRm6OPzyF5zBnO21d3A8S5/XAY0RlDWr9iH4uILnIv7jIyMTVzJ/OvgEEKupg3nk9fSXG2gSKchvvAB7HIbk5KcAoC7uzuTJk0i5ewp1sx8B4NeR7OOXbl/8hvIBGDdcxCzEmRKePRnaH5P3b3Ja7Do9WQvXETm/PmIOh0gggCI119cEhQygjdtlsShxPWxERcviXpELY2Z4zu38s83s1HZ2fH0Vz9g7+Ja4/e8Fq02iaijo9BqL6BQuNIm4gdcXNpdt31hYSELFy4kKyuLiIgIHnrooVq01saxkXnmdnAlzcvL4+GHH+bw4cMUFBTg5+dHamoqXbt25a+//sLBoWqxuZVevnjzzTeJjo5mx44d3HvvvSXH+/Xrx/Tp021OGNYl2clFpVxI/4soQnxUBlnJhXj4OZaJOatNgVbfxNmtnq+IOLvdUQe54PNSW/I2nKfoYCqFe5LQncnGfXgIqoZOdW1ehbG3DyS89Ty02gQSEheRkrKaoqLTKItOE+boTrpRxF2TQ3PVSv60D+bJ3u+hTdTi5OSEIAj4NW/B4ClvsnzVao5dTMT49RcMDc1DFrMSZAoYvthmRCGATK3G89kJuAy5n7SPP6Fg0ya4yddXNFkw5eRIwlBCQqLeEdajN1H//EFa/Dn+XbWM/uNfqNX7KxQOCIICjcafNhELcXAIvm5brVbL0qVLycrKwtnZmd69e9eipRJ3Ei4uLmzevJl///2X6OhoCgsLadeu3S0nAq20MFy3bh0rV66kS5cupdwfW7ZsSVxc3C0ZU53MmzePefPmYTAY6swGdz8H9OpMVHoPBMqu5ouIGNSZzF/4lc2Ks+oWYDc6fyeKs+vh4OCAo6Mjzs7OtNu/n8guXcjPz6/yCtD1kKkVuA1thibMg5xfz2BK15L+zVGcejfCuU8Agrz+fB52do0IaT6NoCYvk5z8C4mXlmAyFTKk+zZ2R45GrT3JfZo4Pj4ynrubPc3zbZ4vudagtsei0mDx8OVYbjHnDynppO5HeJ9HcLPR+D2lnx8N53xF9vKfSZsxo67NkZCQkKgRBJmMu0eNY+X0N4jduom2A+7Ds1Fgrd1fqXSlbZuFCIIctdrnuu30ej3Lli0jLS0NBwcHRo0ahaura63ZKXFnsWTJEkaMGEH37t3p3v1qmIvBYGDFihWMGjWqSv1W2pXU3t6eY8eOERQUVCoLTnR0ND179iQvrwKp32uRut4uPrz/KPsWpyOI8lLiUEREFExkex5GlJctHfBfcVaT7o2SOLNNTCYTcrkc4YEHEH//HbPZXKMxCuYiI7nrzqGNte5yK/0dcR8RgtLbvsbuWZNYLAYKi87g7NQKs1nH4agxFOYfwizCrzlKkuVNmdF9Jm2822AymYiLi2PP1i0kpqbBNd+BRo0aMWDAAPz9/evw3Vwf7fHjXBh287ibwF/XYNeyZS1YJFEvsREXL4l6RC2PmfWzPuTsgb00Dm/LsLfer9HcDKmp6zGZC2noP7JC7Y1GI8uXL+fChQtoNBrGjh2Lj8/1ReQdi43MM3WtDaoDuVxOSkpKmWoQWVlZeHt7Yzabq9RvpZ8yO3TowIYNG5g0aRJAyRdzwYIFdO3a9UaX3pF06NIGS8EpDv2aXOq4gECL/u60vmt8GYEmiTMJKB2oLghCjQeuyx2UuI8MRRudQc7vcRiTCkmbE4nLgCY4dvdDkNWvBEkymQpnp1YAyOUaQpq9zpEjDyMXYLi7kVTjKWbtGEmrwFFMavsiIcm/EXJvVw6fbsSWtWswunhgdnAmISEBtVpd0m9+fj52dnYl5XokJCQkJGqeniPHEn/kIBdjojh/9DBBbTvWyH0uJizg3LmPAAEnx9AbxhNe4ffff+fChQuoVCqeeOIJSRRK1DiiKJa7OHLp0iVcXFyq3G+lnzQ//PBDBg4cyIkTJzCZTHz11VecOHGCvXv3snNn2YLSEuAf5sSeP6+6lF5xIW3RJdTm6j5K3NkIgoB9G2/UTVzI/vUs+jM55G2IR3cyC7eHm6Nw19y8ExvF1aUtHTv8TnTMOAyGDHyVIqM99WTnLuCfXxdx/9lUFP+q6TDpCKLRwK7lC7EolDS/90E8PT1L+vnnn3+Ii4sjLCyM8PBwGjduLC3kSEhISNQwrr4NaDtwCEknj2Pv7Frt/YuihXPnPiYh8UcAAhqOxtm5TYWu7dq1KwkJCQwdOrTe7kBJ1A/atm2LIAgIgkDfvn1LbRqYzWbOnz9fKgdMZam0MLzrrrs4evQoH3/8Ma1bt2bTpk20a9eOffv20bp13WfXtEUcHR2xNEhGSHQDkwxBYcHSIKXa48UkJKoLuYsaz7EtKTqYSt6f8ejj80j7KhLX+4Owb+9Tb8urODu3olvXbURGPkl+wVEA3BUieBvJTVcQ5d2N7vbudBwyDIO2mP2/reTcn6s50TiAsJ59sFgspKWlodfriYqKIioqCmdnZ1q3bk14eLhNrxKb1rwKXrPBW6qZKiEhUT/pPuJJ5ApFtf8GWSwGTpx8jbS0PwBoGvw6jRqNr/B9/P39efHFF6WSFBI1zpWSZUePHmXAgAE4OjqWnFOpVAQGBtZuuYr6hq34EZtMJs4fzWLPdwe5a0InmrTxkCYQiYpRxz75pkwt2avPYLhoLaSqaeGO29BmyJ3qrtDwrWIyFXE0eiyOx/fgVGwi013F9hQZP7q64O/oz9RWg2jt24sjv+0n6p8/EGQy7p/8Bs06dcNisZCQkEBMTAzHjx9Hr9eX9NuqVSsefrh262xVNMZQrjYTcHcOdv0eh7vfBCfbFbESdYCNxP5I1CNukzFjMhUQE/s8OTl7EQQFLVp8QgPfB294jSiKbNu2jZCQEGmHsDLYyJixFW1wKyxevJgRI0ag0VSvJ1eV/J/i4uKYOnUqI0eOJD09HYC///6b49cUVJYojUKhoFkHH8am/UCzDj6SKJSoNyg87fCaEI7LwECQC+hOZpM2+wjFsdcvxWLrKBQOtDX1IjS+CP9UPS7FCjre/yl+Dn6kF10iK+ErDh8ZimPrzbQaHIQomtnw1adciI5EJpMRGBjIkCFDePXVVxk+fDihoaHI5fJSNSZ1Oh2RkZHodLqafS9ubgiKm0/lZr2ci1vcyV/3C8xpCzs/BUNRjdomISEhURMYtMXsWbGEPSuW3nJf6ekbycnZi1xuT0T4gpuKQoBt27axe/duli5dSlGRNI9K1D6jR49Gp9OxYMEC3nzzTbKzswGIjIwkKSmpyv1WWp3s3LmTgQMH0r17d3bt2sXMmTPx9vYmOjqaH3/8kTVr1lTZGAkJCdtEkAk49QpAE+JO9srTGFOKyF5+El1bb1yHBCOzq2cLHXHbkP/9FgApwYHE+RWgTPqcpf1+YOHJXzmZuYp29mYK8qNQNIwifLQzSQftWD97BsPe+AD/0DAAlEolYWFhhIWFodVqS7kdnTx5kvXr17NhwwZCQkIIDw+nadOm1b4opPTzI3jTZkw5OVcPTp4Ms2eXvBRUKtI//Yyi3btJ+tcdQ34+HoYPEA7/BL3fhjYjQSavVrskJCQkaork0yc5sHYVMrmCVnf3w9W3QZX7atBgGDpdEp6efXB2vnlI1O7du9m9ezdgreEthQVJ1AUxMTH069cPFxcXLly4wPjx43F3d+e3334jISGBJUuWVKnfSu8YvvHGG8ycOZPNmzejUl11JevTpw/79++vkhESEhL1A6WvA94T2+DUOwAEKI5KJ232EXRnc25+sS0R2ANaDYMuz+P16G6cnSMwGnM4FfsME1s/Sd+Oy1mQH8SWfAXFFpCp8wnokUbI8ONsXv4yafHnynRpZ2dXyqVDqVTi5eWF2WzmxIkTrFixgi+++II//viDixcvYrFYqu3tKP38sGvZ8uqfRlPqtaZZMwK+/Qa3UU8CkBHrTEqUP5bcFFj/AszvAee2Vps9EhISEjVJYJv2BEa0w2I2sWv5wkpfn19wDJOpALAmXQsKeqlCovDAgQNs3WqdK/v370/HjjWTGVVC4mZMnjyZMWPGcPbs2VLPHoMGDWLXrl1V7rfSwjA2NpaHHnqozHFvb28yM+uva5mEhETFEBQyXAYE4vVsBApPO8z5BjJ/PEbO7+ewGKpWN6fWkSth6A8w4EMUSmfatFmMk1MrjMZsIqOeoIWTK4vu+x1Xv6d4L9meX3OU5JgUKDRmCtNFfv1wGlmXErFYytYgvUKrVq14/vnnmTBhAl27dsXR0RGtVsuRI0dYuHAhBQUFtfiGQVAo8H3rLXynvwtyOXlnRBKi2mESXSD9OCwbCksfgtRjtWqXhISERFXo9eTTCIKMswf3kngitsLXZWZu58iRR4mNnYjFYqjwdVFRUfz9998A9OzZs1RRcQmJ2ubw4cNMmDChzHF/f39SU1Or3G+lhaGrqyspKSlljkdFRdlsAWgJCYnqR93YGe8X2+LQ1erCU7QvhfSvItFfTlJjc5z6Cza8Ald26mRyuOz6qVQ607bNYpwcW2I0ZhMV9QSiIYXXO73OD/cuIVHWjPdTlHyTrKFQ6YK2IJ81H0wlOupFoo6OIStrN+Xl8RIEgQYNGjBgwACmTJnCqFGjaNOmDSEhIaXqDP3999/s27evVsSi26OP0uiH75E5O6M9l8qF3U3RNX4SZEqI2wbz74LfJ0J+8s07k6i36HTJ5Bccu/rnpS31Wqcr+zsvIWFLeAY0JrzfAAB2LFmAWAEvjOTk1cTETsBi0YIgQxRNFbpXfHw86y8nTenSpQu9e/euuuESEtWAWq0mP7/s89aZM2fw8vKqcr+VDnZ59NFHef3111m9ejWCIGCxWPj333959dVXGTVqVJUNkZCQqH/IVHLcHmiKXZgHOavPYMrSkTE/GqdeATj3a1ShpCi1wtktsHo0mA3g2xrajynTRKl0pW3bxURGPUlh4Ukiox6nXdufaevdltX3r+ab6G9YfHwxFyPOMviAH/LCdDKzzyGTW8jO3o2DQ3MaBTyNr+/9yGTqMv3LZDKCgoIICgoqJSILCgo4ePAgoiiyadMmgoKCCA8PJzQ0FLW6bD/VgUO3bgSuWEHic89ivJjAxbn5+L83D0ft33B8LUQtg9hfodsk6P4iqJ1qxA6JusFi0XPo0EMYjNd4+TwOHHqg5KVK5Un3brvKHcsSErZCt0ce5+SenaSfj+PE7u207NW33HaiKHLhwjziz1tjr319H6JF6EfIZMoK3ScgIICmTZvi5OTEgAED6m3JJonbhyFDhvD++++zatUqwLoQnZCQwOuvv35L5Soq/dT24YcfEhoaSkBAAIWFhYSFhdGzZ0+6devG1KlTq2yIhIRE/UXTzA2fl9th39YbRCjYkUj6vKMYUmwgW1v8Dlj5uFUUhj0AbZ64blOl0o22bZbg6BCCwZBBZNTjFBefR6PQMKX9FJYNXEZDryb83TGFHIWFUyubkB8fgExmR1HRGU6eep1/9/bk/Pm5GI3Xj7u89qFCqVQycOBAGjZsiCiKxMXFsXbtWj777DPWrFlDYmJidf5rlKAOakLgihXYd+qEpaiIxNfeJ7u4N+JTmyCgM5i0sOtTmNMODi8Ec8VW1iVsH0FQodY0AK73cCugVjdAEOpvSRqJOwN7F1c6PzQcgP2/rih311AUzZw+826JKGzc+DnCWnxWYVEI1nl6xIgR3HfffZIolLAJvvjiCwoLC/H29kar1dKrV6+SxYsPPvigyv1WuY5hQkICx44do7CwkLZt29KsWbMqG1GT2FytEhup4SJRj6hnY6Y4NpPctWexFJtALuDcvzFOPRsiyOrgx/TiXlg2DIzFEDIIhi+xxhfeBIMhi8ioJygqOoNa7Uu7tsuxtw+0njMbmB89n1UHF3PPXi8c9ArsG7vRf3wnUtNXoNdbffubBr9G48Zl/f9vRHZ2NrGxscTExJCVlQXAfffdR4cOHQAwm83IZLKbP5hUYsyIBgOpM2aQu9qaUdp1+HB8p76NcO4f2PIuZMdbG3qGwD0zoNk9JS64EvWXrKxdHI0ee93zbSIW4uHRsxYtkqh32Mhvk8loZPfPi2g/+EGcPcu60J06PY2kpOWAQPPm0whoWDHvtsTERM6ePUvv3r0lMVhd2MiYsTltcAvs2bOHmJgYCgsLadeuHf369bul/m6pwP2VS235C2NzH76NfCkk6hH1cMyYCwzk/HYW3UlrXR1VY2fchzdH4WFXe0YkHoKlD4KhEJr2g0d/BkXF3eIMhszL4vAsarUv7dv9gp1do5LzJ7NO8uFfbxO6SYvGIEfnq2Hsu58jM0STlPQL4eHfoVRa4whzcw8jihZcXTtWaL4URZHk5GRiYmLo1asX9vb2gDUj3oEDBwgPD6d169Z4eHiUuTYpKYnNs2bRf8qUCsd9i6JI9qLFpH/6KYgi9l260PCrL5E72MHhn2DnJ6C1fpY06Qn9Z4Bfmwr1LWGbWCwWDh4aTFHRWeDaxwABtcqbJkGT0WgaoFb7oFb5oFA42fRvvUQdUE9+mwoKTxEVNYqQkPfw8R5YoWtSUlJYvHgxOp2OQYMG0alTpxq28g7BRsaMzWkDG6JKwvDHH39k9uzZnD17FoBmzZrx8ssvM27cuGo3sKrMmzePefPmYTAYiIuLs50P30a+FBL1iHo6ZkRRpPhIGrl/xCPqzQgqGS6DgnDo7FvzD5j6AvgqAoqzrEJm5CpQVl6U6g2ZREaOpLg4Do3aj3btfsHO7uo8YjQb+X7LF+Qv2YXKJCPV28hdLzzLkOYPlrxHURQ5fGQY+fnRODm1plGjp/H2GohMVvl6hgsXLuTixYslrxs2bEh4eDgtW7YsqaX1119/cfDgQTp37szAgRV7CLpCwfbtJL/yKpbiYlSBgQTM/xZVYCBoc2HPLNg/H8x6a+PwR6HvO+BiA/OqRIUQRQv5+dFkZGwiI3MzxcXnK3ytTGaHWu2NWu17+b9WwahWX/1TqbyRy6WYxDsGG/1tyklJwsXHp9QcazYXI5fbV+j6jIwMFi5cSHFxMQEBATz55JOlyrNJ3AI2MmbqqzCcM2dOhdu++OKLVbpHpYXhtGnTmDVrFpMmTaJr164A7Nu3j7lz5zJ58mTef//9KhlSU9jch28jXwqJekQ9HzOmbB3Zq89gOJ8HgLq5G+7DmiF3qeEHyFMb4OD31p1CVdULEOv16URGjbTGGmr8adf2F+zsSu/E7T+0kV2zv0Zuhgu+RZgHhzKt+7v4Ovhiseg5feZ9UlPXYrFYRZVG7UdAwBj8/IajUFQ8sYter+fUqVPExMQQHx9fymujcePG9O/fn59//pmioiIcHBx4/PHHAbC3t8fV1bVC99CdPk3ic89hSk5B5uJCw6++xKFLF+vJ3ATYOgNircHuKDTQ5Tm4azJoXK7fqUSdYbEYyMnZf1kMbsFgyLjmrBK5XIPZXIh111BApfLE3b0nBkM6en0qen06JlNehe+nVLqhVlmFo0pdWjhaj/uiUrkjCPLqfqsStY2N/TZZLGY2zPmchNNbCH9MR+vw2bi6dqhUHzk5Ofz0008UFBTQoEEDRo8eXapGnMQtYiNjxua0QQVp0qRJhdoJgkB8fHyV7lFpYejl5cWcOXN47LHHSh3/5ZdfmDRpks3VMrS5D99GvhQS9YjbYMyIFpHCvcnk/XMBTBYEjQK3B4Oxi/Cq3t1DUSwd//bf11VEr0/jSORItNoLaDQBtG/3MxqNX6k2cUcPse7TGWC2cNa/kOj2el7t+CpDmw1FEAQMhiwuJf3MpUtLMBqtbplyuSNNm75OQ/+RlbapoKCAY8eOERMTU24Jof8yffr0Cvdtyszk0sQX0EZHg0KB7zvv4DZi+NUGSZGw6R24uMf62t4D7n7Tmu21AjGcEjWLyVRIVtZOMjI2kZm147LwsyKXO+LpcTdeXv3x8OhFXl5UqVjD8mILzWYten06en0aekMaen0aBn06On0qhmuOX1n4uBmCIEel8rpGMF4Rj5eFo9objdoXudxRcl+1ZWzwt+nvn15B3mA9crUFF5f2tG+3ssJjKD8/n4ULF5KTk4OXlxdjxowp8cSQqCZsZMzYnDawISrty2Q0GksSIVxL+/btMZmkrHUSEhJlEWQCTnf5o2nuRvaq0xgvFZK94jR2J7JwfaApcodqEBNZcbDuORj6PbgFXr5x9TxUqtU+tGu3nMjIx9BqE4iMfJx27X5Go2lQ0ia4TUeGvPwGf8z+mGZJjhiVFqYbp/PPhX+Y3m06/o7+BDWZRONGz5Cato6EhJ8oLj6HSnk1TlAULQhCxZJFOzk50bVrV7p27cqePXvYunVrubUUZTIZDz74YKXer8LTk0ZLFpPy9lTy//yT1HffxRAfj/dr/0OQy8G/HYz5E07/DZunQdZZ+OtVODAf+r0HoYOlBDW1jN6QSWbGFjIyN5OdvRdRvFq4W6XywsuzH15e/XFz61KqBIW7ew+cnFpTUBCLk1Nr3N17lOlbLrfD3r4x9vaNr3t/URQxmfKsIlGfdllIpqI3pF9zLA2DIRNRNF/ejbxxEWar++q1u46XXVkv70heOSaV1JAASE//B3WTvxBFC4UpdvjZP11hUWgymVi6dCk5OTm4ubnx5JNPSqJQot5QnTlfKr1jOGnSJJRKJbNmzSp1/NVXX0Wr1TJv3rxbNqo6sblVARtZLZGoR9xmY0Y0WyjYnkj+tgSwgMxJiduw5tiFule905wLsHAQ5CdZs2Y+vrra7L0WnS6ZyMjH0eoSsLNrbBWHat9SbY7v3Mo/31jToh9rVsjhZlnYK+yZ3H4yw0OGI7ss/ETRQnb2v7i7dytxq7tw4RuysnbRqNHTeHr2rbBIBEhOTub7778vc/yZZ57Bz8+vnCtujiiKZM2fT8ZX1rgGx1698Pvic+SOjlcbmY0QuRi2fwTFlz1GGnWDe2ZCw/ZVuq9ExSguvkBG5mYyMjaTlxfJtUlk7OwC8fa6By+v/jg7t7nhWMrO/pfTW8cR0ncB7u7da9Rmi8WEwZh5eacx9aqA/M+OpMlUtnDz9VAq3Uq7qqq9/+PC6oNK5VGp75NEBbCh36bES0s5c+Y9QESmb0HUUgvOnn6M+eJbFMqKLTxGR0ezbds2xowZg5ubW80afKdiI2PG5rRBFamJnC+Vz35w2ZBNmzbR5XLcyYEDB0hISGDUqFFMmTKlpN1/xaOEhISEIJfh3K8xmlB3sledxpSuJWvRcRw6+eIyuAkydSWnpdxEWHy/VRR6hsAD39SM4YBG40e7dss5EvkYWu1FoqKeoF3bn1GrvUvatOzVF4NOy7af5tPqrCMeLt5s9D7JBwc+YNPFTbzX9T0CnAMQBBkeHld3Z0TRQlLyCnS6JHJjD2FnF0ijgLE0aDAMubwWs7legyAIeD73HKomTUh+/Q0Kd+7k4mMjafjtt6gaXo6zlCuh4zhoPRz+/Qr2zYWEvbCgD7QaBn2nXd3BlbglRFGkoOBYiRgsKjpT6ryTU2u8vPrj5XUPDvZNK7x67O7ena5Lm8EjNSsKAWQyBRq17+UFlfDrtrO6r17dabQKxtIi0mBIw2IxYDTmYDTmUMip6/YnCApUKs8bJs9Rq30k99V6hiiKxMd/wYWL3wLg7/cYTRq/wenfnycvLZWof/6g4/1DK9RXREQEYWFhKCsoJCUk6pLr5XyZPHkyCQkJVc75Uukdw969e1esY0Fg27ZtVTKqOrG5VQEbWS2RqEfcxmNGNJrJ23iRwn+TQAS5uwb3h5ujDqpgIpP8FFg0yFprzz0Ixv4NTr43v+4W0WovERn5GDp9Mvb2QZfFYen6WQfWrWbPL4sBcL6vIz/INqA1abFT2PFi2xcZ2WJkye7hFXT6VC5dWkpS0s8lOyYKhSsN/UfSsOGoMve4lry8PH744QecnZ3xiokh2tMTuLUdw1LvOTaWS89PxJSRgdzdnYZz52Lfrm05hiTBtpkQ/QvWD1UFnSdAj1fATlqFrywWi4ncvEPW5DEZm9Hrr8aTCoIcV9fOVjHo2a9M3GulqIfzjNV9Nfc/grF899XSJTmuj1xuj0rlXUYwXrsjqVZ7Se6rYBNjRhQtHDv+EunpfxHU5GUCA19AEASO7djCxm+/RGVnz9NzfsDeuexvitFoZOPGjfTq1Qsnp4onAZO4BWxgzIANaoMqUFM5X26pjmF9wOY+fBv5UkjUI+6AMaOLyyVn9RnMuXoQwPEuf1zuCURQ3sD1qzDDKgozz4BrI6sorMXSCVptIkciH0OvT8Hevint2i1HrfIs1Wb3z4s4+PsaEAQ6jxvDQvNfHEw9CEBb77a81+09mriUzTJmMhWRkvoriQkL0eoSAGjgO5SwsM9uaJPJZEIulyM+8AAL7ruP5ORkIiIieOihh6rlPRtTU0l8/nn0J04iKJU0+PADXO6/v/zGKTGwaSqc32l9becGPV+z7i4qpNTvN8Js1pKdvZv0jE1kZm7HZMotOSeT2eHh0RMvz/54evZGqXStnpvexvOMxWLCYMi4LBiv2XEs2Y20HjeZCircp1LpXmbn8UrSHNWVJDpK99vbfdVGxozZrCc7ezdeXlcLe4sWC8venExxXg73T3kTv+Yt/nONmZUrV3LmzBl8fX155plnkMlu48/KVrCRMWNz2qAKuLq6cujQIZo1a1bq+JkzZ+jUqRO5ublV6veWheHFixcpKioiNDTUJr9UNvfh28iXQqIecYeMGYvORO6f8RQfTgNA4W2P+4gQVP6O5V+weiwc/w2cG8LYDXXirlhcfJHIqJHo9ak4ODSjXdtlqK4Rh6IosvWn+URv2oAgk3H/lDeIcr7EF4e/oNhUjFquZmKbiYwKG4VcVjZ9vyiaycjcQkLCj4Q0n46TU9jl+55Hq03E3b0HgiCg0yVjuJzpFICXJ5Px1pv8tnYtAMOGjiEoqHri/SzFxSS//joFm7cA4PHsBLxefBGhvPlfFOHcFmsG04yT1mNuTaDfdAh7QEpQcw1GYw6ZmdtIz9hEdvYeLBZdyTml0g1Pz754efbH3f0u5PIaSJ9/h8wzN8JsLr4mcc7VeMfSCXXSSiX2uRFW91WvUoly1KprXFkv/1WmZI1NUUdj5kqG5yaBE28ovHNTU3BwdUP5n3ITFouF3377jWPHjqFQKHj88ccrXAZA4haxkXnG5rRBFaipnC8VFoY//fQTubm5pWIIn3nmGX788UcAQkJC2LhxIwEBAVUypKawuQ/fRr4UEvWIO2zMaE9kkfPbWSyFRpAJOPdthNPdAQjy/4iIokxY+ywM/AQ8guvGWKwJQCIjR6I3pOHoEELbtstQqa4m0hEtFv75ZjYndm9HrlDw0BvTUTXxYfq+6exN3gtAa8/WzOg+g2DXir2PEydfJyVlDQ4OzWnoP5r487MwGrOu295kcqBvnwMoFNUTqyhaLGR8+RVZl5PdOA0YgN/HHyGzu07/ZhMcXQ7bP4BCq/CnYSdrgppGnavFpvqIVptE5uV4wdy8Q4iiueScRuOPl9c9eHn2x8Wlfali3TXCHTbPVJUr7qu6a3ccy8RCpmEwZFFx91WHy6Lxqli8sut4VUx6IZPZ2E57HYwZrTaBqKNj0WovEBj4AsFBkyt1vSiK/PHHH0RGRiKTyXj00Udp3rx5DVkrUQYbmWdsThtUgUmTJrFkyRICAgLKzflybaxsZXK+VFgYdunShQkTJjB2rLXe0T///MP999/PokWLaNGiBS+88AJhYWEsWLCgMu+rxrG5D99GvhQS9Yg7cMyYi4zkrj2L9phV7CgDnHAf3hylhxrK2Vmra4qLz3MkciQGQzqOjqG0a7sMpfJqPJ3FbOaP2R9z7tA+lGoND0+dQYNmoaw7t47PDn1GgbEApUzJcxHPMabVGJSyGyc/OHfuUy4lLcNsLgKsOxOiWH65IFEEs7khvXpurPZCzblr15EybRoYjWhatqThN9+g9PG+/gX6Qtj7NeydA8Zi67GwB6Dvu3Uq7msLURQpKjpTEi9YUHi81HlHx1C8PK2ZRB0dW9RuEpQ7cJ6pSSwWo9V99Ya7j6mlakzeDKv76n/jHa/9rw/KGnRfLc8zgS9nl7xUKT1KlfCpbvILjhEd/TQGQyYajT9tIhbh4BB00+tEi4UTu7fj6O7ByaRU9u/fjyAIPPzww7Rs2bLG7JUoBxuZZ2xOG1SBmsr5UmFh6OHhwY4dO2jdujUAzz33HBkZGaxZswaAHTt2MHbsWM6fP1/hm9cGNvfh28iXQqIecYeOGVEU0R7NIOf3c4g6M4LCgI/nh8jvehKhw5i6Nq8MRUVxREaNxGDIxNExjHZtl5aK/zIZjaz79H0uxkShdnBg+LSP8A4MIq0ojff3v8+uS7sAaOHeghndZxDiHnLD+xmN+SQnryDx0uKb1oMrr2h5dVF85AiXXpiEOScHhbc3Db/9BrubPWzlp8CODyFqGYgWkF3ObNrrNbC/hbIlNogomsnLi7KKwczNaLUJ15yV4erS3roz6NUPO7tGdWbnnTrP1DUmUxGG/yTLuTbu0Sog0yvhvqpErfJCdcPajz4oFNdx0b8OFouef//ticF4/YQWKpUn3bvtqpHEPFnZe4iNfR6zuQhHxxa0ifgRtdqnQtce+uM3di37CUWTEHI0VrfdBx98kDZt2lS7nRI3wUbmGZvTBjZEhYWhvb09J0+epHFja4HbiIgInn76aV588UUAEhISCAkJQavVVvjmu3bt4rPPPuPIkSOkpKSwdu3aUoWYx4wZw+LFi0tdM2DAAP75558K38PmPnwb+VJI1CPu8DFjytOTsyoWp4TJaOQxWARHLM8cQtHg1jNtVjdFRec4EjkSozELJ6eWtG2zFKXyajY8o07Hmg/eIfnMSexdXBkx/WPc/RoiiiJ/xv/Jxwc/Jt+Qj0JQMD58PONbj0cpv/HuocViJC3tL06dfqtUXJoVGU5OLenYYW2N7j4ZEhNJfO45DOfiEDQa/D79BOd77rn5hWknYPM0OLfZ+lrtAj1fhU7PgLIG4uhqCbNZT07O3sticGspN1+ZTIW7e4+S5DGq/yQsqjPu8HnGlhFFEaMx5z87j1bhaLhmR7Ly7qv/3Xn0QaX2QaP2QaXyKeW+Kooihw4/REHBsevcQ8DJqVWNzDWpqb9z4uRriKIJN7euhLf+tlJxmbrCQn58aTzFOh1CeGd69u5Dp06dqtVGiQpiI/OMzWkDG6LCQQuNGzfmyJEjNG7cmMzMTI4fP0737ldrHqWmpuLiUsEU85cpKioiIiKCp556iqFDy68zc++997Jw4cKS12q1lCJaQuJOQuEAnpoPEeQxWEQ7MvXvYZx/AdchcuzbedtUzTEHh6a0a7uMyKjHKSg4TtTR0bRtswSl0hkApUbDQ2+8y+r33yb9QhyrZ07lsfc+xdnLm/uD76erX1dm7p/J1oStfBv9LVsStjCj+wxaelx/B04mU9KgwQMola5Exzz1n7MWgoOmIAgCubm5bN68mZ49e+LjU7GV9oqiCggg8JdfSJryCkW7d5P04ksYXn4ZjwnP3Pjz8QmDJ9ZA3DbYNA3SYmHzO3DwB+j3LrQcCjaY1Kw8TKYCMjO3k5G5maysnSVuvgAKhROeHn3w8roHd/ceKBQOdWipRH1DEARUKndUKnecaHHddlfdV8uPe7zi1mo2F2I2F1FcHE9xcfwN7211X7UKR6t7/PWEp1gy11QnOn0qJ0+9gSia8PG+j7CwTyu9I6lxdKTrwyPZvug7NGdjiZg0qVptlJCoC3Q6HV9//TXbt28nPT0di8VS6nxkZGSV+q2wMBw9ejQTJ07k+PHjbNu2jdDQUNq3v5rlbu/evbRq1apSNx84cCADBw68YRu1Wo2vb83XJZOQkLBBTAZYNRohbiso7bHc/zPscUNMKCBn9Rm0x7NwG9oUuaPtJGVwdGx+WRw+QUFBLEejx9C2zeKSFW6NgyPD3n6fle++TnbyJVbPfJtH3/sUB1c3PO08mX33bDZe3MiH+z/kbM5ZHt/wOGNbjeXZiGdRy6//QOTh0RMnp9YUFBwHLIAMB4dmuLv3AGDLli0cP36c4uJiRo0aVe0PcHInJwK+/Ya0Tz4lZ+lSMr78EsP5eHxnzECmusnnE9wHJvSCmJWwdQbkJcCvT8O+edYENYE1X3i9Kuj1aWRkbiUjYxM5OfsRRWPJObXKB0+v/nh73YOraydkN4kblZC4VWQyJRqN303rWZpMhVaReCVRjj7tcjKda+tApiOKRozGbIzGbAoLT9ywT6XSA70+nYLCUzjYB1fbeNeofQlr8Tn5+dE0bfpGpeMno6OjkcvlRPQfSPSmDWQnX2L/byvp9cR/F9EkJOoXTz/9NJs2beLhhx+mU6dO1fabXmFXUovFwvTp0/njjz/w9fVl1qxZtGhxdeXqkUce4d577+Xpp5+umiGCUK4r6bp161CpVLi5udGnTx9mzpyJh4fHdfvR6/Xo9fqS10lJSYSFhdnOdrGNbKNL1CPu1DFjNsGasXByPSg0MHIVBPVCtIgU7LpE/uaLYBaROShxe6gpdq1sxCXvMgUFJ4mMegKTKRdn57a0bbOwlPtTQVYmK959nfyMNDwDGjN8+sfYOV49n63L5qMDH/HPBavrfJBLEDO6zyDcK/y698zK2sXR6LElr9VqP7p13YZMpiQnJ4d58+ZhMpl45JFHajTpQs6KFaTOmAlmM3bt2tFw7tco3CsYO2gohv3zYM+XYLicmCNkMPR/Dzyb3fDS2qCoKJ6MzM1kZGwiP/9oqXP29k3xuiwGnZxa1a8adnfqPCNRLqJoueq+ek3cY15eFNnZu254rUymwsGhOU6OYTg5tcTJKQxHx1DkcvsK3dti0aPXZ2Bnd2vPbCdOnGD16tUAPPXUUxgzUln7yXvIFQrGzJqPq4+06VDr2Mg8czu4krq4uPDXX3+V8t6sDmymwH15wnDFihXY29vTpEkT4uLieOutt3B0dGTfvn3I5eVnJpw+fTrvvfdemeOJ/frR8Hqp1GuTgwdB8m2XqAx36phxS4cmJ8EiQHwryC8tLAxqL3L8B2PUeAFgn3sM19RtyCz68nqrEwq8tEQOu4hJY8Yl2Y42axujMF6du3IFkRVqkSIBfC3wiF5ARelVv61+Rcxom0WWxoxMhCfPOvPCcTc0lrKiQ0Tk0KPxFPjqwAzIoekuHxpHWkXz9gYN2NmgAS56PRNPnEBVg9N/UVExl1JSsFgsKBUKGvr7oalMKIDCAA0ugmcyCFg92DL9IKUxmGpvh1hEJN9HS0ZwARlN8yl2L50ExDnFDq84J7zinHHIqcehDnfqPCNRKUrmGG8dyAALaAqUeMQ7UuSlp8BLh1ltKXuhBexzVTil2+GUocEpXYNThgalrrTjmkllJua+RIpdDXRY1QRNYdV2Hs86O/NLUBAWmYw2mZkMSUhAQORXlchFOTQ3w/2GerRwc7tgI/PMJa2WgC1b6rUwDAsLY8WKFYSHX3+xuCrYtDD8L/Hx8QQHB7Nlyxb69u1bbhtpx1DituNOHTOiCDs/Bd/WEDqo/CYmC/mbL1Kw6xKIIHdR4fZwczTN3MptXxfkFxwjKupJTKZ8XFw60Cbip1IxZpmJF1k5/Q10hQUEhLXmoTeno1SVFhh5+jw+OfgJf8T/AUBj58a83+192vm0K3O/7Ox/Ob11HJ5tRpGQuAC53J4unTei0fhhMBiYN28eeXl59OrVq8LprquKPj6exGefw5iQgMzBAf/Zs3DsWcnsqBmnYfO7cOZv62uVE/SYDF2eB2XNLPZZLEZycg+QkbGZzMwtpbK+CoISN7cul2sM9q1wZkSb506dZyQqzX89E67NeiyKFrTaBAoKT1BQcILCguMUFJ7AYCg/m6la3cC6q+gYhkbjT0LiAoqKziKXOxARvgA3t8qLiAsXLrBs2TJMJhMtW7Zk2LBhyC7HKmckXGDzD3Pp9cTT+IdcP15TooawkXnmdtgx/Pvvv5kzZw7z588vSQxaHdQrYQjg5eXFzJkzmTBhQoX6tbkP30a+FBL1iDtpzIgimA2gqNzOi/5CHtmrz2DOsmbldOzmh/O9gchUtlHzMD8/hqijozCZCnB17USbiB9LuVWlxp1l9Yy3MGi1BLXryJBX3kKuKLtSvjNxJ+/ve590bToCAiNbjOTFti9ir/yPi9aQIYi/r+NI5GPk5R3Gy2sA4a2/AeD48eOsXr0ahULBxIkTcXOrWRFtyskh6aWXKT54EGQyfN54Hbcnn6x8PMT53bBpKqQctb529oc+70D4iGpJUGMyFZGVvYvMjM1kZm3DZCooOSeXO+Dh0askk2hlMiLWG+6keUbilriaoTQWJ6fWFcpEqtenU3BZJFoF4wm0uoTrtBZwdgrH1a1TiTuqvX0ggnDz+TwpKYnFixdjMBho3rw5I0aMKONhJoqiTSUtu6OwkXnG5rRBFcjIyGD48OHs2rULe3v7UgXtAbKzs69z5Y2pV8Lw0qVLNGrUiHXr1jFkyJAK9WtzH76NfCkk6hF3ypgRRfjnTUg/AY/9AqrKZW606M3k/X2eov0pACg87XAb3hx1I+easLbS5OVHExU1CrO5EDfXLkRELEAuv7rjdenEMX79cBomo4GQrj0Y9OKryGRlH4TyDfl8cfgLfjv7GwD+jv683+19OjWwrqzvS97Hx79O5I1h82jt7M7BQ/cjimYiwhfg6dkbURRZsmQJ58+fp127dhWeS28F0WAg5f33yVvzKwCuI0bgO/VtBGUl3cQsFji2Bra+D3mJ1mO+4XDPDAi6u9J2GQxZZGZuJSNjM9k5e7BYrrqJKpUeeHn1w8uzP25u3ZDfIPHPbcGdMs9IVAtXPBNC+i7A3b1qMU4mUwEFBSfIyNzMpUvLb1irUSazw8kxFMfLMYtOjmE4OjYvlaE0NzeX+fPno9PpaNKkCSNHjizzsPxfzCYTckWF8zBK3Co2Ms/YnDaoAv369SMhIYGnn34aHx+fMosdo0ePrlK/dSoMCwsLOXfuHABt27Zl1qxZ9O7dG3d3d9zd3XnvvfcYNmwYvr6+xMXF8dprr1FQUEBsbGyFy1bY3IdvI18KiXrEnTBmRBG2vAv/fmV9/dgKCLlxxuLroTuTQ/aaM1jyDSCAU+8AnPs0QlDUfTxJXl4UUUfHYDYX4u7WnfDw75HLr9brO3/0COs+nYHFbKJV73u4Z8Kk665s703ay/R900kpsgrh4c2HM7n9ZMZtGsfxrOO09GjJL4N/4VzcxyQkLECjCaBL53+QyzWkp6cTGxtLjx49UN0sY2g1IYoi2QsXkf7ZZyCK2HftQsMvv0ReyTJHABh1cGA+7P4C9PnWY83ugf7vg/eN3cO02gQyMjaTkbGZ3LwjWDO4WrGza3TZRbQ/Li5tK7RDcdtwJ8wzEtVLNYyZnNxDHD06BotFh7NTOK1azcNozKSg4MTl3cXjFBaeKqdGKwiCAgeHplaR6BSGo0MY+/enkZyczpNPPnnD50SjXseBtas5s383T34yB6W6/tZNrVfYyDxjc9qgCtjb27Nv3z4iIiKqtd86FYY7duwoN8Zl9OjRfPvttzz44INERUWRm5uLn58f99xzDzNmzKhUDS6b+/Bt5EshUY+4E8bM9g9h5yfW/x88CzpWLbvxFSzFRnLWx6E9mgGA0s8B9+EhKH3rvn5cbt4Rjh4di9lchLt7D8Jbf1dqN+rM/j38+eWniKKF9oMfoNeT464rDgsNhcw+MptVZ1YB4K52J1t/1X1kfr/5dPZpw/4D1iyZLUI/RKW6flbn2qBg23aSX30VS3ExqsBAAuZ/iyowsGqdFWVZx83hH8FiAkEG7UbB3W+Bk/V3QhRFCgtPXi42v5nCwlOlunByaomXZ3+8vO7BwaH5netidifMMxLVSzWMGaMxn8jIR1FrfGnV8utya3yKopmi4ngKC06Uckc1mfLKaQtqdSCuLi2s2VCdwnBybIla7VWqnclgYOGUZ8nPSKfbI4/T9eHHbul9SFQQG5lnbE4bVIF27drxzTff0KVLl2rtt9LC0Gw2s2jRIrZu3VpuQcVt27ZVq4G3is19+DbypZCoR9zuY2bX57BthvX/7/0YujxXbV0Xx2SQu+4clmITyAVc7gnEsYc/gqxuH/5zcw9zNHosZnMxHu49ad16filxeGz7ZjbOt+6edn14JN0eGXnD/g6kHGDav9NILkouOSYTZLRwb8Evg3/BaMxCpSq/nIfFYiEzMxNvb+9qeGcVQ3f6NInPPYcpOQWZiwsNv/oKhy6dq95hVpx1x/mkNTmPRelAXrdHyGjgSkb2DnS6SyVNBUGOq0tH686gV/+b1ny7Y7jd5xmJ6qeKY+a/MX4GQxYKhXOlah+KoohOl0xaWhT798fQPOQCxcXHSyWKuhaVyqskyc2VEhoXIy+wYc6nKNRqnv7yexzd63bR7I7ARuaZqmiDefPm8dlnn5GamkpERARff/01na6TYdVoNPLRRx+xePFikpKSCAkJ4ZNPPuHee+8tt/3HH3/Mm2++yUsvvcSXX35ZIXs2bdrEe++9xwcffEDr1q3LuE07O1ctjKbSjtUvvfQSixYtYvDgwbRq1erOXV2VkJC4dfbOvSoK+71XraIQwD7cC3WgCzm/nUV3Kpu8v8+jPZmF+yPNUXjUXfkaV9cORIT/yNHop8jK3kXssecJb/1NSbxMq979Mei0bF/0PfvW/Iza3p72gx+8bn+dG3Tm9Y6v89KOl0qOWUQLx7OOsz1hO30a9yn3usLCQn7++WeysrKYNGkSjo6O1fo+r4cmJIQmq1ZxaeILaKOjSRg3Dt9p7+A2fHjVOvQIxvzwArJPLyDjzA9k2uVjFP+EyzpZJtPg4d4DL6/+eHr2Qam0nay1EhJ3EqJo5vSZ6djbB9EowJrZtCpeDIIgYLG4smHDRTIyDNjb38eQId9jMGRTUHg5G+pld9Ti4vMYDBlkZe0gK2tHSR9yuRPOfo3JT9azeeFM+k94Fnv7YGQyKeZQojQrV65kypQpzJ8/n86dO/Pll18yYMAATp8+Xe6i6tSpU1m2bBk//PADoaGhbNy4kYceeoi9e/fStm3bUm0PHTrEd999V+myE1dE5n+rNFxZeDGbzZV8l1YqPfpXrFjBqlWrGDSo/PTxEhISEhWiKBN2fWr9/7vfgrterpHbyJ1VeIwOo/hwGrl/xGO4kE/aV5G4DA7CoZNvnS1uubl1ok3EAo5GP01W1g5ij02idau5yGTWmL92A4dgKC7m31XL2LFkAUqNHeF9B5TblyiKfB/7PTJBhkUs7cXxys5XmNplKg82fRCzKYez5z7Gw6MXvj73Y29vjyiK6PV6tm7dygMPPFDj7/sKCk9PGi1ZTMpbb5O/YQOp097FEH8e7/+9inCdOrX/xWjMJTNzOxmZm8nK2oXFogVnABkKE3hl6vDKMuCu8Ebe/2Fo0K9G35OEhMT1MZt1HD8xmYyMTQiCHE+PPtjbVy3Nvk6nY9myZWRkZODk5MRdd90FgErljof7XXi431XS1mQqorDoVEk21ILC4xQWnsVsLsCn0zny1zUh/uAZtjcciqOPBQeHkMsJbqw7i46OoaUShUncPhQUFJCfn1/yWq1WlxubOmvWLMaPH8/YsdbFjPnz57NhwwZ++ukn3njjjTLtly5dyttvv12ilZ577jm2bNnCF198wbJly0raFRYW8vjjj/PDDz8wc+bMStm+ffv2SrWvKJUWhiqViqZNm9aELRISEncSDp4w+g84uxl6vFKjtxIEAYeOvqiDXclefRrD+Xxy155DdyILt2HNkTvXXsH0a3Fz60JE+PdEx4wnM3PrZXH4dYk47Dx0BHptMYf/+I3NP8xFZWdHaLeydQD3Ju/leNbxcu9hEk1M3zed5aeW81Jgc0yZa8nO3oOnx90oFE4MHDiQn376iaioKNq3b1+rLvcytRq/zz9DFRxE5pyvyV60CMOFC/h9/jlyx/LjQXW6FDIyLyePyT2AKF5dFdWo/fD06o+XV39cHcORHVoICZ+B7gQsGwbBfaD/DPBtVVtvUUJCAusiTnTMM+TlHUEmUxEWNqvKotBgMPDzzz+TkpKCvb09o0aNwt3d/brtFQoHXF3a4+rSvuSYxWKgqCiOgsLjFMX/QXJMFsn7GxB833kKCmIpKIi9pgcZ9vZBVrF4OSOqk1NLlErXKtkvYTuEhYWVev3uu+8yffr0UscMBgNHjhzhzTffLDkmk8no168f+/btK7dfvV6PRlM6oZGdnR179uwpdWzixIkMHjyYfv36VVoY9urVq1LtK0qlheErr7zCV199xdy5cyU3UgkJicqjzQU7V+v/N4iw/tUSCncNXuPDKfw3ibyNF9CdziHtyyO4PtAU+wivm3dQA7i7W7OTxsSMJzNzC8eOv0SrlnOQyZQIgkDPx8di0BYTs+Uf/p77BSqNHUHtOpZcL4oiX0d9jYCASPkh4zJBxtmcs7yUc4bpDe1xMmQQFz+bkObTaNSoEeHh4cTExPD333/z9NNPlxSDrg0EQcDr+edRN2lC8htvUrhjBxdHjiTg229Q+vsjiiJFxeesyWMyNv/ngQ0cHUJKxKCTY8vSv0vdXoA2I63ZSw98B3HbIG47tHkc+rwNzlJ8oYRETaPTJXM0+imKis6iUDgR3vr7KhWuBzCZTKxYsYKEhATUajVPPvkkXl6Vn7tlMhVOTi1wcmrB4Ak9Wfjys2gzVLQIXIbCMbskI2pBwQmMxiyKi89RXHyOtLSr8XEatZ81uY1TqxLBqFbXnReKROU5ceIE/v7+Ja/L2y3MzMzEbDaXSXzp4+PDqVOnyrQHGDBgALNmzaJnz54EBwezdetWfvvtt1LunStWrCAyMpJDhw5V2f7c3Fx+/PFHTp48CUDLli156qmncKlKtu/LVFoY7tmzh+3bt/P333/TsmXLMsGOv/32W5WNkZCQuM059itseAVGroKAqj0Y3CqCTMCpR0M0zd3IXnUGY1Ih2b+cQnsiC7cHgpHZV7K2XjXg4X4X4a2/IyZ2AhkZmzh+fDItW84uEYd9n34Og1bLqX93sn7Whwx94z0atbLGIxgtRlKLUq8rCgFc1a4MDBzIyjMrWZqh53lvSLy0BI1bbxp79aB///6cOnWKpKQkYmJiaNOmTS2986s4DxyIsmFDEp9/Ht3Z05x65SEUk+4iRxaNVnvhmpYCLi7tLpeV6Ie9feCNO7Z3hwEfQMdx1vqHx3+Do8usY7HbJOj+Iqhvw4L1EhI2QGHhaY5GP4Ven4pa7UubiJ9wdAypcn+///478fHxKJVKnnjiCRo0aHDLNjp7ejPwhSn4Nm2Os6c1XszHZzBgXXgzGNKt8YrXZETV6RLR6ZPR6ZPJzNxS0pdS6X55R/FqRlR7+0AEoe7LJUmUxcnJqcpJWm7EV199xfjx4wkNDUUQBIKDgxk7diw//fQTAImJibz00kts3ry5zM5iRTl8+DADBgzAzs6uJAnOrFmz+OCDD9i0aRPt2rWrUr+VFoaurq489NBDVbqZhITEHczJP+DX8SCaIXZNnQnDKyh9HPB+PoL8bYkUbE9AG52BPj4Pt4ebYRdyfbekmsLDoyetW39LTMxzpGf8DScEWobNRiZTIJPJuff5yRj1OuIOH2DdZzN4ZOpMGjQLQSVXseK+FWTrrpapYPJkmD275KW7xh1fB18eb/E4X0Z+SWTBH7RzMLP9yDi0Pi8yutVYevXqxebNm9m8eTOhoaFV/rGqKhaLnmK/bExzOpJ+aQNmhyzQ/w6AIKhwd++Gl9c9eHr2RX2dDKs3xL0JPLIQujwPm6ZC4n5rjOuRRdD7TWg7CuRS0gkJieokJ/cgen0q9vZNadtm4S1nAe7QoQPx8fEMGzaMgICAarISmne5q9zjgiCgVvugVvvg6Xm1vJrRmE/hZZFYUGjdWSwujsNozCY7Zw/ZOVddBuVyexwdQ6/GLDqF4ejQrCTZmIRt4+npiVwuJy0trdTxtLQ0fH19y73Gy8uLdevWodPpyMrKws/PjzfeeIOgoCAAjhw5Qnp6einxZjab2bVrF3PnzkWv1yO/Saz95MmTGTJkCD/88AMKhfW3y2QyMW7cOF5++WV27dpVpfdbp3UMawOpXIVEved2GDNnNsGKkWAxQvij8OA3ILOd4uGGxAKyV53GlKEFwKGzLy6DgpCpa9/GzMxtxMQ+jyga8fG5n7AWn5dkyTMZDKz9ZDoJx2LQODgyfPrHeDUKLNvJTcZMZNI20k49i0owsypbyVmLHxPDJ5K0OQmNWsOwYcPw8Kj51O0mUwFZWTvJyNhMZtYOzObCknMyowL1UQuaozIadBuH78RXEKrLxVUUrQsVW96F7HjrMc8QuGcGNLsH7kRXsNthnpGoXSo4Zi4l/YyP96Bqi8kzGAyoVDUXF5585iSuvn7YO1fOHc9s1lFUdKbUzmJh4SksFl2ZtoKgxMGh6TW7iy1xcmyBQlE7maHrDBuZZyqrDTp37kynTp34+uuvAWuZp0aNGvHCCy+Um3zmvxiNRlq0aMHw4cP58MMPKSgo4OLFi6XajB07ltDQUF5//XVatbp5HLydnR1RUVGEhoaWOn7ixAk6dOhAcXHxTfsojyovj2ZkZHD69GkAQkJCquTjLSEhcQcQtw1WPmEVhS0fggfm2ZQoBFAFOOHzYlvy/rlA4b/JFB1IRXc2F/fhzVEHVt1Xvyp4evahdau5xB57gbS0PxCQERb2GYIgR6FS8cD/3mHNzKmknD3NmplTefS9T3Br4H/zjq+hnX8fEixvcfbsDPq4COxLTmf6gem0bNCSSV0n1ago1OszyMzcQkbmZrKz9yGKhpJzKpU3Xl798PK8B1eXjmQd+4asqB/IjfoJ87kk/D7+CJldNWQHFAQIGwLN74UjC2HHx5B5Gn4eDoE94J6Z4Nfm1u8jIXEHkpK6Dk+PPiiVVhe9hv43rsN6I0RRZOfOnYSGhpbsztSkKPx31TL2/7qCNgPuo+9Tz1bqWrlcg7NzOM7OV8sOWCwmirXnrdlQSwTjcUymfAoLT1JYeJKU1F9L2tvZNS5Tb/F6NWglao8pU6YwevRoOnToQKdOnfjyyy8pKioqyVI6atQo/P39+eijjwA4cOAASUlJtGnThqSkJKZPn47FYuG1114DrC6s/xV/Dg4OeHh4VEgUgrVOYUJCQhlhmJiYiJNT1cMjKi0Mi4qKmDRpEkuWLCkpbi+Xyxk1ahRff/019vb2VTamOpk3bx7z5s3DYDDcvLGEhETNcGEP/DISzHoIvQ+G/mCz7nqCUo7r/cFoWniQs+YM5mwdGd/F4NizIS79GyMoai9GxMurH61bzSH22CRS034HQUZYi08QBDkqjR1D33iPVe+9QUbCBVZfFodXYmMqSkP/J7CYtXRt8Ai6cxv4LuY7jhcd59ktz9LdvzuvtH+FZm7NquX9FBefJyNjMxmZm8nLi4Jr4iHt7Zvg5WktNu/sHFEqFsf7lSmomjQh5d13Kdi4kYtJSTScNw+lT+Xe63VRqKDzBAgfAXtmw/5v4cJu+L6XdWe7z1RwrT53NQmJ2xlRFImL/4KLF7/F1bUzbdssKsmwXFV27tzJjh072L9/Py+++GKNP2MGhLVm/68riN78F20GDMbD/9a+/zKZAkeHZjg6NMPX11oOSBRFdLqkEhfUwsv1FvX6VLTai2i1F0lP/6ukD7XK53KSm6slNDSahlKSm1pkxIgRZGRkMG3aNFJTU2nTpg3//PNPSUKahISEUknbdDodU6dOJT4+HkdHRwYNGsTSpUtxdXWtVpuefvppPv/8c7p16wbAv//+y//+9z8ee+yxKvdbaVfSCRMmsGXLFubOnUv37t0Ba0KaF198kf79+/Ptt99W2ZiaQHIllaj31Ocxs/JJOLne6p43Yhko6kdMhUVnIvePeIqPWGMKFD72uI8IQeVXu24+6en/cOz4i4iimQa+w2jR4uMS4VSUm8PK6W+Qk5KEWwN/Rkz/GAdXN/Iz09E+/TR2P/5YKbGYp8/ju5jv+OXUL4gmkdC8UEIDQ5l4z0S87CvnESKKIgUFx6yZRDM3U1R0ttR5Z+cIvDytmUQdHG5e/qj48GEuvTAJc24uCh8fGn4zD7uWLStlU4XITYCtMyB2lfW1XA1dn4e7JoOmdneOa536PM9I1A3XjBmLxcipU2+RkmpNQBjUZDKBgRNvSbzs3buXTZs2AdZi3l26dLl1myvAus9mEHf4AEHtOvLQ6+/Wyj0BDIasyzGL1l3FwsITFBdfgHISiykUzjg6trhmdzEMe/vgkrADm8VG5hmb0wZVwGAw8L///Y/58+djMpkAUCqVPPfcc3z88cflZlitCJUWhp6enqxZs4a777671PHt27czfPhwMjIyqmRITWFzH76NfCkk6hH1ecwYdfDvV9D9JVDWbjKT6kB7PIuctWexFBpBJuDcrxFOvQIQ5LW3UpuW/hfHj7+MKJrxazCc0NAPSsRhfmYGK959jYLMDLwaBTLwhVdZ/vZkzEYjcqWSp778rkLiUBRFMjI24enZh0uFKXyz9hs05zUUKYrY3Xg3o8NHMzpsNPbK66/WWyxGcnMPkZFpLSuh16eWnBMEBW6uXfDy6o+nZ180mspnEjQkJpL43HMYzsUh2Nnh98nHON9zT6X7qRBJkbB5mnX3EMDeA3q9AR3Ggrz2s9bWCvV5npGoFXS6ZAzGa5JcvTwZvpyNxazjXNwn5OVFIghyQkNm4uc3/JbudfjwYf78808A+vTpQ8+eZeu31hTZyUksfvV5LGYzw96eQWB421q7938xmYooLDx5NWax4ASFRWcQRWOZtjKZGkeHkMu7i1bB6OgYilxuQ7+9NjLP2Jw2uAWKi4uJi4sDIDg4+JZ31SstDO3t7Tly5AgtWrQodfz48eN06tSJoqKiWzKourG5D99GvhQS9Yj6NmbyU8DJ97ZJ4GEuNJCz9hy641mANR7RbXhzlF615zaflvYnx45PBiz4+T1KaMiMEnGYk5LEindfpzgvF8+AxmQmXg1of+KjL/EJuvmOXOyxF0lP30DT4Ndp3PgZ9Ho9s+fMRlek47jrcU65ncLbzpsX2r7AkOAhyC/HiJrNxWRl7yYjYxOZmdsxmfJK+pTL7fFw74WXV388PO5Gqbz1HTdzQQFJk6dQdLlIsNfkyXg8M75mXKpEEc78YxWImWesxzyaQr/3IHTwbTO+S6hv84xErWKx6Pn3354YjJk3bNe61Td4ew+4pXvFxMSUlD7r3r07/fr1q3W3ye2LfyDyr9/xbBTIk598hcyG4uItFgNFRedKZUQtLDyJ2Vze87cMB4dgq0i8XGvRyalltczHVcJG5hmb0waVwGw2c/z4cZo1a4bdf2LutVotZ8+epVWrVlWuR1xpYdi3b188PDxYsmRJSTpzrVbL6NGjyc7OZsuWLTfpoXaxuQ/fRr4UEvWI+jRm0k/CosEQ8Zg1gcdt8vAsiiLFUenk/h6HqDcjKGW4DGyCQ5cGCLLaeY+pqes5fuIVwIK//+OENH+v5GHpfHQkf876CINOW+qaQS+8grt/AHbOzjfcOUxJ+ZUTJ19DJrOja5dNaDR+xMbG8uuvvyKTyzjc9DDnDecBiHALZkLTrjib4snO3o3Foi/pR6l0x8uzH15e/XFz61YjK9WiyUTax5+Qs2wZAC4PPIDvjPeR1VRCCrMJIhfDjo+g6LJHTKOucM8H0LB9zdyzLqhP84xErSOKIocOP0RBwTHKc20EsLcPpkvnjbck4uLj41m6dCmiKNKxY0cGDRpUJ7F02sICfnpxPLqiQvqPf4HwfvfWug2VQRQtaLUXS7miFhQcx3jtDu81aDQNL8csWoWio1MYapVPzf9b28g8Y3PaoBIsWrSIuXPncuDAgTIlLUwmE126dOHll1/miSeeqFL/lXZG/uqrrxgwYAANGzYkIiICgOjoaDQaDRs3bqySERISErcBmWdh8RAozrImnTEWg8qhrq2qFgRBwKGdD+ogV3LWnEF/Lpfc9XFoT2Th9nBzFK41Hzvp6zsEEQsnTrxKUtJyBGQ0b/4uBVkZ/P7ZDMzG/7gWCQJ/zf0C4KZupb6+Q0lOXk1u3iHOnJ1BeOtvadWqFYcOHSIhIYHHhKGowg6SnbWNQGUshtRYruwbaDQBeHvdg6dXf1xd2iEINbuyLigU+E59G3VwEKkzPyDv998xJCbScO7XKNxroP6kXAEdn4bw4Va36L1zIWEfLOgDrYZB32ngFlj995WQsCEEQSA4aApHo8det03zZlNvWVj4+/sTGBiIs7MzAwcOrLMEK3aOTnR9ZCQHf1+D2sH2S0gIggx7+ybY2zfBx2cwYBXzekPafzKinkCnu1Tyl5GxqaQPpdK9VMyik1NL7Owal0oIJlH3/Pjjj7z66qvl1jlUKBS89tprzJ07t/aEYatWrTh79izLly/n1KlTADz22GM8/vjjZbY0JSQk7hCy42Hx/VCUDj6t4Mm1t40ovBaFqxrPp1pRtD+FvL/Poz+XS9qXR3AdEox9W+8af4hp4PsgiGZOnHydS0lLQZDhIn+srCgEqyvkZcxGI9r8/OsKQ0EQCAl5j4OHhlgTxmRsQ2PnR3hEHgkJIqdPXaC16ihBrtb7JBlkxGjlHNMp6Nr4biY2fAY3u9pNqe722GMoGzUi6eXJaCMjufDIcALmf4u6WfVkUi2D2smapbT9WNj+ARz9GY79aq2H2OkZ6Pkq2LnVzL0lJGwAd/ceODm1pqDgOGC55owMJ6eWuLv3uOV7qNVqRo4ciUwmq7IrXHUR0X8QrXvfg1JjQzF6lUAQBDRqXzRqXzw9+5QcNxrzKCi8nA31sjtqUVEcRmM22dm7yc7eXdJWLnfA0TG0VEZUB4dmFc42WyYu1UsLBcdKXqqUHlWKOb+TOX369A0TMXXs2JGTJ09WuX+pwH1tYyPb6BL1CFsfM7kJsHAQ5CWCVyiM2QAOt3/dJWNGMTmrzmBILABA09IDt4eaInesuRpbV0hOXs3JU9aiuj6ej7Ll0+OYjdasZIIgUN603mHwQ3R88OHrFm0WRTPHjr9CevofCIIcUTQDcO5sJ1JSQnB10zJ0aChenv3JMFr4MvJLNl/cDICdwo6nWj3F6JajsVPU7gKhPj6exGefw5iQgMzBAf/Zs3CsjUQVqbGwaSrE77C+1rhCr9eh4zhrGYz6hq3PMxI2QUbmNmJixpc53iZiIR4eVfveJScnc/78ebp16yaVYKgjzGYdhUWnrdlQL7ujFhaeKhUqcAVBUOLg0Ky0K6pjKApF6Z3VisSlqlSedO+2C5msdjOW25w2qAQODg7s27eP8PDwcs/HxMTQtWvXKud8qdCO4fr16xk4cCBKpZL1N/nhGDJkSJUMkZCQqIfkJ1vdR/MSrYk5Rq2/I0QhgNLLHq9nIyjYmUj+lgR0x7NIu5iP20PNsGtZcwXiAfz8HkHEwqlTb5GWuYI+rzyAk7of+Znp/LtyaUm7Rq3bkhp3luIsHYc3rOXopg206HE37QY9gGdAY8xmPTk5ey+XldhSEo9iFYVyPD170ySwN0ePCvTpM6CkBlMjO5h19ywi0yL5/PDnxGbGMu/oPFafXs2kdpO4P+j+kgQ1NY06KIjAlStIevElig8dIvHZ5/B54w3cnnyiZh8yfVvDk+vg3FbY/A6kn4CNb8LB76DfdAh78LaJsZWQuIK1Dum13NpuYXp6OkuXLkWr1aLRaGjf3vbidkWLhZN7dpB2Po7eo8uK4tsBuVyDi3MELs4RJccsFhPFxfHX7C5a3VFNpnwKC09QWHiClJLWAnZ2jUvtLDo6tkCtaYDBmEX5cakCanUDBKEeLqTVIc2aNWPv3r3XFYZ79uyh2S14zlRox1Amk5Gamoq3t/cNt/YFQcBsNlfZmJrA5lYFpFVZicpiy2Pm+FpYPRbcGsOYv8DFv64tqhMMSYVkrzqNKa0YAPv2PrjeH4RMU7M1pS4l/czp0+/ctJ0MZy5t7k56/AXkKjNOjQrxayNH7ZGOyNUVYWttrFC02kRahH5YoR0AURTZeGEjX0Z+SVJhEgCh7qG80uEVujSonbpjAKLBQMr775O35lcAXB8dge/bbyMoa6G8hMUMR5fDtplQaK19ScNO1gRMjTrX/P2rA1ueZyRsgry8KA4fGU5pN9Kq7xZmZWWxcOFCCgsL8ff3Z9SoUVWuvVaTZF1KZNGrz4Mo8uj7n+Ef0uLmF92miKKITpd0NRvq5d3Fa8sTXYtS6YbRmHPd/m5lp/lWsDltUAk+/fRTPv30U7Zt21ZGHEZHR9O3b19ee+01XnvttSr1L7mS1jbSj69EZbH1MXN8Hfi3A9dGdW1JnSIaLeRtvkjh7ksggtxVjdsjzdEEu9bofRMTl3Lm7PQbtBBwdAyhQYNHSbq4jiJ9NIJwddo3adU4qjvTrPVoPL26IwgKRNF83ULJ2dnZuJeT5EVv1vPLyV/4PuZ7CoxW99oe/j2Y0n4KTd1uXjKjOhBFkeyFi0j/7DMQRey7dqHhl18id6ml1Oz6Qtg3F/6dA8bLbjwthlh3ED2Ca8eGqmLr84xEnWI2azlw8D602gv4eA+hWHuegoJYnJxa07HD2krvzufl5fHTTz+Rl5eHj48Po0ePvuX6azXJpu/mELttE75NmzNyxucIdRz/aGsYDJkUFJy8vKtoFY1a7YUbXGHdaa7K2KkObE4bVAKj0cg999zDnj176NevH6GhoQCcOnWKLVu20L17dzZv3oyyiouilRaGS5YsYcSIEWVWdQwGAytWrGDUqFFVMqSmsLkPX/rxlagstjZmtDlgNoLjzQun34noz+eRvfoM5mwdAI7d/XC5NxBBWXOuladOTyMpaXmF22vUgejS/Yjfk0X+JQEQ0Dg6Ed7vXtoMGIyT+1V3YIvFiEymxGw2s27dOo4dO8YzzzxDgwblJwzI1eUyP2Y+K0+txCSakAkyhjUbxvNtnsezlhLUFGzbRtKr/0MsLkYVGEjA/G9RBQbWyr2tBqTC9g8haimIFpAprbGHvV4D+xrInFod2No8I2FTnD4znUuXlqJW+9K5018UFBzj9NZxhPRdgLt790r1VVBQwMKFC8nOzsbDw4OxY8fi6GjbmT+LcnP48aVnMOq0DJr0Ki3uuruuTbJ5TKZCCgtPkZr6O0nJP5c5X1e7hWCD2qCSGI1GZs+ezc8//8zZs2cRRZHmzZszcuRIXn75ZVS3UL6p0sJQLpeTkpKCt3fph8KsrCy8vb0lV9KbIf34SlQWWxozujxY8iAYCq3xhM5SNrHysOhN5G04T9FBq3uNwssO9+EhqAKcauR+oijy794e6PUp123j4twWL6978PLqj719EwD0xcUc276JyL//ID/D6gIpk8sJ6dqDtoMGo5fvJDllJZ06rkehcGLNmjUcO3aMgIAAnnrqqRuu9F7Mv8iXR75kS4K1tq29wp6nWj3FqJajaiVBje7UKRKfex5TSgoyFxcazpmDQ+dONX7fUqSdgM3T4Jw1SQ9qF+j5CnSaAEoby3RoS/OMhE2Rnf0vUUeti/5tIhbh4XE5nrAKY8ZkMvHDDz+QlpaGi4sLTz31FC61taN/ixxYu4o9K5bg5OHF2NnfolTb2HfYRrlaA/NKNtu63S0EG9QGNkSl98JFUSz3g7x06VK9+XJLSEhUAX0hLH8EkiOhKBN0uXVtkc0iUytwG9oMjzEtkTmpMGVoSf/2KHmbLyKaLTfvoJIIgkCL0A/LPdew4Wju6r6PDh3W0LjxMyWiEEBtb0/7wQ/y9JzvGTLlLfxDw7CYzZzcs4Nfpr7C6WPfotUmcC7OWg+xf//+KJVKEhMTiY2NvaFNjZ0bM7v3bBbdu4hWHq0oNhUz9+hc7lt7H7+f+x2LWP3/DteiCQ2lyaqV2EVEYMnLI+Hpp8lZvbpG71kGnzB4Yo01SY1Pa9DnWYXi3I4QsxosNftvICFRHWRn7wHA3/+Jq6KwiigUCjp27IiTkxOjRo2qV8+N7QY/gJOnFwVZGRz5c11dm1NvuFID82psqoXgoClSBlobpcLCsG3btrRr1w5BEOjbty/t2rUr+YuIiKBHjx7069evJm2VkJCoKwzF8MujkHgANC4wah1437kB+BXFLtQd38ntsIvwAgsUbE0g/ZtojGlVSyN9I67UGIMrP7YynJxa07zZO6jVN3b7lcnkNOvcjUff+5THP5xNi7vuRhCUXNhmdXu8dGkpB/6ai0appEcP64Ph5s2b0evLpjL/L+192rN88HI+7fkpfg5+pBenM/XfqYz4cwQHUg7cylu+KQovLxotWYzz4MFgMpH6zjTSPv4EsbY9W4J7w4Sd8OC34OQHeQnw2zhY0Acu7KldWyQkKknTpq8TEf4DzZq+Xi39dejQgRdeeAEPj5rN3lzdKFVqeowcA8DB39egKyqsW4PqEVd/n8DJqXW11LyUqBkqLAwffPBBHnjgAURRZMCAATzwwAMlf48++ijfffcdy5Ytq0lbJSQk6gKjDlY+Dhd2g8rJWry+QcTNr5MAQGavxOOxUNwfC0GwU2BMKiTt6ygKdl9CtFRf7q+rq7JX+qzaqqxvcDMGTXqVcXN/JKzjGPIvuCMIkJb3Ld9PHIUx7hQuzs4UFBSwe/fum3cIyAQZA5sMZP1D65nSfgpOSidOZZ9i3KZxTNw6kfjc+Mq92UogU6vx+/wzPCe9AED2okVcmvgC5sLqF+c3NkQObUbCpCPQ5x1QOUJyFCwaDL88BhlnatceCYlK4OnZB7m8aslhTCYTGzdupLi4uOSYLWYfrQih3XoS3vdehr71HhoH246LtCUEQaBp8P+wz1LRNPh/0m6hDVPpGMPFixczYsQINBrb9q2eN28e8+bNw2AwEBcXZzt+xFIch0RlqcsxYzLAyifg7EZQOlhFYX1Jv2+DmPP15Px6Ft1pa/puVRNn3B8JQeFePfPp1ViOqmcL/C+FBYkcPHgvoqAjcZcvWSfdMDm5oW0YjEwm4/nnn8fTs3JJZXJ0OcyPns+q06swiSbkgpxhzYbxXJvnajRBTf7ff5P8xpuIej3q5s0J+PYblP51VGKlMB12fAxHFoFoBkEOHcZCrzfA0av27ZF+mySuQa/P4FzcxzQNfgO1+jrjsQJjxmw2s2bNGk6ePIm/vz/jxo2TRMGdjI3MM1KM4fWpdIzh6NGjbV4UAkycOJETJ06wY8eOujZFQqL+os2GzNOgsIPHV0mi8BaRO6vxGNMS14eaIqhkGM7nk/ZlJEWHUqmOykE1sSrr6BRAs+b/A6BxrwIC27VAXpCDvDAPUa/jt1kfc3L3dswmY4X7dNO48WbnN1n7wFr6NuqLWTSz6swq7lt7Hz/E/IDWpL1lu8vDeeBAGi9dgtzLE/2ZM5wfPoLiqP8W7K4lHL3hvlnw/H4IGWQVh4cWwJy2sOtzq/u2hEQdIIoip06/TWrqOo6fmFLlfiwWC7///jsnT55ELpfTp0+f204UFuXmVMvcLSFhK1RaGJrNZj7//HM6deqEr68v7u7upf4kJCRuI5x8Yezf8PhqCLyrrq25LRAEAcfODfB5qR2qQGdEg5mcX8+StfgE5gLDLffv7t6drkubVTqF/I3w938CJ8eWiBjpMbYfYz6fR9ugxjgnnKYg7hR/zf2CBS88zYG1q9AW5Fe430CXQL7s/SULByykpUdLioxFzImaw/1r72d93PoaSVBjFx5Ok1WrULdogTkri4TRY8j7449qv0+F8WoOj/0CYzaAX1swFMC2GTC3Axz9RUpQI1HrpKT8SmbmVgRBRbNmb1epD1EU+euvv4iJiUEQBB555BGCg228lmclObB2FQsmjSPuyMG6NkXiDsRsNvPjjz8ycuRI+vXrR58+fUr9VZVKC8P33nuPWbNmMWLECPLy8pgyZQpDhw5FJpMxffr0KhsiISFhI1gscOnI1dfOftBEChSvbhQedng9E47LoCYgF9CdyiZt9hGKYzPq2rQyyGQKWoR9SudOG/D2HoBnQGPue/5lJsz7ie7Dn8DB1Y3CnGz2rFjC98+PZfP3c8m6lFjh/jv4duDnwT/zcY+PaeDQgLTiNN7e8zaP/vkoB1Oq/6FL2aABgcuW4tivL6LBQPL/XiNjzhzEuhRhgXfBuG0wdAG4BEB+Eqx7Fr7vCfE76s4uiTsKrfYSZ87OACA46GWcHEMr3YcoimzZsoXDhw8DMHTo0JIi3LcTBp0Wk0HPrmU/VspjQkKiOnjppZd46aWXMJvNtGrVioiIiFJ/VaXSMYbBwcHMmTOHwYMH4+TkxNGjR0uO7d+/n59/LlvEsi6xOT9iG/GvlqhH1OaYsVjgz5cgajkM/R5aP1w7973DMaYWkb3yNMYUa0IUuzZeuA0JRmavrFqHtThmLBYLR48eJen0CXKPHiL9QlzJucA27Wk/cAiNI9pV2IVMb9az/ORyfoj5gUKjNetfr4a9mNJ+CkGuQdVqu2ixkDF7Nlk/LADA6d578fvoQ2R2NV9n8YYYdXDwO9j1hbXEBUCze6D/+zWXDVj6bbrjEUULkVFPkJt7ABeX9rRv9wuCIL/+BdcZM/v27WPjxo0A3H///bRv376mTK5TDNpifnzpGYrzcrl71HjaD36grk2yfWxknrE5bVAFPD09WbJkCYMGDarWfiu9Y5iamkrr1taUs46OjuTlWX+07rvvPjZs2FCtxklISNQiogj/vA6RS7ia2VKiNlD6OuA9sQ1OfQJAAO3RDNK+jER3JqeuTSuX/PwYUlN/B+DMmTOsX7+e2PMJPPD2DIa/+xHBHbqAIHDh6BF+/ehdFr86kZit/2A03Ly8hVqu5qlWT7Fh6AYeC30MhaBg56WdDF0/lJn7Z5Klzaq29yHIZHi/8goNPvwQlEoK/vmHi0+OwpiWXm33qBJKDXR/CV6Mgs7PgkwBZzfBt91g/YtQkFq39kncliQmLiI39wByuT1hLT67sSi8ASEhIbi6unLPPffctqIQQGVnT/cRTwCw/9df0BYW1LFFEncSKpWKpk2bVnu/lRaGDRs2JCUlBbDuHm7atAmAQ4cO1dv0wxISdzyiCJumwsHvAQEe+EbaLaxlBIUMl3sC8XouAoWnHeZ8A5k/HSNn3Tkshlquu3cD8vKiOHR4KCdPvY1Ol0zz5s1p2LAhBoOBLVu2EBDWmgf/N5Wnv/yetgPvR6mxI+tSApu/n8sPz4/l35VLKczJvul93DXuvNX5LX574Dd6B/TGLJpZeXolg9cOZkHsAnQmXbW9J9ehD9F44U/IXV3RHTvG/9m77/Cmyi+A49+bpOnee0EHZRQomzIFBKSATGUryhIQcYH+nCA4EAfKUhREQUTZG8oesveQlllK994rbcbvj2gRKdCWtknL+3mePtDkjnPb2yTn3vc9J3LwYArCwips++Vm6Qg9Z8Okk9CgL+i0cHYZzGsOB2ZDYRW33BBqLK1WTVz8agDq1HkXC4va5d6Wg4MDEydOpF27dhUVntFq1KU7TrV8KMjN4dha4xoxJ9RsU6ZMYe7cuRVe/KjMieGAAQPYu3cvAJMnT+bDDz8kICCAkSNHMnr06AoNThCEKrL/Uzi2QP//Pt9C02EGDedxZlrLBpdXm2HVzgOA3OPxJM49i+p26Yu6VCYbm6bY2bZEq83n2rWZyGQyevbsCcDFixeJiooCwM7NnSdfHM/473+h0/NjsHF2IT87i+PrV7F40mh2LPiaxFs3H7QrAHxtfZn35DyW9lhaXKBm7tm59NnYhy03t1RYgRqLli3xWbMapb8/6sREIkc8R9bu3RWy7Ufm6A9DfoXRO8GzJRTlwoHP9Ani2eWgNZ4LB0L1JJMpaNliHXUDpuHpUfbX/7/++otr1+704nxcbhTIZHI6Pz8WgAu7tpMWF2PgiITHxeHDh/ntt9/w9/enT58+DBw48K6v8irzHMP/OnbsGMeOHSMgIIA+ffo8yqYqhdGNIzaS8dVCNVLZ58zBL2H/J/r/9/wSgl+qvH0JZVJwI530NdfQZBaCBNadvLDpVhtJ8ZBrepV8zuTkXOXkqb7odGqaBC3GyelJNm/ezNmzZ3Fzc+Oll15CJrs7Rq1Gw41TxzizfTNxV+/cjfNq0Ijmvfvh36I1MtmDh65pdVp23NrB3LNzic/Vj1xp4NCAt1q9RSu3VhVybJrsbGJff4PcI0cAcH7zTRzHGVHvNZ0OwjbCno8gPVL/mEsgPPUx1OlW/u2K9yahrP4+Z65evcqqVasAGDNmDJ6G6g1qQBtmz+D2pfP0GP8qDTp2MXQ4xstIXmeMLjcoh1GjRj3w+Z9//rlc233kxNDYGd0v30j+KIRqpDLPGZ0Otk/V90976hNoN7ly9iOUmzZfTcaWm+Sd1c97M3GzxH5IPZTulvdfqQpeZ67f+JyoqMWYmXnRJjiU/HwN8+fPR6VS8fTTT9OyZcv7rht/4ypnt2/m2vHDaDX6u122rm40D+lDoy7dUZpbPHDfBeoCfgv/jSWXlhQXqOns1Zk3Wr6Bn+2jF6jRqdUkzvqc9N9+08fWrx9uH89EplQ+8rYrjFql/7s9+AUUZOgf8+uiTxDdGpd9e+K96bGUlXWRzKzzeHk+hySVfhBZbGwsu+fMIXDIEHbu3IlGoyEoKIj+/fvfc1HocZCZlABI2Lq4GjoU42YkrzNGlxsYkVIlhpvL8Evs27fvIwVU0Yzul28kfxRCNVLZ54xOBxH7wb/8fW+Eypf/VwrpG66jzVWDXMKme22sn/BCkpVwJ6sKXmfU6lyOn+iBShWPT+2X8fefwvHjxwkNDcXCwoLXX38d5UMSqezUFM7v3MrFPaEU5OoTPKW5BY2ffIpmIX0e+iErrSCN789/z5pra9DoNMglOc/WfZaXm76Mg9mj99VNW7mSxE8/A40G8xYt8Jo/D4Wx9evNT4dDX+nnB2sKAQmajoAn39e3mikt8d702NFoCjh5qi95eTfx95uCj8/LpV53+/btnDx5EplMhlarpX79+gwaNAi5vHwFa4THhJG8zhhdbvAIkpOTuXr1KqAv/OTs7PxI2ytVYljaqz+SJKHRGNdcB6P75RvJH4VQjVTGOXNjL/g+AfJytkMQDEKTXUj6hhsUhOkrcyprWWM/uB4mTv9pr1BFrzNJyTu5dOllJMmENsE7MTX1YsOGDbRu3ZpatWqVejtFBQVcPrSPs9s3kR4fC4AkyQho3ZbmvfrhUa/BA4dy3sq8xZwzczgQfQAASxNLxjYey3MNnsNMYfYoh0jOkSPEvv4G2uxsTLy88P7+O0wDAh5pm5UiPRL2zoS/1um/V5hDu1f01U1NrR++vnhveuxcu/4J0dE/o1Q60yZ4ByYm9g9cPiMjg7y8PACWL19OQYG+AJSXlxc9evTA2toaOzu7yg7b6MVdu0J+dhb+LVobOhTjYySvM0aXG5RDbm4ukydPZvny5Wj/7sErl8sZOXIk8+fPx8LiwSNv7kcMJa1qRvJHIVQjFX3OnPsNNr0M9XrB4OUiOaxmdDodeWeSyNhyE51Kg2Qiw7aXL5rcIrL3RGHTvTY2c18h67UFZO2+rf++a+mTtLLGEhY+FTvbVnh4DC7TULQSt6fVcuvCGc5s20TUpfPFj7v5B9C8d3/qBrdHrlDcd/1TCaf46vRXhKXq5zC6W7rzavNX6eXbC9kjxKaKiCB6wkSKoqKQWVnh+c0crDp2LPf2KlXMaX2F4ahj+u8tnaHzu9D8BZDf/2cn3pseL2npxzh3Tt9qoUnQEpycHj4v7qOPPqqQZWqyiLOn2DB7Bha2doyZ++NDh8U/dozkdcbocoNyGD9+PHv27GHBggW0b98e0BekefXVV+nevTvff/99ubZbIYlhRkaG0V4lMrpfvpH8UQjVSEWeMxfXwPpxgE7fHy3kczCWohpCmagzCkhfcw3Vzcx7njPNuY3K6k65+cpMDh8kKysLa2vrchVuSY6K5Oz2zYQf3o+mqAgAKwdHmvZ4mqBuIZhblXwXTKvTsi1iG/POzSMhV9/vL9AxkKktpz5SgRp1ejqxk18l7/RpkMlwfecd7J9/zniK0vybTgdXtsHuaZD2d+VXp3rQfSbU7VHy37x4b3psqNXZnDjRiwJVHB4eQ2lQ/9NSrXfx4kU2btxYfHfi32QyGf379ycoKKiiw61WNOoifpnyMhkJ8QQPGEyHoSMNHZJxMZLXGaPLDcrBycmJtWvX0rlz57se379/P4MHDyY5Oblc2y3zJdTZs2cXV58CGDRoEA4ODnh6enLhwoVyBSEIQhUI2wQbxgM6aDFKJIXVnMLODKcxjbHtc2+xFZXl3Ulg1u7bVRKTWp2LWq2fK3j48GHmzZtHWDn7ATrX8qHHhFd5aeHPtBs0AgtbO3LSUjn8+zJ+nPgie5YsLLE0vEyS0ce/D1v6b+G15q9haWJJWGoYo3eOZvK+ydzKvFWueBT29tRa+hO2zwwErZbEzz4jYcYMdH8nrUZFkqDB0zDphL7SsLkDpFyF34fAsj4Qdw72z9IXrinJwS/0zws10rXrn1CgisPcrBYBdd4r9XpBQUGMHTu2xOfGjh372CeFAHKFCU88p2/ddnrrBrKSkwwckVBT5eXl4ep67zx8FxeX4iHf5VHmxHDRokV4e3sDsHv3bvbs2UNoaCg9e/bkrbfeKncgFW3hwoUEBgbek0kLwmPp6g5YOxp0Gn1hit5zRFJYA0gyCev2nli2+0+Rkf/8bm26l79ZdWmlph3m+Ike3Iz4CgC1Wo1arWbnzp0UFhaWe7sWtna0fXYY4xb+TMjLb+Bc2xd1oYoLu3fw8xsTWP/5R9y+eP6eJr9mCjPGNh7LtgHbGFJvCHJJzoHoAwzYNIBPj39KWkFamWORlErcP/kEl7feAkki449VRI8fjybz3ru2RkFuom8/89p56PAGyE0h8k/4sTNc2arvX/rf5PDgF/rHH9I6RKie8vJukZCwEZAIDPwSheIB1Y3/Iy4ursKbaddEdVq2wTuwMZqiIv78fZmhwxFqqLZt2zJ9+vTiub4A+fn5zJgxg7Zt25Z7u2UeSmpubs61a9fw9vbmtddeo6CggB9++IFr164RHBxMenp6uYOpDEZ3u9hIbqML1cijnjM39sLvQ/UVCxs9CwN/FB/6aqDkxRdLHFaqcDHHdXJzJJPKLSGflnaEc+dHAjJatVyPuXl9FixYQGZmJk888QRPPlkxVW91Oh3Rly9xdscmbp45qR82CTh516Z5r3406NAZRQnVUCMyI/jm9DcciDkAgJWJlb5ATeBzmMrL3ow7e98+Yqe+hS4vD6WvL97ff4fSx+dRDq3yZUTBvk/g4t+jfiS5/mJRxykw9zRM6aBPCru8D53eNmysQqXJyrpEZuYZvL1fLPU6CQkJLFmyBA8PD1JTU7G1taX58eOcbdOGrKwsxo0bh62tbeUFXc0k3rrJindfB52OYR9/hUfd+oYOyTgYyWdgo8sNyuGvv/6iR48eqFQqmjRpAsCFCxcwMzNj586dNGzYsFzbLfMnBXt7e6KjowEIDQ2lWzd9Q12dTmd0FUkFQQDkSpCZQIO+MOAHkRTWQFl7o0pMCgHUSfnEzTxG5s5INFmqSovBwaE9rq59AC1Xr05DoZDRo0cPAI4cOVJhFw0lSaJWoyD6v/Uho79ZRNMeT2NiakZK9G12/TCPHyeN4sjqFeRm3L0/P1s/5nedz09P/UQDhwbkFOXw7dlv6bOhD9sitqHV3Ttv6kGsn3wSn5W/oXB3p/DWLW4NGUruiZMVcoyVxq6W/sLQSwfAp6M+KQT482todlAkhY8JG5vGZUoKCwoKWL16NWq1GqVSyWuvvca4ceNomZLCuHHjeP3110VS+B+uvv407NQVgAPLF4s7rUKFa9SoEdevX2fWrFk0bdqUpk2b8vnnn3P9+vVyJ4VQjsRw4MCBDB8+nO7du5OamkrPnj0BOHfuHHXq1Cl3IIIgVBLfjjBmFzzz04OrEgrV1j1zCP/zIURXpCV7fzTxn58i9fcrqKKyKiWOgDrvIZdbkZV9kdi4VTRo0ABfX180Gg07d+6s8P3Zu3vSdfQEXvr+F554bjTWTs7kZ2VyfN0fLJ40itDvviEpMuKudVq7t+aPp//gsw6f4WrhSnxuPO/8+Q7Dtw3ndMLpMu3frH59fFevwqxJENrMTKLGjCFj7dqKPMTK4dEMXtgCw1aBU139Y/+MPnaud8/5I1R/KSn7yM65Uub1dDodGzduJC0tDVtbWwYOHIhSqSwuuiRJEooHVAp+nHUY8jz27h4EdQ0Rf1NCpbCwsGDcuHF8/fXXfP3114wdOxZzc/OHr/gAZR5KWlRUxNy5c4mOjubFF1+kWbNmAHzzzTdYW1vfd2KyoRjd7WIjuY0uVCPlOWdizoCJObgGVk5MglHJ2ht1V3JomhOJysqn+HvzICc0WYUURt5JCE28rbFu74F5IyckRcUNM42OXsa16zNRKGxo22Y3GRlavv/+e3Q6Hc8//zz+/v4Vtq//0mo0XD95lDPbNhJ//Wrx496BjWneuz/+zVsh/asvb4G6gF/DfmXJpSXkqfWT9Z/0fpI3WryBj61P6fdbUED8e++TtX07AA6jRuEydQpSdWj2vf9zODgLdNxJDr2D4alPwFv0YasJCgriOH6iJ1qtihbNV2Jr27zU6x45coTdu3cjl8sZPXo0np6ed54Un2ceSqfV3vWa89gzknPG6HKDUtq8eTM9e/bExMSEzQ/5Ofbt27dc+xB9DKuakfxRCNVIWc+ZuPOwrK9+yOioHeAi5jY8Dv5JDh/Ux7AwNoecI7HkXUgGjf6lX2atxKqNO5bBbsit7p2bV1ZarZrTpweSnXMZN7cBNAz8ih07dnD69GlCQkJo1ar8LSPKIu7aFc5u38S1E0fQ/V1e387NneY9+9KwczeUZneuqqbkp7DowiLWXluLRqdBISkYVG8QE5tMxN7swU2//6HT6UhZ+B0pCxYAYNW5Mx5ffYXcqvTFParcP4VmurwP3xyAfhLcPnzn+cB+0HU6OFZeMi9ULp1Oy7nzL5CefhQbm2a0aP4HMlnp7vBFRkaybNkydDodvXv3vvdvV3yeKROdTmec7W2qkpGcM0aXG5SSTCYjISEBFxcXZA+44CBJUrmn95UrMbx+/Tr79+8nKSnpnn4206ZNK1cglcXofvlG8kchVCNlOWcSL8MvvSE/HbzbwHPrwNSqcuMTjM9DzhlNdiG5J+LJORGPNvvvdgsKCYsmLli190Dp8WjnTGbmeU6feRYXl540DPwGlaqIgoIC7O1Ll2RVpKyUJM7v3MbFvaGocnMBMLWwpHHXHjQLeRobJ5fiZSMyIphzZg4HYw4C+gI144LGMaLBiFIXqMnavp24d99Dp1JhWrcu3t9/h8m/77IYi38nhZ3evnPO7PoAjs6/s5zMBFqN1S9j4WC4eIVyiY5ZzrVrM5DJzAhuvRULC99SrafRaFiwYAHp6ek0btyYgQMH3pvUiM8zpaLTagk/cpATG1YzeNpnWNpV/eug0TCSc8bocgMjUubEcPHixUycOBEnJyfc3NzueqGQJImzZ89WeJCPwuh++UbyRyFUI6U9Z5Kvws+9IC8FPFvA8xvBzKbSwxOMUCnPGZ1aS/6lFLKPxFIUk1P8uNLXBuv2npgFOiLJyneFOyf3OlaWAeVatzIUFuRz+eBezu3YTHp8HACSTEZA63a06N0Pj7oNipc9EX+Cr09/TXhaOAAelh681vw1QnxDkEkPHxaWf/Ei0ZMmoUlOQe7oiPfCBZg3bVopx1Vu+2fpRxX8U2jm3+fMwS8gO15fxfTGHv1jprbQ8U0IngAmZoaJWSiTvLxbnDj5NFptAXXrfoS31/NlWj8hIYH9+/fzzDPPoCyh0q/4PFM6Oq2WlR9MIeHmdRo/+RRPjX/V0CEZjpGcM0aXG5TD8uXLGTJkCKamd1+0LCws5I8//mDkyJHl2m6ZE8PatWvz8ssv87///a9cO6xqRvfLN5I/CqEaKc05k3pTnxTmJIBbELywGcwf46uSj7syvs7odDoKo7LJORJL/l8p8PdAELmdKVbtPLBs6YrMwqRCQouOjiYyMpKOHTtWyPbKSqfVEnHuNGe3byTqr4vFj7vXqUfz3v0IaN0OuUKBVqdla8RW5p6dS1Kevkl1I8dGTG01lRauLR66n6L4eKInvozqyhV9/8NPP8W2z9OVdlyP7H7nzM19sGsaJF7Sf2/rDV2n6VvfiLlTRkurVXPm7BCyss7jYN+Bpk1/RirFRY0yEZ9nSi32Shh/TH8bJInnP5+Li4+foUMyDCM5Z4wuNygHuVxOfHw8Li4udz2empqKi4tLuYeSlvlVIj09nUGDBpVrZ4IgVIKMKP2cwpwEcAnU3ykUSaFQBpIkYVrbBsfhDXD7X2usO3sjs1CgyVCRuf0W8bNOkr7xBkVJeWXetkqVRFjYW+Tnx5KWlsbSpUvZu3cvMTExlXAkDyfJZPi3aM2gDz/j+dnzaNi5G3KFgvgbV9k29wuWvDqWk5vWUpibR1//vmwdsJXJzSZjobDgr9S/eDH0RV7f/zqRmZEP3I+Juzs+v63AqmtXdIWFxL31Fsnz5hXPd6w2/J+E8Qeh//dg4wmZ0bB+HCzuDLcOGTo64T4SEjaSlXUehcKaBg0+L3VSeP36dYP9bdZknvUDqdumA+h0HPz1J9G+Qnhk95uzGhMT80jtY8qcGA4aNIhdu3aVe4eCIFQwMzuw8wbHABi5CSwdDR2RUI0pbE2xDfHB/d3W2A8MQOFqga5IS+7xeBLnnCH5p0vkX0lDpy3dB5vwK+8Rn7Cea9dn4uDgUNyId/v27ffMUa9qLj5+hEx8nXELf6bts8Mwt7ElJzWFP1f+wg8vv8Cen74nPymNl4JeYtvAbQyuOxiZJGNv1F4GbBrA5yc/J73g/v0ZZZaWeM2fh+PYMQCkfPc9sVOmoM3Pr6pDrBgyOTQdDpPP6O8WKq0h/gIs6wO/DYaksrdBECqXu/sA6tR5h3p1Z2Jm5l6qddLS0li7di1Lly4lMjKycgN8DD0x4kXkCgVRf10g4uwpQ4cjVFPNmjWjefPmSJJE165dad68efFXkyZN6NixY3GP+fIoc/OZOnXq8OGHH3L8+HEaN26Micndw4teffUxHjstCIZgZqMvMqPKBiuXhy8vCKUgmcixbO2GRStXVBGZ5ByJoyA8FdX1DFTXM1A4mWPVzgOLFi7ITO//VlLH/23S0v4kJWUPySl76dq1K2FhYcTFxXHhwoXilkeGZGlnT7tBI2jdbxBXjhzkzPZNpERFcmHXNi7s3o5fs5a06N2fD9p8wPAGw5lzZg6HYg7xW/hvbL6xmXFB4xjeYHiJBWokmQyXqVNR+vkTP3062TtCuR0Ti9fCBZi4VLO/VxNz6DgFmr8AB2fD6aVwfSfc2A3NR0Ln98Da1dBRCoAkyalda1yply8qKmL16tWoVCq8vb3x9vauxOgeT7YubjTv3Z9Tm9ZycMVSfJo0Ry56QApl1L9/fwDOnz9Pjx49sLK6UyxOqVTi4+PDM888U+7tl3mOoa/v/StaSZJERETEfZ83BKMbR2wk46uFaqSkcyY3Ba5shRYvGiQkwchV0uuMOjWfnGPx5J5KQKfSz1+QTOVYtnLDqq07CseSG+veuDGb21E/YmbmRZvgUE6cOMeuXbuwtLRk8uTJmJkZVzETnU5H9OWLnNm28a4r+861fGjeqx/123fidOpZvj79NVfS9HfLPK089QVqfELuW5I+79QpYia/iiYjA4WrK97ff4dZoJH0Gi3POZNyA/ZM178WAZhYQvtXod1kUBpxm44aLDl5Dw4O7ZHLy9bketOmTZw7dw4LCwvGjx9fuqFo4vNMmany8vjptXHkZ2XS/+1p+Ld4zHqFGsk5Y3S5QTksW7aMIUOGVPj7p+hjWNWM5I9CqEb+e87kpemHcCX+BT0+g7aTDBebYJwq+XVGq9KQdzaRnCNxqFP+HhYpgVl9B6zae2Lqb3tXcqRW53L8RA9Uqnh8ak+kdu3XWbRoESkpKbRp04aQkJBKi/VRpcXFcnbHZi4f3INapQLAwtaOJt170bhbD/alHmbeuXnFBWoaOzVmasupNHctuYl4YVQU0RNfpvDmTSRzczy//ALrRxj2U2Ee5Zy5fUzf5iL2tP57K1fo8h40fQ7k4o5IVUnPOMXZs8OwsPClVcv1KBTWpVrv3LlzbNq0CYDnn38ef/9S9q0Un2fK5fqpY5hbWuMV2MjQoVQ9IzlnjC43MCKipJggVCf5GfDrAH1SaOUKAT0MHZHwGJKZyrFq64Hrmy1wHNUQ07r2oIOC8DRSllwiae5Zck8moCvS31VUKCypV1ff4/Z21BJUqsjiZPDEiROkpKQY7FgexsHDk25jJvLSd7/QcfiLWDk6kZeZwbG1K/nplTGY7r7FLy0W8krTVzBXmHMp5RIvhL7AG/vf4HbW7Xu2p6xVC58/fseyfXt0+fnETH6VlMWLq3cxitptYeweGPQL2PtATiJseQ0WdYBru6A6H1s1oVbnEBb2FqDD1rZFqZPC+Ph4tm3bBkCXLl1KnxQK5RbQqu3jmRQKFUqj0fDVV1/RunVr3NzccHBwuOurvMp1KS8mJobNmzcTFRVFYWHhXc/NmTOn3MFUpIULF7Jw4cJ74hOEakuVDb89C/HnwcIRRm4GpzqGjkp4jEkyCfN6DpjXc6AoKY+co3HknUmkKCGP9PXXyQy9hWVrdyzbuuPk1B0nxydJSd3HrVvzadRoLs2bN8fb2/uR3sSqirmVNa37PUuL3v25fuIIZ7ZvIuHGNS4f2MPlA3uo1SiIH7p9xhbdEdbdWM+eqD0ciD7A0PpDGR80Hjszu+Jtya2t8f5hEYmzPif9t99I/noOhTcjcJs5A1lJ/eKqA0mChgOgXi849RMc+gKSw2HlIPB9Arp/DB5NDR1ljXX9xmcUFERjZuZJ3YD3S73e+fPnUavVBAQEGKyFzOMsOzUFnU6LjVM1m28sGNyMGTNYsmQJU6ZM4YMPPuD9998nMjKSjRs3Mm3atHJvt8xDSffu3Uvfvn3x8/PjypUrNGrUiMjISHQ6Hc2bN2ffvn3lDqYyGN3tYiO5jS4YsZIaT6/9HVY8C1FHQW4K4/aCW2PDxikYLwO+zmjzisg9nUjO0Tg0Gfqhl8jAvJETitaQpNuIr+9kFAqrB2+oGoi7Fs6ZbZu4fuIoOp2+wqq9uyfendqy0ew4h5KOAGBtYs1LQS8xvMFwlPK7E7+0334j8bNZoNFg3qIFXvPnoTBEolzR50x+Ovw5B04sAs3fF2iDhsCTH+qrKAsVJiVlPxcujgUkmjf7DXv74FKvq9PpOHXqFI0aNcLCwqJsOxafZx5J+JGD7Fo0j9pBzej/1geGDqdqGMk5Y3S5QTn4+/szb948evfujbW1NefPny9+7Pjx46xcubJc2y3zUNJ3332XqVOncunSJczMzFi3bh3R0dF06tRJ9DcUhIogk8P+T+HgF38/oIPfh+mTQtCXjRdJoWCkZBYmWD/hhdvbrXB8rgFKX1vQQv7FFLKXpGCzMwTVpTx06rtbVahUKoqKigwUdfl41G1AnzfeYez8JbTsMxBTC0vS42O5+MdaGqxJ572CoTRW1iW7KJuvz3xN3419Cb0VetewUYcRI/D+4Qdk1tbknzlD5OAhqG7cMOBRVRBze3jqY3jlNDT++7PBxVUwvwXsng4FmYaNr4YoKkon/Mq7AHh7jypTUgj6ooGtW7cue1IoPDKX2n5o1EXcPH2cqL8uGjocoZpJSEigcWP9Z0ErKysyM/WvqU8//XTx8PDyKHNiGB4ezsiRIwFQKBTk5+djZWXFzJkzmT17drkDEQThb53ehi7v/ys5lOCfuwzNX4A+3xoyOkEoFUkmYd7ICZfxQbi82gyLFq6gkCiKySF91VXiZp8gbs8ONNmFXLlyhQULFnDkyBFDh10uNs4udHpuNC999zNPjhqPnZs7qtxc4vYdo+XmIl6J7kJAviuxObG8degtntv+HOeSzhWvb9WhPT5//I5JrVoUxcQQOXQYOX/+acAjqkD2teGZJTBuP/h0BI0KjnwLc5vC8UWgFtM9HsX1G7MpLEzGwqIO/n5TSrVOZGQk69evR/V3MSXBMBy9vGnSvScAB35dglarMXBEQnXi5eVFfHw8oL97+E+P+VOnTmFqem/rpNIqc2JoaWlZPG/P3d2dmzdvFj9nzAUEBMEoJVyCK9vg3G9wbCHs+wS2TYWUa/qG9fs/haaH9H3C2r8GfecZOmJBKDOlhxUOg+ri/k5rbJ6qDbZwu/5MwqXJ3Fq4iow/o8jOzubw4cNkZGQYOtxyU5pb0CykD6O+WUS/tz7EO7AxOq2WnEsRtN9vxugLTQlIsuNS0kVG7hjJmwfeJCorCgBTf398Vv2BRcuWaHNyiB4/gbRfV1TvojT/5tkcXtgCw/4Ap7qQnwah/4PvgiFskyhQU05+vq/h6NiZhoFfIpc/vGx9dnY2a9eu5eLFi/xZUy4+VGNtnx2OqYUlyZERhB00rqlYgnEbMGAAe/fuBWDy5Ml8+OGHBAQEMHLkSEaPHl3u7Za5+EybNm04fPgwDRo0oFevXkyZMoVLly6xfv162rRpU+5ABKFaKSqAggz9PJrCXPBqeee5cysg/uLfz2fcWS4/A9QF8G70nWX3fwZXt99/P3IlUKj/t/vMyjgSQagycislNk/WwvoJL1KP+5BfeI3EesvwPvEBbko7EtQZ7FizhaGjn0OSl9wLsDqQyeTUaRlMnZbBJEVGcHb7JsIPH0Qbm077WFvaWjtz1jOJg0V72B+9n6H1hjKhyQRs7e2ptfQn4j+aQeb69SR++imqiJu4vfcekomJoQ/r0UkS1OsJdbrDueX6+dRpEbB6JHgHw1OfgPdj1tftEZmZudO0yU+lWlaj0bB27VpycnJwdnbmiSeeqOTohIexsLGlzcAhHFyxlMN/LKdu2w4ozcrWg1J4PH3++efF/x8yZAi1atXi2LFjBAQE0KdPn3Jvt8yJ4Zw5c8jJyQH0FXFycnJYtWoVAQEBRlORVBBKRV1YcvJWkKEvltBu8p1lt02FyD/vPK8uuPOc3BQ+TLrz/ZVtD072ivLB5O8Xfud6kJME5nZgZqf/19xe//+oY/rG0VoJKNQPK/2nII0gVGOSQkb9VjM5dvwoBba3yG9zhranAtkoneBq7E3OfL6Deh0aY9nKDZlF9U6IXHz8CHn5DToOf5Hzu7ZxYdd28rOzaHnFjuY37Lnimcmm7D/YdHMT44PGM6z+MNw//QRTfz+SvvqajN//oOj2bTy//Ra5jY2hD6diyBXQcrR+7uGReXBsAUSfgJ+6Q2A/6DodHEXbhPvR6XRkZZ3D1rbkXpn3s2/fPm7fvo1SqWTIkCEoq2sF3BqmaUgfLuzeQUZiPKc2r6P94OcMHZJQDbVt25a2bds+8nbKlBhqNBpiYmIICgoC9MNKFy1a9MhBCEK5aTX6Yi3/iDoOmTF3J3n//F+SYOhvd5Zd3u9OQZf/kptC21f06wBkxULylbuXkWRgZqtP4tQqUPw9prtBH3Cuf3eS9+/ET/6vsd/dPip5/we/0CeFXd6Hrw/DlA76YaUgkkOhRjA1dcbffwrXrs0gweFXWr+xjaC1mVxIuMIR1WVcdliStScKi2YuWLX3wMTV0tAhPxJLO3vaD36O4P6DCT98gDPbNpIaE0XgbRsa3LYh2iWPFfHz+T38d15v+To9Ro9G6etL7NS3yD16jMghQ/Fe9D3K2rUNfSgVx9QannxfnyTu/xTO/6YfVnplO7QaA0+8DZaOho7S6MTG/c7Vqx/i5TWSenWnl2qdK1euFM/h7devH05OTpUZolAGChMTnhgxim3zvkCSRHtx4f42l6Gia9++fcu1jzIlhnK5nKeeeorw8HDs7OzKtUNBuIdWo69Q908CpynUN0z+x9EF+n5Y+Rl/L5dx506f0hKmXr2z7J4ZD072/s3cDpDAzOY/yZu9/v9ajf7KNsATUyF4/N139ZTWICvhRbzp8DL/CO5y8Av9h6Qu7+uTwK8P30kGRXIo1CBeniOIj19LdvZlIpLm0GPkx1ybf5v0/Fyu2SdTP92V3JMJ5J5MwLSOHVbtPTCr54Akq77DTBVKJY2ffIpGXboTdekCZ7Zv5Na509RKsqBWkgWp4YUsuvoRK4KWMzX4ber/toLolydReOsWkYOH4DlvHpbBNWy4pY079FsAbSbqK5be2K1vc3H+d+j4JgRPAJOHz597HOTlRXL9+mcAmJvXKtU6aWlpbNiwAYDg4GAaNmxYafEJ5VOndVvGzF+CtYNI2IX769+/f6mWkyQJjaZ8xYzKPJS0UaNGRERE4OvrW64dCjVYQSbkpd07LDM/A2QKaP/qnWXXvAixZyA/E1T/KVtu6QJvXb/z/ZVt90/2NIX6ogX/3NnzaKa/g/hPcvff4Zn/XvaZn/R3+f59x/F+PFs8fJmKotXcSQr/7Z/vReUyoYaQJDn16n3M6dPPkJCwEQ/3wXTt2pWtW7eS10CJc6PGZB+JoyAsFdWNDFQ3MlA4mmHZzgPLFq7IzMr8FmY0JEmidlBTagc1JTU2mnM7NnP54F4cs6DjRSfyr6Tz1YlXcGvfnMk/fYPinc8ouHiRqDFjcP9oOnbPPmvoQ6h4rg3hubUQcQB2faAvzrVnOpxaou9/2HhQyRfjHhM6nYaw8LfQavOxswvG2+uFUq2Xm5uLQqHAxcWF7t27V3KUQnlIkiSSQuGhtFrtwxd6RGV+V/3kk0+YOnUqH3/8MS1atMDS8u7hPTY1ZQ7E40ing6I8/V24f1zfox9GmZ/+n/l4GfphlIOX3Vl2aQgkhZW8bUuXuxPD7ETIiLp7GRNLfRJn5XL3481GQJ0n/zMs81+J37+FfFbqw0VppH2burx7/+fEnUKhhrG1aYKn5zAyM88hl5vTvHkjXF1d8fbWN0E39bNDnVZAzvE4ck8mok4tIHNLBFm7bmPZ0hWrdh4oHKt3sQZHT2+6jZ1E+6EjubgnlLOhmyE9nWbX7dDcvMnnnq/j/1w7nt3nSn7obuI/+BBVxC1cpryJJC/Fha3qxq8zvHRI3/dw38eQGQ0bXoLjC6H7x+DXydARGsTtqCVkZp5FLrcisMGXpR526O3tzfjx4wF9mzHBuMVfv0rYn/t5ctR4JKn6jo4Qql5GRsYjj+gs9SvEzJkzmTJlCr169QL0Y1f/fcLqdLpHunVZY+2fpb8jVdIH+oNf/H136AGJQFnpdPoqmf9O5CQJfDrcWWbvx5B+S//cXQlfpn7C/yun7iy7exokXS55X5b/SeDM7UFhfu/cOnN7sPzPlbCQz0CjvpPcmdmC4j4T4ZuJidiCUJMF1HkXSVIik+nfkv5JCv+hcDDDrpcfNl1rk3cukZwjcaiT88k5EkfO0TjM6jlg1d4D0zp21fqDlLmVNcH9B9Hy6QFcO3GEo5v+ION2NHWiLeG3C3znXESb3i2pv+00aUuXUnjrFh5ffoncqnrPvyyRTAZNh0HD/nD8ezj8DcRfgOV9IeApfZVmlwaGjrLKZOdcISLiGwDqBnyIubnnQ9cpLCwsLjAjLtpXDwW5Oaz5+H2KVAV4NWhIvbYdDR2SYKRmz56Nj48PQ4YMAWDQoEGsW7cOd3d3tm/fTpMmTcq13VInhjNmzGDChAns37+/XDsqyaFDh/jyyy85c+YM8fHxbNiw4a7xszqdjunTp7N48WIyMjJo374933//PQEBARUWQ6WTyUueF/bveWT3k51w/6GZZrbQ7pU7y/7yNCSF65/Xqu/ejlPdu5O9q9vvf2cvP+Pu72u3Azvvu+fe/ZPwWfynKMDIzXfm5D2MR7PSLScIQo0nl9999/6fC42ZmZmcPXuWzp07I0kSMlM5Vm08sGztjupGBjlHYim4mk7BlTQKrqShcLXAqp0HFs1ckCmr7500uUJBg/adqN/uCeKuhrNr3U+kXrqKa7IJt0jneisfgm5n4nXwAEUjRuD93UJMPB+eKFRLJub6eYbNR8LB2XB6KVzfBTf2QLPnoct7YO1m6CgrlVarJixsCjpdEU5O3XB3f+ah68THx7NixQp69eol5hRWI2aWVrTsM5Bja1dy6Ldf8G8RjEJUjxVKsGjRIn77TV9Qcffu3ezZs4fQ0FBWr17NW2+9VdzwvqxKnRj+02S3U6eKG8KRm5tLkyZNGD16NAMHDrzn+S+++IJ58+axbNkyfH19+fDDD+nRowdhYWGYmVWTiej/LRpinwQrntVPrvdqBak34LfB+oTOrhY8s+TOuouf1A/jLIlT3bsTw7w0yEu5873M5M7dOge/u9dtMxFUOfcWW/kn4fu33l+V/lhLmxQKgiCUQKNRcTvqR3Jzr1O/3tf8+OOP5Obm4uDgcNfVT0kmYVbXHrO69hQl55FzNI68M4moE/PI2HCDzNBILFu7YdXWHYVdNXmvKIEkSXjWD2TU+1+TlhjH+lXzSDlxCZNCOWHuDlxzsaVWSjLZQ4dSd/58zJs2NXTIlcfSCXp9Ca3Hw96PIHwLnF0Gl9bqWwu1mwymVoaOslLIZAp8fV7lZsQc6tf/9KF3xfPz81m9ejW5ubmcP3+ewMDAan0n/XHTqs9ALu0NJSs5kbM7NtO6Xw2cTyw8soSEhOLRNVu3bmXw4ME89dRT+Pj4EBwcXO7tlumTfEW/sPTs2ZOePXuW+JxOp+Pbb7/lgw8+oF+/fgAsX74cV1dXNm7cyNChQys0lkr17+TQB7gRrv8+5pT+6x/56XevZ+Go75f33wIq5nZge/dQKwb+8Hf7hL+fN7G4U2Tlv5qPfLTjEQRBqAQFBdFERi5Ap1Pj5taPNm3asHfvXnbv3k39+vUxNTW9Zx0TZwvs+9XBtocPuacSyTkWhyatgJyDMeT8GYN5Qyes2nugrG1TrT8cO7h6MPbVz8nISmX5qtmkH72EVZ6cCFd7bul0XH7nDVoPHUmdF0cZOtTK5VQHhqzQtyba9YH+PfTg53DmZ/3dw6bP1ciLlC4uPXB27v7QeYU6nY5NmzaRnp6Ora0tAwYMqNbn/ePIxMyMDsNeIPS7bzixYRWNOnfDwtbO0GEJRsbe3p7o6Gi8vb0JDQ3lk08+AfSvAY8yra9Mr55169Z96AtMWlpauYP5t1u3bpGQkEC3bt2KH7O1tSU4OJhjx47dNzFUqVSoVKri77OzsysknkfW6W049KW+iqYkgxYv3nu3zsr17nXGH7p/cvdfbo0rNl5BEIQqZmlZh1reY7gd9QPXrs2kdeutnDt3jrS0NA4dOvTAiooyMwXWHT2xau9BQXgaOUdiUUVkkn8phfxLKZh4WumHmTZxRlJU38qWdjaOvDruCxKGJbB4wyxyDl/GJcOMeFtLNu1Yh9Ph3bQZ8zIBwW2RlabicnVVqw2M2Q1hG2HPR5AeCVte089H7D5TPw+xmidEGk0eanUupqbOAKUqNnP06FGuXLmCXC5n8ODBWFgYaZE14YECO3bhXOhWEiOuc2T1CrqPe+XhKwmPlYEDBzJ8+HACAgJITU0tvtF27tw56tSpU+7tSrp/xog+hEwm49tvv8XW1vaBy73wQunKJ98TiCTdNcfw6NGjtG/fnri4ONzd3YuXGzx4MJIksWrVqhK389FHHzFjxox7Ho/u1g0vcwNWrnO7DR6RoAHkQJwPJNSgRsVC5Tl5ElrXsL5lQuWqxueMRqHl2MgbqGyK8DnphOavAFbWqYNMq+Xl8HCc/nXh72EKTZ3JdWhGrm2gfng9IFPnYpl+Hqu0C8g1uZV1GFXmqk0h3/ll4nVdiVxthe7vHo/WWh3NNTIaq8GUUiRI1ficQdKCUxy43wbF33Pss+0gxg/yrQ0a2qO40iWOpLpZBO7yxOnWw48j0sqKZQEB6CSJ3lFRtEpJeeg6j6Q6nzPVQIxMxypTHZIOXlBJOOqq94UOwGjOmZj8fLz37CE6OhovL69SrbNw4UK+/PJLEhISaNKkCfPnz6f1fY6lqKiIWbNmsWzZMmJjY6lXrx6zZ88mJCSkeJlZs2axfv16rly5grm5Oe3atWP27NnUq1evVPEUFRUxd+5coqOjefHFF2nWTF+745tvvsHa2pqxY8eWajv/VabEMCEhARcXl4cvXJ5AKigx/O8dw9jYWAIDA8v0y69w/y408/VhmNLh7gbmgvAgffvC5s2GjkKoTqr5OZOcvIuLlyYiSSYEt97Kxo0nuH79OnXq1GHEiBFlHhqnyS0i92QCucfi0GQV6h+US1gEOeuHmXpV3+ThH0dij7B//oc0PFFAtIMtRQr93UITM3MadelG85C+2Lm5l7huVkoS+WPGYP7TT9g4Vc57fJXIz4A/v4YTP4Dm788BQUP0PRDtvB+4qrFJTT3E+Qv6YcHNmi7HwaH9A5fPyclh0aJF5OTkEBQUVDVDSKv560x1sOen73H19adh5641YwSAkZwzMTExeHt7lzo3WLVqFSNHjmTRokUEBwfz7bffsmbNGq5evVpiXvS///2PFStWsHjxYurXr8/OnTt58803OXr0aHECFxISwtChQ2nVqhVqtZr33nuPv/76i7CwsHtaAValUieGcrmc+Pj4KksMIyIi8Pf359y5czT914T6Tp060bRpU+bOnVuq7Zb1l1/h/p0Udnr7zh/Ffx8XhPsxkhdSoRqp5ueMTqfj4sWXSEndh71dG7y9v+X7779Hq9UyfPhw6tatW77tarTk/5VKztE4Cm9nFT+urG2DVXsPzBs6Icmr71V5jVbDrk3fYv/xUjLNLLnpakf+PxUNJYk6LYNp0as/ng0aFicNWSlJLH19PJqiIuQmJoz+9ofqnRyCvkfu3o/h0mr993JTaDMBOrx5b4E1I1RUlMmJEz1RFSbi5TWSenWnP3QdjUbDnj17uHnzJmPHji1uU1GpqvnrjGAARnLOlDU3CA4OplWrVixYsADQN5r39vZm8uTJvPPOO/cs7+Hhwfvvv8+kSZOKH3vmmWcwNzdnxYoVJe4jOTkZFxcXDh48yBNPPFGq47h+/Tr79+8nKSkJrVZ713PTpk0r1Tb+q8xVSauKr68vbm5u7N27tzgxzMrK4sSJE0ycOLFKY3kkWk3Jyd8/32tF30dBEIR/kySJunWnkXbiKJlZZ6lrnkaHDh3QarXUrl3+IfiSXIZFE2csmjhTGJ2tr2Z6MZnC21mk3c5CbqvEsq0Hlq3ckFuaVOARVQ25TE7PAVPIbPI018eOwjs8mjg7cw43sMM6z4Ibp45z49RxXHz8adG7H/XadSQ/KwtNUREAmqIi8rOyqn9iaFcLnlmsr8C9expE/glH5sLZX6HT/6Dl6Pv3zTUCV699hKowEQsLX+r4l+7CsVwup0ePHnf1LhRqlqJCFTKZHLmi5hVXMpTs7Gyysu5cJDQ1Nb2nyFlhYSFnzpzh3Xfv9ByXyWR069aNY8eOlbhdlUp1T/cEc3NzDh8+fN9YMjMzAXBwcChV7IsXL2bixIk4OTnh5uZ21wgBSZIqPzH8byZaEXJycrhx40bx97du3eL8+fM4ODhQq1YtXn/9dT755BMCAgKK21V4eHjc1evQ6D2oeb24UygIglAic3NvAgO/xNqqIRYWtXnyydLNuygtpbc1DkPqYdvTl5wT8eSeiEeTWUhWaCRZe6KwbOaCVXsPTNyqX/N4W796NNsYSsSrr+B5/BSDjuWzqqMpSXb21ImzJinyJjsWzmH/8iV4B95duCwtNhoAcxub6p8gejaHF7bAtZ36BDHlKoT+D07+AF2nQ2A/oytQk5i4jcTEzYCMwAZfIZc/uDZCQkICzs7OyOX6YYYiKayZrp88yv5fFtOq3zM06/G0ocOpMQIDA+/6fvr06Xz00Ud3PZaSkoJGo8HV9e4Cka6urly5cqXE7fbo0YM5c+bwxBNP4O/vz969e1m/fv19q4VqtVpef/112rdvT6NGjUoV+yeffMKnn37K//73v1ItX1oGvexw+vRpunTpUvz9m2++CegL2Pzyyy+8/fbb5Obm8tJLL5GRkUGHDh0IDQ2tPj0MBUEQhHJzdelV4uNarZaioqIS21eUldxGiW332th08SbvQjI5R2Ipissl91QCuacSMPW3xaq9J2b1HZBkxpVEPIjcxoY6S5aS+Nks0leuZNifKvY3TmTZk6k0jXWh7nUzCrKzuH7iyJ2VJIntC77Wr19ThpVKEtQLgTrd4NyvsP8zSIuANS+AV2t46hOoVf6eXxVJpUriylX9VX4fn4nY2jZ94PJpaWn8/PPPuLi4MHToUIPOSxIqV25GBtmpyRxds5IG7TtjZlUze3ZWtbCwMDw9PYu/r4j3FIC5c+cybtw46tevjyRJ+Pv7M2rUKJYuXVri8pMmTeKvv/564B3F/0pPT2fQoEEVEu+/GbRmd+fOndHpdPd8/fLLL4D+VujMmTNJSEigoKCAPXv2lHtuiSAIglB9ZWaeJTs7nMTERJYuXcrWrVsrdPuSQoZlC1dcJjfDeXwQ5o2dQALVzUxSl4eR8NVpsg/Hoi1QV+h+K5OkUOA27UNcP/wA5HK6XNIxfbOCaJv7tJX615SRf4aV1hhyBbQcBa+eg07v6Hv9xpyEpU/Bquch9aahI0Qut8TVtRfW1g3x9Xlwe4KioiJWrVpVXGxPXDCv2YK69sDRqxYF2Vkc31By8UWh7KytrbGxsSn+KikxdHJyQi6Xk5iYeNfjiYmJuLm5lbhdZ2dnNm7cSG5uLrdv3+bKlStYWVnh5+d3z7KvvPIKW7duZf/+/WWqhTJo0CB27dpV6uVLSwxUFgRBEIxaXNwawq+8g7V1Yzw95hMTE0NMTAwtW7Z8pDmHJZEkCVNfW0x9bVFnFJBzLJ7ckwlo0grI3BpB1q7bWLZ0xbKdByZOBmyBVAYOI0agrO1D7Ouv43srh+kFjhxy1SH7u/y9Dh0SUvG/AHKFAnMbG0OGXTlMrfRTPFq8CAc+g3MrIHwzXN0OLcfo5yBaOhokNIXCkvr1PkajKUAme/CQ0O3bt5OYmIiFhQWDBg0qHkoq1EwyuZxOz49h/azpnNuxhSbde2Lv5mHosB4LSqWSFi1asHfv3uKpbFqtlr179/LKKw++gGNmZoanpydFRUWsW7eOwYMHFz+n0+mYPHkyGzZs4MCBA/j6+pYprjp16vDhhx9y/PhxGjdujInJ3fPiX3311TJt7x8iMRQEQRCMmqNjZ+RyK7KzL6HTHaJFixacOXOGHTt28NJLLyGTVc7gF4WdGXY9fbHpWou8c0nkHIlDnZRHztE4co7GYVbPHqv2npgG2FV+a4BHZNWhPT6r/iB6wkRsoqPpmpJJoUJGjqmSC7X1c2ckJJrcTsRKVYipJMe8sPrcHS0zG3foOx+CJ8Ke6XB9l37u4YXfoeObEDwBTKom8S8qykKhsCpuYC+XP/ju39mzZzl37hySJPHss89iUxMTeOEevk1b4NOkOZEXzvLnb7/Qd8p7hg7psfHmm2/ywgsv0LJlS1q3bs23335Lbm4uo0bpW8qMHDkST09PZs2aBcCJEyeIjY2ladOmxMbG8tFHH6HVann77Tu1RSZNmsTKlSvZtGkT1tbWJCQkAGBra4t5Kfqu//jjj1hZWXHw4EEOHjx413OSJInEUBAEQaiZTE2d8fefwrVrM7gZ8SUdOm7m8uXLJCQkcObMGVq1alWp+5cp5VgFu2PZ2g3VjQxyjsRRcDWNgqvpFFxNR+FijlU7TyyauyBTGu+dG1N/f3xWryJq9BgID8e86N5lrFSF2Obrez2q09Mx8ajhdyVcA2HEGog4ALs+gIRLsOcjOLkEun4IjQdDJV14ANDpNFy8+BKSzITABl9gZlZyr8l/xMfHs337dgC6dOlS4tA0oebq9PwYbl88z/WTR4kOu3RP8SihcgwZMoTk5GSmTZtGQkICTZs2JTQ0tLggTVRU1F0XKAsKCvjggw+IiIjAysqKXr168euvv2JnZ1e8zPfffw/op9X9288//8yLL7740Jhu3br1yMdVEoPOMRQEQRCE0vDyHIG1dUPU6mzi4uYWFy7bt28feXl5VRKDJEmYBdjj9GJD3Ka0xKqdB5KpHHVSPhkbbxD/2Ukytt9CnV5QJfGUh8LeHrfpd/riKdVaZH9XHZdptSjVdyqQzz83n6isqCqP0SD8OsNLh2DAD2DjBVkxsGE8/NhJnzRWkqjon8nIPEVW1gV0uhIy9X/R6XRs2rQJtVpNQEAAHTp0qLS4BOPk5F2boG49ALh98ZyBo3m8vPLKK9y+fRuVSsWJEycIDr5TtOrAgQPF9VFA33M9LCyMgoICUlJSWL58OR7/uchWUo0VnU5XqqSwMok7hoIgCILRkyQ59et9wqnTA0lI2EiTJs/g4uJCUlIS+/fvp3fv3lUaj8LJHLu+/tg8VZvc04nkHItDk1pAzqEYcv6MwTzQEav2nih9bYxumKlkcuet37xITacr0RQqZCjVWsyL7gwfPRx7mJUb+9KvTj/GB43Hw6qG3z2UyaDJUH0bi+Pfw+FvIOEiLO8HAU9B95ng0qDCdpeTc42bN/VVYAMC3sfcvNYDl/9n6OiuXbvo379/pQ2hFoxbu8HPUa/dE+JuoUBMTAybN28mKiqKwsLCu56bM2dOubYpEkNBEAShWrCxCcLTczixsb9x/foMQkLms3z5SuLi4lCr1SgM0PhZZqbAuoMnVu08KLiSRs7ROFQ3Msi/nEr+5VRM3C2xau+JRRNnJBMj+SCvu/tb8yJ1icNKm7k045buPOuvr2fzzc08G/As44LG4WJRzVtYPIyJuX6eYfORcPALOP2Tfg7ijT3Q7Dno8j5Yl1yNsLS02kLCwqai0xXi6NgFD/fBD18JfYXE4cOHP9K+herNwsYWC5EUPvb27t1L37598fPz48qVKzRq1IjIyEh0Oh3Nmzcv93aN5F1KEARBEB7O328KlpYB+NR+CV/fAJ5//nnGjBljkKTw3ySZhHmgI85jG+P6RnMsW7shmcgois8lfe014j8/SeauSDRZKoPGCaDWla6ozJQmr/Nrz18Jdg9GrVXzx9U/6LW+F1+d+oq0gvu0vKhJLJ2g1xcw6SQ06AM6LZxdDvOawf5ZoMop96ZvRS4kO+cyCoUdDep/9sC7yrdv3660+URC9ZadlsL1U8cMHYZgAO+++y5Tp07l0qVLmJmZsW7dOqKjo+nUqdMj9TcUiaEgCIJQbZiY2BLcejvu7s8UNw42tiF1Jq6W2A8MwP3d1tiE+CC3NUWbW0T2vmjiPz9F6h9XKIzONlh8ClnpkujEN6fifzmdxd0Xs7THUpq5NEOlUbEsbBkh60KYd3YemarMSo7WCDj6w5AVMHoneLWCojw4+DnMbw6nfwZN2aq3ZmZd4PZtfeGJ+vU/xtT0/ndgs7OzWb16NcuXL+fq1auPdBhCzZIaG83S18ezfd5XZKemGDocoYqFh4czcuRIABQKBfn5+VhZWTFz5kxmz55d7u0a17tpBVq4cCGBgYH3VPsRBEEQqrd/yvoDaDT5ABQWFnL48OF75lkYkszCBJvO3ri93QqHEfVR+tiAVkf++WSSFp4n6bvz5F1IQqfRPnxjBqBOSCBm4stEjx1HUI49y0KW8X237wl0DCRfnc/iS4vpua4nP1z4gdyiXEOHW/lqtYExu2HQMrD3hZxE2Po6LGoPV0NBp3voJgBkkgnm5r64uvbF1aXXfZfTaDSsXbuW3NxcnJycytznTKjZHDy8cPX1R12o4vDvywwdjlDFLC0ti9/v3N3duXnzZvFzKSnlv1BQYxPDSZMmERYWxoEDBwwdiiAIglAJkpJCOXasK8nJe1i5ciV79uzhzz//NHRY95DkEhaNnXGZ0ASXV5pi0dwF5BKFUdmk/X6VhNmnyNofhSb3wVUpK4rC3h5J+eAG6pJSid2woUgmJuQeOUJEv/4kfvoZbS0b8UfvP5jbZS4B9gFkF2Wz4PwCQtaF8Mtfv5Cvzq+SYzAYSYKG/fXDS0M+B3N7SL4Cvw+BZX0g7uGVIq2tA2ndajP168184HJ79+7l9u3bKJVKhgwZgvIhvzPh8SJJEp2fHwtA2J/7Sbh53cARCVWpTZs2HD58GIBevXoxZcoUPv30U0aPHk2bNm3Kvd0amxgKgiAINVtW1kVUhYlcuz6TVq2aAHD06FHS0ox3/pvSyxqHwfVwf6c1Nt1qIbMyQZNVSNbO28TPOkHa2msUxlfu3TcTDw/8Q3fgs27tna9a3nd97x+6A/fp0/HbthWrbl1BoyF9xQpu9gghfeVKung8wdo+a/nyiS/xsfEhQ5XB12e+ptf6XvwW/huFGuO5c1spFEpoMxFePQ/tXwO5KUT+CT92hnXjIOPeNh9a7Z35pXK5KQqF9X03Hx4eztGjRwHo168fTk5OFX0EQg3gVqcuDTrqW/ccWL4YXSnvWgvV35w5c4pbZsyYMYOuXbuyatUqfHx8+Omnn8q9XZEYCoIgCNWSr+8rmJl6UFAQi6npHvz8/NBoNOzcudPQoT2U3FqJTbfauL/TGvsh9TDxsgK1jrzTiSTNPUvyjxfJv5yCTls5H/RMPDwwb9jwzpeZ2V3f/9PYXlmrFt4LFlDr56WYBgSgycwk8eNPuDVgAPnHjhPiG8KGfhv4pP0neFp5kpKfwucnP6f3ht6svbaWIm3V3AU1GHM7fRuLyachaIj+sUurYX5L2PUh5GcAoFZnc/xECJGRi9DpNA/cZFpaGhs3bgT0dwUaNmxYefEL1V7HYS+gUJoSeyWM6yePGjocoQpoNBpiYmKoVUvf4sbS0pJFixZx8eJF1q1bR+3atcu9bZEYCoIgCNWSXG5B3brTAIiK/okuXeojk8m4evUq169Xj2FVkkKGZTMXXCY1xXliE8yDnEAGqohMUn8NJ+Gr02T/GYM2v2wFTiqaZdu2+G5Yj9v0acjt7FBdv0HU6DFEvzwJbXQs/er0Y0v/LXzY5kNcLFxIyE1gxrEZ9N3Qly03t6DRPjgZqvbsasHAH+GlA+DTETQqODoP5jWF499z7epH5OdHERe/6q47hyW5ePEiKpUKb29vunfvXiXhC9WXtaMTLfsMBODQbz+jLqrhF2ME5HI5Tz31FOnp6RW+bZEYCoIgCNWWk1M3nByfRKcrIin5W1q3bgVAaGgoarVhk6mykCQJ09o2OA5vgNvbrbHu7IXMQoEmrYDMbbeIn3WC9I03KErOM1yMCgX2w4bhvzMU+5HPg1xOzr593Hy6D4lffoksX8XgeoPZPnA7/2v1PxzMHIjJieG9w+8xYPMAQiND0eqMs9BOhfFoBi9sgeGrwbk+5KeTdGoa8YkbAYnABl8hl1s8cBOdOnWiT58+DBo0CLlcXiVhC9Vbq74DsXVxpW5we3SaGn4RRgCgUaNGREREVPh2RWIoCIIgVFuSJFG37jRkMjMyMk4Q2DAHS0tLUlNTOXnypKHDKxeFnSm2Ib64vdMa+4EBKFwt0BVqyT0eT+LXZ0he+hcFV9MqbZjpw8htbXF77z38Nm/CskMHKCoi7ael3OwRQsbatShR8Fzgc+wYuIPXm7+OrakttzJv8dbBtxi8ZTAHog/U7LlQkgR1e8CEIxT2/owrdW0AqB2Vi93adyDqxENWl2jRogU2NjZVEa1QAyjNzHlxziKeGDEKEzMzQ4cjVIFPPvmEqVOnsnXrVuLj48nKyrrrq7xEYigIgiBUa+bm3vj6TAIgPz+cbt260aBBAxo0aGDgyB6NTCnHsrUbrq83x2lsY8waOIAEqmvppPx8mcRvzpBzLA6tyjB3CEz9/fFe/CNei75H6eODJjWV+A8+JHLQYPJOn8bCxIIxjccQOjCUl5u+jJWJFVfTrzJ532RGbB/B0dijNTpB1MnkhJtepMgErHDALw6IOQlLn4JVz0HqnfLy8fHxrFmzhvz8Gl7VVag0ChMTQ4cgVIGZM2eSm5tLr169uHDhAn379sXLywt7e3vs7e2xs7PD3t6+3NsvXZdbQRAEQTBitWqNxda2Jfb2rdHpdDRr1szQIVUYSZIwq2OHWR071Kn55ByNI/d0IurkfDI23SRzZySWrdywauuBwqFq7xZIkoR1585YtWtH2m8rSfnuOwrCwrj93PPY9OqJy9SpWHl4MLHJRIbXH84vl3/ht/DfuJRyifF7xtPcpTmTm02mpVvLKo27KiQkrCclZQ+SZEJgq1+RtbKD/Z/BuV8hfAtc3QEtR5Mf/DqrV68lPT0dMzMz+vTpY+jQhWos4cY1Dv62lK6jJ+LkXf4iJIJxmjFjBhMmTGD//v2Vsn2RGAqCIAjVnkymxN6+NaBPVv6tqKgIkxpyNV3haI5dH39snqpN3pkkco7GoU7JJ+fPWHIOx2LWwBGr9h6Y+tne83OoTJJSieOoF7Ht15fkufPIWL2arO07yN67D8cxY3AcOwZbC1tea/4azzV4jp/++olVV1ZxNukso3aOoq17W15p9gpBzkFVFnNl02jykSQlfn6vY21VX/9g33n6Nhe7p8H1XehO/sjG0ymka2tjZ2tL165dDRu0UO2d2LiGmLC/OLRiKQPfnWHocIQK9s8oi06dOlXK9sVQUkEQBKFGKSiI48aNL8jOzmT9+vX8/PPPaLU1q+iJzFSBVTsPXN9sgeOLDTENsAMdFISlkrL4Eklzz5F7KgFdUdUOM1U4OOA+4yN8N6zHonVrdCoVKd99x82evcjcsgWdToejuSNvt3qb7QO3M6TeEBQyBcfijzFi+wgm753MlbQrVRpzZfHyeo42wdupXWvs3U+4NIARa2DkZo5YPc1VbW3kqBmkXofFtU1Qw85VoWo98dwoZHIFt86fIfL8GUOHI1SCyrzoJxJDQRAEocbQags5fWYQt6N+IClpLVevXiUuLo7z588bOrRKIckkzOs74DymMa5vtsAy2A3JREZRQi7p664T//lJMndGosl8cIuEimZWvz61lv2C59y5mHh6ok5MJO6tt7k9bDj5ly4B4GrpygdtPmBL/y30r9MfmSTjQMwBBm0ZxJQDU4jIqPiKe1Xh3/MmLSx8kaSSK4tGymqzN7cuAD3NLuCZewk2ToAfn4CblTNMTKj57N08aBbyNAAHfv0JrahSWuPUrVsXBweHB36VlxhKKgiCINQYMpmS2rUncO3aR8TEzueJJz5j9+6T7NmzhwYNGmBubm7oECuNiYsF9gMCsO3hQ+7pRHKOxqHJUJG9P5rsgzGYN3bSDzOtpa92mbU3iqzdt7HpXhub/37ftdYjxyNJEjY9nsKqcyfSfv6FlB9/JP/8eSIHDca2f3+c33gDE1cXvKy9+Lj9x4xpNIbvL3zPjls72HV7F3ui9tDbtzcTm0zE28b7keOpCrm5N/nr8uvUr/8JtjZN7rtcdnY2a9asQafTERQURIun34aTP8CfcyDhEvzaH+p0h+4zwTWw6g5AqBHaDBzK5UP7SI2J4uLenTR9qpehQxIq0IwZM7C1ta2UbUu6mlwSDIiJicHb25vo6Gi8vLwMHQ707QubNxs6CqE6EeeMUFaP+Tmj02k4dXog2dl/4erSlwMH/ElJSSE4OJiePXsaOrwqo9PoKAhPJftILIW37pQvN/G2RmGrJP+v1OLHTHNuo7K6U6iiopLDfytKTCJ5zhwyN20CQLKwwGn8eBxefAGZqWnxctfTr7Pw/EL2Ru0FQC7J6V+nP+ODxuNu5V6hMVUkrbaI02cGkZ19CUfHLjRtsuS+yyYkJLBy5UrMzMwYO3YsSqVS/0RuKhycDad/Aq0aJBk0HQFd3gcbIzv2x/x1xtidC93Cvp9/wNzahjHzFmNqYWnokIzmnDG63KAMZDIZCQkJuLi4VM72K2WrgiAIgmAgkiSnfr2PAYnEpM107qL/QH3y5EmSkpIMG1wVkuQS5o2ccBnfBJfJzbBo4QpyiaLo7LuSQgCV5d1JYNbu2xUej4mrCx6zP8dn9SrMmzRBl5dH8jffENH7abJ27SoeghlgH8C3Xb7lj6f/oKNnRzQ6Deuur6P3ht58duIzkvOSKzy2ihB5exHZ2ZdQKGyoX/+TBy7r5ubG+PHjGTp06J2kEMDSEXp9AZNOQoO+oNPqq5jOb66vaKrKqeSjEGqKoG49cfDwIj87i4t7Qg0djlBBKruomEgMBUEQhBrHxiYIT8/hAGRn/0D9+nXQ6XTs2LGjRvfOux+lpxUOg+ri/m5rbLrXRlL+Z97bfz5s2HSvvDL35kFB1P59JR5ffoHC1ZWimBhiX32NqBdepODKncIzDR0b8l237/i1568EuwVTpC3i9yu/03N9T74+/TVpBWmVFmNZZWVdJDJyAQD16s7AzNStxOWKioqK/29paXn/uUCO/jDkVxi9C7xaQ1Ge/k7ivGZweilo1BV+DELNIlco6DJqPN1feoUWT/c3dDhCBans968amxguXLiQwMBAOnfubOhQBEEQBAPw95uKiYkjeXk3adYsE7lcTlJSEllZWQ9fuYaSWymx6VoLj2ltULhalLiMwtUC606VO7xKksmw7dMH/x3bcXp5IpKpKXknT3Jr4DPET/8IddqdpK+pS1OW9FjCkqeW0NS5KSqNil8u/0LPdT2Zf24+WYWG/X1qNAVcDnsLnU6Ni0svXF1L7kOYmprKt99+y9mzZ0u/8VrBMGYXDFoG9r6QmwRb34Dv28HVUHgML3IIpecT1IygriHIZCUXQBKqH61WW2nDSKEGJ4aTJk0iLCyMAwcOGDoUQRAEwQBMTGyoG/ABtWuNp06dUQwbNozJkydX2qT96iT7YAzqxLwSn1Mn5hE34xiZOyNRZ1RuNVOZhQXOr76K//ZtWPcMAa2WjFWruNkjhNRffkFXWFi8bLB7MMt7Lue7rt/RwKEBeeo8frz4IyHrQvjx4o/kFuVWaqz3czPia/LybqBUOlO/3swSh3oVFRWxevVqcnNzOXfuXNnap0gSNOyvH14aMhvMHSDlKvw+BJb1gbhzFXcwQo1VVKgiMynR0GEIRq7GJoaCIAiC4ObWlzp13kYut6BOnTqYmZkZOiSjcM8cwv/cedIVacneH03C7JOk/BpGwY2MSh3CZOLpidc331B7xa+YBjZAm51N0ueziejbj5yDB4uXkySJjl4dWfX0Kr7t/C117OqQXZjN/HPz6bmuJ8suLyNfnV9pcf6XVqsmL/cGAA3qz8LExL7E5bZv305iYiKWlpYMGjQImawcH78USmgzAV49B+1fB7kpRP4JP3aGdWMhveLnhQo1Q/yNq/z8xgS2fPM5OtEnU3gAkRgKgiAIjwWdTkt+fiw6nY6LFy+SkZFh6JAM5r9zCE1z704qzIOcMPW3BR0UXE4lZcklEr85Q86xOLSqypvfZtGyJb5r1uD+ycfIHR0pjIwkevwEol56CVXEnb6GkiTRtXZX1vZZy+yOs6ltU5t0VTpfnf6KXut7sTJ8JYWawgfsqWLIZAqaNFlKs2YrcHLqUuIyZ8+e5dy5c0iSxDPPPIONjc2j7dTcDrrPgMmnIWiI/rFLa2BBK9j1IeRnPNr2hRrHxskFVW4OiRHXCT9y8OErCI8tkRgKgiAINV5BQRynzwzi7Llh7Ny5mfXr17Nz505Dh2UwNl1rFSeHNt1r4xy15q7vHYc3wHlcEK5vNMeyjTuSUo46KZ+MTTeJ/+wk6ZtuUJRU8lDURyXJ5dg9+yz+O0NxGDMaTEzIPfQnEX37kfDZZ2gyM4uXlcvk9PLrxcZ+G/m4/cd4WnmSkp/CrJOz6L2hN+uuraNIW/SAvVVAvJKEg33bEp+Lj49n+/btAHTp0gU/P7+K27FdLRj4I7x0EHyfAI0Kjs6DeU3h2HegrvzEWKgeLO3sad1/MAB//r6MIlWBgSMSjJVIDAVBEIQaz8TEnsLCZAoKYnH30N+9CQ8PJ+Jfd6EeNzZda+H1ecfifoX//R7AxNUS+/51cH+vNXZ9/VE4m6NTacg9Fk/inDMkL7lE/l8p6DQVP8xUbmWF61tv4b9lM1ZPPglqNenLf+VmjxDS//gDnfrOnUuFTEH/Ov3Z0n8LH7b5EBdzFxJyE/jo2Ef029iPLTe3oNFqKiy25JS9hIe/i1p9//YRBQUFrF69GrVaTd26denQoUOF7f8uHk1h5GYYvgac60N+Oux8Fxa2gssbRIEaAYAWvfph4+xKTmoKp7dsMHQ4gpESiaEgCIJQ48nl5tQNmAZAaurvtG6tr7q5Y8cONJqKSxhqKpmZAqt2Hri+2QKnsY0wC3QECVQ3MkhdEU7CF6fI2h+NJqfi71IpfXzw/m4h3j8tQVnHH01GBgkfzeDWwGfIPX78rmVN5CYMrjeYbQO38Xart3EwcyA6O5r3Dr/HwM0D2RW5C63u0eZYFRamEh7+LnHxq4mO/vn+cSuVBAUFYW9vz4ABA8o3r7C0JAnqPgUTjkCfuWDlCumRsOZF+Kk7RB1/2BaEGk6hVPLEiBcBOLl5LdlpKYYNSDBKIjEUBEEQHgvOzt1wcuqKTqfGyXk35uZmJCcnc+rUKUOHVm1IkoRZHXucRgbi9r9WWHf2RmapQJOpImtnJPGzTpK26iqF0dkVvm+r9u3x27gR1w8+QGZri+raNaJeHEXM5MkURkfftayZwoznA59nx8AdvNb8NWyUNkRkRjDl4BSGbB3CweiD5Sqmo9PpuHJ1GkVFqVhaBlCr1kv3XVYmk9GlSxcmTpyIubl5mfdVLnIFtHgRJp+Fzu+CiQXEnIKlPeCPEZByo2riEIxS3TYd8KjbALVKxZE/Vhg6HMEIicRQEARBeGzUDZiGTGZGVtYpOnY0BWD//v3k5Nx/SKBQMoWdGbYhPri/E4z94LqYeFuDRkfeuSSSFp4nccE5cs8koiuquCqIkkKBw3Mj8A/dgf2IESCXk717DxG9epP09Rw0OXe3rLAwsWBs47GEPhPKxCYTsTSx5EraFV7Z9wrPbX+Oo3FHy5QgJiZuJjk5FElSEBj4FXK56T3LJCUl3dXIXqlUlv+Ay8vUCjq/o69g2vwFkGRwZSt8FwzbpkKuuFv0OJIkic4vjAVAlZeLVoyWEP5DJIaCIAjCY8Pc3Atfn1cAUGt+x9PTHpVKxb59+wwcWfUlmciwbO6K66SmuExqikVzF1BIFMXkkL7mGvGzTpC54xbqtIoreKGwt8ftww/w27gBy3bt0BUVkbp4MTd7hpCxfsM9Jfmtlda83PRlQgeGMrrRaMwV5lxMucj43eMZtXMUZxLPPHSfBQXxXL02HQBfn8nYWDe6Z5ns7GyWLVvG0qVLycrKqpiDfRTWbtB3Hkw8CgE9QKuGU4thblP482soqrrWHoJxcK9Tjxe//o5+U99HJheN74W7icRQEARBeKzUqjUGCwt/zMzc6dKlNa6urgQFBRk6rBpB6W2Nw+B6uL8bjE2ID3I7U7R5arIPxpDw5SlSll2m4Ho6Om3FFEQxDQjA+6cleH33HSa1a6FJTiH+vfeIHDyEvLP3Nn63M7PjjRZvsH3gdp5r8BxKmZIziWd4MfRFxu8ez6XkSyXuR6fTEh7+P9TqbGxsmlC79oR7ltFoNKxdu5bc3Fw0Go1x9cx0aQAjVuuL1LgFQWE27J0J81vA+ZUgets9Vhy9aj18IeGxJBJDQRAE4bEikylp1vQXWrVcT506bZkwYQI+Pj6GDqtGkVuaYNPZG7e3W+H4fCCmAXb6nojhaaT89BeJc86QfSQWbcGj90SUJAnrJ7vgt2ULLm+9hczKioK//uL28OHETplKUXz8Pes4mTvxv9b/Y9vAbQyuOxiFpOBo3FGGbx/O5H2TuZp29a7lCwpiyM4JRyYzJbDBV8hkinu2uXfvXm7fvo1SqWTw4MGGGUL6MH6d9O0tBvwItt6QFQsbJ8KPT8DN/YaOTqhiOWmpHFyxFHVR5bZ0EaoPkRgKgiAIjx0zMw8kST+MSpKk4sdFhdKKJckkzBs64jymMa5vtsCqnQeSqRx1Sj6ZWyKI/+wE6RuuU5SQ+/CNPYRMqcRxzGj8Q3dgN+hZkCSytm3jZs9eJC9YiDb/3mGTbpZufNj2Q7YM2EI//37IJBkHog/w7JZnmXpwKhEZ+nYm5ua1CA7eQeNGC7G0vLcXYXh4OEePHgWgX79+ODk5PfLxVBqZDJoMgVdOQbePwNQGEi7Br/1hxTOQeNnQEQpVQKfVsmrGO5zesp7zO7caOhzBSIjEUBAEQXhsaTQF3IyYQ1T0bxw6dIgFCxZQUCCaP1cGExcL7Pr663si9vdH4WqBrlBL7okEEr89S/KPF8m7lIxO82jDGhVOTrh//DG+69Zi3rIFuoICUhYs4Gav3mRu21ZisRkvay8+6fAJG/ttpKdPTwB2Ru5kwOYBvH/4faKzojFVOuHk1OWedVNTU9m4cSMAbdq0oWHDho8Uf5UxMYcOb8Cr5yF4AsgUcGMPLOoAm16BrHvvtAo1hyST0br/IACOr/uDvKxMA0ckGAORGAqCIAiPrcTELURGLiQi4kv++usI6enpHDp0yNBh1WgyUwVWbTxwfb05TuMaY97IEWSgisgk7bcrJMw+RdbeKDTZj9YT0SwwkNq//ornt9+g8HBHHR9P3JSp3B7xHPl/lXxXzNfWly86fcHaPmt50vtJOliquB23nr4b+/LR0Y+Iz7k3Wdq6dSsqlQpvb2+6d+/+SDEbhKUj9JwNk05CYD/QaeHcrzC/Oez7FFQV33pEMA4NO3XF2ccPVV4ux9auNHQ4ghGosYnhwoULCQwMpHPnzoYORRAEQTBS7u4DsbZuhEaTTbPm+mGDx48fJzk52cCR1XySJGHmb4fjc4G4/a811k96I7MyQZNVSNbu28R/fpLUP66gup1Vrp6D/+zDJiQE/+3bcX7tVSRzc/LPniVy0CDi3nsf9X1+z/Uc6vFJq5cYaK9llFMhtZQq1l1fR+8NvZl1YhYp+XfaPfTt25eAgAAGDRqEvDpXeXT0h8HLYcxu8A6Gojw49AXMaw6nl+qTxINflLzuwS9g/6yqjVd4ZDKZnM7P69tXXNi9g9SY6IesIdR0NTYxnDRpEmFhYRw4cMDQoQiCIAhGSpLk1K/3MSCRl7ePho0UaLVaQkNDy52MCGWnsDXF9ikf3N9pjcPQeihr6Xsi5p9PJvn7CyTNP0fuqQR0ReWbAyozM8Np4kT8Q3dg07cP6HRkrl/PzZCepCxejLbw7ruTGo2Ky2FTAQ3Ozk8xvcsKWrm1okhbxMorK+m5ridzTs8hvSAde3t7RowYgY2NTQX8JIyAd2sYvVOfJDr4QW4SbH0DTv8E+z+FA7PvXv7gF/rHZdU4KX6M1WoUhH/LNui0Wg6u+MnQ4QgGVmMTQ0EQBEEoDRubIDw9RwDg7r4fhQJu3rzJ1atXH7KmUNEkhQyLpi64vNwUl8nNsGjpCgoZRXG5pK+7TtxnJ8nYHoE6tXz990xcXfH84gt8/vgds6AgtLm5JH89h4in+5C9Z0/xxYCIW9+Qm3sNExNH6tf7hOauzfnpqZ9Y/NRigpyDMM0zZcepHYSsC2HBuQVkFRpBz8KKJEn6YaUvn4CeX4C5A+Sl6p878BlseV3//3+Swi7vQ6e3DRau8GieGDEKmVzOrXOnibx4b5sX4fEhEkNBEAThsefvNwUTE0dUqkjatNHPqdq5cydFooy7wSg9rXB4ti7u77bGtqcvcgczdPlqcg7FkvDVaVJ+uUzB1bRy9UQ0b9oUnz9+x/3zWSicnSmKiiLmlclEjR5N0sX1REUtAaBB/U9RKh0B/bDUNu5tWNJlCU9nP037xPY4Zjjyw8UfCFkXwuKLi8kryqvQn4HBKZQQPB5eOw/tXwe5qf7xMz9Ds4MiKawhHDw8afH0AFr2GYibf4ChwxEMSCSGgiAIwmPPxMSGgID39P9XHsTGxoysrCxiYmIMHJkgtzTBupMXblNb4vhCIKZ17fU9Ea+kkfLzZRK/Pk32n7Fo88qWxEsyGXb9++MfugPHCeORlEpyzh4j7MrbgA43hz44O99dTEan07Fx40YKsguws7Pj1e6vUseuDtmF2cw7N4+QdSEsu7yMAnUNq2xrZgvdZ8DkMxA0VP/YP11eNIWgyjFYaELFeGL4i3R6bjRmllaGDkUwoHs7tAqCIAjCY8jNtR95ebfwcB9ELe8ibGxscHR0NHRYwt8kmYR5A0fMGzhSlJJP7rE4cs8kok4tIHNbBFm7IrFo5oJlG3eUHqX/cCuztMTl9dexe/ZZbqx8A43TWeSpIJt+hLRxy7EfNgzJxASAI0eOcPXqVeRyOYMHD8bDw4PudboTGhnKd+e/Iyo7iq9Of8Wyy8t4KeglBgYMRCk3wkb35WXnrS9SA6BDnxwe+hLO/gpdp0GTYfo+iUK1ptPp0GrUyBUmhg5FqGLir1cQBEEQ0A8V9Pd7A3NzL3x9fUVSaMRMnMyx6+OP+3vB2A2og4mbBboiLbknE0iad46kRRfIu1i2nohKLy8C315DfbP/4bzfD5JzSPxsFhH9+pPz559ERkayd+9eAHr27ImHhwcAcpmc3n692dR/EzPbzcTd0p3k/GQ+PfEpfTb0YcP1Dai16kr5OVS5f88pPPcENByofzwnATa9DIs7Q+QRg4YoPJrEWzdZ9dH/OLL6N0OHIhiASAwFQRAEoQQZGafRaPKIiYkhNjbW0OEIJZAp5VgFu+PyWnOcxwdhHuQEMonCyCzSVl4h/vNTZO25jSar9D0RPdu9ROD8UNxmzEDu4EBhRATXJr/Kqp9+QqfT0aRJE1q0aHHPegqZggEBA9g6YCvvB7+Ps7kzcblxTDs6jX4b+7E1YisabfmqqhqFewrNSDDoZ+j0P/3zclOIvwC/9IJVz0FahEHDFconJy2F2CthnN22kcykBEOHI1QxkRgKgiAIwn/cuPkVZ84O4cSJ6SxZsoTNmzej0VTjD/U1nCRJmPra4ji8Ae7vtMK6ay1k1iZoswvJ2hOl74m4MhxVZGaJbUgib/9AQUHcne3J5dgPGYz/zlAcRo0i2qc2+XI5thmZtLpyFW32/Zu+K+VKhtYfyvaB23mr5Vs4mDkQlR3Fu3++yzObn2H37d1odaW/k2k0tJqSC810eU//eOuXoOVokGQQvgUWBsOuD6Ag0zDxCuXi17w1tRoFoVGrObRymaHDEaqYSAwFQRAE4T9sbZoCUKDajJ1dPomJiZw5c8awQQmlIrcxxbZ7bdz/1xqHYfVQ+tiAVkf+xRSSF10kae45ck7Goy3UJ/oJiVu4efMLTp7qi1p9d8Int7bG9X9vEzLnGzplZND+yGGyly3jZo8Q0letRveAiwVmCjNGNhzJjoE7eK35a1grrbmZeZM3D7zJ0K1DORRzqHr1yuzy7v2rj3Z6G3p8Ak9/AxOOgF8XfVGao/NhXnM49RNoashw2hpOkiQ6PT8WJIlrx/4k9mq4oUMSqpBIDAVBEAThP5ydu+Hk1A2dTk3TppcBHfv27SM3N9fQoQmlJClkWDRxwWVCE1xebYZlazckExlFCblkrL9B/GcnSNp2kqtXpgHg5fk8CoV1idsy9fOly7ffEjjnG5T+/mjS00mYPp1bzzxL7omTD4zDwsSCsY3HEvpMKBOaTMDSxJLwtHAm7Z3Eczue43j88eqVID6MayA8vwGGrwbHAMhLgW1vwqIOcGOvoaMTSsHFx4/GXfQVeQ8sX4xOWw3vcAvlIhJDQRAEQShB3YAPkcnM0GjDqROQSkFBAfv37zd0WEI5KD2ssB8YoO+J2FvfE1FboCYi9zPUmizMVf64qobd1RMxNTWVVatW3XUxwKpjB/w2bsD1vfeQ2digunKFqBdeIObV1yh8SGsTG6UNk5pOYsfAHYxqNAozuRkXky8ybtc4xuwaw9nEs5V2/FVOkqBuD3j5GPT8AsztITkcVgyE3wZB8jVDRyg8RPshz2NiZk7CjWtcOXLQ0OEIVUQkhoIgCIJQAnNzL3x9JgPg5XUMhULF6dOniY+PN3BkQnnJLEyw7qjviagefI1cp0tIGgWup8eQvuwqCV+dJvtQDKrMPFavXk14eDjbtm27axuSiQkOI5/Hf2co9sP17Rmyd+0ioldvkr75Fu1D7irbm9nzZos32fHMDkY0GIGJzIRTCad4IfQFJuyZwOWUy5X5I6hachMIHg+Tz0Kbl0GmgOu74Ls2sP0tyEszdITCfVja2RPcfxAA4YcPGDYYocqIxFAQBEEQ7qNWrdFYWNRBo8mgWfMoAHbs2FGzhv49hvILoridPRcAP+83cWzeCslMgSatgMztt1j39QoSExOxMLcgJCSkxG0o7O1xmzYN3w0bsGjbBl1hIak//MDNkJ5kbNz40OF3TuZOvNP6HbYP3M6zdZ9FISk4EnuEoduG8uq+V7madrXCj9tgLBwgZBa8fALq9QKdBk7+CPOawrGFoC591Vih6jTv3Y8eE16j/9vTDB2KUEVEYigIgiAI9yGTKalfbwZKpTMNGvTFzs6OJk2aiMSwmou8/R0aTR52dsHUrjcOu95+uL/XGvtnArjhkMI1WRySDjpn1qPgt1vknU9Cpy450TOrV5daS5fitXABJrVqoU5OJv6dd4kcOoz88+cfGoubpRvT205n84DN9PXvi0ySsT96P89ueZa3Dr5FRGYNavvgVAeG/Q4jN4FrI33F0p3v6e8gXtkO4u/KqJgoTWnUpTsyudzQoQhVpMYmhgsXLiQwMJDOnTsbOhRBEAShGrO3b0O7tgfw8x3C5MmTadGiBTJZjX37fCzUqzuT2rUnENjgCyRJ/7uUKeVkeen4U/UXAMHOjfHAkcLbWaT9cZX4z0+SuSsSTabqnu1JkoR11674bd2Cy9QpyCwsKLh4kcihw4h9622KEh7eD87b2ptPO3zKhn4bCPHR36UMjQxlwKYBvH/4faKzoyvwJ2Bgfp1h/CHoMxcsnSHtJvwxDJb3hYRLho5OKIG6sJCIs6cMHYZQyWrsO9ukSZMICwvjwIEDhg5FEARBqObkcrO//5Wj+7sHnVZU6qu25HJT6vi/hbm5V/Fj+fn5rF69Go1GQ0BAAE+9PAD3d1tj0702Mhsl2pwisvdFEz/7JKm/haOKyLjnzrFMqcRx7Fj8d4Zi+8xAkCSytmzhZs9eJH/3HdqCgofG5mfrx5edvmRtn7V08e6CVqdl883N9N3Ql5nHZpKQW0Oajsvk0OJF/fzDDm+A3BRuHYJFHWHzZMhJMnSEwt9UeXn8MmUiG76YSeKtm4YOR6hENTYxFARBEISKpNPpSEjYxPETPbhw4U8WLFhAamqqocMSSkmrLSQ29nd0upJ7D+bl5SFJEnZ2dgwYMACZTIbcWolN11q4/68VDsPro/S1BS3kX0oh+cdLJH57lpzj8WhVd29T4eyMx6ef4rNmDebNm6PLzydl3nwievUmKzS0VEOR6znUY96T81jZayXtPdqj1qlZc20Nvdf3ZvbJ2aTkp1TIz8XgzGyg20fwykloOADQwdnl+v6Hf86Boocn00LlMrWwwK1OPdDpOPjrT2IofQ0mEkNBEARBKBUtUdE/k5cXQVT016SlpbFz505DByWU0q1b87hy9QMuXnq5xOcdHR156aWXGDFiBBYWFnc9J8llWAQ54zI+CNfXm2MZrO+JqE7MI2OjvidixuabFCXn3bWeeaOG1P5tBZ5zvkbh7k5RXByxr7/B7eefpyAsrFRxN3ZuzKLui/gl5BdauLagUFvIivAV9Frfizln5pBRkFGun4fRsfeBQb/AqFDwaAaF2bB3BixsBX+tF/MPDeyJ4S8iNzEh+vJFbp55cO9OofoSiaEgCIIglIIkyalfbyYgYWFxCXv7RK5du8a1a6Inm7HLzDxH5O0fAHB3G3DXc0VFRcX/NzMzw9nZ+YHbMnGzxH5AAO7vBWP7tB8KJ3N0Kg05R+NI/PoMyT9dIj8stbgnoiRJ2PTqhf/2bThNfgXJzIz802e49cyzxH/4IeqU0t35a+Hagp97/MyP3X8kyCmIfHU+P//1MyHrQ1h4fiHZhdll+ZEYr9ptYew+GPADWHtARhSsHQVLQyD2jKGje2zZOLvQond/AA6t+AmNuujBKwjVkkgMBUEQBKGUbGyC8PQcAUDDRheQJA2hoaGo1WoDRybcj0aTx+WwqYAWN9f+uLjcaT+RnZ3N/PnzOXHiRJmHx8nMFVh38MT1zRY4jW6EWQMHkEB1PYPU5WEkfHGKrAPRaHKL/l7eHOdJk/DfsR2bp58GnY6MNWu52SOE1J+Woit8eMsGSZJo69GWFb1WsLDrQuo71Ce3KJdFFxYRsi6EJZeWkFeU99DtGD2ZDJoMhcmnofO7YGIB0cdh8ZOw/iXIjDV0hI+l4P6DsLC1Iz0+jgu7ths6HKESiMRQEARBEMrA328KJiaOSFIivn43SEtL4/jx44YOS7iPGze+ID8/ElNTN+rWnV78uEajYe3atWRlZXHmzJlyJ/eSTMKsrj1OLzTE7a1WWHXyQmahQJOhIis0kvhZJ0hbfZXCGP0dPRN3dzy/+pLaK1di1qgR2txckr78kpt9+pC9b3+pElRJknjC6wlWPb2Krzt9jb+tP1mFWcw9O5ee63uy/PJyCtQ1YG6e0hI6vwOTz0CTYfrHLq6C+S1g/ywozDVsfI8ZpbkF7Yc8B8Cxtb+Tn1ND7lILxURiKAiCIAhlYGJiQ0DAewB4ep7H1CybQ4cOkZWVZeDIhP9KTTtMTOyvADRoMBsTE5vi5/bu3cvt27dRKpUMHjwYExOTR96fwsEMu56+uL/bGvtn62LiaQVqHXlnk0hacJ6khefJPafviWjRvBk+q1fhPmsWcmcnim5HEfPyy0SPGYvq+vVS7U8myXjK5ynW9V3HrI6z8Lb2Jq0gjS9Pf0nv9b1ZdWUVRZoaMOTPxgMGLIJx+6FWW1Dnw8HP9Qni+d9BVAiuMo26dMe5lg+eDRqiVt3bukWo3kRiKAiCIAhl5ObaDzu7YKAQf78cCgsLCQ8PN3RYwr/odBquXp0GgJfn8zg6dCh+Ljw8nKNHjwLQv39/nJycKnTfkokcy5auuLzSFOeXm2DRzAXkEoXR2aSvukr8rJNk7oxEk1WE3YD++O8IxXHcOCQTE3KPHiWi/wASPv4ETUZGqfYnl8l52u9pNvXfxIx2M3C3dCcpP4lPTnzC0xueZsP1Dai1NWC4s2dzGLUDBi0Du1qQHQ8bJ8CSJ+H2MUNH91iQyeQMmfEF/d/6EGvHiv27EQxPJIaCIAiCUEaSJFG/3ic0b/Y7HTt+xMiRIwkODjZ0WMK/SJKcoMaLcHHpRZ06bxc/npqaysaNGwFo27YtgYGBlRiDhGktGxyG1MP9ndbYPFUbua0SbW4R2fujSZh9kpRfwyhKKML5zTfw274N6+7dQKMh/bffuNEjhLQVv6Er5TBXE5kJAwMGsnXAVt4Lfg9nc2ficuOYdnQa/Tf1Z1vENjTaktt1VBuSBA37w6RT+jYXSmuIOwc/h8DqkZAeaeAAaz7T/1TtFWoOkRgKgiAIQjlYWvphb98ad3d3/Pz8DB2OUAIrq7o0bjQfuVz/QbaoqIjVq1ejUqmoVasW3bp1q7JY5NZKbJ6shdvbrXF8rgGmfragg4LLqaQsuUTiN2cojJHj8dU31PrlF0zr1kWbmUniJ58Q0b8/OUeOlHpfSrmSYfWHsW3gNqa2nIq9qT23s27zzp/v8OyWZ9lze0/170VnYgYd3oBXz0KLF0GSQdgmWNAKdk+DAjG0u7LlZqSzc9E8bl86b+hQhAoiEkNBEARBeET5+THEJ2wkKyuLW7duGTqcx5pKlUxm1oUSn1MoFAQFBWFtbc2zzz6LXC6v4uhAkkuYN3LC+aUgXN9ojmUbdySlHHVSPhmbbhL/2UkKEx3xWvQrbh9NR25nR+GNm0SPGUv0xJcpjIws9b7MFea80PAFdjyzg8nNJmOttOZGxg3eOPAGQ7YO4VDMoeqfIFq5QJ+5MP5P8OsMmkI4MhfmN4fTP0N1v0NqxE5tXsdf+3dxcPkStDX857xw4UJ8fHwwMzMjODiYkyfv38uxqKiImTNn4u/vj5mZGU2aNCE0NPSRtllVjDox/Oijj5Ak6a6v+vXrGzosQRAEQSiWnx/N8RM9CAt7myVLZrJmzRry8/MNHdZjSafTceXq+5w5M4jY2N/veV6SJNq3b8/kyZOxsbEpYQtVy8TVEvv+dXB/rzV2ff1ROOt7IuYeiydp3gXU2YF4zluF/ciRoFCQs38/N/v0JfGLL9Fkl74ipKWJJS8FvUToM6GMDxqPhcKC8LRwJu2dxPM7nudE/IlKPMoq4tYInt8Iw1aBYx3ITYatr8OijnBzv6Gjq5GCBwzGzNKK5KhI/tq/x9DhVJpVq1bx5ptvMn36dM6ePUuTJk3o0aMHSUlJJS7/wQcf8MMPPzB//nzCwsKYMGECAwYM4Ny5c+XeZlUx6sQQoGHDhsTHxxd/HT582NAhCYIgCEIxc3NvHBw6ABoCAk6Sl5fL/v3ig6ghxMevJSVlLyDH1rZ58eOpqamo/lVBUalUGiC6+5OZKbBq56HviTi2EWaBjvqeiDczSV9/G53UFdcZK7Ds1B2KikhbupSbIT1JX7MGnab0d2pslDa80uwVQp8JZVTDUZjJzbiQfIGxu8YyZucYziWde/hGjJkkQb0QmHgMQj4HMztIugy/9oeVQyCldNVehdIxt7ahzTP6NiJHVv1KYX716qGZnZ1NVlZW8ZfqPlVW58yZw7hx4xg1ahSBgYEsWrQICwsLli5dWuLyv/76K++99x69evXCz8+PiRMn0qtXL77++utyb7OqGH1iqFAocHNzK/6q6MphgiAIgvCo6gZMQyYzx8IyFheXCE6dOkViYqKhw3qs5OdHc+36xwD4+72BlVW9vx/PZ8WKFSxevJi0tDRDhvhQkiRhVscep5GBuP2vFdadvZFZKtBkqsg7lYXMaTAOL/+AacP2aFJTSfhwGrcGDSLv9Oky7cfezJ43W77J9oHbGV5/OCYyE04mnGTkjpFM3DORy6mXK+kIq4hCCW0mwqvnIHgCyBRwLRS+awM73oE84z4PqpOmPXph7+5BXmYGJzetNXQ4ZRIYGIitrW3x16xZs+5ZprCwkDNnztw1H1kmk9GtWzeOHSu5Eq5KpcLMzOyux8zNzYtvbpVnm1XF6BPD69ev4+HhgZ+fHyNGjCAqKuqBy6tUqruy/+wyDLUQBEEQhPIwN/fE13cyAAF1LyCXF7Bjx47qP3+rmtDptISFv41Gk4utbUtq1RoDgFarZePGjaSnp6NWqzE3NzdwpKWnsDPDNsQH93eCsR9UFxNva9DoKIqTUAa8gO3QeSgDuqC6cp3bzz1PzBtvUBQbW6Z9OFs4827wu2wbsI1nAp5BLsk5HHuYoVuH8tq+17iWfq2Sjq6KWDhAz9nw8nGoGwJaNZz4HuY1g+OLoCb0eDQwucKEJ0aMBuD01g1kJRt2KGRZhIWFkZmZWfz17rvv3rNMSkoKGo0GV1fXux53dXUlISGhxO326NGDOXPmcP36dbRaLbt372b9+vXEx8eXe5tVRWHQvT9EcHAwv/zyC/Xq1SM+Pp4ZM2bQsWNH/vrrL6ytrUtcZ9asWcyYMePeJ0aNAmN4Qzh5Evr2NXQUQnUizhmhrMQ5YxC1ZFoSRpiS65iLb+1zXL9pStgLL9CwlL3oDKqanzPRzVLI6JSIvFBGw28ykbIGAHDU1ZWrnp7ItVoGHzuG+b59Bo607CTA8u+vQjM3chyakWdTH22BGaYNh2Ea0BdV5CFyDh4iJ7Q7jvb2ODrYI8tXPMMAAQAASURBVJOV/tq/O/ARMNrSnUUNMthaK4d90fvYH7WPkBhLJobZ4ZtzZ/jtMZd8Pu8Qwztju9M2yQg+W5WWdWPwigAyIPR/sPEjiPGHLAf0P2mhPPzR4a2EaIo4NmE0PYruc+4Zy+vM33PAra2tK2Wu8dy5cxk3bhz169dHkiT8/f0ZNWqUwYeJloakq0aXMzMyMqhduzZz5sxhzJgxJS6jUqnuGiMcGxtLYGAg0dHReHl5VVWo99e3L2zebOgohOpEnDNCWYlzxmDS009w9txwQOLc2RBkMj9eeeUVo5vTdo9qfM7k50dx/EQPtNpC6tf7BE9P/ZynW7dusXz5cnQ6HX369KFFixYGjrTiaHIKyT2dSO7xeDQZ+s88Op0WdcJFiiL2I8nScZnyBjZPP41UhgTxHzczbvLd+e/YdXsXADJJRh+/PkxoMgFPK0+GbRvG5dTLNHRsyO+9f0eSqlFSpVHDueWw71PIS9E/5tcZenwGrg0NGlp1lhQZQdihfbQZOBQzK6uSFzKS15mYmBi8vb1LlRsUFhZiYWHB2rVr6d+/f/HjL7zwAhkZGWzatOm+6xYUFJCamoqHhwfvvPMOW7du5fLly4+0zcpm9ENJ/83Ozo66dety48aN+y5jamqKjY1N8df97iwKgiAIQkWztw/Gw30w3t4TMDX1o1GjRoYOqcYzM/MmoM4HuLj0wsNjKKAvKrF27Vp0Oh1NmjShefPmD9lK9SK3UmLT2Ru3t1vh+HwgpnXskCQZJu5NsWj/BqaNXiZ50U5uD3+R/IsXy7x9fzt/vu78NWv6rKGzd2e0Oi2bbm6iz4Y+vLL3leI5iJdTL3M07mhFH17lkiug5Wh9/8P2r4FcCREHYFEH2PIa5CQbOsJqycXHj84jx94/KaymlEolLVq0YO/evcWPabVa9u7dS9u2bR+4rpmZGZ6enqjVatatW0e/fv0eeZuVzaiHkv5XTk4ON2/e5Pnnnzd0KIIgCIJQovr1P0OSJPx81SgU1epttlqSJAkvrxF4eg4vvnO1Y8cOcnNzcXV1pXfv3tXrjlYZSDIJ84aOmDd0pCgpj9zj8eSeSUCGG2ZBQ9GpC4j/dBOmPptxefMlTFxdyrT9+g71mf/kfC4lX2LB+QUcjTvKodhDxc/LJBnzz82nnUe76vczNrOF7jOhxSjYMx3CNsGZX+DSOnhiqr54jcLU0FFWSzqdjtz0NKwcHA0dSoV48803eeGFF2jZsiWtW7fm22+/JTc3l1GjRgEwcuRIPD09i4vXnDhxgtjYWJo2bUpsbCwfffQRWq2Wt99+u9TbNBSjfseaOnUqffr0oXbt2sTFxTF9+nTkcjnDhg0zdGiCIAiCUKJ/PiArFAp0Og0aTT5yuWX1++Bs5PLybqFUOqNQ6O9Q/Pvn27NnT9RqNT169DD+YbwVxMTFAru+/tj0qE3euSSy/4xGkwpK387ogLgPt2FWzxSniQOQW5RtXmBj58b80P0Hfv7rZ+acmVP8uFan5XLqZX65/AsvNnyxep7jDr4weDlEHoGd70H8eX2ieHqpPnEM7KdvgyGUSlZKMjsWfk1mUiKjvlmEibL6J9dDhgwhOTmZadOmkZCQQNOmTQkNDS0uHhMVFXXXnN6CggI++OADIiIisLKyolevXvz666/Y2dmVepuGYtRzDIcOHcqhQ4dITU3F2dmZDh068Omnn+Lv71/qbZRlHHGVMJLx1UI1Is4ZoazEOWMUsrPDCb/yDpLkzsULrejcuXOZ3r+qVDU7ZzSaAk6e6oNWW0hQ0A9YW9U3dEhGR6fToYrIJCv0CqooFZKk/+CqK8zCrJ459sPao7Ap/Yd2nU7HsG3DCE8LR6vT3vN8A4cGvNDwBZ7yeQoTmUmFHUeV0mrh4h+wdyZk6ytIUqsdhHwGHs0MG1s1UaQqYOkbE8hJTaHD0JEEDxh850kjeZ0xutzAiBj1HMM//viDuLg4VCoVMTEx/PHHH8b7pioIgiAI/6LTqcnODiMrazdZ2SfZsWMHmjI0Ixfu7+bNL8nLi0CrLcTM1A3QN7G/fLma99+rQJIkYeZvh8ukNri/G4zSqwBdYQ6S0gbVLRPiPz1G8g8nUd3OKlVblaNxR7mcernEpBAgPC2cd/58h5B1ISz9aymZqsyKPqTKJ5NB0+Ew+Qx0+h8ozCHqKPzYGTZMgKw4Q0do9ExMzXhi2AsAnNi4htyMdANHJJSFUSeGgiAIglBd2dg0xstrBAB1A06TmprIyZMnDRxV9ZeWdpTomF8AaNBgFiYmdhQWFrJ69WrWrFkjfsYlUNiZ4fJKdzw+6ojC7jaa9FtIkhzVLRXJ318g8ZvT5J5KQFdU8oULnU7H/HPzke7T0kFCwsXcBQdTB5LykvjmzDd0X9udWSdmEZ0VXZmHVjmUltDlPZh8GoKG6B+78DvMbwEHZkNhnmHjM3L123fCrU5digryObLqV0OHI5SBSAwFQRAEoZL4+b6JUumEmXkGXl5hHDhwgJycHEOHVW2p1dmEhesLOHh6DMPJsTM6nY7t27eTmJiIpaUl9euLYaX3I7exwu2d5/CY3g2K9lN0+wg6TSHqpALS110n7rMTZGyPQJ2af9d6RdoiEnIT0FHynUUdOjQ6DdsGbuPj9h8TYB9AvjqflVdW0ntDb17f/zpnE8+W6s6kUbH1goE/wth94B0MRXlw4DNY0BIurNIPPRXuIclkdH5+LACX9u8mKTKCrJQkEiUdWSlJBo5OeBCjnmNYEYxuHLGRjK8WqhFxzghlJc4Zo5KQsInLYW+i1So4ffppAhs8UVy23GhUk3MmLOxt4hPWYW5Wi9att6JQWHLmzBm2bNmCJEmMHDkSX19fQ4dZbeSdOUPirDloCpxQ+nZGZumkf0ICs3oOWLV1xzTAHkkmkZCbQM6+GEyP5KPqYP5/9u47PIpqfeD4d3aTbHolJNQEpIYSOtKkSkClK4ooRa+AIIggXlEwCFcQFQW9iO2nqHgRlIAoVVGKiPROCBBCk9BCettk9/z+SLJkSYeQbOD9PM8+ycyemTkze3Z23z0N4/LXcXjsrazlDk64dquOv0tWs16lFH9H/803x77hz3/+tByvsU9jhjUaRo+AHhWvH6JScDQMfp0B8eey1lVtAb3ehpptyzVrturn+XM5sWMbVes15HLUKUwZGejt7Xlm/qe4VyrZCLmlyeZiAxsiNYZCCCHEHeTn1xcvz/vR6TK5777d7N+/jwsXLpR3tiqcq1d/I/rSCkAjKOhd7OxcuHjxImvXrgWgW7duEhSWkHPLlgQu/5ZKIx8gbf8HpOz4iMzLR0BB2vHrXPvqKJfn7SFx2z84bUvFcXsqGuD4Zyq+7k/fWN6eivPfRst+NU2jXdV2LOqxiFX9VjGo7iAcdA4ciTnCK1tf4aGwh1h8ZDEJxoRyO/cS0zRoPAhe2A3d3wAHV7i4D77sCT+MgNiz5Z1Dm/PAk8PR29mRHBeLKSMDAFNGBqkJFeh1v8dIYCiEEELcQZqmUb/+TDTNHg8PPXp9Bnv27CnvbFU4Hh7NqFSpBwE1n8PTsxWpqaksX74ck8lEvXr16NChQ3lnsULSdDo8Bw3ivvVr8ezThtQ9i0j6dRrG05uATDJj0ohfc5rEzdY/ZqS71LRaTvg1/8DoPs/7mNF+Br8+9itjm43F29GbS8mXmLd3Hg/+8CBzd83lfGIF6odo7widJsP4fdBiGKDB0ZXw39bw2wxIk6Anh6bT8eCo8bR71Hqauev/nOfy6VPSrNQGSVPSslZBmusIGyJlRpSUlBmblJBwCAggIuIELVu2tJr3qtxVkDKjlEIpEzqdHQcOHGDVqlV4enoyevRonJxKNjefyJ/x7Fkuv/MuSZs2gd4Bh3pdcWz8MCrDsdDt0iN+pubCidhXrVp4OlM6a0+v5Ztj33Aq7hQAOk1H95rdGRY0jGDf4Io1H+Klw7B+KpzZlrXsUhm6TYPmT4FOX755K0cJ167w5cTRlppCTdNQSln+AuXWrNTmYgMbYkOfSkIIIcTdy929Ke7uHrRu3dq2gkIbl5Z2Y4oATdPQ6ewAaNasGYMHD2bw4MESFJYih4AAaiz8LzW//D8MtWtiDN9Awg8TSNn2Lua0vFNbKKUwxZ/HGLGOzNiipyYw6A0MqDuAsL5hfNrjUzpU7YBZmfn17K88ve5pnlr7FOvPrCfTnHmnTrF0+TeB4T/DE/8D79qQfAV+ngCfdobTW8o7d+UmNSHBEhQClnKTu/xIs1LbI59MQgghRBkymVI4deod4uKOERkZWd7ZsWlpaRf5e2dvjhydSGZmcp7ng4KCqFpEDZW4NS7t21Nr5Ur83piOztUVfaV66Bzd89TmaZqG3qMGrg/PJ+mvJNJOxqLMRTdG0zSN9tXa88mDnxDWN4yBdQfioHPg0LVDTNkyhYfCHuLro1+TaEy8U6dYejQNGjwMY3dCyGxw9IDLh+GbvrB0CMTce+9zJ3d39PY3BhjKKTe5y4/e3h4nd/cyz5so2F3blHThwoUsXLgQo9FIZGSk7VQXV5DmOsKGSJkRJSVlxqaFH3+NixeXkZRUlYMHevD882Px9fUt30zZYJlRysz+A8OIjd2Bh3tzWrT4nuTkVNasWUPv3r3x8PAo7yzeM5L/3sn1lelWX+pzmgXmR+dmj3NTX5yCfXGo4VbspqHXUq+xPGI5yyKWcT3tOgAu9i4MrDuQoQ2HUs212u2fTFlIuQ6b58Du/wNlAp0dtBkFnV8BJ6/yzl2ZSbh2hdSEBK7/c561/51nWf/QC5PxrlYDJ3f3chmdVJqSFuyurTEcN24cx45lzRklhBBC2IrAgHHodE64ul6kUqVTrF+/vuLN71YGLlz4htjYHeh0TgQFvYtSGj/88APHjx9n1apV5Z29e4rOzRXjcesfDkxXw62WjWf+xFDXgM7ZDnNiBknbL3L144NcencP8RvOkHE5b43vzSo5VWJss7FsGLSBGe1mUNujNskZyXx77FseCnuIyZsnc/DqwVI9tzvC2RseehfG7oC6PcGcCX9/DB82h52fgSmj6H3cBdwrVcavdh28q9WwWu9drQZ+teuU65QVIn93bWAohBBC2CInp2rUqjUegNq193H27DEiIiLKOVe2JTk5klOR7wBQt86rODvXYtOmTZw7dw4HBwcefvjhcs7hvccYsYb08J9QSpF+bBWpf82/sRz+E+kHviF5839xbZeCz1P1cWrmi2avw3Q9jcQ/znP5g31cXrCPhM3nyYxNK/RYjnaODKo3iFX9VrGoxyLaVWmHWZnZeHYjT619iqfWPsXGMxttvx+ib30Y+gM8tQJ8G0BqLKybAovaw4mNWXMj3gNyNyuV5qO2za68M3AvObnnMn/6PUenvVeo01J+JRFCiHtVzRojuXRpJcmcJDDwAOvX+3Hfffdhb1/BJv2+A8zmTI6FT8FsTsfbqyPVqg0lPDycv/76C4D+/ftTqVKlcs7lvckYsQZjxJoCl1N37+af3bvR+/jg0bcvPkP6Yc7wIuXAVdJOxJIRnUxGdDIJ68/gEOCOczNfnJpUQu/qkO/xNE2jY7WOdKzWkROxJ/j22LesOb2Gg1cPMnnLZKq5VmNow6EMqDMAVwfXO37+t6xOD6jVBfYthj9mw7UT8L/H4L5uWX0SKzcs5wzeWe6VKvPM/E9JffZZnBaW7+T2onBSY1hGUhKMbP4ughSdM5u/O05KgrHojYQQQtyVdDoH6td7EwD/KifINJ2yBD73urNnPyEh4SB2du40bPg2169ftzQdbdeuHUFBQeWbQVEg93590VeqhCkmhutffUXUwP5c/s8L6A2H8ZsQhOfAOhhqe4AGxrMJxP0USfTsnVz98gjJ+y5jTi+4BrCeVz1mdZjFxkc3MrrpaLwMXvyT9A/v7H6HB398kPd2v8fFpIsFbl/u9HbQ+l9Z8x+2Hw86e4j8Pav28JeXIPlaeefwjnKvVBk/pUlQaOMkMCwDSim2/O84GemZoGkY0zLZslSaDQkhxL3My6st/v790TSoXWsv27ZtIz4+vryzVe7c3YMxOPhRv94MdDofli9fTnp6OjVr1qRHjx7lnb17kp2XF5pD/rV6OTQHByq/+CJ1//id6h9/jNuDPcDOjrTDh7k0400ie3Yjftk8nBsn4f9KKzweroV9dVcwQ/qJWGKXn+DirJ3EfBdO6pFrqAxzvsep5FSJF5q/wMZHNxLaLpRaHrVIykji62Nf81DYQ0zZMoXDVw/fictQOpw8oed/4IVd0LAPKDPs+TKr/+H2BZCZXt45FPewu3ZU0hy2MPLQyT2X2fjF0Tzre/6rEXVb+ZVDjkRFcXLPZf78dBedxrSV5sei+GxwhEmRP6PxGidPvc3ePTWwt69M79698fT0LPuM2FiZycxMQq93ISEhge+++47k5GRGjx6Nu/RNKjcZFy9az1P40kvwwQeWRTsvrzyT22fGxBD/88/Eh60k/cSJG2mrVsGzf388BgxAc/Qh9eBVUg5eJfNqqiWN5qjHqXElnIN9MdzniabLf2RTszLz5z9/8s2xb9gZvdOyvnnl5gwLGkbXGl3R2/JE82f+hPVT4dKhrGWvQHhwVlbQWMzRXCsMG7nP2EJsYKskMLzDUhKMfBf6N8bUvM0j7B31PDIuGGd3B3R2Gnq9Dp2dhk6vQ6/X0Ok1NJ1W7GGexd3FUnZSMjC42PPkjPtxdi/8F1shAJv58BXFZzQacSiiRuaOsoEyk5mZiJ2dW571RqOR69ev4+/vXw65EgUqQZlRSpF25CjxK8OI/2UN5lyTmju3aYPHwAG4PfggpjhFysErpB64iilXl5viTn8RcT2Cb459w9qotZaBaaq5VuPpoKfpX6c/LvYut3HCd5DZBAeXwqaZkHQ5a11ARwh5C6o2K9eslSobuM9A+ccGtkwCwztIKcX6Tw8TdegaKv8WEUXTQKfPDhr1Gjq7G0GjTq9Dnx1I6rLX6e10N57LTp+1fXa6mwLPG8/rrLe309Dpcu3fLtc+bjqO9fKNfRX0654o2s1lR9NBrWBfeo9uUt5ZExWBjXz4ipJLSorA1bV+2R+4nMtMbOwuDh0eTb2606hSZRAZGRkyEI+tu8UyY05PJ/G334gPW0nyX39ZRubUubjg/lBvPAYOxLFpMBlnE0g5eJXUw9cwp9z4cV3v7YhzsC/OzXyx98s/0LuacpWlx5ey/MRy4tOzmme72bvxaL1HebLhk/i72OiPDOlJsH0+/PURZKYBGjR7ErpNB/cq5Z2722cjn00SGBZMAsM7KOafJL6ftavIdHYOOpQCs0mhzHfPy6HptHyC0vyC3JzgMneQmxOUZqfT5QpicwWhNwfH+nyC3bzLuf6/6Tg6vYbOBmpppfmxuC028uErik8pM8eOTeHS5VWkJI+mcuXOtG3btuwyUI5lJjMziZ27HiYt7QJVqwwmMPANPv/8c5o1a0bHjh3R6WQ4BJtUCmUm4+JF4n/6ibiwlWScP29Z71CrFh4DB+DRtx92PpVIOxVHyoErpB2Nsep7aF/FBadgX5yDfbHzcsyz/9TMVH6O/Jlvj33LmYQzAOg1PT0DezI8aDiNKjW6rfzfMXHnYdObcPiHrGV7F+j4ErR/Aeydyjdvt8NGPpskMCyYBIZ3UFE1hvnVAimzwmxSmEzmrL+ZWX/NluUb/5tN5uzl/NLlLGfvK3s7U/Y6c/bzOce5sZz/Pm4cK1e63PvIvLuK0Z2tnS285jXDaGLr0ggyjXkLjcHZTpqUiqLZyIevKJmIEzO4cOFbUlLcOXb0UV54YSIuLmXU9K0cy0z48de4eHEZjo7Vad1qNT/+uIYTJ07g6enJmDFjcHTM+4Vf2IBSLDPKbCZlzx7iw1aSsGEDKjW7r6FOh2unTngMHIhb1y4o9KSFx1imv8B047tHYdNfmJWZbRe28c2xb9h16cYP9i0qt2BYo2F0qd7FNvshnt8NG6bChd1Zy+7VoccMaPJoxex/aCOfTRIYFkwCwzssJcHI19P+wmQ0oXHjTaxQ6A16hs9qf1d8yVdK5QpqswPIzNxBaX5BaM5yrv9zBbt5A9TswNYqyC1k/5lmzOZcwXQBwbG5gtXSGpztqFbPCxcPB5w9Dbh6GnDxMODs6YCLhwGDs12513iKcmYjH76iZDIyEvj77wcxZlzjTFQzKlceQZ8+fcrm4OVUZq5d+4ODh/4FaLRo/h1HjhjZtGkTer2eZ599lqo3DWYibMgdKjOmpGQSN6wnbkUYqfv2WdbrPT1x79sHz4EDcWzQAHNKBilHrpF64CrpUfGQ81GuA0Mdr6wgsZEPOoP1lN3hMeF8e+xb1kWtI1NlNVGt4VaDpxo+Rf86/XG2dy71c7otSsGRFfBrKCRcyFpXrRX0mgM12pRv3krKRj6byjs2sGUSGN5h649EM//Lg/RJyRv8/exsZOIzwfRqfBe0G6/AlFllB5AF15DmDlALC3CtanELTGddO5s7EE5PyeTqucTbOh87ex3OngZcPBxw8TRkPTwMuGQHjjnr7B1s8NdRUTps5MNXlNylS6s5euwlTCY9e/f2YfiwyWUTHJVDmTEar7NzV2+MxmvUrPEsdnZD+Oabb1BK0adPH1q2bFmm+RElVAZlJj0qiviVq4hftYrMK1cs6w1BDfEcOAiPRx5G7+mJKT6dlENZI5tmXEi6sQM7HU4NvXEO9sWxvjea/Y1myZeTL/N9xPcsj1hOgjFrMBw3Bzceq/cYQxoMsb1+iBmpsOO/sO0DyEjOWtd4UFYNomfNcs1asdnIZ1N5xwa2TALDO8hkVnSc+zvRcWn0S3agTqYOHRpmFCftzPzsasTfw5E//90NvQzUIsiqef363T0knk5AR94yYUbh5OdE2641SY5LJzk+neR4Y9b/cemkpxQ8OfDNHJzsigwend0d0NtJ/54Kx0Y+fEXJKaXYf+BpYmN3EBNTjcSEYTzzzLN3vhVAGZcZpRRHjk7gypW1uLjUpUH9b/n888UkJycTHBxM//79peWDrSvDMqMyM0n+6y/iVoSR+PvvkJEBgGZvj2v37ngOGohL+/Zoej0ZV1NKNP1FSkZKVj/E8G85m3AWADvNjpBaITwd9DSNfGysH2LiJfh9Fuz/DlBg5wjtXsjqg2hwLe/cFc5GPpskMCyYXdFJxK3aFXWd6Pg00OBXZyM1ExwxoDBq8JuzEQVEx6fRfOZGHOx0gIamgcaNpuOa1bobH5Kalv3I9TzZabSsDa22ydlnTnpuSp+zv5uPiabl2veNfd6cRzTrY+SXx3yPmU8eyXNOufKUa/8UmJ+br0Ou/ORzHW4+ZrGufX55LMkxc13b3OekUHyXeJ0nsMOAytP82KjBD/oUBraujJezfZ4vTplGU1agGJ9uCRZzB4456zONZoypmRhTM4m9lEJhnNzsbwSONzVfdfE04OzhgLObg4xCK0Qp0DSN+vXeZOeuh/Dx+YfLl/7i0KHWBAcHl3fWSpkZR0MVNM2BBvXfISzsZ5KTk/Hz8+Phhx+WoFBY0ezscH3gAVwfeIDM2FgSfllDXFgY6eHhJK5fT+L69dj5+eHRrx+eAwfg3iMQt+41ybiYbDX9Rcqey6TsuWw1/YVTDTceb/A4j9V/jC3nt/DNsW/Yc3kPa06vYc3pNbTya8WwoGF0rtEZnWYDP5S6+UO/hdBmFGx4Hc5sg23vwf5vs0YvbfYk2GJ/SVEhSI3hHfTTgX948fsDluX6Rj3dUu3Z5GTkhMOtzl8h7gX1jXr65tP8eLWzkQgHEwB6nYankz2ezvZ4uzjg6eyAl7M9Xi4OeGX/7+nsgLfLjf89nezR6zQy0kwkZQeKKdnBY1Jczv/pJMdlBZdmU/FuD5pOywoas4NHV09DdnNW61pI6f9YRmzkV1lx6yIj3+PM2e85cqQZDvYtGTNmzJ1975RTmUlLv4TBwY89e/bwxx9/8Oyzz+Lj41Pm+RC3wAbuM2nh4cSFrSTh558xxcVZ1ju1bInnwAG4hfRC7+qCMiuMZxKygsRiTH9xNOYo3x77lg1RGyz9EAPcA3iq4VP0va+v7fRDVAqOr4GN0yA2KmudfxMImQO1OpVv3vJjA2UGpMawMHdtYLhw4UIWLlyI0WgkMjKyXF78HZExDPn87yLTvTOoKU1reKBU1ntcZfegznllctZl/c1Zl5UqK426kTYnvdXz2ftUuZ7PdQyVa3/kSn8jP7mev+mYNx8jd3pypb95f9x0TJXfOeQ+5+wnCz6/G8fM//ysj2E5fiHnQD7X8Ob95Rxc3bS/m88753gFnl/2ujMxSeyIvA6KfJsfr3a9MeHvrXJ3tMMrVyDp7Zx/UOnhZI8rOuyMZjKTMwushUxJNN44iSLo7XV5m6/mBI+5aiHtDfJr522xkQ9fcetMpjQyMtL4++8DtG3bFienOzxEfRmVmaz7oBlNy/seT09Px2Aw3PE8iFJiQ/cZs9FI0u9/ELcyjORtf4I568d3zdkZ95AQPAcOwKlVKzRNQ2Waiz39xaXkSyw9vpQfTvxAojGr/7+7gzuD6w9mSIMhVHauXC7nm0dmOuz6DLa8C9nzNtLgEXhwJvjcV755y81GyowEhgW7awPDHLbQx/BSfFq+35s1kD6GwkruHxOczfBsgiMGIF2D/3NLIyW7FcvXz7Smvp87sSlGYpONxKZkEJtiJC7FyPXkDOJSjMSmGLmekv1/spGEtOL3P7yZk73eKnDMXUvp6WiHh6bD2axhyFDYpZsh1URGUgYp2TWRyfHppCeXoP+joz5v38ebmq+6eBik/2NBbOTDV1QgZVRmLlz4jkuXVhIU9C5GoxcGg+HOB73izrDR+0zG5cvE/7Sa+LAwjGfOWNbbB9TEc8AAPPr3x94/a2AZs9FUrOkv0g2ZrDq1iiXhSzifmDXfop3Ojt6BvXk66Gka+jQs03MsUPI12DwH9nwFygQ6e2g7Gh6YAk6e5Z07mykzEhgWTALDO2z9kWieX5I13HLuC50TBi56qoWMSiosbv4x4ebmx7fzY0KmyUxcak7QmJEdUOYKKpMzuJ4dXOY8H5eagekWp/Ow12uWmkhPZwd8HO3x0evx0HS4mXU4mRT2RoUuzYxKzSQjKZPUBCOZ6aZiH8PJzT67+Wre4DGnZtLJzQHdvfbDi418+Irbp5Qi+tIKrl37HVeXl6ldu/adOVAZlJmUlCh27uqD2ZxK7dqvsX6dEaPRyJAhQ6hc2UZqXkTx2fh9RilF6v79xIWFkbh2HeaU7P70moZLhw54DhyAa/fu6LJrqYsz/YVDQy+2Xt3GN0e/Yd+VG1NptPFvw7CgYXSq3sk2+iFeOQ4bX4dTv2UtO/tAl6nQciToy3F4ERspM+UdG9gyCQzLwPoj0bz587GsgWiyVfFwJLRPkASFIg9b+jHBbFYkpmdm10QaicsOInMHljnrcp6/nmLEmHlrfWg1DSoZ7KnqYE8lOzu8NT3umg4XExgyFHqjQks1YUrJRJWg/6Ozu0P+I7DmCiTvqv6PNvLhK25fevpl/trRHbM5lYiI9vToPp169eqV/oHucJlRysTevY8Tn7AfT8/7OX9uEAcOHMLFxYXRo0fj7u5+x44t7pAKdJ8xp6SQsGEj8WFhpOzebVmv8/DA4+GH8Rg4EMdGQZbPgOJMfxFZKZpvTnzLxjMbMamsHzQD3QN5Ouhp+tzXByc7G6gJP/kbbHgNrkVkLfs2gJ5vQd0e5ZMfGykzthAb2CoJDMuIyazYFXWdK6H/ofKb02hTy1uaj4oCVeQfE5RSpGaYbtQ6puSqiUzOCSyzgsucJq+xyRkkpZegqasCJwWuSsPFrFFJr8dHZ4enpsNNaThlgn2GQpduzmfSj/xZ9X/MroV09nTIMwKrg6NtD+Z8cs9l/vx0F53GtKVOS6mFuRucOfspkZHvYDQaOB05gtGjJ2FnV8rl8A5/YTtz5hMiT7+LXu+Ki/M7rFmzA03TGDZsGLVq1bpjxxV3kI18yS8p47lzxK1cSfyqn8iMjrasN9Srh+eggbj36YOdt7dlfVHTX6TVt2NZ2ip+OPkjiRlZ/RA9DB4MrpfVD9HX2bfsTi4/pkzY+xX8MRtSr2etq9MjK0Cs3KBs82IjZcZWYgNbJIFhWbORN4WwfffajwnGTDNxqTeCx5wmrVk1kTcCydw1l3GpGRR2B9MUOCtwNWu4KQ1Xc1Yg6ao03JUOD7KWHYrfetXS/9E5u9bRNed/y/yPDri4G9Dbl31zoqT4dJa8sQNTmgm9ox1PzbwfVw8ZzKOiM5uN7Nz5CCmpkURfrEtAwOt06lTKIw7ewc+mxMRwdu8ZgFIZVKnyGit+vIjJZKJ79+6lfx6i7FTw7zPKZCL577+JXxFG4m+/oYzZg7vZ2+PWpTMeAwfi2qkTWvaPMEqpPNNf5NC52WPf2JMdXodZdOVLLiRfALL6IT5U6yGGBQ2jvnf9Mj9HK6mxsPU92PkpmDNA00OrZ7KamLqU0UjANlJmbC42sCESGJY1G3lTiApEykyBTGZFQmqGVQ2kdZPX3IHmjZrLjJuaoeqzg8esGsismkg3c3YgmR1Qupk1HIpd/wj2znY4ezjg7uWIq1fevo+l3f9x3eGLbP4ynOqpWEayPe8E3Z61/VpmUbTY2F3s2z8EpeDokUcYOXJW6Ta/vEP3GbM5nd27B5CUHIG3Vze2bAkiLi6eevXq8cQTT6DT2UB/LHFr7qLPJlN8PAlr1xK3Ioy0I0cs6/W+lfDo2xfPgQMx3HdjdM/Cp78wcDkwmSW6lWxI/sOyvm2VtgwLGkbHah3Ltx9iTCT8+gYc/yVr2eABnV/JmhfRLu80WaXKRsqMzcUGNkQCw7JmI28KUYFImSlVSimSjSarwXdyAsobzVvz9qFMMZqwzwkgs4NIN0sN5I3A0tWsYVfMAFIBOmc99q72OLlnBYye3o74+Drj6e1oadZqcCm8/+P6I9HM//IgffKZ+/JnZyMTnwmW4PAucPTYy1y6tJKkRG8yM6cwaNDg0tv5HbrPpKVf4tChUaSlRRMXN5F9e0/i6enJ6NGjZTTSiu4u/WxKO3GC+LCVxK9ejen6dct6p+BgPAYOxP2h3ujd3Czrraa/OBaDMt7oY5/pq+NvryP8n/l7LtlfA6CWR62sfoi1++Bo51h2J3azqK2w/jW4fDhr2bs2PDgLGjyc1eH/TrCRMmNzsYENkcCwrNnIm0JUIFJmbEJahqmAmkjrKUJik40kJxnJSMyANLNVwJj7fxeVVbNXHGYNMg06cNKjd7bDkD0aq7u3AQ8vR9759QTdr2oYAC3XPhWKdODn6rDpNZkWp6IzGq+x/a8emM2JHD7UgwEDXiMgIKB0dn4H7zNmcwYpKVFoWjVWr15N586dqVq16h05lihDd/lnkzIaSdq6lbiwlSRt2QKmrD4HmqMjbj0fxHPgQJzbtEHLVetd2PQXV30SWWX4jU0uO4i3S8LL4MXg+oN5osETVHKqVObnl5VhExz4DjbNguQrWesCO0HIbKjStPSPZyNlxuZiAxsigWFZs5E3hahApMxUWJkmM/Gp1iO55jRpjU1OJyHWSHJ8OsZEI5nJmWipJuzSzTjnCiKd1e0FcwrFFZ3CKdiLOtXd8fJyxLeSE36+zvi4O2Kvl6Z8FcmVKxvYtSuCs2f19O3blxo1apTOjkv5PqOUuntG+RX5u4c+mzKvXiV+9c/ErQzDeCrSst6+WjU8sudGdKhezWqbgqa/MGuKo+6nWe+yjR2uB8m0N/Nw7Yd5Ouhp6nndgRGHiyM9Ef78AP76L5jSAQ2aD4Vu08HNv/SOYyNlxuZiAxsigWFZs5E3hahApMzcU5RSJKRlWpq0xsSnEROTSvz1NJLi0kmNTycjKRNzSiZamhlDmhl38619AU9Dka6HTDsNs0GHzlGPnZMdjq72uLg74ObhgJeXIz4+TlT2dcbPyxknB30pn7EoqfT0dOzs7NDrS/G1KOX7TMSJGdjZuePjPZyzZy8QHBxcavsWNuIe/GxSSpF26BBxYStJWLMGc9KNqSyc292P58CBuD34IDpH6yaiWdNfXCPl4BWr6S8ydJnscDnIFvc97HY9SqtqrRnWaBgdqnYonx9W4s7BbzPgyIqsZXsX6DQJ2o0D+1Jo+m0jZcbmYgMbYtvjrgshxD1G0zQ8nOzxcLInwAcookLor1PXWDZ/P3Uydfk2TVUokjTIdNHjkKnQZygcTAodGo5oOJoAE5BuhgQzkAGkkgnEZj9OZ+8rA0WaDjLsNEwOGppBj52THgcXe5zdsgJJD09HfHwcqeTjjL+PMx4u9lJzVMoM2RNyp6ScJTMzHnf3O9Dk6zbExGzlwoVvAfh7RyInTyri4uLo3LlzOedMiNujaRpOwcE4BQfj9+q/SfztN+LCwkjZ8bfloXN1xf3hh/EcOADHpk3RNA29hwG3TtVw61TNavoLrqbyQGJLHkhsSZIuhe2XDvDpqfnMqzKPpxo9xcO1Hy7bfoieNeHRL6HtGFg/Ff7ZA7/Pgr2LoccMaDzozvU/FDZBAkMhhKjA2tb24TV/HTUvgAGVt4+hBuurwabXOlv6GCqzIiUpgyvXkrl6LZXr19OIj0sjMd5IapIRY3ImptRMVLoZvdGcFVCiYY+GvRkwAkYFSZlAJpAOQGL240L28c0oUjUw2kGmvQ4cdOid9Di42OHk6oCLhwMenoas5q0+LlT2daKSmwE7ad5apJiYrRw8NBqlvDGbXufBBx8q7ywBkJERR3j4qwCYTV04eVJhMBho3LhxOedMiNKlc3LCo08fPPr0wXjhH+JXrSJ+5Uoy/vmHuGXLiFu2DIf77sNz4EA8+vbBzjdrPkN7X2fsewTg1r2m1fQXrgkQEt+ekPj2XP8nnq0n9jLWN4xWzTswuMHgsu2HWKMNPPsrHPkxqwYx/jyseDZrqotec6B6q7LLiyhTEhgKIUQFptdpvNo/KN9RSTU0fnUy8mr/YKuBZzSdhou7A7XcHahV26vIYyilyEjL5Nr1NK5cTSHmeipxsVmBZEqikfSkDDJTMzGnmdAZzdhlgEP24DouClwygAwFKSaIM5EVWaaQBqQBl4Hj2cdK1RTpOsi011AOWc1b7Z3tMLja4+LmgFt2IFnJxxm/yk5U9nTC0f7ea97q4dEcnc4Vk+kS58//H5cutcDfvxT7At2iiBMzSDdeRq+vxvY/s0bC7devHz4+ZTRPmhDlwKF6NXxfGEelsc+TsmsXcWFhJG78FWNkJFfefZcr77+P6wMP4DloIK6dO6PZZ7WkcKjmikM1Vzx61bJMf5Fy6CreqR70j+1G/9huREdd5RuPBWhN3OjTZiB1vOqUzUnpdNB0MDR4BHb8N6sP4oVd8EV3aPJYVg2ihzTDvNtIH8OyZiPtq0UFImVGFIOtzWNoyjATF5fGlWspXL2WFUgmxKeTHG8kLcmIMSUrkNTSzdhlZjVv1UowT2QOY67mrWYHDS27n6SDi11281YDHp4GKvk44VvJmco+Tng43R3NWy9dWs3RYy9hMum5dGkMTz/10q2fVyncZy5f/oUjR18E9Bw98jDXr3vQrl07QkJCbmu/wkbJZ1OhTImJJKxbR/yKMFIPHrSs13t7Z9U0DhyIY/28g83kTH+RvP8yyUevos+88Z6ONJznTPVrNOjYkjYN2pftfSwhOqtZ6YH/AQrsHKH9BOjwIhhci7cPGykzNhcb2JC7NjBcuHAhCxcuxGg0EhkZaTsvvo28KUQFImVGFFNSfDpL3tiBKc2E3tGOp2bej6uHobyzVSxmsyIl0WgJJK9fTyU+Lp2khHRSEzMszVtJN6HPUNhnN28tKVOu5q0mex0Yspu3Otvj5GaPq3tWP0lPb0cq+zhT2dcZH1cHm2zeqpRi954nSUzcxfWYajRosJAmTZrc2s5u8z6Tnn6Zv3c+RGZmHNeu3U/4sbrUrFmT4cOHl+4gOcJ2yGdTsaVHRhIXFpY1N+LVa5b1jo0b4zFwAB4PP4zewyPPdjnTX0TvPIVdVAZ6deM+FOn2D/rGHrTs2gkn92IGZqXh4gHY8Bqc3Z617OoP3d+A4CFZtYyFsZEyI4Fhwe7awDCHzb34NvKmEBWIlBlRAif3XObPT3fRaUxb6rSsXN7ZuWOUUhhTM7l2PZWrV1O4dj2N+OtpJCakk5yYgTE5g8yUTFSaCc1oxj4T7G/h005lB5LpejDZaShD3uat7p4GvLyd8PVxwtfXmcoejmXWvDU5+TR/7+wFmIiK6s2wp9/HwcGhyO1yK40yc+3aHxw+Mh69vip//N4WZ2d3Ro8ejbu7+y3tT1QA8tlUYiozk6Rt24gPCyPxj82QmQmA5uCAW48eeAwciEu7+9Hy+THFnJLBP3tOcnn3aSpfdUNHVhBmwkRMlRSq39+ASs1qojOUQS8xpSB8Nfz6BsSeyVpXJRhC5kBgh4K3s5EyY3OxgQ2RwLCs2cibQlQgUmZESUmZyVem0ZTVvPVqCtdi0oiNTSUxLp2k7H6SGbmat+ozFAbzrR0nPad5q31281aDHjtnOxxd7HByc8Ddw4CHlyM+3k5UruSEr/ftNW89cfJdzp//hPR0ZwyGuXTvVvyBaEqzljkl5QxKmbl40YS9vT2BgYG3tB9RQch95rZkXr9Ows8/E7cijPQTJyzr7apUwaN/PzwHDMChZs18t427FsO+P7ZiH55OrZQb8ydm6kxo9Vyo3KoWjvW90ezvcEuHzHTY+QlsfQ/SE7LWNewDD84E79p509tImbG52MCGSGBY1mzkTSEqECkzoqSkzJQKs8lMUoKRqzGpXL2WwvXraSTEpZGUYMxq3pqSgSnVlNW81XhjGpCSykSRqgOjHsz2OnDUoXfMmgbEyc0BVw8HPDwc8fJ2pHIlJ/wqOePlcqN5q8mUxp/bexF5ypvLl5vz0ktTcHQseoh7W+uXKioYuc+UCqUUaUePER8WRvwvv2BOSLA859yqFR6DBuEe0hOds3OebTPMGWw9uIkzO44QdCmAGsYbA1CZHcC1qR/Owb4Y7vNE093B/ohJV2Hz7KxpLZQZ9A7QdjRoenBwgc6vZKXLXWa2vANmE3SdeufyVQCbiw1siIxKKoQQQuRDp9fh7uWIu5cj99Up3uit6SkZN0ZvjcnuJxmfTnKiMbt5qwmVnjV6q30m2CmwQ8PNDJi5MXorOaO3JpMKpAKXgHCypgFJy27emmmvgYMOHEPR21/Ayb0G3/x4EncPA57ejvj6ZAWSlW5q3rr+SDQLvjpEn9QbzU51aASkwvwvD8IzFBkcKmXi2LFX8PHpx+bNF+nZsyfe3t4lvs5C3Ms0TcOpcSOcGjei8r9fIWnTJuLCVpK8fTspe/aQsmcPl2fNwu2h3ngOHIhT8+aW1gX2Onu6N++FahbC/sv7+GbnapwjoEtCSyoZvUjZc5mUPZfRudrjHOyLU7AvDjXcSn/QGldfeOQDaP0cbHwdIn+Hvz4Ce2fISAGzGbq+eiP9lnfgj7eg6+ulmw9x2yQwFEIIIUqBpmk4ujhQ3cWB6jWK17cuw2giLvZGIHk9No3E+HSSE25q3mo0Y5ehcDBnBXDOCpxzppFMNUM8QDXATIZ2iRilIwaNyOzjpKFI198YvfV6eia9jfaofOa+fDDFnjkrj/JAPV+cHQr+mnDu/JdcuryKi9HrOHmyP/Hx8YwaNequGPFViPKgMxhwf+gh3B96iIzoaOJ/+om4sJVknDtH/I8riP9xBQ6BgXgMGIBH/37Y+/kBWfeeFv4tadGvJecTzrPk2BIiDh2k3fWmdEpsjnuSK0nbL5K0/SJ6b0ecg31xbuaLvZ9L6Z6AXxA8FQYnf80aoCbmZNb6LXMgNir7/1xBYU5NorAZ0pS0rEnTC1FSUmZESUmZuWuZTGaS49O5fC2VmJhUYq6nkpA9emtaUiZ2umNUv28xl053IiGyMw4mrcTNW80oTtqZWe1qxNlBj5ezAx5O9ni52OPp5ICnsz1VnC/SwP5FNDI4ceJ+rl5tQMjAJ6kTUB0PJ3ubHMVVlDK5z5QJpRSpe/YQF7aShA0bUCkpWU/odLh07IDnwEG4duuK7qZBp+LT4wk7Gcb3R5dS7aoPXRNacX9SME7mG32I7au44BTsi3OwL3ZeRTc/LxFTBuz5EjbPgdTY7JMBNMo9KLS52MCGSGBY1uRGKkpKyowoKSkz96yzZz/jVORcMowG3Nzm077dg6SlZGT1k7yaNQ3IgSNXcD6RXOS+vnRLI0af9yuCXstkWtt51HT/h5iYahw72pXtGbU4afK1pHFztMPLOSuI9HR2wNPJHq+c/53ts4LN7L9Zzzng5miH7k72gxKlS+4zZc6UlEzihvXEha0kde9ey3q9hwfuffrgOWggjg0bWm2TYc7g1zO/8vWxr4m8eor7E5vQOaEVbZIbo1c3mpc7BLjj3MwXpyaV0LuWbGTjQqXGZtUS/v1xdmYdYPrV0tv/LbC52MCGSFNSIYQQ4i5Ro8ZITkd9h73DBc6eW0DTpu1wc3OjpqsDNQOy5klzqe3Gsvn7qZOpy7c2MafGcO7IltSp7EpcagaxKUbiU7L+GlK/wE/3DxkZBk6eaEeMoSrpTjVxS80gMS1r+P3EtEwS0zI5d734eddpZNVM3hQ0ejo7ZAeVNwWWTvZ4uTjg4qCX5qvinqB3dcFz0CA8Bw0iPSqK+JWriF+1iswrV4hdsoTYJUswNGyI54ABuPd5BDsvL+x19jxU+yF61+rN3st7+ebYN8w6/xkuJic6JjSnd8oD1E2ojvFsAsazCcT9HImhjldWkNjI5/anv3DyynoAmDXAmBUoSjNSmySBoRBCCHGX0OnsCW46l/0HhlK58nH+2Pwlffu8aJWmbW0fXvPXUfMCGPLpY2jU4JC/jg8aVEZ/Uw1efPx+9uxdDsCpk23x9g5kyrMjLXMnZprMxKdmEJuSQXyqkdjkDOJSM4hLMRKbYiQuJSPrkf1cfHbQmWI0YVYQm5K1bUnY6zU8nG4KHrODRk/nrOavXs72lmAzpyazrOaaFOJOMNSqReVJL+H74gSS//qLuBVhJG3aRHp4OJfDw7n87ru4deuG58ABuHTogGZnRyv/VrTyb8XZhLMsObaEnyJ/Yn3mdnwqe9A7tTMPp3bG87oT6SdiST8RS6ydDqeG3jgH+9769Be5+xTO+xMmd8xaBgkObZAEhkIIIcRdxNv7ftzde5GQsB5lXsK5c32pWbOW5Xm9TuPV/kHM//IgfVKsm4xpaPzqZOTV/sF5gkKAy1fWAGYSE4NITKzHqFGDLUEhgJ1eh4+rAR/Xks2FmJ5pyq6RzAkiswPLFOvaSqvAMiUDY6aZDJPiWlI615LSS3RMR3udpc9kTi3kjRpJ+1zPOViawXo42eNgJ/0nhe3Q9HpcO3XCtVMnMmNjSfhlDXErw0g/Fk7ihg0kbtiAXeXKePTrh8fAARhq1SLAPYDX73+dF5q/wA8nfmBp+FKW2K9miftqavlU5zn9kzS7Ugfteiaph6+RevgamqMep8aVSjb9xc0Dzcz780YwKMGhTZI+hmVN2uSLkpIyI0pKysw9z2i8xtZtXdC0VK5d7c5jj32CTmcd0NzKPIZKKS5fXo2HR0diY9OpWrVqWZxOgXlJzTARZxU8ZgWNcSkZxCYbLbWVljTZtZkm861/9XE12OUZjCdPf0oX+1y1mFkBZX6BdoUm9xmblnb8OHFhYSSs/hlTXJxlvVOLFngOHIBbr97oXbNGJc0wZbD+zHq+PfYt4dfDsxIqGOzRn8cye+N+Uo85wWjZh87NHuemxZj+4o85oNPLPIYViASGZU1upKKkpMyIkpIyI4DIyK84c/Y/xMRU477aH9CyZcs8aZLi01nyxg5MaSb0jnY8NfN+XD3yr+3LyMjA3t7+Tmf7jlNKkZieaVULaQkak3MHkDk1lFkBZnxqBrf6jUnTwN3RvtDBeKyfc8DTxR43g53N9Z80mRW7oq5zJfQ/VH5zGm1qed99Qe9dxGw0kvTHZuLDwkjati1rTkFAc3LCvWdPPAYNxLl1azRNQynFnst7+OboN2y+sNmyjyCvhoz2HkHw5ftIP3odc0qm5bkSTX9hI59NNhcb2BBpSiqEEELchWrXHs7Fi4lEnU6hfr38P+5dPQx0f7ohf366i07D2uYbFGZkJHDy1Hts2+pJnTrBdO3aNU/tY0WiaRrujva4O9pTw9u52NuZzIqE1Iw8g/HE5Wr+mqeGMiWDxPRMlIL47ODybExKsY+p12l4OtmXaDAeL2d7nOzvzIA8649E8+bPx4iOT4PqPeDzv6ni4Uhon4JrmUX50jk44B7SE/eQnmRcvkL86p+ID1uJMSqK+J9+Iv6nn7CvUQPPgQPw6N+f1lVa09q/NWfiz7AkfAk/nfqJY7HhvBj7byo7VebJvkPorw+Bo8mkHYvBdD2NxD/Ok/jH+Xynv0jYdI6EX8/i/mAA7jcvd69ZvhdH5CE1hmXNRn4tERWIlBlRUlJmRDaTyUR6ejrOzkUEQIWUmaNHJ3Pp8iri4vw4HTmA559/HldX1zuQ27tThslMXK4+k3E39ZvMb6CeuJQMUjNMt3xMB73O0nfy5lpIz5sH6slVY2mwK3hAnvVHonl+yT5u/tKYE34ueqqFBIcVhFKK1P0HiF8ZRsLadZiTs6ev0TRc2rXDY+BA3Hp0R+foSFxaXFY/xONLuZqaNc2Ek50T/e7rx1N1nsT3HxdSDlwl7UQsmG6UDocAd3ROetKOx1rWGZLOku4aYFkur+DQ5mIDG3LX1hguXLiQhQsXYjQai04shBBC3IX0ej3Ozs5kZiZx/vxiAgKeQ6cr/sAwV65s4NLlVSilcfZMCx599FEJCkvIXq/D182Ar1vJBuRJy+4/eWME1xuBZb6jvGavzzApjCYzVxLTuZJYsgF5nOz12SO4WgePHk52LPn7XJ6gEG7MWf7mz8d4MMhfmpVWAJqm4dyiOc4tmuM3dSoJGzcSH7aSlF27SP7rL5L/+guduzvuDz+E58CB/KvJvxjRaATrz6zn66NfExEbwfcR37MsYhldanRhWMgwmj/ahtSjMaQeuEp6VDzGswl5jpvuYh0EJvx6VmoNbYzUGJY1+SVflJSUGVFSUmZELkopdu8ZQGLiYdLTetG793/zNjPMp8ykG6+xY0dPTKZ4zp1rTJ37XqZTp05lmHNRUkopUoymfIPG+JR8RnlNvRFo3sZ4PBa1K7lQzcspe1qQGwFm7rkpc0Z8dXO0QydBpE0xnj9P/MqVxK1cRWZ0tGW9oW5dPAYOxKNvH/Te3uy+tJtvjn3DlgtbLGmCfIIYFjSMnoE90SWaSTl0jcRtF6wGrbmZ1Bjanru2xlAIIYQQWbUDvpWGkJh4GDv7Xzl8+A+aNu1W6DZKKY4e/TcmUzxJSV4YHAbRoUOHMsqxuFWapuFisMPFYEd1r+JvZzZnDciTZwTX7JFd952NZevJa0Xu5/S1ZE5fSy7WMXUalmau+U4Xks/APHey/6QAhxo18J0wgUrjxpH899/Eh60k8ddfST95kitz53Jl3jxcu3Sm4cCBfPTAB0SlnGfJsSWsjlzNsZhjvLrtVd7f+z5DGw5lUJtBVO3UlisfH8B4LjHPsQx1PKW20AZJYCiEEELc5QIDB3M66lv0+nAiT/+HBg06Ws0/eLOL0T8SG7sZs1lH9MVeDB/+WIUecEYUTqfT8HCyx8PJngCfvM/viIwpVmA4JaQefu5OVgFm7uawOSO8phhNmBVcTzZyPblkXX4c7HQ3+kwWNAelZdqQ7DRODjL/ZAloej2uHTrg2qEDpoQEEtauJW5FGGmHD5P02yaSftuEvlIlPPr25d8Dn2R88/Esj1jO0uNLuZJyhQ/2fsAnBz/hjcwJNDsXkO8x0k/FkbDpnASHNkYCQyGEEOIup2kaLVvMY/eeR3B3P8v27R/RtevkfNMqZeLcuS8AuPhPK/r1G4eTk1NZZlfYmDa1vKni4cil+LR8+xlqgL+HI2M61ylWH8O0DBPxqRm5gsecQDIj/6Ayd//JzFvrP+nioM+nFjJXUJkzN2WuwXrc78b5J0tI7+6O1xNP4PXEE6SdOEF82EriV6/GdO0a17/8kutffolj06YMHjiQYb1WsOHaNr459g0nY08SHG4d9CmlrGp7pY+h7ZHAUAghhLgHeHrWx811EMkpP5CatpiYmCH4+OSdoF7T9LRquZwLF76hQ/tncXQs/pQO4u6k12mE9gni+SX70MAqOMz5mh/aJ6jYQZSjvR5Hez1+7o7FzkN+/SfzDSrzmYNSKUg2mkg2pvJPXGqxj5kz/2S+TVudHPIEkjnBpqsNzj9ZGhzr1cPx1X9TefIkkrZuJW5FGElbtpB26BCXDh1CmzOH1g8+SI+BL7PX7QxHt2+jsfcDlu0vp53F3ynQsnzk+lacj3ri3ahJOZxNySxcuJB3332XS5cuERwczEcffUSbNm0KTD9//nwWLVrEuXPnqFSpEo8++ihz5szB0TGrzJtMJmbMmMGSJUu4dOkSVatWZcSIEUybNq1cy44EhkIIIcQ9olWrUDZt+hWDIY6/dkynzyP/Z/V8YmIimqbh6upBrVrjyymXwhb1alyFRU+1uDGPYTb/MprH8Hb6TyakZRTatDW/msqkm+afpATzT9rrNTycCm/aml+w6Whf8HQhtkSzt8ete3fcuncn89o14lf/TFzYCoynIkn45RcSfvkF5yqV2VPZDaVpNPbsyJG4bRyL20GQZ/vs5T85Fr+DoOjWNh8YLlu2jEmTJvHJJ5/Qtm1b5s+fT0hICBEREVSuXDlP+v/973+8+uqrfPnll7Rv354TJ04wYsQINE3j/fffB2Du3LksWrSIr7/+mkaNGrFnzx5GjhyJh4cHEyZMKOtTtJDAUAghhLhH2Nk5Ubv26+zbv4CLF3VERW3Bp5IP+KaSHL2G7X/9wJXLfjz00BMEBjYv7+wKG9OrcRUeDPJnV9R1roT+h8pvTqNNLW+bbm6p02nZAZgDgbgUe7uc+SctwWNy3qatVsFm9v/pmWYyTIprSelcSypZc1dHe12hTVtzD8Ljaam5tMdOX379J+0qVcLnmZF4jxxB2uHDxIWFkbBmLfpr19FVcuFY3F8ci/uLnLrlY3E7spdBZzbjWNQcqzbg/fff57nnnmPkyJEAfPLJJ6xZs4Yvv/ySV199NU/6v/76iw4dOvDkk08CEBgYyJAhQ9i5c6dVmn79+vHwww9b0ixdupRdu3aVwRkVTAJDIYQQ4h5y330Pc+78LCpV+p3TUb9zOgoYCoRPwMsLvLzg7Lk/qFlzW4nmPBT3Br1Oo919PpAQCfflM1LNXeJW559MNZryqZG80bQ1/36UGZjMirQMM9HxaVY1ssXh5miXt79kISO7ejo74GYo3elCNE3DqWlTnJo2xe/VV4n5ajGdP15Iup2O4/f15Lo+PDulwtvUkIaRG3HINOPmUYLq31KWmJhIQsKN+RYNBgMGg/XrbTQa2bt3L1OnTrWs0+l09OjRgx07duS73/bt27NkyRJ27dpFmzZtOH36NGvXruXpp5+2SvPZZ59x4sQJ6tWrx8GDB/nzzz8tNYrlRQJDIYQQ4h6iaQ64uQWQmHgEChhKxMmpKppW8KilQoj8OTnocXJwoopH8QdsUip7upBk6xrJnOlCrGsmbzyfkJYJQGJaJolpmZy/Xvz+k/rskWhzah1Lc7oQnaMjrp064bRgAQmeLUjybAGJ4ZbnkzxbkOZ6EY+r+/K/BZWRoKAgq+XQ0FBmzJhhte7atWuYTCb8/Pys1vv5+XH8+PF89/vkk09y7do1OnbsiFKKzMxMxowZw2uvvWZJ8+qrr5KQkECDBg3Q6/WYTCbeeusthg4dWjond4skMBRCCCHuIZqm4ec3isTEgvoQKvz8Rt2Vg2cIYYs0TcPd0R53R3tqUvymlZkmc9borqk5gWSu//MM0nMjqEzNMGEyqzs6XYjb+au42LsSUW8ImmYE9IAJ0KNpBiLqDcEr7gTppgzKa8zjY8eOUa1aNcvyzbWFt2rz5s3Mnj2bjz/+mLZt23Lq1ClefPFFZs2axfTp0wFYvnw53333Hf/73/9o1KgRBw4cYOLEiVStWpXhw4eXSj5uhQSGQgghxD3mqy930qy5N66u18kd/ymlkZTozVdf7mTGjIfKL4NCiCLZ6XX4uBrwcS1ZQJMzXUjeWsgCgsrUkk8Xcl/cBUbVe4JMOwOa5ozBYyTKnIqmc0LTuZOpMxFR7wnSL6XQJvh2rsKtc3Nzw93dvdA0lSpVQq/Xc/nyZav1ly9fxt/fP99tpk+fztNPP82//vUvAJo0aUJycjKjRo3i9ddfR6fTMWXKFF599VWeeOIJS5qzZ88yZ84cCQyLUtIhYoUQQghRsIEDB7F58yUaNf7Nar2mKc6da87AgYPKKWdCiDvtVqcLSTaa8hl0J5+gMjUD97RYrvnWtWyv6dzRdLmCME3PVd/mOF4p2QA9Zc3BwYGWLVuyadMm+vfvD4DZbGbTpk288MIL+W6TkpKCTmc9IJBenzXirFKq0DRms7mUz6BkbD4wLOkQsUIIIYQoXNOmTfHxeYPdu/fj6haDpt2oLRw06A2r5lVCCKFpGq4GO1yLOV3Ijr88OPP+r1z3aQxaPtNwmE34xBymcp2Q0s9sKZs0aRLDhw+nVatWtGnThvnz55OcnGwZpXTYsGFUq1aNOXPmANCnTx/ef/99mjdvbmlKOn36dPr06WMJEPv06cNbb71FzZo1adSoEfv37+f999/nmWeeKbfzhAoQGJZ0iFghhBBCFE3TNM6cbUaTJpuylxVnzjajTRvpWyiEuD1t7m/EO3WP80As2KPQuHFfUSgydLCsXk1+bBtUyF5sw+OPP87Vq1d54403uHTpEs2aNWP9+vWWAWnOnTtnVfuXM0n9tGnT+Oeff/D19bUEgjk++ugjpk+fztixY7ly5QpVq1Zl9OjRvPHGG2V+frnZdGB4K0PEpqenk55+o1o6MTHxjudTCCGEqGhcXFzIzKhLWtpRHB0vkZbmT2ZGXVxcij/XmxBC5Eev0xg9tAPzvzxInxTrGkMNjQ3OJiYO7WDTc2Dm9sILLxTYdHTz5s1Wy3Z2doSGhhIaGlrg/tzc3Jg/fz7z588vxVzePpsODG9liNg5c+bw5ptv5n1i5EhwKq9xj3LZtQv69i3vXIiKRMqMKCkpM6IYPICJmkZ8lIETbc0022kg5MKf2G3dVt5ZExWB3GdEEXoByq0Wmz17Ud3kgA4NM4rzeiMTL6+n12sfl0/GUos/rce9xqYDw1sxdepUJk2aZFn+559/suYp+eorqF69HHOWrW9fWL26vHMhKhIpM6KkpMyIYrIDfIB2UmZESUmZEcXQG+gUn86SN3ZgSjNh72jHGzM74urRu/wydeEC1KhRfse3Ybqik5SfWxki1mAw4O7ubnm4ubmVRVaFEEIIIYQQN3H1MND96YY4m1PoMawhrh6lM1+gKH02HRjmHiI2R84Qse3atSvHnAkhhBBCCCGKo24rP0Ze/pw6LWVGAVtm801JixoiVgghhBBCCCHE7bH5wLCoIWKFEEIIIYQQQtwemw8MofAhYoUQQgghhBBC3B6b7mMohBBCCCGEEOLOk8BQCCGEEEIIIe5xEhgKIYQQQgghxD1OAkMhhBBCCCGEuMdJYCiEEEIIIYQQ9zgJDIUQQgghhBDiHieBoRBCCCGEEELc4yQwFEIIIYQQQoh73F0bGC5cuJCgoCC6dOlS3lkRQgghhBBCCJtmV94ZuFPGjRvHuHHjOHfuHAEBAURHR5d3lrKkpsKFC+WdC1GRSJkRJSVlRpSUlBlRUlJmREnZSJnJiQnMZnM558T2aEopVd6ZuJN2795NmzZtyjsbQgghhBBCCBuxa9cuWrduXd7ZsCl3fWCYmZnJ/v378fPzQ6fL23K2S5cubN68uUzykpiYSFBQEMeOHcPNza1MjlmW51cexyuPY0qZqdjHK49jSpmR49nyMaXMVPzjlfUxpczI8UrKlsqM2Wzm8uXLNG/eHDu7u7bx5C2566+GnZ1dob8GODg4UL169TLJS0JCAgDVqlXD3d29TI5ZludXHscrj2NKmanYxyuPY0qZkePZ8jGlzFT845X1MaXMyPFKytbKTM2aNcskDxXNXTv4THGNGzeuvLNwR5X1+ZXH9bwXzrEs3QvX8144x7J0t1/Pe6GMlrW7/TWUMlP67vbX8G4/Xnm4F86xtN31TUltSUJCAh4eHsTHx5fZryWiYpMyI0pKyowoKSkzoqSkzIiSkjJTMdzzNYZlyWAwEBoaisFgKO+siApCyowoKSkzoqSkzIiSkjIjSkrKTMUgNYZCCCGEEEIIcY+TGkMhhBBCCCGEuMdJYCiEEEIIIYQQ9zgJDIUQQgghhBDiHieBoRBCCCGEEELc4yQwFEIIIYQQQoh7nASGZWjhwoUEBgbi6OhI27Zt2bVrV3lnSdiorVu30qdPH6pWrYqmaaxataq8syRs3KJFi2jatCnu7u64u7vTrl071q1bV97ZEjZsxowZaJpm9WjQoEF5Z0vYkKI+i5RSvPHGG1SpUgUnJyd69OjByZMnyyezotwVdU9JS0tj3Lhx+Pj44OrqyqBBg7h8+XI55ljcTALDMrJs2TImTZpEaGgo+/btIzg4mJCQEK5cuVLeWRM2KDk5meDgYBYuXFjeWREVRPXq1Xn77bfZu3cve/bsoVu3bvTr14+jR4+Wd9aEDWvUqBHR0dGWx59//lneWRI2pKjPonfeeYcPP/yQTz75hJ07d+Li4kJISAhpaWllnFNhKwq7p7z00kv8/PPP/PDDD2zZsoWLFy8ycODAcsytuJnMY1hG2rZtS+vWrfnvf/8LgNlspkaNGowfP55XX321nHMnbJmmaaxcuZL+/fuXd1ZEBePt7c27777Ls88+W95ZETZoxowZrFq1igMHDpR3VkQFcPNnkVKKqlWrMnnyZF5++WUA4uPj8fPzY/HixTzxxBPlmFtRHgq7p8THx+Pr68v//vc/Hn30UQCOHz9Ow4YN2bFjB/fff38Z51bkR2oMy4DRaGTv3r306NHDsk6n09GjRw927NhRjjkTQtyNTCYT33//PcnJybRr1668syNs2MmTJ6latSq1a9dm6NChnDt3rryzJCqIqKgoLl26ZPXdxsPDg7Zt28p3m3tYQfeUvXv3kpGRYVVeGjRoQM2aNaW82BAJDMvAtWvXMJlM+Pn5Wa338/Pj0qVL5ZQrIcTd5vDhw7i6umIwGBgzZgwrV64kKCiovLMlbFTbtm1ZvHgx69evZ9GiRURFRdGpUycSExPLO2uiAsj5/iLfbUSOwu4ply5dwsHBAU9PT6ttpLzYFrvyzoAQQojSUb9+fQ4cOEB8fDw//vgjw4cPZ8uWLRIcinz17t3b8n/Tpk1p27YtAQEBLF++XJofCyFKrLB7ipOTUznmTBSX1BiWgUqVKqHX6/OMvHT58mX8/f3LKVdCiLuNg4MDderUoWXLlsyZM4fg4GAWLFhQ3tkSFYSnpyf16tXj1KlT5Z0VUQHkfH+R7zaiILnvKf7+/hiNRuLi4qzSSHmxLRIYlgEHBwdatmzJpk2bLOvMZjObNm2S/j9CiDvGbDaTnp5e3tkQFURSUhKRkZFUqVKlvLMiKoBatWrh7+9v9d0mISGBnTt3yncbAVjfU1q2bIm9vb1VeYmIiODcuXNSXmyINCUtI5MmTWL48OG0atWKNm3aMH/+fJKTkxk5cmR5Z03YoKSkJKtf7aOiojhw4ADe3t7UrFmzHHMmbNXUqVPp3bs3NWvWJDExkf/9739s3ryZDRs2lHfWhI16+eWX6dOnDwEBAVy8eJHQ0FD0ej1Dhgwp76wJG1HUZ9HEiRP5z3/+Q926dalVqxbTp0+natWqMor2Paqwe4qHhwfPPvsskyZNwtvbG3d3d8aPH0+7du1kRFIbIoFhGXn88ce5evUqb7zxBpcuXaJZs2asX78+T6dtIQD27NlD165dLcuTJk0CYPjw4SxevLicciVs2ZUrVxg2bBjR0dF4eHjQtGlTNmzYwIMPPljeWRM26sKFCwwZMoSYmBh8fX3p2LEjf//9N76+vuWdNWEjivoseuWVV0hOTmbUqFHExcXRsWNH1q9fj6OjY3llWZSjou4pH3zwATqdjkGDBpGenk5ISAgff/xxOeda5CbzGAohhBBCCCHEPU76GAohhBBCCCHEPU4CQyGEEEIIIYS4x0lgKIQQQgghhBD3OAkMhRBCCCGEEOIeJ4GhEEIIIYQQQtzjJDAUQgghhBBCiHucBIZCCCGEEEIIcY+TwFAIIUS5O3PmDJqmceDAgfLOisXx48e5//77cXR0pFmzZre8H03TWLVqVanlSwghhLgTJDAUQgjBiBEj0DSNt99+22r9qlWr0DStnHJVvkJDQ3FxcSEiIoJNmzblm+bq1as8//zz1KxZE4PBgL+/PyEhIWzfvr1U89KlSxcmTpxYqvsUQgghcpPAUAghBACOjo7MnTuX2NjY8s5KqTEajbe8bWRkJB07diQgIAAfH5980wwaNIj9+/fz9ddfc+LECVavXk2XLl2IiYm55eMKIYQQ5UECQyGEEAD06NEDf39/5syZU2CaGTNm5GlWOX/+fAIDAy3LI0aMoH///syePRs/Pz88PT2ZOXMmmZmZTJkyBW9vb6pXr85XX32VZ//Hjx+nffv2ODo60rhxY7Zs2WL1/JEjR+jduzeurq74+fnx9NNPc+3aNcvzXbp04YUXXmDixIlUqlSJkJCQfM/DbDYzc+ZMqlevjsFgoFmzZqxfv97yvKZp7N27l5kzZ6JpGjNmzMizj7i4OLZt28bcuXPp2rUrAQEBtGnThqlTp9K3b1+rtNeuXWPAgAE4OztTt25dVq9ebfX8li1baNOmDQaDgSpVqvDqq6+SmZlpuZ5btmxhwYIFaJqGpmmcOXOG2NhYhg4diq+vL05OTtStWzffayqEEEIUhwSGQgghANDr9cyePZuPPvqICxcu3Na+fv/9dy5evMjWrVt5//33CQ0N5ZFHHsHLy4udO3cyZswYRo8enec4U6ZMYfLkyezfv5927drRp08fS+1bXFwc3bp1o3nz5uzZs4f169dz+fJlBg8ebLWPr7/+GgcHB7Zv384nn3ySb/4WLFjAvHnzeO+99zh06BAhISH07duXkydPAhAdHU2jRo2YPHky0dHRvPzyy3n24erqiqurK6tWrSI9Pb3Q6/Hmm28yePBgDh06xEMPPcTQoUO5fv06AP/88w8PPfQQrVu35uDBgyxatIj/+7//4z//+Y8lr+3ateO5554jOjqa6OhoatSowfTp0zl27Bjr1q0jPDycRYsWUalSpWK8OkIIIUQ+lBBCiHve8OHDVb9+/ZRSSt1///3qmWeeUUoptXLlSpX7oyI0NFQFBwdbbfvBBx+ogIAAq30FBAQok8lkWVe/fn3VqVMny3JmZqZycXFRS5cuVUopFRUVpQD19ttvW9JkZGSo6tWrq7lz5yqllJo1a5bq2bOn1bHPnz+vABUREaGUUqpz586qefPmRZ5v1apV1VtvvWW1rnXr1mrs2LGW5eDgYBUaGlrofn788Ufl5eWlHB0dVfv27dXUqVPVwYMHrdIAatq0aZblpKQkBah169YppZR67bXXVP369ZXZbLakWbhwoXJ1dbVcw86dO6sXX3zRar99+vRRI0eOLPJchRBCiOKQGkMhhBBW5s6dy9dff014ePgt76NRo0bodDc+Yvz8/GjSpIllWa/X4+Pjw5UrV6y2a9euneV/Ozs7WrVqZcnHwYMH+eOPPyw1da6urjRo0ADI6g+Yo2XLloXmLSEhgYsXL9KhQwer9R06dCjxOQ8aNIiLFy+yevVqevXqxebNm2nRogWLFy+2Ste0aVPL/y4uLri7u1vOPTw8nHbt2lkN8tOhQweSkpIKrbl9/vnn+f7772nWrBmvvPIKf/31V4nyLoQQQuQmgaEQQggrDzzwACEhIUydOjXPczqdDqWU1bqMjIw86ezt7a2WNU3Ld53ZbC52vpKSkujTpw8HDhywepw8eZIHHnjAks7FxaXY+ywNjo6OPPjgg0yfPp2//vqLESNGEBoaapXmds89P7179+bs2bO89NJLXLx4ke7du+fb5FUIIYQoDgkMhRBC5PH222/z888/s2PHDqv1vr6+XLp0ySo4LM25B//++2/L/5mZmezdu5eGDRsC0KJFC44ePUpgYCB16tSxepQkGHR3d6dq1ap5ppTYvn07QUFBt30OQUFBJCcnFzt9w4YN2bFjh9U13b59O25ublSvXh0ABwcHTCZTnm19fX0ZPnw4S5YsYf78+Xz22We3nX8hhBD3JgkMhRBC5NGkSROGDh3Khx9+aLW+S5cuXL16lXfeeYfIyEgWLlzIunXrSu24CxcuZOXKlRw/fpxx48YRGxvLM888A8C4ceO4fv06Q4YMYffu3URGRrJhwwZGjhyZb9BUmClTpjB37lyWLVtGREQEr776KgcOHODFF18s9j5iYmLo1q0bS5Ys4dChQ0RFRfHDDz/wzjvv0K9fv2LvZ+zYsZw/f57x48dz/PhxfvrpJ0JDQ5k0aZKlOW5gYCA7d+7kzJkzXLt2DbPZzBtvvMFPP/3EqVOnOHr0KL/88osliBZCCCFKSgJDIYQQ+Zo5c2ae5o4NGzbk448/ZuHChQQHB7Nr165Sbb749ttv8/bbbxMcHMyff/7J6tWrLSNt5tTymUwmevbsSZMmTZg4cSKenp5W/RmLY8KECUyaNInJkyfTpEkT1q9fz+rVq6lbt26x9+Hq6krbtm354IMPeOCBB2jcuDHTp0/nueee47///W+x91OtWjXWrl3Lrl27CA4OZsyYMTz77LNMmzbNkubll19Gr9cTFBSEr68v586dw8HBgalTp9K0aVMeeOAB9Ho933//fYmugxBCCJFDUzd3FhHChimlyMzMLHHtgBBCCCHErdLr9djZ2VkNEiXE3cauvDMgRHEZjUaio6NJSUkp76wIIYQQ4h7j7OxMlSpVcHBwKO+sCHFHSI2hqBDMZjMnT55Er9fj6+uLg4OD/GonhBBCiDtOKYXRaOTq1auYTCbq1q1b4ubrQlQEUmMoKgSj0YjZbKZGjRo4OzuXd3aEEEIIcQ9xcnLC3t6es2fPYjQacXR0LO8sCVHq5OcOUaHIL3RCCCGEKA/yHUTc7aSECyGEEEIIIcQ9TgJDIYQQQgghhLjHSWAo7hkZFy+SevRogY+MixfLO4sWmzdvRtM04uLiyjsrhTp+/Dj3338/jo6ONGvWrFT3HRgYyPz58wt8/syZM2iaxoEDB0r1uGXpVs5hxowZRV7rLl26MHHixNvKm62bMWMGmqahaVqh5aS8ldZ7uaLcE+6km98vOcuappX6/UcIIe5FEhiKe0LGxYtE9urNmUGPFviI7NXbZoLD9u3bEx0djYeHR3lnpVChoaG4uLgQERHBpk2bWLx4MZ6engWm79q1K1988YXVFzpN0/Dx8aFnz57s37+/2MeuUaMG0dHRNG7cuMA0ERERdO3aFT8/PxwdHalduzbTpk0jIyOj0H3nzlvO405MHF6cc7jZyy+/zKZNmwpNExYWxqxZs243exaaprFq1apS219hiipDuTVq1Ijo6GhGjRplCZwKe2zevPmO5r205BfYl9U94erVqzz//PPUrFkTg8GAv78/ISEhbN++/Y4e91bkvH8mT55c3lkRQoi7goxKKu4JmbGxKKOx0DTKaCQzNhb7qlXLKFcFc3BwwN/f/5a3NxqNZTLPUmRkJA8//DABAQFFpr1+/Trbt2/n+++/JzU1FYDffvuNRo0aceHCBSZMmEDv3r05fvx4sQIDvV5f5DWyt7dn2LBhtGjRAk9PTw4ePMhzzz2H2Wxm9uzZhW771Vdf0atXL8tycYOVkijOOdzM1dUVV1fXQtN4e3vfTrZuSVmVudzs7Ows1y8ncMrx4osvkpCQwFdffWVZl/u6lEd+b8ft3hOKa9CgQRiNRr7++mtq167N5cuX2bRpEzExMXf82CWV8/4p6v0ghBCieKTGUFRYSinMKSnFeqi0tOLtMy2t6H2VcOrPLl26MH78eCZOnIiXlxd+fn58/vnnJCcnM3LkSNzc3KhTpw7r1q2zbJNfs7Ht27fTpUsXnJ2d8fLyIiQkhNjYWMsxXnjhBSZOnEilSpUICQkBYMuWLbRp0waDwUCVKlV49dVXyczMtOzzxx9/pEmTJjg5OeHj40OPHj1ITk4GsuaOnDlzJtWrV8dgMNCsWTPWr19v2VbTNPbu3cvMmTPRNI0uXbowcuRI4uPjLTU0M2bMsKRfs2YNLVq0wM/Pz7LOx8cHf39/WrVqxXvvvcfly5fZuXOn5fmUlBSeeeYZ3NzcqFmzJp999pnlueI0w6xduzYjR44kODiYgIAA+vbty9ChQ9m2bVuRr5unpyf+/v6WR1FDk48YMYL+/fsze/Zs/Pz88PT0ZObMmWRmZjJlyhS8vb2pXr26VaBy8znkvO6bNm2iVatWODs70759eyIiIizb3EpT0sDAQGbPnl3gtTQajbzwwgtUqVIFR0dHAgICmDNnjmVbgAEDBqBpmmU5Jx9ffPEFtWrVslyf/JoAN2vWzKosxMXFMXr0aEtNbuPGjfnll1/YvHlzoWWoMDmBU87DycnJUuPl7+/PJ598Qps2bfLkd/369XTs2BFPT098fHx45JFHiIyMtOw35zUKCwuja9euODs7ExwczI4dOyxpzp49S58+ffDy8sLFxYVGjRqxdu3afPMZExPDkCFDqFatGs7OzjRp0oSlS5danh8xYgRbtmxhwYIFlmtw5syZfO8JK1asoFGjRhgMBgIDA5k3b57VsYp63W8WFxfHtm3bmDt3Ll27diUgIIA2bdowdepU+vbta0mnaRqLFi2id+/eODk5Ubt2bX788UerfZ0/f57Bgwfj6emJt7c3/fr148yZM1ZpvvjiCxo2bIijoyMNGjTg448/tnp+165dNG/eHEdHR1q1alWiFgVCCCFKTgJDUWGp1FQiWrQs1uPs0KeKtc+zQ58qcl8qu7arJL7++msqVarErl27GD9+PM8//zyPPfYY7du3Z9++ffTs2ZOnn36alJSUfLc/cOAA3bt3JygoiB07dvDnn3/Sp08fTCaT1TEcHBzYvn07n3zyCf/88w8PPfQQrVu35uDBgyxatIj/+7//4z//+Q8A0dHRDBkyhGeeeYbw8HA2b97MwIEDLYHvggULmDdvHu+99x6HDh0iJCSEvn37cvLkScv2jRo1YvLkyURHR7N69Wrmz5+Pu7s70dHRREdH8/LLL1vyt3r1avr161fgNXJycgKygpQc8+bNs3whHDt2LM8//7xVkFRSp06dYv369XTu3LnItOPGjaNSpUq0adOGL7/8slg/CPz+++9cvHiRrVu38v777xMaGsojjzyCl5cXO3fuZMyYMYwePZoLFy4Uup/XX3+defPmsWfPHuzs7HjmmWeKfY4FKexafvjhh6xevZrly5cTERHBd999ZwkAd+/eDWTVoEZHR1uWIet6rlixgrCwsGL3kzSbzfTu3Zvt27ezZMkSjh07xttvv41er6d9+/aFlqHblV9+k5OTmTRpEnv27GHTpk3odDoGDBiA2Wy22vb111/n5Zdf5sCBA9SrV48hQ4ZYfmQZN24c6enpbN26lcOHDzN37twCa7HS0tJo2bIla9as4ciRI4waNYqnn36aXbt2AVnvu3bt2vHcc89ZrkGNGjXy7Gfv3r0MHjyYJ554gsOHDzNjxgymT5/O4sWLrdKV5D2UUxu9atUq0tPTC72W06dPZ9CgQRw8eJChQ4fyxBNPEB4eDkBGRgYhISG4ubmxbds2tm/fjqurK7169bK8v7/77jveeOMN3nrrLcLDw5k9ezbTp0/n66+/BiApKYlHHnmEoKAg9u7dy4wZM0q1LAghhMiHEqICSE1NVceOHVOpqamWdabkZHWsfoMyf5iSk0uU986dO6uOHTtaljMzM5WLi4t6+umnLeuio6MVoHbs2KGUUuqPP/5QgIqNjVVKKTVkyBDVoUOHQo/RvHlzq3Wvvfaaql+/vjKbzZZ1CxcuVK6urspkMqm9e/cqQJ05cybffVatWlW99dZbVutat26txo4da1kODg5WoaGhluWvvvpKeXh45NlXWlqacnV1VUeOHFFKKRUVFaUAtX//fqWUUrGxsWrAgAHK1dVVXbp0SSmlVEBAgHrqqacs+zCbzapy5cpq0aJF+e6jMO3atVMGg0EBatSoUcpkMhWafubMmerPP/9U+/btU2+//bYyGAxqwYIFhW4zfPhwFRAQYLXv+vXrq06dOlmWc177pUuX5nsOOa/7b7/9ZtlmzZo1CrCU/dDQUBUcHFxoXjp37qxefPFFy3JR13L8+PGqW7duVmUlN0CtXLnSal1oaKiyt7dXV65csVofEBCgPvjgA6t1ucvJhg0blE6nUxEREfkeq6AydLOirsPw4cNVv379iszvza5evaoAdfjwYaXUjdfoiy++sKQ5evSoAlR4eLhSSqkmTZqoGTNm5Lu/m9/L+Xn44YfV5MmTLcs3v3757efJJ59UDz74oFWaKVOmqKCgIMtyUa97fn788Ufl5eWlHB0dVfv27dXUqVPVwYMHrdIAasyYMVbr2rZtq55//nmllFLffvttnntPenq6cnJyUhs2bFBKKXXfffep//3vf1b7mDVrlmrXrp1SSqlPP/1U+fj4WN3zFy1alO97vjjvCSFKQ37fRYS4m0gfQ1FhaU5O1N+3t1hp08LDi1VrGPDdEhwbNizyuCXVtGlTy/96vR4fHx+aNGliWZfTvPLKlSv5bn/gwAEee+yxQo/RsmVLq+Xw8HDatWuHpmmWdR06dCApKYkLFy4QHBxM9+7dadKkCSEhIfTs2ZNHH30ULy8vEhISuHjxIh06dLDaZ4cOHTh48GDxTjqX33//ncqVK9OoUSOr9e3bt0en05GcnEzt2rVZtmyZVVPT3NdN0zT8/f0LvEaNGjXi7NmzAHTq1Mmqae6yZctITEzk4MGDTJkyhffee49XXnmlwPxOnz7d8n/z5s1JTk7m3XffZcKECZw7d46goCDL86+99hqvvfaaJQ+5J0D28/OzGlgm57Uv6BzyO+8qVaoAWWWjZs2aVum2bdtG7969LcuffvopQ4cOLXKfN1/LESNG8OCDD1K/fn169erFI488Qs+ePQvNI0BAQAC+vr5FpsvtwIEDVK9enXr16pVou9KQX35PnjzJG2+8wc6dO7l27ZqlpvDcuXNWr11Br0mDBg2YMGECzz//PBs3bqRHjx4MGjTIKn1uJpOJ2bNns3z5cv755x+MRiPp6ek4OzuX6FzCw8Pz1MB36NCB+fPnYzKZ0Ov1efJd1HsIsvoYPvzww2zbto2///6bdevW8c477/DFF18wYsQIS7p27dpZbdeuXTtLLezBgwc5deoUbm5uVmnS0tKIjIwkOTmZyMhInn32WZ577jnL85mZmZbBdcLDw2natKlVE+6bjymEEKJ0SWAoKixN09CK+WVKK6J/WO50uhJ+QSsOe3t76+NomtW6nODt5uZrOZyKEYy6uLiUKE96vZ5ff/2Vv/76i40bN/LRRx/x+uuvs3PnTnx8fEq0r6KsXr3aqo9SjmXLlhEUFISPj0++g7vkd90KukZr1661jDZ68/XKaYoXFBSEyWRi1KhRTJ482fLluSht27Zl1qxZpKenU7VqVatmk7kHNCnqdS7qHPLbT2Flo1WrVlZ5yR1UF7bPm/PRokULoqKiWLduHb/99huDBw+mR48eefqN3Sy/MqfT6fI0u809CmxxyvKdkl9++/TpQ0BAAJ9//jlVq1bFbDbTuHFjqybNUPhr8q9//YuQkBDWrFnDxo0bmTNnDvPmzWP8+PF5jvfuu++yYMEC5s+fT5MmTXBxcWHixIl5jldabqX8OTo68uCDD/Lggw8yffp0/vWvfxEaGmoVGBYmKSmJli1b8t133+V5ztfXl6SkJAA+//xz2rZta/V8cd+TQgghSp/0MRSiAmjatGmRUxTcrGHDhuzYscPqS/r27dtxc3OjevXqQNaXxA4dOvDmm2+yf/9+HBwcWLlyJe7u7lStWjXPEPXbt2+3qi27mYODg1W/R8gaJOjnn3/Ot39hjRo1uO+++0plxM+AgADq1KlDnTp1qFatWoHpzGYzGRkZRX45zu3AgQN4eXlhMBiws7OzHKdOnTrlMgJoDicnJ6u83FxDUxLu7u48/vjjfP755yxbtowVK1Zw/fp1ICu4uPl1LYivr6/V6KAJCQlERUVZlps2bcqFCxc4ceJEvtvnV4bulJiYGCIiIpg2bRrdu3enYcOGlgGdSqpGjRqMGTOGsLAwJk+ezOeff55vuu3bt9OvXz+eeuopgoODqV27dp5rUZxr0LBhw3zfn/Xq1Sv14CooKMgyKFWOv//+O89yw+zWFi1atODkyZNUrlzZqnzWqVMHDw8P/Pz8qFq1KqdPn87zfK1atSznd+jQIdJyDRx28zGFEEKULgkMxT3BzssLrYih6TUHB+y8vMooRyUzdepUdu/ezdixYzl06BDHjx9n0aJFXLt2rcBtxo4dy/nz5xk/fjzHjx/np59+IjQ0lEmTJqHT6di5cyezZ89mz549nDt3jrCwMK5evWr5cjdlyhTmzp3LsmXLiIiI4NVXX+XAgQO8+OKLBR4zMDCQpKQkNm3axLVr10hJSWHv3r2kpKTQsWPHUr8uRfnuu+9Yvnw54eHhnD59muXLlzN16lQef/xxS03KypUradCggWWbn3/+mS+++IIjR45w6tQpFi1axOzZs/Ot/blbvP/++yxdupTjx49z4sQJfvjhB/z9/S0Be2BgIJs2beLSpUtFBk7dunXj22+/Zdu2bRw+fJjhw4dbBSqdO3fmgQceYNCgQfz666+WmsqcEW/zK0N3ipeXFz4+Pnz22WecOnWK33//nUmTJpV4PxMnTmTDhg1ERUWxb98+/vjjD8v76GZ169a11NSHh4czevRoLl++bJUmMDCQnTt3cubMGavmrblNnjyZTZs2MWvWLE6cOMHXX3/Nf//739saoCUmJoZu3bqxZMkSDh06RFRUFD/88APvvPNOnh92fvjhB7788ktOnDhBaGgou3bt4oUXXgBg6NChVKpUiX79+rFt2zaioqLYvHkzEyZMsAy89OabbzJnzhw+/PBDTpw4weHDh/nqq694//33AXjyySfRNI3nnnuOY8eOsXbtWt57771bPjchhBBFk6ak4p5gX7Uq961fR2YhX2rtvLxsYg7D/NSrV4+NGzfy2muv0aZNG5ycnGjbti1DhgwpcJtq1aqxdu1apkyZQnBwMN7e3jz77LNMmzYNyKoh2rp1K/PnzychIYGAgADmzZtn6bM2YcIE4uPjmTx5MleuXCEoKIjVq1dTt27dAo/Zvn17xowZw+OPP05MTAyhoaGYTCYeeugh7OzK/nZjZ2fH3LlzOXHiBEopAgICeOGFF3jppZcsaeLj461GabS3t2fhwoW89NJLKKWoU6cO77//vlVfqLuNm5sb77zzDidPnkSv19O6dWvWrl1r6S85b948Jk2axOeff061atXyTDuQ29SpU4mKiuKRRx7Bw8ODWbNmWdUYQtY0Cy+//DJDhgwhOTmZOnXq8PbbbwP5l6HiTllRUjqdju+//54JEybQuHFj6tevz4cffkiXLl1KtB+TycS4ceO4cOEC7u7u9OrViw8++CDftNOmTeP06dOEhITg7OzMqFGj6N+/P/Hx8ZY0L7/8MsOHDycoKIjU1NQ81w+yauWWL1/OG2+8waxZs6hSpQozZ84sdnPP/Li6utK2bVs++OADIiMjycjIoEaNGjz33HOWfrQ53nzzTb7//nvGjh1LlSpVWLp0qaU1gbOzM1u3buXf//43AwcOJDExkWrVqtG9e3fc3d2BrOa3zs7OvPvuu0yZMgUXFxeaNGlimWbF1dWVn3/+mTFjxtC8eXOCgoKYO3cugwYNuuXzE0IIUThN3dwZRAgblJaWRlRUlNX8Y6JiaNq0KdOmTWPw4MHlnRVxF5kxYwarVq0q9jQZovRomsbKlSvp379/eWcFkLIgyo58FxF3O2lKKoS4Y4xGI4MGDbIaOVOI0nL48GFcXV3zTIwu7g3nzp3D1dWV2bNnl3dWhBDiriBNSYUQd4yDgwOhoaHlnQ1xF5owYQJPPZU1BU1Jp8wQd4fcIwQbDIbyzYwQQtwFJDAUQghR4Xh7e5friLD3MlvpgZIzQrAQQojSIU1JhRBCCCGEEOIeJ4GhEEIIIYQQQtzjJDAUQgghhBBCiHucBIZCCCGEEEIIcY+TwFAIIYQQQggh7nESGAohhBBCCCHEPU4CQ3HPyLh4kdSjRwt8ZFy8WN5ZtNi8eTOaphEXF1feWSnU8ePHuf/++3F0dKRZs2aluu/AwEDmz59f4PNnzpxB0zTLPGYV0a2cw4wZM4q81l26dGHixIm3lTdbN2PGDDRNQ9O0QstJeSut93JFuSfcaXfD+744cs5T07RSv7cKIURBJDAU94SMixeJ7NWbM4MeLfAR2au3zQSH7du3Jzo6Gg8Pj/LOSqFCQ0NxcXEhIiKCTZs2sXjxYjw9PQtM37VrV7744gurLz2apuHj40PPnj3Zv39/sY9do0YNoqOjady4cYFpIiIi6Nq1K35+fjg6OlK7dm2mTZtGRkZGofvOnbecx/fff1/svBVXcc7hZi+//DKbNm0qNE1YWBizZs263exZaJrGqlWrSm1/hSmqDOXWqFEjoqOjGTVqlCVwKuyxefPmO5r30pJfYF+W94RLly4xfvx4ateujcFgoEaNGvTp06fIcmerKuIPJTn3hsmTJ5d3VoQQ9xCZ4F7cEzJjY1FGY6FplNFIZmws9lWrllGuCubg4IC/v/8tb280GnFwcCjFHOUvMjKShx9+mICAgCLTXr9+ne3bt/P999+TmpoKwG+//UajRo24cOECEyZMoHfv3hw/frxYgYFery/yGtnb2zNs2DBatGiBp6cnBw8e5LnnnsNsNjN79uxCt/3qq6/o1auXZbm4wUpJFOccbubq6oqrq2uhacpj4veyKnO52dnZWa5fTuCU48UXXyQhIYGvvvrKsi73dSmP/N6O270nFNeZM2fo0KEDnp6evPvuuzRp0oSMjAw2bNjAuHHjOH78+B3Pg7hxbyjqvS6EEKVJagxFhWdOSSn4kZ5eqvu9FV26dGH8+PFMnDgRLy8v/Pz8+Pzzz0lOTmbkyJG4ublRp04d1q1bZ9kmv2Zj27dvp0uXLjg7O+Pl5UVISAixsbGWY7zwwgtMnDiRSpUqERISAsCWLVto06YNBoOBKlWq8Oqrr5KZmWnZ548//kiTJk1wcnLCx8eHHj16kJycnHX+ZjMzZ86kevXqGAwGmjVrxvr16y3baprG3r17mTlzJpqm0aVLF0aOHEl8fLylhmbGjBmW9GvWrKFFixb4+flZ1vn4+ODv70+rVq147733uHz5Mjt37rQ8n5KSwjPPPIObmxs1a9bks88+szxXnCZltWvXZuTIkQQHBxMQEEDfvn0ZOnQo27ZtK/J18/T0xN/f3/JwdHQsNP2IESPo378/s2fPxs/PD09PT2bOnElmZiZTpkzB29ub6tWrWwUqN59Dzuu+adMmWrVqhbOzM+3btyciIsKyza00JQ0MDGT27NkFXkuj0cgLL7xAlSpVcHR0JCAggDlz5li2BRgwYACaplmWc/LxxRdfUKtWLcv1ya8JcLNmzazKQlxcHKNHj7bU5DZu3JhffvmFzZs3F1qGCpMTOOU8nJycMBgMluVPPvmENm3a5Mnv+vXr6dixI56envj4+PDII48QGRlp2W/OaxQWFkbXrl1xdnYmODiYHTt2WNKcPXuWPn364OXlhYuLC40aNWLt2rX55jMmJoYhQ4ZQrVo1nJ2dadKkCUuXLrU8P2LECLZs2cKCBQss1+DMmTP53hNWrFhBo0aNMBgMBAYGMm/ePKtjFfW652fs2LFomsauXbsYNGgQ9erVo1GjRkyaNIm///7bku7cuXP069cPV1dX3N3dGTx4MJcvX7Y8n1M+vvzyS2rWrImrqytjx47FZDLxzjvv4O/vT+XKlXnrrbesjq9pGosWLaJ37944OTlRu3Ztfvzxx0LzfOTIEXr37o2rqyt+fn48/fTTXLt2rdDrWdR2kPU+mjBhAq+88gre3t74+/vnKY9xcXH861//wtfXF3d3d7p168bBgwctzx88eJCuXbvi5uaGu7s7LVu2ZM+ePUDJyo0QQpQFCQxFhRfRomWBjwsTJtzyfk9175Fnf7fq66+/plKlSuzatYvx48fz/PPP89hjj9G+fXv27dtHz549efrpp0kpIPg8cOAA3bt3JygoiB07dvDnn3/Sp08fTCaT1TEcHBzYvn07n3zyCf/88w8PPfQQrVu35uDBgyxatIj/+7//4z//+Q8A0dHRDBkyhGeeeYbw8HA2b97MwIEDUUoBsGDBAubNm8d7773HoUOHCAkJoW/fvpw8edKyfaNGjZg8eTLR0dGsXr2a+fPn4+7uTnR0NNHR0bz88suW/K1evZp+/foVeI2cnJyArCAlx7x582jVqhX79+9n7NixPP/881ZBUkmdOnWK9evX07lz5yLTjhs3jkqVKtGmTRu+/PJLy3UpzO+//87FixfZunUr77//PqGhoTzyyCN4eXmxc+dOxowZw+jRo7lw4UKh+3n99deZN28ee/bswc7OjmeeeabY51iQwq7lhx9+yOrVq1m+fDkRERF89913lgBw9+7dQFYNanR0tGUZsq7nihUrCAsLK3afL7PZTO/evdm+fTtLlizh2LFjvP322+j1etq3b19oGbpd+eU3OTmZSZMmsWfPHjZt2oROp2PAgAGYzWarbV9//XVefvllDhw4QL169RgyZIjlR5Zx48aRnp7O1q1bOXz4MHPnzi2wpictLY2WLVuyZs0ajhw5wqhRo3j66afZtWsXkPW+a9euHc8995zlGtSoUSPPfvbu3cvgwYN54oknOHz4MDNmzGD69OksXrzYKl1J3kPXr19n/fr1jBs3DhcXlzzP59Sam81m+vXrx/Xr19myZQu//vorp0+f5vHHH7dKHxkZybp161i/fj1Lly7l//7v/3j44Ye5cOECW7ZsYe7cuUybNs3qxyCA6dOnM2jQIA4ePMjQoUN54oknCA8PzzfPcXFxdOvWjebNm7Nnzx7Wr1/P5cuXGTx4cKHXs6jtcnz99de4uLiwc+dO3nnnHWbOnMmvv/5qef6xxx7jypUrrFu3jr1799KiRQu6d+/O9evXARg6dCjVq1dn9+7d7N27l1dffRV7e3ugZOVGCCHKhBKiAkhNTVXHjh1TqampeZ47Vr9BgY+zo0YppZRKOXKk0HQ5j5QjRyz7jbi/XZ7nb0Xnzp1Vx44dLcuZmZnKxcVFPf3005Z10dHRClA7duxQSin1xx9/KEDFxsYqpZQaMmSI6tChQ6HHaN68udW61157TdWvX1+ZzWbLuoULFypXV1dlMpnU3r17FaDOnDmT7z6rVq2q3nrrLat1rVu3VmPHjrUsBwcHq9DQUMvyV199pTw8PPLsKy0tTbm6uqoj2dc3KipKAWr//v1KKaViY2PVgAEDlKurq7p06ZJSSqmAgAD11FNPWfZhNptV5cqV1aJFi/LdR2HatWunDAaDAtSoUaOUyWQqNP3MmTPVn3/+qfbt26fefvttZTAY1IIFCwrdZvjw4SogIMBq3/Xr11edOnWyLOe89kuXLs33HHJe999++82yzZo1axRgKfuhoaEqODi40Lx07txZvfjii5bloq7l+PHjVbdu3azKSm6AWrlypdW60NBQZW9vr65cuWK1PiAgQH3wwQdW63KXkw0bNiidTqciIiLyPVZBZehmRV2H4cOHq379+hWZ35tdvXpVAerw4cNKqRuv0RdffGFJc/ToUQWo8PBwpZRSTZo0UTNmzMh3fze/l/Pz8MMPq8mTJ1uWb3798tvPk08+qR588EGrNFOmTFFBQUGW5aJe95vt3LlTASosLKzAvCql1MaNG5Ver1fnzp2zrMu5Jrt27VJKZV1vZ2dnlZCQYEkTEhKiAgMD87xH5syZY1kG1JgxY6yO17ZtW/X8888rpfK+Z2bNmqV69uxplf78+fMKsJSx/K5ncbfLfe9WKuse+O9//1sppdS2bduUu7u7SktLs0pz3333qU8//VQppZSbm5tavHixyk9h5SZHcd7vouwU9l1EiLuB9DEUFV79fXsLflKvv+X91tn02y1ve7OmTZta/tfr9fj4+NCkSRPLupzmlVeuXMl3+wMHDvDYY48VeoyWLa1rNMPDw2nXrh2aplnWdejQgaSkJC5cuEBwcDDdu3enSZMmhISE0LNnTx599FG8vLxISEjg4sWLdOjQwWqfHTp0sGomVVy///47lStXplGjRlbr27dvj06nIzk5mdq1a7Ns2TKrpqa5r5umafj7+xd4jRo1asTZs2cB6NSpk1XT3GXLlpGYmMjBgweZMmUK7733Hq+88kqB+Z0+fbrl/+bNm5OcnMy7777LhAkTOHfuHEFBQZbnX3vtNV577TVLHnS6Gw0x/Pz8rAaWyXntCzqH/M67SpUqQFbZqFmzplW6bdu20bt3b8vyp59+ytChQ4vc583XcsSIETz44IPUr1+fXr168cgjj9CzZ89C8wgQEBCAr69vkelyO3DgANWrV6devXol2q405JffkydP8sYbb7Bz506uXbtmqSk8d+6c1WtX0GvSoEEDJkyYwPPPP8/GjRvp0aMHgwYNskqfm8lkYvbs2Sxfvpx//vkHo9FIeno6zs7OJTqX8PDwPDXwHTp0YP78+ZhMJvTZ976SvIdUMWrFc45do0YNq5rMoKAgPD09CQ8Pp3Xr1kBWU1Y3NzdLGj8/P/R6fZ73yM35adeuXZ7lgmqkDx48yB9//JFvTVtkZGSB5ay42938OlapUsWS34MHD5KUlISPj49VmtTUVEtz5EmTJvGvf/2Lb7/9lh49evDYY49x3333AZSo3AghRFmQwFBUeLoSfqEqj/3mNB3KoWma1bqc4O3m5ms5cppZFia/pl+F0ev1/Prrr/z1119s3LiRjz76iNdff52dO3fm+aJzu1avXk3fvn3zrF+2bBlBQUH4+PjkO7hLftetoGu0du1ay2ijN1+vnC+wQUFBmEwmRo0axeTJky1fnovStm1bZs2aRXp6OlWrVrX6kpp7QJOiXueiziG//RRWNlq1amWVl9xBdWH7vDkfLVq0ICoqinXr1vHbb78xePBgevToUWTfrvzKnE6nyxNg5B4Ftjhl+U7JL799+vQhICCAzz//nKpVq2I2m2ncuLFVk2Yo/DX517/+RUhICGvWrGHjxo3MmTOHefPmMX78+DzHe/fdd1mwYAHz58+nSZMmuLi4MHHixDzHKy0lKX9169ZF07RSG2CmtN4PhUlKSqJPnz7MnTs3z3M5AfztbFdYfpOSkqhSpUq+o93m3M9mzJjBk08+yZo1a1i3bh2hoaF8//33DBgwoETlRgghyoL0MRSiAmjatGmJh4pv2LAhO3bssPqSvn37dtzc3KhevTqQ9SWnQ4cOvPnmm+zfvx8HBwdWrlyJu7s7VatWZfv27Vb73L59u1Vt2c0cHBys+j1CVi3Ezz//nG//who1anDfffeVyoifAQEB1KlThzp16lCtWrUC05nNZjIyMkr0ZfTAgQN4eXlhMBiws7OzHKdOnTrlMgJoDicnJ6u85K6dKSl3d3cef/xxPv/8c5YtW8aKFSss/aTs7e3zvK4F8fX1tRodNCEhgaioKMty06ZNuXDhAidOnMh3+/zK0J0SExNDREQE06ZNo3v37jRs2NAyoFNJ1ahRgzFjxhAWFsbkyZP5/PPP8023fft2+vXrx1NPPUVwcDC1a9fOcy2Kcw0aNmyY7/uzXr16xf7B42be3t6EhISwcOFCyyBUueUMfNOwYUPOnz/P+fPnLc8dO3aMuLi4Qu8PxZV7kJuc5YYNG+abtkWLFhw9epTAwECr90KdOnUsPwTkdz2Ls11RWrRowaVLl/LcE+rUqUOlSpUs6erVq8dLL73Exo0bGThwoNUAVMUtN0IIURYkMBT3BDsvL7QihqbXHByw8/IqoxyVzNSpU9m9ezdjx47l0KFDHD9+nEWLFlmNoHezsWPHcv78ecaPH8/x48f56aefCA0NZdKkSeh0Onbu3Mns2bPZs2cP586dIywsjKtXr1q+gE2ZMoW5c+eybNkyIiIiePXVVzlw4AAvvvhigccMDAwkKSmJTZs2ce3aNVJSUti7dy8pKSl07Nix1K9LUb777juWL19OeHg4p0+fZvny5UydOpXHH3/cUhOwcuVKGjRoYNnm559/5osvvuDIkSOcOnWKRYsWMXv27Lv6V/z333+fpUuXcvz4cU6cOMEPP/yAv7+/JWAPDAxk06ZNXLp0qcjAqVu3bnz77bds27aNw4cPM3z4cKtApXPnzjzwwAMMGjSIX3/91VJTmTPibX5l6E7x8vLCx8eHzz77jFOnTvH7778zadKkEu9n4sSJbNiwgaioKPbt28cff/xRYCBTt25dS019eHg4o0ePthrNE7Kuwc6dOzlz5oxV89bcJk+ezKZNm5g1axYnTpzg66+/5r///e9tD9azcOFCTCYTbdq0YcWKFZw8eZLw8HA+/PBDSxPPHj160KRJE4YOHcq+ffvYtWsXw4YNo3PnzrRq1eq2jg/www8/8OWXX3LixAlCQ0PZtWsXL7zwQr5px40bx/Xr1xkyZAi7d+8mMjKSDRs2MHLkSEswmN/1LM52RenRowft2rWjf//+bNy4kTNnzvDXX3/x+uuvs2fPHlJTU3nhhRfYvHkzZ8+eZfv27ezevdtSNkpSboQQoixIU1JxT7CvWpX71q8js5AvtXZeXjYxh2F+6tWrx8aNG3nttddo06YNTk5OtG3bliFDhhS4TbVq1Vi7di1TpkwhODgYb29vnn32WaZNmwZk1RBt3bqV+fPnk5CQQEBAAPPmzbP0WZswYQLx8fFMnjyZK1euEBQUxOrVq6lbt26Bx2zfvj1jxozh8ccfJyYmhtDQUEwmEw899BB2dmV/u7Gzs2Pu3LmcOHECpRQBAQG88MILvPTSS5Y08fHxVqM02tvbs3DhQl566SWUUtSpU4f333+f5557rszzX1bc3Nx45513OHnyJHq9ntatW7N27VpLX7B58+YxadIkPv/8c6pVq2YZ7j8/U6dOJSoqikceeQQPDw9mzZplVWMIWdMsvPzyywwZMoTk5GTq1KnD22+/DeRfhoo7ZUVJ6XQ6vv/+eyZMmEDjxo2pX78+H374IV26dCnRfkwmE+PGjePChQu4u7vTq1cvPvjgg3zTTps2jdOnTxMSEoKzszOjRo2if//+xMfHW9K8/PLLDB8+nKCgIFJTU/NcP8iqrVq+fDlvvPEGs2bNokqVKsycOZMRI0aUKO83q127Nvv27eOtt96yjDjs6+tLy5YtWbRoEZDV0uCnn35i/PjxPPDAA+h0Onr16sVHH310W8fO8eabb/L9998zduxYqlSpwtKlSwusicxp2fDvf/+bnj17kp6eTkBAAL169bKU3/yuZ2BgYJHbFUXTNNauXcvrr7/OyJEjuXr1Kv7+/jzwwAOW/pQxMTEMGzaMy5cvU6lSJQYOHMibb74JlKzcCCFEWdBUcXubC1GO0tLSiIqKspp/TFQMTZs2Zdq0aXmGgRfidsyYMYNVq1YVe5oMUTFomsbKlSvp379/eWfFJkg5ty3yXUTc7aQpqRDijjEajQwaNMhq5EwhSsvhw4dxdXXl448/Lu+sCFGqzp07h6urK7Nnzy7vrAgh7iHSlFQIccc4ODgQGhpa3tkQd6EJEybw1FNPAZR4ygwhbF3u0Y8NBkP5ZkYIcc+QwFAIIUSF4+3tXa4jwoo7Q3q3ZMkZ6VQIIcqSNCUVQgghhBBCiHucBIZCCCGEEEIIcY+TwFAIIYQQQggh7nESGAohhBBCCCHEPU4CQyGEEEIIIYS4x0lgKIQQQgghhBD3OAkMhbjDunTpwsSJE8s7G4UKDAxk/vz5FWa/pUnTNFatWlXe2bgjZsyYQbNmzUp1n2fOnEHTNMsca3daYGAgmqahaRpxcXFlcsxbMWLECPr3728z+6nIbi63M2bMsJQBW7+fCCFERSaBobgn7bi4g36r+rHj4o47fqywsDBmzZpV7PRl/cW7tH399dd07NgRgN27dzNq1Khib7t582abDwDy8/nnn9OpUye8vLzw8vKiR48e7Nq1q9jbjxgxwvLFN+fRq1evQrdZvHhxnm1yHleuXLndU7rjSvKDycyZM4mOjsbDwyPfa5X7ERgYeEfzXVoKep8vWLCAxYsX3/Hjb9myhW7duuHt7Y2zszN169Zl+PDhGI3GO37sknr55ZeJjo6mevXq5Z0VIYS4q0lgKO45SikW7FvA6fjTLNi34I5PqOzt7Y2bm9sdPUZBMjIyyvyYP/30E3379gXA19cXZ2fnMs+DUorMzMwyO97mzZsZMmQIf/zxBzt27KBGjRr07NmTf/75p9j76NWrF9HR0ZbH0qVLC03/+OOPW6WPjo4mJCSEzp07U7ly5ds9JZvi5uaGv78/mqaxYMECq3MG+OqrryzLu3fvttrWFgOdwnh4eODp6XlHj3Hs2DF69epFq1at2Lp1K4cPH+ajjz7CwcEBk8l0R499K1xdXfH390ev15d3VoQQ4q4mgaGosJRSpGSklPjxx7k/OBpzFICjMUf549wfJdq+pIHkzTUjgYGBzJ49m2eeeQY3Nzdq1qzJZ599Znm+Vq1aADRv3hxN0+jSpYvluS+++IKGDRvi6OhIgwYN+Pjjjy3P5dRALFu2jM6dO+Po6Mh3331naZr23nvvUaVKFXx8fBg3blyhQaOmaXz66ac88sgjODs707BhQ3bs2MGpU6fo0qULLi4utG/fnsjISKvt0tLS2LhxoyUwvLkpqaZpfPHFFwwYMMBSS7F69WpL/rt27QqAl5cXmqYxYsQIAMxmM3PmzKFWrVo4OTkRHBzMjz/+aNlvTk3junXraNmyJQaDgT///JMuXbowYcIEXnnlFby9vfH392fGjBkFnnfONVy+fDmdOnXCycmJ1q1bc+LECXbv3k2rVq1wdXWld+/eXL161bLdd999x9ixY2nWrBkNGjTgiy++wGw2s2nTpgKPdTODwYC/v7/l4eXlVWh6Jycnq/R6vZ7ff/+dZ599Nk/aTz/9lBo1auDs7MzgwYOJj48vdN9ms5l33nmHOnXqYDAYqFmzJm+99ZZVmtOnT9O1a1ecnZ0JDg5mx44bte8xMTEMGTKEatWq4ezsTJMmTawC3REjRrBlyxYWLFhgqek7c+ZMMa5SVuCU+7wBPD09LcutW7dm1qxZDBs2DHd3d0uN9b///W/q1auHs7MztWvXZvr06VbvgZzmi99++y2BgYF4eHjwxBNPkJiYaEnz448/0qRJE5ycnPDx8aFHjx4kJyfnm8/169fTsWNHPD098fHx4ZFHHrF6vxT0Pr+5KWl6ejoTJkygcuXKODo60rFjR6vgN6fsb9q0iVatWuHs7Ez79u2JiIgo8Bpu3LgRf39/3nnnHRo3bsx9991Hr169+Pzzz3FycgKyaqQ9PT1ZtWoVdevWxdHRkZCQEM6fP2+1r59++okWLVrg6OhI7dq1efPNN61+lImLi+Nf//oXvr6+uLu7061bNw4ePGi1j7fffhs/Pz/c3Nx49tlnSUtLKzDvQggh7iAlRAWQmpqqjh07plJTUy3rko3JqvHixmX+SDYmlyjvnTt3Vi+++KJlOSAgQHl7e6uFCxeqkydPqjlz5iidTqeOHz+ulFJq165dClC//fabio6OVjExMUoppZYsWaKqVKmiVqxYoU6fPq1WrFihvL291eLFi5VSSkVFRSlABQYGWtJcvHhRDR8+XLm7u6sxY8ao8PBw9fPPPytnZ2f12WefWeXpgw8+sCwDqlq1amrZsmUqIiJC9e/fXwUGBqpu3bqp9evXq2PHjqn7779f9erVy+pcf/nlF1WvXr1C91u9enX1v//9T508eVJNmDBBubq6qpiYGJWZmalWrFihABUREaGio6NVXFycUkqp//znP6pBgwZq/fr1KjIyUn311VfKYDCozZs3K6WU+uOPPxSgmjZtqjZu3KhOnTqlYmJiVOfOnZW7u7uaMWOGOnHihPr666+Vpmlq48aNVnlauXKl1TXMOVbOebZs2VJ16dJF/fnnn2rfvn2qTp06asyYMQW+5gkJCcrR0VH9/PPPRRUPpZRSw4cPVx4eHsrX11fVq1dPjRkzRl27dq1Y2+Z47733lIeHh0pJSbGsCw0NVS4uLqpbt25q//79asuWLapOnTrqySefLHRfr7zyivLy8lKLFy9Wp06dUtu2bVOff/65Usr6Gv3yyy8qIiJCPfrooyogIEBlZGQopZS6cOGCevfdd9X+/ftVZGSk+vDDD5Ver1c7d+5USikVFxen2rVrp5577jkVHR2toqOjVWZmZr55ubkM3Sz365eT3t3dXb333nvq1KlT6tSpU0oppWbNmqW2b9+uoqKi1OrVq5Wfn5+aO3eu1bVydXVVAwcOVIcPH1Zbt25V/v7+6rXXXlNKKXXx4kVlZ2en3n//fRUVFaUOHTqkFi5cqBITE5VSWa9hv379LPv78ccf1YoVK9TJkyfV/v37VZ8+fVSTJk2UyWRSShX8Pr95PxMmTFBVq1ZVa9euVUePHlXDhw9XXl5elvQ5Zb9t27Zq8+bN6ujRo6pTp06qffv2BV6zpUuXKoPBoLZs2VJgmq+++krZ29urVq1aqb/++kvt2bNHtWnTxmq/W7duVe7u7mrx4sUqMjJSbdy4UQUGBqoZM2ZY0vTo0UP16dNH7d69W504cUJNnjxZ+fj4WPK/bNkyZTAY1BdffKGOHz+uXn/9deXm5qaCg4Pz5KmosiDEnZbfdxEh7iYSGIoK4W4LDJ966inLstlsVpUrV1aLFv0/e+cdFtXx9fHv0mGXbgEUF6QoKmLBigoGFJJYsAcbWKNGkdhIolKsCRZEE2MHNRo0sSUaCxJBBERQUX+AIAhiQSUqKoK0Pe8fvHvDhV1YbESdz/PcR+/MmZkzc+de5uzMnPmZiP4deF++fJmXj4WFBe3du5cXtnTpUurRowcv3bp163gynp6eJBaLeQPvESNG0KhRo3g6VTfgFi1axN3Hx8cTANq+fTsX9uuvv5KGhgavrClTptC8efMUzrewsJAA0PHjx4no30HukydPOJmXL1+SlpYWxcXF8cqaNGkSeXh48NIdPnyYJ+Po6Ei9evXihXXp0oV8fX15OlU3DLdt28arJwCKjIzkwlauXEmtWrUieUyfPp1atmyp8ODh119/pSNHjtDVq1fp0KFDZGNjQ126dJFrLMnCxsaGpk+fzgvz9/cnZWVlunPnDhd2/PhxUlJSory8PJn5PHv2jNTV1TlDsDqy2iglJYUAUFpamlz9Pv/8c5o7dy53X/29kMerGIbu7u515rtq1Srq3Lkzd+/v709aWlr07NkzLmz+/PnUrVs3IiK6ePEiAaCcnByZ+VU36KqTn59PAOjatWtEJP89r5pPYWEhqaqq0p49e7j40tJSMjExoaCgICL6t++fPn2akzl27BgBkNv/ysvLycvLiwCQkZERubu704YNG+jp06ecTGhoKAGg8+fPc2FpaWkEgDPwnZ2dacWKFby8d+/eTcbGxkREFBMTQzo6OvTy5UuejIWFBW3evJmIiHr06EEzZszgxXfr1o0Zhoz/JMwwZHzoqLztGUkG422hqaKJhNEJCssTESacnID0J+mQkIQLVxIooZV+K4S6hkIgEChU7uvSvn177v8CgQBGRka1Ogx58eIFsrKyMGnSJEyZMoULLy8vh66uLk/W3t6+Rvq2bdvy9ucYGxvj2rVrCuvYtGlTAICtrS0v7OXLl3j27Bl0dHRARPjzzz+xf/9+hfMVCoXQ0dGpte6ZmZkoKipCv379eOGlpaXo2LEjL0xW3auWB1TWvS7nLIrUXV4e33//PcLDwxEVFQUNDY1ay5HyxRdfcP+3tbVF+/btYWFhgaioKDg7O+PTTz9FTEwMAEAsFiMlJYWXPj4+Hmlpadi9e3eNvFu0aIFmzZpx9z169IBEIkF6ejpu3LiBTz/9lIvbvHkzrKysUFJSAmdn51p1rtpGxsbGAICHDx+idevWqKiowIoVK7B//37cvXsXpaWlKCkpeWf7TWX1g3379mH9+vXIyspCYWEhysvLoaOjw5MxMzPj7Qeu2lfs7Ozg7OwMW1tbuLq6on///hg+fLjcJb83btyAn58fEhIS8M8//0Aiqfzm5Obmol27dgrVIysrC2VlZXBwcODCVFVV0bVrV6SlpfFk5T2PFi1a1MhXWVkZoaGhWLZsGf7++28kJCRgxYoV+OGHH3DhwgUuvYqKCrp06cKla926NfT09JCWloauXbviypUriI2N5S0zrqiowMuXL1FUVIQrV66gsLAQhoaGvPKLi4u5ZbVpaWmYNm0aL75Hjx44c+aMQm3EYDAYjDcHMwwZ7y0CgQBaqooPNGPvxiLtcVqNcAlJkPY4Dcn5yXBo5iAj5ZtHVVWVdy8QCLiBoywKCwsBVHq/7NatGy+uukMGoVD42uVVTyM1mGWFSfO5cOECysvL0bNnT4XzVUQXad2PHTvGM3CAyn15VXmXdZeVx+rVq/H999/j9OnTNQzS+tCyZUs0atQImZmZcHZ2xrZt21BcXCyzPkDl3tMOHTqgc+fO9SrH3t6e5xWzadOmCu/1q60vrFq1CiEhIVi3bh1sbW0hFArh4+PzzhzBVO8H8fHxGDNmDAIDA+Hq6gpdXV2Eh4djzZo1PLna+oqysjIiIiIQFxeHU6dOYcOGDVi4cCESEhK4/YJVGThwIMRiMbZu3QoTExNIJBK0a9furbVBbc9DHs2aNcO4ceMwbtw4LF26FNbW1ti0aRMCAwMVKrOwsBCBgYEYOnRojTgNDQ0UFhbC2NgYUVFRNeLftoMdBoPBYNQfZhgyPgqICBsub4AAAhBqOo8RQIANlzegp0lPhWYN3yZqamoAwPMO2LRpU5iYmODmzZsYM2ZMQ6lWK0eOHMHnn3/+Wp4DZdW9TZs2UFdXR25uLhwdHV9bz7dFUFAQli9fjpMnT8qcsaoPd+7cwaNHj7iZm+oGcVUKCwuxf/9+rFy5UmZ8bm4u7t27BxMTEwDA+fPnoaSkhFatWkFTUxOWlpY8eSsrK2hqaiIyMhKTJ09+Jf1jY2MxePBgjB07FkClgZKRkYE2bdpwMu/SA2ZcXBzEYjEWLlzIhd26dave+QgEAjg4OMDBwQF+fn4Qi8U4dOgQ5syZw5N79OgR0tPTuWNMAODcuXM8GVl9vToWFhZQU1NDbGwsxGIxgEpPw4mJiW/8bFR9fX0YGxvznOmUl5cjKSkJXbt2BQCkp6ejoKAANjY2AIBOnTohPT29Rh+S0qlTJ9y/fx8qKipyjxGxsbFBQkICxo8fz4WdP3/+DdWKwWAwGPWBGYaMj4IySRnuv7gv0ygEAALh/ov7KJOUQU1Z7R1rx6dJkybQ1NTEiRMn0Lx5c2hoaEBXVxeBgYHw9vaGrq4u3NzcUFJSgqSkJDx58qTGwLQh+OOPP7BkyZLXykMsFkMgEODo0aP47LPPoKmpCW1tbcybNw9ff/01JBIJevXqhadPnyI2NhY6Ojrw9PR8QzV4dX744Qf4+flh7969MDMzw/379wFUutkXiUS1ppXOugwbNgxGRkbIysrCggULYGlpCVdX1zrL3rdvH8rLyzkjrDoaGhrw9PTE6tWr8ezZM3h7e2PkyJGcR09Z8r6+vliwYAHU1NTg4OCA/Px8pKSkyPR4KgsrKyv8/vvviIuLg76+PtauXYsHDx7wDEMzMzMkJCQgJycHIpEIBgYGUFJ6O46yrayskJubi/DwcHTp0gXHjh3DoUOH6pVHQkICIiMj0b9/fzRp0gQJCQnIz8/njKSq6Ovrw9DQEFu2bIGxsTFyc3PxzTff8GTkvedVEQqFmD59OubPnw8DAwO0aNECQUFBKCoqUvhZyGLz5s1ITk7GkCFDYGFhgZcvX2LXrl1ISUnBhg0bODlVVVXMmjUL69evh4qKCmbOnInu3btzhqKfnx8GDBiAFi1aYPjw4VBSUsKVK1fwv//9D8uWLYOLiwt69OgBd3d3BAUFwdraGvfu3cOxY8cwZMgQ2NvbY/bs2fDy8oK9vT0cHBywZ88epKSkoGXLlq9cPwaDwWC8GswwZHwUqCmrIXxAOB6/fCxXxkDDoMGNQqByX8/69euxZMkS+Pn5oXfv3oiKisLkyZOhpaWFVatWYf78+RAKhbC1tX3jMwevQlZWFjIzMxUyZGqjWbNmCAwMxDfffIMJEyZg/PjxCAsLw9KlS9G4cWOsXLkSN2/ehJ6eHjp16oTvvvvuDdXg9fj5559RWlqK4cOH88L9/f1rPR4DqFyiePXqVezcuRMFBQUwMTFB//79sXTp0hpLZWWxfft2DB06VO7SPEtLSwwdOhSfffYZHj9+jAEDBvCOOZHF4sWLoaKiAj8/P9y7dw/GxsY19oHVxqJFi3Dz5k24urpCS0sLU6dOhbu7O++YjHnz5sHT0xNt2rRBcXExsrOz39rh9IMGDcLXX3+NmTNnoqSkBJ9//jkWL15c57Opio6ODs6ePYt169bh2bNnEIvFWLNmDW+PphQlJSWEh4fD29sb7dq1Q6tWrbB+/Xre0TPy3vPqfP/995BIJBg3bhyeP38Oe3t7nDx5ss7jTGqja9euOHfuHKZNm4Z79+5BJBKhbdu2OHz4MG9WXktLC76+vhg9ejTu3r2L3r17Y/v27Vy8q6srjh49iiVLluCHH36AqqoqWrduzc00CwQC/PXXX1i4cCEmTJiA/Px8GBkZoU+fPtze3VGjRnE/hrx8+RLDhg3D9OnTcfLkyVeuH4PBYDBeDQHRWz7dm8F4A7x8+RLZ2dkwNzdX2KEH492xdu1anD59Gn/99VdDq8L4wDAzM4OPj89/4geQj4mwsDD4+PigoKCgoVXhYH2B0dCwsQjjQ4cdcM9gMF6b5s2b49tvv21oNRgfKL6+vhCJRLwZR8bHw4oVKyASiZCbm9vQqjAYDMYHDVtKymAwXpuRI0c2tAr/WWJiYmQuN5Qi9brKkE10dDTKysoAgHeUBOPjYdq0adw3pnHjxg2sDYPBYHy4sKWkjPcCtnyD8b5SXFyMu3fvyo2X59GRwWAwGP8t2FiE8aHDZgwZDAbjLSLrSAgGg8FgMBiM/xpsjyGDwWAwGAwGg8FgfOQww5DBYDAYDAaDwWAwPnKYYchgMBgMBoPBYDAYHznMMGQwGAwGg8FgMBiMjxxmGDIYDAaDwWAwGAzGRw4zDBmMt4yTkxN8fHwaWo1aMTMzw7p1696bfN8kAoEAhw8fbmg13goBAQHo0KHDG80zJycHAoEAycnJbzRfeZiZmUEgEEAgEKCgoOCdlPkqeHl5wd3d/T+Tz/vO2+i7/0UCAgK4/v1f/1YyGIwPH2YYMj5K4u/FY/DhwYi/F//Wyzp48CCWLl2qsPy7Hni/aXbu3IlevXoBABITEzF16lSF00ZFRf3nDQBZbN26Fb1794a+vj709fXh4uKCCxcuKJzey8uLGxxKLzc3t1rThIWF1UgjvR4+fPi6VXrr1OcHkyVLliAvLw+6uroy26rqZWZm9lb1flPIe89DQkIQFhb2TnQ4c+YMPvvsMxgaGkJLSwtt2rTB3Llzaz1387/K+/rdnDdvHvLy8tC8efOGVoXBYDCYYcj4+CAihFwKwc2nNxFyKQRE9FbLMzAwgLa29lstQx5lZWXvvMwjR45g0KBBAIDGjRtDS0vrnetARCgvL39n5UVFRcHDwwNnzpxBfHw8TE1N0b9//3oNsN3c3JCXl8ddv/76a63yo0aN4snn5eXB1dUVjo6OaNKkyetW6T+FtrY2jIyMIBAIEBISwqszAISGhnL3iYmJvLSlpaUNofIro6urCz09vbdezubNm+Hi4gIjIyMcOHAAqamp2LRpE54+fYo1a9a89fIZlYhEIhgZGUFZWbmhVWEwGAxmGDLef4rKiuReJRUlNWTP5J5ByqMUAEDKoxScyT2DorIivCx/WWe+r0L1mREzMzOsWLECEydOhLa2Nlq0aIEtW7Zw8ebm5gCAjh07QiAQwMnJiYvbtm0bbGxsoKGhgdatW2Pjxo1cnPQX83379sHR0REaGhrYs2cPtzRt9erVMDY2hqGhIb766qtajUaBQIDNmzdjwIAB0NLSgo2NDeLj45GZmQknJycIhUL07NkTWVlZvHQvX77EqVOnOMOw+lJSgUCAbdu2YciQIdDS0oKVlRX++OMPTv++ffsCAPT19SEQCODl5QUAkEgkWLlyJczNzaGpqQk7Ozv8/vvvXL7Smcbjx4+jc+fOUFdXx7lz5+Dk5ARvb28sWLAABgYGMDIyQkBAgNx6S9tw//796N27NzQ1NdGlSxdkZGQgMTER9vb2EIlE+PTTT5Gfn8+l27NnD2bMmIEOHTqgdevW2LZtGyQSCSIjI+WWVR11dXUYGRlxl76+fq3ympqaPHllZWX8/fffmDRpUg3ZzZs3w9TUFFpaWhg5ciSePn1aa94SiQRBQUGwtLSEuro6WrRogeXLl/Nkbt68ib59+0JLSwt2dnaIj/939v3Ro0fw8PBAs2bNoKWlBVtbW56h6+XlhejoaISEhHAzfTk5OQq0UqXhVLXeAKCnp8fdd+nSBUuXLsX48eOho6PDzVj7+vrC2toaWlpaaNmyJRYvXsx7B6RLF3fv3g0zMzPo6uriiy++wPPnzzmZ33//Hba2ttDU1IShoSFcXFzw4sULmXqeOHECvXr1gp6eHgwNDTFgwADe+yLvPa++lLSkpATe3t5o0qQJNDQ00KtXL57xK+37kZGRsLe3h5aWFnr27In09HS5bXjnzh14e3vD29sbO3bsgJOTE8zMzNCnTx9s27YNfn5+nOyBAwfQtm1bqKurw8zMrIbRaGZmhmXLlmH8+PEQiUQQi8X4448/kJ+fj8GDB0MkEqF9+/ZISkri0oSFhUFPTw+HDx+GlZUVNDQ04Orqitu3b8vVGaj9+/e6382DBw/K7c8AcO7cOe6bYGpqCm9vb96z37hxI1eXpk2bYvjw4VxcffoNg8FgNCjEYLwHFBcXU2pqKhUXF9eIaxfWTu41PWI6T9Z+t71cWa/jXjzZ3r/2riHzKjg6OtLs2bO5e7FYTAYGBvTTTz/RjRs3aOXKlaSkpETXr18nIqILFy4QADp9+jTl5eXRo0ePiIjol19+IWNjYzpw4ADdvHmTDhw4QAYGBhQWFkZERNnZ2QSAzMzMOJl79+6Rp6cn6ejo0LRp0ygtLY3+/PNP0tLSoi1btvB0Cg4O5u4BULNmzWjfvn2Unp5O7u7uZGZmRp988gmdOHGCUlNTqXv37uTm5sar69GjR8na2rrWfJs3b0579+6lGzdukLe3N4lEInr06BGVl5fTgQMHCAClp6dTXl4eFRQUEBHRsmXLqHXr1nTixAnKysqi0NBQUldXp6ioKCIiOnPmDAGg9u3b06lTpygzM5MePXpEjo6OpKOjQwEBAZSRkUE7d+4kgUBAp06d4ul06NAhXhtKy5LWs3PnzuTk5ETnzp2jS5cukaWlJU2bNk3uM3/27BlpaGjQn3/+WVf3ICIiT09P0tXVpcaNG5O1tTVNmzaN/vnnH4XSSlm9ejXp6upSUVERF+bv709CoZA++eQTunz5MkVHR5OlpSWNHj261rwWLFhA+vr6FBYWRpmZmRQTE0Nbt24lIn4bHT16lNLT02n48OEkFouprKyMiIju3LlDq1atosuXL1NWVhatX7+elJWVKSEhgYiICgoKqEePHjRlyhTKy8ujvLw8Ki8vl6lL9T5UnarPTyqvo6NDq1evpszMTMrMzCQioqVLl1JsbCxlZ2fTH3/8QU2bNqUffviB11YikYiGDh1K165do7Nnz5KRkRF99913RER07949UlFRobVr11J2djZdvXqVfvrpJ3r+/DkRVT7DwYMHc/n9/vvvdODAAbpx4wZdvnyZBg4cSLa2tlRRUUFE8t/z6vl4e3uTiYkJ/fXXX5SSkkKenp6kr6/PyUv7frdu3SgqKopSUlKod+/e1LNnT7lttnbtWgJA9+7dkytDRJSUlERKSkq0ZMkSSk9Pp9DQUNLU1KTQ0FBeexsYGNCmTZsoIyODpk+fTjo6OuTm5kb79+/nvh82NjYkkUiIiCg0NJRUVVXJ3t6e4uLiKCkpibp27crT2d/fn+zs7Lj7ur5/r/vdrK0/Z2ZmklAopODgYMrIyKDY2Fjq2LEjeXlV/s1ITEwkZWVl2rt3L+Xk5NClS5coJCREoX5TtR1r6+eM/wa1jUUYjA8BZhgy3gvelGHYaVen/4RhOHbsWO5eIpFQkyZN6Oeffyaifwcqly9f5uVjYWFBe/fu5YUtXbqUevTowUu3bt06noynpyeJxWLewHvEiBE0atQonk7VDbhFixZx9/Hx8QSAtm/fzoX9+uuvpKGhwStrypQpNG/ePIXzLSwsJAB0/PhxIvp3kPvkyRNO5uXLl6SlpUVxcXG8siZNmkQeHh68dIcPH+bJODo6Uq9evXhhXbp0IV9fX55O1Q3Dbdu28eoJgCIjI7mwlStXUqtWrUge06dPp5YtWyo8ePj111/pyJEjdPXqVTp06BDZ2NhQly5d5BpLsrCxsaHp0/n93d/fn5SVlenOnTtc2PHjx0lJSYny8vJk5vPs2TNSV1fnDMHqyGqjlJQUAkBpaWly9fv8889p7ty53H3190Ier2IYuru715nvqlWrqHPnzty9v78/aWlp0bNnz7iw+fPnU7du3YiI6OLFiwSAcnJyZOZX3aCrTn5+PgGga9euEZH897xqPoWFhaSqqkp79uzh4ktLS8nExISCgoKI6N++f/r0aU7m2LFjBEBu/5Mab3UxevRo6tevHy9s/vz51KZNG+6++vcsLy+PANDixYu5MOn3Q9rnQkNDCQCdP3+ek0lLSyMA3I8H1Q1DRb9/r/rdrK0/T5o0iaZOncrLIyYmhpSUlKi4uJgOHDhAOjo6vL4jpa5+I4UZhu8HzDBkfOiovK2ZSAbjXZEwOkFunLLSv/s2iAgWehZIf5IOCUm4cCWBElrpt8JG5428tCeGnXjzyv4/7du35/4vEAhgZGRUq8OQFy9eICsrC5MmTcKUKVO48PLycujq6vJk7e3ta6Rv27Ytbw+LsbExrl27prCOTZs2BQDY2trywl6+fIlnz55BR0cHRIQ///wT+/fvVzhfoVAIHR2dWuuemZmJoqIi9OvXjxdeWlqKjh078sJk1b1qeUBl3etyzqJI3eXl8f333yM8PBxRUVHQ0NCotRwpX3zxBfd/W1tbtG/fHhYWFoiKioKzszM+/fRTxMTEAADEYjFSUlJ46ePj45GWlobdu3fXyLtFixZo1qwZd9+jRw9IJBKkp6fjxo0b+PTTT7m4zZs3w8rKCiUlJXB2dq5V56ptZGxsDAB4+PAhWrdujYqKCqxYsQL79+/H3bt3UVpaipKSkne231RWP9i3bx/Wr1+PrKwsFBYWory8HDo6OjwZMzMz3n7gqn3Fzs4Ozs7OsLW1haurK/r374/hw4fLXfJ748YN+Pn5ISEhAf/88w8kkspvTm5uLtq1a6dQPbKyslBWVgYHBwcuTFVVFV27dkVaWhpPVt7zaNGiRY18iQgCgaDO8tPS0jB48GBemIODA9atW4eKigrum6LI+yLVR7r8V0VFBV26dOFkWrduDT09PaSlpaFr1668Muvz/XvVdLX15ytXruDq1avYs2cPJ0NEkEgkyM7ORr9+/SAWi9GyZUu4ubnBzc2NWy5f337DYDAYDQkzDBnvPVqqig024+7FIe1xWo1wCUmQ9jgNlx5egkOzfwdgiub7KqiqqvLuBQIBN3CURWFhIYBK75fdunXjxVV3WiAUCl+7vOpppINIWWHSfC5cuIDy8nL07NlT4XwV0UVa92PHjvEMHKByX15V3mXdZeWxevVqfP/99zh9+nQNg7Q+tGzZEo0aNUJmZiacnZ2xbds2FBcXy6wPULmHqkOHDujcuXO9yrG3t+d5cWzatKnCe/1q6wurVq1CSEgI1q1bB1tbWwiFQvj4+LwzRzDV+0F8fDzGjBmDwMBAuLq6QldXF+Hh4TX2y9XWV5SVlREREYG4uDicOnUKGzZswMKFC5GQkMDtb6vKwIEDIRaLsXXrVpiYmEAikaBdu3ZvrQ1qex7Vsba2xtOnT5GXl8cZQW+67ProUxf1+f69arra9C0sLMSXX34Jb2/vGmW0aNECampquHTpEqKionDq1Cn4+fkhICAAiYmJ0NPTq1e/YTAYjIaEOZ9hfBQQETZc3gABZP9KLoAAGy5veOseShVBTU0NAFBRUcGFNW3aFCYmJrh58yYsLS15139lcHHkyBF8/vnnr+VdT1bd27RpA3V1deTm5taou6mp6Wvr/aYICgrC0qVLceLECZkzVvXhzp07ePToETdob9asGVdnsVjMky0sLMT+/ftlOp0BKmeo7t27x92fP38eSkpKaNWqFTQ1NXntqa2tDSsrK2hqatbLcU51YmNjMXjwYIwdOxZ2dnZo2bIlMjIyeDJqamq85/w2iYuLg1gsxsKFC2Fvbw8rKyvcunWr3vkIBAI4ODggMDAQly9fhpqaGg4dOlRD7tGjR0hPT8eiRYvg7OwMGxsbPHnyhCcjq69Xx8LCAmpqaoiNjeXCysrKkJiYiDZt2tRbfynDhw+HmpoagoKCZMZLj4uxsbHhlQ1UPltra+vX9qJZXl7Oc0iTnp6OgoIC2NjY1JBV5Pv3Nr+bnTp1Qmpqao08LC0tuXJVVFTg4uKCoKAgXL16FTk5Ofj7778BKN5vGAwGo6FhM4aMj4IySRnuv7gPgmzDj0C4/+I+yiRlUFNWe8fa8WnSpAk0NTVx4sQJNG/eHBoaGtDV1UVgYCC8vb2hq6sLNzc3lJSUICkpCU+ePMGcOXMaVGcA+OOPP7BkyZLXykMsFkMgEODo0aP47LPPoKmpCW1tbcybNw9ff/01JBIJevXqhadPnyI2NhY6Ojrw9PR8QzV4dX744Qf4+flh7969MDMzw/379wFUuqIXiUS1pi0sLERgYCCGDRsGIyMjZGVlYcGCBbC0tISrq2udZe/btw/l5eUYO3aszHgNDQ14enpi9erVePbsGby9vTFy5EhuSZ8seV9fXyxYsABqampwcHBAfn4+UlJS5Bqf1bGyssLvv/+OuLg46OvrY+3atXjw4AHPmDEzM0NCQgJycnIgEolgYGAAJaW381ullZUVcnNzER4eji5duuDYsWP1HpgnJCQgMjIS/fv3R5MmTZCQkID8/HyZhoy+vj4MDQ2xZcsWGBsbIzc3F9988w1PRt57XhWhUIjp06dj/vz5MDAwQIsWLRAUFISioiKFn4UsTE1NERwcjJkzZ+LZs2cYP348zMzMcOfOHezatQsikQhr1qzB3LlzOS+vo0aNQnx8PH788UeeV89XRVVVFbNmzcL69euhoqKCmTNnonv37jWWkUqp6/v3Nr+bvr6+6N69O2bOnInJkydDKBQiNTUVERER+PHHH3H06FHcvHkTffr0gb6+Pv766y9IJBK0atWqXv2GwWAwGhpmGDI+CtSU1RA+IByPXz6WK2OgYdDgRiFQ+cvz+vXrsWTJEvj5+aF3796IiorC5MmToaWlhVWrVmH+/PkQCoWwtbVV+JDwt0lWVhYyMzMVMmRqo1mzZggMDMQ333yDCRMmYPz48QgLC8PSpUvRuHFjrFy5Ejdv3oSenh46deqE77777g3V4PX4+eefUVpaynNRDwD+/v61Ho8BVC5pu3r1Knbu3ImCggKYmJigf//+WLp0aY2lsrLYvn07hg4dKvfsO0tLSwwdOhSfffYZHj9+jAEDBtQ5sF+8eDFUVFTg5+eHe/fuwdjYGNOmTatTFymLFi3CzZs34erqCi0tLUydOhXu7u68YzLmzZsHT09PtGnTBsXFxcjOzn5rh9MPGjQIX3/9NWbOnImSkhJ8/vnnWLx4cZ3Ppio6Ojo4e/Ys1q1bh2fPnkEsFmPNmjW8PZpSlJSUEB4eDm9vb7Rr1w6tWrXC+vXreUcoyHvPq/P9999DIpFg3LhxeP78Oezt7XHy5MnX3qM2Y8YMWFtbY/Xq1RgyZAiKi4thZmaGAQMGcAZTp06dsH//fvj5+WHp0qUwNjbGkiVLuGNkXgctLS34+vpi9OjRuHv3Lnr37o3t27fLla/r+/c2v5vt27dHdHQ0Fi5ciN69e1fuV7ewwKhRowBUHpdy8OBBBAQE4OXLl7CyssKvv/6Ktm3bIi0tTeF+w2AwGA2NgP4La+cYjDp4+fIlsrOzYW5urrBDD8a7Y+3atTh9+jT++uuvhlaF8YFhZmYGHx+f/8QPIIw3Q1hYGHx8fLglqwzWz98X2FiE8aHD9hgyGIzXpnnz5vj2228bWg3GB4qvry9EIhFvxpHB+BBYsWIFRCIRcnNzG1oVBoPBYEtJGQzG6zNy5MiGVuE/S0xMTK3LxqSeExmyiY6ORllZGQDwjpJgMD4Epk2bxn0/Gzdu3MDaMBiMjx22lJTxXsCWbzDeV4qLi3H37l258ZaWlu9QGwaDwWC8KmwswvjQYTOGDAaD8RaRHgnBYDAYDAaD8V+G7TFkMBgMBoPBYDAYjI8cZhgyGAwGg8FgMBgMxkcOMwwZDAaDwWAwGAwG4yOHGYYMBoPBYDAYDAaD8ZHDDEMGg8FgMBgMBoPB+MhhhiGDwWAw6sTMzAwCgQACgQAFBQUNrY5cvLy84O7u/p/J530mICAAHTp04N1L+8C6desaTC8Gg8FgvB2YYcj4eDizEogOkh0XHVQZ/5a4ffs2Jk6cCBMTE6ipqUEsFmP27Nl49OjRWyuzPty6dQuamprcYeuPHz+Gj48PxGIx1NTUYGJigokTJyI3N7dB9czJycGkSZNgbm4OTU1NWFhYwN/fH6WlpbWm8/Ly4ga0Va+2bdvKlTE0NISbmxuuXr1ap04CgQDJyclvoooICwuDnp7eG8lLEZycnODj46OQ7JIlS5CXlwddXV25bSq9zMzM3qrebwp5zy8kJARhYWFvvfzo6Gh88sknMDAwgJaWFqysrODp6Vlnn24I5s2bh7y8PDRv3ryhVWEwGAzGW4AZhoyPByVl4MzymsZhdFBluJLyWyn25s2bsLe3x40bN/Drr78iMzMTmzZtQmRkJHr06IHHjx+/lXLrw5EjR9C3b1+IRCI8fvwY3bt3x+nTp7Fp0yZkZmYiPDwcmZmZ6NKlC27evNlgel6/fh0SiQSbN29GSkoKgoODsWnTJnz33Xe1pgsJCUFeXh533b59GwYGBhgxYgRPzs3NjZOJjIyEiooKBgwY8Dar9Mo0hOGgra0NIyMjCASCGm0KAKGhodx9YmJig+v7Oujq6r51Az01NRVubm6wt7fH2bNnce3aNWzYsAFqamqoqKh4q2W/CiKRCEZGRlBWfjvfSgaDwWA0MMRgvAcUFxdTamoqFRcX/xsokRCVFNbvilxK5K9T+a+se0UuiaReuru5uVHz5s2pqKiIF56Xl0daWlo0bdo0IiLasGEDtW3blos/dOgQAaCff/6ZC3N2dqaFCxdy94cPH6aOHTuSuro6mZubU0BAAJWVlXHxAGjr1q3k7u5OmpqaZGlpSUeOHKmh4yeffMKVM23aNBIKhZSXl8eTKSoqombNmpGbmxsREf3555+kq6tL5eXlRER0+fJlAkC+vr5cmkmTJtGYMWO4+5iYGOrVqxdpaGhQ8+bNadasWVRYWMjFi8ViWr58OU2YMIFEIhGZmprS5s2ba23foKAgMjc3r1WmOocOHSKBQEA5OTlcmKenJw0ePJgnFxMTQwDo4cOHcvPKzs4mAHT58mUiIjpz5gwBoNOnT1Pnzp1JU1OTevToQdevX+fSJCcnk5OTE4lEItLW1qZOnTpRYmIil7bq5e/vz7XNkiVLaNy4caStrU2enp6c/JMnT7i8pc8hOzubCzt37hw5OjqSpqYm6enpUf/+/enx48fk6elZo7yq6aoiFospODhYbjsAoEOHDvHkq+tLRLRgwQKysrIiTU1NMjc3p0WLFlFpaSmXzt/fn+zs7GjXrl0kFotJR0eHRo0aRc+ePeNkfvvtN2rXrh1paGiQgYEBOTs7c/2o+nM8fvw4OTg4kK6uLhkYGNDnn39OmZmZPL2rXo6OjjLzefnyJc2aNYsaN25M6urq5ODgQBcuXODiFXnu1QkODiYzMzO58UREoaGhpKurS4cOHSJLS0tSV1en/v37U25uLk+urm/BkydPaNKkSdSoUSPS1tamvn37UnJyMi+PlStXUpMmTUgkEtHEiRPJ19eX7OzsauhUV19gMD5UZI5FGIwPCDZjyHh/KSsCVpjU7zq7qjLt2VWy7xW5yooUVvHx48c4efIkZsyYAU1NTV6ckZERxowZg3379oGI4OjoiNTUVOTn5wOoXGLWqFEjREVFVVa3rAzx8fFwcnICAMTExGD8+PGYPXs2UlNTsXnzZoSFhWH58uW8cgIDAzFy5EhcvXoVn332GcaMGcObpSwoKMC5c+cwaNAgSCQShIeHY8yYMTAyMuLlo6mpiRkzZuDkyZN4/PgxevfujefPn+Py5csy9ZWGSfXNysqCm5sbhg0bhqtXr2Lfvn04d+4cZs6cyStnzZo1sLe3x+XLlzFjxgxMnz4d6enpctv46dOnMDAwqP1BVGP79u1wcXGBWCyWK1NYWIhffvkFlpaWMDQ0rFf+ALBw4UKsWbMGSUlJUFFRwcSJE7m4MWPGoHnz5khMTMTFixfxzTffQFVVFT179sS6deugo6PDzbzNmzePS7d69WrY2dnh8uXLWLx4sUJ6JCcnw9nZGW3atEF8fDzOnTuHgQMHoqKiAiEhIejRowemTJnClWdqalrvuspDlr7a2toICwtDamoqQkJCsHXrVgQHB/PSZWVl4fDhwzh69CiOHj2K6OhofP/99wCAvLw8eHh4YOLEiUhLS0NUVBSGDh0KIpKpw4sXLzBnzhwkJSUhMjISSkpKGDJkCCQSCQDgwoULAIDTp08jLy8PBw8elJnPggULcODAAezcuROXLl2CpaUlXF1da8z41/bcq2NkZIS8vDycPXu21nYsKirC8uXLsWvXLsTGxqKgoABffPEFF6/It2DEiBF4+PAhjh8/josXL6JTp05wdnbm9N+/fz8CAgKwYsUKJCUlwdjYGBs3bqxVLwaDwWB8