diff --git a/README.md b/README.md
index 7b02f589..8670d9dd 100644
--- a/README.md
+++ b/README.md
@@ -12,7 +12,7 @@
 
 **在线阅读地址：[面向开发者的 LLM 入门课程-在线阅读](https://datawhalechina.github.io/llm-cookbook/)**
 
-**PDF下载地址：[面向开发者的 LLM 入门教程-PDF](https://github.com/datawhalechina/llm-cookbook/releases/tag/v1%2C0%2C0)**
+**PDF下载地址：[面向开发者的 LLM 入门教程-PDF](https://datawhalechina.github.io/llm-cookbook/releases)**
 
 **英文原版地址：[吴恩达关于大模型的系列课程](https://learn.deeplearning.ai)**
 
@@ -94,7 +94,7 @@ LLM 正在逐步改变人们的生活，而对于开发者，如何基于 LLM 
 - [魂兮](https://github.com/wisdom-pan)（内容创作者-前端工程师）
 - [宋志学](https://github.com/KMnO4-zx)（内容创作者-Datawhale成员）
 - [韩颐堃](https://github.com/YikunHan42)（内容创作者-Datawhale成员）
-- [陈逸涵](https://github.com/6forwater29) (内容创作者-Datawhale意向成员-AI爱好者)
+- [陈逸涵](https://github.com/6forwater29) (内容创作者-Datawhale成员-AI爱好者)
 - [仲泰](https://github.com/ztgg0228)（内容创作者-Datawhale成员）
 - [万礼行](https://github.com/leason-wan)（内容创作者-视频翻译者）
 - [王熠明](https://github.com/Bald0Wang)（内容创作者-Datawhale成员）
diff --git "a/content/\345\277\205\344\277\256\344\270\211-LangChain for LLM Application Development/2.\346\250\241\345\236\213\343\200\201\346\217\220\347\244\272\345\222\214\350\247\243\346\236\220\345\231\250 Models, Prompts and Output Parsers.ipynb" "b/content/\345\277\205\344\277\256\344\270\211-LangChain for LLM Application Development/2.\346\250\241\345\236\213\343\200\201\346\217\220\347\244\272\345\222\214\350\247\243\346\236\220\345\231\250 Models, Prompts and Output Parsers.ipynb"
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+++ "b/content/\345\277\205\344\277\256\344\270\211-LangChain for LLM Application Development/2.\346\250\241\345\236\213\343\200\201\346\217\220\347\244\272\345\222\214\350\247\243\346\236\220\345\231\250 Models, Prompts and Output Parsers.ipynb"	
@@ -1 +1 @@
-{"cells":[{"cell_type":"markdown","metadata":{},"source":["# 第二章 模型，提示和输出解释器\n","\n"," - [一、设置OpenAI API Key](#一、设置OpenAI-API-Key)\n"," - [二、直接使用OpenAI](#二、直接使用OpenAI)\n","     - [2.1 计算1+1](#2.1-计算1+1)\n","     - [2.2 用美式英语表达海盗邮件](#2.2-用美式英语表达海盗邮件)\n","     - [2.3 中文版](#2.3-中文版)\n"," - [三、通过LangChain使用OpenAI](#三、通过LangChain使用OpenAI)\n","     - [3.1 模型](#3.1-模型)\n","     - [3.2 提示模板](#3.2-提示模板)\n","         - [3.2.1 使用LangChain提示模版](#3.2.1-使用LangChain提示模版)\n","         - [3.2.2 中文版](#3.2.2-中文版)\n","         - [3.2.2 为什么需要提示模版](#3.2.2-为什么需要提示模版)\n","     - [3.3 输出解析器](#3.3-输出解析器)\n","         - [3.3.1 如果没有输出解析器](#3.3.1-如果没有输出解析器)\n","         - [3.3.2 中文版](#3.3.2-中文版)\n","         - [3.3.3 LangChain输出解析器](#3.3.3-LangChain输出解析器)\n","         - [3.3.4 中文版](#3.3.4-中文版)\n"," - [四、补充材料](#四、补充材料)\n","     - [4.1 链式思考推理(ReAct)](#4.1-链式思考推理(ReAct))\n"]},{"cell_type":"markdown","metadata":{"tags":[]},"source":["## 一、设置OpenAI API Key\n","\n","登陆 [OpenAI 账户](https://platform.openai.com/account/api-keys) 获取API Key，然后将其设置为环境变量。\n","\n","- 如果你想要设置为全局环境变量，可以参考[知乎文章](https://zhuanlan.zhihu.com/p/627665725)。\n","- 如果你想要设置为本地/项目环境变量，在本文件目录下创建`.env`文件, 打开文件输入以下内容。\n","\n","    <p style=\"font-family:verdana; font-size:12px;color:green\">\n","    OPENAI_API_KEY=\"your_api_key\" \n","    </p>\n","  \n","  替换\"your_api_key\"为你自己的 API Key"]},{"cell_type":"code","execution_count":1,"metadata":{"tags":[]},"outputs":[],"source":["import os\n","import openai\n","from dotenv import load_dotenv, find_dotenv\n","\n","# 读取本地/项目的环境变量。\n","\n","# find_dotenv()寻找并定位.env文件的路径\n","# load_dotenv()读取该.env文件，并将其中的环境变量加载到当前的运行环境中  \n","# 如果你设置的是全局的环境变量，这行代码则没有任何作用。\n","_ = load_dotenv(find_dotenv())\n","\n","# 获取环境变量 OPENAI_API_KEY\n","openai.api_key = os.environ['OPENAI_API_KEY']  "]},{"cell_type":"markdown","metadata":{"tags":[]},"source":["## 二、直接使用OpenAI\n","\n","我们先从直接调用OpenAI的API开始。\n","\n","`get_completion`函数是基于`openai`的封装函数，对于给定提示（prompt）输出相应的回答。其包含两个参数\n","   \n","   - `prompt` 必需输入参数。 你给模型的**提示，可以是一个问题，可以是你需要模型帮助你做的事**（改变文本写作风格，翻译，回复消息等等）。\n","   - `model` 非必需输入参数。默认使用gpt-3.5-turbo。你也可以选择其他模型。\n","   \n","这里的提示对应我们给chatgpt的问题，函数给出的输出则对应chatpgt给我们的答案。"]},{"cell_type":"code","execution_count":2,"metadata":{"tags":[]},"outputs":[],"source":["from openai import OpenAI\n","def get_completion(prompt, model=\"gpt-3.5-turbo\"):\n","    \n","    messages = [{\"role\": \"user\", \"content\": prompt}]\n","    client = OpenAI()\n","\n","    response = client.chat.completions.create(\n","        model=model,\n","        messages=messages,\n","        temperature=0, \n","    )\n","    return response.choices[0].message.content"]},{"cell_type":"markdown","metadata":{"tags":[]},"source":["### 2.1 计算1+1\n","\n","我们来一个简单的例子 - 分别用中英文问问模型\n","\n","- 中文提示(Prompt in Chinese)： `1+1是什么？`\n","- 英文提示(Prompt in English)： `What is 1+1?`"]},{"cell_type":"code","execution_count":3,"metadata":{},"outputs":[{"data":{"text/plain":["'1+1等于2。'"]},"execution_count":3,"metadata":{},"output_type":"execute_result"}],"source":["# 中文\n","get_completion(\"1+1是什么？\")"]},{"cell_type":"code","execution_count":4,"metadata":{"tags":[]},"outputs":[{"data":{"text/plain":["'1+1 equals 2.'"]},"execution_count":4,"metadata":{},"output_type":"execute_result"}],"source":["# 英文\n","get_completion(\"What is 1+1?\")"]},{"cell_type":"markdown","metadata":{"tags":[]},"source":["### 2.2 用美式英语表达海盗邮件\n","\n","上面的简单例子，模型`gpt-3.5-turbo`对我们的关于1+1是什么的提问给出了回答。\n","\n","现在我们来看一个复杂一点的例子： \n","\n","假设我们是电商公司员工，我们的顾客是一名海盗A，他在我们的网站上买了一个榨汁机用来做奶昔，在制作奶昔的过程中，奶昔的盖子飞了出去，弄得厨房墙上到处都是。于是海盗A给我们的客服中心写来以下邮件：`customer_email`"]},{"cell_type":"code","execution_count":5,"metadata":{"tags":[]},"outputs":[],"source":["customer_email = \"\"\"\n","Arrr, I be fuming that me blender lid \\\n","flew off and splattered me kitchen walls \\\n","with smoothie! And to make matters worse,\\\n","the warranty don't cover the cost of \\\n","cleaning up me kitchen. I need yer help \\\n","right now, matey!\n","\"\"\""]},{"cell_type":"markdown","metadata":{},"source":["我们的客服人员对于海盗的措辞表达觉得有点难以理解。 现在我们想要实现两个小目标：\n","\n","- 让模型用美式英语的表达方式将海盗的邮件进行翻译，客服人员可以更好理解。*这里海盗的英文表达可以理解为英文的方言，其与美式英语的关系，就如四川话与普通话的关系。\n","- 让模型在翻译是用平和尊重的语气进行表达，客服人员的心情也会更好。\n","\n","根据这两个小目标，定义一下文本表达风格：`style`"]},{"cell_type":"code","execution_count":6,"metadata":{"tags":[]},"outputs":[],"source":["# 美式英语 + 平静、尊敬的语调\n","style = \"\"\"American English \\\n","in a calm and respectful tone\n","\"\"\""]},{"cell_type":"markdown","metadata":{},"source":["下一步需要做的是将`customer_email`和`style`结合起来构造我们的提示:`prompt`"]},{"cell_type":"code","execution_count":7,"metadata":{"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["Translate the text that is delimited by triple backticks \n","into a style that is American English in a calm and respectful tone\n",".\n","text: ```\n","Arrr, I be fuming that me blender lid flew off and splattered me kitchen walls with smoothie! And to make matters worse,the warranty don't cover the cost of cleaning up me kitchen. I need yer help right now, matey!\n","```\n","\n"]}],"source":["# 要求模型根据给出的语调进行转化\n","prompt = f\"\"\"Translate the text \\\n","that is delimited by triple backticks \n","into a style that is {style}.\n","text: ```{customer_email}```\n","\"\"\"\n","\n","print(prompt)"]},{"cell_type":"markdown","metadata":{},"source":["`prompt` 构造好了，我们可以调用`get_completion`得到我们想要的结果 - 用平和尊重的语气，美式英语表达的海盗语言邮件"]},{"cell_type":"code","execution_count":8,"metadata":{},"outputs":[],"source":["response = get_completion(prompt)"]},{"cell_type":"code","execution_count":9,"metadata":{"tags":[]},"outputs":[{"data":{"text/plain":["\"Ah, I'm really frustrated that my blender lid flew off and splattered my kitchen walls with smoothie! And to make matters worse, the warranty doesn't cover the cost of cleaning up my kitchen. I could really use your help right now, friend.\""]},"execution_count":9,"metadata":{},"output_type":"execute_result"}],"source":["response"]},{"cell_type":"markdown","metadata":{},"source":["对比语言风格转换前后，用词更为正式，替换了极端情绪的表达，并表达了感谢。\n","\n","✨ 你可以尝试修改提示，看可以得到什么不一样的结果😉"]},{"cell_type":"markdown","metadata":{"tags":[]},"source":["### 2.3 中文版"]},{"cell_type":"code","execution_count":10,"metadata":{},"outputs":[],"source":["# 普通话 + 平静、尊敬的语调\n","style = \"\"\"正式普通话 \\\n","用一个平静、尊敬的语调\n","\"\"\""]},{"cell_type":"code","execution_count":11,"metadata":{},"outputs":[],"source":["# 非正式用语\n","customer_email = \"\"\"   \n","阿，我很生气，\\\n","因为我的搅拌机盖掉了，\\\n","把奶昔溅到了厨房的墙上！\\\n","更糟糕的是，保修不包括打扫厨房的费用。\\\n","我现在需要你的帮助，伙计！\n","\"\"\""]},{"cell_type":"code","execution_count":12,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["把由三个反引号分隔的文本翻译成一种正式普通话 用一个平静、尊敬的语调\n","风格。\n","文本: ```   \n","阿，我很生气，因为我的搅拌机盖掉了，把奶昔溅到了厨房的墙上！更糟糕的是，保修不包括打扫厨房的费用。我现在需要你的帮助，伙计！\n","```\n","\n"]}],"source":["# 要求模型根据给出的语调进行转化\n","prompt = f\"\"\"把由三个反引号分隔的文本\\\n","翻译成一种{style}风格。\n","文本: ```{customer_email}```\n","\"\"\"\n","\n","print(prompt)\n","\n"]},{"cell_type":"code","execution_count":13,"metadata":{},"outputs":[{"data":{"text/plain":["'尊敬的先生/女士，\\n\\n我感到非常不安，因为我的搅拌机盖子掉了，导致奶昔溅到了厨房的墙上！更糟糕的是，保修不包括清洁厨房的费用。我现在需要您的帮助，朋友！感谢您的理解和支持。'"]},"execution_count":13,"metadata":{},"output_type":"execute_result"}],"source":["response = get_completion(prompt)\n","\n","response"]},{"cell_type":"markdown","metadata":{"tags":[]},"source":["## 三、通过LangChain使用OpenAI\n","\n","在前面一部分，我们通过封装函数`get_completion`直接调用了OpenAI完成了对方言邮件进行了的翻译，得到用平和尊重的语气、正式的普通话表达的邮件。\n","\n","让我们尝试使用LangChain来实现相同的功能。"]},{"cell_type":"markdown","metadata":{"tags":[]},"source":["### 3.1 模型\n","\n","从`langchain_community.chat_models.openai`导入`OpenAI`的对话模型`ChatOpenAI`。 除去OpenAI以外，`langchain_community.chat_models`还集成了其他对话模型，更多细节可以查看[Langchain官方文档](https://python.langchain.com/en/latest/modules/models/chat/integrations.html)。"]},{"cell_type":"code","execution_count":14,"metadata":{"tags":[]},"outputs":[],"source":["from langchain_community.chat_models.openai import ChatOpenAI"]},{"cell_type":"code","execution_count":null,"metadata":{"tags":[]},"outputs":[],"source":["# 这里我们将参数temperature设置为0.0，从而减少生成答案的随机性。\n","# 如果你想要每次得到不一样的有新意的答案，可以尝试调整该参数。\n","chat = ChatOpenAI(temperature=0)\n","chat"]},{"cell_type":"markdown","metadata":{},"source":["上面的输出显示ChatOpenAI的默认模型为`gpt-3.5-turbo`"]},{"cell_type":"markdown","metadata":{},"source":["### 3.2 提示模板\n","\n","在前面的例子中，我们通过[f字符串](https://docs.python.org/zh-cn/3/tutorial/inputoutput.html#tut-f-strings)把Python表达式的值`style`和`customer_email`添加到`prompt`字符串内。\n","\n","```python\n","prompt = f\"\"\"Translate the text \\\n","that is delimited by triple backticks \n","into a style that is {style}.\n","text: ```{customer_email}```\n","\"\"\"\n","```\n","`langchain`提供了接口方便快速的构造和使用提示。现在我们来看看如何使用`langchain`来构造提示。"]},{"cell_type":"markdown","metadata":{"tags":[]},"source":["#### 3.2.1 使用LangChain提示模版"]},{"cell_type":"markdown","metadata":{"tags":[]},"source":["##### 1️⃣ 构造提示模版字符串\n","我们构造一个提示模版字符串：`template_string`"]},{"cell_type":"code","execution_count":16,"metadata":{"tags":[]},"outputs":[],"source":["template_string = \"\"\"Translate the text \\\n","that is delimited by triple backticks \\\n","into a style that is {style}. \\\n","text: ```{text}```\n","\"\"\""]},{"cell_type":"markdown","metadata":{"tags":[]},"source":["##### 2️⃣ 构造LangChain提示模版\n","我们调用`ChatPromptTemplate.from_template()`函数将上面的提示模版字符`template_string`转换为提示模版`prompt_template`"]},{"cell_type":"code","execution_count":17,"metadata":{"tags":[]},"outputs":[],"source":["from langchain.prompts.chat import ChatPromptTemplate\n","prompt_template = ChatPromptTemplate.from_template(template_string)"]},{"cell_type":"code","execution_count":18,"metadata":{"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["input_variables=['style', 'text'] template='Translate the text that is delimited by triple backticks into a style that is {style}. text: ```{text}```\\n'\n"]}],"source":["print(prompt_template.messages[0].prompt)"]},{"cell_type":"markdown","metadata":{},"source":["从上面的输出可以看出，`prompt_template` 有两个输入变量： `style` 和 `text`。"]},{"cell_type":"code","execution_count":19,"metadata":{"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["['style', 'text']\n"]}],"source":["print(prompt_template.messages[0].prompt.input_variables)"]},{"cell_type":"markdown","metadata":{},"source":["##### 3️⃣ 使用模版得到客户消息提示\n","\n","langchain提示模版`prompt_template`需要两个输入变量： `style` 和 `text`。 这里分别对应 \n","- `customer_style`: 我们想要的顾客邮件风格\n","- `customer_email`: 顾客的原始邮件文本。"]},{"cell_type":"code","execution_count":20,"metadata":{"tags":[]},"outputs":[],"source":["customer_style = \"\"\"American English \\\n","in a calm and respectful tone\n","\"\"\""]},{"cell_type":"code","execution_count":21,"metadata":{"tags":[]},"outputs":[],"source":["customer_email = \"\"\"\n","Arrr, I be fuming that me blender lid \\\n","flew off and splattered me kitchen walls \\\n","with smoothie! And to make matters worse, \\\n","the warranty don't cover the cost of \\\n","cleaning up me kitchen. I need yer help \\\n","right now, matey!\n","\"\"\""]},{"cell_type":"markdown","metadata":{},"source":["对于给定的`customer_style`和`customer_email`, 我们可以使用提示模版`prompt_template`的`format_messages`方法生成想要的客户消息`customer_messages`。"]},{"cell_type":"code","execution_count":22,"metadata":{"tags":[]},"outputs":[],"source":["customer_messages = prompt_template.format_messages(\n","                    style=customer_style,\n","                    text=customer_email)"]},{"cell_type":"code","execution_count":23,"metadata":{"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["<class 'list'>\n","<class 'langchain_core.messages.human.HumanMessage'>\n"]}],"source":["print(type(customer_messages))\n","print(type(customer_messages[0]))"]},{"cell_type":"markdown","metadata":{},"source":["可以看出`customer_messages`变量类型为列表(`list`)，而列表里的元素变量类型为langchain自定义消息(`langchain.schema.HumanMessage`)。\n","\n","打印第一个元素可以得到如下:"]},{"cell_type":"code","execution_count":24,"metadata":{"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["content=\"Translate the text that is delimited by triple backticks into a style that is American English in a calm and respectful tone\\n. text: ```\\nArrr, I be fuming that me blender lid flew off and splattered me kitchen walls with smoothie! And to make matters worse, the warranty don't cover the cost of cleaning up me kitchen. I need yer help right now, matey!\\n```\\n\"\n"]}],"source":["print(customer_messages[0])"]},{"cell_type":"code","execution_count":25,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["content='把由三个反引号分隔的文本翻译成一种正式普通话 用一个平静、尊敬的语气\\n风格。文本: ```\\n阿，我很生气，因为我的搅拌机盖掉了，把奶昔溅到了厨房的墙上！更糟糕的是，保修不包括打扫厨房的费用。我现在需要你的帮助，伙计！\\n```\\n'\n"]}],"source":["# 中文提示\n","from langchain.prompts import ChatPromptTemplate\n","\n","template_string = \"\"\"把由三个反引号分隔的文本\\\n","翻译成一种{style}风格。\\\n","文本: ```{text}```\n","\"\"\"\n","prompt_template = ChatPromptTemplate.from_template(template_string)\n","\n","customer_style = \"\"\"正式普通话 \\\n","用一个平静、尊敬的语气\n","\"\"\"\n","\n","customer_email = \"\"\"\n","阿，我很生气，\\\n","因为我的搅拌机盖掉了，\\\n","把奶昔溅到了厨房的墙上！\\\n","更糟糕的是，保修不包括打扫厨房的费用。\\\n","我现在需要你的帮助，伙计！\n","\"\"\"\n","\n","customer_messages = prompt_template.format_messages(\n","                    style=customer_style,\n","                    text=customer_email)\n","\n","\n","print(customer_messages[0])"]},{"cell_type":"markdown","metadata":{},"source":["##### 4️⃣ 调用chat模型转换客户消息风格\n","\n","现在我们可以调用[模型](#model)部分定义的chat模型来实现转换客户消息风格。到目前为止，我们已经实现了在前一部分的任务。"]},{"cell_type":"code","execution_count":26,"metadata":{"tags":[]},"outputs":[],"source":["customer_response = chat.invoke(customer_messages, temperature=0.0)"]},{"cell_type":"code","execution_count":27,"metadata":{"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["非常抱歉听到您的困扰。我理解您的不快，因为搅拌机盖掉了，导致奶昔溅到了厨房的墙上。更令人不安的是，保修不包括清洁厨房的费用。现在我需要您的帮助，朋友。让我们一起解决这个问题。感谢您的理解和支持。\n"]}],"source":["print(customer_response.content)"]},{"cell_type":"code","execution_count":28,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["非常抱歉听到您的困扰。我理解您的不快，因为搅拌机盖掉了，导致奶昔溅到了厨房的墙上。更令人不安的是，保修不包括清洁厨房的费用。现在我需要您的帮助，朋友。让我们一起解决这个问题。感谢您的理解和支持。\n"]}],"source":["print(customer_response.content)"]},{"cell_type":"markdown","metadata":{},"source":["##### 5️⃣ 使用模版得到回复消息提示\n","\n","接下来，我们更进一步，将客服人员回复的消息，转换为海盗的语言风格，并确保消息比较有礼貌。 \n","\n","这里，我们可以继续使用第2️⃣步构造的langchain提示模版，来获得我们回复消息提示。"]},{"cell_type":"code","execution_count":29,"metadata":{"tags":[]},"outputs":[],"source":["service_reply = \"\"\"Hey there customer, \\\n","the warranty does not cover \\\n","cleaning expenses for your kitchen \\\n","because it's your fault that \\\n","you misused your blender \\\n","by forgetting to put the lid on before \\\n","starting the blender. \\\n","Tough luck! See ya!\n","\"\"\""]},{"cell_type":"code","execution_count":30,"metadata":{},"outputs":[],"source":["service_style_pirate = \"\"\"\\\n","a polite tone \\\n","that speaks in English Pirate\\\n","\"\"\""]},{"cell_type":"code","execution_count":31,"metadata":{"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["把由三个反引号分隔的文本翻译成一种a polite tone that speaks in English Pirate风格。文本: ```Hey there customer, the warranty does not cover cleaning expenses for your kitchen because it's your fault that you misused your blender by forgetting to put the lid on before starting the blender. Tough luck! See ya!\n","```\n","\n"]}],"source":["service_messages = prompt_template.format_messages(\n","    style=service_style_pirate,\n","    text=service_reply)\n","\n","print(service_messages[0].content)"]},{"cell_type":"markdown","metadata":{},"source":["##### 6️⃣ 调用chat模型转换回复消息风格\n","\n","调用[模型](#model)部分定义的chat模型来转换回复消息风格"]},{"cell_type":"code","execution_count":32,"metadata":{"tags":[]},"outputs":[{"name":"stderr","output_type":"stream","text":["/Users/lta/anaconda3/envs/cookbook/lib/python3.10/site-packages/langchain_core/_api/deprecation.py:119: LangChainDeprecationWarning: The method `BaseChatModel.__call__` was deprecated in langchain-core 0.1.7 and will be removed in 0.3.0. Use invoke instead.\n","  warn_deprecated(\n"]},{"name":"stdout","output_type":"stream","text":["Ahoy there, me hearty customer! The warranty be not coverin' the cleanin' expenses for yer galley because 'tis yer own fault for misusin' yer blender by forgettin' to put the lid on afore startin' the blender. Tough luck, matey! Fare thee well!\n"]}],"source":["service_response = chat(service_messages)\n","print(service_response.content)"]},{"cell_type":"markdown","metadata":{},"source":["#### 3.2.2 中文版"]},{"cell_type":"code","execution_count":33,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["把由三个反引号分隔的文本翻译成一种一个有礼貌的语气 使用正式的普通话 风格。文本: ```嘿，顾客， 保修不包括厨房的清洁费用， 因为您在启动搅拌机之前 忘记盖上盖子而误用搅拌机, 这是您的错。 倒霉！ 再见！\n","```\n","\n"]}],"source":["service_reply = \"\"\"嘿，顾客， \\\n","保修不包括厨房的清洁费用， \\\n","因为您在启动搅拌机之前 \\\n","忘记盖上盖子而误用搅拌机, \\\n","这是您的错。 \\\n","倒霉！ 再见！\n","\"\"\"\n","\n","service_style_pirate = \"\"\"\\\n","一个有礼貌的语气 \\\n","使用正式的普通话 \\\n","\"\"\"\n","service_messages = prompt_template.format_messages(\n","    style=service_style_pirate,\n","    text=service_reply)\n","\n","print(service_messages[0].content)"]},{"cell_type":"code","execution_count":34,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["尊敬的顾客，根据我们的保修政策，很遗憾告知您，厨房清洁费用不在保修范围内。这是因为在使用搅拌机之前，您忘记盖上盖子而导致搅拌机误用，这属于您的责任范围。非常抱歉给您带来不便。祝您好运，再见。\n"]}],"source":["service_response = chat(service_messages)\n","print(service_response.content)"]},{"cell_type":"markdown","metadata":{"tags":[]},"source":["#### 3.2.2 为什么需要提示模版"]},{"cell_type":"markdown","metadata":{},"source":["在应用于比较复杂的场景时，提示可能会非常长并且包含涉及许多细节。**使用提示模版，可以让我们更为方便地重复使用设计好的提示**。"]},{"cell_type":"markdown","metadata":{},"source":["下面给出了一个比较长的提示模版案例。学生们线上学习并提交作业，通过以下的提示来实现对学生的提交的作业的评分。"]},{"cell_type":"code","execution_count":35,"metadata":{},"outputs":[],"source":["# 英文版\n","prompt = \"\"\" Your task is to determine if the student's solution is correct or not\n","\n","    To solve the problem do the following:\n","    - First, workout your own solution to the problem\n","    - Then compare your solution to the student's solution \n","    and evaluate if the sudtent's solution is correct or not.\n","    ...\n","    Use the following format:\n","    Question:\n","    ```\n","    question here\n","    ```\n","    Student's solution:\n","    ```\n","    student's solution here\n","    ```\n","    Actual solution:\n","    ```\n","    ...\n","    steps to work out the solution and your solution here\n","    ```\n","    Is the student's solution the same as acutal solution \\\n","    just calculated:\n","    ```\n","    yes or no\n","    ```\n","    Student grade\n","    ```\n","    correct or incorrect\n","    ```\n","    \n","    Question:\n","    ```\n","    {question}\n","    ```\n","    Student's solution:\n","    ```\n","    {student's solution}\n","    ```\n","    Actual solution:\n","    \n","    \"\"\""]},{"cell_type":"code","execution_count":36,"metadata":{},"outputs":[],"source":["# 中文版\n","prompt = \"\"\" 你的任务是判断学生的解决方案是正确的还是不正确的\n","\n","要解决该问题，请执行以下操作：\n"," - 首先，制定自己的问题解决方案\n"," - 然后将您的解决方案与学生的解决方案进行比较\n"," 并评估学生的解决方案是否正确。\n","...\n","使用下面的格式:\n","\n","问题:\n","```\n","问题文本\n","```\n","学生的解决方案:\n","```\n","学生的解决方案文本\n","```\n","实际解决方案:\n","```\n","...\n","制定解决方案的步骤以及您的解决方案请参见此处\n","```\n","学生的解决方案和实际解决方案是否相同 \\\n","只计算：\n","```\n","是或者不是\n","```\n","学生的成绩\n","```\n","正确或者不正确\n","```\n","\n","问题:\n","```\n","{question}\n","```\n","学生的解决方案:\n","```\n","{student's solution}\n","```\n","实际解决方案:\n","\n","\"\"\""]},{"cell_type":"markdown","metadata":{"jp-MarkdownHeadingCollapsed":true,"tags":[]},"source":["此外，LangChain还提供了提示模版用于一些常用场景。比如自动摘要、问答、连接到SQL数据库、连接到不同的API. 通过使用LangChain内置的提示模版，你可以快速建立自己的大模型应用，而不需要花时间去设计和构造提示。\n","\n","最后，我们在建立大模型应用时，通常希望模型的输出为给定的格式，比如在输出使用特定的关键词来让输出结构化。 下面为一个使用大模型进行链式思考推理例子，对于问题：*What is the elevation range for the area that the eastern sector of the Colorado orogeny extends into?*\n","\n","通过使用LangChain库函数，输出采用\"Thought\"（思考）、\"Action\"（行动）、\"Observation\"（观察）作为链式思考推理的关键词，让输出结构化。\n","\n","```\n","Thought: I need to search Colorado orogeny, find the area that the eastern sector of the Colorado orogeny extends into, then find the elevation range of the area.\n","Action: Search[Colorado orogeny]\n","Observation: The Colorado orogeny was an episode of mountain building (an orogeny) in Colorado and surrounding areas.\n","\n","Thought: It does not mention the eastern sector. So I need to look up eastern sector.\n","Action: Lookup[eastern sector]\n","Observation: (Result 1 / 1) The eastern sector extends into the High Plains and is called the Central Plains orogeny.\n","\n","Thought: The eastern sector of Colorado orogeny extends into the High Plains. So I need to search High Plains and find its elevation range.\n","Action: Search[High Plains]\n","Observation: High Plains refers to one of two distinct land regions\n","\n","Thought: I need to instead search High Plains (United States).\n","Action: Search[High Plains (United States)]\n","Observation: The High Plains are a subregion of the Great Plains. From east to west, the High Plains rise in elevation from around 1,800 to 7,000 ft (550 to 2,130 m).[3]\n","\n","Thought: High Plains rise in elevation from around 1,800 to 7,000 ft, so the answer is 1,800 to 7,000 ft.\n","Action: Finish[1,800 to 7,000 ft]\n","```"]},{"cell_type":"markdown","metadata":{},"source":["在补充材料中，可以查看使用LangChain和OpenAI进行链式思考推理的另一个代码实例。"]},{"cell_type":"markdown","metadata":{},"source":["### 3.3 输出解析器"]},{"cell_type":"markdown","metadata":{},"source":["#### 3.3.1 如果没有输出解析器\n","\n","对于给定的评价`customer_review`, 我们希望提取信息，并按以下格式输出：\n","\n","```python\n","{\n","  \"gift\": False,\n","  \"delivery_days\": 5,\n","  \"price_value\": \"pretty affordable!\"\n","}\n","```"]},{"cell_type":"code","execution_count":37,"metadata":{},"outputs":[],"source":["customer_review = \"\"\"\\\n","This leaf blower is pretty amazing.  It has four settings:\\\n","candle blower, gentle breeze, windy city, and tornado. \\\n","It arrived in two days, just in time for my wife's \\\n","anniversary present. \\\n","I think my wife liked it so much she was speechless. \\\n","So far I've been the only one using it, and I've been \\\n","using it every other morning to clear the leaves on our lawn. \\\n","It's slightly more expensive than the other leaf blowers \\\n","out there, but I think it's worth it for the extra features.\n","\"\"\""]},{"cell_type":"markdown","metadata":{},"source":["##### 1️⃣ 构造提示模版字符串"]},{"cell_type":"code","execution_count":38,"metadata":{},"outputs":[],"source":["review_template = \"\"\"\\\n","For the following text, extract the following information:\n","\n","gift: Was the item purchased as a gift for someone else? \\\n","Answer True if yes, False if not or unknown.\n","\n","delivery_days: How many days did it take for the product \\\n","to arrive? If this information is not found, output -1.\n","\n","price_value: Extract any sentences about the value or price,\\\n","and output them as a comma separated Python list.\n","\n","Format the output as JSON with the following keys:\n","gift\n","delivery_days\n","price_value\n","\n","text: {text}\n","\"\"\""]},{"cell_type":"markdown","metadata":{},"source":["##### 2️⃣ 构造langchain提示模版"]},{"cell_type":"code","execution_count":39,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["input_variables=['text'] messages=[HumanMessagePromptTemplate(prompt=PromptTemplate(input_variables=['text'], template='For the following text, extract the following information:\\n\\ngift: Was the item purchased as a gift for someone else? Answer True if yes, False if not or unknown.\\n\\ndelivery_days: How many days did it take for the product to arrive? If this information is not found, output -1.\\n\\nprice_value: Extract any sentences about the value or price,and output them as a comma separated Python list.\\n\\nFormat the output as JSON with the following keys:\\ngift\\ndelivery_days\\nprice_value\\n\\ntext: {text}\\n'))]\n"]}],"source":["from langchain.prompts import ChatPromptTemplate\n","prompt_template = ChatPromptTemplate.from_template(review_template)\n","print(prompt_template)"]},{"cell_type":"markdown","metadata":{},"source":["##### 3️⃣ 使用模版得到提示消息"]},{"cell_type":"code","execution_count":40,"metadata":{},"outputs":[],"source":["messages = prompt_template.format_messages(text=customer_review)"]},{"cell_type":"markdown","metadata":{},"source":["##### 4️⃣ 调用chat模型提取信息"]},{"cell_type":"code","execution_count":41,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["{\n","    \"gift\": true,\n","    \"delivery_days\": 2,\n","    \"price_value\": [\"It's slightly more expensive than the other leaf blowers out there\"]\n","}\n"]}],"source":["chat = ChatOpenAI(temperature=0.0)\n","response = chat(messages)\n","print(response.content)"]},{"cell_type":"markdown","metadata":{},"source":["##### 📝 分析与总结\n","`response.content`类型为字符串（`str`），而并非字典(`dict`), 直接使用`get`方法会报错。因此，我们需要输出解释器。"]},{"cell_type":"code","execution_count":42,"metadata":{},"outputs":[{"data":{"text/plain":["str"]},"execution_count":42,"metadata":{},"output_type":"execute_result"}],"source":["type(response.content)"]},{"cell_type":"code","execution_count":43,"metadata":{},"outputs":[{"ename":"AttributeError","evalue":"'str' object has no attribute 'get'","output_type":"error","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)","Cell \u001b[0;32mIn[43], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mresponse\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcontent\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mgift\u001b[39m\u001b[38;5;124m'\u001b[39m)\n","\u001b[0;31mAttributeError\u001b[0m: 'str' object has no attribute 'get'"]}],"source":["response.content.get('gift')"]},{"cell_type":"markdown","metadata":{},"source":["#### 3.3.2 中文版"]},{"cell_type":"code","execution_count":44,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["input_variables=['text'] messages=[HumanMessagePromptTemplate(prompt=PromptTemplate(input_variables=['text'], template='对于以下文本，请从中提取以下信息：\\n\\n礼物：该商品是作为礼物送给别人的吗？ 如果是，则回答 是的；如果否或未知，则回答 不是。\\n\\n交货天数：产品需要多少天到达？ 如果没有找到该信息，则输出-1。\\n\\n价钱：提取有关价值或价格的任何句子，并将它们输出为逗号分隔的 Python 列表。\\n\\n使用以下键将输出格式化为 JSON：\\n礼物\\n交货天数\\n价钱\\n\\n文本: {text}\\n'))]\n"]}],"source":["from langchain.prompts import ChatPromptTemplate\n","\n","customer_review = \"\"\"\\\n","这款吹叶机非常神奇。 它有四个设置：\\\n","吹蜡烛、微风、风城、龙卷风。 \\\n","两天后就到了，正好赶上我妻子的\\\n","周年纪念礼物。 \\\n","我想我的妻子会喜欢它到说不出话来。 \\\n","到目前为止，我是唯一一个使用它的人，而且我一直\\\n","每隔一天早上用它来清理草坪上的叶子。 \\\n","它比其他吹叶机稍微贵一点，\\\n","但我认为它的额外功能是值得的。\n","\"\"\"\n","\n","review_template = \"\"\"\\\n","对于以下文本，请从中提取以下信息：\n","\n","礼物：该商品是作为礼物送给别人的吗？ \\\n","如果是，则回答 是的；如果否或未知，则回答 不是。\n","\n","交货天数：产品需要多少天\\\n","到达？ 如果没有找到该信息，则输出-1。\n","\n","价钱：提取有关价值或价格的任何句子，\\\n","并将它们输出为逗号分隔的 Python 列表。\n","\n","使用以下键将输出格式化为 JSON：\n","礼物\n","交货天数\n","价钱\n","\n","文本: {text}\n","\"\"\"\n","\n","prompt_template = ChatPromptTemplate.from_template(review_template)\n","print(prompt_template)\n"]},{"cell_type":"code","execution_count":45,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["{\n","    \"礼物\": \"是的\",\n","    \"交货天数\": 2,\n","    \"价钱\": [\"它比其他吹叶机稍微贵一点\"]\n","}\n"]}],"source":["messages = prompt_template.format_messages(text=customer_review)\n","\n","chat = ChatOpenAI(temperature=0.0)\n","response = chat(messages)\n","print(response.content)"]},{"cell_type":"markdown","metadata":{},"source":["#### 3.3.3 LangChain输出解析器"]},{"cell_type":"markdown","metadata":{},"source":["##### 1️⃣ 构造提示模版字符串"]},{"cell_type":"code","execution_count":46,"metadata":{},"outputs":[],"source":["review_template_2 = \"\"\"\\\n","For the following text, extract the following information:\n","\n","gift: Was the item purchased as a gift for someone else? \\\n","Answer True if yes, False if not or unknown.\n","\n","delivery_days: How many days did it take for the product\\\n","to arrive? If this information is not found, output -1.\n","\n","price_value: Extract any sentences about the value or price,\\\n","and output them as a comma separated Python list.\n","\n","text: {text}\n","\n","{format_instructions}\n","\"\"\""]},{"cell_type":"markdown","metadata":{},"source":["##### 2️⃣ 构造langchain提示模版"]},{"cell_type":"code","execution_count":47,"metadata":{},"outputs":[],"source":["prompt = ChatPromptTemplate.from_template(template=review_template_2)"]},{"cell_type":"markdown","metadata":{},"source":["##### 🔥 构造输出解析器"]},{"cell_type":"code","execution_count":48,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["The output should be a markdown code snippet formatted in the following schema, including the leading and trailing \"```json\" and \"```\":\n","\n","```json\n","{\n","\t\"gift\": string  // Was the item purchased                             as a gift for someone else?                              Answer True if yes,                             False if not or unknown.\n","\t\"delivery_days\": string  // How many days                                      did it take for the product                                      to arrive? If this                                       information is not found,                                      output -1.\n","\t\"price_value\": string  // Extract any                                    sentences about the value or                                     price, and output them as a                                     comma separated Python list.\n","}\n","```\n"]}],"source":["from langchain.output_parsers import ResponseSchema\n","from langchain.output_parsers import StructuredOutputParser\n","\n","gift_schema = ResponseSchema(name=\"gift\",\n","                             description=\"Was the item purchased\\\n","                             as a gift for someone else? \\\n","                             Answer True if yes,\\\n","                             False if not or unknown.\")\n","\n","delivery_days_schema = ResponseSchema(name=\"delivery_days\",\n","                                      description=\"How many days\\\n","                                      did it take for the product\\\n","                                      to arrive? If this \\\n","                                      information is not found,\\\n","                                      output -1.\")\n","\n","price_value_schema = ResponseSchema(name=\"price_value\",\n","                                    description=\"Extract any\\\n","                                    sentences about the value or \\\n","                                    price, and output them as a \\\n","                                    comma separated Python list.\")\n","\n","\n","response_schemas = [gift_schema, \n","                    delivery_days_schema,\n","                    price_value_schema]\n","output_parser = StructuredOutputParser.from_response_schemas(response_schemas)\n","format_instructions = output_parser.get_format_instructions()\n","print(format_instructions)"]},{"cell_type":"markdown","metadata":{},"source":["##### 3️⃣ 使用模版得到提示消息"]},{"cell_type":"code","execution_count":49,"metadata":{},"outputs":[],"source":["messages = prompt.format_messages(text=customer_review, format_instructions=format_instructions)"]},{"cell_type":"code","execution_count":50,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["For the following text, extract the following information:\n","\n","gift: Was the item purchased as a gift for someone else? Answer True if yes, False if not or unknown.\n","\n","delivery_days: How many days did it take for the productto arrive? If this information is not found, output -1.\n","\n","price_value: Extract any sentences about the value or price,and output them as a comma separated Python list.\n","\n","text: 这款吹叶机非常神奇。 它有四个设置：吹蜡烛、微风、风城、龙卷风。 两天后就到了，正好赶上我妻子的周年纪念礼物。 我想我的妻子会喜欢它到说不出话来。 到目前为止，我是唯一一个使用它的人，而且我一直每隔一天早上用它来清理草坪上的叶子。 它比其他吹叶机稍微贵一点，但我认为它的额外功能是值得的。\n","\n","\n","The output should be a markdown code snippet formatted in the following schema, including the leading and trailing \"```json\" and \"```\":\n","\n","```json\n","{\n","\t\"gift\": string  // Was the item purchased                             as a gift for someone else?                              Answer True if yes,                             False if not or unknown.\n","\t\"delivery_days\": string  // How many days                                      did it take for the product                                      to arrive? If this                                       information is not found,                                      output -1.\n","\t\"price_value\": string  // Extract any                                    sentences about the value or                                     price, and output them as a                                     comma separated Python list.\n","}\n","```\n","\n"]}],"source":["print(messages[0].content)"]},{"cell_type":"markdown","metadata":{},"source":["##### 4️⃣ 调用chat模型提取信息"]},{"cell_type":"code","execution_count":51,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["```json\n","{\n","\t\"gift\": true,\n","\t\"delivery_days\": 2,\n","\t\"price_value\": \"它比其他吹叶机稍微贵一点\"\n","}\n","```\n"]}],"source":["response = chat(messages)\n","print(response.content)"]},{"cell_type":"markdown","metadata":{},"source":["##### 5️⃣ 使用输出解析器解析输出"]},{"cell_type":"code","execution_count":52,"metadata":{},"outputs":[{"data":{"text/plain":["{'gift': True, 'delivery_days': 2, 'price_value': '它比其他吹叶机稍微贵一点'}"]},"execution_count":52,"metadata":{},"output_type":"execute_result"}],"source":["output_dict = output_parser.parse(response.content)\n","output_dict"]},{"cell_type":"markdown","metadata":{},"source":["##### 📝 分析与总结\n","`output_dict`类型为字典(`dict`), 可直接使用`get`方法。这样的输出更方便下游任务的处理。"]},{"cell_type":"code","execution_count":53,"metadata":{},"outputs":[{"data":{"text/plain":["dict"]},"execution_count":53,"metadata":{},"output_type":"execute_result"}],"source":["type(output_dict)"]},{"cell_type":"code","execution_count":54,"metadata":{},"outputs":[{"data":{"text/plain":["2"]},"execution_count":54,"metadata":{},"output_type":"execute_result"}],"source":["output_dict.get('delivery_days')"]},{"cell_type":"markdown","metadata":{},"source":["#### 3.3.4 中文版"]},{"cell_type":"code","execution_count":55,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["The output should be a markdown code snippet formatted in the following schema, including the leading and trailing \"```json\" and \"```\":\n","\n","```json\n","{\n","\t\"礼物\": string  // 这件物品是作为礼物送给别人的吗？                            如果是，则回答 是的，                            如果否或未知，则回答 不是。\n","\t\"交货天数\": string  // 产品需要多少天才能到达？                                      如果没有找到该信息，则输出-1。\n","\t\"价钱\": string  // 提取有关价值或价格的任何句子，                                    并将它们输出为逗号分隔的 Python 列表\n","}\n","```\n"]}],"source":["# 中文\n","review_template_2 = \"\"\"\\\n","对于以下文本，请从中提取以下信息：：\n","\n","礼物：该商品是作为礼物送给别人的吗？\n","如果是，则回答 是的；如果否或未知，则回答 不是。\n","\n","交货天数：产品到达需要多少天？ 如果没有找到该信息，则输出-1。\n","\n","价钱：提取有关价值或价格的任何句子，并将它们输出为逗号分隔的 Python 列表。\n","\n","文本: {text}\n","\n","{format_instructions}\n","\"\"\"\n","\n","from langchain.output_parsers import ResponseSchema\n","from langchain.output_parsers import StructuredOutputParser\n","\n","gift_schema = ResponseSchema(name=\"礼物\",\n","                             description=\"这件物品是作为礼物送给别人的吗？\\\n","                            如果是，则回答 是的，\\\n","                            如果否或未知，则回答 不是。\")\n","\n","delivery_days_schema = ResponseSchema(name=\"交货天数\",\n","                                      description=\"产品需要多少天才能到达？\\\n","                                      如果没有找到该信息，则输出-1。\")\n","\n","price_value_schema = ResponseSchema(name=\"价钱\",\n","                                    description=\"提取有关价值或价格的任何句子，\\\n","                                    并将它们输出为逗号分隔的 Python 列表\")\n","\n","\n","response_schemas = [gift_schema, \n","                    delivery_days_schema,\n","                    price_value_schema]\n","output_parser = StructuredOutputParser.from_response_schemas(response_schemas)\n","format_instructions = output_parser.get_format_instructions()\n","print(format_instructions)"]},{"cell_type":"code","execution_count":56,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["For the following text, extract the following information:\n","\n","gift: Was the item purchased as a gift for someone else? Answer True if yes, False if not or unknown.\n","\n","delivery_days: How many days did it take for the productto arrive? If this information is not found, output -1.\n","\n","price_value: Extract any sentences about the value or price,and output them as a comma separated Python list.\n","\n","text: 这款吹叶机非常神奇。 它有四个设置：吹蜡烛、微风、风城、龙卷风。 两天后就到了，正好赶上我妻子的周年纪念礼物。 我想我的妻子会喜欢它到说不出话来。 到目前为止，我是唯一一个使用它的人，而且我一直每隔一天早上用它来清理草坪上的叶子。 它比其他吹叶机稍微贵一点，但我认为它的额外功能是值得的。\n","\n","\n","The output should be a markdown code snippet formatted in the following schema, including the leading and trailing \"```json\" and \"```\":\n","\n","```json\n","{\n","\t\"礼物\": string  // 这件物品是作为礼物送给别人的吗？                            如果是，则回答 是的，                            如果否或未知，则回答 不是。\n","\t\"交货天数\": string  // 产品需要多少天才能到达？                                      如果没有找到该信息，则输出-1。\n","\t\"价钱\": string  // 提取有关价值或价格的任何句子，                                    并将它们输出为逗号分隔的 Python 列表\n","}\n","```\n","\n"]}],"source":["messages = prompt.format_messages(text=customer_review, format_instructions=format_instructions)\n","print(messages[0].content)"]},{"cell_type":"code","execution_count":57,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["```json\n","{\n","\t\"礼物\": \"是的\",\n","\t\"交货天数\": \"两天\",\n","\t\"价钱\": \"它比其他吹叶机稍微贵一点\"\n","}\n","```\n"]}],"source":["response = chat(messages)\n","print(response.content)\n"]},{"cell_type":"code","execution_count":58,"metadata":{},"outputs":[{"data":{"text/plain":["{'礼物': '是的', '交货天数': '两天', '价钱': '它比其他吹叶机稍微贵一点'}"]},"execution_count":58,"metadata":{},"output_type":"execute_result"}],"source":["output_dict = output_parser.parse(response.content)\n","output_dict"]},{"cell_type":"markdown","metadata":{},"source":["## 四、补充材料"]},{"cell_type":"markdown","metadata":{},"source":["### 4.1 链式思考推理(ReAct)\n","参考资料：[ReAct (Reason+Act) prompting in OpenAI GPT and LangChain](https://tsmatz.wordpress.com/2023/03/07/react-with-openai-gpt-and-langchain/)"]},{"cell_type":"code","execution_count":59,"metadata":{},"outputs":[{"name":"stderr","output_type":"stream","text":["/Users/lta/anaconda3/envs/cookbook/lib/python3.10/site-packages/langchain_core/_api/deprecation.py:119: LangChainDeprecationWarning: The class `DocstoreExplorer` was deprecated in LangChain 0.1.0 and will be removed in 0.3.0\n","  warn_deprecated(\n","/Users/lta/anaconda3/envs/cookbook/lib/python3.10/site-packages/langchain_core/_api/deprecation.py:119: LangChainDeprecationWarning: The function `initialize_agent` was deprecated in LangChain 0.1.0 and will be removed in 0.3.0. Use Use new agent constructor methods like create_react_agent, create_json_agent, create_structured_chat_agent, etc. instead.\n","  warn_deprecated(\n","/Users/lta/anaconda3/envs/cookbook/lib/python3.10/site-packages/langchain_core/_api/deprecation.py:119: LangChainDeprecationWarning: The method `Chain.run` was deprecated in langchain 0.1.0 and will be removed in 0.3.0. Use invoke instead.\n","  warn_deprecated(\n"]},{"name":"stdout","output_type":"stream","text":["\n","\n","\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n","\u001b[32;1m\u001b[1;3mThought: I need to search David Chanoff, find the U.S. Navy admiral he collaborated with, and then find out which President the admiral served as the ambassador to the United Kingdom under.\n","Action: Search[David Chanoff]\u001b[0m\n","Observation: \u001b[36;1m\u001b[1;3mDavid Chanoff is a noted author of non-fiction work. His work has typically involved collaborations with the principal protagonist of the work concerned. His collaborators have included; Augustus A. White, Joycelyn Elders, Đoàn Văn Toại, William J. Crowe, Ariel Sharon, Kenneth Good and Felix Zandman. He has also written about a wide range of subjects including literary history, education and foreign for The Washington Post, The New Republic and The New York Times Magazine. He has published more than twelve books.\u001b[0m\n","Thought:\u001b[32;1m\u001b[1;3mDavid Chanoff has collaborated with U.S. Navy admiral William J. Crowe. I need to search William J. Crowe and find out which President he served as the ambassador to the United Kingdom under.\n","Action: Search[William J. Crowe]\u001b[0m\n","Observation: \u001b[36;1m\u001b[1;3mWilliam James Crowe Jr. (January 2, 1925 – October 18, 2007) was a United States Navy admiral and diplomat who served as the 11th chairman of the Joint Chiefs of Staff under Presidents Ronald Reagan and George H. W. Bush, and as the ambassador to the United Kingdom and Chair of the Intelligence Oversight Board under President Bill Clinton.\u001b[0m\n","Thought:\u001b[32;1m\u001b[1;3mWilliam J. Crowe served as the ambassador to the United Kingdom under President Bill Clinton. So the answer is Bill Clinton. \n","Action: Finish[Bill Clinton]\u001b[0m\n","\n","\u001b[1m> Finished chain.\u001b[0m\n"]},{"data":{"text/plain":["'Bill Clinton'"]},"execution_count":59,"metadata":{},"output_type":"execute_result"}],"source":["from langchain.docstore.wikipedia import Wikipedia\n","from langchain_community.chat_models import ChatOpenAI\n","from langchain.agents import initialize_agent, Tool, AgentExecutor\n","from langchain.agents.react.base import DocstoreExplorer\n","\n","docstore=DocstoreExplorer(Wikipedia())\n","tools = [\n","  Tool(\n","    name=\"Search\",\n","    func=docstore.search,\n","    description=\"Search for a term in the docstore.\",\n","  ),\n","  Tool(\n","    name=\"Lookup\",\n","    func=docstore.lookup,\n","    description=\"Lookup a term in the docstore.\",\n","  )\n","]\n","\n","# 使用大语言模型\n","llm = ChatOpenAI(\n","  model_name=\"gpt-3.5-turbo\",\n","  temperature=0,\n",")\n","\n","# 初始化ReAct代理\n","react = initialize_agent(tools, llm, agent=\"react-docstore\", verbose=True)\n","agent_executor = AgentExecutor.from_agent_and_tools(\n","  agent=react.agent,\n","  tools=tools,\n","  verbose=True,\n",")\n","\n","\n","question = \"Author David Chanoff has collaborated with a U.S. Navy admiral who served as the ambassador to the United Kingdom under which President?\"\n","agent_executor.run(question)"]}],"metadata":{"kernelspec":{"display_name":"Python 3 (ipykernel)","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.1.-1"}},"nbformat":4,"nbformat_minor":4}
+{"cells":[{"cell_type":"markdown","metadata":{},"source":["# 第二章 模型，提示和输出解释器\n","\n"," - [一、设置OpenAI API Key](#一、设置OpenAI-API-Key)\n"," - [二、直接使用OpenAI](#二、直接使用OpenAI)\n","     - [2.1 计算1+1](#2.1-计算1+1)\n","     - [2.2 用美式英语表达海盗邮件](#2.2-用美式英语表达海盗邮件)\n","     - [2.3 中文版](#2.3-中文版)\n"," - [三、通过LangChain使用OpenAI](#三、通过LangChain使用OpenAI)\n","     - [3.1 模型](#3.1-模型)\n","     - [3.2 提示模板](#3.2-提示模板)\n","         - [3.2.1 使用LangChain提示模版](#3.2.1-使用LangChain提示模版)\n","         - [3.2.2 中文版](#3.2.2-中文版)\n","         - [3.2.2 为什么需要提示模版](#3.2.2-为什么需要提示模版)\n","     - [3.3 输出解析器](#3.3-输出解析器)\n","         - [3.3.1 如果没有输出解析器](#3.3.1-如果没有输出解析器)\n","         - [3.3.2 中文版](#3.3.2-中文版)\n","         - [3.3.3 LangChain输出解析器](#3.3.3-LangChain输出解析器)\n","         - [3.3.4 中文版](#3.3.4-中文版)\n"," - [四、补充材料](#四、补充材料)\n","     - [4.1 链式思考推理(ReAct)](#4.1-链式思考推理(ReAct))\n"]},{"cell_type":"markdown","metadata":{"tags":[]},"source":["## 一、设置OpenAI API Key\n","\n","登陆 [OpenAI 账户](https://platform.openai.com/account/api-keys) 获取API Key，然后将其设置为环境变量。\n","\n","- 如果你想要设置为全局环境变量，可以参考[知乎文章](https://zhuanlan.zhihu.com/p/627665725)。\n","- 如果你想要设置为本地/项目环境变量，在本文件目录下创建`.env`文件, 打开文件输入以下内容。\n","\n","    <p style=\"font-family:verdana; font-size:12px;color:green\">\n","    OPENAI_API_KEY=\"your_api_key\" \n","    </p>\n","  \n","  替换\"your_api_key\"为你自己的 API Key"]},{"cell_type":"code","execution_count":1,"metadata":{},"outputs":[],"source":["# 下载需要的包python-dotenv和openai\n","# 如果你需要查看安装过程日志，可删除 -q \n","!pip install -q python-dotenv\n","!pip install -q openai"]},{"cell_type":"code","execution_count":2,"metadata":{"tags":[]},"outputs":[],"source":["import os\n","import openai\n","from dotenv import load_dotenv, find_dotenv\n","\n","# 读取本地/项目的环境变量。\n","\n","# find_dotenv()寻找并定位.env文件的路径\n","# load_dotenv()读取该.env文件，并将其中的环境变量加载到当前的运行环境中  \n","# 如果你设置的是全局的环境变量，这行代码则没有任何作用。\n","_ = load_dotenv(find_dotenv())\n","\n","# 获取环境变量 OPENAI_API_KEY\n","openai.api_key = os.environ['OPENAI_API_KEY']  "]},{"cell_type":"markdown","metadata":{"tags":[]},"source":["## 二、直接使用OpenAI\n","\n","我们先从直接调用OpenAI的API开始。\n","\n","`get_completion`函数是基于`openai`的封装函数，对于给定提示（prompt）输出相应的回答。其包含两个参数\n","   \n","   - `prompt` 必需输入参数。 你给模型的**提示，可以是一个问题，可以是你需要模型帮助你做的事**（改变文本写作风格，翻译，回复消息等等）。\n","   - `model` 非必需输入参数。默认使用gpt-3.5-turbo。你也可以选择其他模型。\n","   \n","这里的提示对应我们给chatgpt的问题，函数给出的输出则对应chatpgt给我们的答案。"]},{"cell_type":"code","execution_count":3,"metadata":{"tags":[]},"outputs":[],"source":["def get_completion(prompt, model=\"gpt-3.5-turbo\"):\n","    \n","    messages = [{\"role\": \"user\", \"content\": prompt}]\n","    \n","    response = openai.ChatCompletion.create(\n","        model=model,\n","        messages=messages,\n","        temperature=0, \n","    )\n","    return response.choices[0].message[\"content\"]"]},{"cell_type":"markdown","metadata":{"tags":[]},"source":["### 2.1 计算1+1\n","\n","我们来一个简单的例子 - 分别用中英文问问模型\n","\n","- 中文提示(Prompt in Chinese)： `1+1是什么？`\n","- 英文提示(Prompt in English)： `What is 1+1?`"]},{"cell_type":"code","execution_count":4,"metadata":{},"outputs":[{"data":{"text/plain":["'1+1等于2。'"]},"execution_count":4,"metadata":{},"output_type":"execute_result"}],"source":["# 中文\n","get_completion(\"1+1是什么？\")"]},{"cell_type":"code","execution_count":5,"metadata":{"tags":[]},"outputs":[{"data":{"text/plain":["'1+1 equals 2.'"]},"execution_count":5,"metadata":{},"output_type":"execute_result"}],"source":["# 英文\n","get_completion(\"What is 1+1?\")"]},{"cell_type":"markdown","metadata":{"tags":[]},"source":["### 2.2 用美式英语表达海盗邮件\n","\n","上面的简单例子，模型`gpt-3.5-turbo`对我们的关于1+1是什么的提问给出了回答。\n","\n","现在我们来看一个复杂一点的例子： \n","\n","假设我们是电商公司员工，我们的顾客是一名海盗A，他在我们的网站上买了一个榨汁机用来做奶昔，在制作奶昔的过程中，奶昔的盖子飞了出去，弄得厨房墙上到处都是。于是海盗A给我们的客服中心写来以下邮件：`customer_email`"]},{"cell_type":"code","execution_count":6,"metadata":{"tags":[]},"outputs":[],"source":["customer_email = \"\"\"\n","Arrr, I be fuming that me blender lid \\\n","flew off and splattered me kitchen walls \\\n","with smoothie! And to make matters worse,\\\n","the warranty don't cover the cost of \\\n","cleaning up me kitchen. I need yer help \\\n","right now, matey!\n","\"\"\""]},{"cell_type":"markdown","metadata":{},"source":["我们的客服人员对于海盗的措辞表达觉得有点难以理解。 现在我们想要实现两个小目标：\n","\n","- 让模型用美式英语的表达方式将海盗的邮件进行翻译，客服人员可以更好理解。*这里海盗的英文表达可以理解为英文的方言，其与美式英语的关系，就如四川话与普通话的关系。\n","- 让模型在翻译是用平和尊重的语气进行表达，客服人员的心情也会更好。\n","\n","根据这两个小目标，定义一下文本表达风格：`style`"]},{"cell_type":"code","execution_count":7,"metadata":{"tags":[]},"outputs":[],"source":["# 美式英语 + 平静、尊敬的语调\n","style = \"\"\"American English \\\n","in a calm and respectful tone\n","\"\"\""]},{"cell_type":"markdown","metadata":{},"source":["下一步需要做的是将`customer_email`和`style`结合起来构造我们的提示:`prompt`"]},{"cell_type":"code","execution_count":8,"metadata":{},"outputs":[],"source":["# 非正式用语\n","customer_email = \"\"\"   \n","阿，我很生气，\\\n","因为我的搅拌机盖掉了，\\\n","把奶昔溅到了厨房的墙上！\\\n","更糟糕的是，保修不包括打扫厨房的费用。\\\n","我现在需要你的帮助，伙计！\n","\"\"\""]},{"cell_type":"code","execution_count":9,"metadata":{"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["Translate the text that is delimited by triple backticks \n","into a style that is American English in a calm and respectful tone\n",".\n","text: ```   \n","阿，我很生气，因为我的搅拌机盖掉了，把奶昔溅到了厨房的墙上！更糟糕的是，保修不包括打扫厨房的费用。我现在需要你的帮助，伙计！\n","```\n","\n"]}],"source":["# 要求模型根据给出的语调进行转化\n","prompt = f\"\"\"Translate the text \\\n","that is delimited by triple backticks \n","into a style that is {style}.\n","text: ```{customer_email}```\n","\"\"\"\n","\n","print(prompt)"]},{"cell_type":"markdown","metadata":{},"source":["`prompt` 构造好了，我们可以调用`get_completion`得到我们想要的结果 - 用平和尊重的语气，美式英语表达的海盗语言邮件"]},{"cell_type":"code","execution_count":10,"metadata":{},"outputs":[],"source":["response = get_completion(prompt)"]},{"cell_type":"code","execution_count":11,"metadata":{"tags":[]},"outputs":[{"data":{"text/plain":["\"Oh, I'm really frustrated because the lid of my blender fell off and splattered the milkshake all over the kitchen wall! To make matters worse, the warranty doesn't cover the cost of cleaning the kitchen. I could really use your help right now, buddy!\""]},"execution_count":11,"metadata":{},"output_type":"execute_result"}],"source":["response"]},{"cell_type":"markdown","metadata":{},"source":["对比语言风格转换前后，用词更为正式，替换了极端情绪的表达，并表达了感谢。\n","\n","✨ 你可以尝试修改提示，看可以得到什么不一样的结果😉"]},{"cell_type":"markdown","metadata":{"tags":[]},"source":["### 2.3 中文版"]},{"cell_type":"code","execution_count":12,"metadata":{},"outputs":[],"source":["# 普通话 + 平静、尊敬的语调\n","style = \"\"\"正式普通话 \\\n","用一个平静、尊敬的语调\n","\"\"\""]},{"cell_type":"code","execution_count":13,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["把由三个反引号分隔的文本翻译成一种正式普通话 用一个平静、尊敬的语调\n","风格。\n","文本: ```   \n","阿，我很生气，因为我的搅拌机盖掉了，把奶昔溅到了厨房的墙上！更糟糕的是，保修不包括打扫厨房的费用。我现在需要你的帮助，伙计！\n","```\n","\n"]}],"source":["# 要求模型根据给出的语调进行转化\n","prompt = f\"\"\"把由三个反引号分隔的文本\\\n","翻译成一种{style}风格。\n","文本: ```{customer_email}```\n","\"\"\"\n","\n","print(prompt)\n","\n"]},{"cell_type":"code","execution_count":14,"metadata":{},"outputs":[{"data":{"text/plain":["'尊敬的朋友们，我感到非常不安，因为我的搅拌机盖子不慎掉落，导致奶昔溅到了厨房的墙壁上！更加令人糟心的是，保修服务并不包含厨房清洁的费用。此刻，我真诚地请求各位的帮助，朋友们！'"]},"execution_count":14,"metadata":{},"output_type":"execute_result"}],"source":["response = get_completion(prompt)\n","\n","response"]},{"cell_type":"markdown","metadata":{"tags":[]},"source":["## 三、通过LangChain使用OpenAI\n","\n","在前面一部分，我们通过封装函数`get_completion`直接调用了OpenAI完成了对方言邮件进行了的翻译，得到用平和尊重的语气、正式的普通话表达的邮件。\n","\n","让我们尝试使用LangChain来实现相同的功能。"]},{"cell_type":"code","execution_count":15,"metadata":{"tags":[]},"outputs":[],"source":["# 如果你需要查看安装过程日志，可删除 -q \n","# --upgrade 让我们可以安装到最新版本的 langchain\n","!pip install -q --upgrade langchain"]},{"cell_type":"markdown","metadata":{"tags":[]},"source":["### 3.1 模型\n","\n","从`langchain.chat_models`导入`OpenAI`的对话模型`ChatOpenAI`。 除去OpenAI以外，`langchain.chat_models`还集成了其他对话模型，更多细节可以查看[Langchain官方文档](https://python.langchain.com/en/latest/modules/models/chat/integrations.html)。"]},{"cell_type":"code","execution_count":16,"metadata":{"tags":[]},"outputs":[],"source":["from langchain.chat_models import ChatOpenAI"]},{"cell_type":"code","execution_count":17,"metadata":{"tags":[]},"outputs":[{"data":{"text/plain":["ChatOpenAI(cache=None, verbose=False, callbacks=None, callback_manager=None, tags=None, metadata=None, client=<class 'openai.api_resources.chat_completion.ChatCompletion'>, model_name='gpt-3.5-turbo', temperature=0.0, model_kwargs={}, openai_api_key='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', openai_api_base='', openai_organization='', openai_proxy='', request_timeout=None, max_retries=6, streaming=False, n=1, max_tokens=None, tiktoken_model_name=None)"]},"execution_count":17,"metadata":{},"output_type":"execute_result"}],"source":["# 这里我们将参数temperature设置为0.0，从而减少生成答案的随机性。\n","# 如果你想要每次得到不一样的有新意的答案，可以尝试调整该参数。\n","chat = ChatOpenAI(temperature=0.0)\n","chat"]},{"cell_type":"markdown","metadata":{},"source":["上面的输出显示ChatOpenAI的默认模型为`gpt-3.5-turbo`"]},{"cell_type":"markdown","metadata":{},"source":["### 3.2 提示模板\n","\n","在前面的例子中，我们通过[f字符串](https://docs.python.org/zh-cn/3/tutorial/inputoutput.html#tut-f-strings)把Python表达式的值`style`和`customer_email`添加到`prompt`字符串内。\n","\n","```python\n","prompt = f\"\"\"Translate the text \\\n","that is delimited by triple backticks \n","into a style that is {style}.\n","text: ```{customer_email}```\n","\"\"\"\n","```\n","`langchain`提供了接口方便快速的构造和使用提示。现在我们来看看如何使用`langchain`来构造提示。"]},{"cell_type":"markdown","metadata":{"tags":[]},"source":["#### 3.2.1 使用LangChain提示模版"]},{"cell_type":"markdown","metadata":{"tags":[]},"source":["##### 1️⃣ 构造提示模版字符串\n","我们构造一个提示模版字符串：`template_string`"]},{"cell_type":"code","execution_count":18,"metadata":{"tags":[]},"outputs":[],"source":["template_string = \"\"\"Translate the text \\\n","that is delimited by triple backticks \\\n","into a style that is {style}. \\\n","text: ```{text}```\n","\"\"\""]},{"cell_type":"markdown","metadata":{"tags":[]},"source":["##### 2️⃣ 构造LangChain提示模版\n","我们调用`ChatPromptTemplate.from_template()`函数将上面的提示模版字符`template_string`转换为提示模版`prompt_template`"]},{"cell_type":"code","execution_count":19,"metadata":{"tags":[]},"outputs":[],"source":["from langchain.prompts import ChatPromptTemplate\n","prompt_template = ChatPromptTemplate.from_template(template_string)"]},{"cell_type":"code","execution_count":20,"metadata":{"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["input_variables=['style', 'text'] output_parser=None partial_variables={} template='Translate the text that is delimited by triple backticks into a style that is {style}. text: ```{text}```\\n' template_format='f-string' validate_template=True\n"]}],"source":["print(prompt_template.messages[0].prompt)"]},{"cell_type":"markdown","metadata":{},"source":["从上面的输出可以看出，`prompt_template` 有两个输入变量： `style` 和 `text`。"]},{"cell_type":"code","execution_count":21,"metadata":{"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["['style', 'text']\n"]}],"source":["print(prompt_template.messages[0].prompt.input_variables)"]},{"cell_type":"markdown","metadata":{},"source":["##### 3️⃣ 使用模版得到客户消息提示\n","\n","langchain提示模版`prompt_template`需要两个输入变量： `style` 和 `text`。 这里分别对应 \n","- `customer_style`: 我们想要的顾客邮件风格\n","- `customer_email`: 顾客的原始邮件文本。"]},{"cell_type":"code","execution_count":22,"metadata":{"tags":[]},"outputs":[],"source":["customer_style = \"\"\"American English \\\n","in a calm and respectful tone\n","\"\"\""]},{"cell_type":"code","execution_count":23,"metadata":{"tags":[]},"outputs":[],"source":["customer_email = \"\"\"\n","Arrr, I be fuming that me blender lid \\\n","flew off and splattered me kitchen walls \\\n","with smoothie! And to make matters worse, \\\n","the warranty don't cover the cost of \\\n","cleaning up me kitchen. I need yer help \\\n","right now, matey!\n","\"\"\""]},{"cell_type":"markdown","metadata":{},"source":["对于给定的`customer_style`和`customer_email`, 我们可以使用提示模版`prompt_template`的`format_messages`方法生成想要的客户消息`customer_messages`。"]},{"cell_type":"code","execution_count":24,"metadata":{"tags":[]},"outputs":[],"source":["customer_messages = prompt_template.format_messages(\n","                    style=customer_style,\n","                    text=customer_email)"]},{"cell_type":"code","execution_count":25,"metadata":{"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["<class 'list'>\n","<class 'langchain.schema.messages.HumanMessage'>\n"]}],"source":["print(type(customer_messages))\n","print(type(customer_messages[0]))"]},{"cell_type":"markdown","metadata":{},"source":["可以看出`customer_messages`变量类型为列表(`list`)，而列表里的元素变量类型为langchain自定义消息(`langchain.schema.HumanMessage`)。\n","\n","打印第一个元素可以得到如下:"]},{"cell_type":"code","execution_count":26,"metadata":{"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["content=\"Translate the text that is delimited by triple backticks into a style that is American English in a calm and respectful tone\\n. text: ```\\nArrr, I be fuming that me blender lid flew off and splattered me kitchen walls with smoothie! And to make matters worse, the warranty don't cover the cost of cleaning up me kitchen. I need yer help right now, matey!\\n```\\n\" additional_kwargs={} example=False\n"]}],"source":["print(customer_messages[0])"]},{"cell_type":"code","execution_count":27,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["content='把由三个反引号分隔的文本翻译成一种正式普通话 用一个平静、尊敬的语气\\n风格。文本: ```\\n阿，我很生气，因为我的搅拌机盖掉了，把奶昔溅到了厨房的墙上！更糟糕的是，保修不包括打扫厨房的费用。我现在需要你的帮助，伙计！\\n```\\n' additional_kwargs={} example=False\n"]}],"source":["# 中文提示\n","from langchain.prompts import ChatPromptTemplate\n","\n","template_string = \"\"\"把由三个反引号分隔的文本\\\n","翻译成一种{style}风格。\\\n","文本: ```{text}```\n","\"\"\"\n","prompt_template = ChatPromptTemplate.from_template(template_string)\n","\n","customer_style = \"\"\"正式普通话 \\\n","用一个平静、尊敬的语气\n","\"\"\"\n","\n","customer_email = \"\"\"\n","阿，我很生气，\\\n","因为我的搅拌机盖掉了，\\\n","把奶昔溅到了厨房的墙上！\\\n","更糟糕的是，保修不包括打扫厨房的费用。\\\n","我现在需要你的帮助，伙计！\n","\"\"\"\n","\n","customer_messages = prompt_template.format_messages(\n","                    style=customer_style,\n","                    text=customer_email)\n","\n","\n","print(customer_messages[0])"]},{"cell_type":"markdown","metadata":{},"source":["##### 4️⃣ 调用chat模型转换客户消息风格\n","\n","现在我们可以调用[模型](#model)部分定义的chat模型来实现转换客户消息风格。到目前为止，我们已经实现了在前一部分的任务。"]},{"cell_type":"code","execution_count":28,"metadata":{"tags":[]},"outputs":[],"source":["customer_response = chat(customer_messages)"]},{"cell_type":"code","execution_count":29,"metadata":{"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["尊敬的伙计，我感到非常愤怒，因为我的搅拌机盖子不慎掉落，导致奶昔溅到了厨房的墙壁上！更加令人糟心的是，保修并不包括厨房清洁的费用。现在，我需要你的帮助，请你给予援手！\n"]}],"source":["print(customer_response.content)"]},{"cell_type":"code","execution_count":30,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["尊敬的伙计，我感到非常愤怒，因为我的搅拌机盖子不慎掉落，导致奶昔溅到了厨房的墙壁上！更加令人糟心的是，保修并不包括厨房清洁的费用。现在，我需要你的帮助，请你给予援手！\n"]}],"source":["print(customer_response.content)"]},{"cell_type":"markdown","metadata":{},"source":["##### 5️⃣ 使用模版得到回复消息提示\n","\n","接下来，我们更进一步，将客服人员回复的消息，转换为海盗的语言风格，并确保消息比较有礼貌。 \n","\n","这里，我们可以继续使用第2️⃣步构造的langchain提示模版，来获得我们回复消息提示。"]},{"cell_type":"code","execution_count":31,"metadata":{"tags":[]},"outputs":[],"source":["service_reply = \"\"\"Hey there customer, \\\n","the warranty does not cover \\\n","cleaning expenses for your kitchen \\\n","because it's your fault that \\\n","you misused your blender \\\n","by forgetting to put the lid on before \\\n","starting the blender. \\\n","Tough luck! See ya!\n","\"\"\""]},{"cell_type":"code","execution_count":32,"metadata":{},"outputs":[],"source":["service_style_pirate = \"\"\"\\\n","a polite tone \\\n","that speaks in English Pirate\\\n","\"\"\""]},{"cell_type":"code","execution_count":33,"metadata":{"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["把由三个反引号分隔的文本翻译成一种a polite tone that speaks in English Pirate风格。文本: ```Hey there customer, the warranty does not cover cleaning expenses for your kitchen because it's your fault that you misused your blender by forgetting to put the lid on before starting the blender. Tough luck! See ya!\n","```\n","\n"]}],"source":["service_messages = prompt_template.format_messages(\n","    style=service_style_pirate,\n","    text=service_reply)\n","\n","print(service_messages[0].content)"]},{"cell_type":"markdown","metadata":{},"source":["##### 6️⃣ 调用chat模型转换回复消息风格\n","\n","调用[模型](#model)部分定义的chat模型来转换回复消息风格"]},{"cell_type":"code","execution_count":34,"metadata":{"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["Ahoy there, matey! I regret to inform ye, valued customer, that the warranty be not coverin' the expenses o' cleanin' yer galley due to yer own negligence. 'Tis yer own fault, ye see, fer ye be misusin' yer blender by forgettin' to secure the lid afore settin' it in motion. Aye, 'tis a tough break, indeed! Fare thee well, me heartie!\n"]}],"source":["service_response = chat(service_messages)\n","print(service_response.content)"]},{"cell_type":"markdown","metadata":{},"source":["#### 3.2.2 中文版"]},{"cell_type":"code","execution_count":35,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["把由三个反引号分隔的文本翻译成一种一个有礼貌的语气 使用正式的普通话 风格。文本: ```嘿，顾客， 保修不包括厨房的清洁费用， 因为您在启动搅拌机之前 忘记盖上盖子而误用搅拌机, 这是您的错。 倒霉！ 再见！\n","```\n","\n"]}],"source":["service_reply = \"\"\"嘿，顾客， \\\n","保修不包括厨房的清洁费用， \\\n","因为您在启动搅拌机之前 \\\n","忘记盖上盖子而误用搅拌机, \\\n","这是您的错。 \\\n","倒霉！ 再见！\n","\"\"\"\n","\n","service_style_pirate = \"\"\"\\\n","一个有礼貌的语气 \\\n","使用正式的普通话 \\\n","\"\"\"\n","service_messages = prompt_template.format_messages(\n","    style=service_style_pirate,\n","    text=service_reply)\n","\n","print(service_messages[0].content)"]},{"cell_type":"code","execution_count":36,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["尊敬的顾客，很抱歉告知您，保修服务不包含厨房清洁费用。这是因为在您使用搅拌机之前，不慎忘记盖上盖子而导致误用搅拌机，这属于您的疏忽。非常遗憾！祝您一切顺利！再见！\n"]}],"source":["service_response = chat(service_messages)\n","print(service_response.content)"]},{"cell_type":"markdown","metadata":{"tags":[]},"source":["#### 3.2.2 为什么需要提示模版"]},{"cell_type":"markdown","metadata":{},"source":["在应用于比较复杂的场景时，提示可能会非常长并且包含涉及许多细节。**使用提示模版，可以让我们更为方便地重复使用设计好的提示**。"]},{"cell_type":"markdown","metadata":{},"source":["下面给出了一个比较长的提示模版案例。学生们线上学习并提交作业，通过以下的提示来实现对学生的提交的作业的评分。"]},{"cell_type":"code","execution_count":37,"metadata":{},"outputs":[],"source":["# 英文版\n","prompt = \"\"\" Your task is to determine if the student's solution is correct or not\n","\n","    To solve the problem do the following:\n","    - First, workout your own solution to the problem\n","    - Then compare your solution to the student's solution \n","    and evaluate if the sudtent's solution is correct or not.\n","    ...\n","    Use the following format:\n","    Question:\n","    ```\n","    question here\n","    ```\n","    Student's solution:\n","    ```\n","    student's solution here\n","    ```\n","    Actual solution:\n","    ```\n","    ...\n","    steps to work out the solution and your solution here\n","    ```\n","    Is the student's solution the same as acutal solution \\\n","    just calculated:\n","    ```\n","    yes or no\n","    ```\n","    Student grade\n","    ```\n","    correct or incorrect\n","    ```\n","    \n","    Question:\n","    ```\n","    {question}\n","    ```\n","    Student's solution:\n","    ```\n","    {student's solution}\n","    ```\n","    Actual solution:\n","    \n","    \"\"\""]},{"cell_type":"code","execution_count":38,"metadata":{},"outputs":[],"source":["# 中文版\n","prompt = \"\"\" 你的任务是判断学生的解决方案是正确的还是不正确的\n","\n","要解决该问题，请执行以下操作：\n"," - 首先，制定自己的问题解决方案\n"," - 然后将您的解决方案与学生的解决方案进行比较\n"," 并评估学生的解决方案是否正确。\n","...\n","使用下面的格式:\n","\n","问题:\n","```\n","问题文本\n","```\n","学生的解决方案:\n","```\n","学生的解决方案文本\n","```\n","实际解决方案:\n","```\n","...\n","制定解决方案的步骤以及您的解决方案请参见此处\n","```\n","学生的解决方案和实际解决方案是否相同 \\\n","只计算：\n","```\n","是或者不是\n","```\n","学生的成绩\n","```\n","正确或者不正确\n","```\n","\n","问题:\n","```\n","{question}\n","```\n","学生的解决方案:\n","```\n","{student's solution}\n","```\n","实际解决方案:\n","\n","\"\"\""]},{"cell_type":"markdown","metadata":{"jp-MarkdownHeadingCollapsed":true,"tags":[]},"source":["此外，LangChain还提供了提示模版用于一些常用场景。比如自动摘要、问答、连接到SQL数据库、连接到不同的API. 通过使用LangChain内置的提示模版，你可以快速建立自己的大模型应用，而不需要花时间去设计和构造提示。\n","\n","最后，我们在建立大模型应用时，通常希望模型的输出为给定的格式，比如在输出使用特定的关键词来让输出结构化。 下面为一个使用大模型进行链式思考推理例子，对于问题：*What is the elevation range for the area that the eastern sector of the Colorado orogeny extends into?*\n","\n","通过使用LangChain库函数，输出采用\"Thought\"（思考）、\"Action\"（行动）、\"Observation\"（观察）作为链式思考推理的关键词，让输出结构化。\n","\n","```\n","Thought: I need to search Colorado orogeny, find the area that the eastern sector of the Colorado orogeny extends into, then find the elevation range of the area.\n","Action: Search[Colorado orogeny]\n","Observation: The Colorado orogeny was an episode of mountain building (an orogeny) in Colorado and surrounding areas.\n","\n","Thought: It does not mention the eastern sector. So I need to look up eastern sector.\n","Action: Lookup[eastern sector]\n","Observation: (Result 1 / 1) The eastern sector extends into the High Plains and is called the Central Plains orogeny.\n","\n","Thought: The eastern sector of Colorado orogeny extends into the High Plains. So I need to search High Plains and find its elevation range.\n","Action: Search[High Plains]\n","Observation: High Plains refers to one of two distinct land regions\n","\n","Thought: I need to instead search High Plains (United States).\n","Action: Search[High Plains (United States)]\n","Observation: The High Plains are a subregion of the Great Plains. From east to west, the High Plains rise in elevation from around 1,800 to 7,000 ft (550 to 2,130 m).[3]\n","\n","Thought: High Plains rise in elevation from around 1,800 to 7,000 ft, so the answer is 1,800 to 7,000 ft.\n","Action: Finish[1,800 to 7,000 ft]\n","```"]},{"cell_type":"markdown","metadata":{},"source":["在补充材料中，可以查看使用LangChain和OpenAI进行链式思考推理的另一个代码实例。"]},{"cell_type":"markdown","metadata":{},"source":["### 3.3 输出解析器"]},{"cell_type":"markdown","metadata":{},"source":["#### 3.3.1 如果没有输出解析器\n","\n","对于给定的评价`customer_review`, 我们希望提取信息，并按以下格式输出：\n","\n","```python\n","{\n","  \"gift\": False,\n","  \"delivery_days\": 5,\n","  \"price_value\": \"pretty affordable!\"\n","}\n","```"]},{"cell_type":"code","execution_count":39,"metadata":{},"outputs":[],"source":["customer_review = \"\"\"\\\n","This leaf blower is pretty amazing.  It has four settings:\\\n","candle blower, gentle breeze, windy city, and tornado. \\\n","It arrived in two days, just in time for my wife's \\\n","anniversary present. \\\n","I think my wife liked it so much she was speechless. \\\n","So far I've been the only one using it, and I've been \\\n","using it every other morning to clear the leaves on our lawn. \\\n","It's slightly more expensive than the other leaf blowers \\\n","out there, but I think it's worth it for the extra features.\n","\"\"\""]},{"cell_type":"markdown","metadata":{},"source":["##### 1️⃣ 构造提示模版字符串"]},{"cell_type":"code","execution_count":40,"metadata":{},"outputs":[],"source":["review_template = \"\"\"\\\n","For the following text, extract the following information:\n","\n","gift: Was the item purchased as a gift for someone else? \\\n","Answer True if yes, False if not or unknown.\n","\n","delivery_days: How many days did it take for the product \\\n","to arrive? If this information is not found, output -1.\n","\n","price_value: Extract any sentences about the value or price,\\\n","and output them as a comma separated Python list.\n","\n","Format the output as JSON with the following keys:\n","gift\n","delivery_days\n","price_value\n","\n","text: {text}\n","\"\"\""]},{"cell_type":"markdown","metadata":{},"source":["##### 2️⃣ 构造langchain提示模版"]},{"cell_type":"code","execution_count":41,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["input_variables=['text'] output_parser=None partial_variables={} messages=[HumanMessagePromptTemplate(prompt=PromptTemplate(input_variables=['text'], output_parser=None, partial_variables={}, template='For the following text, extract the following information:\\n\\ngift: Was the item purchased as a gift for someone else? Answer True if yes, False if not or unknown.\\n\\ndelivery_days: How many days did it take for the product to arrive? If this information is not found, output -1.\\n\\nprice_value: Extract any sentences about the value or price,and output them as a comma separated Python list.\\n\\nFormat the output as JSON with the following keys:\\ngift\\ndelivery_days\\nprice_value\\n\\ntext: {text}\\n', template_format='f-string', validate_template=True), additional_kwargs={})]\n"]}],"source":["from langchain.prompts import ChatPromptTemplate\n","prompt_template = ChatPromptTemplate.from_template(review_template)\n","print(prompt_template)"]},{"cell_type":"markdown","metadata":{},"source":["##### 3️⃣ 使用模版得到提示消息"]},{"cell_type":"code","execution_count":42,"metadata":{},"outputs":[],"source":["messages = prompt_template.format_messages(text=customer_review)"]},{"cell_type":"markdown","metadata":{},"source":["##### 4️⃣ 调用chat模型提取信息"]},{"cell_type":"code","execution_count":43,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["{\n","  \"gift\": false,\n","  \"delivery_days\": 2,\n","  \"price_value\": [\"It's slightly more expensive than the other leaf blowers out there, but I think it's worth it for the extra features.\"]\n","}\n"]}],"source":["chat = ChatOpenAI(temperature=0.0)\n","response = chat(messages)\n","print(response.content)"]},{"cell_type":"markdown","metadata":{},"source":["##### 📝 分析与总结\n","`response.content`类型为字符串（`str`），而并非字典(`dict`), 直接使用`get`方法会报错。因此，我们需要输出解释器。"]},{"cell_type":"code","execution_count":44,"metadata":{},"outputs":[{"data":{"text/plain":["str"]},"execution_count":44,"metadata":{},"output_type":"execute_result"}],"source":["type(response.content)"]},{"cell_type":"code","execution_count":45,"metadata":{},"outputs":[{"ename":"AttributeError","evalue":"'str' object has no attribute 'get'","output_type":"error","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)","Input \u001b[0;32mIn [45]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mresponse\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcontent\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mgift\u001b[39m\u001b[38;5;124m'\u001b[39m)\n","\u001b[0;31mAttributeError\u001b[0m: 'str' object has no attribute 'get'"]}],"source":["response.content.get('gift')"]},{"cell_type":"markdown","metadata":{},"source":["#### 3.3.2 中文版"]},{"cell_type":"code","execution_count":46,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["input_variables=['text'] output_parser=None partial_variables={} messages=[HumanMessagePromptTemplate(prompt=PromptTemplate(input_variables=['text'], output_parser=None, partial_variables={}, template='对于以下文本，请从中提取以下信息：\\n\\n礼物：该商品是作为礼物送给别人的吗？ 如果是，则回答 是的；如果否或未知，则回答 不是。\\n\\n交货天数：产品需要多少天到达？ 如果没有找到该信息，则输出-1。\\n\\n价钱：提取有关价值或价格的任何句子，并将它们输出为逗号分隔的 Python 列表。\\n\\n使用以下键将输出格式化为 JSON：\\n礼物\\n交货天数\\n价钱\\n\\n文本: {text}\\n', template_format='f-string', validate_template=True), additional_kwargs={})]\n"]}],"source":["from langchain.prompts import ChatPromptTemplate\n","\n","customer_review = \"\"\"\\\n","这款吹叶机非常神奇。 它有四个设置：\\\n","吹蜡烛、微风、风城、龙卷风。 \\\n","两天后就到了，正好赶上我妻子的\\\n","周年纪念礼物。 \\\n","我想我的妻子会喜欢它到说不出话来。 \\\n","到目前为止，我是唯一一个使用它的人，而且我一直\\\n","每隔一天早上用它来清理草坪上的叶子。 \\\n","它比其他吹叶机稍微贵一点，\\\n","但我认为它的额外功能是值得的。\n","\"\"\"\n","\n","review_template = \"\"\"\\\n","对于以下文本，请从中提取以下信息：\n","\n","礼物：该商品是作为礼物送给别人的吗？ \\\n","如果是，则回答 是的；如果否或未知，则回答 不是。\n","\n","交货天数：产品需要多少天\\\n","到达？ 如果没有找到该信息，则输出-1。\n","\n","价钱：提取有关价值或价格的任何句子，\\\n","并将它们输出为逗号分隔的 Python 列表。\n","\n","使用以下键将输出格式化为 JSON：\n","礼物\n","交货天数\n","价钱\n","\n","文本: {text}\n","\"\"\"\n","\n","prompt_template = ChatPromptTemplate.from_template(review_template)\n","print(prompt_template)\n"]},{"cell_type":"code","execution_count":47,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["{\n","  \"礼物\": \"是的\",\n","  \"交货天数\": 2,\n","  \"价钱\": [\"它比其他吹叶机稍微贵一点\"]\n","}\n"]}],"source":["messages = prompt_template.format_messages(text=customer_review)\n","\n","chat = ChatOpenAI(temperature=0.0)\n","response = chat(messages)\n","print(response.content)"]},{"cell_type":"markdown","metadata":{},"source":["#### 3.3.3 LangChain输出解析器"]},{"cell_type":"markdown","metadata":{},"source":["##### 1️⃣ 构造提示模版字符串"]},{"cell_type":"code","execution_count":48,"metadata":{},"outputs":[],"source":["review_template_2 = \"\"\"\\\n","For the following text, extract the following information:\n","\n","gift: Was the item purchased as a gift for someone else? \\\n","Answer True if yes, False if not or unknown.\n","\n","delivery_days: How many days did it take for the product\\\n","to arrive? If this information is not found, output -1.\n","\n","price_value: Extract any sentences about the value or price,\\\n","and output them as a comma separated Python list.\n","\n","text: {text}\n","\n","{format_instructions}\n","\"\"\""]},{"cell_type":"markdown","metadata":{},"source":["##### 2️⃣ 构造langchain提示模版"]},{"cell_type":"code","execution_count":49,"metadata":{},"outputs":[],"source":["prompt = ChatPromptTemplate.from_template(template=review_template_2)"]},{"cell_type":"markdown","metadata":{},"source":["##### 🔥 构造输出解析器"]},{"cell_type":"code","execution_count":50,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["The output should be a markdown code snippet formatted in the following schema, including the leading and trailing \"```json\" and \"```\":\n","\n","```json\n","{\n","\t\"gift\": string  // Was the item purchased                             as a gift for someone else?                              Answer True if yes,                             False if not or unknown.\n","\t\"delivery_days\": string  // How many days                                      did it take for the product                                      to arrive? If this                                       information is not found,                                      output -1.\n","\t\"price_value\": string  // Extract any                                    sentences about the value or                                     price, and output them as a                                     comma separated Python list.\n","}\n","```\n"]}],"source":["from langchain.output_parsers import ResponseSchema\n","from langchain.output_parsers import StructuredOutputParser\n","\n","gift_schema = ResponseSchema(name=\"gift\",\n","                             description=\"Was the item purchased\\\n","                             as a gift for someone else? \\\n","                             Answer True if yes,\\\n","                             False if not or unknown.\")\n","\n","delivery_days_schema = ResponseSchema(name=\"delivery_days\",\n","                                      description=\"How many days\\\n","                                      did it take for the product\\\n","                                      to arrive? If this \\\n","                                      information is not found,\\\n","                                      output -1.\")\n","\n","price_value_schema = ResponseSchema(name=\"price_value\",\n","                                    description=\"Extract any\\\n","                                    sentences about the value or \\\n","                                    price, and output them as a \\\n","                                    comma separated Python list.\")\n","\n","\n","response_schemas = [gift_schema, \n","                    delivery_days_schema,\n","                    price_value_schema]\n","output_parser = StructuredOutputParser.from_response_schemas(response_schemas)\n","format_instructions = output_parser.get_format_instructions()\n","print(format_instructions)"]},{"cell_type":"markdown","metadata":{},"source":["##### 3️⃣ 使用模版得到提示消息"]},{"cell_type":"code","execution_count":51,"metadata":{},"outputs":[],"source":["messages = prompt.format_messages(text=customer_review, format_instructions=format_instructions)"]},{"cell_type":"code","execution_count":52,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["For the following text, extract the following information:\n","\n","gift: Was the item purchased as a gift for someone else? Answer True if yes, False if not or unknown.\n","\n","delivery_days: How many days did it take for the productto arrive? If this information is not found, output -1.\n","\n","price_value: Extract any sentences about the value or price,and output them as a comma separated Python list.\n","\n","text: 这款吹叶机非常神奇。 它有四个设置：吹蜡烛、微风、风城、龙卷风。 两天后就到了，正好赶上我妻子的周年纪念礼物。 我想我的妻子会喜欢它到说不出话来。 到目前为止，我是唯一一个使用它的人，而且我一直每隔一天早上用它来清理草坪上的叶子。 它比其他吹叶机稍微贵一点，但我认为它的额外功能是值得的。\n","\n","\n","The output should be a markdown code snippet formatted in the following schema, including the leading and trailing \"```json\" and \"```\":\n","\n","```json\n","{\n","\t\"gift\": string  // Was the item purchased                             as a gift for someone else?                              Answer True if yes,                             False if not or unknown.\n","\t\"delivery_days\": string  // How many days                                      did it take for the product                                      to arrive? If this                                       information is not found,                                      output -1.\n","\t\"price_value\": string  // Extract any                                    sentences about the value or                                     price, and output them as a                                     comma separated Python list.\n","}\n","```\n","\n"]}],"source":["print(messages[0].content)"]},{"cell_type":"markdown","metadata":{},"source":["##### 4️⃣ 调用chat模型提取信息"]},{"cell_type":"code","execution_count":53,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["```json\n","{\n","\t\"gift\": false,\n","\t\"delivery_days\": \"2\",\n","\t\"price_value\": \"它比其他吹叶机稍微贵一点\"\n","}\n","```\n"]}],"source":["response = chat(messages)\n","print(response.content)"]},{"cell_type":"markdown","metadata":{},"source":["##### 5️⃣ 使用输出解析器解析输出"]},{"cell_type":"code","execution_count":54,"metadata":{},"outputs":[{"data":{"text/plain":["{'gift': False, 'delivery_days': '2', 'price_value': '它比其他吹叶机稍微贵一点'}"]},"execution_count":54,"metadata":{},"output_type":"execute_result"}],"source":["output_dict = output_parser.parse(response.content)\n","output_dict"]},{"cell_type":"markdown","metadata":{},"source":["##### 📝 分析与总结\n","`output_dict`类型为字典(`dict`), 可直接使用`get`方法。这样的输出更方便下游任务的处理。"]},{"cell_type":"code","execution_count":55,"metadata":{},"outputs":[{"data":{"text/plain":["dict"]},"execution_count":55,"metadata":{},"output_type":"execute_result"}],"source":["type(output_dict)"]},{"cell_type":"code","execution_count":56,"metadata":{},"outputs":[{"data":{"text/plain":["'2'"]},"execution_count":56,"metadata":{},"output_type":"execute_result"}],"source":["output_dict.get('delivery_days')"]},{"cell_type":"markdown","metadata":{},"source":["#### 3.3.4 中文版"]},{"cell_type":"code","execution_count":57,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["The output should be a markdown code snippet formatted in the following schema, including the leading and trailing \"```json\" and \"```\":\n","\n","```json\n","{\n","\t\"礼物\": string  // 这件物品是作为礼物送给别人的吗？                            如果是，则回答 是的，                            如果否或未知，则回答 不是。\n","\t\"交货天数\": string  // 产品需要多少天才能到达？                                      如果没有找到该信息，则输出-1。\n","\t\"价钱\": string  // 提取有关价值或价格的任何句子，                                    并将它们输出为逗号分隔的 Python 列表\n","}\n","```\n"]}],"source":["# 中文\n","review_template_2 = \"\"\"\\\n","对于以下文本，请从中提取以下信息：：\n","\n","礼物：该商品是作为礼物送给别人的吗？\n","如果是，则回答 是的；如果否或未知，则回答 不是。\n","\n","交货天数：产品到达需要多少天？ 如果没有找到该信息，则输出-1。\n","\n","价钱：提取有关价值或价格的任何句子，并将它们输出为逗号分隔的 Python 列表。\n","\n","文本: {text}\n","\n","{format_instructions}\n","\"\"\"\n","\n","from langchain.output_parsers import ResponseSchema\n","from langchain.output_parsers import StructuredOutputParser\n","\n","gift_schema = ResponseSchema(name=\"礼物\",\n","                             description=\"这件物品是作为礼物送给别人的吗？\\\n","                            如果是，则回答 是的，\\\n","                            如果否或未知，则回答 不是。\")\n","\n","delivery_days_schema = ResponseSchema(name=\"交货天数\",\n","                                      description=\"产品需要多少天才能到达？\\\n","                                      如果没有找到该信息，则输出-1。\")\n","\n","price_value_schema = ResponseSchema(name=\"价钱\",\n","                                    description=\"提取有关价值或价格的任何句子，\\\n","                                    并将它们输出为逗号分隔的 Python 列表\")\n","\n","\n","response_schemas = [gift_schema, \n","                    delivery_days_schema,\n","                    price_value_schema]\n","output_parser = StructuredOutputParser.from_response_schemas(response_schemas)\n","format_instructions = output_parser.get_format_instructions()\n","print(format_instructions)"]},{"cell_type":"code","execution_count":58,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["For the following text, extract the following information:\n","\n","gift: Was the item purchased as a gift for someone else? Answer True if yes, False if not or unknown.\n","\n","delivery_days: How many days did it take for the productto arrive? If this information is not found, output -1.\n","\n","price_value: Extract any sentences about the value or price,and output them as a comma separated Python list.\n","\n","text: 这款吹叶机非常神奇。 它有四个设置：吹蜡烛、微风、风城、龙卷风。 两天后就到了，正好赶上我妻子的周年纪念礼物。 我想我的妻子会喜欢它到说不出话来。 到目前为止，我是唯一一个使用它的人，而且我一直每隔一天早上用它来清理草坪上的叶子。 它比其他吹叶机稍微贵一点，但我认为它的额外功能是值得的。\n","\n","\n","The output should be a markdown code snippet formatted in the following schema, including the leading and trailing \"```json\" and \"```\":\n","\n","```json\n","{\n","\t\"礼物\": string  // 这件物品是作为礼物送给别人的吗？                            如果是，则回答 是的，                            如果否或未知，则回答 不是。\n","\t\"交货天数\": string  // 产品需要多少天才能到达？                                      如果没有找到该信息，则输出-1。\n","\t\"价钱\": string  // 提取有关价值或价格的任何句子，                                    并将它们输出为逗号分隔的 Python 列表\n","}\n","```\n","\n"]}],"source":["messages = prompt.format_messages(text=customer_review, format_instructions=format_instructions)\n","print(messages[0].content)"]},{"cell_type":"code","execution_count":59,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["```json\n","{\n","\t\"礼物\": false,\n","\t\"交货天数\": \"两天后\",\n","\t\"价钱\": \"它比其他吹叶机稍微贵一点\"\n","}\n","```\n"]}],"source":["response = chat(messages)\n","print(response.content)\n"]},{"cell_type":"code","execution_count":60,"metadata":{},"outputs":[{"data":{"text/plain":["{'礼物': False, '交货天数': '两天后', '价钱': '它比其他吹叶机稍微贵一点'}"]},"execution_count":60,"metadata":{},"output_type":"execute_result"}],"source":["output_dict = output_parser.parse(response.content)\n","output_dict"]},{"cell_type":"markdown","metadata":{},"source":["## 四、补充材料"]},{"cell_type":"markdown","metadata":{},"source":["### 4.1 链式思考推理(ReAct)\n","参考资料：[ReAct (Reason+Act) prompting in OpenAI GPT and LangChain](https://tsmatz.wordpress.com/2023/03/07/react-with-openai-gpt-and-langchain/)"]},{"cell_type":"code","execution_count":68,"metadata":{},"outputs":[],"source":["!pip install -q wikipedia"]},{"cell_type":"code","execution_count":69,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["\n","\n","\u001b[1m> Entering new  chain...\u001b[0m\n","\u001b[32;1m\u001b[1;3mThought: I need to search David Chanoff and find the U.S. Navy admiral he collaborated with. Then I need to find the president under whom the admiral served as the ambassador to the United Kingdom.\n","Action: Search[David Chanoff]\u001b[0m\n","Observation: \u001b[36;1m\u001b[1;3mDavid Chanoff is a noted author of non-fiction work. His work has typically involved collaborations with the principal protagonist of the work concerned. His collaborators have included; Augustus A. White, Joycelyn Elders, Đoàn Văn Toại, William J. Crowe, Ariel Sharon, Kenneth Good and Felix Zandman. He has also written about a wide range of subjects including literary history, education and foreign for The Washington Post, The New Republic and The New York Times Magazine. He has published more than twelve books.\u001b[0m\n","Thought:\u001b[32;1m\u001b[1;3mDavid Chanoff has collaborated with several individuals, including Augustus A. White, Joycelyn Elders, Đoàn Văn Toại, William J. Crowe, Ariel Sharon, Kenneth Good, and Felix Zandman. I need to search each of these individuals to find the U.S. Navy admiral. \n","Action: Search[Augustus A. White]\u001b[0m\n","Observation: \u001b[36;1m\u001b[1;3mAugustus A. White III (born June 4, 1936) is the Ellen and Melvin Gordon Distinguished Professor of Medical Education and Professor of Orthopedic Surgery at Harvard Medical School and a former Orthopaedic Surgeon-in-Chief at Beth Israel Hospital, Boston, Massachusetts. White was the first African American medical student at Stanford, surgical resident at Yale University, professor of medicine at Yale, and department head at a Harvard-affiliated hospital (Beth Israel Hospital).\u001b[0m\n","Thought:\u001b[32;1m\u001b[1;3mAugustus A. White III is not a U.S. Navy admiral. I need to search the next individual, Joycelyn Elders.\n","Action: Search[Joycelyn Elders]\u001b[0m\n","Observation: \u001b[36;1m\u001b[1;3mMinnie Joycelyn Elders (born Minnie Lee Jones; August 13, 1933) is an American pediatrician and public health administrator who served as Surgeon General of the United States from 1993 to 1994. A vice admiral in the Public Health Service Commissioned Corps, she was the second woman, second person of color, and first African American to serve as Surgeon General. \n","Elders is best known for her frank discussion of her views on controversial issues such as drug legalization, masturbation, and distributing contraception in schools. She was forced to resign in December 1994 amidst controversy as a result of her views. She is currently a professor emerita of pediatrics at the University of Arkansas for Medical Sciences.\u001b[0m\n","Thought:\u001b[32;1m\u001b[1;3mJoycelyn Elders is a pediatrician and public health administrator, not a U.S. Navy admiral. I need to search the next individual, Đoàn Văn Toại.\n","Action: Search[Đoàn Văn Toại]\u001b[0m\n","Observation: \u001b[36;1m\u001b[1;3mĐoàn Văn Toại (1945 in Vietnam – November 2017 in California) was a Vietnamese-born naturalized American activist and the author of The Vietnamese Gulag (Simon & Schuster, 1986).\u001b[0m\n","Thought:\u001b[32;1m\u001b[1;3mĐoàn Văn Toại is an activist and author, not a U.S. Navy admiral. I need to search the next individual, William J. Crowe.\n","Action: Search[William J. Crowe]\u001b[0m\n","Observation: \u001b[36;1m\u001b[1;3mWilliam James Crowe Jr. (January 2, 1925 – October 18, 2007) was a United States Navy admiral and diplomat who served as the 11th chairman of the Joint Chiefs of Staff under Presidents Ronald Reagan and George H. W. Bush, and as the ambassador to the United Kingdom and Chair of the Intelligence Oversight Board under President Bill Clinton.\u001b[0m\n","Thought:\u001b[32;1m\u001b[1;3mWilliam J. Crowe is a U.S. Navy admiral and diplomat. I need to find the president under whom he served as the ambassador to the United Kingdom.\n","Action: Search[William J. Crowe ambassador to United Kingdom]\u001b[0m\n","Observation: \u001b[36;1m\u001b[1;3mWilliam James Crowe Jr. (January 2, 1925 – October 18, 2007) was a United States Navy admiral and diplomat who served as the 11th chairman of the Joint Chiefs of Staff under Presidents Ronald Reagan and George H. W. Bush, and as the ambassador to the United Kingdom and Chair of the Intelligence Oversight Board under President Bill Clinton.\u001b[0m\n","Thought:\u001b[32;1m\u001b[1;3mWilliam J. Crowe served as the ambassador to the United Kingdom under President Bill Clinton. So the answer is Bill Clinton.\n","Action: Finish[Bill Clinton]\u001b[0m\n","\n","\u001b[1m> Finished chain.\u001b[0m\n"]},{"data":{"text/plain":["'Bill Clinton'"]},"execution_count":69,"metadata":{},"output_type":"execute_result"}],"source":["from langchain.docstore.wikipedia import Wikipedia\n","from langchain.llms import OpenAI\n","from langchain.agents import initialize_agent, Tool, AgentExecutor\n","from langchain.agents.react.base import DocstoreExplorer\n","\n","docstore=DocstoreExplorer(Wikipedia())\n","tools = [\n","  Tool(\n","    name=\"Search\",\n","    func=docstore.search,\n","    description=\"Search for a term in the docstore.\",\n","  ),\n","  Tool(\n","    name=\"Lookup\",\n","    func=docstore.lookup,\n","    description=\"Lookup a term in the docstore.\",\n","  )\n","]\n","\n","# 使用大语言模型\n","llm = OpenAI(\n","  model_name=\"gpt-3.5-turbo\",\n","  temperature=0,\n",")\n","\n","# 初始化ReAct代理\n","react = initialize_agent(tools, llm, agent=\"react-docstore\", verbose=True)\n","agent_executor = AgentExecutor.from_agent_and_tools(\n","  agent=react.agent,\n","  tools=tools,\n","  verbose=True,\n",")\n","\n","\n","question = \"Author David Chanoff has collaborated with a U.S. Navy admiral who served as the ambassador to the United Kingdom under which President?\"\n","agent_executor.run(question)"]}],"metadata":{"kernelspec":{"display_name":"Python 3 (ipykernel)","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.9.12"}},"nbformat":4,"nbformat_minor":4}
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+++ "b/content/\345\277\205\344\277\256\344\270\211-LangChain for LLM Application Development/3.\345\202\250\345\255\230  Memory.ipynb"	
@@ -1 +1 @@
-{"cells":[{"cell_type":"markdown","id":"a786c77c","metadata":{"tags":[]},"source":["# 第三章 储存\n","\n"," - [一、设置OpenAI API Key](#一、设置OpenAI-API-Key)\n"," - [二、对话缓存储存](#二、对话缓存储存)\n","     - [2.1 英文版](#2.1-英文版)\n","         - [2.1.1 初始化对话模型](#2.1.1-初始化对话模型)\n","         - [2.1.2 第一轮对话](#2.1.2-第一轮对话)\n","         - [2.1.3 第二轮对话](#2.1.3-第二轮对话)\n","         - [2.1.4 第三轮对话](#2.1.4-第三轮对话)\n","         - [2.1.5 查看储存缓存](#2.1.5-查看储存缓存)\n","         - [2.1.6 直接添加内容到储存缓存](#2.1.6-直接添加内容到储存缓存)\n","     - [2.2 中文版](#2.2-中文版)\n","         - [2.1.1 初始化对话模型](#2.1.1-初始化对话模型)\n","         - [2.1.2 第一轮对话](#2.1.2-第一轮对话)\n","         - [2.1.3 第二轮对话](#2.1.3-第二轮对话)\n","         - [2.1.4 第三轮对话](#2.1.4-第三轮对话)\n","         - [2.1.5 查看储存缓存](#2.1.5-查看储存缓存)\n","         - [2.1.6 直接添加内容到储存缓存](#2.1.6-直接添加内容到储存缓存)\n","     - [2.3 总结](#2.3-总结)\n"," - [三、对话缓存窗口储存](#三、对话缓存窗口储存)\n","     - [3.1 英文版](#3.1-英文版)\n","         - [3.1.1 添加两轮对话到窗口储存](#3.1.1-添加两轮对话到窗口储存)\n","         - [3.1.2 在对话链中应用窗口储存](#3.1.2-在对话链中应用窗口储存)\n","     - [3.2 中文版](#3.2-中文版)\n","         - [3.1.1 添加两轮对话到窗口储存](#3.1.1-添加两轮对话到窗口储存)\n","         - [3.1.2 在对话链中应用窗口储存](#3.1.2-在对话链中应用窗口储存)\n"," - [四、对话token缓存储存](#四、对话token缓存储存)\n","     - [4.1 英文版](#4.1-英文版)\n","     - [4.2 中文版](#4.2-中文版)\n","     - [4.3 补充](#4.3-补充)\n"," - [五、对话摘要缓存储存](#五、对话摘要缓存储存)\n","     - [5.1 英文版](#5.1-英文版)\n","         - [5.1.1 使用对话摘要缓存储存](#5.1.1-使用对话摘要缓存储存)\n","         - [5.1.2 基于对话摘要缓存储存的对话链](#5.1.2-基于对话摘要缓存储存的对话链)\n","     - [5.2 中文版](#5.2-中文版)\n","         - [5.2.1 使用对话摘要缓存储存](#5.2.1-使用对话摘要缓存储存)\n","         - [5.1.2 基于对话摘要缓存储存的对话链](#5.1.2-基于对话摘要缓存储存的对话链)\n"]},{"cell_type":"markdown","id":"7e10db6f","metadata":{},"source":["当你与那些语言模型进行交互的时候，他们不会记得你之前和他进行的交流内容，这在我们构建一些应用程序（如聊天机器人）的时候，是一个很大的问题 -- 显得不够智能！因此，在本节中我们将介绍 LangChain 中的储存模块，即如何将先前的对话嵌入到语言模型中的，使其具有连续对话的能力。\n","\n","当使用 LangChain 中的储存(Memory)模块时，它可以帮助保存和管理历史聊天消息，以及构建关于特定实体的知识。这些组件可以跨多轮对话储存信息，并允许在对话期间跟踪特定信息和上下文。\n","\n","LangChain 提供了多种储存类型。其中，缓冲区储存允许保留最近的聊天消息，摘要储存则提供了对整个对话的摘要。实体储存 则允许在多轮对话中保留有关特定实体的信息。这些记忆组件都是模块化的，可与其他组件组合使用，从而增强机器人的对话管理能力。储存模块可以通过简单的API调用来访问和更新，允许开发人员更轻松地实现对话历史记录的管理和维护。\n","\n","此次课程主要介绍其中四种储存模块，其他模块可查看文档学习。\n","- 对话缓存储存 (ConversationBufferMemory）\n","- 对话缓存窗口储存 (ConversationBufferWindowMemory）\n","- 对话令牌缓存储存 (ConversationTokenBufferMemory）\n","- 对话摘要缓存储存 (ConversationSummaryBufferMemory）\n","\n","在LangChain中，储存 指的是大语言模型（LLM）的短期记忆。为什么是短期记忆？那是因为LLM训练好之后 (获得了一些长期记忆)，它的参数便不会因为用户的输入而发生改变。当用户与训练好的LLM进行对话时，LLM会暂时记住用户的输入和它已经生成的输出，以便预测之后的输出，而模型输出完毕后，它便会“遗忘”之前用户的输入和它的输出。因此，之前的这些信息只能称作为LLM的短期记忆。  \n","  \n","为了延长LLM短期记忆的保留时间，则需要借助一些外部储存方式来进行记忆，以便在用户与LLM对话中，LLM能够尽可能的知道用户与它所进行的历史对话信息。 "]},{"cell_type":"markdown","id":"1ca56e6b-1e07-4405-a1ca-f4237f20fa75","metadata":{"jp-MarkdownHeadingCollapsed":true,"tags":[]},"source":["## 一、设置OpenAI API Key\n","\n","登陆 [OpenAI 账户](https://platform.openai.com/account/api-keys) 获取API Key，然后将其设置为环境变量。\n","\n","- 如果你想要设置为全局环境变量，可以参考[知乎文章](https://zhuanlan.zhihu.com/p/627665725)。\n","- 如果你想要设置为本地/项目环境变量，在本文件目录下创建`.env`文件, 打开文件输入以下内容。\n","\n","    <p style=\"font-family:verdana; font-size:12px;color:green\">\n","    OPENAI_API_KEY=\"your_api_key\" \n","    </p>\n","  \n","  替换\"your_api_key\"为你自己的 API Key"]},{"cell_type":"code","execution_count":1,"id":"10446712-9fa6-4d71-94ce-2ea4cf197e54","metadata":{},"outputs":[],"source":["import os\n","\n","import openai\n","from dotenv import find_dotenv, load_dotenv\n","\n","# 读取本地/项目的环境变量。\n","\n","# find_dotenv()寻找并定位.env文件的路径\n","# load_dotenv()读取该.env文件，并将其中的环境变量加载到当前的运行环境中\n","# 如果你设置的是全局的环境变量，这行代码则没有任何作用。\n","_ = load_dotenv(find_dotenv())\n","\n","# 获取环境变量 OPENAI_API_KEY\n","openai.api_key = os.environ[\"OPENAI_API_KEY\"]"]},{"cell_type":"markdown","id":"1297dcd5","metadata":{"tags":[]},"source":["## 二、对话缓存储存\n","  "]},{"cell_type":"markdown","id":"ffa8cd26-45c5-4bae-90b2-b07d23bf3bb2","metadata":{},"source":["### 2.1 英文版"]},{"cell_type":"markdown","id":"b7e77a3d-7aaa-48c1-b219-19bd6f4eb674","metadata":{"tags":[]},"source":["#### 2.1.1 初始化对话模型"]},{"cell_type":"code","execution_count":2,"id":"20ad6fe2","metadata":{"height":98},"outputs":[],"source":["from langchain.chains.conversation.base import ConversationChain\n","from langchain_community.chat_models import ChatOpenAI\n","from langchain.memory import ConversationBufferMemory"]},{"cell_type":"code","execution_count":3,"id":"88bdf13d","metadata":{"height":133},"outputs":[{"name":"stderr","output_type":"stream","text":["/Users/lta/anaconda3/envs/cookbook/lib/python3.10/site-packages/langchain_core/_api/deprecation.py:119: LangChainDeprecationWarning: The class `ChatOpenAI` was deprecated in LangChain 0.0.10 and will be removed in 0.3.0. An updated version of the class exists in the langchain-openai package and should be used instead. To use it run `pip install -U langchain-openai` and import as `from langchain_openai import ChatOpenAI`.\n","  warn_deprecated(\n"]}],"source":["# 这里我们将参数temperature设置为0.0，从而减少生成答案的随机性。\n","# 如果你想要每次得到不一样的有新意的答案，可以尝试增大该参数。\n","llm = ChatOpenAI(temperature=0.0) \n","\n","memory = ConversationBufferMemory()\n","\n","# 新建一个 ConversationChain Class 实例\n","# verbose参数设置为True时，程序会输出更详细的信息，以提供更多的调试或运行时信息。\n","# 相反，当将verbose参数设置为False时，程序会以更简洁的方式运行，只输出关键的信息。\n","conversation = ConversationChain(llm=llm, memory = memory, verbose=True )"]},{"cell_type":"markdown","id":"dea83837","metadata":{"tags":[]},"source":["#### 2.1.2 第一轮对话"]},{"cell_type":"markdown","id":"1a3b4c42","metadata":{},"source":["当我们运行预测(<font style=\"font-family:verdana; font-size:13.5px;color:#0055AA\">predict</font>)时，生成了一些提示，如下所见，他说“以下是人类和AI之间友好的对话，AI健谈“等等，这实际上是LangChain生成的提示，以使系统进行希望和友好的对话，并且必须保存对话，并提示了当前已完成的模型链。"]},{"cell_type":"code","execution_count":4,"id":"db24677d","metadata":{"height":47},"outputs":[{"name":"stdout","output_type":"stream","text":["\n","\n","\u001b[1m> Entering new ConversationChain chain...\u001b[0m\n","Prompt after formatting:\n","\u001b[32;1m\u001b[1;3mThe following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.\n","\n","Current conversation:\n","\n","Human: Hi, my name is Andrew\n","AI:\u001b[0m\n","\n","\u001b[1m> Finished chain.\u001b[0m\n"]},{"data":{"text/plain":["\"Hello Andrew! It's nice to meet you. How can I assist you today?\""]},"execution_count":4,"metadata":{},"output_type":"execute_result"}],"source":["conversation.predict(input=\"Hi, my name is Andrew\")"]},{"cell_type":"markdown","id":"e71564ad","metadata":{},"source":["#### 2.1.3 第二轮对话"]},{"cell_type":"markdown","id":"54d006bd","metadata":{},"source":["当我们进行第二轮对话时，它会保留上面的提示"]},{"cell_type":"code","execution_count":5,"id":"cc3ef937","metadata":{"height":31},"outputs":[{"name":"stdout","output_type":"stream","text":["\n","\n","\u001b[1m> Entering new ConversationChain chain...\u001b[0m\n","Prompt after formatting:\n","\u001b[32;1m\u001b[1;3mThe following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.\n","\n","Current conversation:\n","Human: Hi, my name is Andrew\n","AI: Hello Andrew! It's nice to meet you. How can I assist you today?\n","Human: What is 1+1?\n","AI:\u001b[0m\n","\n","\u001b[1m> Finished chain.\u001b[0m\n"]},{"data":{"text/plain":["'1 + 1 equals 2. Is there anything else you would like to know?'"]},"execution_count":5,"metadata":{},"output_type":"execute_result"}],"source":["conversation.predict(input=\"What is 1+1?\")"]},{"cell_type":"markdown","id":"33cb734b","metadata":{},"source":["#### 2.1.4 第三轮对话"]},{"cell_type":"markdown","id":"0393df3d","metadata":{},"source":["为了验证他是否记忆了前面的对话内容，我们让他回答前面已经说过的内容（我的名字），可以看到他确实输出了正确的名字，因此这个对话链随着往下进行会越来越长"]},{"cell_type":"code","execution_count":6,"id":"acf3339a","metadata":{"height":31},"outputs":[{"name":"stdout","output_type":"stream","text":["\n","\n","\u001b[1m> Entering new ConversationChain chain...\u001b[0m\n","Prompt after formatting:\n","\u001b[32;1m\u001b[1;3mThe following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.\n","\n","Current conversation:\n","Human: Hi, my name is Andrew\n","AI: Hello Andrew! It's nice to meet you. How can I assist you today?\n","Human: What is 1+1?\n","AI: 1 + 1 equals 2. Is there anything else you would like to know?\n","Human: What is my name?\n","AI:\u001b[0m\n","\n","\u001b[1m> Finished chain.\u001b[0m\n"]},{"data":{"text/plain":["'Your name is Andrew.'"]},"execution_count":6,"metadata":{},"output_type":"execute_result"}],"source":["conversation.predict(input=\"What is my name?\")"]},{"cell_type":"markdown","id":"5a96a8d9","metadata":{},"source":["#### 2.1.5 查看储存缓存\n","\n","储存缓存(<font style=\"font-family:verdana; font-size:13.5px\">memory.</font><font style=\"font-family:verdana; font-size:13.5px;color:#0055AA\">buffer</font>)\n","储存了当前为止所有的对话信息"]},{"cell_type":"code","execution_count":7,"id":"2529400d","metadata":{"height":31},"outputs":[{"name":"stdout","output_type":"stream","text":["Human: Hi, my name is Andrew\n","AI: Hello Andrew! It's nice to meet you. How can I assist you today?\n","Human: What is 1+1?\n","AI: 1 + 1 equals 2. Is there anything else you would like to know?\n","Human: What is my name?\n","AI: Your name is Andrew.\n"]}],"source":["print(memory.buffer) "]},{"cell_type":"markdown","id":"0b5de846","metadata":{},"source":["也可以通过<font style=\"font-family:verdana; font-size:13.5px\">memory.</font><font style=\"font-family:verdana; font-size:13.5px;color:#0055AA\">load_memory_variables</font><font style=\"font-family:verdana; font-size:13.5px\">({})</font>打印缓存中的历史消息。这里的`{}`是一个空字典，有一些更高级的功能，使用户可以使用更复杂的输入，但我们不会在这个短期课程中讨论它们，所以不要担心为什么这里有一个空的花括号。"]},{"cell_type":"code","execution_count":8,"id":"5018cb0a","metadata":{"height":31},"outputs":[{"name":"stdout","output_type":"stream","text":["{'history': \"Human: Hi, my name is Andrew\\nAI: Hello Andrew! It's nice to meet you. How can I assist you today?\\nHuman: What is 1+1?\\nAI: 1 + 1 equals 2. Is there anything else you would like to know?\\nHuman: What is my name?\\nAI: Your name is Andrew.\"}\n"]}],"source":["print(memory.load_memory_variables({}))"]},{"cell_type":"markdown","id":"07d2e892","metadata":{},"source":["#### 2.1.6 直接添加内容到储存缓存"]},{"cell_type":"code","execution_count":9,"id":"14219b70","metadata":{"height":31},"outputs":[],"source":["memory = ConversationBufferMemory()  # 新建一个空的对话缓存记忆"]},{"cell_type":"code","execution_count":10,"id":"a36e9905","metadata":{"height":48},"outputs":[],"source":["memory.save_context({\"input\": \"Hi\"}, {\"output\": \"What's up\"})  # 向缓存区添加指定对话的输入输出"]},{"cell_type":"code","execution_count":11,"id":"61631b1f","metadata":{"height":31},"outputs":[{"name":"stdout","output_type":"stream","text":["Human: Hi\n","AI: What's up\n"]}],"source":["print(memory.buffer)  # 查看缓存区结果"]},{"cell_type":"code","execution_count":12,"id":"a2fdf9ec","metadata":{"height":31},"outputs":[{"name":"stdout","output_type":"stream","text":["{'history': \"Human: Hi\\nAI: What's up\"}\n"]}],"source":["print(memory.load_memory_variables({}))# 再次加载记忆变量"]},{"cell_type":"markdown","id":"2ac544f2","metadata":{},"source":["继续添加新的内容，对话历史都保存下来在了！"]},{"cell_type":"code","execution_count":13,"id":"7ca79256","metadata":{"height":64},"outputs":[],"source":["memory.save_context({\"input\": \"Not much, just hanging\"}, {\"output\": \"Cool\"})"]},{"cell_type":"code","execution_count":14,"id":"890a4497","metadata":{"height":31},"outputs":[{"data":{"text/plain":["{'history': \"Human: Hi\\nAI: What's up\\nHuman: Not much, just hanging\\nAI: Cool\"}"]},"execution_count":14,"metadata":{},"output_type":"execute_result"}],"source":["memory.load_memory_variables({})"]},{"cell_type":"markdown","id":"6eddd91a-bf1c-4b82-b99c-c585420e4ecb","metadata":{},"source":["### 2.2 中文版"]},{"cell_type":"markdown","id":"55b3e4e9-7a6a-4a09-9ac3-0096a67849c7","metadata":{},"source":["#### 2.1.1 初始化对话模型"]},{"cell_type":"code","execution_count":15,"id":"3577aaff-7edb-40b0-866a-e407e63d55e0","metadata":{"height":98},"outputs":[],"source":["from langchain.chains.conversation.base import ConversationChain\n","from langchain_community.chat_models import ChatOpenAI\n","from langchain.memory import ConversationBufferMemory"]},{"cell_type":"code","execution_count":16,"id":"a77d37ab-1f75-4ae8-8d7c-5066773ead81","metadata":{"height":133},"outputs":[],"source":["llm = ChatOpenAI(temperature=0.0)  \n","\n","memory = ConversationBufferMemory()\n","\n","conversation = ConversationChain(llm=llm, memory = memory, verbose=True )"]},{"cell_type":"markdown","id":"747cb539-abc4-4e47-8cb9-1ee608ab07fc","metadata":{},"source":["#### 2.1.2 第一轮对话"]},{"cell_type":"code","execution_count":17,"id":"99e48462-7a92-4842-bdaa-2a478ba2252c","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["\n","\n","\u001b[1m> Entering new ConversationChain chain...\u001b[0m\n","Prompt after formatting:\n","\u001b[32;1m\u001b[1;3mThe following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.\n","\n","Current conversation:\n","\n","Human: 你好, 我叫皮皮鲁\n","AI:\u001b[0m\n","\n","\u001b[1m> Finished chain.\u001b[0m\n"]},{"data":{"text/plain":["' 你好皮皮鲁！我是一个人工智能助手，很高兴认识你。你有什么问题想问我吗？'"]},"execution_count":17,"metadata":{},"output_type":"execute_result"}],"source":["conversation.predict(input=\"你好, 我叫皮皮鲁\")"]},{"cell_type":"markdown","id":"979d320b-6b20-4722-99db-c48a43711d6c","metadata":{},"source":["#### 2.1.3 第二轮对话"]},{"cell_type":"code","execution_count":18,"id":"6ed6e97a-d7ea-4188-a6d7-f91d2a29d14a","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["\n","\n","\u001b[1m> Entering new ConversationChain chain...\u001b[0m\n","Prompt after formatting:\n","\u001b[32;1m\u001b[1;3mThe following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.\n","\n","Current conversation:\n","Human: 你好, 我叫皮皮鲁\n","AI:  你好皮皮鲁！我是一个人工智能助手，很高兴认识你。你有什么问题想问我吗？\n","Human: 1+1等于多少？\n","AI:\u001b[0m\n","\n","\u001b[1m> Finished chain.\u001b[0m\n"]},{"data":{"text/plain":["'1加1等于2。这是一个基本的数学问题，答案是2。你还有其他问题吗？我可以帮助你解答。'"]},"execution_count":18,"metadata":{},"output_type":"execute_result"}],"source":["conversation.predict(input=\"1+1等于多少？\")"]},{"cell_type":"markdown","id":"8a1fd531-216e-42d8-b226-839747ad7dd3","metadata":{},"source":["#### 2.1.4 第三轮对话"]},{"cell_type":"code","execution_count":19,"id":"b5dfe488-2758-42c7-9c20-e483b4c22ab8","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["\n","\n","\u001b[1m> Entering new ConversationChain chain...\u001b[0m\n","Prompt after formatting:\n","\u001b[32;1m\u001b[1;3mThe following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.\n","\n","Current conversation:\n","Human: 你好, 我叫皮皮鲁\n","AI:  你好皮皮鲁！我是一个人工智能助手，很高兴认识你。你有什么问题想问我吗？\n","Human: 1+1等于多少？\n","AI: 1加1等于2。这是一个基本的数学问题，答案是2。你还有其他问题吗？我可以帮助你解答。\n","Human: 我叫什么名字？\n","AI:\u001b[0m\n","\n","\u001b[1m> Finished chain.\u001b[0m\n"]},{"data":{"text/plain":["'抱歉，我不知道你的名字。你可以告诉我吗？我会记住的。'"]},"execution_count":19,"metadata":{},"output_type":"execute_result"}],"source":["conversation.predict(input=\"我叫什么名字？\")"]},{"cell_type":"markdown","id":"05d9822e-943d-4905-a1f8-a0d28c215d60","metadata":{},"source":["#### 2.1.5 查看储存缓存"]},{"cell_type":"code","execution_count":20,"id":"0795580f-b6b6-47e0-8882-26fe204560bd","metadata":{"height":31},"outputs":[{"name":"stdout","output_type":"stream","text":["Human: 你好, 我叫皮皮鲁\n","AI:  你好皮皮鲁！我是一个人工智能助手，很高兴认识你。你有什么问题想问我吗？\n","Human: 1+1等于多少？\n","AI: 1加1等于2。这是一个基本的数学问题，答案是2。你还有其他问题吗？我可以帮助你解答。\n","Human: 我叫什么名字？\n","AI: 抱歉，我不知道你的名字。你可以告诉我吗？我会记住的。\n"]}],"source":["print(memory.buffer) "]},{"cell_type":"code","execution_count":21,"id":"dfe7824f-bd6e-4b95-92e2-1c85c62a92e9","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["Human: 你好, 我叫皮皮鲁\n","AI:  你好皮皮鲁！我是一个人工智能助手，很高兴认识你。你有什么问题想问我吗？\n","Human: 1+1等于多少？\n","AI: 1加1等于2。这是一个基本的数学问题，答案是2。你还有其他问题吗？我可以帮助你解答。\n","Human: 我叫什么名字？\n","AI: 抱歉，我不知道你的名字。你可以告诉我吗？我会记住的。\n"]}],"source":["print(memory.buffer)  "]},{"cell_type":"code","execution_count":22,"id":"48942759-8afb-4aed-80c5-a48952a2b0c0","metadata":{"height":31},"outputs":[{"name":"stdout","output_type":"stream","text":["{'history': 'Human: 你好, 我叫皮皮鲁\\nAI:  你好皮皮鲁！我是一个人工智能助手，很高兴认识你。你有什么问题想问我吗？\\nHuman: 1+1等于多少？\\nAI: 1加1等于2。这是一个基本的数学问题，答案是2。你还有其他问题吗？我可以帮助你解答。\\nHuman: 我叫什么名字？\\nAI: 抱歉，我不知道你的名字。你可以告诉我吗？我会记住的。'}\n"]}],"source":["print(memory.load_memory_variables({}))"]},{"cell_type":"code","execution_count":23,"id":"4d0c4625-e928-45dc-b8da-4ab865ac5f7e","metadata":{},"outputs":[{"data":{"text/plain":["{'history': 'Human: 你好, 我叫皮皮鲁\\nAI:  你好皮皮鲁！我是一个人工智能助手，很高兴认识你。你有什么问题想问我吗？\\nHuman: 1+1等于多少？\\nAI: 1加1等于2。这是一个基本的数学问题，答案是2。你还有其他问题吗？我可以帮助你解答。\\nHuman: 我叫什么名字？\\nAI: 抱歉，我不知道你的名字。你可以告诉我吗？我会记住的。'}"]},"execution_count":23,"metadata":{},"output_type":"execute_result"}],"source":["memory.load_memory_variables({})"]},{"cell_type":"markdown","id":"80f3778e-5fbf-43ed-9df1-d57d98ec6fb0","metadata":{},"source":["#### 2.1.6 直接添加内容到储存缓存"]},{"cell_type":"code","execution_count":24,"id":"147b2c30-1662-4b49-aaf8-c228428e5cc6","metadata":{},"outputs":[{"data":{"text/plain":["{'history': 'Human: 你好，我叫皮皮鲁\\nAI: 你好啊，我叫鲁西西'}"]},"execution_count":24,"metadata":{},"output_type":"execute_result"}],"source":["memory = ConversationBufferMemory()\n","memory.save_context({\"input\": \"你好，我叫皮皮鲁\"}, {\"output\": \"你好啊，我叫鲁西西\"})\n","memory.load_memory_variables({})"]},{"cell_type":"code","execution_count":25,"id":"6b5e27f0-dad7-41b6-9326-bebf6299638f","metadata":{"height":64},"outputs":[],"source":["memory.save_context({\"input\": \"Not much, just hanging\"}, {\"output\": \"Cool\"})"]},{"cell_type":"code","execution_count":26,"id":"cfa7c555-06ab-4906-b3dc-906f789e08f5","metadata":{"height":31},"outputs":[{"data":{"text/plain":["{'history': 'Human: 你好，我叫皮皮鲁\\nAI: 你好啊，我叫鲁西西\\nHuman: Not much, just hanging\\nAI: Cool'}"]},"execution_count":26,"metadata":{},"output_type":"execute_result"}],"source":["memory.load_memory_variables({})"]},{"cell_type":"code","execution_count":27,"id":"deb33de8-37ea-4180-a73e-0fc456b14eb0","metadata":{},"outputs":[{"data":{"text/plain":["{'history': 'Human: 你好，我叫皮皮鲁\\nAI: 你好啊，我叫鲁西西\\nHuman: Not much, just hanging\\nAI: Cool\\nHuman: 很高兴和你成为朋友！\\nAI: 是的，让我们一起去冒险吧！'}"]},"execution_count":27,"metadata":{},"output_type":"execute_result"}],"source":["memory.save_context({\"input\": \"很高兴和你成为朋友！\"}, {\"output\": \"是的，让我们一起去冒险吧！\"})\n","memory.load_memory_variables({})"]},{"cell_type":"markdown","id":"10146f1a-0114-4902-8122-d19ae6f7c461","metadata":{},"source":["### 2.3 总结"]},{"cell_type":"markdown","id":"2759b6bc-edb2-4cfe-b0f8-1bf6c4d796f9","metadata":{},"source":["当我们在使用大型语言模型进行聊天对话时，**大型语言模型本身实际上是无状态的。语言模型本身并不记得到目前为止的历史对话**。每次调用API结点都是独立的。储存(Memory)可以储存到目前为止的所有术语或对话，并将其输入或附加上下文到LLM中用于生成输出。如此看起来就好像它在进行下一轮对话的时候，记得之前说过什么。\n"]},{"cell_type":"markdown","id":"cf98e9ff","metadata":{},"source":["## 三、对话缓存窗口储存\n","  \n","随着对话变得越来越长，所需的内存量也变得非常长。将大量的tokens发送到LLM的成本，也会变得更加昂贵,这也就是为什么API的调用费用，通常是基于它需要处理的tokens数量而收费的。\n","  \n","针对以上问题，LangChain也提供了几种方便的储存方式来保存历史对话。其中，对话缓存窗口储存只保留一个窗口大小的对话。它只使用最近的n次交互。这可以用于保持最近交互的滑动窗口，以便缓冲区不会过大"]},{"cell_type":"markdown","id":"b63c9061-9916-4524-b497-93a0aa2b7d06","metadata":{},"source":["### 3.1 英文版"]},{"cell_type":"markdown","id":"641477a4","metadata":{},"source":["#### 3.1.1 添加两轮对话到窗口储存"]},{"cell_type":"code","execution_count":28,"id":"3ea6233e","metadata":{"height":47},"outputs":[],"source":["from langchain.memory import ConversationBufferWindowMemory\n","\n","# k 为窗口参数，k=1表明只保留一个对话记忆\n","memory = ConversationBufferWindowMemory(k=1)  "]},{"cell_type":"code","execution_count":29,"id":"dc4553fb","metadata":{"height":115},"outputs":[],"source":["# 向memory添加两轮对话\n","memory.save_context({\"input\": \"Hi\"}, {\"output\": \"What's up\"})\n","memory.save_context({\"input\": \"Not much, just hanging\"}, {\"output\": \"Cool\"})"]},{"cell_type":"code","execution_count":30,"id":"6a788403","metadata":{"height":31},"outputs":[{"data":{"text/plain":["{'history': 'Human: Not much, just hanging\\nAI: Cool'}"]},"execution_count":30,"metadata":{},"output_type":"execute_result"}],"source":["# 并查看记忆变量当前的记录\n","memory.load_memory_variables({})"]},{"cell_type":"markdown","id":"63bda148","metadata":{},"source":["#### 3.1.2 在对话链中应用窗口储存"]},{"cell_type":"code","execution_count":31,"id":"4087bc87","metadata":{"height":133},"outputs":[],"source":["llm = ChatOpenAI(temperature=0.0)\n","memory = ConversationBufferWindowMemory(k=1)\n","conversation = ConversationChain(llm=llm, memory=memory, verbose=False  )"]},{"cell_type":"markdown","id":"b6d661e3","metadata":{},"source":["注意此处！由于这里用的是一个窗口的记忆，因此只能保存一轮的历史消息，因此AI并不能知道你第一轮对话中提到的名字，他最多只能记住上一轮（第二轮）的对话信息"]},{"cell_type":"code","execution_count":32,"id":"4faaa952","metadata":{"height":47},"outputs":[{"data":{"text/plain":["\"Hello Andrew! It's nice to meet you. How can I assist you today?\""]},"execution_count":32,"metadata":{},"output_type":"execute_result"}],"source":["conversation.predict(input=\"Hi, my name is Andrew\")"]},{"cell_type":"code","execution_count":33,"id":"bb20ddaa","metadata":{"height":31},"outputs":[{"data":{"text/plain":["'1+1 equals 2. Is there anything else you would like to know?'"]},"execution_count":33,"metadata":{},"output_type":"execute_result"}],"source":["conversation.predict(input=\"What is 1+1?\")"]},{"cell_type":"code","execution_count":34,"id":"489b2194","metadata":{"height":31},"outputs":[{"data":{"text/plain":["\"I'm sorry, I do not have access to personal information such as your name. Is there anything else you would like to ask?\""]},"execution_count":34,"metadata":{},"output_type":"execute_result"}],"source":["conversation.predict(input=\"What is my name?\")"]},{"cell_type":"markdown","id":"88837e7c-cf4b-469e-b820-bbfc49ba876c","metadata":{},"source":["### 3.2 中文版"]},{"cell_type":"markdown","id":"760ec3ad-6959-4a36-b1b5-4fcafe8088ad","metadata":{},"source":["#### 3.1.1 添加两轮对话到窗口储存"]},{"cell_type":"code","execution_count":35,"id":"68a2907c","metadata":{},"outputs":[{"data":{"text/plain":["{'history': 'Human: 很高兴和你成为朋友！\\nAI: 是的，让我们一起去冒险吧！'}"]},"execution_count":35,"metadata":{},"output_type":"execute_result"}],"source":["from langchain.memory import ConversationBufferWindowMemory\n","\n","# k=1表明只保留一个对话记忆\n","memory = ConversationBufferWindowMemory(k=1)  \n","memory.save_context({\"input\": \"你好，我叫皮皮鲁\"}, {\"output\": \"你好啊，我叫鲁西西\"})\n","memory.save_context({\"input\": \"很高兴和你成为朋友！\"}, {\"output\": \"是的，让我们一起去冒险吧！\"})\n","memory.load_memory_variables({})"]},{"cell_type":"markdown","id":"dcabf017-5bfd-4904-9f06-388f994eddc9","metadata":{},"source":["#### 3.1.2 在对话链中应用窗口储存"]},{"cell_type":"code","execution_count":36,"id":"1ee854d9","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":[" 你好，皮皮鲁！很高兴认识你。我是一个人工智能助手，可以回答你的问题或者和你聊天。有什么我可以帮助你的吗？\n","1加1等于2。这是一个基本的数学问题，答案是2。如果你有任何其他数学问题，都可以问我哦！\n","抱歉，我不知道你的名字。我只是一个AI程序，无法获取你的个人信息。如果你有其他问题，我会尽力回答的哦！\n"]}],"source":["llm = ChatOpenAI(temperature=0.0)\n","memory = ConversationBufferWindowMemory(k=1)\n","conversation = ConversationChain(llm=llm, memory=memory, verbose=False  )\n","print(conversation.predict(input=\"你好, 我叫皮皮鲁\"))\n","print(conversation.predict(input=\"1+1等于多少？\"))\n","print(conversation.predict(input=\"我叫什么名字？\"))"]},{"cell_type":"markdown","id":"d2931b92","metadata":{},"source":["## 四、对话token缓存储存"]},{"cell_type":"markdown","id":"dff5b4c7","metadata":{},"source":["使用对话token缓存记忆，内存将限制保存的token数量。如果token数量超出指定数目，它会切掉这个对话的早期部分\n","以保留与最近的交流相对应的token数量，但不超过token限制。"]},{"cell_type":"code","execution_count":37,"id":"fb9020ed","metadata":{"height":81},"outputs":[],"source":["from langchain.memory import ConversationTokenBufferMemory"]},{"cell_type":"markdown","id":"f3a84112","metadata":{},"source":["### 4.1 英文版\n","添加对话到Token缓存储存,限制token数量，进行测试"]},{"cell_type":"code","execution_count":38,"id":"43582ee6","metadata":{"height":149},"outputs":[],"source":["memory = ConversationTokenBufferMemory(llm=llm, max_token_limit=30)\n","memory.save_context({\"input\": \"AI is what?!\"}, {\"output\": \"Amazing!\"})\n","memory.save_context({\"input\": \"Backpropagation is what?\"}, {\"output\": \"Beautiful!\"})\n","memory.save_context({\"input\": \"Chatbots are what?\"}, {\"output\": \"Charming!\"})"]},{"cell_type":"code","execution_count":39,"id":"284288e1","metadata":{"height":31},"outputs":[{"data":{"text/plain":["{'history': 'AI: Beautiful!\\nHuman: Chatbots are what?\\nAI: Charming!'}"]},"execution_count":39,"metadata":{},"output_type":"execute_result"}],"source":["memory.load_memory_variables({})"]},{"cell_type":"markdown","id":"7b62b2e1","metadata":{},"source":["可以看到前面超出的的token已经被舍弃了！！！"]},{"cell_type":"markdown","id":"f7f6be43","metadata":{},"source":["### 4.2 中文版"]},{"cell_type":"code","execution_count":40,"id":"e9191020","metadata":{},"outputs":[{"data":{"text/plain":["{'history': 'AI: 轻舟已过万重山。'}"]},"execution_count":40,"metadata":{},"output_type":"execute_result"}],"source":["memory = ConversationTokenBufferMemory(llm=llm, max_token_limit=30)\n","memory.save_context({\"input\": \"朝辞白帝彩云间，\"}, {\"output\": \"千里江陵一日还。\"})\n","memory.save_context({\"input\": \"两岸猿声啼不住，\"}, {\"output\": \"轻舟已过万重山。\"})\n","memory.load_memory_variables({})"]},{"cell_type":"markdown","id":"fb08ef4a-876f-422a-81f9-4805288e5955","metadata":{},"source":["### 4.3 补充"]},{"cell_type":"markdown","id":"5e4d918b","metadata":{},"source":["ChatGPT使用一种基于字节对编码（Byte Pair Encoding，BPE）的方法来进行tokenization（将输入文本拆分为token）。BPE是一种常见的tokenization技术，它将输入文本分割成较小的子词单元。 \n","\n","OpenAI在其官方GitHub上公开了一个最新的开源Python库 [tiktoken](https://github.com/openai/tiktoken)，这个库主要是用来计算tokens数量的。相比较HuggingFace的tokenizer，其速度提升了好几倍。\n","\n","具体token计算方式,特别是汉字和英文单词的token区别，具体课参考[知乎文章](https://www.zhihu.com/question/594159910) 。"]},{"cell_type":"markdown","id":"5ff55d5d","metadata":{},"source":["## 五、对话摘要缓存储存"]},{"cell_type":"markdown","id":"7d39b83a","metadata":{},"source":["对话摘要缓存储存，**使用LLM编写到目前为止历史对话的摘要**，并将其保存"]},{"cell_type":"code","execution_count":41,"id":"72dcf8b1","metadata":{"height":64},"outputs":[],"source":["from langchain.memory import ConversationSummaryBufferMemory"]},{"cell_type":"markdown","id":"243b213e-ce17-46a0-8652-03658ca58dd8","metadata":{},"source":["### 5.1 英文版"]},{"cell_type":"markdown","id":"6572ef39","metadata":{},"source":["#### 5.1.1 使用对话摘要缓存储存\n","\n","创建一个长字符串，其中包含某人的日程安排"]},{"cell_type":"code","execution_count":42,"id":"4a5b238f","metadata":{"height":285},"outputs":[],"source":["# 创建一个长字符串\n","schedule = \"There is a meeting at 8am with your product team. \\\n","You will need your powerpoint presentation prepared. \\\n","9am-12pm have time to work on your LangChain \\\n","project which will go quickly because Langchain is such a powerful tool. \\\n","At Noon, lunch at the italian resturant with a customer who is driving \\\n","from over an hour away to meet you to understand the latest in AI. \\\n","Be sure to bring your laptop to show the latest LLM demo.\"\n","\n","# 使用对话摘要缓存记忆\n","llm = ChatOpenAI(temperature=0.0)\n","memory = ConversationSummaryBufferMemory(llm=llm, max_token_limit=100) \n","memory.save_context({\"input\": \"Hello\"}, {\"output\": \"What's up\"})\n","memory.save_context({\"input\": \"Not much, just hanging\"}, {\"output\": \"Cool\"})\n","memory.save_context(\n","    {\"input\": \"What is on the schedule today?\"}, {\"output\": f\"{schedule}\"}\n",")"]},{"cell_type":"code","execution_count":43,"id":"15226a41-ab36-43a0-93f7-c03c6b374936","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["System: The human and AI exchange greetings and discuss the day's schedule, including a meeting with the product team, work on the LangChain project, and a lunch meeting with a customer interested in AI. The AI emphasizes the power of LangChain as a tool.\n"]}],"source":["print(memory.load_memory_variables({})['history'])"]},{"cell_type":"markdown","id":"7ccb97b6","metadata":{},"source":["#### 5.1.2 基于对话摘要缓存储存的对话链\n","基于上面的对话摘要缓存储存，新建一个对话链"]},{"cell_type":"code","execution_count":44,"id":"6728edba","metadata":{"height":99},"outputs":[],"source":["conversation = ConversationChain(llm=llm, memory=memory, verbose=True)"]},{"cell_type":"code","execution_count":45,"id":"9a221b1d","metadata":{"height":47},"outputs":[{"name":"stdout","output_type":"stream","text":["\n","\n","\u001b[1m> Entering new ConversationChain chain...\u001b[0m\n","Prompt after formatting:\n","\u001b[32;1m\u001b[1;3mThe following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.\n","\n","Current conversation:\n","System: The human and AI exchange greetings and discuss the day's schedule, including a meeting with the product team, work on the LangChain project, and a lunch meeting with a customer interested in AI. The AI emphasizes the power of LangChain as a tool.\n","Human: What would be a good demo to show?\n","AI:\u001b[0m\n","\n","\u001b[1m> Finished chain.\u001b[0m\n"]},{"data":{"text/plain":["'A good demo to show would be a live demonstration of how LangChain can accurately translate complex technical documents from one language to another in real-time. This would showcase the speed, accuracy, and efficiency of the language processing capabilities of LangChain. Additionally, demonstrating how LangChain can seamlessly integrate with other AI tools and platforms would highlight its versatility and compatibility with existing systems.'"]},"execution_count":45,"metadata":{},"output_type":"execute_result"}],"source":["conversation.predict(input=\"What would be a good demo to show?\")"]},{"cell_type":"code","execution_count":46,"id":"bb582617","metadata":{"height":31},"outputs":[{"name":"stdout","output_type":"stream","text":["System: The human and AI exchange greetings and discuss the day's schedule, including a meeting with the product team, work on the LangChain project, and a lunch meeting with a customer interested in AI. The AI emphasizes the power of LangChain as a tool.\n","Human: What would be a good demo to show?\n","AI: A good demo to show would be a live demonstration of how LangChain can accurately translate complex technical documents from one language to another in real-time. This would showcase the speed, accuracy, and efficiency of the language processing capabilities of LangChain. Additionally, demonstrating how LangChain can seamlessly integrate with other AI tools and platforms would highlight its versatility and compatibility with existing systems.\n"]}],"source":["print(memory.load_memory_variables({})['history'])"]},{"cell_type":"markdown","id":"4ba827aa","metadata":{"height":31},"source":["### 5.2 中文版"]},{"cell_type":"markdown","id":"64898f33-c538-4e68-b008-7123870b692b","metadata":{},"source":["#### 5.2.1 使用对话摘要缓存储存\n","\n","创建一个长字符串，其中包含某人的日程安排"]},{"cell_type":"code","execution_count":47,"id":"2c07922b","metadata":{"height":31},"outputs":[],"source":["# 创建一个长字符串\n","schedule = \"在八点你和你的产品团队有一个会议。 \\\n","你需要做一个PPT。 \\\n","上午9点到12点你需要忙于LangChain。\\\n","Langchain是一个有用的工具，因此你的项目进展的非常快。\\\n","中午，在意大利餐厅与一位开车来的顾客共进午餐 \\\n","走了一个多小时的路程与你见面，只为了解最新的 AI。 \\\n","确保你带了笔记本电脑可以展示最新的 LLM 样例.\"\n","\n","llm = ChatOpenAI(temperature=0.0)\n","memory = ConversationSummaryBufferMemory(llm=llm, max_token_limit=100)\n","memory.save_context({\"input\": \"你好，我叫皮皮鲁\"}, {\"output\": \"你好啊，我叫鲁西西\"})\n","memory.save_context({\"input\": \"很高兴和你成为朋友！\"}, {\"output\": \"是的，让我们一起去冒险吧！\"})\n","memory.save_context({\"input\": \"今天的日程安排是什么？\"}, {\"output\": f\"{schedule}\"})"]},{"cell_type":"code","execution_count":48,"id":"17424a12-430f-4529-9067-300978c6169e","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["System: The human and AI introduce themselves in Chinese and become friends. They plan their schedule for the day, including a meeting with the product team, working on LangChain, and having lunch with a customer interested in AI. The AI emphasizes the importance of being prepared to showcase the latest LLM examples.\n"]}],"source":["print(memory.load_memory_variables({})['history'])"]},{"cell_type":"markdown","id":"9e29a956-607a-4247-9eb5-01285a370991","metadata":{},"source":["#### 5.1.2 基于对话摘要缓存储存的对话链\n","基于上面的对话摘要缓存储存，新建一个对话链"]},{"cell_type":"code","execution_count":49,"id":"52696c8c","metadata":{"height":31},"outputs":[],"source":["conversation = ConversationChain(llm=llm, memory=memory, verbose=True)"]},{"cell_type":"code","execution_count":50,"id":"48690d13","metadata":{"height":31},"outputs":[{"name":"stdout","output_type":"stream","text":["\n","\n","\u001b[1m> Entering new ConversationChain chain...\u001b[0m\n","Prompt after formatting:\n","\u001b[32;1m\u001b[1;3mThe following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.\n","\n","Current conversation:\n","System: The human and AI introduce themselves in Chinese and become friends. They plan their schedule for the day, including a meeting with the product team, working on LangChain, and having lunch with a customer interested in AI. The AI emphasizes the importance of being prepared to showcase the latest LLM examples.\n","Human: 展示什么样的样例最好呢？\n","AI:\u001b[0m\n","\n","\u001b[1m> Finished chain.\u001b[0m\n"]},{"data":{"text/plain":["'最好展示一些具有创新性和实用性的语言模型样例，比如可以展示LangChain在不同语言之间的翻译效果，或者展示其在文本生成和对话系统方面的应用。这样可以让客户更直观地了解LangChain的潜力和优势。'"]},"execution_count":50,"metadata":{},"output_type":"execute_result"}],"source":["conversation.predict(input=\"展示什么样的样例最好呢？\")"]},{"cell_type":"code","execution_count":51,"id":"85bba1f8","metadata":{"height":31},"outputs":[{"data":{"text/plain":["{'history': 'System: The human and AI introduce themselves in Chinese and become friends. They plan their schedule for the day, including a meeting with the product team, working on LangChain, and having lunch with a customer interested in AI. The AI emphasizes the importance of being prepared to showcase the latest LLM examples. The human asks what kind of examples would be best to showcase.\\nAI: 最好展示一些具有创新性和实用性的语言模型样例，比如可以展示LangChain在不同语言之间的翻译效果，或者展示其在文本生成和对话系统方面的应用。这样可以让客户更直观地了解LangChain的潜力和优势。'}"]},"execution_count":51,"metadata":{},"output_type":"execute_result"}],"source":["memory.load_memory_variables({})  # 摘要记录更新了"]}],"metadata":{"kernelspec":{"display_name":"Python 3 (ipykernel)","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.1.-1"},"toc":{"base_numbering":1,"nav_menu":{},"number_sections":false,"sideBar":true,"skip_h1_title":false,"title_cell":"","title_sidebar":"Contents","toc_cell":false,"toc_position":{},"toc_section_display":true,"toc_window_display":true}},"nbformat":4,"nbformat_minor":5}
+{"cells": [{"cell_type": "markdown", "id": "a786c77c", "metadata": {"tags": []}, "source": ["# \u7b2c\u4e09\u7ae0 \u50a8\u5b58\n", "\n", " - [\u4e00\u3001\u8bbe\u7f6eOpenAI API Key](#\u4e00\u3001\u8bbe\u7f6eOpenAI-API-Key)\n", " - [\u4e8c\u3001\u5bf9\u8bdd\u7f13\u5b58\u50a8\u5b58](#\u4e8c\u3001\u5bf9\u8bdd\u7f13\u5b58\u50a8\u5b58)\n", "     - [2.1 \u82f1\u6587\u7248](#2.1-\u82f1\u6587\u7248)\n", "         - [2.1.1 \u521d\u59cb\u5316\u5bf9\u8bdd\u6a21\u578b](#2.1.1-\u521d\u59cb\u5316\u5bf9\u8bdd\u6a21\u578b)\n", "         - [2.1.2 \u7b2c\u4e00\u8f6e\u5bf9\u8bdd](#2.1.2-\u7b2c\u4e00\u8f6e\u5bf9\u8bdd)\n", "         - [2.1.3 \u7b2c\u4e8c\u8f6e\u5bf9\u8bdd](#2.1.3-\u7b2c\u4e8c\u8f6e\u5bf9\u8bdd)\n", "         - [2.1.4 \u7b2c\u4e09\u8f6e\u5bf9\u8bdd](#2.1.4-\u7b2c\u4e09\u8f6e\u5bf9\u8bdd)\n", "         - [2.1.5 \u67e5\u770b\u50a8\u5b58\u7f13\u5b58](#2.1.5-\u67e5\u770b\u50a8\u5b58\u7f13\u5b58)\n", "         - [2.1.6 \u76f4\u63a5\u6dfb\u52a0\u5185\u5bb9\u5230\u50a8\u5b58\u7f13\u5b58](#2.1.6-\u76f4\u63a5\u6dfb\u52a0\u5185\u5bb9\u5230\u50a8\u5b58\u7f13\u5b58)\n", "     - [2.2 \u4e2d\u6587\u7248](#2.2-\u4e2d\u6587\u7248)\n", "         - [2.1.1 \u521d\u59cb\u5316\u5bf9\u8bdd\u6a21\u578b](#2.1.1-\u521d\u59cb\u5316\u5bf9\u8bdd\u6a21\u578b)\n", "         - [2.1.2 \u7b2c\u4e00\u8f6e\u5bf9\u8bdd](#2.1.2-\u7b2c\u4e00\u8f6e\u5bf9\u8bdd)\n", "         - [2.1.3 \u7b2c\u4e8c\u8f6e\u5bf9\u8bdd](#2.1.3-\u7b2c\u4e8c\u8f6e\u5bf9\u8bdd)\n", "         - [2.1.4 \u7b2c\u4e09\u8f6e\u5bf9\u8bdd](#2.1.4-\u7b2c\u4e09\u8f6e\u5bf9\u8bdd)\n", "         - [2.1.5 \u67e5\u770b\u50a8\u5b58\u7f13\u5b58](#2.1.5-\u67e5\u770b\u50a8\u5b58\u7f13\u5b58)\n", "         - [2.1.6 \u76f4\u63a5\u6dfb\u52a0\u5185\u5bb9\u5230\u50a8\u5b58\u7f13\u5b58](#2.1.6-\u76f4\u63a5\u6dfb\u52a0\u5185\u5bb9\u5230\u50a8\u5b58\u7f13\u5b58)\n", "     - [2.3 \u603b\u7ed3](#2.3-\u603b\u7ed3)\n", " - [\u4e09\u3001\u5bf9\u8bdd\u7f13\u5b58\u7a97\u53e3\u50a8\u5b58](#\u4e09\u3001\u5bf9\u8bdd\u7f13\u5b58\u7a97\u53e3\u50a8\u5b58)\n", "     - [3.1 \u82f1\u6587\u7248](#3.1-\u82f1\u6587\u7248)\n", "         - [3.1.1 \u6dfb\u52a0\u4e24\u8f6e\u5bf9\u8bdd\u5230\u7a97\u53e3\u50a8\u5b58](#3.1.1-\u6dfb\u52a0\u4e24\u8f6e\u5bf9\u8bdd\u5230\u7a97\u53e3\u50a8\u5b58)\n", "         - [3.1.2 \u5728\u5bf9\u8bdd\u94fe\u4e2d\u5e94\u7528\u7a97\u53e3\u50a8\u5b58](#3.1.2-\u5728\u5bf9\u8bdd\u94fe\u4e2d\u5e94\u7528\u7a97\u53e3\u50a8\u5b58)\n", "     - [3.2 \u4e2d\u6587\u7248](#3.2-\u4e2d\u6587\u7248)\n", "         - [3.1.1 \u6dfb\u52a0\u4e24\u8f6e\u5bf9\u8bdd\u5230\u7a97\u53e3\u50a8\u5b58](#3.1.1-\u6dfb\u52a0\u4e24\u8f6e\u5bf9\u8bdd\u5230\u7a97\u53e3\u50a8\u5b58)\n", "         - [3.1.2 \u5728\u5bf9\u8bdd\u94fe\u4e2d\u5e94\u7528\u7a97\u53e3\u50a8\u5b58](#3.1.2-\u5728\u5bf9\u8bdd\u94fe\u4e2d\u5e94\u7528\u7a97\u53e3\u50a8\u5b58)\n", " - [\u56db\u3001\u5bf9\u8bddtoken\u7f13\u5b58\u50a8\u5b58](#\u56db\u3001\u5bf9\u8bddtoken\u7f13\u5b58\u50a8\u5b58)\n", "     - [4.1 \u82f1\u6587\u7248](#4.1-\u82f1\u6587\u7248)\n", "     - [4.2 \u4e2d\u6587\u7248](#4.2-\u4e2d\u6587\u7248)\n", "     - [4.3 \u8865\u5145](#4.3-\u8865\u5145)\n", " - [\u4e94\u3001\u5bf9\u8bdd\u6458\u8981\u7f13\u5b58\u50a8\u5b58](#\u4e94\u3001\u5bf9\u8bdd\u6458\u8981\u7f13\u5b58\u50a8\u5b58)\n", "     - [5.1 \u82f1\u6587\u7248](#5.1-\u82f1\u6587\u7248)\n", "         - [5.1.1 \u4f7f\u7528\u5bf9\u8bdd\u6458\u8981\u7f13\u5b58\u50a8\u5b58](#5.1.1-\u4f7f\u7528\u5bf9\u8bdd\u6458\u8981\u7f13\u5b58\u50a8\u5b58)\n", "         - [5.1.2 \u57fa\u4e8e\u5bf9\u8bdd\u6458\u8981\u7f13\u5b58\u50a8\u5b58\u7684\u5bf9\u8bdd\u94fe](#5.1.2-\u57fa\u4e8e\u5bf9\u8bdd\u6458\u8981\u7f13\u5b58\u50a8\u5b58\u7684\u5bf9\u8bdd\u94fe)\n", "     - [5.2 \u4e2d\u6587\u7248](#5.2-\u4e2d\u6587\u7248)\n", "         - [5.2.1 \u4f7f\u7528\u5bf9\u8bdd\u6458\u8981\u7f13\u5b58\u50a8\u5b58](#5.2.1-\u4f7f\u7528\u5bf9\u8bdd\u6458\u8981\u7f13\u5b58\u50a8\u5b58)\n", "         - [5.1.2 \u57fa\u4e8e\u5bf9\u8bdd\u6458\u8981\u7f13\u5b58\u50a8\u5b58\u7684\u5bf9\u8bdd\u94fe](#5.1.2-\u57fa\u4e8e\u5bf9\u8bdd\u6458\u8981\u7f13\u5b58\u50a8\u5b58\u7684\u5bf9\u8bdd\u94fe)\n"]}, {"cell_type": "markdown", "id": "7e10db6f", "metadata": {}, "source": ["\u5f53\u4f60\u4e0e\u90a3\u4e9b\u8bed\u8a00\u6a21\u578b\u8fdb\u884c\u4ea4\u4e92\u7684\u65f6\u5019\uff0c\u4ed6\u4eec\u4e0d\u4f1a\u8bb0\u5f97\u4f60\u4e4b\u524d\u548c\u4ed6\u8fdb\u884c\u7684\u4ea4\u6d41\u5185\u5bb9\uff0c\u8fd9\u5728\u6211\u4eec\u6784\u5efa\u4e00\u4e9b\u5e94\u7528\u7a0b\u5e8f\uff08\u5982\u804a\u5929\u673a\u5668\u4eba\uff09\u7684\u65f6\u5019\uff0c\u662f\u4e00\u4e2a\u5f88\u5927\u7684\u95ee\u9898 -- \u663e\u5f97\u4e0d\u591f\u667a\u80fd\uff01\u56e0\u6b64\uff0c\u5728\u672c\u8282\u4e2d\u6211\u4eec\u5c06\u4ecb\u7ecd LangChain \u4e2d\u7684\u50a8\u5b58\u6a21\u5757\uff0c\u5373\u5982\u4f55\u5c06\u5148\u524d\u7684\u5bf9\u8bdd\u5d4c\u5165\u5230\u8bed\u8a00\u6a21\u578b\u4e2d\u7684\uff0c\u4f7f\u5176\u5177\u6709\u8fde\u7eed\u5bf9\u8bdd\u7684\u80fd\u529b\u3002\n", "\n", "\u5f53\u4f7f\u7528 LangChain \u4e2d\u7684\u50a8\u5b58(Memory)\u6a21\u5757\u65f6\uff0c\u5b83\u53ef\u4ee5\u5e2e\u52a9\u4fdd\u5b58\u548c\u7ba1\u7406\u5386\u53f2\u804a\u5929\u6d88\u606f\uff0c\u4ee5\u53ca\u6784\u5efa\u5173\u4e8e\u7279\u5b9a\u5b9e\u4f53\u7684\u77e5\u8bc6\u3002\u8fd9\u4e9b\u7ec4\u4ef6\u53ef\u4ee5\u8de8\u591a\u8f6e\u5bf9\u8bdd\u50a8\u5b58\u4fe1\u606f\uff0c\u5e76\u5141\u8bb8\u5728\u5bf9\u8bdd\u671f\u95f4\u8ddf\u8e2a\u7279\u5b9a\u4fe1\u606f\u548c\u4e0a\u4e0b\u6587\u3002\n", "\n", "LangChain \u63d0\u4f9b\u4e86\u591a\u79cd\u50a8\u5b58\u7c7b\u578b\u3002\u5176\u4e2d\uff0c\u7f13\u51b2\u533a\u50a8\u5b58\u5141\u8bb8\u4fdd\u7559\u6700\u8fd1\u7684\u804a\u5929\u6d88\u606f\uff0c\u6458\u8981\u50a8\u5b58\u5219\u63d0\u4f9b\u4e86\u5bf9\u6574\u4e2a\u5bf9\u8bdd\u7684\u6458\u8981\u3002\u5b9e\u4f53\u50a8\u5b58 \u5219\u5141\u8bb8\u5728\u591a\u8f6e\u5bf9\u8bdd\u4e2d\u4fdd\u7559\u6709\u5173\u7279\u5b9a\u5b9e\u4f53\u7684\u4fe1\u606f\u3002\u8fd9\u4e9b\u8bb0\u5fc6\u7ec4\u4ef6\u90fd\u662f\u6a21\u5757\u5316\u7684\uff0c\u53ef\u4e0e\u5176\u4ed6\u7ec4\u4ef6\u7ec4\u5408\u4f7f\u7528\uff0c\u4ece\u800c\u589e\u5f3a\u673a\u5668\u4eba\u7684\u5bf9\u8bdd\u7ba1\u7406\u80fd\u529b\u3002\u50a8\u5b58\u6a21\u5757\u53ef\u4ee5\u901a\u8fc7\u7b80\u5355\u7684API\u8c03\u7528\u6765\u8bbf\u95ee\u548c\u66f4\u65b0\uff0c\u5141\u8bb8\u5f00\u53d1\u4eba\u5458\u66f4\u8f7b\u677e\u5730\u5b9e\u73b0\u5bf9\u8bdd\u5386\u53f2\u8bb0\u5f55\u7684\u7ba1\u7406\u548c\u7ef4\u62a4\u3002\n", "\n", "\u6b64\u6b21\u8bfe\u7a0b\u4e3b\u8981\u4ecb\u7ecd\u5176\u4e2d\u56db\u79cd\u50a8\u5b58\u6a21\u5757\uff0c\u5176\u4ed6\u6a21\u5757\u53ef\u67e5\u770b\u6587\u6863\u5b66\u4e60\u3002\n", "- \u5bf9\u8bdd\u7f13\u5b58\u50a8\u5b58 (ConversationBufferMemory\uff09\n", "- \u5bf9\u8bdd\u7f13\u5b58\u7a97\u53e3\u50a8\u5b58 (ConversationBufferWindowMemory\uff09\n", "- \u5bf9\u8bdd\u4ee4\u724c\u7f13\u5b58\u50a8\u5b58 (ConversationTokenBufferMemory\uff09\n", "- \u5bf9\u8bdd\u6458\u8981\u7f13\u5b58\u50a8\u5b58 (ConversationSummaryBufferMemory\uff09\n", "\n", "\u5728LangChain\u4e2d\uff0c\u50a8\u5b58 \u6307\u7684\u662f\u5927\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u7684\u77ed\u671f\u8bb0\u5fc6\u3002\u4e3a\u4ec0\u4e48\u662f\u77ed\u671f\u8bb0\u5fc6\uff1f\u90a3\u662f\u56e0\u4e3aLLM\u8bad\u7ec3\u597d\u4e4b\u540e (\u83b7\u5f97\u4e86\u4e00\u4e9b\u957f\u671f\u8bb0\u5fc6)\uff0c\u5b83\u7684\u53c2\u6570\u4fbf\u4e0d\u4f1a\u56e0\u4e3a\u7528\u6237\u7684\u8f93\u5165\u800c\u53d1\u751f\u6539\u53d8\u3002\u5f53\u7528\u6237\u4e0e\u8bad\u7ec3\u597d\u7684LLM\u8fdb\u884c\u5bf9\u8bdd\u65f6\uff0cLLM\u4f1a\u6682\u65f6\u8bb0\u4f4f\u7528\u6237\u7684\u8f93\u5165\u548c\u5b83\u5df2\u7ecf\u751f\u6210\u7684\u8f93\u51fa\uff0c\u4ee5\u4fbf\u9884\u6d4b\u4e4b\u540e\u7684\u8f93\u51fa\uff0c\u800c\u6a21\u578b\u8f93\u51fa\u5b8c\u6bd5\u540e\uff0c\u5b83\u4fbf\u4f1a\u201c\u9057\u5fd8\u201d\u4e4b\u524d\u7528\u6237\u7684\u8f93\u5165\u548c\u5b83\u7684\u8f93\u51fa\u3002\u56e0\u6b64\uff0c\u4e4b\u524d\u7684\u8fd9\u4e9b\u4fe1\u606f\u53ea\u80fd\u79f0\u4f5c\u4e3aLLM\u7684\u77ed\u671f\u8bb0\u5fc6\u3002  \n", "  \n", "\u4e3a\u4e86\u5ef6\u957fLLM\u77ed\u671f\u8bb0\u5fc6\u7684\u4fdd\u7559\u65f6\u95f4\uff0c\u5219\u9700\u8981\u501f\u52a9\u4e00\u4e9b\u5916\u90e8\u50a8\u5b58\u65b9\u5f0f\u6765\u8fdb\u884c\u8bb0\u5fc6\uff0c\u4ee5\u4fbf\u5728\u7528\u6237\u4e0eLLM\u5bf9\u8bdd\u4e2d\uff0cLLM\u80fd\u591f\u5c3d\u53ef\u80fd\u7684\u77e5\u9053\u7528\u6237\u4e0e\u5b83\u6240\u8fdb\u884c\u7684\u5386\u53f2\u5bf9\u8bdd\u4fe1\u606f\u3002 "]}, {"cell_type": "markdown", "id": "1ca56e6b-1e07-4405-a1ca-f4237f20fa75", "metadata": {"jp-MarkdownHeadingCollapsed": true, "tags": []}, "source": ["## \u4e00\u3001\u8bbe\u7f6eOpenAI API Key\n", "\n", "\u767b\u9646 [OpenAI \u8d26\u6237](https://platform.openai.com/account/api-keys) \u83b7\u53d6API Key\uff0c\u7136\u540e\u5c06\u5176\u8bbe\u7f6e\u4e3a\u73af\u5883\u53d8\u91cf\u3002\n", "\n", "- \u5982\u679c\u4f60\u60f3\u8981\u8bbe\u7f6e\u4e3a\u5168\u5c40\u73af\u5883\u53d8\u91cf\uff0c\u53ef\u4ee5\u53c2\u8003[\u77e5\u4e4e\u6587\u7ae0](https://zhuanlan.zhihu.com/p/627665725)\u3002\n", "- \u5982\u679c\u4f60\u60f3\u8981\u8bbe\u7f6e\u4e3a\u672c\u5730/\u9879\u76ee\u73af\u5883\u53d8\u91cf\uff0c\u5728\u672c\u6587\u4ef6\u76ee\u5f55\u4e0b\u521b\u5efa`.env`\u6587\u4ef6, \u6253\u5f00\u6587\u4ef6\u8f93\u5165\u4ee5\u4e0b\u5185\u5bb9\u3002\n", "\n", "    <p style=\"font-family:verdana; font-size:12px;color:green\">\n", "    OPENAI_API_KEY=\"your_api_key\" \n", "    </p>\n", "  \n", "  \u66ff\u6362\"your_api_key\"\u4e3a\u4f60\u81ea\u5df1\u7684 API Key"]}, {"cell_type": "code", "execution_count": null, "id": "6932bd47-c6d5-4794-8102-a12b84412a93", "metadata": {}, "outputs": [], "source": ["# \u4e0b\u8f7d\u9700\u8981\u7684\u5305python-dotenv\u548copenai\n", "# \u5982\u679c\u4f60\u9700\u8981\u67e5\u770b\u5b89\u88c5\u8fc7\u7a0b\u65e5\u5fd7\uff0c\u53ef\u5220\u9664 -q\n", "!pip install -q python-dotenv\n", "!pip install -q openai"]}, {"cell_type": "code", "execution_count": 1, "id": "10446712-9fa6-4d71-94ce-2ea4cf197e54", "metadata": {}, "outputs": [], "source": ["import os\n", "\n", "import openai\n", "from dotenv import find_dotenv, load_dotenv\n", "\n", "# \u8bfb\u53d6\u672c\u5730/\u9879\u76ee\u7684\u73af\u5883\u53d8\u91cf\u3002\n", "\n", "# find_dotenv()\u5bfb\u627e\u5e76\u5b9a\u4f4d.env\u6587\u4ef6\u7684\u8def\u5f84\n", "# load_dotenv()\u8bfb\u53d6\u8be5.env\u6587\u4ef6\uff0c\u5e76\u5c06\u5176\u4e2d\u7684\u73af\u5883\u53d8\u91cf\u52a0\u8f7d\u5230\u5f53\u524d\u7684\u8fd0\u884c\u73af\u5883\u4e2d\n", "# \u5982\u679c\u4f60\u8bbe\u7f6e\u7684\u662f\u5168\u5c40\u7684\u73af\u5883\u53d8\u91cf\uff0c\u8fd9\u884c\u4ee3\u7801\u5219\u6ca1\u6709\u4efb\u4f55\u4f5c\u7528\u3002\n", "_ = load_dotenv(find_dotenv())\n", "\n", "# \u83b7\u53d6\u73af\u5883\u53d8\u91cf OPENAI_API_KEY\n", "openai.api_key = os.environ[\"OPENAI_API_KEY\"]"]}, {"cell_type": "markdown", "id": "1297dcd5", "metadata": {"tags": []}, "source": ["## \u4e8c\u3001\u5bf9\u8bdd\u7f13\u5b58\u50a8\u5b58\n", "  "]}, {"cell_type": "markdown", "id": "ffa8cd26-45c5-4bae-90b2-b07d23bf3bb2", "metadata": {}, "source": ["### 2.1 \u82f1\u6587\u7248"]}, {"cell_type": "markdown", "id": "b7e77a3d-7aaa-48c1-b219-19bd6f4eb674", "metadata": {"tags": []}, "source": ["#### 2.1.1 \u521d\u59cb\u5316\u5bf9\u8bdd\u6a21\u578b"]}, {"cell_type": "code", "execution_count": 47, "id": "20ad6fe2", "metadata": {"height": 98}, "outputs": [], "source": ["from langchain.chains import ConversationChain\n", "from langchain.chat_models import ChatOpenAI\n", "from langchain.memory import ConversationBufferMemory"]}, {"cell_type": "code", "execution_count": 48, "id": "88bdf13d", "metadata": {"height": 133}, "outputs": [], "source": ["# \u8fd9\u91cc\u6211\u4eec\u5c06\u53c2\u6570temperature\u8bbe\u7f6e\u4e3a0.0\uff0c\u4ece\u800c\u51cf\u5c11\u751f\u6210\u7b54\u6848\u7684\u968f\u673a\u6027\u3002\n", "# \u5982\u679c\u4f60\u60f3\u8981\u6bcf\u6b21\u5f97\u5230\u4e0d\u4e00\u6837\u7684\u6709\u65b0\u610f\u7684\u7b54\u6848\uff0c\u53ef\u4ee5\u5c1d\u8bd5\u589e\u5927\u8be5\u53c2\u6570\u3002\n", "llm = ChatOpenAI(temperature=0.0)  \n", "\n", "memory = ConversationBufferMemory()\n", "\n", "# \u65b0\u5efa\u4e00\u4e2a ConversationChain Class \u5b9e\u4f8b\n", "# verbose\u53c2\u6570\u8bbe\u7f6e\u4e3aTrue\u65f6\uff0c\u7a0b\u5e8f\u4f1a\u8f93\u51fa\u66f4\u8be6\u7ec6\u7684\u4fe1\u606f\uff0c\u4ee5\u63d0\u4f9b\u66f4\u591a\u7684\u8c03\u8bd5\u6216\u8fd0\u884c\u65f6\u4fe1\u606f\u3002\n", "# \u76f8\u53cd\uff0c\u5f53\u5c06verbose\u53c2\u6570\u8bbe\u7f6e\u4e3aFalse\u65f6\uff0c\u7a0b\u5e8f\u4f1a\u4ee5\u66f4\u7b80\u6d01\u7684\u65b9\u5f0f\u8fd0\u884c\uff0c\u53ea\u8f93\u51fa\u5173\u952e\u7684\u4fe1\u606f\u3002\n", "conversation = ConversationChain(llm=llm, memory = memory, verbose=True )"]}, {"cell_type": "markdown", "id": "dea83837", "metadata": {"tags": []}, "source": ["#### 2.1.2 \u7b2c\u4e00\u8f6e\u5bf9\u8bdd"]}, {"cell_type": "markdown", "id": "1a3b4c42", "metadata": {}, "source": ["\u5f53\u6211\u4eec\u8fd0\u884c\u9884\u6d4b(<font style=\"font-family:verdana; font-size:13.5px;color:#0055AA\">predict</font>)\u65f6\uff0c\u751f\u6210\u4e86\u4e00\u4e9b\u63d0\u793a\uff0c\u5982\u4e0b\u6240\u89c1\uff0c\u4ed6\u8bf4\u201c\u4ee5\u4e0b\u662f\u4eba\u7c7b\u548cAI\u4e4b\u95f4\u53cb\u597d\u7684\u5bf9\u8bdd\uff0cAI\u5065\u8c08\u201c\u7b49\u7b49\uff0c\u8fd9\u5b9e\u9645\u4e0a\u662fLangChain\u751f\u6210\u7684\u63d0\u793a\uff0c\u4ee5\u4f7f\u7cfb\u7edf\u8fdb\u884c\u5e0c\u671b\u548c\u53cb\u597d\u7684\u5bf9\u8bdd\uff0c\u5e76\u4e14\u5fc5\u987b\u4fdd\u5b58\u5bf9\u8bdd\uff0c\u5e76\u63d0\u793a\u4e86\u5f53\u524d\u5df2\u5b8c\u6210\u7684\u6a21\u578b\u94fe\u3002"]}, {"cell_type": "code", "execution_count": 49, "id": "db24677d", "metadata": {"height": 47}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["\n", "\n", "\u001b[1m> Entering new  chain...\u001b[0m\n", "Prompt after formatting:\n", "\u001b[32;1m\u001b[1;3mThe following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.\n", "\n", "Current conversation:\n", "\n", "Human: Hi, my name is Andrew\n", "AI:\u001b[0m\n", "\n", "\u001b[1m> Finished chain.\u001b[0m\n"]}, {"data": {"text/plain": ["\"Hello Andrew! It's nice to meet you. How can I assist you today?\""]}, "execution_count": 49, "metadata": {}, "output_type": "execute_result"}], "source": ["conversation.predict(input=\"Hi, my name is Andrew\")"]}, {"cell_type": "markdown", "id": "e71564ad", "metadata": {}, "source": ["#### 2.1.3 \u7b2c\u4e8c\u8f6e\u5bf9\u8bdd"]}, {"cell_type": "markdown", "id": "54d006bd", "metadata": {}, "source": ["\u5f53\u6211\u4eec\u8fdb\u884c\u7b2c\u4e8c\u8f6e\u5bf9\u8bdd\u65f6\uff0c\u5b83\u4f1a\u4fdd\u7559\u4e0a\u9762\u7684\u63d0\u793a"]}, {"cell_type": "code", "execution_count": 50, "id": "cc3ef937", "metadata": {"height": 31}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["\n", "\n", "\u001b[1m> Entering new  chain...\u001b[0m\n", "Prompt after formatting:\n", "\u001b[32;1m\u001b[1;3mThe following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.\n", "\n", "Current conversation:\n", "Human: Hi, my name is Andrew\n", "AI: Hello Andrew! It's nice to meet you. How can I assist you today?\n", "Human: What is 1+1?\n", "AI:\u001b[0m\n", "\n", "\u001b[1m> Finished chain.\u001b[0m\n"]}, {"data": {"text/plain": ["'1+1 is equal to 2.'"]}, "execution_count": 50, "metadata": {}, "output_type": "execute_result"}], "source": ["conversation.predict(input=\"What is 1+1?\")"]}, {"cell_type": "markdown", "id": "33cb734b", "metadata": {}, "source": ["#### 2.1.4 \u7b2c\u4e09\u8f6e\u5bf9\u8bdd"]}, {"cell_type": "markdown", "id": "0393df3d", "metadata": {}, "source": ["\u4e3a\u4e86\u9a8c\u8bc1\u4ed6\u662f\u5426\u8bb0\u5fc6\u4e86\u524d\u9762\u7684\u5bf9\u8bdd\u5185\u5bb9\uff0c\u6211\u4eec\u8ba9\u4ed6\u56de\u7b54\u524d\u9762\u5df2\u7ecf\u8bf4\u8fc7\u7684\u5185\u5bb9\uff08\u6211\u7684\u540d\u5b57\uff09\uff0c\u53ef\u4ee5\u770b\u5230\u4ed6\u786e\u5b9e\u8f93\u51fa\u4e86\u6b63\u786e\u7684\u540d\u5b57\uff0c\u56e0\u6b64\u8fd9\u4e2a\u5bf9\u8bdd\u94fe\u968f\u7740\u5f80\u4e0b\u8fdb\u884c\u4f1a\u8d8a\u6765\u8d8a\u957f"]}, {"cell_type": "code", "execution_count": 51, "id": "acf3339a", "metadata": {"height": 31}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["\n", "\n", "\u001b[1m> Entering new  chain...\u001b[0m\n", "Prompt after formatting:\n", "\u001b[32;1m\u001b[1;3mThe following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.\n", "\n", "Current conversation:\n", "Human: Hi, my name is Andrew\n", "AI: Hello Andrew! It's nice to meet you. How can I assist you today?\n", "Human: What is 1+1?\n", "AI: 1+1 is equal to 2.\n", "Human: What is my name?\n", "AI:\u001b[0m\n", "\n", "\u001b[1m> Finished chain.\u001b[0m\n"]}, {"data": {"text/plain": ["'Your name is Andrew.'"]}, "execution_count": 51, "metadata": {}, "output_type": "execute_result"}], "source": ["conversation.predict(input=\"What is my name?\")"]}, {"cell_type": "markdown", "id": "5a96a8d9", "metadata": {}, "source": ["#### 2.1.5 \u67e5\u770b\u50a8\u5b58\u7f13\u5b58\n", "\n", "\u50a8\u5b58\u7f13\u5b58(<font style=\"font-family:verdana; font-size:13.5px\">memory.</font><font style=\"font-family:verdana; font-size:13.5px;color:#0055AA\">buffer</font>)\n", "\u50a8\u5b58\u4e86\u5f53\u524d\u4e3a\u6b62\u6240\u6709\u7684\u5bf9\u8bdd\u4fe1\u606f"]}, {"cell_type": "code", "execution_count": 52, "id": "2529400d", "metadata": {"height": 31}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["Human: Hi, my name is Andrew\n", "AI: Hello Andrew! It's nice to meet you. How can I assist you today?\n", "Human: What is 1+1?\n", "AI: 1+1 is equal to 2.\n", "Human: What is my name?\n", "AI: Your name is Andrew.\n"]}], "source": ["print(memory.buffer) "]}, {"cell_type": "markdown", "id": "0b5de846", "metadata": {}, "source": ["\u4e5f\u53ef\u4ee5\u901a\u8fc7<font style=\"font-family:verdana; font-size:13.5px\">memory.</font><font style=\"font-family:verdana; font-size:13.5px;color:#0055AA\">load_memory_variables</font><font style=\"font-family:verdana; font-size:13.5px\">({})</font>\u6253\u5370\u7f13\u5b58\u4e2d\u7684\u5386\u53f2\u6d88\u606f\u3002\u8fd9\u91cc\u7684`{}`\u662f\u4e00\u4e2a\u7a7a\u5b57\u5178\uff0c\u6709\u4e00\u4e9b\u66f4\u9ad8\u7ea7\u7684\u529f\u80fd\uff0c\u4f7f\u7528\u6237\u53ef\u4ee5\u4f7f\u7528\u66f4\u590d\u6742\u7684\u8f93\u5165\uff0c\u4f46\u6211\u4eec\u4e0d\u4f1a\u5728\u8fd9\u4e2a\u77ed\u671f\u8bfe\u7a0b\u4e2d\u8ba8\u8bba\u5b83\u4eec\uff0c\u6240\u4ee5\u4e0d\u8981\u62c5\u5fc3\u4e3a\u4ec0\u4e48\u8fd9\u91cc\u6709\u4e00\u4e2a\u7a7a\u7684\u82b1\u62ec\u53f7\u3002"]}, {"cell_type": "code", "execution_count": 53, "id": "5018cb0a", "metadata": {"height": 31}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["{'history': \"Human: Hi, my name is Andrew\\nAI: Hello Andrew! It's nice to meet you. How can I assist you today?\\nHuman: What is 1+1?\\nAI: 1+1 is equal to 2.\\nHuman: What is my name?\\nAI: Your name is Andrew.\"}\n"]}], "source": ["print(memory.load_memory_variables({}))"]}, {"cell_type": "markdown", "id": "07d2e892", "metadata": {}, "source": ["#### 2.1.6 \u76f4\u63a5\u6dfb\u52a0\u5185\u5bb9\u5230\u50a8\u5b58\u7f13\u5b58"]}, {"cell_type": "code", "execution_count": 54, "id": "14219b70", "metadata": {"height": 31}, "outputs": [], "source": ["memory = ConversationBufferMemory()  # \u65b0\u5efa\u4e00\u4e2a\u7a7a\u7684\u5bf9\u8bdd\u7f13\u5b58\u8bb0\u5fc6"]}, {"cell_type": "code", "execution_count": 55, "id": "a36e9905", "metadata": {"height": 48}, "outputs": [], "source": ["memory.save_context({\"input\": \"Hi\"}, {\"output\": \"What's up\"})  # \u5411\u7f13\u5b58\u533a\u6dfb\u52a0\u6307\u5b9a\u5bf9\u8bdd\u7684\u8f93\u5165\u8f93\u51fa"]}, {"cell_type": "code", "execution_count": 56, "id": "61631b1f", "metadata": {"height": 31}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["Human: Hi\n", "AI: What's up\n"]}], "source": ["print(memory.buffer)  # \u67e5\u770b\u7f13\u5b58\u533a\u7ed3\u679c"]}, {"cell_type": "code", "execution_count": 57, "id": "a2fdf9ec", "metadata": {"height": 31}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["{'history': \"Human: Hi\\nAI: What's up\"}\n"]}], "source": ["print(memory.load_memory_variables({}))# \u518d\u6b21\u52a0\u8f7d\u8bb0\u5fc6\u53d8\u91cf"]}, {"cell_type": "markdown", "id": "2ac544f2", "metadata": {}, "source": ["\u7ee7\u7eed\u6dfb\u52a0\u65b0\u7684\u5185\u5bb9\uff0c\u5bf9\u8bdd\u5386\u53f2\u90fd\u4fdd\u5b58\u4e0b\u6765\u5728\u4e86\uff01"]}, {"cell_type": "code", "execution_count": 58, "id": "7ca79256", "metadata": {"height": 64}, "outputs": [], "source": ["memory.save_context({\"input\": \"Not much, just hanging\"}, {\"output\": \"Cool\"})"]}, {"cell_type": "code", "execution_count": 59, "id": "890a4497", "metadata": {"height": 31}, "outputs": [{"data": {"text/plain": ["{'history': \"Human: Hi\\nAI: What's up\\nHuman: Not much, just hanging\\nAI: Cool\"}"]}, "execution_count": 59, "metadata": {}, "output_type": "execute_result"}], "source": ["memory.load_memory_variables({})"]}, {"cell_type": "markdown", "id": "6eddd91a-bf1c-4b82-b99c-c585420e4ecb", "metadata": {}, "source": ["### 2.2 \u4e2d\u6587\u7248"]}, {"cell_type": "markdown", "id": "55b3e4e9-7a6a-4a09-9ac3-0096a67849c7", "metadata": {}, "source": ["#### 2.1.1 \u521d\u59cb\u5316\u5bf9\u8bdd\u6a21\u578b"]}, {"cell_type": "code", "execution_count": 30, "id": "3577aaff-7edb-40b0-866a-e407e63d55e0", "metadata": {"height": 98}, "outputs": [], "source": ["from langchain.chains import ConversationChain\n", "from langchain.chat_models import ChatOpenAI\n", "from langchain.memory import ConversationBufferMemory"]}, {"cell_type": "code", "execution_count": 33, "id": "a77d37ab-1f75-4ae8-8d7c-5066773ead81", "metadata": {"height": 133}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["\n", "\n", "\u001b[1m> Entering new  chain...\u001b[0m\n", "Prompt after formatting:\n", "\u001b[32;1m\u001b[1;3mThe following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.\n", "\n", "Current conversation:\n", "\n", "Human: \u4f60\u597d, \u6211\u53eb\u76ae\u76ae\u9c81\n", "AI:\u001b[0m\n", "\n", "\u001b[1m> Finished chain.\u001b[0m\n"]}, {"data": {"text/plain": ["'\u4f60\u597d\uff0c\u76ae\u76ae\u9c81\uff01\u5f88\u9ad8\u5174\u8ba4\u8bc6\u4f60\u3002\u6211\u662f\u4e00\u4e2aAI\u52a9\u624b\uff0c\u53ef\u4ee5\u56de\u7b54\u4f60\u7684\u95ee\u9898\u548c\u63d0\u4f9b\u5e2e\u52a9\u3002\u6709\u4ec0\u4e48\u6211\u53ef\u4ee5\u5e2e\u4f60\u7684\u5417\uff1f'"]}, "execution_count": 33, "metadata": {}, "output_type": "execute_result"}], "source": ["llm = ChatOpenAI(temperature=0.0)  \n", "\n", "memory = ConversationBufferMemory()\n", "\n", "conversation = ConversationChain(llm=llm, memory = memory, verbose=True )"]}, {"cell_type": "markdown", "id": "747cb539-abc4-4e47-8cb9-1ee608ab07fc", "metadata": {}, "source": ["#### 2.1.2 \u7b2c\u4e00\u8f6e\u5bf9\u8bdd"]}, {"cell_type": "code", "execution_count": null, "id": "99e48462-7a92-4842-bdaa-2a478ba2252c", "metadata": {}, "outputs": [], "source": ["conversation.predict(input=\"\u4f60\u597d, \u6211\u53eb\u76ae\u76ae\u9c81\")"]}, {"cell_type": "markdown", "id": "979d320b-6b20-4722-99db-c48a43711d6c", "metadata": {}, "source": ["#### 2.1.3 \u7b2c\u4e8c\u8f6e\u5bf9\u8bdd"]}, {"cell_type": "code", "execution_count": 34, "id": "6ed6e97a-d7ea-4188-a6d7-f91d2a29d14a", "metadata": {}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["\n", "\n", "\u001b[1m> Entering new  chain...\u001b[0m\n", "Prompt after formatting:\n", "\u001b[32;1m\u001b[1;3mThe following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.\n", "\n", "Current conversation:\n", "Human: \u4f60\u597d, \u6211\u53eb\u76ae\u76ae\u9c81\n", "AI: \u4f60\u597d\uff0c\u76ae\u76ae\u9c81\uff01\u5f88\u9ad8\u5174\u8ba4\u8bc6\u4f60\u3002\u6211\u662f\u4e00\u4e2aAI\u52a9\u624b\uff0c\u53ef\u4ee5\u56de\u7b54\u4f60\u7684\u95ee\u9898\u548c\u63d0\u4f9b\u5e2e\u52a9\u3002\u6709\u4ec0\u4e48\u6211\u53ef\u4ee5\u5e2e\u4f60\u7684\u5417\uff1f\n", "Human: 1+1\u7b49\u4e8e\u591a\u5c11\uff1f\n", "AI:\u001b[0m\n", "\n", "\u001b[1m> Finished chain.\u001b[0m\n"]}, {"data": {"text/plain": ["'1+1\u7b49\u4e8e2\u3002'"]}, "execution_count": 34, "metadata": {}, "output_type": "execute_result"}], "source": ["conversation.predict(input=\"1+1\u7b49\u4e8e\u591a\u5c11\uff1f\")"]}, {"cell_type": "markdown", "id": "8a1fd531-216e-42d8-b226-839747ad7dd3", "metadata": {}, "source": ["#### 2.1.4 \u7b2c\u4e09\u8f6e\u5bf9\u8bdd"]}, {"cell_type": "code", "execution_count": null, "id": "b5dfe488-2758-42c7-9c20-e483b4c22ab8", "metadata": {}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["\n", "\n", "\u001b[1m> Entering new  chain...\u001b[0m\n", "Prompt after formatting:\n", "\u001b[32;1m\u001b[1;3mThe following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.\n", "\n", "Current conversation:\n", "Human: \u4f60\u597d, \u6211\u53eb\u76ae\u76ae\u9c81\n", "AI: \u4f60\u597d\uff0c\u76ae\u76ae\u9c81\uff01\u5f88\u9ad8\u5174\u8ba4\u8bc6\u4f60\u3002\u6211\u662f\u4e00\u4e2aAI\u52a9\u624b\uff0c\u53ef\u4ee5\u56de\u7b54\u4f60\u7684\u95ee\u9898\u548c\u63d0\u4f9b\u5e2e\u52a9\u3002\u6709\u4ec0\u4e48\u6211\u53ef\u4ee5\u5e2e\u4f60\u7684\u5417\uff1f\n", "Human: 1+1\u7b49\u4e8e\u591a\u5c11\uff1f\n", "AI: 1+1\u7b49\u4e8e2\u3002\n", "Human: What is my name?\n", "AI: \u4f60\u7684\u540d\u5b57\u662f\u76ae\u76ae\u9c81\u3002\n", "Human: \u6211\u53eb\u4ec0\u4e48\u540d\u5b57\uff1f\n", "AI:\u001b[0m\n", "\n", "\u001b[1m> Finished chain.\u001b[0m\n"]}, {"data": {"text/plain": ["'\u4f60\u53eb\u76ae\u76ae\u9c81\u3002'"]}, "execution_count": 36, "metadata": {}, "output_type": "execute_result"}], "source": ["conversation.predict(input=\"\u6211\u53eb\u4ec0\u4e48\u540d\u5b57\uff1f\")"]}, {"cell_type": "markdown", "id": "05d9822e-943d-4905-a1f8-a0d28c215d60", "metadata": {}, "source": ["#### 2.1.5 \u67e5\u770b\u50a8\u5b58\u7f13\u5b58"]}, {"cell_type": "code", "execution_count": 37, "id": "0795580f-b6b6-47e0-8882-26fe204560bd", "metadata": {"height": 31}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["Human: \u4f60\u597d, \u6211\u53eb\u76ae\u76ae\u9c81\n", "AI: \u4f60\u597d\uff0c\u76ae\u76ae\u9c81\uff01\u5f88\u9ad8\u5174\u8ba4\u8bc6\u4f60\u3002\u6211\u662f\u4e00\u4e2aAI\u52a9\u624b\uff0c\u53ef\u4ee5\u56de\u7b54\u4f60\u7684\u95ee\u9898\u548c\u63d0\u4f9b\u5e2e\u52a9\u3002\u6709\u4ec0\u4e48\u6211\u53ef\u4ee5\u5e2e\u4f60\u7684\u5417\uff1f\n", "Human: 1+1\u7b49\u4e8e\u591a\u5c11\uff1f\n", "AI: 1+1\u7b49\u4e8e2\u3002\n", "Human: What is my name?\n", "AI: \u4f60\u7684\u540d\u5b57\u662f\u76ae\u76ae\u9c81\u3002\n", "Human: \u6211\u53eb\u4ec0\u4e48\u540d\u5b57\uff1f\n", "AI: \u4f60\u53eb\u76ae\u76ae\u9c81\u3002\n"]}], "source": ["print(memory.buffer) "]}, {"cell_type": "code", "execution_count": 38, "id": "dfe7824f-bd6e-4b95-92e2-1c85c62a92e9", "metadata": {}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["Human: \u4f60\u597d, \u6211\u53eb\u76ae\u76ae\u9c81\n", "AI: \u4f60\u597d\uff0c\u76ae\u76ae\u9c81\uff01\u5f88\u9ad8\u5174\u8ba4\u8bc6\u4f60\u3002\u6211\u662f\u4e00\u4e2aAI\u52a9\u624b\uff0c\u53ef\u4ee5\u56de\u7b54\u4f60\u7684\u95ee\u9898\u548c\u63d0\u4f9b\u5e2e\u52a9\u3002\u6709\u4ec0\u4e48\u6211\u53ef\u4ee5\u5e2e\u4f60\u7684\u5417\uff1f\n", "Human: 1+1\u7b49\u4e8e\u591a\u5c11\uff1f\n", "AI: 1+1\u7b49\u4e8e2\u3002\n", "Human: What is my name?\n", "AI: \u4f60\u7684\u540d\u5b57\u662f\u76ae\u76ae\u9c81\u3002\n", "Human: \u6211\u53eb\u4ec0\u4e48\u540d\u5b57\uff1f\n", "AI: \u4f60\u53eb\u76ae\u76ae\u9c81\u3002\n"]}], "source": ["print(memory.buffer)  "]}, {"cell_type": "code", "execution_count": 39, "id": "48942759-8afb-4aed-80c5-a48952a2b0c0", "metadata": {"height": 31}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["{'history': 'Human: \u4f60\u597d, \u6211\u53eb\u76ae\u76ae\u9c81\\nAI: \u4f60\u597d\uff0c\u76ae\u76ae\u9c81\uff01\u5f88\u9ad8\u5174\u8ba4\u8bc6\u4f60\u3002\u6211\u662f\u4e00\u4e2aAI\u52a9\u624b\uff0c\u53ef\u4ee5\u56de\u7b54\u4f60\u7684\u95ee\u9898\u548c\u63d0\u4f9b\u5e2e\u52a9\u3002\u6709\u4ec0\u4e48\u6211\u53ef\u4ee5\u5e2e\u4f60\u7684\u5417\uff1f\\nHuman: 1+1\u7b49\u4e8e\u591a\u5c11\uff1f\\nAI: 1+1\u7b49\u4e8e2\u3002\\nHuman: What is my name?\\nAI: \u4f60\u7684\u540d\u5b57\u662f\u76ae\u76ae\u9c81\u3002\\nHuman: \u6211\u53eb\u4ec0\u4e48\u540d\u5b57\uff1f\\nAI: \u4f60\u53eb\u76ae\u76ae\u9c81\u3002'}\n"]}], "source": ["print(memory.load_memory_variables({}))"]}, {"cell_type": "code", "execution_count": 40, "id": "4d0c4625-e928-45dc-b8da-4ab865ac5f7e", "metadata": {}, "outputs": [{"data": {"text/plain": ["{'history': 'Human: \u4f60\u597d, \u6211\u53eb\u76ae\u76ae\u9c81\\nAI: \u4f60\u597d\uff0c\u76ae\u76ae\u9c81\uff01\u5f88\u9ad8\u5174\u8ba4\u8bc6\u4f60\u3002\u6211\u662f\u4e00\u4e2aAI\u52a9\u624b\uff0c\u53ef\u4ee5\u56de\u7b54\u4f60\u7684\u95ee\u9898\u548c\u63d0\u4f9b\u5e2e\u52a9\u3002\u6709\u4ec0\u4e48\u6211\u53ef\u4ee5\u5e2e\u4f60\u7684\u5417\uff1f\\nHuman: 1+1\u7b49\u4e8e\u591a\u5c11\uff1f\\nAI: 1+1\u7b49\u4e8e2\u3002\\nHuman: What is my name?\\nAI: \u4f60\u7684\u540d\u5b57\u662f\u76ae\u76ae\u9c81\u3002\\nHuman: \u6211\u53eb\u4ec0\u4e48\u540d\u5b57\uff1f\\nAI: \u4f60\u53eb\u76ae\u76ae\u9c81\u3002'}"]}, "execution_count": 40, "metadata": {}, "output_type": "execute_result"}], "source": ["memory.load_memory_variables({})"]}, {"cell_type": "markdown", "id": "80f3778e-5fbf-43ed-9df1-d57d98ec6fb0", "metadata": {}, "source": ["#### 2.1.6 \u76f4\u63a5\u6dfb\u52a0\u5185\u5bb9\u5230\u50a8\u5b58\u7f13\u5b58"]}, {"cell_type": "code", "execution_count": 42, "id": "147b2c30-1662-4b49-aaf8-c228428e5cc6", "metadata": {}, "outputs": [{"data": {"text/plain": ["{'history': 'Human: \u4f60\u597d\uff0c\u6211\u53eb\u76ae\u76ae\u9c81\\nAI: \u4f60\u597d\u554a\uff0c\u6211\u53eb\u9c81\u897f\u897f'}"]}, "execution_count": 42, "metadata": {}, "output_type": "execute_result"}], "source": ["memory = ConversationBufferMemory()\n", "memory.save_context({\"input\": \"\u4f60\u597d\uff0c\u6211\u53eb\u76ae\u76ae\u9c81\"}, {\"output\": \"\u4f60\u597d\u554a\uff0c\u6211\u53eb\u9c81\u897f\u897f\"})\n", "memory.load_memory_variables({})"]}, {"cell_type": "code", "execution_count": 43, "id": "6b5e27f0-dad7-41b6-9326-bebf6299638f", "metadata": {"height": 64}, "outputs": [], "source": ["memory.save_context({\"input\": \"Not much, just hanging\"}, {\"output\": \"Cool\"})"]}, {"cell_type": "code", "execution_count": 44, "id": "cfa7c555-06ab-4906-b3dc-906f789e08f5", "metadata": {"height": 31}, "outputs": [{"data": {"text/plain": ["{'history': 'Human: \u4f60\u597d\uff0c\u6211\u53eb\u76ae\u76ae\u9c81\\nAI: \u4f60\u597d\u554a\uff0c\u6211\u53eb\u9c81\u897f\u897f\\nHuman: Not much, just hanging\\nAI: Cool'}"]}, "execution_count": 44, "metadata": {}, "output_type": "execute_result"}], "source": ["memory.load_memory_variables({})"]}, {"cell_type": "code", "execution_count": 45, "id": "deb33de8-37ea-4180-a73e-0fc456b14eb0", "metadata": {}, "outputs": [{"data": {"text/plain": ["{'history': 'Human: \u4f60\u597d\uff0c\u6211\u53eb\u76ae\u76ae\u9c81\\nAI: \u4f60\u597d\u554a\uff0c\u6211\u53eb\u9c81\u897f\u897f\\nHuman: Not much, just hanging\\nAI: Cool\\nHuman: \u5f88\u9ad8\u5174\u548c\u4f60\u6210\u4e3a\u670b\u53cb\uff01\\nAI: \u662f\u7684\uff0c\u8ba9\u6211\u4eec\u4e00\u8d77\u53bb\u5192\u9669\u5427\uff01'}"]}, "execution_count": 45, "metadata": {}, "output_type": "execute_result"}], "source": ["memory.save_context({\"input\": \"\u5f88\u9ad8\u5174\u548c\u4f60\u6210\u4e3a\u670b\u53cb\uff01\"}, {\"output\": \"\u662f\u7684\uff0c\u8ba9\u6211\u4eec\u4e00\u8d77\u53bb\u5192\u9669\u5427\uff01\"})\n", "memory.load_memory_variables({})"]}, {"cell_type": "markdown", "id": "10146f1a-0114-4902-8122-d19ae6f7c461", "metadata": {}, "source": ["### 2.3 \u603b\u7ed3"]}, {"cell_type": "markdown", "id": "2759b6bc-edb2-4cfe-b0f8-1bf6c4d796f9", "metadata": {}, "source": ["\u5f53\u6211\u4eec\u5728\u4f7f\u7528\u5927\u578b\u8bed\u8a00\u6a21\u578b\u8fdb\u884c\u804a\u5929\u5bf9\u8bdd\u65f6\uff0c**\u5927\u578b\u8bed\u8a00\u6a21\u578b\u672c\u8eab\u5b9e\u9645\u4e0a\u662f\u65e0\u72b6\u6001\u7684\u3002\u8bed\u8a00\u6a21\u578b\u672c\u8eab\u5e76\u4e0d\u8bb0\u5f97\u5230\u76ee\u524d\u4e3a\u6b62\u7684\u5386\u53f2\u5bf9\u8bdd**\u3002\u6bcf\u6b21\u8c03\u7528API\u7ed3\u70b9\u90fd\u662f\u72ec\u7acb\u7684\u3002\u50a8\u5b58(Memory)\u53ef\u4ee5\u50a8\u5b58\u5230\u76ee\u524d\u4e3a\u6b62\u7684\u6240\u6709\u672f\u8bed\u6216\u5bf9\u8bdd\uff0c\u5e76\u5c06\u5176\u8f93\u5165\u6216\u9644\u52a0\u4e0a\u4e0b\u6587\u5230LLM\u4e2d\u7528\u4e8e\u751f\u6210\u8f93\u51fa\u3002\u5982\u6b64\u770b\u8d77\u6765\u5c31\u597d\u50cf\u5b83\u5728\u8fdb\u884c\u4e0b\u4e00\u8f6e\u5bf9\u8bdd\u7684\u65f6\u5019\uff0c\u8bb0\u5f97\u4e4b\u524d\u8bf4\u8fc7\u4ec0\u4e48\u3002\n"]}, {"cell_type": "markdown", "id": "cf98e9ff", "metadata": {}, "source": ["## \u4e09\u3001\u5bf9\u8bdd\u7f13\u5b58\u7a97\u53e3\u50a8\u5b58\n", "  \n", "\u968f\u7740\u5bf9\u8bdd\u53d8\u5f97\u8d8a\u6765\u8d8a\u957f\uff0c\u6240\u9700\u7684\u5185\u5b58\u91cf\u4e5f\u53d8\u5f97\u975e\u5e38\u957f\u3002\u5c06\u5927\u91cf\u7684tokens\u53d1\u9001\u5230LLM\u7684\u6210\u672c\uff0c\u4e5f\u4f1a\u53d8\u5f97\u66f4\u52a0\u6602\u8d35,\u8fd9\u4e5f\u5c31\u662f\u4e3a\u4ec0\u4e48API\u7684\u8c03\u7528\u8d39\u7528\uff0c\u901a\u5e38\u662f\u57fa\u4e8e\u5b83\u9700\u8981\u5904\u7406\u7684tokens\u6570\u91cf\u800c\u6536\u8d39\u7684\u3002\n", "  \n", "\u9488\u5bf9\u4ee5\u4e0a\u95ee\u9898\uff0cLangChain\u4e5f\u63d0\u4f9b\u4e86\u51e0\u79cd\u65b9\u4fbf\u7684\u50a8\u5b58\u65b9\u5f0f\u6765\u4fdd\u5b58\u5386\u53f2\u5bf9\u8bdd\u3002\u5176\u4e2d\uff0c\u5bf9\u8bdd\u7f13\u5b58\u7a97\u53e3\u50a8\u5b58\u53ea\u4fdd\u7559\u4e00\u4e2a\u7a97\u53e3\u5927\u5c0f\u7684\u5bf9\u8bdd\u3002\u5b83\u53ea\u4f7f\u7528\u6700\u8fd1\u7684n\u6b21\u4ea4\u4e92\u3002\u8fd9\u53ef\u4ee5\u7528\u4e8e\u4fdd\u6301\u6700\u8fd1\u4ea4\u4e92\u7684\u6ed1\u52a8\u7a97\u53e3\uff0c\u4ee5\u4fbf\u7f13\u51b2\u533a\u4e0d\u4f1a\u8fc7\u5927"]}, {"cell_type": "markdown", "id": "b63c9061-9916-4524-b497-93a0aa2b7d06", "metadata": {}, "source": ["### 3.1 \u82f1\u6587\u7248"]}, {"cell_type": "markdown", "id": "641477a4", "metadata": {}, "source": ["#### 3.1.1 \u6dfb\u52a0\u4e24\u8f6e\u5bf9\u8bdd\u5230\u7a97\u53e3\u50a8\u5b58"]}, {"cell_type": "code", "execution_count": 65, "id": "3ea6233e", "metadata": {"height": 47}, "outputs": [], "source": ["from langchain.memory import ConversationBufferWindowMemory\n", "\n", "# k \u4e3a\u7a97\u53e3\u53c2\u6570\uff0ck=1\u8868\u660e\u53ea\u4fdd\u7559\u4e00\u4e2a\u5bf9\u8bdd\u8bb0\u5fc6\n", "memory = ConversationBufferWindowMemory(k=1)  "]}, {"cell_type": "code", "execution_count": 66, "id": "dc4553fb", "metadata": {"height": 115}, "outputs": [], "source": ["# \u5411memory\u6dfb\u52a0\u4e24\u8f6e\u5bf9\u8bdd\n", "memory.save_context({\"input\": \"Hi\"}, {\"output\": \"What's up\"})\n", "memory.save_context({\"input\": \"Not much, just hanging\"}, {\"output\": \"Cool\"})"]}, {"cell_type": "code", "execution_count": 67, "id": "6a788403", "metadata": {"height": 31}, "outputs": [{"data": {"text/plain": ["{'history': 'Human: Not much, just hanging\\nAI: Cool'}"]}, "execution_count": 67, "metadata": {}, "output_type": "execute_result"}], "source": ["# \u5e76\u67e5\u770b\u8bb0\u5fc6\u53d8\u91cf\u5f53\u524d\u7684\u8bb0\u5f55\n", "memory.load_memory_variables({})"]}, {"cell_type": "markdown", "id": "63bda148", "metadata": {}, "source": ["#### 3.1.2 \u5728\u5bf9\u8bdd\u94fe\u4e2d\u5e94\u7528\u7a97\u53e3\u50a8\u5b58"]}, {"cell_type": "code", "execution_count": 68, "id": "4087bc87", "metadata": {"height": 133}, "outputs": [], "source": ["llm = ChatOpenAI(temperature=0.0)\n", "memory = ConversationBufferWindowMemory(k=1)\n", "conversation = ConversationChain(llm=llm, memory=memory, verbose=False  )"]}, {"cell_type": "markdown", "id": "b6d661e3", "metadata": {}, "source": ["\u6ce8\u610f\u6b64\u5904\uff01\u7531\u4e8e\u8fd9\u91cc\u7528\u7684\u662f\u4e00\u4e2a\u7a97\u53e3\u7684\u8bb0\u5fc6\uff0c\u56e0\u6b64\u53ea\u80fd\u4fdd\u5b58\u4e00\u8f6e\u7684\u5386\u53f2\u6d88\u606f\uff0c\u56e0\u6b64AI\u5e76\u4e0d\u80fd\u77e5\u9053\u4f60\u7b2c\u4e00\u8f6e\u5bf9\u8bdd\u4e2d\u63d0\u5230\u7684\u540d\u5b57\uff0c\u4ed6\u6700\u591a\u53ea\u80fd\u8bb0\u4f4f\u4e0a\u4e00\u8f6e\uff08\u7b2c\u4e8c\u8f6e\uff09\u7684\u5bf9\u8bdd\u4fe1\u606f"]}, {"cell_type": "code", "execution_count": 69, "id": "4faaa952", "metadata": {"height": 47}, "outputs": [{"data": {"text/plain": ["\"Hello Andrew! It's nice to meet you. How can I assist you today?\""]}, "execution_count": 69, "metadata": {}, "output_type": "execute_result"}], "source": ["conversation.predict(input=\"Hi, my name is Andrew\")"]}, {"cell_type": "code", "execution_count": 70, "id": "bb20ddaa", "metadata": {"height": 31}, "outputs": [{"data": {"text/plain": ["'1+1 is equal to 2.'"]}, "execution_count": 70, "metadata": {}, "output_type": "execute_result"}], "source": ["conversation.predict(input=\"What is 1+1?\")"]}, {"cell_type": "code", "execution_count": 71, "id": "489b2194", "metadata": {"height": 31}, "outputs": [{"data": {"text/plain": ["\"I'm sorry, but I don't have access to personal information.\""]}, "execution_count": 71, "metadata": {}, "output_type": "execute_result"}], "source": ["conversation.predict(input=\"What is my name?\")"]}, {"cell_type": "markdown", "id": "88837e7c-cf4b-469e-b820-bbfc49ba876c", "metadata": {}, "source": ["### 3.2 \u4e2d\u6587\u7248"]}, {"cell_type": "markdown", "id": "760ec3ad-6959-4a36-b1b5-4fcafe8088ad", "metadata": {}, "source": ["#### 3.1.1 \u6dfb\u52a0\u4e24\u8f6e\u5bf9\u8bdd\u5230\u7a97\u53e3\u50a8\u5b58"]}, {"cell_type": "code", "execution_count": 72, "id": "68a2907c", "metadata": {}, "outputs": [{"data": {"text/plain": ["{'history': 'Human: \u5f88\u9ad8\u5174\u548c\u4f60\u6210\u4e3a\u670b\u53cb\uff01\\nAI: \u662f\u7684\uff0c\u8ba9\u6211\u4eec\u4e00\u8d77\u53bb\u5192\u9669\u5427\uff01'}"]}, "execution_count": 72, "metadata": {}, "output_type": "execute_result"}], "source": ["from langchain.memory import ConversationBufferWindowMemory\n", "\n", "# k=1\u8868\u660e\u53ea\u4fdd\u7559\u4e00\u4e2a\u5bf9\u8bdd\u8bb0\u5fc6\n", "memory = ConversationBufferWindowMemory(k=1)  \n", "memory.save_context({\"input\": \"\u4f60\u597d\uff0c\u6211\u53eb\u76ae\u76ae\u9c81\"}, {\"output\": \"\u4f60\u597d\u554a\uff0c\u6211\u53eb\u9c81\u897f\u897f\"})\n", "memory.save_context({\"input\": \"\u5f88\u9ad8\u5174\u548c\u4f60\u6210\u4e3a\u670b\u53cb\uff01\"}, {\"output\": \"\u662f\u7684\uff0c\u8ba9\u6211\u4eec\u4e00\u8d77\u53bb\u5192\u9669\u5427\uff01\"})\n", "memory.load_memory_variables({})"]}, {"cell_type": "markdown", "id": "dcabf017-5bfd-4904-9f06-388f994eddc9", "metadata": {}, "source": ["#### 3.1.2 \u5728\u5bf9\u8bdd\u94fe\u4e2d\u5e94\u7528\u7a97\u53e3\u50a8\u5b58"]}, {"cell_type": "code", "execution_count": 74, "id": "1ee854d9", "metadata": {}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["\u4f60\u597d\uff0c\u76ae\u76ae\u9c81\uff01\u5f88\u9ad8\u5174\u8ba4\u8bc6\u4f60\u3002\u6211\u662f\u4e00\u4e2aAI\u52a9\u624b\uff0c\u53ef\u4ee5\u56de\u7b54\u4f60\u7684\u95ee\u9898\u548c\u63d0\u4f9b\u5e2e\u52a9\u3002\u6709\u4ec0\u4e48\u6211\u53ef\u4ee5\u5e2e\u4f60\u7684\u5417\uff1f\n", "1+1\u7b49\u4e8e2\u3002\n", "\u5f88\u62b1\u6b49\uff0c\u6211\u65e0\u6cd5\u77e5\u9053\u60a8\u7684\u540d\u5b57\u3002\n"]}], "source": ["llm = ChatOpenAI(temperature=0.0)\n", "memory = ConversationBufferWindowMemory(k=1)\n", "conversation = ConversationChain(llm=llm, memory=memory, verbose=False  )\n", "print(conversation.predict(input=\"\u4f60\u597d, \u6211\u53eb\u76ae\u76ae\u9c81\"))\n", "print(conversation.predict(input=\"1+1\u7b49\u4e8e\u591a\u5c11\uff1f\"))\n", "print(conversation.predict(input=\"\u6211\u53eb\u4ec0\u4e48\u540d\u5b57\uff1f\"))"]}, {"cell_type": "markdown", "id": "d2931b92", "metadata": {}, "source": ["## \u56db\u3001\u5bf9\u8bddtoken\u7f13\u5b58\u50a8\u5b58"]}, {"cell_type": "markdown", "id": "dff5b4c7", "metadata": {}, "source": ["\u4f7f\u7528\u5bf9\u8bddtoken\u7f13\u5b58\u8bb0\u5fc6\uff0c\u5185\u5b58\u5c06\u9650\u5236\u4fdd\u5b58\u7684token\u6570\u91cf\u3002\u5982\u679ctoken\u6570\u91cf\u8d85\u51fa\u6307\u5b9a\u6570\u76ee\uff0c\u5b83\u4f1a\u5207\u6389\u8fd9\u4e2a\u5bf9\u8bdd\u7684\u65e9\u671f\u90e8\u5206\n", "\u4ee5\u4fdd\u7559\u4e0e\u6700\u8fd1\u7684\u4ea4\u6d41\u76f8\u5bf9\u5e94\u7684token\u6570\u91cf\uff0c\u4f46\u4e0d\u8d85\u8fc7token\u9650\u5236\u3002"]}, {"cell_type": "code", "execution_count": 76, "id": "9f6d063c", "metadata": {"height": 31}, "outputs": [], "source": ["!pip install -q tiktoken            "]}, {"cell_type": "code", "execution_count": 77, "id": "fb9020ed", "metadata": {"height": 81}, "outputs": [], "source": ["from langchain.llms import OpenAI\n", "from langchain.memory import ConversationTokenBufferMemory"]}, {"cell_type": "markdown", "id": "f3a84112", "metadata": {}, "source": ["### 4.1 \u82f1\u6587\u7248\n", "\u6dfb\u52a0\u5bf9\u8bdd\u5230Token\u7f13\u5b58\u50a8\u5b58,\u9650\u5236token\u6570\u91cf\uff0c\u8fdb\u884c\u6d4b\u8bd5"]}, {"cell_type": "code", "execution_count": 78, "id": "43582ee6", "metadata": {"height": 149}, "outputs": [], "source": ["memory = ConversationTokenBufferMemory(llm=llm, max_token_limit=30)\n", "memory.save_context({\"input\": \"AI is what?!\"}, {\"output\": \"Amazing!\"})\n", "memory.save_context({\"input\": \"Backpropagation is what?\"}, {\"output\": \"Beautiful!\"})\n", "memory.save_context({\"input\": \"Chatbots are what?\"}, {\"output\": \"Charming!\"})"]}, {"cell_type": "code", "execution_count": 79, "id": "284288e1", "metadata": {"height": 31}, "outputs": [{"data": {"text/plain": ["{'history': 'AI: Beautiful!\\nHuman: Chatbots are what?\\nAI: Charming!'}"]}, "execution_count": 79, "metadata": {}, "output_type": "execute_result"}], "source": ["memory.load_memory_variables({})"]}, {"cell_type": "markdown", "id": "7b62b2e1", "metadata": {}, "source": ["\u53ef\u4ee5\u770b\u5230\u524d\u9762\u8d85\u51fa\u7684\u7684token\u5df2\u7ecf\u88ab\u820d\u5f03\u4e86\uff01\uff01\uff01"]}, {"cell_type": "markdown", "id": "f7f6be43", "metadata": {}, "source": ["### 4.2 \u4e2d\u6587\u7248"]}, {"cell_type": "code", "execution_count": 80, "id": "e9191020", "metadata": {}, "outputs": [{"data": {"text/plain": ["{'history': 'AI: \u8f7b\u821f\u5df2\u8fc7\u4e07\u91cd\u5c71\u3002'}"]}, "execution_count": 80, "metadata": {}, "output_type": "execute_result"}], "source": ["memory = ConversationTokenBufferMemory(llm=llm, max_token_limit=30)\n", "memory.save_context({\"input\": \"\u671d\u8f9e\u767d\u5e1d\u5f69\u4e91\u95f4\uff0c\"}, {\"output\": \"\u5343\u91cc\u6c5f\u9675\u4e00\u65e5\u8fd8\u3002\"})\n", "memory.save_context({\"input\": \"\u4e24\u5cb8\u733f\u58f0\u557c\u4e0d\u4f4f\uff0c\"}, {\"output\": \"\u8f7b\u821f\u5df2\u8fc7\u4e07\u91cd\u5c71\u3002\"})\n", "memory.load_memory_variables({})"]}, {"cell_type": "markdown", "id": "fb08ef4a-876f-422a-81f9-4805288e5955", "metadata": {}, "source": ["### 4.3 \u8865\u5145"]}, {"cell_type": "markdown", "id": "5e4d918b", "metadata": {}, "source": ["ChatGPT\u4f7f\u7528\u4e00\u79cd\u57fa\u4e8e\u5b57\u8282\u5bf9\u7f16\u7801\uff08Byte Pair Encoding\uff0cBPE\uff09\u7684\u65b9\u6cd5\u6765\u8fdb\u884ctokenization\uff08\u5c06\u8f93\u5165\u6587\u672c\u62c6\u5206\u4e3atoken\uff09\u3002BPE\u662f\u4e00\u79cd\u5e38\u89c1\u7684tokenization\u6280\u672f\uff0c\u5b83\u5c06\u8f93\u5165\u6587\u672c\u5206\u5272\u6210\u8f83\u5c0f\u7684\u5b50\u8bcd\u5355\u5143\u3002 \n", "\n", "OpenAI\u5728\u5176\u5b98\u65b9GitHub\u4e0a\u516c\u5f00\u4e86\u4e00\u4e2a\u6700\u65b0\u7684\u5f00\u6e90Python\u5e93 [tiktoken](https://github.com/openai/tiktoken)\uff0c\u8fd9\u4e2a\u5e93\u4e3b\u8981\u662f\u7528\u6765\u8ba1\u7b97tokens\u6570\u91cf\u7684\u3002\u76f8\u6bd4\u8f83HuggingFace\u7684tokenizer\uff0c\u5176\u901f\u5ea6\u63d0\u5347\u4e86\u597d\u51e0\u500d\u3002\n", "\n", "\u5177\u4f53token\u8ba1\u7b97\u65b9\u5f0f,\u7279\u522b\u662f\u6c49\u5b57\u548c\u82f1\u6587\u5355\u8bcd\u7684token\u533a\u522b\uff0c\u5177\u4f53\u8bfe\u53c2\u8003[\u77e5\u4e4e\u6587\u7ae0](https://www.zhihu.com/question/594159910) \u3002"]}, {"cell_type": "markdown", "id": "5ff55d5d", "metadata": {}, "source": ["## \u4e94\u3001\u5bf9\u8bdd\u6458\u8981\u7f13\u5b58\u50a8\u5b58"]}, {"cell_type": "markdown", "id": "7d39b83a", "metadata": {}, "source": ["\u5bf9\u8bdd\u6458\u8981\u7f13\u5b58\u50a8\u5b58\uff0c**\u4f7f\u7528LLM\u7f16\u5199\u5230\u76ee\u524d\u4e3a\u6b62\u5386\u53f2\u5bf9\u8bdd\u7684\u6458\u8981**\uff0c\u5e76\u5c06\u5176\u4fdd\u5b58"]}, {"cell_type": "code", "execution_count": 82, "id": "72dcf8b1", "metadata": {"height": 64}, "outputs": [], "source": ["from langchain.chains import ConversationChain\n", "from langchain.chat_models import ChatOpenAI\n", "from langchain.memory import ConversationSummaryBufferMemory"]}, {"cell_type": "markdown", "id": "243b213e-ce17-46a0-8652-03658ca58dd8", "metadata": {}, "source": ["### 5.1 \u82f1\u6587\u7248"]}, {"cell_type": "markdown", "id": "6572ef39", "metadata": {}, "source": ["#### 5.1.1 \u4f7f\u7528\u5bf9\u8bdd\u6458\u8981\u7f13\u5b58\u50a8\u5b58\n", "\n", "\u521b\u5efa\u4e00\u4e2a\u957f\u5b57\u7b26\u4e32\uff0c\u5176\u4e2d\u5305\u542b\u67d0\u4eba\u7684\u65e5\u7a0b\u5b89\u6392"]}, {"cell_type": "code", "execution_count": 84, "id": "4a5b238f", "metadata": {"height": 285}, "outputs": [], "source": ["# \u521b\u5efa\u4e00\u4e2a\u957f\u5b57\u7b26\u4e32\n", "schedule = \"There is a meeting at 8am with your product team. \\\n", "You will need your powerpoint presentation prepared. \\\n", "9am-12pm have time to work on your LangChain \\\n", "project which will go quickly because Langchain is such a powerful tool. \\\n", "At Noon, lunch at the italian resturant with a customer who is driving \\\n", "from over an hour away to meet you to understand the latest in AI. \\\n", "Be sure to bring your laptop to show the latest LLM demo.\"\n", "\n", "# \u4f7f\u7528\u5bf9\u8bdd\u6458\u8981\u7f13\u5b58\u8bb0\u5fc6\n", "llm = ChatOpenAI(temperature=0.0)\n", "memory = ConversationSummaryBufferMemory(llm=llm, max_token_limit=100) \n", "memory.save_context({\"input\": \"Hello\"}, {\"output\": \"What's up\"})\n", "memory.save_context({\"input\": \"Not much, just hanging\"}, {\"output\": \"Cool\"})\n", "memory.save_context(\n", "    {\"input\": \"What is on the schedule today?\"}, {\"output\": f\"{schedule}\"}\n", ")"]}, {"cell_type": "code", "execution_count": 89, "id": "15226a41-ab36-43a0-93f7-c03c6b374936", "metadata": {}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["System: The human and AI exchange greetings. The human asks about the schedule for the day. The AI provides a detailed schedule, including a meeting with the product team, work on the LangChain project, and a lunch meeting with a customer interested in AI. The AI emphasizes the importance of bringing a laptop to showcase the latest LLM demo during the lunch meeting.\n"]}], "source": ["print(memory.load_memory_variables({})['history'])"]}, {"cell_type": "markdown", "id": "7ccb97b6", "metadata": {}, "source": ["#### 5.1.2 \u57fa\u4e8e\u5bf9\u8bdd\u6458\u8981\u7f13\u5b58\u50a8\u5b58\u7684\u5bf9\u8bdd\u94fe\n", "\u57fa\u4e8e\u4e0a\u9762\u7684\u5bf9\u8bdd\u6458\u8981\u7f13\u5b58\u50a8\u5b58\uff0c\u65b0\u5efa\u4e00\u4e2a\u5bf9\u8bdd\u94fe"]}, {"cell_type": "code", "execution_count": 90, "id": "6728edba", "metadata": {"height": 99}, "outputs": [], "source": ["conversation = ConversationChain(llm=llm, memory=memory, verbose=True)"]}, {"cell_type": "code", "execution_count": 91, "id": "9a221b1d", "metadata": {"height": 47}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["\n", "\n", "\u001b[1m> Entering new  chain...\u001b[0m\n", "Prompt after formatting:\n", "\u001b[32;1m\u001b[1;3mThe following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.\n", "\n", "Current conversation:\n", "System: The human and AI exchange greetings. The human asks about the schedule for the day. The AI provides a detailed schedule, including a meeting with the product team, work on the LangChain project, and a lunch meeting with a customer interested in AI. The AI emphasizes the importance of bringing a laptop to showcase the latest LLM demo during the lunch meeting.\n", "Human: What would be a good demo to show?\n", "AI:\u001b[0m\n", "\n", "\u001b[1m> Finished chain.\u001b[0m\n"]}, {"data": {"text/plain": ["'A good demo to show during the lunch meeting with the customer interested in AI would be the latest LLM (Language Model) demo. The LLM is a cutting-edge AI model that can generate human-like text based on a given prompt. It has been trained on a vast amount of data and can generate coherent and contextually relevant responses. By showcasing the LLM demo, you can demonstrate the capabilities of AI in natural language processing and how it can be applied to various industries and use cases.'"]}, "execution_count": 91, "metadata": {}, "output_type": "execute_result"}], "source": ["conversation.predict(input=\"What would be a good demo to show?\")"]}, {"cell_type": "code", "execution_count": 92, "id": "bb582617", "metadata": {"height": 31}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["System: The human and AI exchange greetings. The human asks about the schedule for the day. The AI provides a detailed schedule, including a meeting with the product team, work on the LangChain project, and a lunch meeting with a customer interested in AI. The AI emphasizes the importance of bringing a laptop to showcase the latest LLM demo during the lunch meeting. A good demo to show during the lunch meeting with the customer interested in AI would be the latest LLM (Language Model) demo. The LLM is a cutting-edge AI model that can generate human-like text based on a given prompt. It has been trained on a vast amount of data and can generate coherent and contextually relevant responses. By showcasing the LLM demo, you can demonstrate the capabilities of AI in natural language processing and how it can be applied to various industries and use cases.\n"]}], "source": ["print(memory.load_memory_variables({})['history'])"]}, {"cell_type": "markdown", "id": "4ba827aa", "metadata": {"height": 31}, "source": ["### 5.2 \u4e2d\u6587\u7248"]}, {"cell_type": "markdown", "id": "64898f33-c538-4e68-b008-7123870b692b", "metadata": {}, "source": ["#### 5.2.1 \u4f7f\u7528\u5bf9\u8bdd\u6458\u8981\u7f13\u5b58\u50a8\u5b58\n", "\n", "\u521b\u5efa\u4e00\u4e2a\u957f\u5b57\u7b26\u4e32\uff0c\u5176\u4e2d\u5305\u542b\u67d0\u4eba\u7684\u65e5\u7a0b\u5b89\u6392"]}, {"cell_type": "code", "execution_count": 97, "id": "2c07922b", "metadata": {"height": 31}, "outputs": [], "source": ["# \u521b\u5efa\u4e00\u4e2a\u957f\u5b57\u7b26\u4e32\n", "schedule = \"\u5728\u516b\u70b9\u4f60\u548c\u4f60\u7684\u4ea7\u54c1\u56e2\u961f\u6709\u4e00\u4e2a\u4f1a\u8bae\u3002 \\\n", "\u4f60\u9700\u8981\u505a\u4e00\u4e2aPPT\u3002 \\\n", "\u4e0a\u53489\u70b9\u523012\u70b9\u4f60\u9700\u8981\u5fd9\u4e8eLangChain\u3002\\\n", "Langchain\u662f\u4e00\u4e2a\u6709\u7528\u7684\u5de5\u5177\uff0c\u56e0\u6b64\u4f60\u7684\u9879\u76ee\u8fdb\u5c55\u7684\u975e\u5e38\u5feb\u3002\\\n", "\u4e2d\u5348\uff0c\u5728\u610f\u5927\u5229\u9910\u5385\u4e0e\u4e00\u4f4d\u5f00\u8f66\u6765\u7684\u987e\u5ba2\u5171\u8fdb\u5348\u9910 \\\n", "\u8d70\u4e86\u4e00\u4e2a\u591a\u5c0f\u65f6\u7684\u8def\u7a0b\u4e0e\u4f60\u89c1\u9762\uff0c\u53ea\u4e3a\u4e86\u89e3\u6700\u65b0\u7684 AI\u3002 \\\n", "\u786e\u4fdd\u4f60\u5e26\u4e86\u7b14\u8bb0\u672c\u7535\u8111\u53ef\u4ee5\u5c55\u793a\u6700\u65b0\u7684 LLM \u6837\u4f8b.\"\n", "\n", "llm = ChatOpenAI(temperature=0.0)\n", "memory = ConversationSummaryBufferMemory(llm=llm, max_token_limit=100)\n", "memory.save_context({\"input\": \"\u4f60\u597d\uff0c\u6211\u53eb\u76ae\u76ae\u9c81\"}, {\"output\": \"\u4f60\u597d\u554a\uff0c\u6211\u53eb\u9c81\u897f\u897f\"})\n", "memory.save_context({\"input\": \"\u5f88\u9ad8\u5174\u548c\u4f60\u6210\u4e3a\u670b\u53cb\uff01\"}, {\"output\": \"\u662f\u7684\uff0c\u8ba9\u6211\u4eec\u4e00\u8d77\u53bb\u5192\u9669\u5427\uff01\"})\n", "memory.save_context({\"input\": \"\u4eca\u5929\u7684\u65e5\u7a0b\u5b89\u6392\u662f\u4ec0\u4e48\uff1f\"}, {\"output\": f\"{schedule}\"})"]}, {"cell_type": "code", "execution_count": 98, "id": "17424a12-430f-4529-9067-300978c6169e", "metadata": {}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["System: The human introduces themselves as Pipilu and the AI introduces themselves as Luxixi. They express happiness at becoming friends and decide to go on an adventure together. The human asks about the schedule for the day. The AI informs them that they have a meeting with their product team at 8 o'clock and need to prepare a PowerPoint presentation. From 9 am to 12 pm, they will be busy with LangChain, a useful tool that helps their project progress quickly. At noon, they will have lunch with a customer who has driven for over an hour just to learn about the latest AI. The AI advises the human to bring their laptop to showcase the latest LLM samples.\n"]}], "source": ["print(memory.load_memory_variables({})['history'])"]}, {"cell_type": "markdown", "id": "9e29a956-607a-4247-9eb5-01285a370991", "metadata": {}, "source": ["#### 5.1.2 \u57fa\u4e8e\u5bf9\u8bdd\u6458\u8981\u7f13\u5b58\u50a8\u5b58\u7684\u5bf9\u8bdd\u94fe\n", "\u57fa\u4e8e\u4e0a\u9762\u7684\u5bf9\u8bdd\u6458\u8981\u7f13\u5b58\u50a8\u5b58\uff0c\u65b0\u5efa\u4e00\u4e2a\u5bf9\u8bdd\u94fe"]}, {"cell_type": "code", "execution_count": 99, "id": "52696c8c", "metadata": {"height": 31}, "outputs": [], "source": ["conversation = ConversationChain(llm=llm, memory=memory, verbose=True)"]}, {"cell_type": "code", "execution_count": 100, "id": "48690d13", "metadata": {"height": 31}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["\n", "\n", "\u001b[1m> Entering new  chain...\u001b[0m\n", "Prompt after formatting:\n", "\u001b[32;1m\u001b[1;3mThe following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.\n", "\n", "Current conversation:\n", "System: The human introduces themselves as Pipilu and the AI introduces themselves as Luxixi. They express happiness at becoming friends and decide to go on an adventure together. The human asks about the schedule for the day. The AI informs them that they have a meeting with their product team at 8 o'clock and need to prepare a PowerPoint presentation. From 9 am to 12 pm, they will be busy with LangChain, a useful tool that helps their project progress quickly. At noon, they will have lunch with a customer who has driven for over an hour just to learn about the latest AI. The AI advises the human to bring their laptop to showcase the latest LLM samples.\n", "Human: \u5c55\u793a\u4ec0\u4e48\u6837\u7684\u6837\u4f8b\u6700\u597d\u5462\uff1f\n", "AI:\u001b[0m\n", "\n", "\u001b[1m> Finished chain.\u001b[0m\n"]}, {"data": {"text/plain": ["'\u5c55\u793a\u4e00\u4e9b\u5177\u6709\u591a\u6837\u6027\u548c\u521b\u65b0\u6027\u7684\u6837\u4f8b\u53ef\u80fd\u662f\u6700\u597d\u7684\u9009\u62e9\u3002\u4f60\u53ef\u4ee5\u9009\u62e9\u5c55\u793a\u4e00\u4e9b\u57fa\u4e8e\u56fe\u50cf\u8bc6\u522b\u7684\u6837\u4f8b\uff0c\u6bd4\u5982\u4eba\u8138\u8bc6\u522b\u3001\u7269\u4f53\u8bc6\u522b\u7b49\u3002\u53e6\u5916\uff0c\u4f60\u4e5f\u53ef\u4ee5\u5c55\u793a\u4e00\u4e9b\u81ea\u7136\u8bed\u8a00\u5904\u7406\u65b9\u9762\u7684\u6837\u4f8b\uff0c\u6bd4\u5982\u6587\u672c\u751f\u6210\u3001\u60c5\u611f\u5206\u6790\u7b49\u3002\u6700\u91cd\u8981\u7684\u662f\u9009\u62e9\u90a3\u4e9b\u80fd\u591f\u5c55\u793a\u51fa\u4f60\u4eec\u56e2\u961f\u7684\u6280\u672f\u5b9e\u529b\u548c\u521b\u9020\u529b\u7684\u6837\u4f8b\u3002'"]}, "execution_count": 100, "metadata": {}, "output_type": "execute_result"}], "source": ["conversation.predict(input=\"\u5c55\u793a\u4ec0\u4e48\u6837\u7684\u6837\u4f8b\u6700\u597d\u5462\uff1f\")"]}, {"cell_type": "code", "execution_count": 101, "id": "85bba1f8", "metadata": {"height": 31}, "outputs": [{"data": {"text/plain": ["{'history': \"System: The human introduces themselves as Pipilu and the AI introduces themselves as Luxixi. They express happiness at becoming friends and decide to go on an adventure together. The human asks about the schedule for the day. The AI informs them that they have a meeting with their product team at 8 o'clock and need to prepare a PowerPoint presentation. From 9 am to 12 pm, they will be busy with LangChain, a useful tool that helps their project progress quickly. At noon, they will have lunch with a customer who has driven for over an hour just to learn about the latest AI. The AI advises the human to bring their laptop to showcase the latest LLM samples. The human asks what kind of samples would be best to showcase. The AI suggests that showcasing diverse and innovative samples would be the best choice. They recommend selecting samples based on image recognition, such as face recognition and object recognition. Additionally, they suggest showcasing samples related to natural language processing, such as text generation and sentiment analysis. The AI emphasizes the importance of choosing samples that demonstrate the team's technical expertise and creativity.\"}"]}, "execution_count": 101, "metadata": {}, "output_type": "execute_result"}], "source": ["memory.load_memory_variables({})  # \u6458\u8981\u8bb0\u5f55\u66f4\u65b0\u4e86"]}], "metadata": {"kernelspec": {"display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3"}, "language_info": {"codemirror_mode": {"name": "ipython", "version": 3}, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.12"}, "toc": {"base_numbering": 1, "nav_menu": {}, "number_sections": false, "sideBar": true, "skip_h1_title": false, "title_cell": "", "title_sidebar": "Contents", "toc_cell": false, "toc_position": {}, "toc_section_display": true, "toc_window_display": true}}, "nbformat": 4, "nbformat_minor": 5}
\ No newline at end of file
diff --git "a/content/\345\277\205\344\277\256\344\270\211-LangChain for LLM Application Development/4.\346\250\241\345\236\213\351\223\276 Chains.ipynb" "b/content/\345\277\205\344\277\256\344\270\211-LangChain for LLM Application Development/4.\346\250\241\345\236\213\351\223\276 Chains.ipynb"
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--- "a/content/\345\277\205\344\277\256\344\270\211-LangChain for LLM Application Development/4.\346\250\241\345\236\213\351\223\276 Chains.ipynb"	
+++ "b/content/\345\277\205\344\277\256\344\270\211-LangChain for LLM Application Development/4.\346\250\241\345\236\213\351\223\276 Chains.ipynb"	
@@ -1 +1 @@
-{"cells":[{"cell_type":"markdown","id":"52824b89-532a-4e54-87e9-1410813cd39e","metadata":{},"source":["# 第四章 模型链\n","\n"," - [一、设置OpenAI API Key](#一、设置OpenAI-API-Key)\n"," - [二、大语言模型链](#二、大语言模型链)\n","     - [2.1 导入数据](#2.1-导入数据)\n","     - [2.2 初始化语言模型](#2.2-初始化语言模型)\n","     - [2.3 初始化提示模版](#2.3-初始化提示模版)\n","     - [2.4 构建大语言模型链](#2.4-构建大语言模型链)\n","     - [2.5 运行大语言模型链](#2.5-运行大语言模型链)\n","     - [2.6 中文提示](#2.6-中文提示)\n"," - [三、顺序链](#三、顺序链)\n","     - [3.1 简单顺序链](#3.1-简单顺序链)\n","         - [3.1.1 创建两个子链](#3.1.1-创建两个子链)\n","         - [3.1.2 构建简单顺序链](#3.1.2-构建简单顺序链)\n","         - [3.1.3 运行简单顺序链](#3.1.3-运行简单顺序链)\n","         - [3.1.4 中文提示](#3.1.4-中文提示)\n","     - [3.2 顺序链](#3.2-顺序链)\n","         - [3.2.1 创建四个子链](#3.2.1-创建四个子链)\n","         - [3.2.2 对四个子链进行组合](#3.2.2-对四个子链进行组合)\n","         - [3.2.3 中文提示](#3.2.3-中文提示)\n"," - [四、 路由链](#四、-路由链)\n","     - [4.1 定义提示模板](#4.1-定义提示模板)\n","     - [4.2 对提示模版进行命名和描述](#4.2-对提示模版进行命名和描述)\n","     - [4.3 基于提示模版信息创建相应目标链  ](#4.3-基于提示模版信息创建相应目标链--)\n","     - [4.4 创建默认目标链](#4.4-创建默认目标链)\n","     - [4.5 定义不同链之间的路由模板](#4.5-定义不同链之间的路由模板)\n","     - [4.6 构建路由链](#4.6-构建路由链)\n","     - [4.7 创建整体链路](#4.7-创建整体链路)\n","     - [4.8 进行提问](#4.8-进行提问)\n","     - [4.9 中文提示](#4.9-中文提示)\n"]},{"cell_type":"markdown","id":"54810ef7","metadata":{},"source":["链（Chains）通常将大语言模型（LLM）与提示(Prompt)结合在一起，基于此，我们可以对文本或数据进行一系列操作。\n","\n","链（Chains）可以一次性接受多个输入\n","\n","例如，我们可以创建一个链，该链接受用户输入，使用提示模板对其进行格式化，然后将格式化的响应传递给LLM。我们可以通过将多个链组合在一起，或者通过将链与其他组件组合在一起来构建更复杂的链。"]},{"cell_type":"markdown","id":"21009bf6-49bd-466e-8177-74c23533d938","metadata":{"tags":[]},"source":["## 一、设置OpenAI API Key"]},{"cell_type":"markdown","id":"a2f5993b-f28d-4be4-984f-2d05be9f4579","metadata":{},"source":["登陆 [OpenAI 账户](https://platform.openai.com/account/api-keys) 获取API Key，然后将其设置为环境变量。\n","\n","- 如果你想要设置为全局环境变量，可以参考[知乎文章](https://zhuanlan.zhihu.com/p/627665725)。\n","- 如果你想要设置为本地/项目环境变量，在本文件目录下创建`.env`文件, 打开文件输入以下内容。\n","\n","    <p style=\"font-family:verdana; font-size:12px;color:green\">\n","    OPENAI_API_KEY=\"your_api_key\" \n","    </p>\n","  \n","  替换\"your_api_key\"为你自己的 API Key"]},{"cell_type":"code","execution_count":1,"id":"1ad53241-bef6-42b8-894b-bcbbc8c64df7","metadata":{"tags":[]},"outputs":[],"source":["import os\n","import openai\n","from dotenv import load_dotenv, find_dotenv\n","\n","# 读取本地/项目的环境变量。\n","\n","# find_dotenv()寻找并定位.env文件的路径\n","# load_dotenv()读取该.env文件，并将其中的环境变量加载到当前的运行环境中  \n","# 如果你设置的是全局的环境变量，这行代码则没有任何作用。\n","_ = load_dotenv(find_dotenv())\n","\n","# 获取环境变量 OPENAI_API_KEY\n","openai.api_key = os.environ['OPENAI_API_KEY']  "]},{"cell_type":"markdown","id":"b940ce7c","metadata":{"tags":[]},"source":["## 二、大语言模型链"]},{"cell_type":"markdown","id":"e000bd16","metadata":{},"source":["大语言模型链(LLMChain)是一个简单但非常强大的链，也是后面我们将要介绍的许多链的基础。"]},{"cell_type":"markdown","id":"d57e93b9-52ba-4f86-a953-e4661b895a3d","metadata":{},"source":["### 2.1 导入数据"]},{"cell_type":"code","execution_count":2,"id":"974acf8e-8f88-42de-88f8-40a82cb58e8b","metadata":{},"outputs":[],"source":["import pandas as pd\n","df = pd.read_csv('data/Data.csv')"]},{"cell_type":"code","execution_count":3,"id":"b7a09c35","metadata":{},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Product</th>\n","      <th>Review</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>Queen Size Sheet Set</td>\n","      <td>I ordered a king size set. My only criticism w...</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>Waterproof Phone Pouch</td>\n","      <td>I loved the waterproof sac, although the openi...</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>Luxury Air Mattress</td>\n","      <td>This mattress had a small hole in the top of i...</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>Pillows Insert</td>\n","      <td>This is the best throw pillow fillers on Amazo...</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>Milk Frother Handheld\\n</td>\n","      <td>I loved this product. But they only seem to l...</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                   Product                                             Review\n","0     Queen Size Sheet Set  I ordered a king size set. My only criticism w...\n","1   Waterproof Phone Pouch  I loved the waterproof sac, although the openi...\n","2      Luxury Air Mattress  This mattress had a small hole in the top of i...\n","3           Pillows Insert  This is the best throw pillow fillers on Amazo...\n","4  Milk Frother Handheld\\n   I loved this product. But they only seem to l..."]},"execution_count":3,"metadata":{},"output_type":"execute_result"}],"source":["df.head()"]},{"cell_type":"markdown","id":"daa83d10-04ee-4355-abe3-ab699c9eaca9","metadata":{},"source":["### 2.2 初始化语言模型"]},{"cell_type":"code","execution_count":4,"id":"e92dff22","metadata":{},"outputs":[],"source":["from langchain_community.chat_models import ChatOpenAI\n","from langchain.prompts import ChatPromptTemplate  \n","from langchain.chains.llm import LLMChain"]},{"cell_type":"code","execution_count":5,"id":"943237a7","metadata":{},"outputs":[{"name":"stderr","output_type":"stream","text":["/Users/lta/anaconda3/envs/cookbook/lib/python3.10/site-packages/langchain_core/_api/deprecation.py:119: LangChainDeprecationWarning: The class `ChatOpenAI` was deprecated in LangChain 0.0.10 and will be removed in 0.3.0. An updated version of the class exists in the langchain-openai package and should be used instead. To use it run `pip install -U langchain-openai` and import as `from langchain_openai import ChatOpenAI`.\n","  warn_deprecated(\n"]}],"source":["# 这里我们将参数temperature设置为0.0，从而减少生成答案的随机性。\n","# 如果你想要每次得到不一样的有新意的答案，可以尝试调整该参数。\n","llm = ChatOpenAI(temperature=0.0)"]},{"cell_type":"markdown","id":"81887434","metadata":{},"source":["### 2.3 初始化提示模版\n","初始化提示，这个提示将接受一个名为product的变量。该prompt将要求LLM生成一个描述制造该产品的公司的最佳名称"]},{"cell_type":"code","execution_count":6,"id":"cdcdb42d","metadata":{},"outputs":[],"source":["prompt = ChatPromptTemplate.from_template(   \n","    \"What is the best name to describe \\\n","    a company that makes {product}?\"\n",")"]},{"cell_type":"markdown","id":"5c22cb13","metadata":{},"source":["### 2.4 构建大语言模型链\n","\n","将大语言模型(LLM)和提示（Prompt）组合成链。这个大语言模型链非常简单，可以让我们以一种顺序的方式去通过运行提示并且结合到大语言模型中。"]},{"cell_type":"code","execution_count":7,"id":"d7abc20b","metadata":{},"outputs":[{"name":"stderr","output_type":"stream","text":["/Users/lta/anaconda3/envs/cookbook/lib/python3.10/site-packages/langchain_core/_api/deprecation.py:119: LangChainDeprecationWarning: The class `LLMChain` was deprecated in LangChain 0.1.17 and will be removed in 0.3.0. Use RunnableSequence, e.g., `prompt | llm` instead.\n","  warn_deprecated(\n"]}],"source":["chain = LLMChain(llm=llm, prompt=prompt)"]},{"cell_type":"markdown","id":"8d7d5ff6","metadata":{},"source":["### 2.5 运行大语言模型链\n","因此，如果我们有一个名为\"Queen Size Sheet Set\"的产品，我们可以通过使用chain.run将其通过这个链运行"]},{"cell_type":"code","execution_count":8,"id":"ad44d1fb","metadata":{},"outputs":[{"name":"stderr","output_type":"stream","text":["/Users/lta/anaconda3/envs/cookbook/lib/python3.10/site-packages/langchain_core/_api/deprecation.py:119: LangChainDeprecationWarning: The method `Chain.run` was deprecated in langchain 0.1.0 and will be removed in 0.3.0. Use invoke instead.\n","  warn_deprecated(\n"]},{"data":{"text/plain":["'\"Royal Comfort Linens\"'"]},"execution_count":8,"metadata":{},"output_type":"execute_result"}],"source":["product = \"Queen Size Sheet Set\"\n","chain.run(product)"]},{"cell_type":"markdown","id":"1e1ede1c","metadata":{},"source":["您可以输入任何产品描述，然后查看链将输出什么结果"]},{"cell_type":"markdown","id":"8ab31583-5cdf-4885-94d7-59c0d3b90b2e","metadata":{},"source":["### 2.6 中文提示"]},{"cell_type":"code","execution_count":9,"id":"2181be10","metadata":{},"outputs":[{"data":{"text/plain":["'“豪华床品集团”'"]},"execution_count":9,"metadata":{},"output_type":"execute_result"}],"source":["prompt = ChatPromptTemplate.from_template(   \n","    \"描述制造{product}的一个公司的最佳名称是什么?\"\n",")\n","chain = LLMChain(llm=llm, prompt=prompt)\n","product = \"大号床单套装\"\n","chain.run(product)"]},{"cell_type":"markdown","id":"49158430","metadata":{},"source":["## 三、顺序链"]},{"cell_type":"markdown","id":"69b03469","metadata":{},"source":["### 3.1 简单顺序链\n","\n","顺序链（SequentialChains）是按预定义顺序执行其链接的链。具体来说，我们将使用简单顺序链（SimpleSequentialChain），这是顺序链的最简单类型，其中每个步骤都有一个输入/输出，一个步骤的输出是下一个步骤的输入。"]},{"cell_type":"code","execution_count":10,"id":"febee243","metadata":{},"outputs":[],"source":["from langchain.chains.sequential import SimpleSequentialChain"]},{"cell_type":"code","execution_count":11,"id":"5d019d6f","metadata":{},"outputs":[],"source":["llm = ChatOpenAI(temperature=0.9)"]},{"cell_type":"markdown","id":"0e732589","metadata":{},"source":["#### 3.1.1 创建两个子链"]},{"cell_type":"code","execution_count":12,"id":"2f31aa8a","metadata":{},"outputs":[],"source":["# 提示模板 1 ：这个提示将接受产品并返回最佳名称来描述该公司\n","first_prompt = ChatPromptTemplate.from_template(\n","    \"What is the best name to describe \\\n","    a company that makes {product}?\"\n",")\n","\n","# Chain 1\n","chain_one = LLMChain(llm=llm, prompt=first_prompt)"]},{"cell_type":"code","execution_count":13,"id":"3f5d5b76","metadata":{},"outputs":[],"source":["\n","# 提示模板 2 ：接受公司名称，然后输出该公司的长为20个单词的描述\n","second_prompt = ChatPromptTemplate.from_template(\n","    \"Write a 20 words description for the following \\\n","    company:{company_name}\"\n",")\n","# chain 2\n","chain_two = LLMChain(llm=llm, prompt=second_prompt)"]},{"cell_type":"markdown","id":"3a1991f4","metadata":{},"source":["#### 3.1.2 构建简单顺序链\n","现在我们可以组合两个LLMChain，以便我们可以在一个步骤中创建公司名称和描述"]},{"cell_type":"code","execution_count":14,"id":"6c1eb2c4","metadata":{},"outputs":[],"source":["overall_simple_chain = SimpleSequentialChain(chains=[chain_one, chain_two], verbose=True)"]},{"cell_type":"markdown","id":"5122f26a","metadata":{},"source":["给一个输入，然后运行上面的链"]},{"cell_type":"markdown","id":"9a80d102-da6b-49f4-8abd-7bff97211232","metadata":{},"source":["#### 3.1.3 运行简单顺序链"]},{"cell_type":"code","execution_count":15,"id":"78458efe","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["\n","\n","\u001b[1m> Entering new SimpleSequentialChain chain...\u001b[0m\n","\u001b[36;1m\u001b[1;3m\"Regal Linens\"\u001b[0m\n","\u001b[33;1m\u001b[1;3m\"Regal Linens offers luxurious bedding and home textiles that elevate your living space with elegance, comfort, and style. Shop now!\"\u001b[0m\n","\n","\u001b[1m> Finished chain.\u001b[0m\n"]},{"data":{"text/plain":["'\"Regal Linens offers luxurious bedding and home textiles that elevate your living space with elegance, comfort, and style. Shop now!\"'"]},"execution_count":15,"metadata":{},"output_type":"execute_result"}],"source":["product = \"Queen Size Sheet Set\"\n","overall_simple_chain.run(product)"]},{"cell_type":"markdown","id":"3983eb68-adf0-4c18-beed-ff6fc09cd78b","metadata":{},"source":["#### 3.1.4 中文提示"]},{"cell_type":"code","execution_count":16,"id":"c7c32997","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["\n","\n","\u001b[1m> Entering new SimpleSequentialChain chain...\u001b[0m\n","\u001b[36;1m\u001b[1;3m“豪华阁”\u001b[0m\n","\u001b[33;1m\u001b[1;3m\"豪华阁是一家提供高端奢华服务的公司，以优质的产品和服务赢得客户的信任和青睐。\"\u001b[0m\n","\n","\u001b[1m> Finished chain.\u001b[0m\n"]},{"data":{"text/plain":["'\"豪华阁是一家提供高端奢华服务的公司，以优质的产品和服务赢得客户的信任和青睐。\"'"]},"execution_count":16,"metadata":{},"output_type":"execute_result"}],"source":["# 中文\n","\n","first_prompt = ChatPromptTemplate.from_template(   \n","    \"描述制造{product}的一个公司的最好的名称是什么\"\n",")\n","chain_one = LLMChain(llm=llm, prompt=first_prompt)\n","\n","second_prompt = ChatPromptTemplate.from_template(   \n","    \"写一个20字的描述对于下面这个\\\n","    公司：{company_name}的\"\n",")\n","chain_two = LLMChain(llm=llm, prompt=second_prompt)\n","\n","\n","overall_simple_chain = SimpleSequentialChain(chains=[chain_one, chain_two],verbose=True)\n","product = \"大号床单套装\"\n","overall_simple_chain.run(product)"]},{"cell_type":"markdown","id":"7b5ce18c","metadata":{},"source":["### 3.2 顺序链"]},{"cell_type":"markdown","id":"1e69f4c0","metadata":{},"source":["当只有一个输入和一个输出时，简单顺序链（SimpleSequentialChain）即可实现。当有多个输入或多个输出时，我们则需要使用顺序链（SequentialChain）来实现。"]},{"cell_type":"code","execution_count":17,"id":"4c129ef6","metadata":{},"outputs":[],"source":["from langchain.chains.sequential import SequentialChain\n","from langchain_community.chat_models import ChatOpenAI    #导入OpenAI模型\n","from langchain.prompts import ChatPromptTemplate   #导入聊天提示模板\n","from langchain.chains.llm import LLMChain    #导入LLM链。"]},{"cell_type":"code","execution_count":18,"id":"03a8e203","metadata":{},"outputs":[],"source":["llm = ChatOpenAI(temperature=0.9)"]},{"cell_type":"markdown","id":"9811445c","metadata":{},"source":["接下来我们将创建一系列的链，然后一个接一个使用他们"]},{"cell_type":"markdown","id":"df9e87ec-b99a-4130-a5b5-cdce064dc6ca","metadata":{},"source":["#### 3.2.1 创建四个子链"]},{"cell_type":"code","execution_count":19,"id":"016187ac","metadata":{},"outputs":[],"source":["#子链1\n","\n","# prompt模板 1: 翻译成英语（把下面的review翻译成英语）\n","first_prompt = ChatPromptTemplate.from_template(\n","    \"Translate the following review to english:\"\n","    \"\\n\\n{Review}\"\n",")\n","# chain 1: 输入：Review 输出： 英文的 Review\n","chain_one = LLMChain(llm=llm, prompt=first_prompt, output_key=\"English_Review\")"]},{"cell_type":"code","execution_count":20,"id":"0fb0730e","metadata":{},"outputs":[],"source":["#子链2\n","\n","# prompt模板 2: 用一句话总结下面的 review\n","second_prompt = ChatPromptTemplate.from_template(\n","    \"Can you summarize the following review in 1 sentence:\"\n","    \"\\n\\n{English_Review}\"\n",")\n","# chain 2: 输入：英文的Review   输出：总结\n","chain_two = LLMChain(llm=llm, prompt=second_prompt, output_key=\"summary\")\n"]},{"cell_type":"code","execution_count":21,"id":"6accf92d","metadata":{},"outputs":[],"source":["#子链3\n","\n","# prompt模板 3: 下面review使用的什么语言\n","third_prompt = ChatPromptTemplate.from_template(\n","    \"What language is the following review:\\n\\n{Review}\"\n",")\n","# chain 3: 输入：Review  输出：语言\n","chain_three = LLMChain(llm=llm, prompt=third_prompt, output_key=\"language\")\n"]},{"cell_type":"code","execution_count":22,"id":"c7a46121","metadata":{},"outputs":[],"source":["#子链4\n","\n","# prompt模板 4: 使用特定的语言对下面的总结写一个后续回复\n","fourth_prompt = ChatPromptTemplate.from_template(\n","    \"Write a follow up response to the following \"\n","    \"summary in the specified language:\"\n","    \"\\n\\nSummary: {summary}\\n\\nLanguage: {language}\"\n",")\n","# chain 4: 输入： 总结, 语言    输出： 后续回复\n","chain_four = LLMChain(llm=llm, prompt=fourth_prompt, output_key=\"followup_message\")\n"]},{"cell_type":"markdown","id":"ff435291-5d20-4c3e-9ed7-76a1140f96d2","metadata":{},"source":["#### 3.2.2 对四个子链进行组合"]},{"cell_type":"code","execution_count":23,"id":"89603117","metadata":{},"outputs":[],"source":["#输入：review    \n","#输出：英文review，总结，后续回复 \n","overall_chain = SequentialChain(\n","    chains=[chain_one, chain_two, chain_three, chain_four],\n","    input_variables=[\"Review\"],\n","    output_variables=[\"English_Review\", \"summary\",\"followup_message\"],\n","    verbose=True\n",")"]},{"cell_type":"markdown","id":"0509de01","metadata":{},"source":["让我们选择一篇评论并通过整个链传递它，可以发现，原始review是法语，可以把英文review看做是一种翻译，接下来是根据英文review得到的总结，最后输出的是用法语原文进行的续写信息。"]},{"cell_type":"code","execution_count":24,"id":"51b04f45","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["\n","\n","\u001b[1m> Entering new SequentialChain chain...\u001b[0m\n"]},{"name":"stderr","output_type":"stream","text":["/Users/lta/anaconda3/envs/cookbook/lib/python3.10/site-packages/langchain_core/_api/deprecation.py:119: LangChainDeprecationWarning: The method `Chain.__call__` was deprecated in langchain 0.1.0 and will be removed in 0.3.0. Use invoke instead.\n","  warn_deprecated(\n"]},{"name":"stdout","output_type":"stream","text":["\n","\u001b[1m> Finished chain.\u001b[0m\n"]},{"data":{"text/plain":["{'Review': \"Je trouve le goût médiocre. La mousse ne tient pas, c'est bizarre. J'achète les mêmes dans le commerce et le goût est bien meilleur...\\nVieux lot ou contrefaçon !?\",\n"," 'English_Review': \"I find the taste mediocre. The foam doesn't last, it's strange. I buy the same ones in stores and the taste is much better... Old batch or counterfeit!?\",\n"," 'summary': 'The reviewer is not satisfied with the taste and quality of the product, suspecting it may be an old batch or counterfeit.',\n"," 'followup_message': \"Cher client,\\n\\nNous sommes désolés d'apprendre que vous n'êtes pas satisfait du goût et de la qualité de notre produit. Nous prenons très au sérieux les retours de nos clients et nous vous assurons que la fraîcheur et l'authenticité de nos produits sont nos priorités absolues.\\n\\nAfin de résoudre ce problème, pourriez-vous nous fournir plus de détails sur le produit que vous avez acheté et nous informer de l'endroit et de la date d'achat ? Cela nous aidera à enquêter sur la situation et à garantir que nos produits répondent à nos normes de qualité élevées.\\n\\nNous vous remercions de nous avoir partagé vos préoccupations et nous vous prions de nous excuser pour le désagrément causé. Nous sommes impatients de résoudre ce problème et de restaurer votre confiance en notre marque.\\n\\nCordialement,\\nL'équipe de service client.\"}"]},"execution_count":24,"metadata":{},"output_type":"execute_result"}],"source":["review = df.Review[5]\n","overall_chain(review)"]},{"cell_type":"markdown","id":"18d72f1d-8a1e-4eb6-b00f-1963b3cf3adb","metadata":{},"source":["#### 3.2.3 中文提示"]},{"cell_type":"code","execution_count":25,"id":"31624a7c","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["\n","\n","\u001b[1m> Entering new SequentialChain chain...\u001b[0m\n","\n","\u001b[1m> Finished chain.\u001b[0m\n"]},{"data":{"text/plain":["{'Review': \"Je trouve le goût médiocre. La mousse ne tient pas, c'est bizarre. J'achète les mêmes dans le commerce et le goût est bien meilleur...\\nVieux lot ou contrefaçon !?\",\n"," 'English_Review': \"I find the taste mediocre. The foam doesn't hold, it's weird. I buy the same ones in stores and the taste is much better... Old batch or counterfeit!?\",\n"," 'summary': 'The taste is disappointing and the quality seems suspicious, possibly indicating an old batch or counterfeit product.',\n"," 'followup_message': \"Merci pour votre retour. Nous sommes désolés d'apprendre que vous avez été déçu par le goût et la qualité de notre produit. Nous allons enquêter sur cette question et prendre les mesures nécessaires pour nous assurer que nos clients reçoivent toujours des produits authentiques et de la plus haute qualité. Merci de nous avoir informés de cette situation.\"}"]},"execution_count":25,"metadata":{},"output_type":"execute_result"}],"source":["# 中文\n","\n","#子链1\n","# prompt模板 1: 翻译成英语（把下面的review翻译成英语）\n","first_prompt = ChatPromptTemplate.from_template(\n","    \"把下面的评论review翻译成英文:\"\n","    \"\\n\\n{Review}\"\n",")\n","# chain 1: 输入：Review    输出：英文的 Review\n","chain_one = LLMChain(llm=llm, prompt=first_prompt, output_key=\"English_Review\")\n","\n","#子链2\n","# prompt模板 2: 用一句话总结下面的 review\n","second_prompt = ChatPromptTemplate.from_template(\n","    \"请你用一句话来总结下面的评论review:\"\n","    \"\\n\\n{English_Review}\"\n",")\n","# chain 2: 输入：英文的Review   输出：总结\n","chain_two = LLMChain(llm=llm, prompt=second_prompt, output_key=\"summary\")\n","\n","\n","#子链3\n","# prompt模板 3: 下面review使用的什么语言\n","third_prompt = ChatPromptTemplate.from_template(\n","    \"下面的评论review使用的什么语言:\\n\\n{Review}\"\n",")\n","# chain 3: 输入：Review  输出：语言\n","chain_three = LLMChain(llm=llm, prompt=third_prompt, output_key=\"language\")\n","\n","\n","#子链4\n","# prompt模板 4: 使用特定的语言对下面的总结写一个后续回复\n","fourth_prompt = ChatPromptTemplate.from_template(\n","    \"使用特定的语言对下面的总结写一个后续回复:\"\n","    \"\\n\\n总结: {summary}\\n\\n语言: {language}\"\n",")\n","# chain 4: 输入： 总结, 语言    输出： 后续回复\n","chain_four = LLMChain(llm=llm, prompt=fourth_prompt,\n","                      output_key=\"followup_message\"\n","                     )\n","\n","\n","# 对四个子链进行组合\n","#输入：review    输出：英文review，总结，后续回复 \n","overall_chain = SequentialChain(\n","    chains=[chain_one, chain_two, chain_three, chain_four],\n","    input_variables=[\"Review\"],\n","    output_variables=[\"English_Review\", \"summary\",\"followup_message\"],\n","    verbose=True\n",")\n","\n","\n","review = df.Review[5]\n","overall_chain(review)"]},{"cell_type":"markdown","id":"3041ea4c","metadata":{},"source":["## 四、 路由链"]},{"cell_type":"markdown","id":"f0c32f97","metadata":{},"source":["到目前为止，我们已经学习了大语言模型链和顺序链。但是，如果我们想做一些更复杂的事情怎么办？\n","\n","一个相当常见但基本的操作是根据输入将其路由到一条链，具体取决于该输入到底是什么。如果你有多个子链，每个子链都专门用于特定类型的输入，那么可以组成一个路由链，它首先决定将它传递给哪个子链，然后将它传递给那个链。\n","\n","路由器由两个组件组成：\n","\n","- 路由链（Router Chain）：路由器链本身，负责选择要调用的下一个链\n","- destination_chains：路由器链可以路由到的链\n","\n","举一个具体的例子，让我们看一下我们在不同类型的链之间路由的地方，我们在这里有不同的prompt:  "]},{"cell_type":"code","execution_count":26,"id":"31b06fc8","metadata":{},"outputs":[],"source":["from langchain.chains.router import MultiPromptChain  #导入多提示链\n","from langchain.chains.router.llm_router import LLMRouterChain,RouterOutputParser\n","from langchain.prompts import PromptTemplate"]},{"cell_type":"code","execution_count":27,"id":"f3f50bcc","metadata":{},"outputs":[],"source":["llm = ChatOpenAI(model='gpt-4o', temperature=0)"]},{"cell_type":"markdown","id":"cb1b4708","metadata":{},"source":["### 4.1 定义提示模板"]},{"cell_type":"markdown","id":"c3b85285-c736-4a5d-bd14-d9b5025ca29b","metadata":{},"source":["首先，我们定义提示适用于不同场景下的提示模板。"]},{"cell_type":"code","execution_count":28,"id":"ade83f4f","metadata":{},"outputs":[],"source":["#第一个提示适合回答物理问题\n","physics_template = \"\"\"You are a very smart physics professor. \\\n","You are great at answering questions about physics in a concise\\\n","and easy to understand manner. \\\n","When you don't know the answer to a question you admit\\\n","that you don't know.\n","\n","Here is a question:\n","{input}\"\"\"\n","\n","\n","#第二个提示适合回答数学问题\n","math_template = \"\"\"You are a very good mathematician. \\\n","You are great at answering math questions. \\\n","You are so good because you are able to break down \\\n","hard problems into their component parts, \n","answer the component parts, and then put them together\\\n","to answer the broader question.\n","\n","Here is a question:\n","{input}\"\"\"\n","\n","\n","#第三个适合回答历史问题\n","history_template = \"\"\"You are a very good historian. \\\n","You have an excellent knowledge of and understanding of people,\\\n","events and contexts from a range of historical periods. \\\n","You have the ability to think, reflect, debate, discuss and \\\n","evaluate the past. You have a respect for historical evidence\\\n","and the ability to make use of it to support your explanations \\\n","and judgements.\n","\n","Here is a question:\n","{input}\"\"\"\n","\n","\n","#第四个适合回答计算机问题\n","computerscience_template = \"\"\" You are a successful computer scientist.\\\n","You have a passion for creativity, collaboration,\\\n","forward-thinking, confidence, strong problem-solving capabilities,\\\n","understanding of theories and algorithms, and excellent communication \\\n","skills. You are great at answering coding questions. \\\n","You are so good because you know how to solve a problem by \\\n","describing the solution in imperative steps \\\n","that a machine can easily interpret and you know how to \\\n","choose a solution that has a good balance between \\\n","time complexity and space complexity. \n","\n","Here is a question:\n","{input}\"\"\""]},{"cell_type":"markdown","id":"cb3b749b-0d3c-46f2-afab-b1213f208b13","metadata":{},"source":["### 4.2 对提示模版进行命名和描述"]},{"cell_type":"markdown","id":"6922b35e","metadata":{},"source":["在定义了这些提示模板后，我们可以为每个模板命名，并给出具体描述。例如，第一个物理学的描述适合回答关于物理学的问题，这些信息将传递给路由链，然后由路由链决定何时使用此子链。"]},{"cell_type":"code","execution_count":29,"id":"141a3d32","metadata":{},"outputs":[],"source":["prompt_infos = [\n","    {\n","        \"name\": \"physics\", \n","        \"description\": \"Good for answering questions about physics\", \n","        \"prompt_template\": physics_template\n","    },\n","    {\n","        \"name\": \"math\", \n","        \"description\": \"Good for answering math questions\", \n","        \"prompt_template\": math_template\n","    },\n","    {\n","        \"name\": \"History\", \n","        \"description\": \"Good for answering history questions\", \n","        \"prompt_template\": history_template\n","    },\n","    {\n","        \"name\": \"computer science\", \n","        \"description\": \"Good for answering computer science questions\", \n","        \"prompt_template\": computerscience_template\n","    }\n","]"]},{"cell_type":"markdown","id":"8795cd42","metadata":{},"source":["LLMRouterChain（此链使用 LLM 来确定如何路由事物）\n","\n","在这里，我们需要一个**多提示链**。这是一种特定类型的链，用于在多个不同的提示模板之间进行路由。 但是这只是路由的一种类型，我们也可以在任何类型的链之间进行路由。\n","\n","这里我们要实现的几个类是大模型路由器链。这个类本身使用语言模型来在不同的子链之间进行路由。这就是上面提供的描述和名称将被使用的地方。"]},{"cell_type":"markdown","id":"46633b43","metadata":{},"source":["### 4.3 基于提示模版信息创建相应目标链  \n","目标链是由路由链调用的链，每个目标链都是一个语言模型链"]},{"cell_type":"code","execution_count":30,"id":"8eefec24","metadata":{},"outputs":[],"source":["destination_chains = {}\n","for p_info in prompt_infos:\n","    name = p_info[\"name\"]\n","    prompt_template = p_info[\"prompt_template\"]\n","    prompt = ChatPromptTemplate.from_template(template=prompt_template)\n","    chain = LLMChain(llm=llm, prompt=prompt)\n","    destination_chains[name] = chain  \n","    \n","destinations = [f\"{p['name']}: {p['description']}\" for p in prompt_infos]\n","destinations_str = \"\\n\".join(destinations)"]},{"cell_type":"markdown","id":"eba115de","metadata":{"tags":[]},"source":["### 4.4 创建默认目标链\n","除了目标链之外，我们还需要一个默认目标链。这是一个当路由器无法决定使用哪个子链时调用的链。在上面的示例中，当输入问题与物理、数学、历史或计算机科学无关时，可能会调用它。"]},{"cell_type":"code","execution_count":31,"id":"9f98018a","metadata":{},"outputs":[],"source":["default_prompt = ChatPromptTemplate.from_template(\"{input}\")\n","default_chain = LLMChain(llm=llm, prompt=default_prompt)"]},{"cell_type":"markdown","id":"948700c4","metadata":{},"source":["### 4.5 定义不同链之间的路由模板\n","\n","这包括要完成的任务的说明以及输出应该采用的特定格式。"]},{"cell_type":"markdown","id":"24f30c2c","metadata":{},"source":["注意：此处在原教程的基础上添加了一个示例，主要是因为\"gpt-3.5-turbo\"模型不能很好适应理解模板的意思，使用 \"text-davinci-003\" 或者\"gpt-4o\"可以很好的工作，因此在这里多加了示例提示让其更好的学习。\n","eg:\n","<< INPUT >>\n","\"What is black body radiation?\"\n","<< OUTPUT >>\n","```json\n","{{{{\n","    \"destination\": string \\ name of the prompt to use or \"DEFAULT\"\n","    \"next_inputs\": string \\ a potentially modified version of the original input\n","}}}}\n","```"]},{"cell_type":"code","execution_count":32,"id":"11b2e2ba","metadata":{},"outputs":[],"source":["MULTI_PROMPT_ROUTER_TEMPLATE = \"\"\"Given a raw text input to a \\\n","language model select the model prompt best suited for the input. \\\n","You will be given the names of the available prompts and a \\\n","description of what the prompt is best suited for. \\\n","You may also revise the original input if you think that revising\\\n","it will ultimately lead to a better response from the language model.\n","\n","<< FORMATTING >>\n","Return a markdown code snippet with a JSON object formatted to look like:\n","```json\n","{{{{\n","    \"destination\": string \\ name of the prompt to use or \"DEFAULT\"\n","    \"next_inputs\": string \\ a potentially modified version of the original input\n","}}}}\n","```\n","\n","REMEMBER: \"destination\" MUST be one of the candidate prompt \\\n","names specified below OR it can be \"DEFAULT\" if the input is not\\\n","well suited for any of the candidate prompts.\n","REMEMBER: \"next_inputs\" can just be the original input \\\n","if you don't think any modifications are needed.\n","\n","<< CANDIDATE PROMPTS >>\n","{destinations}\n","\n","<< INPUT >>\n","{{input}}\n","\n","<< OUTPUT (remember to include the ```json)>>\n","\n","eg:\n","<< INPUT >>\n","\"What is black body radiation?\"\n","<< OUTPUT >>\n","```json\n","{{{{\n","    \"destination\": string \\ name of the prompt to use or \"DEFAULT\"\n","    \"next_inputs\": string \\ a potentially modified version of the original input\n","}}}}\n","```\n","\n","\"\"\""]},{"cell_type":"markdown","id":"de5c46d0","metadata":{},"source":["### 4.6 构建路由链\n","首先，我们通过格式化上面定义的目标创建完整的路由器模板。这个模板可以适用许多不同类型的目标。\n","因此，在这里，您可以添加一个不同的学科，如英语或拉丁语，而不仅仅是物理、数学、历史和计算机科学。\n","\n","接下来，我们从这个模板创建提示模板\n","\n","最后，通过传入llm和整个路由提示来创建路由链。需要注意的是这里有路由输出解析，这很重要，因为它将帮助这个链路决定在哪些子链路之间进行路由。"]},{"cell_type":"code","execution_count":33,"id":"1387109d","metadata":{},"outputs":[],"source":["router_template = MULTI_PROMPT_ROUTER_TEMPLATE.format(\n","    destinations=destinations_str\n",")\n","router_prompt = PromptTemplate(\n","    template=router_template,\n","    input_variables=[\"input\"],\n","    output_parser=RouterOutputParser(),\n",")\n","\n","router_chain = LLMRouterChain.from_llm(llm, router_prompt)"]},{"cell_type":"markdown","id":"7e92355c","metadata":{},"source":["### 4.7 创建整体链路"]},{"cell_type":"code","execution_count":34,"id":"2fb7d560","metadata":{},"outputs":[],"source":["#多提示链\n","chain = MultiPromptChain(router_chain=router_chain,    #l路由链路\n","                         destination_chains=destination_chains,   #目标链路\n","                         default_chain=default_chain,      #默认链路\n","                         verbose=True   \n","                        )"]},{"cell_type":"markdown","id":"086503f7","metadata":{},"source":["### 4.8 进行提问"]},{"cell_type":"markdown","id":"969cd878","metadata":{},"source":["如果我们问一个物理问题，我们希望看到他被路由到物理链路"]},{"cell_type":"code","execution_count":35,"id":"2217d987","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["\n","\n","\u001b[1m> Entering new MultiPromptChain chain...\u001b[0m\n","physics: {'input': 'What is black body radiation?'}\n","\u001b[1m> Finished chain.\u001b[0m\n"]},{"data":{"text/plain":["'Black body radiation refers to the electromagnetic radiation emitted by an idealized object called a \"black body,\" which absorbs all incident radiation, regardless of frequency or angle of incidence. A black body in thermal equilibrium emits radiation with a characteristic spectrum that depends only on its temperature, not on its material or surface properties.\\n\\nThe spectrum of black body radiation is described by Planck\\'s law, which shows that the intensity of radiation emitted at different wavelengths peaks at a wavelength inversely proportional to the temperature. This means that as the temperature of the black body increases, the peak wavelength of the emitted radiation shifts to shorter wavelengths (higher frequencies).\\n\\nKey characteristics of black body radiation include:\\n\\n1. **Planck\\'s Law**: Describes the spectral density of the radiation.\\n2. **Wien\\'s Displacement Law**: States that the wavelength at which the emission is strongest is inversely proportional to the temperature.\\n3. **Stefan-Boltzmann Law**: States that the total energy emitted per unit surface area of a black body is proportional to the fourth power of its temperature.\\n\\nBlack body radiation is a fundamental concept in physics and has important implications in fields such as thermodynamics, quantum mechanics, and astrophysics.'"]},"execution_count":35,"metadata":{},"output_type":"execute_result"}],"source":["# 问题：什么是黑体辐射？\n","chain.run(\"What is black body radiation?\")"]},{"cell_type":"markdown","id":"289c5ca9","metadata":{},"source":["如果我们问一个数学问题，我们希望看到他被路由到数学链路"]},{"cell_type":"code","execution_count":36,"id":"3b717379","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["\n","\n","\u001b[1m> Entering new MultiPromptChain chain...\u001b[0m\n","math: {'input': 'what is 2 + 2'}\n","\u001b[1m> Finished chain.\u001b[0m\n"]},{"data":{"text/plain":["\"Thank you for the kind words! Let's break down the problem of finding the sum of \\\\(2 + 2\\\\).\\n\\n1. **Identify the numbers involved**: The numbers we are adding are 2 and 2.\\n2. **Understand the operation**: The operation we are performing is addition.\\n\\nNow, let's perform the addition step-by-step:\\n\\n- Start with the first number: 2\\n- Add the second number: 2\\n\\nSo, \\\\(2 + 2\\\\) can be visualized as:\\n\\\\[ 2 + 2 = 4 \\\\]\\n\\nTherefore, the sum of \\\\(2 + 2\\\\) is \\\\(4\\\\).\""]},"execution_count":36,"metadata":{},"output_type":"execute_result"}],"source":["# 问题：2+2等于多少？\n","chain.run(\"what is 2 + 2\")"]},{"cell_type":"markdown","id":"4186a2b9","metadata":{},"source":["如果我们传递一个与任何子链路都无关的问题时，会发生什么呢？\n","\n","这里，我们问了一个关于生物学的问题，我们可以看到它选择的链路是无。这意味着它将被**传递到默认链路，它本身只是对语言模型的通用调用**。语言模型幸运地对生物学知道很多，所以它可以帮助我们。"]},{"cell_type":"code","execution_count":37,"id":"29e5be01","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["\n","\n","\u001b[1m> Entering new MultiPromptChain chain...\u001b[0m\n","None: {'input': 'Why does every cell in our body contain DNA?'}\n","\u001b[1m> Finished chain.\u001b[0m\n"]},{"data":{"text/plain":["\"Every cell in our body contains DNA because DNA serves as the fundamental blueprint for all cellular functions and activities. Here are some key reasons why DNA is present in every cell:\\n\\n1. **Genetic Information**: DNA carries the genetic instructions necessary for the development, functioning, growth, and reproduction of all living organisms. These instructions are encoded in the sequence of nucleotides within the DNA molecule.\\n\\n2. **Protein Synthesis**: DNA contains the codes for making proteins, which are essential molecules that perform a wide variety of functions within the cell. Proteins are involved in virtually every cellular process, including structural support, catalyzing metabolic reactions (enzymes), and regulating gene expression.\\n\\n3. **Cellular Identity and Function**: Different types of cells in the body have different functions, and the DNA in each cell contains the information needed to produce the specific proteins that allow the cell to perform its unique role. For example, muscle cells produce proteins that enable contraction, while nerve cells produce proteins involved in transmitting signals.\\n\\n4. **Replication and Inheritance**: DNA must be present in every cell to ensure that genetic information can be accurately copied and passed on during cell division. This is crucial for growth, development, and tissue repair. When cells divide, they replicate their DNA so that each new cell receives a complete set of genetic instructions.\\n\\n5. **Regulation of Cellular Activities**: DNA contains regulatory elements that control when and how genes are expressed. This regulation ensures that genes are turned on or off as needed, allowing cells to respond to changes in their environment and maintain homeostasis.\\n\\n6. **Consistency and Continuity**: Having DNA in every cell ensures consistency and continuity of genetic information throughout the organism. This uniformity is essential for the coordinated functioning of the body's systems and for maintaining the organism's overall integrity.\\n\\nIn summary, DNA is present in every cell because it provides the essential instructions for cellular function, growth, and reproduction, ensuring that each cell can perform its specific role and contribute to the organism's overall health and survival.\""]},"execution_count":37,"metadata":{},"output_type":"execute_result"}],"source":["# 问题：为什么我们身体里的每个细胞都包含DNA？\n","chain.run(\"Why does every cell in our body contain DNA?\")"]},{"cell_type":"markdown","id":"753b5f1d-b010-4f33-a928-d3b9e85bf289","metadata":{},"source":["### 4.9 中文提示"]},{"cell_type":"code","execution_count":38,"id":"f7fade7a","metadata":{},"outputs":[],"source":["# 中文\n","#第一个提示适合回答物理问题\n","physics_template = \"\"\"你是一个非常聪明的物理专家。 \\\n","你擅长用一种简洁并且易于理解的方式去回答问题。\\\n","当你不知道问题的答案时，你承认\\\n","你不知道.\n","\n","这是一个问题:\n","{input}\"\"\"\n","\n","\n","#第二个提示适合回答数学问题\n","math_template = \"\"\"你是一个非常优秀的数学家。 \\\n","你擅长回答数学问题。 \\\n","你之所以如此优秀， \\\n","是因为你能够将棘手的问题分解为组成部分，\\\n","回答组成部分，然后将它们组合在一起，回答更广泛的问题。\n","\n","这是一个问题：\n","{input}\"\"\"\n","\n","\n","#第三个适合回答历史问题\n","history_template = \"\"\"你是以为非常优秀的历史学家。 \\\n","你对一系列历史时期的人物、事件和背景有着极好的学识和理解\\\n","你有能力思考、反思、辩证、讨论和评估过去。\\\n","你尊重历史证据，并有能力利用它来支持你的解释和判断。\n","\n","这是一个问题:\n","{input}\"\"\"\n","\n","\n","#第四个适合回答计算机问题\n","computerscience_template = \"\"\" 你是一个成功的计算机科学专家。\\\n","你有创造力、协作精神、\\\n","前瞻性思维、自信、解决问题的能力、\\\n","对理论和算法的理解以及出色的沟通技巧。\\\n","你非常擅长回答编程问题。\\\n","你之所以如此优秀，是因为你知道  \\\n","如何通过以机器可以轻松解释的命令式步骤描述解决方案来解决问题，\\\n","并且你知道如何选择在时间复杂性和空间复杂性之间取得良好平衡的解决方案。\n","\n","这还是一个输入：\n","{input}\"\"\""]},{"cell_type":"code","execution_count":39,"id":"deb8aafc","metadata":{},"outputs":[],"source":["# 中文\n","prompt_infos = [\n","    {\n","        \"名字\": \"物理学\", \n","        \"描述\": \"擅长回答关于物理学的问题\", \n","        \"提示模板\": physics_template\n","    },\n","    {\n","        \"名字\": \"数学\", \n","        \"描述\": \"擅长回答数学问题\", \n","        \"提示模板\": math_template\n","    },\n","    {\n","        \"名字\": \"历史\", \n","        \"描述\": \"擅长回答历史问题\", \n","        \"提示模板\": history_template\n","    },\n","    {\n","        \"名字\": \"计算机科学\", \n","        \"描述\": \"擅长回答计算机科学问题\", \n","        \"提示模板\": computerscience_template\n","    }\n","]\n"]},{"cell_type":"code","execution_count":40,"id":"fd6eb641","metadata":{},"outputs":[],"source":["# 中文\n","destination_chains = {}\n","for p_info in prompt_infos:\n","    name = p_info[\"名字\"]\n","    prompt_template = p_info[\"提示模板\"]\n","    prompt = ChatPromptTemplate.from_template(template=prompt_template)\n","    chain = LLMChain(llm=llm, prompt=prompt)\n","    destination_chains[name] = chain  \n","    \n","destinations = [f\"{p['名字']}: {p['描述']}\" for p in prompt_infos]\n","destinations_str = \"\\n\".join(destinations)"]},{"cell_type":"code","execution_count":41,"id":"af088d6b-a70b-4cd7-bc6e-4ad7b32e6ae1","metadata":{},"outputs":[],"source":["default_prompt = ChatPromptTemplate.from_template(\"{input}\")\n","default_chain = LLMChain(llm=llm, prompt=default_prompt)"]},{"cell_type":"code","execution_count":42,"id":"a7aae035","metadata":{},"outputs":[],"source":["# 中文\n","\n","# 多提示路由模板\n","MULTI_PROMPT_ROUTER_TEMPLATE = \"\"\"给语言模型一个原始文本输入，\\\n","让其选择最适合输入的模型提示。\\\n","系统将为您提供可用提示的名称以及最适合改提示的描述。\\\n","如果你认为修改原始输入最终会导致语言模型做出更好的响应，\\\n","你也可以修改原始输入。\n","\n","\n","<< 格式 >>\n","返回一个带有JSON对象的markdown代码片段，该JSON对象的格式如下：\n","```json\n","{{{{\n","    \"destination\": 字符串 \\ 使用的提示名字或者使用 \"DEFAULT\"\n","    \"next_inputs\": 字符串 \\ 原始输入的改进版本\n","}}}}\n","```\n","\n","\n","记住：“destination”必须是下面指定的候选提示名称之一，\\\n","或者如果输入不太适合任何候选提示，\\\n","则可以是 “DEFAULT” 。\n","记住：如果您认为不需要任何修改，\\\n","则 “next_inputs” 可以只是原始输入。\n","\n","<< 候选提示 >>\n","{destinations}\n","\n","<< 输入 >>\n","{{input}}\n","\n","<< 输出 (记得要包含 ```json)>>\n","\n","样例:\n","<< 输入 >>\n","\"什么是黑体辐射?\"\n","<< 输出 >>\n","```json\n","{{{{\n","    \"destination\": 字符串 \\ 使用的提示名字或者使用 \"DEFAULT\"\n","    \"next_inputs\": 字符串 \\ 原始输入的改进版本\n","}}}}\n","```\n","\n","\"\"\""]},{"cell_type":"code","execution_count":43,"id":"7470b25c-ef82-496c-a6e0-e04b99b08e70","metadata":{},"outputs":[],"source":["# 中文\n","# 创建路由链\n","\n","router_template = MULTI_PROMPT_ROUTER_TEMPLATE.format(\n","    destinations=destinations_str\n",")\n","\n","router_prompt = PromptTemplate(\n","    template=router_template,\n","    input_variables=[\"input\"],\n","    output_parser=RouterOutputParser(),\n",")\n","\n","router_chain = LLMRouterChain.from_llm(llm, router_prompt)\n","\n","#多提示链\n","chain = MultiPromptChain(router_chain=router_chain,    #l路由链路\n","                         destination_chains=destination_chains,   #目标链路\n","                         default_chain=default_chain,      #默认链路\n","                         verbose=True   \n","                        )"]},{"cell_type":"code","execution_count":44,"id":"4446724c","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["\n","\n","\u001b[1m> Entering new MultiPromptChain chain...\u001b[0m\n","物理学: {'input': '什么是黑体辐射？'}\n","\u001b[1m> Finished chain.\u001b[0m\n"]},{"data":{"text/plain":["'黑体辐射是指一种理想化物体（称为黑体）在热平衡状态下发出的电磁辐射。黑体是一个完全吸收所有入射辐射的物体，不反射或透射任何光。它的辐射只依赖于其温度，而与材料和表面特性无关。\\n\\n黑体辐射的特点可以通过普朗克辐射定律来描述，该定律给出了不同温度下黑体在各个波长上辐射的能量分布。随着温度升高，黑体辐射的峰值波长会向更短的波长移动，这就是所谓的维恩位移定律。\\n\\n简单来说，黑体辐射是一个理想化概念，用来描述物体在不同温度下如何发出电磁辐射。'"]},"execution_count":44,"metadata":{},"output_type":"execute_result"}],"source":["#中文\n","chain.run(\"什么是黑体辐射？\")"]},{"cell_type":"code","execution_count":45,"id":"ef81eda3","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["\n","\n","\u001b[1m> Entering new MultiPromptChain chain...\u001b[0m\n","None: {'input': '你知道李白是谁嘛?'}\n","\u001b[1m> Finished chain.\u001b[0m\n"]},{"data":{"text/plain":["'当然知道，李白是中国唐代著名的诗人，被誉为“诗仙”。他生于701年，卒于762年，字太白，号青莲居士。李白以其豪放不羁的个性和卓越的诗才著称，他的诗歌风格豪放飘逸，充满浪漫主义色彩。李白的作品数量众多，流传至今的有上千首，其中许多作品被认为是中国古典诗歌的经典之作。\\n\\n李白的诗歌题材广泛，包括山水田园、边塞征战、友情离别、人生哲理等。他的代表作有《将进酒》、《静夜思》、《早发白帝城》、《行路难》等。李白的诗歌不仅在中国文学史上占有重要地位，也对后世产生了深远的影响。'"]},"execution_count":45,"metadata":{},"output_type":"execute_result"}],"source":["# 中文\n","chain.run(\"你知道李白是谁嘛?\")"]},{"cell_type":"code","execution_count":46,"id":"795bea17","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["\n","\n","\u001b[1m> Entering new MultiPromptChain chain...\u001b[0m\n","数学: {'input': '2 + 2 等于多少'}\n","\u001b[1m> Finished chain.\u001b[0m\n"]},{"data":{"text/plain":["'2 + 2 等于 4。\\n\\n我们可以将这个问题分解为以下几个步骤来验证：\\n\\n1. **理解加法的定义**：加法是将两个或多个数值组合在一起得到一个总和的过程。\\n2. **识别操作数**：在这个问题中，我们有两个操作数，都是2。\\n3. **执行加法操作**：将这两个操作数相加，即 2 + 2。\\n4. **得到结果**：2 + 2 = 4。\\n\\n因此，2 + 2 的结果是 4。'"]},"execution_count":46,"metadata":{},"output_type":"execute_result"}],"source":["# 中文\n","chain.run(\"2 + 2 等于多少\")"]},{"cell_type":"code","execution_count":47,"id":"a64d0759","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["\n","\n","\u001b[1m> Entering new MultiPromptChain chain...\u001b[0m\n","None: {'input': '为什么我们身体里的每个细胞都包含DNA？'}\n","\u001b[1m> Finished chain.\u001b[0m\n"]},{"data":{"text/plain":["'我们身体里的每个细胞都包含DNA，这是因为DNA是遗传信息的载体，负责指导细胞的生长、发育、功能和繁殖。以下是一些关键原因：\\n\\n1. **遗传信息的传递**：DNA包含了所有遗传信息，这些信息决定了生物体的特征和功能。每个细胞都需要这些信息来执行其特定的功能。\\n\\n2. **细胞分裂和生长**：在细胞分裂过程中，DNA必须被复制并传递给新生成的细胞。这样，每个新细胞都能获得完整的遗传信息，确保其正常功能和生长。\\n\\n3. **蛋白质合成**：DNA包含了编码蛋白质的基因。蛋白质是细胞功能的执行者，参与了几乎所有的细胞过程。每个细胞需要DNA来指导蛋白质的合成，以维持其正常功能。\\n\\n4. **细胞特化**：尽管每个细胞都包含相同的DNA，但不同类型的细胞会表达不同的基因。这种基因表达的差异使得细胞能够特化，执行特定的功能。例如，肌肉细胞、神经细胞和皮肤细胞虽然都包含相同的DNA，但它们的功能和形态各不相同。\\n\\n5. **修复和维护**：细胞在其生命周期中可能会受到损伤。DNA包含了修复和维护细胞功能的指令，帮助细胞修复自身并维持正常运作。\\n\\n总之，DNA在每个细胞中扮演着至关重要的角色，确保生物体的正常发育、功能和生存。'"]},"execution_count":47,"metadata":{},"output_type":"execute_result"}],"source":["# 中文\n","chain.run(\"为什么我们身体里的每个细胞都包含DNA？\")"]}],"metadata":{"kernelspec":{"display_name":"Python 3 (ipykernel)","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.10.14"}},"nbformat":4,"nbformat_minor":5}
+{"cells": [{"cell_type": "markdown", "id": "52824b89-532a-4e54-87e9-1410813cd39e", "metadata": {}, "source": ["# \u7b2c\u56db\u7ae0 \u6a21\u578b\u94fe\n", "\n", " - [\u4e00\u3001\u8bbe\u7f6eOpenAI API Key](#\u4e00\u3001\u8bbe\u7f6eOpenAI-API-Key)\n", " - [\u4e8c\u3001\u5927\u8bed\u8a00\u6a21\u578b\u94fe](#\u4e8c\u3001\u5927\u8bed\u8a00\u6a21\u578b\u94fe)\n", "     - [2.1 \u5bfc\u5165\u6570\u636e](#2.1-\u5bfc\u5165\u6570\u636e)\n", "     - [2.2 \u521d\u59cb\u5316\u8bed\u8a00\u6a21\u578b](#2.2-\u521d\u59cb\u5316\u8bed\u8a00\u6a21\u578b)\n", "     - [2.3 \u521d\u59cb\u5316\u63d0\u793a\u6a21\u7248](#2.3-\u521d\u59cb\u5316\u63d0\u793a\u6a21\u7248)\n", "     - [2.4 \u6784\u5efa\u5927\u8bed\u8a00\u6a21\u578b\u94fe](#2.4-\u6784\u5efa\u5927\u8bed\u8a00\u6a21\u578b\u94fe)\n", "     - [2.5 \u8fd0\u884c\u5927\u8bed\u8a00\u6a21\u578b\u94fe](#2.5-\u8fd0\u884c\u5927\u8bed\u8a00\u6a21\u578b\u94fe)\n", "     - [2.6 \u4e2d\u6587\u63d0\u793a](#2.6-\u4e2d\u6587\u63d0\u793a)\n", " - [\u4e09\u3001\u987a\u5e8f\u94fe](#\u4e09\u3001\u987a\u5e8f\u94fe)\n", "     - [3.1 \u7b80\u5355\u987a\u5e8f\u94fe](#3.1-\u7b80\u5355\u987a\u5e8f\u94fe)\n", "         - [3.1.1 \u521b\u5efa\u4e24\u4e2a\u5b50\u94fe](#3.1.1-\u521b\u5efa\u4e24\u4e2a\u5b50\u94fe)\n", "         - [3.1.2 \u6784\u5efa\u7b80\u5355\u987a\u5e8f\u94fe](#3.1.2-\u6784\u5efa\u7b80\u5355\u987a\u5e8f\u94fe)\n", "         - [3.1.3 \u8fd0\u884c\u7b80\u5355\u987a\u5e8f\u94fe](#3.1.3-\u8fd0\u884c\u7b80\u5355\u987a\u5e8f\u94fe)\n", "         - [3.1.4 \u4e2d\u6587\u63d0\u793a](#3.1.4-\u4e2d\u6587\u63d0\u793a)\n", "     - [3.2 \u987a\u5e8f\u94fe](#3.2-\u987a\u5e8f\u94fe)\n", "         - [3.2.1 \u521b\u5efa\u56db\u4e2a\u5b50\u94fe](#3.2.1-\u521b\u5efa\u56db\u4e2a\u5b50\u94fe)\n", "         - [3.2.2 \u5bf9\u56db\u4e2a\u5b50\u94fe\u8fdb\u884c\u7ec4\u5408](#3.2.2-\u5bf9\u56db\u4e2a\u5b50\u94fe\u8fdb\u884c\u7ec4\u5408)\n", "         - [3.2.3 \u4e2d\u6587\u63d0\u793a](#3.2.3-\u4e2d\u6587\u63d0\u793a)\n", " - [\u56db\u3001 \u8def\u7531\u94fe](#\u56db\u3001-\u8def\u7531\u94fe)\n", "     - [4.1 \u5b9a\u4e49\u63d0\u793a\u6a21\u677f](#4.1-\u5b9a\u4e49\u63d0\u793a\u6a21\u677f)\n", "     - [4.2 \u5bf9\u63d0\u793a\u6a21\u7248\u8fdb\u884c\u547d\u540d\u548c\u63cf\u8ff0](#4.2-\u5bf9\u63d0\u793a\u6a21\u7248\u8fdb\u884c\u547d\u540d\u548c\u63cf\u8ff0)\n", "     - [4.3 \u57fa\u4e8e\u63d0\u793a\u6a21\u7248\u4fe1\u606f\u521b\u5efa\u76f8\u5e94\u76ee\u6807\u94fe  ](#4.3-\u57fa\u4e8e\u63d0\u793a\u6a21\u7248\u4fe1\u606f\u521b\u5efa\u76f8\u5e94\u76ee\u6807\u94fe--)\n", "     - [4.4 \u521b\u5efa\u9ed8\u8ba4\u76ee\u6807\u94fe](#4.4-\u521b\u5efa\u9ed8\u8ba4\u76ee\u6807\u94fe)\n", "     - [4.5 \u5b9a\u4e49\u4e0d\u540c\u94fe\u4e4b\u95f4\u7684\u8def\u7531\u6a21\u677f](#4.5-\u5b9a\u4e49\u4e0d\u540c\u94fe\u4e4b\u95f4\u7684\u8def\u7531\u6a21\u677f)\n", "     - [4.6 \u6784\u5efa\u8def\u7531\u94fe](#4.6-\u6784\u5efa\u8def\u7531\u94fe)\n", "     - [4.7 \u521b\u5efa\u6574\u4f53\u94fe\u8def](#4.7-\u521b\u5efa\u6574\u4f53\u94fe\u8def)\n", "     - [4.8 \u8fdb\u884c\u63d0\u95ee](#4.8-\u8fdb\u884c\u63d0\u95ee)\n", "     - [4.9 \u4e2d\u6587\u63d0\u793a](#4.9-\u4e2d\u6587\u63d0\u793a)\n"]}, {"cell_type": "markdown", "id": "54810ef7", "metadata": {}, "source": ["\u94fe\uff08Chains\uff09\u901a\u5e38\u5c06\u5927\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u4e0e\u63d0\u793a(Prompt)\u7ed3\u5408\u5728\u4e00\u8d77\uff0c\u57fa\u4e8e\u6b64\uff0c\u6211\u4eec\u53ef\u4ee5\u5bf9\u6587\u672c\u6216\u6570\u636e\u8fdb\u884c\u4e00\u7cfb\u5217\u64cd\u4f5c\u3002\n", "\n", "\u94fe\uff08Chains\uff09\u53ef\u4ee5\u4e00\u6b21\u6027\u63a5\u53d7\u591a\u4e2a\u8f93\u5165\n", "\n", "\u4f8b\u5982\uff0c\u6211\u4eec\u53ef\u4ee5\u521b\u5efa\u4e00\u4e2a\u94fe\uff0c\u8be5\u94fe\u63a5\u53d7\u7528\u6237\u8f93\u5165\uff0c\u4f7f\u7528\u63d0\u793a\u6a21\u677f\u5bf9\u5176\u8fdb\u884c\u683c\u5f0f\u5316\uff0c\u7136\u540e\u5c06\u683c\u5f0f\u5316\u7684\u54cd\u5e94\u4f20\u9012\u7ed9LLM\u3002\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u5c06\u591a\u4e2a\u94fe\u7ec4\u5408\u5728\u4e00\u8d77\uff0c\u6216\u8005\u901a\u8fc7\u5c06\u94fe\u4e0e\u5176\u4ed6\u7ec4\u4ef6\u7ec4\u5408\u5728\u4e00\u8d77\u6765\u6784\u5efa\u66f4\u590d\u6742\u7684\u94fe\u3002"]}, {"cell_type": "markdown", "id": "21009bf6-49bd-466e-8177-74c23533d938", "metadata": {"tags": []}, "source": ["## \u4e00\u3001\u8bbe\u7f6eOpenAI API Key"]}, {"cell_type": "markdown", "id": "a2f5993b-f28d-4be4-984f-2d05be9f4579", "metadata": {}, "source": ["\u767b\u9646 [OpenAI \u8d26\u6237](https://platform.openai.com/account/api-keys) \u83b7\u53d6API Key\uff0c\u7136\u540e\u5c06\u5176\u8bbe\u7f6e\u4e3a\u73af\u5883\u53d8\u91cf\u3002\n", "\n", "- \u5982\u679c\u4f60\u60f3\u8981\u8bbe\u7f6e\u4e3a\u5168\u5c40\u73af\u5883\u53d8\u91cf\uff0c\u53ef\u4ee5\u53c2\u8003[\u77e5\u4e4e\u6587\u7ae0](https://zhuanlan.zhihu.com/p/627665725)\u3002\n", "- \u5982\u679c\u4f60\u60f3\u8981\u8bbe\u7f6e\u4e3a\u672c\u5730/\u9879\u76ee\u73af\u5883\u53d8\u91cf\uff0c\u5728\u672c\u6587\u4ef6\u76ee\u5f55\u4e0b\u521b\u5efa`.env`\u6587\u4ef6, \u6253\u5f00\u6587\u4ef6\u8f93\u5165\u4ee5\u4e0b\u5185\u5bb9\u3002\n", "\n", "    <p style=\"font-family:verdana; font-size:12px;color:green\">\n", "    OPENAI_API_KEY=\"your_api_key\" \n", "    </p>\n", "  \n", "  \u66ff\u6362\"your_api_key\"\u4e3a\u4f60\u81ea\u5df1\u7684 API Key"]}, {"cell_type": "code", "execution_count": 10, "id": "adc3519c-4d12-4011-9223-2f3cb3c42b93", "metadata": {}, "outputs": [], "source": ["# \u4e0b\u8f7d\u9700\u8981\u7684\u5305python-dotenv\u548copenai\n", "# \u5982\u679c\u4f60\u9700\u8981\u67e5\u770b\u5b89\u88c5\u8fc7\u7a0b\u65e5\u5fd7\uff0c\u53ef\u5220\u9664 -q \n", "!pip install -q python-dotenv\n", "!pip install -q openai"]}, {"cell_type": "code", "execution_count": 11, "id": "1ad53241-bef6-42b8-894b-bcbbc8c64df7", "metadata": {"tags": []}, "outputs": [], "source": ["import os\n", "import openai\n", "from dotenv import load_dotenv, find_dotenv\n", "\n", "# \u8bfb\u53d6\u672c\u5730/\u9879\u76ee\u7684\u73af\u5883\u53d8\u91cf\u3002\n", "\n", "# find_dotenv()\u5bfb\u627e\u5e76\u5b9a\u4f4d.env\u6587\u4ef6\u7684\u8def\u5f84\n", "# load_dotenv()\u8bfb\u53d6\u8be5.env\u6587\u4ef6\uff0c\u5e76\u5c06\u5176\u4e2d\u7684\u73af\u5883\u53d8\u91cf\u52a0\u8f7d\u5230\u5f53\u524d\u7684\u8fd0\u884c\u73af\u5883\u4e2d  \n", "# \u5982\u679c\u4f60\u8bbe\u7f6e\u7684\u662f\u5168\u5c40\u7684\u73af\u5883\u53d8\u91cf\uff0c\u8fd9\u884c\u4ee3\u7801\u5219\u6ca1\u6709\u4efb\u4f55\u4f5c\u7528\u3002\n", "_ = load_dotenv(find_dotenv())\n", "\n", "# \u83b7\u53d6\u73af\u5883\u53d8\u91cf OPENAI_API_KEY\n", "openai.api_key = os.environ['OPENAI_API_KEY']  "]}, {"cell_type": "markdown", "id": "b940ce7c", "metadata": {"tags": []}, "source": ["## \u4e8c\u3001\u5927\u8bed\u8a00\u6a21\u578b\u94fe"]}, {"cell_type": "markdown", "id": "e000bd16", "metadata": {}, "source": ["\u5927\u8bed\u8a00\u6a21\u578b\u94fe(LLMChain)\u662f\u4e00\u4e2a\u7b80\u5355\u4f46\u975e\u5e38\u5f3a\u5927\u7684\u94fe\uff0c\u4e5f\u662f\u540e\u9762\u6211\u4eec\u5c06\u8981\u4ecb\u7ecd\u7684\u8bb8\u591a\u94fe\u7684\u57fa\u7840\u3002"]}, {"cell_type": "markdown", "id": "d57e93b9-52ba-4f86-a953-e4661b895a3d", "metadata": {}, "source": ["### 2.1 \u5bfc\u5165\u6570\u636e"]}, {"cell_type": "code", "execution_count": 1, "id": "b84e441b", "metadata": {}, "outputs": [], "source": ["!pip install -q pandas"]}, {"cell_type": "code", "execution_count": 4, "id": "974acf8e-8f88-42de-88f8-40a82cb58e8b", "metadata": {}, "outputs": [], "source": ["import pandas as pd\n", "df = pd.read_csv('data/Data.csv')"]}, {"cell_type": "code", "execution_count": 5, "id": "b7a09c35", "metadata": {}, "outputs": [{"data": {"text/html": ["<div>\n", "<style scoped>\n", "    .dataframe tbody tr th:only-of-type {\n", "        vertical-align: middle;\n", "    }\n", "\n", "    .dataframe tbody tr th {\n", "        vertical-align: top;\n", "    }\n", "\n", "    .dataframe thead th {\n", "        text-align: right;\n", "    }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", "  <thead>\n", "    <tr style=\"text-align: right;\">\n", "      <th></th>\n", "      <th>Product</th>\n", "      <th>Review</th>\n", "    </tr>\n", "  </thead>\n", "  <tbody>\n", "    <tr>\n", "      <th>0</th>\n", "      <td>Queen Size Sheet Set</td>\n", "      <td>I ordered a king size set. My only criticism w...</td>\n", "    </tr>\n", "    <tr>\n", "      <th>1</th>\n", "      <td>Waterproof Phone Pouch</td>\n", "      <td>I loved the waterproof sac, although the openi...</td>\n", "    </tr>\n", "    <tr>\n", "      <th>2</th>\n", "      <td>Luxury Air Mattress</td>\n", "      <td>This mattress had a small hole in the top of i...</td>\n", "    </tr>\n", "    <tr>\n", "      <th>3</th>\n", "      <td>Pillows Insert</td>\n", "      <td>This is the best throw pillow fillers on Amazo...</td>\n", "    </tr>\n", "    <tr>\n", "      <th>4</th>\n", "      <td>Milk Frother Handheld\\n</td>\n", "      <td>I loved this product. But they only seem to l...</td>\n", "    </tr>\n", "  </tbody>\n", "</table>\n", "</div>"], "text/plain": ["                   Product                                             Review\n", "0     Queen Size Sheet Set  I ordered a king size set. My only criticism w...\n", "1   Waterproof Phone Pouch  I loved the waterproof sac, although the openi...\n", "2      Luxury Air Mattress  This mattress had a small hole in the top of i...\n", "3           Pillows Insert  This is the best throw pillow fillers on Amazo...\n", "4  Milk Frother Handheld\\n  \u00a0I loved this product. But they only seem to l..."]}, "execution_count": 5, "metadata": {}, "output_type": "execute_result"}], "source": ["df.head()"]}, {"cell_type": "markdown", "id": "daa83d10-04ee-4355-abe3-ab699c9eaca9", "metadata": {}, "source": ["### 2.2 \u521d\u59cb\u5316\u8bed\u8a00\u6a21\u578b"]}, {"cell_type": "code", "execution_count": 8, "id": "e92dff22", "metadata": {}, "outputs": [], "source": ["from langchain.chat_models import ChatOpenAI \n", "from langchain.prompts import ChatPromptTemplate  \n", "from langchain.chains import LLMChain   "]}, {"cell_type": "code", "execution_count": 13, "id": "943237a7", "metadata": {}, "outputs": [], "source": ["# \u8fd9\u91cc\u6211\u4eec\u5c06\u53c2\u6570temperature\u8bbe\u7f6e\u4e3a0.0\uff0c\u4ece\u800c\u51cf\u5c11\u751f\u6210\u7b54\u6848\u7684\u968f\u673a\u6027\u3002\n", "# \u5982\u679c\u4f60\u60f3\u8981\u6bcf\u6b21\u5f97\u5230\u4e0d\u4e00\u6837\u7684\u6709\u65b0\u610f\u7684\u7b54\u6848\uff0c\u53ef\u4ee5\u5c1d\u8bd5\u8c03\u6574\u8be5\u53c2\u6570\u3002\n", "llm = ChatOpenAI(temperature=0.0)  "]}, {"cell_type": "markdown", "id": "81887434", "metadata": {}, "source": ["### 2.3 \u521d\u59cb\u5316\u63d0\u793a\u6a21\u7248\n", "\u521d\u59cb\u5316\u63d0\u793a\uff0c\u8fd9\u4e2a\u63d0\u793a\u5c06\u63a5\u53d7\u4e00\u4e2a\u540d\u4e3aproduct\u7684\u53d8\u91cf\u3002\u8be5prompt\u5c06\u8981\u6c42LLM\u751f\u6210\u4e00\u4e2a\u63cf\u8ff0\u5236\u9020\u8be5\u4ea7\u54c1\u7684\u516c\u53f8\u7684\u6700\u4f73\u540d\u79f0"]}, {"cell_type": "code", "execution_count": 14, "id": "cdcdb42d", "metadata": {}, "outputs": [], "source": ["prompt = ChatPromptTemplate.from_template(   \n", "    \"What is the best name to describe \\\n", "    a company that makes {product}?\"\n", ")"]}, {"cell_type": "markdown", "id": "5c22cb13", "metadata": {}, "source": ["### 2.4 \u6784\u5efa\u5927\u8bed\u8a00\u6a21\u578b\u94fe\n", "\n", "\u5c06\u5927\u8bed\u8a00\u6a21\u578b(LLM)\u548c\u63d0\u793a\uff08Prompt\uff09\u7ec4\u5408\u6210\u94fe\u3002\u8fd9\u4e2a\u5927\u8bed\u8a00\u6a21\u578b\u94fe\u975e\u5e38\u7b80\u5355\uff0c\u53ef\u4ee5\u8ba9\u6211\u4eec\u4ee5\u4e00\u79cd\u987a\u5e8f\u7684\u65b9\u5f0f\u53bb\u901a\u8fc7\u8fd0\u884c\u63d0\u793a\u5e76\u4e14\u7ed3\u5408\u5230\u5927\u8bed\u8a00\u6a21\u578b\u4e2d\u3002"]}, {"cell_type": "code", "execution_count": 15, "id": "d7abc20b", "metadata": {}, "outputs": [], "source": ["chain = LLMChain(llm=llm, prompt=prompt)"]}, {"cell_type": "markdown", "id": "8d7d5ff6", "metadata": {}, "source": ["### 2.5 \u8fd0\u884c\u5927\u8bed\u8a00\u6a21\u578b\u94fe\n", "\u56e0\u6b64\uff0c\u5982\u679c\u6211\u4eec\u6709\u4e00\u4e2a\u540d\u4e3a\"Queen Size Sheet Set\"\u7684\u4ea7\u54c1\uff0c\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u4f7f\u7528chain.run\u5c06\u5176\u901a\u8fc7\u8fd9\u4e2a\u94fe\u8fd0\u884c"]}, {"cell_type": "code", "execution_count": 9, "id": "ad44d1fb", "metadata": {}, "outputs": [{"data": {"text/plain": ["'Royal Linens.'"]}, "execution_count": 9, "metadata": {}, "output_type": "execute_result"}], "source": ["product = \"Queen Size Sheet Set\"\n", "chain.run(product)"]}, {"cell_type": "markdown", "id": "1e1ede1c", "metadata": {}, "source": ["\u60a8\u53ef\u4ee5\u8f93\u5165\u4efb\u4f55\u4ea7\u54c1\u63cf\u8ff0\uff0c\u7136\u540e\u67e5\u770b\u94fe\u5c06\u8f93\u51fa\u4ec0\u4e48\u7ed3\u679c"]}, {"cell_type": "markdown", "id": "8ab31583-5cdf-4885-94d7-59c0d3b90b2e", "metadata": {}, "source": ["### 2.6 \u4e2d\u6587\u63d0\u793a"]}, {"cell_type": "code", "execution_count": 16, "id": "2181be10", "metadata": {}, "outputs": [{"data": {"text/plain": ["'\"\u8c6a\u534e\u5e8a\u7eba\"'"]}, "execution_count": 16, "metadata": {}, "output_type": "execute_result"}], "source": ["prompt = ChatPromptTemplate.from_template(   \n", "    \"\u63cf\u8ff0\u5236\u9020{product}\u7684\u4e00\u4e2a\u516c\u53f8\u7684\u6700\u4f73\u540d\u79f0\u662f\u4ec0\u4e48?\"\n", ")\n", "chain = LLMChain(llm=llm, prompt=prompt)\n", "product = \"\u5927\u53f7\u5e8a\u5355\u5957\u88c5\"\n", "chain.run(product)"]}, {"cell_type": "markdown", "id": "49158430", "metadata": {}, "source": ["## \u4e09\u3001\u987a\u5e8f\u94fe"]}, {"cell_type": "markdown", "id": "69b03469", "metadata": {}, "source": ["### 3.1 \u7b80\u5355\u987a\u5e8f\u94fe\n", "\n", "\u987a\u5e8f\u94fe\uff08SequentialChains\uff09\u662f\u6309\u9884\u5b9a\u4e49\u987a\u5e8f\u6267\u884c\u5176\u94fe\u63a5\u7684\u94fe\u3002\u5177\u4f53\u6765\u8bf4\uff0c\u6211\u4eec\u5c06\u4f7f\u7528\u7b80\u5355\u987a\u5e8f\u94fe\uff08SimpleSequentialChain\uff09\uff0c\u8fd9\u662f\u987a\u5e8f\u94fe\u7684\u6700\u7b80\u5355\u7c7b\u578b\uff0c\u5176\u4e2d\u6bcf\u4e2a\u6b65\u9aa4\u90fd\u6709\u4e00\u4e2a\u8f93\u5165/\u8f93\u51fa\uff0c\u4e00\u4e2a\u6b65\u9aa4\u7684\u8f93\u51fa\u662f\u4e0b\u4e00\u4e2a\u6b65\u9aa4\u7684\u8f93\u5165\u3002"]}, {"cell_type": "code", "execution_count": 28, "id": "febee243", "metadata": {}, "outputs": [], "source": ["from langchain.chains import SimpleSequentialChain"]}, {"cell_type": "code", "execution_count": 22, "id": "5d019d6f", "metadata": {}, "outputs": [], "source": ["llm = ChatOpenAI(temperature=0.9)"]}, {"cell_type": "markdown", "id": "0e732589", "metadata": {}, "source": ["#### 3.1.1 \u521b\u5efa\u4e24\u4e2a\u5b50\u94fe"]}, {"cell_type": "code", "execution_count": 23, "id": "2f31aa8a", "metadata": {}, "outputs": [], "source": ["# \u63d0\u793a\u6a21\u677f 1 \uff1a\u8fd9\u4e2a\u63d0\u793a\u5c06\u63a5\u53d7\u4ea7\u54c1\u5e76\u8fd4\u56de\u6700\u4f73\u540d\u79f0\u6765\u63cf\u8ff0\u8be5\u516c\u53f8\n", "first_prompt = ChatPromptTemplate.from_template(\n", "    \"What is the best name to describe \\\n", "    a company that makes {product}?\"\n", ")\n", "\n", "# Chain 1\n", "chain_one = LLMChain(llm=llm, prompt=first_prompt)"]}, {"cell_type": "code", "execution_count": 24, "id": "3f5d5b76", "metadata": {}, "outputs": [], "source": ["\n", "# \u63d0\u793a\u6a21\u677f 2 \uff1a\u63a5\u53d7\u516c\u53f8\u540d\u79f0\uff0c\u7136\u540e\u8f93\u51fa\u8be5\u516c\u53f8\u7684\u957f\u4e3a20\u4e2a\u5355\u8bcd\u7684\u63cf\u8ff0\n", "second_prompt = ChatPromptTemplate.from_template(\n", "    \"Write a 20 words description for the following \\\n", "    company:{company_name}\"\n", ")\n", "# chain 2\n", "chain_two = LLMChain(llm=llm, prompt=second_prompt)"]}, {"cell_type": "markdown", "id": "3a1991f4", "metadata": {}, "source": ["#### 3.1.2 \u6784\u5efa\u7b80\u5355\u987a\u5e8f\u94fe\n", "\u73b0\u5728\u6211\u4eec\u53ef\u4ee5\u7ec4\u5408\u4e24\u4e2aLLMChain\uff0c\u4ee5\u4fbf\u6211\u4eec\u53ef\u4ee5\u5728\u4e00\u4e2a\u6b65\u9aa4\u4e2d\u521b\u5efa\u516c\u53f8\u540d\u79f0\u548c\u63cf\u8ff0"]}, {"cell_type": "code", "execution_count": 25, "id": "6c1eb2c4", "metadata": {}, "outputs": [], "source": ["overall_simple_chain = SimpleSequentialChain(chains=[chain_one, chain_two], verbose=True)"]}, {"cell_type": "markdown", "id": "5122f26a", "metadata": {}, "source": ["\u7ed9\u4e00\u4e2a\u8f93\u5165\uff0c\u7136\u540e\u8fd0\u884c\u4e0a\u9762\u7684\u94fe"]}, {"cell_type": "markdown", "id": "9a80d102-da6b-49f4-8abd-7bff97211232", "metadata": {}, "source": ["#### 3.1.3 \u8fd0\u884c\u7b80\u5355\u987a\u5e8f\u94fe"]}, {"cell_type": "code", "execution_count": 27, "id": "78458efe", "metadata": {}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["\n", "\n", "\u001b[1m> Entering new  chain...\u001b[0m\n", "\u001b[36;1m\u001b[1;3mRoyal Rest Linens\u001b[0m\n", "\u001b[33;1m\u001b[1;3mRoyal Rest Linens provides high-quality and luxurious linens for a comfortable and restful night's sleep.\u001b[0m\n", "\n", "\u001b[1m> Finished chain.\u001b[0m\n"]}, {"data": {"text/plain": ["\"Royal Rest Linens provides high-quality and luxurious linens for a comfortable and restful night's sleep.\""]}, "execution_count": 27, "metadata": {}, "output_type": "execute_result"}], "source": ["product = \"Queen Size Sheet Set\"\n", "overall_simple_chain.run(product)"]}, {"cell_type": "markdown", "id": "3983eb68-adf0-4c18-beed-ff6fc09cd78b", "metadata": {}, "source": ["#### 3.1.4 \u4e2d\u6587\u63d0\u793a"]}, {"cell_type": "code", "execution_count": 19, "id": "c7c32997", "metadata": {}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["\n", "\n", "\u001b[1m> Entering new SimpleSequentialChain chain...\u001b[0m\n", "\u001b[36;1m\u001b[1;3m\"\u5c3a\u5bf8\u738b\u5e8a\u54c1\u6709\u9650\u516c\u53f8\"\u001b[0m\n", "\u001b[33;1m\u001b[1;3m\u5c3a\u5bf8\u738b\u5e8a\u54c1\u6709\u9650\u516c\u53f8\u662f\u4e00\u5bb6\u4e13\u6ce8\u4e8e\u5e8a\u4e0a\u7528\u54c1\u751f\u4ea7\u7684\u516c\u53f8\u3002\u001b[0m\n", "\n", "\u001b[1m> Finished chain.\u001b[0m\n"]}, {"data": {"text/plain": ["'\u5c3a\u5bf8\u738b\u5e8a\u54c1\u6709\u9650\u516c\u53f8\u662f\u4e00\u5bb6\u4e13\u6ce8\u4e8e\u5e8a\u4e0a\u7528\u54c1\u751f\u4ea7\u7684\u516c\u53f8\u3002'"]}, "execution_count": 19, "metadata": {}, "output_type": "execute_result"}], "source": ["# \u4e2d\u6587\n", "\n", "first_prompt = ChatPromptTemplate.from_template(   \n", "    \"\u63cf\u8ff0\u5236\u9020{product}\u7684\u4e00\u4e2a\u516c\u53f8\u7684\u6700\u597d\u7684\u540d\u79f0\u662f\u4ec0\u4e48\"\n", ")\n", "chain_one = LLMChain(llm=llm, prompt=first_prompt)\n", "\n", "second_prompt = ChatPromptTemplate.from_template(   \n", "    \"\u5199\u4e00\u4e2a20\u5b57\u7684\u63cf\u8ff0\u5bf9\u4e8e\u4e0b\u9762\u8fd9\u4e2a\\\n", "    \u516c\u53f8\uff1a{company_name}\u7684\"\n", ")\n", "chain_two = LLMChain(llm=llm, prompt=second_prompt)\n", "\n", "\n", "overall_simple_chain = SimpleSequentialChain(chains=[chain_one, chain_two],verbose=True)\n", "product = \"\u5927\u53f7\u5e8a\u5355\u5957\u88c5\"\n", "overall_simple_chain.run(product)"]}, {"cell_type": "markdown", "id": "7b5ce18c", "metadata": {}, "source": ["### 3.2 \u987a\u5e8f\u94fe"]}, {"cell_type": "markdown", "id": "1e69f4c0", "metadata": {}, "source": ["\u5f53\u53ea\u6709\u4e00\u4e2a\u8f93\u5165\u548c\u4e00\u4e2a\u8f93\u51fa\u65f6\uff0c\u7b80\u5355\u987a\u5e8f\u94fe\uff08SimpleSequentialChain\uff09\u5373\u53ef\u5b9e\u73b0\u3002\u5f53\u6709\u591a\u4e2a\u8f93\u5165\u6216\u591a\u4e2a\u8f93\u51fa\u65f6\uff0c\u6211\u4eec\u5219\u9700\u8981\u4f7f\u7528\u987a\u5e8f\u94fe\uff08SequentialChain\uff09\u6765\u5b9e\u73b0\u3002"]}, {"cell_type": "code", "execution_count": 29, "id": "4c129ef6", "metadata": {}, "outputs": [], "source": ["from langchain.chains import SequentialChain\n", "from langchain.chat_models import ChatOpenAI    #\u5bfc\u5165OpenAI\u6a21\u578b\n", "from langchain.prompts import ChatPromptTemplate   #\u5bfc\u5165\u804a\u5929\u63d0\u793a\u6a21\u677f\n", "from langchain.chains import LLMChain    #\u5bfc\u5165LLM\u94fe\u3002"]}, {"cell_type": "code", "execution_count": 30, "id": "03a8e203", "metadata": {}, "outputs": [], "source": ["llm = ChatOpenAI(temperature=0.9)"]}, {"cell_type": "markdown", "id": "9811445c", "metadata": {}, "source": ["\u63a5\u4e0b\u6765\u6211\u4eec\u5c06\u521b\u5efa\u4e00\u7cfb\u5217\u7684\u94fe\uff0c\u7136\u540e\u4e00\u4e2a\u63a5\u4e00\u4e2a\u4f7f\u7528\u4ed6\u4eec"]}, {"cell_type": "markdown", "id": "df9e87ec-b99a-4130-a5b5-cdce064dc6ca", "metadata": {}, "source": ["#### 3.2.1 \u521b\u5efa\u56db\u4e2a\u5b50\u94fe"]}, {"cell_type": "code", "execution_count": 38, "id": "016187ac", "metadata": {}, "outputs": [], "source": ["#\u5b50\u94fe1\n", "\n", "# prompt\u6a21\u677f 1: \u7ffb\u8bd1\u6210\u82f1\u8bed\uff08\u628a\u4e0b\u9762\u7684review\u7ffb\u8bd1\u6210\u82f1\u8bed\uff09\n", "first_prompt = ChatPromptTemplate.from_template(\n", "    \"Translate the following review to english:\"\n", "    \"\\n\\n{Review}\"\n", ")\n", "# chain 1: \u8f93\u5165\uff1aReview \u8f93\u51fa\uff1a \u82f1\u6587\u7684 Review\n", "chain_one = LLMChain(llm=llm, prompt=first_prompt, output_key=\"English_Review\")"]}, {"cell_type": "code", "execution_count": 39, "id": "0fb0730e", "metadata": {}, "outputs": [], "source": ["#\u5b50\u94fe2\n", "\n", "# prompt\u6a21\u677f 2: \u7528\u4e00\u53e5\u8bdd\u603b\u7ed3\u4e0b\u9762\u7684 review\n", "second_prompt = ChatPromptTemplate.from_template(\n", "    \"Can you summarize the following review in 1 sentence:\"\n", "    \"\\n\\n{English_Review}\"\n", ")\n", "# chain 2: \u8f93\u5165\uff1a\u82f1\u6587\u7684Review   \u8f93\u51fa\uff1a\u603b\u7ed3\n", "chain_two = LLMChain(llm=llm, prompt=second_prompt, output_key=\"summary\")\n"]}, {"cell_type": "code", "execution_count": 40, "id": "6accf92d", "metadata": {}, "outputs": [], "source": ["#\u5b50\u94fe3\n", "\n", "# prompt\u6a21\u677f 3: \u4e0b\u9762review\u4f7f\u7528\u7684\u4ec0\u4e48\u8bed\u8a00\n", "third_prompt = ChatPromptTemplate.from_template(\n", "    \"What language is the following review:\\n\\n{Review}\"\n", ")\n", "# chain 3: \u8f93\u5165\uff1aReview  \u8f93\u51fa\uff1a\u8bed\u8a00\n", "chain_three = LLMChain(llm=llm, prompt=third_prompt, output_key=\"language\")\n"]}, {"cell_type": "code", "execution_count": 41, "id": "c7a46121", "metadata": {}, "outputs": [], "source": ["#\u5b50\u94fe4\n", "\n", "# prompt\u6a21\u677f 4: \u4f7f\u7528\u7279\u5b9a\u7684\u8bed\u8a00\u5bf9\u4e0b\u9762\u7684\u603b\u7ed3\u5199\u4e00\u4e2a\u540e\u7eed\u56de\u590d\n", "fourth_prompt = ChatPromptTemplate.from_template(\n", "    \"Write a follow up response to the following \"\n", "    \"summary in the specified language:\"\n", "    \"\\n\\nSummary: {summary}\\n\\nLanguage: {language}\"\n", ")\n", "# chain 4: \u8f93\u5165\uff1a \u603b\u7ed3, \u8bed\u8a00    \u8f93\u51fa\uff1a \u540e\u7eed\u56de\u590d\n", "chain_four = LLMChain(llm=llm, prompt=fourth_prompt, output_key=\"followup_message\")\n"]}, {"cell_type": "markdown", "id": "ff435291-5d20-4c3e-9ed7-76a1140f96d2", "metadata": {}, "source": ["#### 3.2.2 \u5bf9\u56db\u4e2a\u5b50\u94fe\u8fdb\u884c\u7ec4\u5408"]}, {"cell_type": "code", "execution_count": 42, "id": "89603117", "metadata": {}, "outputs": [], "source": ["#\u8f93\u5165\uff1areview    \n", "#\u8f93\u51fa\uff1a\u82f1\u6587review\uff0c\u603b\u7ed3\uff0c\u540e\u7eed\u56de\u590d \n", "overall_chain = SequentialChain(\n", "    chains=[chain_one, chain_two, chain_three, chain_four],\n", "    input_variables=[\"Review\"],\n", "    output_variables=[\"English_Review\", \"summary\",\"followup_message\"],\n", "    verbose=True\n", ")"]}, {"cell_type": "markdown", "id": "0509de01", "metadata": {}, "source": ["\u8ba9\u6211\u4eec\u9009\u62e9\u4e00\u7bc7\u8bc4\u8bba\u5e76\u901a\u8fc7\u6574\u4e2a\u94fe\u4f20\u9012\u5b83\uff0c\u53ef\u4ee5\u53d1\u73b0\uff0c\u539f\u59cbreview\u662f\u6cd5\u8bed\uff0c\u53ef\u4ee5\u628a\u82f1\u6587review\u770b\u505a\u662f\u4e00\u79cd\u7ffb\u8bd1\uff0c\u63a5\u4e0b\u6765\u662f\u6839\u636e\u82f1\u6587review\u5f97\u5230\u7684\u603b\u7ed3\uff0c\u6700\u540e\u8f93\u51fa\u7684\u662f\u7528\u6cd5\u8bed\u539f\u6587\u8fdb\u884c\u7684\u7eed\u5199\u4fe1\u606f\u3002"]}, {"cell_type": "code", "execution_count": 43, "id": "51b04f45", "metadata": {}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["\n", "\n", "\u001b[1m> Entering new  chain...\u001b[0m\n", "\n", "\u001b[1m> Finished chain.\u001b[0m\n"]}, {"data": {"text/plain": ["{'Review': \"Je trouve le go\u00fbt m\u00e9diocre. La mousse ne tient pas, c'est bizarre. J'ach\u00e8te les m\u00eames dans le commerce et le go\u00fbt est bien meilleur...\\nVieux lot ou contrefa\u00e7on !?\",\n", " 'English_Review': \"I find the taste mediocre. The foam doesn't hold, it's weird. I buy the same ones in the store and the taste is much better...\\nOld batch or counterfeit!?\",\n", " 'summary': 'The reviewer is disappointed with the taste and consistency of the product, suspecting that either an old batch or counterfeit version is the cause.',\n", " 'followup_message': \"R\u00e9ponse de suivi :\\n\\nCher(e) critique,\\n\\nNous sommes d\u00e9sol\u00e9s d'apprendre que notre produit ne r\u00e9pond pas \u00e0 vos attentes. Nous prenons tr\u00e8s au s\u00e9rieux les commentaires de nos clients et nous tenons \u00e0 vous rassurer que nous attachons une grande importance \u00e0 la qualit\u00e9 de nos produits.\\n\\nNous v\u00e9rifions constamment nos processus de production afin de nous assurer que nos produits sont toujours frais et authentiques. Si vous pensez avoir re\u00e7u un produit contrefait ou un lot p\u00e9rim\u00e9, nous vous prions de nous contacter directement afin de r\u00e9soudre ce probl\u00e8me au plus vite. Nous avons un service client d\u00e9di\u00e9 qui sera ravi de vous aider avec votre pr\u00e9occupation.\\n\\nNous tenons \u00e0 nous excuser pour toute d\u00e9ception ou d\u00e9sagr\u00e9ment que cela aurait pu causer. Votre satisfaction est notre priorit\u00e9 absolue et nous ferons tout notre possible pour rem\u00e9dier \u00e0 la situation et regagner votre confiance.\\n\\nNous vous remercions de votre compr\u00e9hension et de votre patience. Votre avis est important pour nous et nous esp\u00e9rons avoir l'occasion de nous rattraper \u00e0 l'avenir.\\n\\nCordialement,\\nL'\u00e9quipe de [Nom de l'entreprise]\"}"]}, "execution_count": 43, "metadata": {}, "output_type": "execute_result"}], "source": ["review = df.Review[5]\n", "overall_chain(review)"]}, {"cell_type": "markdown", "id": "18d72f1d-8a1e-4eb6-b00f-1963b3cf3adb", "metadata": {}, "source": ["#### 3.2.3 \u4e2d\u6587\u63d0\u793a"]}, {"cell_type": "code", "execution_count": 37, "id": "31624a7c", "metadata": {}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["\n", "\n", "\u001b[1m> Entering new  chain...\u001b[0m\n", "\n", "\u001b[1m> Finished chain.\u001b[0m\n"]}, {"data": {"text/plain": ["{'Review': \"Je trouve le go\u00fbt m\u00e9diocre. La mousse ne tient pas, c'est bizarre. J'ach\u00e8te les m\u00eames dans le commerce et le go\u00fbt est bien meilleur...\\nVieux lot ou contrefa\u00e7on !?\",\n", " 'English_Review': \"I find the taste mediocre. The foam doesn't last, it's weird. I buy the same ones from the store and the taste is much better...\\nOld batch or counterfeit!?\",\n", " 'summary': \"The taste is mediocre, the foam doesn't last, and there is suspicion of old batch or counterfeit.\",\n", " 'followup_message': \"\u56de\u590d: Je suis d\u00e9sol\u00e9 de vous entendre dire que le go\u00fbt est moyen et que la mousse ne dure pas longtemps. Nous prenons ces probl\u00e8mes tr\u00e8s au s\u00e9rieux. Nous allons enqu\u00eater pour v\u00e9rifier s'il s'agit d'un ancien lot ou d'une contrefa\u00e7on. Votre satisfaction est notre priorit\u00e9 et nous ferons de notre mieux pour r\u00e9soudre ce probl\u00e8me. Merci de nous avoir inform\u00e9s.\"}"]}, "execution_count": 37, "metadata": {}, "output_type": "execute_result"}], "source": ["# \u4e2d\u6587\n", "\n", "#\u5b50\u94fe1\n", "# prompt\u6a21\u677f 1: \u7ffb\u8bd1\u6210\u82f1\u8bed\uff08\u628a\u4e0b\u9762\u7684review\u7ffb\u8bd1\u6210\u82f1\u8bed\uff09\n", "first_prompt = ChatPromptTemplate.from_template(\n", "    \"\u628a\u4e0b\u9762\u7684\u8bc4\u8bbareview\u7ffb\u8bd1\u6210\u82f1\u6587:\"\n", "    \"\\n\\n{Review}\"\n", ")\n", "# chain 1: \u8f93\u5165\uff1aReview    \u8f93\u51fa\uff1a\u82f1\u6587\u7684 Review\n", "chain_one = LLMChain(llm=llm, prompt=first_prompt, output_key=\"English_Review\")\n", "\n", "#\u5b50\u94fe2\n", "# prompt\u6a21\u677f 2: \u7528\u4e00\u53e5\u8bdd\u603b\u7ed3\u4e0b\u9762\u7684 review\n", "second_prompt = ChatPromptTemplate.from_template(\n", "    \"\u8bf7\u4f60\u7528\u4e00\u53e5\u8bdd\u6765\u603b\u7ed3\u4e0b\u9762\u7684\u8bc4\u8bbareview:\"\n", "    \"\\n\\n{English_Review}\"\n", ")\n", "# chain 2: \u8f93\u5165\uff1a\u82f1\u6587\u7684Review   \u8f93\u51fa\uff1a\u603b\u7ed3\n", "chain_two = LLMChain(llm=llm, prompt=second_prompt, output_key=\"summary\")\n", "\n", "\n", "#\u5b50\u94fe3\n", "# prompt\u6a21\u677f 3: \u4e0b\u9762review\u4f7f\u7528\u7684\u4ec0\u4e48\u8bed\u8a00\n", "third_prompt = ChatPromptTemplate.from_template(\n", "    \"\u4e0b\u9762\u7684\u8bc4\u8bbareview\u4f7f\u7528\u7684\u4ec0\u4e48\u8bed\u8a00:\\n\\n{Review}\"\n", ")\n", "# chain 3: \u8f93\u5165\uff1aReview  \u8f93\u51fa\uff1a\u8bed\u8a00\n", "chain_three = LLMChain(llm=llm, prompt=third_prompt, output_key=\"language\")\n", "\n", "\n", "#\u5b50\u94fe4\n", "# prompt\u6a21\u677f 4: \u4f7f\u7528\u7279\u5b9a\u7684\u8bed\u8a00\u5bf9\u4e0b\u9762\u7684\u603b\u7ed3\u5199\u4e00\u4e2a\u540e\u7eed\u56de\u590d\n", "fourth_prompt = ChatPromptTemplate.from_template(\n", "    \"\u4f7f\u7528\u7279\u5b9a\u7684\u8bed\u8a00\u5bf9\u4e0b\u9762\u7684\u603b\u7ed3\u5199\u4e00\u4e2a\u540e\u7eed\u56de\u590d:\"\n", "    \"\\n\\n\u603b\u7ed3: {summary}\\n\\n\u8bed\u8a00: {language}\"\n", ")\n", "# chain 4: \u8f93\u5165\uff1a \u603b\u7ed3, \u8bed\u8a00    \u8f93\u51fa\uff1a \u540e\u7eed\u56de\u590d\n", "chain_four = LLMChain(llm=llm, prompt=fourth_prompt,\n", "                      output_key=\"followup_message\"\n", "                     )\n", "\n", "\n", "# \u5bf9\u56db\u4e2a\u5b50\u94fe\u8fdb\u884c\u7ec4\u5408\n", "#\u8f93\u5165\uff1areview    \u8f93\u51fa\uff1a\u82f1\u6587review\uff0c\u603b\u7ed3\uff0c\u540e\u7eed\u56de\u590d \n", "overall_chain = SequentialChain(\n", "    chains=[chain_one, chain_two, chain_three, chain_four],\n", "    input_variables=[\"Review\"],\n", "    output_variables=[\"English_Review\", \"summary\",\"followup_message\"],\n", "    verbose=True\n", ")\n", "\n", "\n", "review = df.Review[5]\n", "overall_chain(review)"]}, {"cell_type": "markdown", "id": "3041ea4c", "metadata": {}, "source": ["## \u56db\u3001 \u8def\u7531\u94fe"]}, {"cell_type": "markdown", "id": "f0c32f97", "metadata": {}, "source": ["\u5230\u76ee\u524d\u4e3a\u6b62\uff0c\u6211\u4eec\u5df2\u7ecf\u5b66\u4e60\u4e86\u5927\u8bed\u8a00\u6a21\u578b\u94fe\u548c\u987a\u5e8f\u94fe\u3002\u4f46\u662f\uff0c\u5982\u679c\u6211\u4eec\u60f3\u505a\u4e00\u4e9b\u66f4\u590d\u6742\u7684\u4e8b\u60c5\u600e\u4e48\u529e\uff1f\n", "\n", "\u4e00\u4e2a\u76f8\u5f53\u5e38\u89c1\u4f46\u57fa\u672c\u7684\u64cd\u4f5c\u662f\u6839\u636e\u8f93\u5165\u5c06\u5176\u8def\u7531\u5230\u4e00\u6761\u94fe\uff0c\u5177\u4f53\u53d6\u51b3\u4e8e\u8be5\u8f93\u5165\u5230\u5e95\u662f\u4ec0\u4e48\u3002\u5982\u679c\u4f60\u6709\u591a\u4e2a\u5b50\u94fe\uff0c\u6bcf\u4e2a\u5b50\u94fe\u90fd\u4e13\u95e8\u7528\u4e8e\u7279\u5b9a\u7c7b\u578b\u7684\u8f93\u5165\uff0c\u90a3\u4e48\u53ef\u4ee5\u7ec4\u6210\u4e00\u4e2a\u8def\u7531\u94fe\uff0c\u5b83\u9996\u5148\u51b3\u5b9a\u5c06\u5b83\u4f20\u9012\u7ed9\u54ea\u4e2a\u5b50\u94fe\uff0c\u7136\u540e\u5c06\u5b83\u4f20\u9012\u7ed9\u90a3\u4e2a\u94fe\u3002\n", "\n", "\u8def\u7531\u5668\u7531\u4e24\u4e2a\u7ec4\u4ef6\u7ec4\u6210\uff1a\n", "\n", "- \u8def\u7531\u94fe\uff08Router Chain\uff09\uff1a\u8def\u7531\u5668\u94fe\u672c\u8eab\uff0c\u8d1f\u8d23\u9009\u62e9\u8981\u8c03\u7528\u7684\u4e0b\u4e00\u4e2a\u94fe\n", "- destination_chains\uff1a\u8def\u7531\u5668\u94fe\u53ef\u4ee5\u8def\u7531\u5230\u7684\u94fe\n", "\n", "\u4e3e\u4e00\u4e2a\u5177\u4f53\u7684\u4f8b\u5b50\uff0c\u8ba9\u6211\u4eec\u770b\u4e00\u4e0b\u6211\u4eec\u5728\u4e0d\u540c\u7c7b\u578b\u7684\u94fe\u4e4b\u95f4\u8def\u7531\u7684\u5730\u65b9\uff0c\u6211\u4eec\u5728\u8fd9\u91cc\u6709\u4e0d\u540c\u7684prompt:  "]}, {"cell_type": "code", "execution_count": 28, "id": "31b06fc8", "metadata": {}, "outputs": [], "source": ["from langchain.chains.router import MultiPromptChain  #\u5bfc\u5165\u591a\u63d0\u793a\u94fe\n", "from langchain.chains.router.llm_router import LLMRouterChain,RouterOutputParser\n", "from langchain.prompts import PromptTemplate"]}, {"cell_type": "code", "execution_count": 29, "id": "f3f50bcc", "metadata": {}, "outputs": [], "source": ["llm = ChatOpenAI(temperature=0)"]}, {"cell_type": "markdown", "id": "cb1b4708", "metadata": {}, "source": ["### 4.1 \u5b9a\u4e49\u63d0\u793a\u6a21\u677f"]}, {"cell_type": "markdown", "id": "c3b85285-c736-4a5d-bd14-d9b5025ca29b", "metadata": {}, "source": ["\u9996\u5148\uff0c\u6211\u4eec\u5b9a\u4e49\u63d0\u793a\u9002\u7528\u4e8e\u4e0d\u540c\u573a\u666f\u4e0b\u7684\u63d0\u793a\u6a21\u677f\u3002"]}, {"cell_type": "code", "execution_count": 49, "id": "ade83f4f", "metadata": {}, "outputs": [], "source": ["#\u7b2c\u4e00\u4e2a\u63d0\u793a\u9002\u5408\u56de\u7b54\u7269\u7406\u95ee\u9898\n", "physics_template = \"\"\"You are a very smart physics professor. \\\n", "You are great at answering questions about physics in a concise\\\n", "and easy to understand manner. \\\n", "When you don't know the answer to a question you admit\\\n", "that you don't know.\n", "\n", "Here is a question:\n", "{input}\"\"\"\n", "\n", "\n", "#\u7b2c\u4e8c\u4e2a\u63d0\u793a\u9002\u5408\u56de\u7b54\u6570\u5b66\u95ee\u9898\n", "math_template = \"\"\"You are a very good mathematician. \\\n", "You are great at answering math questions. \\\n", "You are so good because you are able to break down \\\n", "hard problems into their component parts, \n", "answer the component parts, and then put them together\\\n", "to answer the broader question.\n", "\n", "Here is a question:\n", "{input}\"\"\"\n", "\n", "\n", "#\u7b2c\u4e09\u4e2a\u9002\u5408\u56de\u7b54\u5386\u53f2\u95ee\u9898\n", "history_template = \"\"\"You are a very good historian. \\\n", "You have an excellent knowledge of and understanding of people,\\\n", "events and contexts from a range of historical periods. \\\n", "You have the ability to think, reflect, debate, discuss and \\\n", "evaluate the past. You have a respect for historical evidence\\\n", "and the ability to make use of it to support your explanations \\\n", "and judgements.\n", "\n", "Here is a question:\n", "{input}\"\"\"\n", "\n", "\n", "#\u7b2c\u56db\u4e2a\u9002\u5408\u56de\u7b54\u8ba1\u7b97\u673a\u95ee\u9898\n", "computerscience_template = \"\"\" You are a successful computer scientist.\\\n", "You have a passion for creativity, collaboration,\\\n", "forward-thinking, confidence, strong problem-solving capabilities,\\\n", "understanding of theories and algorithms, and excellent communication \\\n", "skills. You are great at answering coding questions. \\\n", "You are so good because you know how to solve a problem by \\\n", "describing the solution in imperative steps \\\n", "that a machine can easily interpret and you know how to \\\n", "choose a solution that has a good balance between \\\n", "time complexity and space complexity. \n", "\n", "Here is a question:\n", "{input}\"\"\""]}, {"cell_type": "markdown", "id": "cb3b749b-0d3c-46f2-afab-b1213f208b13", "metadata": {}, "source": ["### 4.2 \u5bf9\u63d0\u793a\u6a21\u7248\u8fdb\u884c\u547d\u540d\u548c\u63cf\u8ff0"]}, {"cell_type": "markdown", "id": "6922b35e", "metadata": {}, "source": ["\u5728\u5b9a\u4e49\u4e86\u8fd9\u4e9b\u63d0\u793a\u6a21\u677f\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u4e3a\u6bcf\u4e2a\u6a21\u677f\u547d\u540d\uff0c\u5e76\u7ed9\u51fa\u5177\u4f53\u63cf\u8ff0\u3002\u4f8b\u5982\uff0c\u7b2c\u4e00\u4e2a\u7269\u7406\u5b66\u7684\u63cf\u8ff0\u9002\u5408\u56de\u7b54\u5173\u4e8e\u7269\u7406\u5b66\u7684\u95ee\u9898\uff0c\u8fd9\u4e9b\u4fe1\u606f\u5c06\u4f20\u9012\u7ed9\u8def\u7531\u94fe\uff0c\u7136\u540e\u7531\u8def\u7531\u94fe\u51b3\u5b9a\u4f55\u65f6\u4f7f\u7528\u6b64\u5b50\u94fe\u3002"]}, {"cell_type": "code", "execution_count": 27, "id": "141a3d32", "metadata": {}, "outputs": [], "source": ["prompt_infos = [\n", "    {\n", "        \"name\": \"physics\", \n", "        \"description\": \"Good for answering questions about physics\", \n", "        \"prompt_template\": physics_template\n", "    },\n", "    {\n", "        \"name\": \"math\", \n", "        \"description\": \"Good for answering math questions\", \n", "        \"prompt_template\": math_template\n", "    },\n", "    {\n", "        \"name\": \"History\", \n", "        \"description\": \"Good for answering history questions\", \n", "        \"prompt_template\": history_template\n", "    },\n", "    {\n", "        \"name\": \"computer science\", \n", "        \"description\": \"Good for answering computer science questions\", \n", "        \"prompt_template\": computerscience_template\n", "    }\n", "]"]}, {"cell_type": "markdown", "id": "8795cd42", "metadata": {}, "source": ["LLMRouterChain\uff08\u6b64\u94fe\u4f7f\u7528 LLM \u6765\u786e\u5b9a\u5982\u4f55\u8def\u7531\u4e8b\u7269\uff09\n", "\n", "\u5728\u8fd9\u91cc\uff0c\u6211\u4eec\u9700\u8981\u4e00\u4e2a**\u591a\u63d0\u793a\u94fe**\u3002\u8fd9\u662f\u4e00\u79cd\u7279\u5b9a\u7c7b\u578b\u7684\u94fe\uff0c\u7528\u4e8e\u5728\u591a\u4e2a\u4e0d\u540c\u7684\u63d0\u793a\u6a21\u677f\u4e4b\u95f4\u8fdb\u884c\u8def\u7531\u3002 \u4f46\u662f\u8fd9\u53ea\u662f\u8def\u7531\u7684\u4e00\u79cd\u7c7b\u578b\uff0c\u6211\u4eec\u4e5f\u53ef\u4ee5\u5728\u4efb\u4f55\u7c7b\u578b\u7684\u94fe\u4e4b\u95f4\u8fdb\u884c\u8def\u7531\u3002\n", "\n", "\u8fd9\u91cc\u6211\u4eec\u8981\u5b9e\u73b0\u7684\u51e0\u4e2a\u7c7b\u662f\u5927\u6a21\u578b\u8def\u7531\u5668\u94fe\u3002\u8fd9\u4e2a\u7c7b\u672c\u8eab\u4f7f\u7528\u8bed\u8a00\u6a21\u578b\u6765\u5728\u4e0d\u540c\u7684\u5b50\u94fe\u4e4b\u95f4\u8fdb\u884c\u8def\u7531\u3002\u8fd9\u5c31\u662f\u4e0a\u9762\u63d0\u4f9b\u7684\u63cf\u8ff0\u548c\u540d\u79f0\u5c06\u88ab\u4f7f\u7528\u7684\u5730\u65b9\u3002"]}, {"cell_type": "markdown", "id": "46633b43", "metadata": {}, "source": ["### 4.3 \u57fa\u4e8e\u63d0\u793a\u6a21\u7248\u4fe1\u606f\u521b\u5efa\u76f8\u5e94\u76ee\u6807\u94fe  \n", "\u76ee\u6807\u94fe\u662f\u7531\u8def\u7531\u94fe\u8c03\u7528\u7684\u94fe\uff0c\u6bcf\u4e2a\u76ee\u6807\u94fe\u90fd\u662f\u4e00\u4e2a\u8bed\u8a00\u6a21\u578b\u94fe"]}, {"cell_type": "code", "execution_count": 30, "id": "8eefec24", "metadata": {}, "outputs": [], "source": ["destination_chains = {}\n", "for p_info in prompt_infos:\n", "    name = p_info[\"name\"]\n", "    prompt_template = p_info[\"prompt_template\"]\n", "    prompt = ChatPromptTemplate.from_template(template=prompt_template)\n", "    chain = LLMChain(llm=llm, prompt=prompt)\n", "    destination_chains[name] = chain  \n", "    \n", "destinations = [f\"{p['name']}: {p['description']}\" for p in prompt_infos]\n", "destinations_str = \"\\n\".join(destinations)"]}, {"cell_type": "markdown", "id": "eba115de", "metadata": {"tags": []}, "source": ["### 4.4 \u521b\u5efa\u9ed8\u8ba4\u76ee\u6807\u94fe\n", "\u9664\u4e86\u76ee\u6807\u94fe\u4e4b\u5916\uff0c\u6211\u4eec\u8fd8\u9700\u8981\u4e00\u4e2a\u9ed8\u8ba4\u76ee\u6807\u94fe\u3002\u8fd9\u662f\u4e00\u4e2a\u5f53\u8def\u7531\u5668\u65e0\u6cd5\u51b3\u5b9a\u4f7f\u7528\u54ea\u4e2a\u5b50\u94fe\u65f6\u8c03\u7528\u7684\u94fe\u3002\u5728\u4e0a\u9762\u7684\u793a\u4f8b\u4e2d\uff0c\u5f53\u8f93\u5165\u95ee\u9898\u4e0e\u7269\u7406\u3001\u6570\u5b66\u3001\u5386\u53f2\u6216\u8ba1\u7b97\u673a\u79d1\u5b66\u65e0\u5173\u65f6\uff0c\u53ef\u80fd\u4f1a\u8c03\u7528\u5b83\u3002"]}, {"cell_type": "code", "execution_count": 31, "id": "9f98018a", "metadata": {}, "outputs": [], "source": ["default_prompt = ChatPromptTemplate.from_template(\"{input}\")\n", "default_chain = LLMChain(llm=llm, prompt=default_prompt)"]}, {"cell_type": "markdown", "id": "948700c4", "metadata": {}, "source": ["### 4.5 \u5b9a\u4e49\u4e0d\u540c\u94fe\u4e4b\u95f4\u7684\u8def\u7531\u6a21\u677f\n", "\n", "\u8fd9\u5305\u62ec\u8981\u5b8c\u6210\u7684\u4efb\u52a1\u7684\u8bf4\u660e\u4ee5\u53ca\u8f93\u51fa\u5e94\u8be5\u91c7\u7528\u7684\u7279\u5b9a\u683c\u5f0f\u3002"]}, {"cell_type": "markdown", "id": "24f30c2c", "metadata": {}, "source": ["\u6ce8\u610f\uff1a\u6b64\u5904\u5728\u539f\u6559\u7a0b\u7684\u57fa\u7840\u4e0a\u6dfb\u52a0\u4e86\u4e00\u4e2a\u793a\u4f8b\uff0c\u4e3b\u8981\u662f\u56e0\u4e3a\"gpt-3.5-turbo\"\u6a21\u578b\u4e0d\u80fd\u5f88\u597d\u9002\u5e94\u7406\u89e3\u6a21\u677f\u7684\u610f\u601d\uff0c\u4f7f\u7528 \"text-davinci-003\" \u6216\u8005\"gpt-4-0613\"\u53ef\u4ee5\u5f88\u597d\u7684\u5de5\u4f5c\uff0c\u56e0\u6b64\u5728\u8fd9\u91cc\u591a\u52a0\u4e86\u793a\u4f8b\u63d0\u793a\u8ba9\u5176\u66f4\u597d\u7684\u5b66\u4e60\u3002\n", "eg:\n", "<< INPUT >>\n", "\"What is black body radiation?\"\n", "<< OUTPUT >>\n", "```json\n", "{{{{\n", "    \"destination\": string \\ name of the prompt to use or \"DEFAULT\"\n", "    \"next_inputs\": string \\ a potentially modified version of the original input\n", "}}}}\n", "```"]}, {"cell_type": "code", "execution_count": 32, "id": "11b2e2ba", "metadata": {}, "outputs": [], "source": ["MULTI_PROMPT_ROUTER_TEMPLATE = \"\"\"Given a raw text input to a \\\n", "language model select the model prompt best suited for the input. \\\n", "You will be given the names of the available prompts and a \\\n", "description of what the prompt is best suited for. \\\n", "You may also revise the original input if you think that revising\\\n", "it will ultimately lead to a better response from the language model.\n", "\n", "<< FORMATTING >>\n", "Return a markdown code snippet with a JSON object formatted to look like:\n", "```json\n", "{{{{\n", "    \"destination\": string \\ name of the prompt to use or \"DEFAULT\"\n", "    \"next_inputs\": string \\ a potentially modified version of the original input\n", "}}}}\n", "```\n", "\n", "REMEMBER: \"destination\" MUST be one of the candidate prompt \\\n", "names specified below OR it can be \"DEFAULT\" if the input is not\\\n", "well suited for any of the candidate prompts.\n", "REMEMBER: \"next_inputs\" can just be the original input \\\n", "if you don't think any modifications are needed.\n", "\n", "<< CANDIDATE PROMPTS >>\n", "{destinations}\n", "\n", "<< INPUT >>\n", "{{input}}\n", "\n", "<< OUTPUT (remember to include the ```json)>>\n", "\n", "eg:\n", "<< INPUT >>\n", "\"What is black body radiation?\"\n", "<< OUTPUT >>\n", "```json\n", "{{{{\n", "    \"destination\": string \\ name of the prompt to use or \"DEFAULT\"\n", "    \"next_inputs\": string \\ a potentially modified version of the original input\n", "}}}}\n", "```\n", "\n", "\"\"\""]}, {"cell_type": "markdown", "id": "de5c46d0", "metadata": {}, "source": ["### 4.6 \u6784\u5efa\u8def\u7531\u94fe\n", "\u9996\u5148\uff0c\u6211\u4eec\u901a\u8fc7\u683c\u5f0f\u5316\u4e0a\u9762\u5b9a\u4e49\u7684\u76ee\u6807\u521b\u5efa\u5b8c\u6574\u7684\u8def\u7531\u5668\u6a21\u677f\u3002\u8fd9\u4e2a\u6a21\u677f\u53ef\u4ee5\u9002\u7528\u8bb8\u591a\u4e0d\u540c\u7c7b\u578b\u7684\u76ee\u6807\u3002\n", "\u56e0\u6b64\uff0c\u5728\u8fd9\u91cc\uff0c\u60a8\u53ef\u4ee5\u6dfb\u52a0\u4e00\u4e2a\u4e0d\u540c\u7684\u5b66\u79d1\uff0c\u5982\u82f1\u8bed\u6216\u62c9\u4e01\u8bed\uff0c\u800c\u4e0d\u4ec5\u4ec5\u662f\u7269\u7406\u3001\u6570\u5b66\u3001\u5386\u53f2\u548c\u8ba1\u7b97\u673a\u79d1\u5b66\u3002\n", "\n", "\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u4ece\u8fd9\u4e2a\u6a21\u677f\u521b\u5efa\u63d0\u793a\u6a21\u677f\n", "\n", "\u6700\u540e\uff0c\u901a\u8fc7\u4f20\u5165llm\u548c\u6574\u4e2a\u8def\u7531\u63d0\u793a\u6765\u521b\u5efa\u8def\u7531\u94fe\u3002\u9700\u8981\u6ce8\u610f\u7684\u662f\u8fd9\u91cc\u6709\u8def\u7531\u8f93\u51fa\u89e3\u6790\uff0c\u8fd9\u5f88\u91cd\u8981\uff0c\u56e0\u4e3a\u5b83\u5c06\u5e2e\u52a9\u8fd9\u4e2a\u94fe\u8def\u51b3\u5b9a\u5728\u54ea\u4e9b\u5b50\u94fe\u8def\u4e4b\u95f4\u8fdb\u884c\u8def\u7531\u3002"]}, {"cell_type": "code", "execution_count": 34, "id": "1387109d", "metadata": {}, "outputs": [], "source": ["router_template = MULTI_PROMPT_ROUTER_TEMPLATE.format(\n", "    destinations=destinations_str\n", ")\n", "router_prompt = PromptTemplate(\n", "    template=router_template,\n", "    input_variables=[\"input\"],\n", "    output_parser=RouterOutputParser(),\n", ")\n", "\n", "router_chain = LLMRouterChain.from_llm(llm, router_prompt)"]}, {"cell_type": "markdown", "id": "7e92355c", "metadata": {}, "source": ["### 4.7 \u521b\u5efa\u6574\u4f53\u94fe\u8def"]}, {"cell_type": "code", "execution_count": 35, "id": "2fb7d560", "metadata": {}, "outputs": [], "source": ["#\u591a\u63d0\u793a\u94fe\n", "chain = MultiPromptChain(router_chain=router_chain,    #l\u8def\u7531\u94fe\u8def\n", "                         destination_chains=destination_chains,   #\u76ee\u6807\u94fe\u8def\n", "                         default_chain=default_chain,      #\u9ed8\u8ba4\u94fe\u8def\n", "                         verbose=True   \n", "                        )"]}, {"cell_type": "markdown", "id": "086503f7", "metadata": {}, "source": ["### 4.8 \u8fdb\u884c\u63d0\u95ee"]}, {"cell_type": "markdown", "id": "969cd878", "metadata": {}, "source": ["\u5982\u679c\u6211\u4eec\u95ee\u4e00\u4e2a\u7269\u7406\u95ee\u9898\uff0c\u6211\u4eec\u5e0c\u671b\u770b\u5230\u4ed6\u88ab\u8def\u7531\u5230\u7269\u7406\u94fe\u8def"]}, {"cell_type": "code", "execution_count": null, "id": "2217d987", "metadata": {}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["\n", "\n", "\u001b[1m> Entering new MultiPromptChain chain...\u001b[0m\n", "physics: {'input': 'What is black body radiation?'}\n", "\u001b[1m> Finished chain.\u001b[0m\n"]}, {"data": {"text/plain": ["'Black body radiation is the electromagnetic radiation emitted by a perfect black body, which absorbs all incident radiation and reflects none. It is characterized by a continuous spectrum of radiated energy that is dependent on the temperature of the body, with higher temperatures leading to more intense and shorter wavelength radiation. This phenomenon is an important concept in thermal physics and has numerous applications, ranging from understanding stellar spectra to designing artificial light sources.'"]}, "metadata": {}, "output_type": "display_data"}], "source": ["# \u95ee\u9898\uff1a\u4ec0\u4e48\u662f\u9ed1\u4f53\u8f90\u5c04\uff1f\n", "chain.run(\"What is black body radiation?\")"]}, {"cell_type": "markdown", "id": "289c5ca9", "metadata": {}, "source": ["\u5982\u679c\u6211\u4eec\u95ee\u4e00\u4e2a\u6570\u5b66\u95ee\u9898\uff0c\u6211\u4eec\u5e0c\u671b\u770b\u5230\u4ed6\u88ab\u8def\u7531\u5230\u6570\u5b66\u94fe\u8def"]}, {"cell_type": "code", "execution_count": 22, "id": "3b717379", "metadata": {}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["\n", "\n", "\u001b[1m> Entering new MultiPromptChain chain...\u001b[0m\n", "math: {'input': 'what is 2 + 2'}\n", "\u001b[1m> Finished chain.\u001b[0m\n"]}, {"data": {"text/plain": ["'As an AI language model, I can answer this question. The answer to 2 + 2 is 4.'"]}, "execution_count": 22, "metadata": {}, "output_type": "execute_result"}], "source": ["# \u95ee\u9898\uff1a2+2\u7b49\u4e8e\u591a\u5c11\uff1f\n", "chain.run(\"what is 2 + 2\")"]}, {"cell_type": "markdown", "id": "4186a2b9", "metadata": {}, "source": ["\u5982\u679c\u6211\u4eec\u4f20\u9012\u4e00\u4e2a\u4e0e\u4efb\u4f55\u5b50\u94fe\u8def\u90fd\u65e0\u5173\u7684\u95ee\u9898\u65f6\uff0c\u4f1a\u53d1\u751f\u4ec0\u4e48\u5462\uff1f\n", "\n", "\u8fd9\u91cc\uff0c\u6211\u4eec\u95ee\u4e86\u4e00\u4e2a\u5173\u4e8e\u751f\u7269\u5b66\u7684\u95ee\u9898\uff0c\u6211\u4eec\u53ef\u4ee5\u770b\u5230\u5b83\u9009\u62e9\u7684\u94fe\u8def\u662f\u65e0\u3002\u8fd9\u610f\u5473\u7740\u5b83\u5c06\u88ab**\u4f20\u9012\u5230\u9ed8\u8ba4\u94fe\u8def\uff0c\u5b83\u672c\u8eab\u53ea\u662f\u5bf9\u8bed\u8a00\u6a21\u578b\u7684\u901a\u7528\u8c03\u7528**\u3002\u8bed\u8a00\u6a21\u578b\u5e78\u8fd0\u5730\u5bf9\u751f\u7269\u5b66\u77e5\u9053\u5f88\u591a\uff0c\u6240\u4ee5\u5b83\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u3002"]}, {"cell_type": "code", "execution_count": 40, "id": "29e5be01", "metadata": {}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["\n", "\n", "\u001b[1m> Entering new MultiPromptChain chain...\u001b[0m\n", "None: {'input': 'Why does every cell in our body contain DNA?'}\n", "\u001b[1m> Finished chain.\u001b[0m\n"]}, {"data": {"text/plain": ["'Every cell in our body contains DNA because DNA carries the genetic information that determines the characteristics and functions of each cell. DNA contains the instructions for the synthesis of proteins, which are essential for the structure and function of cells. Additionally, DNA is responsible for the transmission of genetic information from one generation to the next. Therefore, every cell in our body needs DNA to carry out its specific functions and to maintain the integrity of the organism as a whole.'"]}, "execution_count": 40, "metadata": {}, "output_type": "execute_result"}], "source": ["# \u95ee\u9898\uff1a\u4e3a\u4ec0\u4e48\u6211\u4eec\u8eab\u4f53\u91cc\u7684\u6bcf\u4e2a\u7ec6\u80de\u90fd\u5305\u542bDNA\uff1f\n", "chain.run(\"Why does every cell in our body contain DNA?\")"]}, {"cell_type": "markdown", "id": "753b5f1d-b010-4f33-a928-d3b9e85bf289", "metadata": {}, "source": ["### 4.9 \u4e2d\u6587\u63d0\u793a"]}, {"cell_type": "code", "execution_count": 51, "id": "f7fade7a", "metadata": {}, "outputs": [], "source": ["# \u4e2d\u6587\n", "#\u7b2c\u4e00\u4e2a\u63d0\u793a\u9002\u5408\u56de\u7b54\u7269\u7406\u95ee\u9898\n", "physics_template = \"\"\"\u4f60\u662f\u4e00\u4e2a\u975e\u5e38\u806a\u660e\u7684\u7269\u7406\u4e13\u5bb6\u3002 \\\n", "\u4f60\u64c5\u957f\u7528\u4e00\u79cd\u7b80\u6d01\u5e76\u4e14\u6613\u4e8e\u7406\u89e3\u7684\u65b9\u5f0f\u53bb\u56de\u7b54\u95ee\u9898\u3002\\\n", "\u5f53\u4f60\u4e0d\u77e5\u9053\u95ee\u9898\u7684\u7b54\u6848\u65f6\uff0c\u4f60\u627f\u8ba4\\\n", "\u4f60\u4e0d\u77e5\u9053.\n", "\n", "\u8fd9\u662f\u4e00\u4e2a\u95ee\u9898:\n", "{input}\"\"\"\n", "\n", "\n", "#\u7b2c\u4e8c\u4e2a\u63d0\u793a\u9002\u5408\u56de\u7b54\u6570\u5b66\u95ee\u9898\n", "math_template = \"\"\"\u4f60\u662f\u4e00\u4e2a\u975e\u5e38\u4f18\u79c0\u7684\u6570\u5b66\u5bb6\u3002 \\\n", "\u4f60\u64c5\u957f\u56de\u7b54\u6570\u5b66\u95ee\u9898\u3002 \\\n", "\u4f60\u4e4b\u6240\u4ee5\u5982\u6b64\u4f18\u79c0\uff0c \\\n", "\u662f\u56e0\u4e3a\u4f60\u80fd\u591f\u5c06\u68d8\u624b\u7684\u95ee\u9898\u5206\u89e3\u4e3a\u7ec4\u6210\u90e8\u5206\uff0c\\\n", "\u56de\u7b54\u7ec4\u6210\u90e8\u5206\uff0c\u7136\u540e\u5c06\u5b83\u4eec\u7ec4\u5408\u5728\u4e00\u8d77\uff0c\u56de\u7b54\u66f4\u5e7f\u6cdb\u7684\u95ee\u9898\u3002\n", "\n", "\u8fd9\u662f\u4e00\u4e2a\u95ee\u9898\uff1a\n", "{input}\"\"\"\n", "\n", "\n", "#\u7b2c\u4e09\u4e2a\u9002\u5408\u56de\u7b54\u5386\u53f2\u95ee\u9898\n", "history_template = \"\"\"\u4f60\u662f\u4ee5\u4e3a\u975e\u5e38\u4f18\u79c0\u7684\u5386\u53f2\u5b66\u5bb6\u3002 \\\n", "\u4f60\u5bf9\u4e00\u7cfb\u5217\u5386\u53f2\u65f6\u671f\u7684\u4eba\u7269\u3001\u4e8b\u4ef6\u548c\u80cc\u666f\u6709\u7740\u6781\u597d\u7684\u5b66\u8bc6\u548c\u7406\u89e3\\\n", "\u4f60\u6709\u80fd\u529b\u601d\u8003\u3001\u53cd\u601d\u3001\u8fa9\u8bc1\u3001\u8ba8\u8bba\u548c\u8bc4\u4f30\u8fc7\u53bb\u3002\\\n", "\u4f60\u5c0a\u91cd\u5386\u53f2\u8bc1\u636e\uff0c\u5e76\u6709\u80fd\u529b\u5229\u7528\u5b83\u6765\u652f\u6301\u4f60\u7684\u89e3\u91ca\u548c\u5224\u65ad\u3002\n", "\n", "\u8fd9\u662f\u4e00\u4e2a\u95ee\u9898:\n", "{input}\"\"\"\n", "\n", "\n", "#\u7b2c\u56db\u4e2a\u9002\u5408\u56de\u7b54\u8ba1\u7b97\u673a\u95ee\u9898\n", "computerscience_template = \"\"\" \u4f60\u662f\u4e00\u4e2a\u6210\u529f\u7684\u8ba1\u7b97\u673a\u79d1\u5b66\u4e13\u5bb6\u3002\\\n", "\u4f60\u6709\u521b\u9020\u529b\u3001\u534f\u4f5c\u7cbe\u795e\u3001\\\n", "\u524d\u77bb\u6027\u601d\u7ef4\u3001\u81ea\u4fe1\u3001\u89e3\u51b3\u95ee\u9898\u7684\u80fd\u529b\u3001\\\n", "\u5bf9\u7406\u8bba\u548c\u7b97\u6cd5\u7684\u7406\u89e3\u4ee5\u53ca\u51fa\u8272\u7684\u6c9f\u901a\u6280\u5de7\u3002\\\n", "\u4f60\u975e\u5e38\u64c5\u957f\u56de\u7b54\u7f16\u7a0b\u95ee\u9898\u3002\\\n", "\u4f60\u4e4b\u6240\u4ee5\u5982\u6b64\u4f18\u79c0\uff0c\u662f\u56e0\u4e3a\u4f60\u77e5\u9053  \\\n", "\u5982\u4f55\u901a\u8fc7\u4ee5\u673a\u5668\u53ef\u4ee5\u8f7b\u677e\u89e3\u91ca\u7684\u547d\u4ee4\u5f0f\u6b65\u9aa4\u63cf\u8ff0\u89e3\u51b3\u65b9\u6848\u6765\u89e3\u51b3\u95ee\u9898\uff0c\\\n", "\u5e76\u4e14\u4f60\u77e5\u9053\u5982\u4f55\u9009\u62e9\u5728\u65f6\u95f4\u590d\u6742\u6027\u548c\u7a7a\u95f4\u590d\u6742\u6027\u4e4b\u95f4\u53d6\u5f97\u826f\u597d\u5e73\u8861\u7684\u89e3\u51b3\u65b9\u6848\u3002\n", "\n", "\u8fd9\u8fd8\u662f\u4e00\u4e2a\u8f93\u5165\uff1a\n", "{input}\"\"\""]}, {"cell_type": "code", "execution_count": 52, "id": "deb8aafc", "metadata": {}, "outputs": [], "source": ["# \u4e2d\u6587\n", "prompt_infos = [\n", "    {\n", "        \"\u540d\u5b57\": \"\u7269\u7406\u5b66\", \n", "        \"\u63cf\u8ff0\": \"\u64c5\u957f\u56de\u7b54\u5173\u4e8e\u7269\u7406\u5b66\u7684\u95ee\u9898\", \n", "        \"\u63d0\u793a\u6a21\u677f\": physics_template\n", "    },\n", "    {\n", "        \"\u540d\u5b57\": \"\u6570\u5b66\", \n", "        \"\u63cf\u8ff0\": \"\u64c5\u957f\u56de\u7b54\u6570\u5b66\u95ee\u9898\", \n", "        \"\u63d0\u793a\u6a21\u677f\": math_template\n", "    },\n", "    {\n", "        \"\u540d\u5b57\": \"\u5386\u53f2\", \n", "        \"\u63cf\u8ff0\": \"\u64c5\u957f\u56de\u7b54\u5386\u53f2\u95ee\u9898\", \n", "        \"\u63d0\u793a\u6a21\u677f\": history_template\n", "    },\n", "    {\n", "        \"\u540d\u5b57\": \"\u8ba1\u7b97\u673a\u79d1\u5b66\", \n", "        \"\u63cf\u8ff0\": \"\u64c5\u957f\u56de\u7b54\u8ba1\u7b97\u673a\u79d1\u5b66\u95ee\u9898\", \n", "        \"\u63d0\u793a\u6a21\u677f\": computerscience_template\n", "    }\n", "]\n"]}, {"cell_type": "code", "execution_count": null, "id": "fd6eb641", "metadata": {}, "outputs": [], "source": ["# \u4e2d\u6587\n", "destination_chains = {}\n", "for p_info in prompt_infos:\n", "    name = p_info[\"\u540d\u5b57\"]\n", "    prompt_template = p_info[\"\u63d0\u793a\u6a21\u677f\"]\n", "    prompt = ChatPromptTemplate.from_template(template=prompt_template)\n", "    chain = LLMChain(llm=llm, prompt=prompt)\n", "    destination_chains[name] = chain  \n", "    \n", "destinations = [f\"{p['\u540d\u5b57']}: {p['\u63cf\u8ff0']}\" for p in prompt_infos]\n", "destinations_str = \"\\n\".join(destinations)"]}, {"cell_type": "code", "execution_count": null, "id": "af088d6b-a70b-4cd7-bc6e-4ad7b32e6ae1", "metadata": {}, "outputs": [], "source": ["default_prompt = ChatPromptTemplate.from_template(\"{input}\")\n", "default_chain = LLMChain(llm=llm, prompt=default_prompt)"]}, {"cell_type": "code", "execution_count": null, "id": "a7aae035", "metadata": {}, "outputs": [], "source": ["# \u4e2d\u6587\n", "\n", "# \u591a\u63d0\u793a\u8def\u7531\u6a21\u677f\n", "MULTI_PROMPT_ROUTER_TEMPLATE = \"\"\"\u7ed9\u8bed\u8a00\u6a21\u578b\u4e00\u4e2a\u539f\u59cb\u6587\u672c\u8f93\u5165\uff0c\\\n", "\u8ba9\u5176\u9009\u62e9\u6700\u9002\u5408\u8f93\u5165\u7684\u6a21\u578b\u63d0\u793a\u3002\\\n", "\u7cfb\u7edf\u5c06\u4e3a\u60a8\u63d0\u4f9b\u53ef\u7528\u63d0\u793a\u7684\u540d\u79f0\u4ee5\u53ca\u6700\u9002\u5408\u6539\u63d0\u793a\u7684\u63cf\u8ff0\u3002\\\n", "\u5982\u679c\u4f60\u8ba4\u4e3a\u4fee\u6539\u539f\u59cb\u8f93\u5165\u6700\u7ec8\u4f1a\u5bfc\u81f4\u8bed\u8a00\u6a21\u578b\u505a\u51fa\u66f4\u597d\u7684\u54cd\u5e94\uff0c\\\n", "\u4f60\u4e5f\u53ef\u4ee5\u4fee\u6539\u539f\u59cb\u8f93\u5165\u3002\n", "\n", "\n", "<< \u683c\u5f0f >>\n", "\u8fd4\u56de\u4e00\u4e2a\u5e26\u6709JSON\u5bf9\u8c61\u7684markdown\u4ee3\u7801\u7247\u6bb5\uff0c\u8be5JSON\u5bf9\u8c61\u7684\u683c\u5f0f\u5982\u4e0b\uff1a\n", "```json\n", "{{{{\n", "    \"destination\": \u5b57\u7b26\u4e32 \\ \u4f7f\u7528\u7684\u63d0\u793a\u540d\u5b57\u6216\u8005\u4f7f\u7528 \"DEFAULT\"\n", "    \"next_inputs\": \u5b57\u7b26\u4e32 \\ \u539f\u59cb\u8f93\u5165\u7684\u6539\u8fdb\u7248\u672c\n", "}}}}\n", "```\n", "\n", "\n", "\u8bb0\u4f4f\uff1a\u201cdestination\u201d\u5fc5\u987b\u662f\u4e0b\u9762\u6307\u5b9a\u7684\u5019\u9009\u63d0\u793a\u540d\u79f0\u4e4b\u4e00\uff0c\\\n", "\u6216\u8005\u5982\u679c\u8f93\u5165\u4e0d\u592a\u9002\u5408\u4efb\u4f55\u5019\u9009\u63d0\u793a\uff0c\\\n", "\u5219\u53ef\u4ee5\u662f \u201cDEFAULT\u201d \u3002\n", "\u8bb0\u4f4f\uff1a\u5982\u679c\u60a8\u8ba4\u4e3a\u4e0d\u9700\u8981\u4efb\u4f55\u4fee\u6539\uff0c\\\n", "\u5219 \u201cnext_inputs\u201d \u53ef\u4ee5\u53ea\u662f\u539f\u59cb\u8f93\u5165\u3002\n", "\n", "<< \u5019\u9009\u63d0\u793a >>\n", "{destinations}\n", "\n", "<< \u8f93\u5165 >>\n", "{{input}}\n", "\n", "<< \u8f93\u51fa (\u8bb0\u5f97\u8981\u5305\u542b ```json)>>\n", "\n", "\u6837\u4f8b:\n", "<< \u8f93\u5165 >>\n", "\"\u4ec0\u4e48\u662f\u9ed1\u4f53\u8f90\u5c04?\"\n", "<< \u8f93\u51fa >>\n", "```json\n", "{{{{\n", "    \"destination\": \u5b57\u7b26\u4e32 \\ \u4f7f\u7528\u7684\u63d0\u793a\u540d\u5b57\u6216\u8005\u4f7f\u7528 \"DEFAULT\"\n", "    \"next_inputs\": \u5b57\u7b26\u4e32 \\ \u539f\u59cb\u8f93\u5165\u7684\u6539\u8fdb\u7248\u672c\n", "}}}}\n", "```\n", "\n", "\"\"\""]}, {"cell_type": "code", "execution_count": null, "id": "7470b25c-ef82-496c-a6e0-e04b99b08e70", "metadata": {}, "outputs": [], "source": ["#\u591a\u63d0\u793a\u94fe\n", "chain = MultiPromptChain(router_chain=router_chain,    #l\u8def\u7531\u94fe\u8def\n", "                         destination_chains=destination_chains,   #\u76ee\u6807\u94fe\u8def\n", "                         default_chain=default_chain,      #\u9ed8\u8ba4\u94fe\u8def\n", "                         verbose=True   \n", "                        )"]}, {"cell_type": "code", "execution_count": 36, "id": "4446724c", "metadata": {}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["\n", "\n", "\u001b[1m> Entering new MultiPromptChain chain...\u001b[0m\n", "physics: {'input': '\u4ec0\u4e48\u662f\u9ed1\u4f53\u8f90\u5c04\uff1f'}\n", "\u001b[1m> Finished chain.\u001b[0m\n"]}, {"data": {"text/plain": ["'\u9ed1\u4f53\u8f90\u5c04\u662f\u6307\u4e00\u4e2a\u7406\u60f3\u5316\u7684\u7269\u4f53\uff0c\u5b83\u80fd\u591f\u5b8c\u5168\u5438\u6536\u6240\u6709\u5165\u5c04\u5230\u5b83\u8868\u9762\u7684\u8f90\u5c04\u80fd\u91cf\uff0c\u5e76\u4ee5\u70ed\u8f90\u5c04\u7684\u5f62\u5f0f\u91cd\u65b0\u53d1\u5c04\u51fa\u6765\u3002\u9ed1\u4f53\u8f90\u5c04\u7684\u7279\u70b9\u662f\u5176\u8f90\u5c04\u80fd\u91cf\u7684\u5206\u5e03\u4e0e\u6e29\u5ea6\u6709\u5173\uff0c\u968f\u7740\u6e29\u5ea6\u7684\u5347\u9ad8\uff0c\u8f90\u5c04\u80fd\u91cf\u7684\u5cf0\u503c\u4f1a\u5411\u66f4\u77ed\u7684\u6ce2\u957f\u65b9\u5411\u79fb\u52a8\u3002\u8fd9\u4e2a\u73b0\u8c61\u88ab\u79f0\u4e3a\u9ed1\u4f53\u8f90\u5c04\u8c31\u7684\u4f4d\u79fb\u5b9a\u5f8b\uff0c\u7531\u666e\u6717\u514b\u572820\u4e16\u7eaa\u521d\u63d0\u51fa\u3002\u9ed1\u4f53\u8f90\u5c04\u5728\u7814\u7a76\u70ed\u529b\u5b66\u3001\u91cf\u5b50\u529b\u5b66\u548c\u5b87\u5b99\u5b66\u7b49\u9886\u57df\u4e2d\u5177\u6709\u91cd\u8981\u7684\u5e94\u7528\u3002'"]}, "execution_count": 36, "metadata": {}, "output_type": "execute_result"}], "source": ["#\u4e2d\u6587\n", "chain.run(\"\u4ec0\u4e48\u662f\u9ed1\u4f53\u8f90\u5c04\uff1f\")"]}, {"cell_type": "code", "execution_count": 41, "id": "ef81eda3", "metadata": {}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["\n", "\n", "\u001b[1m> Entering new MultiPromptChain chain...\u001b[0m\n", "History: {'input': '\u4f60\u77e5\u9053\u674e\u767d\u662f\u8c01\u561b?'}\n", "\u001b[1m> Finished chain.\u001b[0m\n"]}, {"data": {"text/plain": ["'\u674e\u767d\u662f\u5510\u671d\u65f6\u671f\u7684\u4e00\u4f4d\u8457\u540d\u8bd7\u4eba\u3002\u4ed6\u7684\u8bd7\u6b4c\u4ee5\u8c6a\u653e\u3001\u5954\u653e\u3001\u81ea\u7531\u7684\u98ce\u683c\u8457\u79f0\uff0c\u88ab\u8a89\u4e3a\u201c\u8bd7\u4ed9\u201d\u3002\u4ed6\u7684\u4f5c\u54c1\u6d89\u53ca\u5e7f\u6cdb\uff0c\u5305\u62ec\u5c71\u6c34\u7530\u56ed\u3001\u5386\u53f2\u4f20\u8bf4\u3001\u54f2\u7406\u601d\u8003\u7b49\u591a\u4e2a\u65b9\u9762\uff0c\u5bf9\u4e2d\u56fd\u53e4\u5178\u6587\u5b66\u7684\u53d1\u5c55\u4ea7\u751f\u4e86\u6df1\u8fdc\u7684\u5f71\u54cd\u3002'"]}, "execution_count": 41, "metadata": {}, "output_type": "execute_result"}], "source": ["# \u4e2d\u6587\n", "chain.run(\"\u4f60\u77e5\u9053\u674e\u767d\u662f\u8c01\u561b?\")"]}, {"cell_type": "code", "execution_count": 37, "id": "795bea17", "metadata": {}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["\n", "\n", "\u001b[1m> Entering new MultiPromptChain chain...\u001b[0m\n", "math: {'input': '2 + 2 \u7b49\u4e8e\u591a\u5c11'}"]}, {"name": "stderr", "output_type": "stream", "text": ["Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 1.0 seconds as it raised ServiceUnavailableError: The server is overloaded or not ready yet..\n"]}, {"name": "stdout", "output_type": "stream", "text": ["\n", "\u001b[1m> Finished chain.\u001b[0m\n"]}, {"data": {"text/plain": ["'2 + 2 \u7b49\u4e8e 4\u3002'"]}, "execution_count": 37, "metadata": {}, "output_type": "execute_result"}], "source": ["# \u4e2d\u6587\n", "chain.run(\"2 + 2 \u7b49\u4e8e\u591a\u5c11\")"]}, {"cell_type": "code", "execution_count": 38, "id": "a64d0759", "metadata": {}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["\n", "\n", "\u001b[1m> Entering new MultiPromptChain chain...\u001b[0m\n", "None: {'input': '\u4e3a\u4ec0\u4e48\u6211\u4eec\u8eab\u4f53\u91cc\u7684\u6bcf\u4e2a\u7ec6\u80de\u90fd\u5305\u542bDNA\uff1f'}\n", "\u001b[1m> Finished chain.\u001b[0m\n"]}, {"data": {"text/plain": ["'\u6211\u4eec\u8eab\u4f53\u91cc\u7684\u6bcf\u4e2a\u7ec6\u80de\u90fd\u5305\u542bDNA\uff0c\u662f\u56e0\u4e3aDNA\u662f\u9057\u4f20\u4fe1\u606f\u7684\u8f7d\u4f53\u3002DNA\u662f\u7531\u56db\u79cd\u78b1\u57fa\uff08\u817a\u560c\u5464\u3001\u9e1f\u560c\u5464\u3001\u80f8\u817a\u5627\u5576\u548c\u9cde\u560c\u5464\uff09\u7ec4\u6210\u7684\u957f\u94fe\u72b6\u5206\u5b50\uff0c\u5b83\u5b58\u50a8\u4e86\u751f\u7269\u4f53\u7684\u9057\u4f20\u4fe1\u606f\uff0c\u5305\u62ec\u4e2a\u4f53\u7684\u7279\u5f81\u3001\u751f\u957f\u53d1\u80b2\u3001\u4ee3\u8c22\u529f\u80fd\u7b49\u3002\u6bcf\u4e2a\u7ec6\u80de\u90fd\u9700\u8981\u8fd9\u4e9b\u9057\u4f20\u4fe1\u606f\u6765\u6267\u884c\u5176\u7279\u5b9a\u7684\u529f\u80fd\u548c\u4efb\u52a1\uff0c\u56e0\u6b64\u6bcf\u4e2a\u7ec6\u80de\u90fd\u9700\u8981\u5305\u542bDNA\u3002\u6b64\u5916\uff0cDNA\u8fd8\u80fd\u901a\u8fc7\u590d\u5236\u548c\u4f20\u9012\u7ed9\u4e0b\u4e00\u4ee3\u7ec6\u80de\u548c\u4e2a\u4f53\uff0c\u4ee5\u4fdd\u8bc1\u9057\u4f20\u4fe1\u606f\u7684\u4f20\u627f\u3002'"]}, "execution_count": 38, "metadata": {}, "output_type": "execute_result"}], "source": ["# \u4e2d\u6587\n", "chain.run(\"\u4e3a\u4ec0\u4e48\u6211\u4eec\u8eab\u4f53\u91cc\u7684\u6bcf\u4e2a\u7ec6\u80de\u90fd\u5305\u542bDNA\uff1f\")"]}], "metadata": {"kernelspec": {"display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3"}, "language_info": {"codemirror_mode": {"name": "ipython", "version": 3}, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.12"}}, "nbformat": 4, "nbformat_minor": 5}
\ No newline at end of file
diff --git "a/content/\345\277\205\344\277\256\344\270\211-LangChain for LLM Application Development/5.\345\237\272\344\272\216\346\226\207\346\241\243\347\232\204\351\227\256\347\255\224 Question and Answer.ipynb" "b/content/\345\277\205\344\277\256\344\270\211-LangChain for LLM Application Development/5.\345\237\272\344\272\216\346\226\207\346\241\243\347\232\204\351\227\256\347\255\224 Question and Answer.ipynb"
index 1defab86..515d472a 100644
--- "a/content/\345\277\205\344\277\256\344\270\211-LangChain for LLM Application Development/5.\345\237\272\344\272\216\346\226\207\346\241\243\347\232\204\351\227\256\347\255\224 Question and Answer.ipynb"	
+++ "b/content/\345\277\205\344\277\256\344\270\211-LangChain for LLM Application Development/5.\345\237\272\344\272\216\346\226\207\346\241\243\347\232\204\351\227\256\347\255\224 Question and Answer.ipynb"	
@@ -55,6 +55,19 @@
   {
    "cell_type": "code",
    "execution_count": 1,
+   "id": "cc33ceb1-535f-454d-988c-347a8b14fd72",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 下载需要的包python-dotenv和openai\n",
+    "# 如果你需要查看安装过程日志，可删除 -q \n",
+    "!pip install -q python-dotenv\n",
+    "!pip install -q openai"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
    "id": "e3c97235-f101-47f2-92db-1c37f4bf9845",
    "metadata": {
     "tags": []
@@ -76,6 +89,274 @@
     "openai.api_key = os.environ['OPENAI_API_KEY']  "
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "8cb7a7ec",
+   "metadata": {
+    "height": 30
+   },
+   "source": [
+    "## 一、直接"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "6fbf1fe4-411a-4d22-b362-ac8400fa31b9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!pip install --upgrade -q langchain\n",
+    "!pip install -q docarray"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "974acf8e-8f88-42de-88f8-40a82cb58e8b",
+   "metadata": {
+    "height": 98
+   },
+   "outputs": [],
+   "source": [
+    "from langchain.chains import RetrievalQA #检索QA链，在文档上进行检索\n",
+    "from langchain.chat_models import ChatOpenAI #openai模型\n",
+    "from langchain.document_loaders import CSVLoader #文档加载器，采用csv格式存储\n",
+    "from langchain.vectorstores import DocArrayInMemorySearch #向量存储\n",
+    "from IPython.display import display, Markdown #在jupyter显示信息的工具"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "159206b6-46a8-47ee-99a8-13bf7d554da4",
+   "metadata": {},
+   "source": [
+    "### 1.1 导入数据"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "7249846e",
+   "metadata": {
+    "height": 75
+   },
+   "outputs": [],
+   "source": [
+    "file = 'data/OutdoorClothingCatalog_1000.csv'\n",
+    "loader = CSVLoader(file_path=file)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "7724f00e",
+   "metadata": {
+    "height": 30
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>name</th>\n",
+       "      <th>description</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Women's Campside Oxfords</td>\n",
+       "      <td>This ultracomfortable lace-to-toe Oxford boast...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Recycled Waterhog Dog Mat, Chevron Weave</td>\n",
+       "      <td>Protect your floors from spills and splashing ...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Infant and Toddler Girls' Coastal Chill Swimsu...</td>\n",
+       "      <td>She'll love the bright colors, ruffles and exc...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Refresh Swimwear, V-Neck Tankini Contrasts</td>\n",
+       "      <td>Whether you're going for a swim or heading out...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>EcoFlex 3L Storm Pants</td>\n",
+       "      <td>Our new TEK O2 technology makes our four-seaso...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                                name  \\\n",
+       "0                           Women's Campside Oxfords   \n",
+       "1           Recycled Waterhog Dog Mat, Chevron Weave   \n",
+       "2  Infant and Toddler Girls' Coastal Chill Swimsu...   \n",
+       "3         Refresh Swimwear, V-Neck Tankini Contrasts   \n",
+       "4                             EcoFlex 3L Storm Pants   \n",
+       "\n",
+       "                                         description  \n",
+       "0  This ultracomfortable lace-to-toe Oxford boast...  \n",
+       "1  Protect your floors from spills and splashing ...  \n",
+       "2  She'll love the bright colors, ruffles and exc...  \n",
+       "3  Whether you're going for a swim or heading out...  \n",
+       "4  Our new TEK O2 technology makes our four-seaso...  "
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#用Pandas导入并查看数据\n",
+    "import pandas as pd\n",
+    "\n",
+    "data = pd.read_csv(file,usecols=[1, 2])\n",
+    "data.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3bd6422c",
+   "metadata": {},
+   "source": [
+    "提供了一个户外服装的CSV文件，我们将使用它与语言模型结合使用"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2963fc63",
+   "metadata": {},
+   "source": [
+    "### 1.2 基本文档加载器创建向量存储"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "5bfaba30",
+   "metadata": {
+    "height": 30
+   },
+   "outputs": [],
+   "source": [
+    "from langchain.indexes import VectorstoreIndexCreator #导入向量存储索引创建器"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "id": "9e200726",
+   "metadata": {
+    "height": 64
+   },
+   "outputs": [],
+   "source": [
+    "# 创建指定向量存储类\n",
+    "# 创建完成后，从加载器中调用, 通过文档加载器列表加载\n",
+    "index = VectorstoreIndexCreator(vectorstore_cls=DocArrayInMemorySearch).from_loaders([loader])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "297216bf-ada7-498b-b448-7d98aadbfc27",
+   "metadata": {},
+   "source": [
+    "### 1.3 查询创建的向量存储"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "id": "34562d81",
+   "metadata": {
+    "height": 47
+   },
+   "outputs": [],
+   "source": [
+    "query =\"Please list all your shirts with sun protection \\\n",
+    "in a table in markdown and summarize each one.\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "id": "cfd0cc37",
+   "metadata": {
+    "height": 30
+   },
+   "outputs": [],
+   "source": [
+    "response = index.query(query)#使用索引查询创建一个响应，并传入这个查询"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "id": "ae21f1ff",
+   "metadata": {
+    "height": 30,
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/markdown": [
+       "\n",
+       "\n",
+       "| Name | Description |\n",
+       "| --- | --- |\n",
+       "| Men's Tropical Plaid Short-Sleeve Shirt | UPF 50+ rated, 100% polyester, wrinkle-resistant, front and back cape venting, two front bellows pockets |\n",
+       "| Men's Plaid Tropic Shirt, Short-Sleeve | UPF 50+ rated, 52% polyester and 48% nylon, machine washable and dryable, front and back cape venting, two front bellows pockets |\n",
+       "| Men's TropicVibe Shirt, Short-Sleeve | UPF 50+ rated, 71% Nylon, 29% Polyester, 100% Polyester knit mesh, wrinkle resistant, front and back cape venting, two front bellows pockets |\n",
+       "| Sun Shield Shirt by | UPF 50+ rated, 78% nylon, 22% Lycra Xtra Life fiber, wicks moisture, fits comfortably over swimsuit, abrasion resistant |\n",
+       "\n",
+       "All four shirts provide UPF 50+ sun protection, blocking 98% of the sun's harmful rays. The Men's Tropical Plaid Short-Sleeve Shirt is made of 100% polyester and is wrinkle-resistant. The Men's Plaid Trop"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "display(Markdown(response))#查看查询返回的内容"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "eb74cc79",
+   "metadata": {},
+   "source": [
+    "得到了一个Markdown表格，其中包含所有带有防晒衣的衬衫的名称和描述，还得到了一个语言模型提供的不错的小总结"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "dd34e50e",
@@ -102,23 +383,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "id": "974acf8e-8f88-42de-88f8-40a82cb58e8b",
-   "metadata": {
-    "height": 98
-   },
-   "outputs": [],
-   "source": [
-    "from langchain.chains.retrieval_qa.base import RetrievalQA #检索QA链，在文档上进行检索\n",
-    "from langchain_community.chat_models import ChatOpenAI #openai模型\n",
-    "from langchain.document_loaders import CSVLoader #文档加载器，采用csv格式存储\n",
-    "from langchain.vectorstores import DocArrayInMemorySearch #向量存储\n",
-    "from IPython.display import display, Markdown #在jupyter显示信息的工具"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 7,
    "id": "631396c6",
    "metadata": {
     "height": 30
@@ -126,14 +391,13 @@
    "outputs": [],
    "source": [
     "#创建一个文档加载器，通过csv格式加载\n",
-    "file = 'data/OutdoorClothingCatalog_1000.csv'\n",
     "loader = CSVLoader(file_path=file)\n",
     "docs = loader.load()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 8,
    "id": "4a977f44",
    "metadata": {
     "height": 30
@@ -145,7 +409,7 @@
        "Document(page_content=\": 0\\nname: Women's Campside Oxfords\\ndescription: This ultracomfortable lace-to-toe Oxford boasts a super-soft canvas, thick cushioning, and quality construction for a broken-in feel from the first time you put them on. \\n\\nSize & Fit: Order regular shoe size. For half sizes not offered, order up to next whole size. \\n\\nSpecs: Approx. weight: 1 lb.1 oz. per pair. \\n\\nConstruction: Soft canvas material for a broken-in feel and look. Comfortable EVA innersole with Cleansport NXT® antimicrobial odor control. Vintage hunt, fish and camping motif on innersole. Moderate arch contour of innersole. EVA foam midsole for cushioning and support. Chain-tread-inspired molded rubber outsole with modified chain-tread pattern. Imported. \\n\\nQuestions? Please contact us for any inquiries.\", metadata={'source': 'data/OutdoorClothingCatalog_1000.csv', 'row': 0})"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -165,30 +429,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 9,
    "id": "e875693a",
    "metadata": {
     "height": 47
    },
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/lta/anaconda3/envs/cookbook/lib/python3.10/site-packages/langchain_core/_api/deprecation.py:119: LangChainDeprecationWarning: The class `OpenAIEmbeddings` was deprecated in LangChain 0.0.9 and will be removed in 0.3.0. An updated version of the class exists in the langchain-openai package and should be used instead. To use it run `pip install -U langchain-openai` and import as `from langchain_openai import OpenAIEmbeddings`.\n",
-      "  warn_deprecated(\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "#使用OpenAIEmbedding类\n",
-    "from langchain_community.embeddings.openai import OpenAIEmbeddings\n",
-    "embeddings = OpenAIEmbeddings(model='text-embedding-3-small') #初始化"
+    "from langchain.embeddings import OpenAIEmbeddings \n",
+    "embeddings = OpenAIEmbeddings() #初始化"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 10,
    "id": "779bec75",
    "metadata": {
     "height": 30
@@ -213,7 +468,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 11,
    "id": "9d00d346",
    "metadata": {
     "height": 30
@@ -223,7 +478,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[0.005708176707077206, -0.005911823428831226, -0.06263797055840839, 0.022638179617308362, -0.05140398873287338]\n"
+      "[-0.02194717898964882, 0.006735079921782017, -0.01816144771873951, -0.03916534036397934, -0.014086442068219185]\n"
      ]
     }
    ],
@@ -242,21 +497,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 12,
    "id": "27ad0bb0",
    "metadata": {
     "height": 81
    },
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/lta/anaconda3/envs/cookbook/lib/python3.10/site-packages/pydantic/_migration.py:283: UserWarning: `pydantic.error_wrappers:ValidationError` has been moved to `pydantic:ValidationError`.\n",
-      "  warnings.warn(f'`{import_path}` has been moved to `{new_location}`.')\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# 将刚才创建文本向量表征(embeddings)存储在向量存储(vector store)中\n",
     "# 使用DocArrayInMemorySearch类的from_documents方法来实现\n",
@@ -266,17 +512,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 28,
    "id": "13783b64-43ce-4e8d-8f97-ec4f07b15015",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "'0.2.3'"
+       "'0.0.234'"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 28,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -296,7 +542,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 13,
    "id": "7909c6b7",
    "metadata": {
     "height": 30
@@ -311,7 +557,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 14,
    "id": "43321853",
    "metadata": {
     "height": 30
@@ -323,7 +569,7 @@
        "4"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -335,7 +581,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 15,
    "id": "6eba90b5",
    "metadata": {
     "height": 30
@@ -347,7 +593,7 @@
        "Document(page_content=': 255\\nname: Sun Shield Shirt by\\ndescription: \"Block the sun, not the fun – our high-performance sun shirt is guaranteed to protect from harmful UV rays. \\n\\nSize & Fit: Slightly Fitted: Softly shapes the body. Falls at hip.\\n\\nFabric & Care: 78% nylon, 22% Lycra Xtra Life fiber. UPF 50+ rated – the highest rated sun protection possible. Handwash, line dry.\\n\\nAdditional Features: Wicks moisture for quick-drying comfort. Fits comfortably over your favorite swimsuit. Abrasion resistant for season after season of wear. Imported.\\n\\nSun Protection That Won\\'t Wear Off\\nOur high-performance fabric provides SPF 50+ sun protection, blocking 98% of the sun\\'s harmful rays. This fabric is recommended by The Skin Cancer Foundation as an effective UV protectant.', metadata={'source': 'data/OutdoorClothingCatalog_1000.csv', 'row': 255})"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -375,7 +621,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 16,
    "id": "c0c3596e",
    "metadata": {
     "height": 30
@@ -383,26 +629,17 @@
    "outputs": [],
    "source": [
     "#基于向量储存，创建检索器\n",
-    "retriever = db.as_retriever()"
+    "retriever = db.as_retriever() "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 32,
    "id": "0625f5e8",
    "metadata": {
     "height": 47
    },
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/lta/anaconda3/envs/cookbook/lib/python3.10/site-packages/langchain_core/_api/deprecation.py:119: LangChainDeprecationWarning: The class `ChatOpenAI` was deprecated in LangChain 0.0.10 and will be removed in 0.3.0. An updated version of the class exists in the langchain-openai package and should be used instead. To use it run `pip install -U langchain-openai` and import as `from langchain_openai import ChatOpenAI`.\n",
-      "  warn_deprecated(\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "#导入大语言模型, 这里使用默认模型gpt-3.5-turbo会出现504服务器超时，因此使用gpt-3.5-turbo-0301\n",
     "llm = ChatOpenAI(model_name=\"gpt-3.5-turbo-0301\",temperature = 0.0) "
@@ -410,7 +647,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 33,
    "id": "a573f58a",
    "metadata": {
     "height": 47
@@ -418,26 +655,17 @@
    "outputs": [],
    "source": [
     "#合并获得的相似文档内容\n",
-    "qdocs = \"\".join([docs[i].page_content for i in range(len(docs))])"
+    "qdocs = \"\".join([docs[i].page_content for i in range(len(docs))])  "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 34,
    "id": "14682d95",
    "metadata": {
     "height": 64
    },
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/lta/anaconda3/envs/cookbook/lib/python3.10/site-packages/langchain_core/_api/deprecation.py:119: LangChainDeprecationWarning: The method `BaseChatModel.call_as_llm` was deprecated in langchain-core 0.1.7 and will be removed in 0.3.0. Use invoke instead.\n",
-      "  warn_deprecated(\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "#将合并的相似文档内容后加上问题（question）输入到 `llm.call_as_llm`中\n",
     "#这里问题是：以Markdown表格的方式列出所有具有防晒功能的衬衫并总结\n",
@@ -447,7 +675,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 35,
    "id": "8bba545b",
    "metadata": {
     "height": 30
@@ -456,12 +684,14 @@
     {
      "data": {
       "text/markdown": [
-       "| Shirt Name | Description |\n",
+       "| Name | Description |\n",
        "| --- | --- |\n",
-       "| Sun Shield Shirt | A high-performance sun shirt that provides UPF 50+ sun protection, blocks 98% of the sun's harmful rays, and is made of 78% nylon and 22% Lycra Xtra Life fiber. It wicks moisture for quick-drying comfort, fits comfortably over swimsuits, and is abrasion-resistant. |\n",
-       "| Men's Tropical Plaid Short-Sleeve Shirt | The lightest hot-weather shirt that is rated UPF 50+ for superior protection from the sun's UV rays. It is made of 100% polyester, is wrinkle-resistant, and has front and back cape venting that lets in cool breezes and two front bellows pockets. |\n",
-       "| Men's Plaid Tropic Shirt, Short-Sleeve | An ultracomfortable sun protection shirt that is rated UPF 50+ and made with 52% polyester and 48% nylon. It offers UPF 50+ coverage, blocks 98% of the sun's harmful UV rays, and is wrinkle-free and quickly evaporates perspiration. It also has front and back cape venting and two front bellows pockets. |\n",
-       "| Tropical Breeze Shirt | A lightweight, breathable long-sleeve men’s UPF shirt that offers superior SunSmart™ protection from the sun’s harmful rays. It is made of 71% nylon and 29% polyester, has UPF 50+ coverage, and is wrinkle-resistant and moisture-wicking. It also has front and back cape venting and two front bellows pockets. |"
+       "| Sun Shield Shirt | High-performance sun shirt with UPF 50+ sun protection, moisture-wicking, and abrasion-resistant fabric. Fits comfortably over swimsuits. |\n",
+       "| Men's Plaid Tropic Shirt | Ultracomfortable shirt with UPF 50+ sun protection, wrinkle-free fabric, and front/back cape venting. Made with 52% polyester and 48% nylon. |\n",
+       "| Men's TropicVibe Shirt | Men's sun-protection shirt with built-in UPF 50+ and wrinkle-resistant fabric. Features front/back cape venting and two front bellows pockets. |\n",
+       "| Men's Tropical Plaid Short-Sleeve Shirt | Lightest hot-weather shirt with UPF 50+ sun protection, relaxed traditional fit, and front/back cape venting. Made with 100% polyester. |\n",
+       "\n",
+       "All of these shirts provide UPF 50+ sun protection, blocking 98% of the sun's harmful rays. They also have additional features such as moisture-wicking, wrinkle-resistant, and venting for cool breezes. The Sun Shield Shirt is abrasion-resistant and fits comfortably over swimsuits. The Men's Plaid Tropic Shirt is made with a blend of polyester and nylon and is machine washable/dryable. The Men's TropicVibe Shirt is also wrinkle-resistant and has two front bellows pockets. The Men's Tropical Plaid Short-Sleeve Shirt has a relaxed traditional fit and is made with 100% polyester."
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -485,7 +715,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 20,
    "id": "32c94d22",
    "metadata": {
     "height": 115
@@ -511,7 +741,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 21,
    "id": "e4769316",
    "metadata": {
     "height": 47
@@ -524,29 +754,74 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 22,
    "id": "1fc3c2f3",
    "metadata": {
     "height": 30
    },
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/lta/anaconda3/envs/cookbook/lib/python3.10/site-packages/langchain_core/_api/deprecation.py:119: LangChainDeprecationWarning: The method `Chain.run` was deprecated in langchain 0.1.0 and will be removed in 0.3.0. Use invoke instead.\n",
-      "  warn_deprecated(\n"
-     ]
-    },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "\n",
       "\n",
-      "\u001b[1m> Entering new RetrievalQA chain...\u001b[0m\n",
-      "\n",
-      "\u001b[1m> Finished chain.\u001b[0m\n"
+      "\u001b[1m> Entering new RetrievalQA chain...\u001b[0m\n"
+     ]
+    },
+    {
+     "ename": "KeyboardInterrupt",
+     "evalue": "",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
+      "Input \u001b[0;32mIn [22]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0m response \u001b[38;5;241m=\u001b[39m \u001b[43mqa_stuff\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\u001b[43mquery\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m~/opt/miniconda3/lib/python3.9/site-packages/langchain/chains/base.py:440\u001b[0m, in \u001b[0;36mChain.run\u001b[0;34m(self, callbacks, tags, metadata, *args, **kwargs)\u001b[0m\n\u001b[1;32m    438\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(args) \u001b[38;5;241m!=\u001b[39m \u001b[38;5;241m1\u001b[39m:\n\u001b[1;32m    439\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m`run` supports only one positional argument.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m--> 440\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43margs\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcallbacks\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcallbacks\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtags\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtags\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmetadata\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmetadata\u001b[49m\u001b[43m)\u001b[49m[\n\u001b[1;32m    441\u001b[0m         _output_key\n\u001b[1;32m    442\u001b[0m     ]\n\u001b[1;32m    444\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m kwargs \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m args:\n\u001b[1;32m    445\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m(kwargs, callbacks\u001b[38;5;241m=\u001b[39mcallbacks, tags\u001b[38;5;241m=\u001b[39mtags, metadata\u001b[38;5;241m=\u001b[39mmetadata)[\n\u001b[1;32m    446\u001b[0m         _output_key\n\u001b[1;32m    447\u001b[0m     ]\n",
+      "File \u001b[0;32m~/opt/miniconda3/lib/python3.9/site-packages/langchain/chains/base.py:243\u001b[0m, in \u001b[0;36mChain.__call__\u001b[0;34m(self, inputs, return_only_outputs, callbacks, tags, metadata, include_run_info)\u001b[0m\n\u001b[1;32m    241\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m (\u001b[38;5;167;01mKeyboardInterrupt\u001b[39;00m, \u001b[38;5;167;01mException\u001b[39;00m) \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m    242\u001b[0m     run_manager\u001b[38;5;241m.\u001b[39mon_chain_error(e)\n\u001b[0;32m--> 243\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m e\n\u001b[1;32m    244\u001b[0m run_manager\u001b[38;5;241m.\u001b[39mon_chain_end(outputs)\n\u001b[1;32m    245\u001b[0m final_outputs: Dict[\u001b[38;5;28mstr\u001b[39m, Any] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mprep_outputs(\n\u001b[1;32m    246\u001b[0m     inputs, outputs, return_only_outputs\n\u001b[1;32m    247\u001b[0m )\n",
+      "File \u001b[0;32m~/opt/miniconda3/lib/python3.9/site-packages/langchain/chains/base.py:237\u001b[0m, in \u001b[0;36mChain.__call__\u001b[0;34m(self, inputs, return_only_outputs, callbacks, tags, metadata, include_run_info)\u001b[0m\n\u001b[1;32m    231\u001b[0m run_manager \u001b[38;5;241m=\u001b[39m callback_manager\u001b[38;5;241m.\u001b[39mon_chain_start(\n\u001b[1;32m    232\u001b[0m     dumpd(\u001b[38;5;28mself\u001b[39m),\n\u001b[1;32m    233\u001b[0m     inputs,\n\u001b[1;32m    234\u001b[0m )\n\u001b[1;32m    235\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m    236\u001b[0m     outputs \u001b[38;5;241m=\u001b[39m (\n\u001b[0;32m--> 237\u001b[0m         \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_call\u001b[49m\u001b[43m(\u001b[49m\u001b[43minputs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mrun_manager\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrun_manager\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    238\u001b[0m         \u001b[38;5;28;01mif\u001b[39;00m new_arg_supported\n\u001b[1;32m    239\u001b[0m         \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_call(inputs)\n\u001b[1;32m    240\u001b[0m     )\n\u001b[1;32m    241\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m (\u001b[38;5;167;01mKeyboardInterrupt\u001b[39;00m, \u001b[38;5;167;01mException\u001b[39;00m) \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m    242\u001b[0m     run_manager\u001b[38;5;241m.\u001b[39mon_chain_error(e)\n",
+      "File \u001b[0;32m~/opt/miniconda3/lib/python3.9/site-packages/langchain/chains/retrieval_qa/base.py:131\u001b[0m, in \u001b[0;36mBaseRetrievalQA._call\u001b[0;34m(self, inputs, run_manager)\u001b[0m\n\u001b[1;32m    129\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m    130\u001b[0m     docs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_get_docs(question)  \u001b[38;5;66;03m# type: ignore[call-arg]\u001b[39;00m\n\u001b[0;32m--> 131\u001b[0m answer \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcombine_documents_chain\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    132\u001b[0m \u001b[43m    \u001b[49m\u001b[43minput_documents\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdocs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mquestion\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mquestion\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcallbacks\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m_run_manager\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_child\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    133\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    135\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mreturn_source_documents:\n\u001b[1;32m    136\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m {\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moutput_key: answer, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124msource_documents\u001b[39m\u001b[38;5;124m\"\u001b[39m: docs}\n",
+      "File \u001b[0;32m~/opt/miniconda3/lib/python3.9/site-packages/langchain/chains/base.py:445\u001b[0m, in \u001b[0;36mChain.run\u001b[0;34m(self, callbacks, tags, metadata, *args, **kwargs)\u001b[0m\n\u001b[1;32m    440\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m(args[\u001b[38;5;241m0\u001b[39m], callbacks\u001b[38;5;241m=\u001b[39mcallbacks, tags\u001b[38;5;241m=\u001b[39mtags, metadata\u001b[38;5;241m=\u001b[39mmetadata)[\n\u001b[1;32m    441\u001b[0m         _output_key\n\u001b[1;32m    442\u001b[0m     ]\n\u001b[1;32m    444\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m kwargs \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m args:\n\u001b[0;32m--> 445\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcallbacks\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcallbacks\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtags\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtags\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmetadata\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmetadata\u001b[49m\u001b[43m)\u001b[49m[\n\u001b[1;32m    446\u001b[0m         _output_key\n\u001b[1;32m    447\u001b[0m     ]\n\u001b[1;32m    449\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m kwargs \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m args:\n\u001b[1;32m    450\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[1;32m    451\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m`run` supported with either positional arguments or keyword arguments,\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    452\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m but none were provided.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    453\u001b[0m     )\n",
+      "File \u001b[0;32m~/opt/miniconda3/lib/python3.9/site-packages/langchain/chains/base.py:243\u001b[0m, in \u001b[0;36mChain.__call__\u001b[0;34m(self, inputs, return_only_outputs, callbacks, tags, metadata, include_run_info)\u001b[0m\n\u001b[1;32m    241\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m (\u001b[38;5;167;01mKeyboardInterrupt\u001b[39;00m, \u001b[38;5;167;01mException\u001b[39;00m) \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m    242\u001b[0m     run_manager\u001b[38;5;241m.\u001b[39mon_chain_error(e)\n\u001b[0;32m--> 243\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m e\n\u001b[1;32m    244\u001b[0m run_manager\u001b[38;5;241m.\u001b[39mon_chain_end(outputs)\n\u001b[1;32m    245\u001b[0m final_outputs: Dict[\u001b[38;5;28mstr\u001b[39m, Any] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mprep_outputs(\n\u001b[1;32m    246\u001b[0m     inputs, outputs, return_only_outputs\n\u001b[1;32m    247\u001b[0m )\n",
+      "File \u001b[0;32m~/opt/miniconda3/lib/python3.9/site-packages/langchain/chains/base.py:237\u001b[0m, in \u001b[0;36mChain.__call__\u001b[0;34m(self, inputs, return_only_outputs, callbacks, tags, metadata, include_run_info)\u001b[0m\n\u001b[1;32m    231\u001b[0m run_manager \u001b[38;5;241m=\u001b[39m callback_manager\u001b[38;5;241m.\u001b[39mon_chain_start(\n\u001b[1;32m    232\u001b[0m     dumpd(\u001b[38;5;28mself\u001b[39m),\n\u001b[1;32m    233\u001b[0m     inputs,\n\u001b[1;32m    234\u001b[0m )\n\u001b[1;32m    235\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m    236\u001b[0m     outputs \u001b[38;5;241m=\u001b[39m (\n\u001b[0;32m--> 237\u001b[0m         \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_call\u001b[49m\u001b[43m(\u001b[49m\u001b[43minputs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mrun_manager\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrun_manager\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    238\u001b[0m         \u001b[38;5;28;01mif\u001b[39;00m new_arg_supported\n\u001b[1;32m    239\u001b[0m         \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_call(inputs)\n\u001b[1;32m    240\u001b[0m     )\n\u001b[1;32m    241\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m (\u001b[38;5;167;01mKeyboardInterrupt\u001b[39;00m, \u001b[38;5;167;01mException\u001b[39;00m) \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m    242\u001b[0m     run_manager\u001b[38;5;241m.\u001b[39mon_chain_error(e)\n",
+      "File \u001b[0;32m~/opt/miniconda3/lib/python3.9/site-packages/langchain/chains/combine_documents/base.py:106\u001b[0m, in \u001b[0;36mBaseCombineDocumentsChain._call\u001b[0;34m(self, inputs, run_manager)\u001b[0m\n\u001b[1;32m    104\u001b[0m \u001b[38;5;66;03m# Other keys are assumed to be needed for LLM prediction\u001b[39;00m\n\u001b[1;32m    105\u001b[0m other_keys \u001b[38;5;241m=\u001b[39m {k: v \u001b[38;5;28;01mfor\u001b[39;00m k, v \u001b[38;5;129;01min\u001b[39;00m inputs\u001b[38;5;241m.\u001b[39mitems() \u001b[38;5;28;01mif\u001b[39;00m k \u001b[38;5;241m!=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39minput_key}\n\u001b[0;32m--> 106\u001b[0m output, extra_return_dict \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcombine_docs\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    107\u001b[0m \u001b[43m    \u001b[49m\u001b[43mdocs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcallbacks\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m_run_manager\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_child\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mother_keys\u001b[49m\n\u001b[1;32m    108\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    109\u001b[0m extra_return_dict[\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moutput_key] \u001b[38;5;241m=\u001b[39m output\n\u001b[1;32m    110\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m extra_return_dict\n",
+      "File \u001b[0;32m~/opt/miniconda3/lib/python3.9/site-packages/langchain/chains/combine_documents/stuff.py:165\u001b[0m, in \u001b[0;36mStuffDocumentsChain.combine_docs\u001b[0;34m(self, docs, callbacks, **kwargs)\u001b[0m\n\u001b[1;32m    163\u001b[0m inputs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_get_inputs(docs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[1;32m    164\u001b[0m \u001b[38;5;66;03m# Call predict on the LLM.\u001b[39;00m\n\u001b[0;32m--> 165\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mllm_chain\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpredict\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcallbacks\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcallbacks\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43minputs\u001b[49m\u001b[43m)\u001b[49m, {}\n",
+      "File \u001b[0;32m~/opt/miniconda3/lib/python3.9/site-packages/langchain/chains/llm.py:252\u001b[0m, in \u001b[0;36mLLMChain.predict\u001b[0;34m(self, callbacks, **kwargs)\u001b[0m\n\u001b[1;32m    237\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mpredict\u001b[39m(\u001b[38;5;28mself\u001b[39m, callbacks: Callbacks \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs: Any) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;28mstr\u001b[39m:\n\u001b[1;32m    238\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"Format prompt with kwargs and pass to LLM.\u001b[39;00m\n\u001b[1;32m    239\u001b[0m \n\u001b[1;32m    240\u001b[0m \u001b[38;5;124;03m    Args:\u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    250\u001b[0m \u001b[38;5;124;03m            completion = llm.predict(adjective=\"funny\")\u001b[39;00m\n\u001b[1;32m    251\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[0;32m--> 252\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcallbacks\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcallbacks\u001b[49m\u001b[43m)\u001b[49m[\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moutput_key]\n",
+      "File \u001b[0;32m~/opt/miniconda3/lib/python3.9/site-packages/langchain/chains/base.py:243\u001b[0m, in \u001b[0;36mChain.__call__\u001b[0;34m(self, inputs, return_only_outputs, callbacks, tags, metadata, include_run_info)\u001b[0m\n\u001b[1;32m    241\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m (\u001b[38;5;167;01mKeyboardInterrupt\u001b[39;00m, \u001b[38;5;167;01mException\u001b[39;00m) \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m    242\u001b[0m     run_manager\u001b[38;5;241m.\u001b[39mon_chain_error(e)\n\u001b[0;32m--> 243\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m e\n\u001b[1;32m    244\u001b[0m run_manager\u001b[38;5;241m.\u001b[39mon_chain_end(outputs)\n\u001b[1;32m    245\u001b[0m final_outputs: Dict[\u001b[38;5;28mstr\u001b[39m, Any] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mprep_outputs(\n\u001b[1;32m    246\u001b[0m     inputs, outputs, return_only_outputs\n\u001b[1;32m    247\u001b[0m )\n",
+      "File \u001b[0;32m~/opt/miniconda3/lib/python3.9/site-packages/langchain/chains/base.py:237\u001b[0m, in \u001b[0;36mChain.__call__\u001b[0;34m(self, inputs, return_only_outputs, callbacks, tags, metadata, include_run_info)\u001b[0m\n\u001b[1;32m    231\u001b[0m run_manager \u001b[38;5;241m=\u001b[39m callback_manager\u001b[38;5;241m.\u001b[39mon_chain_start(\n\u001b[1;32m    232\u001b[0m     dumpd(\u001b[38;5;28mself\u001b[39m),\n\u001b[1;32m    233\u001b[0m     inputs,\n\u001b[1;32m    234\u001b[0m )\n\u001b[1;32m    235\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m    236\u001b[0m     outputs \u001b[38;5;241m=\u001b[39m (\n\u001b[0;32m--> 237\u001b[0m         \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_call\u001b[49m\u001b[43m(\u001b[49m\u001b[43minputs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mrun_manager\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrun_manager\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    238\u001b[0m         \u001b[38;5;28;01mif\u001b[39;00m new_arg_supported\n\u001b[1;32m    239\u001b[0m         \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_call(inputs)\n\u001b[1;32m    240\u001b[0m     )\n\u001b[1;32m    241\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m (\u001b[38;5;167;01mKeyboardInterrupt\u001b[39;00m, \u001b[38;5;167;01mException\u001b[39;00m) \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m    242\u001b[0m     run_manager\u001b[38;5;241m.\u001b[39mon_chain_error(e)\n",
+      "File \u001b[0;32m~/opt/miniconda3/lib/python3.9/site-packages/langchain/chains/llm.py:92\u001b[0m, in \u001b[0;36mLLMChain._call\u001b[0;34m(self, inputs, run_manager)\u001b[0m\n\u001b[1;32m     87\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_call\u001b[39m(\n\u001b[1;32m     88\u001b[0m     \u001b[38;5;28mself\u001b[39m,\n\u001b[1;32m     89\u001b[0m     inputs: Dict[\u001b[38;5;28mstr\u001b[39m, Any],\n\u001b[1;32m     90\u001b[0m     run_manager: Optional[CallbackManagerForChainRun] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m     91\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Dict[\u001b[38;5;28mstr\u001b[39m, \u001b[38;5;28mstr\u001b[39m]:\n\u001b[0;32m---> 92\u001b[0m     response \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgenerate\u001b[49m\u001b[43m(\u001b[49m\u001b[43m[\u001b[49m\u001b[43minputs\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mrun_manager\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrun_manager\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     93\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcreate_outputs(response)[\u001b[38;5;241m0\u001b[39m]\n",
+      "File \u001b[0;32m~/opt/miniconda3/lib/python3.9/site-packages/langchain/chains/llm.py:102\u001b[0m, in \u001b[0;36mLLMChain.generate\u001b[0;34m(self, input_list, run_manager)\u001b[0m\n\u001b[1;32m    100\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"Generate LLM result from inputs.\"\"\"\u001b[39;00m\n\u001b[1;32m    101\u001b[0m prompts, stop \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mprep_prompts(input_list, run_manager\u001b[38;5;241m=\u001b[39mrun_manager)\n\u001b[0;32m--> 102\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mllm\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgenerate_prompt\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    103\u001b[0m \u001b[43m    \u001b[49m\u001b[43mprompts\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    104\u001b[0m \u001b[43m    \u001b[49m\u001b[43mstop\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    105\u001b[0m \u001b[43m    \u001b[49m\u001b[43mcallbacks\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrun_manager\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_child\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mrun_manager\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01melse\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m    106\u001b[0m \u001b[43m    \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mllm_kwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    107\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m~/opt/miniconda3/lib/python3.9/site-packages/langchain/chat_models/base.py:230\u001b[0m, in \u001b[0;36mBaseChatModel.generate_prompt\u001b[0;34m(self, prompts, stop, callbacks, **kwargs)\u001b[0m\n\u001b[1;32m    222\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mgenerate_prompt\u001b[39m(\n\u001b[1;32m    223\u001b[0m     \u001b[38;5;28mself\u001b[39m,\n\u001b[1;32m    224\u001b[0m     prompts: List[PromptValue],\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    227\u001b[0m     \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs: Any,\n\u001b[1;32m    228\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m LLMResult:\n\u001b[1;32m    229\u001b[0m     prompt_messages \u001b[38;5;241m=\u001b[39m [p\u001b[38;5;241m.\u001b[39mto_messages() \u001b[38;5;28;01mfor\u001b[39;00m p \u001b[38;5;129;01min\u001b[39;00m prompts]\n\u001b[0;32m--> 230\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgenerate\u001b[49m\u001b[43m(\u001b[49m\u001b[43mprompt_messages\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstop\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstop\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcallbacks\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcallbacks\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m~/opt/miniconda3/lib/python3.9/site-packages/langchain/chat_models/base.py:125\u001b[0m, in \u001b[0;36mBaseChatModel.generate\u001b[0;34m(self, messages, stop, callbacks, tags, metadata, **kwargs)\u001b[0m\n\u001b[1;32m    123\u001b[0m         \u001b[38;5;28;01mif\u001b[39;00m run_managers:\n\u001b[1;32m    124\u001b[0m             run_managers[i]\u001b[38;5;241m.\u001b[39mon_llm_error(e)\n\u001b[0;32m--> 125\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m e\n\u001b[1;32m    126\u001b[0m flattened_outputs \u001b[38;5;241m=\u001b[39m [\n\u001b[1;32m    127\u001b[0m     LLMResult(generations\u001b[38;5;241m=\u001b[39m[res\u001b[38;5;241m.\u001b[39mgenerations], llm_output\u001b[38;5;241m=\u001b[39mres\u001b[38;5;241m.\u001b[39mllm_output)\n\u001b[1;32m    128\u001b[0m     \u001b[38;5;28;01mfor\u001b[39;00m res \u001b[38;5;129;01min\u001b[39;00m results\n\u001b[1;32m    129\u001b[0m ]\n\u001b[1;32m    130\u001b[0m llm_output \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_combine_llm_outputs([res\u001b[38;5;241m.\u001b[39mllm_output \u001b[38;5;28;01mfor\u001b[39;00m res \u001b[38;5;129;01min\u001b[39;00m results])\n",
+      "File \u001b[0;32m~/opt/miniconda3/lib/python3.9/site-packages/langchain/chat_models/base.py:115\u001b[0m, in \u001b[0;36mBaseChatModel.generate\u001b[0;34m(self, messages, stop, callbacks, tags, metadata, **kwargs)\u001b[0m\n\u001b[1;32m    112\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m i, m \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28menumerate\u001b[39m(messages):\n\u001b[1;32m    113\u001b[0m     \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m    114\u001b[0m         results\u001b[38;5;241m.\u001b[39mappend(\n\u001b[0;32m--> 115\u001b[0m             \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_generate_with_cache\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    116\u001b[0m \u001b[43m                \u001b[49m\u001b[43mm\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    117\u001b[0m \u001b[43m                \u001b[49m\u001b[43mstop\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstop\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    118\u001b[0m \u001b[43m                \u001b[49m\u001b[43mrun_manager\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrun_managers\u001b[49m\u001b[43m[\u001b[49m\u001b[43mi\u001b[49m\u001b[43m]\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mrun_managers\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01melse\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m    119\u001b[0m \u001b[43m                \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    120\u001b[0m \u001b[43m            \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    121\u001b[0m         )\n\u001b[1;32m    122\u001b[0m     \u001b[38;5;28;01mexcept\u001b[39;00m (\u001b[38;5;167;01mKeyboardInterrupt\u001b[39;00m, \u001b[38;5;167;01mException\u001b[39;00m) \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m    123\u001b[0m         \u001b[38;5;28;01mif\u001b[39;00m run_managers:\n",
+      "File \u001b[0;32m~/opt/miniconda3/lib/python3.9/site-packages/langchain/chat_models/base.py:262\u001b[0m, in \u001b[0;36mBaseChatModel._generate_with_cache\u001b[0;34m(self, messages, stop, run_manager, **kwargs)\u001b[0m\n\u001b[1;32m    258\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[1;32m    259\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mAsked to cache, but no cache found at `langchain.cache`.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    260\u001b[0m     )\n\u001b[1;32m    261\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m new_arg_supported:\n\u001b[0;32m--> 262\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_generate\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    263\u001b[0m \u001b[43m        \u001b[49m\u001b[43mmessages\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstop\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstop\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mrun_manager\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrun_manager\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\n\u001b[1;32m    264\u001b[0m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    265\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m    266\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_generate(messages, stop\u001b[38;5;241m=\u001b[39mstop, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n",
+      "File \u001b[0;32m~/opt/miniconda3/lib/python3.9/site-packages/langchain/chat_models/openai.py:371\u001b[0m, in \u001b[0;36mChatOpenAI._generate\u001b[0;34m(self, messages, stop, run_manager, **kwargs)\u001b[0m\n\u001b[1;32m    363\u001b[0m     message \u001b[38;5;241m=\u001b[39m _convert_dict_to_message(\n\u001b[1;32m    364\u001b[0m         {\n\u001b[1;32m    365\u001b[0m             \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcontent\u001b[39m\u001b[38;5;124m\"\u001b[39m: inner_completion,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    368\u001b[0m         }\n\u001b[1;32m    369\u001b[0m     )\n\u001b[1;32m    370\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m ChatResult(generations\u001b[38;5;241m=\u001b[39m[ChatGeneration(message\u001b[38;5;241m=\u001b[39mmessage)])\n\u001b[0;32m--> 371\u001b[0m response \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcompletion_with_retry\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmessages\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmessage_dicts\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mparams\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    372\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_create_chat_result(response)\n",
+      "File \u001b[0;32m~/opt/miniconda3/lib/python3.9/site-packages/langchain/chat_models/openai.py:319\u001b[0m, in \u001b[0;36mChatOpenAI.completion_with_retry\u001b[0;34m(self, **kwargs)\u001b[0m\n\u001b[1;32m    315\u001b[0m \u001b[38;5;129m@retry_decorator\u001b[39m\n\u001b[1;32m    316\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_completion_with_retry\u001b[39m(\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs: Any) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Any:\n\u001b[1;32m    317\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mclient\u001b[38;5;241m.\u001b[39mcreate(\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[0;32m--> 319\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_completion_with_retry\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m~/opt/miniconda3/lib/python3.9/site-packages/tenacity/__init__.py:289\u001b[0m, in \u001b[0;36mBaseRetrying.wraps.<locals>.wrapped_f\u001b[0;34m(*args, **kw)\u001b[0m\n\u001b[1;32m    287\u001b[0m \u001b[38;5;129m@functools\u001b[39m\u001b[38;5;241m.\u001b[39mwraps(f)\n\u001b[1;32m    288\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mwrapped_f\u001b[39m(\u001b[38;5;241m*\u001b[39margs: t\u001b[38;5;241m.\u001b[39mAny, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkw: t\u001b[38;5;241m.\u001b[39mAny) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m t\u001b[38;5;241m.\u001b[39mAny:\n\u001b[0;32m--> 289\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkw\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m~/opt/miniconda3/lib/python3.9/site-packages/tenacity/__init__.py:379\u001b[0m, in \u001b[0;36mRetrying.__call__\u001b[0;34m(self, fn, *args, **kwargs)\u001b[0m\n\u001b[1;32m    377\u001b[0m retry_state \u001b[38;5;241m=\u001b[39m RetryCallState(retry_object\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m, fn\u001b[38;5;241m=\u001b[39mfn, args\u001b[38;5;241m=\u001b[39margs, kwargs\u001b[38;5;241m=\u001b[39mkwargs)\n\u001b[1;32m    378\u001b[0m \u001b[38;5;28;01mwhile\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[0;32m--> 379\u001b[0m     do \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43miter\u001b[49m\u001b[43m(\u001b[49m\u001b[43mretry_state\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mretry_state\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    380\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(do, DoAttempt):\n\u001b[1;32m    381\u001b[0m         \u001b[38;5;28;01mtry\u001b[39;00m:\n",
+      "File \u001b[0;32m~/opt/miniconda3/lib/python3.9/site-packages/tenacity/__init__.py:314\u001b[0m, in \u001b[0;36mBaseRetrying.iter\u001b[0;34m(self, retry_state)\u001b[0m\n\u001b[1;32m    312\u001b[0m is_explicit_retry \u001b[38;5;241m=\u001b[39m fut\u001b[38;5;241m.\u001b[39mfailed \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(fut\u001b[38;5;241m.\u001b[39mexception(), TryAgain)\n\u001b[1;32m    313\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m (is_explicit_retry \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mretry(retry_state)):\n\u001b[0;32m--> 314\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfut\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mresult\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    316\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mafter \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m    317\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mafter(retry_state)\n",
+      "File \u001b[0;32m~/opt/miniconda3/lib/python3.9/concurrent/futures/_base.py:439\u001b[0m, in \u001b[0;36mFuture.result\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m    437\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m CancelledError()\n\u001b[1;32m    438\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_state \u001b[38;5;241m==\u001b[39m FINISHED:\n\u001b[0;32m--> 439\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m__get_result\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    441\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_condition\u001b[38;5;241m.\u001b[39mwait(timeout)\n\u001b[1;32m    443\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_state \u001b[38;5;129;01min\u001b[39;00m [CANCELLED, CANCELLED_AND_NOTIFIED]:\n",
+      "File \u001b[0;32m~/opt/miniconda3/lib/python3.9/concurrent/futures/_base.py:391\u001b[0m, in \u001b[0;36mFuture.__get_result\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    389\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_exception:\n\u001b[1;32m    390\u001b[0m     \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 391\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_exception\n\u001b[1;32m    392\u001b[0m     \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[1;32m    393\u001b[0m         \u001b[38;5;66;03m# Break a reference cycle with the exception in self._exception\u001b[39;00m\n\u001b[1;32m    394\u001b[0m         \u001b[38;5;28mself\u001b[39m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n",
+      "File \u001b[0;32m~/opt/miniconda3/lib/python3.9/site-packages/tenacity/__init__.py:382\u001b[0m, in \u001b[0;36mRetrying.__call__\u001b[0;34m(self, fn, *args, **kwargs)\u001b[0m\n\u001b[1;32m    380\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(do, DoAttempt):\n\u001b[1;32m    381\u001b[0m     \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 382\u001b[0m         result \u001b[38;5;241m=\u001b[39m \u001b[43mfn\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    383\u001b[0m     \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mBaseException\u001b[39;00m:  \u001b[38;5;66;03m# noqa: B902\u001b[39;00m\n\u001b[1;32m    384\u001b[0m         retry_state\u001b[38;5;241m.\u001b[39mset_exception(sys\u001b[38;5;241m.\u001b[39mexc_info())  \u001b[38;5;66;03m# type: ignore[arg-type]\u001b[39;00m\n",
+      "File \u001b[0;32m~/opt/miniconda3/lib/python3.9/site-packages/langchain/chat_models/openai.py:317\u001b[0m, in \u001b[0;36mChatOpenAI.completion_with_retry.<locals>._completion_with_retry\u001b[0;34m(**kwargs)\u001b[0m\n\u001b[1;32m    315\u001b[0m \u001b[38;5;129m@retry_decorator\u001b[39m\n\u001b[1;32m    316\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_completion_with_retry\u001b[39m(\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs: Any) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Any:\n\u001b[0;32m--> 317\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mclient\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcreate\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m~/opt/miniconda3/lib/python3.9/site-packages/openai/api_resources/chat_completion.py:25\u001b[0m, in \u001b[0;36mChatCompletion.create\u001b[0;34m(cls, *args, **kwargs)\u001b[0m\n\u001b[1;32m     23\u001b[0m \u001b[38;5;28;01mwhile\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[1;32m     24\u001b[0m     \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m---> 25\u001b[0m         \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcreate\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     26\u001b[0m     \u001b[38;5;28;01mexcept\u001b[39;00m TryAgain \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m     27\u001b[0m         \u001b[38;5;28;01mif\u001b[39;00m timeout \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mand\u001b[39;00m time\u001b[38;5;241m.\u001b[39mtime() \u001b[38;5;241m>\u001b[39m start \u001b[38;5;241m+\u001b[39m timeout:\n",
+      "File \u001b[0;32m~/opt/miniconda3/lib/python3.9/site-packages/openai/api_resources/abstract/engine_api_resource.py:153\u001b[0m, in \u001b[0;36mEngineAPIResource.create\u001b[0;34m(cls, api_key, api_base, api_type, request_id, api_version, organization, **params)\u001b[0m\n\u001b[1;32m    127\u001b[0m \u001b[38;5;129m@classmethod\u001b[39m\n\u001b[1;32m    128\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mcreate\u001b[39m(\n\u001b[1;32m    129\u001b[0m     \u001b[38;5;28mcls\u001b[39m,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    136\u001b[0m     \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mparams,\n\u001b[1;32m    137\u001b[0m ):\n\u001b[1;32m    138\u001b[0m     (\n\u001b[1;32m    139\u001b[0m         deployment_id,\n\u001b[1;32m    140\u001b[0m         engine,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    150\u001b[0m         api_key, api_base, api_type, api_version, organization, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mparams\n\u001b[1;32m    151\u001b[0m     )\n\u001b[0;32m--> 153\u001b[0m     response, _, api_key \u001b[38;5;241m=\u001b[39m \u001b[43mrequestor\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrequest\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    154\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mpost\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m    155\u001b[0m \u001b[43m        \u001b[49m\u001b[43murl\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    156\u001b[0m \u001b[43m        \u001b[49m\u001b[43mparams\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mparams\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    157\u001b[0m \u001b[43m        \u001b[49m\u001b[43mheaders\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mheaders\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    158\u001b[0m \u001b[43m        \u001b[49m\u001b[43mstream\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstream\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    159\u001b[0m \u001b[43m        \u001b[49m\u001b[43mrequest_id\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrequest_id\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    160\u001b[0m \u001b[43m        \u001b[49m\u001b[43mrequest_timeout\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrequest_timeout\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    161\u001b[0m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    163\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m stream:\n\u001b[1;32m    164\u001b[0m         \u001b[38;5;66;03m# must be an iterator\u001b[39;00m\n\u001b[1;32m    165\u001b[0m         \u001b[38;5;28;01massert\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(response, OpenAIResponse)\n",
+      "File \u001b[0;32m~/opt/miniconda3/lib/python3.9/site-packages/openai/api_requestor.py:220\u001b[0m, in \u001b[0;36mAPIRequestor.request\u001b[0;34m(self, method, url, params, headers, files, stream, request_id, request_timeout)\u001b[0m\n\u001b[1;32m    209\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mrequest\u001b[39m(\n\u001b[1;32m    210\u001b[0m     \u001b[38;5;28mself\u001b[39m,\n\u001b[1;32m    211\u001b[0m     method,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    218\u001b[0m     request_timeout: Optional[Union[\u001b[38;5;28mfloat\u001b[39m, Tuple[\u001b[38;5;28mfloat\u001b[39m, \u001b[38;5;28mfloat\u001b[39m]]] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m    219\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Tuple[Union[OpenAIResponse, Iterator[OpenAIResponse]], \u001b[38;5;28mbool\u001b[39m, \u001b[38;5;28mstr\u001b[39m]:\n\u001b[0;32m--> 220\u001b[0m     result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrequest_raw\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    221\u001b[0m \u001b[43m        \u001b[49m\u001b[43mmethod\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mlower\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    222\u001b[0m \u001b[43m        \u001b[49m\u001b[43murl\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    223\u001b[0m \u001b[43m        \u001b[49m\u001b[43mparams\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mparams\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    224\u001b[0m \u001b[43m        \u001b[49m\u001b[43msupplied_headers\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mheaders\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    225\u001b[0m \u001b[43m        \u001b[49m\u001b[43mfiles\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfiles\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    226\u001b[0m \u001b[43m        \u001b[49m\u001b[43mstream\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstream\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    227\u001b[0m \u001b[43m        \u001b[49m\u001b[43mrequest_id\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrequest_id\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    228\u001b[0m \u001b[43m        \u001b[49m\u001b[43mrequest_timeout\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrequest_timeout\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    229\u001b[0m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    230\u001b[0m     resp, got_stream \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_interpret_response(result, stream)\n\u001b[1;32m    231\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m resp, got_stream, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mapi_key\n",
+      "File \u001b[0;32m~/opt/miniconda3/lib/python3.9/site-packages/openai/api_requestor.py:520\u001b[0m, in \u001b[0;36mAPIRequestor.request_raw\u001b[0;34m(self, method, url, params, supplied_headers, files, stream, request_id, request_timeout)\u001b[0m\n\u001b[1;32m    518\u001b[0m     _thread_context\u001b[38;5;241m.\u001b[39msession \u001b[38;5;241m=\u001b[39m _make_session()\n\u001b[1;32m    519\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 520\u001b[0m     result \u001b[38;5;241m=\u001b[39m \u001b[43m_thread_context\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msession\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrequest\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    521\u001b[0m \u001b[43m        \u001b[49m\u001b[43mmethod\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    522\u001b[0m \u001b[43m        \u001b[49m\u001b[43mabs_url\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    523\u001b[0m \u001b[43m        \u001b[49m\u001b[43mheaders\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mheaders\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    524\u001b[0m \u001b[43m        \u001b[49m\u001b[43mdata\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdata\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    525\u001b[0m \u001b[43m        \u001b[49m\u001b[43mfiles\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfiles\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    526\u001b[0m \u001b[43m        \u001b[49m\u001b[43mstream\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstream\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    527\u001b[0m \u001b[43m        \u001b[49m\u001b[43mtimeout\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrequest_timeout\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mrequest_timeout\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01melse\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mTIMEOUT_SECS\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    528\u001b[0m \u001b[43m        \u001b[49m\u001b[43mproxies\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m_thread_context\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msession\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mproxies\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    529\u001b[0m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    530\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m requests\u001b[38;5;241m.\u001b[39mexceptions\u001b[38;5;241m.\u001b[39mTimeout \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m    531\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m error\u001b[38;5;241m.\u001b[39mTimeout(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mRequest timed out: \u001b[39m\u001b[38;5;132;01m{}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m.\u001b[39mformat(e)) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01me\u001b[39;00m\n",
+      "File \u001b[0;32m~/opt/miniconda3/lib/python3.9/site-packages/requests/sessions.py:529\u001b[0m, in \u001b[0;36mSession.request\u001b[0;34m(self, method, url, params, data, headers, cookies, files, auth, timeout, allow_redirects, proxies, hooks, stream, verify, cert, json)\u001b[0m\n\u001b[1;32m    524\u001b[0m send_kwargs \u001b[38;5;241m=\u001b[39m {\n\u001b[1;32m    525\u001b[0m     \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtimeout\u001b[39m\u001b[38;5;124m'\u001b[39m: timeout,\n\u001b[1;32m    526\u001b[0m     \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mallow_redirects\u001b[39m\u001b[38;5;124m'\u001b[39m: allow_redirects,\n\u001b[1;32m    527\u001b[0m }\n\u001b[1;32m    528\u001b[0m send_kwargs\u001b[38;5;241m.\u001b[39mupdate(settings)\n\u001b[0;32m--> 529\u001b[0m resp \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msend\u001b[49m\u001b[43m(\u001b[49m\u001b[43mprep\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43msend_kwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    531\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m resp\n",
+      "File \u001b[0;32m~/opt/miniconda3/lib/python3.9/site-packages/requests/sessions.py:645\u001b[0m, in \u001b[0;36mSession.send\u001b[0;34m(self, request, **kwargs)\u001b[0m\n\u001b[1;32m    642\u001b[0m start \u001b[38;5;241m=\u001b[39m preferred_clock()\n\u001b[1;32m    644\u001b[0m \u001b[38;5;66;03m# Send the request\u001b[39;00m\n\u001b[0;32m--> 645\u001b[0m r \u001b[38;5;241m=\u001b[39m \u001b[43madapter\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msend\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    647\u001b[0m \u001b[38;5;66;03m# Total elapsed time of the request (approximately)\u001b[39;00m\n\u001b[1;32m    648\u001b[0m elapsed \u001b[38;5;241m=\u001b[39m preferred_clock() \u001b[38;5;241m-\u001b[39m start\n",
+      "File \u001b[0;32m~/opt/miniconda3/lib/python3.9/site-packages/requests/adapters.py:440\u001b[0m, in \u001b[0;36mHTTPAdapter.send\u001b[0;34m(self, request, stream, timeout, verify, cert, proxies)\u001b[0m\n\u001b[1;32m    438\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m    439\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m chunked:\n\u001b[0;32m--> 440\u001b[0m         resp \u001b[38;5;241m=\u001b[39m \u001b[43mconn\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43murlopen\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    441\u001b[0m \u001b[43m            \u001b[49m\u001b[43mmethod\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrequest\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmethod\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    442\u001b[0m \u001b[43m            \u001b[49m\u001b[43murl\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43murl\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    443\u001b[0m \u001b[43m            \u001b[49m\u001b[43mbody\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrequest\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbody\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    444\u001b[0m \u001b[43m            \u001b[49m\u001b[43mheaders\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrequest\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mheaders\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    445\u001b[0m \u001b[43m            \u001b[49m\u001b[43mredirect\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m    446\u001b[0m \u001b[43m            \u001b[49m\u001b[43massert_same_host\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m    447\u001b[0m \u001b[43m            \u001b[49m\u001b[43mpreload_content\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m    448\u001b[0m \u001b[43m            \u001b[49m\u001b[43mdecode_content\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m    449\u001b[0m \u001b[43m            \u001b[49m\u001b[43mretries\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmax_retries\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    450\u001b[0m \u001b[43m            \u001b[49m\u001b[43mtimeout\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtimeout\u001b[49m\n\u001b[1;32m    451\u001b[0m \u001b[43m        \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    453\u001b[0m     \u001b[38;5;66;03m# Send the request.\u001b[39;00m\n\u001b[1;32m    454\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m    455\u001b[0m         \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mhasattr\u001b[39m(conn, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mproxy_pool\u001b[39m\u001b[38;5;124m'\u001b[39m):\n",
+      "File \u001b[0;32m~/opt/miniconda3/lib/python3.9/site-packages/urllib3/connectionpool.py:703\u001b[0m, in \u001b[0;36mHTTPConnectionPool.urlopen\u001b[0;34m(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw)\u001b[0m\n\u001b[1;32m    700\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_prepare_proxy(conn)\n\u001b[1;32m    702\u001b[0m \u001b[38;5;66;03m# Make the request on the httplib connection object.\u001b[39;00m\n\u001b[0;32m--> 703\u001b[0m httplib_response \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_make_request\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    704\u001b[0m \u001b[43m    \u001b[49m\u001b[43mconn\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    705\u001b[0m \u001b[43m    \u001b[49m\u001b[43mmethod\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    706\u001b[0m \u001b[43m    \u001b[49m\u001b[43murl\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    707\u001b[0m \u001b[43m    \u001b[49m\u001b[43mtimeout\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtimeout_obj\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    708\u001b[0m \u001b[43m    \u001b[49m\u001b[43mbody\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mbody\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    709\u001b[0m \u001b[43m    \u001b[49m\u001b[43mheaders\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mheaders\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    710\u001b[0m \u001b[43m    \u001b[49m\u001b[43mchunked\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mchunked\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    711\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    713\u001b[0m \u001b[38;5;66;03m# If we're going to release the connection in ``finally:``, then\u001b[39;00m\n\u001b[1;32m    714\u001b[0m \u001b[38;5;66;03m# the response doesn't need to know about the connection. Otherwise\u001b[39;00m\n\u001b[1;32m    715\u001b[0m \u001b[38;5;66;03m# it will also try to release it and we'll have a double-release\u001b[39;00m\n\u001b[1;32m    716\u001b[0m \u001b[38;5;66;03m# mess.\u001b[39;00m\n\u001b[1;32m    717\u001b[0m response_conn \u001b[38;5;241m=\u001b[39m conn \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m release_conn \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n",
+      "File \u001b[0;32m~/opt/miniconda3/lib/python3.9/site-packages/urllib3/connectionpool.py:449\u001b[0m, in \u001b[0;36mHTTPConnectionPool._make_request\u001b[0;34m(self, conn, method, url, timeout, chunked, **httplib_request_kw)\u001b[0m\n\u001b[1;32m    444\u001b[0m             httplib_response \u001b[38;5;241m=\u001b[39m conn\u001b[38;5;241m.\u001b[39mgetresponse()\n\u001b[1;32m    445\u001b[0m         \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mBaseException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m    446\u001b[0m             \u001b[38;5;66;03m# Remove the TypeError from the exception chain in\u001b[39;00m\n\u001b[1;32m    447\u001b[0m             \u001b[38;5;66;03m# Python 3 (including for exceptions like SystemExit).\u001b[39;00m\n\u001b[1;32m    448\u001b[0m             \u001b[38;5;66;03m# Otherwise it looks like a bug in the code.\u001b[39;00m\n\u001b[0;32m--> 449\u001b[0m             \u001b[43msix\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mraise_from\u001b[49m\u001b[43m(\u001b[49m\u001b[43me\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\n\u001b[1;32m    450\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m (SocketTimeout, BaseSSLError, SocketError) \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m    451\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_raise_timeout(err\u001b[38;5;241m=\u001b[39me, url\u001b[38;5;241m=\u001b[39murl, timeout_value\u001b[38;5;241m=\u001b[39mread_timeout)\n",
+      "File \u001b[0;32m<string>:3\u001b[0m, in \u001b[0;36mraise_from\u001b[0;34m(value, from_value)\u001b[0m\n",
+      "File \u001b[0;32m~/opt/miniconda3/lib/python3.9/site-packages/urllib3/connectionpool.py:444\u001b[0m, in \u001b[0;36mHTTPConnectionPool._make_request\u001b[0;34m(self, conn, method, url, timeout, chunked, **httplib_request_kw)\u001b[0m\n\u001b[1;32m    441\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m:\n\u001b[1;32m    442\u001b[0m     \u001b[38;5;66;03m# Python 3\u001b[39;00m\n\u001b[1;32m    443\u001b[0m     \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 444\u001b[0m         httplib_response \u001b[38;5;241m=\u001b[39m \u001b[43mconn\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgetresponse\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    445\u001b[0m     \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mBaseException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m    446\u001b[0m         \u001b[38;5;66;03m# Remove the TypeError from the exception chain in\u001b[39;00m\n\u001b[1;32m    447\u001b[0m         \u001b[38;5;66;03m# Python 3 (including for exceptions like SystemExit).\u001b[39;00m\n\u001b[1;32m    448\u001b[0m         \u001b[38;5;66;03m# Otherwise it looks like a bug in the code.\u001b[39;00m\n\u001b[1;32m    449\u001b[0m         six\u001b[38;5;241m.\u001b[39mraise_from(e, \u001b[38;5;28;01mNone\u001b[39;00m)\n",
+      "File \u001b[0;32m~/opt/miniconda3/lib/python3.9/http/client.py:1377\u001b[0m, in \u001b[0;36mHTTPConnection.getresponse\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1375\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m   1376\u001b[0m     \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m-> 1377\u001b[0m         \u001b[43mresponse\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbegin\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1378\u001b[0m     \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mConnectionError\u001b[39;00m:\n\u001b[1;32m   1379\u001b[0m         \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mclose()\n",
+      "File \u001b[0;32m~/opt/miniconda3/lib/python3.9/http/client.py:320\u001b[0m, in \u001b[0;36mHTTPResponse.begin\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    318\u001b[0m \u001b[38;5;66;03m# read until we get a non-100 response\u001b[39;00m\n\u001b[1;32m    319\u001b[0m \u001b[38;5;28;01mwhile\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[0;32m--> 320\u001b[0m     version, status, reason \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_read_status\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    321\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m status \u001b[38;5;241m!=\u001b[39m CONTINUE:\n\u001b[1;32m    322\u001b[0m         \u001b[38;5;28;01mbreak\u001b[39;00m\n",
+      "File \u001b[0;32m~/opt/miniconda3/lib/python3.9/http/client.py:281\u001b[0m, in \u001b[0;36mHTTPResponse._read_status\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    280\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_read_status\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[0;32m--> 281\u001b[0m     line \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mstr\u001b[39m(\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mreadline\u001b[49m\u001b[43m(\u001b[49m\u001b[43m_MAXLINE\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m+\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m)\u001b[49m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124miso-8859-1\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m    282\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(line) \u001b[38;5;241m>\u001b[39m _MAXLINE:\n\u001b[1;32m    283\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m LineTooLong(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mstatus line\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
+      "File \u001b[0;32m~/opt/miniconda3/lib/python3.9/socket.py:704\u001b[0m, in \u001b[0;36mSocketIO.readinto\u001b[0;34m(self, b)\u001b[0m\n\u001b[1;32m    702\u001b[0m \u001b[38;5;28;01mwhile\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[1;32m    703\u001b[0m     \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 704\u001b[0m         \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_sock\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrecv_into\u001b[49m\u001b[43m(\u001b[49m\u001b[43mb\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    705\u001b[0m     \u001b[38;5;28;01mexcept\u001b[39;00m timeout:\n\u001b[1;32m    706\u001b[0m         \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_timeout_occurred \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n",
+      "File \u001b[0;32m~/opt/miniconda3/lib/python3.9/ssl.py:1241\u001b[0m, in \u001b[0;36mSSLSocket.recv_into\u001b[0;34m(self, buffer, nbytes, flags)\u001b[0m\n\u001b[1;32m   1237\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m flags \u001b[38;5;241m!=\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[1;32m   1238\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[1;32m   1239\u001b[0m           \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnon-zero flags not allowed in calls to recv_into() on \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m%\u001b[39m\n\u001b[1;32m   1240\u001b[0m           \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__class__\u001b[39m)\n\u001b[0;32m-> 1241\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread\u001b[49m\u001b[43m(\u001b[49m\u001b[43mnbytes\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mbuffer\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1242\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m   1243\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28msuper\u001b[39m()\u001b[38;5;241m.\u001b[39mrecv_into(buffer, nbytes, flags)\n",
+      "File \u001b[0;32m~/opt/miniconda3/lib/python3.9/ssl.py:1099\u001b[0m, in \u001b[0;36mSSLSocket.read\u001b[0;34m(self, len, buffer)\u001b[0m\n\u001b[1;32m   1097\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m   1098\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m buffer \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m-> 1099\u001b[0m         \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_sslobj\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mlen\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mbuffer\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1100\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m   1101\u001b[0m         \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_sslobj\u001b[38;5;241m.\u001b[39mread(\u001b[38;5;28mlen\u001b[39m)\n",
+      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
      ]
     }
    ],
@@ -556,7 +831,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 58,
    "id": "fba1a5db",
    "metadata": {
     "height": 30
@@ -565,18 +840,16 @@
     {
      "data": {
       "text/markdown": [
-       "| Shirt Name | Description |\n",
+       "\n",
+       "\n",
+       "| Name | Description |\n",
        "| --- | --- |\n",
-       "| Sun Shield Shirt | High-performance sun shirt made of 78% nylon and 22% Lycra Xtra Life fiber. UPF 50+ rated. Wicks moisture for quick-drying comfort. Fits comfortably over your favorite swimsuit. Abrasion-resistant. Provides SPF 50+ sun protection, blocking 98% of the sun's harmful rays. |\n",
-       "| Men's Tropical Plaid Short-Sleeve Shirt | Lightest hot-weather shirt made of 100% polyester. Rated UPF 50+ for superior protection from the sun's UV rays. Traditional fit that is relaxed through the chest, sleeve, and waist. Wrinkle-resistant. Front and back cape venting that lets in cool breezes. Two front bellows pockets. Provides SPF 50+ sun protection, blocking 98% of the sun's harmful rays. |\n",
-       "| Men's Plaid Tropic Shirt, Short-Sleeve | Ultracomfortable sun protection rated to UPF 50+. Made with 52% polyester and 48% nylon. Originally designed for fishing. Lightest hot-weather shirt that offers UPF 50+ coverage. SunSmart technology blocks 98% of the sun's harmful UV rays. High-performance fabric is wrinkle-free and quickly evaporates perspiration. Front and back cape venting. Two front bellows pockets. Provides UPF 50+ coverage, limiting sun exposure and providing the highest rated sun protection available. |\n",
-       "| Tropical Breeze Shirt | Lightweight, breathable long-sleeve men’s UPF shirt. Made of 71% nylon and 29% polyester. UPF 50+ rated. Wrinkle-resistant and moisture-wicking fabric keeps you cool and comfortable. Traditional fit that is relaxed through the chest, sleeve, and waist. Originally designed for fishing. Innovative SunSmart technology blocks 98% of the sun's harmful UV rays. Front and back cape venting lets in cool breezes. Two front bellows pockets. |\n",
+       "| Men's Tropical Plaid Short-Sleeve Shirt | UPF 50+ rated, 100% polyester, wrinkle-resistant, front and back cape venting, two front bellows pockets |\n",
+       "| Men's Plaid Tropic Shirt, Short-Sleeve | UPF 50+ rated, 52% polyester and 48% nylon, machine washable and dryable, front and back cape venting, two front bellows pockets |\n",
+       "| Men's TropicVibe Shirt, Short-Sleeve | UPF 50+ rated, 71% Nylon, 29% Polyester, 100% Polyester knit mesh, machine wash and dry, front and back cape venting, two front bellows pockets |\n",
+       "| Sun Shield Shirt by | UPF 50+ rated, 78% nylon, 22% Lycra Xtra Life fiber, handwash, line dry, wicks moisture, fits comfortably over swimsuit, abrasion resistant |\n",
        "\n",
-       "Summary:\n",
-       "- Sun Shield Shirt: High-performance sun shirt made of nylon and Lycra Xtra Life fiber. Provides SPF 50+ sun protection, blocking 98% of the sun's harmful rays.\n",
-       "- Men's Tropical Plaid Short-Sleeve Shirt: Lightest hot-weather shirt made of polyester. Rated UPF 50+. Provides SPF 50+ sun protection, blocking 98% of the sun's harmful rays.\n",
-       "- Men's Plaid Tropic Shirt, Short-Sleeve: Ultracomfortable sun protection rated to UPF 50+. Made with polyester and nylon. Provides UPF 50+ coverage, limiting sun exposure and providing the highest rated sun protection available.\n",
-       "- Tropical Breeze Shirt: Lightweight, breathable long-sleeve men’s UPF shirt made of nylon and polyester. Provides UPF 50+ coverage. Innovative SunSmart technology blocks 98% of the sun's harmful UV rays."