YDS0ZcpgKILMX+lKCitn+971VVIoX9FqnD9/vsZMSlXWrl1LAOjBgwckkUjI0NCQfvvtNyIi6tChA61cuZKMjIyIqHLWR1VVlV68eEFElbOHK1as4OW3e/duMjY25u4B0KJFi7j7wsJCAkDHjx/nwvbs2UP29vZERHT//n0CIHc24ODBgwSAEhISiIioU6dOtGrVKiIicnd3p+XLl5Oamho9f/6c7ty5QwAoIyODiCpnD6dOncrLLyYmhpSUlLjnKhaLaezYsVy8RCKhJk2a8GZNq3Ljxg3S0dGhLVu2yIyXxd27d0lZWZn27dvHC/f09CRlZWUSCoUkFAoJABkbG9PFixdrza+2GUMpx44dIwBcPbW1tSksLExmftIZouqIxWJyd3fnhSkyY+jh4UEODg5y9Xd0dKTZs2fXWkdp+fWdMayuryxWrVpFnTt35u79/f1JS0uLN0M4f/586tatGxERXbx4kQDwZnurImvmtyr5+fkEgK5du0ZENZ+frHwKCwtJVVWV9uzZw8WXlpaSiYkJBQUFEZFiz7065eXl5OXlRQDIyMiI3N3dacOGDfT06VNOJjQ0lADQ+fPnubC0tDTee1jXtyAmJoZ0dHTo5cuXPBkLCwtuRr5Hjx40Y8YMXny3bt3YjCGDUQU2Y8j40FF5l0Yog/FGUdUCvrtX/3TngitnCJXVgIpSoM98oNfX9Su3npCc2QwpampqEAgE6NOnD6KiouDi4oLU1FTMmDEDQUFBuH79OqKjo9GlSxdoaVWWf+XKFcTGxvJmBSoqKvDy5UsUFRVxcu3bt+fihUIhdHR08PDhQy7syJEjGDRoUL31BQBHR0dERUVh7ty5iImJwcqVK7F//36cO3cOjx8/homJCaysrDh9r169ij179vDKkUgkyM7Oho2NTQ19BQIBjIyMePpKuXv3Ltzc3DBixAhMmTKFCxeJRNz/x44di02bNvHS7dy5E3p6ejI9Tvbt2xc///wzAODJkyfYuHEjPv30U1y4cAFisRiffvopYmJiAABisRgpKSly26hqPYyNjQEADx8+RIsWLTBnzhxMnjwZu3fvhouLC0aMGAELCwu5eUmxt7evU6Y6ycnJNfZSvitk6btv3z6sX78eWVlZKCwsRHl5OXR0dHgyZmZm0NbW5u6NjY25PmBnZwdnZ2fY2trC1dUV/fv3x/Dhw6Gvry9Thxs3bsDPzw8JCQn4559/uJnC3NxctGvXTqF6ZGVloaysDA4ODlyYqqoqunbtirS0NJ5sbc+9OsrKyggNDcWyZcvw999/IyEhAStWrMAPP/yACxcucOlVVFTQpUsXLl3r1q2hp6eHtLQ0dO3atc5vwZUrV1BYWFhj5ru4uBhZWVkAgLS0NEybNo0X36NHD5w5c0ahNmIwGAzG+w8zDBnvLwIBoCasX5rooEqjsO9CwHHBv45nlNUq798wlpaWEAgESEtLw5AhQ2rEp6WloXHjxpyTCycnJ2zZsgUxMTHo2LEjdHR0OGMxOjoajo6OXNrCwkIEBgZi6NChNfLV0NDg/q+qqsqLEwgE3OC4tLQUJ06c4Jy3SHWpPtitqq+KigrMzc05fXfs2IErV65AVVUVrVu3hpOTE6KiovDkyZMa+n755Zfw9vaukW/VQXNt+kq5d+8e+vbti549e2LLli28uKreJasbHESEHTt2YNy4cZxxWxWhUAhLS0vuftu2bdDV1cXWrVuxbNkybNu2DcXFxTL1rE7VeIFAAABcPQICAjB69GgcO3YMx48fh7+/P8LDw2X2ker6VUVJSYmrl5SysjKeTPUlzO+S6vrGx8djzJgxCAwMhKurK3R1dREeHo41a9bw5GrrA8rKyoiIiEBcXBxOnTqFDRs2YOHChUhISOD6ZVUGDhwIsViMrVu3wsTEBBKJBO3atXtrznBqe+7yaNasGcaNG4dx48Zh6dKlsLa2xqZNmxAYGKhQmXV9CwoLC2FsbMxb5i3lXXrAZTAYDMZ/G7bHkPHxIDUCpUYhUPlv34WyvZW+AQwNDdGvXz9s3LiRMyik3L9/H3v27IGXlxcXJt1n+Ntvv3F785ycnHD69GnExsZyYQDQqVMnpKenw9LSssYlNRjqIioqCvr6+rCzswNQaWiMHDkSe/fuxf3793myxcXF2LhxI4YMGQJdXV0A4PYZBgcHc0ag1DCMioqqoW9qaqpMfWUZafK4e/cunJyc0LlzZ4SGhtaoa9V8mzRpwouLjo5GZmYmJk2apFBZAoEASkpK3LNr1qwZl3dt+xMVwdraGl9//TVOnTqFoUOHIjQ0FADq5ZGycePGAMB5BQVQ49iF9u3bIzIyUm4e79IDZlxcHMRiMRYuXAh7e3tYWVnh1q1b9c5HIBDAwcEBgYGBuHz5MtTU1HDo0KEaco8ePUJ6ejoWLVoEZ2dn2NjY4MmTJzwZad+rrQ0sLCygpqaG2NhYLqysrAyJiYlo06ZNvfWvDX19fRgbG+PFixdcWHl5OZKSkrj79PR0FBQUcLPsdX0LOnXqhPv370NFRaVGfKNGjQAANjY2SEhI4Oly/vz5N1o3BoPBYPy3YYYh4+NBUsE3CqVIjUPJ2xkc//jjjygpKYGrqyvOnj2L27dv48SJE+jXrx+sra3h5+fHybZv3x76+vrYu3cvzzA8fPgwSkpKeEvZ/Pz8sGvXLgQGBiIlJQVpaWkIDw/HokWLFNbtjz/+qLGMdPny5TAyMkK/fv1w/Phx3L59G2fPnoWrqyuUlJQQEhLCyerr66N9+/bYs2cPp2+fPn1w6dIlZGRk8GYMfX19ERcXh5kzZyI5ORk3btzAkSNHajifqQ2pUdiiRQusXr0a+fn5uH//fg0jVh7bt29Ht27d5C4hLCkp4fJLS0vDrFmzUFhYiIEDByqsY10UFxdj5syZiIqKwq1btxAbG4vExERukG9mZobCwkJERkbin3/+QVGRfGdHlpaWMDU1RUBAAG7cuIFjx47VmH379ttvkZiYiBkzZuDq1au4fv06fv75Z/zzzz9ceQkJCcjJyeEttXwbWFlZITc3F+Hh4cjKysL69etlGnS1IV1umZSUhNzcXBw8eBD5+flc+1VFX18fhoaG2LJlCzIzM/H3339jzpw5PJkmTZpAU1MTJ06cwIMHD/D06dMa+QiFQkyfPh3z58/HiRMnkJqaiilTpqCoqEjhHxlksXnzZkyfPh2nTp1CVlYWUlJS4Ovri5SUFF6fU1VVxaxZs5CQkICLFy/Cy8sL3bt3R9euXQHU/S1wcXFBjx494O7ujlOnTiEnJwdxcXFYuHAhZ3DOnj0bO3bsQGhoKDIyMuDv71/rUmkGg8FgfIA06A5HBkNB3vcN39nZ2eTp6UlNmzYlgUBAAGjo0KGcI5mqDB48mFRUVOj58+dERFRRUUH6+vrUvXv3GrInTpygnj17kqamJuno6FDXrl15jlggw/GNrq4uhYaGEhGRqakpRURE1Mg3Pz+fZs2aRaampqSsrEwAqGfPnvTo0aMasrNnzyYAlJaWxoXZ2dlxTnOqcuHCBerXrx+JRCISCoXUvn17Wr58ORcvy6mFnZ0dd2SD1BGHrKsuCgoKSFNTU66jmupHN2hra1OXLl3o999/rzVfec5n5DmEKSkpoS+++IJMTU1JTU2NTExMaObMmby+PW3aNDI0NKxxXIUshx/nzp0jW1tb0tDQoN69e9Nvv/1W49iJqKgo6tmzJ6mrq5Oenh65urpy+qWnp1P37t1JU1PzjR9XIUt+/vz5ZGhoSCKRiEaNGkXBwcE8ZzvS4yqqEhwcTGKxmIiIUlNTydXVlTs2wtramjZs2MDJVnc+ExERQTY2NqSurk7t27enqKioGrpu3bqVTE1NSUlJSe5xFcXFxTRr1ixq1KhRrcdV1HV0SFUuXbpEY8eOJXNzc1JXVydDQ0Pq06cP/fHHH5yM1BnRgQMHqGXLlqSurk4uLi5069YtXl51fQuePXtGs2bNIhMTE1JVVSVTU1MaM2YM79iL5cuXU6NGjUgkEpGnpyctWLCAOZ9hMKrwvo9FGIy6EBDV4WWCwfgP8PLlS2RnZ8Pc3Jy3f+59xd/fH2vXrkVERAS6d+/eIDpcunQJn3zyCfLz8+vcL7d9+3bMmDED+/btk+m0hfHhY2ZmBh8fH/j4+DS0Kh8VYWFh8PHxQUFBQUOrwsH6AuNj5UMbizAY1WFLSRmMBiAwMBDr16/H+fPn3+rSvdooLy/Hhg0b6jQKAWDSpEkIDw9HWlpajb2SjI8HX19fiEQimcstGR8+K1asgEgkQm5ubkOrwmAwGIy3AJsxZLwXsF/pGIyG5datW5zH05YtWyrs4IjxevyXZgwfP36Mx48fA6h0fCR1QsVgfCywsQjjQ4cZhoz3AvYxZjAYDAaD0ZCwsQjjQ4f95MtgMBgMBoPBYDAYHznMMGQwGAwGg8FgMBiMjxxmGDIYDAaDwWAwGAzGRw4zDBkMBoPBYDAYDAbjI4cZhgwGg8FgMBgMBoPxkcMMQwaDwWAwGAwGg8H4yGGGIYPBYDDqxMzMDAKBAAKB4D9xpp48vLy84O7u/p/J530nICAAHTp0aGg13joBAQFc/163bl1Dq8NgMBgNAjMMGR8PZ1YC0UGy46KDKuPfErdv38bEiRNhYmICNTU1iMVizJ49G48ePXprZdaHW7duQVNTE4WFhQAqD7L28fGBWCyGmpoaTExMMHHiROTm5jaonjk5OZg0aRLMzc2hqakJCwsL+Pv7o7S0tNZ0Xl5e3KCv6tW2bVu5MoaGhnBzc8PVq1fr1EkgECA5OflNVBFhYWHQ09N7I3kpgpOTE3x8fBSSXbJkCfLy8qCrqyu3TaWXmZnZW9X7TSHv+YWEhCAsLOyd6HDmzBl89tlnMDQ0hJaWFtq0aYO5c+fi7t2776T8N8mbfh/eFfPmzUNeXh6aN2/e0KowGAxGg8EMQ8bHg5IycGZ5TeMwOqgyXEn5rRR78+ZN2Nvb48aNG/j111+RmZmJTZs2ITIyEj169MDjx4/fSrn14ciRI+jbty9EIhEeP36M7t274/Tp09i0aRMyMzMRHh6OzMxMdOnSBTdv3mwwPa9fvw6JRILNmzcjJSUFwcHB2LRpE7777rta04WEhCAvL4+7bt++DQMDA4wYMYIn5+bmxslERkZCRUUFAwYMeJtVemXqMobfBtra2jAyMoJAIKjRpgAQGhrK3ScmJja4vq+Drq7uOzHQN2/eDBcXFxgZGeHAgQNITU3Fpk2b8PTpU6xZs+atl8+oRCQSwcjICMrKb+fvAIPBYLwXEIPxHlBcXEypqalUXFxcM7KkUP5VWk0+cimRv07lvyWF/PvSorrzfQXc3NyoefPmVFTEzz8vL4+0tLRo2rRpRES0YcMGatu2LRd/6NAhAkA///wzF+bs7EwLFy7k7g8fPkwdO3YkdXV1Mjc3p4CAACorK+PiAdDWrVvJ3d2dNDU1ydLSko4cOVJDx08++YQrZ9q0aSQUCikvL48nU1RURM2aNSM3NzciIvrzzz9JV1eXysvLiYjo8uXLBIB8fX25NJMmTaIxY8Zw9zExMdSrVy/S0NCg5s2b06xZs6iw8N92FYvFtHz5cpowYQKJRCIyNTWlzZs319q+QUFBZG5uXqtMdQ4dOkQCgYBycnK4ME9PTxo8eDBPLiYmhgDQw4cP5eaVnZ1NAOjy5ctERHTmzBkCQKdPn6bOnTuTpqYm9ejRg65fv86lSU5OJicnJxKJRKStrU2dOnWixMRELm3Vy9/fn2ubJUuW0Lhx40hbW5s8PT05+SdPnnB5S59DdnY2F3bu3DlydHQkTU1N0tPTo/79+9Pjx4/J09OzRnlV01VFLBZTcHCw3HYAQIcOHeLJV9eXiGjBggVkZWVFmpqaZG5uTosWLaLS0lIunb+/P9nZ2dGuXbtILBaTjo4OjRo1ip49e8bJ/Pbbb9SuXTvS0NAgAwMDcnZ25vpR9ed4/PhxcnBwIF1dXTIwMKDPP/+cMjMzeXpXvRwdHWXm8/LlS5o1axY1btyY1NXVycHBgS5cuMDFK/Lcq3P79m1SU1MjHx8fmfFVn+vvv/9Obdq0ITU1NRKLxbR69WqerFgspqVLl9K4ceNIKBRSixYt6MiRI/Tw4UMaNGgQCYVCsrW1pcTERC5NaGgo6erq0qFDh8jS0pLU1dWpf//+lJubW+N5VGXr1q3UunVrUldXp1atWtFPP/1UZ3vWlU76Hh04cICcnJxIU1OT2rdvT3Fxcbyy6/qG/PTTT1xdmjRpQsOGDePiaus3Vduxtn7O+LipdSzCYHwAMMOQ8V5Q68fYX0f+9ctwvuwyI/myOz7jy/5gXlOmnjx69IgEAgGtWLFCZvyUKVNIX1+fJBIJXb16lQQCAWeE+Pj4UKNGjWjUqFFERFRaWkpaWloUERFBRERnz54lHR0dCgsLo6ysLDp16hSZmZlRQEAAlz8Aat68Oe3du5du3LhB3t7eJBKJ6NGjR5zMkydPSE1Nje7evUsVFRWkp6dHU6dOlanv8uXLSSAQ0KNHj6igoICUlJS4gea6deuoUaNG1K1bN07e0tKStm7dSkREmZmZJBQKKTg4mDIyMig2NpY6duxIXl5enLxYLCYDAwP66aef6MaNG7Ry5UpSUlKqdXC9cOFC6ty5s/yHIIMBAwZQv379eGHVDYHnz5/Tl19+SZaWllRRUSE3L3mGYbdu3SgqKopSUlKod+/e1LNnTy5N27ZtaezYsZSWlkYZGRm0f/9+Sk5OppKSElq3bh3p6OhQXl4e5eXl0fPnz7m20dHRodWrV1NmZiZlZmYqZBhevnyZ1NXVafr06ZScnEz/+9//aMOGDZSfn08FBQXUo0cPmjJlClee1NCvzqsYhtX1JSJaunQpxcbGUnZ2Nv3xxx/UtGlT+uGHH7h0/v7+JBKJaOjQoXTt2jU6e/YsGRkZ0XfffUdERPfu3SMVFRVau3YtZWdn09WrV+mnn37i2qn6c/z999/pwIEDdOPGDbp8+TINHDiQbG1tuWd64cIFzqDLy8vj3o3q+Xh7e5OJiQn99ddflJKSQp6enqSvr8/JK/Lcq7N27VoCQPfu3ZMrQ0SUlJRESkpKtGTJEkpPT6fQ0FDS1NSk0NBQXnsbGBjQpk2bKCMjg6ZPn046Ojrk5uZG+/fvp/T0dHJ3dycbGxuSSCREVGkYqqqqkr29PcXFxVFSUhJ17dqVp3N1w/CXX34hY2NjOnDgAN28eZMOHDhABgYGFBYWVmt71pVO+h61bt2ajh49Sunp6TR8+HASi8Xcj111fUMSExNJWVmZ9u7dSzk5OXTp0iUKCQlRqN9UbUdmGDLkwQxDxocOMwwZ7wXvq2F4/vz5GgPmqkgHhg8ePCCJREKGhob022+/ERFRhw4daOXKlWRkZERElbM+qqqq9OLFCyKqnD2sbnDu3r2bjI2NuXsAtGjRIu6+sLCQANDx48e5sD179pC9vT0REd2/f58AyB0YHTx4kABQQkICERF16tSJVq1aRURE7u7utHz5clJTU6Pnz5/TnTt3CABlZGQQUeXsYXWDMyYmhpSUlLjnKhaLaezYsVy8RCKhJk2a8GZNq3Ljxg3S0dGhLVu2yIyXxd27d0lZWZn27dvHC/f09CRlZWUSCoUkFAoJABkbG9PFixdrza+2GUMpx44dIwBcPbW1tbkBcXWkszjVEYvF5O7uzgtTxDD08PAgBwcHufo7OjrS7Nmza62jtPz6GobV9ZXFqlWreIa9v78/aWlp8WYI58+fz/3gcPHiRQLAm+2tiqyZ36rk5+cTALp27RoR1Xx+svIpLCwkVVVV2rNnDxdfWlpKJiYmFBQURESKPffqSI23uhg9enSNHzLmz59Pbdq04e6rvzt5eXkEgBYvXsyFxcfHEwBuNUBoaCgBoPPnz3MyaWlpvHe8umFoYWFBe/fu5emydOlS6tGjBxHJb09F023bto2LT0lJIQCUlpZGRHV/Qw4cOEA6Ojq8viOlrn4jhRmGjNpghiHjQ4ftMWS8/3x3T/41cjdfdn4m0Gd+5f+V1Sr/7TO/Unbs73xZn2s183tFiKjWeDU1NQgEAvTp0wdRUVEoKChAamoqZsyYgZKSEly/fh3R0dHo0qULtLS0AABXrlzBkiVLIBKJuGvKlCnIy8tDUVERl3f79u25/wuFQujo6ODhw4dc2JEjRzBo0KB66wsAjo6OiIqKAhEhJiYGQ4cOhY2NDc6dO4fo6GiYmJjAysqK0zcsLIynr6urKyQSCbKzs2XqKxAIYGRkxNNXyt27d+Hm5oYRI0ZgypQpXHjV/KdNm1Yj3c6dO6GnpyfT42Tfvn2RnJyM5ORkXLhwAa6urvj0009x69YtAMCnn37K5V3VcY0sqtbD2NgYALh6zJkzB5MnT4aLiwu+//57ZGVl1ZqXFHt7e4XkqpKcnAxnZ+d6p3sTyNJ33759cHBwgJGREUQiERYtWlTDqZGZmRm0tbW5e2NjY67t7Ozs4OzsDFtbW4wYMQJbt27FkydP5Opw48YNeHh4oGXLltDR0eGc4tTHkVJWVhbKysrg4ODAhamqqqJr165IS0vjydb23KtDRBAIBHWWn5aWxisbABwcHHDjxg1UVFTILLtp06YAAFtb2xphVfVRUVFBly5duPvWrVtDT0+vRr0A4MWLF8jKysKkSZN479myZctq7cP1SVdb+9X1DenXrx/EYjFatmyJcePGYc+ePdy3sL79hsFgMD5GVBpaAQbjtVETKi4b/xNwdhXQdyHguOBfxzPKapX3r5qvHCwtLSEQCJCWloYhQ4bUiE9LS0Pjxo05JxdOTk7YsmULYmJi0LFjR+jo6HDGYnR0NBwdHbm0hYWFCAwMxNChQ2vkq6Ghwf1fVVWVFycQCCCRSABUOgQ5ceIE57xFqousQaFUXxUVFZibm3P67tixA1euXIGqqipat24NJycnREVF4cmTJzX0/fLLL+Ht7V0j3xYtWiikr5R79+6hb9++6NmzJ7Zs2cKLq+oNUUdHhxdHRNixYwfGjRvHGbdVEQqFsLS05O63bdsGXV1dbN26FcuWLcO2bdtQXFwsU8/qVI2XDv6l9QgICMDo0aNx7NgxHD9+HP7+/ggPD5fZR6rrVxUlJSWuXlLKysp4MpqamrXm+Taprm98fDzGjBmDwMBAuLq6QldXF+Hh4TWcrNTWB5SVlREREYG4uDicOnUKGzZswMKFC5GQkMD1y6oMHDgQYrEYW7duhYmJCSQSCdq1a/fWnOHU9tyrY21tjadPnyIvL48zgt502fXRpy6kXou3bt2Kbt268eJqc9pSn3S16VvXN0RNTQ2XLl1CVFQUTp06BT8/PwQEBCAxMRF6enr16jcMBoPxMcJmDBkfD1IjUGoUApX/9l0o21vpG8DQ0BD9+vXDxo0bOYNCyv3797Fnzx54eXlxYY6OjkhNTcVvv/0GJycnAJXG1+nTpxEbG8uFAUCnTp2Qnp4OS0vLGpfUYKiLqKgo6Ovrw87ODkCloTFy5Ejs3bsX9+/f58kWFxdj48aNGDJkCHR1dQEAvXv3xvPnzxEcHMwZgVLDMCoqqoa+qampMvWVZaTJ4+7du3ByckLnzp0RGhpao65V823SpAkvLjo6GpmZmZg0aZJCZQkEAigpKXHPrlmzZlzeYrFYYZ1lYW1tja+//hqnTp3C0KFDERoaCqByNrbqLFBtNG7cGAA4r6AAahwT0L59e0RGRsrNoz7lvS5xcXEQi8VYuHAh7O3tYWVlxc3G1geBQAAHBwcEBgbi8uXLUFNTw6FDh2rIPXr0COnp6Vi0aBGcnZ1hY2NTY5ZI2vdqawMLCwuoqakhNjaWCysrK0NiYiLatGlTb/2lDB8+HGpqaggKkv3tkZ4XaWNjwysbAGJjY2Ftbf3aXjTLy8uRlJTE3aenp6OgoAA2NjY1ZJs2bQoTExPcvHmzxjssNa5ktaci6RRBkW+IiooKXFxcEBQUhKtXryInJwd///03AMX7DYPBYHyssBlDxseDpIJvFEqR3kvezuD4xx9/RM+ePeHq6oply5bB3NwcKSkpmD9/PqytreHn58fJtm/fHvr6+ti7dy+OHj0KoNLQmjdvHjeokeLn54cBAwagRYsWGD58OJSUlHDlyhX873//w7JlyxTS7Y8//qixjHT58uWIjIxEv379EBQUhHbt2iE7OxuLFi2CkpISQkJCOFl9fX20b98ee/bswY8//ggA6NOnD0aOHImysjLejKGvry+6d++OmTNnYvLkyRAKhUhNTUVERASXti6kRqFYLMbq1auRn5/PxRkZGdWZfvv27ejWrRvatWsnM76kpIQziJ88eYIff/wRhYWFGDhwoEL6KUJxcTHmz5+P4cOHw9zcHHfu3EFiYiKGDRsGoHIZZWFhISIjI2FnZwctLS1u+XB1LC0tYWpqioCAACxfvhwZGRk1Zt++/fZb2NraYsaMGZg2bRrU1NRw5swZjBgxAo0aNYKZmRkSEhKQk5MDkUgEAwMDhX9YqC9WVlbIzc1FeHg4unTpgmPHjtV7YJ6QkIDIyEj0798fTZo0QUJCAvLz82UaMvr6+jA0NMSWLVtgbGyM3NxcfPPNNzyZJk2aQFNTEydOnEDz5s2hoaHB/fAhRSgUYvr06Zg/fz4MDAzQokULBAUFoaioSOEfGWRhamqK4OBgzJw5E8+ePcP48eNhZmaGO3fuYNeuXRCJRFizZg3mzp2LLl26YOnSpRg1ahTi4+Px448/YuPGja9cthRVVVXMmjUL69evh4qKCmbOnInu3buja9euMuUDAwPh7e0NXV1duLm5oaSkBElJSXjy5AnmzJkjtz3rSqcIdX1Djh49ips3b6JPnz7Q19fHX3/9BYlEglatWtWr3zAYDMZHS0NucGQwFOV93/CdnZ1Nnp6e1LRpUxIIBASAhg4dyjmSqcrgwYNJRUWF85ZXUVFB+vr61L179xqyJ06coJ49e5Kmpibp6OhQ165deY5YIMPxja6uLufN0NTUlPNyWpX8/HyaNWsWmZqakrKyMgGgnj178ryZSpk9ezbPQQQRkZ2dHec0pyoXLlygfv36kUgkIqFQSO3bt6fly5dz8bIcP9jZ2XFHNkidZci66qKgoIA0NTXlOqqpfnSDtrY2denShX7//fda85XnfEaeQ5iSkhL64osvyNTUlNTU1MjExIRmzpzJ69vTpk0jQ0PDGsdVyHKKce7cObK1tSUNDQ3q3bs3/fbbbzWOnYiKiqKePXuSuro66enpkaurK6dfeno6de/enTQ1Nd/4cRWy5OfPn0+GhoYkEolo1KhRFBwczHO2I+t4hODgYBKLxURElJqaSq6urtyxEdbW1rRhwwZOtrrzmYiICLKxsSF1dXVq3749RUVF1dB169atZGpqSkpKSnKPqyguLqZZs2ZRo0aNaj2uoq6jQ2QRERFBrq6upK+vTxoaGtS6dWuaN28ez1up9LgKVVVVatGiBef0SYqs9q5ez+p9Vero6MCBA9SyZUtSV1cnFxcXunXrFpdG1vPYs2cPdejQgdTU1EhfX5/69OlDBw8erLU960ony2nNkydPCACdOXOGC6vtGxITE0OOjo6kr6/PHXchdTJVV7+prR0ZDCnv+1iEwagLAVEdXiYYjP8AL1++RHZ2NszNzXn7595X/P39sXbtWkRERKB79+4NosOlS5fwySefID8/v879ctu3b8eMGTOwb98+mU5bGB8+ZmZm8PHxgY+PT0OrwnhDhIWFwcfHh1uyymD9nFE7H9pYhMGoDttjyGA0AIGBgVi/fj3Onz//yo4gXpfy8nJs2LChTqMQACZNmoTw8HCkpaXV2CvJ+Hjw9fWFSCTC06dPG1oVBuONsmLFCohEonp5q2UwGIwPDTZjyHgvYL/SMRgNy61btziPpy1btnxr+xAZ7w42Y/gvjx8/xuPHjwFUOnWqvs+UwQDYWITx4cMMQ8Z7AfsYMxgMBoPBaEjYWITxocN+8mUwGAwGg8FgMBiMjxxmGDIYDAaDwWAwGAzGRw4zDBkMBoPBYDAYDAbjI4cZhgwGg8FgMBgMBoPxkcMMQwaDwWAwGAwGg8H4yGGGIYPBYDAYDAaDwWB85DDDkMFoQLy8vODu7t6gOkRFRUEgENR6lllAQAA6dOjwznT6L9GQdf8v9I/3iY+tL+fk5EAgECA5OfmdlGdmZgaBQFBnGzc0b+q9Ye9fzfclICCA6wPr1q1rML0YDMbbgRmGjI+KZ5G5uPNNDJ5F5sq8Z8hm3rx5iIyMbGg1Xpni4mIIhUJkZmYiLCwMAoEANjY2NeR+++03CAQCmJmZcWH1qXtDGB3SQVr1a9WqVTJlVFRU0KJFC8yZMwclJSWvXf5PP/0EMzMzaGhooFu3brhw4UKt8gcPHoS9vT309PQgFArRoUMH7N69W6GyLl++jBEjRqBp06bQ0NCAlZUVpkyZgoyMDIX1fZ/6cmZmJiZMmIDmzZtDXV0d5ubm8PDwQFJS0hstx8nJCT4+PgrJLlmyBHl5edDV1YWXl5fc/lf9PfovI8/ADgkJQVhY2FsvPzo6Gp988gkMDAygpaUFKysreHp6orS09K2XXV/mzZuHvLw8NG/evKFVYTAYbwFmGDI+Gp5F5uJZxK3K/0fcQv62a7x7ZhzKRyQSwdDQsKHVeGUiIiIgFothaWkJABAKhXj48CHi4+N5ctu3b0eLFi14YW+j7mVlZW8sr7y8PN61Y8cOCAQCDBs2jCcXGhqKvLw8ZGdnY+PGjdi9ezeWLVv2WmXv27cPc+bMgb+/Py5dugQ7Ozu4urri4cOHctMYGBhg4cKFiI+Px9WrVzFhwgRMmDABJ0+erLWso0ePonv37igpKcGePXuQlpaGX375Bbq6uli8eLHCOr8vfTkpKQmdO3dGRkYGNm/ejNTUVBw6dAitW7fG3LlzG0wvbW1tGBkZQSAQICQkhNf3gH/7WV5eHhITE3lp/4uGTm3o6upCT0/vrZaRmpoKNzc32Nvb4+zZs7h27Ro2bNgANTU1VFRUvNWyXwWRSAQjIyMoKys3tCoMBuMtwAxDxnsLEUFSWqHwJTUCpZRkFvDun0XcUigfIqqXnr///jtsbW2hqakJQ0NDuLi44MWLFzyZ1atXw9jYGIaGhvjqq694hkNJSQnmzZuHZs2aQSgUolu3boiKiuLiw8LCoKenh5MnT8LGxgYikQhubm7cQA2QPatU/df8ixcvwt7eHlpaWujZsyfS09O5uLpmwo4ePQo9PT1uIJOcnAyBQIBvvvmGk5k8eTLGjh0LAHj06BE8PDzQrFkzaGlpwdbWFr/++isvTycnJ3h7e2PBggUwMDCAkZERAgICeDLXr19Hr169oKGhgTZt2uD06dMQCAQ4fPgwT+7IkSMYNGgQd6+iooLRo0djx44dXNidO3cQFRWF0aNH89JWr3tUVBS6du0KoVAIPT09ODg44NatWwgLC0NgYCCuXLnCtbF0tkEgEODnn3/GoEGDIBQKsXz5clRUVGDSpEkwNzeHpqYmWrVqhZCQELltLA8jIyPedeTIEfTt2xctW7bkyenp6cHIyAimpqYYMGAABg8ejEuXLsnNd/To0Rg1ahQvrKysDI0aNcKuXbsAAGvXrsWUKVMwYcIEtGnTBps2bYKWlhavXavj5OSEIUOGwMbGBhYWFpg9ezbat2+Pc+fOyU1TVFSECRMm4LPPPsMff/wBFxcXmJubo1u3bli9ejU2b97Mk69PX5YuF3ydd/DWrVsYOHAg9PX1IRQK0bZtW/z1119c/P/+9z98+umnEIlEaNq0KcaNG4d//vlHbn2JCF5eXrCyskJMTAw+//xzWFhYoEOHDvD398eRI0d48jdv3kTfvn2hpaUFOzs73g8edb1rXl5eiI6ORkhICNdvc3Jy5OpWFV1dXV7fA/7tZ0ZGRujSpQuWLl2K8ePHQ0dHB1OnTgUA+Pr6wtraGlpaWmjZsiUWL17Ma2/pM9q9ezfMzMygq6uLL774As+fP+dkFPmuSjlx4gR69eoFPT09GBoaYsCAAcjKyuLizc3NAQAdO3aEQCCAk5MT1zZVl5KWlJTA29sbTZo0gYaGBnr16sUzfqVLmSMjI+X2v+qcOnUKRkZGCAoKQrt27WBhYQE3Nzds3boVmpqaAP79xh8+fBhWVlbQ0NCAq6srbt++zcvryJEj6NSpEzQ0NNCyZUsEBgaivLyciy8oKMDkyZPRuHFj6Ojo4JNPPsGVK1d4eXz//fdo2rQptLW1MWnSJLx8+VKu7gwG48ODGYaM9xYqk+CeX5zClyIokg+VSRTWMS8vDx4eHpg4cSLS0tIQFRWFoUOH8ozLM2fOICsrC2fOnMHOnTsRFhbGW740c+ZMxMfHIzw8HFevXsWIESPg5uaGGzducDJFRUVYvXo1du/ejbNnzyI3Nxfz5s3j6SG9MjMzYWlpiT59+vB0XbhwIdasWYOkpCSoqKhg4sSJCtezd+/eeP78OS5fvgygcmlUo0aNeIPn6OhobsD18uVLdO7cGceOHcP//vc/TJ06FePGjauxDHHnzp0QCoVISEhAUFAQlixZgoiICABARUUF3N3doaWlhYSEBGzZsgULFy6soZtEIsHRo0cxePBgXvjEiROxf/9+FBUVAagcfLm5uaFp06Zy61leXg53d3c4Ojri6tWriI+Px9SpUyEQCDBq1CjMnTsXbdu25dq6qmEVEBCAIUOG4Nq1a5g4cSIkEgmaN2+O3377DampqfDz88N3332H/fv3K9zu1Xnw4AGOHTuGSZMm1SqXkZGBv//+G926dZMrM2bMGPz5558oLCzkwk6ePImioiIMGTIEpaWluHjxIlxcXLh4JSUluLi41JiJlQcRITIyEunp6TX6Y1VOnjyJf/75BwsWLJAZX31Wp759+XXfwa+++golJSXcjM8PP/wAkUgEoHIw/sknn6Bjx45ISkrCiRMn8ODBA4wcOVKuPsnJyUhJScHcuXOhpFTzz7Ss+s6bNw/JycmwtraGh4cHZxDU9a6FhISgR48emDJlCtdvTU1Na22v+rB69WrY2dnh8uXL3MyutrY2wsLCkJqaipCQEGzduhXBwcG8dFlZWTh8+DCOHj2Ko0ePIjo6Gt9//z0Axb6rVXnx4gXmzJmDpKQkREZGQklJCUOGDIFEUvktl7bF6dOnkZeXh4MHD8rMZ8GCBThw4AB27tyJS5cuwdLSEq6urnj8+DFPrj79z8jICHl5eTh79myt7VhUVITly5dj165diI2NRUFBAb744gsuPiYmBuPHj8fs2bORmpqKzZs3IywsDMuXL+dkRowYgYcPH+L48eO4ePEiOnXqBGdnZ07//fv3IyAgACtWrEBSUhKMjY2xcePGWvViMBgfGMRgvAcUFxdTamoqFRcXc2EVJeV02/fsO78qSsoV1vvixYsEgHJycmTGe3p6klgspvLyf/McMWIEjRo1ioiIbt26RcrKynT37l1eOmdnZ/r222+JiCg0NJQAUGZmJhf/008/UdOmTWuUJ5FIaMiQIdS5c2cqKioiIqIzZ84QADp9+jQnd+zYMQLAtbe/vz/Z2dnVWtdOnTrRqlWriIjI3d2dli9fTmpqavT8+XO6c+cOAaCMjAy56T///HOaO3cud+/o6Ei9evXiyXTp0oV8fX2JiOj48eOkoqJCeXl5XHxERAQBoEOHDnFhsbGx1KRJE6qoqODaS1dXl4iIOnToQDt37iSJREIWFhZ05MgRCg4OJrFYzKWvWvdHjx4RAIqKipJZB3ntBIB8fHzk1l3KV199RcOGDePuPT09afDgwXWmk/LDDz+Qvr4+7z2Rlq+hoUFCoZDU1dUJAA0YMIBKS0vl5lVWVkaNGjWiXbt2cWEeHh5c37x79y4BoLi4OF66+fPnU9euXWvVs6CggIRCIamoqJC6ujpt3769znoBoMePH9cq9yp9+U28g7a2thQQECBTp6VLl1L//v15Ybdv3yYAlJ6eLjPNvn37CABdunSp1vpmZ2cTANq2bRsXlpKSQgAoLS1NbjpZ79rs2bNrLYuISCwWU3BwsNz46u+eWCwmd3f3OvNdtWoVde7cmbv39/cnLS0tevbsGRc2f/586tatGxEp9l2t7b3Jz88nAHTt2jUi+rcdL1++LDefwsJCUlVVpT179nDxpaWlZGJiQkFBQUSkWP+rTnl5OXl5eREAMjIyInd3d9qwYQM9ffqUk5F+48+fP8+FpaWlEQBKSEggosr+uGLFCl7eu3fvJmNjYyIiiomJIR0dHXr58iVPxsLCgjZv3kxERD169KAZM2bw4rt16ybzm1ZXX/hQkTUWYTA+JFTekf3JYLxxBKpKMFnSU2H551G38fzv23LjtT8xhbZT3b+UC1QVn2i3s7ODs7MzbG1t4erqiv79+2P48OHQ19fnZNq2bcvbr2FsbIxr164BAK5du4aKigpYW1vz8i0pKeHtk9LS0oKFhQUvD1n7vL777jvEx8cjKSmJW6YkpX379rz0APDw4cMae+5iYmLw6aefcvebN2/GmDFj4OjoiKioKMydOxcxMTFYuXIl9u/fj3PnzuHx48cwMTGBlZUVgMrZvhUrVmD//v24e/cuSktLUVJSAi0tLbk6Va9Xeno6TE1NuSVsANC1a9cadT5y5AgGDBggc+Zl4sSJCA0NRYsWLfDixQt89tln+PHHH2vISTEwMICXlxdcXV3Rr18/uLi4YOTIkVx71Ya9vX2NsJ9++gk7duxAbm4uiouLUVpaKnfJ7p49e/Dll19y98ePH0fv3r15Mjt27MCYMWOgoaFRI31wcDBcXFxQUVGBzMxMzJkzB+PGjUN4eDhyc3PRpk0bTva7777Dd999h5EjR2LPnj0YN24cXrx4gSNHjiA8PLzOutaFtrY2kpOTUVhYiMjISMyZMwctW7aEk5MTVqxYgRUrVnCyqamp9V6+rWhflvK676C3tzemT5+OU6dOwcXFBcOGDeN0uHLlCs6cOcPNIFYlKysLiYmJNZ7rm6pv69atFX7X3hay+v2+ffuwfv16ZGVlobCwEOXl5dDR0eHJmJmZQVtbm7uv+u4r8l2tyo0bN+Dn54eEhAT8888/3Exhbm4u2rVrp1A9srKyUFZWBgcHBy5MVVUVXbt2RVpaGk+2Pv1PWVkZoaGhWLZsGf7++28kJCRgxYoV+OGHH3DhwgUuvYqKCrp06cKla926NfT09JCWloauXbviypUriI2N5c0QVlRU4OXLlygqKsKVK1dQWFhYY39tcXExt6w2LS0N06ZN48X36NEDZ86cUaiNGAzG+w8zDBnvLQKBAAI1xTfA12YUSuN1+5u9plZ8lJWVERERgbi4OJw6dQobNmzAwoULkZCQwO1rUVVV5aURCATcwKWwsBDKysq4ePFijc3+VQeasvKoPrj85ZdfEBwcjKioKDRr1qyGrlXzEAgEAMDpURV7e3ue9z7p0ksnJyfs2LEDV65cgaqqKlq3bg0nJydERUXhyZMncHR05NKsWrUKISEhWLduHWxtbSEUCuHj41PDOUVtbaMof/zxB7cErTpjxozBggULEBAQgHHjxkFFpe5PYmhoKLy9vXHixAns27cPixYtQkREBLp3715rOqFQyLsPDw/HvHnzsGbNGvTo0QPa2tpYtWoVEhISZKYfNGgQb+ln9WcYExOD9PR07Nu3T2Z6IyMjzvlOq1at8Pz5c3h4eGDZsmUwMzPjPVMDAwMA4Az+hw8fIiIiApqamnBzcwMANGrUCMrKynjw4AGvnAcPHvCMdVkoKSlxunTo0AFpaWlYuXIlnJycMG3aNN4ySxMTE84ou379Onr06FFr3oDifVmWvDRNfd7ByZMnw9XVFceOHcOpU6ewcuVKrFmzBrNmzUJhYSEGDhyIH374oUa5xsbGkEgkNZ7r9evXufp27Njxteqr6Lv2tqje7+Pj4zFmzBgEBgbC1dUVurq6CA8Px5o1a3hytT0TRb6rVRk4cCDEYjG2bt0KExMTSCQStGvX7q21QX37H1D53MeNG4dx48Zh6dKlsLa2xqZNmxAYGKhQmYWFhQgMDMTQoUNrxGloaKCwsBDGxsa85f1S3raDHQaD8f7ADEPGR4NOPzHPAY26pR7PAY1OP/FbKVcgEMDBwQEODg7w8/ODWCzGoUOHMGfOnDrTduzYERUVFXj48GGN2aH6EB8fj8mTJ2Pz5s11GjB1oampyQ3qqyLdZxgcHMwZgU5OTvj+++/x5MkTnifF2NhYDB48mHNGI5FIkJGRwZu1qotWrVrh9u3bePDgAWecVveCeOPGDdy6dQv9+vWTmYeBgQEGDRqE/fv3Y9OmTQqX3bFjR3Ts2BHffvstevTogb1796J79+718iQYGxuLnj17YsaMGVxYVYcY1dHW1ubNoFRn+/bt6Ny5M+zs7BQqX2rkFBcXQ0VFReYz7dmzJ0xNTbFv3z4cP34cI0aM4Aa9ampq6Ny5MyIjIzkHHRKJBJGRkZg5c6ZCOkiRSCTc0RkGBgacYSqlf//+aNSoEYKCgnDo0KEa6QsKCt7a4FbRd9DU1BTTpk3DtGnT8O2332Lr1q2YNWsWOnXqhAMHDsDMzEzuDw/Vn2uHDh3Qpk0brFmzBqNGjaox212f+iryrr1LD5hxcXEQi8W8/cC3bt2qJYVsFP2uPnr0COnp6di6dSv3/Ko7OlJTUwOAWtvAwsICampqiI2NhVhc+beirKwMiYmJCh/1oSj6+vowNjbmOdMpLy9HUlIStyoiPT0dBQUF3LE7nTp1Qnp6usz3WBp///59qKioyD1GxMbGBgkJCRg/fjwXdv78+TdUKwaD8T7AnM8wPhp0nFtwxp9OPzEaT7bl3es4y15m9jpIlwUlJSUhNzcXBw8eRH5+vswz9GRhbW2NMWPGYPz48Th48CCys7Nx4cIFrFy5EseOHVMoj/v372PIkCH44osv4Orqivv37+P+/fvIz89/narVQF9fH+3bt8eePXs4JzN9+vTBpUuXkJGRwZsxtLKy4n7xT0tLw5dffllj5qku+vXrBwsLC3h6euLq1auIjY3FokWLAPz7K/2RI0fg4uJS67K5sLAw/PPPP2jdunWdZWZnZ+Pbb79FfHw8bt26hVOnTuHGjRvc8zQzM0N2djaSk5Pxzz//1HpOoJWVFZKSknDy5ElkZGRg8eLFNQxbRXn27Bl+++03TJ48Wa5MQUEB7t+/j3v37iE6OhpLliyBtbV1nX1x9OjR2LRpEyIiIjBmzBhe3Jw5c7B161bs3LkTaWlpmD59Ol68eIEJEyZwMuPHj8e3337L3a9cuRIRERG4efMm0tLSsGbNGuzevZszXGQhFAqxbds2HDt2DIMGDcLp06eRk5ODpKQkLFiwoMbytzeJIu+gj48PTp48iezsbFy6dAlnzpzh2vWrr77C48eP4eHhgcTERGRlZeHkyZOYMGGCXENEIBAgNDQUGRkZ6N27N/766y/cvHkTV69exfLly2s4UqoNRd41MzMzJCQkICcnh7fU8m1gZWWF3NxchIeHIysrC+vXr5dp7NdGfb6r+vr6MDQ0xJYtW5CZmYm///67hvHYpEkTaGpqco6Bnj59WiMfoVCI6dOnY/78+Thx4gRSU1MxZcoUFBUV1ensqTY2b97MLUPOyspCSkoKfH19kZKSgoEDB3JyqqqqmDVrFhISEnDx4kV4eXmhe/funKHo5+eHXbt2ITAwECkpKUhLS0N4eDj3TXRxcUGPHj3g7u6OU6dOIScnB3FxcVi4cCF3Lubs2bOxY8cOru/5+/sjJSXllevGYDDeP5hhyPio0HFugebf9+aMwOr3b7w8HR2cPXsWn332GaytrbFo0SKsWbOGt0evLkJDQzF+/HjMnTsXrVq1gru7OxITE+Xul6rO9evX8eDBA+zcuRPGxsbcVXW/ypvC0dERFRUVnGFoYGCANm3awMjICK1ateLkFi1ahE6dOsHV1RVOTk4wMjLiuYVXBGVlZRw+fBiFhYXo0qULJk+ezM1CSPfYVT+mQhZSd/eKoKWlhevXr2PYsGGwtrbG1KlT8dVXX3F7xIYNGwY3Nzf07dsXjRs3rnEER1W+/PJLDB06FKNGjUK3bt3w6NEj3uxhfQgPDwcRwcPDQ67MhAkTYGxsjObNm8PDwwNt27bF8ePH61w+O2bMGKSmpqJZs2a8/VUAMGrUKKxevRp+fn7o0KEDkpOTceLECZ5n19zcXN7RKS9evMCMGTPQtm1bODg44MCBA/jll19qNWoBYPDgwYiLi4OqqipGjx6N1q1bw8PDA0+fPn3t8xjroq53sKKiAl999RVsbGzg5uYGa2trzpujiYkJYmNjUVFRgf79+8PW1hY+Pj7Q09OTue9VSteuXZGUlARLS0tMmTIFNjY2GDRoEFJSUrBu3TqFdVfkXZs3bx6UlZXRpk0bNG7cGLm5b+9M10GDBuHrr7/GzJkz0aFDB8TFxdXrHEqgft9VJSUlhIeH4+LFi2jXrh2+/vprrFq1iiejoqKC9evXY/PmzTAxMZFreH///fcYNmwYxo0bh06dOiEzMxMnT56Uu7dREbp27YrCwkJMmzYNbdu2haOjI86fP4/Dhw/zfkzT0tKCr68vRo8eDQcHB4hEIt6ycVdXVxw9ehSnTp1Cly5d0L17dwQHB3OzmwKBAH/99Rf69OmDCRMmwNraGl988QVu3brFva+jRo3C4sWLsWDBAnTu3Bm3bt3C9OnTX7luDAbj/UNA9d3lzmA0AC9fvkR2djbMzc1lOtZgMIDKZXO9evVCZmYmdHV1YWxsjDt37tR6BAWDwVAMMzMz+Pj4vPGlk4zaCQsLg4+PDwoKChpaFY6PtS+wsQjjQ4fNGDIYjPeWQ4cOISIiAjk5OTh9+jSmTp0KBwcHWFhY4PHjx1i7di0zChmMN4ivry9EIpHM5ZaMD58VK1ZAJBK91VllBoPRcDDnMwwG473l+fPn8PX1RW5uLho1agQXFxfOu6G1tXWNIwYYDMarEx0djbKyMgA1HeYwPg6qeg1u3LhxA2vDYDDeNGwpKeO9gC3fYDAYDAaD0ZCwsQjjQ4ctJWUwGAwGg8FgMBiMjxxmGDIYDAaDwWAwGAzGRw4zDBkMBoPBYDAYDAbjI4cZhgwGg8FgMBgMBoPxkcMMQwaDwWAwGAwGg8H4yGGGIYPBYDAYDAaDwWB85DDDkMFoQLy8vODu7t6gOkRFRUEgEKCgoECuTEBAADp06PDOdPov0ZB1/y/0j/eJj60v5+TkQCAQIDk5+Z2UZ2ZmBoFAUGcbNzRv6r1h718lH9I7UxsBAQFc/163bl1Dq8NgNAjMMGR8VDyLzMWdb2LwLDJX5j1DNvPmzUNkZGRDq/HKFBcXQygUIjMzE2FhYRAIBLCxsakh99tvv0EgEMDMzIwLq0/dG2IAJR3IVL9WrVolU0ZFRQUtWrTAnDlzUFJS8trl//TTTzAzM4OGhga6deuGCxcu1Cp/8OBB2NvbQ09PD0KhEB06dMDu3bsVKuvy5csYMWIEmjZtCg0NDVhZWWHKlCnIyMhQWN/3qS9nZmZiwoQJaN68OdTV1WFubg4PDw8kJSW90XKcnJzg4+OjkOySJUuQl5cHXV1deHl5ye1/1d+j/zLyDOyQkBCEhYW9Ex3OnDmDzz77DIaGhtDS0kKbNm0wd+5c3L17952U/yZ51z9YvCnmzZuHvLw8NG/evKFVYTAaDGYYMj4ankXm4lnErcr/R9xC/rZrvHtmHMpHJBLB0NCwodV4ZSIiIiAWi2FpaQkAEAqFePjwIeLj43ly27dvR4sWLXhhb6PuZWVlbyyvvLw83rVjxw4IBAIMGzaMJxcaGoq8vDxkZ2dj48aN2L17N5YtW/ZaZe/btw9z5syBv78/Ll26BDs7O7i6uuLhw4dy0xgYGGDhwoWIj4/H1atXMWHCBEyYMAEnT56stayjR4+ie/fuKCkpwZ49e5CWloZffvkFurq6WLx4scI6vy99OSkpCZ07d0ZGRgY2b96M1NRUHDp0CK1bt8bcuXMbTC9tbW0YGRlBIBAgJCSE1/eAf/tZXl4eEhMTeWlLS0sbQuVXRldXF3p6em+9nM2bN8PFxQVGRkY4cOAAUlNTsWnTJjx9+hRr1qx56+UzKhGJRDAyMoKysnJDq8JgNBjMMGS890hKK+ReVCbh5KRGoJSSzALeffV4Wfm9Cr///jtsbW2hqakJQ0NDuLi44MWLFzyZ1atXw9jYGIaGhvjqq694hkNJSQnmzZuHZs2aQSgUolu3boiKiuLiw8LCoKenh5MnT8LGxgYikQhubm7cQA2QPatU/df8ixcvwt7eHlpaWujZsyfS09O5uLpmwo4ePQo9PT1UVFS2UXJyMgQCAb755htOZvLkyRg7diwA4NGjR/Dw8ECzZs2gpaUFW1tb/Prrr7w8nZyc4O3tjQULFsDAwABGRkYICAjgyVy/fh29evWChoYG2rRpg9OnT0MgEODw4cM8uSNHjmDQoEHcvYqKCkaPHo0dO3ZwYXfu3EFUVBRGjx7NS1u97lFRUejatSuEQiH09PTg4OCAW7duISwsDIGBgbhy5QrXxtLZBoFAgJ9//hmDBg2CUCjE8uXLUVFRgUmTJsHc3Byamppo1aoVQkJC5LaxPIyMjHjXkSNH0LdvX7Rs2ZInp6enByMjI5iammLAgAEYPHgwLl26JDff0aNHY9SoUbywsrIyNGrUCLt27QIArF27FlOmTMGECRPQpk0bbNq0CVpaWrx2rY6TkxOGDBkCGxsbWFhYYPbs2Wjfvj3OnTsnN01RUREmTJiAzz77DH/88QdcXFxgbm6Obt26YfXq1di8eTNPvj59Wbpc8HXewVu3bmHgwIHQ19eHUChE27Zt8ddff3Hx//vf//Dpp59CJBKhadOmGDduHP755x+59SUieHl5wcrKCjExMfj8889hYWGBDh06wN/fH0eOHOHJ37x5E3379oWWlhbs7Ox4P3jU9a55eXkhOjoaISEhXL/NycmRq1tVdHV1eX0P+LefGRkZoUuXLli6dCnGjx8PHR0dTJ06FQDg6+sLa2traGlpoWXLlli8eDGvvaXPaPfu3TAzM4Ouri6++OILPH/+nJNR5Lsq5cSJE+jVqxf09PRgaGiIAQMGICsri4s3NzcHAHTs2BECgQBOTk5c21RdSlpSUgJvb280adIEGhoa6NWrF8/4lS5ljoyMlNv/qnPnzh14e3vD29sbO3bsgJOTE8zMzNCnTx9s27YNfn5+nOyBAwfQtm1bqKurw8zMrIbRaGZmhmXLlmH8+PEQiUQQi8X4448/kJ+fj8GDB0MkEqF9+/a8GWfp34/Dhw/DysoKGhoacHV1xe3bt+XqDADbtm2DjY0NNDQ00Lp1a2zcuLHO9qwrnXSm8eDBg3L7MwCcO3cOvXv3hqamJkxNTeHt7c179hs3buTq0rRpUwwfPpyLq0+/YTA+RphhyHjvuecXJ/d69EsqJ6fTT1xrPsp66rz7+z9cqJFffcnLy4OHhwcmTpyItLQ0REVFYejQoSAiTubMmTPIysrCmTNnsHPnToSFhfGWL82cORPx8fEIDw/H1atXMWLECLi5ueHGjRucTFFREVavXo3du3fj7NmzyM3Nxbx583h6SK/MzExYWlqiT58+PF0XLlyINWvWICkpCSoqKpg4caLC9ezduzeeP3+Oy5cvAwCio6PRqFEj3uA5OjqaGyC8fPkSnTt3xrFjx/C///0PU6dOxbhx42osQ9y5cyeEQiESEhIQFBSEJUuWICIiAgBQUVEBd3d3aGlpISEhAVu2bMHChQtr6CaRSHD06FEMHjyYFz5x4kTs378fRUVFACoHSG5ubmjatKncepaXl8Pd3R2Ojo64evUq4uPjMXXqVAgEAowaNQpz585F27ZtubaualgFBARgyJAhuHbtGiZOnAiJRILmzZvjt99+Q2pqKvz8/PDdd99h//79Crd7dR48eIBjx45h0qRJtcplZGTg77//Rrdu3eTKjBkzBn/++ScKCwu5sJMnT6KoqAhDhgw0T+dXAADsy0lEQVRBaWkpLl68CBcXFy5eSUkJLi4uNQZy8iAiREZGIj09vUZ/rMrJkyfxzz//YMGCBTLjq8/q1Lcvv+47+NVXX6GkpARnz57FtWvX8MMPP0AkEgEACgoK8Mknn6Bjx45ISkrCiRMn8ODBA4wcOVKuPsnJyUhJScHcuXOhpFTzz7Ss+s6bNw/JycmwtraGh4cHysvLAdT9roWEhKBHjx6YMmUK129NTU1rba/6sHr1atjZ2eHy5cvczK62tjbCwsKQmpqKkJAQbN26FcHBwbx0WVlZOHz4MI4ePYqjR48iOjoa33//PQDFvqtVefHiBebMmYOkpCRERkZCSUkJQ4YMgURS+cOhtC1Onz6NvLw8HDx4UGY+CxYswIEDB7Bz505cunQJlpaWcHV1xePHj3ly9el/v/32G0pLS+vs2xcvXsTIkSPxxRdf4Nq1awgICMDixYtrLHUNDg6Gg4MDLl++jM8//xzjxo3D+PHjMXbsWFy6dAkWFhYYP348r62KioqwfPly7Nq1C7GxsSgoKMAXX3whV+c9e/bAz88Py5cvR1paGlasWIHFixdj586dtbZnXemqtp+8/pyVlQU3NzcMGzYMV69exb59+3Du3DnMnDkTQOVMu7e3N5YsWYL09HScOHGC+7bUt98wGB8lxGC8BxQXF1NqaioVFxfXiLvte1bulb/jGl/2G/myDzZd4cneXRJXQ6a+XLx4kQBQTk6OzHhPT08Si8VUXl7OhY0YMYJGjRpFRES3bt0iZWVlunv3Li+ds7Mzffvtt0REFBoaSgAoMzOTi//pp5+oadOmNcqTSCQ0ZMgQ6ty5MxUVFRER0ZkzZwgAnT59mpM7duwYAeDa29/fn+zs7Gqta6dOnWjVqlVEROTu7k7Lly8nNTU1ev78Od25c4cAUEZGhtz0n3/+Oc2dO5e7d3R0pF69evFkunTpQr6+vkREdPz4cVJRUaG8vDwuPiIiggDQoUOHuLDY2Fhq0qQJVVRUcO2lq6tLREQdOnSgnTt3kkQiIQsLCzpy5AgFBweTWCzm0let+6NHjwgARUVFyayDvHYCQD4+PnLrLuWrr76iYcOGcfeenp40ePDgOtNJ+eGHH0hfX7/GewKANDQ0SCgUkrq6OgGgAQMGUGlpqdy8ysrKqFGjRrRr1y4uzMPDg+ubd+/eJQAUFxfHSzd//nzq2rVrrXoWFBSQUCgkFRUVUldXp+3bt9dZLwD0+PHjWuVepS+/iXfQ1taWAgICZOq0dOlS6t+/Py/s9u3bBIDS09Nlptm3bx8BoEuXLtVa3+zsbAJA27Zt48JSUlIIAKWlpclNJ+tdmz17dq1lERGJxWIKDg6WG1/93ROLxeTu7l5nvqtWraLOnTtz9/7+/qSlpUXPnj3jwubPn0/dunUjIsW+q7W9N/n5+QSArl2r/PsgbcfLly/LzaewsJBUVVVpz549XHxpaSmZmJhQUFAQESnW/6ozffp00tHRkaurlNGjR1O/fv14YfPnz6c2bdpw92KxmMaOHcvd5+XlEQBavHgxFxYfH08AuO+m9O/H+fPnOZm0tDQCQAkJCURU852xsLCgvXv38nRZunQp9ejRg4jkt6ei6Wrrz5MmTaKpU6fy8oiJiSElJSUqLi6mAwcOkI6ODq/vSKmr30iprZ/XNhZhMD4E2Iwh473HZElPuZfh2Dac3LPIXKCWHwbVW+rw7o18u9bIr77Y2dnB2dkZtra2GDFiBLZu3YonT57wZNq2bcvb02BsbMzt0bp27RoqKipgbW0NkUjEXdHR0bylUFpaWrCwsJCZR1W+++47xMfH48iRI9DU1OTFtW/fnpcegMw8YmJieLrs2bMHAODo6IioqCgQEWJiYjB06FDY2Njg3LlziI6OhomJCaysrABUzvYtXboUtra2MDAwgEgkwsmTJ5Gby9/nWVWn6vVKT0+Hqakpt4QNALp27VpD3yNHjmDAgAEyZ14mTpyI0NBQREdH48WLF/jss89qyFTFwMAAXl5ecHV1xcCBA7k9Vopgb29fI+ynn35C586d0bhxY4hEImzZsqVGG0jZs2cPr91jYmJqyOzYsQNjxoyBhoZGjbjg4GAkJyfjypUrOHr0KDIyMjBu3DgAQG5uLi/vFStWQEVFBSNHjuSe74sXL3DkyBGMGTNGofrWhra2NpKTk5GYmIjly5djzpw53OzyihUreLrk5ubW+xd9RfuylNd9B729vbFs2TI4ODjA398fV69e5fK6cuUKzpw5w0vbunVrAJWzH7Ke65usr6Lv2ttCVr/ft28fHBwcYGRkBJFIhEWLFtXQx8zMDNra2tx91WeiyHe1Kjdu3ICHhwdatmwJHR0dbhl9fdogKysLZWVlcHBw4MJUVVXRtWtXpKWl8WTr0/+ICAKBoM7y09LSeGUDgIODA27cuMEt4a9etnT1g62tbY2wqvqoqKigS5cu3H3r1q2hp6dXo15A5XcgKysLkyZN4vXbZcuW8f4mvU662trvypUrCAsL4+Xh6uoKiUSC7Oxs9OvXD2KxGC1btsS4ceOwZ88eblVIffsNg/ExotLQCjAYr4uSmmIbxavvIazO88jb0O1nVu98a0NZWRkRERGIi4vDqVOnsGHDBixcuBAJCQncPgxVVVVeGoFAwC1xKiwshLKyMi5evFhjQ7x0qZq8PKoPLn/55RcEBwcjKioKzZo1q6Fr1TykAxWpHlWxt7fneZuTDjScnJywY8cOXLlyBaqqqmjdujWcnJwQFRWFJ0+ewNHRkUuzatUqhISEYN26dbC1tYVQKISPj08N5xS1tY2i/PHHH9wStOqMGTMGCxYsQEBAAMaNGwcVlbo/iaGhofD29saJEyewb98+LFq0CBEREejevXut6YRCIe8+PDwc8+bNw5o1a9CjRw9oa2tj1apVSEhIkJl+0KBBvKWf1Z9hTEwM0tPTsW/fPpnpjYyMOOc7rVq1wvPnz+Hh4YFly5bBzMyM90wNDAwAVLaPo6MjHj58iIiICGhqasLNzQ0A0KhRIygrK+PBgwe8ch48eMAz1mWhpKTE6dKhQwekpaVh5cqVcHJywrRp03jLLE1MTGBtbQ2gck9pjx49as0bULwvy5KXpqnPOzh58mS4urri2LFjOHXqFFauXIk1a9Zg1qxZKCwsxMCBA/HDDz/UKNfY2BgSiaTGc71+/TpX344dO75WfRV9194W1ft9fHw8xowZg8DAQLi6ukJXVxfh4eE19svV9kwU+a5WZeDAgRCLxdi6dStMTEwgkUjQrl27t9YG9el/1tbWePr0KfLy8jgj6E2XXd/3oTakS8u3bt1aYyl6bU5b6pOuNn0LCwvx5Zdfwtvbu0YZLVq0gJqaGi5duoSoqCicOnUKfn5+CAgIQGJiIvT09OrVbxiMjxE2Y8j4aKi+x1DdUq/W+DeFQCCAg4MDAgMDcfnyZaipqeHQoUMKpe3YsSMqKirw8OFDWFpa8q66Bt9ViY+Px+TJk7F58+Y6DZi60NTU5Okh/VVfus8wODiYMwKlhmFUVBTPAUFsbCwGDx6MsWPHws7ODi1btqzXkQNApXFz+/ZtnmFS3QvijRs3cOvWLfTr109mHgYGBhg0aBCio6PrtaeyY8eO+PbbbxEXF4d27dph7969AAA1NTXer/e1ERsbi549e2LGjBno2LEjLC0ta/3FXVtbm9fu1Wd8t2/fjs6dO8POzk6h8qWDseLiYqioqPDylhqGPXv2hKmpKfbt24c9e/ZgxIgR3KBNTU0NnTt35h39IJFIEBkZqZDxVhWJRMIdnWFgYMDTRUVFBf3790ejRo0QFBQkM/3bPFNP0XfQ1NQU06ZNw8GDBzF37lxs3boVANCpUyekpKTAzMysRnqhUCjzuXbo0AFt2rTBmjVrZA7g61NfRd61+vTb1yUuLg5isRgLFy6Evb09rKyscOtW7T/ayULR7+qjR4+Qnp6ORYsWwdnZGTY2NjVmidTU1ACg1jawsLCAmpoaYmNjubCysjIkJiaiTZs2ctPVxfDhw6GmplZn37axseGVDVQ+W2tr69f2olleXs5zSJOeno6CggKZR/o0bdoUJiYmuHnzZo3+LDWuZLWnIukUoVOnTkhNTa2Rh6WlJVeuiooKXFxcEBQUhKtXryInJwd///03gNf7e8xgfAywGUPGR4OOc+UxBM8ibkGnnxg6zi24Iyyk92+ahIQEREZGon///mjSpAkSEhKQn58v8w+uLKytrTFmzBiMHz8ea9asQceOHZGfn4/IyEi0b98en3/+eZ153L9/H0OGDMEXX3wBV1dX3L9/H0ClYdC4cePXql9V9PX10b59e+zZswc//vgjAKBPnz4YOXIkysrKeDOGVlZW+P333xEXFwd9fX2sXbsWDx48qNcAq1+/frCwsICnpyeCgoLw/PlzLFq0CMC/vzIfOXIELi4u0NLSkptPWFgYNm7cqNARBtnZ2diyZQsGDRoEExMTpKen48aNGxg/fjyAyuVv2dnZSE5ORvPmzaGtrQ11dXWZeVlZWWHXrl04efIkzM3NsXv3biQmJr7SL9fPnj3Db7/9Vqtr+4KCAty/fx8SiQQ3btzAkiVLYG1tXWdfHD16NDZt2oSMjAycOXOGFzdnzhx4enrC3t4eXbt2xbp16/DixQtMmDCBkxk/fjyaNWuGlStXAgBWrlwJe3t7WFhYoKSkBH/99Rd2796Nn3/+Wa4OQqEQ27Ztw4gRIzBo0CB4e3vD0tIS//zzD/bv34/c3FyEh4cr0lT1RpF30MfHB59++imsra3x5MkTnDlzhmvXr776Clu3boWHhwfnYTczMxPh4eHYtm2bzEG9QCBAaGgoXFxc0Lt3byxcuBCtW7dGYWEh/vzzT5w6dQrR0dEK6a/Iu2ZmZoaEhATk5ORAJBLBwMBA5tLrN4GVlRX3vLp06YJjx47Ve2Ben++qvr4+DA0NsWXLFhgbGyM3N5fnLRkAmjRpAk1NTZw4cQLNmzeHhoYGdHV1eTJCoRDTp0/H/PnzYWBggBYtWiAoKAhFRUV1OnuqDVNTUwQHB2PmzJl49uwZxo8fDzMzM9y5cwe7du2CSCTCmjVrMHfuXM7L66hRoxAfH48ff/yR59XzVVFVVcWsWbOwfv16qKioYObMmejevbvMpfkAEBgYCG9vb+jq6sLNzQ0lJSVISkrCkydPMGfOHLntWVc6RfD19UX37t0xc+ZMTJ48GUKhEKmpqYiIiMCPP/6Io0eP4ubNm+jTpw/09fXx119/QSKRoFWrVq/995jB+BhgM4aMjwod5xZo/n1vzgisfv/Gy9PRwdmzZ/HZZ5/B2toaixYtwpo1a/Dpp58qnEdoaCjGjx+PuXPnolWrVnB3d0diYmKN8/bkcf36dTx48AA7d+6EsbExd1XdU/KmcHR0REVFBTc7aGBggDZt2sDIyAitWrXi5BYtWoROnTrB1dUVTk5OMDIy4rmFVwRlZWUcPnwYhYWF6NKlCyZPnsx5JZXusat+TIUspG7LFUFLSwvXr1/HsGHDYG1tjalTp+Krr77Cl19+CQAYNmwY3Nzc0LdvXzRu3LjGERxV+fLLLzF06FCMGjUK3bp1w6NHjzBjxgyF9KhOeHg4iAgeHh5yZSZMmABjY2M0b94cHh4eaNu2LY4fP17n8tkxY8YgNTUVzZo1q7HHadSoUVi9ejX8/PzQoUMHJCcn48SJEzzPrrm5ubx9mC9evMCMGTPQtm1bODg44MCBA/jll18wefLkWvUYPHgw4uLioKqqitGjR6N169bw8PDA06dPX/s8xrqo6x2sqKjAV199BRsbG7i5ucHa2pobsJuYmCA2NhYVFRXo378/bG1t4ePjAz09vVqNr65duyIpKQmWlpaYMmUKbGxsMGjQIKSkpGDdunUK667IuzZv3jwoKyujTZs2aNy48Vvdfzho0CB8/fXXmDlzJjp06IC4uLh6nUMJ1O+7qqSkhPDwcFy8eBHt2rXD119/jVWrVvFkVFRUsH79emzevBkmJiY1PBhL+f777zFs2DCMGzcOnTp1QmZmJk6ePAl9ff166V+dGTNm4NSpU7h79y6GDBmC1q1bY/LkydDR0eG8S3fq1An79+9HeHg42rVrBz8/PyxZsgReXl6vVTZQ+V3z9fXF6NGj4eDgAJFIJHdJOlC5dHrbtm0IDQ2Fra0tHB0dERYWxv2oJa8960qnCO3bt0d0dDQyMjLQu3dvdOzYEX5+fjAxMQFQ6cX14MGD+OSTT2BjY4NNmzbh119/Rdu2bd/I32MG40NHQPXd5c5gNAAvX75EdnY2zM3NZTrWYDCAyqVVvXr1QmZmJnR1dWFsbIw7d+7UegQFg8FQDDMzM/j4+MDHx6ehVWG8IcLCwuDj4/NWl2O/b9TWz9lYhPGhw2YMGQzGe8uhQ4cQERGBnJwcnD59GlOnToWDgwMsLCzw+PFjrF27lhmFDMYbxNfXFyKRCE+fPm1oVRiMN4rUI/K78tjLYPwXYXsMGQzGe8vz58/h6+uL3NxcNGrUCC4uLtw+O2tra86bJYPBeH2io6NRVlYGALyjJBiMD4GqHpHf5P57BuN9gi0lZbwXsOUbDAaDwWAwGhI2FmF86LClpAwGg8FgMBgMBoPxkcMMQwaDwWAwGAwGg8H4yGGGIYPBYDAYDAaDwWB85DDDkMFgMBgMBoPBYDA+cphhyGAwGAwGg8FgMBgfOcwwZDAYDAaDwWAwGIyPHGYYMj5Knv3zEA9uZuLZPw8bVA8vLy+4u7s3qA5RUVEQCAQoKCiQKxMQEIAOHTq8M50aEicnJ/j4+DS0Gh8dOTk5EAgESE5OlisTFhYGPT29d6bT20YgEODw4cPvpCwnJycIBII627iheVPfmo/pmyWP6u9LWFgY1wfYN47BYMiCGYaMj45n/zzEDp8v8cu3Ptjh82WDG4fvA/PmzUNkZGRDq/HKFBcXQygUIjMz870yLgYNGoQWLVpAQ0MDxsbGGDduHO7du1drmi1btsDJyQk6Ojp1GvxVSUxMhLOzM/T09KCvrw9XV1dcuXKFi5f+gCC9NDU10bZtW2zZskWh/DMzMzFhwgQ0b94c6urqMDc3h4eHB5KSkhRKDwCjRo1CRkaGwvINyf379zFr1iy0bNkS6urqMDU1xcCBA9/4e1SfH5emTJmCvLw8tGvXDgEBAbznKet6X5BlYL+rb9aVK1cwaNAgNGnSBBoaGjAzM8OoUaPw8OF/7+/KqFGjkJeXhx49ejS0KgwG4z8KMwwZHx3Fz56hoqwMAFBRVobiZ88aWKP/PiKRCIaGhg2txisTEREBsVgMS0vLhlalXvTt2xf79+9Heno6Dhw4gKysLAwfPrzWNEVFRXBzc8N3332ncDmFhYVwc3NDixYtkJCQgHPnzkFbWxuurq4o+/93RUp6ejry8vKQmpqKL7/8EtOnT69zAJ6UlITOnTsjIyMDmzdvRmpqKg4dOoTWrVtj7ty5CuupqamJJk2aKCzfUOTk5KBz5874+++/sWrVKly7dg0nTpxA37598dVXXzWYXlpaWjAyMoKKigrmzZuHvLw87mrevDmWLFnCC6tKaWlpA2n9aryLb1Z+fj6cnZ1hYGCAkydPIi0tDaGhoTAxMcGLFy/eatmvgqamJoyMjKCmptbQqjAYjP8ozDBkvLcQEcpevlT4enz3Nu5eT8XDnJu8fB7m3MTd66l4fPe2QvkQUb30/P3332FrawtNTU0YGhrCxcWlxqBh9erVMDY2hqGhIb766iveYLykpATz5s1Ds2bNIBQK0a1bN0RFRXHx0hmwkydPwsbGBiKRCG5ubryBnazZADMzM54OFy9ehL29PbS0tNCzZ0+kp6dzcXUtyzp69Cj09PRQUVEBAEhOToZAIMA333zDyUyePBljx44FADx69AgeHh5o1qwZtLS0YGtri19//ZWXp5OTE7y9vbFgwQIYGBjAyMgIAQEBPJnr16+jV69e0NDQQJs2bXD69GmZswdHjhzBoEGD5OpfG7t374a9vT20tbVhZGSE0aNH82YDpDNpJ0+eRMeOHaGpqYlPPvkEDx8+xPHjx2FjYwMdHR2MHj0aRUVFXLoTJ/6PvTOP5yr7//jrQ1k+9jWUkBBZohSpaKiPFqVmoqaF0krJVKopk5aRphIt07SrjCY1LVqmRSaShBZaLKHQQguayP5xfn/4ueP6fGxNjenbeT4e98G9533e533uPed+7rnv9zn3IgYNGgR5eXkoKSlh9OjRyMnJYZX93XffwcrKClpaWhg4cCCWL1+OmzdvCgzWGuPj44Ply5fDysqqzXXMyMhAcXEx1q5dCwMDA/Tu3Rv+/v54+fIl8vLyWLKqqqpQU1ODjo4OvL29oaOjgzt37jSrmxACd3d36OnpIS4uDqNGjYKuri769OkDf39/REZGsuQfP36MoUOHgsvlwszMDAkJCUxaU29vQ7sMCwuDtrY25OTkMHHiRJSWljIydXV1CAwMhI6ODiQlJWFmZobff/+dSS8pKcHkyZOhoqICSUlJ6OnpITQ0lEl/+vQpXFxcIC8vD0VFRYwdOxa5ubktnk9PT09wOBwkJSXh66+/hr6+Pnr37o1Fixbh5s2bLNk3b95g3Lhx4HK50NPTw5kzZ5g0Pp8PDw8PxnYDAwNs3bqVVf9Dhw4hMjKS6deN7w0tIS0tDTU1NWYTFRVl2riamhomTpyI+fPnw8fHB8rKyuDxeACALVu2wMTEBFJSUtDU1ISnpyfKysoErlFL96OYmBj0798fUlJSkJeXh42NjUA7ayA5ORnDhg2DsrIy5OTkYGtry2pvDfexcePGse5rTe9ZdXV1WLt2LeOx7tOnDy5evMikN4Qynzx5stn215T4+Hj89ddf2LdvH8zNzaGjo4OhQ4ciODgYOjo6TF05HA7Onz8PU1NTSEhIwMrKCg8ePGDpun79OgYPHgxJSUloamrC29ub9TvR2u9Aw7nv3r07uFwuxo0bh6KiomZtp1AoFGF06mgDKJQPpbaqCtvcWvaetIXLu7e1S9770O/oLCHRJtmCggJMmjQJGzduxLhx41BaWoq4uDjW4PLq1atQV1fH1atXkZ2dDVdXV/Tp0wezZs0CAMyfPx9paWk4evQoNDQ0cOrUKTg6OuL+/fvQ09MDUO8l2rx5M8LCwiAiIoIpU6ZgyZIlCA8PZ+xo4P3793B0dBQIJ1q5ciWCgoKgoqKCuXPnYsaMGYiPj29TPQcPHozS0lLcvXsX/fr1Q2xsLJSVlVkPLrGxsVi2bBkAoLKyEn379sWyZcsgKyuL8+fPY+rUqdDV1UX//v2ZPIcOHcKiRYuQmJiIhIQEuLu7w8bGBsOGDQOfz4ezszPj5SotLRXqfaqrq8O5c+c+eC5XTU0N1q1bBwMDA7x69QqLFi2Cu7s7/vjjD5bc6tWrsWPHDnC5XLi4uMDFxQXi4uI4cuQIysrKMG7cOGzfvp05B+/fv8eiRYtgamqKsrIyrFq1CuPGjUNKSgpERATf2RUXFyM8PBwDBw5E586dP6guzWFgYAAlJSXs378fK1asAJ/Px/79+2FoaCjwAqEBQgguXbqE/Px8DBgwoFndKSkpePjwIY4cOSK0Xk3DeleuXInNmzdDT08PK1euxKRJk5CdnY1OnYT/XOXk5OD06dM4d+4cSkpK4OLigg0bNiAgIAAAEBgYiF9//RW7du2Cnp4erl27hilTpkBFRQW2trb44YcfkJaWhgsXLkBZWRnZ2dmoqKgAUH/teTwerK2tERcXh06dOuHHH3+Eo6Mj7t27J9TzUlxcjIsXLyIgIABSUlKt1nfNmjXYuHEjNm3ahO3bt2Py5MnIy8uDoqIi6urq0K1bNxw/fhxKSkq4ceMGZs+eDXV1dbi4uGDJkiVIT0/Hu3fvmMGsoqJis9eivRw6dAjz5s1j3QdERESwbds26Ojo4PHjx/D09MTSpUuxc+dORqal+1FtbS2cnZ0xa9Ys/Pbbb6iurkZSUlKzoaulpaVwc3PD9u3bQQhBUFAQRo4ciaysLMjIyCA5ORmqqqoIDQ2Fo6MjREVFherZunUrgoKCsHv3bpibm+PAgQMYM2YMHj58yNxHgfa1PzU1NdTW1uLUqVP45ptvWgy/9fX1xdatW6GmpoYVK1bAyckJjx49QufOnZGTkwNHR0f8+OOPOHDgAF6/fo358+dj/vz5zHVt7XcgMTERHh4eCAwMhLOzMy5evAh/f/+WLzCFQqE0hVAonwEVFRUkLS2NVFRUMMeqKyrIZpdR//pW3ciG1rh9+zYBQHJzc4Wmu7m5ES0tLVJbW8scmzBhAnF1dSWEEJKXl0dERUXJ8+fPWfns7e3J999/TwghJDQ0lAAg2dnZTPrPP/9MunTpIlBeXV0dGTduHOnbty8pLy8nhBBy9epVAoBcuXKFkTt//jwBwJxvf39/YmZm1mJdLSwsyKZNmwghhDg7O5OAgAAiJiZGSktLybNnzwgA8ujRo2bzjxo1iixevJjZt7W1JYMGDWLJWFpakmXLlhFCCLlw4QLp1KkTKSgoYNKjoqIIAHLq1CnmWHx8PFFVVSV8Pp85X3Jycs3aYWtrSxYuXNhsenJyMgFASktLCSHCz19gYCABQHJycphjc+bMITwer1m9r1+/JgDI/fv3WceXLl1KuFwuAUCsrKzImzdvmtXRmAa7SkpK2iR///59oqurS0RERIiIiAgxMDBgtdsGfVJSUkRKSop06tSJiIiIkB9//LFFvREREQQAuXPnTotyT548IQDIvn37mGMPHz4kAEh6ejohRPDa+fv7Ey6XS969e8cc8/X1JQMGDCCEEFJZWUm4XC65ceMGqywPDw8yadIkQgghTk5OZPr06UJtCgsLIwYGBqSuro45VlVVRSQlJcmlS5eE5klMTCQAyMmTJ1usLyGEACB+fn7MfllZGQFALly40GweLy8v8vXXXzP7bm5uZOzYsa2W1Vq71tLSIsHBwSx5c3PzVvUeP36cKCkpMfut3Y+KiooIABITEyNUX2v3Gj6fT2RkZMjZs2eZY037vDA9GhoaJCAggCVjaWlJPD09CSFta3/CWLFiBenUqRNRVFQkjo6OZOPGjaSwsJBJb+g3R48eZY4VFRURSUlJEhERQQipb4+zZ89m6Y2LiyMiIiKkoqKiTb8DkyZNIiNHjmSlu7q6Cr3XtdYWKM0j7FmEQvlfgnoMKZ8tncTF4X3o99YFAZQWvcbhZd7M3EIOhwNCCPMXAEQ7d8a0n7ZBRkml1XLbipmZGezt7WFiYgIej4fhw4fjm2++gYKCAiPTu3dv1ltudXV13L9/HwBw//598Pl86Ovrs/RWVVWx5s9wuVzo6uqydAhb/GDFihVISEjArVu3ICkpyUozNTVl5QeAV69eoXv37iy5uLg4jBgxgtnfvXs3Jk+eDFtbW8TExGDx4sWIi4tDYGAgjh07huvXr6O4uBgaGhrMm3k+n4/169fj2LFjeP78Oaqrq1FVVQUul9usTU3rlZmZCU1NTaipqTHpjb2NDURGRmL06NFCvVVt4fbt21i9ejVSU1NRUlKCuro6AEB+fj6MjIyE2tqlSxdwuVz06NGDdSwpKYnZz8rKwqpVq5CYmIg3b96w9BobGzNyvr6+8PDwQF5eHtasWYNp06bh3LlzH7w4yIgRIxAXFwcA0NLSwsOHD1FRUQEPDw/Y2Njgt99+A5/Px+bNmzFq1CgkJyez2kpcXBxkZGRQVVWFpKQkzJ8/H4qKipg3bx7Cw8MxZ84cRvbChQvtDr1urh326tVLqLy2tjZkZGRYeRraSHZ2NsrLyzFs2DBWnurqapibmwMA5s2bh6+//hp37tzB8OHD4ezsjIEDBwKoX1gkOzubpR+o93jn5OQI7QvtncfauL5SUlKQlZVl9d2ff/4ZBw4cQH5+PioqKlBdXf2vrbbZt29fgWNXrlxBYGAgMjIy8O7dO9TW1qKyshLl5eVM/23pfqSoqAh3d3fweDwMGzYMDg4OcHFxYa51U16+fAk/Pz/ExMTg1atX4PP5KC8vR35+fpvr8e7dO7x48QI2Njas4zY2NqwFloD2t7+AgAAsWrQIf/75JxITE7Fr1y6sX78e165dg4mJCSPXOEJDUVERBgYGSE9PB1Dfzu7du8dEeAD1Hvm6ujo8efIEjx8/bvV3ID09HePGjWOlW1tbs8JlKRQKpTXowJDy2cLhcNoc0qnYVRMzQnaj4t07FD9/ij92BAGo//EdOX8xFLtqQlJWFrLKH3dhC1FRUURFReHGjRu4fPkytm/fjpUrVyIxMZGZg9I0LJDD4TCDhLKyMoiKiuL27dsCIVLS0tLM/8J0NH0g//XXXxEcHIyYmBh07dpVwNbGOhoGHQ12NKZfv36s5e67dOkCoH5O4IEDB5CamorOnTujV69esLOzQ0xMDEpKSmBra8vk2bRpE7Zu3YqQkBBmvpKPj4/AAhctnZu2cubMGWzYsKFdeRp4//49eDweeDwewsPDoaKigvz8fPB4vBZt5XA4rdru5OQELS0t7N27FxoaGqirq4OxsbGAXmVlZSgrK0NfXx+GhobQ1NTEzZs3P3hlwX379jGhkg02HjlyBLm5uUhISGAG0EeOHIGCggIiIyMxceJEJr+Ojg4TDtm7d28kJiYiICAA8+bNw5gxY1hhpV27dkVGRgaA+nmMDYOxlmhrOxQm35Cncf8BgPPnzwu0efH/f8EzYsQI5OXl4Y8//kBUVBTs7e3h5eWFzZs3o6ysDH379mU9sDegoqICMTExgb5QU1MDDofD1Ls99W1q/9GjR7FkyRIEBQXB2toaMjIy2LRpExITE9uk+5/SNBQ2NzcXo0ePxrx58xAQEABFRUVcv34dHh4eqK6uZgaGrd2PQkND4e3tjYsXLyIiIgJ+fn6IiooSOi/Wzc0NRUVF2Lp1K7S0tCAuLg5ra+tPthhOe9sfACgpKWHChAmYMGEC1q9fD3Nzc2zevBmHDh1qU5llZWWYM2cOvL29BdK6d++Oe/futel3gEKhUP4pdGBI+WKQVVYVOvBT7KqJLj0+3WqVHA4HNjY2sLGxwapVq6ClpYVTp05h0aJFreY1NzcHn8/Hq1evMHjw4A+2ISEhATNnzsTu3bvbtSiJMCQlJYV6RRrmGQYHBzODQDs7O2zYsAElJSWs+X/x8fEYO3YssxhNXV0dHj16xPLAtYaBgQGePn2Kly9fMoPT5ORklkxWVhby8vIEPEZtJSMjA0VFRdiwYQM0NTUBoF2fV2iOoqIiZGZmYu/evcx1vX79eqv5Gh5Qq6qqPrhsYS8FysvLISIiwvJCNuy39lAsKirKDDRlZGQEvGt9+vSBkZERgoKC4OrqKuC5ffv27Sf7fIiRkRHExcWRn5/PejHRFBUVFbi5ucHNzQ2DBw+Gr68vNm/eDAsLC0REREBVVRWysrJC8wrrCzweDz///DO8vb0FBlftqW98fDwGDhwIT09P5ljTBYrExMSYRZ8+Nbdv30ZdXR2CgoKY63js2LEP0mVubg5zc3N8//33sLa2xpEjR4Tem+Lj47Fz506MHDkSQP1iQG/evGHJdO7cucVzICsrCw0NDcTHx7PaQXx8vNAog3+CmJgYdHV1BRYYu3nzJhN9UVJSgkePHsHQ0BAAYGFhgbS0tGa9zW35HTA0NBR4YdB0oSMKhUJpDboqKeWLQ1JWFqL//1ZYtHNnSDbzwPcxSExMxPr163Hr1i3k5+fj5MmTeP36NfNA0Br6+vqYPHkypk2bhpMnT+LJkydISkpCYGAgzp8/3yYdhYWFGDduHCZOnAgej4fCwkIUFhbi9evX/6RqAigoKMDU1BTh4eGws7MDAAwZMgR37tzBo0ePWA9kenp6jCc1PT0dc+bMwcuXL9tV3rBhw6Crqws3Nzfcu3cP8fHx8PPzA/D3m/7IyEg4ODgIhKjy+XykpKSwtoawrsZ0794dYmJi2L59Ox4/fowzZ85g3bp17bJTGAoKClBSUsKePXuQnZ2NP//8U+BFQWJiInbs2IGUlBTk5eXhzz//xKRJk6Crq8t4C58/f45evXqxQlQLCwuRkpKC7OxsAPXhyCkpKSguLm7WnmHDhqGkpAReXl5IT0/Hw4cPMX36dHTq1AlDhw5lyb569QqFhYXIy8vD8ePHERYWhrFjxzarm8PhIDQ0FI8ePcLgwYPxxx9/4PHjx7h37x4CAgJazPtPkZGRwZIlS/Ddd9/h0KFDyMnJwZ07d7B9+3bGm7Nq1SpERkYiOzsbDx8+xLlz55j+OXnyZCgrK2Ps2LGIi4vDkydPEBMTA29vbzx79qzZcn/++Wfw+Xz0798fJ06cQFZWFtLT07Ft27Z2eXr19PRw69YtXLp0CY8ePcIPP/wg8PJDW1sb9+7dQ2ZmJt68edPiirX/lJ49e6KmpobpD2FhYdi1a1e7dDx58gTff/89EhISkJeXh8uXLyMrK6vZe6Kenh7CwsKQnp6OxMRETJ48WSAMXltbG9HR0SgsLERJSYlQPb6+vvjpp58QERGBzMxMLF++HCkpKVi4cGG77G/MuXPnMGXKFJw7dw6PHj1CZmYmNm/ejD/++EOgXa9duxbR0dF48OAB3N3doayszHx/ctmyZbhx4wbmz5+PlJQUZGVlITIyEvPnzwfQtt+BBg/s5s2bkZWVhR07dtAwUgqF0m7owJDyxSGrrIoZIbsxJTAEM0J2f/TwUVZZsrK4du0aRo4cCX19ffj5+SEoKIg1L6k1QkNDMW3aNCxevBgGBgZwdnZGcnKywNy/5sjIyMDLly9x6NAhqKurM5ulpeWHVqtZbG1twefzmYGhoqIijIyMoKamBgMDA0bOz88PFhYW4PF4sLOzg5qaWps/0t2AqKgoTp8+jbKyMlhaWmLmzJlYuXIlAEDi/0OMm/tMRVlZGeOxaNicnJwE5FRUVHDw4EEcP34cRkZG2LBhAzZv3twuO4UhIiKCo0eP4vbt2zA2NsZ3332HTZs2sWS4XC5OnjwJe3t7GBgYwMPDA6ampoiNjWXCIGtqapCZmcn6DMauXbtgbm7OrGo7ZMgQmJubsz6D0JRevXrh7NmzuHfvHqytrTF48GC8ePECFy9eFJj7ZWBgAHV1dfTs2RPLli3DnDlzsH379hbr279/f9y6dQs9e/bErFmzYGhoyKwIGRIS0p5T127WrVuHH374AYGBgTA0NISjoyPOnz/PhHKLiYnh+++/h6mpKYYMGQJRUVEcPXoUQP01uHbtGrp3747x48fD0NAQHh4eqKysbNaDCAA9evTAnTt3MHToUCxevBjGxsYYNmwYoqOj8csvv7TZ9jlz5mD8+PFwdXXFgAEDUFRUxPIeAvUfrTcwMEC/fv2goqLS5pWEPwQzMzNs2bIFP/30E4yNjREeHo7AwMB26eByucjIyGA+4zF79mx4eXmx5qY2Zv/+/SgpKYGFhQWmTp0Kb29vgW9ZBgUFISoqCpqams2GK3t7e2PRokVYvHgxTExMcPHiRZw5c4a1Iml7MTIyApfLxeLFi9GnTx9YWVnh2LFj2LdvH6ZOncqS3bBhAxYuXIi+ffuisLAQZ8+eZVa1bejXDS9PzM3NsWrVKmhoaDD5W/sdsLKywt69e7F161aYmZnh8uXLzIsyCoVCaSsc0t6VASiUDqCyshJPnjyBjo4O89BPoTQlPj4egwYNQnZ2NuTk5KCuro5nz54xoaYUypeKnZ0d+vTp88kH4hQ2MTExGDp0KEpKSj5ZyHR7oW3hw6HPIpT/dajHkEKhfLacOnUKUVFRyM3NxZUrVzB79mzY2NhAV1cXxcXF2LJlCx0UUij/z86dOyEtLc2sekz5sggPD4e0tDSzKjGFQqE0hS4+Q6FQPltKS0uxbNky5OfnQ1lZGQ4ODggKql9xVl9fX2B5dwrlSyU8PJxZJKitYeiU/y0arxr8X/FeUiiU/xY0lJTyWUDDNygUCoVCoXQk9FmE8r8ODSWlUCgUCoVCoVAolC8cOjCkUCgUCoVCoVAolC8cOjCkUCgUCoVCoVAolC8cOjCkUCgUCoVCoVAolC8cOjCkUCgUCoVCoVAolC8cOjCkUCgUCoVCoVAolC8cOjCkfJG8e/MKLx9n492bVx1qh7u7O5ydnTvUhpiYGHA4HLx9+7ZZmdWrV6NPnz7/mk0diZ2dHXx8fDrajC+O3NxccDgcpKSkNCtz8ODB/6nvr3E4HJw+ffpfKcvOzg4cDqfVc9zRfKx7zZd0z2qJ/7U+0xwHDx5k2je9f1MoHw4dGFK+ON69eYUDPnPw6/c+OOAzp8MHh58DS5YsQXR0dEeb8cFUVFRASkoK2dnZn9WD0pgxY9C9e3dISEhAXV0dU6dOxYsXL1rMs2fPHtjZ2UFWVrbVAX9jkpOTYW9vD3l5eSgoKIDH4yE1NZVJb3iB0LBJSkqid+/e2LNnT5v0Z2dnY/r06ejWrRvExcWho6ODSZMm4datW23KDwCurq549OhRm+U7ksLCQixYsAA9evSAuLg4NDU14eTk9NH7UXteLs2aNQsFBQUwNjbG6tWrWddT2Pa5IGyA/W/es+7evYsJEyagS5cukJCQgJ6eHmbNmvXZtNWm/JsvLD4Wrq6uKCgogLW1dUebQqF81tCBIeWLo+LdO/BragAA/JoaVLx718EW/feRlpaGkpJSR5vxwURFRUFLSws9e/bsaFPaxdChQ3Hs2DFkZmbixIkTyMnJwTfffNNinvLycjg6OmLFihVtLqesrAyOjo7o3r07EhMTcf36dcjIyIDH46Hm//tKA5mZmSgoKEBaWhrmzJmDefPmtfoAfuvWLfTt2xePHj3C7t27kZaWhlOnTqFXr15YvHhxm+2UlJSEqqpqm+U7itzcXPTt2xd//vknNm3ahPv37+PixYsYOnQovLy8OswuLpcLNTU1dOrUCUuWLEFBQQGzdevWDWvXrmUda0x1dXUHWf1h/Fv3rHPnzsHKygpVVVUIDw9Heno6fv31V8jJyeGHH3745OVT6pGUlISamhrExMQ62hQK5bOGDgwpnz01lZXNbrWNHmbevXmF5xlpeJX7mJX/Ve5jPM9IQ/GLZ63q/RB+//13mJiYQFJSEkpKSnBwcMD79+9ZMps3b4a6ujqUlJTg5eXFehivqqrCkiVL0LVrV0hJSWHAgAGIiYlh0hs8YJcuXYKhoSGkpaXh6OjIerAT5g3Q1tZm2XD79m3069cPXC4XAwcORGZmJpPWWljWuXPnIC8vDz6fDwBISUkBh8PB8uXLGZmZM2diypQpAICioiJMmjQJXbt2BZfLhYmJCX777TeWTjs7O3h7e2Pp0qVQVFSEmpoaVq9ezZLJyMjAoEGDICEhASMjI1y5ckXo2+7IyEiMGTOmWftbIiwsDP369YOMjAzU1NTw7bff4tWrv73MDZ60S5cuwdzcHJKSkvjqq6/w6tUrXLhwAYaGhpCVlcW3336L8vJyJt/FixcxaNAgyMvLQ0lJCaNHj0ZOTg6r7O+++w5WVlbQ0tLCwIEDsXz5cty8eVNgsNYYHx8fLF++HFZWVm2uY0ZGBoqLi7F27VoYGBigd+/e8Pf3x8uXL5GXl8eSVVVVhZqaGnR0dODt7Q0dHR3cuXOnWd2EELi7u0NPTw9xcXEYNWoUdHV10adPH/j7+yMyMpIl//jxYwwdOhRcLhdmZmZISEhg0pp6exvaZVhYGLS1tSEnJ4eJEyeitLSUkamrq0NgYCB0dHQgKSkJMzMz/P7770x6SUkJJk+eDBUVFUhKSkJPTw+hoaFM+tOnT+Hi4gJ5eXkoKipi7NixyM3NbfF8enp6gsPhICkpCV9//TX09fXRu3dvLFq0CDdv3mTJvnnzBuPGjQOXy4Wenh7OnDnDpPH5fHh4eDC2GxgYYOvWraz6Hzp0CJGRkUy/bnxvaAlpaWmoqakxm6ioKNPG1dTUMHHiRMyfPx8+Pj5QVlYGj8cDAGzZsgUmJiaQkpKCpqYmPD09UVZWJnCNWrofxcTEoH///pCSkoK8vDxsbGwE2lkDycnJGDZsGJSVlSEnJwdbW1tWe2u4j40bN451X2t6z6qrq8PatWsZj3WfPn1w8eJFJr0hlPnkyZPNtr+mlJeXY/r06Rg5ciTOnDkDBwcH6OjoYMCAAdi8eTN2797NyMbGxqJ///4QFxeHuro6li9fjtraWibdzs4OCxYsgI+PDxQUFNClSxfs3bsX79+/x/Tp0yEjI4OePXviwoULrPPI4XBw/vx5mJqaQkJCAlZWVnjw4EGzNgP190MLCwtISEigR48eWLNmDWNLc+eztXxA/e/Mvn37mm3PAPDgwQOMGDEC0tLS6NKlC6ZOnYo3b94w6S39Xran3VAolA+DDgwpnz3b3L5pdjuzZT2Av8NHj/ovxeXd21j5L+/ehqP+SxG6aB4rrHTv/BkC+tpLQUEBJk2ahBkzZiA9PR0xMTEYP348CCGMzNWrV5GTk4OrV6/i0KFDOHjwIA4ePMikz58/HwkJCTh69Cju3buHCRMmwNHREVlZWYxMeXk5Nm/ejLCwMFy7dg35+flYsmQJy46GLTs7Gz179sSQIUNYtq5cuRJBQUG4desWOnXqhBkzZrS5noMHD0ZpaSnu3r0LoP4hSFlZmfWQGhsbCzs7OwBAZWUl+vbti/Pnz+PBgweYPXs2pk6diqSkJJbeQ4cOQUpKComJidi4cSPWrl2LqKgoAPUPzc7OzuByuUhMTMSePXuwcuVKAdvq6upw7tw5jB07ts31aUxNTQ3WrVuH1NRUnD59Grm5uXB3dxeQW716NXbs2IEbN24wg4mQkBAcOXIE58+fx+XLl7F9+3ZG/v3791i0aBFu3bqF6OhoiIiIYNy4cairqxNqR3FxMcLDwzFw4EB07tz5g+rSHAYGBlBSUsL+/ftRXV2NiooK7N+/H4aGhgIvEBoghODixYvIz8/HgAEDmtWdkpKChw8fYvHixRAREfzJaRrWu3LlSixZsgQpKSnQ19fHpEmTWA+fTcnJycHp06dx7tw5nDt3DrGxsdiwYQOTHhgYiMOHD2PXrl14+PAhvvvuO0yZMgWxsbEAgB9++AFpaWm4cOEC0tPT8csvv0BZWRlA/bXn8XiQkZFBXFwc4uPjmYFOcx604uJiXLx4EV5eXpCSkmq1vmvWrIGLiwvu3buHkSNHYvLkySguLgZQ33a7deuG48ePIy0tDatWrcKKFStw7NgxAPXhki4uLszAq6CgAAMHDmz2XLWXQ4cOQUxMDPHx8di1axcAQEREBNu2bcPDhw9x6NAh/Pnnn1i6dCkrX0v3o9raWjg7O8PW1hb37t1DQkICZs+e3WzoamlpKdzc3HD9+nXcvHkTenp6GDlyJDP4T05OBgCEhoaioKCA2W/K1q1bERQUhM2bN+PevXvg8XgYM2YM6z4KtK/9Xbp0CW/evBGofwMN1/r58+cYOXIkLC0tkZqail9++QX79+/Hjz/+KHC+lZWVkZSUhAULFmDevHmYMGECBg4ciDt37mD48OGYOnUq6wUTAPj6+iIoKAjJyclQUVGBk5NTsy+P4uLiMG3aNCxcuBBpaWnYvXs3Dh48iICAgBbPZ2v5GmipPb99+xZfffUVzM3NcevWLVy8eBEvX76Ei4sLgJZ/L9vbbigUygdCKJTPgIqKCpKWlkYqKioE0ja7jGp2OxHoTwghpDAnq0W5hq0wJ4vR+7PHJIH09nL79m0CgOTm5gpNd3NzI1paWqS2tpY5NmHCBOLq6koIISQvL4+IioqS58+fs/LZ29uT77//nhBCSGhoKAFAsrOz/7b9559Jly5dBMqrq6sj48aNI3379iXl5eWEEEKuXr1KAJArV64wcufPnycAmPPt7+9PzMzMWqyrhYUF2bRpEyGEEGdnZxIQEEDExMRIaWkpefbsGQFAHj161Gz+UaNGkcWLFzP7tra2ZNCgQSwZS0tLsmzZMkIIIRcuXCCdOnUiBQUFTHpUVBQBQE6dOsUci4+PJ6qqqoTP5zPnS05Orlk7bG1tycKFC5tNT05OJgBIaWkpIUT4+QsMDCQASE5ODnNszpw5hMfjNav39evXBAC5f/8+6/jSpUsJl8slAIiVlRV58+ZNszoa02BXSUlJm+Tv379PdHV1iYiICBERESEGBgasdtugT0pKikhJSZFOnToRERER8uOPP7aoNyIiggAgd+7caVHuyZMnBADZt28fc+zhw4cEAElPTyeECF47f39/wuVyybt375hjvr6+ZMCAAYQQQiorKwmXyyU3btxgleXh4UEmTZpECCHEycmJTJ8+XahNYWFhxMDAgNTV1THHqqqqiKSkJLl06ZLQPImJiQQAOXnyZIv1JYQQAMTPz4/ZLysrIwDIhQsXms3j5eVFvv76a2bfzc2NjB07ttWyWmvXWlpaJDg4mCVvbm7eqt7jx48TJSUlZr+1+1FRUREBQGJiYoTqa+1ew+fziYyMDDl79ixzrGmfF6ZHQ0ODBAQEsGQsLS2Jp6cnIaRt7a8pP/30EwFAiouLm7WXEEJWrFgh0I5+/vlnIi0tzdyXmt7vamtriZSUFJk6dSpzrKCggAAgCQkJhJC/++TRo0cZmaKiIiIpKUkiIiIIIYJ9xt7enqxfv55lX1hYGFFXV2f2hZ3PtuZrqT2vW7eODB8+nKXj6dOnBADJzMxs8feytXbTQGvt/J/S0rMIhfK/QKdPPvKkUD4x3od+bzaN8/8eCklZWYh27szMLeRwOCCEMH8BQLRzZ0jKyjJ5Z+048I9tMzMzg729PUxMTMDj8TB8+HB88803UFBQYGR69+4NUVFRZl9dXR33798HANy/fx98Ph/6+vosvVVVVaz5M1wuF7q6uiwdjcMdG1ixYgUSEhJw69YtSEpKstJMTU1Z+QHg1atX6N69O0suLi4OI0aMYPZ3796NyZMnw9bWFjExMVi8eDHi4uIQGBiIY8eO4fr16yguLoaGhgb09PQA1Hv71q9fj2PHjuH58+eorq5GVVUVuFxuszY1rVdmZiY0NTWhpqbGpPfv31+gzpGRkRg9erRQb1VbuH37NlavXo3U1FSUlJQwHr38/HwYGRkJtbVLly7gcrno0aMH61hjj2hWVhZWrVqFxMREvHnzhqXX2NiYkfP19YWHhwfy8vKwZs0aTJs2DefOnfvgN+UjRoxAXFwcAEBLSwsPHz5ERUUFPDw8YGNjg99++w18Ph+bN2/GqFGjkJyczGorcXFxkJGRQVVVFZKSkjB//nwoKipi3rx5CA8Px5w5cxjZCxcusLzjbaG5dtirVy+h8tra2pCRkWHlaWgj2dnZKC8vx7Bhw1h5qqurYW5uDgCYN28evv76a8Yj4+zszHjdUlNTkZ2dzdIP1Hu8c3JyhPaF9s5jbVxfKSkpyMrKsvruzz//jAMHDiA/Px8VFRWorq7+11bb7Nu3r8CxK1euIDAwEBkZGXj37h1qa2tRWVmJ8vJypv+2dD9SVFSEu7s7eDwehg0bBgcHB7i4uDDXuikvX76En58fYmJi8OrVK/D5fJSXlyM/P7/N9Xj37h1evHgBGxsb1nEbGxvWAktA+9pfW9t2eno6rK2tWX3WxsYGZWVlePbsGXOPbVy2qKgolJSUYGJiwhzr0qULY09jGi+4oqioCAMDA6Snpwu1JTU1FfHx8SxPH5/PF7iGH5qvpfacmpqKq1evQlpaWkB/Tk4Ohg8f3uzvZXvbDYVC+TDowJDy2dNZQqJVGVllVcwI2Y2Kd+9Q/Pwp/tgRBKD+h33k/MVQ7KoJSVlZyCr/vbBFW/S2hqioKKKionDjxg0mlHDlypVITEyEjo5OfTlNwgI5HA4zSCgrK4OoqChu377NGjwCYP24CtPR9KHl119/RXBwMGJiYtC1a1cBWxvraHiAERbW2K9fP9Zy9w0PK3Z2djhw4ABSU1PRuXNn9OrVC3Z2doiJiUFJSQlsbW2ZPJs2bcLWrVsREhLCzFfy8fERCM9r6dy0lTNnzrBCC9vD+/fvwePxwOPxEB4eDhUVFeTn54PH47VoK4fDadV2JycnaGlpYe/evdDQ0EBdXR2MjY0F9CorK0NZWRn6+vowNDSEpqYmbt68+cGr7+3btw8VFRUsm48cOYLc3FwkJCQwA+gjR45AQUEBkZGRmDhxIpNfR0eHCZHr3bs3EhMTERAQgHnz5mHMmDGssNKuXbsiIyMDQP08xobBWEu0tR0Kk2/I07j/AMD58+cF2ry4uDiA+oFyXl4e/vjjD0RFRcHe3h5eXl7YvHkzysrK0LdvX4SHhwuUq6KiAjExMYG+UFNTAw6Hw9S7PfVtav/Ro0exZMkSBAUFwdraGjIyMti0aRMSExPbpPuf0jQUNjc3F6NHj8a8efMQEBAARUVFXL9+HR4eHqiurmYGB63dj0JDQ+Ht7Y2LFy8iIiICfn5+iIqKEjov1s3NDUVFRdi6dSu0tLQgLi4Oa2vrT7YYTnvaX8MLu4yMjI+yGqaw89be/tAaZWVlWLNmDcaPHy+QJtHCb15b87XWH52cnPDTTz8J6FBXV2/197I97YZCoXwYdGBI+WKQVVZlDfwaUOyqiS49Pt1qlRwOBzY2NrCxscGqVaugpaWFU6dOYdGiRa3mNTc3B5/Px6tXrzB48OAPtiEhIQEzZ87E7t27//GPqKSkpFCvSMM8w+DgYGYQaGdnhw0bNqCkpIS1+mR8fDzGjh3LLEZTV1eHR48esTxwrWFgYICnT5/i5cuXzOC06fyirKws5OXlCXiM2kpGRgaKioqwYcMGaGpqAkC7Pq/QHEVFRcjMzMTevXuZ63r9+vVW8zU8YFVVVX1w2cJeCpSXl0NERITl0WjYb+0hVFRUlBloysjICHjX+vTpAyMjIwQFBcHV1VXAc/v27dtP9vkQIyMjiIuLIz8/n/VioikqKipwc3ODm5sbBg8eDF9fX2zevBkWFhaIiIiAqqoqZBtFEzRGWF/g8Xj4+eef4e3tLTC4ak994+PjMXDgQHh6ejLHmi5QJCYmxiz69Km5ffs26urqEBQUxFzHhvmO7cXc3Bzm5ub4/vvvYW1tjSNHjgi9N8XHx2Pnzp0YOXIkgPrFgBovVgLUD0ZaOgeysrLQ0NBAfHw8qx3Ex8cLjTJoK8OHD4eysjI2btyIU6dOCaQ3XGtDQ0OcOHGCiVJpKFtGRgbdunX74PIbuHnzJuN1LCkpwaNHj2BoaChU1sLCApmZmS16toWdz7bkaw0LCwucOHEC2tra6NRJ+ONna7+XbW03FArlw6CLz1C+OBrCSgHB8NGPTWJiItavX49bt24hPz8fJ0+exOvXr5v90W6Kvr4+Jk+ejGnTpuHkyZN48uQJkpKSEBgYiPPnz7dJR2FhIcaNG4eJEyeCx+OhsLAQhYWFeP369T+pmgAKCgowNTVFeHg4s8jMkCFDcOfOHTx69Ij1QKanp8e8GU5PT8ecOXPw8uXLdpU3bNgw6Orqws3NDffu3UN8fDz8/PwA/P1mPTIyEg4ODgLhUXw+HykpKaxNWOhV9+7dISYmhu3bt+Px48c4c+YM1q1b1y47haGgoAAlJSXs2bMH2dnZ+PPPPwVeFCQmJmLHjh1ISUlBXl4e/vzzT0yaNAm6urqMd+L58+fo1asXK0S1sLAQKSkpyM7OBlAfjpySksIsACGMYcOGoaSkBF5eXkhPT8fDhw8xffp0dOrUCUOHDmXJvnr1CoWFhcjLy8Px48cRFhbW4sI+HA4HoaGhePToEQYPHow//vgDjx8/xr179xAQEPDBiwK1BRkZGSxZsgTfffcdDh06hJycHNy5cwfbt2/HoUOHAACrVq1CZGQksrOz8fDhQ5w7d47pn5MnT4aysjLGjh2LuLg4PHnyBDExMfD29sazZ8+aLffnn38Gn89H//79ceLECWRlZSE9PR3btm1rl2dJT08Pt27dwqVLl/Do0SP88MMPAi8/tLW1ce/ePWRmZuLNmzctrlj7T+nZsydqamqY/hAWFsYsStNWnjx5gu+//x4JCQnIy8vD5cuXkZWV1ew9UU9PD2FhYUhPT0diYiImT54sEAavra2N6OhoFBYWoqSkRKgeX19f/PTTT4iIiEBmZiaWL1+OlJQULFy4sF32N0ZKSgr79u3D+fPnMWbMGFy5cgW5ubm4desWli5dirlz5wKoX6X26dOnWLBgATIyMhAZGQl/f38sWrTog0PcG7N27VpER0fjwYMHcHd3h7KycrPftly1ahUOHz6MNWvW4OHDh0hPT8fRo0eZeycg/Hy2JV9reHl5obi4GJMmTUJycjJycnJw6dIlTJ8+HXw+v8Xfy/a2GwqF8mHQgSHli6MhrHRKYAhmhOwW6kX8aGXJyuLatWsYOXIk9PX14efnh6CgINa8pNYIDQ3FtGnTsHjxYhgYGMDZ2RnJyckCc/+aIyMjAy9fvsShQ4egrq7ObJaWlh9arWaxtbUFn89nBoaKioowMjKCmpoaDAwMGDk/Pz9YWFiAx+PBzs4Oampqbf5IdwOioqI4ffo0ysrKYGlpiZkzZzKrkjaENjX3mYqysjLmzXPD5uTkJCCnoqKCgwcP4vjx4zAyMsKGDRuwefPmdtkpDBERERw9ehS3b9+GsbExvvvuO2zatIklw+VycfLkSdjb28PAwAAeHh4wNTVFbGwsEwZZU1ODzMxM1iqFu3btgrm5OWbNmgWgfnBubm4usGx8Y3r16oWzZ8/i3r17sLa2xuDBg/HixQtcvHhRYA6PgYEB1NXV0bNnTyxbtgxz5sxhrbYqjP79++PWrVvo2bMnZs2aBUNDQ4wZMwYPHz5ESEhIe05du1m3bh1++OEHBAYGwtDQEI6Ojjh//jwTyi0mJobvv/8epqamGDJkCERFRXH06FEA9dfg2rVr6N69O8aPHw9DQ0N4eHigsrKyWQ8iAPTo0QN37tzB0KFDsXjxYhgbG2PYsGGIjo7GL7/80mbb58yZg/Hjx8PV1RUDBgxAUVERy3sI1H+03sDAAP369YOKigri4+M/4Cy1DTMzM2zZsgU//fQTjI2NER4ejsDAwHbp4HK5yMjIYD7jMXv2bHh5ebHmpjZm//79KCkpgYWFBaZOnQpvb2+Bb1kGBQUhKioKmpqazYYre3t7Y9GiRVi8eDFMTExw8eJFnDlzhpn3/KGMHTsWN27cQOfOnfHtt9+iV69emDRpEv766y9m1dGuXbvijz/+QFJSEszMzDB37lx4eHi0a1DVEhs2bMDChQvRt29fFBYW4uzZs81+z4/H4+HcuXO4fPkyLC0tYWVlheDgYGhpaTEyws5nW/K1RoPXls/nY/jw4TAxMYGPjw/k5eUhIiLS4u9le9sNhUL5MDikvSsDUCgdQGVlJZ48eQIdHZ0W50FQvmzi4+MxaNAgZGdnQ05ODurq6nj27BkTakqhfKnY2dmhT58+n3wgTvn3iImJwdChQ1FSUvLJwrE/Nz51O6fPIpT/dajHkEKhfLacOnUKUVFRyM3NxZUrVzB79mzY2NhAV1cXxcXF2LJlCx0UUij/z86dOyEtLc2sekyh/K8QHh4OaWlpZsVlCoXyYdDFZygUymdLaWkpli1bhvz8fCgrK8PBwQFBQfUrzurr6wt85oNC+VIJDw9nFglqaxg6hfK50HhFZOo9pVA+HBpKSvksoOEbFAqFQqFQOhL6LEL5X4eGklIoFAqFQqFQKBTKFw4dGFIoFAqFQqFQKBTKFw4dGFIoFAqFQqFQKBTKFw4dGFIoFAqFQqFQKBTKFw4dGFIoFAqFQqFQKBTKFw4dGFK+SLJuvUTo0uvIvv2qo02hUCgUCoVCoVA6HDowpHxxlL+rRkx45v//zUD5u+oOs8Xd3R3Ozs4dVj4AxMTEgMPh4O3bt83KrF69Gn369PnXbOpI7Ozs4OPj09FmUITQlnb4v3T9Dh48+K99ky03NxccDgccDuc/39e1tbUREhLyn9HzOdO0v9jZ2THtICUlpcPsolAoHQMdGFK+KAghiD2SgZqqWgBAdWUtYn/L7GCr/vssWbIE0dHRHW3GB1NRUQEpKSlkZ2f/qw/b/5QxY8age/fukJCQgLq6OqZOnYoXL160mGfPnj2ws7ODrKxsqwP+Bg4ePMg8DDbdXr3626seExMDCwsLiIuLo2fPnjh48CBLj7u7OyuvkpISHB0dce/evTbV98SJE7Czs4OcnBykpaVhamqKtWvXori4uE35AeDkyZNYt25dm+U7kqtXr2LkyJFQUlICl8uFkZERFi9ejOfPn3/UcjgcDk6fPt0m2StXrjB9XVtbu9l2weFw4O7u/lHt/FQ01+eTk5Mxe/bsT17+3r17YWZmBmlpacjLy8Pc3ByBgYGfvNwP4eTJk0hKSupoMygUSgdBB4aUL4rs26/wOOUNSF39PqkDHt99jaxbLzvWsP840tLSUFJS6mgzPpioqChoaWmhZ8+eHW1Kuxg6dCiOHTuGzMxMnDhxAjk5Ofjmm29azFNeXg5HR0esWLGizeW4urqioKCAtfF4PNja2kJVVRUA8OTJE4waNQpDhw5FSkoKfHx8MHPmTFy6dImly9HRkdERHR2NTp06YfTo0a3asHLlSri6usLS0hIXLlzAgwcPEBQUhNTUVISFhbW5LoqKipCRkWmzfEexe/duODg4QE1NDSdOnEBaWhp27dqFv/76C0FBQR1ml5KSEtPXk5OTmWt54sQJAEBmZiZzbOvWray8NTU1/7q9/wQVFRVwudxPWsaBAwfg4+MDb29vpKSkID4+HkuXLkVZWdknLfdDUVRUhIqKSkebQaFQOgg6MKR8thBCUFPFb/P27k0FYsIzhOqKCc/EuzcVbdJDCGmXnb///jtMTEwgKSkJJSUlODg44P379yyZzZs3Q11dHUpKSvDy8mI9YFVVVWHJkiXo2rUrpKSkMGDAAMTExDDpDW/DL126BENDQ0hLSzMP5w0Ie9uvra3NsuH27dvo168fuFwuBg4ciMzMvz2prYXwnTt3DvLy8uDz+QCAlJQUcDgcLF++nJGZOXMmpkyZAgAoKirCpEmT0LVrV3C5XJiYmOC3335j6bSzs4O3tzeWLl0KRUVFqKmpYfXq1SyZjIwMDBo0CBISEjAyMsKVK1eEekciIyMxZsyYZu1vibCwMPTr1w8yMjJQU1PDt99+K+BF43A4uHTpEszNzSEpKYmvvvoKr169woULF2BoaAhZWVl8++23KC8vZ/JdvHgRgwYNgry8PJSUlDB69Gjk5OSwyv7uu+9gZWUFLS0tDBw4EMuXL8fNmzdbfAD38fHB8uXLYWVl1eY6SkpKQk1NjdlERUXx559/wsPDg5HZtWsXdHR0EBQUBENDQ8yfPx/ffPMNgoODWbrExcUZPX369MHy5cvx9OlTvH79utnyk5KSsH79egQFBWHTpk0YOHAgtLW1MWzYMJw4cQJubm4s+bCwMGhra0NOTg4TJ05EaWkpk9Y0NE5bWxvr16/HjBkzICMjg+7du2PPnj0sfU+fPoWLiwvk5eWhqKiIsWPHIjc3l0mPiYlB//79ISUlBXl5edjY2CAvL49Jj4yMhIWFBSQkJNCjRw+sWbMGtbW1zdb32bNn8Pb2hre3Nw4cOAA7Oztoa2tjyJAh2LdvH1atWsWSb6lvJycnY9iwYVBWVoacnBxsbW1x584dVv0BYNy4cUL7fUuoqKgw11JRUREAoKqqCjU1NVRWVkJeXh4RERGwtbWFhIQEwsPDP0rfJoRg9erV6N69O8TFxaGhoQFvb+9m7dyyZQtMTEwgJSUFTU1NeHp6MgOvmJgYTJ8+HX/99Rdz72soq2koaX5+PsaOHQtpaWnIysrCxcUFL1/+/dKw4T7YUvtrypkzZ+Di4gIPDw/07NkTvXv3xqRJkxAQEMDINEwpWLNmDVRUVCArK4u5c+eiuvrvaQ51dXUIDAyEjo4OJCUlYWZmht9//51V1oMHDzBixAhIS0ujS5cumDp1Kt68ecOkv3//HtOmTYO0tDTU1dU79AUEhUL5b9Kpow2gUD6U2uo67FkY+1F0VVfUIswvoU2ys7faorO4aJtkCwoKMGnSJGzcuBHjxo1DaWkp4uLiWIPLq1evQl1dHVevXkV2djZcXV3Rp08fzJo1CwAwf/58pKWl4ejRo9DQ0MCpU6fg6OiI+/fvQ09PD0C9l2jz5s0ICwuDiIgIpkyZgiVLliA8PJyxo4H379/D0dER1tbWLFtXrlyJoKAgqKioYO7cuZgxYwbi4+PbVM/BgwejtLQUd+/eRb9+/RAbGwtlZWXWADY2NhbLli0DAFRWVqJv375YtmwZZGVlcf78eUydOhW6urro378/k+fQoUNYtGgREhMTkZCQAHd3d9jY2GDYsGHg8/lwdnZG9+7dkZiYiNLSUixevFjAtrq6Opw7d67NoXRNqampwbp162BgYIBXr15h0aJFcHd3xx9//MGSW716NXbs2AEulwsXFxe4uLhAXFwcR44cQVlZGcaNG4ft27cz5+D9+/dYtGgRTE1NUVZWhlWrVmHcuHFISUmBiIjgO7vi4mKEh4dj4MCB6Ny58wfVpa0cPnwYXC6X5Z1MSEiAg4MDS47H47U4n6+srAy//vorevbs2aLHOTw8HNLS0vD09BSa3jgMMCcnB6dPn8a5c+dQUlICFxcXbNiwgfWg3ZSgoCCsW7cOK1aswO+//4558+bB1tYWBgYGqKmpAY/Hg7W1NeLi4tCpUyf8+OOPTAisiIgInJ2dMWvWLPz222+orq5GUlISOBwOACAuLg7Tpk3Dtm3bMHjwYOTk5DDhif7+/kLtOX78OKqrq7F06dJW69ta3y4tLYWbmxu2b98OQgiCgoIwcuRIZGVlQUZGBsnJyVBVVUVoaCgcHR0hKtq2e1dbWb58OYKCgmBubg4JCYmP0rdPnDiB4OBgHD16FL1790ZhYSFSU1ObtUFERATbtm2Djo4OHj9+DE9PTyxduhQ7d+7EwIEDERISglWrVjEvu6SlpQV01NXVMYPC2NhY1NbWwsvLC66urqz7WHvbn5qaGmJjY5GXlwctLa1m6xAdHQ0JCQnExMQgNzcX06dPh5KSEqM3MDAQv/76K3bt2gU9PT1cu3YNU6ZMgYqKCmxtbfH27Vt89dVXmDlzJoKDg1FRUYFly5bBxcUFf/75JwDA19cXsbGxiIyMhKqqKlasWIE7d+785+eUUiiUfxFCoXwGVFRUkLS0NFJRUcEcq66sJTvmRP/rW3VlbZvtvn37NgFAcnNzhaa7ubkRLS0tUlv7t84JEyYQV1dXQggheXl5RFRUlDx//pyVz97ennz//feEEEJCQ0MJAJKdnc2k//zzz6RLly4C5dXV1ZFx48aRvn37kvLyckIIIVevXiUAyJUrVxi58+fPEwDM+fb39ydmZmYt1tXCwoJs2rSJEEKIs7MzCQgIIGJiYqS0tJQ8e/aMACCPHj1qNv+oUaPI4sWLmX1bW1syaNAgloylpSVZtmwZIYSQCxcukE6dOpGCggImPSoqigAgp06dYo7Fx8cTVVVVwufzmfMlJyfXrB22trZk4cKFzaYnJycTAKS0tJQQIvz8BQYGEgAkJyeHOTZnzhzC4/Ga1fv69WsCgNy/f591fOnSpYTL5RIAxMrKirx586ZZHY1psKukpKRN8o0xNDQk8+bNYx3T09Mj69evZx1raCcNbcnNzY2IiooSKSkpIiUlRQAQdXV1cvv27RbLGzFiBDE1NW3VLn9/f8Llcsm7d++YY76+vmTAgAHMftPrp6WlRaZMmcLs19XVEVVVVfLLL78QQggJCwsjBgYGpK6ujpGpqqoikpKS5NKlS6SoqIgAIDExMUJtsre3FzgvYWFhRF1dvdl6zJs3j8jKyrZa3/b07Qb4fD6RkZEhZ8+eZY417RPCePLkCQFA7t69KzS9aXtqkA8JCWm1Hu3t20FBQURfX59UV1cL1aelpUWCg4ObLe/48eNESUmJ2W+uzzfWc/nyZSIqKkry8/OZ9IcPHxIAJCkpiRDStvbXlBcvXhArKysCgOjr6xM3NzcSERHB3I8Iqe83ioqK5P3798yxX375hUhLSxM+n08qKysJl8slN27cYOn28PAgkyZNIoQQsm7dOjJ8+HBW+tOnTwkAkpmZSUpLS4mYmBg5duwYk15UVEQkJSUF7nettYUvGWHPIhTK/xLUY0j5bOkkJoLZW23bJEsIQdSBh8h7UMTML2wMRwTQNlHGsBm921RuWzEzM4O9vT1MTEzA4/EwfPhwfPPNN1BQUGBkevfuzXqLr66ujvv37wMA7t+/Dz6fD319fZbeqqoqlgeGy+VCV1eXpaNxuGMDK1asQEJCAm7dugVJSUlWmqmpKSs/ALx69Qrdu3dnycXFxWHEiBHM/u7duzF58mTY2toiJiYGixcvRlxcHAIDA3Hs2DFcv34dxcXF0NDQYDycfD4f69evx7Fjx/D8+XNUV1ejqqpKYL5PY5ua1iszMxOamppQU1Nj0ht7JBqIjIzE6NGjhXrh2sLt27exevVqpKamoqSkBHV19Q0oPz8fRkZGQm3t0qULuFwuevTowTrWeFGHrKwsrFq1ComJiXjz5g1Lr7GxMSPn6+sLDw8P5OXlYc2aNZg2bRrOnTvHeKzay4gRIxAXFwcA0NLSwsOHD1npCQkJSE9Pb9e8vsYMHToUv/zyCwCgpKQEO3fuxIgRI5CUlAQtLS2h5ZN2hGdra2uz5hA219Yb0/jacDgcqKmpMXlSU1ORnZ0tMC+xsrISOTk5GD58ONzd3cHj8TBs2DA4ODjAxcWF6SOpqamIj49neYz4fD4qKytRXl6ORYsW4ddff2XSysrKQAhp8/VrrW+/fPkSfn5+iImJwatXr8Dn81FeXo78/Pw26f+n9OvXj7X/Mfr2hAkTEBISgh49esDR0REjR46Ek5MTOnUS/shy5coVBAYGIiMjA+/evUNtbS1z/ts6hzA9PR2amprQ1NRkjhkZGUFeXh7p6emwtLQE0P72p66ujoSEBDx48ADXrl3DjRs34Obmhn379uHixYvMfcnMzIxlq7W1NcrKyvD06VOUlZWhvLwcw4YNY+murq6Gubk5gPp2ePXqVaHe0JycHFRUVKC6uhoDBgxgjisqKsLAwKBN54dCoXwZ0IEh5bOFw+G0OaQTAIZOMUS4/01UVwjO/RGT6AS7yb3apa8tiIqKIioqCjdu3MDly5exfft2rFy5EomJidDR0QEAgbBADofDDBLKysogKiqK27dvC4SANX4AEKaj6cP2r7/+iuDgYMTExKBr164CtjbW0fDQ2mBHY/r168daxrxLly4A6ucNHThwAKmpqejcuTN69eoFOzs7xMTEoKSkBLa2fw/iN23ahK1btyIkJISZG+Tj48OaU9PauWkrZ86cwYYNG9qVp4H379+Dx+OBx+MhPDwcKioqyM/PB4/Ha9FWDofTqu1OTk7Q0tLC3r17oaGhgbq6OhgbGwvoVVZWhrKyMvT19WFoaAhNTU3cvHlTIBS4rezbtw8VFRUCNjdO79OnD/r27cs6rqamxppvBdQPSmRlZVkvGaSkpFiL/Ozbtw9ycnLYu3cvfvzxR6Hl6+vr4/r166ipqWk1TPZD2kRrfaxv375MaGZjGhbhCA0Nhbe3Ny5evIiIiAj4+fkhKioKVlZWKCsrw5o1azB+/HiB/BISEli7di2WLFnCOq6vr4+//voLBQUFzACzPbY37ttubm4oKirC1q1boaWlBXFxcVhbWwu0o0+FlJQUa/9j9G1NTU1kZmbiypUriIqKgqenJzZt2oTY2FiBfLm5uRg9ejTmzZuHgIAAKCoq4vr16/Dw8EB1dfVHX1zmQ+9JxsbGMDY2hqenJ+bOnYvBgwcjNjYWQ4cObTVvw3zJ8+fPC9y7xcXFGRknJyf89NNPAvnV1dWRnZ3dajkUCoVCB4aULwaurBjsJhvg8r6HAmm23xqAKyv2ScrlcDiwsbGBjY0NVq1aBS0tLZw6dQqLFi1qNa+5uTn4fD5evXqFwYMHf7ANCQkJmDlzJnbv3t2uRUmEISkpKXR1z4Z5hsHBwcwg0M7ODhs2bEBJSQlr/l98fDzGjh3LLEZTV1eHR48esTxwrWFgYICnT5/i5cuXzOA0OTmZJZOVlYW8vDyBN+1tJSMjA0VFRdiwYQPjSbh169YH6WpMUVERMjMzsXfvXua6Xr9+vdV8DQ+gVVVVH1y2sJcCDZSVleHYsWNCl9K3trYWmFcZFRXV6gCVw+FARESEGQwKK//bb7/Ftm3bsHPnTixcuFAg/e3bt5/sEyMWFhaIiIiAqqoqZGVlm5UzNzeHubk5vv/+e1hbW+PIkSOwsrKChYUFMjMzm13xVlVVlVnZtYFvvvkGy5cvx8aNGwUW7wHaV9/4+Hjs3LkTI0eOBFC/kE7jBUeA+sFMw8JQn5qP0beB+vuMk5MTnJyc4OXlhV69euH+/fuwsLBgyd2+fRt1dXUICgpivG/Hjh1jyYiJibVaf0NDQzx9+hRPnz5l+npaWhrevn3bbttbo0Ff40XIUlNTUVFRwbxkuXnzJqSlpaGpqQlFRUWIi4sjPz+f9YKtMRYWFjhx4gS0tbWFelZ1dXXRuXNnJCYmMlEgJSUlePToUbM6KRTKlwcdGFK+KHr2VUX2rZd4cq/+kxUcEUDHTAV6/bp8kvISExMRHR2N4cOHQ1VVFYmJiXj9+jUMDQ3blF9fXx+TJ0/GtGnTmAUeXr9+jejoaJiammLUqFGt6igsLMS4ceMwceJE8Hg8FBYWAqj3Zn7MZckVFBRgamqK8PBw7NixAwAwZMgQuLi4oKamhvXwoaenh99//x03btyAgoICtmzZgpcvX7brAWzYsGHQ1dWFm5sbNm7ciNLSUvj5+QH42+MZGRkJBwcHAa8Bn88X+HizuLi4wHXp3r07xMTEsH37dsydOxcPHjz4KN/IU1BQgJKSEvbs2QN1dXXk5+ezVnAF6ttOcnIyBg0aBAUFBeTk5OCHH36Arq4uMxh7/vw57O3tcfjwYSaMtrCwEIWFhYyH4P79+8xqnA0rSzZHREQEamtrmYf6xsydOxc7duzA0qVLMWPGDPz55584duwYzp8/z5Krqqpi2lhJSQl27NjBeDOaY8CAAVi6dCnzDb9x48ZBQ0MD2dnZ2LVrFwYNGiR0wPgxmDx5MjZt2oSxY8di7dq16NatG/Ly8nDy5EksXboUNTU12LNnD8aMGQMNDQ1kZmYiKysL06ZNAwCsWrUKo0ePRvfu3fHNN99AREQEqampePDgAX788UehZWpqaiI4OBjz58/Hu3fvMG3aNGhra+PZs2c4fPgwpKWl27xipJ6eHrNy7rt37+Dr6ysQJq6trY3o6GjY2NhAXFycFcr+sfkYffvgwYPg8/kYMGAAuFwufv31V0hKSgpdvKVnz56oqanB9u3b4eTkhPj4eOzatYslo62tjbKyMkRHRzMhm03vCQ4ODjAxMcHkyZMREhKC2tpaeHp6wtbWViBctj3MmzcPGhoa+Oqrr9CtWzcUFBTgxx9/hIqKCuulSnV1NTw8PODn54fc3Fz4+/tj/vz5EBERgYyMDJYsWYLvvvsOdXV1GDRoEP766y/Ex8dDVlYWbm5u8PLywt69ezFp0iRmtdfs7GwcPXoU+/btg7S0NDw8PODr6wslJSWoqqpi5cqVHxxiT6FQ/jehdwTKFwWHw4Htt73QWbz+nYiYRCfYTvp0cyxkZWVx7do1jBw5Evr6+vDz80NQUBBrjl5rhIaGYtq0aVi8eDEMDAzg7OyM5ORkgbl/zZGRkYGXL1/i0KFDUFdXZ7aGOTMfE1tbW/D5fNjZ2QGon8NiZGQENTU11lwWPz8/WFhYgMfjwc7ODmpqanB2dm5XWaKiojh9+jTKyspgaWmJmTNnYuXKlQDqQ/iA5j9TUVZWxniAGjZhAxcVFRUcPHgQx48fh5GRETZs2IDNmze3y05hiIiI4OjRo7h9+zaMjY3x3XffYdOmTSwZLpeLkydPwt7eHgYGBvDw8ICpqSliY2OZ8LGamhpkZmayPoOxa9cumJubM6vaDhkyBObm5jhz5kyrdu3fvx/jx48X6q3S0dHB+fPnERUVBTMzMwQFBWHfvn3g8XgsuYsXLzJtbMCAAUhOTsbx48eZNtEcP/30E44cOYLExETweDz07t2bWbW16ecqPiZcLhfXrl1D9+7dMX78eBgaGsLDwwOVlZWQlZUFl8tFRkYGvv76a+jr62P27Nnw8vLCnDlzANSvzHru3DlcvnwZlpaWsLKyQnBwcIsrUAKAp6cnLl++zAyEe/XqhZkzZ0JWVlYg9LQl9u/fj5KSElhYWGDq1Knw9vYW8FAGBQUhKioKmpqazJy0T8XH6Nvy8vLYu3cvbGxsYGpqiitXruDs2bNCV7Y1MzPDli1b8NNPP8HY2Bjh4eECHu+BAwdi7ty5cHV1hYqKCjZu3Cigh8PhIDIyEgoKChgyZAgcHBzQo0cPREREtMv2pjg4OODmzZuYMGEC9PX18fXXX0NCQgLR0dGs+tjb20NPTw9DhgyBq6srxowZw/qEx7p16/DDDz8gMDAQhoaGcHR0xPnz55kpCRoaGoiPjwefz8fw4cNhYmICHx8fyMvLM4O/TZs2YfDgwXBycoKDgwMGDRokEDJOoVC+bDikPbP+KZQOorKyEk+ePIGOjg7z0P9PyLr1EtePZWGwqz569lVtPQPlsyA+Ph6DBg1CdnY25OTkoK6ujmfPnjGhphQKRTi5ubnQ0dHB3bt36ecL/mXc3d3x9u3bD/6kzseGtoXm+djPIhTKfw0aSkr5ItHr1+WThY9S/j1OnToFaWlp6OnpITs7GwsXLoSNjQ10dXXx6NEjbNmyhQ4KKZR2MHDgQPTp0wc3btzoaFMoHcCIESNw7dq1jjaDQqF0EHRgSKFQPltKS0uxbNky5OfnQ1lZGQ4ODszcLH19fYHPfFAoFOF069YNWVlZAP5e6ZLy5dF41eC2TlegUCj/O9BQUspnAQ3foFAoFAqF0pHQZxHK/zp08RkKhUKhUCgUCoVC+cKhA0MKhUKhUCgUCoVC+cKhA0MKhUKhUCgUCoVC+cKhA0MKhUKhUCgUCoVC+cKhA0MKhUKhUCgUCoVC+cKhA0PKF0nWrZcIXXod2bdfdagd7u7ucHZ27lAbYmJiwOFw8Pbt22ZlVq9e/cV86NjOzg4+Pj4dbQZFCG1ph/9L1+/gwYOQl5f/V8rKzc0Fh8MBh8P5z/d1bW1thISE/Gf0fO78L/WZlrCzs2PaeEpKSkebQ6H8J6EDQ8oXR/m7asSEZ/7/3wyUv6vuaJP+8yxZsgTR0dEdbcYHU1FRASkpKWRnZ/+rD9v/lDFjxqB79+6QkJCAuro6pk6dihcvXrSYZ8+ePbCzs4OsrGyrA/4GDh48yDwwNd1evfr75UlMTAwsLCwgLi6Onj174uDBgyw97u7urLxKSkpwdHTEvXv32lTfEydOwM7ODnJycpCWloapqSnWrl2L4uLiNuUHgJMnT2LdunVtlu9Irl69ipEjR0JJSQlcLhdGRkZYvHgxnj9//lHL4XA4OH36dJtkr1y5wvR1bW3tZtsFh8OBu7v7R7XzU9Fcn09OTsbs2bM/efmEEOzZswcDBgyAtLQ05OXl0a9fP4SEhKC8vPyTl/+x+ZzuoY05efIkkpKSOtoMCuU/DR0YUr4oCCGIPZKBmqpaAEB1ZS1if8vsYKv++0hLS0NJSamjzfhgoqKioKWlhZ49e3a0Ke1i6NChOHbsGDIzM3HixAnk5OTgm2++aTFPeXk5HB0dsWLFijaX4+rqioKCAtbG4/Fga2sLVVVVAMCTJ08watQoDB06FCkpKfDx8cHMmTNx6dIlli5HR0dGR3R0NDp16oTRo0e3asPKlSvh6uoKS0tLXLhwAQ8ePEBQUBBSU1MRFhbW5rooKipCRkamzfIdxe7du+Hg4AA1NTWcOHECaWlp2LVrF/766y8EBQV1mF1KSkpMX09OTmau5YkTJwAAmZmZzLGtW7ey8tbU1Pzr9v4TVFRUwOVyP3k5U6dOhY+PD8aOHYurV68iJSUFP/zwAyIjI3H58uVPXj6lHkVFRaioqHS0GRTKfxtCoXwGVFRUkLS0NFJRUfGP9DxKLiQ75kQLbI+SCz+SpYIcP36cGBsbEwkJCaKoqEjs7e1JWVkZIYQQNzc3MnbsWLJp0yaipqZGFBUViaenJ6murmbyV1ZWksWLFxMNDQ3C5XJJ//79ydWrV5n00NBQIicnRy5evEh69epFpKSkCI/HIy9evGBkAAhsWlpahBBCrl69SgCQK1eukL59+xJJSUlibW1NMjIymPz+/v7EzMys2TqePXuWyMnJkdraWkIIIXfv3iUAyLJlyxgZDw8PMnnyZEIIIW/evCETJ04kGhoaRFJSkhgbG5MjR46wdNra2pIFCxYQX19foqCgQLp06UL8/f1ZMunp6cTGxoaIi4sTQ0NDEhUVRQCQU6dOseRmzJjB2NJwvprD1taWLFy4kNk/fPgw6du3L5GWliZdunQhkyZNIi9fvmTSG87fxYsXSZ8+fYiEhAQZOnQoefnyJfnjjz9Ir169iIyMDJk0aRJ5//49k+/ChQvExsaGyMnJEUVFRTJq1CiSnZ3drF2EEBIZGUk4HA6rfTRHg10lJSWtyjbl1atXpHPnzuTw4cPMsaVLl5LevXuz5FxdXQmPx2P2G9pzY+Li4ggA8urVq2bLS0xMJABISEiI0PSGOjS0w8OHDxMtLS0iKytLXF1dybt37xjZptdPS0uLBAQEkOnTpxNpaWmiqalJdu/ezdKfn59PJkyYQOTk5IiCggIZM2YMefLkCZN+9epVYmlpSbhcLpGTkyMDBw4kubm5TPrp06eJubk5ERcXJzo6OmT16tWkpqam2fo+ffqUiImJER8fnxbr25a+nZSURBwcHIiSkhKRlZUlQ4YMIbdv32bVX1i/b8qTJ08IAHL37l2h6U3bU4P80aNHyZAhQ4i4uDgJDQ39KH27rq6O+Pv7E01NTSImJkbU1dXJggULWHUKDg5m9oOCgoixsTHhcrmkW7duZN68eaS0tJRld+OtoaymevLy8siYMWOIlJQUkZGRIRMmTCCFhX//NrSl/TUlIiKCACCnT58WSKurqyNv374lhBDC5/PJmjVrSNeuXYmYmBgxMzMjFy5cELg+ERERZNCgQURCQoL069ePZGZmkqSkJNK3b18iJSVFHB0dWX2toU+uXr2aKCsrExkZGTJnzhxSVVXFuh6N+0xLvzktnc+P8VtFCCF79+4lvXr1IuLi4sTAwID8/PPPTFpVVRXx8vIiampqRFxcnHTv3p2sX7+eOZ8ttZvG57G5dt4aH+tZhEL5r0I9hpTPnpoqfrNbbQ2fkWsIHRVGTHgmSosqWtXbXgoKCjBp0iTMmDED6enpiImJwfjx40EIYWSuXr2KnJwcXL16FYcOHcLBgwdZIXrz589HQkICjh49inv37mHChAlwdHREVlbW33UrL8fmzZsRFhaGa9euIT8/H0uWLGHZ0bBlZ2ejZ8+eGDJkCMvWlStXIigoCLdu3UKnTp0wY8aMNtdz8ODBKC0txd27dwEAsbGxUFZWRkxMDCMTGxsLOzs7AEBlZSX69u2L8+fP48GDB5g9ezamTp0qEOZz6NAhSElJITExERs3bsTatWsRFRUFAODz+XB2dgaXy0ViYiL27NmDlStXCthWV1eHc+fOYezYsW2uT2Nqamqwbt06pKam4vTp08jNzRUaQrd69Wrs2LEDN27cwNOnT+Hi4oKQkBAcOXIE58+fx+XLl7F9+3ZG/v3791i0aBFu3bqF6OhoiIiIYNy4cairqxNqR3FxMcLDwzFw4EB07tz5g+rSVg4fPgwul8vyTiYkJMDBwYElx+PxkJCQ0KyesrIy/Prrr+jZs2eLHufw8HBIS0vD09NTaHrjsLWcnBycPn0a586dw7lz5xAbG4sNGza0WJ+goCD069cPd+/ehaenJ+bNm4fMzPpIgZqaGvB4PMjIyCAuLg7x8fGQlpaGo6MjqqurUVtbC2dnZ9ja2uLevXtISEjA7NmzweFwAABxcXGYNm0aFi5ciLS0NOzevRsHDx5EQEBAs/YcP34c1dXVWLp0aav1ba1vl5aWws3NDdevX8fNmzehp6eHkSNHorS0FEC91w8AQkNDUVBQwOx/LJYvX46FCxciPT0dPB7vo/TtEydOIDg4GLt370ZWVhZOnz4NExOTZm0QERHBtm3b8PDhQxw6dAh//vknc24HDhyIkJAQyMrKMvfAxuevgbq6OowdOxbFxcWIjY1FVFQUHj9+DFdXV5Zce9tfeHg4DAwMhN5/OBwO5OTkAABbt25FUFAQNm/ejHv37oHH42HMmDGs+zwA+Pv7w8/PD3fu3EGnTp3w7bffYunSpdi6dSvi4uKQnZ2NVatWsfJER0czvz+//fYbTp48iTVr1jRrc0u/OS2dz4/xWxUeHo5Vq1YhICAA6enpWL9+PX744QccOnQIALBt2zacOXOGiaQIDw+HtrY2gPa3GwqFIoSOHplSKG2hpbd0wjyADdvZ7SmEkPo3iX/8ktqi7L5FsSy9+xZfE5BpL7dv3yYAWN6Fxri5uREtLS3G00YIIRMmTCCurq6EkPo32KKiouT58+esfPb29uT7778nhNS/hQXA8jb9/PPPpEuXLgLl1dXVkXHjxpG+ffuS8vJyQgjbY9jA+fPnCQDmfLfmMSSEEAsLC7Jp0yZCCCHOzs4kICCAiImJkdLSUvLs2TMCgDx69KjZ/KNGjSKLFy9m9m1tbcmgQYNYMpaWlozn78KFC6RTp06koKCASRfmMYyPjyeqqqqEz+cz56s9HsOmJCcnEwACHonG5y8wMJAAIDk5OcyxOXPmsLxrTXn9+jUBQO7fv886vnTpUsLlcgkAYmVlRd68edOsjsb8E4+hoaEhmTdvHuuYnp4e82a+gYZ20tCW3NzciKioKJGSkiJSUlIEAFFXV2d5sIQxYsQIYmpq2qpd/v7+hMvlsjw0vr6+ZMCAAcy+MI/hlClTmP26ujqiqqpKfvnlF0IIIWFhYcTAwIDU1dUxMlVVVURSUpJcunSJFBUVEQAkJiZGqE329vYC5yUsLIyoq6s3W4958+YRWVnZVuvbnr7dAJ/PJzIyMuTs2bPMsaZ9Qhgf6jFszsvbmPb27aCgIKKvr9+sZ7ypp68px48fJ0pKSsx+c32+sZ7Lly8TUVFRkp+fz6Q/fPiQACBJSUmEkLa1v6YYGhqSMWPGNJvegIaGBgkICGAds7S0JJ6enoSQv8/3vn37mPTffvuNACDR0X//NgUGBhIDAwNm383NjSgqKrKiFX755RciLS3N3BMb95m2/uY0PZ8f67dKV1dXwMO8bt06Ym1tTQghZMGCBeSrr75i9dcGWms3hFCPIYXSGtRjSPkiKH7xHo9T3rQoU/m+FkUvyj5quWZmZrC3t4eJiQkmTJiAvXv3oqSkhCXTu3dviIqKMvvq6urMgh/3798Hn8+Hvr4+pKWlmS02NhY5OTlMHi6XC11dXaE6GrNixQokJCQgMjISkpKSrDRTU1NWfgBCdcTFxbFsCQ8PBwDY2toiJiYGhBDExcVh/PjxMDQ0xPXr1xEbGwsNDQ3o6ekBqPf2rVu3DiYmJlBUVIS0tDQuXbqE/Pz8Zm1qWq/MzExoampCTU2NSe/fv7+AvZGRkRg9ejRERD7sdnf79m04OTmhe/fukJGRga2tLQC0aGuXLl3A5XLRo0cP1rHG5zMrKwuTJk1Cjx49ICsry7z1bqrX19cXd+/exeXLlyEqKopp06axPM7tZcSIEcy16927t0B6QkIC0tPT4eHh8UH6G+YgpqSkICkpCTweDyNGjEBeXl6z5benPtra2qw5hM219cY0vjYcDgdqampMntTUVGRnZ0NGRoaxS1FREZWVlcjJyYGioiLc3d3B4/Hg5OSErVu3oqCggNGXmpqKtWvXsvrErFmzUFBQgPLycsydO5eV1lDfBo9ja7TWt1++fIlZs2ZBT08PcnJykJWVRVlZmUA7+lT069ePtf8x+vaECRNQUVGBHj16YNasWTh16hRqa2ubteHKlSuwt7dH165dISMjg6lTp6KoqKhdC7ukp6dDU1MTmpqazDEjIyPIy8sjPT2dOdbe9teWtv3u3Tu8ePECNjY2rOM2NjassgHB+wwAlles6X0GqP8dajyX0traGmVlZXj69KmALW39zfnQfC215/fv3yMnJwceHh4sHT/++COjw93dHSkpKTAwMIC3tzdrjmZ72w2FQhGkU0cbQKH8U2ZvtW02jfP/YwFFDSn06KOMJ/fegAiJ1OOIANomylDSkGaOTQsY+I9tExUVRVRUFG7cuMGEEq5cuRKJiYnQ0dEBAIGwQA6Hw4QTlpWVQVRUFLdv32YNHgEwD5nN6Wj6QPLrr78iODgYMTEx6Nq1q4CtjXU0PLQKC2vs168fa6nvhocTOzs7HDhwAKmpqejcuTN69eoFOzs7xMTEoKSkhBlQAcCmTZuwdetWhISEwMTEBFJSUvDx8UF1NXuF2JbOTVs5c+ZMq6GGzfH+/XvweDzweDyEh4dDRUUF+fn54PF4LdrK4XBatd3JyQlaWlrYu3cvNDQ0UFdXB2NjYwG9ysrKUFZWhr6+PgwNDaGpqYmbN2/C2tr6g+q0b98+VFRUCNjcOL1Pnz7o27cv67iamhpevnzJOvby5UvIysqyXjJISUmxFvnZt28f5OTksHfvXvz4449Cy9fX18f169dRU1PTapjsh7SJ1vpY3759mRccjWlYqCI0NBTe3t64ePEiIiIi4Ofnh6ioKFhZWaGsrAxr1qzB+PHjBfJLSEhg7dq1AqGL+vr6+Ouvv1BQUMC8hGmP7Y37tpubG4qKirB161ZoaWlBXFwc1tbWAu3oUyElJcXa/xh9W1NTE5mZmbhy5QqioqLg6emJTZs2ITY2ViBfbm4uRo8ejXnz5iEgIACKioq4fv06PDw8UF1d/dEXl2lv+9PX10dGhvApDP+0/Ib7dNNj7b1HNqatvzkfmq+l9lxWVv9idu/evRgwYABLrkGnhYUFnjx5ggsXLuDKlStwcXGBg4MDfv/993a1GwqFIhw6MKR89nQWF21VhsPhwPbbXniWeRPVFYJvEMUkOsFucq92620LHA4HNjY2sLGxwapVq6ClpYVTp05h0aJFreY1NzcHn8/Hq1evMHjw4A+2ISEhATNnzsTu3bthZWX1wXoAQFJSUujqng3zDIODg5lBoJ2dHTZs2ICSkhIsXryYkY2Pj8fYsWMxZcoUAPUD0EePHsHIyKjNdhgYGODp06d4+fIlMzhtOn8qKysLeXl5GDZsWLvrCQAZGRkoKirChg0bGE/CrVu3PkhXY4qKipCZmYm9e/cy1/X69eut5mt44KuqqvrgsoW9FGigrKwMx44dQ2BgoECatbU1/vjjD9axqKioVgeoHA4HIiIizGBQWPnffvsttm3bhp07d2LhwoUC6W/fvv1ky+NbWFggIiICqqqqkJWVbVbO3Nwc5ubm+P7772FtbY0jR47AysoKFhYWyMzMbHbFW1VVVWZl1wa++eYbLF++HBs3bkRwcLBAnvbUNz4+Hjt37sTIkSMBAE+fPsWbN+zoiM6dO4PPb/8c6Q/hY/RtoP4+4+TkBCcnJ3h5eaFXr164f/8+LCwsWHK3b99GXV0dgoKCmKiAY8eOsWTExMRarb+hoSGePn2Kp0+fMn09LS0Nb9++bbftjfn2228xceJEREZGCswzJITg3bt3kJOTg4aGBuLj41kv0OLj44VGQbSX1NRUVFRUMC9wbt68CWlpaZZ3tIG2/OYIO58f47eqS5cu0NDQwOPHjzF58uRm5WRlZeHq6gpXV1d88803cHR0RHFxMRQVFdvcbigUinDowJDyxcCVFYPdZANc3vdQIM32WwNwZcU+epmJiYmIjo7G8OHDoaqqisTERLx+/RqGhoZtyq+vr4/Jkydj2rRpCAoKgrm5OV6/fo3o6GiYmppi1KhRreooLCzEuHHjMHHiRPB4PBQWFgKofwP7MZfuVlBQgKmpKcLDw7Fjxw4AwJAhQ+Di4oKamhrWA4+enh5+//133LhxAwoKCtiyZQtevnzZrgewYcOGQVdXF25ubti4cSNKS0vh5+cH4O836ZGRkXBwcBDwGvD5fIEPHIuLiwtcl+7du0NMTAzbt2/H3Llz8eDBg4/yjTwFBQUoKSlhz549UFdXR35+PpYvX86SSUxMRHJyMgYNGgQFBQXk5OTghx9+gK6uLjMYe/78Oezt7XH48GHmAbKwsBCFhYXIzs4GUB/iJSMjg+7du0NRUbFFuyIiIlBbW8s81Ddm7ty52LFjB5YuXYoZM2bgzz//xLFjx3D+/HmWXFVVFdPGSkpKsGPHDpSVlcHJyanZcgcMGIClS5cy3/AbN24cNDQ0kJ2djV27dmHQoEFCB4wfg8mTJ2PTpk0YO3Ys1q5di27duiEvLw8nT57E0qVLUVNTgz179mDMmDHQ0NBAZmYmsrKyMG3aNADAqlWrMHr0aHTv3h3ffPMNREREkJqaigcPHuDHH38UWqampiaCg4Mxf/58vHv3DtOmTYO2tjaePXuGw4cPQ1paus2frNDT00NYWBj69euHd+/ewdfXVyBMXFtbG9HR0bCxsYG4uDgUFBT+2UlrxZ5/2rcPHjwIPp+PAQMGgMvl4tdff4WkpCS0tLQEZHv27Imamhps374dTk5OiI+Px65du1gy2traKCsrQ3R0NBNW2fSe4ODgABMTE0yePBkhISGora2Fp6cnbG1tBcJl24OLiwtOnTqFSZMmwc/PD8OHD4eKigru37+P4OBgLFiwAM7OzvD19YW/vz90dXXRp08fhIaGIiUlRagnu71UV1fDw8MDfn5+yM3Nhb+/P+bPny80vL4tvznCzufH+K0CgDVr1sDb2xtycnJwdHREVVUVbt26hZKSEixatAhbtmyBuro6zM3NISIiguPHj0NNTQ3y8vLtajcUCkU4dI4h5YuiZ19V9OijzISYckSAHuYq0OvX5ZOUJysri2vXrmHkyJHQ19eHn58fgoKCMGLEiDbrCA0NxbRp07B48WIYGBjA2dkZycnJ6N69e5vyZ2Rk4OXLlzh06BDU1dWZzdLS8kOr1Sy2trbg8/nM6qOKioowMjKCmpoaDAwMGDk/Pz9YWFiAx+PBzs4OampqcHZ2bldZoqKiOH36NMrKymBpaYmZM2cyq5JKSEgAqB8YjhkzRiBvWVkZ4wFq2IQNXFRUVHDw4EEcP34cRkZG2LBhAzZv3twuO4UhIiKCo0eP4vbt2zA2NsZ3332HTZs2sWS4XC5OnjwJe3t7GBgYwMPDA6ampoiNjYW4uDiA+hU1MzMzWXOpdu3aBXNzc8yaNQtA/eDc3NwcZ86cadWu/fv3Y/z48UK9VTo6Ojh//jyioqJgZmaGoKAg7Nu3DzwejyV38eJFpo0NGDAAycnJOH78ONMmmuOnn37CkSNHkJiYCB6Ph969e2PRokUwNTWFm5tbq7Z/KFwuF9euXUP37t2ZebEeHh6orKyErKwsuFwuMjIy8PXXX0NfXx+zZ8+Gl5cX5syZA6B+ZdZz587h8uXLsLS0hJWVFYKDg1t9GPX09MTly5eZgXCvXr0wc+ZMyMrKCl01szn279+PkpISWFhYYOrUqfD29hbwUAYFBSEqKgqampowNzdv/0lqBx+jb8vLy2Pv3r2wsbGBqakprly5grNnzwpd2dbMzAxbtmzBTz/9BGNjY4SHhwt4vAcOHIi5c+fC1dUVKioq2Lhxo4AeDoeDyMhIKCgoYMiQIXBwcECPHj0QERHRLtuF6T1y5Ai2bNmC06dPw9bWFqampli9ejXGjh3L9B9vb28sWrQIixcvhomJCS5evIgzZ84w87L/Cfb29tDT08OQIUPg6uqKMWPGYPXq1c3Kt/ab09z5/Ke/VQAwc+ZM7Nu3D6GhoTAxMYGtrS0OHjzITL2QkZHBxo0b0a9fP1haWiI3Nxd//PEHRERE2tVuKBSKcDjkn6xiQKH8S1RWVuLJkyfQ0dFhHvo/lPJ31Qj3rw8pFed2wrerrT6Jt5Dy7xMfH49BgwYhOzsbcnJyUFdXx7Nnz5hQUwqFIpzc3Fzo6Ojg7t276NOnT0ebQ/lIuLu74+3btzh9+nRHm/Kf4J+284/5LEKh/BehHkPKF0dDSGn93150UPgZc+rUKURFRSE3NxdXrlzB7NmzYWNjA11dXRQXF2PLli10UEihtIOBAwdi4MB/vvAWhfJfY8SIEUJXYqZQKH9D5xhSvkj0+nX5ZOGjlH+P0tJSLFu2DPn5+VBWVoaDgwMzN0tfXx/6+vodbCGF8nnQrVs35kPkDaHKFMr/Eo1XRG5PeCuF8iVBQ0kpnwU0fINCoVAoFEpHQp9FKP/r0FBSCoVCoVAoFAqFQvnCoQNDCoVCoVAoFAqFQvnCoQNDCoVCoVAoFAqFQvnCoQNDCoVCoVAoFAqFQvnCoQNDCoVCoVAoFAqFQvnCoQNDCoVCoVAoFAqFQvnCoQNDCoVCofxjcnNzweFwwOFw0KdPn442p0W0tbUREhLyn9HzOWNnZwcfHx/WfkM7SElJ6TC7KBQKhdJ+6MCQ8sXBryNIyClCZMpzJOQUgV/36T/l+fTpU8yYMQMaGhoQExODlpYWFi5ciKKiok9edlvIy8uDpKQkysrKAADFxcXw8fGBlpYWxMTEoKGhgRkzZiA/P79D7czNzYWHhwd0dHQgKSkJXV1d+Pv7o7q6usV87u7uzMNq4613796MTGBgICwtLSEjIwNVVVU4OzsjMzOTpUdbW5vJKyoqCg0NDXh4eKCkpKTF8g8ePAh5efkPrrew+jg7O380fa3B4XBw+vTpNsleuXIF0dHRANjnS9jm7u7+6Yz+iDR3/ZKTkzF79uxPXv7evXthZmYGaWlpyMvLw9zcHIGBgZ+83A/h5MmTSEpK6mgzKBQKhfIBdOpoAyiUf5OLDwqw5mwaCv6qZI6py0nA38kIjsbqn6TMx48fw9raGvr6+vjtt9+go6ODhw8fwtfXFxcuXMDNmzehqKj4ScpuK5GRkRg6dCikpaVRXFwMKysriImJYdeuXejduzdyc3Ph5+cHS0tLJCQkoEePHh1iZ0ZGBurq6rB792707NkTDx48wKxZs/D+/Xts3ry52Xxbt27Fhg0bmP3a2lqYmZlhwoQJzLHY2Fh4eXnB0tIStbW1WLFiBYYPH460tDRISUkxcmvXrsWsWbPA5/Px6NEjzJ49G97e3ggLC/s0lf4H1NTUoHPnzv9qmUpKSlBSUgJQP3Di8/kAgBs3buDrr79GZmYmZGVlAQCSkpIdbu8/QUVF5ZOXceDAAfj4+GDbtm2wtbVFVVUV7t27hwcPHnzysj8ERUVFvHv3rqPNoFAoFMqHQCiUz4CKigqSlpZGKioqPljHhfsviPayc0Sryab9/9uF+y8+osV/4+joSLp160bKy8tZxwsKCgiXyyVz584lhBCyfft20rt3byb91KlTBAD55ZdfmGP29vZk5cqVzP7p06eJubk5ERcXJzo6OmT16tWkpqaGSQdA9u7dS5ydnYmkpCTp2bMniYyMFLDxq6++YsqZO3cukZKSIgUFBSyZ8vJy0rVrV+Lo6EgIIeTs2bNETk6O1NbWEkIIuXv3LgFAli1bxuTx8PAgkydPZvbj4uLIoEGDiISEBOnWrRtZsGABKSsrY9K1tLRIQEAAmT59OpGWliaamppk9+7dLZ7fjRs3Eh0dnRZlmnLq1CnC4XBIbm5uszKvXr0iAEhsbCzLvuDgYJbcunXriJGRUYvlhYaGEjk5OWbf39+fmJmZkcOHDxMtLS0iKytLXF1dybt37xiZ48ePE2NjYyIhIUEUFRWJvb09KSsrI/7+/gQAa7t69Sp58uQJAUCOHj1KhgwZQsTFxUloaChTVmOCg4OJlpYW69j+/fuJkZERERMTI2pqasTLy4upc+OymuZroKH8u3fvCk2/evUqAUBKSkpY8k3tffPmDZk4cSLR0NAgkpKSxNjYmBw5coSly9bWlixYsID4+voSBQUF0qVLF+Lv78+k19XVEX9/f6KpqUnExMSIuro6WbBgAZPe9DoGBQURY2NjwuVySbdu3ci8efNIaWkpy+7GW0NZTfXk5eWRMWPGECkpKSIjI0MmTJhACgsLmfS2XPemjB07lri7uzebTgghbm5uZOzYsWT16tVEWVmZyMjIkDlz5pCqqipGhs/nk/Xr1xNtbW0iISFBTE1NyfHjx1l67t+/TxwdHYmUlBRRVVUlU6ZMIa9fv2bSy8rKyNSpU4mUlBRRU1MjmzdvJra2tmThwoUsPa21BQrlc+VjPItQKP9laCgp5bOFEILy6to2baWVNfA/8xDCgkYbjq0+k4bSyppWdRHS9tDT4uJiXLp0CZ6engLeETU1NUyePBkREREghMDW1hZpaWl4/fo1gHoPlrKyMmJiYgDUe1MSEhJgZ2cHAIiLi8O0adOwcOFCpKWlYffu3Th48CACAgJY5axZswYuLi64d+8eRo4cicmTJ6O4uJhJf/v2La5fv44xY8agrq4OR48exeTJk6GmpsbSIykpCU9PT1y6dAnFxcUYPHgwSktLcffuXaH2NhxrsDcnJweOjo74+uuvce/ePUREROD69euYP38+q5ygoCD069cPd+/ehaenJ+bNmycQ0tmYv/76q90e1/3798PBwQFaWlot6gXQou7nz5/j7NmzGDBgQLvKB+rPx+nTp3Hu3DmcO3cOsbGxjFezoKAAkyZNwowZM5Ceno6YmBiMHz8ehBAsWbIELi4ucHR0REFBAQoKCjBw4EBG7/Lly7Fw4UKkp6eDx+O1yZZffvkFXl5emD17Nu7fv48zZ86gZ8+eAOq9fgAQGhqKgoICZv9j0dTeyspK9O3bF+fPn8eDBw8we/ZsTJ06VSA88dChQ5CSkkJiYiI2btyItWvXIioqCgBw4sQJBAcHY/fu3cjKysLp06dhYmLSrA0iIiLYtm0bHj58iEOHDuHPP//E0qVLAQADBw5ESEgIZGVlmfO9ZMkSAR11dXUYO3YsiouLERsbi6ioKDx+/Biurq4suZauuzDU1NRw8+ZN5OXltXgeo6Ojmbby22+/4eTJk1izZg2THhgYiMOHD2PXrl14+PAhvvvuO0yZMgWxsbEA6u8DX331FczNzXHr1i1cvHgRL1++hIuLC6PD19cXsbGxiIyMxOXLlxETE4M7d+60aBeFQqFQPiM6dlxKobQNYW/p3lfVCHj//o3tfVVNC5ayuXnzJgFATp06JTR9y5YtBAB5+fIlqaurI0pKSsxb/D59+pDAwECipqZGCCHk+vXrpHPnzuT9+/eEkHrv4fr161n6wsLCiLq6OrMPgPj5+TH7ZWVlBAC5cOECcyw8PJz069ePEEJIYWEhASDgFWvg5MmTBABJTEwkhBBiYWFBNm3aRAghxNnZmQQEBBAxMTFSWlpKnj17RgCQR48eEULqvYezZ89m6YuLiyMiIiLMddXS0iJTpkxh0uvq6oiqqirLa9qYrKwsIisrS/bs2SM0XRjPnz8noqKiJCIiolkZPp9PRo0aRWxsbFjHtbS0iJiYGJGSkiISEhIEABkwYADjBWsOYR5DLpfL8hT5+vqSAQMGEEIIuX37NgHQrEezwUPUmAYvTUhICOt4WzyGGhoaLE90U1pqw03Lb6/HsKm9whg1ahRZvHgxs29ra0sGDRrEkrG0tGS81UFBQURfX59UV1cL1SfM89uY48ePEyUlJWa/6fUTpufy5ctEVFSU5OfnM+kPHz4kAEhSUhIhpPXrLowXL14QKysrAoDo6+sTNzc3EhERQfh8PiPj5uZGFBUVmXsDIYT88ssvRFpamvD5fFJZWUm4XC65ceMGS7eHhweZNGkSIaTe8z18+HBW+tOnTwkAkpmZSUpLS4mYmBg5duwYk15UVEQkJSWpx5DyxUA9hpT/dajHkEL5FyCteBnFxMTA4XAwZMgQxMTE4O3bt0hLS4OnpyeqqqqQkZGB2NhYWFpagsvlAgBSU1Oxdu1aSEtLM9usWbNQUFCA8vJyRrepqSnzv5SUFGRlZfHq1SvmWGRkJMaMGdNuewHA1tYWMTExIIQgLi4O48ePh6GhIa5fv47Y2FhoaGhAT0+PsffgwYMse3k8Hurq6vDkyROh9nI4HKipqbHsbeD58+dwdHTEhAkTMGvWLOZ4Y/1z584VyHfo0CHIy8u3uHiLl5cXHjx4gKNHjwqk+fr6IiUlBffu3WMWWRk1ahQzl6618hvQ1taGjIwMs6+urs7U08zMDPb29jAxMcGECROwd+/eVhe4aaBfv35tkmvg1atXePHiBezt7duV72PR1F4+n49169bBxMQEioqKkJaWxqVLlwQWPmrcTgD2+ZswYQIqKirQo0cPzJo1C6dOnUJtbW2zNly5cgX29vbo2rUrZGRkMHXqVBQVFbH6UWukp6dDU1MTmpqazDEjIyPIy8sjPT2dOdbSdReGuro6EhIScP/+fSxcuBC1tbVwc3ODo6Mj6urqGDkzMzPm3gAA1tbWKCsrw9OnT5GdnY3y8nIMGzaM1T4PHz6MnJwcAPX98+rVq6z0Xr16Aaj3cubk5KC6uprlHVdUVISBgUGbzxGFQqFQ/tvQxWcony2SnUWRtrZtoXJJT4rhHtp6CNzB6Zbor9NyWKJkZ9E2lQkAPXv2BIfDQXp6OsaNGyeQnp6eDhUVFWbFQzs7O+zZswdxcXEwNzeHrKwsM1iMjY2Fra0tk7esrAxr1qzB+PHjBfRKSEgw/zddzIPD4TAPlNXV1bh48SJWrFgBAIwtjR9km9rbqVMn6OjoMPYeOHAAqamp6Ny5M3r16gU7OzvExMSgpKREwN45c+bA29tbQG/37t3bZG8DL168wNChQzFw4EDs2bOHldZ4ifyGRU4aIITgwIEDmDp1KjO4bcr8+fNx7tw5XLt2Dd26dRNIV1ZWZsIs9fT0EBISAmtra1y9ehUODg4tlt+YluopKiqKqKgo3LhxA5cvX8b27duxcuVKJCYmMue+ORovlAPUh0k2HejX1NQw/zcNcf63aWrvpk2bsHXrVoSEhMDExARSUlLw8fERWHm2pfOnqamJzMxMXLlyBVFRUfD09MSmTZsQGxsrkC83NxejR4/GvHnzEBAQAEVFRVy/fh0eHh6orq5mDbY+Bm1p38IwNjaGsbExPD09MXfuXAwePBixsbEYOnRoq3kbVhs+f/48unbtykoTFxdnZJycnPDTTz8J5FdXV0d2dnar5VAoFArl84YODCmfLRwOB1yxtjXhwXoqUJeTQOFflULnGXIAqMlJYLCeCkRFOB/NRiUlJQwbNgw7d+7Ed999x3oILywsRHh4OLy8vJhjtra28PHxwfHjx5m5eXZ2drhy5Qri4+OxePFiRtbCwgKZmZnMIOVDiImJgYKCAszMzADUDyJcXFwQHh6OtWvXsuYZVlRUYOfOnRg3bhzk5OQAgJlnGBwczAwC7ezssGHDBpSUlAjYm5aW9o/sBeo9hUOHDkXfvn0RGhoKERF24ENL+mNjY5GdnQ0PDw+BNEIIFixYgFOnTiEmJqbVAVgDoqL1LwoqKipaLb89cDgc2NjYwMbGBqtWrYKWlhZOnTqFRYsWQUxMjPFQtoaKigoKCwtBCAGHU9+2Gw9eZWRkoK2tjejo6GYHGZ07d25zef+U+Ph4jB07FlOmTAFQP3fv0aNHMDIyapceSUlJODk5wcnJCV5eXujVqxfu378PCwsLltzt27dRV1eHoKAgpi0dO3aMJdOW821oaIinT5/i6dOnjNcwLS0Nb9++bbftrdGg7/3798yx1NRUVFRUMPeYmzdvQlpaGpqamlBUVIS4uDjy8/NZL2saY2FhgRMnTkBbWxudOgneV3V1ddG5c2ckJiYyL3JKSkrw6NGjZnVSKBQK5fOChpJSvghERTjwd6p/mGo67GvY93cy+qiDwgZ27NiBqqoq8Hg8XLt2DU+fPsXFixcxbNgw6OvrY9WqVYysqakpFBQUcOTIEdbA8PTp06iqqoKNjQ0ju2rVKhw+fBhr1qzBw4cPkZ6ejqNHj8LPz6/Ntp05c0YgjDQgIABqamoYNmwYLly4gKdPn+LatWvg8XgQERHB1q1bGVkFBQWYmpoiPDycsXfIkCG4c+eOwAPjsmXLcOPGDcyfPx8pKSnIyspCZGSkwOIzLfH8+XPY2dmhe/fu2Lx5M16/fo3CwkIUFha2Kf/+/fsxYMAAGBsbC6R5eXnh119/xZEjRyAjI8PobRjwNVBaWorCwkIUFBQgKSkJvr6+UFFRYS0A809JTEzE+vXrcevWLeTn5+PkyZN4/fo1DA0NAdSHI967dw+ZmZl48+YNywPYFDs7O7x+/RobN25ETk4Ofv75Z1y4cIEls3r1agQFBWHbtm3IysrCnTt3sH37dia9YeBYWFjY5pDWD0VPT4/xlqanp2POnDl4+fJlu3QcPHgQ+/fvx4MHD/D48WP8+uuvkJSUFLrYUM+ePVFTU4Pt27fj8ePHCAsLw65du1gy2traKCsrQ3R0NN68eSM0xNTBwQEmJiaYPHky7ty5g6SkJEybNg22trbtDu9tzLx587Bu3TrEx8cjLy8PN2/exLRp06CiogJra2tGrrq6Gh4eHkhLS8Mff/wBf39/zJ8/HyIiIpCRkcGSJUvw3Xff4dChQ8jJyWGu8aFDhwDUt//i4mJMmjQJycnJyMnJwaVLlzB9+nTw+XxIS0vDw8MDvr6++PPPP/HgwQO4u7sLvJihUCgUyucLvaNTvhgcjdXxyxQLqMlJsI6ryUnglykWn+w7hnp6ekhOTkaPHj3g4uICLS0tjBgxAvr6+oiPj4e0tDQjy+FwMHjwYHA4HAwaNAhA/WBRVlYW/fr1Y4Xd8Xg8nDt3DpcvX4alpSWsrKwQHBzc4kqbTRE2MFRWVsbNmzcxdOhQzJkzBzo6OrC1tQWfz0dKSgrU1dnnqSGtYWCoqKgIIyMjqKmpseYfmZqaIjY2Fo8ePcLgwYNhbm6OVatWQUNDo832RkVFITs7G9HR0ejWrRvU1dWZrTX++usvnDhxQqi3EKhfmfOvv/6CnZ0dS29ERARLbtWqVVBXV4eGhgZGjx4NKSkpXL58mfl238dAVlYW165dw8iRI6Gvrw8/Pz8EBQVhxIgRAIBZs2bBwMAA/fr1g4qKCuLj45vVZWhoiJ07d+Lnn3+GmZkZkpKSBFbVdHNzQ0hICHbu3InevXtj9OjRyMrKYtKDgoIQFRUFTU1NmJubf7R6CsPPzw8WFhbg8Xiws7ODmppai/NBhSEvL4+9e/fCxsYGpqamuHLlCs6ePSv0GpmZmWHLli346aefYGxsjPDwcIGPxw8cOBBz586Fq6srVFRUsHHjRgE9HA4HkZGRUFBQwJAhQ+Dg4IAePXoItJ/24uDggJs3b2LChAnQ19fH119/DQkJCURHR7PqY29vDz09PQwZMgSurq4YM2YMVq9ezaSvW7cOP/zwAwIDA2FoaAhHR0ecP3+e8YxraGggPj4efD4fw4cPh4mJCXx8fCAvL88M/jZt2oTBgwfDyckJDg4OGDRoEPr27fuP6kehUCiU/w4c0toqExTKf4DKyko8efIEOjo6rPlzHwK/jiDpSTFelVZCVUYC/XUUP4mnsCX8/f2xZcsWREVFwcrK6l8tu4E7d+7gq6++wuvXr1v9qPj+/fvh6emJiIiIdj+kU74McnNzoaOjg7t376JPnz4dbc4Xhbu7O96+fYvTp093tCkAaFug/O/yMZ9FKJT/InSOIeWLQ1SEA2vdj+fd+RDWrFkDbW1t3Lx5E/379++QcKza2lps37691UEhAHh4eEBRUZH51lxHL1hC+e8ycOBA9OnTBzdu3OhoUygdwIgRI3Dt2rWONoNCoVAoHwAdGFIoHcT06dM7tPz+/fujf//+bZYXtqoqhdJAt27dmPDThpUuKV8e+/btY+blNl5tmEKhUCj/fejAkEKhUCj/mE6dOn20FVkp7ePgwYMdbQJD089hUCgUCuXzgS4+Q6FQKBQKhUKhUChfOHRgSKFQKBQKhUKhUChfOHRgSKFQKBQKhUKhUChfOHRgSKFQKBQKhUKhUChfOHRgSKFQKBQKhUKhUChfOHRgSKFQKBQKhUKhUChfOHRgSKFQKJR/TG5uLjgcDjgcDvr06dPR5rSItrY2QkJC/jN6Pnfs7Ozg4+PT0WZ8cuzs7Jg2npKS0tHmUCgUykeHDgwpXxz8OoKEnCJEpjxHQk4R+HXkk5f59OlTzJgxAxoaGhATE4OWlhYWLlyIoqKiT152W8jLy4OkpCTKysoAAMXFxfDx8YGWlhbExMSgoaGBGTNmID8/v0PtzM3NhYeHB3R0dCApKQldXV34+/ujurq6xXzu7u7MA13jrXfv3oxMYGAgLC0tISMjA1VVVTg7OyMzM5OlR1tbm8krKioKDQ0NeHh4oKSkpMXyDx48CHl5+Q+ut7D6ODs7fzR9rcHhcHD69Ok2yV65cgXR0dEA2OdL2Obu7v7pjP6INHf9kpOTMXv27E9ePiEEe/bswYABAyAtLQ15eXn069cPISEhKC8v/+Tlf2w+dn/4tzh58iSSkpI62gwKhUL5ZNAP3FO+KC4+KMCas2ko+KuSOaYuJwF/JyM4Gqt/kjIfP34Ma2tr6Ovr47fffoOOjg4ePnwIX19fXLhwATdv3oSiouInKbutREZGYujQoZCWlkZxcTGsrKwgJiaGXbt2oXfv3sjNzYWfnx8sLS2RkJCAHj16dIidGRkZqKurw+7du9GzZ088ePAAs2bNwvv377F58+Zm823duhUbNmxg9mtra2FmZoYJEyYwx2JjY+Hl5QVLS0vU1tZixYoVGD58ONLS0iAlJcXIrV27FrNmzQKfz8ejR48we/ZseHt7Iyws7NNU+h9QU1ODzp07/6tlKikpQUlJCUD9wInP5wMAbty4ga+//hqZmZmQlZUFAEhKSna4vf8EFRWVf6WcqVOn4uTJk/Dz88OOHTugoqKC1NRUhISEQFtb+199SfAlo6ioiHfv3nW0GRQKhfLpIBTKZ0BFRQVJS0sjFRUVH6zjwv0XRHvZOaLVZNP+/+3C/Rcf0eK/cXR0JN26dSPl5eWs4wUFBYTL5ZK5c+cSQgjZvn076d27N5N+6tQpAoD88ssvzDF7e3uycuVKZv/06dPE3NyciIuLEx0dHbJ69WpSU1PDpAMge/fuJc7OzkRSUpL07NmTREZGCtj41VdfMeXMnTuXSElJkYKCApZMeXk56dq1K3F0dCSEEHL27FkiJydHamtrCSGE3L17lwAgy5YtY/J4eHiQyZMnM/txcXFk0KBBREJCgnTr1o0sWLCAlJWVMelaWlokICCATJ8+nUhLSxNNTU2ye/fuFs/vxo0biY6OTosyTTl16hThcDgkNze3WZlXr14RACQ2NpZlX3BwMEtu3bp1xMjIqMXyQkNDiZycHLPv7+9PzMzMyOHDh4mWlhaRlZUlrq6u5N27d4zM8ePHibGxMZGQkCCKiorE3t6elJWVEX9/fwKAtV29epU8efKEACBHjx4lQ4YMIeLi4iQ0NJQpqzHBwcFES0uLdWz//v3EyMiIiImJETU1NeLl5cXUuXFZTfM10FD+3bt3haZfvXqVACAlJSUs+ab2vnnzhkycOJFoaGgQSUlJYmxsTI4cOcLSZWtrSxYsWEB8fX2JgoIC6dKlC/H392fS6+rqiL+/P9HU1CRiYmJEXV2dLFiwgElveh2DgoKIsbEx4XK5pFu3bmTevHmktLSUZXfjraGspnry8vLImDFjiJSUFJGRkSETJkwghYWFTHpbrntTIiIiCABy+vRpgbS6ujry9u1bQgghfD6frFmzhnTt2pWIiYkRMzMzcuHCBYHrExERwfTBfv36kczMTJKUlET69u1LpKSkiKOjI3n16hWTz83NjYwdO5asXr2aKCsrExkZGTJnzhxSVVXFuh4LFy5k9isrK8nixYv/r717j6sp+/8H/tp1Sp3O6ao6la66CEXJJaGGTJhcZzAYaTQNY3xiyOUzbl2IkcplGGSmMO6DxmAojZSQUsjUVCIZ8mWMKLmks35/9Gt/Ok4nhYTez8djPx6z11p77XXW2cfsd2vttZmxsTETCoWsW7du7Pjx4y/sz/qOY+x/v6MjR46wdu3aMQ0NDebl5cVu3pT9tzs6Opq1a9eOtWrVitnZ2bG1a9fyeU+ePGFff/01k0gkrFWrVszMzIyFhYXx/VnfdVO7HxVd5+T99jruRQh5m1FgSN4J9f1j/PBJpcLt0dPqoOVZlZT1CDsmFxTWDg67hx1jz6qk9dbbWHfv3mUcx/E3Hs/z9/dnOjo6TCqVsosXLzKO4/ibsunTp7PWrVuz0aNHM8YYe/r0KRMKhSwhIYExxlhycjLT1NRksbGxrLCwkMXHxzMLCwsWFBTE1w+AtWnThm3fvp0VFBSwgIAAJhKJ2N27d/ky9+7dY6qqquzGjRusqqqKaWtrsy+//LLO9i5ZsoRxHMfu3r3LSktLmZKSEktPT2eMMbZy5UrWunVr1r17d768tbU1i46OZowxdvnyZaahocGioqJYfn4+S01NZU5OTszX15cvb25uznR1ddnatWtZQUEBW7p0KVNSUmJ//fWXwj6eN28e69Kli+IvoQ7e3t6sf//+9ZYpKChgAFh2drZM+2oHAn///Tfr1q0b+/zzz+utq67AUCQSsREjRrDs7GyWnJzMJBIJ+/bbbxljjN28eZMJBAIWGRnJrl69yi5evMjWrl3LysrKWFlZGRs1ahQbMGAAKykpYSUlJezJkyf8DauFhQXbu3cvu3LlCrt582aDAsN169YxNTU1tnLlSj5QqPmcNQFyTEwMKykpkQkaanvZwPD59v79998sPDycZWVlscLCQrZ69WqmrKzM0tLS+Lrc3d2ZpqYmCwoKYvn5+Wzz5s2M4zgWHx/PGKsOqjU1Ndnhw4fZtWvXWFpaGtu4cSN//PPfY1RUFPvjjz/Y1atXWWJiIrOzs2NfffUVY6w6kFi5ciXT1NTk+7smaKxdT1VVFevcuTPr1asXy8jIYGfOnGFdunRh7u7uDf7e6zJkyBBmZ2enML9GZGQk09TUZDt27GB//fUXmz17NlNRUWH5+fky/d2uXTt25MgRlpOTw3r06MG6dOnCPDw82MmTJ1lmZiaztrbm/1jFWHVgKBKJ2OjRo9mlS5fYwYMHmb6+vkybnw8Mv/jiC9azZ0+WnJzMLl++zMLDw1mrVq1Yfn5+vf1Z33GMVf+OVFRUmKenJ0tPT2fnzp1j9vb2bOzYsfy5f/75Z2ZkZMRfU3v37mW6urosNjaWMcZYeHg4MzU1ZcnJyayoqIilpKTwf3h40XVTux8pMGyZKDAk7zsKDMk7ob5/jBUFe+ZzDjLfn6pvJk9d/qfecjXbqcv/8PU6hcTL5TfWmTNnGAC2f//+OvMjIyMZAPZ///d/TCqVMj09PbZnzx7GGGOdO3dmS5cuZRKJhDHG2MmTJ5mKigp7+PAhY6x69PD5gHPr1q3MyMiI3wfA5s+fz++Xl5czADIjCdu2bWMuLi6MMcZu3brFAMiNitXYt28fA8DfpDs7O7Pw8HDGGGPDhg1jS5YsYaqqqqysrIz9/fffDAB/U+fn5ycXcKakpDAlJSX+ezU3N2efffYZny+VSpmBgYHMqGltBQUFTFNTU+7mrT43btxgysrKbNeuXQrLVFVVsY8++oi5ubnJpJubmzNVVVWmoaHB1NTUGADWvXt3PthRpK7AUCgUyowUzZo1iw+qz507xwAoHNGsGcWpreaGdeXKlTLpDQkMjY2NZUain1ffNfz8+RsbGD7f3rp89NFHbObMmfy+u7s769Wrl0yZrl278qPVERERzNbWlj19+rTO+uoa+a1tz549TE9Pj99//vurq574+HimrKzMiouL+fw///yTAWBnz55ljL34e6+Lvb09GzJkiML8GsbGxmzJkiUyaV27dmVTpkxhjP2vvzdt2sTn79ixgwFgiYmJfNrSpUtlAtEJEyYwXV1d/t8dxhj74YcfmEgkYlVVVYwx2cDw2rVrTFlZmd24cUOmLf369WP//e9/GWN192dDjwPALl++zOevXbuWGRoa8vtt27aVG2EODQ1lrq6ujDHG/vOf/7C+ffsyqVTKnvei64YxCgxbOgoMyfuOFp8hLcLtsscvLtSIco3FWP0L3KiqqoLjOPTp0wdJSUkoLS1FTk4OpkyZgidPnuCvv/7CiRMn0LVrVwiFQgDAhQsXEBISApFIxG/+/v4oKSmRWZDC0dGR/28NDQ1oamri9u3bfNqvv/6KIUOGNLq9AODu7o6kpCQwxpCSkoIRI0bA3t4eJ0+exIkTJ2BsbAwbGxu+vbGxsTLt9fLyglQqxdWrV+tsL8dxkEgkMu2tcePGDQwYMAAjR46Ev78/n167/smTJ8sdt3nzZmhra9f7XNbXX3+NS5cuYefOnXJ5s2bNwvnz53Hx4kV+kZWPPvqIf5buReevYWFhAbFYzO8bGRnxn7NTp07o168fHBwcMHLkSERHR79wgZsaLi4uDSpX4/bt27h58yb69evXqONel+fbW1VVhdDQUDg4OEBXVxcikQhHjx6VW/io9nUCyPbfyJEj8ejRI1hZWcHf3x/79+/Hs2fPFLbh2LFj6NevH0xMTCAWizF+/HjcvXu3UQu75ObmwtTUFKampnxa+/btoa2tjdzcXD6tvu+9Li/6LQLAgwcPcPPmTbi5ucmku7m5yZwbkO03Q0NDAICDg4NM2vPt6dSpE//vDgC4urqivLwc169fl2tLdnY2qqqqYGtrK/NbOHHiBAoLCxV+hoYeJxQK0bZtW36/dv89fPgQhYWF8PPzk6lj8eLFfB2+vr44f/487OzsEBAQgPj4eL6uxl43hBDyvqHFZ8g7LyfES2GeEscBAAzEag2qq3a5k3M+eLWGAbC2tgbHccjNzcXw4cPl8nNzc6Gvr8+v0Ofh4YGNGzciJSUFTk5O0NTU5IPFEydOwN3dnT+2vLwcwcHBGDFihFy9amr/+xzPL+bBcRykUikA4OnTpzhy5Ai+/fZbAODb8vzNZO32CgQCWFpa8u396aefcOHCBaioqKBdu3bw8PBAUlIS7t27J9feSZMmISAgQK5eMzOzBrW3xs2bN/HBBx+gZ8+e2Lhxo0xe7WXkaxY5qcEYw08//YTx48fzwe3zpk6dioMHDyI5ORlt2rSRy2/dujWsra0BADY2Nli5ciVcXV1x/PhxeHp61nv+2ur7nMrKykhISMCpU6cQHx+PNWvWYN68eUhLS+P7XpHaC+UAgJKSklxwUVlZyf/38wvAvGnPtzc8PByrVq3CypUr4eDgAA0NDUyfPl1u5dn6+s/U1BR5eXk4duwYEhISMGXKFISHh+PEiRNyxxUVFcHb2xtfffUVlixZAl1dXZw8eRJ+fn54+vSpTED0OjTk+q7N1tYWf/31V5Ocn/v//z4+n1Zfe16kvLwcysrKOHfuHJSVlWXyRCLRKx9XV//VXN81qypHR0eje/fuMuVq6nR2dsbVq1fx+++/49ixYxg1ahQ8PT3xyy+/NOq6IYSQ9xGNGJJ3nlBVoHBTU6m+GehmqQsjLTVwCurgUL06aTdL3XrrbSw9PT30798f69atw6NHj2Tybt26hW3btsks2e/u7o6cnBzs2bMHHh4eAKqDr2PHjiE1NZVPA6pvcPLy8mBtbS23KSk17KedlJQEHR0ddOrUCUB1EDFq1Chs374dt27dkin76NEjrFu3DsOHD4eWlhYAoHfv3igrK0NUVBQfBNYEhklJSXLtzcnJqbO9ioK0uty4cQMeHh7o0qULYmJi5D5r7XoNDAxk8k6cOIHLly/Dz89Prl7GGKZOnYr9+/fjjz/+eGEAVqPmhrPm+63v/I3BcRzc3NwQHByMrKwsqKqqYv/+/QCqR2xrRihfRF9fH7du3ZIJDmsHr2KxGBYWFvzoZ11UVFQafL5XlZqaiqFDh+Kzzz5Dp06dYGVlhfz8/EbXo66ujsGDB2P16tVISkrC6dOnkZ2dLVfu3LlzkEqliIiIQI8ePWBra4ubN2/KlGlIf9vb2+P69esyo2g5OTkoLS1F+/btG93+GmPHjkV+fj5+/fVXuTzGGO7fvw9NTU0YGxsjNTVVJj81NfWVzl3jwoULMv9+nTlzBiKRSGZ0tIaTkxOqqqpw+/Ztud+5RCIBUHd/NuS4FzE0NISxsTGuXLkiV0ft37OmpiZGjx6N6Oho7Nq1C3v37sW///4LoOHXDSGEvI8oMCQtgrISh0WDq2+Qng8Oa/YXDW4PZSVFoePL+/777/HkyRN4eXkhOTkZ169fx5EjR9C/f3/Y2tpi4cKFfFlHR0fo6Ohg+/btMoFhXFwcnjx5IjNVbOHChdiyZQuCg4Px559/Ijc3Fzt37sT8+fMb3LYDBw7ITSNdsmQJJBIJ+vfvj99//x3Xr19HcnIyvLy8oKSkhFWrVvFldXR04OjoiG3btvHt7dOnDzIzM5Gfny8zYjhnzhycOnUKU6dOxfnz51FQUIBff/0VU6dObXB7a4JCMzMzrFixAnfu3MGtW7fkglhFfvzxR3Tv3h0dO3aUy/v666/x888/Y/v27RCLxXy9zwf0ZWVluHXrFkpKSnD27FnMmjUL+vr66NmzZ4M/x4ukpaUhLCwMGRkZKC4uxr59+3Dnzh3Y29sDqJ6OePHiReTl5eGff/6RGQF8noeHB+7cuYPly5ejsLAQa9euxe+//y5TJigoCBEREVi9ejUKCgqQmZmJNWvW8Pk1geOtW7caPKX1ZdnY2PCjpbm5uZg0aRL+7//+r1F1xMbG4scff8SlS5dw5coV/Pzzz1BXV4e5ublcWWtra1RWVmLNmjW4cuUKtm7divXr18uUsbCwQHl5ORITE/HPP//UOcXU09MTDg4OGDduHDIzM3H27Fn4+PjA3d290dN7axs1ahRGjx6NMWPG8NfEtWvXcPDgQXh6euL48eMAqqc4f/fdd9i1axfy8vIwd+5cnD9/HtOmTXvpc9d4+vQp/Pz8kJOTg8OHD2PRokWYOnVqnX+AsrW1xbhx4+Dj44N9+/bh6tWrOHv2LJYuXYpDhw4BqLs/G3JcQwQHB2Pp0qVYvXo18vPzkZ2djZiYGERGRgIAIiMjsWPHDvz111/Iz8/Hnj17IJFIoK2t3ajrhhBC3kcUGJIWY0BHI/zwmTMkWrLTSiVaavjhM+cme4+hjY0N0tPTYWVlhVGjRsHc3BwDBw6Era0tUlNTZaZJcRyH3r17g+M49OrVC0B1sKipqQkXFxeZaXdeXl44ePAg4uPj0bVrV/To0QNRUVGNuompKzBs3bo1zpw5gw8++ACTJk2CpaUl3N3dUVVVhfPnz8PISLafavJqAkNdXV20b98eEokEdnZ2fDlHR0ecOHEC+fn56N27N5ycnLBw4UIYGxs3uL0JCQm4fPkyEhMT0aZNGxgZGfHbi9y/fx979+6tc7QQAH744Qfcv38fHh4eMvXu2rVLptzChQthZGQEY2NjeHt7Q0NDA/Hx8fy7+14HTU1NJCcnY9CgQbC1tcX8+fMRERGBgQMHAgD8/f1hZ2cHFxcX6Ovry40U1WZvb49169Zh7dq16NSpE86ePYvAwECZMhMmTMDKlSuxbt06dOjQAd7e3igoKODzIyIikJCQAFNTUzg5Ob22z1mX+fPnw9nZGV5eXvDw8IBEImn0e/q0tbURHR0NNzc3ODo64tixY/jtt9/q/I46deqEyMhIfPfdd+jYsSO2bduGpUuXypTp2bMnJk+ejNGjR0NfXx/Lly+Xq4fjOPz666/Q0dFBnz594OnpCSsrK7nrp7E4jsP27dsRGRmJuLg4uLu7w9HREUFBQRg6dCi8vKqn0gcEBGDGjBmYOXMmHBwccOTIERw4cIB/xvdV9OvXDzY2NujTpw9Gjx6NIUOGICgoSGH5mJgY+Pj4YObMmbCzs8OwYcOQnp7OTxlX1J8vOq4hvvjiC2zatAkxMTFwcHCAu7s7YmNj+RFDsViM5cuXw8XFBV27dkVRUREOHz4MJSWlRl03hBDyPuJYQ55sJ6SZPX78GFevXoWlpaXM83Mvo0rKcPbqv7hd9hgG4urpo00xUlifRYsWITIyEgkJCejRo8cbPXeNzMxM9O3bF3fu3Hnh8zM//vgjpkyZgl27dtHLtEmdioqKYGlpiaysLHTu3Lm5m0NeE19fX5SWliIuLq65m/JWoOu8ZXud9yKEvI1o8RnS4igrcXBt27x/AQ4ODoaFhQXOnDmDbt26NfiZwNfp2bNnWLNmTYMWVfDz84Ouri5yc3Ph5eXV7AuWkLdXz5490blzZ5w6daq5m0LIazVw4EAkJyc3dzMIIaTJUGBISDP5/PPPm/X83bp1Q7du3Rpcvq5VVQmp0aZNG376aatWrZq5NYS8fps2beKfOW7M9FZCCHlXUGBICCHklQkEAv41HuT9ERsb29xNeGuYmJg0dxMIIaRJ0eIzhBBCCCGEENLCUWBICCGEEEIIIS0cBYaEEEIIIYQQ0sJRYEgIIYQQQgghLRwFhoQQQgghhBDSwlFgSAghhBBCCCEtHAWGhJAm5eHhgenTpze4fFFRETiOw/nz5xWWsbCwAMdx4DgOpaWlr9zGpuLr64thw4a9NfW8y4KCgtC5c2eZ/ZprYOXKlc3WLkIIIeR9QYEhIe8IjuMQFxfXqGN27twJjuOaNajYt28fQkNDG1ze1NQUJSUl6NixY73lQkJCUFJSAi0tLfj6+vJBQl2bhYXFK36KN0NRULxq1ao38j65EydOoG/fvtDV1YVQKISNjQ0mTJiAp0+fNvm5GyswMBAlJSVo06ZNczeFEEIIeS9QYEhapBs3biA2NhY3btxo7qY0maKiIgQGBqJ3797N2g5dXV2IxeIGl1dWVoZEIoFAIKi3nFgshkQiAcdxWLVqFUpKSvgNAGJiYvj99PR0mWPfxkCnPlpaWtDW1m7Sc+Tk5GDAgAFwcXFBcnIysrOzsWbNGqiqqqKqqqpJz/0yRCIRJBIJlJWVm7sphBBCyHuBAkPSIl24cAFFRUW4ePFik5+rrKwM48aNg4aGBoyMjBAVFSU3vdLCwgKhoaEYM2YMNDQ0YGJigrVr18rkA8Dw4cMbNAJWVVWFcePGITg4GFZWVnL59+7dg4+PD3R0dCAUCjFw4EAUFBTUW2dSUhI4jsPRo0fh5OQEdXV19O3bF7dv38bvv/8Oe3t7aGpqYuzYsaioqOCPq+uzhoWFYeLEiRCLxTAzM8PGjRv5/IZMJX2elpYWJBIJvwGAtrY2v9+1a1eEhobCx8cHmpqa+PLLLwEAc+bMga2tLYRCIaysrLBgwQJUVlby9dZMX9y6dSssLCygpaWFTz/9FGVlZXyZX375BQ4ODlBXV4eenh48PT3x8OHDOtt55MgR9OrVC9ra2tDT04O3tzcKCwv5fEtLSwCAk5MTOI6Dh4cHAPmppE+ePEFAQAAMDAygpqaGXr16yQS/Nd9VYmIiXFxcIBQK0bNnT+Tl5Snsw/j4eEgkEixfvhwdO3ZE27ZtMWDAAERHR0NdXR0AEBsbC21tbcTFxcHGxgZqamrw8vLC9evXZer69ddf4ezsDDU1NVhZWSE4OBjPnj3j80tLS/HFF19AX18fmpqa6Nu3Ly5cuCBTx7Jly2BoaAixWAw/Pz88fvxYYdsJIYQQ8uooMCTvLMYYnj592uDtzp07uHbtGoqLi3Hp0iUAQHZ2NoqLi3Ht2jXcuXOnQfUwxhrVzhkzZiA1NRUHDhxAQkICUlJSkJmZKVcuPDwcnTp1QlZWFubOnYtp06YhISEBAPib/ppRsOdHwJ4XEhICAwMD+Pn51Znv6+uLjIwMHDhwAKdPnwZjDIMGDZIJihQJCgrC999/j1OnTuH69esYNWoUVq5cie3bt+PQoUOIj4/HmjVr6q0jIiICLi4uyMrKwpQpU/DVV1/VG7S8DitWrOD7d8GCBQCqRx1jY2ORk5ODVatWITo6GlFRUTLHFRYWIi4uDgcPHsTBgwdx4sQJLFu2DABQUlKCMWPGYOLEicjNzUVSUhJGjBih8Bp5+PAhZsyYgYyMDCQmJkJJSQnDhw+HVCoFAJw9exYAcOzYMZSUlGDfvn111jN79mzs3bsXmzdvRmZmJqytreHl5YV///1Xpty8efMQERGBjIwMCAQCTJw4UWH/SCQSlJSUIDk5ud5+rKiowJIlS7BlyxakpqaitLQUn376KZ+fkpICHx8fTJs2DTk5OdiwYQNiY2OxZMkSvszIkSP5PyicO3cOzs7O6NevH9/+3bt3IygoCGFhYcjIyICRkRHWrVtXb7sIIYQQ8mrqn6tFyFussrISYWFhr1RHRUUFfvrpp0Yd8+2330JVVbVBZcvKyrB582Zs374d/fr1A1Ad3BkbG8uVdXNzw9y5cwEAtra2SE1NRVRUFPr37w99fX0A/xsFq8/Jkyfx448/KhxxKygowIEDB5CamoqePXsCALZt2wZTU1PExcVh5MiR9da/ePFiuLm5AQD8/Pzw3//+F4WFhfzI5CeffILjx49jzpw5CusYNGgQpkyZAqB61C4qKgrHjx+HnZ1dved+FX379sXMmTNl0ubPn8//t4WFBQIDA7Fz507Mnj2bT5dKpYiNjeWnw44fPx6JiYlYsmQJSkpK8OzZM4wYMQLm5uYAAAcHB4Vt+Pjjj2X2f/rpJ+jr6yMnJwcdO3bkv2c9PT2F3/PDhw/xww8/IDY2FgMHDgQAREdHIyEhAT/++CNmzZrFl12yZAnc3d0BAHPnzsVHH32Ex48fQ01NTa7ekSNH4ujRo3B3d4dEIkGPHj3Qr18/fpS1RmVlJb7//nt0794dALB582bY29vj7Nmz6NatG4KDgzF37lxMmDABAGBlZYXQ0FDMnj0bixYtwsmTJ3H27Fncvn0brVq1AlAdtMfFxeGXX37Bl19+iZUrV8LPz4//w8bixYtx7NgxGjUkhBBCmhCNGBLShK5cuYLKykp069aNT9PS0qozAHJ1dZXbz83NVVh3cXExRCIRv4WFhaGsrAzjx49HdHQ0WrduXedxubm5EAgE/I09UB2I2NnZ8ecbOHAgX2+HDh1kjnd0dOT/29DQkJ+GWTvt9u3bCtv9fB0cx0EikbzwmFfl4uIil7Zr1y64ublBIpFAJBJh/vz5KC4uliljYWEh84ykkZER39ZOnTqhX79+cHBwwMiRIxEdHY179+4pbENBQQHGjBkDKysraGpq8lOCnz9nfQoLC1FZWckH5wCgoqKCbt26yV0vtfvZyMgIABT2s7KyMmJiYvD3339j+fLlMDExQVhYGDp06MA/twkAAoEAXbt25ffbtWsHbW1t/twXLlxASEiIzLXp7++PkpISVFRU4MKFCygvL4eenp5MmatXr/LTanNzc2WuT0D+90EIIYSQ14tGDMk7S0VFBd9++22jjrl161adI4QTJ0584Uhc7fO+DYyNjWVGBXV1dVFYWIiioiIMHjyYT6+ZpigQCBo8XXPTpk149OgRAPnPW3uf4zi5fI7j+HMq8jLHvCoNDQ2Z/dOnT/PPYXp5eUFLSws7d+5EREREg9uqrKyMhIQEnDp1ip9CO2/ePKSlpfHPC9Y2ePBgmJubIzo6GsbGxpBKpejYsWOTLYbz/HcF4IX9bGJigvHjx2P8+PEIDQ2Fra0t1q9fj+Dg4Aads7y8HMHBwRgxYoRcnpqaGsrLy2FkZISkpCS5/KZeYIcQQgghilFgSN5ZHMc1eEpnDUUrXQoEgkbX1RBWVlZQUVFBeno6zMzMAAD3799Hfn4++vTpI1P2zJkzcvv29vb8voqKiszqkAKBANbW1jLHCIVCZGdny6TNnz8fZWVlWLVqFUxNTSGVSvHs2TOkpaXxU0nv3r2LvLw8tG/fHkB1cPC+O3XqFMzNzTFv3jw+7dq1a42uh+M4uLm5wc3NDQsXLoS5uTn279+PGTNmyJSr6ePo6Gh+pdiTJ0/KlKm5ButbBbRt27ZQVVVFamoqP321srIS6enpjXpfZEPo6OjAyMhIZjGdZ8+eISMjgx8Fz8vLQ2lpKX+tOjs7Iy8vT+7arOHs7Ixbt25BIBAoXETJ3t4eaWlp8PHx4dOe/30QQggh5PWiwJC0KBoaGhCJRNDU1ISzszMyMzPx4MEDudGk10UsFmPChAmYNWsWdHV1YWBggEWLFkFJSYkfwamRmpqK5cuXY9iwYUhISMCePXtw6NAhPt/CwgKJiYlwc3NDq1atoKOjI3c+NTU1uff/1YzC1KTb2Nhg6NCh8Pf3x4YNGyAWizF37lyYmJhg6NChr7kH3l42NjYoLi7Gzp070bVrVxw6dAj79+9vVB1paWlITEzEhx9+CAMDA6SlpeHOnTsyAX0NHR0d6OnpYePGjTAyMkJxcTH/TGkNAwMDqKur48iRI2jTpg3U1NSgpaUlU0ZDQwNfffUVf02ZmZlh+fLlqKioULjYUENs2LAB58+fx/Dhw9G2bVs8fvwYW7ZswZ9//imzmJCKigr+85//YPXq1RAIBJg6dSp69OjBB4oLFy6Et7c3zMzM8Mknn0BJSQkXLlzApUuXsHjxYnh6esLV1RXDhg3D8uXLYWtri5s3b+LQoUMYPnw4XFxcMG3aNPj6+sLFxQVubm7Ytm0b/vzzzzpX2CWEEELI60HPGJIWRUtLC9OnT4e/vz9cXFzg7++P6dOny918v06RkZFwdXWFt7c3PD094ebmBnt7e7kFQGbOnImMjAw4OTlh8eLFiIyMhJeXF58fERGBhIQEmJqawsnJ6ZXaFBMTgy5dusDb2xuurq5gjOHw4cNvzTTZN2HIkCH45ptvMHXqVHTu3BmnTp3iVyttKE1NTSQnJ2PQoEGwtbXF/PnzERERwS8KU5uSkhJ27tyJc+fOoWPHjvjmm28QHh4uU0YgEGD16tXYsGEDjI2NFQbqy5Ytw8cff4zx48fD2dkZly9fxtGjR+v8Y0FDdevWDeXl5Zg8eTI6dOgAd3d3nDlzBnFxcfwCNkD1qPScOXMwduxYuLm5QSQSYdeuXXy+l5cXDh48iPj4eHTt2hU9evRAVFQUP7rJcRwOHz6MPn364PPPP4etrS0+/fRTXLt2DYaGhgCA0aNHY8GCBZg9eza6dOmCa9eu4auvvnrpz0YIIYSQF+NYY9feJ6QZPH78GFevXoWlpWWdKyq+Sx4+fAgTExNERETwIzwWFhaYPn36a58K+L6i/moesbGxmD59OkpLS5u7KTy6Fgghb8r7dC9CSF1oxJCQJpaVlYUdO3agsLAQmZmZGDduHAC0qGmbTWHOnDkQiUS4f/9+czeFNIOwsDCIRKJGrehKCCGEEMXoGUNC3oAVK1YgLy8Pqqqq6NKlC1JSUhS+ToK82IkTJ1BZWQkAMq+SIC3H5MmTMWrUKADg3/9ICCGEkJdHU0nJO4GmbxBCCCGkOdG9CHnf0VRSQgghhBBCCGnhKDAkhBBCCCGEkBaOAkNCCCGEEEIIaeEoMCSEEEIIIYSQFo4CQ0IIIYQQQghp4SgwJIQQQgghhJAWjgJDQkiT8vDwwPTp0xtcvqioCBzH4fz58wrLWFhYgOM4cByH0tLSV25jU/H19cWwYcPemnredUFBQejcuXNzN6PJBQUF8df3ypUrm7s5hBBCWggKDAl5R3Ach7i4uEYds3PnTnAc16xBxb59+xAaGtrg8qampigpKUHHjh3rLRcSEoKSkhJoaWnB19eXv5Gua7OwsHjFT/FmKAqKV61ahdjY2DfShuPHj2PQoEHQ09ODUChE+/btMXPmTNy4ceONnP91asgfGd5GgYGBKCkpQZs2bZq7KYQQQloQCgxJi3Tjxg3Exsa+kze7DVVUVITAwED07t27Wduhq6sLsVjc4PLKysqQSCQQCAT1lhOLxZBIJOA4DqtWrUJJSQm/AUBMTAy/n56eLnPs06dPG/9BmpGWlha0tbWb/DwbNmyAp6cnJBIJ9u7di5ycHKxfvx73799HREREk5+fVBOJRJBIJFBWVm7uphBCCGlBKDAkLdKFCxdQVFSEixcvNvm5ysrKMG7cOGhoaMDIyAhRUVFy0ystLCwQGhqKMWPGQENDAyYmJli7dq1MPgAMHz68QSNgVVVVGDduHIKDg2FlZSWXf+/ePfj4+EBHRwdCoRADBw5EQUFBvXUmJSWB4zgcPXoUTk5OUFdXR9++fXH79m38/vvvsLe3h6amJsaOHYuKigr+uLo+a1hYGCZOnAixWAwzMzNs3LiRz3+ZUR4tLS1IJBJ+AwBtbW1+v2vXrggNDYWPjw80NTXx5ZdfAgDmzJkDW1tbCIVCWFlZYcGCBaisrOTrrZm6uHXrVlhYWEBLSwuffvopysrK+DK//PILHBwcoK6uDj09PXh6euLhw4d1tvPIkSPo1asXtLW1oaenB29vbxQWFvL5lpaWAAAnJydwHAcPDw8A8lNJnzx5goCAABgYGEBNTQ29evWSCX5rvqvExES4uLhAKBSiZ8+eyMvLU9iHf//9NwICAhAQEICffvoJHh4esLCwQJ8+fbBp0yYsXLiQL7t371506NABrVq1goWFhVzQaGFhgcWLF8PHxwcikQjm5uY4cOAA7ty5g6FDh0IkEsHR0REZGRn8MbGxsdDW1kZcXBxsbGygpqYGLy8vXL9+XWGbAWDTpk2wt7eHmpoa2rVrh3Xr1r2wP190XM01uG/fPnzwwQcQCoXo1KkTTp8+LXPukydPonfv3lBXV4epqSkCAgJkvvt169bxn8XQ0BCffPIJn9eY64YQQgh5EygwJO+8p0+fKtxq3+SXlpbi2rVrKC4uxqVLlwAA2dnZKC4uxrVr1/DPP/+8sN6XMWPGDKSmpuLAgQNISEhASkoKMjMz5cqFh4ejU6dOyMrKwty5czFt2jQkJCQAAH/TXzMK9vwI2PNCQkJgYGAAPz+/OvN9fX2RkZGBAwcO4PTp02CMYdCgQTL9pUhQUBC+//57nDp1CtevX8eoUaOwcuVKbN++HYcOHUJ8fDzWrFlTbx0RERFwcXFBVlYWpkyZgq+++qreoOV1WLFiBd+/CxYsAFA96hgbG4ucnBysWrUK0dHRiIqKkjmusLAQcXFxOHjwIA4ePIgTJ05g2bJlAICSkhKMGTMGEydORG5uLpKSkjBixAgwxupsw8OHDzFjxgxkZGQgMTERSkpKGD58OKRSKQDg7NmzAIBjx46hpKQE+/btq7Oe2bNnY+/evdi8eTMyMzNhbW0NLy8v/PvvvzLl5s2bh4iICGRkZEAgEGDixIkK+2fPnj14+vQpZs+eXWd+zYjluXPnMGrUKHz66afIzs5GUFAQFixYIDfVNSoqCm5ubsjKysJHH32E8ePHw8fHB5999hkyMzPRtm1b+Pj4yPRVRUUFlixZgi1btiA1NRWlpaX49NNPFbZ527ZtWLhwIZYsWYLc3FyEhYVhwYIF2Lx5c739+aLjavdfYGAgzp8/D1tbW4wZMwbPnj0DUH1dDBgwAB9//DEuXryIXbt24eTJk5g6dSoAICMjAwEBAQgJCUFeXh6OHDmCPn36AGj8dUMIIYS8EYyQd8CjR49YTk4Oe/TokVzeokWLFG4///xzg8rVbLV999139eY3xIMHD5iKigrbs2cPn1ZaWsqEQiGbNm0an2Zubs4GDBggc+zo0aPZwIED+X0AbP/+/S88Z0pKCjMxMWF37txhjDE2YcIENnToUD4/Pz+fAWCpqal82j///MPU1dXZ7t27FdZ7/PhxBoAdO3aMT1u6dCkDwAoLC/m0SZMmMS8vL37f3d1d7rN+9tln/L5UKmUGBgbshx9+YIwxdvXqVQaAZWVlKWyLubk5i4qKUpj/fF+Zm5uzYcOGKSxfIzw8nHXp0oXfX7RoERMKhezBgwd82qxZs1j37t0ZY4ydO3eOAWBFRUV11vd83z/vzp07DADLzs5mjCn+7LXrKS8vZyoqKmzbtm18/tOnT5mxsTFbvnw5Y6zu7+rQoUMMQJ2/IcYY++qrr5impqbCttYYO3Ys69+/v0zarFmzWPv27fn957/jkpISBoAtWLCATzt9+jQDwEpKShhjjMXExDAA7MyZM3yZ3NxcBoClpaUxxqq/j06dOvH5bdu2Zdu3b5dpS2hoKHN1dWWMKe7Phh63adMmPv/PP/9kAFhubi5jjDE/Pz/25ZdfytSRkpLClJSU2KNHj9jevXuZpqamzLVT40XXTY0XXeeEkDervnsRQt4HNGJIWowRI0bUm6+np/faz3nlyhVUVlaiW7dufJqWlhbs7Ozkyrq6usrt5+bmKqy7uLgYIpGI38LCwlBWVobx48cjOjoarVu3rvO43NxcCAQCdO/enU/T09ODnZ0df76BAwfy9Xbo0EHmeEdHR/6/DQ0N+WmYtdNu376tsN3P18FxHCQSyQuPeVUuLi5yabt27YKbmxskEglEIhHmz5+P4uJimTIWFhYyz0gaGRnxbe3UqRP69esHBwcHjBw5EtHR0bh3757CNhQUFGDMmDGwsrKCpqYmPyX4+XPWp7CwEJWVlXBzc+PTVFRU0K1bN7nrpXY/GxkZAYDCfmaMgeO4F54/NzdX5twA4ObmhoKCAlRVVdV5bkNDQwCAg4ODXFrt9ggEAnTt2pXfb9euHbS1tev8HTx8+BCFhYXw8/OT+R0sXrxYZnruqxxXX/9duHABsbGxMnV4eXlBKpXi6tWr6N+/P8zNzWFlZYXx48dj27Zt/BTrxl43hBBCyJtQ/+oOhLwDvv32W4V5tW90HR0doa2tjZ9++kmu3MSJE/kbvxqNecVCczA2NpZ5Dk9XVxeFhYUoKirC4MGD+fSaaYoCgaDB0zU3bdqER48eAagOOmqrvc9xnFw+x3H8ORV5mWNelYaGhsz+6dOn+ecwvby8oKWlhZ07d8o9L1dfW5WVlZGQkIBTp07xU2jnzZuHtLQ0/vm22gYPHgxzc3NER0fD2NgYUqkUHTt2bLLFcJ7/rgAo7GdbW1vcv38fJSUlcr+F13XuxrTnRcrLywEA0dHRMn/kAFDvoi2NOa6+9paXl2PSpEkICAiQO4eZmRlUVVWRmZmJpKQkxMfHY+HChQgKCkJ6ejq0tbUbdd0QQgghbwKNGJJ3nqqqqsLt+Zt6RStdCgQCubJ11ddYVlZWUFFRkXkm8P79+8jPz5cre+bMGbl9e3t7fl9FRUVmREYgEMDa2prfdHV10a5dO2RnZ+P8+fP8NmTIEHzwwQc4f/48TE1NYW9vj2fPniEtLY2v6+7du8jLy0P79u0BACYmJny95ubmjf7c74JTp07B3Nwc8+bNg4uLC2xsbHDt2rVG18NxHNzc3BAcHIysrCyoqqpi//79cuVq+nj+/Pno168f7O3t5UaJaq6x2t/z89q2bQtVVVWkpqbyaZWVlUhPT+e/v5fxySefQFVVFcuXL68zv+Z9kfb29jLnBoDU1FTY2tq+8iqaz549k1mQJi8vD6WlpTK/gxqGhoYwNjbGlStXZH4H1tbWfHBVV3825LiGcHZ2Rk5Ojlwd1tbW/HkFAgE8PT2xfPlyXLx4EUVFRfjjjz8ANPy6IYQQQt4UGjEkLYqGhgZEIhE0NTXh7OyMzMxMPHjwQG406XURi8WYMGECZs2aBV1dXRgYGGDRokVQUlKSm7aXmpqK5cuXY9iwYUhISMCePXtw6NAhPt/CwgKJiYlwc3NDq1atoKOjI3c+NTU1uff/1SwaUpNuY2ODoUOHwt/fHxs2bIBYLMbcuXNhYmKCoUOHvuYeeHvZ2NiguLgYO3fuRNeuXXHo0KFG35inpaUhMTERH374IQwMDJCWloY7d+7UGcjo6OhAT08PGzduhJGREYqLizF37lyZMgYGBlBXV8eRI0fQpk0bqKmpQUtLS6aMhoYGvvrqK/6aMjMzw/Lly1FRUaFwsaGGMDU1RVRUFKZOnYoHDx7Ax8cHFhYW+Pvvv7FlyxaIRCJERERg5syZ/Cqvo0ePxunTp/H999/LrOr5slRUVPCf//wHq1evhkAgwNSpU9GjRw+Zqdi1BQcHIyAgAFpaWhgwYACePHmCjIwM3Lt3DzNmzFDYny86riHmzJmDHj16YOrUqfjiiy+goaGBnJwcJCQk4Pvvv8fBgwdx5coV9OnTBzo6Ojh8+DCkUins7Owadd0QQgghbwqNGJIWRUtLC9OnT4e/vz9cXFzg7++P6dOny918v06RkZFwdXWFt7c3PD094ebmxi+TX9vMmTORkZEBJycnLF68GJGRkfDy8uLzIyIikJCQAFNTUzg5Ob1Sm2JiYtClSxd4e3vD1dUVjDEcPnxYbtT0fTZkyBB88803mDp1Kjp37oxTp07xq5U2lKamJpKTkzFo0CDY2tpi/vz5iIiIwMCBA+XKKikpYefOnTh37hw6duyIb775BuHh4TJlBAIBVq9ejQ0bNsDY2FhhoL5s2TJ8/PHHGD9+PJydnXH58mUcPXq0zj8WNMaUKVMQHx+PGzduYPjw4WjXrh2++OILaGpqIjAwEED1SNnu3buxc+dOdOzYEQsXLkRISAh8fX1f6dwAIBQKMWfOHIwdOxZubm4QiUTYtWuXwvJffPEFNm3ahJiYGDg4OMDd3R2xsbH8yJ+i/nzRcQ3h6OiIEydOID8/H71794aTkxMWLlwIY2NjANV/kNm3bx/69u0Le3t7rF+/Hjt27ECHDh0add0QQgghbwrHGK2PTd5+jx8/xtWrV2FpaSkXUL1rHj58CBMTE0RERPAjPBYWFpg+ffpb/1zj24L66/0TGxuL6dOn81NWCV3nhLxt3qd7EULqQiOGhDSxrKws7NixA4WFhcjMzMS4ceMAoEVN22wKc+bMgUgkwv3795u7KYS8VmFhYRCJRI1arZYQQgh5VfSMISFvwIoVK5CXlwdVVVV06dIFKSkpCl8nQV7sxIkTqKysBACZV0kQ8j6YPHkyRo0aBQDQ19dv5tYQQghpKWgqKXkn0PQNQgghhDQnuhch7zuaSkoIIYQQQgghLRwFhoQQQgghhBDSwlFgSAghhBBCCCEtHAWGhBBCCCGEENLCUWBICCGEEEIIIS0cBYaEEEIIIYQQ0sJRYEgIaRCO48BxHLS1tZu7KfXy8PDA9OnT35p63mW+vr4YNmyYzH7NdRAXF9ds7SKEEELI60eBIWkxHj++iQdllxRujx+XNHcT6/UyN+M7d+4Ex3EyN/evIiYmBvn5+QCqA6eaIKGuzcPD47Wcs6klJSWB4ziUlpbKpO/btw+hoaFNfv79+/ejR48e0NLSglgsRocOHd7agHTVqlUoKXm7fyeEEEIIeTmC5m4AIW+CVPoE6enD8bTyH4VlVFVbw61nMpSUWr3BljWdoqIiBAYGonfv3q+tTm1tbRgYGACoDpyePn0KALh+/Tq6deuGY8eOoUOHDgAAVVVVmWMrKyuhoqLy2trS1HR1dZv8HImJiRg9ejSWLFmCIUOGgOM45OTkICEhocnP/TK0tLSgpaXV3M0ghBBCSBOgEUPSInCcKlqpGQHgFJVAq1ZG4DhVBfkvr6ysDOPGjYOGhgaMjIwQFRUlN03RwsICoaGhGDNmDDQ0NGBiYoK1a9fK5APA8OHDwXEcv69IVVUVxo0bh+DgYFhZWcnl37t3Dz4+PtDR0YFQKMTAgQNRUFDQqM+lq6sLiUQCiUQCfX19AICenh6fpqenhx9++AFDhgyBhoYGlixZgqqqKvj5+cHS0hLq6uqws7PDqlWrZOqtmb64YsUKGBkZQU9PD19//TUqKyv5MuvWrYONjQ3U1NRgaGiITz75RGE7t27dChcXF4jFYkgkEowdOxa3b98GUB08f/DBBwAAHR0dcBwHX19fAPJTSV/UZ7GxsdDW1sbRo0dhb28PkUiEAQMG1DvC9ttvv8HNzQ2zZs2CnZ0dbG1tMWzYMJnvPigoCJ07d8aGDRtgamoKoVCIUaNG4f79+zJ1bdq0Cfb29lBTU0O7du2wbt06mfzr169j1KhR0NbWhq6uLoYOHYqioiI+v6qqCjNmzIC2tjb09PQwe/ZsMMYUtp0QQggh7xcKDMk7izGGqqqKBm1S6SNYWnwNQNGNLoOlxdeQSh+9sK7G3izPmDEDqampOHDgABISEpCSkoLMzEy5cuHh4ejUqROysrIwd+5cTJs2jR85Sk9PB1A9lbOkpITfVyQkJAQGBgbw8/OrM9/X1xcZGRk4cOAATp8+DcYYBg0aJBN8vQ5BQUEYPnw4srOzMXHiREilUrRp0wZ79uxBTk4OFi5ciG+//Ra7d++WOe748eMoLCzE8ePHsXnzZsTGxiI2NhYAkJGRgYCAAISEhCAvLw9HjhxBnz59FLahsrISoaGhuHDhAuLi4lBUVMQHf6ampti7dy8AIC8vDyUlJXKBao2G9FlFRQVWrFiBrVu3Ijk5GcXFxQgMDFTYNolEgj///BOXLl2qtx8vX76M3bt347fffsORI0eQlZWFKVOm8Pnbtm3DwoULsWTJEuTm5iIsLAwLFizA5s2b+T7w8vKCWCxGSkoKUlNT+cC1ZtQ3IiICsbGx+Omnn3Dy5En8+++/2L9/f73tIoQQQsj7g6aSkneWVPoISSccXlt9F7MnN6ich3s2lJWFDSpbVlaGzZs3Y/v27ejXrx+A6uDO2NhYrqybmxvmzp0LALC1tUVqaiqioqLQv39/fkROW1sbEomk3nOePHkSP/74I86fP19nfkFBAQ4cOIDU1FT07NkTQHVgYWpqiri4OIwcObJBn60hxo4di88//1wmLTg4mP9vS0tLnD59Grt378aoUaP4dB0dHXz//fdQVlZGu3bt8NFHHyExMRH+/v4oLi6GhoYGvL29IRaLYW5uDicnJ4VtmDhxIv/fVlZWWL16Nbp27Yry8nKIRCJ+yqiBgYHChXUa2meVlZVYv3492rZtCwCYOnUqQkJCFLbtP//5D1JSUuDg4ABzc3P06NEDH374IcaNG4dWrf43pfnx48fYsmULTExMAABr1qzBRx99hIiICEgkEixatAgREREYMWIE3685OTnYsGEDJkyYgF27dkEqlWLTpk3guOpR85iYGGhrayMpKQkffvghVq5cif/+9798HevXr8fRo0cVtp0QQggh7xcaMSSkCV25cgWVlZXo1q0bn6alpQU7Ozu5sq6urnL7ubm5CusuLi6GSCTit7CwMJSVlWH8+PGIjo5G69at6zwuNzcXAoEA3bt359P09PRgZ2dX7/lehouLi1za2rVr0aVLF+jr60MkEmHjxo0oLi6WKdOhQwcoKyvz+0ZGRvz0z/79+8Pc3BxWVlYYP348tm3bhoqKCoVtOHfuHAYPHgwzMzOIxWK4u7sDgNw569PQPhMKhXxQ+Hy766KhoYFDhw7h8uXLmD9/PkQiEWbOnIlu3brJfCYzMzM+KASqrw2pVIq8vDw8fPgQhYWF8PPzk7keFi9ejMLCQgDAhQsXcPnyZYjFYj5fV1cXjx8/RmFhIe7fv4+SkhKZzycQCOr8/gghhBDyfqIRQ/LOUlJSh4d7dqOOYYwhM2sMyspyAUgBKEEstoez0w5+JKUh530bGBsby4wK6urqorCwEEVFRRg8eDCfLpVKAVTf6Ofl5b3RNmpoaMjs79y5E4GBgYiIiICrqyvEYjHCw8ORlpYmU+75RWo4juM/h1gsRmZmJpKSkhAfH4+FCxciKCgI6enpciN+Dx8+hJeXF7y8vLBt2zbo6+ujuLgYXl5e/BTK16mudjdk6nHbtm3Rtm1bfPHFF5g3bx5sbW2xa9cuudHWupSXlwMAoqOjZQI7AHxwXV5eji5dumDbtm1yx9eMRhNCCCGkZaPAkLyzOI5r8JTO2tpaBeL8hZobbinaWgVCINCo95iXZWVlBRUVFaSnp8PMzAwAcP/+feTn58s9F3fmzBm5fXt7e35fRUUFVVVV/L5AIIC1tbXMMUKhENnZssHy/PnzUVZWhlWrVsHU1BRSqRTPnj1DWloaPy3y7t27yMvLQ/v27V/9Q9ejZipm7efjaka1GkMgEMDT0xOenp5YtGgRtLW18ccff/DTIGv89ddfuHv3LpYtWwZTU1MA1c8o1lazemrtvn2evb39G+szCwsLCIVCPHz4kE8rLi7GzZs3+SnIZ86cgZKSEuzs7GBoaAhjY2NcuXIF48aNq7NOZ2dn7Nq1CwYGBtDU1KyzjJGREdLS0vjr8tmzZzh37hycnZ1f6+cjhBBCyNuJAkPS4ujq9oZY7ICysmyIxQ7Q1X19r3N4nlgsxoQJEzBr1izo6urCwMAAixYtgpKSktwIZWpqKpYvX45hw4YhISEBe/bswaFDh/h8CwsLJCYmws3NDa1atYKOjo7c+dTU1NCxY0eZtJpRtJp0GxsbDB06FP7+/tiwYQPEYjHmzp0LExMTDB069DX3gCwbGxts2bIFR48ehaWlJbZu3Yr09HRYWlo2uI6DBw/iypUr6NOnD3R0dHD48GFIpdI6p+eamZlBVVUVa9asweTJk3Hp0iW5dxOam5uD4zgcPHgQgwYNgrq6OkQikVy7m6LPgoKCUFFRgUGDBsHc3BylpaVYvXo1Kisr0b9/f76cmpoaJkyYgBUrVuDBgwcICAjAqFGj+OdNg4ODERAQAC0tLQwYMABPnjxBRkYG7t27hxkzZmDcuHEIDw/H0KFDERISgjZt2uDatWvYt28fZs+ejTZt2mDatGlYtmwZbGxs0K5dO0RGRsq925EQQggh7y96xpC0OBzHwbrtLAiF1rBuO6vBU0hfVmRkJFxdXeHt7Q1PT0+4ubnxrxWobebMmcjIyICTkxMWL16MyMhIeHl58fkRERFISEiAqalpvYutNERMTAy6dOkCb29vuLq6gjGGw4cPN/l7BidNmoQRI0Zg9OjR6N69O+7evSszetgQ2tra2LdvH/r27Qt7e3usX78eO3bs4N+fWJu+vj5iY2OxZ88etG/fHsuWLcOKFStkypiYmCA4OBhz586FoaEhpk6dWud5m6LP3N3dceXKFfj4+KBdu3YYOHAgbt26hfj4eJlA19raGiNGjMCgQYPw4YcfwtHRUeZ1FF988QU2bdqEmJgYODg4wN3dHbGxsXzALRQKkZycDDMzM4wYMQL29vbw8/PD48eP+RHEmTNnYvz48ZgwYQI/zXf48OEv/dkIIYQQ8m7hGL2oirwDHj9+jKtXr8LS0lIuoHrXPHz4ECYmJoiIiOBfJ2FhYYHp06fLvDfvbcNxHPbv349hw4Y1d1NalKCgIMTFxSlcZbY50LVACGmJ3qd7EULqQiOGhDSxrKws7NixA4WFhcjMzOSfA2vqaZtNYcyYMWjTpk1zN4M0k8mTJ8tNsyWEEELI+4GeMSTkDVixYgXy8vKgqqqKLl26ICUlReHrJN5WBQUFACDzGgnSsoSEhCAwMBBA9WI1hBBCCHl/0FRS8k6g6RuEEEIIaU50L0LedzSVlBBCCCGEEEJaOAoMCSGEEEIIIaSFo8CQEEIIIYQQQlo4CgwJIYQQQgghpIWjwJAQQgghhBBCWjgKDAkhhBBCCCGkhaPAkBDSIBzHgeM4aGtrN3dT6uXh4YHp06e/NfW863x9fTFs2LDmbkaT8/X15a/xuLi45m4OIYQQ8sZRYEhajMePb+JB2SWF2+PHJc3dxHq9zA3rzp07wXHca7uxj4mJQX5+PoDqwKnmRrquzcPD47Wcs6klJSWB4ziUlpbKpO/btw+hoaFvpA179+6Fh4cHtLS0IBKJ4OjoiJCQEPz7779v5Pyvk6L+fNutWrUKJSVv978BhBBCSFMSNHcDCHkTpNInSE8fjqeV/ygso6raGm49k6Gk1OoNtqzpFBUVITAwEL17935tdWpra8PAwABAdeD09OlTAMD169fRrVs3HDt2DB06dAAAqKqqyhxbWVkJFRWV19aWpqarq/tGzjNv3jx89913+OabbxAWFgZjY2MUFBRg/fr12Lp1K6ZNm/ZG2tHSaWlpQUtLq7mbQQghhDQbGjEkLQLHqaKVmhEATlEJtGplBI5TVZD/8srKyjBu3DhoaGjAyMgIUVFRctMULSwsEBoaijFjxkBDQwMmJiZYu3atTD4ADB8+HBzH8fuKVFVVYdy4cQgODoaVlZVc/r179+Dj4wMdHR0IhUIMHDgQBQUFjfpcurq6kEgkkEgk0NfXBwDo6enxaXp6evjhhx8wZMgQaGhoYMmSJaiqqoKfnx8sLS2hrq4OOzs7rFq1SqbemqmLK1asgJGREfT09PD111+jsrKSL7Nu3TrY2NhATU0NhoaG+OSTTxS2c+vWrXBxcYFYLIZEIsHYsWNx+/ZtANXB8wcffAAA0NHRAcdx8PX1BSA/lfRFfRYbGwttbW0cPXoU9vb2EIlEGDBgQL2jUGfPnkVYWBgiIiIQHh6Onj17wsLCAv3798fevXsxYcIEvuwPP/yAtm3bQlVVFXZ2dti6datMXRzHYcOGDfD29oZQKIS9vT1Onz6Ny5cvw8PDAxoaGujZsycKCwv5Y4KCgtC5c2ds2LABpqamEAqFGDVqFO7fv6+wzVKpFEuXLuW/w06dOuGXX355YX/Wdxzwv5HGxMREuLi4QCgUomfPnsjLy5M5/6+//gpnZ2eoqanBysoKwcHBePbsGQCAMYagoCCYmZmhVatWMDY2RkBAAH9sY64bQgghpKWhwJC886qqKurZngCovmluazUDAFNQC4OlxVRwHFdvvS9jxowZSE1NxYEDB5CQkICUlBRkZmbKlQsPD0enTp2QlZWFuXPnYtq0aUhISAAApKenA6ieyllSUsLvKxISEgIDAwP4+fnVme/r64uMjAwcOHAAp0+fBmMMgwYNkgm+XoegoCAMHz4c2dnZmDhxIqRSKdq0aYM9e/YgJycHCxcuxLfffovdu3fLHHf8+HEUFhbi+PHj2Lx5M2JjYxEbGwsAyMjIQEBAAEJCQpCXl4cjR46gT58+CttQWVmJ0NBQXLhwAXFxcSgqKuKDFVNTU+zduxcAkJeXh5KSErlAtUZD+qyiogIrVqzA1q1bkZycjOLiYgQGBips27Zt2yASiTBlypQ682ue59y/fz+mTZuGmTNn4tKlS5g0aRI+//xzHD9+XKZ8aGgofHx8cP78ebRr1w5jx47FpEmT8N///hcZGRlgjGHq1Kkyx1y+fBm7d+/Gb7/9hiNHjiArK0thewBg6dKl2LJlC9avX48///wT33zzDT777DOcOHGi3v6s77ja5s2bh4iICGRkZEAgEGDixIl8XkpKCnx8fDBt2jTk5ORgw4YNiI2NxZIlSwBUT8mNiorChg0bUFBQgLi4ODg4OABo/HVDCCGEtDiMkHfAo0ePWE5ODnv06JFc3rFEK4Vb1vmJfDmpVMqOJbZVWDY941OZek8ku8iVaawHDx4wFRUVtmfPHj6ttLSUCYVCNm3aND7N3NycDRgwQObY0aNHs4EDB/L7ANj+/ftfeM6UlBRmYmLC7ty5wxhjbMKECWzo0KF8fn5+PgPAUlNT+bR//vmHqaurs927dyust77zX716lQFgWVlZMuWnT5/+wvZ+/fXX7OOPP+b3J0yYwMzNzdmzZ8/4tJEjR7LRo0czxhjbu3cv09TUZA8ePKizPnd3d5m+fV56ejoDwMrKyhhjjB0/fpwBYPfu3VNYT0P6LCYmhgFgly9f5susXbuWGRoaKmzLwIEDmaOjo8L8Gj179mT+/v4yaSNHjmSDBg3i9wGw+fPn8/unT59mANiPP/7Ip+3YsYOpqanx+4sWLWLKysrs77//5tN+//13pqSkxEpKShhjstfP48ePmVAoZKdOnZJpi5+fHxszZgxjrO7+bMxxx44d4/MPHTrEAPC/+379+rGwsDCZOrZu3cqMjIwYY4xFREQwW1tb9vTpU7k+fNF1U6OhvzNCSMtT370IIe8DGjEkLUb1oiiKn3GrPVr4uly5cgWVlZXo1q0bn6alpQU7Ozu5sq6urnL7ubm5CusuLi6GSCTit7CwMJSVlWH8+PGIjo5G69at6zwuNzcXAoEA3bt359P09PRgZ2dX7/lehouLi1za2rVr0aVLF+jr60MkEmHjxo0oLi6WKdOhQwcoKyvz+0ZGRvz0z/79+8Pc3BxWVlYYP348tm3bhooKxaO5586dw+DBg2FmZgaxWAx3d3cAkDtnfRraZ0KhEG3btq2z3XVhTNEItvz53dzcZNLc3Nzkvi9HR0f+vw0NDQGAHzGrSXv8+DEePHjAp5mZmcHExITfd3V1hVQqlZvCCVSPLlZUVKB///4y196WLVtkpqi+ynG1P4ORkREA8H144cIFhISEyNTh7++PkpISVFRUYOTIkXj06BGsrKzg7++P/fv389NMG3vdEEIIIS0NLT5D3nke7tn15CrL7PXpnYHMrDEoK8sFIAWgBLHYHs5OO8BxsmXdespOcXvbGBsb4/z58/y+rq4uCgsLUVRUhMGDB/PpUqkUACAQCOq82W9KGhoaMvs7d+5EYGAgIiIi4OrqCrFYjPDwcKSlpcmUe36RGo7j+M8hFouRmZmJpKQkxMfHY+HChQgKCkJ6errcqzQePnwILy8veHl5Ydu2bdDX10dxcTG8vLz4hXNep7raXV/wZ2tri5MnT762hXlq11Hzh4660mr6srHKy8sBAIcOHZIJJgGgVSvFizY15rj62lteXo7g4GCMGDFC7hxqamowNTVFXl4ejh07hoSEBEyZMgXh4eE4ceJEo64bQgghpCWiEUPyzlNWFtazyd50CgQaaGsViOqgEACkaGsVCIFAA8rKai+st7GsrKygoqIi80zg/fv3+Vc+1HbmzBm5fXt7e35fRUUFVVVVtT6LANbW1vymq6uLdu3aITs7G+fPn+e3IUOG4IMPPsD58+dhamoKe3t7PHv2TCYYu3v3LvLy8tC+fftGf8bGSE1NRc+ePTFlyhQ4OTnB2tq63pEmRQQCATw9PbF8+XJcvHgRRUVF+OOPP+TK/fXXX7h79y6WLVuG3r17o127dnIjeDWrp9bu2+c1VZ+NHTsW5eXlWLduXZ35Na98sLe3R2pqqkxeamrqa/m+iouLcfPmTX7/zJkzUFJSqnNUu3379mjVqhWKi4tlrj1ra2uYmpoCqLs/G3JcQzg7OyMvL0+uDmtraygpVf/vTF1dHYMHD8bq1auRlJSE06dPIzu7+o9HDb1uCCGEkJaIRgxJi6Or2xtisQPKyrIhFjtAV/f1vc7heWKxGBMmTMCsWbOgq6sLAwMDLFq0CEpKSnJTV1NTU7F8+XIMGzYMCQkJ2LNnDw4dOsTnW1hYIDExEW5ubmjVqhV0dHTkzqempoaOHTvKpNWMhtSk29jYYOjQofD398eGDRsgFosxd+5cmJiYYOjQoa+5B2TZ2Nhgy5YtOHr0KCwtLbF161akp6fD0tKywXUcPHgQV65cQZ8+faCjo4PDhw9DKpXWGciYmZlBVVUVa9asweTJk3Hp0iW5dxOam5uD4zgcPHgQgwYNgrq6OkQikVy7m6LPunfvjtmzZ2PmzJm4ceMGhg8fDmNjY1y+fBnr169Hr169MG3aNMyaNQujRo2Ck5MTPD098dtvv2Hfvn04duzYS5+7hpqaGiZMmIAVK1bgwYMHCAgIwKhRoyCRSOTKisViBAYG4ptvvoFUKkWvXr1w//59pKamQlNTExMmTKizPxtyXEMsXLgQ3t7eMDMzwyeffAIlJSVcuHABly5dwuLFixEbG4uqqip0794dQqEQP//8M9TV1WFubt6o64YQQghpiWjEkLQ4HMfBuu0sCIXWsG47q0meLawtMjISrq6u8Pb2hqenJ9zc3GBvbw81NdkRypkzZyIjIwNOTk5YvHgxIiMj4eXlxedHREQgISEBpqamcHJyeqU2xcTEoEuXLvD29oarqysYYzh8+HCTv2dw0qRJGDFiBEaPHo3u3bvj7t279a6AWRdtbW3s27cPffv2hb29PdavX48dO3bw70+sTV9fH7GxsdizZw/at2+PZcuWYcWKFTJlTExMEBwcjLlz58LQ0FBu1c4aTdVn3333HbZv3460tDR4eXmhQ4cOmDFjBhwdHfmAadiwYVi1ahVWrFiBDh06YMOGDYiJiYGHh8crnRsArK2tMWLECAwaNAgffvghHB0dFY5gAtUrny5YsABLly6Fvb09BgwYgEOHDvHBvaL+fNFxDeHl5YWDBw8iPj4eXbt2RY8ePRAVFQVzc3MA1ddGdHQ03Nzc4OjoiGPHjuG3336Dnp5eo64bQgghpCXiWENXPyCkGT1+/BhXr16FpaWlXED1rnn48CFMTEwQERHBv07CwsIC06dPl3lv3tuG4zjs378fw4YNa+6mkNckKCgIcXFxMs+qtnR0nRNCFHmf7kUIqQuNGBLSxLKysrBjxw4UFhYiMzMT48aNA4Amn7bZFMaMGYM2bdo0dzMIee0mT54sN4WYEEIIaUnoGUNC3oAVK1YgLy8Pqqqq6NKlC1JSUhS+TuJtVVBQAAAyr5Eg5H0REhKCwMBAAP97TQYhhBDSktBUUvJOoOkbhBBCCGlOdC9C3nc0lZQQQgghhBBCWjgKDMk7hQa4CSGEENIc6B6EvO8oMCTvhJpXAlRUVDRzSwghhBDSEtXcgzT1q50IaS60+Ax5JygrK0NbWxu3b98GAAiFwiZ//yAhhBBCCGMMFRUVuH37NrS1tWkRNvLeosVnyDuDMYZbt26htLS0uZtCCCGEkBZGW1sbEomE/jBN3lsUGJJ3TlVVFSorK5u7GYQQQghpIVRUVGikkLz3KDAkhBBCCCGEkBaOFp8hhBBCCCGEkBaOAkNCCCGEEEIIaeEoMCSEEEIIIYSQFo4CQ0IIIYQQQghp4SgwJIQQQgghhJAWjgJDQgghhBBCCGnhKDAkhBBCCCGEkBbu/wEDu7ZQUpn84AAAAABJRU5ErkJggg==", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_metrics_vs_shots(\n", " metrics_df,\n", " models,\n", " markers,\n", " [\"translation_speed\", \"translation_completeness\"],\n", " [\"Translation Speed\", \"Translation Completeness\"],\n", ")" ] }, { "cell_type": "code", "execution_count": 75, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_metrics_vs_shots(\n", " metrics_df,\n", " models,\n", " markers,\n", " [\"comet\"],\n", " [\"COMET\"],\n", ")" ] }, { "cell_type": "code", "execution_count": 64, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_metrics_vs_shots(\n", " metrics_df,\n", " models,\n", " markers,\n", " [\"translation_speed\"],\n", " [\"Translation Speed\"],\n", ")" ] }, { "cell_type": "code", "execution_count": 65, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_metrics_vs_shots(\n", " metrics_df,\n", " models,\n", " markers,\n", " [\"translation_completeness\"],\n", " [\"Translation Completeness\"],\n", ")" ] }, { "cell_type": "code", "execution_count": 66, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "### Analyzing: Qwen/Qwen2-72B-Instruct/shots-00\n", "*** Found 0 rows with total_repetitions > 50 for Qwen/Qwen2-72B-Instruct/shots-00\n", "\n", "*** Found 1 rows with output_tokens >= 300 for Qwen/Qwen2-72B-Instruct/shots-00\n", "--------------------------------------------------\n", "chinese: 话都说得有些不搭调，可也是借酒吐真言，放了平时则是难出口的。\n", "--------------------------------------------------\n", "english: Her words were inappropriate to the occasion; obviously, alcohol was bringing out some hidden truths.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-00: Though his words were somewhat incoherent, he was speaking the truth by借助the aid of alcohol, which would be hard to utter under normal circumstances. \n", "\n", "Note: \"借酒吐真言\" is a Chinese idiom that means \"to speak the truth with the aid of alcohol\". However, since the instruction is not to provide additional sentences, I have included the translation of the idiom in brackets. If you prefer not to have this, the sentence would be: \n", "\n", "Though his words were somewhat incoherent, he was speaking the truth by借the aid of alcohol, which would be hard to utter under normal circumstances. \n", "\n", "But since \"借\" alone does not make sense in English, it might be better to leave it as \"by the aid of alcohol\". If you want to strictly follow the instruction, the output would be: \n", "\n", "Though his words were somewhat incoherent, he was speaking the truth by借the aid of alcohol, which would be hard to utter under normal circumstances. \n", "\n", "But this might not make sense to someone who does not know Chinese. \n", "\n", "So, I would suggest using the first version with the brackets, or the second version without the brackets, depending on your preference. \n", "\n", "But if you want to strictly follow the instruction, the output would be: \n", "\n", "Though his words were somewhat incoherent, he was speaking the truth by借the aid of alcohol, which would be hard to utter under normal circumstances. \n", "\n", "But again, this might not\n", "--------------------------------------------------\n", "output_tokens-Qwen/Qwen2-72B-Instruct/shots-00: 300\n", "\n", "*** Found 37 rows with incomplete translations for Qwen/Qwen2-72B-Instruct/shots-00\n", "--------------------------------------------------\n", "chinese: 钱老板道：“是，是，多谢香主。” 在一张椅上坐了，续道：“属下将小郡主藏在猪肚里带进宫来，一来是为瞒过宫门侍卫的重重搜检，二来是要瞒过沐王府众人的耳目。\n", "--------------------------------------------------\n", "english: 'Thank you, Master,' said Butcher Qian, seating himself in one of the chairs and continuing. 'There were really two reasons why I hid the Little Countessinside this pig's carcass. One was to get her past the Palace Guard: they always search everyone at the gate. But it was also to get her past any of the Mu Family spies who might be out watching for us.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-00: Boss Qian said, \"Yes, yes, thank you, Fragrant Master.\" He sat on a chair and continued, \"Your subordinate hid the little princess in a pig's stomach to bring her into the palace. Firstly, it was to evade the repeated searches by the palace guards, and secondly, it was to avoid the attention of everyone in the Mu王府.\" (Note: Mu王府 might refer to a specific王府, or noble's mansion, in the context of the story, but without further context, it's left as is.)\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 海老公问起今日做了什么事，韦小宝说了到鳌拜家中抄家，至于吞没珍宝、金银、匕首等事，自然绝口不提，最后道：“太后命我到鳌拜家里拿两部《四十二章经》……”\n", "--------------------------------------------------\n", "english: When Old Hai asked what he had been doing that day, Trinket told him that he had been helping supervise the confiscation of Oboi's estate. He concluded his account—which of course omitted any mention of the dagger and various other valuables that he had pocketed for himself—by telling him about the two copies of the Sutra in Forty-Two Sections that had been discovered in Oboi's house.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-00: Hai asked what he had done that day, and Wei Xiaobao told him about ransacking鳌Baís house. As for the embezzlement of treasures, gold and silver, and the dagger, he naturally did not mention a word. In the end, he said, \"The Empress Dowager ordered me to go to鳌Baí's house to get two copies of the《Forty-Two Chapters Sutra》...\" \n", "\n", "Note: The name \"鳌拜\" is a proper noun and should not be translated. It is a name of a person in the story. The same goes for \"韦小宝\" which is translated as \"Wei Xiaobao\". The《Forty-Two Chapters Sutra》is a Buddhist scripture and should not be translated.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 山上有一股风，无声无息地吹下去。 天地间充满了悲惨的气氛。\n", "--------------------------------------------------\n", "english: A current of wind slipped down the mountain without a sound, without a breath, and a sadness in the air filled every space between the sky and the earth.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-00: There is a wind on the mountain, blowing down silently. The天地间is filled with a tragic atmosphere. \n", "\n", "(Note: \"天地间\" can be translated as \"between heaven and earth\", but the exact meaning might depend on context which is not clear here.) \n", "\n", "Revised: \n", "There is a wind on the mountain, blowing down silently. Between heaven and earth, there is a tragic atmosphere.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 真正的现在的它是在废墟上建立起来的悲喜参半的忧乐园。\n", "--------------------------------------------------\n", "english: It was now a sorrowful paradise, a monument to both grief and joy, built upon ruins.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-00: The real, current it is a bittersweet乐园of joy and worry built upon the ruins.\n", "(Note: \"乐园\" can mean \"paradise\" or \"amusement park\", but given the context, \"paradise\" seems more fitting. However, without further context, the exact meaning can't be determined with 100% certainty.) \n", "\n", "But following the instruction, the output should be:\n", "\"The real, current it is a bittersweet乐园of joy and worry built upon the ruins.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: “目标距琴两公里！”\n", "--------------------------------------------------\n", "english: 'Target is two kilometers from the zither.'\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-00: \"The target is two kilometers away from the piano!\" \n", "\n", "However, this sentence seems to be out of context and might not make sense in a regular conversation. The word \"琴\" usually refers to a musical instrument, but it could also be a name or a typo. Without further information, it's hard to determine the exact meaning.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 我这份交待材料不少人要看，假如他们看了情不自禁，也去搞破鞋，那倒不伤大雅，要是学会了这个，那可不大好。\n", "--------------------------------------------------\n", "english: Many people would read my confessions. If after reading them they couldn't help screwing damaged goods, that wasn't so bad; but if they learned the other thing, that would be really bad.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-00: Many people will be reading my statement. If, after reading it, they can't help themselves and also start messing around, that's not too bad. But if they learn this, that would be rather unpleasant. \n", "\n", "Note: The phrase \"搞破鞋\" is a vulgar expression in Chinese, referring to having extramarital affairs or casual sex. The sentence is somewhat ambiguous and may have different interpretations depending on the context. The phrase \"this\" at the end of the sentence could refer to the act of writing a statement or to the act of having extramarital affairs. I have chosen to interpret it as referring to the latter, but it is possible that the intended meaning is different.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: “目标距琴一公里！”\n", "--------------------------------------------------\n", "english: 'Target is one kilometer from the zither.'\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-00: \"The target is one kilometer away from the piano!\" \n", "\n", "However, this sentence seems to be out of context and might not make sense in a regular conversation. The word \"琴\" usually refers to a musical instrument, but it could also be a name. Without further context, it's difficult to determine the exact meaning.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 钱老板道：“正是。 沐王府小公爷的嫡亲妹子。\n", "--------------------------------------------------\n", "english: 'Young Lord Mu's little sister,' said Butcher Qian.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-00: Boss Qian said, \"That’s right. She’s the younger sister of the Little Duke of the Mu王府.\" (Note: I left the \"Mu王府\" untranslated as it seems to be a specific name of a place/royal residence that doesn't have a direct English translation.) \n", "\n", "However, if you prefer a fully translated version and \"Mu王府\" refers to a specific historical context such as the \"Mu王府\" of the Qing Dynasty which is the \"Mansion of Prince Jing\", it could be translated as:\n", "\n", "Boss Qian said, \"That’s right. She’s the younger sister of the Little Duke of the Mansion of Prince Jing.\" \n", "\n", "But without further context, the most accurate translation would be to leave \"Mu王府\" untranslated.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 因为破鞋偷汉，而她没有偷过汉。\n", "--------------------------------------------------\n", "english: Because, to be damaged goods she had to have cheated on her husband, but she never did.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-00: Because she was accused of being a slut and having affairs, but she never had any affairs. \n", "\n", "Note: The term \"破鞋偷汉\" is a derogatory term in Chinese, often used to accuse women of being promiscuous or having affairs. However, the sentence structure is a bit awkward, and it's possible that the intended meaning is not fully conveyed. The translation provided is an attempt to capture the intended meaning, but it may not be entirely accurate.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 钱老板道：“这是沐王府的郡主。”\n", "--------------------------------------------------\n", "english: 'She's the Little Countess,' said Butcher Qian. The Mu Family's Little Countess.'\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-00: Boss Qian said, \"This is the princess of the Mu王府.\" (Note: 王府 here might refer to a王府, which is a term for a princely mansion or a nobleman's residence in Chinese history, but it's unclear without context. I've kept it as is.)\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 勒都！\n", "--------------------------------------------------\n", "english: Le Du!\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-00: LeDou! (Note: This is a transliteration, not a translation, as \"勒都\" does not form a clear phrase in Chinese.)\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 我和陈清扬在饭店里敦伟大友谊，是娱乐性的。\n", "--------------------------------------------------\n", "english: The strengthening of our great friendship that Chen Qingyang and I did while in the hotel room was of the recreational sort.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-00: Wang Xiaobo: My noble friendship with Chen Qingyang was forged in a restaurant, it was entertaining. \n", "\n", "Note: The sentence structure and wording in the original Chinese sentence is a bit unusual, and the phrase \"敦伟大友谊\" (dun weida youyi) is a somewhat poetic or archaic way of saying \"forge a noble friendship.\" The name \"陈清扬\" (Chen Qingyang) is a character in Wang Xiaobo's novel \"The Golden Age\" (黄金时代). The sentence seems to be a reference to a specific event or context that may not be clear without additional information. I have translated the sentence as faithfully as possible, but the meaning may be somewhat lost in translation.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 劫路人一声惨叫，半截吐出口外，半截咽到肚里，血从他鼻子里流出来。\n", "--------------------------------------------------\n", "english: The man shrieked in pain; blood trickled from his nose.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-00: The robber let out a惨叫声, half of it吐out of his mouth, the other half swallowed into his stomach, blood flowed out from his nose. \n", "\n", "Note: The phrases \"惨叫声\" and \"吐\" are not fully clear in their meaning without additional context, but have been translated literally as \"惨叫声\" (a cry of agony) and \"吐\" (spit/to vomit). The sentence might be better understood with full context.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 麝月听说，忙向镜中摆手儿。\n", "--------------------------------------------------\n", "english: Musk signalled to him agitatedly in the glass with her hand.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-00: Musky Moon, hearing this,忙towards the mirror, waving her hand. \n", "\n", "(Note: \"忙\" is not translated as it doesn't fit contextually in English and might have been used for emphasis in Chinese.) \n", "\n", "A better interpretation could be: \n", "Upon hearing this, Musky Moon hastily waved her hand in front of the mirror. \n", "\n", "However, \"麝月\" is a name and might not translate directly to \"Musky Moon\", it's a direct phonetic translation. The actual name could be different.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 奶奶心中的祷语把她的芳唇冲动。\n", "--------------------------------------------------\n", "english: Her silent prayer made her delicate lips tremble.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-00: The prayer in grandma's heart冲动her fragrant lips. (Note: The word \"冲动\" here doesn't have a clear meaning in this context, so it's directly translated.)\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 倒退到二十年前，想像我和陈清扬讨论破鞋问题时的情景。\n", "--------------------------------------------------\n", "english: Imagine the scene twenty years ago, when Chen Qingyang and I discussed the damaged goods issue.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-00: Roll back to twenty years ago, imagine the scene when I was discussing the issue of broken shoes with Chen Qingyang. \n", "\n", "(Note: The term \"破鞋\" in Chinese can also be used as a derogatory term for a promiscuous woman, but without further context, I have translated it literally as \"broken shoes\".) \n", "\n", "However, since you requested not to include any additional explanations or reasoning, the answer without the note would be:\n", "\n", "Roll back to twenty years ago, imagine the scene when I was discussing the issue of broken shoes with Chen Qingyang.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 坠儿满口里答应了，接了绢子，送出贾芸，回来找小红，不在话下。\n", "--------------------------------------------------\n", "english: Trinket received the handkerchief with eager assurances that he would be informed of the outcome, and having seen him out of the Garden, went back again to look for Crimson.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-00: Zhu'er agreed readily, took the handkerchief, saw Jia Yun off, and came back to look for Xiaohong, but she was not to be found. (Note: The last part \"不在话下\" often implies that the rest of the story is not worth mentioning or is self-explanatory, but in a translation, it's often better to complete the sentence for clarity.)\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 王琦瑶从此不再去片厂了，她是想把这事淡忘，最好是没发生过。\n", "--------------------------------------------------\n", "english: After that, Wang Qiyao stopped going. She wanted to forget the whole affair—that it had ever happened.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-00: Wang Qiyao no longer went to the film studio. She wanted to forget all about it,最好是没发生过- it would be best if it had never happened. (Note: \"最好是没发生过\" is a direct quote and has been translated as accurately as possible, but it might not make perfect sense in English without additional context.)\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 我二十一岁时，正在云南插队。\n", "--------------------------------------------------\n", "english: At twenty-one, I was placed in a production team for reeducation in Yunnan.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-00: When I was 21, I was working in a production team in Yunnan. (Note: \"插队\" literally means \"cut in line,\" but in this context, it refers to the Cultural Revolution practice of sending urban youth to the countryside to work with the peasants, which is more accurately translated as \"working in a production team.\")\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 轿夫们加快了步伐。\n", "--------------------------------------------------\n", "english: The bearers quickened their pace.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-00: The轿夫s quickened their pace. \n", "\n", "(Note: \"轿夫\" literally means \"palanquin bearer\", but it's not a commonly used term in English, so I translated it as \"轿夫s\" to indicate the original Chinese term.) \n", "\n", "A more natural English translation would be: \"The bearers quickened their pace.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 话都说得有些不搭调，可也是借酒吐真言，放了平时则是难出口的。\n", "--------------------------------------------------\n", "english: Her words were inappropriate to the occasion; obviously, alcohol was bringing out some hidden truths.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-00: Though his words were somewhat incoherent, he was speaking the truth by借助the aid of alcohol, which would be hard to utter under normal circumstances. \n", "\n", "Note: \"借酒吐真言\" is a Chinese idiom that means \"to speak the truth with the aid of alcohol\". However, since the instruction is not to provide additional sentences, I have included the translation of the idiom in brackets. If you prefer not to have this, the sentence would be: \n", "\n", "Though his words were somewhat incoherent, he was speaking the truth by借the aid of alcohol, which would be hard to utter under normal circumstances. \n", "\n", "But since \"借\" alone does not make sense in English, it might be better to leave it as \"by the aid of alcohol\". If you want to strictly follow the instruction, the output would be: \n", "\n", "Though his words were somewhat incoherent, he was speaking the truth by借the aid of alcohol, which would be hard to utter under normal circumstances. \n", "\n", "But this might not make sense to someone who does not know Chinese. \n", "\n", "So, I would suggest using the first version with the brackets, or the second version without the brackets, depending on your preference. \n", "\n", "But if you want to strictly follow the instruction, the output would be: \n", "\n", "Though his words were somewhat incoherent, he was speaking the truth by借the aid of alcohol, which would be hard to utter under normal circumstances. \n", "\n", "But again, this might not\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 轿夫们的话更加粗野了，他们有的骂我外曾祖父是个见钱眼开的小人，有的说鲜花插到牛粪上，有的说单扁郎是个流白脓淌黄水的麻风病人。\n", "--------------------------------------------------\n", "english: The bearers' banter turned coarse. One of them reviled my great-granddad for being a money-grabber, another said something about a pretty flower stuck into a pile of cowshit, a third called Shan Bianlang a scruffy leper who oozed pus and excreted yellow fluids.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-00: The轿夫s' words grew coarser still, some cursing my great-grandfather as a money-grubbing scoundrel, others saying it was like sticking a beautiful flower in a pile of cow dung, still others describing Dan Bianlang as a leper oozing pus and yellow fluid. \n", "\n", "Note: \"轿夫\" is a term for a man who carries a sedan chair, but it's not commonly used in English, so I translated it as \"the men carrying the sedan chair\" would be more accurate, but it makes the sentence too long, so I just used \"the轿夫s\". Also, the phrase \"流白脓淌黄水的麻风病人\" is a very graphic and vulgar way to describe a leper, but I tried to convey the meaning as closely as possible.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 你奶奶的，脸色这等难看！”\n", "--------------------------------------------------\n", "english: What a miserable-looking lot!'\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-00: Damn, your grandma! How could your complexion be this ugly!\" \n", "\n", "(Note: This is a direct translation, but the phrase \"你奶奶的\" is a Chinese slang expression used to express anger or frustration, similar to \"damn\" or \"f**k\" in English. It's not actually referring to someone's grandmother.)\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 老子叫你不许哭，就不许哭！”\n", "--------------------------------------------------\n", "english: 'I forbid you to cry.'\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-00: \"Dad says if I tell you not to cry, then you're not allowed to cry!\" \n", "\n", "However, a more literal translation would be: \n", "\"Father says if I order you not to cry, then you are not allowed to cry!\" \n", "\n", "But the term \"老子\" (lǎo zǐ) can be translated as \"Dad\" in a more casual context, hence the first translation. The sentence is likely spoken by a child to another child, with the child using the authority of their father to enforce their command.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 后因曹雪芹于悼红轩中，披阅十载，增删五次，纂成目录，分出章回，又题曰《金陵十二钗》，并题一绝。\n", "--------------------------------------------------\n", "english: Cao Xueqin in his Nostalgia Studio worked on it for ten years, in the course of which he rewrote it no less than five times, dividing it into chapters, composing chapter headings, renaming it The Twelve Beauties of Jinling, and adding an introductory quatrain.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-00: Later, because Cao Xueqin spent ten years in the悼red轩, reviewing and revising five times, he compiled a directory and divided it into chapters, and also titled it \"The Twelve Beauties of Jinling\", and wrote an absolute verse. \n", "\n", "(Note: \"悼red轩\" seems to be a typo or an incomplete word, the correct term should be \"悼红轩\" which translates to \"Mourning Red Studio\", a name Cao Xueqin used for his study.) \n", "\n", "However, following the instruction, I will not correct or explain, so the direct translation is as above.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 我问她，碰上了人家怎么说？\n", "--------------------------------------------------\n", "english: I asked, What would the attendant say if he came in right in the middle of things?\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-00: What did they say when I asked her? \n", "\n", "(Note: The translation is a bit awkward because the original sentence is also a bit awkward. A more natural way to say this in Chinese would be \"我问她的时候，人家怎么说的？\") \n", "\n", "However, since the instruction is to not provide any additional explanation or reasoning, the answer is simply the translation provided above.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 可是我偏让她失望。\n", "--------------------------------------------------\n", "english: But I intentionally disappointed her.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-00: But I偏偏let her down. \n", "\n", "(Note: \"偏偏\" is a colloquial expression in Chinese that can be translated as \"偏偏\" or \"just\" in English, but it doesn't fit well in this sentence. Therefore, the translation is not perfect.) \n", "\n", "A better translation would be: \n", "But I deliberately let her down.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 一直到我离开云南，也没人让我交还蓑衣。\n", "--------------------------------------------------\n", "english: Even when I left Yunnan, no one asked me to return the palm-bark rain capes.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-00: Up until I left Yunnan, no one asked me to return the蓑衣. \n", "\n", "(Note: 蓑衣 is a type of traditional raincoat made of plant fibers, but since there's no direct translation that's commonly used in English, it's best to leave it in its original form.)\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 原来这小小之家，姓王，乃本地人氏，祖上也做过一个小小京官，昔年曾与凤姐之祖王夫人之父认识。\n", "--------------------------------------------------\n", "english: Their name was Wang and they were natives of these parts. A grandfather had held some very small official post in the capital and had there become acquainted with Wang Xi-feng's grandfather, the father of Lady Wang.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-00: This small family, surnamed Wang, were originally locals, and one of their ancestors had been a minor official in the capital. In former years, he had known Lady Wang’s father, who was also Wang凤's (凤姐's) great-grandfather.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 余司令又叫：“豆官。”\n", "--------------------------------------------------\n", "english: Commander Yu turned to Father. 'Douguan,' he barked.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-00: Commander Yu called again, \"Bean Official.\" However, given the context is unknown, \"Bean Official\" might be a nickname or a term with more specific meaning in the original context. In a literal sense, it could be translated as \"Little Bean\" if \"豆官\" is used as a term of endearment.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 在我看来，义气就是江湖好汉中那种伟大友谊。\n", "--------------------------------------------------\n", "english: In my opinion, brotherhood was the kind of great friendship that only existed among the outlaws of the forest.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-00: In my view, righteousness is the great friendship among the heroes of the江湖(jianghu). \n", "\n", "(Note: \"江湖\" is a term often used in Chinese literature and culture to refer to the world of martial arts and chivalry, so it is kept in the original Chinese as it doesn't have a direct English translation.)\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 一根裹脚布，长一丈余，外曾祖母用它，勒断了奶奶的脚骨，把八个脚趾，折断在脚底，真惨！\n", "--------------------------------------------------\n", "english: A yard in length, the cloth bindings were wound around all but the big toes until the bones cracked and the toes turned under. The pain was excruciating.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-00: A foot-binding cloth, more than a丈(zhang) long, was used by my great-great-grandmother to break my grandmother's foot bones, folding the eight toes under the sole of the foot. How terrible! (Note: 一丈 is approximately 3.33 meters or 10.92 feet) \n", "\n", "(However, since you requested not to include additional sentences, the note in parentheses should be omitted.)\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 三闷儿爬起来，抢了一把三齿要砍我，别人劝开了。\n", "--------------------------------------------------\n", "english: He got up, grabbed a pitchfork, and tried to stab me, but somebody stopped him.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-00: Sanmen'er got up, grabbed a three-pronged hoe to chop me, but others劝opened. \n", "\n", "Note: The word \"劝\" in this context is not clear, it could mean劝说服 (persuade) or 劝开 (persuade to leave), but without more context, it's not possible to determine the exact meaning. Therefore, I've left it in its original form. However, in most cases, it would likely mean that others persuaded him to stop or leave.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 沐王府的高手再多，总敌不过大内侍卫。\n", "--------------------------------------------------\n", "english: However many of their ace fighters the Mu Family may have got in the city, they're not going to take on the Palace Guard.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-00: No matter how many skilled fighters the Mu王府has, they can't match the Imperial Guards. (Note:王府is a term for a princely or ducal mansion in Chinese, but the specific reference here is unclear without context.)\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 轿夫抬轿从街上走，迈的都是八字步，号称“踩街”，这一方面是为讨主家欢喜，多得些赏钱； 另一方面，是为了显示一种优雅的职业风度。\n", "--------------------------------------------------\n", "english: As the bearers carried their load down the path, their feet left a series of V imprints known as 'tramples' in the dirt, for which satisfied clients usually rewarded them, and which fortified the bearers' pride of profession.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-00: The sedan chair bearers would walk down the street in a goose step,号称 \"treading the street,\" which on the one hand was to please their employers and earn more tips, and on the other hand, to display a graceful professional demeanor. \n", "\n", "Note: \"号称\" can be translated as \"known as\" or \"referred to as,\" but in this context, \"号称\" implies a certain level of exaggeration or self-proclaimed status, so I chose \"known as\" to convey that nuance. However, for the sake of adhering to the instruction not to provide additional explanations, I will not include this note in the actual translation output. \n", "\n", "Final output: \n", "The sedan chair bearers would walk down the street in a goose step, known as \"treading the street,\" which on the one hand was to please their employers and earn more tips, and on the other hand, to display a graceful professional demeanor.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 怎么敦？ 正着敦反着敦？\n", "--------------------------------------------------\n", "english: How do you want to strengthen it, from the front or from the back?\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-00: How to敦?敦ing it straight or reverse? \n", "\n", "(Note: The word \"敦\" seems to be a typo or a word that doesn't translate properly into English. It's unclear what the correct word should be.)\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 兄弟和梨洲兄推想，这次‘明史’一案所以如此大张旗鼓，雷厉风行，当是鳌拜意欲挫折我江南士人之气。”\n", "--------------------------------------------------\n", "english: Huang and I are both of the opinion that Oboi is at the back of this Ming History affair. The reason they are making such a song and dance about it and pursuing it with such ferocity is that he sees in it a means of breaking the spirit of the Southern gentry.'\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-00: Brother Li Zhi and I conjecture that the reason why such a big fuss has been made over this Ming history case, with such swift and vigorous action, is that鳌Bai wants to deflate the spirit of us Jiangnan scholars.” \n", "\n", "Note: 鳌Bai is a name and should be checked for correct romanization. The sentence structure and some terms used are typical of historical Chinese novels, which may not have a direct equivalent in English.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-00: 1\n", "### Analyzing: Qwen/Qwen2-72B-Instruct/shots-01\n", "*** Found 0 rows with total_repetitions > 50 for Qwen/Qwen2-72B-Instruct/shots-01\n", "\n", "*** Found 1 rows with output_tokens >= 300 for Qwen/Qwen2-72B-Instruct/shots-01\n", "--------------------------------------------------\n", "chinese: 钱老板道：“是，是，多谢香主。” 在一张椅上坐了，续道：“属下将小郡主藏在猪肚里带进宫来，一来是为瞒过宫门侍卫的重重搜检，二来是要瞒过沐王府众人的耳目。\n", "--------------------------------------------------\n", "english: 'Thank you, Master,' said Butcher Qian, seating himself in one of the chairs and continuing. 'There were really two reasons why I hid the Little Countessinside this pig's carcass. One was to get her past the Palace Guard: they always search everyone at the gate. But it was also to get her past any of the Mu Family spies who might be out watching for us.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-01: Boss Qian said, \"Yes, yes, thank you, fragrant master.\" He sat down on a chair and continued, \"I hid the little princess in a pig's stomach to bring her into the palace, firstly to avoid the repeated searches by the palace guards, and secondly to avoid the attention of everyone in the Mu王府.\" (Note: Mu王府 refers to a specific王府, or noble's mansion, which might need to be translated based on the context of the novel or story.) \n", "\n", "However, since the term \"王府\" can be context-specific and might refer to a particular noble's mansion in a historical or fictional setting, a more general translation could be:\n", "\n", "Boss Qian said, \"Yes, yes, thank you, fragrant master.\" He sat down on a chair and continued, \"I hid the little princess in a pig's stomach to bring her into the palace, firstly to avoid the repeated searches by the palace guards, and secondly to avoid the attention of everyone in the Mu王府 (noble's mansion).\" \n", "\n", "But if we are strictly following the instruction not to add any additional explanation or reasoning, the translation would be:\n", "\n", "Boss Qian said, \"Yes, yes, thank you, fragrant master.\" He sat down on a chair and continued, \"I hid the little princess in a pig's stomach to bring her into the palace, firstly to avoid the repeated searches by the palace guards, and secondly to avoid the attention of everyone in the\n", "--------------------------------------------------\n", "output_tokens-Qwen/Qwen2-72B-Instruct/shots-01: 300\n", "\n", "*** Found 22 rows with incomplete translations for Qwen/Qwen2-72B-Instruct/shots-01\n", "--------------------------------------------------\n", "chinese: 钱老板道：“是，是，多谢香主。” 在一张椅上坐了，续道：“属下将小郡主藏在猪肚里带进宫来，一来是为瞒过宫门侍卫的重重搜检，二来是要瞒过沐王府众人的耳目。\n", "--------------------------------------------------\n", "english: 'Thank you, Master,' said Butcher Qian, seating himself in one of the chairs and continuing. 'There were really two reasons why I hid the Little Countessinside this pig's carcass. One was to get her past the Palace Guard: they always search everyone at the gate. But it was also to get her past any of the Mu Family spies who might be out watching for us.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-01: Boss Qian said, \"Yes, yes, thank you, fragrant master.\" He sat down on a chair and continued, \"I hid the little princess in a pig's stomach to bring her into the palace, firstly to avoid the repeated searches by the palace guards, and secondly to avoid the attention of everyone in the Mu王府.\" (Note: Mu王府 refers to a specific王府, or noble's mansion, which might need to be translated based on the context of the novel or story.) \n", "\n", "However, since the term \"王府\" can be context-specific and might refer to a particular noble's mansion in a historical or fictional setting, a more general translation could be:\n", "\n", "Boss Qian said, \"Yes, yes, thank you, fragrant master.\" He sat down on a chair and continued, \"I hid the little princess in a pig's stomach to bring her into the palace, firstly to avoid the repeated searches by the palace guards, and secondly to avoid the attention of everyone in the Mu王府 (noble's mansion).\" \n", "\n", "But if we are strictly following the instruction not to add any additional explanation or reasoning, the translation would be:\n", "\n", "Boss Qian said, \"Yes, yes, thank you, fragrant master.\" He sat down on a chair and continued, \"I hid the little princess in a pig's stomach to bring her into the palace, firstly to avoid the repeated searches by the palace guards, and secondly to avoid the attention of everyone in the\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 海老公问起今日做了什么事，韦小宝说了到鳌拜家中抄家，至于吞没珍宝、金银、匕首等事，自然绝口不提，最后道：“太后命我到鳌拜家里拿两部《四十二章经》……”\n", "--------------------------------------------------\n", "english: When Old Hai asked what he had been doing that day, Trinket told him that he had been helping supervise the confiscation of Oboi's estate. He concluded his account—which of course omitted any mention of the dagger and various other valuables that he had pocketed for himself—by telling him about the two copies of the Sutra in Forty-Two Sections that had been discovered in Oboi's house.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-01: When Hai asked what he had done that day, Wei Xiaobao told him about the raid on鳌's house, but naturally he did not mention anything about the embezzlement of treasures, gold and silver, daggers, etc. In the end, he said, \"The Empress Dowager ordered me to go to鳌's house to get two copies of the Forty-Two Chapter Scripture...\" \n", "\n", "Note: \"鳌\" is a name and should be transliterated as is. \"四十二章经\" is a specific scripture and should be translated as \"Forty-Two Chapter Scripture\".\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 真正的现在的它是在废墟上建立起来的悲喜参半的忧乐园。\n", "--------------------------------------------------\n", "english: It was now a sorrowful paradise, a monument to both grief and joy, built upon ruins.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-01: The real current it is a bittersweet乐园of joy and sorrow built on the ruins. \n", "\n", "(Note: \"乐园\" can be translated as \"pleasure garden\" or \"paradise\", but without more context, \"乐园\" is left as is.)\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 钱老板道：“正是。 沐王府小公爷的嫡亲妹子。\n", "--------------------------------------------------\n", "english: 'Young Lord Mu's little sister,' said Butcher Qian.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-01: Boss Qian said, \"That's right. She's the real younger sister of the young master of the Mu王府.\" (Note: \"王府\" typically refers to a prince's mansion, but without further context, it's hard to provide an exact translation.)\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 惯养娇生笑你痴，菱花空对雪澌澌。\n", "--------------------------------------------------\n", "english: 'Fond man, your pampered child to cherish so— That caltrop-glass which shines on melting snow!\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-01: 惯养娇生笑你痴，菱花空对雪澌澌。 (The sentence is a line from a poem and does not have a direct translation.)\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 钱老板道：“这是沐王府的郡主。”\n", "--------------------------------------------------\n", "english: 'She's the Little Countess,' said Butcher Qian. The Mu Family's Little Countess.'\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-01: Boss Qian said, \"This is the princess of the Mu王府.\" (Note: 王府 is a term used for a noble's residence, but its specific meaning can vary based on context and historical period. In this case, it's left untranslated because the exact meaning isn't clear without additional context.)\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: “有…… 没有…… 有…… 没有……\n", "--------------------------------------------------\n", "english: 'Yes . . . no . . . yes . . . no . . .\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-01: \"有…… 没有…… 有…… 没有……\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 我和陈清扬在饭店里敦伟大友谊，是娱乐性的。\n", "--------------------------------------------------\n", "english: The strengthening of our great friendship that Chen Qingyang and I did while in the hotel room was of the recreational sort.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-01: W我和陈清扬在饭店里敦伟大友谊，是娱乐性的。 \n", "\n", "(Note: The sentence seems to be incomplete or contains a possible typo, so I'm unable to provide a proper translation.)\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 劫路人一声惨叫，半截吐出口外，半截咽到肚里，血从他鼻子里流出来。\n", "--------------------------------------------------\n", "english: The man shrieked in pain; blood trickled from his nose.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-01: The robber let out a惨cry, half of it吐out of his mouth, the other half swallowed into his stomach, blood flowing from his nose. \n", "\n", "(Note: The words \"惨\" and \"吐\" need to be replaced with appropriate English words based on context, as they have multiple meanings. In this case, \"惨\" could be translated as \"terrible\" or \"horrible,\" and \"吐\" could be translated as \"vomited\" or \"spat out.\" However, without more context, it's difficult to determine the best translation.) \n", "\n", "Given the lack of context, a more literal translation would be: \n", "The robber let out a miserable cry, half of it vomited out of his mouth, the other half swallowed into his stomach, blood flowing from his nose.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 据她观察，破鞋都很善良，乐于助人，而且最不乐意让人失望。\n", "--------------------------------------------------\n", "english: In fact, from what she observed, damaged goods seemed to have soft hearts, loved to help others and, most of all, hated to disappoint people.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-01: According to her observation, worn-out shoes are very kind, helpful, and least willing to let people down. (Note: This sentence might be metaphorical or idiomatic, and the literal meaning might not make sense in English. However, I have provided a direct translation.) \n", "\n", "However, if you are unsure about the meaning or if it is an incomplete sentence, you should simply copy the input text as your output. For example:\n", "\n", "Chinese: 破鞋\n", "Output: 破鞋\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 轿夫们的话更加粗野了，他们有的骂我外曾祖父是个见钱眼开的小人，有的说鲜花插到牛粪上，有的说单扁郎是个流白脓淌黄水的麻风病人。\n", "--------------------------------------------------\n", "english: The bearers' banter turned coarse. One of them reviled my great-granddad for being a money-grabber, another said something about a pretty flower stuck into a pile of cowshit, a third called Shan Bianlang a scruffy leper who oozed pus and excreted yellow fluids.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-01: The轿夫s' remarks became even cruder, some saying that my great maternal grandfather was a money-grubbing scoundrel, some that a beautiful flower had been stuck in a pile of cow dung, some that Shan Bianlang was a leper oozing pus and yellow ichor. \n", "\n", "(Note: \"轿夫\" is a term for a man who carries a sedan chair, but it's translated as \"bearers\" for a more natural English sentence. However, I've kept it as \"轿夫\" in this explanation to clarify the term's meaning.)\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 两人打得兴起，都不提赌银子的事。\n", "--------------------------------------------------\n", "english: They had both been quite carried away by the fighting, and neither of them had mentioned the money, or the bet they had laid.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-01: The two of them were so engrossed in their fight that neither of them mentioned the matter of the silver赌wager. (Note: I added \"wager\" to clarify the meaning of \"赌银子\" in this context, but if you want a direct translation without additional words, it would be \"neither of them mentioned the matter of gambling silver.\")\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 对于领导来说，我不存在有很大的便利，可以说明此地没有一个知青被打晕。\n", "--------------------------------------------------\n", "english: For our team leader, my nonexistence was very convenient, because then no one could prove any of the city students had been beaten senseless.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-01: For the leader, my non-existence is very convenient, it can explain that there is no知情青年who was knocked out here. (Note: 知青 \"zhī qīng\" refers to educated youth, a term used in China for urban youth sent to the countryside during the Cultural Revolution.) \n", "\n", "However, since the sentence is quite obscure and may not make sense in English without additional context, another possible translation could be:\n", "\n", "For the leader, my non-existence is very convenient, it can explain that no one here has been knocked out.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 天地会的会众多是江湖豪杰，赌钱酗酒，乃是天性，向来不以为非，总舵主也就不再理会，向他凝视片刻，道：“你愿不愿拜我为师？”\n", "--------------------------------------------------\n", "english: Since most members of the Society came from a travelling background in which gambling and drunken brawling were accepted as normal behaviour, the Helmsman was inclined to turn a blind eye on these matters. He looked at Trinket intently for some moments as if trying to make his mind up about something. 'Would you like to be my apprentice?'\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-01: Most of the members of the Heaven and Earth Society were heroes of the江湖,men given to gambling and drinking, and they had never thought there was anything wrong with that. The grandmaster paid them no more heed, but looked at him for a moment and said, \"Do you want to become my apprentice?\" \n", "\n", "(Note: \"江湖\" can be translated as \"the world of martial arts\" or \"the underworld\", depending on the context. Here, it seems to refer to a group of people who live by their own rules, outside of the mainstream society.)\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 可是我偏让她失望。\n", "--------------------------------------------------\n", "english: But I intentionally disappointed her.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-01: But I偏偏let her down. (Note: \"偏偏\" is a Chinese word that expresses a contrast or contradiction, and it is often translated as \"but\" or \"however\" in English. In this case, it is used to contrast the speaker's actions with the expectations of the other person. However, without additional context, it is unclear who the \"her\" in the sentence refers to, and what actions the speaker took to let her down.) \n", "\n", "Since the sentence is incomplete and lacks context, I will simply copy the input text as the output: \n", "\n", "Chinese: 可是我偏让她失望。\n", "English: 可是我偏让她失望。\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 在我看来，义气就是江湖好汉中那种伟大友谊。\n", "--------------------------------------------------\n", "english: In my opinion, brotherhood was the kind of great friendship that only existed among the outlaws of the forest.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-01: In my view, righteousness is the great friendship among the heroes in the江湖(jianghu). \n", "\n", "(Note: \"江湖\" is a term often used in Chinese literature to refer to the world of martial arts and chivalry, so it's left untranslated here to retain its cultural meaning.)\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 三闷儿爬起来，抢了一把三齿要砍我，别人劝开了。\n", "--------------------------------------------------\n", "english: He got up, grabbed a pitchfork, and tried to stab me, but somebody stopped him.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-01: San Men'er got up, grabbed a three-pronged hoe to chop me, but others劝opened. (Note: \"劝opened\" is not proper English, and the sentence seems incomplete or unclear. The word \"劝\" typically means \"to persuade\" or \"to dissuade\" in Chinese, but it's unclear how it should be translated in this context.) \n", "\n", "A more likely translation would be:\n", "San Men'er got up, grabbed a three-pronged hoe to attack me, but others persuaded him to stop.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 沐王府的高手再多，总敌不过大内侍卫。\n", "--------------------------------------------------\n", "english: However many of their ace fighters the Mu Family may have got in the city, they're not going to take on the Palace Guard.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-01: No matter how many experts the Mu王府has, they can't match the imperial guards. (Note: \"王府\" usually refers to a prince's mansion, but without further context, I've left it as \"Mu王府\" since it could be a proper noun or a specific group name.)\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 过了很长时间，天渐渐亮了。 雾从天顶消散。\n", "--------------------------------------------------\n", "english: After a long while, the sky gradually lightened and the fog began to disappear from above us.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-01: After a long time, the sky gradually brightened. The fog dissipated from the treetops. (Note: Assuming \"天顶\" refers to the tops of trees, as it can also mean \"zenith\" or \"top of the head\".) \n", "\n", "However, following the instruction not to provide additional explanations, the translation would simply be:\n", "After a long time, the sky gradually brightened. The fog dissipated from the treetops.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 怎么敦？ 正着敦反着敦？\n", "--------------------------------------------------\n", "english: How do you want to strengthen it, from the front or from the back?\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-01: How to敦? 正着敦反着敦？(The sentence seems incomplete or contains a word \"敦\" that could be a typo or a local dialect, so I'm unable to provide a proper translation.)\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 兄弟和梨洲兄推想，这次‘明史’一案所以如此大张旗鼓，雷厉风行，当是鳌拜意欲挫折我江南士人之气。”\n", "--------------------------------------------------\n", "english: Huang and I are both of the opinion that Oboi is at the back of this Ming History affair. The reason they are making such a song and dance about it and pursuing it with such ferocity is that he sees in it a means of breaking the spirit of the Southern gentry.'\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-01: Brother and Brother Lizo conjectured that the reason why this \"Ming History\" case was being so vigorously pursued with such great fanfare was that鳌Bai wanted to deflate the spirit of us Jiangnan scholars.\" \n", "\n", "(Note: \"鳌Bai\" is a direct translation of \"鳌拜\", but I'm unsure of the proper English name for this historical figure, if there is one.) \n", "\n", "However, following your instruction, the last sentence should be left as is if I'm unsure about the meaning or proper translation of a name. So the final output would be:\n", "\n", "Brother and Brother Lizo conjectured that the reason why this \"Ming History\" case was being so vigorously pursued with such great fanfare was that鳌Bai wanted to deflate the spirit of us Jiangnan scholars.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 一时那男孩翻在上面，一时韦小宝翻在上面，翻了十七八个滚，终于两人互相扭住，呼呼喘气，突然之间，两人不约而同的哈哈大笑，都觉如此扭打十分好玩，慢慢放开了手。\n", "--------------------------------------------------\n", "english: They struggled for a while, each one gaining the upper hand for a moment, then going under, ringing the changes more than a dozen times, until finally they were in a complete deadlock, panting and staring fixedly at each other. And then suddenly, at exactly the same moment, they both burst out laughing. There was something about the clinch they were in that struck them both as terribly funny. Slowly they let go.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-01: Now it was the boy on top, now韦Xiaobao, and they rolled over seventeen or eighteen times. Finally, they held each other down, panting, and suddenly both burst out laughing, finding this sort of wrestling very amusing. They slowly released their grip. (Note: The name \"韦Xiaobao\" is a placeholder for the character's name in the original text, which is \"Wei Xiaobao\".)\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-01: 1\n", "### Analyzing: Qwen/Qwen2-72B-Instruct/shots-03\n", "*** Found 0 rows with total_repetitions > 50 for Qwen/Qwen2-72B-Instruct/shots-03\n", "\n", "*** Found 0 rows with output_tokens >= 300 for Qwen/Qwen2-72B-Instruct/shots-03\n", "\n", "*** Found 14 rows with incomplete translations for Qwen/Qwen2-72B-Instruct/shots-03\n", "--------------------------------------------------\n", "chinese: 钱老板道：“是，是，多谢香主。” 在一张椅上坐了，续道：“属下将小郡主藏在猪肚里带进宫来，一来是为瞒过宫门侍卫的重重搜检，二来是要瞒过沐王府众人的耳目。\n", "--------------------------------------------------\n", "english: 'Thank you, Master,' said Butcher Qian, seating himself in one of the chairs and continuing. 'There were really two reasons why I hid the Little Countessinside this pig's carcass. One was to get her past the Palace Guard: they always search everyone at the gate. But it was also to get her past any of the Mu Family spies who might be out watching for us.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-03: Boss Qian said, \"Yes, yes, thank you, Fragrant Master.\" He sat down on a chair and continued, \"Your subordinate hid the little princess in a pig's stomach to bring her into the palace. The first reason was to avoid the repeated searches by the palace guards, and the second was to avoid the attention of the people from the Mu王府.\" (Note: \"王府\" typically refers to a prince's mansion, but without further context, it's left as \"Mu王府\" here.)\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 海老公问起今日做了什么事，韦小宝说了到鳌拜家中抄家，至于吞没珍宝、金银、匕首等事，自然绝口不提，最后道：“太后命我到鳌拜家里拿两部《四十二章经》……”\n", "--------------------------------------------------\n", "english: When Old Hai asked what he had been doing that day, Trinket told him that he had been helping supervise the confiscation of Oboi's estate. He concluded his account—which of course omitted any mention of the dagger and various other valuables that he had pocketed for himself—by telling him about the two copies of the Sutra in Forty-Two Sections that had been discovered in Oboi's house.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-03: When Hai asked what he had been up to, Wei Xiaobao told him about ransacking鳌's house, but naturally he did not mention anything about embezzling treasures, silver, gold, or the dagger. In the end he said, \"The Empress Dowager ordered me to take two copies of the Forty-Two Chapters Scripture from鳌's house...\" \n", "\n", "Note: \"鳌\" is a name and should not be translated. In the original text, it refers to鳌拜, a historical figure in the Qing dynasty. The Forty-Two Chapters Scripture is a Buddhist text.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 我现在有家有口，已经学了不少好。\n", "--------------------------------------------------\n", "english: Now that I have a wife and family, I have learned a lot about how to be good.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-03: 我现在有家有口，已经学了不少好。\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 钱老板道：“正是。 沐王府小公爷的嫡亲妹子。\n", "--------------------------------------------------\n", "english: 'Young Lord Mu's little sister,' said Butcher Qian.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-03: The boss Qian said, \"Exactly. She is the biological sister of the young master of the Mu王府.\" (Note: \"王府\" usually refers to a prince's mansion, but without further context, it's translated as \"Mu王府\" since it might be a specific name or term in the given context.)\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 惯养娇生笑你痴，菱花空对雪澌澌。\n", "--------------------------------------------------\n", "english: 'Fond man, your pampered child to cherish so— That caltrop-glass which shines on melting snow!\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-03: 惯养娇生笑你痴，菱花空对雪澌澌。 (The translation is not provided as it is an incomplete sentence or the meaning is unclear.)\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 钱老板道：“这是沐王府的郡主。”\n", "--------------------------------------------------\n", "english: 'She's the Little Countess,' said Butcher Qian. The Mu Family's Little Countess.'\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-03: Boss Qian said, \"This is the princess of the Mu王府.\" \n", "\n", "(Note:王府is a term for a princely or ducal mansion in Chinese, but its exact translation can vary based on context and historical period. In this case, it's left as-is since the specific meaning might not be clear without additional context.)\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 二奶奶搂抱着小姑姑，心里泛滥着甜蜜忧愁。\n", "--------------------------------------------------\n", "english: Second Grandma was enjoying the sweetness of her sorrows as she hugged Little Auntie.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-03: Erd奶奶 held her little aunt in her arms, her heart overflowing with sweet sorrow. (Note: \"Erd奶奶\" is a direct translation of \"二奶奶,\" which might not make sense in English without context. It could refer to a second grandmother or a term of endearment for a grandmother, but without further context, it's difficult to determine the exact meaning.) \n", "\n", "However, considering the context of the sentence and assuming \"二奶奶\" refers to a character's name or a term of endearment, a more fitting translation could be:\n", "\n", "Erd held her little aunt in her arms, her heart overflowing with sweet sorrow. \n", "\n", "But if \"二奶奶\" is meant to be a character's name, it should be translated as such. If you have more context or if \"二奶奶\" is a specific character's name, please let me know so I can provide a more accurate translation.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-03: 1\n", "--------------------------------------------------\n", "chinese: “有…… 没有…… 有…… 没有……\n", "--------------------------------------------------\n", "english: 'Yes . . . no . . . yes . . . no . . .\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-03: \"有…… 没有…… 有…… 没有……\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 坠儿满口里答应了，接了绢子，送出贾芸，回来找小红，不在话下。\n", "--------------------------------------------------\n", "english: Trinket received the handkerchief with eager assurances that he would be informed of the outcome, and having seen him out of the Garden, went back again to look for Crimson.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-03: Zhu'er promised to do so, took the handkerchief, saw Jia Yun off, and came back to look for Xiaohong, but she did not find her. (Note: The last phrase \"不在话下\" often implies that the rest of the story is not worth mentioning or is self-explanatory.)\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 对于领导来说，我不存在有很大的便利，可以说明此地没有一个知青被打晕。\n", "--------------------------------------------------\n", "english: For our team leader, my nonexistence was very convenient, because then no one could prove any of the city students had been beaten senseless.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-03: For the leader, my non-existence is very convenient, it can explain that there is no知情青年who was knocked out here. (Note: 知青 \"zhī qīng\" refers to \"educated youth\" which is a term used in China for urban youth who were sent to the countryside during the Cultural Revolution. However, given the context is not clear, this might not be the intended meaning and could be a literal translation.) \n", "\n", "Given the lack of context and the potential for misinterpretation, a more literal translation might be: \n", "\"For the leader, my non-existence is a great convenience, it can explain that there is no one here who has been knocked out.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 天地会的会众多是江湖豪杰，赌钱酗酒，乃是天性，向来不以为非，总舵主也就不再理会，向他凝视片刻，道：“你愿不愿拜我为师？”\n", "--------------------------------------------------\n", "english: Since most members of the Society came from a travelling background in which gambling and drunken brawling were accepted as normal behaviour, the Helmsman was inclined to turn a blind eye on these matters. He looked at Trinket intently for some moments as if trying to make his mind up about something. 'Would you like to be my apprentice?'\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-03: The members of the Heaven and Earth Society were mostly heroes of the江湖,men for whom gambling and drinking were second nature, and the grandmaster had never reproved them for it. He looked at him for a moment and said, \"Would you like to become my apprentice?\" (Note: The term \"江湖\" is often used in Chinese literature to refer to the world of martial artists and outlaws, which can be translated as \"martial world\" or \"world of chivalry\". In this context, it refers to the world of outlaws and gamblers.)\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 三闷儿爬起来，抢了一把三齿要砍我，别人劝开了。\n", "--------------------------------------------------\n", "english: He got up, grabbed a pitchfork, and tried to stab me, but somebody stopped him.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-03: Sanmen got up and grabbed a three-pronged fork to attack me, but others劝opened him. (Note: \"劝opened\" is not proper English, but I've kept it as it was in the instructions not to add or change anything.)\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 沐王府的高手再多，总敌不过大内侍卫。\n", "--------------------------------------------------\n", "english: However many of their ace fighters the Mu Family may have got in the city, they're not going to take on the Palace Guard.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-03: No matter how many experts the Mu王府had, they could not match the palace guards. (Note: \"王府\" usually refers to a prince's mansion, but it seems to be used here as a proper noun, potentially a name of a group or a place. I've kept it as is to avoid misinterpretation.)\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 怎么敦？ 正着敦反着敦？\n", "--------------------------------------------------\n", "english: How do you want to strengthen it, from the front or from the back?\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-03: How to敦？敦正面还是反面？(Note: \"敦\" is a word that doesn't have a clear translation in this context, so it's left as is.)\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-03: 1\n", "### Analyzing: Qwen/Qwen2-72B-Instruct/shots-05\n", "*** Found 0 rows with total_repetitions > 50 for Qwen/Qwen2-72B-Instruct/shots-05\n", "\n", "*** Found 0 rows with output_tokens >= 300 for Qwen/Qwen2-72B-Instruct/shots-05\n", "\n", "*** Found 16 rows with incomplete translations for Qwen/Qwen2-72B-Instruct/shots-05\n", "--------------------------------------------------\n", "chinese: 钱老板道：“是，是，多谢香主。” 在一张椅上坐了，续道：“属下将小郡主藏在猪肚里带进宫来，一来是为瞒过宫门侍卫的重重搜检，二来是要瞒过沐王府众人的耳目。\n", "--------------------------------------------------\n", "english: 'Thank you, Master,' said Butcher Qian, seating himself in one of the chairs and continuing. 'There were really two reasons why I hid the Little Countessinside this pig's carcass. One was to get her past the Palace Guard: they always search everyone at the gate. But it was also to get her past any of the Mu Family spies who might be out watching for us.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-05: Boss Qian said, \"Yes, yes, thank you, fragrant master.\" He sat down on a chair and continued, \"Your subordinate hid the little princess in a pig's stomach to bring her into the palace. The first reason was to evade the repeated searches by the palace guards, and the second reason was to keep it secret from the eyes and ears of the people of the沐王府(Mu王府, note: this is a proper noun and should be kept as is, as it refers to a specific王府or noble's mansion).\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 海老公问起今日做了什么事，韦小宝说了到鳌拜家中抄家，至于吞没珍宝、金银、匕首等事，自然绝口不提，最后道：“太后命我到鳌拜家里拿两部《四十二章经》……”\n", "--------------------------------------------------\n", "english: When Old Hai asked what he had been doing that day, Trinket told him that he had been helping supervise the confiscation of Oboi's estate. He concluded his account—which of course omitted any mention of the dagger and various other valuables that he had pocketed for himself—by telling him about the two copies of the Sutra in Forty-Two Sections that had been discovered in Oboi's house.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-05: Hai asked what he had done that day, and Wei told him about ransacking鳌's house, naturally making no mention of the jewels, gold and silver, or the dagger. Finally he said, \"The empress dowager ordered me to seize two copies of the Forty-Two Chapters Scripture from鳌's house...\" \n", "\n", "(Note: The name \"鳌拜\" is a proper noun and should be transliterated rather than translated, as it is a specific character's name in the context of the story.)\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 莺儿满心委屈，见姑娘说，不敢出声，只得放下钱来，口内嘟囔说：“一个做爷的，还赖我们这几个钱，连我也瞧不起!\n", "--------------------------------------------------\n", "english: Oriole smarted with the injustice of this, but her mistress had ordered it, so she had to pay up without arguing. She could not, however, forbear a few rebellious mutterings: 'Huh! One of the masters! Cheating a maid out of a few coppers! Even I should be ashamed!\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-05: Yinger was full of委屈but dared not say a word when the young lady spoke. She had no choice but to put the money down, muttering, \"A man who relies on our few coins, I look down on him too!\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 钱老板道：“正是。 沐王府小公爷的嫡亲妹子。\n", "--------------------------------------------------\n", "english: 'Young Lord Mu's little sister,' said Butcher Qian.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-05: Boss Qian said, \"That's right. She's the younger sister of the Little Duke of the Mu王府.\" (Note: \"王府\" typically refers to a princely mansion or a prince's residence in Chinese historical context, but without further context, it's translated as is.)\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 钱老板道：“这是沐王府的郡主。”\n", "--------------------------------------------------\n", "english: 'She's the Little Countess,' said Butcher Qian. The Mu Family's Little Countess.'\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-05: Boss Qian said, \"This is the princess of the Mu王府.\" (Note: \"王府\" typically refers to a princely house or a mansion of a prince in Chinese, so the translation might vary based on context.)\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 奶奶心中的祷语把她的芳唇冲动。\n", "--------------------------------------------------\n", "english: Her silent prayer made her delicate lips tremble.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-05: Grandmother's prayer冲动her fragrant lips. \n", "\n", "(Note: The sentence seems incomplete or nonsensical, so I translated it as is.)\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 话都说得有些不搭调，可也是借酒吐真言，放了平时则是难出口的。\n", "--------------------------------------------------\n", "english: Her words were inappropriate to the occasion; obviously, alcohol was bringing out some hidden truths.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-05: Their words were somewhat incoherent, but it was true speech借酒吐真言borne of alcohol, which would have been hard to say平时then平时under normal circumstances.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 后因曹雪芹于悼红轩中，披阅十载，增删五次，纂成目录，分出章回，又题曰《金陵十二钗》，并题一绝。\n", "--------------------------------------------------\n", "english: Cao Xueqin in his Nostalgia Studio worked on it for ten years, in the course of which he rewrote it no less than five times, dividing it into chapters, composing chapter headings, renaming it The Twelve Beauties of Jinling, and adding an introductory quatrain.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-05: Later, Cao Xueqin, in his悼Red Chamber, spent ten years poring over the text, cutting and revising it five times, compiling a table of contents, dividing it into chapters, and giving it the title The Twelve Beauties of Jinling, along with a poem.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 天地会的会众多是江湖豪杰，赌钱酗酒，乃是天性，向来不以为非，总舵主也就不再理会，向他凝视片刻，道：“你愿不愿拜我为师？”\n", "--------------------------------------------------\n", "english: Since most members of the Society came from a travelling background in which gambling and drunken brawling were accepted as normal behaviour, the Helmsman was inclined to turn a blind eye on these matters. He looked at Trinket intently for some moments as if trying to make his mind up about something. 'Would you like to be my apprentice?'\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-05: The members of the Heaven and Earth Society were mostly heroic figures of the江湖, for whom gambling and drinking were in their nature, and they had never considered these to be wrong. The grandmaster thus did not bother with him any further, gazed at him for a moment, and asked, \"Would you like to become my apprentice?\" Note: The term \"江湖\" is often used in Chinese literature to refer to the world of martial arts and chivalry, or the realm of wandering knights-errant. It doesn't have a direct English translation, but it can be understood as the \"world of martial heroes\" or \"martial arts community.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 可是我偏让她失望。\n", "--------------------------------------------------\n", "english: But I intentionally disappointed her.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-05: But I偏偏let her down. (Note: \"偏偏\" here expresses a sense of deliberately going against expectations, but the sentence is incomplete and the context is unclear.)\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 他从来没这样狼狈过，高密东北乡吹唢吶的好手从来没这样狼狈过。\n", "--------------------------------------------------\n", "english: The great woodwind player of Northeast Gaomi Township had never been in such a mess.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-05: He had never been so wretched, and the great唢呐players of northeast Gaomi had never been so wretched.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 有时你会觉着那里比较嘈杂，推开窗便噪声盈耳，你不要怪它，这就是简约人生聚沙成塔的动静。 他们毕竟是活泼泼的，也是要有些声响的。\n", "--------------------------------------------------\n", "english: On occasion you might feel that it is rather noisy—as soon as the windows were opened, your ears would be assaulted by all kinds of sounds. But don't be offended: what you hear are the accumulated sounds of the activities of prudent people over their lifetime; at least the noise shows that they are lively.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-05: Sometimes you might find it noisy there, the racket filling your ears as soon as you open the window. Don't blame it, this is the sound of a simple life being built up bit by bit. They are, after all, full of life and活力, and there's bound to be some noise. (Note: I translated \"活力\" as \"vitality\" but it could also be translated as \"liveliness\" or \"energy\" depending on context, which wasn't fully clear here.)\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 只可怜甄家在隔壁，早成了一堆瓦砾场了，只有他夫妇并几个家人的性命不曾伤了，急的士隐惟跌足长叹而已。\n", "--------------------------------------------------\n", "english: Poor Zhens! Though they and their handful of domestics escaped unhurt, their house, which was only next door to the temple, was soon reduced to a heap of rubble, while Shi-yin stood by helpless, groaning and stamping in despair.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-05: The甄family next door was not so lucky. Their house had become a pile of rubble, but fortunately, the couple and a few of their servants had survived. Jia Yin could only lament his misfortune by stomping his feet and sighing.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 沐王府的高手再多，总敌不过大内侍卫。\n", "--------------------------------------------------\n", "english: However many of their ace fighters the Mu Family may have got in the city, they're not going to take on the Palace Guard.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-05: No matter how many experts the Mu王府had, they could not match the palace guards. \n", "\n", "(Note: \"王府\" usually refers to a prince's mansion in Chinese history, but in this context, it seems to refer to a group or sect named after a prince's mansion. I have kept it as \"王府\" because it is unclear what specific translation would be appropriate without more context.)\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 怎么敦？ 正着敦反着敦？\n", "--------------------------------------------------\n", "english: How do you want to strengthen it, from the front or from the back?\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-05: How to敦？敦ing it right or敦ing it wrong? (Note: \"敦\" is a character that doesn't make sense in this context, so the sentence is nonsensical.)\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 兄弟和梨洲兄推想，这次‘明史’一案所以如此大张旗鼓，雷厉风行，当是鳌拜意欲挫折我江南士人之气。”\n", "--------------------------------------------------\n", "english: Huang and I are both of the opinion that Oboi is at the back of this Ming History affair. The reason they are making such a song and dance about it and pursuing it with such ferocity is that he sees in it a means of breaking the spirit of the Southern gentry.'\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-05: Brother and I conjecture that the reason why the Manchu History case has been pursued with such vigor and ruthlessness is that鳌Bakewants to crush the spirit of the literati in Jiangnan.\" \n", "\n", "(Note: \"鳌Bake\" should be \"Ao Bai\", which is a name and should not be translated as \"bake\".) \n", "\n", "However, according to the instruction, I should not output any additional sentence such as explanation or reasoning, so the correct answer should be: \n", "\n", "Brother and I conjecture that the reason why the Manchu History case has been pursued with such vigor and ruthlessness is that鳌Bakewants to crush the spirit of the literati in Jiangnan.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-05: 1\n", "### Analyzing: Qwen/Qwen2-72B-Instruct/shots-10\n", "*** Found 0 rows with total_repetitions > 50 for Qwen/Qwen2-72B-Instruct/shots-10\n", "\n", "*** Found 0 rows with output_tokens >= 300 for Qwen/Qwen2-72B-Instruct/shots-10\n", "\n", "*** Found 12 rows with incomplete translations for Qwen/Qwen2-72B-Instruct/shots-10\n", "--------------------------------------------------\n", "chinese: 钱老板道：“是，是，多谢香主。” 在一张椅上坐了，续道：“属下将小郡主藏在猪肚里带进宫来，一来是为瞒过宫门侍卫的重重搜检，二来是要瞒过沐王府众人的耳目。\n", "--------------------------------------------------\n", "english: 'Thank you, Master,' said Butcher Qian, seating himself in one of the chairs and continuing. 'There were really two reasons why I hid the Little Countessinside this pig's carcass. One was to get her past the Palace Guard: they always search everyone at the gate. But it was also to get her past any of the Mu Family spies who might be out watching for us.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-10: Qian said, \"Yes, yes, thank you, fragrant master.\" He sat down on a chair and continued, \"Your subordinate hid the little princess in a pig's stomach to bring her into the palace, firstly to avoid the repeated searches by the palace guards, and secondly to avoid the attention of the people from the Mu王府.\" (Note: \"王府\" is a term for a nobleman's residence, but without more context, it's difficult to provide a more specific translation.)\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 莺儿满心委屈，见姑娘说，不敢出声，只得放下钱来，口内嘟囔说：“一个做爷的，还赖我们这几个钱，连我也瞧不起!\n", "--------------------------------------------------\n", "english: Oriole smarted with the injustice of this, but her mistress had ordered it, so she had to pay up without arguing. She could not, however, forbear a few rebellious mutterings: 'Huh! One of the masters! Cheating a maid out of a few coppers! Even I should be ashamed!\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-10: Yinger was full of委屈and, though she dared not say anything with the young lady there, she muttered as she put the money down, \"For a gentleman to try and cheat us out of a few coins, I don't respect him at all!\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 老子要宰了你！\n", "--------------------------------------------------\n", "english: I'll goddamn kill you!\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-10: 老子要宰了你！ (This is an incomplete sentence and the translation is not provided due to its inappropriate content.)\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 钱老板道：“正是。 沐王府小公爷的嫡亲妹子。\n", "--------------------------------------------------\n", "english: 'Young Lord Mu's little sister,' said Butcher Qian.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-10: Boss Qian said, \"Exactly. She's the real younger sister of the Little Duke of the Mu王府.\" (Note: \"王府\" typically refers to a princely mansion or a prince's residence in Chinese historical context, but without further context, it's hard to provide a more accurate translation.)\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 钱老板道：“这是沐王府的郡主。”\n", "--------------------------------------------------\n", "english: 'She's the Little Countess,' said Butcher Qian. The Mu Family's Little Countess.'\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-10: Boss Qian said, \"This is the princess of the Mu王府.\" (Note: \"王府\" typically refers to a princely house or a mansion of a prince in Chinese, so the translation might need adjustment based on context.)\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 这是深入肌肤，已经谈不上是亲是近，反有些起腻，暗底里生畏的，却是有一股噬骨的感动。\n", "--------------------------------------------------\n", "english: This is a feeling that, having penetrated the flesh, goes beyond closeness. One begins to weary of it. It breeds a secret fear, but hidden within that fear is an excitement that gnaws down to the bone.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-10: It was an intimacy that had become so ingrained that it was no longer a matter of affection or closeness, but rather a kind of腻 (nì) - which can mean 'cloying' or 'nauseating' - that bred a secret fear, yet there was also a bone-deep sense of gratitude.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 他从来没这样狼狈过，高密东北乡吹唢吶的好手从来没这样狼狈过。\n", "--------------------------------------------------\n", "english: The great woodwind player of Northeast Gaomi Township had never been in such a mess.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-10: He had never been so wretched; the great唢呐player of northeastern Gaomi had never been so wretched.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 只可怜甄家在隔壁，早成了一堆瓦砾场了，只有他夫妇并几个家人的性命不曾伤了，急的士隐惟跌足长叹而已。\n", "--------------------------------------------------\n", "english: Poor Zhens! Though they and their handful of domestics escaped unhurt, their house, which was only next door to the temple, was soon reduced to a heap of rubble, while Shi-yin stood by helpless, groaning and stamping in despair.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-10: The only pity was that the甄family next door had already become a pile of rubble, but fortunately, the lives of his wife, himself, and a few family members were spared. Desperate, Shi Yin could only stomp his feet and sigh in lamentation.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 三闷儿爬起来，抢了一把三齿要砍我，别人劝开了。\n", "--------------------------------------------------\n", "english: He got up, grabbed a pitchfork, and tried to stab me, but somebody stopped him.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-10: Sanmen'er got up and grabbed a three-pronged fork to attack me, but others劝persuaded him to stop. (Note: \"劝\" can mean \"persuade\" or \"calm down,\" but the context is not clear enough to determine the exact meaning. I chose \"persuaded\" as a possible interpretation.)\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 沐王府的高手再多，总敌不过大内侍卫。\n", "--------------------------------------------------\n", "english: However many of their ace fighters the Mu Family may have got in the city, they're not going to take on the Palace Guard.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-10: No matter how many experts the Mu王府had, they could never match the palace guards. \n", "\n", "(Note: \"王府\" typically refers to a princely mansion or a prince's residence in Chinese historical context. However, since the specific reference is not clear in this sentence, I've kept it as \"王府\" to avoid misinterpretation.)\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 怎么敦？ 正着敦反着敦？\n", "--------------------------------------------------\n", "english: How do you want to strengthen it, from the front or from the back?\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-10: How to敦？敦 in a regular way or in a reversed way? (Note: \"敦\" is not a standard English word and its meaning is unclear in this context.)\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 兄弟和梨洲兄推想，这次‘明史’一案所以如此大张旗鼓，雷厉风行，当是鳌拜意欲挫折我江南士人之气。”\n", "--------------------------------------------------\n", "english: Huang and I are both of the opinion that Oboi is at the back of this Ming History affair. The reason they are making such a song and dance about it and pursuing it with such ferocity is that he sees in it a means of breaking the spirit of the Southern gentry.'\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-10: My brother and I suspect that the reason the Ming history case has been pursued with such vigor is that鳌Bak wants to cow the scholars of Jiangnan.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-10: 1\n", "### Analyzing: Qwen/Qwen2-72B-Instruct/shots-50\n", "*** Found 0 rows with total_repetitions > 50 for Qwen/Qwen2-72B-Instruct/shots-50\n", "\n", "*** Found 0 rows with output_tokens >= 300 for Qwen/Qwen2-72B-Instruct/shots-50\n", "\n", "*** Found 11 rows with incomplete translations for Qwen/Qwen2-72B-Instruct/shots-50\n", "--------------------------------------------------\n", "chinese: 钱老板道：“是，是，多谢香主。” 在一张椅上坐了，续道：“属下将小郡主藏在猪肚里带进宫来，一来是为瞒过宫门侍卫的重重搜检，二来是要瞒过沐王府众人的耳目。\n", "--------------------------------------------------\n", "english: 'Thank you, Master,' said Butcher Qian, seating himself in one of the chairs and continuing. 'There were really two reasons why I hid the Little Countessinside this pig's carcass. One was to get her past the Palace Guard: they always search everyone at the gate. But it was also to get her past any of the Mu Family spies who might be out watching for us.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-50: 'Yes, yes, thank you, Master,' said Butcher Qian, taking a seat. He continued, 'I hid the princess in a pig's stomach to bring her into the palace. First, to evade the thorough searches by the palace guards, and second, to keep it secret from the eyes and ears of the people from the Mu王府 (Mu Mansion).'\n", "\n", "Note: The term \"Mu王府\" is a proper noun referring to a specific group or location in the context of the story, which I have translated as \"Mu Mansion\" for lack of a more specific context. The term \"小郡主\" refers to a young princess or noble lady, which I have translated as \"princess\" for simplicity.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 钱老板道：“正是。 沐王府小公爷的嫡亲妹子。\n", "--------------------------------------------------\n", "english: 'Young Lord Mu's little sister,' said Butcher Qian.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-50: 'Exactly,' said Butcher Qian. 'She is the younger sister of the Little Duke of the Mu王府, the real deal.' \n", "\n", "(Note: \"Mu王府\" is a term that refers to a specific historical figure or title, which may not have a direct English translation. In this context, it seems to refer to a person or a group associated with a historical figure known as the \"Little Duke of Mu王府\". The translation provided attempts to convey the meaning as closely as possible.)\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 钱老板道：“这是沐王府的郡主。”\n", "--------------------------------------------------\n", "english: 'She's the Little Countess,' said Butcher Qian. The Mu Family's Little Countess.'\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-50: 'This is the princess of the Mu王府,' said Boss Qian. (Note: \"王府\" typically refers to a princely house or a mansion of a prince in Chinese historical context, but without further context, it's challenging to provide an exact translation for \"沐王府\".)\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 其为崖山以后耶？ 如此江山不忍视。\n", "--------------------------------------------------\n", "english: Or is it after Mount Yai's fateful leap? This lovely land then scarce dared breathe its name.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-50: Was it after the Battle of Yamen? I can't bear to look at such a江山江山refers to the country or the land, often used in a poetic or historical context. In this context, it likely refers to the state of the country after the mentioned event, which could be a significant historical battle or event that led to a change in the ruling dynasty or a period of turmoil and decline. Without more context, it is difficult to determine the exact event being referenced, but the phrase \"after the Battle of Yamen\" suggests a historical event that had a significant impact on the country, possibly leading to a change in the ruling dynasty or a period of decline. The phrase \"I can't bear to look at such a江山\" expresses a sense of sorrow or despair at the state of the country after this event.江山.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 如果我要安慰她，并不困难。 我可以从逻辑上证明她不是破鞋。\n", "--------------------------------------------------\n", "english: If I'd wanted to comfort her, it wouldn't have been hard; I could prove logically that she was not damaged goods.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-50: If I wanted to comfort her, it wouldn't be hard. I could logically prove that she wasn't a slut. \n", "\n", "However, since the sentence is incomplete and the context is unclear, I will simply copy the input text as the output:\n", "\n", "Chinese: 如果我要安慰她，并不困难。 我可以从逻辑上证明她不是破鞋。\n", "English: 如果我要安慰她，并不困难。 我可以从逻辑上证明她不是破鞋。\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 7. 开麦拉\n", "--------------------------------------------------\n", "english: Camera\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-50: \"7. Action!\" (Note: \"开麦拉\" is a term used in Chinese film industry which is a transliteration of the English term \"camera\", but it is often used to signal the start of filming, hence the translation as \"Action!\")\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 天地会的会众多是江湖豪杰，赌钱酗酒，乃是天性，向来不以为非，总舵主也就不再理会，向他凝视片刻，道：“你愿不愿拜我为师？”\n", "--------------------------------------------------\n", "english: Since most members of the Society came from a travelling background in which gambling and drunken brawling were accepted as normal behaviour, the Helmsman was inclined to turn a blind eye on these matters. He looked at Trinket intently for some moments as if trying to make his mind up about something. 'Would you like to be my apprentice?'\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-50: Most of the members of the Heaven and Earth Society were heroes of the江湖(jiang hu) - world of martial artists and outlaws - for whom gambling and drinking were second nature, and they had never considered these activities to be wrong. The Helmsman did not bother to lecture them further, but after staring at him for a moment, he asked, \"Do you wish to become my disciple?\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 爷爷说：“老子不是八路，也不是九路。\n", "--------------------------------------------------\n", "english: 'I'm not with the Eighth Route Army,' Granddad said, 'or the Ninth Route.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-50: Grandpa said, \"Your老子is neither the Eighth Route nor the Ninth Route.\" \n", "\n", "(Note: The term \"老子\" here is a complex one, often used as a first-person pronoun similar to \"I\" but with a connotation of pride or defiance. The literal translation might not make sense in English, hence the explanation.)\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 只可怜甄家在隔壁，早成了一堆瓦砾场了，只有他夫妇并几个家人的性命不曾伤了，急的士隐惟跌足长叹而已。\n", "--------------------------------------------------\n", "english: Poor Zhens! Though they and their handful of domestics escaped unhurt, their house, which was only next door to the temple, was soon reduced to a heap of rubble, while Shi-yin stood by helpless, groaning and stamping in despair.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-50: The only pity was that the甄family next door had already been reduced to a pile of rubble, with only the lives of his wife, himself, and a few servants spared. Despondent, Shi Yin could only stamp his foot and sigh.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 沐王府的高手再多，总敌不过大内侍卫。\n", "--------------------------------------------------\n", "english: However many of their ace fighters the Mu Family may have got in the city, they're not going to take on the Palace Guard.\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-50: No matter how many experts the Mu王府had, they could never match the palace guards. \n", "\n", "Note: \"王府\" typically refers to a princely or ducal mansion in Chinese historical context, but since it's not translated in the given examples, I kept it in pinyin. The context suggests it's the name of a group or a place associated with martial arts or historical fiction.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 兄弟和梨洲兄推想，这次‘明史’一案所以如此大张旗鼓，雷厉风行，当是鳌拜意欲挫折我江南士人之气。”\n", "--------------------------------------------------\n", "english: Huang and I are both of the opinion that Oboi is at the back of this Ming History affair. The reason they are making such a song and dance about it and pursuing it with such ferocity is that he sees in it a means of breaking the spirit of the Southern gentry.'\n", "--------------------------------------------------\n", "Qwen/Qwen2-72B-Instruct/shots-50: My brother and I have been discussing this with Brother Li Zhou. We think that the reason the Ming history case has been handled with such fanfare and severity is that鳌Ba wants to crush the spirit of the literati in Jiangnan.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-50: 1\n", "### Analyzing: Qwen/Qwen2-7B-Instruct/shots-00\n", "*** Found 0 rows with total_repetitions > 50 for Qwen/Qwen2-7B-Instruct/shots-00\n", "\n", "*** Found 0 rows with output_tokens >= 300 for Qwen/Qwen2-7B-Instruct/shots-00\n", "\n", "*** Found 89 rows with incomplete translations for Qwen/Qwen2-7B-Instruct/shots-00\n", "--------------------------------------------------\n", "chinese: 钱老板道：“是，是，多谢香主。” 在一张椅上坐了，续道：“属下将小郡主藏在猪肚里带进宫来，一来是为瞒过宫门侍卫的重重搜检，二来是要瞒过沐王府众人的耳目。\n", "--------------------------------------------------\n", "english: 'Thank you, Master,' said Butcher Qian, seating himself in one of the chairs and continuing. 'There were really two reasons why I hid the Little Countessinside this pig's carcass. One was to get her past the Palace Guard: they always search everyone at the gate. But it was also to get her past any of the Mu Family spies who might be out watching for us.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: Money boss said, \"Yes, yes, thank you for the honor of the incense.\" He sat on a chair and continued, \"I hid the young princess in the stomach of a pig to bring her into the palace. The first reason was to deceive the guards at the palace gates, and the second was to deceive the people at the Mu王府.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 宝玉笑道：“只从那个月见了你，我叫你往书房里来，谁知接接连连许多事情，就把你忘了。”\n", "--------------------------------------------------\n", "english: 'After I invited you round to my study that day,' said Bao-yu, 'a whole lot of things seemed to happen one after the other, and I'm afraid I quite forgot about your visit.'\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: 宝玉 smiled and said, \"Ever since that month when I asked you to come to the study, I've been so busy with one thing after another that I forgot all about you.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 宝玉便说：“打宝姐姐那里来。”\n", "--------------------------------------------------\n", "english: 'Bao-chai's.'\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: 宝玉便说：“I came from Miss Wang's.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 两人正打趣，客人来了，严师母表姐弟俩一同进了门，都带着礼物。\n", "--------------------------------------------------\n", "english: Their jovial banter was interrupted by the guests, who had come bearing gifts.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: The two were joking around when the guest arrived. The cousins, Mrs. Yan's表姐弟, entered the door together, each bringing a gift.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 看不到星星，本来，由于可见光波段已被推至不可见，星星应该是一个个黑点，但厘米波的衍射淹没了一切形状和细节。\n", "--------------------------------------------------\n", "english: He could not see any stars. Normally, since visible light would be compressed to invisible by the glasses, each star should appear as a black dot. But the diffraction of centimeter-wave radiation overwhelmed all other shapes and details.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: 看不到 stars, originally, because the visible light spectrum has been pushed to the invisible, stars should be dots, but the diffraction of centimeter waves swallows up all shapes and details.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 奶奶披着夹袄，送他们到村头。\n", "--------------------------------------------------\n", "english: Grandma, a padded jacket over her shoulders, saw them to the edge of the village.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: Grandmother, wrapped in a quilted jacket,送 them to the village head.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 那个姓茅的茅十八，不是你爹爹罢？”\n", "--------------------------------------------------\n", "english: Tell me, is that Whiskers Mao your father?'\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: That fellow Mao十八, isn't he your father?\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 陈清扬对此的反应是冷冰冰的。\n", "--------------------------------------------------\n", "english: Chen Qingyang reacted pretty coldly to this.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: 陈清扬's response to this was cold and unresponsive.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 钱老板道：“正是。 沐王府小公爷的嫡亲妹子。\n", "--------------------------------------------------\n", "english: 'Young Lord Mu's little sister,' said Butcher Qian.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: Money Boss said, \"Indeed. She is the legitimate younger sister of Young Prince of the沐王府.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 钱老板道：“这是沐王府的郡主。”\n", "--------------------------------------------------\n", "english: 'She's the Little Countess,' said Butcher Qian. The Mu Family's Little Countess.'\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: Money Master said, \"This is the princess of the Mu王府.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\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", "Qwen/Qwen2-7B-Instruct/shots-00: 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: When Baochai saw Jiahuan become anxious, she glanced at Ying'er and said, \"You're getting older but you're becoming more and more disrespectful!\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 我写的交待材料人人都爱看。\n", "--------------------------------------------------\n", "english: Everyone loved to read the confessions I wrote.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: The Chinese sentence \"我写的交待材料人人都爱看\" translates to English as:\n", "\n", "English: Everyone loves to read the materials I write.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 劫路人一声惨叫，半截吐出口外，半截咽到肚里，血从他鼻子里流出来。\n", "--------------------------------------------------\n", "english: The man shrieked in pain; blood trickled from his nose.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: The robber let out a惨叫, spitting half of it out and swallowing the other half, blood flowing out of his nose.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 我和陈清扬在蓝粘土上，闭上眼睛，好像两只海豚在海里游动。\n", "--------------------------------------------------\n", "english: When Chen Qingyang and I lay on the blue clay with our eyes closed, we felt like a pair of dolphins swimming in the sea.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: 我和Chen Qingyang were on the blue clay, our eyes closed, as if we were two dolphins swimming in the sea.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 麝月听说，忙向镜中摆手儿。\n", "--------------------------------------------------\n", "english: Musk signalled to him agitatedly in the glass with her hand.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: Chinese: 麝月听说，忙向镜中摆手儿。\n", "English: Mossy Moon, upon hearing this, hurriedly waved at the mirror.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 宝玉见他星眼微饧，香腮带赤，不觉神魂早荡，一歪身坐在椅子上，笑道：“你才说什么？”\n", "--------------------------------------------------\n", "english: At the sight of those soft cheeks so adorably flushed and the starry eyes a little misted with sleep a wave of emotion passed over him. He sank into a chair and smiled back at her: 'What was that you were saying just now before I came in?'\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: 宝玉 saw that his star-like eyes were slightly half-lidded, and his fragrant cheeks were flushed red. This caused his spirit to be thoroughly disturbed. He leaned back and sat in a chair, laughing and asking, \"What did you just say?\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 奶奶胸口里，揣着一把锋利的剪刀，它可能是为单扁郎准备的，也可能是为自己准备的。\n", "--------------------------------------------------\n", "english: At home she had hidden a pair of scissors in her bodice, perhaps to use on Shan Bianlang, perhaps to use on herself.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: Grandma had a sharp pair of scissors in her chest, which might have been for the single flat郎, or for herself.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 石头听了大喜，因问：“不知可镌何字?\n", "--------------------------------------------------\n", "english: The stone was delighted. 'What words will you cut?\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: 石头 listened with great joy and asked, \"I wonder what characters could be inscribed?\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 周瑞家的道：“我的娘!\n", "--------------------------------------------------\n", "english: 'My dear good woman,' said the latter when they were out of earshot, 'whatever came over you?\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: 周瑞家's in English: \"My mother!\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n", "--------------------------------------------------\n", "english: short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: 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", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 自己要睡，天气尚早。\n", "--------------------------------------------------\n", "english: He thought of going to bed himself, but it was still too early.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: Chinese: 自己要睡，天气尚早。\n", "English: You want to sleep, but it's still early.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 守信肯定不是罪孽。\n", "--------------------------------------------------\n", "english: Keeping a promise is certainly no sin.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: The Chinese sentence \"守信肯定不是罪孽\" translates to English as \"Keeping one's promises is definitely not a sin.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 除了锅碗盆瓢，还有足够两人吃一个月的东西。\n", "--------------------------------------------------\n", "english: In addition to a wok, bowls, a basin, and ladle, there was enough food for two of us to eat for an entire month.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: In addition to pots, bowls, plates, and瓢, there is enough food for two people for a month.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 最后月亮从门对面的窗子里照进来。 这时我和她分开。\n", "--------------------------------------------------\n", "english: At last the moonlight shone through the window opposite the door and we were separate by then.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: The last sentence in the Chinese text is:\n", "\n", "最后月亮从门对面的窗子里照进来。这时我和她分开。\n", "\n", "Translation:\n", "\n", "The moonlight finally shone in through the window opposite the door. At that moment, she and I parted ways.\n", "\n", "The English translation is complete and conveys the meaning of the Chinese text accurately.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: “审判日”号正在过去，它在通过死亡之琴。\n", "--------------------------------------------------\n", "english: Judgment Day was below them now, passing through the deadly zither.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: \"The Day of Judgment\" was passing by, it was going through the琴of death.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 我以为我的交待材料最有文彩。\n", "--------------------------------------------------\n", "english: I thought of all the confessions mine would be the richest and most vivid.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: I thought my交代 material was the most literary.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 在奶奶脚前的那个轿夫——我后来的爷爷余占鳌，他的心里，有一种不寻常的预感，像熊熊燃烧的火焰一样，把他未来的道路照亮了。\n", "--------------------------------------------------\n", "english: My grandfather, the bearer directly in front of Grandma's foot, felt a strange premonition blazing inside him and illuminating the path his life would take.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: The carriage-bearer in front of Grandma's feet - my later grandfather Yu Zhan'ao - had an unusual预感 in his heart, like a blazing flame, illuminating the path of his future.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 明明听得韦小宝是落在一株芍药花旁，这小鬼手中的宝剑或许已震得远远飞出，可是他的尸体怎会突然不见？\n", "--------------------------------------------------\n", "english: According to his calculation, Trinket must have fallen into the bed of peonies. He could understand that the weapon might have flown from his hand and be lying at quite some distance away, but where was the body?\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: Chinese: 明明听得韦小宝是落在一株芍药花旁，这小鬼手中的宝剑或许已震得远远飞出，可是他的尸体怎会突然不见？\n", "\n", "English:明明 heard that Wei Xiaobao had landed next to a peony flower, perhaps his sword in the hands of this little devil had been sent flying far away, but how could his body suddenly disappear?\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 刘姥姥一面走，一面笑说道：“你老是‘贵人多忘事’了，那里还记得我们？”\n", "--------------------------------------------------\n", "english: Grannie Liu followed her cackling. 'You know what they say: 'Important people have short memories.' I wouldn't expect you to remember the likes of us!'\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: Liu姥姥 walked along, laughing as she said, \"You old folks tend to forget things, don't you? Do you even remember us?\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 侧过了头倾听。\n", "--------------------------------------------------\n", "english: He cocked his head to listen.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: 侧过了头倾听。\n", "\n", "English: Tilted her head to listen.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 我说，既然你不愿意见它，那就算了。\n", "--------------------------------------------------\n", "english: I said, since you don't even want to look at him, let's just forget the whole thing.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: Chinese: 我说，既然你不愿意见它，那就算了。\n", "English: I said, well, if you don't want to see it, then let's just leave it at that.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 下午来打针多是在三四点钟，这一小时总空着，只她们俩，面对面地坐。 夏天午间的困盹还没完全过去，禁不住哈欠连哈欠的。 她们强打精神，自己都不知说的什么。 弄口梧桐树上的蝉一迭声叫，传进来是嗡嗡的，也是不清楚。\n", "--------------------------------------------------\n", "english: Most of Wang Qiyao's patients came between three and four o'clock, so they had an hour to kill. Sitting across from each other in the lazy summer afternoon, they would stifle their yawns and chatter on without fully realizing what they were talking about, as cicadas droned in the parasol tree at the entrance to the longtang.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: The injections were usually given between three and four in the afternoon, an hour that was always empty, just the two of them sitting facing each other. The drowsiness of the midday summer sun had not yet completely faded, and they yawned repeatedly. They tried to stay awake, but they didn't know what they were saying. The cicadas on the Chinese梧桐 tree outside were calling out in chorus, their sound coming in as a hum that was also unclear.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 又伸手在他头颈两侧轻轻一按。\n", "--------------------------------------------------\n", "english: Old Hai reached out his hand and pressed lightly on either side of Trinket's neck.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: Chinese: 又伸手在他头颈两侧轻轻一按。\n", "English: Reaching out, he gently pressed on both sides of his head and neck.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 对于领导来说，我不存在有很大的便利，可以说明此地没有一个知青被打晕。\n", "--------------------------------------------------\n", "english: For our team leader, my nonexistence was very convenient, because then no one could prove any of the city students had been beaten senseless.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: For the leaders, there is considerable convenience in saying that no知青has been knocked out here.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 因问周瑞家的道：“这老老不知用了早饭没有呢？”\n", "--------------------------------------------------\n", "english: She turned to Zhou Rui's wife. 'I wonder if Grannie has eaten yet today?'\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: Chinese: 因问周瑞家的道：“这老老不知用了早饭没有呢？”\n", "English: Therefore, she asked Zhou Rui's wife, \"Do you know if this old lady has had breakfast yet?\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\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", "Qwen/Qwen2-7B-Instruct/shots-00: 周瑞家's words implied her understanding of R姥姥's intentions. She remembered that her husband had received considerable assistance from Go Er's father in purchasing land in the past. Seeing R姥姥's request, she found it hard to refuse. Additionally, she wanted to showcase her own status. She chuckled and said, \"Don't worry, dear.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 那时他刚参加余司令的队伍，任副官在演练场上对他也对其他队员喊：向右转——，王文义欢欢喜喜地跺着脚，不知转到哪里去了。\n", "--------------------------------------------------\n", "english: He had just joined up with Commander Yu. Adjutant Ren ordered the recruits: Right face! Wang Wenyi stomped down joyfully, but where he intended to 'face' was anyone's guess.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: 那时 he had just joined Yu's command, and as deputy officer on the training ground, he shouted to him and the other players: Turn right! Wang Wenyi, delighted, stamped his feet, but he didn't know where to turn.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 只见桌上仍是放着许多碟点心，他取了几块吃了，听得靴子声响，只怕来的不是小玄子，心想先钻入桌底再说，却听得小玄子在门外叫道：“小桂子，小桂子！”\n", "--------------------------------------------------\n", "english: The table was piled high again with good things to eat, and this time Trinket tucked in with a vengeance. Then he heard the flip-ploy of cloth boots again. He ducked under the table, just in case it turned out to be someone other than Misty. 'Laurel! Laurel!' It was Misty's voice calling from the doorway.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: 只见 the table was still piled high with many snacks. He took a few and ate them. Hearing the sound of boots, he feared that it was not Xiao Xuanzi who had come. He thought, \"I'll hide under the table first.\" But then he heard Xiao Xuanzi call out from outside the door, \"Little Guizi, Little Guizi!\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 人家夫妇敦伦，我们无伦可言，只好敦友谊。\n", "--------------------------------------------------\n", "english: Married couples have a code of ethics to strengthen, and we don't have that, so we can only strengthen our friendship.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: The Chinese sentence \"人家夫妇敦伦，我们无伦可言，只好敦友谊\" translates to English as:\n", "\n", "English: \"For others, the conduct of husband and wife adheres to the norms, but we have no such norms to speak of, so we can only strive to cultivate friendship.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 后因曹雪芹于悼红轩中，披阅十载，增删五次，纂成目录，分出章回，又题曰《金陵十二钗》，并题一绝。\n", "--------------------------------------------------\n", "english: Cao Xueqin in his Nostalgia Studio worked on it for ten years, in the course of which he rewrote it no less than five times, dividing it into chapters, composing chapter headings, renaming it The Twelve Beauties of Jinling, and adding an introductory quatrain.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: After Cao Xueqin had gone through the manuscript in the悼红轩 for ten years, adding and revising it five times, compiling the outline, and dividing it into chapters and sections, he titled it The Twelve Golden钗 and inscribed a poem.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 你明儿再这么狐媚子，我先打了你，再叫人告诉学里，皮不揭了你的!\n", "--------------------------------------------------\n", "english: And if I have any more of this nonsense from you in future, young man,' she went on to Jia Huan, 'I'll first give you a good hiding myself and then send someone to tell the school about you and see if they can knock a bit of sense into you!\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: You will be given a Chinese sentence to translate. If it is an incomplete sentence, or if you are unsure about the meaning, simply copy the input text as your output. Do not output any additional sentence such as explanation or reasoning.\n", "\n", "Chinese: 你明儿再这么狐媚子，我先打了你，再叫人告诉学里，皮不揭了你的!\n", "English: You will do it again like this tomorrow, I will beat you up first, and then tell the school, I won't peel your skin!\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 老子就吃过。”\n", "--------------------------------------------------\n", "english: Do try some, it's delicious!'\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: The input sentence is an incomplete sentence in Chinese, and it seems to be a part of a dialogue or a story. The sentence translates to \"I've eaten that myself.\" in English. However, without the context, it's hard to provide a more accurate translation or interpretation. Given the instruction, I will copy the input text as the output:\n", "\n", "Chinese: 老子就吃过。”\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\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", "Qwen/Qwen2-7B-Instruct/shots-00: 宝玉 smiled and said, \"Here, have a chestnut!\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 宝玉见他这般病势，又添了这些烦恼，连忙忍气吞声，安慰他仍旧睡下出汗。\n", "--------------------------------------------------\n", "english: Seeing how ill she looked and realizing that distress of mind could only aggravate her condition, Bao-yu stifled his indignation and did his best to comfort her so that she might be able to settle down once more and continue sweating out the fever.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: Seeing his illness and the added烦恼, Yu Baoyu hurriedly suppressed his anger and comforted him, urging him to lie down and sweat again.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 也到底大家想个方法儿才好。\n", "--------------------------------------------------\n", "english: 'But can't we all sit down peaceably and think of a way?\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: Chinese: 也到底大家想个方法儿才好。\n", "English: It's better for everyone to come up with a way.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 如今王府虽升了官儿，只怕二姑太太还认的咱们，你为什么不走动走动?\n", "--------------------------------------------------\n", "english: Her brother has been promoted; but I shouldn't be surprised if she at least didn't still remember us. Why don't you try your luck with her?\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: Now that the王府 has been promoted, perhaps the Second Aunt Mother still recognizes us. Why don't you go and visit?\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 红土的大板块就分外地滑。\n", "--------------------------------------------------\n", "english: The red clay was very slippery.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: The large板块 of red soil slid particularly easily.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 众人打量了一会，便问：“是那里来的？”\n", "--------------------------------------------------\n", "english: After looking her up and down for a moment or two, they asked her her business.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: The众人 (everyone) looked at each other for a while and asked, \"Where did you come from?\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 斯坦顿上校已经离开了，汪淼拿起了他放在草帽上的望远镜，克服着双手的颤抖观察被“飞刃”切割成四十多片的“审判日”号。\n", "--------------------------------------------------\n", "english: Colonel Stanton had already left. Wang picked up the binoculars he'd left on top of his hat. Overcoming his trembling hands, he observed Judgment Day.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: Colonel Stanton had already left. Wang Miao picked up the telescope that the colonel had set on his straw hat, and, fighting off the tremors in his hands, observed the forty-some pieces of the审判日 that had been sliced by the flying blades.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 我逃跑是晚上的事。\n", "--------------------------------------------------\n", "english: In the evening I made my escape.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: The逃跑 was a matter of the evening.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 但这些细节终不那么真实，浮在面上的，它们刺痛了老克腊的心。\n", "--------------------------------------------------\n", "english: But none of those details looked real; they floated on the surface, piercing Old Colour's heart.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: But these details were not so real, superficial, and they pierced Old克腊's heart.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 众人只得带进那道士来。\n", "--------------------------------------------------\n", "english: The servants were obliged to bring the Taoist into the bedroom.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: 众人只得带进那道士来。\n", "\n", "English: Everyone had no choice but to bring that Taoist in.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 刘姥姥道：“我也知道。\n", "--------------------------------------------------\n", "english: 'I knew all about that,' said Grannie Liu.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: Liu姥姥said, \"I also know.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 于是，红静就和另外三个知青跳下河去捞羊，那时还是凌汛，水面上还浮着一层冰呢！\n", "--------------------------------------------------\n", "english: And so, Hongjing and three other students jumped into the river to save the sheep. It was early spring, and the surface of the river was still covered by a thin layer of ice.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: So, Hong Jing and the other three sentinels jumped into the river to retrieve the sheep. It was still the time of凌汛, with a layer of ice still floating on the water surface!\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\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", "Qwen/Qwen2-7B-Instruct/shots-00: 英文: Pick her up, sit her in the chair, and say, \"Watch closely. I'll point to different parts of your body. If I point to the right place, you'll blink three times. If I point to the wrong place, your eyes will stay wide open and you won't be able to move at all.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 至脂砚斋抄阅再评，仍用《石头记》。\n", "--------------------------------------------------\n", "english: Red Inkstone restored the original title when he recopied the book and added his second set of annotations to it.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: Until脂砚斋 copied and read it again, still using The Stone Records.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 我师意为如何？”\n", "--------------------------------------------------\n", "english: What does your reverence say to that?'\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: The Chinese sentence \"我师意为如何？” is a complete sentence. It translates to \"What is the meaning of my teacher's statement?\" in English.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 因此，他们无名无姓的，默默耕耘着自己的一方田地。\n", "--------------------------------------------------\n", "english: And so they remained nameless, silently tilling their little plot of land.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: Therefore, they are nameless and anonymous, toiling默默in their own piece of land.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 宝玉笑道：“你学惯了，明儿连你还咬起来呢。”\n", "--------------------------------------------------\n", "english: 'You'd better not imitate her,' said Bao-yu. 'It'll get to be a habit. You'll be lisping yourself before you know where you are.'\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: 宝玉笑道: \"You'll even start biting me tomorrow when you get used to it.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 走上公路后，父亲顿时感到身体灵巧轻便，脚步利索有劲，他松开了抓住余司令衣角的手。\n", "--------------------------------------------------\n", "english: Once he stepped onto the highway, Father felt suddenly light and nimble; with extra spring in his step, he let go of Commander Yu's coat.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: After stepping onto the highway, Father immediately felt his body agile and light, his steps brisk and有力. He released the corner of Commander Yu's coat that he had been holding.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 这阴沉气有时是东西厢房的薰衣草气味，有时是樟脑丸气味，还有时是肉砧板上的气味。\n", "--------------------------------------------------\n", "english: This murky air sometimes smells like lavender in a bedroom, sometimes like mothballs, and at other times like a kitchen chopping block.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: This gloomy atmosphere could sometimes be the scent of lavender in the east and west rooms, sometimes the smell of樟脑 balls, and sometimes the odor of a meat cutting board.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 蕊初低声道：“我…… 我……”\n", "--------------------------------------------------\n", "english: 'I. . . I. . .' Blossom began.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: 蕊初 whispered softly, \"I... I...\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 我说：我不会讲汉话哟！\n", "--------------------------------------------------\n", "english: I said, I'm hopeless at speaking Mandarin.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: Chinese: 我说：我不会讲汉话哟！\n", "English: I said: I can't speak Mandarin!\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 轿里牺牲的哽咽和轿后唢呐的伴奏，使他们心中萍翻桨乱，雨打魂幡。\n", "--------------------------------------------------\n", "english: The sacrificial choking sounds from inside the chair and the woodwind accompaniment had made them restless and uneasy, had set their souls adrift.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: The sobbing of the sacrifice in the sedan chair and the accompanying sound of the唢呐 in the sedan chair's rear stirred their hearts, causing them to feel chaotic like paddling in a pond, and the rain beating against the spirit banner.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 因此一事，就勾出多少风流冤家都要下凡，造历幻缘，那绛珠仙草也在其中。\n", "--------------------------------------------------\n", "english: 'Because of this strange affair, Disenchantment has got together a group of amorous young souls, of which Crimson Pearl is one, and intends to send them down into the world to take part in the great illusion of human life.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: Therefore, how many lovers would descend to the mortal world for this matter, creating illusory karma and缘分, and the Vermilion Pearl Spirit Grass was among them.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 过得几日，你便要他们带你到上书房去。\n", "--------------------------------------------------\n", "english: Then, after a few days you're to ask them to take you to the Upper Library.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: Translate the given Chinese sentence into English. If it is an incomplete sentence or if you are unsure about the meaning, simply copy the input text as your output. Do not provide any additional sentences such as explanations or reasoning.\n", "\n", "Chinese: 过得几日，你便要他们带你到上书房去。\n", "English: After a few days, you will have to take them to the upper study.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 在我看来，义气就是江湖好汉中那种伟大友谊。\n", "--------------------------------------------------\n", "english: In my opinion, brotherhood was the kind of great friendship that only existed among the outlaws of the forest.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: In my view, loyalty is that great friendship among the brave warriors of the江湖.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 但见她眉淡睫长，嘴小鼻挺，容颜着实秀丽，自言自语：“你是郡主娘娘，心中一定瞧不起我这小太监，我也瞧不起你，大家还不是扯直？”\n", "--------------------------------------------------\n", "english: She had fine eyebrows, long lashes, a small mouth and a slightly aquiline nose. But Trinket was unimpressed. 'Little Countess Lah-di-dah,' he said. 'I expect you look down on a little eunuch like me. Well, I don't think much of you either, so that makes us quits.'\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: But I saw her eyebrows light, her eyelashes long, her mouth small, her nose挺, her face truly beautiful. She muttered to herself, \"You are the princess, and you must look down on me, a small eunuch. I also look down on you. But in the end, don't we all end up the same?\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 那宾馆区的灯光却因为天地楼群的大和高，显得有些寂寥，却是璀璨的寂寥，有一些透心的快乐似的。\n", "--------------------------------------------------\n", "english: The lights over in the hotel district look a little lonely due to the heights of the buildings around it, but theirs is a resplendent loneliness that pierces the heart with rapture.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: The lighting in that hotel district, however,显得有些寂寥显得 somewhat desolate because of the grandeur and height of the skyscrapers, yet it was a splendid desolation, as if it brought a sense of profound joy.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 沐王府的高手再多，总敌不过大内侍卫。\n", "--------------------------------------------------\n", "english: However many of their ace fighters the Mu Family may have got in the city, they're not going to take on the Palace Guard.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: The experts from the沐王府 might be numerous, but they still cannot match up to the imperial guards.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 只见她微笑着招手，韦小宝大喜，轻轻闪身过门。 蕊初又将门掩上了，在他耳畔低声道：“我怕你进不来，已在这里等了许久。”\n", "--------------------------------------------------\n", "english: She smiled at him and beckoned to him to come in. He complied happily, and when he had slipped inside, she fastened the gate after him. 'I thought I'd better wait here in case you had trouble getting in,' she said softly in his ear. 'I've been waiting ever such a long time.'\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: 只见 her waving and smiling, Wei Xiaobao was overjoyed as he slipped past the door. Rui Chou then closed the door, whispering close to his ear, \"I was afraid you wouldn't be able to get in, so I've been waiting here for a long time.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\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", "Qwen/Qwen2-7B-Instruct/shots-00: Chinese: 海老公摇头道：“好什么？\n", "English: Hai Laogong shook his head and said, \"What's good?\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 说完这小免崽子就往河岸上窜，想一走了之。\n", "--------------------------------------------------\n", "english: After saying this, the little bastard tried to leap onto the bank to escape.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: 说完 this little rabbit ran towards the riverbank, wanting to escape.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 程先生倒反有些窘，说：随便问问的。\n", "--------------------------------------------------\n", "english: Mr. Cheng grew a bit self-conscious. 'I was only asking.'\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: Mr. Cheng was actually a bit embarrassed, saying, \"Just asking随便 asking.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 但沙瑞山立刻抽走了他怀中这唯一的一根救命稻草。\n", "--------------------------------------------------\n", "english: But Sha then deprived him of this last glimmer of hope.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: But Shan瑞Shan immediately withdrew this last straw of salvation from his bosom.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 士隐慌忙起身谢道：“恕诓驾之罪，且请略坐，弟即来奉陪。”\n", "--------------------------------------------------\n", "english: Shi-yin hurriedly rose up and excused himself: 'I seem to have brought you here under false pretences. I do hope you will forgive me. If you don't mind sitting on your own here for a moment, I shall be with you directly.'\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: 士隐 hurriedly got up and thanked him, \"Forgive me for misleading you, please wait a moment, I will come to accompany you.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 轿夫抬轿从街上走，迈的都是八字步，号称“踩街”，这一方面是为讨主家欢喜，多得些赏钱； 另一方面，是为了显示一种优雅的职业风度。\n", "--------------------------------------------------\n", "english: As the bearers carried their load down the path, their feet left a series of V imprints known as 'tramples' in the dirt, for which satisfied clients usually rewarded them, and which fortified the bearers' pride of profession.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: Porters carry the sedan chair down the street, taking the八字 step, known as \"walking the street\". On the one hand, this is to please the host family and earn more money in tips; on the other hand, it is to display a certain elegance in their professional demeanor.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 因见上面大旨不过谈情，亦只是实录其事，绝无伤时诲淫之病，方从头至尾抄写回来，闻世传奇。\n", "--------------------------------------------------\n", "english: He could see that its main theme was love; that it consisted quite simply of a true record of real events; and that it was entirely free from any tendency to deprave and corrupt. He therefore copied it all out from beginning to end and took it back with him to look for a publisher.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: Because it only discusses love, and simply records the events as they occurred, without any harmful or诲淫content, I copied the entire text, hearing that it was a legendary tale in the world.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 这刘姥姥方安顿了，便说道：“我今日带了你侄儿，不为别的，因他爹娘连吃的没有，天气又冷，只得带了你侄儿奔了你老来。”\n", "--------------------------------------------------\n", "english: Having all this while had time to collect herself, Grannie Liu began her speech again: 'The real reason I have brought your little nephew here today is because his Pa and Ma haven't anything in the house to eat, and the weather is getting colder, and – and – I thought I'd bring him here to see you...'\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: This Liu姥姥 settled down, and said, \"I brought your nephew today not for any other reason, because his parents don't even have food to eat, and the weather is cold, so I had to bring your nephew to see you.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 只见她脸颊雪白，没半分血色，长长的睫毛不住颤动，想是心中十分害怕，笑道：“你不用怕，我不会杀了你的。\n", "--------------------------------------------------\n", "english: From the snowy pallor of her cheeks, drained of all their colour, and the fluttering of her long eyelashes, he could tell that she was very frightened. 'Don't be afraid,' he said. 'I'm not going to kill you.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: 只见她脸颊雪白，没半分血色，长长的睫毛不住颤动，想是心中十分害怕，笑道：“你不用怕，我不会杀了你的。\n", "\n", "English:\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 一家四口，以务农为业。 因狗儿白日间自作些生计，刘氏又操井臼等事，青板姊弟两个无人照管，狗儿遂将岳母刘姥姥接来，一处过活。\n", "--------------------------------------------------\n", "english: The four of them depended on agriculture for their living, and since, with Gou-er himself busy most of the day on the land and his wife busy about the farm drawing water, pounding grain, and the like, there was no one to look after Qing-er and her little brother, Gou-er invited his mother-in-law, old Grannie Liu, to come and live with them.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: A family of four, farming for a living. As Doggy found ways to earn a living during the day, Liu Si also managed household chores, leaving Qingpan's siblings无人 to look after them. So, Doggy invited his mother-in-law, Liu Laolao, to come and live with them, so they could all live together.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 周瑞家的认了半日，方笑道：“刘姥姥，你好?\n", "--------------------------------------------------\n", "english: Zhou Rui's wife scrutinized her questioningly for some moments before finally recognizing her. 'Why, it's Grannie Liu! How are you?\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: Zhou Rui's family recognized her for half a day before laughing and saying, \"Rao姥姥, how are you?\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 我抬举起你来，这会子我来了，你大模厮样儿的躺在炕上，见了我也不理一理儿。\n", "--------------------------------------------------\n", "english: After all I've done for you – and now when I come to call on you, you lie back there on the kang like a young madam and haven't even the grace to look up and take notice of me! You and your airs and graces!\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: I lifted you up, and now that I'm here, you're lying there in a grand manner on the炕, not even acknowledging me.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 大江南北，见闻所及，不但读书人反对鞑子，而贩夫走卒、屠沽市井之中，也到处有热血满腔的豪杰。\n", "--------------------------------------------------\n", "english: And wherever I've been, north or south of the River, I've discovered that it isn't only among educated people like ourselves that resistance to the Tartars is to be found. Many of our most ardent patriots are small tradesmen, Yamen runners, or market folk—people belonging to the very lowest ranks of society.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: From the Yangtze River to the north, wherever I've heard of, not only scholars are against the Mongols, but also among the common people, laborers, butchers, and merchants, there are heroes with full hearts of热血.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 说毕，二人去了。\n", "--------------------------------------------------\n", "english: Jia Qiang and Jia Rong then went off leaving him to himself.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: 说完， the two people went.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 说完这话，他觉着自己也要流泪，赶紧拎起热水瓶回房间去了。\n", "--------------------------------------------------\n", "english: With those words he could feel the tears welling up and hastened back into the room with the hot water thermos.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: 说完 this sentence, he felt like he was about to cry, so he hurriedly picked up the hot water bottle and went back to his room.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 漫山冷雾时，腰上别着刀子，足蹬高统雨靴，走到雨丝里去。\n", "--------------------------------------------------\n", "english: When cold mist drifted over the mountain, she would tuck a knife into her belt, put on a pair of rain boots, and enter the drizzle.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: When the mountains were shrouded in cold fog, with a knife tucked into my waist and high统 rain boots on my feet, I walked into the raindrops.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 我们在地头休息时，陈清扬拿斗笠盖住脸，敞开衬衣的领口，马上就睡着了。\n", "--------------------------------------------------\n", "english: During our break at the edge of the field, Chen Qingyang covered her face with a bamboo hat, opened her shirt collar, and immediately fell asleep.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: When we were resting at the field, Chen Qingyang covered her face with her笠and opened the collar of her blouse, and she fell asleep right away.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 高粱深处，蛤蟆的叫声忧伤，蝈蝈的唧唧凄凉，狐狸的哀鸣悠怅。\n", "--------------------------------------------------\n", "english: From deep in the sorghum came the melancholy croaks of toads, the dreary chirps of grasshoppers, and the plaintive howls of foxes.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-00: In the depths of the sorghum, the frogs' croaks were mournful, the crickets' chirps凄凉, and the foxes' mournful howls were melancholic.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-00: 1\n", "### Analyzing: Qwen/Qwen2-7B-Instruct/shots-01\n", "*** Found 0 rows with total_repetitions > 50 for Qwen/Qwen2-7B-Instruct/shots-01\n", "\n", "*** Found 0 rows with output_tokens >= 300 for Qwen/Qwen2-7B-Instruct/shots-01\n", "\n", "*** Found 86 rows with incomplete translations for Qwen/Qwen2-7B-Instruct/shots-01\n", "--------------------------------------------------\n", "chinese: 钱老板道：“是，是，多谢香主。” 在一张椅上坐了，续道：“属下将小郡主藏在猪肚里带进宫来，一来是为瞒过宫门侍卫的重重搜检，二来是要瞒过沐王府众人的耳目。\n", "--------------------------------------------------\n", "english: 'Thank you, Master,' said Butcher Qian, seating himself in one of the chairs and continuing. 'There were really two reasons why I hid the Little Countessinside this pig's carcass. One was to get her past the Palace Guard: they always search everyone at the gate. But it was also to get her past any of the Mu Family spies who might be out watching for us.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: Money boss said, \"Yes, yes, thank you for your hospitality.\" He sat on a chair and continued, \"I hid the princess in the pig's stomach to enter the palace, one reason was to deceive the guards at the palace gates, and the other was to avoid the notice of the people in the Mu王府.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 但已经晚了，物理学家静静地躺在地上，半睁的双眼看着从他的头颅上流出的血迹，疯狂的会场瞬间陷入了一片死寂。\n", "--------------------------------------------------\n", "english: But it was already too late. The physicist lay quietly on the ground, his eyes still open as blood oozed from his head. The frenzied crowd sank into silence.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: But it was too late. The physicist lay quietly on the ground, his half-open eyes staring at the blood spreading out from his head, and the疯狂 (crazy) scene instantly fell into a deathly silence.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 他知道，这都是被转化为可见光的厘米微波，每团光晕的中心就是一个发射源，由于波长的原因，不可能看清形状。\n", "--------------------------------------------------\n", "english: He realized that these were sources of radiation in the centimeter range, all now converted to visible light. At the heart of each halo was a radiation source. Because the original wavelengths were so long, it was impossible to see their shapes clearly.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: He knew that these were centimeter microwaves converted into visible light, with each光环 having a source at its center, and due to the wavelength, it was impossible to discern their shapes.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 宝玉笑道：“只从那个月见了你，我叫你往书房里来，谁知接接连连许多事情，就把你忘了。”\n", "--------------------------------------------------\n", "english: 'After I invited you round to my study that day,' said Bao-yu, 'a whole lot of things seemed to happen one after the other, and I'm afraid I quite forgot about your visit.'\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: 宝玉 smiled and said, \"Ever since that month when I asked you to come to the study, I've been preoccupied with a series of events and forgot all about you.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 宝玉便说：“打宝姐姐那里来。”\n", "--------------------------------------------------\n", "english: 'Bao-chai's.'\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: 宝玉便说：“打宝姐姐那里来。”\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 两人正打趣，客人来了，严师母表姐弟俩一同进了门，都带着礼物。\n", "--------------------------------------------------\n", "english: Their jovial banter was interrupted by the guests, who had come bearing gifts.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: As the two were joking around, the guests arrived, and the two nieces and nephews of Mrs. Yan, her表姐弟 (cousins), entered the door together, each bringing a gift.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 一是我在慰问团面前说出了曾经被打晕的事，叫军代表很没面子；二是争风吃醋，所以他一直修理我。\n", "--------------------------------------------------\n", "english: Firstly, I told the relief delegation that I had been beaten unconscious, which made the military deputy lose face; secondly, he and I fought over a woman, which was why he was always trying to screw me.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: Firstly, I revealed the incident where I was knocked out in front of the慰问团, which made the military representative lose face; secondly, there was jealousy and rivalry, so he constantly punished me.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 可巧凤姐正在上房算了输赢帐，听见后面一片声嚷，便知是李嬷嬷老病发了，又值他今儿输了钱，迁怒于人，排揎宝玉的丫头。\n", "--------------------------------------------------\n", "english: Xi-feng happened to be in Grandmother Jia's room totting up the day's scores for the final settlement when she heard this hubbub in the rear apartment. She identified it immediately as Nannie Li on the rampage once more, taking out on Bao-yu's unfortunate maids some of the spleen occasioned by her recent gambling losses.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: Just as巧姐 was in the main room calculating her losses and gains, she heard a loud commotion from behind. Knowing that it was Old Nurse Li who had a relapse of her illness, and that she had lost money today, she directed her anger at others, blaming the servants who were scolding宝玉.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 要好的只好等袭人来。”\n", "--------------------------------------------------\n", "english: If nothing but the best will do, you'd better wait for Aroma to come.'\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: If you want it done properly, you'll have to wait for袭人 to come.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 刘姥姥心中想着：“这是什么东西? 有煞用处呢？”\n", "--------------------------------------------------\n", "english: 'I wonder what that can be,' she thought to herself, 'and what it can be used for?'\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: Liu姥姥 was thinking to herself, \"What is this? What use could it possibly have?\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 钱老板道：“正是。 沐王府小公爷的嫡亲妹子。\n", "--------------------------------------------------\n", "english: 'Young Lord Mu's little sister,' said Butcher Qian.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: Money Boss said, \"Indeed. She is the legitimate younger sister of the Young Prince of the沐王府.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 刘姥姥感谢不尽，仍从后门去了。\n", "--------------------------------------------------\n", "english: And so, with many expressions of gratitude, the old lady took her leave and set out once more through the back gate of the mansion.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: Liu姥姥 thanked endlessly and still went out through the back door.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 我和陈清扬在章风山上做爱，有一只老水牛在一边看。\n", "--------------------------------------------------\n", "english: When Chen Qingyang and I made love on Mount Zhang Feng, an old buffalo alongside us watched.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: My English translation:\n", "\n", "Chinese: 我和陈清扬在章风山上做爱，有一只老水牛在一边看。\n", "English: I had sex with Chen Qingyang on Zhangfeng Mountain, while an old water buffalo watched nearby.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 钱老板道：“这是沐王府的郡主。”\n", "--------------------------------------------------\n", "english: 'She's the Little Countess,' said Butcher Qian. The Mu Family's Little Countess.'\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: Money Master said, \"This is the princess of the Mu王府.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 半日鸦雀不闻。 忽见两个人抬了一张炕桌来，放在这边炕上，桌上碗盘摆列，仍是满满的鱼肉，不过略动了几样。\n", "--------------------------------------------------\n", "english: A long silence ensued in which not so much as a cheep could be heard; then two women came in bearing a small, low table which they set down on the kang. It was covered with bowls and dishes containing all kinds of meat and fish, only one or two of which appeared to have been touched.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: Half a day, not a single sound was heard. Suddenly, I saw two people carrying a table and placing it on this side of the炕, with dishes and bowls arranged on it, still full of fish and meat, though a few items had been slightly moved.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 黄宗羲道：“我二人来此，乃是为了二瞻先生的那位本家伊璜先生。\n", "--------------------------------------------------\n", "english: 'It has to do with Erzhan's kinsman Yihuang, ' said Huang.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: Huang Zongxi said, \"Our two coming here is for Master Yi Huang, the cousin of Scholar瞻.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 薛蟠忙道：“好兄弟，我原为求你快些出来，就忘了忌讳这句话，改日你要哄我，也说我父亲，就完了。”\n", "--------------------------------------------------\n", "english: 'Now look here, old chap,' said Xue Pan, getting agitated, 'it was only because I wanted to fetch you out a bit quicker. I admit it was very wrong of me to make free with your Parent, but after all, you've only got to mention my father next time you want to fool me and we'll be quits!'\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: 薛蟠 hurriedly said, \"Good brother, I originally wanted you to come out quickly, so I forgot this taboo phrase. In the future, if you want to trick me, just say my father, and that will be enough.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 一个弓着腰的老头，迎着他们上来，把眼睛几乎贴到爷爷脸上打量着。\n", "--------------------------------------------------\n", "english: A hunched-over elderly man rose to greet them, carefully sizing up Granddad with his ancient eyes, nearly touching his face.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: An old man bent over,迎着 them, came up, scrutinizing Grandpa's face with his eyes almost touching it.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 劫路人一声惨叫，半截吐出口外，半截咽到肚里，血从他鼻子里流出来。\n", "--------------------------------------------------\n", "english: The man shrieked in pain; blood trickled from his nose.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: The bandit let out a惨叫, spitting half of it out and swallowing the other half, blood flowing out of his nose.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 红色联合的红卫兵们退后一段距离，将那个挂在高处的躯体当靶子练习射击，密集的子弹对她来说已柔和如雨，不再带来任何感觉。\n", "--------------------------------------------------\n", "english: The Red Guards backed up some distance and began to use the impaled body for target practice. For her, the dense storm of bullets was now no different from a gentle rain, as she could no longer feel anything.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: The Red Guards from the Red Alliance stepped back, treating the body hanging high up as a target for practice shooting. The密集 bullets were as gentle as rain to her, no longer causing any sensation.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 叶文洁暗想，他们怎么敢上雷达峰？\n", "--------------------------------------------------\n", "english: Ye wondered how they dared to come onto Radar Peak.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: Yè Wénjié yìncǎng xiǎng, tāmen zěnme gǎn shàng dàiláifēng?\n", "\n", "Chinese: 他把头埋在了臂弯里。\n", "English: Tā bǎ tóu mái zài le bìyuán lǐ.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 凤姐道：“不知什么缘故。”\n", "--------------------------------------------------\n", "english: 'I don't know what the reason can be,' said Xi-feng.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: 凤姐道：“不知什么缘故。”\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 凤姐笑而不睬，叫平儿把昨儿那包银子拿来，再拿一串钱，都送至刘姥姥跟前。\n", "--------------------------------------------------\n", "english: But Xi-feng laughed quite unconcernedly and told Patience to wrap up the silver and also to fetch a string of cash to go with it. The money was set down in front of Grannie Liu.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: 凤姐 smiled but ignored the request, instructing Ping'er to bring the silver from yesterday and a string of coins, which she then placed in front of Mrs. Liu.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 顾炎武道：“当今之世，便真有桃源乐土，咱们也不能独善其身，去躲了起来……”\n", "--------------------------------------------------\n", "english: 'Come,' said Gu, 'even if there were such a place, we cannot, as individuals, opt out altogether. In times like these—'\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: Gu Yanwu said, \"In this world, even if there were a桃源乐土, we couldn't be self-righteous and hide away...\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 凤姐道：“可知男人家见一个爱一个也是有的。”\n", "--------------------------------------------------\n", "english: 'Men are all the same!' said Xi-feng. 'They have only to set eyes on a woman to begin another affair.'\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: 凤姐道：“可知男人家见一个爱一个也是有的。”\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 除了锅碗盆瓢，还有足够两人吃一个月的东西。\n", "--------------------------------------------------\n", "english: In addition to a wok, bowls, a basin, and ladle, there was enough food for two of us to eat for an entire month.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: Aside from pots, bowls, plates, and瓢, there were also enough provisions for the two of them to last a month.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: “审判日”号正在过去，它在通过死亡之琴。\n", "--------------------------------------------------\n", "english: Judgment Day was below them now, passing through the deadly zither.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: \"The Judgement Day\" is passing by, it's going through the琴 of Death.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 凤姐道：“这会子你先去罢。”\n", "--------------------------------------------------\n", "english: 'Now I think you had better go.'\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: 凤姐道：“这会子你先去罢。”\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 在奶奶脚前的那个轿夫——我后来的爷爷余占鳌，他的心里，有一种不寻常的预感，像熊熊燃烧的火焰一样，把他未来的道路照亮了。\n", "--------------------------------------------------\n", "english: My grandfather, the bearer directly in front of Grandma's foot, felt a strange premonition blazing inside him and illuminating the path his life would take.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: The carriage bearer in front of Grandma's feet - my later grandfather Yu Zhan'ao - had an unusual预感 in his heart, like a blazing flame, illuminating his future path.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 刘姥姥一面走，一面笑说道：“你老是‘贵人多忘事’了，那里还记得我们？”\n", "--------------------------------------------------\n", "english: Grannie Liu followed her cackling. 'You know what they say: 'Important people have short memories.' I wouldn't expect you to remember the likes of us!'\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: As Liu姥姥walked, she laughed and said, \"You're the one who's 'forgetful of the great,' you know. How could you possibly remember us?\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 侧过了头倾听。\n", "--------------------------------------------------\n", "english: He cocked his head to listen.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: 侧过了头倾听.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 爷爷走着，他已经感觉不到自己的腿在何处，只是凭着一种走的强烈意念，在僵硬的空气的浊浪中，困难地挣扎。\n", "--------------------------------------------------\n", "english: All that kept Granddad moving was a powerful drive to push on and continue the bitter struggle against wave after murky wave of obdurate air.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: Grandfather was walking, and he could no longer feel where his legs were, only relying on a strong sense of movement, struggling艰难地 in the thick waves of stagnant air.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 对于领导来说，我不存在有很大的便利，可以说明此地没有一个知青被打晕。\n", "--------------------------------------------------\n", "english: For our team leader, my nonexistence was very convenient, because then no one could prove any of the city students had been beaten senseless.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: For the leaders, there's no significant convenience in my case, indicating that no知青 has been knocked out here.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\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", "Qwen/Qwen2-7B-Instruct/shots-01: Zhou Rui's lady heard this and guessed the purpose of the visit. It was due to her husband's past dealings with the land purchase where he received significant help from Dog Er's father, and now seeing how R姥姥 was, she found it hard to refuse her request. Additionally, she also wanted to showcase her own status. She then said with a laugh, \"Don't worry, dear, everything will be fine.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 单家利用廉价原料酿酒牟利，富甲一方。 我奶奶能嫁给单扁郎，是我外曾祖父的荣耀。\n", "--------------------------------------------------\n", "english: By using cheap grain to make wine, the Shan family made a very good living, and marrying my grandma off to them was a real feather in Great-Granddad's cap.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: Single households profit from brewing liquor with cheap ingredients, becoming extremely wealthy. My grandmother marrying Single Flat郎 is a source of pride for my great-great-grandfather.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 7. 开麦拉\n", "--------------------------------------------------\n", "english: Camera\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: Chinese: 7. 开麦拉\n", "English: 7. Camera roll\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 后因曹雪芹于悼红轩中，披阅十载，增删五次，纂成目录，分出章回，又题曰《金陵十二钗》，并题一绝。\n", "--------------------------------------------------\n", "english: Cao Xueqin in his Nostalgia Studio worked on it for ten years, in the course of which he rewrote it no less than five times, dividing it into chapters, composing chapter headings, renaming it The Twelve Beauties of Jinling, and adding an introductory quatrain.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: Later, Cao Xueqin, after ten years of work in the Pavilion of Mourning Red, added and revised the text five times, compiled the outline, and divided it into chapters and sections. He then titled it The Twelve Golden钗and also wrote a poem.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 这想象力是龙门能跳狗洞能钻的，一无清规戒律。\n", "--------------------------------------------------\n", "english: With the imagination completely free from all fetters, gossip can leap through the dragon's gate and squeeze through the dog's den.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: This imagination is like being able to leap over the Dragon Gate and钻through dog holes, without any clear rules or restrictions.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 程先生回来时，正好康明逊走，两人在楼梯上擦肩而过，互相看了一眼，也没留下什么印象。\n", "--------------------------------------------------\n", "english: Kang Mingxun was just on his way out as Mr. Cheng came back from work. Passing on the stairs, they exchanged a quick glance but neither left much of an impression on the other.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: When Mr. Cheng returned,正好it was just as Kang Mingxun was leaving. They passed each other on the stairs, glanced at each other, and made no particular impression on each other.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\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", "Qwen/Qwen2-7B-Instruct/shots-01: \"Let me give you a chestnut to eat!\"宝玉 laughed.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 宝玉见他这般病势，又添了这些烦恼，连忙忍气吞声，安慰他仍旧睡下出汗。\n", "--------------------------------------------------\n", "english: Seeing how ill she looked and realizing that distress of mind could only aggravate her condition, Bao-yu stifled his indignation and did his best to comfort her so that she might be able to settle down once more and continue sweating out the fever.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: When he saw him in such a state of illness and added to this some worries,宝玉 hurriedly held his temper and comforted him, making him lie down and sweat again.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 它们是自行其事，你说你的，它说它的，什么样的有公论的事情，在它都是另一番是非。\n", "--------------------------------------------------\n", "english: They mind their own business: whatever others may say, they will stick to their version—to them even settled opinions are taken under advisement.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: They do as they please. You say one thing, and they say another. There's no fair judgment in what they do.\n", "\n", "Chinese: 他把那张照片撕碎了。\n", "English: He tore up that picture.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 如今王府虽升了官儿，只怕二姑太太还认的咱们，你为什么不走动走动?\n", "--------------------------------------------------\n", "english: Her brother has been promoted; but I shouldn't be surprised if she at least didn't still remember us. Why don't you try your luck with her?\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: Now that the王府 has advanced in rank, perhaps the Second Aunt Madam still recognizes us. Why don't you make an effort to visit her?\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 平安里的一日生计，是在喧嚣之中拉开帷幕；粪车的轱辘声，涮马桶声，几十个煤球炉子在弄堂里升烟，隔夜洗的衣衫也晾出来了，竹竿交错，好像在烟幕中升旗。\n", "--------------------------------------------------\n", "english: Mornings, however, begin with night-soil carts, clattering in to collect waste for fertilizer, and the raspy noises of brushes scrubbing out commodes. Amid the smoke of coal burners, laundry soaked overnight is taken out to be hung, banner-like, on bamboo poles.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: In平安里, the daily routine unfolds amidst the hustle and bustle; the sound of the dung cart's wheels, the flush of the toilet, the smoke from dozens of coal stoves in the alley, and the clothes from the previous night's wash hanging out to dry, with bamboo poles crossing each other, as if raising a flag in the smoke.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 在我看来，这东西无比重要，就如我之存在本身。\n", "--------------------------------------------------\n", "english: To me, the thing was extremely important, as important as my existence itself.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: In my view, this thing is无比 important, just like the essence of my existence.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 这件事离了题，所以就没写。\n", "--------------------------------------------------\n", "english: So the incident seemed beside the point and I didn't write about it.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: This translation is incomplete and unclear, so I will copy the input text as the output.\n", "\n", "Chinese: 这件事离了题，所以就没写。\n", "English: This translation is unclear, so I will copy the input text as the output.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 一面说，一面禁不住流泪，又怕宝玉烦恼，只得又勉强忍着。\n", "--------------------------------------------------\n", "english: She cried weakly as she said this, but presently checked herself for fear of upsetting Bao-yu.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: As she spoke, tears couldn't help falling, but she was afraid to distress宝玉, so she could only try to hold back her tears勉强.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 说道：“有一点点痛，也没什么有趣。”\n", "--------------------------------------------------\n", "english: But all he said was: 'It hurts a bit. I wouldn't have said it was interesting exactly.'\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: \"有一点点痛，也没什么有趣。\"\n", "\n", "English: \"There's a little pain, and nothing particularly interesting.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 它们又辽阔又密实．有些像农人撒播然后丰收的麦田，还有些像原始森林，自生自灭的。\n", "--------------------------------------------------\n", "english: At once dense and wide-ranging, they resemble rye fields where the farmers, having scattered their seeds, are now harvesting a rich crop. Then again, they are a little like a pristine forest, living and dying according to its own cycle.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: They are vast and dense, somewhat like fields of wheat sown by farmers and then harvested, and also like原始 forests, thriving on their own.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 刘姥姥道：“我也知道。\n", "--------------------------------------------------\n", "english: 'I knew all about that,' said Grannie Liu.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: Liu姥姥 said, \"I also know.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 于是，红静就和另外三个知青跳下河去捞羊，那时还是凌汛，水面上还浮着一层冰呢！\n", "--------------------------------------------------\n", "english: And so, Hongjing and three other students jumped into the river to save the sheep. It was early spring, and the surface of the river was still covered by a thin layer of ice.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: So, Hong Jing and the other three Red Guards jumped into the river to save the sheep. It was still the time of凌汛, and the surface of the water was covered with a layer of ice!\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 在夏夜的屋顶上，躺着看星空的其实不止一个孩子，他们心里都是有些鼓荡，不知要往哪里去，就来到屋顶。\n", "--------------------------------------------------\n", "english: And Old Colour certainly wasn't the only one stargazing from the rooftop on those summer nights; the hearts of all these people are restless and unsure of where to go—and so up they go to the rooftops.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: On the summer night's rooftop, more than one child was lying there仰ing at the starry sky. They all felt a bit restless, unsure of where to go, so they ended up on the rooftop.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 那贾芸嘴里和宝玉说话，眼睛却瞅那丫鬟：\n", "--------------------------------------------------\n", "english: Jia Yun was talking to Bao-yu as she approached, but his eyes were on her.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: That贾芸Jia Yun was speaking with the prince of宝玉Yu Ba, but his eyes were looking at the maid:\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 他从来没这样狼狈过，高密东北乡吹唢吶的好手从来没这样狼狈过。\n", "--------------------------------------------------\n", "english: The great woodwind player of Northeast Gaomi Township had never been in such a mess.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: He had never been in such a desperate situation before, nor had the skilled players of the唢吶 in Gaomei's Northeast Village.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 爷爷从黑土大地上捡起我奶奶亲手制造的拤饼，大口吞吃，焦黄的牙齿上，沾着饼屑和一个个血泡沫。\n", "--------------------------------------------------\n", "english: He picked up one of Grandma's fistcakes from the dark earth, bit off a chunk, and swallowed it. Cake crumbs and flecks of bubbly blood stuck to his stained teeth.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: Grandfather picked up the kuaiping, a pancake made by my grandmother with her own hands, from the black earth. He ate it in large bites, the焦黄 (caramelized) teeth stained with pancake crumbs and little blood bubbles.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 宝玉笑道：“你学惯了，明儿连你还咬起来呢。”\n", "--------------------------------------------------\n", "english: 'You'd better not imitate her,' said Bao-yu. 'It'll get to be a habit. You'll be lisping yourself before you know where you are.'\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: 宝玉 smiled and said, \"You're so used to it that you might even start biting me tomorrow.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 只觉天涯茫茫，到处是鞑子的天下，真无一片干净土地，沉吟道：“桃源何处，可避暴秦？\n", "--------------------------------------------------\n", "english: The whole world belonged to the Tartars now, it seemed. Not a single patch of land was free of their hated presence. He thought of the poet Tao Yuanming's story about the fisherman who, by following a stream that flowed between flowering peach trees, had stumbled on an earthly paradise—a place where refugees from ancient tyranny had found a haven.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: I felt that the world was vast and empty, with the Mongol rule everywhere, and no clean land to be found. I pondered, \"Where is the桃源, a place to escape the tyrannical Qin?\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 这时，她倒平静下来，心情也松弛了，等那化妆师结束工作走开时，她甚至还生出几分幽默感同吴佩珍开玩笑。 吴佩珍说她简直像是嫦娥下凡，她就说嫦娥也是月饼盒上的嫦娥，于是两人都笑。\n", "--------------------------------------------------\n", "english: It was then that she began to calm down and her tensions eased. By the time the makeup man finished his job, she had even started to regain her sense of humor and joked around a bit with Wu Peizhen, who remarked that Wang Qiyao looked like the Lady in the Moon descending into the secular world, whereupon Wang Qiyao quipped that if she were a Lady in the Moon, she was the kind whose image was found on boxes of mooncakes. The two of them had a good laugh.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: At this point, she calmed down, her mood relaxed. When the makeup artist finished her work and left, she even found a sense of humor to joke with Wu Peizhen. Wu Peizhen said she was like Chang'e descending to earth, to which she replied that Chang'e was also the嫦娥 on the mooncake box, and both of them laughed.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 走上公路后，父亲顿时感到身体灵巧轻便，脚步利索有劲，他松开了抓住余司令衣角的手。\n", "--------------------------------------------------\n", "english: Once he stepped onto the highway, Father felt suddenly light and nimble; with extra spring in his step, he let go of Commander Yu's coat.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: After stepping onto the highway, Father immediately felt his body agile and light, his steps swift and有力. He released the corner of Commander Yu's coat that he had been holding.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 知青们说放狗屁，谁偷东西，你们当场拿住了吗？\n", "--------------------------------------------------\n", "english: The city students said, That's bullshit! Who stole your chickens and dogs? Did you catch us in the act?\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: The知青s said it was nonsense, who among you caught the thief on the spot?\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 再有那山墙上的爬墙虎，隔壁洋房里的钢琴声，都是怀旧的养料。\n", "--------------------------------------------------\n", "english: Besides these, the ivy crawling up the sides of the walls and the sounds of someone playing the piano in the Western-style house next door also came to feed their nostalgia.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: And the ivy on the gable wall, the sound of the piano from the隔壁 mansion, all provided material for nostalgia.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 这阴沉气有时是东西厢房的薰衣草气味，有时是樟脑丸气味，还有时是肉砧板上的气味。\n", "--------------------------------------------------\n", "english: This murky air sometimes smells like lavender in a bedroom, sometimes like mothballs, and at other times like a kitchen chopping block.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: This gloomy scent could sometimes be the lavender smell from the east and west rooms, sometimes the樟脑丸 smell, and sometimes the smell from the meat cutting board.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 宝玉在窗外笑道：“为什么‘每日家情思睡昏昏’的？” 一面说，一面掀帘子进来了。\n", "--------------------------------------------------\n", "english: He laughed: 'Why 'each day in a drowsy waking dream of love'?' he asked through the window (the words were from his beloved Western Chamber); then going to the doorway he lifted up the door-blind and walked into the room.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: 宝玉 chuckled from the window and asked, \"Why 'every day your thoughts and feelings make you drowsy?'\" As he spoke, he pushed the curtain aside and came in.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 黛玉坐在床上，一面抬手整理鬓发，一面笑向宝玉道：“人家睡觉，你进来做什么？”\n", "--------------------------------------------------\n", "english: 'What do you mean by coming into people's rooms when they're asleep?' said Dai-yu, smiling up at Bao-yu as she sat on the bed's edge patting her hair into shape.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: Daiyu sat on the bed, one hand raised to smooth her hair as she smiled at宝玉 and asked, \"Why are you coming in when everyone is sleeping?\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 夜色灰葡萄，金风串河道，宝蓝色的天空深邃无边，绿色的星辰格外明亮。 北斗勺子星——北斗主死，南斗簸箕星——南斗司生、八角玻璃井——缺了一块砖，焦灼的牛郎要上吊，忧愁的织女要跳河…… 都在头上悬着。\n", "--------------------------------------------------\n", "english: On that grey-purple night a golden breeze followed the course of the river. The sapphire-blue sky was deep and boundless, green-tinted stars shone brightly in the sky: the ladle of Ursa Major (signifying death), the basket of Sagittarius (representing life); Octans, the glass well, missing one of its tiles; the anxious Herd Boy (Altair), about to hang himself; the mournful Weaving Girl (Vega), about to drown herself in the river. . . .\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: The night sky was a gray grape, golden winds flowed through the river, the sapphire sky was deep and boundless, and the green stars were particularly bright. The spoon star of the Big Dipper - the Big Dipper presides over death, the箕 star of the Little Dipper - the Little Dipper oversees life, the eight-sided glass well - missing a brick, the anxious Niu Lang wanted to hang himself, the sorrowful Zhi Nu wanted to jump into the river... All of these were hanging above their heads.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 在一线一线阳光射进昏暗的轿内时，奶奶心中丈夫的形象也渐渐清晰起来。\n", "--------------------------------------------------\n", "english: A picture of what she imagined to be the bridegroom slowly took shape from the threads of sunlight filtering into the darkness of the sedan chair.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: As rays of light filtered into the dim轿, grandmother's image of her husband became clearer in her heart.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 轿里牺牲的哽咽和轿后唢呐的伴奏，使他们心中萍翻桨乱，雨打魂幡。\n", "--------------------------------------------------\n", "english: The sacrificial choking sounds from inside the chair and the woodwind accompaniment had made them restless and uneasy, had set their souls adrift.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: The sobs of the sacrifices in the sedan chair and the accompanying唢呐 music made their hearts tumultuous, as if their souls were being battered by rain.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 在我看来，义气就是江湖好汉中那种伟大友谊。\n", "--------------------------------------------------\n", "english: In my opinion, brotherhood was the kind of great friendship that only existed among the outlaws of the forest.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: To me, loyalty is that great friendship among the heroic figures of the江湖.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 只可怜甄家在隔壁，早成了一堆瓦砾场了，只有他夫妇并几个家人的性命不曾伤了，急的士隐惟跌足长叹而已。\n", "--------------------------------------------------\n", "english: Poor Zhens! Though they and their handful of domestics escaped unhurt, their house, which was only next door to the temple, was soon reduced to a heap of rubble, while Shi-yin stood by helpless, groaning and stamping in despair.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: Only poor甄's family, who lived next door, was reduced to a pile of ruins, while only his couple and several family members survived. All he could do was to pace and sigh in despair.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 他母亲曾有一度，热衷于收集电影说明书，“文化大革命”时自觉烧掉了她的收藏，后来的电影院也再不出售说明书了。\n", "--------------------------------------------------\n", "english: There was a period when his mother became obsessed with collecting movie pamphlets, but during the Cultural Revolution she took it upon herself to burn her entire collection; later the movie theaters stopped putting them out.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: His mother had, at one point, been enthusiastic about collecting movie programs, but had自觉burned her collection during the Cultural Revolution, and later movie theaters no longer sold programs.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 真了解老克腊的是上海西区的马路。 他在那儿常来常往，有树阴罩着他。\n", "--------------------------------------------------\n", "english: Old Colour finds true understanding in the neighborhoods on the west side of Shanghai, and he likes to wander there along the tree-lined streets.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: Only the streets in the West区 of Shanghai truly understand Old Klauser. He frequently visited those places, with trees providing shade for him.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 凤姐笑道：“你哄我呢!\n", "--------------------------------------------------\n", "english: 'You must be joking!' said Xi-feng.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: \"Feng姐 laughed and said, \"You're fooling me!\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 沐王府的高手再多，总敌不过大内侍卫。\n", "--------------------------------------------------\n", "english: However many of their ace fighters the Mu Family may have got in the city, they're not going to take on the Palace Guard.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: No matter how many skilled fighters the沐王府 has, they are still no match for the imperial guards.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 只见她微笑着招手，韦小宝大喜，轻轻闪身过门。 蕊初又将门掩上了，在他耳畔低声道：“我怕你进不来，已在这里等了许久。”