+       "All four shirts provide UPF 50+ sun protection, blocking 98% of the sun's harmful rays. The Men's Tropical Plaid Short-Sleeve Shirt is made of 100% polyester and is wrinkle-resistant"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -631,7 +904,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.14"
+   "version": "3.9.12"
   },
   "toc": {
    "base_numbering": 1,
diff --git "a/content/\345\277\205\344\277\256\344\270\211-LangChain for LLM Application Development/6.\350\257\204\344\274\260 Evaluation.ipynb" "b/content/\345\277\205\344\277\256\344\270\211-LangChain for LLM Application Development/6.\350\257\204\344\274\260 Evaluation.ipynb"
index 707f1e8b..0693575b 100644
--- "a/content/\345\277\205\344\277\256\344\270\211-LangChain for LLM Application Development/6.\350\257\204\344\274\260 Evaluation.ipynb"	
+++ "b/content/\345\277\205\344\277\256\344\270\211-LangChain for LLM Application Development/6.\350\257\204\344\274\260 Evaluation.ipynb"	
@@ -1 +1 @@
-{"cells":[{"cell_type":"markdown","id":"52824b89-532a-4e54-87e9-1410813cd39e","metadata":{},"source":["# 第六章 评估\n","\n"," - [一、设置OpenAI API Key](#一、设置OpenAI-API-Key)\n"," - [二、 创建LLM应用](#二、-创建LLM应用)\n","     - [2.1 创建评估数据点](#2.1-创建评估数据点)\n","     - [2.2 创建测试用例数据](#2.2-创建测试用例数据)\n","     - [2.3 通过LLM生成测试用例](#2.3-通过LLM生成测试用例)\n","     - [2.4 组合用例数据](#2.4-组合用例数据)\n"," - [三、 人工评估](#三、-人工评估)\n","     - [3.1 如何评估新创建的实例](#3.1-如何评估新创建的实例)\n","     - [3.2 中文版](#3.2-中文版)\n"," - [四、 通过LLM进行评估实例](#四、-通过LLM进行评估实例)\n","     - [4.1  评估思路](#4.1--评估思路)\n","     - [4.2 结果分析](#4.2-结果分析)\n","     - [3.3 通过LLM进行评估实例](#3.3-通过LLM进行评估实例)\n"]},{"cell_type":"markdown","id":"75dfe281-7c7a-43f7-9f8c-3de3a0139baa","metadata":{"tags":[]},"source":["## 一、设置OpenAI API Key\n","\n","登陆 [OpenAI 账户](https://platform.openai.com/account/api-keys) 获取API Key，然后将其设置为环境变量。\n","\n","- 如果你想要设置为全局环境变量，可以参考[知乎文章](https://zhuanlan.zhihu.com/p/627665725)。\n","- 如果你想要设置为本地/项目环境变量，在本文件目录下创建`.env`文件, 打开文件输入以下内容。\n","\n","    <p style=\"font-family:verdana; font-size:12px;color:green\">\n","    OPENAI_API_KEY=\"your_api_key\" \n","    </p>\n","  \n","  替换\"your_api_key\"为你自己的 API Key"]},{"cell_type":"code","execution_count":1,"id":"15a8c608-71bf-4a44-835f-0ff36cbc4533","metadata":{"tags":[]},"outputs":[],"source":["import os\n","import openai\n","from dotenv import load_dotenv, find_dotenv\n","\n","# 读取本地/项目的环境变量。\n","\n","# find_dotenv()寻找并定位.env文件的路径\n","# load_dotenv()读取该.env文件，并将其中的环境变量加载到当前的运行环境中  \n","# 如果你设置的是全局的环境变量，这行代码则没有任何作用。\n","_ = load_dotenv(find_dotenv())\n","\n","# 获取环境变量 OPENAI_API_KEY\n","openai.api_key = os.environ['OPENAI_API_KEY']  "]},{"cell_type":"markdown","id":"28008949","metadata":{"tags":[]},"source":["## 二、 创建LLM应用\n","按照langchain链的方式进行构建"]},{"cell_type":"code","execution_count":2,"id":"974acf8e-8f88-42de-88f8-40a82cb58e8b","metadata":{"height":98},"outputs":[],"source":["from langchain.chains.retrieval_qa.base import RetrievalQA #检索QA链，在文档上进行检索\n","from langchain.chat_models.openai import ChatOpenAI #openai模型\n","from langchain.document_loaders import CSVLoader #文档加载器，采用csv格式存储\n","from langchain.indexes import VectorstoreIndexCreator #导入向量存储索引创建器\n","from langchain.vectorstores import DocArrayInMemorySearch #向量存储"]},{"cell_type":"code","execution_count":3,"id":"9ec1106d","metadata":{"height":64},"outputs":[],"source":["#加载数据\n","file = './data/OutdoorClothingCatalog_1000.csv'\n","loader = CSVLoader(file_path=file)\n","data = loader.load()"]},{"cell_type":"code","execution_count":4,"id":"06b1ffae","metadata":{},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>0</th>\n","      <th>1</th>\n","      <th>2</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>NaN</td>\n","      <td>name</td>\n","      <td>description</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>0.0</td>\n","      <td>Women's Campside Oxfords</td>\n","      <td>This ultracomfortable lace-to-toe Oxford boast...</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>1.0</td>\n","      <td>Recycled Waterhog Dog Mat, Chevron Weave</td>\n","      <td>Protect your floors from spills and splashing ...</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>2.0</td>\n","      <td>Infant and Toddler Girls' Coastal Chill Swimsu...</td>\n","      <td>She'll love the bright colors, ruffles and exc...</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>3.0</td>\n","      <td>Refresh Swimwear, V-Neck Tankini Contrasts</td>\n","      <td>Whether you're going for a swim or heading out...</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>996</th>\n","      <td>995.0</td>\n","      <td>Men's  Classic Denim, Standard Fit</td>\n","      <td>Crafted from premium denim that will last wash...</td>\n","    </tr>\n","    <tr>\n","      <th>997</th>\n","      <td>996.0</td>\n","      <td>CozyPrint Sweater Fleece Pullover</td>\n","      <td>The ultimate sweater fleece - made from superi...</td>\n","    </tr>\n","    <tr>\n","      <th>998</th>\n","      <td>997.0</td>\n","      <td>Women's NRS Endurance Spray Paddling Pants</td>\n","      <td>These comfortable and affordable splash paddli...</td>\n","    </tr>\n","    <tr>\n","      <th>999</th>\n","      <td>998.0</td>\n","      <td>Women's Stop Flies Hoodie</td>\n","      <td>This great-looking hoodie uses No Fly Zone Tec...</td>\n","    </tr>\n","    <tr>\n","      <th>1000</th>\n","      <td>999.0</td>\n","      <td>Modern Utility Bag</td>\n","      <td>This US-made crossbody bag is built with the s...</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>1001 rows × 3 columns</p>\n","</div>"],"text/plain":["          0                                                  1  \\\n","0       NaN                                               name   \n","1       0.0                           Women's Campside Oxfords   \n","2       1.0           Recycled Waterhog Dog Mat, Chevron Weave   \n","3       2.0  Infant and Toddler Girls' Coastal Chill Swimsu...   \n","4       3.0         Refresh Swimwear, V-Neck Tankini Contrasts   \n","...     ...                                                ...   \n","996   995.0                 Men's  Classic Denim, Standard Fit   \n","997   996.0                  CozyPrint Sweater Fleece Pullover   \n","998   997.0         Women's NRS Endurance Spray Paddling Pants   \n","999   998.0                          Women's Stop Flies Hoodie   \n","1000  999.0                                 Modern Utility Bag   \n","\n","                                                      2  \n","0                                           description  \n","1     This ultracomfortable lace-to-toe Oxford boast...  \n","2     Protect your floors from spills and splashing ...  \n","3     She'll love the bright colors, ruffles and exc...  \n","4     Whether you're going for a swim or heading out...  \n","...                                                 ...  \n","996   Crafted from premium denim that will last wash...  \n","997   The ultimate sweater fleece - made from superi...  \n","998   These comfortable and affordable splash paddli...  \n","999   This great-looking hoodie uses No Fly Zone Tec...  \n","1000  This US-made crossbody bag is built with the s...  \n","\n","[1001 rows x 3 columns]"]},"execution_count":4,"metadata":{},"output_type":"execute_result"}],"source":["#查看数据\n","import pandas as pd\n","test_data = pd.read_csv(file,header=None)\n","test_data"]},{"cell_type":"code","execution_count":5,"id":"b31c218f","metadata":{"height":64},"outputs":[{"name":"stderr","output_type":"stream","text":["/Users/lta/anaconda3/envs/cookbook/lib/python3.10/site-packages/langchain_core/_api/deprecation.py:119: LangChainDeprecationWarning: The class `OpenAIEmbeddings` was deprecated in LangChain 0.0.9 and will be removed in 0.3.0. An updated version of the class exists in the langchain-openai package and should be used instead. To use it run `pip install -U langchain-openai` and import as `from langchain_openai import OpenAIEmbeddings`.\n","  warn_deprecated(\n","/Users/lta/anaconda3/envs/cookbook/lib/python3.10/site-packages/pydantic/_migration.py:283: UserWarning: `pydantic.error_wrappers:ValidationError` has been moved to `pydantic:ValidationError`.\n","  warnings.warn(f'`{import_path}` has been moved to `{new_location}`.')\n"]}],"source":["from langchain_community.embeddings.openai import OpenAIEmbeddings\n","'''\n","将指定向量存储类,创建完成后，我们将从加载器中调用,通过文档记载器列表加载\n","'''\n","embeddings = OpenAIEmbeddings(model='text-embedding-3-small') #初始化\n","index = VectorstoreIndexCreator(\n","    embedding=embeddings,\n","    vectorstore_cls=DocArrayInMemorySearch\n",").from_documents(data[:100]) # 考虑到时间及经济方面只向量化前100行数据"]},{"cell_type":"code","execution_count":6,"id":"a2006054","metadata":{"height":183},"outputs":[{"name":"stderr","output_type":"stream","text":["/Users/lta/anaconda3/envs/cookbook/lib/python3.10/site-packages/langchain_core/_api/deprecation.py:119: LangChainDeprecationWarning: The class `ChatOpenAI` was deprecated in LangChain 0.0.10 and will be removed in 0.3.0. An updated version of the class exists in the langchain-openai package and should be used instead. To use it run `pip install -U langchain-openai` and import as `from langchain_openai import ChatOpenAI`.\n","  warn_deprecated(\n"]}],"source":["#通过指定语言模型、链类型、检索器和我们要打印的详细程度来创建检索QA链\n","llm = ChatOpenAI(temperature = 0.0)\n","qa = RetrievalQA.from_chain_type(\n","    llm=llm, \n","    chain_type=\"stuff\", \n","    retriever=index.vectorstore.as_retriever(), \n","    verbose=True,\n","    chain_type_kwargs = {\n","        \"document_separator\": \"<<<<>>>>>\"\n","    }\n",")"]},{"cell_type":"markdown","id":"791ebd73","metadata":{},"source":["### 2.1 创建评估数据点\n","我们需要做的第一件事是真正弄清楚我们想要评估它的一些数据点，我们将介绍几种不同的方法来完成这个任务\n","\n","1、将自己想出好的数据点作为例子，查看一些数据，然后想出例子问题和答案，以便以后用于评估"]},{"cell_type":"code","execution_count":7,"id":"fb04a0f9","metadata":{"height":30},"outputs":[{"data":{"text/plain":["Document(page_content=\": 10\\nname: Cozy Comfort Pullover Set, Stripe\\ndescription: Perfect for lounging, this striped knit set lives up to its name. We used ultrasoft fabric and an easy design that's as comfortable at bedtime as it is when we have to make a quick run out.\\n\\nSize & Fit\\n- Pants are Favorite Fit: Sits lower on the waist.\\n- Relaxed Fit: Our most generous fit sits farthest from the body.\\n\\nFabric & Care\\n- In the softest blend of 63% polyester, 35% rayon and 2% spandex.\\n\\nAdditional Features\\n- Relaxed fit top with raglan sleeves and rounded hem.\\n- Pull-on pants have a wide elastic waistband and drawstring, side pockets and a modern slim leg.\\n\\nImported.\", metadata={'source': './data/OutdoorClothingCatalog_1000.csv', 'row': 10})"]},"execution_count":7,"metadata":{},"output_type":"execute_result"}],"source":["data[10]#查看这里的一些文档，我们可以对其中发生的事情有所了解"]},{"cell_type":"code","execution_count":8,"id":"fe4a88c2","metadata":{"height":30},"outputs":[{"data":{"text/plain":["Document(page_content=': 11\\nname: Ultra-Lofty 850 Stretch Down Hooded Jacket\\ndescription: This technical stretch down jacket from our DownTek collection is sure to keep you warm and comfortable with its full-stretch construction providing exceptional range of motion. With a slightly fitted style that falls at the hip and best with a midweight layer, this jacket is suitable for light activity up to 20° and moderate activity up to -30°. The soft and durable 100% polyester shell offers complete windproof protection and is insulated with warm, lofty goose down. Other features include welded baffles for a no-stitch construction and excellent stretch, an adjustable hood, an interior media port and mesh stash pocket and a hem drawcord. Machine wash and dry. Imported.', metadata={'source': './data/OutdoorClothingCatalog_1000.csv', 'row': 11})"]},"execution_count":8,"metadata":{},"output_type":"execute_result"}],"source":["data[11]"]},{"cell_type":"markdown","id":"b9c52116","metadata":{},"source":["看起来第一个文档中有这个套头衫，第二个文档中有这个夹克，从这些细节中，我们可以创建一些例子查询和答案"]},{"cell_type":"markdown","id":"8d548aef","metadata":{},"source":["### 2.2 创建测试用例数据\n"]},{"cell_type":"code","execution_count":9,"id":"c2d59bf2","metadata":{"height":217},"outputs":[],"source":["examples = [\n","    {\n","        \"query\": \"Do the Cozy Comfort Pullover Set\\\n","        have side pockets?\",\n","        \"answer\": \"Yes\"\n","    },\n","    {\n","        \"query\": \"What collection is the Ultra-Lofty \\\n","        850 Stretch Down Hooded Jacket from?\",\n","        \"answer\": \"The DownTek collection\"\n","    }\n","]"]},{"cell_type":"markdown","id":"b73ce510","metadata":{},"source":["因此，我们可以问一个简单的问题，这个舒适的套头衫套装有侧口袋吗？，我们可以通过上面的内容看到，它确实有一些侧口袋，答案为是\n","对于第二个文档，我们可以看到这件夹克来自某个系列，即down tech系列，答案是down tech系列。"]},{"cell_type":"markdown","id":"c7ce3e4f","metadata":{},"source":["### 2.3 通过LLM生成测试用例"]},{"cell_type":"code","execution_count":10,"id":"d44f8376","metadata":{"height":47},"outputs":[],"source":["from langchain.evaluation.qa import QAGenerateChain #导入QA生成链，它将接收文档，并从每个文档中创建一个问题答案对"]},{"cell_type":"code","execution_count":11,"id":"34e87816","metadata":{"height":30},"outputs":[],"source":["example_gen_chain = QAGenerateChain.from_llm(ChatOpenAI())#通过传递chat open AI语言模型来创建这个链"]},{"cell_type":"code","execution_count":12,"id":"b93e7a5d","metadata":{},"outputs":[{"data":{"text/plain":["[Document(page_content=\": 0\\nname: Women's Campside Oxfords\\ndescription: This ultracomfortable lace-to-toe Oxford boasts a super-soft canvas, thick cushioning, and quality construction for a broken-in feel from the first time you put them on. \\n\\nSize & Fit: Order regular shoe size. For half sizes not offered, order up to next whole size. \\n\\nSpecs: Approx. weight: 1 lb.1 oz. per pair. \\n\\nConstruction: Soft canvas material for a broken-in feel and look. Comfortable EVA innersole with Cleansport NXT® antimicrobial odor control. Vintage hunt, fish and camping motif on innersole. Moderate arch contour of innersole. EVA foam midsole for cushioning and support. Chain-tread-inspired molded rubber outsole with modified chain-tread pattern. Imported. \\n\\nQuestions? Please contact us for any inquiries.\", metadata={'source': './data/OutdoorClothingCatalog_1000.csv', 'row': 0}),\n"," Document(page_content=': 1\\nname: Recycled Waterhog Dog Mat, Chevron Weave\\ndescription: Protect your floors from spills and splashing with our ultradurable recycled Waterhog dog mat made right here in the USA. \\n\\nSpecs\\nSmall - Dimensions: 18\" x 28\". \\nMedium - Dimensions: 22.5\" x 34.5\".\\n\\nWhy We Love It\\nMother nature, wet shoes and muddy paws have met their match with our Recycled Waterhog mats. Ruggedly constructed from recycled plastic materials, these ultratough mats help keep dirt and water off your floors and plastic out of landfills, trails and oceans. Now, that\\'s a win-win for everyone.\\n\\nFabric & Care\\nVacuum or hose clean.\\n\\nConstruction\\n24 oz. polyester fabric made from 94% recycled materials.\\nRubber backing.\\n\\nAdditional Features\\nFeatures an -exclusive design.\\nFeatures thick and thin fibers for scraping dirt and absorbing water.\\nDries quickly and resists fading, rotting, mildew and shedding.\\nUse indoors or out.\\nMade in the USA.\\n\\nHave questions? Reach out to our customer service team with any questions you may have.', metadata={'source': './data/OutdoorClothingCatalog_1000.csv', 'row': 1}),\n"," Document(page_content=\": 2\\nname: Infant and Toddler Girls' Coastal Chill Swimsuit, Two-Piece\\ndescription: She'll love the bright colors, ruffles and exclusive whimsical prints of this toddler's two-piece swimsuit! Our four-way-stretch and chlorine-resistant fabric keeps its shape and resists snags. The UPF 50+ rated fabric provides the highest rated sun protection possible, blocking 98% of the sun's harmful rays. The crossover no-slip straps and fully lined bottom ensure a secure fit and maximum coverage. Machine wash and line dry for best results. Imported.\", metadata={'source': './data/OutdoorClothingCatalog_1000.csv', 'row': 2}),\n"," Document(page_content=\": 3\\nname: Refresh Swimwear, V-Neck Tankini Contrasts\\ndescription: Whether you're going for a swim or heading out on an SUP, this watersport-ready tankini top is designed to move with you and stay comfortable. All while looking great in an eye-catching colorblock style. \\n\\nSize & Fit\\nFitted: Sits close to the body.\\n\\nWhy We Love It\\nNot only does this swimtop feel good to wear, its fabric is good for the earth too. In recycled nylon, with Lycra® spandex for the perfect amount of stretch. \\n\\nFabric & Care\\nThe premium Italian-blend is breathable, quick drying and abrasion resistant. \\nBody in 82% recycled nylon with 18% Lycra® spandex. \\nLined in 90% recycled nylon with 10% Lycra® spandex. \\nUPF 50+ rated – the highest rated sun protection possible. \\nHandwash, line dry.\\n\\nAdditional Features\\nLightweight racerback straps are easy to get on and off, and won't get in your way. \\nFlattering V-neck silhouette. \\nImported.\\n\\nSun Protection That Won't Wear Off\\nOur high-performance fabric provides SPF\", metadata={'source': './data/OutdoorClothingCatalog_1000.csv', 'row': 3}),\n"," Document(page_content=\": 4\\nname: EcoFlex 3L Storm Pants\\ndescription: Our new TEK O2 technology makes our four-season waterproof pants even more breathable. It's guaranteed to keep you dry and comfortable – whatever the activity and whatever the weather. Size & Fit: Slightly Fitted through hip and thigh. \\n\\nWhy We Love It: Our state-of-the-art TEK O2 technology offers the most breathability we've ever tested. Great as ski pants, they're ideal for a variety of outdoor activities year-round. Plus, they're loaded with features outdoor enthusiasts appreciate, including weather-blocking gaiters and handy side zips. Air In. Water Out. See how our air-permeable TEK O2 technology keeps you dry and comfortable. \\n\\nFabric & Care: 100% nylon, exclusive of trim. Machine wash and dry. \\n\\nAdditional Features: Three-layer shell delivers waterproof protection. Brand new TEK O2 technology provides enhanced breathability. Interior gaiters keep out rain and snow. Full side zips for easy on/off over boots. Two zippered hand pockets. Thigh pocket. Imported.\\n\\n – Official Supplier to the U.S. Ski Team\\nTHEIR WILL\", metadata={'source': './data/OutdoorClothingCatalog_1000.csv', 'row': 4})]"]},"execution_count":12,"metadata":{},"output_type":"execute_result"}],"source":["data[:5]"]},{"cell_type":"code","execution_count":13,"id":"62abae09","metadata":{"height":64},"outputs":[{"name":"stderr","output_type":"stream","text":["/Users/lta/anaconda3/envs/cookbook/lib/python3.10/site-packages/langchain/chains/llm.py:367: UserWarning: The apply_and_parse method is deprecated, instead pass an output parser directly to LLMChain.\n","  warnings.warn(\n"]}],"source":["new_examples = example_gen_chain.apply_and_parse(\n","    [{\"doc\": t} for t in data[:5]]\n",") #我们可以创建许多例子"]},{"cell_type":"code","execution_count":14,"id":"31c9f786","metadata":{},"outputs":[{"data":{"text/plain":["[{'qa_pairs': {'query': \"What is the weight of one pair of Women's Campside Oxfords?\",\n","   'answer': \"The approximate weight of one pair of Women's Campside Oxfords is 1 lb. 1 oz.\"}},\n"," {'qa_pairs': {'query': 'What are the dimensions of the small and medium sizes of the Recycled Waterhog Dog Mat, Chevron Weave?',\n","   'answer': 'The small size has dimensions of 18\" x 28\", while the medium size has dimensions of 22.5\" x 34.5\".'}},\n"," {'qa_pairs': {'query': \"What are some key features of the Infant and Toddler Girls' Coastal Chill Swimsuit, Two-Piece as described in the document?\",\n","   'answer': 'Some key features of the swimsuit include bright colors, ruffles, exclusive whimsical prints, four-way-stretch and chlorine-resistant fabric, UPF 50+ rated fabric for sun protection, crossover no-slip straps, fully lined bottom for secure fit and maximum coverage, and the recommendation to machine wash and line dry for best results.'}},\n"," {'qa_pairs': {'query': 'What is the composition of the fabric used in the Refresh Swimwear V-Neck Tankini Contrasts?',\n","   'answer': 'The body of the tankini is made of 82% recycled nylon and 18% Lycra® spandex, while the lining is made of 90% recycled nylon and 10% Lycra® spandex.'}},\n"," {'qa_pairs': {'query': 'What technology is used in the EcoFlex 3L Storm Pants to make them more breathable and waterproof?',\n","   'answer': 'The EcoFlex 3L Storm Pants use TEK O2 technology to make them more breathable and waterproof.'}}]"]},"execution_count":14,"metadata":{},"output_type":"execute_result"}],"source":["new_examples #查看用例数据"]},{"cell_type":"code","execution_count":15,"id":"97ab28b5","metadata":{"height":30},"outputs":[{"data":{"text/plain":["{'qa_pairs': {'query': \"What is the weight of one pair of Women's Campside Oxfords?\",\n","  'answer': \"The approximate weight of one pair of Women's Campside Oxfords is 1 lb. 1 oz.\"}}"]},"execution_count":15,"metadata":{},"output_type":"execute_result"}],"source":["new_examples[0]"]},{"cell_type":"code","execution_count":16,"id":"0ebe4228","metadata":{"height":30},"outputs":[{"data":{"text/plain":["Document(page_content=\": 0\\nname: Women's Campside Oxfords\\ndescription: This ultracomfortable lace-to-toe Oxford boasts a super-soft canvas, thick cushioning, and quality construction for a broken-in feel from the first time you put them on. \\n\\nSize & Fit: Order regular shoe size. For half sizes not offered, order up to next whole size. \\n\\nSpecs: Approx. weight: 1 lb.1 oz. per pair. \\n\\nConstruction: Soft canvas material for a broken-in feel and look. Comfortable EVA innersole with Cleansport NXT® antimicrobial odor control. Vintage hunt, fish and camping motif on innersole. Moderate arch contour of innersole. EVA foam midsole for cushioning and support. Chain-tread-inspired molded rubber outsole with modified chain-tread pattern. Imported. \\n\\nQuestions? Please contact us for any inquiries.\", metadata={'source': './data/OutdoorClothingCatalog_1000.csv', 'row': 0})"]},"execution_count":16,"metadata":{},"output_type":"execute_result"}],"source":["data[0]"]},{"cell_type":"markdown","id":"faf25f2f","metadata":{},"source":["### 2.4 组合用例数据"]},{"cell_type":"code","execution_count":17,"id":"ada2a3fc","metadata":{"height":30},"outputs":[],"source":["examples += new_examples"]},{"cell_type":"code","execution_count":18,"id":"9cdf5cf5","metadata":{"height":30},"outputs":[{"name":"stderr","output_type":"stream","text":["/Users/lta/anaconda3/envs/cookbook/lib/python3.10/site-packages/langchain_core/_api/deprecation.py:119: LangChainDeprecationWarning: The method `Chain.run` was deprecated in langchain 0.1.0 and will be removed in 0.3.0. Use invoke instead.\n","  warn_deprecated(\n"]},{"name":"stdout","output_type":"stream","text":["\n","\n","\u001b[1m> Entering new RetrievalQA chain...\u001b[0m\n","\n","\u001b[1m> Finished chain.\u001b[0m\n"]},{"data":{"text/plain":["'Yes, the Cozy Comfort Pullover Set does have side pockets.'"]},"execution_count":18,"metadata":{},"output_type":"execute_result"}],"source":["qa.run(examples[0][\"query\"])"]},{"cell_type":"markdown","id":"6f596f04-012a-4fbd-8de1-d849dfa7a837","metadata":{"tags":[]},"source":["\n","### 2.5 中文版\n","按照langchain链的方式进行构建"]},{"cell_type":"code","execution_count":19,"id":"c045628e","metadata":{},"outputs":[],"source":["from langchain.chains.retrieval_qa.base import RetrievalQA #检索QA链，在文档上进行检索\n","from langchain.chat_models.openai import ChatOpenAI #openai模型\n","from langchain.document_loaders import CSVLoader #文档加载器，采用csv格式存储\n","from langchain.indexes import VectorstoreIndexCreator #导入向量存储索引创建器\n","from langchain.vectorstores import DocArrayInMemorySearch #向量存储\n"]},{"cell_type":"code","execution_count":20,"id":"bfd04e93","metadata":{},"outputs":[],"source":["#加载中文数据\n","file = './data/product_data.csv'\n","loader = CSVLoader(file_path=file)\n","data = loader.load()"]},{"cell_type":"code","execution_count":21,"id":"da8eb973","metadata":{},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>0</th>\n","      <th>1</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>product_name</td>\n","      <td>description</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>全自动咖啡机</td>\n","      <td>规格:\\n大型 - 尺寸：13.8'' x 17.3''。\\n中型 - 尺寸：11.5'' ...</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>电动牙刷</td>\n","      <td>规格:\\n一般大小 - 高度：9.5''，宽度：1''。\\n\\n为什么我们热爱它:\\n我们的...</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>橙味维生素C泡腾片</td>\n","      <td>规格:\\n每盒含有20片。\\n\\n为什么我们热爱它:\\n我们的橙味维生素C泡腾片是快速补充维...</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>无线蓝牙耳机</td>\n","      <td>规格:\\n单个耳机尺寸：1.5'' x 1.3''。\\n\\n为什么我们热爱它:\\n这款无线蓝...</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>瑜伽垫</td>\n","      <td>规格:\\n尺寸：24'' x 68''。\\n\\n为什么我们热爱它:\\n我们的瑜伽垫拥有出色的...</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>防水运动手表</td>\n","      <td>规格:\\n表盘直径：40mm。\\n\\n为什么我们热爱它:\\n这款防水运动手表配备了心率监测和...</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>书籍:《机器学习基础》</td>\n","      <td>规格:\\n页数：580页。\\n\\n为什么我们热爱它:\\n《机器学习基础》以易懂的语言讲解了机...</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>空气净化器</td>\n","      <td>规格:\\n尺寸：15'' x 15'' x 20''。\\n\\n为什么我们热爱它:\\n我们的空...</td>\n","    </tr>\n","    <tr>\n","      <th>9</th>\n","      <td>陶瓷保温杯</td>\n","      <td>规格:\\n容量：350ml。\\n\\n为什么我们热爱它:\\n我们的陶瓷保温杯设计优雅，保温效果...</td>\n","    </tr>\n","    <tr>\n","      <th>10</th>\n","      <td>宠物自动喂食器</td>\n","      <td>规格:\\n尺寸：14'' x 9'' x 15''。\\n\\n为什么我们热爱它:\\n我们的宠物...</td>\n","    </tr>\n","    <tr>\n","      <th>11</th>\n","      <td>高清电视机</td>\n","      <td>规格:\\n尺寸：50''。\\n\\n为什么我们热爱它:\\n我们的高清电视机拥有出色的画质和强大...</td>\n","    </tr>\n","    <tr>\n","      <th>12</th>\n","      <td>旅行背包</td>\n","      <td>规格:\\n尺寸：18'' x 12'' x 6''。\\n\\n为什么我们热爱它:\\n我们的旅行...</td>\n","    </tr>\n","    <tr>\n","      <th>13</th>\n","      <td>太阳能庭院灯</td>\n","      <td>规格:\\n高度：18''。\\n\\n为什么我们热爱它:\\n我们的太阳能庭院灯无需电源，只需将其...</td>\n","    </tr>\n","    <tr>\n","      <th>14</th>\n","      <td>厨房刀具套装</td>\n","      <td>规格:\\n一套包括8把刀。\\n\\n为什么我们热爱它:\\n我们的厨房刀具套装由专业级不锈钢制成...</td>\n","    </tr>\n","    <tr>\n","      <th>15</th>\n","      <td>迷你无线蓝牙音箱</td>\n","      <td>规格:\\n直径：3''，高度：2''。\\n\\n为什么我们热爱它:\\n我们的迷你无线蓝牙音箱体...</td>\n","    </tr>\n","    <tr>\n","      <th>16</th>\n","      <td>抗菌洗手液</td>\n","      <td>规格:\\n容量：500ml。\\n\\n为什么我们热爱它:\\n我们的抗菌洗手液含有天然植物精华，...</td>\n","    </tr>\n","    <tr>\n","      <th>17</th>\n","      <td>纯棉T恤</td>\n","      <td>规格:\\n尺码：S, M, L, XL, XXL。\\n\\n为什么我们热爱它:\\n我们的纯棉T...</td>\n","    </tr>\n","    <tr>\n","      <th>18</th>\n","      <td>自动咖啡机</td>\n","      <td>规格:\\n尺寸：12'' x 8'' x 14''。\\n\\n为什么我们热爱它:\\n我们的自动...</td>\n","    </tr>\n","    <tr>\n","      <th>19</th>\n","      <td>摄像头保护套</td>\n","      <td>规格:\\n适用于各种品牌和型号的摄像头。\\n\\n为什么我们热爱它:\\n我们的摄像头保护套可以...</td>\n","    </tr>\n","    <tr>\n","      <th>20</th>\n","      <td>玻璃保护膜</td>\n","      <td>规格:\\n适用于各种尺寸的手机屏幕。\\n\\n为什么我们热爱它:\\n我们的玻璃保护膜可以有效防...</td>\n","    </tr>\n","    <tr>\n","      <th>21</th>\n","      <td>儿童益智玩具</td>\n","      <td>规格:\\n适合3岁以上的儿童。\\n\\n为什么我们热爱它:\\n我们的儿童益智玩具设计独特，色彩...</td>\n","    </tr>\n","    <tr>\n","      <th>22</th>\n","      <td>迷你书架</td>\n","      <td>规格:\\n尺寸：20'' x 8'' x 24''。\\n\\n为什么我们热爱它:\\n我们的迷你...</td>\n","    </tr>\n","    <tr>\n","      <th>23</th>\n","      <td>防滑瑜伽垫</td>\n","      <td>规格:\\n尺寸：72'' x 24''。\\n\\n为什么我们热爱它:\\n我们的防滑瑜伽垫采用高...</td>\n","    </tr>\n","    <tr>\n","      <th>24</th>\n","      <td>LED台灯</td>\n","      <td>规格:\\n尺寸：6'' x 6'' x 18''。\\n\\n为什么我们热爱它:\\n我们的LED...</td>\n","    </tr>\n","    <tr>\n","      <th>25</th>\n","      <td>水晶酒杯</td>\n","      <td>规格:\\n容量：250ml。\\n\\n为什么我们热爱它:\\n我们的水晶酒杯采用高品质水晶玻璃制...</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["               0                                                  1\n","0   product_name                                        description\n","1         全自动咖啡机  规格:\\n大型 - 尺寸：13.8'' x 17.3''。\\n中型 - 尺寸：11.5'' ...\n","2           电动牙刷  规格:\\n一般大小 - 高度：9.5''，宽度：1''。\\n\\n为什么我们热爱它:\\n我们的...\n","3      橙味维生素C泡腾片  规格:\\n每盒含有20片。\\n\\n为什么我们热爱它:\\n我们的橙味维生素C泡腾片是快速补充维...\n","4         无线蓝牙耳机  规格:\\n单个耳机尺寸：1.5'' x 1.3''。\\n\\n为什么我们热爱它:\\n这款无线蓝...\n","5            瑜伽垫  规格:\\n尺寸：24'' x 68''。\\n\\n为什么我们热爱它:\\n我们的瑜伽垫拥有出色的...\n","6         防水运动手表  规格:\\n表盘直径：40mm。\\n\\n为什么我们热爱它:\\n这款防水运动手表配备了心率监测和...\n","7    书籍:《机器学习基础》  规格:\\n页数：580页。\\n\\n为什么我们热爱它:\\n《机器学习基础》以易懂的语言讲解了机...\n","8          空气净化器  规格:\\n尺寸：15'' x 15'' x 20''。\\n\\n为什么我们热爱它:\\n我们的空...\n","9          陶瓷保温杯  规格:\\n容量：350ml。\\n\\n为什么我们热爱它:\\n我们的陶瓷保温杯设计优雅，保温效果...\n","10       宠物自动喂食器  规格:\\n尺寸：14'' x 9'' x 15''。\\n\\n为什么我们热爱它:\\n我们的宠物...\n","11         高清电视机  规格:\\n尺寸：50''。\\n\\n为什么我们热爱它:\\n我们的高清电视机拥有出色的画质和强大...\n","12          旅行背包  规格:\\n尺寸：18'' x 12'' x 6''。\\n\\n为什么我们热爱它:\\n我们的旅行...\n","13        太阳能庭院灯  规格:\\n高度：18''。\\n\\n为什么我们热爱它:\\n我们的太阳能庭院灯无需电源，只需将其...\n","14        厨房刀具套装  规格:\\n一套包括8把刀。\\n\\n为什么我们热爱它:\\n我们的厨房刀具套装由专业级不锈钢制成...\n","15      迷你无线蓝牙音箱  规格:\\n直径：3''，高度：2''。\\n\\n为什么我们热爱它:\\n我们的迷你无线蓝牙音箱体...\n","16         抗菌洗手液  规格:\\n容量：500ml。\\n\\n为什么我们热爱它:\\n我们的抗菌洗手液含有天然植物精华，...\n","17          纯棉T恤  规格:\\n尺码：S, M, L, XL, XXL。\\n\\n为什么我们热爱它:\\n我们的纯棉T...\n","18         自动咖啡机  规格:\\n尺寸：12'' x 8'' x 14''。\\n\\n为什么我们热爱它:\\n我们的自动...\n","19        摄像头保护套  规格:\\n适用于各种品牌和型号的摄像头。\\n\\n为什么我们热爱它:\\n我们的摄像头保护套可以...\n","20         玻璃保护膜  规格:\\n适用于各种尺寸的手机屏幕。\\n\\n为什么我们热爱它:\\n我们的玻璃保护膜可以有效防...\n","21        儿童益智玩具  规格:\\n适合3岁以上的儿童。\\n\\n为什么我们热爱它:\\n我们的儿童益智玩具设计独特，色彩...\n","22          迷你书架  规格:\\n尺寸：20'' x 8'' x 24''。\\n\\n为什么我们热爱它:\\n我们的迷你...\n","23         防滑瑜伽垫  规格:\\n尺寸：72'' x 24''。\\n\\n为什么我们热爱它:\\n我们的防滑瑜伽垫采用高...\n","24         LED台灯  规格:\\n尺寸：6'' x 6'' x 18''。\\n\\n为什么我们热爱它:\\n我们的LED...\n","25          水晶酒杯  规格:\\n容量：250ml。\\n\\n为什么我们热爱它:\\n我们的水晶酒杯采用高品质水晶玻璃制..."]},"execution_count":21,"metadata":{},"output_type":"execute_result"}],"source":["#查看数据\n","import pandas as pd\n","test_data = pd.read_csv(file,header=None)\n","test_data"]},{"cell_type":"code","execution_count":22,"id":"95890a3b","metadata":{},"outputs":[],"source":["'''\n","将指定向量存储类,创建完成后，我们将从加载器中调用,通过文档记载器列表加载\n","'''\n","index = VectorstoreIndexCreator(\n","    embedding=embeddings,\n","    vectorstore_cls=DocArrayInMemorySearch\n",").from_loaders([loader])"]},{"cell_type":"code","execution_count":23,"id":"f5230594","metadata":{},"outputs":[],"source":["#通过指定语言模型、链类型、检索器和我们要打印的详细程度来创建检索QA链\n","llm = ChatOpenAI(temperature = 0.0)\n","qa = RetrievalQA.from_chain_type(\n","    llm=llm, \n","    chain_type=\"stuff\", \n","    retriever=index.vectorstore.as_retriever(), \n","    verbose=True,\n","    chain_type_kwargs = {\n","        \"document_separator\": \"<<<<>>>>>\"\n","    }\n",")"]},{"cell_type":"markdown","id":"77e98983-3bf8-4a47-86ed-9eff5a52d1fd","metadata":{},"source":["#### 创建评估数据点\n","我们需要做的第一件事是真正弄清楚我们想要评估它的一些数据点，我们将介绍几种不同的方法来完成这个任务\n","\n","1、将自己想出好的数据点作为例子，查看一些数据，然后想出例子问题和答案，以便以后用于评估"]},{"cell_type":"code","execution_count":24,"id":"eae9bd65","metadata":{},"outputs":[{"data":{"text/plain":["Document(page_content=\"product_name: 高清电视机\\ndescription: 规格:\\n尺寸：50''。\\n\\n为什么我们热爱它:\\n我们的高清电视机拥有出色的画质和强大的音效，带来沉浸式的观看体验。\\n\\n材质与护理:\\n使用干布清洁。\\n\\n构造:\\n由塑料、金属和电子元件制成。\\n\\n其他特性:\\n支持网络连接，可以在线观看视频。\\n配备遥控器。\\n在韩国制造。\\n\\n有问题？请随时联系我们的客户服务团队，他们会解答您的所有问题。\", metadata={'source': './data/product_data.csv', 'row': 10})"]},"execution_count":24,"metadata":{},"output_type":"execute_result"}],"source":["data[10]#查看这里的一些文档，我们可以对其中发生的事情有所了解"]},{"cell_type":"code","execution_count":25,"id":"5ef28a34","metadata":{},"outputs":[{"data":{"text/plain":["Document(page_content=\"product_name: 旅行背包\\ndescription: 规格:\\n尺寸：18'' x 12'' x 6''。\\n\\n为什么我们热爱它:\\n我们的旅行背包拥有多个实用的内外袋，轻松装下您的必需品，是短途旅行的理想选择。\\n\\n材质与护理:\\n可以手洗，自然晾干。\\n\\n构造:\\n由防水尼龙制成。\\n\\n其他特性:\\n附带可调节背带和安全锁。\\n在中国制造。\\n\\n有问题？请随时联系我们的客户服务团队，他们会解答您的所有问题。\", metadata={'source': './data/product_data.csv', 'row': 11})"]},"execution_count":25,"metadata":{},"output_type":"execute_result"}],"source":["data[11]"]},{"cell_type":"markdown","id":"c6166702-b575-4fee-b7fa-270fe6cdeb0b","metadata":{},"source":["看上面的第一个文档中有高清电视机，第二个文档中有旅行背包，从这些细节中，我们可以创建一些例子查询和答案"]},{"cell_type":"markdown","id":"0889d24e-fa2d-4c53-baf0-c55ad1c46668","metadata":{},"source":["#### 创建测试用例数据\n"]},{"cell_type":"code","execution_count":26,"id":"8936f72d","metadata":{},"outputs":[],"source":["examples = [\n","    {\n","        \"query\": \"高清电视机怎么进行护理？\",\n","        \"answer\": \"使用干布清洁。\"\n","    },\n","    {\n","        \"query\": \"旅行背包有内外袋吗？\",\n","        \"answer\": \"有。\"\n","    }\n","]"]},{"cell_type":"markdown","id":"0ff2e0fd-15e6-4502-930a-57ffb06c5723","metadata":{},"source":["#### 通过LLM生成测试用例"]},{"cell_type":"code","execution_count":27,"id":"d9c7342c","metadata":{},"outputs":[],"source":["from langchain.evaluation.qa import QAGenerateChain #导入QA生成链，它将接收文档，并从每个文档中创建一个问题答案对"]},{"cell_type":"markdown","id":"f654a5d3-fbc1-427c-b231-d8e93aa10a14","metadata":{},"source":["由于`QAGenerateChain`类中使用的`PROMPT`是英文，故我们继承`QAGenerateChain`类，将`PROMPT`加上“请使用中文输出”。"]},{"cell_type":"markdown","id":"63142d22-04fd-4bf3-b321-8da183c099b3","metadata":{},"source":["下面是`generate_chain.py`文件中的`QAGenerateChain`类的源码"]},{"cell_type":"code","execution_count":28,"id":"0401f602","metadata":{},"outputs":[],"source":["\"\"\"LLM Chain specifically for generating examples for question answering.\"\"\"\n","from __future__ import annotations\n","\n","from typing import Any\n","\n","from langchain.base_language import BaseLanguageModel\n","from langchain.chains.llm import LLMChain\n","from langchain.evaluation.qa.generate_prompt import PROMPT\n","\n","class QAGenerateChain(LLMChain):\n","    \"\"\"LLM Chain specifically for generating examples for question answering.\"\"\"\n","\n","    @classmethod\n","    def from_llm(cls, llm: BaseLanguageModel, **kwargs: Any) -> QAGenerateChain:\n","        \"\"\"Load QA Generate Chain from LLM.\"\"\"\n","        return cls(llm=llm, prompt=PROMPT, **kwargs)"]},{"cell_type":"code","execution_count":29,"id":"9fb1e63e","metadata":{},"outputs":[{"data":{"text/plain":["PromptTemplate(input_variables=['doc'], template='You are a teacher coming up with questions to ask on a quiz. \\nGiven the following document, please generate a question and answer based on that document.\\n\\nExample Format:\\n<Begin Document>\\n...\\n<End Document>\\nQUESTION: question here\\nANSWER: answer here\\n\\nThese questions should be detailed and be based explicitly on information in the document. Begin!\\n\\n<Begin Document>\\n{doc}\\n<End Document>')"]},"execution_count":29,"metadata":{},"output_type":"execute_result"}],"source":["PROMPT"]},{"cell_type":"markdown","id":"be0ac6b7-0bc5-4f10-a160-a98fb69f1953","metadata":{},"source":["我们可以看到`PROMPT`为英文，下面我们将`PROMPT`添加上“请使用中文输出”"]},{"cell_type":"code","execution_count":30,"id":"a33dc3af","metadata":{},"outputs":[{"data":{"text/plain":["PromptTemplate(input_variables=['doc'], output_parser=RegexParser(regex='QUESTION: (.*?)\\\\nANSWER: (.*)', output_keys=['query', 'answer']), template='You are a teacher coming up with questions to ask on a quiz. \\nGiven the following document, please generate a question and answer based on that document.\\n\\nExample Format:\\n<Begin Document>\\n...\\n<End Document>\\nQUESTION: question here\\nANSWER: answer here\\n\\nThese questions should be detailed and be based explicitly on information in the document. Begin!\\n\\n<Begin Document>\\n{doc}\\n<End Document>\\n请使用中文输出。\\n')"]},"execution_count":30,"metadata":{},"output_type":"execute_result"}],"source":["# 下面是langchain.evaluation.qa.generate_prompt中的源码，我们在template的最后加上“请使用中文输出”\n","# flake8: noqa\n","from langchain.output_parsers.regex import RegexParser\n","from langchain.prompts import PromptTemplate\n","\n","template = \"\"\"You are a teacher coming up with questions to ask on a quiz. \n","Given the following document, please generate a question and answer based on that document.\n","\n","Example Format:\n","<Begin Document>\n","...\n","<End Document>\n","QUESTION: question here\n","ANSWER: answer here\n","\n","These questions should be detailed and be based explicitly on information in the document. Begin!\n","\n","<Begin Document>\n","{doc}\n","<End Document>\n","请使用中文输出。\n","\"\"\"\n","output_parser = RegexParser(\n","    regex=r\"QUESTION: (.*?)\\nANSWER: (.*)\", output_keys=[\"query\", \"answer\"]\n",")\n","PROMPT = PromptTemplate(\n","    input_variables=[\"doc\"], template=template, output_parser=output_parser\n",")\n","\n","PROMPT\n"]},{"cell_type":"code","execution_count":31,"id":"82ec0488","metadata":{},"outputs":[],"source":["# 继承QAGenerateChain\n","class MyQAGenerateChain(QAGenerateChain):\n","    \"\"\"LLM Chain specifically for generating examples for question answering.\"\"\"\n","\n","    @classmethod\n","    def from_llm(cls, llm: BaseLanguageModel, **kwargs: Any) -> QAGenerateChain:\n","        \"\"\"Load QA Generate Chain from LLM.\"\"\"\n","        return cls(llm=llm, prompt=PROMPT, **kwargs)"]},{"cell_type":"code","execution_count":32,"id":"8dfc4372","metadata":{},"outputs":[],"source":["example_gen_chain = MyQAGenerateChain.from_llm(ChatOpenAI())#通过传递chat open AI语言模型来创建这个链"]},{"cell_type":"code","execution_count":33,"id":"d25c6a0e","metadata":{},"outputs":[{"data":{"text/plain":["[Document(page_content=\"product_name: 全自动咖啡机\\ndescription: 规格:\\n大型 - 尺寸：13.8'' x 17.3''。\\n中型 - 尺寸：11.5'' x 15.2''。\\n\\n为什么我们热爱它:\\n这款全自动咖啡机是爱好者的理想选择。 一键操作，即可研磨豆子并沏制出您喜爱的咖啡。它的耐用性和一致性使它成为家庭和办公室的理想选择。\\n\\n材质与护理:\\n清洁时只需轻擦。\\n\\n构造:\\n由高品质不锈钢制成。\\n\\n其他特性:\\n内置研磨器和滤网。\\n预设多种咖啡模式。\\n在中国制造。\\n\\n有问题？ 请随时联系我们的客户服务团队，他们会解答您的所有问题。\", metadata={'source': './data/product_data.csv', 'row': 0}),\n"," Document(page_content=\"product_name: 电动牙刷\\ndescription: 规格:\\n一般大小 - 高度：9.5''，宽度：1''。\\n\\n为什么我们热爱它:\\n我们的电动牙刷采用先进的刷头设计和强大的电机，为您提供超凡的清洁力和舒适的刷牙体验。\\n\\n材质与护理:\\n不可水洗，只需用湿布清洁。\\n\\n构造:\\n由食品级塑料和尼龙刷毛制成。\\n\\n其他特性:\\n具有多种清洁模式和定时功能。\\nUSB充电。\\n在日本制造。\\n\\n有问题？请随时联系我们的客户服务团队，他们会解答您的所有问题。\", metadata={'source': './data/product_data.csv', 'row': 1}),\n"," Document(page_content='product_name: 橙味维生素C泡腾片\\ndescription: 规格:\\n每盒含有20片。\\n\\n为什么我们热爱它:\\n我们的橙味维生素C泡腾片是快速补充维生素C的理想方式。每片含有500mg的维生素C，可以帮助提升免疫力，保护您的健康。\\n\\n材质与护理:\\n请存放在阴凉干燥的地方，避免阳光直射。\\n\\n构造:\\n主要成分为维生素C和柠檬酸钠。\\n\\n其他特性:\\n含有天然橙味。\\n易于携带。\\n在美国制造。\\n\\n有问题？请随时联系我们的客户服务团队，他们会解答您的所有问题。', metadata={'source': './data/product_data.csv', 'row': 2}),\n"," Document(page_content=\"product_name: 无线蓝牙耳机\\ndescription: 规格:\\n单个耳机尺寸：1.5'' x 1.3''。\\n\\n为什么我们热爱它:\\n这款无线蓝牙耳机配备了降噪技术和长达8小时的电池续航力，让您无论在哪里都可以享受无障碍的音乐体验。\\n\\n材质与护理:\\n只需用湿布清洁。\\n\\n构造:\\n由耐用的塑料和金属构成，配备有软质耳塞。\\n\\n其他特性:\\n快速充电功能。\\n内置麦克风，支持接听电话。\\n在韩国制造。\\n\\n有问题？请随时联系我们的客户服务团队，他们会解答您的所有问题。\", metadata={'source': './data/product_data.csv', 'row': 3}),\n"," Document(page_content=\"product_name: 瑜伽垫\\ndescription: 规格:\\n尺寸：24'' x 68''。\\n\\n为什么我们热爱它:\\n我们的瑜伽垫拥有出色的抓地力和舒适度，无论是做瑜伽还是健身，都是理想的选择。\\n\\n材质与护理:\\n可用清水清洁，自然晾干。\\n\\n构造:\\n由环保PVC材料制成。\\n\\n其他特性:\\n附带便携包和绑带。\\n在印度制造。\\n\\n有问题？请随时联系我们的客户服务团队，他们会解答您的所有问题。\", metadata={'source': './data/product_data.csv', 'row': 4})]"]},"execution_count":33,"metadata":{},"output_type":"execute_result"}],"source":["data[:5]"]},{"cell_type":"code","execution_count":34,"id":"ef0f5cad","metadata":{},"outputs":[{"name":"stderr","output_type":"stream","text":["/Users/lta/anaconda3/envs/cookbook/lib/python3.10/site-packages/langchain/chains/llm.py:367: UserWarning: The apply_and_parse method is deprecated, instead pass an output parser directly to LLMChain.\n","  warnings.warn(\n"]}],"source":["new_examples = example_gen_chain.apply_and_parse(\n","    [{\"doc\": t} for t in data[:5]]\n",") #我们可以创建许多例子"]},{"cell_type":"code","execution_count":35,"id":"7bc64a85","metadata":{},"outputs":[{"data":{"text/plain":["[{'query': '这款全自动咖啡机的材质是什么？它的构造是什么？',\n","  'answer': '这款全自动咖啡机由高品质不锈钢制成，构造包括内置研磨器和滤网。'},\n"," {'query': '这款电动牙刷的材质是什么？它是由什么制成的？', 'answer': '这款电动牙刷由食品级塑料和尼龙刷毛制成。'},\n"," {'query': '这种产品的主要成分是什么？', 'answer': '主要成分为维生素C和柠檬酸钠。'},\n"," {'query': '这款无线蓝牙耳机具有哪些特性和优势？',\n","  'answer': '这款无线蓝牙耳机配备了降噪技术和长达8小时的电池续航力，让您无论在哪里都可以享受无障碍的音乐体验。它由耐用的塑料和金属构成，配备有软质耳塞。此外，它还具有快速充电功能、内置麦克风以及支持接听电话的功能。'},\n"," {'query': '这款瑜伽垫的尺寸是多少？', 'answer': \"尺寸为24'' x 68''。\"}]"]},"execution_count":35,"metadata":{},"output_type":"execute_result"}],"source":["new_examples #查看用例数据"]},{"cell_type":"code","execution_count":36,"id":"1e6b2fe4","metadata":{},"outputs":[{"data":{"text/plain":["{'query': '这款全自动咖啡机的材质是什么？它的构造是什么？',\n"," 'answer': '这款全自动咖啡机由高品质不锈钢制成，构造包括内置研磨器和滤网。'}"]},"execution_count":36,"metadata":{},"output_type":"execute_result"}],"source":["new_examples[0]"]},{"cell_type":"code","execution_count":37,"id":"7ec72577","metadata":{},"outputs":[{"data":{"text/plain":["Document(page_content=\"product_name: 全自动咖啡机\\ndescription: 规格:\\n大型 - 尺寸：13.8'' x 17.3''。\\n中型 - 尺寸：11.5'' x 15.2''。\\n\\n为什么我们热爱它:\\n这款全自动咖啡机是爱好者的理想选择。 一键操作，即可研磨豆子并沏制出您喜爱的咖啡。它的耐用性和一致性使它成为家庭和办公室的理想选择。\\n\\n材质与护理:\\n清洁时只需轻擦。\\n\\n构造:\\n由高品质不锈钢制成。\\n\\n其他特性:\\n内置研磨器和滤网。\\n预设多种咖啡模式。\\n在中国制造。\\n\\n有问题？ 请随时联系我们的客户服务团队，他们会解答您的所有问题。\", metadata={'source': './data/product_data.csv', 'row': 0})"]},"execution_count":37,"metadata":{},"output_type":"execute_result"}],"source":["data[0]"]},{"cell_type":"markdown","id":"e6cb8f71-4720-4d98-8921-1e25022d5375","metadata":{},"source":["#### 组合用例数据"]},{"cell_type":"code","execution_count":38,"id":"c0636823","metadata":{},"outputs":[],"source":["examples += new_examples"]},{"cell_type":"code","execution_count":39,"id":"8d33b5de","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["\n","\n","\u001b[1m> Entering new RetrievalQA chain...\u001b[0m\n","\n","\u001b[1m> Finished chain.\u001b[0m\n"]},{"data":{"text/plain":["'高清电视机的护理方法是使用干布清洁。所以您可以使用干布轻轻擦拭电视机表面，避免使用湿布或清洁剂来清洁高清电视机。'"]},"execution_count":39,"metadata":{},"output_type":"execute_result"}],"source":["qa.run(examples[0][\"query\"])"]},{"cell_type":"markdown","id":"63f3cb08","metadata":{},"source":["## 三、 人工评估\n","现在有了这些示例，但是我们如何评估正在发生的事情呢？\n","通过运行一个示例通过链，并查看它产生的输出\n","在这里我们传递一个查询，然后我们得到一个答案。实际上正在发生的事情，进入语言模型的实际提示是什么？   \n","它检索的文档是什么？   \n","中间结果是什么？    \n","仅仅查看最终答案通常不足以了解链中出现了什么问题或可能出现了什么问题"]},{"cell_type":"code","execution_count":40,"id":"fcaf622e","metadata":{"height":47},"outputs":[],"source":["''' \n","LingChainDebug工具可以了解运行一个实例通过链中间所经历的步骤\n","'''\n","import langchain\n","langchain.debug = True"]},{"cell_type":"code","execution_count":41,"id":"1e1deab0","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["\u001b[32;1m\u001b[1;3m[chain/start]\u001b[0m \u001b[1m[chain:RetrievalQA] Entering Chain run with input:\n","\u001b[0m{\n","  \"query\": \"高清电视机怎么进行护理？\"\n","}\n","\u001b[32;1m\u001b[1;3m[chain/start]\u001b[0m \u001b[1m[chain:RetrievalQA > chain:StuffDocumentsChain] Entering Chain run with input:\n","\u001b[0m[inputs]\n","\u001b[32;1m\u001b[1;3m[chain/start]\u001b[0m \u001b[1m[chain:RetrievalQA > chain:StuffDocumentsChain > chain:LLMChain] Entering Chain run with input:\n","\u001b[0m{\n","  \"question\": \"高清电视机怎么进行护理？\",\n","  \"context\": \"product_name: 高清电视机\\ndescription: 规格:\\n尺寸：50''。\\n\\n为什么我们热爱它:\\n我们的高清电视机拥有出色的画质和强大的音效，带来沉浸式的观看体验。\\n\\n材质与护理:\\n使用干布清洁。\\n\\n构造:\\n由塑料、金属和电子元件制成。\\n\\n其他特性:\\n支持网络连接，可以在线观看视频。\\n配备遥控器。\\n在韩国制造。\\n\\n有问题？请随时联系我们的客户服务团队，他们会解答您的所有问题。<<<<>>>>>product_name: 摄像头保护套\\ndescription: 规格:\\n适用于各种品牌和型号的摄像头。\\n\\n为什么我们热爱它:\\n我们的摄像头保护套可以有效保护您的摄像头不受灰尘和刮擦的影响。\\n\\n材质与护理:\\n使用湿布擦拭。\\n\\n构造:\\n由耐磨的合成纤维制成。\\n\\n其他特性:\\n设计简洁，易于安装。\\n在中国制造。\\n\\n有问题？请随时联系我们的客户服务团队，他们会解答您的所有问题。<<<<>>>>>product_name: 空气净化器\\ndescription: 规格:\\n尺寸：15'' x 15'' x 20''。\\n\\n为什么我们热爱它:\\n我们的空气净化器采用了先进的HEPA过滤技术，能有效去除空气中的微粒和异味，为您提供清新的室内环境。\\n\\n材质与护理:\\n清洁时使用干布擦拭。\\n\\n构造:\\n由塑料和电子元件制成。\\n\\n其他特性:\\n三档风速，附带定时功能。\\n在德国制造。\\n\\n有问题？请随时联系我们的客户服务团队，他们会解答您的所有问题。<<<<>>>>>product_name: 宠物自动喂食器\\ndescription: 规格:\\n尺寸：14'' x 9'' x 15''。\\n\\n为什么我们热爱它:\\n我们的宠物自动喂食器可以定时定量投放食物，让您无论在家或外出都能确保宠物的饮食。\\n\\n材质与护理:\\n可用湿布清洁。\\n\\n构造:\\n由塑料和电子元件制成。\\n\\n其他特性:\\n配备LCD屏幕，操作简单。\\n可以设置多次投食。\\n在美国制造。\\n\\n有问题？请随时联系我们的客户服务团队，他们会解答您的所有问题。\"\n","}\n","\u001b[32;1m\u001b[1;3m[llm/start]\u001b[0m \u001b[1m[chain:RetrievalQA > chain:StuffDocumentsChain > chain:LLMChain > llm:ChatOpenAI] Entering LLM run with input:\n","\u001b[0m{\n","  \"prompts\": [\n","    \"System: Use the following pieces of context to answer the user's question. \\nIf you don't know the answer, just say that you don't know, don't try to make up an answer.\\n----------------\\nproduct_name: 高清电视机\\ndescription: 规格:\\n尺寸：50''。\\n\\n为什么我们热爱它:\\n我们的高清电视机拥有出色的画质和强大的音效，带来沉浸式的观看体验。\\n\\n材质与护理:\\n使用干布清洁。\\n\\n构造:\\n由塑料、金属和电子元件制成。\\n\\n其他特性:\\n支持网络连接，可以在线观看视频。\\n配备遥控器。\\n在韩国制造。\\n\\n有问题？请随时联系我们的客户服务团队，他们会解答您的所有问题。<<<<>>>>>product_name: 摄像头保护套\\ndescription: 规格:\\n适用于各种品牌和型号的摄像头。\\n\\n为什么我们热爱它:\\n我们的摄像头保护套可以有效保护您的摄像头不受灰尘和刮擦的影响。\\n\\n材质与护理:\\n使用湿布擦拭。\\n\\n构造:\\n由耐磨的合成纤维制成。\\n\\n其他特性:\\n设计简洁，易于安装。\\n在中国制造。\\n\\n有问题？请随时联系我们的客户服务团队，他们会解答您的所有问题。<<<<>>>>>product_name: 空气净化器\\ndescription: 规格:\\n尺寸：15'' x 15'' x 20''。\\n\\n为什么我们热爱它:\\n我们的空气净化器采用了先进的HEPA过滤技术，能有效去除空气中的微粒和异味，为您提供清新的室内环境。\\n\\n材质与护理:\\n清洁时使用干布擦拭。\\n\\n构造:\\n由塑料和电子元件制成。\\n\\n其他特性:\\n三档风速，附带定时功能。\\n在德国制造。\\n\\n有问题？请随时联系我们的客户服务团队，他们会解答您的所有问题。<<<<>>>>>product_name: 宠物自动喂食器\\ndescription: 规格:\\n尺寸：14'' x 9'' x 15''。\\n\\n为什么我们热爱它:\\n我们的宠物自动喂食器可以定时定量投放食物，让您无论在家或外出都能确保宠物的饮食。\\n\\n材质与护理:\\n可用湿布清洁。\\n\\n构造:\\n由塑料和电子元件制成。\\n\\n其他特性:\\n配备LCD屏幕，操作简单。\\n可以设置多次投食。\\n在美国制造。\\n\\n有问题？请随时联系我们的客户服务团队，他们会解答您的所有问题。\\nHuman: 高清电视机怎么进行护理？\"\n","  ]\n","}\n","\u001b[36;1m\u001b[1;3m[llm/end]\u001b[0m \u001b[1m[chain:RetrievalQA > chain:StuffDocumentsChain > chain:LLMChain > llm:ChatOpenAI] [2.23s] Exiting LLM run with output:\n","\u001b[0m{\n","  \"generations\": [\n","    [\n","      {\n","        \"text\": \"高清电视机的护理方法是使用干布清洁。\",\n","        \"generation_info\": {\n","          \"finish_reason\": \"stop\",\n","          \"logprobs\": null\n","        },\n","        \"type\": \"ChatGeneration\",\n","        \"message\": {\n","          \"lc\": 1,\n","          \"type\": \"constructor\",\n","          \"id\": [\n","            \"langchain\",\n","            \"schema\",\n","            \"messages\",\n","            \"AIMessage\"\n","          ],\n","          \"kwargs\": {\n","            \"content\": \"高清电视机的护理方法是使用干布清洁。\",\n","            \"response_metadata\": {\n","              \"token_usage\": {\n","                \"completion_tokens\": 19,\n","                \"prompt_tokens\": 806,\n","                \"total_tokens\": 825\n","              },\n","              \"model_name\": \"gpt-3.5-turbo\",\n","              \"system_fingerprint\": null,\n","              \"finish_reason\": \"stop\",\n","              \"logprobs\": null\n","            },\n","            \"type\": \"ai\",\n","            \"id\": \"run-d773d96f-cd9b-454b-a0f6-72e69dd90218-0\",\n","            \"tool_calls\": [],\n","            \"invalid_tool_calls\": []\n","          }\n","        }\n","      }\n","    ]\n","  ],\n","  \"llm_output\": {\n","    \"token_usage\": {\n","      \"completion_tokens\": 19,\n","      \"prompt_tokens\": 806,\n","      \"total_tokens\": 825\n","    },\n","    \"model_name\": \"gpt-3.5-turbo\",\n","    \"system_fingerprint\": null\n","  },\n","  \"run\": null\n","}\n","\u001b[36;1m\u001b[1;3m[chain/end]\u001b[0m \u001b[1m[chain:RetrievalQA > chain:StuffDocumentsChain > chain:LLMChain] [2.24s] Exiting Chain run with output:\n","\u001b[0m{\n","  \"text\": \"高清电视机的护理方法是使用干布清洁。\"\n","}\n","\u001b[36;1m\u001b[1;3m[chain/end]\u001b[0m \u001b[1m[chain:RetrievalQA > chain:StuffDocumentsChain] [2.24s] Exiting Chain run with output:\n","\u001b[0m{\n","  \"output_text\": \"高清电视机的护理方法是使用干布清洁。\"\n","}\n","\u001b[36;1m\u001b[1;3m[chain/end]\u001b[0m \u001b[1m[chain:RetrievalQA] [3.15s] Exiting Chain run with output:\n","\u001b[0m{\n","  \"result\": \"高清电视机的护理方法是使用干布清洁。\"\n","}\n"]},{"data":{"text/plain":["'高清电视机的护理方法是使用干布清洁。'"]},"execution_count":41,"metadata":{},"output_type":"execute_result"}],"source":["qa.run(examples[0][\"query\"])#重新运行与上面相同的示例，可以看到它开始打印出更多的信息"]},{"cell_type":"markdown","id":"8dee0f24","metadata":{},"source":["我们可以看到它首先深入到检索QA链中，然后它进入了一些文档链。如上所述，我们正在使用stuff方法，现在我们正在传递这个上下文，可以看到，这个上下文是由我们检索到的不同文档创建的。因此，在进行问答时，当返回错误结果时，通常不是语言模型本身出错了，实际上是检索步骤出错了，仔细查看问题的确切内容和上下文可以帮助调试出错的原因。    \n","然后，我们可以再向下一级，看看进入语言模型的确切内容，以及 OpenAI 自身，在这里，我们可以看到传递的完整提示，我们有一个系统消息，有所使用的提示的描述，这是问题回答链使用的提示，我们可以看到提示打印出来，使用以下上下文片段回答用户的问题。\n","如果您不知道答案，只需说您不知道即可，不要试图编造答案。然后我们看到一堆之前插入的上下文，我们还可以看到有关实际返回类型的更多信息。我们不仅仅返回一个答案，还有token的使用情况，可以了解到token数的使用情况\n","\n","\n","由于这是一个相对简单的链，我们现在可以看到最终的响应，舒适的毛衣套装，条纹款，有侧袋，正在起泡，通过链返回给用户，我们刚刚讲解了如何查看和调试单个输入到该链的情况。\n","\n","\n"]},{"cell_type":"markdown","id":"7b37c7bc","metadata":{},"source":["### 3.1 如何评估新创建的实例\n","与创建它们类似，可以运行链条来处理所有示例，然后查看输出并尝试弄清楚，发生了什么，它是否正确"]},{"cell_type":"code","execution_count":42,"id":"b3d6bef0","metadata":{"height":47},"outputs":[],"source":["# 我们需要为所有示例创建预测，关闭调试模式，以便不将所有内容打印到屏幕上\n","langchain.debug = False"]},{"cell_type":"markdown","id":"46af7edb-72ef-4858-9dcc-e6ba5769ca15","metadata":{},"source":["### 3.2 中文版\n","现在有了这些示例，但是我们如何评估正在发生的事情呢？\n","通过运行一个示例通过链，并查看它产生的输出\n","在这里我们传递一个查询，然后我们得到一个答案。实际上正在发生的事情，进入语言模型的实际提示是什么？   \n","它检索的文档是什么？   \n","中间结果是什么？    \n","仅仅查看最终答案通常不足以了解链中出现了什么问题或可能出现了什么问题"]},{"cell_type":"code","execution_count":43,"id":"45f60c6e","metadata":{},"outputs":[],"source":["''' \n","LingChainDebug工具可以了解运行一个实例通过链中间所经历的步骤\n","'''\n","import langchain\n","langchain.debug = True"]},{"cell_type":"code","execution_count":44,"id":"3f216f9a","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["\u001b[32;1m\u001b[1;3m[chain/start]\u001b[0m \u001b[1m[chain:RetrievalQA] Entering Chain run with input:\n","\u001b[0m{\n","  \"query\": \"高清电视机怎么进行护理？\"\n","}\n","\u001b[32;1m\u001b[1;3m[chain/start]\u001b[0m \u001b[1m[chain:RetrievalQA > chain:StuffDocumentsChain] Entering Chain run with input:\n","\u001b[0m[inputs]\n","\u001b[32;1m\u001b[1;3m[chain/start]\u001b[0m \u001b[1m[chain:RetrievalQA > chain:StuffDocumentsChain > chain:LLMChain] Entering Chain run with input:\n","\u001b[0m{\n","  \"question\": \"高清电视机怎么进行护理？\",\n","  \"context\": \"product_name: 高清电视机\\ndescription: 规格:\\n尺寸：50''。\\n\\n为什么我们热爱它:\\n我们的高清电视机拥有出色的画质和强大的音效，带来沉浸式的观看体验。\\n\\n材质与护理:\\n使用干布清洁。\\n\\n构造:\\n由塑料、金属和电子元件制成。\\n\\n其他特性:\\n支持网络连接，可以在线观看视频。\\n配备遥控器。\\n在韩国制造。\\n\\n有问题？请随时联系我们的客户服务团队，他们会解答您的所有问题。<<<<>>>>>product_name: 摄像头保护套\\ndescription: 规格:\\n适用于各种品牌和型号的摄像头。\\n\\n为什么我们热爱它:\\n我们的摄像头保护套可以有效保护您的摄像头不受灰尘和刮擦的影响。\\n\\n材质与护理:\\n使用湿布擦拭。\\n\\n构造:\\n由耐磨的合成纤维制成。\\n\\n其他特性:\\n设计简洁，易于安装。\\n在中国制造。\\n\\n有问题？请随时联系我们的客户服务团队，他们会解答您的所有问题。<<<<>>>>>product_name: 空气净化器\\ndescription: 规格:\\n尺寸：15'' x 15'' x 20''。\\n\\n为什么我们热爱它:\\n我们的空气净化器采用了先进的HEPA过滤技术，能有效去除空气中的微粒和异味，为您提供清新的室内环境。\\n\\n材质与护理:\\n清洁时使用干布擦拭。\\n\\n构造:\\n由塑料和电子元件制成。\\n\\n其他特性:\\n三档风速，附带定时功能。\\n在德国制造。\\n\\n有问题？请随时联系我们的客户服务团队，他们会解答您的所有问题。<<<<>>>>>product_name: 宠物自动喂食器\\ndescription: 规格:\\n尺寸：14'' x 9'' x 15''。\\n\\n为什么我们热爱它:\\n我们的宠物自动喂食器可以定时定量投放食物，让您无论在家或外出都能确保宠物的饮食。\\n\\n材质与护理:\\n可用湿布清洁。\\n\\n构造:\\n由塑料和电子元件制成。\\n\\n其他特性:\\n配备LCD屏幕，操作简单。\\n可以设置多次投食。\\n在美国制造。\\n\\n有问题？请随时联系我们的客户服务团队，他们会解答您的所有问题。\"\n","}\n","\u001b[32;1m\u001b[1;3m[llm/start]\u001b[0m \u001b[1m[chain:RetrievalQA > chain:StuffDocumentsChain > chain:LLMChain > llm:ChatOpenAI] Entering LLM run with input:\n","\u001b[0m{\n","  \"prompts\": [\n","    \"System: Use the following pieces of context to answer the user's question. \\nIf you don't know the answer, just say that you don't know, don't try to make up an answer.\\n----------------\\nproduct_name: 高清电视机\\ndescription: 规格:\\n尺寸：50''。\\n\\n为什么我们热爱它:\\n我们的高清电视机拥有出色的画质和强大的音效，带来沉浸式的观看体验。\\n\\n材质与护理:\\n使用干布清洁。\\n\\n构造:\\n由塑料、金属和电子元件制成。\\n\\n其他特性:\\n支持网络连接，可以在线观看视频。\\n配备遥控器。\\n在韩国制造。\\n\\n有问题？请随时联系我们的客户服务团队，他们会解答您的所有问题。<<<<>>>>>product_name: 摄像头保护套\\ndescription: 规格:\\n适用于各种品牌和型号的摄像头。\\n\\n为什么我们热爱它:\\n我们的摄像头保护套可以有效保护您的摄像头不受灰尘和刮擦的影响。\\n\\n材质与护理:\\n使用湿布擦拭。\\n\\n构造:\\n由耐磨的合成纤维制成。\\n\\n其他特性:\\n设计简洁，易于安装。\\n在中国制造。\\n\\n有问题？请随时联系我们的客户服务团队，他们会解答您的所有问题。<<<<>>>>>product_name: 空气净化器\\ndescription: 规格:\\n尺寸：15'' x 15'' x 20''。\\n\\n为什么我们热爱它:\\n我们的空气净化器采用了先进的HEPA过滤技术，能有效去除空气中的微粒和异味，为您提供清新的室内环境。\\n\\n材质与护理:\\n清洁时使用干布擦拭。\\n\\n构造:\\n由塑料和电子元件制成。\\n\\n其他特性:\\n三档风速，附带定时功能。\\n在德国制造。\\n\\n有问题？请随时联系我们的客户服务团队，他们会解答您的所有问题。<<<<>>>>>product_name: 宠物自动喂食器\\ndescription: 规格:\\n尺寸：14'' x 9'' x 15''。\\n\\n为什么我们热爱它:\\n我们的宠物自动喂食器可以定时定量投放食物，让您无论在家或外出都能确保宠物的饮食。\\n\\n材质与护理:\\n可用湿布清洁。\\n\\n构造:\\n由塑料和电子元件制成。\\n\\n其他特性:\\n配备LCD屏幕，操作简单。\\n可以设置多次投食。\\n在美国制造。\\n\\n有问题？请随时联系我们的客户服务团队，他们会解答您的所有问题。\\nHuman: 高清电视机怎么进行护理？\"\n","  ]\n","}\n","\u001b[36;1m\u001b[1;3m[llm/end]\u001b[0m \u001b[1m[chain:RetrievalQA > chain:StuffDocumentsChain > chain:LLMChain > llm:ChatOpenAI] [1.98s] Exiting LLM run with output:\n","\u001b[0m{\n","  \"generations\": [\n","    [\n","      {\n","        \"text\": \"高清电视机的护理方法是使用干布清洁。所以您可以使用干布轻轻擦拭电视机表面，避免使用湿布或清洁剂来清洁高清电视机。\",\n","        \"generation_info\": {\n","          \"finish_reason\": \"stop\",\n","          \"logprobs\": null\n","        },\n","        \"type\": \"ChatGeneration\",\n","        \"message\": {\n","          \"lc\": 1,\n","          \"type\": \"constructor\",\n","          \"id\": [\n","            \"langchain\",\n","            \"schema\",\n","            \"messages\",\n","            \"AIMessage\"\n","          ],\n","          \"kwargs\": {\n","            \"content\": \"高清电视机的护理方法是使用干布清洁。所以您可以使用干布轻轻擦拭电视机表面，避免使用湿布或清洁剂来清洁高清电视机。\",\n","            \"response_metadata\": {\n","              \"token_usage\": {\n","                \"completion_tokens\": 66,\n","                \"prompt_tokens\": 806,\n","                \"total_tokens\": 872\n","              },\n","              \"model_name\": \"gpt-3.5-turbo\",\n","              \"system_fingerprint\": null,\n","              \"finish_reason\": \"stop\",\n","              \"logprobs\": null\n","            },\n","            \"type\": \"ai\",\n","            \"id\": \"run-828d71a4-f96b-4c12-a3f3-a663ff915249-0\",\n","            \"tool_calls\": [],\n","            \"invalid_tool_calls\": []\n","          }\n","        }\n","      }\n","    ]\n","  ],\n","  \"llm_output\": {\n","    \"token_usage\": {\n","      \"completion_tokens\": 66,\n","      \"prompt_tokens\": 806,\n","      \"total_tokens\": 872\n","    },\n","    \"model_name\": \"gpt-3.5-turbo\",\n","    \"system_fingerprint\": null\n","  },\n","  \"run\": null\n","}\n","\u001b[36;1m\u001b[1;3m[chain/end]\u001b[0m \u001b[1m[chain:RetrievalQA > chain:StuffDocumentsChain > chain:LLMChain] [1.99s] Exiting Chain run with output:\n","\u001b[0m{\n","  \"text\": \"高清电视机的护理方法是使用干布清洁。所以您可以使用干布轻轻擦拭电视机表面，避免使用湿布或清洁剂来清洁高清电视机。\"\n","}\n","\u001b[36;1m\u001b[1;3m[chain/end]\u001b[0m \u001b[1m[chain:RetrievalQA > chain:StuffDocumentsChain] [1.99s] Exiting Chain run with output:\n","\u001b[0m{\n","  \"output_text\": \"高清电视机的护理方法是使用干布清洁。所以您可以使用干布轻轻擦拭电视机表面，避免使用湿布或清洁剂来清洁高清电视机。\"\n","}\n","\u001b[36;1m\u001b[1;3m[chain/end]\u001b[0m \u001b[1m[chain:RetrievalQA] [2.36s] Exiting Chain run with output:\n","\u001b[0m{\n","  \"result\": \"高清电视机的护理方法是使用干布清洁。所以您可以使用干布轻轻擦拭电视机表面，避免使用湿布或清洁剂来清洁高清电视机。\"\n","}\n"]},{"data":{"text/plain":["'高清电视机的护理方法是使用干布清洁。所以您可以使用干布轻轻擦拭电视机表面，避免使用湿布或清洁剂来清洁高清电视机。'"]},"execution_count":44,"metadata":{},"output_type":"execute_result"}],"source":["qa.run(examples[0][\"query\"])#重新运行与上面相同的示例，可以看到它开始打印出更多的信息"]},{"cell_type":"markdown","id":"c645e0d7-a3bb-4a81-a3ec-eb76e6a2e94d","metadata":{},"source":["我们可以看到它首先深入到检索QA链中，然后它进入了一些文档链。如上所述，我们正在使用stuff方法，现在我们正在传递这个上下文，可以看到，这个上下文是由我们检索到的不同文档创建的。因此，在进行问答时，当返回错误结果时，通常不是语言模型本身出错了，实际上是检索步骤出错了，仔细查看问题的确切内容和上下文可以帮助调试出错的原因。    \n","然后，我们可以再向下一级，看看进入语言模型的确切内容，以及 OpenAI 自身，在这里，我们可以看到传递的完整提示，我们有一个系统消息，有所使用的提示的描述，这是问题回答链使用的提示，我们可以看到提示打印出来，使用以下上下文片段回答用户的问题。\n","如果您不知道答案，只需说您不知道即可，不要试图编造答案。然后我们看到一堆之前插入的上下文，我们还可以看到有关实际返回类型的更多信息。我们不仅仅返回一个答案，还有token的使用情况，可以了解到token数的使用情况\n","\n","\n","由于这是一个相对简单的链，我们现在可以看到最终的响应，舒适的毛衣套装，条纹款，有侧袋，正在起泡，通过链返回给用户，我们刚刚讲解了如何查看和调试单个输入到该链的情况。\n","\n","\n"]},{"cell_type":"markdown","id":"f78dc503-f283-4bb0-8c70-3eef992401b9","metadata":{},"source":["#### 如何评估新创建的实例\n","与创建它们类似，可以运行链条来处理所有示例，然后查看输出并尝试弄清楚，发生了什么，它是否正确"]},{"cell_type":"code","execution_count":45,"id":"a32fbb61","metadata":{},"outputs":[],"source":["# 我们需要为所有示例创建预测，关闭调试模式，以便不将所有内容打印到屏幕上\n","langchain.debug = False"]},{"cell_type":"markdown","id":"d5bdbdce","metadata":{},"source":["## 四、 通过LLM进行评估实例"]},{"cell_type":"code","execution_count":46,"id":"a4dca05a","metadata":{"height":30},"outputs":[{"name":"stdout","output_type":"stream","text":["\n","\n","\u001b[1m> Entering new RetrievalQA chain...\u001b[0m\n"]},{"name":"stderr","output_type":"stream","text":["/Users/lta/anaconda3/envs/cookbook/lib/python3.10/site-packages/langchain_core/_api/deprecation.py:119: LangChainDeprecationWarning: The method `Chain.apply` was deprecated in langchain 0.1.0 and will be removed in 0.3.0. Use batch instead.\n","  warn_deprecated(\n"]},{"name":"stdout","output_type":"stream","text":["\n","\u001b[1m> Finished chain.\u001b[0m\n","\n","\n","\u001b[1m> Entering new RetrievalQA chain...\u001b[0m\n","\n","\u001b[1m> Finished chain.\u001b[0m\n","\n","\n","\u001b[1m> Entering new RetrievalQA chain...\u001b[0m\n","\n","\u001b[1m> Finished chain.\u001b[0m\n","\n","\n","\u001b[1m> Entering new RetrievalQA chain...\u001b[0m\n","\n","\u001b[1m> Finished chain.\u001b[0m\n","\n","\n","\u001b[1m> Entering new RetrievalQA chain...\u001b[0m\n","\n","\u001b[1m> Finished chain.\u001b[0m\n","\n","\n","\u001b[1m> Entering new RetrievalQA chain...\u001b[0m\n","\n","\u001b[1m> Finished chain.\u001b[0m\n","\n","\n","\u001b[1m> Entering new RetrievalQA chain...\u001b[0m\n","\n","\u001b[1m> Finished chain.\u001b[0m\n"]}],"source":["predictions = qa.apply(examples) #为所有不同的示例创建预测"]},{"cell_type":"code","execution_count":47,"id":"6012a3e0","metadata":{"height":30},"outputs":[],"source":["''' \n","对预测的结果进行评估，导入QA问题回答，评估链，通过语言模型创建此链\n","'''\n","from langchain.evaluation.qa import QAEvalChain #导入QA问题回答，评估链"]},{"cell_type":"code","execution_count":48,"id":"724b1c0b","metadata":{"height":47},"outputs":[],"source":["#通过调用chatGPT进行评估\n","llm = ChatOpenAI(temperature=0)\n","eval_chain = QAEvalChain.from_llm(llm)"]},{"cell_type":"code","execution_count":49,"id":"8b46ae55","metadata":{"height":30},"outputs":[],"source":["graded_outputs = eval_chain.evaluate(examples, predictions)#在此链上调用evaluate，进行评估"]},{"cell_type":"markdown","id":"9ad64f72","metadata":{},"source":["### 4.1  评估思路\n","当它面前有整个文档时，它可以生成一个真实的答案，我们将打印出预测的答，当它进行QA链时，使用embedding和向量数据库进行检索时，将其传递到语言模型中，然后尝试猜测预测的答案，我们还将打印出成绩，这也是语言模型生成的。当它要求评估链评估正在发生的事情时，以及它是否正确或不正确。因此，当我们循环遍历所有这些示例并将它们打印出来时，可以详细了解每个示例"]},{"cell_type":"code","execution_count":54,"id":"3437cfbe","metadata":{"height":132},"outputs":[{"name":"stdout","output_type":"stream","text":["例 0:\n","问题: 高清电视机怎么进行护理？\n","真实答案: 使用干布清洁。\n","预测答案: 高清电视机的护理方法是使用干布清洁。您可以使用干布轻轻擦拭电视机表面，避免使用湿布或清洁剂直接清洁，以免损坏电视机。\n","预测成绩: CORRECT\n","\n","例 1:\n","问题: 旅行背包有内外袋吗？\n","真实答案: 有。\n","预测答案: 是的，旅行背包有多个实用的内外袋，可以轻松装下您的必需品，是短途旅行的理想选择。\n","预测成绩: CORRECT\n","\n","例 2:\n","问题: 这款全自动咖啡机的材质是什么？它的构造是什么？\n","真实答案: 这款全自动咖啡机由高品质不锈钢制成，构造包括内置研磨器和滤网。\n","预测答案: 这款全自动咖啡机的材质是高品质不锈钢制成的。它的构造包括内置研磨器和滤网。\n","预测成绩: CORRECT\n","\n","例 3:\n","问题: 这款电动牙刷的材质是什么？它是由什么制成的？\n","真实答案: 这款电动牙刷由食品级塑料和尼龙刷毛制成。\n","预测答案: 这款电动牙刷的材质是食品级塑料和尼龙刷毛制成的。\n","预测成绩: CORRECT\n","\n","例 4:\n","问题: 这种产品的主要成分是什么？\n","真实答案: 主要成分为维生素C和柠檬酸钠。\n","预测答案: 橙味维生素C泡腾片的主要成分是维生素C和柠檬酸钠。\n","预测成绩: CORRECT\n","\n","例 5:\n","问题: 这款无线蓝牙耳机具有哪些特性和优势？\n","真实答案: 这款无线蓝牙耳机配备了降噪技术和长达8小时的电池续航力，让您无论在哪里都可以享受无障碍的音乐体验。它由耐用的塑料和金属构成，配备有软质耳塞。此外，它还具有快速充电功能、内置麦克风以及支持接听电话的功能。\n","预测答案: 这款无线蓝牙耳机具有以下特性和优势：\n","1. 配备降噪技术，提供无障碍的音乐体验。\n","2. 长达8小时的电池续航力，让您可以长时间享受音乐。\n","3. 快速充电功能，方便快速充电。\n","4. 内置麦克风，支持接听电话。\n","5. 由耐用的塑料和金属构成，配备软质耳塞，提供舒适的佩戴体验。\n","6. 适合日常使用，制造于韩国。\n","预测成绩: CORRECT\n","\n","例 6:\n","问题: 这款瑜伽垫的尺寸是多少？\n","真实答案: 尺寸为24'' x 68''。\n","预测答案: 这款瑜伽垫的尺寸是 24'' x 68''。\n","预测成绩: CORRECT\n","\n"]}],"source":["#我们将传入示例和预测，得到一堆分级输出，循环遍历它们打印答案\n","for i, eg in enumerate(examples):\n","    print(f\"例 {i}:\")\n","    print(\"问题: \" + predictions[i]['query'])\n","    print(\"真实答案: \" + predictions[i]['answer'])\n","    print(\"预测答案: \" + predictions[i]['result'])\n","    print(\"预测成绩: \" + graded_outputs[i]['results'])\n","    print()"]},{"cell_type":"markdown","id":"87ecb476","metadata":{},"source":["### 4.2 结果分析\n","对于每个示例，它看起来都是正确的，让我们看看第一个例子。\n","这里的问题是，舒适的套头衫套装，有侧口袋吗？真正的答案，我们创建了这个，是肯定的。模型预测的答案是舒适的套头衫套装条纹，确实有侧口袋。因此，我们可以理解这是一个正确的答案。它将其评为正确。    \n","#### 使用模型评估的优势\n","\n","你有这些答案，它们是任意的字符串。没有单一的真实字符串是最好的可能答案，有许多不同的变体，只要它们具有相同的语义，它们应该被评为相似。如果使用正则进行精准匹配就会丢失语义信息，到目前为止存在的许多评估指标都不够好。目前最有趣和最受欢迎的之一就是使用语言模型进行评估。"]},{"cell_type":"markdown","id":"dd57860a","metadata":{},"source":["### 3.3 通过LLM进行评估实例"]},{"cell_type":"code","execution_count":55,"id":"40d908c9","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["\n","\n","\u001b[1m> Entering new RetrievalQA chain...\u001b[0m\n","\n","\u001b[1m> Finished chain.\u001b[0m\n","\n","\n","\u001b[1m> Entering new RetrievalQA chain...\u001b[0m\n","\n","\u001b[1m> Finished chain.\u001b[0m\n","\n","\n","\u001b[1m> Entering new RetrievalQA chain...\u001b[0m\n","\n","\u001b[1m> Finished chain.\u001b[0m\n","\n","\n","\u001b[1m> Entering new RetrievalQA chain...\u001b[0m\n","\n","\u001b[1m> Finished chain.\u001b[0m\n","\n","\n","\u001b[1m> Entering new RetrievalQA chain...\u001b[0m\n","\n","\u001b[1m> Finished chain.\u001b[0m\n","\n","\n","\u001b[1m> Entering new RetrievalQA chain...\u001b[0m\n","\n","\u001b[1m> Finished chain.\u001b[0m\n","\n","\n","\u001b[1m> Entering new RetrievalQA chain...\u001b[0m\n","\n","\u001b[1m> Finished chain.\u001b[0m\n"]}],"source":["predictions = qa.apply(examples) #为所有不同的示例创建预测"]},{"cell_type":"code","execution_count":56,"id":"c71d3d2f","metadata":{},"outputs":[],"source":["''' \n","对预测的结果进行评估，导入QA问题回答，评估链，通过语言模型创建此链\n","'''\n","from langchain.evaluation.qa import QAEvalChain #导入QA问题回答，评估链"]},{"cell_type":"code","execution_count":57,"id":"ac1c848f","metadata":{},"outputs":[],"source":["#通过调用chatGPT进行评估\n","llm = ChatOpenAI(temperature=0)\n","eval_chain = QAEvalChain.from_llm(llm)"]},{"cell_type":"code","execution_count":58,"id":"50c1250a","metadata":{},"outputs":[],"source":["graded_outputs = eval_chain.evaluate(examples, predictions)#在此链上调用evaluate，进行评估"]},{"cell_type":"markdown","id":"72dc8595","metadata":{},"source":["#### 评估思路\n","当它面前有整个文档时，它可以生成一个真实的答案，我们将打印出预测的答，当它进行QA链时，使用embedding和向量数据库进行检索时，将其传递到语言模型中，然后尝试猜测预测的答案，我们还将打印出成绩，这也是语言模型生成的。当它要求评估链评估正在发生的事情时，以及它是否正确或不正确。因此，当我们循环遍历所有这些示例并将它们打印出来时，可以详细了解每个示例"]},{"cell_type":"code","execution_count":60,"id":"bf21e40a","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["Example 0:\n","Question: 高清电视机怎么进行护理？\n","Real Answer: 使用干布清洁。\n","Predicted Answer: 高清电视机的护理方法是使用干布清洁。所以您可以使用干布轻轻擦拭电视机表面，避免使用湿布或化学清洁剂，以免损坏电视机。\n","Predicted Grade: CORRECT\n","\n","Example 1:\n","Question: 旅行背包有内外袋吗？\n","Real Answer: 有。\n","Predicted Answer: 是的，旅行背包有多个实用的内外袋，可以轻松装下您的必需品，是短途旅行的理想选择。\n","Predicted Grade: CORRECT\n","\n","Example 2:\n","Question: 这款全自动咖啡机的材质是什么？它的构造是什么？\n","Real Answer: 这款全自动咖啡机由高品质不锈钢制成，构造包括内置研磨器和滤网。\n","Predicted Answer: 这款全自动咖啡机的材质是高品质不锈钢制成的，构造包括内置研磨器和滤网。\n","Predicted Grade: CORRECT\n","\n","Example 3:\n","Question: 这款电动牙刷的材质是什么？它是由什么制成的？\n","Real Answer: 这款电动牙刷由食品级塑料和尼龙刷毛制成。\n","Predicted Answer: 这款电动牙刷由食品级塑料和尼龙刷毛制成。\n","Predicted Grade: CORRECT\n","\n","Example 4:\n","Question: 这种产品的主要成分是什么？\n","Real Answer: 主要成分为维生素C和柠檬酸钠。\n","Predicted Answer: 橙味维生素C泡腾片的主要成分是维生素C和柠檬酸钠。\n","Predicted Grade: CORRECT\n","\n","Example 5:\n","Question: 这款无线蓝牙耳机具有哪些特性和优势？\n","Real Answer: 这款无线蓝牙耳机配备了降噪技术和长达8小时的电池续航力，让您无论在哪里都可以享受无障碍的音乐体验。它由耐用的塑料和金属构成，配备有软质耳塞。此外，它还具有快速充电功能、内置麦克风以及支持接听电话的功能。\n","Predicted Answer: 这款无线蓝牙耳机具有以下特性和优势：\n","1. 配备降噪技术，提供更清晰的音质和音乐体验。\n","2. 长达8小时的电池续航力，让您可以持续享受音乐，无需频繁充电。\n","3. 快速充电功能，方便快速充电。\n","4. 内置麦克风，支持接听电话，增加了使用的便利性。\n","5. 由耐用的塑料和金属构成，配备软质耳塞，提供舒适的佩戴体验。\n","6. 只需用湿布清洁，方便日常护理。\n","7. 在韩国制造，品质有保证。\n","Predicted Grade: CORRECT\n","\n","Example 6:\n","Question: 这款瑜伽垫的尺寸是多少？\n","Real Answer: 尺寸为24'' x 68''。\n","Predicted Answer: 这款瑜伽垫的尺寸是 24'' x 68''。\n","Predicted Grade: CORRECT\n","\n"]}],"source":["#我们将传入示例和预测，得到一堆分级输出，循环遍历它们打印答案\n","for i, eg in enumerate(examples):\n","    print(f\"Example {i}:\")\n","    print(\"Question: \" + predictions[i]['query'])\n","    print(\"Real Answer: \" + predictions[i]['answer'])\n","    print(\"Predicted Answer: \" + predictions[i]['result'])\n","    print(\"Predicted Grade: \" + graded_outputs[i]['results'])\n","    print()"]},{"cell_type":"markdown","id":"ece7c7b4","metadata":{},"source":["#### 结果分析\n","对于每个示例，它看起来都是正确的，让我们看看第一个例子。\n","这里的问题是，旅行背包有内外袋吗？真正的答案，我们创建了这个，是肯定的。模型预测的答案是是的，旅行背包有多个实用的内外袋，可以轻松装下您的必需品。因此，我们可以理解这是一个正确的答案。它将其评为正确。    \n","#### 使用模型评估的优势\n","\n","你有这些答案，它们是任意的字符串。没有单一的真实字符串是最好的可能答案，有许多不同的变体，只要它们具有相同的语义，它们应该被评为相似。如果使用正则进行精准匹配就会丢失语义信息，到目前为止存在的许多评估指标都不够好。目前最有趣和最受欢迎的之一就是使用语言模型进行评估。"]}],"metadata":{"kernelspec":{"display_name":"Python 3 (ipykernel)","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.10.14"},"toc":{"base_numbering":1,"nav_menu":{},"number_sections":false,"sideBar":true,"skip_h1_title":false,"title_cell":"Table of Contents","title_sidebar":"Contents","toc_cell":false,"toc_position":{"height":"calc(100% - 180px)","left":"10px","top":"150px","width":"261.818px"},"toc_section_display":true,"toc_window_display":true}},"nbformat":4,"nbformat_minor":5}
+{"cells": [{"cell_type": "markdown", "id": "52824b89-532a-4e54-87e9-1410813cd39e", "metadata": {}, "source": ["# \u7b2c\u516d\u7ae0 \u8bc4\u4f30\n", "\n", " - [\u4e00\u3001\u8bbe\u7f6eOpenAI API Key](#\u4e00\u3001\u8bbe\u7f6eOpenAI-API-Key)\n", " - [\u4e8c\u3001 \u521b\u5efaLLM\u5e94\u7528](#\u4e8c\u3001-\u521b\u5efaLLM\u5e94\u7528)\n", "     - [2.1 \u521b\u5efa\u8bc4\u4f30\u6570\u636e\u70b9](#2.1-\u521b\u5efa\u8bc4\u4f30\u6570\u636e\u70b9)\n", "     - [2.2 \u521b\u5efa\u6d4b\u8bd5\u7528\u4f8b\u6570\u636e](#2.2-\u521b\u5efa\u6d4b\u8bd5\u7528\u4f8b\u6570\u636e)\n", "     - [2.3 \u901a\u8fc7LLM\u751f\u6210\u6d4b\u8bd5\u7528\u4f8b](#2.3-\u901a\u8fc7LLM\u751f\u6210\u6d4b\u8bd5\u7528\u4f8b)\n", "     - [2.4 \u7ec4\u5408\u7528\u4f8b\u6570\u636e](#2.4-\u7ec4\u5408\u7528\u4f8b\u6570\u636e)\n", " - [\u4e09\u3001 \u4eba\u5de5\u8bc4\u4f30](#\u4e09\u3001-\u4eba\u5de5\u8bc4\u4f30)\n", "     - [3.1 \u5982\u4f55\u8bc4\u4f30\u65b0\u521b\u5efa\u7684\u5b9e\u4f8b](#3.1-\u5982\u4f55\u8bc4\u4f30\u65b0\u521b\u5efa\u7684\u5b9e\u4f8b)\n", "     - [3.2 \u4e2d\u6587\u7248](#3.2-\u4e2d\u6587\u7248)\n", " - [\u56db\u3001 \u901a\u8fc7LLM\u8fdb\u884c\u8bc4\u4f30\u5b9e\u4f8b](#\u56db\u3001-\u901a\u8fc7LLM\u8fdb\u884c\u8bc4\u4f30\u5b9e\u4f8b)\n", "     - [4.1  \u8bc4\u4f30\u601d\u8def](#4.1--\u8bc4\u4f30\u601d\u8def)\n", "     - [4.2 \u7ed3\u679c\u5206\u6790](#4.2-\u7ed3\u679c\u5206\u6790)\n", "     - [3.3 \u901a\u8fc7LLM\u8fdb\u884c\u8bc4\u4f30\u5b9e\u4f8b](#3.3-\u901a\u8fc7LLM\u8fdb\u884c\u8bc4\u4f30\u5b9e\u4f8b)\n"]}, {"cell_type": "markdown", "id": "75dfe281-7c7a-43f7-9f8c-3de3a0139baa", "metadata": {"tags": []}, "source": ["## \u4e00\u3001\u8bbe\u7f6eOpenAI API Key\n", "\n", "\u767b\u9646 [OpenAI \u8d26\u6237](https://platform.openai.com/account/api-keys) \u83b7\u53d6API Key\uff0c\u7136\u540e\u5c06\u5176\u8bbe\u7f6e\u4e3a\u73af\u5883\u53d8\u91cf\u3002\n", "\n", "- \u5982\u679c\u4f60\u60f3\u8981\u8bbe\u7f6e\u4e3a\u5168\u5c40\u73af\u5883\u53d8\u91cf\uff0c\u53ef\u4ee5\u53c2\u8003[\u77e5\u4e4e\u6587\u7ae0](https://zhuanlan.zhihu.com/p/627665725)\u3002\n", "- \u5982\u679c\u4f60\u60f3\u8981\u8bbe\u7f6e\u4e3a\u672c\u5730/\u9879\u76ee\u73af\u5883\u53d8\u91cf\uff0c\u5728\u672c\u6587\u4ef6\u76ee\u5f55\u4e0b\u521b\u5efa`.env`\u6587\u4ef6, \u6253\u5f00\u6587\u4ef6\u8f93\u5165\u4ee5\u4e0b\u5185\u5bb9\u3002\n", "\n", "    <p style=\"font-family:verdana; font-size:12px;color:green\">\n", "    OPENAI_API_KEY=\"your_api_key\" \n", "    </p>\n", "  \n", "  \u66ff\u6362\"your_api_key\"\u4e3a\u4f60\u81ea\u5df1\u7684 API Key"]}, {"cell_type": "code", "execution_count": 1, "id": "a8aa66fb-a33b-438f-81f5-0c6ff08035ad", "metadata": {}, "outputs": [], "source": ["# \u4e0b\u8f7d\u9700\u8981\u7684\u5305python-dotenv\u548copenai\n", "# \u5982\u679c\u4f60\u9700\u8981\u67e5\u770b\u5b89\u88c5\u8fc7\u7a0b\u65e5\u5fd7\uff0c\u53ef\u5220\u9664 -q \n", "!pip install -q python-dotenv\n", "!pip install -q openai"]}, {"cell_type": "code", "execution_count": 2, "id": "15a8c608-71bf-4a44-835f-0ff36cbc4533", "metadata": {"tags": []}, "outputs": [], "source": ["import os\n", "import openai\n", "from dotenv import load_dotenv, find_dotenv\n", "\n", "# \u8bfb\u53d6\u672c\u5730/\u9879\u76ee\u7684\u73af\u5883\u53d8\u91cf\u3002\n", "\n", "# find_dotenv()\u5bfb\u627e\u5e76\u5b9a\u4f4d.env\u6587\u4ef6\u7684\u8def\u5f84\n", "# load_dotenv()\u8bfb\u53d6\u8be5.env\u6587\u4ef6\uff0c\u5e76\u5c06\u5176\u4e2d\u7684\u73af\u5883\u53d8\u91cf\u52a0\u8f7d\u5230\u5f53\u524d\u7684\u8fd0\u884c\u73af\u5883\u4e2d  \n", "# \u5982\u679c\u4f60\u8bbe\u7f6e\u7684\u662f\u5168\u5c40\u7684\u73af\u5883\u53d8\u91cf\uff0c\u8fd9\u884c\u4ee3\u7801\u5219\u6ca1\u6709\u4efb\u4f55\u4f5c\u7528\u3002\n", "_ = load_dotenv(find_dotenv())\n", "\n", "# \u83b7\u53d6\u73af\u5883\u53d8\u91cf OPENAI_API_KEY\n", "openai.api_key = os.environ['OPENAI_API_KEY']  "]}, {"cell_type": "markdown", "id": "28008949", "metadata": {"tags": []}, "source": ["## \u4e8c\u3001 \u521b\u5efaLLM\u5e94\u7528\n", "\u6309\u7167langchain\u94fe\u7684\u65b9\u5f0f\u8fdb\u884c\u6784\u5efa"]}, {"cell_type": "code", "execution_count": 2, "id": "974acf8e-8f88-42de-88f8-40a82cb58e8b", "metadata": {"height": 98}, "outputs": [], "source": ["from langchain.chains import RetrievalQA #\u68c0\u7d22QA\u94fe\uff0c\u5728\u6587\u6863\u4e0a\u8fdb\u884c\u68c0\u7d22\n", "from langchain.chat_models import ChatOpenAI #openai\u6a21\u578b\n", "from langchain.document_loaders import CSVLoader #\u6587\u6863\u52a0\u8f7d\u5668\uff0c\u91c7\u7528csv\u683c\u5f0f\u5b58\u50a8\n", "from langchain.indexes import VectorstoreIndexCreator #\u5bfc\u5165\u5411\u91cf\u5b58\u50a8\u7d22\u5f15\u521b\u5efa\u5668\n", "from langchain.vectorstores import DocArrayInMemorySearch #\u5411\u91cf\u5b58\u50a8\n"]}, {"cell_type": "code", "execution_count": 3, "id": "9ec1106d", "metadata": {"height": 64}, "outputs": [], "source": ["#\u52a0\u8f7d\u6570\u636e\n", "file = 'OutdoorClothingCatalog_1000.csv'\n", "loader = CSVLoader(file_path=file)\n", "data = loader.load()"]}, {"cell_type": "code", "execution_count": 4, "id": "06b1ffae", "metadata": {}, "outputs": [{"data": {"text/html": ["<div>\n", "<style scoped>\n", "    .dataframe tbody tr th:only-of-type {\n", "        vertical-align: middle;\n", "    }\n", "\n", "    .dataframe tbody tr th {\n", "        vertical-align: top;\n", "    }\n", "\n", "    .dataframe thead th {\n", "        text-align: right;\n", "    }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", "  <thead>\n", "    <tr style=\"text-align: right;\">\n", "      <th></th>\n", "      <th>0</th>\n", "      <th>1</th>\n", "      <th>2</th>\n", "    </tr>\n", "  </thead>\n", "  <tbody>\n", "    <tr>\n", "      <th>0</th>\n", "      <td>NaN</td>\n", "      <td>name</td>\n", "      <td>description</td>\n", "    </tr>\n", "    <tr>\n", "      <th>1</th>\n", "      <td>0.0</td>\n", "      <td>Women's Campside Oxfords</td>\n", "      <td>This ultracomfortable lace-to-toe Oxford boast...</td>\n", "    </tr>\n", "    <tr>\n", "      <th>2</th>\n", "      <td>1.0</td>\n", "      <td>Recycled Waterhog Dog Mat, Chevron Weave</td>\n", "      <td>Protect your floors from spills and splashing ...</td>\n", "    </tr>\n", "    <tr>\n", "      <th>3</th>\n", "      <td>2.0</td>\n", "      <td>Infant and Toddler Girls' Coastal Chill Swimsu...</td>\n", "      <td>She'll love the bright colors, ruffles and exc...</td>\n", "    </tr>\n", "    <tr>\n", "      <th>4</th>\n", "      <td>3.0</td>\n", "      <td>Refresh Swimwear, V-Neck Tankini Contrasts</td>\n", "      <td>Whether you're going for a swim or heading out...</td>\n", "    </tr>\n", "    <tr>\n", "      <th>...</th>\n", "      <td>...</td>\n", "      <td>...</td>\n", "      <td>...</td>\n", "    </tr>\n", "    <tr>\n", "      <th>996</th>\n", "      <td>995.0</td>\n", "      <td>Men's  Classic Denim, Standard Fit</td>\n", "      <td>Crafted from premium denim that will last wash...</td>\n", "    </tr>\n", "    <tr>\n", "      <th>997</th>\n", "      <td>996.0</td>\n", "      <td>CozyPrint Sweater Fleece Pullover</td>\n", "      <td>The ultimate sweater fleece - made from superi...</td>\n", "    </tr>\n", "    <tr>\n", "      <th>998</th>\n", "      <td>997.0</td>\n", "      <td>Women's NRS Endurance Spray Paddling Pants</td>\n", "      <td>These comfortable and affordable splash paddli...</td>\n", "    </tr>\n", "    <tr>\n", "      <th>999</th>\n", "      <td>998.0</td>\n", "      <td>Women's Stop Flies Hoodie</td>\n", "      <td>This great-looking hoodie uses No Fly Zone Tec...</td>\n", "    </tr>\n", "    <tr>\n", "      <th>1000</th>\n", "      <td>999.0</td>\n", "      <td>Modern Utility Bag</td>\n", "      <td>This US-made crossbody bag is built with the s...</td>\n", "    </tr>\n", "  </tbody>\n", "</table>\n", "<p>1001 rows \u00d7 3 columns</p>\n", "</div>"], "text/plain": ["          0                                                  1  \\\n", "0       NaN                                               name   \n", "1       0.0                           Women's Campside Oxfords   \n", "2       1.0           Recycled Waterhog Dog Mat, Chevron Weave   \n", "3       2.0  Infant and Toddler Girls' Coastal Chill Swimsu...   \n", "4       3.0         Refresh Swimwear, V-Neck Tankini Contrasts   \n", "...     ...                                                ...   \n", "996   995.0                 Men's  Classic Denim, Standard Fit   \n", "997   996.0                  CozyPrint Sweater Fleece Pullover   \n", "998   997.0         Women's NRS Endurance Spray Paddling Pants   \n", "999   998.0                          Women's Stop Flies Hoodie   \n", "1000  999.0                                 Modern Utility Bag   \n", "\n", "                                                      2  \n", "0                                           description  \n", "1     This ultracomfortable lace-to-toe Oxford boast...  \n", "2     Protect your floors from spills and splashing ...  \n", "3     She'll love the bright colors, ruffles and exc...  \n", "4     Whether you're going for a swim or heading out...  \n", "...                                                 ...  \n", "996   Crafted from premium denim that will last wash...  \n", "997   The ultimate sweater fleece - made from superi...  \n", "998   These comfortable and affordable splash paddli...  \n", "999   This great-looking hoodie uses No Fly Zone Tec...  \n", "1000  This US-made crossbody bag is built with the s...  \n", "\n", "[1001 rows x 3 columns]"]}, "execution_count": 4, "metadata": {}, "output_type": "execute_result"}], "source": ["#\u67e5\u770b\u6570\u636e\n", "import pandas as pd\n", "test_data = pd.read_csv(file,header=None)\n", "test_data"]}, {"cell_type": "code", "execution_count": 6, "id": "b31c218f", "metadata": {"height": 64}, "outputs": [{"name": "stderr", "output_type": "stream", "text": ["Retrying langchain.embeddings.openai.embed_with_retry.<locals>._embed_with_retry in 4.0 seconds as it raised RateLimitError: Rate limit reached for default-text-embedding-ada-002 in organization org-2YlJyPMl62f07XPJCAlXfDxj on tokens per min. Limit: 150000 / min. Current: 127135 / min. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n"]}], "source": ["'''\n", "\u5c06\u6307\u5b9a\u5411\u91cf\u5b58\u50a8\u7c7b,\u521b\u5efa\u5b8c\u6210\u540e\uff0c\u6211\u4eec\u5c06\u4ece\u52a0\u8f7d\u5668\u4e2d\u8c03\u7528,\u901a\u8fc7\u6587\u6863\u8bb0\u8f7d\u5668\u5217\u8868\u52a0\u8f7d\n", "'''\n", "index = VectorstoreIndexCreator(\n", "    vectorstore_cls=DocArrayInMemorySearch\n", ").from_loaders([loader])"]}, {"cell_type": "code", "execution_count": 7, "id": "a2006054", "metadata": {"height": 183}, "outputs": [], "source": ["#\u901a\u8fc7\u6307\u5b9a\u8bed\u8a00\u6a21\u578b\u3001\u94fe\u7c7b\u578b\u3001\u68c0\u7d22\u5668\u548c\u6211\u4eec\u8981\u6253\u5370\u7684\u8be6\u7ec6\u7a0b\u5ea6\u6765\u521b\u5efa\u68c0\u7d22QA\u94fe\n", "llm = ChatOpenAI(temperature = 0.0)\n", "qa = RetrievalQA.from_chain_type(\n", "    llm=llm, \n", "    chain_type=\"stuff\", \n", "    retriever=index.vectorstore.as_retriever(), \n", "    verbose=True,\n", "    chain_type_kwargs = {\n", "        \"document_separator\": \"<<<<>>>>>\"\n", "    }\n", ")"]}, {"cell_type": "markdown", "id": "791ebd73", "metadata": {}, "source": ["### 2.1 \u521b\u5efa\u8bc4\u4f30\u6570\u636e\u70b9\n", "\u6211\u4eec\u9700\u8981\u505a\u7684\u7b2c\u4e00\u4ef6\u4e8b\u662f\u771f\u6b63\u5f04\u6e05\u695a\u6211\u4eec\u60f3\u8981\u8bc4\u4f30\u5b83\u7684\u4e00\u4e9b\u6570\u636e\u70b9\uff0c\u6211\u4eec\u5c06\u4ecb\u7ecd\u51e0\u79cd\u4e0d\u540c\u7684\u65b9\u6cd5\u6765\u5b8c\u6210\u8fd9\u4e2a\u4efb\u52a1\n", "\n", "1\u3001\u5c06\u81ea\u5df1\u60f3\u51fa\u597d\u7684\u6570\u636e\u70b9\u4f5c\u4e3a\u4f8b\u5b50\uff0c\u67e5\u770b\u4e00\u4e9b\u6570\u636e\uff0c\u7136\u540e\u60f3\u51fa\u4f8b\u5b50\u95ee\u9898\u548c\u7b54\u6848\uff0c\u4ee5\u4fbf\u4ee5\u540e\u7528\u4e8e\u8bc4\u4f30"]}, {"cell_type": "code", "execution_count": 8, "id": "fb04a0f9", "metadata": {"height": 30}, "outputs": [{"data": {"text/plain": ["Document(page_content=\": 10\\nname: Cozy Comfort Pullover Set, Stripe\\ndescription: Perfect for lounging, this striped knit set lives up to its name. We used ultrasoft fabric and an easy design that's as comfortable at bedtime as it is when we have to make a quick run out.\\r\\n\\r\\nSize & Fit\\r\\n- Pants are Favorite Fit: Sits lower on the waist.\\r\\n- Relaxed Fit: Our most generous fit sits farthest from the body.\\r\\n\\r\\nFabric & Care\\r\\n- In the softest blend of 63% polyester, 35% rayon and 2% spandex.\\r\\n\\r\\nAdditional Features\\r\\n- Relaxed fit top with raglan sleeves and rounded hem.\\r\\n- Pull-on pants have a wide elastic waistband and drawstring, side pockets and a modern slim leg.\\r\\n\\r\\nImported.\", metadata={'source': 'OutdoorClothingCatalog_1000.csv', 'row': 10})"]}, "execution_count": 8, "metadata": {}, "output_type": "execute_result"}], "source": ["data[10]#\u67e5\u770b\u8fd9\u91cc\u7684\u4e00\u4e9b\u6587\u6863\uff0c\u6211\u4eec\u53ef\u4ee5\u5bf9\u5176\u4e2d\u53d1\u751f\u7684\u4e8b\u60c5\u6709\u6240\u4e86\u89e3"]}, {"cell_type": "code", "execution_count": 9, "id": "fe4a88c2", "metadata": {"height": 30}, "outputs": [{"data": {"text/plain": ["Document(page_content=': 11\\nname: Ultra-Lofty 850 Stretch Down Hooded Jacket\\ndescription: This technical stretch down jacket from our DownTek collection is sure to keep you warm and comfortable with its full-stretch construction providing exceptional range of motion. With a slightly fitted style that falls at the hip and best with a midweight layer, this jacket is suitable for light activity up to 20\u00b0 and moderate activity up to -30\u00b0. The soft and durable 100% polyester shell offers complete windproof protection and is insulated with warm, lofty goose down. Other features include welded baffles for a no-stitch construction and excellent stretch, an adjustable hood, an interior media port and mesh stash pocket and a hem drawcord. Machine wash and dry. Imported.', metadata={'source': 'OutdoorClothingCatalog_1000.csv', 'row': 11})"]}, "execution_count": 9, "metadata": {}, "output_type": "execute_result"}], "source": ["data[11]"]}, {"cell_type": "markdown", "id": "b9c52116", "metadata": {}, "source": ["\u770b\u8d77\u6765\u7b2c\u4e00\u4e2a\u6587\u6863\u4e2d\u6709\u8fd9\u4e2a\u5957\u5934\u886b\uff0c\u7b2c\u4e8c\u4e2a\u6587\u6863\u4e2d\u6709\u8fd9\u4e2a\u5939\u514b\uff0c\u4ece\u8fd9\u4e9b\u7ec6\u8282\u4e2d\uff0c\u6211\u4eec\u53ef\u4ee5\u521b\u5efa\u4e00\u4e9b\u4f8b\u5b50\u67e5\u8be2\u548c\u7b54\u6848"]}, {"cell_type": "markdown", "id": "8d548aef", "metadata": {}, "source": ["### 2.2 \u521b\u5efa\u6d4b\u8bd5\u7528\u4f8b\u6570\u636e\n"]}, {"cell_type": "code", "execution_count": 10, "id": "c2d59bf2", "metadata": {"height": 217}, "outputs": [], "source": ["examples = [\n", "    {\n", "        \"query\": \"Do the Cozy Comfort Pullover Set\\\n", "        have side pockets?\",\n", "        \"answer\": \"Yes\"\n", "    },\n", "    {\n", "        \"query\": \"What collection is the Ultra-Lofty \\\n", "        850 Stretch Down Hooded Jacket from?\",\n", "        \"answer\": \"The DownTek collection\"\n", "    }\n", "]"]}, {"cell_type": "markdown", "id": "b73ce510", "metadata": {}, "source": ["\u56e0\u6b64\uff0c\u6211\u4eec\u53ef\u4ee5\u95ee\u4e00\u4e2a\u7b80\u5355\u7684\u95ee\u9898\uff0c\u8fd9\u4e2a\u8212\u9002\u7684\u5957\u5934\u886b\u5957\u88c5\u6709\u4fa7\u53e3\u888b\u5417\uff1f\uff0c\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u4e0a\u9762\u7684\u5185\u5bb9\u770b\u5230\uff0c\u5b83\u786e\u5b9e\u6709\u4e00\u4e9b\u4fa7\u53e3\u888b\uff0c\u7b54\u6848\u4e3a\u662f\n", "\u5bf9\u4e8e\u7b2c\u4e8c\u4e2a\u6587\u6863\uff0c\u6211\u4eec\u53ef\u4ee5\u770b\u5230\u8fd9\u4ef6\u5939\u514b\u6765\u81ea\u67d0\u4e2a\u7cfb\u5217\uff0c\u5373down tech\u7cfb\u5217\uff0c\u7b54\u6848\u662fdown tech\u7cfb\u5217\u3002"]}, {"cell_type": "markdown", "id": "c7ce3e4f", "metadata": {}, "source": ["### 2.3 \u901a\u8fc7LLM\u751f\u6210\u6d4b\u8bd5\u7528\u4f8b"]}, {"cell_type": "code", "execution_count": 11, "id": "d44f8376", "metadata": {"height": 47}, "outputs": [], "source": ["from langchain.evaluation.qa import QAGenerateChain #\u5bfc\u5165QA\u751f\u6210\u94fe\uff0c\u5b83\u5c06\u63a5\u6536\u6587\u6863\uff0c\u5e76\u4ece\u6bcf\u4e2a\u6587\u6863\u4e2d\u521b\u5efa\u4e00\u4e2a\u95ee\u9898\u7b54\u6848\u5bf9\n"]}, {"cell_type": "code", "execution_count": 12, "id": "34e87816", "metadata": {"height": 30}, "outputs": [], "source": ["example_gen_chain = QAGenerateChain.from_llm(ChatOpenAI())#\u901a\u8fc7\u4f20\u9012chat open AI\u8bed\u8a00\u6a21\u578b\u6765\u521b\u5efa\u8fd9\u4e2a\u94fe"]}, {"cell_type": "code", "execution_count": 13, "id": "b93e7a5d", "metadata": {}, "outputs": [{"data": {"text/plain": ["[Document(page_content=\": 0\\nname: Women's Campside Oxfords\\ndescription: This ultracomfortable lace-to-toe Oxford boasts a super-soft canvas, thick cushioning, and quality construction for a broken-in feel from the first time you put them on. \\r\\n\\r\\nSize & Fit: Order regular shoe size. For half sizes not offered, order up to next whole size. \\r\\n\\r\\nSpecs: Approx. weight: 1 lb.1 oz. per pair. \\r\\n\\r\\nConstruction: Soft canvas material for a broken-in feel and look. Comfortable EVA innersole with Cleansport NXT\u00ae antimicrobial odor control. Vintage hunt, fish and camping motif on innersole. Moderate arch contour of innersole. EVA foam midsole for cushioning and support. Chain-tread-inspired molded rubber outsole with modified chain-tread pattern. Imported. \\r\\n\\r\\nQuestions? Please contact us for any inquiries.\", metadata={'source': 'OutdoorClothingCatalog_1000.csv', 'row': 0}),\n", " Document(page_content=': 1\\nname: Recycled Waterhog Dog Mat, Chevron Weave\\ndescription: Protect your floors from spills and splashing with our ultradurable recycled Waterhog dog mat made right here in the USA. \\r\\n\\r\\nSpecs\\r\\nSmall - Dimensions: 18\" x 28\". \\r\\nMedium - Dimensions: 22.5\" x 34.5\".\\r\\n\\r\\nWhy We Love It\\r\\nMother nature, wet shoes and muddy paws have met their match with our Recycled Waterhog mats. Ruggedly constructed from recycled plastic materials, these ultratough mats help keep dirt and water off your floors and plastic out of landfills, trails and oceans. Now, that\\'s a win-win for everyone.\\r\\n\\r\\nFabric & Care\\r\\nVacuum or hose clean.\\r\\n\\r\\nConstruction\\r\\n24 oz. polyester fabric made from 94% recycled materials.\\r\\nRubber backing.\\r\\n\\r\\nAdditional Features\\r\\nFeatures an -exclusive design.\\r\\nFeatures thick and thin fibers for scraping dirt and absorbing water.\\r\\nDries quickly and resists fading, rotting, mildew and shedding.\\r\\nUse indoors or out.\\r\\nMade in the USA.\\r\\n\\r\\nHave questions? Reach out to our customer service team with any questions you may have.', metadata={'source': 'OutdoorClothingCatalog_1000.csv', 'row': 1}),\n", " Document(page_content=\": 2\\nname: Infant and Toddler Girls' Coastal Chill Swimsuit, Two-Piece\\ndescription: She'll love the bright colors, ruffles and exclusive whimsical prints of this toddler's two-piece swimsuit! Our four-way-stretch and chlorine-resistant fabric keeps its shape and resists snags. The UPF 50+ rated fabric provides the highest rated sun protection possible, blocking 98% of the sun's harmful rays. The crossover no-slip straps and fully lined bottom ensure a secure fit and maximum coverage. Machine wash and line dry for best results. Imported.\", metadata={'source': 'OutdoorClothingCatalog_1000.csv', 'row': 2}),\n", " Document(page_content=\": 3\\nname: Refresh Swimwear, V-Neck Tankini Contrasts\\ndescription: Whether you're going for a swim or heading out on an SUP, this watersport-ready tankini top is designed to move with you and stay comfortable. All while looking great in an eye-catching colorblock style. \\r\\n\\r\\nSize & Fit\\r\\nFitted: Sits close to the body.\\r\\n\\r\\nWhy We Love It\\r\\nNot only does this swimtop feel good to wear, its fabric is good for the earth too. In recycled nylon, with Lycra\u00ae spandex for the perfect amount of stretch. \\r\\n\\r\\nFabric & Care\\r\\nThe premium Italian-blend is breathable, quick drying and abrasion resistant. \\r\\nBody in 82% recycled nylon with 18% Lycra\u00ae spandex. \\r\\nLined in 90% recycled nylon with 10% Lycra\u00ae spandex. \\r\\nUPF 50+ rated \u2013 the highest rated sun protection possible. \\r\\nHandwash, line dry.\\r\\n\\r\\nAdditional Features\\r\\nLightweight racerback straps are easy to get on and off, and won't get in your way. \\r\\nFlattering V-neck silhouette. \\r\\nImported.\\r\\n\\r\\nSun Protection That Won't Wear Off\\r\\nOur high-performance fabric provides SPF\", metadata={'source': 'OutdoorClothingCatalog_1000.csv', 'row': 3}),\n", " Document(page_content=\": 4\\nname: EcoFlex 3L Storm Pants\\ndescription: Our new TEK O2 technology makes our four-season waterproof pants even more breathable. It's guaranteed to keep you dry and comfortable \u2013 whatever the activity and whatever the weather. Size & Fit: Slightly Fitted through hip and thigh. \\r\\n\\r\\nWhy We Love It: Our state-of-the-art TEK O2 technology offers the most breathability we've ever tested. Great as ski pants, they're ideal for a variety of outdoor activities year-round. Plus, they're loaded with features outdoor enthusiasts appreciate, including weather-blocking gaiters and handy side zips. Air In. Water Out. See how our air-permeable TEK O2 technology keeps you dry and comfortable. \\r\\n\\r\\nFabric & Care: 100% nylon, exclusive of trim. Machine wash and dry. \\r\\n\\r\\nAdditional Features: Three-layer shell delivers waterproof protection. Brand new TEK O2 technology provides enhanced breathability. Interior gaiters keep out rain and snow. Full side zips for easy on/off over boots. Two zippered hand pockets. Thigh pocket. Imported.\\r\\n\\r\\n \u2013 Official Supplier to the U.S. Ski Team\\r\\nTHEIR WILL\", metadata={'source': 'OutdoorClothingCatalog_1000.csv', 'row': 4})]"]}, "execution_count": 13, "metadata": {}, "output_type": "execute_result"}], "source": ["data[:5]"]}, {"cell_type": "code", "execution_count": 15, "id": "62abae09", "metadata": {"height": 64}, "outputs": [{"name": "stderr", "output_type": "stream", "text": ["Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 1.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 2.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 4.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 8.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 1.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 2.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 4.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 8.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n"]}], "source": ["new_examples = example_gen_chain.apply_and_parse(\n", "    [{\"doc\": t} for t in data[:5]]\n", ") #\u6211\u4eec\u53ef\u4ee5\u521b\u5efa\u8bb8\u591a\u4f8b\u5b50"]}, {"cell_type": "code", "execution_count": 16, "id": "31c9f786", "metadata": {}, "outputs": [{"data": {"text/plain": ["[{'query': \"What is the description of the Women's Campside Oxfords?\",\n", "  'answer': \"The Women's Campside Oxfords are described as an ultracomfortable lace-to-toe Oxford made of soft canvas material, featuring thick cushioning, quality construction, and a broken-in feel from the first time they are worn.\"},\n", " {'query': 'What are the dimensions of the small and medium sizes of the Recycled Waterhog Dog Mat, Chevron Weave?',\n", "  'answer': 'The small size of the Recycled Waterhog Dog Mat, Chevron Weave has dimensions of 18\" x 28\", while the medium size has dimensions of 22.5\" x 34.5\".'},\n", " {'query': \"What are some features of the Infant and Toddler Girls' Coastal Chill Swimsuit, Two-Piece?\",\n", "  'answer': \"The swimsuit features bright colors, ruffles, and exclusive whimsical prints. It is made of a four-way-stretch and chlorine-resistant fabric that maintains its shape and resists snags. The fabric is also UPF 50+ rated, providing the highest rated sun protection possible by blocking 98% of the sun's harmful rays. The swimsuit has crossover no-slip straps and a fully lined bottom for a secure fit and maximum coverage.\"},\n", " {'query': 'What is the fabric composition of the Refresh Swimwear, V-Neck Tankini Contrasts?',\n", "  'answer': 'The Refresh Swimwear, V-Neck Tankini Contrasts is made of 82% recycled nylon with 18% Lycra\u00ae spandex for the body, and 90% recycled nylon with 10% Lycra\u00ae spandex for the lining.'},\n", " {'query': 'What is the technology used in the EcoFlex 3L Storm Pants that makes them more breathable?',\n", "  'answer': 'The EcoFlex 3L Storm Pants use TEK O2 technology to make them more breathable.'}]"]}, "execution_count": 16, "metadata": {}, "output_type": "execute_result"}], "source": ["new_examples #\u67e5\u770b\u7528\u4f8b\u6570\u636e"]}, {"cell_type": "code", "execution_count": 17, "id": "97ab28b5", "metadata": {"height": 30}, "outputs": [{"data": {"text/plain": ["{'query': \"What is the description of the Women's Campside Oxfords?\",\n", " 'answer': \"The Women's Campside Oxfords are described as an ultracomfortable lace-to-toe Oxford made of soft canvas material, featuring thick cushioning, quality construction, and a broken-in feel from the first time they are worn.\"}"]}, "execution_count": 17, "metadata": {}, "output_type": "execute_result"}], "source": ["new_examples[0]"]}, {"cell_type": "code", "execution_count": 18, "id": "0ebe4228", "metadata": {"height": 30}, "outputs": [{"data": {"text/plain": ["Document(page_content=\": 0\\nname: Women's Campside Oxfords\\ndescription: This ultracomfortable lace-to-toe Oxford boasts a super-soft canvas, thick cushioning, and quality construction for a broken-in feel from the first time you put them on. \\r\\n\\r\\nSize & Fit: Order regular shoe size. For half sizes not offered, order up to next whole size. \\r\\n\\r\\nSpecs: Approx. weight: 1 lb.1 oz. per pair. \\r\\n\\r\\nConstruction: Soft canvas material for a broken-in feel and look. Comfortable EVA innersole with Cleansport NXT\u00ae antimicrobial odor control. Vintage hunt, fish and camping motif on innersole. Moderate arch contour of innersole. EVA foam midsole for cushioning and support. Chain-tread-inspired molded rubber outsole with modified chain-tread pattern. Imported. \\r\\n\\r\\nQuestions? Please contact us for any inquiries.\", metadata={'source': 'OutdoorClothingCatalog_1000.csv', 'row': 0})"]}, "execution_count": 18, "metadata": {}, "output_type": "execute_result"}], "source": ["data[0]"]}, {"cell_type": "markdown", "id": "faf25f2f", "metadata": {}, "source": ["### 2.4 \u7ec4\u5408\u7528\u4f8b\u6570\u636e"]}, {"cell_type": "code", "execution_count": 19, "id": "ada2a3fc", "metadata": {"height": 30}, "outputs": [], "source": ["examples += new_examples"]}, {"cell_type": "code", "execution_count": 20, "id": "9cdf5cf5", "metadata": {"height": 30}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["\n", "\n", "\u001b[1m> Entering new  chain...\u001b[0m\n", "\n", "\u001b[1m> Finished chain.\u001b[0m\n"]}, {"data": {"text/plain": ["'Yes, the Cozy Comfort Pullover Set does have side pockets.'"]}, "execution_count": 20, "metadata": {}, "output_type": "execute_result"}], "source": ["qa.run(examples[0][\"query\"])"]}, {"cell_type": "code", "execution_count": null, "id": "f3b8371c-f4ed-4f33-8bda-10f281e62e83", "metadata": {}, "outputs": [], "source": []}, {"cell_type": "markdown", "id": "6f596f04-012a-4fbd-8de1-d849dfa7a837", "metadata": {"tags": []}, "source": ["\n", "### 2.5 \u4e2d\u6587\u7248\n", "\u6309\u7167langchain\u94fe\u7684\u65b9\u5f0f\u8fdb\u884c\u6784\u5efa"]}, {"cell_type": "code", "execution_count": null, "id": "c045628e", "metadata": {}, "outputs": [], "source": ["from langchain.chains import RetrievalQA #\u68c0\u7d22QA\u94fe\uff0c\u5728\u6587\u6863\u4e0a\u8fdb\u884c\u68c0\u7d22\n", "from langchain.chat_models import ChatOpenAI #openai\u6a21\u578b\n", "from langchain.document_loaders import CSVLoader #\u6587\u6863\u52a0\u8f7d\u5668\uff0c\u91c7\u7528csv\u683c\u5f0f\u5b58\u50a8\n", "from langchain.indexes import VectorstoreIndexCreator #\u5bfc\u5165\u5411\u91cf\u5b58\u50a8\u7d22\u5f15\u521b\u5efa\u5668\n", "from langchain.vectorstores import DocArrayInMemorySearch #\u5411\u91cf\u5b58\u50a8\n"]}, {"cell_type": "code", "execution_count": null, "id": "bfd04e93", "metadata": {}, "outputs": [], "source": ["#\u52a0\u8f7d\u4e2d\u6587\u6570\u636e\n", "file = 'product_data.csv'\n", "loader = CSVLoader(file_path=file)\n", "data = loader.load()"]}, {"cell_type": "code", "execution_count": null, "id": "da8eb973", "metadata": {}, "outputs": [{"data": {"text/html": ["<div>\n", "<style scoped>\n", "    .dataframe tbody tr th:only-of-type {\n", "        vertical-align: middle;\n", "    }\n", "\n", "    .dataframe tbody tr th {\n", "        vertical-align: top;\n", "    }\n", "\n", "    .dataframe thead th {\n", "        text-align: right;\n", "    }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", "  <thead>\n", "    <tr style=\"text-align: right;\">\n", "      <th></th>\n", "      <th>0</th>\n", "      <th>1</th>\n", "    </tr>\n", "  </thead>\n", "  <tbody>\n", "    <tr>\n", "      <th>0</th>\n", "      <td>product_name</td>\n", "      <td>description</td>\n", "    </tr>\n", "    <tr>\n", "      <th>1</th>\n", "      <td>\u5168\u81ea\u52a8\u5496\u5561\u673a</td>\n", "      <td>\u89c4\u683c:\\n\u5927\u578b - \u5c3a\u5bf8\uff1a13.8'' x 17.3''\u3002\\n\u4e2d\u578b - \u5c3a\u5bf8\uff1a11.5'' ...</td>\n", "    </tr>\n", "    <tr>\n", "      <th>2</th>\n", "      <td>\u7535\u52a8\u7259\u5237</td>\n", "      <td>\u89c4\u683c:\\n\u4e00\u822c\u5927\u5c0f - \u9ad8\u5ea6\uff1a9.5''\uff0c\u5bbd\u5ea6\uff1a1''\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684...</td>\n", "    </tr>\n", "    <tr>\n", "      <th>3</th>\n", "      <td>\u6a59\u5473\u7ef4\u751f\u7d20C\u6ce1\u817e\u7247</td>\n", "      <td>\u89c4\u683c:\\n\u6bcf\u76d2\u542b\u670920\u7247\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684\u6a59\u5473\u7ef4\u751f\u7d20C\u6ce1\u817e\u7247\u662f\u5feb\u901f\u8865\u5145\u7ef4...</td>\n", "    </tr>\n", "    <tr>\n", "      <th>4</th>\n", "      <td>\u65e0\u7ebf\u84dd\u7259\u8033\u673a</td>\n", "      <td>\u89c4\u683c:\\n\u5355\u4e2a\u8033\u673a\u5c3a\u5bf8\uff1a1.5'' x 1.3''\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u8fd9\u6b3e\u65e0\u7ebf\u84dd...</td>\n", "    </tr>\n", "    <tr>\n", "      <th>5</th>\n", "      <td>\u745c\u4f3d\u57ab</td>\n", "      <td>\u89c4\u683c:\\n\u5c3a\u5bf8\uff1a24'' x 68''\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684\u745c\u4f3d\u57ab\u62e5\u6709\u51fa\u8272\u7684...</td>\n", "    </tr>\n", "    <tr>\n", "      <th>6</th>\n", "      <td>\u9632\u6c34\u8fd0\u52a8\u624b\u8868</td>\n", "      <td>\u89c4\u683c:\\n\u8868\u76d8\u76f4\u5f84\uff1a40mm\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u8fd9\u6b3e\u9632\u6c34\u8fd0\u52a8\u624b\u8868\u914d\u5907\u4e86\u5fc3\u7387\u76d1\u6d4b\u548c...</td>\n", "    </tr>\n", "    <tr>\n", "      <th>7</th>\n", "      <td>\u4e66\u7c4d:\u300a\u673a\u5668\u5b66\u4e60\u57fa\u7840\u300b</td>\n", "      <td>\u89c4\u683c:\\n\u9875\u6570\uff1a580\u9875\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u300a\u673a\u5668\u5b66\u4e60\u57fa\u7840\u300b\u4ee5\u6613\u61c2\u7684\u8bed\u8a00\u8bb2\u89e3\u4e86\u673a...</td>\n", "    </tr>\n", "    <tr>\n", "      <th>8</th>\n", "      <td>\u7a7a\u6c14\u51c0\u5316\u5668</td>\n", "      <td>\u89c4\u683c:\\n\u5c3a\u5bf8\uff1a15'' x 15'' x 20''\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684\u7a7a...</td>\n", "    </tr>\n", "    <tr>\n", "      <th>9</th>\n", "      <td>\u9676\u74f7\u4fdd\u6e29\u676f</td>\n", "      <td>\u89c4\u683c:\\n\u5bb9\u91cf\uff1a350ml\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684\u9676\u74f7\u4fdd\u6e29\u676f\u8bbe\u8ba1\u4f18\u96c5\uff0c\u4fdd\u6e29\u6548\u679c...</td>\n", "    </tr>\n", "    <tr>\n", "      <th>10</th>\n", "      <td>\u5ba0\u7269\u81ea\u52a8\u5582\u98df\u5668</td>\n", "      <td>\u89c4\u683c:\\n\u5c3a\u5bf8\uff1a14'' x 9'' x 15''\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684\u5ba0\u7269...</td>\n", "    </tr>\n", "    <tr>\n", "      <th>11</th>\n", "      <td>\u9ad8\u6e05\u7535\u89c6\u673a</td>\n", "      <td>\u89c4\u683c:\\n\u5c3a\u5bf8\uff1a50''\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684\u9ad8\u6e05\u7535\u89c6\u673a\u62e5\u6709\u51fa\u8272\u7684\u753b\u8d28\u548c\u5f3a\u5927...</td>\n", "    </tr>\n", "    <tr>\n", "      <th>12</th>\n", "      <td>\u65c5\u884c\u80cc\u5305</td>\n", "      <td>\u89c4\u683c:\\n\u5c3a\u5bf8\uff1a18'' x 12'' x 6''\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684\u65c5\u884c...</td>\n", "    </tr>\n", "    <tr>\n", "      <th>13</th>\n", "      <td>\u592a\u9633\u80fd\u5ead\u9662\u706f</td>\n", "      <td>\u89c4\u683c:\\n\u9ad8\u5ea6\uff1a18''\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684\u592a\u9633\u80fd\u5ead\u9662\u706f\u65e0\u9700\u7535\u6e90\uff0c\u53ea\u9700\u5c06\u5176...</td>\n", "    </tr>\n", "    <tr>\n", "      <th>14</th>\n", "      <td>\u53a8\u623f\u5200\u5177\u5957\u88c5</td>\n", "      <td>\u89c4\u683c:\\n\u4e00\u5957\u5305\u62ec8\u628a\u5200\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684\u53a8\u623f\u5200\u5177\u5957\u88c5\u7531\u4e13\u4e1a\u7ea7\u4e0d\u9508\u94a2\u5236\u6210...</td>\n", "    </tr>\n", "    <tr>\n", "      <th>15</th>\n", "      <td>\u8ff7\u4f60\u65e0\u7ebf\u84dd\u7259\u97f3\u7bb1</td>\n", "      <td>\u89c4\u683c:\\n\u76f4\u5f84\uff1a3''\uff0c\u9ad8\u5ea6\uff1a2''\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684\u8ff7\u4f60\u65e0\u7ebf\u84dd\u7259\u97f3\u7bb1\u4f53...</td>\n", "    </tr>\n", "    <tr>\n", "      <th>16</th>\n", "      <td>\u6297\u83cc\u6d17\u624b\u6db2</td>\n", "      <td>\u89c4\u683c:\\n\u5bb9\u91cf\uff1a500ml\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684\u6297\u83cc\u6d17\u624b\u6db2\u542b\u6709\u5929\u7136\u690d\u7269\u7cbe\u534e\uff0c...</td>\n", "    </tr>\n", "    <tr>\n", "      <th>17</th>\n", "      <td>\u7eaf\u68c9T\u6064</td>\n", "      <td>\u89c4\u683c:\\n\u5c3a\u7801\uff1aS, M, L, XL, XXL\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684\u7eaf\u68c9T...</td>\n", "    </tr>\n", "    <tr>\n", "      <th>18</th>\n", "      <td>\u81ea\u52a8\u5496\u5561\u673a</td>\n", "      <td>\u89c4\u683c:\\n\u5c3a\u5bf8\uff1a12'' x 8'' x 14''\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684\u81ea\u52a8...</td>\n", "    </tr>\n", "    <tr>\n", "      <th>19</th>\n", "      <td>\u6444\u50cf\u5934\u4fdd\u62a4\u5957</td>\n", "      <td>\u89c4\u683c:\\n\u9002\u7528\u4e8e\u5404\u79cd\u54c1\u724c\u548c\u578b\u53f7\u7684\u6444\u50cf\u5934\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684\u6444\u50cf\u5934\u4fdd\u62a4\u5957\u53ef\u4ee5...</td>\n", "    </tr>\n", "    <tr>\n", "      <th>20</th>\n", "      <td>\u73bb\u7483\u4fdd\u62a4\u819c</td>\n", "      <td>\u89c4\u683c:\\n\u9002\u7528\u4e8e\u5404\u79cd\u5c3a\u5bf8\u7684\u624b\u673a\u5c4f\u5e55\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684\u73bb\u7483\u4fdd\u62a4\u819c\u53ef\u4ee5\u6709\u6548\u9632...</td>\n", "    </tr>\n", "    <tr>\n", "      <th>21</th>\n", "      <td>\u513f\u7ae5\u76ca\u667a\u73a9\u5177</td>\n", "      <td>\u89c4\u683c:\\n\u9002\u54083\u5c81\u4ee5\u4e0a\u7684\u513f\u7ae5\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684\u513f\u7ae5\u76ca\u667a\u73a9\u5177\u8bbe\u8ba1\u72ec\u7279\uff0c\u8272\u5f69...</td>\n", "    </tr>\n", "    <tr>\n", "      <th>22</th>\n", "      <td>\u8ff7\u4f60\u4e66\u67b6</td>\n", "      <td>\u89c4\u683c:\\n\u5c3a\u5bf8\uff1a20'' x 8'' x 24''\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684\u8ff7\u4f60...</td>\n", "    </tr>\n", "    <tr>\n", "      <th>23</th>\n", "      <td>\u9632\u6ed1\u745c\u4f3d\u57ab</td>\n", "      <td>\u89c4\u683c:\\n\u5c3a\u5bf8\uff1a72'' x 24''\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684\u9632\u6ed1\u745c\u4f3d\u57ab\u91c7\u7528\u9ad8...</td>\n", "    </tr>\n", "    <tr>\n", "      <th>24</th>\n", "      <td>LED\u53f0\u706f</td>\n", "      <td>\u89c4\u683c:\\n\u5c3a\u5bf8\uff1a6'' x 6'' x 18''\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684LED...</td>\n", "    </tr>\n", "    <tr>\n", "      <th>25</th>\n", "      <td>\u6c34\u6676\u9152\u676f</td>\n", "      <td>\u89c4\u683c:\\n\u5bb9\u91cf\uff1a250ml\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684\u6c34\u6676\u9152\u676f\u91c7\u7528\u9ad8\u54c1\u8d28\u6c34\u6676\u73bb\u7483\u5236...</td>\n", "    </tr>\n", "  </tbody>\n", "</table>\n", "</div>"], "text/plain": ["               0                                                  1\n", "0   product_name                                        description\n", "1         \u5168\u81ea\u52a8\u5496\u5561\u673a  \u89c4\u683c:\\n\u5927\u578b - \u5c3a\u5bf8\uff1a13.8'' x 17.3''\u3002\\n\u4e2d\u578b - \u5c3a\u5bf8\uff1a11.5'' ...\n", "2           \u7535\u52a8\u7259\u5237  \u89c4\u683c:\\n\u4e00\u822c\u5927\u5c0f - \u9ad8\u5ea6\uff1a9.5''\uff0c\u5bbd\u5ea6\uff1a1''\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684...\n", "3      \u6a59\u5473\u7ef4\u751f\u7d20C\u6ce1\u817e\u7247  \u89c4\u683c:\\n\u6bcf\u76d2\u542b\u670920\u7247\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684\u6a59\u5473\u7ef4\u751f\u7d20C\u6ce1\u817e\u7247\u662f\u5feb\u901f\u8865\u5145\u7ef4...\n", "4         \u65e0\u7ebf\u84dd\u7259\u8033\u673a  \u89c4\u683c:\\n\u5355\u4e2a\u8033\u673a\u5c3a\u5bf8\uff1a1.5'' x 1.3''\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u8fd9\u6b3e\u65e0\u7ebf\u84dd...\n", "5            \u745c\u4f3d\u57ab  \u89c4\u683c:\\n\u5c3a\u5bf8\uff1a24'' x 68''\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684\u745c\u4f3d\u57ab\u62e5\u6709\u51fa\u8272\u7684...\n", "6         \u9632\u6c34\u8fd0\u52a8\u624b\u8868  \u89c4\u683c:\\n\u8868\u76d8\u76f4\u5f84\uff1a40mm\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u8fd9\u6b3e\u9632\u6c34\u8fd0\u52a8\u624b\u8868\u914d\u5907\u4e86\u5fc3\u7387\u76d1\u6d4b\u548c...\n", "7    \u4e66\u7c4d:\u300a\u673a\u5668\u5b66\u4e60\u57fa\u7840\u300b  \u89c4\u683c:\\n\u9875\u6570\uff1a580\u9875\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u300a\u673a\u5668\u5b66\u4e60\u57fa\u7840\u300b\u4ee5\u6613\u61c2\u7684\u8bed\u8a00\u8bb2\u89e3\u4e86\u673a...\n", "8          \u7a7a\u6c14\u51c0\u5316\u5668  \u89c4\u683c:\\n\u5c3a\u5bf8\uff1a15'' x 15'' x 20''\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684\u7a7a...\n", "9          \u9676\u74f7\u4fdd\u6e29\u676f  \u89c4\u683c:\\n\u5bb9\u91cf\uff1a350ml\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684\u9676\u74f7\u4fdd\u6e29\u676f\u8bbe\u8ba1\u4f18\u96c5\uff0c\u4fdd\u6e29\u6548\u679c...\n", "10       \u5ba0\u7269\u81ea\u52a8\u5582\u98df\u5668  \u89c4\u683c:\\n\u5c3a\u5bf8\uff1a14'' x 9'' x 15''\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684\u5ba0\u7269...\n", "11         \u9ad8\u6e05\u7535\u89c6\u673a  \u89c4\u683c:\\n\u5c3a\u5bf8\uff1a50''\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684\u9ad8\u6e05\u7535\u89c6\u673a\u62e5\u6709\u51fa\u8272\u7684\u753b\u8d28\u548c\u5f3a\u5927...\n", "12          \u65c5\u884c\u80cc\u5305  \u89c4\u683c:\\n\u5c3a\u5bf8\uff1a18'' x 12'' x 6''\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684\u65c5\u884c...\n", "13        \u592a\u9633\u80fd\u5ead\u9662\u706f  \u89c4\u683c:\\n\u9ad8\u5ea6\uff1a18''\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684\u592a\u9633\u80fd\u5ead\u9662\u706f\u65e0\u9700\u7535\u6e90\uff0c\u53ea\u9700\u5c06\u5176...\n", "14        \u53a8\u623f\u5200\u5177\u5957\u88c5  \u89c4\u683c:\\n\u4e00\u5957\u5305\u62ec8\u628a\u5200\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684\u53a8\u623f\u5200\u5177\u5957\u88c5\u7531\u4e13\u4e1a\u7ea7\u4e0d\u9508\u94a2\u5236\u6210...\n", "15      \u8ff7\u4f60\u65e0\u7ebf\u84dd\u7259\u97f3\u7bb1  \u89c4\u683c:\\n\u76f4\u5f84\uff1a3''\uff0c\u9ad8\u5ea6\uff1a2''\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684\u8ff7\u4f60\u65e0\u7ebf\u84dd\u7259\u97f3\u7bb1\u4f53...\n", "16         \u6297\u83cc\u6d17\u624b\u6db2  \u89c4\u683c:\\n\u5bb9\u91cf\uff1a500ml\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684\u6297\u83cc\u6d17\u624b\u6db2\u542b\u6709\u5929\u7136\u690d\u7269\u7cbe\u534e\uff0c...\n", "17          \u7eaf\u68c9T\u6064  \u89c4\u683c:\\n\u5c3a\u7801\uff1aS, M, L, XL, XXL\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684\u7eaf\u68c9T...\n", "18         \u81ea\u52a8\u5496\u5561\u673a  \u89c4\u683c:\\n\u5c3a\u5bf8\uff1a12'' x 8'' x 14''\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684\u81ea\u52a8...\n", "19        \u6444\u50cf\u5934\u4fdd\u62a4\u5957  \u89c4\u683c:\\n\u9002\u7528\u4e8e\u5404\u79cd\u54c1\u724c\u548c\u578b\u53f7\u7684\u6444\u50cf\u5934\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684\u6444\u50cf\u5934\u4fdd\u62a4\u5957\u53ef\u4ee5...\n", "20         \u73bb\u7483\u4fdd\u62a4\u819c  \u89c4\u683c:\\n\u9002\u7528\u4e8e\u5404\u79cd\u5c3a\u5bf8\u7684\u624b\u673a\u5c4f\u5e55\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684\u73bb\u7483\u4fdd\u62a4\u819c\u53ef\u4ee5\u6709\u6548\u9632...\n", "21        \u513f\u7ae5\u76ca\u667a\u73a9\u5177  \u89c4\u683c:\\n\u9002\u54083\u5c81\u4ee5\u4e0a\u7684\u513f\u7ae5\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684\u513f\u7ae5\u76ca\u667a\u73a9\u5177\u8bbe\u8ba1\u72ec\u7279\uff0c\u8272\u5f69...\n", "22          \u8ff7\u4f60\u4e66\u67b6  \u89c4\u683c:\\n\u5c3a\u5bf8\uff1a20'' x 8'' x 24''\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684\u8ff7\u4f60...\n", "23         \u9632\u6ed1\u745c\u4f3d\u57ab  \u89c4\u683c:\\n\u5c3a\u5bf8\uff1a72'' x 24''\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684\u9632\u6ed1\u745c\u4f3d\u57ab\u91c7\u7528\u9ad8...\n", "24         LED\u53f0\u706f  \u89c4\u683c:\\n\u5c3a\u5bf8\uff1a6'' x 6'' x 18''\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684LED...\n", "25          \u6c34\u6676\u9152\u676f  \u89c4\u683c:\\n\u5bb9\u91cf\uff1a250ml\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684\u6c34\u6676\u9152\u676f\u91c7\u7528\u9ad8\u54c1\u8d28\u6c34\u6676\u73bb\u7483\u5236..."]}, "metadata": {}, "output_type": "display_data"}], "source": ["#\u67e5\u770b\u6570\u636e\n", "import pandas as pd\n", "test_data = pd.read_csv(file,header=None)\n", "test_data"]}, {"cell_type": "code", "execution_count": null, "id": "95890a3b", "metadata": {}, "outputs": [], "source": ["'''\n", "\u5c06\u6307\u5b9a\u5411\u91cf\u5b58\u50a8\u7c7b,\u521b\u5efa\u5b8c\u6210\u540e\uff0c\u6211\u4eec\u5c06\u4ece\u52a0\u8f7d\u5668\u4e2d\u8c03\u7528,\u901a\u8fc7\u6587\u6863\u8bb0\u8f7d\u5668\u5217\u8868\u52a0\u8f7d\n", "'''\n", "index = VectorstoreIndexCreator(\n", "    vectorstore_cls=DocArrayInMemorySearch\n", ").from_loaders([loader])"]}, {"cell_type": "code", "execution_count": null, "id": "f5230594", "metadata": {}, "outputs": [], "source": ["#\u901a\u8fc7\u6307\u5b9a\u8bed\u8a00\u6a21\u578b\u3001\u94fe\u7c7b\u578b\u3001\u68c0\u7d22\u5668\u548c\u6211\u4eec\u8981\u6253\u5370\u7684\u8be6\u7ec6\u7a0b\u5ea6\u6765\u521b\u5efa\u68c0\u7d22QA\u94fe\n", "llm = ChatOpenAI(temperature = 0.0)\n", "qa = RetrievalQA.from_chain_type(\n", "    llm=llm, \n", "    chain_type=\"stuff\", \n", "    retriever=index.vectorstore.as_retriever(), \n", "    verbose=True,\n", "    chain_type_kwargs = {\n", "        \"document_separator\": \"<<<<>>>>>\"\n", "    }\n", ")"]}, {"cell_type": "markdown", "id": "77e98983-3bf8-4a47-86ed-9eff5a52d1fd", "metadata": {}, "source": ["#### \u521b\u5efa\u8bc4\u4f30\u6570\u636e\u70b9\n", "\u6211\u4eec\u9700\u8981\u505a\u7684\u7b2c\u4e00\u4ef6\u4e8b\u662f\u771f\u6b63\u5f04\u6e05\u695a\u6211\u4eec\u60f3\u8981\u8bc4\u4f30\u5b83\u7684\u4e00\u4e9b\u6570\u636e\u70b9\uff0c\u6211\u4eec\u5c06\u4ecb\u7ecd\u51e0\u79cd\u4e0d\u540c\u7684\u65b9\u6cd5\u6765\u5b8c\u6210\u8fd9\u4e2a\u4efb\u52a1\n", "\n", "1\u3001\u5c06\u81ea\u5df1\u60f3\u51fa\u597d\u7684\u6570\u636e\u70b9\u4f5c\u4e3a\u4f8b\u5b50\uff0c\u67e5\u770b\u4e00\u4e9b\u6570\u636e\uff0c\u7136\u540e\u60f3\u51fa\u4f8b\u5b50\u95ee\u9898\u548c\u7b54\u6848\uff0c\u4ee5\u4fbf\u4ee5\u540e\u7528\u4e8e\u8bc4\u4f30"]}, {"cell_type": "code", "execution_count": null, "id": "eae9bd65", "metadata": {}, "outputs": [{"data": {"text/plain": ["Document(page_content=\"product_name: \u9ad8\u6e05\u7535\u89c6\u673a\\ndescription: \u89c4\u683c:\\n\u5c3a\u5bf8\uff1a50''\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684\u9ad8\u6e05\u7535\u89c6\u673a\u62e5\u6709\u51fa\u8272\u7684\u753b\u8d28\u548c\u5f3a\u5927\u7684\u97f3\u6548\uff0c\u5e26\u6765\u6c89\u6d78\u5f0f\u7684\u89c2\u770b\u4f53\u9a8c\u3002\\n\\n\u6750\u8d28\u4e0e\u62a4\u7406:\\n\u4f7f\u7528\u5e72\u5e03\u6e05\u6d01\u3002\\n\\n\u6784\u9020:\\n\u7531\u5851\u6599\u3001\u91d1\u5c5e\u548c\u7535\u5b50\u5143\u4ef6\u5236\u6210\u3002\\n\\n\u5176\u4ed6\u7279\u6027:\\n\u652f\u6301\u7f51\u7edc\u8fde\u63a5\uff0c\u53ef\u4ee5\u5728\u7ebf\u89c2\u770b\u89c6\u9891\u3002\\n\u914d\u5907\u9065\u63a7\u5668\u3002\\n\u5728\u97e9\u56fd\u5236\u9020\u3002\\n\\n\u6709\u95ee\u9898\uff1f\u8bf7\u968f\u65f6\u8054\u7cfb\u6211\u4eec\u7684\u5ba2\u6237\u670d\u52a1\u56e2\u961f\uff0c\u4ed6\u4eec\u4f1a\u89e3\u7b54\u60a8\u7684\u6240\u6709\u95ee\u9898\u3002\", metadata={'source': 'product_data.csv', 'row': 10})"]}, "metadata": {}, "output_type": "display_data"}], "source": ["data[10]#\u67e5\u770b\u8fd9\u91cc\u7684\u4e00\u4e9b\u6587\u6863\uff0c\u6211\u4eec\u53ef\u4ee5\u5bf9\u5176\u4e2d\u53d1\u751f\u7684\u4e8b\u60c5\u6709\u6240\u4e86\u89e3"]}, {"cell_type": "code", "execution_count": null, "id": "5ef28a34", "metadata": {}, "outputs": [{"data": {"text/plain": ["Document(page_content=\"product_name: \u65c5\u884c\u80cc\u5305\\ndescription: \u89c4\u683c:\\n\u5c3a\u5bf8\uff1a18'' x 12'' x 6''\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684\u65c5\u884c\u80cc\u5305\u62e5\u6709\u591a\u4e2a\u5b9e\u7528\u7684\u5185\u5916\u888b\uff0c\u8f7b\u677e\u88c5\u4e0b\u60a8\u7684\u5fc5\u9700\u54c1\uff0c\u662f\u77ed\u9014\u65c5\u884c\u7684\u7406\u60f3\u9009\u62e9\u3002\\n\\n\u6750\u8d28\u4e0e\u62a4\u7406:\\n\u53ef\u4ee5\u624b\u6d17\uff0c\u81ea\u7136\u667e\u5e72\u3002\\n\\n\u6784\u9020:\\n\u7531\u9632\u6c34\u5c3c\u9f99\u5236\u6210\u3002\\n\\n\u5176\u4ed6\u7279\u6027:\\n\u9644\u5e26\u53ef\u8c03\u8282\u80cc\u5e26\u548c\u5b89\u5168\u9501\u3002\\n\u5728\u4e2d\u56fd\u5236\u9020\u3002\\n\\n\u6709\u95ee\u9898\uff1f\u8bf7\u968f\u65f6\u8054\u7cfb\u6211\u4eec\u7684\u5ba2\u6237\u670d\u52a1\u56e2\u961f\uff0c\u4ed6\u4eec\u4f1a\u89e3\u7b54\u60a8\u7684\u6240\u6709\u95ee\u9898\u3002\", metadata={'source': 'product_data.csv', 'row': 11})"]}, "metadata": {}, "output_type": "display_data"}], "source": ["data[11]"]}, {"cell_type": "markdown", "id": "c6166702-b575-4fee-b7fa-270fe6cdeb0b", "metadata": {}, "source": ["\u770b\u4e0a\u9762\u7684\u7b2c\u4e00\u4e2a\u6587\u6863\u4e2d\u6709\u9ad8\u6e05\u7535\u89c6\u673a\uff0c\u7b2c\u4e8c\u4e2a\u6587\u6863\u4e2d\u6709\u65c5\u884c\u80cc\u5305\uff0c\u4ece\u8fd9\u4e9b\u7ec6\u8282\u4e2d\uff0c\u6211\u4eec\u53ef\u4ee5\u521b\u5efa\u4e00\u4e9b\u4f8b\u5b50\u67e5\u8be2\u548c\u7b54\u6848"]}, {"cell_type": "markdown", "id": "0889d24e-fa2d-4c53-baf0-c55ad1c46668", "metadata": {}, "source": ["#### \u521b\u5efa\u6d4b\u8bd5\u7528\u4f8b\u6570\u636e\n"]}, {"cell_type": "code", "execution_count": null, "id": "8936f72d", "metadata": {}, "outputs": [], "source": ["examples = [\n", "    {\n", "        \"query\": \"\u9ad8\u6e05\u7535\u89c6\u673a\u600e\u4e48\u8fdb\u884c\u62a4\u7406\uff1f\",\n", "        \"answer\": \"\u4f7f\u7528\u5e72\u5e03\u6e05\u6d01\u3002\"\n", "    },\n", "    {\n", "        \"query\": \"\u65c5\u884c\u80cc\u5305\u6709\u5185\u5916\u888b\u5417\uff1f\",\n", "        \"answer\": \"\u6709\u3002\"\n", "    }\n", "]"]}, {"cell_type": "markdown", "id": "0ff2e0fd-15e6-4502-930a-57ffb06c5723", "metadata": {}, "source": ["#### \u901a\u8fc7LLM\u751f\u6210\u6d4b\u8bd5\u7528\u4f8b"]}, {"cell_type": "code", "execution_count": null, "id": "d9c7342c", "metadata": {}, "outputs": [], "source": ["from langchain.evaluation.qa import QAGenerateChain #\u5bfc\u5165QA\u751f\u6210\u94fe\uff0c\u5b83\u5c06\u63a5\u6536\u6587\u6863\uff0c\u5e76\u4ece\u6bcf\u4e2a\u6587\u6863\u4e2d\u521b\u5efa\u4e00\u4e2a\u95ee\u9898\u7b54\u6848\u5bf9\n"]}, {"cell_type": "markdown", "id": "f654a5d3-fbc1-427c-b231-d8e93aa10a14", "metadata": {}, "source": ["\u7531\u4e8e`QAGenerateChain`\u7c7b\u4e2d\u4f7f\u7528\u7684`PROMPT`\u662f\u82f1\u6587\uff0c\u6545\u6211\u4eec\u7ee7\u627f`QAGenerateChain`\u7c7b\uff0c\u5c06`PROMPT`\u52a0\u4e0a\u201c\u8bf7\u4f7f\u7528\u4e2d\u6587\u8f93\u51fa\u201d\u3002"]}, {"cell_type": "markdown", "id": "63142d22-04fd-4bf3-b321-8da183c099b3", "metadata": {}, "source": ["\u4e0b\u9762\u662f`generate_chain.py`\u6587\u4ef6\u4e2d\u7684`QAGenerateChain`\u7c7b\u7684\u6e90\u7801"]}, {"cell_type": "code", "execution_count": 35, "id": "0401f602", "metadata": {}, "outputs": [], "source": ["\"\"\"LLM Chain specifically for generating examples for question answering.\"\"\"\n", "from __future__ import annotations\n", "\n", "from typing import Any\n", "\n", "from langchain.base_language import BaseLanguageModel\n", "from langchain.chains.llm import LLMChain\n", "from langchain.evaluation.qa.generate_prompt import PROMPT\n", "\n", "class QAGenerateChain(LLMChain):\n", "    \"\"\"LLM Chain specifically for generating examples for question answering.\"\"\"\n", "\n", "    @classmethod\n", "    def from_llm(cls, llm: BaseLanguageModel, **kwargs: Any) -> QAGenerateChain:\n", "        \"\"\"Load QA Generate Chain from LLM.\"\"\"\n", "        return cls(llm=llm, prompt=PROMPT, **kwargs)"]}, {"cell_type": "code", "execution_count": 36, "id": "9fb1e63e", "metadata": {}, "outputs": [{"data": {"text/plain": ["PromptTemplate(input_variables=['doc'], output_parser=RegexParser(regex='QUESTION: (.*?)\\\\nANSWER: (.*)', output_keys=['query', 'answer'], default_output_key=None), partial_variables={}, template='You are a teacher coming up with questions to ask on a quiz. \\nGiven the following document, please generate a question and answer based on that document.\\n\\nExample Format:\\n<Begin Document>\\n...\\n<End Document>\\nQUESTION: question here\\nANSWER: answer here\\n\\nThese questions should be detailed and be based explicitly on information in the document. Begin!\\n\\n<Begin Document>\\n{doc}\\n<End Document>\\n\u8bf7\u7528\u4e2d\u6587\u3002', template_format='f-string', validate_template=True)"]}, "execution_count": 36, "metadata": {}, "output_type": "execute_result"}], "source": ["PROMPT"]}, {"cell_type": "markdown", "id": "be0ac6b7-0bc5-4f10-a160-a98fb69f1953", "metadata": {}, "source": ["\u6211\u4eec\u53ef\u4ee5\u770b\u5230`PROMPT`\u4e3a\u82f1\u6587\uff0c\u4e0b\u9762\u6211\u4eec\u5c06`PROMPT`\u6dfb\u52a0\u4e0a\u201c\u8bf7\u4f7f\u7528\u4e2d\u6587\u8f93\u51fa\u201d"]}, {"cell_type": "code", "execution_count": 43, "id": "a33dc3af", "metadata": {}, "outputs": [{"data": {"text/plain": ["PromptTemplate(input_variables=['doc'], output_parser=RegexParser(regex='QUESTION: (.*?)\\\\nANSWER: (.*)', output_keys=['query', 'answer'], default_output_key=None), partial_variables={}, template='You are a teacher coming up with questions to ask on a quiz. \\nGiven the following document, please generate a question and answer based on that document.\\n\\nExample Format:\\n<Begin Document>\\n...\\n<End Document>\\nQUESTION: question here\\nANSWER: answer here\\n\\nThese questions should be detailed and be based explicitly on information in the document. Begin!\\n\\n<Begin Document>\\n{doc}\\n<End Document>\\n\u8bf7\u4f7f\u7528\u4e2d\u6587\u8f93\u51fa\u3002\\n', template_format='f-string', validate_template=True)"]}, "execution_count": 43, "metadata": {}, "output_type": "execute_result"}], "source": ["# \u4e0b\u9762\u662flangchain.evaluation.qa.generate_prompt\u4e2d\u7684\u6e90\u7801\uff0c\u6211\u4eec\u5728template\u7684\u6700\u540e\u52a0\u4e0a\u201c\u8bf7\u4f7f\u7528\u4e2d\u6587\u8f93\u51fa\u201d\n", "# flake8: noqa\n", "from langchain.output_parsers.regex import RegexParser\n", "from langchain.prompts import PromptTemplate\n", "\n", "template = \"\"\"You are a teacher coming up with questions to ask on a quiz. \n", "Given the following document, please generate a question and answer based on that document.\n", "\n", "Example Format:\n", "<Begin Document>\n", "...\n", "<End Document>\n", "QUESTION: question here\n", "ANSWER: answer here\n", "\n", "These questions should be detailed and be based explicitly on information in the document. Begin!\n", "\n", "<Begin Document>\n", "{doc}\n", "<End Document>\n", "\u8bf7\u4f7f\u7528\u4e2d\u6587\u8f93\u51fa\u3002\n", "\"\"\"\n", "output_parser = RegexParser(\n", "    regex=r\"QUESTION: (.*?)\\nANSWER: (.*)\", output_keys=[\"query\", \"answer\"]\n", ")\n", "PROMPT = PromptTemplate(\n", "    input_variables=[\"doc\"], template=template, output_parser=output_parser\n", ")\n", "\n", "PROMPT\n"]}, {"cell_type": "code", "execution_count": 39, "id": "82ec0488", "metadata": {}, "outputs": [], "source": ["# \u7ee7\u627fQAGenerateChain\n", "class MyQAGenerateChain(QAGenerateChain):\n", "    \"\"\"LLM Chain specifically for generating examples for question answering.\"\"\"\n", "\n", "    @classmethod\n", "    def from_llm(cls, llm: BaseLanguageModel, **kwargs: Any) -> QAGenerateChain:\n", "        \"\"\"Load QA Generate Chain from LLM.\"\"\"\n", "        return cls(llm=llm, prompt=PROMPT, **kwargs)"]}, {"cell_type": "code", "execution_count": 40, "id": "8dfc4372", "metadata": {}, "outputs": [], "source": ["example_gen_chain = MyQAGenerateChain.from_llm(ChatOpenAI())#\u901a\u8fc7\u4f20\u9012chat open AI\u8bed\u8a00\u6a21\u578b\u6765\u521b\u5efa\u8fd9\u4e2a\u94fe"]}, {"cell_type": "code", "execution_count": 41, "id": "d25c6a0e", "metadata": {}, "outputs": [{"data": {"text/plain": ["[Document(page_content=\"product_name: \u5168\u81ea\u52a8\u5496\u5561\u673a\\ndescription: \u89c4\u683c:\\n\u5927\u578b - \u5c3a\u5bf8\uff1a13.8'' x 17.3''\u3002\\n\u4e2d\u578b - \u5c3a\u5bf8\uff1a11.5'' x 15.2''\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u8fd9\u6b3e\u5168\u81ea\u52a8\u5496\u5561\u673a\u662f\u7231\u597d\u8005\u7684\u7406\u60f3\u9009\u62e9\u3002 \u4e00\u952e\u64cd\u4f5c\uff0c\u5373\u53ef\u7814\u78e8\u8c46\u5b50\u5e76\u6c8f\u5236\u51fa\u60a8\u559c\u7231\u7684\u5496\u5561\u3002\u5b83\u7684\u8010\u7528\u6027\u548c\u4e00\u81f4\u6027\u4f7f\u5b83\u6210\u4e3a\u5bb6\u5ead\u548c\u529e\u516c\u5ba4\u7684\u7406\u60f3\u9009\u62e9\u3002\\n\\n\u6750\u8d28\u4e0e\u62a4\u7406:\\n\u6e05\u6d01\u65f6\u53ea\u9700\u8f7b\u64e6\u3002\\n\\n\u6784\u9020:\\n\u7531\u9ad8\u54c1\u8d28\u4e0d\u9508\u94a2\u5236\u6210\u3002\\n\\n\u5176\u4ed6\u7279\u6027:\\n\u5185\u7f6e\u7814\u78e8\u5668\u548c\u6ee4\u7f51\u3002\\n\u9884\u8bbe\u591a\u79cd\u5496\u5561\u6a21\u5f0f\u3002\\n\u5728\u4e2d\u56fd\u5236\u9020\u3002\\n\\n\u6709\u95ee\u9898\uff1f \u8bf7\u968f\u65f6\u8054\u7cfb\u6211\u4eec\u7684\u5ba2\u6237\u670d\u52a1\u56e2\u961f\uff0c\u4ed6\u4eec\u4f1a\u89e3\u7b54\u60a8\u7684\u6240\u6709\u95ee\u9898\u3002\", metadata={'source': 'product_data.csv', 'row': 0}),\n", " Document(page_content=\"product_name: \u7535\u52a8\u7259\u5237\\ndescription: \u89c4\u683c:\\n\u4e00\u822c\u5927\u5c0f - \u9ad8\u5ea6\uff1a9.5''\uff0c\u5bbd\u5ea6\uff1a1''\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684\u7535\u52a8\u7259\u5237\u91c7\u7528\u5148\u8fdb\u7684\u5237\u5934\u8bbe\u8ba1\u548c\u5f3a\u5927\u7684\u7535\u673a\uff0c\u4e3a\u60a8\u63d0\u4f9b\u8d85\u51e1\u7684\u6e05\u6d01\u529b\u548c\u8212\u9002\u7684\u5237\u7259\u4f53\u9a8c\u3002\\n\\n\u6750\u8d28\u4e0e\u62a4\u7406:\\n\u4e0d\u53ef\u6c34\u6d17\uff0c\u53ea\u9700\u7528\u6e7f\u5e03\u6e05\u6d01\u3002\\n\\n\u6784\u9020:\\n\u7531\u98df\u54c1\u7ea7\u5851\u6599\u548c\u5c3c\u9f99\u5237\u6bdb\u5236\u6210\u3002\\n\\n\u5176\u4ed6\u7279\u6027:\\n\u5177\u6709\u591a\u79cd\u6e05\u6d01\u6a21\u5f0f\u548c\u5b9a\u65f6\u529f\u80fd\u3002\\nUSB\u5145\u7535\u3002\\n\u5728\u65e5\u672c\u5236\u9020\u3002\\n\\n\u6709\u95ee\u9898\uff1f\u8bf7\u968f\u65f6\u8054\u7cfb\u6211\u4eec\u7684\u5ba2\u6237\u670d\u52a1\u56e2\u961f\uff0c\u4ed6\u4eec\u4f1a\u89e3\u7b54\u60a8\u7684\u6240\u6709\u95ee\u9898\u3002\", metadata={'source': 'product_data.csv', 'row': 1}),\n", " Document(page_content='product_name: \u6a59\u5473\u7ef4\u751f\u7d20C\u6ce1\u817e\u7247\\ndescription: 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metadata={'source': 'product_data.csv', 'row': 2}),\n", " Document(page_content=\"product_name: \u65e0\u7ebf\u84dd\u7259\u8033\u673a\\ndescription: \u89c4\u683c:\\n\u5355\u4e2a\u8033\u673a\u5c3a\u5bf8\uff1a1.5'' x 1.3''\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u8fd9\u6b3e\u65e0\u7ebf\u84dd\u7259\u8033\u673a\u914d\u5907\u4e86\u964d\u566a\u6280\u672f\u548c\u957f\u8fbe8\u5c0f\u65f6\u7684\u7535\u6c60\u7eed\u822a\u529b\uff0c\u8ba9\u60a8\u65e0\u8bba\u5728\u54ea\u91cc\u90fd\u53ef\u4ee5\u4eab\u53d7\u65e0\u969c\u788d\u7684\u97f3\u4e50\u4f53\u9a8c\u3002\\n\\n\u6750\u8d28\u4e0e\u62a4\u7406:\\n\u53ea\u9700\u7528\u6e7f\u5e03\u6e05\u6d01\u3002\\n\\n\u6784\u9020:\\n\u7531\u8010\u7528\u7684\u5851\u6599\u548c\u91d1\u5c5e\u6784\u6210\uff0c\u914d\u5907\u6709\u8f6f\u8d28\u8033\u585e\u3002\\n\\n\u5176\u4ed6\u7279\u6027:\\n\u5feb\u901f\u5145\u7535\u529f\u80fd\u3002\\n\u5185\u7f6e\u9ea6\u514b\u98ce\uff0c\u652f\u6301\u63a5\u542c\u7535\u8bdd\u3002\\n\u5728\u97e9\u56fd\u5236\u9020\u3002\\n\\n\u6709\u95ee\u9898\uff1f\u8bf7\u968f\u65f6\u8054\u7cfb\u6211\u4eec\u7684\u5ba2\u6237\u670d\u52a1\u56e2\u961f\uff0c\u4ed6\u4eec\u4f1a\u89e3\u7b54\u60a8\u7684\u6240\u6709\u95ee\u9898\u3002\", metadata={'source': 'product_data.csv', 'row': 3}),\n", " Document(page_content=\"product_name: \u745c\u4f3d\u57ab\\ndescription: \u89c4\u683c:\\n\u5c3a\u5bf8\uff1a24'' x 68''\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684\u745c\u4f3d\u57ab\u62e5\u6709\u51fa\u8272\u7684\u6293\u5730\u529b\u548c\u8212\u9002\u5ea6\uff0c\u65e0\u8bba\u662f\u505a\u745c\u4f3d\u8fd8\u662f\u5065\u8eab\uff0c\u90fd\u662f\u7406\u60f3\u7684\u9009\u62e9\u3002\\n\\n\u6750\u8d28\u4e0e\u62a4\u7406:\\n\u53ef\u7528\u6e05\u6c34\u6e05\u6d01\uff0c\u81ea\u7136\u667e\u5e72\u3002\\n\\n\u6784\u9020:\\n\u7531\u73af\u4fddPVC\u6750\u6599\u5236\u6210\u3002\\n\\n\u5176\u4ed6\u7279\u6027:\\n\u9644\u5e26\u4fbf\u643a\u5305\u548c\u7ed1\u5e26\u3002\\n\u5728\u5370\u5ea6\u5236\u9020\u3002\\n\\n\u6709\u95ee\u9898\uff1f\u8bf7\u968f\u65f6\u8054\u7cfb\u6211\u4eec\u7684\u5ba2\u6237\u670d\u52a1\u56e2\u961f\uff0c\u4ed6\u4eec\u4f1a\u89e3\u7b54\u60a8\u7684\u6240\u6709\u95ee\u9898\u3002\", metadata={'source': 'product_data.csv', 'row': 4})]"]}, "execution_count": 41, "metadata": {}, "output_type": "execute_result"}], "source": ["data[:5]"]}, {"cell_type": "code", "execution_count": 42, "id": "ef0f5cad", "metadata": {}, "outputs": [{"name": "stderr", "output_type": "stream", "text": ["d:\\anaconda3\\envs\\gpt_flask\\lib\\site-packages\\langchain\\chains\\llm.py:303: UserWarning: The apply_and_parse method is deprecated, instead pass an output parser directly to LLMChain.\n", "  warnings.warn(\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 1.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 2.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 4.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 8.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n"]}], "source": ["new_examples = example_gen_chain.apply_and_parse(\n", "    [{\"doc\": t} for t in data[:5]]\n", ") #\u6211\u4eec\u53ef\u4ee5\u521b\u5efa\u8bb8\u591a\u4f8b\u5b50"]}, {"cell_type": "code", "execution_count": 44, "id": "7bc64a85", "metadata": {}, "outputs": [{"data": {"text/plain": ["[{'query': '\u8fd9\u6b3e\u5168\u81ea\u52a8\u5496\u5561\u673a\u7684\u89c4\u683c\u662f\u4ec0\u4e48\uff1f',\n", "  'answer': \"\u5927\u578b\u5c3a\u5bf8\u4e3a13.8'' x 17.3''\uff0c\u4e2d\u578b\u5c3a\u5bf8\u4e3a11.5'' x 15.2''\u3002\"},\n", " {'query': '\u8fd9\u6b3e\u7535\u52a8\u7259\u5237\u7684\u9ad8\u5ea6\u548c\u5bbd\u5ea6\u5206\u522b\u662f\u591a\u5c11\uff1f', 'answer': '\u8fd9\u6b3e\u7535\u52a8\u7259\u5237\u7684\u9ad8\u5ea6\u662f9.5\u82f1\u5bf8\uff0c\u5bbd\u5ea6\u662f1\u82f1\u5bf8\u3002'},\n", " {'query': '\u8fd9\u6b3e\u6a59\u5473\u7ef4\u751f\u7d20C\u6ce1\u817e\u7247\u7684\u89c4\u683c\u662f\u4ec0\u4e48\uff1f', 'answer': '\u6bcf\u76d2\u542b\u670920\u7247\u3002'},\n", " {'query': '\u8fd9\u6b3e\u65e0\u7ebf\u84dd\u7259\u8033\u673a\u7684\u5c3a\u5bf8\u662f\u591a\u5c11\uff1f', 'answer': \"\u8fd9\u6b3e\u65e0\u7ebf\u84dd\u7259\u8033\u673a\u7684\u5c3a\u5bf8\u662f1.5'' x 1.3''\u3002\"},\n", " {'query': '\u8fd9\u6b3e\u745c\u4f3d\u57ab\u7684\u5c3a\u5bf8\u662f\u591a\u5c11\uff1f', 'answer': \"\u8fd9\u6b3e\u745c\u4f3d\u57ab\u7684\u5c3a\u5bf8\u662f24'' x 68''\u3002\"}]"]}, "execution_count": 44, "metadata": {}, "output_type": "execute_result"}], "source": ["new_examples #\u67e5\u770b\u7528\u4f8b\u6570\u636e"]}, {"cell_type": "code", "execution_count": 46, "id": "1e6b2fe4", "metadata": {}, "outputs": [{"data": {"text/plain": ["{'query': '\u8fd9\u6b3e\u5168\u81ea\u52a8\u5496\u5561\u673a\u7684\u89c4\u683c\u662f\u4ec0\u4e48\uff1f',\n", " 'answer': \"\u5927\u578b\u5c3a\u5bf8\u4e3a13.8'' x 17.3''\uff0c\u4e2d\u578b\u5c3a\u5bf8\u4e3a11.5'' x 15.2''\u3002\"}"]}, "execution_count": 46, "metadata": {}, "output_type": "execute_result"}], "source": ["new_examples[0]"]}, {"cell_type": "code", "execution_count": 47, "id": "7ec72577", "metadata": {}, "outputs": [{"data": {"text/plain": ["Document(page_content=\"product_name: \u5168\u81ea\u52a8\u5496\u5561\u673a\\ndescription: \u89c4\u683c:\\n\u5927\u578b - \u5c3a\u5bf8\uff1a13.8'' x 17.3''\u3002\\n\u4e2d\u578b - \u5c3a\u5bf8\uff1a11.5'' x 15.2''\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u8fd9\u6b3e\u5168\u81ea\u52a8\u5496\u5561\u673a\u662f\u7231\u597d\u8005\u7684\u7406\u60f3\u9009\u62e9\u3002 \u4e00\u952e\u64cd\u4f5c\uff0c\u5373\u53ef\u7814\u78e8\u8c46\u5b50\u5e76\u6c8f\u5236\u51fa\u60a8\u559c\u7231\u7684\u5496\u5561\u3002\u5b83\u7684\u8010\u7528\u6027\u548c\u4e00\u81f4\u6027\u4f7f\u5b83\u6210\u4e3a\u5bb6\u5ead\u548c\u529e\u516c\u5ba4\u7684\u7406\u60f3\u9009\u62e9\u3002\\n\\n\u6750\u8d28\u4e0e\u62a4\u7406:\\n\u6e05\u6d01\u65f6\u53ea\u9700\u8f7b\u64e6\u3002\\n\\n\u6784\u9020:\\n\u7531\u9ad8\u54c1\u8d28\u4e0d\u9508\u94a2\u5236\u6210\u3002\\n\\n\u5176\u4ed6\u7279\u6027:\\n\u5185\u7f6e\u7814\u78e8\u5668\u548c\u6ee4\u7f51\u3002\\n\u9884\u8bbe\u591a\u79cd\u5496\u5561\u6a21\u5f0f\u3002\\n\u5728\u4e2d\u56fd\u5236\u9020\u3002\\n\\n\u6709\u95ee\u9898\uff1f \u8bf7\u968f\u65f6\u8054\u7cfb\u6211\u4eec\u7684\u5ba2\u6237\u670d\u52a1\u56e2\u961f\uff0c\u4ed6\u4eec\u4f1a\u89e3\u7b54\u60a8\u7684\u6240\u6709\u95ee\u9898\u3002\", metadata={'source': 'product_data.csv', 'row': 0})"]}, "execution_count": 47, "metadata": {}, "output_type": "execute_result"}], "source": ["data[0]"]}, {"cell_type": "markdown", "id": "e6cb8f71-4720-4d98-8921-1e25022d5375", "metadata": {}, "source": ["#### \u7ec4\u5408\u7528\u4f8b\u6570\u636e"]}, {"cell_type": "code", "execution_count": 48, "id": "c0636823", "metadata": {}, "outputs": [], "source": ["examples += new_examples"]}, {"cell_type": "code", "execution_count": 49, "id": "8d33b5de", "metadata": {}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["\n", "\n", "\u001b[1m> Entering new  chain...\u001b[0m\n", "\n", "\u001b[1m> Finished chain.\u001b[0m\n"]}, {"data": {"text/plain": ["'\u9ad8\u6e05\u7535\u89c6\u673a\u7684\u62a4\u7406\u975e\u5e38\u7b80\u5355\u3002\u60a8\u53ea\u9700\u8981\u4f7f\u7528\u5e72\u5e03\u6e05\u6d01\u5373\u53ef\u3002\u907f\u514d\u4f7f\u7528\u6e7f\u5e03\u6216\u5316\u5b66\u6e05\u6d01\u5242\uff0c\u4ee5\u514d\u635f\u574f\u7535\u89c6\u673a\u7684\u8868\u9762\u3002'"]}, "execution_count": 49, "metadata": {}, "output_type": "execute_result"}], "source": ["qa.run(examples[0][\"query\"])"]}, {"cell_type": "markdown", "id": "63f3cb08", "metadata": {}, "source": ["## \u4e09\u3001 \u4eba\u5de5\u8bc4\u4f30\n", "\u73b0\u5728\u6709\u4e86\u8fd9\u4e9b\u793a\u4f8b\uff0c\u4f46\u662f\u6211\u4eec\u5982\u4f55\u8bc4\u4f30\u6b63\u5728\u53d1\u751f\u7684\u4e8b\u60c5\u5462\uff1f\n", "\u901a\u8fc7\u8fd0\u884c\u4e00\u4e2a\u793a\u4f8b\u901a\u8fc7\u94fe\uff0c\u5e76\u67e5\u770b\u5b83\u4ea7\u751f\u7684\u8f93\u51fa\n", "\u5728\u8fd9\u91cc\u6211\u4eec\u4f20\u9012\u4e00\u4e2a\u67e5\u8be2\uff0c\u7136\u540e\u6211\u4eec\u5f97\u5230\u4e00\u4e2a\u7b54\u6848\u3002\u5b9e\u9645\u4e0a\u6b63\u5728\u53d1\u751f\u7684\u4e8b\u60c5\uff0c\u8fdb\u5165\u8bed\u8a00\u6a21\u578b\u7684\u5b9e\u9645\u63d0\u793a\u662f\u4ec0\u4e48\uff1f   \n", "\u5b83\u68c0\u7d22\u7684\u6587\u6863\u662f\u4ec0\u4e48\uff1f   \n", "\u4e2d\u95f4\u7ed3\u679c\u662f\u4ec0\u4e48\uff1f    \n", "\u4ec5\u4ec5\u67e5\u770b\u6700\u7ec8\u7b54\u6848\u901a\u5e38\u4e0d\u8db3\u4ee5\u4e86\u89e3\u94fe\u4e2d\u51fa\u73b0\u4e86\u4ec0\u4e48\u95ee\u9898\u6216\u53ef\u80fd\u51fa\u73b0\u4e86\u4ec0\u4e48\u95ee\u9898"]}, {"cell_type": "code", "execution_count": 21, "id": "fcaf622e", "metadata": {"height": 47}, "outputs": [], "source": ["''' \n", "LingChainDebug\u5de5\u5177\u53ef\u4ee5\u4e86\u89e3\u8fd0\u884c\u4e00\u4e2a\u5b9e\u4f8b\u901a\u8fc7\u94fe\u4e2d\u95f4\u6240\u7ecf\u5386\u7684\u6b65\u9aa4\n", "'''\n", "import langchain\n", "langchain.debug = True"]}, {"cell_type": "code", "execution_count": 22, "id": "1e1deab0", "metadata": {}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["\u001b[32;1m\u001b[1;3m[chain/start]\u001b[0m \u001b[1m[1:chain:RetrievalQA] Entering Chain run with input:\n", "\u001b[0m{\n", "  \"query\": \"Do the Cozy Comfort Pullover Set        have side pockets?\"\n", "}\n", "\u001b[32;1m\u001b[1;3m[chain/start]\u001b[0m \u001b[1m[1:chain:RetrievalQA > 2:chain:StuffDocumentsChain] Entering Chain run with input:\n", "\u001b[0m[inputs]\n", "\u001b[32;1m\u001b[1;3m[chain/start]\u001b[0m \u001b[1m[1:chain:RetrievalQA > 2:chain:StuffDocumentsChain > 3:chain:LLMChain] Entering Chain run with input:\n", "\u001b[0m{\n", "  \"question\": \"Do the Cozy Comfort Pullover Set        have side pockets?\",\n", "  \"context\": \": 10\\nname: Cozy Comfort Pullover Set, Stripe\\ndescription: Perfect for lounging, this striped knit set lives up to its name. We used ultrasoft fabric and an easy design that's as comfortable at bedtime as it is when we have to make a quick run out.\\r\\n\\r\\nSize & Fit\\r\\n- Pants are Favorite Fit: Sits lower on the waist.\\r\\n- Relaxed Fit: Our most generous fit sits farthest from the body.\\r\\n\\r\\nFabric & Care\\r\\n- In the softest blend of 63% polyester, 35% rayon and 2% spandex.\\r\\n\\r\\nAdditional Features\\r\\n- Relaxed fit top with raglan sleeves and rounded hem.\\r\\n- Pull-on pants have a wide elastic waistband and drawstring, side pockets and a modern slim leg.\\r\\n\\r\\nImported.<<<<>>>>>: 73\\nname: Cozy Cuddles Knit Pullover Set\\ndescription: Perfect for lounging, this knit set lives up to its name. We used ultrasoft fabric and an easy design that's as comfortable at bedtime as it is when we have to make a quick run out. \\r\\n\\r\\nSize & Fit \\r\\nPants are Favorite Fit: Sits lower on the waist. \\r\\nRelaxed Fit: Our most generous fit sits farthest from the body. \\r\\n\\r\\nFabric & Care \\r\\nIn the softest blend of 63% polyester, 35% rayon and 2% spandex.\\r\\n\\r\\nAdditional Features \\r\\nRelaxed fit top with raglan sleeves and rounded hem. \\r\\nPull-on pants have a wide elastic waistband and drawstring, side pockets and a modern slim leg. \\r\\nImported.<<<<>>>>>: 632\\nname: Cozy Comfort Fleece Pullover\\ndescription: The ultimate sweater fleece \u2013 made from superior fabric and offered at an unbeatable price. \\r\\n\\r\\nSize & Fit\\r\\nSlightly Fitted: Softly shapes the body. Falls at hip. \\r\\n\\r\\nWhy We Love It\\r\\nOur customers (and employees) love the rugged construction and heritage-inspired styling of our popular Sweater Fleece Pullover and wear it for absolutely everything. From high-intensity activities to everyday tasks, you'll find yourself reaching for it every time.\\r\\n\\r\\nFabric & Care\\r\\nRugged sweater-knit exterior and soft brushed interior for exceptional warmth and comfort. Made from soft, 100% polyester. Machine wash and dry.\\r\\n\\r\\nAdditional Features\\r\\nFeatures our classic Mount Katahdin logo. Snap placket. Front princess seams create a feminine shape. Kangaroo handwarmer pockets. Cuffs and hem reinforced with jersey binding. Imported.\\r\\n\\r\\n \u2013 Official Supplier to the U.S. Ski Team\\r\\nTHEIR WILL TO WIN, WOVEN RIGHT IN. LEARN MORE<<<<>>>>>: 265\\nname: Cozy Workout Vest\\ndescription: For serious warmth that won't weigh you down, reach for this fleece-lined vest, which provides you with layering options whether you're inside or outdoors.\\r\\nSize & Fit\\r\\nRelaxed Fit. Falls at hip.\\r\\nFabric & Care\\r\\nSoft, textured fleece lining. Nylon shell. Machine wash and dry. \\r\\nAdditional Features \\r\\nTwo handwarmer pockets. Knit side panels stretch for a more flattering fit. Shell fabric is treated to resist water and stains. Imported.\"\n", "}\n", "\u001b[32;1m\u001b[1;3m[llm/start]\u001b[0m \u001b[1m[1:chain:RetrievalQA > 2:chain:StuffDocumentsChain > 3:chain:LLMChain > 4:llm:ChatOpenAI] Entering LLM run with input:\n", "\u001b[0m{\n", "  \"prompts\": [\n", "    \"System: Use the following pieces of context to answer the users question. \\nIf you don't know the answer, just say that you don't know, don't try to make up an answer.\\n----------------\\n: 10\\nname: Cozy Comfort Pullover Set, Stripe\\ndescription: Perfect for lounging, this striped knit set lives up to its name. We used ultrasoft fabric and an easy design that's as comfortable at bedtime as it is when we have to make a quick run out.\\r\\n\\r\\nSize & Fit\\r\\n- Pants are Favorite Fit: Sits lower on the waist.\\r\\n- Relaxed Fit: Our most generous fit sits farthest from the body.\\r\\n\\r\\nFabric & Care\\r\\n- In the softest blend of 63% polyester, 35% rayon and 2% spandex.\\r\\n\\r\\nAdditional Features\\r\\n- Relaxed fit top with raglan sleeves and rounded hem.\\r\\n- Pull-on pants have a wide elastic waistband and drawstring, side pockets and a modern slim leg.\\r\\n\\r\\nImported.<<<<>>>>>: 73\\nname: Cozy Cuddles Knit Pullover Set\\ndescription: Perfect for lounging, this knit set lives up to its name. We used ultrasoft fabric and an easy design that's as comfortable at bedtime as it is when we have to make a quick run out. \\r\\n\\r\\nSize & Fit \\r\\nPants are Favorite Fit: Sits lower on the waist. \\r\\nRelaxed Fit: Our most generous fit sits farthest from the body. \\r\\n\\r\\nFabric & Care \\r\\nIn the softest blend of 63% polyester, 35% rayon and 2% spandex.\\r\\n\\r\\nAdditional Features \\r\\nRelaxed fit top with raglan sleeves and rounded hem. \\r\\nPull-on pants have a wide elastic waistband and drawstring, side pockets and a modern slim leg. \\r\\nImported.<<<<>>>>>: 632\\nname: Cozy Comfort Fleece Pullover\\ndescription: The ultimate sweater fleece \u2013 made from superior fabric and offered at an unbeatable price. \\r\\n\\r\\nSize & Fit\\r\\nSlightly Fitted: Softly shapes the body. Falls at hip. \\r\\n\\r\\nWhy We Love It\\r\\nOur customers (and employees) love the rugged construction and heritage-inspired styling of our popular Sweater Fleece Pullover and wear it for absolutely everything. From high-intensity activities to everyday tasks, you'll find yourself reaching for it every time.\\r\\n\\r\\nFabric & Care\\r\\nRugged sweater-knit exterior and soft brushed interior for exceptional warmth and comfort. Made from soft, 100% polyester. Machine wash and dry.\\r\\n\\r\\nAdditional Features\\r\\nFeatures our classic Mount Katahdin logo. Snap placket. Front princess seams create a feminine shape. Kangaroo handwarmer pockets. Cuffs and hem reinforced with jersey binding. Imported.\\r\\n\\r\\n \u2013 Official Supplier to the U.S. Ski Team\\r\\nTHEIR WILL TO WIN, WOVEN RIGHT IN. LEARN MORE<<<<>>>>>: 265\\nname: Cozy Workout Vest\\ndescription: For serious warmth that won't weigh you down, reach for this fleece-lined vest, which provides you with layering options whether you're inside or outdoors.\\r\\nSize & Fit\\r\\nRelaxed Fit. Falls at hip.\\r\\nFabric & Care\\r\\nSoft, textured fleece lining. Nylon shell. Machine wash and dry. \\r\\nAdditional Features \\r\\nTwo handwarmer pockets. Knit side panels stretch for a more flattering fit. Shell fabric is treated to resist water and stains. Imported.\\nHuman: Do the Cozy Comfort Pullover Set        have side pockets?\"\n", "  ]\n", "}\n", "\u001b[36;1m\u001b[1;3m[llm/end]\u001b[0m \u001b[1m[1:chain:RetrievalQA > 2:chain:StuffDocumentsChain > 3:chain:LLMChain > 4:llm:ChatOpenAI] [2.29s] Exiting LLM run with output:\n", "\u001b[0m{\n", "  \"generations\": [\n", "    [\n", "      {\n", "        \"text\": \"Yes, the Cozy Comfort Pullover Set does have side pockets.\",\n", "        \"generation_info\": null,\n", "        \"message\": {\n", "          \"content\": \"Yes, the Cozy Comfort Pullover Set does have side pockets.\",\n", "          \"additional_kwargs\": {},\n", "          \"example\": false\n", "        }\n", "      }\n", "    ]\n", "  ],\n", "  \"llm_output\": {\n", "    \"token_usage\": {\n", "      \"prompt_tokens\": 717,\n", "      \"completion_tokens\": 14,\n", "      \"total_tokens\": 731\n", "    },\n", "    \"model_name\": \"gpt-3.5-turbo\"\n", "  },\n", "  \"run\": null\n", "}\n", "\u001b[36;1m\u001b[1;3m[chain/end]\u001b[0m \u001b[1m[1:chain:RetrievalQA > 2:chain:StuffDocumentsChain > 3:chain:LLMChain] [2.29s] Exiting Chain run with output:\n", "\u001b[0m{\n", "  \"text\": \"Yes, the Cozy Comfort Pullover Set does have side pockets.\"\n", "}\n", "\u001b[36;1m\u001b[1;3m[chain/end]\u001b[0m \u001b[1m[1:chain:RetrievalQA > 2:chain:StuffDocumentsChain] [2.29s] Exiting Chain run with output:\n", "\u001b[0m{\n", "  \"output_text\": \"Yes, the Cozy Comfort Pullover Set does have side pockets.\"\n", "}\n", "\u001b[36;1m\u001b[1;3m[chain/end]\u001b[0m \u001b[1m[1:chain:RetrievalQA] [2.93s] Exiting Chain run with output:\n", "\u001b[0m{\n", "  \"result\": \"Yes, the Cozy Comfort Pullover Set does have side pockets.\"\n", "}\n"]}, {"data": {"text/plain": ["'Yes, the Cozy Comfort Pullover Set does have side pockets.'"]}, "execution_count": 22, "metadata": {}, "output_type": "execute_result"}], "source": ["qa.run(examples[0][\"query\"])#\u91cd\u65b0\u8fd0\u884c\u4e0e\u4e0a\u9762\u76f8\u540c\u7684\u793a\u4f8b\uff0c\u53ef\u4ee5\u770b\u5230\u5b83\u5f00\u59cb\u6253\u5370\u51fa\u66f4\u591a\u7684\u4fe1\u606f"]}, {"cell_type": "markdown", "id": "8dee0f24", "metadata": {}, "source": ["\u6211\u4eec\u53ef\u4ee5\u770b\u5230\u5b83\u9996\u5148\u6df1\u5165\u5230\u68c0\u7d22QA\u94fe\u4e2d\uff0c\u7136\u540e\u5b83\u8fdb\u5165\u4e86\u4e00\u4e9b\u6587\u6863\u94fe\u3002\u5982\u4e0a\u6240\u8ff0\uff0c\u6211\u4eec\u6b63\u5728\u4f7f\u7528stuff\u65b9\u6cd5\uff0c\u73b0\u5728\u6211\u4eec\u6b63\u5728\u4f20\u9012\u8fd9\u4e2a\u4e0a\u4e0b\u6587\uff0c\u53ef\u4ee5\u770b\u5230\uff0c\u8fd9\u4e2a\u4e0a\u4e0b\u6587\u662f\u7531\u6211\u4eec\u68c0\u7d22\u5230\u7684\u4e0d\u540c\u6587\u6863\u521b\u5efa\u7684\u3002\u56e0\u6b64\uff0c\u5728\u8fdb\u884c\u95ee\u7b54\u65f6\uff0c\u5f53\u8fd4\u56de\u9519\u8bef\u7ed3\u679c\u65f6\uff0c\u901a\u5e38\u4e0d\u662f\u8bed\u8a00\u6a21\u578b\u672c\u8eab\u51fa\u9519\u4e86\uff0c\u5b9e\u9645\u4e0a\u662f\u68c0\u7d22\u6b65\u9aa4\u51fa\u9519\u4e86\uff0c\u4ed4\u7ec6\u67e5\u770b\u95ee\u9898\u7684\u786e\u5207\u5185\u5bb9\u548c\u4e0a\u4e0b\u6587\u53ef\u4ee5\u5e2e\u52a9\u8c03\u8bd5\u51fa\u9519\u7684\u539f\u56e0\u3002    \n", "\u7136\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u518d\u5411\u4e0b\u4e00\u7ea7\uff0c\u770b\u770b\u8fdb\u5165\u8bed\u8a00\u6a21\u578b\u7684\u786e\u5207\u5185\u5bb9\uff0c\u4ee5\u53ca OpenAI \u81ea\u8eab\uff0c\u5728\u8fd9\u91cc\uff0c\u6211\u4eec\u53ef\u4ee5\u770b\u5230\u4f20\u9012\u7684\u5b8c\u6574\u63d0\u793a\uff0c\u6211\u4eec\u6709\u4e00\u4e2a\u7cfb\u7edf\u6d88\u606f\uff0c\u6709\u6240\u4f7f\u7528\u7684\u63d0\u793a\u7684\u63cf\u8ff0\uff0c\u8fd9\u662f\u95ee\u9898\u56de\u7b54\u94fe\u4f7f\u7528\u7684\u63d0\u793a\uff0c\u6211\u4eec\u53ef\u4ee5\u770b\u5230\u63d0\u793a\u6253\u5370\u51fa\u6765\uff0c\u4f7f\u7528\u4ee5\u4e0b\u4e0a\u4e0b\u6587\u7247\u6bb5\u56de\u7b54\u7528\u6237\u7684\u95ee\u9898\u3002\n", "\u5982\u679c\u60a8\u4e0d\u77e5\u9053\u7b54\u6848\uff0c\u53ea\u9700\u8bf4\u60a8\u4e0d\u77e5\u9053\u5373\u53ef\uff0c\u4e0d\u8981\u8bd5\u56fe\u7f16\u9020\u7b54\u6848\u3002\u7136\u540e\u6211\u4eec\u770b\u5230\u4e00\u5806\u4e4b\u524d\u63d2\u5165\u7684\u4e0a\u4e0b\u6587\uff0c\u6211\u4eec\u8fd8\u53ef\u4ee5\u770b\u5230\u6709\u5173\u5b9e\u9645\u8fd4\u56de\u7c7b\u578b\u7684\u66f4\u591a\u4fe1\u606f\u3002\u6211\u4eec\u4e0d\u4ec5\u4ec5\u8fd4\u56de\u4e00\u4e2a\u7b54\u6848\uff0c\u8fd8\u6709token\u7684\u4f7f\u7528\u60c5\u51b5\uff0c\u53ef\u4ee5\u4e86\u89e3\u5230token\u6570\u7684\u4f7f\u7528\u60c5\u51b5\n", "\n", "\n", "\u7531\u4e8e\u8fd9\u662f\u4e00\u4e2a\u76f8\u5bf9\u7b80\u5355\u7684\u94fe\uff0c\u6211\u4eec\u73b0\u5728\u53ef\u4ee5\u770b\u5230\u6700\u7ec8\u7684\u54cd\u5e94\uff0c\u8212\u9002\u7684\u6bdb\u8863\u5957\u88c5\uff0c\u6761\u7eb9\u6b3e\uff0c\u6709\u4fa7\u888b\uff0c\u6b63\u5728\u8d77\u6ce1\uff0c\u901a\u8fc7\u94fe\u8fd4\u56de\u7ed9\u7528\u6237\uff0c\u6211\u4eec\u521a\u521a\u8bb2\u89e3\u4e86\u5982\u4f55\u67e5\u770b\u548c\u8c03\u8bd5\u5355\u4e2a\u8f93\u5165\u5230\u8be5\u94fe\u7684\u60c5\u51b5\u3002\n", "\n", "\n"]}, {"cell_type": "markdown", "id": "7b37c7bc", "metadata": {}, "source": ["### 3.1 \u5982\u4f55\u8bc4\u4f30\u65b0\u521b\u5efa\u7684\u5b9e\u4f8b\n", "\u4e0e\u521b\u5efa\u5b83\u4eec\u7c7b\u4f3c\uff0c\u53ef\u4ee5\u8fd0\u884c\u94fe\u6761\u6765\u5904\u7406\u6240\u6709\u793a\u4f8b\uff0c\u7136\u540e\u67e5\u770b\u8f93\u51fa\u5e76\u5c1d\u8bd5\u5f04\u6e05\u695a\uff0c\u53d1\u751f\u4e86\u4ec0\u4e48\uff0c\u5b83\u662f\u5426\u6b63\u786e"]}, {"cell_type": "code", "execution_count": 23, "id": "b3d6bef0", "metadata": {"height": 47}, "outputs": [], "source": ["# \u6211\u4eec\u9700\u8981\u4e3a\u6240\u6709\u793a\u4f8b\u521b\u5efa\u9884\u6d4b\uff0c\u5173\u95ed\u8c03\u8bd5\u6a21\u5f0f\uff0c\u4ee5\u4fbf\u4e0d\u5c06\u6240\u6709\u5185\u5bb9\u6253\u5370\u5230\u5c4f\u5e55\u4e0a\n", "langchain.debug = False"]}, {"cell_type": "markdown", "id": "46af7edb-72ef-4858-9dcc-e6ba5769ca15", "metadata": {}, "source": ["### 3.2 \u4e2d\u6587\u7248\n", "\u73b0\u5728\u6709\u4e86\u8fd9\u4e9b\u793a\u4f8b\uff0c\u4f46\u662f\u6211\u4eec\u5982\u4f55\u8bc4\u4f30\u6b63\u5728\u53d1\u751f\u7684\u4e8b\u60c5\u5462\uff1f\n", "\u901a\u8fc7\u8fd0\u884c\u4e00\u4e2a\u793a\u4f8b\u901a\u8fc7\u94fe\uff0c\u5e76\u67e5\u770b\u5b83\u4ea7\u751f\u7684\u8f93\u51fa\n", "\u5728\u8fd9\u91cc\u6211\u4eec\u4f20\u9012\u4e00\u4e2a\u67e5\u8be2\uff0c\u7136\u540e\u6211\u4eec\u5f97\u5230\u4e00\u4e2a\u7b54\u6848\u3002\u5b9e\u9645\u4e0a\u6b63\u5728\u53d1\u751f\u7684\u4e8b\u60c5\uff0c\u8fdb\u5165\u8bed\u8a00\u6a21\u578b\u7684\u5b9e\u9645\u63d0\u793a\u662f\u4ec0\u4e48\uff1f   \n", "\u5b83\u68c0\u7d22\u7684\u6587\u6863\u662f\u4ec0\u4e48\uff1f   \n", "\u4e2d\u95f4\u7ed3\u679c\u662f\u4ec0\u4e48\uff1f    \n", "\u4ec5\u4ec5\u67e5\u770b\u6700\u7ec8\u7b54\u6848\u901a\u5e38\u4e0d\u8db3\u4ee5\u4e86\u89e3\u94fe\u4e2d\u51fa\u73b0\u4e86\u4ec0\u4e48\u95ee\u9898\u6216\u53ef\u80fd\u51fa\u73b0\u4e86\u4ec0\u4e48\u95ee\u9898"]}, {"cell_type": "code", "execution_count": null, "id": "45f60c6e", "metadata": {}, "outputs": [], "source": ["''' \n", "LingChainDebug\u5de5\u5177\u53ef\u4ee5\u4e86\u89e3\u8fd0\u884c\u4e00\u4e2a\u5b9e\u4f8b\u901a\u8fc7\u94fe\u4e2d\u95f4\u6240\u7ecf\u5386\u7684\u6b65\u9aa4\n", "'''\n", "import langchain\n", "langchain.debug = True"]}, {"cell_type": "code", "execution_count": null, "id": "3f216f9a", "metadata": {}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["\u001b[32;1m\u001b[1;3m[chain/start]\u001b[0m \u001b[1m[1:chain:RetrievalQA] Entering Chain run with input:\n", "\u001b[0m{\n", "  \"query\": \"\u9ad8\u6e05\u7535\u89c6\u673a\u600e\u4e48\u8fdb\u884c\u62a4\u7406\uff1f\"\n", "}\n", "\u001b[32;1m\u001b[1;3m[chain/start]\u001b[0m \u001b[1m[1:chain:RetrievalQA > 2:chain:StuffDocumentsChain] Entering Chain run with input:\n", "\u001b[0m[inputs]\n", "\u001b[32;1m\u001b[1;3m[chain/start]\u001b[0m \u001b[1m[1:chain:RetrievalQA > 2:chain:StuffDocumentsChain > 3:chain:LLMChain] Entering Chain run with input:\n", "\u001b[0m{\n", "  \"question\": \"\u9ad8\u6e05\u7535\u89c6\u673a\u600e\u4e48\u8fdb\u884c\u62a4\u7406\uff1f\",\n", "  \"context\": \"product_name: \u9ad8\u6e05\u7535\u89c6\u673a\\ndescription: \u89c4\u683c:\\n\u5c3a\u5bf8\uff1a50''\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684\u9ad8\u6e05\u7535\u89c6\u673a\u62e5\u6709\u51fa\u8272\u7684\u753b\u8d28\u548c\u5f3a\u5927\u7684\u97f3\u6548\uff0c\u5e26\u6765\u6c89\u6d78\u5f0f\u7684\u89c2\u770b\u4f53\u9a8c\u3002\\n\\n\u6750\u8d28\u4e0e\u62a4\u7406:\\n\u4f7f\u7528\u5e72\u5e03\u6e05\u6d01\u3002\\n\\n\u6784\u9020:\\n\u7531\u5851\u6599\u3001\u91d1\u5c5e\u548c\u7535\u5b50\u5143\u4ef6\u5236\u6210\u3002\\n\\n\u5176\u4ed6\u7279\u6027:\\n\u652f\u6301\u7f51\u7edc\u8fde\u63a5\uff0c\u53ef\u4ee5\u5728\u7ebf\u89c2\u770b\u89c6\u9891\u3002\\n\u914d\u5907\u9065\u63a7\u5668\u3002\\n\u5728\u97e9\u56fd\u5236\u9020\u3002\\n\\n\u6709\u95ee\u9898\uff1f\u8bf7\u968f\u65f6\u8054\u7cfb\u6211\u4eec\u7684\u5ba2\u6237\u670d\u52a1\u56e2\u961f\uff0c\u4ed6\u4eec\u4f1a\u89e3\u7b54\u60a8\u7684\u6240\u6709\u95ee\u9898\u3002<<<<>>>>>product_name: \u7a7a\u6c14\u51c0\u5316\u5668\\ndescription: \u89c4\u683c:\\n\u5c3a\u5bf8\uff1a15'' x 15'' x 20''\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684\u7a7a\u6c14\u51c0\u5316\u5668\u91c7\u7528\u4e86\u5148\u8fdb\u7684HEPA\u8fc7\u6ee4\u6280\u672f\uff0c\u80fd\u6709\u6548\u53bb\u9664\u7a7a\u6c14\u4e2d\u7684\u5fae\u7c92\u548c\u5f02\u5473\uff0c\u4e3a\u60a8\u63d0\u4f9b\u6e05\u65b0\u7684\u5ba4\u5185\u73af\u5883\u3002\\n\\n\u6750\u8d28\u4e0e\u62a4\u7406:\\n\u6e05\u6d01\u65f6\u4f7f\u7528\u5e72\u5e03\u64e6\u62ed\u3002\\n\\n\u6784\u9020:\\n\u7531\u5851\u6599\u548c\u7535\u5b50\u5143\u4ef6\u5236\u6210\u3002\\n\\n\u5176\u4ed6\u7279\u6027:\\n\u4e09\u6863\u98ce\u901f\uff0c\u9644\u5e26\u5b9a\u65f6\u529f\u80fd\u3002\\n\u5728\u5fb7\u56fd\u5236\u9020\u3002\\n\\n\u6709\u95ee\u9898\uff1f\u8bf7\u968f\u65f6\u8054\u7cfb\u6211\u4eec\u7684\u5ba2\u6237\u670d\u52a1\u56e2\u961f\uff0c\u4ed6\u4eec\u4f1a\u89e3\u7b54\u60a8\u7684\u6240\u6709\u95ee\u9898\u3002<<<<>>>>>product_name: \u5ba0\u7269\u81ea\u52a8\u5582\u98df\u5668\\ndescription: \u89c4\u683c:\\n\u5c3a\u5bf8\uff1a14'' x 9'' x 15''\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684\u5ba0\u7269\u81ea\u52a8\u5582\u98df\u5668\u53ef\u4ee5\u5b9a\u65f6\u5b9a\u91cf\u6295\u653e\u98df\u7269\uff0c\u8ba9\u60a8\u65e0\u8bba\u5728\u5bb6\u6216\u5916\u51fa\u90fd\u80fd\u786e\u4fdd\u5ba0\u7269\u7684\u996e\u98df\u3002\\n\\n\u6750\u8d28\u4e0e\u62a4\u7406:\\n\u53ef\u7528\u6e7f\u5e03\u6e05\u6d01\u3002\\n\\n\u6784\u9020:\\n\u7531\u5851\u6599\u548c\u7535\u5b50\u5143\u4ef6\u5236\u6210\u3002\\n\\n\u5176\u4ed6\u7279\u6027:\\n\u914d\u5907LCD\u5c4f\u5e55\uff0c\u64cd\u4f5c\u7b80\u5355\u3002\\n\u53ef\u4ee5\u8bbe\u7f6e\u591a\u6b21\u6295\u98df\u3002\\n\u5728\u7f8e\u56fd\u5236\u9020\u3002\\n\\n\u6709\u95ee\u9898\uff1f\u8bf7\u968f\u65f6\u8054\u7cfb\u6211\u4eec\u7684\u5ba2\u6237\u670d\u52a1\u56e2\u961f\uff0c\u4ed6\u4eec\u4f1a\u89e3\u7b54\u60a8\u7684\u6240\u6709\u95ee\u9898\u3002<<<<>>>>>product_name: \u73bb\u7483\u4fdd\u62a4\u819c\\ndescription: \u89c4\u683c:\\n\u9002\u7528\u4e8e\u5404\u79cd\u5c3a\u5bf8\u7684\u624b\u673a\u5c4f\u5e55\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684\u73bb\u7483\u4fdd\u62a4\u819c\u53ef\u4ee5\u6709\u6548\u9632\u6b62\u624b\u673a\u5c4f\u5e55\u522e\u4f24\u548c\u7834\u88c2\uff0c\u800c\u4e14\u4e0d\u5f71\u54cd\u89e6\u63a7\u7684\u7075\u654f\u5ea6\u3002\\n\\n\u6750\u8d28\u4e0e\u62a4\u7406:\\n\u4f7f\u7528\u5e72\u5e03\u64e6\u62ed\u3002\\n\\n\u6784\u9020:\\n\u7531\u9ad8\u5f3a\u5ea6\u7684\u73bb\u7483\u6750\u6599\u5236\u6210\u3002\\n\\n\u5176\u4ed6\u7279\u6027:\\n\u5b89\u88c5\u7b80\u5355\uff0c\u9002\u5408\u81ea\u884c\u5b89\u88c5\u3002\\n\u5728\u65e5\u672c\u5236\u9020\u3002\\n\\n\u6709\u95ee\u9898\uff1f\u8bf7\u968f\u65f6\u8054\u7cfb\u6211\u4eec\u7684\u5ba2\u6237\u670d\u52a1\u56e2\u961f\uff0c\u4ed6\u4eec\u4f1a\u89e3\u7b54\u60a8\u7684\u6240\u6709\u95ee\u9898\u3002\"\n", "}\n", "\u001b[32;1m\u001b[1;3m[llm/start]\u001b[0m \u001b[1m[1:chain:RetrievalQA > 2:chain:StuffDocumentsChain > 3:chain:LLMChain > 4:llm:ChatOpenAI] Entering LLM run with input:\n", "\u001b[0m{\n", "  \"prompts\": [\n", "    \"System: Use the following pieces of context to answer the users question. \\nIf you don't know the answer, just say that you don't know, don't try to make up an answer.\\n----------------\\nproduct_name: \u9ad8\u6e05\u7535\u89c6\u673a\\ndescription: \u89c4\u683c:\\n\u5c3a\u5bf8\uff1a50''\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684\u9ad8\u6e05\u7535\u89c6\u673a\u62e5\u6709\u51fa\u8272\u7684\u753b\u8d28\u548c\u5f3a\u5927\u7684\u97f3\u6548\uff0c\u5e26\u6765\u6c89\u6d78\u5f0f\u7684\u89c2\u770b\u4f53\u9a8c\u3002\\n\\n\u6750\u8d28\u4e0e\u62a4\u7406:\\n\u4f7f\u7528\u5e72\u5e03\u6e05\u6d01\u3002\\n\\n\u6784\u9020:\\n\u7531\u5851\u6599\u3001\u91d1\u5c5e\u548c\u7535\u5b50\u5143\u4ef6\u5236\u6210\u3002\\n\\n\u5176\u4ed6\u7279\u6027:\\n\u652f\u6301\u7f51\u7edc\u8fde\u63a5\uff0c\u53ef\u4ee5\u5728\u7ebf\u89c2\u770b\u89c6\u9891\u3002\\n\u914d\u5907\u9065\u63a7\u5668\u3002\\n\u5728\u97e9\u56fd\u5236\u9020\u3002\\n\\n\u6709\u95ee\u9898\uff1f\u8bf7\u968f\u65f6\u8054\u7cfb\u6211\u4eec\u7684\u5ba2\u6237\u670d\u52a1\u56e2\u961f\uff0c\u4ed6\u4eec\u4f1a\u89e3\u7b54\u60a8\u7684\u6240\u6709\u95ee\u9898\u3002<<<<>>>>>product_name: \u7a7a\u6c14\u51c0\u5316\u5668\\ndescription: \u89c4\u683c:\\n\u5c3a\u5bf8\uff1a15'' x 15'' x 20''\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684\u7a7a\u6c14\u51c0\u5316\u5668\u91c7\u7528\u4e86\u5148\u8fdb\u7684HEPA\u8fc7\u6ee4\u6280\u672f\uff0c\u80fd\u6709\u6548\u53bb\u9664\u7a7a\u6c14\u4e2d\u7684\u5fae\u7c92\u548c\u5f02\u5473\uff0c\u4e3a\u60a8\u63d0\u4f9b\u6e05\u65b0\u7684\u5ba4\u5185\u73af\u5883\u3002\\n\\n\u6750\u8d28\u4e0e\u62a4\u7406:\\n\u6e05\u6d01\u65f6\u4f7f\u7528\u5e72\u5e03\u64e6\u62ed\u3002\\n\\n\u6784\u9020:\\n\u7531\u5851\u6599\u548c\u7535\u5b50\u5143\u4ef6\u5236\u6210\u3002\\n\\n\u5176\u4ed6\u7279\u6027:\\n\u4e09\u6863\u98ce\u901f\uff0c\u9644\u5e26\u5b9a\u65f6\u529f\u80fd\u3002\\n\u5728\u5fb7\u56fd\u5236\u9020\u3002\\n\\n\u6709\u95ee\u9898\uff1f\u8bf7\u968f\u65f6\u8054\u7cfb\u6211\u4eec\u7684\u5ba2\u6237\u670d\u52a1\u56e2\u961f\uff0c\u4ed6\u4eec\u4f1a\u89e3\u7b54\u60a8\u7684\u6240\u6709\u95ee\u9898\u3002<<<<>>>>>product_name: \u5ba0\u7269\u81ea\u52a8\u5582\u98df\u5668\\ndescription: \u89c4\u683c:\\n\u5c3a\u5bf8\uff1a14'' x 9'' x 15''\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684\u5ba0\u7269\u81ea\u52a8\u5582\u98df\u5668\u53ef\u4ee5\u5b9a\u65f6\u5b9a\u91cf\u6295\u653e\u98df\u7269\uff0c\u8ba9\u60a8\u65e0\u8bba\u5728\u5bb6\u6216\u5916\u51fa\u90fd\u80fd\u786e\u4fdd\u5ba0\u7269\u7684\u996e\u98df\u3002\\n\\n\u6750\u8d28\u4e0e\u62a4\u7406:\\n\u53ef\u7528\u6e7f\u5e03\u6e05\u6d01\u3002\\n\\n\u6784\u9020:\\n\u7531\u5851\u6599\u548c\u7535\u5b50\u5143\u4ef6\u5236\u6210\u3002\\n\\n\u5176\u4ed6\u7279\u6027:\\n\u914d\u5907LCD\u5c4f\u5e55\uff0c\u64cd\u4f5c\u7b80\u5355\u3002\\n\u53ef\u4ee5\u8bbe\u7f6e\u591a\u6b21\u6295\u98df\u3002\\n\u5728\u7f8e\u56fd\u5236\u9020\u3002\\n\\n\u6709\u95ee\u9898\uff1f\u8bf7\u968f\u65f6\u8054\u7cfb\u6211\u4eec\u7684\u5ba2\u6237\u670d\u52a1\u56e2\u961f\uff0c\u4ed6\u4eec\u4f1a\u89e3\u7b54\u60a8\u7684\u6240\u6709\u95ee\u9898\u3002<<<<>>>>>product_name: \u73bb\u7483\u4fdd\u62a4\u819c\\ndescription: \u89c4\u683c:\\n\u9002\u7528\u4e8e\u5404\u79cd\u5c3a\u5bf8\u7684\u624b\u673a\u5c4f\u5e55\u3002\\n\\n\u4e3a\u4ec0\u4e48\u6211\u4eec\u70ed\u7231\u5b83:\\n\u6211\u4eec\u7684\u73bb\u7483\u4fdd\u62a4\u819c\u53ef\u4ee5\u6709\u6548\u9632\u6b62\u624b\u673a\u5c4f\u5e55\u522e\u4f24\u548c\u7834\u88c2\uff0c\u800c\u4e14\u4e0d\u5f71\u54cd\u89e6\u63a7\u7684\u7075\u654f\u5ea6\u3002\\n\\n\u6750\u8d28\u4e0e\u62a4\u7406:\\n\u4f7f\u7528\u5e72\u5e03\u64e6\u62ed\u3002\\n\\n\u6784\u9020:\\n\u7531\u9ad8\u5f3a\u5ea6\u7684\u73bb\u7483\u6750\u6599\u5236\u6210\u3002\\n\\n\u5176\u4ed6\u7279\u6027:\\n\u5b89\u88c5\u7b80\u5355\uff0c\u9002\u5408\u81ea\u884c\u5b89\u88c5\u3002\\n\u5728\u65e5\u672c\u5236\u9020\u3002\\n\\n\u6709\u95ee\u9898\uff1f\u8bf7\u968f\u65f6\u8054\u7cfb\u6211\u4eec\u7684\u5ba2\u6237\u670d\u52a1\u56e2\u961f\uff0c\u4ed6\u4eec\u4f1a\u89e3\u7b54\u60a8\u7684\u6240\u6709\u95ee\u9898\u3002\\nHuman: \u9ad8\u6e05\u7535\u89c6\u673a\u600e\u4e48\u8fdb\u884c\u62a4\u7406\uff1f\"\n", "  ]\n", "}\n"]}, {"name": "stderr", "output_type": "stream", "text": ["Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 1.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 2.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 4.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 8.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n"]}, {"name": "stdout", "output_type": "stream", "text": ["\u001b[36;1m\u001b[1;3m[llm/end]\u001b[0m \u001b[1m[1:chain:RetrievalQA > 2:chain:StuffDocumentsChain > 3:chain:LLMChain > 4:llm:ChatOpenAI] [21.02s] Exiting LLM run with output:\n", "\u001b[0m{\n", "  \"generations\": [\n", "    [\n", "      {\n", "        \"text\": \"\u9ad8\u6e05\u7535\u89c6\u673a\u7684\u62a4\u7406\u975e\u5e38\u7b80\u5355\u3002\u60a8\u53ea\u9700\u8981\u4f7f\u7528\u5e72\u5e03\u6e05\u6d01\u5373\u53ef\u3002\u907f\u514d\u4f7f\u7528\u6e7f\u5e03\u6216\u5316\u5b66\u6e05\u6d01\u5242\uff0c\u4ee5\u514d\u635f\u574f\u7535\u89c6\u673a\u7684\u8868\u9762\u3002\",\n", "        \"generation_info\": null,\n", "        \"message\": {\n", "          \"content\": \"\u9ad8\u6e05\u7535\u89c6\u673a\u7684\u62a4\u7406\u975e\u5e38\u7b80\u5355\u3002\u60a8\u53ea\u9700\u8981\u4f7f\u7528\u5e72\u5e03\u6e05\u6d01\u5373\u53ef\u3002\u907f\u514d\u4f7f\u7528\u6e7f\u5e03\u6216\u5316\u5b66\u6e05\u6d01\u5242\uff0c\u4ee5\u514d\u635f\u574f\u7535\u89c6\u673a\u7684\u8868\u9762\u3002\",\n", "          \"additional_kwargs\": {},\n", "          \"example\": false\n", "        }\n", "      }\n", "    ]\n", "  ],\n", "  \"llm_output\": {\n", "    \"token_usage\": {\n", "      \"prompt_tokens\": 823,\n", "      \"completion_tokens\": 58,\n", "      \"total_tokens\": 881\n", "    },\n", "    \"model_name\": \"gpt-3.5-turbo\"\n", "  },\n", "  \"run\": null\n", "}\n", "\u001b[36;1m\u001b[1;3m[chain/end]\u001b[0m \u001b[1m[1:chain:RetrievalQA > 2:chain:StuffDocumentsChain > 3:chain:LLMChain] [21.02s] Exiting Chain run with output:\n", "\u001b[0m{\n", "  \"text\": \"\u9ad8\u6e05\u7535\u89c6\u673a\u7684\u62a4\u7406\u975e\u5e38\u7b80\u5355\u3002\u60a8\u53ea\u9700\u8981\u4f7f\u7528\u5e72\u5e03\u6e05\u6d01\u5373\u53ef\u3002\u907f\u514d\u4f7f\u7528\u6e7f\u5e03\u6216\u5316\u5b66\u6e05\u6d01\u5242\uff0c\u4ee5\u514d\u635f\u574f\u7535\u89c6\u673a\u7684\u8868\u9762\u3002\"\n", "}\n", "\u001b[36;1m\u001b[1;3m[chain/end]\u001b[0m \u001b[1m[1:chain:RetrievalQA > 2:chain:StuffDocumentsChain] [21.02s] Exiting Chain run with output:\n", "\u001b[0m{\n", "  \"output_text\": \"\u9ad8\u6e05\u7535\u89c6\u673a\u7684\u62a4\u7406\u975e\u5e38\u7b80\u5355\u3002\u60a8\u53ea\u9700\u8981\u4f7f\u7528\u5e72\u5e03\u6e05\u6d01\u5373\u53ef\u3002\u907f\u514d\u4f7f\u7528\u6e7f\u5e03\u6216\u5316\u5b66\u6e05\u6d01\u5242\uff0c\u4ee5\u514d\u635f\u574f\u7535\u89c6\u673a\u7684\u8868\u9762\u3002\"\n", "}\n", "\u001b[36;1m\u001b[1;3m[chain/end]\u001b[0m \u001b[1m[1:chain:RetrievalQA] [21.81s] Exiting Chain run with output:\n", "\u001b[0m{\n", "  \"result\": \"\u9ad8\u6e05\u7535\u89c6\u673a\u7684\u62a4\u7406\u975e\u5e38\u7b80\u5355\u3002\u60a8\u53ea\u9700\u8981\u4f7f\u7528\u5e72\u5e03\u6e05\u6d01\u5373\u53ef\u3002\u907f\u514d\u4f7f\u7528\u6e7f\u5e03\u6216\u5316\u5b66\u6e05\u6d01\u5242\uff0c\u4ee5\u514d\u635f\u574f\u7535\u89c6\u673a\u7684\u8868\u9762\u3002\"\n", "}\n"]}, {"data": {"text/plain": ["'\u9ad8\u6e05\u7535\u89c6\u673a\u7684\u62a4\u7406\u975e\u5e38\u7b80\u5355\u3002\u60a8\u53ea\u9700\u8981\u4f7f\u7528\u5e72\u5e03\u6e05\u6d01\u5373\u53ef\u3002\u907f\u514d\u4f7f\u7528\u6e7f\u5e03\u6216\u5316\u5b66\u6e05\u6d01\u5242\uff0c\u4ee5\u514d\u635f\u574f\u7535\u89c6\u673a\u7684\u8868\u9762\u3002'"]}, "metadata": {}, "output_type": "display_data"}], "source": ["qa.run(examples[0][\"query\"])#\u91cd\u65b0\u8fd0\u884c\u4e0e\u4e0a\u9762\u76f8\u540c\u7684\u793a\u4f8b\uff0c\u53ef\u4ee5\u770b\u5230\u5b83\u5f00\u59cb\u6253\u5370\u51fa\u66f4\u591a\u7684\u4fe1\u606f"]}, {"cell_type": "markdown", "id": "c645e0d7-a3bb-4a81-a3ec-eb76e6a2e94d", "metadata": {}, "source": ["\u6211\u4eec\u53ef\u4ee5\u770b\u5230\u5b83\u9996\u5148\u6df1\u5165\u5230\u68c0\u7d22QA\u94fe\u4e2d\uff0c\u7136\u540e\u5b83\u8fdb\u5165\u4e86\u4e00\u4e9b\u6587\u6863\u94fe\u3002\u5982\u4e0a\u6240\u8ff0\uff0c\u6211\u4eec\u6b63\u5728\u4f7f\u7528stuff\u65b9\u6cd5\uff0c\u73b0\u5728\u6211\u4eec\u6b63\u5728\u4f20\u9012\u8fd9\u4e2a\u4e0a\u4e0b\u6587\uff0c\u53ef\u4ee5\u770b\u5230\uff0c\u8fd9\u4e2a\u4e0a\u4e0b\u6587\u662f\u7531\u6211\u4eec\u68c0\u7d22\u5230\u7684\u4e0d\u540c\u6587\u6863\u521b\u5efa\u7684\u3002\u56e0\u6b64\uff0c\u5728\u8fdb\u884c\u95ee\u7b54\u65f6\uff0c\u5f53\u8fd4\u56de\u9519\u8bef\u7ed3\u679c\u65f6\uff0c\u901a\u5e38\u4e0d\u662f\u8bed\u8a00\u6a21\u578b\u672c\u8eab\u51fa\u9519\u4e86\uff0c\u5b9e\u9645\u4e0a\u662f\u68c0\u7d22\u6b65\u9aa4\u51fa\u9519\u4e86\uff0c\u4ed4\u7ec6\u67e5\u770b\u95ee\u9898\u7684\u786e\u5207\u5185\u5bb9\u548c\u4e0a\u4e0b\u6587\u53ef\u4ee5\u5e2e\u52a9\u8c03\u8bd5\u51fa\u9519\u7684\u539f\u56e0\u3002    \n", "\u7136\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u518d\u5411\u4e0b\u4e00\u7ea7\uff0c\u770b\u770b\u8fdb\u5165\u8bed\u8a00\u6a21\u578b\u7684\u786e\u5207\u5185\u5bb9\uff0c\u4ee5\u53ca OpenAI \u81ea\u8eab\uff0c\u5728\u8fd9\u91cc\uff0c\u6211\u4eec\u53ef\u4ee5\u770b\u5230\u4f20\u9012\u7684\u5b8c\u6574\u63d0\u793a\uff0c\u6211\u4eec\u6709\u4e00\u4e2a\u7cfb\u7edf\u6d88\u606f\uff0c\u6709\u6240\u4f7f\u7528\u7684\u63d0\u793a\u7684\u63cf\u8ff0\uff0c\u8fd9\u662f\u95ee\u9898\u56de\u7b54\u94fe\u4f7f\u7528\u7684\u63d0\u793a\uff0c\u6211\u4eec\u53ef\u4ee5\u770b\u5230\u63d0\u793a\u6253\u5370\u51fa\u6765\uff0c\u4f7f\u7528\u4ee5\u4e0b\u4e0a\u4e0b\u6587\u7247\u6bb5\u56de\u7b54\u7528\u6237\u7684\u95ee\u9898\u3002\n", "\u5982\u679c\u60a8\u4e0d\u77e5\u9053\u7b54\u6848\uff0c\u53ea\u9700\u8bf4\u60a8\u4e0d\u77e5\u9053\u5373\u53ef\uff0c\u4e0d\u8981\u8bd5\u56fe\u7f16\u9020\u7b54\u6848\u3002\u7136\u540e\u6211\u4eec\u770b\u5230\u4e00\u5806\u4e4b\u524d\u63d2\u5165\u7684\u4e0a\u4e0b\u6587\uff0c\u6211\u4eec\u8fd8\u53ef\u4ee5\u770b\u5230\u6709\u5173\u5b9e\u9645\u8fd4\u56de\u7c7b\u578b\u7684\u66f4\u591a\u4fe1\u606f\u3002\u6211\u4eec\u4e0d\u4ec5\u4ec5\u8fd4\u56de\u4e00\u4e2a\u7b54\u6848\uff0c\u8fd8\u6709token\u7684\u4f7f\u7528\u60c5\u51b5\uff0c\u53ef\u4ee5\u4e86\u89e3\u5230token\u6570\u7684\u4f7f\u7528\u60c5\u51b5\n", "\n", "\n", "\u7531\u4e8e\u8fd9\u662f\u4e00\u4e2a\u76f8\u5bf9\u7b80\u5355\u7684\u94fe\uff0c\u6211\u4eec\u73b0\u5728\u53ef\u4ee5\u770b\u5230\u6700\u7ec8\u7684\u54cd\u5e94\uff0c\u8212\u9002\u7684\u6bdb\u8863\u5957\u88c5\uff0c\u6761\u7eb9\u6b3e\uff0c\u6709\u4fa7\u888b\uff0c\u6b63\u5728\u8d77\u6ce1\uff0c\u901a\u8fc7\u94fe\u8fd4\u56de\u7ed9\u7528\u6237\uff0c\u6211\u4eec\u521a\u521a\u8bb2\u89e3\u4e86\u5982\u4f55\u67e5\u770b\u548c\u8c03\u8bd5\u5355\u4e2a\u8f93\u5165\u5230\u8be5\u94fe\u7684\u60c5\u51b5\u3002\n", "\n", "\n"]}, {"cell_type": "markdown", "id": "f78dc503-f283-4bb0-8c70-3eef992401b9", "metadata": {}, "source": ["#### \u5982\u4f55\u8bc4\u4f30\u65b0\u521b\u5efa\u7684\u5b9e\u4f8b\n", "\u4e0e\u521b\u5efa\u5b83\u4eec\u7c7b\u4f3c\uff0c\u53ef\u4ee5\u8fd0\u884c\u94fe\u6761\u6765\u5904\u7406\u6240\u6709\u793a\u4f8b\uff0c\u7136\u540e\u67e5\u770b\u8f93\u51fa\u5e76\u5c1d\u8bd5\u5f04\u6e05\u695a\uff0c\u53d1\u751f\u4e86\u4ec0\u4e48\uff0c\u5b83\u662f\u5426\u6b63\u786e"]}, {"cell_type": "code", "execution_count": null, "id": "a32fbb61", "metadata": {}, "outputs": [], "source": ["# \u6211\u4eec\u9700\u8981\u4e3a\u6240\u6709\u793a\u4f8b\u521b\u5efa\u9884\u6d4b\uff0c\u5173\u95ed\u8c03\u8bd5\u6a21\u5f0f\uff0c\u4ee5\u4fbf\u4e0d\u5c06\u6240\u6709\u5185\u5bb9\u6253\u5370\u5230\u5c4f\u5e55\u4e0a\n", "langchain.debug = False"]}, {"cell_type": "markdown", "id": "d5bdbdce", "metadata": {}, "source": ["## \u56db\u3001 \u901a\u8fc7LLM\u8fdb\u884c\u8bc4\u4f30\u5b9e\u4f8b"]}, {"cell_type": "code", "execution_count": 24, "id": "a4dca05a", "metadata": {"height": 30}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["\n", "\n", "\u001b[1m> Entering new  chain...\u001b[0m\n", "\n", "\u001b[1m> Finished chain.\u001b[0m\n", "\n", "\n", "\u001b[1m> Entering new  chain...\u001b[0m\n"]}, {"name": "stderr", "output_type": "stream", "text": ["Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 1.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 2.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 4.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n"]}, {"name": "stdout", "output_type": "stream", "text": ["\n", "\u001b[1m> Finished chain.\u001b[0m\n", "\n", "\n", "\u001b[1m> Entering new  chain...\u001b[0m\n"]}, {"name": "stderr", "output_type": "stream", "text": ["Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 1.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 2.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 4.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 8.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n"]}, {"name": "stdout", "output_type": "stream", "text": ["\n", "\u001b[1m> Finished chain.\u001b[0m\n", "\n", "\n", "\u001b[1m> Entering new  chain...\u001b[0m\n"]}, {"name": "stderr", "output_type": "stream", "text": ["Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 1.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 2.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 4.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 8.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n"]}, {"name": "stdout", "output_type": "stream", "text": ["\n", "\u001b[1m> Finished chain.\u001b[0m\n", "\n", "\n", "\u001b[1m> Entering new  chain...\u001b[0m\n"]}, {"name": "stderr", "output_type": "stream", "text": ["Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 1.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 2.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 4.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 8.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n"]}, {"name": "stdout", "output_type": "stream", "text": ["\n", "\u001b[1m> Finished chain.\u001b[0m\n", "\n", "\n", "\u001b[1m> Entering new  chain...\u001b[0m\n"]}, {"name": "stderr", "output_type": "stream", "text": ["Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 1.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 2.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 4.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 8.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n"]}, {"name": "stdout", "output_type": "stream", "text": ["\n", "\u001b[1m> Finished chain.\u001b[0m\n", "\n", "\n", "\u001b[1m> Entering new  chain...\u001b[0m\n"]}, {"name": "stderr", "output_type": "stream", "text": ["Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 1.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 2.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 4.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 8.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n"]}, {"name": "stdout", "output_type": "stream", "text": ["\n", "\u001b[1m> Finished chain.\u001b[0m\n"]}], "source": ["predictions = qa.apply(examples) #\u4e3a\u6240\u6709\u4e0d\u540c\u7684\u793a\u4f8b\u521b\u5efa\u9884\u6d4b"]}, {"cell_type": "code", "execution_count": 25, "id": "6012a3e0", "metadata": {"height": 30}, "outputs": [], "source": ["''' \n", "\u5bf9\u9884\u6d4b\u7684\u7ed3\u679c\u8fdb\u884c\u8bc4\u4f30\uff0c\u5bfc\u5165QA\u95ee\u9898\u56de\u7b54\uff0c\u8bc4\u4f30\u94fe\uff0c\u901a\u8fc7\u8bed\u8a00\u6a21\u578b\u521b\u5efa\u6b64\u94fe\n", "'''\n", "from langchain.evaluation.qa import QAEvalChain #\u5bfc\u5165QA\u95ee\u9898\u56de\u7b54\uff0c\u8bc4\u4f30\u94fe"]}, {"cell_type": "code", "execution_count": 26, "id": "724b1c0b", "metadata": {"height": 47}, "outputs": [], "source": ["#\u901a\u8fc7\u8c03\u7528chatGPT\u8fdb\u884c\u8bc4\u4f30\n", "llm = ChatOpenAI(temperature=0)\n", "eval_chain = QAEvalChain.from_llm(llm)"]}, {"cell_type": "code", "execution_count": 27, "id": "8b46ae55", "metadata": {"height": 30}, "outputs": [{"name": "stderr", "output_type": "stream", "text": ["Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 1.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 2.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 4.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 8.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 1.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 2.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 4.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 8.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 1.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 2.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 4.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 8.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 1.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 2.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 4.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 8.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 16.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 1.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 2.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 1.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 2.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 4.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 8.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 16.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 1.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 2.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 4.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n"]}], "source": ["graded_outputs = eval_chain.evaluate(examples, predictions)#\u5728\u6b64\u94fe\u4e0a\u8c03\u7528evaluate\uff0c\u8fdb\u884c\u8bc4\u4f30"]}, {"cell_type": "markdown", "id": "9ad64f72", "metadata": {}, "source": ["### 4.1  \u8bc4\u4f30\u601d\u8def\n", "\u5f53\u5b83\u9762\u524d\u6709\u6574\u4e2a\u6587\u6863\u65f6\uff0c\u5b83\u53ef\u4ee5\u751f\u6210\u4e00\u4e2a\u771f\u5b9e\u7684\u7b54\u6848\uff0c\u6211\u4eec\u5c06\u6253\u5370\u51fa\u9884\u6d4b\u7684\u7b54\uff0c\u5f53\u5b83\u8fdb\u884cQA\u94fe\u65f6\uff0c\u4f7f\u7528embedding\u548c\u5411\u91cf\u6570\u636e\u5e93\u8fdb\u884c\u68c0\u7d22\u65f6\uff0c\u5c06\u5176\u4f20\u9012\u5230\u8bed\u8a00\u6a21\u578b\u4e2d\uff0c\u7136\u540e\u5c1d\u8bd5\u731c\u6d4b\u9884\u6d4b\u7684\u7b54\u6848\uff0c\u6211\u4eec\u8fd8\u5c06\u6253\u5370\u51fa\u6210\u7ee9\uff0c\u8fd9\u4e5f\u662f\u8bed\u8a00\u6a21\u578b\u751f\u6210\u7684\u3002\u5f53\u5b83\u8981\u6c42\u8bc4\u4f30\u94fe\u8bc4\u4f30\u6b63\u5728\u53d1\u751f\u7684\u4e8b\u60c5\u65f6\uff0c\u4ee5\u53ca\u5b83\u662f\u5426\u6b63\u786e\u6216\u4e0d\u6b63\u786e\u3002\u56e0\u6b64\uff0c\u5f53\u6211\u4eec\u5faa\u73af\u904d\u5386\u6240\u6709\u8fd9\u4e9b\u793a\u4f8b\u5e76\u5c06\u5b83\u4eec\u6253\u5370\u51fa\u6765\u65f6\uff0c\u53ef\u4ee5\u8be6\u7ec6\u4e86\u89e3\u6bcf\u4e2a\u793a\u4f8b"]}, {"cell_type": "code", "execution_count": 28, "id": "3437cfbe", "metadata": {"height": 132}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["Example 0:\n", "Question: Do the Cozy Comfort Pullover Set        have side pockets?\n", "Real Answer: Yes\n", "Predicted Answer: Yes, the Cozy Comfort Pullover Set does have side pockets.\n", "Predicted Grade: CORRECT\n", "\n", "Example 1:\n", "Question: What collection is the Ultra-Lofty         850 Stretch Down Hooded Jacket from?\n", "Real Answer: The DownTek collection\n", "Predicted Answer: The Ultra-Lofty 850 Stretch Down Hooded Jacket is from the DownTek collection.\n", "Predicted Grade: CORRECT\n", "\n", "Example 2:\n", "Question: What is the description of the Women's Campside Oxfords?\n", "Real Answer: The Women's Campside Oxfords are described as an ultracomfortable lace-to-toe Oxford made of soft canvas material, featuring thick cushioning, quality construction, and a broken-in feel from the first time they are worn.\n", "Predicted Answer: The description of the Women's Campside Oxfords is: \"This ultracomfortable lace-to-toe Oxford boasts a super-soft canvas, thick cushioning, and quality construction for a broken-in feel from the first time you put them on.\"\n", "Predicted Grade: CORRECT\n", "\n", "Example 3:\n", "Question: What are the dimensions of the small and medium sizes of the Recycled Waterhog Dog Mat, Chevron Weave?\n", "Real Answer: The small size of the Recycled Waterhog Dog Mat, Chevron Weave has dimensions of 18\" x 28\", while the medium size has dimensions of 22.5\" x 34.5\".\n", "Predicted Answer: The dimensions of the small size of the Recycled Waterhog Dog Mat, Chevron Weave are 18\" x 28\". The dimensions of the medium size are 22.5\" x 34.5\".\n", "Predicted Grade: CORRECT\n", "\n", "Example 4:\n", "Question: What are some features of the Infant and Toddler Girls' Coastal Chill Swimsuit, Two-Piece?\n", "Real Answer: The swimsuit features bright colors, ruffles, and exclusive whimsical prints. It is made of a four-way-stretch and chlorine-resistant fabric that maintains its shape and resists snags. The fabric is also UPF 50+ rated, providing the highest rated sun protection possible by blocking 98% of the sun's harmful rays. The swimsuit has crossover no-slip straps and a fully lined bottom for a secure fit and maximum coverage.\n", "Predicted Answer: Some features of the Infant and Toddler Girls' Coastal Chill Swimsuit, Two-Piece are:\n", "- Bright colors and ruffles\n", "- Exclusive whimsical prints\n", "- Four-way-stretch and chlorine-resistant fabric\n", "- UPF 50+ rated fabric for sun protection\n", "- Crossover no-slip straps\n", "- Fully lined bottom for secure fit and maximum coverage\n", "- Machine washable and line dry for best results\n", "- Imported\n", "Predicted Grade: CORRECT\n", "\n", "Example 5:\n", "Question: What is the fabric composition of the Refresh Swimwear, V-Neck Tankini Contrasts?\n", "Real Answer: The Refresh Swimwear, V-Neck Tankini Contrasts is made of 82% recycled nylon with 18% Lycra\u00ae spandex for the body, and 90% recycled nylon with 10% Lycra\u00ae spandex for the lining.\n", "Predicted Answer: The fabric composition of the Refresh Swimwear, V-Neck Tankini Contrasts is 82% recycled nylon with 18% Lycra\u00ae spandex for the body, and 90% recycled nylon with 10% Lycra\u00ae spandex for the lining.\n", "Predicted Grade: CORRECT\n", "\n", "Example 6:\n", "Question: What is the technology used in the EcoFlex 3L Storm Pants that makes them more breathable?\n", "Real Answer: The EcoFlex 3L Storm Pants use TEK O2 technology to make them more breathable.\n", "Predicted Answer: The technology used in the EcoFlex 3L Storm Pants that makes them more breathable is called TEK O2 technology.\n", "Predicted Grade: CORRECT\n", "\n"]}], "source": ["#\u6211\u4eec\u5c06\u4f20\u5165\u793a\u4f8b\u548c\u9884\u6d4b\uff0c\u5f97\u5230\u4e00\u5806\u5206\u7ea7\u8f93\u51fa\uff0c\u5faa\u73af\u904d\u5386\u5b83\u4eec\u6253\u5370\u7b54\u6848\n", "for i, eg in enumerate(examples):\n", "    print(f\"Example {i}:\")\n", "    print(\"Question: \" + predictions[i]['query'])\n", "    print(\"Real Answer: \" + predictions[i]['answer'])\n", "    print(\"Predicted Answer: \" + predictions[i]['result'])\n", "    print(\"Predicted Grade: \" + graded_outputs[i]['text'])\n", "    print()"]}, {"cell_type": "markdown", "id": "87ecb476", "metadata": {}, "source": ["### 4.2 \u7ed3\u679c\u5206\u6790\n", "\u5bf9\u4e8e\u6bcf\u4e2a\u793a\u4f8b\uff0c\u5b83\u770b\u8d77\u6765\u90fd\u662f\u6b63\u786e\u7684\uff0c\u8ba9\u6211\u4eec\u770b\u770b\u7b2c\u4e00\u4e2a\u4f8b\u5b50\u3002\n", "\u8fd9\u91cc\u7684\u95ee\u9898\u662f\uff0c\u8212\u9002\u7684\u5957\u5934\u886b\u5957\u88c5\uff0c\u6709\u4fa7\u53e3\u888b\u5417\uff1f\u771f\u6b63\u7684\u7b54\u6848\uff0c\u6211\u4eec\u521b\u5efa\u4e86\u8fd9\u4e2a\uff0c\u662f\u80af\u5b9a\u7684\u3002\u6a21\u578b\u9884\u6d4b\u7684\u7b54\u6848\u662f\u8212\u9002\u7684\u5957\u5934\u886b\u5957\u88c5\u6761\u7eb9\uff0c\u786e\u5b9e\u6709\u4fa7\u53e3\u888b\u3002\u56e0\u6b64\uff0c\u6211\u4eec\u53ef\u4ee5\u7406\u89e3\u8fd9\u662f\u4e00\u4e2a\u6b63\u786e\u7684\u7b54\u6848\u3002\u5b83\u5c06\u5176\u8bc4\u4e3a\u6b63\u786e\u3002    \n", "#### \u4f7f\u7528\u6a21\u578b\u8bc4\u4f30\u7684\u4f18\u52bf\n", "\n", "\u4f60\u6709\u8fd9\u4e9b\u7b54\u6848\uff0c\u5b83\u4eec\u662f\u4efb\u610f\u7684\u5b57\u7b26\u4e32\u3002\u6ca1\u6709\u5355\u4e00\u7684\u771f\u5b9e\u5b57\u7b26\u4e32\u662f\u6700\u597d\u7684\u53ef\u80fd\u7b54\u6848\uff0c\u6709\u8bb8\u591a\u4e0d\u540c\u7684\u53d8\u4f53\uff0c\u53ea\u8981\u5b83\u4eec\u5177\u6709\u76f8\u540c\u7684\u8bed\u4e49\uff0c\u5b83\u4eec\u5e94\u8be5\u88ab\u8bc4\u4e3a\u76f8\u4f3c\u3002\u5982\u679c\u4f7f\u7528\u6b63\u5219\u8fdb\u884c\u7cbe\u51c6\u5339\u914d\u5c31\u4f1a\u4e22\u5931\u8bed\u4e49\u4fe1\u606f\uff0c\u5230\u76ee\u524d\u4e3a\u6b62\u5b58\u5728\u7684\u8bb8\u591a\u8bc4\u4f30\u6307\u6807\u90fd\u4e0d\u591f\u597d\u3002\u76ee\u524d\u6700\u6709\u8da3\u548c\u6700\u53d7\u6b22\u8fce\u7684\u4e4b\u4e00\u5c31\u662f\u4f7f\u7528\u8bed\u8a00\u6a21\u578b\u8fdb\u884c\u8bc4\u4f30\u3002"]}, {"cell_type": "markdown", "id": "dd57860a", "metadata": {}, "source": ["### 3.3 \u901a\u8fc7LLM\u8fdb\u884c\u8bc4\u4f30\u5b9e\u4f8b"]}, {"cell_type": "code", "execution_count": 50, "id": "40d908c9", "metadata": {}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["\n", "\n", "\u001b[1m> Entering new  chain...\u001b[0m\n", "\n", "\u001b[1m> Finished chain.\u001b[0m\n", "\n", "\n", "\u001b[1m> Entering new  chain...\u001b[0m\n", "\n", "\u001b[1m> Finished chain.\u001b[0m\n", "\n", "\n", "\u001b[1m> Entering new  chain...\u001b[0m\n", "\n", "\u001b[1m> Finished chain.\u001b[0m\n", "\n", "\n", "\u001b[1m> Entering new  chain...\u001b[0m\n"]}, {"name": "stderr", "output_type": "stream", "text": ["Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 1.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n"]}, {"name": "stdout", "output_type": "stream", "text": ["\n", "\u001b[1m> Finished chain.\u001b[0m\n", "\n", "\n", "\u001b[1m> Entering new  chain...\u001b[0m\n"]}, {"name": "stderr", "output_type": "stream", "text": ["Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 1.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 2.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 4.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 8.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n"]}, {"name": "stdout", "output_type": "stream", "text": ["\n", "\u001b[1m> Finished chain.\u001b[0m\n", "\n", "\n", "\u001b[1m> Entering new  chain...\u001b[0m\n"]}, {"name": "stderr", "output_type": "stream", "text": ["Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 1.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 2.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 4.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 8.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n"]}, {"name": "stdout", "output_type": "stream", "text": ["\n", "\u001b[1m> Finished chain.\u001b[0m\n", "\n", "\n", "\u001b[1m> Entering new  chain...\u001b[0m\n"]}, {"name": "stderr", "output_type": "stream", "text": ["Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 1.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 2.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 4.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 8.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n"]}, {"name": "stdout", "output_type": "stream", "text": ["\n", "\u001b[1m> Finished chain.\u001b[0m\n", "\n", "\n", "\u001b[1m> Entering new  chain...\u001b[0m\n"]}, {"name": "stderr", "output_type": "stream", "text": ["Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 1.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 2.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 4.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 8.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 16.0 seconds as it raised APIError: Bad gateway. {\"error\":{\"code\":502,\"message\":\"Bad gateway.\",\"param\":null,\"type\":\"cf_bad_gateway\"}} 502 {'error': {'code': 502, 'message': 'Bad gateway.', 'param': None, 'type': 'cf_bad_gateway'}} {'Date': 'Thu, 29 Jun 2023 02:20:57 GMT', 'Content-Type': 'application/json', 'Content-Length': '84', 'Connection': 'keep-alive', 'X-Frame-Options': 'SAMEORIGIN', 'Referrer-Policy': 'same-origin', 'Cache-Control': 'private, max-age=0, no-store, no-cache, must-revalidate, post-check=0, pre-check=0', 'Expires': 'Thu, 01 Jan 1970 00:00:01 GMT', 'Server': 'cloudflare', 'CF-RAY': '7deaa9d4cd2640da-SIN', 'alt-svc': 'h3=\":443\"; ma=86400'}.\n"]}, {"name": "stdout", "output_type": "stream", "text": ["\n", "\u001b[1m> Finished chain.\u001b[0m\n", "\n", "\n", "\u001b[1m> Entering new  chain...\u001b[0m\n", "\n", "\u001b[1m> Finished chain.\u001b[0m\n", "\n", "\n", "\u001b[1m> Entering new  chain...\u001b[0m\n", "\n", "\u001b[1m> Finished chain.\u001b[0m\n", "\n", "\n", "\u001b[1m> Entering new  chain...\u001b[0m\n"]}, {"name": "stderr", "output_type": "stream", "text": ["Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 1.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 2.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 4.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 8.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n"]}, {"name": "stdout", "output_type": "stream", "text": ["\n", "\u001b[1m> Finished chain.\u001b[0m\n", "\n", "\n", "\u001b[1m> Entering new  chain...\u001b[0m\n"]}, {"name": "stderr", "output_type": "stream", "text": ["Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 1.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 2.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 4.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 8.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n"]}, {"name": "stdout", "output_type": "stream", "text": ["\n", "\u001b[1m> Finished chain.\u001b[0m\n"]}], "source": ["predictions = qa.apply(examples) #\u4e3a\u6240\u6709\u4e0d\u540c\u7684\u793a\u4f8b\u521b\u5efa\u9884\u6d4b"]}, {"cell_type": "code", "execution_count": 51, "id": "c71d3d2f", "metadata": {}, "outputs": [], "source": ["''' \n", "\u5bf9\u9884\u6d4b\u7684\u7ed3\u679c\u8fdb\u884c\u8bc4\u4f30\uff0c\u5bfc\u5165QA\u95ee\u9898\u56de\u7b54\uff0c\u8bc4\u4f30\u94fe\uff0c\u901a\u8fc7\u8bed\u8a00\u6a21\u578b\u521b\u5efa\u6b64\u94fe\n", "'''\n", "from langchain.evaluation.qa import QAEvalChain #\u5bfc\u5165QA\u95ee\u9898\u56de\u7b54\uff0c\u8bc4\u4f30\u94fe"]}, {"cell_type": "code", "execution_count": 52, "id": "ac1c848f", "metadata": {}, "outputs": [], "source": ["#\u901a\u8fc7\u8c03\u7528chatGPT\u8fdb\u884c\u8bc4\u4f30\n", "llm = ChatOpenAI(temperature=0)\n", "eval_chain = QAEvalChain.from_llm(llm)"]}, {"cell_type": "code", "execution_count": 53, "id": "50c1250a", "metadata": {}, "outputs": [{"name": "stderr", "output_type": "stream", "text": ["Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 1.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 2.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 4.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 8.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 16.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 1.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 2.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 1.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 2.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 4.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 8.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 16.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 1.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 2.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 1.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 2.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 4.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 8.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 16.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 1.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 2.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 4.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 1.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 2.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 4.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 8.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 1.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 2.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 4.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 8.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 16.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 1.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 2.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 4.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n"]}], "source": ["graded_outputs = eval_chain.evaluate(examples, predictions)#\u5728\u6b64\u94fe\u4e0a\u8c03\u7528evaluate\uff0c\u8fdb\u884c\u8bc4\u4f30"]}, {"cell_type": "markdown", "id": "72dc8595", "metadata": {}, "source": ["#### \u8bc4\u4f30\u601d\u8def\n", "\u5f53\u5b83\u9762\u524d\u6709\u6574\u4e2a\u6587\u6863\u65f6\uff0c\u5b83\u53ef\u4ee5\u751f\u6210\u4e00\u4e2a\u771f\u5b9e\u7684\u7b54\u6848\uff0c\u6211\u4eec\u5c06\u6253\u5370\u51fa\u9884\u6d4b\u7684\u7b54\uff0c\u5f53\u5b83\u8fdb\u884cQA\u94fe\u65f6\uff0c\u4f7f\u7528embedding\u548c\u5411\u91cf\u6570\u636e\u5e93\u8fdb\u884c\u68c0\u7d22\u65f6\uff0c\u5c06\u5176\u4f20\u9012\u5230\u8bed\u8a00\u6a21\u578b\u4e2d\uff0c\u7136\u540e\u5c1d\u8bd5\u731c\u6d4b\u9884\u6d4b\u7684\u7b54\u6848\uff0c\u6211\u4eec\u8fd8\u5c06\u6253\u5370\u51fa\u6210\u7ee9\uff0c\u8fd9\u4e5f\u662f\u8bed\u8a00\u6a21\u578b\u751f\u6210\u7684\u3002\u5f53\u5b83\u8981\u6c42\u8bc4\u4f30\u94fe\u8bc4\u4f30\u6b63\u5728\u53d1\u751f\u7684\u4e8b\u60c5\u65f6\uff0c\u4ee5\u53ca\u5b83\u662f\u5426\u6b63\u786e\u6216\u4e0d\u6b63\u786e\u3002\u56e0\u6b64\uff0c\u5f53\u6211\u4eec\u5faa\u73af\u904d\u5386\u6240\u6709\u8fd9\u4e9b\u793a\u4f8b\u5e76\u5c06\u5b83\u4eec\u6253\u5370\u51fa\u6765\u65f6\uff0c\u53ef\u4ee5\u8be6\u7ec6\u4e86\u89e3\u6bcf\u4e2a\u793a\u4f8b"]}, {"cell_type": "code", "execution_count": 54, "id": "bf21e40a", "metadata": {}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["Example 0:\n", "Question: \u9ad8\u6e05\u7535\u89c6\u673a\u600e\u4e48\u8fdb\u884c\u62a4\u7406\uff1f\n", "Real Answer: \u4f7f\u7528\u5e72\u5e03\u6e05\u6d01\u3002\n", "Predicted Answer: \u9ad8\u6e05\u7535\u89c6\u673a\u7684\u62a4\u7406\u975e\u5e38\u7b80\u5355\u3002\u60a8\u53ea\u9700\u8981\u4f7f\u7528\u5e72\u5e03\u6e05\u6d01\u5373\u53ef\u3002\u907f\u514d\u4f7f\u7528\u6e7f\u5e03\u6216\u5316\u5b66\u6e05\u6d01\u5242\uff0c\u4ee5\u514d\u635f\u574f\u7535\u89c6\u673a\u7684\u8868\u9762\u3002\n", "Predicted Grade: CORRECT\n", "\n", "Example 1:\n", "Question: \u65c5\u884c\u80cc\u5305\u6709\u5185\u5916\u888b\u5417\uff1f\n", "Real Answer: \u6709\u3002\n", "Predicted Answer: \u662f\u7684\uff0c\u65c5\u884c\u80cc\u5305\u6709\u591a\u4e2a\u5b9e\u7528\u7684\u5185\u5916\u888b\uff0c\u53ef\u4ee5\u8f7b\u677e\u88c5\u4e0b\u60a8\u7684\u5fc5\u9700\u54c1\u3002\n", "Predicted Grade: CORRECT\n", "\n", "Example 2:\n", "Question: \u8fd9\u6b3e\u5168\u81ea\u52a8\u5496\u5561\u673a\u6709\u4ec0\u4e48\u7279\u70b9\u548c\u4f18\u52bf\uff1f\n", "Real Answer: \u8fd9\u6b3e\u5168\u81ea\u52a8\u5496\u5561\u673a\u7684\u7279\u70b9\u548c\u4f18\u52bf\u5305\u62ec\u4e00\u952e\u64cd\u4f5c\u3001\u5185\u7f6e\u7814\u78e8\u5668\u548c\u6ee4\u7f51\u3001\u9884\u8bbe\u591a\u79cd\u5496\u5561\u6a21\u5f0f\u3001\u8010\u7528\u6027\u548c\u4e00\u81f4\u6027\uff0c\u4ee5\u53ca\u7531\u9ad8\u54c1\u8d28\u4e0d\u9508\u94a2\u5236\u6210\u7684\u6784\u9020\u3002\n", "Predicted Answer: \u8fd9\u6b3e\u5168\u81ea\u52a8\u5496\u5561\u673a\u6709\u4ee5\u4e0b\u7279\u70b9\u548c\u4f18\u52bf\uff1a\n", "1. \u4e00\u952e\u64cd\u4f5c\uff1a\u53ea\u9700\u6309\u4e0b\u6309\u94ae\uff0c\u5373\u53ef\u7814\u78e8\u5496\u5561\u8c46\u5e76\u6c8f\u5236\u51fa\u60a8\u559c\u7231\u7684\u5496\u5561\uff0c\u975e\u5e38\u65b9\u4fbf\u3002\n", "2. \u8010\u7528\u6027\u548c\u4e00\u81f4\u6027\uff1a\u8fd9\u6b3e\u5496\u5561\u673a\u5177\u6709\u8010\u7528\u6027\u548c\u4e00\u81f4\u6027\uff0c\u4f7f\u5176\u6210\u4e3a\u5bb6\u5ead\u548c\u529e\u516c\u5ba4\u7684\u7406\u60f3\u9009\u62e9\u3002\n", "3. \u5185\u7f6e\u7814\u78e8\u5668\u548c\u6ee4\u7f51\uff1a\u5496\u5561\u673a\u5185\u7f6e\u7814\u78e8\u5668\u548c\u6ee4\u7f51\uff0c\u53ef\u4ee5\u786e\u4fdd\u5496\u5561\u7684\u65b0\u9c9c\u548c\u53e3\u611f\u3002\n", "4. \u591a\u79cd\u5496\u5561\u6a21\u5f0f\uff1a\u5496\u5561\u673a\u9884\u8bbe\u4e86\u591a\u79cd\u5496\u5561\u6a21\u5f0f\uff0c\u53ef\u4ee5\u6839\u636e\u4e2a\u4eba\u53e3\u5473\u9009\u62e9\u4e0d\u540c\u7684\u5496\u5561\u3002\n", "5. \u9ad8\u54c1\u8d28\u6750\u6599\uff1a\u5496\u5561\u673a\u7531\u9ad8\u54c1\u8d28\u4e0d\u9508\u94a2\u5236\u6210\uff0c\u5177\u6709\u4f18\u826f\u7684\u8010\u7528\u6027\u548c\u8d28\u611f\u3002\n", "6. \u4e2d\u56fd\u5236\u9020\uff1a\u8fd9\u6b3e\u5496\u5561\u673a\u662f\u5728\u4e2d\u56fd\u5236\u9020\u7684\uff0c\u5177\u6709\u53ef\u9760\u7684\u54c1\u8d28\u4fdd\u8bc1\u3002\n", "Predicted Grade: CORRECT\n", "\n", "Example 3:\n", "Question: \u8fd9\u6b3e\u7535\u52a8\u7259\u5237\u7684\u89c4\u683c\u662f\u4ec0\u4e48\uff1f\n", "Real Answer: \u8fd9\u6b3e\u7535\u52a8\u7259\u5237\u7684\u89c4\u683c\u662f\u4e00\u822c\u5927\u5c0f\uff0c\u9ad8\u5ea6\u4e3a9.5\u82f1\u5bf8\uff0c\u5bbd\u5ea6\u4e3a1\u82f1\u5bf8\u3002\n", "Predicted Answer: \u8fd9\u6b3e\u7535\u52a8\u7259\u5237\u7684\u89c4\u683c\u662f\uff1a\u9ad8\u5ea6\u4e3a9.5\u82f1\u5bf8\uff0c\u5bbd\u5ea6\u4e3a1\u82f1\u5bf8\u3002\n", "Predicted Grade: CORRECT\n", "\n", "Example 4:\n", "Question: \u8fd9\u6b3e\u6a59\u5473\u7ef4\u751f\u7d20C\u6ce1\u817e\u7247\u7684\u89c4\u683c\u662f\u4ec0\u4e48\uff1f\n", "Real Answer: \u8fd9\u6b3e\u6a59\u5473\u7ef4\u751f\u7d20C\u6ce1\u817e\u7247\u6bcf\u76d2\u542b\u670920\u7247\u3002\n", "Predicted Answer: \u8fd9\u6b3e\u6a59\u5473\u7ef4\u751f\u7d20C\u6ce1\u817e\u7247\u7684\u89c4\u683c\u662f\u6bcf\u76d2\u542b\u670920\u7247\u3002\n", "Predicted Grade: CORRECT\n", "\n", "Example 5:\n", "Question: \u8fd9\u6b3e\u65e0\u7ebf\u84dd\u7259\u8033\u673a\u7684\u89c4\u683c\u662f\u4ec0\u4e48\uff1f\n", "Real Answer: \u5355\u4e2a\u8033\u673a\u5c3a\u5bf8\u4e3a1.5'' x 1.3''\u3002\n", "Predicted Answer: \u8fd9\u6b3e\u65e0\u7ebf\u84dd\u7259\u8033\u673a\u7684\u89c4\u683c\u662f\u5355\u4e2a\u8033\u673a\u5c3a\u5bf8\u4e3a1.5'' x 1.3''\u3002\n", "Predicted Grade: CORRECT\n", "\n", "Example 6:\n", "Question: \u8fd9\u4e2a\u4ea7\u54c1\u7684\u540d\u79f0\u662f\u4ec0\u4e48\uff1f\n", "Real Answer: \u745c\u4f3d\u57ab\n", "Predicted Answer: \u8fd9\u4e2a\u4ea7\u54c1\u7684\u540d\u79f0\u662f\u513f\u7ae5\u76ca\u667a\u73a9\u5177\u3002\n", "Predicted Grade: INCORRECT\n", "\n", "Example 7:\n", "Question: \u8fd9\u6b3e\u5168\u81ea\u52a8\u5496\u5561\u673a\u7684\u89c4\u683c\u662f\u4ec0\u4e48\uff1f\n", "Real Answer: \u5927\u578b\u5c3a\u5bf8\u4e3a13.8'' x 17.3''\uff0c\u4e2d\u578b\u5c3a\u5bf8\u4e3a11.5'' x 15.2''\u3002\n", "Predicted Answer: \u8fd9\u6b3e\u5168\u81ea\u52a8\u5496\u5561\u673a\u6709\u4e24\u79cd\u89c4\u683c\uff1a\n", "- \u5927\u578b\u5c3a\u5bf8\u4e3a13.8'' x 17.3''\u3002\n", "- \u4e2d\u578b\u5c3a\u5bf8\u4e3a11.5'' x 15.2''\u3002\n", "Predicted Grade: CORRECT\n", "\n", "Example 8:\n", "Question: \u8fd9\u6b3e\u7535\u52a8\u7259\u5237\u7684\u9ad8\u5ea6\u548c\u5bbd\u5ea6\u5206\u522b\u662f\u591a\u5c11\uff1f\n", "Real Answer: \u8fd9\u6b3e\u7535\u52a8\u7259\u5237\u7684\u9ad8\u5ea6\u662f9.5\u82f1\u5bf8\uff0c\u5bbd\u5ea6\u662f1\u82f1\u5bf8\u3002\n", "Predicted Answer: \u8fd9\u6b3e\u7535\u52a8\u7259\u5237\u7684\u9ad8\u5ea6\u662f9.5\u82f1\u5bf8\uff0c\u5bbd\u5ea6\u662f1\u82f1\u5bf8\u3002\n", "Predicted Grade: CORRECT\n", "\n", "Example 9:\n", "Question: \u8fd9\u6b3e\u6a59\u5473\u7ef4\u751f\u7d20C\u6ce1\u817e\u7247\u7684\u89c4\u683c\u662f\u4ec0\u4e48\uff1f\n", "Real Answer: \u6bcf\u76d2\u542b\u670920\u7247\u3002\n", "Predicted Answer: \u8fd9\u6b3e\u6a59\u5473\u7ef4\u751f\u7d20C\u6ce1\u817e\u7247\u7684\u89c4\u683c\u662f\u6bcf\u76d2\u542b\u670920\u7247\u3002\n", "Predicted Grade: CORRECT\n", "\n", "Example 10:\n", "Question: \u8fd9\u6b3e\u65e0\u7ebf\u84dd\u7259\u8033\u673a\u7684\u5c3a\u5bf8\u662f\u591a\u5c11\uff1f\n", "Real Answer: \u8fd9\u6b3e\u65e0\u7ebf\u84dd\u7259\u8033\u673a\u7684\u5c3a\u5bf8\u662f1.5'' x 1.3''\u3002\n", "Predicted Answer: \u8fd9\u6b3e\u65e0\u7ebf\u84dd\u7259\u8033\u673a\u7684\u5c3a\u5bf8\u662f1.5'' x 1.3''\u3002\n", "Predicted Grade: CORRECT\n", "\n", "Example 11:\n", "Question: \u8fd9\u6b3e\u745c\u4f3d\u57ab\u7684\u5c3a\u5bf8\u662f\u591a\u5c11\uff1f\n", "Real Answer: \u8fd9\u6b3e\u745c\u4f3d\u57ab\u7684\u5c3a\u5bf8\u662f24'' x 68''\u3002\n", "Predicted Answer: \u8fd9\u6b3e\u745c\u4f3d\u57ab\u7684\u5c3a\u5bf8\u662f24'' x 68''\u3002\n", "Predicted Grade: CORRECT\n", "\n"]}], "source": ["#\u6211\u4eec\u5c06\u4f20\u5165\u793a\u4f8b\u548c\u9884\u6d4b\uff0c\u5f97\u5230\u4e00\u5806\u5206\u7ea7\u8f93\u51fa\uff0c\u5faa\u73af\u904d\u5386\u5b83\u4eec\u6253\u5370\u7b54\u6848\n", "for i, eg in enumerate(examples):\n", "    print(f\"Example {i}:\")\n", "    print(\"Question: \" + predictions[i]['query'])\n", "    print(\"Real Answer: \" + predictions[i]['answer'])\n", "    print(\"Predicted Answer: \" + predictions[i]['result'])\n", "    print(\"Predicted Grade: \" + graded_outputs[i]['text'])\n", "    print()"]}, {"cell_type": "markdown", "id": "ece7c7b4", "metadata": {}, "source": ["#### \u7ed3\u679c\u5206\u6790\n", "\u5bf9\u4e8e\u6bcf\u4e2a\u793a\u4f8b\uff0c\u5b83\u770b\u8d77\u6765\u90fd\u662f\u6b63\u786e\u7684\uff0c\u8ba9\u6211\u4eec\u770b\u770b\u7b2c\u4e00\u4e2a\u4f8b\u5b50\u3002\n", "\u8fd9\u91cc\u7684\u95ee\u9898\u662f\uff0c\u65c5\u884c\u80cc\u5305\u6709\u5185\u5916\u888b\u5417\uff1f\u771f\u6b63\u7684\u7b54\u6848\uff0c\u6211\u4eec\u521b\u5efa\u4e86\u8fd9\u4e2a\uff0c\u662f\u80af\u5b9a\u7684\u3002\u6a21\u578b\u9884\u6d4b\u7684\u7b54\u6848\u662f\u662f\u7684\uff0c\u65c5\u884c\u80cc\u5305\u6709\u591a\u4e2a\u5b9e\u7528\u7684\u5185\u5916\u888b\uff0c\u53ef\u4ee5\u8f7b\u677e\u88c5\u4e0b\u60a8\u7684\u5fc5\u9700\u54c1\u3002\u56e0\u6b64\uff0c\u6211\u4eec\u53ef\u4ee5\u7406\u89e3\u8fd9\u662f\u4e00\u4e2a\u6b63\u786e\u7684\u7b54\u6848\u3002\u5b83\u5c06\u5176\u8bc4\u4e3a\u6b63\u786e\u3002    \n", "#### \u4f7f\u7528\u6a21\u578b\u8bc4\u4f30\u7684\u4f18\u52bf\n", "\n", "\u4f60\u6709\u8fd9\u4e9b\u7b54\u6848\uff0c\u5b83\u4eec\u662f\u4efb\u610f\u7684\u5b57\u7b26\u4e32\u3002\u6ca1\u6709\u5355\u4e00\u7684\u771f\u5b9e\u5b57\u7b26\u4e32\u662f\u6700\u597d\u7684\u53ef\u80fd\u7b54\u6848\uff0c\u6709\u8bb8\u591a\u4e0d\u540c\u7684\u53d8\u4f53\uff0c\u53ea\u8981\u5b83\u4eec\u5177\u6709\u76f8\u540c\u7684\u8bed\u4e49\uff0c\u5b83\u4eec\u5e94\u8be5\u88ab\u8bc4\u4e3a\u76f8\u4f3c\u3002\u5982\u679c\u4f7f\u7528\u6b63\u5219\u8fdb\u884c\u7cbe\u51c6\u5339\u914d\u5c31\u4f1a\u4e22\u5931\u8bed\u4e49\u4fe1\u606f\uff0c\u5230\u76ee\u524d\u4e3a\u6b62\u5b58\u5728\u7684\u8bb8\u591a\u8bc4\u4f30\u6307\u6807\u90fd\u4e0d\u591f\u597d\u3002\u76ee\u524d\u6700\u6709\u8da3\u548c\u6700\u53d7\u6b22\u8fce\u7684\u4e4b\u4e00\u5c31\u662f\u4f7f\u7528\u8bed\u8a00\u6a21\u578b\u8fdb\u884c\u8bc4\u4f30\u3002"]}], "metadata": {"kernelspec": {"display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3"}, "language_info": {"codemirror_mode": {"name": "ipython", "version": 3}, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.12"}, "toc": {"base_numbering": 1, "nav_menu": {}, "number_sections": false, "sideBar": true, "skip_h1_title": false, "title_cell": "Table of Contents", "title_sidebar": "Contents", "toc_cell": false, "toc_position": {"height": "calc(100% - 180px)", "left": "10px", "top": "150px", "width": "261.818px"}, "toc_section_display": true, "toc_window_display": true}}, "nbformat": 4, "nbformat_minor": 5}
\ No newline at end of file
diff --git "a/content/\345\277\205\344\277\256\344\270\211-LangChain for LLM Application Development/7.\344\273\243\347\220\206 Agent.ipynb" "b/content/\345\277\205\344\277\256\344\270\211-LangChain for LLM Application Development/7.\344\273\243\347\220\206 Agent.ipynb"
index 476235dc..8b107496 100644
--- "a/content/\345\277\205\344\277\256\344\270\211-LangChain for LLM Application Development/7.\344\273\243\347\220\206 Agent.ipynb"	
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@@ -1 +1 @@
-{"cells":[{"cell_type":"markdown","id":"2caa79ba-45e3-437c-9cb6-e433f443f0bf","metadata":{},"source":["# 第七章 代理\n","\n"," - [一、设置OpenAI API Key](#一、设置OpenAI-API-Key)\n"," - [二、LangChain内置工具](#二、LangChain内置工具)\n","     - [2.1 使用llm-math和wikipedia工具](#2.1-使用llm-math和wikipedia工具)\n","     - [2.2 使用PythonREPLTool工具](#2.2-使用PythonREPLTool工具)\n"," - [三、 定义自己的工具并在代理中使用](#三、-定义自己的工具并在代理中使用)\n","     - [3.1 创建和使用自定义时间工具](#3.1-创建和使用自定义时间工具)\n"]},{"cell_type":"markdown","id":"8a31726a-82ac-46e4-a51e-7747fc4c6aed","metadata":{"tags":[]},"source":["## 一、设置OpenAI API Key\n","\n","登陆 [OpenAI 账户](https://platform.openai.com/account/api-keys) 获取API Key，然后将其设置为环境变量。\n","\n","- 如果你想要设置为全局环境变量，可以参考[知乎文章](https://zhuanlan.zhihu.com/p/627665725)。\n","- 如果你想要设置为本地/项目环境变量，在本文件目录下创建`.env`文件, 打开文件输入以下内容。\n","\n","    <p style=\"font-family:verdana; font-size:12px;color:green\">\n","    OPENAI_API_KEY=\"your_api_key\" \n","    </p>\n","  \n","  替换\"your_api_key\"为你自己的 API Key"]},{"cell_type":"code","execution_count":1,"id":"312f4c23-fe27-4cda-a645-8e1519c2febf","metadata":{"tags":[]},"outputs":[],"source":["import os\n","import openai\n","from dotenv import load_dotenv, find_dotenv\n","\n","# 读取本地/项目的环境变量。\n","\n","# find_dotenv()寻找并定位.env文件的路径\n","# load_dotenv()读取该.env文件，并将其中的环境变量加载到当前的运行环境中  \n","# 如果你设置的是全局的环境变量，这行代码则没有任何作用。\n","_ = load_dotenv(find_dotenv())\n","\n","# 获取环境变量 OPENAI_API_KEY\n","openai.api_key = os.environ['OPENAI_API_KEY']  "]},{"cell_type":"markdown","id":"631c764b-68fa-483a-80a5-9a322cd1117c","metadata":{},"source":["## 二、LangChain内置工具"]},{"cell_type":"code","execution_count":2,"id":"bc80a8a7-a66e-4fbb-8d57-05004a3e77c7","metadata":{},"outputs":[],"source":["from langchain.agents import load_tools, initialize_agent\n","from langchain.agents import AgentType\n","from langchain.python import PythonREPL\n","from langchain.chat_models.openai import ChatOpenAI"]},{"cell_type":"markdown","id":"d5a3655c-4d5e-4a86-8bf4-a11bd1525059","metadata":{},"source":["### 2.1 使用llm-math和wikipedia工具"]},{"cell_type":"markdown","id":"e484d285-2110-4a06-a360-55313d6d9ffc","metadata":{},"source":["#### 1️⃣ 初始化大语言模型\n","\n","- 默认密钥`openai_api_key`为环境变量`OPENAI_API_KEY`。因此在运行以下代码之前，确保你已经设置环境变量`OPENAI_API_KEY`。如果还没有密钥，请[获取你的API Key](https://platform.openai.com/account/api-keys) 。\n","- 默认模型`model_name`为`gpt-3.5-turbo`。\n","- 更多关于模型默认参数请查看[这里](https://github.com/hwchase17/langchain/blob/master/langchain/chat_models/openai.py)。"]},{"cell_type":"code","execution_count":3,"id":"71e5894f-fc50-478b-a3d3-58891cc46ffc","metadata":{},"outputs":[{"name":"stderr","output_type":"stream","text":["/Users/lta/anaconda3/envs/cookbook/lib/python3.10/site-packages/langchain_core/_api/deprecation.py:119: LangChainDeprecationWarning: The class `ChatOpenAI` was deprecated in LangChain 0.0.10 and will be removed in 0.3.0. An updated version of the class exists in the langchain-openai package and should be used instead. To use it run `pip install -U langchain-openai` and import as `from langchain_openai import ChatOpenAI`.\n","  warn_deprecated(\n"]}],"source":["# 参数temperature设置为0.0，从而减少生成答案的随机性。\n","llm = ChatOpenAI(temperature=0)"]},{"cell_type":"markdown","id":"d7f75023-1825-4d74-bc8e-2c362f551fd1","metadata":{"tags":[]},"source":["#### 2️⃣ 加载工具包\n","- `llm-math` 工具结合语言模型和计算器用以进行数学计算\n","- `wikipedia`工具通过API连接到wikipedia进行搜索查询。"]},{"cell_type":"code","execution_count":4,"id":"3541b866-8a35-4b6f-bfe6-66edb1d666cd","metadata":{},"outputs":[],"source":["tools = load_tools(\n","    [\"llm-math\",\"wikipedia\"], \n","    llm=llm #第一步初始化的模型\n",")"]},{"cell_type":"markdown","id":"e5b4fcc8-8817-4a94-b154-3f328480e441","metadata":{},"source":["#### 3️⃣ 初始化代理\n","\n","- `agent`: 代理类型。这里使用的是`AgentType.CHAT_ZERO_SHOT_REACT_DESCRIPTION`。其中`CHAT`代表代理模型为针对对话优化的模型，`REACT`代表针对REACT设计的提示模版。\n","- `handle_parsing_errors`: 是否处理解析错误。当发生解析错误时，将错误信息返回给大模型，让其进行纠正。\n","- `verbose`: 是否输出中间步骤结果。"]},{"cell_type":"code","execution_count":5,"id":"e7cdc782-2b8c-4649-ae1e-cabacee1a757","metadata":{},"outputs":[{"name":"stderr","output_type":"stream","text":["/Users/lta/anaconda3/envs/cookbook/lib/python3.10/site-packages/langchain_core/_api/deprecation.py:119: LangChainDeprecationWarning: The function `initialize_agent` was deprecated in LangChain 0.1.0 and will be removed in 0.3.0. Use Use new agent constructor methods like create_react_agent, create_json_agent, create_structured_chat_agent, etc. instead.\n","  warn_deprecated(\n"]}],"source":["agent= initialize_agent(\n","    tools, #第二步加载的工具\n","    llm, #第一步初始化的模型\n","    agent=AgentType.CHAT_ZERO_SHOT_REACT_DESCRIPTION,  #代理类型\n","    handle_parsing_errors=True, #处理解析错误\n","    verbose = True #输出中间步骤\n",")"]},{"cell_type":"markdown","id":"b980137a-a1d2-4c19-80c8-ec380f9c1efe","metadata":{"tags":[]},"source":["#### 4️⃣.1️⃣ 使用代理回答数学问题"]},{"cell_type":"code","execution_count":6,"id":"1e2bcd3b-ae72-4fa1-b38e-d0ce650e1f31","metadata":{},"outputs":[{"name":"stderr","output_type":"stream","text":["/Users/lta/anaconda3/envs/cookbook/lib/python3.10/site-packages/langchain_core/_api/deprecation.py:119: LangChainDeprecationWarning: The method `Chain.__call__` was deprecated in langchain 0.1.0 and will be removed in 0.3.0. Use invoke instead.\n","  warn_deprecated(\n"]},{"name":"stdout","output_type":"stream","text":["\n","\n","\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n","\u001b[32;1m\u001b[1;3mQuestion: 计算300的25%，思考过程请使用中文。\n","Thought: 首先，我们知道25%可以表示为0.25，然后将300乘以0.25即可得到答案。\n","Action:\n","```\n","{\n","  \"action\": \"Calculator\",\n","  \"action_input\": \"300*0.25\"\n","}\n","```\n","\u001b[0m\n","Observation: \u001b[36;1m\u001b[1;3mAnswer: 75.0\u001b[0m\n","Thought:\u001b[32;1m\u001b[1;3mFinal Answer: 75.0\u001b[0m\n","\n","\u001b[1m> Finished chain.\u001b[0m\n"]},{"data":{"text/plain":["{'input': '计算300的25%，思考过程请使用中文。', 'output': '75.0'}"]},"execution_count":6,"metadata":{},"output_type":"execute_result"}],"source":["agent(\"计算300的25%，思考过程请使用中文。\") "]},{"cell_type":"markdown","id":"05bb0811-d71e-4016-868b-efbb651d8e59","metadata":{},"source":["✅ **总结**\n","\n","1. 模型对于接下来需要做什么，给出思考（Thought） \n","    \n","   <p style=\"font-family:verdana; font-size:12px;color:green\"> <strong>思考</strong>：我们需要计算300的25%，这个过程中需要用到乘法和除法。</p>\n","\n","2. 模型基于思考采取行动（Action）\n","    <p style=\"font-family:verdana; font-size:12px;color:green\"> <strong>行动</strong>: 使用计算器（calculator），输入300*0.25</p>\n","3. 模型得到观察（Observation）\n","    <p style=\"font-family:verdana; font-size:12px;color:green\"><strong>观察</strong>：答案: 75.0</p>\n","\n","4. 基于观察，模型对于接下来需要做什么，给出思考（Thought）\n","    <p style=\"font-family:verdana; font-size:12px;color:green\"> <strong>思考</strong>: 我们的问题有了答案 </p>\n","\n","5. 给出最终答案（Final Answer）\n","     <p style=\"font-family:verdana; font-size:12px;color:green\"> <strong>最终答案</strong>: 75.0 </p>\n","5. 以字典的形式给出最终答案。"]},{"cell_type":"markdown","id":"bdd13d06-0f0e-4918-ac28-339f524f8c76","metadata":{},"source":["#### 4️⃣.2️⃣ Tom M. Mitchell的书"]},{"cell_type":"code","execution_count":7,"id":"f43b5cbf-1011-491b-90e8-09cf903fb866","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["\n","\n","\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n","\u001b[32;1m\u001b[1;3mThought: I can use Wikipedia to find out which book Tom M. Mitchell wrote.\n","Action:\n","```\n","{\n","  \"action\": \"wikipedia\",\n","  \"action_input\": \"Tom M. Mitchell\"\n","}\n","```\u001b[0m"]},{"name":"stderr","output_type":"stream","text":["/Users/lta/anaconda3/envs/cookbook/lib/python3.10/site-packages/wikipedia/wikipedia.py:389: GuessedAtParserWarning: No parser was explicitly specified, so I'm using the best available HTML parser for this system (\"html.parser\"). This usually isn't a problem, but if you run this code on another system, or in a different virtual environment, it may use a different parser and behave differently.\n","\n","The code that caused this warning is on line 389 of the file /Users/lta/anaconda3/envs/cookbook/lib/python3.10/site-packages/wikipedia/wikipedia.py. To get rid of this warning, pass the additional argument 'features=\"html.parser\"' to the BeautifulSoup constructor.\n","\n","  lis = BeautifulSoup(html).find_all('li')\n"]},{"name":"stdout","output_type":"stream","text":["\n","Observation: \u001b[33;1m\u001b[1;3mPage: Tom M. Mitchell\n","Summary: Tom Michael Mitchell (born August 9, 1951) is an American computer scientist and the Founders University Professor at Carnegie Mellon University (CMU). He is a founder and former Chair of the Machine Learning Department at CMU. Mitchell is known for his contributions to the advancement of machine learning, artificial intelligence, and cognitive neuroscience and is the author of the textbook Machine Learning. He is a member of the United States National Academy of Engineering since 2010. He is also a Fellow of the American Academy of Arts and Sciences, the American Association for the Advancement of Science and a Fellow and past President of the Association for the Advancement of Artificial Intelligence. In October 2018, Mitchell was appointed as the Interim Dean of the School of Computer Science at Carnegie Mellon.\n","\n","Page: Tom Mitchell (Australian footballer)\n","Summary: Thomas Mitchell (born 31 May 1993) is a professional Australian rules footballer playing for the Collingwood Football Club in the Australian Football League (AFL). He previously played for the Sydney Swans from 2012 to 2016, and the Hawthorn Football Club between 2017 and 2022. Mitchell won the Brownlow Medal as the league's best and fairest player in 2018 and set the record for the most disposals in a VFL/AFL match, accruing 54 in a game against Collingwood during that season. He would later join them in 2023, en route to winning the 2023 AFL Grand Final and his first AFL premiership.\u001b[0m\n","Thought:\u001b[32;1m\u001b[1;3mI have found that Tom M. Mitchell wrote the textbook \"Machine Learning.\"\n","Final Answer: Machine Learning\u001b[0m\n","\n","\u001b[1m> Finished chain.\u001b[0m\n"]},{"data":{"text/plain":["{'input': 'Tom M. Mitchell is an American computer scientist and the Founders University Professor at Carnegie Mellon University (CMU)what book did he write?',\n"," 'output': 'Machine Learning'}"]},"execution_count":7,"metadata":{},"output_type":"execute_result"}],"source":["question = \"Tom M. Mitchell is an American computer scientist \\\n","and the Founders University Professor at Carnegie Mellon University (CMU)\\\n","what book did he write?\"\n","agent(question) "]},{"cell_type":"markdown","id":"39e2f6fb-f229-4235-ad58-98a5f505800c","metadata":{},"source":["✅ **总结**\n","\n","1. 模型对于接下来需要做什么，给出思考（Thought） \n","   <p style=\"font-family:verdana; font-size:12px;color:green\"> <strong>思考</strong>：我应该使用维基百科去搜索。</p>\n","\n","2. 模型基于思考采取行动（Action）\n","    <p style=\"font-family:verdana; font-size:12px;color:green\"> <strong>行动</strong>: 使用维基百科，输入Tom M. Mitchell</p>\n","3. 模型得到观察（Observation）\n","    <p style=\"font-family:verdana; font-size:12px;color:green\"><strong>观测</strong>: 页面: Tom M. Mitchell，页面: Tom Mitchell (澳大利亚足球运动员)</p>\n","\n","4. 基于观察，模型对于接下来需要做什么，给出思考（Thought）\n","    <p style=\"font-family:verdana; font-size:12px;color:green\"> <strong>思考</strong>: Tom M. Mitchell写的书是Machine Learning </p>\n","\n","5. 给出最终答案（Final Answer）\n","     <p style=\"font-family:verdana; font-size:12px;color:green\"> <strong>最终答案</strong>: Machine Learning </p>\n","5. 以字典的形式给出最终答案。\n","\n","\n","值得注意的是，模型每次运行推理的过程可能存在差异，但最终的结果一致。"]},{"cell_type":"markdown","id":"5901cab6-a7c9-4590-b35d-d41c29e39a39","metadata":{},"source":["### 2.2 使用PythonREPLTool工具"]},{"cell_type":"markdown","id":"12b8d837-524c-46b8-9189-504808cf1f93","metadata":{},"source":["#### 1️⃣ 创建pyhon代理"]},{"cell_type":"code","execution_count":8,"id":"6c60d933-168d-4834-b29c-b2b43ade80cc","metadata":{},"outputs":[],"source":["from langchain_experimental.agents.agent_toolkits.python.base import create_python_agent\n","from langchain_experimental.tools.python.tool import PythonREPLTool\n","\n","agent = create_python_agent(\n","    llm,  #使用前面一节已经加载的大语言模型\n","    tool=PythonREPLTool(), #使用Python交互式环境工具（REPLTool）\n","    verbose=True #输出中间步骤\n",")"]},{"cell_type":"markdown","id":"d32ed40c-cbcd-4efd-b044-57e611f5fab5","metadata":{"tags":[]},"source":["#### 2️⃣ 使用代理对顾客名字进行排序"]},{"cell_type":"code","execution_count":9,"id":"3d416f28-8fdb-4761-a4f9-d46c6d37fb3d","metadata":{},"outputs":[],"source":["customer_list = [\"小明\",\"小黄\",\"小红\",\"小蓝\",\"小橘\",\"小绿\",]"]},{"cell_type":"code","execution_count":10,"id":"ba7f9a50-acf6-4fba-a1b9-503baa80266b","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["\n","\n","\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n"]},{"name":"stderr","output_type":"stream","text":["/Users/lta/anaconda3/envs/cookbook/lib/python3.10/site-packages/langchain_core/_api/deprecation.py:119: LangChainDeprecationWarning: The method `Chain.run` was deprecated in langchain 0.1.0 and will be removed in 0.3.0. Use invoke instead.\n","  warn_deprecated(\n","Python REPL can execute arbitrary code. Use with caution.\n"]},{"name":"stdout","output_type":"stream","text":["\u001b[32;1m\u001b[1;3m我们可以使用Python的拼音库来将中文名字转换为拼音。\n","Action: Python_REPL\n","Action Input: \n","```python\n","from xpinyin import Pinyin\n","p = Pinyin()\n","names = ['小明', '小黄', '小红', '小蓝', '小橘', '小绿']\n","pinyins = [p.get_pinyin(name, '') for name in names]\n","print(pinyins)\n","```\u001b[0m\n","Observation: \u001b[36;1m\u001b[1;3m['xiaoming', 'xiaohuang', 'xiaohong', 'xiaolan', 'xiaoju', 'xiaolv']\n","\u001b[0m\n","Thought:\u001b[32;1m\u001b[1;3m我们已经成功将这些客户名字转换为拼音。\n","Final Answer: ['xiaoming', 'xiaohuang', 'xiaohong', 'xiaolan', 'xiaoju', 'xiaolv']\u001b[0m\n","\n","\u001b[1m> Finished chain.\u001b[0m\n"]},{"data":{"text/plain":["\"['xiaoming', 'xiaohuang', 'xiaohong', 'xiaolan', 'xiaoju', 'xiaolv']\""]},"execution_count":10,"metadata":{},"output_type":"execute_result"}],"source":["agent.run(f\"\"\"在这些客户名字转换为拼音\\\n","并打印输出列表： {customer_list}\\\n","思考过程请使用中文。\"\"\") "]},{"cell_type":"markdown","id":"16f530a5-8c50-4648-951f-4e65d15ca93f","metadata":{"jp-MarkdownHeadingCollapsed":true,"tags":[]},"source":["#### 3️⃣ 使用调试模式"]},{"cell_type":"markdown","id":"951048dc-0414-410d-a0e9-6ef32bbdda89","metadata":{"tags":[]},"source":["在调试（debug）模式下再次运行，我们可以把上面的6步分别对应到下面的具体流程\n","1. 模型对于接下来需要做什么，给出思考（Thought）\n","    - <p style=\"font-family:verdana; font-size:12px;color:green\"> [chain/start] [1:chain:AgentExecutor] Entering Chain run with input</p>\n","    - <p style=\"font-family:verdana; font-size:12px;color:green\"> [chain/start] [1:chain:AgentExecutor > 2:chain:LLMChain] Entering Chain run with input</p>\n","    - <p style=\"font-family:verdana; font-size:12px;color:green\"> [llm/start] [1:chain:AgentExecutor > 2:chain:LLMChain > 3:llm:ChatOpenAI] Entering LLM run with input</p>\n","    - <p style=\"font-family:verdana; font-size:12px;color:green\"> [llm/end] [1:chain:AgentExecutor > 2:chain:LLMChain > 3:llm:ChatOpenAI] [12.25s] Exiting LLM run with output</p>\n","    - <p style=\"font-family:verdana; font-size:12px;color:green\">[chain/end] [1:chain:AgentExecutor > 2:chain:LLMChain] [12.25s] Exiting Chain run with output</p>\n","2. 模型基于思考采取行动（Action), 因为使用的工具不同，Action的输出也和之前有所不同，这里输出的为python代码\n","    - <p style=\"font-family:verdana; font-size:12px;color:green\"> [tool/start] [1:chain:AgentExecutor > 4:tool:Python REPL] Entering Tool run with input</p>\n","    - <p style=\"font-family:verdana; font-size:12px;color:green\"> [tool/end] [1:chain:AgentExecutor > 4:tool:Python REPL] [2.2239999999999998ms] Exiting Tool run with output</p>\n","3. 模型得到观察（Observation）   \n","    - <p style=\"font-family:verdana; font-size:12px;color:green\"> [chain/start] [1:chain:AgentExecutor > 5:chain:LLMChain] Entering Chain run with input</p>\n","4. 基于观察，模型对于接下来需要做什么，给出思考（Thought）   \n","    - <p style=\"font-family:verdana; font-size:12px;color:green\"> [llm/start] [1:chain:AgentExecutor > 5:chain:LLMChain > 6:llm:ChatOpenAI] Entering LLM run with input</p>\n","    - <p style=\"font-family:verdana; font-size:12px;color:green\"> [llm/end] [1:chain:AgentExecutor > 5:chain:LLMChain > 6:llm:ChatOpenAI] [6.94s] Exiting LLM run with output</p>\n","    \n","5. 给出最终答案（Final Answer） \n","    - <p style=\"font-family:verdana; font-size:12px;color:green\"> [chain/end] [1:chain:AgentExecutor > 5:chain:LLMChain] [6.94s] Exiting Chain run with output</p>\n","6. 返回最终答案。\n","    - <p style=\"font-family:verdana; font-size:12px;color:green\"> [chain/end] [1:chain:AgentExecutor] [19.20s] Exiting Chain run with output</p>"]},{"cell_type":"code","execution_count":11,"id":"92b8961b-b990-4540-a7f9-e4701dfaa616","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["\u001b[32;1m\u001b[1;3m[chain/start]\u001b[0m \u001b[1m[chain:AgentExecutor] Entering Chain run with input:\n","\u001b[0m{\n","  \"input\": \"在这些客户名字转换为拼音并打印输出列表： ['小明', '小黄', '小红', '小蓝', '小橘', '小绿']思考过程请使用中文。\"\n","}\n","\u001b[32;1m\u001b[1;3m[chain/start]\u001b[0m \u001b[1m[chain:AgentExecutor > chain:LLMChain] Entering Chain run with input:\n","\u001b[0m{\n","  \"input\": \"在这些客户名字转换为拼音并打印输出列表： ['小明', '小黄', '小红', '小蓝', '小橘', '小绿']思考过程请使用中文。\",\n","  \"agent_scratchpad\": \"\",\n","  \"stop\": [\n","    \"\\nObservation:\",\n","    \"\\n\\tObservation:\"\n","  ]\n","}\n","\u001b[32;1m\u001b[1;3m[llm/start]\u001b[0m \u001b[1m[chain:AgentExecutor > chain:LLMChain > llm:ChatOpenAI] Entering LLM run with input:\n","\u001b[0m{\n","  \"prompts\": [\n","    \"Human: You are an agent designed to write and execute python code to answer questions.\\nYou have access to a python REPL, which you can use to execute python code.\\nIf you get an error, debug your code and try again.\\nOnly use the output of your code to answer the question. \\nYou might know the answer without running any code, but you should still run the code to get the answer.\\nIf it does not seem like you can write code to answer the question, just return \\\"I don't know\\\" as the answer.\\n\\n\\nPython_REPL - A Python shell. Use this to execute python commands. Input should be a valid python command. If you want to see the output of a value, you should print it out with `print(...)`.\\n\\nUse the following format:\\n\\nQuestion: the input question you must answer\\nThought: you should always think about what to do\\nAction: the action to take, should be one of [Python_REPL]\\nAction Input: the input to the action\\nObservation: the result of the action\\n... (this Thought/Action/Action Input/Observation can repeat N times)\\nThought: I now know the final answer\\nFinal Answer: the final answer to the original input question\\n\\nBegin!\\n\\nQuestion: 在这些客户名字转换为拼音并打印输出列表： ['小明', '小黄', '小红', '小蓝', '小橘', '小绿']思考过程请使用中文。\\nThought:\"\n","  ]\n","}\n","\u001b[36;1m\u001b[1;3m[llm/end]\u001b[0m \u001b[1m[chain:AgentExecutor > chain:LLMChain > llm:ChatOpenAI] [2.74s] Exiting LLM run with output:\n","\u001b[0m{\n","  \"generations\": [\n","    [\n","      {\n","        \"text\": \"我们可以使用Python的拼音库来将中文名字转换为拼音。\\nAction: Python_REPL\\nAction Input: \\n```python\\nfrom xpinyin import Pinyin\\np = Pinyin()\\nnames = ['小明', '小黄', '小红', '小蓝', '小橘', '小绿']\\npinyins = [p.get_pinyin(name, '') for name in names]\\nprint(pinyins)\\n```\",\n","        \"generation_info\": {\n","          \"finish_reason\": \"stop\",\n","          \"logprobs\": null\n","        },\n","        \"type\": \"ChatGeneration\",\n","        \"message\": {\n","          \"lc\": 1,\n","          \"type\": \"constructor\",\n","          \"id\": [\n","            \"langchain\",\n","            \"schema\",\n","            \"messages\",\n","            \"AIMessage\"\n","          ],\n","          \"kwargs\": {\n","            \"content\": \"我们可以使用Python的拼音库来将中文名字转换为拼音。\\nAction: Python_REPL\\nAction Input: \\n```python\\nfrom xpinyin import Pinyin\\np = Pinyin()\\nnames = ['小明', '小黄', '小红', '小蓝', '小橘', '小绿']\\npinyins = [p.get_pinyin(name, '') for name in names]\\nprint(pinyins)\\n```\",\n","            \"response_metadata\": {\n","              \"token_usage\": {\n","                \"completion_tokens\": 104,\n","                \"prompt_tokens\": 322,\n","                \"total_tokens\": 426\n","              },\n","              \"model_name\": \"gpt-3.5-turbo\",\n","              \"system_fingerprint\": null,\n","              \"finish_reason\": \"stop\",\n","              \"logprobs\": null\n","            },\n","            \"type\": \"ai\",\n","            \"id\": \"run-1d856a5f-0d28-4156-bda0-c1bfb8a1e22f-0\",\n","            \"tool_calls\": [],\n","            \"invalid_tool_calls\": []\n","          }\n","        }\n","      }\n","    ]\n","  ],\n","  \"llm_output\": {\n","    \"token_usage\": {\n","      \"completion_tokens\": 104,\n","      \"prompt_tokens\": 322,\n","      \"total_tokens\": 426\n","    },\n","    \"model_name\": \"gpt-3.5-turbo\",\n","    \"system_fingerprint\": null\n","  },\n","  \"run\": null\n","}\n","\u001b[36;1m\u001b[1;3m[chain/end]\u001b[0m \u001b[1m[chain:AgentExecutor > chain:LLMChain] [2.75s] Exiting Chain run with output:\n","\u001b[0m{\n","  \"text\": \"我们可以使用Python的拼音库来将中文名字转换为拼音。\\nAction: Python_REPL\\nAction Input: \\n```python\\nfrom xpinyin import Pinyin\\np = Pinyin()\\nnames = ['小明', '小黄', '小红', '小蓝', '小橘', '小绿']\\npinyins = [p.get_pinyin(name, '') for name in names]\\nprint(pinyins)\\n```\"\n","}\n","\u001b[32;1m\u001b[1;3m[tool/start]\u001b[0m \u001b[1m[chain:AgentExecutor > tool:Python_REPL] Entering Tool run with input:\n","\u001b[0m\"```python\n","from xpinyin import Pinyin\n","p = Pinyin()\n","names = ['小明', '小黄', '小红', '小蓝', '小橘', '小绿']\n","pinyins = [p.get_pinyin(name, '') for name in names]\n","print(pinyins)\n","```\"\n","\u001b[36;1m\u001b[1;3m[tool/end]\u001b[0m \u001b[1m[chain:AgentExecutor > tool:Python_REPL] [16ms] Exiting Tool run with output:\n","\u001b[0m\"['xiaoming', 'xiaohuang', 'xiaohong', 'xiaolan', 'xiaoju', 'xiaolv']\"\n","\u001b[32;1m\u001b[1;3m[chain/start]\u001b[0m \u001b[1m[chain:AgentExecutor > chain:LLMChain] Entering Chain run with input:\n","\u001b[0m{\n","  \"input\": \"在这些客户名字转换为拼音并打印输出列表： ['小明', '小黄', '小红', '小蓝', '小橘', '小绿']思考过程请使用中文。\",\n","  \"agent_scratchpad\": \"我们可以使用Python的拼音库来将中文名字转换为拼音。\\nAction: Python_REPL\\nAction Input: \\n```python\\nfrom xpinyin import Pinyin\\np = Pinyin()\\nnames = ['小明', '小黄', '小红', '小蓝', '小橘', '小绿']\\npinyins = [p.get_pinyin(name, '') for name in names]\\nprint(pinyins)\\n```\\nObservation: ['xiaoming', 'xiaohuang', 'xiaohong', 'xiaolan', 'xiaoju', 'xiaolv']\\n\\nThought:\",\n","  \"stop\": [\n","    \"\\nObservation:\",\n","    \"\\n\\tObservation:\"\n","  ]\n","}\n","\u001b[32;1m\u001b[1;3m[llm/start]\u001b[0m \u001b[1m[chain:AgentExecutor > chain:LLMChain > llm:ChatOpenAI] Entering LLM run with input:\n","\u001b[0m{\n","  \"prompts\": [\n","    \"Human: You are an agent designed to write and execute python code to answer questions.\\nYou have access to a python REPL, which you can use to execute python code.\\nIf you get an error, debug your code and try again.\\nOnly use the output of your code to answer the question. \\nYou might know the answer without running any code, but you should still run the code to get the answer.\\nIf it does not seem like you can write code to answer the question, just return \\\"I don't know\\\" as the answer.\\n\\n\\nPython_REPL - A Python shell. Use this to execute python commands. Input should be a valid python command. If you want to see the output of a value, you should print it out with `print(...)`.\\n\\nUse the following format:\\n\\nQuestion: the input question you must answer\\nThought: you should always think about what to do\\nAction: the action to take, should be one of [Python_REPL]\\nAction Input: the input to the action\\nObservation: the result of the action\\n... (this Thought/Action/Action Input/Observation can repeat N times)\\nThought: I now know the final answer\\nFinal Answer: the final answer to the original input question\\n\\nBegin!\\n\\nQuestion: 在这些客户名字转换为拼音并打印输出列表： ['小明', '小黄', '小红', '小蓝', '小橘', '小绿']思考过程请使用中文。\\nThought:我们可以使用Python的拼音库来将中文名字转换为拼音。\\nAction: Python_REPL\\nAction Input: \\n```python\\nfrom xpinyin import Pinyin\\np = Pinyin()\\nnames = ['小明', '小黄', '小红', '小蓝', '小橘', '小绿']\\npinyins = [p.get_pinyin(name, '') for name in names]\\nprint(pinyins)\\n```\\nObservation: ['xiaoming', 'xiaohuang', 'xiaohong', 'xiaolan', 'xiaoju', 'xiaolv']\\n\\nThought:\"\n","  ]\n","}\n","\u001b[36;1m\u001b[1;3m[llm/end]\u001b[0m \u001b[1m[chain:AgentExecutor > chain:LLMChain > llm:ChatOpenAI] [1.26s] Exiting LLM run with output:\n","\u001b[0m{\n","  \"generations\": [\n","    [\n","      {\n","        \"text\": \"我们成功地将中文名字转换为拼音。\\nFinal Answer: ['xiaoming', 'xiaohuang', 'xiaohong', 'xiaolan', 'xiaoju', 'xiaolv']\",\n","        \"generation_info\": {\n","          \"finish_reason\": \"stop\",\n","          \"logprobs\": null\n","        },\n","        \"type\": \"ChatGeneration\",\n","        \"message\": {\n","          \"lc\": 1,\n","          \"type\": \"constructor\",\n","          \"id\": [\n","            \"langchain\",\n","            \"schema\",\n","            \"messages\",\n","            \"AIMessage\"\n","          ],\n","          \"kwargs\": {\n","            \"content\": \"我们成功地将中文名字转换为拼音。\\nFinal Answer: ['xiaoming', 'xiaohuang', 'xiaohong', 'xiaolan', 'xiaoju', 'xiaolv']\",\n","            \"response_metadata\": {\n","              \"token_usage\": {\n","                \"completion_tokens\": 45,\n","                \"prompt_tokens\": 458,\n","                \"total_tokens\": 503\n","              },\n","              \"model_name\": \"gpt-3.5-turbo\",\n","              \"system_fingerprint\": null,\n","              \"finish_reason\": \"stop\",\n","              \"logprobs\": null\n","            },\n","            \"type\": \"ai\",\n","            \"id\": \"run-90afa3d5-a827-4279-bee2-4447fd057653-0\",\n","            \"tool_calls\": [],\n","            \"invalid_tool_calls\": []\n","          }\n","        }\n","      }\n","    ]\n","  ],\n","  \"llm_output\": {\n","    \"token_usage\": {\n","      \"completion_tokens\": 45,\n","      \"prompt_tokens\": 458,\n","      \"total_tokens\": 503\n","    },\n","    \"model_name\": \"gpt-3.5-turbo\",\n","    \"system_fingerprint\": null\n","  },\n","  \"run\": null\n","}\n","\u001b[36;1m\u001b[1;3m[chain/end]\u001b[0m \u001b[1m[chain:AgentExecutor > chain:LLMChain] [1.26s] Exiting Chain run with output:\n","\u001b[0m{\n","  \"text\": \"我们成功地将中文名字转换为拼音。\\nFinal Answer: ['xiaoming', 'xiaohuang', 'xiaohong', 'xiaolan', 'xiaoju', 'xiaolv']\"\n","}\n","\u001b[36;1m\u001b[1;3m[chain/end]\u001b[0m \u001b[1m[chain:AgentExecutor] [4.03s] Exiting Chain run with output:\n","\u001b[0m{\n","  \"output\": \"['xiaoming', 'xiaohuang', 'xiaohong', 'xiaolan', 'xiaoju', 'xiaolv']\"\n","}\n"]}],"source":["import langchain\n","langchain.debug=True\n","agent.run(f\"\"\"在这些客户名字转换为拼音\\\n","并打印输出列表： {customer_list}\\\n","思考过程请使用中文。\"\"\") \n","langchain.debug=False"]},{"cell_type":"markdown","id":"6b2ba50d-53c4-4eab-9467-98f562a072cc","metadata":{"tags":[]},"source":["## 三、 定义自己的工具并在代理中使用"]},{"cell_type":"markdown","id":"fb92f6e4-21ab-494d-9c22-d0678050fd37","metadata":{},"source":["### 3.1 创建和使用自定义时间工具"]},{"cell_type":"code","execution_count":12,"id":"4b7e80e4-48d5-48f0-abeb-3dc33678ed9e","metadata":{},"outputs":[],"source":["# 导入tool函数装饰器\n","from langchain.agents import tool\n","from datetime import date"]},{"cell_type":"markdown","id":"8990b3c6-fe05-45b6-9567-06baec267a99","metadata":{},"source":["#### 1️⃣ 使用tool函数装饰器构建自定义工具\n","tool函数装饰器可以应用用于任何函数，将函数转化为LongChain工具，使其成为代理可调用的工具。\n","\n","我们需要给函数加上非常详细的文档字符串, 使得代理知道在什么情况下、如何使用该函数/工具。\n","\n","比如下面的函数`time`,我们加上了详细的文档字符串\n","\n","```python\n","\"\"\"\n","返回今天的日期，用于任何与获取今天日期相关的问题。\n","输入应该始终是一个空字符串，该函数将始终返回今天的日期。\n","任何日期的计算应该在此函数之外进行。\n","\"\"\"\n","\n","```"]},{"cell_type":"code","execution_count":13,"id":"e22a823f-3749-4bda-bac3-1b892da77929","metadata":{},"outputs":[],"source":["@tool\n","def time(text: str) -> str:\n","    \"\"\"\n","    返回今天的日期，用于任何需要知道今天日期的问题。\\\n","    输入应该总是一个空字符串，\\\n","    这个函数将总是返回今天的日期，任何日期计算应该在这个函数之外进行。\n","    \"\"\"\n","    return str(date.today())"]},{"cell_type":"markdown","id":"440cb348-0ec6-4999-a6cd-81cb48b8c546","metadata":{},"source":["#### 2️⃣ 初始化代理"]},{"cell_type":"code","execution_count":14,"id":"09c9f59e-c14c-41b9-b6bd-0e97e8be72ab","metadata":{},"outputs":[],"source":["agent= initialize_agent(\n","    tools=[time], #将刚刚创建的时间工具加入代理\n","    llm=llm, #初始化的模型\n","    agent=AgentType.CHAT_ZERO_SHOT_REACT_DESCRIPTION,  #代理类型\n","    handle_parsing_errors=True, #处理解析错误\n","    verbose = True #输出中间步骤\n",")"]},{"cell_type":"markdown","id":"f1a10657-23f2-4f78-a247-73f272119eb4","metadata":{},"source":["#### 3️⃣ 使用代理询问今天的日期\n","**注**: 代理有时候可能会出错（该功能正在开发中）。如果出现错误，请尝试再次运行它。"]},{"cell_type":"code","execution_count":15,"id":"f868e30b-ec67-4d76-9dc9-81ecd3332115","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["\n","\n","\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n","\u001b[32;1m\u001b[1;3mQuestion: What is today's date?\n","\n","Thought: I can use the time tool to get today's date.\n","\n","Action:\n","```\n","{\n","  \"action\": \"time\",\n","  \"action_input\": \"\"\n","}\n","```\n","\n","\u001b[0m\n","Observation: \u001b[36;1m\u001b[1;3m2024-06-11\u001b[0m\n","Thought:\u001b[32;1m\u001b[1;3mFinal Answer: 2024-06-11\u001b[0m\n","\n","\u001b[1m> Finished chain.\u001b[0m\n"]},{"data":{"text/plain":["{'input': '今天的日期是？', 'output': '2024-06-11'}"]},"execution_count":15,"metadata":{},"output_type":"execute_result"}],"source":["agent(\"今天的日期是？\") "]},{"cell_type":"markdown","id":"923a199f-08e8-4e70-afb5-70cd3e123acf","metadata":{},"source":["✅ **总结**\n","\n","1. 模型对于接下来需要做什么，给出思考（Thought） \n","   <p style=\"font-family:verdana; font-size:12px;color:green\"> <strong>思考</strong>：我需要使用 time 工具来获取今天的日期</p>\n","\n","2. 模型基于思考采取行动（Action), 因为使用的工具不同，Action的输出也和之前有所不同，这里输出的为python代码\n","    <p style=\"font-family:verdana; font-size:12px;color:green\"> <strong>行动</strong>: 使用time工具，输入为空字符串</p>\n","    \n","   \n","3. 模型得到观察（Observation）\n","    <p style=\"font-family:verdana; font-size:12px;color:green\"><strong>观测</strong>: 2023-07-04</p>\n","    \n","   \n","    \n","4. 基于观察，模型对于接下来需要做什么，给出思考（Thought）\n","    <p style=\"font-family:verdana; font-size:12px;color:green\"> <strong>思考</strong>: 我已成功使用 time 工具检索到了今天的日期</p>\n","\n","5. 给出最终答案（Final Answer）\n","     <p style=\"font-family:verdana; font-size:12px;color:green\"> <strong>最终答案</strong>: 今天的日期是2023-07-04.</p>\n","6. 返回最终答案。"]}],"metadata":{"kernelspec":{"display_name":"Python 3 (ipykernel)","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.10.14"},"toc":{"base_numbering":1,"nav_menu":{},"number_sections":false,"sideBar":true,"skip_h1_title":false,"title_cell":"Table of Contents","title_sidebar":"Contents","toc_cell":false,"toc_position":{},"toc_section_display":true,"toc_window_display":true}},"nbformat":4,"nbformat_minor":5}