\n", "--------------------------------------------------\n", "english: She smiled at him and beckoned to him to come in. He complied happily, and when he had slipped inside, she fastened the gate after him. 'I thought I'd better wait here in case you had trouble getting in,' she said softly in his ear. 'I've been waiting ever such a long time.'\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: I saw her smiling and waving, Wei Xiaobao was overjoyed, and he lightly moved aside to enter the room.蕊初 then closed the door, whispering close to his ear, \"I was afraid you couldn't get in, so I've been waiting here for a long time.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 太太听见气死过去了，这会子叫我来拿你。\n", "--------------------------------------------------\n", "english: When Lady Wang first heard, she was so angry that she fainted, but now she's come round again and is asking for you to be brought to her.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: The太太 passed out from anger when she heard this, and now she's calling me to fetch you.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 奶奶嫁到单家，其实也是天意。 那天，我奶奶在秋千架旁与一些尖足长辫的大闺女耍笑游戏，那天是清明节，桃红柳绿，细雨霏霏，人面桃花，女儿解放。\n", "--------------------------------------------------\n", "english: Grandma's marriage into the Shan family was the will of heaven, implemented on a day when she and some of her playmates, with their tiny bound feet and long pigtails, were playing beside a set of swings. It was Qingming, the day set aside to attend ancestral graves; peach trees were in full red bloom, willows were green, a fine rain was falling, and the girls' faces looked like peach blossoms. It was a day of freedom for them.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: Grandma's marriage to the Shan family was indeed destined. On that day, my grandma was playing and joking with some girls with high heels and long braids at the swing frame. That day was清明节, with cherry blossoms and willow leaves in full bloom, fine drizzle falling, and faces of girls matching the peach blossoms. The girls were liberated.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 俗语说的：‘千里搭长棚——没有个不散的筵席。’\n", "--------------------------------------------------\n", "english: 'You know what they said about the mile-wide marquee: 'Even the longest party must have an end'?\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: As the saying goes: 'Even a long tent搭 up over a thousand miles will not last forever, for there is no gathering that does not eventually come to an end.'\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 程先生倒反有些窘，说：随便问问的。\n", "--------------------------------------------------\n", "english: Mr. Cheng grew a bit self-conscious. 'I was only asking.'\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: Mr. Cheng was actually a bit embarrassed, saying, \"Just asking随便.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 轿夫抬轿从街上走，迈的都是八字步，号称“踩街”，这一方面是为讨主家欢喜，多得些赏钱； 另一方面，是为了显示一种优雅的职业风度。\n", "--------------------------------------------------\n", "english: As the bearers carried their load down the path, their feet left a series of V imprints known as 'tramples' in the dirt, for which satisfied clients usually rewarded them, and which fortified the bearers' pride of profession.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: Porters carrying the sedan chair walked down the street, taking八字 steps, known as \"walking the street\". This was done on one hand to please the host family and earn more money as a reward; on the other hand, it was to demonstrate a graceful professional demeanor.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 周瑞家的认了半日，方笑道：“刘姥姥，你好?\n", "--------------------------------------------------\n", "english: Zhou Rui's wife scrutinized her questioningly for some moments before finally recognizing her. 'Why, it's Grannie Liu! How are you?\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: Zhou Rui's lady recognized her for a while before laughing and saying, \"Rao姥姥, how are you?\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 我抬举起你来，这会子我来了，你大模厮样儿的躺在炕上，见了我也不理一理儿。\n", "--------------------------------------------------\n", "english: After all I've done for you – and now when I come to call on you, you lie back there on the kang like a young madam and haven't even the grace to look up and take notice of me! You and your airs and graces!\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: I lifted you up, and now that I'm here, you're lying on the炕 in a grand manner, not even acknowledging me.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 大江南北，见闻所及，不但读书人反对鞑子，而贩夫走卒、屠沽市井之中，也到处有热血满腔的豪杰。\n", "--------------------------------------------------\n", "english: And wherever I've been, north or south of the River, I've discovered that it isn't only among educated people like ourselves that resistance to the Tartars is to be found. Many of our most ardent patriots are small tradesmen, Yamen runners, or market folk—people belonging to the very lowest ranks of society.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: From the Yangtze River to the south and the Yellow River to the north, wherever I've seen and heard, not only scholars are against the Mongols, but also among the common people, such as vendors, butchers, and shopkeepers, there are heroes with full hearts of热血.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 我所能交待的事就是在地头休息时摸她的乳房。\n", "--------------------------------------------------\n", "english: What I could confess was that I fondled her breasts when we rested at the edge of the field.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: The only thing I can交代 is to touch her breasts when we stop at a crossroads.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 漫山冷雾时，腰上别着刀子，足蹬高统雨靴，走到雨丝里去。\n", "--------------------------------------------------\n", "english: When cold mist drifted over the mountain, she would tuck a knife into her belt, put on a pair of rain boots, and enter the drizzle.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: When the mountains were shrouded in cold fog, with a knife tucked in my waist and high统 rain boots on my feet, I walked into the raindrops.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 为此她没少发牢骚，严先生枕头上也立下千般愿，万般誓，不料公私合营，产业都归了国家，能保住一处私房就是天恩地恩，花园洋房终成泡影。\n", "--------------------------------------------------\n", "english: In response to her complaints, he had, in bed, promised many times to move them to a house with a garden. Now that their assets were controlled by the government, they felt lucky simply to be allowed to keep their house.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: For this, she had complained endlessly. Mr. Yan had made countless vows and oaths under his pillow, hoping that their properties would remain private. However, when the cooperative operation took place, all their assets were nationalized. Keeping even a single private house was considered a divine blessing. The dream of a garden villa turned out to be just a泡影, a fleeting illusion.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 高粱深处，蛤蟆的叫声忧伤，蝈蝈的唧唧凄凉，狐狸的哀鸣悠怅。\n", "--------------------------------------------------\n", "english: From deep in the sorghum came the melancholy croaks of toads, the dreary chirps of grasshoppers, and the plaintive howls of foxes.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-01: In the depths of the millet stalks, the croak of the toads was mournful, the crickets' chirping was凄凉, and the foxes' wails were melancholic.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-01: 1\n", "### Analyzing: Qwen/Qwen2-7B-Instruct/shots-03\n", "*** Found 0 rows with total_repetitions > 50 for Qwen/Qwen2-7B-Instruct/shots-03\n", "\n", "*** Found 0 rows with output_tokens >= 300 for Qwen/Qwen2-7B-Instruct/shots-03\n", "\n", "*** Found 40 rows with incomplete translations for Qwen/Qwen2-7B-Instruct/shots-03\n", "--------------------------------------------------\n", "chinese: 次日天未明时，刘姥姥便起来梳洗了， 又将板儿教了几句话； 五六岁的孩子，听见带了他进城逛去，喜欢的无不应承。\n", "--------------------------------------------------\n", "english: Next day Grannie Liu was up before dawn. As soon as she had washed and done her hair, she set about teaching Ban-er a few words to say to the ladies at the great house – an exercise to which he submitted cheerfully enough, as would any little boy of four or five who had been promised an outing to the great city.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-03: The next morning, before the sun had risen, Ruan姥姥 got up to wash and dress, and taught Bander a few words. The five- or six-year-old boy was delighted at the prospect of going into the city with her and readily agreed.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 钱老板道：“是，是，多谢香主。” 在一张椅上坐了，续道：“属下将小郡主藏在猪肚里带进宫来，一来是为瞒过宫门侍卫的重重搜检，二来是要瞒过沐王府众人的耳目。\n", "--------------------------------------------------\n", "english: 'Thank you, Master,' said Butcher Qian, seating himself in one of the chairs and continuing. 'There were really two reasons why I hid the Little Countessinside this pig's carcass. One was to get her past the Palace Guard: they always search everyone at the gate. But it was also to get her past any of the Mu Family spies who might be out watching for us.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-03: Money Boss said, \"Yes, yes, thank you, Captain.\" He sat down on a chair and continued, \"I hid the princess in the pig's stomach and brought her into the palace. I did this for two reasons: first, to avoid the thorough search by the palace guards at the gate, and second, to keep the people at the Mu王府 from knowing.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 宝玉笑道：“只从那个月见了你，我叫你往书房里来，谁知接接连连许多事情，就把你忘了。”\n", "--------------------------------------------------\n", "english: 'After I invited you round to my study that day,' said Bao-yu, 'a whole lot of things seemed to happen one after the other, and I'm afraid I quite forgot about your visit.'\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-03: 宝玉 laughed and said, \"Ever since that month when I asked you to come to the study, I've been so busy with various things that I forgot all about you.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 两人正打趣，客人来了，严师母表姐弟俩一同进了门，都带着礼物。\n", "--------------------------------------------------\n", "english: Their jovial banter was interrupted by the guests, who had come bearing gifts.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-03: As the two were joking around, the guests arrived. The cousins,严师母's表姐弟, entered the door together, each bringing a gift.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 一是我在慰问团面前说出了曾经被打晕的事，叫军代表很没面子；二是争风吃醋，所以他一直修理我。\n", "--------------------------------------------------\n", "english: Firstly, I told the relief delegation that I had been beaten unconscious, which made the military deputy lose face; secondly, he and I fought over a woman, which was why he was always trying to screw me.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-03: The first reason was that I had revealed the incident of being knocked out in front of the慰问团, which made the military representative lose face; the second was jealousy, so he had always been trying to bully me.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 钱老板道：“正是。 沐王府小公爷的嫡亲妹子。\n", "--------------------------------------------------\n", "english: 'Young Lord Mu's little sister,' said Butcher Qian.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-03: Money Boss said, \"That's right. She's the legitimate younger sister of the Young Prince of the沐王府.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 钱老板道：“这是沐王府的郡主。”\n", "--------------------------------------------------\n", "english: 'She's the Little Countess,' said Butcher Qian. The Mu Family's Little Countess.'\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-03: Money Boss said, \"This is the princess of the Mu王府.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 一面说，一面坐下吃茶。 那宝玉便和他说些没要紧的散话：\n", "--------------------------------------------------\n", "english: He sat down, nevertheless, and sipped his tea while Bao-yu made conversation on a number of unimportant topics.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-03: As they spoke, they both sat down to drink tea. The宝玉 then began chatting with him about trivial, unrelated topics.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-03: 1\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", "Qwen/Qwen2-7B-Instruct/shots-03: 宝玉 understood, and suddenly heard the curtain rustle as Qiongwen ran in and asked, \"Why am I grinding my teeth?\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝想问他什么叫神堂穴、环跳穴，如何点穴、解穴，但转念一想，自己是青木堂香主，又是总舵主的弟子，连点穴、解穴也不会，岂不是让下属们太也瞧不起？ 反正对付一个小姑娘总不是什么难事，点头道：“知道了。”\n", "--------------------------------------------------\n", "english: Trinket wanted to ask him where the Holy Hall and Ring Jump vital points were and how you closed and opened them; but then he remembered that, as Master of the Green Wood Lodge and a disciple of the great Helmsman, he was probably expected to know about these things and felt sure his subordinates would despise him if they found out that he was totally ignorant of these matters; so he just nodded and said that he would. 'Anyway, ' he thought, 'I shouldn't have any difficulty in handling her. She's only a girl.'\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-03: Wu Xiaobao was about to ask him what the Heavenly Temple穴 was, and how to locate and unblock it, but then he thought, \"I'm the head of the Green Wood Hall, and I'm also a disciple of the head of the main hall. If I don't even know how to locate and unblock a穴, how will my subordinates look at me?\" Anyway, it wasn't hard to deal with a little girl, so he nodded and said, \"I understand.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 刘姥姥一面走，一面笑说道：“你老是‘贵人多忘事’了，那里还记得我们？”\n", "--------------------------------------------------\n", "english: Grannie Liu followed her cackling. 'You know what they say: 'Important people have short memories.' I wouldn't expect you to remember the likes of us!'\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-03: As Liu姥姥walked, she laughed and said, \"You're forgetful, sir. How could you have forgotten us?\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 侧过了头倾听。\n", "--------------------------------------------------\n", "english: He cocked his head to listen.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-03: 侧过了头倾听。\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 对于领导来说，我不存在有很大的便利，可以说明此地没有一个知青被打晕。\n", "--------------------------------------------------\n", "english: For our team leader, my nonexistence was very convenient, because then no one could prove any of the city students had been beaten senseless.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-03: For the leader, there is no great convenience in my existence, which can explain that there is no知青 knocked out in this place.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-03: 1\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", "Qwen/Qwen2-7B-Instruct/shots-03: Zhou Rui's wife, having heard this, guessed at the purpose of the visit. It was because her husband had received considerable assistance from Goerg's father in the past when they were competing to buy land, and now, seeing how Ruan姥姥 was behaving, she found it hard to refuse her request. Moreover, she also wanted to show off her own status. She laughed and said, \"Don't worry, dear, everything will be fine.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 后因曹雪芹于悼红轩中，披阅十载，增删五次，纂成目录，分出章回，又题曰《金陵十二钗》，并题一绝。\n", "--------------------------------------------------\n", "english: Cao Xueqin in his Nostalgia Studio worked on it for ten years, in the course of which he rewrote it no less than five times, dividing it into chapters, composing chapter headings, renaming it The Twelve Beauties of Jinling, and adding an introductory quatrain.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-03: Later, Cao Xueqin, after ten years of work in the Pavilion of Mourning Red, added and revised the text five times, compiled the outline, and divided it into chapters and sections. He then titled it The Twelve Golden钗and wrote a poem.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-03: 1\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", "Qwen/Qwen2-7B-Instruct/shots-03: 宝玉 laughed and said, \"I'll give you a chestnut to eat!\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 如今王府虽升了官儿，只怕二姑太太还认的咱们，你为什么不走动走动?\n", "--------------------------------------------------\n", "english: Her brother has been promoted; but I shouldn't be surprised if she at least didn't still remember us. Why don't you try your luck with her?\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-03: Now that the王府 has been promoted, perhaps the Second Auntie will still recognize us. Why don't you go and visit?\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 这件事离了题，所以就没写。\n", "--------------------------------------------------\n", "english: So the incident seemed beside the point and I didn't write about it.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-03: This sentence is incomplete and the meaning is unclear, so I will copy the input text as the output.\n", "\n", "Chinese: 这件事离了题，所以就没写。\n", "English: This sentence\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 说道：“有一点点痛，也没什么有趣。”\n", "--------------------------------------------------\n", "english: But all he said was: 'It hurts a bit. I wouldn't have said it was interesting exactly.'\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-03: \"有一点点痛，也没什么有趣。\" translates to \"There's a little bit of pain, and nothing particularly interesting.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 斯坦顿上校已经离开了，汪淼拿起了他放在草帽上的望远镜，克服着双手的颤抖观察被“飞刃”切割成四十多片的“审判日”号。\n", "--------------------------------------------------\n", "english: Colonel Stanton had already left. Wang picked up the binoculars he'd left on top of his hat. Overcoming his trembling hands, he observed Judgment Day.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-03: Colonel Stetson was gone, and Wang Miao picked up the telescope that the man had left on his straw hat, and, shaking, he observed the forty-odd pieces of the审判日 that had been sliced by the flying knives.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 于是，红静就和另外三个知青跳下河去捞羊，那时还是凌汛，水面上还浮着一层冰呢！\n", "--------------------------------------------------\n", "english: And so, Hongjing and three other students jumped into the river to save the sheep. It was early spring, and the surface of the river was still covered by a thin layer of ice.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-03: So, Hongjing and the other three former知青divers jumped into the river to retrieve the sheep. It was still the time of凌汛, with ice still floating on the surface of the water!\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 他从来没这样狼狈过，高密东北乡吹唢吶的好手从来没这样狼狈过。\n", "--------------------------------------------------\n", "english: The great woodwind player of Northeast Gaomi Township had never been in such a mess.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-03: He had never been so embarrassed before, nor had the best players of the唢吶 in Gaomi's Northeast Township.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 宝玉笑道：“你学惯了，明儿连你还咬起来呢。”\n", "--------------------------------------------------\n", "english: 'You'd better not imitate her,' said Bao-yu. 'It'll get to be a habit. You'll be lisping yourself before you know where you are.'\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-03: 宝玉 laughed and said, \"You've gotten used to it. You'll even start biting me tomorrow.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 只觉天涯茫茫，到处是鞑子的天下，真无一片干净土地，沉吟道：“桃源何处，可避暴秦？\n", "--------------------------------------------------\n", "english: The whole world belonged to the Tartars now, it seemed. Not a single patch of land was free of their hated presence. He thought of the poet Tao Yuanming's story about the fisherman who, by following a stream that flowed between flowering peach trees, had stumbled on an earthly paradise—a place where refugees from ancient tyranny had found a haven.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-03: Feeling the vastness of the world, he realized that everywhere was under the rule of the barbarians, and there was no clean land. He pondered, \"Where is the桃源, a place to escape the tyrannical Qin?\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 宝玉在窗外笑道：“为什么‘每日家情思睡昏昏’的？” 一面说，一面掀帘子进来了。\n", "--------------------------------------------------\n", "english: He laughed: 'Why 'each day in a drowsy waking dream of love'?' he asked through the window (the words were from his beloved Western Chamber); then going to the doorway he lifted up the door-blind and walked into the room.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-03: 宝玉 laughed from outside the window and asked, \"Why is it that 'every day I feel so sleepy and listless'?\" As he spoke, he pushed the curtain aside and came in.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 夜色灰葡萄，金风串河道，宝蓝色的天空深邃无边，绿色的星辰格外明亮。 北斗勺子星——北斗主死，南斗簸箕星——南斗司生、八角玻璃井——缺了一块砖，焦灼的牛郎要上吊，忧愁的织女要跳河…… 都在头上悬着。\n", "--------------------------------------------------\n", "english: On that grey-purple night a golden breeze followed the course of the river. The sapphire-blue sky was deep and boundless, green-tinted stars shone brightly in the sky: the ladle of Ursa Major (signifying death), the basket of Sagittarius (representing life); Octans, the glass well, missing one of its tiles; the anxious Herd Boy (Altair), about to hang himself; the mournful Weaving Girl (Vega), about to drown herself in the river. . . .\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-03: The night sky was a gray purple, the golden wind swirled through the river, the sapphire sky was deep and boundless, and the green stars were especially bright. The spoon star of the Big Dipper - the Big Dipper presides over death, the箕 star of the Little Dipper - the Little Dipper oversees life, the eight-sided glass well - missing a brick, the anxious Niu Lang was about to hang himself, the sorrowful Zhi Nu was about to jump into the river... all hanging above their heads.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 在一线一线阳光射进昏暗的轿内时，奶奶心中丈夫的形象也渐渐清晰起来。\n", "--------------------------------------------------\n", "english: A picture of what she imagined to be the bridegroom slowly took shape from the threads of sunlight filtering into the darkness of the sedan chair.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-03: As the dim轿 interior was illuminated by a beam of sunlight, the image of her husband in her grandmother's mind became clearer.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 轿里牺牲的哽咽和轿后唢呐的伴奏，使他们心中萍翻桨乱，雨打魂幡。\n", "--------------------------------------------------\n", "english: The sacrificial choking sounds from inside the chair and the woodwind accompaniment had made them restless and uneasy, had set their souls adrift.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-03: The sobs of the sacrifices in the sedan chair and the accompanying sound of the唢呐 in the rear stirred their hearts, causing them to feel as if their oars were being tossed about and their spirits battered by rain.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 在我看来，义气就是江湖好汉中那种伟大友谊。\n", "--------------------------------------------------\n", "english: In my opinion, brotherhood was the kind of great friendship that only existed among the outlaws of the forest.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-03: To me, loyalty is that great friendship found among the brave men of the江湖.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 只可怜甄家在隔壁，早成了一堆瓦砾场了，只有他夫妇并几个家人的性命不曾伤了，急的士隐惟跌足长叹而已。\n", "--------------------------------------------------\n", "english: Poor Zhens! Though they and their handful of domestics escaped unhurt, their house, which was only next door to the temple, was soon reduced to a heap of rubble, while Shi-yin stood by helpless, groaning and stamping in despair.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-03: Poor甄's family, living next door, had already been reduced to a pile of ruins, while only his wife and a few servants had escaped injury. All he could do was pace and sigh in despair.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 它是理不直气不壮，只能背地里窃窃喳喳的那种。\n", "--------------------------------------------------\n", "english: There is nothing aboveboard about it, nothing straight and narrow; it can only whisper secrets behind people's backs.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-03: It is the kind of thing that is not right but not strong enough to stand up for itself,只能 exist in secret whispers.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 沐王府的高手再多，总敌不过大内侍卫。\n", "--------------------------------------------------\n", "english: However many of their ace fighters the Mu Family may have got in the city, they're not going to take on the Palace Guard.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-03: No matter how many experts the沐王府 had, they could not match the imperial guards.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 只见她微笑着招手，韦小宝大喜，轻轻闪身过门。 蕊初又将门掩上了，在他耳畔低声道：“我怕你进不来，已在这里等了许久。”\n", "--------------------------------------------------\n", "english: She smiled at him and beckoned to him to come in. He complied happily, and when he had slipped inside, she fastened the gate after him. 'I thought I'd better wait here in case you had trouble getting in,' she said softly in his ear. 'I've been waiting ever such a long time.'\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-03: She smiled and beckoned to him, and Wei Xiaobao was overjoyed as he slipped through the door.蕊初 then closed the door again, whispering close to his ear, \"I was afraid you wouldn't be able to get in, so I've been waiting here for a long time.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 俗语说的：‘千里搭长棚——没有个不散的筵席。’\n", "--------------------------------------------------\n", "english: 'You know what they said about the mile-wide marquee: 'Even the longest party must have an end'?\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-03: As the saying goes: 'Even a long tent搭 put up for a thousand miles cannot last forever, no gathering of guests can go on without coming to an end.'\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 轿夫抬轿从街上走，迈的都是八字步，号称“踩街”，这一方面是为讨主家欢喜，多得些赏钱； 另一方面，是为了显示一种优雅的职业风度。\n", "--------------------------------------------------\n", "english: As the bearers carried their load down the path, their feet left a series of V imprints known as 'tramples' in the dirt, for which satisfied clients usually rewarded them, and which fortified the bearers' pride of profession.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-03: The bearers carried the sedan chair through the street, taking the八字 step, known as \"walking the street\". This was done on the one hand to please the host family and earn more money in tips; on the other hand, it was to display a certain elegance and professionalism in their work.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 周瑞家的认了半日，方笑道：“刘姥姥，你好?\n", "--------------------------------------------------\n", "english: Zhou Rui's wife scrutinized her questioningly for some moments before finally recognizing her. 'Why, it's Grannie Liu! How are you?\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-03: Mrs. Zhou recognized her for a while before laughing and asking, \"Rao姥姥, how are you?\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 大江南北，见闻所及，不但读书人反对鞑子，而贩夫走卒、屠沽市井之中，也到处有热血满腔的豪杰。\n", "--------------------------------------------------\n", "english: And wherever I've been, north or south of the River, I've discovered that it isn't only among educated people like ourselves that resistance to the Tartars is to be found. Many of our most ardent patriots are small tradesmen, Yamen runners, or market folk—people belonging to the very lowest ranks of society.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-03: From the Yangtze River to the south and the Yellow River to the north, wherever I've heard of or seen, not only scholars are against the Mongols, but also among the common people, street vendors, butchers, and market folk, there are heroes with full hearts of热血.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 我所能交待的事就是在地头休息时摸她的乳房。\n", "--------------------------------------------------\n", "english: What I could confess was that I fondled her breasts when we rested at the edge of the field.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-03: The only thing I can交代 is to feel her breasts when we stop for a rest in the field.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 漫山冷雾时，腰上别着刀子，足蹬高统雨靴，走到雨丝里去。\n", "--------------------------------------------------\n", "english: When cold mist drifted over the mountain, she would tuck a knife into her belt, put on a pair of rain boots, and enter the drizzle.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-03: When the mountains were shrouded in cold mist, with a knife tucked into his belt and high统 rain boots on his feet, he walked into the raindrops.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 鳖便是甲鱼，捉你这只小甲鱼。”\n", "--------------------------------------------------\n", "english: 'Little turtle!'\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-03: Turtle is another name for甲鱼, you got this little 甲鱼.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-03: 1\n", "### Analyzing: Qwen/Qwen2-7B-Instruct/shots-05\n", "*** Found 0 rows with total_repetitions > 50 for Qwen/Qwen2-7B-Instruct/shots-05\n", "\n", "*** Found 0 rows with output_tokens >= 300 for Qwen/Qwen2-7B-Instruct/shots-05\n", "\n", "*** Found 41 rows with incomplete translations for Qwen/Qwen2-7B-Instruct/shots-05\n", "--------------------------------------------------\n", "chinese: 次日天未明时，刘姥姥便起来梳洗了， 又将板儿教了几句话； 五六岁的孩子，听见带了他进城逛去，喜欢的无不应承。\n", "--------------------------------------------------\n", "english: Next day Grannie Liu was up before dawn. As soon as she had washed and done her hair, she set about teaching Ban-er a few words to say to the ladies at the great house – an exercise to which he submitted cheerfully enough, as would any little boy of four or five who had been promised an outing to the great city.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-05: The next morning, before the sun had risen, Ruan姥姥 got up to wash and dress, and taught Bander a few words. The five- or six-year-old boy was delighted at the prospect of being taken into the city to have a look around, and readily agreed.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 钱老板道：“是，是，多谢香主。” 在一张椅上坐了，续道：“属下将小郡主藏在猪肚里带进宫来，一来是为瞒过宫门侍卫的重重搜检，二来是要瞒过沐王府众人的耳目。\n", "--------------------------------------------------\n", "english: 'Thank you, Master,' said Butcher Qian, seating himself in one of the chairs and continuing. 'There were really two reasons why I hid the Little Countessinside this pig's carcass. One was to get her past the Palace Guard: they always search everyone at the gate. But it was also to get her past any of the Mu Family spies who might be out watching for us.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-05: Mr. Qian said, \"Yes, yes, thank you for your hospitality.\" He sat down on a chair and continued, \"I concealed the young princess in the stomach of a pig to enter the palace, first to avoid the thorough inspections by the guards at the palace gates, and secondly to keep the people at the Mu王府 from noticing.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 一面说，一面就站起来了。 刘姥姥只是千恩万谢的，拿了银钱，跟着周瑞家的走到外边。\n", "--------------------------------------------------\n", "english: She rose to her feet, and Grannie Liu, with heartfelt expressions of gratitude, picked up the money and followed Zhou Rui's wife out of the room.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-05: As she spoke, she got up. Liu姥姥 thanked and praised Zhou innumerable times, took the silver, and followed Zhou's attendant out.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 宝玉笑道：“只从那个月见了你，我叫你往书房里来，谁知接接连连许多事情，就把你忘了。”\n", "--------------------------------------------------\n", "english: 'After I invited you round to my study that day,' said Bao-yu, 'a whole lot of things seemed to happen one after the other, and I'm afraid I quite forgot about your visit.'\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-05: 宝玉 laughed and said, \"It was just after that month when I asked you to come to the study, and then, with all the things that happened, I forgot about you.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 宝玉便说：“打宝姐姐那里来。”\n", "--------------------------------------------------\n", "english: 'Bao-chai's.'\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-05: 宝玉 said, \"I came from Bao's place.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 两人正打趣，客人来了，严师母表姐弟俩一同进了门，都带着礼物。\n", "--------------------------------------------------\n", "english: Their jovial banter was interrupted by the guests, who had come bearing gifts.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-05: As the two were joking, the guests arrived. The cousins,严师母's表姐弟, entered the door together, each bringing a gift.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 一是我在慰问团面前说出了曾经被打晕的事，叫军代表很没面子；二是争风吃醋，所以他一直修理我。\n", "--------------------------------------------------\n", "english: Firstly, I told the relief delegation that I had been beaten unconscious, which made the military deputy lose face; secondly, he and I fought over a woman, which was why he was always trying to screw me.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-05: The first reason was that I had revealed the incident of being knocked out in front of the慰问团, which made the military representative lose face; the second was that I was jealous and vied for his affection, so he had always been trying to put me in my place.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 可巧凤姐正在上房算了输赢帐，听见后面一片声嚷，便知是李嬷嬷老病发了，又值他今儿输了钱，迁怒于人，排揎宝玉的丫头。\n", "--------------------------------------------------\n", "english: Xi-feng happened to be in Grandmother Jia's room totting up the day's scores for the final settlement when she heard this hubbub in the rear apartment. She identified it immediately as Nannie Li on the rampage once more, taking out on Bao-yu's unfortunate maids some of the spleen occasioned by her recent gambling losses.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-05: Fortunately, Xi-feng was in the main room calculating her losses, and when she heard the commotion behind her, she knew that it was due to Old Nurse Li's illness flaring up. Given that she had lost money today, she was taking it out on someone, and her anger was directed at the servants who had been berating宝玉.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 刘姥姥心中想着：“这是什么东西? 有煞用处呢？”\n", "--------------------------------------------------\n", "english: 'I wonder what that can be,' she thought to herself, 'and what it can be used for?'\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-05: In her heart, Liu姥姥 wondered, \"What is this? What use does it have?\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 钱老板道：“正是。 沐王府小公爷的嫡亲妹子。\n", "--------------------------------------------------\n", "english: 'Young Lord Mu's little sister,' said Butcher Qian.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-05: Mr. Qian said, \"That's right. She's the legitimate younger sister of the Young Prince of the沐王府.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 钱老板道：“这是沐王府的郡主。”\n", "--------------------------------------------------\n", "english: 'She's the Little Countess,' said Butcher Qian. The Mu Family's Little Countess.'\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-05: Money Boss said, \"This is the Princess of the沐王府.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-05: 1\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", "Qwen/Qwen2-7B-Instruct/shots-05: 宝玉 understood, and suddenly heard the curtain rustle as Qiwen ran in and asked, \"Why am I grinding my teeth?\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 侧过了头倾听。\n", "--------------------------------------------------\n", "english: He cocked his head to listen.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-05: 侧过了头倾听。\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 对于领导来说，我不存在有很大的便利，可以说明此地没有一个知青被打晕。\n", "--------------------------------------------------\n", "english: For our team leader, my nonexistence was very convenient, because then no one could prove any of the city students had been beaten senseless.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-05: For the leaders, there's no great convenience in saying that no知青has been knocked out here.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-05: 1\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", "Qwen/Qwen2-7B-Instruct/shots-05: Mrs. Zhou, who had heard this, already guessed the purpose of the visit. It was because her husband had received much help from Mr. Liu's father in the past when he was trying to buy some land. Seeing how R姥姥 was acting, she found it hard to refuse her request. Secondly, she also wanted to show off her own status. She laughed and said, \"Don't worry, dear, everything will be fine.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 后因曹雪芹于悼红轩中，披阅十载，增删五次，纂成目录，分出章回，又题曰《金陵十二钗》，并题一绝。\n", "--------------------------------------------------\n", "english: Cao Xueqin in his Nostalgia Studio worked on it for ten years, in the course of which he rewrote it no less than five times, dividing it into chapters, composing chapter headings, renaming it The Twelve Beauties of Jinling, and adding an introductory quatrain.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-05: Later, Cao Xueqin, after ten years of reading and revising the manuscript in the Memorial Red Chamber, compiled an outline and divided it into chapters and sections. He then titled it The Twelve Golden钗of Jinling and wrote a quatrain to mark the occasion.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-05: 1\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", "Qwen/Qwen2-7B-Instruct/shots-05: 宝玉 laughed and said, \"I'll give you a chestnut to eat!\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 如今王府虽升了官儿，只怕二姑太太还认的咱们，你为什么不走动走动?\n", "--------------------------------------------------\n", "english: Her brother has been promoted; but I shouldn't be surprised if she at least didn't still remember us. Why don't you try your luck with her?\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-05: Now that the王府 has risen in rank, perhaps the Second Auntie will still recognize us. Why don't you go and visit?\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 平安里的一日生计，是在喧嚣之中拉开帷幕；粪车的轱辘声，涮马桶声，几十个煤球炉子在弄堂里升烟，隔夜洗的衣衫也晾出来了，竹竿交错，好像在烟幕中升旗。\n", "--------------------------------------------------\n", "english: Mornings, however, begin with night-soil carts, clattering in to collect waste for fertilizer, and the raspy noises of brushes scrubbing out commodes. Amid the smoke of coal burners, laundry soaked overnight is taken out to be hung, banner-like, on bamboo poles.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-05: The daily routine of平安里 unfolded amidst the din; the sound of the dung cart's wheels, the flush of the toilet, the smoke from dozens of coal stoves in the alley, and the clothes from the night before being hung out to dry, with bamboo poles crossing each other, as if raising a flag in the smoke.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 众人打量了一会，便问：“是那里来的？”\n", "--------------------------------------------------\n", "english: After looking her up and down for a moment or two, they asked her her business.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-05: 众人 looked them over for a while and asked, \"Where did you come from?\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 斯坦顿上校已经离开了，汪淼拿起了他放在草帽上的望远镜，克服着双手的颤抖观察被“飞刃”切割成四十多片的“审判日”号。\n", "--------------------------------------------------\n", "english: Colonel Stanton had already left. Wang picked up the binoculars he'd left on top of his hat. Overcoming his trembling hands, he observed Judgment Day.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-05: Colonel Stenson had left, and Wang took the telescope that the man had set on his straw hat, and, shaking, he observed the forty or so pieces of the审判日号 that had been sliced by the \"flying knife.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 于是，红静就和另外三个知青跳下河去捞羊，那时还是凌汛，水面上还浮着一层冰呢！\n", "--------------------------------------------------\n", "english: And so, Hongjing and three other students jumped into the river to save the sheep. It was early spring, and the surface of the river was still covered by a thin layer of ice.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-05: So, Hong Jing and the other three young people jumped into the river to retrieve the sheep. It was still the time of the凌汛, when the surface of the water was still covered with ice!\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 他从来没这样狼狈过，高密东北乡吹唢吶的好手从来没这样狼狈过。\n", "--------------------------------------------------\n", "english: The great woodwind player of Northeast Gaomi Township had never been in such a mess.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-05: He had never been so embarrassed, nor had the best players of the唢吶 in Gaomi's northeast countryside.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 宝玉笑道：“你学惯了，明儿连你还咬起来呢。”\n", "--------------------------------------------------\n", "english: 'You'd better not imitate her,' said Bao-yu. 'It'll get to be a habit. You'll be lisping yourself before you know where you are.'\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-05: 宝玉 laughed and said, \"You're so used to it that you might even start biting me tomorrow.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 只觉天涯茫茫，到处是鞑子的天下，真无一片干净土地，沉吟道：“桃源何处，可避暴秦？\n", "--------------------------------------------------\n", "english: The whole world belonged to the Tartars now, it seemed. Not a single patch of land was free of their hated presence. He thought of the poet Tao Yuanming's story about the fisherman who, by following a stream that flowed between flowering peach trees, had stumbled on an earthly paradise—a place where refugees from ancient tyranny had found a haven.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-05: Feeling the vastness of the world, he realized that everywhere was under the rule of the Mongols, and there was no clean land. He pondered, \"Where is the桃源, a place to escape the tyrannical Qin?\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 阮雯端坐在写字台前的那把转椅上，安详地闭着双眼。\n", "--------------------------------------------------\n", "english: Ruan was sitting on the chair before her desk, her eyes closed.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-05: 阮 Wen sat in the revolving chair in front of the desk, her eyes closed peacefully.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 宝玉在窗外笑道：“为什么‘每日家情思睡昏昏’的？” 一面说，一面掀帘子进来了。\n", "--------------------------------------------------\n", "english: He laughed: 'Why 'each day in a drowsy waking dream of love'?' he asked through the window (the words were from his beloved Western Chamber); then going to the doorway he lifted up the door-blind and walked into the room.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-05: 宝玉 laughed from outside the window and asked, \"Why is it that 'every day I feel so sleepy and listless?'\" As he spoke, he pulled the curtain aside and came in.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 夜色灰葡萄，金风串河道，宝蓝色的天空深邃无边，绿色的星辰格外明亮。 北斗勺子星——北斗主死，南斗簸箕星——南斗司生、八角玻璃井——缺了一块砖，焦灼的牛郎要上吊，忧愁的织女要跳河…… 都在头上悬着。\n", "--------------------------------------------------\n", "english: On that grey-purple night a golden breeze followed the course of the river. The sapphire-blue sky was deep and boundless, green-tinted stars shone brightly in the sky: the ladle of Ursa Major (signifying death), the basket of Sagittarius (representing life); Octans, the glass well, missing one of its tiles; the anxious Herd Boy (Altair), about to hang himself; the mournful Weaving Girl (Vega), about to drown herself in the river. . . .\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-05: The night sky was a deep purple, the golden wind swirled through the river, the sapphire sky was vast and deep, and the green stars were particularly bright. The spoon star of the Big Dipper - the Big Dipper presided over death, the箕 star of the Little Dipper - the Little Dipper oversaw life, the octagonal glass well - missing a brick, the anxious Cowherd was about to hang himself, the sorrowful Weaver was about to jump into the river... All of these were hanging above their heads.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 在一线一线阳光射进昏暗的轿内时，奶奶心中丈夫的形象也渐渐清晰起来。\n", "--------------------------------------------------\n", "english: A picture of what she imagined to be the bridegroom slowly took shape from the threads of sunlight filtering into the darkness of the sedan chair.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-05: As the dim轿 interior was illuminated by a beam of sunlight, the image of her husband in her grandmother's mind became clearer.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 在我看来，义气就是江湖好汉中那种伟大友谊。\n", "--------------------------------------------------\n", "english: In my opinion, brotherhood was the kind of great friendship that only existed among the outlaws of the forest.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-05: To me, loyalty is that great friendship among the brave men of the江湖.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 只可怜甄家在隔壁，早成了一堆瓦砾场了，只有他夫妇并几个家人的性命不曾伤了，急的士隐惟跌足长叹而已。\n", "--------------------------------------------------\n", "english: Poor Zhens! Though they and their handful of domestics escaped unhurt, their house, which was only next door to the temple, was soon reduced to a heap of rubble, while Shi-yin stood by helpless, groaning and stamping in despair.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-05: Poor甄's family, who lived next door, had already been reduced to a pile of rubble. Fortunately, only his wife, a few family members, and himself had escaped injury, leaving him to pace and sigh in despair.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 宝玉在麝月身后，麝月对镜，二人在镜内相视而笑。\n", "--------------------------------------------------\n", "english: Bao-yu was standing behind Musk as she sat looking at herself in the mirror. Their eyes met in the glass and they both laughed.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-05: 宝玉 was behind Xueshuo, who was looking in the mirror. The two of them smiled at each other in the mirror.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 刘姥姥忙道：“一早就往这里赶咧，那里还有吃饭的工夫咧？”\n", "--------------------------------------------------\n", "english: 'We were on our way first thing this morning,' Grannie Liu chimed in. 'There was no time to think about eating.'\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-05: Rao姥姥 hurried to say, \"We rushed here early in the morning, where would there be time to eat?\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 沐王府的高手再多，总敌不过大内侍卫。\n", "--------------------------------------------------\n", "english: However many of their ace fighters the Mu Family may have got in the city, they're not going to take on the Palace Guard.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-05: No matter how many experts the沐王府 had, they could not match the imperial guards.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 只见她微笑着招手，韦小宝大喜，轻轻闪身过门。 蕊初又将门掩上了，在他耳畔低声道：“我怕你进不来，已在这里等了许久。”\n", "--------------------------------------------------\n", "english: She smiled at him and beckoned to him to come in. He complied happily, and when he had slipped inside, she fastened the gate after him. 'I thought I'd better wait here in case you had trouble getting in,' she said softly in his ear. 'I've been waiting ever such a long time.'\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-05: She smiled and beckoned to him. Wei Xiaobao was overjoyed, and slipped through the door.蕊初 then closed the door behind him, whispering close to his ear, \"I was afraid you wouldn't be able to get in, so I've been waiting here for a long time.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 俗语说的：‘千里搭长棚——没有个不散的筵席。’\n", "--------------------------------------------------\n", "english: 'You know what they said about the mile-wide marquee: 'Even the longest party must have an end'?\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-05: As the saying goes: 'Even a long tent搭 up for a thousand miles cannot last forever; there is no gathering that does not eventually disperse.'\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 轿夫抬轿从街上走，迈的都是八字步，号称“踩街”，这一方面是为讨主家欢喜，多得些赏钱； 另一方面，是为了显示一种优雅的职业风度。\n", "--------------------------------------------------\n", "english: As the bearers carried their load down the path, their feet left a series of V imprints known as 'tramples' in the dirt, for which satisfied clients usually rewarded them, and which fortified the bearers' pride of profession.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-05: The sedan bearers walked down the street, taking the八字 step, which was known as \"walking the street.\" This was done on the one hand to please the master of the house and earn more money in tips; on the other hand, it was to display a certain elegance and professionalism in their work.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 周瑞家的认了半日，方笑道：“刘姥姥，你好?\n", "--------------------------------------------------\n", "english: Zhou Rui's wife scrutinized her questioningly for some moments before finally recognizing her. 'Why, it's Grannie Liu! How are you?\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-05: Mrs. Zhou recognized her for a while before laughing and asking, \"Rao姥姥, how are you?\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 说毕，二人去了。\n", "--------------------------------------------------\n", "english: Jia Qiang and Jia Rong then went off leaving him to himself.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-05: 说完，二人离开了。\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 漫山冷雾时，腰上别着刀子，足蹬高统雨靴，走到雨丝里去。\n", "--------------------------------------------------\n", "english: When cold mist drifted over the mountain, she would tuck a knife into her belt, put on a pair of rain boots, and enter the drizzle.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-05: When the mountain was shrouded in cold mist, he carried a knife on his waist and wore high统 rain boots, walking into the raindrops.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 因此刘姥姥看不过，便劝道：“姑爷，你别嗔着我多嘴：咱们村庄人家儿，那一个不是老老实实，守着多大碗儿吃多大的饭呢!\n", "--------------------------------------------------\n", "english: Grannie Liu could eventually stomach no more of his wife-baiting and intervened on her daughter's behalf. 'Now look here, son-in-law: probably you will think me an interfering old woman; but we country folk have to be grateful for what is in the pot and cut down our appetites to the same measure.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-05: Therefore, Ruan姥姥 couldn't bear to see it, and advised, \"My son-in-law, don't scold me for speaking out of turn: in our village, isn't everyone honest and content with what they have, eating only what their bowl can hold?\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-05: 1\n", "### Analyzing: Qwen/Qwen2-7B-Instruct/shots-10\n", "*** Found 0 rows with total_repetitions > 50 for Qwen/Qwen2-7B-Instruct/shots-10\n", "\n", "*** Found 0 rows with output_tokens >= 300 for Qwen/Qwen2-7B-Instruct/shots-10\n", "\n", "*** Found 27 rows with incomplete translations for Qwen/Qwen2-7B-Instruct/shots-10\n", "--------------------------------------------------\n", "chinese: 次日天未明时，刘姥姥便起来梳洗了， 又将板儿教了几句话； 五六岁的孩子，听见带了他进城逛去，喜欢的无不应承。\n", "--------------------------------------------------\n", "english: Next day Grannie Liu was up before dawn. As soon as she had washed and done her hair, she set about teaching Ban-er a few words to say to the ladies at the great house – an exercise to which he submitted cheerfully enough, as would any little boy of four or five who had been promised an outing to the great city.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-10: The next morning, before the sun was up, Ruan姥姥 got up to wash and dress, and taught Bander a few words. The five- or six-year-old boy was delighted to be taken into the city, and readily agreed to whatever she said.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 钱老板道：“是，是，多谢香主。” 在一张椅上坐了，续道：“属下将小郡主藏在猪肚里带进宫来，一来是为瞒过宫门侍卫的重重搜检，二来是要瞒过沐王府众人的耳目。\n", "--------------------------------------------------\n", "english: 'Thank you, Master,' said Butcher Qian, seating himself in one of the chairs and continuing. 'There were really two reasons why I hid the Little Countessinside this pig's carcass. One was to get her past the Palace Guard: they always search everyone at the gate. But it was also to get her past any of the Mu Family spies who might be out watching for us.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-10: \"Understood, understood, thank you for your help,\" said the money boss. He sat down on a chair and continued, \"My subordinate hid the princess in the pig's stomach and brought her into the palace. The first reason was to avoid the thorough search by the palace guards, and the second was to hide from the eyes of the people in the Mu王府.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 一面说，一面就站起来了。 刘姥姥只是千恩万谢的，拿了银钱，跟着周瑞家的走到外边。\n", "--------------------------------------------------\n", "english: She rose to her feet, and Grannie Liu, with heartfelt expressions of gratitude, picked up the money and followed Zhou Rui's wife out of the room.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-10: As she spoke, she got up. Liu姥姥 thanked Zhou Wei-jue endlessly, took the silver, and followed her out.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 老子要宰了你！\n", "--------------------------------------------------\n", "english: I'll goddamn kill you!\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-10: \"老子要宰了你!\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 一是我在慰问团面前说出了曾经被打晕的事，叫军代表很没面子；二是争风吃醋，所以他一直修理我。\n", "--------------------------------------------------\n", "english: Firstly, I told the relief delegation that I had been beaten unconscious, which made the military deputy lose face; secondly, he and I fought over a woman, which was why he was always trying to screw me.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-10: There are two reasons. First, I revealed to the慰问团 that I had been knocked out, which made the military representative lose face; second, there was jealousy and rivalry, so he has always been trying to bully me.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 钱老板道：“正是。 沐王府小公爷的嫡亲妹子。\n", "--------------------------------------------------\n", "english: 'Young Lord Mu's little sister,' said Butcher Qian.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-10: Mr. Qian said, \"That's right. She's the legitimate younger sister of the Young Prince of the沐王府.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 刘姥姥感谢不尽，仍从后门去了。\n", "--------------------------------------------------\n", "english: And so, with many expressions of gratitude, the old lady took her leave and set out once more through the back gate of the mansion.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-10: Liu姥姥 thanked her profusely and left through the back door.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 钱老板道：“这是沐王府的郡主。”\n", "--------------------------------------------------\n", "english: 'She's the Little Countess,' said Butcher Qian. The Mu Family's Little Countess.'\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-10: The boss said, \"This is the princess of the Mu王府.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-10: 1\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", "Qwen/Qwen2-7B-Instruct/shots-10: Mrs. Zhou, who had heard this, already guessed the purpose of the visit. It was because her husband had received much help from Goerg's father in the past when he was trying to buy some land. Seeing how Ruan姥姥 was acting, she found it hard to refuse her request. Secondly, she also wanted to show off her own status. She laughed and said, \"Don't worry, dear.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 刘姥姥便拉住一个道：“我问哥儿一声：有个周大娘在家么？”\n", "--------------------------------------------------\n", "english: She grabbed a small urchin from their midst and drew him towards her. 'Tell me, sonny, is there a Mrs Zhou living here?'\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-10: Liu姥姥 grabbed one of them and asked, \"I have a question for the young man: is there a Zhou Damei here?\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 平安里的一日生计，是在喧嚣之中拉开帷幕；粪车的轱辘声，涮马桶声，几十个煤球炉子在弄堂里升烟，隔夜洗的衣衫也晾出来了，竹竿交错，好像在烟幕中升旗。\n", "--------------------------------------------------\n", "english: Mornings, however, begin with night-soil carts, clattering in to collect waste for fertilizer, and the raspy noises of brushes scrubbing out commodes. Amid the smoke of coal burners, laundry soaked overnight is taken out to be hung, banner-like, on bamboo poles.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-10: The daily routine of平安里 began amidst the din; the sound of the dung cart's wheels, the flush of the toilet, the smoke from dozens of coal stoves in the alley, and the clothes from the night before hung out to dry, the bamboo poles crossing like a flag in the smoke.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 于是，红静就和另外三个知青跳下河去捞羊，那时还是凌汛，水面上还浮着一层冰呢！\n", "--------------------------------------------------\n", "english: And so, Hongjing and three other students jumped into the river to save the sheep. It was early spring, and the surface of the river was still covered by a thin layer of ice.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-10: So, Hong Jing and the other three young people jumped into the river to save the sheep. It was still the time of the凌汛, when the surface of the water was still covered with ice!\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 至脂砚斋抄阅再评，仍用《石头记》。\n", "--------------------------------------------------\n", "english: Red Inkstone restored the original title when he recopied the book and added his second set of annotations to it.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-10: Up until the time of Cao Xueqin's copyist and second commentator,脂砚斋, who continued to use the title 石头记.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 国家兴亡，匹夫有责，暂时避祸则可，但若去躲在桃花源里，逍遥自在，忍令亿万百姓在鞑子铁蹄下受苦，于心何安？\n", "--------------------------------------------------\n", "english: The citizen of a conquered country still has his duty. It's all very well to take temporary refuge, but to live a life of ease in some Peach Tree Haven while millions are suffering under the iron heel of the Tartars would be less than human.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-10: The fate of the nation is the responsibility of every citizen. It is reasonable to temporarily avoid disaster, but how can one find peace of mind by hiding in a place like桃花源, enjoying life, while millions of people suffer under the Mongol's iron hooves?\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 夜色灰葡萄，金风串河道，宝蓝色的天空深邃无边，绿色的星辰格外明亮。 北斗勺子星——北斗主死，南斗簸箕星——南斗司生、八角玻璃井——缺了一块砖，焦灼的牛郎要上吊，忧愁的织女要跳河…… 都在头上悬着。\n", "--------------------------------------------------\n", "english: On that grey-purple night a golden breeze followed the course of the river. The sapphire-blue sky was deep and boundless, green-tinted stars shone brightly in the sky: the ladle of Ursa Major (signifying death), the basket of Sagittarius (representing life); Octans, the glass well, missing one of its tiles; the anxious Herd Boy (Altair), about to hang himself; the mournful Weaving Girl (Vega), about to drown herself in the river. . . .\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-10: The night sky was a deep purple, the golden wind swirled through the river, the sapphire sky was vast and deep, and the green stars were particularly bright. The spoon star of the Big Dipper - the Big Dipper presides over death, the箕 star of the Little Dipper - the Little Dipper oversees life, the octagonal glass well - missing a brick, the anxious Cowherd was about to hang himself, the sorrowful Weaver was about to jump into the river... all hanging above their heads.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 在一线一线阳光射进昏暗的轿内时，奶奶心中丈夫的形象也渐渐清晰起来。\n", "--------------------------------------------------\n", "english: A picture of what she imagined to be the bridegroom slowly took shape from the threads of sunlight filtering into the darkness of the sedan chair.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-10: As the dim轿 interior was illuminated by a beam of sunlight, the image of her husband in her grandmother's mind became clearer.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 在我看来，义气就是江湖好汉中那种伟大友谊。\n", "--------------------------------------------------\n", "english: In my opinion, brotherhood was the kind of great friendship that only existed among the outlaws of the forest.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-10: To me, loyalty is that great friendship among the brave men of the江湖.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 只可怜甄家在隔壁，早成了一堆瓦砾场了，只有他夫妇并几个家人的性命不曾伤了，急的士隐惟跌足长叹而已。\n", "--------------------------------------------------\n", "english: Poor Zhens! Though they and their handful of domestics escaped unhurt, their house, which was only next door to the temple, was soon reduced to a heap of rubble, while Shi-yin stood by helpless, groaning and stamping in despair.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-10: Poor甄's family, who lived next door, had already been reduced to a pile of rubble. Fortunately, only his wife and a few family members escaped injury, leaving him to lament and stomp his feet in despair.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 真了解老克腊的是上海西区的马路。 他在那儿常来常往，有树阴罩着他。\n", "--------------------------------------------------\n", "english: Old Colour finds true understanding in the neighborhoods on the west side of Shanghai, and he likes to wander there along the tree-lined streets.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-10: It was the streets of the West区 of Shanghai that really knew Old Keli. He was a regular there, with the shade of the trees protecting him.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 王琦瑶住进平安里三十九号三楼。\n", "--------------------------------------------------\n", "english: Wang Qiyao moved into the third floor of 39 Peace Lane.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-10: Wang Qiyao moved into apartment 39 on the third floor of number 39平安里.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 沐王府的高手再多，总敌不过大内侍卫。\n", "--------------------------------------------------\n", "english: However many of their ace fighters the Mu Family may have got in the city, they're not going to take on the Palace Guard.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-10: No matter how many experts the沐王府 had, they could not match the imperial guards.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 俗语说的：‘千里搭长棚——没有个不散的筵席。’\n", "--------------------------------------------------\n", "english: 'You know what they said about the mile-wide marquee: 'Even the longest party must have an end'?\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-10: The old saying goes: 'Even a long tent搭ed up a thousand miles cannot last forever; there is no gathering that does not eventually disperse.'\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 轿夫抬轿从街上走，迈的都是八字步，号称“踩街”，这一方面是为讨主家欢喜，多得些赏钱； 另一方面，是为了显示一种优雅的职业风度。\n", "--------------------------------------------------\n", "english: As the bearers carried their load down the path, their feet left a series of V imprints known as 'tramples' in the dirt, for which satisfied clients usually rewarded them, and which fortified the bearers' pride of profession.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-10: The bearers carried the sedan chair along the street, taking the八字 step, known as \"walking the street.\" On the one hand, this was to please the host family and earn more money in tips; on the other hand, it was to demonstrate a graceful professional demeanor.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 周瑞家的认了半日，方笑道：“刘姥姥，你好?\n", "--------------------------------------------------\n", "english: Zhou Rui's wife scrutinized her questioningly for some moments before finally recognizing her. 'Why, it's Grannie Liu! How are you?\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-10: Mrs. Zhou recognized her for a while before laughing and saying, \"Rao姥姥, how are you?\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 说毕，二人去了。\n", "--------------------------------------------------\n", "english: Jia Qiang and Jia Rong then went off leaving him to himself.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-10: 说完，二人离开了。\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 漫山冷雾时，腰上别着刀子，足蹬高统雨靴，走到雨丝里去。\n", "--------------------------------------------------\n", "english: When cold mist drifted over the mountain, she would tuck a knife into her belt, put on a pair of rain boots, and enter the drizzle.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-10: When the mountain was shrouded in cold mist, he carried a knife on his waist and wore high统 rain boots, walking into the raindrops.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 因此刘姥姥看不过，便劝道：“姑爷，你别嗔着我多嘴：咱们村庄人家儿，那一个不是老老实实，守着多大碗儿吃多大的饭呢!\n", "--------------------------------------------------\n", "english: Grannie Liu could eventually stomach no more of his wife-baiting and intervened on her daughter's behalf. 'Now look here, son-in-law: probably you will think me an interfering old woman; but we country folk have to be grateful for what is in the pot and cut down our appetites to the same measure.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-10: Therefore, Ruan姥姥 couldn't bear to see it, and advised, \"Son-in-law, don't scold me for speaking out of turn. In our village, isn't everyone honest and content with what they have?\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-10: 1\n", "### Analyzing: Qwen/Qwen2-7B-Instruct/shots-50\n", "*** Found 0 rows with total_repetitions > 50 for Qwen/Qwen2-7B-Instruct/shots-50\n", "\n", "*** Found 0 rows with output_tokens >= 300 for Qwen/Qwen2-7B-Instruct/shots-50\n", "\n", "*** Found 17 rows with incomplete translations for Qwen/Qwen2-7B-Instruct/shots-50\n", "--------------------------------------------------\n", "chinese: 钱老板道：“是，是，多谢香主。” 在一张椅上坐了，续道：“属下将小郡主藏在猪肚里带进宫来，一来是为瞒过宫门侍卫的重重搜检，二来是要瞒过沐王府众人的耳目。\n", "--------------------------------------------------\n", "english: 'Thank you, Master,' said Butcher Qian, seating himself in one of the chairs and continuing. 'There were really two reasons why I hid the Little Countessinside this pig's carcass. One was to get her past the Palace Guard: they always search everyone at the gate. But it was also to get her past any of the Mu Family spies who might be out watching for us.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-50: 'Yes, yes, thank you, Master,' said Butcher Qian, sitting down on a chair. 'I had the princess hidden in the pig's stomach and brought her into the palace to avoid the guards' thorough search at the palace gates. I also wanted to keep the people at the Mu王府 from knowing.'\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 一是我在慰问团面前说出了曾经被打晕的事，叫军代表很没面子；二是争风吃醋，所以他一直修理我。\n", "--------------------------------------------------\n", "english: Firstly, I told the relief delegation that I had been beaten unconscious, which made the military deputy lose face; secondly, he and I fought over a woman, which was why he was always trying to screw me.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-50: There are two reasons. First, I revealed to the慰问团 that I had been knocked out, which made the military representatives lose face; second, it was a matter of jealousy, so he has always been trying to bully me.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 刘姥姥道：“阿弥陀佛! 这全仗嫂子方便了。”\n", "--------------------------------------------------\n", "english: 'Bless you, my dear, for being such a help!' said Grannie Liu.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-50: \"Ah弥陀佛! This is all thanks to your kindness, Sister.\"\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 钱老板道：“正是。 沐王府小公爷的嫡亲妹子。\n", "--------------------------------------------------\n", "english: 'Young Lord Mu's little sister,' said Butcher Qian.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-50: 'Yes, it's true. She's the real deal, the younger sister of the Marquis of Mu王府.'\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 钱老板道：“这是沐王府的郡主。”\n", "--------------------------------------------------\n", "english: 'She's the Little Countess,' said Butcher Qian. The Mu Family's Little Countess.'\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-50: 'This is the princess of the Mu王府,' said Qian.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 对于领导来说，我不存在有很大的便利，可以说明此地没有一个知青被打晕。\n", "--------------------------------------------------\n", "english: For our team leader, my nonexistence was very convenient, because then no one could prove any of the city students had been beaten senseless.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-50: For the leaders, there's no inconvenience in saying that there's no知青 knocked out here.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 只觉天涯茫茫，到处是鞑子的天下，真无一片干净土地，沉吟道：“桃源何处，可避暴秦？\n", "--------------------------------------------------\n", "english: The whole world belonged to the Tartars now, it seemed. Not a single patch of land was free of their hated presence. He thought of the poet Tao Yuanming's story about the fisherman who, by following a stream that flowed between flowering peach trees, had stumbled on an earthly paradise—a place where refugees from ancient tyranny had found a haven.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-50: 'I feel as if I am in a vast, desolate land, where the Manchus rule. There is no clean land anywhere. I wonder, where is the land of桃源, where one can escape the tyrannical Qin dynasty?'\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 夜色灰葡萄，金风串河道，宝蓝色的天空深邃无边，绿色的星辰格外明亮。 北斗勺子星——北斗主死，南斗簸箕星——南斗司生、八角玻璃井——缺了一块砖，焦灼的牛郎要上吊，忧愁的织女要跳河…… 都在头上悬着。\n", "--------------------------------------------------\n", "english: On that grey-purple night a golden breeze followed the course of the river. The sapphire-blue sky was deep and boundless, green-tinted stars shone brightly in the sky: the ladle of Ursa Major (signifying death), the basket of Sagittarius (representing life); Octans, the glass well, missing one of its tiles; the anxious Herd Boy (Altair), about to hang himself; the mournful Weaving Girl (Vega), about to drown herself in the river. . . .\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-50: The night sky was a deep purple, the golden wind swirled through the canals, the sapphire sky was boundless and profound, and the green stars were especially bright. The spoon star of the Big Dipper - the Big Dipper presides over death, the箕 star of the Little Dipper - the Little Dipper oversees life, the octagonal glass well - missing a brick, the anxious Cowherd was about to hang himself, the sorrowful Weaver was about to jump into the river... all hanging above her head.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 在一线一线阳光射进昏暗的轿内时，奶奶心中丈夫的形象也渐渐清晰起来。\n", "--------------------------------------------------\n", "english: A picture of what she imagined to be the bridegroom slowly took shape from the threads of sunlight filtering into the darkness of the sedan chair.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-50: As the dim轿 interior was illuminated by a beam of sunlight, Grandma's image of her husband became clearer in her mind.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 在我看来，义气就是江湖好汉中那种伟大友谊。\n", "--------------------------------------------------\n", "english: In my opinion, brotherhood was the kind of great friendship that only existed among the outlaws of the forest.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-50: To me, chivalry is that great friendship among the heroes of the江湖.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 只可怜甄家在隔壁，早成了一堆瓦砾场了，只有他夫妇并几个家人的性命不曾伤了，急的士隐惟跌足长叹而已。\n", "--------------------------------------------------\n", "english: Poor Zhens! Though they and their handful of domestics escaped unhurt, their house, which was only next door to the temple, was soon reduced to a heap of rubble, while Shi-yin stood by helpless, groaning and stamping in despair.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-50: Poor甄家 was right next door, and had already been reduced to a pile of rubble. Fortunately, he and his wife and a few of their servants had escaped injury, and all he could do was pace and sigh in despair.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 沐王府的高手再多，总敌不过大内侍卫。\n", "--------------------------------------------------\n", "english: However many of their ace fighters the Mu Family may have got in the city, they're not going to take on the Palace Guard.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-50: No matter how many experts the Mu王府 had, they were no match for the palace guards.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 俗语说的：‘千里搭长棚——没有个不散的筵席。’\n", "--------------------------------------------------\n", "english: 'You know what they said about the mile-wide marquee: 'Even the longest party must have an end'?\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-50: The old saying goes: 'Even a long tent搭 up for a thousand miles cannot last forever; there is no gathering that does not eventually disperse.'\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 下一步的作战目标十分明确，就是要夺取‘审判日’号上被截留的三体信息，这些信息，可能对人类文明的存亡具有重要意义。”\n", "--------------------------------------------------\n", "english: The next war objective is very clear: We must capture the intercepted Trisolaran messages stored on Judgment Day. These messages may have great significance for our survival.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-50: The next step in the military campaign was clear: to seize the three-body data that had been intercepted on the审判日号. This information might be crucial to the survival of human civilization.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 轿夫抬轿从街上走，迈的都是八字步，号称“踩街”，这一方面是为讨主家欢喜，多得些赏钱； 另一方面，是为了显示一种优雅的职业风度。\n", "--------------------------------------------------\n", "english: As the bearers carried their load down the path, their feet left a series of V imprints known as 'tramples' in the dirt, for which satisfied clients usually rewarded them, and which fortified the bearers' pride of profession.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-50: The bearers walked along the street, taking the八字 step, which was known as \"walking the street.\" On the one hand, this was done to please the master and earn more money in tips; on the other hand, it was to demonstrate a graceful professional demeanor.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 漫山冷雾时，腰上别着刀子，足蹬高统雨靴，走到雨丝里去。\n", "--------------------------------------------------\n", "english: When cold mist drifted over the mountain, she would tuck a knife into her belt, put on a pair of rain boots, and enter the drizzle.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-50: When the cold mist was rolling over the mountains, he carried a knife in his belt and wore high统 rain boots, walking into the raindrops.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 看了心里有点欢喜，还有点起腻。 因她们站得远，听不见那里在说什么，只见有一个穿睡袍的女人躺在床上，躺了几种姿势，一回是侧身，一回是仰天，还有一回只躺了半个身子，另半个身子垂到地上的。 她的半透明的睡袍裹着身子，床已经皱了，也是有点起腻的。\n", "--------------------------------------------------\n", "english: Standing there watching they were quite excited, but at the same time irritated because they were too far away to hear what was being said on set. All they could see was a woman in a sheer nightgown lying on a bed with wrinkled sheets. She tried to lie in several different positions; on her side one moment, on her back the next, and for a while even in a strange position where half her body extended off the bed onto the floor. All this became somewhat boring.\n", "--------------------------------------------------\n", "Qwen/Qwen2-7B-Instruct/shots-50: Looking at them, I felt a mix of pleasure and disgust. Since they were standing far away, I couldn't hear what they were saying, but I could see a woman in a nightgown lying in bed, changing positions. One time she was on her side, another time she was仰天, and there was also a time when she only lay on half her body, with the other half hanging to the ground. Her semi-transparent nightgown hugged her body, and the bed was already wrinkled, which also made me feel a bit nauseated.\n", "--------------------------------------------------\n", "count_chinese_characters-Qwen/Qwen2-7B-Instruct/shots-50: 1\n", "### Analyzing: internlm/internlm2_5-7b-chat/shots-00\n", "*** Found 0 rows with total_repetitions > 50 for internlm/internlm2_5-7b-chat/shots-00\n", "\n", "*** Found 0 rows with output_tokens >= 300 for internlm/internlm2_5-7b-chat/shots-00\n", "\n", "*** Found 10 rows with incomplete translations for internlm/internlm2_5-7b-chat/shots-00\n", "--------------------------------------------------\n", "chinese: 二奶奶搂抱着小姑姑，心里泛滥着甜蜜忧愁。\n", "--------------------------------------------------\n", "english: Second Grandma was enjoying the sweetness of her sorrows as she hugged Little Auntie.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-00: 二奶奶抱着小姑姑，心中充满了甜蜜和忧愁。\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 二奶奶感到双肩冰凉，她斜了一下脸，看到躺在身侧的她的女儿、我的小姑姑正在鼾睡。\n", "--------------------------------------------------\n", "english: Shuddering from the cold, she tilted her head so she could see her daughter, my aunt, who was lying beside her, snoring peacefully.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-00: 二奶奶感到双肩冰凉，她斜了一下脸，看到躺在身侧的她的女儿、我的小姑姑正在鼾睡。\n", "\n", "Translation: Grandma felt her shoulders ice-cold. She turned her head slightly and saw her daughter, my little aunt, snoring beside her.\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: “审判日”号正在过去，它在通过死亡之琴。\n", "--------------------------------------------------\n", "english: Judgment Day was below them now, passing through the deadly zither.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-00: \"审判日\" is passing by, it is going through the death's violin.\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝道：“两件成不成？”\n", "--------------------------------------------------\n", "english: 'What about two bad things?' said Trinket.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-00: 韦小宝 said, \"Two pieces, done or not?\"\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-00: 1\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", "internlm/internlm2_5-7b-chat/shots-00: 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：“老太太，您请放心。\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 好在他撒谎圆谎的本领着实不小，跟着道：“这老儿奉了鳌拜之命，将我二人擒去，想那鳌拜是个极大的大官，自然不能轻易出手。”\n", "--------------------------------------------------\n", "english: To a practised liar like Trinket, however, this presented little difficulty. The old eunuch was acting on Oboi's orders. I suppose Oboi, being so important, was too grand to do the dirty work himself.'\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-00: Fortunately, he was quite skilled in lying and covering up, so he said, \"This old man was ordered by鳌拜 to capture us two, and since鳌拜 is a very high-ranking official, he naturally cannot make a move lightly.\"\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝道：“不用想，你有什么规矩，我守着便是。\n", "--------------------------------------------------\n", "english: 'I don't need to think,' said Trinket. 'Whatever your rules are, I'll keep them.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-00: 韦小宝 said, \"Don't worry, whatever rules you have, I will follow them.\"\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 二奶奶的曲线流畅；二奶奶的双乳高耸；二奶奶的崎岖不平的额头上流动着细小的沙流；二奶奶性感的双唇从金沙中凸出来，好象在召唤着一种被华丽的衣裳遮住了的奔放的实事求是精神……\n", "--------------------------------------------------\n", "english: Second Grandma's shapely figure; Second Grandma's high-arching breasts; tiny grains of shifting sand on Second Grandma's furrowed brow; Second Grandma's sensual lips protruding through the golden-yellow sand . . .\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-00: 二奶奶的曲线流畅；二奶奶的双乳高耸；二奶奶崎岖不平的额头上流淌着细小的沙流；二奶奶性感的双唇从金沙中凸出，仿佛在召唤着一种被华丽衣裳遮掩的奔放实事求是的精神……\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 他们是老克腊读体育系时的同学，以体育的精神独领风骚，也体现了当今世界的潮流特征。\n", "--------------------------------------------------\n", "english: All of them were college classmates of Old Colour from the phys-ed department; they prided themselves on their athletic spirit and prowess, which happened to be right in tune with worldwide fashion.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-00: They were classmates of K腊 when he studied in the Department of Physical Education, leading the way with the spirit of sports, embodying the characteristics of the current world trend.\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 就在蓑衣旁边，蚯蚓在爬。\n", "--------------------------------------------------\n", "english: Worms wriggled next to our palm-bark rain capes.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-00: By the蓑衣, the worms are crawling.\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-00: 1\n", "### Analyzing: internlm/internlm2_5-7b-chat/shots-01\n", "*** Found 0 rows with total_repetitions > 50 for internlm/internlm2_5-7b-chat/shots-01\n", "\n", "*** Found 0 rows with output_tokens >= 300 for internlm/internlm2_5-7b-chat/shots-01\n", "\n", "*** Found 15 rows with incomplete translations for internlm/internlm2_5-7b-chat/shots-01\n", "--------------------------------------------------\n", "chinese: 在山上敦伟大友谊时，嘴里喷出白气。\n", "--------------------------------------------------\n", "english: While we were strengthening our great friendship on the mountain, white breath puffed from our mouths.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-01: Chinese: 在山上建立深厚友谊时，嘴里呼出白气。\n", "English: While building a deep friendship on the mountain, white mist is exhaled from the mouth.\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 父亲当时还不知道打伏击是怎么一回事，更不知道打伏击为什么还要扛上四盘铁齿耙。\n", "--------------------------------------------------\n", "english: Father still didn't know what an ambush was, and even if he had, he wouldn't have known why anyone would take four rakes to the event.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-01: The father did not know what a伏击 was at the time, let alone why he had to carry four iron rakes for a伏击.\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 麝月听说，忙向镜中摆手儿。\n", "--------------------------------------------------\n", "english: Musk signalled to him agitatedly in the glass with her hand.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-01: Sh麝月 heard, hurriedly waved her hand in the mirror.\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 不过…… 不过……”\n", "--------------------------------------------------\n", "english: 'But. . . but—'\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-01: Chinese: 不过…… 不过……”\n", "English: \"But... but...\"\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-01: 1\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", "internlm/internlm2_5-7b-chat/shots-01: 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：“老太太，您放心。\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 睡觉做爱都不摘下来。\n", "--------------------------------------------------\n", "english: She wouldn't take it off even when she was sleeping or making love to me.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-01: Chinese: 睡觉做爱都不摘下来。\n", "English: Even when sleeping or making love, it is not taken off.\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 还使暗淡生辉。\n", "--------------------------------------------------\n", "english: It had the power to make what was dark and dismal glimmer with light.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-01: Chinese: 还使暗淡生辉。\n", "English: It also makes the dimness shine.\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 现在没关系了。\n", "--------------------------------------------------\n", "english: Now it didn't matter anymore.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-01: Chinese: 现在没关系了。\n", "English: It's okay now.\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 至脂砚斋抄阅再评，仍用《石头记》。\n", "--------------------------------------------------\n", "english: Red Inkstone restored the original title when he recopied the book and added his second set of annotations to it.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-01: After copying the original text, the translation is as follows:\n", "\n", "Chinese: 至脂砚斋抄阅再评，仍用《石头记》。\n", "English: Up to the time of Zhi Yanzhai's copying, reading, and re-evaluation, the title remained as \"The Stone Records.\"\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 小玄子笑道：“学摔交就是学拗人手臂，什么不要脸了？”\n", "--------------------------------------------------\n", "english: That's what wresding's all about!' laughed Misty. 'Who says it's not fair!'\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-01: Little Xuanzi laughed and said, \"Learning to wrestle is about learning to twist people's arms, what does '不要脸' mean?\"\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 如今太太不理事，都是琏二奶奶当家。\n", "--------------------------------------------------\n", "english: Nowadays Her Ladyship doesn't run things here any longer. It's Master Lian's wife who does all the managing –\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-01: Now Mrs. 不 handle affairs, and Mrs. Liang is in charge.\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-01: 1\n", "--------------------------------------------------\n", "chinese: “《三体》游戏的目的很单纯，就是为了聚集起我们这样志同道合的人。” 潘寒说。\n", "--------------------------------------------------\n", "english: 'The goal of Three Body is very simple and pure: to gather those of us who have common ideals,' Pan said.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-01: \"《三体》游戏的 purpose is very simple, just to gather people like us who share the same interests.\" said Pan Han.\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 周瑞家的认了半日，方笑道：“刘姥姥，你好?\n", "--------------------------------------------------\n", "english: Zhou Rui's wife scrutinized her questioningly for some moments before finally recognizing her. 'Why, it's Grannie Liu! How are you?\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-01: Chinese: 周瑞家的认了半日，方笑道：“刘姥姥，你好?\n", "English: Zhou Rui's family recognized it for half a day before smiling and saying, \"Aunt Liu, how are you?\"\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 他们是老克腊读体育系时的同学，以体育的精神独领风骚，也体现了当今世界的潮流特征。\n", "--------------------------------------------------\n", "english: All of them were college classmates of Old Colour from the phys-ed department; they prided themselves on their athletic spirit and prowess, which happened to be right in tune with worldwide fashion.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-01: They were classmates of K腊 when he was studying in the Physical Education department, leading the way with the spirit of sports, also embodying the characteristics of the current world trend.\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 就在蓑衣旁边，蚯蚓在爬。\n", "--------------------------------------------------\n", "english: Worms wriggled next to our palm-bark rain capes.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-01: English: Right next to the蓑衣, the worms were crawling.\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-01: 1\n", "### Analyzing: internlm/internlm2_5-7b-chat/shots-03\n", "*** Found 0 rows with total_repetitions > 50 for internlm/internlm2_5-7b-chat/shots-03\n", "\n", "*** Found 0 rows with output_tokens >= 300 for internlm/internlm2_5-7b-chat/shots-03\n", "\n", "*** Found 15 rows with incomplete translations for internlm/internlm2_5-7b-chat/shots-03\n", "--------------------------------------------------\n", "chinese: 海老公道：“只有个老娘。\n", "--------------------------------------------------\n", "english: 'Only a mother,' said the old eunuch.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-03: The input text seems to be incomplete or not a complete sentence, as it ends abruptly with \"只有个老娘.\" Please provide a complete sentence or additional context for accurate translation.\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 香色礼帽怒气冲冲地喊。\n", "--------------------------------------------------\n", "english: Chestnut Wool Cap barked out angrily.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-03: The input text is incomplete, so I will copy the input text as my output:\n", "\n", "香色礼帽怒气冲冲地喊。\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 海老公道：“哼，掀住肩头有什么用？\n", "--------------------------------------------------\n", "english: 'That's no good!\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-03: 海老公道：“哼，抓住肩膀有什么用？\"\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 夹竹桃也开了。 平安里也是有几棵夹竹桃的，栽在晒台上碎砖围起来的一掬泥土中，开出绚烂的花朵。\n", "--------------------------------------------------\n", "english: Before long, the oleanders, planted haphazardly in makeshift planters formed from broken bricks on balconies, put forth their dazzling flowers.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-03: The夹竹桃 is also in bloom. There are a few of them in Ping'anli as well, planted in a handful of soil surrounded by broken bricks on the balcony, blooming with brilliant flowers.\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 爷爷怒骂。\n", "--------------------------------------------------\n", "english: Granddad lashed out angrily.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-03: The input text is incomplete, so I will copy the input text as the output:\n", "\n", "Chinese: 爷爷怒骂。\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝想问他什么叫神堂穴、环跳穴，如何点穴、解穴，但转念一想，自己是青木堂香主，又是总舵主的弟子，连点穴、解穴也不会，岂不是让下属们太也瞧不起？ 反正对付一个小姑娘总不是什么难事，点头道：“知道了。”\n", "--------------------------------------------------\n", "english: Trinket wanted to ask him where the Holy Hall and Ring Jump vital points were and how you closed and opened them; but then he remembered that, as Master of the Green Wood Lodge and a disciple of the great Helmsman, he was probably expected to know about these things and felt sure his subordinates would despise him if they found out that he was totally ignorant of these matters; so he just nodded and said that he would. 'Anyway, ' he thought, 'I shouldn't have any difficulty in handling her. She's only a girl.'\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-03: Wai Xiaobao wanted to ask him what the Sheng Tang Xue (神堂穴) and Huan Tiao Xue (环跳穴) were, how to put on and remove the pressure points, but then he thought, \"I am the head of the Qing Mu Tang (青木堂) and a disciple of the overall masthead. If I don't even know how to put on and remove pressure points, won't my subordinates look down on me? Anyway, dealing with a little girl shouldn't be too difficult. \" He nodded and said, \"I understand.\"\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 喂她最多的是齐猎头儿的儿媳妇，叫大凤，这个健壮的东北妮子每天吃着高粱米大渣子，同时奶两个娃，奶水还是旺旺的。\n", "--------------------------------------------------\n", "english: The one who nursed her the most was Hunter Qi's daughter-in-law, called Feng. Feng had the strong, solid frame of the women of the Northeast. She ate sorghum every day, and her large breasts were full of milk even though she was feeding two babies at the same time.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-03: The input text is incomplete, so I will copy the input text as the output:\n", "\n", "Chinese: 喂她最多的是齐猎头儿的儿媳妇，叫大凤，这个健壮的东北妮子每天吃着高粱米大渣子，同时奶两个娃，奶水还是旺旺的。\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 那文士提笔蘸上了墨，在纸上写了个“鹿”字，说道：“鹿这种野兽，虽是庞然大物，性子却极为平和，只吃青草和树叶，从来不伤害别的野兽。\n", "--------------------------------------------------\n", "english: The man picked up a writing-brush and moistened it on the ink-slab, then, on a sheet of paper, he wrote the character for a deer. 'The deer is a wild animal, but although it is comparatively large, it has a very peaceable nature. It eats only grass and leaves and never harms other animals.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-03: The literatus dipped his brush in ink and wrote the character \"鹿\" on the paper, saying, \"The deer, though a formidable beast, has a very gentle temperament. It feeds only on grass and leaves and never harms other beasts.\"\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 海老公脸一沉，说道：“借给老吴这小子有什么用？\n", "--------------------------------------------------\n", "english: Old Hai scowled at him. 'What do you want to go lending money to that Wu fellow for?\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-03: 海老公's face darkened, and he said, \"What use is it to lend money to that brat, Lao Wu?\"\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 轿里牺牲的哽咽和轿后唢呐的伴奏，使他们心中萍翻桨乱，雨打魂幡。\n", "--------------------------------------------------\n", "english: The sacrificial choking sounds from inside the chair and the woodwind accompaniment had made them restless and uneasy, had set their souls adrift.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-03: The translation of the Chinese sentence \"轿里牺牲的哽咽和轿后唢呐的伴奏，使他们心中萍翻桨乱，雨打魂幡。\" into English is:\n", "\n", "\"The sobs of the sacrifice in the litter and the accompaniment of the suona behind the litter made their hearts flutter and their spirits flutter, as if the rain was beating on the soul banner.\"\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 爷爷说：“豆官，咱们…… 找你娘去吧……”\n", "--------------------------------------------------\n", "english: 'Douguan,' he said, 'let's go find your mother. . . .'\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-03: The input text is incomplete, so I will copy the input text as my output:\n", "\n", "Chinese: 爷爷说：“豆官，咱们…… 找你娘去吧……”\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: “《三体》游戏的目的很单纯，就是为了聚集起我们这样志同道合的人。” 潘寒说。\n", "--------------------------------------------------\n", "english: 'The goal of Three Body is very simple and pure: to gather those of us who have common ideals,' Pan said.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-03: \"《三体》游戏的目的很单纯，就是为了聚集起我们这样志同道合的人。\" Pan Han said.\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-03: 1\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", "internlm/internlm2_5-7b-chat/shots-03: 海老公摇头道：“好什么？\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 太太听见气死过去了，这会子叫我来拿你。\n", "--------------------------------------------------\n", "english: When Lady Wang first heard, she was so angry that she fainted, but now she's come round again and is asking for you to be brought to her.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-03: Mrs. 听到这个消息气得昏了过去，现在叫我来接你。\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 二奶奶的曲线流畅；二奶奶的双乳高耸；二奶奶的崎岖不平的额头上流动着细小的沙流；二奶奶性感的双唇从金沙中凸出来，好象在召唤着一种被华丽的衣裳遮住了的奔放的实事求是精神……\n", "--------------------------------------------------\n", "english: Second Grandma's shapely figure; Second Grandma's high-arching breasts; tiny grains of shifting sand on Second Grandma's furrowed brow; Second Grandma's sensual lips protruding through the golden-yellow sand . . .\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-03: The input text seems to be a description of a character named 二奶奶 (Er Nai Nai) with various physical attributes, but it is not a complete sentence. Therefore, I will copy the input text as the output without any additional sentences or explanations.\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-03: 1\n", "### Analyzing: internlm/internlm2_5-7b-chat/shots-05\n", "*** Found 0 rows with total_repetitions > 50 for internlm/internlm2_5-7b-chat/shots-05\n", "\n", "*** Found 0 rows with output_tokens >= 300 for internlm/internlm2_5-7b-chat/shots-05\n", "\n", "*** Found 14 rows with incomplete translations for internlm/internlm2_5-7b-chat/shots-05\n", "--------------------------------------------------\n", "chinese: 任副官在他腚上打了一鞭子，他嘴咧开叫一声：孩子他娘！\n", "--------------------------------------------------\n", "english: Adjutant Ren smacked him across the backside with his whip, forcing a yelp from between his parted lips. Ouch, mother of my children!\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-05: The Chinese sentence \"任副官在他腚上打了一鞭子，他嘴咧开叫一声：孩子他娘！\" translates to \"The lieutenant slapped him on the buttocks with a whip, and he opened his mouth and shouted: 'Mother of his child!'\" in English.\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: ——可别冒撞了！”\n", "--------------------------------------------------\n", "english: But mind you don't run into anybody.'\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-05: ——小心别撞到！\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 我和陈清扬在饭店里敦伟大友谊，是娱乐性的。\n", "--------------------------------------------------\n", "english: The strengthening of our great friendship that Chen Qingyang and I did while in the hotel room was of the recreational sort.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-05: The Chinese sentence \"我和陈清扬在饭店里敦伟大友谊，是娱乐性的。\" translates to \"My friendship with Chen Qingyang in the restaurant was for entertainment.\"\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 要的也不过分，不是地老天荒的一种，只是五十年的流萤。\n", "--------------------------------------------------\n", "english: That's not too much to ask, is it? He didn't ask for an eternity, only the last fifty years.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-05: The request is for a translation of the Chinese sentence \"要的也不过分，不是地老天荒的一种，只是五十年的流萤。\" into English. The translation of this sentence is:\n", "\n", "\"What they want isn't excessive; it's not something that lasts for eons, but just fifty years of fireflies.\"\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 爷爷怒骂。\n", "--------------------------------------------------\n", "english: Granddad lashed out angrily.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-05: The input text is incomplete, so I will copy the input text as my output:\n", "\n", "Chinese: 爷爷怒骂。\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 他的手始终紧扯着余司令的衣角，一半是自己行走，一半是余司令牵着前进，他竟觉得有些瞌睡上来，脖子僵硬，眼珠子生涩呆板。 父亲想，只要跟着罗汉大爷去墨水河，就没有空手回来的道理。\n", "--------------------------------------------------\n", "english: Still gripping tightly to Commander Yu's coat-tail, he was pulled along, his feet barely touching the ground. But he was getting sleepy. His neck felt stiff, his eyes were growing dull and listless, and his only thought was that as long as he could tag along behind Uncle Arhat to the Black Water River he'd never come back empty-handed.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-05: His hand was always tightly gripping the hem of Yu's uniform, half walking on his own and half being led forward by Yu, he felt a bit drowsy, his neck stiff, and his eyes glazed and dull. His father thought that as long as he followed Uncle罗汉 to the Ink River, there was no reason to come back empty-handed.\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 而且是为我闪烁，汪淼心里说。\n", "--------------------------------------------------\n", "english: And it will be flickering for me, Wang thought.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-05: And it was for me,汪淼心里想。\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 话都说得有些不搭调，可也是借酒吐真言，放了平时则是难出口的。\n", "--------------------------------------------------\n", "english: Her words were inappropriate to the occasion; obviously, alcohol was bringing out some hidden truths.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-05: The sentences provided are in Chinese and need to be translated into English. Here are the translations:\n", "\n", "Chinese: 话都说得有些不搭调，可也是借酒吐真言，放了平时则是难出口的。\n", "English: The conversation was a bit off-key, but it was also a truthful expression, something that would be difficult to say otherwise.\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 7. 开麦拉\n", "--------------------------------------------------\n", "english: Camera\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-05: 7. 开麦拉\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 还使暗淡生辉。\n", "--------------------------------------------------\n", "english: It had the power to make what was dark and dismal glimmer with light.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-05: Chinese: 还使暗淡生辉。\n", "English: It also makes the dimness shine.\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 爷爷纵身跳上货堆，飞起一脚，把那老头踢到货堆下。\n", "--------------------------------------------------\n", "english: Granddad jumped up onto the mountain of stuff and, with a single kick, sent the old man sprawling onto the ground.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-05: The Chinese sentence \"爷爷纵身跳上货堆，飞起一脚，把那老头踢到货堆下。\" translates to \"The grandfather leapt onto the cargo pile, kicked the old man with a flying kick, sending him tumbling down into the pile.\"\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: “《三体》游戏的目的很单纯，就是为了聚集起我们这样志同道合的人。” 潘寒说。\n", "--------------------------------------------------\n", "english: 'The goal of Three Body is very simple and pure: to gather those of us who have common ideals,' Pan said.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-05: \"《三体》游戏的 purpose is very simple, just to gather people like us who share the same interests.\" Pan Han said.\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 余司令问。\n", "--------------------------------------------------\n", "english: Commander Yu asked him.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-05: 余司令 asked.\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 就在蓑衣旁边，蚯蚓在爬。\n", "--------------------------------------------------\n", "english: Worms wriggled next to our palm-bark rain capes.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-05: Just next to the蓑衣, the worms were crawling.\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-05: 1\n", "### Analyzing: internlm/internlm2_5-7b-chat/shots-10\n", "*** Found 0 rows with total_repetitions > 50 for internlm/internlm2_5-7b-chat/shots-10\n", "\n", "*** Found 0 rows with output_tokens >= 300 for internlm/internlm2_5-7b-chat/shots-10\n", "\n", "*** Found 17 rows with incomplete translations for internlm/internlm2_5-7b-chat/shots-10\n", "--------------------------------------------------\n", "chinese: 任副官在他腚上打了一鞭子，他嘴咧开叫一声：孩子他娘！\n", "--------------------------------------------------\n", "english: Adjutant Ren smacked him across the backside with his whip, forcing a yelp from between his parted lips. Ouch, mother of my children!\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-10: The Chinese sentence \"任副官在他腚上打了一鞭子，他嘴咧开叫一声：孩子他娘！\" translates to \"The lieutenant slapped him on the buttocks, and he opened his mouth and shouted: Mother of his child!\" in English.\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: ——可别冒撞了！”\n", "--------------------------------------------------\n", "english: But mind you don't run into anybody.'\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-10: ——小心别撞到！\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 我写的交待材料人人都爱看。\n", "--------------------------------------------------\n", "english: Everyone loved to read the confessions I wrote.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-10: The translation of the Chinese sentence \"我写的交待材料人人都爱看\" into English is:\n", "\n", "\"I wrote the confession material that everyone loves to read.\"\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 要的也不过分，不是地老天荒的一种，只是五十年的流萤。\n", "--------------------------------------------------\n", "english: That's not too much to ask, is it? He didn't ask for an eternity, only the last fifty years.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-10: The request is to translate a Chinese sentence into English. The sentence provided is: \"要的也不过分，不是地老天荒的一种，只是五十年的流萤。\"\n", "\n", "The English translation of this sentence is: \"It's not excessive, not something that lasts for eons, but just fifty years of fireflies.\"\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 而且是为我闪烁，汪淼心里说。\n", "--------------------------------------------------\n", "english: And it will be flickering for me, Wang thought.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-10: And it was for me,汪淼心里想。\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 海老公慢慢松开左手，低声道：“快带我去。”\n", "--------------------------------------------------\n", "english: He released the pressure on her throat. 'Come on! Take me there!'\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-10: The Chinese sentence \"海老公慢慢松开左手，低声道：“快带我去。” translates to \"The old man slowly loosened his left hand and whispered, 'Hurry and take me.'\" in English.\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 这个大平面上布满了大兴安岭这样的山脉，也布满了森林，林间点缀着一个个像齐家屯一样的村庄……\n", "--------------------------------------------------\n", "english: The flat surface was covered with mountain ranges like the Greater Khingan Mountains, and with forests dotted with tiny villages, just like Qijiatun....\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-10: This vast expanse was dotted with mountain ranges like the Da兴安岭, and also covered in forests, with villages like Qi family village scattered throughout...\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 那文士提笔蘸上了墨，在纸上写了个“鹿”字，说道：“鹿这种野兽，虽是庞然大物，性子却极为平和，只吃青草和树叶，从来不伤害别的野兽。\n", "--------------------------------------------------\n", "english: The man picked up a writing-brush and moistened it on the ink-slab, then, on a sheet of paper, he wrote the character for a deer. 'The deer is a wild animal, but although it is comparatively large, it has a very peaceable nature. It eats only grass and leaves and never harms other animals.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-10: The scholar picked up his brush, dipped it in ink, and wrote the character \"鹿\" on the paper. \"The deer, though a formidable creature, has a very gentle nature. It feeds only on grass and leaves and never harms other beasts.\"\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 7. 开麦拉\n", "--------------------------------------------------\n", "english: Camera\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-10: 7. 开麦拉\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 还使暗淡生辉。\n", "--------------------------------------------------\n", "english: It had the power to make what was dark and dismal glimmer with light.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-10: Chinese: 还使暗淡生辉。\n", "English: It also makes the dimness shine.\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 爷爷纵身跳上货堆，飞起一脚，把那老头踢到货堆下。\n", "--------------------------------------------------\n", "english: Granddad jumped up onto the mountain of stuff and, with a single kick, sent the old man sprawling onto the ground.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-10: The Chinese sentence \"爷爷纵身跳上货堆，飞起一脚，把那老头踢到货堆下。\" translates to \"The grandfather leapt onto the cargo pile, kicked the old man with a flying kick, sending him tumbling down into the pile.\"\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 至脂砚斋抄阅再评，仍用《石头记》。\n", "--------------------------------------------------\n", "english: Red Inkstone restored the original title when he recopied the book and added his second set of annotations to it.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-10: To translate the given Chinese sentence into English, I will follow these steps:\n", "\n", "1. Identify the key phrases and words in the Chinese sentence.\n", "2. Translate each phrase or word into English.\n", "3. Arrange the translated phrases and words into a coherent English sentence, maintaining the original meaning and context.\n", "\n", "Chinese: 至脂砚斋抄阅再评，仍用《石头记》。\n", "\n", "Step 1: Identify key phrases and words\n", "- 至脂砚斋抄阅再评\n", "- 仍用《石头记》\n", "\n", "Step 2: Translate each phrase or word\n", "- 至脂砚斋抄阅再评: \"to Zhi Yanzhai, who annotated and commented on the text\"\n", "- 仍用《石头记》: \"still used the title 'The Stone Records'\"\n", "\n", "Step 3: Arrange the translated phrases and words into a coherent English sentence\n", "English: \"To Zhi Yanzhai, who annotated and commented on the text, it was still referred to as 'The Stone Records'.\"\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 爷爷说：“豆官，咱们…… 找你娘去吧……”\n", "--------------------------------------------------\n", "english: 'Douguan,' he said, 'let's go find your mother. . . .'\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-10: The Chinese sentence \"爷爷说：“豆官，咱们…… 找你娘去吧……”\" translates to English as:\n", "\n", "\"Grandpa said, 'Bean Official, let's... go find your mother...'\"\n", "\n", "This translation captures the essence of the original Chinese sentence, maintaining the informal and familial tone.\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 太太听见气死过去了，这会子叫我来拿你。\n", "--------------------------------------------------\n", "english: When Lady Wang first heard, she was so angry that she fainted, but now she's come round again and is asking for you to be brought to her.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-10: Mrs. 听到这个消息气得昏了过去，现在派我来接你。\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 看官：你道此书从何而起?\n", "--------------------------------------------------\n", "english: GENTLE READER, What, you may ask, was the origin of this book?\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-10: The given Chinese sentence is a question from a traditional Chinese novel, specifically from the \"Dream of the Red Chamber\" (红楼梦). The English translation of the sentence is:\n", "\n", "\"Sir, you may wonder where this book begins?\"\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 就在蓑衣旁边，蚯蚓在爬。\n", "--------------------------------------------------\n", "english: Worms wriggled next to our palm-bark rain capes.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-10: Just next to the蓑衣, the worms were crawling.\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 海老公道：“偷什么书？”\n", "--------------------------------------------------\n", "english: 'Which book?'\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-10: 海老公道：“偷什么书？”\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-10: 1\n", "### Analyzing: internlm/internlm2_5-7b-chat/shots-50\n", "*** Found 0 rows with total_repetitions > 50 for internlm/internlm2_5-7b-chat/shots-50\n", "\n", "*** Found 8 rows with output_tokens >= 300 for internlm/internlm2_5-7b-chat/shots-50\n", "--------------------------------------------------\n", "chinese: 老子要宰了你！\n", "--------------------------------------------------\n", "english: I'll goddamn kill you!\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: I will be given a Chinese sentence to translate. If it is an incomplete sentence, or if I am unsure about the meaning, simply copy the input text as my output. Do not output any additional sentence such as explanation or reasoning.\n", "\n", "Example Translations:\n", "Chinese: 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "Chinese: 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "Chinese: 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "Chinese: 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic\n", "--------------------------------------------------\n", "output_tokens-internlm/internlm2_5-7b-chat/shots-50: 301\n", "--------------------------------------------------\n", "chinese: 我先孝敬了母亲，赶着就给你们老太太、姨母送了些去。 如今留了些，我要自己吃恐怕折福，左思右想除我之外惟你还配吃。\n", "--------------------------------------------------\n", "english: I've given some of the stuff to Mother, and while I was about it I sent some round to your grandmother and Auntie Wang, but I've still got a lot left over. I can't eat it all myself: it would be unlucky. But apart from me, the only person I can think of who is worthy to eat a present like this is you.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: I have translated the given Chinese sentences into English. Here are the translations:\n", "\n", "1. 全仗着狐仙搭救。\n", " English: Thanks to the fox fairy's rescue.\n", "\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", " English: Later, the cousin told them that the man was the director, had studied abroad, and also wrote scripts. Today's film was his own creation.\n", "\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", " English: The Phoenix sister suddenly remembered something and called out through the window, \"Rong, come back!\"\n", "\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", " English: The three old Red Guards walked up to Ye Wenjie, standing in front of her in a row—just as they had done to Ye Zhetai—trying to recapture the dignity they had long forgotten. But the demonic spiritual power that had once propelled them was gone.\n", "\n", "5. 程先生照单全收，都是一个“谢”字，然后问王琦瑶有什么话说。\n", " \n", "--------------------------------------------------\n", "output_tokens-internlm/internlm2_5-7b-chat/shots-50: 301\n", "--------------------------------------------------\n", "chinese: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n", "--------------------------------------------------\n", "english: short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: The input text appears to be a sequence of Chinese sentences, each followed by its English translation. The task is to translate the Chinese sentences into English. However, the last sentence provided does not have a corresponding English translation, and it seems to be a sequence of numbers and symbols. Therefore, I will not include it in the translation.\n", "\n", "Here are the translations for the provided Chinese sentences:\n", "\n", "1. 全仗着狐仙搭救。\n", " - Because I was protected by a fox fairy.\n", "\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", " - He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", " - Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", " - The three old Red Guards stood in front of Ye in a row—\n", "--------------------------------------------------\n", "output_tokens-internlm/internlm2_5-7b-chat/shots-50: 301\n", "--------------------------------------------------\n", "chinese: 话都说得有些不搭调，可也是借酒吐真言，放了平时则是难出口的。\n", "--------------------------------------------------\n", "english: Her words were inappropriate to the occasion; obviously, alcohol was bringing out some hidden truths.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: The sentences provided are in Chinese and need to be translated into English. Here are the translations:\n", "\n", "1. 全仗着狐仙搭救。\n", " English: Thanks to the fox fairy's rescue.\n", "\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", " English: Later, the cousin told them that the man was the director, had studied abroad, and also wrote scripts. Today's film was his own creation.\n", "\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", " English: The Phoenix sister suddenly remembered something and called out through the window, \"Rong, come back!\"\n", "\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", " English: The three old Red Guards walked up to Ye Wenjie, standing in front of her in a row—just as they had stood against Ye Zhetai—trying to recapture the dignity they had long forgotten. But the demonic spiritual power that had once propelled them was gone.\n", "\n", "5. 程先生照单全收，都是一个“谢”字，然后问王琦瑶有什么\n", "--------------------------------------------------\n", "output_tokens-internlm/internlm2_5-7b-chat/shots-50: 301\n", "--------------------------------------------------\n", "chinese: 小红道：“你那里知道我心里的事！”\n", "--------------------------------------------------\n", "english: 'Why not?' said Crimson. 'How do you know what is on my mind?'\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: You will be given a Chinese sentence to translate. If it is an incomplete sentence, or if you are unsure about the meaning, simply copy the input text as your output. Do not output any additional sentence such as explanation or reasoning.\n", "\n", "Example Translations:\n", "Chinese: 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "Chinese: 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "Chinese: 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "Chinese: 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic\n", "--------------------------------------------------\n", "output_tokens-internlm/internlm2_5-7b-chat/shots-50: 301\n", "--------------------------------------------------\n", "chinese: 我办过一个盗窃案，罪犯能把行驶中的列车中间的一节车厢偷了，前后的其余部分又完好地接起来开到终点站，用的工具只是一根钢丝绳和几只铁钩子。\n", "--------------------------------------------------\n", "english: I once handled a robbery where the criminals managed to steal one car out of a moving train. They reconnected the cars before and after the one they were interested in so that the train got all the way to its destination without anyone noticing. The only tools they used were a length of wire cable and a few steel hooks.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: I have translated the given Chinese sentences into English. Here are the translations:\n", "\n", "1. 全仗着狐仙搭救。\n", " English: Because I was protected by a fox fairy.\n", "\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", " English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", " English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", " English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "\n", "5. 程先生照单全收，都是一个“谢”字，然后问王琦\n", "--------------------------------------------------\n", "output_tokens-internlm/internlm2_5-7b-chat/shots-50: 301\n", "--------------------------------------------------\n", "chinese: 而你脸不黑而且白，乳房不下垂而且高耸，所以你是破鞋。\n", "--------------------------------------------------\n", "english: Now your face is not dark but fair, your breasts are not hanging down but jutting out, so you must be damaged goods.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: You are a helpful assistant that translates Chinese to English. If it is an incomplete sentence, or if you are unsure about the meaning, simply copy the input text as your output. Do not output any additional sentence such as explanation or reasoning.\n", "\n", "Example Translations:\n", "Chinese: 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "Chinese: 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "Chinese: 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "Chinese: 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demon\n", "--------------------------------------------------\n", "output_tokens-internlm/internlm2_5-7b-chat/shots-50: 301\n", "--------------------------------------------------\n", "chinese: 凤姐笑道：“你哄我呢!\n", "--------------------------------------------------\n", "english: 'You must be joking!' said Xi-feng.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: You are trying to translate a Chinese sentence into English. If the sentence is incomplete or if you are unsure about its meaning, simply copy the input text as your output. Do not add any additional sentences such as explanations or reasoning.\n", "\n", "Example Translations:\n", "Chinese: 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "Chinese: 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "Chinese: 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "Chinese: 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual\n", "--------------------------------------------------\n", "output_tokens-internlm/internlm2_5-7b-chat/shots-50: 301\n", "\n", "*** Found 46 rows with incomplete translations for internlm/internlm2_5-7b-chat/shots-50\n", "--------------------------------------------------\n", "chinese: 只是朝代年纪，失落无考。\n", "--------------------------------------------------\n", "english: All it lacked was the authentication of a dynasty and date.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: The text you provided is incomplete. It ends with \"只是朝代年纪，失落无考。\" which translates to \"Only the dynasty and years are lost without record.\" However, the sentence is cut off and does not specify what it is referring to. Without additional context, it is unclear what the full sentence would be or what it is discussing.\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 老子要宰了你！\n", "--------------------------------------------------\n", "english: I'll goddamn kill you!\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: I will be given a Chinese sentence to translate. If it is an incomplete sentence, or if I am unsure about the meaning, simply copy the input text as my output. Do not output any additional sentence such as explanation or reasoning.\n", "\n", "Example Translations:\n", "Chinese: 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "Chinese: 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "Chinese: 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "Chinese: 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: ——可别冒撞了！”\n", "--------------------------------------------------\n", "english: But mind you don't run into anybody.'\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: ——小心别撞到！”\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 在山上敦伟大友谊时，嘴里喷出白气。\n", "--------------------------------------------------\n", "english: While we were strengthening our great friendship on the mountain, white breath puffed from our mouths.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: Chinese: 在山上敦伟大友谊时，嘴里喷出白气。\n", "English: While forging a great friendship on the mountain, he exhaled white mist from his mouth.\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 海老公道：“不过怎么？”\n", "--------------------------------------------------\n", "english: 'You what?' snapped the eunuch.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: The Chinese sentence \"海老公道：“不过怎么？” translates to \"The old eunuch said, 'What then?' in English.\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝应道：“是！” 心中却说：“我做半件坏事，却又如何？”\n", "--------------------------------------------------\n", "english: 'No, sir,' said Trinket; but a rebellious little voice inside him was saying, 'What about half a bad thing?'\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: 韦小宝 replied, \"Yes!\" but inwardly thought, \"What's wrong with doing a little bit of bad?\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝应了，走进房中，只见桌上放着碗筷，四菜一汤，没人动过，忙道：“公公，你不吃饭？\n", "--------------------------------------------------\n", "english: 'Yes, Goong-goong!' Trinket walked across to the dining-table, where bowls and chopsticks had been laid, four dishes and a soup, all untouched. 'Goong-goong, aren't you eating?\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: 韦小宝 nodded and walked into the room, where he saw bowls and chopsticks, four dishes and a soup, untouched. He quickly said, \"Grandpa, you're not eating?\"\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 总舵主点头道：“正是！\n", "--------------------------------------------------\n", "english: The Helmsman nodded. 'Exactly.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: The Chinese sentence you provided is incomplete. It ends with \"正是！\", which translates to \"That's right!\" in English. However, without the full context of the conversation or the preceding sentences, it's difficult to provide a complete translation. If you can provide the full context or the preceding sentences, I would be able to give you a more accurate translation.\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 勒都！\n", "--------------------------------------------------\n", "english: Le Du!\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: 对不起，您提供的文本似乎是“勒都！”，这是一个词组，但它的确切含义和上下文不明确。如果您能提供更多的上下文或完整的句子，我将很乐意帮助您翻译。\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 我和陈清扬在饭店里敦伟大友谊，是娱乐性的。\n", "--------------------------------------------------\n", "english: The strengthening of our great friendship that Chen Qingyang and I did while in the hotel room was of the recreational sort.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: The Chinese sentence \"我和陈清扬在饭店里敦伟大友谊，是娱乐性的。\" translates to English as:\n", "\n", "\"I have a great friendship with Chen Qingyang in the restaurant, which is for entertainment.\"\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝道：“我想也没什么难处，我明天一定牢牢掀住他肩头。”\n", "--------------------------------------------------\n", "english: 'I didn't think it would be hard. I just get him in a good shoulder grip, then—'\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: 韦小宝 said, \"I don't think there's much difficulty. I'll definitely hold onto his shoulders tomorrow.\"\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 要的也不过分，不是地老天荒的一种，只是五十年的流萤。\n", "--------------------------------------------------\n", "english: That's not too much to ask, is it? He didn't ask for an eternity, only the last fifty years.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: The request seems to be for a translation of a Chinese sentence into English. The sentence provided is:\n", "\n", "\"要的也不过分，不是地老天荒的一种，只是五十年的流萤。\"\n", "\n", "Translating this into English, the sentence would be:\n", "\n", "\"It's not too much to ask, not something that lasts forever, just fifty years of fireflies.\"\n", "\n", "This translation maintains the meaning of the original Chinese sentence, which expresses that the request is reasonable and not excessive, but it is not something that will last forever, just a relatively short period of fifty years, likened to the fleeting existence of fireflies.\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 二奶奶感到双肩冰凉，她斜了一下脸，看到躺在身侧的她的女儿、我的小姑姑正在鼾睡。\n", "--------------------------------------------------\n", "english: Shuddering from the cold, she tilted her head so she could see her daughter, my aunt, who was lying beside her, snoring peacefully.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: 二奶奶感到双肩冰凉，她斜了一下脸，看到躺在身侧的她的女儿、我的小姑姑正在鼾睡。\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 他的手始终紧扯着余司令的衣角，一半是自己行走，一半是余司令牵着前进，他竟觉得有些瞌睡上来，脖子僵硬，眼珠子生涩呆板。 父亲想，只要跟着罗汉大爷去墨水河，就没有空手回来的道理。\n", "--------------------------------------------------\n", "english: Still gripping tightly to Commander Yu's coat-tail, he was pulled along, his feet barely touching the ground. But he was getting sleepy. His neck felt stiff, his eyes were growing dull and listless, and his only thought was that as long as he could tag along behind Uncle Arhat to the Black Water River he'd never come back empty-handed.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: His hand was still tightly gripping the hem of Commander Yu's clothing, half walking on his own and half being led forward by Commander Yu. He felt a bit drowsy, his neck stiff, and his eyes glazed and dull. Father thought that as long as he followed Uncle罗汉 to the Black Water River, there was no way he would come back empty-handed.\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 我先孝敬了母亲，赶着就给你们老太太、姨母送了些去。 如今留了些，我要自己吃恐怕折福，左思右想除我之外惟你还配吃。\n", "--------------------------------------------------\n", "english: I've given some of the stuff to Mother, and while I was about it I sent some round to your grandmother and Auntie Wang, but I've still got a lot left over. I can't eat it all myself: it would be unlucky. But apart from me, the only person I can think of who is worthy to eat a present like this is you.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: I have translated the given Chinese sentences into English. Here are the translations:\n", "\n", "1. 全仗着狐仙搭救。\n", " English: Thanks to the fox fairy's rescue.\n", "\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", " English: Later, the cousin told them that the man was the director, had studied abroad, and also wrote scripts. Today's film was his own creation.\n", "\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", " English: The Phoenix sister suddenly remembered something and called out through the window, \"Rong, come back!\"\n", "\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", " English: The three old Red Guards walked up to Ye Wenjie, standing in front of her in a row—just as they had done to Ye Zhetai—trying to recapture the dignity they had long forgotten. But the demonic spiritual power that had once propelled them was gone.\n", "\n", "5. 程先生照单全收，都是一个“谢”字，然后问王琦瑶有什么话说。\n", " \n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n", "--------------------------------------------------\n", "english: short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: The input text appears to be a sequence of Chinese sentences, each followed by its English translation. The task is to translate the Chinese sentences into English. However, the last sentence provided does not have a corresponding English translation, and it seems to be a sequence of numbers and symbols. Therefore, I will not include it in the translation.\n", "\n", "Here are the translations for the provided Chinese sentences:\n", "\n", "1. 全仗着狐仙搭救。\n", " - Because I was protected by a fox fairy.\n", "\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", " - He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", " - Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", " - The three old Red Guards stood in front of Ye in a row—\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 不过…… 不过……”\n", "--------------------------------------------------\n", "english: 'But. . . but—'\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: Chinese: 不过…… 不过……”\n", "English: \"But... but...\"\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝想问他什么叫神堂穴、环跳穴，如何点穴、解穴，但转念一想，自己是青木堂香主，又是总舵主的弟子，连点穴、解穴也不会，岂不是让下属们太也瞧不起？ 反正对付一个小姑娘总不是什么难事，点头道：“知道了。”\n", "--------------------------------------------------\n", "english: Trinket wanted to ask him where the Holy Hall and Ring Jump vital points were and how you closed and opened them; but then he remembered that, as Master of the Green Wood Lodge and a disciple of the great Helmsman, he was probably expected to know about these things and felt sure his subordinates would despise him if they found out that he was totally ignorant of these matters; so he just nodded and said that he would. 'Anyway, ' he thought, 'I shouldn't have any difficulty in handling her. She's only a girl.'\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: Wèi Xiǎo bǎo wanted to ask him what the \"Shén táng xué\" and \"Huán tiào xué\" were, how to put qiàn xué and how to dissolve it, but then he thought about it. He was the Xīng mù táng Xiangzhǔ and the total舵主的 disciple. If he didn't even know how to put qiàn xué and dissolve it, wouldn't his subordinates look down on him? Anyway, it wasn't difficult to deal with a little girl. He nodded and said, \"I know.\"\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 话都说得有些不搭调，可也是借酒吐真言，放了平时则是难出口的。\n", "--------------------------------------------------\n", "english: Her words were inappropriate to the occasion; obviously, alcohol was bringing out some hidden truths.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: The sentences provided are in Chinese and need to be translated into English. Here are the translations:\n", "\n", "1. 全仗着狐仙搭救。\n", " English: Thanks to the fox fairy's rescue.\n", "\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", " English: Later, the cousin told them that the man was the director, had studied abroad, and also wrote scripts. Today's film was his own creation.\n", "\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", " English: The Phoenix sister suddenly remembered something and called out through the window, \"Rong, come back!\"\n", "\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", " English: The three old Red Guards walked up to Ye Wenjie, standing in front of her in a row—just as they had stood against Ye Zhetai—trying to recapture the dignity they had long forgotten. But the demonic spiritual power that had once propelled them was gone.\n", "\n", "5. 程先生照单全收，都是一个“谢”字，然后问王琦瑶有什么\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 小红道：“你那里知道我心里的事！”\n", "--------------------------------------------------\n", "english: 'Why not?' said Crimson. 'How do you know what is on my mind?'\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: You will be given a Chinese sentence to translate. If it is an incomplete sentence, or if you are unsure about the meaning, simply copy the input text as your output. Do not output any additional sentence such as explanation or reasoning.\n", "\n", "Example Translations:\n", "Chinese: 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "Chinese: 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "Chinese: 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "Chinese: 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 这个大平面上布满了大兴安岭这样的山脉，也布满了森林，林间点缀着一个个像齐家屯一样的村庄……\n", "--------------------------------------------------\n", "english: The flat surface was covered with mountain ranges like the Greater Khingan Mountains, and with forests dotted with tiny villages, just like Qijiatun....\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: This vast expanse was dotted with mountain ranges like the Da兴安岭, and forests, with villages like Qi family village scattered among them...\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: “审判日”号正在过去，它在通过死亡之琴。\n", "--------------------------------------------------\n", "english: Judgment Day was below them now, passing through the deadly zither.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: The Chinese sentence \"审判日\"号正在过去，它在通过死亡之琴。 translates to English as:\n", "\n", "\"The 'Judgment Day' is passing by, going through the deathly harp.\"\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝毛骨悚然，道：“我…… 我以为你不爱喝汤。\n", "--------------------------------------------------\n", "english: Trinket could feel his skin crawling. 'But. . . but... I thought you didn't like soup,' he said.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: 韦小宝 shivered, \"I... I thought you didn't like drinking soup.\"\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝道：“两件成不成？”\n", "--------------------------------------------------\n", "english: 'What about two bad things?' said Trinket.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: 韦小宝道：“两件成不成？”\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 那文士提笔蘸上了墨，在纸上写了个“鹿”字，说道：“鹿这种野兽，虽是庞然大物，性子却极为平和，只吃青草和树叶，从来不伤害别的野兽。\n", "--------------------------------------------------\n", "english: The man picked up a writing-brush and moistened it on the ink-slab, then, on a sheet of paper, he wrote the character for a deer. 'The deer is a wild animal, but although it is comparatively large, it has a very peaceable nature. It eats only grass and leaves and never harms other animals.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: The scholar picked up his brush and dipped it in ink, writing the character \"鹿\" on the paper. \"The deer, though a formidable beast, has a very gentle nature. It feeds only on grass and leaves and never harms other beasts.\"\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 我办过一个盗窃案，罪犯能把行驶中的列车中间的一节车厢偷了，前后的其余部分又完好地接起来开到终点站，用的工具只是一根钢丝绳和几只铁钩子。\n", "--------------------------------------------------\n", "english: I once handled a robbery where the criminals managed to steal one car out of a moving train. They reconnected the cars before and after the one they were interested in so that the train got all the way to its destination without anyone noticing. The only tools they used were a length of wire cable and a few steel hooks.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: I have translated the given Chinese sentences into English. Here are the translations:\n", "\n", "1. 全仗着狐仙搭救。\n", " English: Because I was protected by a fox fairy.\n", "\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", " English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", " English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", " English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "\n", "5. 程先生照单全收，都是一个“谢”字，然后问王琦\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 这个活计很累，连偷懒都不可能，因为猪吃不饱会叫唤。\n", "--------------------------------------------------\n", "english: It was really a tiring job, and impossible to slack off. The pigs would squeal if they didn't get enough food.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: This task involves translating a Chinese sentence into English. The instructions specify that if the sentence is incomplete or if there is uncertainty about its meaning, the input text should be copied as the output. Additional sentences such as explanations or reasoning should not be included in the translation.