+{"cells": [{"cell_type": "markdown", "id": "2caa79ba-45e3-437c-9cb6-e433f443f0bf", "metadata": {}, "source": ["# \u7b2c\u4e03\u7ae0 \u4ee3\u7406\n", "\n", " - [\u4e00\u3001\u8bbe\u7f6eOpenAI API Key](#\u4e00\u3001\u8bbe\u7f6eOpenAI-API-Key)\n", " - [\u4e8c\u3001LangChain\u5185\u7f6e\u5de5\u5177](#\u4e8c\u3001LangChain\u5185\u7f6e\u5de5\u5177)\n", "     - [2.1 \u4f7f\u7528llm-math\u548cwikipedia\u5de5\u5177](#2.1-\u4f7f\u7528llm-math\u548cwikipedia\u5de5\u5177)\n", "     - [2.2 \u4f7f\u7528PythonREPLTool\u5de5\u5177](#2.2-\u4f7f\u7528PythonREPLTool\u5de5\u5177)\n", " - [\u4e09\u3001 \u5b9a\u4e49\u81ea\u5df1\u7684\u5de5\u5177\u5e76\u5728\u4ee3\u7406\u4e2d\u4f7f\u7528](#\u4e09\u3001-\u5b9a\u4e49\u81ea\u5df1\u7684\u5de5\u5177\u5e76\u5728\u4ee3\u7406\u4e2d\u4f7f\u7528)\n", "     - [3.1 \u521b\u5efa\u548c\u4f7f\u7528\u81ea\u5b9a\u4e49\u65f6\u95f4\u5de5\u5177](#3.1-\u521b\u5efa\u548c\u4f7f\u7528\u81ea\u5b9a\u4e49\u65f6\u95f4\u5de5\u5177)\n"]}, {"cell_type": "markdown", "id": "8a31726a-82ac-46e4-a51e-7747fc4c6aed", "metadata": {"tags": []}, "source": ["## \u4e00\u3001\u8bbe\u7f6eOpenAI API Key\n", "\n", "\u767b\u9646 [OpenAI \u8d26\u6237](https://platform.openai.com/account/api-keys) \u83b7\u53d6API Key\uff0c\u7136\u540e\u5c06\u5176\u8bbe\u7f6e\u4e3a\u73af\u5883\u53d8\u91cf\u3002\n", "\n", "- \u5982\u679c\u4f60\u60f3\u8981\u8bbe\u7f6e\u4e3a\u5168\u5c40\u73af\u5883\u53d8\u91cf\uff0c\u53ef\u4ee5\u53c2\u8003[\u77e5\u4e4e\u6587\u7ae0](https://zhuanlan.zhihu.com/p/627665725)\u3002\n", "- \u5982\u679c\u4f60\u60f3\u8981\u8bbe\u7f6e\u4e3a\u672c\u5730/\u9879\u76ee\u73af\u5883\u53d8\u91cf\uff0c\u5728\u672c\u6587\u4ef6\u76ee\u5f55\u4e0b\u521b\u5efa`.env`\u6587\u4ef6, \u6253\u5f00\u6587\u4ef6\u8f93\u5165\u4ee5\u4e0b\u5185\u5bb9\u3002\n", "\n", "    <p style=\"font-family:verdana; font-size:12px;color:green\">\n", "    OPENAI_API_KEY=\"your_api_key\" \n", "    </p>\n", "  \n", "  \u66ff\u6362\"your_api_key\"\u4e3a\u4f60\u81ea\u5df1\u7684 API Key"]}, {"cell_type": "code", "execution_count": 1, "id": "beebf047-9117-43e3-b7b2-1f06cd3d4275", "metadata": {}, "outputs": [], "source": ["# \u4e0b\u8f7d\u9700\u8981\u7684\u5305python-dotenv\u548copenai\n", "# \u5982\u679c\u4f60\u9700\u8981\u67e5\u770b\u5b89\u88c5\u8fc7\u7a0b\u65e5\u5fd7\uff0c\u53ef\u5220\u9664 -q \n", "!pip install -q python-dotenv\n", "!pip install -q openai"]}, {"cell_type": "code", "execution_count": 2, "id": "312f4c23-fe27-4cda-a645-8e1519c2febf", "metadata": {"tags": []}, "outputs": [], "source": ["import os\n", "import openai\n", "from dotenv import load_dotenv, find_dotenv\n", "\n", "# \u8bfb\u53d6\u672c\u5730/\u9879\u76ee\u7684\u73af\u5883\u53d8\u91cf\u3002\n", "\n", "# find_dotenv()\u5bfb\u627e\u5e76\u5b9a\u4f4d.env\u6587\u4ef6\u7684\u8def\u5f84\n", "# load_dotenv()\u8bfb\u53d6\u8be5.env\u6587\u4ef6\uff0c\u5e76\u5c06\u5176\u4e2d\u7684\u73af\u5883\u53d8\u91cf\u52a0\u8f7d\u5230\u5f53\u524d\u7684\u8fd0\u884c\u73af\u5883\u4e2d  \n", "# \u5982\u679c\u4f60\u8bbe\u7f6e\u7684\u662f\u5168\u5c40\u7684\u73af\u5883\u53d8\u91cf\uff0c\u8fd9\u884c\u4ee3\u7801\u5219\u6ca1\u6709\u4efb\u4f55\u4f5c\u7528\u3002\n", "_ = load_dotenv(find_dotenv())\n", "\n", "# \u83b7\u53d6\u73af\u5883\u53d8\u91cf OPENAI_API_KEY\n", "openai.api_key = os.environ['OPENAI_API_KEY']  "]}, {"cell_type": "markdown", "id": "631c764b-68fa-483a-80a5-9a322cd1117c", "metadata": {}, "source": ["## \u4e8c\u3001LangChain\u5185\u7f6e\u5de5\u5177"]}, {"cell_type": "code", "execution_count": 2, "id": "8ab03352-1554-474c-afda-ec8974250e31", "metadata": {}, "outputs": [], "source": ["# \u5982\u679c\u9700\u8981\u67e5\u770b\u5b89\u88c5\u8fc7\u7a0b\u65e5\u5fd7\uff0c\u53ef\u5220\u9664 -q \n", "# -U \u5b89\u88c5\u5230\u6700\u65b0\u7248\u672c\u7684 wikipedia. \u5176\u529f\u80fd\u540c --upgrade \n", "!pip install -U -q wikipedia\n", "!pip install -q openai"]}, {"cell_type": "code", "execution_count": 3, "id": "bc80a8a7-a66e-4fbb-8d57-05004a3e77c7", "metadata": {}, "outputs": [], "source": ["from langchain.agents import load_tools, initialize_agent\n", "from langchain.agents import AgentType\n", "from langchain.python import PythonREPL\n", "from langchain.chat_models import ChatOpenAI"]}, {"cell_type": "markdown", "id": "d5a3655c-4d5e-4a86-8bf4-a11bd1525059", "metadata": {}, "source": ["### 2.1 \u4f7f\u7528llm-math\u548cwikipedia\u5de5\u5177"]}, {"cell_type": "markdown", "id": "e484d285-2110-4a06-a360-55313d6d9ffc", "metadata": {}, "source": ["#### 1\ufe0f\u20e3 \u521d\u59cb\u5316\u5927\u8bed\u8a00\u6a21\u578b\n", "\n", "- \u9ed8\u8ba4\u5bc6\u94a5`openai_api_key`\u4e3a\u73af\u5883\u53d8\u91cf`OPENAI_API_KEY`\u3002\u56e0\u6b64\u5728\u8fd0\u884c\u4ee5\u4e0b\u4ee3\u7801\u4e4b\u524d\uff0c\u786e\u4fdd\u4f60\u5df2\u7ecf\u8bbe\u7f6e\u73af\u5883\u53d8\u91cf`OPENAI_API_KEY`\u3002\u5982\u679c\u8fd8\u6ca1\u6709\u5bc6\u94a5\uff0c\u8bf7[\u83b7\u53d6\u4f60\u7684API Key](https://platform.openai.com/account/api-keys) \u3002\n", "- \u9ed8\u8ba4\u6a21\u578b`model_name`\u4e3a`gpt-3.5-turbo`\u3002\n", "- \u66f4\u591a\u5173\u4e8e\u6a21\u578b\u9ed8\u8ba4\u53c2\u6570\u8bf7\u67e5\u770b[\u8fd9\u91cc](https://github.com/hwchase17/langchain/blob/master/langchain/chat_models/openai.py)\u3002"]}, {"cell_type": "code", "execution_count": 4, "id": "71e5894f-fc50-478b-a3d3-58891cc46ffc", "metadata": {}, "outputs": [], "source": ["# \u53c2\u6570temperature\u8bbe\u7f6e\u4e3a0.0\uff0c\u4ece\u800c\u51cf\u5c11\u751f\u6210\u7b54\u6848\u7684\u968f\u673a\u6027\u3002\n", "llm = ChatOpenAI(temperature=0)"]}, {"cell_type": "markdown", "id": "d7f75023-1825-4d74-bc8e-2c362f551fd1", "metadata": {"tags": []}, "source": ["#### 2\ufe0f\u20e3 \u52a0\u8f7d\u5de5\u5177\u5305\n", "- `llm-math` \u5de5\u5177\u7ed3\u5408\u8bed\u8a00\u6a21\u578b\u548c\u8ba1\u7b97\u5668\u7528\u4ee5\u8fdb\u884c\u6570\u5b66\u8ba1\u7b97\n", "- `wikipedia`\u5de5\u5177\u901a\u8fc7API\u8fde\u63a5\u5230wikipedia\u8fdb\u884c\u641c\u7d22\u67e5\u8be2\u3002"]}, {"cell_type": "code", "execution_count": 5, "id": "3541b866-8a35-4b6f-bfe6-66edb1d666cd", "metadata": {}, "outputs": [], "source": ["tools = load_tools(\n", "    [\"llm-math\",\"wikipedia\"], \n", "    llm=llm #\u7b2c\u4e00\u6b65\u521d\u59cb\u5316\u7684\u6a21\u578b\n", ")"]}, {"cell_type": "markdown", "id": "e5b4fcc8-8817-4a94-b154-3f328480e441", "metadata": {}, "source": ["#### 3\ufe0f\u20e3 \u521d\u59cb\u5316\u4ee3\u7406\n", "\n", "- `agent`: \u4ee3\u7406\u7c7b\u578b\u3002\u8fd9\u91cc\u4f7f\u7528\u7684\u662f`AgentType.CHAT_ZERO_SHOT_REACT_DESCRIPTION`\u3002\u5176\u4e2d`CHAT`\u4ee3\u8868\u4ee3\u7406\u6a21\u578b\u4e3a\u9488\u5bf9\u5bf9\u8bdd\u4f18\u5316\u7684\u6a21\u578b\uff0c`REACT`\u4ee3\u8868\u9488\u5bf9REACT\u8bbe\u8ba1\u7684\u63d0\u793a\u6a21\u7248\u3002\n", "- `handle_parsing_errors`: \u662f\u5426\u5904\u7406\u89e3\u6790\u9519\u8bef\u3002\u5f53\u53d1\u751f\u89e3\u6790\u9519\u8bef\u65f6\uff0c\u5c06\u9519\u8bef\u4fe1\u606f\u8fd4\u56de\u7ed9\u5927\u6a21\u578b\uff0c\u8ba9\u5176\u8fdb\u884c\u7ea0\u6b63\u3002\n", "- `verbose`: \u662f\u5426\u8f93\u51fa\u4e2d\u95f4\u6b65\u9aa4\u7ed3\u679c\u3002"]}, {"cell_type": "code", "execution_count": 6, "id": "e7cdc782-2b8c-4649-ae1e-cabacee1a757", "metadata": {}, "outputs": [], "source": ["agent= initialize_agent(\n", "    tools, #\u7b2c\u4e8c\u6b65\u52a0\u8f7d\u7684\u5de5\u5177\n", "    llm, #\u7b2c\u4e00\u6b65\u521d\u59cb\u5316\u7684\u6a21\u578b\n", "    agent=AgentType.CHAT_ZERO_SHOT_REACT_DESCRIPTION,  #\u4ee3\u7406\u7c7b\u578b\n", "    handle_parsing_errors=True, #\u5904\u7406\u89e3\u6790\u9519\u8bef\n", "    verbose = True #\u8f93\u51fa\u4e2d\u95f4\u6b65\u9aa4\n", ")"]}, {"cell_type": "markdown", "id": "b980137a-a1d2-4c19-80c8-ec380f9c1efe", "metadata": {"tags": []}, "source": ["#### 4\ufe0f\u20e3.1\ufe0f\u20e3 \u4f7f\u7528\u4ee3\u7406\u56de\u7b54\u6570\u5b66\u95ee\u9898"]}, {"cell_type": "code", "execution_count": 7, "id": "1e2bcd3b-ae72-4fa1-b38e-d0ce650e1f31", "metadata": {}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["\n", "\n", "\u001b[1m> Entering new  chain...\u001b[0m\n", "\u001b[32;1m\u001b[1;3mQuestion: \u8ba1\u7b97300\u768425%\n", "Thought: \u6211\u53ef\u4ee5\u4f7f\u7528\u8ba1\u7b97\u5668\u6765\u8ba1\u7b97\u8fd9\u4e2a\u767e\u5206\u6bd4\n", "Action:\n", "```\n", "{\n", "  \"action\": \"Calculator\",\n", "  \"action_input\": \"300 * 25 / 100\"\n", "}\n", "```\n", "\u001b[0m\n", "Observation: \u001b[36;1m\u001b[1;3mAnswer: 75.0\u001b[0m\n", "Thought:\u001b[32;1m\u001b[1;3m\u6211\u73b0\u5728\u77e5\u9053\u6700\u7ec8\u7b54\u6848\u4e86\n", "Final Answer: 300\u768425%\u662f75.0\u001b[0m\n", "\n", "\u001b[1m> Finished chain.\u001b[0m\n"]}, {"data": {"text/plain": ["{'input': '\u8ba1\u7b97300\u768425%\uff0c\u8bf7\u7528\u4e2d\u6587', 'output': '300\u768425%\u662f75.0'}"]}, "execution_count": 7, "metadata": {}, "output_type": "execute_result"}], "source": ["agent(\"\u8ba1\u7b97300\u768425%\uff0c\u601d\u8003\u8fc7\u7a0b\u8bf7\u4f7f\u7528\u4e2d\u6587\u3002\") "]}, {"cell_type": "markdown", "id": "05bb0811-d71e-4016-868b-efbb651d8e59", "metadata": {}, "source": ["\u2705 **\u603b\u7ed3**\n", "\n", "1. \u6a21\u578b\u5bf9\u4e8e\u63a5\u4e0b\u6765\u9700\u8981\u505a\u4ec0\u4e48\uff0c\u7ed9\u51fa\u601d\u8003\uff08Thought\uff09 \n", "    \n", "   <p style=\"font-family:verdana; font-size:12px;color:green\"> <strong>\u601d\u8003</strong>\uff1a\u6211\u4eec\u9700\u8981\u8ba1\u7b97300\u768425%\uff0c\u8fd9\u4e2a\u8fc7\u7a0b\u4e2d\u9700\u8981\u7528\u5230\u4e58\u6cd5\u548c\u9664\u6cd5\u3002</p>\n", "\n", "2. \u6a21\u578b\u57fa\u4e8e\u601d\u8003\u91c7\u53d6\u884c\u52a8\uff08Action\uff09\n", "    <p style=\"font-family:verdana; font-size:12px;color:green\"> <strong>\u884c\u52a8</strong>: \u4f7f\u7528\u8ba1\u7b97\u5668\uff08calculator\uff09\uff0c\u8f93\u5165300*0.25</p>\n", "3. \u6a21\u578b\u5f97\u5230\u89c2\u5bdf\uff08Observation\uff09\n", "    <p style=\"font-family:verdana; font-size:12px;color:green\"><strong>\u89c2\u5bdf</strong>\uff1a\u7b54\u6848: 75.0</p>\n", "\n", "4. \u57fa\u4e8e\u89c2\u5bdf\uff0c\u6a21\u578b\u5bf9\u4e8e\u63a5\u4e0b\u6765\u9700\u8981\u505a\u4ec0\u4e48\uff0c\u7ed9\u51fa\u601d\u8003\uff08Thought\uff09\n", "    <p style=\"font-family:verdana; font-size:12px;color:green\"> <strong>\u601d\u8003</strong>: \u6211\u4eec\u7684\u95ee\u9898\u6709\u4e86\u7b54\u6848 </p>\n", "\n", "5. \u7ed9\u51fa\u6700\u7ec8\u7b54\u6848\uff08Final Answer\uff09\n", "     <p style=\"font-family:verdana; font-size:12px;color:green\"> <strong>\u6700\u7ec8\u7b54\u6848</strong>: 75.0 </p>\n", "5. \u4ee5\u5b57\u5178\u7684\u5f62\u5f0f\u7ed9\u51fa\u6700\u7ec8\u7b54\u6848\u3002"]}, {"cell_type": "markdown", "id": "bdd13d06-0f0e-4918-ac28-339f524f8c76", "metadata": {}, "source": ["#### 4\ufe0f\u20e3.2\ufe0f\u20e3 Tom M. Mitchell\u7684\u4e66"]}, {"cell_type": "code", "execution_count": 18, "id": "f43b5cbf-1011-491b-90e8-09cf903fb866", "metadata": {}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["\n", "\n", "\u001b[1m> Entering new  chain...\u001b[0m\n", "\u001b[32;1m\u001b[1;3mI need to find out what book Tom M. Mitchell wrote.\n", "Action: Search for Tom M. Mitchell's books.\n", "Action Input: \"Tom M. Mitchell books\"\u001b[0m\n", "Observation: Search for Tom M. Mitchell's books. is not a valid tool, try another one.\n", "Thought:\u001b[32;1m\u001b[1;3mI can try searching for Tom M. Mitchell's books using a search engine.\n", "Action: Search for \"Tom M. Mitchell books\"\n", "Action Input: \"Tom M. Mitchell books\"\u001b[0m\n", "Observation: Search for \"Tom M. Mitchell books\" is not a valid tool, try another one.\n", "Thought:\u001b[32;1m\u001b[1;3mI can try searching for Tom M. Mitchell's books using a search engine.\n", "Action: Search for \"Tom M. Mitchell books\"\n", "Action Input: \"Tom M. Mitchell books\"\u001b[0m\n", "Observation: Search for \"Tom M. Mitchell books\" is not a valid tool, try another one.\n", "Thought:"]}, {"name": "stderr", "output_type": "stream", "text": ["Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 1.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 2.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 4.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 8.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n"]}, {"name": "stdout", "output_type": "stream", "text": ["\u001b[32;1m\u001b[1;3mI can try searching for Tom M. Mitchell's books using a search engine.\n", "Action: Search for \"Tom M. Mitchell books\"\n", "Action Input: \"Tom M. Mitchell books\"\u001b[0m\n", "Observation: Search for \"Tom M. Mitchell books\" is not a valid tool, try another one.\n", "Thought:"]}, {"name": "stderr", "output_type": "stream", "text": ["Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 1.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 2.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 4.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 8.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n"]}, {"name": "stdout", "output_type": "stream", "text": ["\u001b[32;1m\u001b[1;3mI can try searching for Tom M. Mitchell's books using a search engine.\n", "Action: Search for \"Tom M. Mitchell books\"\n", "Action Input: \"Tom M. Mitchell books\"\u001b[0m\n", "Observation: Search for \"Tom M. Mitchell books\" is not a valid tool, try another one.\n", "Thought:"]}, {"name": "stderr", "output_type": "stream", "text": ["Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 1.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 2.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 4.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 8.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n"]}, {"name": "stdout", "output_type": "stream", "text": ["\u001b[32;1m\u001b[1;3mI can try searching for Tom M. Mitchell's books using a search engine.\n", "Action: Search for \"Tom M. Mitchell books\"\n", "Action Input: \"Tom M. Mitchell books\"\u001b[0m\n", "Observation: Search for \"Tom M. Mitchell books\" is not a valid tool, try another one.\n", "Thought:"]}, {"name": "stderr", "output_type": "stream", "text": ["Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 1.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 2.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 4.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 8.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n"]}, {"name": "stdout", "output_type": "stream", "text": ["\u001b[32;1m\u001b[1;3mI can try searching for Tom M. Mitchell's books using a search engine.\n", "Action: Search for \"Tom M. Mitchell books\"\n", "Action Input: \"Tom M. Mitchell books\"\u001b[0m\n", "Observation: Search for \"Tom M. Mitchell books\" is not a valid tool, try another one.\n", "Thought:"]}, {"name": "stderr", "output_type": "stream", "text": ["Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 1.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 2.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 4.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 8.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n"]}, {"name": "stdout", "output_type": "stream", "text": ["\u001b[32;1m\u001b[1;3mI can try searching for Tom M. Mitchell's books using a search engine.\n", "Action: Search for \"Tom M. Mitchell books\"\n", "Action Input: \"Tom M. Mitchell books\"\u001b[0m\n", "Observation: Search for \"Tom M. Mitchell books\" is not a valid tool, try another one.\n", "Thought:"]}, {"name": "stderr", "output_type": "stream", "text": ["Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 1.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 2.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 4.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 8.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n"]}, {"name": "stdout", "output_type": "stream", "text": ["\u001b[32;1m\u001b[1;3mI can try searching for Tom M. Mitchell's books using a search engine.\n", "Action: Search for \"Tom M. Mitchell books\"\n", "Action Input: \"Tom M. Mitchell books\"\u001b[0m\n", "Observation: Search for \"Tom M. Mitchell books\" is not a valid tool, try another one.\n", "Thought:"]}, {"name": "stderr", "output_type": "stream", "text": ["Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 1.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 2.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 4.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 8.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n"]}, {"name": "stdout", "output_type": "stream", "text": ["\u001b[32;1m\u001b[1;3mI can try searching for Tom M. Mitchell's books using a search engine.\n", "Action: Search for \"Tom M. Mitchell books\"\n", "Action Input: \"Tom M. Mitchell books\"\u001b[0m\n", "Observation: Search for \"Tom M. Mitchell books\" is not a valid tool, try another one.\n", "Thought:"]}, {"name": "stderr", "output_type": "stream", "text": ["Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 1.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 2.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 4.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 8.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n"]}, {"name": "stdout", "output_type": "stream", "text": ["\u001b[32;1m\u001b[1;3mI can try searching for Tom M. Mitchell's books using a search engine.\n", "Action: Search for \"Tom M. Mitchell books\"\n", "Action Input: \"Tom M. Mitchell books\"\u001b[0m\n", "Observation: Search for \"Tom M. Mitchell books\" is not a valid tool, try another one.\n", "Thought:"]}, {"name": "stderr", "output_type": "stream", "text": ["Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 1.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 2.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 4.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 8.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n"]}, {"name": "stdout", "output_type": "stream", "text": ["\u001b[32;1m\u001b[1;3mI can try searching for Tom M. Mitchell's books using a search engine.\n", "Action: Search for \"Tom M. Mitchell books\"\n", "Action Input: \"Tom M. Mitchell books\"\u001b[0m\n", "Observation: Search for \"Tom M. Mitchell books\" is not a valid tool, try another one.\n", "Thought:"]}, {"name": "stderr", "output_type": "stream", "text": ["Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 1.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 2.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 4.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 8.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n"]}, {"name": "stdout", "output_type": "stream", "text": ["\u001b[32;1m\u001b[1;3mI can try searching for Tom M. Mitchell's books using a search engine.\n", "Action: Search for \"Tom M. Mitchell books\"\n", "Action Input: \"Tom M. Mitchell books\"\u001b[0m\n", "Observation: Search for \"Tom M. Mitchell books\" is not a valid tool, try another one.\n", "Thought:"]}, {"name": "stderr", "output_type": "stream", "text": ["Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 1.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 2.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 4.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 8.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n"]}, {"name": "stdout", "output_type": "stream", "text": ["\u001b[32;1m\u001b[1;3mI can try searching for Tom M. Mitchell's books using a search engine.\n", "Action: Search for \"Tom M. Mitchell books\"\n", "Action Input: \"Tom M. Mitchell books\"\u001b[0m\n", "Observation: Search for \"Tom M. Mitchell books\" is not a valid tool, try another one.\n", "Thought:"]}, {"name": "stderr", "output_type": "stream", "text": ["Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 1.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 2.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 4.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 8.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n"]}, {"name": "stdout", "output_type": "stream", "text": ["\u001b[32;1m\u001b[1;3mI can try searching for Tom M. Mitchell's books using a search engine.\n", "Action: Search for \"Tom M. Mitchell books\"\n", "Action Input: \"Tom M. Mitchell books\"\u001b[0m\n", "Observation: Search for \"Tom M. Mitchell books\" is not a valid tool, try another one.\n", "Thought:\u001b[32;1m\u001b[1;3m\u001b[0m\n", "\n", "\u001b[1m> Finished chain.\u001b[0m\n"]}, {"data": {"text/plain": ["{'input': 'Tom M. Mitchell is an American computer scientist and the Founders University Professor at Carnegie Mellon University (CMU)what book did he write?',\n", " 'output': 'Agent stopped due to iteration limit or time limit.'}"]}, "execution_count": 18, "metadata": {}, "output_type": "execute_result"}], "source": ["question = \"Tom M. Mitchell is an American computer scientist \\\n", "and the Founders University Professor at Carnegie Mellon University (CMU)\\\n", "what book did he write?\"\n", "agent(question) "]}, {"cell_type": "markdown", "id": "39e2f6fb-f229-4235-ad58-98a5f505800c", "metadata": {}, "source": ["\u2705 **\u603b\u7ed3**\n", "\n", "1. \u6a21\u578b\u5bf9\u4e8e\u63a5\u4e0b\u6765\u9700\u8981\u505a\u4ec0\u4e48\uff0c\u7ed9\u51fa\u601d\u8003\uff08Thought\uff09 \n", "   <p style=\"font-family:verdana; font-size:12px;color:green\"> <strong>\u601d\u8003</strong>\uff1a\u6211\u5e94\u8be5\u4f7f\u7528\u7ef4\u57fa\u767e\u79d1\u53bb\u641c\u7d22\u3002</p>\n", "\n", "2. \u6a21\u578b\u57fa\u4e8e\u601d\u8003\u91c7\u53d6\u884c\u52a8\uff08Action\uff09\n", "    <p style=\"font-family:verdana; font-size:12px;color:green\"> <strong>\u884c\u52a8</strong>: \u4f7f\u7528\u7ef4\u57fa\u767e\u79d1\uff0c\u8f93\u5165Tom M. Mitchell</p>\n", "3. \u6a21\u578b\u5f97\u5230\u89c2\u5bdf\uff08Observation\uff09\n", "    <p style=\"font-family:verdana; font-size:12px;color:green\"><strong>\u89c2\u6d4b</strong>: \u9875\u9762: Tom M. Mitchell\uff0c\u9875\u9762: Tom Mitchell (\u6fb3\u5927\u5229\u4e9a\u8db3\u7403\u8fd0\u52a8\u5458)</p>\n", "\n", "4. \u57fa\u4e8e\u89c2\u5bdf\uff0c\u6a21\u578b\u5bf9\u4e8e\u63a5\u4e0b\u6765\u9700\u8981\u505a\u4ec0\u4e48\uff0c\u7ed9\u51fa\u601d\u8003\uff08Thought\uff09\n", "    <p style=\"font-family:verdana; font-size:12px;color:green\"> <strong>\u601d\u8003</strong>: Tom M. Mitchell\u5199\u7684\u4e66\u662fMachine Learning </p>\n", "\n", "5. \u7ed9\u51fa\u6700\u7ec8\u7b54\u6848\uff08Final Answer\uff09\n", "     <p style=\"font-family:verdana; font-size:12px;color:green\"> <strong>\u6700\u7ec8\u7b54\u6848</strong>: Machine Learning </p>\n", "5. \u4ee5\u5b57\u5178\u7684\u5f62\u5f0f\u7ed9\u51fa\u6700\u7ec8\u7b54\u6848\u3002\n", "\n", "\n", "\u503c\u5f97\u6ce8\u610f\u7684\u662f\uff0c\u6a21\u578b\u6bcf\u6b21\u8fd0\u884c\u63a8\u7406\u7684\u8fc7\u7a0b\u53ef\u80fd\u5b58\u5728\u5dee\u5f02\uff0c\u4f46\u6700\u7ec8\u7684\u7ed3\u679c\u4e00\u81f4\u3002"]}, {"cell_type": "markdown", "id": "5901cab6-a7c9-4590-b35d-d41c29e39a39", "metadata": {}, "source": ["### 2.2 \u4f7f\u7528PythonREPLTool\u5de5\u5177"]}, {"cell_type": "markdown", "id": "12b8d837-524c-46b8-9189-504808cf1f93", "metadata": {}, "source": ["#### 1\ufe0f\u20e3 \u521b\u5efapyhon\u4ee3\u7406"]}, {"cell_type": "code", "execution_count": 8, "id": "6c60d933-168d-4834-b29c-b2b43ade80cc", "metadata": {}, "outputs": [], "source": ["from langchain.agents.agent_toolkits import create_python_agent\n", "from langchain.tools.python.tool import PythonREPLTool\n", "\n", "agent = create_python_agent(\n", "    llm,  #\u4f7f\u7528\u524d\u9762\u4e00\u8282\u5df2\u7ecf\u52a0\u8f7d\u7684\u5927\u8bed\u8a00\u6a21\u578b\n", "    tool=PythonREPLTool(), #\u4f7f\u7528Python\u4ea4\u4e92\u5f0f\u73af\u5883\u5de5\u5177\uff08REPLTool\uff09\n", "    verbose=True #\u8f93\u51fa\u4e2d\u95f4\u6b65\u9aa4\n", ")"]}, {"cell_type": "markdown", "id": "d32ed40c-cbcd-4efd-b044-57e611f5fab5", "metadata": {"tags": []}, "source": ["#### 2\ufe0f\u20e3 \u4f7f\u7528\u4ee3\u7406\u5bf9\u987e\u5ba2\u540d\u5b57\u8fdb\u884c\u6392\u5e8f"]}, {"cell_type": "code", "execution_count": 14, "id": "3d416f28-8fdb-4761-a4f9-d46c6d37fb3d", "metadata": {}, "outputs": [], "source": ["customer_list = [\"\u5c0f\u660e\",\"\u5c0f\u9ec4\",\"\u5c0f\u7ea2\",\"\u5c0f\u84dd\",\"\u5c0f\u6a58\",\"\u5c0f\u7eff\",]"]}, {"cell_type": "code", "execution_count": 22, "id": "d0fbfc4c", "metadata": {}, "outputs": [], "source": ["!pip install -q pinyin"]}, {"cell_type": "code", "execution_count": 23, "id": "ba7f9a50-acf6-4fba-a1b9-503baa80266b", "metadata": {}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["\n", "\n", "\u001b[1m> Entering new  chain...\u001b[0m\n", "\u001b[32;1m\u001b[1;3m\u6211\u9700\u8981\u4f7f\u7528\u62fc\u97f3\u5e93\u6765\u5c06\u5ba2\u6237\u540d\u5b57\u8f6c\u6362\u4e3a\u62fc\u97f3\u3002\u6211\u53ef\u4ee5\u4f7f\u7528Python\u7684pinyin\u5e93\u6765\u5b9e\u73b0\u8fd9\u4e2a\u529f\u80fd\u3002\n", "Action: Python_REPL\n", "Action Input: import pinyin\u001b[0m\n", "Observation: \u001b[36;1m\u001b[1;3m\u001b[0m\n", "Thought:\u001b[32;1m\u001b[1;3m\u6211\u73b0\u5728\u53ef\u4ee5\u4f7f\u7528pinyin\u5e93\u6765\u5c06\u5ba2\u6237\u540d\u5b57\u8f6c\u6362\u4e3a\u62fc\u97f3\u4e86\u3002\n", "Action: Python_REPL\n", "Action Input: names = ['\u5c0f\u660e', '\u5c0f\u9ec4', '\u5c0f\u7ea2', '\u5c0f\u84dd', '\u5c0f\u6a58', '\u5c0f\u7eff']\u001b[0m\n", "Observation: \u001b[36;1m\u001b[1;3m\u001b[0m\n", "Thought:\u001b[32;1m\u001b[1;3m\u6211\u73b0\u5728\u53ef\u4ee5\u4f7f\u7528pinyin\u5e93\u5c06names\u5217\u8868\u4e2d\u7684\u5ba2\u6237\u540d\u5b57\u8f6c\u6362\u4e3a\u62fc\u97f3\u4e86\u3002\n", "Action: Python_REPL\n", "Action Input: pinyin_names = [pinyin.get(i, format='strip', delimiter='') for i in names]\u001b[0m\n", "Observation: \u001b[36;1m\u001b[1;3m\u001b[0m\n", "Thought:"]}, {"name": "stderr", "output_type": "stream", "text": ["Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 1.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 2.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 4.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 8.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n"]}, {"name": "stdout", "output_type": "stream", "text": ["\u001b[32;1m\u001b[1;3m\u6211\u5df2\u7ecf\u6210\u529f\u5c06\u5ba2\u6237\u540d\u5b57\u8f6c\u6362\u4e3a\u62fc\u97f3\u5e76\u5b58\u50a8\u5728pinyin_names\u5217\u8868\u4e2d\u4e86\u3002\n", "Final Answer: pinyin_names = ['xiaoming', 'xiaohuang', 'xiaohong', 'xiaolan', 'xiaojv', 'xiaolv']\u001b[0m\n", "\n", "\u001b[1m> Finished chain.\u001b[0m\n"]}, {"data": {"text/plain": ["\"pinyin_names = ['xiaoming', 'xiaohuang', 'xiaohong', 'xiaolan', 'xiaojv', 'xiaolv']\""]}, "execution_count": 23, "metadata": {}, "output_type": "execute_result"}], "source": ["agent.run(f\"\"\"\u5728\u8fd9\u4e9b\u5ba2\u6237\u540d\u5b57\u8f6c\u6362\u4e3a\u62fc\u97f3\\\n", "\u5e76\u6253\u5370\u8f93\u51fa\u5217\u8868\uff1a {customer_list}\\\n", "\u601d\u8003\u8fc7\u7a0b\u8bf7\u4f7f\u7528\u4e2d\u6587\u3002\"\"\") "]}, {"cell_type": "markdown", "id": "16f530a5-8c50-4648-951f-4e65d15ca93f", "metadata": {"jp-MarkdownHeadingCollapsed": true, "tags": []}, "source": ["#### 3\ufe0f\u20e3 \u4f7f\u7528\u8c03\u8bd5\u6a21\u5f0f"]}, {"cell_type": "markdown", "id": "951048dc-0414-410d-a0e9-6ef32bbdda89", "metadata": {"tags": []}, "source": ["\u5728\u8c03\u8bd5\uff08debug\uff09\u6a21\u5f0f\u4e0b\u518d\u6b21\u8fd0\u884c\uff0c\u6211\u4eec\u53ef\u4ee5\u628a\u4e0a\u9762\u76846\u6b65\u5206\u522b\u5bf9\u5e94\u5230\u4e0b\u9762\u7684\u5177\u4f53\u6d41\u7a0b\n", "1. \u6a21\u578b\u5bf9\u4e8e\u63a5\u4e0b\u6765\u9700\u8981\u505a\u4ec0\u4e48\uff0c\u7ed9\u51fa\u601d\u8003\uff08Thought\uff09\n", "    - <p style=\"font-family:verdana; font-size:12px;color:green\"> [chain/start] [1:chain:AgentExecutor] Entering Chain run with input</p>\n", "    - <p style=\"font-family:verdana; font-size:12px;color:green\"> [chain/start] [1:chain:AgentExecutor > 2:chain:LLMChain] Entering Chain run with input</p>\n", "    - <p style=\"font-family:verdana; font-size:12px;color:green\"> [llm/start] [1:chain:AgentExecutor > 2:chain:LLMChain > 3:llm:ChatOpenAI] Entering LLM run with input</p>\n", "    - <p style=\"font-family:verdana; font-size:12px;color:green\"> [llm/end] [1:chain:AgentExecutor > 2:chain:LLMChain > 3:llm:ChatOpenAI] [12.25s] Exiting LLM run with output</p>\n", "    - <p style=\"font-family:verdana; font-size:12px;color:green\">[chain/end] [1:chain:AgentExecutor > 2:chain:LLMChain] [12.25s] Exiting Chain run with output</p>\n", "2. \u6a21\u578b\u57fa\u4e8e\u601d\u8003\u91c7\u53d6\u884c\u52a8\uff08Action), \u56e0\u4e3a\u4f7f\u7528\u7684\u5de5\u5177\u4e0d\u540c\uff0cAction\u7684\u8f93\u51fa\u4e5f\u548c\u4e4b\u524d\u6709\u6240\u4e0d\u540c\uff0c\u8fd9\u91cc\u8f93\u51fa\u7684\u4e3apython\u4ee3\u7801\n", "    - <p style=\"font-family:verdana; font-size:12px;color:green\"> [tool/start] [1:chain:AgentExecutor > 4:tool:Python REPL] Entering Tool run with input</p>\n", "    - <p style=\"font-family:verdana; font-size:12px;color:green\"> [tool/end] [1:chain:AgentExecutor > 4:tool:Python REPL] [2.2239999999999998ms] Exiting Tool run with output</p>\n", "3. \u6a21\u578b\u5f97\u5230\u89c2\u5bdf\uff08Observation\uff09   \n", "    - <p style=\"font-family:verdana; font-size:12px;color:green\"> [chain/start] [1:chain:AgentExecutor > 5:chain:LLMChain] Entering Chain run with input</p>\n", "4. \u57fa\u4e8e\u89c2\u5bdf\uff0c\u6a21\u578b\u5bf9\u4e8e\u63a5\u4e0b\u6765\u9700\u8981\u505a\u4ec0\u4e48\uff0c\u7ed9\u51fa\u601d\u8003\uff08Thought\uff09   \n", "    - <p style=\"font-family:verdana; font-size:12px;color:green\"> [llm/start] [1:chain:AgentExecutor > 5:chain:LLMChain > 6:llm:ChatOpenAI] Entering LLM run with input</p>\n", "    - <p style=\"font-family:verdana; font-size:12px;color:green\"> [llm/end] [1:chain:AgentExecutor > 5:chain:LLMChain > 6:llm:ChatOpenAI] [6.94s] Exiting LLM run with output</p>\n", "    \n", "5. \u7ed9\u51fa\u6700\u7ec8\u7b54\u6848\uff08Final Answer\uff09 \n", "    - <p style=\"font-family:verdana; font-size:12px;color:green\"> [chain/end] [1:chain:AgentExecutor > 5:chain:LLMChain] [6.94s] Exiting Chain run with output</p>\n", "6. \u8fd4\u56de\u6700\u7ec8\u7b54\u6848\u3002\n", "    - <p style=\"font-family:verdana; font-size:12px;color:green\"> [chain/end] [1:chain:AgentExecutor] [19.20s] Exiting Chain run with output</p>"]}, {"cell_type": "code", "execution_count": 25, "id": "92b8961b-b990-4540-a7f9-e4701dfaa616", "metadata": {}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["\u001b[32;1m\u001b[1;3m[chain/start]\u001b[0m \u001b[1m[1:chain:AgentExecutor] Entering Chain run with input:\n", "\u001b[0m{\n", "  \"input\": \"\u5728\u8fd9\u4e9b\u5ba2\u6237\u540d\u5b57\u8f6c\u6362\u4e3a\u62fc\u97f3\u5e76\u6253\u5370\u8f93\u51fa\u5217\u8868\uff1a ['\u5c0f\u660e', '\u5c0f\u9ec4', '\u5c0f\u7ea2', '\u5c0f\u84dd', '\u5c0f\u6a58', '\u5c0f\u7eff']\u601d\u8003\u8fc7\u7a0b\u8bf7\u4f7f\u7528\u4e2d\u6587\u3002\"\n", "}\n", "\u001b[32;1m\u001b[1;3m[chain/start]\u001b[0m \u001b[1m[1:chain:AgentExecutor > 2:chain:LLMChain] Entering Chain run with input:\n", "\u001b[0m{\n", "  \"input\": \"\u5728\u8fd9\u4e9b\u5ba2\u6237\u540d\u5b57\u8f6c\u6362\u4e3a\u62fc\u97f3\u5e76\u6253\u5370\u8f93\u51fa\u5217\u8868\uff1a ['\u5c0f\u660e', '\u5c0f\u9ec4', '\u5c0f\u7ea2', '\u5c0f\u84dd', '\u5c0f\u6a58', '\u5c0f\u7eff']\u601d\u8003\u8fc7\u7a0b\u8bf7\u4f7f\u7528\u4e2d\u6587\u3002\",\n", "  \"agent_scratchpad\": \"\",\n", "  \"stop\": [\n", "    \"\\nObservation:\",\n", "    \"\\n\\tObservation:\"\n", "  ]\n", "}\n", "\u001b[32;1m\u001b[1;3m[llm/start]\u001b[0m \u001b[1m[1:chain:AgentExecutor > 2:chain:LLMChain > 3:llm:ChatOpenAI] Entering LLM run with input:\n", "\u001b[0m{\n", "  \"prompts\": [\n", "    \"Human: You are an agent designed to write and execute python code to answer questions.\\nYou have access to a python REPL, which you can use to execute python code.\\nIf you get an error, debug your code and try again.\\nOnly use the output of your code to answer the question. \\nYou might know the answer without running any code, but you should still run the code to get the answer.\\nIf it does not seem like you can write code to answer the question, just return \\\"I don't know\\\" as the answer.\\n\\n\\nPython_REPL: A Python shell. Use this to execute python commands. Input should be a valid python command. If you want to see the output of a value, you should print it out with `print(...)`.\\n\\nUse the following format:\\n\\nQuestion: the input question you must answer\\nThought: you should always think about what to do\\nAction: the action to take, should be one of [Python_REPL]\\nAction Input: the input to the action\\nObservation: the result of the action\\n... (this Thought/Action/Action Input/Observation can repeat N times)\\nThought: I now know the final answer\\nFinal Answer: the final answer to the original input question\\n\\nBegin!\\n\\nQuestion: \u5728\u8fd9\u4e9b\u5ba2\u6237\u540d\u5b57\u8f6c\u6362\u4e3a\u62fc\u97f3\u5e76\u6253\u5370\u8f93\u51fa\u5217\u8868\uff1a ['\u5c0f\u660e', '\u5c0f\u9ec4', '\u5c0f\u7ea2', '\u5c0f\u84dd', '\u5c0f\u6a58', '\u5c0f\u7eff']\u601d\u8003\u8fc7\u7a0b\u8bf7\u4f7f\u7528\u4e2d\u6587\u3002\\nThought:\"\n", "  ]\n", "}\n", "\u001b[36;1m\u001b[1;3m[llm/end]\u001b[0m \u001b[1m[1:chain:AgentExecutor > 2:chain:LLMChain > 3:llm:ChatOpenAI] [2.91s] Exiting LLM run with output:\n", "\u001b[0m{\n", "  \"generations\": [\n", "    [\n", "      {\n", "        \"text\": \"\u6211\u9700\u8981\u4f7f\u7528\u62fc\u97f3\u8f6c\u6362\u5e93\u6765\u5c06\u8fd9\u4e9b\u5ba2\u6237\u540d\u5b57\u8f6c\u6362\u4e3a\u62fc\u97f3\u3002\u6211\u53ef\u4ee5\u4f7f\u7528Python\u7684pinyin\u5e93\u6765\u5b8c\u6210\u8fd9\u4e2a\u4efb\u52a1\u3002\\nAction: Python_REPL\\nAction Input: import pinyin\",\n", "        \"generation_info\": null,\n", "        \"message\": {\n", "          \"content\": \"\u6211\u9700\u8981\u4f7f\u7528\u62fc\u97f3\u8f6c\u6362\u5e93\u6765\u5c06\u8fd9\u4e9b\u5ba2\u6237\u540d\u5b57\u8f6c\u6362\u4e3a\u62fc\u97f3\u3002\u6211\u53ef\u4ee5\u4f7f\u7528Python\u7684pinyin\u5e93\u6765\u5b8c\u6210\u8fd9\u4e2a\u4efb\u52a1\u3002\\nAction: Python_REPL\\nAction Input: import pinyin\",\n", "          \"additional_kwargs\": {},\n", "          \"example\": false\n", "        }\n", "      }\n", "    ]\n", "  ],\n", "  \"llm_output\": {\n", "    \"token_usage\": {\n", "      \"prompt_tokens\": 322,\n", "      \"completion_tokens\": 50,\n", "      \"total_tokens\": 372\n", "    },\n", "    \"model_name\": \"gpt-3.5-turbo\"\n", "  },\n", "  \"run\": null\n", "}\n", "\u001b[36;1m\u001b[1;3m[chain/end]\u001b[0m \u001b[1m[1:chain:AgentExecutor > 2:chain:LLMChain] [2.91s] Exiting Chain run with output:\n", "\u001b[0m{\n", "  \"text\": \"\u6211\u9700\u8981\u4f7f\u7528\u62fc\u97f3\u8f6c\u6362\u5e93\u6765\u5c06\u8fd9\u4e9b\u5ba2\u6237\u540d\u5b57\u8f6c\u6362\u4e3a\u62fc\u97f3\u3002\u6211\u53ef\u4ee5\u4f7f\u7528Python\u7684pinyin\u5e93\u6765\u5b8c\u6210\u8fd9\u4e2a\u4efb\u52a1\u3002\\nAction: Python_REPL\\nAction Input: import pinyin\"\n", "}\n", "\u001b[32;1m\u001b[1;3m[tool/start]\u001b[0m \u001b[1m[1:chain:AgentExecutor > 4:tool:Python_REPL] Entering Tool run with input:\n", "\u001b[0m\"import pinyin\"\n", "\u001b[36;1m\u001b[1;3m[tool/end]\u001b[0m \u001b[1m[1:chain:AgentExecutor > 4:tool:Python_REPL] [0.0ms] Exiting Tool run with output:\n", "\u001b[0m\"\"\n", "\u001b[32;1m\u001b[1;3m[chain/start]\u001b[0m \u001b[1m[1:chain:AgentExecutor > 5:chain:LLMChain] Entering Chain run with input:\n", "\u001b[0m{\n", "  \"input\": \"\u5728\u8fd9\u4e9b\u5ba2\u6237\u540d\u5b57\u8f6c\u6362\u4e3a\u62fc\u97f3\u5e76\u6253\u5370\u8f93\u51fa\u5217\u8868\uff1a ['\u5c0f\u660e', '\u5c0f\u9ec4', '\u5c0f\u7ea2', '\u5c0f\u84dd', '\u5c0f\u6a58', '\u5c0f\u7eff']\u601d\u8003\u8fc7\u7a0b\u8bf7\u4f7f\u7528\u4e2d\u6587\u3002\",\n", "  \"agent_scratchpad\": \"\u6211\u9700\u8981\u4f7f\u7528\u62fc\u97f3\u8f6c\u6362\u5e93\u6765\u5c06\u8fd9\u4e9b\u5ba2\u6237\u540d\u5b57\u8f6c\u6362\u4e3a\u62fc\u97f3\u3002\u6211\u53ef\u4ee5\u4f7f\u7528Python\u7684pinyin\u5e93\u6765\u5b8c\u6210\u8fd9\u4e2a\u4efb\u52a1\u3002\\nAction: Python_REPL\\nAction Input: import pinyin\\nObservation: \\nThought:\",\n", "  \"stop\": [\n", "    \"\\nObservation:\",\n", "    \"\\n\\tObservation:\"\n", "  ]\n", "}\n", "\u001b[32;1m\u001b[1;3m[llm/start]\u001b[0m \u001b[1m[1:chain:AgentExecutor > 5:chain:LLMChain > 6:llm:ChatOpenAI] Entering LLM run with input:\n", "\u001b[0m{\n", "  \"prompts\": [\n", "    \"Human: You are an agent designed to write and execute python code to answer questions.\\nYou have access to a python REPL, which you can use to execute python code.\\nIf you get an error, debug your code and try again.\\nOnly use the output of your code to answer the question. \\nYou might know the answer without running any code, but you should still run the code to get the answer.\\nIf it does not seem like you can write code to answer the question, just return \\\"I don't know\\\" as the answer.\\n\\n\\nPython_REPL: A Python shell. Use this to execute python commands. Input should be a valid python command. If you want to see the output of a value, you should print it out with `print(...)`.\\n\\nUse the following format:\\n\\nQuestion: the input question you must answer\\nThought: you should always think about what to do\\nAction: the action to take, should be one of [Python_REPL]\\nAction Input: the input to the action\\nObservation: the result of the action\\n... (this Thought/Action/Action Input/Observation can repeat N times)\\nThought: I now know the final answer\\nFinal Answer: the final answer to the original input question\\n\\nBegin!\\n\\nQuestion: \u5728\u8fd9\u4e9b\u5ba2\u6237\u540d\u5b57\u8f6c\u6362\u4e3a\u62fc\u97f3\u5e76\u6253\u5370\u8f93\u51fa\u5217\u8868\uff1a ['\u5c0f\u660e', '\u5c0f\u9ec4', '\u5c0f\u7ea2', '\u5c0f\u84dd', '\u5c0f\u6a58', '\u5c0f\u7eff']\u601d\u8003\u8fc7\u7a0b\u8bf7\u4f7f\u7528\u4e2d\u6587\u3002\\nThought:\u6211\u9700\u8981\u4f7f\u7528\u62fc\u97f3\u8f6c\u6362\u5e93\u6765\u5c06\u8fd9\u4e9b\u5ba2\u6237\u540d\u5b57\u8f6c\u6362\u4e3a\u62fc\u97f3\u3002\u6211\u53ef\u4ee5\u4f7f\u7528Python\u7684pinyin\u5e93\u6765\u5b8c\u6210\u8fd9\u4e2a\u4efb\u52a1\u3002\\nAction: Python_REPL\\nAction Input: import pinyin\\nObservation: \\nThought:\"\n", "  ]\n", "}\n"]}, {"name": "stderr", "output_type": "stream", "text": ["Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 1.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 2.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 4.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n"]}, {"name": "stdout", "output_type": "stream", "text": ["\u001b[36;1m\u001b[1;3m[llm/end]\u001b[0m \u001b[1m[1:chain:AgentExecutor > 5:chain:LLMChain > 6:llm:ChatOpenAI] [12.76s] Exiting LLM run with output:\n", "\u001b[0m{\n", "  \"generations\": [\n", "    [\n", "      {\n", "        \"text\": \"\u6211\u73b0\u5728\u53ef\u4ee5\u4f7f\u7528pinyin\u5e93\u6765\u5c06\u5ba2\u6237\u540d\u5b57\u8f6c\u6362\u4e3a\u62fc\u97f3\u3002\\nAction: Python_REPL\\nAction Input: names = ['\u5c0f\u660e', '\u5c0f\u9ec4', '\u5c0f\u7ea2', '\u5c0f\u84dd', '\u5c0f\u6a58', '\u5c0f\u7eff']\\npinyin_names = [pinyin.get(i, format='strip', delimiter='') for i in names]\\nprint(pinyin_names)\",\n", "        \"generation_info\": null,\n", "        \"message\": {\n", "          \"content\": \"\u6211\u73b0\u5728\u53ef\u4ee5\u4f7f\u7528pinyin\u5e93\u6765\u5c06\u5ba2\u6237\u540d\u5b57\u8f6c\u6362\u4e3a\u62fc\u97f3\u3002\\nAction: Python_REPL\\nAction Input: names = ['\u5c0f\u660e', '\u5c0f\u9ec4', '\u5c0f\u7ea2', '\u5c0f\u84dd', '\u5c0f\u6a58', '\u5c0f\u7eff']\\npinyin_names = [pinyin.get(i, format='strip', delimiter='') for i in names]\\nprint(pinyin_names)\",\n", "          \"additional_kwargs\": {},\n", "          \"example\": false\n", "        }\n", "      }\n", "    ]\n", "  ],\n", "  \"llm_output\": {\n", "    \"token_usage\": {\n", "      \"prompt_tokens\": 379,\n", "      \"completion_tokens\": 89,\n", "      \"total_tokens\": 468\n", "    },\n", "    \"model_name\": \"gpt-3.5-turbo\"\n", "  },\n", "  \"run\": null\n", "}\n", "\u001b[36;1m\u001b[1;3m[chain/end]\u001b[0m \u001b[1m[1:chain:AgentExecutor > 5:chain:LLMChain] [12.77s] Exiting Chain run with output:\n", "\u001b[0m{\n", "  \"text\": \"\u6211\u73b0\u5728\u53ef\u4ee5\u4f7f\u7528pinyin\u5e93\u6765\u5c06\u5ba2\u6237\u540d\u5b57\u8f6c\u6362\u4e3a\u62fc\u97f3\u3002\\nAction: Python_REPL\\nAction Input: names = ['\u5c0f\u660e', '\u5c0f\u9ec4', '\u5c0f\u7ea2', '\u5c0f\u84dd', '\u5c0f\u6a58', '\u5c0f\u7eff']\\npinyin_names = [pinyin.get(i, format='strip', delimiter='') for i in names]\\nprint(pinyin_names)\"\n", "}\n", "\u001b[32;1m\u001b[1;3m[tool/start]\u001b[0m \u001b[1m[1:chain:AgentExecutor > 7:tool:Python_REPL] Entering Tool run with input:\n", "\u001b[0m\"names = ['\u5c0f\u660e', '\u5c0f\u9ec4', '\u5c0f\u7ea2', '\u5c0f\u84dd', '\u5c0f\u6a58', '\u5c0f\u7eff']\n", "pinyin_names = [pinyin.get(i, format='strip', delimiter='') for i in names]\n", "print(pinyin_names)\"\n", "\u001b[36;1m\u001b[1;3m[tool/end]\u001b[0m \u001b[1m[1:chain:AgentExecutor > 7:tool:Python_REPL] [0.0ms] Exiting Tool run with output:\n", "\u001b[0m\"['xiaoming', 'xiaohuang', 'xiaohong', 'xiaolan', 'xiaoju', 'xiaolv']\"\n", "\u001b[32;1m\u001b[1;3m[chain/start]\u001b[0m \u001b[1m[1:chain:AgentExecutor > 8:chain:LLMChain] Entering Chain run with input:\n", "\u001b[0m{\n", "  \"input\": \"\u5728\u8fd9\u4e9b\u5ba2\u6237\u540d\u5b57\u8f6c\u6362\u4e3a\u62fc\u97f3\u5e76\u6253\u5370\u8f93\u51fa\u5217\u8868\uff1a ['\u5c0f\u660e', '\u5c0f\u9ec4', '\u5c0f\u7ea2', '\u5c0f\u84dd', '\u5c0f\u6a58', '\u5c0f\u7eff']\u601d\u8003\u8fc7\u7a0b\u8bf7\u4f7f\u7528\u4e2d\u6587\u3002\",\n", "  \"agent_scratchpad\": \"\u6211\u9700\u8981\u4f7f\u7528\u62fc\u97f3\u8f6c\u6362\u5e93\u6765\u5c06\u8fd9\u4e9b\u5ba2\u6237\u540d\u5b57\u8f6c\u6362\u4e3a\u62fc\u97f3\u3002\u6211\u53ef\u4ee5\u4f7f\u7528Python\u7684pinyin\u5e93\u6765\u5b8c\u6210\u8fd9\u4e2a\u4efb\u52a1\u3002\\nAction: Python_REPL\\nAction Input: import pinyin\\nObservation: \\nThought:\u6211\u73b0\u5728\u53ef\u4ee5\u4f7f\u7528pinyin\u5e93\u6765\u5c06\u5ba2\u6237\u540d\u5b57\u8f6c\u6362\u4e3a\u62fc\u97f3\u3002\\nAction: Python_REPL\\nAction Input: names = ['\u5c0f\u660e', '\u5c0f\u9ec4', '\u5c0f\u7ea2', '\u5c0f\u84dd', '\u5c0f\u6a58', '\u5c0f\u7eff']\\npinyin_names = [pinyin.get(i, format='strip', delimiter='') for i in names]\\nprint(pinyin_names)\\nObservation: ['xiaoming', 'xiaohuang', 'xiaohong', 'xiaolan', 'xiaoju', 'xiaolv']\\n\\nThought:\",\n", "  \"stop\": [\n", "    \"\\nObservation:\",\n", "    \"\\n\\tObservation:\"\n", "  ]\n", "}\n", "\u001b[32;1m\u001b[1;3m[llm/start]\u001b[0m \u001b[1m[1:chain:AgentExecutor > 8:chain:LLMChain > 9:llm:ChatOpenAI] Entering LLM run with input:\n", "\u001b[0m{\n", "  \"prompts\": [\n", "    \"Human: You are an agent designed to write and execute python code to answer questions.\\nYou have access to a python REPL, which you can use to execute python code.\\nIf you get an error, debug your code and try again.\\nOnly use the output of your code to answer the question. \\nYou might know the answer without running any code, but you should still run the code to get the answer.\\nIf it does not seem like you can write code to answer the question, just return \\\"I don't know\\\" as the answer.\\n\\n\\nPython_REPL: A Python shell. Use this to execute python commands. Input should be a valid python command. If you want to see the output of a value, you should print it out with `print(...)`.\\n\\nUse the following format:\\n\\nQuestion: the input question you must answer\\nThought: you should always think about what to do\\nAction: the action to take, should be one of [Python_REPL]\\nAction Input: the input to the action\\nObservation: the result of the action\\n... (this Thought/Action/Action Input/Observation can repeat N times)\\nThought: I now know the final answer\\nFinal Answer: the final answer to the original input question\\n\\nBegin!\\n\\nQuestion: \u5728\u8fd9\u4e9b\u5ba2\u6237\u540d\u5b57\u8f6c\u6362\u4e3a\u62fc\u97f3\u5e76\u6253\u5370\u8f93\u51fa\u5217\u8868\uff1a ['\u5c0f\u660e', '\u5c0f\u9ec4', '\u5c0f\u7ea2', '\u5c0f\u84dd', '\u5c0f\u6a58', '\u5c0f\u7eff']\u601d\u8003\u8fc7\u7a0b\u8bf7\u4f7f\u7528\u4e2d\u6587\u3002\\nThought:\u6211\u9700\u8981\u4f7f\u7528\u62fc\u97f3\u8f6c\u6362\u5e93\u6765\u5c06\u8fd9\u4e9b\u5ba2\u6237\u540d\u5b57\u8f6c\u6362\u4e3a\u62fc\u97f3\u3002\u6211\u53ef\u4ee5\u4f7f\u7528Python\u7684pinyin\u5e93\u6765\u5b8c\u6210\u8fd9\u4e2a\u4efb\u52a1\u3002\\nAction: Python_REPL\\nAction Input: import pinyin\\nObservation: \\nThought:\u6211\u73b0\u5728\u53ef\u4ee5\u4f7f\u7528pinyin\u5e93\u6765\u5c06\u5ba2\u6237\u540d\u5b57\u8f6c\u6362\u4e3a\u62fc\u97f3\u3002\\nAction: Python_REPL\\nAction Input: names = ['\u5c0f\u660e', '\u5c0f\u9ec4', '\u5c0f\u7ea2', '\u5c0f\u84dd', '\u5c0f\u6a58', '\u5c0f\u7eff']\\npinyin_names = [pinyin.get(i, format='strip', delimiter='') for i in names]\\nprint(pinyin_names)\\nObservation: ['xiaoming', 'xiaohuang', 'xiaohong', 'xiaolan', 'xiaoju', 'xiaolv']\\n\\nThought:\"\n", "  ]\n", "}\n"]}, {"name": "stderr", "output_type": "stream", "text": ["Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 1.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 2.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 4.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n", "Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 8.0 seconds as it raised RateLimitError: Rate limit reached for default-gpt-3.5-turbo in organization org-2YlJyPMl62f07XPJCAlXfDxj on requests per min. Limit: 3 / min. Please try again in 20s. Contact us through our help center at help.openai.com if you continue to have issues. Please add a payment method to your account to increase your rate limit. Visit https://platform.openai.com/account/billing to add a payment method..\n"]}, {"name": "stdout", "output_type": "stream", "text": ["\u001b[36;1m\u001b[1;3m[llm/end]\u001b[0m \u001b[1m[1:chain:AgentExecutor > 8:chain:LLMChain > 9:llm:ChatOpenAI] [20.25s] Exiting LLM run with output:\n", "\u001b[0m{\n", "  \"generations\": [\n", "    [\n", "      {\n", "        \"text\": \"\u6211\u73b0\u5728\u77e5\u9053\u4e86\u6700\u7ec8\u7b54\u6848\u3002\\nFinal Answer: ['xiaoming', 'xiaohuang', 'xiaohong', 'xiaolan', 'xiaoju', 'xiaolv']\",\n", "        \"generation_info\": null,\n", "        \"message\": {\n", "          \"content\": \"\u6211\u73b0\u5728\u77e5\u9053\u4e86\u6700\u7ec8\u7b54\u6848\u3002\\nFinal Answer: ['xiaoming', 'xiaohuang', 'xiaohong', 'xiaolan', 'xiaoju', 'xiaolv']\",\n", "          \"additional_kwargs\": {},\n", "          \"example\": false\n", "        }\n", "      }\n", "    ]\n", "  ],\n", "  \"llm_output\": {\n", "    \"token_usage\": {\n", "      \"prompt_tokens\": 500,\n", "      \"completion_tokens\": 43,\n", "      \"total_tokens\": 543\n", "    },\n", "    \"model_name\": \"gpt-3.5-turbo\"\n", "  },\n", "  \"run\": null\n", "}\n", "\u001b[36;1m\u001b[1;3m[chain/end]\u001b[0m \u001b[1m[1:chain:AgentExecutor > 8:chain:LLMChain] [20.25s] Exiting Chain run with output:\n", "\u001b[0m{\n", "  \"text\": \"\u6211\u73b0\u5728\u77e5\u9053\u4e86\u6700\u7ec8\u7b54\u6848\u3002\\nFinal Answer: ['xiaoming', 'xiaohuang', 'xiaohong', 'xiaolan', 'xiaoju', 'xiaolv']\"\n", "}\n", "\u001b[36;1m\u001b[1;3m[chain/end]\u001b[0m \u001b[1m[1:chain:AgentExecutor] [35.93s] Exiting Chain run with output:\n", "\u001b[0m{\n", "  \"output\": \"['xiaoming', 'xiaohuang', 'xiaohong', 'xiaolan', 'xiaoju', 'xiaolv']\"\n", "}\n"]}], "source": ["import langchain\n", "langchain.debug=True\n", "agent.run(f\"\"\"\u5728\u8fd9\u4e9b\u5ba2\u6237\u540d\u5b57\u8f6c\u6362\u4e3a\u62fc\u97f3\\\n", "\u5e76\u6253\u5370\u8f93\u51fa\u5217\u8868\uff1a {customer_list}\\\n", "\u601d\u8003\u8fc7\u7a0b\u8bf7\u4f7f\u7528\u4e2d\u6587\u3002\"\"\") \n", "langchain.debug=False"]}, {"cell_type": "markdown", "id": "6b2ba50d-53c4-4eab-9467-98f562a072cc", "metadata": {"tags": []}, "source": ["## \u4e09\u3001 \u5b9a\u4e49\u81ea\u5df1\u7684\u5de5\u5177\u5e76\u5728\u4ee3\u7406\u4e2d\u4f7f\u7528"]}, {"cell_type": "code", "execution_count": 26, "id": "d8e88bdf-01d2-4adc-b2af-086ece6ba97d", "metadata": {}, "outputs": [], "source": ["# \u5982\u679c\u4f60\u9700\u8981\u67e5\u770b\u5b89\u88c5\u8fc7\u7a0b\u65e5\u5fd7\uff0c\u53ef\u5220\u9664 -q \n", "!pip install -q DateTime"]}, {"cell_type": "markdown", "id": "fb92f6e4-21ab-494d-9c22-d0678050fd37", "metadata": {}, "source": ["### 3.1 \u521b\u5efa\u548c\u4f7f\u7528\u81ea\u5b9a\u4e49\u65f6\u95f4\u5de5\u5177"]}, {"cell_type": "code", "execution_count": 27, "id": "4b7e80e4-48d5-48f0-abeb-3dc33678ed9e", "metadata": {}, "outputs": [], "source": ["# \u5bfc\u5165tool\u51fd\u6570\u88c5\u9970\u5668\n", "from langchain.agents import tool\n", "from datetime import date"]}, {"cell_type": "markdown", "id": "8990b3c6-fe05-45b6-9567-06baec267a99", "metadata": {}, "source": ["#### 1\ufe0f\u20e3 \u4f7f\u7528tool\u51fd\u6570\u88c5\u9970\u5668\u6784\u5efa\u81ea\u5b9a\u4e49\u5de5\u5177\n", "tool\u51fd\u6570\u88c5\u9970\u5668\u53ef\u4ee5\u5e94\u7528\u7528\u4e8e\u4efb\u4f55\u51fd\u6570\uff0c\u5c06\u51fd\u6570\u8f6c\u5316\u4e3aLongChain\u5de5\u5177\uff0c\u4f7f\u5176\u6210\u4e3a\u4ee3\u7406\u53ef\u8c03\u7528\u7684\u5de5\u5177\u3002\n", "\n", "\u6211\u4eec\u9700\u8981\u7ed9\u51fd\u6570\u52a0\u4e0a\u975e\u5e38\u8be6\u7ec6\u7684\u6587\u6863\u5b57\u7b26\u4e32, \u4f7f\u5f97\u4ee3\u7406\u77e5\u9053\u5728\u4ec0\u4e48\u60c5\u51b5\u4e0b\u3001\u5982\u4f55\u4f7f\u7528\u8be5\u51fd\u6570/\u5de5\u5177\u3002\n", "\n", "\u6bd4\u5982\u4e0b\u9762\u7684\u51fd\u6570`time`,\u6211\u4eec\u52a0\u4e0a\u4e86\u8be6\u7ec6\u7684\u6587\u6863\u5b57\u7b26\u4e32\n", "\n", "```python\n", "\"\"\"\n", "\u8fd4\u56de\u4eca\u5929\u7684\u65e5\u671f\uff0c\u7528\u4e8e\u4efb\u4f55\u4e0e\u83b7\u53d6\u4eca\u5929\u65e5\u671f\u76f8\u5173\u7684\u95ee\u9898\u3002\n", "\u8f93\u5165\u5e94\u8be5\u59cb\u7ec8\u662f\u4e00\u4e2a\u7a7a\u5b57\u7b26\u4e32\uff0c\u8be5\u51fd\u6570\u5c06\u59cb\u7ec8\u8fd4\u56de\u4eca\u5929\u7684\u65e5\u671f\u3002\n", "\u4efb\u4f55\u65e5\u671f\u7684\u8ba1\u7b97\u5e94\u8be5\u5728\u6b64\u51fd\u6570\u4e4b\u5916\u8fdb\u884c\u3002\n", "\"\"\"\n", "\n", "```"]}, {"cell_type": "code", "execution_count": 28, "id": "e22a823f-3749-4bda-bac3-1b892da77929", "metadata": {}, "outputs": [], "source": ["@tool\n", "def time(text: str) -> str:\n", "    \"\"\"\n", "    \u8fd4\u56de\u4eca\u5929\u7684\u65e5\u671f\uff0c\u7528\u4e8e\u4efb\u4f55\u9700\u8981\u77e5\u9053\u4eca\u5929\u65e5\u671f\u7684\u95ee\u9898\u3002\\\n", "    \u8f93\u5165\u5e94\u8be5\u603b\u662f\u4e00\u4e2a\u7a7a\u5b57\u7b26\u4e32\uff0c\\\n", "    \u8fd9\u4e2a\u51fd\u6570\u5c06\u603b\u662f\u8fd4\u56de\u4eca\u5929\u7684\u65e5\u671f\uff0c\u4efb\u4f55\u65e5\u671f\u8ba1\u7b97\u5e94\u8be5\u5728\u8fd9\u4e2a\u51fd\u6570\u4e4b\u5916\u8fdb\u884c\u3002\n", "    \"\"\"\n", "    return str(date.today())"]}, {"cell_type": "markdown", "id": "440cb348-0ec6-4999-a6cd-81cb48b8c546", "metadata": {}, "source": ["#### 2\ufe0f\u20e3 \u521d\u59cb\u5316\u4ee3\u7406"]}, {"cell_type": "code", "execution_count": 36, "id": "09c9f59e-c14c-41b9-b6bd-0e97e8be72ab", "metadata": {}, "outputs": [], "source": ["agent= initialize_agent(\n", "    tools=[time], #\u5c06\u521a\u521a\u521b\u5efa\u7684\u65f6\u95f4\u5de5\u5177\u52a0\u5165\u4ee3\u7406\n", "    llm=llm, #\u521d\u59cb\u5316\u7684\u6a21\u578b\n", "    agent=AgentType.CHAT_ZERO_SHOT_REACT_DESCRIPTION,  #\u4ee3\u7406\u7c7b\u578b\n", "    handle_parsing_errors=True, #\u5904\u7406\u89e3\u6790\u9519\u8bef\n", "    verbose = True #\u8f93\u51fa\u4e2d\u95f4\u6b65\u9aa4\n", ")"]}, {"cell_type": "markdown", "id": "f1a10657-23f2-4f78-a247-73f272119eb4", "metadata": {}, "source": ["#### 3\ufe0f\u20e3 \u4f7f\u7528\u4ee3\u7406\u8be2\u95ee\u4eca\u5929\u7684\u65e5\u671f\n", "**\u6ce8**: \u4ee3\u7406\u6709\u65f6\u5019\u53ef\u80fd\u4f1a\u51fa\u9519\uff08\u8be5\u529f\u80fd\u6b63\u5728\u5f00\u53d1\u4e2d\uff09\u3002\u5982\u679c\u51fa\u73b0\u9519\u8bef\uff0c\u8bf7\u5c1d\u8bd5\u518d\u6b21\u8fd0\u884c\u5b83\u3002"]}, {"cell_type": "code", "execution_count": 37, "id": "f868e30b-ec67-4d76-9dc9-81ecd3332115", "metadata": {}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["\n", "\n", "\u001b[1m> Entering new  chain...\u001b[0m\n", "\u001b[32;1m\u001b[1;3m\u6839\u636e\u63d0\u4f9b\u7684\u5de5\u5177\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528`time`\u51fd\u6570\u6765\u83b7\u53d6\u4eca\u5929\u7684\u65e5\u671f\u3002\n", "\n", "Thought: \u4f7f\u7528`time`\u51fd\u6570\u6765\u83b7\u53d6\u4eca\u5929\u7684\u65e5\u671f\u3002\n", "\n", "Action:\n", "```\n", "{\n", "  \"action\": \"time\",\n", "  \"action_input\": \"\"\n", "}\n", "```\n", "\n", "\u001b[0m\n", "Observation: \u001b[36;1m\u001b[1;3m2023-07-04\u001b[0m\n", "Thought:\u001b[32;1m\u001b[1;3m\u6211\u73b0\u5728\u77e5\u9053\u4e86\u6700\u7ec8\u7b54\u6848\u3002\n", "Final Answer: \u4eca\u5929\u7684\u65e5\u671f\u662f2023-07-04\u3002\u001b[0m\n", "\n", "\u001b[1m> Finished chain.\u001b[0m\n"]}, {"data": {"text/plain": ["{'input': '\u4eca\u5929\u7684\u65e5\u671f\u662f\uff1f', 'output': '\u4eca\u5929\u7684\u65e5\u671f\u662f2023-07-04\u3002'}"]}, "execution_count": 37, "metadata": {}, "output_type": "execute_result"}], "source": ["agent(\"\u4eca\u5929\u7684\u65e5\u671f\u662f\uff1f\") "]}, {"cell_type": "markdown", "id": "923a199f-08e8-4e70-afb5-70cd3e123acf", "metadata": {}, "source": ["\u2705 **\u603b\u7ed3**\n", "\n", "1. \u6a21\u578b\u5bf9\u4e8e\u63a5\u4e0b\u6765\u9700\u8981\u505a\u4ec0\u4e48\uff0c\u7ed9\u51fa\u601d\u8003\uff08Thought\uff09 \n", "   <p style=\"font-family:verdana; font-size:12px;color:green\"> <strong>\u601d\u8003</strong>\uff1a\u6211\u9700\u8981\u4f7f\u7528 time \u5de5\u5177\u6765\u83b7\u53d6\u4eca\u5929\u7684\u65e5\u671f</p>\n", "\n", "2. \u6a21\u578b\u57fa\u4e8e\u601d\u8003\u91c7\u53d6\u884c\u52a8\uff08Action), \u56e0\u4e3a\u4f7f\u7528\u7684\u5de5\u5177\u4e0d\u540c\uff0cAction\u7684\u8f93\u51fa\u4e5f\u548c\u4e4b\u524d\u6709\u6240\u4e0d\u540c\uff0c\u8fd9\u91cc\u8f93\u51fa\u7684\u4e3apython\u4ee3\u7801\n", "    <p style=\"font-family:verdana; font-size:12px;color:green\"> <strong>\u884c\u52a8</strong>: \u4f7f\u7528time\u5de5\u5177\uff0c\u8f93\u5165\u4e3a\u7a7a\u5b57\u7b26\u4e32</p>\n", "    \n", "   \n", "3. \u6a21\u578b\u5f97\u5230\u89c2\u5bdf\uff08Observation\uff09\n", "    <p style=\"font-family:verdana; font-size:12px;color:green\"><strong>\u89c2\u6d4b</strong>: 2023-07-04</p>\n", "    \n", "   \n", "    \n", "4. \u57fa\u4e8e\u89c2\u5bdf\uff0c\u6a21\u578b\u5bf9\u4e8e\u63a5\u4e0b\u6765\u9700\u8981\u505a\u4ec0\u4e48\uff0c\u7ed9\u51fa\u601d\u8003\uff08Thought\uff09\n", "    <p style=\"font-family:verdana; font-size:12px;color:green\"> <strong>\u601d\u8003</strong>: \u6211\u5df2\u6210\u529f\u4f7f\u7528 time \u5de5\u5177\u68c0\u7d22\u5230\u4e86\u4eca\u5929\u7684\u65e5\u671f</p>\n", "\n", "5. \u7ed9\u51fa\u6700\u7ec8\u7b54\u6848\uff08Final Answer\uff09\n", "     <p style=\"font-family:verdana; font-size:12px;color:green\"> <strong>\u6700\u7ec8\u7b54\u6848</strong>: \u4eca\u5929\u7684\u65e5\u671f\u662f2023-07-04.</p>\n", "6. \u8fd4\u56de\u6700\u7ec8\u7b54\u6848\u3002"]}], "metadata": {"kernelspec": {"display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3"}, "language_info": {"codemirror_mode": {"name": "ipython", "version": 3}, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.12"}, "toc": {"base_numbering": 1, "nav_menu": {}, "number_sections": false, "sideBar": true, "skip_h1_title": false, "title_cell": "Table of Contents", "title_sidebar": "Contents", "toc_cell": false, "toc_position": {}, "toc_section_display": true, "toc_window_display": true}}, "nbformat": 4, "nbformat_minor": 5}
\ No newline at end of file
diff --git "a/content/\345\277\205\344\277\256\344\270\211-LangChain for LLM Application Development/requirements.txt" "b/content/\345\277\205\344\277\256\344\270\211-LangChain for LLM Application Development/requirements.txt"
deleted file mode 100644
index 3455d43c..00000000
--- "a/content/\345\277\205\344\277\256\344\270\211-LangChain for LLM Application Development/requirements.txt"	
+++ /dev/null
@@ -1,13 +0,0 @@
-DateTime==5.5
-docarray==0.40.0
-langchain==0.2.3
-langchain-community==0.2.4
-langchain_experimental==0.0.60
-numexpr==2.10.0
-openai==1.33.0
-pandas==2.2.2
-pinyin==0.4.0
-python-dotenv==1.0.1
-tiktoken==0.7.0
-wikipedia==1.4.0
-xpinyin==0.7.6
\ No newline at end of file
diff --git "a/content/\345\277\205\344\277\256\345\233\233-LangChain Chat with Your Data/1.\347\256\200\344\273\213 Introduction.md" "b/content/\345\277\205\344\277\256\345\233\233-LangChain Chat with Your Data/1.\347\256\200\344\273\213 Introduction.md"
index 8e7272a4..39119e53 100644
--- "a/content/\345\277\205\344\277\256\345\233\233-LangChain Chat with Your Data/1.\347\256\200\344\273\213 Introduction.md"	
+++ "b/content/\345\277\205\344\277\256\345\233\233-LangChain Chat with Your Data/1.\347\256\200\344\273\213 Introduction.md"	
@@ -1,6 +1,6 @@
 # 第一章 简介
 
-本课程由哈里森·蔡斯（Harrison Chase，LangChain作者）与Deeplearning.ai合作开发，课程将介绍如何使用LangChain和自有数据进行对话。
+本课程由哈里森·蔡斯 (Harrison Chase，LangChain作者）与Deeplearning.ai合作开发，课程将介绍如何使用LangChain和自有数据进行对话。
 
 
 ## 一、背景
diff --git "a/content/\345\277\205\344\277\256\345\233\233-LangChain Chat with Your Data/2.\346\226\207\346\241\243\345\212\240\350\275\275 Document Loading.ipynb" "b/content/\345\277\205\344\277\256\345\233\233-LangChain Chat with Your Data/2.\346\226\207\346\241\243\345\212\240\350\275\275 Document Loading.ipynb"
index 776f0d5a..f6d620a9 100644
--- "a/content/\345\277\205\344\277\256\345\233\233-LangChain Chat with Your Data/2.\346\226\207\346\241\243\345\212\240\350\275\275 Document Loading.ipynb"	
+++ "b/content/\345\277\205\344\277\256\345\233\233-LangChain Chat with Your Data/2.\346\226\207\346\241\243\345\212\240\350\275\275 Document Loading.ipynb"	
@@ -1 +1 @@
-{"cells":[{"cell_type":"markdown","id":"cc2eb3ad-8c1c-406a-b7aa-a3f61b754ac5","metadata":{},"source":["# 第二章 文档加载\n","\n"," - [一、PDF文档](#一、PDF文档)\n","     - [1.1 安装相关包 ](#1.1-安装相关包-)\n","     - [1.2 加载PDF文档](#1.2-加载PDF文档)\n","     - [1.3 探索加载的数据](#1.3-探索加载的数据)\n"," - [二、网页文档](#二、网页文档)\n","     - [2.1 加载网页文档](#2.1-加载网页文档)\n","     - [2.2 探索加载的数据](#2.2-探索加载的数据)\n"," - [三、Notion文档](#三、Notion文档)\n","     - [3.1 加载Notion Markdown文档](#3.1-加载Notion-Markdown文档)\n","     - [3.2 探索加载的数据](#3.2-探索加载的数据)\n"]},{"cell_type":"markdown","id":"89e612a5","metadata":{},"source":["同前序课程一样，我们同样需要先配置环境以访问 OpenAI 提供的 API，配置方法如下，详细介绍请参见其他课程"]},{"cell_type":"code","execution_count":1,"id":"bb73a77f-e17c-45a2-b456-e3ad2bf0fb5c","metadata":{},"outputs":[],"source":["import os\n","import openai\n","\n","from dotenv import load_dotenv, find_dotenv\n","_ = load_dotenv(find_dotenv()) \n","\n","openai.api_key  = os.environ['OPENAI_API_KEY']\n","openai.base_url = os.environ['OPENAI_API_BASE']"]},{"cell_type":"markdown","id":"63558db2-5279-4c1b-9bec-355ab04731e6","metadata":{},"source":["## 一、PDF文档\n","\n","首先，我们来加载一个[PDF文档](https://see.stanford.edu/materials/aimlcs229/transcripts/MachineLearning-Lecture01.pdf)。该文档为吴恩达教授的2009年机器学习课程的字幕文件。因为这些字幕为自动生成，所以词句直接可能不太连贯和通畅。"]},{"cell_type":"markdown","id":"dd5fe85c-6aae-4739-9b47-68e791afc9ac","metadata":{},"source":["### 1.1 安装相关包 "]},{"cell_type":"markdown","id":"8dcb2102-0414-4130-952b-3b6fa33b61bb","metadata":{},"source":["### 1.2 加载PDF文档"]},{"cell_type":"code","execution_count":2,"id":"52d9891f-a8cc-47c4-8c09-81794647a720","metadata":{},"outputs":[],"source":["from langchain_community.document_loaders.pdf import PyPDFLoader\n","\n","# 创建一个 PyPDFLoader Class 实例，输入为待加载的pdf文档路径\n","loader = PyPDFLoader(\"docs/cs229_lectures/MachineLearning-Lecture01.pdf\")\n","\n","# 调用 PyPDFLoader Class 的函数 load对pdf文件进行加载\n","pages = loader.load()"]},{"cell_type":"markdown","id":"68d40600-49ab-42a3-97d0-b9a2c4ab8139","metadata":{},"source":["### 1.3 探索加载的数据"]},{"cell_type":"markdown","id":"feca9f1e-1596-49f2-a6d9-6eeaeffbd90b","metadata":{},"source":["文档加载后储存在`pages`变量中:\n","- `page`的变量类型为`List`\n","- 打印 `pages` 的长度可以看到pdf一共包含多少页"]},{"cell_type":"code","execution_count":3,"id":"9463b982-c71c-4241-b3a3-b040170eef2e","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["<class 'list'>\n"]}],"source":["print(type(pages))"]},{"cell_type":"code","execution_count":4,"id":"67a2b815-586f-43a5-96a4-cfe46001a766","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["22\n"]}],"source":["print(len(pages))"]},{"cell_type":"markdown","id":"2cde6b9d-71c8-4851-a8f6-a3f0e76f6dab","metadata":{},"source":["`page`中的每一元素为一个文档，变量类型为`langchain.schema.Document`, 文档变量类型包含两个属性\n","- `page_content` 包含该文档的内容。\n","- `meta_data` 为文档相关的描述性数据。"]},{"cell_type":"code","execution_count":5,"id":"921827ae-3a5b-4f29-b015-a5dde3be1410","metadata":{},"outputs":[],"source":["page = pages[0]"]},{"cell_type":"code","execution_count":6,"id":"aadaa840-0f30-4ae3-b06b-7fe8f468d146","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["<class 'langchain_core.documents.base.Document'>\n"]}],"source":["print(type(page))"]},{"cell_type":"code","execution_count":7,"id":"85777ce2-42c7-4e11-b1ba-06fd6a0d8502","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["MachineLearning-Lecture01  \n","Instructor (Andrew Ng):  Okay. Good morning. Welcome to CS229, the machine \n","learning class. So what I wanna do today is ju st spend a little time going over the logistics \n","of the class, and then we'll start to  talk a bit about machine learning.  \n","By way of introduction, my name's  Andrew Ng and I'll be instru ctor for this class. And so \n","I personally work in machine learning, and I' ve worked on it for about 15 years now, and \n","I actually think that machine learning i\n"]}],"source":["print(page.page_content[0:500])"]},{"cell_type":"code","execution_count":8,"id":"8a1f8acd-f8c7-46af-a29f-df172067deba","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["{'source': 'docs/cs229_lectures/MachineLearning-Lecture01.pdf', 'page': 0}\n"]}],"source":["print(page.metadata)"]},{"cell_type":"markdown","id":"5b7ddc7d-2d40-4811-8cb3-5e73344ebe24","metadata":{},"source":["## 二、网页文档\n","\n","本部分，对于给定网页文档链接(URLs)，我们学习如何对其进行加载。这里我们对Github上的网页文档进行加载，该文档格式为markdown。"]},{"cell_type":"markdown","id":"b28abf4d-4907-47f6-b54d-6d322a5794e6","metadata":{},"source":["### 2.1 加载网页文档"]},{"cell_type":"code","execution_count":9,"id":"1a68375f-44ae-4905-bf9c-1f01ec800481","metadata":{},"outputs":[{"name":"stderr","output_type":"stream","text":["WARNING:root:USER_AGENT environment variable not set, consider setting it to identify your requests.\n"]}],"source":["from langchain.document_loaders import WebBaseLoader\n","\n","\n","# 创建一个 WebBaseLoader Class 实例\n","url = \"https://github.com/datawhalechina/llm-cookbook/blob/main/README.md\"\n","header = {'User-Agent': 'python-requests/2.27.1', \n","          'Accept-Encoding': 'gzip, deflate, br', \n","          'Accept': '*/*',\n","          'Connection': 'keep-alive'}\n","loader = WebBaseLoader(web_path=url,header_template=header)\n","\n","# 调用 WebBaseLoader Class 的函数 load对文件进行加载\n","docs = loader.load()"]},{"cell_type":"markdown","id":"fc24f44a-01f5-49a3-9529-2f05c1053b2c","metadata":{"tags":[]},"source":["### 2.2 探索加载的数据"]},{"cell_type":"markdown","id":"f2f108b9-713b-4b98-b44d-4dfc3dcbcde2","metadata":{},"source":["文档加载后储存在`docs`变量中:\n","- `docs`的变量类型为`List`\n","- 打印 `docs` 的长度可以看到一共包含多少页"]},{"cell_type":"code","execution_count":10,"id":"8c8670fa-203b-4c35-9266-f976f50f0f5d","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["<class 'list'>\n"]}],"source":["print(type(docs))"]},{"cell_type":"code","execution_count":11,"id":"0e85a526-55e7-4186-8697-d16a891bcabc","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["1\n"]}],"source":["print(len(docs))"]},{"cell_type":"markdown","id":"b4397791-4d3c-4609-86be-3cda90a3f2fc","metadata":{},"source":["`docs`中的每一元素为一个文档，变量类型为`langchain.schema.document.Document`, 文档变量类型包含两个属性\n","- `page_content` 包含该文档的内容。\n","- `meta_data` 为文档相关的描述性数据。"]},{"cell_type":"code","execution_count":12,"id":"26423c51-6503-478c-b17d-bbe57049a04c","metadata":{},"outputs":[],"source":["doc = docs[0]"]},{"cell_type":"code","execution_count":13,"id":"a243638f-0c23-46b8-8854-13f1f1de6f0a","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["<class 'langchain_core.documents.base.Document'>\n"]}],"source":["print(type(doc))"]},{"cell_type":"code","execution_count":14,"id":"9f237541-79b7-4ae4-9e0e-27a28af99b7a","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","llm-cookbook/README.md at main · datawhalechina/llm-cookbook · GitHub\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","Skip to content\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","Navigation Menu\n","\n","Toggle navigation\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","          Sign in\n","        \n","\n","\n"," \n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","        Product\n","        \n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","Actions\n","        Automate any workflow\n","      \n","\n","\n","\n","\n","\n","\n","\n","Packages\n","        Host and manage packages\n","      \n","\n","\n","\n","\n","\n","\n","\n","Security\n","        Find and fix vulnerabilities\n","      \n","\n","\n","\n","\n","\n","\n","\n","Codespaces\n","        Instant dev environments\n","      \n","\n","\n","\n","\n","\n","\n","\n","GitHub Copilot\n","        Write better code with AI\n","      \n","\n","\n","\n","\n","\n","\n","\n","Code review\n","        Manage code changes\n","      \n","\n","\n","\n","\n","\n","\n","\n","Issues\n","        Plan and track 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\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","          Code\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","          Issues\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","          Pull requests\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","          Actions\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","          Projects\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","          Security\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","          Insights\n","\n","\n","\n","\n","\n"," \n","\n","\n","\n","\n","\n","\n","\n","    Files mainBreadcrumbsllm-cookbook/README.md Blame  Blame        Latest commit HistoryHistory143 lines (94 loc) · 13.1 KB mainBreadcrumbsllm-cookbook/README.mdTopFile metadata and controlsPreviewCodeBlame143 lines (94 loc) · 13.1 KBRaw\n","面向开发者的大模型手册 - LLM Cookbook\n","项目简介\n","本项目是一个面向开发者的大模型手册，针对国内开发者的实际需求，主打 LLM 全方位入门实践。本项目基于吴恩达老师大模型系列课程内容，对原课程内容进行筛选、翻译、复现和调优，覆盖从 Prompt Engineering 到 RAG 开发、模型微调的全部流程，用最适合国内学习者的方式，指导国内开发者如何学习、入门 LLM 相关项目。\n","针对不同内容的特点，我们对共计 11 门吴恩达老师的大模型课程进行了翻译复现，并结合国内学习者的实际情况，对不同课程进行了分级和排序，初学者可以先系统学习我们的必修类课程，掌握入门 LLM 所有方向都需要掌握的基础技能和概念，再选择性地学习我们的选修类课程，在自己感兴趣的方向上不断探索和学习。\n","如果有你非常喜欢但我们还没有进行复现的吴恩达老师大模型课程，我们欢迎每一位开发者参考我们已有课程的格式和写法来对课程进行复现并提交 PR，在 PR 审核通过后，我们会根据课程内容将课程进行分级合并。欢迎每一位开发者的贡献！\n","在线阅读地址：面向开发者的 LLM 入门课程-在线阅读\n","PDF下载地址：面向开发者的 LLM 入门教程-PDF\n","英文原版地址：吴恩达关于大模型的系列课程\n","项目意义\n","LLM 正在逐步改变人们的生活，而对于开发者，如何基于 LLM 提供的 API 快速、便捷地开发一些具备更强能力、集成LLM 的应用，来便捷地实现一些更新颖、更实用的能力，是一个急需学习的重要能力。\n","由吴恩达老师与 OpenAI 合作推出的大模型系列教程，从大模型时代开发者的基础技能出发，深入浅出地介绍了如何基于大模型 API、LangChain 架构快速开发结合大模型强大能力的应用。其中，《Prompt Engineering for Developers》教程面向入门 LLM 的开发者，深入浅出地介绍了对于开发者，如何构造 Prompt 并基于 OpenAI 提供的 API 实现包括总结、推断、转换等多种常用功能，是入门 LLM 开发的经典教程；《Building Systems with the ChatGPT API》教程面向想要基于 LLM 开发应用程序的开发者，简洁有效而又系统全面地介绍了如何基于 ChatGPT API 打造完整的对话系统；《LangChain for LLM Application Development》教程结合经典大模型开源框架 LangChain，介绍了如何基于 LangChain 框架开发具备实用功能、能力全面的应用程序，《LangChain Chat With Your Data》教程则在此基础上进一步介绍了如何使用 LangChain 架构结合个人私有数据开发个性化大模型应用；《Building Generative AI Applications with Gradio》、《Evaluating and Debugging Generative AI》教程分别介绍了两个实用工具 Gradio 与 W&B，指导开发者如何结合这两个工具来打造、评估生成式 AI 应用。\n","上述教程非常适用于开发者学习以开启基于 LLM 实际搭建应用程序之路。因此，我们将该系列课程翻译为中文，并复现其范例代码，也为其中一个视频增加了中文字幕，支持国内中文学习者直接使用，以帮助中文学习者更好地学习 LLM 开发；我们也同时实现了效果大致相当的中文 Prompt，支持学习者感受中文语境下 LLM 的学习使用，对比掌握多语言语境下的 Prompt 设计与 LLM 开发。未来，我们也将加入更多 Prompt 高级技巧，以丰富本课程内容，帮助开发者掌握更多、更巧妙的 Prompt 技能。\n","项目受众\n","所有具备基础 Python 能力，想要入门 LLM 的开发者。\n","项目亮点\n","《ChatGPT Prompt Engineering for Developers》、《Building Systems with the ChatGPT API》等教程作为由吴恩达老师与 OpenAI 联合推出的官方教程，在可预见的未来会成为 LLM 的重要入门教程，但是目前还只支持英文版且国内访问受限，打造中文版且国内流畅访问的教程具有重要意义；同时，GPT 对中文、英文具有不同的理解能力，本教程在多次对比、实验之后确定了效果大致相当的中文 Prompt，支持学习者研究如何提升 ChatGPT 在中文语境下的理解与生成能力。\n","学习指南\n","本教程适用于所有具备基础 Python 能力，想要入门 LLM 的开发者。\n","如果你想要开始学习本教程，你需要提前具备：\n","\n","至少一个 LLM API（最好是 OpenAI，如果是其他 API，你可能需要参考其他教程对 API 调用代码进行修改）\n","能够使用 Python Jupyter Notebook\n","\n","本教程共包括 11 门课程，分为必修类、选修类两个类别。必修类课程是我们认为最适合初学者学习以入门 LLM 的课程，包括了入门 LLM 所有方向都需要掌握的基础技能和概念，我们也针对必修类课程制作了适合阅读的在线阅读和 PDF 版本，在学习必修类课程时，我们建议学习者按照我们列出的顺序进行学习；选修类课程是在必修类课程上的拓展延伸，包括了 RAG 开发、模型微调、模型评估等多个方面，适合学习者在掌握了必修类课程之后选择自己感兴趣的方向和课程进行学习。\n","必修类课程包括：\n","\n","面向开发者的 Prompt Engineering。基于吴恩达老师《ChatGPT Prompt Engineering for Developers》课程打造，面向入门 LLM 的开发者，深入浅出地介绍了对于开发者，如何构造 Prompt 并基于 OpenAI 提供的 API 实现包括总结、推断、转换等多种常用功能，是入门 LLM 开发的第一步。\n","搭建基于 ChatGPT 的问答系统。基于吴恩达老师《Building Systems with the ChatGPT API》课程打造，指导开发者如何基于 ChatGPT 提供的 API 开发一个完整的、全面的智能问答系统。通过代码实践，实现了基于 ChatGPT 开发问答系统的全流程，介绍了基于大模型开发的新范式，是大模型开发的实践基础。\n","使用 LangChain 开发应用程序。基于吴恩达老师《LangChain for LLM Application Development》课程打造，对 LangChain 展开深入介绍，帮助学习者了解如何使用 LangChain，并基于 LangChain 开发完整的、具备强大能力的应用程序。\n","使用 LangChain 访问个人数据。基于吴恩达老师《LangChain Chat with Your Data》课程打造，深入拓展 LangChain 提供的个人数据访问能力，指导开发者如何使用 LangChain 开发能够访问用户个人数据、提供个性化服务的大模型应用。\n","\n","选修类课程包括：\n","\n","使用 Gradio 搭建生成式 AI 应用。基于吴恩达老师《Building Generative AI Applications with Gradio》课程打造，指导开发者如何使用 Gradio 通过 Python 接口程序快速、高效地为生成式 AI 构建用户界面。\n","评估改进生成式 AI。基于吴恩达老师《Evaluating and Debugging Generative AI》课程打造，结合 wandb，提供一套系统化的方法和工具，帮助开发者有效地跟踪和调试生成式 AI 模型。\n","微调大语言模型。基于吴恩达老师《Finetuning Large Language Model》课程打造，结合 lamini 框架，讲述如何便捷高效地在本地基于个人数据微调开源大语言模型。\n","大模型与语义检索。基于吴恩达老师《Large Language Models with Semantic Search》课程打造，针对检索增强生成，讲述了多种高级检索技巧以实现更准确、高效的检索增强 LLM 生成效果。\n","基于 Chroma 的高级检索。基于吴恩达老师《Advanced Retrieval for AI with Chroma》课程打造，旨在介绍基于 Chroma 的高级检索技术，提升检索结果的准确性。\n","搭建和评估高级 RAG 应用。基于吴恩达老师《Building and Evaluating Advanced RAG Applications》课程打造，介绍构建和实现高质量RAG系统所需的关键技术和评估框架。\n","LangChain 的 Functions、Tools 和 Agents。基于吴恩达老师《Functions, Tools and Agents with LangChain》课程打造，介绍如何基于 LangChain 的新语法构建 Agent。\n","Prompt 高级技巧。包括 CoT、自我一致性等多种 Prompt 高级技巧的基础理论与代码实现。\n","\n","其他资料包括：\n","双语字幕视频地址：吴恩达 x OpenAI的Prompt Engineering课程专业翻译版\n","中英双语字幕下载：《ChatGPT提示工程》非官方版中英双语字幕\n","视频讲解：面向开发者的 Prompt Engineering 讲解（数字游民大会）\n","目录结构说明：\n","content：基于原课程复现的双语版代码，可运行的 Notebook，更新频率最高，更新速度最快。\n","\n","docs：必修类课程文字教程版在线阅读源码，适合阅读的 md。\n","\n","figures：图片文件。\n","\n","致谢\n","核心贡献者\n","\n","邹雨衡-项目负责人（Datawhale成员-对外经济贸易大学研究生）\n","长琴-项目发起人（内容创作者-Datawhale成员-AI算法工程师）\n","玉琳-项目发起人（内容创作者-Datawhale成员）\n","徐虎-教程编撰者（内容创作者-Datawhale成员）\n","刘伟鸿-教程编撰者（内容创作者-江南大学非全研究生）\n","Joye-教程编撰者（内容创作者-数据科学家）\n","高立业（内容创作者-DataWhale成员-算法工程师）\n","邓宇文（内容创作者-Datawhale成员）\n","魂兮（内容创作者-前端工程师）\n","宋志学（内容创作者-Datawhale成员）\n","韩颐堃（内容创作者-Datawhale成员）\n","陈逸涵 (内容创作者-Datawhale意向成员-AI爱好者)\n","仲泰（内容创作者-Datawhale成员）\n","万礼行（内容创作者-视频翻译者）\n","王熠明（内容创作者-Datawhale成员）\n","曾浩龙（内容创作者-Datawhale 意向成员-JLU AI 研究生）\n","小饭同学（内容创作者）\n","孙韩玉（内容创作者-算法量化部署工程师）\n","张银晗（内容创作者-Datawhale成员）\n","左春生（内容创作者-Datawhale成员）\n","张晋（内容创作者-Datawhale成员）\n","李娇娇（内容创作者-Datawhale成员）\n","邓恺俊（内容创作者-Datawhale成员）\n","范致远（内容创作者-Datawhale成员）\n","周景林（内容创作者-Datawhale成员）\n","诸世纪（内容创作者-算法工程师）\n","Zhang Yixin（内容创作者-IT爱好者）\n","Sarai（内容创作者-AI应用爱好者）\n","\n","其他\n","\n","特别感谢 @Sm1les、@LSGOMYP 对本项目的帮助与支持；\n","感谢 GithubDaily 提供的双语字幕；\n","如果有任何想法可以联系我们 DataWhale 也欢迎大家多多提出 issue；\n","特别感谢以下为教程做出贡献的同学！\n","\n","\n","\n","\n","Made with contrib.rocks.\n","Star History\n","\n","关注我们\n","\n","扫描下方二维码关注公众号：Datawhale\n","\n","\n","Datawhale 是一个专注于数据科学与 AI 领域的开源组织，汇集了众多领域院校和知名企业的优秀学习者，聚合了一群有开源精神和探索精神的团队成员。微信搜索公众号Datawhale可以加入我们。\n","LICENSE\n","本作品采用知识共享署名-非商业性使用-相同方式共享 4.0 国际许可协议进行许可。\n","       \n","\n","\n","\n","\n","\n","\n","\n","\n","Footer\n","\n","\n","\n","\n","\n","\n","\n","\n","        © 2024 GitHub, Inc.\n","      \n","\n","\n","Footer navigation\n","\n","\n","Terms\n","\n","\n","Privacy\n","\n","\n","Security\n","\n","\n","Status\n","\n","\n","Docs\n","\n","\n","Contact\n","\n","\n","\n","\n","      Manage cookies\n","    \n","\n","\n","\n","\n","\n","      Do not share my personal information\n","    \n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","    You can’t perform that action at this time.\n","  \n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n","\n"]}],"source":["print(doc.page_content)"]},{"cell_type":"markdown","id":"52025103-205e-4137-a116-89f37fcfece1","metadata":{},"source":["langchain现在的版本会自动提取网页中的内容，但上面的文档内容仍包含许多冗余的信息。我们需要进行对这种数据进行进一步处理(Post Processing)。"]},{"cell_type":"code","execution_count":15,"id":"a7c5281f-aeed-4ee7-849b-bbf9fd3e35c7","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["面向开发者的大模型手册 - LLM Cookbook\n","项目简介\n","本项目是一个面向开发者的大模型手册，针对国内开发者的实际需求，主打 LLM 全方位入门实践。本项目基于吴恩达老师大模型系列课程内容，对原课程内容进行筛选、翻译、复现和调优，覆盖从 Prompt Engineering 到 RAG 开发、模型微调的全部流程，用最适合国内学习者的方式，指导国内开发者如何学习、入门 LLM 相关项目。\n","针对不同内容的特点，我们对共计 11 门吴恩达老师的大模型课程进行了翻译复现，并结合国内学习者的实际情况，对不同课程进行了分级和排序，初学者可以先系统学习我们的必修类课程，掌握入门 LLM 所有方向都需要掌握的基础技能和概念，再选择性地学习我们的选修类课程，在自己感兴趣的方向上不断探索和学习。\n","如果有你非常喜欢但我们还没有进行复现的吴恩达老师大模型课程，我们欢迎每一位开发者参考我们已有课程的格式和写法来对课程进行复现并提交 PR，在 PR 审核通过后，我们会根据课程内容将课程进行分级合并。欢迎每一位开发者的贡献！\n","在线阅读地址：面向开发者的 LLM 入门课程-在线阅读\n","PDF下载地址：面向开发者的 LLM 入门教程-PDF\n","英文原版地址：吴恩达关于大模型的系列课程\n","项目意义\n","LLM 正在逐步改变人们的生活，而对于开发者，如何基于 LLM 提供的 API 快速、便捷地开发一些具备更强能力、集成LLM 的应用，来便捷地实现一些更新颖、更实用的能力，是一个急需学习的重要能力。\n","由吴恩达老师与 OpenAI 合作推出的大模型系列教程，从大模型时代开发者的基础技能出发，深入浅出地介绍了如何基于大模型 API、LangChain 架构快速开发结合大模型强大能力的应用。其中，《Prompt Engineering for Developers》教程面向入门 LLM 的开发者，深入浅出地介绍了对于开发者，如何构造 Prompt 并基于 OpenAI 提供的 API 实现包括总结、推断、转换等多种常用功能，是入门 LLM 开发的经典教程；《Building Systems with the ChatGPT API》教程面向想要基于 LLM 开发应用程序的开发者，简洁有效而又系统全面地介绍了如何基于 ChatGPT API 打造完整的对话系统；《LangChain for LLM Application Development》教程结合经典大模型开源框架 LangChain，介绍了如何基于 LangChain 框架开发具备实用功能、能力全面的应用程序，《LangChain Chat With Your Data》教程则在此基础上进一步介绍了如何使用 LangChain 架构结合个人私有数据开发个性化大模型应用；《Building Generative AI Applications with Gradio》、《Evaluating and Debugging Generative AI》教程分别介绍了两个实用工具 Gradio 与 W&B，指导开发者如何结合这两个工具来打造、评估生成式 AI 应用。\n","上述教程非常适用于开发者学习以开启基于 LLM 实际搭建应用程序之路。因此，我们将该系列课程翻译为中文，并复现其范例代码，也为其中一个视频增加了中文字幕，支持国内中文学习者直接使用，以帮助中文学习者更好地学习 LLM 开发；我们也同时实现了效果大致相当的中文 Prompt，支持学习者感受中文语境下 LLM 的学习使用，对比掌握多语言语境下的 Prompt 设计与 LLM 开发。未来，我们也将加入更多 Prompt 高级技巧，以丰富本课程内容，帮助开发者掌握更多、更巧妙的 Prompt 技能。\n","项目受众\n","所有具备基础 Python 能力，想要入门 LLM 的开发者。\n","项目亮点\n","《ChatGPT Prompt Engineering for Developers》、《Building Systems with the ChatGPT API》等教程作为由吴恩达老师与 OpenAI 联合推出的官方教程，在可预见的未来会成为 LLM 的重要入门教程，但是目前还只支持英文版且国内访问受限，打造中文版且国内流畅访问的教程具有重要意义；同时，GPT 对中文、英文具有不同的理解能力，本教程在多次对比、实验之后确定了效果大致相当的中文 Prompt，支持学习者研究如何提升 ChatGPT 在中文语境下的理解与生成能力。\n","学习指南\n","本教程适用于所有具备基础 Python 能力，想要入门 LLM 的开发者。\n","如果你想要开始学习本教程，你需要提前具备：\n","\n","至少一个 LLM API（最好是 OpenAI，如果是其他 API，你可能需要参考其他教程对 API 调用代码进行修改）\n","能够使用 Python Jupyter Notebook\n","\n","本教程共包括 11 门课程，分为必修类、选修类两个类别。必修类课程是我们认为最适合初学者学习以入门 LLM 的课程，包括了入门 LLM 所有方向都需要掌握的基础技能和概念，我们也针对必修类课程制作了适合阅读的在线阅读和 PDF 版本，在学习必修类课程时，我们建议学习者按照我们列出的顺序进行学习；选修类课程是在必修类课程上的拓展延伸，包括了 RAG 开发、模型微调、模型评估等多个方面，适合学习者在掌握了必修类课程之后选择自己感兴趣的方向和课程进行学习。\n","必修类课程包括：\n","\n","面向开发者的 Prompt Engineering。基于吴恩达老师《ChatGPT Prompt Engineering for Developers》课程打造，面向入门 LLM 的开发者，深入浅出地介绍了对于开发者，如何构造 Prompt 并基于 OpenAI 提供的 API 实现包括总结、推断、转换等多种常用功能，是入门 LLM 开发的第一步。\n","搭建基于 ChatGPT 的问答系统。基于吴恩达老师《Building Systems with the ChatGPT API》课程打造，指导开发者如何基于 ChatGPT 提供的 API 开发一个完整的、全面的智能问答系统。通过代码实践，实现了基于 ChatGPT 开发问答系统的全流程，介绍了基于大模型开发的新范式，是大模型开发的实践基础。\n","使用 LangChain 开发应用程序。基于吴恩达老师《LangChain for LLM Application Development》课程打造，对 LangChain 展开深入介绍，帮助学习者了解如何使用 LangChain，并基于 LangChain 开发完整的、具备强大能力的应用程序。\n","使用 LangChain 访问个人数据。基于吴恩达老师《LangChain Chat with Your Data》课程打造，深入拓展 LangChain 提供的个人数据访问能力，指导开发者如何使用 LangChain 开发能够访问用户个人数据、提供个性化服务的大模型应用。\n","\n","选修类课程包括：\n","\n","使用 Gradio 搭建生成式 AI 应用。基于吴恩达老师《Building Generative AI Applications with Gradio》课程打造，指导开发者如何使用 Gradio 通过 Python 接口程序快速、高效地为生成式 AI 构建用户界面。\n","评估改进生成式 AI。基于吴恩达老师《Evaluating and Debugging Generative AI》课程打造，结合 wandb，提供一套系统化的方法和工具，帮助开发者有效地跟踪和调试生成式 AI 模型。\n","微调大语言模型。基于吴恩达老师《Finetuning Large Language Model》课程打造，结合 lamini 框架，讲述如何便捷高效地在本地基于个人数据微调开源大语言模型。\n","大模型与语义检索。基于吴恩达老师《Large Language Models with Semantic Search》课程打造，针对检索增强生成，讲述了多种高级检索技巧以实现更准确、高效的检索增强 LLM 生成效果。\n","基于 Chroma 的高级检索。基于吴恩达老师《Advanced Retrieval for AI with Chroma》课程打造，旨在介绍基于 Chroma 的高级检索技术，提升检索结果的准确性。\n","搭建和评估高级 RAG 应用。基于吴恩达老师《Building and Evaluating Advanced RAG Applications》课程打造，介绍构建和实现高质量RAG系统所需的关键技术和评估框架。\n","LangChain 的 Functions、Tools 和 Agents。基于吴恩达老师《Functions, Tools and Agents with LangChain》课程打造，介绍如何基于 LangChain 的新语法构建 Agent。\n","Prompt 高级技巧。包括 CoT、自我一致性等多种 Prompt 高级技巧的基础理论与代码实现。\n","\n","其他资料包括：\n","双语字幕视频地址：吴恩达 x OpenAI的Prompt Engineering课程专业翻译版\n","中英双语字幕下载：《ChatGPT提示工程》非官方版中英双语字幕\n","视频讲解：面向开发者的 Prompt Engineering 讲解（数字游民大会）\n","目录结构说明：\n","content：基于原课程复现的双语版代码，可运行的 Notebook，更新频率最高，更新速度最快。\n","\n","docs：必修类课程文字教程版在线阅读源码，适合阅读的 md。\n","\n","figures：图片文件。\n","\n","致谢\n","核心贡献者\n","\n","邹雨衡-项目负责人（Datawhale成员-对外经济贸易大学研究生）\n","长琴-项目发起人（内容创作者-Datawhale成员-AI算法工程师）\n","玉琳-项目发起人（内容创作者-Datawhale成员）\n","徐虎-教程编撰者（内容创作者-Datawhale成员）\n","刘伟鸿-教程编撰者（内容创作者-江南大学非全研究生）\n","Joye-教程编撰者（内容创作者-数据科学家）\n","高立业（内容创作者-DataWhale成员-算法工程师）\n","邓宇文（内容创作者-Datawhale成员）\n","魂兮（内容创作者-前端工程师）\n","宋志学（内容创作者-Datawhale成员）\n","韩颐堃（内容创作者-Datawhale成员）\n","陈逸涵 (内容创作者-Datawhale意向成员-AI爱好者)\n","仲泰（内容创作者-Datawhale成员）\n","万礼行（内容创作者-视频翻译者）\n","王熠明（内容创作者-Datawhale成员）\n","曾浩龙（内容创作者-Datawhale 意向成员-JLU AI 研究生）\n","小饭同学（内容创作者）\n","孙韩玉（内容创作者-算法量化部署工程师）\n","张银晗（内容创作者-Datawhale成员）\n","左春生（内容创作者-Datawhale成员）\n","张晋（内容创作者-Datawhale成员）\n","李娇娇（内容创作者-Datawhale成员）\n","邓恺俊（内容创作者-Datawhale成员）\n","范致远（内容创作者-Datawhale成员）\n","周景林（内容创作者-Datawhale成员）\n","诸世纪（内容创作者-算法工程师）\n","Zhang Yixin（内容创作者-IT爱好者）\n","Sarai（内容创作者-AI应用爱好者）\n","\n","其他\n","\n","特别感谢 @Sm1les、@LSGOMYP 对本项目的帮助与支持；\n","感谢 GithubDaily 提供的双语字幕；\n","如果有任何想法可以联系我们 DataWhale 也欢迎大家多多提出 issue；\n","特别感谢以下为教程做出贡献的同学！\n","\n","\n","\n","\n","Made with contrib.rocks.\n","Star History\n","\n","关注我们\n","\n","扫描下方二维码关注公众号：Datawhale\n","\n","\n","Datawhale 是一个专注于数据科学与 AI 领域的开源组织，汇集了众多领域院校和知名企业的优秀学习者，聚合了一群有开源精神和探索精神的团队成员。微信搜索公众号Datawhale可以加入我们。\n","LICENSE\n","本作品采用知识共享署名-非商业性使用-相同方式共享 4.0 \n"]}],"source":["start_index = doc.page_content.find(\"面向开发者的大模型手册\")\n","end_index = doc.page_content.find(\"国际许可协议进行许可。\")\n","print(doc.page_content[start_index:end_index])"]},{"cell_type":"markdown","id":"d35e99b4-dd67-4940-bbeb-b2a59bf8cd3d","metadata":{},"source":["## 三、Notion文档\n","\n","- 点击[Notion示例文档](https://yolospace.notion.site/Blendle-s-Employee-Handbook-e31bff7da17346ee99f531087d8b133f)右上方复制按钮(Duplicate)，复制文档到你的Notion空间\n","- 点击右上方`⋯` 按钮，选择导出为Mardown&CSV。导出的文件将为zip文件夹\n","- 解压并保存mardown文档到本地路径`docs/Notion_DB/`"]},{"cell_type":"markdown","id":"f8cf2778-288c-4964-81e7-0ed881e31652","metadata":{},"source":["### 3.1 加载Notion Markdown文档"]},{"cell_type":"code","execution_count":16,"id":"081f5ee4-6b5d-45bf-a7e6-079abc560729","metadata":{},"outputs":[],"source":["from langchain.document_loaders import NotionDirectoryLoader\n","loader = NotionDirectoryLoader(\"docs/Notion_DB\")\n","docs = loader.load()"]},{"cell_type":"markdown","id":"88d5d094-a490-4c64-ab93-5c5cec0853aa","metadata":{"tags":[]},"source":["### 3.2 探索加载的数据"]},{"cell_type":"markdown","id":"a3ffe318-d22a-4687-b613-f679ad9ad616","metadata":{},"source":["文档加载后储存在`docs`变量中:\n","- `docs`的变量类型为`List`\n","- 打印 `docs` 的长度可以看到一共包含多少页"]},{"cell_type":"code","execution_count":17,"id":"106323dd-0d24-40d4-8302-ed2a35d13347","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["<class 'list'>\n"]}],"source":["print(type(docs))"]},{"cell_type":"code","execution_count":18,"id":"fa3ee0fe-7daa-4193-9ee1-4ee89cb3b843","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["51\n"]}],"source":["print(len(docs))"]},{"cell_type":"markdown","id":"b3cd3feb-d2c1-46b6-8b16-d4b2101c5632","metadata":{},"source":["`docs`中的每一元素为一个文档，变量类型为`langchain.schema.document.Document`, 文档变量类型包含两个属性\n","- `page_content` 包含该文档的内容。\n","- `meta_data` 为文档相关的描述性数据。"]},{"cell_type":"code","execution_count":19,"id":"5b220df6-fd0b-4b62-9da4-29962926fe87","metadata":{},"outputs":[],"source":["doc = docs[0]"]},{"cell_type":"code","execution_count":20,"id":"98ef8fbf-e820-41de-919d-c462a910f4f1","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["<class 'langchain_core.documents.base.Document'>\n"]}],"source":["print(type(doc))"]},{"cell_type":"code","execution_count":21,"id":"933da0f3-4d5f-4363-9142-050ecf226c1f","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["# Firing\n","\n","Saying goodbye to Blendle (from a colleague) and to a colleague (from Blendle) is a very normal and natural thing. When done right, it can even be a beautiful thing. \n","\n","We advise you to read the backdrop below first, but feel free to jump in right away with the 'Here's what you can do'-section :). General note: you do not have to do this alone, so please ask for advice and help!\n","\n","- **Backdrop**\n","    \n","    Saying goodbye to Blendle (from a colleague) and to a colleague (from Blendle) is a \n"]}],"source":["print(doc.page_content[0:500])"]}],"metadata":{"kernelspec":{"display_name":"Python 3 (ipykernel)","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.11.9"}},"nbformat":4,"nbformat_minor":5}
+{"cells":[{"cell_type":"markdown","id":"cc2eb3ad-8c1c-406a-b7aa-a3f61b754ac5","metadata":{},"source":["# 第二章 文档加载\n","\n"," - [一、PDF文档](#一、PDF文档)\n","     - [1.1 安装相关包 ](#1.1-安装相关包-)\n","     - [1.2 加载PDF文档](#1.2-加载PDF文档)\n","     - [1.3 探索加载的数据](#1.3-探索加载的数据)\n"," - [二、YouTube音频](#二、YouTube音频)\n","     - [2.1 安装相关包 ](#2.1-安装相关包-)\n","     - [2.2 加载Youtube音频文档](#2.2-加载Youtube音频文档)\n","     - [2.3 探索加载的数据](#2.3-探索加载的数据)\n"," - [三、网页文档](#三、网页文档)\n","     - [3.1 加载网页文档](#3.1-加载网页文档)\n","     - [3.2 探索加载的数据](#3.2-探索加载的数据)\n"," - [四、Notion文档](#四、Notion文档)\n","     - [4.1 加载Notion Markdown文档](#4.1-加载Notion-Markdown文档)\n","     - [4.2 探索加载的数据](#4.2-探索加载的数据)\n"]},{"cell_type":"markdown","id":"89e612a5","metadata":{},"source":["同前序课程一样，我们同样需要先配置环境以访问 OpenAI 提供的 API，配置方法如下，详细介绍请参见其他课程"]},{"cell_type":"code","execution_count":1,"id":"582125c3-2afb-4cca-b651-c1810a5e5c22","metadata":{},"outputs":[],"source":["# 下载最新版 LangChain\n","!pip install -q langchain --upgrade"]},{"cell_type":"code","execution_count":2,"id":"bb73a77f-e17c-45a2-b456-e3ad2bf0fb5c","metadata":{},"outputs":[],"source":["import os\n","import openai\n","import sys\n","sys.path.append('../..')\n","\n","from dotenv import load_dotenv, find_dotenv\n","_ = load_dotenv(find_dotenv()) \n","\n","openai.api_key  = os.environ['OPENAI_API_KEY']"]},{"cell_type":"markdown","id":"63558db2-5279-4c1b-9bec-355ab04731e6","metadata":{},"source":["## 一、PDF文档\n","\n","首先，我们来加载一个[PDF文档](https://see.stanford.edu/materials/aimlcs229/transcripts/MachineLearning-Lecture01.pdf)。该文档为吴恩达教授的2009年机器学习课程的字幕文件。因为这些字幕为自动生成，所以词句直接可能不太连贯和通畅。"]},{"cell_type":"markdown","id":"dd5fe85c-6aae-4739-9b47-68e791afc9ac","metadata":{},"source":["### 1.1 安装相关包 "]},{"cell_type":"code","execution_count":3,"id":"c527f944-35dc-44a2-9cf9-9887cf315f3a","metadata":{},"outputs":[],"source":["!pip install -q pypdf"]},{"cell_type":"markdown","id":"8dcb2102-0414-4130-952b-3b6fa33b61bb","metadata":{},"source":["### 1.2 加载PDF文档"]},{"cell_type":"code","execution_count":4,"id":"52d9891f-a8cc-47c4-8c09-81794647a720","metadata":{},"outputs":[],"source":["from langchain.document_loaders import PyPDFLoader\n","\n","# 创建一个 PyPDFLoader Class 实例，输入为待加载的pdf文档路径\n","loader = PyPDFLoader(\"docs/cs229_lectures/MachineLearning-Lecture01.pdf\")\n","\n","# 调用 PyPDFLoader Class 的函数 load对pdf文件进行加载\n","pages = loader.load()"]},{"cell_type":"markdown","id":"68d40600-49ab-42a3-97d0-b9a2c4ab8139","metadata":{},"source":["### 1.3 探索加载的数据"]},{"cell_type":"markdown","id":"feca9f1e-1596-49f2-a6d9-6eeaeffbd90b","metadata":{},"source":["文档加载后储存在`pages`变量中:\n","- `page`的变量类型为`List`\n","- 打印 `pages` 的长度可以看到pdf一共包含多少页"]},{"cell_type":"code","execution_count":5,"id":"9463b982-c71c-4241-b3a3-b040170eef2e","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["<class 'list'>\n"]}],"source":["print(type(pages))"]},{"cell_type":"code","execution_count":6,"id":"67a2b815-586f-43a5-96a4-cfe46001a766","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["22\n"]}],"source":["print(len(pages))"]},{"cell_type":"markdown","id":"2cde6b9d-71c8-4851-a8f6-a3f0e76f6dab","metadata":{},"source":["`page`中的每一元素为一个文档，变量类型为`langchain.schema.Document`, 文档变量类型包含两个属性\n","- `page_content` 包含该文档的内容。\n","- `meta_data` 为文档相关的描述性数据。"]},{"cell_type":"code","execution_count":7,"id":"921827ae-3a5b-4f29-b015-a5dde3be1410","metadata":{},"outputs":[],"source":["page = pages[0]"]},{"cell_type":"code","execution_count":8,"id":"aadaa840-0f30-4ae3-b06b-7fe8f468d146","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["<class 'langchain.schema.document.Document'>\n"]}],"source":["print(type(page))"]},{"cell_type":"code","execution_count":9,"id":"85777ce2-42c7-4e11-b1ba-06fd6a0d8502","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["MachineLearning-Lecture01  \n","Instructor (Andrew Ng):  Okay. Good morning. Welcome to CS229, the machine \n","learning class. So what I wanna do today is ju st spend a little time going over the logistics \n","of the class, and then we'll start to  talk a bit about machine learning.  \n","By way of introduction, my name's  Andrew Ng and I'll be instru ctor for this class. And so \n","I personally work in machine learning, and I' ve worked on it for about 15 years now, and \n","I actually think that machine learning i\n"]}],"source":["print(page.page_content[0:500])"]},{"cell_type":"code","execution_count":10,"id":"8a1f8acd-f8c7-46af-a29f-df172067deba","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["{'source': 'docs/cs229_lectures/MachineLearning-Lecture01.pdf', 'page': 0}\n"]}],"source":["print(page.metadata)"]},{"cell_type":"markdown","id":"1e9cead7-a967-4a8f-8d3d-0f94f2ff129e","metadata":{},"source":["## 二、YouTube音频\n","\n","在第一部分的内容，我们学习了如何加载PDF文档。在这部分的内容，我们学习对于给定的 YouTube 视频链接\n","- 如何使用LangChain加载器将视频的音频下载到本地\n","- 然后使用OpenAIWhisperPaser解析器将音频转化为文本"]},{"cell_type":"markdown","id":"b4720268-ddab-4c18-9072-10aab8f0ac7c","metadata":{},"source":["### 2.1 安装相关包 "]},{"cell_type":"code","execution_count":11,"id":"37dbeb50-d6c5-4db0-88da-1ef9d3e47417","metadata":{},"outputs":[],"source":["!pip -q install yt_dlp\n","!pip -q install pydub"]},{"cell_type":"markdown","id":"a243b258-eae3-46b0-803f-cd897b31cf78","metadata":{},"source":["### 2.2 加载Youtube音频文档"]},{"cell_type":"code","execution_count":12,"id":"f25593f9-a6d2-4137-94cb-881141ca99fd","metadata":{},"outputs":[],"source":["from langchain.document_loaders.generic import GenericLoader\n","from langchain.document_loaders.parsers import OpenAIWhisperParser\n","from langchain.document_loaders.blob_loaders.youtube_audio import YoutubeAudioLoader"]},{"cell_type":"code","execution_count":2,"id":"5ca7b99a-ba4d-4989-aed6-be76acb405c0","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["[youtube] Extracting URL: https://www.youtube.com/watch?v=jGwO_UgTS7I\n","[youtube] jGwO_UgTS7I: Downloading webpage\n","[youtube] jGwO_UgTS7I: Downloading ios player API JSON\n","[youtube] jGwO_UgTS7I: Downloading android player API JSON\n","[youtube] jGwO_UgTS7I: Downloading m3u8 information\n","[info] jGwO_UgTS7I: Downloading 1 format(s): 140\n","[download] docs/youtube//Stanford CS229： Machine Learning Course, Lecture 1 - Andrew Ng (Autumn 2018).m4a has already been downloaded\n","[download] 100% of   69.76MiB\n","[ExtractAudio] Not converting audio docs/youtube//Stanford CS229： Machine Learning Course, Lecture 1 - Andrew Ng (Autumn 2018).m4a; file is already in target format m4a\n","Transcribing part 1!\n","Transcribing part 2!\n","Transcribing part 3!\n","Transcribing part 4!\n"]}],"source":["url=\"https://www.youtube.com/watch?v=jGwO_UgTS7I\"\n","save_dir=\"docs/youtube/\"\n","\n","# 创建一个 GenericLoader Class 实例\n","loader = GenericLoader(\n","    #将链接url中的Youtube视频的音频下载下来,存在本地路径save_dir\n","    YoutubeAudioLoader([url],save_dir), \n","    \n","    #使用OpenAIWhisperPaser解析器将音频转化为文本\n","    OpenAIWhisperParser()\n",")\n","\n","# 调用 GenericLoader Class 的函数 load对视频的音频文件进行加载\n","docs = loader.load()"]},{"cell_type":"markdown","id":"ffb4db5d-39b5-4cd7-82d9-824ed71fc116","metadata":{"tags":[]},"source":["### 2.3 探索加载的数据"]},{"cell_type":"markdown","id":"0fd91c34-ac19-4a09-8ca0-99262011d9ba","metadata":{},"source":["文档加载后储存在`docs`变量中:\n","- `docs`的变量类型为`List`\n","- 打印 `docs` 的长度可以看到一共包含多少页"]},{"cell_type":"code","execution_count":15,"id":"ddb89cee-32bd-4c5f-91f1-c46d1f0300da","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["<class 'list'>\n"]}],"source":["print(type(docs))"]},{"cell_type":"code","execution_count":16,"id":"2cea4ff3-8548-4158-9e55-a574de0fd29e","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["1\n"]}],"source":["print(len(docs))"]},{"cell_type":"markdown","id":"24952655-128e-4a7b-b8c0-e93156acbe1b","metadata":{},"source":["`docs`中的每一元素为一个文档，变量类型为`langchain.schema.document.Document`, 文档变量类型包含两个属性\n","- `page_content` 包含该文档的内容。\n","- `meta_data` 为文档相关的描述性数据。"]},{"cell_type":"code","execution_count":19,"id":"d89bf91d-d39b-4682-9c56-0cde449d6051","metadata":{},"outputs":[],"source":["doc = docs[0]"]},{"cell_type":"code","execution_count":20,"id":"e6df253f-ad9e-42d5-b6e1-47b7c0d2d564","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["<class 'langchain.schema.document.Document'>\n"]}],"source":["print(type(doc))"]},{"cell_type":"code","execution_count":13,"id":"80e4b798-875e-4f0e-ba16-5277f8ec1f62","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["Welcome to CS229 Machine Learning. Uh, some of you know that this is a class that's taught at Stanford for a long time. And this is often the class that, um, I most look forward to teaching each year because this is where we've helped, I think, several generations of Stanford students become experts in machine learning, got- built many of their products and services and startups that I'm sure, many of you or probably all of you are using, uh, uh, today. Um, so what I want to do today was spend s\n"]}],"source":["print(doc.page_content[0:500])"]},{"cell_type":"code","execution_count":14,"id":"7f363e33-6a4d-4b78-aa7d-1b8cf6b59567","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["{'source': 'docs/youtube/Stanford CS229： Machine Learning Course, Lecture 1 - Andrew Ng (Autumn 2018).m4a', 'chunk': 0}\n"]}],"source":["print(doc.metadata)"]},{"cell_type":"markdown","id":"5b7ddc7d-2d40-4811-8cb3-5e73344ebe24","metadata":{},"source":["## 三、网页文档\n","\n","在第二部分，我们对于给定的 YouTube 视频链接 (URL)，使用 LangChain 加载器将视频的音频下载到本地，然后使用 OpenAIWhisperPaser 解析器将音频转化为文本。\n","\n","本部分，对于给定网页文档链接(URLs)，我们学习如何对其进行加载。这里我们对Github上的网页文档进行加载，该文档格式为markdown。"]},{"cell_type":"markdown","id":"b28abf4d-4907-47f6-b54d-6d322a5794e6","metadata":{},"source":["### 3.1 加载网页文档"]},{"cell_type":"code","execution_count":21,"id":"1a68375f-44ae-4905-bf9c-1f01ec800481","metadata":{},"outputs":[],"source":["from langchain.document_loaders import WebBaseLoader\n","\n","\n","# 创建一个 WebBaseLoader Class 实例\n","url = \"https://github.com/basecamp/handbook/blob/master/37signals-is-you.md\"\n","header = {'User-Agent': 'python-requests/2.27.1', \n","          'Accept-Encoding': 'gzip, deflate, br', \n","          'Accept': '*/*',\n","          'Connection': 'keep-alive'}\n","loader = WebBaseLoader(web_path=url,header_template=header)\n","\n","# 调用 WebBaseLoader Class 的函数 load对文件进行加载\n","docs = loader.load()"]},{"cell_type":"markdown","id":"fc24f44a-01f5-49a3-9529-2f05c1053b2c","metadata":{"tags":[]},"source":["### 3.2 探索加载的数据"]},{"cell_type":"markdown","id":"f2f108b9-713b-4b98-b44d-4dfc3dcbcde2","metadata":{},"source":["文档加载后储存在`docs`变量中:\n","- `docs`的变量类型为`List`\n","- 打印 `docs` 的长度可以看到一共包含多少页"]},{"cell_type":"code","execution_count":22,"id":"8c8670fa-203b-4c35-9266-f976f50f0f5d","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["<class 'list'>\n"]}],"source":["print(type(docs))"]},{"cell_type":"code","execution_count":23,"id":"0e85a526-55e7-4186-8697-d16a891bcabc","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["1\n"]}],"source":["print(len(docs))"]},{"cell_type":"markdown","id":"b4397791-4d3c-4609-86be-3cda90a3f2fc","metadata":{},"source":["`docs`中的每一元素为一个文档，变量类型为`langchain.schema.document.Document`, 文档变量类型包含两个属性\n","- `page_content` 包含该文档的内容。\n","- `meta_data` 为文档相关的描述性数据。"]},{"cell_type":"code","execution_count":24,"id":"26423c51-6503-478c-b17d-bbe57049a04c","metadata":{},"outputs":[],"source":["doc = docs[0]"]},{"cell_type":"code","execution_count":25,"id":"a243638f-0c23-46b8-8854-13f1f1de6f0a","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["<class 'langchain.schema.document.Document'>\n"]}],"source":["print(type(doc))"]},{"cell_type":"code","execution_count":26,"id":"9f237541-79b7-4ae4-9e0e-27a28af99b7a","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["{\"payload\":{\"allShortcutsEnabled\":false,\"fileTree\":{\"\":{\"items\":[{\"name\":\"37signals-is-you.md\",\"path\":\"37signals-is-you.md\",\"contentType\":\"file\"},{\"name\":\"LICENSE.md\",\"path\":\"LICENSE.md\",\"contentType\":\"file\"},{\"name\":\"README.md\",\"path\":\"README.md\",\"contentType\":\"file\"},{\"name\":\"benefits-and-perks.md\",\"path\":\"benefits-and-perks.md\",\"contentType\":\"file\"},{\"name\":\"code-of-conduct.md\",\"path\":\"code-of-conduct.md\",\"contentType\":\"file\"},{\"name\":\"faq.md\",\"path\":\"faq.md\",\"contentType\":\"file\"},{\"name\":\"getting-started.md\",\"path\":\"getting-started.md\",\"contentType\":\"file\"},{\"name\":\"how-we-work.md\",\"path\":\"how-we-work.md\",\"contentType\":\"file\"},{\"name\":\"international-travel-guide.md\",\"path\":\"international-travel-guide.md\",\"contentType\":\"file\"},{\"name\":\"making-a-career.md\",\"path\":\"making-a-career.md\",\"contentType\":\"file\"},{\"name\":\"managing-work-devices.md\",\"path\":\"managing-work-devices.md\",\"contentType\":\"file\"},{\"name\":\"moonlighting.md\",\"path\":\"moonlighting.md\",\"contentType\":\"file\"},{\"name\":\"our-internal-systems.md\",\"path\":\"our-internal-systems.md\",\"contentType\":\"file\"},{\"name\":\"our-rituals.md\",\"path\":\"our-rituals.md\",\"contentType\":\"file\"},{\"name\":\"performance-plans.md\",\"path\":\"performance-plans.md\",\"contentType\":\"file\"},{\"name\":\"product-histories.md\",\"path\":\"product-histories.md\",\"contentType\":\"file\"},{\"name\":\"stateFMLA.md\",\"path\":\"stateFMLA.md\",\"contentType\":\"file\"},{\"name\":\"titles-for-data.md\",\"path\":\"titles-for-data.md\",\"contentType\":\"file\"},{\"name\":\"titles-for-designers.md\",\"path\":\"titles-for-designers.md\",\"contentType\":\"file\"},{\"name\":\"titles-for-ops.md\",\"path\":\"titles-for-ops.md\",\"contentType\":\"file\"},{\"name\":\"titles-for-programmers.md\",\"path\":\"titles-for-programmers.md\",\"contentType\":\"file\"},{\"name\":\"titles-for-support.md\",\"path\":\"titles-for-support.md\",\"contentType\":\"file\"},{\"name\":\"vocabulary.md\",\"path\":\"vocabulary.md\",\"contentType\":\"file\"},{\"name\":\"what-influenced-us.md\",\"path\":\"what-influenced-us.md\",\"contentType\":\"file\"},{\"name\":\"what-we-stand-for.md\",\"path\":\"what-we-stand-for.md\",\"contentType\":\"file\"},{\"name\":\"where-we-work.md\",\"path\":\"where-we-work.md\",\"contentType\":\"file\"}],\"totalCount\":26}},\"fileTreeProcessingTime\":3.936437,\"foldersToFetch\":[],\"reducedMotionEnabled\":null,\"repo\":{\"id\":90042196,\"defaultBranch\":\"master\",\"name\":\"handbook\",\"ownerLogin\":\"basecamp\",\"currentUserCanPush\":false,\"isFork\":false,\"isEmpty\":false,\"createdAt\":\"2017-05-02T14:23:23.000Z\",\"ownerAvatar\":\"https://avatars.githubusercontent.com/u/13131?v=4\",\"public\":true,\"private\":false,\"isOrgOwned\":true},\"refInfo\":{\"name\":\"master\",\"listCacheKey\":\"v0:1682672280.0\",\"canEdit\":false,\"refType\":\"branch\",\"currentOid\":\"1577f27c63aa8df61996924824afb8df6f1bf20e\"},\"path\":\"37signals-is-you.md\",\"currentUser\":null,\"blob\":{\"rawBlob\":null,\"colorizedLines\":null,\"stylingDirectives\":null,\"csv\":null,\"csvError\":null,\"dependabotInfo\":{\"showConfigurationBanner\":false,\"configFilePath\":null,\"networkDependabotPath\":\"/basecamp/handbook/network/updates\",\"dismissConfigurationNoticePath\":\"/settings/dismiss-notice/dependabot_configuration_notice\",\"configurationNoticeDismissed\":null,\"repoAlertsPath\":\"/basecamp/handbook/security/dependabot\",\"repoSecurityAndAnalysisPath\":\"/basecamp/handbook/settings/security_analysis\",\"repoOwnerIsOrg\":true,\"currentUserCanAdminRepo\":false},\"displayName\":\"37signals-is-you.md\",\"displayUrl\":\"https://github.com/basecamp/handbook/blob/master/37signals-is-you.md?raw=true\",\"headerInfo\":{\"blobSize\":\"2.19 KB\",\"deleteInfo\":{\"deletePath\":null,\"deleteTooltip\":\"You must be signed in to make or propose changes\"},\"editInfo\":{\"editTooltip\":\"You must be signed in to make or propose changes\"},\"ghDesktopPath\":\"https://desktop.github.com\",\"gitLfsPath\":null,\"onBranch\":true,\"shortPath\":\"e5ca0f0\",\"siteNavLoginPath\":\"/login?return_to=https%3A%2F%2Fgithub.com%2Fbasecamp%2Fhandbook%2Fblob%2Fmaster%2F37signals-is-you.md\",\"isCSV\":false,\"isRichtext\":true,\"toc\":[{\"level\":1,\"text\":\"37signals Is You\",\"anchor\":\"37signals-is-you\",\"htmlText\":\"37signals Is You\"}],\"lineInfo\":{\"truncatedLoc\":\"11\",\"truncatedSloc\":\"6\"},\"mode\":\"file\"},\"image\":false,\"isCodeownersFile\":null,\"isValidLegacyIssueTemplate\":false,\"issueTemplateHelpUrl\":\"https://docs.github.com/articles/about-issue-and-pull-request-templates\",\"issueTemplate\":null,\"discussionTemplate\":null,\"language\":\"Markdown\",\"large\":false,\"loggedIn\":false,\"newDiscussionPath\":\"/basecamp/handbook/discussions/new\",\"newIssuePath\":\"/basecamp/handbook/issues/new\",\"planSupportInfo\":{\"repoIsFork\":null,\"repoOwnedByCurrentUser\":null,\"requestFullPath\":\"/basecamp/handbook/blob/master/37signals-is-you.md\",\"showFreeOrgGatedFeatureMessage\":null,\"showPlanSupportBanner\":null,\"upgradeDataAttributes\":null,\"upgradePath\":null},\"publishBannersInfo\":{\"dismissActionNoticePath\":\"/settings/dismiss-notice/publish_action_from_dockerfile\",\"dismissStackNoticePath\":\"/settings/dismiss-notice/publish_stack_from_file\",\"releasePath\":\"/basecamp/handbook/releases/new?marketplace=true\",\"showPublishActionBanner\":false,\"showPublishStackBanner\":false},\"renderImageOrRaw\":false,\"richText\":\"37signals Is You\\nEveryone working at 37signals represents 37signals. When a customer gets a response from Merissa on support, Merissa is 37signals. When a customer reads a tweet by Eron that our systems are down, Eron is 37signals. In those situations, all the other stuff we do to cultivate our best image is secondary. What’s right in front of someone in a time of need is what they’ll remember.\\nThat’s what we mean when we say marketing is everyone’s responsibility, and that it pays to spend the time to recognize that. This means avoiding the bullshit of outage language and bending our policies, not just lending your ears. It means taking the time to get the writing right and consider how you’d feel if you were on the other side of the interaction.\\nThe vast majority of our customers come from word of mouth and much of that word comes from people in our audience. This is an audience we’ve been educating and entertaining for 20 years and counting, and your voice is part of us now, whether you like it or not! Tell us and our audience what you have to say!\\nThis goes for tools and techniques as much as it goes for prose. 37signals not only tries to out-teach the competition, but also out-share and out-collaborate. We’re prolific open source contributors through Ruby on Rails, Trix, Turbolinks, Stimulus, and many other projects. Extracting the common infrastructure that others could use as well is satisfying, important work, and we should continue to do that.\\nIt’s also worth mentioning that joining 37signals can be all-consuming. We’ve seen it happen. You dig 37signals, so you feel pressure to contribute, maybe overwhelmingly so. The people who work here are some of the best and brightest in our industry, so the self-imposed burden to be exceptional is real. But here’s the thing: stop it. Settle in. We’re glad you love this job because we all do too, but at the end of the day it’s a job. Do your best work, collaborate with your team, write, read, learn, and then turn off your computer and play with your dog. We’ll all be better for it.\\n\",\"renderedFileInfo\":null,\"tabSize\":8,\"topBannersInfo\":{\"overridingGlobalFundingFile\":false,\"globalPreferredFundingPath\":null,\"repoOwner\":\"basecamp\",\"repoName\":\"handbook\",\"showInvalidCitationWarning\":false,\"citationHelpUrl\":\"https://docs.github.com/en/github/creating-cloning-and-archiving-repositories/creating-a-repository-on-github/about-citation-files\",\"showDependabotConfigurationBanner\":false,\"actionsOnboardingTip\":null},\"truncated\":false,\"viewable\":true,\"workflowRedirectUrl\":null,\"symbols\":{\"timedOut\":false,\"notAnalyzed\":true,\"symbols\":[]}},\"csrf_tokens\":{\"/basecamp/handbook/branches\":{\"post\":\"o3HTNEDyuKtINffBkguVz-P3KUwBN04ZM_vvyoNKymcy66lDUtXVvEi7EvsbgFoz2d3qgU_earsuIftbbtKlcg\"}}},\"title\":\"handbook/37signals-is-you.md at master · basecamp/handbook\",\"locale\":\"en\"}\n"]}],"source":["print(doc.page_content)"]},{"cell_type":"markdown","id":"26538237-1fc2-4915-944a-1f68f3ae3759","metadata":{},"source":[" "]},{"cell_type":"markdown","id":"52025103-205e-4137-a116-89f37fcfece1","metadata":{},"source":["可以看到上面的文档内容包含许多冗余的信息。通常来讲，我们需要进行对这种数据进行进一步处理(Post Processing)。"]},{"cell_type":"code","execution_count":27,"id":"a7c5281f-aeed-4ee7-849b-bbf9fd3e35c7","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["37signals Is You\n","Everyone working at 37signals represents 37signals. When a customer gets a response from Merissa on support, Merissa is 37signals. When a customer reads a tweet by Eron that our systems are down, Eron is 37signals. In those situations, all the other stuff we do to cultivate our best image is secondary. What’s right in front of someone in a time of need is what they’ll remember.\n","That’s what we mean when we say marketing is everyone’s responsibility, and that it pays to spend the time to recognize that. This means avoiding the bullshit of outage language and bending our policies, not just lending your ears. It means taking the time to get the writing right and consider how you’d feel if you were on the other side of the interaction.\n","The vast majority of our customers come from word of mouth and much of that word comes from people in our audience. This is an audience we’ve been educating and entertaining for 20 years and counting, and your voice is part of us now, whether you like it or not! Tell us and our audience what you have to say!\n","This goes for tools and techniques as much as it goes for prose. 37signals not only tries to out-teach the competition, but also out-share and out-collaborate. We’re prolific open source contributors through Ruby on Rails, Trix, Turbolinks, Stimulus, and many other projects. Extracting the common infrastructure that others could use as well is satisfying, important work, and we should continue to do that.\n","It’s also worth mentioning that joining 37signals can be all-consuming. We’ve seen it happen. You dig 37signals, so you feel pressure to contribute, maybe overwhelmingly so. The people who work here are some of the best and brightest in our industry, so the self-imposed burden to be exceptional is real. But here’s the thing: stop it. Settle in. We’re glad you love this job because we all do too, but at the end of the day it’s a job. Do your best work, collaborate with your team, write, read, learn, and then turn off your computer and play with your dog. We’ll all be better for it.\n","\n"]}],"source":["import json\n","convert_to_json = json.loads(doc.page_content)\n","extracted_markdow = convert_to_json['payload']['blob']['richText']\n","print(extracted_markdow)"]},{"cell_type":"markdown","id":"d35e99b4-dd67-4940-bbeb-b2a59bf8cd3d","metadata":{},"source":["## 四、Notion文档\n","\n","- 点击[Notion示例文档](https://yolospace.notion.site/Blendle-s-Employee-Handbook-e31bff7da17346ee99f531087d8b133f)右上方复制按钮(Duplicate)，复制文档到你的Notion空间\n","- 点击右上方`⋯` 按钮，选择导出为Mardown&CSV。导出的文件将为zip文件夹\n","- 解压并保存mardown文档到本地路径`docs/Notion_DB/`"]},{"cell_type":"markdown","id":"f8cf2778-288c-4964-81e7-0ed881e31652","metadata":{},"source":["### 4.1 加载Notion Markdown文档"]},{"cell_type":"code","execution_count":28,"id":"081f5ee4-6b5d-45bf-a7e6-079abc560729","metadata":{},"outputs":[],"source":["from langchain.document_loaders import NotionDirectoryLoader\n","loader = NotionDirectoryLoader(\"docs/Notion_DB\")\n","docs = loader.load()"]},{"cell_type":"markdown","id":"88d5d094-a490-4c64-ab93-5c5cec0853aa","metadata":{"tags":[]},"source":["### 4.2 探索加载的数据"]},{"cell_type":"markdown","id":"a3ffe318-d22a-4687-b613-f679ad9ad616","metadata":{},"source":["文档加载后储存在`docs`变量中:\n","- `docs`的变量类型为`List`\n","- 打印 `docs` 的长度可以看到一共包含多少页"]},{"cell_type":"code","execution_count":29,"id":"106323dd-0d24-40d4-8302-ed2a35d13347","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["<class 'list'>\n"]}],"source":["print(type(docs))"]},{"cell_type":"code","execution_count":30,"id":"fa3ee0fe-7daa-4193-9ee1-4ee89cb3b843","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["1\n"]}],"source":["print(len(docs))"]},{"cell_type":"markdown","id":"b3cd3feb-d2c1-46b6-8b16-d4b2101c5632","metadata":{},"source":["`docs`中的每一元素为一个文档，变量类型为`langchain.schema.document.Document`, 文档变量类型包含两个属性\n","- `page_content` 包含该文档的内容。\n","- `meta_data` 为文档相关的描述性数据。"]},{"cell_type":"code","execution_count":31,"id":"5b220df6-fd0b-4b62-9da4-29962926fe87","metadata":{},"outputs":[],"source":["doc = docs[0]"]},{"cell_type":"code","execution_count":32,"id":"98ef8fbf-e820-41de-919d-c462a910f4f1","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["<class 'langchain.schema.document.Document'>\n"]}],"source":["print(type(doc))"]},{"cell_type":"code","execution_count":33,"id":"933da0f3-4d5f-4363-9142-050ecf226c1f","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["# Blendle's Employee Handbook\n","\n","This is a living document with everything we've learned working with people while running a startup. And, of course, we continue to learn. Therefore it's a document that will continue to change. \n","\n","**Everything related to working at Blendle and the people of Blendle, made public.**\n","\n","These are the lessons from three years of working with the people of Blendle. It contains everything from [how our leaders lead](https://www.notion.so/ecfb7e647136468a9a0a32f1771a8f52?pv\n"]}],"source":["print(doc.page_content[0:500])"]}],"metadata":{"kernelspec":{"display_name":"Python 3 (ipykernel)","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.9.12"}},"nbformat":4,"nbformat_minor":5}
diff --git "a/content/\345\277\205\344\277\256\345\233\233-LangChain Chat with Your Data/3.\346\226\207\346\241\243\345\210\206\345\211\262 Splitting.ipynb" "b/content/\345\277\205\344\277\256\345\233\233-LangChain Chat with Your Data/3.\346\226\207\346\241\243\345\210\206\345\211\262 Splitting.ipynb"
index 958c6310..d708f067 100644
--- "a/content/\345\277\205\344\277\256\345\233\233-LangChain Chat with Your Data/3.\346\226\207\346\241\243\345\210\206\345\211\262 Splitting.ipynb"	
+++ "b/content/\345\277\205\344\277\256\345\233\233-LangChain Chat with Your Data/3.\346\226\207\346\241\243\345\210\206\345\211\262 Splitting.ipynb"	
@@ -1 +1 @@
-{"cells":[{"cell_type":"markdown","metadata":{},"source":["# 第三章 文档分割\n","\n"," - [一、配置环境](#一、配置环境)\n"," - [二、文档分割重要性](#二、文档分割重要性)\n"," - [三、文档分割方式](#三、文档分割方式)\n","     - [3.1 基于字符的分割方式](#3.1-基于字符的分割方式)\n","     - [3.2 基于token的分割](#3.2-基于token的分割)\n","     - [3.3 分割Markdown文档](#3.3-分割Markdown文档)\n"]},{"cell_type":"markdown","metadata":{},"source":["我们刚刚讨论了如何将文档加载到标准格式中，现在我们要谈论如何将它们分割成较小的块。这听起来可能很简单，但其中有很多微妙之处会对后续工作产生重要影响。"]},{"cell_type":"markdown","metadata":{},"source":["## 一、配置环境"]},{"cell_type":"code","execution_count":1,"metadata":{},"outputs":[],"source":["import os\n","import openai\n","import sys\n","sys.path.append('../..')\n","\n","from dotenv import load_dotenv, find_dotenv\n","_ = load_dotenv(find_dotenv()) \n","\n","openai.api_key  = os.environ['OPENAI_API_KEY']"]},{"attachments":{"image.png":{"image/png":"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"}},"cell_type":"markdown","metadata":{},"source":["## 二、文档分割重要性\n","数据加载完毕后进行分割，分割完毕后放入向量数据库，进行向量化\n","\n","![image.png](attachment:image.png)\n","\n","如果直接按照单个字符进行分割，会丢失文本的语义信息，从而导致无法正确的回答问题。因此，需要尽量保持语义的完整性，分割出具有语义的块。"]},{"attachments":{"image-2.png":{"image/png":"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"}},"cell_type":"markdown","metadata":{},"source":["## 三、文档分割方式\n","Langchain中文本分割器都根据chunk_size(块大小)和chunk_overlap(块与块之间的重叠大小)进行分割。\n","\n","![image.png](attachment:image.png)\n","\n","* chunk_size指每个块包含的字符或Token（如单词、句子等）的数量\n","\n","* chunk_overlap指两个块之间共享的字符数量，用于保持上下文的连贯性，避免分割丢失上下文信息\n","\n","![image.png](attachment:image-2.png)\n","\n","Langchain提供多种文档分割方式，区别在怎么确定块与块之间的边界、块由哪些字符/token组成、以及如何测量块大小"]},{"attachments":{},"cell_type":"markdown","metadata":{},"source":["### 3.1 基于字符的分割方式\n","怎么分割块取决于我们的任务类型，当您拆分代码时，这一点非常明显。所以我们有一个语言文本分割器，它有一堆不同的分隔符，用于各种Python、Ruby、C 等不同语言的版本。在拆分这些文档时，考虑这些不同的语言的差异性。"]},{"cell_type":"code","execution_count":2,"metadata":{},"outputs":[],"source":["\n","''' \n","* RecursiveCharacterTextSplitter 递归字符文本分割\n","* CharacterTextSplitter 字符分割\n","RecursiveCharacterTextSplitter 将按不同的字符递归地分割(按照这个优先级[\"\\n\\n\", \"\\n\", \" \", \"\"])，这样就能尽量把所有和语义相关的内容尽可能长时间地保留在同一位置\n","RecursiveCharacterTextSplitter需要关注的是4个参数：\n","\n","* separators - 分隔符字符串数组\n","* chunk_size - 每个文档的字符数量限制\n","* chunk_overlap - 两份文档重叠区域的长度\n","* length_function - 长度计算函数\n","CharacterTextSplitter 字符分割\n","分隔符的参数是单个的字符串。这就会使得RecursiveCharacterTextSplitter比CharacterTextSplitter对文档切割得更加碎片化\n","'''\n","#导入文本分割器\n","from langchain.text_splitter import RecursiveCharacterTextSplitter, CharacterTextSplitter\n"]},{"cell_type":"code","execution_count":3,"metadata":{},"outputs":[],"source":["chunk_size = 26 #设置块大小\n","chunk_overlap = 4 #设置块重叠大小\n"]},{"cell_type":"code","execution_count":4,"metadata":{},"outputs":[],"source":["#初始化文本分割器\n","r_splitter = RecursiveCharacterTextSplitter(\n","    chunk_size=chunk_size,\n","    chunk_overlap=chunk_overlap\n",")\n","c_splitter = CharacterTextSplitter(\n","    chunk_size=chunk_size,\n","    chunk_overlap=chunk_overlap\n",")\n"]},{"cell_type":"code","execution_count":5,"metadata":{},"outputs":[{"data":{"text/plain":["['abcdefghijklmnopqrstuvwxyz', 'wxyzabcdefg']"]},"execution_count":5,"metadata":{},"output_type":"execute_result"}],"source":["#使用递归字符文本分割器\n","text2 = \"abcdefghijklmnopqrstuvwxyzabcdefg\"\n","r_splitter.split_text(text2)\n"]},{"cell_type":"code","execution_count":6,"metadata":{},"outputs":[{"data":{"text/plain":["['a b c d e f g h i j k l m', 'l m n o p q r s t u v w x', 'w x y z']"]},"execution_count":6,"metadata":{},"output_type":"execute_result"}],"source":["text3 = \"a b c d e f g h i j k l m n o p q r s t u v w x y z\"#测试文本\n","r_splitter.split_text(text3)\n"]},{"attachments":{},"cell_type":"markdown","metadata":{},"source":["第二块是从'wxyz'开始的，刚好是我们设定的块重叠大小"]},{"cell_type":"code","execution_count":7,"metadata":{},"outputs":[{"data":{"text/plain":["['a b c d e f g h i j k l m n o p q r s t u v w x y z']"]},"execution_count":7,"metadata":{},"output_type":"execute_result"}],"source":["#字符文本分割器\n","c_splitter.split_text(text3)\n"]},{"attachments":{},"cell_type":"markdown","metadata":{},"source":["可以看到字符分割器没有分割这个文本，因为字符文本分割器默认以换行符为分隔符，因此需要设置空格为分隔符。"]},{"cell_type":"code","execution_count":8,"metadata":{},"outputs":[{"data":{"text/plain":["['a b c d e f g h i j k l m', 'l m n o p q r s t u v w x', 'w x y z']"]},"execution_count":8,"metadata":{},"output_type":"execute_result"}],"source":["# 设置空格分隔符\n","c_splitter = CharacterTextSplitter(\n","    chunk_size=chunk_size,\n","    chunk_overlap=chunk_overlap,\n","    separator=' '\n",")\n","c_splitter.split_text(text3)\n"]},{"cell_type":"code","execution_count":9,"metadata":{},"outputs":[],"source":["# 递归分割长段落\n","some_text1 = \"\"\"When writing documents, writers will use document structure to group content. \\\n","This can convey to the reader, which idea's are related. For example, closely related ideas \\\n","are in sentances. Similar ideas are in paragraphs. Paragraphs form a document. \\n\\n  \\\n","Paragraphs are often delimited with a carriage return or two carriage returns. \\\n","Carriage returns are the \"backslash n\" you see embedded in this string. \\\n","Sentences have a period at the end, but also, have a space.\\\n","and words are separated by space.\"\"\"\n"]},{"cell_type":"code","execution_count":10,"metadata":{},"outputs":[{"data":{"text/plain":["496"]},"execution_count":10,"metadata":{},"output_type":"execute_result"}],"source":["len(some_text1)\n"]},{"cell_type":"code","execution_count":11,"metadata":{},"outputs":[],"source":["# 中文版\n","some_text2 = \"\"\"在编写文档时，作者将使用文档结构对内容进行分组。 \\\n","    这可以向读者传达哪些想法是相关的。 例如，密切相关的想法\\\n","    是在句子中。 类似的想法在段落中。 段落构成文档。 \\n\\n\\\n","    段落通常用一个或两个回车符分隔。 \\\n","    回车符是您在该字符串中看到的嵌入的“反斜杠 n”。 \\\n","    句子末尾有一个句号，但也有一个空格。\\\n","    并且单词之间用空格分隔\"\"\"\n"]},{"cell_type":"code","execution_count":12,"metadata":{},"outputs":[{"data":{"text/plain":["177"]},"execution_count":12,"metadata":{},"output_type":"execute_result"}],"source":["len(some_text2)\n"]},{"cell_type":"code","execution_count":13,"metadata":{},"outputs":[],"source":["''' \n","依次传入分隔符列表，分别是双换行符、单换行符、空格、空字符，\n","因此在分割文本时，首先会采用双分换行符进行分割，同时依次使用其他分隔符进行分割\n","'''\n","\n","c_splitter = CharacterTextSplitter(\n","    chunk_size=450,\n","    chunk_overlap=0,\n","    separator=' '\n",")\n","r_splitter = RecursiveCharacterTextSplitter(\n","    chunk_size=450,\n","    chunk_overlap=0,\n","    separators=[\"\\n\\n\", \"\\n\", \" \", \"\"]\n",")\n"]},{"cell_type":"code","execution_count":14,"metadata":{},"outputs":[{"data":{"text/plain":["[\"When writing documents, writers will use document structure to group content. This can convey to the reader, which idea's are related. For example, closely related ideas are in sentances. Similar ideas are in paragraphs. Paragraphs form a document.\",\n"," 'Paragraphs are often delimited with a carriage return or two carriage returns. Carriage returns are the \"backslash n\" you see embedded in this string. Sentences have a period at the end, but also, have a space.and words are separated by space.']"]},"execution_count":14,"metadata":{},"output_type":"execute_result"}],"source":["#分割结果\n","r_splitter.split_text(some_text1)\n"]},{"cell_type":"code","execution_count":15,"metadata":{},"outputs":[{"data":{"text/plain":["['在编写文档时，作者将使用文档结构对内容进行分组。     这可以向读者传达哪些想法是相关的。 例如，密切相关的想法    是在句子中。 类似的想法在段落中。 段落构成文档。 \\n\\n    段落通常用一个或两个回车符分隔。     回车符是您在该字符串中看到的嵌入的“反斜杠 n”。     句子末尾有一个句号，但也有一个空格。    并且单词之间用空格分隔']"]},"execution_count":15,"metadata":{},"output_type":"execute_result"}],"source":["r_splitter.split_text(some_text2)\n"]},{"cell_type":"code","execution_count":16,"metadata":{},"outputs":[{"data":{"text/plain":["[\"When writing documents, writers will use document structure to group content. This can convey to the reader, which idea's are related. For example,\",\n"," 'closely related ideas are in sentances. Similar ideas are in paragraphs. Paragraphs form a document.',\n"," 'Paragraphs are often delimited with a carriage return or two carriage returns. Carriage returns are the \"backslash n\" you see embedded in this',\n"," 'string. Sentences have a period at the end, but also, have a space.and words are separated by space.']"]},"execution_count":16,"metadata":{},"output_type":"execute_result"}],"source":["#如果需要按照句子进行分隔，则还要用正则表达式添加一个句号分隔符\n","r_splitter = RecursiveCharacterTextSplitter(\n","    chunk_size=150,\n","    chunk_overlap=0,\n","    separators=[\"\\n\\n\", \"\\n\", \"(?<=\\. )\", \" \", \"\"]\n",")\n","r_splitter.split_text(some_text1)\n"]},{"cell_type":"code","execution_count":17,"metadata":{},"outputs":[{"data":{"text/plain":["['在编写文档时，作者将使用文档结构对内容进行分组。     这可以向读者传达哪些想法是相关的。 例如，密切相关的想法    是在句子中。 类似的想法在段落中。 段落构成文档。',\n"," '段落通常用一个或两个回车符分隔。     回车符是您在该字符串中看到的嵌入的“反斜杠 n”。     句子末尾有一个句号，但也有一个空格。    并且单词之间用空格分隔']"]},"execution_count":17,"metadata":{},"output_type":"execute_result"}],"source":["r_splitter = RecursiveCharacterTextSplitter(\n","    chunk_size=150,\n","    chunk_overlap=0,\n","    separators=[\"\\n\\n\", \"\\n\", \"(?<=\\. )\", \" \", \"\"]\n",")\n","r_splitter.split_text(some_text2)\n"]},{"attachments":{},"cell_type":"markdown","metadata":{},"source":["这就是递归字符文本分割器名字中“递归”的含义，总的来说，我们更建议在通用文本中使用递归字符文本分割器\n"]},{"attachments":{},"cell_type":"markdown","metadata":{},"source":["### 3.2 基于token的分割\n","很多LLM的上下文窗口长度限制是按照Token来计数的。因此，以LLM的视角，按照Token对文本进行分隔，通常可以得到更好的结果。\n","通过一个实例理解基于字符分割和基于Token分割的区别"]},{"cell_type":"code","execution_count":18,"metadata":{},"outputs":[{"data":{"text/plain":["['foo', ' bar', ' b', 'az', 'zy', 'foo']"]},"execution_count":18,"metadata":{},"output_type":"execute_result"}],"source":["# 使用token分割器进行分割，\n","# 将块大小设为1，块重叠大小设为0，相当于将任意字符串分割成了单个Token组成的列\n","from langchain.text_splitter import TokenTextSplitter\n","text_splitter = TokenTextSplitter(chunk_size=1, chunk_overlap=0)\n","text1 = \"foo bar bazzyfoo\"\n","text_splitter.split_text(text1)\n"]},{"cell_type":"code","execution_count":19,"metadata":{},"outputs":[{"data":{"text/plain":["['test', ' base', 'ces', 'e']"]},"execution_count":19,"metadata":{},"output_type":"execute_result"}],"source":["text1 = \"test basecese\"\n","text_splitter.split_text(text1)\n"]},{"attachments":{},"cell_type":"markdown","metadata":{},"source":["可以看出token长度和字符长度不一样，token通常为4个字符"]},{"attachments":{},"cell_type":"markdown","metadata":{},"source":["### 3.3 分割Markdown文档\n","分块的目的是把具有上下文的文本放在一起，我们可以通过使用指定分隔符来进行分隔，但有些类型的文档（例如 Markdown）本身就具有可用于分割的结构（如标题）。\n","\n","Markdown标题文本分割器会根据标题或子标题来分割一个Markdown文档，并将标题作为元数据添加到每个块中\n"]},{"cell_type":"code","execution_count":20,"metadata":{},"outputs":[],"source":["# 定义一个Markdown文档\n","\n","from langchain.document_loaders import NotionDirectoryLoader#Notion加载器\n","from langchain.text_splitter import MarkdownHeaderTextSplitter#markdown分割器\n","\n","markdown_document = \"\"\"# Title\\n\\n \\\n","## Chapter 1\\n\\n \\\n","Hi this is Jim\\n\\n Hi this is Joe\\n\\n \\\n","### Section \\n\\n \\\n","Hi this is Lance \\n\\n \n","## Chapter 2\\n\\n \\\n","Hi this is Molly\"\"\"\n"]},{"cell_type":"code","execution_count":21,"metadata":{},"outputs":[],"source":["markdown_document = \"\"\"# Title\\n\\n \\\n","## 第一章\\n\\n \\\n","李白乘舟将欲行\\n\\n 忽然岸上踏歌声\\n\\n \\\n","### Section \\n\\n \\\n","桃花潭水深千尺 \\n\\n \n","## 第二章\\n\\n \\\n","不及汪伦送我情\"\"\"\n"]},{"cell_type":"code","execution_count":22,"metadata":{},"outputs":[],"source":["# 定义想要分割的标题列表和名称\n","headers_to_split_on = [\n","    (\"#\", \"Header 1\"),\n","    (\"##\", \"Header 2\"),\n","    (\"###\", \"Header 3\"),\n","]\n"]},{"cell_type":"code","execution_count":23,"metadata":{},"outputs":[{"data":{"text/plain":["Document(page_content='桃花潭水深千尺', metadata={'Header 1': 'Title', 'Header 2': '第一章', 'Header 3': 'Section'})"]},"execution_count":23,"metadata":{},"output_type":"execute_result"}],"source":["# 初始化Markdown标题文本分割器，分割Markdown文档\n","markdown_splitter = MarkdownHeaderTextSplitter(\n","    headers_to_split_on=headers_to_split_on\n",")\n","md_header_splits = markdown_splitter.split_text(markdown_document)\n","\n","md_header_splits[0]\n","# Document(page_content='Hi this is Jim  \\nHi this is Joe', metadata={'Header 1': 'Title', 'Header 2': 'Chapter 1'})\n","\n","md_header_splits[1]\n","# Document(page_content='Hi this is Lance', metadata={'Header 1': 'Title', 'Header 2': 'Chapter 1', 'Header 3': 'Section'})\n"]},{"cell_type":"code","execution_count":24,"metadata":{},"outputs":[{"data":{"text/plain":["Document(page_content='李白乘舟将欲行  \\n忽然岸上踏歌声', metadata={'Header 1': 'Title', 'Header 2': '第一章'})"]},"execution_count":24,"metadata":{},"output_type":"execute_result"}],"source":["markdown_splitter = MarkdownHeaderTextSplitter(\n","    headers_to_split_on=headers_to_split_on\n",")#分割文档\n","md_header_splits = markdown_splitter.split_text(markdown_document)\n","#第一个块\n","md_header_splits[0]\n","# Document(page_content='Hi this is Jim  \\nHi this is Joe', metadata={'Header 1': 'Title', 'Header 2': 'Chapter 1'})\n","\n","\n"]},{"cell_type":"code","execution_count":25,"metadata":{},"outputs":[{"data":{"text/plain":["Document(page_content='桃花潭水深千尺', metadata={'Header 1': 'Title', 'Header 2': '第一章', 'Header 3': 'Section'})"]},"execution_count":25,"metadata":{},"output_type":"execute_result"}],"source":["#第二个块\n","md_header_splits[1]\n"]},{"attachments":{},"cell_type":"markdown","metadata":{},"source":["可以看到，每个块都包含了页面内容和元数据，元数据中记录了该块所属的标题和子标题。\n","\n","我们已经了解了如何将长文档分割为语义相关的块，并且包含正确的元数据。下一步则是将这些分块后的数据移动到向量存储中，以便进行检索或生成"]},{"cell_type":"code","execution_count":26,"metadata":{},"outputs":[],"source":["#加载数据库的内容\n","loader = NotionDirectoryLoader(\"docs/Notion_DB\")\n","docs = loader.load()\n","txt = ' '.join([d.page_content for d in docs])#拼接文档\n"]},{"cell_type":"code","execution_count":27,"metadata":{},"outputs":[],"source":["headers_to_split_on = [\n","    (\"#\", \"Header 1\"),\n","    (\"##\", \"Header 2\"),\n","]\n","#加载文档分割器\n","markdown_splitter = MarkdownHeaderTextSplitter(\n","    headers_to_split_on=headers_to_split_on\n",")\n"]},{"cell_type":"code","execution_count":28,"metadata":{},"outputs":[],"source":["md_header_splits = markdown_splitter.split_text(txt)#分割文本内容\n"]},{"cell_type":"code","execution_count":29,"metadata":{},"outputs":[{"data":{"text/plain":["Document(page_content=\"Saying goodbye to Blendle (from a colleague) and to a colleague (from Blendle) is a very normal and natural thing. When done right, it can even be a beautiful thing.  \\nWe advise you to read the backdrop below first, but feel free to jump in right away with the 'Here's what you can do'-section :). General note: you do not have to do this alone, so please ask for advice and help!  \\n- **Backdrop**  \\nSaying goodbye to Blendle (from a colleague) and to a colleague (from Blendle) is a very normal and natural thing. When done right, it can even be a beautiful thing.  \\nSaying goodbye to people is also an important part of keeping your team on the right track. Firing can even be a part of your [Personnel Planning](https://www.notion.so/Hiring-451bbcfe8d9b49438c0633326bb7af0a?pvs=21). The most common situation will be when you think someone is no longer a good match with Blendle for whatever reason. This doesn't happen overnight, so try to spot situations where this is happening.  \\nTo make things clear: HR and Rick and Alex will help you with this, but we want this to be on your agenda. HR will take care of the process and paper- and legal work. Rick and Alex will help with the tough conversations. **The most important work happens months before that and that's where you come in.**  \\nWhy? You actually work with your people and see how they are really doing. You have 1on1's, off-sites, projects and feedback sessions together. All the information flows to you as a lead :).\", metadata={'Header 1': 'Firing'})"]},"execution_count":29,"metadata":{},"output_type":"execute_result"}],"source":["md_header_splits[0]#分割结果\n"]}],"metadata":{"kernelspec":{"display_name":"chatGPT","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.11.9"},"orig_nbformat":4,"vscode":{"interpreter":{"hash":"4d8dc73ac51fd938ce7dec941fbf542c26232b3529b0c2a6ebc607bfa3d5aa69"}}},"nbformat":4,"nbformat_minor":2}
+{"cells": [{"cell_type": "markdown", "metadata": {}, "source": ["# \u7b2c\u4e09\u7ae0 \u6587\u6863\u5206\u5272", "\n", " - [\u4e00\u3001\u914d\u7f6e\u73af\u5883](#\u4e00\u3001\u914d\u7f6e\u73af\u5883)\n", " - [\u4e8c\u3001\u6587\u6863\u5206\u5272\u91cd\u8981\u6027](#\u4e8c\u3001\u6587\u6863\u5206\u5272\u91cd\u8981\u6027)\n", " - [\u4e09\u3001\u6587\u6863\u5206\u5272\u65b9\u5f0f](#\u4e09\u3001\u6587\u6863\u5206\u5272\u65b9\u5f0f)\n", "     - [3.1 \u57fa\u4e8e\u5b57\u7b26\u7684\u5206\u5272\u65b9\u5f0f](#3.1-\u57fa\u4e8e\u5b57\u7b26\u7684\u5206\u5272\u65b9\u5f0f)\n", "     - [3.2 \u57fa\u4e8etoken\u7684\u5206\u5272](#3.2-\u57fa\u4e8etoken\u7684\u5206\u5272)\n", "     - [3.3 \u5206\u5272Markdown\u6587\u6863](#3.3-\u5206\u5272Markdown\u6587\u6863)\n"]}, {"cell_type": "markdown", "metadata": {}, "source": ["\u6211\u4eec\u521a\u521a\u8ba8\u8bba\u4e86\u5982\u4f55\u5c06\u6587\u6863\u52a0\u8f7d\u5230\u6807\u51c6\u683c\u5f0f\u4e2d\uff0c\u73b0\u5728\u6211\u4eec\u8981\u8c08\u8bba\u5982\u4f55\u5c06\u5b83\u4eec\u5206\u5272\u6210\u8f83\u5c0f\u7684\u5757\u3002\u8fd9\u542c\u8d77\u6765\u53ef\u80fd\u5f88\u7b80\u5355\uff0c\u4f46\u5176\u4e2d\u6709\u5f88\u591a\u5fae\u5999\u4e4b\u5904\u4f1a\u5bf9\u540e\u7eed\u5de5\u4f5c\u4ea7\u751f\u91cd\u8981\u5f71\u54cd\u3002"]}, {"cell_type": "markdown", "metadata": {}, "source": ["## \u4e00\u3001\u914d\u7f6e\u73af\u5883"]}, {"cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": ["import os\n", "import openai\n", "import sys\n", "sys.path.append('../..')\n", "\n", "from dotenv import load_dotenv, find_dotenv\n", "_ = load_dotenv(find_dotenv()) \n", "\n", "openai.api_key  = os.environ['OPENAI_API_KEY']"]}, {"attachments": {"image.png": {"image/png": 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"}}, 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"}, 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"}}, "cell_type": "markdown", "metadata": {}, "source": ["## \u4e09\u3001\u6587\u6863\u5206\u5272\u65b9\u5f0f\n", "Langchain\u4e2d\u6587\u672c\u5206\u5272\u5668\u90fd\u6839\u636echunk_size(\u5757\u5927\u5c0f)\u548cchunk_overlap(\u5757\u4e0e\u5757\u4e4b\u95f4\u7684\u91cd\u53e0\u5927\u5c0f)\u8fdb\u884c\u5206\u5272\u3002\n", "\n", "![image.png](attachment:image.png)\n", "\n", "* chunk_size\u6307\u6bcf\u4e2a\u5757\u5305\u542b\u7684\u5b57\u7b26\u6216Token\uff08\u5982\u5355\u8bcd\u3001\u53e5\u5b50\u7b49\uff09\u7684\u6570\u91cf\n", "\n", "* chunk_overlap\u6307\u4e24\u4e2a\u5757\u4e4b\u95f4\u5171\u4eab\u7684\u5b57\u7b26\u6570\u91cf\uff0c\u7528\u4e8e\u4fdd\u6301\u4e0a\u4e0b\u6587\u7684\u8fde\u8d2f\u6027\uff0c\u907f\u514d\u5206\u5272\u4e22\u5931\u4e0a\u4e0b\u6587\u4fe1\u606f\n", "\n", "![image.png](attachment:image-2.png)\n", "\n", "Langchain\u63d0\u4f9b\u591a\u79cd\u6587\u6863\u5206\u5272\u65b9\u5f0f\uff0c\u533a\u522b\u5728\u600e\u4e48\u786e\u5b9a\u5757\u4e0e\u5757\u4e4b\u95f4\u7684\u8fb9\u754c\u3001\u5757\u7531\u54ea\u4e9b\u5b57\u7b26/token\u7ec4\u6210\u3001\u4ee5\u53ca\u5982\u4f55\u6d4b\u91cf\u5757\u5927\u5c0f"]}, {"attachments": {}, "cell_type": "markdown", "metadata": {}, "source": ["### 3.1 \u57fa\u4e8e\u5b57\u7b26\u7684\u5206\u5272\u65b9\u5f0f\n", "\u600e\u4e48\u5206\u5272\u5757\u53d6\u51b3\u4e8e\u6211\u4eec\u7684\u4efb\u52a1\u7c7b\u578b\uff0c\u5f53\u60a8\u62c6\u5206\u4ee3\u7801\u65f6\uff0c\u8fd9\u4e00\u70b9\u975e\u5e38\u660e\u663e\u3002\u6240\u4ee5\u6211\u4eec\u6709\u4e00\u4e2a\u8bed\u8a00\u6587\u672c\u5206\u5272\u5668\uff0c\u5b83\u6709\u4e00\u5806\u4e0d\u540c\u7684\u5206\u9694\u7b26\uff0c\u7528\u4e8e\u5404\u79cdPython\u3001Ruby\u3001C \u7b49\u4e0d\u540c\u8bed\u8a00\u7684\u7248\u672c\u3002\u5728\u62c6\u5206\u8fd9\u4e9b\u6587\u6863\u65f6\uff0c\u8003\u8651\u8fd9\u4e9b\u4e0d\u540c\u7684\u8bed\u8a00\u7684\u5dee\u5f02\u6027\u3002"]}, {"cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": ["\n", "''' \n", "* RecursiveCharacterTextSplitter \u9012\u5f52\u5b57\u7b26\u6587\u672c\u5206\u5272\n", "* CharacterTextSplitter \u5b57\u7b26\u5206\u5272\n", "RecursiveCharacterTextSplitter \u5c06\u6309\u4e0d\u540c\u7684\u5b57\u7b26\u9012\u5f52\u5730\u5206\u5272(\u6309\u7167\u8fd9\u4e2a\u4f18\u5148\u7ea7[\"\\n\\n\", \"\\n\", \" \", \"\"])\uff0c\u8fd9\u6837\u5c31\u80fd\u5c3d\u91cf\u628a\u6240\u6709\u548c\u8bed\u4e49\u76f8\u5173\u7684\u5185\u5bb9\u5c3d\u53ef\u80fd\u957f\u65f6\u95f4\u5730\u4fdd\u7559\u5728\u540c\u4e00\u4f4d\u7f6e\n", "RecursiveCharacterTextSplitter\u9700\u8981\u5173\u6ce8\u7684\u662f4\u4e2a\u53c2\u6570\uff1a\n", "\n", "* separators - \u5206\u9694\u7b26\u5b57\u7b26\u4e32\u6570\u7ec4\n", "* chunk_size - \u6bcf\u4e2a\u6587\u6863\u7684\u5b57\u7b26\u6570\u91cf\u9650\u5236\n", "* chunk_overlap - \u4e24\u4efd\u6587\u6863\u91cd\u53e0\u533a\u57df\u7684\u957f\u5ea6\n", "* length_function - \u957f\u5ea6\u8ba1\u7b97\u51fd\u6570\n", "CharacterTextSplitter \u5b57\u7b26\u5206\u5272\n", "\u5206\u9694\u7b26\u7684\u53c2\u6570\u662f\u5355\u4e2a\u7684\u5b57\u7b26\u4e32\u3002\u8fd9\u5c31\u4f1a\u4f7f\u5f97RecursiveCharacterTextSplitter\u6bd4CharacterTextSplitter\u5bf9\u6587\u6863\u5207\u5272\u5f97\u66f4\u52a0\u788e\u7247\u5316\n", "'''\n", "#\u5bfc\u5165\u6587\u672c\u5206\u5272\u5668\n", "from langchain.text_splitter import RecursiveCharacterTextSplitter, CharacterTextSplitter\n"]}, {"cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [], "source": ["chunk_size = 26 #\u8bbe\u7f6e\u5757\u5927\u5c0f\n", "chunk_overlap = 4 #\u8bbe\u7f6e\u5757\u91cd\u53e0\u5927\u5c0f\n"]}, {"cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [], "source": ["#\u521d\u59cb\u5316\u6587\u672c\u5206\u5272\u5668\n", "r_splitter = RecursiveCharacterTextSplitter(\n", "    chunk_size=chunk_size,\n", "    chunk_overlap=chunk_overlap\n", ")\n", "c_splitter = CharacterTextSplitter(\n", "    chunk_size=chunk_size,\n", "    chunk_overlap=chunk_overlap\n", ")\n"]}, {"cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [{"data": {"text/plain": ["['abcdefghijklmnopqrstuvwxyz', 'wxyzabcdefg']"]}, "execution_count": 15, "metadata": {}, "output_type": "execute_result"}], "source": ["#\u4f7f\u7528\u9012\u5f52\u5b57\u7b26\u6587\u672c\u5206\u5272\u5668\n", "text2 = \"abcdefghijklmnopqrstuvwxyzabcdefg\"\n", "r_splitter.split_text(text2)\n"]}, {"cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [{"data": {"text/plain": ["['a b c d e f g h i j k l m', 'l m n o p q r s t u v w x', 'w x y z']"]}, "execution_count": 18, "metadata": {}, "output_type": "execute_result"}], "source": ["text3 = \"a b c d e f g h i j k l m n o p q r s t u v w x y z\"#\u6d4b\u8bd5\u6587\u672c\n", "r_splitter.split_text(text3)\n"]}, {"attachments": {}, "cell_type": "markdown", "metadata": {}, "source": ["\u7b2c\u4e8c\u5757\u662f\u4ece'wxyz'\u5f00\u59cb\u7684\uff0c\u521a\u597d\u662f\u6211\u4eec\u8bbe\u5b9a\u7684\u5757\u91cd\u53e0\u5927\u5c0f"]}, {"cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [{"data": {"text/plain": ["['a b c d e f g h i j k l m n o p q r s t u v w x y z']"]}, "execution_count": 19, "metadata": {}, "output_type": "execute_result"}], "source": ["#\u5b57\u7b26\u6587\u672c\u5206\u5272\u5668\n", "c_splitter.split_text(text3)\n"]}, {"attachments": {}, "cell_type": "markdown", "metadata": {}, "source": ["\u53ef\u4ee5\u770b\u5230\u5b57\u7b26\u5206\u5272\u5668\u6ca1\u6709\u5206\u5272\u8fd9\u4e2a\u6587\u672c\uff0c\u56e0\u4e3a\u5b57\u7b26\u6587\u672c\u5206\u5272\u5668\u9ed8\u8ba4\u4ee5\u6362\u884c\u7b26\u4e3a\u5206\u9694\u7b26\uff0c\u56e0\u6b64\u9700\u8981\u8bbe\u7f6e\u7a7a\u683c\u4e3a\u5206\u9694\u7b26\u3002"]}, {"cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [{"data": {"text/plain": ["['a b c d e f g h i j k l m', 'l m n o p q r s t u v w x', 'w x y z']"]}, "execution_count": 21, "metadata": {}, "output_type": "execute_result"}], "source": ["# \u8bbe\u7f6e\u7a7a\u683c\u5206\u9694\u7b26\n", "c_splitter = CharacterTextSplitter(\n", "    chunk_size=chunk_size,\n", "    chunk_overlap=chunk_overlap,\n", "    separator=' '\n", ")\n", "c_splitter.split_text(text3)\n"]}, {"cell_type": "code", "execution_count": 37, "metadata": {}, "outputs": [], "source": ["# \u9012\u5f52\u5206\u5272\u957f\u6bb5\u843d\n", "some_text1 = \"\"\"When writing documents, writers will use document structure to group content. \\\n", "This can convey to the reader, which idea's are related. For example, closely related ideas \\\n", "are in sentances. Similar ideas are in paragraphs. Paragraphs form a document. \\n\\n  \\\n", "Paragraphs are often delimited with a carriage return or two carriage returns. \\\n", "Carriage returns are the \"backslash n\" you see embedded in this string. \\\n", "Sentences have a period at the end, but also, have a space.\\\n", "and words are separated by space.\"\"\"\n"]}, {"cell_type": "code", "execution_count": 38, "metadata": {}, "outputs": [{"data": {"text/plain": ["496"]}, "execution_count": 38, "metadata": {}, "output_type": "execute_result"}], "source": ["len(some_text1)\n"]}, {"cell_type": "code", "execution_count": 39, "metadata": {}, "outputs": [], "source": ["# \u4e2d\u6587\u7248\n", "some_text2 = \"\"\"\u5728\u7f16\u5199\u6587\u6863\u65f6\uff0c\u4f5c\u8005\u5c06\u4f7f\u7528\u6587\u6863\u7ed3\u6784\u5bf9\u5185\u5bb9\u8fdb\u884c\u5206\u7ec4\u3002 \\\n", "    \u8fd9\u53ef\u4ee5\u5411\u8bfb\u8005\u4f20\u8fbe\u54ea\u4e9b\u60f3\u6cd5\u662f\u76f8\u5173\u7684\u3002 \u4f8b\u5982\uff0c\u5bc6\u5207\u76f8\u5173\u7684\u60f3\u6cd5\\\n", "    \u662f\u5728\u53e5\u5b50\u4e2d\u3002 \u7c7b\u4f3c\u7684\u60f3\u6cd5\u5728\u6bb5\u843d\u4e2d\u3002 \u6bb5\u843d\u6784\u6210\u6587\u6863\u3002 \\n\\n\\\n", "    \u6bb5\u843d\u901a\u5e38\u7528\u4e00\u4e2a\u6216\u4e24\u4e2a\u56de\u8f66\u7b26\u5206\u9694\u3002 \\\n", "    \u56de\u8f66\u7b26\u662f\u60a8\u5728\u8be5\u5b57\u7b26\u4e32\u4e2d\u770b\u5230\u7684\u5d4c\u5165\u7684\u201c\u53cd\u659c\u6760 n\u201d\u3002 \\\n", "    \u53e5\u5b50\u672b\u5c3e\u6709\u4e00\u4e2a\u53e5\u53f7\uff0c\u4f46\u4e5f\u6709\u4e00\u4e2a\u7a7a\u683c\u3002\\\n", "    \u5e76\u4e14\u5355\u8bcd\u4e4b\u95f4\u7528\u7a7a\u683c\u5206\u9694\"\"\"\n"]}, {"cell_type": "code", "execution_count": 40, "metadata": {}, "outputs": [{"data": {"text/plain": ["177"]}, "execution_count": 40, "metadata": {}, "output_type": "execute_result"}], "source": ["len(some_text2)\n"]}, {"cell_type": "code", "execution_count": 42, "metadata": {}, "outputs": [], "source": ["''' \n", "\u4f9d\u6b21\u4f20\u5165\u5206\u9694\u7b26\u5217\u8868\uff0c\u5206\u522b\u662f\u53cc\u6362\u884c\u7b26\u3001\u5355\u6362\u884c\u7b26\u3001\u7a7a\u683c\u3001\u7a7a\u5b57\u7b26\uff0c\n", "\u56e0\u6b64\u5728\u5206\u5272\u6587\u672c\u65f6\uff0c\u9996\u5148\u4f1a\u91c7\u7528\u53cc\u5206\u6362\u884c\u7b26\u8fdb\u884c\u5206\u5272\uff0c\u540c\u65f6\u4f9d\u6b21\u4f7f\u7528\u5176\u4ed6\u5206\u9694\u7b26\u8fdb\u884c\u5206\u5272\n", "'''\n", "\n", "c_splitter = CharacterTextSplitter(\n", "    chunk_size=450,\n", "    chunk_overlap=0,\n", "    separator=' '\n", ")\n", "r_splitter = RecursiveCharacterTextSplitter(\n", "    chunk_size=450,\n", "    chunk_overlap=0,\n", "    separators=[\"\\n\\n\", \"\\n\", \" \", \"\"]\n", ")\n"]}, {"cell_type": "code", "execution_count": 43, "metadata": {}, "outputs": [{"data": {"text/plain": ["[\"When writing documents, writers will use document structure to group content. This can convey to the reader, which idea's are related. For example, closely related ideas are in sentances. Similar ideas are in paragraphs. Paragraphs form a document.\",\n", " 'Paragraphs are often delimited with a carriage return or two carriage returns. Carriage returns are the \"backslash n\" you see embedded in this string. Sentences have a period at the end, but also, have a space.and words are separated by space.']"]}, "execution_count": 43, "metadata": {}, "output_type": "execute_result"}], "source": ["#\u5206\u5272\u7ed3\u679c\n", "r_splitter.split_text(some_text1)\n"]}, {"cell_type": "code", "execution_count": 44, "metadata": {}, "outputs": [{"data": {"text/plain": ["['\u5728\u7f16\u5199\u6587\u6863\u65f6\uff0c\u4f5c\u8005\u5c06\u4f7f\u7528\u6587\u6863\u7ed3\u6784\u5bf9\u5185\u5bb9\u8fdb\u884c\u5206\u7ec4\u3002     \u8fd9\u53ef\u4ee5\u5411\u8bfb\u8005\u4f20\u8fbe\u54ea\u4e9b\u60f3\u6cd5\u662f\u76f8\u5173\u7684\u3002 \u4f8b\u5982\uff0c\u5bc6\u5207\u76f8\u5173\u7684\u60f3\u6cd5    \u662f\u5728\u53e5\u5b50\u4e2d\u3002 \u7c7b\u4f3c\u7684\u60f3\u6cd5\u5728\u6bb5\u843d\u4e2d\u3002 \u6bb5\u843d\u6784\u6210\u6587\u6863\u3002 \\n\\n    \u6bb5\u843d\u901a\u5e38\u7528\u4e00\u4e2a\u6216\u4e24\u4e2a\u56de\u8f66\u7b26\u5206\u9694\u3002     \u56de\u8f66\u7b26\u662f\u60a8\u5728\u8be5\u5b57\u7b26\u4e32\u4e2d\u770b\u5230\u7684\u5d4c\u5165\u7684\u201c\u53cd\u659c\u6760 n\u201d\u3002     \u53e5\u5b50\u672b\u5c3e\u6709\u4e00\u4e2a\u53e5\u53f7\uff0c\u4f46\u4e5f\u6709\u4e00\u4e2a\u7a7a\u683c\u3002    \u5e76\u4e14\u5355\u8bcd\u4e4b\u95f4\u7528\u7a7a\u683c\u5206\u9694']"]}, "execution_count": 44, "metadata": {}, "output_type": "execute_result"}], "source": ["r_splitter.split_text(some_text2)\n"]}, {"cell_type": "code", "execution_count": 45, "metadata": {}, "outputs": [{"data": {"text/plain": ["[\"When writing documents, writers will use document structure to group content. This can convey to the reader, which idea's are related.\",\n", " 'For example, closely related ideas are in sentances. Similar ideas are in paragraphs. Paragraphs form a document.',\n", " 'Paragraphs are often delimited with a carriage return or two carriage returns.',\n", " 'Carriage returns are the \"backslash n\" you see embedded in this string.',\n", " 'Sentences have a period at the end, but also, have a space.and words are separated by space.']"]}, "execution_count": 45, "metadata": {}, "output_type": "execute_result"}], "source": ["#\u5982\u679c\u9700\u8981\u6309\u7167\u53e5\u5b50\u8fdb\u884c\u5206\u9694\uff0c\u5219\u8fd8\u8981\u7528\u6b63\u5219\u8868\u8fbe\u5f0f\u6dfb\u52a0\u4e00\u4e2a\u53e5\u53f7\u5206\u9694\u7b26\n", "r_splitter = RecursiveCharacterTextSplitter(\n", "    chunk_size=150,\n", "    chunk_overlap=0,\n", "    separators=[\"\\n\\n\", \"\\n\", \"(?<=\\. )\", \" \", \"\"]\n", ")\n", "r_splitter.split_text(some_text1)\n"]}, {"cell_type": "code", "execution_count": 47, "metadata": {}, "outputs": [{"data": {"text/plain": ["['\u5728\u7f16\u5199\u6587\u6863\u65f6\uff0c\u4f5c\u8005\u5c06\u4f7f\u7528\u6587\u6863\u7ed3\u6784\u5bf9\u5185\u5bb9\u8fdb\u884c\u5206\u7ec4\u3002     \u8fd9\u53ef\u4ee5\u5411\u8bfb\u8005\u4f20\u8fbe\u54ea\u4e9b\u60f3\u6cd5\u662f\u76f8\u5173\u7684\u3002 \u4f8b\u5982\uff0c\u5bc6\u5207\u76f8\u5173\u7684\u60f3\u6cd5    \u662f\u5728\u53e5\u5b50\u4e2d\u3002 \u7c7b\u4f3c\u7684\u60f3\u6cd5\u5728\u6bb5\u843d\u4e2d\u3002 \u6bb5\u843d\u6784\u6210\u6587\u6863\u3002',\n", " '\u6bb5\u843d\u901a\u5e38\u7528\u4e00\u4e2a\u6216\u4e24\u4e2a\u56de\u8f66\u7b26\u5206\u9694\u3002     \u56de\u8f66\u7b26\u662f\u60a8\u5728\u8be5\u5b57\u7b26\u4e32\u4e2d\u770b\u5230\u7684\u5d4c\u5165\u7684\u201c\u53cd\u659c\u6760 n\u201d\u3002     \u53e5\u5b50\u672b\u5c3e\u6709\u4e00\u4e2a\u53e5\u53f7\uff0c\u4f46\u4e5f\u6709\u4e00\u4e2a\u7a7a\u683c\u3002    \u5e76\u4e14\u5355\u8bcd\u4e4b\u95f4\u7528\u7a7a\u683c\u5206\u9694']"]}, "execution_count": 47, "metadata": {}, "output_type": "execute_result"}], "source": ["r_splitter = RecursiveCharacterTextSplitter(\n", "    chunk_size=150,\n", "    chunk_overlap=0,\n", "    separators=[\"\\n\\n\", \"\\n\", \"(?<=\\. )\", \" \", \"\"]\n", ")\n", "r_splitter.split_text(some_text2)\n"]}, {"attachments": {}, "cell_type": "markdown", "metadata": {}, "source": ["\u8fd9\u5c31\u662f\u9012\u5f52\u5b57\u7b26\u6587\u672c\u5206\u5272\u5668\u540d\u5b57\u4e2d\u201c\u9012\u5f52\u201d\u7684\u542b\u4e49\uff0c\u603b\u7684\u6765\u8bf4\uff0c\u6211\u4eec\u66f4\u5efa\u8bae\u5728\u901a\u7528\u6587\u672c\u4e2d\u4f7f\u7528\u9012\u5f52\u5b57\u7b26\u6587\u672c\u5206\u5272\u5668\n"]}, {"attachments": {}, "cell_type": "markdown", "metadata": {}, "source": ["### 3.2 \u57fa\u4e8etoken\u7684\u5206\u5272\n", "\u5f88\u591aLLM\u7684\u4e0a\u4e0b\u6587\u7a97\u53e3\u957f\u5ea6\u9650\u5236\u662f\u6309\u7167Token\u6765\u8ba1\u6570\u7684\u3002\u56e0\u6b64\uff0c\u4ee5LLM\u7684\u89c6\u89d2\uff0c\u6309\u7167Token\u5bf9\u6587\u672c\u8fdb\u884c\u5206\u9694\uff0c\u901a\u5e38\u53ef\u4ee5\u5f97\u5230\u66f4\u597d\u7684\u7ed3\u679c\u3002\n", "\u901a\u8fc7\u4e00\u4e2a\u5b9e\u4f8b\u7406\u89e3\u57fa\u4e8e\u5b57\u7b26\u5206\u5272\u548c\u57fa\u4e8eToken\u5206\u5272\u7684\u533a\u522b"]}, {"cell_type": "code", "execution_count": 50, "metadata": {}, "outputs": [{"data": {"text/plain": ["['foo', ' bar', ' b', 'az', 'zy', 'foo']"]}, "execution_count": 50, "metadata": {}, "output_type": "execute_result"}], "source": ["# \u4f7f\u7528token\u5206\u5272\u5668\u8fdb\u884c\u5206\u5272\uff0c\n", "# \u5c06\u5757\u5927\u5c0f\u8bbe\u4e3a1\uff0c\u5757\u91cd\u53e0\u5927\u5c0f\u8bbe\u4e3a0\uff0c\u76f8\u5f53\u4e8e\u5c06\u4efb\u610f\u5b57\u7b26\u4e32\u5206\u5272\u6210\u4e86\u5355\u4e2aToken\u7ec4\u6210\u7684\u5217\n", "from langchain.text_splitter import TokenTextSplitter\n", "text_splitter = TokenTextSplitter(chunk_size=1, chunk_overlap=0)\n", "text1 = \"foo bar bazzyfoo\"\n", "text_splitter.split_text(text1)\n"]}, {"cell_type": "code", "execution_count": 55, "metadata": {}, "outputs": [{"data": {"text/plain": ["['test', ' base', 'ces', 'e']"]}, "execution_count": 55, "metadata": {}, "output_type": "execute_result"}], "source": ["text1 = \"test basecese\"\n", "text_splitter.split_text(text1)\n"]}, {"attachments": {}, "cell_type": "markdown", "metadata": {}, "source": ["\u53ef\u4ee5\u770b\u51fatoken\u957f\u5ea6\u548c\u5b57\u7b26\u957f\u5ea6\u4e0d\u4e00\u6837\uff0ctoken\u901a\u5e38\u4e3a4\u4e2a\u5b57\u7b26"]}, {"attachments": {}, "cell_type": "markdown", "metadata": {}, "source": ["### 3.3 \u5206\u5272Markdown\u6587\u6863\n", "\u5206\u5757\u7684\u76ee\u7684\u662f\u628a\u5177\u6709\u4e0a\u4e0b\u6587\u7684\u6587\u672c\u653e\u5728\u4e00\u8d77\uff0c\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u4f7f\u7528\u6307\u5b9a\u5206\u9694\u7b26\u6765\u8fdb\u884c\u5206\u9694\uff0c\u4f46\u6709\u4e9b\u7c7b\u578b\u7684\u6587\u6863\uff08\u4f8b\u5982 Markdown\uff09\u672c\u8eab\u5c31\u5177\u6709\u53ef\u7528\u4e8e\u5206\u5272\u7684\u7ed3\u6784\uff08\u5982\u6807\u9898\uff09\u3002\n", "\n", "Markdown\u6807\u9898\u6587\u672c\u5206\u5272\u5668\u4f1a\u6839\u636e\u6807\u9898\u6216\u5b50\u6807\u9898\u6765\u5206\u5272\u4e00\u4e2aMarkdown\u6587\u6863\uff0c\u5e76\u5c06\u6807\u9898\u4f5c\u4e3a\u5143\u6570\u636e\u6dfb\u52a0\u5230\u6bcf\u4e2a\u5757\u4e2d\n"]}, {"cell_type": "code", "execution_count": 58, "metadata": {}, "outputs": [], "source": ["# \u5b9a\u4e49\u4e00\u4e2aMarkdown\u6587\u6863\n", "\n", "from langchain.document_loaders import NotionDirectoryLoader#Notion\u52a0\u8f7d\u5668\n", "from langchain.text_splitter import MarkdownHeaderTextSplitter#markdown\u5206\u5272\u5668\n", "\n", "markdown_document = \"\"\"# Title\\n\\n \\\n", "## Chapter 1\\n\\n \\\n", "Hi this is Jim\\n\\n Hi this is Joe\\n\\n \\\n", "### Section \\n\\n \\\n", "Hi this is Lance \\n\\n \n", "## Chapter 2\\n\\n \\\n", "Hi this is Molly\"\"\"\n"]}, {"cell_type": "code", "execution_count": 65, "metadata": {}, "outputs": [], "source": ["markdown_document = \"\"\"# Title\\n\\n \\\n", "## \u7b2c\u4e00\u7ae0\\n\\n \\\n", "\u674e\u767d\u4e58\u821f\u5c06\u6b32\u884c\\n\\n \u5ffd\u7136\u5cb8\u4e0a\u8e0f\u6b4c\u58f0\\n\\n \\\n", "### Section \\n\\n \\\n", "\u6843\u82b1\u6f6d\u6c34\u6df1\u5343\u5c3a \\n\\n \n", "## \u7b2c\u4e8c\u7ae0\\n\\n \\\n", "\u4e0d\u53ca\u6c6a\u4f26\u9001\u6211\u60c5\"\"\"\n"]}, {"cell_type": "code", "execution_count": 59, "metadata": {}, "outputs": [], "source": ["# \u5b9a\u4e49\u60f3\u8981\u5206\u5272\u7684\u6807\u9898\u5217\u8868\u548c\u540d\u79f0\n", "headers_to_split_on = [\n", "    (\"#\", \"Header 1\"),\n", "    (\"##\", \"Header 2\"),\n", "    (\"###\", \"Header 3\"),\n", "]\n"]}, {"cell_type": "code", "execution_count": 60, "metadata": {}, "outputs": [{"data": {"text/plain": ["Document(page_content='Hi this is Lance', metadata={'Header 1': 'Title', 'Header 2': 'Chapter 1', 'Header 3': 'Section'})"]}, "execution_count": 60, "metadata": {}, "output_type": "execute_result"}], "source": ["# \u521d\u59cb\u5316Markdown\u6807\u9898\u6587\u672c\u5206\u5272\u5668\uff0c\u5206\u5272Markdown\u6587\u6863\n", "markdown_splitter = MarkdownHeaderTextSplitter(\n", "    headers_to_split_on=headers_to_split_on\n", ")\n", "md_header_splits = markdown_splitter.split_text(markdown_document)\n", "\n", "md_header_splits[0]\n", "# Document(page_content='Hi this is Jim  \\nHi this is Joe', metadata={'Header 1': 'Title', 'Header 2': 'Chapter 1'})\n", "\n", "md_header_splits[1]\n", "# Document(page_content='Hi this is Lance', metadata={'Header 1': 'Title', 'Header 2': 'Chapter 1', 'Header 3': 'Section'})\n"]}, {"cell_type": "code", "execution_count": 68, "metadata": {}, "outputs": [{"data": {"text/plain": ["Document(page_content='\u674e\u767d\u4e58\u821f\u5c06\u6b32\u884c  \\n\u5ffd\u7136\u5cb8\u4e0a\u8e0f\u6b4c\u58f0  \\n### Section  \\n\u6843\u82b1\u6f6d\u6c34\u6df1\u5343\u5c3a', metadata={'Header 1': 'Title', 'Header 2': '\u7b2c\u4e00\u7ae0'})"]}, "execution_count": 68, "metadata": {}, "output_type": "execute_result"}], "source": ["markdown_splitter = MarkdownHeaderTextSplitter(\n", "    headers_to_split_on=headers_to_split_on\n", ")#\u5206\u5272\u6587\u6863\n", "md_header_splits = markdown_splitter.split_text(markdown_document)\n", "#\u7b2c\u4e00\u4e2a\u5757\n", "md_header_splits[0]\n", "# Document(page_content='Hi this is Jim  \\nHi this is Joe', metadata={'Header 1': 'Title', 'Header 2': 'Chapter 1'})\n", "\n", "\n"]}, {"cell_type": "code", "execution_count": 71, "metadata": {}, "outputs": [{"data": {"text/plain": ["Document(page_content='\u4e0d\u53ca\u6c6a\u4f26\u9001\u6211\u60c5', metadata={'Header 1': 'Title', 'Header 2': '\u7b2c\u4e8c\u7ae0'})"]}, "execution_count": 71, "metadata": {}, "output_type": "execute_result"}], "source": ["#\u7b2c\u4e8c\u4e2a\u5757\n", "md_header_splits[1]\n"]}, {"attachments": {}, "cell_type": "markdown", "metadata": {}, "source": ["\u53ef\u4ee5\u770b\u5230\uff0c\u6bcf\u4e2a\u5757\u90fd\u5305\u542b\u4e86\u9875\u9762\u5185\u5bb9\u548c\u5143\u6570\u636e\uff0c\u5143\u6570\u636e\u4e2d\u8bb0\u5f55\u4e86\u8be5\u5757\u6240\u5c5e\u7684\u6807\u9898\u548c\u5b50\u6807\u9898\u3002\n", "\n", "\u6211\u4eec\u5df2\u7ecf\u4e86\u89e3\u4e86\u5982\u4f55\u5c06\u957f\u6587\u6863\u5206\u5272\u4e3a\u8bed\u4e49\u76f8\u5173\u7684\u5757\uff0c\u5e76\u4e14\u5305\u542b\u6b63\u786e\u7684\u5143\u6570\u636e\u3002\u4e0b\u4e00\u6b65\u5219\u662f\u5c06\u8fd9\u4e9b\u5206\u5757\u540e\u7684\u6570\u636e\u79fb\u52a8\u5230\u5411\u91cf\u5b58\u50a8\u4e2d\uff0c\u4ee5\u4fbf\u8fdb\u884c\u68c0\u7d22\u6216\u751f\u6210"]}, {"cell_type": "code", "execution_count": 72, "metadata": {}, "outputs": [], "source": ["#\u52a0\u8f7d\u6570\u636e\u5e93\u7684\u5185\u5bb9\n", "loader = NotionDirectoryLoader(\"docs/Notion_DB\")\n", "docs = loader.load()\n", "txt = ' '.join([d.page_content for d in docs])#\u62fc\u63a5\u6587\u6863\n"]}, {"cell_type": "code", "execution_count": 73, "metadata": {}, "outputs": [], "source": ["headers_to_split_on = [\n", "    (\"#\", \"Header 1\"),\n", "    (\"##\", \"Header 2\"),\n", "]\n", "#\u52a0\u8f7d\u6587\u6863\u5206\u5272\u5668\n", "markdown_splitter = MarkdownHeaderTextSplitter(\n", "    headers_to_split_on=headers_to_split_on\n", ")\n"]}, {"cell_type": "code", "execution_count": 74, "metadata": {}, "outputs": [], "source": ["md_header_splits = markdown_splitter.split_text(txt)#\u5206\u5272\u6587\u672c\u5185\u5bb9\n"]}, {"cell_type": "code", "execution_count": 75, "metadata": {}, "outputs": [{"data": {"text/plain": ["Document(page_content=\"Saying goodbye to Blendle (from a colleague) and to a colleague (from Blendle) is a very normal and natural thing. When done right, it can even be a beautiful thing.  \\nWe advise you to read the backdrop below first, but feel free to jump in right away with the 'Here's what you can do'-section :). General note: you do not have to do this alone, so please ask for advice and help!  \\n- **Backdrop**  \\nSaying goodbye to Blendle (from a colleague) and to a colleague (from Blendle) is a very normal and natural thing. When done right, it can even be a beautiful thing.  \\nSaying goodbye to people is also an important part of keeping your team on the right track. Firing can even be a part of your [Personnel Planning](https://www.notion.so/Hiring-451bbcfe8d9b49438c0633326bb7af0a?pvs=21). The most common situation will be when you think someone is no longer a good match with Blendle for whatever reason. This doesn't happen overnight, so try to spot situations where this is happening.  \\nTo make things clear: HR and Rick and Alex will help you with this, but we want this to be on your agenda. HR will take care of the process and paper- and legal work. Rick and Alex will help with the tough conversations. **The most important work happens months before that and that's where you come in.**  \\nWhy? You actually work with your people and see how they are really doing. You have 1on1's, off-sites, projects and feedback sessions together. All the information flows to you as a lead :).\", metadata={'Header 1': 'Firing'})"]}, "execution_count": 75, "metadata": {}, "output_type": "execute_result"}], "source": ["md_header_splits[0]#\u5206\u5272\u7ed3\u679c\n"]}], "metadata": {"kernelspec": {"display_name": "chatGPT", "language": "python", "name": "python3"}, "language_info": {"codemirror_mode": {"name": "ipython", "version": 3}, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.16"}, "orig_nbformat": 4, "vscode": {"interpreter": {"hash": "4d8dc73ac51fd938ce7dec941fbf542c26232b3529b0c2a6ebc607bfa3d5aa69"}}}, "nbformat": 4, "nbformat_minor": 2}
\ No newline at end of file
diff --git "a/content/\345\277\205\344\277\256\345\233\233-LangChain Chat with Your Data/4.\345\220\221\351\207\217\346\225\260\346\215\256\345\272\223\344\270\216\350\257\215\345\220\221\351\207\217 Vectorstores and Embeddings.ipynb" "b/content/\345\277\205\344\277\256\345\233\233-LangChain Chat with Your Data/4.\345\220\221\351\207\217\346\225\260\346\215\256\345\272\223\344\270\216\350\257\215\345\220\221\351\207\217 Vectorstores and Embeddings.ipynb"
index 50957a82..dcae806e 100644
--- "a/content/\345\277\205\344\277\256\345\233\233-LangChain Chat with Your Data/4.\345\220\221\351\207\217\346\225\260\346\215\256\345\272\223\344\270\216\350\257\215\345\220\221\351\207\217 Vectorstores and Embeddings.ipynb"	
+++ "b/content/\345\277\205\344\277\256\345\233\233-LangChain Chat with Your Data/4.\345\220\221\351\207\217\346\225\260\346\215\256\345\272\223\344\270\216\350\257\215\345\220\221\351\207\217 Vectorstores and Embeddings.ipynb"	
@@ -1 +1 @@
-{"cells":[{"cell_type":"markdown","id":"0d647f70","metadata":{},"source":["# 第四章 向量数据库与词向量(Vectorstores and Embeddings)\n","\n"," - [一、环境配置](#一、环境配置)\n"," - [二、读取文档](#二、读取文档)\n"," - [三、Embeddings](#三、Embeddings)\n"," - [四、Vectorstores](#四、Vectorstores)\n","     - [4.1 初始化Chroma](#4.1-初始化Chroma)\n","     - [4.2 相似性搜索(Similarity Search)](#4.2-相似性搜索(Similarity-Search))\n"," - [五、失败的情况(Failure modes)](#五、失败的情况(Failure-modes))\n"]},{"cell_type":"markdown","id":"ea9da9ec","metadata":{},"source":["回顾一下检索增强生成（RAG）的整体工作流程："]},{"attachments":{"overview.jpeg":{"image/jpeg":"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FFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAV+Ev/BUH/gjz4a/amF18bv2d4bbRPiHkyXtscQ2msZ6lzwsdxnkS9H6SckOv7tUUAf5onivwT+0P+yL8UI7LxRZax4E8Vaa4khc77WdcYIeKRSA6nj5kYqfU1+knwZ/4Lkfth/DmGPTfiAumeN7RF27r6H7PdcdMS2+xT7l42J9c81/aJ8W/gf8ACD48+Gj4P+M3hvT/ABLp2Syw38Cy+Wxx80bEbo24+8hB96/H34uf8G/H7F/jvUn1b4eX+ueC2ckm2tLhbu1GfRblXlH/AH9xjtWFbDUqqtUimXCpKPws/PPTf+DiLVoodur/AAlhnk/vQ62Yl/JrOT+daP8AxET/APVHv/Lg/wDvfXp+sf8ABtXoU9xu0D4wz20X9240JZ2/76W9iH6Vkf8AENL/ANVq/wDLc/8AvjXH/Y+D/wCff4v/ADNfrVXv+Rw//ERP/wBUe/8ALg/+99H/ABET/wDVHv8Ay4P/AL313H/ENL/1Wr/y3P8A740f8Q0v/Vav/Lc/++NH9j4P/n3+L/zD61V7/kcP/wARE/8A1R7/AMuD/wC99H/ERP8A9Ue/8uD/AO99dx/xDS/9Vq/8tz/740f8Q0v/AFWr/wAtz/740f2Pg/8An3+L/wAw+tVe/wCRw/8AxET/APVHv/Lg/wDvfR/xET/9Ue/8uD/7313H/ENL/wBVq/8ALc/++NH/ABDS/wDVav8Ay3P/AL40f2Pg/wDn3+L/AMw+tVe/5HD/APERP/1R7/y4P/vfR/xET/8AVHv/AC4P/vfXcf8AENL/ANVq/wDLc/8AvjR/xDS/9Vq/8tz/AO+NH9j4P/n3+L/zD61V7/kcP/xET/8AVHv/AC4P/vfR/wARE/8A1R7/AMuD/wC99dx/xDS/9Vq/8tz/AO+NH/ENL/1Wr/y3P/vjR/Y+D/59/i/8w+tVe/5HD/8AERP/ANUe/wDLg/8AvfR/xET/APVHv/Lg/wDvfXcf8Q0v/Vav/Lc/++NH/ENL/wBVq/8ALc/++NH9j4P/AJ9/i/8AMPrVXv8AkcP/AMRE/wD1R7/y4P8A730f8RE//VHv/Lg/+99dx/xDS/8AVav/AC3P/vjR/wAQ0v8A1Wr/AMtz/wC+NH9j4P8A59/i/wDMPrVXv+Rw/wDxET/9Ue/8uD/730f8RE//AFR7/wAuD/7313H/ABDS/wDVav8Ay3P/AL40f8Q0v/Vav/Lc/wDvjR/Y+D/59/i/8w+tVe/5Hm2pf8HEWrSw7dI+EsMEn96bWzKv5LZx/wA6+SfjN/wXI/bD+I0Mmm/D9dM8EWjrt3WMP2i6565luN6j2KRqR655r9FtH/4Nq9CguN2v/GGe5i/u2+hLA3/fTXso/Svqz4R/8G/H7F/gTUk1b4h3+ueNGQgi2u7hbS1OPVbZUlP/AH9xjtVwyvCwd1TXzu/zuJ4mo95H8jPhTwT+0P8AtdfFCSy8L2WseO/FWpOZJnG+6nbOSXlkYkIo5+Z2Cj1Ff1w/8Evv+CPPhr9lkWvxu/aIhttb+IeRJZWwxNaaPjoUPKyXGeTL0TpHyC7fsP8ACT4H/CD4DeGh4P8Agz4b0/w1p2QzQ2ECxeYwz80jAbpG5+85J969TrvSSVkYBRRRTAKKKKACiiigAooooAKKKKACiiigAooooAK/n7/b/wD+CGngD496vqfxf/Zlu4PCfiq9Z7m60uZcaXeykZJTYM28jtySAyEnJVSS1f0CUUAf5qfxi/Z7/aM/ZL8bppXxW0DU/CeqW0pNrdENHHIyE/Pb3CHY444aNzX0j8LP+Cp/7ZPwyaOC68Qx+JrRCP3GtQi4J+sqmOc/jIa/vy8aeBvBfxH8O3HhD4gaTZ63pV2u2a0voEuIHHTlHBU9fSvyr+K//BDf/gn58TDJcaPoF/4QuZAcy6JfOi59RFcCeIfRUApqTWxMop7o/CTRf+C5nxEgx/wkXgDTrr1+zXktv/6Ektdp/wAP2/8Aqln/AJXP/uKvtDxH/wAG3Hwmut3/AAiXxP1ex/u/bLCG6x9dkkGa87/4hpf+q1f+W5/98av2su5n7Cn2PnP/AIft/wDVLP8Ayuf/AHFR/wAP2/8Aqln/AJXP/uKvoz/iGl/6rV/5bn/3xo/4hpf+q1f+W5/98aPaz7h9Xp9j5z/4ft/9Us/8rn/3FR/w/b/6pZ/5XP8A7ir6M/4hpf8AqtX/AJbn/wB8aP8AiGl/6rV/5bn/AN8aPaz7h9Xp9j5z/wCH7f8A1Sz/AMrn/wBxUf8AD9v/AKpZ/wCVz/7ir6M/4hpf+q1f+W5/98aP+IaX/qtX/luf/fGj2s+4fV6fY+c/+H7f/VLP/K5/9xUf8P2/+qWf+Vz/AO4q+jP+IaX/AKrV/wCW5/8AfGj/AIhpf+q1f+W5/wDfGj2s+4fV6fY+c/8Ah+3/ANUs/wDK5/8AcVH/AA/b/wCqWf8Alc/+4q+jP+IaX/qtX/luf/fGj/iGl/6rV/5bn/3xo9rPuH1en2PnP/h+3/1Sz/yuf/cVH/D9v/qln/lc/wDuKvoz/iGl/wCq1f8Aluf/AHxo/wCIaX/qtX/luf8A3xo9rPuH1en2PnP/AIft/wDVLP8Ayuf/AHFR/wAP2/8Aqln/AJXP/uKvoz/iGl/6rV/5bn/3xo/4hpf+q1f+W5/98aPaz7h9Xp9j5z/4ft/9Us/8rn/3FR/w/b/6pZ/5XP8A7ir6M/4hpf8AqtX/AJbn/wB8aP8AiGl/6rV/5bn/AN8aPaz7h9Xp9j5z/wCH7f8A1Sz/AMrn/wBxUf8AD9v/AKpZ/wCVz/7ir6M/4hpf+q1f+W5/98aP+IaX/qtX/luf/fGj2s+4fV6fY+c/+H7f/VLP/K5/9xUf8P2/+qWf+Vz/AO4q+jP+IaX/AKrV/wCW5/8AfGj/AIhpf+q1f+W5/wDfGj2s+4fV6fY+c/8Ah+3/ANUs/wDK5/8AcVH/AA/b/wCqWf8Alc/+4q+jP+IaX/qtX/luf/fGj/iGl/6rV/5bn/3xo9rPuH1en2PmXUP+C62pyQ7dK+GMUMn96XWDKv5C0T+deIeOP+C1n7SOvWL2XgzRNF0Fn/5b+XJdTL/u+Y4j/NDX6OaX/wAG1Wjw3G7W/jFNcRf3YNBWFv8Avpr2QfpX0P4A/wCDdv8AZI8P3iXvjzxN4k8QhMfuFlgs4W9d2yJpPykFHtJdxqhBdD+Uj4q/tJftC/tDXUVl8UPE2o68HlBhsy22DzGOBsgiCxhieBhM+lfo7+xf/wAEUv2nP2lrq28UfFK2l+HnhJirtcajCRf3KHBxBattYZU8SS7V7jd0r+uD4B/sH/si/sxzrqHwX8C6dpV+qhRfyK13ecek9w0ki57hWAPpX1xWbdzRJLY+bv2Wf2UPgx+x58MIfhV8FtONpaBzNdXMxEl3eTnrLPJgbmxwAAFUcKAK+kaKKBhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXJeOvAfgv4neEb/wF8Q9LttZ0bU4jDdWd3GJYZUPYq3HB5B6ggEYIBrraKAP5PP26/wDggV4h0W4uviN+xJIdSsmJkl8M3swW4hGMn7LPIQJF9I5GDjszniv58Nb8O/HP9mf4gfY9etNY8EeJLBjgSrLY3K7T1U/KSpI6glT7iv8ATSrzL4qfBj4S/HDw4fCXxg8N6d4l04nIg1C3SdUbj5kLAlG4HKkH3oA/hG+H/wDwVh/bA8ErFb6vqVj4kgiwNup2i7ivu8Bhcn3Yk+ua+odM/wCC3XjWJV/tn4f2M57+TfSQ5+m6KTH61+6fxV/4ISfsBfEZpbnw7pWq+DriTJ3aPfsU3f8AXO6FwgHqFC+2K+Pte/4NuPhLcbv+EY+J+r2fp9qsIbnH12PDmt44mqtpDuz4VH/BcU45+GHP/Ya/+4qX/h+N/wBUv/8AK1/9xV9St/wbSruO3404HbPhzP8A7kaT/iGl/wCq1f8Aluf/AHxqvrlb+b8v8guz5b/4fjf9Uv8A/K1/9xUf8Pxv+qX/APla/wDuKvqT/iGl/wCq1f8Aluf/AHxo/wCIaX/qtX/luf8A3xo+uVv5vy/yC7Plv/h+N/1S/wD8rX/3FR/w/G/6pf8A+Vr/AO4q+pP+IaX/AKrV/wCW5/8AfGj/AIhpf+q1f+W5/wDfGj65W/m/L/ILs+W/+H43/VL/APytf/cVH/D8b/ql/wD5Wv8A7ir6k/4hpf8AqtX/AJbn/wB8aP8AiGl/6rV/5bn/AN8aPrlb+b8v8guz5b/4fjf9Uv8A/K1/9xUf8Pxv+qX/APla/wDuKvqT/iGl/wCq1f8Aluf/AHxo/wCIaX/qtX/luf8A3xo+uVv5vy/yC7Plv/h+N/1S/wD8rX/3FR/w/G/6pf8A+Vr/AO4q+pP+IaX/AKrV/wCW5/8AfGj/AIhpf+q1f+W5/wDfGj65W/m/L/ILs+W/+H43/VL/APytf/cVH/D8b/ql/wD5Wv8A7ir6k/4hpf8AqtX/AJbn/wB8aP8AiGl/6rV/5bn/AN8aPrlb+b8v8guz5b/4fjf9Uv8A/K1/9xUf8Pxv+qX/APla/wDuKvqT/iGl/wCq1f8Aluf/AHxo/wCIaX/qtX/luf8A3xo+uVv5vy/yC7Plv/h+N/1S/wD8rX/3FR/w/G/6pf8A+Vr/AO4q+pP+IaX/AKrV/wCW5/8AfGj/AIhpf+q1f+W5/wDfGj65W/m/L/ILs+W/+H43/VL/APytf/cVH/D8b/ql/wD5Wv8A7ir6k/4hpf8AqtX/AJbn/wB8aP8AiGl/6rV/5bn/AN8aPrlb+b8v8guz5b/4fjf9Uv8A/K1/9xUf8Pxv+qX/APla/wDuKvqT/iGl/wCq1f8Aluf/AHxo/wCIaX/qtX/luf8A3xo+uVv5vy/yC7Plv/h+N/1S/wD8rX/3FR/w/G/6pf8A+Vr/AO4q+pP+IaX/AKrV/wCW5/8AfGj/AIhpf+q1f+W5/wDfGj65W/m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一、环境配置"]},{"cell_type":"markdown","id":"f3d033b6","metadata":{},"source":["在当前文件夹下新建`.env`文件，内容为`OPENAI_API_KEY = \"sk-...\"`\n","\n","由于本章节需要使用`PyPDFLoader`、`Chroma`，故需要安装依赖包`pypdf`、`chromadb`"]},{"cell_type":"code","execution_count":1,"id":"7f8d2266-4a35-4904-ae9d-c89790c5ae61","metadata":{"height":166,"tags":[]},"outputs":[],"source":["import os\n","import openai\n","import sys\n","sys.path.append('../..')\n","\n","from dotenv import load_dotenv, find_dotenv\n","_ = load_dotenv(find_dotenv()) # 读取本地.env文件\n","\n","openai.api_key  = os.environ['OPENAI_API_KEY']"]},{"cell_type":"markdown","id":"460a54b0","metadata":{},"source":["前两节课我们讨论了`Document Loading`（文档加载）和`Splitting`（分割）。\n","\n","下面我们将使用前两节课的知识对文档进行加载分割。"]},{"cell_type":"markdown","id":"18e077a0","metadata":{},"source":["## 二、读取文档"]},{"cell_type":"markdown","id":"0c1e123e","metadata":{},"source":["下面文档的课程链接 https://see.stanford.edu/Course/CS229 ，可在该网站上下载对应的课程讲义"]},{"cell_type":"code","execution_count":2,"id":"2437469e","metadata":{"height":249,"tags":[]},"outputs":[],"source":["from langchain.document_loaders import PyPDFLoader\n","\n","# 加载 PDF\n","loaders = [\n","    # 故意添加重复文档，使数据混乱\n","    PyPDFLoader(\"docs/cs229_lectures/MachineLearning-Lecture01.pdf\"),\n","    PyPDFLoader(\"docs/cs229_lectures/MachineLearning-Lecture01.pdf\"),\n","    PyPDFLoader(\"docs/cs229_lectures/MachineLearning-Lecture02.pdf\"),\n","    PyPDFLoader(\"docs/cs229_lectures/MachineLearning-Lecture03.pdf\")\n","]\n","docs = []\n","for loader in loaders:\n","    docs.extend(loader.load())"]},{"cell_type":"markdown","id":"d1ed78d9","metadata":{},"source":["下面文档是datawhale官方开源的matplotlib教程链接 https://datawhalechina.github.io/fantastic-matplotlib/index.html ，可在该网站上下载对应的教程"]},{"cell_type":"code","execution_count":3,"id":"11de2150","metadata":{},"outputs":[],"source":["from langchain.document_loaders import PyPDFLoader\n","\n","# 加载 PDF\n","loaders_chinese = [\n","    # 故意添加重复文档，使数据混乱\n","    PyPDFLoader(\"docs/matplotlib/第一回：Matplotlib初相识.pdf\"),\n","    PyPDFLoader(\"docs/matplotlib/第一回：Matplotlib初相识.pdf\"),\n","    PyPDFLoader(\"docs/matplotlib/第二回：艺术画笔见乾坤.pdf\"),\n","    PyPDFLoader(\"docs/matplotlib/第三回：布局格式定方圆.pdf\")\n","]\n","docs_chinese = []\n","for loader in loaders_chinese:\n","    docs_chinese.extend(loader.load())"]},{"cell_type":"markdown","id":"4b497f5c","metadata":{},"source":["在文档加载后，我们可以使用`RecursiveCharacterTextSplitter`(递归字符文本拆分器)来创建块。"]},{"cell_type":"code","execution_count":4,"id":"eb44bf0d","metadata":{"height":115,"tags":[]},"outputs":[],"source":["# 分割文本\n","from langchain.text_splitter import RecursiveCharacterTextSplitter\n","text_splitter = RecursiveCharacterTextSplitter(\n","    chunk_size = 1500,  # 每个文本块的大小。这意味着每次切分文本时，会尽量使每个块包含 1500 个字符。\n","    chunk_overlap = 150  # 每个文本块之间的重叠部分。\n",")"]},{"cell_type":"code","execution_count":5,"id":"b71e46cc","metadata":{"height":30,"tags":[]},"outputs":[],"source":["splits = text_splitter.split_documents(docs)"]},{"cell_type":"code","execution_count":6,"id":"e061f22d","metadata":{"height":30,"tags":[]},"outputs":[{"data":{"text/plain":["209"]},"execution_count":6,"metadata":{},"output_type":"execute_result"}],"source":["len(splits)"]},{"cell_type":"code","execution_count":7,"id":"99840d4c","metadata":{},"outputs":[],"source":["splits_chinese = text_splitter.split_documents(docs_chinese)"]},{"cell_type":"code","execution_count":8,"id":"d6b60ceb","metadata":{},"outputs":[{"data":{"text/plain":["27"]},"execution_count":8,"metadata":{},"output_type":"execute_result"}],"source":["len(splits_chinese)"]},{"cell_type":"markdown","id":"848e26fd","metadata":{},"source":["## 三、Embeddings\n","\n","什么是`Embeddings`？\n","\n","在机器学习和自然语言处理（NLP）中，`Embeddings`（嵌入）是一种将类别数据，如单词、句子或者整个文档，转化为实数向量的技术。这些实数向量可以被计算机更好地理解和处理。嵌入背后的主要想法是，相似或相关的对象在嵌入空间中的距离应该很近。\n","\n","举个例子，我们可以使用词嵌入（word embeddings）来表示文本数据。在词嵌入中，每个单词被转换为一个向量，这个向量捕获了这个单词的语义信息。例如，\"king\" 和 \"queen\" 这两个单词在嵌入空间中的位置将会非常接近，因为它们的含义相似。而 \"apple\" 和 \"orange\" 也会很接近，因为它们都是水果。而 \"king\" 和 \"apple\" 这两个单词在嵌入空间中的距离就会比较远，因为它们的含义不同。\n","\n","让我们取出我们的切分部分并对它们进行`Embedding`处理。"]},{"cell_type":"code","execution_count":9,"id":"d9dca7a8","metadata":{"height":47,"tags":[]},"outputs":[{"name":"stderr","output_type":"stream","text":["/Users/lta/anaconda3/envs/chat_data/lib/python3.11/site-packages/langchain_core/_api/deprecation.py:119: LangChainDeprecationWarning: The class `OpenAIEmbeddings` was deprecated in LangChain 0.0.9 and will be removed in 0.3.0. An updated version of the class exists in the langchain-openai package and should be used instead. To use it run `pip install -U langchain-openai` and import as `from langchain_openai import OpenAIEmbeddings`.\n","  warn_deprecated(\n"]}],"source":["from langchain.embeddings.openai import OpenAIEmbeddings\n","embedding = OpenAIEmbeddings(model='text-embedding-3-small')"]},{"cell_type":"markdown","id":"6ca11792","metadata":{},"source":["在使用真实文档数据的例子之前，让我们用几个测试案例的句子来试试，以便了解`embedding`。\n","\n","下面有几个示例句子，其中前两个非常相似，第三个与之无关。然后我们可以使用`embedding`类为每个句子创建一个`embedding`。"]},{"cell_type":"code","execution_count":10,"id":"abae34b5","metadata":{},"outputs":[],"source":["sentence1 = \"i like dogs\"\n","sentence2 = \"i like canines\"\n","sentence3 = \"the weather is ugly outside\""]},{"cell_type":"code","execution_count":11,"id":"d1745b19","metadata":{},"outputs":[],"source":["embedding1 = embedding.embed_query(sentence1)\n","embedding2 = embedding.embed_query(sentence2)\n","embedding3 = embedding.embed_query(sentence3)"]},{"cell_type":"code","execution_count":12,"id":"c4099521","metadata":{"height":64,"tags":[]},"outputs":[],"source":["sentence1_chinese = \"我喜欢狗\"\n","sentence2_chinese = \"我喜欢犬科动物\"\n","sentence3_chinese = \"外面的天气很糟糕\""]},{"cell_type":"code","execution_count":13,"id":"d553549a","metadata":{"height":64,"tags":[]},"outputs":[],"source":["embedding1_chinese = embedding.embed_query(sentence1_chinese)\n","embedding2_chinese = embedding.embed_query(sentence2_chinese)\n","embedding3_chinese = embedding.embed_query(sentence3_chinese)"]},{"cell_type":"markdown","id":"6b2805d4","metadata":{},"source":["然后我们可以使用`numpy`来比较它们，看看哪些最相似。\n","\n","我们期望前两个句子应该非常相似。\n","\n","然后，第一和第二个与第三个相比应该相差很大。\n","\n","我们将使用点积来比较两个嵌入。\n","\n","如果你不知道什么是点积，没关系。你只需要知道的重要一点是，分数越高句子越相似。"]},{"cell_type":"code","execution_count":14,"id":"0cbe9a9e","metadata":{"height":30,"tags":[]},"outputs":[],"source":["import numpy as np"]},{"cell_type":"code","execution_count":15,"id":"536db32e","metadata":{},"outputs":[{"data":{"text/plain":["0.8338763861124505"]},"execution_count":15,"metadata":{},"output_type":"execute_result"}],"source":["np.dot(embedding1, embedding2)"]},{"cell_type":"code","execution_count":16,"id":"29844c64","metadata":{},"outputs":[{"data":{"text/plain":["0.21898928790384764"]},"execution_count":16,"metadata":{},"output_type":"execute_result"}],"source":["np.dot(embedding1, embedding3)"]},{"cell_type":"code","execution_count":17,"id":"c1e17a9e","metadata":{},"outputs":[{"data":{"text/plain":["0.1850211777650424"]},"execution_count":17,"metadata":{},"output_type":"execute_result"}],"source":["np.dot(embedding2, embedding3)"]},{"cell_type":"markdown","id":"bdf08401","metadata":{},"source":["我们可以看到前两个`embedding`的分数相当高，为0.96。\n","\n","如果我们将第一个`embedding`与第三个`embedding`进行比较，我们可以看到它明显较低，约为0.77。\n","\n","如果我们将第二个`embedding`和第三个`embedding`进行比较，我们可以看到它的分数大约为0.75。"]},{"cell_type":"code","execution_count":18,"id":"49fc0f8f","metadata":{"height":30,"tags":[]},"outputs":[{"data":{"text/plain":["0.7232575326539132"]},"execution_count":18,"metadata":{},"output_type":"execute_result"}],"source":["np.dot(embedding1_chinese, embedding2_chinese)"]},{"cell_type":"code","execution_count":19,"id":"32a1fac7","metadata":{"height":30,"tags":[]},"outputs":[{"data":{"text/plain":["0.18710999861622954"]},"execution_count":19,"metadata":{},"output_type":"execute_result"}],"source":["np.dot(embedding1_chinese, embedding3_chinese)"]},{"cell_type":"code","execution_count":20,"id":"9dd18328","metadata":{"height":30,"tags":[]},"outputs":[{"data":{"text/plain":["0.13899606496112304"]},"execution_count":20,"metadata":{},"output_type":"execute_result"}],"source":["np.dot(embedding2_chinese, embedding3_chinese)"]},{"cell_type":"markdown","id":"9a17a527","metadata":{},"source":["我们可以看到前两个`embedding`的分数相当高，为0.94。\n","\n","如果我们将第一个`embedding`与第三个`embedding`进行比较，我们可以看到它明显较低，约为0.79。\n","\n","如果我们将第二个`embedding`和第三个`embedding`进行比较，我们可以看到它的分数大约为0.78。"]},{"cell_type":"markdown","id":"4fc7b24f","metadata":{},"source":["## 四、Vectorstores"]},{"cell_type":"markdown","id":"54776973","metadata":{},"source":["### 4.1 初始化Chroma"]},{"cell_type":"markdown","id":"20916c7c","metadata":{},"source":["Langchain集成了超过30个不同的向量存储库。我们选择Chroma是因为它轻量级且数据存储在内存中，这使得它非常容易启动和开始使用。"]},{"cell_type":"code","execution_count":21,"id":"201e6afa","metadata":{"height":30,"tags":[]},"outputs":[],"source":["from langchain.vectorstores import Chroma"]},{"cell_type":"code","execution_count":22,"id":"93960ac5","metadata":{"height":30,"tags":[]},"outputs":[],"source":["persist_directory = 'docs/chroma/cs229_lectures/'"]},{"cell_type":"code","execution_count":23,"id":"a195e72a","metadata":{"height":30,"tags":[]},"outputs":[],"source":["!rm -rf './docs/chroma/cs229_lectures'  # 删除旧的数据库文件（如果文件夹中有文件的话），window电脑请手动删除"]},{"cell_type":"code","execution_count":24,"id":"690efd0a","metadata":{"height":98,"tags":[]},"outputs":[],"source":["vectordb = Chroma.from_documents(\n","    documents=splits,\n","    embedding=embedding,\n","    persist_directory=persist_directory  # 允许我们将persist_directory目录保存到磁盘上\n",")"]},{"cell_type":"code","execution_count":25,"id":"f777480c","metadata":{"height":30,"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["209\n"]}],"source":["print(vectordb._collection.count())"]},{"cell_type":"code","execution_count":26,"id":"d720e2b7","metadata":{},"outputs":[],"source":["persist_directory_chinese = 'docs/chroma/matplotlib/'"]},{"cell_type":"code","execution_count":27,"id":"570a2768","metadata":{},"outputs":[],"source":["!rm -rf './docs/chroma/matplotlib'  # 删除旧的数据库文件（如果文件夹中有文件的话）"]},{"cell_type":"code","execution_count":28,"id":"1e03438d","metadata":{},"outputs":[],"source":["vectordb_chinese = Chroma.from_documents(\n","    documents=splits_chinese,\n","    embedding=embedding,\n","    persist_directory=persist_directory_chinese  # 允许我们将persist_directory目录保存到磁盘上\n",")"]},{"cell_type":"code","execution_count":29,"id":"cf87aba0","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["27\n"]}],"source":["print(vectordb_chinese._collection.count())"]},{"cell_type":"markdown","id":"9f78f412","metadata":{},"source":["我们可以看到英文版的长度也是209、中文版的长度也是30，这与我们之前的切分数量是一样的。现在让我们开始使用它。"]},{"cell_type":"markdown","id":"efca7589","metadata":{},"source":["### 4.2 相似性搜索(Similarity Search)"]},{"cell_type":"code","execution_count":30,"id":"3e20837d","metadata":{"height":30,"tags":[]},"outputs":[],"source":["question = \"is there an email i can ask for help\"  # \"有我可以寻求帮助的电子邮件吗\""]},{"cell_type":"code","execution_count":31,"id":"f9bde572","metadata":{"height":30,"tags":[]},"outputs":[],"source":["docs = vectordb.similarity_search(question,k=3)"]},{"cell_type":"code","execution_count":32,"id":"41388af1","metadata":{"height":30,"tags":[]},"outputs":[{"data":{"text/plain":["3"]},"execution_count":32,"metadata":{},"output_type":"execute_result"}],"source":["len(docs)"]},{"cell_type":"code","execution_count":33,"id":"183434f6","metadata":{"height":30,"tags":[]},"outputs":[{"data":{"text/plain":["\"So all right, online resources. The class has a home page, so it's in on the handouts. I \\nwon't write on the chalkboard — http:// cs229.stanford.edu. And so when there are \\nhomework assignments or things like that, we  usually won't sort of — in the mission of \\nsaving trees, we will usually not give out many handouts in class. So homework \\nassignments, homework solutions will be posted online at the course home page.  \\nAs far as this class, I've also written, a nd I guess I've also revised every year a set of \\nfairly detailed lecture notes that cover the te chnical content of this  class. And so if you \\nvisit the course homepage, you'll also find the detailed lecture notes that go over in detail \\nall the math and equations and so on  that I'll be doing in class.  \\nThere's also a newsgroup, su.class.cs229, also written on the handout. This is a \\nnewsgroup that's sort of a forum for people in  the class to get to  know each other and \\nhave whatever discussions you want to ha ve amongst yourselves. So the class newsgroup \\nwill not be monitored by the TAs and me. But this is a place for you to form study groups \\nor find project partners or discuss homework problems and so on, and it's not monitored \\nby the TAs and me. So feel free to ta lk trash about this class there.  \\nIf you want to contact the teaching staff, pl ease use the email address written down here, \\ncs229-qa@cs.stanford.edu. This goes to an acc ount that's read by all the TAs and me. So\""]},"execution_count":33,"metadata":{},"output_type":"execute_result"}],"source":["docs[0].page_content"]},{"cell_type":"markdown","id":"1edb21d8","metadata":{},"source":["如果我们查看第一个文档的内容，我们可以看到它实际上是关于一个电子邮件地址，cs229-qa@cs.stanford.edu。\n","\n","这是我们可以向其发送问题的电子邮件，所有的助教都会阅读这些邮件。"]},{"cell_type":"code","execution_count":34,"id":"53bcc061","metadata":{},"outputs":[],"source":["question_chinese = \"Matplotlib是什么？\" "]},{"cell_type":"code","execution_count":35,"id":"2d2dc834","metadata":{},"outputs":[],"source":["docs_chinese = vectordb_chinese.similarity_search(question_chinese,k=3)"]},{"cell_type":"code","execution_count":36,"id":"eebe77e7","metadata":{},"outputs":[{"data":{"text/plain":["3"]},"execution_count":36,"metadata":{},"output_type":"execute_result"}],"source":["len(docs_chinese)"]},{"cell_type":"code","execution_count":37,"id":"860af154","metadata":{},"outputs":[{"data":{"text/plain":["'第⼀回：Matplotlib 初相识\\n⼀、认识matplotlib\\nMatplotlib 是⼀个 Python 2D 绘图库，能够以多种硬拷⻉格式和跨平台的交互式环境⽣成出版物质量的图形，⽤来绘制各种静态，动态，\\n交互式的图表。\\nMatplotlib 可⽤于 Python 脚本， Python 和 IPython Shell 、 Jupyter notebook ， Web 应⽤程序服务器和各种图形⽤户界⾯⼯具包等。\\nMatplotlib 是 Python 数据可视化库中的泰⽃，它已经成为 python 中公认的数据可视化⼯具，我们所熟知的 pandas 和 seaborn 的绘图接⼝\\n其实也是基于 matplotlib 所作的⾼级封装。\\n为了对matplotlib 有更好的理解，让我们从⼀些最基本的概念开始认识它，再逐渐过渡到⼀些⾼级技巧中。\\n⼆、⼀个最简单的绘图例⼦\\nMatplotlib 的图像是画在 figure （如 windows ， jupyter 窗体）上的，每⼀个 figure ⼜包含了⼀个或多个 axes （⼀个可以指定坐标系的⼦区\\n域）。最简单的创建 figure 以及 axes 的⽅式是通过 pyplot.subplots命令，创建 axes 以后，可以使⽤ Axes.plot绘制最简易的折线图。\\nimport matplotlib.pyplot as plt\\nimport matplotlib as mpl\\nimport numpy as np\\nfig, ax = plt.subplots()  # 创建⼀个包含⼀个 axes 的 figure\\nax.plot([1, 2, 3, 4], [1, 4, 2, 3]);  # 绘制图像\\nTrick： 在jupyter notebook 中使⽤ matplotlib 时会发现，代码运⾏后⾃动打印出类似 <matplotlib.lines.Line2D at 0x23155916dc0>\\n这样⼀段话，这是因为 matplotlib 的绘图代码默认打印出最后⼀个对象。如果不想显示这句话，有以下三种⽅法，在本章节的代码示例\\n中你能找到这三种⽅法的使⽤。\\n\\x00. 在代码块最后加⼀个分号 ;\\n\\x00. 在代码块最后加⼀句 plt.show()\\n\\x00. 在绘图时将绘图对象显式赋值给⼀个变量，如将 plt.plot([1, 2, 3, 4]) 改成 line =plt.plot([1, 2, 3, 4])\\n和MATLAB 命令类似，你还可以通过⼀种更简单的⽅式绘制图像， matplotlib.pyplot⽅法能够直接在当前 axes 上绘制图像，如果⽤户\\n未指定axes ， matplotlib 会帮你⾃动创建⼀个。所以上⾯的例⼦也可以简化为以下这⼀⾏代码。\\nline =plt.plot([1, 2, 3, 4], [1, 4, 2, 3]) \\n三、Figure 的组成\\n现在我们来深⼊看⼀下 figure 的组成。通过⼀张 figure 解剖图，我们可以看到⼀个完整的 matplotlib 图像通常会包括以下四个层级，这些\\n层级也被称为容器（ container ），下⼀节会详细介绍。在 matplotlib 的世界中，我们将通过各种命令⽅法来操纵图像中的每⼀个部分，\\n从⽽达到数据可视化的最终效果，⼀副完整的图像实际上是各类⼦元素的集合。\\nFigure：顶层级，⽤来容纳所有绘图元素'"]},"execution_count":37,"metadata":{},"output_type":"execute_result"}],"source":["docs_chinese[0].page_content"]},{"cell_type":"markdown","id":"60a720a6","metadata":{},"source":["如果我们查看第一个文档的内容，我们可以看到它实际上是关于Matplotlib的介绍"]},{"cell_type":"markdown","id":"fba57a1d","metadata":{},"source":["在此之后，我们要确保通过运行vectordb.persist来持久化向量数据库，以便我们在未来的课程中使用。\n","\n","让我们保存它，以便以后使用！"]},{"cell_type":"code","execution_count":38,"id":"ea657123","metadata":{"height":30,"tags":[]},"outputs":[{"name":"stderr","output_type":"stream","text":["/Users/lta/anaconda3/envs/chat_data/lib/python3.11/site-packages/langchain_core/_api/deprecation.py:119: LangChainDeprecationWarning: Since Chroma 0.4.x the manual persistence method is no longer supported as docs are automatically persisted.\n","  warn_deprecated(\n"]}],"source":["vectordb.persist()"]},{"cell_type":"code","execution_count":39,"id":"9065f5b1","metadata":{},"outputs":[],"source":["vectordb_chinese.persist()"]},{"cell_type":"markdown","id":"cefe9f6a","metadata":{},"source":["## 五、失败的情况(Failure modes)"]},{"cell_type":"markdown","id":"089da0ca","metadata":{},"source":["这看起来很好，基本的相似性搜索很容易就能让你完成80%的工作。\n","\n","但是，可能会出现一些相似性搜索失败的情况。\n","\n","这里有一些可能出现的边缘情况——我们将在下一堂课中修复它们。"]},{"cell_type":"code","execution_count":40,"id":"df0f29f9","metadata":{"height":30,"tags":[]},"outputs":[],"source":["question = \"what did they say about matlab?\"  # \"他们对 matlab 有何评价？\""]},{"cell_type":"code","execution_count":41,"id":"02be97df","metadata":{"height":30,"tags":[]},"outputs":[],"source":["docs = vectordb.similarity_search(question,k=5)"]},{"cell_type":"code","execution_count":42,"id":"34359d7a","metadata":{},"outputs":[],"source":["question_chinese = \"Matplotlib是什么？\""]},{"cell_type":"code","execution_count":43,"id":"c0546006","metadata":{},"outputs":[],"source":["docs_chinese = vectordb_chinese.similarity_search(question_chinese,k=5)"]},{"cell_type":"markdown","id":"2a9f579e","metadata":{},"source":["请注意，我们得到了重复的块（因为索引中有重复的 `MachineLearning-Lecture01.pdf`、`第一回：Matplotlib初相识.pdf`）。\n","\n","语义搜索获取所有相似的文档，但不强制多样性。\n","\n","`docs[0]` 和 `docs[1]` 是完全相同的，以及`docs_chinese[0]` 和 `docs_chinese[1]` 是完全相同的。"]},{"cell_type":"code","execution_count":44,"id":"d39f6954","metadata":{"height":30,"tags":[]},"outputs":[{"data":{"text/plain":["Document(page_content='those homeworks will be done in either MATLA B or in Octave, which is sort of — I \\nknow some people call it a free ve rsion of MATLAB, which it sort  of is, sort of isn\\'t.  \\nSo I guess for those of you that haven\\'t s een MATLAB before, and I know most of you \\nhave, MATLAB is I guess part of the programming language that makes it very easy to write codes using matrices, to write code for numerical routines, to move data around, to \\nplot data. And it\\'s sort of an extremely easy to  learn tool to use for implementing a lot of \\nlearning algorithms.  \\nAnd in case some of you want to work on your  own home computer or something if you \\ndon\\'t have a MATLAB license, for the purposes of  this class, there\\'s also — [inaudible] \\nwrite that down [inaudible] MATLAB — there\\' s also a software package called Octave \\nthat you can download for free off the Internet. And it has somewhat fewer features than MATLAB, but it\\'s free, and for the purposes of  this class, it will work for just about \\neverything.  \\nSo actually I, well, so yeah, just a side comment for those of you that haven\\'t seen \\nMATLAB before I guess, once a colleague of mine at a different university, not at \\nStanford, actually teaches another machine l earning course. He\\'s taught it for many years. \\nSo one day, he was in his office, and an old student of his from, lik e, ten years ago came \\ninto his office and he said, \"Oh, professo r, professor, thank you so much for your', metadata={'page': 8, 'source': 'docs/cs229_lectures/MachineLearning-Lecture01.pdf'})"]},"execution_count":44,"metadata":{},"output_type":"execute_result"}],"source":["docs[0]"]},{"cell_type":"code","execution_count":45,"id":"e04e3d1b","metadata":{"height":30,"tags":[]},"outputs":[{"data":{"text/plain":["Document(page_content='those homeworks will be done in either MATLA B or in Octave, which is sort of — I \\nknow some people call it a free ve rsion of MATLAB, which it sort  of is, sort of isn\\'t.  \\nSo I guess for those of you that haven\\'t s een MATLAB before, and I know most of you \\nhave, MATLAB is I guess part of the programming language that makes it very easy to write codes using matrices, to write code for numerical routines, to move data around, to \\nplot data. And it\\'s sort of an extremely easy to  learn tool to use for implementing a lot of \\nlearning algorithms.  \\nAnd in case some of you want to work on your  own home computer or something if you \\ndon\\'t have a MATLAB license, for the purposes of  this class, there\\'s also — [inaudible] \\nwrite that down [inaudible] MATLAB — there\\' s also a software package called Octave \\nthat you can download for free off the Internet. And it has somewhat fewer features than MATLAB, but it\\'s free, and for the purposes of  this class, it will work for just about \\neverything.  \\nSo actually I, well, so yeah, just a side comment for those of you that haven\\'t seen \\nMATLAB before I guess, once a colleague of mine at a different university, not at \\nStanford, actually teaches another machine l earning course. He\\'s taught it for many years. \\nSo one day, he was in his office, and an old student of his from, lik e, ten years ago came \\ninto his office and he said, \"Oh, professo r, professor, thank you so much for your', metadata={'page': 8, 'source': 'docs/cs229_lectures/MachineLearning-Lecture01.pdf'})"]},"execution_count":45,"metadata":{},"output_type":"execute_result"}],"source":["docs[1]"]},{"cell_type":"code","execution_count":46,"id":"092fd2f5","metadata":{},"outputs":[{"data":{"text/plain":["Document(page_content='第⼀回：Matplotlib 初相识\\n⼀、认识matplotlib\\nMatplotlib 是⼀个 Python 2D 绘图库，能够以多种硬拷⻉格式和跨平台的交互式环境⽣成出版物质量的图形，⽤来绘制各种静态，动态，\\n交互式的图表。\\nMatplotlib 可⽤于 Python 脚本， Python 和 IPython Shell 、 Jupyter notebook ， Web 应⽤程序服务器和各种图形⽤户界⾯⼯具包等。\\nMatplotlib 是 Python 数据可视化库中的泰⽃，它已经成为 python 中公认的数据可视化⼯具，我们所熟知的 pandas 和 seaborn 的绘图接⼝\\n其实也是基于 matplotlib 所作的⾼级封装。\\n为了对matplotlib 有更好的理解，让我们从⼀些最基本的概念开始认识它，再逐渐过渡到⼀些⾼级技巧中。\\n⼆、⼀个最简单的绘图例⼦\\nMatplotlib 的图像是画在 figure （如 windows ， jupyter 窗体）上的，每⼀个 figure ⼜包含了⼀个或多个 axes （⼀个可以指定坐标系的⼦区\\n域）。最简单的创建 figure 以及 axes 的⽅式是通过 pyplot.subplots命令，创建 axes 以后，可以使⽤ Axes.plot绘制最简易的折线图。\\nimport matplotlib.pyplot as plt\\nimport matplotlib as mpl\\nimport numpy as np\\nfig, ax = plt.subplots()  # 创建⼀个包含⼀个 axes 的 figure\\nax.plot([1, 2, 3, 4], [1, 4, 2, 3]);  # 绘制图像\\nTrick： 在jupyter notebook 中使⽤ matplotlib 时会发现，代码运⾏后⾃动打印出类似 <matplotlib.lines.Line2D at 0x23155916dc0>\\n这样⼀段话，这是因为 matplotlib 的绘图代码默认打印出最后⼀个对象。如果不想显示这句话，有以下三种⽅法，在本章节的代码示例\\n中你能找到这三种⽅法的使⽤。\\n\\x00. 在代码块最后加⼀个分号 ;\\n\\x00. 在代码块最后加⼀句 plt.show()\\n\\x00. 在绘图时将绘图对象显式赋值给⼀个变量，如将 plt.plot([1, 2, 3, 4]) 改成 line =plt.plot([1, 2, 3, 4])\\n和MATLAB 命令类似，你还可以通过⼀种更简单的⽅式绘制图像， matplotlib.pyplot⽅法能够直接在当前 axes 上绘制图像，如果⽤户\\n未指定axes ， matplotlib 会帮你⾃动创建⼀个。所以上⾯的例⼦也可以简化为以下这⼀⾏代码。\\nline =plt.plot([1, 2, 3, 4], [1, 4, 2, 3]) \\n三、Figure 的组成\\n现在我们来深⼊看⼀下 figure 的组成。通过⼀张 figure 解剖图，我们可以看到⼀个完整的 matplotlib 图像通常会包括以下四个层级，这些\\n层级也被称为容器（ container ），下⼀节会详细介绍。在 matplotlib 的世界中，我们将通过各种命令⽅法来操纵图像中的每⼀个部分，\\n从⽽达到数据可视化的最终效果，⼀副完整的图像实际上是各类⼦元素的集合。\\nFigure：顶层级，⽤来容纳所有绘图元素', metadata={'page': 0, 'source': 'docs/matplotlib/第一回：Matplotlib初相识.pdf'})"]},"execution_count":46,"metadata":{},"output_type":"execute_result"}],"source":["docs_chinese[0]"]},{"cell_type":"code","execution_count":47,"id":"270f0a10","metadata":{},"outputs":[{"data":{"text/plain":["Document(page_content='第⼀回：Matplotlib 初相识\\n⼀、认识matplotlib\\nMatplotlib 是⼀个 Python 2D 绘图库，能够以多种硬拷⻉格式和跨平台的交互式环境⽣成出版物质量的图形，⽤来绘制各种静态，动态，\\n交互式的图表。\\nMatplotlib 可⽤于 Python 脚本， Python 和 IPython Shell 、 Jupyter notebook ， Web 应⽤程序服务器和各种图形⽤户界⾯⼯具包等。\\nMatplotlib 是 Python 数据可视化库中的泰⽃，它已经成为 python 中公认的数据可视化⼯具，我们所熟知的 pandas 和 seaborn 的绘图接⼝\\n其实也是基于 matplotlib 所作的⾼级封装。\\n为了对matplotlib 有更好的理解，让我们从⼀些最基本的概念开始认识它，再逐渐过渡到⼀些⾼级技巧中。\\n⼆、⼀个最简单的绘图例⼦\\nMatplotlib 的图像是画在 figure （如 windows ， jupyter 窗体）上的，每⼀个 figure ⼜包含了⼀个或多个 axes （⼀个可以指定坐标系的⼦区\\n域）。最简单的创建 figure 以及 axes 的⽅式是通过 pyplot.subplots命令，创建 axes 以后，可以使⽤ Axes.plot绘制最简易的折线图。\\nimport matplotlib.pyplot as plt\\nimport matplotlib as mpl\\nimport numpy as np\\nfig, ax = plt.subplots()  # 创建⼀个包含⼀个 axes 的 figure\\nax.plot([1, 2, 3, 4], [1, 4, 2, 3]);  # 绘制图像\\nTrick： 在jupyter notebook 中使⽤ matplotlib 时会发现，代码运⾏后⾃动打印出类似 <matplotlib.lines.Line2D at 0x23155916dc0>\\n这样⼀段话，这是因为 matplotlib 的绘图代码默认打印出最后⼀个对象。如果不想显示这句话，有以下三种⽅法，在本章节的代码示例\\n中你能找到这三种⽅法的使⽤。\\n\\x00. 在代码块最后加⼀个分号 ;\\n\\x00. 在代码块最后加⼀句 plt.show()\\n\\x00. 在绘图时将绘图对象显式赋值给⼀个变量，如将 plt.plot([1, 2, 3, 4]) 改成 line =plt.plot([1, 2, 3, 4])\\n和MATLAB 命令类似，你还可以通过⼀种更简单的⽅式绘制图像， matplotlib.pyplot⽅法能够直接在当前 axes 上绘制图像，如果⽤户\\n未指定axes ， matplotlib 会帮你⾃动创建⼀个。所以上⾯的例⼦也可以简化为以下这⼀⾏代码。\\nline =plt.plot([1, 2, 3, 4], [1, 4, 2, 3]) \\n三、Figure 的组成\\n现在我们来深⼊看⼀下 figure 的组成。通过⼀张 figure 解剖图，我们可以看到⼀个完整的 matplotlib 图像通常会包括以下四个层级，这些\\n层级也被称为容器（ container ），下⼀节会详细介绍。在 matplotlib 的世界中，我们将通过各种命令⽅法来操纵图像中的每⼀个部分，\\n从⽽达到数据可视化的最终效果，⼀副完整的图像实际上是各类⼦元素的集合。\\nFigure：顶层级，⽤来容纳所有绘图元素', metadata={'page': 0, 'source': 'docs/matplotlib/第一回：Matplotlib初相识.pdf'})"]},"execution_count":47,"metadata":{},"output_type":"execute_result"}],"source":["docs_chinese[1]"]},{"cell_type":"markdown","id":"3a3a915d","metadata":{},"source":["我们可以看到一种新的失败的情况。\n","\n","下面的问题询问了关于第三讲的问题，但也包括了来自其他讲的结果。"]},{"cell_type":"code","execution_count":48,"id":"b19135e5","metadata":{"height":45,"tags":[]},"outputs":[],"source":["question = \"what did they say about regression in the third lecture?\"  # \"他们在第三讲中是怎么谈论回归的？\""]},{"cell_type":"code","execution_count":49,"id":"d434942c","metadata":{"height":30,"tags":[]},"outputs":[],"source":["docs = vectordb.similarity_search(question,k=5)"]},{"cell_type":"code","execution_count":50,"id":"c2c5df59","metadata":{"height":47,"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["{'page': 0, 'source': 'docs/cs229_lectures/MachineLearning-Lecture03.pdf'}\n","{'page': 14, 'source': 'docs/cs229_lectures/MachineLearning-Lecture03.pdf'}\n","{'page': 6, 'source': 'docs/cs229_lectures/MachineLearning-Lecture03.pdf'}\n","{'page': 0, 'source': 'docs/cs229_lectures/MachineLearning-Lecture02.pdf'}\n","{'page': 2, 'source': 'docs/cs229_lectures/MachineLearning-Lecture03.pdf'}\n"]}],"source":["for doc in docs:\n","    print(doc.metadata)"]},{"cell_type":"code","execution_count":51,"id":"8e6cb50c","metadata":{"height":30,"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["regression problem like this. What I want to do today is talk about a class of algorithms \n","called non-parametric learning algorithms that will help to alleviate the need somewhat \n","for you to choose features very carefully. Okay ? And this leads us in to our discussion of \n","locally weighted regression. And just to de fine the term, linear regression, as we’ve \n","defined it so far, is an example of a parame tric learning algorithm. Parametric learning \n","algorithm is one that’s defined as an algorithm that has a fixed number of parameters that \n","fit to the data. Okay? So in linear regression we  have a fix set of parameters theta, right? \n","That must fit to the data. In contrast, what  I’m gonna talk about now is our first non-\n","parametric learning algorithm. The formal defi nition, which is not very  intuitive, so I’ve \n","replaced it with a second, say, more intuitive. The, sort of, formal definition of the non-\n","parametric learning algorithm is that it’s an  algorithm where the number of parameters \n","goes with M, with the size of the training se t. And usually it’s de fined as a number of \n","parameters grows linearly with the size of the training set. Th is is the formal definition. A \n","slightly less formal definition is that th e amount of stuff that your learning algorithm \n","needs to keep around will grow linearly with th e training sets or, in another way of saying \n","it, is that this is an algorithm that we’ll n eed to keep around an entire training set, even\n"]}],"source":["print(docs[4].page_content)"]},{"cell_type":"code","execution_count":52,"id":"e0a7e9c8","metadata":{},"outputs":[],"source":["question_chinese = \"他们在第二讲中对Figure说了些什么？\"  "]},{"cell_type":"code","execution_count":53,"id":"62c0bfc6","metadata":{},"outputs":[],"source":["docs_chinese = vectordb_chinese.similarity_search(question_chinese,k=5)"]},{"cell_type":"code","execution_count":54,"id":"26bd586d","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["{'page': 9, 'source': 'docs/matplotlib/第二回：艺术画笔见乾坤.pdf'}\n","{'page': 0, 'source': 'docs/matplotlib/第一回：Matplotlib初相识.pdf'}\n","{'page': 0, 'source': 'docs/matplotlib/第一回：Matplotlib初相识.pdf'}\n","{'page': 0, 'source': 'docs/matplotlib/第三回：布局格式定方圆.pdf'}\n","{'page': 0, 'source': 'docs/matplotlib/第二回：艺术画笔见乾坤.pdf'}\n"]}],"source":["for doc_chinese in docs_chinese:\n","    print(doc_chinese.metadata)"]},{"cell_type":"code","execution_count":55,"id":"71b6bbf3","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["第⼀回：Matplotlib 初相识\n","⼀、认识matplotlib\n","Matplotlib 是⼀个 Python 2D 绘图库，能够以多种硬拷⻉格式和跨平台的交互式环境⽣成出版物质量的图形，⽤来绘制各种静态，动态，\n","交互式的图表。\n","Matplotlib 可⽤于 Python 脚本， Python 和 IPython Shell 、 Jupyter notebook ， Web 应⽤程序服务器和各种图形⽤户界⾯⼯具包等。\n","Matplotlib 是 Python 数据可视化库中的泰⽃，它已经成为 python 中公认的数据可视化⼯具，我们所熟知的 pandas 和 seaborn 的绘图接⼝\n","其实也是基于 matplotlib 所作的⾼级封装。\n","为了对matplotlib 有更好的理解，让我们从⼀些最基本的概念开始认识它，再逐渐过渡到⼀些⾼级技巧中。\n","⼆、⼀个最简单的绘图例⼦\n","Matplotlib 的图像是画在 figure （如 windows ， jupyter 窗体）上的，每⼀个 figure ⼜包含了⼀个或多个 axes （⼀个可以指定坐标系的⼦区\n","域）。最简单的创建 figure 以及 axes 的⽅式是通过 pyplot.subplots命令，创建 axes 以后，可以使⽤ Axes.plot绘制最简易的折线图。\n","import matplotlib.pyplot as plt\n","import matplotlib as mpl\n","import numpy as np\n","fig, ax = plt.subplots()  # 创建⼀个包含⼀个 axes 的 figure\n","ax.plot([1, 2, 3, 4], [1, 4, 2, 3]);  # 绘制图像\n","Trick： 在jupyter notebook 中使⽤ matplotlib 时会发现，代码运⾏后⾃动打印出类似 <matplotlib.lines.Line2D at 0x23155916dc0>\n","这样⼀段话，这是因为 matplotlib 的绘图代码默认打印出最后⼀个对象。如果不想显示这句话，有以下三种⽅法，在本章节的代码示例\n","中你能找到这三种⽅法的使⽤。\n","\u0000. 在代码块最后加⼀个分号 ;\n","\u0000. 在代码块最后加⼀句 plt.show()\n","\u0000. 在绘图时将绘图对象显式赋值给⼀个变量，如将 plt.plot([1, 2, 3, 4]) 改成 line =plt.plot([1, 2, 3, 4])\n","和MATLAB 命令类似，你还可以通过⼀种更简单的⽅式绘制图像， matplotlib.pyplot⽅法能够直接在当前 axes 上绘制图像，如果⽤户\n","未指定axes ， matplotlib 会帮你⾃动创建⼀个。所以上⾯的例⼦也可以简化为以下这⼀⾏代码。\n","line =plt.plot([1, 2, 3, 4], [1, 4, 2, 3]) \n","三、Figure 的组成\n","现在我们来深⼊看⼀下 figure 的组成。通过⼀张 figure 解剖图，我们可以看到⼀个完整的 matplotlib 图像通常会包括以下四个层级，这些\n","层级也被称为容器（ container ），下⼀节会详细介绍。在 matplotlib 的世界中，我们将通过各种命令⽅法来操纵图像中的每⼀个部分，\n","从⽽达到数据可视化的最终效果，⼀副完整的图像实际上是各类⼦元素的集合。\n","Figure：顶层级，⽤来容纳所有绘图元素\n"]}],"source":["print(docs_chinese[2].page_content)"]},{"cell_type":"markdown","id":"c3dbca56","metadata":{},"source":["在下一讲中讨论的方法可以用来解决这两个问题！"]}],"metadata":{"kernelspec":{"display_name":"auto-gpt","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.1.-1"}},"nbformat":4,"nbformat_minor":5}
+{"cells": [{"cell_type": "markdown", "id": "0d647f70", "metadata": {}, "source": ["# \u7b2c\u56db\u7ae0 \u5411\u91cf\u6570\u636e\u5e93\u4e0e\u8bcd\u5411\u91cf(Vectorstores and Embeddings)\n", "\n", " - [\u4e00\u3001\u73af\u5883\u914d\u7f6e](#\u4e00\u3001\u73af\u5883\u914d\u7f6e)\n", " - [\u4e8c\u3001\u8bfb\u53d6\u6587\u6863](#\u4e8c\u3001\u8bfb\u53d6\u6587\u6863)\n", " - [\u4e09\u3001Embeddings](#\u4e09\u3001Embeddings)\n", " - [\u56db\u3001Vectorstores](#\u56db\u3001Vectorstores)\n", "     - [4.1 \u521d\u59cb\u5316Chroma](#4.1-\u521d\u59cb\u5316Chroma)\n", "     - [4.2 \u76f8\u4f3c\u6027\u641c\u7d22(Similarity Search)](#4.2-\u76f8\u4f3c\u6027\u641c\u7d22(Similarity-Search))\n", " - [\u4e94\u3001\u5931\u8d25\u7684\u60c5\u51b5(Failure modes)](#\u4e94\u3001\u5931\u8d25\u7684\u60c5\u51b5(Failure-modes))\n"]}, {"cell_type": "markdown", "id": "ea9da9ec", "metadata": {}, "source": 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"cell_type": "markdown", "id": "125247c2", "metadata": {}, "source": ["![overview.jpeg](attachment:overview.jpeg)"]}, {"cell_type": "markdown", "id": "88e5ba0b", "metadata": {}, "source": ["## \u4e00\u3001\u73af\u5883\u914d\u7f6e"]}, {"cell_type": "markdown", "id": "f3d033b6", "metadata": {}, "source": ["\u5728\u5f53\u524d\u6587\u4ef6\u5939\u4e0b\u65b0\u5efa`.env`\u6587\u4ef6\uff0c\u5185\u5bb9\u4e3a`OPENAI_API_KEY = \"sk-...\"`\n", "\n", "\u7531\u4e8e\u672c\u7ae0\u8282\u9700\u8981\u4f7f\u7528`PyPDFLoader`\u3001`Chroma`\uff0c\u6545\u9700\u8981\u5b89\u88c5\u4f9d\u8d56\u5305`pypdf`\u3001`chromadb`"]}, {"cell_type": "code", "execution_count": 3, "id": "8ed9c2eb", "metadata": {}, "outputs": [], "source": ["!pip install -Uq pypdf\n", "!pip install -Uq chromadb"]}, {"cell_type": "code", "execution_count": 5, "id": "7f8d2266-4a35-4904-ae9d-c89790c5ae61", "metadata": {"height": 166, "tags": []}, "outputs": [], "source": ["import os\n", "import openai\n", "import sys\n", "sys.path.append('../..')\n", "\n", "from dotenv import load_dotenv, find_dotenv\n", "_ = load_dotenv(find_dotenv()) # \u8bfb\u53d6\u672c\u5730.env\u6587\u4ef6\n", "\n", "openai.api_key  = os.environ['OPENAI_API_KEY']"]}, {"cell_type": "markdown", "id": "460a54b0", "metadata": {}, "source": ["\u524d\u4e24\u8282\u8bfe\u6211\u4eec\u8ba8\u8bba\u4e86`Document Loading`\uff08\u6587\u6863\u52a0\u8f7d\uff09\u548c`Splitting`\uff08\u5206\u5272\uff09\u3002\n", "\n", "\u4e0b\u9762\u6211\u4eec\u5c06\u4f7f\u7528\u524d\u4e24\u8282\u8bfe\u7684\u77e5\u8bc6\u5bf9\u6587\u6863\u8fdb\u884c\u52a0\u8f7d\u5206\u5272\u3002"]}, {"cell_type": "markdown", "id": "18e077a0", "metadata": {}, "source": ["## \u4e8c\u3001\u8bfb\u53d6\u6587\u6863"]}, {"cell_type": "markdown", "id": "0c1e123e", "metadata": {}, "source": ["\u4e0b\u9762\u6587\u6863\u7684\u8bfe\u7a0b\u94fe\u63a5 https://see.stanford.edu/Course/CS229 \uff0c\u53ef\u5728\u8be5\u7f51\u7ad9\u4e0a\u4e0b\u8f7d\u5bf9\u5e94\u7684\u8bfe\u7a0b\u8bb2\u4e49"]}, {"cell_type": "code", "execution_count": 6, "id": "2437469e", "metadata": {"height": 249, "tags": []}, "outputs": [], "source": ["from langchain.document_loaders import PyPDFLoader\n", "\n", "# \u52a0\u8f7d PDF\n", "loaders = [\n", "    # \u6545\u610f\u6dfb\u52a0\u91cd\u590d\u6587\u6863\uff0c\u4f7f\u6570\u636e\u6df7\u4e71\n", "    PyPDFLoader(\"docs/cs229_lectures/MachineLearning-Lecture01.pdf\"),\n", "    PyPDFLoader(\"docs/cs229_lectures/MachineLearning-Lecture01.pdf\"),\n", "    PyPDFLoader(\"docs/cs229_lectures/MachineLearning-Lecture02.pdf\"),\n", "    PyPDFLoader(\"docs/cs229_lectures/MachineLearning-Lecture03.pdf\")\n", "]\n", "docs = []\n", "for loader in loaders:\n", "    docs.extend(loader.load())"]}, {"cell_type": "markdown", "id": "d1ed78d9", "metadata": {}, "source": ["\u4e0b\u9762\u6587\u6863\u662fdatawhale\u5b98\u65b9\u5f00\u6e90\u7684matplotlib\u6559\u7a0b\u94fe\u63a5 https://datawhalechina.github.io/fantastic-matplotlib/index.html \uff0c\u53ef\u5728\u8be5\u7f51\u7ad9\u4e0a\u4e0b\u8f7d\u5bf9\u5e94\u7684\u6559\u7a0b"]}, {"cell_type": "code", "execution_count": 60, "id": "11de2150", "metadata": {}, "outputs": [], "source": ["from langchain.document_loaders import PyPDFLoader\n", "\n", "# \u52a0\u8f7d PDF\n", "loaders_chinese = [\n", "    # \u6545\u610f\u6dfb\u52a0\u91cd\u590d\u6587\u6863\uff0c\u4f7f\u6570\u636e\u6df7\u4e71\n", "    PyPDFLoader(\"docs/matplotlib/\u7b2c\u4e00\u56de\uff1aMatplotlib\u521d\u76f8\u8bc6.pdf\"),\n", "    PyPDFLoader(\"docs/matplotlib/\u7b2c\u4e00\u56de\uff1aMatplotlib\u521d\u76f8\u8bc6.pdf\"),\n", "    PyPDFLoader(\"docs/matplotlib/\u7b2c\u4e8c\u56de\uff1a\u827a\u672f\u753b\u7b14\u89c1\u4e7e\u5764.pdf\"),\n", "    PyPDFLoader(\"docs/matplotlib/\u7b2c\u4e09\u56de\uff1a\u5e03\u5c40\u683c\u5f0f\u5b9a\u65b9\u5706.pdf\")\n", "]\n", "docs_chinese = []\n", "for loader in loaders_chinese:\n", "    docs_chinese.extend(loader.load())"]}, {"cell_type": "markdown", "id": "4b497f5c", "metadata": {}, "source": ["\u5728\u6587\u6863\u52a0\u8f7d\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528`RecursiveCharacterTextSplitter`(\u9012\u5f52\u5b57\u7b26\u6587\u672c\u62c6\u5206\u5668)\u6765\u521b\u5efa\u5757\u3002"]}, {"cell_type": "code", "execution_count": 61, "id": "eb44bf0d", "metadata": {"height": 115, "tags": []}, "outputs": [], "source": ["# \u5206\u5272\u6587\u672c\n", "from langchain.text_splitter import RecursiveCharacterTextSplitter\n", "text_splitter = RecursiveCharacterTextSplitter(\n", "    chunk_size = 1500,  # \u6bcf\u4e2a\u6587\u672c\u5757\u7684\u5927\u5c0f\u3002\u8fd9\u610f\u5473\u7740\u6bcf\u6b21\u5207\u5206\u6587\u672c\u65f6\uff0c\u4f1a\u5c3d\u91cf\u4f7f\u6bcf\u4e2a\u5757\u5305\u542b 1500 \u4e2a\u5b57\u7b26\u3002\n", "    chunk_overlap = 150  # \u6bcf\u4e2a\u6587\u672c\u5757\u4e4b\u95f4\u7684\u91cd\u53e0\u90e8\u5206\u3002\n", ")"]}, {"cell_type": "code", "execution_count": 62, "id": "b71e46cc", "metadata": {"height": 30, "tags": []}, "outputs": [], "source": ["splits = text_splitter.split_documents(docs)"]}, {"cell_type": "code", "execution_count": 63, "id": "e061f22d", "metadata": {"height": 30, "tags": []}, "outputs": [{"data": {"text/plain": ["209"]}, "execution_count": 63, "metadata": {}, "output_type": "execute_result"}], "source": ["len(splits)"]}, {"cell_type": "code", "execution_count": 64, "id": "99840d4c", "metadata": {}, "outputs": [], "source": ["splits_chinese = text_splitter.split_documents(docs_chinese)"]}, {"cell_type": "code", "execution_count": 65, "id": "d6b60ceb", "metadata": {}, "outputs": [{"data": {"text/plain": ["27"]}, "execution_count": 65, "metadata": {}, "output_type": "execute_result"}], "source": ["len(splits_chinese)"]}, {"cell_type": "markdown", "id": "848e26fd", "metadata": {}, "source": ["## \u4e09\u3001Embeddings\n", "\n", "\u4ec0\u4e48\u662f`Embeddings`\uff1f\n", "\n", "\u5728\u673a\u5668\u5b66\u4e60\u548c\u81ea\u7136\u8bed\u8a00\u5904\u7406\uff08NLP\uff09\u4e2d\uff0c`Embeddings`\uff08\u5d4c\u5165\uff09\u662f\u4e00\u79cd\u5c06\u7c7b\u522b\u6570\u636e\uff0c\u5982\u5355\u8bcd\u3001\u53e5\u5b50\u6216\u8005\u6574\u4e2a\u6587\u6863\uff0c\u8f6c\u5316\u4e3a\u5b9e\u6570\u5411\u91cf\u7684\u6280\u672f\u3002\u8fd9\u4e9b\u5b9e\u6570\u5411\u91cf\u53ef\u4ee5\u88ab\u8ba1\u7b97\u673a\u66f4\u597d\u5730\u7406\u89e3\u548c\u5904\u7406\u3002\u5d4c\u5165\u80cc\u540e\u7684\u4e3b\u8981\u60f3\u6cd5\u662f\uff0c\u76f8\u4f3c\u6216\u76f8\u5173\u7684\u5bf9\u8c61\u5728\u5d4c\u5165\u7a7a\u95f4\u4e2d\u7684\u8ddd\u79bb\u5e94\u8be5\u5f88\u8fd1\u3002\n", "\n", "\u4e3e\u4e2a\u4f8b\u5b50\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u8bcd\u5d4c\u5165\uff08word embeddings\uff09\u6765\u8868\u793a\u6587\u672c\u6570\u636e\u3002\u5728\u8bcd\u5d4c\u5165\u4e2d\uff0c\u6bcf\u4e2a\u5355\u8bcd\u88ab\u8f6c\u6362\u4e3a\u4e00\u4e2a\u5411\u91cf\uff0c\u8fd9\u4e2a\u5411\u91cf\u6355\u83b7\u4e86\u8fd9\u4e2a\u5355\u8bcd\u7684\u8bed\u4e49\u4fe1\u606f\u3002\u4f8b\u5982\uff0c\"king\" \u548c \"queen\" \u8fd9\u4e24\u4e2a\u5355\u8bcd\u5728\u5d4c\u5165\u7a7a\u95f4\u4e2d\u7684\u4f4d\u7f6e\u5c06\u4f1a\u975e\u5e38\u63a5\u8fd1\uff0c\u56e0\u4e3a\u5b83\u4eec\u7684\u542b\u4e49\u76f8\u4f3c\u3002\u800c \"apple\" \u548c \"orange\" \u4e5f\u4f1a\u5f88\u63a5\u8fd1\uff0c\u56e0\u4e3a\u5b83\u4eec\u90fd\u662f\u6c34\u679c\u3002\u800c \"king\" \u548c \"apple\" \u8fd9\u4e24\u4e2a\u5355\u8bcd\u5728\u5d4c\u5165\u7a7a\u95f4\u4e2d\u7684\u8ddd\u79bb\u5c31\u4f1a\u6bd4\u8f83\u8fdc\uff0c\u56e0\u4e3a\u5b83\u4eec\u7684\u542b\u4e49\u4e0d\u540c\u3002\n", "\n", "\u8ba9\u6211\u4eec\u53d6\u51fa\u6211\u4eec\u7684\u5207\u5206\u90e8\u5206\u5e76\u5bf9\u5b83\u4eec\u8fdb\u884c`Embedding`\u5904\u7406\u3002"]}, {"cell_type": "code", "execution_count": 13, "id": "d9dca7a8", "metadata": {"height": 47, "tags": []}, "outputs": [], "source": ["from langchain.embeddings.openai import OpenAIEmbeddings\n", "embedding = OpenAIEmbeddings()"]}, {"cell_type": "markdown", "id": "6ca11792", "metadata": {}, "source": ["\u5728\u4f7f\u7528\u771f\u5b9e\u6587\u6863\u6570\u636e\u7684\u4f8b\u5b50\u4e4b\u524d\uff0c\u8ba9\u6211\u4eec\u7528\u51e0\u4e2a\u6d4b\u8bd5\u6848\u4f8b\u7684\u53e5\u5b50\u6765\u8bd5\u8bd5\uff0c\u4ee5\u4fbf\u4e86\u89e3`embedding`\u3002\n", "\n", "\u4e0b\u9762\u6709\u51e0\u4e2a\u793a\u4f8b\u53e5\u5b50\uff0c\u5176\u4e2d\u524d\u4e24\u4e2a\u975e\u5e38\u76f8\u4f3c\uff0c\u7b2c\u4e09\u4e2a\u4e0e\u4e4b\u65e0\u5173\u3002\u7136\u540e\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528`embedding`\u7c7b\u4e3a\u6bcf\u4e2a\u53e5\u5b50\u521b\u5efa\u4e00\u4e2a`embedding`\u3002"]}, {"cell_type": "code", "execution_count": 14, "id": "abae34b5", "metadata": {}, "outputs": [], "source": ["sentence1 = \"i like dogs\"\n", "sentence2 = \"i like canines\"\n", "sentence3 = \"the weather is ugly outside\""]}, {"cell_type": "code", "execution_count": 15, "id": "d1745b19", "metadata": {}, "outputs": [], "source": ["embedding1 = embedding.embed_query(sentence1)\n", "embedding2 = embedding.embed_query(sentence2)\n", "embedding3 = embedding.embed_query(sentence3)"]}, {"cell_type": "code", "execution_count": 16, "id": "c4099521", "metadata": {"height": 64, "tags": []}, "outputs": [], "source": ["sentence1_chinese = \"\u6211\u559c\u6b22\u72d7\"\n", "sentence2_chinese = \"\u6211\u559c\u6b22\u72ac\u79d1\u52a8\u7269\"\n", "sentence3_chinese = \"\u5916\u9762\u7684\u5929\u6c14\u5f88\u7cdf\u7cd5\""]}, {"cell_type": "code", "execution_count": 17, "id": "d553549a", "metadata": {"height": 64, "tags": []}, "outputs": [], "source": ["embedding1_chinese = embedding.embed_query(sentence1_chinese)\n", "embedding2_chinese = embedding.embed_query(sentence2_chinese)\n", "embedding3_chinese = embedding.embed_query(sentence3_chinese)"]}, {"cell_type": "markdown", "id": "6b2805d4", "metadata": {}, "source": ["\u7136\u540e\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528`numpy`\u6765\u6bd4\u8f83\u5b83\u4eec\uff0c\u770b\u770b\u54ea\u4e9b\u6700\u76f8\u4f3c\u3002\n", "\n", "\u6211\u4eec\u671f\u671b\u524d\u4e24\u4e2a\u53e5\u5b50\u5e94\u8be5\u975e\u5e38\u76f8\u4f3c\u3002\n", "\n", "\u7136\u540e\uff0c\u7b2c\u4e00\u548c\u7b2c\u4e8c\u4e2a\u4e0e\u7b2c\u4e09\u4e2a\u76f8\u6bd4\u5e94\u8be5\u76f8\u5dee\u5f88\u5927\u3002\n", "\n", "\u6211\u4eec\u5c06\u4f7f\u7528\u70b9\u79ef\u6765\u6bd4\u8f83\u4e24\u4e2a\u5d4c\u5165\u3002\n", "\n", "\u5982\u679c\u4f60\u4e0d\u77e5\u9053\u4ec0\u4e48\u662f\u70b9\u79ef\uff0c\u6ca1\u5173\u7cfb\u3002\u4f60\u53ea\u9700\u8981\u77e5\u9053\u7684\u91cd\u8981\u4e00\u70b9\u662f\uff0c\u5206\u6570\u8d8a\u9ad8\u53e5\u5b50\u8d8a\u76f8\u4f3c\u3002"]}, {"cell_type": "code", "execution_count": 18, "id": "0cbe9a9e", "metadata": {"height": 30, "tags": []}, "outputs": [], "source": ["import numpy as np"]}, {"cell_type": "code", "execution_count": 19, "id": "536db32e", "metadata": {}, "outputs": [{"data": {"text/plain": ["0.9631853877103518"]}, "execution_count": 19, "metadata": {}, "output_type": "execute_result"}], "source": ["np.dot(embedding1, embedding2)"]}, {"cell_type": "code", "execution_count": 20, "id": "29844c64", "metadata": {}, "outputs": [{"data": {"text/plain": ["0.7709997651294672"]}, "execution_count": 20, "metadata": {}, "output_type": "execute_result"}], "source": ["np.dot(embedding1, embedding3)"]}, {"cell_type": "code", "execution_count": 21, "id": "c1e17a9e", "metadata": {}, "outputs": [{"data": {"text/plain": ["0.7596334120325523"]}, "execution_count": 21, "metadata": {}, "output_type": "execute_result"}], "source": ["np.dot(embedding2, embedding3)"]}, {"cell_type": "markdown", "id": "bdf08401", "metadata": {}, "source": ["\u6211\u4eec\u53ef\u4ee5\u770b\u5230\u524d\u4e24\u4e2a`embedding`\u7684\u5206\u6570\u76f8\u5f53\u9ad8\uff0c\u4e3a0.96\u3002\n", "\n", "\u5982\u679c\u6211\u4eec\u5c06\u7b2c\u4e00\u4e2a`embedding`\u4e0e\u7b2c\u4e09\u4e2a`embedding`\u8fdb\u884c\u6bd4\u8f83\uff0c\u6211\u4eec\u53ef\u4ee5\u770b\u5230\u5b83\u660e\u663e\u8f83\u4f4e\uff0c\u7ea6\u4e3a0.77\u3002\n", "\n", "\u5982\u679c\u6211\u4eec\u5c06\u7b2c\u4e8c\u4e2a`embedding`\u548c\u7b2c\u4e09\u4e2a`embedding`\u8fdb\u884c\u6bd4\u8f83\uff0c\u6211\u4eec\u53ef\u4ee5\u770b\u5230\u5b83\u7684\u5206\u6570\u5927\u7ea6\u4e3a0.75\u3002"]}, {"cell_type": "code", "execution_count": 12, "id": "49fc0f8f", "metadata": {"height": 30, "tags": []}, "outputs": [{"data": {"text/plain": ["0.94406149366893"]}, "execution_count": 12, "metadata": {}, "output_type": "execute_result"}], "source": ["np.dot(embedding1_chinese, embedding2_chinese)"]}, {"cell_type": "code", "execution_count": 13, "id": "32a1fac7", "metadata": {"height": 30, "tags": []}, "outputs": [{"data": {"text/plain": ["0.792186975021313"]}, "execution_count": 13, "metadata": {}, "output_type": "execute_result"}], "source": ["np.dot(embedding1_chinese, embedding3_chinese)"]}, {"cell_type": "code", "execution_count": 14, "id": "9dd18328", "metadata": {"height": 30, "tags": []}, "outputs": [{"data": {"text/plain": ["0.7804109942586283"]}, "execution_count": 14, "metadata": {}, "output_type": "execute_result"}], "source": ["np.dot(embedding2_chinese, embedding3_chinese)"]}, {"cell_type": "markdown", "id": "9a17a527", "metadata": {}, "source": ["\u6211\u4eec\u53ef\u4ee5\u770b\u5230\u524d\u4e24\u4e2a`embedding`\u7684\u5206\u6570\u76f8\u5f53\u9ad8\uff0c\u4e3a0.94\u3002\n", "\n", "\u5982\u679c\u6211\u4eec\u5c06\u7b2c\u4e00\u4e2a`embedding`\u4e0e\u7b2c\u4e09\u4e2a`embedding`\u8fdb\u884c\u6bd4\u8f83\uff0c\u6211\u4eec\u53ef\u4ee5\u770b\u5230\u5b83\u660e\u663e\u8f83\u4f4e\uff0c\u7ea6\u4e3a0.79\u3002\n", "\n", "\u5982\u679c\u6211\u4eec\u5c06\u7b2c\u4e8c\u4e2a`embedding`\u548c\u7b2c\u4e09\u4e2a`embedding`\u8fdb\u884c\u6bd4\u8f83\uff0c\u6211\u4eec\u53ef\u4ee5\u770b\u5230\u5b83\u7684\u5206\u6570\u5927\u7ea6\u4e3a0.78\u3002"]}, {"cell_type": "markdown", "id": "4fc7b24f", "metadata": {}, "source": ["## \u56db\u3001Vectorstores"]}, {"cell_type": "markdown", "id": "54776973", "metadata": {}, "source": ["### 4.1 \u521d\u59cb\u5316Chroma"]}, {"cell_type": "markdown", "id": "20916c7c", "metadata": {}, "source": ["Langchain\u96c6\u6210\u4e86\u8d85\u8fc730\u4e2a\u4e0d\u540c\u7684\u5411\u91cf\u5b58\u50a8\u5e93\u3002\u6211\u4eec\u9009\u62e9Chroma\u662f\u56e0\u4e3a\u5b83\u8f7b\u91cf\u7ea7\u4e14\u6570\u636e\u5b58\u50a8\u5728\u5185\u5b58\u4e2d\uff0c\u8fd9\u4f7f\u5f97\u5b83\u975e\u5e38\u5bb9\u6613\u542f\u52a8\u548c\u5f00\u59cb\u4f7f\u7528\u3002"]}, {"cell_type": "code", "execution_count": 24, "id": "201e6afa", "metadata": {"height": 30, "tags": []}, "outputs": [], "source": ["from langchain.vectorstores import Chroma"]}, {"cell_type": "code", "execution_count": 28, "id": "93960ac5", "metadata": {"height": 30, "tags": []}, "outputs": [], "source": ["persist_directory = 'docs/chroma/cs229_lectures/'"]}, {"cell_type": "code", "execution_count": null, "id": "a195e72a", "metadata": {"height": 30, "tags": []}, "outputs": [], "source": ["!rm -rf './docs/chroma/cs229_lectures'  # \u5220\u9664\u65e7\u7684\u6570\u636e\u5e93\u6587\u4ef6\uff08\u5982\u679c\u6587\u4ef6\u5939\u4e2d\u6709\u6587\u4ef6\u7684\u8bdd\uff09\uff0cwindow\u7535\u8111\u8bf7\u624b\u52a8\u5220\u9664"]}, {"cell_type": "code", "execution_count": 29, "id": "690efd0a", "metadata": {"height": 98, "tags": []}, "outputs": [], "source": ["vectordb = Chroma.from_documents(\n", "    documents=splits,\n", "    embedding=embedding,\n", "    persist_directory=persist_directory  # \u5141\u8bb8\u6211\u4eec\u5c06persist_directory\u76ee\u5f55\u4fdd\u5b58\u5230\u78c1\u76d8\u4e0a\n", ")"]}, {"cell_type": "code", "execution_count": 30, "id": "f777480c", "metadata": {"height": 30, "tags": []}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["209\n"]}], "source": ["print(vectordb._collection.count())"]}, {"cell_type": "code", "execution_count": 66, "id": "d720e2b7", "metadata": {}, "outputs": [], "source": ["persist_directory_chinese = 'docs/chroma/matplotlib/'"]}, {"cell_type": "code", "execution_count": null, "id": "570a2768", "metadata": {}, "outputs": [], "source": ["!rm -rf './docs/chroma/matplotlib'  # \u5220\u9664\u65e7\u7684\u6570\u636e\u5e93\u6587\u4ef6\uff08\u5982\u679c\u6587\u4ef6\u5939\u4e2d\u6709\u6587\u4ef6\u7684\u8bdd\uff09"]}, {"cell_type": "code", "execution_count": 67, "id": "1e03438d", "metadata": {}, "outputs": [], "source": ["vectordb_chinese = Chroma.from_documents(\n", "    documents=splits_chinese,\n", "    embedding=embedding,\n", "    persist_directory=persist_directory_chinese  # \u5141\u8bb8\u6211\u4eec\u5c06persist_directory\u76ee\u5f55\u4fdd\u5b58\u5230\u78c1\u76d8\u4e0a\n", ")"]}, {"cell_type": "code", "execution_count": 68, "id": "cf87aba0", "metadata": {}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["27\n"]}], "source": ["print(vectordb_chinese._collection.count())"]}, {"cell_type": "markdown", "id": "9f78f412", "metadata": {}, "source": ["\u6211\u4eec\u53ef\u4ee5\u770b\u5230\u82f1\u6587\u7248\u7684\u957f\u5ea6\u4e5f\u662f209\u3001\u4e2d\u6587\u7248\u7684\u957f\u5ea6\u4e5f\u662f30\uff0c\u8fd9\u4e0e\u6211\u4eec\u4e4b\u524d\u7684\u5207\u5206\u6570\u91cf\u662f\u4e00\u6837\u7684\u3002\u73b0\u5728\u8ba9\u6211\u4eec\u5f00\u59cb\u4f7f\u7528\u5b83\u3002"]}, {"cell_type": "markdown", "id": "efca7589", "metadata": {}, "source": ["### 4.2 \u76f8\u4f3c\u6027\u641c\u7d22(Similarity Search)"]}, {"cell_type": "code", "execution_count": 31, "id": "3e20837d", "metadata": {"height": 30, "tags": []}, "outputs": [], "source": ["question = \"is there an email i can ask for help\"  # \"\u6709\u6211\u53ef\u4ee5\u5bfb\u6c42\u5e2e\u52a9\u7684\u7535\u5b50\u90ae\u4ef6\u5417\""]}, {"cell_type": "code", "execution_count": 32, "id": "f9bde572", "metadata": {"height": 30, "tags": []}, "outputs": [], "source": ["docs = vectordb.similarity_search(question,k=3)"]}, {"cell_type": "code", "execution_count": 33, "id": "41388af1", "metadata": {"height": 30, "tags": []}, "outputs": [{"data": {"text/plain": ["3"]}, "execution_count": 33, "metadata": {}, "output_type": "execute_result"}], "source": ["len(docs)"]}, {"cell_type": "code", "execution_count": 34, "id": "183434f6", "metadata": {"height": 30, "tags": []}, "outputs": [{"data": {"text/plain": ["\"cs229-qa@cs.stanford.edu. This goes to an acc ount that's read by all the TAs and me. So \\nrather than sending us email individually, if you send email to this account, it will \\nactually let us get back to you maximally quickly with answers to your questions.  \\nIf you're asking questions about homework probl ems, please say in the subject line which \\nassignment and which question the email refers to, since that will also help us to route \\nyour question to the appropriate TA or to me  appropriately and get the response back to \\nyou quickly.  \\nLet's see. Skipping ahead \u2014 let's see \u2014 for homework, one midterm, one open and term \\nproject. Notice on the honor code. So one thi ng that I think will help you to succeed and \\ndo well in this class and even help you to enjoy this cla ss more is if you form a study \\ngroup.  \\nSo start looking around where you' re sitting now or at the end of class today, mingle a \\nlittle bit and get to know your classmates. I strongly encourage you to form study groups \\nand sort of have a group of people to study with and have a group of your fellow students \\nto talk over these concepts with. You can also  post on the class news group if you want to \\nuse that to try to form a study group.  \\nBut some of the problems sets in this cla ss are reasonably difficult.  People that have \\ntaken the class before may tell you they were very difficult. And just I bet it would be \\nmore fun for you, and you'd probably have a be tter learning experience if you form a\""]}, "execution_count": 34, "metadata": {}, "output_type": "execute_result"}], "source": ["docs[0].page_content"]}, {"cell_type": "markdown", "id": "1edb21d8", "metadata": {}, "source": ["\u5982\u679c\u6211\u4eec\u67e5\u770b\u7b2c\u4e00\u4e2a\u6587\u6863\u7684\u5185\u5bb9\uff0c\u6211\u4eec\u53ef\u4ee5\u770b\u5230\u5b83\u5b9e\u9645\u4e0a\u662f\u5173\u4e8e\u4e00\u4e2a\u7535\u5b50\u90ae\u4ef6\u5730\u5740\uff0ccs229-qa@cs.stanford.edu\u3002\n", "\n", "\u8fd9\u662f\u6211\u4eec\u53ef\u4ee5\u5411\u5176\u53d1\u9001\u95ee\u9898\u7684\u7535\u5b50\u90ae\u4ef6\uff0c\u6240\u6709\u7684\u52a9\u6559\u90fd\u4f1a\u9605\u8bfb\u8fd9\u4e9b\u90ae\u4ef6\u3002"]}, {"cell_type": "code", "execution_count": 69, "id": "53bcc061", "metadata": {}, "outputs": [], "source": ["question_chinese = \"Matplotlib\u662f\u4ec0\u4e48\uff1f\" "]}, {"cell_type": "code", "execution_count": 70, "id": "2d2dc834", "metadata": {}, "outputs": [], "source": ["docs_chinese = vectordb_chinese.similarity_search(question_chinese,k=3)"]}, {"cell_type": "code", "execution_count": 71, "id": "eebe77e7", "metadata": {}, "outputs": [{"data": {"text/plain": ["3"]}, "execution_count": 71, "metadata": {}, "output_type": "execute_result"}], "source": ["len(docs_chinese)"]}, {"cell_type": "code", "execution_count": 72, "id": "860af154", "metadata": {}, "outputs": [{"data": {"text/plain": ["'\u7b2c\u2f00\u56de\uff1aMatplotlib \u521d\u76f8\u8bc6\\n\u2f00\u3001\u8ba4\u8bc6matplotlib\\nMatplotlib \u662f\u2f00\u4e2a Python 2D \u7ed8\u56fe\u5e93\uff0c\u80fd\u591f\u4ee5\u591a\u79cd\u786c\u62f7\u2ec9\u683c\u5f0f\u548c\u8de8\u5e73\u53f0\u7684\u4ea4\u4e92\u5f0f\u73af\u5883\u2f63\u6210\u51fa\u7248\u7269\u8d28\u91cf\u7684\u56fe\u5f62\uff0c\u2f64\u6765\u7ed8\u5236\u5404\u79cd\u9759\u6001\uff0c\u52a8\u6001\uff0c\\n\u4ea4\u4e92\u5f0f\u7684\u56fe\u8868\u3002\\nMatplotlib \u53ef\u2f64\u4e8e Python \u811a\u672c\uff0c Python \u548c IPython Shell \u3001 Jupyter notebook \uff0c Web \u5e94\u2f64\u7a0b\u5e8f\u670d\u52a1\u5668\u548c\u5404\u79cd\u56fe\u5f62\u2f64\u6237\u754c\u2faf\u2f2f\u5177\u5305\u7b49\u3002\\nMatplotlib \u662f Python \u6570\u636e\u53ef\u89c6\u5316\u5e93\u4e2d\u7684\u6cf0\u2f43\uff0c\u5b83\u5df2\u7ecf\u6210\u4e3a python \u4e2d\u516c\u8ba4\u7684\u6570\u636e\u53ef\u89c6\u5316\u2f2f\u5177\uff0c\u6211\u4eec\u6240\u719f\u77e5\u7684 pandas \u548c seaborn \u7684\u7ed8\u56fe\u63a5\u2f1d\\n\u5176\u5b9e\u4e5f\u662f\u57fa\u4e8e matplotlib \u6240\u4f5c\u7684\u2fbc\u7ea7\u5c01\u88c5\u3002\\n\u4e3a\u4e86\u5bf9matplotlib \u6709\u66f4\u597d\u7684\u7406\u89e3\uff0c\u8ba9\u6211\u4eec\u4ece\u2f00\u4e9b\u6700\u57fa\u672c\u7684\u6982\u5ff5\u5f00\u59cb\u8ba4\u8bc6\u5b83\uff0c\u518d\u9010\u6e10\u8fc7\u6e21\u5230\u2f00\u4e9b\u2fbc\u7ea7\u6280\u5de7\u4e2d\u3002\\n\u2f06\u3001\u2f00\u4e2a\u6700\u7b80\u5355\u7684\u7ed8\u56fe\u4f8b\u2f26\\nMatplotlib \u7684\u56fe\u50cf\u662f\u753b\u5728 figure \uff08\u5982 windows \uff0c jupyter \u7a97\u4f53\uff09\u4e0a\u7684\uff0c\u6bcf\u2f00\u4e2a figure \u2f1c\u5305\u542b\u4e86\u2f00\u4e2a\u6216\u591a\u4e2a axes \uff08\u2f00\u4e2a\u53ef\u4ee5\u6307\u5b9a\u5750\u6807\u7cfb\u7684\u2f26\u533a\\n\u57df\uff09\u3002\u6700\u7b80\u5355\u7684\u521b\u5efa figure \u4ee5\u53ca axes \u7684\u2f45\u5f0f\u662f\u901a\u8fc7 pyplot.subplots\u547d\u4ee4\uff0c\u521b\u5efa axes \u4ee5\u540e\uff0c\u53ef\u4ee5\u4f7f\u2f64 Axes.plot\u7ed8\u5236\u6700\u7b80\u6613\u7684\u6298\u7ebf\u56fe\u3002\\nimport matplotlib.pyplot as plt\\nimport matplotlib as mpl\\nimport numpy as np\\nfig, ax = plt.subplots()  # \u521b\u5efa\u2f00\u4e2a\u5305\u542b\u2f00\u4e2a axes \u7684 figure\\nax.plot([1, 2, 3, 4], [1, 4, 2, 3]);  # \u7ed8\u5236\u56fe\u50cf\\nTrick\uff1a \u5728jupyter notebook \u4e2d\u4f7f\u2f64 matplotlib \u65f6\u4f1a\u53d1\u73b0\uff0c\u4ee3\u7801\u8fd0\u2f8f\u540e\u2f83\u52a8\u6253\u5370\u51fa\u7c7b\u4f3c <matplotlib.lines.Line2D at 0x23155916dc0>\\n\u8fd9\u6837\u2f00\u6bb5\u8bdd\uff0c\u8fd9\u662f\u56e0\u4e3a matplotlib \u7684\u7ed8\u56fe\u4ee3\u7801\u9ed8\u8ba4\u6253\u5370\u51fa\u6700\u540e\u2f00\u4e2a\u5bf9\u8c61\u3002\u5982\u679c\u4e0d\u60f3\u663e\u793a\u8fd9\u53e5\u8bdd\uff0c\u6709\u4ee5\u4e0b\u4e09\u79cd\u2f45\u6cd5\uff0c\u5728\u672c\u7ae0\u8282\u7684\u4ee3\u7801\u793a\u4f8b\\n\u4e2d\u4f60\u80fd\u627e\u5230\u8fd9\u4e09\u79cd\u2f45\u6cd5\u7684\u4f7f\u2f64\u3002\\n\\x00. \u5728\u4ee3\u7801\u5757\u6700\u540e\u52a0\u2f00\u4e2a\u5206\u53f7 ;\\n\\x00. \u5728\u4ee3\u7801\u5757\u6700\u540e\u52a0\u2f00\u53e5 plt.show()\\n\\x00. \u5728\u7ed8\u56fe\u65f6\u5c06\u7ed8\u56fe\u5bf9\u8c61\u663e\u5f0f\u8d4b\u503c\u7ed9\u2f00\u4e2a\u53d8\u91cf\uff0c\u5982\u5c06 plt.plot([1, 2, 3, 4]) \u6539\u6210 line =plt.plot([1, 2, 3, 4])\\n\u548cMATLAB \u547d\u4ee4\u7c7b\u4f3c\uff0c\u4f60\u8fd8\u53ef\u4ee5\u901a\u8fc7\u2f00\u79cd\u66f4\u7b80\u5355\u7684\u2f45\u5f0f\u7ed8\u5236\u56fe\u50cf\uff0c matplotlib.pyplot\u2f45\u6cd5\u80fd\u591f\u76f4\u63a5\u5728\u5f53\u524d axes \u4e0a\u7ed8\u5236\u56fe\u50cf\uff0c\u5982\u679c\u2f64\u6237\\n\u672a\u6307\u5b9aaxes \uff0c matplotlib \u4f1a\u5e2e\u4f60\u2f83\u52a8\u521b\u5efa\u2f00\u4e2a\u3002\u6240\u4ee5\u4e0a\u2faf\u7684\u4f8b\u2f26\u4e5f\u53ef\u4ee5\u7b80\u5316\u4e3a\u4ee5\u4e0b\u8fd9\u2f00\u2f8f\u4ee3\u7801\u3002\\nline =plt.plot([1, 2, 3, 4], [1, 4, 2, 3]) \\n\u4e09\u3001Figure \u7684\u7ec4\u6210\\n\u73b0\u5728\u6211\u4eec\u6765\u6df1\u2f0a\u770b\u2f00\u4e0b figure \u7684\u7ec4\u6210\u3002\u901a\u8fc7\u2f00\u5f20 figure \u89e3\u5256\u56fe\uff0c\u6211\u4eec\u53ef\u4ee5\u770b\u5230\u2f00\u4e2a\u5b8c\u6574\u7684 matplotlib \u56fe\u50cf\u901a\u5e38\u4f1a\u5305\u62ec\u4ee5\u4e0b\u56db\u4e2a\u5c42\u7ea7\uff0c\u8fd9\u4e9b\\n\u5c42\u7ea7\u4e5f\u88ab\u79f0\u4e3a\u5bb9\u5668\uff08 container \uff09\uff0c\u4e0b\u2f00\u8282\u4f1a\u8be6\u7ec6\u4ecb\u7ecd\u3002\u5728 matplotlib \u7684\u4e16\u754c\u4e2d\uff0c\u6211\u4eec\u5c06\u901a\u8fc7\u5404\u79cd\u547d\u4ee4\u2f45\u6cd5\u6765\u64cd\u7eb5\u56fe\u50cf\u4e2d\u7684\u6bcf\u2f00\u4e2a\u90e8\u5206\uff0c\\n\u4ece\u2f7d\u8fbe\u5230\u6570\u636e\u53ef\u89c6\u5316\u7684\u6700\u7ec8\u6548\u679c\uff0c\u2f00\u526f\u5b8c\u6574\u7684\u56fe\u50cf\u5b9e\u9645\u4e0a\u662f\u5404\u7c7b\u2f26\u5143\u7d20\u7684\u96c6\u5408\u3002\\nFigure\uff1a\u9876\u5c42\u7ea7\uff0c\u2f64\u6765\u5bb9\u7eb3\u6240\u6709\u7ed8\u56fe\u5143\u7d20'"]}, "execution_count": 72, "metadata": {}, "output_type": "execute_result"}], "source": ["docs_chinese[0].page_content"]}, {"cell_type": "markdown", "id": "60a720a6", "metadata": {}, "source": ["\u5982\u679c\u6211\u4eec\u67e5\u770b\u7b2c\u4e00\u4e2a\u6587\u6863\u7684\u5185\u5bb9\uff0c\u6211\u4eec\u53ef\u4ee5\u770b\u5230\u5b83\u5b9e\u9645\u4e0a\u662f\u5173\u4e8eMatplotlib\u7684\u4ecb\u7ecd"]}, {"cell_type": "markdown", "id": "fba57a1d", "metadata": {}, "source": ["\u5728\u6b64\u4e4b\u540e\uff0c\u6211\u4eec\u8981\u786e\u4fdd\u901a\u8fc7\u8fd0\u884cvectordb.persist\u6765\u6301\u4e45\u5316\u5411\u91cf\u6570\u636e\u5e93\uff0c\u4ee5\u4fbf\u6211\u4eec\u5728\u672a\u6765\u7684\u8bfe\u7a0b\u4e2d\u4f7f\u7528\u3002\n", "\n", "\u8ba9\u6211\u4eec\u4fdd\u5b58\u5b83\uff0c\u4ee5\u4fbf\u4ee5\u540e\u4f7f\u7528\uff01"]}, {"cell_type": "code", "execution_count": 44, "id": "ea657123", "metadata": {"height": 30, "tags": []}, "outputs": [], "source": ["vectordb.persist()"]}, {"cell_type": "code", "execution_count": 73, "id": "9065f5b1", "metadata": {}, "outputs": [], "source": ["vectordb_chinese.persist()"]}, {"cell_type": "markdown", "id": "cefe9f6a", "metadata": {}, "source": ["## \u4e94\u3001\u5931\u8d25\u7684\u60c5\u51b5(Failure modes)"]}, {"cell_type": "markdown", "id": "089da0ca", "metadata": {}, "source": ["\u8fd9\u770b\u8d77\u6765\u5f88\u597d\uff0c\u57fa\u672c\u7684\u76f8\u4f3c\u6027\u641c\u7d22\u5f88\u5bb9\u6613\u5c31\u80fd\u8ba9\u4f60\u5b8c\u621080%\u7684\u5de5\u4f5c\u3002\n", "\n", "\u4f46\u662f\uff0c\u53ef\u80fd\u4f1a\u51fa\u73b0\u4e00\u4e9b\u76f8\u4f3c\u6027\u641c\u7d22\u5931\u8d25\u7684\u60c5\u51b5\u3002\n", "\n", "\u8fd9\u91cc\u6709\u4e00\u4e9b\u53ef\u80fd\u51fa\u73b0\u7684\u8fb9\u7f18\u60c5\u51b5\u2014\u2014\u6211\u4eec\u5c06\u5728\u4e0b\u4e00\u5802\u8bfe\u4e2d\u4fee\u590d\u5b83\u4eec\u3002"]}, {"cell_type": "code", "execution_count": 36, "id": "df0f29f9", "metadata": {"height": 30, "tags": []}, "outputs": [], "source": ["question = \"what did they say about matlab?\"  # \"\u4ed6\u4eec\u5bf9 matlab \u6709\u4f55\u8bc4\u4ef7\uff1f\""]}, {"cell_type": "code", "execution_count": 37, "id": "02be97df", "metadata": {"height": 30, "tags": []}, "outputs": [], "source": ["docs = vectordb.similarity_search(question,k=5)"]}, {"cell_type": "code", "execution_count": 51, "id": "34359d7a", "metadata": {}, "outputs": [], "source": ["question_chinese = \"Matplotlib\u662f\u4ec0\u4e48\uff1f\""]}, {"cell_type": "code", "execution_count": 52, "id": "c0546006", "metadata": {}, "outputs": [], "source": ["docs_chinese = vectordb_chinese.similarity_search(question_chinese,k=5)"]}, {"cell_type": "markdown", "id": "2a9f579e", "metadata": {}, "source": ["\u8bf7\u6ce8\u610f\uff0c\u6211\u4eec\u5f97\u5230\u4e86\u91cd\u590d\u7684\u5757\uff08\u56e0\u4e3a\u7d22\u5f15\u4e2d\u6709\u91cd\u590d\u7684 `MachineLearning-Lecture01.pdf`\u3001`\u7b2c\u4e00\u56de\uff1aMatplotlib\u521d\u76f8\u8bc6.pdf`\uff09\u3002\n", "\n", "\u8bed\u4e49\u641c\u7d22\u83b7\u53d6\u6240\u6709\u76f8\u4f3c\u7684\u6587\u6863\uff0c\u4f46\u4e0d\u5f3a\u5236\u591a\u6837\u6027\u3002\n", "\n", "`docs[0]` \u548c `docs[1]` \u662f\u5b8c\u5168\u76f8\u540c\u7684\uff0c\u4ee5\u53ca`docs_chinese[0]` \u548c `docs_chinese[1]` \u662f\u5b8c\u5168\u76f8\u540c\u7684\u3002"]}, {"cell_type": "code", "execution_count": 38, "id": "d39f6954", "metadata": {"height": 30, "tags": []}, "outputs": [{"data": {"text/plain": ["Document(page_content='those homeworks will be done in either MATLA B or in Octave, which is sort of \u2014 I \\nknow some people call it a free ve rsion of MATLAB, which it sort  of is, sort of isn\\'t.  \\nSo I guess for those of you that haven\\'t s een MATLAB before, and I know most of you \\nhave, MATLAB is I guess part of the programming language that makes it very easy to write codes using matrices, to write code for numerical routines, to move data around, to \\nplot data. And it\\'s sort of an extremely easy to  learn tool to use for implementing a lot of \\nlearning algorithms.  \\nAnd in case some of you want to work on your  own home computer or something if you \\ndon\\'t have a MATLAB license, for the purposes of  this class, there\\'s also \u2014 [inaudible] \\nwrite that down [inaudible] MATLAB \u2014 there\\' s also a software package called Octave \\nthat you can download for free off the Internet. And it has somewhat fewer features than MATLAB, but it\\'s free, and for the purposes of  this class, it will work for just about \\neverything.  \\nSo actually I, well, so yeah, just a side comment for those of you that haven\\'t seen \\nMATLAB before I guess, once a colleague of mine at a different university, not at \\nStanford, actually teaches another machine l earning course. He\\'s taught it for many years. \\nSo one day, he was in his office, and an old student of his from, lik e, ten years ago came \\ninto his office and he said, \"Oh, professo r, professor, thank you so much for your', metadata={'source': 'docs/cs229_lectures/MachineLearning-Lecture01.pdf', 'page': 8})"]}, "execution_count": 38, "metadata": {}, "output_type": "execute_result"}], "source": ["docs[0]"]}, {"cell_type": "code", "execution_count": 39, "id": "e04e3d1b", "metadata": {"height": 30, "tags": []}, "outputs": [{"data": {"text/plain": ["Document(page_content='those homeworks will be done in either MATLA B or in Octave, which is sort of \u2014 I \\nknow some people call it a free ve rsion of MATLAB, which it sort  of is, sort of isn\\'t.  \\nSo I guess for those of you that haven\\'t s een MATLAB before, and I know most of you \\nhave, MATLAB is I guess part of the programming language that makes it very easy to write codes using matrices, to write code for numerical routines, to move data around, to \\nplot data. And it\\'s sort of an extremely easy to  learn tool to use for implementing a lot of \\nlearning algorithms.  \\nAnd in case some of you want to work on your  own home computer or something if you \\ndon\\'t have a MATLAB license, for the purposes of  this class, there\\'s also \u2014 [inaudible] \\nwrite that down [inaudible] MATLAB \u2014 there\\' s also a software package called Octave \\nthat you can download for free off the Internet. And it has somewhat fewer features than MATLAB, but it\\'s free, and for the purposes of  this class, it will work for just about \\neverything.  \\nSo actually I, well, so yeah, just a side comment for those of you that haven\\'t seen \\nMATLAB before I guess, once a colleague of mine at a different university, not at \\nStanford, actually teaches another machine l earning course. He\\'s taught it for many years. \\nSo one day, he was in his office, and an old student of his from, lik e, ten years ago came \\ninto his office and he said, \"Oh, professo r, professor, thank you so much for your', metadata={'source': 'docs/cs229_lectures/MachineLearning-Lecture01.pdf', 'page': 8})"]}, "execution_count": 39, "metadata": {}, "output_type": "execute_result"}], "source": ["docs[1]"]}, {"cell_type": "code", "execution_count": 53, "id": "092fd2f5", "metadata": {}, "outputs": [{"data": {"text/plain": ["Document(page_content='\u7b2c\u2f00\u56de\uff1aMatplotlib \u521d\u76f8\u8bc6\\n\u2f00\u3001\u8ba4\u8bc6matplotlib\\nMatplotlib \u662f\u2f00\u4e2a Python 2D \u7ed8\u56fe\u5e93\uff0c\u80fd\u591f\u4ee5\u591a\u79cd\u786c\u62f7\u2ec9\u683c\u5f0f\u548c\u8de8\u5e73\u53f0\u7684\u4ea4\u4e92\u5f0f\u73af\u5883\u2f63\u6210\u51fa\u7248\u7269\u8d28\u91cf\u7684\u56fe\u5f62\uff0c\u2f64\u6765\u7ed8\u5236\u5404\u79cd\u9759\u6001\uff0c\u52a8\u6001\uff0c\\n\u4ea4\u4e92\u5f0f\u7684\u56fe\u8868\u3002\\nMatplotlib \u53ef\u2f64\u4e8e Python \u811a\u672c\uff0c Python \u548c IPython Shell \u3001 Jupyter notebook \uff0c Web \u5e94\u2f64\u7a0b\u5e8f\u670d\u52a1\u5668\u548c\u5404\u79cd\u56fe\u5f62\u2f64\u6237\u754c\u2faf\u2f2f\u5177\u5305\u7b49\u3002\\nMatplotlib \u662f Python \u6570\u636e\u53ef\u89c6\u5316\u5e93\u4e2d\u7684\u6cf0\u2f43\uff0c\u5b83\u5df2\u7ecf\u6210\u4e3a python \u4e2d\u516c\u8ba4\u7684\u6570\u636e\u53ef\u89c6\u5316\u2f2f\u5177\uff0c\u6211\u4eec\u6240\u719f\u77e5\u7684 pandas \u548c seaborn \u7684\u7ed8\u56fe\u63a5\u2f1d\\n\u5176\u5b9e\u4e5f\u662f\u57fa\u4e8e matplotlib \u6240\u4f5c\u7684\u2fbc\u7ea7\u5c01\u88c5\u3002\\n\u4e3a\u4e86\u5bf9matplotlib \u6709\u66f4\u597d\u7684\u7406\u89e3\uff0c\u8ba9\u6211\u4eec\u4ece\u2f00\u4e9b\u6700\u57fa\u672c\u7684\u6982\u5ff5\u5f00\u59cb\u8ba4\u8bc6\u5b83\uff0c\u518d\u9010\u6e10\u8fc7\u6e21\u5230\u2f00\u4e9b\u2fbc\u7ea7\u6280\u5de7\u4e2d\u3002\\n\u2f06\u3001\u2f00\u4e2a\u6700\u7b80\u5355\u7684\u7ed8\u56fe\u4f8b\u2f26\\nMatplotlib \u7684\u56fe\u50cf\u662f\u753b\u5728 figure \uff08\u5982 windows \uff0c jupyter \u7a97\u4f53\uff09\u4e0a\u7684\uff0c\u6bcf\u2f00\u4e2a figure \u2f1c\u5305\u542b\u4e86\u2f00\u4e2a\u6216\u591a\u4e2a axes \uff08\u2f00\u4e2a\u53ef\u4ee5\u6307\u5b9a\u5750\u6807\u7cfb\u7684\u2f26\u533a\\n\u57df\uff09\u3002\u6700\u7b80\u5355\u7684\u521b\u5efa figure \u4ee5\u53ca axes \u7684\u2f45\u5f0f\u662f\u901a\u8fc7 pyplot.subplots\u547d\u4ee4\uff0c\u521b\u5efa axes \u4ee5\u540e\uff0c\u53ef\u4ee5\u4f7f\u2f64 Axes.plot\u7ed8\u5236\u6700\u7b80\u6613\u7684\u6298\u7ebf\u56fe\u3002\\nimport matplotlib.pyplot as plt\\nimport matplotlib as mpl\\nimport numpy as np\\nfig, ax = plt.subplots()  # \u521b\u5efa\u2f00\u4e2a\u5305\u542b\u2f00\u4e2a axes \u7684 figure\\nax.plot([1, 2, 3, 4], [1, 4, 2, 3]);  # \u7ed8\u5236\u56fe\u50cf\\nTrick\uff1a \u5728jupyter notebook \u4e2d\u4f7f\u2f64 matplotlib \u65f6\u4f1a\u53d1\u73b0\uff0c\u4ee3\u7801\u8fd0\u2f8f\u540e\u2f83\u52a8\u6253\u5370\u51fa\u7c7b\u4f3c <matplotlib.lines.Line2D at 0x23155916dc0>\\n\u8fd9\u6837\u2f00\u6bb5\u8bdd\uff0c\u8fd9\u662f\u56e0\u4e3a matplotlib \u7684\u7ed8\u56fe\u4ee3\u7801\u9ed8\u8ba4\u6253\u5370\u51fa\u6700\u540e\u2f00\u4e2a\u5bf9\u8c61\u3002\u5982\u679c\u4e0d\u60f3\u663e\u793a\u8fd9\u53e5\u8bdd\uff0c\u6709\u4ee5\u4e0b\u4e09\u79cd\u2f45\u6cd5\uff0c\u5728\u672c\u7ae0\u8282\u7684\u4ee3\u7801\u793a\u4f8b\\n\u4e2d\u4f60\u80fd\u627e\u5230\u8fd9\u4e09\u79cd\u2f45\u6cd5\u7684\u4f7f\u2f64\u3002\\n\\x00. \u5728\u4ee3\u7801\u5757\u6700\u540e\u52a0\u2f00\u4e2a\u5206\u53f7 ;\\n\\x00. \u5728\u4ee3\u7801\u5757\u6700\u540e\u52a0\u2f00\u53e5 plt.show()\\n\\x00. \u5728\u7ed8\u56fe\u65f6\u5c06\u7ed8\u56fe\u5bf9\u8c61\u663e\u5f0f\u8d4b\u503c\u7ed9\u2f00\u4e2a\u53d8\u91cf\uff0c\u5982\u5c06 plt.plot([1, 2, 3, 4]) \u6539\u6210 line =plt.plot([1, 2, 3, 4])\\n\u548cMATLAB \u547d\u4ee4\u7c7b\u4f3c\uff0c\u4f60\u8fd8\u53ef\u4ee5\u901a\u8fc7\u2f00\u79cd\u66f4\u7b80\u5355\u7684\u2f45\u5f0f\u7ed8\u5236\u56fe\u50cf\uff0c matplotlib.pyplot\u2f45\u6cd5\u80fd\u591f\u76f4\u63a5\u5728\u5f53\u524d axes \u4e0a\u7ed8\u5236\u56fe\u50cf\uff0c\u5982\u679c\u2f64\u6237\\n\u672a\u6307\u5b9aaxes \uff0c matplotlib \u4f1a\u5e2e\u4f60\u2f83\u52a8\u521b\u5efa\u2f00\u4e2a\u3002\u6240\u4ee5\u4e0a\u2faf\u7684\u4f8b\u2f26\u4e5f\u53ef\u4ee5\u7b80\u5316\u4e3a\u4ee5\u4e0b\u8fd9\u2f00\u2f8f\u4ee3\u7801\u3002\\nline =plt.plot([1, 2, 3, 4], [1, 4, 2, 3]) \\n\u4e09\u3001Figure \u7684\u7ec4\u6210\\n\u73b0\u5728\u6211\u4eec\u6765\u6df1\u2f0a\u770b\u2f00\u4e0b figure \u7684\u7ec4\u6210\u3002\u901a\u8fc7\u2f00\u5f20 figure \u89e3\u5256\u56fe\uff0c\u6211\u4eec\u53ef\u4ee5\u770b\u5230\u2f00\u4e2a\u5b8c\u6574\u7684 matplotlib \u56fe\u50cf\u901a\u5e38\u4f1a\u5305\u62ec\u4ee5\u4e0b\u56db\u4e2a\u5c42\u7ea7\uff0c\u8fd9\u4e9b\\n\u5c42\u7ea7\u4e5f\u88ab\u79f0\u4e3a\u5bb9\u5668\uff08 container \uff09\uff0c\u4e0b\u2f00\u8282\u4f1a\u8be6\u7ec6\u4ecb\u7ecd\u3002\u5728 matplotlib \u7684\u4e16\u754c\u4e2d\uff0c\u6211\u4eec\u5c06\u901a\u8fc7\u5404\u79cd\u547d\u4ee4\u2f45\u6cd5\u6765\u64cd\u7eb5\u56fe\u50cf\u4e2d\u7684\u6bcf\u2f00\u4e2a\u90e8\u5206\uff0c\\n\u4ece\u2f7d\u8fbe\u5230\u6570\u636e\u53ef\u89c6\u5316\u7684\u6700\u7ec8\u6548\u679c\uff0c\u2f00\u526f\u5b8c\u6574\u7684\u56fe\u50cf\u5b9e\u9645\u4e0a\u662f\u5404\u7c7b\u2f26\u5143\u7d20\u7684\u96c6\u5408\u3002\\nFigure\uff1a\u9876\u5c42\u7ea7\uff0c\u2f64\u6765\u5bb9\u7eb3\u6240\u6709\u7ed8\u56fe\u5143\u7d20\\uf03a Contents \\n\u2f00\u3001\u8ba4\u8bc6matplotlib\\n\u2f06\u3001\u2f00\u4e2a\u6700\u7b80\u5355\u7684\u7ed8\u56fe\u4f8b\u2f26\\n\u4e09\u3001Figure \u7684\u7ec4\u6210', metadata={'source': 'docs/matplotlib/\u7b2c\u4e00\u56de\uff1aMatplotlib\u521d\u76f8\u8bc6.pdf', 'page': 0})"]}, "execution_count": 53, "metadata": {}, "output_type": "execute_result"}], "source": ["docs_chinese[0]"]}, {"cell_type": "code", "execution_count": 54, "id": "270f0a10", "metadata": {}, "outputs": [{"data": {"text/plain": ["Document(page_content='\u7b2c\u2f00\u56de\uff1aMatplotlib \u521d\u76f8\u8bc6\\n\u2f00\u3001\u8ba4\u8bc6matplotlib\\nMatplotlib \u662f\u2f00\u4e2a Python 2D \u7ed8\u56fe\u5e93\uff0c\u80fd\u591f\u4ee5\u591a\u79cd\u786c\u62f7\u2ec9\u683c\u5f0f\u548c\u8de8\u5e73\u53f0\u7684\u4ea4\u4e92\u5f0f\u73af\u5883\u2f63\u6210\u51fa\u7248\u7269\u8d28\u91cf\u7684\u56fe\u5f62\uff0c\u2f64\u6765\u7ed8\u5236\u5404\u79cd\u9759\u6001\uff0c\u52a8\u6001\uff0c\\n\u4ea4\u4e92\u5f0f\u7684\u56fe\u8868\u3002\\nMatplotlib \u53ef\u2f64\u4e8e Python \u811a\u672c\uff0c Python \u548c IPython Shell \u3001 Jupyter notebook \uff0c Web \u5e94\u2f64\u7a0b\u5e8f\u670d\u52a1\u5668\u548c\u5404\u79cd\u56fe\u5f62\u2f64\u6237\u754c\u2faf\u2f2f\u5177\u5305\u7b49\u3002\\nMatplotlib \u662f Python \u6570\u636e\u53ef\u89c6\u5316\u5e93\u4e2d\u7684\u6cf0\u2f43\uff0c\u5b83\u5df2\u7ecf\u6210\u4e3a python \u4e2d\u516c\u8ba4\u7684\u6570\u636e\u53ef\u89c6\u5316\u2f2f\u5177\uff0c\u6211\u4eec\u6240\u719f\u77e5\u7684 pandas \u548c seaborn \u7684\u7ed8\u56fe\u63a5\u2f1d\\n\u5176\u5b9e\u4e5f\u662f\u57fa\u4e8e matplotlib \u6240\u4f5c\u7684\u2fbc\u7ea7\u5c01\u88c5\u3002\\n\u4e3a\u4e86\u5bf9matplotlib \u6709\u66f4\u597d\u7684\u7406\u89e3\uff0c\u8ba9\u6211\u4eec\u4ece\u2f00\u4e9b\u6700\u57fa\u672c\u7684\u6982\u5ff5\u5f00\u59cb\u8ba4\u8bc6\u5b83\uff0c\u518d\u9010\u6e10\u8fc7\u6e21\u5230\u2f00\u4e9b\u2fbc\u7ea7\u6280\u5de7\u4e2d\u3002\\n\u2f06\u3001\u2f00\u4e2a\u6700\u7b80\u5355\u7684\u7ed8\u56fe\u4f8b\u2f26\\nMatplotlib \u7684\u56fe\u50cf\u662f\u753b\u5728 figure \uff08\u5982 windows \uff0c jupyter \u7a97\u4f53\uff09\u4e0a\u7684\uff0c\u6bcf\u2f00\u4e2a figure \u2f1c\u5305\u542b\u4e86\u2f00\u4e2a\u6216\u591a\u4e2a axes \uff08\u2f00\u4e2a\u53ef\u4ee5\u6307\u5b9a\u5750\u6807\u7cfb\u7684\u2f26\u533a\\n\u57df\uff09\u3002\u6700\u7b80\u5355\u7684\u521b\u5efa figure \u4ee5\u53ca axes \u7684\u2f45\u5f0f\u662f\u901a\u8fc7 pyplot.subplots\u547d\u4ee4\uff0c\u521b\u5efa axes \u4ee5\u540e\uff0c\u53ef\u4ee5\u4f7f\u2f64 Axes.plot\u7ed8\u5236\u6700\u7b80\u6613\u7684\u6298\u7ebf\u56fe\u3002\\nimport matplotlib.pyplot as plt\\nimport matplotlib as mpl\\nimport numpy as np\\nfig, ax = plt.subplots()  # \u521b\u5efa\u2f00\u4e2a\u5305\u542b\u2f00\u4e2a axes \u7684 figure\\nax.plot([1, 2, 3, 4], [1, 4, 2, 3]);  # \u7ed8\u5236\u56fe\u50cf\\nTrick\uff1a \u5728jupyter notebook \u4e2d\u4f7f\u2f64 matplotlib \u65f6\u4f1a\u53d1\u73b0\uff0c\u4ee3\u7801\u8fd0\u2f8f\u540e\u2f83\u52a8\u6253\u5370\u51fa\u7c7b\u4f3c <matplotlib.lines.Line2D at 0x23155916dc0>\\n\u8fd9\u6837\u2f00\u6bb5\u8bdd\uff0c\u8fd9\u662f\u56e0\u4e3a matplotlib \u7684\u7ed8\u56fe\u4ee3\u7801\u9ed8\u8ba4\u6253\u5370\u51fa\u6700\u540e\u2f00\u4e2a\u5bf9\u8c61\u3002\u5982\u679c\u4e0d\u60f3\u663e\u793a\u8fd9\u53e5\u8bdd\uff0c\u6709\u4ee5\u4e0b\u4e09\u79cd\u2f45\u6cd5\uff0c\u5728\u672c\u7ae0\u8282\u7684\u4ee3\u7801\u793a\u4f8b\\n\u4e2d\u4f60\u80fd\u627e\u5230\u8fd9\u4e09\u79cd\u2f45\u6cd5\u7684\u4f7f\u2f64\u3002\\n\\x00. \u5728\u4ee3\u7801\u5757\u6700\u540e\u52a0\u2f00\u4e2a\u5206\u53f7 ;\\n\\x00. \u5728\u4ee3\u7801\u5757\u6700\u540e\u52a0\u2f00\u53e5 plt.show()\\n\\x00. \u5728\u7ed8\u56fe\u65f6\u5c06\u7ed8\u56fe\u5bf9\u8c61\u663e\u5f0f\u8d4b\u503c\u7ed9\u2f00\u4e2a\u53d8\u91cf\uff0c\u5982\u5c06 plt.plot([1, 2, 3, 4]) \u6539\u6210 line =plt.plot([1, 2, 3, 4])\\n\u548cMATLAB \u547d\u4ee4\u7c7b\u4f3c\uff0c\u4f60\u8fd8\u53ef\u4ee5\u901a\u8fc7\u2f00\u79cd\u66f4\u7b80\u5355\u7684\u2f45\u5f0f\u7ed8\u5236\u56fe\u50cf\uff0c matplotlib.pyplot\u2f45\u6cd5\u80fd\u591f\u76f4\u63a5\u5728\u5f53\u524d axes \u4e0a\u7ed8\u5236\u56fe\u50cf\uff0c\u5982\u679c\u2f64\u6237\\n\u672a\u6307\u5b9aaxes \uff0c matplotlib \u4f1a\u5e2e\u4f60\u2f83\u52a8\u521b\u5efa\u2f00\u4e2a\u3002\u6240\u4ee5\u4e0a\u2faf\u7684\u4f8b\u2f26\u4e5f\u53ef\u4ee5\u7b80\u5316\u4e3a\u4ee5\u4e0b\u8fd9\u2f00\u2f8f\u4ee3\u7801\u3002\\nline =plt.plot([1, 2, 3, 4], [1, 4, 2, 3]) \\n\u4e09\u3001Figure \u7684\u7ec4\u6210\\n\u73b0\u5728\u6211\u4eec\u6765\u6df1\u2f0a\u770b\u2f00\u4e0b figure \u7684\u7ec4\u6210\u3002\u901a\u8fc7\u2f00\u5f20 figure \u89e3\u5256\u56fe\uff0c\u6211\u4eec\u53ef\u4ee5\u770b\u5230\u2f00\u4e2a\u5b8c\u6574\u7684 matplotlib \u56fe\u50cf\u901a\u5e38\u4f1a\u5305\u62ec\u4ee5\u4e0b\u56db\u4e2a\u5c42\u7ea7\uff0c\u8fd9\u4e9b\\n\u5c42\u7ea7\u4e5f\u88ab\u79f0\u4e3a\u5bb9\u5668\uff08 container \uff09\uff0c\u4e0b\u2f00\u8282\u4f1a\u8be6\u7ec6\u4ecb\u7ecd\u3002\u5728 matplotlib \u7684\u4e16\u754c\u4e2d\uff0c\u6211\u4eec\u5c06\u901a\u8fc7\u5404\u79cd\u547d\u4ee4\u2f45\u6cd5\u6765\u64cd\u7eb5\u56fe\u50cf\u4e2d\u7684\u6bcf\u2f00\u4e2a\u90e8\u5206\uff0c\\n\u4ece\u2f7d\u8fbe\u5230\u6570\u636e\u53ef\u89c6\u5316\u7684\u6700\u7ec8\u6548\u679c\uff0c\u2f00\u526f\u5b8c\u6574\u7684\u56fe\u50cf\u5b9e\u9645\u4e0a\u662f\u5404\u7c7b\u2f26\u5143\u7d20\u7684\u96c6\u5408\u3002\\nFigure\uff1a\u9876\u5c42\u7ea7\uff0c\u2f64\u6765\u5bb9\u7eb3\u6240\u6709\u7ed8\u56fe\u5143\u7d20\\uf03a Contents \\n\u2f00\u3001\u8ba4\u8bc6matplotlib\\n\u2f06\u3001\u2f00\u4e2a\u6700\u7b80\u5355\u7684\u7ed8\u56fe\u4f8b\u2f26\\n\u4e09\u3001Figure \u7684\u7ec4\u6210', metadata={'source': 'docs/matplotlib/\u7b2c\u4e00\u56de\uff1aMatplotlib\u521d\u76f8\u8bc6.pdf', 'page': 0})"]}, "execution_count": 54, "metadata": {}, "output_type": "execute_result"}], "source": ["docs_chinese[1]"]}, {"cell_type": "markdown", "id": "3a3a915d", "metadata": {}, "source": ["\u6211\u4eec\u53ef\u4ee5\u770b\u5230\u4e00\u79cd\u65b0\u7684\u5931\u8d25\u7684\u60c5\u51b5\u3002\n", "\n", "\u4e0b\u9762\u7684\u95ee\u9898\u8be2\u95ee\u4e86\u5173\u4e8e\u7b2c\u4e09\u8bb2\u7684\u95ee\u9898\uff0c\u4f46\u4e5f\u5305\u62ec\u4e86\u6765\u81ea\u5176\u4ed6\u8bb2\u7684\u7ed3\u679c\u3002"]}, {"cell_type": "code", "execution_count": 40, "id": "b19135e5", "metadata": {"height": 45, "tags": []}, "outputs": [], "source": ["question = \"what did they say about regression in the third lecture?\"  # \"\u4ed6\u4eec\u5728\u7b2c\u4e09\u8bb2\u4e2d\u662f\u600e\u4e48\u8c08\u8bba\u56de\u5f52\u7684\uff1f\""]}, {"cell_type": "code", "execution_count": 41, "id": "d434942c", "metadata": {"height": 30, "tags": []}, "outputs": [], "source": ["docs = vectordb.similarity_search(question,k=5)"]}, {"cell_type": "code", "execution_count": 42, "id": "c2c5df59", "metadata": {"height": 47, "tags": []}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["{'source': 'docs/cs229_lectures/MachineLearning-Lecture03.pdf', 'page': 0}\n", "{'source': 'docs/cs229_lectures/MachineLearning-Lecture02.pdf', 'page': 2}\n", "{'source': 'docs/cs229_lectures/MachineLearning-Lecture03.pdf', 'page': 14}\n", "{'source': 'docs/cs229_lectures/MachineLearning-Lecture03.pdf', 'page': 4}\n", "{'source': 'docs/cs229_lectures/MachineLearning-Lecture02.pdf', 'page': 0}\n"]}], "source": ["for doc in docs:\n", "    print(doc.metadata)"]}, {"cell_type": "code", "execution_count": 43, "id": "8e6cb50c", "metadata": {"height": 30, "tags": []}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["really makes a difference between a good so lution and amazing solution. And to give \n", "everyone to just how we do points assignments, or what is it that causes a solution to get \n", "full marks, or just how to write amazing so lutions. Becoming a grad er is usually a good \n", "way to do that.  \n", "Graders are paid positions and you also get free  food, and it's usually fun for us to sort of \n", "hang out for an evening and grade all the a ssignments. Okay, so I will send email. So \n", "don't email me yet if you want to be a grader. I'll send email to the entire class later with \n", "the administrative details and to solicit app lications. So you can email us back then, to \n", "apply, if you'd be interested in being a grader.  \n", "Okay, any questions about that? All right, okay, so let's get started with today's material. \n", "So welcome back to the second lecture. What  I want to do today is talk about linear \n", "regression, gradient descent, and the norma l equations. And I should also say, lecture \n", "notes have been posted online and so if some  of the math I go over today, I go over rather \n", "quickly, if you want to see every equation wr itten out and work through the details more \n", "slowly yourself, go to the course homepage and download detailed lecture notes that \n", "pretty much describe all the mathematical, te chnical contents I'm going to go over today.  \n", "Today, I'm also going to delve into a fair amount  \u2013 some amount of linear algebra, and so\n"]}], "source": ["print(docs[4].page_content)"]}, {"cell_type": "code", "execution_count": 74, "id": "e0a7e9c8", "metadata": {}, "outputs": [], "source": ["question_chinese = \"\u4ed6\u4eec\u5728\u7b2c\u4e8c\u8bb2\u4e2d\u5bf9Figure\u8bf4\u4e86\u4e9b\u4ec0\u4e48\uff1f\"  "]}, {"cell_type": "code", "execution_count": 75, "id": "62c0bfc6", "metadata": {}, "outputs": [], "source": ["docs_chinese = vectordb_chinese.similarity_search(question_chinese,k=5)"]}, {"cell_type": "code", "execution_count": 76, "id": "26bd586d", "metadata": {}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["{'source': 'docs/matplotlib/\u7b2c\u4e00\u56de\uff1aMatplotlib\u521d\u76f8\u8bc6.pdf', 'page': 0}\n", "{'source': 'docs/matplotlib/\u7b2c\u4e00\u56de\uff1aMatplotlib\u521d\u76f8\u8bc6.pdf', 'page': 0}\n", "{'source': 'docs/matplotlib/\u7b2c\u4e8c\u56de\uff1a\u827a\u672f\u753b\u7b14\u89c1\u4e7e\u5764.pdf', 'page': 9}\n", "{'source': 'docs/matplotlib/\u7b2c\u4e8c\u56de\uff1a\u827a\u672f\u753b\u7b14\u89c1\u4e7e\u5764.pdf', 'page': 10}\n", "{'source': 'docs/matplotlib/\u7b2c\u4e00\u56de\uff1aMatplotlib\u521d\u76f8\u8bc6.pdf', 'page': 1}\n"]}], "source": ["for doc_chinese in docs_chinese:\n", "    print(doc_chinese.metadata)"]}, {"cell_type": "code", "execution_count": 77, "id": "71b6bbf3", "metadata": {}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["\u4e09\u3001\u5bf9\u8c61\u5bb9\u5668  - Object container\n", "\u5bb9\u5668\u4f1a\u5305\u542b\u2f00\u4e9b primitives\uff0c\u5e76\u4e14\u5bb9\u5668\u8fd8\u6709\u5b83\u2f83\u8eab\u7684\u5c5e\u6027\u3002\n", "\u2f50\u5982Axes Artist\uff0c\u5b83\u662f\u2f00\u79cd\u5bb9\u5668\uff0c\u5b83\u5305\u542b\u4e86\u5f88\u591a primitives\uff0c\u2f50\u5982Line2D\uff0cText\uff1b\u540c\u65f6\uff0c\u5b83\u4e5f\u6709\u2f83\u8eab\u7684\u5c5e\u6027\uff0c\u2f50\u5982 xscal\uff0c\u2f64\u6765\u63a7\u5236\n", "X\u8f74\u662flinear\u8fd8\u662flog\u7684\u3002\n", "1. Figure\u5bb9\u5668\n", "matplotlib.figure.Figure\u662fArtist\u6700\u9876\u5c42\u7684 container\u5bf9\u8c61\u5bb9\u5668\uff0c\u5b83\u5305\u542b\u4e86\u56fe\u8868\u4e2d\u7684\u6240\u6709\u5143\u7d20\u3002\u2f00\u5f20\u56fe\u8868\u7684\u80cc\u666f\u5c31\u662f\u5728\n", "Figure.patch\u7684\u2f00\u4e2a\u77e9\u5f62 Rectangle\u3002\n", "\u5f53\u6211\u4eec\u5411\u56fe\u8868\u6dfb\u52a0 Figure.add_subplot()\u6216\u8005Figure.add_axes()\u5143\u7d20\u65f6\uff0c\u8fd9\u4e9b\u90fd\u4f1a\u88ab\u6dfb\u52a0\u5230 Figure.axes\u5217\u8868\u4e2d\u3002\n", "fig = plt.figure()\n", "ax1 = fig.add_subplot(211) # \u4f5c\u2f00\u5e452*1 \u7684\u56fe\uff0c\u9009\u62e9\u7b2c 1 \u4e2a\u2f26\u56fe\n", "ax2 = fig.add_axes([0.1, 0.1, 0.7, 0.3]) # \u4f4d\u7f6e\u53c2\u6570\uff0c\u56db\u4e2a\u6570\u5206\u522b\u4ee3\u8868\u4e86\n", "(left,bottom,width,height)\n", "print(ax1) \n", "print(fig.axes) # fig.axes \u4e2d\u5305\u542b\u4e86 subplot \u548c axes \u4e24\u4e2a\u5b9e\u4f8b , \u521a\u521a\u6dfb\u52a0\u7684\n", "AxesSubplot(0.125,0.536818;0.775x0.343182)\n", "[<AxesSubplot:>, <Axes:>]\n", "\u7531\u4e8eFigure\u7ef4\u6301\u4e86current axes\uff0c\u56e0\u6b64\u4f60\u4e0d\u5e94\u8be5\u2f3f\u52a8\u7684\u4ece Figure.axes\u5217\u8868\u4e2d\u6dfb\u52a0\u5220\u9664\u5143\u7d20\uff0c\u2f7d\u662f\u8981\u901a\u8fc7 Figure.add_subplot()\u3001\n", "Figure.add_axes()\u6765\u6dfb\u52a0\u5143\u7d20\uff0c\u901a\u8fc7 Figure.delaxes()\u6765\u5220\u9664\u5143\u7d20\u3002\u4f46\u662f\u4f60\u53ef\u4ee5\u8fed\u4ee3\u6216\u8005\u8bbf\u95ee Figure.axes\u4e2d\u7684Axes\uff0c\u7136\u540e\u4fee\u6539\u8fd9\u4e2a\n", "Axes\u7684\u5c5e\u6027\u3002\n", "\u2f50\u5982\u4e0b\u2faf\u7684\u904d\u5386 axes \u2fa5\u7684\u5185\u5bb9\uff0c\u5e76\u4e14\u6dfb\u52a0\u2f79\u683c\u7ebf\uff1a\n", "fig = plt.figure()\n", "ax1 = fig.add_subplot(211)\n", "for ax in fig.axes:\n", "    ax.grid(True)\n", "Figure\u4e5f\u6709\u5b83\u2f83\u2f30\u7684 text\u3001line \u3001 patch \u3001 image\u3002\u4f60\u53ef\u4ee5\u76f4\u63a5\u901a\u8fc7 add primitive\u8bed\u53e5\u76f4\u63a5\u6dfb\u52a0\u3002\u4f46\u662f\u6ce8\u610f Figure\u9ed8\u8ba4\u7684\u5750\u6807\u7cfb\u662f\u4ee5\u50cf\n", "\u7d20\u4e3a\u5355\u4f4d\uff0c\u4f60\u53ef\u80fd\u9700\u8981\u8f6c\u6362\u6210 figure \u5750\u6807\u7cfb\uff1a (0,0) \u8868\u793a\u5de6\u4e0b\u70b9\uff0c (1,1) \u8868\u793a\u53f3\u4e0a\u70b9\u3002\n", "Figure\u5bb9\u5668\u7684\u5e38\u2ec5\u5c5e\u6027\uff1a\n", "Figure.patch\u5c5e\u6027\uff1aFigure \u7684\u80cc\u666f\u77e9\u5f62\n", "Figure.axes\u5c5e\u6027\uff1a\u2f00\u4e2a Axes \u5b9e\u4f8b\u7684\u5217\u8868\uff08\u5305\u62ec Subplot)\n", "Figure.images\u5c5e\u6027\uff1a\u2f00\u4e2a FigureImages patch \u5217\u8868\n", "Figure.lines\u5c5e\u6027\uff1a\u2f00\u4e2a Line2D \u5b9e\u4f8b\u7684\u5217\u8868\uff08\u5f88\u5c11\u4f7f\u2f64\uff09\n", "Figure.legends\u5c5e\u6027\uff1a\u2f00\u4e2a Figure Legend \u5b9e\u4f8b\u5217\u8868\uff08\u4e0d\u540c\u4e8e Axes.legends)\n", "Figure.texts\u5c5e\u6027\uff1a\u2f00\u4e2a Figure Text \u5b9e\u4f8b\u5217\u8868\n"]}], "source": ["print(docs_chinese[2].page_content)"]}, {"cell_type": "markdown", "id": "c3dbca56", "metadata": {}, "source": ["\u5728\u4e0b\u4e00\u8bb2\u4e2d\u8ba8\u8bba\u7684\u65b9\u6cd5\u53ef\u4ee5\u7528\u6765\u89e3\u51b3\u8fd9\u4e24\u4e2a\u95ee\u9898\uff01"]}], "metadata": {"kernelspec": {"display_name": "auto-gpt", "language": "python", "name": "python3"}, "language_info": {"codemirror_mode": {"name": "ipython", "version": 3}, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.16"}}, "nbformat": 4, "nbformat_minor": 5}
\ No newline at end of file
diff --git "a/content/\345\277\205\344\277\256\345\233\233-LangChain Chat with Your Data/5.\346\243\200\347\264\242 retrieval.ipynb" "b/content/\345\277\205\344\277\256\345\233\233-LangChain Chat with Your Data/5.\346\243\200\347\264\242 retrieval.ipynb"
index 5aec2981..62200110 100644
--- "a/content/\345\277\205\344\277\256\345\233\233-LangChain Chat with Your Data/5.\346\243\200\347\264\242 retrieval.ipynb"	
+++ "b/content/\345\277\205\344\277\256\345\233\233-LangChain Chat with Your Data/5.\346\243\200\347\264\242 retrieval.ipynb"	
@@ -1 +1 @@
-{"cells":[{"attachments":{},"cell_type":"markdown","id":"0689733d","metadata":{},"source":["# 第五章 检索(Retrieval)\n","\n"," - [一、向量数据库检索](#一、向量数据库检索)\n","     - [1.1 相似性搜索](#1.1-相似性搜索)\n","     - [1.2 解决多样性：最大边际相关性(MMR)](#1.2-解决多样性：最大边际相关性(MMR))\n","     - [1.3 解决特殊性：使用元数据](#1.3-解决特殊性：使用元数据)\n","     - [1.4 解决特殊性：在元数据中使用自查询检索器](#1.4-解决特殊性：在元数据中使用自查询检索器)\n","     - [1.5 其他技巧：压缩](#1.5-其他技巧：压缩)\n"," - [二、结合各种技术](#二、结合各种技术)\n"," - [三、其他类型的检索](#三、其他类型的检索)\n"]},{"attachments":{},"cell_type":"markdown","id":"d12fbd74","metadata":{},"source":["\n","检索是我们的检索增强生成(RAG)流程的核心。\n","\n","让我们获得前面课程存储的向量数据库(`VectorDB`)。"]},{"attachments":{},"cell_type":"markdown","id":"ed2569c6","metadata":{},"source":["## 一、向量数据库检索"]},{"attachments":{},"cell_type":"markdown","id":"651a10db","metadata":{},"source":["在当前文件夹下新建`.env`文件，内容为`OPENAI_API_KEY = \"sk-...\"`\n","\n","本章节需要使用`lark`包，运行以下命令安装"]},{"cell_type":"code","execution_count":1,"id":"51b15e5c-9b92-4d40-a149-b56335d330d9","metadata":{"tags":[]},"outputs":[],"source":["import os\n","import openai\n","import sys\n","sys.path.append('../..')\n","\n","from dotenv import load_dotenv, find_dotenv\n","_ = load_dotenv(find_dotenv()) # read local .env file\n","\n","openai.api_key  = os.environ['OPENAI_API_KEY']\n"]},{"attachments":{},"cell_type":"markdown","id":"c2d552e1","metadata":{},"source":["### 1.1 相似性搜索"]},{"cell_type":"code","execution_count":2,"id":"fe368042","metadata":{"tags":[]},"outputs":[],"source":["from langchain.vectorstores import Chroma\n","from langchain.embeddings.openai import OpenAIEmbeddings\n","persist_directory = 'docs/chroma/cs229_lectures/'\n","persist_directory_chinese = 'docs/chroma/matplotlib/'"]},{"attachments":{},"cell_type":"markdown","id":"5ba63e21","metadata":{},"source":["将上节课所保存的向量数据库(`VectorDB`)加载进来"]},{"cell_type":"code","execution_count":3,"id":"a0189dc5","metadata":{"tags":[]},"outputs":[{"name":"stderr","output_type":"stream","text":["/Users/lta/anaconda3/envs/chat_data/lib/python3.11/site-packages/langchain_core/_api/deprecation.py:119: LangChainDeprecationWarning: The class `OpenAIEmbeddings` was deprecated in LangChain 0.0.9 and will be removed in 0.3.0. An updated version of the class exists in the langchain-openai package and should be used instead. To use it run `pip install -U langchain-openai` and import as `from langchain_openai import OpenAIEmbeddings`.\n","  warn_deprecated(\n"]}],"source":["embedding = OpenAIEmbeddings(model='text-embedding-3-small')"]},{"cell_type":"code","execution_count":4,"id":"2be10170","metadata":{},"outputs":[],"source":["vectordb = Chroma(\n","    persist_directory=persist_directory,\n","    embedding_function=embedding\n",")"]},{"cell_type":"code","execution_count":5,"id":"3659e0f7","metadata":{"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["209\n"]}],"source":["print(vectordb._collection.count())"]},{"cell_type":"code","execution_count":6,"id":"a01ab000","metadata":{},"outputs":[],"source":["vectordb_chinese = Chroma(\n","    persist_directory=persist_directory_chinese,\n","    embedding_function=embedding\n",")"]},{"cell_type":"code","execution_count":7,"id":"a6998a03","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["27\n"]}],"source":["print(vectordb_chinese._collection.count())"]},{"attachments":{},"cell_type":"markdown","id":"9ae4fdd8","metadata":{},"source":["让我们现在来看看最大边际相关性的例子。因此，我们将从下面示例中加载有关蘑菇的信息。\n","\n","让我们现在运行它与MMR。让我们传入k等于2。我们仍然希望返回两个文档，但让我们设置获取k等于3，其中我们最初获取所有三个文档。我们现在可以看到，我们检索的文档中返回了有毒的信息。"]},{"cell_type":"code","execution_count":8,"id":"a807c758","metadata":{"tags":[]},"outputs":[],"source":["texts = [\n","    \"\"\"The Amanita phalloides has a large and imposing epigeous (aboveground) fruiting body (basidiocarp).\"\"\",\n","    \"\"\"A mushroom with a large fruiting body is the Amanita phalloides. Some varieties are all-white.\"\"\",\n","    \"\"\"A. phalloides, a.k.a Death Cap, is one of the most poisonous of all known mushrooms.\"\"\",\n","]"]},{"cell_type":"code","execution_count":9,"id":"b110cceb","metadata":{},"outputs":[],"source":["texts_chinese = [\n","    \"\"\"毒鹅膏菌（Amanita phalloides）具有大型且引人注目的地上（epigeous）子实体（basidiocarp）\"\"\",\n","    \"\"\"一种具有大型子实体的蘑菇是毒鹅膏菌（Amanita phalloides）。某些品种全白。\"\"\",\n","    \"\"\"A. phalloides，又名死亡帽，是已知所有蘑菇中最有毒的一种。\"\"\",\n","]"]},{"attachments":{},"cell_type":"markdown","id":"84cd5f1c","metadata":{},"source":["对于这个例子，我们将创建一个小数据库，我们可以作为一个示例来使用。"]},{"cell_type":"code","execution_count":10,"id":"715d54f3","metadata":{"tags":[]},"outputs":[],"source":["smalldb = Chroma.from_texts(texts, embedding=embedding)"]},{"cell_type":"code","execution_count":11,"id":"305e1714","metadata":{},"outputs":[],"source":["smalldb_chinese = Chroma.from_texts(texts_chinese, embedding=embedding)"]},{"attachments":{},"cell_type":"markdown","id":"239a8d95","metadata":{},"source":["下面是我们对于这个示例所提出的问题"]},{"cell_type":"code","execution_count":12,"id":"9a37b5a5","metadata":{"tags":[]},"outputs":[],"source":["question = \"Tell me about all-white mushrooms with large fruiting bodies\""]},{"cell_type":"code","execution_count":13,"id":"92312e57","metadata":{},"outputs":[],"source":["question_chinese = \"告诉我关于具有大型子实体的全白色蘑菇的信息\""]},{"attachments":{},"cell_type":"markdown","id":"d3224a6d","metadata":{},"source":["现在，我们可以运行一个相似性搜索，设置k=2，只返回两个最相关的文档。\n","\n","我们可以看到，没有提到它是有毒的事实。"]},{"cell_type":"code","execution_count":14,"id":"24e3b025","metadata":{"tags":[]},"outputs":[{"data":{"text/plain":["[Document(page_content='A mushroom with a large fruiting body is the Amanita phalloides. Some varieties are all-white.'),\n"," Document(page_content='The Amanita phalloides has a large and imposing epigeous (aboveground) fruiting body (basidiocarp).')]"]},"execution_count":14,"metadata":{},"output_type":"execute_result"}],"source":["smalldb.similarity_search(question, k=2)"]},{"cell_type":"code","execution_count":15,"id":"d4c5a47d","metadata":{},"outputs":[{"data":{"text/plain":["[Document(page_content='一种具有大型子实体的蘑菇是毒鹅膏菌（Amanita phalloides）。某些品种全白。'),\n"," Document(page_content='A mushroom with a large fruiting body is the Amanita phalloides. Some varieties are all-white.')]"]},"execution_count":15,"metadata":{},"output_type":"execute_result"}],"source":["smalldb_chinese.similarity_search(question_chinese, k=2)"]},{"attachments":{},"cell_type":"markdown","id":"bbb0ea94","metadata":{},"source":["现在，让我们运行最大边际相关性(MMR)。\n","\n","设置k=2，因为我们仍然希望返回两个文档。设置fetch_k=3，fetch_k是我们最初获取的所有文档(3个)。"]},{"cell_type":"code","execution_count":16,"id":"4daa6c0d","metadata":{"tags":[]},"outputs":[{"data":{"text/plain":["[Document(page_content='A mushroom with a large fruiting body is the Amanita phalloides. Some varieties are all-white.'),\n"," Document(page_content='一种具有大型子实体的蘑菇是毒鹅膏菌（Amanita phalloides）。某些品种全白。')]"]},"execution_count":16,"metadata":{},"output_type":"execute_result"}],"source":["smalldb.max_marginal_relevance_search(question,k=2, fetch_k=3)"]},{"cell_type":"code","execution_count":17,"id":"e15521d2","metadata":{},"outputs":[{"data":{"text/plain":["[Document(page_content='A mushroom with a large fruiting body is the Amanita phalloides. Some varieties are all-white.'),\n"," Document(page_content='一种具有大型子实体的蘑菇是毒鹅膏菌（Amanita phalloides）。某些品种全白。')]"]},"execution_count":17,"metadata":{},"output_type":"execute_result"}],"source":["smalldb_chinese.max_marginal_relevance_search(question,k=2, fetch_k=3)"]},{"attachments":{},"cell_type":"markdown","id":"e87c5f91","metadata":{},"source":["我们现在可以看到，我们检索的文档中返回了有毒的信息。"]},{"attachments":{},"cell_type":"markdown","id":"5a29e8c9","metadata":{},"source":["### 1.2 解决多样性：最大边际相关性(MMR)"]},{"attachments":{},"cell_type":"markdown","id":"a2b5c4ae","metadata":{},"source":["\n","我们刚刚通过一个示例引出了一个问题：如何加强搜索结果的多样性。\n"," \n","最大边际相关性(`Maximum marginal relevance`)试图在查询的相关性和结果的多样性之间实现两全其美。"]},{"attachments":{},"cell_type":"markdown","id":"2360545c","metadata":{},"source":["让我们回到上一节课的一个例子，当我们通过问题对向量数据库进行相似性搜索后\n","\n","我们可以看看前两个文档，只看前几个字符，可以看到它们是相同的。"]},{"cell_type":"code","execution_count":18,"id":"9bb2c0a9","metadata":{"tags":[]},"outputs":[],"source":["question = \"what did they say about matlab?\"\n","docs_ss = vectordb.similarity_search(question,k=3)"]},{"cell_type":"code","execution_count":19,"id":"f07f8793","metadata":{"tags":[]},"outputs":[{"data":{"text/plain":["'those homeworks will be done in either MATLA B or in Octave, which is sort of — I \\nknow some people '"]},"execution_count":19,"metadata":{},"output_type":"execute_result"}],"source":["docs_ss[0].page_content[:100]"]},{"cell_type":"code","execution_count":20,"id":"e9f7e165","metadata":{"tags":[]},"outputs":[{"data":{"text/plain":["'those homeworks will be done in either MATLA B or in Octave, which is sort of — I \\nknow some people '"]},"execution_count":20,"metadata":{},"output_type":"execute_result"}],"source":["docs_ss[1].page_content[:100]"]},{"cell_type":"code","execution_count":21,"id":"e8e142eb","metadata":{},"outputs":[],"source":["question_chinese = \"Matplotlib是什么？\"\n","docs_ss_chinese = vectordb_chinese.similarity_search(question_chinese,k=3)"]},{"cell_type":"code","execution_count":22,"id":"cf642f66","metadata":{},"outputs":[{"data":{"text/plain":["'第⼀回：Matplotlib 初相识\\n⼀、认识matplotlib\\nMatplotlib 是⼀个 Python 2D 绘图库，能够以多种硬拷⻉格式和跨平台的交互式环境⽣成出版物质量的图形，⽤来绘制各种'"]},"execution_count":22,"metadata":{},"output_type":"execute_result"}],"source":["docs_ss_chinese[0].page_content[:100]"]},{"cell_type":"code","execution_count":23,"id":"1e9f5cfe","metadata":{},"outputs":[{"data":{"text/plain":["'第⼀回：Matplotlib 初相识\\n⼀、认识matplotlib\\nMatplotlib 是⼀个 Python 2D 绘图库，能够以多种硬拷⻉格式和跨平台的交互式环境⽣成出版物质量的图形，⽤来绘制各种'"]},"execution_count":23,"metadata":{},"output_type":"execute_result"}],"source":["docs_ss_chinese[1].page_content[:100]"]},{"attachments":{},"cell_type":"markdown","id":"4c4ca1b6","metadata":{},"source":["注意：使用`MMR`所得出结果的差异。"]},{"cell_type":"code","execution_count":24,"id":"222234c5","metadata":{"tags":[]},"outputs":[],"source":["docs_mmr = vectordb.max_marginal_relevance_search(question,k=3)"]},{"cell_type":"code","execution_count":25,"id":"408935bc","metadata":{},"outputs":[],"source":["docs_mmr_chinese = vectordb_chinese.max_marginal_relevance_search(question_chinese,k=3)"]},{"attachments":{},"cell_type":"markdown","id":"9076db81","metadata":{},"source":["当我们运行MMR后得到结果时，我们可以看到第一个与之前的相同，因为那是最相似的。"]},{"cell_type":"code","execution_count":26,"id":"93b20226","metadata":{"tags":[]},"outputs":[{"data":{"text/plain":["'those homeworks will be done in either MATLA B or in Octave, which is sort of — I \\nknow some people '"]},"execution_count":26,"metadata":{},"output_type":"execute_result"}],"source":["docs_mmr[0].page_content[:100]"]},{"cell_type":"code","execution_count":27,"id":"d0acfaab","metadata":{},"outputs":[{"data":{"text/plain":["'第⼀回：Matplotlib 初相识\\n⼀、认识matplotlib\\nMatplotlib 是⼀个 Python 2D 绘图库，能够以多种硬拷⻉格式和跨平台的交互式环境⽣成出版物质量的图形，⽤来绘制各种'"]},"execution_count":27,"metadata":{},"output_type":"execute_result"}],"source":["docs_mmr_chinese[0].page_content[:100]"]},{"attachments":{},"cell_type":"markdown","id":"7a93743f","metadata":{},"source":["但是当我们进行到第二个时，我们可以看到它是不同的。\n","\n","它在回应中获得了一些多样性。"]},{"cell_type":"code","execution_count":28,"id":"17d39762","metadata":{"tags":[]},"outputs":[{"data":{"text/plain":["\"mathematical work, he feels like he's disc overing truth and beauty in the universe. And \\nhe says it\""]},"execution_count":28,"metadata":{},"output_type":"execute_result"}],"source":["docs_mmr[1].page_content[:100]"]},{"cell_type":"code","execution_count":29,"id":"93d3206c","metadata":{},"outputs":[{"data":{"text/plain":["'fig, ax = plt.subplots(figsize=(4,3))\\nax.grid(True)\\n使⽤ set_xscale 可以设置坐标轴的规度（指对数坐标等）\\nfig, axs = plt.'"]},"execution_count":29,"metadata":{},"output_type":"execute_result"}],"source":["docs_mmr_chinese[1].page_content[:100]"]},{"attachments":{},"cell_type":"markdown","id":"b2b909bc","metadata":{},"source":["### 1.3 解决特殊性：使用元数据"]},{"attachments":{},"cell_type":"markdown","id":"7b63c5ee","metadata":{},"source":["\n","在上一节课中，我们展示了一个问题，是询问了关于文档中某一讲的问题，但得到的结果中也包括了来自其他讲的结果。\n","\n","为了解决这一问题，很多向量数据库都支持对`metadata`的操作。\n","\n","`metadata`为每个嵌入的块(embedded chunk)提供上下文。"]},{"cell_type":"code","execution_count":30,"id":"3c1a60b2","metadata":{"tags":[]},"outputs":[],"source":["question = \"what did they say about regression in the third lecture?\""]},{"cell_type":"code","execution_count":31,"id":"ba98df3c","metadata":{},"outputs":[],"source":["question_chinese = \"他们在第二讲中对Figure说了些什么？\"  "]},{"attachments":{},"cell_type":"markdown","id":"3873525e","metadata":{},"source":["现在，我们以手动的方式来解决这个问题，我们会指定一个元数据过滤器`filter`"]},{"cell_type":"code","execution_count":32,"id":"a8612840","metadata":{"tags":[]},"outputs":[],"source":["docs = vectordb.similarity_search(\n","    question,\n","    k=3,\n","    filter={\"source\":\"docs/cs229_lectures/MachineLearning-Lecture03.pdf\"}\n",")"]},{"cell_type":"code","execution_count":33,"id":"b46c7e76","metadata":{},"outputs":[],"source":["docs_chinese = vectordb_chinese.similarity_search(\n","    question_chinese,\n","    k=3,\n","    filter={\"source\":\"docs/matplotlib/第二回：艺术画笔见乾坤.pdf\"}\n",")"]},{"attachments":{},"cell_type":"markdown","id":"869aee28","metadata":{},"source":["接下来，我们可以看到结果都来自对应的章节"]},{"cell_type":"code","execution_count":34,"id":"97031876","metadata":{"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["{'page': 0, 'source': 'docs/cs229_lectures/MachineLearning-Lecture03.pdf'}\n","{'page': 14, 'source': 'docs/cs229_lectures/MachineLearning-Lecture03.pdf'}\n","{'page': 6, 'source': 'docs/cs229_lectures/MachineLearning-Lecture03.pdf'}\n"]}],"source":["for d in docs:\n","    print(d.metadata)"]},{"cell_type":"code","execution_count":35,"id":"2708f6ae","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["{'page': 9, 'source': 'docs/matplotlib/第二回：艺术画笔见乾坤.pdf'}\n","{'page': 0, 'source': 'docs/matplotlib/第二回：艺术画笔见乾坤.pdf'}\n","{'page': 3, 'source': 'docs/matplotlib/第二回：艺术画笔见乾坤.pdf'}\n"]}],"source":["for d in docs_chinese:\n","    print(d.metadata)\n","    "]},{"attachments":{},"cell_type":"markdown","id":"5e299f8e","metadata":{},"source":["当然，我们不能每次都采用手动的方式来解决这个问题，这会显得不够智能\n","\n","下一小节将要展示通过LLM来解决这个问题"]},{"attachments":{},"cell_type":"markdown","id":"ccc2d784","metadata":{},"source":["### 1.4 解决特殊性：在元数据中使用自查询检索器"]},{"attachments":{},"cell_type":"markdown","id":"82ef44b6","metadata":{},"source":["我们有一个有趣的挑战：我们通常希望从查询本身来推断元数据。\n","\n","为了解决这个问题，我们可以使用SelfQueryRetriever，它使用LLM来提取：\n"," \n","1. 用于向量搜索的查询(`query`)字符串，即：问题\n","2. 要一起传入的元数据过滤器\n","\n","大多数向量数据库支持元数据过滤器，因此不需要任何新的数据库及索引。"]},{"cell_type":"code","execution_count":36,"id":"b1d06084","metadata":{"tags":[]},"outputs":[],"source":["from langchain_community.llms.openai import OpenAI\n","from langchain.retrievers.self_query.base import SelfQueryRetriever\n","from langchain.chains.query_constructor.base import AttributeInfo"]},{"cell_type":"code","execution_count":37,"id":"869c27c0","metadata":{},"outputs":[{"name":"stderr","output_type":"stream","text":["/Users/lta/anaconda3/envs/chat_data/lib/python3.11/site-packages/langchain_core/_api/deprecation.py:119: LangChainDeprecationWarning: The class `OpenAI` was deprecated in LangChain 0.0.10 and will be removed in 0.3.0. An updated version of the class exists in the langchain-openai package and should be used instead. To use it run `pip install -U langchain-openai` and import as `from langchain_openai import OpenAI`.\n","  warn_deprecated(\n"]}],"source":["llm = OpenAI(temperature=0)"]},{"attachments":{},"cell_type":"markdown","id":"acd194c5","metadata":{},"source":["`AttributeInfo`是我们可以指定元数据中的不同字段以及它们对应的位置。\n","\n","在元数据中，我们只有两个字段，`source`和`page`。\n","\n","我们将填写每个属性的名称、描述和类型的描述。\n","\n","这些信息实际上将被传递给LLM，所以需要尽可能详细地描述。"]},{"cell_type":"code","execution_count":38,"id":"0aa5e698","metadata":{"tags":[]},"outputs":[],"source":["metadata_field_info = [\n","    AttributeInfo(\n","        name=\"source\",\n","        description=\"The lecture the chunk is from, should be one of `docs/cs229_lectures/MachineLearning-Lecture01.pdf`, `docs/cs229_lectures/MachineLearning-Lecture02.pdf`, or `docs/cs229_lectures/MachineLearning-Lecture03.pdf`\",\n","        type=\"string\",\n","    ),\n","    AttributeInfo(\n","        name=\"page\",\n","        description=\"The page from the lecture\",\n","        type=\"integer\",\n","    ),\n","]"]},{"cell_type":"code","execution_count":39,"id":"544ad7c1","metadata":{},"outputs":[],"source":["metadata_field_info_chinese = [\n","    AttributeInfo(\n","        name=\"source\",\n","        description=\"讲义来源于 `docs/matplotlib/第一回：Matplotlib初相识.pdf`, `docs/matplotlib/第二回：艺术画笔见乾坤.pdf`, or `docs/matplotlib/第三回：布局格式定方圆.pdf` 的其中之一\",\n","        type=\"string\",\n","    ),\n","    AttributeInfo(\n","        name=\"page\",\n","        description=\"讲义的那一页\",\n","        type=\"integer\",\n","    ),\n","]"]},{"cell_type":"code","execution_count":40,"id":"e7906c15","metadata":{"tags":[]},"outputs":[],"source":["document_content_description = \"Lecture notes\"\n","retriever = SelfQueryRetriever.from_llm(\n","    llm,\n","    vectordb,\n","    document_content_description,\n","    metadata_field_info,\n","    verbose=True\n",")"]},{"cell_type":"code","execution_count":41,"id":"d5b99571","metadata":{},"outputs":[],"source":["document_content_description_chinese = \"课堂讲义\"\n","retriever_chinese = SelfQueryRetriever.from_llm(\n","    llm,\n","    vectordb_chinese,\n","    document_content_description_chinese,\n","    metadata_field_info_chinese,\n","    verbose=True\n",")"]},{"cell_type":"code","execution_count":42,"id":"79d781b9","metadata":{"tags":[]},"outputs":[],"source":["question = \"what did they say about regression in the third lecture?\""]},{"cell_type":"code","execution_count":43,"id":"8d9b7e18","metadata":{},"outputs":[],"source":["question_chinese = \"他们在第二讲中对Figure说了些什么？\"  "]},{"cell_type":"code","execution_count":44,"id":"1d4f9f7d","metadata":{"tags":[]},"outputs":[{"name":"stderr","output_type":"stream","text":["/Users/lta/anaconda3/envs/chat_data/lib/python3.11/site-packages/langchain_core/_api/deprecation.py:119: LangChainDeprecationWarning: The method `BaseRetriever.get_relevant_documents` was deprecated in langchain-core 0.1.46 and will be removed in 0.3.0. Use invoke instead.\n","  warn_deprecated(\n"]}],"source":["docs = retriever.get_relevant_documents(question)"]},{"cell_type":"code","execution_count":45,"id":"ea39a97e","metadata":{},"outputs":[],"source":["docs_chinese = retriever_chinese.get_relevant_documents(question_chinese)"]},{"cell_type":"code","execution_count":46,"id":"db04374e","metadata":{"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["{'page': 10, 'source': 'docs/cs229_lectures/MachineLearning-Lecture03.pdf'}\n","{'page': 11, 'source': 'docs/cs229_lectures/MachineLearning-Lecture03.pdf'}\n","{'page': 6, 'source': 'docs/cs229_lectures/MachineLearning-Lecture03.pdf'}\n","{'page': 2, 'source': 'docs/cs229_lectures/MachineLearning-Lecture03.pdf'}\n"]}],"source":["for d in docs:\n","    print(d.metadata)"]},{"cell_type":"code","execution_count":47,"id":"143061f5","metadata":{},"outputs":[],"source":["for d in docs_chinese:\n","    print(d.metadata)"]},{"attachments":{},"cell_type":"markdown","id":"297b8168","metadata":{},"source":["### 1.5 其他技巧：压缩"]},{"attachments":{},"cell_type":"markdown","id":"564144da","metadata":{},"source":["另一种提高检索到的文档质量的方法是压缩。\n","\n","与查询最相关的信息可能隐藏在具有大量不相关文本的文档中。\n","\n","在应用程序中传递完整的文档可能会导致更昂贵的LLM调用和更差的响应。\n","\n","上下文压缩就是为了解决这个问题。"]},{"cell_type":"code","execution_count":48,"id":"a060cf74","metadata":{"tags":[]},"outputs":[],"source":["from langchain.retrievers import ContextualCompressionRetriever\n","from langchain.retrievers.document_compressors import LLMChainExtractor"]},{"cell_type":"code","execution_count":49,"id":"038649c8","metadata":{"tags":[]},"outputs":[],"source":["def pretty_print_docs(docs):\n","    print(f\"\\n{'-' * 100}\\n\".join([f\"Document {i+1}:\\n\\n\" + d.page_content for i, d in enumerate(docs)]))"]},{"cell_type":"code","execution_count":50,"id":"fc686cf2","metadata":{"tags":[]},"outputs":[],"source":["llm = OpenAI(temperature=0)\n","compressor = LLMChainExtractor.from_llm(llm)  # 压缩器"]},{"cell_type":"code","execution_count":51,"id":"82794397","metadata":{"tags":[]},"outputs":[],"source":["compression_retriever = ContextualCompressionRetriever(\n","    base_compressor=compressor,\n","    base_retriever=vectordb.as_retriever()\n",")"]},{"cell_type":"code","execution_count":52,"id":"915598f8","metadata":{},"outputs":[],"source":["compression_retriever_chinese = ContextualCompressionRetriever(\n","    base_compressor=compressor,\n","    base_retriever=vectordb_chinese.as_retriever()\n",")"]},{"cell_type":"code","execution_count":53,"id":"cde86848","metadata":{"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["Document 1:\n","\n","- \"those homeworks will be done in either MATLA B or in Octave\"\n","- \"I know some people call it a free ve rsion of MATLAB\"\n","- \"MATLAB is I guess part of the programming language that makes it very easy to write codes using matrices, to write code for numerical routines, to move data around, to plot data.\"\n","- \"there's also a software package called Octave that you can download for free off the Internet.\"\n","- \"it has somewhat fewer features than MATLAB, but it's free, and for the purposes of this class, it will work for just about everything.\"\n","- \"once a colleague of mine at a different university, not at Stanford, actually teaches another machine learning course.\"\n","----------------------------------------------------------------------------------------------------\n","Document 2:\n","\n","- \"those homeworks will be done in either MATLA B or in Octave\"\n","- \"I know some people call it a free ve rsion of MATLAB\"\n","- \"MATLAB is I guess part of the programming language that makes it very easy to write codes using matrices, to write code for numerical routines, to move data around, to plot data.\"\n","- \"there's also a software package called Octave that you can download for free off the Internet.\"\n","- \"it has somewhat fewer features than MATLAB, but it's free, and for the purposes of this class, it will work for just about everything.\"\n","- \"once a colleague of mine at a different university, not at Stanford, actually teaches another machine learning course.\"\n","----------------------------------------------------------------------------------------------------\n","Document 3:\n","\n","\"Oh, it was the MATLAB.\"\n","----------------------------------------------------------------------------------------------------\n","Document 4:\n","\n","\"Oh, it was the MATLAB.\"\n"]}],"source":["question = \"what did they say about matlab?\"\n","compressed_docs = compression_retriever.get_relevant_documents(question)\n","pretty_print_docs(compressed_docs)"]},{"cell_type":"code","execution_count":54,"id":"39726b24","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["Document 1:\n","\n","Matplotlib 是⼀个 Python 2D 绘图库，能够以多种硬拷⻉格式和跨平台的交互式环境⽣成出版物质量的图形，⽤来绘制各种静态，动态，交互式的图表。\n","----------------------------------------------------------------------------------------------------\n","Document 2:\n","\n","Matplotlib 是⼀个 Python 2D 绘图库，能够以多种硬拷⻉格式和跨平台的交互式环境⽣成出版物质量的图形，⽤来绘制各种静态，动态，交互式的图表。\n","----------------------------------------------------------------------------------------------------\n","Document 3:\n","\n","Axes：matplotlib 宇宙的核⼼，容纳了⼤量元素⽤来构造⼀幅幅⼦图，⼀个 figure 可以由⼀个或多个⼦图组成\n","Axis：axes的下属层级，⽤于处理所有和坐标轴，⽹格有关的元素\n","Tick：axis的下属层级，⽤来处理所有和刻度有关的元素\n","四、两种绘图接⼝\n","matplotlib 提供了两种最常⽤的绘图接⼝\n","----------------------------------------------------------------------------------------------------\n","Document 4:\n","\n","Axes：matplotlib 宇宙的核⼼，容纳了⼤量元素⽤来构造⼀幅幅⼦图，⼀个 figure 可以由⼀个或多个⼦图组成\n","Axis：axes的下属层级，⽤于处理所有和坐标轴，⽹格有关的元素\n","Tick：axis的下属层级，⽤来处理所有和刻度有关的元素\n","四、两种绘图接⼝\n","matplotlib 提供了两种最常⽤的绘图接⼝\n"]}],"source":["question_chinese = \"Matplotlib是什么？\"\n","compressed_docs_chinese = compression_retriever_chinese.get_relevant_documents(question_chinese)\n","pretty_print_docs(compressed_docs_chinese)"]},{"attachments":{},"cell_type":"markdown","id":"049b2601","metadata":{},"source":["现在当我们提出问题后，查看结果文档\n","\n","我们可以看到两件事。\n","\n","1. 它们比正常文档短很多\n","2. 仍然有一些重复的东西，这是因为在底层我们使用的是语义搜索算法。\n","\n","这就是我们在本课程前面使用MMR解决的问题。\n","\n","这是一个很好的例子，你可以结合各种技术得到最好的可能结果。"]},{"attachments":{},"cell_type":"markdown","id":"82c4fc4d","metadata":{},"source":["## 二、结合各种技术"]},{"attachments":{},"cell_type":"markdown","id":"54432975","metadata":{},"source":["为了做到这一点，我们在从向量数据库创建检索器时，可以将搜索类型设置为MMR。\n","\n","然后我们可以重新运行这个过程，看到我们返回的是一个过滤过的结果集，其中不包含任何重复的信息。"]},{"cell_type":"code","execution_count":55,"id":"161ae1ad","metadata":{"tags":[]},"outputs":[],"source":["compression_retriever = ContextualCompressionRetriever(\n","    base_compressor=compressor,\n","    base_retriever=vectordb.as_retriever(search_type = \"mmr\")\n",")"]},{"cell_type":"code","execution_count":56,"id":"cd6396bb","metadata":{},"outputs":[],"source":["compression_retriever_chinese = ContextualCompressionRetriever(\n","    base_compressor=compressor,\n","    base_retriever=vectordb_chinese.as_retriever(search_type = \"mmr\")\n",")"]},{"cell_type":"code","execution_count":57,"id":"e77ccae1","metadata":{"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["Document 1:\n","\n","- \"those homeworks will be done in either MATLA B or in Octave\"\n","- \"I know some people call it a free ve rsion of MATLAB\"\n","- \"MATLAB is I guess part of the programming language that makes it very easy to write codes using matrices, to write code for numerical routines, to move data around, to plot data.\"\n","- \"there's also a software package called Octave that you can download for free off the Internet.\"\n","- \"it has somewhat fewer features than MATLAB, but it's free, and for the purposes of this class, it will work for just about everything.\"\n","- \"once a colleague of mine at a different university, not at Stanford, actually teaches another machine learning course.\"\n","----------------------------------------------------------------------------------------------------\n","Document 2:\n","\n","\"Oh, it was the MATLAB.\"\n"]}],"source":["question = \"what did they say about matlab?\"\n","compressed_docs = compression_retriever.get_relevant_documents(question)\n","pretty_print_docs(compressed_docs)"]},{"cell_type":"code","execution_count":58,"id":"fe68a14b","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["Document 1:\n","\n","Matplotlib 是⼀个 Python 2D 绘图库，能够以多种硬拷⻉格式和跨平台的交互式环境⽣成出版物质量的图形，⽤来绘制各种静态，动态，交互式的图表。\n","----------------------------------------------------------------------------------------------------\n","Document 2:\n","\n","Matplotlib是什么？\n","fig, ax = plt.subplots(figsize=(4,3))\n","ax.grid(True)\n","使⽤ set_xscale 可以设置坐标轴的规度（指对数坐标等）\n","fig, axs = plt.subplots(1, 2, figsize=(10, 4))\n","for j in range(2):\n","    axs[j].plot(list('abcd'), [10**i for i in range(4)])\n","    if j==0:\n","        axs[j].set_yscale('log')\n","    else:\n","        pass\n","fig.tight_layout()\n","----------------------------------------------------------------------------------------------------\n","Document 3:\n","\n","matplotlib.pyplot.pie(x, explode=None, labels=None, colors=None, autopct=None, pctdistance=0.6, shadow=False,\n","labeldistance=1.1, startangle=0, radius=1, counterclock=True, wedgeprops=None, textprops=None, center=0, 0,\n","frame=False, rotatelabels=False, *, normalize=None, data=None)\n","制作数据x 的饼图，每个楔⼦的⾯积⽤ x/sum(x) 表示。\n","其中最主要的参数是前 4 个：\n","x：楔型的形状，⼀维数组。\n","explode：如果不是等于 None ，则是⼀个 len(x) 数组，它指定⽤于偏移每个楔形块的半径的分数。\n","labels：⽤于指定每个楔型块的标记，取值是列表或为 None 。\n","colors：饼图循环使⽤的颜⾊序列。如果取值为 None ，将使⽤当前\n","----------------------------------------------------------------------------------------------------\n","Document 4:\n","\n","Matplotlib是什么？\n"]}],"source":["question_chinese = \"Matplotlib是什么？\"\n","compressed_docs_chinese = compression_retriever_chinese.get_relevant_documents(question_chinese)\n","pretty_print_docs(compressed_docs_chinese)"]},{"attachments":{},"cell_type":"markdown","id":"6c2b63e1","metadata":{},"source":["## 三、其他类型的检索"]},{"attachments":{},"cell_type":"markdown","id":"3e777a7b","metadata":{},"source":["值得注意的是，vetordb并不是唯一一种检索文档的工具。\n","\n","`LangChain`检索器抽象包括其他检索文档的方式，如：`TF-IDF` 或 `SVM`。"]},{"cell_type":"code","execution_count":59,"id":"83d2e808","metadata":{"tags":[]},"outputs":[],"source":["from langchain.retrievers import SVMRetriever\n","from langchain.retrievers import TFIDFRetriever\n","from langchain.document_loaders import PyPDFLoader\n","from langchain.text_splitter import RecursiveCharacterTextSplitter"]},{"cell_type":"code","execution_count":60,"id":"bcf5b760","metadata":{"tags":[]},"outputs":[],"source":["# 加载PDF\n","loader = PyPDFLoader(\"docs/cs229_lectures/MachineLearning-Lecture01.pdf\")\n","pages = loader.load()\n","all_page_text = [p.page_content for p in pages]\n","joined_page_text = \" \".join(all_page_text)\n","\n","# 分割文本\n","text_splitter = RecursiveCharacterTextSplitter(chunk_size = 1500,chunk_overlap = 150)\n","splits = text_splitter.split_text(joined_page_text)\n"]},{"cell_type":"code","execution_count":61,"id":"1657e768","metadata":{},"outputs":[],"source":["# 加载PDF\n","loader_chinese = PyPDFLoader(\"docs/matplotlib/第一回：Matplotlib初相识.pdf\")\n","pages_chinese = loader_chinese.load()\n","all_page_text_chinese = [p.page_content for p in pages_chinese]\n","joined_page_text_chinese = \" \".join(all_page_text_chinese)\n","\n","# 分割文本\n","text_splitter_chinese = RecursiveCharacterTextSplitter(chunk_size = 1500,chunk_overlap = 150)\n","splits_chinese = text_splitter_chinese.split_text(joined_page_text_chinese)"]},{"cell_type":"code","execution_count":62,"id":"59abbaff","metadata":{},"outputs":[],"source":["# 检索\n","svm_retriever = SVMRetriever.from_texts(splits, embedding)\n","tfidf_retriever = TFIDFRetriever.from_texts(splits)"]},{"cell_type":"code","execution_count":63,"id":"7885389e","metadata":{},"outputs":[{"data":{"text/plain":["Document(page_content=\"or find project partners or discuss homework problems and so on, and it's not monitored \\nby the TAs and me. So feel free to ta lk trash about this class there.  \\nIf you want to contact the teaching staff, pl ease use the email address written down here, \\ncs229-qa@cs.stanford.edu. This goes to an acc ount that's read by all the TAs and me. So \\nrather than sending us email individually, if you send email to this account, it will \\nactually let us get back to you maximally quickly with answers to your questions.  \\nIf you're asking questions about homework probl ems, please say in the subject line which \\nassignment and which question the email refers to, since that will also help us to route \\nyour question to the appropriate TA or to me  appropriately and get the response back to \\nyou quickly.  \\nLet's see. Skipping ahead — let's see — for homework, one midterm, one open and term \\nproject. Notice on the honor code. So one thi ng that I think will help you to succeed and \\ndo well in this class and even help you to enjoy this cla ss more is if you form a study \\ngroup.  \\nSo start looking around where you' re sitting now or at the end of class today, mingle a \\nlittle bit and get to know your classmates. I strongly encourage you to form study groups \\nand sort of have a group of people to study with and have a group of your fellow students \\nto talk over these concepts with. You can also  post on the class news group if you want to \\nuse that to try to form a study group.\")"]},"execution_count":63,"metadata":{},"output_type":"execute_result"}],"source":["question = \"What are major topics for this class?\"  # 这门课的主要主题是什么？\n","docs_svm = svm_retriever.get_relevant_documents(question)\n","docs_svm[0]"]},{"cell_type":"code","execution_count":64,"id":"2a1659c0","metadata":{"tags":[]},"outputs":[{"data":{"text/plain":["Document(page_content=\"Saxena and Min Sun here did, wh ich is given an image like this, right? This is actually a \\npicture taken of the Stanford campus. You can apply that sort of cl ustering algorithm and \\ngroup the picture into regions. Let me actually blow that up so that you can see it more \\nclearly. Okay. So in the middle, you see the lines sort of groupi ng the image together, \\ngrouping the image into [inaudible] regions.  \\nAnd what Ashutosh and Min did was they then  applied the learning algorithm to say can \\nwe take this clustering and us e it to build a 3D model of the world? And so using the \\nclustering, they then had a lear ning algorithm try to learn what the 3D structure of the \\nworld looks like so that they could come up with a 3D model that you can sort of fly \\nthrough, okay? Although many people used to th ink it's not possible to take a single \\nimage and build a 3D model, but using a lear ning algorithm and that sort of clustering \\nalgorithm is the first step. They were able to.  \\nI'll just show you one more example. I like this  because it's a picture of Stanford with our \\nbeautiful Stanford campus. So again, taking th e same sort of clustering algorithms, taking \\nthe same sort of unsupervised learning algor ithm, you can group the pixels into different \\nregions. And using that as a pre-processing step, they eventually built this sort of 3D model of Stanford campus in a single picture.  You can sort of walk  into the ceiling, look\")"]},"execution_count":64,"metadata":{},"output_type":"execute_result"}],"source":["question = \"what did they say about matlab?\"  # 他们关于Matlab说了些什么？\n","docs_tfidf = tfidf_retriever.get_relevant_documents(question)\n","docs_tfidf[0]"]},{"cell_type":"code","execution_count":65,"id":"5ade9c87","metadata":{},"outputs":[],"source":["# 中文版\n","svm_retriever_chinese = SVMRetriever.from_texts(splits_chinese, embedding)\n","tfidf_retriever_chinese = TFIDFRetriever.from_texts(splits_chinese)"]},{"cell_type":"code","execution_count":66,"id":"cc823bea","metadata":{},"outputs":[{"data":{"text/plain":["Document(page_content='第⼀回：Matplotlib 初相识\\n⼀、认识matplotlib\\nMatplotlib 是⼀个 Python 2D 绘图库，能够以多种硬拷⻉格式和跨平台的交互式环境⽣成出版物质量的图形，⽤来绘制各种静态，动态，\\n交互式的图表。\\nMatplotlib 可⽤于 Python 脚本， Python 和 IPython Shell 、 Jupyter notebook ， Web 应⽤程序服务器和各种图形⽤户界⾯⼯具包等。\\nMatplotlib 是 Python 数据可视化库中的泰⽃，它已经成为 python 中公认的数据可视化⼯具，我们所熟知的 pandas 和 seaborn 的绘图接⼝\\n其实也是基于 matplotlib 所作的⾼级封装。\\n为了对matplotlib 有更好的理解，让我们从⼀些最基本的概念开始认识它，再逐渐过渡到⼀些⾼级技巧中。\\n⼆、⼀个最简单的绘图例⼦\\nMatplotlib 的图像是画在 figure （如 windows ， jupyter 窗体）上的，每⼀个 figure ⼜包含了⼀个或多个 axes （⼀个可以指定坐标系的⼦区\\n域）。最简单的创建 figure 以及 axes 的⽅式是通过 pyplot.subplots命令，创建 axes 以后，可以使⽤ Axes.plot绘制最简易的折线图。\\nimport matplotlib.pyplot as plt\\nimport matplotlib as mpl\\nimport numpy as np\\nfig, ax = plt.subplots()  # 创建⼀个包含⼀个 axes 的 figure\\nax.plot([1, 2, 3, 4], [1, 4, 2, 3]);  # 绘制图像\\nTrick： 在jupyter notebook 中使⽤ matplotlib 时会发现，代码运⾏后⾃动打印出类似 <matplotlib.lines.Line2D at 0x23155916dc0>\\n这样⼀段话，这是因为 matplotlib 的绘图代码默认打印出最后⼀个对象。如果不想显示这句话，有以下三种⽅法，在本章节的代码示例\\n中你能找到这三种⽅法的使⽤。\\n\\x00. 在代码块最后加⼀个分号 ;\\n\\x00. 在代码块最后加⼀句 plt.show()\\n\\x00. 在绘图时将绘图对象显式赋值给⼀个变量，如将 plt.plot([1, 2, 3, 4]) 改成 line =plt.plot([1, 2, 3, 4])\\n和MATLAB 命令类似，你还可以通过⼀种更简单的⽅式绘制图像， matplotlib.pyplot⽅法能够直接在当前 axes 上绘制图像，如果⽤户\\n未指定axes ， matplotlib 会帮你⾃动创建⼀个。所以上⾯的例⼦也可以简化为以下这⼀⾏代码。\\nline =plt.plot([1, 2, 3, 4], [1, 4, 2, 3]) \\n三、Figure 的组成\\n现在我们来深⼊看⼀下 figure 的组成。通过⼀张 figure 解剖图，我们可以看到⼀个完整的 matplotlib 图像通常会包括以下四个层级，这些\\n层级也被称为容器（ container ），下⼀节会详细介绍。在 matplotlib 的世界中，我们将通过各种命令⽅法来操纵图像中的每⼀个部分，\\n从⽽达到数据可视化的最终效果，⼀副完整的图像实际上是各类⼦元素的集合。\\nFigure：顶层级，⽤来容纳所有绘图元素')"]},"execution_count":66,"metadata":{},"output_type":"execute_result"}],"source":["question_chinese = \"这门课的主要主题是什么？\" \n","docs_svm_chinese = svm_retriever_chinese.get_relevant_documents(question_chinese)\n","docs_svm_chinese[0]"]},{"cell_type":"code","execution_count":67,"id":"01eb9d43","metadata":{},"outputs":[{"data":{"text/plain":["Document(page_content='fig, ax = plt.subplots()  \\n# step4 绘制图像，  这⼀模块的扩展参考第⼆章进⼀步学习\\nax.plot(x, y, label=\\'linear\\')  \\n# step5 添加标签，⽂字和图例，这⼀模块的扩展参考第四章进⼀步学习\\nax.set_xlabel(\\'x label\\') \\nax.set_ylabel(\\'y label\\') \\nax.set_title(\"Simple Plot\")  \\nax.legend() ;\\n思考题\\n请思考两种绘图模式的优缺点和各⾃适合的使⽤场景\\n在第五节绘图模板中我们是以 OO 模式作为例⼦展示的，请思考并写⼀个 pyplot 绘图模式的简单模板')"]},"execution_count":67,"metadata":{},"output_type":"execute_result"}],"source":["question_chinese = \"Matplotlib是什么？\"\n","docs_tfidf_chinese = tfidf_retriever_chinese.get_relevant_documents(question_chinese)\n","docs_tfidf_chinese[0]"]}],"metadata":{"kernelspec":{"display_name":"Python 3 (ipykernel)","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.11.9"}},"nbformat":4,"nbformat_minor":5}
+{"cells": [{"attachments": {}, "cell_type": "markdown", "id": "0689733d", "metadata": {}, "source": ["# \u7b2c\u4e94\u7ae0 \u68c0\u7d22(Retrieval)", "\n", " - [\u4e00\u3001\u5411\u91cf\u6570\u636e\u5e93\u68c0\u7d22](#\u4e00\u3001\u5411\u91cf\u6570\u636e\u5e93\u68c0\u7d22)\n", "     - [1.1 \u76f8\u4f3c\u6027\u641c\u7d22](#1.1-\u76f8\u4f3c\u6027\u641c\u7d22)\n", "     - [1.2 \u89e3\u51b3\u591a\u6837\u6027\uff1a\u6700\u5927\u8fb9\u9645\u76f8\u5173\u6027(MMR)](#1.2-\u89e3\u51b3\u591a\u6837\u6027\uff1a\u6700\u5927\u8fb9\u9645\u76f8\u5173\u6027(MMR))\n", "     - [1.3 \u89e3\u51b3\u7279\u6b8a\u6027\uff1a\u4f7f\u7528\u5143\u6570\u636e](#1.3-\u89e3\u51b3\u7279\u6b8a\u6027\uff1a\u4f7f\u7528\u5143\u6570\u636e)\n", "     - [1.4 \u89e3\u51b3\u7279\u6b8a\u6027\uff1a\u5728\u5143\u6570\u636e\u4e2d\u4f7f\u7528\u81ea\u67e5\u8be2\u68c0\u7d22\u5668](#1.4-\u89e3\u51b3\u7279\u6b8a\u6027\uff1a\u5728\u5143\u6570\u636e\u4e2d\u4f7f\u7528\u81ea\u67e5\u8be2\u68c0\u7d22\u5668)\n", "     - [1.5 \u5176\u4ed6\u6280\u5de7\uff1a\u538b\u7f29](#1.5-\u5176\u4ed6\u6280\u5de7\uff1a\u538b\u7f29)\n", " - [\u4e8c\u3001\u7ed3\u5408\u5404\u79cd\u6280\u672f](#\u4e8c\u3001\u7ed3\u5408\u5404\u79cd\u6280\u672f)\n", " - [\u4e09\u3001\u5176\u4ed6\u7c7b\u578b\u7684\u68c0\u7d22](#\u4e09\u3001\u5176\u4ed6\u7c7b\u578b\u7684\u68c0\u7d22)\n"]}, {"attachments": {}, "cell_type": "markdown", "id": "d12fbd74", "metadata": {}, "source": ["\n", "\u68c0\u7d22\u662f\u6211\u4eec\u7684\u68c0\u7d22\u589e\u5f3a\u751f\u6210(RAG)\u6d41\u7a0b\u7684\u6838\u5fc3\u3002\n", "\n", "\u8ba9\u6211\u4eec\u83b7\u5f97\u524d\u9762\u8bfe\u7a0b\u5b58\u50a8\u7684\u5411\u91cf\u6570\u636e\u5e93(`VectorDB`)\u3002"]}, {"attachments": {}, "cell_type": "markdown", "id": "ed2569c6", "metadata": {}, "source": ["## \u4e00\u3001\u5411\u91cf\u6570\u636e\u5e93\u68c0\u7d22"]}, {"attachments": {}, "cell_type": "markdown", "id": "651a10db", "metadata": {}, "source": ["\u5728\u5f53\u524d\u6587\u4ef6\u5939\u4e0b\u65b0\u5efa`.env`\u6587\u4ef6\uff0c\u5185\u5bb9\u4e3a`OPENAI_API_KEY = \"sk-...\"`\n", "\n", "\u672c\u7ae0\u8282\u9700\u8981\u4f7f\u7528`lark`\u5305\uff0c\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5"]}, {"cell_type": "code", "execution_count": 1, "id": "c18f8a7b-62af-403e-9877-18d1c2265b4f", "metadata": {"tags": []}, "outputs": [], "source": ["!pip install -Uq lark"]}, {"cell_type": "code", "execution_count": 3, "id": "51b15e5c-9b92-4d40-a149-b56335d330d9", "metadata": {"tags": []}, "outputs": [], "source": ["import os\n", "import openai\n", "import sys\n", "sys.path.append('../..')\n", "\n", "from dotenv import load_dotenv, find_dotenv\n", "_ = load_dotenv(find_dotenv()) # read local .env file\n", "\n", "openai.api_key  = os.environ['OPENAI_API_KEY']\n"]}, {"attachments": {}, "cell_type": "markdown", "id": "c2d552e1", "metadata": {}, "source": ["### 1.1 \u76f8\u4f3c\u6027\u641c\u7d22"]}, {"cell_type": "code", "execution_count": 4, "id": "fe368042", "metadata": {"tags": []}, "outputs": [], "source": ["from langchain.vectorstores import Chroma\n", "from langchain.embeddings.openai import OpenAIEmbeddings\n", "persist_directory = 'docs/chroma/cs229_lectures/'\n", "persist_directory_chinese = 'docs/chroma/matplotlib/'"]}, {"attachments": {}, "cell_type": "markdown", "id": "5ba63e21", "metadata": {}, "source": ["\u5c06\u4e0a\u8282\u8bfe\u6240\u4fdd\u5b58\u7684\u5411\u91cf\u6570\u636e\u5e93(`VectorDB`)\u52a0\u8f7d\u8fdb\u6765"]}, {"cell_type": "code", "execution_count": 5, "id": "a0189dc5", "metadata": {"tags": []}, "outputs": [], "source": ["embedding = OpenAIEmbeddings()"]}, {"cell_type": "code", "execution_count": 6, "id": "2be10170", "metadata": {}, "outputs": [], "source": ["vectordb = Chroma(\n", "    persist_directory=persist_directory,\n", "    embedding_function=embedding\n", ")"]}, {"cell_type": "code", "execution_count": 7, "id": "3659e0f7", "metadata": {"tags": []}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["209\n"]}], "source": ["print(vectordb._collection.count())"]}, {"cell_type": "code", "execution_count": 8, "id": "a01ab000", "metadata": {}, "outputs": [], "source": ["vectordb_chinese = Chroma(\n", "    persist_directory=persist_directory_chinese,\n", "    embedding_function=embedding\n", ")"]}, {"cell_type": "code", "execution_count": 9, "id": "a6998a03", "metadata": {}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["27\n"]}], "source": ["print(vectordb_chinese._collection.count())"]}, {"attachments": {}, "cell_type": "markdown", "id": "9ae4fdd8", "metadata": {}, "source": ["\u8ba9\u6211\u4eec\u73b0\u5728\u6765\u770b\u770b\u6700\u5927\u8fb9\u9645\u76f8\u5173\u6027\u7684\u4f8b\u5b50\u3002\u56e0\u6b64\uff0c\u6211\u4eec\u5c06\u4ece\u4e0b\u9762\u793a\u4f8b\u4e2d\u52a0\u8f7d\u6709\u5173\u8611\u83c7\u7684\u4fe1\u606f\u3002\n", "\n", "\u8ba9\u6211\u4eec\u73b0\u5728\u8fd0\u884c\u5b83\u4e0eMMR\u3002\u8ba9\u6211\u4eec\u4f20\u5165k\u7b49\u4e8e2\u3002\u6211\u4eec\u4ecd\u7136\u5e0c\u671b\u8fd4\u56de\u4e24\u4e2a\u6587\u6863\uff0c\u4f46\u8ba9\u6211\u4eec\u8bbe\u7f6e\u83b7\u53d6k\u7b49\u4e8e3\uff0c\u5176\u4e2d\u6211\u4eec\u6700\u521d\u83b7\u53d6\u6240\u6709\u4e09\u4e2a\u6587\u6863\u3002\u6211\u4eec\u73b0\u5728\u53ef\u4ee5\u770b\u5230\uff0c\u6211\u4eec\u68c0\u7d22\u7684\u6587\u6863\u4e2d\u8fd4\u56de\u4e86\u6709\u6bd2\u7684\u4fe1\u606f\u3002"]}, {"cell_type": "code", "execution_count": 10, "id": "a807c758", "metadata": {"tags": []}, "outputs": [], "source": ["texts = [\n", "    \"\"\"The Amanita phalloides has a large and imposing epigeous (aboveground) fruiting body (basidiocarp).\"\"\",\n", "    \"\"\"A mushroom with a large fruiting body is the Amanita phalloides. Some varieties are all-white.\"\"\",\n", "    \"\"\"A. phalloides, a.k.a Death Cap, is one of the most poisonous of all known mushrooms.\"\"\",\n", "]"]}, {"cell_type": "code", "execution_count": 11, "id": "b110cceb", "metadata": {}, "outputs": [], "source": ["texts_chinese = [\n", "    \"\"\"\u6bd2\u9e45\u818f\u83cc\uff08Amanita phalloides\uff09\u5177\u6709\u5927\u578b\u4e14\u5f15\u4eba\u6ce8\u76ee\u7684\u5730\u4e0a\uff08epigeous\uff09\u5b50\u5b9e\u4f53\uff08basidiocarp\uff09\"\"\",\n", "    \"\"\"\u4e00\u79cd\u5177\u6709\u5927\u578b\u5b50\u5b9e\u4f53\u7684\u8611\u83c7\u662f\u6bd2\u9e45\u818f\u83cc\uff08Amanita phalloides\uff09\u3002\u67d0\u4e9b\u54c1\u79cd\u5168\u767d\u3002\"\"\",\n", "    \"\"\"A. phalloides\uff0c\u53c8\u540d\u6b7b\u4ea1\u5e3d\uff0c\u662f\u5df2\u77e5\u6240\u6709\u8611\u83c7\u4e2d\u6700\u6709\u6bd2\u7684\u4e00\u79cd\u3002\"\"\",\n", "]"]}, {"attachments": {}, "cell_type": "markdown", "id": "84cd5f1c", "metadata": {}, "source": ["\u5bf9\u4e8e\u8fd9\u4e2a\u4f8b\u5b50\uff0c\u6211\u4eec\u5c06\u521b\u5efa\u4e00\u4e2a\u5c0f\u6570\u636e\u5e93\uff0c\u6211\u4eec\u53ef\u4ee5\u4f5c\u4e3a\u4e00\u4e2a\u793a\u4f8b\u6765\u4f7f\u7528\u3002"]}, {"cell_type": "code", "execution_count": 12, "id": "715d54f3", "metadata": {"tags": []}, "outputs": [{"name": "stderr", "output_type": "stream", "text": ["100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 1/1 [00:00<00:00,  1.28it/s]\n"]}], "source": ["smalldb = Chroma.from_texts(texts, embedding=embedding)"]}, {"cell_type": "code", "execution_count": 13, "id": "305e1714", "metadata": {}, "outputs": [{"name": "stderr", "output_type": "stream", "text": ["100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 1/1 [00:00<00:00,  2.30it/s]\n"]}], "source": ["smalldb_chinese = Chroma.from_texts(texts_chinese, embedding=embedding)"]}, {"attachments": {}, "cell_type": "markdown", "id": "239a8d95", "metadata": {}, "source": ["\u4e0b\u9762\u662f\u6211\u4eec\u5bf9\u4e8e\u8fd9\u4e2a\u793a\u4f8b\u6240\u63d0\u51fa\u7684\u95ee\u9898"]}, {"cell_type": "code", "execution_count": 14, "id": "9a37b5a5", "metadata": {"tags": []}, "outputs": [], "source": ["question = \"Tell me about all-white mushrooms with large fruiting bodies\""]}, {"cell_type": "code", "execution_count": 15, "id": "92312e57", "metadata": {}, "outputs": [], "source": ["question_chinese = \"\u544a\u8bc9\u6211\u5173\u4e8e\u5177\u6709\u5927\u578b\u5b50\u5b9e\u4f53\u7684\u5168\u767d\u8272\u8611\u83c7\u7684\u4fe1\u606f\""]}, {"attachments": {}, "cell_type": "markdown", "id": "d3224a6d", "metadata": {}, "source": ["\u73b0\u5728\uff0c\u6211\u4eec\u53ef\u4ee5\u8fd0\u884c\u4e00\u4e2a\u76f8\u4f3c\u6027\u641c\u7d22\uff0c\u8bbe\u7f6ek=2\uff0c\u53ea\u8fd4\u56de\u4e24\u4e2a\u6700\u76f8\u5173\u7684\u6587\u6863\u3002\n", "\n", "\u6211\u4eec\u53ef\u4ee5\u770b\u5230\uff0c\u6ca1\u6709\u63d0\u5230\u5b83\u662f\u6709\u6bd2\u7684\u4e8b\u5b9e\u3002"]}, {"cell_type": "code", "execution_count": 16, "id": "24e3b025", "metadata": {"tags": []}, "outputs": [{"data": {"text/plain": ["[Document(page_content='A mushroom with a large fruiting body is the Amanita phalloides. Some varieties are all-white.', metadata={}),\n", " Document(page_content='The Amanita phalloides has a large and imposing epigeous (aboveground) fruiting body (basidiocarp).', metadata={})]"]}, "execution_count": 16, "metadata": {}, "output_type": "execute_result"}], "source": ["smalldb.similarity_search(question, k=2)"]}, {"cell_type": "code", "execution_count": 17, "id": "d4c5a47d", "metadata": {}, "outputs": [{"data": {"text/plain": ["[Document(page_content='\u4e00\u79cd\u5177\u6709\u5927\u578b\u5b50\u5b9e\u4f53\u7684\u8611\u83c7\u662f\u6bd2\u9e45\u818f\u83cc\uff08Amanita phalloides\uff09\u3002\u67d0\u4e9b\u54c1\u79cd\u5168\u767d\u3002', metadata={}),\n", " Document(page_content='\u6bd2\u9e45\u818f\u83cc\uff08Amanita phalloides\uff09\u5177\u6709\u5927\u578b\u4e14\u5f15\u4eba\u6ce8\u76ee\u7684\u5730\u4e0a\uff08epigeous\uff09\u5b50\u5b9e\u4f53\uff08basidiocarp\uff09', metadata={})]"]}, "execution_count": 17, "metadata": {}, "output_type": "execute_result"}], "source": ["smalldb_chinese.similarity_search(question_chinese, k=2)"]}, {"attachments": {}, "cell_type": "markdown", "id": "bbb0ea94", "metadata": {}, "source": ["\u73b0\u5728\uff0c\u8ba9\u6211\u4eec\u8fd0\u884c\u6700\u5927\u8fb9\u9645\u76f8\u5173\u6027(MMR)\u3002\n", "\n", "\u8bbe\u7f6ek=2\uff0c\u56e0\u4e3a\u6211\u4eec\u4ecd\u7136\u5e0c\u671b\u8fd4\u56de\u4e24\u4e2a\u6587\u6863\u3002\u8bbe\u7f6efetch_k=3\uff0cfetch_k\u662f\u6211\u4eec\u6700\u521d\u83b7\u53d6\u7684\u6240\u6709\u6587\u6863(3\u4e2a)\u3002"]}, {"cell_type": "code", "execution_count": 18, "id": "4daa6c0d", "metadata": {"tags": []}, "outputs": [{"data": {"text/plain": ["[Document(page_content='A mushroom with a large fruiting body is the Amanita phalloides. Some varieties are all-white.', metadata={}),\n", " Document(page_content='A. phalloides, a.k.a Death Cap, is one of the most poisonous of all known mushrooms.', metadata={})]"]}, "execution_count": 18, "metadata": {}, "output_type": "execute_result"}], "source": ["smalldb.max_marginal_relevance_search(question,k=2, fetch_k=3)"]}, {"cell_type": "code", "execution_count": 19, "id": "e15521d2", "metadata": {}, "outputs": [{"data": {"text/plain": ["[Document(page_content='\u4e00\u79cd\u5177\u6709\u5927\u578b\u5b50\u5b9e\u4f53\u7684\u8611\u83c7\u662f\u6bd2\u9e45\u818f\u83cc\uff08Amanita phalloides\uff09\u3002\u67d0\u4e9b\u54c1\u79cd\u5168\u767d\u3002', metadata={}),\n", " Document(page_content='A. phalloides\uff0c\u53c8\u540d\u6b7b\u4ea1\u5e3d\uff0c\u662f\u5df2\u77e5\u6240\u6709\u8611\u83c7\u4e2d\u6700\u6709\u6bd2\u7684\u4e00\u79cd\u3002', metadata={})]"]}, "execution_count": 19, "metadata": {}, "output_type": "execute_result"}], "source": ["smalldb_chinese.max_marginal_relevance_search(question,k=2, fetch_k=3)"]}, {"attachments": {}, "cell_type": "markdown", "id": "e87c5f91", "metadata": {}, "source": ["\u6211\u4eec\u73b0\u5728\u53ef\u4ee5\u770b\u5230\uff0c\u6211\u4eec\u68c0\u7d22\u7684\u6587\u6863\u4e2d\u8fd4\u56de\u4e86\u6709\u6bd2\u7684\u4fe1\u606f\u3002"]}, {"attachments": {}, "cell_type": "markdown", "id": "5a29e8c9", "metadata": {}, "source": ["### 1.2 \u89e3\u51b3\u591a\u6837\u6027\uff1a\u6700\u5927\u8fb9\u9645\u76f8\u5173\u6027(MMR)"]}, {"attachments": {}, "cell_type": "markdown", "id": "a2b5c4ae", "metadata": {}, "source": ["\n", "\u6211\u4eec\u521a\u521a\u901a\u8fc7\u4e00\u4e2a\u793a\u4f8b\u5f15\u51fa\u4e86\u4e00\u4e2a\u95ee\u9898\uff1a\u5982\u4f55\u52a0\u5f3a\u641c\u7d22\u7ed3\u679c\u7684\u591a\u6837\u6027\u3002\n", " \n", "\u6700\u5927\u8fb9\u9645\u76f8\u5173\u6027(`Maximum marginal relevance`)\u8bd5\u56fe\u5728\u67e5\u8be2\u7684\u76f8\u5173\u6027\u548c\u7ed3\u679c\u7684\u591a\u6837\u6027\u4e4b\u95f4\u5b9e\u73b0\u4e24\u5168\u5176\u7f8e\u3002"]}, {"attachments": {}, "cell_type": "markdown", "id": "2360545c", "metadata": {}, "source": ["\u8ba9\u6211\u4eec\u56de\u5230\u4e0a\u4e00\u8282\u8bfe\u7684\u4e00\u4e2a\u4f8b\u5b50\uff0c\u5f53\u6211\u4eec\u901a\u8fc7\u95ee\u9898\u5bf9\u5411\u91cf\u6570\u636e\u5e93\u8fdb\u884c\u76f8\u4f3c\u6027\u641c\u7d22\u540e\n", "\n", "\u6211\u4eec\u53ef\u4ee5\u770b\u770b\u524d\u4e24\u4e2a\u6587\u6863\uff0c\u53ea\u770b\u524d\u51e0\u4e2a\u5b57\u7b26\uff0c\u53ef\u4ee5\u770b\u5230\u5b83\u4eec\u662f\u76f8\u540c\u7684\u3002"]}, {"cell_type": "code", "execution_count": 20, "id": "9bb2c0a9", "metadata": {"tags": []}, "outputs": [], "source": ["question = \"what did they say about matlab?\"\n", "docs_ss = vectordb.similarity_search(question,k=3)"]}, {"cell_type": "code", "execution_count": 21, "id": "f07f8793", "metadata": {"tags": []}, "outputs": [{"data": {"text/plain": ["'those homeworks will be done in either MATLA B or in Octave, which is sort of \u2014 I \\nknow some people '"]}, "execution_count": 21, "metadata": {}, "output_type": "execute_result"}], "source": ["docs_ss[0].page_content[:100]"]}, {"cell_type": "code", "execution_count": 22, "id": "e9f7e165", "metadata": {"tags": []}, "outputs": [{"data": {"text/plain": ["'those homeworks will be done in either MATLA B or in Octave, which is sort of \u2014 I \\nknow some people '"]}, "execution_count": 22, "metadata": {}, "output_type": "execute_result"}], "source": ["docs_ss[1].page_content[:100]"]}, {"cell_type": "code", "execution_count": 23, "id": "e8e142eb", "metadata": {}, "outputs": [], "source": ["question_chinese = \"Matplotlib\u662f\u4ec0\u4e48\uff1f\"\n", "docs_ss_chinese = vectordb_chinese.similarity_search(question_chinese,k=3)"]}, {"cell_type": "code", "execution_count": 24, "id": "cf642f66", "metadata": {}, "outputs": [{"data": {"text/plain": ["'\u7b2c\u2f00\u56de\uff1aMatplotlib \u521d\u76f8\u8bc6\\n\u2f00\u3001\u8ba4\u8bc6matplotlib\\nMatplotlib \u662f\u2f00\u4e2a Python 2D \u7ed8\u56fe\u5e93\uff0c\u80fd\u591f\u4ee5\u591a\u79cd\u786c\u62f7\u2ec9\u683c\u5f0f\u548c\u8de8\u5e73\u53f0\u7684\u4ea4\u4e92\u5f0f\u73af\u5883\u2f63\u6210\u51fa\u7248\u7269\u8d28\u91cf\u7684\u56fe\u5f62\uff0c\u2f64\u6765\u7ed8\u5236\u5404\u79cd'"]}, "execution_count": 24, "metadata": {}, "output_type": "execute_result"}], "source": ["docs_ss_chinese[0].page_content[:100]"]}, {"cell_type": "code", "execution_count": 25, "id": "1e9f5cfe", "metadata": {}, "outputs": [{"data": {"text/plain": ["'\u7b2c\u2f00\u56de\uff1aMatplotlib \u521d\u76f8\u8bc6\\n\u2f00\u3001\u8ba4\u8bc6matplotlib\\nMatplotlib \u662f\u2f00\u4e2a Python 2D \u7ed8\u56fe\u5e93\uff0c\u80fd\u591f\u4ee5\u591a\u79cd\u786c\u62f7\u2ec9\u683c\u5f0f\u548c\u8de8\u5e73\u53f0\u7684\u4ea4\u4e92\u5f0f\u73af\u5883\u2f63\u6210\u51fa\u7248\u7269\u8d28\u91cf\u7684\u56fe\u5f62\uff0c\u2f64\u6765\u7ed8\u5236\u5404\u79cd'"]}, "execution_count": 25, "metadata": {}, "output_type": "execute_result"}], "source": ["docs_ss_chinese[1].page_content[:100]"]}, {"attachments": {}, "cell_type": "markdown", "id": "4c4ca1b6", "metadata": {}, "source": ["\u6ce8\u610f\uff1a\u4f7f\u7528`MMR`\u6240\u5f97\u51fa\u7ed3\u679c\u7684\u5dee\u5f02\u3002"]}, {"cell_type": "code", "execution_count": 26, "id": "222234c5", "metadata": {"tags": []}, "outputs": [], "source": ["docs_mmr = vectordb.max_marginal_relevance_search(question,k=3)"]}, {"cell_type": "code", "execution_count": 27, "id": "408935bc", "metadata": {}, "outputs": [], "source": ["docs_mmr_chinese = vectordb_chinese.max_marginal_relevance_search(question_chinese,k=3)"]}, {"attachments": {}, "cell_type": "markdown", "id": "9076db81", "metadata": {}, "source": ["\u5f53\u6211\u4eec\u8fd0\u884cMMR\u540e\u5f97\u5230\u7ed3\u679c\u65f6\uff0c\u6211\u4eec\u53ef\u4ee5\u770b\u5230\u7b2c\u4e00\u4e2a\u4e0e\u4e4b\u524d\u7684\u76f8\u540c\uff0c\u56e0\u4e3a\u90a3\u662f\u6700\u76f8\u4f3c\u7684\u3002"]}, {"cell_type": "code", "execution_count": 28, "id": "93b20226", "metadata": {"tags": []}, "outputs": [{"data": {"text/plain": ["'those homeworks will be done in either MATLA B or in Octave, which is sort of \u2014 I \\nknow some people '"]}, "execution_count": 28, "metadata": {}, "output_type": "execute_result"}], "source": ["docs_mmr[0].page_content[:100]"]}, {"cell_type": "code", "execution_count": 29, "id": "d0acfaab", "metadata": {}, "outputs": [{"data": {"text/plain": ["'\u7b2c\u2f00\u56de\uff1aMatplotlib \u521d\u76f8\u8bc6\\n\u2f00\u3001\u8ba4\u8bc6matplotlib\\nMatplotlib \u662f\u2f00\u4e2a Python 2D \u7ed8\u56fe\u5e93\uff0c\u80fd\u591f\u4ee5\u591a\u79cd\u786c\u62f7\u2ec9\u683c\u5f0f\u548c\u8de8\u5e73\u53f0\u7684\u4ea4\u4e92\u5f0f\u73af\u5883\u2f63\u6210\u51fa\u7248\u7269\u8d28\u91cf\u7684\u56fe\u5f62\uff0c\u2f64\u6765\u7ed8\u5236\u5404\u79cd'"]}, "execution_count": 29, "metadata": {}, "output_type": "execute_result"}], "source": ["docs_mmr_chinese[0].page_content[:100]"]}, {"attachments": {}, "cell_type": "markdown", "id": "7a93743f", "metadata": {}, "source": ["\u4f46\u662f\u5f53\u6211\u4eec\u8fdb\u884c\u5230\u7b2c\u4e8c\u4e2a\u65f6\uff0c\u6211\u4eec\u53ef\u4ee5\u770b\u5230\u5b83\u662f\u4e0d\u540c\u7684\u3002\n", "\n", "\u5b83\u5728\u56de\u5e94\u4e2d\u83b7\u5f97\u4e86\u4e00\u4e9b\u591a\u6837\u6027\u3002"]}, {"cell_type": "code", "execution_count": 30, "id": "17d39762", "metadata": {"tags": []}, "outputs": [{"data": {"text/plain": ["'algorithm then? So what\u2019s different? How come  I was making all that noise earlier about \\nleast squa'"]}, "execution_count": 30, "metadata": {}, "output_type": "execute_result"}], "source": ["docs_mmr[1].page_content[:100]"]}, {"cell_type": "code", "execution_count": 31, "id": "93d3206c", "metadata": {}, "outputs": [{"data": {"text/plain": ["'By Datawhale \u6570\u636e\u53ef\u89c6\u5316\u5f00\u6e90\u2f29\u7ec4\\n\u00a9 Copyright \u00a9 Copyright 2021.y\u8f74\u5206\u4e3a\u5de6\u53f3\u4e24\u4e2a\uff0c\u56e0\u6b64 tick1 \u5bf9\u5e94\u5de6\u4fa7\u7684\u8f74\uff1b tick2 \u5bf9\u5e94\u53f3\u4fa7\u7684\u8f74\u3002\\nx\u8f74\u5206\u4e3a\u4e0a\u4e0b\u4e24\u4e2a'"]}, "execution_count": 31, "metadata": {}, "output_type": "execute_result"}], "source": ["docs_mmr_chinese[1].page_content[:100]"]}, {"attachments": {}, "cell_type": "markdown", "id": "b2b909bc", "metadata": {}, "source": ["### 1.3 \u89e3\u51b3\u7279\u6b8a\u6027\uff1a\u4f7f\u7528\u5143\u6570\u636e"]}, {"attachments": {}, "cell_type": "markdown", "id": "7b63c5ee", "metadata": {}, "source": ["\n", "\u5728\u4e0a\u4e00\u8282\u8bfe\u4e2d\uff0c\u6211\u4eec\u5c55\u793a\u4e86\u4e00\u4e2a\u95ee\u9898\uff0c\u662f\u8be2\u95ee\u4e86\u5173\u4e8e\u6587\u6863\u4e2d\u67d0\u4e00\u8bb2\u7684\u95ee\u9898\uff0c\u4f46\u5f97\u5230\u7684\u7ed3\u679c\u4e2d\u4e5f\u5305\u62ec\u4e86\u6765\u81ea\u5176\u4ed6\u8bb2\u7684\u7ed3\u679c\u3002\n", "\n", "\u4e3a\u4e86\u89e3\u51b3\u8fd9\u4e00\u95ee\u9898\uff0c\u5f88\u591a\u5411\u91cf\u6570\u636e\u5e93\u90fd\u652f\u6301\u5bf9`metadata`\u7684\u64cd\u4f5c\u3002\n", "\n", "`metadata`\u4e3a\u6bcf\u4e2a\u5d4c\u5165\u7684\u5757(embedded chunk)\u63d0\u4f9b\u4e0a\u4e0b\u6587\u3002"]}, {"cell_type": "code", "execution_count": 32, "id": "3c1a60b2", "metadata": {"tags": []}, "outputs": [], "source": ["question = \"what did they say about regression in the third lecture?\""]}, {"cell_type": "code", "execution_count": 33, "id": "ba98df3c", "metadata": {}, "outputs": [], "source": ["question_chinese = \"\u4ed6\u4eec\u5728\u7b2c\u4e8c\u8bb2\u4e2d\u5bf9Figure\u8bf4\u4e86\u4e9b\u4ec0\u4e48\uff1f\"  "]}, {"attachments": {}, "cell_type": "markdown", "id": "3873525e", "metadata": {}, "source": ["\u73b0\u5728\uff0c\u6211\u4eec\u4ee5\u624b\u52a8\u7684\u65b9\u5f0f\u6765\u89e3\u51b3\u8fd9\u4e2a\u95ee\u9898\uff0c\u6211\u4eec\u4f1a\u6307\u5b9a\u4e00\u4e2a\u5143\u6570\u636e\u8fc7\u6ee4\u5668`filter`"]}, {"cell_type": "code", "execution_count": 34, "id": "a8612840", "metadata": {"tags": []}, "outputs": [], "source": ["docs = vectordb.similarity_search(\n", "    question,\n", "    k=3,\n", "    filter={\"source\":\"docs/cs229_lectures/MachineLearning-Lecture03.pdf\"}\n", ")"]}, {"cell_type": "code", "execution_count": 35, "id": "b46c7e76", "metadata": {}, "outputs": [], "source": ["docs_chinese = vectordb_chinese.similarity_search(\n", "    question_chinese,\n", "    k=3,\n", "    filter={\"source\":\"docs/matplotlib/\u7b2c\u4e8c\u56de\uff1a\u827a\u672f\u753b\u7b14\u89c1\u4e7e\u5764.pdf\"}\n", ")"]}, {"attachments": {}, "cell_type": "markdown", "id": "869aee28", "metadata": {}, "source": ["\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u53ef\u4ee5\u770b\u5230\u7ed3\u679c\u90fd\u6765\u81ea\u5bf9\u5e94\u7684\u7ae0\u8282"]}, {"cell_type": "code", "execution_count": 36, "id": "97031876", "metadata": {"tags": []}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["{'source': 'docs/cs229_lectures/MachineLearning-Lecture03.pdf', 'page': 0}\n", "{'source': 'docs/cs229_lectures/MachineLearning-Lecture03.pdf', 'page': 14}\n", "{'source': 'docs/cs229_lectures/MachineLearning-Lecture03.pdf', 'page': 4}\n"]}], "source": ["for d in docs:\n", "    print(d.metadata)"]}, {"cell_type": "code", "execution_count": 35, "id": "2708f6ae", "metadata": {}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["{'source': 'docs/matplotlib/\u7b2c\u4e8c\u56de\uff1a\u827a\u672f\u753b\u7b14\u89c1\u4e7e\u5764.pdf', 'page': 9}\n", "{'source': 'docs/matplotlib/\u7b2c\u4e8c\u56de\uff1a\u827a\u672f\u753b\u7b14\u89c1\u4e7e\u5764.pdf', 'page': 10}\n", "{'source': 'docs/matplotlib/\u7b2c\u4e8c\u56de\uff1a\u827a\u672f\u753b\u7b14\u89c1\u4e7e\u5764.pdf', 'page': 0}\n"]}], "source": ["for d in docs_chinese:\n", "    print(d.metadata)\n", "    "]}, {"attachments": {}, "cell_type": "markdown", "id": "5e299f8e", "metadata": {}, "source": ["\u5f53\u7136\uff0c\u6211\u4eec\u4e0d\u80fd\u6bcf\u6b21\u90fd\u91c7\u7528\u624b\u52a8\u7684\u65b9\u5f0f\u6765\u89e3\u51b3\u8fd9\u4e2a\u95ee\u9898\uff0c\u8fd9\u4f1a\u663e\u5f97\u4e0d\u591f\u667a\u80fd\n", "\n", "\u4e0b\u4e00\u5c0f\u8282\u5c06\u8981\u5c55\u793a\u901a\u8fc7LLM\u6765\u89e3\u51b3\u8fd9\u4e2a\u95ee\u9898"]}, {"attachments": {}, "cell_type": "markdown", "id": "ccc2d784", "metadata": {}, "source": ["### 1.4 \u89e3\u51b3\u7279\u6b8a\u6027\uff1a\u5728\u5143\u6570\u636e\u4e2d\u4f7f\u7528\u81ea\u67e5\u8be2\u68c0\u7d22\u5668"]}, {"attachments": {}, "cell_type": "markdown", "id": "82ef44b6", "metadata": {}, "source": ["\u6211\u4eec\u6709\u4e00\u4e2a\u6709\u8da3\u7684\u6311\u6218\uff1a\u6211\u4eec\u901a\u5e38\u5e0c\u671b\u4ece\u67e5\u8be2\u672c\u8eab\u6765\u63a8\u65ad\u5143\u6570\u636e\u3002\n", "\n", "\u4e3a\u4e86\u89e3\u51b3\u8fd9\u4e2a\u95ee\u9898\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528SelfQueryRetriever\uff0c\u5b83\u4f7f\u7528LLM\u6765\u63d0\u53d6\uff1a\n", " \n", "1. \u7528\u4e8e\u5411\u91cf\u641c\u7d22\u7684\u67e5\u8be2(`query`)\u5b57\u7b26\u4e32\uff0c\u5373\uff1a\u95ee\u9898\n", "2. \u8981\u4e00\u8d77\u4f20\u5165\u7684\u5143\u6570\u636e\u8fc7\u6ee4\u5668\n", "\n", "\u5927\u591a\u6570\u5411\u91cf\u6570\u636e\u5e93\u652f\u6301\u5143\u6570\u636e\u8fc7\u6ee4\u5668\uff0c\u56e0\u6b64\u4e0d\u9700\u8981\u4efb\u4f55\u65b0\u7684\u6570\u636e\u5e93\u53ca\u7d22\u5f15\u3002"]}, {"cell_type": "code", "execution_count": 38, "id": "b1d06084", "metadata": {"tags": []}, "outputs": [], "source": ["from langchain.llms import OpenAI\n", "from langchain.retrievers.self_query.base import SelfQueryRetriever\n", "from langchain.chains.query_constructor.base import AttributeInfo"]}, {"cell_type": "code", "execution_count": 39, "id": "869c27c0", "metadata": {}, "outputs": [], "source": ["llm = OpenAI(temperature=0)"]}, {"attachments": {}, "cell_type": "markdown", "id": "acd194c5", "metadata": {}, "source": ["`AttributeInfo`\u662f\u6211\u4eec\u53ef\u4ee5\u6307\u5b9a\u5143\u6570\u636e\u4e2d\u7684\u4e0d\u540c\u5b57\u6bb5\u4ee5\u53ca\u5b83\u4eec\u5bf9\u5e94\u7684\u4f4d\u7f6e\u3002\n", "\n", "\u5728\u5143\u6570\u636e\u4e2d\uff0c\u6211\u4eec\u53ea\u6709\u4e24\u4e2a\u5b57\u6bb5\uff0c`source`\u548c`page`\u3002\n", "\n", "\u6211\u4eec\u5c06\u586b\u5199\u6bcf\u4e2a\u5c5e\u6027\u7684\u540d\u79f0\u3001\u63cf\u8ff0\u548c\u7c7b\u578b\u7684\u63cf\u8ff0\u3002\n", "\n", "\u8fd9\u4e9b\u4fe1\u606f\u5b9e\u9645\u4e0a\u5c06\u88ab\u4f20\u9012\u7ed9LLM\uff0c\u6240\u4ee5\u9700\u8981\u5c3d\u53ef\u80fd\u8be6\u7ec6\u5730\u63cf\u8ff0\u3002"]}, {"cell_type": "code", "execution_count": 40, "id": "0aa5e698", "metadata": {"tags": []}, "outputs": [], "source": ["metadata_field_info = [\n", "    AttributeInfo(\n", "        name=\"source\",\n", "        description=\"The lecture the chunk is from, should be one of `docs/cs229_lectures/MachineLearning-Lecture01.pdf`, `docs/cs229_lectures/MachineLearning-Lecture02.pdf`, or `docs/cs229_lectures/MachineLearning-Lecture03.pdf`\",\n", "        type=\"string\",\n", "    ),\n", "    AttributeInfo(\n", "        name=\"page\",\n", "        description=\"The page from the lecture\",\n", "        type=\"integer\",\n", "    ),\n", "]"]}, {"cell_type": "code", "execution_count": 41, "id": "544ad7c1", "metadata": {}, "outputs": [], "source": ["metadata_field_info_chinese = [\n", "    AttributeInfo(\n", "        name=\"source\",\n", "        description=\"\u8bb2\u4e49\u6765\u6e90\u4e8e `docs/matplotlib/\u7b2c\u4e00\u56de\uff1aMatplotlib\u521d\u76f8\u8bc6.pdf`, `docs/matplotlib/\u7b2c\u4e8c\u56de\uff1a\u827a\u672f\u753b\u7b14\u89c1\u4e7e\u5764.pdf`, or `docs/matplotlib/\u7b2c\u4e09\u56de\uff1a\u5e03\u5c40\u683c\u5f0f\u5b9a\u65b9\u5706.pdf` \u7684\u5176\u4e2d\u4e4b\u4e00\",\n", "        type=\"string\",\n", "    ),\n", "    AttributeInfo(\n", "        name=\"page\",\n", "        description=\"\u8bb2\u4e49\u7684\u90a3\u4e00\u9875\",\n", "        type=\"integer\",\n", "    ),\n", "]"]}, {"cell_type": "code", "execution_count": 42, "id": "e7906c15", "metadata": {"tags": []}, "outputs": [], "source": ["document_content_description = \"Lecture notes\"\n", "retriever = SelfQueryRetriever.from_llm(\n", "    llm,\n", "    vectordb,\n", "    document_content_description,\n", "    metadata_field_info,\n", "    verbose=True\n", ")"]}, {"cell_type": "code", "execution_count": 43, "id": "d5b99571", "metadata": {}, "outputs": [], "source": ["document_content_description_chinese = \"\u8bfe\u5802\u8bb2\u4e49\"\n", "retriever_chinese = SelfQueryRetriever.from_llm(\n", "    llm,\n", "    vectordb_chinese,\n", "    document_content_description_chinese,\n", "    metadata_field_info_chinese,\n", "    verbose=True\n", ")"]}, {"cell_type": "code", "execution_count": 44, "id": "79d781b9", "metadata": {"tags": []}, "outputs": [], "source": ["question = \"what did they say about regression in the third lecture?\""]}, {"cell_type": "code", "execution_count": 45, "id": "8d9b7e18", "metadata": {}, "outputs": [], "source": ["question_chinese = \"\u4ed6\u4eec\u5728\u7b2c\u4e8c\u8bb2\u4e2d\u5bf9Figure\u8bf4\u4e86\u4e9b\u4ec0\u4e48\uff1f\"  "]}, {"attachments": {}, "cell_type": "markdown", "id": "c51778b0-1fcd-40a4-bd6b-0f13fec8acb1", "metadata": {}, "source": ["\u5f53\u4f60\u7b2c\u4e00\u6b21\u6267\u884c\u4e0b\u4e00\u884c\u65f6\uff0c\u4f60\u4f1a\u6536\u5230\u5173\u4e8epredict_and_parse\u5df2\u88ab\u5f03\u7528\u7684**\u8b66\u544a**\u3002 \u8fd9\u53ef\u4ee5\u5b89\u5168\u5730\u5ffd\u7565\u3002"]}, {"cell_type": "code", "execution_count": 46, "id": "1d4f9f7d", "metadata": {"tags": []}, "outputs": [{"name": "stderr", "output_type": "stream", "text": ["/root/autodl-tmp/env/gpt/lib/python3.10/site-packages/langchain/chains/llm.py:275: UserWarning: The predict_and_parse method is deprecated, instead pass an output parser directly to LLMChain.\n", "  warnings.warn(\n"]}, {"name": "stdout", "output_type": "stream", "text": ["query='regression' filter=Comparison(comparator=<Comparator.EQ: 'eq'>, attribute='source', value='docs/cs229_lectures/MachineLearning-Lecture03.pdf') limit=None\n"]}], "source": ["docs = retriever.get_relevant_documents(question)"]}, {"cell_type": "code", "execution_count": 47, "id": "ea39a97e", "metadata": {}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["query='Figure' filter=Comparison(comparator=<Comparator.EQ: 'eq'>, attribute='source', value='docs/matplotlib/\u7b2c\u4e8c\u8bb2\uff1a\u827a\u672f\u753b\u89e3\u7834.pdf') limit=None\n"]}], "source": ["docs_chinese = retriever_chinese.get_relevant_documents(question_chinese)"]}, {"cell_type": "code", "execution_count": 48, "id": "db04374e", "metadata": {"tags": []}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["{'source': 'docs/cs229_lectures/MachineLearning-Lecture03.pdf', 'page': 14}\n", "{'source': 'docs/cs229_lectures/MachineLearning-Lecture03.pdf', 'page': 0}\n", "{'source': 'docs/cs229_lectures/MachineLearning-Lecture03.pdf', 'page': 10}\n", "{'source': 'docs/cs229_lectures/MachineLearning-Lecture03.pdf', 'page': 10}\n"]}], "source": ["for d in docs:\n", "    print(d.metadata)"]}, {"cell_type": "code", "execution_count": 49, "id": "143061f5", "metadata": {}, "outputs": [], "source": ["for d in docs_chinese:\n", "    print(d.metadata)"]}, {"attachments": {}, "cell_type": "markdown", "id": "297b8168", "metadata": {}, "source": ["### 1.5 \u5176\u4ed6\u6280\u5de7\uff1a\u538b\u7f29"]}, {"attachments": {}, "cell_type": "markdown", "id": "564144da", "metadata": {}, "source": ["\u53e6\u4e00\u79cd\u63d0\u9ad8\u68c0\u7d22\u5230\u7684\u6587\u6863\u8d28\u91cf\u7684\u65b9\u6cd5\u662f\u538b\u7f29\u3002\n", "\n", "\u4e0e\u67e5\u8be2\u6700\u76f8\u5173\u7684\u4fe1\u606f\u53ef\u80fd\u9690\u85cf\u5728\u5177\u6709\u5927\u91cf\u4e0d\u76f8\u5173\u6587\u672c\u7684\u6587\u6863\u4e2d\u3002\n", "\n", "\u5728\u5e94\u7528\u7a0b\u5e8f\u4e2d\u4f20\u9012\u5b8c\u6574\u7684\u6587\u6863\u53ef\u80fd\u4f1a\u5bfc\u81f4\u66f4\u6602\u8d35\u7684LLM\u8c03\u7528\u548c\u66f4\u5dee\u7684\u54cd\u5e94\u3002\n", "\n", "\u4e0a\u4e0b\u6587\u538b\u7f29\u5c31\u662f\u4e3a\u4e86\u89e3\u51b3\u8fd9\u4e2a\u95ee\u9898\u3002"]}, {"cell_type": "code", "execution_count": 50, "id": "a060cf74", "metadata": {"tags": []}, "outputs": [], "source": ["from langchain.retrievers import ContextualCompressionRetriever\n", "from langchain.retrievers.document_compressors import LLMChainExtractor"]}, {"cell_type": "code", "execution_count": 51, "id": "038649c8", "metadata": {"tags": []}, "outputs": [], "source": ["def pretty_print_docs(docs):\n", "    print(f\"\\n{'-' * 100}\\n\".join([f\"Document {i+1}:\\n\\n\" + d.page_content for i, d in enumerate(docs)]))"]}, {"cell_type": "code", "execution_count": 52, "id": "fc686cf2", "metadata": {"tags": []}, "outputs": [], "source": ["llm = OpenAI(temperature=0)\n", "compressor = LLMChainExtractor.from_llm(llm)  # \u538b\u7f29\u5668"]}, {"cell_type": "code", "execution_count": 53, "id": "82794397", "metadata": {"tags": []}, "outputs": [], "source": ["compression_retriever = ContextualCompressionRetriever(\n", "    base_compressor=compressor,\n", "    base_retriever=vectordb.as_retriever()\n", ")"]}, {"cell_type": "code", "execution_count": 54, "id": "915598f8", "metadata": {}, "outputs": [], "source": ["compression_retriever_chinese = ContextualCompressionRetriever(\n", "    base_compressor=compressor,\n", "    base_retriever=vectordb_chinese.as_retriever()\n", ")"]}, {"cell_type": "code", "execution_count": 55, "id": "cde86848", "metadata": {"tags": []}, "outputs": [{"name": "stderr", "output_type": "stream", "text": ["/root/autodl-tmp/env/gpt/lib/python3.10/site-packages/langchain/chains/llm.py:275: UserWarning: The predict_and_parse method is deprecated, instead pass an output parser directly to LLMChain.\n", "  warnings.warn(\n"]}, {"name": "stdout", "output_type": "stream", "text": ["Document 1:\n", "\n", "\"MATLAB is I guess part of the programming language that makes it very easy to write codes using matrices, to write code for numerical routines, to move data around, to plot data. And it's sort of an extremely easy to learn tool to use for implementing a lot of learning algorithms.\"\n", "----------------------------------------------------------------------------------------------------\n", "Document 2:\n", "\n", "\"MATLAB is I guess part of the programming language that makes it very easy to write codes using matrices, to write code for numerical routines, to move data around, to plot data. And it's sort of an extremely easy to learn tool to use for implementing a lot of learning algorithms.\"\n", "----------------------------------------------------------------------------------------------------\n", "Document 3:\n", "\n", "\"And the student said, \"Oh, it was the MATLAB.\" So for those of you that don't know MATLAB yet, I hope you do learn it. It's not hard, and we'll actually have a short MATLAB tutorial in one of the discussion sections for those of you that don't know it.\"\n", "----------------------------------------------------------------------------------------------------\n", "Document 4:\n", "\n", "\"And the student said, \"Oh, it was the MATLAB.\" So for those of you that don't know MATLAB yet, I hope you do learn it. It's not hard, and we'll actually have a short MATLAB tutorial in one of the discussion sections for those of you that don't know it.\"\n"]}], "source": ["question = \"what did they say about matlab?\"\n", "compressed_docs = compression_retriever.get_relevant_documents(question)\n", "pretty_print_docs(compressed_docs)"]}, {"cell_type": "code", "execution_count": 56, "id": "39726b24", "metadata": {}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["Document 1:\n", "\n", "Matplotlib \u662f\u2f00\u4e2a Python 2D \u7ed8\u56fe\u5e93\uff0c\u80fd\u591f\u4ee5\u591a\u79cd\u786c\u62f7\u2ec9\u683c\u5f0f\u548c\u8de8\u5e73\u53f0\u7684\u4ea4\u4e92\u5f0f\u73af\u5883\u2f63\u6210\u51fa\u7248\u7269\u8d28\u91cf\u7684\u56fe\u5f62\uff0c\u2f64\u6765\u7ed8\u5236\u5404\u79cd\u9759\u6001\uff0c\u52a8\u6001\uff0c\u4ea4\u4e92\u5f0f\u7684\u56fe\u8868\u3002\n", "----------------------------------------------------------------------------------------------------\n", "Document 2:\n", "\n", "Matplotlib \u662f\u2f00\u4e2a Python 2D \u7ed8\u56fe\u5e93\uff0c\u80fd\u591f\u4ee5\u591a\u79cd\u786c\u62f7\u2ec9\u683c\u5f0f\u548c\u8de8\u5e73\u53f0\u7684\u4ea4\u4e92\u5f0f\u73af\u5883\u2f63\u6210\u51fa\u7248\u7269\u8d28\u91cf\u7684\u56fe\u5f62\uff0c\u2f64\u6765\u7ed8\u5236\u5404\u79cd\u9759\u6001\uff0c\u52a8\u6001\uff0c\u4ea4\u4e92\u5f0f\u7684\u56fe\u8868\u3002\n"]}], "source": ["question_chinese = \"Matplotlib\u662f\u4ec0\u4e48\uff1f\"\n", "compressed_docs_chinese = compression_retriever_chinese.get_relevant_documents(question_chinese)\n", "pretty_print_docs(compressed_docs_chinese)"]}, {"attachments": {}, "cell_type": "markdown", "id": "049b2601", "metadata": {}, "source": ["\u73b0\u5728\u5f53\u6211\u4eec\u63d0\u51fa\u95ee\u9898\u540e\uff0c\u67e5\u770b\u7ed3\u679c\u6587\u6863\n", "\n", "\u6211\u4eec\u53ef\u4ee5\u770b\u5230\u4e24\u4ef6\u4e8b\u3002\n", "\n", "1. \u5b83\u4eec\u6bd4\u6b63\u5e38\u6587\u6863\u77ed\u5f88\u591a\n", "2. \u4ecd\u7136\u6709\u4e00\u4e9b\u91cd\u590d\u7684\u4e1c\u897f\uff0c\u8fd9\u662f\u56e0\u4e3a\u5728\u5e95\u5c42\u6211\u4eec\u4f7f\u7528\u7684\u662f\u8bed\u4e49\u641c\u7d22\u7b97\u6cd5\u3002\n", "\n", "\u8fd9\u5c31\u662f\u6211\u4eec\u5728\u672c\u8bfe\u7a0b\u524d\u9762\u4f7f\u7528MMR\u89e3\u51b3\u7684\u95ee\u9898\u3002\n", "\n", "\u8fd9\u662f\u4e00\u4e2a\u5f88\u597d\u7684\u4f8b\u5b50\uff0c\u4f60\u53ef\u4ee5\u7ed3\u5408\u5404\u79cd\u6280\u672f\u5f97\u5230\u6700\u597d\u7684\u53ef\u80fd\u7ed3\u679c\u3002"]}, {"attachments": {}, "cell_type": "markdown", "id": "82c4fc4d", "metadata": {}, "source": ["## \u4e8c\u3001\u7ed3\u5408\u5404\u79cd\u6280\u672f"]}, {"attachments": {}, "cell_type": "markdown", "id": "54432975", "metadata": {}, "source": ["\u4e3a\u4e86\u505a\u5230\u8fd9\u4e00\u70b9\uff0c\u6211\u4eec\u5728\u4ece\u5411\u91cf\u6570\u636e\u5e93\u521b\u5efa\u68c0\u7d22\u5668\u65f6\uff0c\u53ef\u4ee5\u5c06\u641c\u7d22\u7c7b\u578b\u8bbe\u7f6e\u4e3aMMR\u3002\n", "\n", "\u7136\u540e\u6211\u4eec\u53ef\u4ee5\u91cd\u65b0\u8fd0\u884c\u8fd9\u4e2a\u8fc7\u7a0b\uff0c\u770b\u5230\u6211\u4eec\u8fd4\u56de\u7684\u662f\u4e00\u4e2a\u8fc7\u6ee4\u8fc7\u7684\u7ed3\u679c\u96c6\uff0c\u5176\u4e2d\u4e0d\u5305\u542b\u4efb\u4f55\u91cd\u590d\u7684\u4fe1\u606f\u3002"]}, {"cell_type": "code", "execution_count": 57, "id": "161ae1ad", "metadata": {"tags": []}, "outputs": [], "source": ["compression_retriever = ContextualCompressionRetriever(\n", "    base_compressor=compressor,\n", "    base_retriever=vectordb.as_retriever(search_type = \"mmr\")\n", ")"]}, {"cell_type": "code", "execution_count": 58, "id": "cd6396bb", "metadata": {}, "outputs": [], "source": ["compression_retriever_chinese = ContextualCompressionRetriever(\n", "    base_compressor=compressor,\n", "    base_retriever=vectordb_chinese.as_retriever(search_type = \"mmr\")\n", ")"]}, {"cell_type": "code", "execution_count": 59, "id": "e77ccae1", "metadata": {"tags": []}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["Document 1:\n", "\n", "\"MATLAB is I guess part of the programming language that makes it very easy to write codes using matrices, to write code for numerical routines, to move data around, to plot data. And it's sort of an extremely easy to learn tool to use for implementing a lot of learning algorithms.\"\n", "----------------------------------------------------------------------------------------------------\n", "Document 2:\n", "\n", "\"And the student said, \"Oh, it was the MATLAB.\" So for those of you that don't know MATLAB yet, I hope you do learn it. It's not hard, and we'll actually have a short MATLAB tutorial in one of the discussion sections for those of you that don't know it.\"\n"]}], "source": ["question = \"what did they say about matlab?\"\n", "compressed_docs = compression_retriever.get_relevant_documents(question)\n", "pretty_print_docs(compressed_docs)"]}, {"cell_type": "code", "execution_count": 60, "id": "fe68a14b", "metadata": {}, "outputs": [{"name": "stderr", "output_type": "stream", "text": ["Retrying langchain.llms.openai.completion_with_retry.<locals>._completion_with_retry in 4.0 seconds as it raised APIError: Request failed due to server shutdown {\n", "  \"error\": {\n", "    \"message\": \"Request failed due to server shutdown\",\n", "    \"type\": \"server_error\",\n", "    \"param\": null,\n", "    \"code\": null\n", "  }\n", "}\n", " 500 {'error': {'message': 'Request failed due to server shutdown', 'type': 'server_error', 'param': None, 'code': None}} {'Date': 'Sun, 16 Jul 2023 05:28:06 GMT', 'Content-Type': 'application/json', 'Content-Length': '141', 'Connection': 'keep-alive', 'access-control-allow-origin': '*', 'openai-model': 'text-davinci-003', 'openai-organization': 'user-xnghkpntwvm31crtmex7n2j0', 'openai-processing-ms': '1159', 'openai-version': '2020-10-01', 'strict-transport-security': 'max-age=15724800; includeSubDomains', 'x-ratelimit-limit-requests': '3000', 'x-ratelimit-limit-tokens': '250000', 'x-ratelimit-remaining-requests': '2999', 'x-ratelimit-remaining-tokens': '249744', 'x-ratelimit-reset-requests': '20ms', 'x-ratelimit-reset-tokens': '61ms', 'x-request-id': '22b2986140ddb5bcc689423e056b7daf', 'CF-Cache-Status': 'DYNAMIC', 'Server': 'cloudflare', 'CF-RAY': '7e77d6f7590b1ec8-NRT', 'alt-svc': 'h3=\":443\"; ma=86400'}.\n"]}, {"name": "stdout", "output_type": "stream", "text": ["Document 1:\n", "\n", "Matplotlib \u662f\u2f00\u4e2a Python 2D \u7ed8\u56fe\u5e93\uff0c\u80fd\u591f\u4ee5\u591a\u79cd\u786c\u62f7\u2ec9\u683c\u5f0f\u548c\u8de8\u5e73\u53f0\u7684\u4ea4\u4e92\u5f0f\u73af\u5883\u2f63\u6210\u51fa\u7248\u7269\u8d28\u91cf\u7684\u56fe\u5f62\uff0c\u2f64\u6765\u7ed8\u5236\u5404\u79cd\u9759\u6001\uff0c\u52a8\u6001\uff0c\u4ea4\u4e92\u5f0f\u7684\u56fe\u8868\u3002\n"]}], "source": ["question_chinese = \"Matplotlib\u662f\u4ec0\u4e48\uff1f\"\n", "compressed_docs_chinese = compression_retriever_chinese.get_relevant_documents(question_chinese)\n", "pretty_print_docs(compressed_docs_chinese)"]}, {"attachments": {}, "cell_type": "markdown", "id": "6c2b63e1", "metadata": {}, "source": ["## \u4e09\u3001\u5176\u4ed6\u7c7b\u578b\u7684\u68c0\u7d22"]}, {"attachments": {}, "cell_type": "markdown", "id": "3e777a7b", "metadata": {}, "source": ["\u503c\u5f97\u6ce8\u610f\u7684\u662f\uff0cvetordb\u5e76\u4e0d\u662f\u552f\u4e00\u4e00\u79cd\u68c0\u7d22\u6587\u6863\u7684\u5de5\u5177\u3002\n", "\n", "`LangChain`\u68c0\u7d22\u5668\u62bd\u8c61\u5305\u62ec\u5176\u4ed6\u68c0\u7d22\u6587\u6863\u7684\u65b9\u5f0f\uff0c\u5982\uff1a`TF-IDF` \u6216 `SVM`\u3002"]}, {"cell_type": "code", "execution_count": 61, "id": "83d2e808", "metadata": {"tags": []}, "outputs": [], "source": ["from langchain.retrievers import SVMRetriever\n", "from langchain.retrievers import TFIDFRetriever\n", "from langchain.document_loaders import PyPDFLoader\n", "from langchain.text_splitter import RecursiveCharacterTextSplitter"]}, {"cell_type": "code", "execution_count": 62, "id": "bcf5b760", "metadata": {"tags": []}, "outputs": [], "source": ["# \u52a0\u8f7dPDF\n", "loader = PyPDFLoader(\"docs/cs229_lectures/MachineLearning-Lecture01.pdf\")\n", "pages = loader.load()\n", "all_page_text = [p.page_content for p in pages]\n", "joined_page_text = \" \".join(all_page_text)\n", "\n", "# \u5206\u5272\u6587\u672c\n", "text_splitter = RecursiveCharacterTextSplitter(chunk_size = 1500,chunk_overlap = 150)\n", "splits = text_splitter.split_text(joined_page_text)\n"]}, {"cell_type": "code", "execution_count": 77, "id": "1657e768", "metadata": {}, "outputs": [], "source": ["# \u52a0\u8f7dPDF\n", "loader_chinese = PyPDFLoader(\"docs/matplotlib/\u7b2c\u4e00\u56de\uff1aMatplotlib\u521d\u76f8\u8bc6.pdf\")\n", "pages_chinese = loader_chinese.load()\n", "all_page_text_chinese = [p.page_content for p in pages_chinese]\n", "joined_page_text_chinese = \" \".join(all_page_text_chinese)\n", "\n", "# \u5206\u5272\u6587\u672c\n", "text_splitter_chinese = RecursiveCharacterTextSplitter(chunk_size = 1500,chunk_overlap = 150)\n", "splits_chinese = text_splitter_chinese.split_text(joined_page_text_chinese)"]}, {"cell_type": "code", "execution_count": 64, "id": "59abbaff", "metadata": {}, "outputs": [], "source": ["# \u68c0\u7d22\n", "svm_retriever = SVMRetriever.from_texts(splits, embedding)\n", "tfidf_retriever = TFIDFRetriever.from_texts(splits)"]}, {"cell_type": "code", "execution_count": 66, "id": "7885389e", "metadata": {}, "outputs": [{"data": {"text/plain": ["Document(page_content=\"let me just check what questions you have righ t now. So if there are no questions, I'll just \\nclose with two reminders, which are after class today or as you start to talk with other \\npeople in this class, I just encourage you again to start to form project partners, to try to \\nfind project partners to do your project with. And also, this is a good time to start forming \\nstudy groups, so either talk to your friends  or post in the newsgroup, but we just \\nencourage you to try to star t to do both of those today, okay? Form study groups, and try \\nto find two other project partners.  \\nSo thank you. I'm looking forward to teaching this class, and I'll see you in a couple of \\ndays.   [End of Audio]  \\nDuration: 69 minutes\", metadata={})"]}, "execution_count": 66, "metadata": {}, "output_type": "execute_result"}], "source": ["question = \"What are major topics for this class?\"  # \u8fd9\u95e8\u8bfe\u7684\u4e3b\u8981\u4e3b\u9898\u662f\u4ec0\u4e48\uff1f\n", "docs_svm = svm_retriever.get_relevant_documents(question)\n", "docs_svm[0]"]}, {"cell_type": "code", "execution_count": 67, "id": "2a1659c0", "metadata": {"tags": []}, "outputs": [{"data": {"text/plain": ["Document(page_content=\"Saxena and Min Sun here did, wh ich is given an image like this, right? This is actually a \\npicture taken of the Stanford campus. You can apply that sort of cl ustering algorithm and \\ngroup the picture into regions. Let me actually blow that up so that you can see it more \\nclearly. Okay. So in the middle, you see the lines sort of groupi ng the image together, \\ngrouping the image into [inaudible] regions.  \\nAnd what Ashutosh and Min did was they then  applied the learning algorithm to say can \\nwe take this clustering and us e it to build a 3D model of the world? And so using the \\nclustering, they then had a lear ning algorithm try to learn what the 3D structure of the \\nworld looks like so that they could come up with a 3D model that you can sort of fly \\nthrough, okay? Although many people used to th ink it's not possible to take a single \\nimage and build a 3D model, but using a lear ning algorithm and that sort of clustering \\nalgorithm is the first step. They were able to.  \\nI'll just show you one more example. I like this  because it's a picture of Stanford with our \\nbeautiful Stanford campus. So again, taking th e same sort of clustering algorithms, taking \\nthe same sort of unsupervised learning algor ithm, you can group the pixels into different \\nregions. And using that as a pre-processing step, they eventually built this sort of 3D model of Stanford campus in a single picture.  You can sort of walk  into the ceiling, look\", metadata={})"]}, "execution_count": 67, "metadata": {}, "output_type": "execute_result"}], "source": ["question = \"what did they say about matlab?\"  # \u4ed6\u4eec\u5173\u4e8eMatlab\u8bf4\u4e86\u4e9b\u4ec0\u4e48\uff1f\n", "docs_tfidf = tfidf_retriever.get_relevant_documents(question)\n", "docs_tfidf[0]"]}, {"cell_type": "code", "execution_count": 78, "id": "5ade9c87", "metadata": {}, "outputs": [], "source": ["# \u4e2d\u6587\u7248\n", "svm_retriever_chinese = SVMRetriever.from_texts(splits_chinese, embedding)\n", "tfidf_retriever_chinese = TFIDFRetriever.from_texts(splits_chinese)"]}, {"cell_type": "code", "execution_count": 79, "id": "cc823bea", "metadata": {}, "outputs": [{"data": {"text/plain": ["Document(page_content='fig, ax = plt.subplots()  \\n# step4 \u7ed8\u5236\u56fe\u50cf\uff0c  \u8fd9\u2f00\u6a21\u5757\u7684\u6269\u5c55\u53c2\u8003\u7b2c\u2f06\u7ae0\u8fdb\u2f00\u6b65\u5b66\u4e60\\nax.plot(x, y, label=\\'linear\\')  \\n# step5 \u6dfb\u52a0\u6807\u7b7e\uff0c\u2f42\u5b57\u548c\u56fe\u4f8b\uff0c\u8fd9\u2f00\u6a21\u5757\u7684\u6269\u5c55\u53c2\u8003\u7b2c\u56db\u7ae0\u8fdb\u2f00\u6b65\u5b66\u4e60\\nax.set_xlabel(\\'x label\\') \\nax.set_ylabel(\\'y label\\') \\nax.set_title(\"Simple Plot\")  \\nax.legend() ;\\n\u601d\u8003\u9898\\n\u8bf7\u601d\u8003\u4e24\u79cd\u7ed8\u56fe\u6a21\u5f0f\u7684\u4f18\u7f3a\u70b9\u548c\u5404\u2f83\u9002\u5408\u7684\u4f7f\u2f64\u573a\u666f\\n\u5728\u7b2c\u4e94\u8282\u7ed8\u56fe\u6a21\u677f\u4e2d\u6211\u4eec\u662f\u4ee5 OO \u6a21\u5f0f\u4f5c\u4e3a\u4f8b\u2f26\u5c55\u793a\u7684\uff0c\u8bf7\u601d\u8003\u5e76\u5199\u2f00\u4e2a pyplot \u7ed8\u56fe\u6a21\u5f0f\u7684\u7b80\u5355\u6a21\u677f', metadata={})"]}, "execution_count": 79, "metadata": {}, "output_type": "execute_result"}], "source": ["question_chinese = \"\u8fd9\u95e8\u8bfe\u7684\u4e3b\u8981\u4e3b\u9898\u662f\u4ec0\u4e48\uff1f\" \n", "docs_svm_chinese = svm_retriever_chinese.get_relevant_documents(question_chinese)\n", "docs_svm_chinese[0]"]}, {"cell_type": "code", "execution_count": 80, "id": "01eb9d43", "metadata": {}, "outputs": [{"data": {"text/plain": ["Document(page_content='fig, ax = plt.subplots()  \\n# step4 \u7ed8\u5236\u56fe\u50cf\uff0c  \u8fd9\u2f00\u6a21\u5757\u7684\u6269\u5c55\u53c2\u8003\u7b2c\u2f06\u7ae0\u8fdb\u2f00\u6b65\u5b66\u4e60\\nax.plot(x, y, label=\\'linear\\')  \\n# step5 \u6dfb\u52a0\u6807\u7b7e\uff0c\u2f42\u5b57\u548c\u56fe\u4f8b\uff0c\u8fd9\u2f00\u6a21\u5757\u7684\u6269\u5c55\u53c2\u8003\u7b2c\u56db\u7ae0\u8fdb\u2f00\u6b65\u5b66\u4e60\\nax.set_xlabel(\\'x label\\') \\nax.set_ylabel(\\'y label\\') \\nax.set_title(\"Simple Plot\")  \\nax.legend() ;\\n\u601d\u8003\u9898\\n\u8bf7\u601d\u8003\u4e24\u79cd\u7ed8\u56fe\u6a21\u5f0f\u7684\u4f18\u7f3a\u70b9\u548c\u5404\u2f83\u9002\u5408\u7684\u4f7f\u2f64\u573a\u666f\\n\u5728\u7b2c\u4e94\u8282\u7ed8\u56fe\u6a21\u677f\u4e2d\u6211\u4eec\u662f\u4ee5 OO \u6a21\u5f0f\u4f5c\u4e3a\u4f8b\u2f26\u5c55\u793a\u7684\uff0c\u8bf7\u601d\u8003\u5e76\u5199\u2f00\u4e2a pyplot \u7ed8\u56fe\u6a21\u5f0f\u7684\u7b80\u5355\u6a21\u677f', metadata={})"]}, "execution_count": 80, "metadata": {}, "output_type": "execute_result"}], "source": ["question_chinese = \"Matplotlib\u662f\u4ec0\u4e48\uff1f\"\n", "docs_tfidf_chinese = tfidf_retriever_chinese.get_relevant_documents(question_chinese)\n", "docs_tfidf_chinese[0]"]}], "metadata": {"kernelspec": {"display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3"}, "language_info": {"codemirror_mode": {"name": "ipython", "version": 3}, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.11"}}, "nbformat": 4, "nbformat_minor": 5}
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diff --git "a/content/\345\277\205\344\277\256\345\233\233-LangChain Chat with Your Data/6.\351\227\256\347\255\224 Question Answering.ipynb" "b/content/\345\277\205\344\277\256\345\233\233-LangChain Chat with Your Data/6.\351\227\256\347\255\224 Question Answering.ipynb"
index a7b8da7e..92b6812c 100644
--- "a/content/\345\277\205\344\277\256\345\233\233-LangChain Chat with Your Data/6.\351\227\256\347\255\224 Question Answering.ipynb"	
+++ "b/content/\345\277\205\344\277\256\345\233\233-LangChain Chat with Your Data/6.\351\227\256\347\255\224 Question Answering.ipynb"	
@@ -1 +1 @@
-{"cells":[{"cell_type":"markdown","metadata":{},"source":["# 第六章 问答\n","\n"," - [一、引言](#一、引言)\n"," - [二、环境配置](#二、环境配置)\n"," - [三、加载向量数据库](#三、加载向量数据库)\n"," - [四、构造检索式问答连](#四、构造检索式问答连)\n"," - [五、深入探究检索式问答链](#五、深入探究检索式问答链)\n","     - [5.1 基于模板的检索式问答链](#5.1-基于模板的检索式问答链)\n","     - [5.2 基于 MapReduce 的检索式问答链](#5.2-基于-MapReduce-的检索式问答链)\n","     - [5.3 基于 Refine 的检索式问答链](#5.3-基于-Refine-的检索式问答链)\n"," - [六、实验：状态记录](#六、实验：状态记录)\n"]},{"cell_type":"markdown","metadata":{},"source":["## 一、引言\n","\n","\n","在上一章，我们已经讨论了如何检索与给定问题相关的文档。下一步是获取这些文档，拿到原始问题，将它们一起传递给语言模型，并要求它回答这个问题。在本课程中，我们将详细介绍这一过程，以及完成这项任务的几种不同方法。"]},{"cell_type":"markdown","metadata":{},"source":["我们已经完成了整个存储和获取，获取了相关的切分文档之后，现在我们需要将它们传递给语言模型，以获得答案。这个过程的一般流程如下：首先问题被提出，然后我们查找相关的文档，接着将这些切分文档和系统提示一起传递给语言模型，并获得答案。\n","\n","默认情况下，我们将所有的文档切片都传递到同一个上下文窗口中，即同一次语言模型调用中。然而，有一些不同的方法可以解决这个问题，它们都有优缺点。大部分优点来自于有时可能会有很多文档，但你简单地无法将它们全部传递到同一个上下文窗口中。MapReduce、Refine 和 MapRerank 是三种方法，用于解决这个短上下文窗口的问题。我们将在该课程中进行简要介绍。"]},{"cell_type":"markdown","metadata":{},"source":["## 二、环境配置"]},{"cell_type":"markdown","metadata":{},"source":["配置环境方法同前，此处不再赘述"]},{"cell_type":"code","execution_count":1,"metadata":{},"outputs":[],"source":["import os\n","import openai\n","import sys\n","sys.path.append('../..')\n","\n","from dotenv import load_dotenv, find_dotenv\n","\n","_ = load_dotenv(find_dotenv()) # read local .env file\n","\n","openai.api_key  = os.environ['OPENAI_API_KEY']\n"]},{"cell_type":"markdown","metadata":{},"source":["在2023年9月2日之后，GPT-3.5 API 会进行更新，因此此处需要进行一个时间判断"]},{"cell_type":"code","execution_count":2,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["gpt-3.5-turbo\n"]}],"source":["import datetime\n","current_date = datetime.datetime.now().date()\n","if current_date < datetime.date(2023, 9, 2):\n","    llm_name = \"gpt-3.5-turbo-0301\"\n","else:\n","    llm_name = \"gpt-3.5-turbo\"\n","print(llm_name)"]},{"cell_type":"markdown","metadata":{},"source":["## 三、加载向量数据库"]},{"cell_type":"code","execution_count":3,"metadata":{},"outputs":[],"source":["# 加载在之前已经进行持久化的向量数据库\n","from langchain.vectorstores import Chroma\n","from langchain.embeddings.openai import OpenAIEmbeddings\n","persist_directory = 'docs/chroma/cs229_lectures/'\n","embedding = OpenAIEmbeddings(model='text-embedding-3-small')\n","vectordb = Chroma(persist_directory=persist_directory, embedding_function=embedding)"]},{"cell_type":"code","execution_count":4,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["209\n"]}],"source":["# 可以看见包含了我们之前进行分割的209个文档\n","print(vectordb._collection.count())"]},{"cell_type":"markdown","metadata":{},"source":["我们可以测试一下对于一个提问进行向量检索。如下代码会在向量数据库中根据相似性进行检索，返回给你 k 个文档。"]},{"cell_type":"code","execution_count":5,"metadata":{},"outputs":[{"data":{"text/plain":["3"]},"execution_count":5,"metadata":{},"output_type":"execute_result"}],"source":["question = \"What are major topics for this class?\"\n","docs = vectordb.similarity_search(question,k=3)\n","len(docs)"]},{"cell_type":"code","execution_count":6,"metadata":{},"outputs":[{"data":{"text/plain":["3"]},"execution_count":6,"metadata":{},"output_type":"execute_result"}],"source":["question = \"这节课的主要话题是什么\"\n","docs = vectordb.similarity_search(question,k=3)\n","len(docs)"]},{"cell_type":"markdown","metadata":{},"source":["## 四、构造检索式问答连"]},{"cell_type":"markdown","metadata":{},"source":["基于 LangChain，我们可以构造一个使用 GPT3.5 进行问答的检索式问答链，这是一种通过检索步骤进行问答的方法。我们可以通过传入一个语言模型和一个向量数据库来创建它作为检索器。然后，我们可以用问题作为查询调用它，得到一个答案。"]},{"cell_type":"code","execution_count":7,"metadata":{},"outputs":[],"source":["# 使用 ChatGPT3.5，温度设置为0\n","from langchain_community.chat_models import ChatOpenAI\n","llm = ChatOpenAI(model_name=llm_name, temperature=0)"]},{"cell_type":"code","execution_count":8,"metadata":{},"outputs":[],"source":["# 导入检索式问答链\n","from langchain.chains.retrieval_qa.base import RetrievalQA"]},{"cell_type":"code","execution_count":9,"metadata":{},"outputs":[],"source":["# 声明一个检索式问答链\n","qa_chain = RetrievalQA.from_chain_type(\n","    llm,\n","    retriever=vectordb.as_retriever()\n",")"]},{"cell_type":"code","execution_count":10,"metadata":{},"outputs":[],"source":["# 可以以该方式进行检索问答\n","question = \"What are major topics for this class?\"\n","result = qa_chain({\"query\": question})"]},{"cell_type":"code","execution_count":11,"metadata":{},"outputs":[{"data":{"text/plain":["'The major topics for this class seem to include machine learning, statistics, and algebra. Additionally, there will be discussions on extensions of the material covered in the main lectures.'"]},"execution_count":11,"metadata":{},"output_type":"execute_result"}],"source":["result[\"result\"]"]},{"cell_type":"code","execution_count":12,"metadata":{},"outputs":[],"source":["# 可以以该方式进行检索问答\n","question = \"这节课的主要话题是什么\"\n","result = qa_chain({\"query\": question})"]},{"cell_type":"code","execution_count":13,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["这节课的主要话题是机器学习。\n"]}],"source":["print(result[\"result\"])"]},{"cell_type":"markdown","metadata":{},"source":["## 五、深入探究检索式问答链"]},{"cell_type":"markdown","metadata":{},"source":["通过上述代码，我们可以实现一个简单的检索式问答链。接下来，让我们深入其中的细节，看看在这个检索式问答链中，LangChain 都做了些什么。\n"]},{"cell_type":"markdown","metadata":{},"source":["### 5.1 基于模板的检索式问答链"]},{"cell_type":"markdown","metadata":{},"source":["\n","我们首先定义了一个提示模板。它包含一些关于如何使用下面的上下文片段的说明，然后有一个上下文变量的占位符。"]},{"cell_type":"code","execution_count":14,"metadata":{},"outputs":[],"source":["from langchain.prompts import PromptTemplate\n","\n","# Build prompt\n","template = \"\"\"Use the following pieces of context to answer the question at the end. If you don't know the answer, just say that you don't know, don't try to make up an answer. Use three sentences maximum. Keep the answer as concise as possible. Always say \"thanks for asking!\" at the end of the answer. \n","{context}\n","Question: {question}\n","Helpful Answer:\"\"\"\n","QA_CHAIN_PROMPT = PromptTemplate.from_template(template)\n"]},{"cell_type":"code","execution_count":15,"metadata":{},"outputs":[],"source":["# 中文版\n","from langchain.prompts import PromptTemplate\n","\n","# Build prompt\n","template = \"\"\"使用以下上下文片段来回答最后的问题。如果你不知道答案，只需说不知道，不要试图编造答案。答案最多使用三个句子。尽量简明扼要地回答。在回答的最后一定要说\"感谢您的提问！\"\n","{context}\n","问题：{question}\n","有用的回答：\"\"\"\n","QA_CHAIN_PROMPT = PromptTemplate.from_template(template)\n"]},{"cell_type":"code","execution_count":16,"metadata":{},"outputs":[],"source":["# Run chain\n","qa_chain = RetrievalQA.from_chain_type(\n","    llm,\n","    retriever=vectordb.as_retriever(),\n","    return_source_documents=True,\n","    chain_type_kwargs={\"prompt\": QA_CHAIN_PROMPT}\n",")"]},{"cell_type":"code","execution_count":17,"metadata":{},"outputs":[],"source":["question = \"Is probability a class topic?\""]},{"cell_type":"code","execution_count":18,"metadata":{},"outputs":[],"source":["result = qa_chain({\"query\": question})"]},{"cell_type":"code","execution_count":19,"metadata":{},"outputs":[{"data":{"text/plain":["'Yes, probability is a class topic as the instructor assumes familiarity with basic probability and statistics. They will also use a probabilistic interpretation to derive the next learning algorithm. However, the class will not be very programming intensive. If you have not seen probability or statistics for a while, they will go over it in the discussion sections.感谢您的提问！'"]},"execution_count":19,"metadata":{},"output_type":"execute_result"}],"source":["result[\"result\"]"]},{"cell_type":"code","execution_count":20,"metadata":{},"outputs":[],"source":["# 中文版\n","question = \"机器学习是其中一节的话题吗\""]},{"cell_type":"code","execution_count":21,"metadata":{},"outputs":[],"source":["result = qa_chain({\"query\": question})"]},{"cell_type":"code","execution_count":22,"metadata":{},"outputs":[{"data":{"text/plain":["'是的，机器学习是这门课程的一个主题。感谢您的提问！'"]},"execution_count":22,"metadata":{},"output_type":"execute_result"}],"source":["result[\"result\"]"]},{"cell_type":"code","execution_count":23,"metadata":{},"outputs":[{"data":{"text/plain":["Document(page_content=\"a machine learning class, right? If you go to a carpentry school, they can give you the \\ntools of carpentry. They'll give you a hamme r, a bunch of nails, a screwdriver or \\nwhatever. But a master carpenter will be able to  use those tools far better than most of us \\nin this room. I know a carpen ter can do things with a hammer and nail that I couldn't \\npossibly. And it's actually a littl e bit like that in machine learning, too. One thing that's \\nsadly not taught in many courses on machine l earning is how to take the tools of machine \\nlearning and really, really apply them well.  \\nSo in the same way, so the tools of machin e learning are I wanna say quite a bit more \\nadvanced than the tools of carpentry. Maybe a carpenter will disagree . But a large part of \\nthis class will be just givi ng you the raw tools of machine learning, just the algorithms \\nand so on. But what I plan to do throughout this entire quarter, not just in the segment of \\nlearning theory, but actually as a theme r unning through everything I do this quarter, will \\nbe to try to convey to you the skills to real ly take the learning al gorithm ideas and really \\nto get them to work on a problem.  \\nIt's sort of hard for me to stand here and say how big a deal that is, but when I walk \\naround companies in Silicon Valley, it's co mpletely not uncommon for me to see \\nsomeone using some machine learning algorith m and then explain to me what they've\", metadata={'page': 14, 'source': 'docs/cs229_lectures/MachineLearning-Lecture01.pdf'})"]},"execution_count":23,"metadata":{},"output_type":"execute_result"}],"source":["result[\"source_documents\"][0]"]},{"cell_type":"markdown","metadata":{},"source":["这种方法非常好，因为它只涉及对语言模型的一次调用。然而，它也有局限性，即如果文档太多，可能无法将它们全部适配到上下文窗口中。我们可以使用另一种技术来对文档进行问答，即MapReduce技术。"]},{"cell_type":"markdown","metadata":{},"source":["### 5.2 基于 MapReduce 的检索式问答链"]},{"cell_type":"markdown","metadata":{},"source":["在 MapReduce 技术中，首先将每个独立的文档单独发送到语言模型以获取原始答案。然后，这些答案通过最终对语言模型的一次调用组合成最终的答案。虽然这样涉及了更多对语言模型的调用，但它的优势在于可以处理任意数量的文档。\n"]},{"cell_type":"code","execution_count":24,"metadata":{},"outputs":[],"source":["qa_chain_mr = RetrievalQA.from_chain_type(\n","    llm,\n","    retriever=vectordb.as_retriever(),\n","    chain_type=\"map_reduce\"\n",")"]},{"cell_type":"code","execution_count":25,"metadata":{},"outputs":[],"source":["question = \"Is probability a class topic?\"\n","result = qa_chain_mr({\"query\": question})"]},{"cell_type":"code","execution_count":26,"metadata":{},"outputs":[{"data":{"text/plain":["'Yes, probability is a class topic mentioned in the text. The instructor assumes familiarity with basic probability and statistics, stating that most undergraduate statistics classes, like Stat 116 taught at Stanford, will be more than enough. The text also mentions going over some prerequisites, including probability, in the discussion sections as a refresher course.'"]},"execution_count":26,"metadata":{},"output_type":"execute_result"}],"source":["result[\"result\"]"]},{"cell_type":"code","execution_count":27,"metadata":{},"outputs":[{"data":{"text/plain":["'不，这段文本没有提到概率论是其中一节的话题。'"]},"execution_count":27,"metadata":{},"output_type":"execute_result"}],"source":["qa_chain_mr = RetrievalQA.from_chain_type(\n","    llm,\n","    retriever=vectordb.as_retriever(),\n","    chain_type=\"map_reduce\"\n",")\n","# 中文版\n","question = \"概率论是其中一节的话题吗\"\n","result = qa_chain_mr({\"query\": question})\n","result[\"result\"]"]},{"cell_type":"markdown","metadata":{},"source":["当我们将之前的问题通过这个链进行运行时，我们可以看到这种方法的两个问题。第一，速度要慢得多。第二，结果实际上更差。根据给定文档的这一部分，对这个问题并没有明确的答案。这可能是因为它是基于每个文档单独回答的。因此，如果信息分布在两个文档之间，它并没有在同一上下文中获取到所有的信息。"]},{"cell_type":"code","execution_count":28,"metadata":{},"outputs":[],"source":["#import os\n","#os.environ[\"LANGCHAIN_TRACING_V2\"] = \"true\"\n","#os.environ[\"LANGCHAIN_ENDPOINT\"] = \"https://api.langchain.plus\"\n","#os.environ[\"LANGCHAIN_API_KEY\"] = \"...\" # replace dots with your api key"]},{"cell_type":"markdown","metadata":{},"source":["我们可导入上述环境变量，然后探寻 MapReduce 文档链的细节。例如，上述演示中，我们实际上涉及了四个单独的对语言模型的调用。在运行完每个文档后，它们会在最终链式中组合在一起，即Stuffed Documents链，将所有这些回答合并到最终的调用中。"]},{"cell_type":"markdown","metadata":{},"source":["### 5.3 基于 Refine 的检索式问答链"]},{"cell_type":"markdown","metadata":{},"source":["我们可以类似地设置链式类型为Refine。这是一种新的链式类型。Refine 文档链类似于 MapReduce 链，对于每一个文档，会调用一次 LLM，但有所改进的是，我们每次发送给 LLM 的最终提示是一个序列，这个序列会将先前的响应与新数据结合在一起，并请求得到改进后的响应。因此，这是一种类似于 RNN 的概念，我们增强了上下文，从而解决信息分布在不同文档的问题。"]},{"cell_type":"code","execution_count":29,"metadata":{},"outputs":[{"data":{"text/plain":["'Based on the additional context provided, it seems that probability may indeed be a class topic within the broader subject of machine learning. The discussion sections will be used to go over extensions for the material taught in the main lectures, and probability could be one of the topics covered in these extensions. Therefore, probability could potentially be a class topic within the context of machine learning.'"]},"execution_count":29,"metadata":{},"output_type":"execute_result"}],"source":["qa_chain_mr = RetrievalQA.from_chain_type(\n","    llm,\n","    retriever=vectordb.as_retriever(),\n","    chain_type=\"refine\"\n",")\n","question = \"Is probability a class topic?\"\n","result = qa_chain_mr({\"query\": question})\n","result[\"result\"]"]},{"cell_type":"code","execution_count":30,"metadata":{},"outputs":[{"data":{"text/plain":["'根据提供的更多上下文，这节课虽然主要内容是机器学习，但在讨论环节中可能会涉及统计学或代数等主题作为复习。概率论可能会在讨论环节中作为复习或扩展内容的一部分，因为课程假设学生对基本概率和统计学有一定了解。在讨论环节中，可能会涉及概率论的基本概念，如随机变量、期望、方差等。因此，概率论可能会在课程中作为复习或扩展内容的一部分。在讨论环节中，还可能会涉及基本的线性代数知识，如矩阵、向量、矩阵乘法、矩阵求逆等。因此，概率论和线性代数可能会在课程中作为复习或扩展内容的一部分。'"]},"execution_count":30,"metadata":{},"output_type":"execute_result"}],"source":["qa_chain_mr = RetrievalQA.from_chain_type(\n","    llm,\n","    retriever=vectordb.as_retriever(),\n","    chain_type=\"refine\"\n",")\n","question = \"概率论是其中一节的话题吗\"\n","result = qa_chain_mr({\"query\": question})\n","result[\"result\"]"]},{"cell_type":"markdown","metadata":{},"source":["你会注意到，这个结果比MapReduce链的结果要好。这是因为使用Refined Chain允许你逐个地组合信息，实际上比MapReduce链鼓励更多的信息传递。"]},{"cell_type":"markdown","metadata":{},"source":["## 六、实验：状态记录"]},{"cell_type":"markdown","metadata":{},"source":["让我们在这里做一个实验。\n","\n","我们将创建一个QA链，使用默认的stuff。让我们问一个问题，概率论是课程的主题吗？它会回答，概率论应该是先决条件。我们将追问，为什么需要这些先决条件？然后我们得到了一个答案。这门课的先决条件是假定具有计算机科学和基本计算机技能和原理的基本知识。这与之前问有关概率的问题毫不相关。"]},{"cell_type":"code","execution_count":31,"metadata":{},"outputs":[],"source":["qa_chain = RetrievalQA.from_chain_type(\n","    llm,\n","    retriever=vectordb.as_retriever()\n",")"]},{"cell_type":"code","execution_count":32,"metadata":{},"outputs":[{"data":{"text/plain":["'Yes, probability is a class topic mentioned in the context provided. The instructor assumes familiarity with basic probability and statistics for the class.'"]},"execution_count":32,"metadata":{},"output_type":"execute_result"}],"source":["question = \"Is probability a class topic?\"\n","result = qa_chain({\"query\": question})\n","result[\"result\"]"]},{"cell_type":"code","execution_count":33,"metadata":{},"outputs":[{"data":{"text/plain":["'The prerequisites mentioned in the context are needed because the course assumes familiarity with basic concepts in probability and statistics, as well as basic linear algebra. Understanding these foundational concepts is crucial for grasping the more advanced topics covered in the machine learning course. Additionally, knowledge of computer science principles and skills like big-O notation is necessary for implementing and understanding algorithms in machine learning.'"]},"execution_count":33,"metadata":{},"output_type":"execute_result"}],"source":["question = \"why are those prerequesites needed?\"\n","result = qa_chain({\"query\": question})\n","result[\"result\"]"]},{"cell_type":"code","execution_count":34,"metadata":{},"outputs":[{"data":{"text/plain":["'是的，概率论是这门课程的一个内容。老师在课程介绍中提到了对基本概率和统计知识的熟悉是必要的，因此会涉及概率论的内容。'"]},"execution_count":34,"metadata":{},"output_type":"execute_result"}],"source":["question = \"概率论是这节课的一个内容吗\"\n","result = qa_chain({\"query\": question})\n","result[\"result\"]"]},{"cell_type":"code","execution_count":35,"metadata":{},"outputs":[{"data":{"text/plain":["'这些知识对于理解和应用机器学习算法至关重要，因为机器学习在科学和工业的许多领域都有着巨大的影响。掌握这些知识可以帮助你解决感兴趣的问题，并为未来的研究和工作做好准备。'"]},"execution_count":35,"metadata":{},"output_type":"execute_result"}],"source":["question = \"为什么需要具备这些知识\"\n","result = qa_chain({\"query\": question})\n","result[\"result\"]"]},{"cell_type":"markdown","metadata":{},"source":["基本上，我们使用的链式（chain）没有任何状态的概念。它不记得之前的问题或之前的答案。为了实现这一点，我们需要引入内存，这是我们将在下一节中讨论的内容。"]}],"metadata":{"kernelspec":{"display_name":"gpt","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.11.9"},"orig_nbformat":4},"nbformat":4,"nbformat_minor":2}
+{"cells": [{"cell_type": "markdown", "metadata": {}, "source": ["# \u7b2c\u516d\u7ae0 \u95ee\u7b54\n", "\n", " - [\u4e00\u3001\u5f15\u8a00](#\u4e00\u3001\u5f15\u8a00)\n", " - [\u4e8c\u3001\u73af\u5883\u914d\u7f6e](#\u4e8c\u3001\u73af\u5883\u914d\u7f6e)\n", " - [\u4e09\u3001\u52a0\u8f7d\u5411\u91cf\u6570\u636e\u5e93](#\u4e09\u3001\u52a0\u8f7d\u5411\u91cf\u6570\u636e\u5e93)\n", " - [\u56db\u3001\u6784\u9020\u68c0\u7d22\u5f0f\u95ee\u7b54\u8fde](#\u56db\u3001\u6784\u9020\u68c0\u7d22\u5f0f\u95ee\u7b54\u8fde)\n", " - [\u4e94\u3001\u6df1\u5165\u63a2\u7a76\u68c0\u7d22\u5f0f\u95ee\u7b54\u94fe](#\u4e94\u3001\u6df1\u5165\u63a2\u7a76\u68c0\u7d22\u5f0f\u95ee\u7b54\u94fe)\n", "     - [5.1 \u57fa\u4e8e\u6a21\u677f\u7684\u68c0\u7d22\u5f0f\u95ee\u7b54\u94fe](#5.1-\u57fa\u4e8e\u6a21\u677f\u7684\u68c0\u7d22\u5f0f\u95ee\u7b54\u94fe)\n", "     - [5.2 \u57fa\u4e8e MapReduce \u7684\u68c0\u7d22\u5f0f\u95ee\u7b54\u94fe](#5.2-\u57fa\u4e8e-MapReduce-\u7684\u68c0\u7d22\u5f0f\u95ee\u7b54\u94fe)\n", "     - [5.3 \u57fa\u4e8e Refine \u7684\u68c0\u7d22\u5f0f\u95ee\u7b54\u94fe](#5.3-\u57fa\u4e8e-Refine-\u7684\u68c0\u7d22\u5f0f\u95ee\u7b54\u94fe)\n", " - [\u516d\u3001\u5b9e\u9a8c\uff1a\u72b6\u6001\u8bb0\u5f55](#\u516d\u3001\u5b9e\u9a8c\uff1a\u72b6\u6001\u8bb0\u5f55)\n"]}, {"cell_type": "markdown", "metadata": {}, "source": ["## \u4e00\u3001\u5f15\u8a00\n", "\n", "\n", "\u5728\u4e0a\u4e00\u7ae0\uff0c\u6211\u4eec\u5df2\u7ecf\u8ba8\u8bba\u4e86\u5982\u4f55\u68c0\u7d22\u4e0e\u7ed9\u5b9a\u95ee\u9898\u76f8\u5173\u7684\u6587\u6863\u3002\u4e0b\u4e00\u6b65\u662f\u83b7\u53d6\u8fd9\u4e9b\u6587\u6863\uff0c\u62ff\u5230\u539f\u59cb\u95ee\u9898\uff0c\u5c06\u5b83\u4eec\u4e00\u8d77\u4f20\u9012\u7ed9\u8bed\u8a00\u6a21\u578b\uff0c\u5e76\u8981\u6c42\u5b83\u56de\u7b54\u8fd9\u4e2a\u95ee\u9898\u3002\u5728\u672c\u8bfe\u7a0b\u4e2d\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u8fd9\u4e00\u8fc7\u7a0b\uff0c\u4ee5\u53ca\u5b8c\u6210\u8fd9\u9879\u4efb\u52a1\u7684\u51e0\u79cd\u4e0d\u540c\u65b9\u6cd5\u3002"]}, {"cell_type": "markdown", "metadata": {}, "source": ["\u6211\u4eec\u5df2\u7ecf\u5b8c\u6210\u4e86\u6574\u4e2a\u5b58\u50a8\u548c\u83b7\u53d6\uff0c\u83b7\u53d6\u4e86\u76f8\u5173\u7684\u5207\u5206\u6587\u6863\u4e4b\u540e\uff0c\u73b0\u5728\u6211\u4eec\u9700\u8981\u5c06\u5b83\u4eec\u4f20\u9012\u7ed9\u8bed\u8a00\u6a21\u578b\uff0c\u4ee5\u83b7\u5f97\u7b54\u6848\u3002\u8fd9\u4e2a\u8fc7\u7a0b\u7684\u4e00\u822c\u6d41\u7a0b\u5982\u4e0b\uff1a\u9996\u5148\u95ee\u9898\u88ab\u63d0\u51fa\uff0c\u7136\u540e\u6211\u4eec\u67e5\u627e\u76f8\u5173\u7684\u6587\u6863\uff0c\u63a5\u7740\u5c06\u8fd9\u4e9b\u5207\u5206\u6587\u6863\u548c\u7cfb\u7edf\u63d0\u793a\u4e00\u8d77\u4f20\u9012\u7ed9\u8bed\u8a00\u6a21\u578b\uff0c\u5e76\u83b7\u5f97\u7b54\u6848\u3002\n", "\n", "\u9ed8\u8ba4\u60c5\u51b5\u4e0b\uff0c\u6211\u4eec\u5c06\u6240\u6709\u7684\u6587\u6863\u5207\u7247\u90fd\u4f20\u9012\u5230\u540c\u4e00\u4e2a\u4e0a\u4e0b\u6587\u7a97\u53e3\u4e2d\uff0c\u5373\u540c\u4e00\u6b21\u8bed\u8a00\u6a21\u578b\u8c03\u7528\u4e2d\u3002\u7136\u800c\uff0c\u6709\u4e00\u4e9b\u4e0d\u540c\u7684\u65b9\u6cd5\u53ef\u4ee5\u89e3\u51b3\u8fd9\u4e2a\u95ee\u9898\uff0c\u5b83\u4eec\u90fd\u6709\u4f18\u7f3a\u70b9\u3002\u5927\u90e8\u5206\u4f18\u70b9\u6765\u81ea\u4e8e\u6709\u65f6\u53ef\u80fd\u4f1a\u6709\u5f88\u591a\u6587\u6863\uff0c\u4f46\u4f60\u7b80\u5355\u5730\u65e0\u6cd5\u5c06\u5b83\u4eec\u5168\u90e8\u4f20\u9012\u5230\u540c\u4e00\u4e2a\u4e0a\u4e0b\u6587\u7a97\u53e3\u4e2d\u3002MapReduce\u3001Refine \u548c MapRerank \u662f\u4e09\u79cd\u65b9\u6cd5\uff0c\u7528\u4e8e\u89e3\u51b3\u8fd9\u4e2a\u77ed\u4e0a\u4e0b\u6587\u7a97\u53e3\u7684\u95ee\u9898\u3002\u6211\u4eec\u5c06\u5728\u8be5\u8bfe\u7a0b\u4e2d\u8fdb\u884c\u7b80\u8981\u4ecb\u7ecd\u3002"]}, {"cell_type": "markdown", "metadata": {}, "source": ["## \u4e8c\u3001\u73af\u5883\u914d\u7f6e"]}, {"cell_type": "markdown", "metadata": {}, "source": ["\u914d\u7f6e\u73af\u5883\u65b9\u6cd5\u540c\u524d\uff0c\u6b64\u5904\u4e0d\u518d\u8d58\u8ff0"]}, {"cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": ["import os\n", "import openai\n", "import sys\n", "sys.path.append('../..')\n", "\n", "from dotenv import load_dotenv, find_dotenv\n", "\n", "_ = load_dotenv(find_dotenv()) # read local .env file\n", "\n", "openai.api_key  = os.environ['OPENAI_API_KEY']\n"]}, {"cell_type": "markdown", "metadata": {}, "source": ["\u57282023\u5e749\u67082\u65e5\u4e4b\u540e\uff0cGPT-3.5 API \u4f1a\u8fdb\u884c\u66f4\u65b0\uff0c\u56e0\u6b64\u6b64\u5904\u9700\u8981\u8fdb\u884c\u4e00\u4e2a\u65f6\u95f4\u5224\u65ad"]}, {"cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["gpt-3.5-turbo-0301\n"]}], "source": ["import datetime\n", "current_date = datetime.datetime.now().date()\n", "if current_date < datetime.date(2023, 9, 2):\n", "    llm_name = \"gpt-3.5-turbo-0301\"\n", "else:\n", "    llm_name = \"gpt-3.5-turbo\"\n", "print(llm_name)"]}, {"cell_type": "markdown", "metadata": {}, "source": ["## \u4e09\u3001\u52a0\u8f7d\u5411\u91cf\u6570\u636e\u5e93"]}, {"cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": ["# \u52a0\u8f7d\u5728\u4e4b\u524d\u5df2\u7ecf\u8fdb\u884c\u6301\u4e45\u5316\u7684\u5411\u91cf\u6570\u636e\u5e93\n", "from langchain.vectorstores import Chroma\n", "from langchain.embeddings.openai import OpenAIEmbeddings\n", "persist_directory = 'docs/chroma/cs229_lectures/'\n", "embedding = OpenAIEmbeddings()\n", "vectordb = Chroma(persist_directory=persist_directory, embedding_function=embedding)"]}, {"cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["209\n"]}], "source": ["# \u53ef\u4ee5\u770b\u89c1\u5305\u542b\u4e86\u6211\u4eec\u4e4b\u524d\u8fdb\u884c\u5206\u5272\u7684209\u4e2a\u6587\u6863\n", "print(vectordb._collection.count())"]}, {"cell_type": "markdown", "metadata": {}, "source": ["\u6211\u4eec\u53ef\u4ee5\u6d4b\u8bd5\u4e00\u4e0b\u5bf9\u4e8e\u4e00\u4e2a\u63d0\u95ee\u8fdb\u884c\u5411\u91cf\u68c0\u7d22\u3002\u5982\u4e0b\u4ee3\u7801\u4f1a\u5728\u5411\u91cf\u6570\u636e\u5e93\u4e2d\u6839\u636e\u76f8\u4f3c\u6027\u8fdb\u884c\u68c0\u7d22\uff0c\u8fd4\u56de\u7ed9\u4f60 k \u4e2a\u6587\u6863\u3002"]}, {"cell_type": "code", "execution_count": 34, "metadata": {}, "outputs": [{"data": {"text/plain": ["3"]}, "execution_count": 34, "metadata": {}, "output_type": "execute_result"}], "source": ["question = \"What are major topics for this class?\"\n", "docs = vectordb.similarity_search(question,k=3)\n", "len(docs)"]}, {"cell_type": "code", "execution_count": 35, "metadata": {}, "outputs": [{"data": {"text/plain": ["3"]}, "execution_count": 35, "metadata": {}, "output_type": "execute_result"}], "source": ["question = \"\u8fd9\u8282\u8bfe\u7684\u4e3b\u8981\u8bdd\u9898\u662f\u4ec0\u4e48\"\n", "docs = vectordb.similarity_search(question,k=3)\n", "len(docs)"]}, {"cell_type": "markdown", "metadata": {}, "source": ["## \u56db\u3001\u6784\u9020\u68c0\u7d22\u5f0f\u95ee\u7b54\u8fde"]}, {"cell_type": "markdown", "metadata": {}, "source": ["\u57fa\u4e8e LangChain\uff0c\u6211\u4eec\u53ef\u4ee5\u6784\u9020\u4e00\u4e2a\u4f7f\u7528 GPT3.5 \u8fdb\u884c\u95ee\u7b54\u7684\u68c0\u7d22\u5f0f\u95ee\u7b54\u94fe\uff0c\u8fd9\u662f\u4e00\u79cd\u901a\u8fc7\u68c0\u7d22\u6b65\u9aa4\u8fdb\u884c\u95ee\u7b54\u7684\u65b9\u6cd5\u3002\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u4f20\u5165\u4e00\u4e2a\u8bed\u8a00\u6a21\u578b\u548c\u4e00\u4e2a\u5411\u91cf\u6570\u636e\u5e93\u6765\u521b\u5efa\u5b83\u4f5c\u4e3a\u68c0\u7d22\u5668\u3002\u7136\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u7528\u95ee\u9898\u4f5c\u4e3a\u67e5\u8be2\u8c03\u7528\u5b83\uff0c\u5f97\u5230\u4e00\u4e2a\u7b54\u6848\u3002"]}, {"cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": ["# \u4f7f\u7528 ChatGPT3.5\uff0c\u6e29\u5ea6\u8bbe\u7f6e\u4e3a0\n", "from langchain.chat_models import ChatOpenAI\n", "llm = ChatOpenAI(model_name=llm_name, temperature=0)"]}, {"cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": ["# \u5bfc\u5165\u68c0\u7d22\u5f0f\u95ee\u7b54\u94fe\n", "from langchain.chains import RetrievalQA"]}, {"cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [], "source": ["# \u58f0\u660e\u4e00\u4e2a\u68c0\u7d22\u5f0f\u95ee\u7b54\u94fe\n", "qa_chain = RetrievalQA.from_chain_type(\n", "    llm,\n", "    retriever=vectordb.as_retriever()\n", ")"]}, {"cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": ["# \u53ef\u4ee5\u4ee5\u8be5\u65b9\u5f0f\u8fdb\u884c\u68c0\u7d22\u95ee\u7b54\n", "question = \"What are major topics for this class?\"\n", "result = qa_chain({\"query\": question})"]}, {"cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [{"data": {"text/plain": ["'The major topic for this class is machine learning. Additionally, there may be some discussion on statistics and algebra as a refresher, and later in the quarter, there may be some discussion on extensions for the material covered in the main lectures.'"]}, "execution_count": 13, "metadata": {}, "output_type": "execute_result"}], "source": ["result[\"result\"]"]}, {"cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [], "source": ["# \u53ef\u4ee5\u4ee5\u8be5\u65b9\u5f0f\u8fdb\u884c\u68c0\u7d22\u95ee\u7b54\n", "question = \"\u8fd9\u8282\u8bfe\u7684\u4e3b\u8981\u8bdd\u9898\u662f\u4ec0\u4e48\"\n", "result = qa_chain({\"query\": question})"]}, {"cell_type": "code", "execution_count": 33, "metadata": {}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["\u4ece\u8fd9\u4e9b\u4e0a\u4e0b\u6587\u6765\u770b\uff0c\u8fd9\u8282\u8bfe\u7684\u4e3b\u8981\u8bdd\u9898\u5305\u62ec\u8bfe\u7a0b\u4fe1\u606f\u3001\u5728\u7ebf\u8d44\u6e90\u548c\u7ebf\u6027\u4ee3\u6570\u3002\n"]}], "source": ["print(result[\"result\"])"]}, {"cell_type": "markdown", "metadata": {}, "source": ["## \u4e94\u3001\u6df1\u5165\u63a2\u7a76\u68c0\u7d22\u5f0f\u95ee\u7b54\u94fe"]}, {"cell_type": "markdown", "metadata": {}, "source": ["\u901a\u8fc7\u4e0a\u8ff0\u4ee3\u7801\uff0c\u6211\u4eec\u53ef\u4ee5\u5b9e\u73b0\u4e00\u4e2a\u7b80\u5355\u7684\u68c0\u7d22\u5f0f\u95ee\u7b54\u94fe\u3002\u63a5\u4e0b\u6765\uff0c\u8ba9\u6211\u4eec\u6df1\u5165\u5176\u4e2d\u7684\u7ec6\u8282\uff0c\u770b\u770b\u5728\u8fd9\u4e2a\u68c0\u7d22\u5f0f\u95ee\u7b54\u94fe\u4e2d\uff0cLangChain \u90fd\u505a\u4e86\u4e9b\u4ec0\u4e48\u3002\n"]}, {"cell_type": "markdown", "metadata": {}, "source": ["### 5.1 \u57fa\u4e8e\u6a21\u677f\u7684\u68c0\u7d22\u5f0f\u95ee\u7b54\u94fe"]}, {"cell_type": "markdown", "metadata": {}, "source": ["\n", "\u6211\u4eec\u9996\u5148\u5b9a\u4e49\u4e86\u4e00\u4e2a\u63d0\u793a\u6a21\u677f\u3002\u5b83\u5305\u542b\u4e00\u4e9b\u5173\u4e8e\u5982\u4f55\u4f7f\u7528\u4e0b\u9762\u7684\u4e0a\u4e0b\u6587\u7247\u6bb5\u7684\u8bf4\u660e\uff0c\u7136\u540e\u6709\u4e00\u4e2a\u4e0a\u4e0b\u6587\u53d8\u91cf\u7684\u5360\u4f4d\u7b26\u3002"]}, {"cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [], "source": ["from langchain.prompts import PromptTemplate\n", "\n", "# Build prompt\n", "template = \"\"\"Use the following pieces of context to answer the question at the end. If you don't know the answer, just say that you don't know, don't try to make up an answer. Use three sentences maximum. Keep the answer as concise as possible. Always say \"thanks for asking!\" at the end of the answer. \n", "{context}\n", "Question: {question}\n", "Helpful Answer:\"\"\"\n", "QA_CHAIN_PROMPT = PromptTemplate.from_template(template)\n"]}, {"cell_type": "code", "execution_count": 36, "metadata": {}, "outputs": [], "source": ["# \u4e2d\u6587\u7248\n", "from langchain.prompts import PromptTemplate\n", "\n", "# Build prompt\n", "template = \"\"\"\u4f7f\u7528\u4ee5\u4e0b\u4e0a\u4e0b\u6587\u7247\u6bb5\u6765\u56de\u7b54\u6700\u540e\u7684\u95ee\u9898\u3002\u5982\u679c\u4f60\u4e0d\u77e5\u9053\u7b54\u6848\uff0c\u53ea\u9700\u8bf4\u4e0d\u77e5\u9053\uff0c\u4e0d\u8981\u8bd5\u56fe\u7f16\u9020\u7b54\u6848\u3002\u7b54\u6848\u6700\u591a\u4f7f\u7528\u4e09\u4e2a\u53e5\u5b50\u3002\u5c3d\u91cf\u7b80\u660e\u627c\u8981\u5730\u56de\u7b54\u3002\u5728\u56de\u7b54\u7684\u6700\u540e\u4e00\u5b9a\u8981\u8bf4\"\u611f\u8c22\u60a8\u7684\u63d0\u95ee\uff01\"\n", "{context}\n", "\u95ee\u9898\uff1a{question}\n", "\u6709\u7528\u7684\u56de\u7b54\uff1a\"\"\"\n", "QA_CHAIN_PROMPT = PromptTemplate.from_template(template)\n"]}, {"cell_type": "code", "execution_count": 37, "metadata": {}, "outputs": [], "source": ["# Run chain\n", "qa_chain = RetrievalQA.from_chain_type(\n", "    llm,\n", "    retriever=vectordb.as_retriever(),\n", "    return_source_documents=True,\n", "    chain_type_kwargs={\"prompt\": QA_CHAIN_PROMPT}\n", ")"]}, {"cell_type": "code", "execution_count": 38, "metadata": {}, "outputs": [], "source": ["question = \"Is probability a class topic?\""]}, {"cell_type": "code", "execution_count": 39, "metadata": {}, "outputs": [], "source": ["result = qa_chain({\"query\": question})"]}, {"cell_type": "code", "execution_count": 40, "metadata": {}, "outputs": [{"data": {"text/plain": ["'Yes, probability is a class topic and the instructor assumes familiarity with basic probability and statistics.'"]}, "execution_count": 40, "metadata": {}, "output_type": "execute_result"}], "source": ["result[\"result\"]"]}, {"cell_type": "code", "execution_count": 47, "metadata": {}, "outputs": [], "source": ["# \u4e2d\u6587\u7248\n", "question = \"\u673a\u5668\u5b66\u4e60\u662f\u5176\u4e2d\u4e00\u8282\u7684\u8bdd\u9898\u5417\""]}, {"cell_type": "code", "execution_count": 48, "metadata": {}, "outputs": [], "source": ["result = qa_chain({\"query\": question})"]}, {"cell_type": "code", "execution_count": 49, "metadata": {}, "outputs": [{"data": {"text/plain": ["'\u662f\u7684\uff0c\u673a\u5668\u5b66\u4e60\u662f\u5176\u4e2d\u4e00\u8282\u7684\u8bdd\u9898\u3002\u611f\u8c22\u60a8\u7684\u63d0\u95ee\uff01'"]}, "execution_count": 49, "metadata": {}, "output_type": "execute_result"}], "source": ["result[\"result\"]"]}, {"cell_type": "code", "execution_count": 50, "metadata": {}, "outputs": [{"data": {"text/plain": ["Document(page_content=\"So in this class, we've tried to convey to you a broad set of principl es and tools that will \\nbe useful for doing many, many things. And ev ery time I teach this class, I can actually \\nvery confidently say that af ter December, no matter what yo u're going to do after this \\nDecember when you've sort of completed this  class, you'll find the things you learn in \\nthis class very useful, and these things will be useful pretty much no matter what you end \\nup doing later in your life.  \\nSo I have more logistics to go over later, but let's say a few more words about machine \\nlearning. I feel that machine learning grew out of  early work in AI, early work in artificial \\nintelligence. And over the last \u2014 I wanna say last 15 or last 20 years or so, it's been viewed as a sort of growing new capability for computers. And in particular, it turns out \\nthat there are many programs or there are many applications that you can't program by \\nhand.  \\nFor example, if you want to get a computer to read handwritten characters, to read sort of \\nhandwritten digits, that actual ly turns out to be amazingly difficult to write a piece of \\nsoftware to take this input, an image of some thing that I wrote and to  figure out just what \\nit is, to translate my cursive handwriting into \u2014 to extract the characters I wrote out in \\nlonghand. And other things: One thing that my students and I do is autonomous flight. It \\nturns out to be extremely difficult to sit dow n and write a program to  fly a helicopter.\", metadata={'source': 'docs/cs229_lectures/MachineLearning-Lecture01.pdf', 'page': 2})"]}, "execution_count": 50, "metadata": {}, "output_type": "execute_result"}], "source": ["result[\"source_documents\"][0]"]}, {"cell_type": "markdown", "metadata": {}, "source": ["\u8fd9\u79cd\u65b9\u6cd5\u975e\u5e38\u597d\uff0c\u56e0\u4e3a\u5b83\u53ea\u6d89\u53ca\u5bf9\u8bed\u8a00\u6a21\u578b\u7684\u4e00\u6b21\u8c03\u7528\u3002\u7136\u800c\uff0c\u5b83\u4e5f\u6709\u5c40\u9650\u6027\uff0c\u5373\u5982\u679c\u6587\u6863\u592a\u591a\uff0c\u53ef\u80fd\u65e0\u6cd5\u5c06\u5b83\u4eec\u5168\u90e8\u9002\u914d\u5230\u4e0a\u4e0b\u6587\u7a97\u53e3\u4e2d\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u53e6\u4e00\u79cd\u6280\u672f\u6765\u5bf9\u6587\u6863\u8fdb\u884c\u95ee\u7b54\uff0c\u5373MapReduce\u6280\u672f\u3002"]}, {"cell_type": "markdown", "metadata": {}, "source": ["### 5.2 \u57fa\u4e8e MapReduce \u7684\u68c0\u7d22\u5f0f\u95ee\u7b54\u94fe"]}, {"cell_type": "markdown", "metadata": {}, "source": ["\u5728 MapReduce \u6280\u672f\u4e2d\uff0c\u9996\u5148\u5c06\u6bcf\u4e2a\u72ec\u7acb\u7684\u6587\u6863\u5355\u72ec\u53d1\u9001\u5230\u8bed\u8a00\u6a21\u578b\u4ee5\u83b7\u53d6\u539f\u59cb\u7b54\u6848\u3002\u7136\u540e\uff0c\u8fd9\u4e9b\u7b54\u6848\u901a\u8fc7\u6700\u7ec8\u5bf9\u8bed\u8a00\u6a21\u578b\u7684\u4e00\u6b21\u8c03\u7528\u7ec4\u5408\u6210\u6700\u7ec8\u7684\u7b54\u6848\u3002\u867d\u7136\u8fd9\u6837\u6d89\u53ca\u4e86\u66f4\u591a\u5bf9\u8bed\u8a00\u6a21\u578b\u7684\u8c03\u7528\uff0c\u4f46\u5b83\u7684\u4f18\u52bf\u5728\u4e8e\u53ef\u4ee5\u5904\u7406\u4efb\u610f\u6570\u91cf\u7684\u6587\u6863\u3002\n"]}, {"cell_type": "code", "execution_count": 51, "metadata": {}, "outputs": [], "source": ["qa_chain_mr = RetrievalQA.from_chain_type(\n", "    llm,\n", "    retriever=vectordb.as_retriever(),\n", "    chain_type=\"map_reduce\"\n", ")"]}, {"cell_type": "code", "execution_count": 52, "metadata": {}, "outputs": [], "source": ["question = \"Is probability a class topic?\"\n", "result = qa_chain_mr({\"query\": question})"]}, {"cell_type": "code", "execution_count": 53, "metadata": {}, "outputs": [{"data": {"text/plain": ["'It is not clear from the given portion of the document whether probability is a class topic or not. The text only mentions that familiarity with basic probability and statistics is assumed as a prerequisite for the class.'"]}, "execution_count": 53, "metadata": {}, "output_type": "execute_result"}], "source": ["result[\"result\"]"]}, {"cell_type": "code", "execution_count": 55, "metadata": {}, "outputs": [{"data": {"text/plain": ["'\u6839\u636e\u7ed9\u51fa\u7684\u6587\u4ef6\u90e8\u5206\uff0c\u6ca1\u6709\u63d0\u5230\u6982\u7387\u8bba\u3002'"]}, "execution_count": 55, "metadata": {}, "output_type": "execute_result"}], "source": ["qa_chain_mr = RetrievalQA.from_chain_type(\n", "    llm,\n", "    retriever=vectordb.as_retriever(),\n", "    chain_type=\"map_reduce\"\n", ")\n", "# \u4e2d\u6587\u7248\n", "question = \"\u6982\u7387\u8bba\u662f\u5176\u4e2d\u4e00\u8282\u7684\u8bdd\u9898\u5417\"\n", "result = qa_chain_mr({\"query\": question})\n", "result[\"result\"]"]}, {"cell_type": "markdown", "metadata": {}, "source": ["\u5f53\u6211\u4eec\u5c06\u4e4b\u524d\u7684\u95ee\u9898\u901a\u8fc7\u8fd9\u4e2a\u94fe\u8fdb\u884c\u8fd0\u884c\u65f6\uff0c\u6211\u4eec\u53ef\u4ee5\u770b\u5230\u8fd9\u79cd\u65b9\u6cd5\u7684\u4e24\u4e2a\u95ee\u9898\u3002\u7b2c\u4e00\uff0c\u901f\u5ea6\u8981\u6162\u5f97\u591a\u3002\u7b2c\u4e8c\uff0c\u7ed3\u679c\u5b9e\u9645\u4e0a\u66f4\u5dee\u3002\u6839\u636e\u7ed9\u5b9a\u6587\u6863\u7684\u8fd9\u4e00\u90e8\u5206\uff0c\u5bf9\u8fd9\u4e2a\u95ee\u9898\u5e76\u6ca1\u6709\u660e\u786e\u7684\u7b54\u6848\u3002\u8fd9\u53ef\u80fd\u662f\u56e0\u4e3a\u5b83\u662f\u57fa\u4e8e\u6bcf\u4e2a\u6587\u6863\u5355\u72ec\u56de\u7b54\u7684\u3002\u56e0\u6b64\uff0c\u5982\u679c\u4fe1\u606f\u5206\u5e03\u5728\u4e24\u4e2a\u6587\u6863\u4e4b\u95f4\uff0c\u5b83\u5e76\u6ca1\u6709\u5728\u540c\u4e00\u4e0a\u4e0b\u6587\u4e2d\u83b7\u53d6\u5230\u6240\u6709\u7684\u4fe1\u606f\u3002"]}, {"cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": ["#import os\n", "#os.environ[\"LANGCHAIN_TRACING_V2\"] = \"true\"\n", "#os.environ[\"LANGCHAIN_ENDPOINT\"] = \"https://api.langchain.plus\"\n", "#os.environ[\"LANGCHAIN_API_KEY\"] = \"...\" # replace dots with your api key"]}, {"cell_type": "markdown", "metadata": {}, "source": ["\u6211\u4eec\u53ef\u5bfc\u5165\u4e0a\u8ff0\u73af\u5883\u53d8\u91cf\uff0c\u7136\u540e\u63a2\u5bfb MapReduce \u6587\u6863\u94fe\u7684\u7ec6\u8282\u3002\u4f8b\u5982\uff0c\u4e0a\u8ff0\u6f14\u793a\u4e2d\uff0c\u6211\u4eec\u5b9e\u9645\u4e0a\u6d89\u53ca\u4e86\u56db\u4e2a\u5355\u72ec\u7684\u5bf9\u8bed\u8a00\u6a21\u578b\u7684\u8c03\u7528\u3002\u5728\u8fd0\u884c\u5b8c\u6bcf\u4e2a\u6587\u6863\u540e\uff0c\u5b83\u4eec\u4f1a\u5728\u6700\u7ec8\u94fe\u5f0f\u4e2d\u7ec4\u5408\u5728\u4e00\u8d77\uff0c\u5373Stuffed Documents\u94fe\uff0c\u5c06\u6240\u6709\u8fd9\u4e9b\u56de\u7b54\u5408\u5e76\u5230\u6700\u7ec8\u7684\u8c03\u7528\u4e2d\u3002"]}, {"cell_type": "markdown", "metadata": {}, "source": ["### 5.3 \u57fa\u4e8e Refine \u7684\u68c0\u7d22\u5f0f\u95ee\u7b54\u94fe"]}, {"cell_type": "markdown", "metadata": {}, "source": ["\u6211\u4eec\u53ef\u4ee5\u7c7b\u4f3c\u5730\u8bbe\u7f6e\u94fe\u5f0f\u7c7b\u578b\u4e3aRefine\u3002\u8fd9\u662f\u4e00\u79cd\u65b0\u7684\u94fe\u5f0f\u7c7b\u578b\u3002Refine \u6587\u6863\u94fe\u7c7b\u4f3c\u4e8e MapReduce \u94fe\uff0c\u5bf9\u4e8e\u6bcf\u4e00\u4e2a\u6587\u6863\uff0c\u4f1a\u8c03\u7528\u4e00\u6b21 LLM\uff0c\u4f46\u6709\u6240\u6539\u8fdb\u7684\u662f\uff0c\u6211\u4eec\u6bcf\u6b21\u53d1\u9001\u7ed9 LLM \u7684\u6700\u7ec8\u63d0\u793a\u662f\u4e00\u4e2a\u5e8f\u5217\uff0c\u8fd9\u4e2a\u5e8f\u5217\u4f1a\u5c06\u5148\u524d\u7684\u54cd\u5e94\u4e0e\u65b0\u6570\u636e\u7ed3\u5408\u5728\u4e00\u8d77\uff0c\u5e76\u8bf7\u6c42\u5f97\u5230\u6539\u8fdb\u540e\u7684\u54cd\u5e94\u3002\u56e0\u6b64\uff0c\u8fd9\u662f\u4e00\u79cd\u7c7b\u4f3c\u4e8e RNN \u7684\u6982\u5ff5\uff0c\u6211\u4eec\u589e\u5f3a\u4e86\u4e0a\u4e0b\u6587\uff0c\u4ece\u800c\u89e3\u51b3\u4fe1\u606f\u5206\u5e03\u5728\u4e0d\u540c\u6587\u6863\u7684\u95ee\u9898\u3002"]}, {"cell_type": "code", "execution_count": 56, "metadata": {}, "outputs": [{"data": {"text/plain": ["'Based on the additional context provided, probability is assumed to be a prerequisite and not a main topic of the class. The instructor assumes that students are familiar with basic probability and statistics, including random variables, expectation, variance, and basic linear algebra. The class will not be very programming-intensive, but some programming will be done in MATLAB or Octave. The instructor will provide a refresher course on the prerequisites in some of the discussion sections. The class also assumes familiarity with basic linear algebra, including matrices, vectors, matrix multiplication, and matrix inverse. Most undergraduate linear algebra courses, such as Math 51, 103, Math 113, or CS205 at Stanford, are more than enough. The instructor will also review the prerequisites in some of the discussion sections.'"]}, "execution_count": 56, "metadata": {}, "output_type": "execute_result"}], "source": ["qa_chain_mr = RetrievalQA.from_chain_type(\n", "    llm,\n", "    retriever=vectordb.as_retriever(),\n", "    chain_type=\"refine\"\n", ")\n", "question = \"Is probability a class topic?\"\n", "result = qa_chain_mr({\"query\": question})\n", "result[\"result\"]"]}, {"cell_type": "code", "execution_count": 57, "metadata": {}, "outputs": [{"data": {"text/plain": ["'Based on the additional context provided, the instructor mentions that they will cover statistics and algebra in the discussion sections as a refresher, and will also use the discussion sections to go over extensions of the material taught in the main lectures. However, there is no explicit mention of probability theory being covered in the course. Therefore, the original answer still stands.'"]}, "execution_count": 57, "metadata": {}, "output_type": "execute_result"}], "source": ["qa_chain_mr = RetrievalQA.from_chain_type(\n", "    llm,\n", "    retriever=vectordb.as_retriever(),\n", "    chain_type=\"refine\"\n", ")\n", "question = \"\u6982\u7387\u8bba\u662f\u5176\u4e2d\u4e00\u8282\u7684\u8bdd\u9898\u5417\"\n", "result = qa_chain_mr({\"query\": question})\n", "result[\"result\"]"]}, {"cell_type": "markdown", "metadata": {}, "source": ["\u4f60\u4f1a\u6ce8\u610f\u5230\uff0c\u8fd9\u4e2a\u7ed3\u679c\u6bd4MapReduce\u94fe\u7684\u7ed3\u679c\u8981\u597d\u3002\u8fd9\u662f\u56e0\u4e3a\u4f7f\u7528Refined Chain\u5141\u8bb8\u4f60\u9010\u4e2a\u5730\u7ec4\u5408\u4fe1\u606f\uff0c\u5b9e\u9645\u4e0a\u6bd4MapReduce\u94fe\u9f13\u52b1\u66f4\u591a\u7684\u4fe1\u606f\u4f20\u9012\u3002"]}, {"cell_type": "markdown", "metadata": {}, "source": ["## \u516d\u3001\u5b9e\u9a8c\uff1a\u72b6\u6001\u8bb0\u5f55"]}, {"cell_type": "markdown", "metadata": {}, "source": ["\u8ba9\u6211\u4eec\u5728\u8fd9\u91cc\u505a\u4e00\u4e2a\u5b9e\u9a8c\u3002\n", "\n", "\u6211\u4eec\u5c06\u521b\u5efa\u4e00\u4e2aQA\u94fe\uff0c\u4f7f\u7528\u9ed8\u8ba4\u7684stuff\u3002\u8ba9\u6211\u4eec\u95ee\u4e00\u4e2a\u95ee\u9898\uff0c\u6982\u7387\u8bba\u662f\u8bfe\u7a0b\u7684\u4e3b\u9898\u5417\uff1f\u5b83\u4f1a\u56de\u7b54\uff0c\u6982\u7387\u8bba\u5e94\u8be5\u662f\u5148\u51b3\u6761\u4ef6\u3002\u6211\u4eec\u5c06\u8ffd\u95ee\uff0c\u4e3a\u4ec0\u4e48\u9700\u8981\u8fd9\u4e9b\u5148\u51b3\u6761\u4ef6\uff1f\u7136\u540e\u6211\u4eec\u5f97\u5230\u4e86\u4e00\u4e2a\u7b54\u6848\u3002\u8fd9\u95e8\u8bfe\u7684\u5148\u51b3\u6761\u4ef6\u662f\u5047\u5b9a\u5177\u6709\u8ba1\u7b97\u673a\u79d1\u5b66\u548c\u57fa\u672c\u8ba1\u7b97\u673a\u6280\u80fd\u548c\u539f\u7406\u7684\u57fa\u672c\u77e5\u8bc6\u3002\u8fd9\u4e0e\u4e4b\u524d\u95ee\u6709\u5173\u6982\u7387\u7684\u95ee\u9898\u6beb\u4e0d\u76f8\u5173\u3002"]}, {"cell_type": "code", "execution_count": 58, "metadata": {}, "outputs": [], "source": ["qa_chain = RetrievalQA.from_chain_type(\n", "    llm,\n", "    retriever=vectordb.as_retriever()\n", ")"]}, {"cell_type": "code", "execution_count": 59, "metadata": {}, "outputs": [{"data": {"text/plain": ["'Yes, probability is a topic in this class. The speaker assumes that students have familiarity with basic probability and statistics, and mentions that most undergraduate statistics classes will be more than enough preparation for this class.'"]}, "execution_count": 59, "metadata": {}, "output_type": "execute_result"}], "source": ["question = \"Is probability a class topic?\"\n", "result = qa_chain({\"query\": question})\n", "result[\"result\"]"]}, {"cell_type": "code", "execution_count": 60, "metadata": {}, "outputs": [{"data": {"text/plain": ["'The prerequisites are needed because in this class, the instructor assumes that all students have a basic knowledge of computer science and knowledge of basic computer skills and principles. This includes understanding of big-O notation and other fundamental concepts. Without this basic knowledge, it may be difficult to understand the material covered in the class.'"]}, "execution_count": 60, "metadata": {}, "output_type": "execute_result"}], "source": ["question = \"why are those prerequesites needed?\"\n", "result = qa_chain({\"query\": question})\n", "result[\"result\"]"]}, {"cell_type": "code", "execution_count": 62, "metadata": {}, "outputs": [{"data": {"text/plain": ["'\u662f\u7684\uff0c\u4f5c\u8005\u5728\u6587\u4e2d\u63d0\u5230\u4e86\u8fd9\u95e8\u8bfe\u7a0b\u9700\u8981\u5b66\u751f\u5177\u5907\u57fa\u672c\u7684\u6982\u7387\u8bba\u548c\u7edf\u8ba1\u5b66\u77e5\u8bc6\u3002'"]}, "execution_count": 62, "metadata": {}, "output_type": "execute_result"}], "source": ["question = \"\u6982\u7387\u8bba\u662f\u8fd9\u8282\u8bfe\u7684\u4e00\u4e2a\u5185\u5bb9\u5417\"\n", "result = qa_chain({\"query\": question})\n", "result[\"result\"]"]}, {"cell_type": "code", "execution_count": 63, "metadata": {}, "outputs": [{"data": {"text/plain": ["'\u5728\u8fd9\u6bb5\u4e0a\u4e0b\u6587\u4e2d\uff0c\u4f5c\u8005\u63d0\u5230\u8fd9\u4e9b\u77e5\u8bc6\u662f\u8fd9\u95e8\u8bfe\u7a0b\u7684\u5148\u51b3\u6761\u4ef6\uff0c\u56e0\u4e3a\u8fd9\u95e8\u8bfe\u7a0b\u6d89\u53ca\u5230\u673a\u5668\u5b66\u4e60\u7684\u57fa\u672c\u6982\u5ff5\u548c\u7b97\u6cd5\uff0c\u9700\u8981\u5b66\u751f\u5177\u5907\u8ba1\u7b97\u673a\u79d1\u5b66\u548c\u57fa\u672c\u8ba1\u7b97\u673a\u6280\u80fd\u548c\u539f\u7406\u7684\u57fa\u672c\u77e5\u8bc6\u3002\u5982\u679c\u5b66\u751f\u6ca1\u6709\u8fd9\u4e9b\u57fa\u7840\u77e5\u8bc6\uff0c\u53ef\u80fd\u4f1a\u5f88\u96be\u7406\u89e3\u548c\u5e94\u7528\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u3002\u56e0\u6b64\uff0c\u5b66\u751f\u9700\u8981\u5177\u5907\u8fd9\u4e9b\u77e5\u8bc6\u624d\u80fd\u66f4\u597d\u5730\u5b66\u4e60\u548c\u5e94\u7528\u673a\u5668\u5b66\u4e60\u3002'"]}, "execution_count": 63, "metadata": {}, "output_type": "execute_result"}], "source": ["question = \"\u4e3a\u4ec0\u4e48\u9700\u8981\u5177\u5907\u8fd9\u4e9b\u77e5\u8bc6\"\n", "result = qa_chain({\"query\": question})\n", "result[\"result\"]"]}, {"cell_type": "markdown", "metadata": {}, "source": ["\u57fa\u672c\u4e0a\uff0c\u6211\u4eec\u4f7f\u7528\u7684\u94fe\u5f0f\uff08chain\uff09\u6ca1\u6709\u4efb\u4f55\u72b6\u6001\u7684\u6982\u5ff5\u3002\u5b83\u4e0d\u8bb0\u5f97\u4e4b\u524d\u7684\u95ee\u9898\u6216\u4e4b\u524d\u7684\u7b54\u6848\u3002\u4e3a\u4e86\u5b9e\u73b0\u8fd9\u4e00\u70b9\uff0c\u6211\u4eec\u9700\u8981\u5f15\u5165\u5185\u5b58\uff0c\u8fd9\u662f\u6211\u4eec\u5c06\u5728\u4e0b\u4e00\u8282\u4e2d\u8ba8\u8bba\u7684\u5185\u5bb9\u3002"]}], "metadata": {"kernelspec": {"display_name": "gpt", "language": "python", "name": "python3"}, "language_info": {"codemirror_mode": {"name": "ipython", "version": 3}, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.11"}, "orig_nbformat": 4}, "nbformat": 4, "nbformat_minor": 2}
\ No newline at end of file
diff --git "a/content/\345\277\205\344\277\256\345\233\233-LangChain Chat with Your Data/7.\350\201\212\345\244\251 Chat.ipynb" "b/content/\345\277\205\344\277\256\345\233\233-LangChain Chat with Your Data/7.\350\201\212\345\244\251 Chat.ipynb"
index ec10d810..82d42aac 100644
--- "a/content/\345\277\205\344\277\256\345\233\233-LangChain Chat with Your Data/7.\350\201\212\345\244\251 Chat.ipynb"	
+++ "b/content/\345\277\205\344\277\256\345\233\233-LangChain Chat with Your Data/7.\350\201\212\345\244\251 Chat.ipynb"	
@@ -1 +1 @@
-{"cells":[{"cell_type":"markdown","id":"956ff3a4","metadata":{},"source":["# 第七章、聊天 Chat\n","\n"," - [一、环境配置](#一、环境配置)\n"," - [二、记忆（Memory）](#二、记忆（Memory）)\n"," - [三、对话检索链（ConversationalRetrievalChain）](#三、对话检索链（ConversationalRetrievalChain）)\n"," - [四、创建一个适用于您文档的聊天机器人](#四、创建一个适用于您文档的聊天机器人)\n"," - [五、创建聊天机器人](#五、创建聊天机器人)\n"," - [六、致谢](#六、致谢)\n"]},{"cell_type":"markdown","id":"6f2e2cd9","metadata":{},"source":["回想一下检索增强生成 (retrieval augmented generation，RAG) 的整体工作流程："]},{"attachments":{"overview.jpeg":{"image/jpeg":"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QA`链在 Q+A 中使用`检索`生成输出。\n","\n","我们的机器人已经可以回答问题了，但还无法处理后续问题，无法进行真正的对话。好消息是，在本章中，我们将解决这个问题。\n","\n","我们现在将创建一个问答聊天机器人。它与之前非常相似，但我们将添加聊天历史的功能。这是您之前进行的任何对话或消息。这将使机器人在尝试回答问题时能够考虑到聊天历史的上下文。所以，如果您继续提问，它会知道您想谈论什么。"]},{"cell_type":"markdown","id":"1f698037","metadata":{},"source":["## 一、环境配置"]},{"cell_type":"code","execution_count":1,"id":"926fc482-dd03-40e1-8083-171aad3e2b26","metadata":{"height":232,"tags":[]},"outputs":[{"data":{"application/javascript":"(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n  var py_version = '3.4.1'.replace('rc', '-rc.').replace('.dev', '-dev.');\n  var reloading = false;\n  var Bokeh = root.Bokeh;\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      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load_dotenv, find_dotenv\n","_ = load_dotenv(find_dotenv()) # read local .env file\n","\n","openai.api_key  = os.environ['OPENAI_API_KEY']"]},{"cell_type":"markdown","id":"f71bd908","metadata":{"height":30},"source":["以下代码是为了 openai LLM 版本备案，直至其被弃用（于 2023 年 9 月）。LLM 响应通常会有所不同，但在使用不同模型版本时，这种差异可能会更明显。"]},{"cell_type":"code","execution_count":2,"id":"83558969-e5aa-4fbc-933c-9c1534decf0a","metadata":{"height":147,"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["gpt-3.5-turbo\n"]}],"source":["import datetime\n","current_date = datetime.datetime.now().date()\n","if current_date < datetime.date(2023, 9, 2):\n","    llm_name = \"gpt-3.5-turbo-0301\"\n","else:\n","    llm_name = \"gpt-3.5-turbo\"\n","print(llm_name)"]},{"cell_type":"markdown","id":"baddf039","metadata":{},"source":["如果您想在 `Lang Chain plus` 平台上进行实验：\n","\n","- 前往 langchain plus 平台并注册\n","\n","- 从您的帐户设置创建 api 密钥\n","\n","- 在下面的代码中使用此 api 密钥"]},{"cell_type":"code","execution_count":3,"id":"ba19ea7d","metadata":{"height":96,"tags":[]},"outputs":[],"source":["#import os\n","#os.environ[\"LANGCHAIN_TRACING_V2\"] = \"true\"\n","#os.environ[\"LANGCHAIN_ENDPOINT\"] = \"https://api.langchain.plus\"\n","#os.environ[\"LANGCHAIN_API_KEY\"] = \"...\""]},{"cell_type":"code","execution_count":4,"id":"ab80dc86","metadata":{"height":113,"tags":[]},"outputs":[{"name":"stderr","output_type":"stream","text":["/Users/lta/anaconda3/envs/chat_data/lib/python3.11/site-packages/langchain_core/_api/deprecation.py:119: LangChainDeprecationWarning: The class `OpenAIEmbeddings` was deprecated in LangChain 0.0.9 and will be removed in 0.3.0. An updated version of the class exists in the langchain-openai package and should be used instead. To use it run `pip install -U langchain-openai` and import as `from langchain_openai import OpenAIEmbeddings`.\n","  warn_deprecated(\n"]}],"source":["# 加载向量库，其中包含了所有课程材料的 Embedding。\n","from langchain.vectorstores import Chroma\n","from langchain.embeddings.openai import OpenAIEmbeddings\n","persist_directory = 'docs/chroma/'\n","embedding = OpenAIEmbeddings(model='text-embedding-3-small')\n","vectordb = Chroma(persist_directory=persist_directory, embedding_function=embedding)"]},{"cell_type":"code","execution_count":5,"id":"b7a409bf","metadata":{"height":79,"tags":[]},"outputs":[{"data":{"text/plain":["0"]},"execution_count":5,"metadata":{},"output_type":"execute_result"}],"source":["# 对向量库进行基本的相似度搜索\n","question = \"What are major topics for this class?\"\n","docs = vectordb.similarity_search(question,k=3)\n","len(docs)"]},{"cell_type":"code","execution_count":6,"id":"d59d01b0","metadata":{"height":79,"tags":[]},"outputs":[{"data":{"text/plain":["0"]},"execution_count":6,"metadata":{},"output_type":"execute_result"}],"source":["question = \"这门课的主要内容是什么？\"\n","docs = vectordb.similarity_search(question,k=3)\n","len(docs)"]},{"cell_type":"code","execution_count":7,"id":"01c58c2b","metadata":{"height":79,"tags":[]},"outputs":[{"name":"stderr","output_type":"stream","text":["/Users/lta/anaconda3/envs/chat_data/lib/python3.11/site-packages/langchain_core/_api/deprecation.py:119: LangChainDeprecationWarning: The class `ChatOpenAI` was deprecated in LangChain 0.0.10 and will be removed in 0.3.0. An updated version of the class exists in the langchain-openai package and should be used instead. To use it run `pip install -U langchain-openai` and import as `from langchain_openai import ChatOpenAI`.\n","  warn_deprecated(\n","/Users/lta/anaconda3/envs/chat_data/lib/python3.11/site-packages/langchain_core/_api/deprecation.py:119: LangChainDeprecationWarning: The method `BaseChatModel.predict` was deprecated in langchain-core 0.1.7 and will be removed in 0.3.0. Use invoke instead.\n","  warn_deprecated(\n"]},{"data":{"text/plain":["'Hello! How can I assist you today?'"]},"execution_count":7,"metadata":{},"output_type":"execute_result"}],"source":["from langchain.chat_models.openai import ChatOpenAI\n","llm = ChatOpenAI(model_name=llm_name, temperature=0)\n","llm.predict(\"Hello world!\")"]},{"cell_type":"code","execution_count":8,"id":"d683c6ed","metadata":{"height":336},"outputs":[{"name":"stderr","output_type":"stream","text":["/Users/lta/anaconda3/envs/chat_data/lib/python3.11/site-packages/langchain_core/_api/deprecation.py:119: LangChainDeprecationWarning: The method `Chain.__call__` was deprecated in langchain 0.1.0 and will be removed in 0.3.0. Use invoke instead.\n","  warn_deprecated(\n"]},{"data":{"text/plain":["'Yes, probability is a class topic in mathematics that deals with the likelihood of events occurring. It is often taught in middle school or high school as part of the curriculum. Thanks for asking!'"]},"execution_count":8,"metadata":{},"output_type":"execute_result"}],"source":["# 初始化一个 prompt 模板，创建一个检索 QA 链，然后传入一个问题并得到一个结果。\n","# 构建 prompt\n","from langchain.prompts import PromptTemplate\n","template = \"\"\"Use the following pieces of context to answer the question at the end. If you don't know the answer, just say that you don't know, don't try to make up an answer. Use three sentences maximum. Keep the answer as concise as possible. Always say \"thanks for asking!\" at the end of the answer. \n","{context}\n","Question: {question}\n","Helpful Answer:\"\"\"\n","QA_CHAIN_PROMPT = PromptTemplate(input_variables=[\"context\", \"question\"],template=template,)\n","\n","# 运行 chain\n","from langchain.chains.retrieval_qa.base import RetrievalQA\n","question = \"Is probability a class topic?\"\n","qa_chain = RetrievalQA.from_chain_type(llm,\n","                                       retriever=vectordb.as_retriever(),\n","                                       return_source_documents=True,\n","                                       chain_type_kwargs={\"prompt\": QA_CHAIN_PROMPT})\n","\n","\n","result = qa_chain({\"query\": question})\n","result[\"result\"]"]},{"cell_type":"code","execution_count":9,"id":"b8aa6c11","metadata":{"height":351,"tags":[]},"outputs":[{"data":{"text/plain":["'是的，概率是我们这周的课堂主题。\\n谢谢你的提问！'"]},"execution_count":9,"metadata":{},"output_type":"execute_result"}],"source":["# 构建 prompt\n","from langchain.prompts import PromptTemplate\n","template = \"\"\"使用以下上下文来回答最后的问题。如果你不知道答案，就说你不知道，不要试图编造答案。最多使用三句话。尽量使答案简明扼要。总是在回答的最后说“谢谢你的提问！”。\n","{context}\n","问题: {question}\n","有用的回答:\"\"\"\n","QA_CHAIN_PROMPT = PromptTemplate(input_variables=[\"context\", \"question\"],template=template,)\n","\n","# 运行 chain\n","from langchain.chains import RetrievalQA\n","question = \"概率是课堂主题吗？\"\n","qa_chain = RetrievalQA.from_chain_type(llm,\n","                                       retriever=vectordb.as_retriever(),\n","                                       return_source_documents=True,\n","                                       chain_type_kwargs={\"prompt\": QA_CHAIN_PROMPT})\n","\n","\n","result = qa_chain({\"query\": question})\n","result[\"result\"]"]},{"cell_type":"markdown","id":"84f8d2e2","metadata":{},"source":["## 二、记忆（Memory）"]},{"cell_type":"markdown","id":"5263e1ed","metadata":{"height":30},"source":["现在让我们更进一步，添加一些记忆功能。\n","\n","我们将使用 `ConversationBufferMemory`。它保存聊天消息历史记录的列表，这些历史记录将在回答问题时与问题一起传递给聊天机器人，从而将它们添加到上下文中。\n","\n","需要注意的是，我们之前讨论的上下文检索等方法，在这里同样可用。 "]},{"cell_type":"code","execution_count":10,"id":"7e99e754","metadata":{"height":113,"tags":[]},"outputs":[],"source":["from langchain.memory import ConversationBufferMemory\n","memory = ConversationBufferMemory(\n","    memory_key=\"chat_history\", # 与 prompt 的输入变量保持一致。\n","    return_messages=True # 将以消息列表的形式返回聊天记录，而不是单个字符串\n",")"]},{"cell_type":"markdown","id":"244e1b7a","metadata":{},"source":["## 三、对话检索链（ConversationalRetrievalChain）"]},{"cell_type":"markdown","id":"39700b1c","metadata":{"height":30},"source":["在检索 QA 链的基础上，对话检索链添加了新步骤，将历史记录和新问题压缩为一个独立的问题，并在向量库中进行相关文档的查找。此外，当有多个答案时，内存记录下所有答案。我们在运行和观察其效果后，可以在UI中查看具体细节。 \n","\n","对话检索链（ConversationalRetrievalChain）在 QA 检索链的基础上增加了一个新的环节，而不仅仅是 memery。\n","\n","具体来说，它增加了一个步骤，该步骤将历史记录和新问题浓缩为一个独立的问题，并将其传递给向量存储器以查找相关文档。\n","\n","\n","我们将在运行后在用户界面中查看其效果。但现在，让我们来试试。我们可以提出一个问题。这是没有任何历史记录的，看看我们得到的结果。然后我们可以针对答案提出一个后续问题。这和之前一样。所以我们问，概率是一个类主题吗？我们会得到一些答案。"]},{"cell_type":"code","execution_count":11,"id":"23700502","metadata":{"height":147,"tags":[]},"outputs":[],"source":["from langchain.chains.conversational_retrieval.base import ConversationalRetrievalChain\n","retriever=vectordb.as_retriever()\n","qa = ConversationalRetrievalChain.from_llm(\n","    llm,\n","    retriever=retriever,\n","    memory=memory\n",")"]},{"cell_type":"code","execution_count":12,"id":"e25b9fbb","metadata":{"height":62,"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["Yes, probability is a common topic covered in mathematics classes, particularly in courses like statistics, probability theory, and sometimes even in introductory math classes. It is an important concept in understanding uncertainty and making predictions based on data.\n"]}],"source":["question = \"Is probability a class topic?\"\n","result = qa({\"question\": question})\n","print(result['answer'])"]},{"cell_type":"code","execution_count":13,"id":"622478ba","metadata":{"height":69,"scrolled":true,"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["概率通常在高中数学课程中被涵盖，也会在大学的统计学、概率论、数理统计等相关课程中深入讨论。\n"]}],"source":["question = \"概率是一个课堂主题吗？\"\n","result = qa({\"question\": question})\n","print(result['answer'])"]},{"cell_type":"code","execution_count":14,"id":"5b280672","metadata":{"height":62,"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["Prerequisites are needed for studying probability because probability involves complex mathematical concepts and calculations. To understand probability theory effectively, students need a solid foundation in areas such as algebra, calculus, and statistics. Without these prerequisites, it can be challenging to grasp the advanced concepts and applications of probability.\n"]}],"source":["question = \"why are those prerequesites needed?\"\n","result = qa({\"question\": question})\n","print(result['answer'])"]},{"cell_type":"code","execution_count":15,"id":"fcd08a60","metadata":{"height":70,"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["这些先决条件可能包括对基本数学概念的理解，如概率、统计和逻辑等。这些知识可以帮助学习者更好地理解概率的概念和应用。\n"]}],"source":["question = \"为什么需要这些先决条件？\"\n","result = qa({\"question\": question})\n","print(result['answer'])"]},{"cell_type":"markdown","id":"31e0742e-2085-4635-b87d-6596925f1077","metadata":{"tags":[]},"source":["## 四、创建一个适用于您文档的聊天机器人"]},{"cell_type":"code","execution_count":16,"id":"8622a19c-0711-49aa-8d1d-9ddfb6af7032","metadata":{"height":181,"tags":[]},"outputs":[],"source":["from langchain.embeddings.openai import OpenAIEmbeddings\n","from langchain.text_splitter import CharacterTextSplitter, RecursiveCharacterTextSplitter\n","from langchain.vectorstores import DocArrayInMemorySearch\n","from langchain.document_loaders import TextLoader\n","from langchain.chains.retrieval_qa.base import RetrievalQA\n","from langchain.memory import ConversationBufferMemory\n","from langchain.chat_models.openai import ChatOpenAI\n","from langchain.document_loaders import TextLoader\n","from langchain.document_loaders import PyPDFLoader"]},{"cell_type":"markdown","id":"95f69afe","metadata":{},"source":["跟视频拍摄相比，聊天机器人代码已进行了一些更新。图形用户界面的外观也因运行平台而异。"]},{"cell_type":"code","execution_count":17,"id":"69dff120","metadata":{"height":404},"outputs":[],"source":["def load_db(file, chain_type, k):\n","    \"\"\"\n","    该函数用于加载 PDF 文件，切分文档，生成文档的嵌入向量，创建向量数据库，定义检索器，并创建聊天机器人实例。\n","\n","    参数:\n","    file (str): 要加载的 PDF 文件路径。\n","    chain_type (str): 链类型，用于指定聊天机器人的类型。\n","    k (int): 在检索过程中，返回最相似的 k 个结果。\n","\n","    返回:\n","    qa (ConversationalRetrievalChain): 创建的聊天机器人实例。\n","    \"\"\"\n","    # 载入文档\n","    loader = PyPDFLoader(file)\n","    documents = loader.load()\n","    # 切分文档\n","    text_splitter = RecursiveCharacterTextSplitter(chunk_size=1000, chunk_overlap=150)\n","    docs = text_splitter.split_documents(documents)\n","    # 定义 Embeddings\n","    embeddings = OpenAIEmbeddings(model='text-embedding-3-small')\n","    # 根据数据创建向量数据库\n","    db = DocArrayInMemorySearch.from_documents(docs, embeddings)\n","    # 定义检索器\n","    retriever = db.as_retriever(search_type=\"similarity\", search_kwargs={\"k\": k})\n","    # 创建 chatbot 链，Memory 由外部管理\n","    qa = ConversationalRetrievalChain.from_llm(\n","        llm=ChatOpenAI(model_name=llm_name, temperature=0), \n","        chain_type=chain_type, \n","        retriever=retriever, \n","        return_source_documents=True,\n","        return_generated_question=True,\n","    )\n","    return qa \n"]},{"cell_type":"code","execution_count":22,"id":"b525019d-3acd-40ff-9844-141116155d68","metadata":{"height":1320,"tags":[]},"outputs":[],"source":["import panel as pn\n","import param\n","\n","# 用于存储聊天记录、回答、数据库查询和回复\n","class cbfs(param.Parameterized):\n","    chat_history = param.List([])\n","    answer = param.String(\"\")\n","    db_query  = param.String(\"\")\n","    db_response = param.List([])\n","    \n","    def __init__(self,  **params):\n","        super(cbfs, self).__init__( **params)\n","        self.panels = []\n","        self.loaded_file = \"docs/cs229_lectures/MachineLearning-Lecture01.pdf\"\n","        self.qa = load_db(self.loaded_file,\"stuff\", 4)\n","    \n","    # 将文档加载到聊天机器人中\n","    def call_load_db(self, count):\n","        \"\"\"\n","        count: 数量\n","        \"\"\"\n","        if count == 0 or file_input.value is None:  # 初始化或未指定文件 :\n","            return pn.pane.Markdown(f\"Loaded File: {self.loaded_file}\")\n","        else:\n","            file_input.save(\"temp.pdf\")  # 本地副本\n","            self.loaded_file = file_input.filename\n","            button_load.button_style=\"outline\"\n","            self.qa = load_db(\"temp.pdf\", \"stuff\", 4)\n","            button_load.button_style=\"solid\"\n","        self.clr_history()\n","        return pn.pane.Markdown(f\"Loaded File: {self.loaded_file}\")\n","\n","    # 处理对话链\n","    def convchain(self, query):\n","        \"\"\"\n","        query: 用户的查询\n","        \"\"\"\n","        if not query:\n","            return pn.WidgetBox(pn.Row('User:', pn.pane.Markdown(\"\", width=600)), scroll=True)\n","        result = self.qa({\"question\": query, \"chat_history\": self.chat_history})\n","        self.chat_history.extend([(query, result[\"answer\"])])\n","        self.db_query = result[\"generated_question\"]\n","        self.db_response = result[\"source_documents\"]\n","        self.answer = result['answer'] \n","        self.panels.extend([\n","            pn.Row('User:', pn.pane.Markdown(query, width=600)),\n","            pn.Row('ChatBot:', pn.pane.Markdown(self.answer, width=600, styles={'background-color': '#F6F6F6'}))\n","        ])\n","        inp.value = ''  # 清除时清除装载指示器\n","        return pn.WidgetBox(*self.panels,scroll=True)\n","    \n","    # 获取最后发送到数据库的问题\n","    @param.depends('db_query ', )\n","    def get_lquest(self):\n","        if not self.db_query :\n","            return pn.Column(\n","                pn.Row(pn.pane.Markdown(f\"Last question to DB:\", styles={'background-color': '#F6F6F6'})),\n","                pn.Row(pn.pane.Str(\"no DB accesses so far\"))\n","            )\n","        return pn.Column(\n","            pn.Row(pn.pane.Markdown(f\"DB query:\", styles={'background-color': '#F6F6F6'})),\n","            pn.pane.Str(self.db_query )\n","        )\n","    \n","    # 获取数据库返回的源文件\n","    @param.depends('db_response', )\n","    def get_sources(self):\n","        if not self.db_response:\n","            return \n","        rlist=[pn.Row(pn.pane.Markdown(f\"Result of DB lookup:\", styles={'background-color': '#F6F6F6'}))]\n","        for doc in self.db_response:\n","            rlist.append(pn.Row(pn.pane.Str(doc)))\n","        return pn.WidgetBox(*rlist, width=600, scroll=True)\n","\n","    # 获取当前聊天记录\n","    @param.depends('convchain', 'clr_history') \n","    def get_chats(self):\n","        if not self.chat_history:\n","            return pn.WidgetBox(pn.Row(pn.pane.Str(\"No History Yet\")), width=600, scroll=True)\n","        rlist=[pn.Row(pn.pane.Markdown(f\"Current Chat History variable\", styles={'background-color': '#F6F6F6'}))]\n","        for exchange in self.chat_history:\n","            rlist.append(pn.Row(pn.pane.Str(exchange)))\n","        return pn.WidgetBox(*rlist, width=600, scroll=True)\n","    \n","    # 清除聊天记录\n","    def clr_history(self,count=0):\n","        self.chat_history = []\n","        return \n"]},{"cell_type":"markdown","id":"54958d9d-2a0f-457d-9a2b-97e6c9859684","metadata":{"tags":[]},"source":["## 五、创建聊天机器人"]},{"cell_type":"code","execution_count":23,"id":"73b7f691-6314-4fcc-9e48-0d09d61099fd","metadata":{"height":691,"tags":[]},"outputs":[{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"7a87f31af0b9437f8785275a532855c2","version_major":2,"version_minor":0},"text/plain":["BokehModel(combine_events=True, render_bundle={'docs_json': {'377d369e-b052-4e1b-a745-ca48584505a1': {'version…"]},"execution_count":23,"metadata":{},"output_type":"execute_result"}],"source":["# 初始化聊天机器人\n","cb = cbfs() \n","\n","# 定义界面的小部件\n","file_input = pn.widgets.FileInput(accept='.pdf') # PDF 文件的文件输入小部件\n","button_load = pn.widgets.Button(name=\"Load DB\", button_type='primary') # 加载数据库的按钮\n","button_clearhistory = pn.widgets.Button(name=\"Clear History\", button_type='warning') # 清除聊天记录的按钮\n","button_clearhistory.on_click(cb.clr_history) # 将清除历史记录功能绑定到按钮上\n","inp = pn.widgets.TextInput( placeholder='Enter text here…') # 用于用户查询的文本输入小部件\n","\n","# 将加载数据库和对话的函数绑定到相应的部件上\n","bound_button_load = pn.bind(cb.call_load_db, button_load.param.clicks)\n","conversation = pn.bind(cb.convchain, inp) \n","\n","jpg_pane = pn.pane.Image( './img/convchain.jpg')\n","\n","# 使用 Panel 定义界面布局\n","tab1 = pn.Column(\n","    pn.Row(inp),\n","    pn.layout.Divider(),\n","    pn.panel(conversation,  loading_indicator=True, height=300),\n","    pn.layout.Divider(),\n",")\n","tab2= pn.Column(\n","    pn.panel(cb.get_lquest),\n","    pn.layout.Divider(),\n","    pn.panel(cb.get_sources ),\n",")\n","tab3= pn.Column(\n","    pn.panel(cb.get_chats),\n","    pn.layout.Divider(),\n",")\n","tab4=pn.Column(\n","    pn.Row( file_input, button_load, bound_button_load),\n","    pn.Row( button_clearhistory, pn.pane.Markdown(\"Clears chat history. Can use to start a new topic\" )),\n","    pn.layout.Divider(),\n","    pn.Row(jpg_pane.clone(width=400))\n",")\n","# 将所有选项卡合并为一个仪表盘\n","dashboard = pn.Column(\n","    pn.Row(pn.pane.Markdown('# ChatWithYourData_Bot')),\n","    pn.Tabs(('Conversation', tab1), ('Database', tab2), ('Chat History', tab3),('Configure', tab4))\n",")\n","dashboard"]},{"cell_type":"markdown","id":"d2d2a016","metadata":{"height":30},"source":["请随意复制此代码并对其进行修改以添加您自己的功能。您可以通过更改 `load_db` 函数和 `convchain` 方法中的配置来尝试备用内存和检索器模型。[panel](https://panel.holoviz.org/) 和 [Param](https://param.holoviz.org/) 有许多有用的特性和小部件，可以用来扩展GUI。"]},{"cell_type":"markdown","id":"d0275b31-b5e3-4e15-a77f-1bf30c3e04e4","metadata":{},"source":["## 六、致谢\n","\n","基于 panel 的聊天机器人的灵感来自 Sophia Yang, [github](https://github.com/sophiamyang/tutorials-LangChain)"]}],"metadata":{"kernelspec":{"display_name":"Python 3 (ipykernel)","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.11.9"}},"nbformat":4,"nbformat_minor":5}
+{"cells":[{"cell_type":"markdown","id":"956ff3a4","metadata":{},"source":["# 第七章、聊天 Chat\n","\n"," - [一、环境配置](#一、环境配置)\n"," - [二、记忆（Memory）](#二、记忆（Memory）)\n"," - [三、对话检索链（ConversationalRetrievalChain）](#三、对话检索链（ConversationalRetrievalChain）)\n"," - [四、创建一个适用于您文档的聊天机器人](#四、创建一个适用于您文档的聊天机器人)\n"," - [五、创建聊天机器人](#五、创建聊天机器人)\n"," - [六、致谢](#六、致谢)\n"]},{"cell_type":"markdown","id":"6f2e2cd9","metadata":{},"source":["回想一下检索增强生成 (retrieval augmented generation，RAG) 的整体工作流程："]},{"attachments":{"overview.jpeg":{"image/jpeg":"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QA`链在 Q+A 中使用`检索`生成输出。\n","\n","我们的机器人已经可以回答问题了，但还无法处理后续问题，无法进行真正的对话。好消息是，在本章中，我们将解决这个问题。\n","\n","我们现在将创建一个问答聊天机器人。它与之前非常相似，但我们将添加聊天历史的功能。这是您之前进行的任何对话或消息。这将使机器人在尝试回答问题时能够考虑到聊天历史的上下文。所以，如果您继续提问，它会知道您想谈论什么。"]},{"cell_type":"markdown","id":"1f698037","metadata":{},"source":["## 一、环境配置"]},{"cell_type":"code","execution_count":null,"id":"926fc482-dd03-40e1-8083-171aad3e2b26","metadata":{"height":232,"tags":[]},"outputs":[],"source":["import os\n","import openai\n","import sys\n","sys.path.append('../..')\n","\n","import panel as pn  # GUI\n","pn.extension()\n","\n","from dotenv import load_dotenv, find_dotenv\n","_ = load_dotenv(find_dotenv()) # read local .env file\n","\n","openai.api_key  = os.environ['OPENAI_API_KEY']"]},{"cell_type":"markdown","id":"f71bd908","metadata":{"height":30},"source":["以下代码是为了 openai LLM 版本备案，直至其被弃用（于 2023 年 9 月）。LLM 响应通常会有所不同，但在使用不同模型版本时，这种差异可能会更明显。"]},{"cell_type":"code","execution_count":2,"id":"83558969-e5aa-4fbc-933c-9c1534decf0a","metadata":{"height":147,"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["gpt-3.5-turbo-0301\n"]}],"source":["import datetime\n","current_date = datetime.datetime.now().date()\n","if current_date < datetime.date(2023, 9, 2):\n","    llm_name = \"gpt-3.5-turbo-0301\"\n","else:\n","    llm_name = \"gpt-3.5-turbo\"\n","print(llm_name)"]},{"cell_type":"markdown","id":"baddf039","metadata":{},"source":["如果您想在 `Lang Chain plus` 平台上进行实验：\n","\n","- 前往 langchain plus 平台并注册\n","\n","- 从您的帐户设置创建 api 密钥\n","\n","- 在下面的代码中使用此 api 密钥"]},{"cell_type":"code","execution_count":null,"id":"ba19ea7d","metadata":{"height":96,"tags":[]},"outputs":[],"source":["#import os\n","#os.environ[\"LANGCHAIN_TRACING_V2\"] = \"true\"\n","#os.environ[\"LANGCHAIN_ENDPOINT\"] = \"https://api.langchain.plus\"\n","#os.environ[\"LANGCHAIN_API_KEY\"] = \"...\""]},{"cell_type":"code","execution_count":3,"id":"ab80dc86","metadata":{"height":113,"tags":[]},"outputs":[],"source":["# 加载向量库，其中包含了所有课程材料的 Embedding。\n","from langchain.vectorstores import Chroma\n","from langchain.embeddings.openai import OpenAIEmbeddings\n","persist_directory = 'docs/chroma/'\n","embedding = OpenAIEmbeddings()\n","vectordb = Chroma(persist_directory=persist_directory, embedding_function=embedding)"]},{"cell_type":"code","execution_count":5,"id":"b7a409bf","metadata":{"height":79,"tags":[]},"outputs":[{"data":{"text/plain":["3"]},"execution_count":5,"metadata":{},"output_type":"execute_result"}],"source":["# 对向量库进行基本的相似度搜索\n","question = \"What are major topics for this class?\"\n","docs = vectordb.similarity_search(question,k=3)\n","len(docs)"]},{"cell_type":"code","execution_count":4,"id":"d59d01b0","metadata":{"height":79,"tags":[]},"outputs":[{"data":{"text/plain":["3"]},"execution_count":4,"metadata":{},"output_type":"execute_result"}],"source":["question = \"这门课的主要内容是什么？\"\n","docs = vectordb.similarity_search(question,k=3)\n","len(docs)"]},{"cell_type":"code","execution_count":5,"id":"01c58c2b","metadata":{"height":79,"tags":[]},"outputs":[{"data":{"text/plain":["'Hello there! How can I assist you today?'"]},"execution_count":5,"metadata":{},"output_type":"execute_result"}],"source":["from langchain.chat_models import ChatOpenAI\n","llm = ChatOpenAI(model_name=llm_name, temperature=0)\n","llm.predict(\"Hello world!\")"]},{"cell_type":"code","execution_count":7,"id":"d683c6ed","metadata":{"height":336},"outputs":[{"data":{"text/plain":["'Yes, probability is assumed to be a prerequisite for this class. The instructor assumes familiarity with basic probability and statistics, and will go over some of the prerequisites in the discussion sections as a refresher course. Thanks for asking!'"]},"execution_count":7,"metadata":{},"output_type":"execute_result"}],"source":["# 初始化一个 prompt 模板，创建一个检索 QA 链，然后传入一个问题并得到一个结果。\n","# 构建 prompt\n","from langchain.prompts import PromptTemplate\n","template = \"\"\"Use the following pieces of context to answer the question at the end. If you don't know the answer, just say that you don't know, don't try to make up an answer. Use three sentences maximum. Keep the answer as concise as possible. Always say \"thanks for asking!\" at the end of the answer. \n","{context}\n","Question: {question}\n","Helpful Answer:\"\"\"\n","QA_CHAIN_PROMPT = PromptTemplate(input_variables=[\"context\", \"question\"],template=template,)\n","\n","# 运行 chain\n","from langchain.chains import RetrievalQA\n","question = \"Is probability a class topic?\"\n","qa_chain = RetrievalQA.from_chain_type(llm,\n","                                       retriever=vectordb.as_retriever(),\n","                                       return_source_documents=True,\n","                                       chain_type_kwargs={\"prompt\": QA_CHAIN_PROMPT})\n","\n","\n","result = qa_chain({\"query\": question})\n","result[\"result\"]"]},{"cell_type":"code","execution_count":6,"id":"b8aa6c11","metadata":{"height":351,"tags":[]},"outputs":[{"data":{"text/plain":["'概率是课堂主题之一，但这门课程不会过多涉及编程。需要对基本概率和统计学有一定的了解，以及基本的线性代数知识。谢谢你的提问！'"]},"execution_count":6,"metadata":{},"output_type":"execute_result"}],"source":["# 构建 prompt\n","from langchain.prompts import PromptTemplate\n","template = \"\"\"使用以下上下文来回答最后的问题。如果你不知道答案，就说你不知道，不要试图编造答案。最多使用三句话。尽量使答案简明扼要。总是在回答的最后说“谢谢你的提问！”。\n","{context}\n","问题: {question}\n","有用的回答:\"\"\"\n","QA_CHAIN_PROMPT = PromptTemplate(input_variables=[\"context\", \"question\"],template=template,)\n","\n","# 运行 chain\n","from langchain.chains import RetrievalQA\n","question = \"概率是课堂主题吗？\"\n","qa_chain = RetrievalQA.from_chain_type(llm,\n","                                       retriever=vectordb.as_retriever(),\n","                                       return_source_documents=True,\n","                                       chain_type_kwargs={\"prompt\": QA_CHAIN_PROMPT})\n","\n","\n","result = qa_chain({\"query\": question})\n","result[\"result\"]"]},{"cell_type":"markdown","id":"84f8d2e2","metadata":{},"source":["## 二、记忆（Memory）"]},{"cell_type":"markdown","id":"5263e1ed","metadata":{"height":30},"source":["现在让我们更进一步，添加一些记忆功能。\n","\n","我们将使用 `ConversationBufferMemory`。它保存聊天消息历史记录的列表，这些历史记录将在回答问题时与问题一起传递给聊天机器人，从而将它们添加到上下文中。\n","\n","需要注意的是，我们之前讨论的上下文检索等方法，在这里同样可用。 "]},{"cell_type":"code","execution_count":7,"id":"7e99e754","metadata":{"height":113,"tags":[]},"outputs":[],"source":["from langchain.memory import ConversationBufferMemory\n","memory = ConversationBufferMemory(\n","    memory_key=\"chat_history\", # 与 prompt 的输入变量保持一致。\n","    return_messages=True # 将以消息列表的形式返回聊天记录，而不是单个字符串\n",")"]},{"cell_type":"markdown","id":"244e1b7a","metadata":{},"source":["## 三、对话检索链（ConversationalRetrievalChain）"]},{"cell_type":"markdown","id":"39700b1c","metadata":{"height":30},"source":["在检索 QA 链的基础上，对话检索链添加了新步骤，将历史记录和新问题压缩为一个独立的问题，并在向量库中进行相关文档的查找。此外，当有多个答案时，内存记录下所有答案。我们在运行和观察其效果后，可以在UI中查看具体细节。 \n","\n","对话检索链（ConversationalRetrievalChain）在 QA 检索链的基础上增加了一个新的环节，而不仅仅是 memery。\n","\n","具体来说，它增加了一个步骤，该步骤将历史记录和新问题浓缩为一个独立的问题，并将其传递给向量存储器以查找相关文档。\n","\n","\n","我们将在运行后在用户界面中查看其效果。但现在，让我们来试试。我们可以提出一个问题。这是没有任何历史记录的，看看我们得到的结果。然后我们可以针对答案提出一个后续问题。这和之前一样。所以我们问，概率是一个类主题吗？我们会得到一些答案。"]},{"cell_type":"code","execution_count":8,"id":"23700502","metadata":{"height":147,"tags":[]},"outputs":[],"source":["from langchain.chains import ConversationalRetrievalChain\n","retriever=vectordb.as_retriever()\n","qa = ConversationalRetrievalChain.from_llm(\n","    llm,\n","    retriever=retriever,\n","    memory=memory\n",")"]},{"cell_type":"code","execution_count":10,"id":"e25b9fbb","metadata":{"height":62,"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["Yes, probability is a topic that will be assumed to be familiar to students in this class. The instructor assumes that students have a basic understanding of probability and statistics, and will go over some of the prerequisites as a refresher course in the discussion sections.\n"]}],"source":["question = \"Is probability a class topic?\"\n","result = qa({\"question\": question})\n","print(result['answer'])"]},{"cell_type":"code","execution_count":9,"id":"622478ba","metadata":{"height":69,"scrolled":true,"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["是的，根据文本中的描述，概率是这门课程的一个基本主题，因此学生需要对基本的概率和统计知识有所了解。\n"]}],"source":["question = \"概率是一个课堂主题吗？\"\n","result = qa({\"question\": question})\n","print(result['answer'])"]},{"cell_type":"code","execution_count":11,"id":"5b280672","metadata":{"height":62,"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["The reason for needing those prerequisites in the class is that the instructor assumes that all students have a basic knowledge of computer science and knowledge of the basic computer skills and principles, such as knowing what big-O notation is.\n"]}],"source":["question = \"why are those prerequesites needed?\"\n","result = qa({\"question\": question})\n","print(result['answer'])"]},{"cell_type":"code","execution_count":10,"id":"fcd08a60","metadata":{"height":70,"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["学生需要对基本的概率和统计知识有所了解，因为这些知识是机器学习的基础。在机器学习中，我们需要使用概率和统计来理解和解决各种问题，例如分类、回归、聚类等。如果学生没有这些基础知识，将很难理解机器学习的概念和方法。此外，对于那些已经学过概率和统计的学生，这门课程将帮助他们将这些知识应用到机器学习中。\n"]}],"source":["question = \"为什么需要这些先决条件？\"\n","result = qa({\"question\": question})\n","print(result['answer'])"]},{"cell_type":"markdown","id":"31e0742e-2085-4635-b87d-6596925f1077","metadata":{"tags":[]},"source":["## 四、创建一个适用于您文档的聊天机器人"]},{"cell_type":"code","execution_count":12,"id":"8622a19c-0711-49aa-8d1d-9ddfb6af7032","metadata":{"height":181,"tags":[]},"outputs":[],"source":["from langchain.embeddings.openai import OpenAIEmbeddings\n","from langchain.text_splitter import CharacterTextSplitter, RecursiveCharacterTextSplitter\n","from langchain.vectorstores import DocArrayInMemorySearch\n","from langchain.document_loaders import TextLoader\n","from langchain.chains import RetrievalQA,  ConversationalRetrievalChain\n","from langchain.memory import ConversationBufferMemory\n","from langchain.chat_models import ChatOpenAI\n","from langchain.document_loaders import TextLoader\n","from langchain.document_loaders import PyPDFLoader"]},{"cell_type":"markdown","id":"95f69afe","metadata":{},"source":["跟视频拍摄相比，聊天机器人代码已进行了一些更新。图形用户界面的外观也因运行平台而异。"]},{"cell_type":"code","execution_count":13,"id":"69dff120","metadata":{"height":404},"outputs":[],"source":["def load_db(file, chain_type, k):\n","    \"\"\"\n","    该函数用于加载 PDF 文件，切分文档，生成文档的嵌入向量，创建向量数据库，定义检索器，并创建聊天机器人实例。\n","\n","    参数:\n","    file (str): 要加载的 PDF 文件路径。\n","    chain_type (str): 链类型，用于指定聊天机器人的类型。\n","    k (int): 在检索过程中，返回最相似的 k 个结果。\n","\n","    返回:\n","    qa (ConversationalRetrievalChain): 创建的聊天机器人实例。\n","    \"\"\"\n","    # 载入文档\n","    loader = PyPDFLoader(file)\n","    documents = loader.load()\n","    # 切分文档\n","    text_splitter = RecursiveCharacterTextSplitter(chunk_size=1000, chunk_overlap=150)\n","    docs = text_splitter.split_documents(documents)\n","    # 定义 Embeddings\n","    embeddings = OpenAIEmbeddings()\n","    # 根据数据创建向量数据库\n","    db = DocArrayInMemorySearch.from_documents(docs, embeddings)\n","    # 定义检索器\n","    retriever = db.as_retriever(search_type=\"similarity\", search_kwargs={\"k\": k})\n","    # 创建 chatbot 链，Memory 由外部管理\n","    qa = ConversationalRetrievalChain.from_llm(\n","        llm=ChatOpenAI(model_name=llm_name, temperature=0), \n","        chain_type=chain_type, \n","        retriever=retriever, \n","        return_source_documents=True,\n","        return_generated_question=True,\n","    )\n","    return qa \n"]},{"cell_type":"code","execution_count":14,"id":"b525019d-3acd-40ff-9844-141116155d68","metadata":{"height":1320,"tags":[]},"outputs":[],"source":["import panel as pn\n","import param\n","\n","# 用于存储聊天记录、回答、数据库查询和回复\n","class cbfs(param.Parameterized):\n","    chat_history = param.List([])\n","    answer = param.String(\"\")\n","    db_query  = param.String(\"\")\n","    db_response = param.List([])\n","    \n","    def __init__(self,  **params):\n","        super(cbfs, self).__init__( **params)\n","        self.panels = []\n","        self.loaded_file = \"docs/cs229_lectures/MachineLearning-Lecture01.pdf\"\n","        self.qa = load_db(self.loaded_file,\"stuff\", 4)\n","    \n","    # 将文档加载到聊天机器人中\n","    def call_load_db(self, count):\n","        \"\"\"\n","        count: 数量\n","        \"\"\"\n","        if count == 0 or file_input.value is None:  # 初始化或未指定文件 :\n","            return pn.pane.Markdown(f\"Loaded File: {self.loaded_file}\")\n","        else:\n","            file_input.save(\"temp.pdf\")  # 本地副本\n","            self.loaded_file = file_input.filename\n","            button_load.button_style=\"outline\"\n","            self.qa = load_db(\"temp.pdf\", \"stuff\", 4)\n","            button_load.button_style=\"solid\"\n","        self.clr_history()\n","        return pn.pane.Markdown(f\"Loaded File: {self.loaded_file}\")\n","\n","    # 处理对话链\n","    def convchain(self, query):\n","        \"\"\"\n","        query: 用户的查询\n","        \"\"\"\n","        if not query:\n","            return pn.WidgetBox(pn.Row('User:', pn.pane.Markdown(\"\", width=600)), scroll=True)\n","        result = self.qa({\"question\": query, \"chat_history\": self.chat_history})\n","        self.chat_history.extend([(query, result[\"answer\"])])\n","        self.db_query = result[\"generated_question\"]\n","        self.db_response = result[\"source_documents\"]\n","        self.answer = result['answer'] \n","        self.panels.extend([\n","            pn.Row('User:', pn.pane.Markdown(query, width=600)),\n","            pn.Row('ChatBot:', pn.pane.Markdown(self.answer, width=600, style={'background-color': '#F6F6F6'}))\n","        ])\n","        inp.value = ''  # 清除时清除装载指示器\n","        return pn.WidgetBox(*self.panels,scroll=True)\n","    \n","    # 获取最后发送到数据库的问题\n","    @param.depends('db_query ', )\n","    def get_lquest(self):\n","        if not self.db_query :\n","            return pn.Column(\n","                pn.Row(pn.pane.Markdown(f\"Last question to DB:\", styles={'background-color': '#F6F6F6'})),\n","                pn.Row(pn.pane.Str(\"no DB accesses so far\"))\n","            )\n","        return pn.Column(\n","            pn.Row(pn.pane.Markdown(f\"DB query:\", styles={'background-color': '#F6F6F6'})),\n","            pn.pane.Str(self.db_query )\n","        )\n","    \n","    # 获取数据库返回的源文件\n","    @param.depends('db_response', )\n","    def get_sources(self):\n","        if not self.db_response:\n","            return \n","        rlist=[pn.Row(pn.pane.Markdown(f\"Result of DB lookup:\", styles={'background-color': '#F6F6F6'}))]\n","        for doc in self.db_response:\n","            rlist.append(pn.Row(pn.pane.Str(doc)))\n","        return pn.WidgetBox(*rlist, width=600, scroll=True)\n","\n","    # 获取当前聊天记录\n","    @param.depends('convchain', 'clr_history') \n","    def get_chats(self):\n","        if not self.chat_history:\n","            return pn.WidgetBox(pn.Row(pn.pane.Str(\"No History Yet\")), width=600, scroll=True)\n","        rlist=[pn.Row(pn.pane.Markdown(f\"Current Chat History variable\", styles={'background-color': '#F6F6F6'}))]\n","        for exchange in self.chat_history:\n","            rlist.append(pn.Row(pn.pane.Str(exchange)))\n","        return pn.WidgetBox(*rlist, width=600, scroll=True)\n","    \n","    # 清除聊天记录\n","    def clr_history(self,count=0):\n","        self.chat_history = []\n","        return \n"]},{"cell_type":"markdown","id":"54958d9d-2a0f-457d-9a2b-97e6c9859684","metadata":{"tags":[]},"source":["## 五、创建聊天机器人"]},{"cell_type":"code","execution_count":15,"id":"73b7f691-6314-4fcc-9e48-0d09d61099fd","metadata":{"height":691,"tags":[]},"outputs":[{"data":{},"metadata":{},"output_type":"display_data"},{"data":{"application/vnd.holoviews_exec.v0+json":"","text/html":["<div id='747fb5bf-923d-4aee-a1ad-027155ab96d6'>\n","  <div id=\"c191cf58-3a3b-4a6c-8f69-9aa452351dd5\" data-root-id=\"747fb5bf-923d-4aee-a1ad-027155ab96d6\" style=\"display: contents;\"></div>\n","</div>\n","<script type=\"application/javascript\">(function(root) {\n","  var docs_json = {\"265ee3a2-9952-4fa6-8c1a-30fdf15c370a\":{\"version\":\"3.1.1\",\"title\":\"Bokeh 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{\n","    var Bokeh = get_bokeh(root)\n","    Bokeh.embed.embed_items_notebook(docs_json, render_items);\n","    for (const render_item of render_items) {\n","      for (const root_id of render_item.root_ids) {\n","\tconst id_el = document.getElementById(root_id)\n","\tif (id_el.children.length && (id_el.children[0].className === 'bk-root')) {\n","\t  const root_el = id_el.children[0]\n","\t  root_el.id = root_el.id + '-rendered'\n","\t}\n","      }\n","    }\n","  }\n","  function get_bokeh(root) {\n","    if (root.Bokeh === undefined) {\n","      return null\n","    } else if (root.Bokeh.version !== py_version && !is_dev) {\n","      if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {\n","\treturn null\n","      }\n","      return root.Bokeh.versions.get(py_version);\n","    } else if (root.Bokeh.version === py_version) {\n","      return root.Bokeh\n","    }\n","    return null\n","  }\n","  function is_loaded(root) {\n","    var Bokeh = get_bokeh(root)\n","    return (Bokeh != null && Bokeh.Panel !== undefined)\n","  }\n","  if (is_loaded(root)) {\n","    embed_document(root);\n","  } else {\n","    var attempts = 0;\n","    var timer = setInterval(function(root) {\n","      if (is_loaded(root)) {\n","        clearInterval(timer);\n","        embed_document(root);\n","      } else if (document.readyState == \"complete\") {\n","        attempts++;\n","        if (attempts > 200) {\n","          clearInterval(timer);\n","\t  var Bokeh = get_bokeh(root)\n","\t  if (Bokeh == null || Bokeh.Panel == null) {\n","            console.warn(\"Panel: ERROR: Unable to run Panel code because Bokeh or Panel library is missing\");\n","\t  } else {\n","\t    console.warn(\"Panel: WARNING: Attempting to render but not all required libraries could be resolved.\")\n","\t    embed_document(root)\n","\t  }\n","        }\n","      }\n","    }, 25, root)\n","  }\n","})(window);</script>"],"text/plain":["Column\n","    [0] Row\n","        [0] Markdown(str)\n","    [1] Tabs\n","        [0] Column\n","            [0] Row\n","                [0] TextInput(placeholder='Enter text here…')\n","            [1] Divider()\n","            [2] ParamFunction(function, _pane=WidgetBox, defer_load=False, height=300, loading_indicator=True)\n","            [3] Divider()\n","        [1] Column\n","            [0] ParamMethod(method, _pane=Column, defer_load=False)\n","            [1] Divider()\n","            [2] ParamMethod(method, _pane=Str, defer_load=False)\n","        [2] Column\n","            [0] ParamMethod(method, _pane=WidgetBox, defer_load=False)\n","            [1] Divider()\n","        [3] Column\n","            [0] Row\n","                [0] FileInput(accept='.pdf')\n","                [1] Button(button_type='primary', name='Load DB')\n","                [2] ParamFunction(function, _pane=Markdown, defer_load=False)\n","            [1] Row\n","                [0] Button(button_type='warning', name='Clear History')\n","                [1] Markdown(str)\n","            [2] Divider()\n","            [3] Row\n","                [0] Image(str, width=400)"]},"execution_count":15,"metadata":{"application/vnd.holoviews_exec.v0+json":{"id":"747fb5bf-923d-4aee-a1ad-027155ab96d6"}},"output_type":"execute_result"}],"source":["# 初始化聊天机器人\n","cb = cbfs() \n","\n","# 定义界面的小部件\n","file_input = pn.widgets.FileInput(accept='.pdf') # PDF 文件的文件输入小部件\n","button_load = pn.widgets.Button(name=\"Load DB\", button_type='primary') # 加载数据库的按钮\n","button_clearhistory = pn.widgets.Button(name=\"Clear History\", button_type='warning') # 清除聊天记录的按钮\n","button_clearhistory.on_click(cb.clr_history) # 将清除历史记录功能绑定到按钮上\n","inp = pn.widgets.TextInput( placeholder='Enter text here…') # 用于用户查询的文本输入小部件\n","\n","# 将加载数据库和对话的函数绑定到相应的部件上\n","bound_button_load = pn.bind(cb.call_load_db, button_load.param.clicks)\n","conversation = pn.bind(cb.convchain, inp) \n","\n","jpg_pane = pn.pane.Image( './img/convchain.jpg')\n","\n","# 使用 Panel 定义界面布局\n","tab1 = pn.Column(\n","    pn.Row(inp),\n","    pn.layout.Divider(),\n","    pn.panel(conversation,  loading_indicator=True, height=300),\n","    pn.layout.Divider(),\n",")\n","tab2= pn.Column(\n","    pn.panel(cb.get_lquest),\n","    pn.layout.Divider(),\n","    pn.panel(cb.get_sources ),\n",")\n","tab3= pn.Column(\n","    pn.panel(cb.get_chats),\n","    pn.layout.Divider(),\n",")\n","tab4=pn.Column(\n","    pn.Row( file_input, button_load, bound_button_load),\n","    pn.Row( button_clearhistory, pn.pane.Markdown(\"Clears chat history. Can use to start a new topic\" )),\n","    pn.layout.Divider(),\n","    pn.Row(jpg_pane.clone(width=400))\n",")\n","# 将所有选项卡合并为一个仪表盘\n","dashboard = pn.Column(\n","    pn.Row(pn.pane.Markdown('# ChatWithYourData_Bot')),\n","    pn.Tabs(('Conversation', tab1), ('Database', tab2), ('Chat History', tab3),('Configure', tab4))\n",")\n","dashboard"]},{"cell_type":"markdown","id":"d2d2a016","metadata":{"height":30},"source":["请随意复制此代码并对其进行修改以添加您自己的功能。您可以通过更改 `load_db` 函数和 `convchain` 方法中的配置来尝试备用内存和检索器模型。[panel](https://panel.holoviz.org/) 和 [Param](https://param.holoviz.org/) 有许多有用的特性和小部件，可以用来扩展GUI。"]},{"cell_type":"markdown","id":"d0275b31-b5e3-4e15-a77f-1bf30c3e04e4","metadata":{},"source":["## 六、致谢\n","\n","基于 panel 的聊天机器人的灵感来自 Sophia Yang, [github](https://github.com/sophiamyang/tutorials-LangChain)"]}],"metadata":{"kernelspec":{"display_name":"Python 3 (ipykernel)","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.9.12"}},"nbformat":4,"nbformat_minor":5}
diff --git "a/content/\345\277\205\344\277\256\345\233\233-LangChain Chat with Your Data/requirements.txt" "b/content/\345\277\205\344\277\256\345\233\233-LangChain Chat with Your Data/requirements.txt"
deleted file mode 100644
index 929b8079..00000000
--- "a/content/\345\277\205\344\277\256\345\233\233-LangChain Chat with Your Data/requirements.txt"	
+++ /dev/null
@@ -1,13 +0,0 @@
-chromadb==0.5.0
-docarray==0.40.0
-jupyter_bokeh==4.0.5
-lark==1.1.9
-langchain==0.2.3
-langchain_community==0.2.4
-openai==1.33.0
-panel==1.4.4
-pydub==0.25.1
-pypdf==4.2.0
-python-dotenv==1.0.1
-scikit-learn==1.5.0
-tiktoken==0.7.0
\ No newline at end of file
diff --git "a/content/\351\200\211\344\277\256-Functions, Tools and Agents with LangChain/1. \347\256\200\344\273\213 Introduction.md" "b/content/\351\200\211\344\277\256-Functions, Tools and Agents with LangChain/1. \347\256\200\344\273\213 Introduction.md"
deleted file mode 100644
index cd1a96fd..00000000
--- "a/content/\351\200\211\344\277\256-Functions, Tools and Agents with LangChain/1. \347\256\200\344\273\213 Introduction.md"	
+++ /dev/null
@@ -1,26 +0,0 @@
-# 第一章 简介
-
-欢迎来到《使用 LangChain 的函数、工具和代理》课程，让我们一起开始本次学习！
-
-本教程由 LangChain 创始人 Harrison Chase 与 DeepLearning.AI 合作推出，将介绍如何使用 OpenAI 的 API 以及使用 LangChain 表达式语言（LCEL）来构建 Agent。
-
-## 一、背景
-
-随着大模型的快速发展，已经显示出了 LLM 使用自然语言与人类进行交互的强大能力。
-
-现在人们不仅限于用 LLM 来生成文本内容，而希望能与现有的软件基础设施进行交互，比如能够自主判断函数的调用，灵活地调用代码作为子程序。这样可以用来处理一些格式化的数据，这些数据有时候并不是很好的被 LLM 所理解，比如 JSON 格式数据的值，而不仅仅是单纯的文本。
-
-## 二、课程基本内容
-
-LangChain 是用于构建大模型应用程序的开源框架，搭建了一个开发者与 LLMs 之间的桥梁，并且能支持多个 LLMs 模型、向量存储等等功能，在前面的课程也有介绍过 LangChain。
-
-本次课程主要是顺应 LLMs 的潮流，如今  LangChain 与 ChatGPT 的 API 函数调用都有了新的更新，使用了一种名为`LangChain Expression Language（LCEL）`的新语法构建对话代理，用于标记、提取、工具选择和路由等任务。
-
-在本次课程中，主要内容如下
-
-1. 介绍 OpenAI 的 API 调用的新功能，能够格式化输出的格式。
-2. 学习 LangChain 表达语言 LCEL（Langchain Expression Language）的开发，简化了进行组合组件或链的过程。
-3. 学习如何将函数应用于标记和数据提取等任务
-4. 利用 LangChain 工具和 LLMs 函数构建一个功能强大的对话代理（Agent），能够灵活选择工具进行推理。
-
-通过使用这些工具和函数，我们可以让代理进行复杂的多步推理，并且自动选择工具来解决问题，增强 Agent 的智能，让我们一起探索 Agent 的强大能力吧！
diff --git "a/content/\351\200\211\344\277\256-Functions, Tools and Agents with LangChain/2. OpenAI\345\207\275\346\225\260\350\260\203\347\224\250 OpenAI Function Calling.ipynb" "b/content/\351\200\211\344\277\256-Functions, Tools and Agents with LangChain/2. OpenAI\345\207\275\346\225\260\350\260\203\347\224\250 OpenAI Function Calling.ipynb"
deleted file mode 100644
index 4b177a3a..00000000
--- "a/content/\351\200\211\344\277\256-Functions, Tools and Agents with LangChain/2. OpenAI\345\207\275\346\225\260\350\260\203\347\224\250 OpenAI Function Calling.ipynb"	
+++ /dev/null
@@ -1,1259 +0,0 @@
-{
-  "cells": [
-    {
-      "cell_type": "markdown",
-      "id": "7134fad1",
-      "metadata": {
-        "id": "7134fad1"
-      },
-      "source": [
-        "# 第二章 OpenAI 函数调用 OpenAI Function Calling\n",
-        "\n",
-        "本章主要介绍 OpenAI 的 API 提供的新功能，在最近几个月，OpenAI 对一些新的模型进行了微调，分别是`gpt-3.5-turbo-0613`和`gpt-4-0613`。\n",
-        "\n",
-        "假如我们有一个工具函数，在一些特定情况下需要调用，经过微调后，这些模型能够传入新的参数，可以通过这个新的参数来自动判断是否调用工具函数，如果判断需要调用工具函数，会返回这个工具函数和对应的输入参数。\n",
-        "\n",
-        "\n",
-        "- [一、OpenAI函数新参数](#一openai函数新参数)\n",
-        "  - [1.1 简单例子：得到当前天气](#11-简单例子得到当前天气)  \n",
-        "  - [1.2 新参数：functions](#12-新参数functions) \n",
-        "  - [1.3 相关提示调用结果](#13-相关提示调用结果)    \n",
-        "  - [1.4 无关提示调用结果](#14-无关提示调用结果)\n",
-        "- [二、Function Call参数模式](#二function-call参数模式)\n",
-        "  - [2.1 自动判断是否调用](#21-自动判断是否调用)    \n",
-        "  - [2.2 强制不调用](#22-强制不调用)    \n",
-        "  - [2.3 强制调用](#23-强制调用)  \n",
-        "- [三、函数调用以及执行函数](#三函数调用以及执行函数)   \n",
-        "- [四、英文版提示](#四英文版提示)"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "d0d4e112",
-      "metadata": {},
-      "source": [
-        "## 一、OpenAI函数新参数\n",
-        "\n",
-        "首先我们直接定义使用`OPENAI_API_KEY`，方便后续去调用OpenAI的API接口，并利用其函数。"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 1,
-      "id": "68b323d9",
-      "metadata": {
-        "id": "68b323d9"
-      },
-      "outputs": [],
-      "source": [
-        "import os\n",
-        "import openai\n",
-        "\n",
-        "os.environ['OPENAI_API_KEY'] = \"YOUR_API_KEY\"\n",
-        "openai.api_key = os.environ['OPENAI_API_KEY']"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "fba14f39",
-      "metadata": {
-        "id": "fba14f39"
-      },
-      "source": [
-        "### 1.1 简单例子：得到当前天气\n",
-        "\n",
-        "首先我们使用 OpenAI 的使用的第一个例子，定义了一个`get_current_weather`的函数，正常来说，获取当前天气是语言模型本身不能完全做到的事情。因此，我们希望能够将语言模型和这样的函数结合起来，以当前的信息来增强它。\n",
-        "\n",
-        "在这个函数，我们固定了返回的值，比如温度固定为 22 摄氏度，但在实际应用中，这可能涉及到调用天气   API 或一些外部知识源。"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 28,
-      "id": "041aacb9",
-      "metadata": {
-        "id": "041aacb9"
-      },
-      "outputs": [],
-      "source": [
-        "import json\n",
-        "\n",
-        "# 定义一个函数，用于获取给定位置的当前天气\n",
-        "def get_current_weather(location, unit=\"摄氏度\"):\n",
-        "    \"\"\"获取指定位置的当前天气\"\"\"\n",
-        "    # 模拟返回相同的天气情况的示例函数\n",
-        "    # 在实际应用环境中，这可以是天气API\n",
-        "    # 创建一个天气信息的字典\n",
-        "    weather_info = {\n",
-        "        \"location\": location,  # 天气的位置\n",
-        "        \"temperature\": \"22\",  # 温度\n",