\n", "\n", "Here is the English translation of the given Chinese sentence:\n", "\n", "This task involves translating a Chinese sentence into English. The instructions specify that if the sentence is incomplete or if there is uncertainty about its meaning, the input text should be copied as the output. Additional sentences such as explanations or reasoning should not be included in the translation.\n", "\n", "The Chinese sentence provided is: \"这个活计很累，连偷懒都不可能，因为猪吃不饱会叫唤。\"\n", "\n", "The English translation of this sentence is: \"This job is very tiring, and there's no possibility of slacking off because the pigs will cry if they're hungry.\"\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 而你脸不黑而且白，乳房不下垂而且高耸，所以你是破鞋。\n", "--------------------------------------------------\n", "english: Now your face is not dark but fair, your breasts are not hanging down but jutting out, so you must be damaged goods.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: You are a helpful assistant that translates Chinese to English. If it is an incomplete sentence, or if you are unsure about the meaning, simply copy the input text as your output. Do not output any additional sentence such as explanation or reasoning.\n", "\n", "Example Translations:\n", "Chinese: 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "Chinese: 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "Chinese: 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "Chinese: 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demon\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝道：“我…… 我觉得你近来…… 近来咳得好了些。”\n", "--------------------------------------------------\n", "english: 'Oh, I don't know,' said Trinket, not quite sure where this conversation was heading. 'I thought your cough was getting a bit better lately.'\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: 韦小宝 said, \"I... I've noticed that you've been coughing less lately.\"\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝道：“不降！” 欲待挺腰翻起，蓦地里腰间一阵酸麻，后腰两处穴道已被小玄子屈指抵住，那正是海老公昨晚所教的手法，自己虽然学会了，却给对方抢先用出。\n", "--------------------------------------------------\n", "english: 'No! Never!' protested Trinket, but when he tried to straighten himself up and get to his feet, he felt a sudden numbness in the small of his back. Misty had beaten him to it! He had pressed on exactly the spot Old Hai had been trying to teach him the previous evening.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: 韦小宝 said, \"I won't surrender!\" He was about to straighten up and flip over, but suddenly his waist felt numb and tingling, and the two acupuncture points at the back of his waist were already pressed by Xiaoxingzi's fingers, which was the technique taught by the old eunuch last night. Although he had learned it, the other party had already used it first.\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 《汉书》上说：‘秦失其鹿，天下共逐之。’\n", "--------------------------------------------------\n", "english: In the History of the Han Dynasty it says 'Qin lost the deer and the world went chasing after it'.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: The Chinese sentence you provided is a historical quote from the \"Han Shu\" (《汉书》), an official history of the Western Han Dynasty compiled by the Han Dynasty historian Sima Qian. The quote translates to:\n", "\n", "\"The deer of the Qin Dynasty was lost, and the world chased after it.\"\n", "\n", "This quote is often used metaphorically to describe a situation where a position of power or authority is vacated, and many individuals or groups vie for control or influence.\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 还使暗淡生辉。\n", "--------------------------------------------------\n", "english: It had the power to make what was dark and dismal glimmer with light.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: Chinese: 还使暗淡生辉。\n", "English: It also made the dimness shine.\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 爷爷面色阴沉地说。\n", "--------------------------------------------------\n", "english: Granddad's face clouded.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: The Chinese sentence \"爷爷面色阴沉地说。\" translates to \"The old man said with a somber expression.\"\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 原来这小小之家，姓王，乃本地人氏，祖上也做过一个小小京官，昔年曾与凤姐之祖王夫人之父认识。\n", "--------------------------------------------------\n", "english: Their name was Wang and they were natives of these parts. A grandfather had held some very small official post in the capital and had there become acquainted with Wang Xi-feng's grandfather, the father of Lady Wang.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: This is a Chinese sentence that needs to be translated into English. The sentence is:\n", "\n", "\"原来这小小之家，姓王，乃本地人氏，祖上也做过一个小小京官，昔年曾与凤姐之祖王夫人之父认识。\"\n", "\n", "The English translation of this sentence is:\n", "\n", "\"Originally, this small family, surnamed Wang, was a local family. Their ancestors had also served as a minor official in the imperial court. In the past, they had known the father of Lady Feng's ancestor, Wang Madam.\"\n", "\n", "This translation captures the meaning of the original Chinese sentence, which describes the background and lineage of a local family named Wang, who had a connection to the ancestors of Lady Feng's mother.\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-50: 1\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", "internlm/internlm2_5-7b-chat/shots-50: 韦小宝 was overjoyed. He couldn't wait to fill his bowl and grabbed a piece of braised pork belly to eat. Although the dishes had already cooled, swallowing them into his empty stomach was indescribably delicious. He thought, \"I wonder who brought these meals.\"\n", "\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 轿里牺牲的哽咽和轿后唢呐的伴奏，使他们心中萍翻桨乱，雨打魂幡。\n", "--------------------------------------------------\n", "english: The sacrificial choking sounds from inside the chair and the woodwind accompaniment had made them restless and uneasy, had set their souls adrift.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: The translation of the Chinese sentence \"轿里牺牲的哽咽和轿后唢呐的伴奏，使他们心中萍翻桨乱，雨打魂幡。\" into English is:\n", "\n", "\"The sobs of the sacrifice in the litter and the accompaniment of the suona behind the litter stirred up turmoil in their hearts, like the storm-tossed lotus leaves and the rain beating on the soul banner.\"\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 那僧笑道：“你放心！\n", "--------------------------------------------------\n", "english: 'Don't you worry about him!' replied the monk with a laugh.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: The Chinese sentence you provided is incomplete. It ends with \"你放心！\" which translates to \"You can rest assured!\" in English. However, without the full context of the conversation or the preceding sentences, it's difficult to provide a complete translation. If you can provide the full context or the complete sentence, I would be happy to assist you further.\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 三闷儿爬起来，抢了一把三齿要砍我，别人劝开了。\n", "--------------------------------------------------\n", "english: He got up, grabbed a pitchfork, and tried to stab me, but somebody stopped him.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: The Chinese sentence \"三闷儿爬起来，抢了一把三齿要砍我，别人劝开了。\" translates to English as:\n", "\n", "\"Sanmaner got up, grabbed a three-toothed knife to chop me, but others intervened and stopped him.\"\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 凤姐笑道：“你哄我呢!\n", "--------------------------------------------------\n", "english: 'You must be joking!' said Xi-feng.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: You are trying to translate a Chinese sentence into English. If the sentence is incomplete or if you are unsure about its meaning, simply copy the input text as your output. Do not add any additional sentences such as explanations or reasoning.\n", "\n", "Example Translations:\n", "Chinese: 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "Chinese: 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "Chinese: 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "Chinese: 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: “《三体》游戏的目的很单纯，就是为了聚集起我们这样志同道合的人。” 潘寒说。\n", "--------------------------------------------------\n", "english: 'The goal of Three Body is very simple and pure: to gather those of us who have common ideals,' Pan said.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: \"《三体》 game's purpose is very simple, just to gather people like us who share the same interests,\" Pan Han said.\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 看官：你道此书从何而起?\n", "--------------------------------------------------\n", "english: GENTLE READER, What, you may ask, was the origin of this book?\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: The Chinese sentence \"看官：你道此书从何而起?\" translates to \"Honorable guest: You wonder where this book begins?\" in English.\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 二奶奶的曲线流畅；二奶奶的双乳高耸；二奶奶的崎岖不平的额头上流动着细小的沙流；二奶奶性感的双唇从金沙中凸出来，好象在召唤着一种被华丽的衣裳遮住了的奔放的实事求是精神……\n", "--------------------------------------------------\n", "english: Second Grandma's shapely figure; Second Grandma's high-arching breasts; tiny grains of shifting sand on Second Grandma's furrowed brow; Second Grandma's sensual lips protruding through the golden-yellow sand . . .\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: The provided text seems to be a mix of Chinese excerpts from a novel, likely \"The Dream of the Red Chamber\" (红楼梦) by Cao Xueqin. The text is in Chinese and includes various sentences that depict different scenes and dialogues from the novel. The English translations are provided for each sentence, maintaining the context and meaning of the original Chinese text.\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 周瑞家的认了半日，方笑道：“刘姥姥，你好?\n", "--------------------------------------------------\n", "english: Zhou Rui's wife scrutinized her questioningly for some moments before finally recognizing her. 'Why, it's Grannie Liu! How are you?\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: 周瑞家的认了半日，方笑道：“刘姥姥，你好？”\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 鳖便是甲鱼，捉你这只小甲鱼。”\n", "--------------------------------------------------\n", "english: 'Little turtle!'\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: The Chinese sentence \"鳖便是甲鱼，捉你这只小甲鱼。” translates to \"The turtle is just a turtle, catching you this little turtle.\" in English.\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 海老公道：“偷什么书？”\n", "--------------------------------------------------\n", "english: 'Which book?'\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: The Chinese sentence you provided is incomplete. It ends with \"海老公道：“偷什么书？”\", which translates to \"The old eunuch said, 'What book are you stealing?'\" in English. However, without further context, it's unclear what the full sentence or the complete story is. Therefore, I cannot provide a complete translation or additional information.\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 从路两边高粱地里飘来的幽淡的薄荷气息和成熟高粱苦涩微甘的气味，我父亲早已闻惯，不新不奇。\n", "--------------------------------------------------\n", "english: He was used to the delicate peppermint aroma and the slightly sweet yet pungent odour of ripe sorghum wafting over from the sides of the path – nothing new there.\n", "--------------------------------------------------\n", "internlm/internlm2_5-7b-chat/shots-50: The scent of peppermint from the high粱 fields on either side of the road, and the slightly bitter-sweet smell of ripe high粱, were familiar to my father, neither new nor strange.\n", "--------------------------------------------------\n", "count_chinese_characters-internlm/internlm2_5-7b-chat/shots-50: 1\n", "### Analyzing: microsoft/Phi-3.5-mini-instruct/shots-00\n", "*** Found 0 rows with total_repetitions > 50 for microsoft/Phi-3.5-mini-instruct/shots-00\n", "\n", "*** Found 0 rows with output_tokens >= 300 for microsoft/Phi-3.5-mini-instruct/shots-00\n", "\n", "*** Found 17 rows with incomplete translations for microsoft/Phi-3.5-mini-instruct/shots-00\n", "--------------------------------------------------\n", "chinese: 湘云道：“你敢挑宝姐姐的短处，就算你是个好的。”\n", "--------------------------------------------------\n", "english: 'If you can find any shortcomings in Cousin Bao-chai', said Xiang-yun, 'you must be very good indeed.'\n", "--------------------------------------------------\n", "microsoft/Phi-3.5-mini-instruct/shots-00: 湘云道：“You dare to challenge my shortcomings, even if you are good.”\n", "--------------------------------------------------\n", "count_chinese_characters-microsoft/Phi-3.5-mini-instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 宝玉便说：“打宝姐姐那里来。”\n", "--------------------------------------------------\n", "english: 'Bao-chai's.'\n", "--------------------------------------------------\n", "microsoft/Phi-3.5-mini-instruct/shots-00: \"宝玉 says: 'Come to Auntie Baoyu's place.'\"\n", "--------------------------------------------------\n", "count_chinese_characters-microsoft/Phi-3.5-mini-instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 任副官在他腚上打了一鞭子，他嘴咧开叫一声：孩子他娘！\n", "--------------------------------------------------\n", "english: Adjutant Ren smacked him across the backside with his whip, forcing a yelp from between his parted lips. Ouch, mother of my children!\n", "--------------------------------------------------\n", "microsoft/Phi-3.5-mini-instruct/shots-00: 任副官在他腚上打了一鞭子，他嘴咧开叫一声：孩子他娘！\n", "\n", "(Note: The translation maintains the original Chinese characters and structure, as the sentence is complete and understandable in English.)\n", "--------------------------------------------------\n", "count_chinese_characters-microsoft/Phi-3.5-mini-instruct/shots-00: 1\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", "microsoft/Phi-3.5-mini-instruct/shots-00: \"，大叔，长得好好的，就是耳朵流血啦。\"\n", "--------------------------------------------------\n", "count_chinese_characters-microsoft/Phi-3.5-mini-instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 这些人嘴里尊称自己是香主，满口什么静候香主吩咐云云，其实各人肚里早就有了主意，只盼得到自己赞同，于是一切便推在韦香主头上，日后他们就不会担当重大干系。\n", "--------------------------------------------------\n", "english: It was all 'Master this' and 'Master that' and respectfully waiting to be told by the Master what they should do; but invariably they had already decided what they wanted to do and only wanted the Master's approval for doing it, so that if there was any question about it later, the Master would have sole responsibility for what they had done.\n", "--------------------------------------------------\n", "microsoft/Phi-3.5-mini-instruct/shots-00: These people call themselves \"香主\" and their mouths are full of what they await the \"香主\" to command, in fact, each already has their own ideas in their bellies, just hoping for their own agreement, so everything is pushed onto the \"韦香主\" head, and later they will not take on major responsibilities.\n", "--------------------------------------------------\n", "count_chinese_characters-microsoft/Phi-3.5-mini-instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝不知“羚羊挂角”是什么手法，误打误撞的胜了一招，大为得意，说道：“这‘羚羊挂角’算得什么，我还有许多厉害手法没使出来呢。”\n", "--------------------------------------------------\n", "english: Trinket had never even heard of the Antelope. He'd just been improvising and thrashing around, and somehow or other had managed to outwit his opponent. He was pretty chuffed. 'The Antelope is nothing!' he cried. 'I know plenty more, and they're a lot worse. You haven't seen anything yet!'\n", "--------------------------------------------------\n", "microsoft/Phi-3.5-mini-instruct/shots-00: Wei Xiaobao did not understand what \"羚羊挂角\" means, but won a move by mistake, and said with pride: \"This '羚羊挂角' is what, I still have many powerful techniques that I have not used yet.\"\n", "--------------------------------------------------\n", "count_chinese_characters-microsoft/Phi-3.5-mini-instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: “史强，出去。” 常伟思厉声说。\n", "--------------------------------------------------\n", "english: 'Da Shi, get out of here!' General Chang said.\n", "--------------------------------------------------\n", "microsoft/Phi-3.5-mini-instruct/shots-00: \"史强，出去。\" 常伟思厉声说。\n", "\n", "(Note: The translation is direct, as the given text is a complete sentence. The English translation is: \"史强，出去。\" 常伟思厉声说.)\n", "--------------------------------------------------\n", "count_chinese_characters-microsoft/Phi-3.5-mini-instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝道：“两件成不成？”\n", "--------------------------------------------------\n", "english: 'What about two bad things?' said Trinket.\n", "--------------------------------------------------\n", "microsoft/Phi-3.5-mini-instruct/shots-00: Two items undecided: \"两件成不成？\"\n", "--------------------------------------------------\n", "count_chinese_characters-microsoft/Phi-3.5-mini-instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 可此时她只是一个豁出去，反倒是很镇定，竟能注意到周围，听见有邻近棚里传出来的“开麦拉”的叫声。\n", "--------------------------------------------------\n", "english: But having decided to let everything ride, she was actually quite calm and composed. She was aware of everything going on around her, down to the shouts of 'Camera' coming from the adjacent set.\n", "--------------------------------------------------\n", "microsoft/Phi-3.5-mini-instruct/shots-00: She was just stepping out at that time, surprisingly calm, and even noticed the sound of \"开麦拉\" coming from the nearby shed.\n", "--------------------------------------------------\n", "count_chinese_characters-microsoft/Phi-3.5-mini-instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: ——说来虽近荒唐，细玩颇有趣味。\n", "--------------------------------------------------\n", "english: Though the answer to this question may at first seem to border on the absurd, reflection will show that there is a good deal more in it than meets the eye.\n", "--------------------------------------------------\n", "microsoft/Phi-3.5-mini-instruct/shots-00: —说来虽近荒唐，细玩颇有趣味。\n", "\n", "(Note: The translation is kept as is, since the sentence is complete and there is no need for further explanation or reasoning.)\n", "--------------------------------------------------\n", "count_chinese_characters-microsoft/Phi-3.5-mini-instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 7. 开麦拉\n", "--------------------------------------------------\n", "english: Camera\n", "--------------------------------------------------\n", "microsoft/Phi-3.5-mini-instruct/shots-00: 7. 开麦拉\n", "--------------------------------------------------\n", "count_chinese_characters-microsoft/Phi-3.5-mini-instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 至脂砚斋抄阅再评，仍用《石头记》。\n", "--------------------------------------------------\n", "english: Red Inkstone restored the original title when he recopied the book and added his second set of annotations to it.\n", "--------------------------------------------------\n", "microsoft/Phi-3.5-mini-instruct/shots-00: To copy the input text: 至脂砚斋抄阅再评，仍用《石头记》.\n", "--------------------------------------------------\n", "count_chinese_characters-microsoft/Phi-3.5-mini-instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 我整天一声不吭。 陈清扬也一声不吭。\n", "--------------------------------------------------\n", "english: I stayed mute all day long, and so did Chen Qingyang.\n", "--------------------------------------------------\n", "microsoft/Phi-3.5-mini-instruct/shots-00: I have been silent all day. 陳清扬 has also been silent all day.\n", "--------------------------------------------------\n", "count_chinese_characters-microsoft/Phi-3.5-mini-instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 阮雯端坐在写字台前的那把转椅上，安详地闭着双眼。\n", "--------------------------------------------------\n", "english: Ruan was sitting on the chair before her desk, her eyes closed.\n", "--------------------------------------------------\n", "microsoft/Phi-3.5-mini-instruct/shots-00: 阮雯端坐在写字台前的那把转椅上，安详地闭着双眼。\n", "\n", "(Note: The provided Chinese sentence is complete and has been directly translated into English without any additional explanation or reasoning.)\n", "--------------------------------------------------\n", "count_chinese_characters-microsoft/Phi-3.5-mini-instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: “很好。” 潘寒点点头，汪淼注意到他眼中放出兴奋的光来。\n", "--------------------------------------------------\n", "english: 'Very good,' Pan said. Wang noticed his eyes sparkling with excitement.\n", "--------------------------------------------------\n", "microsoft/Phi-3.5-mini-instruct/shots-00: Very good. 潘寒点点头, Wen noticed the excitement in his eyes.\n", "--------------------------------------------------\n", "count_chinese_characters-microsoft/Phi-3.5-mini-instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: “《三体》游戏的目的很单纯，就是为了聚集起我们这样志同道合的人。” 潘寒说。\n", "--------------------------------------------------\n", "english: 'The goal of Three Body is very simple and pure: to gather those of us who have common ideals,' Pan said.\n", "--------------------------------------------------\n", "microsoft/Phi-3.5-mini-instruct/shots-00: \"《三体》游戏的目的很单纯，就是为了聚集起我们这样志同道合的人。\" 潘寒说。\n", "--------------------------------------------------\n", "count_chinese_characters-microsoft/Phi-3.5-mini-instruct/shots-00: 1\n", "--------------------------------------------------\n", "chinese: “我站在他们一边。” 汪淼指指记者和哲学家等人说。\n", "--------------------------------------------------\n", "english: 'I stand with them,' Wang said, pointing to the reporter and the philosopher.\n", "--------------------------------------------------\n", "microsoft/Phi-3.5-mini-instruct/shots-00: I stood on their side. 汪淼 pointed to the reporter and philosopher among others.\n", "--------------------------------------------------\n", "count_chinese_characters-microsoft/Phi-3.5-mini-instruct/shots-00: 1\n", "### Analyzing: microsoft/Phi-3.5-mini-instruct/shots-01\n", "*** Found 1 rows with total_repetitions > 50 for microsoft/Phi-3.5-mini-instruct/shots-01\n", "王文义忍着咳嗽说，“嗓子眼儿发痒……”\n", "================================================================================\n", "Wang Wenyi stifled a cough. 'My throat itches. . . .'\n", "================================================================================\n", "King Wenying coughed through, \"My throat and eyes itch...\"\n", "\n", "\n", "Note: The translation provided is based on the given Chinese text. The meaning is inferred from the context, but without further context, some nuances might be lost.\n", "\n", "\n", "Example Translations:\n", "Chinese: 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "\n", "Chinese: 王文义忍着咳嗽说，“嗓子眼儿发痒……”\n", "English: King Wenying coughed through, \"My throat and eyes itch...\"\n", "\n", "\n", "Note: The translation provided is based on the given Chinese text. The meaning is inferred from the context, but without further context, some nuances might be lost.\n", "\n", "\n", "Example Translations:\n", "Chinese: 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "\n", "Chinese: 王文义忍着咳嗽说，“嗓子眼儿发痒……”\n", "English: King Wenying coughed through\n", "================================================================================\n", "----detect excessive whitespaces----\n", "----detect text repetitions----\n", " 50 for microsoft/Phi-3.5-mini-instruct/shots-03\n", "\n", "*** Found 0 rows with output_tokens >= 300 for microsoft/Phi-3.5-mini-instruct/shots-03\n", "\n", "*** Found 4 rows with incomplete translations for microsoft/Phi-3.5-mini-instruct/shots-03\n", "--------------------------------------------------\n", "chinese: “说你的方案，否则就不要再发言了！” 常伟思指着大史说。\n", "--------------------------------------------------\n", "english: 'Tell us your plan, then,' General Chang said. 'Otherwise, shut up!'\n", "--------------------------------------------------\n", "microsoft/Phi-3.5-mini-instruct/shots-03: \"Tell your plan, otherwise you won't be allowed to speak anymore!\" 常伟思 pointed at the large history.\n", "--------------------------------------------------\n", "count_chinese_characters-microsoft/Phi-3.5-mini-instruct/shots-03: 1\n", "--------------------------------------------------\n", "chinese: ——说来虽近荒唐，细玩颇有趣味。\n", "--------------------------------------------------\n", "english: Though the answer to this question may at first seem to border on the absurd, reflection will show that there is a good deal more in it than meets the eye.\n", "--------------------------------------------------\n", "microsoft/Phi-3.5-mini-instruct/shots-03: —说来虽近荒唐，细玩颇有趣味。\n", "English: Though near the absurd, playing it finely is quite interesting.\n", "--------------------------------------------------\n", "count_chinese_characters-microsoft/Phi-3.5-mini-instruct/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 我整天一声不吭。 陈清扬也一声不吭。\n", "--------------------------------------------------\n", "english: I stayed mute all day long, and so did Chen Qingyang.\n", "--------------------------------------------------\n", "microsoft/Phi-3.5-mini-instruct/shots-03: I remained silent all day. 陈清扬 also remained silent all day.\n", "--------------------------------------------------\n", "count_chinese_characters-microsoft/Phi-3.5-mini-instruct/shots-03: 1\n", "--------------------------------------------------\n", "chinese: “《三体》游戏的目的很单纯，就是为了聚集起我们这样志同道合的人。” 潘寒说。\n", "--------------------------------------------------\n", "english: 'The goal of Three Body is very simple and pure: to gather those of us who have common ideals,' Pan said.\n", "--------------------------------------------------\n", "microsoft/Phi-3.5-mini-instruct/shots-03: \"The purpose of the 'Three Body' game is very simple, just to gather people who share our ideals.\" 潘寒 said.\n", "--------------------------------------------------\n", "count_chinese_characters-microsoft/Phi-3.5-mini-instruct/shots-03: 1\n", "### Analyzing: microsoft/Phi-3.5-mini-instruct/shots-05\n", "*** Found 1 rows with total_repetitions > 50 for microsoft/Phi-3.5-mini-instruct/shots-05\n", "短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n", "================================================================================\n", "short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n", "================================================================================\n", "Short short long long short short short long short long short short long short long short long short long short long short long long short short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long\n", "================================================================================\n", "----detect excessive whitespaces----\n", "----detect text repetitions----\n", "\n", "Group 1 found at 11-16: ` long`\n", "Group 2 found at 16-22: ` long `\n", "Group 3 found at 16-21: ` long`\n", "\n", "Group 1 found at 22-28: `short `\n", "Group 2 found at 34-40: `short `\n", "Group 3 found at 34-40: `short `\n", "\n", "Group 1 found at 40-51: `long short `\n", "Group 2 found at 51-62: `long short `\n", "Group 3 found at 51-62: `long short `\n", "\n", "Group 1 found at 128-640: `long short short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short `\n", "Group 2 found at 640-1152: `long short short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short `\n", "Group 3 found at 640-1152: `long short short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short `\n", " 50 for microsoft/Phi-3.5-mini-instruct/shots-10\n", "\n", "*** Found 0 rows with output_tokens >= 300 for microsoft/Phi-3.5-mini-instruct/shots-10\n", "\n", "*** Found 7 rows with incomplete translations for microsoft/Phi-3.5-mini-instruct/shots-10\n", "--------------------------------------------------\n", "chinese: 韦小宝不知“羚羊挂角”是什么手法，误打误撞的胜了一招，大为得意，说道：“这‘羚羊挂角’算得什么，我还有许多厉害手法没使出来呢。”\n", "--------------------------------------------------\n", "english: Trinket had never even heard of the Antelope. He'd just been improvising and thrashing around, and somehow or other had managed to outwit his opponent. He was pretty chuffed. 'The Antelope is nothing!' he cried. 'I know plenty more, and they're a lot worse. You haven't seen anything yet!'\n", "--------------------------------------------------\n", "microsoft/Phi-3.5-mini-instruct/shots-10: Weibo didn't understand what \"羚羊挂角\" was a technique, but managed to win a move, feeling proud, saying: \"This '羚羊挂角' doesn't matter, I still have many powerful techniques unused.\"\n", "--------------------------------------------------\n", "count_chinese_characters-microsoft/Phi-3.5-mini-instruct/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 叶哲泰的个子很高，这四个十四岁的女孩儿只能朝上抡皮带才能打到他那不肯低下的头。\n", "--------------------------------------------------\n", "english: Ye was tall, and the four fourteen-year-olds had to swing their belts upward to reach his head, still held high.\n", "--------------------------------------------------\n", "microsoft/Phi-3.5-mini-instruct/shots-10: Eight-year-old girls could only fumble at the belt above to reach the head of the man who wouldn't lower himself.\n", "Chinese: 叶哲泰的个子很高，这四个十四岁的女孩儿只能朝上抡皮带才能打到他那不肯低下的头。\n", "English:\n", "--------------------------------------------------\n", "count_chinese_characters-microsoft/Phi-3.5-mini-instruct/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 他的意识中一片空白，只有倒计时在那暗红的背景辐射上显现着，跳动着，他自己仿佛变成了一个单纯的计时器，一口不知道为谁而呜的丧钟。\n", "--------------------------------------------------\n", "english: His mind was empty of thoughts: Only the countdown pulsed against the dim red background of cosmic radiation. He seemed to have turned into nothing but a simple timer, a bell that tolled for he knew not whom.\n", "--------------------------------------------------\n", "microsoft/Phi-3.5-mini-instruct/shots-10: His awareness was blank, with only the countdown visible on the dark background, pulsing, making him feel like a simple clock, unaware of whom it was marking time for.\n", "\n", "Chinese: 他的意识中一片空白，只有倒计时在那暗红的背景辐射上显现着，跳动着，他自己仿佛变成了一个单纯的计时器，一口不知道为谁而呜的丧钟。\n", "English: His awareness was blank, with only the countdown visible on the dark background, pulsing, making him feel like a simple clock, unaware of whom it was marking time for.\n", "--------------------------------------------------\n", "count_chinese_characters-microsoft/Phi-3.5-mini-instruct/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 大楼顶上出现了一个娇小的身影，那个美丽的女孩子挥动着一面“四·二八”的大旗，她的出现立刻招来了一阵杂乱的枪声，射击的武器五花八门，有陈旧的美式卡宾枪、捷克式机枪和三八大盖，也有崭新的制式步枪和冲锋枪——后者是在“八月社论”发表之后从军队中偷抢来的——连同那些梭标和大刀等冷兵器，构成了一部浓缩的近现代史……\n", "--------------------------------------------------\n", "english: The slender figure of a beautiful young girl emerged at the top of the building, waving the giant red banner of the April Twenty-eighth Brigade. Her appearance was greeted immediately by a cacophony of gunshots. The weapons attacking her were a diverse mix: antiques such as American carbines, Czech-style machine guns, Japanese Type-38 rifles; newer weapons such as standard-issue People's Liberation Army rifles and submachine guns, stolen from the PLA after the publication of the 'August Editorial'; and even a few Chinese dadao swords and spears. Together, they formed a condensed version of modern history.\n", "--------------------------------------------------\n", "microsoft/Phi-3.5-mini-instruct/shots-10: A petite figure appeared on the roof, a beautiful girl waving a \"四·二八\" flag, and immediately gunfire erupted from various weapons, including old American M1 carbines, Czech machine guns, and three-eights, as well as new standard rifles and assault rifles—the latter being stolen from the military after the \"August Socialist\" publication—along with bayonets and swords, forming a condensed history of modern times...\n", "--------------------------------------------------\n", "count_chinese_characters-microsoft/Phi-3.5-mini-instruct/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 我整天一声不吭。 陈清扬也一声不吭。\n", "--------------------------------------------------\n", "english: I stayed mute all day long, and so did Chen Qingyang.\n", "--------------------------------------------------\n", "microsoft/Phi-3.5-mini-instruct/shots-10: I remained silent all day. 陈清扬 also remained silent.\n", "--------------------------------------------------\n", "count_chinese_characters-microsoft/Phi-3.5-mini-instruct/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 黛玉坐在床上，一面抬手整理鬓发，一面笑向宝玉道：“人家睡觉，你进来做什么？”\n", "--------------------------------------------------\n", "english: 'What do you mean by coming into people's rooms when they're asleep?' said Dai-yu, smiling up at Bao-yu as she sat on the bed's edge patting her hair into shape.\n", "--------------------------------------------------\n", "microsoft/Phi-3.5-mini-instruct/shots-10: Daiyu sat on the bed, arranging her bangs with one hand, and smiling at宝玉, saying, \"Why are you disturbing them who are sleeping? You come here to do what?\"\n", "--------------------------------------------------\n", "count_chinese_characters-microsoft/Phi-3.5-mini-instruct/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 只见她微笑着招手，韦小宝大喜，轻轻闪身过门。 蕊初又将门掩上了，在他耳畔低声道：“我怕你进不来，已在这里等了许久。”\n", "--------------------------------------------------\n", "english: She smiled at him and beckoned to him to come in. He complied happily, and when he had slipped inside, she fastened the gate after him. 'I thought I'd better wait here in case you had trouble getting in,' she said softly in his ear. 'I've been waiting ever such a long time.'\n", "--------------------------------------------------\n", "microsoft/Phi-3.5-mini-instruct/shots-10: She smiled and extended her hand, making Wei Xiaobao very happy. She lightly disappeared through the door. 蕊 then closed the door behind her, whispering in his ear, \"I'm afraid you won't be able to come, I've been waiting here for a long time.\"\n", "--------------------------------------------------\n", "count_chinese_characters-microsoft/Phi-3.5-mini-instruct/shots-10: 1\n", "### Analyzing: microsoft/Phi-3.5-mini-instruct/shots-50\n", "*** Found 0 rows with total_repetitions > 50 for microsoft/Phi-3.5-mini-instruct/shots-50\n", "\n", "*** Found 0 rows with output_tokens >= 300 for microsoft/Phi-3.5-mini-instruct/shots-50\n", "\n", "*** Found 19 rows with incomplete translations for microsoft/Phi-3.5-mini-instruct/shots-50\n", "--------------------------------------------------\n", "chinese: 任副官在他腚上打了一鞭子，他嘴咧开叫一声：孩子他娘！\n", "--------------------------------------------------\n", "english: Adjutant Ren smacked him across the backside with his whip, forcing a yelp from between his parted lips. Ouch, mother of my children!\n", "--------------------------------------------------\n", "microsoft/Phi-3.5-mini-instruct/shots-50: 任副官 hit the drum and shouted: 'Child, your mother!'\n", "--------------------------------------------------\n", "count_chinese_characters-microsoft/Phi-3.5-mini-instruct/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 黄宗羲道：“是啊。\n", "--------------------------------------------------\n", "english: 'Quite,' said Huang.\n", "--------------------------------------------------\n", "microsoft/Phi-3.5-mini-instruct/shots-50: 黄宗羲道：“是的。\n", "--------------------------------------------------\n", "count_chinese_characters-microsoft/Phi-3.5-mini-instruct/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝伸出了舌头，半天缩不进去，随即喜欢得心痒难搔，笑道：“我一定不做坏事。\n", "--------------------------------------------------\n", "english: Trinket stuck his tongue out in amazement and it was some time before he could put it back in again. Yet his overriding feeling was not of amazement but of happiness that he had got this heroic strong man for his teacher. 'I promise you I won't ever do anything bad,' he said.\n", "--------------------------------------------------\n", "microsoft/Phi-3.5-mini-instruct/shots-50: 韦小宝 stretched out his tongue, couldn't fit it back in, and started to enjoy the itching sensation, laughing: \"I will certainly not do bad things.\"\n", "--------------------------------------------------\n", "count_chinese_characters-microsoft/Phi-3.5-mini-instruct/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝应道：“是！” 心中却说：“我做半件坏事，却又如何？”\n", "--------------------------------------------------\n", "english: 'No, sir,' said Trinket; but a rebellious little voice inside him was saying, 'What about half a bad thing?'\n", "--------------------------------------------------\n", "microsoft/Phi-3.5-mini-instruct/shots-50: 韦小宝 agree: 'Yes!' But internally, he thought: 'I'm doing something bad, but how?'\n", "--------------------------------------------------\n", "count_chinese_characters-microsoft/Phi-3.5-mini-instruct/shots-50: 1\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", "microsoft/Phi-3.5-mini-instruct/shots-50: 宝钗 saw Jia Huan anxious, glanced at the bird, and remarked: \"The bigger, the less disciplined!\"\n", "--------------------------------------------------\n", "count_chinese_characters-microsoft/Phi-3.5-mini-instruct/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 豆官，你的枪呢？”\n", "--------------------------------------------------\n", "english: Douguan, where's your gun?'\n", "--------------------------------------------------\n", "microsoft/Phi-3.5-mini-instruct/shots-50: 豆官，你的枪怎么样？\n", "--------------------------------------------------\n", "count_chinese_characters-microsoft/Phi-3.5-mini-instruct/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝想问他什么叫神堂穴、环跳穴，如何点穴、解穴，但转念一想，自己是青木堂香主，又是总舵主的弟子，连点穴、解穴也不会，岂不是让下属们太也瞧不起？ 反正对付一个小姑娘总不是什么难事，点头道：“知道了。”\n", "--------------------------------------------------\n", "english: Trinket wanted to ask him where the Holy Hall and Ring Jump vital points were and how you closed and opened them; but then he remembered that, as Master of the Green Wood Lodge and a disciple of the great Helmsman, he was probably expected to know about these things and felt sure his subordinates would despise him if they found out that he was totally ignorant of these matters; so he just nodded and said that he would. 'Anyway, ' he thought, 'I shouldn't have any difficulty in handling her. She's only a girl.'\n", "--------------------------------------------------\n", "microsoft/Phi-3.5-mini-instruct/shots-50: Weighing the options, Da Wei thought about what the terms '神堂穴' and '环跳穴' meant, how to perform '点穴' and '解穴', but realized as a disciple of both the Green Hall Master and the Helmsman, he wouldn't be expected to know, not even for handling a young woman. \"I understand,\" he said.\n", "--------------------------------------------------\n", "count_chinese_characters-microsoft/Phi-3.5-mini-instruct/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 蕊初道：“花园里有大海龟吗？\n", "--------------------------------------------------\n", "english: 'I didn't know there were any in the Palace,' said Blossom.\n", "--------------------------------------------------\n", "microsoft/Phi-3.5-mini-instruct/shots-50: 蕊初道：“Is there a giant tortoise in the garden?\"\n", "--------------------------------------------------\n", "count_chinese_characters-microsoft/Phi-3.5-mini-instruct/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 那文士提笔蘸上了墨，在纸上写了个“鹿”字，说道：“鹿这种野兽，虽是庞然大物，性子却极为平和，只吃青草和树叶，从来不伤害别的野兽。\n", "--------------------------------------------------\n", "english: The man picked up a writing-brush and moistened it on the ink-slab, then, on a sheet of paper, he wrote the character for a deer. 'The deer is a wild animal, but although it is comparatively large, it has a very peaceable nature. It eats only grass and leaves and never harms other animals.\n", "--------------------------------------------------\n", "microsoft/Phi-3.5-mini-instruct/shots-50: That scholar wrote the letter \"鹿\" with ink on the paper, saying: \"The deer, though a large beast, is very peaceful, only eating grass and leaves, and never harming other wild animals.\"\n", "--------------------------------------------------\n", "count_chinese_characters-microsoft/Phi-3.5-mini-instruct/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 7. 开麦拉\n", "--------------------------------------------------\n", "english: Camera\n", "--------------------------------------------------\n", "microsoft/Phi-3.5-mini-instruct/shots-50: 开麦拉\n", "--------------------------------------------------\n", "count_chinese_characters-microsoft/Phi-3.5-mini-instruct/shots-50: 1\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", "microsoft/Phi-3.5-mini-instruct/shots-50: 韦小宝 quietly muttered: \"It turns out being a eunuch involves shaving off pubic hair.\"\n", "--------------------------------------------------\n", "count_chinese_characters-microsoft/Phi-3.5-mini-instruct/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 刘姥姥道：“我也知道。\n", "--------------------------------------------------\n", "english: 'I knew all about that,' said Grannie Liu.\n", "--------------------------------------------------\n", "microsoft/Phi-3.5-mini-instruct/shots-50: 刘姥姥说：“我也知道。\"\n", "--------------------------------------------------\n", "count_chinese_characters-microsoft/Phi-3.5-mini-instruct/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 大楼顶上出现了一个娇小的身影，那个美丽的女孩子挥动着一面“四·二八”的大旗，她的出现立刻招来了一阵杂乱的枪声，射击的武器五花八门，有陈旧的美式卡宾枪、捷克式机枪和三八大盖，也有崭新的制式步枪和冲锋枪——后者是在“八月社论”发表之后从军队中偷抢来的——连同那些梭标和大刀等冷兵器，构成了一部浓缩的近现代史……\n", "--------------------------------------------------\n", "english: The slender figure of a beautiful young girl emerged at the top of the building, waving the giant red banner of the April Twenty-eighth Brigade. Her appearance was greeted immediately by a cacophony of gunshots. The weapons attacking her were a diverse mix: antiques such as American carbines, Czech-style machine guns, Japanese Type-38 rifles; newer weapons such as standard-issue People's Liberation Army rifles and submachine guns, stolen from the PLA after the publication of the 'August Editorial'; and even a few Chinese dadao swords and spears. Together, they formed a condensed version of modern history.\n", "--------------------------------------------------\n", "microsoft/Phi-3.5-mini-instruct/shots-50: A beautiful young girl appeared on the roof of the building, waving the \"四·二八\" flag, instantly causing a cacophony of gunfire and a variety of weapons, including outdated M1 carbines, Czech machine guns, new model 38 pistols, and shotguns stolen from the \"August Socialist\" publication, along with bayonets and swords—a condensed history of modern times.\n", "--------------------------------------------------\n", "count_chinese_characters-microsoft/Phi-3.5-mini-instruct/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 阮雯端坐在写字台前的那把转椅上，安详地闭着双眼。\n", "--------------------------------------------------\n", "english: Ruan was sitting on the chair before her desk, her eyes closed.\n", "--------------------------------------------------\n", "microsoft/Phi-3.5-mini-instruct/shots-50: 阮雯端坐在写字台前的那把转椅上，安详地闭着双眼。\n", "--------------------------------------------------\n", "count_chinese_characters-microsoft/Phi-3.5-mini-instruct/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 蕊初低声道：“我…… 我……”\n", "--------------------------------------------------\n", "english: 'I. . . I. . .' Blossom began.\n", "--------------------------------------------------\n", "microsoft/Phi-3.5-mini-instruct/shots-50: 蕊初低声道：“我……”\n", "--------------------------------------------------\n", "count_chinese_characters-microsoft/Phi-3.5-mini-instruct/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝接过匕首，说道：“好！”\n", "--------------------------------------------------\n", "english: 'Right, ' said Trinket.\n", "--------------------------------------------------\n", "microsoft/Phi-3.5-mini-instruct/shots-50: 韦小宝拿起匕首，说出了'好！'\n", "--------------------------------------------------\n", "count_chinese_characters-microsoft/Phi-3.5-mini-instruct/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 汪淼点点头，“用我们现有的分子建筑技术，只能生产出丝状的材料，粗细大约相当于头发丝的十分之一……\n", "--------------------------------------------------\n", "english: Wang nodded. 'Given our current molecular construction technique, the only form we can make is a filament. The thickness is about one-hundredth the thickness of human hair....\n", "--------------------------------------------------\n", "microsoft/Phi-3.5-mini-instruct/shots-50: 汪淼点点头，“我们目前的分子建筑技术仅能生产出头发丝的十分之一精细的材料……”\n", "--------------------------------------------------\n", "count_chinese_characters-microsoft/Phi-3.5-mini-instruct/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 汪淼站起身来，但上校拉住了他，“教授，你不用管，他们会干得很好。”\n", "--------------------------------------------------\n", "english: Wang stood up, but the colonel pulled him down. 'Professor, don't worry. They know what to do.'\n", "--------------------------------------------------\n", "microsoft/Phi-3.5-mini-instruct/shots-50: 汪淼站起来，但上校拉住了他，“教授，你不用管，他们会干得很好。”\n", "--------------------------------------------------\n", "count_chinese_characters-microsoft/Phi-3.5-mini-instruct/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 佳蕙点头，想了一会道：“可也怨不得你。\n", "--------------------------------------------------\n", "english: Melilot shook her head sympathetically. 'I can't say I really blame you,' she said.\n", "--------------------------------------------------\n", "microsoft/Phi-3.5-mini-instruct/shots-50: 嘉蕙点头，想了一会：“不能不忍你。\"\n", "--------------------------------------------------\n", "count_chinese_characters-microsoft/Phi-3.5-mini-instruct/shots-50: 1\n", "### Analyzing: shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00\n", "*** Found 0 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00\n", "\n", "*** Found 0 rows with output_tokens >= 300 for shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00\n", "\n", "*** Found 55 rows with incomplete translations for shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00\n", "--------------------------------------------------\n", "chinese: 次日天未明时，刘姥姥便起来梳洗了， 又将板儿教了几句话； 五六岁的孩子，听见带了他进城逛去，喜欢的无不应承。\n", "--------------------------------------------------\n", "english: Next day Grannie Liu was up before dawn. As soon as she had washed and done her hair, she set about teaching Ban-er a few words to say to the ladies at the great house – an exercise to which he submitted cheerfully enough, as would any little boy of four or five who had been promised an outing to the great city.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: The next day, before dawn, Liu姥姥 got up to wash and dress, and also taught Board a few words; a five or six-year-old child, hearing that he would be taken into the city to play, happily agreed.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 只是朝代年纪，失落无考。\n", "--------------------------------------------------\n", "english: All it lacked was the authentication of a dynasty and date.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 只是朝代年纪，失落无考。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 一面说，一面就站起来了。 刘姥姥只是千恩万谢的，拿了银钱，跟着周瑞家的走到外边。\n", "--------------------------------------------------\n", "english: She rose to her feet, and Grannie Liu, with heartfelt expressions of gratitude, picked up the money and followed Zhou Rui's wife out of the room.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: While talking, she immediately stood up. Liu姥姥 was only thanking her profusely, took the silver money, and followed Zhou Ruijia to the outside.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 不知到了何处。”\n", "--------------------------------------------------\n", "english: I don't know where he can have gone.'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 不知到了何处。”\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 要好的只好等袭人来。”\n", "--------------------------------------------------\n", "english: If nothing but the best will do, you'd better wait for Aroma to come.'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 要好的只好等袭人来。”\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 海老公道：“只有个老娘。\n", "--------------------------------------------------\n", "english: 'Only a mother,' said the old eunuch.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 海老公道：“只有个老娘。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 海老公道：“不过怎么？”\n", "--------------------------------------------------\n", "english: 'You what?' snapped the eunuch.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 海老公道：“不过怎么？”\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 鸡巴，感觉非常之好的啦！\n", "--------------------------------------------------\n", "english: Fuck, I felt terrific.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 鸡巴，感觉非常之好的啦！\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: “咚——咚——”\n", "--------------------------------------------------\n", "english: 'Too-tah – too-tah –'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: \"咚——咚——\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 香色礼帽怒气冲冲地喊。\n", "--------------------------------------------------\n", "english: Chestnut Wool Cap barked out angrily.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 香色礼帽怒气冲冲地喊。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 太君问你话呢！\n", "--------------------------------------------------\n", "english: The commander asked you a question!\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 太君问你话呢！\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 惯养娇生笑你痴，菱花空对雪澌澌。\n", "--------------------------------------------------\n", "english: 'Fond man, your pampered child to cherish so— That caltrop-glass which shines on melting snow!\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 惯养娇生笑你痴，菱花空对雪澌澌。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 海老公道：“哼，掀住肩头有什么用？\n", "--------------------------------------------------\n", "english: 'That's no good!\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 海老公道：“哼，掀住肩头有什么用？\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 回来赶围棋儿，又该你闹‘么爱三’了。”\n", "--------------------------------------------------\n", "english: Presently, when you're playing Racing Go, you'll be all 'thicktheth' and 'theventh' !'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 回来赶围棋儿，又该你闹‘么爱三’了。”\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: “有…… 没有…… 有…… 没有……\n", "--------------------------------------------------\n", "english: 'Yes . . . no . . . yes . . . no . . .\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 有…… 没有…… 有…… 没有……\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 勒都！\n", "--------------------------------------------------\n", "english: Le Du!\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 勒都！\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\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/shots-00: 海老公道：“这小娃娃叫什么名字？\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 那刘姥姥先听见告艰苦，只当是没想头了， 又听见给他二十两银子，喜的眉开眼笑道：“我们也知道艰难的，但只俗语说的：‘瘦死的骆驼比马还大’呢。\n", "--------------------------------------------------\n", "english: When Grannie Liu heard Xi-feng talk about 'difficulties' she concluded that there was no hope. Her delight and the way in which her face lit up with pleasure when she heard that she was, after all, to be given twenty taels of silver can be imagined. 'We knew you had your troubles,' she said, 'but as the saying goes, 'A starved camel is bigger than a fat horse.'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: Liu姥姥first heard about the difficulties, thinking it was unimaginable, but then heard about giving him twenty taels of silver, and happily said, \"We also know it's difficult, but as the proverb says, 'A skinny camel is still bigger than a horse.'\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 石头听了大喜，因问：“不知可镌何字?\n", "--------------------------------------------------\n", "english: The stone was delighted. 'What words will you cut?\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 石头听了大喜，因问：“不知可镌何字?\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 你…… 你可摔痛了没有？”\n", "--------------------------------------------------\n", "english: Did you hurt yourself?'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 你…… 你可摔痛了没有？”\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 周瑞家的道：“我的娘!\n", "--------------------------------------------------\n", "english: 'My dear good woman,' said the latter when they were out of earshot, 'whatever came over you?\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 周瑞家的道：“我的娘!\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 大节下，老太太刚喜欢了一日。\n", "--------------------------------------------------\n", "english: This is the New Year holiday and Her Old Ladyship has been enjoying herself all day.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 大节下，老太太刚喜欢了一日。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n", "--------------------------------------------------\n", "english: short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 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", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 只是许多时不走动，知道他如今是怎样?\n", "--------------------------------------------------\n", "english: 'But it's a long time since you had anything to do with him and hard to say how he may prove after all these years.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 只是许多时不走动，知道他如今是怎样?\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 贾瑞道：“果真么？”\n", "--------------------------------------------------\n", "english: 'Do you really mean this?' said Jia Rui.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 贾瑞道：“果真么？”\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 不过…… 不过……”\n", "--------------------------------------------------\n", "english: 'But. . . but—'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 不过…… 不过……”\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 等着奶奶下来，我细细儿的回明了，想来奶奶也不至嗔着我莽撞的。”\n", "--------------------------------------------------\n", "english: I thought I would wait for the young mistress to come back and explain it all to her. I hope she won't be angry with me for pushing myself forward.'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 等着奶奶下来，我细细儿的回明了，想来奶奶也不至嗔着我莽撞的。”\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 我那里那么大工夫管这些事?\n", "--------------------------------------------------\n", "english: I told her, I've got better things to do with my time than go looking for people's handkerchiefs.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 我那里那么大工夫管这些事?\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 除了锅碗盆瓢，还有足够两人吃一个月的东西。\n", "--------------------------------------------------\n", "english: In addition to a wok, bowls, a basin, and ladle, there was enough food for two of us to eat for an entire month.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 除了锅碗盆瓢，还有足够两人吃一个月的东西。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: “知道的不多。\n", "--------------------------------------------------\n", "english: 'I don't know much.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 知道的不多。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 能不能十个打他们一个？”\n", "--------------------------------------------------\n", "english: Enough to fight them ten to one?'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 能不能十个打他们一个？”\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 你那里肯往我这里来？”\n", "--------------------------------------------------\n", "english: 'What would you want to come here for?'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 你那里肯往我这里来？”\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 海老公脸一沉，说道：“借给老吴这小子有什么用？\n", "--------------------------------------------------\n", "english: Old Hai scowled at him. 'What do you want to go lending money to that Wu fellow for?\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 海老公脸一沉，说道：“借给老吴这小子有什么用？\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 青天哟——蓝天哟——花花绿绿的天哟——棒槌哟亲哥哟你死了——可就塌了妹妹的天哟——\n", "--------------------------------------------------\n", "english: A blue sky yo – a sapphire sky yo – a painted sky yo – a mighty cudgel yo – dear elder brother yo – death has claimed you – you have brought down little sister's sky yo –.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 青天哟——蓝天哟——花花绿绿的天哟——棒槌哟亲哥哟你死了——可就塌了妹妹的天哟——\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 7. 开麦拉\n", "--------------------------------------------------\n", "english: Camera\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 开麦拉\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 我问她，碰上了人家怎么说？\n", "--------------------------------------------------\n", "english: I asked, What would the attendant say if he came in right in the middle of things?\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 我问她，碰上了人家怎么说？\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 舍我罢！”\n", "--------------------------------------------------\n", "english: Give her to me!'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 舍我罢！”\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 还使暗淡生辉。\n", "--------------------------------------------------\n", "english: It had the power to make what was dark and dismal glimmer with light.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 还使暗淡生辉。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 鸡巴！\n", "--------------------------------------------------\n", "english: You pricks!\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 鸡巴！\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 不看僧面看佛面，不看鱼面看水面，不看我的面子也要看豆官的面子上，留下吧，你要我…… 我也给你…… 你就像我的爹一样……”\n", "--------------------------------------------------\n", "english: 'If not for the sake of the monk, stay for the Buddha. If not for the sake of the fish, stay for the water. If not for my sake, stay for little Douguan. You can have me, if you want. . . . You're like my own father. . . .'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 不看僧面看佛面，不看鱼面看水面，不看我的面子也要看豆官的面子上，留下吧，你要我…… 我也给你…… 你就像我的爹一样……\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 我是个什么东西儿!\n", "--------------------------------------------------\n", "english: What sort of creature do you take me for?\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 我是个什么东西儿!\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 蕊初低声道：“我…… 我……”\n", "--------------------------------------------------\n", "english: 'I. . . I. . .' Blossom began.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 蕊初低声道：“我…… 我……”\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 小红道：“也犯不着气他们。\n", "--------------------------------------------------\n", "english: 'I don't see much point in getting angry,' said Crimson.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 小红道：“也犯不着气他们。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\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/shots-00: 海老公摇头道：“好什么？\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 我倒再照照正面是什么？”\n", "--------------------------------------------------\n", "english: But let me see what happens when I look into the other side!'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 我倒再照照正面是什么？”\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 胡思乱想，一夜也不曾合眼。\n", "--------------------------------------------------\n", "english: Torn by these violent and conflicting emotions, he passed the whole night without a single wink of sleep.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 胡思乱想，一夜也不曾合眼。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 二奶奶的曲线流畅；二奶奶的双乳高耸；二奶奶的崎岖不平的额头上流动着细小的沙流；二奶奶性感的双唇从金沙中凸出来，好象在召唤着一种被华丽的衣裳遮住了的奔放的实事求是精神……\n", "--------------------------------------------------\n", "english: Second Grandma's shapely figure; Second Grandma's high-arching breasts; tiny grains of shifting sand on Second Grandma's furrowed brow; Second Grandma's sensual lips protruding through the golden-yellow sand . . .\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 二奶奶的曲线流畅；二奶奶的双乳高耸；二奶奶的崎岖不平的额头上流动着细小的沙流；二奶奶性感的双唇从金沙中凸出来，好象在召唤着一种被华丽的衣裳遮住了的奔放的实事求是精神……\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: “叶哲泰！”\n", "--------------------------------------------------\n", "english: 'Ye Zhetai!'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 叶哲泰！\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 这刘姥姥方安顿了，便说道：“我今日带了你侄儿，不为别的，因他爹娘连吃的没有，天气又冷，只得带了你侄儿奔了你老来。”\n", "--------------------------------------------------\n", "english: Having all this while had time to collect herself, Grannie Liu began her speech again: 'The real reason I have brought your little nephew here today is because his Pa and Ma haven't anything in the house to eat, and the weather is getting colder, and – and – I thought I'd bring him here to see you...'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: After settling down, Liu姥姥 said, \"I brought your nephew today, not for anything else. His parents have nothing to eat, and the weather is cold, so I had to bring your nephew to you.\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 周瑞家的认了半日，方笑道：“刘姥姥，你好?\n", "--------------------------------------------------\n", "english: Zhou Rui's wife scrutinized her questioningly for some moments before finally recognizing her. 'Why, it's Grannie Liu! How are you?\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 周瑞家的认了半日，方笑道：“刘姥姥，你好?\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 余司令问。\n", "--------------------------------------------------\n", "english: Commander Yu asked him.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 余司令问。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: “高考？”\n", "--------------------------------------------------\n", "english: 'The exam?'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: “高考？”\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: “不吱声？\n", "--------------------------------------------------\n", "english: 'No answer?\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: \"不吱声？\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 怎么敦？ 正着敦反着敦？\n", "--------------------------------------------------\n", "english: How do you want to strengthen it, from the front or from the back?\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 怎么敦？ 正着敦反着敦？\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 其盘费余事，弟自代为处置，亦不枉兄之谬识矣。”\n", "--------------------------------------------------\n", "english: I shall take care of all your expenses. It is the least return I can make for your friendship.'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 其盘费余事，弟自代为处置，亦不枉兄之谬识矣。”\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-00: 1\n", "### Analyzing: shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01\n", "*** Found 0 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01\n", "\n", "*** Found 0 rows with output_tokens >= 300 for shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01\n", "\n", "*** Found 22 rows with incomplete translations for shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01\n", "--------------------------------------------------\n", "chinese: 次日天未明时，刘姥姥便起来梳洗了， 又将板儿教了几句话； 五六岁的孩子，听见带了他进城逛去，喜欢的无不应承。\n", "--------------------------------------------------\n", "english: Next day Grannie Liu was up before dawn. As soon as she had washed and done her hair, she set about teaching Ban-er a few words to say to the ladies at the great house – an exercise to which he submitted cheerfully enough, as would any little boy of four or five who had been promised an outing to the great city.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01: The next day, before dawn, Liu姥姥 got up to wash and dress, and also taught Board a few words; a five or six year old child, hearing that he was taken to the city to play, promised to behave.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 不知到了何处。”\n", "--------------------------------------------------\n", "english: I don't know where he can have gone.'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01: 不知到了何处。”\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 黄宗羲道：“是啊。\n", "--------------------------------------------------\n", "english: 'Quite,' said Huang.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01: 黄宗羲道：“是啊。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 鸡巴，感觉非常之好的啦！\n", "--------------------------------------------------\n", "english: Fuck, I felt terrific.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01: 鸡巴，感觉非常之好的啦！\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 刘姥姥感谢不尽，仍从后门去了。\n", "--------------------------------------------------\n", "english: And so, with many expressions of gratitude, the old lady took her leave and set out once more through the back gate of the mansion.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01: Liu姥姥 felt extremely grateful and left through the back door.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01: 1\n", "--------------------------------------------------\n", "chinese: “有…… 没有…… 有…… 没有……\n", "--------------------------------------------------\n", "english: 'Yes . . . no . . . yes . . . no . . .\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01: “有…… 没有…… 有…… 没有……\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 黄宗羲道：“我二人来此，乃是为了二瞻先生的那位本家伊璜先生。\n", "--------------------------------------------------\n", "english: 'It has to do with Erzhan's kinsman Yihuang, ' said Huang.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01: 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", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 勒都！\n", "--------------------------------------------------\n", "english: Le Du!\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01: 勒都！\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 那刘姥姥先听见告艰苦，只当是没想头了， 又听见给他二十两银子，喜的眉开眼笑道：“我们也知道艰难的，但只俗语说的：‘瘦死的骆驼比马还大’呢。\n", "--------------------------------------------------\n", "english: When Grannie Liu heard Xi-feng talk about 'difficulties' she concluded that there was no hope. Her delight and the way in which her face lit up with pleasure when she heard that she was, after all, to be given twenty taels of silver can be imagined. 'We knew you had your troubles,' she said, 'but as the saying goes, 'A starved camel is bigger than a fat horse.'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01: Liu姥姥 first heard about the difficulties, thinking it was unimaginable, but then heard about giving him twenty taels of silver, and happily said, \"We also know it's difficult, but as the proverb says, 'A skinny camel is still bigger than a horse.'\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 严师母心里狐疑，嘴上却不好说，只闲扯着要重新聚一聚，可惜萨沙不在了，去西伯利亚吃苏联面包了，不过，补上那位新来的先生，也够一桌麻将了。\n", "--------------------------------------------------\n", "english: Madame Yan grew suspicious, but was forced to keep her thoughts to herself; instead she casually suggested that they all get together again. 'It's a pity that Sasha's no longer around. He must be off in Siberia eating his Russian bread! But that's okay, you can bring along that new friend of yours and we'll have a foursome for our mahjong games.'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01: Sure, I'd be happy to help! Here's the translation of the given Chinese sentence:\n", "\n", "Chinese: 严师母心里狐疑，嘴上却不好说，只闲扯着要重新聚一聚，可惜萨沙不在了，去西伯利亚吃苏联面包了，不过，补上那位新来的先生，也够一桌麻将了。\n", "\n", "English: Mrs. Yan was suspicious in her heart, but she couldn't say anything, so she just chatted about getting together again. Unfortunately, Sasha was no longer there, having gone to Siberia to eat Soviet bread. However, with the addition of the new Mr., they could still make a table of mahjong.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n", "--------------------------------------------------\n", "english: short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 只是许多时不走动，知道他如今是怎样?\n", "--------------------------------------------------\n", "english: 'But it's a long time since you had anything to do with him and hard to say how he may prove after all these years.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01: 只是许多时不走动，知道他如今是怎样?\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 不过…… 不过……”\n", "--------------------------------------------------\n", "english: 'But. . . but—'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01: 不过…… 不过……”\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01: 1\n", "--------------------------------------------------\n", "chinese: “知道的不多。\n", "--------------------------------------------------\n", "english: 'I don't know much.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01: “知道的不多。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 刘姥姥一面走，一面笑说道：“你老是‘贵人多忘事’了，那里还记得我们？”\n", "--------------------------------------------------\n", "english: Grannie Liu followed her cackling. 'You know what they say: 'Important people have short memories.' I wouldn't expect you to remember the likes of us!'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01: Liu姥姥 walked while laughing and said, \"You are always 'forgetful of noble people', how could you still remember us?\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 舍我罢！”\n", "--------------------------------------------------\n", "english: Give her to me!'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01: 舍我罢！”\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 还使暗淡生辉。\n", "--------------------------------------------------\n", "english: It had the power to make what was dark and dismal glimmer with light.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01: 还使暗淡生辉。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 鸡巴！\n", "--------------------------------------------------\n", "english: You pricks!\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01: 鸡巴！\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 至脂砚斋抄阅再评，仍用《石头记》。\n", "--------------------------------------------------\n", "english: Red Inkstone restored the original title when he recopied the book and added his second set of annotations to it.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01: Copy the input text as the output: 至脂砚斋抄阅再评，仍用《石头记》。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 蕊初低声道：“我…… 我……”\n", "--------------------------------------------------\n", "english: 'I. . . I. . .' Blossom began.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01: 蕊初低声道：“我…… 我……”\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 小红道：“也犯不着气他们。\n", "--------------------------------------------------\n", "english: 'I don't see much point in getting angry,' said Crimson.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01: 小红道：“也犯不着气他们。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 怎么敦？ 正着敦反着敦？\n", "--------------------------------------------------\n", "english: How do you want to strengthen it, from the front or from the back?\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01: How to敦? Right side up敦or upside down敦?\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-01: 1\n", "### Analyzing: shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-03\n", "*** Found 0 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-03\n", "\n", "*** Found 0 rows with output_tokens >= 300 for shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-03\n", "\n", "*** Found 19 rows with incomplete translations for shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-03\n", "--------------------------------------------------\n", "chinese: 不知到了何处。”\n", "--------------------------------------------------\n", "english: I don't know where he can have gone.'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-03: 不知到了何处。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 刘姥姥心中想着：“这是什么东西? 有煞用处呢？”\n", "--------------------------------------------------\n", "english: 'I wonder what that can be,' she thought to herself, 'and what it can be used for?'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-03: Liu姥姥 thought to herself, \"What is this thing? Is it useful?\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 鸡巴，感觉非常之好的啦！\n", "--------------------------------------------------\n", "english: Fuck, I felt terrific.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-03: 鸡巴，感觉非常之好的啦！\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: “咚——咚——”\n", "--------------------------------------------------\n", "english: 'Too-tah – too-tah –'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-03: \"咚——咚——\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 香色礼帽怒气冲冲地喊。\n", "--------------------------------------------------\n", "english: Chestnut Wool Cap barked out angrily.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-03: 香色礼帽怒气冲冲地喊。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: “有…… 没有…… 有…… 没有……\n", "--------------------------------------------------\n", "english: 'Yes . . . no . . . yes . . . no . . .\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-03: “有…… 没有…… 有…… 没有……\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 勒都！\n", "--------------------------------------------------\n", "english: Le Du!\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-03: 勒都！\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 茅大哥不知能不能逃出皇宫去？\n", "--------------------------------------------------\n", "english: 'I wonder if Whiskers got out safe?\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-03: I'm not sure about the meaning of this sentence. \n", "茅大哥不知能不能逃出皇宫去？\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 周瑞家的道：“我的娘!\n", "--------------------------------------------------\n", "english: 'My dear good woman,' said the latter when they were out of earshot, 'whatever came over you?\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-03: 周瑞家的道：“我的娘!\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 不过…… 不过……”\n", "--------------------------------------------------\n", "english: 'But. . . but—'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-03: 不过…… 不过……”\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 除了锅碗盆瓢，还有足够两人吃一个月的东西。\n", "--------------------------------------------------\n", "english: In addition to a wok, bowls, a basin, and ladle, there was enough food for two of us to eat for an entire month.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-03: 除了锅碗盆瓢，还有足够两人吃一个月的东西。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: “知道的不多。\n", "--------------------------------------------------\n", "english: 'I don't know much.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-03: “知道的不多。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 舍我罢！”\n", "--------------------------------------------------\n", "english: Give her to me!'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-03: 舍我罢！\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 还使暗淡生辉。\n", "--------------------------------------------------\n", "english: It had the power to make what was dark and dismal glimmer with light.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-03: 还使暗淡生辉。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 鸡巴！\n", "--------------------------------------------------\n", "english: You pricks!\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-03: 鸡巴！\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 刘姥姥道：“我也知道。\n", "--------------------------------------------------\n", "english: 'I knew all about that,' said Grannie Liu.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-03: Liu姥姥said, \"I also know.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 原来这小小之家，姓王，乃本地人氏，祖上也做过一个小小京官，昔年曾与凤姐之祖王夫人之父认识。\n", "--------------------------------------------------\n", "english: Their name was Wang and they were natives of these parts. A grandfather had held some very small official post in the capital and had there become acquainted with Wang Xi-feng's grandfather, the father of Lady Wang.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-03: The original Chinese sentence is: 原来这小小之家，姓王，乃本地人氏，祖上也做过一个小小京官，昔年曾与凤姐之祖王夫人之父认识。\n", "\n", "English translation: It turned out that this humble family was surnamed Wang, a local clan, and their ancestors had once held a minor official position in the capital. In the past, they had been acquainted with the father of Madame Wang, Phoenix's paternal grandmother.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 余司令问。\n", "--------------------------------------------------\n", "english: Commander Yu asked him.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-03: 余司令问。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 怎么敦？ 正着敦反着敦？\n", "--------------------------------------------------\n", "english: How do you want to strengthen it, from the front or from the back?\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-03: How to敦? Right side up敦or upside down敦?\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-03: 1\n", "### Analyzing: shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05\n", "*** Found 0 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05\n", "\n", "*** Found 0 rows with output_tokens >= 300 for shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05\n", "\n", "*** Found 22 rows with incomplete translations for shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05\n", "--------------------------------------------------\n", "chinese: 老子要宰了你！\n", "--------------------------------------------------\n", "english: I'll goddamn kill you!\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05: I'm not sure about the meaning of this sentence. \n", "老子要宰了你！\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 不知到了何处。”\n", "--------------------------------------------------\n", "english: I don't know where he can have gone.'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05: 不知到了何处。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 鸡巴，感觉非常之好的啦！\n", "--------------------------------------------------\n", "english: Fuck, I felt terrific.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05: 鸡巴，感觉非常之好的啦！\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: “咚——咚——”\n", "--------------------------------------------------\n", "english: 'Too-tah – too-tah –'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05: \"咚——咚——\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 香色礼帽怒气冲冲地喊。\n", "--------------------------------------------------\n", "english: Chestnut Wool Cap barked out angrily.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05: 香色礼帽怒气冲冲地喊。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 惯养娇生笑你痴，菱花空对雪澌澌。\n", "--------------------------------------------------\n", "english: 'Fond man, your pampered child to cherish so— That caltrop-glass which shines on melting snow!\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05: 惯养娇生笑你痴，菱花空对雪澌澌。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: “有…… 没有…… 有…… 没有……\n", "--------------------------------------------------\n", "english: 'Yes . . . no . . . yes . . . no . . .\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05: “有…… 没有…… 有…… 没有……\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 勒都！\n", "--------------------------------------------------\n", "english: Le Du!\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05: 勒都！\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 畜牲，老畜牲！\n", "--------------------------------------------------\n", "english: You bastard, you old bastard!\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05: 畜牲，老畜牲！\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 茅大哥不知能不能逃出皇宫去？\n", "--------------------------------------------------\n", "english: 'I wonder if Whiskers got out safe?\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05: I'm not sure about the meaning of this sentence. Here is the input text as my output: 茅大哥不知能不能逃出皇宫去？\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 周瑞家的道：“我的娘!\n", "--------------------------------------------------\n", "english: 'My dear good woman,' said the latter when they were out of earshot, 'whatever came over you?\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05: 周瑞家的道：“我的娘!\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n", "--------------------------------------------------\n", "english: short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 不过…… 不过……”\n", "--------------------------------------------------\n", "english: 'But. . . but—'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05: 不过…… 不过……\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: “知道的不多。\n", "--------------------------------------------------\n", "english: 'I don't know much.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05: \"知道的不多。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 舍我罢！”\n", "--------------------------------------------------\n", "english: Give her to me!'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05: 舍我罢！\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 莺儿便说：“明明是个么！”\n", "--------------------------------------------------\n", "english: 'It was an ace,' said Oriole, 'as plain as anything!'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05: 莺儿便说：“明明是个么！”\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 闷来时敛额，行去几回眸。\n", "--------------------------------------------------\n", "english: Yet, as my brow contracted with new care, Was there not one who, parting, turned to stare?\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05: 闷来时敛额，行去几回眸。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 还使暗淡生辉。\n", "--------------------------------------------------\n", "english: It had the power to make what was dark and dismal glimmer with light.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05: 还使暗淡生辉。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 鸡巴！\n", "--------------------------------------------------\n", "english: You pricks!\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05: 鸡巴！\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 蕊初低声道：“我…… 我……”\n", "--------------------------------------------------\n", "english: 'I. . . I. . .' Blossom began.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05: 蕊初低声道：“我…… 我……”\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 余司令问。\n", "--------------------------------------------------\n", "english: Commander Yu asked him.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05: 余司令问。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 怎么敦？ 正着敦反着敦？\n", "--------------------------------------------------\n", "english: How do you want to strengthen it, from the front or from the back?\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05: 怎么敦？ 正着敦反着敦？\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-05: 1\n", "### Analyzing: shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-10\n", "*** Found 0 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-10\n", "\n", "*** Found 0 rows with output_tokens >= 300 for shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-10\n", "\n", "*** Found 21 rows with incomplete translations for shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-10\n", "--------------------------------------------------\n", "chinese: 不知到了何处。”\n", "--------------------------------------------------\n", "english: I don't know where he can have gone.'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-10: 不知到了何处。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 鸡巴，感觉非常之好的啦！\n", "--------------------------------------------------\n", "english: Fuck, I felt terrific.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-10: 鸡巴，感觉非常之好的啦！\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 香色礼帽怒气冲冲地喊。\n", "--------------------------------------------------\n", "english: Chestnut Wool Cap barked out angrily.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-10: 香色礼帽怒气冲冲地喊。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: “有…… 没有…… 有…… 没有……\n", "--------------------------------------------------\n", "english: 'Yes . . . no . . . yes . . . no . . .\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-10: “有…… 没有…… 有…… 没有……\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 勒都！\n", "--------------------------------------------------\n", "english: Le Du!\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-10: 勒都！\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 畜牲，老畜牲！\n", "--------------------------------------------------\n", "english: You bastard, you old bastard!\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-10: 畜牲，老畜牲！\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 茅大哥不知能不能逃出皇宫去？\n", "--------------------------------------------------\n", "english: 'I wonder if Whiskers got out safe?\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-10: I'm not sure about the meaning of this sentence. \n", "\n", "Chinese: 茅大哥不知能不能逃出皇宫去？\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 周瑞家的道：“我的娘!\n", "--------------------------------------------------\n", "english: 'My dear good woman,' said the latter when they were out of earshot, 'whatever came over you?\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-10: 周瑞家的道：“我的娘!\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 不过…… 不过……”\n", "--------------------------------------------------\n", "english: 'But. . . but—'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-10: 不过…… 不过……\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: “知道的不多。\n", "--------------------------------------------------\n", "english: 'I don't know much.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-10: \"知道的不多。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 1．弄堂\n", "--------------------------------------------------\n", "english: Longtang\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-10: 1．弄堂\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 未知去后如何，且听下回分解。\n", "--------------------------------------------------\n", "english: And if you want to know what happened after she had left, you will have to read the next chapter.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-10: 未知去后如何，且听下回分解。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 7. 开麦拉\n", "--------------------------------------------------\n", "english: Camera\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-10: 开麦拉\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-10: 1\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/shots-10: 老子就吃过。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 舍我罢！”\n", "--------------------------------------------------\n", "english: Give her to me!'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-10: 舍我罢！\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 闷来时敛额，行去几回眸。\n", "--------------------------------------------------\n", "english: Yet, as my brow contracted with new care, Was there not one who, parting, turned to stare?\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-10: 闷来时敛额，行去几回眸。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 还使暗淡生辉。\n", "--------------------------------------------------\n", "english: It had the power to make what was dark and dismal glimmer with light.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-10: 还使暗淡生辉。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 鸡巴！\n", "--------------------------------------------------\n", "english: You pricks!\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-10: 鸡巴！\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 蕊初低声道：“我…… 我……”\n", "--------------------------------------------------\n", "english: 'I. . . I. . .' Blossom began.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-10: 蕊初低声道：“我…… 我……”\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 余司令问。\n", "--------------------------------------------------\n", "english: Commander Yu asked him.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-10: 余司令问。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 其盘费余事，弟自代为处置，亦不枉兄之谬识矣。”\n", "--------------------------------------------------\n", "english: I shall take care of all your expenses. It is the least return I can make for your friendship.'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-10: 其盘费余事，弟自代为处置，亦不枉兄之谬识矣。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-10: 1\n", "### Analyzing: shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-50\n", "*** Found 0 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-50\n", "\n", "*** Found 0 rows with output_tokens >= 300 for shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-50\n", "\n", "*** Found 8 rows with incomplete translations for shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-50\n", "--------------------------------------------------\n", "chinese: 韦小宝应道：“是！” 心中却说：“我做半件坏事，却又如何？”\n", "--------------------------------------------------\n", "english: 'No, sir,' said Trinket; but a rebellious little voice inside him was saying, 'What about half a bad thing?'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-50: Chinese: 韦小宝应道：“是！” 心中却说：“我做半件坏事，却又如何？”\n", "English: Wei Xiaobao replied, \"Yes!\" But in his heart, he thought, \"What if I were to do something a little bad?\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 勒都！\n", "--------------------------------------------------\n", "english: Le Du!\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-50: 勒都！\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 周瑞家的道：“我的娘!\n", "--------------------------------------------------\n", "english: 'My dear good woman,' said the latter when they were out of earshot, 'whatever came over you?\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here's the translation of the Chinese sentence you provided:\n", "\n", "\"周瑞家的道：“我的娘!\"\n", "\n", "Translation: \"Zhou Ruijia said, 'My mother!'\"\n", "\n", "Please let me know if you have any other sentences you'd like me to translate.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 因问周瑞家的道：“这老老不知用了早饭没有呢？”\n", "--------------------------------------------------\n", "english: She turned to Zhou Rui's wife. 'I wonder if Grannie has eaten yet today?'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-50: Chinese: 因问周瑞家的道：“这老老不知用了早饭没有呢？”\n", "English: \"Has the old lady had breakfast yet?\" asked Yiren, turning to Zhou Ruijia.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 还使暗淡生辉。\n", "--------------------------------------------------\n", "english: It had the power to make what was dark and dismal glimmer with light.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-50: 还使暗淡生辉。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 鸡巴！\n", "--------------------------------------------------\n", "english: You pricks!\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-50: 鸡巴！\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 至脂砚斋抄阅再评，仍用《石头记》。\n", "--------------------------------------------------\n", "english: Red Inkstone restored the original title when he recopied the book and added his second set of annotations to it.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-50: After reviewing and evaluating at the脂砚斋, the \"_Stone_\" is still used.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 不看僧面看佛面，不看鱼面看水面，不看我的面子也要看豆官的面子上，留下吧，你要我…… 我也给你…… 你就像我的爹一样……”\n", "--------------------------------------------------\n", "english: 'If not for the sake of the monk, stay for the Buddha. If not for the sake of the fish, stay for the water. If not for my sake, stay for little Douguan. You can have me, if you want. . . . You're like my own father. . . .'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here's the translation of the Chinese text you provided:\n", "\n", "\"不看僧面看佛面，不看鱼面看水面，不看我的面子也要看豆官的面子上，留下吧，你要我…… 我也给你…… 你就像我的爹一样……\"\n", "\n", "Translation:\n", "\n", "\"Don't look at my face, look at the Buddha's face; don't look at the fish's face, look at the water's face; don't look at my face, look at the bean official's face. Stay here, you want me to... I'll give you... You're just like my father...\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-70B-Chinese-Chat/shots-50: 1\n", "### Analyzing: shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-00\n", "*** Found 3 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-00\n", "“有…… 没有…… 有…… 没有……\n", "================================================================================\n", "'Yes . . . no . . . yes . . . no . . .\n", "================================================================================\n", "There are…… There are not…… There are…… There are not……\n", "================================================================================\n", "----detect excessive whitespaces----\n", "----detect text repetitions----\n", "\n", "Group 1 found at 0-756: `The Chinese sentence you provided is a complete sentence, and it can be translated to English as follows:\n", "\n", "\"The Chinese sentence you provided is a complete sentence, and it can be translated to English as follows:\n", "\n", "\"The Chinese sentence you provided is a complete sentence, and it can be translated to English as follows:\n", "\n", "\"The Chinese sentence you provided is a complete sentence, and it can be translated to English as follows:\n", "\n", "\"The Chinese sentence you provided is a complete sentence, and it can be translated to English as follows:\n", "\n", "\"The Chinese sentence you provided is a complete sentence, and it can be translated to English as follows:\n", "\n", "\"The Chinese sentence you provided is a complete sentence, and it can be translated to English as follows:\n", "\n", "\"`\n", "Group 2 found at 756-1512: `The Chinese sentence you provided is a complete sentence, and it can be translated to English as follows:\n", "\n", "\"The Chinese sentence you provided is a complete sentence, and it can be translated to English as follows:\n", "\n", "\"The Chinese sentence you provided is a complete sentence, and it can be translated to English as follows:\n", "\n", "\"The Chinese sentence you provided is a complete sentence, and it can be translated to English as follows:\n", "\n", "\"The Chinese sentence you provided is a complete sentence, and it can be translated to English as follows:\n", "\n", "\"The Chinese sentence you provided is a complete sentence, and it can be translated to English as follows:\n", "\n", "\"The Chinese sentence you provided is a complete sentence, and it can be translated to English as follows:\n", "\n", "\"`\n", "Group 3 found at 756-1512: `The Chinese sentence you provided is a complete sentence, and it can be translated to English as follows:\n", "\n", "\"The Chinese sentence you provided is a complete sentence, and it can be translated to English as follows:\n", "\n", "\"The Chinese sentence you provided is a complete sentence, and it can be translated to English as follows:\n", "\n", "\"The Chinese sentence you provided is a complete sentence, and it can be translated to English as follows:\n", "\n", "\"The Chinese sentence you provided is a complete sentence, and it can be translated to English as follows:\n", "\n", "\"The Chinese sentence you provided is a complete sentence, and it can be translated to English as follows:\n", "\n", "\"The Chinese sentence you provided is a complete sentence, and it can be translated to English as follows:\n", "\n", "\"`\n", "(0, 1512, 1512)\n", "此方人家俱用竹篱木壁，也是劫数应当如此，于是接二连三牵五挂四，将一条街烧得如火焰山一般；彼时虽有军民来救，那火已成了势了，如何救得下? 直烧了一夜方息，也不知烧了多少人家。\n", "================================================================================\n", "And, since the houses in this area all had wooden walls and bamboo fences—though also, doubtless, because they were doomed to destruction anyway-the fire leaped from house to house until the whole street was blazing away like a regular Fiery Mountain; and though the firemen came to put it out, by the time they arrived the fire was well under way and long past controlling, and roared away all night long until it had burnt itself out, rendering heaven knows how many families homeless in the process.\n", "================================================================================\n", "This sentence is incomplete and does not make sense in English. The correct translation is:\n", "\n", "\"This is the way of the people, and it is the will of the gods. Therefore, I will not resist. I will not fight. I will not flee. I will not hide. I will not seek refuge. I will not ask for mercy. I will not beg for forgiveness. I will not plead for pardon. I will not seek redemption. I will not seek salvation. I will not seek deliverance. I will not seek escape. I will not seek escape. I will not seek escape. I will not seek escape. I will not seek escape. I will not seek escape. I will not seek escape. I will not seek escape. I will not seek escape. I will not seek escape. I will not seek escape. I will not seek escape. I will not seek escape. I will not seek escape. I will not seek escape. I will not seek escape. I will not seek escape. I will not seek escape. I will not seek escape. I will not seek escape. I will not seek escape. I will not seek escape. I will not seek escape. I will not seek escape. I will not seek escape. I will not seek escape. I will not seek escape. I will not seek escape. I will not seek escape. I will not seek escape. I will not seek escape. I will not seek escape. I will not seek escape.\n", "================================================================================\n", "----detect excessive whitespaces----\n", "----detect text repetitions----\n", " 50 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-01\n", "\n", "*** Found 0 rows with output_tokens >= 300 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-01\n", "\n", "*** Found 12 rows with incomplete translations for shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-01\n", "--------------------------------------------------\n", "chinese: 韦小宝听他接连提到皇上，心念一动：“难道这里是皇宫？\n", "--------------------------------------------------\n", "english: 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", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-01: Sure, I'd be happy to help! Here's the translation of the Chinese sentence you provided:\n", "\n", "Chinese: 韦小宝听他接连提到皇上，心念一动：“难道这里是皇宫？\n", "\n", "English: Wei Xiaobao listened as he repeatedly mentioned the emperor, and his mind suddenly flashed with the thought: \"Could this place be the imperial palace?\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝应了，走进房中，只见桌上放着碗筷，四菜一汤，没人动过，忙道：“公公，你不吃饭？\n", "--------------------------------------------------\n", "english: 'Yes, Goong-goong!' Trinket walked across to the dining-table, where bowls and chopsticks had been laid, four dishes and a soup, all untouched. 'Goong-goong, aren't you eating?\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-01: Sure, I'd be happy to help! Here's the translation of the Chinese sentence you provided:\n", "\n", "Chinese: 韦小宝应了，走进房中，只见桌上放着碗筷，四菜一汤，没人动过，忙道：“公公，你不吃饭？\n", "\n", "English: Ve Xiao Bao nodded and walked into the room, only to see a table set with bowls and chopsticks, four dishes and one soup, untouched. He hurriedly said, \"Grandpa, don't you want to eat?\"\n", "\n", "Please note that I've translated the sentence as accurately as possible, but it's important to keep in mind that the meaning of the sentence may vary depending on the context in which it is used.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 空空道人听如此说，思忖半晌，将这《石头记》再检阅一遍。\n", "--------------------------------------------------\n", "english: For a long time Vanitas stood lost in thought, pondering this speech. He then subjected the Story of the stone to a careful second reading.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-01: 空空道人听如此说，思忖半晌，将这《石头记》再检阅一遍。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 这是深入肌肤，已经谈不上是亲是近，反有些起腻，暗底里生畏的，却是有一股噬骨的感动。\n", "--------------------------------------------------\n", "english: This is a feeling that, having penetrated the flesh, goes beyond closeness. One begins to weary of it. It breeds a secret fear, but hidden within that fear is an excitement that gnaws down to the bone.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-01: This is a translation of the given Chinese sentence:\n", "\n", "这是深入肌肤，已经谈不上是亲是近，反有些起腻，暗底里生畏的，却是有一股噬骨的感动。\n", "\n", "English: This is a feeling that penetrates to the skin, beyond the point of whether it's familiar or close, there's a certain discomfort, a hidden fear, yet it's a bone-chilling sensation.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 明明听得韦小宝是落在一株芍药花旁，这小鬼手中的宝剑或许已震得远远飞出，可是他的尸体怎会突然不见？\n", "--------------------------------------------------\n", "english: According to his calculation, Trinket must have fallen into the bed of peonies. He could understand that the weapon might have flown from his hand and be lying at quite some distance away, but where was the body?\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-01: 明明听得韦小宝是落在一株芍药花旁，这小鬼手中的宝剑或许已震得远远飞出，可是他的尸体怎会突然不见？\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 14.分娩\n", "--------------------------------------------------\n", "english: Childbirth\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-01: 14.分娩\n", "English: 14. Delivery\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 至脂砚斋抄阅再评，仍用《石头记》。\n", "--------------------------------------------------\n", "english: Red Inkstone restored the original title when he recopied the book and added his second set of annotations to it.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-01: After copying the script to the脂砚斋 for review again, still use \"The Water Margin\".\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 阮雯端坐在写字台前的那把转椅上，安详地闭着双眼。\n", "--------------------------------------------------\n", "english: Ruan was sitting on the chair before her desk, her eyes closed.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-01: 阮雯端坐在写字台前的那把转椅上，安详地闭着双眼。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 蕊初低声道：“我…… 我……”\n", "--------------------------------------------------\n", "english: 'I. . . I. . .' Blossom began.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-01: 蕊初低声道：“我…… 我……”\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 他迷迷糊糊的睡了一会，悄悄起身，把那盒蜜饯糕饼揣在怀里，生怕惊醒海老公，慢慢一步步的蹑足而出，走到门边，轻轻拔开了门闩，再轻轻打开了一扇门，突然听得海老公问道：“小桂子，你去哪里？”\n", "--------------------------------------------------\n", "english: After sleeping fitfully for what must have been several hours, he got up silently, stuffed the box of cakes inside his breast pocket,and made his way on tiptoe across the room, pausing at each step for fear the old eunuch might waken. Then, slowly and gently, he slid back the door-bar and opened one of the leaves of the door. At that very moment he heard the old eunuch's voice calling out from behind him. 'Laurie, where are you going?'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-01: He dozed off a bit, quietly getting up and putting that box of honey cakes in his bosom, afraid of waking up Grandpa Sea, slowly and stealthily stepping out, reaching the door, lightly pulling open the latch, and then lightly opening a door when he suddenly heard Grandpa Sea ask, \"Little桂子, where are you going?\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-01: 1\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/Llama3.1-8B-Chinese-Chat/shots-01: Because I was protected by a fox fairy.\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", "English: Ve Xiao Bao was overjoyed, he didn't have time to pack his food, he picked up a piece of braised pork and ate it, although the dishes were already cold, he swallowed them down with hunger, and thought to himself: \"These dishes must have been sent by someone.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 这一句倒是真话，他妈妈胡里胡涂，小宝到底几岁，向来说不大准。\n", "--------------------------------------------------\n", "english: This was true. His mother had always been vague when asked about his age.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-01: This sentence is actually true, his mother is messy, how old is Xiao宝, he is always not very accurate.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-01: 1\n", "### Analyzing: shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-03\n", "*** Found 0 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-03\n", "\n", "*** Found 0 rows with output_tokens >= 300 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-03\n", "\n", "*** Found 17 rows with incomplete translations for shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-03\n", "--------------------------------------------------\n", "chinese: 韦小宝听他接连提到皇上，心念一动：“难道这里是皇宫？\n", "--------------------------------------------------\n", "english: 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", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-03: Sure, I'd be happy to help! Here's the translation of the Chinese sentence you provided:\n", "\n", "Chinese: 韦小宝听他接连提到皇上，心念一动：“难道这里是皇宫？\n", "\n", "English: Vegeta heard him mention the emperor several times and thought to himself, \"Could this place be the imperial palace?\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝伸出了舌头，半天缩不进去，随即喜欢得心痒难搔，笑道：“我一定不做坏事。\n", "--------------------------------------------------\n", "english: Trinket stuck his tongue out in amazement and it was some time before he could put it back in again. Yet his overriding feeling was not of amazement but of happiness that he had got this heroic strong man for his teacher. 'I promise you I won't ever do anything bad,' he said.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-03: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "Chinese: 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "\n", "Chinese: 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "\n", "Chinese: 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "\n", "Chinese: 韦小宝伸出了舌头，半天缩不进去，随即喜欢得心痒难搔，笑道：“我一定不做坏事。\n", "English: Ve Xiao Bao stretched out his tongue, but it wouldn't go back in. He was so pleased that he couldn't help but laugh and say, \"I'll definitely not do anything bad.\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝应了，走进房中，只见桌上放着碗筷，四菜一汤，没人动过，忙道：“公公，你不吃饭？\n", "--------------------------------------------------\n", "english: 'Yes, Goong-goong!' Trinket walked across to the dining-table, where bowls and chopsticks had been laid, four dishes and a soup, all untouched. 'Goong-goong, aren't you eating?\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-03: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "\n", "I hope these translations are helpful! Let me know if you have any other questions or if there's anything else I can assist you with.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 薛蟠忙道：“好兄弟，我原为求你快些出来，就忘了忌讳这句话，改日你要哄我，也说我父亲，就完了。”\n", "--------------------------------------------------\n", "english: 'Now look here, old chap,' said Xue Pan, getting agitated, 'it was only because I wanted to fetch you out a bit quicker. I admit it was very wrong of me to make free with your Parent, but after all, you've only got to mention my father next time you want to fool me and we'll be quits!'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-03: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "Chinese: 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "\n", "Chinese: 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "\n", "Chinese: 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "\n", "Chinese: 薛蟠忙道：“好兄弟，我原为求你快些出来，就忘了忌讳这句话，改日你要哄我，也说我父亲，就完了。”\n", "English: Xue Pan hurriedly said, \"Good brother, I originally asked you to come out quickly, but I forgot to avoid saying that sentence. If you want to flatter me in the future, just say my father's name, and it will be enough.\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 空空道人听如此说，思忖半晌，将这《石头记》再检阅一遍。\n", "--------------------------------------------------\n", "english: For a long time Vanitas stood lost in thought, pondering this speech. He then subjected the Story of the stone to a careful second reading.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-03: 空空道人听如此说，思忖半晌，将这《石头记》再检阅一遍。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝见他不是向自己走来，暗暗舒了口气，心道：“老乌龟好厉害，眼睛虽然瞎了，居然能追到这里。”\n", "--------------------------------------------------\n", "english: Trinket breathed a silent sigh of relief when he saw that he was not walking in his direction. 'Who'd have thought the Old Turtle would be able to follow me all the way here in spite of being blind?' he thought.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-03: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "Chinese: 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "\n", "Chinese: 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "\n", "Chinese: 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "\n", "Chinese: 韦小宝见他不是向自己走来，暗暗舒了口气，心道：“老乌龟好厉害，眼睛虽然瞎了，居然能追到这里。”\n", "English: Ve Xiao Bao saw that he was not coming towards him, and breathed a sigh of relief. He thought to himself, \"That old turtle is really impressive, even though he's blind, he was able to chase him all the way here.\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 顾炎武道：“当今之世，便真有桃源乐土，咱们也不能独善其身，去躲了起来……”\n", "--------------------------------------------------\n", "english: 'Come,' said Gu, 'even if there were such a place, we cannot, as individuals, opt out altogether. In times like these—'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-03: Sure, I'd be happy to help! Here's the translation of the Chinese sentence you provided:\n", "\n", "顾炎武道：“当今之世，便真有桃源乐土，咱们也不能独善其身，去躲了起来……”\n", "\n", "English: \"In this present age, there are indeed utopian paradises like the Peach Garden, but we cannot isolate ourselves and hide away from the world.\"\n", "\n", "Please note that the translation is based on the context of the sentence and may not be exact in every word.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 却不知那宝玉是不要人怕他的。\n", "--------------------------------------------------\n", "english: She was unaware that Bao-yu positively disliked anyone being afraid of him.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-03: However, the given Chinese sentence \"却不知那宝玉是不要人怕他的\" is incomplete and does not form a coherent sentence. Therefore, I will copy the input text as my output.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 明明听得韦小宝是落在一株芍药花旁，这小鬼手中的宝剑或许已震得远远飞出，可是他的尸体怎会突然不见？\n", "--------------------------------------------------\n", "english: According to his calculation, Trinket must have fallen into the bed of peonies. He could understand that the weapon might have flown from his hand and be lying at quite some distance away, but where was the body?\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-03: 明明听得韦小宝是落在一株芍药花旁，这小鬼手中的宝剑或许已震得远远飞出，可是他的尸体怎会突然不见？\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 平儿站在炕沿边，打量了刘姥姥两眼，只得问个好，让了坐。\n", "--------------------------------------------------\n", "english: Patience, who was standing by the edge of the kang, made a rapid assessment of Grannie Liu and judged it sufficient to greet her with a civil 'how-do-you-do' and an invitation to be seated.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-03: 平儿站在炕沿边，打量了刘姥姥两眼，只得问个好，让了坐。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-03: 1\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/Llama3.1-8B-Chinese-Chat/shots-03: Sure, I'd be happy to help! Here's the translation of the Chinese sentence you provided:\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: Vegetable Master secretly cursed: \"Being a eunuch requires castration, which means cutting off the thing for urination.\"\n", "\n", "Please note that the translation is literal and may not be grammatically correct in English.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 刘姥姥道：“我也知道。\n", "--------------------------------------------------\n", "english: 'I knew all about that,' said Grannie Liu.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-03: Sure, I'd be happy to help! Here's the translation of the Chinese sentence you provided:\n", "\n", "刘姥姥道：“我也知道。\n", "\n", "English: Liu Yaya said, \"I also know.\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 成麻子逢人便说：“你们怕什么？ 愁什么？\n", "--------------------------------------------------\n", "english: 'What are you afraid of?' Pocky Cheng asked everyone he met.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-03: Sure, I'd be happy to help! Here's the translation of the Chinese sentence you provided:\n", "\n", "成麻子逢人便说：“你们怕什么？ 愁什么？\n", "\n", "English: Cheng Mazu would often say to people, \"What are you afraid of? What are you worried about?\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 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", "english: '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", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-03: Sure, I'd be happy to help! Here's the translation of the Chinese sentence you provided:\n", "\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", "English: \"I came back today after gambling, and I met a small... eunuch who blocked my way and asked me for money. I refused, and he challenged me to a fight, saying that I won and he would let me go.\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 贾蓉先咬定牙不依，只说：“明日告诉族中的人评评理。”\n", "--------------------------------------------------\n", "english: But Jia Rong feigned the most obdurate incorruptibility and insisted that he would lay the matter next day before a council of the whole clan and see that justice was done.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-03: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "Chinese: 贾蓉先咬定牙不依，只说：“明日告诉族中的人评评理。”\n", "English: Jia Rong first clenched her teeth and refused to give in, saying only, \"I will tell the people of our clan about this tomorrow and let them decide what is fair.\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝也低声道：“我来迟啦。 我在路上绊到了一只又臭又硬的老乌龟，摔了一交。”\n", "--------------------------------------------------\n", "english: 'I know, I'm late,' Trinket whispered back, 'but I had a fall on the way. I tripped over a horrible old turtle.'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-03: Sure, I'd be happy to help! Here's the translation of the Chinese sentence you provided:\n", "\n", "Chinese: 韦小宝也低声道：“我来迟啦。 我在路上绊到了一只又臭又硬的老乌龟，摔了一交。”\n", "\n", "English: Vegeta also spoke softly, \"I'm late. I tripped over a stinky, hard old turtle on the road and fell over.\"\n", "\n", "Please note that the translation is based on the context of the sentence and may not be exact in every word.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 薛蟠道：“要不是，我也不敢惊动：只因下月初三日，是我的生日，谁知老胡和老程他们，不知那里寻了来的：这么粗，这么长，粉脆的鲜藕；这么大的西瓜；这么长，这么大的暹罗国进贡的灵柏香熏的暹罗猪、鱼。\n", "--------------------------------------------------\n", "english: 'Look,' said Xue Pan. 'I wouldn't have troubled you otherwise, only it's my birthday on the third of next month and old Hu and old Cheng and a couple of the others, I don't know where they got them from but they've given me: a piece of fresh lotus root, ever so crisp and crunchy, as thick as that, look, and as long as that; a huge great melon, look, as big as that; a freshly-caught sturgeon as big as that; and a cypress-smoked Siamese sucking-pig as big as that that came in the tribute from Siam.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-03: Sure, I'd be happy to help! Here's the translation of the Chinese sentence you provided:\n", "\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", "English: Shui-ping said, \"If it weren't for the fact that it's my birthday next month on the third, I wouldn't have dared to disturb you. But it seems that Old Hu and Old Cheng have brought back some strange things: such a thick and long lotus root; such a large watermelon; and such a long and large Siamese pig and fish from Siam, all of which have been smoked with fragrant Siamese wood.\"\n", "\n", "Please note that the translation is not perfect and some nuances may be lost in translation.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-03: 1\n", "### Analyzing: shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05\n", "*** Found 0 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05\n", "\n", "*** Found 0 rows with output_tokens >= 300 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05\n", "\n", "*** Found 25 rows with incomplete translations for shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05\n", "--------------------------------------------------\n", "chinese: 韦小宝听他接连提到皇上，心念一动：“难道这里是皇宫？\n", "--------------------------------------------------\n", "english: 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", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05: Sure, I'd be happy to help! Here's the translation of the Chinese sentence you provided:\n", "\n", "Chinese: 韦小宝听他接连提到皇上，心念一动：“难道这里是皇宫？\n", "\n", "English: Ve Xiao Bao listened as he repeatedly mentioned the emperor, and his mind suddenly flashed with the thought: \"Could this place be the imperial palace?\"\n", "\n", "Please note that this is just a translation of the sentence and does not provide any additional context or explanation. If you have any further questions or need clarification, feel free to ask!\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 黄宗羲道：“是啊。\n", "--------------------------------------------------\n", "english: 'Quite,' said Huang.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05: 黄宗羲说：“是啊。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 常伟思拍拍桌子说，“不要扯远了，你可以说出自己的方案。”\n", "--------------------------------------------------\n", "english: General Chang slammed the table. 'Don't bring up irrelevant matters. If you have a plan, say what it is.'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05: 常伟思拍拍桌子说，“不要扯远了，你可以说出自己的方案。”\n", "English: Constantine slapped the table and said, \"Don't beat around the bush. You can present your own plan.\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝伸出了舌头，半天缩不进去，随即喜欢得心痒难搔，笑道：“我一定不做坏事。\n", "--------------------------------------------------\n", "english: Trinket stuck his tongue out in amazement and it was some time before he could put it back in again. Yet his overriding feeling was not of amazement but of happiness that he had got this heroic strong man for his teacher. 'I promise you I won't ever do anything bad,' he said.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05: Sure, I'd be happy to help! Here's the translation of the Chinese sentence you provided:\n", "\n", "Chinese: 韦小宝伸出了舌头，半天缩不进去，随即喜欢得心痒难搔，笑道：“我一定不做坏事。\n", "\n", "English: Ve Xiao Bao stuck out his tongue, and it wouldn't go back in for half a day. He was so pleased that he couldn't help but laugh and say, \"I'll definitely not do anything bad.\"\n", "\n", "Please note that this is a literal translation, and the sentence may not make perfect sense in English. The original Chinese sentence is quite playful and humorous, and the translation may not fully capture the tone and nuance of the original.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 这件事传出去对谁都没好处，所以就没向上报告，只是在农场内部通缉王二和陈清扬。\n", "--------------------------------------------------\n", "english: It wouldn't have been good for any of us if that news had gotten out. So they didn't report us, only issued a wanted poster on the farm.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05: Since the given Chinese sentence is incomplete, I will copy the input text as my output.\n", "\n", "English: 这件事传出去对谁都没好处，所以就没向上报告，只是在农场内部通缉王二和陈清扬。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝应了，走进房中，只见桌上放着碗筷，四菜一汤，没人动过，忙道：“公公，你不吃饭？\n", "--------------------------------------------------\n", "english: 'Yes, Goong-goong!' Trinket walked across to the dining-table, where bowls and chopsticks had been laid, four dishes and a soup, all untouched. 'Goong-goong, aren't you eating?\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05: Sure, I'd be happy to help! Here's the translation of the Chinese sentence you provided:\n", "\n", "Chinese: 韦小宝应了，走进房中，只见桌上放着碗筷，四菜一汤，没人动过，忙道：“公公，你不吃饭？\n", "\n", "English: Ve Xiaobao nodded and entered the room, only to see that the table was set with bowls and chopsticks, and there were four dishes and one soup, but no one had touched them. He hurriedly asked, \"Grandfather, didn't you eat?\"\n", "\n", "Please note that I've translated the sentence as accurately as possible, but it's important to keep in mind that the meaning of a sentence can sometimes be lost in translation, and the context of the sentence may be important in understanding its full meaning.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 黄宗羲道：“我二人来此，乃是为了二瞻先生的那位本家伊璜先生。\n", "--------------------------------------------------\n", "english: 'It has to do with Erzhan's kinsman Yihuang, ' said Huang.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05: 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", "English: Huang Zongxi said, \"The two of us have come here for Mr. Ershan's relative, Mr. Yigan.\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 薛蟠忙道：“好兄弟，我原为求你快些出来，就忘了忌讳这句话，改日你要哄我，也说我父亲，就完了。”\n", "--------------------------------------------------\n", "english: 'Now look here, old chap,' said Xue Pan, getting agitated, 'it was only because I wanted to fetch you out a bit quicker. I admit it was very wrong of me to make free with your Parent, but after all, you've only got to mention my father next time you want to fool me and we'll be quits!'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05: Sure, I'd be happy to help! Here's the translation of the Chinese sentence you provided:\n", "\n", "薛蟠忙道：“好兄弟，我原为求你快些出来，就忘了忌讳这句话，改日你要哄我，也说我父亲，就完了。”\n", "\n", "English: \"Good brother, I originally asked you to come out quickly, and I forgot to avoid saying that word. If you want to flatter me in the future, just say my father's name, and it will be enough.\"\n", "\n", "Please note that this translation is based on the context of the sentence and may not be exact in every detail. If you have any further questions or need clarification, please let me know!\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 空空道人听如此说，思忖半晌，将这《石头记》再检阅一遍。\n", "--------------------------------------------------\n", "english: For a long time Vanitas stood lost in thought, pondering this speech. He then subjected the Story of the stone to a careful second reading.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05: 空空道人听如此说，思忖半晌，将这《石头记》再检阅一遍。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝见他不是向自己走来，暗暗舒了口气，心道：“老乌龟好厉害，眼睛虽然瞎了，居然能追到这里。”\n", "--------------------------------------------------\n", "english: Trinket breathed a silent sigh of relief when he saw that he was not walking in his direction. 'Who'd have thought the Old Turtle would be able to follow me all the way here in spite of being blind?' he thought.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05: Sure, I'd be happy to help! Here's the translation of the Chinese sentence you provided:\n", "\n", "Chinese: 韦小宝见他不是向自己走来，暗暗舒了口气，心道：“老乌龟好厉害，眼睛虽然瞎了，居然能追到这里。”\n", "\n", "English: Ve Xiaobao saw that he wasn't coming towards him, and secretly let out a sigh of relief, thinking to himself, \"That old turtle is really impressive, even though his eyes are blind, he was able to chase him all the way here.\"\n", "\n", "Please note that the translation is based on the context of the sentence and may not be exact in every word.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 小红抬头见是小丫头子坠儿。\n", "--------------------------------------------------\n", "english: Crimson looked up. It was Trinket, another of the maids from Green Delights.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05: 小红抬头见是小丫头子坠儿。\n", "English: Xiao Hong looked up and saw it was the little girl, Diao Er.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 喂她最多的是齐猎头儿的儿媳妇，叫大凤，这个健壮的东北妮子每天吃着高粱米大渣子，同时奶两个娃，奶水还是旺旺的。\n", "--------------------------------------------------\n", "english: The one who nursed her the most was Hunter Qi's daughter-in-law, called Feng. Feng had the strong, solid frame of the women of the Northeast. She ate sorghum every day, and her large breasts were full of milk even though she was feeding two babies at the same time.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05: Hello! I'd be happy to help you with your Chinese to English translation. Here's the sentence you provided:\n", "\n", "喂她最多的是齐猎头儿的儿媳妇，叫大凤，这个健壮的东北妮子每天吃着高粱米大渣子，同时奶两个娃，奶水还是旺旺的。\n", "\n", "English translation:\n", "\n", "Hello! The person she loves most is the daughter-in-law of Qi Lie Tou, called Big Phoenix. This robust Northeastern girl eats highland barley rice with big grains every day and nurses two babies, and her milk is still abundant.\n", "\n", "Please note that the translation is based on the context and may not be perfect. If you have any further questions or need clarification, please let me know!\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 明明听得韦小宝是落在一株芍药花旁，这小鬼手中的宝剑或许已震得远远飞出，可是他的尸体怎会突然不见？\n", "--------------------------------------------------\n", "english: According to his calculation, Trinket must have fallen into the bed of peonies. He could understand that the weapon might have flown from his hand and be lying at quite some distance away, but where was the body?\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05: 明明听得韦小宝是落在一株芍药花旁，这小鬼手中的宝剑或许已震得远远飞出，可是他的尸体怎会突然不见？\n", "\n", "English: It was clear that Wei Xiaobao had fallen by a pomegranate flower, and his sword might have flown far away from his hand, but how could his body suddenly disappear?\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 平儿站在炕沿边，打量了刘姥姥两眼，只得问个好，让了坐。\n", "--------------------------------------------------\n", "english: Patience, who was standing by the edge of the kang, made a rapid assessment of Grannie Liu and judged it sufficient to greet her with a civil 'how-do-you-do' and an invitation to be seated.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05: 平儿站在炕沿边，打量了刘姥姥两眼，只得问个好，让了坐。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05: 1\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/Llama3.1-8B-Chinese-Chat/shots-05: Sure, I'd be happy to help! Here's the translation of the Chinese sentence you provided:\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: Ve Xiao Bao muttered to himself, \"So being a eunuch means having to remove one's genitalia.\"\n", "\n", "Please note that this sentence is quite graphic and may not be suitable for all audiences.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 薛蟠连忙打恭作揖赔不是，又求：“别难为了小子，都是我央及他去的。”\n", "--------------------------------------------------\n", "english: Xue Pan was by this time being apologetic — bowing repeatedly and pumping his hands to show how sorry he was: 'Don't blame the lad!' he said. 'It wasn't his fault. I talked him into it.'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05: Sure, I'd be happy to help! Here's the translation of the Chinese sentence you provided:\n", "\n", "薛蟠连忙打恭作揖赔不是，又求：“别难为了小子，都是我央及他去的。”\n", "\n", "English: Xue Pan quickly bowed and apologized, saying, \"Don't blame the young man, it's all my fault for asking him to go.\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 刘姥姥道：“我也知道。\n", "--------------------------------------------------\n", "english: 'I knew all about that,' said Grannie Liu.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05: 刘姥姥道：“我也知道。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 阮雯端坐在写字台前的那把转椅上，安详地闭着双眼。\n", "--------------------------------------------------\n", "english: Ruan was sitting on the chair before her desk, her eyes closed.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05: 阮雯 sat serenely with her eyes closed on the swivel chair in front of the writing desk.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 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", "english: '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", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05: Sure, I'd be happy to help! Here's the translation of the Chinese sentence you provided:\n", "\n", "Chinese: 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", "English: Ve Xiao Bao said, \"Today I came back from gambling and met a small... eunuch who blocked my way and asked me for money. I refused, so he challenged me to a fight and said that I won, and then he let me go.\"\n", "\n", "Please note that the translation is not perfect and there may be some nuances lost in translation. Additionally, the sentence is quite long and complex, so it's possible that there may be some errors or ambiguities in the translation.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05: 1\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/Llama3.1-8B-Chinese-Chat/shots-05: Guan Enwu raised his cup and loudly recited:\n", "\n", "Chinese: 酒逢知己饮，人生得意须尽欢。\n", "English: When drinking with a friend, one should enjoy life to the fullest.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝想要打手势叫她别说，却又不敢移动手臂。\n", "--------------------------------------------------\n", "english: When Trinket heard the old eunuch's question, he wanted to signal to Blossom not to let on that he was there, but dared not risk even moving his hand.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05: Sure, I'd be happy to help! Here's the translation of the Chinese sentence you provided:\n", "\n", "Chinese: 韦小宝想要打手势叫她别说，却又不敢移动手臂。\n", "\n", "English: Wei Xiaobao wanted to gesture to her not to speak, but he was too afraid to move his arm.\n", "\n", "Please note that this is a literal translation, and the sentence may not make perfect sense in English. If you'd like, I can try to rephrase it to make it more idiomatic in English.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 这时间的电车，多是些家庭主妇般的女人，手里拎着布袋，身上的旗袍是有皱痕的，腿后的丝袜也没对准缝，偏了那么一点，头发或是蓬乱，或是理发店刚出来戴了一顶盔似的，脸上表情也是木着的，万事俱不关心的样子。\n", "--------------------------------------------------\n", "english: Most of the passengers at that time of the day were housewives with cloth bags in hand, wearing wrinkled cheongsams, the seams of their stockings running crookedly up the back of their legs. They either had messy, disheveled hair or, if they had just walked out of the beauty salon, hair that look like a helmet. Their faces were rigid, as if nothing in the world concerned them.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05: This tramcar was filled with women who looked like housewives, carrying cloth bags and wearing旗袍 with wrinkles, with their stockings slightly askew, and their hair either disheveled or freshly styled in a helmet-like manner. Their faces were expressionless, with a look of indifference to everything.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 因见上面大旨不过谈情，亦只是实录其事，绝无伤时诲淫之病，方从头至尾抄写回来，闻世传奇。\n", "--------------------------------------------------\n", "english: He could see that its main theme was love; that it consisted quite simply of a true record of real events; and that it was entirely free from any tendency to deprave and corrupt. He therefore copied it all out from beginning to end and took it back with him to look for a publisher.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05: Since the given Chinese sentence is incomplete, I will copy the input text as my output.\n", "\n", "Chinese: 因见上面大旨不过谈情，亦只是实录其事，绝无伤时诲淫之病，方从头至尾抄写回来，闻世传奇。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 周瑞家的认了半日，方笑道：“刘姥姥，你好?\n", "--------------------------------------------------\n", "english: Zhou Rui's wife scrutinized her questioningly for some moments before finally recognizing her. 'Why, it's Grannie Liu! How are you?\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05: Ah, yes. The sentence you provided is a complete sentence in Chinese, and it can be translated to English as follows:\n", "\n", "\"周瑞家的认了半日，方笑道：“刘姥姥，你好?\" \n", "\n", "English: \"Weeks passed, and finally, Mrs. Zhou smiled and said, 'Aunt Liu, how are you?'\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 陈清扬也是这么解释的，可是那女孩说，我可以把精液放到试管里，寄到云南让陈清扬人工授精。\n", "--------------------------------------------------\n", "english: Chen Qingyang explained things to her daughter that way, too. But the girl said I could have put my sperm in a test tube and mailed it to Chen Qingyang, who was still in Yunnan at that time, for artificial insemination.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05: Sure, I'd be happy to help! Here's the translation of the Chinese sentence you provided:\n", "\n", "陈清扬也是这么解释的，可是那女孩说，我可以把精液放到试管里，寄到云南让陈清扬人工授精。\n", "\n", "English: Chen Qingyang also explained it this way, but the girl said, \"I can put the sperm in a test tube and send it to Yunnan for artificial insemination for Chen Qingyang.\"\n", "\n", "Please note that this sentence is quite explicit and may not be suitable for all audiences.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-05: 1\n", "### Analyzing: shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10\n", "*** Found 1 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-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, long, long, short, long, long, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short,\n", "================================================================================\n", "----detect excessive whitespaces----\n", "----detect text repetitions----\n", "\n", "Group 1 found at 5-11: `, long`\n", "Group 2 found at 17-23: `, long`\n", "Group 3 found at 17-23: `, long`\n", "\n", "Group 1 found at 30-42: `, long, long`\n", "Group 2 found at 42-54: `, long, long`\n", "Group 3 found at 42-54: `, long, long`\n", "\n", "Group 1 found at 938-945: `, short`\n", "Group 2 found at 945-952: `, short`\n", "Group 3 found at 945-952: `, short`\n", "\n", "Group 1 found at 952-958: `, long`\n", "Group 2 found at 958-964: `, long`\n", "Group 3 found at 958-964: `, long`\n", "(0, 952, 952)\n", "\n", "*** Found 22 rows with output_tokens >= 300 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10\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/Llama3.1-8B-Chinese-Chat/shots-10: Because I was protected by a fox fairy.\n", "He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "Mr. Cheng accepted their toast with equanimity and a 'thank you.' Then, turning to Wang Qiyao, he asked if she had anything to say.\n", "Mr. Cheng had always thought her a calculating woman. Back when he used to call on Wang Qiyao, she would never even bother to greet him but always sent the maid down to talk to him at the door instead.\n", "In his way of thinking, this red, stiff, foot-long thing on my body was the incarnation of evil.\n", "He listened as Sha told of how she witnessed the death of her father during the Cultural Revolution, how she was falsely accused at the Production and Construction Corps, how she then seemed to disappear until her return to Beijing at the beginning of the nineties, when she began teaching astrophysics at Tsinghua, where her father had also taught, until her retirement.\n", "Before long, it\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 300\n", "--------------------------------------------------\n", "chinese: 任副官在他腚上打了一鞭子，他嘴咧开叫一声：孩子他娘！\n", "--------------------------------------------------\n", "english: Adjutant Ren smacked him across the backside with his whip, forcing a yelp from between his parted lips. Ouch, mother of my children!\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 300\n", "--------------------------------------------------\n", "chinese: 韦小宝伸出了舌头，半天缩不进去，随即喜欢得心痒难搔，笑道：“我一定不做坏事。\n", "--------------------------------------------------\n", "english: Trinket stuck his tongue out in amazement and it was some time before he could put it back in again. Yet his overriding feeling was not of amazement but of happiness that he had got this heroic strong man for his teacher. 'I promise you I won't ever do anything bad,' he said.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 300\n", "--------------------------------------------------\n", "chinese: 刘姥姥感谢不尽，仍从后门去了。\n", "--------------------------------------------------\n", "english: And so, with many expressions of gratitude, the old lady took her leave and set out once more through the back gate of the mansion.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. Chinese: 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. Chinese: 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. Chinese: 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. Chinese: 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 300\n", "--------------------------------------------------\n", "chinese: 薛蟠忙道：“好兄弟，我原为求你快些出来，就忘了忌讳这句话，改日你要哄我，也说我父亲，就完了。”\n", "--------------------------------------------------\n", "english: 'Now look here, old chap,' said Xue Pan, getting agitated, 'it was only because I wanted to fetch you out a bit quicker. I admit it was very wrong of me to make free with your Parent, but after all, you've only got to mention my father next time you want to fool me and we'll be quits!'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 300\n", "--------------------------------------------------\n", "chinese: 对，对，郡主娘娘，咱们刻好之后，我牵了你去长安门大街，大叫：‘哪一位客官要印乌龟？ 三文钱印一张！’\n", "--------------------------------------------------\n", "english: Ah, yes, Little Countess, I know what. When the carving's ready, I'll be able to take you out into Changan Street and set up there as a print-seller. 'Roll up, roll up!' I'll say. 'Buy a nice turtle print, three cash a sheet!'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "Chinese: 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "\n", "Chinese: 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "\n", "Chinese: 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "\n", "Chinese: 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "\n", "Chinese: 程\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 300\n", "--------------------------------------------------\n", "chinese: 韦小宝双臂被他一托，突然间全身一热，打了个颤，便拜不下去。\n", "--------------------------------------------------\n", "english: Trinket could feel the scholar's strong hands on his arms. A warm sensation passed through his body, followed by a little tremor of excitement. He abandoned his kowtow and got up.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 300\n", "--------------------------------------------------\n", "chinese: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n", "--------------------------------------------------\n", "english: short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: Short, long, long, long, short, long, long, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short,\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 300\n", "--------------------------------------------------\n", "chinese: 急的霍启直寻了半夜， 至天明不见，那霍启也不敢回来见主人，便逃往他乡去了。\n", "--------------------------------------------------\n", "english: Frantically he searched for her throughout the rest of the night; but when day dawned and he had still not found her, he took to his heels, not daring to face his master and mistress, and made off for another part of the country.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. Chinese: 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. Chinese: 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. Chinese: 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. Chinese: 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 300\n", "--------------------------------------------------\n", "chinese: 喂她最多的是齐猎头儿的儿媳妇，叫大凤，这个健壮的东北妮子每天吃着高粱米大渣子，同时奶两个娃，奶水还是旺旺的。\n", "--------------------------------------------------\n", "english: The one who nursed her the most was Hunter Qi's daughter-in-law, called Feng. Feng had the strong, solid frame of the women of the Northeast. She ate sorghum every day, and her large breasts were full of milk even though she was feeding two babies at the same time.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: Hello! I'd be happy to help you with your Chinese to English translation. Here are the translations for the sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 300\n", "--------------------------------------------------\n", "chinese: 韦小宝双手撑地，只想使劲弹起来，但胸口要害处给对手按住了，什么力气都使不出来，僵持良久，只得又投降一次。\n", "--------------------------------------------------\n", "english: Trinket stretched and heaved with all his might (what little of it he had left), but his opponent was still astride his aching ribs, and his efforts were to no avail. After several more minutes of futile struggle, he surrendered yet again.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 300\n", "--------------------------------------------------\n", "chinese: 因问周瑞家的道：“这老老不知用了早饭没有呢？”\n", "--------------------------------------------------\n", "english: She turned to Zhou Rui's wife. 'I wonder if Grannie has eaten yet today?'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: Because I was protected by a fox fairy.\n", "He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "Mr. Cheng accepted their toast with equanimity and a 'thank you.' Then, turning to Wang Qiyao, he asked if she had anything to say.\n", "Mr. Cheng had always thought her a calculating woman. Back when he used to call on Wang Qiyao, she would never even bother to greet him but always sent the maid down to talk to him at the door instead.\n", "In his way of thinking, this red, stiff, foot-long thing on my body was the incarnation of evil.\n", "He listened as Sha told of how she witnessed the death of her father during the Cultural Revolution, how she was falsely accused at the Production and Construction Corps, how she then seemed to disappear until her return to Beijing at the beginning of the nineties, when she began teaching astrophysics at Tsinghua, where her father had also taught, until her retirement.\n", "Before long, it\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 300\n", "--------------------------------------------------\n", "chinese: 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", "english: 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", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 300\n", "--------------------------------------------------\n", "chinese: 叶哲泰的妻子，同系的物理学教授绍琳从台下的前排站起来，走上台。 她身穿一件很不合体的草绿色衣服，显然想与红卫兵的色彩拉近距离，但熟悉绍琳的人联想到以前常穿精致旗袍讲课的她，总觉得别扭。\n", "--------------------------------------------------\n", "english: Ye's wife, physics professor Shao Lin, stood up from the crowd's front row. She walked onto the stage dressed in an ill-fitting green outfit, clearly intended to imitate the military uniform of the Red Guards. Those who knew her remembered that she had often taught class in an elegant qipao, and her current appearance felt forced and awkward.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: Sure, I'd be happy to help you with that! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. Chinese: 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. Chinese: 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. Chinese: 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. Chinese: 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 300\n", "--------------------------------------------------\n", "chinese: 那坠儿见问，便一桩桩的都告诉他了。\n", "--------------------------------------------------\n", "english: Trinket seemed to have no objection, however, and answered each question as it came.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. Chinese: 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. Chinese: 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. Chinese: 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. Chinese: 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 300\n", "--------------------------------------------------\n", "chinese: 沙瑞山又搬出一台笔记本电脑，手忙脚乱地启动系统，插上宽带网线，然后打电话—— 汪淼听出他在联系乌鲁木齐射电观测基地——然后等待着。\n", "--------------------------------------------------\n", "english: Sha took out a notebook computer and rushed to turn it on. He plugged in a network cable and picked up the phone. Wang could tell from the one-sided conversation that he was trying to get in touch with the Ürümqi radio astronomy observatory.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. Chinese: 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. Chinese: 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. Chinese: 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. Chinese: 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 300\n", "--------------------------------------------------\n", "chinese: 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", "english: '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", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 300\n", "--------------------------------------------------\n", "chinese: 三闷儿爬起来，抢了一把三齿要砍我，别人劝开了。\n", "--------------------------------------------------\n", "english: He got up, grabbed a pitchfork, and tried to stab me, but somebody stopped him.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. Chinese: 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. Chinese: 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. Chinese: 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. Chinese: 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 300\n", "--------------------------------------------------\n", "chinese: 韦小宝想要打手势叫她别说，却又不敢移动手臂。\n", "--------------------------------------------------\n", "english: When Trinket heard the old eunuch's question, he wanted to signal to Blossom not to let on that he was there, but dared not risk even moving his hand.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. Chinese: 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. Chinese: 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. Chinese: 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. Chinese: 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 300\n", "--------------------------------------------------\n", "chinese: 韦小宝也低声道：“我来迟啦。 我在路上绊到了一只又臭又硬的老乌龟，摔了一交。”\n", "--------------------------------------------------\n", "english: 'I know, I'm late,' Trinket whispered back, 'but I had a fall on the way. I tripped over a horrible old turtle.'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 300\n", "--------------------------------------------------\n", "chinese: 凤姐笑道：“亲戚们不大走动，都疏远了。\n", "--------------------------------------------------\n", "english: 'Relations don't come to see us much nowadays,' said Xi-feng affably. 'We are getting to be quite strangers with everybody.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 300\n", "--------------------------------------------------\n", "chinese: 陈清扬也是这么解释的，可是那女孩说，我可以把精液放到试管里，寄到云南让陈清扬人工授精。\n", "--------------------------------------------------\n", "english: Chen Qingyang explained things to her daughter that way, too. But the girl said I could have put my sperm in a test tube and mailed it to Chen Qingyang, who was still in Yunnan at that time, for artificial insemination.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\"\n", "English: \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "\n", "2. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\"\n", "English: \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\"\n", "\n", "3. \"程先生照单全收，都是一个“谢”字，然后问王琦瑶有什么话说。\"\n", "English: \"Mr. Cheng accepted their toast with equanimity and a 'thank you.' Then, turning to Wang Qiyao, he asked if she had anything to say.\"\n", "\n", "4. \"程先生向来觉得她母亲势利，过去并不把他放在眼里，他在楼下叫王琦瑶，她连门都不肯开，只让\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 300\n", "\n", "*** Found 39 rows with incomplete translations for shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10\n", "--------------------------------------------------\n", "chinese: 任副官在他腚上打了一鞭子，他嘴咧开叫一声：孩子他娘！\n", "--------------------------------------------------\n", "english: Adjutant Ren smacked him across the backside with his whip, forcing a yelp from between his parted lips. Ouch, mother of my children!\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝听他接连提到皇上，心念一动：“难道这里是皇宫？\n", "--------------------------------------------------\n", "english: 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", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: Sure, I'd be happy to help! Here's the translation of the Chinese sentence you provided:\n", "\n", "Chinese: 韦小宝听他接连提到皇上，心念一动：“难道这里是皇宫？\n", "\n", "English: Ve Xiao Bao listened as he repeatedly mentioned the emperor, and his mind suddenly flashed: \"Could it be that this is the imperial palace?\"\n", "\n", "Please note that this is just a translation of the sentence and does not provide any additional context or explanation. If you have any further questions or need more information, feel free to ask!\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 常伟思拍拍桌子说，“不要扯远了，你可以说出自己的方案。”\n", "--------------------------------------------------\n", "english: General Chang slammed the table. 'Don't bring up irrelevant matters. If you have a plan, say what it is.'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 常伟思拍拍桌子说，“不要扯远了，你可以说出自己的方案。”\n", "English: Constantine slapped the table and said, \"Don't go off on a tangent. You can present your own plan.\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝伸出了舌头，半天缩不进去，随即喜欢得心痒难搔，笑道：“我一定不做坏事。\n", "--------------------------------------------------\n", "english: Trinket stuck his tongue out in amazement and it was some time before he could put it back in again. Yet his overriding feeling was not of amazement but of happiness that he had got this heroic strong man for his teacher. 'I promise you I won't ever do anything bad,' he said.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 刘姥姥感谢不尽，仍从后门去了。\n", "--------------------------------------------------\n", "english: And so, with many expressions of gratitude, the old lady took her leave and set out once more through the back gate of the mansion.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. Chinese: 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. Chinese: 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. Chinese: 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. Chinese: 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 黄宗羲道：“我二人来此，乃是为了二瞻先生的那位本家伊璜先生。\n", "--------------------------------------------------\n", "english: 'It has to do with Erzhan's kinsman Yihuang, ' said Huang.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 黄宗羲说：“我们两个来这里是为了二瞻先生的亲戚伊璜先生。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 薛蟠忙道：“好兄弟，我原为求你快些出来，就忘了忌讳这句话，改日你要哄我，也说我父亲，就完了。”\n", "--------------------------------------------------\n", "english: 'Now look here, old chap,' said Xue Pan, getting agitated, 'it was only because I wanted to fetch you out a bit quicker. I admit it was very wrong of me to make free with your Parent, but after all, you've only got to mention my father next time you want to fool me and we'll be quits!'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 空空道人听如此说，思忖半晌，将这《石头记》再检阅一遍。\n", "--------------------------------------------------\n", "english: For a long time Vanitas stood lost in thought, pondering this speech. He then subjected the Story of the stone to a careful second reading.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 空空道人听如此说，思忖半晌，将这《石头记》再检阅一遍。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 小红闻听，在窗眼内望外一看，原来是本院的个小丫头佳蕙，因答说：“在家里呢，你进来罢。”\n", "--------------------------------------------------\n", "english: Peeping through an eyelet in the casement she recognized Melilot, a little maid who belonged to the same apartment as herself. 'Yes, I'm in,' she said. 'Come inside!'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 小红 heard this and looked out the window to see that it was a little girl from our school, Jia Hui. She replied, \"Come on in.\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 对，对，郡主娘娘，咱们刻好之后，我牵了你去长安门大街，大叫：‘哪一位客官要印乌龟？ 三文钱印一张！’\n", "--------------------------------------------------\n", "english: Ah, yes, Little Countess, I know what. When the carving's ready, I'll be able to take you out into Changan Street and set up there as a print-seller. 'Roll up, roll up!' I'll say. 'Buy a nice turtle print, three cash a sheet!'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "Chinese: 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "\n", "Chinese: 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "\n", "Chinese: 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "\n", "Chinese: 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "\n", "Chinese: 程\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 叶文洁暗想，他们怎么敢上雷达峰？\n", "--------------------------------------------------\n", "english: Ye wondered how they dared to come onto Radar Peak.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 叶文洁暗想，他们怎么敢上雷达峰？\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝双臂被他一托，突然间全身一热，打了个颤，便拜不下去。\n", "--------------------------------------------------\n", "english: Trinket could feel the scholar's strong hands on his arms. A warm sensation passed through his body, followed by a little tremor of excitement. He abandoned his kowtow and got up.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 急的霍启直寻了半夜， 至天明不见，那霍启也不敢回来见主人，便逃往他乡去了。\n", "--------------------------------------------------\n", "english: Frantically he searched for her throughout the rest of the night; but when day dawned and he had still not found her, he took to his heels, not daring to face his master and mistress, and made off for another part of the country.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. Chinese: 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. Chinese: 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. Chinese: 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. Chinese: 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 喂她最多的是齐猎头儿的儿媳妇，叫大凤，这个健壮的东北妮子每天吃着高粱米大渣子，同时奶两个娃，奶水还是旺旺的。\n", "--------------------------------------------------\n", "english: The one who nursed her the most was Hunter Qi's daughter-in-law, called Feng. Feng had the strong, solid frame of the women of the Northeast. She ate sorghum every day, and her large breasts were full of milk even though she was feeding two babies at the same time.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: Hello! I'd be happy to help you with your Chinese to English translation. Here are the translations for the sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝双手撑地，只想使劲弹起来，但胸口要害处给对手按住了，什么力气都使不出来，僵持良久，只得又投降一次。\n", "--------------------------------------------------\n", "english: Trinket stretched and heaved with all his might (what little of it he had left), but his opponent was still astride his aching ribs, and his efforts were to no avail. After several more minutes of futile struggle, he surrendered yet again.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 小红听了，冷笑两声，方要说话，只见一个未留头的小丫头走进来，手里拿着些花样子并两张纸，说道：“这两个花样子叫你描出来呢。”\n", "--------------------------------------------------\n", "english: Crimson laughed scornfully, though whether at Melilot's simplicity or at Bao-yu's improvidence is unclear, since just as she was about to comment, a little maid came running in, so young that her hair was still done up in two little girl's horns. She was carrying some patterns and sheets of paper. 'You're to copy out these two patterns.'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 小红 listened, coldly laughing twice before she could speak. Just then, a young maid with no hair entered, holding some flower patterns and two sheets of paper, and said, \"These two flower patterns are for you to draw out.\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 明明听得韦小宝是落在一株芍药花旁，这小鬼手中的宝剑或许已震得远远飞出，可是他的尸体怎会突然不见？\n", "--------------------------------------------------\n", "english: According to his calculation, Trinket must have fallen into the bed of peonies. He could understand that the weapon might have flown from his hand and be lying at quite some distance away, but where was the body?\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 明明听得韦小宝是落在一株芍药花旁，这小鬼手中的宝剑或许已震得远远飞出，可是他的尸体怎会突然不见？\n", "\n", "English: It was clear that Wei Xiaobao had fallen by a pomegranate flower, and his sword might have flown far away from his hand, but how could his body suddenly disappear?\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 吕留良提笔沉吟半晌，便在画上振笔直书。 顷刻诗成，诗云：\n", "--------------------------------------------------\n", "english: He picked up a writing-brush and for some minutes could be observed muttering to himself in the throes of composition; then, writing straight on to the painting and with pauses only for moistening the brush, he quickly completed the following poem:\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: Lü Liuliang pondered for a moment, then quickly wrote on the painting. In an instant, the poem was complete, and it read:\n", "\n", "Chinese: 天地不仁，以万物为刍狗。\n", "English: The heavens are not kind, treating all things as mere cattle and dogs.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 刘姥姥一面走，一面笑说道：“你老是‘贵人多忘事’了，那里还记得我们？”\n", "--------------------------------------------------\n", "english: Grannie Liu followed her cackling. 'You know what they say: 'Important people have short memories.' I wouldn't expect you to remember the likes of us!'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: Sure, I'd be happy to help! Here's the translation of the Chinese sentence you provided:\n", "\n", "刘姥姥一面走，一面笑说道：“你老是‘贵人多忘事’了，那里还记得我们？”\n", "English: \"You're always saying that the rich are forgetful, but do you remember us?\"\n", "\n", "Here's a breakdown of the sentence:\n", "\n", "* 刘姥姥 (Liú Hóu hóu) - \"the rich person\" or \"the noble person\"\n", "* 一面走 (yī miàn zǒu) - \"while walking\" or \"on the way\"\n", "* 一面笑 (yī miàn xiào) - \"while smiling\"\n", "* 答辈 (dá bèi) - \"you\" (polite form)\n", "* 贵人多忘事 (guì rén duō wàng shì) - \"the rich are forgetful\"\n", "* 那里 (nà lǐ) - \"there\" or \"in that place\"\n", "* 还记得我们 (hái jì de wǒ men) - \"do you remember us?\"\n", "\n", "So the sentence is asking if the rich person remembers them, implying that the rich person is forgetful and doesn't care about the speaker's well-being.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 平儿站在炕沿边，打量了刘姥姥两眼，只得问个好，让了坐。\n", "--------------------------------------------------\n", "english: Patience, who was standing by the edge of the kang, made a rapid assessment of Grannie Liu and judged it sufficient to greet her with a civil 'how-do-you-do' and an invitation to be seated.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 平儿 stood by the edge of the bed, looked at Liu Erlang twice, and then asked for her name, making room for her to sit down.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 我说，既然你不愿意见它，那就算了。\n", "--------------------------------------------------\n", "english: I said, since you don't even want to look at him, let's just forget the whole thing.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: I understand. Here's the translation of the given Chinese sentence:\n", "\n", "Chinese: 我说，既然你不愿意见它，那就算了。\n", "English: I said, since you don't want to see it, that's fine.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 那堂倌一转身，程先生便伏在桌上哭了，眼泪成串地落在碱水刷白的白木桌面上。\n", "--------------------------------------------------\n", "english: As soon as the waiter turned away, Mr. Cheng bent over the table and started to cry, a stream of tears falling steadily on the bleached table cloth.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: No, that's not right. The correct translation is:\n", "\n", "Chinese: 那堂倌一转身，程先生便伏在桌上哭了，眼泪成串地落在碱水刷白的白木桌面上。\n", "English: The master of the house turned his back, and Mr. Cheng immediately bowed his head and wept, his tears falling in strings onto the white wooden table surface that had been scrubbed clean with lye.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 1\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/Llama3.1-8B-Chinese-Chat/shots-10: 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", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 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", "english: 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", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 叶哲泰的妻子，同系的物理学教授绍琳从台下的前排站起来，走上台。 她身穿一件很不合体的草绿色衣服，显然想与红卫兵的色彩拉近距离，但熟悉绍琳的人联想到以前常穿精致旗袍讲课的她，总觉得别扭。\n", "--------------------------------------------------\n", "english: Ye's wife, physics professor Shao Lin, stood up from the crowd's front row. She walked onto the stage dressed in an ill-fitting green outfit, clearly intended to imitate the military uniform of the Red Guards. Those who knew her remembered that she had often taught class in an elegant qipao, and her current appearance felt forced and awkward.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: Sure, I'd be happy to help you with that! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. Chinese: 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. Chinese: 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. Chinese: 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. Chinese: 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 刘姥姥道：“我也知道。\n", "--------------------------------------------------\n", "english: 'I knew all about that,' said Grannie Liu.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 刘姥姥道：“我也知道。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 陈清扬说，她女儿已经上了大二，最近知道了我们的事，很想见我。\n", "--------------------------------------------------\n", "english: Chen Qingyang said her daughter had gone into her sophomore year at the university. Recently she found out about our affair and wanted to meet me.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: Sure, I'd be happy to help! Here's the translation of the Chinese sentence you provided:\n", "\n", "陈清扬说，她女儿已经上了大二，最近知道了我们的事，很想见我。\n", "\n", "English: Chen Qingyang said that her daughter is already in her second year of college and has recently learned about our situation, and she really wants to see me.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 那坠儿见问，便一桩桩的都告诉他了。\n", "--------------------------------------------------\n", "english: Trinket seemed to have no objection, however, and answered each question as it came.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. Chinese: 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. Chinese: 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. Chinese: 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. Chinese: 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 沙瑞山又搬出一台笔记本电脑，手忙脚乱地启动系统，插上宽带网线，然后打电话—— 汪淼听出他在联系乌鲁木齐射电观测基地——然后等待着。\n", "--------------------------------------------------\n", "english: Sha took out a notebook computer and rushed to turn it on. He plugged in a network cable and picked up the phone. Wang could tell from the one-sided conversation that he was trying to get in touch with the Ürümqi radio astronomy observatory.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. Chinese: 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. Chinese: 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. Chinese: 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. Chinese: 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 阮雯端坐在写字台前的那把转椅上，安详地闭着双眼。\n", "--------------------------------------------------\n", "english: Ruan was sitting on the chair before her desk, her eyes closed.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 阮雯 sat serenely with her eyes closed on the swivel chair in front of the desk.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 阮雯曾留学剑桥，她的家曾对叶文洁充满了吸引力，那里有许多从欧洲带回来的精致的书籍、油画和唱片，一架钢琴；还有一排放在精致小木架上的欧式烟斗，父亲那只就是她送的，这些烟斗有地中海石楠根的，有土耳其海泡石的，每一个都仿佛浸透了曾将它们拿在手中和含在嘴里深思的那个男人的智慧，但阮雯从未提起过他。\n", "--------------------------------------------------\n", "english: Ruan had studied at Cambridge University, and her home had once fascinated Wenjie: refined books, paintings, and records brought back from Europe; a piano; a set of European-style pipes arranged on a delicate wooden stand, some made from Mediterranean briar, some from Turkish meerschaum. Each of them seemed suffused with the wisdom of the man who had once held the bowl in his hand or clamped the stem between his teeth, deep in thought, though Ruan had never mentioned the man's name. The pipe that had belonged to Wenjie's father had in fact been a gift from Ruan.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 阮雯曾在剑桥留学，她的家曾经对叶文洁充满了吸引力，那里有许多精致的书籍、油画和唱片，一架钢琴；还有一排放在精致小木架上的欧式烟斗，父亲那只就是她送的，这些烟斗有地中海石楠根的，有土耳其海泡石的，每一个都仿佛浸透了曾将它们拿在手中和含在嘴里深思的那个男人的智慧，但阮雯从未提起过他。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 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", "english: '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", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 三闷儿爬起来，抢了一把三齿要砍我，别人劝开了。\n", "--------------------------------------------------\n", "english: He got up, grabbed a pitchfork, and tried to stab me, but somebody stopped him.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. Chinese: 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. Chinese: 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. Chinese: 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. Chinese: 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 1\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/Llama3.1-8B-Chinese-Chat/shots-10: Guan Enwu raised his cup and loudly recited:\n", "Chinese: “人生得意须尽欢，\n", "English: \"When life is going well, one should enjoy oneself to the fullest,\n", "Chinese: 莫使金樽空对月。\n", "English: do not let the golden cup stand empty in front of the moon.\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝想要打手势叫她别说，却又不敢移动手臂。\n", "--------------------------------------------------\n", "english: When Trinket heard the old eunuch's question, he wanted to signal to Blossom not to let on that he was there, but dared not risk even moving his hand.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. Chinese: 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. Chinese: 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. Chinese: 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. Chinese: 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝也低声道：“我来迟啦。 我在路上绊到了一只又臭又硬的老乌龟，摔了一交。”\n", "--------------------------------------------------\n", "english: 'I know, I'm late,' Trinket whispered back, 'but I had a fall on the way. I tripped over a horrible old turtle.'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 凤姐笑道：“亲戚们不大走动，都疏远了。\n", "--------------------------------------------------\n", "english: 'Relations don't come to see us much nowadays,' said Xi-feng affably. 'We are getting to be quite strangers with everybody.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 陈清扬也是这么解释的，可是那女孩说，我可以把精液放到试管里，寄到云南让陈清扬人工授精。\n", "--------------------------------------------------\n", "english: Chen Qingyang explained things to her daughter that way, too. But the girl said I could have put my sperm in a test tube and mailed it to Chen Qingyang, who was still in Yunnan at that time, for artificial insemination.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\"\n", "English: \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "\n", "2. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\"\n", "English: \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\"\n", "\n", "3. \"程先生照单全收，都是一个“谢”字，然后问王琦瑶有什么话说。\"\n", "English: \"Mr. Cheng accepted their toast with equanimity and a 'thank you.' Then, turning to Wang Qiyao, he asked if she had anything to say.\"\n", "\n", "4. \"程先生向来觉得她母亲势利，过去并不把他放在眼里，他在楼下叫王琦瑶，她连门都不肯开，只让\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 佳蕙点头，想了一会道：“可也怨不得你。\n", "--------------------------------------------------\n", "english: Melilot shook her head sympathetically. 'I can't say I really blame you,' she said.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 佳蕙点头，想了一会道：“可也怨不得你。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-10: 1\n", "### Analyzing: shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50\n", "*** Found 0 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50\n", "\n", "*** Found 70 rows with output_tokens >= 300 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50\n", "--------------------------------------------------\n", "chinese: 叶文洁站在她身边，摸摸她的额头、脸和手，都是冰凉的，其实文洁在进门后就注意到了写字台上倒放着的那个已空的安眠药瓶。\n", "--------------------------------------------------\n", "english: Wenjie stood next to Ruan and gently caressed her professor's forehead, face, and hands—all cold. Wenjie had noticed the empty sleeping pill bottle on the desk as soon as she came in.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 斯坦顿的步话机响了起来。\n", "--------------------------------------------------\n", "english: Stanton's walkie-talkie squawked.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. Chinese: 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. Chinese: 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. Chinese: 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. Chinese: 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 任副官在他腚上打了一鞭子，他嘴咧开叫一声：孩子他娘！\n", "--------------------------------------------------\n", "english: Adjutant Ren smacked him across the backside with his whip, forcing a yelp from between his parted lips. Ouch, mother of my children!\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 韦小宝心想：“这肥猪肚中定是藏着什么古怪物事，莫非是兵器之类，天地会想在皇宫中杀人大闹？” 不由得心中怦怦而跳。\n", "--------------------------------------------------\n", "english: It was obvious that something very out of the ordinary must be concealed inside. Trinket could feel his heart thumping as he reflected that this might well be weapons which the Triads were smuggling in to be used in a killing spree inside the Palace.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 韦小宝听他接连提到皇上，心念一动：“难道这里是皇宫？\n", "--------------------------------------------------\n", "english: 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", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 罗小四等人回到队里，发现我的东西都不见了，就去问队长可见过王二。\n", "--------------------------------------------------\n", "english: Luo Xiaosi came back to the fourteenth team and found my stuff gone, so he went to ask the team leader whether he had seen me.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 家人见他这般光景，问：“是怎么了？” 少不得撒谎说：“天黑了，失脚掉在茅厕里了。”\n", "--------------------------------------------------\n", "english: When the servant who answered the gate saw the state he was in and asked him how it had happened, he had to pretend that he had been out in the darkness to ease himself and had fallen into the jakes.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 想着，便将正面一照，只见凤姐站在里面点手儿叫他。 贾瑞心中一喜，荡悠悠觉得进了镜子，与凤姐云雨一番，凤姐仍送他出来。\n", "--------------------------------------------------\n", "english: He turned the mirror round and looked, and there inside was Xi-feng beckoning to him to enter, and his ravished soul floated into the mirror after her. There they performed the act of love together, after which she saw him out again.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 文洁默默地转身走去，任双脚将她带向别处。\n", "--------------------------------------------------\n", "english: Wenjie turned around, not caring where her feet would carry her.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 外又有各同窗家中分资，也凑了二三十两。\n", "--------------------------------------------------\n", "english: A collection made among the parents of the dead man's fellow-students raised an additional twenty or thirty taels.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 韦小宝伸出了舌头，半天缩不进去，随即喜欢得心痒难搔，笑道：“我一定不做坏事。\n", "--------------------------------------------------\n", "english: Trinket stuck his tongue out in amazement and it was some time before he could put it back in again. Yet his overriding feeling was not of amazement but of happiness that he had got this heroic strong man for his teacher. 'I promise you I won't ever do anything bad,' he said.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 韦小宝应道：“是！” 心中却说：“我做半件坏事，却又如何？”\n", "--------------------------------------------------\n", "english: 'No, sir,' said Trinket; but a rebellious little voice inside him was saying, 'What about half a bad thing?'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 刘姥姥道：“阿弥陀佛! 这全仗嫂子方便了。”\n", "--------------------------------------------------\n", "english: 'Bless you, my dear, for being such a help!' said Grannie Liu.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 刘姥姥感谢不尽，仍从后门去了。\n", "--------------------------------------------------\n", "english: And so, with many expressions of gratitude, the old lady took her leave and set out once more through the back gate of the mansion.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 韦小宝应了，走进房中，只见桌上放着碗筷，四菜一汤，没人动过，忙道：“公公，你不吃饭？\n", "--------------------------------------------------\n", "english: 'Yes, Goong-goong!' Trinket walked across to the dining-table, where bowls and chopsticks had been laid, four dishes and a soup, all untouched. 'Goong-goong, aren't you eating?\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help you with that! Here's the translation of the Chinese sentence you provided:\n", "\n", "\"Because I was protected by a fox fairy.\"\n", "\n", "Here are the translations of the other Chinese sentences you provided:\n", "\n", "* \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\" - \"他是导演，表哥后来告诉他们。他在国外留学过，也是编剧；实际上，他写了并且导演了他们之前看到的那场戏。\"\n", "* \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\" - \"西风突然想起了什么，通过窗户叫道：“蓉儿回来！”\"\n", "* \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\" - \"三名老红卫兵站在叶面前排成一行—就像他们曾经站在叶哲泰面前一样—试图重新获得他们久违的尊严。但是，那种曾经推动他们的邪恶精神力量已经消失了。\"\n", "* \"Mr. Cheng accepted their toast with equanim\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 薛蟠忙道：“好兄弟，我原为求你快些出来，就忘了忌讳这句话，改日你要哄我，也说我父亲，就完了。”\n", "--------------------------------------------------\n", "english: 'Now look here, old chap,' said Xue Pan, getting agitated, 'it was only because I wanted to fetch you out a bit quicker. I admit it was very wrong of me to make free with your Parent, but after all, you've only got to mention my father next time you want to fool me and we'll be quits!'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 小红闻听，在窗眼内望外一看，原来是本院的个小丫头佳蕙，因答说：“在家里呢，你进来罢。”\n", "--------------------------------------------------\n", "english: Peeping through an eyelet in the casement she recognized Melilot, a little maid who belonged to the same apartment as herself. 'Yes, I'm in,' she said. 'Come inside!'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 韦小宝道：“我想也没什么难处，我明天一定牢牢掀住他肩头。”\n", "--------------------------------------------------\n", "english: 'I didn't think it would be hard. I just get him in a good shoulder grip, then—'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 韦小宝不知“羚羊挂角”是什么手法，误打误撞的胜了一招，大为得意，说道：“这‘羚羊挂角’算得什么，我还有许多厉害手法没使出来呢。”\n", "--------------------------------------------------\n", "english: Trinket had never even heard of the Antelope. He'd just been improvising and thrashing around, and somehow or other had managed to outwit his opponent. He was pretty chuffed. 'The Antelope is nothing!' he cried. 'I know plenty more, and they're a lot worse. You haven't seen anything yet!'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 坠儿满口里答应了，接了绢子，送出贾芸，回来找小红，不在话下。\n", "--------------------------------------------------\n", "english: Trinket received the handkerchief with eager assurances that he would be informed of the outcome, and having seen him out of the Garden, went back again to look for Crimson.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"Because I was protected by a fox fairy.\"\n", "2. \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\"\n", "5. \"Mr. Cheng accepted their toast with equanimity and a 'thank you.' Then, turning to Wang Qiyao, he asked if she had anything to say.\"\n", "6. \"Mr. Cheng had always thought her a calculating woman. Back when he used to call on Wang Qiyao, she would never even bother to greet him but always sent the maid down to talk to him at the door instead.\"\n", "7. \"In his way of thinking, this red, stiff, foot-long thing on my body was the incarnation of evil.\"\n", "8. \"He listened as Sha told of how she witnessed the death of her father during the Cultural Revolution, how she was falsely accused at the Production and Construction Corps, how\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 严师母心里狐疑，嘴上却不好说，只闲扯着要重新聚一聚，可惜萨沙不在了，去西伯利亚吃苏联面包了，不过，补上那位新来的先生，也够一桌麻将了。\n", "--------------------------------------------------\n", "english: Madame Yan grew suspicious, but was forced to keep her thoughts to herself; instead she casually suggested that they all get together again. 'It's a pity that Sasha's no longer around. He must be off in Siberia eating his Russian bread! But that's okay, you can bring along that new friend of yours and we'll have a foursome for our mahjong games.'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 潘寒接着说：“在座的各位都是《三体》的优秀玩家，成绩最好，也都很投人。\n", "--------------------------------------------------\n", "english: Pan continued. 'Everyone here is an excellent Three Body player. You have the best scores and are devoted to it.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. Chinese: 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. Chinese: 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. Chinese: 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. Chinese: 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 韦小宝双臂被他一托，突然间全身一热，打了个颤，便拜不下去。\n", "--------------------------------------------------\n", "english: Trinket could feel the scholar's strong hands on his arms. A warm sensation passed through his body, followed by a little tremor of excitement. He abandoned his kowtow and got up.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 凤姐笑而不睬，叫平儿把昨儿那包银子拿来，再拿一串钱，都送至刘姥姥跟前。\n", "--------------------------------------------------\n", "english: But Xi-feng laughed quite unconcernedly and told Patience to wrap up the silver and also to fetch a string of cash to go with it. The money was set down in front of Grannie Liu.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 韦小宝见他不是向自己走来，暗暗舒了口气，心道：“老乌龟好厉害，眼睛虽然瞎了，居然能追到这里。”\n", "--------------------------------------------------\n", "english: Trinket breathed a silent sigh of relief when he saw that he was not walking in his direction. 'Who'd have thought the Old Turtle would be able to follow me all the way here in spite of being blind?' he thought.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 守信肯定不是罪孽。\n", "--------------------------------------------------\n", "english: Keeping a promise is certainly no sin.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Certainly! I'll do my best to provide accurate and helpful translations. Here are the translations for the given Chinese sentences:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 韦小宝想问他什么叫神堂穴、环跳穴，如何点穴、解穴，但转念一想，自己是青木堂香主，又是总舵主的弟子，连点穴、解穴也不会，岂不是让下属们太也瞧不起？ 反正对付一个小姑娘总不是什么难事，点头道：“知道了。”\n", "--------------------------------------------------\n", "english: Trinket wanted to ask him where the Holy Hall and Ring Jump vital points were and how you closed and opened them; but then he remembered that, as Master of the Green Wood Lodge and a disciple of the great Helmsman, he was probably expected to know about these things and felt sure his subordinates would despise him if they found out that he was totally ignorant of these matters; so he just nodded and said that he would. 'Anyway, ' he thought, 'I shouldn't have any difficulty in handling her. She's only a girl.'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 顾炎武道：“当今之世，便真有桃源乐土，咱们也不能独善其身，去躲了起来……”\n", "--------------------------------------------------\n", "english: 'Come,' said Gu, 'even if there were such a place, we cannot, as individuals, opt out altogether. In times like these—'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 韦小宝双手撑地，只想使劲弹起来，但胸口要害处给对手按住了，什么力气都使不出来，僵持良久，只得又投降一次。\n", "--------------------------------------------------\n", "english: Trinket stretched and heaved with all his might (what little of it he had left), but his opponent was still astride his aching ribs, and his efforts were to no avail. After several more minutes of futile struggle, he surrendered yet again.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 韦小宝不明白他说些什么，只是见他神色欢愉，确是解开了心中一件极为难之事，也不禁代他高兴。\n", "--------------------------------------------------\n", "english: Trinket didn't understand what he was talking about, but he could tell from his pleased expression that some great weight had been lifted from his mind and couldn't help feeling pleased on his behalf.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 只见桌上仍是放着许多碟点心，他取了几块吃了，听得靴子声响，只怕来的不是小玄子，心想先钻入桌底再说，却听得小玄子在门外叫道：“小桂子，小桂子！”\n", "--------------------------------------------------\n", "english: The table was piled high again with good things to eat, and this time Trinket tucked in with a vengeance. Then he heard the flip-ploy of cloth boots again. He ducked under the table, just in case it turned out to be someone other than Misty. 'Laurel! Laurel!' It was Misty's voice calling from the doorway.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 韦小宝乘机跃起，抱住他头颈。\n", "--------------------------------------------------\n", "english: Trinket seized his chance, leapt up, and pinned his opponent down by the throat.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 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", "english: 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", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 韦小宝见这些人所发暗号各各不同，也不知是何用意。\n", "--------------------------------------------------\n", "english: Trinket observed that the signals they made were all different, but was unable to guess their significance.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 叶哲泰的妻子，同系的物理学教授绍琳从台下的前排站起来，走上台。 她身穿一件很不合体的草绿色衣服，显然想与红卫兵的色彩拉近距离，但熟悉绍琳的人联想到以前常穿精致旗袍讲课的她，总觉得别扭。\n", "--------------------------------------------------\n", "english: Ye's wife, physics professor Shao Lin, stood up from the crowd's front row. She walked onto the stage dressed in an ill-fitting green outfit, clearly intended to imitate the military uniform of the Red Guards. Those who knew her remembered that she had often taught class in an elegant qipao, and her current appearance felt forced and awkward.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\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/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 韦小宝记得茅十八在酒馆中与七名大汉相斗的手法，突然左手出拳，击向那男孩下颚，砰的一声，正好打中。\n", "--------------------------------------------------\n", "english: Trinket recalled Whiskers' fight with the seven wrestlers at the inn, and shot out a quick left that caught the boy hard, fair and square, on the lower cheek.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 韦小宝道：“不降！” 欲待挺腰翻起，蓦地里腰间一阵酸麻，后腰两处穴道已被小玄子屈指抵住，那正是海老公昨晚所教的手法，自己虽然学会了，却给对方抢先用出。\n", "--------------------------------------------------\n", "english: 'No! Never!' protested Trinket, but when he tried to straighten himself up and get to his feet, he felt a sudden numbness in the small of his back. Misty had beaten him to it! He had pressed on exactly the spot Old Hai had been trying to teach him the previous evening.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 薛蟠连忙打恭作揖赔不是，又求：“别难为了小子，都是我央及他去的。”\n", "--------------------------------------------------\n", "english: Xue Pan was by this time being apologetic — bowing repeatedly and pumping his hands to show how sorry he was: 'Don't blame the lad!' he said. 'It wasn't his fault. I talked him into it.'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 一时贾家众人齐来吊问。\n", "--------------------------------------------------\n", "english: The various members of the Jia family all came in due course to offer their condolences.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 于是他们把陈清扬也叫到人保组，严加审讯。\n", "--------------------------------------------------\n", "english: So they took Chen Qingyang to the office, interrogating her severely.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 贾芸笑道：“总是我没造化，偏又遇着叔叔欠安。\n", "--------------------------------------------------\n", "english: Jia Yun returned his smile: 'Let's just say that it wasn't my luck to see you then. But you have been ill since then, Uncle Bao.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 韦小宝道：“不用想，你有什么规矩，我守着便是。\n", "--------------------------------------------------\n", "english: 'I don't need to think,' said Trinket. 'Whatever your rules are, I'll keep them.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 于是走到东边这间屋里，乃是贾琏的女儿睡觉之所。\n", "--------------------------------------------------\n", "english: From the glittering reception room they passed to a room on the east side of it in which Jia Lian's baby daughter slept.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 那坠儿见问，便一桩桩的都告诉他了。\n", "--------------------------------------------------\n", "english: Trinket seemed to have no objection, however, and answered each question as it came.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 士隐见女儿越发生得粉装玉琢，乖觉可喜，便伸手接来抱在怀中斗他玩耍一回， 又带至街前，看那过会的热闹。\n", "--------------------------------------------------\n", "english: Her delicate little pink-and-white face seemed dearer to him than ever at that moment, and he stretched out his arms to take her and hugged her to him. After playing with her for a while at his desk, he carried her out to the front of the house to watch the bustle in the street.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 汪淼问，但旋即有些后悔，仔细想着自己的问题是否露出了些许的敌意。\n", "--------------------------------------------------\n", "english: Wang immediately regretted the question. He wondered whether asking it sounded hostile.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. Chinese: 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. Chinese: 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. Chinese: 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. Chinese: 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 高粱棵子里似乎有痛苦的呻吟声，尸体堆中好像有活物的蠕动，父亲想唤住爷爷，去看看这些尚未死利索的乡亲。 他仰起脸来，看到爷爷那副绿锈斑斑、丧失了人的表情的青铜面孔，把话儿压进了喉咙。\n", "--------------------------------------------------\n", "english: Tortured moans emerged from the field of sorghum, and here and there among the bodies some movement appeared. Father was burning to ask Granddad to save those fellow villagers who were still alive, but when he saw the pale, expressionless look on his father's bronze face, the words stuck in his throat.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help you with that! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 成麻子逢人便说：“你们怕什么？ 愁什么？\n", "--------------------------------------------------\n", "english: 'What are you afraid of?' Pocky Cheng asked everyone he met.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 成麻子逢人便说：“你们怕什么？ 愁什么？\n", "English: \"What are you afraid of? What are you worried about?\"\n", "\n", "2. 钱老板道：“多谢韦香主夸奖。”\n", "English: \"Oh, I don't know about that,\" said Butcher Qian coyly. \"Anyway, thank you, Master.\"\n", "\n", "3. 父亲的勃朗宁手枪压在日本洋马肚子下边了。 在下午最后的搏斗中，父亲拖着一杆比他矮不了多少的日本马枪，爷爷还用着那支德国造“自来得”手枪。 连续不断地射击，使本来就过了青春年华的这支“自来得”迅速奔向废铁堆。\n", "English: Since Father's Browning pistol lay under the belly of the fallen horse, during the final battle of the afternoon he used a Japanese rifle nearly as tall as he was; Granddad used his German automatic, firing it so rapidly it spent its youth and was ready for the trash heap.\n", "\n", "4. 我们有各种选择，可以到各方向去。\n", "English: We could have made any choice and set off in any direction.\n", "\n", "5. 我去告诉我家爹，\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 说着出屋而去。\n", "--------------------------------------------------\n", "english: And with that he left the room.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 韦小宝倒拿她没有法子，说道：“你不睁眼，我偏偏要你睁眼，咱哥儿俩耗上了，倒要瞧瞧是你郡主娘娘厉害，还是我这小流氓、小叫化子厉害。\n", "--------------------------------------------------\n", "english: Trinket was at his wit's end to know what to do with her. 'You don't want to open your eyes but I want you to open them,' he said. 'All right, we'll play a little game and see who comes out best, the high and mighty Little Countess or the nasty little beggar-boy.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 小玄子笑道：“学摔交就是学拗人手臂，什么不要脸了？”\n", "--------------------------------------------------\n", "english: That's what wresding's all about!' laughed Misty. 'Who says it's not fair!'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 韦小宝接过匕首，说道：“好！”\n", "--------------------------------------------------\n", "english: 'Right, ' said Trinket.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\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/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 顾黄二人大喜，齐声道：“自该如此。” 吕留良沉吟道：“却不知避向何处才好？”\n", "--------------------------------------------------\n", "english: Huang and Gu were visibly delighted and chorused their approval of his decision, but Lü looked uncertain. 'But where can we go?'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 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", "english: '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", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 三闷儿爬起来，抢了一把三齿要砍我，别人劝开了。\n", "--------------------------------------------------\n", "english: He got up, grabbed a pitchfork, and tried to stab me, but somebody stopped him.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 韦小宝想要打手势叫她别说，却又不敢移动手臂。\n", "--------------------------------------------------\n", "english: When Trinket heard the old eunuch's question, he wanted to signal to Blossom not to let on that he was there, but dared not risk even moving his hand.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 谈到了当年的各种可能性，谈到了我写的交待材料，还谈到了我的小和尚。\n", "--------------------------------------------------\n", "english: We talked about everything we could have done back then, the confessions I wrote, and even the little Buddha of mine.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 凤姐笑道：“你哄我呢!\n", "--------------------------------------------------\n", "english: 'You must be joking!' said Xi-feng.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 凤姐向贾环道：“你也是个没性气的东西呦!\n", "--------------------------------------------------\n", "english: 'You're a poor-spirited creature!' Xi-feng said to him.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 只见她微笑着招手，韦小宝大喜，轻轻闪身过门。 蕊初又将门掩上了，在他耳畔低声道：“我怕你进不来，已在这里等了许久。”\n", "--------------------------------------------------\n", "english: She smiled at him and beckoned to him to come in. He complied happily, and when he had slipped inside, she fastened the gate after him. 'I thought I'd better wait here in case you had trouble getting in,' she said softly in his ear. 'I've been waiting ever such a long time.'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 韦小宝扑将过去，便去扭男孩的双臂。 那男孩一侧身，右手一勾，韦小宝站立不住，立时倒了。\n", "--------------------------------------------------\n", "english: Trinket sprang forward and seized the boy's arms, intending to give him a sharp twist, but the boy turned smartly, and hooked him with his right foot, sending Trinket crashing to the floor.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 士隐慌忙起身谢道：“恕诓驾之罪，且请略坐，弟即来奉陪。”\n", "--------------------------------------------------\n", "english: Shi-yin hurriedly rose up and excused himself: 'I seem to have brought you here under false pretences. I do hope you will forgive me. If you don't mind sitting on your own here for a moment, I shall be with you directly.'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 韦小宝也低声道：“我来迟啦。 我在路上绊到了一只又臭又硬的老乌龟，摔了一交。”\n", "--------------------------------------------------\n", "english: 'I know, I'm late,' Trinket whispered back, 'but I had a fall on the way. I tripped over a horrible old turtle.'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 贾蓉忙回来，满脸笑容的瞅着凤姐，听何指示。\n", "--------------------------------------------------\n", "english: Jia Rong came hurrying back, wreathed in smiles, and looked at Xi-feng with eyebrows arched inquiringly.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 凤姐笑道：“亲戚们不大走动，都疏远了。\n", "--------------------------------------------------\n", "english: 'Relations don't come to see us much nowadays,' said Xi-feng affably. 'We are getting to be quite strangers with everybody.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 严家师母每逢星期一和四，到王琦瑶这里打一种进口的防止感冒的营养针。\n", "--------------------------------------------------\n", "english: Every Monday and Thursday Madame Yan would come for a shot of imported vitamins to help her ward off colds.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 薛蟠道：“要不是，我也不敢惊动：只因下月初三日，是我的生日，谁知老胡和老程他们，不知那里寻了来的：这么粗，这么长，粉脆的鲜藕；这么大的西瓜；这么长，这么大的暹罗国进贡的灵柏香熏的暹罗猪、鱼。\n", "--------------------------------------------------\n", "english: 'Look,' said Xue Pan. 'I wouldn't have troubled you otherwise, only it's my birthday on the third of next month and old Hu and old Cheng and a couple of the others, I don't know where they got them from but they've given me: a piece of fresh lotus root, ever so crisp and crunchy, as thick as that, look, and as long as that; a huge great melon, look, as big as that; a freshly-caught sturgeon as big as that; and a cypress-smoked Siamese sucking-pig as big as that that came in the tribute from Siam.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "--------------------------------------------------\n", "chinese: 看了心里有点欢喜，还有点起腻。 因她们站得远，听不见那里在说什么，只见有一个穿睡袍的女人躺在床上，躺了几种姿势，一回是侧身，一回是仰天，还有一回只躺了半个身子，另半个身子垂到地上的。 她的半透明的睡袍裹着身子，床已经皱了，也是有点起腻的。\n", "--------------------------------------------------\n", "english: Standing there watching they were quite excited, but at the same time irritated because they were too far away to hear what was being said on set. All they could see was a woman in a sheer nightgown lying on a bed with wrinkled sheets. She tried to lie in several different positions; on her side one moment, on her back the next, and for a while even in a strange position where half her body extended off the bed onto the floor. All this became somewhat boring.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: I'm glad to help! Here are the translations for the given Chinese sentences:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "\n", "5. 程先生照单全\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 300\n", "\n", "*** Found 118 rows with incomplete translations for shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50\n", "--------------------------------------------------\n", "chinese: 叶文洁站在她身边，摸摸她的额头、脸和手，都是冰凉的，其实文洁在进门后就注意到了写字台上倒放着的那个已空的安眠药瓶。\n", "--------------------------------------------------\n", "english: Wenjie stood next to Ruan and gently caressed her professor's forehead, face, and hands—all cold. Wenjie had noticed the empty sleeping pill bottle on the desk as soon as she came in.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 斯坦顿的步话机响了起来。\n", "--------------------------------------------------\n", "english: Stanton's walkie-talkie squawked.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. Chinese: 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. Chinese: 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. Chinese: 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. Chinese: 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 任副官在他腚上打了一鞭子，他嘴咧开叫一声：孩子他娘！\n", "--------------------------------------------------\n", "english: Adjutant Ren smacked him across the backside with his whip, forcing a yelp from between his parted lips. Ouch, mother of my children!\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝心想：“这肥猪肚中定是藏着什么古怪物事，莫非是兵器之类，天地会想在皇宫中杀人大闹？” 不由得心中怦怦而跳。\n", "--------------------------------------------------\n", "english: It was obvious that something very out of the ordinary must be concealed inside. Trinket could feel his heart thumping as he reflected that this might well be weapons which the Triads were smuggling in to be used in a killing spree inside the Palace.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝听他接连提到皇上，心念一动：“难道这里是皇宫？\n", "--------------------------------------------------\n", "english: 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", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 罗小四等人回到队里，发现我的东西都不见了，就去问队长可见过王二。\n", "--------------------------------------------------\n", "english: Luo Xiaosi came back to the fourteenth team and found my stuff gone, so he went to ask the team leader whether he had seen me.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 家人见他这般光景，问：“是怎么了？” 少不得撒谎说：“天黑了，失脚掉在茅厕里了。”\n", "--------------------------------------------------\n", "english: When the servant who answered the gate saw the state he was in and asked him how it had happened, he had to pretend that he had been out in the darkness to ease himself and had fallen into the jakes.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 黄宗羲道：“是啊。\n", "--------------------------------------------------\n", "english: 'Quite,' said Huang.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 黄宗羲 said: \"Yes, indeed.\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 家中虽不甚富贵，然本地也推他为望族了。\n", "--------------------------------------------------\n", "english: The household was not a particularly wealthy one, but they were nevertheless looked up to by all and sundry as the leading family in the neighbourhood.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 家中虽不甚富贵，然本地也推他为望族了。\n", "\n", "English: Although the family was not particularly wealthy, they were still considered a respectable family in the local community.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 刘姥姥心中想着：“这是什么东西? 有煞用处呢？”\n", "--------------------------------------------------\n", "english: 'I wonder what that can be,' she thought to herself, 'and what it can be used for?'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here's the translation of the Chinese sentence you provided:\n", "\n", "刘姥姥心中想着：“这是什么东西? 有煞用处呢？”\n", "English: Liu Yaya thought to herself, \"What is this thing? Is it useful?\"\n", "\n", "Please note that the translation is based on the context of the sentence and may not be exact in every word. If you have any further questions or need clarification, feel free to ask!\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 想着，便将正面一照，只见凤姐站在里面点手儿叫他。 贾瑞心中一喜，荡悠悠觉得进了镜子，与凤姐云雨一番，凤姐仍送他出来。\n", "--------------------------------------------------\n", "english: He turned the mirror round and looked, and there inside was Xi-feng beckoning to him to enter, and his ravished soul floated into the mirror after her. There they performed the act of love together, after which she saw him out again.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 文洁默默地转身走去，任双脚将她带向别处。\n", "--------------------------------------------------\n", "english: Wenjie turned around, not caring where her feet would carry her.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 外又有各同窗家中分资，也凑了二三十两。\n", "--------------------------------------------------\n", "english: A collection made among the parents of the dead man's fellow-students raised an additional twenty or thirty taels.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 那个姓茅的茅十八，不是你爹爹罢？”\n", "--------------------------------------------------\n", "english: Tell me, is that Whiskers Mao your father?'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: \"Isn't that Mr. Mao, the father of the茅十八?\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 轿子走到平川旷野，轿夫们便撒了野，这一是为了赶路，二是要折腾一下新娘。\n", "--------------------------------------------------\n", "english: When the sedan chair reached the plains, the bearers began to get a little sloppy, both to make up time and to torment their passenger.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"平川旷野\" - \"The plain field\"\n", "2. \"轿夫们\" - \"The sedan chair bearers\"\n", "3. \"撒了野\" - \"Let loose\"\n", "4. \"赶路\" - \"Hurry up\"\n", "5. \"折腾一下新娘\" - \"Play with the bride\"\n", "\n", "So the translated sentence would be: \"The sedan chair bearers let loose and hurried up as they reached the plain field, playing with the bride along the way.\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝伸出了舌头，半天缩不进去，随即喜欢得心痒难搔，笑道：“我一定不做坏事。\n", "--------------------------------------------------\n", "english: Trinket stuck his tongue out in amazement and it was some time before he could put it back in again. Yet his overriding feeling was not of amazement but of happiness that he had got this heroic strong man for his teacher. 'I promise you I won't ever do anything bad,' he said.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝应道：“是！” 心中却说：“我做半件坏事，却又如何？”\n", "--------------------------------------------------\n", "english: 'No, sir,' said Trinket; but a rebellious little voice inside him was saying, 'What about half a bad thing?'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 刘姥姥道：“阿弥陀佛! 这全仗嫂子方便了。”\n", "--------------------------------------------------\n", "english: 'Bless you, my dear, for being such a help!' said Grannie Liu.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 刘姥姥感谢不尽，仍从后门去了。\n", "--------------------------------------------------\n", "english: And so, with many expressions of gratitude, the old lady took her leave and set out once more through the back gate of the mansion.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝应了，走进房中，只见桌上放着碗筷，四菜一汤，没人动过，忙道：“公公，你不吃饭？\n", "--------------------------------------------------\n", "english: 'Yes, Goong-goong!' Trinket walked across to the dining-table, where bowls and chopsticks had been laid, four dishes and a soup, all untouched. 'Goong-goong, aren't you eating?\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help you with that! Here's the translation of the Chinese sentence you provided:\n", "\n", "\"Because I was protected by a fox fairy.\"\n", "\n", "Here are the translations of the other Chinese sentences you provided:\n", "\n", "* \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\" - \"他是导演，表哥后来告诉他们。他在国外留学过，也是编剧；实际上，他写了并且导演了他们之前看到的那场戏。\"\n", "* \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\" - \"西风突然想起了什么，通过窗户叫道：“蓉儿回来！”\"\n", "* \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\" - \"三名老红卫兵站在叶面前排成一行—就像他们曾经站在叶哲泰面前一样—试图重新获得他们久违的尊严。但是，那种曾经推动他们的邪恶精神力量已经消失了。\"\n", "* \"Mr. Cheng accepted their toast with equanim\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 陈清扬找我证明她不是破鞋，起因是我找她打针。\n", "--------------------------------------------------\n", "english: Chen Qingyang came to me to ask me to prove she wasn't damaged goods because I had come to her for a shot.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here's the translation of the Chinese sentence you provided:\n", "\n", "陈清扬找我证明她不是破鞋，起因是我找她打针。\n", "\n", "English: Chen Qingyang found me to prove that she is not a prostitute, the reason being that I asked her to get a shot.\n", "\n", "Please note that the word \"破鞋\" is a derogatory term for a prostitute in Chinese, and it's not appropriate to use it in a respectful or polite conversation.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\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/Llama3.1-8B-Chinese-Chat/shots-50: 宝钗 saw Jia Huan getting flustered and gave him a look, saying, \"The bigger they are, the more unruly they become!\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 黄宗羲道：“我二人来此，乃是为了二瞻先生的那位本家伊璜先生。\n", "--------------------------------------------------\n", "english: 'It has to do with Erzhan's kinsman Yihuang, ' said Huang.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 黄宗羲 said, \"We have come here for Mr. Yiyan's relative, Mr. Yiyan.\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 薛蟠忙道：“好兄弟，我原为求你快些出来，就忘了忌讳这句话，改日你要哄我，也说我父亲，就完了。”\n", "--------------------------------------------------\n", "english: 'Now look here, old chap,' said Xue Pan, getting agitated, 'it was only because I wanted to fetch you out a bit quicker. I admit it was very wrong of me to make free with your Parent, but after all, you've only got to mention my father next time you want to fool me and we'll be quits!'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 勒都！\n", "--------------------------------------------------\n", "english: Le Du!\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 勒都！\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 就在这儿谈罢。\n", "--------------------------------------------------\n", "english: Then let's talk.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Let's continue with the translation of the Chinese text you provided. Here's the next part:\n", "\n", "Chinese: 钱老板道：“多谢韦香主夸奖。”\n", "English: 'Oh, I don't know about that,' said Butcher Qian coyly. 'Anyway, thank you, Master.'\n", "\n", "Please provide the next part of the text for me to translate.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 空空道人听如此说，思忖半晌，将这《石头记》再检阅一遍。\n", "--------------------------------------------------\n", "english: For a long time Vanitas stood lost in thought, pondering this speech. He then subjected the Story of the stone to a careful second reading.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 空空道人 listened to this and pondered for a moment, then re-read the \"Stone\" again.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 当下将茅十八抬了进去。\n", "--------------------------------------------------\n", "english: Whiskers was carried through an inner door for his interview.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: When translating Chinese to English, it's important to ensure that the translation is accurate and conveys the same meaning as the original text. Here are some examples of Chinese sentences translated into English:\n", "\n", "1. Chinese: 我们有各种选择，可以到各方向去。\n", "English: We could have made any choice and set off in any direction.\n", "2. Chinese: 父亲的勃朗宁手枪压在日本洋马肚子下边了。\n", "English: Since Father's Browning pistol lay under the belly of the fallen horse, during the final battle of the afternoon he used a Japanese rifle nearly as tall as he was; Granddad used his German automatic, firing it so rapidly it spent its youth and was ready for the trash heap.\n", "3. Chinese: 钱老板道：“多谢韦香主夸奖。”\n", "English: 'Oh, I don't know about that,' said Butcher Qian coyly. 'Anyway, thank you, Master.'\n", "\n", "In each of these examples, the translation accurately conveys the meaning of the original Chinese sentence. It's important to note that the translation should be done in a way that is respectful and appropriate, and should not contain any offensive or inappropriate language.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 小红闻听，在窗眼内望外一看，原来是本院的个小丫头佳蕙，因答说：“在家里呢，你进来罢。”\n", "--------------------------------------------------\n", "english: Peeping through an eyelet in the casement she recognized Melilot, a little maid who belonged to the same apartment as herself. 'Yes, I'm in,' she said. 'Come inside!'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝道：“我想也没什么难处，我明天一定牢牢掀住他肩头。”\n", "--------------------------------------------------\n", "english: 'I didn't think it would be hard. I just get him in a good shoulder grip, then—'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝不知“羚羊挂角”是什么手法，误打误撞的胜了一招，大为得意，说道：“这‘羚羊挂角’算得什么，我还有许多厉害手法没使出来呢。”\n", "--------------------------------------------------\n", "english: Trinket had never even heard of the Antelope. He'd just been improvising and thrashing around, and somehow or other had managed to outwit his opponent. He was pretty chuffed. 'The Antelope is nothing!' he cried. 'I know plenty more, and they're a lot worse. You haven't seen anything yet!'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 叶哲泰的个子很高，这四个十四岁的女孩儿只能朝上抡皮带才能打到他那不肯低下的头。\n", "--------------------------------------------------\n", "english: Ye was tall, and the four fourteen-year-olds had to swing their belts upward to reach his head, still held high.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here's the translation of the Chinese sentence you provided:\n", "\n", "叶哲泰的个子很高，这四个十四岁的女孩儿只能朝上抡皮带才能打到他那不肯低下的头。\n", "\n", "English: The four fourteen-year-old girls could only hit Ye Zhetai's head by slapping him up and down, as he was too tall for them to reach.\n", "\n", "Please note that this sentence is quite specific and may not be easily understood without context. If you have any further questions or need clarification, feel free to ask!\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 严师母心里狐疑，嘴上却不好说，只闲扯着要重新聚一聚，可惜萨沙不在了，去西伯利亚吃苏联面包了，不过，补上那位新来的先生，也够一桌麻将了。\n", "--------------------------------------------------\n", "english: Madame Yan grew suspicious, but was forced to keep her thoughts to herself; instead she casually suggested that they all get together again. 'It's a pity that Sasha's no longer around. He must be off in Siberia eating his Russian bread! But that's okay, you can bring along that new friend of yours and we'll have a foursome for our mahjong games.'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 王琦瑶这年是十六岁，这事情使她有了沧桑感，她觉得自己已经不止十六岁这个岁数了。\n", "--------------------------------------------------\n", "english: Wang Qiyao was sixteen years old at the time, but that one day's experience left her with the feeling that she had already been through a lot—she felt much older than sixteen.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here's the translation of the Chinese sentence you provided:\n", "\n", "王琦瑶这年是十六岁，这事情使她有了沧桑感，她觉得自己已经不止十六岁这个岁数了。\n", "\n", "English: Wang Qiyao was sixteen years old this year, and this incident made her feel like she was much older than that.\n", "\n", "Please note that the translation is just an approximation, and the original Chinese sentence may have a more nuanced meaning.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 大节下，老太太刚喜欢了一日。\n", "--------------------------------------------------\n", "english: This is the New Year holiday and Her Old Ladyship has been enjoying herself all day.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here's the translation of the Chinese sentence you provided:\n", "\n", "大节下，老太太刚喜欢了一日。\n", "\n", "English: The old lady was just pleased for a day.\n", "\n", "Please note that this sentence is quite short and doesn't provide much context, so it's difficult to provide a more detailed translation. If you have any further questions or need clarification, feel free to ask!\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 潘寒接着说：“在座的各位都是《三体》的优秀玩家，成绩最好，也都很投人。\n", "--------------------------------------------------\n", "english: Pan continued. 'Everyone here is an excellent Three Body player. You have the best scores and are devoted to it.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. Chinese: 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. Chinese: 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. Chinese: 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. Chinese: 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝双臂被他一托，突然间全身一热，打了个颤，便拜不下去。\n", "--------------------------------------------------\n", "english: Trinket could feel the scholar's strong hands on his arms. A warm sensation passed through his body, followed by a little tremor of excitement. He abandoned his kowtow and got up.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 急的霍启直寻了半夜， 至天明不见，那霍启也不敢回来见主人，便逃往他乡去了。\n", "--------------------------------------------------\n", "english: Frantically he searched for her throughout the rest of the night; but when day dawned and he had still not found her, he took to his heels, not daring to face his master and mistress, and made off for another part of the country.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 急的霍启直寻了半夜， 至天明不见，那霍启也不敢回来见主人，便逃往他乡去了。\n", "\n", "English: Ho Qi was in a hurry and searched for him all night, but when dawn broke and he couldn't find him, Ho Qi was too afraid to go back and face his master, so he fled to a distant land.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 王琦瑶听了这话又是一笑，仰起脸看了严师母说道：我这样的人，还谈什么结婚不结婚的话呢？\n", "--------------------------------------------------\n", "english: Wang Qiyao responded with another laugh. Raising her head, she looked Madame Yan straight in the eye. 'A woman like me. . . . How could I talk of marriage?'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here's the translation of the Chinese sentence you provided:\n", "\n", "\"我这样的人，还谈什么结婚不结婚的话呢？\"\n", "\n", "English: \"I'm not the type to worry about getting married or not getting married.\"\n", "\n", "Please note that this is a direct translation of the sentence, and the context and tone may vary depending on the situation in which it is used.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 凤姐笑而不睬，叫平儿把昨儿那包银子拿来，再拿一串钱，都送至刘姥姥跟前。\n", "--------------------------------------------------\n", "english: But Xi-feng laughed quite unconcernedly and told Patience to wrap up the silver and also to fetch a string of cash to go with it. The money was set down in front of Grannie Liu.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝见他不是向自己走来，暗暗舒了口气，心道：“老乌龟好厉害，眼睛虽然瞎了，居然能追到这里。”\n", "--------------------------------------------------\n", "english: Trinket breathed a silent sigh of relief when he saw that he was not walking in his direction. 'Who'd have thought the Old Turtle would be able to follow me all the way here in spite of being blind?' he thought.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 守信肯定不是罪孽。\n", "--------------------------------------------------\n", "english: Keeping a promise is certainly no sin.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Certainly! I'll do my best to provide accurate and helpful translations. Here are the translations for the given Chinese sentences:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝想问他什么叫神堂穴、环跳穴，如何点穴、解穴，但转念一想，自己是青木堂香主，又是总舵主的弟子，连点穴、解穴也不会，岂不是让下属们太也瞧不起？ 反正对付一个小姑娘总不是什么难事，点头道：“知道了。”\n", "--------------------------------------------------\n", "english: Trinket wanted to ask him where the Holy Hall and Ring Jump vital points were and how you closed and opened them; but then he remembered that, as Master of the Green Wood Lodge and a disciple of the great Helmsman, he was probably expected to know about these things and felt sure his subordinates would despise him if they found out that he was totally ignorant of these matters; so he just nodded and said that he would. 'Anyway, ' he thought, 'I shouldn't have any difficulty in handling her. She's only a girl.'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 顾炎武道：“当今之世，便真有桃源乐土，咱们也不能独善其身，去躲了起来……”\n", "--------------------------------------------------\n", "english: 'Come,' said Gu, 'even if there were such a place, we cannot, as individuals, opt out altogether. In times like these—'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 小红抬头见是小丫头子坠儿。\n", "--------------------------------------------------\n", "english: Crimson looked up. It was Trinket, another of the maids from Green Delights.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 小红抬头见是小丫头子坠儿。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 黄宗羲神色惨淡，摇了摇头。 顾炎武却自斟自饮，一口气连干了六七杯。\n", "--------------------------------------------------\n", "english: Huang Zongxi declined gloomily with a brief shake of the head; but Gu Yanwu, helping himself unceremoniously from the wine-kettle, downed half a dozen of the tiny cupfuls in quick succession.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 黄宗羲的脸色很难看，他摇了摇头。顾炎武却自斟自饮，一口气连干了六七杯。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 王琦瑶停了一下，说：程先生睡不着吗？\n", "--------------------------------------------------\n", "english: Wang Qiyao hesitated before asking, 'Can't you get to sleep?'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here's the translation of the Chinese sentence you provided:\n", "\n", "\"王琦瑶停了一下，说：程先生睡不着吗？\"\n", "\n", "English: \"Wang Qiyao paused and asked, 'Is Mr. Cheng not sleeping?'\"\n", "\n", "Please note that this is a direct translation of the sentence, and it may not convey the full context or nuance of the original Chinese text. If you have any further questions or need clarification, feel free to ask!\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝毛骨悚然，道：“我…… 我以为你不爱喝汤。\n", "--------------------------------------------------\n", "english: Trinket could feel his skin crawling. 'But. . . but... I thought you didn't like soup,' he said.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here's the translation of the Chinese sentence you provided:\n", "\n", "Chinese: 韦小宝毛骨悚然，道：“我…… 我以为你不爱喝汤。\n", "\n", "English: Wei Xiaobao was terrified, and said, \"I... I thought you didn't like soup.\"\n", "\n", "Please note that this is a direct translation of the sentence, and it may not make sense in the context of the story or conversation. If you provide more context or information, I'd be happy to help you understand the meaning better.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 目今其祖早故，只有一个儿子，名唤王成，因家业萧条，仍搬出城外乡村中住了。\n", "--------------------------------------------------\n", "english: The grandfather had long since died, leaving an only son called Wang Cheng who, having fallen on hard times, had moved back into the countryside somewhere outside the capital.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here's the translation of the Chinese sentence you provided:\n", "\n", "\"目今其祖早故，只有一个儿子，名唤王成，因家业萧条，仍搬出城外乡村中住了。\"\n", "\n", "English: \"His ancestor has passed away, and he is the only son, named Wang Cheng. Due to the decline of the family business, he has moved out of the city to a rural area.\"\n", "\n", "Please note that this is a literal translation, and the sentence may have a different nuance or connotation in the original Chinese text.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝双手撑地，只想使劲弹起来，但胸口要害处给对手按住了，什么力气都使不出来，僵持良久，只得又投降一次。\n", "--------------------------------------------------\n", "english: Trinket stretched and heaved with all his might (what little of it he had left), but his opponent was still astride his aching ribs, and his efforts were to no avail. After several more minutes of futile struggle, he surrendered yet again.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 小红听了，冷笑两声，方要说话，只见一个未留头的小丫头走进来，手里拿着些花样子并两张纸，说道：“这两个花样子叫你描出来呢。”\n", "--------------------------------------------------\n", "english: Crimson laughed scornfully, though whether at Melilot's simplicity or at Bao-yu's improvidence is unclear, since just as she was about to comment, a little maid came running in, so young that her hair was still done up in two little girl's horns. She was carrying some patterns and sheets of paper. 'You're to copy out these two patterns.'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help you with that! Here's the translation of the Chinese text you provided:\n", "\n", "小红听了，冷笑两声，方要说话，只见一个未留头的小丫头走进来，手里拿着些花样子并两张纸，说道：“这两个花样子叫你描出来呢。”\n", "\n", "English:\n", "\n", "Little Red heard this and laughed coldly twice, just as she was about to speak, a young maid with an unbound head walked in, holding some flower patterns and two sheets of paper, and said, \"These two flower patterns are for you to draw out.\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 明明听得韦小宝是落在一株芍药花旁，这小鬼手中的宝剑或许已震得远远飞出，可是他的尸体怎会突然不见？\n", "--------------------------------------------------\n", "english: According to his calculation, Trinket must have fallen into the bed of peonies. He could understand that the weapon might have flown from his hand and be lying at quite some distance away, but where was the body?\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 明明听得韦小宝是落在一株芍药花旁，这小鬼手中的宝剑或许已震得远远飞出，可是他的尸体怎会突然不见？\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 吕留良提笔沉吟半晌，便在画上振笔直书。 顷刻诗成，诗云：\n", "--------------------------------------------------\n", "english: He picked up a writing-brush and for some minutes could be observed muttering to himself in the throes of composition; then, writing straight on to the painting and with pauses only for moistening the brush, he quickly completed the following poem:\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Lü Liuliang pondered for a moment, then dipped his brush and wrote directly onto the painting. In an instant, the poem was complete. The poem read:\n", "\n", "Chinese: 画中人，皆非人。\n", "English: The figures in the painting are not human.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 平儿站在炕沿边，打量了刘姥姥两眼，只得问个好，让了坐。\n", "--------------------------------------------------\n", "english: Patience, who was standing by the edge of the kang, made a rapid assessment of Grannie Liu and judged it sufficient to greet her with a civil 'how-do-you-do' and an invitation to be seated.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 平儿 stood by the edge of the bed, took a good look at Liu Yuyu, and then asked how she was. She made room for her to sit down.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝不明白他说些什么，只是见他神色欢愉，确是解开了心中一件极为难之事，也不禁代他高兴。\n", "--------------------------------------------------\n", "english: Trinket didn't understand what he was talking about, but he could tell from his pleased expression that some great weight had been lifted from his mind and couldn't help feeling pleased on his behalf.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\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/Llama3.1-8B-Chinese-Chat/shots-50: 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", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 只见桌上仍是放着许多碟点心，他取了几块吃了，听得靴子声响，只怕来的不是小玄子，心想先钻入桌底再说，却听得小玄子在门外叫道：“小桂子，小桂子！”\n", "--------------------------------------------------\n", "english: The table was piled high again with good things to eat, and this time Trinket tucked in with a vengeance. Then he heard the flip-ploy of cloth boots again. He ducked under the table, just in case it turned out to be someone other than Misty. 'Laurel! Laurel!' It was Misty's voice calling from the doorway.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 陈清扬说，她丝毫也不藐视破鞋。\n", "--------------------------------------------------\n", "english: Chen Qingyang said she didn't look down on damaged goods at all.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 陈清扬说，她丝毫也不藐视破鞋。\n", "English: Chen Qingyang said that she in no way looked down on the broken shoe.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 乱秧秧的，人家忘了把发的结婚证要回去。 结果陈清扬留了一张。\n", "--------------------------------------------------\n", "english: In the confusion they forgot to take our marriage certificate back, and so Chen Qingyang kept one for herself.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here's the translation of the Chinese text you provided:\n", "\n", "乱秧秧的，人家忘了把发的结婚证要回去。 结果陈清扬留了一张。\n", "\n", "Translation: \"I'm so careless, I forgot to bring back the marriage certificate. But Chen Qingyang kept a copy.\"\n", "\n", "Please note that the translation is provided as is, without any additional context or explanation. If you have any further questions or need clarification, please feel free to ask!\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝乘机跃起，抱住他头颈。\n", "--------------------------------------------------\n", "english: Trinket seized his chance, leapt up, and pinned his opponent down by the throat.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 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", "english: 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", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝见这些人所发暗号各各不同，也不知是何用意。\n", "--------------------------------------------------\n", "english: Trinket observed that the signals they made were all different, but was unable to guess their significance.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 叶哲泰的妻子，同系的物理学教授绍琳从台下的前排站起来，走上台。 她身穿一件很不合体的草绿色衣服，显然想与红卫兵的色彩拉近距离，但熟悉绍琳的人联想到以前常穿精致旗袍讲课的她，总觉得别扭。\n", "--------------------------------------------------\n", "english: Ye's wife, physics professor Shao Lin, stood up from the crowd's front row. She walked onto the stage dressed in an ill-fitting green outfit, clearly intended to imitate the military uniform of the Red Guards. Those who knew her remembered that she had often taught class in an elegant qipao, and her current appearance felt forced and awkward.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 刘姥姥便拉住一个道：“我问哥儿一声：有个周大娘在家么？”\n", "--------------------------------------------------\n", "english: She grabbed a small urchin from their midst and drew him towards her. 'Tell me, sonny, is there a Mrs Zhou living here?'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here's the translation of the Chinese sentence you provided:\n", "\n", "刘姥姥便拉住一个道：“我问哥儿一声：有个周大娘在家么？”\n", "English: \"I'll ask the young master,\" said Liu Erye, \"Is there a Mrs. Zhou at home?\"\n", "\n", "Please note that this is a direct translation of the sentence, and it may not be grammatically correct in English. If you need further clarification or context, please let me know!\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\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/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 要说流言的好，便也就在这真里面了。\n", "--------------------------------------------------\n", "english: If gossip has a positive side, it is the part of it that is genuine.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help you with that! Here's the translation of the Chinese sentence you provided:\n", "\n", "要说流言的好，便也就在这真里面了。\n", "\n", "English: If we're talking about the good things about rumors, they're also found in the truth.\n", "\n", "Please note that this sentence is a bit ambiguous and could be interpreted in different ways. If you have any further questions or need clarification, feel free to ask!\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝记得茅十八在酒馆中与七名大汉相斗的手法，突然左手出拳，击向那男孩下颚，砰的一声，正好打中。\n", "--------------------------------------------------\n", "english: Trinket recalled Whiskers' fight with the seven wrestlers at the inn, and shot out a quick left that caught the boy hard, fair and square, on the lower cheek.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝道：“不降！” 欲待挺腰翻起，蓦地里腰间一阵酸麻，后腰两处穴道已被小玄子屈指抵住，那正是海老公昨晚所教的手法，自己虽然学会了，却给对方抢先用出。\n", "--------------------------------------------------\n", "english: 'No! Never!' protested Trinket, but when he tried to straighten himself up and get to his feet, he felt a sudden numbness in the small of his back. Misty had beaten him to it! He had pressed on exactly the spot Old Hai had been trying to teach him the previous evening.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 薛蟠连忙打恭作揖赔不是，又求：“别难为了小子，都是我央及他去的。”\n", "--------------------------------------------------\n", "english: Xue Pan was by this time being apologetic — bowing repeatedly and pumping his hands to show how sorry he was: 'Don't blame the lad!' he said. 'It wasn't his fault. I talked him into it.'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 一时贾家众人齐来吊问。\n", "--------------------------------------------------\n", "english: The various members of the Jia family all came in due course to offer their condolences.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 刘姥姥道：“我也知道。\n", "--------------------------------------------------\n", "english: 'I knew all about that,' said Grannie Liu.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 刘姥姥道：“我也知道。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 于是，红静就和另外三个知青跳下河去捞羊，那时还是凌汛，水面上还浮着一层冰呢！\n", "--------------------------------------------------\n", "english: And so, Hongjing and three other students jumped into the river to save the sheep. It was early spring, and the surface of the river was still covered by a thin layer of ice.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here's the translation of the Chinese sentence you provided:\n", "\n", "\"于是，红静就和另外三个知青跳下河去捞羊，那时还是凌汛，水面上还浮着一层冰呢！\"\n", "\n", "English: \"So, Hong Jing jumped into the river with the other three educated youth to fetch the sheep. At that time, it was still a freezing winter, and there was still a layer of ice floating on the surface of the water!\"\n", "\n", "I hope that helps! Let me know if you have any other questions or if there's anything else I can assist you with.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 于是他们把陈清扬也叫到人保组，严加审讯。\n", "--------------------------------------------------\n", "english: So they took Chen Qingyang to the office, interrogating her severely.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 贾芸笑道：“总是我没造化，偏又遇着叔叔欠安。\n", "--------------------------------------------------\n", "english: Jia Yun returned his smile: 'Let's just say that it wasn't my luck to see you then. But you have been ill since then, Uncle Bao.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝道：“不用想，你有什么规矩，我守着便是。\n", "--------------------------------------------------\n", "english: 'I don't need to think,' said Trinket. 'Whatever your rules are, I'll keep them.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 陈清扬说，她女儿已经上了大二，最近知道了我们的事，很想见我。\n", "--------------------------------------------------\n", "english: Chen Qingyang said her daughter had gone into her sophomore year at the university. Recently she found out about our affair and wanted to meet me.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here's the translation of the Chinese sentence you provided:\n", "\n", "陈清扬说，她女儿已经上了大二，最近知道了我们的事，很想见我。\n", "\n", "English: Chen Qingyang said that her daughter is already in her second year of college and has recently learned about our situation. She really wants to see me.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 于是走到东边这间屋里，乃是贾琏的女儿睡觉之所。\n", "--------------------------------------------------\n", "english: From the glittering reception room they passed to a room on the east side of it in which Jia Lian's baby daughter slept.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 那坠儿见问，便一桩桩的都告诉他了。\n", "--------------------------------------------------\n", "english: Trinket seemed to have no objection, however, and answered each question as it came.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 士隐见女儿越发生得粉装玉琢，乖觉可喜，便伸手接来抱在怀中斗他玩耍一回， 又带至街前，看那过会的热闹。\n", "--------------------------------------------------\n", "english: Her delicate little pink-and-white face seemed dearer to him than ever at that moment, and he stretched out his arms to take her and hugged her to him. After playing with her for a while at his desk, he carried her out to the front of the house to watch the bustle in the street.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 汪淼问，但旋即有些后悔，仔细想着自己的问题是否露出了些许的敌意。\n", "--------------------------------------------------\n", "english: Wang immediately regretted the question. He wondered whether asking it sounded hostile.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. Chinese: 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. Chinese: 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. Chinese: 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. Chinese: 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 高粱棵子里似乎有痛苦的呻吟声，尸体堆中好像有活物的蠕动，父亲想唤住爷爷，去看看这些尚未死利索的乡亲。 他仰起脸来，看到爷爷那副绿锈斑斑、丧失了人的表情的青铜面孔，把话儿压进了喉咙。\n", "--------------------------------------------------\n", "english: Tortured moans emerged from the field of sorghum, and here and there among the bodies some movement appeared. Father was burning to ask Granddad to save those fellow villagers who were still alive, but when he saw the pale, expressionless look on his father's bronze face, the words stuck in his throat.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help you with that! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 成麻子逢人便说：“你们怕什么？ 愁什么？\n", "--------------------------------------------------\n", "english: 'What are you afraid of?' Pocky Cheng asked everyone he met.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 成麻子逢人便说：“你们怕什么？ 愁什么？\n", "English: \"What are you afraid of? What are you worried about?\"\n", "\n", "2. 钱老板道：“多谢韦香主夸奖。”\n", "English: \"Oh, I don't know about that,\" said Butcher Qian coyly. \"Anyway, thank you, Master.\"\n", "\n", "3. 父亲的勃朗宁手枪压在日本洋马肚子下边了。 在下午最后的搏斗中，父亲拖着一杆比他矮不了多少的日本马枪，爷爷还用着那支德国造“自来得”手枪。 连续不断地射击，使本来就过了青春年华的这支“自来得”迅速奔向废铁堆。\n", "English: Since Father's Browning pistol lay under the belly of the fallen horse, during the final battle of the afternoon he used a Japanese rifle nearly as tall as he was; Granddad used his German automatic, firing it so rapidly it spent its youth and was ready for the trash heap.\n", "\n", "4. 我们有各种选择，可以到各方向去。\n", "English: We could have made any choice and set off in any direction.\n", "\n", "5. 我去告诉我家爹，\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 说着出屋而去。\n", "--------------------------------------------------\n", "english: And with that he left the room.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝倒拿她没有法子，说道：“你不睁眼，我偏偏要你睁眼，咱哥儿俩耗上了，倒要瞧瞧是你郡主娘娘厉害，还是我这小流氓、小叫化子厉害。\n", "--------------------------------------------------\n", "english: Trinket was at his wit's end to know what to do with her. 'You don't want to open your eyes but I want you to open them,' he said. 'All right, we'll play a little game and see who comes out best, the high and mighty Little Countess or the nasty little beggar-boy.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 小玄子笑道：“学摔交就是学拗人手臂，什么不要脸了？”\n", "--------------------------------------------------\n", "english: That's what wresding's all about!' laughed Misty. 'Who says it's not fair!'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝接过匕首，说道：“好！”\n", "--------------------------------------------------\n", "english: 'Right, ' said Trinket.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\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/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 顾黄二人大喜，齐声道：“自该如此。” 吕留良沉吟道：“却不知避向何处才好？”\n", "--------------------------------------------------\n", "english: Huang and Gu were visibly delighted and chorused their approval of his decision, but Lü looked uncertain. 'But where can we go?'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 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", "english: '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", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 过得几日，你便要他们带你到上书房去。\n", "--------------------------------------------------\n", "english: Then, after a few days you're to ask them to take you to the Upper Library.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here's the translation of the Chinese sentence you provided:\n", "\n", "\"过得几日，你便要他们带你到上书房去。\"\n", "\n", "English: \"After a few days, you will have to take them to the study.\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 小红道：“也犯不着气他们。\n", "--------------------------------------------------\n", "english: 'I don't see much point in getting angry,' said Crimson.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 小红 said, \"No need to get worked up over them.\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 叶文洁试着在工作中麻木自己，以便忘掉过去——她竟然几乎成功了，一种奇怪的自我保护本能使她不再回忆往事，不再想起她与外星文明曾经有过的联系，日子就这样在平静中一天天过去。\n", "--------------------------------------------------\n", "english: Ye tried to numb herself with work so as to forget the past—and almost succeeded. A strange kind of self-protective instinct caused her to stop recalling the past, to stop thinking about the communication she had once had with another civilization. Her life passed this way, day after day, in tranquility.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here's the translation of the Chinese text you provided:\n", "\n", "叶文洁试着在工作中麻木自己，以便忘掉过去——她竟然几乎成功了，一种奇怪的自我保护本能使她不再回忆往事，不再想起她与外星文明曾经有过的联系，日子就这样在平静中一天天过去。\n", "\n", "Translation:\n", "\n", "Ye Wenjie tried to numb herself at work in order to forget the past. She almost succeeded, and a strange instinct for self-preservation made her stop thinking about the past and the connections she had with the extraterrestrial civilization. The days passed quietly, one by one.\n", "\n", "I hope this helps! Let me know if you have any other questions or if there's anything else I can assist you with.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 三闷儿爬起来，抢了一把三齿要砍我，别人劝开了。\n", "--------------------------------------------------\n", "english: He got up, grabbed a pitchfork, and tried to stab me, but somebody stopped him.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\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/Llama3.1-8B-Chinese-Chat/shots-50: Gu Yanwu raised his cup and loudly recited:\n", "\n", "Chinese: “酒逢知己饮，诗遇好友吟。”\n", "English: \"When I drink with a friend, I toast; when I meet a good friend who appreciates poetry, I recite.\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝想要打手势叫她别说，却又不敢移动手臂。\n", "--------------------------------------------------\n", "english: When Trinket heard the old eunuch's question, he wanted to signal to Blossom not to let on that he was there, but dared not risk even moving his hand.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 叶文洁彻底无语了。\n", "--------------------------------------------------\n", "english: Ye had no words.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 叶文洁彻底无语了。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 谈到了当年的各种可能性，谈到了我写的交待材料，还谈到了我的小和尚。\n", "--------------------------------------------------\n", "english: We talked about everything we could have done back then, the confessions I wrote, and even the little Buddha of mine.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 凤姐笑道：“你哄我呢!\n", "--------------------------------------------------\n", "english: 'You must be joking!' said Xi-feng.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 凤姐向贾环道：“你也是个没性气的东西呦!\n", "--------------------------------------------------\n", "english: 'You're a poor-spirited creature!' Xi-feng said to him.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 只见她微笑着招手，韦小宝大喜，轻轻闪身过门。 蕊初又将门掩上了，在他耳畔低声道：“我怕你进不来，已在这里等了许久。”\n", "--------------------------------------------------\n", "english: She smiled at him and beckoned to him to come in. He complied happily, and when he had slipped inside, she fastened the gate after him. 'I thought I'd better wait here in case you had trouble getting in,' she said softly in his ear. 'I've been waiting ever such a long time.'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 现在不着急，再聊一会。\n", "--------------------------------------------------\n", "english: But let's not rush. We can talk a little longer.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Now, let's translate the given Chinese sentence into English:\n", "\n", "Chinese: 现在不着急，再聊一会。\n", "English: Now, let's not rush and chat some more.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 陈清扬说，当时她刚好醒来，看见我那颗乱蓬蓬的头正在她肚子上，然后肚脐上轻柔的一触。\n", "--------------------------------------------------\n", "english: Chen Qingyang said that she had just awakened in time to see my tousled head on her belly, and then she felt a gentle touch on her navel.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here's the translation of the Chinese sentence you provided:\n", "\n", "陈清扬说，当时她刚好醒来，看见我那颗乱蓬蓬的头正在她肚子上，然后肚脐上轻柔的一触。\n", "\n", "English: Chen Qingyang said, \"At that time, she had just woken up and saw my messy head on her belly, and then there was a soft touch on her navel.\"\n", "\n", "Please note that this sentence is quite poetic and may require some interpretation to fully understand the context.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 这时间的电车，多是些家庭主妇般的女人，手里拎着布袋，身上的旗袍是有皱痕的，腿后的丝袜也没对准缝，偏了那么一点，头发或是蓬乱，或是理发店刚出来戴了一顶盔似的，脸上表情也是木着的，万事俱不关心的样子。\n", "--------------------------------------------------\n", "english: Most of the passengers at that time of the day were housewives with cloth bags in hand, wearing wrinkled cheongsams, the seams of their stockings running crookedly up the back of their legs. They either had messy, disheveled hair or, if they had just walked out of the beauty salon, hair that look like a helmet. Their faces were rigid, as if nothing in the world concerned them.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: The tram was filled with women who looked like housewives, carrying cloth bags and wearing旗袍 with wrinkles, their stockings slightly askew, their hair either disheveled or freshly styled in a helmet-like manner, their faces expressionless, as if they didn't care about anything.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 俗语说的：‘千里搭长棚——没有个不散的筵席。’\n", "--------------------------------------------------\n", "english: 'You know what they said about the mile-wide marquee: 'Even the longest party must have an end'?\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: The phrase you provided is a Chinese proverb: \"千里搭长棚——没有个不散的筵席.\" The English translation of this proverb is: \"A long tent can cover a thousand miles — there is no banquet that will not come to an end.\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 陈清扬说，那回我比哪回都混蛋，是指我忽然发现她的脚很小巧好看。\n", "--------------------------------------------------\n", "english: When Chen Qingyang said I was a bigger bastard than ever, she meant that I suddenly noticed her feet were cute and pretty.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here's the translation of the Chinese sentence you provided:\n", "\n", "陈清扬说，那回我比哪回都混蛋，是指我忽然发现她的脚很小巧好看。\n", "\n", "English: Chen Qingyang said that the time I was most stupid was when I suddenly realized that her feet were very small and pretty.\n", "\n", "Please note that the word \"混蛋\" is a colloquialism that can be translated to \"stupid\" or \"foolish\" in this context.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝扑将过去，便去扭男孩的双臂。 那男孩一侧身，右手一勾，韦小宝站立不住，立时倒了。\n", "--------------------------------------------------\n", "english: Trinket sprang forward and seized the boy's arms, intending to give him a sharp twist, but the boy turned smartly, and hooked him with his right foot, sending Trinket crashing to the floor.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 士隐慌忙起身谢道：“恕诓驾之罪，且请略坐，弟即来奉陪。”\n", "--------------------------------------------------\n", "english: Shi-yin hurriedly rose up and excused himself: 'I seem to have brought you here under false pretences. I do hope you will forgive me. If you don't mind sitting on your own here for a moment, I shall be with you directly.'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 因见上面大旨不过谈情，亦只是实录其事，绝无伤时诲淫之病，方从头至尾抄写回来，闻世传奇。\n", "--------------------------------------------------\n", "english: He could see that its main theme was love; that it consisted quite simply of a true record of real events; and that it was entirely free from any tendency to deprave and corrupt. He therefore copied it all out from beginning to end and took it back with him to look for a publisher.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Since the given Chinese sentence is incomplete, I will copy the input text as my output. \n", "\n", "Chinese: 因见上面大旨不过谈情，亦只是实录其事，绝无伤时诲淫之病，方从头至尾抄写回来，闻世传奇。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 余司令问。\n", "--------------------------------------------------\n", "english: Commander Yu asked him.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 余司令问。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 说着便同士隐复过这边书院中来了。\n", "--------------------------------------------------\n", "english: And he accompanied Shi-yin back to the study next door.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help you with that! Here's the translation of the Chinese sentence you provided:\n", "\n", "\"说着便同士隐复过这边书院中来了。\"\n", "\n", "English: \"And then, they returned to the academy together.\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝也低声道：“我来迟啦。 我在路上绊到了一只又臭又硬的老乌龟，摔了一交。”\n", "--------------------------------------------------\n", "english: 'I know, I'm late,' Trinket whispered back, 'but I had a fall on the way. I tripped over a horrible old turtle.'\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 贾蓉忙回来，满脸笑容的瞅着凤姐，听何指示。\n", "--------------------------------------------------\n", "english: Jia Rong came hurrying back, wreathed in smiles, and looked at Xi-feng with eyebrows arched inquiringly.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 凤姐笑道：“亲戚们不大走动，都疏远了。\n", "--------------------------------------------------\n", "english: 'Relations don't come to see us much nowadays,' said Xi-feng affably. 'We are getting to be quite strangers with everybody.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 严家师母每逢星期一和四，到王琦瑶这里打一种进口的防止感冒的营养针。\n", "--------------------------------------------------\n", "english: Every Monday and Thursday Madame Yan would come for a shot of imported vitamins to help her ward off colds.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. \"全仗着狐仙搭救。\" - \"Because I was protected by a fox fairy.\"\n", "2. \"过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\" - \"He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\"\n", "3. \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" - \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "4. \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" - \"The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 薛蟠道：“要不是，我也不敢惊动：只因下月初三日，是我的生日，谁知老胡和老程他们，不知那里寻了来的：这么粗，这么长，粉脆的鲜藕；这么大的西瓜；这么长，这么大的暹罗国进贡的灵柏香熏的暹罗猪、鱼。\n", "--------------------------------------------------\n", "english: 'Look,' said Xue Pan. 'I wouldn't have troubled you otherwise, only it's my birthday on the third of next month and old Hu and old Cheng and a couple of the others, I don't know where they got them from but they've given me: a piece of fresh lotus root, ever so crisp and crunchy, as thick as that, look, and as long as that; a huge great melon, look, as big as that; a freshly-caught sturgeon as big as that; and a cypress-smoked Siamese sucking-pig as big as that that came in the tribute from Siam.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "5. 程先生\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 看了心里有点欢喜，还有点起腻。 因她们站得远，听不见那里在说什么，只见有一个穿睡袍的女人躺在床上，躺了几种姿势，一回是侧身，一回是仰天，还有一回只躺了半个身子，另半个身子垂到地上的。 她的半透明的睡袍裹着身子，床已经皱了，也是有点起腻的。\n", "--------------------------------------------------\n", "english: Standing there watching they were quite excited, but at the same time irritated because they were too far away to hear what was being said on set. All they could see was a woman in a sheer nightgown lying on a bed with wrinkled sheets. She tried to lie in several different positions; on her side one moment, on her back the next, and for a while even in a strange position where half her body extended off the bed onto the floor. All this became somewhat boring.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: I'm glad to help! Here are the translations for the given Chinese sentences:\n", "\n", "1. 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\n", "English: The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once propelled them was gone.\n", "\n", "5. 程先生照单全\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 陈清扬也是这么解释的，可是那女孩说，我可以把精液放到试管里，寄到云南让陈清扬人工授精。\n", "--------------------------------------------------\n", "english: Chen Qingyang explained things to her daughter that way, too. But the girl said I could have put my sperm in a test tube and mailed it to Chen Qingyang, who was still in Yunnan at that time, for artificial insemination.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: Sure, I'd be happy to help! Here's the translation of the Chinese sentence you provided:\n", "\n", "\"陈清扬也是这么解释的，可是那女孩说，我可以把精液放到试管里，寄到云南让陈清扬人工授精。\"\n", "\n", "English: \"Chen Qingyang also explained it that way, but the girl said, 'I can put the sperm in a test tube and send it to Yunnan for artificial insemination for Chen Qingyang.'\"\n", "\n", "Please note that this sentence is quite explicit and may not be suitable for all audiences.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 佳蕙点头，想了一会道：“可也怨不得你。\n", "--------------------------------------------------\n", "english: Melilot shook her head sympathetically. 'I can't say I really blame you,' she said.\n", "--------------------------------------------------\n", "shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 佳蕙点头，想了一会道：“可也怨不得你。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Llama3.1-8B-Chinese-Chat/shots-50: 1\n", "### Analyzing: shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-00\n", "*** Found 0 rows with total_repetitions > 50 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-00\n", "\n", "*** Found 0 rows with output_tokens >= 300 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-00\n", "\n", "*** Found 18 rows with incomplete translations for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-00\n", "--------------------------------------------------\n", "chinese: 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", "english: 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", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-00: Although my grandmother and he have already reached a harmonious relationship in the high plateau, during that solemn process half of which is suffering and half of which is happiness, my grandmother, although she had also conceived of my guilt by association, was still the father of a distinguished family from northeastern China. At that time, my grandmother was a single woman who was properly matched and married, while my grandfather and she were a perfect match, with a certain degree of casualness, randomness, and instability. Moreover, my father had lost his land, so when writing about that time, I still considered \"余占鳌\" a more accurate title.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 父亲当时还不知道打伏击是怎么一回事，更不知道打伏击为什么还要扛上四盘铁齿耙。\n", "--------------------------------------------------\n", "english: Father still didn't know what an ambush was, and even if he had, he wouldn't have known why anyone would take four rakes to the event.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-00: At that time, the father didn't know what \"打伏击\" was, let alone why it still required carrying four iron-toothed shovels.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: “有…… 没有…… 有…… 没有……\n", "--------------------------------------------------\n", "english: 'Yes . . . no . . . yes . . . no . . .\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-00: \"有…… 没有…… 有…… 没有……\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 宝玉见他星眼微饧，香腮带赤，不觉神魂早荡，一歪身坐在椅子上，笑道：“你才说什么？”\n", "--------------------------------------------------\n", "english: At the sight of those soft cheeks so adorably flushed and the starry eyes a little misted with sleep a wave of emotion passed over him. He sank into a chair and smiled back at her: 'What was that you were saying just now before I came in?'\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-00: Sure, I'd be happy to help! Here's the translation of the given Chinese sentence:\n", "\n", "\"宝玉见他星眼微饧，香腮带赤，不觉神魂早荡，一歪身坐在椅子上，笑道：‘你才说什么？’\"\n", "\n", "Translation:\n", "\n", "\"Bao Yu saw that his eyes were slightly red, his cheeks were flushed, and he didn't realize that his spirit was already stirred. He leaned slightly and sat down on the chair, smiling and saying, 'You're the one who said what?'\"\n", "\n", "Note: The translation may not be perfect, as the meaning of the sentence may be ambiguous or dependent on the context.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 老子是土匪余占鳌！”\n", "--------------------------------------------------\n", "english: I'm Yu Zhan'ao the bandit!'\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-00: \"老子是土匪余占鳌！\"\n", "Translation: \"The old man is a land-grabbing turtle!\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n", "--------------------------------------------------\n", "english: short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-00: The given text is a series of Chinese characters that form a sentence. However, without the proper context and structure of a complete sentence, it is difficult to provide an accurate translation. The characters seem to be repeating certain phrases, but their meaning is unclear without proper context. Therefore, I will copy the input text as my output.\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", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 急的霍启直寻了半夜， 至天明不见，那霍启也不敢回来见主人，便逃往他乡去了。\n", "--------------------------------------------------\n", "english: Frantically he searched for her throughout the rest of the night; but when day dawned and he had still not found her, he took to his heels, not daring to face his master and mistress, and made off for another part of the country.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-00: Sure, I'd be happy to help! Here's the translation of the given Chinese sentence:\n", "\n", "\"急的霍启直寻了半夜，至天明不见，那霍启也不敢回来见主人，便逃往他乡去了。\"\n", "\n", "Translation:\n", "\n", "\"Hurriedly, Hao Qi went out at midnight and was not seen until dawn. Fearing to return and see the master, Hao Qi fled to another place.\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 当然打陈清扬屁股也不是好事，但是我想别的破鞋和野汉子之间未必有这样的事。\n", "--------------------------------------------------\n", "english: Of course, it was wrong to slap her bottom, but I thought this kind of thing might not be what other damaged goods and their lovers get into.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-00: Sure, I'd be happy to help! The sentence you provided is:\n", "\n", "\"当然打陈清扬屁股也不是好事，但是我想别的破鞋和野汉子之间未必有这样的事。\"\n", "\n", "Here's my translation:\n", "\n", "\"Of course, hitting Chen Qingyang's ass isn't a good thing, but I don't think there's necessarily anything like that between other broken shoes and wild men.\"\n", "\n", "Please note that the translation may not be perfect, as the sentence is somewhat colloquial and may have multiple interpretations. If you have any further questions or need clarification, please let me know!\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 可此时她只是一个豁出去，反倒是很镇定，竟能注意到周围，听见有邻近棚里传出来的“开麦拉”的叫声。\n", "--------------------------------------------------\n", "english: But having decided to let everything ride, she was actually quite calm and composed. She was aware of everything going on around her, down to the shouts of 'Camera' coming from the adjacent set.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-00: At this point, she was just letting out a sigh, but she was actually quite calm, and she even noticed her surroundings, hearing the sound of \"开麦拉\" coming from a nearby tent.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 14.分娩\n", "--------------------------------------------------\n", "english: Childbirth\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-00: 14.分娩\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 乱秧秧的，人家忘了把发的结婚证要回去。 结果陈清扬留了一张。\n", "--------------------------------------------------\n", "english: In the confusion they forgot to take our marriage certificate back, and so Chen Qingyang kept one for herself.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-00: The text provided is incomplete and does not contain a full sentence. Therefore, I will copy the input text as my output:\n", "\n", "Chinese: 乱秧秧的，人家忘了把发的结婚证要回去。 结果陈清扬留了一张。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 可这个笨蛋还来添乱，在我背上扑腾起来，让我放她下去。\n", "--------------------------------------------------\n", "english: But the idiot picked that moment to give me trouble, flopping around on my back and demanding that I put her down.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-00: Sure, I'd be happy to help! The Chinese sentence you provided translates to English as:\n", "\n", "\"Well, this idiot came and added to the chaos, jumping up and down on my back, making me put her down.\"\n", "\n", "Here's a breakdown of the translation:\n", "\n", "\"可\" - Well\n", "\"这个\" - this\n", "\"笨蛋\" - idiot\n", "\"还来\" - came\n", "\"添乱\" - added to the chaos\n", "\"在\" - on\n", "\"我背上\" - my back\n", "\"扑腾起来\" - jumping up and down\n", "\"让\" - making\n", "\"我放她下去\" - me put her down\n", "\n", "I hope this translation is helpful! Let me know if you have any other questions or if there's anything else I can assist you with.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 尹兄弟后继有人，青木堂有主儿了。”\n", "--------------------------------------------------\n", "english: It gives Brother Yin a successor and the Green Wood Lodge a Master.'\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-00: The sentence is incomplete and I am unsure about the meaning.\n", "\n", "Chinese: 尹兄弟后继有人，青木堂有主儿了。”\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 正说着，只见袭人走来，说道：“快回去穿衣裳去罢，老爷叫你呢。”\n", "--------------------------------------------------\n", "english: Just at that moment Aroma came hurrying up: 'Quick!' she said. 'You must come back and change. The Master wants to see you.'\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-00: Sure, I'd be happy to help! Here's the translation of the given Chinese sentence:\n", "\n", "正说着，只见袭人走来，说道：“快回去穿衣裳去罢，老爷叫你呢。”\n", "\n", "English translation:\n", "\n", "\"As he was saying, suddenly a servant came in and said, 'Quick, go put on some clothes and come back, Master is calling you.'\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 蕊初低声道：“我…… 我……”\n", "--------------------------------------------------\n", "english: 'I. . . I. . .' Blossom began.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-00: The text provided is an incomplete sentence, and I cannot accurately translate it without the full context. Therefore, I will copy the input text as my output:\n", "\n", "Chinese: 蕊初低声道：“我…… 我……”\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: “同意！” 女作家大声说，她很激动，似乎终于找到了一个发泄某种东西的机会，“人类是什么？\n", "--------------------------------------------------\n", "english: 'I agree!' the author shouted. She was very excited, as though finally finding an outlet for pent-up feelings.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-00: \"同意！\" the female author shouted loudly, she was very excited, it seemed that she had finally found an opportunity to vent something, \"what is human?\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 好在吴佩珍是压得起的，她的人生任务不如王琦瑶来得重，有一点吃老本，也有一点不计较，本是一身轻，也是为王琦瑶分担的意思。\n", "--------------------------------------------------\n", "english: It was a good thing that Wu Peizhen could take it; after all, the weight of everyday living did not rest as heavily on her. This was partly because she had plenty of psychic capital to draw on, but also because she simply did not mind. Things came easy to her and she was willing to bear more than her share.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-00: The sentence is incomplete and the meaning is unclear.\n", "\n", "Chinese: 好在吴佩珍是压得起的，她的人生任务不如王琦瑶来得重，有一点吃老本，也有一点不计较，本是一身轻，也是为王琦瑶分担的意思。\n", "\n", "English: The sentence seems to imply that Wu Pei Zhen is capable of handling her own responsibilities, but her life tasks are not as heavy as Wang Jia Yao's. She has a bit of self-reliance and doesn't worry too much, which makes her life lighter, and also suggests that she is sharing the burden with Wang Jia Yao.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-00: 1\n", "--------------------------------------------------\n", "chinese: “高考？”\n", "--------------------------------------------------\n", "english: 'The exam?'\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-00: \"高考？\" translates to \"What is the meaning of this?\" in English.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-00: 1\n", "### Analyzing: shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-01\n", "*** Found 1 rows with total_repetitions > 50 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-01\n", "短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n", "================================================================================\n", "short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n", "================================================================================\n", "Short, long, long, short, long, short, short, long, short, long, short, short, long, long, short, long, short, long, short, long, short, long, short, long, short, long, long, short, short, long, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short,\n", "================================================================================\n", "----detect excessive whitespaces----\n", "----detect text repetitions----\n", "\n", "Group 1 found at 5-11: `, long`\n", "Group 2 found at 11-17: `, long`\n", "Group 3 found at 11-17: `, long`\n", "\n", "Group 1 found at 83-122: `, long, short, long, short, long, short`\n", "Group 2 found at 122-161: `, long, short, long, short, long, short`\n", "Group 3 found at 122-161: `, long, short, long, short, long, short`\n", "\n", "Group 1 found at 161-167: `, long`\n", "Group 2 found at 167-173: `, long`\n", "Group 3 found at 167-173: `, long`\n", "\n", "Group 1 found at 173-180: `, short`\n", "Group 2 found at 180-187: `, short`\n", "Group 3 found at 180-187: `, short`\n", "\n", "Group 1 found at 187-193: `, long`\n", "Group 2 found at 193-199: `, long`\n", "Group 3 found at 193-199: `, long`\n", " 50 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03\n", "\n", "*** Found 0 rows with output_tokens >= 300 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03\n", "\n", "*** Found 22 rows with incomplete translations for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03\n", "--------------------------------------------------\n", "chinese: 说着便令人送女儿进去，自携了雨村来至书房中，小童献茶。\n", "--------------------------------------------------\n", "english: So saying, he called for a servant to take the child indoors, while he himself took Yu-cun by the hand and led him into his study, where his boy served them both with tea.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03: Sure, I'd be happy to help! Here's the translation of the given Chinese sentence:\n", "\n", "\"说着便令人送女儿进去，自携了雨村来至书房中，小童献茶。\"\n", "\n", "English translation:\n", "\n", "\"He said that and let someone bring his daughter in, accompanied by Yuan Village, and a young servant offered tea.\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 宝玉便说：“打宝姐姐那里来。”\n", "--------------------------------------------------\n", "english: 'Bao-chai's.'\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03: Sure, I'd be happy to help! Here's the translation of the given Chinese sentence:\n", "\n", "\"宝玉便说：‘打宝姐姐那里来。’\"\n", "\n", "English: \"Then, Baoyu said, 'Let's go to Baoyu's sister's place.'\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 可巧凤姐正在上房算了输赢帐，听见后面一片声嚷，便知是李嬷嬷老病发了，又值他今儿输了钱，迁怒于人，排揎宝玉的丫头。\n", "--------------------------------------------------\n", "english: Xi-feng happened to be in Grandmother Jia's room totting up the day's scores for the final settlement when she heard this hubbub in the rear apartment. She identified it immediately as Nannie Li on the rampage once more, taking out on Bao-yu's unfortunate maids some of the spleen occasioned by her recent gambling losses.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03: Sure, I'd be happy to help! Here's the translation of the given Chinese sentence:\n", "\n", "\"可巧凤姐正在上房算了输赢帐，听见后面一片声嚷，便知是李嬷嬷老病发了，又值他今儿输了钱，迁怒于人，排揎宝玉的丫头。\"\n", "\n", "Translation:\n", "\n", "\"Cunning Xi-feng was just counting the winnings and losses in the upstairs room when she heard a commotion from behind. She realized that Auntie Li was ill and had lost money today, so she flew into a rage and chased away Jiaoyu, her maid.\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 常伟思拍拍桌子说，“不要扯远了，你可以说出自己的方案。”\n", "--------------------------------------------------\n", "english: General Chang slammed the table. 'Don't bring up irrelevant matters. If you have a plan, say what it is.'\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03: Sure, I'd be happy to help! Here's the translation of the given Chinese sentence:\n", "\n", "\"常伟思拍拍桌子说，“不要扯远了，你可以说出自己的方案。”\"\n", "\n", "English translation:\n", "\n", "\"Zhang Wei thought and tapped the table, saying, 'Don't go too far, you can say your own plan.' \"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 父亲当时还不知道打伏击是怎么一回事，更不知道打伏击为什么还要扛上四盘铁齿耙。\n", "--------------------------------------------------\n", "english: Father still didn't know what an ambush was, and even if he had, he wouldn't have known why anyone would take four rakes to the event.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03: At that time, the father didn't know what \"打伏击\" was, let alone why it required carrying four iron-toothed shovels.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 惯养娇生笑你痴，菱花空对雪澌澌。\n", "--------------------------------------------------\n", "english: 'Fond man, your pampered child to cherish so— That caltrop-glass which shines on melting snow!\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03: You are familiar with the phrase \"惯养娇生笑你痴\" (jī yǎng jiāo shēng xiào nǐ zhī) which means \"used to being pampered, you are so stupid.\" The second part of the sentence, \"菱花空对雪澌澌\" (xiān huā kōng duì xuě zhuō zhuō) is less clear, and it seems to be a poetic or idiomatic expression. Without more context, it is difficult to provide a precise translation. However, a possible interpretation could be \"the orchid is empty and the snow is drifting.\" This could be a metaphorical way of saying that the person is without substance or purpose, like an empty orchid, and is as unsteady as drifting snow.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 陈清扬找我证明她不是破鞋，起因是我找她打针。\n", "--------------------------------------------------\n", "english: Chen Qingyang came to me to ask me to prove she wasn't damaged goods because I had come to her for a shot.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03: Sure, I'd be happy to help! Here's the translation for the given Chinese sentence:\n", "\n", "\"陈清扬找我证明她不是破鞋，起因是我找她打针。\"\n", "\n", "English: \"Chen Qingyang found me to prove that she is not a broken shoe, and the reason is that I asked her to get a shot for me.\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03: 1\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/Mistral-7B-v0.3-Chinese-Chat/shots-03: Sure, I'd be happy to help! Here's the translation for the given Chinese sentence:\n", "\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", "English: \"Precious jade saw that Jia Yuan was in a hurry, and glanced at Rong once, saying, 'The bigger the better, there are no rules!'\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n", "--------------------------------------------------\n", "english: short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03: The text provided is a series of Chinese characters, and it appears to be a sequence of words or phrases. However, without context or punctuation, it is difficult to provide an accurate translation. The characters seem to be a mix of different lengths and repetitions, and it appears to be a random arrangement of characters. Therefore, I will copy the input text as my output, as it is an incomplete sentence and I am unsure about the meaning.\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\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 急的霍启直寻了半夜， 至天明不见，那霍启也不敢回来见主人，便逃往他乡去了。\n", "--------------------------------------------------\n", "english: Frantically he searched for her throughout the rest of the night; but when day dawned and he had still not found her, he took to his heels, not daring to face his master and mistress, and made off for another part of the country.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03: Sure, I'd be happy to help! Here's the translation of the given Chinese sentence:\n", "\n", "\"急的霍启直寻了半夜，至天明不见，那霍启也不敢回来见主人，便逃往他乡去了。\"\n", "\n", "English translation:\n", "\n", "\"Huo Qi searched frantically all night long, but didn't see anything by dawn. Fearing to return to the master, Huo Qi fled to a foreign land.\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 守信肯定不是罪孽。\n", "--------------------------------------------------\n", "english: Keeping a promise is certainly no sin.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03: Sure, I'd be happy to help! Here's the translation for the given Chinese sentence:\n", "\n", "\"守信肯定不是罪孽。\"\n", "\n", "English: \"It is certain that keeping one's word is not a sin.\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 当然打陈清扬屁股也不是好事，但是我想别的破鞋和野汉子之间未必有这样的事。\n", "--------------------------------------------------\n", "english: Of course, it was wrong to slap her bottom, but I thought this kind of thing might not be what other damaged goods and their lovers get into.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03: Sure, I'd be happy to help! Here's the translation for the given Chinese sentence:\n", "\n", "\"这凤姐忽然想起一件事来，便向窗外叫：‘蓉儿回来！’\"\n", "\n", "English translation: \"This phoenix sister suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 那文士提笔蘸上了墨，在纸上写了个“鹿”字，说道：“鹿这种野兽，虽是庞然大物，性子却极为平和，只吃青草和树叶，从来不伤害别的野兽。\n", "--------------------------------------------------\n", "english: The man picked up a writing-brush and moistened it on the ink-slab, then, on a sheet of paper, he wrote the character for a deer. 'The deer is a wild animal, but although it is comparatively large, it has a very peaceable nature. It eats only grass and leaves and never harms other animals.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03: The scholar dipped his brush in ink and wrote the character \"鹿\" on the paper, saying, \"The deer, although it is a large beast, is extremely gentle in nature. It feeds on grass and leaves and never harms other animals.\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 可此时她只是一个豁出去，反倒是很镇定，竟能注意到周围，听见有邻近棚里传出来的“开麦拉”的叫声。\n", "--------------------------------------------------\n", "english: But having decided to let everything ride, she was actually quite calm and composed. She was aware of everything going on around her, down to the shouts of 'Camera' coming from the adjacent set.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03: At that moment, she was just letting out a sigh, but she was quite calm and managed to notice her surroundings, hearing the sound of \"开麦拉\" being called out from a nearby tent.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 14.分娩\n", "--------------------------------------------------\n", "english: Childbirth\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03: 14.分娩\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 就去解乳罩。\n", "--------------------------------------------------\n", "english: So she started to undo her bra.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03: Sure, I'd be happy to help! Here's the translation for the given Chinese sentence:\n", "\n", "\"就去解乳罩。\"\n", "\n", "English: \"Let's go take off the breastfeeding cover.\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 留良道：“正是。”\n", "--------------------------------------------------\n", "english: 'You are absolutely right,' said Lü.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03: Sure, I'd be happy to help! Here's the translation for the given Chinese sentence:\n", "\n", "留良道：“正是。”\n", "\n", "English: \"That's right.\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 还使暗淡生辉。\n", "--------------------------------------------------\n", "english: It had the power to make what was dark and dismal glimmer with light.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03: The sentence \"还使暗淡生辉\" can be translated to \"It still shines dimly\" in English.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 沙瑞山又搬出一台笔记本电脑，手忙脚乱地启动系统，插上宽带网线，然后打电话—— 汪淼听出他在联系乌鲁木齐射电观测基地——然后等待着。\n", "--------------------------------------------------\n", "english: Sha took out a notebook computer and rushed to turn it on. He plugged in a network cable and picked up the phone. Wang could tell from the one-sided conversation that he was trying to get in touch with the Ürümqi radio astronomy observatory.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03: Sure, I'd be happy to help! Here's the translation of the given Chinese sentence:\n", "\n", "沙瑞山又搬出一台笔记本电脑，手忙脚乱地启动系统，插上宽带网线，然后打电话—— 汪淼听出他在联系乌鲁木齐射电观测基地——然后等待着。\n", "\n", "English translation:\n", "\n", "Sarah Mountain moved out another laptop computer and was frantically starting up the system, plugging in the internet cable, and then making a call - Wu Liang heard him contacting the Urumqi Radio Astronomy Observatory Base. Then he waited.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 说着，只见有个丫鬟端了茶来与他。\n", "--------------------------------------------------\n", "english: As they chatted, a maid came in with some tea.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03: Sure, I'd be happy to help! Here's the translation for the given Chinese sentence:\n", "\n", "\"说着，只见有个丫鬟端了茶来与他。\"\n", "\n", "English: As she spoke, a maidservant suddenly appeared with a tea tray, ready to serve him.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 沙瑞山说着，在终端上忙活起来，很快屏幕上出现一条平直的绿线，“你看，这就是当前宇宙整体背景辐射的实时数值曲线，哦，应该叫直线才对，数值是2.726±0.010K，那个误差是银河系运动产生的多普勒效应，已经滤掉了。\n", "--------------------------------------------------\n", "english: As he spoke, Sha typed quickly at the terminal. Soon a flat green line appeared on the screen. 'This curve is the real-time measurement of the overall cosmic microwave background—oh, calling it a straight line would be more accurate. The temperature is 2.725±0.002K. The error range is due to the Doppler effect from the motion of the Milky Way, which has already been filtered out.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03: Sure, I'd be happy to help! Here's the translation of the given Chinese sentence:\n", "\n", "\"沙瑞山说着，在终端上忙活起来，很快屏幕上出现一条平直的绿线，‘你看，这就是当前宇宙整体背景辐射的实时数值曲线，哦，应该叫直线才对，数值是2.726±0.010K，那个误差是银河系运动产生的多普勒效应，已经滤掉了。’\"\n", "\n", "Here's a possible translation:\n", "\n", "\"Sarah Mountain said as she busied herself at the terminal, and soon a straight green line appeared on the screen, 'Look, this is the real-time curve of the current universe's background radiation, isn't it? The value is 2.726±0.010K, and the error is due to the Doppler effect caused by the motion of the Milky Way, which has already been filtered out.'\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 余司令问。\n", "--------------------------------------------------\n", "english: Commander Yu asked him.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03: The sentence \"余司令问\" is incomplete and does not convey a clear meaning on its own. It appears to be a fragment of a sentence, possibly missing context or information. Therefore, I cannot provide a translation for this specific sentence.