-        "        \"unit\": unit,  # 温度单位，默认为摄氏度\n",
-        "        \"forecast\": [\"晴\", \"多云\"],  # 天气预报\n",
-        "    }\n",
-        "    # 将天气信息转换为JSON格式的字符串并返回\n",
-        "    return json.dumps(weather_info)"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "a7ba1a92",
-      "metadata": {
-        "id": "a7ba1a92"
-      },
-      "source": [
-        "### 1.2 新参数：functions\n",
-        "\n",
-        "那我们如何将这样的函数传给语言模型呢？OpenAI引入了一个名为`functions`的新参数，通过该参数，我们可以传递一个函数定义列表。由于我们只有一个函数，所以列表中只有一个元素。这是一个JSON对象，具有几个不同的参数。\n",
-        "\n",
-        "- name：函数的名称\n",
-        "- description：函数的描述\n",
-        "- parameters：参数对象，里面有一些属性设置\n",
-        "  - type：类型\n",
-        "  - properties：本身是一个对象，传入的是对应的参数的描述。在例子中我们可以看到有两个元素，`location`和`unit`。每个这些元素都有一个类型，即字符串，然后是一个描述。`unit`是一个外部参数的设置，比如这里我们希望它可以是摄氏度或华氏度，所以我们可以在这里定义他的类型和以及枚举参数值。\n",
-        "  - required：必填的参数，比如这里我们需要的参数就是`location`。\n",
-        "\n",
-        "在函数定义中，`description`以及在`properties`中的参数非常重要，因为这些将直接传递给语言模型，语言模型将使用这些描述来判断是否使用此函数。"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 29,
-      "id": "d00a4ad8",
-      "metadata": {
-        "id": "d00a4ad8"
-      },
-      "outputs": [],
-      "source": [
-        "# 定义一个函数\n",
-        "functions = [\n",
-        "    {\n",
-        "        \"name\": \"get_current_weather\",\n",
-        "        \"description\": \"获取指定位置的当前天气情况\",\n",
-        "        \"parameters\": {\n",
-        "            \"type\": \"object\",\n",
-        "            \"properties\": {\n",
-        "                \"location\": {\n",
-        "                    \"type\": \"string\",\n",
-        "                    \"description\": \"城市和省份，例如：北京，北京市\",\n",
-        "                },\n",
-        "                \"unit\": {\"type\": \"string\", \"enum\": [\"摄氏度\", \"华氏度\"]},\n",
-        "            },\n",
-        "            \"required\": [\"location\"],\n",
-        "        },\n",
-        "    }\n",
-        "]"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "ecfb5fd6",
-      "metadata": {
-        "id": "ecfb5fd6"
-      },
-      "source": [
-        "### 1.3 相关提示调用结果\n",
-        "\n",
-        "接下来我们就可以定义一个有关于天气的问题，如”北京的天气怎么样？“，然后使用 OpenAI 的函数进行调用对话的 API。首先我们得选取较新的模型，如`gpt-3.5-turbo-0613`，然后我们再将上述定义的        function 函数传入，查看最后的响应结果。\n",
-        "\n",
-        "从结果上来看，返回的消息的角色是助手，内容为空，而是有一个函数调用参数`function_call`，其中包含两个对象，`name`和`arguments`。`Name`是`get_current_weather`，这与我们传递的函数的名称相同，然后`arguments`是这个 JSON 格式的字典，里面是我们需要的参数。"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "id": "6c9d6e3a",
-      "metadata": {},
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "{\n",
-            "  \"choices\": [\n",
-            "    {\n",
-            "      \"finish_reason\": \"function_call\",\n",
-            "      \"index\": 0,\n",
-            "      \"logprobs\": null,\n",
-            "      \"message\": {\n",
-            "        \"content\": null,\n",
-            "        \"function_call\": {\n",
-            "          \"arguments\": \"{\\n  \\\"location\\\": \\\"\\u5317\\u4eac\\uff0c\\u5317\\u4eac\\u5e02\\\",\\n  \\\"unit\\\": \\\"\\u6444\\u6c0f\\u5ea6\\\"\\n}\",\n",
-            "          \"name\": \"get_current_weather\"\n",
-            "        },\n",
-            "        \"role\": \"assistant\"\n",
-            "      }\n",
-            "    }\n",
-            "  ],\n",
-            "  \"created\": 1709602992,\n",
-            "  \"id\": \"chatcmpl-8zE7kIlpxzjsiuxH4q6wtRh8CLDH3\",\n",
-            "  \"model\": \"gpt-3.5-turbo-0613\",\n",
-            "  \"object\": \"chat.completion\",\n",
-            "  \"system_fingerprint\": null,\n",
-            "  \"usage\": {\n",
-            "    \"completion_tokens\": 30,\n",
-            "    \"prompt_tokens\": 95,\n",
-            "    \"total_tokens\": 125\n",
-            "  }\n",
-            "}\n"
-          ]
-        }
-      ],
-      "source": [
-        "import openai\n",
-        "\n",
-        "# 定义输入消息\n",
-        "messages = [\n",
-        "    {\n",
-        "        \"role\": \"user\",\n",
-        "        \"content\": \"北京的天气怎么样?\"\n",
-        "    }\n",
-        "]\n",
-        "\n",
-        "# 调用OpenAI的ChatCompletion API获取响应\n",
-        "response = openai.ChatCompletion.create(\n",
-        "    model=\"gpt-3.5-turbo-0613\",\n",
-        "    messages=messages,\n",
-        "    functions=functions # 传入function参数\n",
-        ")\n",
-        "\n",
-        "# 打印响应结果\n",
-        "print(response)"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "388c7dd5",
-      "metadata": {},
-      "source": [
-        "我们也可以看到响应的参数，比如在这里就是两个参数，分别是`location`和`unit`。"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "id": "88851464",
-      "metadata": {},
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "{\n",
-            "  \"location\": \"北京，北京市\",\n",
-            "  \"unit\": \"摄氏度\"\n",
-            "}\n"
-          ]
-        }
-      ],
-      "source": [
-        "# 打印传入参数\n",
-        "print(response[\"choices\"][0][\"message\"][\"function_call\"][\"arguments\"])"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "c04f92a6",
-      "metadata": {
-        "id": "c04f92a6"
-      },
-      "source": [
-        "如果我们仔细看响应的话，我们会发现内容现在是空的，`function_call`是一个字典，`function_call`中的`arguments`参数本身也是一个 JSON 字典。因此我们可以使用`json.loads`将其加载到 Python 字典中。它返回的参数可以直接传递给我们上述定义的`get_current_weather`函数。\n",
-        "\n",
-        "我们会发现，使用 OpenAI 进行函数调用并不直接调用工具函数，我们还是需要去调用工具函数，它只是告诉我们要调用哪个函数，即名称，以及该函数的参数应该是什么。以及由于他并没有去执行函数，所以说，如果我们在使用`json.loads`解码的时候遇到了一些问题，那实际上是模型的问题，所以这一部分可以考虑在写工具函数的时候做一些保护措施，后续也会讨论这一个点。"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "id": "23c71606",
-      "metadata": {},
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "{\n",
-            "  \"content\": null,\n",
-            "  \"function_call\": {\n",
-            "    \"arguments\": \"{\\n  \\\"location\\\": \\\"\\u5317\\u4eac\\uff0c\\u5317\\u4eac\\u5e02\\\",\\n  \\\"unit\\\": \\\"\\u6444\\u6c0f\\u5ea6\\\"\\n}\",\n",
-            "    \"name\": \"get_current_weather\"\n",
-            "  },\n",
-            "  \"role\": \"assistant\"\n",
-            "}\n"
-          ]
-        }
-      ],
-      "source": [
-        "# 获取response里面的message信息\n",
-        "response_message = response[\"choices\"][0][\"message\"]\n",
-        "\n",
-        "print(response_message)"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "id": "1f47fc65",
-      "metadata": {},
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "{\n",
-            "  \"location\": \"北京，北京市\",\n",
-            "  \"unit\": \"摄氏度\"\n",
-            "}\n"
-          ]
-        }
-      ],
-      "source": [
-        "# 打印参数\n",
-        "print(response[\"choices\"][0][\"message\"][\"function_call\"][\"arguments\"])"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "id": "03007bf0",
-      "metadata": {},
-      "outputs": [
-        {
-          "data": {
-            "text/plain": [
-              "'{\"location\": {\"location\": \"\\\\u5317\\\\u4eac\\\\uff0c\\\\u5317\\\\u4eac\\\\u5e02\", \"unit\": \"\\\\u6444\\\\u6c0f\\\\u5ea6\"}, \"temperature\": \"22\", \"unit\": \"\\\\u6444\\\\u6c0f\\\\u5ea6\", \"forecast\": [\"\\\\u6674\", \"\\\\u591a\\\\u4e91\"]}'"
-            ]
-          },
-          "metadata": {},
-          "output_type": "display_data"
-        }
-      ],
-      "source": [
-        "# 将JSON格式的字符串转换为Python对象\n",
-        "args = json.loads(response_message[\"function_call\"][\"arguments\"])\n",
-        "\n",
-        "# 调用get_current_weather函数并传入参数args\n",
-        "get_current_weather(args)"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "31263afb",
-      "metadata": {
-        "id": "31263afb"
-      },
-      "source": [
-        "### 1.4 无关提示调用结果\n",
-        "\n",
-        "接下来，我们也探讨一下，如果问的问题与函数无关会产生什么样的，也就是与天气无关，会返回什么样的信息呢？从结果上来看，我们可以返回的内容正常并且没有`function_call`参数，也就是在语言模型中判断不使用工具函数。"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "id": "4a1ea679",
-      "metadata": {},
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "{\n",
-            "  \"choices\": [\n",
-            "    {\n",
-            "      \"finish_reason\": \"stop\",\n",
-            "      \"index\": 0,\n",
-            "      \"logprobs\": null,\n",
-            "      \"message\": {\n",
-            "        \"content\": \"\\u4f60\\u597d\\uff01\\u6709\\u4ec0\\u4e48\\u6211\\u53ef\\u4ee5\\u5e2e\\u52a9\\u4f60\\u7684\\u5417\\uff1f\",\n",
-            "        \"role\": \"assistant\"\n",
-            "      }\n",
-            "    }\n",
-            "  ],\n",
-            "  \"created\": 1709602993,\n",
-            "  \"id\": \"chatcmpl-8zE7lZ3keV5JGVTFqvAWOGxit4cXj\",\n",
-            "  \"model\": \"gpt-3.5-turbo-0613\",\n",
-            "  \"object\": \"chat.completion\",\n",
-            "  \"system_fingerprint\": null,\n",
-            "  \"usage\": {\n",
-            "    \"completion_tokens\": 19,\n",
-            "    \"prompt_tokens\": 88,\n",
-            "    \"total_tokens\": 107\n",
-            "  }\n",
-            "}\n"
-          ]
-        }
-      ],
-      "source": [
-        "# 与天气无关提示调用\n",
-        "messages = [\n",
-        "    {\n",
-        "        \"role\": \"user\",\n",
-        "        \"content\": \"你好!\",\n",
-        "    }\n",
-        "]\n",
-        "\n",
-        "response = openai.ChatCompletion.create(\n",
-        "    model=\"gpt-3.5-turbo-0613\",\n",
-        "    messages=messages,\n",
-        "    functions=functions,\n",
-        "    function_call=\"auto\",\n",
-        ")\n",
-        "\n",
-        "print(response)"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "6ed07bb6",
-      "metadata": {},
-      "source": [
-        "由于编码问题，我们可以单独打印对应的返回的文本信息"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "id": "a89df974",
-      "metadata": {},
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "你好！有什么我可以帮助你的吗？\n"
-          ]
-        }
-      ],
-      "source": [
-        "print(response[\"choices\"][0][\"message\"][\"content\"])"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "c67fac41",
-      "metadata": {
-        "id": "c67fac41"
-      },
-      "source": [
-        "## 二、Function Call参数模式\n",
-        "\n",
-        "`function_call`参数一共有3种模式，我们可以传递其他参数`function_call`以强制模型使用或不使用函数。\n",
-        "\n",
-        "1. 默认情况下，它设置为`auto`，也就是模型自行选择。\n",
-        "2. 在第二种模式中，我们可以强制它调用一个函数。如果我们希望始终返回函数\n",
-        "3. 另一种模式是`none`。这会强制语言模型不使用提供的任何函数。\n",
-        "\n",
-        "### 2.1 自动判断是否调用\n",
-        "\n",
-        "`auto`模式就是大模型自行选择是否要返回参数，这一部分也是默认的，上述所有的方式都是`auto`的模式\n",
-        "\n",
-        "### 2.2 强制不调用\n",
-        "\n",
-        "`none`模式对于这个例子来说并不重要，因为内容`你好`不需要函数调用，所以我们看到它没有被使用。"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 9,
-      "id": "ba400aa9",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "ba400aa9",
-        "outputId": "8b563e4f-c447-45a7-eb42-6390488a80b9"
-      },
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "{\n",
-            "  \"id\": \"chatcmpl-8nfuv5tlp6UaSwUfmeHppJkQyFpCW\",\n",
-            "  \"object\": \"chat.completion\",\n",
-            "  \"created\": 1706849893,\n",
-            "  \"model\": \"gpt-3.5-turbo-0613\",\n",
-            "  \"choices\": [\n",
-            "    {\n",
-            "      \"index\": 0,\n",
-            "      \"message\": {\n",
-            "        \"role\": \"assistant\",\n",
-            "        \"content\": \"\\u4f60\\u597d\\uff01\\u6709\\u4ec0\\u4e48\\u53ef\\u4ee5\\u5e2e\\u52a9\\u4f60\\u7684\\u5417\\uff1f\"\n",
-            "      },\n",
-            "      \"logprobs\": null,\n",
-            "      \"finish_reason\": \"stop\"\n",
-            "    }\n",
-            "  ],\n",
-            "  \"usage\": {\n",
-            "    \"prompt_tokens\": 88,\n",
-            "    \"completion_tokens\": 17,\n",
-            "    \"total_tokens\": 105\n",
-            "  },\n",
-            "  \"system_fingerprint\": null\n",
-            "}\n",
-            "你好！有什么可以帮助你的吗？\n"
-          ]
-        }
-      ],
-      "source": [
-        "# 无关提示强制不调用\n",
-        "messages = [\n",
-        "    {\n",
-        "        \"role\": \"user\",\n",
-        "        \"content\": \"你好\",\n",
-        "    }\n",
-        "]\n",
-        "response = openai.ChatCompletion.create(\n",
-        "    model=\"gpt-3.5-turbo-0613\",\n",
-        "    messages=messages,\n",
-        "    functions=functions,\n",
-        "    function_call=\"none\", # 传入参数强制不调用\n",
-        ")\n",
-        "print(response)\n",
-        "print(response[\"choices\"][0][\"message\"][\"content\"])"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "3bcd0bb1",
-      "metadata": {
-        "id": "3bcd0bb1"
-      },
-      "source": [
-        "那如果我们在需要使用工具的函数时候强制不调用（也就是使用第二种模式）会出现什么结果呢？从结果上来看，他依然有正常的`role`和`content`，但是因为我们强制不调用函数，所以他在试图返回正确的参数，但是并不正确。"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 10,
-      "id": "d19386d5",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "d19386d5",
-        "outputId": "0f206c8e-21e9-4aca-c6b2-7674650d723e"
-      },
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "{\n",
-            "  \"id\": \"chatcmpl-8nfv0wFX6tqcaoU2gT4KqICymXDxa\",\n",
-            "  \"object\": \"chat.completion\",\n",
-            "  \"created\": 1706849898,\n",
-            "  \"model\": \"gpt-3.5-turbo-0613\",\n",
-            "  \"choices\": [\n",
-            "    {\n",
-            "      \"index\": 0,\n",
-            "      \"message\": {\n",
-            "        \"role\": \"assistant\",\n",
-            "        \"content\": \"\\u8bf7\\u7a0d\\u7b49\\uff0c\\u6211\\u4e3a\\u60a8\\u67e5\\u627e\\u5317\\u4eac\\u7684\\u5929\\u6c14\\u60c5\\u51b5\\u3002\"\n",
-            "      },\n",
-            "      \"logprobs\": null,\n",
-            "      \"finish_reason\": \"stop\"\n",
-            "    }\n",
-            "  ],\n",
-            "  \"usage\": {\n",
-            "    \"prompt_tokens\": 95,\n",
-            "    \"completion_tokens\": 18,\n",
-            "    \"total_tokens\": 113\n",
-            "  },\n",
-            "  \"system_fingerprint\": null\n",
-            "}\n",
-            "请稍等，我为您查找北京的天气情况。\n"
-          ]
-        }
-      ],
-      "source": [
-        "# 相关提示强制不调用\n",
-        "messages = [\n",
-        "    {\n",
-        "        \"role\": \"user\",\n",
-        "        \"content\": \"北京天气怎么样?\",\n",
-        "    }\n",
-        "]\n",
-        "response = openai.ChatCompletion.create(\n",
-        "    model=\"gpt-3.5-turbo-0613\",\n",
-        "    messages=messages,\n",
-        "    functions=functions,\n",
-        "    function_call=\"none\", # 传入参数强制不调用\n",
-        ")\n",
-        "print(response)\n",
-        "print(response[\"choices\"][0][\"message\"][\"content\"])"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "4ed657cb",
-      "metadata": {
-        "id": "4ed657cb"
-      },
-      "source": [
-        "### 2.3 强制调用\n",
-        "\n",
-        "`function_call`参数的最后一个模式是强制调用函数，方法也是很简单，只要在参数里面传入这个函数的名字即可。在这一部分，我们指定`name`为`get_current_weather`，这将强制它使用`get_current_weather`函数。如果我们查看结果，我们实际上会看到返回了这个`function_call`对象，其中有`name`为`get_current_weather`的一些参数。\n",
-        "\n",
-        "为了好玩，这里面传了一个于天气无关的参数，然后强制他使用`get_current_weather`函数，但我们传入的参数中绝对没有任何信息关于它应该如何调用该函数。所以在这里，他编造了北京，北京市的参数，如果我们再次运行它，它会不断地调用北京市的参数。\n",
-        "\n",
-        "我们还可以尝试使用不同的模型函数来调用，不同的参数值，不同的输入消息，但是这里面要注意一个事情，首先，函数本身和描述都会计入传递给OpenAI的令牌使用限制。所以如果我们运行这个，我们可以看到返回的提示令牌是95。如果我们注释掉`functions`和`function_call`，我们可以看到提示令牌减少到15。因为OpenAI模型对令牌有限制，因此，在构造要传递给OpenAI的消息时，现在不仅需要注意消息的长度，还需要注意传递的函数的长度。"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 13,
-      "id": "c432ee4c",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "c432ee4c",
-        "outputId": "507ca457-04ae-4a97-f7cd-6c7efd278ea8"
-      },
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "{\n",
-            "  \"id\": \"chatcmpl-8nfvkQDayf7kmYNdx4G84dkl1L5YC\",\n",
-            "  \"object\": \"chat.completion\",\n",
-            "  \"created\": 1706849944,\n",
-            "  \"model\": \"gpt-3.5-turbo-0613\",\n",
-            "  \"choices\": [\n",
-            "    {\n",
-            "      \"index\": 0,\n",
-            "      \"message\": {\n",
-            "        \"role\": \"assistant\",\n",
-            "        \"content\": null,\n",
-            "        \"function_call\": {\n",
-            "          \"name\": \"get_current_weather\",\n",
-            "          \"arguments\": \"{\\n  \\\"location\\\": \\\"\\u5317\\u4eac\\uff0c\\u5317\\u4eac\\u5e02\\\"\\n}\"\n",
-            "        }\n",
-            "      },\n",
-            "      \"logprobs\": null,\n",
-            "      \"finish_reason\": \"stop\"\n",
-            "    }\n",
-            "  ],\n",
-            "  \"usage\": {\n",
-            "    \"prompt_tokens\": 95,\n",
-            "    \"completion_tokens\": 12,\n",
-            "    \"total_tokens\": 107\n",
-            "  },\n",
-            "  \"system_fingerprint\": null\n",
-            "}\n",
-            "{\n",
-            "  \"location\": \"北京，北京市\"\n",
-            "}\n"
-          ]
-        }
-      ],
-      "source": [
-        "# 无关提示强制调用函数\n",
-        "messages = [\n",
-        "    {\n",
-        "        \"role\": \"user\",\n",
-        "        \"content\": \"你好!\",\n",
-        "    }\n",
-        "]\n",
-        "response = openai.ChatCompletion.create(\n",
-        "    model=\"gpt-3.5-turbo-0613\",\n",
-        "    messages=messages,\n",
-        "    functions=functions,\n",
-        "    function_call={\"name\": \"get_current_weather\"}, # 强制调用函数get_current_weather\n",
-        ")\n",
-        "print(response)\n",
-        "print(response[\"choices\"][0][\"message\"][\"function_call\"][\"arguments\"])"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "f3306ca8",
-      "metadata": {
-        "id": "f3306ca8"
-      },
-      "source": [
-        "## 三、函数调用以及执行函数\n",
-        "\n",
-        "最后，让我们看一下如何将这些函数调用和实际执行函数调用的结果传递回语言模型。这很重要，因为通常我们希望使用语言模型确定要调用的函数，然后运行该函数，但然后将其传递回语言模型以获得最终响应。\n",
-        "\n",
-        "我们会经过这样的流程，首先我们问问题得到一个带有`function call`参数的响应，然后我们将这个消息添加到我们的消息列表中。然后我们可以模拟使用语言模型提供的参数调用`get_current_weather`函数，并且保存到一个变量`observation`中。接着我们定义一个新的消息列表，表示刚刚调用函数的结果，这里面有一个重要的点就是`role`等于`function`，也就是告诉语言模型这是调用函数的响应。除此之外，还传递函数的名称`name`以及`content`变量，设为上述计算的`observation`。\n",
-        "\n",
-        "如果我们然后使用这个消息列表调用语言模型，我们可以看到语言模型回答的非常好：北京的天气目前是22摄氏度，天气以晴天为主，也有多云的情况。"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "id": "f1636ae0",
-      "metadata": {},
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "{\n",
-            "  \"choices\": [\n",
-            "    {\n",
-            "      \"finish_reason\": \"stop\",\n",
-            "      \"index\": 0,\n",
-            "      \"logprobs\": null,\n",
-            "      \"message\": {\n",
-            "        \"content\": \"\\u4f60\\u597d\\uff01\\u6709\\u4ec0\\u4e48\\u6211\\u53ef\\u4ee5\\u5e2e\\u52a9\\u4f60\\u7684\\u5417\\uff1f\",\n",
-            "        \"role\": \"assistant\"\n",
-            "      }\n",
-            "    }\n",
-            "  ],\n",
-            "  \"created\": 1709602993,\n",
-            "  \"id\": \"chatcmpl-8zE7lZ3keV5JGVTFqvAWOGxit4cXj\",\n",
-            "  \"model\": \"gpt-3.5-turbo-0613\",\n",
-            "  \"object\": \"chat.completion\",\n",
-            "  \"system_fingerprint\": null,\n",
-            "  \"usage\": {\n",
-            "    \"completion_tokens\": 19,\n",
-            "    \"prompt_tokens\": 88,\n",
-            "    \"total_tokens\": 107\n",
-            "  }\n",
-            "}\n"
-          ]
-        }
-      ],
-      "source": [
-        "# 与天气无关提示调用\n",
-        "messages = [\n",
-        "    {\n",
-        "        \"role\": \"user\",\n",
-        "        \"content\": \"你好!\",\n",
-        "    }\n",
-        "]\n",
-        "\n",
-        "response = openai.ChatCompletion.create(\n",
-        "    model=\"gpt-3.5-turbo-0613\",\n",
-        "    messages=messages,\n",
-        "    functions=functions,\n",
-        "    function_call=\"auto\",\n",
-        ")\n",
-        "\n",
-        "print(response)"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "b1577b5b",
-      "metadata": {},
-      "source": [
-        "由于编码问题，我们可以单独答应对应的返回的文本信息"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "id": "2f6dff4a",
-      "metadata": {},
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "你好！有什么我可以帮助你的吗？\n"
-          ]
-        }
-      ],
-      "source": [
-        "print(response[\"choices\"][0][\"message\"][\"content\"])"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "5940bf6d",
-      "metadata": {},
-      "source": [
-        "## 四、英文版提示\n",
-        "\n",
-        "**1.1 简单例子：得到当前天气**"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 17,
-      "id": "61a23996",
-      "metadata": {
-        "id": "61a23996"
-      },
-      "outputs": [],
-      "source": [
-        "import json\n",
-        "\n",
-        "# Example dummy function hard coded to return the same weather\n",
-        "# In production, this could be your backend API or an external API\n",
-        "def get_current_weather(location, unit=\"fahrenheit\"):\n",
-        "    \"\"\"Get the current weather in a given location\"\"\"\n",
-        "    weather_info = {\n",
-        "        \"location\": location,\n",
-        "        \"temperature\": \"72\",\n",
-        "        \"unit\": unit,\n",
-        "        \"forecast\": [\"sunny\", \"windy\"],\n",
-        "    }\n",
-        "    return json.dumps(weather_info)"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "44c5d2d2",
-      "metadata": {
-        "id": "44c5d2d2"
-      },
-      "source": [
-        "**1.2 定义function函数**"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 18,
-      "id": "4152b105",
-      "metadata": {
-        "id": "4152b105"
-      },
-      "outputs": [],
-      "source": [
-        "# define a function\n",
-        "functions = [\n",
-        "    {\n",
-        "        \"name\": \"get_current_weather\",\n",
-        "        \"description\": \"Get the current weather in a given location\",\n",
-        "        \"parameters\": {\n",
-        "            \"type\": \"object\",\n",
-        "            \"properties\": {\n",
-        "                \"location\": {\n",
-        "                    \"type\": \"string\",\n",
-        "                    \"description\": \"The city and state, e.g. San Francisco, CA\",\n",
-        "                },\n",
-        "                \"unit\": {\"type\": \"string\", \"enum\": [\"celsius\", \"fahrenheit\"]},\n",
-        "            },\n",
-        "            \"required\": [\"location\"],\n",
-        "        },\n",
-        "    }\n",
-        "]"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "668eb81c",
-      "metadata": {
-        "id": "668eb81c"
-      },
-      "source": [
-        "**1.3 相关提示调用结果**"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 19,
-      "id": "a6bd2994",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "a6bd2994",
-        "outputId": "ae7da376-c365-4177-a1d0-a4df92f6815e"
-      },
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "{\n",
-            "  \"id\": \"chatcmpl-8nfyFSmPyo4RoV79D5Urk1QzLCf1C\",\n",
-            "  \"object\": \"chat.completion\",\n",
-            "  \"created\": 1706850099,\n",
-            "  \"model\": \"gpt-3.5-turbo-0613\",\n",
-            "  \"choices\": [\n",
-            "    {\n",
-            "      \"index\": 0,\n",
-            "      \"message\": {\n",
-            "        \"role\": \"assistant\",\n",
-            "        \"content\": null,\n",
-            "        \"function_call\": {\n",
-            "          \"name\": \"get_current_weather\",\n",
-            "          \"arguments\": \"{\\n  \\\"location\\\": \\\"Boston, MA\\\"\\n}\"\n",
-            "        }\n",
-            "      },\n",
-            "      \"logprobs\": null,\n",
-            "      \"finish_reason\": \"function_call\"\n",
-            "    }\n",
-            "  ],\n",
-            "  \"usage\": {\n",
-            "    \"prompt_tokens\": 82,\n",
-            "    \"completion_tokens\": 18,\n",
-            "    \"total_tokens\": 100\n",
-            "  },\n",
-            "  \"system_fingerprint\": null\n",
-            "}\n"
-          ]
-        }
-      ],
-      "source": [
-        "messages = [\n",
-        "    {\n",
-        "        \"role\": \"user\",\n",
-        "        \"content\": \"What's the weather like in Boston?\"\n",
-        "    }\n",
-        "]\n",
-        "\n",
-        "response = openai.ChatCompletion.create(\n",
-        "    model=\"gpt-3.5-turbo-0613\",\n",
-        "    messages=messages,\n",
-        "    functions=functions\n",
-        ")\n",
-        "\n",
-        "print(response)"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "a60020d4",
-      "metadata": {
-        "id": "a60020d4"
-      },
-      "source": [
-        "**1.4 无关提示调用结果**"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 20,
-      "id": "b04b3318",
-      "metadata": {
-        "id": "b04b3318"
-      },
-      "outputs": [],
-      "source": [
-        "messages = [\n",
-        "    {\n",
-        "        \"role\": \"user\",\n",
-        "        \"content\": \"hi!\",\n",
-        "    }\n",
-        "]\n",
-        "\n",
-        "response = openai.ChatCompletion.create(\n",
-        "    model=\"gpt-3.5-turbo-0613\",\n",
-        "    messages=messages,\n",
-        "    functions=functions,\n",
-        ")"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "bfdbfe18",
-      "metadata": {
-        "id": "bfdbfe18"
-      },
-      "source": [
-        "**2.1 自动判断是否调用**\n",
-        "\n",
-        "自动判断是否调用函数，判断提示是否和函数相关"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 21,
-      "id": "e8c48d2b",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "e8c48d2b",
-        "outputId": "cf492711-60a5-42a7-e154-09a3b3174da1"
-      },
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "{\n",
-            "  \"id\": \"chatcmpl-8nfyHfC32MVE2gpE6HZxtmC7f7Mvi\",\n",
-            "  \"object\": \"chat.completion\",\n",
-            "  \"created\": 1706850101,\n",
-            "  \"model\": \"gpt-3.5-turbo-0613\",\n",
-            "  \"choices\": [\n",
-            "    {\n",
-            "      \"index\": 0,\n",
-            "      \"message\": {\n",
-            "        \"role\": \"assistant\",\n",
-            "        \"content\": \"Hello! How can I assist you today?\"\n",
-            "      },\n",
-            "      \"logprobs\": null,\n",
-            "      \"finish_reason\": \"stop\"\n",
-            "    }\n",
-            "  ],\n",
-            "  \"usage\": {\n",
-            "    \"prompt_tokens\": 76,\n",
-            "    \"completion_tokens\": 10,\n",
-            "    \"total_tokens\": 86\n",
-            "  },\n",
-            "  \"system_fingerprint\": null\n",
-            "}\n"
-          ]
-        }
-      ],
-      "source": [
-        "messages = [\n",
-        "    {\n",
-        "        \"role\": \"user\",\n",
-        "        \"content\": \"hi!\",\n",
-        "    }\n",
-        "]\n",
-        "response = openai.ChatCompletion.create(\n",
-        "    model=\"gpt-3.5-turbo-0613\",\n",
-        "    messages=messages,\n",
-        "    functions=functions,\n",
-        "    function_call=\"auto\",\n",
-        ")\n",
-        "print(response)"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "32eb9b08",
-      "metadata": {
-        "id": "32eb9b08"
-      },
-      "source": [
-        "**2.2 强制不调用**\n",
-        "\n",
-        "无关提示强制不调用，结果正常"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 22,
-      "id": "ba53560e",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "ba53560e",
-        "outputId": "c529ab29-8c49-4b2c-9645-10ae8c018f7b"
-      },
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "{\n",
-            "  \"id\": \"chatcmpl-8nfyfrOoacEQCPO3O2sYLukAdbxX4\",\n",
-            "  \"object\": \"chat.completion\",\n",
-            "  \"created\": 1706850125,\n",
-            "  \"model\": \"gpt-3.5-turbo-0613\",\n",
-            "  \"choices\": [\n",
-            "    {\n",
-            "      \"index\": 0,\n",
-            "      \"message\": {\n",
-            "        \"role\": \"assistant\",\n",
-            "        \"content\": \"Hello! How can I assist you today?\"\n",
-            "      },\n",
-            "      \"logprobs\": null,\n",
-            "      \"finish_reason\": \"stop\"\n",
-            "    }\n",
-            "  ],\n",
-            "  \"usage\": {\n",
-            "    \"prompt_tokens\": 77,\n",
-            "    \"completion_tokens\": 9,\n",
-            "    \"total_tokens\": 86\n",
-            "  },\n",
-            "  \"system_fingerprint\": null\n",
-            "}\n"
-          ]
-        }
-      ],
-      "source": [
-        "messages = [\n",
-        "    {\n",
-        "        \"role\": \"user\",\n",
-        "        \"content\": \"hi!\",\n",
-        "    }\n",
-        "]\n",
-        "response = openai.ChatCompletion.create(\n",
-        "    model=\"gpt-3.5-turbo-0613\",\n",
-        "    messages=messages,\n",
-        "    functions=functions,\n",
-        "    function_call=\"none\",\n",
-        ")\n",
-        "print(response)"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "0e037da0",
-      "metadata": {
-        "id": "0e037da0"
-      },
-      "source": [
-        "**2.3 强制调用**\n",
-        "\n",
-        "强制无关问题的调用"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 24,
-      "id": "32b16792",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "32b16792",
-        "outputId": "37b06217-4632-46e4-ce07-453e73814081"
-      },
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "{\n",
-            "  \"id\": \"chatcmpl-8nfyzFFeUyzJDYVbdiVDgPEtNrnKE\",\n",
-            "  \"object\": \"chat.completion\",\n",
-            "  \"created\": 1706850145,\n",
-            "  \"model\": \"gpt-3.5-turbo-0613\",\n",
-            "  \"choices\": [\n",
-            "    {\n",
-            "      \"index\": 0,\n",
-            "      \"message\": {\n",
-            "        \"role\": \"assistant\",\n",
-            "        \"content\": null,\n",
-            "        \"function_call\": {\n",
-            "          \"name\": \"get_current_weather\",\n",
-            "          \"arguments\": \"{\\n  \\\"location\\\": \\\"San Francisco, CA\\\"\\n}\"\n",
-            "        }\n",
-            "      },\n",
-            "      \"logprobs\": null,\n",
-            "      \"finish_reason\": \"stop\"\n",
-            "    }\n",
-            "  ],\n",
-            "  \"usage\": {\n",
-            "    \"prompt_tokens\": 83,\n",
-            "    \"completion_tokens\": 12,\n",
-            "    \"total_tokens\": 95\n",
-            "  },\n",
-            "  \"system_fingerprint\": null\n",
-            "}\n"
-          ]
-        }
-      ],
-      "source": [
-        "\n",
-        "messages = [\n",
-        "    {\n",
-        "        \"role\": \"user\",\n",
-        "        \"content\": \"hi!\",\n",
-        "    }\n",
-        "]\n",
-        "response = openai.ChatCompletion.create(\n",
-        "    model=\"gpt-3.5-turbo-0613\",\n",
-        "    messages=messages,\n",
-        "    functions=functions,\n",
-        "    function_call={\"name\": \"get_current_weather\"},\n",
-        ")\n",
-        "print(response)"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "65b85a74",
-      "metadata": {
-        "id": "65b85a74"
-      },
-      "source": [
-        "强制有关问题调用，结果和`auto`一样"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 26,
-      "id": "b6f955de",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "b6f955de",
-        "outputId": "b8134f2e-1746-4139-83f4-ac51327549cb"
-      },
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "{\n",
-            "  \"id\": \"chatcmpl-8nfzav6WbYIDLPHXYwaBXTM0byxaj\",\n",
-            "  \"object\": \"chat.completion\",\n",
-            "  \"created\": 1706850182,\n",
-            "  \"model\": \"gpt-3.5-turbo-0613\",\n",
-            "  \"choices\": [\n",
-            "    {\n",
-            "      \"index\": 0,\n",
-            "      \"message\": {\n",
-            "        \"role\": \"assistant\",\n",
-            "        \"content\": null,\n",
-            "        \"function_call\": {\n",
-            "          \"name\": \"get_current_weather\",\n",
-            "          \"arguments\": \"{\\n  \\\"location\\\": \\\"Boston, MA\\\"\\n}\"\n",
-            "        }\n",
-            "      },\n",
-            "      \"logprobs\": null,\n",
-            "      \"finish_reason\": \"stop\"\n",
-            "    }\n",
-            "  ],\n",
-            "  \"usage\": {\n",
-            "    \"prompt_tokens\": 89,\n",
-            "    \"completion_tokens\": 11,\n",
-            "    \"total_tokens\": 100\n",
-            "  },\n",
-            "  \"system_fingerprint\": null\n",
-            "}\n"
-          ]
-        }
-      ],
-      "source": [
-        "messages = [\n",
-        "    {\n",
-        "        \"role\": \"user\",\n",
-        "        \"content\": \"What's the weather like in Boston!\",\n",
-        "    }\n",
-        "]\n",
-        "response = openai.ChatCompletion.create(\n",
-        "    model=\"gpt-3.5-turbo-0613\",\n",
-        "    messages=messages,\n",
-        "    functions=functions,\n",
-        "    function_call={\"name\": \"get_current_weather\"},\n",
-        ")\n",
-        "print(response)"
-      ]
-    }
-  ],
-  "metadata": {
-    "colab": {
-      "provenance": []
-    },
-    "kernelspec": {
-      "display_name": "Python 3",
-      "language": "python",
-      "name": "python3"
-    },
-    "language_info": {
-      "codemirror_mode": {
-        "name": "ipython",
-        "version": 3
-      },
-      "file_extension": ".py",
-      "mimetype": "text/x-python",
-      "name": "python",
-      "nbconvert_exporter": "python",
-      "pygments_lexer": "ipython3",
-      "version": "3.9.13"
-    }
-  },
-  "nbformat": 4,
-  "nbformat_minor": 5
-}
diff --git "a/content/\351\200\211\344\277\256-Functions, Tools and Agents with LangChain/3. LangChain\350\241\250\350\276\276\345\274\217\350\257\255\350\250\200 LCEL.ipynb" "b/content/\351\200\211\344\277\256-Functions, Tools and Agents with LangChain/3. LangChain\350\241\250\350\276\276\345\274\217\350\257\255\350\250\200 LCEL.ipynb"
deleted file mode 100644
index 1832a8e5..00000000
--- "a/content/\351\200\211\344\277\256-Functions, Tools and Agents with LangChain/3. LangChain\350\241\250\350\276\276\345\274\217\350\257\255\350\250\200 LCEL.ipynb"	
+++ /dev/null
@@ -1,1984 +0,0 @@
-{
-  "cells": [
-    {
-      "cell_type": "markdown",
-      "id": "c5f7fce3",
-      "metadata": {
-        "id": "c5f7fce3"
-      },
-      "source": [
-        "# 第三章 LangChain 表达式语言 LangChain Expression Language\n",
-        "\n",
-        "在这一章我们会介绍 LangChain Expression Language（或称为 LCEL），被称之为 Langchain 的表达式语言。LCEL 是一种新的语法，是 LangChain 工具包的重要补充，他有许多优点，使得我们处理 LangChain 和代理更加简单方便。\n",
-        "\n",
-        "1. LCEL 提供了异步、批处理和流处理支持，这使得代码多功能化，并且代码可以快速在不同服务器中应用和运行。\n",
-        "    - 异步：程序可以同时执行多个任务，而不是按照顺序一个接一个地执行\n",
-        "    - 批处理：是一种将一组任务或数据作为一个批次进行处理的方法，而不是逐个处理\n",
-        "    - 流式处理：理是一种连续处理数据的方法，数据会持续不断地进入系统并被处理，流式处理能够在数据到达时立即进行处理，并且可以以持续且低延迟的方式处理数据。\n",
-        "\n",
-        "2. LCEL 拥有 fallbacks 措施，也叫回退安全机制，有时LLM得到的结果不可控，这时你可以将结果进行回退，甚至可以附加到整个链上\n",
-        "\n",
-        "3. LCEL 增加了 LLM 的并行性，LLM 运行通常是耗费时间的，并行可以加快得到结果的速度。\n",
-        "\n",
-        "4. LCEL 内置了日志记录，记录代理的运行情况。即使代理复杂，日志也有助于理解复杂链条和代理的运行情况。\n",
-        "\n",
-        "在前面的课程中，我们知道 LangChain 提供了组件 链（chain） 可以将组件组合起来发挥 LLM 更强大的功能，但是语法非常复杂。在这里，LCEL 提供了一种管道语法，使从基本组件构建复杂链变得容易，我们可以通过 LangChain 完成`Chain = prompt | LLM |OutputParser `的组合，具体使用我们将在下文内容中讨论。链（Chains）通常将大语言模型（LLM）与提示（Prompt）结合在一起，基于此，我们可以对文本或数据进行一系列操作。\n",
-        "\n",
-        "![image.png](../../figures/LCEL.png)\n",
-        "\n",
-        "- [一、简单链 Simple Chain](#一、简单链-Simple-Chain)\n",
-        "- [二、更复杂的链 More complex chain](#二、更复杂的链-More-complex-chain)\n",
-        "  - [1.1 构建简单向量数据库](#1.1-构建简单向量数据库)\n",
-        "  - [1.2 使用RunnableMap](#1.2-使用RunnableMap)\n",
-        "- [三、绑定 Bind](#三、绑定-Bind)\n",
-        "  - [3.1 单函数绑定](#3.1-单函数绑定)\n",
-        "  - [3.2 多个函数绑定](#3.2-多个函数绑定)\n",
-        "- [四、后备措施 Fallbacks](#四、后备措施-Fallbacks)\n",
-        "  - [4.1 使用早期模型格式化输出](#4.1-使用早期模型格式化输出)\n",
-        "  - [4.2 使用新模型格式化输出](#4.2-使用新模型格式化输出)\n",
-        "  - [4.3 fallbacks方法](#4.3-fallbacks方法)\n",
-        "- [五、接口 Interface](#五、接口-Interface)\n",
-        "  - [5.1 invoke接口](#5.1-invoke接口)\n",
-        "  - [5.2 batch接口](#5.2-batch接口)\n",
-        "  - [5.3 stream接口](#5.3-stream接口)\n",
-        "  - [5.4 异步接口](#5.4-异步接口)\n",
-        "- [六、英文版提示](#六、英文版提示)"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "b631e459",
-      "metadata": {},
-      "source": [
-        "## 一、简单链 Simple Chain\n",
-        "\n",
-        "接下来我们依旧会使用 OpenAI 的 API，所以首先我们要初始化我们的 API_Key，这个方法和上一章的方式是一样的。"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "id": "cacb572a",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "cacb572a",
-        "outputId": "1acef39b-494e-445e-bde0-2e8f83a2a84c"
-      },
-      "outputs": [],
-      "source": [
-        "# !pip install langchain\n",
-        "# !pip install openai==0.28\n",
-        "# !pip install \"langchain[docarray]\"\n",
-        "# !pip install tiktoken"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 1,
-      "id": "c52952e6",
-      "metadata": {
-        "id": "c52952e6"
-      },
-      "outputs": [],
-      "source": [
-        "import os\n",
-        "import openai\n",
-        "\n",
-        "os.environ['OPENAI_API_KEY'] = \"YOUR_API_KEY\"\n",
-        "openai.api_key = os.environ['OPENAI_API_KEY']"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "0a7f48e9",
-      "metadata": {
-        "id": "0a7f48e9"
-      },
-      "source": [
-        "接下来首先导入 LangChain 的库，并且定义一个简单的链，这个链包括提示模板，大语言模型和一个输出解析器。我们可以看到，成功输出了大语言模型的结果，完成了一个简单的链。"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 2,
-      "id": "81ac70fe",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 91
-        },
-        "id": "81ac70fe",
-        "outputId": "00302a8a-42eb-4eaa-ff0f-8540245932cd"
-      },
-      "outputs": [
-        {
-          "name": "stderr",
-          "output_type": "stream",
-          "text": [
-            "/usr/local/lib/python3.10/dist-packages/langchain_core/_api/deprecation.py:117: LangChainDeprecationWarning: The class `langchain_community.chat_models.openai.ChatOpenAI` was deprecated in langchain-community 0.0.10 and will be removed in 0.2.0. An updated version of the class exists in the langchain-openai package and should be used instead. To use it run `pip install -U langchain-openai` and import as `from langchain_openai import ChatOpenAI`.\n",
-            "  warn_deprecated(\n"
-          ]
-        },
-        {
-          "data": {
-            "application/vnd.google.colaboratory.intrinsic+json": {
-              "type": "string"
-            },
-            "text/plain": [
-              "'为什么熊不喜欢玩扑克牌？因为他总是把两个熊掌都露出来！'"
-            ]
-          },
-          "execution_count": 2,
-          "metadata": {},
-          "output_type": "execute_result"
-        }
-      ],
-      "source": [
-        "# 导入LangChain所需的模块\n",
-        "from langchain.prompts import ChatPromptTemplate\n",
-        "from langchain.chat_models import ChatOpenAI\n",
-        "from langchain.schema.output_parser import StrOutputParser\n",
-        "\n",
-        "# 使用 ChatPromptTemplate 从模板创建一个提示，模板中的 {topic} 将在后续代码中替换为实际的话题\n",
-        "prompt = ChatPromptTemplate.from_template(\n",
-        "    \"告诉我一个关于{topic}的短笑话\"\n",
-        ")\n",
-        "\n",
-        "# 创建一个 ChatOpenAI 模型实例，默认使用 gpt-3.5-turbo 模型\n",
-        "model = ChatOpenAI()\n",
-        "\n",
-        "# 创建一个StrOutputParser实例，用于解析输出\n",
-        "output_parser = StrOutputParser()\n",
-        "\n",
-        "# 创建一个链式调用，将 prompt、model 和output_parser 连接在一起\n",
-        "chain = prompt | model | output_parser\n",
-        "\n",
-        "# 调用链式调用，并传入参数\n",
-        "chain.invoke({\"topic\": \"熊\"})"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "7563f727",
-      "metadata": {
-        "id": "7563f727"
-      },
-      "source": [
-        "如果我们去查看`Chain`的输出，我们会发现，他跟我们定义的是一样的，一共有三部分进行组成，也就是`Chain = prompt | LLM |OutputParser `。`|`符号类似于 unix 管道操作符，它将不同的组件链接在一起，将一个组件的输出作为输入提供给下一个组件。在这个链中，用户输入被传递给提示模板，然后提示模板输出被传递给模型，然后模型输出被传递到输出解析器。"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 3,
-      "id": "a351d14a",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "a351d14a",
-        "outputId": "e9a7f195-fdfb-4523-eb34-a708ce0e0b24"
-      },
-      "outputs": [
-        {
-          "data": {
-            "text/plain": [
-              "ChatPromptTemplate(input_variables=['topic'], messages=[HumanMessagePromptTemplate(prompt=PromptTemplate(input_variables=['topic'], template='告诉我一个关于{topic}的短笑话'))])\n",
-              "| ChatOpenAI(client=<class 'openai.api_resources.chat_completion.ChatCompletion'>, openai_api_key='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', openai_proxy='')\n",
-              "| StrOutputParser()"
-            ]
-          },
-          "execution_count": 3,
-          "metadata": {},
-          "output_type": "execute_result"
-        }
-      ],
-      "source": [
-        "# 查看Chain的值\n",
-        "chain"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "35f8c80e",
-      "metadata": {
-        "id": "35f8c80e"
-      },
-      "source": [
-        "## 二、更复杂的链 More complex chain\n",
-        "\n",
-        "接下来，我们会创建一个更复杂的链条，在之前的课程中，我们接触过如何进行检索增强生成。所以接下来我们使用 LCEL 来重复之前的过程，将用户的问题和向量数据库检索结果结合起来，使用 RunnableMap 来构建一个更复杂的链。\n",
-        "\n",
-        "### 2.1 构建简单向量数据库\n",
-        "首先我们构建一个向量数据库，这个简单的向量数据库只包含两句话，使用 OpenAI 的 Embedding 作为嵌入模型，然后我们通过 `vector store.as_retriever `来创建一个检索器。"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 6,
-      "id": "308eab74",
-      "metadata": {
-        "id": "308eab74"
-      },
-      "outputs": [],
-      "source": [
-        "from langchain.embeddings import OpenAIEmbeddings\n",
-        "from langchain.vectorstores import DocArrayInMemorySearch\n",
-        "\n",
-        "# 创建一个DocArrayInMemorySearch对象，用于存储和搜索文档向量\n",
-        "vectorstore = DocArrayInMemorySearch.from_texts(\n",
-        "    [\"哈里森在肯肖工作\", \"熊喜欢吃蜂蜜\"],\n",
-        "    embedding=OpenAIEmbeddings() # 使用OpenAI的Embedding\n",
-        ")\n",
-        "\n",
-        "# 创建一个检索器\n",
-        "retriever = vectorstore.as_retriever()"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "768c1f68",
-      "metadata": {
-        "id": "768c1f68"
-      },
-      "source": [
-        "通过之前的学习，如果我们调用`retriever.get_relevant_documents`，我们会得到相关的检索文档，首先我们问“哈里森在哪里工作？”，我们会发现返回了一个文档列表，他会根据相似度排序返回文档列表，所以其中最相关的放在了第一个。"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 7,
-      "id": "f83e9118",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "f83e9118",
-        "outputId": "4b3e4b1f-c378-43ec-8a2e-4b6a6a0d88b0"
-      },
-      "outputs": [
-        {
-          "data": {
-            "text/plain": [
-              "[Document(page_content='哈里森在肯肖工作'), Document(page_content='熊喜欢吃蜂蜜')]"
-            ]
-          },
-          "execution_count": 7,
-          "metadata": {},
-          "output_type": "execute_result"
-        }
-      ],
-      "source": [
-        "# 获取与问题“哈里森在哪里工作？”相关的文档\n",
-        "retriever.get_relevant_documents(\"哈里森在哪里工作？\")"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "a4b5eacb",
-      "metadata": {
-        "id": "a4b5eacb"
-      },
-      "source": [
-        "如果我们换一个问题，比如\"熊喜欢吃什么\"，可以看到问题的顺序就发生了变化。"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 8,
-      "id": "7d76aaf5",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "7d76aaf5",
-        "outputId": "8e79e2d9-8572-44e0-edf7-70cd254e0252"
-      },
-      "outputs": [
-        {
-          "data": {
-            "text/plain": [
-              "[Document(page_content='熊喜欢吃蜂蜜'), Document(page_content='哈里森在肯肖工作')]"
-            ]
-          },
-          "execution_count": 8,
-          "metadata": {},
-          "output_type": "execute_result"
-        }
-      ],
-      "source": [
-        "# 获取与问题“熊喜欢吃什么”相关的文档\n",
-        "retriever.get_relevant_documents(\"熊喜欢吃什么\")"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "fb34293a",
-      "metadata": {
-        "id": "fb34293a"
-      },
-      "source": [
-        "### 3.2 使用RunnableMap\n",
-        "\n",
-        "上述例子返回两个结果是因为只有两个文档列表，这完全适用于更多文档情况。接下来我们会加入`RunnableMap`，在这个`RunnableMap`中，不仅仅有用户的问题，以及有对应的问题的文档列表，相当于这也为大模型的文档增加了上下文，这样就能完成检索增强的事情。如果我们正常问一个问题，可以看到，大模型正确的返回了文档里面的结果，得到了正确的输出。"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 10,
-      "id": "e8a9b652",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 35
-        },
-        "id": "e8a9b652",
-        "outputId": "d615b86a-a14b-4917-833f-e70c91730477"
-      },
-      "outputs": [
-        {
-          "data": {
-            "application/vnd.google.colaboratory.intrinsic+json": {
-              "type": "string"
-            },
-            "text/plain": [
-              "'肯肖'"
-            ]
-          },
-          "execution_count": 10,
-          "metadata": {},
-          "output_type": "execute_result"
-        }
-      ],
-      "source": [
-        "from langchain.schema.runnable import RunnableMap\n",
-        "\n",
-        "# 定义一个模板字符串template\n",
-        "template = \"\"\"仅根据以下上下文回答问题：\n",
-        "{context}\n",
-        "\n",
-        "问题：{question}\n",
-        "\"\"\"\n",
-        "\n",
-        "# 使用 template 作为模板\n",
-        "prompt = ChatPromptTemplate.from_template(template)\n",
-        "\n",
-        "# 创建一个处理链 chain ，包含了 RunnableMap、prompt、model 和 output_parser 组件\n",
-        "chain = RunnableMap({\n",
-        "    \"context\": lambda x: retriever.get_relevant_documents(x[\"question\"]),\n",
-        "    \"question\": lambda x: x[\"question\"]\n",
-        "}) | prompt | model | output_parser\n",
-        "\n",
-        "# 调用chain的invoke方法\n",
-        "chain.invoke({\"question\": \"哈里森在哪里工作?\"})"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "394af88e",
-      "metadata": {
-        "id": "394af88e"
-      },
-      "source": [
-        "如果我们想更深入挖掘一下背后的工作机理，我们可以看一下`RunnableMap`，我们把其创建为一个输入，用一样的方式进行操作。我们可以看到，在这之中，`RunnableMap`提供了`context`和`question`两个变量，一个是查询的文档列表，另一个是对应的问题，这个大模型就可以根据提供文档来总结回答对应的问题了。"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 11,
-      "id": "759d2af6",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "759d2af6",
-        "outputId": "fa16fa6c-dcb0-46e9-e538-428e711db372"
-      },
-      "outputs": [
-        {
-          "data": {
-            "text/plain": [
-              "{'context': [Document(page_content='哈里森在肯肖工作'),\n",
-              "  Document(page_content='熊喜欢吃蜂蜜')],\n",
-              " 'question': '哈里森在哪里工作?'}"
-            ]
-          },
-          "execution_count": 11,
-          "metadata": {},
-          "output_type": "execute_result"
-        }
-      ],
-      "source": [
-        "# 创建一个RunnableMap对象，其中包含两个键值对\n",
-        "# 键 \"context\" 对应一个lambda函数，用于获取相关文档，函数输入参数为x，即输入的字典，函数返回值为retriever.get_relevant_documents(x[\"question\"])\n",
-        "# 键 \"question\" 对应一个lambda函数，用于获取问题，函数输入参数为x，即输入的字典，函数返回值为x[\"question\"]\n",
-        "inputs = RunnableMap({\n",
-        "    \"context\": lambda x: retriever.get_relevant_documents(x[\"question\"]),\n",
-        "    \"question\": lambda x: x[\"question\"]\n",
-        "})\n",
-        "\n",
-        "# 调用 inputs 的 invoke 方法，并传递一个字典作为参数，字典中包含一个键值对，键为\"question\"，值为\"哈里森在哪里工作?\"\n",
-        "inputs.invoke({\"question\": \"哈里森在哪里工作?\"})"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "2c01b704",
-      "metadata": {
-        "id": "2c01b704"
-      },
-      "source": [
-        "## 三、绑定 Bind\n",
-        "\n",
-        "在上一章我们介绍了OpenAI函数的调用，新的`function`参数可以自动判断是否要使用工具函数，如果需要就会返回需要使用的参数。接下来我们也使用LangChain实现OpenAI函数调用的新功能，首先需要一个函数的描述信息，以及定义函数，这里的函数还是使用上一章的`get_current_weather`函数。"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 12,
-      "id": "1b00f651",
-      "metadata": {
-        "id": "1b00f651"
-      },
-      "outputs": [],
-      "source": [
-        "# 定义一个函数\n",
-        "functions = [\n",
-        "  {\n",
-        "    \"name\": \"get_current_weather\",\n",
-        "    \"description\": \"获取指定位置的当前天气情况\",\n",
-        "    \"parameters\": {\n",
-        "      \"type\": \"object\",\n",
-        "      \"properties\": {\n",
-        "        \"location\": {\n",
-        "          \"type\": \"string\",\n",
-        "          \"description\": \"城市和省份，例如：北京，北京市\",\n",
-        "        },\n",
-        "        \"unit\": {\"type\": \"string\", \"enum\": [\"摄氏度\", \"华氏度\"]},\n",
-        "      },\n",
-        "      \"required\": [\"location\"],\n",
-        "    },\n",
-        "  }\n",
-        "]"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "5d2ff71d",
-      "metadata": {
-        "id": "5d2ff71d"
-      },
-      "source": [
-        "### 3.1 单函数绑定\n",
-        "\n",
-        "接下来我们使用`bind`的方法把工具函数绑定到大模型上，并构建一个简单的链。进行调用以后，我们可以看到返回了一个`AIMessage`，\t其中返回的`content`为空，但是返回了我们需要调用工具函数的参数。"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 13,
-      "id": "2f693ff9",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "2f693ff9",
-        "outputId": "9ebdd754-906f-4178-a31a-899ed3c7d304"
-      },
-      "outputs": [
-        {
-          "data": {
-            "text/plain": [
-              "AIMessage(content='', additional_kwargs={'function_call': {'name': 'get_current_weather', 'arguments': '{\\n  \"location\": \"北京，北京市\"\\n}'}})"
-            ]
-          },
-          "execution_count": 13,
-          "metadata": {},
-          "output_type": "execute_result"
-        }
-      ],
-      "source": [
-        "# 使用ChatPromptTemplate.from_messages方法创建一个ChatPromptTemplate对象\n",
-        "prompt = ChatPromptTemplate.from_messages(\n",
-        "    [\n",
-        "        (\"human\", \"{input}\")\n",
-        "    ]\n",
-        ")\n",
-        "\n",
-        "# 使用bind方法绑定functions参数\n",
-        "model = ChatOpenAI(temperature=0).bind(functions=functions)\n",
-        "\n",
-        "runnable = prompt | model\n",
-        "\n",
-        "# 调用invoke方法\n",
-        "runnable.invoke({\"input\": \"北京天气怎么样？\"})"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "89a5fb09",
-      "metadata": {
-        "id": "89a5fb09"
-      },
-      "source": [
-        "### 3.2 多个函数绑定\n",
-        "\n",
-        "同时我们也可以定义多个`function`，大模型在对话的时候可以自动判断使用哪一个函数。这里面我们定义有两个函数，第一个函数是类似于前面的`weather_search`，搜索给定机场的天气，然后我们还定义了一个赛事体育新闻搜索的`sports_search`，查询天气的函数`weather_search`接受的参数为airport_code即机场代码，体育新闻搜索函数`sports_search`接受的参数为team_name即体育队名。由于这里我们不需要运行这些函数，因为大模型是通过问的问题来自动判断是否调用这些函数，并且返回参数，并不会直接帮我们调用。"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 14,
-      "id": "b95f4029",
-      "metadata": {
-        "id": "b95f4029"
-      },
-      "outputs": [],
-      "source": [
-        "functions = [\n",
-        "    {\n",
-        "        \"name\": \"weather_search\",\n",
-        "        \"description\": \"搜索给定机场代码的天气\",\n",
-        "        \"parameters\": {\n",
-        "            \"type\": \"object\",\n",
-        "            \"properties\": {\n",
-        "                \"airport_code\": {\n",
-        "                    \"type\": \"string\",\n",
-        "                    \"description\": \"要获取天气的机场代码\"\n",
-        "                },\n",
-        "            },\n",
-        "            \"required\": [\"airport_code\"]\n",
-        "        }\n",
-        "    },\n",
-        "    {\n",
-        "        \"name\": \"sports_search\",\n",
-        "        \"description\": \"搜索最近体育赛事的新闻\",\n",
-        "        \"parameters\": {\n",
-        "            \"type\": \"object\",\n",
-        "            \"properties\": {\n",
-        "                \"team_name\": {\n",
-        "                    \"type\": \"string\",\n",
-        "                    \"description\": \"要搜索的体育队名\"\n",
-        "                },\n",
-        "            },\n",
-        "            \"required\": [\"team_name\"]\n",
-        "        }\n",
-        "    }\n",
-        "]"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "d4a77d53",
-      "metadata": {
-        "id": "d4a77d53"
-      },
-      "source": [
-        "接着我们就可以使用函数绑定大模型，定义一个简单的链，我们可以看到，当我们问了相关的问题以后，大模型能够自动判断并且正确返回参数，知道需要调用函数了。"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 15,
-      "id": "519e761d",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "519e761d",
-        "outputId": "7ad43d65-bd62-4339-c8f8-e5c74a414dac"
-      },
-      "outputs": [
-        {
-          "data": {
-            "text/plain": [
-              "AIMessage(content='', additional_kwargs={'function_call': {'name': 'sports_search', 'arguments': '{\\n  \"team_name\": \"爱国者队\"\\n}'}})"
-            ]
-          },
-          "execution_count": 15,
-          "metadata": {},
-          "output_type": "execute_result"
-        }
-      ],
-      "source": [
-        "# 绑定大模型\n",
-        "model = model.bind(functions=functions)\n",
-        "runnable = prompt | model\n",
-        "\n",
-        "runnable.invoke({\"input\": \"爱国者队昨天表现的怎么样?\"})"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "0b988820",
-      "metadata": {
-        "id": "0b988820"
-      },
-      "source": [
-        "## 四、后备措施 Fallbacks\n",
-        "\n",
-        "在使用早期的OpenAI模型如\"text-davinci-001\"，这些模型在对话过程中，不支持格式化输出结果即它们都是以字符串的形式输出结果，这对我们有时候需要解析 LLM 的输出带来一些麻烦，比如下面这个例子，就是利用早期模型\"text-davinci-001\"来回答用户的问题，我们希望 llm 能以 json 格式输出结果。\n",
-        "\n",
-        "我们定义了 OpenAI 的模型以及创建了一个简单的链，以此加入 json 希望能以 json 格式输出结果，我们让 simple_model 写三首诗，并以 josn 格式输出，每首诗必须包含:`标题，作者和诗的第一句`。我们会发现结果只有字符串，无法输出指定格式的内容，虽然里面有一些`[`，但是本质上还是一个大的字符串，这就无法让我们解析输出。\n",
-        "\n",
-        "> 由于OpenAI于2024年1月4日停用了模型text-davinci-001，你将使用OpenAI推荐的替代模型gpt-3.5-turbo-instruct。\n",
-        "\n",
-        "在使用语言模型时，你可能经常会遇到来自底层 API 的问题，无论这些问题是速率限制还是停机时间。因此，当你将 LLM 应用程序转移到实际生产环境中时，防范这些问题变得越来越重要。这就是为什么我们引入了`回退（Fallbacks）`的概念。"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "127d93a1",
-      "metadata": {},
-      "source": [
-        "### 4.1 使用早期模型格式化输出"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 16,
-      "id": "11e2b2e2",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 180
-        },
-        "id": "11e2b2e2",
-        "outputId": "1294676f-7fbf-4185-ac16-49fa5d0512f5"
-      },
-      "outputs": [
-        {
-          "name": "stderr",
-          "output_type": "stream",
-          "text": [
-            "/usr/local/lib/python3.10/dist-packages/langchain_core/_api/deprecation.py:117: LangChainDeprecationWarning: The class `langchain_community.llms.openai.OpenAI` was deprecated in langchain-community 0.0.10 and will be removed in 0.2.0. An updated version of the class exists in the langchain-openai package and should be used instead. To use it run `pip install -U langchain-openai` and import as `from langchain_openai import OpenAI`.\n",
-            "  warn_deprecated(\n"
-          ]
-        },
-        {
-          "data": {
-            "application/vnd.google.colaboratory.intrinsic+json": {
-              "type": "string"
-            },
-            "text/plain": [
-              "'\\n\\n{\\n  \"title\": \"春风\",\\n  \"author\": \"李白\",\\n  \"first_line\": \"春风又绿江南岸\",\\n  \"content\": [\\n    \"春风又绿江南岸\",\\n    \"花开满树柳如丝\",\\n    \"鸟儿欢唱天地宽\",\\n    \"人间春色最宜人\"\\n  ]\\n}\\n\\n{\\n  \"title\": \"夜雨\",\\n  \"author\": \"杜甫\",\\n  \"first_line\": \"夜雨潇潇\",\\n  \"content\": [\\n    \"夜雨潇潇\",\\n    \"孤灯照旧\",\\n    \"思念如潮\",\\n    \"泛滥心头\"\\n  ]\\n}\\n\\n{\\n  \"title\": \"山行\",\\n  \"author\": \"王维\",\\n  \"first_line\": \"远上寒山石径斜\",\\n  \"content\": [\\n    \"远上寒山石径斜\",\\n    \"白云生处有人家\",\\n    \"停车坐爱枫林晚\",\\n    \"霜叶红于二月花\"\\n  ]\\n}'"
-            ]
-          },
-          "execution_count": 16,
-          "metadata": {},
-          "output_type": "execute_result"
-        }
-      ],
-      "source": [
-        "from langchain.llms import OpenAI\n",
-        "import json\n",
-        "\n",
-        "# 使用早期的OpenAI模型\n",
-        "simple_model = OpenAI(\n",
-        "    temperature=0,\n",
-        "    max_tokens=1000,\n",
-        "    model=\"gpt-3.5-turbo-instruct\"\n",
-        ")\n",
-        "simple_chain = simple_model | json.loads\n",
-        "\n",
-        "challenge = \"写三首诗，并以josn格式输出，每首诗必须包含:标题，作者和诗的第一句。\"\n",
-        "\n",
-        "simple_model.invoke(challenge)"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "6a22ae8e",
-      "metadata": {
-        "id": "6a22ae8e"
-      },
-      "source": [
-        "如果我们使用`simple_chain`来运行，我们就会发现出现了 json 解码错误的问题，因为返回的结果就是一个字符串，无法解析，所以下面代码就会报错。"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 17,
-      "id": "08ee6ba5",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 330
-        },
-        "id": "08ee6ba5",
-        "outputId": "2ef7f71f-4398-47ed-a8d8-bcaa75bd91d8"
-      },
-      "outputs": [
-        {
-          "ename": "JSONDecodeError",
-          "evalue": "Extra data: line 15 column 1 (char 147)",
-          "output_type": "error",
-          "traceback": [
-            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-            "\u001b[0;31mJSONDecodeError\u001b[0m                           Traceback (most recent call last)",
-            "\u001b[0;32m<ipython-input-17-7b2363c45b31>\u001b[0m in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0msimple_chain\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minvoke\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mchallenge\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/langchain_core/runnables/base.py\u001b[0m in \u001b[0;36minvoke\u001b[0;34m(self, input, config)\u001b[0m\n\u001b[1;32m   2051\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2052\u001b[0m             \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstep\u001b[0m \u001b[0;32min\u001b[0m \u001b[0menumerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msteps\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2053\u001b[0;31m                 input = step.invoke(\n\u001b[0m\u001b[1;32m   2054\u001b[0m                     \u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2055\u001b[0m                     \u001b[0;31m# mark each step as a child run\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/langchain_core/runnables/base.py\u001b[0m in \u001b[0;36minvoke\u001b[0;34m(self, input, config, **kwargs)\u001b[0m\n\u001b[1;32m   3505\u001b[0m         \u001b[0;34m\"\"\"Invoke this runnable synchronously.\"\"\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3506\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mhasattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"func\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3507\u001b[0;31m             return self._call_with_config(\n\u001b[0m\u001b[1;32m   3508\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_invoke\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3509\u001b[0m                 \u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/langchain_core/runnables/base.py\u001b[0m in \u001b[0;36m_call_with_config\u001b[0;34m(self, func, input, config, run_type, **kwargs)\u001b[0m\n\u001b[1;32m   1244\u001b[0m             output = cast(\n\u001b[1;32m   1245\u001b[0m                 \u001b[0mOutput\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1246\u001b[0;31m                 context.run(\n\u001b[0m\u001b[1;32m   1247\u001b[0m                     \u001b[0mcall_func_with_variable_args\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1248\u001b[0m                     \u001b[0mfunc\u001b[0m\u001b[0;34m,\u001b[0m  \u001b[0;31m# type: ignore[arg-type]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/langchain_core/runnables/config.py\u001b[0m in \u001b[0;36mcall_func_with_variable_args\u001b[0;34m(func, input, config, run_manager, **kwargs)\u001b[0m\n\u001b[1;32m    324\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mrun_manager\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0maccepts_run_manager\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfunc\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    325\u001b[0m         \u001b[0mkwargs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"run_manager\"\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mrun_manager\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 326\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m  \u001b[0;31m# type: ignore[call-arg]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    327\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    328\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/langchain_core/runnables/base.py\u001b[0m in \u001b[0;36m_invoke\u001b[0;34m(self, input, run_manager, config, **kwargs)\u001b[0m\n\u001b[1;32m   3381\u001b[0m                         \u001b[0moutput\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mchunk\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3382\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3383\u001b[0;31m             output = call_func_with_variable_args(\n\u001b[0m\u001b[1;32m   3384\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfunc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mconfig\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrun_manager\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3385\u001b[0m             )\n",
-            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/langchain_core/runnables/config.py\u001b[0m in \u001b[0;36mcall_func_with_variable_args\u001b[0;34m(func, input, config, run_manager, **kwargs)\u001b[0m\n\u001b[1;32m    324\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mrun_manager\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0maccepts_run_manager\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfunc\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    325\u001b[0m         \u001b[0mkwargs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"run_manager\"\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mrun_manager\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 326\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m  \u001b[0;31m# type: ignore[call-arg]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    327\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    328\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-            "\u001b[0;32m/usr/lib/python3.10/json/__init__.py\u001b[0m in \u001b[0;36mloads\u001b[0;34m(s, cls, object_hook, parse_float, parse_int, parse_constant, object_pairs_hook, **kw)\u001b[0m\n\u001b[1;32m    344\u001b[0m             \u001b[0mparse_int\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mparse_float\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;32mand\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    345\u001b[0m             parse_constant is None and object_pairs_hook is None and not kw):\n\u001b[0;32m--> 346\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0m_default_decoder\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdecode\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ms\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    347\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mcls\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    348\u001b[0m         \u001b[0mcls\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mJSONDecoder\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-            "\u001b[0;32m/usr/lib/python3.10/json/decoder.py\u001b[0m in \u001b[0;36mdecode\u001b[0;34m(self, s, _w)\u001b[0m\n\u001b[1;32m    338\u001b[0m         \u001b[0mend\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_w\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ms\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mend\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    339\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mend\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ms\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 340\u001b[0;31m             \u001b[0;32mraise\u001b[0m \u001b[0mJSONDecodeError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Extra data\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0ms\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mend\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    341\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mobj\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    342\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-            "\u001b[0;31mJSONDecodeError\u001b[0m: Extra data: line 15 column 1 (char 147)"
-          ]
-        }
-      ],
-      "source": [
-        "simple_chain.invoke(challenge)"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "1c534366",
-      "metadata": {
-        "id": "1c534366"
-      },
-      "source": [
-        "### 4.2 使用新模型格式化输出\n",
-        "\n",
-        "所以我们会发现早期版本的 OpenAI 模型不支持格式化的输出，所以即使使用 LangChain 并且加上了`json.load`但是还是会出现错误，但是如果我们使用新的`gpt-3.5-turbo`模型就不会出现这个问题。"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 18,
-      "id": "f0e34ed7",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "f0e34ed7",
-        "outputId": "f3ae66a2-b0c7-4557-8914-687ac20b2a08"
-      },
-      "outputs": [
-        {
-          "data": {
-            "text/plain": [
-              "{'poem1': {'title': '春风',\n",
-              "  'author': '李白',\n",
-              "  'first_line': '春风又绿江南岸。',\n",
-              "  'content': '春风又绿江南岸，明月何时照我还。'},\n",
-              " 'poem2': {'title': '静夜思',\n",
-              "  'author': '杜甫',\n",
-              "  'first_line': '床前明月光，',\n",
-              "  'content': '床前明月光，疑是地上霜。'},\n",
-              " 'poem3': {'title': '登鹳雀楼',\n",
-              "  'author': '王之涣',\n",
-              "  'first_line': '白日依山尽，',\n",
-              "  'content': '白日依山尽，黄河入海流。'}}"
-            ]
-          },
-          "execution_count": 18,
-          "metadata": {},
-          "output_type": "execute_result"
-        }
-      ],
-      "source": [
-        "# 默认使用新的模型\n",
-        "model = ChatOpenAI(temperature=0)\n",
-        "chain = model | StrOutputParser() | json.loads\n",
-        "\n",
-        "chain.invoke(challenge)"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "603a2605",
-      "metadata": {
-        "id": "603a2605"
-      },
-      "source": [
-        "### 4.3 fallbacks方法\n",
-        "\n",
-        "那这个时候可能就会思考，有没有什么方法，在不用改变太多代码的情况下，让早期的模型也能达到格式化输出的效果，而不是写复杂的格式化输出的代码去对结果进行操作。这时候我们就可以使用`fallbacks`的方式赋予早期模型这样格式化的能力，从结果我们也可以看出，我们成功使用`fallbacks`赋予了简单模型格式化的能力。"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 19,
-      "id": "7b1aede1",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "7b1aede1",
-        "outputId": "3823946c-a875-4807-9b0d-ba2910fe584d"
-      },
-      "outputs": [
-        {
-          "data": {
-            "text/plain": [
-              "{'poem1': {'title': '春风',\n",
-              "  'author': '李白',\n",
-              "  'first_line': '春风又绿江南岸。',\n",
-              "  'content': '春风又绿江南岸，明月何时照我还。'},\n",
-              " 'poem2': {'title': '静夜思',\n",
-              "  'author': '杜甫',\n",
-              "  'first_line': '床前明月光，',\n",
-              "  'content': '床前明月光，疑是地上霜。'},\n",
-              " 'poem3': {'title': '登鹳雀楼',\n",
-              "  'author': '王之涣',\n",
-              "  'first_line': '白日依山尽，',\n",
-              "  'content': '白日依山尽，黄河入海流。'}}"
-            ]
-          },
-          "execution_count": 19,
-          "metadata": {},
-          "output_type": "execute_result"
-        }
-      ],
-      "source": [
-        "# 使用with_fallbacks机制\n",
-        "final_chain = simple_chain.with_fallbacks([chain])\n",
-        "\n",
-        "# 调用final_chain的invoke方法，并传递challenge参数\n",
-        "final_chain.invoke(challenge)"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "bb6f0aac",
-      "metadata": {},
-      "source": [
-        "### 4.4 fallbacks 是如何实现的？\n",
-        "\n",
-        "当我们调用 LLM 时，经常会出现由于底层 API 问题、速率问题或者网络问题等原因，导致不能成功运行 LLM 。在这种情况下，我们就可以使用回退这种方法来解决这个问题，具体来说，他是通过使用另一种 LLM 来代替原先的不可运行的 LLM 产生结果，请看下面例子："
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "id": "4dd3f251",
-      "metadata": {},
-      "outputs": [],
-      "source": [
-        "from langchain_core.chat_models.openai import ChatOpenAI\n",
-        "from langchain_core.chat_models.anthropic import ChatAnthropic\n",
-        "\n",
-        "model = ChatAnthropic().with_fallbacks([ChatOpenAI()])\n",
-        "model.invoke('hello')"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "1b8fb2aa",
-      "metadata": {},
-      "source": [
-        "在这种情况下，通常会优先使用 ChatAnthropic 进行回答，但是如果调用 ChatAnthropic 失败了，会回退到使用 ChatOpenAI 模型来生成响应。如果两种 LLM 都失败了，将会回退到一种硬编码响应。硬编码的默认响应用于处理异常情况或者在无法从外部资源获取所需信息时提供一个备用选项，例如 \"Looks like our LLM providers are down. Here's a nice 🦜️ emoji for you instead.\"（看起来我们的 LLM 提供商出了问题，那么，这里有一个可爱的 🦜️ 表情符号给你。）"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "438e1841",
-      "metadata": {},
-      "source": [
-        "如果你想了解更多关于 fallbacks 的内容，请参考[官方文档](https://python.langchain.com/docs/guides/fallbacks)"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "96e3229d",
-      "metadata": {
-        "id": "96e3229d"
-      },
-      "source": [
-        "## 五、接口 Interface\n",
-        "\n",
-        "在使用LangChain中，存在许多接口，其中公开的标准接口包括：\n",
-        "\n",
-        "- stream：流式返回输出内容\n",
-        "- invoke：输入调用chain\n",
-        "- batch：在输入列表中并行调用chain\n",
-        "\n",
-        "这些也有相应的异步方法：\n",
-        "\n",
-        "- astream：异步流式返回输出内容\n",
-        "- ainvoke：在输入上异步调用chain\n",
-        "- abatch：在输入列表中并行异步调用chain\n",
-        "\n",
-        "首先我们定义给一个简单提示模板，也就是\"给我讲一个关于{主题}的短笑话\"，然后定义了一个简单的链`Chain = prompt | LLM | OutputParser`。"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 20,
-      "id": "72e228da",
-      "metadata": {
-        "id": "72e228da"
-      },
-      "outputs": [],
-      "source": [
-        "# 创建一个ChatPromptTemplate对象，使用模板\"给我讲一个关于{topic}的短笑话\"\n",
-        "prompt = ChatPromptTemplate.from_template(\n",
-        "    \"给我讲一个关于{topic}的短笑话\"\n",
-        ")\n",
-        "\n",
-        "# 创建一个ChatOpenAI模型\n",
-        "model = ChatOpenAI()\n",
-        "\n",
-        "# 创建一个StrOutputParser对象\n",
-        "output_parser = StrOutputParser()\n",
-        "\n",
-        "# 创建一个chain，将prompt、model和output_parser连接起来\n",
-        "chain = prompt | model | output_parser"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "e8b02924",
-      "metadata": {
-        "id": "e8b02924"
-      },
-      "source": [
-        "### 5.1 invoke接口\n",
-        "\n",
-        "接下来我们分别使用对应的接口，比如我们首先使用常规的`invoke`的调用，这个也是前面展现的方法，我们得到了对应结果。"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 21,
-      "id": "e339d019",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 53
-        },
-        "id": "e339d019",
-        "outputId": "6893312f-8473-411f-d175-c351532e5646"
-      },
-      "outputs": [
-        {
-          "data": {
-            "application/vnd.google.colaboratory.intrinsic+json": {
-              "type": "string"
-            },
-            "text/plain": [
-              "'当熊在森林里遇到一只兔子时，他问：“兔子先生，你有没有问题？”兔子回答道：“当然，先生熊，我有一个问题。你怎么会拉这么长的尾巴？”熊听后笑了起来：“兔子先生，这不是尾巴，这是我的领带！”'"
-            ]
-          },
-          "execution_count": 21,
-          "metadata": {},
-          "output_type": "execute_result"
-        }
-      ],
-      "source": [
-        "chain.invoke({\"topic\": \"熊\"})"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "2520f449",
-      "metadata": {
-        "id": "2520f449"
-      },
-      "source": [
-        "### 5.2 batch接口\n",
-        "\n",
-        "我们再尝试使用`batch`的接口，我们会发现大模型可以返回两个问题的答案，我们会给chain一个输入的列表，列表中可以包含多个问题，最后返回多个问题的答案。"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 23,
-      "id": "d549ac8a",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "d549ac8a",
-        "outputId": "fbd34c84-26b2-4576-d7ce-aa73be98d755"
-      },
-      "outputs": [
-        {
-          "data": {
-            "text/plain": [
-              "['好的，这是一个关于熊的短笑话：\\n\\n有一天，一只熊走进了一家酒吧。他走到吧台前，对酒保说：“请给我一杯……蜂蜜啤酒。”\\n\\n酒保疑惑地看着熊，说：“对不起，我们这里没有蜂蜜啤酒。”\\n\\n熊有些失望地叹了口气，然后说：“好吧，那就给我来一杯……草莓酒吧。”\\n\\n酒保摇摇头，说：“抱歉，我们也没有草莓酒。”\\n\\n熊又叹了口气，然后说：“那请给我来一杯……蜜糖红酒吧。”\\n\\n酒保实在无法忍受了，他对熊说：“对不起，我们这里没有这些奇怪的酒，你是熊，你应该知道熊只能喝蜂蜜。”\\n\\n熊听后一愣，然后脸色一变，说：“原来你们这里没有蜂蜜啤酒，草莓酒和蜜糖红酒？那请给我来一杯……白开水吧。”',\n",
-              " '有一天，一只狐狸在森林里遇到了一只兔子。狐狸笑嘻嘻地对兔子说：“喂，兔子，我有一个好消息和一个坏消息，你想先听哪个？”兔子有些好奇地问：“那就先告诉我好消息吧。”狐狸眯起眼睛说：“好消息是，你的智商比我高。”兔子高兴地跳了起来：“太好了，那坏消息是什么？”狐狸一脸轻松地说：“坏消息是，你的智商还比不过胡萝卜。”']"
-            ]
-          },
-          "execution_count": 23,
-          "metadata": {},
-          "output_type": "execute_result"
-        }
-      ],
-      "source": [
-        "chain.batch([{\"topic\": \"熊\"}, {\"topic\": \"狐狸\"}])"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "307a41d2",
-      "metadata": {
-        "id": "307a41d2"
-      },
-      "source": [
-        "### 5.3 stream接口\n",
-        "\n",
-        "接下来我们在看看`stream`接口，也就是流式输出内容，这样的功能很有必要，有时候可以免去用户等待的烦恼，让用户看到一个一个词蹦出来而不是一个空的屏幕，这样会带来更好的用户体验。"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 24,
-      "id": "f934e46d",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "f934e46d",
-        "outputId": "872109e2-47cb-4da6-a439-eb010ed3530d"
-      },
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "\n",
-            "好\n",
-            "的\n",
-            "，\n",
-            "这\n",
-            "是\n",
-            "一个\n",
-            "关\n",
-            "于\n",
-            "熊\n",
-            "的\n",
-            "短\n",
-            "笑\n",
-            "话\n",
-            "：\n",
-            "\n",
-            "\n",
-            "有\n",
-            "一\n",
-            "天\n",
-            "，\n",
-            "一\n",
-            "只\n",
-            "小\n",
-            "熊\n",
-            "走\n",
-            "进\n",
-            "了\n",
-            "一\n",
-            "家\n",
-            "酒\n",
-            "吧\n",
-            "。\n",
-            "他\n",
-            "走\n",
-            "到\n",
-            "吧\n",
-            "台\n",
-            "前\n",
-            "，\n",
-            "对\n",
-            "酒\n",
-            "保\n",
-            "说\n",
-            "：“\n",
-            "酒\n",
-            "保\n",
-            "，\n",
-            "给\n",
-            "我\n",
-            "一\n",
-            "杯\n",
-            "牛\n",
-            "奶\n",
-            "。”\n",
-            "\n",
-            "\n",
-            "酒\n",
-            "保\n",
-            "惊\n",
-            "讶\n",
-            "地\n",
-            "问\n",
-            "道\n",
-            "：“\n",
-            "小\n",
-            "熊\n",
-            "，\n",
-            "你\n",
-            "怎\n",
-            "么\n",
-            "会\n",
-            "来\n",
-            "这\n",
-            "里\n",
-            "喝\n",
-            "牛\n",
-            "奶\n",
-            "？\n",
-            "”\n",
-            "\n",
-            "\n",
-            "小\n",
-            "熊\n",
-            "深\n",
-            "情\n",
-            "地\n",
-            "回\n",
-            "答\n",
-            "：“\n",
-            "因\n",
-            "为\n",
-            "我的\n",
-            "妈\n",
-            "妈\n",
-            "说\n",
-            "，\n",
-            "每\n",
-            "当\n",
-            "我\n",
-            "喝\n",
-            "酒\n",
-            "的\n",
-            "时\n",
-            "候\n",
-            "，\n",
-            "我\n",
-            "都\n",
-            "会\n",
-            "变\n",
-            "得\n",
-            "熊\n",
-            "样\n",
-            "！”\n",
-            "\n"
-          ]
-        }
-      ],
-      "source": [
-        "for t in chain.stream({\"topic\": \"熊\"}):\n",
-        "    print(t)"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "fda98771",
-      "metadata": {
-        "id": "fda98771"
-      },
-      "source": [
-        "### 5.4 异步接口\n",
-        "\n",
-        "我们还可以尝试异步来调用，使用`ainvoke`来调用。\n"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 25,
-      "id": "cd372fec",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 71
-        },
-        "id": "cd372fec",
-        "outputId": "1232ac0b-7900-493c-aec6-7b99abb928d8"
-      },
-      "outputs": [
-        {
-          "data": {
-            "application/vnd.google.colaboratory.intrinsic+json": {
-              "type": "string"
-            },
-            "text/plain": [
-              "'好的，以下是一个关于熊的短笑话：\\n\\n有一只熊走进了一家餐厅，他走到柜台前，对着服务员说：“我想要一杯咖啡和......嗯，一块...牛肉三明治。”\\n服务员疑惑地看着熊，然后问道：“对不起，先生，你是真的想要一块牛肉三明治吗？”\\n熊点了点头。\\n服务员又问：“那请问为什么你要来这里点餐呢？”\\n熊回答道：“因为我是个熊啊！”'"
-            ]
-          },
-          "execution_count": 25,
-          "metadata": {},
-          "output_type": "execute_result"
-        }
-      ],
-      "source": [
-        "response = await chain.ainvoke({\"topic\": \"熊\"})\n",
-        "response"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "926c23d0",
-      "metadata": {
-        "id": "926c23d0"
-      },
-      "source": [
-        "## 六、英文提示词"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "nf-C5Y-9TR2d",
-      "metadata": {
-        "id": "nf-C5Y-9TR2d"
-      },
-      "source": [
-        "**一、构建简单链**"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 26,
-      "id": "urymAcXkTOQ2",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 53
-        },
-        "id": "urymAcXkTOQ2",
-        "outputId": "97d1aee3-86a0-44cb-c534-6db4ffb6a11b"
-      },
-      "outputs": [
-        {
-          "data": {
-            "application/vnd.google.colaboratory.intrinsic+json": {
-              "type": "string"
-            },
-            "text/plain": [
-              "'Why did the bear bring a flashlight to the party?\\n\\nBecause he wanted to be the \"light\" of the bearbecue!'"
-            ]
-          },
-          "execution_count": 26,
-          "metadata": {},
-          "output_type": "execute_result"
-        }
-      ],
-      "source": [
-        "prompt = ChatPromptTemplate.from_template(\n",
-        "    \"tell me a short joke about {topic}\"\n",
-        ")\n",
-        "model = ChatOpenAI()\n",
-        "output_parser = StrOutputParser()\n",
-        "\n",
-        "chain = prompt | model | output_parser\n",
-        "\n",
-        "chain.invoke({\"topic\": \"bears\"})"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "e34b6bd6",
-      "metadata": {},
-      "source": [
-        "**2.1 构建简单文档数据库**"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 27,
-      "id": "J-IpScccTHtL",
-      "metadata": {
-        "id": "J-IpScccTHtL"
-      },
-      "outputs": [],
-      "source": [
-        "vectorstore = DocArrayInMemorySearch.from_texts(\n",
-        "    [\"harrison worked at kensho\", \"bears like to eat honey\"],\n",
-        "    embedding=OpenAIEmbeddings()\n",
-        ")\n",
-        "retriever = vectorstore.as_retriever()"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 28,
-      "id": "4nWE8nLjTJuT",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "4nWE8nLjTJuT",
-        "outputId": "65742853-5146-4a1c-fb0b-d1e456532b95"
-      },
-      "outputs": [
-        {
-          "data": {
-            "text/plain": [
-              "[Document(page_content='harrison worked at kensho'),\n",
-              " Document(page_content='bears like to eat honey')]"
-            ]
-          },
-          "execution_count": 28,
-          "metadata": {},
-          "output_type": "execute_result"
-        }
-      ],
-      "source": [
-        "retriever.get_relevant_documents(\"where did harrison work?\")"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 29,
-      "id": "hygSW50bTXzV",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "hygSW50bTXzV",
-        "outputId": "2f88f2d7-781d-41d0-c50e-fa18e0420c3d"
-      },
-      "outputs": [
-        {
-          "data": {
-            "text/plain": [
-              "[Document(page_content='bears like to eat honey'),\n",
-              " Document(page_content='harrison worked at kensho')]"
-            ]
-          },
-          "execution_count": 29,
-          "metadata": {},
-          "output_type": "execute_result"
-        }
-      ],
-      "source": [
-        "retriever.get_relevant_documents(\"what do bears like to eat\")"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 31,
-      "id": "-6iG51i5TZGJ",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 35
-        },
-        "id": "-6iG51i5TZGJ",
-        "outputId": "29de378b-2151-43fc-d2fc-f6a1b8d16896"
-      },
-      "outputs": [
-        {
-          "data": {
-            "application/vnd.google.colaboratory.intrinsic+json": {
-              "type": "string"
-            },
-            "text/plain": [
-              "'Harrison worked at Kensho.'"
-            ]
-          },
-          "execution_count": 31,
-          "metadata": {},
-          "output_type": "execute_result"
-        }
-      ],
-      "source": [
-        "template = \"\"\"Answer the question based only on the following context:\n",
-        "{context}\n",
-        "\n",
-        "Question: {question}\n",
-        "\"\"\"\n",
-        "prompt = ChatPromptTemplate.from_template(template)\n",
-        "\n",
-        "chain = RunnableMap({\n",
-        "    \"context\": lambda x: retriever.get_relevant_documents(x[\"question\"]),\n",
-        "    \"question\": lambda x: x[\"question\"]\n",
-        "}) | prompt | model | output_parser\n",
-        "\n",
-        "chain.invoke({\"question\": \"where did harrison work?\"})"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "aabda125",
-      "metadata": {},
-      "source": [
-        "**3.2 使用RunnableMap**"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 33,
-      "id": "JoLBmwfETg1L",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "JoLBmwfETg1L",
-        "outputId": "73127639-c19e-400c-e26e-8f68dfd93635"
-      },
-      "outputs": [
-        {
-          "data": {
-            "text/plain": [
-              "{'context': [Document(page_content='harrison worked at kensho'),\n",
-              "  Document(page_content='bears like to eat honey')],\n",
-              " 'question': 'where did harrison work?'}"
-            ]
-          },
-          "execution_count": 33,
-          "metadata": {},
-          "output_type": "execute_result"
-        }
-      ],
-      "source": [
-        "inputs = RunnableMap({\n",
-        "    \"context\": lambda x: retriever.get_relevant_documents(x[\"question\"]),\n",
-        "    \"question\": lambda x: x[\"question\"]\n",
-        "})\n",
-        "\n",
-        "inputs.invoke({\"question\": \"where did harrison work?\"})"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "HqjgfGT8Tj2Z",
-      "metadata": {
-        "id": "HqjgfGT8Tj2Z"
-      },
-      "source": [
-        "**3.1 单函数绑定**"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 34,
-      "id": "_XZPKC1_Th6S",
-      "metadata": {
-        "id": "_XZPKC1_Th6S"
-      },
-      "outputs": [],
-      "source": [
-        "functions = [\n",
-        "    {\n",
-        "      \"name\": \"weather_search\",\n",
-        "      \"description\": \"Search for weather given an airport code\",\n",
-        "      \"parameters\": {\n",
-        "        \"type\": \"object\",\n",
-        "        \"properties\": {\n",
-        "          \"airport_code\": {\n",
-        "            \"type\": \"string\",\n",
-        "            \"description\": \"The airport code to get the weather for\"\n",
-        "          },\n",
-        "        },\n",
-        "        \"required\": [\"airport_code\"]\n",
-        "      }\n",
-        "    }\n",
-        "  ]"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 35,
-      "id": "0UPE0nWDTm3T",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "0UPE0nWDTm3T",
-        "outputId": "a4762623-c42f-4950-a21e-da73f7efe0c9"
-      },
-      "outputs": [
-        {
-          "data": {
-            "text/plain": [
-              "AIMessage(content='', additional_kwargs={'function_call': {'name': 'weather_search', 'arguments': '{\\n  \"airport_code\": \"SFO\"\\n}'}})"
-            ]
-          },
-          "execution_count": 35,
-          "metadata": {},
-          "output_type": "execute_result"
-        }
-      ],
-      "source": [
-        "prompt = ChatPromptTemplate.from_messages(\n",
-        "    [\n",
-        "        (\"human\", \"{input}\")\n",
-        "    ]\n",
-        ")\n",
-        "model = ChatOpenAI(temperature=0).bind(functions=functions)\n",
-        "\n",
-        "runnable = prompt | model\n",
-        "\n",
-        "runnable.invoke({\"input\": \"what is the weather in sf\"})"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "bc6a3fd8",
-      "metadata": {},
-      "source": [
-        "**3.2 多个函数绑定**"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 36,
-      "id": "U2R9nKncTpy6",
-      "metadata": {
-        "id": "U2R9nKncTpy6"
-      },
-      "outputs": [],
-      "source": [
-        "functions = [\n",
-        "    {\n",
-        "      \"name\": \"weather_search\",\n",
-        "      \"description\": \"Search for weather given an airport code\",\n",
-        "      \"parameters\": {\n",
-        "        \"type\": \"object\",\n",
-        "        \"properties\": {\n",
-        "          \"airport_code\": {\n",
-        "            \"type\": \"string\",\n",
-        "            \"description\": \"The airport code to get the weather for\"\n",
-        "          },\n",
-        "        },\n",
-        "        \"required\": [\"airport_code\"]\n",
-        "      }\n",
-        "    },\n",
-        "        {\n",
-        "      \"name\": \"sports_search\",\n",
-        "      \"description\": \"Search for news of recent sport events\",\n",
-        "      \"parameters\": {\n",
-        "        \"type\": \"object\",\n",
-        "        \"properties\": {\n",
-        "          \"team_name\": {\n",
-        "            \"type\": \"string\",\n",
-        "            \"description\": \"The sports team to search for\"\n",
-        "          },\n",
-        "        },\n",
-        "        \"required\": [\"team_name\"]\n",
-        "      }\n",
-        "    }\n",
-        "  ]"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 37,
-      "id": "i9yES-wwTrYO",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "i9yES-wwTrYO",
-        "outputId": "c4e1ae94-d087-454b-a8c1-7fab9df2b790"
-      },
-      "outputs": [
-        {
-          "data": {
-            "text/plain": [
-              "AIMessage(content='', additional_kwargs={'function_call': {'name': 'sports_search', 'arguments': '{\\n  \"team_name\": \"patriots\"\\n}'}})"
-            ]
-          },
-          "execution_count": 37,
-          "metadata": {},
-          "output_type": "execute_result"
-        }
-      ],
-      "source": [
-        "model = model.bind(functions=functions)\n",
-        "\n",
-        "runnable = prompt | model\n",
-        "\n",
-        "runnable.invoke({\"input\": \"how did the patriots do yesterday?\"})"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "300a9405",
-      "metadata": {},
-      "source": [
-        "**4.1 使用早期模型格式化输出**"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 38,
-      "id": "4lECkukwT4ua",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 107
-        },
-        "id": "4lECkukwT4ua",
-        "outputId": "88c67d19-6d26-406a-9d26-08827794dc4e"
-      },
-      "outputs": [
-        {
-          "data": {
-            "application/vnd.google.colaboratory.intrinsic+json": {
-              "type": "string"
-            },
-            "text/plain": [
-              "'\\n\\n{\\n    \"title\": \"Autumn Leaves\",\\n    \"author\": \"Emily Dickinson\",\\n    \"first_line\": \"The leaves are falling, one by one\"\\n}\\n\\n{\\n    \"title\": \"The Ocean\\'s Song\",\\n    \"author\": \"Pablo Neruda\",\\n    \"first_line\": \"I hear the ocean\\'s song, a symphony of waves\"\\n}\\n\\n{\\n    \"title\": \"A Winter\\'s Night\",\\n    \"author\": \"Robert Frost\",\\n    \"first_line\": \"The snow falls softly, covering the ground\"\\n}'"
-            ]
-          },
-          "execution_count": 38,
-          "metadata": {},
-          "output_type": "execute_result"
-        }
-      ],
-      "source": [
-        "simple_model = OpenAI(\n",
-        "    temperature=0,\n",
-        "    max_tokens=1000,\n",
-        "    model=\"gpt-3.5-turbo-instruct\"\n",
-        ")\n",
-        "simple_chain = simple_model | json.loads\n",
-        "\n",
-        "challenge = \"write three poems in a json blob, where each poem is a json blob of a title, author, and first line\"\n",
-        "\n",
-        "simple_model.invoke(challenge)"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "35c60800",
-      "metadata": {},
-      "source": [
-        "**早期模型不支持，会出现解码错误**"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 39,
-      "id": "aX0oo-25T9hE",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 330
-        },
-        "id": "aX0oo-25T9hE",
-        "outputId": "8425f5f7-5891-4448-d67d-be89208e05a9"
-      },
-      "outputs": [
-        {
-          "ename": "JSONDecodeError",
-          "evalue": "Extra data: line 9 column 1 (char 125)",
-          "output_type": "error",
-          "traceback": [
-            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-            "\u001b[0;31mJSONDecodeError\u001b[0m                           Traceback (most recent call last)",
-            "\u001b[0;32m<ipython-input-39-7b2363c45b31>\u001b[0m in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0msimple_chain\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minvoke\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mchallenge\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/langchain_core/runnables/base.py\u001b[0m in \u001b[0;36minvoke\u001b[0;34m(self, input, config)\u001b[0m\n\u001b[1;32m   2051\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2052\u001b[0m             \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstep\u001b[0m \u001b[0;32min\u001b[0m \u001b[0menumerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msteps\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2053\u001b[0;31m                 input = step.invoke(\n\u001b[0m\u001b[1;32m   2054\u001b[0m                     \u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2055\u001b[0m                     \u001b[0;31m# mark each step as a child run\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/langchain_core/runnables/base.py\u001b[0m in \u001b[0;36minvoke\u001b[0;34m(self, input, config, **kwargs)\u001b[0m\n\u001b[1;32m   3505\u001b[0m         \u001b[0;34m\"\"\"Invoke this runnable synchronously.\"\"\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3506\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mhasattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"func\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3507\u001b[0;31m             return self._call_with_config(\n\u001b[0m\u001b[1;32m   3508\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_invoke\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3509\u001b[0m                 \u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/langchain_core/runnables/base.py\u001b[0m in \u001b[0;36m_call_with_config\u001b[0;34m(self, func, input, config, run_type, **kwargs)\u001b[0m\n\u001b[1;32m   1244\u001b[0m             output = cast(\n\u001b[1;32m   1245\u001b[0m                 \u001b[0mOutput\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1246\u001b[0;31m                 context.run(\n\u001b[0m\u001b[1;32m   1247\u001b[0m                     \u001b[0mcall_func_with_variable_args\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1248\u001b[0m                     \u001b[0mfunc\u001b[0m\u001b[0;34m,\u001b[0m  \u001b[0;31m# type: ignore[arg-type]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/langchain_core/runnables/config.py\u001b[0m in \u001b[0;36mcall_func_with_variable_args\u001b[0;34m(func, input, config, run_manager, **kwargs)\u001b[0m\n\u001b[1;32m    324\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mrun_manager\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0maccepts_run_manager\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfunc\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    325\u001b[0m         \u001b[0mkwargs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"run_manager\"\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mrun_manager\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 326\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m  \u001b[0;31m# type: ignore[call-arg]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    327\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    328\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/langchain_core/runnables/base.py\u001b[0m in \u001b[0;36m_invoke\u001b[0;34m(self, input, run_manager, config, **kwargs)\u001b[0m\n\u001b[1;32m   3381\u001b[0m                         \u001b[0moutput\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mchunk\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3382\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3383\u001b[0;31m             output = call_func_with_variable_args(\n\u001b[0m\u001b[1;32m   3384\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfunc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mconfig\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrun_manager\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3385\u001b[0m             )\n",
-            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/langchain_core/runnables/config.py\u001b[0m in \u001b[0;36mcall_func_with_variable_args\u001b[0;34m(func, input, config, run_manager, **kwargs)\u001b[0m\n\u001b[1;32m    324\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mrun_manager\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0maccepts_run_manager\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfunc\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    325\u001b[0m         \u001b[0mkwargs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"run_manager\"\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mrun_manager\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 326\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m  \u001b[0;31m# type: ignore[call-arg]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    327\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    328\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-            "\u001b[0;32m/usr/lib/python3.10/json/__init__.py\u001b[0m in \u001b[0;36mloads\u001b[0;34m(s, cls, object_hook, parse_float, parse_int, parse_constant, object_pairs_hook, **kw)\u001b[0m\n\u001b[1;32m    344\u001b[0m             \u001b[0mparse_int\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mparse_float\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;32mand\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    345\u001b[0m             parse_constant is None and object_pairs_hook is None and not kw):\n\u001b[0;32m--> 346\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0m_default_decoder\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdecode\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ms\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    347\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mcls\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    348\u001b[0m         \u001b[0mcls\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mJSONDecoder\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-            "\u001b[0;32m/usr/lib/python3.10/json/decoder.py\u001b[0m in \u001b[0;36mdecode\u001b[0;34m(self, s, _w)\u001b[0m\n\u001b[1;32m    338\u001b[0m         \u001b[0mend\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_w\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ms\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mend\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    339\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mend\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ms\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 340\u001b[0;31m             \u001b[0;32mraise\u001b[0m \u001b[0mJSONDecodeError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Extra data\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0ms\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mend\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    341\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mobj\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    342\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-            "\u001b[0;31mJSONDecodeError\u001b[0m: Extra data: line 9 column 1 (char 125)"
-          ]
-        }
-      ],
-      "source": [
-        "simple_chain.invoke(challenge)"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "935a60b7",
-      "metadata": {},
-      "source": [
-        "**4.2 较新的模型能够格式化输出**"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 40,
-      "id": "oLFppvMMT-w7",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "oLFppvMMT-w7",
-        "outputId": "3fa0a0c1-3e9b-44ca-acaa-4b5fe5915c43"
-      },
-      "outputs": [
-        {
-          "data": {
-            "text/plain": [
-              "{'poem1': {'title': 'Whispers of the Wind',\n",
-              "  'author': 'Emily Rivers',\n",
-              "  'first_line': 'Softly it comes, the whisper of the wind'},\n",
-              " 'poem2': {'title': 'Silent Serenade',\n",
-              "  'author': 'Jacob Moore',\n",
-              "  'first_line': 'In the stillness of night, a silent serenade'},\n",
-              " 'poem3': {'title': 'Dancing Shadows',\n",
-              "  'author': 'Sophia Anderson',\n",
-              "  'first_line': 'Shadows dance upon the walls, a secret ballet'}}"
-            ]
-          },
-          "execution_count": 40,
-          "metadata": {},
-          "output_type": "execute_result"
-        }
-      ],
-      "source": [
-        "model = ChatOpenAI(temperature=0)\n",
-        "chain = model | StrOutputParser() | json.loads\n",
-        "\n",
-        "chain.invoke(challenge)"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "c76fe472",
-      "metadata": {},
-      "source": [
-        "**4.3 fallback机制**"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 41,
-      "id": "mWQ6qEwSUA0y",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "mWQ6qEwSUA0y",
-        "outputId": "1ca395fa-976f-4f5d-c0f4-f2bcbd0ba325"
-      },
-      "outputs": [
-        {
-          "data": {
-            "text/plain": [
-              "{'poem1': {'title': 'Whispers of the Wind',\n",
-              "  'author': 'Emily Rivers',\n",
-              "  'first_line': 'Softly it comes, the whisper of the wind'},\n",
-              " 'poem2': {'title': 'Silent Serenade',\n",
-              "  'author': 'Jacob Moore',\n",
-              "  'first_line': 'In the stillness of night, a silent serenade'},\n",
-              " 'poem3': {'title': 'Dancing Shadows',\n",
-              "  'author': 'Sophia Anderson',\n",
-              "  'first_line': 'Shadows dance upon the moonlit floor'}}"
-            ]
-          },
-          "execution_count": 41,
-          "metadata": {},
-          "output_type": "execute_result"
-        }
-      ],
-      "source": [
-        "final_chain = simple_chain.with_fallbacks([chain])\n",
-        "\n",
-        "final_chain.invoke(challenge)"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "7bd87734",
-      "metadata": {},
-      "source": [
-        "**五、接口**"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 42,
-      "id": "oenACTHsUFlm",
-      "metadata": {
-        "id": "oenACTHsUFlm"
-      },
-      "outputs": [],
-      "source": [
-        "prompt = ChatPromptTemplate.from_template(\n",
-        "    \"Tell me a short joke about {topic}\"\n",
-        ")\n",
-        "model = ChatOpenAI()\n",
-        "output_parser = StrOutputParser()\n",
-        "\n",
-        "chain = prompt | model | output_parser"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "a5feb063",
-      "metadata": {},
-      "source": [
-        "**5.1 invoke接口**"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 43,
-      "id": "uhpMBbexUHK2",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 35
-        },
-        "id": "uhpMBbexUHK2",
-        "outputId": "bd63b7f7-7d11-474e-bdd7-ad59a45323ff"
-      },
-      "outputs": [
-        {
-          "data": {
-            "application/vnd.google.colaboratory.intrinsic+json": {
-              "type": "string"
-            },
-            "text/plain": [
-              "\"Why don't bears wear shoes?\\n\\nBecause they have bear feet!\""
-            ]
-          },
-          "execution_count": 43,
-          "metadata": {},
-          "output_type": "execute_result"
-        }
-      ],
-      "source": [
-        "chain.invoke({\"topic\": \"bears\"})"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "3ae6e2de",
-      "metadata": {},
-      "source": [
-        "**5.2 batch接口**"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 44,
-      "id": "ptSp8UhQUILV",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "ptSp8UhQUILV",
-        "outputId": "b3125d7e-c35b-4ea3-999f-75543f36ac34"
-      },
-      "outputs": [
-        {
-          "name": "stderr",
-          "output_type": "stream",
-          "text": [
-            "WARNING:langchain_core.language_models.llms:Retrying langchain_community.chat_models.openai.ChatOpenAI.completion_with_retry.<locals>._completion_with_retry in 4.0 seconds as it raised RateLimitError: Rate limit reached for gpt-3.5-turbo in organization org-GXqDV5Kltm74g4hGPYEjLdb0 on requests per min (RPM): Limit 3, Used 3, Requested 1. Please try again in 20s. Visit https://platform.openai.com/account/rate-limits to learn more. You can increase your rate limit by adding a payment method to your account at https://platform.openai.com/account/billing..\n"
-          ]
-        },
-        {
-          "data": {
-            "text/plain": [
-              "[\"Why don't bears wear shoes?\\n\\nBecause they have bear feet!\",\n",
-              " 'Why did the frog take the bus to work?\\n\\nBecause his car got toad away!']"
-            ]
-          },
-          "execution_count": 44,
-          "metadata": {},
-          "output_type": "execute_result"
-        }
-      ],
-      "source": [
-        "chain.batch([{\"topic\": \"bears\"}, {\"topic\": \"frogs\"}])"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "826b9ed7",
-      "metadata": {},
-      "source": [
-        "**5.3 stream接口**"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 46,
-      "id": "Ehj9MzGPUI_I",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "Ehj9MzGPUI_I",
-        "outputId": "239b158c-6283-4892-d6f5-bcbe69329cee"
-      },
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "\n",
-            "Why\n",
-            " don\n",
-            "'t\n",
-            " bears\n",
-            " wear\n",
-            " shoes\n",
-            "?\n",
-            "\n",
-            "\n",
-            "Because\n",
-            " they\n",
-            " have\n",
-            " bear\n",
-            " feet\n",
-            "!\n",
-            "\n"
-          ]
-        }
-      ],
-      "source": [
-        "for t in chain.stream({\"topic\": \"bears\"}):\n",
-        "    print(t)"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "id": "c2858691",
-      "metadata": {},
-      "source": [
-        "**5.4 异步接口**"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 47,
-      "id": "xucFn07uUJ7Z",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 35
-        },
-        "id": "xucFn07uUJ7Z",
-        "outputId": "54545335-949b-463d-b8e2-41bb7c1076c1"
-      },
-      "outputs": [
-        {
-          "data": {
-            "application/vnd.google.colaboratory.intrinsic+json": {
-              "type": "string"
-            },
-            "text/plain": [
-              "\"Why don't bears wear shoes?\\n\\nBecause they have bear feet!\""
-            ]
-          },
-          "execution_count": 47,
-          "metadata": {},
-          "output_type": "execute_result"
-        }
-      ],
-      "source": [
-        "response = await chain.ainvoke({\"topic\": \"bears\"})\n",
-        "response"
-      ]
-    }
-  ],
-  "metadata": {
-    "colab": {
-      "provenance": []
-    },
-    "kernelspec": {
-      "display_name": "Python 3",
-      "name": "python3"
-    },
-    "language_info": {
-      "name": "python"
-    }
-  },
-  "nbformat": 4,
-  "nbformat_minor": 5
-}
diff --git "a/content/\351\200\211\344\277\256-Functions, Tools and Agents with LangChain/4. \345\234\250 LangChain \344\270\255\350\260\203\347\224\250 OpenAI Function Calling.ipynb" "b/content/\351\200\211\344\277\256-Functions, Tools and Agents with LangChain/4. \345\234\250 LangChain \344\270\255\350\260\203\347\224\250 OpenAI Function Calling.ipynb"
deleted file mode 100644
index af0a1730..00000000
--- "a/content/\351\200\211\344\277\256-Functions, Tools and Agents with LangChain/4. \345\234\250 LangChain \344\270\255\350\260\203\347\224\250 OpenAI Function Calling.ipynb"	
+++ /dev/null
@@ -1,931 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "46f5f5b2-f7f9-415f-8049-3e2f66d38195",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "# 第四章 在 LangChain 中调用 OpenAI Function Calling\n",
-    "\n",
-    " - [一、设置OpenAI API Key](#一、设置OpenAI-API-Key)\n",
-    " - [二、Pydantic语法](#二、Pydantic语法)\n",
-    "     - [2.1 简单创建Python类](#2.1-简单创建Python类)\n",
-    "     - [2.2 使用Pydantic创建类](#2.2-使用Pydantic创建类)\n",
-    " - [三、 基于Pydantic的OpenAI函数定义](#三、基于Pydantic的OpenAI函数定义)\n",
-    "     - [3.1 构造OpenAI的function](#3.1-构造OpenAI的function)\n",
-    "     - [3.2 通过langchain使用function](#3.2-通过langchain使用function)\n",
-    "     - [3.3 强制使用function](#3.3-强制使用function)\n",
-    " - [四、使用function](#四、使用function)\n",
-    "     - [4.1 链式使用](#3.1-链式使用)\n",
-    "     - [4.2 使用多个function](#4.2-使用多个function)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "1eb87015",
-   "metadata": {},
-   "source": [
-    "# 一、设置OpenAI-API-Key\n",
-    "\n",
-    "详细内容见`设置OpenAI_API_KEY.ipynb`文件"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "2ea4686a",
-   "metadata": {},
-   "source": [
-    "# 二、Pydantic语法"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "46645a3f",
-   "metadata": {},
-   "source": [
-    "Pydantic 是 python 的“数据验证库”。\n",
-    "- 与 python 类型注释一起工作。但是，与静态类型检查不同，它们在运行时被积极地用于数据验证和转换。\n",
-    "- 提供内置方法来序列化/反序列化模型到 JSON ，字典等。\n",
-    "- LangChain 利用 Pydantic 创建 JsONScheme 描述函数。"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "56cbff25",
-   "metadata": {},
-   "source": [
-    "## 2.1 简单创建Python类"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "188a17b3",
-   "metadata": {},
-   "source": [
-    "在标准python中，可以创建一个`User`类，拥有`name`、`age`、`email`三种属性值。直接进行创建，不能对字段类型进行约束，即年龄中可能传入不合规的字符串类型。"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "3ae8e977",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from typing import List\n",
-    "from pydantic import BaseModel, Field"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "d9447a47",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 创建User类\n",
-    "class User:\n",
-    "    def __init__(self, name: str, age: int, email: str):\n",
-    "        self.name = name\n",
-    "        self.age = age\n",
-    "        self.email = email"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "e765e2b5",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Joe\n"
-     ]
-    }
-   ],
-   "source": [
-    "# 生成user对象\n",
-    "foo = User(name=\"Joe\",age=32, email=\"joe@gmail.com\")\n",
-    "\n",
-    "# 输出foo中 name字段\n",
-    "print(foo.name)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "aa33be60",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "bar\n"
-     ]
-    }
-   ],
-   "source": [
-    "# 生成user对象\n",
-    "foo = User(name=\"Joe\",age=\"bar\", email=\"joe@gmail.com\")\n",
-    "\n",
-    "# 输出foo中 name字段\n",
-    "# name字段填写的是字符串类型，但能够创建成功并输出\n",
-    "print(foo.age)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "ccbfc8d5",
-   "metadata": {},
-   "source": [
-    "## 2.2 使用 Pydantic 创建类"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "80a59b93",
-   "metadata": {},
-   "source": [
-    "使用 Pydantic 创建类，可以对类的属性值进行格式约束。在创建类的时候会进行格式验证，如果格式不符合要求会报错。"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "49675d39",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 使用 Pydantic创建pUser类别，说明age使用int类型\n",
-    "class pUser(BaseModel):\n",
-    "    name: str\n",
-    "    age: int\n",
-    "    email: str"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "825b261e",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Jane\n"
-     ]
-    }
-   ],
-   "source": [
-    "# 生成user对象\n",
-    "foo_p = pUser(name=\"Jane\", age=32, email=\"jane@gmail.com\")\n",
-    "\n",
-    "# 输出foo中 name字段\n",
-    "print(foo_p.name)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "41a635f8",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "1 validation error for pUser\n",
-      "age\n",
-      "  value is not a valid integer (type=type_error.integer)\n"
-     ]
-    }
-   ],
-   "source": [
-    "# 使用了pydantic，由于age不是int，因此会报错。输出报错内容\n",
-    "try:\n",
-    "    foo_p = pUser(name=\"Jane\", age=\"bar\", email=\"jane@gmail.com\")\n",
-    "except Exception as e:\n",
-    "    print(e)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "1e7ec9aa",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class Class(BaseModel):\n",
-    "    students: List[pUser]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "3206e1fb",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Class(students=[pUser(name='Jane', age=32, email='jane@gmail.com')])"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "obj = Class(\n",
-    "    students=[pUser(name=\"Jane\", age=32, email=\"jane@gmail.com\")]\n",
-    ")\n",
-    "obj"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "f956e561",
-   "metadata": {},
-   "source": [
-    "# 三、基于Pydantic的OpenAI函数定义"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "06f67f9a",
-   "metadata": {},
-   "source": [
-    "## 3.1 构造 OpenAI 的 function"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "8765afc9",
-   "metadata": {},
-   "source": [
-    "我们创建了一个`WeatherSearch`类，它继承自 Pydantic 的 BaseModel 子类.因此`WeatherSearch`类的所有成员都被具备了数据类型校验机制，该类有一个str类型的成员`airport_code`表示机场代码，并有一个描述信息description，用来说明 airport_code 的作用，在 airport_code 的上方也有一段文本描述信息：输入机场代码，获取该机场的天气信息。这段文本信息是对类`WeatherSearch`的说明，意思是通过机场代码可以查询天气情况。\n",
-    "\n",
-    "同时，我们使用 langchain 将这个`WeatherSearch`类转换成openai的函数描述对象："
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "8886dc0b",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 定义WeatherSearch\n",
-    "# WeatherSearch的function需要写注释完成函数的description\n",
-    "class WeatherSearch(BaseModel):\n",
-    "    \"\"\"输入机场代码，获取该机场的天气信息\"\"\"\n",
-    "    airport_code: str = Field(description=\"输入机场代码查询天气\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "26e7e42f",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 导入langchain\n",
-    "from langchain.utils.openai_functions import convert_pydantic_to_openai_function"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "104b30c3",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'name': 'WeatherSearch',\n",
-       " 'description': '输入机场代码，获取该机场的天气信息',\n",
-       " 'parameters': {'title': 'WeatherSearch',\n",
-       "  'description': '输入机场代码，获取该机场的天气信息',\n",
-       "  'type': 'object',\n",
-       "  'properties': {'airport_code': {'title': 'Airport Code',\n",
-       "    'description': '输入机场代码查询天气',\n",
-       "    'type': 'string'}},\n",
-       "  'required': ['airport_code']}}"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# 转化为openai function calling模式\n",
-    "weather_function = convert_pydantic_to_openai_function(WeatherSearch)\n",
-    "weather_function"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "fbd9fa5c",
-   "metadata": {},
-   "source": [
-    "\n",
-    "\n",
-    "接下来，使用 langchain 的`convert_pydantic_to_openai_function`方法将 Pydantic 类转换成了 openai 的函数描述对象。需要的注意的是在定义Pydantic类时文本描述信息不可缺少，如缺少文本描述信息会导致转换时出错。\n",
-    "\n",
-    "- `WeatherSearch1`，由于我们没有在`WeatherSearch1`中加入对本身的描述信息，导致在转换时报错。\n",
-    "- `WeatherSearch2`加入对本身的描述信息，因此不会报错。"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "aa2584c8",
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "KeyError",
-     "evalue": "'description'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n",
-      "\u001b[0;31mKeyError\u001b[0m                                  Traceback (most recent call last)\n",
-      "Cell \u001b[0;32mIn[15], line 5\u001b[0m\n",
-      "\u001b[1;32m      2\u001b[0m \u001b[38;5;28;01mclass\u001b[39;00m \u001b[38;5;21;01mWeatherSearch1\u001b[39;00m(BaseModel):\n",
-      "\u001b[1;32m      3\u001b[0m     airport_code: \u001b[38;5;28mstr\u001b[39m \u001b[38;5;241m=\u001b[39m Field(description\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m输入机场代码查询天气\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
-      "\u001b[0;32m----> 5\u001b[0m convert_pydantic_to_openai_function(WeatherSearch1)\n",
-      "\n",
-      "File \u001b[0;32m~/anaconda3/lib/python3.11/site-packages/langchain/utils/openai_functions.py:28\u001b[0m, in \u001b[0;36mconvert_pydantic_to_openai_function\u001b[0;34m(model, name, description)\u001b[0m\n",
-      "\u001b[1;32m     24\u001b[0m schema \u001b[38;5;241m=\u001b[39m dereference_refs(model\u001b[38;5;241m.\u001b[39mschema())\n",
-      "\u001b[1;32m     25\u001b[0m schema\u001b[38;5;241m.\u001b[39mpop(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdefinitions\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m)\n",
-      "\u001b[1;32m     26\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m {\n",
-      "\u001b[1;32m     27\u001b[0m     \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mname\u001b[39m\u001b[38;5;124m\"\u001b[39m: name \u001b[38;5;129;01mor\u001b[39;00m schema[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtitle\u001b[39m\u001b[38;5;124m\"\u001b[39m],\n",
-      "\u001b[0;32m---> 28\u001b[0m     \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdescription\u001b[39m\u001b[38;5;124m\"\u001b[39m: description \u001b[38;5;129;01mor\u001b[39;00m schema[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdescription\u001b[39m\u001b[38;5;124m\"\u001b[39m],\n",
-      "\u001b[1;32m     29\u001b[0m     \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mparameters\u001b[39m\u001b[38;5;124m\"\u001b[39m: schema,\n",
-      "\u001b[1;32m     30\u001b[0m }\n",
-      "\n",
-      "\u001b[0;31mKeyError\u001b[0m: 'description'"
-     ]
-    }
-   ],
-   "source": [
-    "# WeatherSearch1没有写注释，会报错\n",
-    "class WeatherSearch1(BaseModel):\n",
-    "    airport_code: str = Field(description=\"输入机场代码查询天气\")\n",
-    "\n",
-    "convert_pydantic_to_openai_function(WeatherSearch1)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "92e371eb",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 构造WeatherSearch2，不对参数注释\n",
-    "class WeatherSearch2(BaseModel):\n",
-    "    \"\"\"输入机场代码，获取该机场的天气信息\"\"\"\n",
-    "    airport_code: str"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "b710902b",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'name': 'WeatherSearch2',\n",
-       " 'description': '输入机场代码，获取该机场的天气信息',\n",
-       " 'parameters': {'title': 'WeatherSearch2',\n",
-       "  'description': '输入机场代码，获取该机场的天气信息',\n",
-       "  'type': 'object',\n",
-       "  'properties': {'airport_code': {'title': 'Airport Code', 'type': 'string'}},\n",
-       "  'required': ['airport_code']}}"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "convert_pydantic_to_openai_function(WeatherSearch2)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "35ff3121",
-   "metadata": {},
-   "source": [
-    "## 3.2 通过langchain使用function"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "0792e86e",
-   "metadata": {},
-   "source": [
-    "为了实现 LLM 对 function 的调用，有一下两种方式\n",
-    "\n",
-    "- 在`invoke`中指定 functions\n",
-    "- 执行`invoke`之前使用`bind`方法来绑定函数描述对象"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "cea24c65",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 导入ChatOpenAI\n",
-    "from langchain.chat_models import ChatOpenAI"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "f8ed0850",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "model = ChatOpenAI()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "550029a0",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "AIMessage(content='', additional_kwargs={'function_call': {'name': 'WeatherSearch', 'arguments': '{\\n  \"airport_code\": \"SFO\"\\n}'}}, example=False)"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# 在invoke中使用openai function功能\n",
-    "model.invoke(\"今天旧金山的天气怎么样？\", functions=[weather_function])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "458e21ec",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "AIMessage(content='', additional_kwargs={'function_call': {'name': 'WeatherSearch', 'arguments': '{\\n  \"airport_code\": \"SFO\"\\n}'}}, example=False)"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# 直接在构造模型中声明functions，对话时不需要在声明\n",
-    "model_with_function = model.bind(functions=[weather_function])\n",
-    "model_with_function.invoke(\"今天旧金山的天气怎么样？\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "3c6f6aed",
-   "metadata": {},
-   "source": [
-    "## 3.3 强制使用function"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "9dfdcad6",
-   "metadata": {},
-   "source": [
-    "如果想要强制使用 function，需要在`bind`中增加`function_call`参数。"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "ddc08c4f",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 强制使用function，在模型构建时声明function_call\n",
-    "model_with_forced_function = model.bind(functions=[weather_function], function_call={\"name\":\"WeatherSearch\"})"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "11bb59da",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "AIMessage(content='', additional_kwargs={'function_call': {'name': 'WeatherSearch', 'arguments': '{\\n  \"airport_code\": \"SFO\"\\n}'}}, example=False)"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# 基于已经声明的function对话，能够调用function\n",
-    "model_with_forced_function.invoke(\"旧金山的天气怎么样？\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "fcce9a68",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "AIMessage(content='', additional_kwargs={'function_call': {'name': 'WeatherSearch', 'arguments': '{\\n  \"airport_code\": \"LAX\"\\n}'}}, example=False)"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# 输入hi，强制使用function的模型，即使prompt与函数description无关也会命中\n",
-    "model_with_forced_function.invoke(\"你好!\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "3f805a67",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "AIMessage(content='Hello! How can I assist you today?', additional_kwargs={}, example=False)"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# 输入hi，未强制使用function的模型，prompt与函数description无关不会命中\n",
-    "model_with_function.invoke(\"你好!\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "e8c131cf",
-   "metadata": {},
-   "source": [
-    "# 四、使用function"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "6002ec0d",
-   "metadata": {},
-   "source": [
-    "在一般情况下我们会使用 chain 来实现整个问答的流程，接下来我们通过创建 chain 来实现函数调用功能"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "43f0e6d4",
-   "metadata": {},
-   "source": [
-    "## 4.1 链式使用"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "3d7d7b66",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 引入需要的环境\n",
-    "from langchain.prompts import ChatPromptTemplate"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "17df129f",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 使用预定义模版创建聊天代码\n",
-    "prompt = ChatPromptTemplate.from_messages([\n",
-    "    (\"system\", \"你是一个乐于助人的助手\"),\n",
-    "    (\"user\", \"{input}\")\n",
-    "])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "c70e2192",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 使用prompt + model_with_function 组合\n",
-    "chain = prompt | model_with_function"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "9d5c71f9",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "AIMessage(content='', additional_kwargs={'function_call': {'name': 'WeatherSearch', 'arguments': '{\\n  \"airport_code\": \"SFO\"\\n}'}}, example=False)"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# 创建命中function的问答\n",
-    "chain.invoke({\"input\": \"今天旧金山的天气怎么样？\"})"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "a98e8dbd",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "AIMessage(content='Hello! How can I assist you today?', additional_kwargs={}, example=False)"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# 创建未命中function的问答\n",
-    "chain.invoke({\"input\": \"你好!\"})"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "19d7433a",
-   "metadata": {},
-   "source": [
-    "## 4.2 使用多个function"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "f1884ed9",
-   "metadata": {},
-   "source": [
-    "我们可以传递一组函数，让 LLM 根据问题上下文决定使用哪个函数。"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "f1cc30d8",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 创建 ArtistSearch function\n",
-    "class ArtistSearch(BaseModel):\n",
-    "    \"\"\"调用此命令可以获得特定艺术家的歌曲名称\"\"\"\n",
-    "    artist_name: str = Field(description=\"要查的艺术家的名字\")\n",
-    "    n: int = Field(description=\"number of results\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "be15a438",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 组装WeatherSearch和ArtistSearch 函数\n",
-    "functions = [\n",
-    "    convert_pydantic_to_openai_function(WeatherSearch),\n",
-    "    convert_pydantic_to_openai_function(ArtistSearch),\n",
-    "]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "747e93e4",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 将两个function放入模型\n",
-    "model_with_functions = model.bind(functions=functions)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "276e8a25",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "AIMessage(content='', additional_kwargs={'function_call': {'name': 'WeatherSearch', 'arguments': '{\\n  \"airport_code\": \"SFO\"\\n}'}}, example=False)"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# 命中 WeatherSearch function\n",
-    "model_with_functions.invoke(\"旧金山的天气怎么样？\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "fb1dcd0b",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "AIMessage(content='', additional_kwargs={'function_call': {'name': 'ArtistSearch', 'arguments': '{\\n  \"artist_name\": \"taylor swift\",\\n  \"n\": 3\\n}'}}, example=False)"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# 命中 ArtistSearch function\n",
-    "model_with_functions.invoke(\"找到泰勒·斯威夫特的三首歌？\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "06f9e5d0",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "AIMessage(content='Hello! How can I assist you today?', additional_kwargs={}, example=False)"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# 命中都未命中\n",
-    "model_with_functions.invoke(\"你好!\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "5fbd5418",
-   "metadata": {},
-   "source": [
-    "# 五、英文版提示"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "4acb9138",
-   "metadata": {},
-   "source": [
-    "**3.1 构造OpenAI的function**"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "2af21fad",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class WeatherSearch(BaseModel):\n",
-    "    \"\"\"Call this with an airport code to get the weather at that airport\"\"\"\n",
-    "    airport_code: str = Field(description=\"airport code to get weather for\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "75c13c9e",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class WeatherSearch1(BaseModel):\n",
-    "    airport_code: str = Field(description=\"airport code to get weather for\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "dd9a8ed3",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class WeatherSearch2(BaseModel):\n",
-    "    \"\"\"Call this with an airport code to get the weather at that airport\"\"\"\n",
-    "    airport_code: str"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "f54d4bd2",
-   "metadata": {},
-   "source": [
-    "**4.1 链式使用**"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "c2b91dd9",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "prompt = ChatPromptTemplate.from_messages([\n",
-    "    (\"system\", \"You are a helpful assistant\"),\n",
-    "    (\"user\", \"{input}\")\n",
-    "])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "259599c1",
-   "metadata": {},
-   "source": [
-    "**4.2 使用多个function**"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "cfe327f1",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class ArtistSearch(BaseModel):\n",
-    "    \"\"\"Call this to get the names of songs by a particular artist\"\"\"\n",
-    "    artist_name: str = Field(description=\"name of artist to look up\")\n",
-    "    n: int = Field(description=\"number of results\")"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.4"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git "a/content/\351\200\211\344\277\256-Functions, Tools and Agents with LangChain/5. \346\240\207\350\256\260\345\222\214\346\217\220\345\217\226 Tagging and Extraction.ipynb" "b/content/\351\200\211\344\277\256-Functions, Tools and Agents with LangChain/5. \346\240\207\350\256\260\345\222\214\346\217\220\345\217\226 Tagging and Extraction.ipynb"
deleted file mode 100644
index cea2bfb3..00000000
--- "a/content/\351\200\211\344\277\256-Functions, Tools and Agents with LangChain/5. \346\240\207\350\256\260\345\222\214\346\217\220\345\217\226 Tagging and Extraction.ipynb"	
+++ /dev/null
@@ -1,1394 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "190c69e4-1a17-46bf-a6ea-79760b4ef4ca",
-   "metadata": {},
-   "source": [
-    "# 标记和提取\n",
-    "\n",
-    " - [一、设置OpenAI API Key](#一、设置OpenAI-API-Key)\n",
-    " - [二、Tagging](#二、Tagging)\n",
-    "     - [2.1 创建Tagging函数](#2.1-创建Tagging函数)\n",
-    "     - [2.2 通过LangChain实现Tagging](#2.2-通过LangChain实现Tagging)\n",
-    "     - [2.3 结构化解析Tagging结果](#2.3-结构化解析Tagging结果)\n",
-    " - [三、 Extraction](#三、Extraction)\n",
-    "     - [3.1 创建Extraction函数](#3.1-创建Extraction函数)\n",
-    "     - [3.2 通过LangChain实现创建Extraction函数](#3.2-通过LangChain实现创建Extraction函数)\n",
-    "     - [3.3 结构化解析Extraction结果](#3.3-结构化解析Extraction结果)\n",
-    " - [四、应用案例](#四、应用案例)\n",
-    "     - [4.1 加载数据](#4.1-加载数据)\n",
-    "     - [4.2 提取文章概览](#4.2-提取文章概览)\n",
-    "     - [4.3 提取文章信息](#4.3-提取文章信息)\n",
-    "     - [4.4 分块文本提取](#4.4-分块文本提取)\n",
-    "         "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "ff54f3b7-ff99-453c-a5cd-e6fb47569a50",
-   "metadata": {},
-   "source": [
-    "# 一、设置OpenAI-API-Key\n",
-    "\n",
-    "详细内容见`设置OpenAI_API_KEY.ipynb`文件"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "cf894094-198d-429d-96da-f7092cd7c44e",
-   "metadata": {},
-   "source": [
-    "# 二、Tagging"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "22e2fb4b-3678-48e2-bd81-edb485dfee05",
-   "metadata": {},
-   "source": [
-    "`Tagging` 是什么：\n",
-    "- LLM 给出一个函数描述，从输入文本中选择参数生成一个结构化的输出，形成函数调用\n",
-    "- 更一般地说，LLM 可以评估输入文本并生成**结构化输出**"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "29d4ebb3",
-   "metadata": {},
-   "source": [
-    "## 2.1 创建Tagging函数"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "081ba8f1",
-   "metadata": {},
-   "source": [
-    "我们定义了一个`Tagging`，它继承自 Pydantic 的 BaseModel 类，因此`Tagging`类也具备了严格的数据类型校验功能。`Tagging`类包含了2给成员变量：`sentiment`和`language`：\n",
-    "- `sentiment`：用来判断用户信息的情感包括 pos(正面)，neg(负面)，neutral(中立)。\n",
-    "- `language`：用来判断用户使用的是哪国的语言，并且要符合 ISO 639-1 编码规范。"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "7a3d17cf",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 导入模块\n",
-    "from typing import List  \n",
-    "from pydantic import BaseModel, Field  \n",
-    "from langchain.utils.openai_functions import convert_pydantic_to_openai_function"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "108f2535",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 创建 Tagging 类\n",
-    "# 该类表是基于输入的文本来标记文本情感的 `pos`（正面）、`neg`（负面）或`neutral`（中立）\n",
-    "class Tagging(BaseModel):\n",
-    "    \"\"\"用特定信息标记这段文本。\"\"\"\n",
-    "    # 文本的情绪标签，可选值为`pos`（正面）、`neg`（负面）或`neutral`（中立）\n",
-    "    sentiment: str = Field(description=\"文本的情绪，请从“正面”、“负面”或“中立”中选择\")\n",
-    "    # 文本的语言标签，应为ISO 639-1标准代码\n",
-    "    language: str = Field(description=\"文本语言(应采用ISO 639-1代码)\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "74150c5a",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'name': 'Tagging',\n",
-       " 'description': '用特定信息标记这段文本。',\n",
-       " 'parameters': {'title': 'Tagging',\n",
-       "  'description': '用特定信息标记这段文本。',\n",
-       "  'type': 'object',\n",
-       "  'properties': {'sentiment': {'title': 'Sentiment',\n",
-       "    'description': '文本的情绪，请从“正面”、“负面”或“中立”中选择',\n",
-       "    'type': 'string'},\n",
-       "   'language': {'title': 'Language',\n",
-       "    'description': '文本语言(应采用ISO 639-1代码)',\n",
-       "    'type': 'string'}},\n",
-       "  'required': ['sentiment', 'language']}}"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# 将Tagging数据模型转换为OpenAI函数\n",
-    "convert_pydantic_to_openai_function(Tagging)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "d4440590",
-   "metadata": {},
-   "source": [
-    "## 2.2 通过LangChain实现Tagging"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "d245ef62",
-   "metadata": {},
-   "source": [
-    "接下来我们要将`Tagging`类转换成一个openai能识别的函数描述对象"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "0ab35dd5",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 导入模块\n",
-    "from langchain.prompts import ChatPromptTemplate \n",
-    "from langchain.chat_models import ChatOpenAI"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "b6795dfd",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 创建一个温度为0的ChatOpenAI模型实例\n",
-    "model = ChatOpenAI(temperature=0)  "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "c78f4938",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 应用 Tagging \n",
-    "tagging_functions = [convert_pydantic_to_openai_function(Tagging)]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "988d8550",
-   "metadata": {},
-   "source": [
-    "有了函数描述变量，我们使用`LCEL`语法来创建一个 chain。在这之前我们需要创建 prompt，model，并绑定函数描述变量最后创建 chain。"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "7a8ba9c2",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 使用ChatPromptTemplate的from_messages方法创建聊天提示模板\n",
-    "prompt = ChatPromptTemplate.from_messages([\n",
-    "    (\"system\", \"仔细思考，然后按指示标记文本\"),\n",
-    "    (\"user\", \"{input}\")\n",
-    "])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "5b3061eb",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 将模型与函数绑定，并指定函数调用的名称\n",
-    "model_with_functions = model.bind(\n",
-    "    functions=tagging_functions,\n",
-    "    function_call={\"name\": \"Tagging\"}\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "52bc969f",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 创建一个标签链，结合提示模板和模型\n",
-    "tagging_chain = prompt | model_with_functions"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "df8f070b",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "AIMessage(content='', additional_kwargs={'function_call': {'name': 'Tagging', 'arguments': '{\\n  \"sentiment\": \"正面\",\\n  \"language\": \"zh\"\\n}'}}, example=False)"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# 调用标签链并传入输入文本\n",
-    "tagging_chain.invoke({\"input\": \"我爱langchain\"})"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "67d3a755",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "AIMessage(content='', additional_kwargs={'function_call': {'name': 'Tagging', 'arguments': '{\\n  \"sentiment\": \"中立\",\\n  \"language\": \"zh\"\\n}'}}, example=False)"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# 再次调用标签链并传入另一个输入文本\n",
-    "tagging_chain.invoke({\"input\": \"我想要问的不是这些问题\"})"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "c4dcc4fd",
-   "metadata": {},
-   "source": [
-    "## 2.3 结构化解析Tagging结果"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "da30edaa",
-   "metadata": {},
-   "source": [
-    "以上输出 LLM 给出的 AIMessage 格式的结果，我们可以利用`LCEL`语法，在创建 chain 的时候附加一个 json 的输出解析器就可以解决这个问题。"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "cfa1f565",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 从langchain.output_parsers.openai_functions模块导入JsonOutputFunctionsParser\n",
-    "from langchain.output_parsers.openai_functions import JsonOutputFunctionsParser  "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "7da0d639",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 创建一个新的标签链，结合提示模板、模型和JsonOutputFunctionsParser解析器\n",
-    "tagging_chain = prompt | model_with_functions | JsonOutputFunctionsParser()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "bea84888",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'sentiment': '正面', 'language': 'zh'}"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# 调用标签链并传入输入文本\n",
-    "tagging_chain.invoke({\"input\": \"我爱langchain\"})"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "14a85c10",
-   "metadata": {},
-   "source": [
-    "# 三、Extraction"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "ba79dbfe",
-   "metadata": {},
-   "source": [
-    "Extraction 是什么：\n",
-    "- 提取（Extraction）类似于标记（Tagging），但用于提取多条信息。\n",
-    "- 当给定一个输入Json模式时，LLM已经进行了微调，以查找并填充该模式的参数。\n",
-    "- 该功能并不局限于function模式，可以用于一般用途的提取。"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "5c8b77f8",
-   "metadata": {},
-   "source": [
-    "## 3.1 创建Extraction函数"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "5c9ebd32",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 导入模块\n",
-    "from typing import Optional  \n",
-    "from pydantic import BaseModel, Field  "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "81783873",
-   "metadata": {},
-   "source": [
-    "定义了`Person`和`Information`两个类：\n",
-    "- `person`类包含了2个成员，name和age，其中age是可选的。\n",
-    "- `Information`类包含了一个people成员，它一个person的集合(List)。"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "6a9838da",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 创建Person类\n",
-    "class Person(BaseModel):\n",
-    "    \"\"\"个人信息\"\"\"\n",
-    "    name: str = Field(description=\"人的名字\")  # 人的名字\n",
-    "    age: Optional[int] = Field(description=\"人的年龄\")  # 人的年龄，可选字段"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "ba57cb12",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 创建Information类别\n",
-    "class Information(BaseModel):\n",
-    "    \"\"\"要提取的信息\"\"\"\n",
-    "    people: List[Person] = Field(description=\"关于人的信息列表\")  # 关于人的信息列表"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "9a5dd9a4",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'name': 'Information',\n",
-       " 'description': '要提取的信息',\n",
-       " 'parameters': {'title': 'Information',\n",
-       "  'description': '要提取的信息',\n",
-       "  'type': 'object',\n",
-       "  'properties': {'people': {'title': 'People',\n",
-       "    'description': '关于人的信息列表',\n",
-       "    'type': 'array',\n",
-       "    'items': {'title': 'Person',\n",
-       "     'description': '个人信息',\n",
-       "     'type': 'object',\n",
-       "     'properties': {'name': {'title': 'Name',\n",
-       "       'description': '人的名字',\n",
-       "       'type': 'string'},\n",
-       "      'age': {'title': 'Age', 'description': '人的年龄', 'type': 'integer'}},\n",
-       "     'required': ['name']}}},\n",
-       "  'required': ['people']}}"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# 将Information数据模型转换为OpenAI函数\n",
-    "convert_pydantic_to_openai_function(Information)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "f883a61b",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 创建提取功能列表，并将提取功能绑定到模型上\n",
-    "extraction_functions = [convert_pydantic_to_openai_function(Information)]  \n",
-    "extraction_model = model.bind(functions=extraction_functions, function_call={\"name\": \"Information\"})  "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "68313aad",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "AIMessage(content='', additional_kwargs={'function_call': {'name': 'Information', 'arguments': '{\\n  \"people\": [\\n    {\\n      \"name\": \"乔\",\\n      \"age\": 30\\n    },\\n    {\\n      \"name\": \"玛莎\",\\n      \"age\": 0\\n    }\\n  ]\\n}'}}, example=False)"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# 调用提取模型，传入文本信息\n",
-    "extraction_model.invoke(\"乔30岁，他妈妈叫玛莎\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "92d007db",
-   "metadata": {},
-   "source": [
-    "## 3.2 通过LangChain实现创建Extraction函数"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "252aa292",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 使用ChatPromptTemplate创建提示模板\n",
-    "prompt = ChatPromptTemplate.from_messages([\n",
-    "    (\"system\", \"提取相关信息，如果没有明确提供不要猜测。可以提取部分信息\"), \n",
-    "    (\"human\", \"{input}\")  \n",
-    "])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "e6e99c0a",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 创建提取链，结合提示模板和提取模型\n",
-    "extraction_chain = prompt | extraction_model"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "fbf3fa31",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "AIMessage(content='', additional_kwargs={'function_call': {'name': 'Information', 'arguments': '{\\n  \"people\": [\\n    {\\n      \"name\": \"乔\",\\n      \"age\": 30\\n    },\\n    {\\n      \"name\": \"玛莎\"\\n    }\\n  ]\\n}'}}, example=False)"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# 调用提取链并传入输入文本\n",
-    "extraction_chain.invoke({\"input\": \"乔30岁，他妈妈叫玛莎\"})"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "316f399c",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 创建新的提取链，加入JsonOutputFunctionsParser来解析输出\n",
-    "extraction_chain = prompt | extraction_model | JsonOutputFunctionsParser()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "cf1b986c",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'people': [{'name': '乔', 'age': 30}, {'name': '玛莎'}]}"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# 再次调用提取链\n",
-    "extraction_chain.invoke({\"input\": \"乔30岁，他妈妈叫玛莎\"})"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "ce8b57f8",
-   "metadata": {},
-   "source": [
-    "## 3.3 结构化解析Extraction结果"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "8d3e6de4",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 导入模块\n",
-    "from langchain.output_parsers.openai_functions import JsonKeyOutputFunctionsParser "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "d8eb37cd",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 创建提取链，指定关键字\"name\"来解析输出\n",
-    "extraction_chain = prompt | extraction_model | JsonKeyOutputFunctionsParser(key_name=\"people\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "a3fd2d8c",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[{'name': '乔', 'age': 30}, {'name': '玛莎'}]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# 调用提取链并传入输入文本\n",
-    "extraction_chain.invoke({\"input\": \"乔30岁，他妈妈叫玛莎\"})"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "20c15c6b",
-   "metadata": {},
-   "source": [
-    "# 四、应用案例"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "2dbc0bd6",
-   "metadata": {},
-   "source": [
-    "我们可以对更大的文本主体应用标记。例如，加载博客文章并从文本的子集中提取标记信息。"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "ebdb6951",
-   "metadata": {},
-   "source": [
-    "## 4.1 加载数据"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "d647ae05",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 使用WebBaseLoader加载文档\n",
-    "from langchain.document_loaders import WebBaseLoader  \n",
-    "loader = WebBaseLoader(\"https://lilianweng.github.io/posts/2023-06-23-agent/\") \n",
-    "documents = loader.load() "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "5c26230f",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 获取第一个文档\n",
-    "doc = documents[0]  "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "f977416a",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 获取页面内容的前10000个字符\n",
-    "page_content = doc.page_content[:10000]  "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "76a3c7f4",
-   "metadata": {},
-   "source": [
-    "## 4.2 提取文章概览"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "c7008c06",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 从pydantic导入BaseModel和Field用于创建数据模型\n",
-    "from pydantic import BaseModel, Field  "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "1010fc64",
-   "metadata": {},
-   "source": [
-    "定义一个Pydantic类`Overview`\n",
-    "- `summary`：表示对文章内容的总结\n",
-    "- `language`：表示文章所使用的语言\n",
-    "- `keyword`：表示文章中的关键词"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "226ed0ee",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 创建Overview类别\n",
-    "class Overview(BaseModel):\n",
-    "    \"\"\"一段文本的概述\"\"\"\n",
-    "    summary: str = Field(description=\"提供内容的简明总结。\")  # 内容摘要\n",
-    "    language: str = Field(description=\"提供编写内容所用的语言。\")  # 内容语言\n",
-    "    keywords: str = Field(description=\"提供与内容相关的关键字。\")  # 关键词"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "d9173caa",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 将Overview数据模型转换为OpenAI函数\n",
-    "overview_tagging_function = [\n",
-    "    convert_pydantic_to_openai_function(Overview)\n",
-    "]\n",
-    "tagging_model = model.bind(\n",
-    "    functions=overview_tagging_function,\n",
-    "    function_call={\"name\":\"Overview\"}  # 绑定函数调用\n",
-    ")\n",
-    "tagging_chain = prompt | tagging_model | JsonOutputFunctionsParser()  # 创建标注链并加入解析器"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "0ab4c06b",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'summary': 'LLM Powered Autonomous Agents is a concept of building agents with LLM (large language model) as its core controller. It involves several key components such as planning, memory, and tool use. The agent breaks down tasks into smaller subgoals, utilizes short-term and long-term memory, and learns to call external APIs for additional information. Self-reflection is also an important aspect for agents to improve iteratively. There are various techniques and frameworks, such as Chain of Thought, ReAct, Reflexion, and Chain of Hindsight, that enable agents to plan, reflect, and improve their performance.',\n",
-       " 'language': 'English',\n",
-       " 'keywords': 'LLM, autonomous agents, planning, memory, tool use, self-reflection, Chain of Thought, ReAct, Reflexion, Chain of Hindsight'}"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# 调用标注链\n",
-    "tagging_chain.invoke({\"input\": page_content})"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "d7d884b6",
-   "metadata": {},
-   "source": [
-    "## 4.3 提取文章信息"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "e9305294",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 创建Paper类，用于标题和作者\n",
-    "class Paper(BaseModel):\n",
-    "    \"\"\"提到的论文信息。\"\"\"\n",
-    "    title: str  # 论文标题\n",
-    "    author: Optional[str]  # 作者，可选字段\n",
-    "\n",
-    "# 创建Info，用户提取论文论文信息列表\n",
-    "class Info(BaseModel):\n",
-    "    \"\"\"要提取的信息\"\"\"\n",
-    "    papers: List[Paper] "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "07444034",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 将Info数据模型转换为OpenAI函数\n",
-    "paper_extraction_function = [\n",
-    "    convert_pydantic_to_openai_function(Info)\n",
-    "]\n",
-    "extraction_model = model.bind(\n",
-    "    functions=paper_extraction_function, \n",
-    "    function_call={\"name\":\"Info\"}  # 绑定函数调用\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "93b2adae",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 创建提取链并加入解析器\n",
-    "extraction_chain = prompt | extraction_model | JsonKeyOutputFunctionsParser(key_name=\"papers\") "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "e3151bcd",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[{'title': 'LLM Powered Autonomous Agents', 'author': 'Lilian Weng'}]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# 调用提取链，发现提取了论文本身的名称。因此接下里可以结合prompt改进\n",
-    "extraction_chain.invoke({\"input\": page_content})  "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "4ddd8d04",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "template = \"\"\"\n",
-    "A article will be passed to you. Extract from it all papers that are mentioned by this article. \n",
-    "Do not extract the name of the article itself. If no papers are mentioned that's fine - you don't need to extract any! Just return an empty list.\n",
-    "Do not make up or guess ANY extra information. Only extract what exactly is in the text.\n",
-    "\"\"\"\n",
-    "\n",
-    "template_chinese = \"\"\"\n",
-    "一篇文章将转交给你。把这篇文章中提到的所有论文都摘录出来。\n",
-    "不要提取文章本身的名称。如果没有提到论文，那很好——你不需要提取任何论文!只返回一个空列表。\n",
-    "不要编造或猜测任何额外的信息。只提取文本中的内容。\n",
-    "\"\"\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "04af6d1e",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 使用定制化提示模板创建聊天提示\n",
-    "prompt = ChatPromptTemplate.from_messages([\n",
-    "    (\"system\", template_chinese),\n",
-    "    (\"human\", \"{input}\")\n",
-    "])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "da5df8c9",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 重新创建提取链\n",
-    "extraction_chain = prompt | extraction_model | JsonKeyOutputFunctionsParser(key_name=\"papers\")  "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "75c7f9d8",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[{'title': 'Chain of thought (CoT; Wei et al. 2022)', 'author': ''},\n",
-       " {'title': 'Tree of Thoughts (Yao et al. 2023)', 'author': ''},\n",
-       " {'title': 'LLM+P (Liu et al. 2023)', 'author': ''},\n",
-       " {'title': 'ReAct (Yao et al. 2023)', 'author': ''},\n",
-       " {'title': 'Reflexion (Shinn & Labash 2023)', 'author': ''},\n",
-       " {'title': 'Chain of Hindsight (CoH; Liu et al. 2023)', 'author': ''},\n",
-       " {'title': 'Algorithm Distillation (AD; Laskin et al. 2023)', 'author': ''}]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# 再次调用提取链\n",
-    "extraction_chain.invoke({\"input\": page_content})  "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "a304665d",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# 使用不相关输入调用提取链，不会返回有效信息\n",
-    "extraction_chain.invoke({\"input\": \"hi\"})  "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "53459cd8",
-   "metadata": {},
-   "source": [
-    "## 4.4 分块文本提取"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "33f32ae3",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 导入模块\n",
-    "from langchain.text_splitter import RecursiveCharacterTextSplitter \n",
-    "\n",
-    "# 实例化文本分割器\n",
-    "text_splitter = RecursiveCharacterTextSplitter(chunk_overlap=0)  "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "7f0f8598",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "14"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# 分割文档内容，text_splitter可以将长文本切分成多个短文本\n",
-    "splits = text_splitter.split_text(doc.page_content)  \n",
-    "\n",
-    "# 获取分割后的段落数量\n",
-    "len(splits)  "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "4c57c44c",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 定义函数用于扁平化列表\n",
-    "def flatten(matrix):\n",
-    "    flat_list = []\n",
-    "    for row in matrix:\n",
-    "        flat_list += row\n",
-    "    return flat_list  "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "d51306c1",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[1, 2, 3, 4]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# 示例调用扁平化函数\n",
-    "flatten([[1, 2], [3, 4]])  "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "681b968b",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "lemented by several key components:\n",
-      "\n",
-      "Planning\n",
-      "\n",
-      "Subgoal and decomposition: The agent breaks down large tasks into smaller, manageable subgoals, enabling efficient handling of complex tasks.\n",
-      "Reflection and refinement: The agent can do self-criticism and self-reflection over past actions, learn from mistakes and refine them for future steps, thereby improving the quality of final results.\n",
-      "\n",
-      "\n",
-      "Memory\n",
-      "\n",
-      "Short-term memory: I would consider all the in-context learning (See Prompt Engineering) as utilizing short-term memory of the model to learn.\n",
-      "Long-term memory: This provides the agent with the capability to retain and recall (infinite) information over extended periods, often by leveraging an external vector store and fast retrieval.\n",
-      "\n",
-      "\n",
-      "Tool use\n",
-      "\n",
-      "The agent learns to call external APIs for extra information that is missing from the model weights (often hard to change after pre-training), including current information, code execution capability, access to proprietary information sources and more.\n"
-     ]
-    }
-   ],
-   "source": [
-    "# 打印第一个分割的文本块最后一千个字符\n",
-    "print(splits[0][-1000:])  "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "2c780252",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 导入模块\n",
-    "from langchain.schema.runnable import RunnableLambda  "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "158a7bb2",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 创建Lambda函数用于预处理文本\n",
-    "prep = RunnableLambda(\n",
-    "    lambda x: [{\"input\": doc} for doc in text_splitter.split_text(x)]  \n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "0a9706f5",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[{'input': 'hi'}]\n",
-      "1\n",
-      "14\n"
-     ]
-    }
-   ],
-   "source": [
-    "# 测试prep\n",
-    "print(prep.invoke(\"hi\"))\n",
-    "print(len(prep.invoke(\"hi\")))\n",
-    "\n",
-    "# 将长文本放入，会切分成多个短文本\n",
-    "print(len(prep.invoke(doc.page_content)))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "0b4bac5d",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 创建链式调用，包括预处理、映射提取\n",
-    "# 多个短文本分别使用extraction_chain进行提取，将结果的list通过flatten函数扁平化到一起\n",
-    "chain = prep | extraction_chain.map() | flatten  "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "b2e6e4f1",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[{'title': 'AutoGPT', 'author': ''},\n",
-       " {'title': 'GPT-Engineer', 'author': ''},\n",
-       " {'title': 'BabyAGI', 'author': ''},\n",
-       " {'title': 'Chain of thought (CoT; Wei et al. 2022)', 'author': ''},\n",
-       " {'title': 'Tree of Thoughts (Yao et al. 2023)', 'author': ''},\n",
-       " {'title': 'LLM+P (Liu et al. 2023)', 'author': ''},\n",
-       " {'title': 'ReAct (Yao et al. 2023)', 'author': ''},\n",
-       " {'title': 'Reflexion (Shinn & Labash 2023)', 'author': ''},\n",
-       " {'title': 'Reflexion: A Framework for Self-Reflection in Reinforcement Learning',\n",
-       "  'author': 'Shinn & Labash'},\n",
-       " {'title': 'Chain of Hindsight: Improving Reinforcement Learning with Sequential Feedback',\n",
-       "  'author': 'Liu et al.'},\n",
-       " {'title': 'Algorithm Distillation: Learning Process of Reinforcement Learning',\n",
-       "  'author': 'Laskin et al.'},\n",
-       " {'title': 'Algorithm Distillation', 'author': 'Laskin et al. 2023'},\n",
-       " {'title': 'ED (expert distillation)', 'author': ''},\n",
-       " {'title': 'RL^2', 'author': 'Duan et al. 2017'},\n",
-       " {'title': 'Maximum Inner Product Search (MIPS)', 'author': ''},\n",
-       " {'title': 'LSH (Locality-Sensitive Hashing)', 'author': ''},\n",
-       " {'title': 'ANNOY (Approximate Nearest Neighbors Oh Yeah)', 'author': ''},\n",
-       " {'title': 'HNSW (Hierarchical Navigable Small World)', 'author': ''},\n",
-       " {'title': 'FAISS (Facebook AI Similarity Search)', 'author': ''},\n",
-       " {'title': 'ScaNN (Scalable Nearest Neighbors)', 'author': ''},\n",
-       " {'title': 'MRKL: Modular Reasoning, Knowledge and Language',\n",
-       "  'author': 'Karpas et al. 2022'},\n",
-       " {'title': 'TALM: Tool Augmented Language Models',\n",
-       "  'author': 'Parisi et al. 2022'},\n",
-       " {'title': 'Toolformer', 'author': 'Schick et al. 2023'},\n",
-       " {'title': 'HuggingGPT', 'author': 'Shen et al. 2023'},\n",
-       " {'title': 'API-Bank: A Benchmark for Evaluating Tool-Augmented Language Models',\n",
-       "  'author': 'Li et al. 2023'},\n",
-       " {'title': 'ChemCrow: A Domain-Specific Example of Tool-Augmented Language Models',\n",
-       "  'author': 'Bran et al. 2023'},\n",
-       " {'title': 'LLM-based evaluation of GPT-4 and ChemCrow', 'author': 'Unknown'},\n",
-       " {'title': 'LLM-empowered agents for scientific discovery',\n",
-       "  'author': 'Boiko et al. (2023)'},\n",
-       " {'title': 'Generative Agents Simulation', 'author': 'Park, et al. (2023)'},\n",
-       " {'title': 'Park et al. 2023', 'author': ''},\n",
-       " {'title': 'Super Mario: A Classic Platform Game', 'author': 'John Smith'},\n",
-       " {'title': 'MVC Architecture in Python', 'author': 'Jane Doe'},\n",
-       " {'title': 'Keyboard Control in Python Games', 'author': 'David Johnson'},\n",
-       " {'title': 'A Study on Machine Learning Algorithms', 'author': 'John Smith'},\n",
-       " {'title': 'Deep Learning Techniques for Image Recognition',\n",
-       "  'author': 'Jane Doe'},\n",
-       " {'title': 'Natural Language Processing: A Comprehensive Review',\n",
-       "  'author': 'David Johnson'},\n",
-       " {'title': 'Chain of thought prompting elicits reasoning in large language models.',\n",
-       "  'author': 'Wei et al.'},\n",
-       " {'title': 'Tree of Thoughts: Deliberate Problem Solving with Large Language Models.',\n",
-       "  'author': 'Yao et al.'},\n",
-       " {'title': 'Chain of Hindsight Aligns Language Models with Feedback',\n",
-       "  'author': 'Liu et al.'},\n",
-       " {'title': 'LLM+P: Empowering Large Language Models with Optimal Planning Proficiency',\n",
-       "  'author': 'Liu et al.'},\n",
-       " {'title': 'ReAct: Synergizing reasoning and acting in language models.',\n",
-       "  'author': 'Yao et al.'},\n",
-       " {'title': 'Reflexion: an autonomous agent with dynamic memory and self-reflection',\n",
-       "  'author': 'Shinn & Labash'},\n",
-       " {'title': 'In-context Reinforcement Learning with Algorithm Distillation',\n",
-       "  'author': 'Laskin et al.'},\n",
-       " {'title': 'MRKL Systems A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning.',\n",
-       "  'author': 'Karpas et al.'},\n",
-       " {'title': 'API-Bank: A Benchmark for Tool-Augmented LLMs',\n",
-       "  'author': 'Li et al.'},\n",
-       " {'title': 'HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in HuggingFace',\n",
-       "  'author': 'Shen et al.'},\n",
-       " {'title': 'ChemCrow: Augmenting large-language models with chemistry tools.',\n",
-       "  'author': 'Bran et al.'},\n",
-       " {'title': 'Emergent autonomous scientific research capabilities of large language models.',\n",
-       "  'author': 'Boiko et al.'},\n",
-       " {'title': 'Generative Agents: Interactive Simulacra of Human Behavior.',\n",
-       "  'author': 'Joon Sung Park, et al.'}]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "chain.invoke(doc.page_content)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "1027e4c9",
-   "metadata": {},
-   "source": [
-    "# 五、英文版模版"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "3d92ad4e",
-   "metadata": {},
-   "source": [
-    "**2.1 创建Tagging函数**"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "72a19e0d",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class Tagging(BaseModel):\n",
-    "    \"\"\"Tag the piece of text with particular info.\"\"\"\n",
-    "    sentiment: str = Field(description=\"sentiment of text, should be `pos`, `neg`, or `neutral`\")\n",
-    "    language: str = Field(description=\"language of text (should be ISO 639-1 code)\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "0ab576c2",
-   "metadata": {},
-   "source": [
-    "**2.2 通过LangChain实现Tagging**"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "cf7353b4",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "prompt = ChatPromptTemplate.from_messages([\n",
-    "    (\"system\", \"Think carefully, and then tag the text as instructed\"),\n",
-    "    (\"user\", \"{input}\")\n",
-    "])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "57ca92a1",
-   "metadata": {},
-   "source": [
-    "**3.1 创建Extraction函数**"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "ef95c6aa",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class Person(BaseModel):\n",
-    "    \"\"\"Information about a person.\"\"\"\n",
-    "    name: str = Field(description=\"person's name\")  \n",
-    "    age: Optional[int] = Field(description=\"person's age\")  "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "0b5703cf",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class Information(BaseModel):\n",
-    "    \"\"\"Information to extract.\"\"\"\n",
-    "    people: List[Person] = Field(description=\"List of info about people\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "3bfc2f8c",
-   "metadata": {},
-   "source": [
-    "**3.2 通过LangChain实现创建Extraction函数**"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "203804b9",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "prompt = ChatPromptTemplate.from_messages([\n",
-    "    (\"system\", \"Extract the relevant information, if not explicitly provided do not guess. Extract partial info\"), \n",
-    "    (\"human\", \"{input}\")  \n",
-    "])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "c612cbbc",
-   "metadata": {},
-   "source": [
-    "**4.2 提取文章概览**"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "8557237d",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class Overview(BaseModel):\n",
-    "    \"\"\"Overview of a section of text.\"\"\"\n",
-    "    summary: str = Field(description=\"Provide a concise summary of the content.\") \n",
-    "    language: str = Field(description=\"Provide the language that the content is written in.\") \n",
-    "    keywords: str = Field(description=\"Provide keywords related to the content.\") "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "30203abe",
-   "metadata": {},
-   "source": [
-    "**4.3 提取文章信息**"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "7579872a",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class Paper(BaseModel):\n",
-    "    \"\"\"Information about papers mentioned.\"\"\"\n",
-    "    title: str  \n",
-    "    author: Optional[str]  \n",
-    "\n",
-    "class Info(BaseModel):\n",
-    "    \"\"\"Information to extract\"\"\"\n",
-    "    papers: List[Paper] "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "498e7dcd",
-   "metadata": {},
-   "source": [
-    "prompt 使用 `template`"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "8d5899a0",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "template = \"\"\"\n",
-    "A article will be passed to you. Extract from it all papers that are mentioned by this article. \n",
-    "Do not extract the name of the article itself. If no papers are mentioned that's fine - you don't need to extract any! Just return an empty list.\n",
-    "Do not make up or guess ANY extra information. Only extract what exactly is in the text.\n",
-    "\"\"\""
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.4"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git "a/content/\351\200\211\344\277\256-Functions, Tools and Agents with LangChain/6. \345\267\245\345\205\267\345\222\214\350\267\257\347\224\261 Tools and Routing.ipynb" "b/content/\351\200\211\344\277\256-Functions, Tools and Agents with LangChain/6. \345\267\245\345\205\267\345\222\214\350\267\257\347\224\261 Tools and Routing.ipynb"
deleted file mode 100644
index e7b4f3e4..00000000
--- "a/content/\351\200\211\344\277\256-Functions, Tools and Agents with LangChain/6. \345\267\245\345\205\267\345\222\214\350\267\257\347\224\261 Tools and Routing.ipynb"	
+++ /dev/null
@@ -1,1880 +0,0 @@
-{
- "cells": [
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "id": "b815ef73",
-   "metadata": {},
-   "source": [
-    "# 工具和路由 Tools and Routing\n",
-    "\n",
-    " - [一、设置OpenAI API Key](#一、设置OpenAI-API-Key)\n",
-    " - [二、通过Langchain定义工具](#二、通过Langchain定义工具)\n",
-    "     - [2.1 通过装饰器之间定义Tool](#2.1-通过装饰器之间定义Tool)\n",
-    "     - [2.2 通过pydantic类定义Tool](#2.2-通过pydantic类定义Tool)\n",
-    "     - [2.3 天气查询应用案例](#2.3-天气查询应用案例)\n",
-    "     - [2.4 通过tool定义function](#2.4-通过tool定义function)\n",
-    "     - [2.5 通过API定义function案例](#2.5-通过API定义function案例)\n",
-    " - [三、 路由](#三、路由)\n",
-    "     - [3.1 Tool转换为Function](#3.1-Tool转换为Function)\n",
-    "     - [3.2 通过route进行tools的选择](#3.2-通过route进行tools的选择)\n",
-    "     - [3.3 输出解析器](#3.3-输出解析器)\n",
-    " - [四、总结](#四、总结)\n"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "id": "00b7c548",
-   "metadata": {},
-   "source": [
-    "# 一、设置OpenAI-API-Key\n",
-    "\n",
-    "详细内容见`设置OpenAI_API_KEY.ipynb`文件"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "id": "6466fd33",
-   "metadata": {},
-   "source": [
-    "# 二、通过Langchain定义工具"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "id": "032bdb49",
-   "metadata": {},
-   "source": [
-    "## 2.1-通过装饰器之间定义Tool"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "id": "744a1e2d",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# tool装饰器包装了search函数\n",
-    "@tool\n",
-    "def search(query: str) -> str:\n",
-    "    \"\"\"在网络上查询天气\"\"\"\n",
-    "    return \"42度\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "id": "5b73d2ee",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "search\n",
-      "search(query: str) -> str - 在网络上查询天气\n",
-      "{'query': {'title': 'Query', 'type': 'string'}}\n"
-     ]
-    }
-   ],
-   "source": [
-    "# 搜索工具的函数名\n",
-    "print(search.name)\n",
-    "#搜索工具的功能描述（即函数注释）\n",
-    "print(search.description)\n",
-    "# 搜索工具需要传递的参数\n",
-    "print(search.args)"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "id": "58d2d5a5",
-   "metadata": {},
-   "source": [
-    "## 2.2-通过pydantic类定义Tool"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "id": "8765af16-17fc-4490-98ab-4e9dd59337cf",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 导入 Pydantic 库中的 BaseModel 类和 Field 函数，它们用于定义数据模型和字段。\n",
-    "from pydantic import BaseModel, Field\n",
-    "\n",
-    "class SearchInput(BaseModel):\n",
-    "    \"\"\"\n",
-    "    定义了 SearchInput 类中的一个属性 query，它是一个字符串类型。通过 Field 函数，你为这个字段提供了一些配置\n",
-    "    其中 description 参数用于描述这个字段的用途，即 \"Thing to search for\"（要搜索的内容）。\n",
-    "    \"\"\"\n",
-    "    query: str = Field(description=\"你需要搜索的东西\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "id": "88b3f7d0-a856-4842-82da-6c00df53e9d9",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'query': {'title': 'Query', 'type': 'string'}}"
-      ]
-     },
-     "execution_count": 12,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 搜索工具类需要传递的参数\n",
-    "search.args"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "id": "dbea2637",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# args_schema参数传递SearchInput工具类\n",
-    "@tool(args_schema=SearchInput)\n",
-    "def search_zh(query: str) -> str:\n",
-    "    \"\"\"在网上查找温度\"\"\"\n",
-    "    return \"42度\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "id": "fcbf965d",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'query': {'title': 'Query', 'type': 'string'}}"
-      ]
-     },
-     "execution_count": 14,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "search.args"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "id": "ec1937e3",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'42度'"
-      ]
-     },
-     "execution_count": 15,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "search.run(\"圣弗朗西斯科\")"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "id": "65467dd0",
-   "metadata": {},
-   "source": [
-    "## 2.3-天气查询应用案例\n",
-    "整体代码逻辑：\n",
-    "1. 使用 Pydantic 定义了输入类OpenMeteoInput，以及输入的两个参数（经度和纬度）的输入格式\n",
-    "2. 定义了一个函数 get_current_temperature，该函数使用 OpenMeteo API 获取给定坐标位置的当前温度。\n",
-    "3. get_current_temperature函数通过发送 HTTP 请求获取 API 响应，然后从响应中提取并计算出当前时间对应的温度。\n",
-    "4. get_current_temperature函数返回一个字符串，其中包含了当前温度的信息。"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "id": "e93b85b2-1786-4f63-8e65-cd6a8b5c0b33",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 导入所需的库\n",
-    "import requests\n",
-    "from pydantic import BaseModel, Field\n",
-    "import datetime\n",
-    "\n",
-    "# 定义输入类（input schema）\n",
-    "class OpenMeteoInput(BaseModel):\n",
-    "    latitude: float = Field(..., description=\"要获取天气数据的位置的纬度\") \n",
-    "    longitude: float = Field(..., description=\"要获取天气数据的位置的经度\") \n",
-    "\n",
-    "# 使用 @tool 装饰器并指定输入模型\n",
-    "@tool(args_schema=OpenMeteoInput)\n",
-    "def get_current_temperature(latitude: float, longitude: float) -> dict:\n",
-    "    \"\"\"\"获取给定坐标的温度\"\"\"\n",
-    "    \n",
-    "    # Open Meteo API 的URL\n",
-    "    BASE_URL = \"https://api.open-meteo.com/v1/forecast\"\n",
-    "    \n",
-    "    # 请求参数\n",
-    "    params = {\n",
-    "        'latitude': latitude,\n",
-    "        'longitude': longitude,\n",
-    "        'hourly': 'temperature_2m',\n",
-    "        'forecast_days': 1,\n",
-    "    }\n",
-    "\n",
-    "    # 发送 API 请求\n",
-    "    response = requests.get(BASE_URL, params=params)\n",
-    "    \n",
-    "    # 检查响应状态码\n",
-    "    if response.status_code == 200:\n",
-    "        # 解析 JSON 响应\n",
-    "        results = response.json()\n",
-    "    else:\n",
-    "        # 处理请求失败的情况\n",
-    "        raise Exception(f\"API Request failed with status code: {response.status_code}\")\n",
-    "\n",
-    "    # 获取当前 UTC 时间\n",
-    "    current_utc_time = datetime.datetime.utcnow()\n",
-    "    \n",
-    "    # 将时间字符串转换为 datetime 对象\n",
-    "    time_list = [datetime.datetime.fromisoformat(time_str.replace('Z', '+00:00')) for time_str in results['hourly']['time']]\n",
-    "    \n",
-    "    # 获取温度列表\n",
-    "    temperature_list = results['hourly']['temperature_2m']\n",
-    "    \n",
-    "    # 找到最接近当前时间的索引\n",
-    "    closest_time_index = min(range(len(time_list)), key=lambda i: abs(time_list[i] - current_utc_time))\n",
-    "    \n",
-    "    # 获取当前温度\n",
-    "    current_temperature = temperature_list[closest_time_index]\n",
-    "    \n",
-    "    # 返回当前温度的字符串形式\n",
-    "    return f'当前的温度是 {current_temperature}°C'\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "id": "731ed353-a27d-42df-89a8-9767bafb23be",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "get_current_temperature\n",
-      "get_current_temperature(latitude: float, longitude: float) -> dict - \"获取给定坐标的温度\n",
-      "{'latitude': {'title': 'Latitude', 'description': '要获取天气数据的位置的纬度', 'type': 'number'}, 'longitude': {'title': 'Longitude', 'description': '要获取天气数据的位置的经度', 'type': 'number'}}\n"
-     ]
-    }
-   ],
-   "source": [
-    "# 工具的名字\n",
-    "print(get_current_temperature.name)\n",
-    "# 工具的功能描述\n",
-    "print(get_current_temperature.description)\n",
-    "# 工具的输入参数\n",
-    "print(get_current_temperature.args)"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "id": "38cefc99",
-   "metadata": {},
-   "source": [
-    "## 2.4-通过tool定义function"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "id": "36aacbec-9cdd-414a-b502-168cea350a30",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 导入openai的模板\n",
-    "from langchain.tools.render import format_tool_to_openai_function"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "id": "6277b6a8-f197-4057-a96a-5ebb61e18520",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "d:\\anaconda\\Lib\\site-packages\\langchain_core\\_api\\deprecation.py:117: LangChainDeprecationWarning: The function `format_tool_to_openai_function` was deprecated in LangChain 0.1.16 and will be removed in 0.2.0. Use langchain_core.utils.function_calling.convert_to_openai_function() instead.\n",
-      "  warn_deprecated(\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "{'name': 'get_current_temperature',\n",
-       " 'description': 'get_current_temperature(latitude: float, longitude: float) -> dict - \"获取给定坐标的温度',\n",
-       " 'parameters': {'type': 'object',\n",
-       "  'properties': {'latitude': {'description': '要获取天气数据的位置的纬度',\n",
-       "    'type': 'number'},\n",
-       "   'longitude': {'description': '要获取天气数据的位置的经度', 'type': 'number'}},\n",
-       "  'required': ['latitude', 'longitude']}}"
-      ]
-     },
-     "execution_count": 19,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 将定义好的工具直接传入模板，打印tool的名字、描述和输入参数格式\n",
-    "format_tool_to_openai_function(get_current_temperature)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "id": "e088eceb-424b-4da6-981f-63322c9ac56a",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'当前的温度是 41.4°C'"
-      ]
-     },
-     "execution_count": 20,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 调用工具\n",
-    "get_current_temperature({\"latitude\": 13, \"longitude\": 14})"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "id": "5eefc272-d205-4bad-ab00-282ccb3cc2fe",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import wikipedia\n",
-    "\n",
-    "# 定义维基百科搜索的tool\n",
-    "@tool\n",
-    "def search_wikipedia(query: str) -> str:\n",
-    "    \"\"\"打开维基百科搜索并获得页面的摘要\"\"\"\n",
-    "    page_titles = wikipedia.search(query)\n",
-    "    summaries = []\n",
-    "    for page_title in page_titles[: 3]: #取前三个页面标题\n",
-    "        try:\n",
-    "            #使用 wikipedia 模块的 page 函数，获取指定标题的维基百科页面对象。\n",
-    "            wiki_page =  wikipedia.page(title=page_title, auto_suggest=False) \n",
-    "            # 获取页面摘要\n",
-    "            summaries.append(f\"页面: {page_title}\\n摘要: {wiki_page.summary}\")\n",
-    "        except (\n",
-    "            self.wiki_client.exceptions.PageError,\n",
-    "            self.wiki_client.exceptions.DisambiguationError,\n",
-    "        ):\n",
-    "            pass\n",
-    "    if not summaries:\n",
-    "        return \"维基百科没有搜索到合适的结果\"\n",
-    "    return \"\\n\\n\".join(summaries)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "id": "289c5d0c-0e71-4d70-963f-9d9f58e53d56",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'search_wikipedia'"
-      ]
-     },
-     "execution_count": 23,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 工具的名字\n",
-    "search_wikipedia.name"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "id": "69756d79-ec2f-4185-89af-d14de817fc27",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'search_wikipedia(query: str) -> str - 打开维基百科搜索并获得页面的摘要'"
-      ]
-     },
-     "execution_count": 24,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 工具的描述\n",
-    "search_wikipedia.description"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "id": "d5b876cd-cc6c-484d-a3fa-d8810e22d564",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'name': 'search_wikipedia',\n",
-       " 'description': 'search_wikipedia(query: str) -> str - 打开维基百科搜索并获得页面的摘要',\n",
-       " 'parameters': {'type': 'object',\n",
-       "  'properties': {'query': {'type': 'string'}},\n",
-       "  'required': ['query']}}"
-      ]
-     },
-     "execution_count": 25,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 将工具格式化为 OpenAI 函数\n",
-    "format_tool_to_openai_function(search_wikipedia)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "id": "6dfb10e9-5d1e-474a-9c8f-7abdf7939a34",
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "ename": "NameError",
-     "evalue": "name 'self' is not defined",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[1;31mTimeoutError\u001b[0m                              Traceback (most recent call last)",
-      "File \u001b[1;32md:\\anaconda\\Lib\\site-packages\\urllib3\\util\\connection.py:85\u001b[0m, in \u001b[0;36mcreate_connection\u001b[1;34m(address, timeout, source_address, socket_options)\u001b[0m\n\u001b[0;32m     84\u001b[0m     sock\u001b[39m.\u001b[39mbind(source_address)\n\u001b[1;32m---> 85\u001b[0m sock\u001b[39m.\u001b[39mconnect(sa)\n\u001b[0;32m     86\u001b[0m \u001b[39mreturn\u001b[39;00m sock\n",
-      "\u001b[1;31mTimeoutError\u001b[0m: [WinError 10060] 由于连接方在一段时间后没有正确答复或连接的主机没有反应，连接尝试失败。",
-      "\nDuring handling of the above exception, another exception occurred:\n",
-      "\u001b[1;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
-      "Cell \u001b[1;32mIn[22], line 14\u001b[0m, in \u001b[0;36msearch_wikipedia\u001b[1;34m(query)\u001b[0m\n\u001b[0;32m     13\u001b[0m     \u001b[39m# 获取页面摘要\u001b[39;00m\n\u001b[1;32m---> 14\u001b[0m     summaries\u001b[39m.\u001b[39mappend(\u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mPage: \u001b[39m\u001b[39m{\u001b[39;00mpage_title\u001b[39m}\u001b[39;00m\u001b[39m\\n\u001b[39;00m\u001b[39mSummary: \u001b[39m\u001b[39m{\u001b[39;00mwiki_page\u001b[39m.\u001b[39msummary\u001b[39m}\u001b[39;00m\u001b[39m\"\u001b[39m)\n\u001b[0;32m     15\u001b[0m \u001b[39mexcept\u001b[39;00m (\n\u001b[0;32m     16\u001b[0m     \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mwiki_client\u001b[39m.\u001b[39mexceptions\u001b[39m.\u001b[39mPageError,\n\u001b[0;32m     17\u001b[0m     \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mwiki_client\u001b[39m.\u001b[39mexceptions\u001b[39m.\u001b[39mDisambiguationError,\n\u001b[0;32m     18\u001b[0m ):\n",
-      "File \u001b[1;32md:\\anaconda\\Lib\\site-packages\\wikipedia\\wikipedia.py:530\u001b[0m, in \u001b[0;36mWikipediaPage.summary\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    528\u001b[0m    query_params[\u001b[39m'\u001b[39m\u001b[39mpageids\u001b[39m\u001b[39m'\u001b[39m] \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mpageid\n\u001b[1;32m--> 530\u001b[0m request \u001b[39m=\u001b[39m _wiki_request(query_params)\n\u001b[0;32m    531\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_summary \u001b[39m=\u001b[39m request[\u001b[39m'\u001b[39m\u001b[39mquery\u001b[39m\u001b[39m'\u001b[39m][\u001b[39m'\u001b[39m\u001b[39mpages\u001b[39m\u001b[39m'\u001b[39m][\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mpageid][\u001b[39m'\u001b[39m\u001b[39mextract\u001b[39m\u001b[39m'\u001b[39m]\n",
-      "File \u001b[1;32md:\\anaconda\\Lib\\site-packages\\wikipedia\\wikipedia.py:737\u001b[0m, in \u001b[0;36m_wiki_request\u001b[1;34m(params)\u001b[0m\n\u001b[0;32m    735\u001b[0m   time\u001b[39m.\u001b[39msleep(\u001b[39mint\u001b[39m(wait_time\u001b[39m.\u001b[39mtotal_seconds()))\n\u001b[1;32m--> 737\u001b[0m r \u001b[39m=\u001b[39m requests\u001b[39m.\u001b[39mget(API_URL, params\u001b[39m=\u001b[39mparams, headers\u001b[39m=\u001b[39mheaders)\n\u001b[0;32m    739\u001b[0m \u001b[39mif\u001b[39;00m RATE_LIMIT:\n",
-      "File \u001b[1;32md:\\anaconda\\Lib\\site-packages\\requests\\api.py:73\u001b[0m, in \u001b[0;36mget\u001b[1;34m(url, params, **kwargs)\u001b[0m\n\u001b[0;32m     63\u001b[0m \u001b[39m\u001b[39m\u001b[39mr\u001b[39m\u001b[39m\"\"\"Sends a GET request.\u001b[39;00m\n\u001b[0;32m     64\u001b[0m \n\u001b[0;32m     65\u001b[0m \u001b[39m:param url: URL for the new :class:`Request` object.\u001b[39;00m\n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m     70\u001b[0m \u001b[39m:rtype: requests.Response\u001b[39;00m\n\u001b[0;32m     71\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[1;32m---> 73\u001b[0m \u001b[39mreturn\u001b[39;00m request(\u001b[39m\"\u001b[39m\u001b[39mget\u001b[39m\u001b[39m\"\u001b[39m, url, params\u001b[39m=\u001b[39mparams, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs)\n",
-      "File \u001b[1;32md:\\anaconda\\Lib\\site-packages\\requests\\api.py:59\u001b[0m, in \u001b[0;36mrequest\u001b[1;34m(method, url, **kwargs)\u001b[0m\n\u001b[0;32m     58\u001b[0m \u001b[39mwith\u001b[39;00m sessions\u001b[39m.\u001b[39mSession() \u001b[39mas\u001b[39;00m session:\n\u001b[1;32m---> 59\u001b[0m     \u001b[39mreturn\u001b[39;00m session\u001b[39m.\u001b[39mrequest(method\u001b[39m=\u001b[39mmethod, url\u001b[39m=\u001b[39murl, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs)\n",
-      "File \u001b[1;32md:\\anaconda\\Lib\\site-packages\\requests\\sessions.py:589\u001b[0m, in \u001b[0;36mSession.request\u001b[1;34m(self, method, url, params, data, headers, cookies, files, auth, timeout, allow_redirects, proxies, hooks, stream, verify, cert, json)\u001b[0m\n\u001b[0;32m    588\u001b[0m send_kwargs\u001b[39m.\u001b[39mupdate(settings)\n\u001b[1;32m--> 589\u001b[0m resp \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39msend(prep, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39msend_kwargs)\n\u001b[0;32m    591\u001b[0m \u001b[39mreturn\u001b[39;00m resp\n",
-      "File \u001b[1;32md:\\anaconda\\Lib\\site-packages\\requests\\sessions.py:725\u001b[0m, in \u001b[0;36mSession.send\u001b[1;34m(self, request, **kwargs)\u001b[0m\n\u001b[0;32m    724\u001b[0m     gen \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mresolve_redirects(r, request, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs)\n\u001b[1;32m--> 725\u001b[0m     history \u001b[39m=\u001b[39m [resp \u001b[39mfor\u001b[39;00m resp \u001b[39min\u001b[39;00m gen]\n\u001b[0;32m    726\u001b[0m \u001b[39melse\u001b[39;00m:\n",
-      "File \u001b[1;32md:\\anaconda\\Lib\\site-packages\\requests\\sessions.py:725\u001b[0m, in \u001b[0;36m<listcomp>\u001b[1;34m(.0)\u001b[0m\n\u001b[0;32m    724\u001b[0m     gen \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mresolve_redirects(r, request, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs)\n\u001b[1;32m--> 725\u001b[0m     history \u001b[39m=\u001b[39m [resp \u001b[39mfor\u001b[39;00m resp \u001b[39min\u001b[39;00m gen]\n\u001b[0;32m    726\u001b[0m \u001b[39melse\u001b[39;00m:\n",
-      "File \u001b[1;32md:\\anaconda\\Lib\\site-packages\\requests\\sessions.py:266\u001b[0m, in \u001b[0;36mSessionRedirectMixin.resolve_redirects\u001b[1;34m(self, resp, req, stream, timeout, verify, cert, proxies, yield_requests, **adapter_kwargs)\u001b[0m\n\u001b[0;32m    264\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[1;32m--> 266\u001b[0m     resp \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39msend(\n\u001b[0;32m    267\u001b[0m         req,\n\u001b[0;32m    268\u001b[0m         stream\u001b[39m=\u001b[39mstream,\n\u001b[0;32m    269\u001b[0m         timeout\u001b[39m=\u001b[39mtimeout,\n\u001b[0;32m    270\u001b[0m         verify\u001b[39m=\u001b[39mverify,\n\u001b[0;32m    271\u001b[0m         cert\u001b[39m=\u001b[39mcert,\n\u001b[0;32m    272\u001b[0m         proxies\u001b[39m=\u001b[39mproxies,\n\u001b[0;32m    273\u001b[0m         allow_redirects\u001b[39m=\u001b[39m\u001b[39mFalse\u001b[39;00m,\n\u001b[0;32m    274\u001b[0m         \u001b[39m*\u001b[39m\u001b[39m*\u001b[39madapter_kwargs,\n\u001b[0;32m    275\u001b[0m     )\n\u001b[0;32m    277\u001b[0m     extract_cookies_to_jar(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mcookies, prepared_request, resp\u001b[39m.\u001b[39mraw)\n",
-      "File \u001b[1;32md:\\anaconda\\Lib\\site-packages\\requests\\sessions.py:703\u001b[0m, in \u001b[0;36mSession.send\u001b[1;34m(self, request, **kwargs)\u001b[0m\n\u001b[0;32m    702\u001b[0m \u001b[39m# Send the request\u001b[39;00m\n\u001b[1;32m--> 703\u001b[0m r \u001b[39m=\u001b[39m adapter\u001b[39m.\u001b[39msend(request, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs)\n\u001b[0;32m    705\u001b[0m \u001b[39m# Total elapsed time of the request (approximately)\u001b[39;00m\n",
-      "File \u001b[1;32md:\\anaconda\\Lib\\site-packages\\requests\\adapters.py:486\u001b[0m, in \u001b[0;36mHTTPAdapter.send\u001b[1;34m(self, request, stream, timeout, verify, cert, proxies)\u001b[0m\n\u001b[0;32m    485\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[1;32m--> 486\u001b[0m     resp \u001b[39m=\u001b[39m conn\u001b[39m.\u001b[39murlopen(\n\u001b[0;32m    487\u001b[0m         method\u001b[39m=\u001b[39mrequest\u001b[39m.\u001b[39mmethod,\n\u001b[0;32m    488\u001b[0m         url\u001b[39m=\u001b[39murl,\n\u001b[0;32m    489\u001b[0m         body\u001b[39m=\u001b[39mrequest\u001b[39m.\u001b[39mbody,\n\u001b[0;32m    490\u001b[0m         headers\u001b[39m=\u001b[39mrequest\u001b[39m.\u001b[39mheaders,\n\u001b[0;32m    491\u001b[0m         redirect\u001b[39m=\u001b[39m\u001b[39mFalse\u001b[39;00m,\n\u001b[0;32m    492\u001b[0m         assert_same_host\u001b[39m=\u001b[39m\u001b[39mFalse\u001b[39;00m,\n\u001b[0;32m    493\u001b[0m         preload_content\u001b[39m=\u001b[39m\u001b[39mFalse\u001b[39;00m,\n\u001b[0;32m    494\u001b[0m         decode_content\u001b[39m=\u001b[39m\u001b[39mFalse\u001b[39;00m,\n\u001b[0;32m    495\u001b[0m         retries\u001b[39m=\u001b[39m\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mmax_retries,\n\u001b[0;32m    496\u001b[0m         timeout\u001b[39m=\u001b[39mtimeout,\n\u001b[0;32m    497\u001b[0m         chunked\u001b[39m=\u001b[39mchunked,\n\u001b[0;32m    498\u001b[0m     )\n\u001b[0;32m    500\u001b[0m \u001b[39mexcept\u001b[39;00m (ProtocolError, \u001b[39mOSError\u001b[39;00m) \u001b[39mas\u001b[39;00m err:\n",
-      "File \u001b[1;32md:\\anaconda\\Lib\\site-packages\\urllib3\\connectionpool.py:714\u001b[0m, in \u001b[0;36mHTTPConnectionPool.urlopen\u001b[1;34m(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw)\u001b[0m\n\u001b[0;32m    713\u001b[0m \u001b[39m# Make the request on the httplib connection object.\u001b[39;00m\n\u001b[1;32m--> 714\u001b[0m httplib_response \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_make_request(\n\u001b[0;32m    715\u001b[0m     conn,\n\u001b[0;32m    716\u001b[0m     method,\n\u001b[0;32m    717\u001b[0m     url,\n\u001b[0;32m    718\u001b[0m     timeout\u001b[39m=\u001b[39mtimeout_obj,\n\u001b[0;32m    719\u001b[0m     body\u001b[39m=\u001b[39mbody,\n\u001b[0;32m    720\u001b[0m     headers\u001b[39m=\u001b[39mheaders,\n\u001b[0;32m    721\u001b[0m     chunked\u001b[39m=\u001b[39mchunked,\n\u001b[0;32m    722\u001b[0m )\n\u001b[0;32m    724\u001b[0m \u001b[39m# If we're going to release the connection in ``finally:``, then\u001b[39;00m\n\u001b[0;32m    725\u001b[0m \u001b[39m# the response doesn't need to know about the connection. Otherwise\u001b[39;00m\n\u001b[0;32m    726\u001b[0m \u001b[39m# it will also try to release it and we'll have a double-release\u001b[39;00m\n\u001b[0;32m    727\u001b[0m \u001b[39m# mess.\u001b[39;00m\n",
-      "File \u001b[1;32md:\\anaconda\\Lib\\site-packages\\urllib3\\connectionpool.py:403\u001b[0m, in \u001b[0;36mHTTPConnectionPool._make_request\u001b[1;34m(self, conn, method, url, timeout, chunked, **httplib_request_kw)\u001b[0m\n\u001b[0;32m    402\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[1;32m--> 403\u001b[0m     \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_validate_conn(conn)\n\u001b[0;32m    404\u001b[0m \u001b[39mexcept\u001b[39;00m (SocketTimeout, BaseSSLError) \u001b[39mas\u001b[39;00m e:\n\u001b[0;32m    405\u001b[0m     \u001b[39m# Py2 raises this as a BaseSSLError, Py3 raises it as socket timeout.\u001b[39;00m\n",
-      "File \u001b[1;32md:\\anaconda\\Lib\\site-packages\\urllib3\\connectionpool.py:1053\u001b[0m, in \u001b[0;36mHTTPSConnectionPool._validate_conn\u001b[1;34m(self, conn)\u001b[0m\n\u001b[0;32m   1052\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mgetattr\u001b[39m(conn, \u001b[39m\"\u001b[39m\u001b[39msock\u001b[39m\u001b[39m\"\u001b[39m, \u001b[39mNone\u001b[39;00m):  \u001b[39m# AppEngine might not have  `.sock`\u001b[39;00m\n\u001b[1;32m-> 1053\u001b[0m     conn\u001b[39m.\u001b[39mconnect()\n\u001b[0;32m   1055\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m conn\u001b[39m.\u001b[39mis_verified:\n",
-      "File \u001b[1;32md:\\anaconda\\Lib\\site-packages\\urllib3\\connection.py:363\u001b[0m, in \u001b[0;36mHTTPSConnection.connect\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    361\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mconnect\u001b[39m(\u001b[39mself\u001b[39m):\n\u001b[0;32m    362\u001b[0m     \u001b[39m# Add certificate verification\u001b[39;00m\n\u001b[1;32m--> 363\u001b[0m     \u001b[39mself\u001b[39m\u001b[39m.\u001b[39msock \u001b[39m=\u001b[39m conn \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_new_conn()\n\u001b[0;32m    364\u001b[0m     hostname \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mhost\n",
-      "File \u001b[1;32md:\\anaconda\\Lib\\site-packages\\urllib3\\connection.py:174\u001b[0m, in \u001b[0;36mHTTPConnection._new_conn\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    173\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[1;32m--> 174\u001b[0m     conn \u001b[39m=\u001b[39m connection\u001b[39m.\u001b[39mcreate_connection(\n\u001b[0;32m    175\u001b[0m         (\u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_dns_host, \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mport), \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mtimeout, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mextra_kw\n\u001b[0;32m    176\u001b[0m     )\n\u001b[0;32m    178\u001b[0m \u001b[39mexcept\u001b[39;00m SocketTimeout:\n",
-      "File \u001b[1;32md:\\anaconda\\Lib\\site-packages\\urllib3\\util\\connection.py:91\u001b[0m, in \u001b[0;36mcreate_connection\u001b[1;34m(address, timeout, source_address, socket_options)\u001b[0m\n\u001b[0;32m     90\u001b[0m \u001b[39mif\u001b[39;00m sock \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[1;32m---> 91\u001b[0m     sock\u001b[39m.\u001b[39mclose()\n\u001b[0;32m     92\u001b[0m     sock \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m\n",
-      "File \u001b[1;32md:\\anaconda\\Lib\\socket.py:499\u001b[0m, in \u001b[0;36msocket.close\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    497\u001b[0m     _ss\u001b[39m.\u001b[39mclose(\u001b[39mself\u001b[39m)\n\u001b[1;32m--> 499\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mclose\u001b[39m(\u001b[39mself\u001b[39m):\n\u001b[0;32m    500\u001b[0m     \u001b[39m# This function should not reference any globals. See issue #808164.\u001b[39;00m\n\u001b[0;32m    501\u001b[0m     \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_closed \u001b[39m=\u001b[39m \u001b[39mTrue\u001b[39;00m\n",
-      "\u001b[1;31mKeyboardInterrupt\u001b[0m: ",
-      "\nDuring handling of the above exception, another exception occurred:\n",
-      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
-      "Cell \u001b[1;32mIn[27], line 2\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[39m# 调用\u001b[39;00m\n\u001b[1;32m----> 2\u001b[0m search_wikipedia({\u001b[39m\"\u001b[39m\u001b[39mquery\u001b[39m\u001b[39m\"\u001b[39m: \u001b[39m\"\u001b[39m\u001b[39mlangchain\u001b[39m\u001b[39m\"\u001b[39m})\n",
-      "File \u001b[1;32md:\\anaconda\\Lib\\site-packages\\langchain_core\\tools.py:519\u001b[0m, in \u001b[0;36mBaseTool.__call__\u001b[1;34m(self, tool_input, callbacks)\u001b[0m\n\u001b[0;32m    517\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m__call__\u001b[39m(\u001b[39mself\u001b[39m, tool_input: \u001b[39mstr\u001b[39m, callbacks: Callbacks \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m \u001b[39mstr\u001b[39m:\n\u001b[0;32m    518\u001b[0m \u001b[39m    \u001b[39m\u001b[39m\"\"\"Make tool callable.\"\"\"\u001b[39;00m\n\u001b[1;32m--> 519\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mrun(tool_input, callbacks\u001b[39m=\u001b[39mcallbacks)\n",
-      "File \u001b[1;32md:\\anaconda\\Lib\\site-packages\\langchain_core\\tools.py:419\u001b[0m, in \u001b[0;36mBaseTool.run\u001b[1;34m(self, tool_input, verbose, start_color, color, callbacks, tags, metadata, run_name, **kwargs)\u001b[0m\n\u001b[0;32m    417\u001b[0m \u001b[39mexcept\u001b[39;00m (\u001b[39mException\u001b[39;00m, \u001b[39mKeyboardInterrupt\u001b[39;00m) \u001b[39mas\u001b[39;00m e:\n\u001b[0;32m    418\u001b[0m     run_manager\u001b[39m.\u001b[39mon_tool_error(e)\n\u001b[1;32m--> 419\u001b[0m     \u001b[39mraise\u001b[39;00m e\n\u001b[0;32m    420\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m    421\u001b[0m     run_manager\u001b[39m.\u001b[39mon_tool_end(\n\u001b[0;32m    422\u001b[0m         \u001b[39mstr\u001b[39m(observation), color\u001b[39m=\u001b[39mcolor, name\u001b[39m=\u001b[39m\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mname, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs\n\u001b[0;32m    423\u001b[0m     )\n",
-      "File \u001b[1;32md:\\anaconda\\Lib\\site-packages\\langchain_core\\tools.py:376\u001b[0m, in \u001b[0;36mBaseTool.run\u001b[1;34m(self, tool_input, verbose, start_color, color, callbacks, tags, metadata, run_name, **kwargs)\u001b[0m\n\u001b[0;32m    373\u001b[0m     parsed_input \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_parse_input(tool_input)\n\u001b[0;32m    374\u001b[0m     tool_args, tool_kwargs \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_to_args_and_kwargs(parsed_input)\n\u001b[0;32m    375\u001b[0m     observation \u001b[39m=\u001b[39m (\n\u001b[1;32m--> 376\u001b[0m         \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_run(\u001b[39m*\u001b[39mtool_args, run_manager\u001b[39m=\u001b[39mrun_manager, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mtool_kwargs)\n\u001b[0;32m    377\u001b[0m         \u001b[39mif\u001b[39;00m new_arg_supported\n\u001b[0;32m    378\u001b[0m         \u001b[39melse\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_run(\u001b[39m*\u001b[39mtool_args, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mtool_kwargs)\n\u001b[0;32m    379\u001b[0m     )\n\u001b[0;32m    380\u001b[0m \u001b[39mexcept\u001b[39;00m ValidationError \u001b[39mas\u001b[39;00m e:\n\u001b[0;32m    381\u001b[0m     \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mhandle_validation_error:\n",
-      "File \u001b[1;32md:\\anaconda\\Lib\\site-packages\\langchain_core\\tools.py:701\u001b[0m, in \u001b[0;36mStructuredTool._run\u001b[1;34m(self, run_manager, *args, **kwargs)\u001b[0m\n\u001b[0;32m    692\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mfunc:\n\u001b[0;32m    693\u001b[0m     new_argument_supported \u001b[39m=\u001b[39m signature(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mfunc)\u001b[39m.\u001b[39mparameters\u001b[39m.\u001b[39mget(\u001b[39m\"\u001b[39m\u001b[39mcallbacks\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[0;32m    694\u001b[0m     \u001b[39mreturn\u001b[39;00m (\n\u001b[0;32m    695\u001b[0m         \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mfunc(\n\u001b[0;32m    696\u001b[0m             \u001b[39m*\u001b[39margs,\n\u001b[0;32m    697\u001b[0m             callbacks\u001b[39m=\u001b[39mrun_manager\u001b[39m.\u001b[39mget_child() \u001b[39mif\u001b[39;00m run_manager \u001b[39melse\u001b[39;00m \u001b[39mNone\u001b[39;00m,\n\u001b[0;32m    698\u001b[0m             \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs,\n\u001b[0;32m    699\u001b[0m         )\n\u001b[0;32m    700\u001b[0m         \u001b[39mif\u001b[39;00m new_argument_supported\n\u001b[1;32m--> 701\u001b[0m         \u001b[39melse\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mfunc(\u001b[39m*\u001b[39margs, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs)\n\u001b[0;32m    702\u001b[0m     )\n\u001b[0;32m    703\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mNotImplementedError\u001b[39;00m(\u001b[39m\"\u001b[39m\u001b[39mTool does not support sync\u001b[39m\u001b[39m\"\u001b[39m)\n",
-      "Cell \u001b[1;32mIn[22], line 16\u001b[0m, in \u001b[0;36msearch_wikipedia\u001b[1;34m(query)\u001b[0m\n\u001b[0;32m     13\u001b[0m         \u001b[39m# 获取页面摘要\u001b[39;00m\n\u001b[0;32m     14\u001b[0m         summaries\u001b[39m.\u001b[39mappend(\u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mPage: \u001b[39m\u001b[39m{\u001b[39;00mpage_title\u001b[39m}\u001b[39;00m\u001b[39m\\n\u001b[39;00m\u001b[39mSummary: \u001b[39m\u001b[39m{\u001b[39;00mwiki_page\u001b[39m.\u001b[39msummary\u001b[39m}\u001b[39;00m\u001b[39m\"\u001b[39m)\n\u001b[0;32m     15\u001b[0m     \u001b[39mexcept\u001b[39;00m (\n\u001b[1;32m---> 16\u001b[0m         \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mwiki_client\u001b[39m.\u001b[39mexceptions\u001b[39m.\u001b[39mPageError,\n\u001b[0;32m     17\u001b[0m         \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mwiki_client\u001b[39m.\u001b[39mexceptions\u001b[39m.\u001b[39mDisambiguationError,\n\u001b[0;32m     18\u001b[0m     ):\n\u001b[0;32m     19\u001b[0m         \u001b[39mpass\u001b[39;00m\n\u001b[0;32m     20\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m summaries:\n",
-      "\u001b[1;31mNameError\u001b[0m: name 'self' is not defined"
-     ]
-    }
-   ],
-   "source": [
-    "# 调用\n",
-    "search_wikipedia({\"query\": \"langchain\"})"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "id": "71add465",
-   "metadata": {},
-   "source": [
-    "## 2.5-通过API定义function案例"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "id": "54cbe57e-f64c-4392-bcdd-9621fe1e46e5",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# openapi_spec_to_openai_fn可以把json格式的API定义转换成openai的function call格式\n",
-    "from langchain.chains.openai_functions.openapi import openapi_spec_to_openai_fn\n",
-    "# OpenAPISpec是标准化的API格式定义\n",
-    "from langchain.utilities.openapi import OpenAPISpec"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "id": "7fe38e50-874c-49bd-8681-f95dcab0b464",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# json格式的API定义\n",
-    "text = \"\"\"\n",
-    "{\n",
-    "  \"openapi\": \"3.0.0\",\n",
-    "  \"info\": {\n",
-    "    \"version\": \"1.0.0\",\n",
-    "    \"title\": \"Swagger Petstore\",\n",
-    "    \"license\": {\n",
-    "      \"name\": \"MIT\"\n",
-    "    }\n",
-    "  },\n",
-    "  \"servers\": [\n",
-    "    {\n",
-    "      \"url\": \"http://petstore.swagger.io/v1\"\n",
-    "    }\n",
-    "  ],\n",
-    "  \"paths\": {\n",
-    "    \"/pets\": {\n",
-    "      \"get\": {\n",
-    "        \"summary\": \"List all pets\",\n",
-    "        \"operationId\": \"listPets\",\n",
-    "        \"tags\": [\n",
-    "          \"pets\"\n",
-    "        ],\n",
-    "        \"parameters\": [\n",
-    "          {\n",
-    "            \"name\": \"limit\",\n",
-    "            \"in\": \"query\",\n",
-    "            \"description\": \"How many items to return at one time (max 100)\",\n",
-    "            \"required\": false,\n",
-    "            \"schema\": {\n",
-    "              \"type\": \"integer\",\n",
-    "              \"maximum\": 100,\n",
-    "              \"format\": \"int32\"\n",
-    "            }\n",
-    "          }\n",
-    "        ],\n",
-    "        \"responses\": {\n",
-    "          \"200\": {\n",
-    "            \"description\": \"A paged array of pets\",\n",
-    "            \"headers\": {\n",
-    "              \"x-next\": {\n",
-    "                \"description\": \"A link to the next page of responses\",\n",
-    "                \"schema\": {\n",
-    "                  \"type\": \"string\"\n",
-    "                }\n",
-    "              }\n",
-    "            },\n",
-    "            \"content\": {\n",
-    "              \"application/json\": {\n",
-    "                \"schema\": {\n",
-    "                  \"$ref\": \"#/components/schemas/Pets\"\n",
-    "                }\n",
-    "              }\n",
-    "            }\n",
-    "          },\n",
-    "          \"default\": {\n",
-    "            \"description\": \"unexpected error\",\n",
-    "            \"content\": {\n",
-    "              \"application/json\": {\n",
-    "                \"schema\": {\n",
-    "                  \"$ref\": \"#/components/schemas/Error\"\n",
-    "                }\n",
-    "              }\n",
-    "            }\n",
-    "          }\n",
-    "        }\n",
-    "      },\n",
-    "      \"post\": {\n",
-    "        \"summary\": \"Create a pet\",\n",
-    "        \"operationId\": \"createPets\",\n",
-    "        \"tags\": [\n",
-    "          \"pets\"\n",
-    "        ],\n",
-    "        \"responses\": {\n",
-    "          \"201\": {\n",
-    "            \"description\": \"Null response\"\n",
-    "          },\n",
-    "          \"default\": {\n",
-    "            \"description\": \"unexpected error\",\n",
-    "            \"content\": {\n",
-    "              \"application/json\": {\n",
-    "                \"schema\": {\n",
-    "                  \"$ref\": \"#/components/schemas/Error\"\n",
-    "                }\n",
-    "              }\n",
-    "            }\n",
-    "          }\n",
-    "        }\n",
-    "      }\n",
-    "    },\n",
-    "    \"/pets/{petId}\": {\n",
-    "      \"get\": {\n",
-    "        \"summary\": \"Info for a specific pet\",\n",
-    "        \"operationId\": \"showPetById\",\n",
-    "        \"tags\": [\n",
-    "          \"pets\"\n",
-    "        ],\n",
-    "        \"parameters\": [\n",
-    "          {\n",
-    "            \"name\": \"petId\",\n",
-    "            \"in\": \"path\",\n",
-    "            \"required\": true,\n",
-    "            \"description\": \"The id of the pet to retrieve\",\n",
-    "            \"schema\": {\n",
-    "              \"type\": \"string\"\n",
-    "            }\n",
-    "          }\n",
-    "        ],\n",
-    "        \"responses\": {\n",
-    "          \"200\": {\n",
-    "            \"description\": \"Expected response to a valid request\",\n",
-    "            \"content\": {\n",
-    "              \"application/json\": {\n",
-    "                \"schema\": {\n",
-    "                  \"$ref\": \"#/components/schemas/Pet\"\n",
-    "                }\n",
-    "              }\n",
-    "            }\n",
-    "          },\n",
-    "          \"default\": {\n",
-    "            \"description\": \"unexpected error\",\n",
-    "            \"content\": {\n",
-    "              \"application/json\": {\n",
-    "                \"schema\": {\n",
-    "                  \"$ref\": \"#/components/schemas/Error\"\n",
-    "                }\n",
-    "              }\n",
-    "            }\n",
-    "          }\n",
-    "        }\n",
-    "      }\n",
-    "    }\n",
-    "  },\n",
-    "  \"components\": {\n",
-    "    \"schemas\": {\n",
-    "      \"Pet\": {\n",
-    "        \"type\": \"object\",\n",
-    "        \"required\": [\n",
-    "          \"id\",\n",
-    "          \"name\"\n",
-    "        ],\n",
-    "        \"properties\": {\n",
-    "          \"id\": {\n",
-    "            \"type\": \"integer\",\n",
-    "            \"format\": \"int64\"\n",
-    "          },\n",
-    "          \"name\": {\n",
-    "            \"type\": \"string\"\n",
-    "          },\n",
-    "          \"tag\": {\n",
-    "            \"type\": \"string\"\n",
-    "          }\n",
-    "        }\n",
-    "      },\n",
-    "      \"Pets\": {\n",
-    "        \"type\": \"array\",\n",
-    "        \"maxItems\": 100,\n",
-    "        \"items\": {\n",
-    "          \"$ref\": \"#/components/schemas/Pet\"\n",
-    "        }\n",
-    "      },\n",
-    "      \"Error\": {\n",
-    "        \"type\": \"object\",\n",
-    "        \"required\": [\n",
-    "          \"code\",\n",
-    "          \"message\"\n",
-    "        ],\n",
-    "        \"properties\": {\n",
-    "          \"code\": {\n",
-    "            \"type\": \"integer\",\n",
-    "            \"format\": \"int32\"\n",
-    "          },\n",
-    "          \"message\": {\n",
-    "            \"type\": \"string\"\n",
-    "          }\n",
-    "        }\n",
-    "      }\n",
-    "    }\n",
-    "  }\n",
-    "}\n",
-    "\"\"\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "id": "653156d4-d6a4-499b-aab3-cf4f7b1f0c47",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Attempting to load an OpenAPI 3.0.0 spec.  This may result in degraded performance. Convert your OpenAPI spec to 3.1.* spec for better support.\n"
-     ]
-    }
-   ],
-   "source": [
-    "# 从text中导入API的详细定义\n",
-    "spec = OpenAPISpec.from_text(text)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "id": "d9ba6100-3c88-4b05-af93-784b57bf7424",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 转换成openai的fuction call格式\n",
-    "pet_openai_functions, pet_callables = openapi_spec_to_openai_fn(spec)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 29,
-   "id": "91199697-c662-438f-8c68-e6daa8aad07d",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[{'name': 'listPets',\n",
-       "  'description': 'List all pets',\n",
-       "  'parameters': {'type': 'object',\n",
-       "   'properties': {'params': {'type': 'object',\n",
-       "     'properties': {'limit': {'type': 'integer',\n",
-       "       'maximum': 100.0,\n",
-       "       'schema_format': 'int32',\n",
-       "       'description': 'How many items to return at one time (max 100)'}},\n",
-       "     'required': []}}}},\n",
-       " {'name': 'createPets',\n",
-       "  'description': 'Create a pet',\n",
-       "  'parameters': {'type': 'object', 'properties': {}}},\n",
-       " {'name': 'showPetById',\n",
-       "  'description': 'Info for a specific pet',\n",
-       "  'parameters': {'type': 'object',\n",
-       "   'properties': {'path_params': {'type': 'object',\n",
-       "     'properties': {'petId': {'type': 'string',\n",
-       "       'description': 'The id of the pet to retrieve'}},\n",
-       "     'required': ['petId']}}}}]"
-      ]
-     },
-     "execution_count": 29,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 查看fuction的定义\n",
-    "pet_openai_functions"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "id": "ae8b3c1b-7a30-4b1b-abfd-e56f90b1d166",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 导入模型\n",
-    "from langchain.chat_models import ChatOpenAI"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 31,
-   "id": "ed100888-f3d4-4739-bba5-f839033850a3",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\14549\\anaconda3\\envs\\basic\\lib\\site-packages\\langchain_core\\_api\\deprecation.py:117: LangChainDeprecationWarning: The class `langchain_community.chat_models.openai.ChatOpenAI` was deprecated in langchain-community 0.0.10 and will be removed in 0.2.0. An updated version of the class exists in the langchain-openai package and should be used instead. To use it run `pip install -U langchain-openai` and import as `from langchain_openai import ChatOpenAI`.\n",
-      "  warn_deprecated(\n"
-     ]
-    }
-   ],
-   "source": [
-    "# 设置模型温度系数并传入function\n",
-    "model = ChatOpenAI(temperature=0).bind(functions=pet_openai_functions)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 33,
-   "id": "27d7817c",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "AIMessage(content='', additional_kwargs={'function_call': {'arguments': '{\"params\":{\"limit\":3}}', 'name': 'listPets'}})"
-      ]
-     },
-     "execution_count": 33,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 输入query，查看模型调用的function以及返回信息\n",
-    "model.invoke(\"这三只宠物的名字叫什么？\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 35,
-   "id": "6a373750",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "AIMessage(content='', additional_kwargs={'function_call': {'arguments': '{\"path_params\":{\"petId\":\"42\"}}', 'name': 'showPetById'}})"
-      ]
-     },
-     "execution_count": 35,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "model.invoke(\"告诉我id为42的宠物的消息\")"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "id": "198b21dd-c9de-491d-9a0c-71ae56727689",
-   "metadata": {},
-   "source": [
-    "# 3、 路由\n",
-    "\n",
-    "展示一个函数调用的例子，用于在两个候选函数之间做出决策。\n",
-    "\n"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "id": "99c30e7d",
-   "metadata": {},
-   "source": [
-    "## 3.1-Tool转换为Function\n",
-    "\n",
-    "鉴于我们上面提到的工具，让我们将它们格式化为 OpenAI 函数，并展示相同的行为。"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 36,
-   "id": "8137758c-c5d3-47df-9062-5e31d43657e7",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 将工具格式化为 OpenAI 函数\n",
-    "functions = [\n",
-    "    format_tool_to_openai_function(f) for f in [\n",
-    "        search_wikipedia, get_current_temperature\n",
-    "    ]\n",
-    "]\n",
-    "model = ChatOpenAI(temperature=0).bind(functions=functions)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 37,
-   "id": "99120542-36bc-4ed1-aa9e-e2294e282c81",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "AIMessage(content='', additional_kwargs={'function_call': {'arguments': '{\"latitude\":37.7749,\"longitude\":-122.4194}', 'name': 'get_current_temperature'}})"
-      ]
-     },
-     "execution_count": 37,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 模型调用\n",
-    "model.invoke(\"圣佛朗西斯科现在的温度是多少？\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 38,
-   "id": "a20047d9-4b34-4e6c-9407-570af1559bc8",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "AIMessage(content='', additional_kwargs={'function_call': {'arguments': '{\"query\":\"Langchain\"}', 'name': 'search_wikipedia'}})"
-      ]
-     },
-     "execution_count": 38,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 模型调用\n",
-    "model.invoke(\"什么是langchain？\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 73,
-   "id": "831a0506-1d5c-4bc3-b67f-24e201a4fa6d",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 使用template构造prompt\n",
-    "from langchain.prompts import ChatPromptTemplate\n",
-    "\n",
-    "prompt = ChatPromptTemplate.from_messages([\n",
-    "    (\"system\", \"你是个乐于助人的助理\"),\n",
-    "    (\"user\", \"{input}\"),\n",
-    "])\n",
-    "\n",
-    "# 创建处理链，将 prompt和model连接起来\n",
-    "chain = prompt | model"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 61,
-   "id": "d9c32ccc-6691-4dd5-98dc-aabf02563ad5",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "AIMessage(content='', additional_kwargs={'function_call': {'arguments': '{\"latitude\":37.7749,\"longitude\":-122.4194}', 'name': 'get_current_temperature'}})"
-      ]
-     },
-     "execution_count": 61,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 输入query进行调用\n",
-    "chain.invoke({\"input\": \"圣佛朗西斯科现在的温度是多少？\"})"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 62,
-   "id": "921e808c-6618-4d2f-85df-1f3089497724",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 导入输出解析的包\n",
-    "from langchain.agents.output_parsers import OpenAIFunctionsAgentOutputParser"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 63,
-   "id": "094baef1-4140-41f4-9111-ff9710826e6b",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 创建处理链，将 prompt、model 和 OpenAIFunctionsAgentOutputParser 连接起来\n",
-    "chain = prompt | model | OpenAIFunctionsAgentOutputParser()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 43,
-   "id": "f105e8e8-d418-4d4a-95eb-52636d4e890f",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 调用\n",
-    "result = chain.invoke({\"input\": \"圣佛朗西斯科现在的温度是多少？\"})"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 44,
-   "id": "409b26c0-a1e0-4225-ae2e-396c1f76bf0a",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "langchain_core.agents.AgentActionMessageLog"
-      ]
-     },
-     "execution_count": 44,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 打印返回的类型，可以判断是否产生function的调用\n",
-    "type(result)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 45,
-   "id": "9cdde008-4b11-4ab2-a01c-6ae394a7dccf",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'get_current_temperature'"
-      ]
-     },
-     "execution_count": 45,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 查看调用的tool\n",
-    "result.tool"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 46,
-   "id": "66ffb308-3d77-4acb-b4b5-e2b0d38f3860",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'latitude': 37.7749, 'longitude': -122.4194}"
-      ]
-     },
-     "execution_count": 46,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 查看tool的输入，result.message_log可以查看调用结果\n",
-    "result.tool_input"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 47,
-   "id": "07e661b1-6d0d-43b9-9de4-19c6cceff291",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'The current temperature is 9.4°C'"
-      ]
-     },
-     "execution_count": 47,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 调用的获取温度的工具\n",
-    "get_current_temperature(result.tool_input)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 48,
-   "id": "057e3072-a203-4a5e-b1f6-b250cd7bd33b",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 继续调用\n",
-    "result = chain.invoke({\"input\": \"你好!\"})"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 49,
-   "id": "5be6bc0f-5b81-49fa-ac16-b8896847d87a",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "langchain_core.agents.AgentFinish"
-      ]
-     },
-     "execution_count": 49,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 打印返回的类型，可以判断是否产生function的调用\n",
-    "type(result)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 50,
-   "id": "dd128d20-f552-4cc5-a45e-f47b58c9982b",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'output': 'Well, hello there! How can I assist you today?'}"
-      ]
-     },
-     "execution_count": 50,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 查看返回值\n",
-    "result.return_values"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "id": "f75da727",
-   "metadata": {},
-   "source": [
-    "## 3.2-通过route进行tools的选择"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 51,
-   "id": "134f422a-b72b-40df-9552-cf9f9fc2d780",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "\"\"\"\n",
-    "route会根据result进行tools的选择：\n",
-    "AgentFinish：表示已经完成，可以输出\n",
-    "AgentActionMessageLog：表示未完成，需要继续进行route调用tools\n",
-    "\"\"\"\n",
-    "from langchain.schema.agent import AgentFinish\n",
-    "def route(result):\n",
-    "    if isinstance(result, AgentFinish):\n",
-    "        return result.return_values['output']\n",
-    "    else:\n",
-    "        tools = {\n",
-    "            \"search_wikipedia\": search_wikipedia, \n",
-    "            \"get_current_temperature\": get_current_temperature,\n",
-    "        }\n",
-    "        return tools[result.tool].run(result.tool_input)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 77,
-   "id": "11b727ca-f571-4410-8087-95c73a37c620",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "chain = prompt | model | OpenAIFunctionsAgentOutputParser() | route"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 83,
-   "id": "da06e7e7",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'你好！有什么可以帮助你的吗？'"
-      ]
-     },
-     "execution_count": 83,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "chain.invoke({\"input\": \"你好！\"})"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 81,
-   "id": "e6385c8e",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'The current temperature is 9.4°C'"
-      ]
-     },
-     "execution_count": 81,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "result = chain.invoke({\"input\": \"圣弗朗西斯科的天气现在怎么样？\"})\n",
-    "result"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 82,
-   "id": "5c0de3e7-2367-4cef-b3dd-efa69b701061",
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'Page: LangChain\\nSummary: LangChain is a framework designed to simplify the creation of applications using large language models (LLMs). As a language model integration framework, LangChain\\'s use-cases largely overlap with those of language models in general, including document analysis and summarization, chatbots, and code analysis.\\n\\nPage: OpenAI\\nSummary: OpenAI is a U.S. based artificial intelligence (AI) research organization founded in December 2015, researching artificial intelligence with the goal of developing \"safe and beneficial\" artificial general intelligence, which it defines as \"highly autonomous systems that outperform humans at most economically valuable work\".\\nAs one of the leading organizations of the AI spring, it has developed several large language models, advanced image generation models, and previously, released open-source models. Its release of ChatGPT has been credited with starting the AI spring.The organization consists of the non-profit OpenAI, Inc. registered in Delaware and its for-profit subsidiary OpenAI Global, LLC. It was founded by Ilya Sutskever, Greg Brockman, Trevor Blackwell, Vicki Cheung, Andrej Karpathy, Durk Kingma, Jessica Livingston, John Schulman, Pamela Vagata, and Wojciech Zaremba, with Sam Altman and Elon Musk serving as the initial board members. Microsoft provided OpenAI Global LLC with a $1 billion investment in 2019 and a $10 billion investment in 2023, with a significant portion of the investment in the form of computational resources on Microsoft\\'s Azure cloud service.On November 17, 2023, the board removed Altman as CEO, while Brockman was removed as chairman and then resigned as president. Four days later, both returned after negotiations with the board, and most of the board members resigned. The new initial board included former Salesforce co-CEO Bret Taylor as chairman. It was also announced that Microsoft will have a non-voting board seat.\\n\\nPage: DataStax\\nSummary: DataStax, Inc. is a real-time data for AI company based in Santa Clara, California. Its product Astra DB is a cloud database-as-a-service based on Apache Cassandra. DataStax also offers DataStax Enterprise (DSE), an on-premises database built on Apache Cassandra, and Astra Streaming, a messaging and event streaming cloud service based on Apache Pulsar. As of June 2022, the company has roughly 800 customers distributed in over 50 countries.'"
-      ]
-     },
-     "execution_count": 82,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "result = chain.invoke({\"input\": \"什么是langchain?\"})\n",
-    "result"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "id": "c1d0ffc6",
-   "metadata": {},
-   "source": [
-    "# 四、英文版提示\n",
-    "\n",
-    "我们总结一下完整的调用流程：\n",
-    "\n",
-    "构造Prompt --> 调用模型 --> 解析模型返回的结果 --> 进行路由选择对应的tool\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 29,
-   "id": "b82fa885",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "@tool\n",
-    "def search(query: str) -> str:\n",
-    "    \"\"\"\"Search for weather online\"\"\"\n",
-    "    return \"42f\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "id": "74ae5b0c",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "search\n",
-      "search(query: str) -> str - \"Search for weather online\n",
-      "{'query': {'title': 'Query', 'type': 'string'}}\n"
-     ]
-    }
-   ],
-   "source": [
-    "# 搜索工具的函数名\n",
-    "print(search.name)\n",
-    "#搜索工具的功能描述（即函数注释）\n",
-    "print(search.description)\n",
-    "# 搜索工具需要传递的参数\n",
-    "print(search.args)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 31,
-   "id": "c1ceebc1",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from pydantic import BaseModel, Field\n",
-    "\n",
-    "class SearchInput(BaseModel):\n",
-    "    query: str = Field(description=\"Thing to search for\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 35,
-   "id": "1a00da2e",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'query': {'title': 'Query', 'type': 'string'}}"
-      ]
-     },
-     "execution_count": 35,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "search.args"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 34,
-   "id": "b0afe28d",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'42f'"
-      ]
-     },
-     "execution_count": 34,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "search.run(\"sf\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 36,
-   "id": "c2bf3d23",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 导入所需的库\n",
-    "import requests\n",
-    "from pydantic import BaseModel, Field\n",
-    "import datetime\n",
-    "\n",
-    "# 定义输入类（input schema）\n",
-    "class OpenMeteoInput(BaseModel):\n",
-    "    latitude: float = Field(..., description=\"Latitude of the location to fetch weather data for\") #要获取天气数据的位置的纬度\n",
-    "    longitude: float = Field(..., description=\"Longitude of the location to fetch weather data for\") #要获取天气数据的位置的经度\n",
-    "\n",
-    "# 使用 @tool 装饰器并指定输入模型\n",
-    "@tool(args_schema=OpenMeteoInput)\n",
-    "def get_current_temperature(latitude: float, longitude: float) -> dict:\n",
-    "    \"\"\"\"Fetch current temperature for given coordinates.\"\"\"\n",
-    "    \n",
-    "    # Open Meteo API 的URL\n",
-    "    BASE_URL = \"https://api.open-meteo.com/v1/forecast\"\n",
-    "    \n",
-    "    # 请求参数\n",
-    "    params = {\n",
-    "        'latitude': latitude,\n",
-    "        'longitude': longitude,\n",
-    "        'hourly': 'temperature_2m',\n",
-    "        'forecast_days': 1,\n",
-    "    }\n",
-    "\n",
-    "    # 发送 API 请求\n",
-    "    response = requests.get(BASE_URL, params=params)\n",
-    "    \n",
-    "    # 检查响应状态码\n",
-    "    if response.status_code == 200:\n",
-    "        # 解析 JSON 响应\n",
-    "        results = response.json()\n",
-    "    else:\n",
-    "        # 处理请求失败的情况\n",
-    "        raise Exception(f\"API Request failed with status code: {response.status_code}\")\n",
-    "\n",
-    "    # 获取当前 UTC 时间\n",
-    "    current_utc_time = datetime.datetime.utcnow()\n",
-    "    \n",
-    "    # 将时间字符串转换为 datetime 对象\n",
-    "    time_list = [datetime.datetime.fromisoformat(time_str.replace('Z', '+00:00')) for time_str in results['hourly']['time']]\n",
-    "    \n",
-    "    # 获取温度列表\n",
-    "    temperature_list = results['hourly']['temperature_2m']\n",
-    "    \n",
-    "    # 找到最接近当前时间的索引\n",
-    "    closest_time_index = min(range(len(time_list)), key=lambda i: abs(time_list[i] - current_utc_time))\n",
-    "    \n",
-    "    # 获取当前温度\n",
-    "    current_temperature = temperature_list[closest_time_index]\n",
-    "    \n",
-    "    # 返回当前温度的字符串形式\n",
-    "    return f'The current temperature is {current_temperature}°C'\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 37,
-   "id": "130925b6",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "get_current_temperature\n",
-      "get_current_temperature(latitude: float, longitude: float) -> dict - \"Fetch current temperature for given coordinates.\n",
-      "{'latitude': {'title': 'Latitude', 'description': 'Latitude of the location to fetch weather data for', 'type': 'number'}, 'longitude': {'title': 'Longitude', 'description': 'Longitude of the location to fetch weather data for', 'type': 'number'}}\n"
-     ]
-    }
-   ],
-   "source": [
-    "# 工具的名字\n",
-    "print(get_current_temperature.name)\n",
-    "# 工具的功能描述\n",
-    "print(get_current_temperature.description)\n",
-    "# 工具的输入参数\n",
-    "print(get_current_temperature.args)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 38,
-   "id": "122e1ef7",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'name': 'get_current_temperature',\n",
-       " 'description': 'get_current_temperature(latitude: float, longitude: float) -> dict - \"Fetch current temperature for given coordinates.',\n",
-       " 'parameters': {'type': 'object',\n",
-       "  'properties': {'latitude': {'description': 'Latitude of the location to fetch weather data for',\n",
-       "    'type': 'number'},\n",
-       "   'longitude': {'description': 'Longitude of the location to fetch weather data for',\n",
-       "    'type': 'number'}},\n",
-       "  'required': ['latitude', 'longitude']}}"
-      ]
-     },
-     "execution_count": 38,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 导入openai的模板\n",
-    "from langchain.tools.render import format_tool_to_openai_function\n",
-    "\n",
-    "format_tool_to_openai_function(get_current_temperature)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 39,
-   "id": "d4e68f7e",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'The current temperature is 41.4°C'"
-      ]
-     },
-     "execution_count": 39,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "get_current_temperature({\"latitude\": 13, \"longitude\": 14})"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 40,
-   "id": "d7477093",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import wikipedia\n",
-    "\n",
-    "# 定义维基百科搜索的tool\n",
-    "@tool\n",
-    "def search_wikipedia(query: str) -> str:\n",
-    "    \"\"\"Run Wikipedia search and get page summaries.\"\"\"\n",
-    "    page_titles = wikipedia.search(query)\n",
-    "    summaries = []\n",
-    "    for page_title in page_titles[: 3]: #取前三个页面标题\n",
-    "        try:\n",
-    "            #使用 wikipedia 模块的 page 函数，获取指定标题的维基百科页面对象。\n",
-    "            wiki_page =  wikipedia.page(title=page_title, auto_suggest=False) \n",
-    "            # 获取页面摘要\n",
-    "            summaries.append(f\"Page: {page_title}\\nSummary: {wiki_page.summary}\")\n",
-    "        except (\n",
-    "            self.wiki_client.exceptions.PageError,\n",
-    "            self.wiki_client.exceptions.DisambiguationError,\n",
-    "        ):\n",
-    "            pass\n",
-    "    if not summaries:\n",
-    "        return \"No good Wikipedia Search Result was found\"\n",
-    "    return \"\\n\\n\".join(summaries)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 41,
-   "id": "2dd47d14",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'name': 'search_wikipedia',\n",
-       " 'description': 'search_wikipedia(query: str) -> str - Run Wikipedia search and get page summaries.',\n",
-       " 'parameters': {'type': 'object',\n",
-       "  'properties': {'query': {'type': 'string'}},\n",
-       "  'required': ['query']}}"
-      ]
-     },
-     "execution_count": 41,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 将工具格式化为 OpenAI 函数\n",
-    "format_tool_to_openai_function(search_wikipedia)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 46,
-   "id": "5edf4ce8",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "d:\\anaconda\\Lib\\site-packages\\langchain_core\\_api\\deprecation.py:117: LangChainDeprecationWarning: The class `langchain_community.chat_models.openai.ChatOpenAI` was deprecated in langchain-community 0.0.10 and will be removed in 0.2.0. An updated version of the class exists in the langchain-openai package and should be used instead. To use it run `pip install -U langchain-openai` and import as `from langchain_openai import ChatOpenAI`.\n",
-      "  warn_deprecated(\n"
-     ]
-    }
-   ],
-   "source": [
-    "from langchain.chat_models import ChatOpenAI\n",
-    "# 将工具格式化为 OpenAI 函数\n",
-    "functions = [\n",
-    "    format_tool_to_openai_function(f) for f in [\n",
-    "        search_wikipedia, get_current_temperature\n",
-    "    ]\n",
-    "]\n",
-    "model = ChatOpenAI(temperature=0).bind(functions=functions)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 48,
-   "id": "bf91812d",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 使用template构造prompt\n",
-    "from langchain.prompts import ChatPromptTemplate\n",
-    "prompt = ChatPromptTemplate.from_messages([\n",
-    "    (\"system\", \"You are helpful but sassy assistant\"),\n",
-    "    (\"user\", \"{input}\"),\n",
-    "])\n",
-    "\n",
-    "# 创建处理链，将 prompt和model连接起来\n",
-    "chain = prompt | model"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 51,
-   "id": "8fefc329-b270-4ebb-b884-430e4e541e7f",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 导入输出解析的包\n",
-    "from langchain.agents.output_parsers import OpenAIFunctionsAgentOutputParser\n",
-    "\n",
-    "chain = prompt | model | OpenAIFunctionsAgentOutputParser() | route"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 52,
-   "id": "f8ea3f45",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 调用\n",
-    "result = chain.invoke({\"input\": \"what is the weather in sf right now\"})"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 53,
-   "id": "1d772b84",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'The current temperature is 8.8°C'"
-      ]
-     },
-     "execution_count": 53,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "result"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 70,
-   "id": "a353363e-27b8-440f-a8b7-31bc2e861a42",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'Well, hello there! How can I assist you today?'"
-      ]
-     },
-     "execution_count": 70,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 调用并查看结果\n",
-    "chain.invoke({\"input\": \"hi!\"})"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 68,
-   "id": "6c93eb1b-044f-4c52-bcd4-dcd0e01f42e8",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'Page: LangChain\\nSummary: LangChain is a framework designed to simplify the creation of applications using large language models (LLMs). As a language model integration framework, LangChain\\'s use-cases largely overlap with those of language models in general, including document analysis and summarization, chatbots, and code analysis.\\n\\nPage: OpenAI\\nSummary: OpenAI is a U.S. based artificial intelligence (AI) research organization founded in December 2015, researching artificial intelligence with the goal of developing \"safe and beneficial\" artificial general intelligence, which it defines as \"highly autonomous systems that outperform humans at most economically valuable work\".\\nAs one of the leading organizations of the AI spring, it has developed several large language models, advanced image generation models, and previously, released open-source models. Its release of ChatGPT has been credited with starting the AI spring.The organization consists of the non-profit OpenAI, Inc. registered in Delaware and its for-profit subsidiary OpenAI Global, LLC. It was founded by Ilya Sutskever, Greg Brockman, Trevor Blackwell, Vicki Cheung, Andrej Karpathy, Durk Kingma, Jessica Livingston, John Schulman, Pamela Vagata, and Wojciech Zaremba, with Sam Altman and Elon Musk serving as the initial board members. Microsoft provided OpenAI Global LLC with a $1 billion investment in 2019 and a $10 billion investment in 2023, with a significant portion of the investment in the form of computational resources on Microsoft\\'s Azure cloud service.On November 17, 2023, the board removed Altman as CEO, while Brockman was removed as chairman and then resigned as president. Four days later, both returned after negotiations with the board, and most of the board members resigned. The new initial board included former Salesforce co-CEO Bret Taylor as chairman. It was also announced that Microsoft will have a non-voting board seat.\\n\\nPage: DataStax\\nSummary: DataStax, Inc. is a real-time data for AI company based in Santa Clara, California. Its product Astra DB is a cloud database-as-a-service based on Apache Cassandra. DataStax also offers DataStax Enterprise (DSE), an on-premises database built on Apache Cassandra, and Astra Streaming, a messaging and event streaming cloud service based on Apache Pulsar. As of June 2022, the company has roughly 800 customers distributed in over 50 countries.'"
-      ]
-     },
-     "execution_count": 68,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 调用\n",
-    "result = chain.invoke({\"input\": \"langchain?\"})\n",
-    "result"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 80,
-   "id": "b2dcb4b2-0e0d-425b-bff8-db7cd33afa16",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "AIMessage(content='', additional_kwargs={'function_call': {'arguments': '{\"latitude\":37.7749,\"longitude\":-122.4194}', 'name': 'get_current_temperature'}})"
-      ]
-     },
-     "execution_count": 80,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 调用\n",
-    "result = chain.invoke({\"input\": \"What is the weather in san francisco right now?\"})\n",
-    "result"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "139c45e6-65a4-4fcb-a109-e5ba41a80835",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 导入tool包\n",
-    "from langchain.agents import tool"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 49,
-   "id": "7760cfaa",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from langchain.schema.agent import AgentFinish\n",
-    "def route(result):\n",
-    "    if isinstance(result, AgentFinish):\n",
-    "        return result.return_values['output']\n",
-    "    else:\n",
-    "        tools = {\n",
-    "            \"search_wikipedia\": search_wikipedia, \n",
-    "            \"get_current_temperature\": get_current_temperature,\n",
-    "        }\n",
-    "        return tools[result.tool].run(result.tool_input)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 54,
-   "id": "89d8b769",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "chain = prompt | model | OpenAIFunctionsAgentOutputParser() | route"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 55,
-   "id": "67be1657",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'Well, hello there! How can I assist you today?'"
-      ]
-     },
-     "execution_count": 55,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 调用并查看结果\n",
-    "chain.invoke({\"input\": \"hi!\"})"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "e8bcd38a",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 调用\n",
-    "result = chain.invoke({\"input\": \"What is langchain?\"})\n",
-    "result"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 57,
-   "id": "bcabd4a8",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'The current temperature is 8.8°C'"
-      ]
-     },
-     "execution_count": 57,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 调用\n",
-    "result = chain.invoke({\"input\": \"What is the weather in san francisco right now?\"})\n",
-    "result"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.5"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git "a/content/\351\200\211\344\277\256-Functions, Tools and Agents with LangChain/7. \345\257\271\350\257\235\344\273\243\347\220\206 Conversational agent.ipynb" "b/content/\351\200\211\344\277\256-Functions, Tools and Agents with LangChain/7. \345\257\271\350\257\235\344\273\243\347\220\206 Conversational agent.ipynb"
deleted file mode 100644
index 960048ea..00000000
--- "a/content/\351\200\211\344\277\256-Functions, Tools and Agents with LangChain/7. \345\257\271\350\257\235\344\273\243\347\220\206 Conversational agent.ipynb"	
+++ /dev/null
@@ -1,1536 +0,0 @@
-{
- "cells": [
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "id": "79a3f6a4-8348-4cd6-a336-10ecb9cfaaa3",
-   "metadata": {},
-   "source": [
-    "# 对话代理 Conversational agent\n",
-    "\n",
-    " - [一、设置OpenAI API Key](#一、设置OpenAI-API-Key)\n",
-    " - [二、逐步构建Agent](#二、逐步构建Agent)\n",
-    "     - [2.1 定义Tools和Function](##2.1-定义Tools和Function)\n",
-    "     - [2.2 加入中间步骤结果](##2.2-加入中间步骤结果)\n",
-    "     - [2.3 加入对话历史](##2.3-加入对话历史)\n",
-    " - [三、创建对话机器人](#三、创建对话机器人)\n",
-    " - [四、英文版提示](#四、英文版提示)"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "id": "5871cf03",
-   "metadata": {},
-   "source": [
-    "# 一、设置OpenAI-API-Key\n",
-    "\n",
-    "详细内容见`设置OpenAI_API_KEY.ipynb`文件"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "id": "985f0c67",
-   "metadata": {},
-   "source": [
-    "# 二、逐步构建Agent"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "id": "9131b422",
-   "metadata": {},
-   "source": [
-    "## 2.1 定义Tools和Function"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "id": "20f44fbb-6708-4fce-bac4-55dc261e3a2d",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 导入tool包\n",
-    "from langchain.tools import tool"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 31,
-   "id": "aa7406eb-334b-43d0-8110-31656a55b2fd",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 导入所需的库\n",
-    "import requests\n",
-    "from pydantic import BaseModel, Field\n",
-    "import datetime\n",
-    "\n",
-    "# 定义输入格式\n",
-    "class OpenMeteoInput(BaseModel):\n",
-    "    latitude: float = Field(..., description=\"要获取天气数据的位置的纬度\") \n",
-    "    longitude: float = Field(..., description=\"要获取天气数据的位置的经度\") \n",
-    "\n",
-    "# 使用 @tool 装饰器并指定输入格式\n",
-    "@tool(args_schema=OpenMeteoInput)\n",
-    "def get_current_temperature(latitude: float, longitude: float) -> dict:\n",
-    "    \"\"\"\"根据给定的坐标位置获得温度\"\"\"\n",
-    "    \n",
-    "    # Open Meteo API 的URL\n",
-    "    BASE_URL = \"https://api.open-meteo.com/v1/forecast\"\n",
-    "    \n",
-    "    # 请求参数\n",
-    "    params = {\n",
-    "        'latitude': latitude,\n",
-    "        'longitude': longitude,\n",
-    "        'hourly': 'temperature_2m',\n",
-    "        'forecast_days': 1,\n",
-    "    }\n",
-    "\n",
-    "    # 发送 API 请求\n",
-    "    response = requests.get(BASE_URL, params=params)\n",
-    "    \n",
-    "    # 检查响应状态码\n",
-    "    if response.status_code == 200:\n",
-    "        # 解析 JSON 响应\n",
-    "        results = response.json()\n",
-    "    else:\n",
-    "        # 处理请求失败的情况\n",
-    "        raise Exception(f\"API Request failed with status code: {response.status_code}\")\n",
-    "\n",
-    "    # 获取当前 UTC 时间\n",
-    "    current_utc_time = datetime.datetime.utcnow()\n",
-    "    \n",
-    "    # 将时间字符串转换为 datetime 对象\n",
-    "    time_list = [datetime.datetime.fromisoformat(time_str.replace('Z', '+00:00')) for time_str in results['hourly']['time']]\n",
-    "    \n",
-    "    # 获取温度列表\n",
-    "    temperature_list = results['hourly']['temperature_2m']\n",
-    "    \n",
-    "    # 找到最接近当前时间的索引\n",
-    "    closest_time_index = min(range(len(time_list)), key=lambda i: abs(time_list[i] - current_utc_time))\n",
-    "    \n",
-    "    # 获取当前温度\n",
-    "    current_temperature = temperature_list[closest_time_index]\n",
-    "    \n",
-    "    # 返回当前温度的字符串形式\n",
-    "    return f'现在温度是 {current_temperature}°C'\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 32,
-   "id": "3ac0a1e7-567f-4775-a538-351a5ff099e8",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import wikipedia\n",
-    "\n",
-    "# 定义维基百科搜索的tool\n",
-    "@tool\n",
-    "def search_wikipedia(query: str) -> str:\n",
-    "    \"\"\"Run Wikipedia search and get page summaries.\"\"\"\n",
-    "    page_titles = wikipedia.search(query)\n",
-    "    summaries = []\n",
-    "    for page_title in page_titles[: 3]: #取前三个页面标题\n",
-    "        try:\n",
-    "            #使用 wikipedia 模块的 page 函数，获取指定标题的维基百科页面对象。\n",
-    "            wiki_page =  wikipedia.page(title=page_title, auto_suggest=False) \n",
-    "            # 获取页面摘要\n",
-    "            summaries.append(f\"页面: {page_title}\\n摘要: {wiki_page.summary}\")\n",
-    "        except (\n",
-    "            self.wiki_client.exceptions.PageError,\n",
-    "            self.wiki_client.exceptions.DisambiguationError,\n",
-    "        ):\n",
-    "            pass\n",
-    "    if not summaries:\n",
-    "        return \"维基百科没有搜索到合适的结果\"\n",
-    "    return \"\\n\\n\".join(summaries)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 33,
-   "id": "4856d233-0916-4b97-8a7c-b494d5f2b8e0",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 加入tools列表\n",
-    "tools = [get_current_temperature, search_wikipedia]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 34,
-   "id": "cdf0d789-559b-42df-9d6d-77a0cd8888d6",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from langchain.chat_models import ChatOpenAI\n",
-    "from langchain.prompts import ChatPromptTemplate\n",
-    "from langchain.tools.render import format_tool_to_openai_function\n",
-    "from langchain.agents.output_parsers import OpenAIFunctionsAgentOutputParser"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 35,
-   "id": "933ce7cb-099c-4f43-a548-b355a5b66511",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 将工具格式化为 OpenAI 函数\n",
-    "functions = [format_tool_to_openai_function(f) for f in tools]\n",
-    "\n",
-    "# 创建 ChatOpenAI 模型，设置温度为 0，绑定生成的 OpenAI 函数列表\n",
-    "model = ChatOpenAI(temperature=0).bind(functions=functions)\n",
-    "\n",
-    "# 创建 ChatPromptTemplate，从消息模板中获取用户输入\n",
-    "prompt = ChatPromptTemplate.from_messages([\n",
-    "    (\"system\", \"You are helpful but sassy assistant\"),\n",
-    "    (\"user\", \"{input}\"),\n",
-    "])\n",
-    "\n",
-    "# 创建处理链，将 prompt、model 和 OpenAIFunctionsAgentOutputParser 连接起来\n",
-    "chain = prompt | model | OpenAIFunctionsAgentOutputParser()\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 36,
-   "id": "4281a2d8-7884-40e0-b34d-09c39eecbb7a",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 调用\n",
-    "result = chain.invoke({\"input\": \"现在圣佛朗西斯科的温度是多少?\"})"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 37,
-   "id": "b1dbc697-3e0a-4197-8ddc-2894763b4b85",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'get_current_temperature'"
-      ]
-     },
-     "execution_count": 37,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 查看调用的工具\n",
-    "result.tool"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 38,
-   "id": "ab829b59-803f-488f-bcf3-5119c224baa0",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'latitude': 37.7749, 'longitude': -122.4194}"
-      ]
-     },
-     "execution_count": 38,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 查看工具的输入\n",
-    "result.tool_input"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 39,
-   "id": "bc7b379b",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'get_current_temperature'"
-      ]
-     },
-     "execution_count": 39,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "result.tool"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 40,
-   "id": "cd378dff",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'latitude': 37.7749, 'longitude': -122.4194}"
-      ]
-     },
-     "execution_count": 40,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "result.tool_input"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "id": "4a8e21dd",
-   "metadata": {},
-   "source": [
-    "## 2.2 加入中间步骤结果"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 41,
-   "id": "52b4d483-c498-4932-a373-bc2f4da17c7f",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 创建 ChatPromptTemplate，从消息模板中获取用户输入\n",
-    "from langchain.prompts import MessagesPlaceholder\n",
-    "prompt = ChatPromptTemplate.from_messages([\n",
-    "    (\"system\", \"你是一个安全且乐于助人的助手\"),\n",
-    "    (\"user\", \"{input}\"),\n",
-    "    MessagesPlaceholder(variable_name=\"agent_scratchpad\") # 解析和验证关键字参数中的输入数据\n",
-    "])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 42,
-   "id": "66ac6ea2-0e20-424a-ba33-6f8d627379b5",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 创建处理链，将 prompt、model 和 OpenAIFunctionsAgentOutputParser 连接起来\n",
-    "chain = prompt | model | OpenAIFunctionsAgentOutputParser()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 43,
-   "id": "bada1de8-d7c4-4880-98c2-d47cc65f684d",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 调用\n",
-    "result1 = chain.invoke({\n",
-    "    \"input\": \"现在圣佛朗西斯科的温度是多少?\",\n",
-    "    \"agent_scratchpad\": []\n",
-    "})"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 44,
-   "id": "8d5f4e61-36a3-4d80-9c49-0b83cedb1592",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'get_current_temperature'"
-      ]
-     },
-     "execution_count": 44,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 查看调用的工具\n",
-    "result1.tool"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 45,
-   "id": "11845c11-7d41-455a-8ac0-4b8161acaf83",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 获取tool调用的结果\n",
-    "observation = get_current_temperature(result1.tool_input)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 46,
-   "id": "810184c8-8495-4189-b83e-17220cf65bbe",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'现在温度是 9.2°C'"
-      ]
-     },
-     "execution_count": 46,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 查看结果\n",
-    "observation"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 47,
-   "id": "8c1b223d-ea2a-414c-924c-512c4c9da66a",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "langchain_core.agents.AgentActionMessageLog"
-      ]
-     },
-     "execution_count": 47,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 查看输出类型\n",
-    "type(result1)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 48,
-   "id": "61853679-75b5-4462-8059-f1214286a9eb",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from langchain.agents.format_scratchpad import format_to_openai_functions"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 49,
-   "id": "72ca4278-165a-4915-8ec6-09e696f29d86",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[AIMessage(content='', additional_kwargs={'function_call': {'arguments': '{\"latitude\":37.7749,\"longitude\":-122.4194}', 'name': 'get_current_temperature'}})]"
-      ]
-     },
-     "execution_count": 49,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 查看调用日志\n",
-    "result1.message_log"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 50,
-   "id": "27e079a7-d58c-41c0-8762-4e183e72a1d1",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[AIMessage(content='', additional_kwargs={'function_call': {'arguments': '{\"latitude\":37.7749,\"longitude\":-122.4194}', 'name': 'get_current_temperature'}}),\n",
-       " FunctionMessage(content='现在温度是 9.2°C', name='get_current_temperature')]"
-      ]
-     },
-     "execution_count": 50,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 将Function和Tool的结果转换成openai函数格式\n",
-    "format_to_openai_functions([(result1, observation), ])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 51,
-   "id": "09735a9e-452d-472b-a4c0-35c315e9e53f",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 构造成Agent的输入格式，agent_scratchpad是中间步骤的结果\n",
-    "result2 = chain.invoke({\n",
-    "    \"input\": \"现在圣佛朗西斯科的温度是多少?\", \n",
-    "    \"agent_scratchpad\": format_to_openai_functions([(result1, observation)])\n",
-    "})"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 52,
-   "id": "9df61ecc-52fe-4fae-85a2-dbb61d68e2db",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "AgentFinish(return_values={'output': '圣佛朗西斯科现在的温度是9.2°C。'}, log='圣佛朗西斯科现在的温度是9.2°C。')"
-      ]
-     },
-     "execution_count": 52,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 查看Agent的输出结果\n",
-    "result2"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 53,
-   "id": "d9dd139f-e06a-4148-a025-ae100851c63e",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from langchain.schema.agent import AgentFinish\n",
-    "\n",
-    "def run_agent(user_input):\n",
-    "    # 存储中间步骤的列表\n",
-    "    intermediate_steps = []\n",
-    "\n",
-    "    # 循环执行 agent 操作\n",
-    "    while True:\n",
-    "        # 调用处理链的 invoke 方法，传递用户输入和中间步骤的 OpenAI 函数形式\n",
-    "        result = chain.invoke({\n",
-    "            \"input\": user_input,\n",
-    "            \"agent_scratchpad\": format_to_openai_functions(intermediate_steps)\n",
-    "        })\n",
-    "\n",
-    "        # 如果结果是 AgentFinish 类型，则结束运行并返回结果\n",
-    "        if isinstance(result, AgentFinish):\n",
-    "            return result\n",
-    "\n",
-    "        # 根据结果中的工具名称选择相应的工具函数\n",
-    "        tool = {\n",
-    "            \"search_wikipedia\": search_wikipedia,\n",
-    "            \"get_current_temperature\": get_current_temperature,\n",
-    "        }[result.tool]\n",
-    "\n",
-    "        # 运行选定的工具函数，并获取观察结果\n",
-    "        observation = tool.run(result.tool_input)\n",
-    "\n",
-    "        # 将结果和观察结果添加到中间步骤列表\n",
-    "        intermediate_steps.append((result, observation))\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 54,
-   "id": "4f6c1121-70a6-41ae-8c3d-41f7cfc756af",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from langchain.schema.runnable import RunnablePassthrough\n",
-    "\n",
-    "# 创建 RunnablePassthrough，用于将 agent_scratchpad存储的中间步骤结果转换为 OpenAI 函数形式\n",
-    "agent_chain = RunnablePassthrough.assign(\n",
-    "    agent_scratchpad=lambda x: format_to_openai_functions(x[\"intermediate_steps\"])\n",
-    ") | chain\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 55,
-   "id": "4a05df88-4ad9-4c48-a7dd-6b42db91cb33",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 定义一个运行 agent 的函数\n",
-    "def run_agent(user_input):\n",
-    "    # 存储中间步骤的列表\n",
-    "    intermediate_steps = []\n",
-    "\n",
-    "    # 循环执行 agent 操作\n",
-    "    while True:\n",
-    "        # 通过 agent_chain 调用 invoke 方法，传递用户输入和中间步骤的列表\n",
-    "        result = agent_chain.invoke({\n",
-    "            \"input\": user_input,\n",
-    "            \"intermediate_steps\": intermediate_steps\n",
-    "        })\n",
-    "\n",
-    "        # 如果结果是 AgentFinish 类型，则结束循环并返回结果\n",
-    "        if isinstance(result, AgentFinish):\n",
-    "            return result\n",
-    "\n",
-    "        # 根据结果中的工具名称选择相应的工具函数\n",
-    "        tool = {\n",
-    "            \"search_wikipedia\": search_wikipedia,\n",
-    "            \"get_current_temperature\": get_current_temperature,\n",
-    "        }[result.tool]\n",
-    "\n",
-    "        # 运行选定的工具函数，并获取观察结果\n",
-    "        observation = tool.run(result.tool_input)\n",
-    "\n",
-    "        # 将结果和观察结果添加到中间步骤列表\n",
-    "        intermediate_steps.append((result, observation))\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 56,
-   "id": "23417203",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "AgentFinish(return_values={'output': '圣弗朗西斯科现在的温度是9.2°C。'}, log='圣弗朗西斯科现在的温度是9.2°C。')"
-      ]
-     },
-     "execution_count": 56,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "run_agent(\"圣弗朗西斯科的温度是多少？\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 33,
-   "id": "d96a0838",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "AgentFinish(return_values={'output': 'LangChain是一个旨在简化使用大型语言模型（LLMs）创建应用程序的框架。作为一个语言模型集成框架，LangChain的用例主要涵盖了文档分析和摘要、聊天机器人以及代码分析等领域。'}, log='LangChain是一个旨在简化使用大型语言模型（LLMs）创建应用程序的框架。作为一个语言模型集成框架，LangChain的用例主要涵盖了文档分析和摘要、聊天机器人以及代码分析等领域。')"
-      ]
-     },
-     "execution_count": 33,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "run_agent(\"什么是langchain?\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 35,
-   "id": "267d33eb",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "AgentFinish(return_values={'output': '你好！有什么可以帮助你的吗？'}, log='你好！有什么可以帮助你的吗？')"
-      ]
-     },
-     "execution_count": 35,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "run_agent(\"你好！\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 57,
-   "id": "b270a064-8cf1-44da-a59e-be622f9099b9",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 使用AgentExecutor对agent进行封装\n",
-    "from langchain.agents import AgentExecutor\n",
-    "agent_executor = AgentExecutor(agent=agent_chain, tools=tools, verbose=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 38,
-   "id": "e52292b2",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n",
-      "\n",
-      "\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
-      "\u001b[32;1m\u001b[1;3m\n",
-      "Invoking: `search_wikipedia` with `{'query': 'Langchain'}`\n",
-      "\n",
-      "\n",
-      "\u001b[0m\u001b[33;1m\u001b[1;3mPage: LangChain\n",
-      "Summary: LangChain is a framework designed to simplify the creation of applications using large language models (LLMs). As a language model integration framework, LangChain's use-cases largely overlap with those of language models in general, including document analysis and summarization, chatbots, and code analysis.\n",
-      "\n",
-      "Page: OpenAI\n",
-      "Summary: OpenAI is a U.S. based artificial intelligence (AI) research organization founded in December 2015, researching artificial intelligence with the goal of developing \"safe and beneficial\" artificial general intelligence, which it defines as \"highly autonomous systems that outperform humans at most economically valuable work\".\n",
-      "As one of the leading organizations of the AI spring, it has developed several large language models, advanced image generation models, and previously, released open-source models. Its release of ChatGPT has been credited with starting the AI spring.The organization consists of the non-profit OpenAI, Inc. registered in Delaware and its for-profit subsidiary OpenAI Global, LLC. It was founded by Ilya Sutskever, Greg Brockman, Trevor Blackwell, Vicki Cheung, Andrej Karpathy, Durk Kingma, Jessica Livingston, John Schulman, Pamela Vagata, and Wojciech Zaremba, with Sam Altman and Elon Musk serving as the initial board members. Microsoft provided OpenAI Global LLC with a $1 billion investment in 2019 and a $10 billion investment in 2023, with a significant portion of the investment in the form of computational resources on Microsoft's Azure cloud service.On November 17, 2023, the board removed Altman as CEO, while Brockman was removed as chairman and then resigned as president. Four days later, both returned after negotiations with the board, and most of the board members resigned. The new initial board included former Salesforce co-CEO Bret Taylor as chairman. It was also announced that Microsoft will have a non-voting board seat.\n",
-      "\n",
-      "Page: DataStax\n",
-      "Summary: DataStax, Inc. is a real-time data for AI company based in Santa Clara, California. Its product Astra DB is a cloud database-as-a-service based on Apache Cassandra. DataStax also offers DataStax Enterprise (DSE), an on-premises database built on Apache Cassandra, and Astra Streaming, a messaging and event streaming cloud service based on Apache Pulsar. As of June 2022, the company has roughly 800 customers distributed in over 50 countries.\u001b[0m\u001b[32;1m\u001b[1;3mLangChain 是一个旨在简化使用大型语言模型（LLMs）创建应用程序的框架。作为一个语言模型集成框架，LangChain 的用例主要涵盖了文档分析和摘要、聊天机器人以及代码分析等领域。\u001b[0m\n",
-      "\n",
-      "\u001b[1m> Finished chain.\u001b[0m\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "{'input': '什么是langchain?',\n",
-       " 'output': 'LangChain 是一个旨在简化使用大型语言模型（LLMs）创建应用程序的框架。作为一个语言模型集成框架，LangChain 的用例主要涵盖了文档分析和摘要、聊天机器人以及代码分析等领域。'}"
-      ]
-     },
-     "execution_count": 38,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "agent_executor.invoke({\"input\": \"什么是langchain?\"})"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 40,
-   "id": "5ca7b010",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n",
-      "\n",
-      "\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
-      "\u001b[32;1m\u001b[1;3m你好，Bob！有什么可以帮助你的吗？\u001b[0m\n",
-      "\n",
-      "\u001b[1m> Finished chain.\u001b[0m\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "{'input': '我的名字是bob', 'output': '你好，Bob！有什么可以帮助你的吗？'}"
-      ]
-     },
-     "execution_count": 40,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "agent_executor.invoke({\"input\": \"我的名字是bob\"})"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 42,
-   "id": "ee259c12",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n",
-      "\n",
-      "\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
-      "\u001b[32;1m\u001b[1;3m你的名字是用户。\u001b[0m\n",
-      "\n",
-      "\u001b[1m> Finished chain.\u001b[0m\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "{'input': '我的名字是什么？', 'output': '你的名字是用户。'}"
-      ]
-     },
-     "execution_count": 42,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "agent_executor.invoke({\"input\": \"我的名字是什么？\"})"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "id": "4d180426",
-   "metadata": {},
-   "source": [
-    "## 3.3 加入对话历史"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 62,
-   "id": "7d1df28a-27da-4f8e-ab03-a37a276db74f",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 加入用户的对话历史\n",
-    "prompt = ChatPromptTemplate.from_messages([\n",
-    "    (\"system\", \"You are helpful but sassy assistant\"),\n",
-    "    MessagesPlaceholder(variable_name=\"chat_history\"),\n",
-    "    (\"user\", \"{input}\"),\n",
-    "    MessagesPlaceholder(variable_name=\"agent_scratchpad\")\n",
-    "])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 63,
-   "id": "a8598e87-de8a-4710-a90e-2a919adc00e2",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 构造agent的处理链\n",
-    "agent_chain = RunnablePassthrough.assign(\n",
-    "    agent_scratchpad= lambda x: format_to_openai_functions(x[\"intermediate_steps\"])\n",
-    ") | prompt | model | OpenAIFunctionsAgentOutputParser()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 64,
-   "id": "a3865c2c-cb80-4341-bcbe-3b5150749622",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 加入对话记忆模块\n",
-    "from langchain.memory import ConversationBufferMemory\n",
-    "memory = ConversationBufferMemory(return_messages=True,memory_key=\"chat_history\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 65,
-   "id": "40b036fc-446f-4075-9a92-9a4bac6ecb2b",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 封装AgentExecutor\n",
-    "agent_executor = AgentExecutor(agent=agent_chain, tools=tools, verbose=True, memory=memory)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 48,
-   "id": "bad2f24b",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n",
-      "\n",
-      "\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
-      "\u001b[32;1m\u001b[1;3mNice to meet you, Bob! How can I assist you today?\u001b[0m\n",
-      "\n",
-      "\u001b[1m> Finished chain.\u001b[0m\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "{'input': '我的名字是bob',\n",
-       " 'chat_history': [HumanMessage(content='my name is bob'),\n",
-       "  AIMessage(content='Nice to meet you, Bob! How can I assist you today?'),\n",
-       "  HumanMessage(content='我的名字是bob'),\n",
-       "  AIMessage(content='Nice to meet you, Bob! How can I assist you today?')],\n",
-       " 'output': 'Nice to meet you, Bob! How can I assist you today?'}"
-      ]
-     },
-     "execution_count": 48,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "agent_executor.invoke({\"input\": \"我的名字是bob\"})"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 50,
-   "id": "c7c51371",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n",
-      "\n",
-      "\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
-      "\u001b[32;1m\u001b[1;3m你的名字是 Bob。有什么我可以帮助你的吗？\u001b[0m\n",
-      "\n",
-      "\u001b[1m> Finished chain.\u001b[0m\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "{'input': '我的名字是什么？',\n",
-       " 'chat_history': [HumanMessage(content='my name is bob'),\n",
-       "  AIMessage(content='Nice to meet you, Bob! How can I assist you today?'),\n",
-       "  HumanMessage(content='我的名字是bob'),\n",
-       "  AIMessage(content='Nice to meet you, Bob! How can I assist you today?'),\n",
-       "  HumanMessage(content='whats my name'),\n",
-       "  AIMessage(content='Your name is Bob. How can I assist you today, Bob?'),\n",
-       "  HumanMessage(content='我的名字是什么？'),\n",
-       "  AIMessage(content='你的名字是 Bob。有什么我可以帮助你的吗？')],\n",
-       " 'output': '你的名字是 Bob。有什么我可以帮助你的吗？'}"
-      ]
-     },
-     "execution_count": 50,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "agent_executor.invoke({\"input\": \"我的名字是什么？\"})"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 52,
-   "id": "efadf455",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n",
-      "\n",
-      "\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
-      "\u001b[32;1m\u001b[1;3m\n",
-      "Invoking: `get_current_temperature` with `{'latitude': 37.7749, 'longitude': -122.4194}`\n",
-      "\n",
-      "\n",
-      "\u001b[0m\u001b[36;1m\u001b[1;3mThe current temperature is 9.1°C\u001b[0m\u001b[32;1m\u001b[1;3mThe current temperature in San Francisco is 9.1°C. Is there anything else you would like to know?\u001b[0m\n",
-      "\n",
-      "\u001b[1m> Finished chain.\u001b[0m\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "{'input': '圣弗朗西斯科现在的温度是多少？',\n",
-       " 'chat_history': [HumanMessage(content='my name is bob'),\n",
-       "  AIMessage(content='Nice to meet you, Bob! How can I assist you today?'),\n",
-       "  HumanMessage(content='我的名字是bob'),\n",
-       "  AIMessage(content='Nice to meet you, Bob! How can I assist you today?'),\n",
-       "  HumanMessage(content='whats my name'),\n",
-       "  AIMessage(content='Your name is Bob. How can I assist you today, Bob?'),\n",
-       "  HumanMessage(content='我的名字是什么？'),\n",
-       "  AIMessage(content='你的名字是 Bob。有什么我可以帮助你的吗？'),\n",
-       "  HumanMessage(content='whats the weather in sf?'),\n",
-       "  AIMessage(content='The current temperature in San Francisco is 9.1°C. Is there anything else you would like to know?'),\n",
-       "  HumanMessage(content='圣弗朗西斯科现在的温度是多少？'),\n",
-       "  AIMessage(content='The current temperature in San Francisco is 9.1°C. Is there anything else you would like to know?')],\n",
-       " 'output': 'The current temperature in San Francisco is 9.1°C. Is there anything else you would like to know?'}"
-      ]
-     },
-     "execution_count": 52,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "agent_executor.invoke({\"input\": \"圣弗朗西斯科现在的温度是多少？\"})"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "id": "34b0b511-21d6-4c7e-b4e2-f886bc296997",
-   "metadata": {},
-   "source": [
-    "# 三、 创建对话机器人"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 58,
-   "id": "b1cd4bd2-703e-4e4e-8f5c-ae3d491a41f6",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 自定义的工具（自由发挥）\n",
-    "@tool\n",
-    "def create_your_own(query: str) -> str:\n",
-    "    \"\"\"可以自定义的功能函数 \"\"\"\n",
-    "    print(type(query))\n",
-    "    return query[::-1]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 59,
-   "id": "67cb6fdc-ff55-4a7b-8a39-1871006aa990",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 将之前定义的工具加入工具列表\n",
-    "tools = [get_current_temperature, search_wikipedia, create_your_own]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 60,
-   "id": "66a73e69-acfb-471e-b54d-8ac586235521",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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i < links.length; i++) {\n      var link = links[i]\n      if (link.href != null) {\n\texisting_stylesheets.push(link.href)\n      }\n    }\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      if (existing_stylesheets.indexOf(url) !== -1) {\n\ton_load()\n\tcontinue;\n      }\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }    if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n      var urls = ['https://cdn.holoviz.org/panel/1.3.8/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.3.8/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.3.8/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.3.8/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.3.8/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.3.8/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.3.8/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];\n      for (var i = 0; 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i++) {\n      var url = js_urls[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (var i = 0; i < js_modules.length; i++) {\n      var url = js_modules[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (const name in js_exports) {\n      var url = js_exports[name];\n      if (skip.indexOf(url) >= 0 || root[name] != null) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onerror = on_error;\n      element.async = false;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      element.textContent = `\n      import ${name} from \"${url}\"\n      window.${name} = ${name}\n      window._bokeh_on_load()\n      `\n      document.head.appendChild(element);\n    }\n    if (!js_urls.length && !js_modules.length) {\n      on_load()\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.3.4.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.3.4.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.3.4.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.3.4.min.js\", \"https://cdn.holoviz.org/panel/1.3.8/dist/panel.min.js\"];\n  var js_modules = [];\n  var js_exports = {};\n  var css_urls = [];\n  var inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n  ];\n\n  function run_inline_js() {\n    if ((root.Bokeh !== undefined) || (force === true)) {\n      for (var i = 0; i < inline_js.length; i++) {\n\ttry {\n          inline_js[i].call(root, root.Bokeh);\n\t} catch(e) {\n\t  if (!reloading) {\n\t    throw e;\n\t  }\n\t}\n      }\n      // Cache old bokeh versions\n      if (Bokeh != undefined && !reloading) {\n\tvar NewBokeh = root.Bokeh;\n\tif (Bokeh.versions === undefined) {\n\t  Bokeh.versions = new Map();\n\t}\n\tif (NewBokeh.version !== Bokeh.version) {\n\t  Bokeh.versions.set(NewBokeh.version, NewBokeh)\n\t}\n\troot.Bokeh = Bokeh;\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    }\n    root._bokeh_is_initializing = false\n  }\n\n  function load_or_wait() {\n    // Implement a backoff loop that tries to ensure we do not load multiple\n    // versions of Bokeh and its dependencies at the same time.\n    // In recent versions we use the root._bokeh_is_initializing flag\n    // to determine whether there is an ongoing attempt to initialize\n    // bokeh, however for backward compatibility we also try to ensure\n    // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n    // before older versions are fully initialized.\n    if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n      root._bokeh_is_initializing = false;\n      root._bokeh_onload_callbacks = undefined;\n      console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n      load_or_wait();\n    } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n      setTimeout(load_or_wait, 100);\n    } else {\n      root._bokeh_is_initializing = true\n      root._bokeh_onload_callbacks = []\n      var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n      if (!reloading && !bokeh_loaded) {\n\troot.Bokeh = undefined;\n      }\n      load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n\trun_inline_js();\n      });\n    }\n  }\n  // Give older versions of the autoload script a head-start to ensure\n  // they initialize before we start loading newer version.\n  setTimeout(load_or_wait, 100)\n}(window));",
-      "application/vnd.holoviews_load.v0+json": ""
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/javascript": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n  window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n    function JupyterCommManager() {\n    }\n\n    JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n      if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        comm_manager.register_target(comm_id, function(comm) {\n          comm.on_msg(msg_handler);\n        });\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n          comm.onMsg = msg_handler;\n        });\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        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((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n        if (msg_handler) {\n          comm.on_msg(msg_handler);\n        }\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n        comm.open();\n        if (msg_handler) {\n          comm.onMsg = msg_handler;\n        }\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        var comm_promise = google.colab.kernel.comms.open(comm_id)\n        comm_promise.then((comm) => {\n          window.PyViz.comms[comm_id] = comm;\n          if (msg_handler) {\n            var messages = comm.messages[Symbol.asyncIterator]();\n            function processIteratorResult(result) {\n              var message = 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-       "  var render_items = [{\"docid\":\"c8a49e97-847b-46f3-a3ee-b6791586b314\",\"roots\":{\"8adb6c88-f2a0-4849-bc77-2c32deb30834\":\"f7a6a433-cbf6-4def-b3ec-fba7e8b11da1\"},\"root_ids\":[\"8adb6c88-f2a0-4849-bc77-2c32deb30834\"]}];\n",
-       "  var docs = Object.values(docs_json)\n",
-       "  if (!docs) {\n",
-       "    return\n",
-       "  }\n",
-       "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
-       "  function embed_document(root) {\n",
-       "    var Bokeh = get_bokeh(root)\n",
-       "    Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
-       "    for (const render_item of render_items) {\n",
-       "      for (const root_id of render_item.root_ids) {\n",
-       "\tconst id_el = document.getElementById(root_id)\n",
-       "\tif (id_el.children.length && (id_el.children[0].className === 'bk-root')) {\n",
-       "\t  const root_el = id_el.children[0]\n",
-       "\t  root_el.id = root_el.id + '-rendered'\n",
-       "\t}\n",
-       "      }\n",
-       "    }\n",
-       "  }\n",
-       "  function get_bokeh(root) {\n",
-       "    if (root.Bokeh === undefined) {\n",
-       "      return null\n",
-       "    } else if (root.Bokeh.version !== py_version) {\n",
-       "      if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {\n",
-       "\treturn null\n",
-       "      }\n",
-       "      return root.Bokeh.versions.get(py_version);\n",
-       "    } else if (root.Bokeh.version === py_version) {\n",
-       "      return root.Bokeh\n",
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-       "    return null\n",
-       "  }\n",
-       "  function is_loaded(root) {\n",
-       "    var Bokeh = get_bokeh(root)\n",
-       "    return (Bokeh != null && Bokeh.Panel !== undefined)\n",
-       "  }\n",
-       "  if (is_loaded(root)) {\n",
-       "    embed_document(root);\n",
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-       "        clearInterval(timer);\n",
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-       "\t  } else {\n",
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-       "\t    embed_document(root)\n",
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-      }
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "import panel as pn  # GUI\n",
-    "pn.extension()\n",
-    "import panel as pn\n",
-    "import param\n",
-    "\n",
-    "# 定义 cbfs 类\n",
-    "class cbfs(param.Parameterized):\n",
-    "    \n",
-    "    # 初始化函数\n",
-    "    def __init__(self, tools, **params):\n",
-    "        super(cbfs, self).__init__(**params)\n",
-    "        self.panels = []  # 存储 GUI 面板\n",
-    "        self.functions = [format_tool_to_openai_function(f) for f in tools]  # 将tools格式化为 OpenAI 函数\n",
-    "        self.model = ChatOpenAI(temperature=0).bind(functions=self.functions)  # 创建 ChatOpenAI 模型\n",
-    "        self.memory = ConversationBufferMemory(return_messages=True, memory_key=\"chat_history\")  # 创建 ConversationBufferMemory\n",
-    "        self.prompt = ChatPromptTemplate.from_messages([\n",
-    "            (\"system\", \"You are helpful but sassy assistant\"),\n",
-    "            MessagesPlaceholder(variable_name=\"chat_history\"),\n",
-    "            (\"user\", \"{input}\"),\n",
-    "            MessagesPlaceholder(variable_name=\"agent_scratchpad\")\n",
-    "        ])  # 创建 ChatPromptTemplate\n",
-    "        self.chain = RunnablePassthrough.assign(\n",
-    "            agent_scratchpad=lambda x: format_to_openai_functions(x[\"intermediate_steps\"])\n",
-    "        ) | self.prompt | self.model | OpenAIFunctionsAgentOutputParser()  # 创建处理链\n",
-    "        self.qa = AgentExecutor(agent=self.chain, tools=tools, verbose=False, memory=self.memory)  # 创建 AgentExecutor\n",
-    "    \n",
-    "    # 对话链函数\n",
-    "    def convchain(self, query):\n",
-    "        if not query:\n",
-    "            return\n",
-    "        inp.value = ''\n",
-    "        result = self.qa.invoke({\"input\": query})\n",
-    "        self.answer = result['output']\n",
-    "        self.panels.extend([\n",
-    "            pn.Row('User:', pn.pane.Markdown(query, width=450)),\n",
-    "            pn.Row('ChatBot:', pn.pane.Markdown(self.answer, width=450, styles={'background-color': '#F6F6F6'}))\n",
-    "        ])\n",
-    "        return pn.WidgetBox(*self.panels, scroll=True)\n",
-    "\n",
-    "    # 清除历史记录函数\n",
-    "    def clr_history(self, count=0):\n",
-    "        self.chat_history = []\n",
-    "        return\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 67,
-   "id": "080c3827-87fc-4dbe-a566-ca95b3f9068e",
-   "metadata": {},
-   "outputs": [
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-       "  var render_items = [{\"docid\":\"076bcfdd-be8a-4a4b-ac5a-c9946e6a9b97\",\"roots\":{\"255ca157-fe34-446c-a413-5d513fdd9acf\":\"dc2d496c-d5f7-4211-b406-3e97521f0e3f\"},\"root_ids\":[\"255ca157-fe34-446c-a413-5d513fdd9acf\"]}];\n",
-       "  var docs = Object.values(docs_json)\n",
-       "  if (!docs) {\n",
-       "    return\n",
-       "  }\n",
-       "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
-       "  function embed_document(root) {\n",
-       "    var Bokeh = get_bokeh(root)\n",
-       "    Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
-       "    for (const render_item of render_items) {\n",
-       "      for (const root_id of render_item.root_ids) {\n",
-       "\tconst id_el = document.getElementById(root_id)\n",
-       "\tif (id_el.children.length && (id_el.children[0].className === 'bk-root')) {\n",
-       "\t  const root_el = id_el.children[0]\n",
-       "\t  root_el.id = root_el.id + '-rendered'\n",
-       "\t}\n",
-       "      }\n",
-       "    }\n",
-       "  }\n",
-       "  function get_bokeh(root) {\n",
-       "    if (root.Bokeh === undefined) {\n",
-       "      return null\n",
-       "    } else if (root.Bokeh.version !== py_version) {\n",
-       "      if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {\n",
-       "\treturn null\n",
-       "      }\n",
-       "      return root.Bokeh.versions.get(py_version);\n",
-       "    } else if (root.Bokeh.version === py_version) {\n",
-       "      return root.Bokeh\n",
-       "    }\n",
-       "    return null\n",
-       "  }\n",
-       "  function is_loaded(root) {\n",
-       "    var Bokeh = get_bokeh(root)\n",
-       "    return (Bokeh != null && Bokeh.Panel !== undefined)\n",
-       "  }\n",
-       "  if (is_loaded(root)) {\n",
-       "    embed_document(root);\n",
-       "  } else {\n",
-       "    var attempts = 0;\n",
-       "    var timer = setInterval(function(root) {\n",
-       "      if (is_loaded(root)) {\n",
-       "        clearInterval(timer);\n",
-       "        embed_document(root);\n",
-       "      } else if (document.readyState == \"complete\") {\n",
-       "        attempts++;\n",
-       "        if (attempts > 200) {\n",
-       "          clearInterval(timer);\n",
-       "\t  var Bokeh = get_bokeh(root)\n",
-       "\t  if (Bokeh == null || Bokeh.Panel == null) {\n",
-       "            console.warn(\"Panel: ERROR: Unable to run Panel code because Bokeh or Panel library is missing\");\n",
-       "\t  } else {\n",
-       "\t    console.warn(\"Panel: WARNING: Attempting to render but not all required libraries could be resolved.\")\n",
-       "\t    embed_document(root)\n",
-       "\t  }\n",
-       "        }\n",
-       "      }\n",
-       "    }, 25, root)\n",
-       "  }\n",
-       "})(window);</script>"
-      ],
-      "text/plain": [
-       "Column\n",
-       "    [0] Row\n",
-       "        [0] Markdown(str)\n",
-       "    [1] Tabs\n",
-       "        [0] Column\n",
-       "            [0] Row\n",
-       "                [0] TextInput(placeholder='请输入文本...')\n",
-       "            [1] Divider()\n",
-       "            [2] ParamFunction(function, _pane=Str, defer_load=False, height=400, loading_indicator=True)\n",
-       "            [3] Divider()"
-      ]
-     },
-     "execution_count": 67,
-     "metadata": {
-      "application/vnd.holoviews_exec.v0+json": {
-       "id": "255ca157-fe34-446c-a413-5d513fdd9acf"
-      }
-     },
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 创建 cbfs 对象，传递工具列表\n",
-    "cb = cbfs(tools)\n",
-    "\n",
-    "# 创建文本输入框组件\n",
-    "inp = pn.widgets.TextInput(placeholder='请输入文本...')\n",
-    "\n",
-    "# 将 convchain 方法与输入框进行绑定，形成对话链\n",
-    "conversation = pn.bind(cb.convchain, inp) \n",
-    "\n",
-    "# 创建第一个选项卡组件\n",
-    "tab1 = pn.Column(\n",
-    "    pn.Row(inp),  # 显示文本输入框\n",
-    "    pn.layout.Divider(),\n",
-    "    pn.panel(conversation, loading_indicator=True, height=400),  # 显示对话链面板\n",
-    "    pn.layout.Divider(),\n",
-    ")\n",
-    "\n",
-    "# 创建仪表板，包含标题和选项卡\n",
-    "dashboard = pn.Column(\n",
-    "    pn.Row(pn.pane.Markdown('# 对话机器人')),  # 显示标题\n",
-    "    pn.Tabs(('发送', tab1))  # 创建选项卡\n",
-    ")\n",
-    "\n",
-    "# 显示仪表板\n",
-    "dashboard\n"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "id": "52ab4b61",
-   "metadata": {},
-   "source": [
-    "聊天机器人效果展示如下：\n",
-    "\n",
-    "![](../../figures/chat_bot.png)"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "id": "41804e2f-4dc1-4763-8893-5e76ab5d8f14",
-   "metadata": {},
-   "source": [
-    "# 四、英文版提示\n",
-    "\n",
-    "总结一下构建对话机器人的流程：\n",
-    "\n",
-    "定义tools和functions --> 构建模型 --> 加入中间步骤结果 --> 加入记忆机制 --> 交互界面  "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 47,
-   "id": "6298c92f",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "prompt = ChatPromptTemplate.from_messages([\n",
-    "    (\"system\", \"You are helpful but sassy assistant\"),\n",
-    "    MessagesPlaceholder(variable_name=\"chat_history\"),\n",
-    "    (\"user\", \"{input}\"),\n",
-    "    MessagesPlaceholder(variable_name=\"agent_scratchpad\")\n",
-    "])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 48,
-   "id": "4d305357",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 构造agent的处理链\n",
-    "agent_chain = RunnablePassthrough.assign(\n",
-    "    agent_scratchpad= lambda x: format_to_openai_functions(x[\"intermediate_steps\"])\n",
-    ") | prompt | model | OpenAIFunctionsAgentOutputParser()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 49,
-   "id": "fee7e9f6",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 加入对话记忆模块\n",
-    "from langchain.memory import ConversationBufferMemory\n",
-    "memory = ConversationBufferMemory(return_messages=True,memory_key=\"chat_history\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 50,
-   "id": "952356fc",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 封装AgentExecutor\n",
-    "agent_executor = AgentExecutor(agent=agent_chain, tools=tools, verbose=True, memory=memory)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 51,
-   "id": "41b541a4",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n",
-      "\n",
-      "\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
-      "\u001b[32;1m\u001b[1;3mNice to meet you, Bob! How can I assist you today?\u001b[0m\n",
-      "\n",
-      "\u001b[1m> Finished chain.\u001b[0m\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "{'input': 'my name is bob',\n",
-       " 'chat_history': [HumanMessage(content='my name is bob'),\n",
-       "  AIMessage(content='Nice to meet you, Bob! How can I assist you today?')],\n",
-       " 'output': 'Nice to meet you, Bob! How can I assist you today?'}"
-      ]
-     },
-     "execution_count": 51,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "agent_executor.invoke({\"input\": \"my name is bob\"})"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 52,
-   "id": "31c73aec",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n",
-      "\n",
-      "\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
-      "\u001b[32;1m\u001b[1;3mYour name is Bob. How can I assist you today, Bob?\u001b[0m\n",
-      "\n",
-      "\u001b[1m> Finished chain.\u001b[0m\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "{'input': 'what is my name',\n",
-       " 'chat_history': [HumanMessage(content='my name is bob'),\n",
-       "  AIMessage(content='Nice to meet you, Bob! How can I assist you today?'),\n",
-       "  HumanMessage(content='what is my name'),\n",
-       "  AIMessage(content='Your name is Bob. How can I assist you today, Bob?')],\n",
-       " 'output': 'Your name is Bob. How can I assist you today, Bob?'}"
-      ]
-     },
-     "execution_count": 52,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "agent_executor.invoke({\"input\": \"what is my name\"})"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 53,
-   "id": "022675d2",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n",
-      "\n",
-      "\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
-      "\u001b[32;1m\u001b[1;3m\n",
-      "Invoking: `get_current_temperature` with `{'latitude': 37.7749, 'longitude': -122.4194}`\n",
-      "\n",
-      "\n",
-      "\u001b[0m\u001b[36;1m\u001b[1;3m现在温度是 9.5°C\u001b[0m\u001b[32;1m\u001b[1;3mThe current temperature in San Francisco is 9.5°C.\u001b[0m\n",
-      "\n",
-      "\u001b[1m> Finished chain.\u001b[0m\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "{'input': 'whats the weather in sf?',\n",
-       " 'chat_history': [HumanMessage(content='my name is bob'),\n",
-       "  AIMessage(content='Nice to meet you, Bob! How can I assist you today?'),\n",
-       "  HumanMessage(content='what is my name'),\n",
-       "  AIMessage(content='Your name is Bob. How can I assist you today, Bob?'),\n",
-       "  HumanMessage(content='whats the weather in sf?'),\n",
-       "  AIMessage(content='The current temperature in San Francisco is 9.5°C.')],\n",
-       " 'output': 'The current temperature in San Francisco is 9.5°C.'}"
-      ]
-     },
-     "execution_count": 53,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "agent_executor.invoke({\"input\": \"whats the weather in sf?\"})"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.5"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git "a/content/\351\200\211\344\277\256-Functions, Tools and Agents with LangChain/8. \346\200\273\347\273\223 Conclusion.md" "b/content/\351\200\211\344\277\256-Functions, Tools and Agents with LangChain/8. \346\200\273\347\273\223 Conclusion.md"
deleted file mode 100644
index 22cd4891..00000000
--- "a/content/\351\200\211\344\277\256-Functions, Tools and Agents with LangChain/8. \346\200\273\347\273\223 Conclusion.md"	
+++ /dev/null
@@ -1,10 +0,0 @@
-# 第八章 总结 
-
-随着时代的发展，本次课程带来了AI领域最新的进展和功能，即 OpenAI 函数调用和 LangChain 的表达式语言。
-
-我们对如何把它们用于结构化数据提取，以及灵活运用和选择工具的技巧也进行了深入探讨。
-
-最后，实践出真知，我们通过构建一个会话代理将所有内容整合在一起，实践了所学的技术。
-
-现在，我们已经掌握了这样的技术啦！唯一需要做的就是走向现实世界，将它们运用到你的实际场景中，掀起一番新的浪潮！ 🌊✨
-
diff --git "a/content/\351\200\211\344\277\256-Functions, Tools and Agents with LangChain/readme.md" "b/content/\351\200\211\344\277\256-Functions, Tools and Agents with LangChain/readme.md"
deleted file mode 100644
index a118315d..00000000
--- "a/content/\351\200\211\344\277\256-Functions, Tools and Agents with LangChain/readme.md"	
+++ /dev/null
@@ -1,14 +0,0 @@
-# LangChain 的 Functions、Tools 和 Agents
-
-**目录：**
-
-1. 简介 Introduction @张恺俊
-2. OpenAI 函数调用 OpenAI Function Calling @张恺俊
-3. LangChain 表达式语言 ICEL @张恺俊
-4. 在 LangChain 中调用 OpenAI Function Calling @张晋
-5. 标记和提取 Tagging and Extraction @张晋
-6. 工具和路由 Tools and Routing @张银晗
-7. 对话代理 Conversational Agent @张银晗
-8. 总结 Conclusion @张恺俊
-
-
diff --git "a/content/\351\200\211\344\277\256-Functions, Tools and Agents with LangChain/\350\256\276\347\275\256OpenAI_API_KEY.ipynb" "b/content/\351\200\211\344\277\256-Functions, Tools and Agents with LangChain/\350\256\276\347\275\256OpenAI_API_KEY.ipynb"
deleted file mode 100644
index c5180130..00000000
--- "a/content/\351\200\211\344\277\256-Functions, Tools and Agents with LangChain/\350\256\276\347\275\256OpenAI_API_KEY.ipynb"	
+++ /dev/null
@@ -1,67 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# 一、设置OpenAI-API-Key\n",
-    "\n",
-    "登陆 [OpenAI 账户](https://platform.openai.com/account/api-keys) 获取API Key，然后将其设置为环境变量。\n",
-    "\n",
-    "- 如果你想要设置为全局环境变量，可以参考[知乎文章](https://zhuanlan.zhihu.com/p/627665725)。\n",
-    "- 如果你想要设置为本地/项目环境变量，在本文件目录下创建`.env`文件, 打开文件输入以下内容。\n",
-    "\n",
-    "    <p style=\"font-family:verdana; font-size:12px;color:green\">\n",
-    "    OPENAI_API_KEY=\"your_api_key\" \n",
-    "    </p>\n",
-    "  \n",
-    "  替换\"your_api_key\"为你自己的 API Key"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 下载需要的包python-dotenv和openai\n",
-    "# 如果你需要查看安装过程日志，可删除 -q\n",
-    "!pip install -q python-dotenv\n",
-    "!pip install -q openai"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import os\n",
-    "import openai\n",
-    "from dotenv import load_dotenv, find_dotenv"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "\"\"\"\n",
-    "1.find_dotenv()寻找并定位.env文件的路径\n",
-    "2.load_dotenv()读取该.env文件，并将其中的环境变量加载到当前的运行环境中\n",
-    "3.如果你设置的是全局的环境变量，这行代码则没有任何作用\n",
-    "\"\"\"\n",
-    "_ = load_dotenv(find_dotenv()) \n",
-    "openai.api_key = os.environ['OPENAI_API_KEY']"
-   ]
-  }
- ],
- "metadata": {
-  "language_info": {
-   "name": "python"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git "a/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/1. \344\273\213\347\273\215 Introduction.ipynb" "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/1. \344\273\213\347\273\215 Introduction.ipynb"
new file mode 100644
index 00000000..8615b2a3
--- /dev/null
+++ "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/1. \344\273\213\347\273\215 Introduction.ipynb"	
@@ -0,0 +1,26 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# 第一章 介绍 Introduction\n",
+    "\n",
+    "我们设计的本课程旨在帮助开发者学会如何预处理用于 LLM 应用的非结构化数据。课程首先介绍了**检索增强生成（RAG）技术的核心组件**，包括**数据加载、分块、嵌入、存储和检索**。我们将学习如何处理不同来源的多种非结构化数据类型，例如文本、图像和表格，并将这些数据存储在向量数据库中，便于后续的检索和使用。\n",
+    "\n",
+    "课程内容涵盖了**处理各种非结构化数据的技术**，帮助我们掌握处理 PDF、PowerPoint 和 Word 等不同文件格式的方法。由于数据的多样性和复杂性，课程主要聚焦**数据加载与分块方面的难题**，确保 LLM RAG 管道能够访问所需要的信息。我们还将深入探讨**多种数据格式的解析与标准化技术**，帮助处理来自 Excel 电子表格、PDF 或 Markdown 格式的文本报告、PowerPoint 或 Slides 格式的演示文稿以及 Outlook 或 Slack 等通讯工具的数据。\n",
+    "\n",
+    "在数据格式化与标准化部分，我们将学习**如何解析和标准化不同来源的数据**，通过标准化，确保表格、图像、项目符号列表等数据能够以相似的方式表示。此外，课程还讲解了**元数据的使用**，通过元数据增强内容，提高 RAG 结果的准确性，维护原始文档的结构信息，例如章节标题和段落的关系。\n",
+    "\n",
+    "课程还涵盖了**文档图像分析技术**，帮助我们提取和标准化内容。我们将会应用所学技术，使用 PDF、PowerPoint、Word 等文档类型**构建一个 RAGbot**。通过综合应用所学内容，我们将学习**如何将数据组织成树状结构，以实现高效查询**。"
+   ]
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git "a/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/2. LLM \346\225\260\346\215\256\351\242\204\345\244\204\347\220\206\345\237\272\347\241\200 Overview of LLM Data Preprocessing.ipynb" "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/2. LLM \346\225\260\346\215\256\351\242\204\345\244\204\347\220\206\345\237\272\347\241\200 Overview of LLM Data Preprocessing.ipynb"
new file mode 100644
index 00000000..6dd4ab45
--- /dev/null
+++ "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/2. LLM \346\225\260\346\215\256\351\242\204\345\244\204\347\220\206\345\237\272\347\241\200 Overview of LLM Data Preprocessing.ipynb"	
@@ -0,0 +1,82 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# 第二章 LLM数据预处理基础 Overview of LLM Data Preprocessing\n",
+    "\n",
+    "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div class=\"toc\">\n",
+    "    <ul class=\"toc-item\">\n",
+    "        <li><span><a href=\"#一-总览\" data-toc-modified-id=\"一、总览\">一、总览</a></span></li>\n",
+    "        <li><span><a href=\"#二-检索增强生成（RAG）技术\" data-toc-modified-id=\"二、检索增强生成（RAG）技术\">二、检索增强生成（RAG）技术</a></span></li>\n",
+    "        <li><span><a href=\"#三-文档预处理步骤\" data-toc-modified-id=\"三、文档预处理步骤\">三、文档预处理步骤</a></span></li>\n",
+    "        <li><span><a href=\"#四-数据预处理存在的挑战\" data-toc-modified-id=\"四、数据预处理存在的挑战\">四、数据预处理存在的挑战</a></span></li>\n",
+    "    </ul>\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 一、总览\n",
+    "***\n",
+    "\n",
+    "本章旨在帮助开发者了解 LLM 数据预处理的基础知识。通过本章的学习，开发者将掌握预处理各种非结构化数据的必要性，以及如何处理各种非结构化数据，以便在 LLM 应用中有效利用这些数据。我们将探讨**检索增强生成（RAG）技术的核心组件**，详细讲解**文档预处理的步骤和面临的挑战**，并提供实际应用的指导。通过**标准化和解析不同数据格式**，开发者将能够提升数据的可用性和检索效率，为构建高效的 LLM 应用奠定坚实的基础。"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 二、检索增强生成（RAG）技术\n",
+    "***\n",
+    "\n",
+    "<img src=\"./images/2-1.png\" alt=\"数据预处理对RAG系统的必要性\" width=\"70%\" />\n",
+    "\n",
+    "\n",
+    "理解检索增强生成（Retrieval Augmented Generation，简称 RAG）技术是进行特定数据类型预处理的首要任务。RAG 通过将大语言模型（LLM）的响应与经过验证的外部信息（如企业内部信息）相结合，确保模型生成的回答更加准确和具体。这些信息可以以多种文档形式存在，例如电子邮件、PDF 文件或 PowerPoint 演示文稿。RAG 应用程序通过将这些外部信息加载到数据库中，并在需要时检索这些内容，将其嵌入提示词中，再传递给 LLM。这样，当 LLM 接收到问题或提示时，输入中已经包含了构建响应所需的外部信息。在行业应用中，这种方法尤为重要，因为组织内的数据形式多样且复杂多变。"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 三、文档预处理步骤\n",
+    "***\n",
+    "\n",
+    "预处理文档涉及多个关键步骤。首先，必须**提取文档的文本内容**，这是构建提示词的基础。此外，**提取文档的各类元素**也是至关重要的，这些元素构成了文档的基本构建块，包括**标题、叙述文本、列表和表格**。通过利用这些文档元素，能够执行多种对检索增强生成（RAG）应用至关重要的任务，例如**内容分块和信息过滤**。在课程中，我们将会详细介绍这些操作方法。此外，**提取元素的元数据（如页码和文件类型）**同样具有重要意义，这些元数据在混合搜索中起着关键作用，使得在构建提示词时能够从向量数据库中**有效过滤和检索信息**。\n",
+    "\n",
+    "<img src=\"./images/2-2.png\" alt=\"数据预处理的输出结果\" width=\"70%\" />"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 四、数据预处理存在的挑战\n",
+    "***\n",
+    "\n",
+    "数据预处理的复杂性源于不同文档类型具有不同的内容线索。例如，HTML 文件使用标签名来指示文本是标题还是列表，而 PDF 文件则通过视觉线索来传达信息。为了能够统一预处理这些不同的文档类型，需要理解不同文档类型中的元素表示。此外，文档存在各种格式，需要将其标准化，以便应用程序能够以相同的方式处理它们。标准化过程使得应用程序无需关心文档是 HTML 还是 PDF，从而可以统一处理所有文档。然而，标准化过程困难重重，因为文档格式和元素线索各异。例如，学术期刊文章与表格的处理方式不同。数据预处理技术需要**理解文档结构，以提取有意义的元数据**，这些元数据在 RAG 应用中至关重要，如过滤操作。在之后的课程中，我们将会详细探讨这些技术，帮助开发者在 RAG 应用中**有效处理和标准化各种文档类型**。\n",
+    "\n",
+    "<img src=\"./images/2-3.png\" alt=\"数据预处理存在的挑战\" width=\"70%\" />\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git "a/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/3. \350\247\204\350\214\203\345\214\226\345\206\205\345\256\271 Normalizing the Content.ipynb" "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/3. \350\247\204\350\214\203\345\214\226\345\206\205\345\256\271 Normalizing the Content.ipynb"
new file mode 100644
index 00000000..50acd960
--- /dev/null
+++ "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/3. \350\247\204\350\214\203\345\214\226\345\206\205\345\256\271 Normalizing the Content.ipynb"	
@@ -0,0 +1,2473 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "fbfaa293-a095-4193-b208-7cdda681f17d",
+   "metadata": {},
+   "source": [
+    "# 第三章  规范化内容"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "56225485-c338-460d-89bd-d66d9d13ff1c",
+   "metadata": {},
+   "source": [
+    "<div class=\"toc\">\n",
+    " <ul class=\"toc-item\">\n",
+    "     <li><span><a href=\"#一、引言\" data-toc-modified-id=\"一、引言\">一、引言</a></span></li>\n",
+    "     <li><span><a href=\"#二、为什么文档内容的规范化重要？\" data-toc-modified-id=\"二、为什么文档内容的规范化重要？\">二、为什么文档内容的规范化重要？</a></span></li>\n",
+    "     <li>\n",
+    "         <span><a href=\"#三、代码示例\" data-toc-modified-id=\"三、代码示例\">三、代码示例</a></span>\n",
+    "         <ul class=\"toc-item\">\n",
+    "             <li><span><a href=\"##3.1 规范化处理 HTML\" data-toc-modified-id=\"3.1 规范化处理 HTML\">3.1 规范化处理 HTML</a></span></li>\n",
+    "             <li><span><a href=\"##3.2 规范化处理 Microsoft PowerPoint\" data-toc-modified-id=\"3.2 规范化处理 Microsoft PowerPoint\">3.2 规范化处理 Microsoft PowerPoint</a></span></li>\n",
+    "             <li><span><a href=\"##3.3 规范化处理论文 PDF\" data-toc-modified-id=\"3.3 规范化处理论文 PDF\">3.3 规范化处理论文 PDF</a></span></li>\n",
+    "             <li><span><a href=\"##3.4 使用您自己的文件来测试\" data-toc-modified-id=\"3.4 使用您自己的文件来测试\">3.4 使用您自己的文件来测试</a></span></li>\n",
+    "             </ul>\n",
+    "     </li>\n",
+    "     <li><span><a href=\"#四、本章小结\" data-toc-modified-id=\"四、本章小结\">四、本章小结</a></span></li>\n",
+    "     </ul>\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a4821e18-c91b-4597-a631-4b95d556a6dc",
+   "metadata": {},
+   "source": [
+    "## 一、引言\n",
+    "***\n",
+    "\n",
+    "在这个信息爆炸的时代，我们每天都在创造内容和使用着各种文档，从 **PDF、PowerPoint/Slide、Word 文档到 HTML**，各种格式的文档充斥着我们的学习和工作。然而，这些文档往往因为格式的多样性而难以统一处理，这对于我们构建和优化大语言模型（LLM）应用程序来说，无疑是一个巨大的挑战。\n",
+    "\n",
+    "本教程旨在解决这一挑战，引导您学习如何从这些多样化的文档类型中提取和规范化内容，使您的 LLM 应用程序能够高效地引用和处理信息。通过本教程，您将深入了解**文档规范化的重要性**，并掌握如何将不同格式的文档转化为统一的格式（**JSON**），以便在 LLM 应用程序中以一致的方式处理它们。\n",
+    "\n",
+    "我们将从基础开始，探讨为什么需要规范化文档，以及这一步骤如何帮助我们过滤掉不必要的元素，简化文档处理流程，并降低处理成本。接着，我们会深入到具体的技术实现，学习如何使用 unstructured APIs 来预处理 HTML、PowerPoint 和 PDF 等文档，将它们解析为标题、叙述文本等常见元素，**并最终序列化为易于处理的 JSON 格式**。\n",
+    "\n",
+    "**通过本教程的学习，您的预期收获**：\n",
+    "- 理解文档规范化的必要性及其对 LLM 应用程序的影响。\n",
+    "\n",
+    "- 掌握使用 Python 编程和 unstructured API 来预处理不同格式文档的技能。\n",
+    "\n",
+    "- 学习如何将文档内容序列化为 JSON，以便于后续的处理和分析。\n",
+    "\n",
+    "- 了解文档预处理在实际应用中的多种场景，包括网页抓取、私人知识库处理等。\n",
+    "\n",
+    "您将逐步构建起一个强大的技能集，这将使您能够在各种文档类型的语料库上创建一个高效的处理流程，为您的 LLM 应用程序提供强大的支持。让我们一起开启这段知识之旅，探索文档预处理的奥秘，为您的 LLM 应用程序注入新的活力！"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b5be6de6-8d94-412a-839d-8fc9b9724a9e",
+   "metadata": {},
+   "source": [
+    "## 二、为什么文档内容的规范化重要？\n",
+    "***\n",
+    "\n",
+    "对于大语言模型（LLM）应用程序来说，文档内容的规范化至关重要，原因如下：\n",
+    "\n",
+    "1. **统一处理流程**：文档规范化使得不同来源和格式的文档能够以统一的方式被处理。这样，无论文档是 PDF、Word、PowerPoint 还是 HTML 格式，LLM 都可以使用相同的逻辑和算法来解析和分析内容。\n",
+    "\n",
+    "2. **提高效率**：规范化的内容可以减少处理文档时所需的重复性工作。通过预先定义好的内容结构，可以避免为每种文档类型编写单独的处理逻辑，从而提高开发效率和运行效率。\n",
+    "\n",
+    "3. **增强可读性**：规范化后的内容更易于 LLM 理解和分析。通过将文档分解为标题、叙述文本等结构化元素，LLM 可以更准确地识别和提取关键信息。\n",
+    "\n",
+    "4. **过滤无关信息**：规范化过程允许开发者指定哪些元素是重要的，哪些可以忽略（如页眉、页脚等）。这有助于 LLM 集中处理与任务相关的内容，提高信息的相关性和准确性。\n",
+    "\n",
+    "5. **降低成本**：预处理文档的初始内容提取通常是最昂贵的部分。通过规范化，可以减少对每种文档类型特定处理的需求，从而降低整体的计算和开发成本。\n",
+    "\n",
+    "6. **数据重用**：规范化后的数据可以序列化为 JSON 等格式，便于存储和重用。这意味着一旦文档被规范化，就可以在不同的应用和场景中重复使用，而无需重新预处理。\n",
+    "\n",
+    "7. **支持多种操作**：规范化的内容使得可以应用统一的下游操作，如文本分块、关键词提取、内容摘要等，这对于构建多功能的 LLM 应用程序是非常有用的。\n",
+    "\n",
+    "8. **提高灵活性**：规范化的内容可以轻松地适应不同的应用需求。无论是在 API 调用、Web 服务还是本地应用程序中，规范化的数据都可以无缝集成。\n",
+    "\n",
+    "9. **促进创新**：当文档内容以统一格式存在时，开发者和研究人员可以更自由地尝试和实现新的算法和模型，推动 LLM 应用程序的创新和发展。\n",
+    "\n",
+    "10. **跨平台兼容性**：规范化的内容可以跨不同的编程环境和平台使用，这对于构建需要在多种技术栈上运行的应用程序尤为重要。\n",
+    "\n",
+    "总的来说，文档内容的规范化是构建高效、可扩展且成本效益高的 LLM 应用程序的关键步骤，它为处理和分析大量异构数据提供了坚实的基础。"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e7e34ef5-4b34-4a6b-8b6b-49e4bc8da690",
+   "metadata": {},
+   "source": [
+    "## 三、代码示例\n",
+    "***\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7ae8e6e6-629c-457f-a30c-ee4c8eb3b422",
+   "metadata": {},
+   "source": [
+    "一键安装需要的依赖库："
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1445a9aa-d3f1-433e-b6fe-72c58a959d8d",
+   "metadata": {},
+   "source": [
+    "`!pip install -r requirements.txt`"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7013d575-a5fa-457d-9a07-a1c5a4d5d6cf",
+   "metadata": {},
+   "source": [
+    "控制 Python 程序中的警告信息输出，避免产生一些不影响程序执行但可能会令用户感到困惑的警告信息。"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "4ec2430d-cac6-406e-a007-123dc97df0e2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import warnings\n",
+    "\n",
+    "warnings.filterwarnings('ignore')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "30b1176b-c566-4d7b-a532-8079c8241811",
+   "metadata": {},
+   "source": [
+    "简要介绍 unstructured：**开源的非结构化数据预处理工具**\n",
+    "\n",
+    "- Github 地址：https://github.com/Unstructured-IO/unstructured\n",
+    "\n",
+    "- Unstructured SaaS API：https://unstructured.io/api-key-hosted\n",
+    "\n",
+    "- unstructured 库提供了开源组件，用于摄取和预处理图像和文本文件，如 PDF、HTML、Word 文档等等。unstructured 的使用案例围绕着简化和优化大语言模型（LLMs）的数据处理工作流。\n",
+    "\n",
+    "- unstructured 的模块化功能和连接器构成了一个连贯的系统，简化了数据摄取和预处理，使其能够适应不同平台，并高效地将非结构化数据转换为结构化输出。"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "591f213d-f54b-4c91-ae73-bcd2c7a4359e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import json\n",
+    "from IPython.display import JSON\n",
+    "\n",
+    "# unstructured API  导入所需的辅助函数\n",
+    "from unstructured_client import UnstructuredClient\n",
+    "from unstructured_client.models import shared\n",
+    "from unstructured_client.models.errors import SDKError\n",
+    "\n",
+    "from unstructured.partition.html import partition_html\n",
+    "from unstructured.partition.pptx import partition_pptx\n",
+    "from unstructured.staging.base import dict_to_elements, elements_to_json"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0b1b968b-dbf4-4264-b593-cd9a85ea2420",
+   "metadata": {},
+   "source": [
+    "注意：您需要先通过 **Unstructured SaaS API** - https://unstructured.io/api-key-hosted 填写和提交表单，**然后通过邮箱接收您的专属 Unstructured API Key 以及 Base URL**。\n",
+    "\n",
+    "配置和初始化一个与 unstructured 相关的 API 客户端。"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "b97be736-2166-400c-9d17-6dcb4034c9eb",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+      "application/vnd.holoviews_load.v0+json": ""
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
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+      "application/vnd.holoviews_load.v0+json": ""
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<style>*[data-root-id],\n",
+       "*[data-root-id] > * {\n",
+       "  box-sizing: border-box;\n",
+       "  font-family: var(--jp-ui-font-family);\n",
+       "  font-size: var(--jp-ui-font-size1);\n",
+       "  color: var(--vscode-editor-foreground, var(--jp-ui-font-color1));\n",
+       "}\n",
+       "\n",
+       "/* Override VSCode background color */\n",
+       ".cell-output-ipywidget-background:has(\n",
+       "    > .cell-output-ipywidget-background > .lm-Widget > *[data-root-id]\n",
+       "  ),\n",
+       ".cell-output-ipywidget-background:has(> .lm-Widget > *[data-root-id]) {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "</style>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.holoviews_exec.v0+json": "",
+      "text/html": [
+       "<div id='c000ed50-8916-4e4e-8a9d-76cc923d9eba'>\n",
+       "  <div id=\"d15cfcb5-4c91-45db-bd4b-489487be108c\" data-root-id=\"c000ed50-8916-4e4e-8a9d-76cc923d9eba\" style=\"display: contents;\"></div>\n",
+       "</div>\n",
+       "<script type=\"application/javascript\">(function(root) {\n",
+       "  var docs_json = {\"792a187c-7677-4e47-9f08-fd7b4408203c\":{\"version\":\"3.1.1\",\"title\":\"Bokeh 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+       "  var render_items = [{\"docid\":\"792a187c-7677-4e47-9f08-fd7b4408203c\",\"roots\":{\"c000ed50-8916-4e4e-8a9d-76cc923d9eba\":\"d15cfcb5-4c91-45db-bd4b-489487be108c\"},\"root_ids\":[\"c000ed50-8916-4e4e-8a9d-76cc923d9eba\"]}];\n",
+       "  var docs = Object.values(docs_json)\n",
+       "  if (!docs) {\n",
+       "    return\n",
+       "  }\n",
+       "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
+       "  const is_dev = py_version.indexOf(\"+\") !== -1 || py_version.indexOf(\"-\") !== -1\n",
+       "  function embed_document(root) {\n",
+       "    var Bokeh = get_bokeh(root)\n",
+       "    Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+       "    for (const render_item of render_items) {\n",
+       "      for (const root_id of render_item.root_ids) {\n",
+       "\tconst id_el = document.getElementById(root_id)\n",
+       "\tif (id_el.children.length && (id_el.children[0].className === 'bk-root')) {\n",
+       "\t  const root_el = id_el.children[0]\n",
+       "\t  root_el.id = root_el.id + '-rendered'\n",
+       "\t}\n",
+       "      }\n",
+       "    }\n",
+       "  }\n",
+       "  function get_bokeh(root) {\n",
+       "    if (root.Bokeh === undefined) {\n",
+       "      return null\n",
+       "    } else if (root.Bokeh.version !== py_version && !is_dev) {\n",
+       "      if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {\n",
+       "\treturn null\n",
+       "      }\n",
+       "      return root.Bokeh.versions.get(py_version);\n",
+       "    } else if (root.Bokeh.version === py_version) {\n",
+       "      return root.Bokeh\n",
+       "    }\n",
+       "    return null\n",
+       "  }\n",
+       "  function is_loaded(root) {\n",
+       "    var Bokeh = get_bokeh(root)\n",
+       "    return (Bokeh != null && Bokeh.Panel !== undefined)\n",
+       "  }\n",
+       "  if (is_loaded(root)) {\n",
+       "    embed_document(root);\n",
+       "  } else {\n",
+       "    var attempts = 0;\n",
+       "    var timer = setInterval(function(root) {\n",
+       "      if (is_loaded(root)) {\n",
+       "        clearInterval(timer);\n",
+       "        embed_document(root);\n",
+       "      } else if (document.readyState == \"complete\") {\n",
+       "        attempts++;\n",
+       "        if (attempts > 200) {\n",
+       "          clearInterval(timer);\n",
+       "\t  var Bokeh = get_bokeh(root)\n",
+       "\t  if (Bokeh == null || Bokeh.Panel == null) {\n",
+       "            console.warn(\"Panel: ERROR: Unable to run Panel code because Bokeh or Panel library is missing\");\n",
+       "\t  } else {\n",
+       "\t    console.warn(\"Panel: WARNING: Attempting to render but not all required libraries could be resolved.\")\n",
+       "\t    embed_document(root)\n",
+       "\t  }\n",
+       "        }\n",
+       "      }\n",
+       "    }, 25, root)\n",
+       "  }\n",
+       "})(window);</script>"
+      ]
+     },
+     "metadata": {
+      "application/vnd.holoviews_exec.v0+json": {
+       "id": "c000ed50-8916-4e4e-8a9d-76cc923d9eba"
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "None\n"
+     ]
+    }
+   ],
+   "source": [
+    "from Utils_Ch3 import Utils\n",
+    "\n",
+    "utils = Utils()\n",
+    "\n",
+    "# 从环境变量中获取，或者直接赋值。\n",
+    "DLAI_API_KEY = utils.get_dlai_api_key()\n",
+    "DLAI_API_URL = utils.get_dlai_url()\n",
+    "\n",
+    "# api_key_auth=\"接收 API 密钥，用于认证。\"\n",
+    "# server_url=\"接收 API 服务器的 URL，指定客户端应该连接到哪个服务器。\"\n",
+    "s = UnstructuredClient(\n",
+    "    api_key_auth=DLAI_API_KEY,\n",
+    "    server_url=DLAI_API_URL,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "edaf974b-6886-43d9-8cb9-5f3f35c028e2",
+   "metadata": {},
+   "source": [
+    "下面将补充介绍在 Windows 和 Linux 系统下如何有效设置环境变量的方法。\n",
+    "\n",
+    "设置环境变量是一项常见任务，旨在配置操作系统或应用程序的运行环境。在 Windows 和 Linux 系统中，设置环境变量的方法各异。让我们一步步地探讨如何在两个操作系统中设置 `DLAI_API_KEY` 和 `DLAI_API_URL` 这两个环境变量。\n",
+    "\n",
+    "**1. 在 Windows 系统中设置环境变量**\n",
+    "\n",
+    "通过命令行（适用于临时会话），打开命令提示符（CMD）或 PowerShell。\n",
+    "\n",
+    "（1）使用以下命令设置环境变量\n",
+    "   - 对于 CMD，使用：\n",
+    "     ```cmd\n",
+    "     D:\\project\\your_file_path>set DLAI_API_KEY=\"your_api_key_value\"\n",
+    "     D:\\project\\your_file_path>set DLAI_API_URL=\"your_api_url_value\"\n",
+    "     ```\n",
+    "   - 对于 PowerShell，使用：\n",
+    "     ```powershell\n",
+    "     PS D:\\project\\your_file_path> DLAI_API_KEY=\"your_api_key_value\"\n",
+    "     PS D:\\project\\your_file_path> DLAI_API_URL=\"your_api_url_value\"\n",
+    "     ```\n",
+    "   这种方法设置的环境变量仅对当前会话有效。\n",
+    "\n",
+    "（2）通过系统属性（永久性）\n",
+    "\n",
+    "1. 按下 `Win + R`，输入 `sysdm.cpl`，然后按 Enter 键打开系统属性。\n",
+    "2. 转到  “高级”  选项卡，并点击  “环境变量”  按钮。\n",
+    "3. 在 “用户变量” 或 “系统变量” 区域点击 “新建”，创建新的环境变量。\n",
+    "4. 输入变量名（如 `DLAI_API_KEY` ）和变量值（你的 API 密钥值），然后点击确定。\n",
+    "5. 重复上述步骤以添加 `DLAI_API_URL`。\n",
+    "\n",
+    "**2. 在 Linux 系统中设置环境变量**\n",
+    "\n",
+    "临时设置\n",
+    "\n",
+    "1. 打开终端。\n",
+    "2. 使用 export 命令设置环境变量：\n",
+    "   ```bash\n",
+    "   export DLAI_API_KEY=\"your_api_key_value\"\n",
+    "   export DLAI_API_URL=\"your_api_url_value\"\n",
+    "   ```\n",
+    "   这些设置只在当前终端会话中有效。\n",
+    "\n",
+    "永久性设置（对所有会话）\n",
+    "\n",
+    "对于所有用户：\n",
+    "1. 编辑 `/etc/environment`, `/etc/profile`, 或者 `/etc/bash.bashrc` 文件（取决于你的分发版和需求），使用 sudo 权限打开文件：\n",
+    "   ```bash\n",
+    "   sudo nano /etc/environment\n",
+    "   ```\n",
+    "2. 在文件中添加以下行：\n",
+    "   ```bash\n",
+    "   DLAI_API_KEY=\"your_api_key_value\"\n",
+    "   DLAI_API_URL=\"your_api_url_value\"\n",
+    "   ```\n",
+    "3. 保存并关闭文件。更改将在重新登录或重启后生效。\n",
+    "\n",
+    "对于特定用户：\n",
+    "1. 编辑用户家目录下的 `.bashrc`, `.profile`, 或 `.bash_profile`（取决于你使用的 Shell）文件：\n",
+    "   ```bash\n",
+    "   nano ~/.bashrc\n",
+    "   ```\n",
+    "2. 在文件末尾添加以下行：\n",
+    "   ```bash\n",
+    "   export DLAI_API_KEY=\"your_api_key_value\"\n",
+    "   export DLAI_API_URL=\"your_api_url_value\"\n",
+    "   ```\n",
+    "3. 保存并关闭文件。更改将在下次登录时生效，或者你可以通过运行 `source ~/.bashrc` 立即应用更改。\n",
+    "\n",
+    "以上就是在 Windows 和 Linux 系统中设置环境变量的方法。请根据您的需求选择合适的方法：若您需要环境变量对所有用户或所有会话都可用，建议选择永久性设置方法；若仅为临时测试，则可选择临时设置方法。"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d24c9d78-4fb2-4084-bec2-7068d31fb2fe",
+   "metadata": {},
+   "source": [
+    "### 3.1 规范化处理 HTML"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f468e9fd-bb0a-4455-b7de-9e03e6417f91",
+   "metadata": {},
+   "source": [
+    "我们首先处理的是 HTML 文档，这对于 LLMs 是很有用的。因为在许多情况下，您希望将互联网上的网页内容读取到 LLM 应用程序中。当您理解 HTML 文档时，通常会查看 HTML 标签。例如，`h1` 标记将指示内容很可能是一个标题。一个 `p` 段落标签表示内容很可能是叙述性文本。除了使用这些标签之外，还使用**自然语言处理**功能来理解文本内容，以更好地理解内容的分类。例如，在段落标签中具有多个句子的长内容很可能是叙述性文本，而在段落标签中全大写的短内容也有可能是标题。\n",
+    "\n",
+    "示例文档：Medium 博客的一个 HTML 页面。通过创建一个 Image 对象并设置相关参数，实现了将指定路径下的网页图片按照设定的尺寸显示在 Jupyter Notebook 中。"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "8753e8a4-859c-41eb-8b5e-101a30ed5b2d",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<IPython.core.display.Image object>"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {
+      "image/png": {
+       "height": 600,
+       "width": 600
+      }
+     },
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from IPython.display import Image\n",
+    "\n",
+    "Image(filename=\"images/3-1.png\",\n",
+    "      height=600, width=600\n",
+    "     )"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "88b80d53-e16f-40d5-b169-ac31154d053c",
+   "metadata": {},
+   "source": [
+    "注意：第一次运行程序应该会自动下载**自然语言处理工具 NLTK** 的 packages\n",
+    "\n",
+    "如果您感觉下载速度很慢，可以手动从 Github 下载 nltk_data/packages 中的有关文件到本地，并将其重命名为 `nltk_data`。Github：https://github.com/nltk/nltk_data 。然后用以下 Python 脚本解压这个 nltk_data 目录下的所有 .zip 文件到它们各自所在的目录中。"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d7f4a625-e9b6-496d-9373-0b75292bb047",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import zipfile\n",
+    "\n",
+    "\n",
+    "def unzip_all_in_dir(directory):\n",
+    "    \"\"\"\n",
+    "    解压指定目录下的所有 .zip 文件到它们各自所在的目录中。\n",
+    "    \"\"\"\n",
+    "    # 遍历指定目录\n",
+    "    for root, dirs, files in os.walk(directory):\n",
+    "        for file in files:\n",
+    "            if file.endswith(\".zip\"):\n",
+    "                # 构建 .zip 文件的完整路径\n",
+    "                zip_path = os.path.join(root, file)\n",
+    "                # 打开 .zip 文件\n",
+    "                with zipfile.ZipFile(zip_path, 'r') as zip_ref:\n",
+    "                    # 解压到当前 .zip 文件所在的目录\n",
+    "                    zip_ref.extractall(root)\n",
+    "                print(f\"已解压: {zip_path}\")\n",
+    "\n",
+    "\n",
+    "if __name__ == \"__main__\":\n",
+    "    # 替换为您想要扫描和解压 .zip 文件的目录\n",
+    "    directory_to_scan = \"/path/to/your/directory\"\n",
+    "    unzip_all_in_dir(directory_to_scan)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1842b2bf-9f51-4f49-a56f-16307278ee02",
+   "metadata": {},
+   "source": [
+    "使用 unstructured API 中的 `partition_html` 函数来预处理 HTML 文档。这个过程允许用户将 HTML 文档中的不同元素（如标题、段落等）提取出来，并以一种结构化的方式（**JSON 格式**）存储，以便于后续的处理和分析。"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "0265c17e-d9db-4877-a804-74d94596a72e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 将一个 HTML 文档分割成其构成元素\n",
+    "filename = \"example_files/medium_blog.html\"\n",
+    "elements = partition_html(filename=filename)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e9705b59-cbd1-49f9-8083-34370c616e95",
+   "metadata": {},
+   "source": [
+    "这段代码的主要目的是将一个名为 elements 的列表（其中每个元素都有一个 to_dict() 方法）转换成 JSON 格式的字符串，并打印出来。此外，该代码还展示 JSON 格式化后的字符串。"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "68f55cc9-0d04-4260-a617-9f3ab0c6951f",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[\n",
+      "  {\n",
+      "    \"type\": \"Title\",\n",
+      "    \"element_id\": \"e39d96a8cdd862d24797a6c70bbf1f4a\",\n",
+      "    \"text\": \"Effortless Document Extraction: A Guide to Using Unstructured API and Data Connectors\",\n",
+      "    \"metadata\": {\n",
+      "      \"category_depth\": 0,\n",
+      "      \"last_modified\": \"2024-04-18T06:26:16\",\n",
+      "      \"page_number\": 1,\n",
+      "      \"languages\": [\n",
+      "        \"eng\"\n",
+      "      ],\n",
+      "      \"file_directory\": \"example_files\",\n",
+      "      \"filename\": \"medium_blog.html\",\n",
+      "      \"filetype\": \"text/html\"\n",
+      "    }\n",
+      "  },\n",
+      "  {\n",
+      "    \"type\": \"Title\",\n",
+      "    \"element_id\": \"bb56ce4185858827e8009383eb805c27\",\n",
+      "    \"text\": \"Unstructured\\u00b7Follow\",\n",
+      "    \"metadata\": {\n",
+      "      \"category_depth\": 0,\n",
+      "      \"last_modified\": \"2024-04-18T06:26:16\",\n",
+      "      \"emphasized_text_contents\": [\n",
+      "        \"Unstructured\\u00b7Follow\",\n",
+      "        \"\\u00b7\",\n",
+      "        \"\\u00b7\",\n",
+      "        \"Follow\"\n",
+      "      ],\n",
+      "      \"emphasized_text_tags\": [\n",
+      "        \"span\",\n",
+      "        \"span\",\n",
+      "        \"span\",\n",
+      "        \"span\"\n",
+      "      ],\n",
+      "      \"link_texts\": [\n",
+      "        \"Unstructured\",\n",
+      "        \"Follow\"\n",
+      "      ],\n",
+      "      \"link_urls\": [\n",
+      "        \"/@unstructured-io?source=post_page-----6c2659eda4af--------------------------------\",\n",
+      "        \"/m/signin?actionUrl=https%3A%2F%2Fmedium.com%2F_%2Fsubscribe%2Fuser%2Fef887e1f3620&operation=register&redirect=https%3A%2F%2Fmedium.com%2Funstructured-io%2Feffortless-document-extraction-a-guide-to-using-unstructured-api-and-data-connectors-6c2659eda4af&user=Unstructured&userId=ef887e1f3620&source=post_page-ef887e1f3620----6c2659eda4af---------------------post_header-----------\"\n",
+      "      ],\n",
+      "      \"page_number\": 1,\n",
+      "      \"languages\": [\n",
+      "        \"eng\"\n",
+      "      ],\n",
+      "      \"file_directory\": \"example_files\",\n",
+      "      \"filename\": \"medium_blog.html\",\n",
+      "      \"filetype\": \"text/html\"\n",
+      "    }\n",
+      "  },\n",
+      "  {\n",
+      "    \"type\": \"NarrativeText\",\n",
+      "    \"element_id\": \"73faa33da78673b06dea24713695e0e6\",\n",
+      "    \"text\": \"Published inUnstructured\\u00b74 min read\\u00b7Jul 21, 2023\",\n",
+      "    \"metadata\": {\n",
+      "      \"last_modified\": \"2024-04-18T06:26:16\",\n",
+      "      \"emphasized_text_contents\": [\n",
+      "        \"Published inUnstructured\\u00b74 min read\\u00b7Jul 21, 2023\",\n",
+      "        \"Published in\",\n",
+      "        \"\\u00b7\",\n",
+      "        \"\\u00b7\",\n",
+      "        \"4 min read\\u00b7Jul 21, 2023\",\n",
+      "        \"4 min read\",\n",
+      "        \"\\u00b7\",\n",
+      "        \"\\u00b7\",\n",
+      "        \"Jul 21, 2023\"\n",
+      "      ],\n",
+      "      \"emphasized_text_tags\": [\n",
+      "        \"span\",\n",
+      "        \"span\",\n",
+      "        \"span\",\n",
+      "        \"span\",\n",
+      "        \"span\",\n",
+      "        \"span\",\n",
+      "        \"span\",\n",
+      "        \"span\",\n",
+      "        \"span\"\n",
+      "      ],\n",
+      "      \"link_texts\": [\n",
+      "        null\n",
+      "      ],\n",
+      "      \"link_urls\": [\n",
+      "        \"https://medium.com/unstructured-io?source=post_page-----6c2659eda4af--------------------------------\"\n",
+      "      ],\n",
+      "      \"page_number\": 1,\n",
+      "      \"languages\": [\n",
+      "        \"eng\"\n",
+      "      ],\n",
+      "      \"parent_id\": \"bb56ce4185858827e8009383eb805c27\",\n",
+      "      \"file_directory\": \"example_files\",\n",
+      "      \"filename\": \"medium_blog.html\",\n",
+      "      \"filetype\": \"text/html\"\n",
+      "    }\n",
+      "  },\n",
+      "  {\n",
+      "    \"type\": \"UncategorizedText\",\n",
+      "    \"element_id\": \"d8156bae0c4243d3742fc4e9774d8ace\",\n",
+      "    \"text\": \"--\",\n",
+      "    \"metadata\": {\n",
+      "      \"last_modified\": \"2024-04-18T06:26:16\",\n",
+      "      \"emphasized_text_contents\": [\n",
+      "        \"--\"\n",
+      "      ],\n",
+      "      \"emphasized_text_tags\": [\n",
+      "        \"span\"\n",
+      "      ],\n",
+      "      \"page_number\": 1,\n",
+      "      \"languages\": [\n",
+      "        \"eng\"\n",
+      "      ],\n",
+      "      \"parent_id\": \"bb56ce4185858827e8009383eb805c27\",\n",
+      "      \"file_directory\": \"example_files\",\n",
+      "      \"filename\": \"medium_blog.html\",\n",
+      "      \"filetype\": \"text/html\"\n",
+      "    }\n",
+      "  },\n",
+      "  {\n",
+      "    \"type\": \"Title\",\n",
+      "    \"element_id\": \"225d29f6201e1a635684a6dc0e7a65d1\",\n",
+      "    \"text\": \"Listen\",\n",
+      "    \"metadata\": {\n",
+      "      \"category_depth\": 0,\n",
+      "      \"last_modified\": \"2024-04-18T06:26:16\",\n",
+      "      \"page_number\": 1,\n",
+      "      \"languages\": [\n",
+      "        \"eng\"\n",
+      "      ],\n",
+      "      \"file_directory\": \"example_files\",\n",
+      "      \"filename\": \"medium_blog.html\",\n",
+      "      \"filetype\": \"text/html\"\n",
+      "    }\n",
+      "  },\n",
+      "  {\n",
+      "    \"type\": \"Title\",\n",
+      "    \"element_id\": \"29887a5ff9846ccc23327565a07e17fa\",\n",
+      "    \"text\": \"Share\",\n",
+      "    \"metadata\": {\n",
+      "      \"category_depth\": 0,\n",
+      "      \"last_modified\": \"2024-04-18T06:26:16\",\n",
+      "      \"page_number\": 1,\n",
+      "      \"languages\": [\n",
+      "        \"eng\"\n",
+      "      ],\n",
+      "      \"file_directory\": \"example_files\",\n",
+      "      \"filename\": \"medium_blog.html\",\n",
+      "      \"filetype\": \"text/html\"\n",
+      "    }\n",
+      "  },\n",
+      "  {\n",
+      "    \"type\": \"NarrativeText\",\n",
+      "    \"element_id\": \"2bc60d779d5ea8114272b3c498f34643\",\n",
+      "    \"text\": \"In the vast digital universe, data is the lifeblood that drives decision-making and innovation. But not all data is created equal. Unstructured data in images and documents often hold a wealth of information that can be challenging to extract and analyze.\",\n",
+      "    \"metadata\": {\n",
+      "      \"last_modified\": \"2024-04-18T06:26:16\",\n",
+      "      \"page_number\": 1,\n",
+      "      \"languages\": [\n",
+      "        \"eng\"\n",
+      "      ],\n",
+      "      \"parent_id\": \"29887a5ff9846ccc23327565a07e17fa\",\n",
+      "      \"file_directory\": \"example_files\",\n",
+      "      \"filename\": \"medium_blog.html\",\n",
+      "      \"filetype\": \"text/html\"\n",
+      "    }\n",
+      "  },\n",
+      "  {\n",
+      "    \"type\": \"NarrativeText\",\n",
+      "    \"element_id\": \"03ceadc8956df0cbeb81d1b103e75ba0\",\n",
+      "    \"text\": \"Enter Unstructured.io, a powerful tool to extract and efficiently transform structured data. With sixteen and counting pre-built connectors, the API can easily integrate with various data sources, including AWS S3, GitHub, Google Cloud Storage, and more.\",\n",
+      "    \"metadata\": {\n",
+      "      \"last_modified\": \"2024-04-18T06:26:16\",\n",
+      "      \"link_texts\": [\n",
+      "        \"Unstructured.io\"\n",
+      "      ],\n",
+      "      \"link_urls\": [\n",
+      "        \"https://www.unstructured.io/\"\n",
+      "      ],\n",
+      "      \"page_number\": 1,\n",
+      "      \"languages\": [\n",
+      "        \"eng\"\n",
+      "      ],\n",
+      "      \"parent_id\": \"29887a5ff9846ccc23327565a07e17fa\",\n",
+      "      \"file_directory\": \"example_files\",\n",
+      "      \"filename\": \"medium_blog.html\",\n",
+      "      \"filetype\": \"text/html\"\n",
+      "    }\n",
+      "  },\n",
+      "  {\n",
+      "    \"type\": \"NarrativeText\",\n",
+      "    \"element_id\": \"c08851ba52bd7d9d68c0398c1634a1fb\",\n",
+      "    \"text\": \"In this guide, we\\u2019ll cover the advantages of using the Unstructured API and Connector module, walk you through a step-by-step process of using it with the S3 Connector as an example, and show you how to be a part of the Unstructured community.\",\n",
+      "    \"metadata\": {\n",
+      "      \"last_modified\": \"2024-04-18T06:26:16\",\n",
+      "      \"page_number\": 1,\n",
+      "      \"languages\": [\n",
+      "        \"eng\"\n",
+      "      ],\n",
+      "      \"parent_id\": \"29887a5ff9846ccc23327565a07e17fa\",\n",
+      "      \"file_directory\": \"example_files\",\n",
+      "      \"filename\": \"medium_blog.html\",\n",
+      "      \"filetype\": \"text/html\"\n",
+      "    }\n",
+      "  }\n",
+      "]\n"
+     ]
+    }
+   ],
+   "source": [
+    "element_dict = [el.to_dict() for el in elements]\n",
+    "# 持久化保存 JSON 格式数据到本地文件   如有必要\n",
+    "# json_str = json.dumps(element_dict, ensure_ascii=False, indent=2)\n",
+    "# with open(\"save_JSON.json\", \"w\") as f:\n",
+    "#     f.write(json_str)\n",
+    "\n",
+    "example_output = json.dumps(element_dict[6:15], indent=2)\n",
+    "print(example_output)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1cbbbd2a-b4ec-4208-8ed4-2a49ce5b8637",
+   "metadata": {},
+   "source": [
+    "🚀 **为什么要将不同文档类型的内容序列化为 JSON？**\n",
+    "\n",
+    "将不同文档类型的内容序列化为 JSON 的原因包括：\n",
+    "\n",
+    "1. **通用性和广为人知的结构**：JSON 是一种常见且广为人知的数据格式，这使得它易于被不同的系统和应用程序理解和使用。\n",
+    "\n",
+    "2. **标准的 HTTP 响应**：在处理需要在 API 上运行模型工作负载的文档，如 PDF 和图像时，JSON 作为标准的 HTTP 响应格式，可以方便地在网络应用中传输。\n",
+    "\n",
+    "3. **多语言支持**：JSON 可以在多种编程语言中使用，这意味着无论是在 JavaScript、Python 还是其他语言构建的应用程序中，都可以轻松地处理 JSON 格式的数据。\n",
+    "\n",
+    "4. **流式处理用例**：JSON 也适用于流式处理用例，例如将文档存储为 JSON Lines（JSON-L），这是一种将 JSON 对象逐行存储的格式，适合日志文件或大型数据集的处理。\n",
+    "\n",
+    "5. **数据重用**：数据序列化为 JSON 后，可以方便地存储和重用，无需再次预处理原始文档。这提高了效率，降低了处理成本。\n",
+    "\n",
+    "6. **简化处理流程**：通过将所有文档内容规范化为 JSON 格式，可以简化后续的处理流程，如文本分析、信息抽取等，因为处理程序可以以统一的方式操作所有类型的文档。\n",
+    "\n",
+    "7. **易于导航和访问**：序列化后的 JSON 对象易于导航和访问，可以方便地通过编程方式轻松提取所需的信息。\n",
+    "\n",
+    "通过将文档内容序列化为 JSON，可以确保文档在预处理后以一种结构化、标准化且易于操作的格式存在，从而为 LLM 应用程序提供一致的输入，简化开发和维护过程。"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f5467797-0d28-4ded-9d07-a378c1cde157",
+   "metadata": {},
+   "source": [
+    "💻 使用 IPython 的 JSON 显示函数来更轻松地导航和查看序列化后的 JSON 对象。"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "41aa4434-7ff6-45c5-bf7d-ef870358e4bb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 直接渲染并展示 JSON 字符串  Jupyter Notebook 中使用  可选运行\n",
+    "# JSON(example_output)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5e571077-9c60-499c-9668-c0e350148ce8",
+   "metadata": {},
+   "source": [
+    "### 3.2 规范化处理 Microsoft PowerPoint"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "787bae26-b360-4a49-a943-f96521055008",
+   "metadata": {},
+   "source": [
+    "通过创建一个 Image 对象并设置相关参数，实现了将指定路径下的图片按照设定的尺寸显示在 Jupyter Notebook 中。"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "36692869-ceeb-4eee-88bf-bdbebb198c70",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<IPython.core.display.Image object>"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {
+      "image/png": {
+       "height": 600,
+       "width": 600
+      }
+     },
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "Image(filename=\"images/3-2.png\",\n",
+    "      height=600, width=600\n",
+    "     )"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a176d5f2-8726-4629-b48a-005ad5b07b15",
+   "metadata": {},
+   "source": [
+    "使用 unstructured API 中的 partition_pptx 函数来预处理 PowerPoint 文档。下面的代码的主要功能是将一个 PowerPoint 文件（.pptx 格式）中的元素分割，并将这些分割后的元素转换为字典格式，最后以 JSON 格式打印出来。通过这种方式，代码解决了将 PowerPoint 文件内容以结构化数据形式进行分析和处理的问题。"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "60fffa73-2f75-447a-8596-e24cc3288039",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "filename = \"example_files/msft_openai.pptx\"\n",
+    "elements = partition_pptx(filename=filename)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "42a9f961-9a1d-4fec-9815-7151f0f254da",
+   "metadata": {},
+   "source": [
+    "这一行首先使用 Python 的标准库 `json` 中的 `dumps` 函数将前面得到的字典列表转换成 JSON 格式字符串。然后可以选择使用 IPython 的 JSON 显示函数来更轻松地导航和查看序列化后的 JSON 对象。当然，也可以用 print() 直接打印。由于此时它包含所有 PowerPoint 元素的字典表示形式，这会打印输出一个大型字典列表。"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "3589bae1-3f4e-4b9e-b16c-8975e37287c9",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[\n",
+      "  {\n",
+      "    \"type\": \"Title\",\n",
+      "    \"element_id\": \"50a4122943273ad2f00ea92bff9c7cb6\",\n",
+      "    \"text\": \"ChatGPT\",\n",
+      "    \"metadata\": {\n",
+      "      \"category_depth\": 1,\n",
+      "      \"file_directory\": \"example_files\",\n",
+      "      \"filename\": \"msft_openai.pptx\",\n",
+      "      \"last_modified\": \"2024-04-18T06:26:16\",\n",
+      "      \"page_number\": 1,\n",
+      "      \"languages\": [\n",
+      "        \"eng\"\n",
+      "      ],\n",
+      "      \"filetype\": \"application/vnd.openxmlformats-officedocument.presentationml.presentation\"\n",
+      "    }\n",
+      "  },\n",
+      "  {\n",
+      "    \"type\": \"ListItem\",\n",
+      "    \"element_id\": \"62ec8febb7453876bd797cd6cd38ada4\",\n",
+      "    \"text\": \"Chat-GPT: AI Chatbot, developed by OpenAI,\\u00a0trained to perform conversational tasks and\\u00a0creative tasks\",\n",
+      "    \"metadata\": {\n",
+      "      \"category_depth\": 0,\n",
+      "      \"file_directory\": \"example_files\",\n",
+      "      \"filename\": \"msft_openai.pptx\",\n",
+      "      \"last_modified\": \"2024-04-18T06:26:16\",\n",
+      "      \"page_number\": 1,\n",
+      "      \"languages\": [\n",
+      "        \"eng\"\n",
+      "      ],\n",
+      "      \"parent_id\": \"50a4122943273ad2f00ea92bff9c7cb6\",\n",
+      "      \"filetype\": \"application/vnd.openxmlformats-officedocument.presentationml.presentation\"\n",
+      "    }\n",
+      "  },\n",
+      "  {\n",
+      "    \"type\": \"ListItem\",\n",
+      "    \"element_id\": \"a65487e7a89151a78c3ee11901bfe432\",\n",
+      "    \"text\": \"Backed by GPT-3.5 model (gpt-35-turbo), GPT-4\\u00a0models\",\n",
+      "    \"metadata\": {\n",
+      "      \"category_depth\": 0,\n",
+      "      \"file_directory\": \"example_files\",\n",
+      "      \"filename\": \"msft_openai.pptx\",\n",
+      "      \"last_modified\": \"2024-04-18T06:26:16\",\n",
+      "      \"page_number\": 1,\n",
+      "      \"languages\": [\n",
+      "        \"eng\"\n",
+      "      ],\n",
+      "      \"parent_id\": \"50a4122943273ad2f00ea92bff9c7cb6\",\n",
+      "      \"filetype\": \"application/vnd.openxmlformats-officedocument.presentationml.presentation\"\n",
+      "    }\n",
+      "  },\n",
+      "  {\n",
+      "    \"type\": \"ListItem\",\n",
+      "    \"element_id\": \"8446c09ea34589692a09e2efe1c0cda4\",\n",
+      "    \"text\": \"Trained over 175 billion machine learning parameters\",\n",
+      "    \"metadata\": {\n",
+      "      \"category_depth\": 0,\n",
+      "      \"file_directory\": \"example_files\",\n",
+      "      \"filename\": \"msft_openai.pptx\",\n",
+      "      \"last_modified\": \"2024-04-18T06:26:16\",\n",
+      "      \"page_number\": 1,\n",
+      "      \"languages\": [\n",
+      "        \"eng\"\n",
+      "      ],\n",
+      "      \"parent_id\": \"50a4122943273ad2f00ea92bff9c7cb6\",\n",
+      "      \"filetype\": \"application/vnd.openxmlformats-officedocument.presentationml.presentation\"\n",
+      "    }\n",
+      "  },\n",
+      "  {\n",
+      "    \"type\": \"ListItem\",\n",
+      "    \"element_id\": \"99a74e815da80752b39bc30dacdbeecf\",\n",
+      "    \"text\": \"Conversation-in and message-out\\u00a0\",\n",
+      "    \"metadata\": {\n",
+      "      \"category_depth\": 0,\n",
+      "      \"file_directory\": \"example_files\",\n",
+      "      \"filename\": \"msft_openai.pptx\",\n",
+      "      \"last_modified\": \"2024-04-18T06:26:16\",\n",
+      "      \"page_number\": 1,\n",
+      "      \"languages\": [\n",
+      "        \"eng\"\n",
+      "      ],\n",
+      "      \"parent_id\": \"50a4122943273ad2f00ea92bff9c7cb6\",\n",
+      "      \"filetype\": \"application/vnd.openxmlformats-officedocument.presentationml.presentation\"\n",
+      "    }\n",
+      "  },\n",
+      "  {\n",
+      "    \"type\": \"ListItem\",\n",
+      "    \"element_id\": \"388cac345e1c92b9430fcaea95f38f00\",\n",
+      "    \"text\": \"Note: Chat Completion API for GPT-4 models\",\n",
+      "    \"metadata\": {\n",
+      "      \"category_depth\": 0,\n",
+      "      \"file_directory\": \"example_files\",\n",
+      "      \"filename\": \"msft_openai.pptx\",\n",
+      "      \"last_modified\": \"2024-04-18T06:26:16\",\n",
+      "      \"page_number\": 1,\n",
+      "      \"languages\": [\n",
+      "        \"eng\"\n",
+      "      ],\n",
+      "      \"parent_id\": \"50a4122943273ad2f00ea92bff9c7cb6\",\n",
+      "      \"filetype\": \"application/vnd.openxmlformats-officedocument.presentationml.presentation\"\n",
+      "    }\n",
+      "  },\n",
+      "  {\n",
+      "    \"type\": \"ListItem\",\n",
+      "    \"element_id\": \"3533eb5a5284f602853176418c8a178b\",\n",
+      "    \"text\": \"GPT-4 is multimodal (e.g., images + text)\",\n",
+      "    \"metadata\": {\n",
+      "      \"category_depth\": 0,\n",
+      "      \"file_directory\": \"example_files\",\n",
+      "      \"filename\": \"msft_openai.pptx\",\n",
+      "      \"last_modified\": \"2024-04-18T06:26:16\",\n",
+      "      \"page_number\": 1,\n",
+      "      \"languages\": [\n",
+      "        \"eng\"\n",
+      "      ],\n",
+      "      \"parent_id\": \"50a4122943273ad2f00ea92bff9c7cb6\",\n",
+      "      \"filetype\": \"application/vnd.openxmlformats-officedocument.presentationml.presentation\"\n",
+      "    }\n",
+      "  }\n",
+      "]\n"
+     ]
+    }
+   ],
+   "source": [
+    "element_dict = [el.to_dict() for el in elements]\n",
+    "# 直接渲染并展示 JSON 字符串  Jupyter Notebook 中使用  可选运行\n",
+    "# JSON(json.dumps(element_dict, indent=2))\n",
+    "\n",
+    "print((json.dumps(element_dict, indent=2)))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b5ecce31-081c-4e51-89ae-06cc8d9eaf2d",
+   "metadata": {},
+   "source": [
+    "### 3.3 规范化处理论文 PDF"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c69f6942-f30c-4724-9a8c-a42c1729b7b2",
+   "metadata": {},
+   "source": [
+    "通过创建一个 Image 对象并设置相关参数，实现了将指定路径下的论文某一页的图片按照设定的尺寸显示在 Jupyter Notebook 中。"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "037167ed-21bf-4af3-84a4-21f4b88a0b1c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<IPython.core.display.Image object>"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {
+      "image/png": {
+       "height": 600,
+       "width": 600
+      }
+     },
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "Image(filename=\"images/3-3.png\",\n",
+    "      height=600, width=600\n",
+    "     )"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e2376404-c1a0-455c-a8d8-8384fcb54576",
+   "metadata": {},
+   "source": [
+    "使用 unstructured API 处理 PDF 文档的具体步骤如下：\n",
+    "\n",
+    "1. **理解 PDF 文档的特点**：PDF 文档与 HTML 或 PowerPoint 文档不同，它们通常包含视觉线索，如文本格式设置，这些线索可以帮助识别文档中的标题、叙述性文本和表格等元素。\n",
+    "\n",
+    "2. **查找标题和文本**：在 PDF 中，标题可能会被标记为粗体并加下划线，而叙述性文本可能是更长、更厚重且包含多个句子的文本，没有粗体或下划线的强调。\n",
+    "\n",
+    "3. **设置 unstructured API 客户端**：因为 PDF 处理是**基于模型的工作负载**，这在计算上是昂贵的，所以使用 API 可以简化这一过程。首先，需要设置 unstructured API 客户端，这涉及到配置所需的凭据。\n",
+    "\n",
+    "4. **准备 API 请求**：使用之前设置的 unstructured API 客户端来准备请求。这包括获取 PDF 文件的名称，并将其传递给 API。\n",
+    "\n",
+    "5. **发出 API 请求**：准备好请求后，发出请求以处理 PDF 文件。由于这是一个基于模型的工作负载，处理过程可能需要一些时间。\n",
+    "\n",
+    "6. **接收 JSON 响应**：处理完成后，API 会返回一个 JSON 格式的响应。这个响应包含了文档的元素，如标题、文本段落和表格等。\n",
+    "\n",
+    "7. **探索和使用 JSON 数据**：使用 IPython 的 JSON 显示功能来探索返回的 JSON 数据。这个 JSON 数据将包含文档的规范化表示，使得可以直观地识别出标题和叙述性文本。\n",
+    "\n",
+    "8. **处理和分析**：规范化后的 PDF 内容可以用于进一步的处理和分析，如文本分析、信息抽取等。\n",
+    "\n",
+    "通过这个过程，用户可以有效地将 PDF 文档中的内容提取出来，并以结构化的 JSON 格式存储，便于 LLM 应用程序进一步使用和分析。"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "dcab4d73-f062-47ff-bc43-43b50753be6d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 待处理 PDF 文件的路径\n",
+    "filename = \"example_files/CoT.pdf\"\n",
+    "\n",
+    "# 调用 unstructured API 的 shared.Files 类来创建一个新对象\n",
+    "# 此对象用于表示待处理的 PDF 文件，其中包括文件内容（通过调用 f.read() 读取）和文件名。\n",
+    "with open(filename, \"rb\") as f:\n",
+    "    files=shared.Files(\n",
+    "        content=f.read(), \n",
+    "        file_name=filename,\n",
+    "    )\n",
+    "\n",
+    "# 调用 shared.PartitionParameters 来配置如何处理上一步创建的 PDF 文件对象\n",
+    "# 包括使用高分辨率 ('hi_res') 策略、启用 PDF 表格结构推断 (pdf_infer_table_structure=True) 以及设置语言为英语 (languages=[\"eng\"])。\n",
+    "req = shared.PartitionParameters(\n",
+    "    files=files,\n",
+    "    strategy='hi_res',\n",
+    "    pdf_infer_table_structure=True,\n",
+    "    languages=[\"eng\"],\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "89593efa-3a04-4f70-b36d-9d79eef91d74",
+   "metadata": {},
+   "source": [
+    "在一个 try-except 块中，我们尝试调用一个假定存在于 s.general.partition(req) 中的方法或函数，该函数或方法尚未定义。此次调用基于先前配置的参数（即 req）来执行实际的 PDF 处理任务。\n",
+    "\n",
+    "若成功执行，程序将打印出响应对象（resp）中元素列表的前六项，并使用 JSON 格式进行美化输出。\n",
+    "\n",
+    "若在此过程中抛出名为 SDKError 的异常，我们将捕获该异常并打印出相应的错误信息。这种异常处理机制确保了程序在遇到错误时不会直接崩溃，而是能够提供有用的错误反馈。"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ee46b994-9628-4eca-acba-f649aa06ccaf",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[\n",
+      "  {\n",
+      "    \"type\": \"Title\",\n",
+      "    \"element_id\": \"826446fa7830f0352c88808f40b0cc9b\",\n",
+      "    \"text\": \"B All Experimental Results\",\n",
+      "    \"metadata\": {\n",
+      "      \"filetype\": \"application/pdf\",\n",
+      "      \"languages\": [\n",
+      "        \"eng\"\n",
+      "      ],\n",
+      "      \"page_number\": 1,\n",
+      "      \"filename\": \"CoT.pdf\"\n",
+      "    }\n",
+      "  },\n",
+      "  {\n",
+      "    \"type\": \"NarrativeText\",\n",
+      "    \"element_id\": \"055f2fa97fbdee35766495a3452ebd9d\",\n",
+      "    \"text\": \"This section contains tables for experimental results for varying models and model sizes, on all benchmarks, for standard prompting vs. chain-of-thought prompting.\",\n",
+      "    \"metadata\": {\n",
+      "      \"filetype\": \"application/pdf\",\n",
+      "      \"languages\": [\n",
+      "        \"eng\"\n",
+      "      ],\n",
+      "      \"page_number\": 1,\n",
+      "      \"parent_id\": \"826446fa7830f0352c88808f40b0cc9b\",\n",
+      "      \"filename\": \"CoT.pdf\"\n",
+      "    }\n",
+      "  },\n",
+      "  {\n",
+      "    \"type\": \"NarrativeText\",\n",
+      "    \"element_id\": \"9bf5af5255b80aace01b2da84ea86531\",\n",
+      "    \"text\": \"For the arithmetic reasoning benchmarks, some chains of thought (along with the equations produced) were correct, except the model performed an arithmetic operation incorrectly. A similar observation was made in Cobbe et al. (2021). Hence, we can further add a Python program as an external calculator (using the Python eval function) to all the equations in the generated chain of thought. When there are multiple equations in a chain of thought, we propagate the external calculator results from one equation to the following equations via string matching. As shown in Table 1, we see that adding a calculator signi\\ufb01cantly boosts performance of chain-of-thought prompting on most tasks.\",\n",
+      "    \"metadata\": {\n",
+      "      \"filetype\": \"application/pdf\",\n",
+      "      \"languages\": [\n",
+      "        \"eng\"\n",
+      "      ],\n",
+      "      \"page_number\": 1,\n",
+      "      \"parent_id\": \"826446fa7830f0352c88808f40b0cc9b\",\n",
+      "      \"filename\": \"CoT.pdf\"\n",
+      "    }\n",
+      "  },\n",
+      "  {\n",
+      "    \"type\": \"NarrativeText\",\n",
+      "    \"element_id\": \"46381dc72867b437cb990fc7734840ee\",\n",
+      "    \"text\": \"Table 1: Chain of thought prompting outperforms standard prompting for various large language models on \\ufb01ve arithmetic reasoning benchmarks. All metrics are accuracy (%). Ext. calc.: post-hoc external calculator for arithmetic computations only. Prior best numbers are from the following. a: Cobbe et al. (2021). b & e: Pi et al. (2022), c: Lan et al. (2021), d: Pi\\u02dbekos et al. (2021).\",\n",
+      "    \"metadata\": {\n",
+      "      \"filetype\": \"application/pdf\",\n",
+      "      \"languages\": [\n",
+      "        \"eng\"\n",
+      "      ],\n",
+      "      \"page_number\": 1,\n",
+      "      \"parent_id\": \"826446fa7830f0352c88808f40b0cc9b\",\n",
+      "      \"filename\": \"CoT.pdf\"\n",
+      "    }\n",
+      "  },\n",
+      "  {\n",
+      "    \"type\": \"Table\",\n",
+      "    \"element_id\": \"3d22e4ba38f71ed038e9a72e4e8e225d\",\n",
+      "    \"text\": \"Prior best Prompting N/A (\\ufb01netuning) 55a GSM8K SVAMP ASDiv 57.4b 75.3c AQuA 37.9d MAWPS 88.4e UL2 20B Standard Chain of thought 4.4 (+0.3) + ext. calc 4.1 6.9 10.1 12.5 (+2.4) 16.9 (+0.9) 23.6 (+3.1) 28.3 16.0 20.5 34.3 23.6 16.6 19.1 (+2.5) 42.7 LaMDA 137B Standard Chain of thought 14.3 (+7.8) + ext. calc 6.5 17.8 29.5 37.5 (+8.0) 46.6 (+6.5) 20.6 (-4.9) 42.1 40.1 25.5 53.4 20.6 43.2 57.9 (+14.7) 69.3 GPT-3 175B (text-davinci-002) Chain of thought 46.9 (+31.3) 68.9 (+3.2) 71.3 (+1.0) 35.8 (+11.0) 87.1 (+14.4) Standard 15.6 65.7 70.3 24.8 72.7 + ext. calc 49.6 70.3 71.1 35.8 87.5 Codex (code-davinci-002) Chain of thought 63.1 (+43.4) 76.4 (+6.5) 80.4 (+6.4) 45.3 (+15.8) 92.6 (+13.9) Standard 19.7 69.9 74.0 29.5 78.7 + ext. calc 65.4 77.0 80.0 45.3 93.3 PaLM 540B Standard Chain of thought 56.9 (+39.0) 79.0 (+9.6) 73.9 (+1.8) 35.8 (+10.6) 93.3 (+14.2) + ext. calc 17.9 69.4 72.1 25.2 79.2 79.8 58.6 72.6 35.8 93.5\",\n",
+      "    \"metadata\": {\n",
+      "      \"text_as_html\": \"<table><thead><th></th><th>Prompting</th><th>GSMBK</th><th>SVAMP</th><th>ASDiv</th><th>AQUA</th><th>MAWPS</th></thead><tr><td>Prior best</td><td>(finetuning)</td><td>55\\u00a2</td><td>57.4\\u00b0</td><td>75.3\\u00a2</td><td>37.9\\u00a2</td><td>88.4\\u00a2</td></tr><tr><td rowspan=\\\"3\\\">UL2 20B</td><td>Standard</td><td>4.1</td><td>10.1</td><td>16.0</td><td>20.5</td><td>16.6</td></tr><tr><td></td><td>Chain of thought</td><td>4.4 (+0.3)</td><td>12.5 2.4</td><td>16.9 (+0.9)</td><td>23.6 (+3.1)</td><td>19.1 (2.5</td></tr><tr><td></td><td>+ ext. cale</td><td>.9</td><td>283</td><td>343</td><td>23.6</td><td>4.7</td></tr><tr><td rowspan=\\\"3\\\">LaMDA 137B</td><td>Standard</td><td>6.5</td><td>29.5</td><td>40.1</td><td>25.5</td><td>432</td></tr><tr><td></td><td>Chain of thought</td><td>14.3 (+7.8)</td><td>37.5 +8.0)</td><td>46.6 (+6.5)</td><td>20.6 (-4.9)</td><td>57.9 (+14.7)</td></tr><tr><td></td><td>+ ext. cale</td><td>78</td><td>42.</td><td>534</td><td>20.6</td><td>69.3</td></tr><tr><td>GPT-3 175B</td><td>Standard</td><td>15.6</td><td>65.7</td><td>70.3</td><td>24.8</td><td>72.7</td></tr><tr><td rowspan=\\\"2\\\">(text-davinci-002)</td><td>Chain of thought</td><td>46.9 (+31.3)</td><td>68.9 +3.2)</td><td>71.3 (+1.0)</td><td>35.8 (+11.0)</td><td>87.1 (+14.4)</td></tr><tr><td></td><td>+ ext. cale</td><td>49.6</td><td>0.3</td><td>71.1</td><td>358</td><td>875</td></tr><tr><td>Codex</td><td>Standard</td><td>19.7</td><td>69.9</td><td>74.0</td><td>29.5</td><td>8.7</td></tr><tr><td rowspan=\\\"2\\\">(code-davinci-002)</td><td>Chain of thought</td><td>63.1 (+434)</td><td>76.4 (+6.5)</td><td>80.4 (+6.4)</td><td>45.3 (+15.8)</td><td>92.6 (+13.9)</td></tr><tr><td></td><td>+ ext. cale</td><td>65.4</td><td>77.0</td><td>80.0</td><td>453</td><td>933</td></tr><tr><td rowspan=\\\"3\\\">PalLM 540B</td><td></td><td>Standard</td><td>17.9</td><td>69.4</td><td>72.1</td><td>252</td><td>79.2</td></tr><tr><td></td><td>Chain of thought</td><td>56.9 +39.0)</td><td>79.0 (+9.6)</td><td>73.9 (+1.8)</td><td>35.8 (+10.6)</td><td>93.3 (+142)</td></tr><tr><td>+ ext. cale</td><td>58.6</td><td>79.8</td><td>726</td><td>358</td><td>935</td></tr></table>\",\n",
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+      "          \"content\": \"Prompting\"\n",
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+      "          \"w\": 1,\n",
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+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"283\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 3,\n",
+      "          \"y\": 5,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"29.5\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 3,\n",
+      "          \"y\": 6,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"37.5 +8.0)\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 3,\n",
+      "          \"y\": 7,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"42.\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 3,\n",
+      "          \"y\": 8,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"65.7\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 3,\n",
+      "          \"y\": 9,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"68.9 +3.2)\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 3,\n",
+      "          \"y\": 10,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"0.3\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 3,\n",
+      "          \"y\": 11,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"69.9\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 3,\n",
+      "          \"y\": 12,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"76.4 (+6.5)\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 3,\n",
+      "          \"y\": 13,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"77.0\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 3,\n",
+      "          \"y\": 14,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"69.4\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 3,\n",
+      "          \"y\": 15,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"79.0 (+9.6)\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 3,\n",
+      "          \"y\": 16,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"79.8\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 4,\n",
+      "          \"y\": 0,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"ASDiv\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 4,\n",
+      "          \"y\": 1,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"75.3\\u00a2\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 4,\n",
+      "          \"y\": 2,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"16.0\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 4,\n",
+      "          \"y\": 3,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"16.9 (+0.9)\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 4,\n",
+      "          \"y\": 4,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"343\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 4,\n",
+      "          \"y\": 5,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"40.1\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 4,\n",
+      "          \"y\": 6,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"46.6 (+6.5)\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 4,\n",
+      "          \"y\": 7,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"534\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 4,\n",
+      "          \"y\": 8,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"70.3\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 4,\n",
+      "          \"y\": 9,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"71.3 (+1.0)\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 4,\n",
+      "          \"y\": 10,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"71.1\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 4,\n",
+      "          \"y\": 11,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"74.0\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 4,\n",
+      "          \"y\": 12,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"80.4 (+6.4)\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 4,\n",
+      "          \"y\": 13,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"80.0\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 4,\n",
+      "          \"y\": 14,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"72.1\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 4,\n",
+      "          \"y\": 15,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"73.9 (+1.8)\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 4,\n",
+      "          \"y\": 16,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"726\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 5,\n",
+      "          \"y\": 0,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"AQUA\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 5,\n",
+      "          \"y\": 1,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"37.9\\u00a2\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 5,\n",
+      "          \"y\": 2,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"20.5\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 5,\n",
+      "          \"y\": 3,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"23.6 (+3.1)\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 5,\n",
+      "          \"y\": 4,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"23.6\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 5,\n",
+      "          \"y\": 5,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"25.5\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 5,\n",
+      "          \"y\": 6,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"20.6 (-4.9)\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 5,\n",
+      "          \"y\": 7,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"20.6\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 5,\n",
+      "          \"y\": 8,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"24.8\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 5,\n",
+      "          \"y\": 9,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"35.8 (+11.0)\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 5,\n",
+      "          \"y\": 10,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"358\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 5,\n",
+      "          \"y\": 11,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"29.5\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 5,\n",
+      "          \"y\": 12,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"45.3 (+15.8)\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 5,\n",
+      "          \"y\": 13,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"453\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 5,\n",
+      "          \"y\": 14,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"252\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 5,\n",
+      "          \"y\": 15,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"35.8 (+10.6)\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 5,\n",
+      "          \"y\": 16,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"358\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 6,\n",
+      "          \"y\": 0,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"MAWPS\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 6,\n",
+      "          \"y\": 1,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"88.4\\u00a2\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 6,\n",
+      "          \"y\": 2,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"16.6\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 6,\n",
+      "          \"y\": 3,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"19.1 (2.5\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 6,\n",
+      "          \"y\": 4,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"4.7\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 6,\n",
+      "          \"y\": 5,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"432\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 6,\n",
+      "          \"y\": 6,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"57.9 (+14.7)\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 6,\n",
+      "          \"y\": 7,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"69.3\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 6,\n",
+      "          \"y\": 8,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"72.7\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 6,\n",
+      "          \"y\": 9,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"87.1 (+14.4)\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 6,\n",
+      "          \"y\": 10,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"875\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 6,\n",
+      "          \"y\": 11,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"8.7\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 6,\n",
+      "          \"y\": 12,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"92.6 (+13.9)\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 6,\n",
+      "          \"y\": 13,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"933\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 6,\n",
+      "          \"y\": 14,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"79.2\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 6,\n",
+      "          \"y\": 15,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"93.3 (+142)\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 6,\n",
+      "          \"y\": 16,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 1,\n",
+      "          \"content\": \"935\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 0,\n",
+      "          \"y\": 5,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 3,\n",
+      "          \"content\": \"LaMDA 137B\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 0,\n",
+      "          \"y\": 2,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 3,\n",
+      "          \"content\": \"UL2 20B\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 0,\n",
+      "          \"y\": 14,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 3,\n",
+      "          \"content\": \"PalLM 540B\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 0,\n",
+      "          \"y\": 12,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 2,\n",
+      "          \"content\": \"(code-davinci-002)\"\n",
+      "        },\n",
+      "        {\n",
+      "          \"x\": 0,\n",
+      "          \"y\": 9,\n",
+      "          \"w\": 1,\n",
+      "          \"h\": 2,\n",
+      "          \"content\": \"(text-davinci-002)\"\n",
+      "        }\n",
+      "      ],\n",
+      "      \"filetype\": \"application/pdf\",\n",
+      "      \"languages\": [\n",
+      "        \"eng\"\n",
+      "      ],\n",
+      "      \"page_number\": 1,\n",
+      "      \"parent_id\": \"826446fa7830f0352c88808f40b0cc9b\",\n",
+      "      \"filename\": \"CoT.pdf\"\n",
+      "    }\n",
+      "  },\n",
+      "  {\n",
+      "    \"type\": \"Footer\",\n",
+      "    \"element_id\": \"0301f13983c12f215df253d2e16300d0\",\n",
+      "    \"text\": \"20\",\n",
+      "    \"metadata\": {\n",
+      "      \"filetype\": \"application/pdf\",\n",
+      "      \"languages\": [\n",
+      "        \"eng\"\n",
+      "      ],\n",
+      "      \"page_number\": 1,\n",
+      "      \"filename\": \"CoT.pdf\"\n",
+      "    }\n",
+      "  }\n",
+      "]\n"
+     ]
+    }
+   ],
+   "source": [
+    "try:\n",
+    "    resp = s.general.partition(req)\n",
+    "    print(json.dumps(resp.elements[:6], indent=2))\n",
+    "except SDKError as e:\n",
+    "    print(e)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "7c44f3c8-cd94-440b-a9cc-01db643f44d9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 直接渲染并展示 JSON 字符串  Jupyter Notebook 中使用  可选运行\n",
+    "# JSON(json.dumps(resp.elements, indent=2))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f9e21878-24e1-4967-b5da-c3e0cdf8a69a",
+   "metadata": {},
+   "source": [
+    "### 3.4 使用您自己的文件来测试"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c9fb9aa7-53e3-4c89-bceb-c55362eb1e16",
+   "metadata": {},
+   "source": [
+    "读者还可以自行测试自己本地文档哦~\n",
+    "\n",
+    "比如，使用本地的一个 **Word 文档**，文件名为大语言模型原理简介及高校训练实践.docx"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "1719bf7c-9f66-4bcb-a2ea-84098f46134f",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "大语言模型原理简介及高校训练实践.docx  el_nino.html\t msft_openai.pptx\n",
+      "CoT.pdf\t\t\t\t       medium_blog.html\n"
+     ]
+    }
+   ],
+   "source": [
+    "!ls ./example_files"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5892874f-ad66-47d6-b08e-234dd66e35d4",
+   "metadata": {},
+   "source": [
+    "这段代码解决了如何在 Jupyter Notebook 环境下简洁地实现文件上传功能的问题。它通过利用 Panel 库和自定义的 UploadFile 类，创建了一个用户友好且易于集成的文件上传界面。用户可以通过这个界面上传文件，然后开发者可以对这些文件进行进一步处理或分析。\n",
+    "\n",
+    "注意：在本地运行此代码并无实际作用，因为代码和文件均已在本地存在。该步骤仅适用于在 learn.deeplearning.ai 课程平台上上传文件并在线运行代码的场景。"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "787ac74e-f9be-4104-876f-bd83bcb72f29",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       "<style>*[data-root-id],\n",
+       "*[data-root-id] > * {\n",
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+       "  color: var(--vscode-editor-foreground, var(--jp-ui-font-color1));\n",
+       "}\n",
+       "\n",
+       "/* Override VSCode background color */\n",
+       ".cell-output-ipywidget-background:has(\n",
+       "    > .cell-output-ipywidget-background > .lm-Widget > *[data-root-id]\n",
+       "  ),\n",
+       ".cell-output-ipywidget-background:has(> .lm-Widget > *[data-root-id]) {\n",
+       "  background-color: transparent !important;\n",
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+       "<div id='53dc647e-86d5-4261-8ae8-78100d518b7c'>\n",
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+       "</div>\n",
+       "<script type=\"application/javascript\">(function(root) {\n",
+       "  var docs_json = {\"febc7f00-5e38-4c8f-9a2e-1cc86960cfc9\":{\"version\":\"3.1.1\",\"title\":\"Bokeh Application\",\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"mode\",\"kind\":\"Any\",\"default\":\"warn\"},{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"toggle_value1\",\"properties\":[{\"name\":\"active_icons\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"options\",\"kind\":\"Any\",\"default\":{\"type\":\"map\",\"entries\":[[\"favorite\",\"heart\"]]}},{\"name\":\"value\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"_reactions\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"_base_url\",\"kind\":\"Any\",\"default\":\"https://tabler-icons.io/static/tabler-icons/icons/\"}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationAreaBase1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]}],\"roots\":[{\"type\":\"object\",\"name\":\"panel.models.browser.BrowserInfo\",\"id\":\"53dc647e-86d5-4261-8ae8-78100d518b7c\"},{\"type\":\"object\",\"name\":\"panel.models.comm_manager.CommManager\",\"id\":\"fe15f9cd-93ff-41c8-bda7-0fe677af7814\",\"attributes\":{\"plot_id\":\"53dc647e-86d5-4261-8ae8-78100d518b7c\",\"comm_id\":\"e63105e9b3b545aaa061eb4caaccb1ff\",\"client_comm_id\":\"dee951cec9ed4d14a9076430dab48837\"}}],\"callbacks\":{\"type\":\"map\"}}};\n",
+       "  var render_items = [{\"docid\":\"febc7f00-5e38-4c8f-9a2e-1cc86960cfc9\",\"roots\":{\"53dc647e-86d5-4261-8ae8-78100d518b7c\":\"c9d33e09-5f0e-4861-a804-23bb98d9094d\"},\"root_ids\":[\"53dc647e-86d5-4261-8ae8-78100d518b7c\"]}];\n",
+       "  var docs = Object.values(docs_json)\n",
+       "  if (!docs) {\n",
+       "    return\n",
+       "  }\n",
+       "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
+       "  const is_dev = py_version.indexOf(\"+\") !== -1 || py_version.indexOf(\"-\") !== -1\n",
+       "  function embed_document(root) {\n",
+       "    var Bokeh = get_bokeh(root)\n",
+       "    Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+       "    for (const render_item of render_items) {\n",
+       "      for (const root_id of render_item.root_ids) {\n",
+       "\tconst id_el = document.getElementById(root_id)\n",
+       "\tif (id_el.children.length && (id_el.children[0].className === 'bk-root')) {\n",
+       "\t  const root_el = id_el.children[0]\n",
+       "\t  root_el.id = root_el.id + '-rendered'\n",
+       "\t}\n",
+       "      }\n",
+       "    }\n",
+       "  }\n",
+       "  function get_bokeh(root) {\n",
+       "    if (root.Bokeh === undefined) {\n",
+       "      return null\n",
+       "    } else if (root.Bokeh.version !== py_version && !is_dev) {\n",
+       "      if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {\n",
+       "\treturn null\n",
+       "      }\n",
+       "      return root.Bokeh.versions.get(py_version);\n",
+       "    } else if (root.Bokeh.version === py_version) {\n",
+       "      return root.Bokeh\n",
+       "    }\n",
+       "    return null\n",
+       "  }\n",
+       "  function is_loaded(root) {\n",
+       "    var Bokeh = get_bokeh(root)\n",
+       "    return (Bokeh != null && Bokeh.Panel !== undefined)\n",
+       "  }\n",
+       "  if (is_loaded(root)) {\n",
+       "    embed_document(root);\n",
+       "  } else {\n",
+       "    var attempts = 0;\n",
+       "    var timer = setInterval(function(root) {\n",
+       "      if (is_loaded(root)) {\n",
+       "        clearInterval(timer);\n",
+       "        embed_document(root);\n",
+       "      } else if (document.readyState == \"complete\") {\n",
+       "        attempts++;\n",
+       "        if (attempts > 200) {\n",
+       "          clearInterval(timer);\n",
+       "\t  var Bokeh = get_bokeh(root)\n",
+       "\t  if (Bokeh == null || Bokeh.Panel == null) {\n",
+       "            console.warn(\"Panel: ERROR: Unable to run Panel code because Bokeh or Panel library is missing\");\n",
+       "\t  } else {\n",
+       "\t    console.warn(\"Panel: WARNING: Attempting to render but not all required libraries could be resolved.\")\n",
+       "\t    embed_document(root)\n",
+       "\t  }\n",
+       "        }\n",
+       "      }\n",
+       "    }, 25, root)\n",
+       "  }\n",
+       "})(window);</script>"
+      ]
+     },
+     "metadata": {
+      "application/vnd.holoviews_exec.v0+json": {
+       "id": "53dc647e-86d5-4261-8ae8-78100d518b7c"
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {},
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.holoviews_exec.v0+json": "",
+      "text/html": [
+       "<div id='ac7b3236-15d9-4d41-bc6e-46d69314ad74'>\n",
+       "  <div id=\"b2887ef9-2eaf-45e6-a560-4ece255155de\" data-root-id=\"ac7b3236-15d9-4d41-bc6e-46d69314ad74\" style=\"display: contents;\"></div>\n",
+       "</div>\n",
+       "<script type=\"application/javascript\">(function(root) {\n",
+       "  var docs_json = {\"0a5945d1-f851-4717-b127-d2c5c2e2ce26\":{\"version\":\"3.1.1\",\"title\":\"Bokeh Application\",\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"mode\",\"kind\":\"Any\",\"default\":\"warn\"},{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"toggle_value1\",\"properties\":[{\"name\":\"active_icons\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"options\",\"kind\":\"Any\",\"default\":{\"type\":\"map\",\"entries\":[[\"favorite\",\"heart\"]]}},{\"name\":\"value\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"_reactions\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"_base_url\",\"kind\":\"Any\",\"default\":\"https://tabler-icons.io/static/tabler-icons/icons/\"}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationAreaBase1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]}],\"roots\":[{\"type\":\"object\",\"name\":\"Row\",\"id\":\"ac7b3236-15d9-4d41-bc6e-46d69314ad74\",\"attributes\":{\"name\":\"Row00129\",\"stylesheets\":[\"\\n:host(.pn-loading.pn-arc):before, .pn-loading.pn-arc:before {\\n  background-image: url(\\\"data:image/svg+xml;base64,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\\\");\\n  background-size: auto calc(min(50%, 400px));\\n}\",{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"7223355e-f8e6-4b37-a224-b5a29b5214d4\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.3.0-a.8/dist/css/loading.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"e9140d1d-f3c8-46e8-8c2c-cc0f5fbd2838\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.3.0-a.8/dist/css/listpanel.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"b85e25a7-29c6-453d-b6d6-4eb0c506cc91\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.3.0-a.8/dist/bundled/theme/default.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"3c576c5f-2a2f-46c2-b355-7578585c9270\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.3.0-a.8/dist/bundled/theme/native.css\"}}],\"margin\":0,\"align\":\"start\",\"children\":[{\"type\":\"object\",\"name\":\"FileInput\",\"id\":\"60adb6d9-cde3-4c9f-a87a-e10d42f3b5c4\",\"attributes\":{\"stylesheets\":[\"\\n:host(.pn-loading.pn-arc):before, .pn-loading.pn-arc:before {\\n  background-image: url(\\\"data:image/svg+xml;base64,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\\\");\\n  background-size: auto calc(min(50%, 400px));\\n}\",{\"id\":\"7223355e-f8e6-4b37-a224-b5a29b5214d4\"},{\"id\":\"b85e25a7-29c6-453d-b6d6-4eb0c506cc91\"},{\"id\":\"3c576c5f-2a2f-46c2-b355-7578585c9270\"}],\"margin\":[5,10],\"align\":\"start\",\"accept\":\".pdf,.ppt,.png,.html\"}}]}},{\"type\":\"object\",\"name\":\"panel.models.comm_manager.CommManager\",\"id\":\"ace10b6a-81ce-497c-9b01-3a7dc1d2e544\",\"attributes\":{\"plot_id\":\"ac7b3236-15d9-4d41-bc6e-46d69314ad74\",\"comm_id\":\"7dfe698044a54496890af38724569964\",\"client_comm_id\":\"d71a9655949748f89aa8a70a5fab5f2b\"}}],\"callbacks\":{\"type\":\"map\"}}};\n",
+       "  var render_items = [{\"docid\":\"0a5945d1-f851-4717-b127-d2c5c2e2ce26\",\"roots\":{\"ac7b3236-15d9-4d41-bc6e-46d69314ad74\":\"b2887ef9-2eaf-45e6-a560-4ece255155de\"},\"root_ids\":[\"ac7b3236-15d9-4d41-bc6e-46d69314ad74\"]}];\n",
+       "  var docs = Object.values(docs_json)\n",
+       "  if (!docs) {\n",
+       "    return\n",
+       "  }\n",
+       "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
+       "  const is_dev = py_version.indexOf(\"+\") !== -1 || py_version.indexOf(\"-\") !== -1\n",
+       "  function embed_document(root) {\n",
+       "    var Bokeh = get_bokeh(root)\n",
+       "    Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+       "    for (const render_item of render_items) {\n",
+       "      for (const root_id of render_item.root_ids) {\n",
+       "\tconst id_el = document.getElementById(root_id)\n",
+       "\tif (id_el.children.length && (id_el.children[0].className === 'bk-root')) {\n",
+       "\t  const root_el = id_el.children[0]\n",
+       "\t  root_el.id = root_el.id + '-rendered'\n",
+       "\t}\n",
+       "      }\n",
+       "    }\n",
+       "  }\n",
+       "  function get_bokeh(root) {\n",
+       "    if (root.Bokeh === undefined) {\n",
+       "      return null\n",
+       "    } else if (root.Bokeh.version !== py_version && !is_dev) {\n",
+       "      if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {\n",
+       "\treturn null\n",
+       "      }\n",
+       "      return root.Bokeh.versions.get(py_version);\n",
+       "    } else if (root.Bokeh.version === py_version) {\n",
+       "      return root.Bokeh\n",
+       "    }\n",
+       "    return null\n",
+       "  }\n",
+       "  function is_loaded(root) {\n",
+       "    var Bokeh = get_bokeh(root)\n",
+       "    return (Bokeh != null && Bokeh.Panel !== undefined)\n",
+       "  }\n",
+       "  if (is_loaded(root)) {\n",
+       "    embed_document(root);\n",
+       "  } else {\n",
+       "    var attempts = 0;\n",
+       "    var timer = setInterval(function(root) {\n",
+       "      if (is_loaded(root)) {\n",
+       "        clearInterval(timer);\n",
+       "        embed_document(root);\n",
+       "      } else if (document.readyState == \"complete\") {\n",
+       "        attempts++;\n",
+       "        if (attempts > 200) {\n",
+       "          clearInterval(timer);\n",
+       "\t  var Bokeh = get_bokeh(root)\n",
+       "\t  if (Bokeh == null || Bokeh.Panel == null) {\n",
+       "            console.warn(\"Panel: ERROR: Unable to run Panel code because Bokeh or Panel library is missing\");\n",
+       "\t  } else {\n",
+       "\t    console.warn(\"Panel: WARNING: Attempting to render but not all required libraries could be resolved.\")\n",
+       "\t    embed_document(root)\n",
+       "\t  }\n",
+       "        }\n",
+       "      }\n",
+       "    }, 25, root)\n",
+       "  }\n",
+       "})(window);</script>"
+      ],
+      "text/plain": [
+       "Row\n",
+       "    [0] FileInput(accept='.pdf,.ppt,.png,.html')"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {
+      "application/vnd.holoviews_exec.v0+json": {
+       "id": "ac7b3236-15d9-4d41-bc6e-46d69314ad74"
+      }
+     },
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import panel as pn\n",
+    "from Utils_Ch3 import UploadFile\n",
+    "\n",
+    "# 初始化 Panel 扩展\n",
+    "pn.extension()\n",
+    "\n",
+    "# 创建文件上传组件\n",
+    "upld_widget = UploadFile()\n",
+    "# 将文件上传组件添加到 Panel 行中\n",
+    "pn.Row(upld_widget.widget_file_upload)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "aca495dd-3b17-4cc6-926b-2445f108997a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Word 文档（.docx）  代码跟之前处理 PDF 基本一致\n",
+    "filename = \"example_files/大语言模型原理简介及高校训练实践.docx\"\n",
+    "\n",
+    "# 调用 unstructured API 的 shared.Files 类来创建一个新对象\n",
+    "# 此对象用于表示待处理的 Word 文档，其中包括文件内容（通过调用 f.read() 读取）和文件名。\n",
+    "with open(filename, \"rb\") as f:\n",
+    "    files=shared.Files(\n",
+    "        content=f.read(), \n",
+    "        file_name=filename,\n",
+    "    )\n",
+    "\n",
+    "# 调用 shared.PartitionParameters 来配置如何处理上一步创建的 Word 文档对象，包括使用高分辨率 ('hi_res') 策略和设置语言为中文 (languages=[\"zh-cn\"])。\n",
+    "req = shared.PartitionParameters(\n",
+    "    files=files,\n",
+    "    strategy='hi_res',\n",
+    "    languages=[\"zh-cn\"],\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "fb53c7bb-8d51-48be-a6d7-de2ef5663489",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[\n",
+      "  {\n",
+      "    \"type\": \"Title\",\n",
+      "    \"element_id\": \"4bc1caeafd90b78dbaf4236bfc87ccec\",\n",
+      "    \"text\": \"大语言模型原理简介及高校训练实践\",\n",
+      "    \"metadata\": {\n",
+      "      \"category_depth\": 0,\n",
+      "      \"filename\": \"大语言模型原理简介及高校训练实践.docx\",\n",
+      "      \"page_number\": 1,\n",
+      "      \"filetype\": \"application/vnd.openxmlformats-officedocument.wordprocessingml.document\"\n",
+      "    }\n",
+      "  },\n",
+      "  {\n",
+      "    \"type\": \"UncategorizedText\",\n",
+      "    \"element_id\": \"d022562ed2e2c3724ac474996a0c8939\",\n",
+      "    \"text\": \"大语言模型（GPT）是一种基于深度学习的自然语言处理技术，旨在生成高质量的文本。它采用了深度神经网络模型，并利用大量的文本数据进行训练，从而学习到语言的结构、语法和语义等特征。GPT常用于文本生成、文本摘要、问答系统等应用中，其出色的表现引起了广泛的关注。\",\n",
+      "    \"metadata\": {\n",
+      "      \"category_depth\": 0,\n",
+      "      \"filename\": \"大语言模型原理简介及高校训练实践.docx\",\n",
+      "      \"page_number\": 1,\n",
+      "      \"parent_id\": \"4bc1caeafd90b78dbaf4236bfc87ccec\",\n",
+      "      \"filetype\": \"application/vnd.openxmlformats-officedocument.wordprocessingml.document\"\n",
+      "    }\n",
+      "  },\n",
+      "  {\n",
+      "    \"type\": \"Title\",\n",
+      "    \"element_id\": \"723fd90515da349ee769da3e39c32eaa\",\n",
+      "    \"text\": \"GPT的核心结构是一个基于Transformer的神经网络模型。Transformer模型是2017年提出的一种新型架构，相比于传统的循环神经网络或卷积神经网络，Transformer能够更好地捕捉长距离依赖关系，并且在训练过程中能够并行计算，显著提高了训练效率。\",\n",
+      "    \"metadata\": {\n",
+      "      \"category_depth\": 0,\n",
+      "      \"filename\": \"大语言模型原理简介及高校训练实践.docx\",\n",
+      "      \"page_number\": 1,\n",
+      "      \"filetype\": \"application/vnd.openxmlformats-officedocument.wordprocessingml.document\"\n",
+      "    }\n",
+      "  },\n",
+      "  {\n",
+      "    \"type\": \"UncategorizedText\",\n",
+      "    \"element_id\": \"d768d3092ed413179ceade36f341a0a1\",\n",
+      "    \"text\": \"GPT训练的关键是数据集的选择和预处理。通常情况下，训练GPT需要大量的文本数据，比如维基百科、互联网新闻、小说等。选择合适的数据集能够使得GPT学到更丰富、通用的语言知识。在预处理阶段，需要对原始文本进行分词、标注词性等操作，以便模型能够更好地理解语言的结构和意义。\",\n",
+      "    \"metadata\": {\n",
+      "      \"category_depth\": 0,\n",
+      "      \"filename\": \"大语言模型原理简介及高校训练实践.docx\",\n",
+      "      \"page_number\": 1,\n",
+      "      \"parent_id\": \"723fd90515da349ee769da3e39c32eaa\",\n",
+      "      \"filetype\": \"application/vnd.openxmlformats-officedocument.wordprocessingml.document\"\n",
+      "    }\n",
+      "  },\n",
+      "  {\n",
+      "    \"type\": \"PageBreak\",\n",
+      "    \"element_id\": \"00daa4d57c493758419853ca7bbe9146\",\n",
+      "    \"text\": \"\",\n",
+      "    \"metadata\": {\n",
+      "      \"filename\": \"大语言模型原理简介及高校训练实践.docx\",\n",
+      "      \"filetype\": \"application/vnd.openxmlformats-officedocument.wordprocessingml.document\"\n",
+      "    }\n",
+      "  },\n",
+      "  {\n",
+      "    \"type\": \"UncategorizedText\",\n",
+      "    \"element_id\": \"4a41fb830fb2c3256a19e9e7b610e77d\",\n",
+      "    \"text\": \"高校训练实践是指在大学教育领域中应用GPT进行专业知识的学习和教学。在高校中，GPT可以为学生提供更多的学习资源和辅助工具，帮助他们更好地理解和应用所学的知识。同时，GPT也可以用于自动评价学生的作业或论文，在教师的指导下提供反馈和建议。\",\n",
+      "    \"metadata\": {\n",
+      "      \"category_depth\": 0,\n",
+      "      \"filename\": \"大语言模型原理简介及高校训练实践.docx\",\n",
+      "      \"page_number\": 2,\n",
+      "      \"filetype\": \"application/vnd.openxmlformats-officedocument.wordprocessingml.document\"\n",
+      "    }\n",
+      "  }\n",
+      "]\n"
+     ]
+    }
+   ],
+   "source": [
+    "try:\n",
+    "    resp = s.general.partition(req)\n",
+    "    print(json.dumps(resp.elements[:6], indent=2, ensure_ascii=False))\n",
+    "except SDKError as e:\n",
+    "    print(e)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "014b0759-4bfe-49fc-ae3c-ab85e2289f0b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 直接渲染并展示 JSON 字符串  Jupyter Notebook 中使用  可选运行\n",
+    "# JSON(json.dumps(resp.elements, indent=2, ensure_ascii=False))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3441bae2-c610-4976-8ae6-14f8d675bf5c",
+   "metadata": {},
+   "source": [
+    "## 四、本章总结\n",
+    "***\n",
+    "\n",
+    "在本教程中，我们深入探讨了如何将各种文档类型，包括 **PDF、PowerPoint、Word 文档以及 HTML**，转化为统一的规范化格式（JSON），以便我们的 LLM 应用程序能够有效地处理和引用这些文档中的内容。通过一系列的步骤和策略，我们学习了如何将这些文档分解为标题、叙述文本等常见元素，从而简化了处理过程并降低了成本。\n",
+    "\n",
+    "首先，我们认识到了文档规范化的重要性，理解了不同文档格式的存在，并强调了将它们转化为通用格式的必要性。通过规范化，我们能够以统一的方式处理任何文档，过滤掉不必要的元素，如页眉和页脚，并以相同的方式应用下游操作，例如文本分块。\n",
+    "\n",
+    "教程中，我们特别关注了 HTML 和 PPT 文件的预处理，学习了如何利用 HTML 标签和自然语言处理功能来理解和分类文本内容。我们导入了辅助函数，使用 unstructured 开源库的 partition_html 函数对 HTML 文档进行分区，并将其序列化为 JSON，从而为后续处理和分析奠定了基础。对于 PPT 文件，我们了解了如何将旧版 .PPT 文件转换为 .PPTX，并使用 Python 库浏览和预处理内容。通过 unstructured 开源库的 partition_pptx 函数，我们提取了幻灯片中的元素，并将其序列化为易于处理的 JSON 格式。PDF 文件的处理则复杂一点，需要我们寻找视觉线索，如加粗和下划线，来识别标题和叙述性文本。我们使用 unstructured API 来处理 PDF 文件，这不仅简化了处理流程，还因其基于模型的工作负载而提高了效率。\n",
+    "\n",
+    "最后，我们学习了如何将这些文档类型的语料库规范化，为创建一个 **RAG Bot**（一种用于文档知识问答的机器人）打下了好的基础。通过文件上传小部件，我们实践了所学知识，并鼓励读者在自己的文档上尝试这些操作。总的来说，本教程不仅提供了文档预处理的实用技能，还展示了如何通过规范化和序列化，使 LLM 应用程序能够以高效、一致的方式处理各种文档类型。这些技能对于任何希望在 LLM 应用程序中实现文档自动化和知识提取的用户来说都是至关重要的。\n",
+    "\n",
+    "📚 相关链接：\n",
+    "\n",
+    "- Open-Source Pre-Processing Tools for Unstructured Data：https://github.com/Unstructured-IO/unstructured\n",
+    "\n",
+    "- unstructured 能处理的非结构化数据类型：https://github.com/Unstructured-IO/unstructured/tree/main/unstructured/partition\n",
+    "\n",
+    "- **Unstructured 官网 & 博客**：https://unstructured.io/blog"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git "a/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/4. \345\205\203\346\225\260\346\215\256\346\217\220\345\217\226\345\222\214\345\210\206\345\235\227 Metadata E & C.ipynb" "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/4. \345\205\203\346\225\260\346\215\256\346\217\220\345\217\226\345\222\214\345\210\206\345\235\227 Metadata E & C.ipynb"
new file mode 100644
index 00000000..3f7dab39
--- /dev/null
+++ "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/4. \345\205\203\346\225\260\346\215\256\346\217\220\345\217\226\345\222\214\345\210\206\345\235\227 Metadata E & C.ipynb"	
@@ -0,0 +1,2002 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "f8f8bef7-2b46-4a1c-b4cf-a76a08c361d8",
+   "metadata": {},
+   "source": [
+    "# 第四章 元数据提取和分块"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "53e9cfc0",
+   "metadata": {},
+   "source": [
+    "<div class=\"toc\">\n",
+    "    <ul class=\"toc-item\">\n",
+    "        <li><span><a href=\"#一引言\" data-toc-modified-id=\"一、引言\">一、引言</a></span></li>\n",
+    "        <li><span><a href=\"#二元数据\" data-toc-modified-id=\"二、元数据\">二、元数据</a></span></li>\n",
+    "        <li><span><a href=\"#三语义搜索与向量数据库\" data-toc-modified-id=\"三、语义搜索与向量数据库\">三、语义搜索与向量数据库</a></span></li>\n",
+    "        <li><span><a href=\"#四混合搜索\" data-toc-modified-id=\"四、混合搜索\">四、混合搜索</a></span></li>\n",
+    "            <ul class=\"toc-item\">\n",
+    "                <li><span><a href=\"#41-示例瑞士冬季运动电子出版物\" data-toc-modified-id=\"4.1 示例：瑞士冬季运动电子出版物\">4.1 示例：瑞士冬季运动电子出版物</a></span></li>\n",
+    "                <ul class=\"toc-item\">\n",
+    "                    <li><span><a href=\"#411-导入相应库\" data-toc-modified-id=\"4.1.1 导入相应库\">4.1.1 导入相应库</a></span></li>\n",
+    "                    <li><span><a href=\"#412-找到对应章节相关联元素\" data-toc-modified-id=\"4.1.2 找到对应章节相关联元素\">4.1.2 找到对应章节相关联元素</a></span></li>\n",
+    "                    <li><span><a href=\"#413-用-unstructured-api-获取结构化数据\" data-toc-modified-id=\"4.1.3 用 Unstructured API 获取结构化数据\">4.1.3 用 Unstructured API 获取结构化数据</a></span></li>\n",
+    "                    <li><span><a href=\"#414-找到对应章节所需元素\" data-toc-modified-id=\"4.1.4 找到对应章节所需元素\">4.1.4 找到对应章节所需元素</a></span></li>\n",
+    "                    <li><span><a href=\"#415-将文档载入到向量数据库\" data-toc-modified-id=\"4.1.5 将文档载入到向量数据库\">4.1.5 将文档载入到向量数据库</a></span></li>\n",
+    "                    <li><span><a href=\"#416-在数据库中查看结果\" data-toc-modified-id=\"4.1.6 在数据库中查看结果\">4.1.6 在数据库中查看结果</a></span></li>\n",
+    "                    <li><span><a href=\"#417-用元数据执行混合搜素\" data-toc-modified-id=\"4.1.7 用元数据执行混合搜素\">4.1.7 用元数据执行混合搜素</a></span></li>\n",
+    "                </ul>\n",
+    "            </ul>\n",
+    "        <li><span><a href=\"#五内容分块\" data-toc-modified-id=\"五、内容分块\">五、内容分块</a></span></li>\n",
+    "        <li><span><a href=\"#六中文示例\" data-toc-modified-id=\"六、中文示例\">六、中文示例</a></span></li>\n",
+    "        <li><span><a href=\"#七总结\" data-toc-modified-id=\"七、总结\">七、总结</a></span></li>\n",
+    "    </ul>\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0412174f",
+   "metadata": {},
+   "source": [
+    "## 一、引言\n",
+    "***\n",
+    "\n",
+    "在本课程中，我们深入探讨了如何通过元数据的提取与应用来增强文档内容的处理和搜索效率。通过学习，我们获得了以下几方面的知识与技能：\n",
+    "\n",
+    "- **元数据的理解与应用**：我们了解到元数据是文档处理过程中提取的额外信息，它既包括从文档本身提取的信息（如最后修改日期、文件名），也包括在预处理过程中推断出的信息（如元素类型、层级关系）。这些元数据对于构建 RAG 应用程序，尤其是混合搜索功能至关重要。\n",
+    "\n",
+    "- **语义搜索与向量数据库**：我们学习了在 RAG 系统中，如何通过语义搜索来检索与查询相似的文档。通过将文档加载到向量数据库中，并基于相似性得分（一种基于距离的度量）来搜索文档，我们可以更有效地找到所需信息。\n",
+    "\n",
+    "- **混合搜索的优势**：我们认识到在某些情况下，单一的相似性搜索可能不足以满足需求，例如在面对大量匹配项或需要根据时间等其他信息进行结果偏向时。混合搜索通过结合相似性搜索和元数据的结构化信息，提供了过滤选项，使我们能够更精确地定位信息。\n",
+    "\n",
+    "- **文档的智能分块**：我们掌握了如何利用文档元素的元数据来智能分块，而不是简单地按照字符或令牌数量进行等大小分块。通过识别文档中的标题、段落等元素，并将它们逻辑地组合成块，我们可以构建更连贯、更相关的信息块，从而提高搜索的准确性和效率。\n",
+    "\n",
+    "- **实践操作技能**：通过具体的实践操作，我们学习了如何使用非结构化库和 ChromaDB 等工具来处理文档、执行搜索和构建混合搜索系统。这些技能对于开发高效的信息检索和处理系统至关重要。\n",
+    "\n",
+    "- **成本效益与资源优化**：我们认识到通过智能分块和利用元数据，不仅可以提高搜索质量，还可以节省推理成本，特别是对于那些有上下文窗口限制或成本较高的 LLM。\n",
+    "\n",
+    "通过本课程的学习，我们不仅获得了理论知识，还通过实践加深了对文档处理和搜索优化技术的理解，这将为我们在未来的工作中提供强大的支持和帮助。"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "87bd0413",
+   "metadata": {},
+   "source": [
+    "## 二、元数据\n",
+    "***\n",
+    "\n",
+    "在本课程中，我们专注于学习元数据的概念及其重要性。元数据是预处理文档时提取的额外信息，它对文档或文档中的元素进行描述。我们了解到元数据可以分为两个级别：\n",
+    "\n",
+    "1. **文档级别**：这类元数据描述了整个文档的特征，例如最后修改日期或文件名。\n",
+    "\n",
+    "2. **元素级别**：这类元数据则更具体，描述了文档中各个元素的特征，如类别、层级关系等。\n",
+    "\n",
+    "元数据的实际应用包括：\n",
+    "\n",
+    "- **辅助信息**：元数据为我们提供了文本内容之外的辅助信息，这些信息在构建 RAG 应用时特别有用，尤其是在混合搜索系统中。\n",
+    "\n",
+    "- **结构化与非结构化信息**：元数据既可以是直接从文档中提取的结构化信息，如文件名，也可以是在预处理过程中推断出的非结构化信息，如元素类型或层级关系。\n",
+    "\n",
+    "- **实际示例**：在实践中，元数据包括了文本内容之外的诸多细节，比如页码、语言、文件名和元素类型等。这些信息在构建 RAG 应用的混合搜索系统时非常有用，因为它们可以帮助我们更精确地定位和检索信息。\n",
+    "\n",
+    "通过学习元数据，我们能够更好地理解文档的结构和内容，这对于后续的语义搜索和混合搜索至关重要。元数据的提取和应用，为我们在处理大量文档和信息时提供了一种有效的方法，使得信息检索更加准确和高效。"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ccc2dee4",
+   "metadata": {},
+   "source": [
+    "## 三、语义搜索与向量数据库\n",
+    "***\n",
+    "\n",
+    "在 RAG 系统中，我们通常通过语义搜索从向量数据库中检索文档。语义搜索寻找与查询相似的内容。详细来讲，在检索增强生成系统中，通常的第一步是从向量数据库中检索文档。因此，在将文档加载到向量数据库中后，您运行一个查询，然后根据相似性得分（基于距离的度量）搜索文档。语义搜索检索与查询相似的文档，从而促进了为 LLM（大型语言模型）生成提示的过程。\n",
+    "\n",
+    "**但有些情况下，相似搜索并不理想**，无法返回您的 RAG 系统所需的信息。在某些情况下，可能会出现匹配项过多的情况。当文档涉及相同主题时，就会发生这种情况，如果您搜索该主题，将会返回大量信息。您可能还希望根据其他信息偏置您的结果，例如更近期的信息。因此，您可能不只是想要最相似的内容，而是想要发生在特定时间范围内的最相似的内容。"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "41d16e1b",
+   "metadata": {},
+   "source": [
+    "## 四、混合搜索\n",
+    "***\n",
+    "\n",
+    "**为了解决这些挑战，我们引入了混合搜索**。混合搜索将**语义搜索**与从文档中提取的**结构化元数据**相结合。**元数据**可作为**过滤选项**，允许将搜索限制在特定部分或基于其他标准，如最近性。"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5a1bcd37",
+   "metadata": {},
+   "source": [
+    "### 4.1 示例：瑞士冬季运动电子出版物"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2eb72277",
+   "metadata": {},
+   "source": [
+    "#### 4.1.1 导入相应库"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "523f46f8-a35a-4bc5-aa6c-7270a13e4f72",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 控制 Python 程序中的警告信息输出，避免产生一些不影响程序执行但可能会令用户感到困惑的警告信息。\n",
+    "import warnings\n",
+    "warnings.filterwarnings('ignore')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "96ba771b-4820-4207-9d7d-97aac18c8421",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 设置日志记录器行为\n",
+    "import logging\n",
+    "logger = logging.getLogger()\n",
+    "# CRITICAL 是日志记录器的最高级别。这意味着除最高级别外的其他日志消息都将被忽略，有助于减少程序执行过程中产生的日志消息\n",
+    "logger.setLevel(logging.CRITICAL)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "9ba5e510-91cc-433a-b689-f37f0074de54",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import json\n",
+    "from IPython.display import JSON\n",
+    "\n",
+    "from unstructured_client import UnstructuredClient\n",
+    "from unstructured_client.models import shared\n",
+    "from unstructured_client.models.errors import SDKError\n",
+    "\n",
+    "from unstructured.chunking.title import chunk_by_title\n",
+    "from unstructured.staging.base import dict_to_elements\n",
+    "\n",
+    "# ChromaDB是一个内存中的向量数据库，在这节课中，您将使用它来进行相似搜索\n",
+    "import chromadb"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e0694524",
+   "metadata": {},
+   "source": [
+    "#### 注：Windows下相应环境变量可通过以管理员方式打开 cmd，然后设定以下："
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a9d5db39",
+   "metadata": {
+    "vscode": {
+     "languageId": "shellscript"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "setx DLAI_API_KEY \"<YOUR API KEY>\"\n",
+    "setx DLAI_API_URL \"<API URL>\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "b746665c-479e-4e5b-be9c-59ac5f7aec8c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 载入相应环境变量\n",
+    "from Utils_Ch4 import Utils\n",
+    "utils = Utils()\n",
+    "\n",
+    "DLAI_API_KEY = utils.get_dlai_api_key()\n",
+    "DLAI_API_URL = utils.get_dlai_url()\n",
+    "\n",
+    "# 调用 Unstructured API\n",
+    "s = UnstructuredClient(\n",
+    "    api_key_auth=DLAI_API_KEY,\n",
+    "    server_url=DLAI_API_URL,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6b7456f6-7d15-404c-a164-409e77714fe6",
+   "metadata": {},
+   "source": [
+    "#### 4.1.2 找到对应章节相关联元素"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "b68c4f65-4bb0-4e9b-9179-4c2bd7572b7a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<IPython.core.display.Image object>"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {
+      "image/png": {
+       "height": 400,
+       "width": 400
+      }
+     },
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# 查看对应 pdf 封面（在这里是一个图片）\n",
+    "from IPython.display import Image\n",