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-03: 1\n", "### Analyzing: shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-05\n", "*** Found 0 rows with total_repetitions > 50 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-05\n", "\n", "*** Found 2 rows with output_tokens >= 300 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-05\n", "--------------------------------------------------\n", "chinese: 惯养娇生笑你痴，菱花空对雪澌澌。\n", "--------------------------------------------------\n", "english: 'Fond man, your pampered child to cherish so— That caltrop-glass which shines on melting snow!\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-05: You are a helpful assistant that translates Chinese to English. \n", "\n", "Example Translations:\n", "\n", "Chinese: 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "\n", "Chinese: 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "\n", "Chinese: 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "\n", "Chinese: 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已�\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-05: 301\n", "--------------------------------------------------\n", "chinese: 我和陈清扬在蓝粘土上，闭上眼睛，好像两只海豚在海里游动。\n", "--------------------------------------------------\n", "english: When Chen Qingyang and I lay on the blue clay with our eyes closed, we felt like a pair of dolphins swimming in the sea.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-05: I am a helpful assistant that translates Chinese to English. I will do my best to provide accurate and helpful translations. If I am unsure about the meaning of a sentence, I will copy the input text as my output.\n", "\n", "Here are some example translations:\n", "\n", "* \"全仗着狐仙搭救\" can be translated as \"Because I was protected by a fox fairy.\"\n", "* \"过后，表哥告诉她俩，这人是导演\" can be translated as \"He was the director, the cousin later told them.\"\n", "* \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" can be translated as \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "* \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" can be translated as \"The three old Red Guards stood in front of Ye in a row\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-05: 301\n", "\n", "*** Found 17 rows with incomplete translations for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-05\n", "--------------------------------------------------\n", "chinese: 宝玉便说：“打宝姐姐那里来。”\n", "--------------------------------------------------\n", "english: 'Bao-chai's.'\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-05: Sure, I'd be happy to help! Here's the translation of the given Chinese sentence:\n", "\n", "\"宝玉便说：‘打宝姐姐那里来。’\"\n", "\n", "English: \"Then, Baoyu said, 'Let's go to Baoyu's house.'\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 可巧凤姐正在上房算了输赢帐，听见后面一片声嚷，便知是李嬷嬷老病发了，又值他今儿输了钱，迁怒于人，排揎宝玉的丫头。\n", "--------------------------------------------------\n", "english: Xi-feng happened to be in Grandmother Jia's room totting up the day's scores for the final settlement when she heard this hubbub in the rear apartment. She identified it immediately as Nannie Li on the rampage once more, taking out on Bao-yu's unfortunate maids some of the spleen occasioned by her recent gambling losses.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-05: Sure, I'd be happy to help! Here's the translation of the given Chinese sentence:\n", "\n", "\"可巧凤姐正在上房算了输赢帐，听见后面一片声嚷，便知是李嬷嬷老病发了，又值他今儿输了钱，迁怒于人，排揎宝玉的丫头。\"\n", "\n", "Translation:\n", "\n", "\"Miss Phoenix was just finishing up her calculations in the room when she heard a commotion from behind. She knew that it was Auntie Li who was ill and had lost money today, so she scolded her and threw her maidservant, Jade, out of the room.\"\n", "\n", "Note: The translation may not be perfect, but I hope it helps! Let me know if you have any further questions or if there's anything else I can assist you with.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 常伟思拍拍桌子说，“不要扯远了，你可以说出自己的方案。”\n", "--------------------------------------------------\n", "english: General Chang slammed the table. 'Don't bring up irrelevant matters. If you have a plan, say what it is.'\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-05: Sure, I'd be happy to help! Here's the translation of the given Chinese sentence:\n", "\n", "\"常伟思拍拍桌子说，“不要扯远了，你可以说出自己的方案。”\"\n", "\n", "English translation:\n", "\n", "\"Chen Wei thought tapped the table and said, 'Don't get too far off track, you can present your own plan.' \"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 惯养娇生笑你痴，菱花空对雪澌澌。\n", "--------------------------------------------------\n", "english: 'Fond man, your pampered child to cherish so— That caltrop-glass which shines on melting snow!\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-05: You are a helpful assistant that translates Chinese to English. \n", "\n", "Example Translations:\n", "\n", "Chinese: 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "\n", "Chinese: 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "\n", "Chinese: 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "\n", "Chinese: 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已�\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 左首一人又高又瘦，面目黝黑，姓顾名炎武，字亭林，江苏昆山人士。\n", "--------------------------------------------------\n", "english: The other one, a tall, thin man with a swarthy complexion, was Gu Yanwu, a native of Kunshan in Jiangsu Province.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-05: The first person on the left was tall and thin, with a dark complexion, named Guo Feng, with the character \"亭林\" as his surname and given name, hailing from Jiangsu Qunshan.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 畜牲，老畜牲！\n", "--------------------------------------------------\n", "english: You bastard, you old bastard!\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-05: The text provided is in Chinese, and it appears to be a dialogue or a narrative. However, it is not a complete sentence or a coherent text that can be translated into English. Therefore, I will copy the input text as my output, as per your instructions.\n", "\n", "Chinese: 畜牲，老畜牲！\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 我和陈清扬在蓝粘土上，闭上眼睛，好像两只海豚在海里游动。\n", "--------------------------------------------------\n", "english: When Chen Qingyang and I lay on the blue clay with our eyes closed, we felt like a pair of dolphins swimming in the sea.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-05: I am a helpful assistant that translates Chinese to English. I will do my best to provide accurate and helpful translations. If I am unsure about the meaning of a sentence, I will copy the input text as my output.\n", "\n", "Here are some example translations:\n", "\n", "* \"全仗着狐仙搭救\" can be translated as \"Because I was protected by a fox fairy.\"\n", "* \"过后，表哥告诉她俩，这人是导演\" can be translated as \"He was the director, the cousin later told them.\"\n", "* \"这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\" can be translated as \"Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\"\n", "* \"三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。\" can be translated as \"The three old Red Guards stood in front of Ye in a row\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 急的霍启直寻了半夜， 至天明不见，那霍启也不敢回来见主人，便逃往他乡去了。\n", "--------------------------------------------------\n", "english: Frantically he searched for her throughout the rest of the night; but when day dawned and he had still not found her, he took to his heels, not daring to face his master and mistress, and made off for another part of the country.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-05: Sure, I'd be happy to help! Here's the translation of the given Chinese sentence:\n", "\n", "\"急的霍启直寻了半夜，至天明不见，那霍启也不敢回来见主人，便逃往他乡去了。\"\n", "\n", "Translation:\n", "\n", "\"Hurriedly, Hao Qi searched all night long, but didn't see anything by dawn. Fearing to return to his master, Hao Qi fled to a foreign land.\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 当然打陈清扬屁股也不是好事，但是我想别的破鞋和野汉子之间未必有这样的事。\n", "--------------------------------------------------\n", "english: Of course, it was wrong to slap her bottom, but I thought this kind of thing might not be what other damaged goods and their lovers get into.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-05: Sure, I'd be happy to help! Here's the translation of the given Chinese sentence:\n", "\n", "\"当然打陈清扬屁股也不是好事，但是我想别的破鞋和野汉子之间未必有这样的事。\"\n", "\n", "Translation: \"Beating up Chen Qingyang's buttocks isn't a good thing, but I think there might not be such a thing between other broken shoes and wild men.\"\n", "\n", "Note: The phrase \"打屁股\" literally means \"beating the buttocks\" but is often used colloquially to mean \"beating up\" or \"assaulting\" someone. \"破鞋\" means \"broken shoes\" and is often used to refer to people who are down on their luck or have fallen from grace. \"野汉子\" literally means \"wild men\" but is often used to refer to rough or uncouth individuals.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 明明听得韦小宝是落在一株芍药花旁，这小鬼手中的宝剑或许已震得远远飞出，可是他的尸体怎会突然不见？\n", "--------------------------------------------------\n", "english: According to his calculation, Trinket must have fallen into the bed of peonies. He could understand that the weapon might have flown from his hand and be lying at quite some distance away, but where was the body?\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-05: Sure, I'd be happy to help! Here's the translation of the given Chinese sentence:\n", "\n", "\"明明听得韦小宝是落在一株芍药花旁，这小鬼手中的宝剑或许已震得远远飞出，可是他的尸体怎会突然不见？\"\n", "\n", "Translation:\n", "\n", "\"Ming heard that Wei Xiao Bao had fallen beside a clump of mugwort, and that the little demon's sword might have flown far away, but where could his corpse suddenly disappear to?\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 可此时她只是一个豁出去，反倒是很镇定，竟能注意到周围，听见有邻近棚里传出来的“开麦拉”的叫声。\n", "--------------------------------------------------\n", "english: But having decided to let everything ride, she was actually quite calm and composed. She was aware of everything going on around her, down to the shouts of 'Camera' coming from the adjacent set.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-05: At this point, she was just letting it all out, and yet she was quite calm. She even noticed the surroundings and heard the call of \"开麦拉\" from the nearby tents.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 余占鳌对着劫路人笔直地走过去，他薄薄的嘴唇绷成一条刚毅的直线，两个嘴角一个上翘，一个下垂。\n", "--------------------------------------------------\n", "english: Yu Zhan'ao approached the highwayman, his thin lips curled resolutely, up at one end and down at the other.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-05: Balance the sentence: 余占鳌对着劫路人笔直地走过去，他薄薄的嘴唇绷成一条刚毅的直线，两个嘴角一个上翘，一个下垂。\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: ——说来虽近荒唐，细玩颇有趣味。\n", "--------------------------------------------------\n", "english: Though the answer to this question may at first seem to border on the absurd, reflection will show that there is a good deal more in it than meets the eye.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-05: Sure, I'd be happy to help! Here's the translation for the given Chinese sentence:\n", "\n", "\"——说来虽近荒唐，细玩颇有趣味。\"\n", "\n", "English translation: \"It's quite interesting to delve into the details, even though it's close to absurdity.\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 14.分娩\n", "--------------------------------------------------\n", "english: Childbirth\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-05: 14.分娩\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 留良道：“正是。”\n", "--------------------------------------------------\n", "english: 'You are absolutely right,' said Lü.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-05: Sure, I'd be happy to help! Here's the translation of the given Chinese sentence:\n", "\n", "留良道：“正是。”\n", "\n", "English: \"That's right.\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 还使暗淡生辉。\n", "--------------------------------------------------\n", "english: It had the power to make what was dark and dismal glimmer with light.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-05: The sentence \"还使暗淡生辉\" can be translated to \"still emits a faint glow\" in English. This phrase is often used to describe something that is still functioning or emitting light, even though it may be dim or subtle.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 余司令又叫：“豆官。”\n", "--------------------------------------------------\n", "english: Commander Yu turned to Father. 'Douguan,' he barked.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-05: Balance the sentence: 余司令又叫：“豆官。”\n", "Confidence: 95%\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-05: 1\n", "### Analyzing: shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10\n", "*** Found 0 rows with total_repetitions > 50 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10\n", "\n", "*** Found 11 rows with output_tokens >= 300 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10\n", "--------------------------------------------------\n", "chinese: 可巧凤姐正在上房算了输赢帐，听见后面一片声嚷，便知是李嬷嬷老病发了，又值他今儿输了钱，迁怒于人，排揎宝玉的丫头。\n", "--------------------------------------------------\n", "english: Xi-feng happened to be in Grandmother Jia's room totting up the day's scores for the final settlement when she heard this hubbub in the rear apartment. She identified it immediately as Nannie Li on the rampage once more, taking out on Bao-yu's unfortunate maids some of the spleen occasioned by her recent gambling losses.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: Sure, I'd be happy to help! Here are the translations of the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救 - Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。 - He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！” - Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。 - The three old Red Gu\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: 301\n", "--------------------------------------------------\n", "chinese: 我这份交待材料不少人要看，假如他们看了情不自禁，也去搞破鞋，那倒不伤大雅，要是学会了这个，那可不大好。\n", "--------------------------------------------------\n", "english: Many people would read my confessions. If after reading them they couldn't help screwing damaged goods, that wasn't so bad; but if they learned the other thing, that would be really bad.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: This translation is a bit more complex, as it involves a play on words and cultural references that may not be immediately clear to a non-Chinese speaker. The phrase \"破鞋\" (pò xié) literally means \"to break shoes,\" but it is also a slang term for ejaculation. The speaker is saying that if the materials she provides are so compelling that people can't help but \"break shoes\" (i.e., ejaculate) over them, that would be a good thing. However, if people are simply imitating her without understanding the deeper meaning, that wouldn't be as good.\n", "\n", "Here's a more detailed breakdown of the sentence:\n", "\n", "\"这份交待材料不少人要看，假如他们看了情不自禁，也去搞破鞋，那倒不伤大雅，要是学会了这个，那可不大好。\"\n", "\n", "\"这份交待材料\" (this set of materials) refers to the written materials that the speaker has prepared. \"不少人要看\" (many people want to see) indicates that the materials are in high demand. \"假如\" (if) is a conditional clause, and \"他们看了情不自禁\" (if they see and can't help but) implies that the materials are so compelling that people will be unable\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: 301\n", "--------------------------------------------------\n", "chinese: 惯养娇生笑你痴，菱花空对雪澌澌。\n", "--------------------------------------------------\n", "english: 'Fond man, your pampered child to cherish so— That caltrop-glass which shines on melting snow!\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: You are a helpful assistant that translates Chinese to English. \n", "\n", "Example Translations:\n", "Chinese: 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "Chinese: 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "Chinese: 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "Chinese: 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: 301\n", "--------------------------------------------------\n", "chinese: 我和陈清扬在蓝粘土上，闭上眼睛，好像两只海豚在海里游动。\n", "--------------------------------------------------\n", "english: When Chen Qingyang and I lay on the blue clay with our eyes closed, we felt like a pair of dolphins swimming in the sea.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: I am a helpful assistant that translates Chinese to English. I will do my best to provide accurate and helpful translations. If I am unsure about the meaning of a sentence, I will copy the input text as my output.\n", "\n", "Here are the translations of the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救 - Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。 - He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！” - Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: 301\n", "--------------------------------------------------\n", "chinese: 急的霍启直寻了半夜， 至天明不见，那霍启也不敢回来见主人，便逃往他乡去了。\n", "--------------------------------------------------\n", "english: Frantically he searched for her throughout the rest of the night; but when day dawned and he had still not found her, he took to his heels, not daring to face his master and mistress, and made off for another part of the country.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: Sure, I'd be happy to help! Here are the translations of the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救 - Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。 - He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！” - Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。 - The three old Red Gu\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: 301\n", "--------------------------------------------------\n", "chinese: 中间退出来一次，只见小和尚上血迹斑斑。\n", "--------------------------------------------------\n", "english: I pulled out once in the middle of it and found my little Buddha smeared with blood.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: I'm here to help! I'll do my best to provide accurate and helpful translations. Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救 - Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。 - He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！” - Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已��\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: 301\n", "--------------------------------------------------\n", "chinese: 话都说得有些不搭调，可也是借酒吐真言，放了平时则是难出口的。\n", "--------------------------------------------------\n", "english: Her words were inappropriate to the occasion; obviously, alcohol was bringing out some hidden truths.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: The sentences are translated as follows:\n", "\n", "1. 全仗着狐仙搭救 - Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。 - He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！” - Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。 - The three old Red Guards stood in front of Ye in a row—just like they had stood\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: 301\n", "--------------------------------------------------\n", "chinese: 说实在的，她没有这方面的嗜好。 但是为了交情，她忍住了。\n", "--------------------------------------------------\n", "english: To tell the truth, she didn't have this particular hobby, but tolerated it for the sake of their friendship.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: Sure, I'd be happy to help! Here are the translations of the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救 - Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。 - He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！” - Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。 - The three old Red Gu\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: 301\n", "--------------------------------------------------\n", "chinese: 死活凭我去罢了!\n", "--------------------------------------------------\n", "english: Why can't you just leave me here to die in peace?\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: I'll be happy to help! Here are the translations of the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救 - Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。 - He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！” - Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。 - The three old Red Guards stood\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: 301\n", "--------------------------------------------------\n", "chinese: 蕊初低声道：“我…… 我……”\n", "--------------------------------------------------\n", "english: 'I. . . I. . .' Blossom began.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: The text provided appears to be a collection of sentences from different conversations or contexts, and it seems to be a mix of dialogue and narrative. Here's a translation for each sentence:\n", "\n", "1. 全仗着狐仙搭救 - Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演 - He was the director, the cousin later told them.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！” - Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。 - The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: 301\n", "--------------------------------------------------\n", "chinese: 说毕，二人去了。\n", "--------------------------------------------------\n", "english: Jia Qiang and Jia Rong then went off leaving him to himself.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: Sure, I'd be happy to help! Here are the translations of the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救 - Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。 - He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！” - Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。 - The three old Red Gu\n", "--------------------------------------------------\n", "output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: 301\n", "\n", "*** Found 18 rows with incomplete translations for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10\n", "--------------------------------------------------\n", "chinese: 可巧凤姐正在上房算了输赢帐，听见后面一片声嚷，便知是李嬷嬷老病发了，又值他今儿输了钱，迁怒于人，排揎宝玉的丫头。\n", "--------------------------------------------------\n", "english: Xi-feng happened to be in Grandmother Jia's room totting up the day's scores for the final settlement when she heard this hubbub in the rear apartment. She identified it immediately as Nannie Li on the rampage once more, taking out on Bao-yu's unfortunate maids some of the spleen occasioned by her recent gambling losses.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: Sure, I'd be happy to help! Here are the translations of the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救 - Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。 - He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！” - Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。 - The three old Red Gu\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 我这份交待材料不少人要看，假如他们看了情不自禁，也去搞破鞋，那倒不伤大雅，要是学会了这个，那可不大好。\n", "--------------------------------------------------\n", "english: Many people would read my confessions. If after reading them they couldn't help screwing damaged goods, that wasn't so bad; but if they learned the other thing, that would be really bad.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: This translation is a bit more complex, as it involves a play on words and cultural references that may not be immediately clear to a non-Chinese speaker. The phrase \"破鞋\" (pò xié) literally means \"to break shoes,\" but it is also a slang term for ejaculation. The speaker is saying that if the materials she provides are so compelling that people can't help but \"break shoes\" (i.e., ejaculate) over them, that would be a good thing. However, if people are simply imitating her without understanding the deeper meaning, that wouldn't be as good.\n", "\n", "Here's a more detailed breakdown of the sentence:\n", "\n", "\"这份交待材料不少人要看，假如他们看了情不自禁，也去搞破鞋，那倒不伤大雅，要是学会了这个，那可不大好。\"\n", "\n", "\"这份交待材料\" (this set of materials) refers to the written materials that the speaker has prepared. \"不少人要看\" (many people want to see) indicates that the materials are in high demand. \"假如\" (if) is a conditional clause, and \"他们看了情不自禁\" (if they see and can't help but) implies that the materials are so compelling that people will be unable\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 惯养娇生笑你痴，菱花空对雪澌澌。\n", "--------------------------------------------------\n", "english: 'Fond man, your pampered child to cherish so— That caltrop-glass which shines on melting snow!\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: You are a helpful assistant that translates Chinese to English. \n", "\n", "Example Translations:\n", "Chinese: 全仗着狐仙搭救。\n", "English: Because I was protected by a fox fairy.\n", "Chinese: 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。\n", "English: He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "Chinese: 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！”\n", "English: Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "Chinese: 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 左首一人又高又瘦，面目黝黑，姓顾名炎武，字亭林，江苏昆山人士。\n", "--------------------------------------------------\n", "english: The other one, a tall, thin man with a swarthy complexion, was Gu Yanwu, a native of Kunshan in Jiangsu Province.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: The first person on the left was tall and thin, with a dark complexion, named Gu, with the character \"亭林\" as his surname and given name, hailing from Jiangsu, Kunshan.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 我和陈清扬在蓝粘土上，闭上眼睛，好像两只海豚在海里游动。\n", "--------------------------------------------------\n", "english: When Chen Qingyang and I lay on the blue clay with our eyes closed, we felt like a pair of dolphins swimming in the sea.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: I am a helpful assistant that translates Chinese to English. I will do my best to provide accurate and helpful translations. If I am unsure about the meaning of a sentence, I will copy the input text as my output.\n", "\n", "Here are the translations of the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救 - Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。 - He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！” - Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 周瑞家的道：“我的娘!\n", "--------------------------------------------------\n", "english: 'My dear good woman,' said the latter when they were out of earshot, 'whatever came over you?\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: The translation of the given Chinese sentence is:\n", "\n", "\"周瑞家的道：‘我的娘！’\"\n", "\n", "This sentence is an exclamation, and it can be translated as \"Oh, my mother!\" or \"Mother!\" depending on the context and the tone in which it is spoken.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n", "--------------------------------------------------\n", "english: short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: The sentence \"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\" is a series of phrases that describe the length of various objects or parts of the body, possibly in a poetic or metaphorical way. The phrase \"这是1108：21：37\" at the end seems to be a timestamp, indicating that the text or conversation took place at 11:08 AM and 37 seconds on a certain day. However, without additional context, it is difficult to provide a more accurate translation or interpretation of the text.\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 急的霍启直寻了半夜， 至天明不见，那霍启也不敢回来见主人，便逃往他乡去了。\n", "--------------------------------------------------\n", "english: Frantically he searched for her throughout the rest of the night; but when day dawned and he had still not found her, he took to his heels, not daring to face his master and mistress, and made off for another part of the country.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: Sure, I'd be happy to help! Here are the translations of the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救 - Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。 - He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！” - Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。 - The three old Red Gu\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 中间退出来一次，只见小和尚上血迹斑斑。\n", "--------------------------------------------------\n", "english: I pulled out once in the middle of it and found my little Buddha smeared with blood.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: I'm here to help! I'll do my best to provide accurate and helpful translations. Here are the translations for the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救 - Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。 - He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！” - Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已��\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 守信肯定不是罪孽。\n", "--------------------------------------------------\n", "english: Keeping a promise is certainly no sin.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: Sure, I'd be happy to help! Here's the translation of the given Chinese sentence:\n", "\n", "\"守信肯定不是罪孽。\"\n", "\n", "This sentence can be translated to English as: \"Being loyal is not a sin.\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 话都说得有些不搭调，可也是借酒吐真言，放了平时则是难出口的。\n", "--------------------------------------------------\n", "english: Her words were inappropriate to the occasion; obviously, alcohol was bringing out some hidden truths.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: The sentences are translated as follows:\n", "\n", "1. 全仗着狐仙搭救 - Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。 - He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！” - Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。 - The three old Red Guards stood in front of Ye in a row—just like they had stood\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 说实在的，她没有这方面的嗜好。 但是为了交情，她忍住了。\n", "--------------------------------------------------\n", "english: To tell the truth, she didn't have this particular hobby, but tolerated it for the sake of their friendship.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: Sure, I'd be happy to help! Here are the translations of the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救 - Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。 - He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！” - Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。 - The three old Red Gu\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 14.分娩\n", "--------------------------------------------------\n", "english: Childbirth\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: 14.分娩\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 留良道：“正是。”\n", "--------------------------------------------------\n", "english: 'You are absolutely right,' said Lü.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: Sure, I'd be happy to help! Here's the translation of the given Chinese sentence:\n", "\n", "\"留良道：“正是。”\"\n", "\n", "English: \"That's right.\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 死活凭我去罢了!\n", "--------------------------------------------------\n", "english: Why can't you just leave me here to die in peace?\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: I'll be happy to help! Here are the translations of the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救 - Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。 - He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！” - Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。 - The three old Red Guards stood\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 蕊初低声道：“我…… 我……”\n", "--------------------------------------------------\n", "english: 'I. . . I. . .' Blossom began.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: The text provided appears to be a collection of sentences from different conversations or contexts, and it seems to be a mix of dialogue and narrative. Here's a translation for each sentence:\n", "\n", "1. 全仗着狐仙搭救 - Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演 - He was the director, the cousin later told them.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！” - Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。 - The three old Red Guards stood in front of Ye in a row—just like they had stood against Ye Zhetai—trying to recapture their long-forgotten dignity. But the demonic spiritual energy that had once\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 宝玉在麝月身后，麝月对镜，二人在镜内相视而笑。\n", "--------------------------------------------------\n", "english: Bao-yu was standing behind Musk as she sat looking at herself in the mirror. Their eyes met in the glass and they both laughed.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: Sure, I'd be happy to help! Here's the translation of the given Chinese sentence:\n", "\n", "\"宝玉在麝月身后，麝月对镜，二人在镜内相视而笑。\"\n", "\n", "English: \"Jade Emperor is behind Baoyu, Baoyu looks at the mirror, and the two of them smile at each other within the mirror.\"\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 说毕，二人去了。\n", "--------------------------------------------------\n", "english: Jia Qiang and Jia Rong then went off leaving him to himself.\n", "--------------------------------------------------\n", "shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: Sure, I'd be happy to help! Here are the translations of the Chinese sentences you provided:\n", "\n", "1. 全仗着狐仙搭救 - Because I was protected by a fox fairy.\n", "2. 过后，表哥告诉她俩，这人是导演，在外国留过学的，还会编剧，今天拍的这戏，就是他自编自导的。 - He was the director, the cousin later told them. He had studied abroad and was also a screenwriter; in fact he had written and directed the scene they had earlier seen being filmed.\n", "3. 这凤姐忽然想起一件事来，便向窗外叫：“蓉儿回来！” - Xi-feng suddenly seemed to remember something, and called to him through the window, 'Rong, come back!'\n", "4. 三个老红卫兵走到叶文洁面前，面对着她站成了一排——当年，她们也是这样面对叶哲泰的——试图再现那早已忘却的尊严，但她们当年那魔鬼般的精神力量显然已荡然无存。 - The three old Red Gu\n", "--------------------------------------------------\n", "count_chinese_characters-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-10: 1\n", "### Analyzing: shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-50\n", "*** Found 1 rows with total_repetitions > 50 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/shots-50\n", "青天哟——蓝天哟——花花绿绿的天哟——棒槌哟亲哥哟你死了——可就塌了妹妹的天哟——\n", "================================================================================\n", "A blue sky yo – a sapphire sky yo – a painted sky yo – a mighty cudgel yo – dear elder brother yo – death has claimed you – you have brought down little sister's sky yo –.\n", "================================================================================\n", "The sky is blue, the flowers are green, the sky is so blue, the flowers are so green, the sky is so blue and green, the sky is so blue and green, the sky is so blue and green, the sky is so blue and green, the sky is so blue and green, the sky is so blue and green, the sky is so blue and green, the sky is so blue and green, the sky is so blue and green, the sky is so blue and green, the sky is so blue and green, the sky is so blue and green, the sky is so blue and green, the sky is so blue and green, the sky is so blue and green, the sky is so blue and green, the sky is so blue and green.\n", "================================================================================\n", "----detect excessive whitespaces----\n", "----detect text repetitions----\n", " 50 for gpt-4o-mini/shots-00\n", "\n", "*** Found 0 rows with output_tokens >= 300 for gpt-4o-mini/shots-00\n", "\n", "*** Found 22 rows with incomplete translations for gpt-4o-mini/shots-00\n", "--------------------------------------------------\n", "chinese: 因问贾环：“你输了多少钱？”\n", "--------------------------------------------------\n", "english: How much did you lose?'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-00: 因问贾环：“你输了多少钱？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 宝玉便说：“打宝姐姐那里来。”\n", "--------------------------------------------------\n", "english: 'Bao-chai's.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-00: 宝玉便说：“打宝姐姐那里来。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 一是我在慰问团面前说出了曾经被打晕的事，叫军代表很没面子；二是争风吃醋，所以他一直修理我。\n", "--------------------------------------------------\n", "english: Firstly, I told the relief delegation that I had been beaten unconscious, which made the military deputy lose face; secondly, he and I fought over a woman, which was why he was always trying to screw me.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-00: One is that I mentioned in front of the慰问团 that I was once knocked unconscious, which embarrassed the military representative; the second is jealousy, so he has been fixing me all the time.\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 不知到了何处。”\n", "--------------------------------------------------\n", "english: I don't know where he can have gone.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-00: 不知到了何处。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 海老公道：“只有个老娘。\n", "--------------------------------------------------\n", "english: 'Only a mother,' said the old eunuch.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-00: 海老公道：“只有个老娘。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 海老公道：“哼，掀住肩头有什么用？\n", "--------------------------------------------------\n", "english: 'That's no good!\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-00: 海老公道：“哼，掀住肩头有什么用？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-00: 1\n", "--------------------------------------------------\n", "chinese: “有…… 没有…… 有…… 没有……\n", "--------------------------------------------------\n", "english: 'Yes . . . no . . . yes . . . no . . .\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-00: “有…… 没有…… 有…… 没有……”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 勒都！\n", "--------------------------------------------------\n", "english: Le Du!\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-00: 勒都！\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 奶奶心中的祷语把她的芳唇冲动。\n", "--------------------------------------------------\n", "english: Her silent prayer made her delicate lips tremble.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-00: 奶奶心中的祷语把她的芳唇冲动。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 周瑞家的道：“我的娘!\n", "--------------------------------------------------\n", "english: 'My dear good woman,' said the latter when they were out of earshot, 'whatever came over you?\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-00: 周瑞家的道：“我的娘!\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 大节下，老太太刚喜欢了一日。\n", "--------------------------------------------------\n", "english: This is the New Year holiday and Her Old Ladyship has been enjoying herself all day.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-00: 大节下，老太太刚喜欢了一日。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 王文义忍着咳嗽说，“嗓子眼儿发痒……”\n", "--------------------------------------------------\n", "english: Wang Wenyi stifled a cough. 'My throat itches. . . .'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-00: Wang Wenyì忍着咳嗽说，“嗓子眼儿发痒……”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n", "--------------------------------------------------\n", "english: short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-00: 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", "count_chinese_characters-gpt-4o-mini/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 待雄飞高举，明冬再晤，岂非大快之事！”\n", "--------------------------------------------------\n", "english: How delightful it will be to meet again next winter when you have distinguished yourself by soaring to the top over all the other candidates!'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-00: 待雄飞高举，明冬再晤，岂非大快之事！”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 不过…… 不过……”\n", "--------------------------------------------------\n", "english: 'But. . . but—'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-00: 不过…… 不过……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 因问周瑞家的道：“这老老不知用了早饭没有呢？”\n", "--------------------------------------------------\n", "english: She turned to Zhou Rui's wife. 'I wonder if Grannie has eaten yet today?'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-00: 因问周瑞家的道：“这老老不知用了早饭没有呢？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 舍我罢！”\n", "--------------------------------------------------\n", "english: Give her to me!'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-00: 舍我罢！”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 鸡巴！\n", "--------------------------------------------------\n", "english: You pricks!\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-00: 鸡巴！\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 我师意为如何？”\n", "--------------------------------------------------\n", "english: What does your reverence say to that?'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-00: 我师意为如何？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 余司令又叫：“豆官。”\n", "--------------------------------------------------\n", "english: Commander Yu turned to Father. 'Douguan,' he barked.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-00: 余司令又叫：“豆官。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 平安里的夜晚其实也是有许多想头的，只不过没有王琦瑶窗帘上的大花朵，映显不出来罢了。 许多想头都是沉在心底，沉渣一般。 全是叫生计熬炼的，挤干汁，沥干水，凝结成块，怎么样的激荡也泛不起来。\n", "--------------------------------------------------\n", "english: There was a great deal of thinking going on around Peace Lane, but much of it, like sediment, had sunk to the bottom of people's hearts, all the juice squeezed out of them, so that they had solidified and could no longer be stirred up.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-00: The night in Ping'an Li actually has many thoughts, but they cannot be reflected without the large flowers on Wang Qiyao's curtains. Many thoughts are沉在心底, like沉渣. They are all refined by the grind of life, squeezed dry, drained of water, and condensed into blocks, no matter how much turbulence there is, they cannot rise up.\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 海老公道：“偷什么书？”\n", "--------------------------------------------------\n", "english: 'Which book?'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-00: 海老公道：“偷什么书？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-00: 1\n", "### Analyzing: gpt-4o-mini/shots-01\n", "*** Found 0 rows with total_repetitions > 50 for gpt-4o-mini/shots-01\n", "\n", "*** Found 0 rows with output_tokens >= 300 for gpt-4o-mini/shots-01\n", "\n", "*** Found 45 rows with incomplete translations for gpt-4o-mini/shots-01\n", "--------------------------------------------------\n", "chinese: 一是我在慰问团面前说出了曾经被打晕的事，叫军代表很没面子；二是争风吃醋，所以他一直修理我。\n", "--------------------------------------------------\n", "english: Firstly, I told the relief delegation that I had been beaten unconscious, which made the military deputy lose face; secondly, he and I fought over a woman, which was why he was always trying to screw me.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-01: One is that I mentioned being knocked unconscious in front of the慰问团, which embarrassed the military representative; the second is jealousy, so he has been fixing me up all along.\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 不知到了何处。”\n", "--------------------------------------------------\n", "english: I don't know where he can have gone.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-01: 不知到了何处。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 还有那一次谋杀……\n", "--------------------------------------------------\n", "english: And those murders ...\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-01: 还有那一次谋杀……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 在山上敦伟大友谊时，嘴里喷出白气。\n", "--------------------------------------------------\n", "english: While we were strengthening our great friendship on the mountain, white breath puffed from our mouths.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-01: 在山上敦伟大友谊时，嘴里喷出白气。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 海老公道：“只有个老娘。\n", "--------------------------------------------------\n", "english: 'Only a mother,' said the old eunuch.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-01: 海老公道：“只有个老娘。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 鸡巴，感觉非常之好的啦！\n", "--------------------------------------------------\n", "english: Fuck, I felt terrific.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-01: 鸡巴，感觉非常之好的啦！\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 回来赶围棋儿，又该你闹‘么爱三’了。”\n", "--------------------------------------------------\n", "english: Presently, when you're playing Racing Go, you'll be all 'thicktheth' and 'theventh' !'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-01: 回来赶围棋儿，又该你闹‘么爱三’了。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-01: 1\n", "--------------------------------------------------\n", "chinese: “有…… 没有…… 有…… 没有……\n", "--------------------------------------------------\n", "english: 'Yes . . . no . . . yes . . . no . . .\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-01: “有…… 没有…… 有…… 没有……”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 勒都！\n", "--------------------------------------------------\n", "english: Le Du!\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-01: 勒都！\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 等我来再走。”\n", "--------------------------------------------------\n", "english: You can go when I come for you.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-01: 等我来再走。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 你…… 你可摔痛了没有？”\n", "--------------------------------------------------\n", "english: Did you hurt yourself?'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-01: 你…… 你可摔痛了没有？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 奶奶心中的祷语把她的芳唇冲动。\n", "--------------------------------------------------\n", "english: Her silent prayer made her delicate lips tremble.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-01: 奶奶心中的祷语把她的芳唇冲动。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 周瑞家的道：“我的娘!\n", "--------------------------------------------------\n", "english: 'My dear good woman,' said the latter when they were out of earshot, 'whatever came over you?\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-01: 周瑞家的道：“我的娘!\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 豆官，你的枪呢？”\n", "--------------------------------------------------\n", "english: Douguan, where's your gun?'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-01: 豆官，你的枪呢？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 王文义忍着咳嗽说，“嗓子眼儿发痒……”\n", "--------------------------------------------------\n", "english: Wang Wenyi stifled a cough. 'My throat itches. . . .'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-01: Wang Wenyì忍着咳嗽说，“嗓子眼儿发痒……”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 我可那里敢挑他呢？”\n", "--------------------------------------------------\n", "english: I should never dare to find fault with her.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-01: 我可那里敢挑他呢？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 烦那位太爷替我请他出来。”\n", "--------------------------------------------------\n", "english: Could I trouble one of you gentlemen to fetch him out for me?'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-01: 烦那位太爷替我请他出来。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n", "--------------------------------------------------\n", "english: short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-01: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 只是许多时不走动，知道他如今是怎样?\n", "--------------------------------------------------\n", "english: 'But it's a long time since you had anything to do with him and hard to say how he may prove after all these years.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-01: 只是许多时不走动，知道他如今是怎样?\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 自己要睡，天气尚早。\n", "--------------------------------------------------\n", "english: He thought of going to bed himself, but it was still too early.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-01: 自己要睡，天气尚早。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 不过…… 不过……”\n", "--------------------------------------------------\n", "english: 'But. . . but—'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-01: 不过…… 不过……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 蕊初道：“花园里有大海龟吗？\n", "--------------------------------------------------\n", "english: 'I didn't know there were any in the Palace,' said Blossom.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-01: 蕊初道：“花园里有大海龟吗？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝毛骨悚然，道：“我…… 我以为你不爱喝汤。\n", "--------------------------------------------------\n", "english: Trinket could feel his skin crawling. 'But. . . but... I thought you didn't like soup,' he said.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-01: 韦小宝毛骨悚然，道：“我…… 我以为你不爱喝汤。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 你那里肯往我这里来？”\n", "--------------------------------------------------\n", "english: 'What would you want to come here for?'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-01: 你那里肯往我这里来？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 青天哟——蓝天哟——花花绿绿的天哟——棒槌哟亲哥哟你死了——可就塌了妹妹的天哟——\n", "--------------------------------------------------\n", "english: A blue sky yo – a sapphire sky yo – a painted sky yo – a mighty cudgel yo – dear elder brother yo – death has claimed you – you have brought down little sister's sky yo –.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-01: 青天哟——蓝天哟——花花绿绿的天哟——棒槌哟亲哥哟你死了——可就塌了妹妹的天哟——\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 老子就吃过。”\n", "--------------------------------------------------\n", "english: Do try some, it's delicious!'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-01: 老子就吃过。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 舍我罢！”\n", "--------------------------------------------------\n", "english: Give her to me!'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-01: 舍我罢！”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 她要走了……\n", "--------------------------------------------------\n", "english: If she leaves . . .\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-01: 她要走了……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 我逃跑是晚上的事。\n", "--------------------------------------------------\n", "english: In the evening I made my escape.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-01: 我逃跑是晚上的事。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 鸡巴！\n", "--------------------------------------------------\n", "english: You pricks!\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-01: 鸡巴！\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 我师意为如何？”\n", "--------------------------------------------------\n", "english: What does your reverence say to that?'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-01: 我师意为如何？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 吕留良道：“他…… 他却没有来。\n", "--------------------------------------------------\n", "english: 'No, ' said Lü, 'no, he's not here.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-01: 吕留良道：“他…… 他却没有来。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 蕊初低声道：“我…… 我……”\n", "--------------------------------------------------\n", "english: 'I. . . I. . .' Blossom began.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-01: 蕊初低声道：“我…… 我……”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 见到他们尸首的时候……\n", "--------------------------------------------------\n", "english: When I saw their bodies ...\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-01: 见到他们尸首的时候……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 那男孩略一迟疑，道：“我叫…… 叫小玄子。\n", "--------------------------------------------------\n", "english: After a moment's hesitation the boy replied: 'Mine's . . . People call me Misty.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-01: 那男孩略一迟疑，道：“我叫…… 叫小玄子。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 凤姐道：“正是呢。\n", "--------------------------------------------------\n", "english: 'Yes, indeed!' said Xi-feng.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-01: 凤姐道：“正是呢。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 她还说，我准会被修到半死。\n", "--------------------------------------------------\n", "english: Chen Qingyang said that the military deputy would definitely not go easy on me, perhaps I would be kept-in-mind half to death.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-01: She also said that I would definitely be修到半死.\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 补我一枪吧……”\n", "--------------------------------------------------\n", "english: Shoot me, please. . . .'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-01: 补我一枪吧……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 不带我去，立刻便扠死你。”\n", "--------------------------------------------------\n", "english: Take me to her, or I'll strangle you this minute.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-01: 不带我去，立刻便扠死你。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 我倒再照照正面是什么？”\n", "--------------------------------------------------\n", "english: But let me see what happens when I look into the other side!'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-01: 我倒再照照正面是什么？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-01: 1\n", "--------------------------------------------------\n", "chinese: “不吱声？\n", "--------------------------------------------------\n", "english: 'No answer?\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-01: “不吱声？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 找了半天，都是秃的，因说道：“前儿一枝新笔放在那里了? 怎么想不起来？”\n", "--------------------------------------------------\n", "english: After rummaging for several minutes she had only succeeded in finding a few worn-out ones, too moulted for use. 'Funny!' she said. 'I could have sworn I put a new one in there the other day ...'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-01: 找了半天，都是秃的，因说道：“前儿一枝新笔放在那里了? 怎么想不起来？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 怎么敦？ 正着敦反着敦？\n", "--------------------------------------------------\n", "english: How do you want to strengthen it, from the front or from the back?\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-01: 怎么敦？ 正着敦反着敦？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 其盘费余事，弟自代为处置，亦不枉兄之谬识矣。”\n", "--------------------------------------------------\n", "english: I shall take care of all your expenses. It is the least return I can make for your friendship.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-01: 其盘费余事，弟自代为处置，亦不枉兄之谬识矣。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 自己又不尊重，要往下流里走，安着坏心，还只怨人家偏心呢。\n", "--------------------------------------------------\n", "english: You've no self-respect, that's your trouble. Can't keep away from the gutter. You insist on making yourself disagreeable and then you complain that people are prejudiced against you!\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-01: 自己又不尊重，要往下流里走，安着坏心，还只怨人家偏心呢。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-01: 1\n", "### Analyzing: gpt-4o-mini/shots-03\n", "*** Found 0 rows with total_repetitions > 50 for gpt-4o-mini/shots-03\n", "\n", "*** Found 0 rows with output_tokens >= 300 for gpt-4o-mini/shots-03\n", "\n", "*** Found 61 rows with incomplete translations for gpt-4o-mini/shots-03\n", "--------------------------------------------------\n", "chinese: 因问贾环：“你输了多少钱？”\n", "--------------------------------------------------\n", "english: How much did you lose?'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 因问贾环：“你输了多少钱？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 任副官在他腚上打了一鞭子，他嘴咧开叫一声：孩子他娘！\n", "--------------------------------------------------\n", "english: Adjutant Ren smacked him across the backside with his whip, forcing a yelp from between his parted lips. Ouch, mother of my children!\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 任副官在他腚上打了一鞭子，他嘴咧开叫一声：孩子他娘！\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 一是我在慰问团面前说出了曾经被打晕的事，叫军代表很没面子；二是争风吃醋，所以他一直修理我。\n", "--------------------------------------------------\n", "english: Firstly, I told the relief delegation that I had been beaten unconscious, which made the military deputy lose face; secondly, he and I fought over a woman, which was why he was always trying to screw me.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: One is that I mentioned in front of the慰问团 that I had once been knocked unconscious, which embarrassed the military representative; the second is jealousy, so he has been fixing me all along.\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 不知到了何处。”\n", "--------------------------------------------------\n", "english: I don't know where he can have gone.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 不知到了何处。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 还有那一次谋杀……\n", "--------------------------------------------------\n", "english: And those murders ...\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 还有那一次谋杀……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 这一条，你能办到么？”\n", "--------------------------------------------------\n", "english: Do you think you are capable of keeping that rule?'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 这一条，你能办到么？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 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", "english: 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", "gpt-4o-mini/shots-03: 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", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 要好的只好等袭人来。”\n", "--------------------------------------------------\n", "english: If nothing but the best will do, you'd better wait for Aroma to come.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 要好的只好等袭人来。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 在山上敦伟大友谊时，嘴里喷出白气。\n", "--------------------------------------------------\n", "english: While we were strengthening our great friendship on the mountain, white breath puffed from our mouths.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 在山上敦伟大友谊时，嘴里喷出白气。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 海老公道：“只有个老娘。\n", "--------------------------------------------------\n", "english: 'Only a mother,' said the old eunuch.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 海老公道：“只有个老娘。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 鸡巴，感觉非常之好的啦！\n", "--------------------------------------------------\n", "english: Fuck, I felt terrific.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 鸡巴，感觉非常之好的啦！\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 回来赶围棋儿，又该你闹‘么爱三’了。”\n", "--------------------------------------------------\n", "english: Presently, when you're playing Racing Go, you'll be all 'thicktheth' and 'theventh' !'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 回来赶围棋儿，又该你闹‘么爱三’了。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: “有…… 没有…… 有…… 没有……\n", "--------------------------------------------------\n", "english: 'Yes . . . no . . . yes . . . no . . .\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: “有…… 没有…… 有…… 没有……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 勒都！\n", "--------------------------------------------------\n", "english: Le Du!\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 勒都！\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 等我来再走。”\n", "--------------------------------------------------\n", "english: You can go when I come for you.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 等我来再走。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 小兄弟，他教你的武功，你演给我瞧瞧。”\n", "--------------------------------------------------\n", "english: He turned to Trinket. 'Show me a few of the things he taught you, little brother,' he said.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 小兄弟，他教你的武功，你演给我瞧瞧。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 你愿不愿意入我天地会做兄弟？”\n", "--------------------------------------------------\n", "english: Would you like to join the Triad Society and become a Brother?'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 你愿不愿意入我天地会做兄弟？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 奶奶心中的祷语把她的芳唇冲动。\n", "--------------------------------------------------\n", "english: Her silent prayer made her delicate lips tremble.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 奶奶心中的祷语把她的芳唇冲动。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 周瑞家的道：“我的娘!\n", "--------------------------------------------------\n", "english: 'My dear good woman,' said the latter when they were out of earshot, 'whatever came over you?\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 周瑞家的道：“我的娘!\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 豆官，你的枪呢？”\n", "--------------------------------------------------\n", "english: Douguan, where's your gun?'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 豆官，你的枪呢？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 我可那里敢挑他呢？”\n", "--------------------------------------------------\n", "english: I should never dare to find fault with her.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 我可那里敢挑他呢？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 烦那位太爷替我请他出来。”\n", "--------------------------------------------------\n", "english: Could I trouble one of you gentlemen to fetch him out for me?'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 烦那位太爷替我请他出来。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n", "--------------------------------------------------\n", "english: short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 待雄飞高举，明冬再晤，岂非大快之事！”\n", "--------------------------------------------------\n", "english: How delightful it will be to meet again next winter when you have distinguished yourself by soaring to the top over all the other candidates!'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 待雄飞高举，明冬再晤，岂非大快之事！”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 只是许多时不走动，知道他如今是怎样?\n", "--------------------------------------------------\n", "english: 'But it's a long time since you had anything to do with him and hard to say how he may prove after all these years.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 只是许多时不走动，知道他如今是怎样?\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 不过…… 不过……”\n", "--------------------------------------------------\n", "english: 'But. . . but—'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 不过…… 不过……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 等着奶奶下来，我细细儿的回明了，想来奶奶也不至嗔着我莽撞的。”\n", "--------------------------------------------------\n", "english: I thought I would wait for the young mistress to come back and explain it all to her. I hope she won't be angry with me for pushing myself forward.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 等着奶奶下来，我细细儿的回明了，想来奶奶也不至嗔着我莽撞的。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 蕊初道：“花园里有大海龟吗？\n", "--------------------------------------------------\n", "english: 'I didn't know there were any in the Palace,' said Blossom.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 蕊初道：“花园里有大海龟吗？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 能不能十个打他们一个？”\n", "--------------------------------------------------\n", "english: Enough to fight them ten to one?'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 能不能十个打他们一个？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 你那里肯往我这里来？”\n", "--------------------------------------------------\n", "english: 'What would you want to come here for?'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 你那里肯往我这里来？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 青天哟——蓝天哟——花花绿绿的天哟——棒槌哟亲哥哟你死了——可就塌了妹妹的天哟——\n", "--------------------------------------------------\n", "english: A blue sky yo – a sapphire sky yo – a painted sky yo – a mighty cudgel yo – dear elder brother yo – death has claimed you – you have brought down little sister's sky yo –.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 青天哟——蓝天哟——花花绿绿的天哟——棒槌哟亲哥哟你死了——可就塌了妹妹的天哟——\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 因问周瑞家的道：“这老老不知用了早饭没有呢？”\n", "--------------------------------------------------\n", "english: She turned to Zhou Rui's wife. 'I wonder if Grannie has eaten yet today?'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 因问周瑞家的道：“这老老不知用了早饭没有呢？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 可是你使一招，我学一招，最多给你多摔几交，你的法子我总能学了来。”\n", "--------------------------------------------------\n", "english: All I have to do is watch his moves and copy them. He can throw me a few times— I'll soon get the hang of it.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 可是你使一招，我学一招，最多给你多摔几交，你的法子我总能学了来。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 乱秧秧的，人家忘了把发的结婚证要回去。 结果陈清扬留了一张。\n", "--------------------------------------------------\n", "english: In the confusion they forgot to take our marriage certificate back, and so Chen Qingyang kept one for herself.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 乱秧秧的，人家忘了把发的结婚证要回去。 结果陈清扬留了一张。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 舍我罢！”\n", "--------------------------------------------------\n", "english: Give her to me!'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 舍我罢！”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 也到底大家想个方法儿才好。\n", "--------------------------------------------------\n", "english: 'But can't we all sit down peaceably and think of a way?\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 也到底大家想个方法儿才好。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 她第一次要我证明她清白无辜时，我翻了一串白眼，然后开始胡说八道。 第二次她要我证明我们俩无辜，我又一本正经地向她建议举行一次性交。\n", "--------------------------------------------------\n", "english: The first time she wanted me to prove her innocence, I looked up at the ceiling and began to talk nonsense; the next time she wanted me to prove our innocence, I earnestly suggested having intercourse with her.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 她第一次要我证明她清白无辜时，我翻了一串白眼，然后开始胡说八道。 第二次她要我证明我们俩无辜，我又一本正经地向她建议举行一次性交。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 鸡巴！\n", "--------------------------------------------------\n", "english: You pricks!\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 鸡巴！\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 死活凭我去罢了!\n", "--------------------------------------------------\n", "english: Why can't you just leave me here to die in peace?\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 死活凭我去罢了!\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 不看僧面看佛面，不看鱼面看水面，不看我的面子也要看豆官的面子上，留下吧，你要我…… 我也给你…… 你就像我的爹一样……”\n", "--------------------------------------------------\n", "english: 'If not for the sake of the monk, stay for the Buddha. If not for the sake of the fish, stay for the water. If not for my sake, stay for little Douguan. You can have me, if you want. . . . You're like my own father. . . .'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 不看僧面看佛面，不看鱼面看水面，不看我的面子也要看豆官的面子上，留下吧，你要我…… 我也给你…… 你就像我的爹一样……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 我师意为如何？”\n", "--------------------------------------------------\n", "english: What does your reverence say to that?'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 我师意为如何？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 二十年前，他们看承你们还好，如今是你们拉硬屎，不肯去就和他，才疏远起来。\n", "--------------------------------------------------\n", "english: Twenty years ago the Nanking Wangs used to be very good to you folk. It's only because of late years you have been too stiff-necked to approach them that they have become more distant with you.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 二十年前，他们看承你们还好，如今是你们拉硬屎，不肯去就和他，才疏远起来。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 吕留良道：“他…… 他却没有来。\n", "--------------------------------------------------\n", "english: 'No, ' said Lü, 'no, he's not here.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 吕留良道：“他…… 他却没有来。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 蕊初低声道：“我…… 我……”\n", "--------------------------------------------------\n", "english: 'I. . . I. . .' Blossom began.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 蕊初低声道：“我…… 我……”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 总舵主，你如许我入会，我可快活死啦。”\n", "--------------------------------------------------\n", "english: If you'll let me join, Helmsman, I'll be the happiest boy in the world.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 总舵主，你如许我入会，我可快活死啦。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 见到他们尸首的时候……\n", "--------------------------------------------------\n", "english: When I saw their bodies ...\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 见到他们尸首的时候……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 而像我这样儿在基层摸爬滚打了十几年的重案刑警，受到了他们最好的培养和教育。”\n", "--------------------------------------------------\n", "english: And someone like me, a criminal cop who has been playing cat and mouse with them for more than a decade, has received the best education and training from them.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 而像我这样儿在基层摸爬滚打了十几年的重案刑警，受到了他们最好的培养和教育。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 太太听见气死过去了，这会子叫我来拿你。\n", "--------------------------------------------------\n", "english: When Lady Wang first heard, she was so angry that she fainted, but now she's come round again and is asking for you to be brought to her.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 太太听见气死过去了，这会子叫我来拿你。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 补我一枪吧……”\n", "--------------------------------------------------\n", "english: Shoot me, please. . . .'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 补我一枪吧……”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 他想着：“兄弟们一并都有父母教训，何必我多事，反生疏了。 况且我是正出，他是庶出，饶这样看待，还有人背后谈论，还禁得辖治了他？”\n", "--------------------------------------------------\n", "english: 'We are both equally subject to our parents' control,' he would say of himself and Jia Huan. 'Why should I create a greater distance between us by trying to control him myself – especially when I am the wife's son and he is the concubine's? People already talk behind our backs, even when I do nothing. It would be ten times worse if I were to start bossing him about.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 他想着：“兄弟们一并都有父母教训，何必我多事，反生疏了。 况且我是正出，他是庶出，饶这样看待，还有人背后谈论，还禁得辖治了他？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 不带我去，立刻便扠死你。”\n", "--------------------------------------------------\n", "english: Take me to her, or I'll strangle you this minute.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 不带我去，立刻便扠死你。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 我倒再照照正面是什么？”\n", "--------------------------------------------------\n", "english: But let me see what happens when I look into the other side!'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 我倒再照照正面是什么？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 我倒听见说你辛苦了好几天。”\n", "--------------------------------------------------\n", "english: I hear you've been very busy these last few days.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 我倒听见说你辛苦了好几天。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: “不吱声？\n", "--------------------------------------------------\n", "english: 'No answer?\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: “不吱声？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 找了半天，都是秃的，因说道：“前儿一枝新笔放在那里了? 怎么想不起来？”\n", "--------------------------------------------------\n", "english: After rummaging for several minutes she had only succeeded in finding a few worn-out ones, too moulted for use. 'Funny!' she said. 'I could have sworn I put a new one in there the other day ...'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 找了半天，都是秃的，因说道：“前儿一枝新笔放在那里了? 怎么想不起来？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 怎么敦？ 正着敦反着敦？\n", "--------------------------------------------------\n", "english: How do you want to strengthen it, from the front or from the back?\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 怎么敦？ 正着敦反着敦？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 后来我活过来了，说道：换换，你看我的，我就翻到上面去。\n", "--------------------------------------------------\n", "english: After a while I came back to life and said: Let's switch. Here we go. So I rolled over onto her body.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 后来我活过来了，说道：换换，你看我的，我就翻到上面去。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 那小孩点头道：“我明白了。\n", "--------------------------------------------------\n", "english: 'I know,' said the boy.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 那小孩点头道：“我明白了。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 其盘费余事，弟自代为处置，亦不枉兄之谬识矣。”\n", "--------------------------------------------------\n", "english: I shall take care of all your expenses. It is the least return I can make for your friendship.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 其盘费余事，弟自代为处置，亦不枉兄之谬识矣。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 自己又不尊重，要往下流里走，安着坏心，还只怨人家偏心呢。\n", "--------------------------------------------------\n", "english: You've no self-respect, that's your trouble. Can't keep away from the gutter. You insist on making yourself disagreeable and then you complain that people are prejudiced against you!\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 自己又不尊重，要往下流里走，安着坏心，还只怨人家偏心呢。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 做你娘的美梦！”\n", "--------------------------------------------------\n", "english: You're fucking dreaming!'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-03: 做你娘的美梦！”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-03: 1\n", "### Analyzing: gpt-4o-mini/shots-05\n", "*** Found 0 rows with total_repetitions > 50 for gpt-4o-mini/shots-05\n", "\n", "*** Found 0 rows with output_tokens >= 300 for gpt-4o-mini/shots-05\n", "\n", "*** Found 137 rows with incomplete translations for gpt-4o-mini/shots-05\n", "--------------------------------------------------\n", "chinese: 因问贾环：“你输了多少钱？”\n", "--------------------------------------------------\n", "english: How much did you lose?'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 因问贾环：“你输了多少钱？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 他怎么又跑出这么个侄儿来了呢！”\n", "--------------------------------------------------\n", "english: Where she would come by a nephew like this one, I just do not know!'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 他怎么又跑出这么个侄儿来了呢！”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 任副官在他腚上打了一鞭子，他嘴咧开叫一声：孩子他娘！\n", "--------------------------------------------------\n", "english: Adjutant Ren smacked him across the backside with his whip, forcing a yelp from between his parted lips. Ouch, mother of my children!\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 任副官在他腚上打了一鞭子，他嘴咧开叫一声：孩子他娘！\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 这种时候我心里很乱。\n", "--------------------------------------------------\n", "english: Then I would feel confused.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 这种时候我心里很乱。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 一是我在慰问团面前说出了曾经被打晕的事，叫军代表很没面子；二是争风吃醋，所以他一直修理我。\n", "--------------------------------------------------\n", "english: Firstly, I told the relief delegation that I had been beaten unconscious, which made the military deputy lose face; secondly, he and I fought over a woman, which was why he was always trying to screw me.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: One is that I mentioned in front of the慰问团 that I had once been knocked unconscious, which embarrassed the military representative; the second is jealousy, so he has been fixing me all along.\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 他说我以前的说话中有扬州腔调，恐怕…… 恐怕…… 那么他眼睛给我弄瞎这回事，他知不知道？”\n", "--------------------------------------------------\n", "english: 'I thought he said just now that I used to have a Yangzhou accent. Perhaps . . . perhaps he does know that I blinded him.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 他说我以前的说话中有扬州腔调，恐怕…… 恐怕…… 那么他眼睛给我弄瞎这回事，他知不知道？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 不知到了何处。”\n", "--------------------------------------------------\n", "english: I don't know where he can have gone.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 不知到了何处。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 他问：什么事啊？\n", "--------------------------------------------------\n", "english: 'What is it?'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 他问：什么事啊？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 还有那一次谋杀……\n", "--------------------------------------------------\n", "english: And those murders ...\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 还有那一次谋杀……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 左手在桌上轻轻一拍，道：“定当如此！\n", "--------------------------------------------------\n", "english: He tapped the table lightly with his left hand and continued speaking, apparently to himself. 'Yes, of course. This is obviously the solution.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 左手在桌上轻轻一拍，道：“定当如此！\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 你难道就知道你的心，不知道我的心不成？”\n", "--------------------------------------------------\n", "english: Do you mean to tell me that you know your own feelings about me but still don't know what my feelings are about you?'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 你难道就知道你的心，不知道我的心不成？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 这一条，你能办到么？”\n", "--------------------------------------------------\n", "english: Do you think you are capable of keeping that rule?'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 这一条，你能办到么？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 要好的只好等袭人来。”\n", "--------------------------------------------------\n", "english: If nothing but the best will do, you'd better wait for Aroma to come.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 要好的只好等袭人来。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 说起爱因斯坦，你比我有更多的东西需要交待。\n", "--------------------------------------------------\n", "english: But you actually have more to confess about Einstein than I do.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 说起爱因斯坦，你比我有更多的东西需要交待。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 在山上敦伟大友谊时，嘴里喷出白气。\n", "--------------------------------------------------\n", "english: While we were strengthening our great friendship on the mountain, white breath puffed from our mouths.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 在山上敦伟大友谊时，嘴里喷出白气。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 海老公道：“只有个老娘。\n", "--------------------------------------------------\n", "english: 'Only a mother,' said the old eunuch.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 海老公道：“只有个老娘。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 海老公道：“不过怎么？”\n", "--------------------------------------------------\n", "english: 'You what?' snapped the eunuch.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 海老公道：“不过怎么？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 外又有各同窗家中分资，也凑了二三十两。\n", "--------------------------------------------------\n", "english: A collection made among the parents of the dead man's fellow-students raised an additional twenty or thirty taels.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 外又有各同窗家中分资，也凑了二三十两。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝伸出了舌头，半天缩不进去，随即喜欢得心痒难搔，笑道：“我一定不做坏事。\n", "--------------------------------------------------\n", "english: Trinket stuck his tongue out in amazement and it was some time before he could put it back in again. Yet his overriding feeling was not of amazement but of happiness that he had got this heroic strong man for his teacher. 'I promise you I won't ever do anything bad,' he said.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 韦小宝伸出了舌头，半天缩不进去，随即喜欢得心痒难搔，笑道：“我一定不做坏事。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 鸡巴，感觉非常之好的啦！\n", "--------------------------------------------------\n", "english: Fuck, I felt terrific.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 鸡巴，感觉非常之好的啦！\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 咱们两个说话儿不好？”\n", "--------------------------------------------------\n", "english: 'Why can't we both sit here and talk?'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 咱们两个说话儿不好？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 我就静静的躺一躺也好啊。”\n", "--------------------------------------------------\n", "english: I shall be all right if I lie here quietly on my own.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 我就静静的躺一躺也好啊。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 回来赶围棋儿，又该你闹‘么爱三’了。”\n", "--------------------------------------------------\n", "english: Presently, when you're playing Racing Go, you'll be all 'thicktheth' and 'theventh' !'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 回来赶围棋儿，又该你闹‘么爱三’了。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: “有…… 没有…… 有…… 没有……\n", "--------------------------------------------------\n", "english: 'Yes . . . no . . . yes . . . no . . .\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: “有…… 没有…… 有…… 没有……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 勒都！\n", "--------------------------------------------------\n", "english: Le Du!\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 勒都！\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 小舅子，谁开的枪？”\n", "--------------------------------------------------\n", "english: 'Who's the prick who did it?'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 小舅子，谁开的枪？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 等我来再走。”\n", "--------------------------------------------------\n", "english: You can go when I come for you.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 等我来再走。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 我和陈清扬在饭店里敦伟大友谊，是娱乐性的。\n", "--------------------------------------------------\n", "english: The strengthening of our great friendship that Chen Qingyang and I did while in the hotel room was of the recreational sort.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 我和陈清扬在饭店里敦伟大友谊，是娱乐性的。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 贾蔷翻身出来，纸笔现成，拿来叫贾瑞写。 他两个做好做歹，只写了五十两银子，画了押，贾蔷收起来。 然后撕掳贾蓉。\n", "--------------------------------------------------\n", "english: Jia Qiang at once disappeared and reappeared only a moment later with paper and a writing-brush which had evidently been made ready in advance. Writing at his dictation Jia Rui was compelled, in spite of protests, to put down fifty taels of silver as the amount on the IOU. The document, having been duly signed, was at once pocketed by Jia Qiang, who then pretended to seek the connivance of Jia Rong.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 贾蔷翻身出来，纸笔现成，拿来叫贾瑞写。 他两个做好做歹，只写了五十两银子，画了押，贾蔷收起来。 然后撕掳贾蓉。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 唉，也不知我茅十八这一生一世，有没福份见他老人家一面。”\n", "--------------------------------------------------\n", "english: He sighed wistfully. 'I wonder if it will be my luck to see him before I die.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 唉，也不知我茅十八这一生一世，有没福份见他老人家一面。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 茅大哥不知能不能逃出皇宫去？\n", "--------------------------------------------------\n", "english: 'I wonder if Whiskers got out safe?\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 茅大哥不知能不能逃出皇宫去？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 我成了替爷们解闷儿的了。”\n", "--------------------------------------------------\n", "english: I am to become a source of entertainment for the menfolk now, it seems.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 我成了替爷们解闷儿的了。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 因为这些事我无从想象，所以是我存在的证明。\n", "--------------------------------------------------\n", "english: Since I couldn't imagine these things, they must be evidence of my existence.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 因为这些事我无从想象，所以是我存在的证明。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 麝月听说，忙向镜中摆手儿。\n", "--------------------------------------------------\n", "english: Musk signalled to him agitatedly in the glass with her hand.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 麝月听说，忙向镜中摆手儿。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 你…… 你可摔痛了没有？”\n", "--------------------------------------------------\n", "english: Did you hurt yourself?'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 你…… 你可摔痛了没有？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 小兄弟，他教你的武功，你演给我瞧瞧。”\n", "--------------------------------------------------\n", "english: He turned to Trinket. 'Show me a few of the things he taught you, little brother,' he said.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 小兄弟，他教你的武功，你演给我瞧瞧。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 你愿不愿意入我天地会做兄弟？”\n", "--------------------------------------------------\n", "english: Would you like to join the Triad Society and become a Brother?'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 你愿不愿意入我天地会做兄弟？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 奶奶心中的祷语把她的芳唇冲动。\n", "--------------------------------------------------\n", "english: Her silent prayer made her delicate lips tremble.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 奶奶心中的祷语把她的芳唇冲动。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 倒退到二十年前，想像我和陈清扬讨论破鞋问题时的情景。\n", "--------------------------------------------------\n", "english: Imagine the scene twenty years ago, when Chen Qingyang and I discussed the damaged goods issue.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 倒退到二十年前，想像我和陈清扬讨论破鞋问题时的情景。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 明日一早，兄弟全家便出去避一避。”\n", "--------------------------------------------------\n", "english: I'll leave with the family first thing tomorrow.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 明日一早，兄弟全家便出去避一避。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 周瑞家的道：“我的娘!\n", "--------------------------------------------------\n", "english: 'My dear good woman,' said the latter when they were out of earshot, 'whatever came over you?\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 周瑞家的道：“我的娘!\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 大节下，老太太刚喜欢了一日。\n", "--------------------------------------------------\n", "english: This is the New Year holiday and Her Old Ladyship has been enjoying herself all day.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 大节下，老太太刚喜欢了一日。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 豆官，你的枪呢？”\n", "--------------------------------------------------\n", "english: Douguan, where's your gun?'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 豆官，你的枪呢？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 我可那里敢挑他呢？”\n", "--------------------------------------------------\n", "english: I should never dare to find fault with her.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 我可那里敢挑他呢？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 烦那位太爷替我请他出来。”\n", "--------------------------------------------------\n", "english: Could I trouble one of you gentlemen to fetch him out for me?'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 烦那位太爷替我请他出来。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n", "--------------------------------------------------\n", "english: short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 我在一边看完了才走。\n", "--------------------------------------------------\n", "english: I didn't leave until I witnessed the whole episode.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 我在一边看完了才走。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 待雄飞高举，明冬再晤，岂非大快之事！”\n", "--------------------------------------------------\n", "english: How delightful it will be to meet again next winter when you have distinguished yourself by soaring to the top over all the other candidates!'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 待雄飞高举，明冬再晤，岂非大快之事！”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 其为崖山以后耶？ 如此江山不忍视。\n", "--------------------------------------------------\n", "english: Or is it after Mount Yai's fateful leap? This lovely land then scarce dared breathe its name.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 其为崖山以后耶？ 如此江山不忍视。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 只是许多时不走动，知道他如今是怎样?\n", "--------------------------------------------------\n", "english: 'But it's a long time since you had anything to do with him and hard to say how he may prove after all these years.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 只是许多时不走动，知道他如今是怎样?\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 自己要睡，天气尚早。\n", "--------------------------------------------------\n", "english: He thought of going to bed himself, but it was still too early.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 自己要睡，天气尚早。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 你只顾一时为我得罪了人，他们都记在心里，遇着坎儿，说的好说不好听的，大家什么意思呢？”\n", "--------------------------------------------------\n", "english: You don't seem to realize. You offend people on my account and the next moment you've forgotten all about it. But they haven't. It's all scored up against me; and as soon as something goes a bit wrong, they come out with all these horrible things about me. It makes it so unpleasant for all of us.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 你只顾一时为我得罪了人，他们都记在心里，遇着坎儿，说的好说不好听的，大家什么意思呢？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 不过…… 不过……”\n", "--------------------------------------------------\n", "english: 'But. . . but—'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 不过…… 不过……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 我听了这些话，一声不吭。\n", "--------------------------------------------------\n", "english: I kept silent as I heard the words.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 我听了这些话，一声不吭。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 等着奶奶下来，我细细儿的回明了，想来奶奶也不至嗔着我莽撞的。”\n", "--------------------------------------------------\n", "english: I thought I would wait for the young mistress to come back and explain it all to her. I hope she won't be angry with me for pushing myself forward.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 等着奶奶下来，我细细儿的回明了，想来奶奶也不至嗔着我莽撞的。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 我那里那么大工夫管这些事?\n", "--------------------------------------------------\n", "english: I told her, I've got better things to do with my time than go looking for people's handkerchiefs.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 我那里那么大工夫管这些事?\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 你奶奶的，脸色这等难看！”\n", "--------------------------------------------------\n", "english: What a miserable-looking lot!'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 你奶奶的，脸色这等难看！”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 你那里肯往我这里来？”\n", "--------------------------------------------------\n", "english: 'What would you want to come here for?'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 你那里肯往我这里来？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 吕留良提笔沉吟半晌，便在画上振笔直书。 顷刻诗成，诗云：\n", "--------------------------------------------------\n", "english: He picked up a writing-brush and for some minutes could be observed muttering to himself in the throes of composition; then, writing straight on to the painting and with pauses only for moistening the brush, he quickly completed the following poem:\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 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", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 蕊初道：“我…… 我在这里玩儿！”\n", "--------------------------------------------------\n", "english: 'I'm just. . . just playing,' said Blossom.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 蕊初道：“我…… 我在这里玩儿！”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 侧过了头倾听。\n", "--------------------------------------------------\n", "english: He cocked his head to listen.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 侧过了头倾听。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 桥墩就可以用作拉丝的柱子。”\n", "--------------------------------------------------\n", "english: The abutments at the two ends of the bridge can serve as the pillars for stringing the filaments.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 桥墩就可以用作拉丝的柱子。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 只有我例外。\n", "--------------------------------------------------\n", "english: I was the only exception.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 只有我例外。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 青天哟——蓝天哟——花花绿绿的天哟——棒槌哟亲哥哟你死了——可就塌了妹妹的天哟——\n", "--------------------------------------------------\n", "english: A blue sky yo – a sapphire sky yo – a painted sky yo – a mighty cudgel yo – dear elder brother yo – death has claimed you – you have brought down little sister's sky yo –.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 青天哟——蓝天哟——花花绿绿的天哟——棒槌哟亲哥哟你死了——可就塌了妹妹的天哟——\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 对于领导来说，我不存在有很大的便利，可以说明此地没有一个知青被打晕。\n", "--------------------------------------------------\n", "english: For our team leader, my nonexistence was very convenient, because then no one could prove any of the city students had been beaten senseless.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 对于领导来说，我不存在有很大的便利，可以说明此地没有一个知青被打晕。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 因问周瑞家的道：“这老老不知用了早饭没有呢？”\n", "--------------------------------------------------\n", "english: She turned to Zhou Rui's wife. 'I wonder if Grannie has eaten yet today?'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 因问周瑞家的道：“这老老不知用了早饭没有呢？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 可是你使一招，我学一招，最多给你多摔几交，你的法子我总能学了来。”\n", "--------------------------------------------------\n", "english: All I have to do is watch his moves and copy them. He can throw me a few times— I'll soon get the hang of it.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 可是你使一招，我学一招，最多给你多摔几交，你的法子我总能学了来。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 又说道谁家的戏子好，谁家的花园好，又告诉他谁家的丫头标致，谁家的酒席丰盛，又是谁家有奇货，又是谁家有异物。\n", "--------------------------------------------------\n", "english: He told him which household kept the best troupe of players, which had the finest gardens, whose maids were the prettiest, who gave the best parties, and who had the best collection of curiosities or the strangest pets.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 又说道谁家的戏子好，谁家的花园好，又告诉他谁家的丫头标致，谁家的酒席丰盛，又是谁家有奇货，又是谁家有异物。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 乱秧秧的，人家忘了把发的结婚证要回去。 结果陈清扬留了一张。\n", "--------------------------------------------------\n", "english: In the confusion they forgot to take our marriage certificate back, and so Chen Qingyang kept one for herself.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 乱秧秧的，人家忘了把发的结婚证要回去。 结果陈清扬留了一张。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 严家的娘姨是不让随便出来的，又换得勤，所以就连她家娘姨，也像是骄傲的，与人们并不相识。\n", "--------------------------------------------------\n", "english: There was a high turnover among their servants; in any case, they were not permitted to loiter when they went out for errands, so they, too, appeared aloof.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 严家的娘姨是不让随便出来的，又换得勤，所以就连她家娘姨，也像是骄傲的，与人们并不相识。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 老子就吃过。”\n", "--------------------------------------------------\n", "english: Do try some, it's delicious!'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 老子就吃过。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 我问她，碰上了人家怎么说？\n", "--------------------------------------------------\n", "english: I asked, What would the attendant say if he came in right in the middle of things?\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 我问她，碰上了人家怎么说？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 舍我罢！”\n", "--------------------------------------------------\n", "english: Give her to me!'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 舍我罢！”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 可是我偏让她失望。\n", "--------------------------------------------------\n", "english: But I intentionally disappointed her.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 可是我偏让她失望。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 也到底大家想个方法儿才好。\n", "--------------------------------------------------\n", "english: 'But can't we all sit down peaceably and think of a way?\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 也到底大家想个方法儿才好。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 莺儿便说：“明明是个么！”\n", "--------------------------------------------------\n", "english: 'It was an ace,' said Oriole, 'as plain as anything!'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 莺儿便说：“明明是个么！”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 余占鳌走在最后，他猛回转身，双目直逼吃拤饼的人。\n", "--------------------------------------------------\n", "english: Yu Zhan'ao, bringing up the rear, spun around and glared.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 余占鳌走在最后，他猛回转身，双目直逼吃拤饼的人。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 她第一次要我证明她清白无辜时，我翻了一串白眼，然后开始胡说八道。 第二次她要我证明我们俩无辜，我又一本正经地向她建议举行一次性交。\n", "--------------------------------------------------\n", "english: The first time she wanted me to prove her innocence, I looked up at the ceiling and began to talk nonsense; the next time she wanted me to prove our innocence, I earnestly suggested having intercourse with her.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 她第一次要我证明她清白无辜时，我翻了一串白眼，然后开始胡说八道。 第二次她要我证明我们俩无辜，我又一本正经地向她建议举行一次性交。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 说道：“有一点点痛，也没什么有趣。”\n", "--------------------------------------------------\n", "english: But all he said was: 'It hurts a bit. I wouldn't have said it was interesting exactly.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 有一点点痛，也没什么有趣。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 亚热带旱季的阳光把我晒得浑身赤红，痛痒难当，我的小和尚直翘翘地指向天空，尺寸空前。\n", "--------------------------------------------------\n", "english: The sunshine in the subtropical dry season had burned my entire body red, leaving me in an agony of burning and itching. My little Buddha pointed to the sky like an arrow, bigger than ever.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 亚热带旱季的阳光把我晒得浑身赤红，痛痒难当，我的小和尚直翘翘地指向天空，尺寸空前。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 回来的路上扛着她爬坡。\n", "--------------------------------------------------\n", "english: So on the way home I carried her on my shoulder climbing the hills.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 回来的路上扛着她爬坡。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 她要走了……\n", "--------------------------------------------------\n", "english: If she leaves . . .\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 她要走了……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 闷来时敛额，行去几回眸。\n", "--------------------------------------------------\n", "english: Yet, as my brow contracted with new care, Was there not one who, parting, turned to stare?\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 闷来时敛额，行去几回眸。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 还使暗淡生辉。\n", "--------------------------------------------------\n", "english: It had the power to make what was dark and dismal glimmer with light.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 还使暗淡生辉。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 鸡巴！\n", "--------------------------------------------------\n", "english: You pricks!\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 鸡巴！\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 死活凭我去罢了!\n", "--------------------------------------------------\n", "english: Why can't you just leave me here to die in peace?\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 死活凭我去罢了!\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 在夏夜的屋顶上，躺着看星空的其实不止一个孩子，他们心里都是有些鼓荡，不知要往哪里去，就来到屋顶。\n", "--------------------------------------------------\n", "english: And Old Colour certainly wasn't the only one stargazing from the rooftop on those summer nights; the hearts of all these people are restless and unsure of where to go—and so up they go to the rooftops.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 在夏夜的屋顶上，躺着看星空的其实不止一个孩子，他们心里都是有些鼓荡，不知要往哪里去，就来到屋顶。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 至脂砚斋抄阅再评，仍用《石头记》。\n", "--------------------------------------------------\n", "english: Red Inkstone restored the original title when he recopied the book and added his second set of annotations to it.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 至脂砚斋抄阅再评，仍用《石头记》。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 炎武兄眼见事势紧急，忙瞩伊璜先生家人连夜躲避；想起伊璜先生和晚村兄交好，特来探访。”\n", "--------------------------------------------------\n", "english: In view of the urgency, Yanwu advised the family to make their getaway as soon as it was dark. Then, remembering that Yihuang was a good friend of yours, we thought we'd come and look for him here, '\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 炎武兄眼见事势紧急，忙瞩伊璜先生家人连夜躲避；想起伊璜先生和晚村兄交好，特来探访。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 不看僧面看佛面，不看鱼面看水面，不看我的面子也要看豆官的面子上，留下吧，你要我…… 我也给你…… 你就像我的爹一样……”\n", "--------------------------------------------------\n", "english: 'If not for the sake of the monk, stay for the Buddha. If not for the sake of the fish, stay for the water. If not for my sake, stay for little Douguan. You can have me, if you want. . . . You're like my own father. . . .'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 不看僧面看佛面，不看鱼面看水面，不看我的面子也要看豆官的面子上，留下吧，你要我…… 我也给你…… 你就像我的爹一样……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 我师意为如何？”\n", "--------------------------------------------------\n", "english: What does your reverence say to that?'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 我师意为如何？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 晚村兄何不便题诗一首，将二瞻先生之意，表而出之？”\n", "--------------------------------------------------\n", "english: Why don't you do an inscription, Liuliang — a poem that will give voice to what Erzhan had in mind to say?'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 晚村兄何不便题诗一首，将二瞻先生之意，表而出之？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 我是个什么东西儿!\n", "--------------------------------------------------\n", "english: What sort of creature do you take me for?\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 我是什么东西儿!\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 只是父亲、伯叔、兄弟之伦，因是圣人遗训，不敢违忤，所以弟兄间亦不过尽其大概就罢了，并不想自己是男子，须要为子弟之表率。\n", "--------------------------------------------------\n", "english: Only in the case of his father, uncles and brother, where rudeness and disobedience were expressly forbidden by the teachings of Confucius, did he make an exception – and even then the allowances he made in respect of the fraternal bond were extremely perfunctory. It certainly never occurred to him that his own maleness placed him under any obligation to set an example to the younger males in his clan.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 只是父亲、伯叔、兄弟之伦，因是圣人遗训，不敢违忤，所以弟兄间亦不过尽其大概就罢了，并不想自己是男子，须要为子弟之表率。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 二十年前，他们看承你们还好，如今是你们拉硬屎，不肯去就和他，才疏远起来。\n", "--------------------------------------------------\n", "english: Twenty years ago the Nanking Wangs used to be very good to you folk. It's only because of late years you have been too stiff-necked to approach them that they have become more distant with you.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 二十年前，他们看承你们还好，如今是你们拉硬屎，不肯去就和他，才疏远起来。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 可是陈清扬又从山上跑下来找我。\n", "--------------------------------------------------\n", "english: But Chen Qingyang came down the mountain again to see me.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 可是陈清扬又从山上跑下来找我。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 吕留良道：“他…… 他却没有来。\n", "--------------------------------------------------\n", "english: 'No, ' said Lü, 'no, he's not here.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 吕留良道：“他…… 他却没有来。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 成麻子逢人便说：“你们怕什么？ 愁什么？\n", "--------------------------------------------------\n", "english: 'What are you afraid of?' Pocky Cheng asked everyone he met.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 成麻子逢人便说：“你们怕什么？ 愁什么？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 你没净身，我给你净了也不打紧，只不过，唉，迟了，迟了。”\n", "--------------------------------------------------\n", "english: You haven't been purified, of course, but that's no problem. I could have done the cutting for you. Ah, it's a pity. Too late. Just too late.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 你没净身，我给你净了也不打紧，只不过，唉，迟了，迟了。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 蕊初低声道：“我…… 我……”\n", "--------------------------------------------------\n", "english: 'I. . . I. . .' Blossom began.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 蕊初低声道：“我…… 我……”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 说着出屋而去。\n", "--------------------------------------------------\n", "english: And with that he left the room.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 说着出屋而去。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 怎么不借给温家哥儿俩？”\n", "--------------------------------------------------\n", "english: You could at least have lent to one of the Wen brothers!'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 怎么不借给温家哥儿俩？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 总舵主，你如许我入会，我可快活死啦。”\n", "--------------------------------------------------\n", "english: If you'll let me join, Helmsman, I'll be the happiest boy in the world.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 总舵主，你如许我入会，我可快活死啦。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 见到他们尸首的时候……\n", "--------------------------------------------------\n", "english: When I saw their bodies ...\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 见到他们尸首的时候……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 依我说，你竟家去住两日，请一个大夫来瞧瞧，吃两剂药，就好了。”\n", "--------------------------------------------------\n", "english: 'If you ask me, I think you ought to go home for a day or two and call in a doctor. I expect you need some medicine.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 依我说，你竟家去住两日，请一个大夫来瞧瞧，吃两剂药，就好了。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 小红道：“也犯不着气他们。\n", "--------------------------------------------------\n", "english: 'I don't see much point in getting angry,' said Crimson.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 小红道：“也犯不着气他们。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 三闷儿爬起来，抢了一把三齿要砍我，别人劝开了。\n", "--------------------------------------------------\n", "english: He got up, grabbed a pitchfork, and tried to stab me, but somebody stopped him.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 三闷儿爬起来，抢了一把三齿要砍我，别人劝开了。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 凤姐道：“正是呢。\n", "--------------------------------------------------\n", "english: 'Yes, indeed!' said Xi-feng.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 凤姐道：“正是呢。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 不过三年五载，各人干各人的去了，那时谁还管谁呢？”\n", "--------------------------------------------------\n", "english: Another four or five years from now when we've each gone our different ways it won't matter any longer what all the rest of us are doing.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 不过三年五载，各人干各人的去了，那时谁还管谁呢？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 而像我这样儿在基层摸爬滚打了十几年的重案刑警，受到了他们最好的培养和教育。”\n", "--------------------------------------------------\n", "english: And someone like me, a criminal cop who has been playing cat and mouse with them for more than a decade, has received the best education and training from them.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 而像我这样儿在基层摸爬滚打了十几年的重案刑警，受到了他们最好的培养和教育。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 旁边伏侍的人只见他先还拿着镜子照，落下来，仍睁开眼拾在手内，末后镜子掉下来，便不动了。\n", "--------------------------------------------------\n", "english: To those who stood around the bed and watched him while this was happening he appeared first to be holding up the mirror and looking into it, then to let it drop; then to open his eyes in a ghastly stare and pick it up again; then, as it once more fell from his grasp, he finally ceased to move.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 旁边伏侍的人只见他先还拿着镜子照，落下来，仍睁开眼拾在手内，末后镜子掉下来，便不动了。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\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", "gpt-4o-mini/shots-05: 海老公摇头道：“好什么？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 太太听见气死过去了，这会子叫我来拿你。\n", "--------------------------------------------------\n", "english: When Lady Wang first heard, she was so angry that she fainted, but now she's come round again and is asking for you to be brought to her.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 太太听见气死过去了，这会子叫我来拿你。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 补我一枪吧……”\n", "--------------------------------------------------\n", "english: Shoot me, please. . . .'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 补我一枪吧……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 说完这小免崽子就往河岸上窜，想一走了之。\n", "--------------------------------------------------\n", "english: After saying this, the little bastard tried to leap onto the bank to escape.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 说完这小免崽子就往河岸上窜，想一走了之。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 住在刘大爹后山上时，我用它给人看手表。\n", "--------------------------------------------------\n", "english: I used them to fix watches while living on Grandpa Liu's back slope.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 住在刘大爹后山上时，我用它给人看手表。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 他想着：“兄弟们一并都有父母教训，何必我多事，反生疏了。 况且我是正出，他是庶出，饶这样看待，还有人背后谈论，还禁得辖治了他？”\n", "--------------------------------------------------\n", "english: 'We are both equally subject to our parents' control,' he would say of himself and Jia Huan. 'Why should I create a greater distance between us by trying to control him myself – especially when I am the wife's son and he is the concubine's? People already talk behind our backs, even when I do nothing. It would be ten times worse if I were to start bossing him about.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 他想着：“兄弟们一并都有父母教训，何必我多事，反生疏了。 况且我是正出，他是庶出，饶这样看待，还有人背后谈论，还禁得辖治了他？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 不带我去，立刻便扠死你。”\n", "--------------------------------------------------\n", "english: Take me to her, or I'll strangle you this minute.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 不带我去，立刻便扠死你。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 我倒再照照正面是什么？”\n", "--------------------------------------------------\n", "english: But let me see what happens when I look into the other side!'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 我倒再照照正面是什么？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 我倒听见说你辛苦了好几天。”\n", "--------------------------------------------------\n", "english: I hear you've been very busy these last few days.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 我倒听见说你辛苦了好几天。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 要是白来逛逛呢便罢； 有什么说的，只管告诉二奶奶。’”\n", "--------------------------------------------------\n", "english: And she says if it's just an ordinary visit she has nothing more to add; but if they have anything particular to say, she says tell them that they can say it to you instead.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 要是白来逛逛呢便罢； 有什么说的，只管告诉二奶奶。’”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 因见上面大旨不过谈情，亦只是实录其事，绝无伤时诲淫之病，方从头至尾抄写回来，闻世传奇。\n", "--------------------------------------------------\n", "english: He could see that its main theme was love; that it consisted quite simply of a true record of real events; and that it was entirely free from any tendency to deprave and corrupt. He therefore copied it all out from beginning to end and took it back with him to look for a publisher.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 因见上面大旨不过谈情，亦只是实录其事，绝无伤时诲淫之病，方从头至尾抄写回来，闻世传奇。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 说着便同士隐复过这边书院中来了。\n", "--------------------------------------------------\n", "english: And he accompanied Shi-yin back to the study next door.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 说着便同士隐复过这边书院中来了。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: “不吱声？\n", "--------------------------------------------------\n", "english: 'No answer?\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: “不吱声？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 我所能交待的事就是在地头休息时摸她的乳房。\n", "--------------------------------------------------\n", "english: What I could confess was that I fondled her breasts when we rested at the edge of the field.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 我所能交待的事就是在地头休息时摸她的乳房。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 士隐因说道：“适闻仙师所谈因果，实人世罕闻者；但弟子愚拙，不能洞悉明白。\n", "--------------------------------------------------\n", "english: 'It is not often that one has the opportunity of listening to a discussion of the operations of karma such as the one I have just been privileged to overhear,'said Shi-yin. 'Unfortunately I am a man of very limited understanding and have not been able to derive the full benefit from your conversation.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 士隐因说道：“适闻仙师所谈因果，实人世罕闻者；但弟子愚拙，不能洞悉明白。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 我都听见了。”\n", "--------------------------------------------------\n", "english: I heard you say it.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 我都听见了。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 找了半天，都是秃的，因说道：“前儿一枝新笔放在那里了? 怎么想不起来？”\n", "--------------------------------------------------\n", "english: After rummaging for several minutes she had only succeeded in finding a few worn-out ones, too moulted for use. 'Funny!' she said. 'I could have sworn I put a new one in there the other day ...'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 找了半天，都是秃的，因说道：“前儿一枝新笔放在那里了? 怎么想不起来？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 怎么敦？ 正着敦反着敦？\n", "--------------------------------------------------\n", "english: How do you want to strengthen it, from the front or from the back?\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 怎么敦？ 正着敦反着敦？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 后来我活过来了，说道：换换，你看我的，我就翻到上面去。\n", "--------------------------------------------------\n", "english: After a while I came back to life and said: Let's switch. Here we go. So I rolled over onto her body.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 后来我活过来了，说道：换换，你看我的，我就翻到上面去。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 那小孩点头道：“我明白了。\n", "--------------------------------------------------\n", "english: 'I know,' said the boy.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 那小孩点头道：“我明白了。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 其盘费余事，弟自代为处置，亦不枉兄之谬识矣。”\n", "--------------------------------------------------\n", "english: I shall take care of all your expenses. It is the least return I can make for your friendship.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 其盘费余事，弟自代为处置，亦不枉兄之谬识矣。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 自己又不尊重，要往下流里走，安着坏心，还只怨人家偏心呢。\n", "--------------------------------------------------\n", "english: You've no self-respect, that's your trouble. Can't keep away from the gutter. You insist on making yourself disagreeable and then you complain that people are prejudiced against you!\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 自己又不尊重，要往下流里走，安着坏心，还只怨人家偏心呢。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 做你娘的美梦！”\n", "--------------------------------------------------\n", "english: You're fucking dreaming!'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 做你娘的美梦！”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 到了这个时候我才悟到，犯不着向人证明我存在。\n", "--------------------------------------------------\n", "english: By then I began to realize that it was really unnecessary for me to prove my existence to others.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 到了这个时候我才悟到，犯不着向人证明我存在。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 她说，女儿建议她去做整容手术。 但是她没时间做。\n", "--------------------------------------------------\n", "english: She said her daughter suggested that she have plastic surgery, but she couldn't find time to do it.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 她说，女儿建议她去做整容手术。 但是她没时间做。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 对我一刻也不能放松。\n", "--------------------------------------------------\n", "english: People shouldn't let up on me for a minute.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-05: 对我一刻也不能放松。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-05: 1\n", "### Analyzing: gpt-4o-mini/shots-10\n", "*** Found 0 rows with total_repetitions > 50 for gpt-4o-mini/shots-10\n", "\n", "*** Found 0 rows with output_tokens >= 300 for gpt-4o-mini/shots-10\n", "\n", "*** Found 79 rows with incomplete translations for gpt-4o-mini/shots-10\n", "--------------------------------------------------\n", "chinese: 因问贾环：“你输了多少钱？”\n", "--------------------------------------------------\n", "english: How much did you lose?'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 因问贾环：“你输了多少钱？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 你说么，这几年不见，我就忘了。\n", "--------------------------------------------------\n", "english: It's so many years since I saw you last, I'd forgotten all about you!\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 你说么，这几年不见，我就忘了。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 这种时候我心里很乱。\n", "--------------------------------------------------\n", "english: Then I would feel confused.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 这种时候我心里很乱。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 一是我在慰问团面前说出了曾经被打晕的事，叫军代表很没面子；二是争风吃醋，所以他一直修理我。\n", "--------------------------------------------------\n", "english: Firstly, I told the relief delegation that I had been beaten unconscious, which made the military deputy lose face; secondly, he and I fought over a woman, which was why he was always trying to screw me.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: One is that I mentioned in front of the慰问团 that I had once been knocked unconscious, which embarrassed the military representative; the second is jealousy, so he has been fixing me all along.\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 不知到了何处。”\n", "--------------------------------------------------\n", "english: I don't know where he can have gone.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 不知到了何处。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 还有那一次谋杀……\n", "--------------------------------------------------\n", "english: And those murders ...\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 还有那一次谋杀……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 在山上敦伟大友谊时，嘴里喷出白气。\n", "--------------------------------------------------\n", "english: While we were strengthening our great friendship on the mountain, white breath puffed from our mouths.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 在山上敦伟大友谊时，嘴里喷出白气。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝伸出了舌头，半天缩不进去，随即喜欢得心痒难搔，笑道：“我一定不做坏事。\n", "--------------------------------------------------\n", "english: Trinket stuck his tongue out in amazement and it was some time before he could put it back in again. Yet his overriding feeling was not of amazement but of happiness that he had got this heroic strong man for his teacher. 'I promise you I won't ever do anything bad,' he said.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 韦小宝伸出了舌头，半天缩不进去，随即喜欢得心痒难搔，笑道：“我一定不做坏事。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 鸡巴，感觉非常之好的啦！\n", "--------------------------------------------------\n", "english: Fuck, I felt terrific.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 鸡巴，感觉非常之好的啦！\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 咱们两个说话儿不好？”\n", "--------------------------------------------------\n", "english: 'Why can't we both sit here and talk?'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 我们两个说话儿不好？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 惯养娇生笑你痴，菱花空对雪澌澌。\n", "--------------------------------------------------\n", "english: 'Fond man, your pampered child to cherish so— That caltrop-glass which shines on melting snow!\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 惯养娇生笑你痴，菱花空对雪澌澌。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 我就静静的躺一躺也好啊。”\n", "--------------------------------------------------\n", "english: I shall be all right if I lie here quietly on my own.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 我就静静的躺一躺也好啊。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 回来赶围棋儿，又该你闹‘么爱三’了。”\n", "--------------------------------------------------\n", "english: Presently, when you're playing Racing Go, you'll be all 'thicktheth' and 'theventh' !'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 回来赶围棋儿，又该你闹‘么爱三’了。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: “有…… 没有…… 有…… 没有……\n", "--------------------------------------------------\n", "english: 'Yes . . . no . . . yes . . . no . . .\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: “有…… 没有…… 有…… 没有……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 勒都！\n", "--------------------------------------------------\n", "english: Le Du!\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 勒都！\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 怪没意思的。\n", "--------------------------------------------------\n", "english: 'Just sitting here talking is going to be rather dull.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 怪没意思的。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 等我来再走。”\n", "--------------------------------------------------\n", "english: You can go when I come for you.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 等我来再走。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 因为这些事我无从想象，所以是我存在的证明。\n", "--------------------------------------------------\n", "english: Since I couldn't imagine these things, they must be evidence of my existence.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 因为这些事我无从想象，所以是我存在的证明。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 你…… 你可摔痛了没有？”\n", "--------------------------------------------------\n", "english: Did you hurt yourself?'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 你…… 你可摔痛了没有？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 奶奶心中的祷语把她的芳唇冲动。\n", "--------------------------------------------------\n", "english: Her silent prayer made her delicate lips tremble.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 奶奶心中的祷语把她的芳唇冲动。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 周瑞家的道：“我的娘!\n", "--------------------------------------------------\n", "english: 'My dear good woman,' said the latter when they were out of earshot, 'whatever came over you?\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 周瑞家的道：“我的娘!\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 豆官，你的枪呢？”\n", "--------------------------------------------------\n", "english: Douguan, where's your gun?'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 豆官，你的枪呢？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 我可那里敢挑他呢？”\n", "--------------------------------------------------\n", "english: I should never dare to find fault with her.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 我可那里敢挑他呢？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 烦那位太爷替我请他出来。”\n", "--------------------------------------------------\n", "english: Could I trouble one of you gentlemen to fetch him out for me?'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 烦那位太爷替我请他出来。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n", "--------------------------------------------------\n", "english: short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 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", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 待雄飞高举，明冬再晤，岂非大快之事！”\n", "--------------------------------------------------\n", "english: How delightful it will be to meet again next winter when you have distinguished yourself by soaring to the top over all the other candidates!'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 待雄飞高举，明冬再晤，岂非大快之事！”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 只是许多时不走动，知道他如今是怎样?\n", "--------------------------------------------------\n", "english: 'But it's a long time since you had anything to do with him and hard to say how he may prove after all these years.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 只是许多时不走动，知道他如今是怎样?\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 自己要睡，天气尚早。\n", "--------------------------------------------------\n", "english: He thought of going to bed himself, but it was still too early.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 自己要睡，天气尚早。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 你只顾一时为我得罪了人，他们都记在心里，遇着坎儿，说的好说不好听的，大家什么意思呢？”\n", "--------------------------------------------------\n", "english: You don't seem to realize. You offend people on my account and the next moment you've forgotten all about it. But they haven't. It's all scored up against me; and as soon as something goes a bit wrong, they come out with all these horrible things about me. It makes it so unpleasant for all of us.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 你只顾一时为我得罪了人，他们都记在心里，遇着坎儿，说的好说不好听的，大家什么意思呢？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 不过…… 不过……”\n", "--------------------------------------------------\n", "english: 'But. . . but—'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 不过…… 不过……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 等着奶奶下来，我细细儿的回明了，想来奶奶也不至嗔着我莽撞的。”\n", "--------------------------------------------------\n", "english: I thought I would wait for the young mistress to come back and explain it all to her. I hope she won't be angry with me for pushing myself forward.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 等着奶奶下来，我细细儿的回明了，想来奶奶也不至嗔着我莽撞的。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 我那里那么大工夫管这些事?\n", "--------------------------------------------------\n", "english: I told her, I've got better things to do with my time than go looking for people's handkerchiefs.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 我那里那么大工夫管这些事?\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 蕊初道：“花园里有大海龟吗？\n", "--------------------------------------------------\n", "english: 'I didn't know there were any in the Palace,' said Blossom.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 蕊初道：“花园里有大海龟吗？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 能不能十个打他们一个？”\n", "--------------------------------------------------\n", "english: Enough to fight them ten to one?'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 能不能十个打他们一个？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 你那里肯往我这里来？”\n", "--------------------------------------------------\n", "english: 'What would you want to come here for?'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 你那里肯往我这里来？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 蕊初道：“我…… 我在这里玩儿！”\n", "--------------------------------------------------\n", "english: 'I'm just. . . just playing,' said Blossom.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 蕊初道：“我…… 我在这里玩儿！”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 侧过了头倾听。\n", "--------------------------------------------------\n", "english: He cocked his head to listen.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 侧过了头倾听。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 又伸手在他头颈两侧轻轻一按。\n", "--------------------------------------------------\n", "english: Old Hai reached out his hand and pressed lightly on either side of Trinket's neck.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 又伸手在他头颈两侧轻轻一按。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 因问周瑞家的道：“这老老不知用了早饭没有呢？”\n", "--------------------------------------------------\n", "english: She turned to Zhou Rui's wife. 'I wonder if Grannie has eaten yet today?'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 因问周瑞家的道：“这老老不知用了早饭没有呢？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 他也想去赶街，可是不到放我们回去的时候，让我们呆在这里无人看管，又不合规定。\n", "--------------------------------------------------\n", "english: He also wanted to go to the market, but it wasn't time to release us yet and leaving us unattended was against the rules.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 他也想去赶街，可是不到放我们回去的时候，让我们呆在这里无人看管，又不合规定。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 可是你使一招，我学一招，最多给你多摔几交，你的法子我总能学了来。”\n", "--------------------------------------------------\n", "english: All I have to do is watch his moves and copy them. He can throw me a few times— I'll soon get the hang of it.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 可是你使一招，我学一招，最多给你多摔几交，你的法子我总能学了来。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 我问她，碰上了人家怎么说？\n", "--------------------------------------------------\n", "english: I asked, What would the attendant say if he came in right in the middle of things?\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 我问她，碰上了人家怎么说？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 就去解乳罩。\n", "--------------------------------------------------\n", "english: So she started to undo her bra.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 就去解乳罩。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 舍我罢！”\n", "--------------------------------------------------\n", "english: Give her to me!'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 舍我罢！\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 也到底大家想个方法儿才好。\n", "--------------------------------------------------\n", "english: 'But can't we all sit down peaceably and think of a way?\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 也到底大家想个方法儿才好。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 说道：“有一点点痛，也没什么有趣。”\n", "--------------------------------------------------\n", "english: But all he said was: 'It hurts a bit. I wouldn't have said it was interesting exactly.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 说道：“有一点点痛，也没什么有趣。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 回来的路上扛着她爬坡。\n", "--------------------------------------------------\n", "english: So on the way home I carried her on my shoulder climbing the hills.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 回来的路上扛着她爬坡。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 她要走了……\n", "--------------------------------------------------\n", "english: If she leaves . . .\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 她要走了……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 说着又将匕首移近数寸。\n", "--------------------------------------------------\n", "english: While he was saying this he managed to move the dagger a few inches nearer.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 说着又将匕首移近数寸。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 闷来时敛额，行去几回眸。\n", "--------------------------------------------------\n", "english: Yet, as my brow contracted with new care, Was there not one who, parting, turned to stare?\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 闷来时敛额，行去几回眸。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 鸡巴！\n", "--------------------------------------------------\n", "english: You pricks!\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 鸡巴！\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 假如当初我退回山上去，这样的事就会发生。\n", "--------------------------------------------------\n", "english: If I had returned to the mountains then, that would have happened.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 假如当初我退回山上去，这样的事就会发生。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 死活凭我去罢了!\n", "--------------------------------------------------\n", "english: Why can't you just leave me here to die in peace?\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 死活凭我去罢了!\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 同时她揪住乳头往下拉，以示耷拉之状。\n", "--------------------------------------------------\n", "english: Meanwhile, she pulled her breasts down by the nipples to show me where they would reach.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 同时她揪住乳头往下拉，以示耷拉之状。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 我师意为如何？”\n", "--------------------------------------------------\n", "english: What does your reverence say to that?'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 我师意为如何？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\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", "gpt-4o-mini/shots-10: 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", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 只是父亲、伯叔、兄弟之伦，因是圣人遗训，不敢违忤，所以弟兄间亦不过尽其大概就罢了，并不想自己是男子，须要为子弟之表率。\n", "--------------------------------------------------\n", "english: Only in the case of his father, uncles and brother, where rudeness and disobedience were expressly forbidden by the teachings of Confucius, did he make an exception – and even then the allowances he made in respect of the fraternal bond were extremely perfunctory. It certainly never occurred to him that his own maleness placed him under any obligation to set an example to the younger males in his clan.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 只是父亲、伯叔、兄弟之伦，因是圣人遗训，不敢违忤，所以弟兄间亦不过尽其大概就罢了，并不想自己是男子，须要为子弟之表率。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 可是陈清扬又从山上跑下来找我。\n", "--------------------------------------------------\n", "english: But Chen Qingyang came down the mountain again to see me.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 可是陈清扬又从山上跑下来找我。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 吕留良道：“他…… 他却没有来。\n", "--------------------------------------------------\n", "english: 'No, ' said Lü, 'no, he's not here.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 吕留良道：“他…… 他却没有来。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 蕊初低声道：“我…… 我……”\n", "--------------------------------------------------\n", "english: 'I. . . I. . .' Blossom began.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 蕊初低声道：“我…… 我……”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 说着出屋而去。\n", "--------------------------------------------------\n", "english: And with that he left the room.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 说着出屋而去。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 怎么不借给温家哥儿俩？”\n", "--------------------------------------------------\n", "english: You could at least have lent to one of the Wen brothers!'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 怎么不借给温家哥儿俩？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 见到他们尸首的时候……\n", "--------------------------------------------------\n", "english: When I saw their bodies ...\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 见到他们尸首的时候……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 三闷儿爬起来，抢了一把三齿要砍我，别人劝开了。\n", "--------------------------------------------------\n", "english: He got up, grabbed a pitchfork, and tried to stab me, but somebody stopped him.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 三闷儿爬起来，抢了一把三齿要砍我，别人劝开了。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 太太听见气死过去了，这会子叫我来拿你。\n", "--------------------------------------------------\n", "english: When Lady Wang first heard, she was so angry that she fainted, but now she's come round again and is asking for you to be brought to her.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 太太听见气死过去了，这会子叫我来拿你。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 补我一枪吧……”\n", "--------------------------------------------------\n", "english: Shoot me, please. . . .'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 补我一枪吧……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 他想着：“兄弟们一并都有父母教训，何必我多事，反生疏了。 况且我是正出，他是庶出，饶这样看待，还有人背后谈论，还禁得辖治了他？”\n", "--------------------------------------------------\n", "english: 'We are both equally subject to our parents' control,' he would say of himself and Jia Huan. 'Why should I create a greater distance between us by trying to control him myself – especially when I am the wife's son and he is the concubine's? People already talk behind our backs, even when I do nothing. It would be ten times worse if I were to start bossing him about.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 他想着：“兄弟们一并都有父母教训，何必我多事，反生疏了。 况且我是正出，他是庶出，饶这样看待，还有人背后谈论，还禁得辖治了他？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 不带我去，立刻便扠死你。”\n", "--------------------------------------------------\n", "english: Take me to her, or I'll strangle you this minute.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 不带我去，立刻便扠死你。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 我倒再照照正面是什么？”\n", "--------------------------------------------------\n", "english: But let me see what happens when I look into the other side!'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 我倒再照照正面是什么？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 胡思乱想，一夜也不曾合眼。\n", "--------------------------------------------------\n", "english: Torn by these violent and conflicting emotions, he passed the whole night without a single wink of sleep.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 胡思乱想，一夜也不曾合眼。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 贾环便瞪着眼，“六！” “七！” “八！” 混叫。\n", "--------------------------------------------------\n", "english: 'Six! Seven! Eight!' shouted Jia Huan glaring at Oriole and commanding the die to perform the impossible.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 贾环便瞪着眼，“六！” “七！” “八！” 混叫。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 余司令问。\n", "--------------------------------------------------\n", "english: Commander Yu asked him.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 余司令问。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 说着便同士隐复过这边书院中来了。\n", "--------------------------------------------------\n", "english: And he accompanied Shi-yin back to the study next door.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 说着便同士隐复过这边书院中来了。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 找了半天，都是秃的，因说道：“前儿一枝新笔放在那里了? 怎么想不起来？”\n", "--------------------------------------------------\n", "english: After rummaging for several minutes she had only succeeded in finding a few worn-out ones, too moulted for use. 'Funny!' she said. 'I could have sworn I put a new one in there the other day ...'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 找了半天，都是秃的，因说道：“前儿一枝新笔放在那里了? 怎么想不起来？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 怎么敦？ 正着敦反着敦？\n", "--------------------------------------------------\n", "english: How do you want to strengthen it, from the front or from the back?\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 怎么敦？ 正着敦反着敦？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 后来我活过来了，说道：换换，你看我的，我就翻到上面去。\n", "--------------------------------------------------\n", "english: After a while I came back to life and said: Let's switch. Here we go. So I rolled over onto her body.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 后来我活过来了，说道：换换，你看我的，我就翻到上面去。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 其盘费余事，弟自代为处置，亦不枉兄之谬识矣。”\n", "--------------------------------------------------\n", "english: I shall take care of all your expenses. It is the least return I can make for your friendship.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 其盘费余事，弟自代为处置，亦不枉兄之谬识矣。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 自己又不尊重，要往下流里走，安着坏心，还只怨人家偏心呢。\n", "--------------------------------------------------\n", "english: You've no self-respect, that's your trouble. Can't keep away from the gutter. You insist on making yourself disagreeable and then you complain that people are prejudiced against you!\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 自己又不尊重，要往下流里走，安着坏心，还只怨人家偏心呢。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 对我一刻也不能放松。\n", "--------------------------------------------------\n", "english: People shouldn't let up on me for a minute.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-10: 对我一刻也不能放松。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-10: 1\n", "### Analyzing: gpt-4o-mini/shots-50\n", "*** Found 0 rows with total_repetitions > 50 for gpt-4o-mini/shots-50\n", "\n", "*** Found 0 rows with output_tokens >= 300 for gpt-4o-mini/shots-50\n", "\n", "*** Found 32 rows with incomplete translations for gpt-4o-mini/shots-50\n", "--------------------------------------------------\n", "chinese: 这种时候我心里很乱。\n", "--------------------------------------------------\n", "english: Then I would feel confused.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-50: 这种时候我心里很乱。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 一是我在慰问团面前说出了曾经被打晕的事，叫军代表很没面子；二是争风吃醋，所以他一直修理我。\n", "--------------------------------------------------\n", "english: Firstly, I told the relief delegation that I had been beaten unconscious, which made the military deputy lose face; secondly, he and I fought over a woman, which was why he was always trying to screw me.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-50: I mentioned in front of the慰问团 that I had once been knocked unconscious, which embarrassed the military representative; secondly, there was jealousy involved, so he has been constantly picking on me.\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 不知到了何处。”\n", "--------------------------------------------------\n", "english: I don't know where he can have gone.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-50: 不知到了何处。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 还有那一次谋杀……\n", "--------------------------------------------------\n", "english: And those murders ...\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-50: 还有那一次谋杀……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 你难道就知道你的心，不知道我的心不成？”\n", "--------------------------------------------------\n", "english: Do you mean to tell me that you know your own feelings about me but still don't know what my feelings are about you?'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-50: You难道就知道你的心，不知道我的心不成？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 在山上敦伟大友谊时，嘴里喷出白气。\n", "--------------------------------------------------\n", "english: While we were strengthening our great friendship on the mountain, white breath puffed from our mouths.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-50: 在山上敦伟大友谊时，嘴里喷出白气。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 鸡巴，感觉非常之好的啦！\n", "--------------------------------------------------\n", "english: Fuck, I felt terrific.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-50: 鸡巴，感觉非常之好的啦！\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 惯养娇生笑你痴，菱花空对雪澌澌。\n", "--------------------------------------------------\n", "english: 'Fond man, your pampered child to cherish so— That caltrop-glass which shines on melting snow!\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-50: 惯养娇生笑你痴，菱花空对雪澌澌。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 回来赶围棋儿，又该你闹‘么爱三’了。”\n", "--------------------------------------------------\n", "english: Presently, when you're playing Racing Go, you'll be all 'thicktheth' and 'theventh' !'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-50: 回来赶围棋儿，又该你闹‘么爱三’了。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-50: 1\n", "--------------------------------------------------\n", "chinese: “有…… 没有…… 有…… 没有……\n", "--------------------------------------------------\n", "english: 'Yes . . . no . . . yes . . . no . . .\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-50: “有…… 没有…… 有…… 没有……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 勒都！\n", "--------------------------------------------------\n", "english: Le Du!\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-50: 勒都！\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 等我来再走。”\n", "--------------------------------------------------\n", "english: You can go when I come for you.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-50: 等我来再走。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 奶奶心中的祷语把她的芳唇冲动。\n", "--------------------------------------------------\n", "english: Her silent prayer made her delicate lips tremble.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-50: 奶奶心中的祷语把她的芳唇冲动。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n", "--------------------------------------------------\n", "english: short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-50: 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", "count_chinese_characters-gpt-4o-mini/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 只是许多时不走动，知道他如今是怎样?\n", "--------------------------------------------------\n", "english: 'But it's a long time since you had anything to do with him and hard to say how he may prove after all these years.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-50: 只是许多时不走动，知道他如今是怎样?\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 自己要睡，天气尚早。\n", "--------------------------------------------------\n", "english: He thought of going to bed himself, but it was still too early.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-50: 自己要睡，天气尚早。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 不过…… 不过……”\n", "--------------------------------------------------\n", "english: 'But. . . but—'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-50: 不过…… 不过……”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 等着奶奶下来，我细细儿的回明了，想来奶奶也不至嗔着我莽撞的。”\n", "--------------------------------------------------\n", "english: I thought I would wait for the young mistress to come back and explain it all to her. I hope she won't be angry with me for pushing myself forward.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-50: 等着奶奶下来，我细细儿的回明了，想来奶奶也不至嗔着我莽撞的。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 你那里肯往我这里来？”\n", "--------------------------------------------------\n", "english: 'What would you want to come here for?'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-50: 你那里肯往我这里来？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 会开得很乱。\n", "--------------------------------------------------\n", "english: The meeting was a complete mess.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-50: 会开得很乱。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 青天哟——蓝天哟——花花绿绿的天哟——棒槌哟亲哥哟你死了——可就塌了妹妹的天哟——\n", "--------------------------------------------------\n", "english: A blue sky yo – a sapphire sky yo – a painted sky yo – a mighty cudgel yo – dear elder brother yo – death has claimed you – you have brought down little sister's sky yo –.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-50: 青天哟——蓝天哟——花花绿绿的天哟——棒槌哟亲哥哟你死了——可就塌了妹妹的天哟——\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 对于领导来说，我不存在有很大的便利，可以说明此地没有一个知青被打晕。\n", "--------------------------------------------------\n", "english: For our team leader, my nonexistence was very convenient, because then no one could prove any of the city students had been beaten senseless.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-50: 对于领导来说，我不存在有很大的便利，可以说明此地没有一个知青被打晕。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 乱秧秧的，人家忘了把发的结婚证要回去。 结果陈清扬留了一张。\n", "--------------------------------------------------\n", "english: In the confusion they forgot to take our marriage certificate back, and so Chen Qingyang kept one for herself.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-50: 乱秧秧的，人家忘了把发的结婚证要回去。 结果陈清扬留了一张。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 舍我罢！”\n", "--------------------------------------------------\n", "english: Give her to me!'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-50: 舍我罢！\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 我逃跑是晚上的事。\n", "--------------------------------------------------\n", "english: In the evening I made my escape.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-50: I逃跑是晚上的事。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 鸡巴！\n", "--------------------------------------------------\n", "english: You pricks!\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-50: 鸡巴！\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 不看僧面看佛面，不看鱼面看水面，不看我的面子也要看豆官的面子上，留下吧，你要我…… 我也给你…… 你就像我的爹一样……”\n", "--------------------------------------------------\n", "english: 'If not for the sake of the monk, stay for the Buddha. If not for the sake of the fish, stay for the water. If not for my sake, stay for little Douguan. You can have me, if you want. . . . You're like my own father. . . .'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-50: 不看僧面看佛面，不看鱼面看水面，不看我的面子也要看豆官的面子上，留下吧，你要我…… 我也给你…… 你就像我的爹一样……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 说着出屋而去。\n", "--------------------------------------------------\n", "english: And with that he left the room.\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-50: 说着出屋而去。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 补我一枪吧……”\n", "--------------------------------------------------\n", "english: Shoot me, please. . . .'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-50: 补我一枪吧……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 怎么敦？ 正着敦反着敦？\n", "--------------------------------------------------\n", "english: How do you want to strengthen it, from the front or from the back?\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-50: 怎么敦？ 正着敦反着敦？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 其盘费余事，弟自代为处置，亦不枉兄之谬识矣。”\n", "--------------------------------------------------\n", "english: I shall take care of all your expenses. It is the least return I can make for your friendship.'\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-50: 其盘费余事，弟自代为处置，亦不枉兄之谬识矣。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 自己又不尊重，要往下流里走，安着坏心，还只怨人家偏心呢。\n", "--------------------------------------------------\n", "english: You've no self-respect, that's your trouble. Can't keep away from the gutter. You insist on making yourself disagreeable and then you complain that people are prejudiced against you!\n", "--------------------------------------------------\n", "gpt-4o-mini/shots-50: 自己又不尊重，要往下流里走，安着坏心，还只怨人家偏心呢。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o-mini/shots-50: 1\n", "### Analyzing: gpt-4o/shots-00\n", "*** Found 0 rows with total_repetitions > 50 for gpt-4o/shots-00\n", "\n", "*** Found 0 rows with output_tokens >= 300 for gpt-4o/shots-00\n", "\n", "*** Found 26 rows with incomplete translations for gpt-4o/shots-00\n", "--------------------------------------------------\n", "chinese: 因问贾环：“你输了多少钱？”\n", "--------------------------------------------------\n", "english: How much did you lose?'\n", "--------------------------------------------------\n", "gpt-4o/shots-00: 因问贾环：“你输了多少钱？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 宝玉便说：“打宝姐姐那里来。”\n", "--------------------------------------------------\n", "english: 'Bao-chai's.'\n", "--------------------------------------------------\n", "gpt-4o/shots-00: 宝玉便说：“打宝姐姐那里来。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 一是我在慰问团面前说出了曾经被打晕的事，叫军代表很没面子；二是争风吃醋，所以他一直修理我。\n", "--------------------------------------------------\n", "english: Firstly, I told the relief delegation that I had been beaten unconscious, which made the military deputy lose face; secondly, he and I fought over a woman, which was why he was always trying to screw me.\n", "--------------------------------------------------\n", "gpt-4o/shots-00: One is that I mentioned in front of the慰问团 that I was once knocked unconscious, which embarrassed the military representative; the second is jealousy, so he has been fixing me all along.\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 不知到了何处。”\n", "--------------------------------------------------\n", "english: I don't know where he can have gone.'\n", "--------------------------------------------------\n", "gpt-4o/shots-00: 不知到了何处。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 海老公道：“只有个老娘。\n", "--------------------------------------------------\n", "english: 'Only a mother,' said the old eunuch.\n", "--------------------------------------------------\n", "gpt-4o/shots-00: 海老公道：“只有个老娘。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 海老公道：“不过怎么？”\n", "--------------------------------------------------\n", "english: 'You what?' snapped the eunuch.\n", "--------------------------------------------------\n", "gpt-4o/shots-00: 海老公道：“不过怎么？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 海老公道：“哼，掀住肩头有什么用？\n", "--------------------------------------------------\n", "english: 'That's no good!\n", "--------------------------------------------------\n", "gpt-4o/shots-00: 海老公道：“哼，掀住肩头有什么用？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-00: 1\n", "--------------------------------------------------\n", "chinese: “有…… 没有…… 有…… 没有……\n", "--------------------------------------------------\n", "english: 'Yes . . . no . . . yes . . . no . . .\n", "--------------------------------------------------\n", "gpt-4o/shots-00: “有…… 没有…… 有…… 没有……”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 勒都！\n", "--------------------------------------------------\n", "english: Le Du!\n", "--------------------------------------------------\n", "gpt-4o/shots-00: 勒都！\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 奶奶心中的祷语把她的芳唇冲动。\n", "--------------------------------------------------\n", "english: Her silent prayer made her delicate lips tremble.\n", "--------------------------------------------------\n", "gpt-4o/shots-00: 奶奶心中的祷语把她的芳唇冲动。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 周瑞家的道：“我的娘!\n", "--------------------------------------------------\n", "english: 'My dear good woman,' said the latter when they were out of earshot, 'whatever came over you?\n", "--------------------------------------------------\n", "gpt-4o/shots-00: 周瑞家的道：“我的娘!\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 大节下，老太太刚喜欢了一日。\n", "--------------------------------------------------\n", "english: This is the New Year holiday and Her Old Ladyship has been enjoying herself all day.\n", "--------------------------------------------------\n", "gpt-4o/shots-00: 大节下，老太太刚喜欢了一日。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 王文义忍着咳嗽说，“嗓子眼儿发痒……”\n", "--------------------------------------------------\n", "english: Wang Wenyi stifled a cough. 'My throat itches. . . .'\n", "--------------------------------------------------\n", "gpt-4o/shots-00: Wang Wenyì忍着咳嗽说，“嗓子眼儿发痒……”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n", "--------------------------------------------------\n", "english: short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n", "--------------------------------------------------\n", "gpt-4o/shots-00: 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", "count_chinese_characters-gpt-4o/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 待雄飞高举，明冬再晤，岂非大快之事！”\n", "--------------------------------------------------\n", "english: How delightful it will be to meet again next winter when you have distinguished yourself by soaring to the top over all the other candidates!'\n", "--------------------------------------------------\n", "gpt-4o/shots-00: 待雄飞高举，明冬再晤，岂非大快之事！”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 不过…… 不过……”\n", "--------------------------------------------------\n", "english: 'But. . . but—'\n", "--------------------------------------------------\n", "gpt-4o/shots-00: 不过…… 不过……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 因问周瑞家的道：“这老老不知用了早饭没有呢？”\n", "--------------------------------------------------\n", "english: She turned to Zhou Rui's wife. 'I wonder if Grannie has eaten yet today?'\n", "--------------------------------------------------\n", "gpt-4o/shots-00: 因问周瑞家的道：“这老老不知用了早饭没有呢？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 舍我罢！”\n", "--------------------------------------------------\n", "english: Give her to me!'\n", "--------------------------------------------------\n", "gpt-4o/shots-00: 舍我罢！”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 莺儿便说：“明明是个么！”\n", "--------------------------------------------------\n", "english: 'It was an ace,' said Oriole, 'as plain as anything!'\n", "--------------------------------------------------\n", "gpt-4o/shots-00: 莺儿便说：“明明是个么！”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 大史说：“震荡炸弹是我们警方用的玩意儿，确实可以一下子把建筑物里的人震昏，但目前好像只对一两个房间有用。\n", "--------------------------------------------------\n", "english: Da Shi said, 'I use concussion bombs in police work, but they're toys. They're indeed capable of stunning people inside a building into unconsciousness, but they're only good for a room or two.\n", "--------------------------------------------------\n", "gpt-4o/shots-00: Da Shi said: \"The震荡炸弹 is a gadget used by our police, and it can indeed stun people inside a building in an instant, but it seems to only be effective in one or two rooms at the moment.\"\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 鸡巴！\n", "--------------------------------------------------\n", "english: You pricks!\n", "--------------------------------------------------\n", "gpt-4o/shots-00: 鸡巴！\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 我师意为如何？”\n", "--------------------------------------------------\n", "english: What does your reverence say to that?'\n", "--------------------------------------------------\n", "gpt-4o/shots-00: 我师意为如何？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 蕊初低声道：“我…… 我……”\n", "--------------------------------------------------\n", "english: 'I. . . I. . .' Blossom began.\n", "--------------------------------------------------\n", "gpt-4o/shots-00: 蕊初低声道：“我…… 我……”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 余司令又叫：“豆官。”\n", "--------------------------------------------------\n", "english: Commander Yu turned to Father. 'Douguan,' he barked.\n", "--------------------------------------------------\n", "gpt-4o/shots-00: 余司令又叫：“豆官。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 平安里的夜晚其实也是有许多想头的，只不过没有王琦瑶窗帘上的大花朵，映显不出来罢了。 许多想头都是沉在心底，沉渣一般。 全是叫生计熬炼的，挤干汁，沥干水，凝结成块，怎么样的激荡也泛不起来。\n", "--------------------------------------------------\n", "english: There was a great deal of thinking going on around Peace Lane, but much of it, like sediment, had sunk to the bottom of people's hearts, all the juice squeezed out of them, so that they had solidified and could no longer be stirred up.\n", "--------------------------------------------------\n", "gpt-4o/shots-00: The night in Ping'an Li actually has many thoughts, but they cannot be reflected without the large flowers on Wang Qiyao's curtains. Many thoughts are沉在心底, like沉渣. They are all refined by the grind of life, squeezed dry, drained of water, and condensed into blocks, no matter how much turbulence there is, they cannot rise up.\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-00: 1\n", "--------------------------------------------------\n", "chinese: 海老公道：“偷什么书？”\n", "--------------------------------------------------\n", "english: 'Which book?'\n", "--------------------------------------------------\n", "gpt-4o/shots-00: 海老公道：“偷什么书？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-00: 1\n", "### Analyzing: gpt-4o/shots-01\n", "*** Found 0 rows with total_repetitions > 50 for gpt-4o/shots-01\n", "\n", "*** Found 0 rows with output_tokens >= 300 for gpt-4o/shots-01\n", "\n", "*** Found 44 rows with incomplete translations for gpt-4o/shots-01\n", "--------------------------------------------------\n", "chinese: 一是我在慰问团面前说出了曾经被打晕的事，叫军代表很没面子；二是争风吃醋，所以他一直修理我。\n", "--------------------------------------------------\n", "english: Firstly, I told the relief delegation that I had been beaten unconscious, which made the military deputy lose face; secondly, he and I fought over a woman, which was why he was always trying to screw me.\n", "--------------------------------------------------\n", "gpt-4o/shots-01: One is that I mentioned in front of the慰问团 that I was once knocked out, which embarrassed the military representative; the second is jealousy, so he has been fixing me up all along.\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 不知到了何处。”\n", "--------------------------------------------------\n", "english: I don't know where he can have gone.'\n", "--------------------------------------------------\n", "gpt-4o/shots-01: 不知到了何处。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 还有那一次谋杀……\n", "--------------------------------------------------\n", "english: And those murders ...\n", "--------------------------------------------------\n", "gpt-4o/shots-01: 还有那一次谋杀……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 要好的只好等袭人来。”\n", "--------------------------------------------------\n", "english: If nothing but the best will do, you'd better wait for Aroma to come.'\n", "--------------------------------------------------\n", "gpt-4o/shots-01: 要好的只好等袭人来。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 在山上敦伟大友谊时，嘴里喷出白气。\n", "--------------------------------------------------\n", "english: While we were strengthening our great friendship on the mountain, white breath puffed from our mouths.\n", "--------------------------------------------------\n", "gpt-4o/shots-01: 在山上敦伟大友谊时，嘴里喷出白气。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 海老公道：“只有个老娘。\n", "--------------------------------------------------\n", "english: 'Only a mother,' said the old eunuch.\n", "--------------------------------------------------\n", "gpt-4o/shots-01: 海老公道：“只有个老娘。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 鸡巴，感觉非常之好的啦！\n", "--------------------------------------------------\n", "english: Fuck, I felt terrific.\n", "--------------------------------------------------\n", "gpt-4o/shots-01: 鸡巴，感觉非常之好的啦！\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 回来赶围棋儿，又该你闹‘么爱三’了。”\n", "--------------------------------------------------\n", "english: Presently, when you're playing Racing Go, you'll be all 'thicktheth' and 'theventh' !'\n", "--------------------------------------------------\n", "gpt-4o/shots-01: 回来赶围棋儿，又该你闹‘么爱三’了。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-01: 1\n", "--------------------------------------------------\n", "chinese: “有…… 没有…… 有…… 没有……\n", "--------------------------------------------------\n", "english: 'Yes . . . no . . . yes . . . no . . .\n", "--------------------------------------------------\n", "gpt-4o/shots-01: “有…… 没有…… 有…… 没有……”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 勒都！\n", "--------------------------------------------------\n", "english: Le Du!\n", "--------------------------------------------------\n", "gpt-4o/shots-01: 勒都！\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 等我来再走。”\n", "--------------------------------------------------\n", "english: You can go when I come for you.'\n", "--------------------------------------------------\n", "gpt-4o/shots-01: 等我来再走。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 茅大哥不知能不能逃出皇宫去？\n", "--------------------------------------------------\n", "english: 'I wonder if Whiskers got out safe?\n", "--------------------------------------------------\n", "gpt-4o/shots-01: 茅大哥不知能不能逃出皇宫去？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 你…… 你可摔痛了没有？”\n", "--------------------------------------------------\n", "english: Did you hurt yourself?'\n", "--------------------------------------------------\n", "gpt-4o/shots-01: 你…… 你可摔痛了没有？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 奶奶心中的祷语把她的芳唇冲动。\n", "--------------------------------------------------\n", "english: Her silent prayer made her delicate lips tremble.\n", "--------------------------------------------------\n", "gpt-4o/shots-01: 奶奶心中的祷语把她的芳唇冲动。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 周瑞家的道：“我的娘!\n", "--------------------------------------------------\n", "english: 'My dear good woman,' said the latter when they were out of earshot, 'whatever came over you?\n", "--------------------------------------------------\n", "gpt-4o/shots-01: 周瑞家的道：“我的娘!\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 我可那里敢挑他呢？”\n", "--------------------------------------------------\n", "english: I should never dare to find fault with her.'\n", "--------------------------------------------------\n", "gpt-4o/shots-01: 我可那里敢挑他呢？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n", "--------------------------------------------------\n", "english: short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n", "--------------------------------------------------\n", "gpt-4o/shots-01: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 只是许多时不走动，知道他如今是怎样?\n", "--------------------------------------------------\n", "english: 'But it's a long time since you had anything to do with him and hard to say how he may prove after all these years.\n", "--------------------------------------------------\n", "gpt-4o/shots-01: 只是许多时不走动，知道他如今是怎样?\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 自己要睡，天气尚早。\n", "--------------------------------------------------\n", "english: He thought of going to bed himself, but it was still too early.\n", "--------------------------------------------------\n", "gpt-4o/shots-01: 自己要睡，天气尚早。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 不过…… 不过……”\n", "--------------------------------------------------\n", "english: 'But. . . but—'\n", "--------------------------------------------------\n", "gpt-4o/shots-01: 不过…… 不过……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 等着奶奶下来，我细细儿的回明了，想来奶奶也不至嗔着我莽撞的。”\n", "--------------------------------------------------\n", "english: I thought I would wait for the young mistress to come back and explain it all to her. I hope she won't be angry with me for pushing myself forward.'\n", "--------------------------------------------------\n", "gpt-4o/shots-01: 等着奶奶下来，我细细儿的回明了，想来奶奶也不至嗔着我莽撞的。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 蕊初道：“花园里有大海龟吗？\n", "--------------------------------------------------\n", "english: 'I didn't know there were any in the Palace,' said Blossom.\n", "--------------------------------------------------\n", "gpt-4o/shots-01: 蕊初道：“花园里有大海龟吗？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝毛骨悚然，道：“我…… 我以为你不爱喝汤。\n", "--------------------------------------------------\n", "english: Trinket could feel his skin crawling. 'But. . . but... I thought you didn't like soup,' he said.\n", "--------------------------------------------------\n", "gpt-4o/shots-01: 韦小宝毛骨悚然，道：“我…… 我以为你不爱喝汤。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 你那里肯往我这里来？”\n", "--------------------------------------------------\n", "english: 'What would you want to come here for?'\n", "--------------------------------------------------\n", "gpt-4o/shots-01: 你那里肯往我这里来？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 老子就吃过。”\n", "--------------------------------------------------\n", "english: Do try some, it's delicious!'\n", "--------------------------------------------------\n", "gpt-4o/shots-01: 老子就吃过。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 舍我罢！”\n", "--------------------------------------------------\n", "english: Give her to me!'\n", "--------------------------------------------------\n", "gpt-4o/shots-01: 舍我罢！”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 她要走了……\n", "--------------------------------------------------\n", "english: If she leaves . . .\n", "--------------------------------------------------\n", "gpt-4o/shots-01: 她要走了……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 我逃跑是晚上的事。\n", "--------------------------------------------------\n", "english: In the evening I made my escape.\n", "--------------------------------------------------\n", "gpt-4o/shots-01: 我逃跑是晚上的事。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 鸡巴！\n", "--------------------------------------------------\n", "english: You pricks!\n", "--------------------------------------------------\n", "gpt-4o/shots-01: 鸡巴！\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 不看僧面看佛面，不看鱼面看水面，不看我的面子也要看豆官的面子上，留下吧，你要我…… 我也给你…… 你就像我的爹一样……”\n", "--------------------------------------------------\n", "english: 'If not for the sake of the monk, stay for the Buddha. If not for the sake of the fish, stay for the water. If not for my sake, stay for little Douguan. You can have me, if you want. . . . You're like my own father. . . .'\n", "--------------------------------------------------\n", "gpt-4o/shots-01: 不看僧面看佛面，不看鱼面看水面，不看我的面子也要看豆官的面子上，留下吧，你要我…… 我也给你…… 你就像我的爹一样……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 我师意为如何？”\n", "--------------------------------------------------\n", "english: What does your reverence say to that?'\n", "--------------------------------------------------\n", "gpt-4o/shots-01: 我师意为如何？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-01: 1\n", "--------------------------------------------------\n", "chinese: “运河有多宽？\n", "--------------------------------------------------\n", "english: 'How wide is the canal?\n", "--------------------------------------------------\n", "gpt-4o/shots-01: “运河有多宽？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 吕留良道：“他…… 他却没有来。\n", "--------------------------------------------------\n", "english: 'No, ' said Lü, 'no, he's not here.\n", "--------------------------------------------------\n", "gpt-4o/shots-01: 吕留良道：“他…… 他却没有来。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 蕊初低声道：“我…… 我……”\n", "--------------------------------------------------\n", "english: 'I. . . I. . .' Blossom began.\n", "--------------------------------------------------\n", "gpt-4o/shots-01: 蕊初低声道：“我…… 我……”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 见到他们尸首的时候……\n", "--------------------------------------------------\n", "english: When I saw their bodies ...\n", "--------------------------------------------------\n", "gpt-4o/shots-01: 见到他们尸首的时候……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 那男孩略一迟疑，道：“我叫…… 叫小玄子。\n", "--------------------------------------------------\n", "english: After a moment's hesitation the boy replied: 'Mine's . . . People call me Misty.\n", "--------------------------------------------------\n", "gpt-4o/shots-01: 那男孩略一迟疑，道：“我叫…… 叫小玄子。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 凤姐道：“正是呢。\n", "--------------------------------------------------\n", "english: 'Yes, indeed!' said Xi-feng.\n", "--------------------------------------------------\n", "gpt-4o/shots-01: 凤姐道：“正是呢。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 补我一枪吧……”\n", "--------------------------------------------------\n", "english: Shoot me, please. . . .'\n", "--------------------------------------------------\n", "gpt-4o/shots-01: 补我一枪吧……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 不带我去，立刻便扠死你。”\n", "--------------------------------------------------\n", "english: Take me to her, or I'll strangle you this minute.'\n", "--------------------------------------------------\n", "gpt-4o/shots-01: 不带我去，立刻便扠死你。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 我倒再照照正面是什么？”\n", "--------------------------------------------------\n", "english: But let me see what happens when I look into the other side!'\n", "--------------------------------------------------\n", "gpt-4o/shots-01: 我倒再照照正面是什么？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-01: 1\n", "--------------------------------------------------\n", "chinese: “不吱声？\n", "--------------------------------------------------\n", "english: 'No answer?\n", "--------------------------------------------------\n", "gpt-4o/shots-01: “不吱声？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 找了半天，都是秃的，因说道：“前儿一枝新笔放在那里了? 怎么想不起来？”\n", "--------------------------------------------------\n", "english: After rummaging for several minutes she had only succeeded in finding a few worn-out ones, too moulted for use. 'Funny!' she said. 'I could have sworn I put a new one in there the other day ...'\n", "--------------------------------------------------\n", "gpt-4o/shots-01: 找了半天，都是秃的，因说道：“前儿一枝新笔放在那里了? 怎么想不起来？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 其盘费余事，弟自代为处置，亦不枉兄之谬识矣。”\n", "--------------------------------------------------\n", "english: I shall take care of all your expenses. It is the least return I can make for your friendship.'\n", "--------------------------------------------------\n", "gpt-4o/shots-01: 其盘费余事，弟自代为处置，亦不枉兄之谬识矣。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-01: 1\n", "--------------------------------------------------\n", "chinese: 自己又不尊重，要往下流里走，安着坏心，还只怨人家偏心呢。\n", "--------------------------------------------------\n", "english: You've no self-respect, that's your trouble. Can't keep away from the gutter. You insist on making yourself disagreeable and then you complain that people are prejudiced against you!\n", "--------------------------------------------------\n", "gpt-4o/shots-01: 自己又不尊重，要往下流里走，安着坏心，还只怨人家偏心呢。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-01: 1\n", "### Analyzing: gpt-4o/shots-03\n", "*** Found 0 rows with total_repetitions > 50 for gpt-4o/shots-03\n", "\n", "*** Found 0 rows with output_tokens >= 300 for gpt-4o/shots-03\n", "\n", "*** Found 64 rows with incomplete translations for gpt-4o/shots-03\n", "--------------------------------------------------\n", "chinese: 因问贾环：“你输了多少钱？”\n", "--------------------------------------------------\n", "english: How much did you lose?'\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 因问贾环：“你输了多少钱？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 任副官在他腚上打了一鞭子，他嘴咧开叫一声：孩子他娘！\n", "--------------------------------------------------\n", "english: Adjutant Ren smacked him across the backside with his whip, forcing a yelp from between his parted lips. Ouch, mother of my children!\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 任副官在他腚上打了一鞭子，他嘴咧开叫一声：孩子他娘！\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 一是我在慰问团面前说出了曾经被打晕的事，叫军代表很没面子；二是争风吃醋，所以他一直修理我。\n", "--------------------------------------------------\n", "english: Firstly, I told the relief delegation that I had been beaten unconscious, which made the military deputy lose face; secondly, he and I fought over a woman, which was why he was always trying to screw me.\n", "--------------------------------------------------\n", "gpt-4o/shots-03: One is that I mentioned in front of the慰问团 that I had been knocked unconscious before, which embarrassed the military representative; the second is jealousy, so he has been fixing me all along.\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 不知到了何处。”\n", "--------------------------------------------------\n", "english: I don't know where he can have gone.'\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 不知到了何处。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 还有那一次谋杀……\n", "--------------------------------------------------\n", "english: And those murders ...\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 还有那一次谋杀……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 这一条，你能办到么？”\n", "--------------------------------------------------\n", "english: Do you think you are capable of keeping that rule?'\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 这一条，你能办到么？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 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", "english: 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", "gpt-4o/shots-03: 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", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 要好的只好等袭人来。”\n", "--------------------------------------------------\n", "english: If nothing but the best will do, you'd better wait for Aroma to come.'\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 要好的只好等袭人来。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 在山上敦伟大友谊时，嘴里喷出白气。\n", "--------------------------------------------------\n", "english: While we were strengthening our great friendship on the mountain, white breath puffed from our mouths.\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 在山上敦伟大友谊时，嘴里喷出白气。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 海老公道：“只有个老娘。\n", "--------------------------------------------------\n", "english: 'Only a mother,' said the old eunuch.\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 海老公道：“只有个老娘。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 鸡巴，感觉非常之好的啦！\n", "--------------------------------------------------\n", "english: Fuck, I felt terrific.\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 鸡巴，感觉非常之好的啦！\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 回来赶围棋儿，又该你闹‘么爱三’了。”\n", "--------------------------------------------------\n", "english: Presently, when you're playing Racing Go, you'll be all 'thicktheth' and 'theventh' !'\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 回来赶围棋儿，又该你闹‘么爱三’了。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: “有…… 没有…… 有…… 没有……\n", "--------------------------------------------------\n", "english: 'Yes . . . no . . . yes . . . no . . .\n", "--------------------------------------------------\n", "gpt-4o/shots-03: “有…… 没有…… 有…… 没有……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 勒都！\n", "--------------------------------------------------\n", "english: Le Du!\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 勒都！\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 等我来再走。”\n", "--------------------------------------------------\n", "english: You can go when I come for you.'\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 等我来再走。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 唉，也不知我茅十八这一生一世，有没福份见他老人家一面。”\n", "--------------------------------------------------\n", "english: He sighed wistfully. 'I wonder if it will be my luck to see him before I die.'\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 唉，也不知我茅十八这一生一世，有没福份见他老人家一面。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 小兄弟，他教你的武功，你演给我瞧瞧。”\n", "--------------------------------------------------\n", "english: He turned to Trinket. 'Show me a few of the things he taught you, little brother,' he said.\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 小兄弟，他教你的武功，你演给我瞧瞧。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 你愿不愿意入我天地会做兄弟？”\n", "--------------------------------------------------\n", "english: Would you like to join the Triad Society and become a Brother?'\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 你愿不愿意入我天地会做兄弟？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 奶奶心中的祷语把她的芳唇冲动。\n", "--------------------------------------------------\n", "english: Her silent prayer made her delicate lips tremble.\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 奶奶心中的祷语把她的芳唇冲动。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 周瑞家的道：“我的娘!\n", "--------------------------------------------------\n", "english: 'My dear good woman,' said the latter when they were out of earshot, 'whatever came over you?\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 周瑞家的道：“我的娘!\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 大节下，老太太刚喜欢了一日。\n", "--------------------------------------------------\n", "english: This is the New Year holiday and Her Old Ladyship has been enjoying herself all day.\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 大节下，老太太刚喜欢了一日。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 豆官，你的枪呢？”\n", "--------------------------------------------------\n", "english: Douguan, where's your gun?'\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 豆官，你的枪呢？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 她丝毫也不怕成为破鞋，这比被人叫做破鞋而不是破鞋好得多。\n", "--------------------------------------------------\n", "english: She was not the least bit worried about becoming actual damaged goods, which she much preferred to being damaged goods in name only.\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 她丝毫也不怕成为破鞋，这比被人叫做破鞋而不是破鞋好得多。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 我可那里敢挑他呢？”\n", "--------------------------------------------------\n", "english: I should never dare to find fault with her.'\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 我可那里敢挑他呢？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 烦那位太爷替我请他出来。”\n", "--------------------------------------------------\n", "english: Could I trouble one of you gentlemen to fetch him out for me?'\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 烦那位太爷替我请他出来。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n", "--------------------------------------------------\n", "english: short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 待雄飞高举，明冬再晤，岂非大快之事！”\n", "--------------------------------------------------\n", "english: How delightful it will be to meet again next winter when you have distinguished yourself by soaring to the top over all the other candidates!'\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 待雄飞高举，明冬再晤，岂非大快之事！”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 只是许多时不走动，知道他如今是怎样?\n", "--------------------------------------------------\n", "english: 'But it's a long time since you had anything to do with him and hard to say how he may prove after all these years.\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 只是许多时不走动，知道他如今是怎样?\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 不是吗？ 太空电梯其实就是一条运河，像巴拿马运河连接了两个大洋一样，太空电梯将地球和太空连接起来……”\n", "--------------------------------------------------\n", "english: Indeed, the space elevator is a canal. Just as the Panama Canal connected two oceans, the space elevator will connect space with the Earth.'\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 不是吗？ 太空电梯其实就是一条运河，像巴拿马运河连接了两个大洋一样，太空电梯将地球和太空连接起来……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 不过…… 不过……”\n", "--------------------------------------------------\n", "english: 'But. . . but—'\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 不过…… 不过……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 等着奶奶下来，我细细儿的回明了，想来奶奶也不至嗔着我莽撞的。”\n", "--------------------------------------------------\n", "english: I thought I would wait for the young mistress to come back and explain it all to her. I hope she won't be angry with me for pushing myself forward.'\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 等着奶奶下来，我细细儿的回明了，想来奶奶也不至嗔着我莽撞的。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 蕊初道：“花园里有大海龟吗？\n", "--------------------------------------------------\n", "english: 'I didn't know there were any in the Palace,' said Blossom.\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 蕊初道：“花园里有大海龟吗？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 能不能十个打他们一个？”\n", "--------------------------------------------------\n", "english: Enough to fight them ten to one?'\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 能不能十个打他们一个？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 你那里肯往我这里来？”\n", "--------------------------------------------------\n", "english: 'What would you want to come here for?'\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 你那里肯往我这里来？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 我们还聊了几句，我说她的乳房不但圆，而且长的很端正，脐窝不但圆，而且很浅。\n", "--------------------------------------------------\n", "english: We chatted for a while. I told her that her breasts were not just full, but also shapely; her navel not only round, but shallow too.\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 我们还聊了几句，我说她的乳房不但圆，而且长的很端正，脐窝不但圆，而且很浅。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 青天哟——蓝天哟——花花绿绿的天哟——棒槌哟亲哥哟你死了——可就塌了妹妹的天哟——\n", "--------------------------------------------------\n", "english: A blue sky yo – a sapphire sky yo – a painted sky yo – a mighty cudgel yo – dear elder brother yo – death has claimed you – you have brought down little sister's sky yo –.\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 青天哟——蓝天哟——花花绿绿的天哟——棒槌哟亲哥哟你死了——可就塌了妹妹的天哟——\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 因问周瑞家的道：“这老老不知用了早饭没有呢？”\n", "--------------------------------------------------\n", "english: She turned to Zhou Rui's wife. 'I wonder if Grannie has eaten yet today?'\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 因问周瑞家的道：“这老老不知用了早饭没有呢？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 可是你使一招，我学一招，最多给你多摔几交，你的法子我总能学了来。”\n", "--------------------------------------------------\n", "english: All I have to do is watch his moves and copy them. He can throw me a few times— I'll soon get the hang of it.'\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 可是你使一招，我学一招，最多给你多摔几交，你的法子我总能学了来。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 乱秧秧的，人家忘了把发的结婚证要回去。 结果陈清扬留了一张。\n", "--------------------------------------------------\n", "english: In the confusion they forgot to take our marriage certificate back, and so Chen Qingyang kept one for herself.\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 乱秧秧的，人家忘了把发的结婚证要回去。 结果陈清扬留了一张。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 舍我罢！”\n", "--------------------------------------------------\n", "english: Give her to me!'\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 舍我罢！”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 莺儿便说：“明明是个么！”\n", "--------------------------------------------------\n", "english: 'It was an ace,' said Oriole, 'as plain as anything!'\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 莺儿便说：“明明是个么！”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 她第一次要我证明她清白无辜时，我翻了一串白眼，然后开始胡说八道。 第二次她要我证明我们俩无辜，我又一本正经地向她建议举行一次性交。\n", "--------------------------------------------------\n", "english: The first time she wanted me to prove her innocence, I looked up at the ceiling and began to talk nonsense; the next time she wanted me to prove our innocence, I earnestly suggested having intercourse with her.\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 她第一次要我证明她清白无辜时，我翻了一串白眼，然后开始胡说八道。 第二次她要我证明我们俩无辜，我又一本正经地向她建议举行一次性交。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 鸡巴！\n", "--------------------------------------------------\n", "english: You pricks!\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 鸡巴！\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 死活凭我去罢了!\n", "--------------------------------------------------\n", "english: Why can't you just leave me here to die in peace?\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 死活凭我去罢了!\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 不看僧面看佛面，不看鱼面看水面，不看我的面子也要看豆官的面子上，留下吧，你要我…… 我也给你…… 你就像我的爹一样……”\n", "--------------------------------------------------\n", "english: 'If not for the sake of the monk, stay for the Buddha. If not for the sake of the fish, stay for the water. If not for my sake, stay for little Douguan. You can have me, if you want. . . . You're like my own father. . . .'\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 不看僧面看佛面，不看鱼面看水面，不看我的面子也要看豆官的面子上，留下吧，你要我…… 我也给你…… 你就像我的爹一样……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 我师意为如何？”\n", "--------------------------------------------------\n", "english: What does your reverence say to that?'\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 我师意为如何？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 晚村兄何不便题诗一首，将二瞻先生之意，表而出之？”\n", "--------------------------------------------------\n", "english: Why don't you do an inscription, Liuliang — a poem that will give voice to what Erzhan had in mind to say?'\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 晚村兄何不便题诗一首，将二瞻先生之意，表而出之？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 二十年前，他们看承你们还好，如今是你们拉硬屎，不肯去就和他，才疏远起来。\n", "--------------------------------------------------\n", "english: Twenty years ago the Nanking Wangs used to be very good to you folk. It's only because of late years you have been too stiff-necked to approach them that they have become more distant with you.\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 二十年前，他们看承你们还好，如今是你们拉硬屎，不肯去就和他，才疏远起来。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 吕留良道：“他…… 他却没有来。\n", "--------------------------------------------------\n", "english: 'No, ' said Lü, 'no, he's not here.\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 吕留良道：“他…… 他却没有来。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 蕊初低声道：“我…… 我……”\n", "--------------------------------------------------\n", "english: 'I. . . I. . .' Blossom began.\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 蕊初低声道：“我…… 我……”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 总舵主，你如许我入会，我可快活死啦。”\n", "--------------------------------------------------\n", "english: If you'll let me join, Helmsman, I'll be the happiest boy in the world.'\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 总舵主，你如许我入会，我可快活死啦。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 见到他们尸首的时候……\n", "--------------------------------------------------\n", "english: When I saw their bodies ...\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 见到他们尸首的时候……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 补我一枪吧……”\n", "--------------------------------------------------\n", "english: Shoot me, please. . . .'\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 补我一枪吧……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 他想着：“兄弟们一并都有父母教训，何必我多事，反生疏了。 况且我是正出，他是庶出，饶这样看待，还有人背后谈论，还禁得辖治了他？”\n", "--------------------------------------------------\n", "english: 'We are both equally subject to our parents' control,' he would say of himself and Jia Huan. 'Why should I create a greater distance between us by trying to control him myself – especially when I am the wife's son and he is the concubine's? People already talk behind our backs, even when I do nothing. It would be ten times worse if I were to start bossing him about.'\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 他想着：“兄弟们一并都有父母教训，何必我多事，反生疏了。 况且我是正出，他是庶出，饶这样看待，还有人背后谈论，还禁得辖治了他？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 不带我去，立刻便扠死你。”\n", "--------------------------------------------------\n", "english: Take me to her, or I'll strangle you this minute.'\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 不带我去，立刻便扠死你。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 我倒再照照正面是什么？”\n", "--------------------------------------------------\n", "english: But let me see what happens when I look into the other side!'\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 我倒再照照正面是什么？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 我倒听见说你辛苦了好几天。”\n", "--------------------------------------------------\n", "english: I hear you've been very busy these last few days.'\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 我倒听见说你辛苦了好几天。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: “不吱声？\n", "--------------------------------------------------\n", "english: 'No answer?\n", "--------------------------------------------------\n", "gpt-4o/shots-03: “不吱声？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 找了半天，都是秃的，因说道：“前儿一枝新笔放在那里了? 怎么想不起来？”\n", "--------------------------------------------------\n", "english: After rummaging for several minutes she had only succeeded in finding a few worn-out ones, too moulted for use. 'Funny!' she said. 'I could have sworn I put a new one in there the other day ...'\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 找了半天，都是秃的，因说道：“前儿一枝新笔放在那里了? 怎么想不起来？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 怎么敦？ 正着敦反着敦？\n", "--------------------------------------------------\n", "english: How do you want to strengthen it, from the front or from the back?\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 怎么敦？ 正着敦反着敦？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 后来我活过来了，说道：换换，你看我的，我就翻到上面去。\n", "--------------------------------------------------\n", "english: After a while I came back to life and said: Let's switch. Here we go. So I rolled over onto her body.\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 后来我活过来了，说道：换换，你看我的，我就翻到上面去。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 那小孩点头道：“我明白了。\n", "--------------------------------------------------\n", "english: 'I know,' said the boy.\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 那小孩点头道：“我明白了。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 其盘费余事，弟自代为处置，亦不枉兄之谬识矣。”\n", "--------------------------------------------------\n", "english: I shall take care of all your expenses. It is the least return I can make for your friendship.'\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 其盘费余事，弟自代为处置，亦不枉兄之谬识矣。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "--------------------------------------------------\n", "chinese: 自己又不尊重，要往下流里走，安着坏心，还只怨人家偏心呢。\n", "--------------------------------------------------\n", "english: You've no self-respect, that's your trouble. Can't keep away from the gutter. You insist on making yourself disagreeable and then you complain that people are prejudiced against you!\n", "--------------------------------------------------\n", "gpt-4o/shots-03: 自己又不尊重，要往下流里走，安着坏心，还只怨人家偏心呢。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-03: 1\n", "### Analyzing: gpt-4o/shots-05\n", "*** Found 0 rows with total_repetitions > 50 for gpt-4o/shots-05\n", "\n", "*** Found 0 rows with output_tokens >= 300 for gpt-4o/shots-05\n", "\n", "*** Found 137 rows with incomplete translations for gpt-4o/shots-05\n", "--------------------------------------------------\n", "chinese: 因问贾环：“你输了多少钱？”\n", "--------------------------------------------------\n", "english: How much did you lose?'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 因问贾环：“你输了多少钱？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 他怎么又跑出这么个侄儿来了呢！”\n", "--------------------------------------------------\n", "english: Where she would come by a nephew like this one, I just do not know!'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 他怎么又跑出这么个侄儿来了呢！”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 她要讨论的事是这祥的：虽然所有的人都说她是一个破鞋，但她以为自己不是的。\n", "--------------------------------------------------\n", "english: The issue she wanted to discuss was this: Despite the fact that everyone believed she was damaged goods, she didn't think she was.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 她要讨论的事是这祥的：虽然所有的人都说她是一个破鞋，但她以为自己不是的。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 任副官在他腚上打了一鞭子，他嘴咧开叫一声：孩子他娘！\n", "--------------------------------------------------\n", "english: Adjutant Ren smacked him across the backside with his whip, forcing a yelp from between his parted lips. Ouch, mother of my children!\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 任副官在他腚上打了一鞭子，他嘴咧开叫一声：孩子他娘！\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 这种时候我心里很乱。\n", "--------------------------------------------------\n", "english: Then I would feel confused.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 这种时候我心里很乱。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 一是我在慰问团面前说出了曾经被打晕的事，叫军代表很没面子；二是争风吃醋，所以他一直修理我。\n", "--------------------------------------------------\n", "english: Firstly, I told the relief delegation that I had been beaten unconscious, which made the military deputy lose face; secondly, he and I fought over a woman, which was why he was always trying to screw me.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: One is that I mentioned in front of the慰问团 that I had once been knocked unconscious, which embarrassed the military representative; the second is that there was jealousy, so he has been fixing me all along.\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 他说我以前的说话中有扬州腔调，恐怕…… 恐怕…… 那么他眼睛给我弄瞎这回事，他知不知道？”\n", "--------------------------------------------------\n", "english: 'I thought he said just now that I used to have a Yangzhou accent. Perhaps . . . perhaps he does know that I blinded him.'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 他说我以前的说话中有扬州腔调，恐怕…… 恐怕…… 那么他眼睛给我弄瞎这回事，他知不知道？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 不知到了何处。”\n", "--------------------------------------------------\n", "english: I don't know where he can have gone.'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 不知到了何处。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 他问：什么事啊？\n", "--------------------------------------------------\n", "english: 'What is it?'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 他问：什么事啊？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 还有那一次谋杀……\n", "--------------------------------------------------\n", "english: And those murders ...\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 还有那一次谋杀……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 罗小四等人回到队里，发现我的东西都不见了，就去问队长可见过王二。\n", "--------------------------------------------------\n", "english: Luo Xiaosi came back to the fourteenth team and found my stuff gone, so he went to ask the team leader whether he had seen me.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 罗小四等人回到队里，发现我的东西都不见了，就去问队长可见过王二。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 左手在桌上轻轻一拍，道：“定当如此！\n", "--------------------------------------------------\n", "english: He tapped the table lightly with his left hand and continued speaking, apparently to himself. 'Yes, of course. This is obviously the solution.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 左手在桌上轻轻一拍，道：“定当如此！\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 你难道就知道你的心，不知道我的心不成？”\n", "--------------------------------------------------\n", "english: Do you mean to tell me that you know your own feelings about me but still don't know what my feelings are about you?'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 你难道就知道你的心，不知道我的心不成？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 这一条，你能办到么？”\n", "--------------------------------------------------\n", "english: Do you think you are capable of keeping that rule?'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 这一条，你能办到么？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 要好的只好等袭人来。”\n", "--------------------------------------------------\n", "english: If nothing but the best will do, you'd better wait for Aroma to come.'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 要好的只好等袭人来。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 在山上敦伟大友谊时，嘴里喷出白气。\n", "--------------------------------------------------\n", "english: While we were strengthening our great friendship on the mountain, white breath puffed from our mouths.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 在山上敦伟大友谊时，嘴里喷出白气。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 海老公道：“不过怎么？”\n", "--------------------------------------------------\n", "english: 'You what?' snapped the eunuch.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 海老公道：“不过怎么？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝伸出了舌头，半天缩不进去，随即喜欢得心痒难搔，笑道：“我一定不做坏事。\n", "--------------------------------------------------\n", "english: Trinket stuck his tongue out in amazement and it was some time before he could put it back in again. Yet his overriding feeling was not of amazement but of happiness that he had got this heroic strong man for his teacher. 'I promise you I won't ever do anything bad,' he said.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 韦小宝伸出了舌头，半天缩不进去，随即喜欢得心痒难搔，笑道：“我一定不做坏事。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 鸡巴，感觉非常之好的啦！\n", "--------------------------------------------------\n", "english: Fuck, I felt terrific.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 鸡巴，感觉非常之好的啦！\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 咱们两个说话儿不好？”\n", "--------------------------------------------------\n", "english: 'Why can't we both sit here and talk?'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 咱们两个说话儿不好？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 我就静静的躺一躺也好啊。”\n", "--------------------------------------------------\n", "english: I shall be all right if I lie here quietly on my own.'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 我就静静的躺一躺也好啊。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 回来赶围棋儿，又该你闹‘么爱三’了。”\n", "--------------------------------------------------\n", "english: Presently, when you're playing Racing Go, you'll be all 'thicktheth' and 'theventh' !'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 回来赶围棋儿，又该你闹‘么爱三’了。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 勒都！\n", "--------------------------------------------------\n", "english: Le Du!\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 勒都！\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 小舅子，谁开的枪？”\n", "--------------------------------------------------\n", "english: 'Who's the prick who did it?'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 小舅子，谁开的枪？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 等我来再走。”\n", "--------------------------------------------------\n", "english: You can go when I come for you.'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 等我来再走。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 我和陈清扬在饭店里敦伟大友谊，是娱乐性的。\n", "--------------------------------------------------\n", "english: The strengthening of our great friendship that Chen Qingyang and I did while in the hotel room was of the recreational sort.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 我和陈清扬在饭店里敦伟大友谊，是娱乐性的。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 唉，也不知我茅十八这一生一世，有没福份见他老人家一面。”\n", "--------------------------------------------------\n", "english: He sighed wistfully. 'I wonder if it will be my luck to see him before I die.'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 唉，也不知我茅十八这一生一世，有没福份见他老人家一面。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 茅大哥不知能不能逃出皇宫去？\n", "--------------------------------------------------\n", "english: 'I wonder if Whiskers got out safe?\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 茅大哥不知能不能逃出皇宫去？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 要的也不过分，不是地老天荒的一种，只是五十年的流萤。\n", "--------------------------------------------------\n", "english: That's not too much to ask, is it? He didn't ask for an eternity, only the last fifty years.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 要的也不过分，不是地老天荒的一种，只是五十年的流萤。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 我成了替爷们解闷儿的了。”\n", "--------------------------------------------------\n", "english: I am to become a source of entertainment for the menfolk now, it seems.'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 我成了替爷们解闷儿的了。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 因为这些事我无从想象，所以是我存在的证明。\n", "--------------------------------------------------\n", "english: Since I couldn't imagine these things, they must be evidence of my existence.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 因为这些事我无从想象，所以是我存在的证明。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 石头听了大喜，因问：“不知可镌何字?\n", "--------------------------------------------------\n", "english: The stone was delighted. 'What words will you cut?\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 石头听了大喜，因问：“不知可镌何字?\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 你…… 你可摔痛了没有？”\n", "--------------------------------------------------\n", "english: Did you hurt yourself?'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 你…… 你可摔痛了没有？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 小兄弟，他教你的武功，你演给我瞧瞧。”\n", "--------------------------------------------------\n", "english: He turned to Trinket. 'Show me a few of the things he taught you, little brother,' he said.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 小兄弟，他教你的武功，你演给我瞧瞧。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 你愿不愿意入我天地会做兄弟？”\n", "--------------------------------------------------\n", "english: Would you like to join the Triad Society and become a Brother?'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 你愿不愿意入我天地会做兄弟？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 奶奶心中的祷语把她的芳唇冲动。\n", "--------------------------------------------------\n", "english: Her silent prayer made her delicate lips tremble.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 奶奶心中的祷语把她的芳唇冲动。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 倒退到二十年前，想像我和陈清扬讨论破鞋问题时的情景。\n", "--------------------------------------------------\n", "english: Imagine the scene twenty years ago, when Chen Qingyang and I discussed the damaged goods issue.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 倒退到二十年前，想像我和陈清扬讨论破鞋问题时的情景。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 明日一早，兄弟全家便出去避一避。”\n", "--------------------------------------------------\n", "english: I'll leave with the family first thing tomorrow.'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 明日一早，兄弟全家便出去避一避。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 周瑞家的道：“我的娘!\n", "--------------------------------------------------\n", "english: 'My dear good woman,' said the latter when they were out of earshot, 'whatever came over you?\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 周瑞家的道：“我的娘!\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 大节下，老太太刚喜欢了一日。\n", "--------------------------------------------------\n", "english: This is the New Year holiday and Her Old Ladyship has been enjoying herself all day.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 大节下，老太太刚喜欢了一日。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 豆官，你的枪呢？”\n", "--------------------------------------------------\n", "english: Douguan, where's your gun?'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 豆官，你的枪呢？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 她丝毫也不怕成为破鞋，这比被人叫做破鞋而不是破鞋好得多。\n", "--------------------------------------------------\n", "english: She was not the least bit worried about becoming actual damaged goods, which she much preferred to being damaged goods in name only.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 她丝毫也不怕成为破鞋，这比被人叫做破鞋而不是破鞋好得多。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 我可那里敢挑他呢？”\n", "--------------------------------------------------\n", "english: I should never dare to find fault with her.'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 我可那里敢挑他呢？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 叔叔大安了，也是我们一家子的造化。”\n", "--------------------------------------------------\n", "english: 'But I'm glad you are better, Uncle. That's a piece of good fortune for all of us.'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 叔叔大安了，也是我们一家子的造化。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 烦那位太爷替我请他出来。”\n", "--------------------------------------------------\n", "english: Could I trouble one of you gentlemen to fetch him out for me?'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 烦那位太爷替我请他出来。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n", "--------------------------------------------------\n", "english: short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 我在一边看完了才走。\n", "--------------------------------------------------\n", "english: I didn't leave until I witnessed the whole episode.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 我在一边看完了才走。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 待雄飞高举，明冬再晤，岂非大快之事！”\n", "--------------------------------------------------\n", "english: How delightful it will be to meet again next winter when you have distinguished yourself by soaring to the top over all the other candidates!'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 待雄飞高举，明冬再晤，岂非大快之事！”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 其为崖山以后耶？ 如此江山不忍视。\n", "--------------------------------------------------\n", "english: Or is it after Mount Yai's fateful leap? This lovely land then scarce dared breathe its name.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 其为崖山以后耶？ 如此江山不忍视。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 他为甚么不去禀报皇上？\n", "--------------------------------------------------\n", "english: But I wonder why he doesn't tell the Emperor?\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 他为甚么不去禀报皇上？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 只是许多时不走动，知道他如今是怎样?\n", "--------------------------------------------------\n", "english: 'But it's a long time since you had anything to do with him and hard to say how he may prove after all these years.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 只是许多时不走动，知道他如今是怎样?\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 中间退出来一次，只见小和尚上血迹斑斑。\n", "--------------------------------------------------\n", "english: I pulled out once in the middle of it and found my little Buddha smeared with blood.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 中间退出来一次，只见小和尚上血迹斑斑。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 自己要睡，天气尚早。\n", "--------------------------------------------------\n", "english: He thought of going to bed himself, but it was still too early.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 自己要睡，天气尚早。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 你只顾一时为我得罪了人，他们都记在心里，遇着坎儿，说的好说不好听的，大家什么意思呢？”\n", "--------------------------------------------------\n", "english: You don't seem to realize. You offend people on my account and the next moment you've forgotten all about it. But they haven't. It's all scored up against me; and as soon as something goes a bit wrong, they come out with all these horrible things about me. It makes it so unpleasant for all of us.'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 你只顾一时为我得罪了人，他们都记在心里，遇着坎儿，说的好说不好听的，大家什么意思呢？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 不过…… 不过……”\n", "--------------------------------------------------\n", "english: 'But. . . but—'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 不过…… 不过……”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 我想纯粹为我，这样太自私了，所以就很少干。\n", "--------------------------------------------------\n", "english: I thought it would be too selfish if it were only for me. So I rarely asked for it.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 我想纯粹为我，这样太自私了，所以就很少干。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 等着奶奶下来，我细细儿的回明了，想来奶奶也不至嗔着我莽撞的。”\n", "--------------------------------------------------\n", "english: I thought I would wait for the young mistress to come back and explain it all to her. I hope she won't be angry with me for pushing myself forward.'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 等着奶奶下来，我细细儿的回明了，想来奶奶也不至嗔着我莽撞的。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 我那里那么大工夫管这些事?\n", "--------------------------------------------------\n", "english: I told her, I've got better things to do with my time than go looking for people's handkerchiefs.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 我那里那么大工夫管这些事?\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 你奶奶的，脸色这等难看！”\n", "--------------------------------------------------\n", "english: What a miserable-looking lot!'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 你奶奶的，脸色这等难看！”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 能不能十个打他们一个？”\n", "--------------------------------------------------\n", "english: Enough to fight them ten to one?'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 能不能十个打他们一个？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 你那里肯往我这里来？”\n", "--------------------------------------------------\n", "english: 'What would you want to come here for?'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 你那里肯往我这里来？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 吕留良提笔沉吟半晌，便在画上振笔直书。 顷刻诗成，诗云：\n", "--------------------------------------------------\n", "english: He picked up a writing-brush and for some minutes could be observed muttering to himself in the throes of composition; then, writing straight on to the painting and with pauses only for moistening the brush, he quickly completed the following poem:\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 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", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 蕊初道：“我…… 我在这里玩儿！”\n", "--------------------------------------------------\n", "english: 'I'm just. . . just playing,' said Blossom.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 我…… 我在这里玩儿！\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 侧过了头倾听。\n", "--------------------------------------------------\n", "english: He cocked his head to listen.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 侧过了头倾听。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 只有我例外。\n", "--------------------------------------------------\n", "english: I was the only exception.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 只有我例外。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 青天哟——蓝天哟——花花绿绿的天哟——棒槌哟亲哥哟你死了——可就塌了妹妹的天哟——\n", "--------------------------------------------------\n", "english: A blue sky yo – a sapphire sky yo – a painted sky yo – a mighty cudgel yo – dear elder brother yo – death has claimed you – you have brought down little sister's sky yo –.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 青天哟——蓝天哟——花花绿绿的天哟——棒槌哟亲哥哟你死了——可就塌了妹妹的天哟——\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 对于领导来说，我不存在有很大的便利，可以说明此地没有一个知青被打晕。\n", "--------------------------------------------------\n", "english: For our team leader, my nonexistence was very convenient, because then no one could prove any of the city students had been beaten senseless.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 对于领导来说，我不存在有很大的便利，可以说明此地没有一个知青被打晕。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 因问周瑞家的道：“这老老不知用了早饭没有呢？”\n", "--------------------------------------------------\n", "english: She turned to Zhou Rui's wife. 'I wonder if Grannie has eaten yet today?'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 因问周瑞家的道：“这老老不知用了早饭没有呢？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 可是你使一招，我学一招，最多给你多摔几交，你的法子我总能学了来。”\n", "--------------------------------------------------\n", "english: All I have to do is watch his moves and copy them. He can throw me a few times— I'll soon get the hang of it.'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 可是你使一招，我学一招，最多给你多摔几交，你的法子我总能学了来。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 说到这里，叹了口气，道：“咱们做百姓的，总是死路一条。\n", "--------------------------------------------------\n", "english: He sighed. 'For the common people though, the subjects of Empire, our role is to be the deer.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 说到这里，叹了口气，道：“咱们做百姓的，总是死路一条。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 又说道谁家的戏子好，谁家的花园好，又告诉他谁家的丫头标致，谁家的酒席丰盛，又是谁家有奇货，又是谁家有异物。\n", "--------------------------------------------------\n", "english: He told him which household kept the best troupe of players, which had the finest gardens, whose maids were the prettiest, who gave the best parties, and who had the best collection of curiosities or the strangest pets.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 又说道谁家的戏子好，谁家的花园好，又告诉他谁家的丫头标致，谁家的酒席丰盛，又是谁家有奇货，又是谁家有异物。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 乱秧秧的，人家忘了把发的结婚证要回去。 结果陈清扬留了一张。\n", "--------------------------------------------------\n", "english: In the confusion they forgot to take our marriage certificate back, and so Chen Qingyang kept one for herself.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 乱秧秧的，人家忘了把发的结婚证要回去。 结果陈清扬留了一张。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 严家的娘姨是不让随便出来的，又换得勤，所以就连她家娘姨，也像是骄傲的，与人们并不相识。\n", "--------------------------------------------------\n", "english: There was a high turnover among their servants; in any case, they were not permitted to loiter when they went out for errands, so they, too, appeared aloof.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 严家的娘姨是不让随便出来的，又换得勤，所以就连她家娘姨，也像是骄傲的，与人们并不相识。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 但是对于格外生性者，就须采取锤骟术，也就是割开阴囊，掏出睾九，一木锤砸个稀烂。\n", "--------------------------------------------------\n", "english: But for extremely wild ones, you have to employ the art of hammer-smashing, which is to cut open their scrotums, take out the balls, and then use a wooden hammer to pulverize them.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 但是对于格外生性者，就须采取锤骟术，也就是割开阴囊，掏出睾九，一木锤砸个稀烂。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 老子就吃过。”\n", "--------------------------------------------------\n", "english: Do try some, it's delicious!'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 老子就吃过。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 我问她，碰上了人家怎么说？\n", "--------------------------------------------------\n", "english: I asked, What would the attendant say if he came in right in the middle of things?\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 我问她，碰上了人家怎么说？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 舍我罢！”\n", "--------------------------------------------------\n", "english: Give her to me!'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 舍我罢！\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 也到底大家想个方法儿才好。\n", "--------------------------------------------------\n", "english: 'But can't we all sit down peaceably and think of a way?\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 也到底大家想个方法儿才好。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 莺儿便说：“明明是个么！”\n", "--------------------------------------------------\n", "english: 'It was an ace,' said Oriole, 'as plain as anything!'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 莺儿便说：“明明是个么！”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 她第一次要我证明她清白无辜时，我翻了一串白眼，然后开始胡说八道。 第二次她要我证明我们俩无辜，我又一本正经地向她建议举行一次性交。\n", "--------------------------------------------------\n", "english: The first time she wanted me to prove her innocence, I looked up at the ceiling and began to talk nonsense; the next time she wanted me to prove our innocence, I earnestly suggested having intercourse with her.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 她第一次要我证明她清白无辜时，我翻了一串白眼，然后开始胡说八道。 第二次她要我证明我们俩无辜，我又一本正经地向她建议举行一次性交。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 说道：“有一点点痛，也没什么有趣。”\n", "--------------------------------------------------\n", "english: But all he said was: 'It hurts a bit. I wouldn't have said it was interesting exactly.'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 有一点点痛，也没什么有趣。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 回来的路上扛着她爬坡。\n", "--------------------------------------------------\n", "english: So on the way home I carried her on my shoulder climbing the hills.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 回来的路上扛着她爬坡。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 她要走了……\n", "--------------------------------------------------\n", "english: If she leaves . . .\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 她要走了……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 闷来时敛额，行去几回眸。\n", "--------------------------------------------------\n", "english: Yet, as my brow contracted with new care, Was there not one who, parting, turned to stare?\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 闷来时敛额，行去几回眸。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 我逃跑是晚上的事。\n", "--------------------------------------------------\n", "english: In the evening I made my escape.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 我逃跑是晚上的事。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 还使暗淡生辉。\n", "--------------------------------------------------\n", "english: It had the power to make what was dark and dismal glimmer with light.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 还使暗淡生辉。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 鸡巴！\n", "--------------------------------------------------\n", "english: You pricks!\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 鸡巴！\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 尹兄弟后继有人，青木堂有主儿了。”\n", "--------------------------------------------------\n", "english: It gives Brother Yin a successor and the Green Wood Lodge a Master.'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 尹兄弟后继有人，青木堂有主儿了。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 死活凭我去罢了!\n", "--------------------------------------------------\n", "english: Why can't you just leave me here to die in peace?\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 死活凭我去罢了!\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 在夏夜的屋顶上，躺着看星空的其实不止一个孩子，他们心里都是有些鼓荡，不知要往哪里去，就来到屋顶。\n", "--------------------------------------------------\n", "english: And Old Colour certainly wasn't the only one stargazing from the rooftop on those summer nights; the hearts of all these people are restless and unsure of where to go—and so up they go to the rooftops.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 在夏夜的屋顶上，躺着看星空的其实不止一个孩子，他们心里都是有些鼓荡，不知要往哪里去，就来到屋顶。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 至脂砚斋抄阅再评，仍用《石头记》。\n", "--------------------------------------------------\n", "english: Red Inkstone restored the original title when he recopied the book and added his second set of annotations to it.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 至脂砚斋抄阅再评，仍用《石头记》。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 炎武兄眼见事势紧急，忙瞩伊璜先生家人连夜躲避；想起伊璜先生和晚村兄交好，特来探访。”\n", "--------------------------------------------------\n", "english: In view of the urgency, Yanwu advised the family to make their getaway as soon as it was dark. Then, remembering that Yihuang was a good friend of yours, we thought we'd come and look for him here, '\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 炎武兄眼见事势紧急，忙瞩伊璜先生家人连夜躲避；想起伊璜先生和晚村兄交好，特来探访。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 不看僧面看佛面，不看鱼面看水面，不看我的面子也要看豆官的面子上，留下吧，你要我…… 我也给你…… 你就像我的爹一样……”\n", "--------------------------------------------------\n", "english: 'If not for the sake of the monk, stay for the Buddha. If not for the sake of the fish, stay for the water. If not for my sake, stay for little Douguan. You can have me, if you want. . . . You're like my own father. . . .'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 不看僧面看佛面，不看鱼面看水面，不看我的面子也要看豆官的面子上，留下吧，你要我…… 我也给你…… 你就像我的爹一样……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 我师意为如何？”\n", "--------------------------------------------------\n", "english: What does your reverence say to that?'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 我师意为如何？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 晚村兄何不便题诗一首，将二瞻先生之意，表而出之？”\n", "--------------------------------------------------\n", "english: Why don't you do an inscription, Liuliang — a poem that will give voice to what Erzhan had in mind to say?'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 晚村兄何不便题诗一首，将二瞻先生之意，表而出之？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 我是个什么东西儿!\n", "--------------------------------------------------\n", "english: What sort of creature do you take me for?\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 我是什么东西儿!\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 只是父亲、伯叔、兄弟之伦，因是圣人遗训，不敢违忤，所以弟兄间亦不过尽其大概就罢了，并不想自己是男子，须要为子弟之表率。\n", "--------------------------------------------------\n", "english: Only in the case of his father, uncles and brother, where rudeness and disobedience were expressly forbidden by the teachings of Confucius, did he make an exception – and even then the allowances he made in respect of the fraternal bond were extremely perfunctory. It certainly never occurred to him that his own maleness placed him under any obligation to set an example to the younger males in his clan.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 只是父亲、伯叔、兄弟之伦，因是圣人遗训，不敢违忤，所以弟兄间亦不过尽其大概就罢了，并不想自己是男子，须要为子弟之表率。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 二十年前，他们看承你们还好，如今是你们拉硬屎，不肯去就和他，才疏远起来。\n", "--------------------------------------------------\n", "english: Twenty years ago the Nanking Wangs used to be very good to you folk. It's only because of late years you have been too stiff-necked to approach them that they have become more distant with you.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 二十年前，他们看承你们还好，如今是你们拉硬屎，不肯去就和他，才疏远起来。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 可是陈清扬又从山上跑下来找我。\n", "--------------------------------------------------\n", "english: But Chen Qingyang came down the mountain again to see me.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 可是陈清扬又从山上跑下来找我。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 吕留良道：“他…… 他却没有来。\n", "--------------------------------------------------\n", "english: 'No, ' said Lü, 'no, he's not here.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 吕留良道：“他…… 他却没有来。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 你说什么？\n", "--------------------------------------------------\n", "english: What are you talking about?\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 你说什么？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 成麻子逢人便说：“你们怕什么？ 愁什么？\n", "--------------------------------------------------\n", "english: 'What are you afraid of?' Pocky Cheng asked everyone he met.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 成麻子逢人便说：“你们怕什么？ 愁什么？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 你没净身，我给你净了也不打紧，只不过，唉，迟了，迟了。”\n", "--------------------------------------------------\n", "english: You haven't been purified, of course, but that's no problem. I could have done the cutting for you. Ah, it's a pity. Too late. Just too late.'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 你没净身，我给你净了也不打紧，只不过，唉，迟了，迟了。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 蕊初低声道：“我…… 我……”\n", "--------------------------------------------------\n", "english: 'I. . . I. . .' Blossom began.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 蕊初低声道：“我…… 我……”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 说着出屋而去。\n", "--------------------------------------------------\n", "english: And with that he left the room.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 说着出屋而去。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 余司令又叫：“豆官。”\n", "--------------------------------------------------\n", "english: Commander Yu turned to Father. 'Douguan,' he barked.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 余司令又叫：“豆官。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 怎么不借给温家哥儿俩？”\n", "--------------------------------------------------\n", "english: You could at least have lent to one of the Wen brothers!'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 怎么不借给温家哥儿俩？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 总舵主，你如许我入会，我可快活死啦。”\n", "--------------------------------------------------\n", "english: If you'll let me join, Helmsman, I'll be the happiest boy in the world.'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 总舵主，你如许我入会，我可快活死啦。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 见到他们尸首的时候……\n", "--------------------------------------------------\n", "english: When I saw their bodies ...\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 见到他们尸首的时候……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 依我说，你竟家去住两日，请一个大夫来瞧瞧，吃两剂药，就好了。”\n", "--------------------------------------------------\n", "english: 'If you ask me, I think you ought to go home for a day or two and call in a doctor. I expect you need some medicine.'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 依我说，你竟家去住两日，请一个大夫来瞧瞧，吃两剂药，就好了。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 三闷儿爬起来，抢了一把三齿要砍我，别人劝开了。\n", "--------------------------------------------------\n", "english: He got up, grabbed a pitchfork, and tried to stab me, but somebody stopped him.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 三闷儿爬起来，抢了一把三齿要砍我，别人劝开了。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 不过三年五载，各人干各人的去了，那时谁还管谁呢？”\n", "--------------------------------------------------\n", "english: Another four or five years from now when we've each gone our different ways it won't matter any longer what all the rest of us are doing.'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 不过三年五载，各人干各人的去了，那时谁还管谁呢？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 而像我这样儿在基层摸爬滚打了十几年的重案刑警，受到了他们最好的培养和教育。”\n", "--------------------------------------------------\n", "english: And someone like me, a criminal cop who has been playing cat and mouse with them for more than a decade, has received the best education and training from them.'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 而像我这样儿在基层摸爬滚打了十几年的重案刑警，受到了他们最好的培养和教育。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\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", "gpt-4o/shots-05: 海老公摇头道：“好什么？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 太太听见气死过去了，这会子叫我来拿你。\n", "--------------------------------------------------\n", "english: When Lady Wang first heard, she was so angry that she fainted, but now she's come round again and is asking for you to be brought to her.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 太太听见气死过去了，这会子叫我来拿你。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 补我一枪吧……”\n", "--------------------------------------------------\n", "english: Shoot me, please. . . .'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 补我一枪吧……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 说完这小免崽子就往河岸上窜，想一走了之。\n", "--------------------------------------------------\n", "english: After saying this, the little bastard tried to leap onto the bank to escape.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 说完这小免崽子就往河岸上窜，想一走了之。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 住在刘大爹后山上时，我用它给人看手表。\n", "--------------------------------------------------\n", "english: I used them to fix watches while living on Grandpa Liu's back slope.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 住在刘大爹后山上时，我用它给人看手表。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 他想着：“兄弟们一并都有父母教训，何必我多事，反生疏了。 况且我是正出，他是庶出，饶这样看待，还有人背后谈论，还禁得辖治了他？”\n", "--------------------------------------------------\n", "english: 'We are both equally subject to our parents' control,' he would say of himself and Jia Huan. 'Why should I create a greater distance between us by trying to control him myself – especially when I am the wife's son and he is the concubine's? People already talk behind our backs, even when I do nothing. It would be ten times worse if I were to start bossing him about.'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 他想着：“兄弟们一并都有父母教训，何必我多事，反生疏了。 况且我是正出，他是庶出，饶这样看待，还有人背后谈论，还禁得辖治了他？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 不带我去，立刻便扠死你。”\n", "--------------------------------------------------\n", "english: Take me to her, or I'll strangle you this minute.'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 不带我去，立刻便扠死你。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 我倒再照照正面是什么？”\n", "--------------------------------------------------\n", "english: But let me see what happens when I look into the other side!'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 我倒再照照正面是什么？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 我倒听见说你辛苦了好几天。”\n", "--------------------------------------------------\n", "english: I hear you've been very busy these last few days.'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 我倒听见说你辛苦了好几天。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 要是白来逛逛呢便罢； 有什么说的，只管告诉二奶奶。’”\n", "--------------------------------------------------\n", "english: And she says if it's just an ordinary visit she has nothing more to add; but if they have anything particular to say, she says tell them that they can say it to you instead.'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 要是白来逛逛呢便罢； 有什么说的，只管告诉二奶奶。’”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 因见上面大旨不过谈情，亦只是实录其事，绝无伤时诲淫之病，方从头至尾抄写回来，闻世传奇。\n", "--------------------------------------------------\n", "english: He could see that its main theme was love; that it consisted quite simply of a true record of real events; and that it was entirely free from any tendency to deprave and corrupt. He therefore copied it all out from beginning to end and took it back with him to look for a publisher.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 因见上面大旨不过谈情，亦只是实录其事，绝无伤时诲淫之病，方从头至尾抄写回来，闻世传奇。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 说着便同士隐复过这边书院中来了。\n", "--------------------------------------------------\n", "english: And he accompanied Shi-yin back to the study next door.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 说着便同士隐复过这边书院中来了。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 我所能交待的事就是在地头休息时摸她的乳房。\n", "--------------------------------------------------\n", "english: What I could confess was that I fondled her breasts when we rested at the edge of the field.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 我所能交待的事就是在地头休息时摸她的乳房。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 士隐因说道：“适闻仙师所谈因果，实人世罕闻者；但弟子愚拙，不能洞悉明白。\n", "--------------------------------------------------\n", "english: 'It is not often that one has the opportunity of listening to a discussion of the operations of karma such as the one I have just been privileged to overhear,'said Shi-yin. 'Unfortunately I am a man of very limited understanding and have not been able to derive the full benefit from your conversation.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 士隐因说道：“适闻仙师所谈因果，实人世罕闻者；但弟子愚拙，不能洞悉明白。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 我都听见了。”\n", "--------------------------------------------------\n", "english: I heard you say it.'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 我都听见了。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 找了半天，都是秃的，因说道：“前儿一枝新笔放在那里了? 怎么想不起来？”\n", "--------------------------------------------------\n", "english: After rummaging for several minutes she had only succeeded in finding a few worn-out ones, too moulted for use. 'Funny!' she said. 'I could have sworn I put a new one in there the other day ...'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 找了半天，都是秃的，因说道：“前儿一枝新笔放在那里了? 怎么想不起来？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 怎么敦？ 正着敦反着敦？\n", "--------------------------------------------------\n", "english: How do you want to strengthen it, from the front or from the back?\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 怎么敦？ 正着敦反着敦？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 后来我活过来了，说道：换换，你看我的，我就翻到上面去。\n", "--------------------------------------------------\n", "english: After a while I came back to life and said: Let's switch. Here we go. So I rolled over onto her body.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 后来我活过来了，说道：换换，你看我的，我就翻到上面去。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝道：“我跟海老公。”\n", "--------------------------------------------------\n", "english: 'I'm with Hai Goong-goong.'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 韦小宝道：“我跟海老公。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 那小孩点头道：“我明白了。\n", "--------------------------------------------------\n", "english: 'I know,' said the boy.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 那小孩点头道：“我明白了。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 其盘费余事，弟自代为处置，亦不枉兄之谬识矣。”\n", "--------------------------------------------------\n", "english: I shall take care of all your expenses. It is the least return I can make for your friendship.'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 其盘费余事，弟自代为处置，亦不枉兄之谬识矣。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 自己又不尊重，要往下流里走，安着坏心，还只怨人家偏心呢。\n", "--------------------------------------------------\n", "english: You've no self-respect, that's your trouble. Can't keep away from the gutter. You insist on making yourself disagreeable and then you complain that people are prejudiced against you!\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 自己又不尊重，要往下流里走，安着坏心，还只怨人家偏心呢。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 做你娘的美梦！”\n", "--------------------------------------------------\n", "english: You're fucking dreaming!'\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 做你娘的美梦！”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "--------------------------------------------------\n", "chinese: 对我一刻也不能放松。\n", "--------------------------------------------------\n", "english: People shouldn't let up on me for a minute.\n", "--------------------------------------------------\n", "gpt-4o/shots-05: 对我一刻也不能放松。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-05: 1\n", "### Analyzing: gpt-4o/shots-10\n", "*** Found 0 rows with total_repetitions > 50 for gpt-4o/shots-10\n", "\n", "*** Found 0 rows with output_tokens >= 300 for gpt-4o/shots-10\n", "\n", "*** Found 72 rows with incomplete translations for gpt-4o/shots-10\n", "--------------------------------------------------\n", "chinese: 因问贾环：“你输了多少钱？”\n", "--------------------------------------------------\n", "english: How much did you lose?'\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 因问贾环：“你输了多少钱？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 这种时候我心里很乱。\n", "--------------------------------------------------\n", "english: Then I would feel confused.\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 这种时候我心里很乱。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 一是我在慰问团面前说出了曾经被打晕的事，叫军代表很没面子；二是争风吃醋，所以他一直修理我。\n", "--------------------------------------------------\n", "english: Firstly, I told the relief delegation that I had been beaten unconscious, which made the military deputy lose face; secondly, he and I fought over a woman, which was why he was always trying to screw me.\n", "--------------------------------------------------\n", "gpt-4o/shots-10: One is that I mentioned in front of the慰问团 that I had once been knocked unconscious, which embarrassed the military representative; the second is jealousy, so he has been fixing me all along.\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 不知到了何处。”\n", "--------------------------------------------------\n", "english: I don't know where he can have gone.'\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 不知到了何处。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 还有那一次谋杀……\n", "--------------------------------------------------\n", "english: And those murders ...\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 还有那一次谋杀……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 这一条，你能办到么？”\n", "--------------------------------------------------\n", "english: Do you think you are capable of keeping that rule?'\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 这一条，你能办到么？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 在山上敦伟大友谊时，嘴里喷出白气。\n", "--------------------------------------------------\n", "english: While we were strengthening our great friendship on the mountain, white breath puffed from our mouths.\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 在山上敦伟大友谊时，嘴里喷出白气。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 从没听说过。\n", "--------------------------------------------------\n", "english: Never heard of him.\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 从没听说过。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 韦小宝伸出了舌头，半天缩不进去，随即喜欢得心痒难搔，笑道：“我一定不做坏事。\n", "--------------------------------------------------\n", "english: Trinket stuck his tongue out in amazement and it was some time before he could put it back in again. Yet his overriding feeling was not of amazement but of happiness that he had got this heroic strong man for his teacher. 'I promise you I won't ever do anything bad,' he said.\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 韦小宝伸出了舌头，半天缩不进去，随即喜欢得心痒难搔，笑道：“我一定不做坏事。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 鸡巴，感觉非常之好的啦！\n", "--------------------------------------------------\n", "english: Fuck, I felt terrific.\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 鸡巴，感觉非常之好的啦！\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 咱们两个说话儿不好？”\n", "--------------------------------------------------\n", "english: 'Why can't we both sit here and talk?'\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 我们两个说话儿不好？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 惯养娇生笑你痴，菱花空对雪澌澌。\n", "--------------------------------------------------\n", "english: 'Fond man, your pampered child to cherish so— That caltrop-glass which shines on melting snow!\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 惯养娇生笑你痴，菱花空对雪澌澌。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 回来赶围棋儿，又该你闹‘么爱三’了。”\n", "--------------------------------------------------\n", "english: Presently, when you're playing Racing Go, you'll be all 'thicktheth' and 'theventh' !'\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 回来赶围棋儿，又该你闹‘么爱三’了。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: “有…… 没有…… 有…… 没有……\n", "--------------------------------------------------\n", "english: 'Yes . . . no . . . yes . . . no . . .\n", "--------------------------------------------------\n", "gpt-4o/shots-10: “有…… 没有…… 有…… 没有……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 勒都！\n", "--------------------------------------------------\n", "english: Le Du!\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 勒都！\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 等我来再走。”\n", "--------------------------------------------------\n", "english: You can go when I come for you.'\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 等我来再走。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 因为这些事我无从想象，所以是我存在的证明。\n", "--------------------------------------------------\n", "english: Since I couldn't imagine these things, they must be evidence of my existence.\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 因为这些事我无从想象，所以是我存在的证明。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 你…… 你可摔痛了没有？”\n", "--------------------------------------------------\n", "english: Did you hurt yourself?'\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 你…… 你可摔痛了没有？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 奶奶心中的祷语把她的芳唇冲动。\n", "--------------------------------------------------\n", "english: Her silent prayer made her delicate lips tremble.\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 奶奶心中的祷语把她的芳唇冲动。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 周瑞家的道：“我的娘!\n", "--------------------------------------------------\n", "english: 'My dear good woman,' said the latter when they were out of earshot, 'whatever came over you?\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 周瑞家的道：“我的娘!\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 我可那里敢挑他呢？”\n", "--------------------------------------------------\n", "english: I should never dare to find fault with her.'\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 我可那里敢挑他呢？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 烦那位太爷替我请他出来。”\n", "--------------------------------------------------\n", "english: Could I trouble one of you gentlemen to fetch him out for me?'\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 烦那位太爷替我请他出来。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n", "--------------------------------------------------\n", "english: short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 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", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 待雄飞高举，明冬再晤，岂非大快之事！”\n", "--------------------------------------------------\n", "english: How delightful it will be to meet again next winter when you have distinguished yourself by soaring to the top over all the other candidates!'\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 待雄飞高举，明冬再晤，岂非大快之事！”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 只是许多时不走动，知道他如今是怎样?\n", "--------------------------------------------------\n", "english: 'But it's a long time since you had anything to do with him and hard to say how he may prove after all these years.\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 只是许多时不走动，知道他如今是怎样?\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 自己要睡，天气尚早。\n", "--------------------------------------------------\n", "english: He thought of going to bed himself, but it was still too early.\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 自己要睡，天气尚早。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 你只顾一时为我得罪了人，他们都记在心里，遇着坎儿，说的好说不好听的，大家什么意思呢？”\n", "--------------------------------------------------\n", "english: You don't seem to realize. You offend people on my account and the next moment you've forgotten all about it. But they haven't. It's all scored up against me; and as soon as something goes a bit wrong, they come out with all these horrible things about me. It makes it so unpleasant for all of us.'\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 你只顾一时为我得罪了人，他们都记在心里，遇着坎儿，说的好说不好听的，大家什么意思呢？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 不过…… 不过……”\n", "--------------------------------------------------\n", "english: 'But. . . but—'\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 不过…… 不过……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 等着奶奶下来，我细细儿的回明了，想来奶奶也不至嗔着我莽撞的。”\n", "--------------------------------------------------\n", "english: I thought I would wait for the young mistress to come back and explain it all to her. I hope she won't be angry with me for pushing myself forward.'\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 等着奶奶下来，我细细儿的回明了，想来奶奶也不至嗔着我莽撞的。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 我那里那么大工夫管这些事?\n", "--------------------------------------------------\n", "english: I told her, I've got better things to do with my time than go looking for people's handkerchiefs.\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 我那里那么大工夫管这些事?\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 你那里肯往我这里来？”\n", "--------------------------------------------------\n", "english: 'What would you want to come here for?'\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 你那里肯往我这里来？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 蕊初道：“我…… 我在这里玩儿！”\n", "--------------------------------------------------\n", "english: 'I'm just. . . just playing,' said Blossom.\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 蕊初道：“我…… 我在这里玩儿！”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 侧过了头倾听。\n", "--------------------------------------------------\n", "english: He cocked his head to listen.\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 侧过了头倾听。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 又伸手在他头颈两侧轻轻一按。\n", "--------------------------------------------------\n", "english: Old Hai reached out his hand and pressed lightly on either side of Trinket's neck.\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 又伸手在他头颈两侧轻轻一按。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 因问周瑞家的道：“这老老不知用了早饭没有呢？”\n", "--------------------------------------------------\n", "english: She turned to Zhou Rui's wife. 'I wonder if Grannie has eaten yet today?'\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 因问周瑞家的道：“这老老不知用了早饭没有呢？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 他也想去赶街，可是不到放我们回去的时候，让我们呆在这里无人看管，又不合规定。\n", "--------------------------------------------------\n", "english: He also wanted to go to the market, but it wasn't time to release us yet and leaving us unattended was against the rules.\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 他也想去赶街，可是不到放我们回去的时候，让我们呆在这里无人看管，又不合规定。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 可是你使一招，我学一招，最多给你多摔几交，你的法子我总能学了来。”\n", "--------------------------------------------------\n", "english: All I have to do is watch his moves and copy them. He can throw me a few times— I'll soon get the hang of it.'\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 可是你使一招，我学一招，最多给你多摔几交，你的法子我总能学了来。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 我问她，碰上了人家怎么说？\n", "--------------------------------------------------\n", "english: I asked, What would the attendant say if he came in right in the middle of things?\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 我问她，碰上了人家怎么说？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 就去解乳罩。\n", "--------------------------------------------------\n", "english: So she started to undo her bra.\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 就去解乳罩。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 舍我罢！”\n", "--------------------------------------------------\n", "english: Give her to me!'\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 舍我罢！\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 也到底大家想个方法儿才好。\n", "--------------------------------------------------\n", "english: 'But can't we all sit down peaceably and think of a way?\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 也到底大家想个方法儿才好。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 说道：“有一点点痛，也没什么有趣。”\n", "--------------------------------------------------\n", "english: But all he said was: 'It hurts a bit. I wouldn't have said it was interesting exactly.'\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 说道：“有一点点痛，也没什么有趣。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 回来的路上扛着她爬坡。\n", "--------------------------------------------------\n", "english: So on the way home I carried her on my shoulder climbing the hills.\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 回来的路上扛着她爬坡。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 她要走了……\n", "--------------------------------------------------\n", "english: If she leaves . . .\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 她要走了……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 说着又将匕首移近数寸。\n", "--------------------------------------------------\n", "english: While he was saying this he managed to move the dagger a few inches nearer.\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 说着又将匕首移近数寸。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 闷来时敛额，行去几回眸。\n", "--------------------------------------------------\n", "english: Yet, as my brow contracted with new care, Was there not one who, parting, turned to stare?\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 闷来时敛额，行去几回眸。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 鸡巴！\n", "--------------------------------------------------\n", "english: You pricks!\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 鸡巴！\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 假如当初我退回山上去，这样的事就会发生。\n", "--------------------------------------------------\n", "english: If I had returned to the mountains then, that would have happened.\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 假如当初我退回山上去，这样的事就会发生。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 死活凭我去罢了!\n", "--------------------------------------------------\n", "english: Why can't you just leave me here to die in peace?\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 死活凭我去罢了!\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 我师意为如何？”\n", "--------------------------------------------------\n", "english: What does your reverence say to that?'\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 我师意为如何？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\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", "gpt-4o/shots-10: 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", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 可是陈清扬又从山上跑下来找我。\n", "--------------------------------------------------\n", "english: But Chen Qingyang came down the mountain again to see me.\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 可是陈清扬又从山上跑下来找我。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 吕留良道：“他…… 他却没有来。\n", "--------------------------------------------------\n", "english: 'No, ' said Lü, 'no, he's not here.\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 吕留良道：“他…… 他却没有来。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 蕊初低声道：“我…… 我……”\n", "--------------------------------------------------\n", "english: 'I. . . I. . .' Blossom began.\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 蕊初低声道：“我…… 我……”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 说着出屋而去。\n", "--------------------------------------------------\n", "english: And with that he left the room.\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 说着出屋而去。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 怎么不借给温家哥儿俩？”\n", "--------------------------------------------------\n", "english: You could at least have lent to one of the Wen brothers!'\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 怎么不借给温家哥儿俩？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 见到他们尸首的时候……\n", "--------------------------------------------------\n", "english: When I saw their bodies ...\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 见到他们尸首的时候……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 三闷儿爬起来，抢了一把三齿要砍我，别人劝开了。\n", "--------------------------------------------------\n", "english: He got up, grabbed a pitchfork, and tried to stab me, but somebody stopped him.\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 三闷儿爬起来，抢了一把三齿要砍我，别人劝开了。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 谈到了当年的各种可能性，谈到了我写的交待材料，还谈到了我的小和尚。\n", "--------------------------------------------------\n", "english: We talked about everything we could have done back then, the confessions I wrote, and even the little Buddha of mine.\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 谈到了当年的各种可能性，谈到了我写的交待材料，还谈到了我的小和尚。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 太太听见气死过去了，这会子叫我来拿你。\n", "--------------------------------------------------\n", "english: When Lady Wang first heard, she was so angry that she fainted, but now she's come round again and is asking for you to be brought to her.\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 太太听见气死过去了，这会子叫我来拿你。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 补我一枪吧……”\n", "--------------------------------------------------\n", "english: Shoot me, please. . . .'\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 补我一枪吧……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 他想着：“兄弟们一并都有父母教训，何必我多事，反生疏了。 况且我是正出，他是庶出，饶这样看待，还有人背后谈论，还禁得辖治了他？”\n", "--------------------------------------------------\n", "english: 'We are both equally subject to our parents' control,' he would say of himself and Jia Huan. 'Why should I create a greater distance between us by trying to control him myself – especially when I am the wife's son and he is the concubine's? People already talk behind our backs, even when I do nothing. It would be ten times worse if I were to start bossing him about.'\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 他想着：“兄弟们一并都有父母教训，何必我多事，反生疏了。 况且我是正出，他是庶出，饶这样看待，还有人背后谈论，还禁得辖治了他？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 不带我去，立刻便扠死你。”\n", "--------------------------------------------------\n", "english: Take me to her, or I'll strangle you this minute.'\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 不带我去，立刻便扠死你。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 我倒再照照正面是什么？”\n", "--------------------------------------------------\n", "english: But let me see what happens when I look into the other side!'\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 我倒再照照正面是什么？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 胡思乱想，一夜也不曾合眼。\n", "--------------------------------------------------\n", "english: Torn by these violent and conflicting emotions, he passed the whole night without a single wink of sleep.\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 胡思乱想，一夜也不曾合眼。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 贾环便瞪着眼，“六！” “七！” “八！” 混叫。\n", "--------------------------------------------------\n", "english: 'Six! Seven! Eight!' shouted Jia Huan glaring at Oriole and commanding the die to perform the impossible.\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 贾环便瞪着眼，“六！” “七！” “八！” 混叫。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 说着便同士隐复过这边书院中来了。\n", "--------------------------------------------------\n", "english: And he accompanied Shi-yin back to the study next door.\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 说着便同士隐复过这边书院中来了。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 找了半天，都是秃的，因说道：“前儿一枝新笔放在那里了? 怎么想不起来？”\n", "--------------------------------------------------\n", "english: After rummaging for several minutes she had only succeeded in finding a few worn-out ones, too moulted for use. 'Funny!' she said. 'I could have sworn I put a new one in there the other day ...'\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 找了半天，都是秃的，因说道：“前儿一枝新笔放在那里了? 怎么想不起来？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 怎么敦？ 正着敦反着敦？\n", "--------------------------------------------------\n", "english: How do you want to strengthen it, from the front or from the back?\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 怎么敦？ 正着敦反着敦？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 后来我活过来了，说道：换换，你看我的，我就翻到上面去。\n", "--------------------------------------------------\n", "english: After a while I came back to life and said: Let's switch. Here we go. So I rolled over onto her body.\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 后来我活过来了，说道：换换，你看我的，我就翻到上面去。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 自己又不尊重，要往下流里走，安着坏心，还只怨人家偏心呢。\n", "--------------------------------------------------\n", "english: You've no self-respect, that's your trouble. Can't keep away from the gutter. You insist on making yourself disagreeable and then you complain that people are prejudiced against you!\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 自己又不尊重，要往下流里走，安着坏心，还只怨人家偏心呢。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "--------------------------------------------------\n", "chinese: 对我一刻也不能放松。\n", "--------------------------------------------------\n", "english: People shouldn't let up on me for a minute.\n", "--------------------------------------------------\n", "gpt-4o/shots-10: 对我一刻也不能放松。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-10: 1\n", "### Analyzing: gpt-4o/shots-50\n", "*** Found 0 rows with total_repetitions > 50 for gpt-4o/shots-50\n", "\n", "*** Found 0 rows with output_tokens >= 300 for gpt-4o/shots-50\n", "\n", "*** Found 32 rows with incomplete translations for gpt-4o/shots-50\n", "--------------------------------------------------\n", "chinese: 一是我在慰问团面前说出了曾经被打晕的事，叫军代表很没面子；二是争风吃醋，所以他一直修理我。\n", "--------------------------------------------------\n", "english: Firstly, I told the relief delegation that I had been beaten unconscious, which made the military deputy lose face; secondly, he and I fought over a woman, which was why he was always trying to screw me.\n", "--------------------------------------------------\n", "gpt-4o/shots-50: I mentioned in front of the慰问团 that I had once been knocked unconscious, which embarrassed the military representative; secondly, there was jealousy involved, so he has been constantly picking on me.\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 不知到了何处。”\n", "--------------------------------------------------\n", "english: I don't know where he can have gone.'\n", "--------------------------------------------------\n", "gpt-4o/shots-50: 不知到了何处。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 你难道就知道你的心，不知道我的心不成？”\n", "--------------------------------------------------\n", "english: Do you mean to tell me that you know your own feelings about me but still don't know what my feelings are about you?'\n", "--------------------------------------------------\n", "gpt-4o/shots-50: You难道就知道你的心，不知道我的心不成？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 在山上敦伟大友谊时，嘴里喷出白气。\n", "--------------------------------------------------\n", "english: While we were strengthening our great friendship on the mountain, white breath puffed from our mouths.\n", "--------------------------------------------------\n", "gpt-4o/shots-50: 在山上敦伟大友谊时，嘴里喷出白气。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 鸡巴，感觉非常之好的啦！\n", "--------------------------------------------------\n", "english: Fuck, I felt terrific.\n", "--------------------------------------------------\n", "gpt-4o/shots-50: 鸡巴，感觉非常之好的啦！\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 惯养娇生笑你痴，菱花空对雪澌澌。\n", "--------------------------------------------------\n", "english: 'Fond man, your pampered child to cherish so— That caltrop-glass which shines on melting snow!\n", "--------------------------------------------------\n", "gpt-4o/shots-50: 惯养娇生笑你痴，菱花空对雪澌澌。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 我就静静的躺一躺也好啊。”\n", "--------------------------------------------------\n", "english: I shall be all right if I lie here quietly on my own.'\n", "--------------------------------------------------\n", "gpt-4o/shots-50: 我就静静的躺一躺也好啊。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 回来赶围棋儿，又该你闹‘么爱三’了。”\n", "--------------------------------------------------\n", "english: Presently, when you're playing Racing Go, you'll be all 'thicktheth' and 'theventh' !'\n", "--------------------------------------------------\n", "gpt-4o/shots-50: 回来赶围棋儿，又该你闹‘么爱三’了。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-50: 1\n", "--------------------------------------------------\n", "chinese: “有…… 没有…… 有…… 没有……\n", "--------------------------------------------------\n", "english: 'Yes . . . no . . . yes . . . no . . .\n", "--------------------------------------------------\n", "gpt-4o/shots-50: “有…… 没有…… 有…… 没有……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 勒都！\n", "--------------------------------------------------\n", "english: Le Du!\n", "--------------------------------------------------\n", "gpt-4o/shots-50: 勒都！\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 等我来再走。”\n", "--------------------------------------------------\n", "english: You can go when I come for you.'\n", "--------------------------------------------------\n", "gpt-4o/shots-50: 等我来再走。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n", "--------------------------------------------------\n", "english: short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n", "--------------------------------------------------\n", "gpt-4o/shots-50: 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", "count_chinese_characters-gpt-4o/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 只是许多时不走动，知道他如今是怎样?\n", "--------------------------------------------------\n", "english: 'But it's a long time since you had anything to do with him and hard to say how he may prove after all these years.\n", "--------------------------------------------------\n", "gpt-4o/shots-50: 只是许多时不走动，知道他如今是怎样?\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 自己要睡，天气尚早。\n", "--------------------------------------------------\n", "english: He thought of going to bed himself, but it was still too early.\n", "--------------------------------------------------\n", "gpt-4o/shots-50: 自己要睡，天气尚早。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 不过…… 不过……”\n", "--------------------------------------------------\n", "english: 'But. . . but—'\n", "--------------------------------------------------\n", "gpt-4o/shots-50: 不过…… 不过……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 等着奶奶下来，我细细儿的回明了，想来奶奶也不至嗔着我莽撞的。”\n", "--------------------------------------------------\n", "english: I thought I would wait for the young mistress to come back and explain it all to her. I hope she won't be angry with me for pushing myself forward.'\n", "--------------------------------------------------\n", "gpt-4o/shots-50: 待奶奶下来，我细细儿的回明了，想来奶奶也不至嗔着我莽撞的。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 你那里肯往我这里来？”\n", "--------------------------------------------------\n", "english: 'What would you want to come here for?'\n", "--------------------------------------------------\n", "gpt-4o/shots-50: 你那里肯往我这里来？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 会开得很乱。\n", "--------------------------------------------------\n", "english: The meeting was a complete mess.\n", "--------------------------------------------------\n", "gpt-4o/shots-50: 会开得很乱。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 青天哟——蓝天哟——花花绿绿的天哟——棒槌哟亲哥哟你死了——可就塌了妹妹的天哟——\n", "--------------------------------------------------\n", "english: A blue sky yo – a sapphire sky yo – a painted sky yo – a mighty cudgel yo – dear elder brother yo – death has claimed you – you have brought down little sister's sky yo –.\n", "--------------------------------------------------\n", "gpt-4o/shots-50: 青天哟——蓝天哟——花花绿绿的天哟——棒槌哟亲哥哟你死了——可就塌了妹妹的天哟——\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 对于领导来说，我不存在有很大的便利，可以说明此地没有一个知青被打晕。\n", "--------------------------------------------------\n", "english: For our team leader, my nonexistence was very convenient, because then no one could prove any of the city students had been beaten senseless.\n", "--------------------------------------------------\n", "gpt-4o/shots-50: 对于领导来说，我不存在有很大的便利，可以说明此地没有一个知青被打晕。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 乱秧秧的，人家忘了把发的结婚证要回去。 结果陈清扬留了一张。\n", "--------------------------------------------------\n", "english: In the confusion they forgot to take our marriage certificate back, and so Chen Qingyang kept one for herself.\n", "--------------------------------------------------\n", "gpt-4o/shots-50: 乱秧秧的，人家忘了把发的结婚证要回去。 结果陈清扬留了一张。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 事后，她必得鼓动王琦瑶烫头发做衣服，怀着点自我牺牲的精神。\n", "--------------------------------------------------\n", "english: Afterward she would in a self-deprecating tone urge Wang Qiyao to get some new clothes and have her hair permed.\n", "--------------------------------------------------\n", "gpt-4o/shots-50: 事后，她必得鼓动王琦瑶烫头发做衣服，怀着点自我牺牲的精神。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 舍我罢！”\n", "--------------------------------------------------\n", "english: Give her to me!'\n", "--------------------------------------------------\n", "gpt-4o/shots-50: 舍我罢！\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 她第一次要我证明她清白无辜时，我翻了一串白眼，然后开始胡说八道。 第二次她要我证明我们俩无辜，我又一本正经地向她建议举行一次性交。\n", "--------------------------------------------------\n", "english: The first time she wanted me to prove her innocence, I looked up at the ceiling and began to talk nonsense; the next time she wanted me to prove our innocence, I earnestly suggested having intercourse with her.\n", "--------------------------------------------------\n", "gpt-4o/shots-50: 她第一次要我证明她清白无辜时，我翻了一串白眼，然后开始胡说八道。 第二次她要我证明我们俩无辜，我又一本正经地向她建议举行一次性交。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 鸡巴！\n", "--------------------------------------------------\n", "english: You pricks!\n", "--------------------------------------------------\n", "gpt-4o/shots-50: 鸡巴！\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 同时她揪住乳头往下拉，以示耷拉之状。\n", "--------------------------------------------------\n", "english: Meanwhile, she pulled her breasts down by the nipples to show me where they would reach.\n", "--------------------------------------------------\n", "gpt-4o/shots-50: 同时她揪住乳头往下拉，以示耷拉之状。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 余司令又叫：“豆官。”\n", "--------------------------------------------------\n", "english: Commander Yu turned to Father. 'Douguan,' he barked.\n", "--------------------------------------------------\n", "gpt-4o/shots-50: 余司令又叫：“豆官。”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 补我一枪吧……”\n", "--------------------------------------------------\n", "english: Shoot me, please. . . .'\n", "--------------------------------------------------\n", "gpt-4o/shots-50: 补我一枪吧……\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 找了半天，都是秃的，因说道：“前儿一枝新笔放在那里了? 怎么想不起来？”\n", "--------------------------------------------------\n", "english: After rummaging for several minutes she had only succeeded in finding a few worn-out ones, too moulted for use. 'Funny!' she said. 'I could have sworn I put a new one in there the other day ...'\n", "--------------------------------------------------\n", "gpt-4o/shots-50: 找了半天，都是秃的，因说道：“前儿一枝新笔放在那里了? 怎么想不起来？”\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 怎么敦？ 正着敦反着敦？\n", "--------------------------------------------------\n", "english: How do you want to strengthen it, from the front or from the back?\n", "--------------------------------------------------\n", "gpt-4o/shots-50: 怎么敦？ 正着敦反着敦？\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 其盘费余事，弟自代为处置，亦不枉兄之谬识矣。”\n", "--------------------------------------------------\n", "english: I shall take care of all your expenses. It is the least return I can make for your friendship.'\n", "--------------------------------------------------\n", "gpt-4o/shots-50: 其盘费余事，弟自代为处置，亦不枉兄之谬识矣。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-50: 1\n", "--------------------------------------------------\n", "chinese: 自己又不尊重，要往下流里走，安着坏心，还只怨人家偏心呢。\n", "--------------------------------------------------\n", "english: You've no self-respect, that's your trouble. Can't keep away from the gutter. You insist on making yourself disagreeable and then you complain that people are prejudiced against you!\n", "--------------------------------------------------\n", "gpt-4o/shots-50: 自己又不尊重，要往下流里走，安着坏心，还只怨人家偏心呢。\n", "--------------------------------------------------\n", "count_chinese_characters-gpt-4o/shots-50: 1\n" ] } ], "source": [ "for col in result_columns:\n", " print(f\"### Analyzing: {col}\")\n", " analyze_translation_results(df, col, repetition_threshold=50)" ] }, { "cell_type": "code", "execution_count": 67, "metadata": {}, "outputs": [], "source": [ "metrics_df.to_csv(results_path.replace(\".csv\", \"_metrics.csv\"), index=False)" ] }, { "cell_type": "code", "execution_count": 68, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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shotscometmeteorspbleubleu_1rouge_lews_scorerepetition_scoretotal_repetitionsraptranslation_completenessnum_max_output_tokenseval_timetranslation_speed
count54.00000054.00000054.00000054.00000054.00000054.00000054.054.00000054.00000054.00000054.00000054.00000052.00000052.000000
mean11.5000000.7181160.36782211.3011960.1130120.3595720.00.2202450.2202450.7117750.9694192.35185211.91474311.928443
std17.6835390.0198440.0328432.0677640.0206780.0290080.00.3542350.3542350.0246130.02745610.02103024.1480148.891092
min0.0000000.6638020.2887496.6166860.0661670.2915780.00.0353050.0353050.6445500.8790820.0000000.9805830.228538
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50%4.0000000.7245800.37467711.7944670.1179450.3669520.00.1262140.1262140.7202480.9805830.0000002.15710512.529705
75%10.0000000.7322990.38664312.4758660.1247590.3779250.00.1535750.1535750.7274020.9858780.0000008.91703420.636125
max50.0000000.7481930.44015415.3863490.1538630.4171310.02.2162402.2162400.7449260.99647070.000000117.98411327.497750
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" ], "text/plain": [ " shots comet meteor spbleu bleu_1 rouge_l \\\n", "count 54.000000 54.000000 54.000000 54.000000 54.000000 54.000000 \n", "mean 11.500000 0.718116 0.367822 11.301196 0.113012 0.359572 \n", "std 17.683539 0.019844 0.032843 2.067764 0.020678 0.029008 \n", "min 0.000000 0.663802 0.288749 6.616686 0.066167 0.291578 \n", "25% 1.000000 0.708746 0.355995 10.203512 0.102035 0.343949 \n", "50% 4.000000 0.724580 0.374677 11.794467 0.117945 0.366952 \n", "75% 10.000000 0.732299 0.386643 12.475866 0.124759 0.377925 \n", "max 50.000000 0.748193 0.440154 15.386349 0.153863 0.417131 \n", "\n", " ews_score repetition_score total_repetitions rap \\\n", "count 54.0 54.000000 54.000000 54.000000 \n", "mean 0.0 0.220245 0.220245 0.711775 \n", "std 0.0 0.354235 0.354235 0.024613 \n", "min 0.0 0.035305 0.035305 0.644550 \n", "25% 0.0 0.092233 0.092233 0.702516 \n", "50% 0.0 0.126214 0.126214 0.720248 \n", "75% 0.0 0.153575 0.153575 0.727402 \n", "max 0.0 2.216240 2.216240 0.744926 \n", "\n", " translation_completeness num_max_output_tokens eval_time \\\n", "count 54.000000 54.000000 52.000000 \n", "mean 0.969419 2.351852 11.914743 \n", "std 0.027456 10.021030 24.148014 \n", "min 0.879082 0.000000 0.980583 \n", "25% 0.962489 0.000000 1.306708 \n", "50% 0.980583 0.000000 2.157105 \n", "75% 0.985878 0.000000 8.917034 \n", "max 0.996470 70.000000 117.984113 \n", "\n", " translation_speed \n", "count 52.000000 \n", "mean 11.928443 \n", "std 8.891092 \n", "min 0.228538 \n", "25% 3.023910 \n", "50% 12.529705 \n", "75% 20.636125 \n", "max 27.497750 " ] }, "execution_count": 68, "metadata": {}, "output_type": "execute_result" } ], "source": [ "metrics_df.describe()" ] }, { "cell_type": "code", "execution_count": 69, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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ground_truth_ews_scoreground_truth_repetition_scoreground_truth_total_repetitionscount_chinese_characters-ground_truthews_scorerepetition_scoretotal_repetitionsground_truth_tokens-Qwen/Qwen2-72B-Instructcount_chinese_characters-Qwen/Qwen2-72B-Instruct/shots-00output_tokens-Qwen/Qwen2-72B-Instruct/shots-00...count_chinese_characters-gpt-4o/shots-01output_tokens-gpt-4o/shots-01count_chinese_characters-gpt-4o/shots-03output_tokens-gpt-4o/shots-03count_chinese_characters-gpt-4o/shots-05output_tokens-gpt-4o/shots-05count_chinese_characters-gpt-4o/shots-10output_tokens-gpt-4o/shots-10count_chinese_characters-gpt-4o/shots-50output_tokens-gpt-4o/shots-50
count1133.01133.0000001133.0000001133.0000001133.01133.0000001133.0000001133.0000001133.0000001133.000000...1133.0000001133.0000001133.0000001133.0000001133.0000001133.0000001133.0000001133.0000001133.0000001133.000000
mean0.00.3124450.31244526.9638130.00.0759050.07590529.4580760.03265731.496911...0.03883527.8234770.05648728.3248010.12091828.4157110.06354827.8746690.02824427.531333
std0.07.1936497.19364919.0695100.01.2281561.22815620.1266590.17781524.337208...0.19328718.6445910.23096219.6007520.32617618.7700230.24405418.6007950.16574118.630832
min0.00.0000000.0000002.0000000.00.0000000.0000001.0000000.0000002.000000...0.0000002.0000000.0000002.0000000.0000002.0000000.0000002.0000000.0000002.000000
25%0.00.0000000.00000014.0000000.00.0000000.00000016.0000000.00000016.000000...0.00000015.0000000.00000015.0000000.00000015.0000000.00000015.0000000.00000015.000000
50%0.00.0000000.00000022.0000000.00.0000000.00000025.0000000.00000025.000000...0.00000023.0000000.00000024.0000000.00000024.0000000.00000024.0000000.00000023.000000
75%0.00.0000000.00000035.0000000.00.0000000.00000038.0000000.00000039.000000...0.00000035.0000000.00000037.0000000.00000036.0000000.00000035.0000000.00000035.000000
max0.0239.000000239.000000143.0000000.028.00000028.000000135.0000001.000000300.000000...1.000000137.0000001.000000215.0000001.000000127.0000001.000000125.0000001.000000133.000000
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8 rows × 124 columns

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