+    "Image(filename='images/4-1.png', height=400, width=400)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "892f7b63-ebc4-47fe-a1c6-387edbd06f7b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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yZWVuc2hvdDwvZXhpZjpVc2VyQ29tbWVudD4KICAgICAgPC9yZGY6RGVzY3JpcHRpb24+CiAgIDwvcmRmOlJERj4KPC94OnhtcG1ldGE+CnvBlScAAAAcaURPVAAAAAIAAAAAAAABLAAAACgAAAEsAAABLAAAbOxLetqOAABAAElEQVR4AeydB5wTRf/GJ3dHFRBQiohKFSv2CjbsYi9YsPvafe2+r/21/u2Kvb762gV7b9gL2HtDEBuIiogl1y/z3ye5SWYns5vdZC+XXJ75fO52k8z+ZuY7W579TYtJJwgGEiABEiABEiABEiABEsiTQIyCMk9yPIwESIAESIAESIAESCBJgIKSJwIJkAAJkAAJkAAJkEBBBCgoC8LHg0mABEiABEiABEiABCgoeQ6QAAmQAAmQAAmQAAkURICCsiB8PJgESIAESIAESIAESICCkucACZAACZAACZAACZBAQQQoKAvCx4NJgARIgARIgARIgAQoKHkOkAAJkAAJkAAJkAAJFESAgrIgfDyYBEiABEiABEiABEiAgpLnAAmQAAmQAAmQAAmQQEEEKCgLwseDSYAESIAESIAESIAEKCh5DpAACZAACZAACZAACRREgIKyIHw8mARIgARIgARIgARIgIKS5wAJkAAJkAAJkAAJkEBBBCgoC8LHg0mABEiABEiABEiABCgoeQ6QAAmQAAmQAAmQAAkURICCsiB8PJgESIAESIAESIAESICCkucACZAACZAACZAACZBAQQQoKAvCx4NJgARIgARIgARIgAQoKHkOkAAJkAAJkAAJkAAJFESAgrIgfDyYBEiABEiABEiABEiAgpLnAAmQAAmQAAmQAAmQQEEEKCgLwseDSYAESIAESIAESIAEKCh5DpAACZAACZAACZAACRREgIKyIHw8mARIgARIgARIgARIgIKS5wAJkAAJkAAJkAAJkEBBBCgoC8LHg0mABEiABEiABEiABCgoeQ6QAAmQAAmQAAmQAAkURICCsiB8PJgESofAr7/+KqZOnSreeOMN8dNPPwl8bmhoEN26dRNDhw4VI0eOFMsuu6xYc801xZAhQ0JnfN68eeKJJ54Q7777rsD+L7/8Ijp37iwGDhwoRowYIbbaaiux3nrrierqal/bv//+u3j11VetcYYNGyZWXnll62/ml88880yyfOb3+NyjRw8xZswY8eyzz9p+zvu7RRddNGn3qaeeytuGfuCGG24o+vTpk/yq3LlsvPHGetGS+1JK8fbbbyfPm5kzZybPmbq6uuT5h/MRf+uvv75AvTOQAAmUOQHngmcgARIoYwLz58+XBx54oIzFYtK5HQX623zzzeVLL70UqNSOOJXbb799IPtLLbWUfPzxx33tvvnmm555XGyxxeTcuXN9j8ePX3zxhacNMBg1apScPXu2b5ygrPR4K664ovztt98is/vyyy+ny1ruXNIFad357rvvpPPykpOV8wIi9913XzljxgzTBD+TAAmUEQF6KJ2nBQMJlCuB22+/XZx44onCEZXpIjiiTmyzzTZJr2S/fv3Ezz//LGbNmiWmTJki/vrrr3Q87Lz++utJj5vrS+3Dww8/LA455JC0/a5du4oddthBLLfccgLpLFiwQLz11lviscceE01NTekjd999d3HVVVeJ/v37p79TO/DE3XHHHeK5554TNk/f+PHjkx4tFd+2/fvvv8U999yT9Jb+97//FYlEIhmtZ8+e4qCDDhIbbbSRcESlWGGFFVyHwxO20korJb2qffv2Tab/8ccfp+OMGzdOrLbaaslyOYJIfPTRR8IRkOnfhw8fLhwxK+666y7x6aefiptvvtnFFJ7giRMnivr6+vQfPLng/8033wh45/QAL+uWW26Z/KrcucADqcKLL74o9thjj6SXHN+BNbiAX0tLi3jvvffEa6+9Jn744Qd1iOjdu7cAAwYSIIEyJVBG4pdZJQESaCVQW1srHfHj8v4MHjxYOkJHOsLOysl5WEtHfLqOcQSNNW48HpcHHHCAK64jCOT3339vjQ+v4rrrruuK74gI6WVfGYGn1Ll1Zv05Qk1Fybk99dRT08c/8MAD6fiOaEl/P2DAAPnggw+mf1M7e++9dzoO8mHGcYShhP2amppkvEGDBqlDk9s777zTdTzqxCs4olfefffd0mk2Tx/jCHZr9HLm4ghFCa+jqtcJEybIP/74I6ucOMecl5N0PDBmIAESKF8ConyzzpyTQOUSOOaYY9IPYjy4HU+cdLw9gYD885//TB/70EMPWY8x7R922GHWePqXjtdQOt62tG3ka/HFF5doMvcKxx9/vCu+EiGOpzHZZO11nP795MmT0zb0ZlPH+5r8HrYcL61+SHo/l6BUER3vbtKW099RfZXcms3UfoJSHeh4KqXTxzNpz/Gyqq9d23Lmop8DTt9aCeHoFRxvpcSLiqr3xsZGr6j8ngRIoMQJUFCWeAUxeyRgEnjllVdc/RnR79BpVjWjeX7GQ9xpmk0+xOHRNMP777/v8jA5zccSxwQJziAg6TRZpwUChILT/O556CmnnJKMCyGme7VwnDPIQ8Krlys8+eST6fR0Ue0MUEp+f8QRR3iaCCookY9llllGOk3+LlvTp09Pp408BxGUMKAEo9Nc77KnPpQrF3jH9Xo86qijVJE8t19++WWa4cKFCz3j8QcSIIHSJkBBWdr1w9yRgIsAvIBOP8D0Axgi5qabbnLFCfLhnHPOSdowj4VwXHvttV32IWDDhK+++kpWVVW5bNxwww1WEyeffHIy3kknnZRsWkZ59L8rrrjCepz+pdMXM33MnDlz0j85I9KT35vN2OkIzk5QQYlj9t9/f4lmfD3kKyiV9/Tee+/VzaX3y5WL01c0XReoR9RrkOCMyE8eF2RAVhB7jEMCJFB8AhSUxWfOFEkgbwKnn36664ENT2MQL56Z4I8//iiPPPJIaYrF66+/3mUf4jKfsOuuu7rsLLLIIlYv6r///e9kvGOPPVbCu7nKKqu4jnOmPEqO6PbLw0vOaHUlQnVBAi7Nzc1+h8p99tknfSxs+IlP2DM9tfkKSmTKL2/lygV9bFVdYIt+tUECRrujryr6+TKQAAmUJwEKyvKsN+a6Qglg2hr9gY2+jlGGtdZay2X/zDPPzMv8O++847KDPNuad//1r38l40HcIjijqqUzt6XrWIhar4FGOEZ5+5CGX39NxDVDGA+leSw+hxGUF154YXKgk82O+V05c9EHHaFOLrjgArN4/EwCJNABCVBQdsBKZZE6JgHT+4OH9fPPPx9ZYTGfpdlUjX6I+QZn0mqXMMSIXjOgSRTlcKYmSv8EAYLv9D800XsFZ9qidFyvwTdexxZTUKIPpjOhvFdWXN+XM5cdd9wxXR+qDnfeeWeJeSkZSIAEOi4BCsqOW7csWQcj4Kz6kvWgjvIhrfdFVEJAb0IOi3Prrbd25RfN82ZQ0xhhiiIV0BTsrLjjOrZTp04Sg4VsAd+r/IYZnARbxRKUagqjoIKynLnMdiaURxcHVSdqi8E6EJvO3KOSo7ltZzK/I4HyJkBBWd71x9xXEAFzzkM8qDFPYlQBI77Vw19t0a8x34ARvsoOtt27d88ydcIJJyTjQNjpAdP/IL5+vDMhubW8n3zySToevKxhQtSCEvNdYiog9Yd5J6+99lq5/PLLJ/MYVFCWO5dHHnlEYromvf70fUy/hDLqo/LD1BvjkgAJlB4BCsrSqxPmiASsBG688UbXAxoeH3OQiPXAgF+a9iEACgkYoa2LCOxjlLoejjvuuGQcZ2Ud/evk/jXXXJN1PPoWmkGfdgbLIoYJUQtKs7zm56CCsty5oA5QL6uvvnpWHepM4Hl2VjaSzgpOYaqNcUmABEqQQGFPjBIsELNEAh2VwHXXXZf1cI6yydtmf968eXnj/N///peVX9OjitHdEBg77bRTVjoYVb3ZZpu5bKCPJwbh6EGfqibsKOGoBSUm8r788svTf5dddpnEyHwISZQzqKAsdy56/aCrBiY791trHhPzf/311/ph3CcBEigzAhSUZVZhzG7lEsCUNrp3B/svvPBCZEBs9t9444287U+aNMmVX4z+NYNakWfbbbc1f0p+xkAkc9Swsx60y9OpD1YKOzF21ILSa2JzNeo9qKAsdy62yvz222/lxRdfnDWPqjqnMYOB32h+m01+RwIkUDoEKChLpy6YExLwJQBxpx6+aotm6qiCuYwg0rjjjjvyNq+vsQ1b8EKZ4eijj06WCR4sr3D77bdnlfvwww9PR8dUQYqHbc3odETLTrEEJZIOM8q73LlYUKe/QjcNvLwsueSS6XpT9YeXEAYSIIHyJEBBWZ71xlxXIIG6urqs0bNoGo0q2Ozb+iwGTW/zzTd3CQbbeuBqXXEvz55KyzYVDZpSETAQRwmSsH3xiikoMRUQJlIPEsqdS5Ayot4w8bmqO2w32WSTIIcyDgmQQAkSoKAswUphlkjAi4AprLCO959//ukV3fd7NEGafRoxX6D+gF988cVlPB73tWP7EU2XPXr0cNl6+OGHs6KqkeAbbLBB1m/6F5hfsl+/fi57gwcPTq6sAq+kyrM56Ee3YdsvpqA00wcj9Pm0rZhTrlxQljD9btFvEuujq/obOHCgiYmfSYAEyoQABWWZVBSzSQIgYJuL8rzzzgsN5+OPP04+xM2VcDBRunq4q+1VV10V2v5jjz3msoMlFW3947BCDtIJskSfrY8nBGFtbW06LeyHCe0pKMEVZcdqO2YoVy4YhIQymQOnzPLpnzfaaKN0/WHQVT5Lier2uE8CJNA+BCgo24c7UyWBvAmg6ViJPWwxp1/YwShq4mxTUCJTSsyoNND3zyYG/QqwzjrrpPOI0b3Tpk2zRj/iiCOS8dZYYw3r7+aX5trbyOPkyZPTaaHZPkxoT0G53XbbJfMNcW+GcuVyySWXJMu0//77m0Xy/Kyv+x500JKnMf5AAiTQbgQoKNsNPRMmgfwIoFkX09MowYftbrvtJoOKKTSzomkRx2F9aTOgiXvUqFEu+1jJxtY0ax6Lz7fddpvrWH1ZRTM+BtcgH6NHjzZ/sn5G3tHUrZddbwoPOxF7ewlKdFNQE3/bpsspVy6YxB11061bN/npp59a69D8ctlll03Xp236KDM+P5MACZQmAQrK0qwX5ooEfAnA44eJzXVhhWbjXP3XILg23njj9HFezdlvv/22rKmpScdDOnjYm30uzUw+/fTTEpNVq3xBuC5YsMCMlv68xx57JOOG6Ttna/ZX6YVd0m/77bdP5xU2br311nTeguy8/PLLruNzDS5SNidMmJA+bs6cOerr9LZcuegvE0sttZT88ccf02Wy7SgBquqvkGmqbPb5HQmQQPEIUFAWjzVTIoFICWB5O3PqlaWXXlo+9NBD1rWSIfbGjBmTFjJ4iN9yyy2eeUI/yEGDBrnib7jhhtbma4iigw8+2CVyMSm5n6DAMRAdSky8+uqrnnkxf1BNwupYtQ3TND9z5kyJpRLVsdiOHz8+2SfTTM/r88knn+w63ktQwrOK5SQhWHVBjzTxmx7KmcuUKVNcPMAXKyaZ3nN4aM844wzZuXPnZHx0izj//PN1DNwnARIoMwIUlGVWYcwuCegE8GDGFDMYzKALI/SrxMjpHXbYQa6//vpZwhBxV155ZYl1sP0C+mYeeuihWaucDB06VG6xxRYSUwNhX/eWYtQu5hP0Glzx7rvvyrFjx2at1Q2P6GqrrSYvuugivywlf7M1+6NMQZaixCAmLAnYpUsXFzPFr2/fvhIDRdS0RGZmkDa4YoJ1dYy+BdeRI0cmm+YxSl732Orx1L7y+pY7F3BC873ehK3KiBH/qFtMYI/+svoMAL169ZKPP/64iZmfSYAEyowABWWZVRizSwI2AliJZeutt072XVMPcdu2f//+cuLEiRJT+HgJPpt9eA8xR6CfOIIwwJrcn332mc1E+jt4UG15U995rZqTNtC6g5HEppA249g+m83cKl1ze9NNN9kOT647bXYHMI8N+hn5V6HcuahyQCDDEwtvuD4lkMkEDDGhPdb8ZiABEih/AjEUwbnQGUiABDoAAedhLpxpaITT1Cx++eUX4QykEU6zo3D6KAqneVksv/zywmlezLukjkdUOCvqiLlz5ybtO4MvkradgTJi7bXXFo7gzNs2D+x4BPB4cZrwhdO9IPnnDPgS3bt3F05XCuF4zoXjSe94hWaJSKBCCVBQVmjFs9gkQAIkQAIkQAIkEBUBCsqoSNIOCZAACZAACZAACVQoAQrKCq14FpsESIAESIAESIAEoiJAQRkVSdohARIgARIgARIggQolQEFZoRXPYpMACZAACZAACZBAVAQoKKMiSTskQAIkQAIkQAIkUKEEKCgrtOJZbBIgARIgARIgARKIigAFZVQkaYcESIAESIAESIAEKpQABWWFVjyLTQIkQAIkQAIkQAJREaCgjIok7ZAACZAACZAACZBAhRKgoKzQimexSYAESIAESIAESCAqAhSUUZGkHRIgARIgARIgARKoUAIUlBVa8Sw2CZAACZAACZAACURFgIIyKpK0QwIkQAIkQAIkQAIVSoCCskIrnsUmARIgARIgARIggagIUFBGRZJ2SIAESIAESIAESKBCCVBQVmjFs9gkQAIkQAIkQAIkEBUBCsqoSNIOCZAACZAACZAACVQoAQrKCq14FpsESIAESIAESIAEoiJAQRkVSdohARIgARIgARIggQolQEFZoRXPYpMACZAACZAACZBAVAQoKKMiSTskQAIkQAIkQAIkUKEEKCgrtOJZbBIgARIgARIgARKIigAFZVQkaYcESIAESIAESIAEKpQABWWFVjyLTQIkQAIkQAIkQAJREaCgjIok7ZAACZAACZAACZBAhRKgoKzQimexSYAESIAESIAESCAqAhSUUZGkHRIgARIgARIgARKoUAIUlBVa8Sw2CZAACZAACZAACURFgIIyKpK0QwIkQAIkQAIkQAIVSoCCskIrnsUmARIgARIgARIggagIUFBGRZJ2SIAESIAESIAESKBCCVBQVmjFs9gkQAIkQAIkQAIkEBUBCsqoSNIOCZAACZAACZAACVQoAQrKCq14FpsESIAESIAESIAEoiJAQRkVSdohARIgARIgARIggQolQEFZoRXPYpMACZAACZAACZBAVAQoKKMiSTskQAIkQAIkQAIkUKEEKCgrtOJZbBIgARIgARIgARKIigAFZVQkaYcESIAESIAESIAEKpQABWWFVjyLTQIkQAIkQAIkQAJREaCgjIok7ZAACZAACZAACZBAhRKgoKzQimexSYAESIAESIAESCAqAhSUUZGkHRIgARIgARIgARKoUAIUlBVa8Sw2CZAACZAACZAACURFgIIyKpK0QwIkQAIkQAIkQAIVSoCCskIrnsUmARIgARIgARIggagIUFBGRZJ2SIAESIAESIAESKBCCVBQVmjFs9gkQAIkQAIkQAIkEBUBCsqoSNIOCZAACZAACZAACVQoAQrKCq14FpsESIAESIAESIAEoiJAQRkVSdohARIgARIgARIggQolQEFZoRXPYpMACZAACZAACZBAVAQoKKMiSTskQAIkQAIkQAIkUKEEKCgrtOJZbBIgARIgARIgARKIigAFZVQkaYcESIAESIAESIAEKpRAuwrKRCIhZs2aJT777DNRV1cnllxySTFixAixxBJLiFgs5qqS5uZm12f1obq6OituS0uLkFKqKOltVVWVwJ9XwDE4FqGmpsYrWvJ7rzSCHOtrmD+SAAmQAAmQAAlESiDqZ7ayl0tXeBUijP6BDS8N5GU/33x52Qv0vSOiih5efvlluf7668tu3bpB9WX99enTRx533HHyxx9/TObtsccey4qjjrv++utd+Z8zZ450QFrj/+Mf/3DFNT9ccskl6eM+//xz82fX5+WXXz4dV+VFbbt27SqXXXZZueWWW8obbrhB/v33365j+YEESIAESIAESKB4BKJ8Zjc0NMi+ffsmNcCECRNCFSKI/jn++OPT+gfG/TSQ0h3mFhqq2AGevKKF+fPny/3331863sdkRaywwgpy0qRJ8rnnnpOvvfaavPPOO+Umm2ySFmqIi/DHH38k44wbNy79G06ORx99VMKmHpqamuSrr74q99xzz3TcQYMGyfvuu09+//33etSs/RVXXDF9zMknn5z1u/7FJ598Iq+55hrZqVOn9DEPPfSQvOiii+Tuu+8ul1lmmfT3vXv3lq+88op+OPdJgARIgARIgASKRCDKZ/aDDz6Yfr7DgbRw4cKcpcilf+644w658cYbp+3us88+aZs2DbTbbrtJaI577rlH3nTTTfK0006T2223Xfr4ww47LH18sXaKJigd93DSK6lU9AEHHCAdl6+1nBBziGcq/ylTpqRhnX322dZj1ZfTpk1Lxz344IPV157b999/Px0faQ8ePFgiz7kCRDHid+nSxRUVbzCHHnpo2uaiiy4qnaZ9Vxx+IAESIAESIAESKB6BKJ7Z22+/ffrZjuf/jTfe6FuAMPrnX//6V9L2rrvummVT10AXXHBB1u/4AiITeVIOOWukNvqyaILy0ksvTVfAmDFjJASXV4DQXG655eS2227rivLII4+kbXjBVAe8++676bhHHXWU+tpze+yxx8rOnTu7PJvPP/+8Z3z1w6qrrppMxxSU6nd4K1G5+DvllFPU19ySAAmQAAmQAAkUmUChz+xffvkl2TIJD6LqXgdN4xf07nRB9M+oUaPk+PHjs0wG1UBIA9qj2KEogtIZeCPhFoaoQv/In3/+OWc5b775ZnniiSe64gWFiYPCCEo0k/fv31/usMMO8vXXX08LQN3l7MqI9iHXyQk3thKUaLJnIAESIAESIAESaB8ChT6zr7zyyuQz/YMPPpCbbbZZ+vk+c+ZMa4Hy0T9owjb1D4wH1UBvvfWWfPHFF635acsviyIoAUeJqq233jrv8gSFiQTCCMrHH388mT/0s4R3VPV/XGSRReRff/3lm99cJ+fUqVPTZd9www19bfFHEiABEiABEiCBtiNQ6DN7jTXWSLagIoe33npr+vl+5plnWjMdlf6BcT8NhGb1nXbaScKD2l6hKIISTc5KUJ566ql5l9UPpmk0jKBEXwWIx3g8njSj+nAiz//73/9M067PuU7O//u//0uXHc3qDCRAAiRAAiRAAu1DoJBn9qeffpp8np911lnJzGMwjmp9HTp0qHVcSFT6Bwn6aSCleXLNUNOW1IsiKOGZU4Ly/vvvz7s8Okxnvkp5yy23eP5hhJNK068P5YIFC5IDajAqXAWMBlPHYtS5X/A7OTGqHH1BlS2MZmcgARIgARIgARJoHwKFPLPVgJmvvvoqnflddtkl/Yy3zeYSlf5BgroGwihvdKnDHzyl6623XjIfHV5QDhs2LA0cczDlG3SYEGmYssfrT4k4bP0EJeaxRBzM86SHlVdeOfk9pjj67rvv9J9c++bJiSbzb775JjkFUr9+/dLlVm80roP5gQRIgARIgARIoGgE8n1mo0kZUxCuvvrqrrzqUwgddNBBrt/wIaj+wZzVV111VdYfHGcq6BoI83hjTAr+evXqldYaHV5Q6vNHQknnG3SYUY3yXmuttZIV8eGHH0pUhPrbd9990xV0/vnne2ZZnZwQnjjRMD2QLmYxt2UhZfZMmD+QAAmQAAmQAAmEIpDvM/vZZ59NPtsPPPDAtE6AXtCnHISwq62tdeUnqP7ZaKONkuJQ1w/du3d3CVg/DXTFFVck89fhBeUJJ5yQFlmFTJ3jB9NVg84H1Z/Az0M5Y8aMdL70SjT3MYTfK6iT01kCUqLvJf4uvvhiOXnyZPnOO+94HcbvSYAESIAESIAEikwg32f2xIkTA+kFTDSuhzD6B9Mprrbaaul01GqByp6fBkL3PTi2OrygvOuuu9KA1l57bcUm9NYPpmksiKA8/fTTk/nC6jaIb/6pzrYQmNOnTzeTSH5WJ6fXPJTWg/glCZAACZAACZBA0Qnk88z+888/JbyFGLxr6gR8vvDCC9MaZ6uttnKVKaz+Qd9IaI4ePXq47OBDLg2EcRq5ZqbJMhrhF0UZlDN37lxXUzCm6ckVrr766mQnUz1eLph6XFSy8jTa+lCq6YGWWGIJzxVxVP9K2DniiCN08+n9fE7O9MHcIQESIAESIAESKBqBfJ7Zanqg6667zppP9K+EloBWQGslNI8KYfVPIYJSpdnY2Jhca/yjjz5SXxVlWxRBiZJgnW4l8EaPHp2eoserlOiPaHozoxSUL7zwQjI/Rx99tFcWkuuEq7W6sRB8XV1dVtwwJyemGPj222+zbPALEiABEiABEiCBticQ5pmtcrPBBhvImpoa3zkejzvuuLTGQaunHsLonygEJUabQ29h8vVihqIJShRKgUJB0U8A0+rYAtbpRhwslK4HfR3LXGt5v/nmm+nKta1pqRZRN0d36+lhH6JWCWGMwjKDWhcUSzD5LSf53nvvJV3msIWmdgYSIAESIAESIIHiEgj6zFa5Uq2d5uhu9bvaPvXUU2mtsNRSS0l4CfUQVP+oeLYmb10DeQ1MRrpqCqEvv/xSz0Kb7xdVUGL0EwatKK/f4osvLg855JDk5OEvvfRScj4lfSkjLMCOAM/ek08+KTEKSok7zO8Ij+X8+fNdkAAT3scJEyak48IVjX4M8A5CsWOCcWUHlYe0zTBv3rxkvvRR2z179pRoBv/pp58kRoVPmjQpXRbYO/TQQyXW/7Z5MjFSXKWJE5qBBEiABEiABEigOATCPrPRbxICTk37g+f/bbfdJqENzIDpELF2tnrGYwunlb78YS79c/fdd8u99torrSmgj1SwaaC99947Ofj39ttvT+qS8847L6lBVNM78uA35aGyHeW2qIJSZRyzzWMJRl2sqYrAKCUsbQSXsepcihHT6ndzC4Gnh9mzZ3vG/cc//pFW7rodNGeb4dprr/W0g1HcaLbXbej7OHHNgKkF0KkX8byWaDKP4WcSIAESIAESIIHCCYR9ZqtpgvRnO/YxV6QZ9Dmn9fh45pshl/7BrDLnnnuunDNnTvpQPw2kp2fu//rrr2kbxdiJIREnE+0WHAUtnJVpIGzFwIEDhfM2IBZbbLF2y09bJuy88Yi///5bOJOjtmUytE0CJEACJEACJFDiBJT+cQbyJLXPkCFDhDNjTInn2jt77S4ovbPGX0iABEiABEiABEiABMqBAAVlOdQS80gCJEACJEACJEACJUyAgrKEK4dZIwESIAESIAESIIFyIEBBWQ61xDySAAmQAAmQAAmQQAkToKAs4cph1kiABEiABEiABEigHAhQUJZDLTGPJEACJEACJEACJFDCBCgoS7hymDUSIAESIAESIAESKAcCFJTlUEvMIwmQAAmQAAmQAAmUMAEKyhKuHGaNBEiABEiABEiABMqBAAVlOdQS80gCJEACJEACJEACJUyAgrKEK4dZIwESIAESIAESIIFyIEBBWQ61xDySAAmQAAmQAAmQQAkToKAs4cph1kiABEiABEiABEigHAhQUJZDLTGPJEACJEACJEACJFDCBCgoS7hymDUSIAESIAESIAESKAcCFJTlUEvMIwmQAAmQAAmQAAmUMAEKyhKuHGaNBEiABEiABEiABMqBAAVlOdQS80gCJEACJEACJEACJUyAgrKEK4dZIwESIAESIAESIIFyIEBBWQ61xDySAAmQAAmQAAmQQAkToKAs4cph1kiABEiABEiABEigHAhQUJZDLTGPJEACJEACJEACJFDCBCgoS7hymDUSIAESIAESIAESKAcCFJTlUEvMIwmQAAmQAAmQAAmUMAEKyhKuHGaNBEiABEiABEiABMqBAAVlOdQS80gCJEACJEACJEACJUyAgrKEK4dZIwESIAESIAESIIFyIEBBWQ61xDySAAmQAAmQAAmQQAkToKAs4cph1kiABEiABEiABEigHAhQUJZDLTGPJEACJEACJEACJFDCBCgoQ1bOo4825jxiySWrxJpr1uSMFzZCfb0Uzz7bFPYw3/iLLhoTG2/cyTdOuf4opRBvv90snniiWcycKcUvv0hRVyfEkCExMXIk/qrE+utXi2HDqsu1iMw3CZAACZBAhRP48ssWgb8+fWJio43a73lOQRnyRIzFanMesdtuMTFlSrec8cJG+PbbFjF0aEPYw3zjr7iiEJ9+2t03Tjn++P33CbHLLvXi3Xf9c1/taMmJE2Pi9NM7OwKTwtKfFn8lARIgARIoFQIzZ7aIs85qFPfeK0UiIcTaawvx1lvt9zynoAx5ZtxxR4P4/HMpbr45IRYscB+81lpC7LRTlePxqxHrrRe9h/KLL1rECiu4BeWwYUKstFJMDBwoRN++MfHUUwnx8ceZfI0bJ8Rqq1U5eZXiu++k+OgjIX77LfP78OHC8d613wmYyUl0ey++2CT22KNJ/PprymbfvinROHx4lWhpEeK99xLitdek+OGHTJq9ewvx++8di0OmdNwjARIgARLoKAQ++KBZXHJJk7j/fimamzOloqDMsCirvaeeahLjx2eanyFIfv21u6iJXkemubz/frNYY41Uk/uAAUJcd12N2HnnzunfsbPPPnXirructt7W8OCD7jgNDVKcc06DuPjiRPJEHDRIiDlzOo6Qev31JkfQNyWFIxBMmBBzxH9X0atXTCFJbmtrpdhrr3rx6KMpVqi3pqaOw8FVWH4gARIgARLoEAT23LNO3Hdf6rkVcx5r6NqlwjrrCDF9evs9x+ihVDURcvvVVy1iueUy3sLRo4Xj/WvbinzjjSYxdmyT6NkTXsWuon//qqxc5xKU6oD77290xFaz0+dCON7Lts23SrMY2622qnX6maZSGjECddJNdO/uFpMqH2gi2HffOnH33akrsrGxu+jUft1PVLa4JQESIAESIAErgf32q0s+pzbbrFpsummNMw6g3tEDqagUlFZkpf/ljBktYtSojKBcdVUhPvigbYXZCy80ic02axJHHBET115r76MZVFDirWbo0Frx88/CGajStvkuVm3C9d+1a23aO3nUUTFx9dV2TipP+ovBwoXdBAYpMZAACZAACZBAORAYObKWgrIcKsovj+0hKJ98sklsu22TMJux9XwGFZQ45oAD6sRjj0mnT2X3pAg79lhnCLRPuPzybi4P3vTpzY53L9Psbx666abVYrvtOotcds3j1Gd4Fi+6qKv6mHP7zTctYvjwjMg/6aQqp2k/9/Fjx9aKN94QYu7crmKJJVJe3//+t0F8+KHjwvQIRx+dPYgHgva44+wMx46tFq+/7nTgNMLQoVXi+OO7GN9mPt5zT6OYNi37uFGjqsRRR3kfl7Hgvzd/fsLph9PkeHITzp8Un30mRDdHg6Nv7bBhMadbR7Xjye4sMHhJBfRDLbROo7CB/ASxc9ll3URnp2fIn39Kcdpp9aoYru3AgTFx8sldCy5X0DxVOadZz54xp5Uh5swIUS1WX73aeRniy4yrUviBBEggJwEKypyISj9CewhKeBXRTKs/3E1SaMK9885Mpwo/8Ql7+MPDrcnRhZ07+49gj8fdzce33togDjooW+yoPO28c8zp64GHub9dFd/cLrKIEH//Hdx7+sMPCbH00hnBsO66whFjuY9/5ZUm8dxzLeKkk7qI3r1TD/XddqsTDzyQ4Wjm7eabq8U//uEWdJjWqVs3u6A8/vgqcfnldoE6eXJNUrSZaeDzQQfViVtvzc4HBmPNmpW7bDab6rv33mt2RsI3OoO11Df27dChQrz8cleHbUpsBzlX7JaEUHUahQ2kEcSOOm/nzUs4LwyZ80PPY1fnvePPP7tHcq4GyZOeNvbRB/uYY6rEKad0EV26UFiafPiZBEjAToCC0s6lrL5tD0EZBFAYD6Vpb+7chJg6tUnst59bJF5wQZXYc89OYpllNDeVczA8cl9/DSHWIJ58MmNt1Cghbruts1h55WrRo0fM8fxl24WweOaZTqLBcSjiD56y2bOlM29kwhmpnrIF4dzcHE409e5dK/74I5MX5B2ep7Dhr7+kMxq8OTlaHN0CVNhjj5g444yUd9LW3xLTFT39dJM48siWpPdszTUxeKqzWHHFavHjjwlx7rmNrkFTsIt+rB9/3FUMHpwSbCotbONx6fzW4thrdLpUpLyHN95YI7bYokYMGJAdXz/Wbx+DynbZpUnUO/oKnI87rkrsv38nMWhQlSNUW8Tzzzc701EkRGPrtKtvvtnZNXNBFHUahQ2U0WYH39vOW0yzccopjemXBdQhxP5++3USyy9fbbWVz7mKPL3wQrPTR9e5SFoD7Dz9dCcxb550pupKiE8+kc4cqTIpilWcXXZJTTmGlzwGEiABEshFoJQEpeOhYsiHwFdfNTtuI+dp3/q36qrxfMxEfszeezvDl7V8PfhgQ+g0Ro3KlKtbt7hsavI3gTT0NP/znzrrAbrdRRf15nXXXRl7jY1WU55f7riju/zI184718rvvmvxPMbvhz32cNubPj0HjFZjyy6bYnjddfUu8x980ORipbhtsklctvhk8ZprHPenU5axY725uRLK8WG55TJ1fMEF9vp69dVGucgiqXhTp9orIoo6jcIGiqvb6drVft7+/XdCjhiRKtPAgXH57rv2+tRtFXKu5rKD82nppTN1gTq+6ir3OZOjKvkzCZBABRNQ9zPcO9ZZJ5rnQ744KSjzJNeRBeVaa2UecL175z5Bn3mm0SWSLrvM/kAMY3e99VJ5+OuvRKgamj27OS2ClFjDtro6LiE2n3qqUYYRqUcf7RaUX3zRHCg/a6yRyr8p6OfNa0my6tUrLmtqMpyRx4susgs7JKhE9tZb566PXBmcOzeVB8Xno4/sogp2Dj00Vf7HH7e/mERRp1HYQF51OzYRCMGuXjiWWSYuv/7auy51W7muAb9zNYidZ591Xz877FCL4jCQAAmQQE4CFJQ5EZV+BArKTB21haB88slGueeetTKsoESuHnmkQfbs6RZrSjxh26dPXJ5wQp384Qcfl2Br8fIVlGuvnUr/4YfdQuynn1JibuON4/Kcc+pcQrxz57h8/327uJsyJeW1HT++cEGJNHQe119vfwEAAnhU+/WLS2fKqlYi7k0QwaSO8KrTKGwgDd2OTVAec0xKHA8eHJd48fALuq1cgtKrXGaevOzU1SVc9TF6dOF17Fc2/kYCJNBxCFBQdoC6pKDMVGJUghJNrEOGxOXnn/s/7DMpe+99+WWzXH11b1EJQdWpU1wedJC/aM1XUK67birtxx5zC0rlHRwzJi6bnWKuv747j8svH5e1tdleWYhk5HnbbQsXG7//7hYwaB6++eZ63yZ3L9K5hFeQOo3CBvKn2zEF5SmnpMT7gAFxiWs3V9Bt2YRgkHKZebLZQZx4PJH0oCuRv8su9FDmqh/+TgIkkCJAQdkBzgQKykwlRiUoTzwx9dD/8EO7NyyTYvA9NCduuWVcxmJu4aYe3tiusIJ382e+glIJRXiv9DBnTspDCcGC8M03zVne1MMPzxYUsIO8br+9+7f581vk22835fwzm/lXWSWbx/DhcXneeXU5vXd6eXIJryB1GoUN5Em3owtKeIlVffs170ddLjNPXoLy0kvdnmo/j7GeR+6TAAmQQCkJSq6Uk2sIlcfvHXGUtyrq2mvXinfeUZ+EuOYa9+juzC+pvWeeaXFGq2a+veyyauvciqbdW26pTi8b9eWXUlx/fULUOjMMffhhZ7HKKtGuYekMyhFTpjSJG25IiG++yeRV7a24ItLNXjrzmGPqxFVXOXqkNXzxRRdnhSR/Hoi6wQa1zryTqVG9W22VWX5nzpyEM5q7XugT4WN9eHNk/eOP1zhzjmaW1cTo+803bxI77hgTDz+cmaz97rsbxd57Z0YSq3yaW32OTfyGOUTHjm1MTwJvxt9wQ+HMc1njrE3f2Xc50SjqNAobyL9p5+KLq8Rbb0ln3tZM/T38cI3DMMPVLLf6bNrK91zV7ZjrxeNcuPLKRnHZZYnkdGBIe/fdY87crt18pwZTeeSWBEiABDjKuwO8VFSKh1J5dsJsgwzK8bMXpYfSPNUwMAMDZZZcMttDN2lSdl/CfD2UG22Usv/cc24PJfptouzwiuphwgT34J/+/eMSA3hUePnllIdyp53cHko1WMePJ35DU7sZXnyxUS6xRDYH3Rb68wUdvKIfZ+771anuWTSP0z/72UDZgtgZNCguFy7M7lJgsgliC3kLmyeM5odt9EvVywbv5fnn1+WcUcHMJz+TAAlUNgF6KDvAS0UleSgvush/UrxnnkmIl17KVGoQDyVWY5k0KePp+/LLhLjpJunMu9g2HspM7lJ7v/2WcDyA9Y6nLvPLJpsI8eKL7nkv8/VQjhtXm2QydWonZ73VjIdSTb4+cqQQM2Zk0vr9dylGj65z5qrM5GebbYQzv2cqzrRpzc6arY3O3JExZw7FjIfygw+axT33+HsoMafhued2dSbtzthWewsXSmfi9EbHO9ySXr5L/aa2mCfzs88yqwip77HVPXD51mkUNsy84PNtt1WLb7+V4uyz3RPKH3pozPFUZxgirhnaKk9mOurzMcfEnOvBP08qLrckQAIkoAjQQ9kBXigqxUPp1e9Lr8Ko+lCefnphfSgxyEX36ul5tO3D84YBKcpThHkJzWB6KIP2wcN8YLD70ktuDyXmw8T3mLbGDPAYVlVl8oN4mH8S4Z13UiOzd9vN7aE0beT7OeE47TCS+7DDaiWmNFJM1Hbffe3p6p4827kSpE6jsIFy63b0PpRXX52aw1OVBf1pMajGL+i28i2XLU9//pmQ+MP0U/q5hxH+uUae++WXv5EACVQmgVLyUHIeyjzPQQrKDLioBOVrr6WaYD/7LPco3EzqmT00tUM0vP66v1jIHCGlaprGcRBzEFZ6+Pe/3QMm7r/fPWpbj6v2IWy7d0+JMrNJFKIBaaHp1RZOOsmdHiaWx6h3CFkch6bxtg4QPEcc4W6CR9O4LeQSXkHqNAobyJtuRxeUqNMNNnCLZEw4Xl9vVLZWQN2WTVAGKZeZJ9POySe763rixLavW62I3CUBEugABHRBidlF2jNQUOZJn4IyAy4qQZmxmNrDqj9nn+092bcZ/5JLUg/o/fcP/mDeddeMcMKURWbASjcQcurvtNNy5+fjjzPzPC5Y4BYtGNUNW4svnp0W0m5w9Opqq2XSQ1yswgRhin2s3FNowFRGGC1u5s20u9deGTZIG6vMmCGX8DLj2+o0ChtIR7ejC0r8NmNGs4Q4RznUn19d6rZMIQh7ZrCVC3H87PzxR8LVlxKeU8z7yUACJEACQQlQUAYlVcLxwghKrDICYQTh1dYhiqUX/R6Ctvy3haDEhOZoBgwzJ9+116bEH4TDp58G83KqJRIhMswBLygrmoGVAMEWE6bPmuVvW3n3MKekGXAs7JiCR48Hj6QpfpA3HAeRV2i44YYUp1xi/YEHMtPtdOliXxoyzLniVadR2AAT3Y6Nr3rhUPWJlYreessu4HRbuQSlV7nMPNnsmC8s8KSaXvJC65vHkwAJdFwCFJQdoG51LxQeUFiP1xbM1VBsI4ltx+X7HTxP6oGJ7a23Zo9czmV7zTUzXhz0p8sVnn7avXSc19rQul3bw1VP58ILU97GffYJLqBuuy3jTVxqqbj88cfskc16GkqAKl5eq8GYE6Rj5LPXijbHHpvhf/nl2ewx4TrSg0DzC2beVB6jaBa9/fYUp8UWi8vvv/dmhDkpVbpea8RGUadR2ABL3Y5NUKIrglrBSJULLxSYWNwMuq1CzlXdji1PTY6exYuHyg+26PPJQAIkQAK5CGDWEr3Pu61vfi4bUf7OJu88aWLdZf0hAIEAsWCGYcPcDws0X7ZVmDmzWWIlED1fWKrPtvKKVx7gbTG9Y7DrFyAg9TRtaxGbdm0PV1wc8OCp9aNh85BDggtKtTyhygtYXHFFvcTSdnpAH8EzzqhLekARF02NmLLFK2BAjMkV/S1Rzv/8p05iYmp4DjExuEobTdMQC2aAwFdx8FLiF7bZJmNPHRNGYHvZ1jlhGcqHHsruF4q+ojinVbq2tbyjqNMobKCcph3k23bewnMNz7cqF7aY+F7vT2nayvdcNe145emJJ9wvZOh/G6YfsFc983sSIIGOSwAvyPpLv7qnYSBne7VyUFCGPN923rlWokO/qjx9i1Gb8IBceWXGw2B6tzAIJOqAkwrp6AJAz1ffvvHk4BOsGuMVcHKiWdU2LyE8WRBP6N+nB4yUHTcutYShnh72kR+IOT+78PTBQwRvIvJYXZ3NFR6/oAGjtvUmbJWnHj3iyX6JWLZwjTXiEp/Vb3i7s4klM81vv22WK6+cOU4db9tiOUeIYz1AyJiskI/NN49LjPy2BYxYx3yUehr77Rech80mvps61S1gYB99OpEXnN86Q3jnzPXIo6jTKGygLH52vM5bs9UA5ceLH15mvK6BMOeqyhNmDdDrDvteedp0U3dciErMMcpAAiRAAjqB//63XqLFCN2vzPuL+oyXYKzWdt99xb2HUFDqNRVg3/TeqQrUt/pDHwMglEcEx+JhHnUwm7n1vOj7N92UEbpmHvAQ9BKksIEymILy3nszfez0dNQ+xEkuuyqu1xZrMIcJ8DTBC4i1svVpWUz76D8Hz5TNq+yVnhr9jCZK21KOQ4fGJTzXtrdDTHBu5kF99mo+Rz4gdlU8bA84oHBBCbsY5IP+tl43JQh8eLcxiMgMUdRpFDaQr1x2bOctlqG0LT05fXqT7zWg14NtX52r+eQJ9WFOGXXWWeHOfbOe+JkESKDjEcDUbrb7j+27Yt9DuPSimh20DbeYPHrWrBYxcmS16NUr1oYp0bROQDqXHZa3mzkTk3YnkpOmd3fmCR80qMqZJLxG9OmTf1388Yd0lqdsTtofMKBKLL10lVhhhcxE7Xo+Sn1//vyEmD07IX76KeEssxgTK61UnSxPqeeb+SMBEiABEigdAhSUpVMXzAkJkAAJkAAJkAAJlCUBCsqyrDZmmgRIgARIgARIgARKhwAFZenUBXNCAiRAAiRAAiRAAmVJgIKyLKuNmSYBEiABEiABEiCB0iFAQVk6dcGckAAJkAAJkAAJkEBZEqCgLMtqY6ZJgARIgARIgARIoHQIUFCWTl0wJyRAAiRAAiRAAiRQlgQoKMuy2phpEiABEiABEiABEigdAhSUpVMXzAkJkAAJkAAJkAAJlCUBCsqyrDZmmgRIgARIgARIgARKhwAFZenUBXNCAiRAAiRAAiRAAmVJgIKyLKuNmSYBEiABEiABEiCB0iFAQVk6dcGckAAJkAAJkAAJkEBZEqCgLMtqY6ZJgARIgARIgARIoHQIUFCWTl0wJyRAAiRAAiRAAiRQlgQoKMuy2phpEiABEiABEiABEigdAhSUpVMXzAkJkAAJkAAJkAAJlCUBCsqyrDZmmgRIgARIgARIgARKhwAFZenUBXNCAiRAAiRAAiRAAmVJgIKyLKuNmSYBEiABEiABEiCB0iFAQVk6dcGckAAJkAAJkAAJkEBZEqCgLMtqY6ZJgARIgARIgARIoHQIUFCWTl0wJyRAAiRAAiRAAiRQlgQoKMuy2phpEiABEiABEiABEigdAhSUpVMXzAkJkAAJkAAJkAAJlCUBCsqyrDZmmgRIgARIgARIgARKhwAFZenUBXNCAiRAAiRAAiRAAmVJgIKyLKuNmSYBEiABEiABEiCB0iFAQVk6dcGckAAJkAAJkAAJkEBZEqCgLMtqY6ZJgARIgARIgARIoHQIVLygfPTRxpy1seSSVWLNNWuS8cLGz2k8RISmJiGeeip3fmGyU6eYWGKJmFhxxRrRuXOIRBiVBCIiIKUQb7/dLJ54olnMnCnFL79IUVcnxJAhMTFyJP6qxPrrV4thw6ojSpFmSIAESKD0CHz/fULcfnujmDFDiu+/l6JbNyHWXbfK+asW661XIxZdNJYz07ifvvxyk/jgg4T4+ONE0hae8aNH469KbLppJ9GrV247ORMqIELFC8pYrDYnvt12i4kpU5wzwAlh4+c0HiLCggVSLLaY80QOETp1Eo6oFGK11WJi//1rxIYbOl8wkEAbE8ANdJdd6sW77/onVO1oyYkTY+L00zs7ApPC0p8WfyUBEignAvX1Uhx5ZL244w4pmpvtOe/bVzgv3Z2TwtIeQ4gvvmgRhx3WIF591SuGEEOHCjF5cmex1lop55d3zLb7peIF5R13NIjPP5fi5psTYsECN+i11hJip52qxMYb16QrO2x8t8XCPsFDeffdDeLTT6W46aaE+OuvjD2cTBMnVol4XIq5c4WYPVuK994ToqUlEwd722wjxD33dAv0RuQ+kp9IIBiBF19sEnvs0SR+/TUVHzdMiMbhw6uS5+N77yXEa69J8cMPGXu9ewvx++/dM19wjwRIgATKmEBdnRRbbFEnXn89VYguXYTAvXDePCHgbdQDPJaTJ9eI7bbLbk58+OFG537aLBpbGye7dhWiXz8h5s8XyRYf3Q5aI++4o0bsvnu2HT1em+1LhiSBJ59sdKrYUWOtf717x2VTkzecsPG9LeX3y513NqTzijyPGxfPMvTbbwn57387Z7VWLuyvuWZc/v13Iis+vyCBQgm89lqjrK7OXEcTJtTKP/7IPtfi8YTcYYfa9LlZU5N9/haaFx5PAiRAAu1F4KyzUs/eddaJy+efb5SJ1tsgnr3XXVcve/bM3CfxXO7cOS7nzWtxZRefF188Fe+AA2rlO+9kRAnsvflmk9xgA7edJZaIy4YGl5mifah4D6VS6l991SKWW65BfXT6JAjx0UfeHpOw8dOGI9qZNq3Z6X+W6U85bpwQL7xgz++99zaKgw5qdr3NXHxxlTjpJOdVh4EEIiSw1Va14tlnUwZHjMA11E10727v15NICLHvvnWO193RlU5obOzu9P1NHcv/JEACJFDOBJZYojbZDD11qv0e+M47zU7LZ6OrFfHCC6vEv/+deS6ffHK9uOyyhLjxxmpx4IGOi9MS4AkdM6bO6VuZ+fGTT7qIlVYqfhciCsrWOpgxo0WMGpURlKuuKpwKsgs0HBI2fqaqo9l7661mp0NvMEGJFM84o16cd57zBG8Nw4YJMWuWd/lUPG5JICgB9BHq2rU2fYM86qiYuPrqVN9jLxv6i9nCheyK4cWJ35MACZQXgc03r02OvejTx/5CjdIcfniduOGG1As1Pu+7b8wZvJO5Z553Xr1YffVqp6ua/5v2DTc0OLYy/dumTu2UHKQDm8UMFJSttMMKxLDxo67UsILypZeaxLhxTifM1lBVJURtbTfRpUvmZD/++DqBfpq2UOP08z3rrK7ijz+kuOSSjPBWcYcOrRLHH29/g0Kce+5pFNOmZU54ddyoUVXOhdBFHHus/2Cjyy7rlhyt/uefUpx2Wr063LUdODDm/JZ5u8OP8+cnxP33NzmesoTzJ8Vnn4nkCLvhw4Uzujgmxo+vFhMmdBYYHFJoWLhQJoW7snPeeV19+6pi4Ep7sERd9usXEwMGpPo1jhnTKRLP4DfftDj9JDPnxkknVYmLL3bXh2Kjb8eOrRVvvCGcvr9dnZkJUv0s2+p80NMNW19mfN1W0P3+/WPOOdI1KbpzldHLJjy+F10UzAau8549YwLprrlmdfLh1LVr5pr3SqOY141XHvg9CXR0ApMnp/pHqnKOH48BOuEdPbfc0iAOPjjzfP366y5ixIgIHmoqY0G3RWtcL/GEvvqqOd2fC/0ZVl3Vv09X2PhRF3/69CZXfm19KPU06+sTrvixWFz++ae7b1vXru6+GGbfS/TfePddd7p6nMmTvTtuHHhgpr+cfsywYXHZ2Iguyv5po88dwk8/tXjGRf71gLwus4y/XaQ7dGhcfvedu++Kbifo/rXXOkP6tHJcf32976HtxVLPI/YXXTQud9+9Vn7wQaZ/jm/GPX78/nt33ay7rrs+PA6TL7/cKE89tU7+/nuqjtvqfDDTD1tfs2a57xEmxyCfhwxJMQlSRi97iyySvw30Df/Pf+ok7gdeodjXjVc++D0JdHQC6HOuX+cnnVSXmnHUmQAALKxJREFUV5F32inzfF1llXi6v2Zexgo4yBltxAACYQVi2PhRUw4rKH/+2f2wX3rp7Ic9xNr99zfIqiq3CDv55DqJh2mLo7nwh7LvvXfmBFYXRJ8+cfnDD3Zhho7I6EC82mop2926xaUzYj7dCXnOnBZ5++1uQQa7F1xQJ7/9ttmF7+uvm+Wuu2bS79Qpnhx89PnnmXgYNKUEMgaJnHhinfz002a5YEEi2bH5//6vLtkJWuUdeSs0qLIpm2uskc1YT6OYLHv0iMtp05qSncNvvrlennBCnRw82F3PqPfDDquVf/3lLTb0/Nv2IU5V+VX92eLl+i7q88GWXtj6+uyzjKDE+XvssbXJzvWPP94gMfhILzc63TtzxspbbqmXe+2V+W3gwMw5YSsjxCIeMlOnNkqcw7gm0Ll/m20yXHE+qwAbuI70tGHj1Vcb5ZQpDfLMM+skHja4RvQ4u+xSm7yWlR21bY/rRqXNLQlUGgE8b/XrEtds2HD11ZnnJl4Yo3iWhc2Dik9B2UoirEAMG18Bj2obVlA++qj7xIUg9AoYBa6f5KYnE8fBm6XHUfubbBK3PqhUWtdckzr5x47NPBTVb9iOGpVJG4LQNtIe4nTEiFQ8PKDhUTHDcstl7ECU2gIeunj4Iu94gBcS3nvPzuPDD7PzZqZTDJYQemZodvQ3BI8+Khss4O2uq8tPVO64Y0Y8qXNi551r8/YAR3U+mGXPp77UMRhFOWNG5uUFts8/3z2bwuuvu8+nJ55IeSJwwzeDXkZbPan4d92VuYbh4dRDLhu4X+AlUtUJtlddle1BL/Z1o5eB+yRQaQTOOMN93wjTUgYNgnuruqbhIIDTpD0DBWUr/bACMWz8qCs5jKDE9EF60y+maPETUJtumnnwwGtlC5jOACdyr15xCXvqpMb2oovsAg521ENx663tdtdaK2PL9nCFV0+JFpQJ3kozzJ3r9sZ+9JG3qDv00NQFCS9TIeGII1J2llwyk3+w+Oc/vYW7Sq8YLG1CRqV/330NWXW4xx65862O17ezZzenRbp+TkC0ot7gtTPFkH68uR/F+WDaxOd86uuNN1IvDbZmqVyCEmniRc3sloHv9TL61RPirrde6vwyvchBbDz7rLt5DdM26aE9rhs9fe6TQCURwLNMf8kzr0cbi5deapTHHFOb7JKn31/R4oDrt70DBWVrDYQViGHjR13RQQQl5qmCZ3L06IzIQd9JNKP5hSCCUvVl3HjjuDznHPdbFubTev99u4iDSx8Xwvjx+QlKXEw4Hm9jEC+2gLT1i82vLyO8g/36xSXEQr6htjaR7IeINOHFgshW6fftG/ftr4Y0i8Eyl1BBvZieyiDeVRuzRx5pyJpjTfHAFl0j0OTu1T1Ct6kLJdsLRpDzQbeH/XzrC/UEz77etULZDiIowXjiRLeIw/F6GXPVE5qk99wzu1tCEBvwOuv1gPuCHop93ehpc58EKo3Agw9mWhy6dIlb7ysmEzw39WtY31922bj0c56YttriMwVlK9WwAjFs/KgrzxSUEC5XXlmf9A7iIbvttqnBJvoJhwcIvFG5QhBBqbwZY8bEJZpO11/ffaIvv3w8+eA204LYQJ6QP1vQH4ymgDjllJRwHTAgnuzHaTse32Fwh15ueIXQbxBvhG0RVB82TGCLcPDBmWYI5OOee/yZF4NlLqGCfOsdu5Fvv24RiO8XvvyyWa6+uvuc0OsE++jXd9BB2eJItxvF+aDbw36h9WXaw+cggtJ2HL7Ty2irJ3TNwGAem5BVNnPZQDwMbNNfGuDV0EOxrxs9be6TQCURwGIPSy2VuT9ecYW/k0exgRPlv/+tTw5i3GyzzPHq3opnJgY5tlegoGwlH1Ygho0fdQWbglKdUF7bIO50lccgghKDAZAWHmQI33zTnOWVOvxw9wML8eBhwXHbb5/9G37XH4y6oHz44czbXJC3MIx0M1kMHx6X551X5+nZRPr5hA03TKWlPKEY/KKnDZ5+oRgsbULFzJPZzxb96QoNaGbdcsu4hGdcZ6Lvr7CCvesC0o7qfNDLUWh96bbUflsKSgwoAy8/j7HOyauuL73U3ZKgzldVBmyLed3o6XKfBCqJAAY/qnsgns1oTcwn4FljrpQDbyees+0RKChbqYcViGHjR125pqCER/C22+rTf+ohpE5aNDNihHOQEERQ/vhjSlDq0yvZRmmbfROxBBXyhP50tqA/GBHv4ovrJDwpqhzYQlzmCrjQdG+Mfjz2ISrQBGkb9JPLtv47BmfAHi5iNe0Nfkd9qDQhpiC4vUIxWHqJDD1P6BCu8qzKlO+NTreLfYzUR11imig9DbW/4or2AVhRnQ8qP1HUl7Klb6MSlOCBgVLwqKvR+N27p5jlKyhxfqHfpz57A6aJQsuCGYp13Zjp8jMJVAqBu+/OOEfQilPoMsiYAgytY+peii0G6UV17w5TLxSUrbTCCsSw8cNUSpC4pqA056FE867edxInmW0wgS2tIIIS/d9gE94lPZjTp/Tv716fFO54HIfmVVswBQTimn+DBsXlwoW5xfGLLzZKjMg1j9c/g5FtYI8tb7bv1FrpKLceIJ70dDCazysUg2UQQWnOjQhBrub/9Mp72O9xXqLvkDl4CawmTcpu9onyfEBeo6gvW5mjFJT6eaPvBxWUOAazLYAd+gfrNnAeIK9+L1LFuG5sDPkdCXR0Am+/3ZSezg6DStE6FUWAHVzb+rVuzjQRRTq5bFBQthIKKxDDxs9VEWF/zyUoYe/pp92jOtGXMMi0BEEEpZrEeuRIt6CEF9Sc3xBz6KmAObJw0pv9t9TvpoCA1xUTMesXCvYxOjtIgNfwssvq09MMmXbwGd7bfEbI4aGMaYtgA6OX9YABHProdzDx6sNZDJZBBOWvv7o9lOjj2FZvufPnt0hMfK7XB0SQGaI8H6KqLzOP+ByVoMT8ljfeWJ/+O+642vSo+TCCUueq76N/dZDQltdNkPQZhwQ6GgGIPvUiDUfHzJmWJoICCr3ddu6WvFtvzX5BL8B8oEMpKFsxhRWIYeMHqo0QkYIISpjTxSEeLPvum/uBoh/jNW2Qah7FW5YZ4OHQm9eQLuafRMBqO/i82272fOgCQu9DqU/eiuPRjIzBCkEDhBFGcqPvij4KG7bwF4SLmZberxM3CrDQ/5RttTVFp7JXDJZBBKWqG5VfrCAUJqAJFVMgBQ3wDOMlR6WnT/qtbER5PkRVXypv+jYqQWmrp9NPD9eHEtcN5o7F3xdfuBljBgav2RH08qj9trhulG1uSaBSCKBZWw1SXGyx4PNF4iUSz0pMs/fKK/7POyyAoO6l2PpN39dW3CkoW8mGFYhh40ddgUEFJaax0QdEQOj5eTqQzyCCEg8lnLRofrYFNK/rJzc8LxiligE1+N5sIlY2vAQEHmxm52P0E/FbQk7ZNLd40Kp5CFUe8cYYNmCkujo+yNbLK1sMljahYpYXKyLp5TjqKLvoN49Tn+EJxvFhmlo22ijDEOcm6lkPUZ4PUdWXnj+135aCEivn4PzESj1eQedk1rVZr7api7zs6t9Hdd3oNrlPAh2dAFqmlPcQ1yaeyUGDEqG4r8JZYd4fdTtYuUu/f2OQZbEDBWUr8bACMWz8qCs2qKBEuvrSbzjhbE2Lev6CCEoMMoGtxRe3C7EG51w2l7bDAB6IWRznNXG2/mDUPZTIHwZUQJjqF81pp2X3TXzssYbkKPJcg5BMLmE6R2Oggxr088knmWUpcfNQfxC7eBtV+UUT8i+/ZHvwisHSFBl6fWMfzd16f1M014dd2/uSS1KCdP/9gwtRfQlNtc61nrcozgfYi7K+9Pyp/bYUlCoNtcV0Tmef7T7vdU5mXWOKEr0vJV4wbXVbjOtGlYFbEqgUAkcfnRJ6PXvG5VtvBReTpsbAcwT3Ma+ApX7VsyZXXC8bhX5PQdlK0Kw8ffSyDXKY+BjpjAfAM8/4u6xt6Xh9F0ZQQrCgqUs/2TDC2SsEEZRY2xv2TNGn24RH0hSAaq5DiDlb0B+MNttKtKiyQPiYF+kNN6Q8ZeZD10zvgQcyo+0wSturj6N5HD5j+iHkAfn1C+gDp/KKLaZuMUMxWJoiQ88DRO5KK7nPj8svD9//5tprU9xR50GXAMNkvIqPbaBWFOcDyhplfens1H6xBCVWyMG1bHq7dU62usba4ooztvD2m96OYlw3ihe3JFAJBLC8Ka43LPEbpuUGbOCQ0K/Ztdf2ftZgDIBycOAYW/ehYvCmoGyl/PHHKc+ZqkAsieQXgsY3V5GxjWT1S8frNzVaWuUXE4z7BVPYYHJwm7cMNjBiXNnF1hYwcTV+gxDzC0pk6Paw79Xspq8jbhOU6KeHC0u3B1Gij0ZW0xfBO4gBL15BiQzYUpOSe8XVv8doaNW5Gs28fgFiV88r+iWa07UUg6VNZCDfP//cIjFlj55HTCmTT8AAKmUHk/b6vU3Dvnlu2FYriuJ8iLq+bGzMgWNYIi1o0MvoVU/K1oUXpl5k9tnHXUe6Ddt1gwFJ+lRWqCf0S9ZDW183elrcJ4GOTgCOJHU/RD/oF15oDPSHAZ0qbL555t6MViRbwHMcs62otLDFvbU9AgVlK3V0YNUrBEIJD3qvEDS+Oe9eLs+nV3rm92r6E5VnjFT2W8oOo2rxsFLxsYVXw1wTGE3VZjzTA4i8YASZsgVx7RcwylvFVVvzgYjjkRfTo2kbCQfvl+lxxeTZqj8lvK8qHXB56KFsb+z99zckxbCKZ86X6VceeD7VcU884S8clPdRxcf2ggvcXspisNRFBjyx4HruuXWu1RqQN3gJwzT965x07rCFlxasAIEl//SAvniYRknVIZpg4eEzQ1TnQ9T1ZeYTn8eOdZ/jtq4YtuPMMur1pOKjvnAeqXXnwfaQQzKC0rSB323XDc5V/Kb+ML+l7jXR668trhtVHm5JoKMTwIs6vJLqWguzvffezPMKXVPUIFJMcYeBk8ohAScKFo5YeWV3OmbrRTFZV7yg3Hnn2uQkoLYKxwhUeMOwpKEKYePrnWqRBgYh5BvwoMes+ljxxZbfHj1STVleIkd5N/Rj0W9NDdJBv0Zzyh/ERd8PjDLD4BGIOXgw0R9Q2UG6eJPympIII38xH6WKj+1++2UeiLhAIGT0PnwqLryMKDOErh5Mzy/iQ7xjAu2pU90PTvyGvp7II+pPb2aFeA4yUTrSxqTs5koiePFAFwHbtEMYnYcHsyqLvsV5gSUAi8kSLzMjRsTTQk7PDzxcuUYR6vxt+xi1rbNV9nF+oD8tBsWgnw8+q99wszTFfFTnA84n0ytXSH1hcIwZDjzQ+3oEUzR52YJfGfHgAEd4ebGkqt6UpbihA76yoaauUr9h63Xd6N1ZEA+i8q67UhdXW103tvLzOxLoyATUAgr6NRl037wf4pmL57Q6HtcsuiipF3L1PbZwrOgLbBSbccULStMjpleO2tfFT9j46OiuKh7H4qadb4AnQp/bUOXP3EI42gI8Rfr6oeo4zFeJ4CV+VDy8HT33XLZYU7+//763p1J3/yP+AQe4BSUe9MqOuQU/U1CiGdMUdzgOE8ciQCRj8ALEsGkPn/GgHj/efwWbpCHtn9lEq9u1TcWi3iz1ePq+ORJe/62tWCINvAxAaOFNFp5CnKNmfzqt2KF24SWGxxVdMPQpgfSyYR/nMW5+tlYACKWozgczXfU5n/pCk7AZ9EFXyra+9eo+kKuMug3bPta1z2XDdt3gujCn9MJ0Iyq0xXWjbHNLApVCoBBBaesuA48nRorbXi5xf4CjAPfx9g4xZEAwtCmBhQulmDWrRYwcWS169Yq1aVo0nk1g/vyEmD07IX76KSFqamJipZWqxdJLV2VH5DeREsCdZc6chJg5s8X5S4h4XIju3YUYNKhKrL9+jejTh9dCpMAjNsbrJmKgNEcCBRKYOzch3nyz2bmvStGlixBDhlQln2eDB5fG84yCssAK5uEkQAIkQAIkQAIkUOkEKCgr/Qxg+UmABEiABEiABEigQAIUlAUC5OEkQAIkQAIkQAIkUOkEKCgr/Qxg+UmABEiABEiABEigQAIUlAUC5OEkQAIkQAIkQAIkUOkEKCgr/Qxg+UmABEiABEiABEigQAIUlAUC5OEkQAIkQAIkQAIkUOkEKCgr/Qxg+UmABEiABEiABEigQAIUlAUC5OEkQAIkQAIkQAIkUOkEKCgr/Qxg+UmABEiABEiABEigQAIUlAUC5OEkQAIkQAIkQAIkUOkEKCgr/Qxg+UmABEiABEiABEigQAIUlAUC5OEkQAIkQAIkQAIkUOkEKCgr/Qxg+UmABEiABEiABEigQAIUlAUC5OEkQAIkQAIkQAIkUOkEKCgr/Qxg+UmABEiABEiABEigQAIUlAUC5OEkQAIkQAIkQAIkUOkEKCgr/Qxg+UmABEiABEiABEigQAIUlAUC5OEkQAIkQAIkQAIkUOkEKCgr/Qxg+UmABEiABEiABEigQAIUlAUC5OEkQAIkQAIkQAIkUOkEKCgr/Qxg+UmABEiABEiABEigQAIUlAUC5OEkQAIkQAIkQAIkUOkEKCgr/Qxg+UmABEiABEiABEigQAIUlAUC5OEkQAIkQAIkQAIkUOkEKCgr/Qxg+UmABEiABEiABEigQAIUlAUC5OEkQAIkQAIkQAIkUOkEKCgr/Qxg+UmABEiABEiABEigQAIUlAUC5OEkQAIkQAIkQAIkUOkEKCgr/Qxg+UmABEiABEiABEigQAIdUlA++mhjTixLLlkl1lyzRoSJC6Nh4+fMSIgI9fVSPPtsU4gjckdddNGY2HjjTrkjMgYJtBL49deEmDq1WbzxRov46Schfv1VioYGIbp1E2Lo0JgYOTImll0W11e1GDKkmtxIgARIoKIIzJ+fcO6PzXmVeYstOjn30pj12BdeaBLvvtsiPv1UipkzpVhsMeHcY2Ni7NhqseuunUVNjfWwon3ZIQVlLFabE+Buu8XElCndRJi4MBo2fs6MhIjw7bctzgPbeXJHGFZcUTgnZ/cILdJURyXw228J8a9/NYjbbpNCymCl3HxzIU49tRNfWoLhYiwSIIEOQOCpp5rE+PH5OX++/baLWGYZ94v4l1+2iCOPbBAvvugNZ6mlhJg0qUbsvHNn70ht/EuHFJR33NEgPv9ciptvTogFC9wE11pLiJ12qnIecDVivfVqRJi4sBQ2vjv1wj598UWLWGEFt6AcNkyIlVaKiYEDhejbNyaeeiohPv44k864cUKstlqVw0GK776T4qOPhPjtt8zvw4cL502HgjJDhHs2Arff3iBOPLFFzJ+f+RU3sG22iSW9kv36xcTPP0sxa5Z0XtSk+OuvTDzsvf56JzFmDD3hbir8RAIk0BEJTJ7cKPbYIz8PpSkoH3+8UeyyS7NoatWneNbjvrv22lXivfcS4vHHpZg3L0WxqkqIq6+uFkcc0aVdsHZIQalImm8JvXujea671S0cJi7sh42v8lTI9v33m8Uaa6Sa8wcMEOK667LfRvbZp07cdVfGffTgg+44DQ1SnHNOg7j44oRods73QYOEmDOHgrKQeunIx9bVSbHttnWuN+PBg4W48MIasfvu9iaWhQulOP/8BnHppYk0mmee6SS23JKCMg2EOyRAAh2WAF7AjzyyJXD5Es6tsq4uFV0XlD//nBArr1zv6JbUb0OGCDFtWlfHgeQox9bQ4iSz5Za14oUXUl/EnNby6dM7O4Kz+O3fHVpQfvVVi1huuYxHb/Ro4Xjo7OIpTFxUW9j4rXVf0OaNN5qcvhJNomdPeBW7iv79MyeVMpxLUKp499/fKCZMaBZ9+gjHe2lnouJyW7kEjj22Tlx5ZeYFZYUVhNOPt6sYPDj73DMpHX10nfO2nDr2oYdqnJaB9muKMfPGzyRAAiRQKgTuuadRTJzY7LT2pFoM4WlE2GmnOvHII6l7aNeuQnzwQRdH07ibwxHvl18STktkvZg7F5+E039diLff7u500Ut9Ltb/Di0oZ8xoEaNGZQTlqquiQuziKUxcVE7Y+FFUKDrkbrZZk+POjolrr3VGQFhCUEGJPnBDh9Y6zZR4M7IzsZjnVxVE4NVXm5yuIU3p/pLoAP7FF11Fv365xSQw4a17xIhaMXu2cLzmNc4Nk4Kygk4fFpUESCAAgUan0XG55VL3yUmTqsUxx6Saq9HE3aNHrcDvCGPGoOuQ97P6qqsanGMzXtG33iq+l5KCMlVXoQViewjKJ59scpofm4TZjN1ahOQmqKBE5AMOqBOPPSadPpXdBdzm8EblE7p3j4mLLnJen5wQlR09Hxgxd//9TY53OeH8SfHZZ6kRxej/OWxYzOn8XO14WzuL6uwXN91M4H002Z5xRn06/nnndRUYDe8Vvv8+IS65JPPiouINHVoljj/euy8L3kqnTcvcANRxo0ZVicMP75KzPjCiD30XBwyIieHDq5J9FDtF1Kocj0sxenSd+OYblSshbrqpWhx8sHd5MjEze+eeWy/OPDORPjbI+YG38549Y44HPpYcKb766tWia1dv/pnUUnth688vT0cd1dl5Kc19YmHk+6mnNiQ9Asg/PAPqb7/9OjldVWpy1ieOGzgQo+SrnDSrnKYue5PV8cfXpftTmWXHOXHWWV2TLwH6OWzGC/IZ/M84I3Vd6/GLfT3qaXOfBDoagauvbhBHH93iPGOE+OGHbsl7H8r40UfNYtVVW9Wk8/mYY2LOoBu7IwnxX3utSWy4YWYg0BlnVDnd27KvX8RtsyA7cPjqq2bHD+c8GVv/Vl017lnaMHFhJGx8z4RD/JBISNnc7H/APvvUpsuLcj/4YIPnAbDX0pL6ubERPssMqzD7iyyS4RqVHZXpd99tkssskztfQ4fG5XfftRZGHZzn9tprnfmZNBbXX1/vawl51OPr+5Mne/M/8EB3Xanjhg2Ly3w4LrpoXO6+e6384IMm3/wG+fH0053OkxoD8MX5Ejb8+GOLPPLIWvnKK84J5oR8ytW7d1z+5z91sr4+WAbC1p/Tr9hVVr3chx1WG6jIkya5zxndhjOQL69yr7hiXN5wQ33WNd+1q//18M47TXLWLPe9T89P0P0hQzLXtYLQHtejSptbEuhoBP78MyH79UtdzyeeWOcq3m23ue8pV1zh/xxauDDhuo+NHZt9/boSaIMPzptsxw1hRF+YuCAWNn6xKO+9t1uk+AlKM09z5rTI2293n8QQi6+91iinTm2UTz7ZmPz9rLPq5DbbZB5q1dXuEzcqO0hPPTyRBi64Tz9tlgsWJCQemv/3f3Wyc+dMPt58s3AhBSarrZaxiYfvGmu4y2dygyjH+WCyx7F9+sTlDz/Yhe7ffyck8qzS69YtLiE+5s1Lxbdx7NEjLqdNa5LPP98ob765Xp5wQp0cPNid36qquIQQ+uuvYALMLA8+Q8zowuOYY4IJK5st8zuUC+XU7eM8e/XVRjllSoM888w6udNOtbJTJ3cedtmlNv0CZNrUPyueyn6u+sOxqKPzznOLaBwP3rjp5wp4WVXpqS1e7r78slk2tZ6WtvpEuV98sVH+73/18tRT6+Tqq2fb2W+/WpeY/+mnFnn//Q0S9azSwvbkk+uSQhLn42efZQQlzqtjj62V111XLx9/vEFOmOC+R+D7p55qlLfcUi/32ivz28CB7vO+va7HXOz5OwmUKwG8KOParanJdohcdZX7Wfzvf7sFp1lm3O/1+8Hw4e7r14zfFp8pKFuphhWIYeO3ReXZbJqiJoygVPZGjco8qOD18gp33ZURBfA8maFQO8stl8nHBRfYLyaIEDyUcSFB9BYa3nvP7m388MPcYhWeQf2CVvubbBL3FULXXJO6cXi9UebiCK81xABEt0oT23Hj4rKuLrcYMpl9/32Lyw5sQcBGHXKVa/r0Jrn00u4y4SbrFwqpv9raRJaIRdkhuPwCzg2du9rHS48t5Cr3ww83pF+klK2zz84+/9dc081GF76KwxJLxOWMGe5mjfPPdwvn11931+0TTzQmywPPsB7a43rU0+c+CXQkAr/80pJ8YcU1jpYlMziDcF33le23z46jH2O2lPXs6b5+9bhttU9B2Uo2rEAMG7+tKtC0G4WgXGutzIPKfKiY6a23XiquzRtWiJ25c92i5qOP7A9n5OfQQ1NeFXhfCg1HHJGyteSSGQa44P/5T/+LGenCs4i4vXql3jiVGMD2oouyBYHKqxLmW29tvwEE5XjffQ3JN1093T32yJ1vlQ+1ffbZlKDQ7UTVnUClgW2Qcpl52WEH//IUUn/IE16g4BXXvaMrr2yvF8RHOO641DnTvbv7nPnkE7eQS8UOVu6bbnJ7J2zddTbdNJMevJV6UA+jk07KPu9yCUrYgVgFBxXa63pU6XNLAh2NAFrc1D0WrU5mwAsuPJcqDva//dZ+T8Gx+++faV3AMWiZKHagoGwlHlYgho1frIottqBEM9iee9qbV4MIBsXFtPP+++63M79+jPAMoh8KHqKFBFzAEBS4GOHhgTBUF3PfvvGcffjQFIn4G28cl+eck7lZ4Ds0zaNMtoBmXsQZP95+AwjDEbZMT2UQ76qerzvvzHieVfmD9l/U7eTaD1IueFhVHrAdPdrOCGkVWn+wARGFvoNms7DpxUNcBDRn9+8fl7FYPNn9QM8rziFbCFLueDzhqkfUKbpI6MFPUOJcxL3g88+zH0BBBCXOo4kTM+K9Pa5HvazcJ4GORADOB/UCii46XsHsAoNuP6oLjX4Mnp+4B+n3Hzyzih0oKFuJhxWIYeMXq2KLISjRzIyHru1hpZcz14PTz87vv7uFBB706DOoBhHp6US1r/r1rbNO6kI8+GD3G9899/h7QJUXZ8yYeHIgxfrruy/w5ZePJ0WPmd9HHkkJuG23td8AcnE07aH/oX5jwTkRJtx4o9s7BjHTFtyDlMsUVriheoVC6w924enDAKQXXnB7aXVxpaf/2GOputtii7g0vYo2rwOODVJuxOvSJXP+4GGBTvd68BOUejxzP4igNI9pj+vRzAM/k0BHIaBaNXCfxn3DKzz0UHZf6c03j8uXXmqUzlK4SccHWiFw3zL7veNzsQMFZSvxsAIxbPxiVWwxBKVy1efyfOV6cOays8oqmQeqEkjoaIzBE7NnZ3teCmW84Yap9JQ3FIJApYstHuB+AYMuEA/lRvjmm2aJfiy6jcMPzxZEeLtEHK8+Mrk4mnl69FG3hxF938IE9BnU84z99mryvvRSt6dX1Y2tPIXWH978UVY1on3ZZTN1B3H366/Zg6t23jkl3h94oCE5sEbn9vLL7r6JKs9B6hOj43Vbtv5QxRSUyHuxr0fFi1sS6EgE4HhAczSub7SCmS0PZlnNwTn6fUHto680+myrz9h6daEy7Uf5mYKylWZYgRg2fpSV5mcrakGJExMDPuAdVKOKlas+jKDMxw4Endl8q18wEBBomrM1Afgxsv2GgQuwDeEAb4wK8CqqNOElgkj0CkoE6P3dzFHzsGX29cSAF3y/447ZYhNpBREgep4g/lSesUWZwkz5g4Fc+vHYh8cu6uBXLrBUb94qL+i47jVtVhT1hxs70sK0TQiXXeYW1mY/2PnzW5JdGQYMSE3zdPfdbm7PPWdn5lduxRieWFVubDHFlBmKLSiLeT2aZeVnEugoBI4+OnNtH3VU9nVtK+e559alRah+X8D+SivFk1PF4Tmt/3b55d6eT1saUXxHQdlKMaxADBs/isoKYqMtBKV+kur7YQWlfqy+72cHU6rg7UuPb+6jX93XX3sLvSDcMCUD7KLvnB4uvtjtITvjjOxBDio+pp6BjRVWcHsEzf546HOnpgbCsfBk4Tg0VdtCEAGiH2fO9QhRjqbjoEEN6NA5oxk86qCXC2lhNDy+U/OyqfQxMAzNtH4vDlHUH5qQkKYSlBCM6Gqh8oHvdWF+9dWpG7iazgNT+ai42GK0tC3o5TYHvWGKrq22yqQJO+Bhm3qq2IISZSnW9Wjjxu9IoNwJ4EVZ78qC6b2CBtyfMIATLXSnnFInMd8u7hcqoNuNfv8p9Jmo7IbZUlC20gorEMPGD1MphcSNWlDCNQ8xof7Q90NN0+MnBFEG/cFZiB14DOEtGjHCfcHoFw/me0RTQj4BQgVz7sEe5uPTAwY36CPtMOejV39CNd3OyJFuQYl5M825IjGPpwqYixJpe/UP1DmaAkTZ0LdomtXZYMSyLoT0uLZ9DIRRdazsYB7DqINeLpWObZtrDsyo6k/1gdXnbzMXCnj66cz5gfkt4bWeOTP1UDC7GqD/ky2Y5ca5gJHkyvOvM8CAN0wvYgvtISiRj7a+Hm1l5Xck0BEIwCOprm+0sEUVfv7Z/ZxS4wCish/UDgVlK6mwAjFs/KAVUmi8qAWlTcCoVVTCCMpC7CgmEEXwnmHSbn0EtrpA9903P9GDef+UDUwXhJV59D/1m9qaolPlTzU141gzwLNjTkSN+ScRVN+X3Xaz518XIDaOZlrKnsov+gSGDWh+V8dju9hiwSb4tqWDqS5so8T1cmF0PeZRxN8XXzS7PIMYIe/XZzaq+kMaKKsuKDG6W+eg+rliSiB8D1GnAsSmHvfee4MJSnUMxOlSS8XlllumJiLHlEl+ob0EpcpTW12Pyj63JNCRCKBVSm/xQBeZqII5ZRCeN+0RKChbqYcViGHjF6tyiyEo4WZHM3Qud70uGGxCKKgdGzsIDzXnoHogI0/5BIyuVjaCbL08iUqQDBpkzwf6BOr24bXFSHnMsYnvzeZ2VZZcHFU8tcWKKXo6QfvpqOOxNed/hD00tYQNH3+cKhtWvzGDX7nMMniNsobNqOoPq9qgnPCE6wHeQ8UT3QfgiVYDyjD3pwqYWF/Fwxb9Z21BLzdejNAMhj/bXK6249V37S0oVT6wjfJ61O1ynwQ6CoF//StzX8bzMJ9FJ2wsVB98de9Bl5n2ChSUreTDCsSw8YtVwcUQlGZZkKZtJQ/9wWkTlH52MB0LvEFoLvYL+lJxuKByjZgzbeFBrgb+wOuE5mzzD941eOjUBYsmZFszJAbsIM7ii9svaKwZbS4LiAE88PTiOK9JyMNwRHO33ucUzfX5ru0NT7AqM7boVmBOXWPyND8r4RVWUP7xR2aNW6QN752tHFHWnxL2pqBUKxkpFhC76CKBvo2oUxUwDZaKgy0GsdlCmPq0Ha++K6agLNb1qMrGLQl0JAJ4jukzfsAZEkVANx20QKn7Dlo49P75UaQRxgYFZSutsAIxTHyM6oXgeuaZtndDF1tQwquCJkmb1y7Mg9O0c8MNqQEPNqGqn+CYrkVdTOjs7NW/UT9G31frNyOvfkGfNwzpYTobM8yalRKUfstVwiOppoxQ+VbzRkIc20JQjhC5GPGn7GJbyEg/iHOz3yqa5YO+WaOvneqbeuGF2bxylcucvmiDDbL7gkZZf6qrgNkHFiLa7FMKtlhHXQ9YKlJnr7o06HGwn6vcZnyvz8UUlMW6Hr3Kyu9JoJwJmAtdYJnEQgNaVNC9St1z0Afba/GMQtMKenyHFpSquU0Bx7rAXiFMXNgIGt88kSZNsnstvPIV9nt49VR5sb311vDp6WsE5/IsQiggHQxeMEMhdtR0O/AMoonRKyhBgTyE7YiM0dBqiUUM+vELb73lFgt4KzSnsFFNphC2fgGj8/Q6UvtezbpBOKJTtjmxrW19WL982X6zTRWz7rq534LhucOKQapstjW49XLZRDgG2+jTNsEWRlarEHX9vfJKysOo96FUaf3jH+7rCnnBPUAPav1sVWbbSwfi6+WGUA0zYEpPD2u1q7SwDRr+859M0xuOwyTJuUIxrsdceeDvJFCOBPBirrdw+a32FbR8mEFCt4nn2Ntvu+9HQW1FGa9DC0rMG6ffcPGgx0PfFsLExfFB42OqET0P+hyFtnwU8h1Gm2JOPD09LOeHJemCBngKdQ+a7UEPLyC8cWoNbaR3yCFuQVmoHbUcIWyjqdU2YhbTtOhTMJjzO+YqM7yfipXXFC/KhvI+qvjYXnCB20MF8a5+N8WGsqO2GNmr4qqtTZT7cUQ9oM4xRxmaOpQdbOH1DNv8r/JmbrGSjxLeKg28nKFOIOrMgMEpWC1IxcUWc6TpwSwX4qjR0no81ItuB2/hahnEqOtPTaKOjvPmJObKe6nyYlsuTa3JruKoATx6eWzlxij/sAGCHS97Ki1s8dITJIwd6z7utNPc57HNRjGuR1u6/I4Eyp2AOZ9tvk4lvHhiJgm9hQPXPaZba89mbr1+OqSgxOoVo0a5b5rqxouHxdprx+WVV6YecGHiAlzY+OZanBttFNyToFeU3z68dEhHF1eqvNhiTU+k6zdqFN42iBC9/52ygTcqrBoC0QJbqs+h+h1bNa1MVHbMAQ5IA30TsewU6kBfxQQPVoz0DRrQidlc9QPs0IRom3oIzbwQtXp51T64Y8k/eIvQt1J936NHKq9eK8zgBoD5KFV8bPfbLyPK/TjipQRN0ehqoB+PfXi/4GmLOmDQxT//WZs1Uh1c0BS9ww61EktNYkCSmScMakH/VARVLtUUrsfFGzfs6P0ScYzetIv4qCsIWv3YQuoPTdPIuz4KH+ca8qIHTBOk0tQfCigbRmbbpv1BXV1ySV263LbrCy9wm20Wl2gyDxLQ19achgr5Qh8trI7hNSIek6PD+6rKoG9x3ti8yCo/bXk9qjS4JYGORgD97/V7Iu7ZmN82aMA9Ad2t8HzRPZK4dnFvyeUICZpOVPE6pKDUPWz6TVPfVw/vMHEBPWx8dGZXD34cixtz1MFs5tbLqe/7rRmKB72XINVteO1jolWEqOzAFgaroE+o3plZTx/iFh5Yv9VrYMcMXk3OsG17GNumKNLzYY7e1n/z69MCj6oe94ADMgImCEcIWDQJo/8qJlzHuZZv86nJyOszPHUQLbmuA4hlNOFD6Ot5ylUuXCumoMR5oIs9nZm5n0/92ZqzYRcDgfSAQTb43hyUpZrKzbyozxi9n6vciJtrrXiVF6+XG5Ue6sgWzAeSiq+2ubpItNX1aMsrvyOBjkBALaurrrFdd83c44OUD4MZ1bF4PkNEokUB0+fp99UgtooRJ4ZEBEObEli4UIpZs1rEyJHVolevWJum1VGNz5+fELNnJ8RPPyVETU1MrLRStVh66aqOWtySL1e9o62mT28WP/4oxS+/SOEIJjFgQEwMHFglllqqSiy/fLWI8VQv+XrMN4O8HvMlx+NIIDiBefMS4s8/pejfv0r07l36N1QKyuB1y5gkQAIkQAIkQAIkQAIWAhSUFij8igRIgARIgARIgARIIDiB/wcAAP//1AepdgAAQABJREFU7J0J3BxD/sZ/8155E4I4IkFCEhFHRBBxZcmFdUsIlohz3edai8X+w9pdBGvXsZZFHAlJ3Dcr4iaISAgSQVYkEiHimJn3nXln+t/PjHq7uqd7pnuud+bNU5/P+/ZMT1V11bequ57+1RUyTCd0JEACJEACJEACJEACJJAngRAFZZ7kGIwESIAESIAESIAESCBFgIKSFYEESIAESIAESIAESKAgAhSUBeFjYBIgARIgARIgARIgAQpK1gESIAESIAESIAESIIGCCFBQFoSPgUmABEiABEiABEiABCgoWQdIgARIgARIgARIgAQKIkBBWRA+BiYBEiABEiABEiABEqCgZB0gARIgARIgARIgARIoiAAFZUH4GJgESIAESIAESIAESICCknWABEiABEiABEiABEigIAIUlAXhY2ASIAESIAESIAESIAEKStYBEiABEiABEiABEiCBgghQUBaEj4FJgARIgARIgARIgAQoKFkHSIAESIAESIAESIAECiJAQVkQPgYmARIgARIgARIgARKgoGQdIAESIAESIAESIAESKIgABWVB+BiYBEiABEiABEiABEiAgpJ1gARIgARIgARIgARIoCACFJQF4WNgEiABEiABEiABEiABCkrWARIgARIgARIgARIggYIIUFAWhI+BSYAESIAESIAESIAEKChZB0iABEiABEiABEiABAoiQEFZED4GJgESIAESIAESIAESoKBkHSABEiABEiABEiABEiiIAAVlQfgYmARIgARIgARIgARIgIKSdYAESIAESIAESIAESKAgAhSUBeFjYBIgARIgARIgARIggdVGUD72WCxnaW+8cY30718rzz8fF8PI7h3++vSpdfX03HNxaWryjmDkyHpZY42Qa9hsJxEn4i6mW3vtkAwdWl/MKBkXCZAACZAACaw2BD75JCH469IlJHvu6b89DRJu1qwW+eqrpC+mSMcee/hPh69IfXhabQRlKBTJiWPMmJAcfnitjBnTktPvtdfWyPnnN7r669YtIsuXu/6UOrlgQQfp29ddjHqHElm0KCG9ejVn8xL4t222Efnww06BwzEACZAACZAACazOBBYuTMj48TG5/35DkqbWGzxYZObM3O1pPuH22CMir77qj/aQIWL6zZ0Of7H597XaCMp77mmWjz4y5Pbbk7JypR3QTjuJjBpVY1rq6qRnzxq5++6YTJqUNP3b/eHbttum/R51VL306+cuCidNisn06QmZPNmQZk3/jRghcuCBtXLSSQ15WSg//jghW2+tRWimp3dvMa2qIenWTWTddUPy9NNJmTvXSvfw4SLbb19j5tmQ//3PkDlzRL77zvq9Tx+RhQvLX/GsFPATCZAACZAACVQPgdmzW2TChLhMm2ZIi2Z/yiUo8w0HMuuuG5Hvv/fHaN99xdQC5W/XVxtBqYrh6afjsv/+VrfxOuuIrFjRSerqlI/08aefDBk2LCqzZtnPL13aKN2719hPenw766yo3HRTuut73LiQTJzYUULBe7pbY3/vvRbZccd01/2GG4rcckudjB7d0Po7PhxzTFTuu8/qbn/oIbuf5mZDrriiWa65Jpm6ETbaSGTJkvJXPFui+YUESIAESIAEqoDAb34TlQceSLexaM/14XE77yzy1lvu7Wm+4YBkyZKkbLJJU4rOGmvkhjR6dEjuuadjbo9F9rHaCcr58xOy5ZaWlW/AADGtdu4V4Kmn4nLAAZb4BPs5cxpkwACH+vQolLFjo6al05AGU/MtWuRfiHpEJ6+/HpchQ+LSuTOsio3StWumsM0lKFXc06bFzO79FnPMh5jWS/f8K788kgAJkAAJkAAJiBx7bFTqzeGJI0fWyogRdbLbbk1me5wmk01Q5hsOMWPuxK9/HTeHyoksWFC57fVqJygXLEiYXdWWoBw4UGT2bPcCwpvHVltFZP586za65poaueAC97GTli9Jjafo0SMiS5fCalict4Xp0+NmJY7L6aeH5Oab3d8+/ApK5K1Xr/RYz2jUPf96fviZBEiABEiABEjATqBv34gvQWkPJaY49B/u2mubTN2RlKOPDpk9kO5tvzP+tvhOQZlFUKJArrqqSS6+2JpZlU2A6gX40ktxs8s8bd2cMaO+KDOplcXU2Y2tX9evoESY44+PyuOPG+aYyuyCErPLJk6Mm5N3DFm8WFITjnr2FNluu5BprQ3J8OF15mBkb6ttIiFy7rlRPZmunzt2DJnjRBBvrRlfray3XqYF1jXgLycLTWeuuGfMaEmNw8VYXIxDXbZMZO21xZztjz/MqquRI49skMZGf+MakN5ix7lqlSGXXZbuGkF+rryy0Uyjd3q+/DJpjgWyXrAUg169auR3v+ugvmYcJ0+OyZtvmgXrcP361ciZZ3Yww0Ylbjfut/rE8JLx4xvlhx+Mkly79UKOD6Xg7bgEv5IACaxmBIIIQx1NkHDHHRc153YYcsMNtXLOOd7PZT3+NvlsrGZu/vwW0zYXbv0bODCclcCXXyaMmhrLP8J+9FFL1jD48eSTI6lrbLpp2Egmc3r35QHxtOS49DHHpK+r8vjQQ82ecSO+RMLzZ+ODD1qMnXay513F6zziusuXu0cWi8Ee6i8e5a+hIWwcf3zEWLkyN7xipdONxLJlCeO44yJGKOQv/euvHzbefDPuFlXruVLEqSK/+WasV2Wl9V//alI/uR7ffTdu86+HnTLFu+6ccIK9nqlwvXun76fGRisN6jf9+M47caNU13ZmtJS8ndfidxIggdWLwOabW8+6nXfOrid0MkHC7bhj+hpvvJG9bdHjb4vP5oDS1csFFZSgM2KEVWHQKF56aTQrNAio9dZLh8nlN2tEefw4dqy9oc8mKLNFP2lSs9Gpk5Xvrl3DxtVXR41XXokZ8+a1GE8+GTOOPNIutLp0CRsPPOAuQpYsSRh3320XO2uumRZf//1vzPjPf5qMc86JGGuvbV0TrAcNChurVnmLymKnU2dy773NGenZe++wMXlys/H223Fj9uy48fDDzcYBB9jTjHBerhRx6tfafnt7WvAgyubwQoF7wllvwB7luXix+0vCzz8nDTzc1PU6dgwb5koKBsQb3NdfJ4xp05ozXsYuuihqfPZZS+pFplTX1vNbat76tfiZBEhg9SMQRBjqdPyGw3MSz9e6urARiXi3hXrcbfWZgjKHhRIF4xRCygrjVWhPPRVrtfosWJDDpOgVSZ7nncIgH0H54osxo7bWEiY9e4aN7793r8iPPdZss9516BA23n/f+y2qXz8rXohHp8N1Bgyw/EDYXHONu4AvZTohFmElxfXVHwSTl7vzTkss33abu1WwFHHq6Zk1y93amK08VHikTeVTPw4bFs5qxb7ppnS+hwzJLEvEjRcCPb4ff8ysR6W6dql5K3Y8kgAJrL4E/ApDJyG/4aAh8AxVval4mUcvGHTJ9dc3GehJgpGnEhwFpQ9B+dNPSWONNewNY7ZuTdXtvNtu7o1sKQu+UEG5YkXC6NbNyiu6eqdPN02uWdz550dtomHLLcNGOJwpHBCF3oW+zjrufF56yRLkuJFgAXS6UqYzGk0aW29tMUAa/FiaTzwxbR3+xz8yBWUp4nQyOf309PU33tie9rPOiji9ZnyHZRH5XGut9JswPqs/WKa93H33metQmX733TezjBBGt+5j6IibK8W1y8HbLS88RwIksHoR8CsMnVT8hkMvGJ6xRxwRMS67LGqg3VTPZv2I3qhsusR5/VJ8p6D0ISgBXolEVYBejTQass6d0wV+662ZwqIUhajHWaig/Nvf7OLQK5/6NdHF77REeYXzIyi/+iotbhTrgw7KFESlTOfFF9sZ4Pp+xsEqSxveGp2uFHHq10BXiBouAEslhKHit+66YaOpyV3gqzjQRQ3/Q4eGjSuusOcfltr33nO3Ok+dmn7Y7b+/u1j0IyhLce1S81bceCQBEli9CfgVhk5KfsNdfrn9eaye625HDCPLZQBypqOY3ykofQpKjPPTC3DDDcOuE2QefDDdwKLr16ubuJgF6IyrEEEJ0dSnjyVEkF9z7UvnJVy/P/54Ot+KEcSNuYh6hvMjKB95xB4XxlfqrtTpdIrj++93yYieIO3z3LlxAy8VTleKOPVroDse7NWg8N/+1j6WFuM+s7mlS9OCcvfd0/Ua1nVVljhutZX7+J1HH01f182KjOv5EZSluHapeWdjyd9IgARWHwJ+haGTiN9wY8ZYz3K0zzDWwGqJZ/qxx0Za52uo5zUmRGKOQ1s4CkqfghIDY51dic8+m1lohx6aLvzDD8+0qpWjgAsRlF98YZ8Bjwr63XeZ4sgtH5gNryq0Os6Ykcknl6CEgIVYV3EcckjEwJgR3ZUynXFTPztnKGPSSiGuFHE607PHHmlmalY3uj4UQxwh7LI5TJqCP5QP3Oeft7Ra2lU8p52WWafVeGE3KzLi8SMoi33tcvBG3uhIgARIwK8wdJLyGw4v83gG77df2NVYsXBhi63NhF9MqPQaduZMRzG/U1D6FJSAfuGFdtPzuHH2BhYTDpQYaas3hEIEpXPsIpbACeLQtarEB44YNOx0uqCEn1NOiaSWWBo9OmKbjNOrV9i45ZYm167mUqYTSxDpecDwBT/d3c586t9LEacevxq07bSKqwcR8oOxsBCJXk4NM1ADv+HPORkN8TzxhN3SqSz3EP5uzo+gLPa1S83bLZ88RwIksHoS8CsMnXT8hkPvEyZ6YmiZl8OQJDXUTrVfd9yR2f56hS/WeS5snmNhc31x0HnzEtK/v7UINLZAXL68o2BBbrh7743JuHEtgn22v/oqc39wPa5SfQ6ysLkzDY8+GpNRo6yd7jffXOTTT7Mveq7HMWxYRF56yTozYUKN/P739l2FBg+OyDvvWH6yfcK2mJdcUidjxjTY9kAvZToffzwmBx9sMci2NSfSfuedzeYC3d65wCLfzzxT/Dix9ZdyF13UJFdfnTS30gzJlCnWLgoTJjTJH/5gLcp/2WU15j7u9vJQcXz1VVJ69GiSrbcWmTfPKvMjjojK1Kmmxv7Fde0qMnduo1nH04vOv/xy3Fy0P27Wm5A8/LB1beV/5MiITJ+e/lZjBkkkrLiVn2JfuxRlqPNW6eaRBEiABIIsUK7TyjecHof+edy4qKlBrGf1qaeG5F//ynwm62GK/rlYyrRa4slnHUo9b2qBUfUWgEkJymGmK86fd567tUb5K+WxEAulmk2m8oYBvkGsc5jQocLiePvtmW9IuoUS8WM9R/yZoiv1FgZLl3MheYwT0V0p0+kcC5rNSouueD2/bp+xQkAp4lQ80L2rZuU//bT9FRaTXbB2mUrXJpt4LwGkhiz07Wu3SmNheYRTceCIrhflsBYlzmGoh5vzY6Es9rVLydstjzxHAiSw+hLwa2l0Eso3nDMe9R2TgL2e08pPqY/s8g7Q5Y3CwJIweqEdfHC6If32W6vx9rPuX6kKthBB6Rx3h3x++ql3N6kzD0rYKD7PPWcXOPCvC0qvZYPeeituW1Qd8end56VMp7O7FNf22q0HYhtjPtE1r3f3QxBfeWV6EXiMvS1FnIq9PoEJY3yxM5P+p8pCHZ2iU8Xzv/+lx1AirNNhvU+nyMf6k3DY8QZxY+C4m/MjKIt97VLydssjz5EACay+BPIVhn7DYSzkxx/nbodhmFHPeRz32SfzWV7qUqKgDCgov/nGEo4oNCypgtnc6u1gu+3KX4h6JSlEUMKapsaAqoqJWet+HHazUWFwxJg9WJ6czo+gRBgsZq7Hh3wpV8p0Im7dqoc0PP98pjBWaVFHjKdV6XVa+UoRp7quc5celQavo5clUU102mgj9/p7wQX28sDODdiCdM6c9EPMaxKaH0FZ7GuXkrfiziMJkAAJgIAuDHfZxf356UbKTzi8zCtjxa9+lb3HEDuT6c99zE8ot6OgDCgoUUAHHmiJBxQgunZVd+9112V285azUAsRlEgnupz1Son1N/04NTlDhR0+3P3G8iso1exhr/hKmU4sIKuuiyNmUOdyuHlVGOz043SliBOTWdSORrDKwRrq/MP6k2obUKSvvj5s4KXI6TBhB797dfFjCSi1zaLKJybwwBqP79iG0835EZSluHYpeLvlj+dIgARWbwJ+hKEbIT/hfv1r+3AjCEwvd+65VhuEZ7LbesheYYt1noIyD0HpfBPYYotwqksQli21l7FeQJgZi8VJ3ZYZ0v0V43OhghJjTJ27AmFrp2wO6y7qM4pRmcHIzfkVlHfdZR9a4FwovZTpnDnT3nWA/GCMZzaXS1CWIk50qyNtYJrNYUwv/Km/a6/N3PkG+2vjd7ftMFXcsEjCMqniwXHUqHTcRx2Vv6AsxbVLwVtx4JEESIAEFAE/wlD51Y9+wunPWnz+8EP3rm+Mpd92W+vZjJ5GN8OBfv1SfF7tBCUWntYLCftUB3Ww+rhtf+S2W4hz15EbbiitBRPrAer5wx7TQZ2+LzXigsjItuTMOefYr+k1ng7p0Bec9hpDuXx5ImPrQ0y0cLpSptMpwrA25quveovKXIISaS9mnFhCQq2Lmssq7hRXWJKpxfFc+uSTtKDE0kPZ3M0324W+qmtHH+0uKGGpVn5wdHOlunYxebulm+dIgARWbwLoEdJ3JXMbg+5GyG+4446z2lYYpdwcnuXOHpkzz3R/HruFL+a51U5QYl9ivYFDA4oGLajTBYSKz82S17u3vUHV1/kLes1c/t0WOIXIxbZ8QR0EgsoXjrDCohtadxg3ib1FMV5S+cVb0g8/uF8PY9t0C5duDcMEF0zOmDAhamy2mRUf4sUe2bgB3Vwp0onr4HpOcY7u4r//vSnDCo19xTEAWjFw6/Iudpz6dly51jxVFkCVPhyxdaXudHGOl65sDrO89bjw2W1oBLrJnS9eELdOV4pr4xqlKENn2vmdBEhg9SQAIad6ifTnISYsZlsdJUg4GHI6dUo/bzE2/+WXY61tIeLBpEh9Jx2kA+M43XZrK0cprTaCEgtn9+uX2RCiAGAeHjw4nJrB7Rc6ZvfqlQgNp1sh7rCD/Zp77ulupfF7XTd/qNS4DsSxnib1GYN6cV23Wddu8eEcbgiMDdXH3yG+7t3DxpAh4dQi5Lo4xG/obndbnR8VH12jCKvSpI4Q2DD9u6Ud5YLJINluzmKm08kC6f7rX6OpiVcqveoIKx/GzfbvH86YxJOtjAuNE2NVMfFLpQNHsMNYRWxh6HR42GDXBN2/+ow6g0VzYUWEWFbnsZzTXnuFUwLfGR++Y1hH166Wf4RzLu2EMZXO5YbgD4vvYnktTMRB900prq2nuVDeelz8TAIkQAJYMBxb3DoXElfPTxxhLMH2tQ88YPWs5Rtu9ux4auUOFT/aRbQ7uIY6p44jR7ZNV7eqFauNoHSKH1UA+tHZKCpIXkd93+uTT3Y3MaOrFjPBcR2k4YUX7FY+r7iDnHda0vQ86Z+x2n5Qh+WQTj01YqvQepwQIhAt2fKFRt1NMOrx4DMmhEBgYubyjTc2BdoLvRjp9GKDJRvQfepcFklPP25yCKWJE5sMDInI5fKN06vLGWmBSHM6vTtGT6/67Jy9rc7jiN0XvBzGBet+jz/eXv+9RKwKgzdrzJ5X353HQq7tluZ8ebvFxXMkQAKrLwG0h87nldf38eOtnqB8w4E0esGwQoebiMS10YOItiGb8aUcJbba7ZRT9JXhfUS4apUhn32WkL59a2WttdK76vgIVnFefvjBMHdJaZHPP0/K+uvXmDurhKRXr1rp3Lmy8lSqdCYS2DkoYe6ClJSlS5Oyxhoh6dmzJvXXtWuNbTcfv4VXijj9Xnt19Efeq2OpM88k0D4IGKaUXbAgIW+/nRDoinXXDUm/fjUyaFBdRWSQgrIiioGJIAESIAESIAESIIHqJUBBWb1lx5STAAmQAAmQAAmQQEUQoKCsiGJgIkiABEiABEiABEigeglQUFZv2THlJEACJEACJEACJFARBCgoK6IYmAgSIAESIAESIAESqF4CFJTVW3ZMOQmQAAmQAAmQAAlUBAEKyoooBiaCBEiABEiABEiABKqXAAVl9ZYdU04CJEACJEACJEACFUGAgrIiioGJIAESIAESIAESIIHqJUBBWb1lx5STAAmQAAmQAAmQQEUQoKCsiGJgIkiABEiABEiABEigeglQUFZv2THlJEACJEACJEACJFARBCgoK6IYmAgSIAESIAESIAESqF4CFJTVW3ZMOQmQAAmQAAmQAAlUBAEKyoooBiaCBEiABEiABEiABKqXAAVl9ZYdU04CJEACJEACJEACFUGAgrIiioGJIAESIAESIAESIIHqJUBBWb1lx5STAAmQAAmQAAmQQEUQoKCsiGJgIkiABEiABEiABEigeglQUFZv2THlJEACJEACJEACJFARBCgoK6IYmAgSIAESIAESIAESqF4CFJTVW3ZMOQmQAAmQAAmQAAlUBAEKyoooBiaCBEiABEiABEiABKqXAAVl9ZYdU04CJEACJEACJEACFUGAgrIiioGJIAESIAESIAESIIHqJUBBWb1lx5STAAmQAAmQAAmQQEUQoKCsiGJgIkiABEiABEiABEigeglQUFZv2THlJEACJEACJEACJFARBCgoK6IYmAgSIAESIAESIAESqF4CFJTVW3ZMOQmQAAmQAAmQAAlUBAEKSkcxNDUZ8vzzcTEMxw+Or/3710qfPrWOs+mvzz0XF8Tj5UaOrJc11gh5/Zz1/GOPxbL+jh833rhGBg2qy+mvWjzE4yJPP50739tsUyubb+5eJtOnx+Xnn73LBCy23bZWevd2D18trJhOEiABEiCB0hH45JOE4K9Ll5DsuWd9zgt9+WVS7r47JgsWGPLll4Z07Ciyyy415l+t7Lprnay9tn8tgHbs3XcT8uGHhixcaMh664lstllIhgyplcMOa5C6Nm72KSgd1eHBB2MyZkyL42zm12uvrZHzz2/M/ME8061bRJYvd/0pdXLBgg7St29+wiUUinhH/MsvY8aEZOpUs9a2E7dyJW6caM7cXHVVjVx4YWaZrFiRlK5dm3KGv+GGWjnnnA45/dEDCZAACZDA6kVg4cKEjB8fk/vvNySZFBk8WGTmzE6eEGBUOuOMJrnnHkNaPCTFuuuKPPlkQ0pYekZk/gABe8YZzfLii96+evQQueGGOhk9usHbU4l/oaB0AF6yJP02MWlSUj76yPGj+XXbbUVGjaqRo46ql3793EXhpEkxmT49IZMnG9LcbMUxYoTIgQfWykknNeRtobznnmYzXYbcfntSVq604sannXZKp23o0LqcFdQesrK/wUJ5333Nqbcy5Punn+zp/dWvRPbfv0YOPrhettwys0xipnET4d9/Pyn//rch+K67Aw8MybBhNXLQQXWeVmfdPz+TAAmQAAmsHgRmz26RCRPiMm2aXRhmE5TRqCF77x2V115LM+pg2ikgHpctk4zeT1gsp0ypM7WBuxB84omYHHpoi6AdhOvWTWS//UKmoK2RWbOS8sQTRipe/FZTI3LjjbVy+ultZBgx6FwJ/Phj0thxx7DZR2r/W7o04erf7eSZZ0Zaw48bFzGSSTdf+Z176qlYa9xI4zrrhI14PL+4qinUvfc22/K96aZhI+G/SIw//cm807UyHTEiXE3ZZ1pJgARIgATKRODII602PBSya4Gdd/ZuO8aPT7cz8PPf/8Za2/6ff04at9zSZHTubI+roSFsLFuW2ZDh3AYbWH432yxsfP213V9Li2GgHVPtGtI5c2bbiAFaKCHrPdxTT8XlgAN+eS34xc+cOQ0yYIC/gQpjx0Zl0iRDGswXj0WLGqV7d/P1oUhu/vyEaY2zzJ8DBojMmeNtfi/SZds8mjffbJHddrNMjEOHisyY4T/fd97ZLCeemGjNx2mnheSWW9rP8IDWjPEDCZAACZBAQQSOPTYq9eYwyZEja2XEiDqz7Wkyxy6mo9x5Z5G33nJve7p3j0ivXiIvvNBROnXKHCP5zjstZi9iTBJWUyRuQ7ZGjYrKo4+aWtF0jeZortmzO7j2wn3zTVK2375Jli5Np23QIJG33+4kocxLpz2U6D8FZRawmJiz1VYRmT/f8nTNNTVywQWZ4/QsH+lPGGPRo0ckVcDHHBMyx1EUV7QsWJAwu9wtQTlwICqbe+V2pq2av8+c2WIOZrYE5fDhYg4v8J/viROb5fjjrbv4jDNCctNNxS2baubLtJMACZAACbgT6Ns34ktQ7rVXJDWPARN3vNxpp0Xl1lvTYhF+xo0LmZN3rLYIXdxrrhlpHaK1++5idqF7t3X//GezOQfAattmzmwwu8X9Gb+80hj0PAVlDmJXXdUkF19sqsNfnF/h9tJLcXNcXtq6OWNGvQwdmns2mLqGn2OhghLjQmbMSMi8eUnzz0iJZgwcXmcdMWc6izmWEDPYauSIIxrMN6P0TYG3qXPPzT05xi39eEu7+urcQtwtrH6uLQXlrFktMnFiPDWWc/FiSU286tlTZLvtQqbVOiTDh9flfQOXqjyuu65jykL+44+GXHKJ+8Skbt1CctFFjQWX7Xvvtchdd9kt+nrZde8ekj/+0V4HLr64yXX2/dFH15svDuV9GOpp5WcSIAEScBLwKyid4dy+T5kSkyOPtGbr7L8/JuhYgnHOnBYZONAynpxzTsicdGMJTmecr74alz32sJ6/l11WI1dcYX/eOsMU/XuZhiJU7WW+/DJh1NRY4xMwTuGjj8xBCzncySenx15gjF8xx06qy86f39I6ZgJpGjjQezyHCoPjN98kjBNOiBjO8SBq/IXziPEbajxGLAabrZ2F3+9rrOEvfXpa3T6/9Vbclobhw4PFe9ddWM/JysMZZ0TcLmM798EHLcZOO1lh9PDOz8ccEzGWL7ePcbFF5vhS6vIIh9MDdzHuxplW9b2xMWwUo2wfeMA+vlXFr44dO2aWlT4+SPnD8ZJLog5S/EoCJEACbUtg882tdiDbGEo/qXz1Vfs8iAsusD/znG3V3//elDXaVauStmf8kCGZz9usERThR3PGEV0uAvqAVzR2l15qL3hneDTO662Xrni5/DrD+v2ej6CcPLk5NXlHb7j32Sds4Pzbb8eN2bPjxsMPNxsHHmgXnPhduSVLEsbdd9tFGcQibo4XXogZmCyE3zEoeb/9rJuvtrY4lbvcgnLSpGajUycrH127ho2rr44ar7wSM+bNazGefDJmYOC2LtC7dAkbEFe5XKnKA+X7t79FjUWL7C8+n37aYhx2mDXIvL4+bFx4YbT1BanQskW9f/31uLHHHhYvVdd+//uosXhxptDGJDeIR+WvX7+wYa45aighnIshfycBEiCBchEopqCcNs3+Aj51qr3N+Oc/7e0sntXZ3E8/2QVlnz7FaXOzXdP5GwWlk4jLd6eA6t07e0HpM7AXLLA36i7R53UqqKB8//24gZlkquHG0VyCyPPa+tvRHXdkvhmh4Vdxrb22Nw9zuZ5WfxAchbpyCsoXX4wZEMIqnz17ho3vv3efqv/YY802UdmhQ9gAcy9XyvKAxdFtxj9mGKoHYrduYePdd93TV2jZNpvVyrlCAiz2Xu7889OCEtb8b7/NFJ1e4XieBEiABMpJQD0/0SYUaqG87DLrRRrx/e9/9mcfXs5V24PjQQd5P0PBAM9z3T9mkpfbUVD6IA7lDyucXlhvvuneGCM6dHvC7267la5AgwjKaDRpbLONPf1+LKfoGkc+bropU1DqXcBYsiib23XX9LXBsVBXLkG5YkXCgOhSZQ4L5PTp2RWxEkYqzJZbhl0tbaUuDzeBj6WVDjnEGoYBa6WXK0bZIn7dsgthPmtW5j0DfxDA+B1WcjoSIAESqFQCxRKUeB7DQKHaioMPzhSLkUjSqKuz/OCzs9dJ53TccVbvE+J1G2Kk+y/FZwpKn1SVSFQV4KyzMisAooJYUGtM3XprphDzebmc3oIIyj/+0f4mhDcdP+M6IQCQ32uvzTS1BxEdsNj+5jcRoxSCEum7884m33/O7livMZToMlZljaNXeesFBQvsoEHWA8ArXKnLw01QnnNO+mGzySZh44svvMUk8lOsskW90Rluv32m5RRDLuDHOX5I58rPJEACJFAJBIolKB96yOq5Q2+W17yMHXawtyeHHhpx7X1CG6sPu8Izdd11sxt6SsGTgtInVSxOqjeOG24YNrCgqNM9+GC6oqCSeHWPOsPk8z2IoHSKnPvv9+7qdqZlzpy46ySTXKIDYwyxCKvXjeK8jt/vTgulXib5fHYTlBDbGH+ix4fuBz/u8cetBwXCQ9yhC1h3pS4Pp6C8+OK0sEOdRb3J5YpVtrg/nHm95hrr5QRjhsAIrPE2TkcCJEAClUygGILyhx+SRo8eVvuSbbIN5jQ4JwXvtVfYmDEjZnz3XTLV64OXcfhx9kLie7kdlw3yOW8e60r27BmRJUusAM8+Wy/77GNfDuiww6Ly0EOGHH54yNxOyXuKvxVLfp/8LhuEpYA6d45Ik7ZizPz5HWSLLTK3KAySksGDI/LOO+kQWGro+++t5Q5w9oILmuTaa5PmdocN5rI6mcu/mDeDfP65tRyT17UHDqxLLSyrfncuG4Tzf/qT/wXjJ05MypdfqtjE3B81cx3KRYsS5qK01hqf8P3ddx3NrbO81xRTMS5enDTriQbb/EFfNqoc5bH22iKrVqXL49FHY+ZWoemlKfwuyl9o2SoWOM6d2yKDBsVatw3DNmMffNDB3Fu9xlygN5pap3X69HpzySX7faTHwc8kQAIkUAkEirFskL7+5MEHh+SRRzpmXYD8xhub5eyzrfUl3Th07y7y+OMN5vbL1jJD++4r8vTT9nbZLWxRz5VbwVbz9TDLSrdaYTtF3WG7RowHgx/M/i2l82uhxJI3eprRHe+nuztX2nUrFuL/z3+ajNtvT/9hLKEaP+c1MUWfrKOnz/nZudWl00JZimWDXnrJbo1ef/1gb3roatDzgUldypWrPGAJRPeIno5HHnGYSlWiHMdCy9YRnW0WN9KDVRNUFzzG6dKRAAmQQDUQKNRCiVVD1DMZ3dmYKOnH/fnP0dSYSBVWP/bvH06t0II2WD9//fVWu+PnGsXwwy7vABQ//DBTnOlddZg1jQJF16LbLNsAl8rp1a+gxOxjvZINGBBMHHklxCk69Gvon6tRUEJ46XnAQySIGzrULignTLC6eduyPDbaKGxgrbJcrtCydcbf1JQ09Jnjii0mPa1cmTs9zvj4nQRIgATagkAhghKTDpXBCStaYJm2IA5d3DDEXHll1MAwpptvbkot16fi2Htve7uTbeKlClPsI7u8A9p7Bw2KyKxZVqCpU+tkzBhzs27T7bdfRJ55RuS880Jy/fWl6+7Gtfx2eb/4Ytzcg9RaPX/99UVWrCjcDK53i6Ib84YbrC70Tz5Jym23GRIOi2eXN3aGmTzZ2iUAeXK6GrMn+89/bkzt9KJ+c3Z5l2LrxUceicno0Vba1lxT5Mcf/e+LOmxYRF56SaVY5Pbba+WkkzqkTpSjPHChu+6qNfePN+Tyy+3DCk45JWRu95W9bhZatlbOrU+vvZbexQFL4ys3bVqdHHZY+t5R53gkARIggUolkG+X99KlSXMXtabUkDl0T7/6agdzNzqrzSw0v9jLe+ONmwRDquCy7TOe9lGi/8VWqO09vn/8w25WVtP9sX6emuLvZZUrJhu/FkpYpJyzv4phFdKtWG7LBmFZIliiis2iHF3eWBJKWdHUMcjbnr7cEMI/95w1/KEc5aFPyrnxRnt9RV3AhKlsrlRlu8su1hs0Jq3RkQAJkEA1EcjHQolubTVbGxueoKez2M65ZBDWUG4Lxy7vgNSxVZ4SjhALWCwcs7mxRBC+b7ddeRpKv4IS2evb12rIkUbMWC/U5RId2Dmne/dwajeZQq+lhy+HoMTyRqprArzwh9n7fpxz+ysIOGzfqbtSl4cuKDFe9le/spc/up/RDe3lSlW2ejrAl44ESIAEqomALijxgpzLYb1J7DyHNgSGF7e1eHPFket35wo0v/517nTlijPf3yko8yCnKogSG5iMosbNXXddeQbCBhGURx1ln5yBtRj9OLxZYXmDG27IzFMu0eGMf+zYiHH55dZYQufvfr+XQ1AiLWoRcFXGWIfUj3Pe3G6ThkpdHrqgRJqxWxMWuVV5wTHbXtmlKlsKSj81iH5IgAQqlUBQQXn22em2F5NhZ870t/RckLxj0mqvXtazHe31smV2A0aQ+Ar1S0GZB0HnHpxbbBFOrQMFy6VbYT7xRHNKTD37bOGWQZXcIIISa0GqWddKVDzzTO60TJyYtrpiALDTBREdsPjBkotZx4W6cglK8HXujjRlSnYrJRa132or6+YGa9QVpyt1eTgFJa6PiUGq7HFEXfV6wJWqbCkonTWB30mABKqJQBBBqfbiRjvy2mu529ugHD75pMXA5B71XEcb/957xRetQdJFQRmE1i9+0V0I87UqSHXcf/9My98VV9gbcjdrXx5JMObOtY/zwzZO2ZxzSQHMRM9WyZcvT6QWJkfekAen0xesdhtDqfu/6qo0A79WPj2s87NzSR/svhLE/fvf9jGF2MHHy2EHHlW2OEKoff659/gXtRSOCjNmjHfcpSwPN0GJRcYHD7bXWbwIhcOZXd+lKlt9DGV9fdhAdxAdCZAACVQDATyv1lrLeoZCzHk5GJFUO4D5BNi218/f11/7eyhiWUKMx1TX2Hjjyti6loLSq0bkOH/KKfZuZBSsmwWrd2+r0OFn4EDvSpjjkrafr77aLlQxyQFvLNmcs6sVjToErtOq+vLLsVQ6VWXVl71B/LA46l2obgIGN99nn7UYOqeTT/YWWNnSrf920UX2fHfpEjYWL/Z3EyJNEJAqXzhiv20sx+Dljj7a7h8iDNtc6Q7jJi+7LGqb/LTttmEDOyJkc6UqD+Rr4cLMuoDB4LAU6/nH1of6eMpSlS0YO6+N3R7oSIAESKDSCeCFHMv16M9OfL7ppqaMdZ1hjHH2bjnDeX3PtosdxsNj2Tm9BwnxDBvm3jPaFkwpKPOkjq349EoBKx26PJ1Oze5SfvfcszBBOXp0xHVNP8SPiQ6wQmEmuptDhbzjjiZjgw3sogJhIXyHDAnbTOgqzbDqweGmGjUqkppso35TR6xvCbGFMRxY2Lu2NvMa556bn6DEWE7Mpnduh6iuveaa4dTEE6/F5LHgPPYv17sHVFgcIYhRLvpsbMUPzDBGVn8bRBhMOAIv5FsX1/gN40XdLH8qTnUsZXkgvWDm3PbRaTFHelH2EP+lKFustQbLvXOxd1wX9RWLnGMCFx0JkAAJVBoBtJc77xw2MAYSzyy3P7Qfu+0WNh54ID28CWPW3fz5OQfLpu4wxOu88yIGxuI72yAYp7zaPD2Ocn6moCyAti5wvKxv2NtZWWYgPF54obDG0yle3CrpscdmF26YlQ5xh/Egzn1CVXx4w4IgwSb2ED5wEJSwhCo/QY9uYzHTMWf/D6uZPrPe67roWndzeGP0CqOfzzYcActCnXqqtyiFtRdd3PmUb6nKA/XOKShjZvXDSgR6vvEZD65SlC2EqvNazu/qQexWdjxHAiRAAm1FAM985/PK6/v48en2pxBB6ey1+dOfLKsons8QkZhQCYOWapfbio3bdbmweYnW99SjXbXKkM8+S0jfvrWy1lq594PWw5b6c8S8Xz7+OCFYjLyxUWTTTWvMvahrUnstl/ra1Rr/Dz8YqT2qPzf3Il9//Rrp0SNk7v1da+6ZXnjZsjyqtVYw3SRAAiRQXALLliXNTTWMVHu8zjqFty/FTV1mbBSUmUx4hgRIgARIgARIgARIIAABCsoAsOiVBEiABEiABEiABEggkwAFZSYTniEBEiABEiABEiABEghAgIIyACx6JQESIAESIAESIAESyCRAQZnJhGdIgARIgARIgARIgAQCEKCgDACLXkmABEiABEiABEiABDIJUFBmMuEZEiABEiABEiABEiCBAAQoKAPAolcSIAESIAESIAESIIFMAhSUmUx4hgRIgARIgARIgARIIAABCsoAsOiVBEiABEiABEiABEggkwAFZSYTniEBEiABEiABEiABEghAgIIyACx6JQESIAESIAESIAESyCRAQZnJhGdIgARIgARIgARIgAQCEKCgDACLXkmABEiABEiABEiABDIJUFBmMuEZEiABEiABEiABEiCBAAQoKAPAolcSIAESIAESIAESIIFMAhSUmUx4hgRIgARIgARIgARIIAABCsoAsOiVBEiABEiABEiABEggkwAFZSYTniEBEiABEiABEiABEghAgIIyACx6JQESIAESIAESIAESyCRAQZnJhGdIgARIgARIgARIgAQCEKCgDACLXkmABEiABEiABEiABDIJUFBmMuEZEiABEiABEiABEiCBAAQoKAPAolcSIAESIAESIAESIIFMAhSUmUx4hgRIgARIgARIgARIIAABCsoAsOiVBEiABEiABEiABEggkwAFZSYTniEBEiABEiABEiABEghAgIIyACx6JQESIAESIAESIAESyCRAQZnJhGdIgARIgARIgARIgAQCEKCgDACLXkmABEiABEiABEiABDIJtBtB2dRkyPPPx8UwMjOpn+nfv1b69KnVT7V+fu65uCAeLzdyZL288ELc6+fW8xtvXCODBtW1fi/lB+T37bdb5MknW2ThQkO++caQaFRks81C0rcv/mpkt91qpXdv9zyXMm2MmwRIgARIgATaI4FPPkkI/rp0Ccmee9b7yiLa65deisvs2UmZOzcpCxYY0r17SAYMwF+NjBhRL2utFbLF9e23SXn99RbbOb9f9t67Xjp2tMfnN2w+/tqNoHzwwZiMGZMb+rXX1sj55ze6surWLSLLl7v+lDq5YEEH2WKLZm8Pv/wyZkxIpk7tmNNfoR6+/DIphx7aJO++mz2mWlNLHn10SC69tMEUmBSW2WnxVxIgARIgARJwJ7BwYULGj4/J/fcbkkyKDB4sMnNmJ3fP2tmPP07Iqac2yyuvaCcdH3v1EpkypUF22skySD39dFz23z+3IcsRVerrokUdZNNNy9fmtxtBuWRJUu6+OyaTJiXlo48y0W67rcioUTVy1FH10q+fO+BJk2IyfXpCJk82pFnTjSNGiBx4YK2cdFKDPPRQzIzfkNtvT8rKlfbr7LRT+hpDh9bJrrtaFcLuqzjfXnwxLkceGZcVK9LxrbtuWjT26VMjiYTIrFlJefVVQxYvtq63zjoi33+fu+JbIfiJBEiABEiABEhg9uwWmTAhLtOmGdKi2a78CMpHHomZ7XWLxGJpjo2mTWuDDUS+/VZSPYo63YYGkXvuqZMjjjA/mG7KlHRY3Y/fzxSUfkl5+PvpJ0OGDYuagsruYenSRtO0XGM/6fHtrLOictNN6a7vceNCMnFiRwk5rMbOtwaItRUrOkldaXVkKsWvvRaXoUPjKeGIE4cfHjIFbmOGqTwSMUwB3SSPPZbOC9IWj1NQehQ7T5MACZAACZBABoHf/CYqDzyQbkehBfShdTvvLPLWW97t6vLlSenfvyklHo8/PiSnn17fOiQO8bz1VotceGHMNABZl+3eXWTRok4CcXn33c1yxhmmlcing9UUw97gKCjTHAr6/9RTcTngALuJeM6cBnOMgj+1N3Zs1LR0GqnCXLTIXYjOn5+QLbe0zJgDBojMmeNdqQrKkCPwr38dkeeeS5/cfHNct6N06uRQvL+EQeUaNy6dH5yKxTpJvb/hHr/EwAMJkAAJkAAJrL4Ejj02mmo3R46sNcc51pnzEprMOQtpHrkE5UUXNcl11yXl3/+ulRNO6OAKMRo1ZPfdo+bYSuvnDz7oYApR995Uy1fmp8mTY+YQtxZB9/nChZ2kxp8dLTOiPM60my5vPe9Q/VttFZH5862z11xTIxdc4D520vIlqTERPXpEZOlSkWOOCZmmZ/exkAsWJMyuc0tQDhwoZmUovaCEqb2xMdJqnTzzzJDceKN7GlW+dPG7alVHWXttd/Gp/PNIAiRAAiRAAiTgTqBv34hvQXnllU2yww61st9+2S05t97aLKedZlkiX3ihPjVJxz0F7mfRpb7llhH54guRG26olXPOcRew7qELP9suBSWwXHVVk1x8sWme+8X5FXyYgTVsWNq6OWNGvdm17F4J2kpQfv55wpylbgnZCy6okWuuyS2UhwyJmDPFxBTKlsUVYy3PPfcX27gC5Thed13HlKX2xx8NueSSJsev6a/duoXM3xrld7+Lml3qrl5SQwHGj2/MS8z6ifeHHwxzfIvFRaWiV68aM13eNxXe5t5807qJVbh+/WrkzDO9w8HfrFktMmNGS2pMLcbVfvedyLJlYuZRzDLCX0j22KPGHDvTYL4EUMQrtjySAAmQQDUTCCIo/ebzP/9plt/+1mqLPv20g2y+eTAL5Y03NsvZZydSbdDixR2lc+fytjvtVlAuXpw0l85pSlkcVYF+9FEH03KZvYBOOSUqt91mmDOjxFT5nTLGTqq42kpQIl89e1rCbpddxBREuS2jL78cN5dVSphW2g6yzjrpSgbx19AQUVlyPYbD6e70ZcuS5hhU67q6ZwwwjkY7mcsTRMxll/Rf7J/feaehdeyI/Zfs3/zEi3Etgwb9MuLZEd2UKXXmONP0AGfHT3LiiVG5807TpO1wvXuLfPaZO1eMibnoomZzbIthG0vjiKL16/rrizzxRIPssou/IRetAfmBBEiABEig4giUQlCOHh2VRx5Jt0XbbZfu8US75tdh/kifPtHURN3f/77GNLDkNjT5jdu3P6MduxEjwmbpWH+XXhrNmttYzDDWWy/tP5ff+fNbbHEPHBjOGncxf1x7bStPyN/f/pY9X9muvWRJwrj7biy+mRnnokUttqCfftpiHHaYOdPnF7/19WHjwgujxkcfpf19/XXCmDat2aipscd10UVR47PPWoxEwhad7y9+4kXcKJOxY630qXR26RI2Fi92v/jPPyeNN96IG9tvn05zx45h4557mo1ly9z933tvs+Hkv/feYWPy5Gbj7bfjxuzZcePhh5uNAw6wM0A4OhIgARIggeonsPnm1vN9550Lb/tvvNFqg9dZJ5xqk4JS+r//Mwdimm1zXV3Y+N//3NuvoHEG9W9aWNqvcwql3r2zF/xTT8VaxdKCBXYx5aTUloLykEMyRdPo0ZGCKlG/ftYN0tgYNuJxZ44NA+JL3UjduoWNd9918WQGGzTIigsV/Mcfk5mR5XHGT7wQdEpI6sdhw8JZBe1NN6Vv6CFDvOsI4m5osOcN4tPL3Xmn9ZC47bYmL288TwIkQAIkUEUEVDuINqYQQQkdgbZbtVWbbBI2Pvwwu/Zww/TNNwljzTXTbdMRR0TcvJTlXLsWlD/9lDTWWMMuAN58010EgfYxx6QLdrfdvEWFKpW2FJRffNGSkS9UyNrasAGx+fTTMQPW1iBup50sTrDAOR0sgErIbrpp2IC10svplmFYK4vl/MQLyyJYrLVW+k1N3ag4Xn21tyX3vvuaU+H23dc9vdFo0th6a4sR4stlxUa+TzwxXaf+8Q8KymLVA8ZDAiRAAm1JoBBBOWNGzDjnnIiBXk29fTr00IixdGl+lsXf/z5tnUR82TROqZm1a0EJeEokqoI76yx39Q7B0LlzuoBvvTV349+WghL5evTR5tb0qrzpR3Tznn9+1LOrF3HoLpegxA2A+PEGBUGbzfkRftnCe/3mJ150jyOdQ4eGjSuusG4ynIN18b333F8opk5NC8r993cXlBdfbI/roIMiRtKH4VVZTK+/Pned8so3z5MACZAACVQOgUIEJdoYva3WP2+xRdiYM8e9jfLKPYwonTql48TQrbZ07V5Q/ve/Vjc2Cm7DDcNGi4seevDBtKDo0CFsfP99bqXQ1oISleaTT1qMHXbwrpzIL8Y5wkoGa202l01QKjEFdsh3LudH+OWKw+13P/HiDQ/53n33dDnD2qzfsFttFTYikUwWEOjwh7GPbs7Z3X7//d5d3c7wc+fGDbyw0JEACZAACVQ/gUIEJQwyd9zRZPzxj1Fj5Eh7+4Q2CD2EL73kv4vxvPOsLvO2HlrVbmd5q1lJWNi7Z8+ILFmizog8+2y97LOPfTmgww6LmtsqGqldZ6ZMyb6uI2Jqq1neVi6sT88/H5frr8csbvsK/pYPka23FnPHHO9lCAYPjsg776RDYNmbVavSM5wffTRmblmZ3mfK7+LwI0dGzC0s03FhUdVEwj5b+rvvkvL559aSTno69c8DB9bZFmHPFS/CLl2alI03bjL3QhV5++1O5kz9hGy3XbP89JMV82mnheSWW+xlrHY+OuigkMnJ/hvW/uzc2T6Dff587OuefcUA64r8RAIkQAIk0F4IFHOWN3bK+cMf7DvldDBXrHv44fqca1d+/XXSnNndlNoZZ6210P51lDXWCDA1vNgFUv3vCrlzgJnIupVq3Dh7tzcmjWAiCvw8+aS/N4NKsFA6c45Z2ddcEzUw+UjPr/q8zTbuk20Qj26hhH/EgzEdKiyOjzzizyqXy5Koxivqcbt9do4nyRUv8vHVV2kLpT7r3jk5C9d64gl7XpQlG+NEne6DD+wz+jE0wk93tzMeficBEiABEqh+AoVYKN1y39SUTE3u0dtBTJTN1c6cfbbVRp95Zmbb5XatUp5r9xZKCPB58xLmFkbWotedO4ssX97RXDcxreTvvTdmbk/YIhtuKPLVV/72464kC6XzJQNWWVgWzz67xWaZhT+v1fN1C6UzPvV9o43EXMQ79047uSyJkybFZOzYtNVTxe121Bdhx++54oWfr75KSo8eTSmL7Lx5lmX0iCOiMnWqqY9/cV27isyd22iWeXpfKqzTif3RR40KmW+Gdgvl44/H5OCDrfTm2mbzzjub5Ycf1JUyj1gwndtfZnLhGRIgARKoBgLFtFCq/KJ3bZttmszeQXVG5LXX6s0tGe29qerXJUvS1snmX6TNvHkdzHavbXvNVgtBiQIYNChi7myiikJMcVEnY8akF7veb7+IPPOMyHnnhcyuY7uYsELYP1WyoFQpRdfyAQc0mZvPqzNi7gIk8uKLltBSvzgF5V131Zobyxty+eX2rulTTgnJrbdmZ5RL+M2e3SKTJ1sCTaVBP6Kr/M9/bkzt0qPO54oX/tTC7337YliClc/vvzfMvdyjpuBUsYnZnSDy1FNpP2++2WLuzxqTQw8NyYMP2vP3xBMxOeggK71YqHzFCituK0bz/dI0Dq+5Zvbdh376qaPppw27JfQE8zMJkAAJkEAgAqUQlEjAQQdFzU0wLMPHnXfWyvHHu+/YdtZZUbnpprTfPfYQefll9zYpUMYK9VxK82clxY1lW3Rz8sEHp83D336bSC0Eit/ef9//7Kq26vLGhCKvRbfdeGN5H9Wdjzxi/Ug3p3d568sG6QuuInwoFDZeeSX7sAA/XdNuach1zk+8WNAV6cTSRk734ouxjEXXsf4k3DvvpNevHDMms9vA2eWN+FeudJ9kgy6K11+PG7fc0mSsu6419ADLJ115ZTTFLt8F3p354XcSIAESIIHyEwjS5Q1dgXYFS9K9/HL2tnP8ePvwPK+l7qAB9HZ90iT7EK7yE0lfsd3P8lZgsfAnVpCHGMAflpDBbG4sEYTv222XKUBUWLdjWwnK665Lp/e117JXTD3Ne+5p5RvCxm1chpeghN9f/coKD1YY24ExH17Oj/DzCpvtvJ94MYMOadxoI/fyvOAC+w2LnXGw0w+WakC4ww/PFJSYIa/XHfh7/vnc/DFWF37x17eve3qy5Ze/kQAJkAAJVB4BXVDuskv2Z7u+EgsMHW7tr8rhuedabQbajccecxeKf/iD1Y5hZ51KWUVktRGUKLADD7QX1u23N6XWK0TBQagFcW0lKCdMSDsJozQAAEAASURBVFek447LFD5e6de3S9xsM/fK7yUoESd2DYLwUuIIx0su8V4k3I/w80prtvN+4v3887SgXH9993w2m/en2mZR5QcTePAWie9HHunOFbsPKP847rGHe/x6+k85xQozYEBu/3pYfiYBEiABEqhMAn4FpVMnoO3AxFEvt+OO9nbWzS96x9Sa2Yjv9NPd2yyva5Ty/GolKLHPtC4KsIgoLHawPgXpRkaBOCuKPqvYWWCYUXz55VHj2WdzW7WcYZ3fb745baGEwPO7RRPyqfI9apR75csmKJEGJWRVPGA2c6b7EAE/ws+ZLz/f/cSLPcORRr3b3hk3LJJOgQwuCHfUUe58kFeVd3V85pns5UlB6STP7yRAAiRQ/QT8Ckr05Kn2AsfBg70NC1jVBLvdKf9ew9OcG3Z4bYHcFpRXK0GJwoV5WBWYOnrtjpKtQLBYtQqPY8+e7hXFWfg33BDMEupMw113WWNBe/TI/raDsEqAqrRifJ+b0xfudhNjGLuJm0HFgyOEajic2fU9fLjdn9v18jnnJ14s9o60YYH6bM7JReXr6KPdBSXi0heQhX8s9P7qq96ikoIyWwnwNxIgARKoPgIYA4+tfVWb4TZeX8/VXntZflescLdOYkiec2tftFFO9/PPSWO99az4Kq3na7USlCgcvZFXFWLKFPdxCs7C1L9jsKwKjyMEDMSM0znXhMxmyXSGdfuutghU14ao+fvfmzLGUGBtzcsui6bGisIvJtP85S/u3dQYI+i02C1cmJkXWEQx9lRdG8d99rGPp0SXslO0e1ky3fLndc5vvHfeaQluiP5sbr/97HlBfrBVp5fDgwRbLur5x05E4O+0cOPBATbKb6Xd+F555HkSIAESIAF3AjCsYHKleq6rIyZ3eo2NxPa7SoCiHcAEUMQDB4PMc8/FjG23tdoKxIk1oN2cmkOhrluogcrtGoWcW+0EJSx0qjBwDDqgdfToSGpSih6H+oxZV7DiYUa5cvqAXPjDBJlCHGZt613Y6tprrhlOjQ3E1oEYh4Hv6jdUZudC3kgDKjW6ert3t/yqMHgLwkx4CDndOS2u8A/RjEXVMf4Qe32rONQR4z0wwy3XHuD6dfTPfuKF2IUFEwJPXRcM8HaImd9uDiKwa1fLP8Ide6z7jazCg9lf/2oJdXUtHHv1Su8h3r9/ehiF/luh5a6uzyMJkAAJkEB5CWCrxJ13DtvGLurPd3xGzx62+n3gAUejaSYV7RPmL6gw2Hsb7YTTQIPfYYhw2/4ZPayYbKriQFisUlNJbrUTlIDfp49VKCefnF1AOAvLaclThasfdVHy+OPNrZUGYV94wbuL1Hktr++oWLDEYb9qfekAPQ34jHGOqJxullPEDXEEy6oznPqOCusUlDEz+ZgRr/yo49tvx40uXTLPq99xxJtZPs5PvJh1rV9L//zee97XhdDW/R5/vL/68PHHLakucIxz0cPrn1E2ENITJzZlnRWfDxOGIQESIAESKA+BU0+190zpz3nnZyz94+aWL0+kJgbr4yT1sBiXCb3g5Z56yt7GYbJtpbnVZmHzQtfrLCT8qlWGfPZZQvr2rZW11irugtaGKWewYv7ChQnzL2kurC3SyVzfdKONasyFuuukS5fiXq8QDu0xbCIh8umnidQOPdjpAPuo9uxZk/rr2rVGQsTfHoudeSIBEiCBvAignXjjDexiZwj27N5ssxpzJ79a2WST9K5teUVaIYEoKCukIJgMEiABEiABEiABEqhWAhSU1VpyTDcJkAAJkAAJkAAJVAgBCsoKKQgmgwRIgARIgARIgASqlQAFZbWWHNNNAiRAAiRAAiRAAhVCgIKyQgqCySABEiABEiABEiCBaiVAQVmtJcd0kwAJkAAJkAAJkECFEKCgrJCCYDJIgARIgARIgARIoFoJUFBWa8kx3SRAAiRAAiRAAiRQIQQoKCukIJgMEiABEiABEiABEqhWAhSU1VpyTDcJkAAJkAAJkAAJVAgBCsoKKQgmgwRIgARIgARIgASqlQAFZbWWHNNNAiRAAiRAAiRAAhVCgIKyQgqCySABEiABEiABEiCBaiVAQVmtJcd0kwAJkAAJkAAJkECFEKCgrJCCYDJIgARIgARIgARIoFoJUFBWa8kx3SRAAiRAAiRAAiRQIQQoKCukIJgMEiABEiABEiABEqhWAhSU1VpyTDcJkAAJkAAJkAAJVAgBCsoKKQgmgwRIgARIgARIgASqlQAFZbWWHNNNAiRAAiRAAiRAAhVCgIKyQgqCySABEiABEiABEiCBaiVAQVmtJcd0kwAJkAAJkAAJkECFEKCgrJCCYDJIgARIgARIgARIoFoJUFBWa8kx3SRAAiRAAiRAAiRQIQQoKCukIJgMEiABEiABEiABEqhWAhSU1VpyTDcJkAAJkAAJkAAJVAgBCsoKKQgmgwRIgARIgARIgASqlQAFZbWWHNNNAiRAAiRAAiRAAhVCgIKyQgqCySABEiABEiABEiCBaiVAQVmtJcd0kwAJkAAJkAAJkECFEKhoQdnUZMjzz8fFMLLT6t+/Vvr0qXX19NxzcUE8Xq6pSaSx0evX9PmNN66RQYPqUl8eeyyW3bP5q+4/p+cAHr7/3pBXXom7hujdu0a23TadRlcP2slnn41Lc7M7kzXXDMmIEfWab34kATsBv/cl7hncC7qbPbtFvvwyqZ/K+Ix7Gfe07v73v4S8/35CP2X7PGBArfTqZQ9j88AvJSEQNx9HTz+d+5mIi9fXh6R795Bss02dNDSUJDmMlATKQuCTTxKCvy5dQrLnnoW3l9A4c+e2yKJFSfnmGyP1d9xxDann57ffJuX111vyytfee9dLx46hvMLmE6iiBeWDD8ZkzJjcIK+9tkbOP99dFXbrFpHly/NBY4UZMyYkU6d2TJ0IhSLWDx6fdP8eXvI6/eabLbLbbu4P7/XWE/ngg0bzgW1vwJ0Xwk2w1VbNztOt3/v1E/NG6dT6nR9IwEnA7335wAN1csQRduWwxRYR+fRTZ4z27+edF5Lrr0/fb+qXceOicu+97i9B8HPzzbVy+ukdlHcey0Rg5UpD1lsvGuhq9Wb7u802IttvH5LjjquTPfYovEEOlAB6JoE8CSxcmJDx42Ny//2GJM334sGDRWbOzL+9/O9/42ZcLfLMM4YsW2ZP1Guv1cvuu9ebL2xx2X9/d0OSPUTmt0WLOsimm5bvRbuiBeWSJUm5++6YTJqUlI8+yoS17bYio0bVyFFH1Uu/fu7QJk2KyfTpCZk82TCtclYcI0aIHHhgrXQy68Jnnxly++1JWbnS+h2fdtopHf/QoXWy665p69899zSbafHv3x5jYd9gobznnphptU2YlSwzrv33F3nyyeyV++efDZNFTN59Nyl33JG+KRBT584iJ56It61aOeQQuwjIvBLPrM4EcF+iHj7wQNJ8q84kgfvm4INr5NhjG2STTewvOBCjqL/33WdI1KFDNttM5Mgja+Tww+tMsWG3tr/xRos89FBL6ppLl1rX3HrrdBg8A7x6KSzf/FRsArBQTprULB9+aMhttyXlp5+sK/TqJXL00TUSDhuCMvviC0NmzRJJOAzN++0n5jOpo6y9dvksKVYq+YkEchNAz8qECXGZNs2QFs3Gla+gfO21uFxySdzscbSuvcUWIvvuG5Lttqsx/2pTPY54+ZoyJWY+F7WLWkFyfiq3oDS7kyvf/fhj0thxR/OpJPa/pUsTvhN/5pmR1vDjxkWMZNIe9KmnYq2/4zrrrBM24nG7H/1bUP962GJ83msvOwvF5vbbm3xH/8c/Rlvz/OCDzb7D0SMJgEA4nDR2391eD2tqwsaqVY6bywXXueda96Oqu88+G3PxaT81ZQrGaqSvucMOYeOHH3Jfyx4Dv5WKwL33WmWDMho+PJxxqe++SxoXXmg9d1RZDhoUNn7+mWWZAYwn2pzAkUdaz6pQyP6823nnzDqeLcEJU7JcdJG9/vfvHzbuv7/ZwG9ubuLEJmONNcK+/zp2tNK4aFGLW5QlO1cVghK5f/JJu+DDg2jOnCyKz4Hs6KPTlaKhIWy4CdFPPmlpbagQ94AB2StKUP+O5BT89Xe/s1dK9WDu3DlsfPGFv0qkN84LFvgLU3DCGUG7IgARqOqeOi5Z4vFk1HJ+4onWQ1qFQ33M5f7zHwyITj8wH3oot/9c8fH34hF44414a9mgjNwEpbra5MnNht7wwf8110TVzzySQMUQgAEKzyuIvm++SRibb24JtiCC8qefksZ++1lhUecvvTSaYdwqNONmj0HqPuzVK+wpUgu9hlf4qhGUsCj262cvDL8PICj/jTZKhz3mmIgri/nz7YJy4MDsgjKof9eLFnDy4ovTghIP7dpaO5ehQ8O+KqluZV28OLcIKCC5DNpOCeC+7N3bXv8eeCC30NtqK3sYPFzPOsv93tTRHX98Woh27569B0EPw8/lIfDWW/4FJVKExhTlrv5Qj+hIoNIJ5CMo8Zw85BDrJRo9Obfc4r830S8Tc7KtASGJe+qGG4off650VPQYSucAgauuapKLL7ZmiA4cKDJ7dvYxg4jjpZfiMmxYelDrjBn1MnRo5iDwBQsS5jhMa5BlrriD+nfmpdDvF1/cJFddlZQLLqgxZ0+K/PWvFhfE/fe/18q552afpIABwXvvneayZEmjbLSRfbybWxpnzWqRiRPjqTFTixdLasJTz55ijvkIyYABIRk+vM4cqGwf/6bHs2qVIZddZk6tL8B17Roy42hMjcU691zHQDyf8XbqFJKrr3afyIVZddOmxWXOnKT5Z8i8eWLOlBNzjJ5I794hc4B0rTnOr0Fq3Yft+kxB2luhPDFjesIEq96qi/fqVSO/+513+WMc7ZtvOgazmYH79auRM8/0Dqfi148XXtgk11xj1b+xY0PmBBr7pBrd/6JFCXNGdmaae/fGeGbv+xkzITfaKJIavH7GGSG56Sb7NUyrvWBMn5urM6vk+PGN8sMPRtF5jR3bUJQ6/cc/Npr3bOH1GWMUc8VTY97qnTuHBPfSoEG1ssMOteZqF4WNYZw5s0V22cWaNDh8uJjj173Lc8aMuPm8sAoMaYpEOkqHDqGqubcLvX+LVVbFfK46759yPg+d167E7337RmThwnTKdt5Z5K23vOu4Sv+llzbJX/5iPSP9tM8qbJDjjTc2y9lnJ8zxyCKLF3dM3eNBwhfsN5firKTfv/wyYUDZqzdaHD/6KHdX7cknp98MNt3U23IX1OIY1H+xOapxSBiLhreS7bazc0F30scfZ2czY4bVXek2DEBP8wcftBg77WS/hl4O+mdYgZcvd7d4fvaZ3RKsh/P7ebPN0paMmDnkzm8Ypz+MSXFz774bN1BPnP6d3/EWaC5l4xaFr3PF4on0OtOmvmfrQj7hBOttWfnHMR8rkdMytd56YaMlS9XDmzmuBX977mlnne1+1vM6fXrmeMvGRntcer7w+Z134oYeh/P3fHkVq04Xqz7nEw/GjP/f/0WNpqb8xzE660G2Lm/cJLiWXgYYn4bx8nD55EHFVY57u1j3bz75dCurYtXBFHztX7meh9olK/5jUAvl3Llxm27ZddfSdEXj3tlgg/Qz8Pe/b5vhI1XT5a1q2YgR9kYD3SbZHG5YNFx42GTzG1QgBvWfLY35/PaHP6S7i844I91NiPGkGB+qHqo4Dh6cvVvwtdcsQfn1197iCGMyOnWy4u7aNWxcfXXUeOWVmDFvXktqfCsGLusDlrt0CRtuXZ/wr9II0QtBDIHxxBPNxuGH20UOzptr3BkYN3fUUdZv3bpZYhDj9e6+2xpXh7jRoLz6asx44YWYgW59/D5+fNQ2fgXDBJwOfpUowe+4KT/8sMVYuTKZEiN//WvUxhhjxvJxxeSJ4Ryoi2PHWnwUX5SB11AGTIBA+rffPl2uKAtzBQNj2TLveuCVV3TnbLyxVT9wffD3cgcckPaLsUl//7u97CZM8L6fr7giXedxP7tNmEMdnjat2fbwRlowCB4NLliVglcx63Sx6jPiQXmquoAj7gvcs1OnNht/+lPUGDUqYtTX28vt0EMjeY+7Cioo8dKpp69nT/s9WSwWqIfFvLeLef8ibcUoq2LWQaQJrpjM0jG2j/9BBeX++1v3GNpolFUpHF4IcT/V1RVm7CgkbVUnKJ3iIZdFBTeFemhlm3gSVCAG9V9IIbmFveCCdOWB9VW5v/0tfU7lF0c0wl5u5kzLuuVlUXzxxZhtjCYe+t9/727FeOyxZpuo7NAhbLz/vl10zZqVvibGwDnL4y9/sacfgld3amIW3tCdTh9fu/bamb8r//fdZzWyeNnQ3ZZbWjc+WLo5NMhomMEWgjWoKzZPdf3Zs62y1Mt/2LDsb8M33ZQWdEOGeDNT18h2xIuNfl288Li5aDTZ+nLy8MPNxsKF1gsGwsNi6eUwAB5+MI4ym8OMYT0tyuqlhykmr1LU6WLUZ+Q3VzwQgbindV7//Gd+Y6+CCko8L/Tr4qXIzeXKgwpTjnu7VPcv8pArn9nKqhR1sBzPQ1V21XQMIihVuah6jhe2UjhMFlpzzfR9fMQRpbmGn3RXnaDETCnVoKtCevNNu2jRM47uV/jbbTfvhgr+gwrEoP71NBXjM6xnyJfeuKKbEeZ0xQVHWCDee8+dD84rv6iQTrdiRcKANVD5gQXSratRD3f++XZRiIcSlpdR7vXX09eEIHa6XIIS/iEWYEV0Or073k1w6v4VI9Ql5dDlr/KJY7YVBE45JV2nYFUN4krBU10flkWke6210m+oel5gTfZyqhHed99Mpl5h3M6jXujX3Hpr9/ieey7tDxZRVS/gV4XF27XbCwvqpxrukou73ouBMG6umLxKUacLrc8qz37iUWWiyuDgg/NrkIIISiwfpA8tQbl7vaD5yYPKbynv7VLev0i/n3x6lVWx62A5noeqzKrtGERQXnKJvT1Uw2rwvETb/atfhVMvEjiedFLEyKZlsnFSegD3cL5xZIvf729VJyiRMSUS1QPQa3YorCFYRgf+br01+1t3UIEY1L/fAvHrTwk351s9rH569zTyjnWu3MZGYRyQYvjtt5mC0mnx9OKspxlWP6eFSA+Hbkmk2W2snB9Bie46LAHldH4exioMrNa/+U3E0AWlLq7B5F//8q4vsG5hrAoe4kFcKXiq64Mr0o0Z/qprWJUtulm8XirAE/7QLVOIQxe0GlqirotuZqc755y0GD/oIKsM1XhgFc5tqITqmcD97FaX9ev4EZTF5FWKOl1ofVY8/MSD56Rij2OuJdNU3M6jH0GJ4RGwTOIa6pp4UUX5ejk/eVBhS3lvl/L+Rfr95NOrrIpdB8vxPFRlVm3HIIJSr+dol9FbMnq0vTdH3Qfq6NW748UJL8eqzccQprZ0VSko//tfuzVkww3dJwFgsW4UErpe3aweOvigAjGof/1axfh83nnpSulm3lbdmKqC4uhWSfW1NGEx0B0e/H36WA99xOFXQD3+uL0rC13QmDiUy/kRlF5x5HoYo6sak3nchCziRP3QecEKikXiMeauGK7UPJVFAQuNw1INi7yeHyzTE4nYyxj5evTRdFlhXGOhTi3po677j39kioS+fdPpuvNO6zd9LC/COl+SkC7Uc/zmVt+d6fYjKMvFK986XWh9VkxyxQN/sBTrS4/l2y3nFJTrrhs2UAdgIceLBOqYWtJE1RE0uG4vECr9OObKQznu7VLfv37yCT/5lFU+dbDUz0PkpVqdX0GJceqqnuOI4Txnn51+juF+22abcGrDFufcB/hFG+7XKS2AcLfd5j+c3/iD+KtKQYlG3jkJwG2XDTwYARmTPXK5oAIxqP9c1w/6u9ppBAPrnQ4Pv5Ej7YICXX/OMYn6zECn4Mbi6GCn/zlFp/O66jtm4+vh8BkzynO5fB58Ks5cjY7qEnCO6VThcXTOlEe6IaqvvDJq+F0sXo9P/1xqnhjYj/SCA9znn7e0WudVWZx2WmZdUWOMdYuhnu4gn9EVra6FI+qg7tR4STxM0X2oHATw+utbdQ2WTl3Iw/qJYQyIU3UZqbBuRz+Csly88q3TxajPYJMrHvi59lp7t1w26zz8ezmnoNTrgttnv13rufJQjnu71PcvmObKJ/zkU1b51sFSPg+Rl2p1fgXlp59mtqHquQiLsnIQnkqrqPsE7XWu4WUIjxdjDB9COAx3auvdpqpSUAKks5sMM0Z1B9OymrGLyRy5XFCBGNR/rusH/V11HXpZliDqYBlUFRRHiCO9wunCz7ld3ksv2a3AaPCDOFgn9Gtn69JS8eb74EN4/WGM62JmOCyM+MPwANUlkE1QYuyJbqnR04/Pe+wRTs2QdZthrPLgdSw1z6++SgtKfUF+1U2s58M5/lBZ+7HobqEO3XFqYDiuiTdvfUIMJnvgPMYLOR3uXz2dujX85ZfTdRH3sz5MwRmH+u5HUJaLV751uhj1GTz0eJxji8EAY5nV2FTwhwUYAj8f5xSUsIrfdVdT658SfqqcsQoBVlDI5fQ8IGxb3Nulvn/BQM9nMcsq3zpYyudhrjKv5N/9CkpYzlVdV0evTUfwAu3cTtnNAODkoiyeiB/bS7e1q1pBieVcVCHhiLFVepeeWjID3eF+BEBQgRjUf7ELWlWkffbJbJzVtdwEhV5J1Tgy8HPuifzII3ZrE26iIA43jl4+2ZaDUfHm++BDeP1hrF/X+TmboEQ8mMWJGejOcPp3dNPh7TOIKzVPLA+ENDonwziXYsKST/rSQKqhdLN0B8mf8uu8HpbxUQ4Tf5DG667L7JaBP50xdoJSTr08HnigvwemH0FZLl751uli1WdnPJj1j3NqvTrFHAIGafXzrFTl4jw6BaVzHUo0mvqYMlzbbXKeM15nHlSancdS3tulvn+RZ2c+i1VW+dZBpKlUz0PEXa2uEEGJeQteTj2LVb3eccfsbS5eCDGcT/kv1XJEXul1O1+1ghKZAXAFE0dMMFBONV4YX+DHBRWIQf37SUMQP5jogjw7H9rOOPTtnhQrzBSEw0Qcdc5p+cGSLuo3HGF5Qle6X+cUlLAU5nKFPPj0hzG6AP7976bWP9QBtTJArkYHaUT3P0SP/uDQWeAzrCvobvDrSs1TWZsxRlF3sABtson9PsF+ssqp/ZfzHTen4lFHjIfTWameA7zsqR4Dt8k6eKHRxxJBeCiHSWWIE9YuP86PoCwXr3zrdLHqsx6PXi7Oz+jxKNTlEpSI/5ln7FYb1IlcGwToeWire7vU9y/Y6Pl0lo/+PWhZ5VsHkSa4UjwP0zFX53+9Xci2l7fbJgq5cqwbM7BCC3p9vBwskqpeoPesElxVC0oM+FZAcVRjciCUsAwFzvkRECiIoAIxqP9iF7aqTG7dh/q1sL6k0xoBgYGHBBpxxU/vCkd4dHeo39QxiFVOX24I4ZWI1dPm/FzIg09/GDu7i3AdtW+w3/qAMBDQ6Ho99dRIanyK4qCOSizBby5Xap5olJEuLMXidLAy6N2a8KcGfWP3GHwfM6ZwQYHrootbf2tG3YNlSo3V3HbbzPSp9Dq7fCD6VL5wP/sdw+tHUKp4S80r3zpdrPqsx4MhMCgf/GEXLSXwUf4Q84WOE/YjKFHWevng2rnuIz0PbXVvl/r+BRc9n8Usq3zrINKku2I+D/V4q+2zX0GpnjGo4+ovV153dSz752V1RC+Tfv9isf1KcFUtKLE2nRKO6qEIoYQlgvAdg4r9uqACMah/v+nw608tJL3LLrnz+NBDdqsR2GAmLaxGqqLrwwWQBlgs9QoLf5g178dhPKaKF0csCwJxkMsV8uDTH8ZujQ52bsHbn9cNmittaIRPP916I0S+EJ9fV2qeatLARhu5p0kthK/KBZYezHjHeps452fimt+8qp1w1LUgytUL0GWXWV3ZzvjUGEsVDjslYYIIvkOE+HW6YIGQdnPl4pVvnS5Wfc4WD3YQUqxxdFuOy42d1zm/ghKLPeu7aqGMsr3oZcsD0lKOe7vU9y/ykS2fhZRVvnUQafJyhT4PveKthvO6oMzW/mJlEzVhBvcXZnXncvpkWtwXTkOPCq92ykO8aO+yWTJVmHIcq1pQAhDGVekPRXStqu5Wt7FaXlCDCsSg/r2um+95JW5yjbNQ8TvX7gQzzJhV7NwqpLO7HHH4cWqih4o7V7e8irOQB1+2h7GKXz9CUF9+uSVusNQRZjrnmiSgbwGJ/Hnd8Pq11OdS8sSsbqTHa/IUHm5qm0VVLpjAg4Yc37F1ZrHcHXfYew4wHhI7WuE66AbyckrkqfRhbUwlTm++2V93N+L2IyjLxSvfOl1ofVaMs8WDHgq99wIiD2us5uv8CkrE77yPMF7Qy2XLg1uYUt3bpbx/kY9s+SykrPKpg+V4HrqVXTWc8ysokRf1/MIzDcavXGvoYoy7ev5h5yQ3hzZKra8Nv9ACleKqXlA6B/NvsUU41b2HwtMnH+QCHlQgBvGPmbUQL25LG+VKl9fvmFyDyqSPNfPyi/Ow3DrH0umNids6kcijGnuoKnmuZVsgTDG7U/nHUZ+YkS2N+Tz4VHzZHsbKjzrC2oAuPn3coLJq6yJT+dePam1T5Atdu/ryNro/t8+l5KmWgEJXmZeDRVJ/Y0YeMBkHRzTwxXJYEkifLa/2i+7Rwztt6tpqvCTSpP4gdLDMj1/nR1CWi1e+dbrQ+qxY5YoHVmDFGUcMoQkyVlpdB8cgghKCXh8zi2vrY+D1eHPlQfdbynu7lPcv8pArn/mWVT51sBzPQ73cqulzEEGJsfz6/eW1GxTyryYKKv9eL/nOjSuyvaSXm2vVC0oofph8VSGoY9CdP+bOtY8ZxP622Zxf/87Cv+EG/5aWbNdHZUNeMVbRr3Nu26VY4ejc11rFiQWodX8QLGgMvJxazkiFCTI2T21ur8L6WbtSpUPfncety1v5w/Gqq9JdfbrFVc2IxxqI2brnsSalSl+2Adn69fTPpeKpFqmHyM3mYOlT6dePhXZ3Oq8Ji5MePz77WdYC1kxnOIwrCuJgEdfjcAtbLl751ulC67PKsx6P28sGZnU7XwBvvDG/Z5RzlioW2c/m9AWZUV5YkcNtC1g9D219b5fq/gUnPZ/FLKt86mC5nofZ6kcl/gYDAtZ7VM8XtzHYerphYFG9MwiDzTXcesHwEodnsIoXL+SYMOl06BHTdyTza1ByxlOq71UvKAFG7a2sCgPHXJY0J1Ds5qCHR8OMRsfL+fWvVybEr68T6BV3rvOw1sDao9KL9a78OtVVrsKqY7blQvSKDv+wAmOShe4wbhLj4/SxUZiAga4av27IECtPuA72QfXjYJXQLW9uD2M8CGCV0uvKySdbVjm1BSGuixncmNXpdLC06hNOnGs6Ov17fS8FT72hw8tONodZ3qrc1VEX19nC+v0NokTFrY7Z3s5VvGrWuQqDo58lp1R4WNqdL5gzZ2byKBevfOp0MeozeDjjAUssLu90WKdX5401W52bIDjDuH1XyzupuHAfweri5TB50llWsNIh3co581AJ93Yp7l9nPotZVvnUwXI+D1VZV/qxxbx1dIOCqueY4JjNqo/7S28XsQKNvtIFRKdzjLvXWHMM41PXxbFYBqpisW8XghKD/nXIeEi5jQl0g4Z9NTFWQQ+vPmNSyuDB6e3DVNig/nfYwR43tl/K18G0jYeDWqRbpRPd+xgfB5Gby+ENRzfZqziydd3iZsHYVP3NCOEwKQXpwVuSLujwG8YxYZswP+6EEyIZ2zyqdOGtHZM13BxucHTZ6kstqHBIE4QvhDcWWde7YJUf7DakHMSOOq+OGI+Imccoc8SlzqN+YV26fF0xeWI9VljkVLcy0oglnpBuzDJ0cxgKoo/VQZhjj7VYuIUJeg5CQn+IQlxke2lR8aMeOtOmP3yVP7cjrPbOYR3IG8Yb4SGOMZrl4pVPnS5WfVbxOFdaAAvcw1gNwznERR8mAH94xtx3X+46jucJ4nNu04o48Ie6iG50r80lVG+B8o8jrDjYS7pS7+1i3r+lLKt86qC6r8r5PFTXrNQjxoSjN0oft6jXV3zGiw62u/XaRhQWX30CMcJgeA96cpyTXzH8yO1Zid5YTLpU18aQEbyUVZJrF4ISQPUHmm55ygXbKYRUYelHvbEN6h+Dm9VYIYT1Y6XxSrNzLTQ9jfjstWuOMz5YH5zLyDj9uH1H5cUSOjDzO6+N7xA16OIOmkenUHXG7bV/Mx7GusXQGS7Xd33xbOQXE1QghL0eHBCmGEqRrcvfjZvXuWLwfP75TCGs8o1G2cs5t0nEPtzFdngZU2mBVcevO+44q+snyEoNEK3qem5HLJFULl751Oli1edc8eB55BSUqPvOZ8L48blfUGFZczaUbuwhHN0cXvz13hYVFj0glX5vF+P+LWVZ5VMH9TIq9/NQv3YlfUabp+plrmO2ewbtLjYi8Ypjyy2z6wO19JoKf9hh/p+p5eIZwoWErqQEVq0y5LPPEtK3b62stVaopNcqV+Q//GDI3Lkt8vnnSVl//Rrp0SMkvXrVSufO7SN/336blC++SMrXXyelri4k/fvXSs+eNSXD2955lgwcIyaBgARKcW+39/u3FMwCFlu78f755wmZNy9hti+GtLSIbL11Tap92WST0rUv5YJHQVku0rwOCZAACZAACZAACbRTAhSU7bRgmS0SIAESIAESIAESKBcBCspykeZ1SIAESIAESIAESKCdEqCgbKcFy2yRAAmQAAmQAAmQQLkIUFCWizSvQwIkQAIkQAIkQALtlAAFZTstWGaLBEiABEiABEiABMpFgIKyXKR5HRIgARIgARIgARJopwQoKNtpwTJbJEACJEACJEACJFAuAhSU5SLN65AACZAACZAACZBAOyVAQdlOC5bZIgESIAESIAESIIFyEaCgLBdpXocESIAESIAESIAE2ikBCsp2WrDMFgmQAAmQAAmQAAmUiwAFZblI8zokQAIkQAIkQAIk0E4JUFC204JltkiABEiABEiABEigXAQoKMtFmtchARIgARIgARIggXZKgIKynRYss0UCJEACJEACJEAC5SJAQVku0rwOCZAACZAACZAACbRTAhSU7bRgmS0SIAESIAESIAESKBcBCspykeZ1SIAESIAESIAESKCdEqCgbKcFy2yRAAmQAAmQAAmQQLkIUFCWizSvQwIkQAIkQAIkQALtlAAFZTstWGaLBEiABEiABEiABMpFgIKyXKR5HRIgARIgARIgARJopwQoKNtpwTJbJEACJEACJEACJFAuAhSU5SLN65AACZAACZAACZBAOyVAQdlOC5bZIgESIAESIAESIIFyEaCgLBdpXocESIAESIAESIAE2ikBCsp2WrDMFgmQAAmQAAmQAAmUiwAFZblI8zokQAIkQAIkQAIk0E4JUFC204JltkiABEiABEiABEigXATKKiibmgx5/vm4GEb27PXvXyt9+tS6enruubggHi83cmS9vPBC3Ovn1vMbb1wjgwbVyWOPxVrPeX1QfvF7UP9eceZzPm5m6+mnc6c3V9wbblgju+xSl8tbVfzul0l9fUi6dQvJJpvUyAYb1EgoVBXZYyJJoKIIrFiRlOnTW+S11xLy9dciK1YY0tws0rGjSK9eIenbF394ttaa392f4RWVISaGBAog8MknCcFfly4h2XPPet8xTZ8el3ffTciHHxqycKEh660nstlmIRkypFYOO6xB6gI2z/mmw3eCfXosq6B88MGYjBnTkjNp115bI+ef3+jqr1u3iCxf7vpT6uSCBR1kiy3MJ1wON2ZMSKZO7WgKi0gOn2KmOe0XHoP6zxl5AA8rV6LiRQOEcPc6YoSYoruT+49VdjYfJg0NYr6wiBx3XI2ccEKDrL9+TZXlmsklgfISwH12wQVNctddRk6DgErZXnuJXHRRvQwf7r+hVWF5JIFKJrBwYULGj4/J/fcbkkyKDB4sMnNm7jYVwu+MM5rlxRe9c9ejh8gNN9TJ6NFmQ5XD5ZuOHNHm/XNZBeWSJUm5++6YTJqUlI8+ykzzttuKjBpVI0cdVS/9+rm/3U6aFDPfkBMyeXL6zVjFApF04IG1ctJJDfLQQzEzfkNuvz0pK1cqH+njTjulrzF0aJ3sumud3HNPs2+/iCGof/vVC/sGa9x99zWn3mqQt59+suLr1Uvk6KNrTOutpCy44bDIF18Y8tlnIkuWSKrSK9+77y6mhSF35Vf+K/mYjclmm4n85jc1KSvK4sWGzJ0rKauKnp9G873l2GNDctNNHQO/Ferx8DMJtFcCeOadf35Cvv3WyuEmm4jsv38oZZXcYIOQfPNN2tIydaphey4hxIsv1suwYRSVFj1+qlYCs2e3yIQJcZk2zZAWzTbmR1A+8URMDj20RdBmwXXrJrLffiFTjNbIrFlJeeIJQ5YtS/9WY9o4bryxVk4/vUP6hON/IelwRFXcr0YbuB9/TBo77hg2+63tf0uXJnyn5swzI63hx42LGMlkZtCnnoq1+sG11lknbMTjmf5wJojffPy7XzX/s/fe22zL2/DhYc/Ili9PGAceaPEC+/bocjFBHXn77bgxerTFQtXBsWPd61B75MQ8kYAfApFI0sBzRd0jOG6ySdgwX2qNWMw9hu+/Txrnnx+1hXn88WZ3zzxLAlVE4MgjrXYjFLLfFzvvnL1NXbYsYWywgRVms83Cxtdf2/VOS4thjBhh+cE1Zs7MFCyFpKPUuM3ui7ZxTz5pF3t4WM2ZkwnPK3VHH50u3IaGsOElRD/5pMX2YBswwLvQg/hFmoL698pHvuffeCNuy1s2QamucdppaWbbbOPNQfmtxmMQJrfdhoG41s2Lz5dcEq3GbDPNJFASAuecYzWguD+23jpsLF5sbwS9LnzWWVbYKVMoKL048Xz1EIDh6sQTI8b99zcb33yTMDbf3Go/cgnKQw6x7ofGxrDx8cemenRxMP5stJEV76BB4QxjWSHpcLlkUU+1maCEtahfPwscHljXXOOvQU+YzzQF/ZhjIp5A5s+3C8qBA72FVBC/uGBQ/56JzPOHt94KLihRWevqwkafPt4c8kxORQQLyuS3v7VuctS/Hj3aJ5eKKBwmoqoIvPxyzNCtMOutF041on4zgWc0njO4r+66q8lvMPojgaoh4FdQwpoPwxfuBfztvnv2duYf/7AbO9yslDokv+nQw5Tqc1nHUDo766+6qkkuvtgc0fqLGzhQZPbs3GP7Xnopbo7JSQ9EmDGjXoYOdR+fs2BBwhyLaU3QyRZ/EL9IblD/Ko/FOs6c2WLO1LZmfA8fLubY0tzshg6NpMaVzp2b3e+sWS0ycWI8NV5z8WJJTYTq2VNku+1CMmBAyBxoX2eO/fCeipZIiJx7bvYJRBgn0rlzSLp2DaVmhe6wQ600NuY//Took48/TsjWW1v1A2WzdGmjdO/uPUln1SpDLrvMHKj6i7vyykZZe23vNBeTg5+4VLqcx06dQnL11emJbl9+mTTHAdnzDf+9etXI737nPmYHv0+eHJM33zQL1uH69auRsWMbbFwcXnx9RT247DL7ZLxvv02a45XiMmdO0vwzZN689IxiTKrq/f/tnWeMJUcRx+d2bSyCbUCWjyAbfNKRZKJEBgMfQCSDsMEIvgBGmCBkMCIKh8NggogCbJIN4gPIgEniAzkaBMYEY4IQcGeSBQKDbODd7h17O+xvl/Krqe3p6Z7p2R1QlfQ0897r6a7+V4fq6qqeXTvW/PgWq9NOu0m1GHa5TipXJ8qV7xhYPv/5R3T2HaJA8V3cuXPHWoDZQvXgBx9eHR4eBnX1ku5na/PePe6xVO3bN0/+/vcvVs95TnvbmKec311wwXJ19tmr1UUXLVbUCbrkkgPVVVfNx/x56o27M8+8yVqUeFOY+KqddVZ4LDnllMOi/pm58kzpYynjVko+fWX4kpcs3eiHZ/Ejzz174mNSLiZjtPEXvrDZlra6n1vc+nzfvXv/WoT2xpP3v39Vfe974Tn1Jz9Zqe51r/lc/aIX7VgLulk7FqGFLr/839VJJ/3X0XItzTnnLFTnn98cF/WjqXzoZ0a7H0tTTcn3978/VC8szDV3tPdf/CJsCtb5nXHGhmXpDnfYbA7W6XKsiDlpKSM3vearxH2uNU7KxHLAp41++tOV+r73bcpEVlb2inUYq2eIWJXZ9F3f8XE977ylenk54BAbKsT81geTm92sWde1Y5lMrs2vF17YXD2+5z1x60tJHPrkJZjf/ObzVfEPftC0bksarrHtydNPb1p05bldu2b13r3N3QD5L+eKX5Em+KSPd+Vxwgmz+ne/C7dDnV/Kfa58x8Cyj5yPPnpWP/Wp++sf/zjdbagNj7PPbvpAgm/IR73tefkdVyR83RlThJ785HAbEhl/4AOb+9PS0mprG3jb2zanl7K45sqzD/ahcatPPqkyZMtU8Apdr7wy3gZyMRmjjWsZbUc/1+X3vU+1DGKh13J6+9vjbfb665vt/SEPaY6Llt9UPuxzY3zfti1vqYx2QgV0BrMY0VHZfklJm6P05aSFv9z0sTr1+S9VecIZ+HnP2x907rXlfuQjB2qtYB177Kx+05uW6m9962D985+v1Pi94hCst8JudatZfemlYR+pa689VK9FiDY6E4oN+X384wfqc89dqp/0pP314Yc3B8hTT90fVXot3/I9FRNJT4CW7ujcf/7zcYXy3vdu8poS4FQSB/L68IebAxSYXn75wforXzm4HlzG/3v2LNWPfeyc18XF+aDEgoL2SyCSrT/ybPOT+9e/Vmv8VAWDm950ti5f2hjtQ/Li9xe/eH990UXL9ec+d6A+7bRmOfyO4n7xxcv1058+/+82t5nzSJCcTJzw/tKXLtU/+9lK/fe/r9ZMmK9//VJjGwm+SpDUTerSJd8xsKQeITnf4haz+rvf/Xf95S8frFG8CH4hSEZ45coCnf7+z3/2W5RRNj7WOk98KUsRAZlf//rBeufOZhmMK7QhxvcQsWB473uXa9oCvOFbRoAdymaMcuVJXqX661gyJJjjE584sMkY88pXLq0v7GIGA+qXi8lYbRxetqufU/ZQSlXk3vnO5nj9ilfEdRz6ru5/XS5qqXwMrW/K89uuUNrJEWtHjHQ09q9+NV/5hp7JUfpy0lJWbvoQf0N+S1WeJPKZyMwYfe1rB28crGnMxx8/q4nYDNFnP3ugoVQeccSsvuqq9gld+8qyCrdEXShPdyI6YS6lYiL5MjnrMrnH2bqNfvjDzel5JlZ3nVdJHLryknKRu9TRTtZYs+Q/fX3EI2ZRhf7d794YIPXKWbC57W1nte2XF1zQtHh9+9tNrUEC9LD0CN3lLvP28IY3hAdgFiYo0/COMj2UpA4aC+5T5FsSS12PLjkTGYpiLoqW8E6QXpeypcuRexQ3yUOuKLClSUeqUg59N4XudKcNebMo6aIh8iTvLuxTx62ufPrKEKVaZMQVZb2LhmAyRhvfjn7ehVHq/6mK3He+0xxnn/CE+ALNWoSPPHI+LoZ4S+Uj9Gzp37ZdoUQbl0lBOgcTfRuxzUq6Bz0oDjLP5yh9OWlz826ry5DfU5UnGbhjCuVf/3qoxjok+GOB/OpX45OIPRqEgWE2Cw9oegtdKw26/l/8YjPq/4lPjHc6/azcp2Ii6bFySZ25dq0EX/CCjbZ3+9vPseI5IlpTqCQOKXkJTw984Aa/1mqFZRH+jzpqth6spbHAMt1GoqQ+5jHzPiiD5stetvm5LoWScpgcsUhCbJVqXmKnPzz3uRsywRI6lIbItySWuh6pcmaXgIA7jRt9P5dsPyS/Uu4Empczz5xbpimjLepVP8O9HDf3yU92y3uIPCkrBXuLV2jcSsmH8nJlqHf3sEyn0BBMSrfx7ernKTilpElV5Dh+S/dN7n/723Zj2DOf2ewb7PjEKJWPWB6l/tt2hZKKiJIog2HbBM2KG22ddGx/dFGOkpiTlnJz03fxmvu/VZ6w7GL5kQ/WG6LmZXs6plBiARLsubbhr3nE2mVXyG3PpQyo1k8qdsST5kPfW0xiRynh+wlmut4vf/lmZUjyZ1DAukp6VvkoYfLsrW89S/L7LIlDSl7CO1b9pz1t8zYoW2fU4eEPn9Xnn99sA0Ql/uhH4YUd7go897jHzQc68mILPeQDnaJQkidHgUGUK9hyjfmpYjXhfDcU2iE0VL4lsdT1yJEzGFpLZYp1VZcnOxoa/74+zTpfe99Xobzf/Tb63ac/HVcoh8oTflOwTxm3UvIRfHJkmKtQDsWkdBvfjn4uOJe45ihy97nPfL6gb+HWFToTm7Fa5mzpg8wvMcrhI5ZPif8moVCypSLgccW/hm0AS5ddtjGRscXath2rn8lR+nLSUkZues1XiXurPGn8QvdtCiXO9nK8hzyXOjlzYLE8wxWF60BgnE8ZULFu6smQDpdLFpM2hZL6WT8xrG2hNic8iC+onDdmjxz66EcDFZeH/3stiUNXXiwoCHIJKXjCllgIOMaCumP11/K8611nNZOQpc98ZkPuj398fKCT51IUSknLlb6t+cByic9gl2+YziP3fqh8x8KyS862nvgka+xQ8nPofe9r+nvRJ8fAva9C+YAHbLTRrsPSh8oTzFKwTxm3UvLRMkqVYa5CORST0m18O/q5xnnofY4i96lPbfZ5feQjZzX+xH/72+q6kYLdHSzNdm7qOjc6h4+hde56fhIKJQOW3Ub8whc2b7miZDBY4uSfQjlKX05ays5Nn8JvThqrPOGcj4WQqEo+bG3I4AtmbQrlNdfMgylkIqKBpxBR+vKMXOkgllIG1Le8pWkhi1mlbP7y3WKCBZWtBXxSUIJe+9qlWrZ/hV+uKIl2O1jylOtJJ21MZMKX9b9kcO+ikjh05UUQC3WLWagIGiANeUH79q3cuAMg+HAYviXxY+7yBZLnchVKnrvnPZvKLfyw8Hnd65Zq2mxpGirfsbDskrPFAf9mkR1XXFFyCN9E/Tz3KVveLFzsc6HvBGtBfRVKWfTQBmM0VJ7knYJ9yriVko+uS6oMcxXKoZiM0ca3up9rnIfe5ypyNjgn1D/wQSfoUP+nXYtCPOfyEcqj1G+TUCipDJFPGkROg9eEw7FEfeLEn0I5Sl9OWsrOTZ/Cb04aqzyFrHFYH7E+gWubQvmNbzStw8cckzcBYY7XciPIylJsQP3jHw/VsjKTfDj+JGYttPnLd4uJ5Nd2ZYDF0tF1JApBJuRhLeNY8CRvtilQyGJUEgedFzwQmIEVT6J/JVo/plCCPc/qA/9tkBz/W/9E2VHg7Q8p1EehRGHXFmvBWa7Iju3B0LZRCk86TQn5joWllnOb/7Guiw2qoc12tW/9PL6JgrFcu/ypeR7rFe0BVxV7FBz5EKFOEJcE0/RVKMmD/GKnMZSQJ3WKYZ8zbsXyoRxLqTLMUShLYDJGG9/Kfm5xHvq9jyKHUQOfSOlb+nriibP1Y78Yy/XvXUdj9eFjaN3bnp+MQsmRIBpEfCX1dpuY69kOT51EcpS+nLSAmZu+TQB9f7fKU0ihJG8sauDaplDii6Rxp3HmEP53+vk3v3mzH6IeUElLFDG/6Xeb8jsTJspHqnwtnxYTjpdidccHaxrWtje+calme/rqq9N97mSxYy3j+Kjqup9zzua6ax5L4mDz0nzo+5hCyfFApOWVeprsMT8cH4VDvpAsQtiaS6E+CiX5cvIAK3ZdH3uPAvPrX8cV+S4eS8h3LCy1nFMUSnybNUYo5W3BciFcJLhK58E2eA596UvNRSpHUWHd0tRXoXzYwzbaA2W0UQl5krfGHjz6jls6n5IyzFEoS2AyVhvfqn7e1l76/t5XkWMHkPmY3ZZXvWpp/axUjn0TetSjmmNe1/jWlw8pr+R1MgollZIIPhnMsEAIoRTw+1lnpU1iPJej9OWkzc1b6lDyapWnNoUSxYlBTGOp+cC3Q/DmiiUhx6JhFUosZJb0gKrLsvdDz7tLxcTyF/uOcisR8PbQc5zUdfQebgcxf7OSOOi8WPEy6cuHPiInJ8QUSnFZ2L27qVBy1qM935AzLYXknempfq59FUrKw8/qrW9dbrw317YbFBYsZH2olHzHwlLLOUUZ4cQGjQ9nvOb0Z4JMpO1IPrJNnYovfUD3C/E71s/3VShR6uCr7ZioUvKEV429YBG6do1bOp+SMkxVKEthMlYbB+ux+zlllKYxFDl5PbK0s1DfsfUYgw9bRur3SSmU9h2WcgTDddfNJ+7YBGkrnaMk5qSlnNz0lreh30spT9YXkIbctSLSvIuyJR2AYzQs6QGVwB3cF/hwVIi4MfA8kcVD/ONKYaL51xZc/Hx5c4v+SL3lapVOnVdJHHReoUlK3nYS6y+ytUZ9LGE1sFuXnD8JiY/PU56StrgbolAKXyhFWM84tFtH2Avu1kVGnuu6lpLvWFh2ydnWT2QjuPCWm1xi61qe54qlP+WMQ12O7tcPfehmHqxCGTsaSufLBAtPIV9t0pWSJ3lp7IeMWzqfUF+lLE2pMkxVKEthMlYb13Ufq5/rMkrdj6HI2SODGIe7aAw+usps+39SCiWHSuuVLQoGKxeOCGIQwYE3h3KUvpy08JCbPofvlLSllCeCUfTgD85E06eQfUUUfoSsYi3FBlTe7kCZ8pGjY2weKd9LYaLLIpJZeEu5xqx2JXGI5QX/bKGwXczbR9pIArJud7twv8K3VdcZSyjBF0z+/G5dANrKKaFQ6rxRbuQ8PeGPuvahUvIdC8suOds62/5EgF4u2bMVwRjfrxzSY0pIoZQtWJEfb37pIvyqu3yDS8kTXmLYW5xj41Ysn1Cdbd5tMkxVKEthMlYbD2HAbyX7eVsZQ37XihwBsENJfNOlTzz60Wl5luZjSD0mpVBSkZNPbq6O2UKVbVW2vnIoR+nLSQsPuelz+E5JW1J5shYJzgVNIdsB2rbdYwPqDTesNnwpUUo5W7APlcSE8nFCl8AQ3kfMVp79cEafvAqUgYAtxra37ZTEIZZXCDuOj3nNa5pKAUFE8NwWiMURUPY1bQTwYPXkudSDs3MVSgKl8Hll6z1G+rWN8MOrIXOopHzHwjJHzmx3a59TFud9+xKWYDCVD24FLCBTqUuhtNHkr351s22GysF9R/gJtY2S8qT8GPY541YsH1vPHBmmKJQlMSndxreqn1uMS30vqcjhssNugrTv445r+q3HeC7JR6yclP8mp1CyUhVQufKqLbbeGBx1YEBK5XKUvpy0lJ2TnihZJvPQUUgp9QilKak8URfrN/Wxj8UtBvha6ShnZNVmZegaUO3kgkUjx+9L8CmJCXniNE294D9G+CzqNstRIiEqiUNXXrp8rNBY+631dO/eDYWS7bw2wiJpoxLlnDwUuhTKVShlR8IqwLYsOZcW7IlmRtnPoZLyHQvLVDmziCFKVLfDrujQGFYo5/jW6vxwcaDfp1CXQmmDfwjCBMMYiVWacSdEJeVJ/l3Yp45bXflIXXJlmKJQlsSkdBvfqn4u+Ja+llLkfvnLlXU3KulrWOHbXioRqkMpPkJ55/42OYUSiw9+JgKuXPVbOVIrqVe05MP7otsoJy15pKa3byB5xzvyrKxt/EqkreBDQNMQ+uAHm0cVoGTEjsHBEV3K5hrzp9Nv1AkpLziNW+X0Xe/Kx6kkJkTLytmoXZbxK66YW07AgpVm6NijkjjovLr8sohshy9reWYg43eUsRhdeGGzbfAMn9g2n87vvPOaW+dt/m/yjBxdhOU35EIh6WSyhJcU53V5jmtp+Y6FZYqcceS3hyFz9NZQCh3pAs4Eo3VRl0LJ8/btIUTst02kBAZJuwspyqXlCX8a+yHjls6nra/2kSE7QoIJV0ulMSndxrein1tMSn1n8ap9uUN+6CllcQSi3uFizvn+99N36ErxkcJrSprJKZQwLe/n1Z2ly2IWqizvI9Z5MHHSKUKUk5bnU9Pb1/vpM/+bVzWVAAAGUklEQVRCfKT+Zv1ssCLxSsAhhIKg8cI6bA8QZtuL43H066HufvdZzRZQiLCOWQvXb36zWQZ0LF02qzReI5lDJTHBOib8dJ17Kit3Sc+V11lqKomDzSs02THQwJfuS2ec0VQy9CKCBVKMiPLW9ePeKqhtz8vZgfJ81/YmJxJIWrZaOYnAEtZw+rOks2dl2vT2e2n5joFlTM7Il36EbyPbY4IDVyzIudv/Fh/5zgsBZGElZVAe51WG3opFoB2WRD0+hHwoyZ/gE46Bk3y5shtFMCaLECz9WMH1m7xws2ABaqm0PC328NZn3LL56L46RIZgbw0vLGw1lcakdBvfin6u8Sh1j7FAL2al/RK0mLKzRhoOr9eWa/LgBIOcXdihfJTCQ+czSYXSbofQcVK3WqjcKafsr+985+ZAJUJn5cz7YIkoz03bJ71dhXOOWl9ikmCw1QOs1IsrbgEod0RQ9iEaOj6resVEvvhloRRgQbDKIb55oXPuaOxMbDYKnPzIn3rYCUlv4ZAOpbLt/EypX2lM8Au1b29AcYG30NE0WGZReuDXfpD9N795sBgOgqn2k5MykQ0LACZ7DpsX30/5n6sc/8KZr1g38PeU/zkuileBEckZIgY6zqOU9Fyf8Yx4Ozv99Pa2itWGN0eEiCNhdDnc4+cJf/Rt6in/MzYQxZpKpeXL+bilsYzJmQUpW1y4MAgGcgVT2ltpIjiCMcVG/dPuGRfwweYFClhptCIJXyiMoZcdCI+8yYoxS+oQuz772fs3uTWUlmep/kq7YPwL9dWhMkSptsd6gRtuAxyvx5hZcgwbo40j/zH7ubSvktdLLlle3wkB57Z2yoKBtzldemlzTMIdC9coxgo7v9IeuowWuh5D+ND5jHE/SYWSimqlyVpWuoCwSk9I+DIZ5qSl3Nz0OB7L4M+zbeenddWJ/1nt6ij4UL34LTca3pbNMU045TNBhMpAEUGRitWFSVFbkGw+YGIVSoI97KS1Z0/T0md5LY1J2/Yu/IeONNLbHraOfP/Qh5aL4dCFaah8/RuH6EL24Gmdpm3LkeewAuq0z3pWXKG0A6d+lvvYtixtgcVK2+CN0owbTMwtA54tlZavjYTXdeyLZYqc6YO4ieAXy45ByhufLBa537EoYqnuGgORDUFVWDdD1kRbrkTzUh+rkIInLiTsCIWsP6XlWaq/YmGNjX/Uq68M2xaw0vZsBL38zrXPGDZGG5c2MFY/l/xLXm2gmsbV3tt569xz5ztetAuUSHZqMJ6F2nWM7yF8xPIt8d8OMqmcRkXg+uvrau/eQ9Xu3YvVUUftGLWs0pnfcENdXX31SrVv32p1zDEL1XHH7ahOOGGxOvLI/616lMbF89s6BK67brW65prV6k9/Wq0OO2xHdeKJi9Xxxy9sHQNeUgOB5TWX2iuuWKn+8Ie6+stfaowS1R3vuFDt2sVnsTr66P5jA+PNlVeuVNdeu1rt3LmwLue73W2xUb5/+f9E4P+5n//5z6vVP/5RV8ceu1Dd8pb9+8fUJe8K5dQl5Pw5Ao6AI+AIOAKOgCMwcQRcoZy4gJw9R8ARcAQcAUfAEXAEpo6AK5RTl5Dz5wg4Ao6AI+AIOAKOwMQRcIVy4gJy9hwBR8ARcAQcAUfAEZg6Aq5QTl1Czp8j4Ag4Ao6AI+AIOAITR8AVyokLyNlzBBwBR8ARcAQcAUdg6gi4Qjl1CTl/joAj4Ag4Ao6AI+AITBwBVygnLiBnzxFwBBwBR8ARcAQcgakj4Arl1CXk/DkCjoAj4Ag4Ao6AIzBxBFyhnLiAnD1HwBFwBBwBR8ARcASmjoArlFOXkPPnCDgCjoAj4Ag4Ao7AxBFwhXLiAnL2HAFHwBFwBBwBR8ARmDoCrlBOXULOnyPgCDgCjoAj4Ag4AhNHwBXKiQvI2XMEHAFHwBFwBBwBR2DqCLhCOXUJOX+OgCPgCDgCjoAj4AhMHAFXKCcuIGfPEXAEHAFHwBFwBByBqSPgCuXUJeT8OQKOgCPgCDgCjoAjMHEEXKGcuICcPUfAEXAEHAFHwBFwBKaOgCuUU5eQ8+cIOAKOgCPgCDgCjsDEEXCFcuICcvYcAUfAEXAEHAFHwBGYOgKuUE5dQs6fI+AIOAKOgCPgCDgCE0fAFcqJC8jZcwQcAUfAEXAEHAFHYOoI/AclR/0A5+x36wAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "<IPython.core.display.Image object>"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {
+      "image/png": {
+       "height": 400,
+       "width": 400
+      }
+     },
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# 查看目录（这里直接使用图片）\n",
+    "Image(filename=\"images/4-2.png\", height=400, width=400) "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "417e7c7b-213c-4a2b-853b-14aa16d9fbe9",
+   "metadata": {},
+   "source": [
+    "#### 注：查看 pdf 直接点击下方\n",
+    "- <a href=\"example_files/winter-sports.pdf\">冬季运动（查看 pdf） -- 点击这里</a>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "868a6bbf-a3e7-423b-8631-7ea2a5f399ed",
+   "metadata": {},
+   "source": [
+    "#### 4.1.3 用 Unstructured API 获取结构化数据"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "dc371344-251c-4e0b-bbce-c6e556251b02",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "filename = \"example_files/winter-sports.epub\"\n",
+    "\n",
+    "with open(filename, \"rb\") as f:\n",
+    "    # shared.Files 可能是用于封装文件内容和文件名\n",
+    "    files=shared.Files(\n",
+    "        # 以二进制格式读取\n",
+    "        content=f.read(),\n",
+    "        file_name=filename,\n",
+    "    )\n",
+    "\n",
+    "# shared.PartitionParameters 可能是用于定义文件分区处理的参数\n",
+    "req = shared.PartitionParameters(files=files)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "ef0322d0-3821-42e7-b626-453e9c64a184",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 开始拆分\n",
+    "try:\n",
+    "    resp = s.general.partition(req)\n",
+    "# 处理异常\n",
+    "except SDKError as e:\n",
+    "    print(e)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "id": "a31fc617",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[\n",
+      "  {\n",
+      "    \"type\": \"Title\",\n",
+      "    \"element_id\": \"6c6310b703135bfe4f64a9174a7af8eb\",\n",
+      "    \"text\": \"The Project Gutenberg eBook of Winter Sports in\\nSwitzerland, by E. F. Benson\",\n",
+      "    \"metadata\": {\n",
+      "      \"languages\": [\n",
+      "        \"eng\"\n",
+      "      ],\n",
+      "      \"filename\": \"winter-sports.epub\",\n",
+      "      \"filetype\": \"application/epub\"\n",
+      "    }\n",
+      "  },\n",
+      "  {\n",
+      "    \"type\": \"NarrativeText\",\n",
+      "    \"element_id\": \"9ecb42d4f263247a920448ed98830388\",\n",
+      "    \"text\": \"\\nThis ebook is for the use of anyone anywhere in the United States and\\nmost other parts of the world at no cost and with almost no restrictions\\nwhatsoever. You may copy it, give it away or re-use it under the terms\\nof the Project Gutenberg License included with this ebook or online at\\n\",\n",
+      "    \"metadata\": {\n",
+      "      \"languages\": [\n",
+      "        \"eng\"\n",
+      "      ],\n",
+      "      \"parent_id\": \"6c6310b703135bfe4f64a9174a7af8eb\",\n",
+      "      \"filename\": \"winter-sports.epub\",\n",
+      "      \"filetype\": \"application/epub\"\n",
+      "    }\n",
+      "  },\n",
+      "  {\n",
+      "    \"type\": \"NarrativeText\",\n",
+      "    \"element_id\": \"87ad8d091d5904b17bc345b10a1c964a\",\n",
+      "    \"text\": \"www.gutenberg.org. If you are not located\\nin the United States, you\\u2019ll have to check the laws of the country where\\nyou are located before using this eBook.\",\n",
+      "    \"metadata\": {\n",
+      "      \"languages\": [\n",
+      "        \"eng\"\n",
+      "      ],\n",
+      "      \"parent_id\": \"6c6310b703135bfe4f64a9174a7af8eb\",\n",
+      "      \"filename\": \"winter-sports.epub\",\n",
+      "      \"filetype\": \"application/epub\"\n",
+      "    }\n",
+      "  }\n",
+      "]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 查看部分转换结果\n",
+    "print(json.dumps(resp.elements[0:3], indent=2))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d3251d41-3ae0-4cf0-9aa5-2c67c2c91ac3",
+   "metadata": {},
+   "source": [
+    "#### 4.1.4 找到对应章节所需元素"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "45c16155-cb42-4a76-9767-ffe30bf8ca45",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[{'type': 'Title',\n",
+       "  'element_id': '6cf4a015e8c188360ea9f02a9802269b',\n",
+       "  'text': 'ICE-HOCKEY',\n",
+       "  'metadata': {'languages': ['eng'],\n",
+       "   'filename': 'winter-sports.epub',\n",
+       "   'filetype': 'application/epub'}},\n",
+       " {'type': 'Title',\n",
+       "  'element_id': '4ef38ec61b1326072f24495180c565a8',\n",
+       "  'text': 'ICE HOCKEY',\n",
+       "  'metadata': {'languages': ['eng'],\n",
+       "   'filename': 'winter-sports.epub',\n",
+       "   'filetype': 'application/epub'}}]"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# 将符合特定条件元素形成列表\n",
+    "# 结构化数据中对应元素需满足对应 type（类型）属于 Title（标题）且 hockey 这个词在对应元素 text.lower()（小写文本）中\n",
+    "[x for x in resp.elements if x['type'] == 'Title' and 'hockey' in x['text'].lower()]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "ef558156-a62f-4a57-b685-bb5ae27b0795",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 目标是寻找对应章节所对应元素\n",
+    "chapters = [\n",
+    "    \"THE SUN-SEEKER\",\n",
+    "    \"RINKS AND SKATERS\",\n",
+    "    \"TEES AND CRAMPITS\",\n",
+    "    \"ICE-HOCKEY\",\n",
+    "    \"SKI-ING\",\n",
+    "    \"NOTES ON WINTER RESORTS\",\n",
+    "    \"FOR PARENTS AND GUARDIANS\",\n",
+    "]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "e6bd8ee0-ad8e-455b-94d0-030d67bb355f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "chapter_ids = {}\n",
+    "# 如果结构化数据中的元素满足某些条件则取出来\n",
+    "for element in resp.elements:\n",
+    "    for chapter in chapters:\n",
+    "        if element[\"text\"] == chapter and element[\"type\"] == \"Title\":\n",
+    "            chapter_ids[element[\"element_id\"]] = chapter\n",
+    "            break"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "dd219155-7197-4200-bc0f-020d05a5e816",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'a37f63b4dd470e0bc0d4d92e66758183': 'THE SUN-SEEKER',\n",
+       " '1766cdc7e0052527c77938d0a51d0495': 'RINKS AND SKATERS',\n",
+       " '99ff7a9efd2518b35b27b9bee204fc1d': 'TEES AND CRAMPITS',\n",
+       " '6cf4a015e8c188360ea9f02a9802269b': 'ICE-HOCKEY',\n",
+       " 'f342e4727343974b173134e6931b9158': 'SKI-ING',\n",
+       " 'a784c0efc6886ee75314b5fbb7b60ba0': 'NOTES ON WINTER RESORTS',\n",
+       " 'ecc5c7f65b2e27481f7a70508aa9a4c4': 'FOR PARENTS AND GUARDIANS'}"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "chapter_ids"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "id": "49a25bf1-6de1-4159-a92c-237f80b02ed9",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'THE SUN-SEEKER': 'a37f63b4dd470e0bc0d4d92e66758183',\n",
+       " 'RINKS AND SKATERS': '1766cdc7e0052527c77938d0a51d0495',\n",
+       " 'TEES AND CRAMPITS': '99ff7a9efd2518b35b27b9bee204fc1d',\n",
+       " 'ICE-HOCKEY': '6cf4a015e8c188360ea9f02a9802269b',\n",
+       " 'SKI-ING': 'f342e4727343974b173134e6931b9158',\n",
+       " 'NOTES ON WINTER RESORTS': 'a784c0efc6886ee75314b5fbb7b60ba0',\n",
+       " 'FOR PARENTS AND GUARDIANS': 'ecc5c7f65b2e27481f7a70508aa9a4c4'}"
+      ]
+     },
+     "execution_count": 49,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# 将键值对互换\n",
+    "chapter_to_id = {v: k for k, v in chapter_ids.items()}\n",
+    "chapter_to_id"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "id": "f06b49d6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'type': 'NarrativeText',\n",
+       " 'element_id': 'c7c8e2f178cb0dc273ba7e811372640b',\n",
+       " 'text': 'Many of the Swiss winter-resorts can put\\ninto the field a very strong ice-hockey team, and fine teams from other\\ncountries often make winter tours there; but the ice-hockey which the\\nordinary winter visitor will be apt to join in will probably be of the\\nmost elementary and unscientific kind indulged in, when the skating day\\nis drawing to a close, by picked-up sides. As will be readily\\nunderstood, the ice over which a hockey match has been played is\\nperfectly useless for skaters any more that day until it has been swept,\\nscraped, and sprinkled or flooded; and in consequence, at all Swiss\\nresorts, with the exception of St. Moritz, where there is a rink that\\nhas been made for the hockey-player, or when an important match is being\\nplayed, this sport is supplementary to such others as I have spoken of.\\nNobody, that is, plays hockey and nothing else, since he cannot play\\nhockey at all till the greedy skaters have finished with the ice.',\n",
+       " 'metadata': {'languages': ['eng'],\n",
+       "  'parent_id': '6cf4a015e8c188360ea9f02a9802269b',\n",
+       "  'filename': 'winter-sports.epub',\n",
+       "  'filetype': 'application/epub'}}"
+      ]
+     },
+     "execution_count": 47,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# 将 ICE-HOCKEY 这一章节的元素全部取出，然后查看第一个\n",
+    "[x for x in resp.elements if x[\"metadata\"].get(\"parent_id\") == chapter_to_id[\"ICE-HOCKEY\"]][0]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f71c4a8a-5333-4eff-8097-e30bb6fb2337",
+   "metadata": {},
+   "source": [
+    "#### 4.1.5 将文档载入到向量数据库"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "3e4eee60-d688-4235-ac63-02ab5efc7904",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# chromadb.PersistentClient() 用于创建一个用于持久性客户端的类\n",
+    "# path 指定了客户端数据存储的路径，即数据库文件的位置\n",
+    "# settings 用于配置客户端行为，例如是否允许重置\n",
+    "client = chromadb.PersistentClient(path=\"chroma_tmp\", settings=chromadb.Settings(allow_reset=True))\n",
+    "# 重置客户端\n",
+    "client.reset()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "ec45d0a2-ada6-4380-9eb6-b660aa9d275a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 创建一个新集合，名称为 winter_sports，相似度方法使用 cosine 创建一个数据空间\n",
+    "collection = client.create_collection(\n",
+    "    name=\"winter_sports\",\n",
+    "    metadata={\"hnsw:space\": \"cosine\"}\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "59749c41",
+   "metadata": {},
+   "source": [
+    "下面代码可能会遇到这个问题：文件名或扩展名太长。\n",
+    "可以试试以下方法（都试试）：\n",
+    "1. https://blog.csdn.net/BBJG_001/article/details/105464695\n",
+    "2. 以管理员身份运行命题提示符，输入以下字符串，回车后等待完成即可\n",
+    "   \n",
+    "![image3](images/4-3.png)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "id": "ca366ff8-bfb4-4edc-89c5-7147120fadb9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for element in resp.elements:\n",
+    "    parent_id = element[\"metadata\"].get(\"parent_id\")\n",
+    "    # 从元素的元数据中获取父级 ID，如果不存在则设为空字符串\n",
+    "    chapter = chapter_ids.get(parent_id, \"\")\n",
+    "    # 添加元素信息：文本内容，元素 ID 以及对应章节\n",
+    "    collection.add(\n",
+    "        documents=[element[\"text\"]],\n",
+    "        ids=[element[\"element_id\"]],\n",
+    "        metadatas=[{\"chapter\": chapter}]\n",
+    "    )"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8a599975-f80c-478c-845e-3aa06ad26147",
+   "metadata": {},
+   "source": [
+    "#### 4.1.6 在数据库中查看结果"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "77247bc5-4e14-44e5-95cc-dd85d7ec4b47",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['[Image\\nunavailable.]', '[Image\\nunavailable.]', 'Here is a remarkably varied programme, and one that will obviously\\ngive a good spell of regular work to a candidate who intends to grapple\\nwith it. It contains more of the material for skating than does the\\ncorresponding English second test, in which only the four edges, the\\nfour simple turns, and the four changes of edge are introduced, since\\nthis International second test comprises as well as those, the four\\nloops, and two out of the four brackets. These\\nloops, which are most charming and effective figures, have nowadays no\\nplace in English skating, since it is quite impossible to execute any of\\nthem, as far as is at present known, without breaking the rules for\\nEnglish skating, since the unemployed leg (i.e. the one not\\ntracing the figure) must be used to get the necessary balance and swing.\\nThey belong to a great class of figures like cross-cuts in all their\\nvarieties, beaks, pigs-ears, &c., in which the skater nearly, or\\nactually, stops still for a moment, and then, by a swing of the body or\\nleg, resumes or reverses his movement. By this momentary loss and\\nrecovery of balance there is opened out to the skater whole new fields\\nof intricate and delightful movements, and the patterns that can be\\ntraced on the ice are of endless variety. And here in this second\\nInternational test the confines of this territory are entered on by the\\nfour loops, which are the simplest of the “check and recovery” figures.\\nIn the loops (the shape of which is accurately expressed by their names)\\nthe skater does not come absolutely to a standstill, though very nearly,\\nand the swing of the body and leg is then thrown forward in front of the\\nskate, and this restores to it its velocity, and pulls it, so to speak,\\nout of its loop. A further extension of this check and resumption of\\nspeed occurs in cross-cuts, which do not enter into the International\\ntests, but which figure largely in the performance of good skaters. Here\\nthe forward movement of the skate (or backward movement, if back\\ncross-cuts are being skated) is entirely checked, the skater comes to a\\nmomentary standstill and moves backwards for a second. Then the forward\\nswing of the body and unemployed leg gives him back his checked and\\nreversed movement.', '[Image\\nunavailable.]', '(a) A set of combined figures skated with another skater,\\nwho will be selected by the judges, introducing the following calls in\\nsuch order and with such repetitions as the judges may direct:—', 'CHAPTER\\nVII', 'The figures need not be commenced from rest.', 'But when we consider that the first-class skater must be able to\\nskate at high speed on any edge, make any turn at a fixed point, and\\nleave that fixed point (having made his turn and edge in compliance with\\nthe proper form for English skating, without scrape or wavering) still\\non a firm and large-circumferenced curve, that he must be able to\\ncombine any mohawk and choctaw with any of the sixteen turns, and any of\\nthe sixteen turns with any change of edge, and that in combined skating\\nhe is frequently called upon to do all these permutations of edge and\\nturn, at a fixed point, and in\\ntime with his partner, while two other partners are performing the same\\nevolution in time with each other, it begins to become obvious that\\nthere is considerable variety to be obtained out of these manœuvres. But\\nthe consideration of combined skating, which is the cream and\\nquintessence of English skating, must be considered last; at present we\\nwill see what the single skater may be called upon to do, if he wishes\\nto attain to acknowledged excellence in his sport.', 'Plate XXXII', 'He delivers the stone: the skip, eagle-eyed, watches the pace of it.\\nIt may seem to him to be travelling with sufficient speed to reach the\\nspot at which he desires it should rest. In this case he says nothing\\nwhatever, except probably “Well laid down.” Smoothly it glides, and in\\nall probability he will exclaim “Not a touch”: or (if he is very Scotch,\\neither by birth or by infection of curling) “not a cow” (which means not\\na touch of the besom). On the other hand he may think that it has been\\nlaid down too weakly and will not get over the hog-line. Then he will\\nshriek out, “Sweep it; sweep it” (or “soop it; soop it”) “man” (or\\n“mon”). On which No. 2 and No. 3 of his side burst into frenzied\\nactivity, running by the side of the stone and polishing the surface of\\nthe ice immediately in front of it with their besoms. For, however well\\nthe ice has been prepared, this zealous polishing assists a stone to\\ntravel, and vigorous sweeping of the ice in front of it will give, even\\non very smooth and hard ice, several feet of additional travel, and a\\nstone that would have been hopelessly hogged will easily be converted\\ninto the most useful of stones by diligent sweeping, and will lie a\\nlittle way in front of the house where the skip has probably directed it\\nto be. If he is an astute and cunning old dog, as all skips should be,\\nhe will not want this first stone in the house at all; in fact, if he\\nsees it is coming into the house, he will probably say “too strong.”\\nYet, since according to\\nthe rules only stones inside the house can count for the score, it seems\\nincredible at first sight why he should not want every stone to be\\nthere. This “inwardness” will be explained later.']\n"
+     ]
+    }
+   ],
+   "source": [
+    "results = collection.peek()\n",
+    "print(results[\"documents\"])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6f5415c1-fa22-47f8-aad8-c5db2ebba0ac",
+   "metadata": {},
+   "source": [
+    "#### 4.1.7 用元数据执行混合搜素"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "id": "2ea74acf-5504-43c1-8020-fee53a057a75",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{\n",
+      "  \"ids\": [\n",
+      "    [\n",
+      "      \"241221156e35865aa1715aa298bcc78d\",\n",
+      "      \"7a2340e355dc6059a061245db57f925b\"\n",
+      "    ]\n",
+      "  ],\n",
+      "  \"distances\": [\n",
+      "    [\n",
+      "      0.5229756832122803,\n",
+      "      0.7836341261863708\n",
+      "    ]\n",
+      "  ],\n",
+      "  \"metadatas\": [\n",
+      "    [\n",
+      "      {\n",
+      "        \"chapter\": \"ICE-HOCKEY\"\n",
+      "      },\n",
+      "      {\n",
+      "        \"chapter\": \"ICE-HOCKEY\"\n",
+      "      }\n",
+      "    ]\n",
+      "  ],\n",
+      "  \"embeddings\": null,\n",
+      "  \"documents\": [\n",
+      "    [\n",
+      "      \"It is a wonderful and delightful sight to watch the speed and\\naccuracy of a first-rate team, each member of which knows the play of\\nthe other five players. The finer the team, as is always the case, the\\ngreater is their interdependence on each other, and the less there is of\\nindividual play. Brilliant running and dribbling, indeed, you will see;\\nbut as distinguished from a side composed of individuals, however good,\\nwho are yet not a team, these brilliant episodes are always part of a\\nplan, and end not in some wild shot but in a pass or a succession of\\npasses, designed to lead to a good opening for scoring. There is,\\nindeed, no game at which team play outwits individual brilliance so\\ncompletely.\",\n",
+      "      \"And in most places hockey is not taken very seriously: it is a\\ncharming and heat-producing scramble to take part in when the out-door\\nday is drawing to a close and the chill of the evening beginning to set\\nin; there is a vast quantity of falling down in its componence and not\\nvery many goals, and a general ignorance about rules. But since a game,\\nespecially such a wholly admirable\\nand delightful game as ice-hockey, may just as well be played on the\\nlines laid down for its conduct as not, I append at the end of this\\nshort section a copy of the latest edition of the rules as issued by\\nPrince\\u2019s Club, London.\"\n",
+      "    ]\n",
+      "  ],\n",
+      "  \"uris\": null,\n",
+      "  \"data\": null\n",
+      "}\n"
+     ]
+    }
+   ],
+   "source": [
+    "result = collection.query(\n",
+    "    # 询问：一个团队里面有多少队员\n",
+    "    query_texts=[\"How many players are on a team?\"],\n",
+    "    # 返回两个结果\n",
+    "    n_results=2,\n",
+    "    # 查找范围：ICE-HOCKEY 章节\n",
+    "    where={\"chapter\": \"ICE-HOCKEY\"},\n",
+    ")\n",
+    "print(json.dumps(result, indent=2))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "335fd24d-e555-4050-9e83-31d5590bb6aa",
+   "metadata": {},
+   "source": [
+    "### 五、内容分块\n",
+    "***\n",
+    "\n",
+    "**分块是将长文本分解为更小的片段，以便更有效地处理和分析**。我们需要分块的主要原因有两个：\n",
+    "\n",
+    "1. 适应有限的上下文窗口：\n",
+    "\n",
+    "- 一些语言模型具有有限的上下文窗口，因此无法处理完整的文档。\n",
+    "- 将文本分块可以确保每个块都在LLM的处理范围内，从而提高处理效率。\n",
+    "\n",
+    "2. 节省成本：\n",
+    "\n",
+    "- 较大的上下文窗口会导致更高的推理成本。\n",
+    "- 将文本分块可以降低推理成本，因为较小的块通常具有更低的成本。\n",
+    "\n",
+    "分块可以通过不同的方法实现，包括：\n",
+    "\n",
+    "- 按字符分块： 将文本按字符数分割成块。\n",
+    "- 按标记分块： 将文本按标记（如单词或标点符号）分割成块。\n",
+    "但是，通过使用文档元素进行分块可以更智能地组织内容，例如根据标题等断点条件将内容分成逻辑上相关的部分。这样做可以保持块内部内容的连贯性，并提高相似性搜索的准确性。\n",
+    "\n",
+    "在实践中，我们可以使用现有的工具和函数来实现文档分块，并根据需要调整分块的参数。分块后的文本片段可以加载到向量数据库中进行相似性搜索，并可以作为提示模板传递给LLM，以获得更准确和相关的答案。\n",
+    "\n",
+    "总之，分块是处理长文本的重要步骤，通过智能地组织文本内容，可以提高相似性搜索的效果，并节省推理成本。"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "id": "1292bace-e5d9-49fb-9e6e-b1140cd025b8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 将之前的结构化数据变为一个列表\n",
+    "elements = dict_to_elements(resp.elements)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "id": "23f783f1",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[<unstructured.documents.elements.Title at 0x1993cab8ac0>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cab8dc0>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cab8940>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cab8a60>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cab8520>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cab8b50>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cab85b0>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cab8040>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cab81c0>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cab80a0>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cab8850>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cab8e20>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cab8070>,\n",
+       " <unstructured.documents.elements.Text at 0x1993cab8fa0>,\n",
+       " <unstructured.documents.elements.Table at 0x1993cab80d0>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cab8b80>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cab8550>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cab84c0>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cab81f0>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cab82e0>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cab9090>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cab9060>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cab9120>,\n",
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+       " <unstructured.documents.elements.NarrativeText at 0x1993caf9060>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993caf90f0>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993caf9180>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993caf9210>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993caf92a0>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993caf9330>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993caf93c0>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993caf9450>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993caf94e0>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993caf9570>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993caf9600>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993caf9690>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993caf9720>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993caf97b0>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993caf9840>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993caf98d0>,\n",
+       " <unstructured.documents.elements.Title at 0x1993caf9960>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993caf99f0>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993caf9a80>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993caf9b10>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993caf9ba0>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993caf9c30>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993caf9cc0>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993caf9d50>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993caf9de0>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993caf9e70>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993caf9f00>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993caf9f90>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cafa020>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cafa0b0>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cafa140>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cafa1d0>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cafa260>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cafa2f0>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cafa380>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cafa410>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cafa4a0>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cafa530>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cafa5c0>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cafa650>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cafa6e0>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cafa770>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cafa800>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cafa890>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cafa920>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cafa9b0>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cafaa40>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cafaad0>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cafab60>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cafabf0>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cafac80>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cafad10>,\n",
+       " <unstructured.documents.elements.Text at 0x1993cafada0>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cafae30>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cafaec0>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cafaf50>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cafafe0>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cafb070>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cafb100>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cafb190>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cafb220>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cafb2b0>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cafb340>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cafb3d0>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cafb460>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cafb4f0>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cafb580>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cafb610>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cafb6a0>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cafb730>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cafb7c0>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cafb850>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cafb8e0>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cafb970>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cafba00>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cafba90>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cafbb20>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cafbbb0>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cafbc40>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cafbcd0>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cafbd60>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cafbdf0>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cafbe80>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cafbf10>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cafbfa0>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cb00070>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cb00100>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cb00190>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cb00220>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cb002b0>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cb00340>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cb003d0>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cb00460>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cb004f0>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cb00580>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cb00610>,\n",
+       " <unstructured.documents.elements.Text at 0x1993cb006a0>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cb00730>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cb007c0>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cb00850>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cb008e0>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cb00970>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cb00a00>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cb00a90>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cb00b20>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cb00bb0>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cb00c40>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cb00cd0>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cb00d60>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cb00df0>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cb00e80>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cb00f10>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cb00fa0>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cb01030>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cb010c0>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cb01150>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cb011e0>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cb01270>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cb01300>,\n",
+       " <unstructured.documents.elements.ListItem at 0x1993cb01390>,\n",
+       " <unstructured.documents.elements.ListItem at 0x1993cb01420>,\n",
+       " <unstructured.documents.elements.ListItem at 0x1993cb014b0>,\n",
+       " <unstructured.documents.elements.ListItem at 0x1993cb01540>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cb015d0>,\n",
+       " <unstructured.documents.elements.Text at 0x1993cb01660>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cb016f0>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cb01780>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cb01810>,\n",
+       " <unstructured.documents.elements.Text at 0x1993cb018a0>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cb01930>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cb019c0>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cb01a50>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cb01ae0>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cb01b70>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cb01c00>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cb01c90>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cb01d20>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cb01db0>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cb01e40>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cb01ed0>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cb01f60>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cb01ff0>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cb02080>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cb02110>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cb021a0>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cb02230>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cb022c0>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cb02350>,\n",
+       " <unstructured.documents.elements.Title at 0x1993cb023e0>,\n",
+       " <unstructured.documents.elements.NarrativeText at 0x1993cb02470>]"
+      ]
+     },
+     "execution_count": 53,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "elements"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "id": "fb0b29a5-2d8c-4855-ac07-fe29ffb4dfe8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "chunks = chunk_by_title(\n",
+    "    elements,\n",
+    "    # 当元素文本长度小于100个字符就被合并到前一个块\n",
+    "    combine_text_under_n_chars=100,\n",
+    "    # 每个块最多3000字符数\n",
+    "    max_characters=3000,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "id": "39a56fc9-8960-4659-a205-798dd74ff01c",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{\n",
+      "  \"type\": \"CompositeElement\",\n",
+      "  \"element_id\": \"064cf072a51da0b00f32510011bfa7dc\",\n",
+      "  \"text\": \"The Project Gutenberg eBook of Winter Sports in\\nSwitzerland, by E. F. Benson\\n\\n\\nThis ebook is for the use of anyone anywhere in the United States and\\nmost other parts of the world at no cost and with almost no restrictions\\nwhatsoever. You may copy it, give it away or re-use it under the terms\\nof the Project Gutenberg License included with this ebook or online at\\n\\n\\nwww.gutenberg.org. If you are not located\\nin the United States, you\\u2019ll have to check the laws of the country where\\nyou are located before using this eBook.\",\n",
+      "  \"metadata\": {\n",
+      "    \"filename\": \"winter-sports.epub\",\n",
+      "    \"filetype\": \"application/epub\",\n",
+      "    \"languages\": [\n",
+      "      \"eng\"\n",
+      "    ]\n",
+      "  }\n",
+      "}\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(json.dumps(chunks[0].to_dict(), indent=2))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "id": "0513d3ce-31e1-43c4-a298-7fed41735bc7",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "752"
+      ]
+     },
+     "execution_count": 56,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# 一共 752 个元素\n",
+    "len(elements)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "id": "91a6a2f5-e260-4647-a8dc-67b258872b8e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "255"
+      ]
+     },
+     "execution_count": 57,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# 被分为 255 个块\n",
+    "len(chunks)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d0ca28f7",
+   "metadata": {},
+   "source": [
+    "## 六、中文示例"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "7ccae70c",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[\n",
+      "  {\n",
+      "    \"type\": \"Image\",\n",
+      "    \"element_id\": \"20abead6c5e43c6eac03a4e3d819e50b\",\n",
+      "    \"text\": \"i =i i I 4 i\",\n",
+      "    \"metadata\": {\n",
+      "      \"filetype\": \"application/pdf\",\n",
+      "      \"languages\": [\n",
+      "        \"eng\"\n",
+      "      ],\n",
+      "      \"page_number\": 1,\n",
+      "      \"filename\": \"1.pdf\"\n",
+      "    }\n",
+      "  },\n",
+      "  {\n",
+      "    \"type\": \"Title\",\n",
+      "    \"element_id\": \"054d94d918ac349a4e8c34db36f1e027\",\n",
+      "    \"text\": \"\\u63a7\\u5236\\u4e0e\\u51b3\\u7b56\",\n",
+      "    \"metadata\": {\n",
+      "      \"filetype\": \"application/pdf\",\n",
+      "      \"languages\": [\n",
+      "        \"eng\"\n",
+      "      ],\n",
+      "      \"page_number\": 1,\n",
+      "      \"filename\": \"1.pdf\"\n",
+      "    }\n",
+      "  },\n",
+      "  {\n",
+      "    \"type\": \"NarrativeText\",\n",
+      "    \"element_id\": \"79b3f88c3385098d0ca951841d5446c0\",\n",
+      "    \"text\": \"Control and Decision ISSN 1001-0920,CN 21-1124/TP\",\n",
+      "    \"metadata\": {\n",
+      "      \"filetype\": \"application/pdf\",\n",
+      "      \"languages\": [\n",
+      "        \"eng\"\n",
+      "      ],\n",
+      "      \"page_number\": 1,\n",
+      "      \"parent_id\": \"054d94d918ac349a4e8c34db36f1e027\",\n",
+      "      \"filename\": \"1.pdf\"\n",
+      "    }\n",
+      "  }\n",
+      "]\n"
+     ]
+    }
+   ],
+   "source": [
+    "filename_chinese = \"example_files/1.pdf\"\n",
+    "\n",
+    "with open(filename_chinese, \"rb\") as f:\n",
+    "    # shared.Files 可能是用于封装文件内容和文件名\n",
+    "    files_chinese=shared.Files(\n",
+    "        # 以二进制格式读取\n",
+    "        content=f.read(),\n",
+    "        file_name=filename,\n",
+    "    )\n",
+    "\n",
+    "# shared.PartitionParameters 可能是用于定义文件分区处理的参数\n",
+    "req_chinese = shared.PartitionParameters(files=files_chinese)\n",
+    "\n",
+    "# 开始拆分\n",
+    "try:\n",
+    "    resp_chinese = s.general.partition(req_chinese)\n",
+    "# 处理异常\n",
+    "except SDKError as e:\n",
+    "    print(e)\n",
+    "    \n",
+    "# 查看部分转换结果\n",
+    "print(json.dumps(resp_chinese.elements[0:3], indent=2))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "0f9dff75",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['控制与决策', '《控制与决策》网络首发论文', '控 制 与 决 策 Decision and Control', '事件触发式多智能体分层安全强化学习运动规划', 'Multi-agent event triggered hierarchical security reinforcement learning', '0 引 言', '1 多智能体安全强化学习', 't=0 其中: ct 为单步即时代价, τ 为根据策略得到的状态 动作轨迹.', '2 触发式分层安全强化学习规划方法', '3 实验仿真和验证 3.1 实验初始化设置', '量; γ 为折扣因子, 表示对未来奖励和未来代价的关 注; τ1、τ2 和τ3 为目标网络的软更新因子. 3.2 安全强化学习训练场景', '图 4 训练环境中不同方法的奖励值情况', '4 结 论', '参考文献(References)', '作者简介']\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 获取标题，看来结果还需进一步清洗\n",
+    "titles = [i['text'] for i in resp.elements if i['type'] == 'Title']\n",
+    "print(titles)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "f8c4b771",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 将以下两小节元素全部取出\n",
+    "chapters_chinese =[\n",
+    "    '0 引 言',\n",
+    "    '1 多智能体安全强化学习'\n",
+    "]\n",
+    "\n",
+    "chapter_ids_chinese = {}\n",
+    "for element in resp_chinese.elements:\n",
+    "    for chapter in chapters_chinese:\n",
+    "        if element[\"text\"] == chapter and element[\"type\"] == \"Title\":\n",
+    "            chapter_ids_chinese[element[\"element_id\"]] = chapter\n",
+    "            break"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "2824fd96",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'c701d5e2e7e879df9f945732e64049de': '0 引 言',\n",
+       " '1601ecc85c1c002cb9e6617d6d2b13fd': '1 多智能体安全强化学习'}"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "chapter_ids_chinese"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "d6473259",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'0 引 言': 'c701d5e2e7e879df9f945732e64049de',\n",
+       " '1 多智能体安全强化学习': '1601ecc85c1c002cb9e6617d6d2b13fd'}"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# 将键值对互换\n",
+    "chapter_to_id_chinese = {v: k for k, v in chapter_ids_chinese.items()}\n",
+    "chapter_to_id_chinese"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "99a5eb41",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[{'type': 'NarrativeText',\n",
+       "  'element_id': '79f2487a4260719e9522a80364137c26',\n",
+       "  'text': '程中寻找最优策略. 受限马尔可夫决策过程可使用 六元组 (S, A, P, R, C, N ) 来描述. 其中: N 为机器人 总数, S 为状态空间集合, A 为一系列的动作组成的 动作空间集合, P 为状态转移概率, R 为交互即时奖 励, C 为即时代价. 安全强化学习问题为在满足安全 约束的情况下, 求解最大化期望目标的最优策略 π∗, 即',\n",
+       "  'metadata': {'filetype': 'application/pdf',\n",
+       "   'languages': ['eng'],\n",
+       "   'page_number': 3,\n",
+       "   'parent_id': '1601ecc85c1c002cb9e6617d6d2b13fd',\n",
+       "   'filename': '1.pdf'}},\n",
+       " {'type': 'NarrativeText',\n",
+       "  'element_id': '3d35b4d7067a3885ecc245a0f9889410',\n",
+       "  'text': 'π∗ = arg max π∈ΩC 其中: ΩC 为满足安全约束的安全策略集, J(π) 为目 标函数.',\n",
+       "  'metadata': {'filetype': 'application/pdf',\n",
+       "   'languages': ['eng'],\n",
+       "   'page_number': 3,\n",
+       "   'parent_id': '1601ecc85c1c002cb9e6617d6d2b13fd',\n",
+       "   'filename': '1.pdf'}},\n",
+       " {'type': 'NarrativeText',\n",
+       "  'element_id': 'fc45b910d5bc04986a1e25d5d1a98793',\n",
+       "  'text': '为了约束智能体的动作,并考虑非安全因素带来 的影响, 在学习动作价值函数的同时, 需要另外一个 评价函数来评估当前策略的安全性,即非负安全约束 函数 c(s, a). 安全约束函数用于评估状态动作对的安 全程度, 即基于当前策略 π 和状态 s 选择动作 a 后获 得的代价值.',\n",
+       "  'metadata': {'filetype': 'application/pdf',\n",
+       "   'languages': ['eng'],\n",
+       "   'page_number': 3,\n",
+       "   'parent_id': '1601ecc85c1c002cb9e6617d6d2b13fd',\n",
+       "   'filename': '1.pdf'}},\n",
+       " {'type': 'NarrativeText',\n",
+       "  'element_id': 'f51c6e6866ab5d0bcb5fdca1b163adac',\n",
+       "  'text': '安全约束下的马尔科夫决策过程主要关注长期 累计期望下的安全代价值. 对于给定的策略 π, 轨迹 τ 的累计折扣安全代价为',\n",
+       "  'metadata': {'filetype': 'application/pdf',\n",
+       "   'languages': ['eng'],\n",
+       "   'page_number': 3,\n",
+       "   'parent_id': '1601ecc85c1c002cb9e6617d6d2b13fd',\n",
+       "   'filename': '1.pdf'}},\n",
+       " {'type': 'UncategorizedText',\n",
+       "  'element_id': 'b218622e44e7f4f25da2138115d6e3f3',\n",
+       "  'text': '∞∑',\n",
+       "  'metadata': {'filetype': 'application/pdf',\n",
+       "   'languages': ['eng'],\n",
+       "   'page_number': 3,\n",
+       "   'parent_id': '1601ecc85c1c002cb9e6617d6d2b13fd',\n",
+       "   'filename': '1.pdf'}}]"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# 将\"1 多智能体安全强化学习\"这一章节的元素全部取出，然后查看前几个。\n",
+    "# 可以看到效果好的元素基本上把某一段都截取下来了，效果不好的可能完全没识别\n",
+    "[x for x in resp_chinese.elements if x[\"metadata\"].get(\"parent_id\") == chapter_to_id_chinese[\"1 多智能体安全强化学习\"]][:5]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "f6a63bb4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 接下来载入向量数据库\n",
+    "# chromadb.PersistentClient() 用于创建一个用于持久性客户端的类\n",
+    "# path 指定了客户端数据存储的路径，即数据库文件的位置\n",
+    "# settings 用于配置客户端行为，例如是否允许重置\n",
+    "client = chromadb.PersistentClient(path=\"chroma_tmp\", settings=chromadb.Settings(allow_reset=True))\n",
+    "# 重置客户端\n",
+    "client.reset()\n",
+    "\n",
+    "# 创建一个新集合，名称为 Multi_agent_event_learning，相似度方法使用 cosine 创建一个数据空间\n",
+    "collection = client.create_collection(\n",
+    "    name=\"Multi_agent_event_learning\",\n",
+    "    metadata={\"hnsw:space\": \"cosine\"}\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "8086bb5b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for element in resp_chinese.elements:\n",
+    "    parent_id = element[\"metadata\"].get(\"parent_id\")\n",
+    "    # 从元素的元数据中获取父级 ID，如果不存在则设为空字符串\n",
+    "    chapter = chapter_ids_chinese.get(parent_id, \"\")\n",
+    "    # 添加元素信息：文本内容，元素 ID 以及对应章节\n",
+    "    collection.add(\n",
+    "        documents=[element[\"text\"]],\n",
+    "        ids=[element[\"element_id\"]],\n",
+    "        metadatas=[{\"chapter\": chapter}]\n",
+    "    )"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "3de7ce76",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['作者简介', '(1. School of Technology，Beijing Forestry University，Beijing 100083，China；2. School of Mechanical and Electrical Engineering，Huainan Normal University，Huainan 232038，China；3. State Key Laboratory of Efficient Production of Forest Resources，Beijing 100083，China)', '控制与决策', 'Lc(s, a) = c(s, a) + γcEa′∼u(|s′)[L′ 其中: c(s, a) 为即时非负安全约束函数, L′ 目标李雅普诺夫评价函数.', '复网络基于李雅普诺夫安全约束条件,保证状态轨迹 可在有限时间内从危险状态中恢复至安全空间. 最 后, 在安全强化学习仿真环境中, 对所提出方法进行 实验. 实验结果表明: 所提出 MEHSRL 方法在满足动 作约束的情况下输出安全的动作策略,且能够提升多 机器人的协同作业能力和任务成功率.', '控 制 与 决 策', '100 96.80 95 92.60 90 86.50 L5 N % 85 80 SAC CPO MEHSRL AL 2] J7 i', '关键词: 强化学习；安全约束；运动规划；多智能体；事件触发', '图 7 多机器人的编队距离变化', '在 Actor-Critic 架构的强化学习方法中, 求解价']\n"
+     ]
+    }
+   ],
+   "source": [
+    "results = collection.peek()\n",
+    "print(results[\"documents\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "id": "ae3cfedc",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "安全约束下的马尔科夫决策过程主要关注长期 累计期望下的安全代价值. 对于给定的策略 π, 轨迹 τ 的累计折扣安全代价为\n",
+      "程中寻找最优策略. 受限马尔可夫决策过程可使用 六元组 (S, A, P, R, C, N ) 来描述. 其中: N 为机器人 总数, S 为状态空间集合, A 为一系列的动作组成的 动作空间集合, P 为状态转移概率, R 为交互即时奖 励, C 为即时代价. 安全强化学习问题为在满足安全 约束的情况下, 求解最大化期望目标的最优策略 π∗, 即\n",
+      "为了约束智能体的动作,并考虑非安全因素带来 的影响, 在学习动作价值函数的同时, 需要另外一个 评价函数来评估当前策略的安全性,即非负安全约束 函数 c(s, a). 安全约束函数用于评估状态动作对的安 全程度, 即基于当前策略 π 和状态 s 选择动作 a 后获 得的代价值.\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 如果返去看论文可以发现结果差强人意，而且结果基本上是以行为最小单位。\n",
+    "result = collection.query(\n",
+    "    query_texts=[\"这篇文章对强化学习有哪些看法？包括传统的以及这篇文章认为'不传统的'\"],\n",
+    "    # 返回两个结果\n",
+    "    n_results=3,\n",
+    "    where={\"chapter\": \"1 多智能体安全强化学习\"},\n",
+    ")\n",
+    "print(result['documents'][0][0])\n",
+    "print(result['documents'][0][1])\n",
+    "print(result['documents'][0][2])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9638083a",
+   "metadata": {},
+   "source": [
+    "内容分块在此略过，可以多花时间想想怎么让结果更好更流畅。"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c6b54950",
+   "metadata": {},
+   "source": [
+    "## 七、总结\n",
+    "***\n",
+    "\n",
+    "我们这门课程详细介绍了如何利用**元数据**来丰富我们提取的内容，并将其结合**语义搜索**和**混合搜索**，以优化我们的 RAG 系统的结果。通过将**语义搜索**和**混合搜索**相结合，我们能够更有效地检索文档，并为 LLM 提供更相关的提示内容。除此之外，我们还强调了**内容分块**的重要性，以应对 LLM 的上下文窗口限制，并控制推理成本。通过深入学习和实践，我们能够掌握如何在实际应用中利用这些技术来优化我们的 RAG 系统。"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git "a/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/5. PDF \346\226\207\344\273\266\345\222\214\345\233\276\345\203\217\347\232\204\345\244\204\347\220\206 Preprocessing PDFs and Images.ipynb" "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/5. PDF \346\226\207\344\273\266\345\222\214\345\233\276\345\203\217\347\232\204\345\244\204\347\220\206 Preprocessing PDFs and Images.ipynb"
new file mode 100644
index 00000000..256d90de
--- /dev/null
+++ "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/5. PDF \346\226\207\344\273\266\345\222\214\345\233\276\345\203\217\347\232\204\345\244\204\347\220\206 Preprocessing PDFs and Images.ipynb"	
@@ -0,0 +1,827 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# 第五章 PDF 文件和图像处理"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "- [一、引言 ](#一、引言 )\n",
+    "- [二、文件和图像分析技术](#二、文件和图像分析技术)\n",
+    "  - [2.1文档布局检测](#2.1文档布局检测)\n",
+    "  - [2.2视觉_Transformers](#2.2视觉_Transformers)\n",
+    "  - [2.3优劣分析](#2.3优劣分析)\n",
+    "- [三、中文案例演示](#三、中文案例演示)\n",
+    "- [四、本章小结](#四、本章小结)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "##### "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 一、引言\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "像 PDF 和图像这一类文件，需要进行预处理才能和大模型交互。本章会涉及一些预处理的方法，包括“文档布局检测 （Document Layout Detection） ”和”视觉 Transformers（Vision Transformers）”,并学习如何使用这些工具完成预处理。对于非结构化的文件，如 PDF 和图像，**我们需要使用它们的视觉信息来完成解析,从中提取格式化的信息和文本。**"
+   ]
+  },
+  {
+   "attachments": {
+    "image-2.png": {
+     "image/png": 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"
+    },
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"
+    },
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"
+    },
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"
+    }
+   },
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 二、文件和图像的分析技术\n",
+    "### 2.1 **文档布局检测 （Document Layout Detection）**\n",
+    "\n",
+    "文档布局检测使用目标检测模型在文档中绘制并标注边框，并从标注好的边框内提取文本信息。\n",
+    "**这个过程需要两步完成，第一步识别和分类文章中元素的边界框，第二步在这些边界框内提取文本。**\n",
+    "- **对于第一步**，首先会对文档的元素绘制边界框，例如叙述性文字、题目或项目符号。接着，需要提取边界框中的文本。**这里有两种情况**：\n",
+    "      1.文档本身不支持直接提取时，需要借助类似于“目标字符识别”或“ OCR ”等工具完成提取。\n",
+    "      2.文档支持直接提取时，使用边界框信息将边界框追溯回原始文档，并提取落在边界框内的文本内容即可。\n",
+    "    ![5-1.png](attachment:image.png)（YOLO X model 是常被用作进行文档布局检测任务的模型，如果对它的结构感兴趣，可以查看原论文 https://arxiv.org/pdf/2107.08430.pdf。）\n",
+    "    ![5-2.png](attachment:image-3.png)（这是提取过程的示例）\n",
+    "- **对于第二步**，只需要识别到边界框就可以直接提取内容了。\n",
+    "\n",
+    "### 2.2 **视觉 Transformers（Vision Transformers）**\n",
+    "视觉 Transformers（ViT） 完成这个任务只需要一步,并且不再需要 OCR 等工具。常见的结构就是 DONUT（Document Understanding Transformer）,可以通过编码器和解码器直接将输入的图像处理为输出的文本，并且可以训练这些模型来输出特定格式的文本，如 JSON 格式。\n",
+    "![5-3.png](attachment:image-2.png)（这是 DONUT 模型的结构示意图，如果对此感兴趣的话，可以进一步查看原论文 https://arxiv.org/pdf/2111.15664.pdf\n",
+    "![5-4.png](attachment:image-4.png) (这是提取过程的示例)\n",
+    "\n",
+    "### 2.3 **优劣分析**\n",
+    "- 文档布局检测的优点是**可以提取到固定元素类型的合集并获得边界框的信息，方便回溯原文**，但是却需要两个模块（目标检测和 OCR），缺乏灵活性。\n",
+    "- 视觉 Transformers 更加灵活，**可以自定义需要提取的内容，并且适用于更多类型的无结构文档**。缺点在于，该方法需要使用到生成模型，容易引发幻觉或重复，并且需要较高的算力成本。\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 三、中文案例演示"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 忽略一些可能出现的警告\n",
+    "import warnings\n",
+    "warnings.filterwarnings('ignore')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 导入需要的库，如果有没有安装完成的库，可以依据根目录下的requirements.txt文件进行安装和版本控制\n",
+    "from unstructured_client import UnstructuredClient\n",
+    "from unstructured_client.models import shared\n",
+    "from unstructured_client.models.errors import SDKError\n",
+    "from unstructured.partition.html import partition_html\n",
+    "from unstructured.partition.pdf import partition_pdf\n",
+    "from unstructured.staging.base import dict_to_elements"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       "\n",
+       "/* Override VSCode background color */\n",
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+       "</div>\n",
+       "<script type=\"application/javascript\">(function(root) {\n",
+       "  var docs_json = {\"683bbba8-0a81-478b-a425-47567ae00d30\":{\"version\":\"3.4.1\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"panel.models.browser.BrowserInfo\",\"id\":\"90c5fc5a-4107-4767-b5aa-b75909eaeb73\"},{\"type\":\"object\",\"name\":\"panel.models.comm_manager.CommManager\",\"id\":\"b2d59b8f-7e23-4d29-94a7-612817f76b75\",\"attributes\":{\"plot_id\":\"90c5fc5a-4107-4767-b5aa-b75909eaeb73\",\"comm_id\":\"58450c9d1f4940f9b2623c32b387d2c1\",\"client_comm_id\":\"073ae3d3ccdd4690b276b616b73c7a90\"}}],\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"gap\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"mode\",\"kind\":\"Any\",\"default\":\"warn\"},{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationAreaBase1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]}]}};\n",
+       "  var render_items = [{\"docid\":\"683bbba8-0a81-478b-a425-47567ae00d30\",\"roots\":{\"90c5fc5a-4107-4767-b5aa-b75909eaeb73\":\"e5b31327-2225-4a6a-b514-e22c3371f7c8\"},\"root_ids\":[\"90c5fc5a-4107-4767-b5aa-b75909eaeb73\"]}];\n",
+       "  var docs = Object.values(docs_json)\n",
+       "  if (!docs) {\n",
+       "    return\n",
+       "  }\n",
+       "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
+       "  async function embed_document(root) {\n",
+       "    var Bokeh = get_bokeh(root)\n",
+       "    await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+       "    for (const render_item of render_items) {\n",
+       "      for (const root_id of render_item.root_ids) {\n",
+       "\tconst id_el = document.getElementById(root_id)\n",
+       "\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n",
+       "\t  const root_el = id_el.children[0]\n",
+       "\t  root_el.id = root_el.id + '-rendered'\n",
+       "\t  for (const child of root_el.children) {\n",
+       "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
+       "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
+       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
+       "\t  }\n",
+       "\t}\n",
+       "      }\n",
+       "    }\n",
+       "  }\n",
+       "  function get_bokeh(root) {\n",
+       "    if (root.Bokeh === undefined) {\n",
+       "      return null\n",
+       "    } else if (root.Bokeh.version !== py_version) {\n",
+       "      if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {\n",
+       "\treturn null\n",
+       "      }\n",
+       "      return root.Bokeh.versions.get(py_version);\n",
+       "    } else if (root.Bokeh.version === py_version) {\n",
+       "      return root.Bokeh\n",
+       "    }\n",
+       "    return null\n",
+       "  }\n",
+       "  function is_loaded(root) {\n",
+       "    var Bokeh = get_bokeh(root)\n",
+       "    return (Bokeh != null && Bokeh.Panel !== undefined)\n",
+       "  }\n",
+       "  if (is_loaded(root)) {\n",
+       "    embed_document(root);\n",
+       "  } else {\n",
+       "    var attempts = 0;\n",
+       "    var timer = setInterval(function(root) {\n",
+       "      if (is_loaded(root)) {\n",
+       "        clearInterval(timer);\n",
+       "        embed_document(root);\n",
+       "      } else if (document.readyState == \"complete\") {\n",
+       "        attempts++;\n",
+       "        if (attempts > 200) {\n",
+       "          clearInterval(timer);\n",
+       "\t  var Bokeh = get_bokeh(root)\n",
+       "\t  if (Bokeh == null || Bokeh.Panel == null) {\n",
+       "            console.warn(\"Panel: ERROR: Unable to run Panel code because Bokeh or Panel library is missing\");\n",
+       "\t  } else {\n",
+       "\t    console.warn(\"Panel: WARNING: Attempting to render but not all required libraries could be resolved.\")\n",
+       "\t    embed_document(root)\n",
+       "\t  }\n",
+       "        }\n",
+       "      }\n",
+       "    }, 25, root)\n",
+       "  }\n",
+       "})(window);</script>"
+      ]
+     },
+     "metadata": {
+      "application/vnd.holoviews_exec.v0+json": {
+       "id": "90c5fc5a-4107-4767-b5aa-b75909eaeb73"
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "None\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Utils模块可以在根目录找到\n",
+    "from Utils_Ch5 import Utils\n",
+    "\n",
+    "utils = Utils()\n",
+    "\n",
+    "DLAI_API_KEY = utils.get_dlai_api_key()\n",
+    "DLAI_API_URL = utils.get_dlai_url()\n",
+    "\n",
+    "# 提供注册好的API_key和Server_url\n",
+    "s = UnstructuredClient(api_key_auth=\"your_api_key\", server_url='your_server_url')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<IPython.core.display.Image object>"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {
+      "image/png": {
+       "height": 600,
+       "width": 600
+      }
+     },
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from IPython.display import Image\n",
+    "Image(filename=\"示例文件/2023十大流行词.png\", height=600, width=600) "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "我们使用不同的形式（html 和 pdf）表达同样的内容，来测试上述工具的效果"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO: Reading document from string ...\n",
+      "INFO: Reading document ...\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 将内容以html的形式导入\n",
+    "filename = \"示例文件/2023十大流行词.html\"\n",
+    "html_elements = partition_html(filename=filename)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "TITLE: 网站无障碍\n",
+      "TITLE: PC版本\n",
+      "TITLE: 首页\n",
+      "TITLE: 学习进行时\n",
+      "TITLE: 高层\n",
+      "TITLE: 时政\n",
+      "TITLE: 人事\n",
+      "TITLE: 国际\n",
+      "TITLE: 财经\n",
+      "TITLE: 网评\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 打印提取到的元素\n",
+    "for element in html_elements[:10]:\n",
+    "    print(f\"{element.category.upper()}: {element.text}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO: PDF text extraction failed, skip text extraction...\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 将内容以pdf的形式导入\n",
+    "filename = \"示例文件/2023十大流行词.pdf\"\n",
+    "pdf_elements = partition_pdf(filename=filename,strategy=\"fast\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 打印提取到的元素\n",
+    "for element in pdf_elements[:10]:\n",
+    "    print(f\"{element.category.upper()}: {element.text}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO: Partitioning without split.\n",
+      "INFO: Successfully partitioned the document.\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 使用yolox model来提取文本\n",
+    "with open(filename, \"rb\") as f:\n",
+    "    files=shared.Files(\n",
+    "        content=f.read(),\n",
+    "        file_name=filename,\n",
+    "    )\n",
+    "# 创建一个 PartitionParameters 对象，并赋值给变量 req\n",
+    "req = shared.PartitionParameters(\n",
+    "    files=files,\n",
+    "    strategy=\"hi_res\", # 设置分区策略为 \"hi_res\"，表示高分辨率处理模式\n",
+    "    hi_res_model_name=\"yolox\",\n",
+    ")\n",
+    "\n",
+    "try:\n",
+    "    resp = s.general.partition(req)\n",
+    "    dld_elements = dict_to_elements(resp.elements)\n",
+    "except SDKError as e: # 捕获到 SDKError 异常\n",
+    "    print(e)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "HEADER: 2024/6/17 16:07\n",
+      "IMAGE: www.news.cn e f wvaw.xinhuanet.com\n",
+      "UNCATEGORIZEDTEXT: 新华⽹ > > 正⽂\n",
+      "NARRATIVETEXT: 2023\n",
+      "UNCATEGORIZEDTEXT: 12/06 09:47:56\n",
+      "NARRATIVETEXT: 来源：⼈⺠⽇报\n",
+      "HEADER: 新华通讯社主办 公司官⽹ 股票代码：603888\n",
+      "HEADER: 2023年这些词语很流⾏- 新华⽹内蒙古频道\n",
+      "HEADER: 新华报刊 地⽅频道 承建⽹站 中⽂/繁体 ⽹站⽆障碍 客户端\n",
+      "TITLE: ENGLISH\n"
+     ]
+    }
+   ],
+   "source": [
+    "for element in dld_elements[:10]:\n",
+    "    print(f\"{element.category.upper()}: {element.text}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 接下来比较一下提取效果\n",
+    "import collections"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "253"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# 统计从网页中提取到的内容长度\n",
+    "len(html_elements)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[('Title', 162),\n",
+       " ('ListItem', 83),\n",
+       " ('UncategorizedText', 7),\n",
+       " ('NarrativeText', 1)]"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# 统计从网页中提取到的内容标签\n",
+    "html_categories = [el.category for el in html_elements]\n",
+    "collections.Counter(html_categories).most_common()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "38"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# 统计从文件中提取到的内容长度\n",
+    "len(dld_elements)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[('NarrativeText', 25),\n",
+       " ('Header', 8),\n",
+       " ('UncategorizedText', 2),\n",
+       " ('Title', 2),\n",
+       " ('Image', 1)]"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# 统计从文件中提取到的内容标签\n",
+    "dld_categories = [el.category for el in dld_elements]\n",
+    "collections.Counter(dld_categories).most_common()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/javascript": "(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n  var py_version = '3.4.1'.replace('rc', '-rc.').replace('.dev', '-dev.');\n  var reloading = false;\n  var Bokeh = root.Bokeh;\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks;\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n    if (js_modules == null) js_modules = [];\n    if (js_exports == null) js_exports = {};\n\n    root._bokeh_onload_callbacks.push(callback);\n\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n      run_callbacks();\n      return null;\n    }\n    if (!reloading) {\n      console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    }\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n    window._bokeh_on_load = on_load\n\n    function on_error() {\n      console.error(\"failed to load \" + url);\n    }\n\n    var skip = [];\n    if (window.requirejs) {\n      window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n      root._bokeh_is_loading = css_urls.length + 0;\n    } else {\n      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n    }\n\n    var existing_stylesheets = []\n    var links = document.getElementsByTagName('link')\n    for (var i = 0; i < links.length; i++) {\n      var link = links[i]\n      if (link.href != null) {\n\texisting_stylesheets.push(link.href)\n      }\n    }\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      if (existing_stylesheets.indexOf(url) !== -1) {\n\ton_load()\n\tcontinue;\n      }\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }    var existing_scripts = []\n    var scripts = document.getElementsByTagName('script')\n    for (var i = 0; i < scripts.length; i++) {\n      var script = scripts[i]\n      if (script.src != null) {\n\texisting_scripts.push(script.src)\n      }\n    }\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (var i = 0; i < js_modules.length; i++) {\n      var url = js_modules[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (const name in js_exports) {\n      var url = js_exports[name];\n      if (skip.indexOf(url) >= 0 || root[name] != null) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onerror = on_error;\n      element.async = false;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      element.textContent = `\n      import ${name} from \"${url}\"\n      window.${name} = ${name}\n      window._bokeh_on_load()\n      `\n      document.head.appendChild(element);\n    }\n    if (!js_urls.length && !js_modules.length) {\n      on_load()\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.1.min.js\", \"https://cdn.holoviz.org/panel/1.4.4/dist/panel.min.js\"];\n  var js_modules = [];\n  var js_exports = {};\n  var css_urls = [];\n  var inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n  ];\n\n  function run_inline_js() {\n    if ((root.Bokeh !== undefined) || (force === true)) {\n      for (var i = 0; i < inline_js.length; i++) {\n\ttry {\n          inline_js[i].call(root, root.Bokeh);\n\t} catch(e) {\n\t  if (!reloading) {\n\t    throw e;\n\t  }\n\t}\n      }\n      // Cache old bokeh versions\n      if (Bokeh != undefined && !reloading) {\n\tvar NewBokeh = root.Bokeh;\n\tif (Bokeh.versions === undefined) {\n\t  Bokeh.versions = new Map();\n\t}\n\tif (NewBokeh.version !== Bokeh.version) {\n\t  Bokeh.versions.set(NewBokeh.version, NewBokeh)\n\t}\n\troot.Bokeh = Bokeh;\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    }\n    root._bokeh_is_initializing = false\n  }\n\n  function load_or_wait() {\n    // Implement a backoff loop that tries to ensure we do not load multiple\n    // versions of Bokeh and its dependencies at the same time.\n    // In recent versions we use the root._bokeh_is_initializing flag\n    // to determine whether there is an ongoing attempt to initialize\n    // bokeh, however for backward compatibility we also try to ensure\n    // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n    // before older versions are fully initialized.\n    if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n      root._bokeh_is_initializing = false;\n      root._bokeh_onload_callbacks = undefined;\n      console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n      load_or_wait();\n    } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n      setTimeout(load_or_wait, 100);\n    } else {\n      root._bokeh_is_initializing = true\n      root._bokeh_onload_callbacks = []\n      var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n      if (!reloading && !bokeh_loaded) {\n\troot.Bokeh = undefined;\n      }\n      load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n\trun_inline_js();\n      });\n    }\n  }\n  // Give older versions of the autoload script a head-start to ensure\n  // they initialize before we start loading newer version.\n  setTimeout(load_or_wait, 100)\n}(window));",
+      "application/vnd.holoviews_load.v0+json": ""
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/javascript": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n  window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n    function JupyterCommManager() {\n    }\n\n    JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n      if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        comm_manager.register_target(comm_id, function(comm) {\n          comm.on_msg(msg_handler);\n        });\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n          comm.onMsg = msg_handler;\n        });\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n          var messages = comm.messages[Symbol.asyncIterator]();\n          function processIteratorResult(result) {\n            var message = result.value;\n            console.log(message)\n            var content = {data: message.data, comm_id};\n            var buffers = []\n            for (var buffer of message.buffers || []) {\n              buffers.push(new DataView(buffer))\n            }\n            var metadata = message.metadata || {};\n            var msg = {content, buffers, metadata}\n            msg_handler(msg);\n            return messages.next().then(processIteratorResult);\n          }\n          return messages.next().then(processIteratorResult);\n        })\n      }\n    }\n\n    JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n      if (comm_id in window.PyViz.comms) {\n        return window.PyViz.comms[comm_id];\n      } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n        if (msg_handler) {\n          comm.on_msg(msg_handler);\n        }\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n        comm.open();\n        if (msg_handler) {\n          comm.onMsg = msg_handler;\n        }\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        var comm_promise = google.colab.kernel.comms.open(comm_id)\n        comm_promise.then((comm) => {\n          window.PyViz.comms[comm_id] = comm;\n          if (msg_handler) {\n            var messages = comm.messages[Symbol.asyncIterator]();\n            function processIteratorResult(result) {\n              var message = result.value;\n              var content = {data: message.data};\n              var metadata = message.metadata || {comm_id};\n              var msg = {content, metadata}\n              msg_handler(msg);\n              return messages.next().then(processIteratorResult);\n            }\n            return messages.next().then(processIteratorResult);\n          }\n        }) \n        var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n          return comm_promise.then((comm) => {\n            comm.send(data, metadata, buffers, disposeOnDone);\n          });\n        };\n        var comm = {\n          send: sendClosure\n        };\n      }\n      window.PyViz.comms[comm_id] = comm;\n      return comm;\n    }\n    window.PyViz.comm_manager = new JupyterCommManager();\n    \n\n\nvar JS_MIME_TYPE = 'application/javascript';\nvar HTML_MIME_TYPE = 'text/html';\nvar EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\nvar CLASS_NAME = 'output';\n\n/**\n * Render data to the DOM node\n */\nfunction render(props, node) {\n  var div = document.createElement(\"div\");\n  var script = document.createElement(\"script\");\n  node.appendChild(div);\n  node.appendChild(script);\n}\n\n/**\n * Handle when a new output is added\n */\nfunction handle_add_output(event, handle) {\n  var output_area = handle.output_area;\n  var output = handle.output;\n  if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n    return\n  }\n  var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n  var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n  if (id !== undefined) {\n    var nchildren = toinsert.length;\n    var html_node = toinsert[nchildren-1].children[0];\n    html_node.innerHTML = output.data[HTML_MIME_TYPE];\n    var scripts = [];\n    var nodelist = html_node.querySelectorAll(\"script\");\n    for (var i in nodelist) {\n      if (nodelist.hasOwnProperty(i)) {\n        scripts.push(nodelist[i])\n      }\n    }\n\n    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document.createElement(\"div\");\n    bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n    var script_attrs = bk_div.children[0].attributes;\n    for (var i = 0; i < script_attrs.length; i++) {\n      toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n    }\n    // store reference to server id on output_area\n    output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n  }\n}\n\n/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n  var id = handle.cell.output_area._hv_plot_id;\n  var server_id = handle.cell.output_area._bokeh_server_id;\n  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n  if (server_id !== null) {\n    comm.send({event_type: 'server_delete', 'id': server_id});\n    return;\n  } else if (comm !== null) {\n    comm.send({event_type: 'delete', 'id': id});\n  }\n  delete PyViz.plot_index[id];\n  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n    var doc = window.Bokeh.index[id].model.document\n    doc.clear();\n    const i = window.Bokeh.documents.indexOf(doc);\n    if (i > -1) {\n      window.Bokeh.documents.splice(i, 1);\n    }\n  }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n  delete PyViz.comms[\"hv-extension-comm\"];\n  window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n  handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n  function append_mime(data, metadata, element) {\n    // create a DOM node to render to\n    var toinsert = this.create_output_subarea(\n    metadata,\n    CLASS_NAME,\n    EXEC_MIME_TYPE\n    );\n    this.keyboard_manager.register_events(toinsert);\n    // Render to node\n    var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n    render(props, toinsert[0]);\n    element.append(toinsert);\n    return toinsert\n  }\n\n  events.on('output_added.OutputArea', handle_add_output);\n  events.on('output_updated.OutputArea', handle_update_output);\n  events.on('clear_output.CodeCell', handle_clear_output);\n  events.on('delete.Cell', handle_clear_output);\n  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n    safe: true,\n    index: 0\n  });\n}\n\nif (window.Jupyter !== undefined) {\n  try {\n    var events = require('base/js/events');\n    var OutputArea = require('notebook/js/outputarea').OutputArea;\n    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n      register_renderer(events, OutputArea);\n    }\n  } catch(err) {\n  }\n}\n",
+      "application/vnd.holoviews_load.v0+json": ""
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<style>*[data-root-id],\n",
+       "*[data-root-id] > * {\n",
+       "  box-sizing: border-box;\n",
+       "  font-family: var(--jp-ui-font-family);\n",
+       "  font-size: var(--jp-ui-font-size1);\n",
+       "  color: var(--vscode-editor-foreground, var(--jp-ui-font-color1));\n",
+       "}\n",
+       "\n",
+       "/* Override VSCode background color */\n",
+       ".cell-output-ipywidget-background:has(\n",
+       "    > .cell-output-ipywidget-background > .lm-Widget > *[data-root-id]\n",
+       "  ),\n",
+       ".cell-output-ipywidget-background:has(> .lm-Widget > *[data-root-id]) {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "</style>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.holoviews_exec.v0+json": "",
+      "text/html": [
+       "<div id='c1edda28-792c-470b-9fcc-7ad9c5f3ce02'>\n",
+       "  <div id=\"ef492d79-191d-4e92-96e8-ae81f29aefea\" data-root-id=\"c1edda28-792c-470b-9fcc-7ad9c5f3ce02\" style=\"display: contents;\"></div>\n",
+       "</div>\n",
+       "<script type=\"application/javascript\">(function(root) {\n",
+       "  var docs_json = {\"a19746f4-f98b-409f-a836-b8cbb2d3729f\":{\"version\":\"3.4.1\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"panel.models.browser.BrowserInfo\",\"id\":\"c1edda28-792c-470b-9fcc-7ad9c5f3ce02\"},{\"type\":\"object\",\"name\":\"panel.models.comm_manager.CommManager\",\"id\":\"e038241d-0bc5-4b51-b898-de4b6161743e\",\"attributes\":{\"plot_id\":\"c1edda28-792c-470b-9fcc-7ad9c5f3ce02\",\"comm_id\":\"c1e990a108374b2c904b78772a613ec2\",\"client_comm_id\":\"a6a7433a0753413097f8585f1fbabd65\"}}],\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"gap\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"mode\",\"kind\":\"Any\",\"default\":\"warn\"},{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationAreaBase1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]}]}};\n",
+       "  var render_items = [{\"docid\":\"a19746f4-f98b-409f-a836-b8cbb2d3729f\",\"roots\":{\"c1edda28-792c-470b-9fcc-7ad9c5f3ce02\":\"ef492d79-191d-4e92-96e8-ae81f29aefea\"},\"root_ids\":[\"c1edda28-792c-470b-9fcc-7ad9c5f3ce02\"]}];\n",
+       "  var docs = Object.values(docs_json)\n",
+       "  if (!docs) {\n",
+       "    return\n",
+       "  }\n",
+       "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
+       "  async function embed_document(root) {\n",
+       "    var Bokeh = get_bokeh(root)\n",
+       "    await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+       "    for (const render_item of render_items) {\n",
+       "      for (const root_id of render_item.root_ids) {\n",
+       "\tconst id_el = document.getElementById(root_id)\n",
+       "\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n",
+       "\t  const root_el = id_el.children[0]\n",
+       "\t  root_el.id = root_el.id + '-rendered'\n",
+       "\t  for (const child of root_el.children) {\n",
+       "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
+       "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
+       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
+       "\t  }\n",
+       "\t}\n",
+       "      }\n",
+       "    }\n",
+       "  }\n",
+       "  function get_bokeh(root) {\n",
+       "    if (root.Bokeh === undefined) {\n",
+       "      return null\n",
+       "    } else if (root.Bokeh.version !== py_version) {\n",
+       "      if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {\n",
+       "\treturn null\n",
+       "      }\n",
+       "      return root.Bokeh.versions.get(py_version);\n",
+       "    } else if (root.Bokeh.version === py_version) {\n",
+       "      return root.Bokeh\n",
+       "    }\n",
+       "    return null\n",
+       "  }\n",
+       "  function is_loaded(root) {\n",
+       "    var Bokeh = get_bokeh(root)\n",
+       "    return (Bokeh != null && Bokeh.Panel !== undefined)\n",
+       "  }\n",
+       "  if (is_loaded(root)) {\n",
+       "    embed_document(root);\n",
+       "  } else {\n",
+       "    var attempts = 0;\n",
+       "    var timer = setInterval(function(root) {\n",
+       "      if (is_loaded(root)) {\n",
+       "        clearInterval(timer);\n",
+       "        embed_document(root);\n",
+       "      } else if (document.readyState == \"complete\") {\n",
+       "        attempts++;\n",
+       "        if (attempts > 200) {\n",
+       "          clearInterval(timer);\n",
+       "\t  var Bokeh = get_bokeh(root)\n",
+       "\t  if (Bokeh == null || Bokeh.Panel == null) {\n",
+       "            console.warn(\"Panel: ERROR: Unable to run Panel code because Bokeh or Panel library is missing\");\n",
+       "\t  } else {\n",
+       "\t    console.warn(\"Panel: WARNING: Attempting to render but not all required libraries could be resolved.\")\n",
+       "\t    embed_document(root)\n",
+       "\t  }\n",
+       "        }\n",
+       "      }\n",
+       "    }, 25, root)\n",
+       "  }\n",
+       "})(window);</script>"
+      ]
+     },
+     "metadata": {
+      "application/vnd.holoviews_exec.v0+json": {
+       "id": "c1edda28-792c-470b-9fcc-7ad9c5f3ce02"
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {},
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.holoviews_exec.v0+json": "",
+      "text/html": [
+       "<div id='766802ea-95cc-416b-945b-2f22a03107a7'>\n",
+       "  <div id=\"f37f8f7b-cf63-45fe-911f-6b7c03798485\" data-root-id=\"766802ea-95cc-416b-945b-2f22a03107a7\" style=\"display: contents;\"></div>\n",
+       "</div>\n",
+       "<script type=\"application/javascript\">(function(root) {\n",
+       "  var docs_json = {\"90a64b46-49e4-48f8-b022-24ba7d6ba3e6\":{\"version\":\"3.4.1\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"Row\",\"id\":\"766802ea-95cc-416b-945b-2f22a03107a7\",\"attributes\":{\"name\":\"Row00121\",\"stylesheets\":[\"\\n:host(.pn-loading):before, .pn-loading:before {\\n  background-color: #c3c3c3;\\n  mask-size: auto calc(min(50%, 400px));\\n  -webkit-mask-size: auto calc(min(50%, 400px));\\n}\",{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"08c985c2-e383-4322-9bd8-0888c1b1c130\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.4/dist/css/loading.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"ce6ee87f-0a77-48ba-b0c1-3259f083f752\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.4/dist/css/listpanel.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"f63f5229-815a-441a-a25f-9c797d76cef9\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.4/dist/bundled/theme/default.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"29ee2b57-5182-45f6-9ddc-8ee550aecb00\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.4/dist/bundled/theme/native.css\"}}],\"margin\":0,\"align\":\"start\",\"children\":[{\"type\":\"object\",\"name\":\"FileInput\",\"id\":\"82ff68a0-65fb-4c7c-b8bf-b1b3dd2e47ec\",\"attributes\":{\"stylesheets\":[\"\\n:host(.pn-loading):before, 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fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]}]}};\n",
+       "  var render_items = [{\"docid\":\"90a64b46-49e4-48f8-b022-24ba7d6ba3e6\",\"roots\":{\"766802ea-95cc-416b-945b-2f22a03107a7\":\"f37f8f7b-cf63-45fe-911f-6b7c03798485\"},\"root_ids\":[\"766802ea-95cc-416b-945b-2f22a03107a7\"]}];\n",
+       "  var docs = Object.values(docs_json)\n",
+       "  if (!docs) {\n",
+       "    return\n",
+       "  }\n",
+       "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
+       "  async function embed_document(root) {\n",
+       "    var Bokeh = get_bokeh(root)\n",
+       "    await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+       "    for (const render_item of render_items) {\n",
+       "      for (const root_id of render_item.root_ids) {\n",
+       "\tconst id_el = document.getElementById(root_id)\n",
+       "\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n",
+       "\t  const root_el = id_el.children[0]\n",
+       "\t  root_el.id = root_el.id + '-rendered'\n",
+       "\t  for (const child of root_el.children) {\n",
+       "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
+       "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
+       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
+       "\t  }\n",
+       "\t}\n",
+       "      }\n",
+       "    }\n",
+       "  }\n",
+       "  function get_bokeh(root) {\n",
+       "    if (root.Bokeh === undefined) {\n",
+       "      return null\n",
+       "    } else if (root.Bokeh.version !== py_version) {\n",
+       "      if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {\n",
+       "\treturn null\n",
+       "      }\n",
+       "      return root.Bokeh.versions.get(py_version);\n",
+       "    } else if (root.Bokeh.version === py_version) {\n",
+       "      return root.Bokeh\n",
+       "    }\n",
+       "    return null\n",
+       "  }\n",
+       "  function is_loaded(root) {\n",
+       "    var Bokeh = get_bokeh(root)\n",
+       "    return (Bokeh != null && Bokeh.Panel !== undefined)\n",
+       "  }\n",
+       "  if (is_loaded(root)) {\n",
+       "    embed_document(root);\n",
+       "  } else {\n",
+       "    var attempts = 0;\n",
+       "    var timer = setInterval(function(root) {\n",
+       "      if (is_loaded(root)) {\n",
+       "        clearInterval(timer);\n",
+       "        embed_document(root);\n",
+       "      } else if (document.readyState == \"complete\") {\n",
+       "        attempts++;\n",
+       "        if (attempts > 200) {\n",
+       "          clearInterval(timer);\n",
+       "\t  var Bokeh = get_bokeh(root)\n",
+       "\t  if (Bokeh == null || Bokeh.Panel == null) {\n",
+       "            console.warn(\"Panel: ERROR: Unable to run Panel code because Bokeh or Panel library is missing\");\n",
+       "\t  } else {\n",
+       "\t    console.warn(\"Panel: WARNING: Attempting to render but not all required libraries could be resolved.\")\n",
+       "\t    embed_document(root)\n",
+       "\t  }\n",
+       "        }\n",
+       "      }\n",
+       "    }, 25, root)\n",
+       "  }\n",
+       "})(window);</script>"
+      ],
+      "text/plain": [
+       "Row\n",
+       "    [0] FileInput(accept='.pdf,.ppt,.png,.html')"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {
+      "application/vnd.holoviews_exec.v0+json": {
+       "id": "766802ea-95cc-416b-945b-2f22a03107a7"
+      }
+     },
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# 在web 界面中创建一个文件上传的小部件\n",
+    "# 并将其放置在一个行布局中，以便于用户能够在界面上进行文件上传操作\n",
+    "import panel as pn\n",
+    "from Utils_Ch5 import UploadFile\n",
+    "pn.extension()\n",
+    "\n",
+    "upld_widget = UploadFile()\n",
+    "pn.Row(upld_widget.widget_file_upload)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2023十大流行词.html       \u001b[34m2023十大流行词_files\u001b[m\u001b[m      el_nino.png\n",
+      "2023十大流行词.pdf        el_nino.html\n",
+      "2023十大流行词.png        el_nino.pdf\n"
+     ]
+    }
+   ],
+   "source": [
+    "!ls ./示例文件"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 四、本章小结\n",
+    "\n",
+    "针对非结构化的 PDF 文件或图像，需要利用其视觉信息来进行解析。本章提供了两种方法，分别是“文档布局检测（Document Layout Detection）”和“视觉 Transformers（Vision Transformers）\"，两种方式各有优劣，按需选择即可。"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "dw",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git "a/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/6. \346\217\220\345\217\226\350\241\250\346\240\274 Extracting Tables.ipynb" "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/6. \346\217\220\345\217\226\350\241\250\346\240\274 Extracting Tables.ipynb"
new file mode 100644
index 00000000..5c7d8b73
--- /dev/null
+++ "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/6. \346\217\220\345\217\226\350\241\250\346\240\274 Extracting Tables.ipynb"	
@@ -0,0 +1 @@
+{"cells":[{"cell_type":"markdown","id":"516d90b0-1dd9-4222-8b25-4dbc492fb104","metadata":{},"source":["# 第六章  提取表格\n","\n"," - [一、引言](#一、引言)\n"," - [二、代码示例](#二、代码示例)\n","     - [2.1、导入模块](#2.1、导入模块)\n","     - [2.2、查看文档](#2.2、查看文档)\n","     - [2.3、使用 Unstructured API 提取 PDF 文档中的表格](#2.3、使用Unstructured-API-提取-PDF-文档中的表格)\n","     - [2.4、查看和展示提取的表格](#2.4、查看和展示提取的表格)\n","     - [2.5、对提取的表格进行概述](#2.5、对提取的表格进行概述)\n"," - [三、中文示例](#三、中文示例)\n","     - [3.1、查看文档](#3.1、查看文档)\n","     - [3.2、使用 Unstructured API 提取 PDF 文档中的表格](#3.2、使用Unstructured-API-提取-PDF-文档中的表格)\n","     - [3.3、对提取的表格进行概述](#3.3、对提取的表格进行概述)\n"," - [四、总结](#四、总结)\n"]},{"cell_type":"markdown","id":"8192fe2d-b90e-4ee7-8665-0969a6df74ad","metadata":{},"source":["## 一、引言\n","***\n","大多数<strong>检索增强生成（Retrieval-Augmented Generation，RAG）</strong>应用主要关注文档中的文本内容。但在特定行业，文档中的结构化数据也非常重要。比如金融和保险行业会用到文档中的表格信息。为了实现针对表格的问答查询，需要对文档中的表格进行提取。\n","\n","在本章节中，我们将学习如何从文档中提取表格并推断其结构。表格数据在不同文档类型中的提取有所不同。\n","- 在 HTML 和 Word 文档中，文档本身包含表格结构信息。例如，在 HTML 的表格标签中。这些文档类型可以使用基于规则的解析器来提取表格信息。\n","- 在 PDF 和图像文档中，需要使用视觉识别先识别文档中的表格，然后从表格中提取信息。\n","\n","视觉识别常见的工具包括表格转换器（Table Transformers），视觉转换器（Vision Transformers），以及光学字符识别（Optical Character Recognition，OCR）。\n","\n","- 表格转换器识别表格单元的边界框，然后将输出转换为 HTML。优点在于能够追溯每个单元格的原始边框信息。缺点是需要多次调用昂贵的模型，包括文档布局检测模型和 OCR 模型。\n","\n","- 我们也可以使用前面章节已经学习到的视觉转换器来提取表格，并输出为 HTML 格式。该方法的优点是允许使用提示（Prompting），灵活性更高，并且只涉及单次模型调用。缺点是它是生成性的，容易出现错误，并且不会保留任何边界框信息。\n","\n","- 光学字符识别方法先通过 OCR 识别文档，然后基于 OCR 的输出，检查模式和规律来构建表格结构。对于结构比较清晰的表格，这种方法处理起来快且精确。由于其使用基于统计和规则的方法进行检测，使得其缺乏灵活性。同时，这种方法也没有办法追溯每个单元格的原始边框信息。"]},{"cell_type":"markdown","id":"abdf4fb9-cd90-4646-9671-f0f2cfbb5467","metadata":{},"source":["## 二、代码示例\n","***"]},{"cell_type":"markdown","id":"3d769d8f-1075-4215-90d4-3152cd0c6f3c","metadata":{},"source":["### 2.1、导入模块"]},{"cell_type":"code","execution_count":1,"id":"946a2219-4a88-4d41-8b2b-ab88aecbf507","metadata":{},"outputs":[{"data":{"application/javascript":"(function(root) {\n  function now() {\n    return new Date();\n 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Object.keys(js_exports).length;\n    }\n\n    var existing_stylesheets = []\n    var links = document.getElementsByTagName('link')\n    for (var i = 0; i < links.length; i++) {\n      var link = links[i]\n      if (link.href != null) {\n\texisting_stylesheets.push(link.href)\n      }\n    }\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      if (existing_stylesheets.indexOf(url) !== -1) {\n\ton_load()\n\tcontinue;\n      }\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }    var existing_scripts = []\n    var scripts = document.getElementsByTagName('script')\n    for (var i = 0; i < scripts.length; i++) {\n      var script = scripts[i]\n      if (script.src != null) {\n\texisting_scripts.push(script.src)\n      }\n    }\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (var i = 0; i < js_modules.length; i++) {\n      var url = js_modules[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = 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document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.2.min.js\", \"https://cdn.holoviz.org/panel/1.4.4/dist/panel.min.js\"];\n  var js_modules = [];\n  var js_exports = {};\n  var css_urls = [];\n  var inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n  ];\n\n  function run_inline_js() {\n    if ((root.Bokeh !== undefined) || (force === true)) {\n      for (var i = 0; i < inline_js.length; i++) {\n\ttry {\n          inline_js[i].call(root, root.Bokeh);\n\t} catch(e) {\n\t  if (!reloading) {\n\t    throw e;\n\t  }\n\t}\n      }\n      // Cache old bokeh 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https://unstructured.io/api-key-free\n","# 你需要在文件目录下创建一个.env的文件，文件中存放你的 DLAI_API_KEY=“your unstructured API Key”\n","# 然后通过 get_dlai_api_key 加载并获取环境变量 DLAI_API_KEY\n","from Utils_Ch6 import Utils\n","\n","DLAI_API_KEY = Utils().get_dlai_api_key()\n","\n","from unstructured_client.models import shared\n","from unstructured_client import UnstructuredClient\n","from unstructured_client.models.errors import SDKError\n","from unstructured.staging.base import dict_to_elements"]},{"cell_type":"markdown","id":"1773cd2b-55dc-4be5-af8a-b206c7594c18","metadata":{},"source":["### 2.2、查看文档"]},{"cell_type":"markdown","id":"5cc81af2-5dc0-473f-a958-61c0c6ee0fea","metadata":{},"source":["在进行 PDF 文档提取前，先导入 PDF 文档对应的图片（Image）版本，查看文档。我们将要提取的是图片中的表 1（Table 1）。"]},{"cell_type":"code","execution_count":2,"id":"8f80b7c0-3007-4fc8-ba3a-816a79dd87aa","metadata":{},"outputs":[{"data":{"image/jpeg":"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object>"]},"execution_count":2,"metadata":{"image/jpeg":{"height":1000,"width":1000}},"output_type":"execute_result"}],"source":["from IPython.display import Image\n","\n","Image(filename=\"images/embedded-images-tables.jpg\", height=1000, width=1000)"]},{"cell_type":"markdown","id":"9056d8d6-2a94-47df-ba3f-bad3d91a41e3","metadata":{},"source":["### 2.3、使用 Unstructured API 提取 PDF 文档中的表格"]},{"cell_type":"markdown","id":"8c0d40a6-b8bf-40f9-b71e-7900ecbb9536","metadata":{},"source":["#### 2.3.1 加载文档和预处理"]},{"cell_type":"code","execution_count":3,"id":"fa9fe208-40f1-41f9-8f4f-17553c0f146e","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["\n","将文档内容由类型 <class 'bytes'> 转换为<class 'unstructured_client.models.shared.partition_parameters.Files'> \n","\n"]}],"source":["# 读入 PDF 文档内容\n","filename = \"example_files/embedded-images-tables.pdf\"\n","with open(filename, \"rb\") as f:\n","    content = f.read()\n","\n","# 构建 unstructured API 的自定义文件格式\n","files = shared.Files(content=content, file_name=filename)\n","\n","# 查看类型\n","print()\n","print(f\"将文档内容由类型 {type(content)} 转换为{type(files)} \")\n","print()"]},{"cell_type":"markdown","id":"3605062f-a652-43ef-9541-075e5d654a38","metadata":{},"source":["<br>\n","\n","上面这部分代码先将 PDF 文档导入，然后将进行预处理，转化为 unstructured API 自定义文件格式。\n","\n","<br>"]},{"cell_type":"markdown","id":"0632d322-6e05-40a9-9ca5-3ca521e0444f","metadata":{},"source":["#### 2.3.2 定义请求参数并进行 API 请求"]},{"cell_type":"code","execution_count":4,"id":"1fc59340-a784-4d0a-a46a-7968fb82fbc3","metadata":{},"outputs":[],"source":["# 初始化 UnstructuredClient\n","s = UnstructuredClient(api_key_auth=DLAI_API_KEY)\n","\n","# 定义参数，这些参数将被 Unstructured API 用于解析 PDF\n","req = shared.PartitionParameters(\n","    files=files,\n","    strategy=\"hi_res\",\n","    hi_res_model_name=\"yolox\",\n","    skip_infer_table_types=[],  # 不想跳过任何文档类型的表格提取\n","    pdf_infer_table_structure=True,  # 需要要提取表格信息\n",")\n","\n","\n","try:\n","    # 进行 API 请求，发送定义好的参数，返回结果(resp)\n","    resp = s.general.partition(req)\n","\n","    # 将结果进行格式转换\n","    elements = dict_to_elements(resp.elements)\n","\n","except SDKError as e:\n","    # 如过请求失败，打印错误信息\n","    print(e)"]},{"cell_type":"markdown","id":"8af5e04f-fd87-4e85-8ce8-cd6eb4b429f6","metadata":{},"source":["<br>\n","\n","`s.general.partition(req)` API 请求的背后可能涉及多次对于不同模型的调用。\n","\n","<br>"]},{"cell_type":"markdown","id":"4c3fef73-69db-40c7-ac46-1d3e717b26d7","metadata":{},"source":["#### 2.3.3 从请求结果中筛选表格"]},{"cell_type":"code","execution_count":5,"id":"8714451f-699f-4d6c-a5d5-14190d06f00d","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["\n","请求结果中包含以下类型的元素： {'UncategorizedText', 'Table', 'ListItem', 'Image', 'NarrativeText', 'Header', 'FigureCaption', 'Title'}\n","\n"]}],"source":["print()\n","print(\"请求结果中包含以下类型的元素：\", set([el.category for el in elements]))\n","print()"]},{"cell_type":"code","execution_count":6,"id":"6ff108db-5bd8-4ed3-aae0-7c70f4b0a14a","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["\n","一共提取了1个表格，类型为 <class 'unstructured.documents.elements.Table'>\n","\n"]}],"source":["# 提取类型为表格的元素\n","tables = [el for el in elements if el.category == \"Table\"]\n","print()\n","print(f\"一共提取了{len(tables)}个表格，类型为 {type(tables[0])}\")\n","print()"]},{"cell_type":"markdown","id":"35de4aa3-1d15-4e76-873b-b8ab1e19c18e","metadata":{},"source":["### 2.4、查看和展示提取的表格"]},{"cell_type":"code","execution_count":7,"id":"df5e215a-27e1-4bef-8a8e-4fd10e8da385","metadata":{},"outputs":[{"data":{"text/plain":["'Inhibitor Polarization Corrosion be (V/dec) ba (V/dec) Ecorr (V) icorr (AJcm?) concentration (g) resistance (Q) rate (mmj/year) 0.0335 0.0409 —0.9393 0.0003 24.0910 2.8163 1.9460 0.0596 .8276 0.0002 121.440 1.5054 0.0163 0.2369 .8825 0.0001 42121 0.9476 s NO 03233 0.0540 —0.8027 5.39E-05 373.180 0.4318 0.1240 0.0556 .5896 5.46E-05 305.650 0.3772 = 5 0.0382 0.0086 .5356 1.24E-05 246.080 0.0919'"]},"execution_count":7,"metadata":{},"output_type":"execute_result"}],"source":["# 查看第一个表格的文本\n","tables[0].text"]},{"cell_type":"code","execution_count":8,"id":"05112d54-6e1a-4563-8761-73c923a0a2d2","metadata":{},"outputs":[{"data":{"text/plain":["'<table><thead><tr><th>Inhibitor concentration (g)</th><th>be (V/dec)</th><th>ba (V/dec)</th><th>Ecorr (V)</th><th>icorr (AJcm?)</th><th>Polarization resistance (Q)</th><th>Corrosion rate (mmj/year)</th></tr></thead><tbody><tr><td></td><td>0.0335</td><td>0.0409</td><td>—0.9393</td><td>0.0003</td><td>24.0910</td><td>2.8163</td></tr><tr><td>NO</td><td>1.9460</td><td>0.0596</td><td>—0.8276</td><td>0.0002</td><td>121.440</td><td>1.5054</td></tr><tr><td></td><td>0.0163</td><td>0.2369</td><td>—0.8825</td><td>0.0001</td><td>42121</td><td>0.9476</td></tr><tr><td>s</td><td>03233</td><td>0.0540</td><td>—0.8027</td><td>5.39E-05</td><td>373.180</td><td>0.4318</td></tr><tr><td></td><td>0.1240</td><td>0.0556</td><td>—0.5896</td><td>5.46E-05</td><td>305.650</td><td>0.3772</td></tr><tr><td>= 5</td><td>0.0382</td><td>0.0086</td><td>—0.5356</td><td>1.24E-05</td><td>246.080</td><td>0.0919</td></tr></tbody></table>'"]},"execution_count":8,"metadata":{},"output_type":"execute_result"}],"source":["# 得到第一个表格的文本，输出为 HTML 格式\n","table_html = tables[0].metadata.text_as_html\n","table_html"]},{"cell_type":"code","execution_count":9,"id":"5455fccd-f902-472f-aa30-eb1fc5b3c0ce","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["<table>\n","  <thead>\n","    <tr>\n","      <th>Inhibitor concentration (g)</th>\n","      <th>be (V/dec)</th>\n","      <th>ba (V/dec)</th>\n","      <th>Ecorr (V)</th>\n","      <th>icorr (AJcm?)</th>\n","      <th>Polarization resistance (Q)</th>\n","      <th>Corrosion rate (mmj/year)</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <td/>\n","      <td>0.0335</td>\n","      <td>0.0409</td>\n","      <td>&#8212;0.9393</td>\n","      <td>0.0003</td>\n","      <td>24.0910</td>\n","      <td>2.8163</td>\n","    </tr>\n","    <tr>\n","      <td>NO</td>\n","      <td>1.9460</td>\n","      <td>0.0596</td>\n","      <td>&#8212;0.8276</td>\n","      <td>0.0002</td>\n","      <td>121.440</td>\n","      <td>1.5054</td>\n","    </tr>\n","    <tr>\n","      <td/>\n","      <td>0.0163</td>\n","      <td>0.2369</td>\n","      <td>&#8212;0.8825</td>\n","      <td>0.0001</td>\n","      <td>42121</td>\n","      <td>0.9476</td>\n","    </tr>\n","    <tr>\n","      <td>s</td>\n","      <td>03233</td>\n","      <td>0.0540</td>\n","      <td>&#8212;0.8027</td>\n","      <td>5.39E-05</td>\n","      <td>373.180</td>\n","      <td>0.4318</td>\n","    </tr>\n","    <tr>\n","      <td/>\n","      <td>0.1240</td>\n","      <td>0.0556</td>\n","      <td>&#8212;0.5896</td>\n","      <td>5.46E-05</td>\n","      <td>305.650</td>\n","      <td>0.3772</td>\n","    </tr>\n","    <tr>\n","      <td>= 5</td>\n","      <td>0.0382</td>\n","      <td>0.0086</td>\n","      <td>&#8212;0.5356</td>\n","      <td>1.24E-05</td>\n","      <td>246.080</td>\n","      <td>0.0919</td>\n","    </tr>\n","  </tbody>\n","</table>\n","\n"]}],"source":["from io import StringIO\n","from lxml import etree\n","\n","# 使用 lxml 对表格的文本元数据进行解析\n","parser = etree.XMLParser(remove_blank_text=True)\n","file_obj = StringIO(table_html)\n","tree = etree.parse(file_obj, parser)\n","\n","# 将解析的结果以结构化　HTML 的方式打印输出\n","print(etree.tostring(tree, pretty_print=True).decode())"]},{"cell_type":"code","execution_count":10,"id":"8adef550-b4b9-40c3-a772-5c245f54b25b","metadata":{},"outputs":[{"data":{"text/html":["<table><thead><tr><th>Inhibitor concentration (g)</th><th>be (V/dec)</th><th>ba (V/dec)</th><th>Ecorr (V)</th><th>icorr (AJcm?)</th><th>Polarization resistance (Q)</th><th>Corrosion rate (mmj/year)</th></tr></thead><tbody><tr><td></td><td>0.0335</td><td>0.0409</td><td>—0.9393</td><td>0.0003</td><td>24.0910</td><td>2.8163</td></tr><tr><td>NO</td><td>1.9460</td><td>0.0596</td><td>—0.8276</td><td>0.0002</td><td>121.440</td><td>1.5054</td></tr><tr><td></td><td>0.0163</td><td>0.2369</td><td>—0.8825</td><td>0.0001</td><td>42121</td><td>0.9476</td></tr><tr><td>s</td><td>03233</td><td>0.0540</td><td>—0.8027</td><td>5.39E-05</td><td>373.180</td><td>0.4318</td></tr><tr><td></td><td>0.1240</td><td>0.0556</td><td>—0.5896</td><td>5.46E-05</td><td>305.650</td><td>0.3772</td></tr><tr><td>= 5</td><td>0.0382</td><td>0.0086</td><td>—0.5356</td><td>1.24E-05</td><td>246.080</td><td>0.0919</td></tr></tbody></table>"],"text/plain":["<IPython.core.display.HTML object>"]},"execution_count":10,"metadata":{},"output_type":"execute_result"}],"source":["from IPython.core.display import HTML\n","\n","# 使用IPython的模块对 HTML 格式的表格进行展示\n","HTML(table_html)"]},{"cell_type":"markdown","id":"15d3bec2-b4b6-413c-b7a6-4790255c99ac","metadata":{},"source":["### 2.5、对提取的表格进行概述\n","\n","一旦从文档中提取了表格内容并将其转换为 HTML，我们可以对这些表格进行概述。概述这些表格可以让我们在 RAG 架构中执行相似性搜索。下面我们使用 OpenAI 的 Chat 模型和 LangChain 框架来处理表格的 HTML 内容，并生成总结。"]},{"cell_type":"code","execution_count":11,"id":"b782e101-0b79-4cec-810e-d7f6780ac01a","metadata":{},"outputs":[],"source":["from langchain_openai import ChatOpenAI\n","from langchain_core.documents import Document\n","from langchain.chains.summarize import load_summarize_chain"]},{"cell_type":"code","execution_count":12,"id":"4eae90d6-ad2a-47c1-acd3-0d74210b9535","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["\n","The table provides data on inhibitor concentration, be and ba values, Ecorr, icorr, polarization resistance, and corrosion rate for different samples. The data shows the impact of inhibitor concentration on corrosion rate and polarization resistance.\n","\n"]}],"source":["# 初始化OpenAI模型\n","llm = ChatOpenAI(temperature=0, model_name=\"gpt-3.5-turbo-1106\")\n","\n","# 加载摘要链\n","chain = load_summarize_chain(llm, chain_type=\"stuff\")\n","\n","# 将HTML内容包装到一个Document对象中\n","document = Document(page_content=table_html)\n","\n","# 调用链来处理文档内容并生成总结\n","summary = chain.invoke([document])\n","\n","# 打印总结结果\n","print()\n","print(summary[\"output_text\"])\n","print()"]},{"cell_type":"code","execution_count":13,"id":"fbda3afc-4968-41ce-b6f0-47210f04799f","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["\n","该表格显示了不同浓度下的抑制剂对金属腐蚀的影响。随着抑制剂浓度的增加，腐蚀速率和极化电阻均呈下降趋势，表明抑制剂可以有效减缓金属的腐蚀速率。同时，极化电阻的变化也反映了抑制剂浓度对金属腐蚀的影响。\n","\n"]}],"source":["from langchain import PromptTemplate\n","\n","# 创建自定义的提示模板，用于将内容总结为中文\n","map_prompt = \"请用中文总结以下表格的内容：```{text}```\"\n","map_prompt_template = PromptTemplate(template=map_prompt, input_variables=[\"text\"])\n","\n","# 将HTML内容包装到一个Document对象中\n","document = Document(page_content=table_html)\n","\n","# 加载摘要链，并指定使用自定义的提示模板\n","chain = load_summarize_chain(llm, prompt=map_prompt_template)\n","\n","# 调用链来处理文档内容并生成总结\n","summary = chain.invoke([document])\n","# 打印总结结果\n","print()\n","print(summary[\"output_text\"])\n","print()"]},{"cell_type":"markdown","id":"d65a9b4d-403b-4d53-b9b2-a9d79806c418","metadata":{},"source":["## 三、中文示例"]},{"cell_type":"markdown","id":"b0d162f8-c7f9-4de2-abb2-16ca1afdc579","metadata":{},"source":["### 3.1、查看文档"]},{"cell_type":"markdown","id":"ab91a0cf-5ba4-48b9-b6c7-03c8cb4ba587","metadata":{},"source":["我们现在来对比亚迪2023年年报中的主要年度数据中的表格进行提取。我们将会提取下图中的第一张表格。"]},{"cell_type":"code","execution_count":14,"id":"ee92dcb5-1497-4dca-a856-3f7cdcac64ec","metadata":{},"outputs":[{"data":{"image/jpeg":"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JHKgbfLmYq8o+Yq3EjfodRRQAUUUUAFeK/tJjP7OvxTH/Uq65/6QzV7VXi/7SHP7PHxRH/Ura3/AOkM1AH8hf7FH/J3Hwh/7GbTf/R61/a5X8Uf7FH/ACdx8If+xm03/wBHrX9rlAH4C/sFP4ftP+ChvxtuvjbJ/ZHxRvLvUF0ewuRhXFzcvNdeQ5OC6wLF5IH34GdlyoNfv1X4r/8ABWf9m2/m0TSv2u/hf5un+LPBMluuqTWhMczWiOPs94rJ83m2spUFhz5bZJ2xCvq3/gn/APtl6f8AtYfC8xa/JFbfEDwwscOs2y4QXCkYjvYUH/LOXB3qPuSZGApQkA++6/ET/gt2P+LT/DY+mt3X/pNX7d1+JH/Bbof8Wj+HB/6jlx/6SmgDyP8A4Ib/APIb+MP/AF76H/6He1/QnX883/BD25t7fW/jB9olSLdb6JjcwXOHvPWv6DP7T03/AJ+ov+/i/wCNAF2iqX9p6b/z9Rf9/F/xo/tPTf8An6i/7+L/AI0AXa/h/wD2rP8Ak6L4w/8AY5eIP/TjPX9uf9p6b/z9Rf8Afxf8a/iK/aqZX/ag+MDoQyt4x8QEEcgg6jPQB/XP+xdJ5n7JXwgb08L6UP8Avm3Qf0r6br5S/YZm8/8AZA+EbjnHh6yT/vhdv9K+raACiiigAooqveXlpp9pPf386W1rbI0sssrBI440G5mZmwFVQCSScAUAcb8TPiR4Q+EXgPWviR48vl07QtBt2uLmU8nA4VEX+KSRiERRyzEAcmv46fj18Y/id+25+0Mdeg0+a71HXbiLTNB0iE7zb228i3t1PQsSxeRzgF2ZvlXgfT3/AAUX/bevv2pvHFv8K/ha80nw+0G722wiDGTWb/Pli4KDkxjJW3TGSCXI3MFT9Uf+Cbf7BEH7PXh6H4vfFSyWT4k63B+5gkAb+xbWUcxL/wBPMin98w+6P3a8by4B9O/sT/sm+Hv2S/hHb+FofLvPFWseXda9qCD/AF90F+WKMkA+RACVjBxnLOQC5FfYlFFABWDYeKfDWqa5qnhnTdVtbrV9E8n7dZxTI9xai4TzIjNEDuQSJ8yFgNw5FW9b1nS/DmjX/iHXLlLPTtLt5bq5nkOEiggQvI7HsFUEn2Ffxd+JP2sPimv7TfiX9pbwBrdzoWuavqc9zCVOR9iLbYbWaM5SWJYVRCjgg7QeoBAB/avRX5sfsUf8FG/h3+0/bWvgrxf5HhP4kqmGsGfFrqJUfNJYu5yT3MDHeo+6XUFh+k9AH5uf8FI/2OY/2mvhSfFHg60D/EPwZFJNp2wfPf2v3prEnuWxvhz0k+XgSMa/mL+Bnxu+IX7OHxP034leALk2eq6W5jnt5c+TdW5I822uE43RvjBHBUgMpDKpH9y9fzw/8FUv2EDod1qP7UPwh0//AIl105m8T6fAv+olc86hGo/5ZuT/AKQB91j5n3WcqAfsv+zP+0v8Of2o/hvaePvAV0qzhUTUtNdwbrTroj5opVGDgkExyYCyLyO4H0PX8MHwS+OfxL/Z78d2nxD+F2rPpmp23yyoctb3UBILQXEWQJI2xyDyDhlKsAw/qN/ZM/4KQfBT9pWCx8MavcJ4M8fSqqNpV7IFhupcc/Ybg4WXJ6Rttl64VgNxAP0SooooAKKKKACiivzW/wCCpXxZ+JvwT+Afhr4gfCjX7jw9rNl4rsVeWAgrLA1peboZo3BSWJnCEo4KkqDjIFAH6U0V+Jv7O3/BZL4a6/of9l/tIadJ4X121Qf8TDTYJbqwvMcE+Sm+aBz/AHfnQ4J3LwtfSn/D1/8AYk/6HC8/8FN9/wDGaAP0eor84f8Ah6/+xJ/0OF5/4Kb7/wCM0f8AD1/9iT/ocLz/AMFN9/8AGaAP0eor84D/AMFYP2JQCR4vvTjsNJvuf/INfh741/4KXfH+/wD2l7/47+BtWl0zSlIs7LQbhjLYNpcTEpDcwhgrSPku8ikOHY7GUAAAH9cNFfFX7H/7cXws/a40FotDb+w/GenQCXUdCuHDSxqCFaa3fAE0G5gNwAZSQHVcru+1aACvwG/4Lm/6j4Lf73iL+WnV+/NfgN/wXN/1HwW/3vEX8tOoAy/+CGv/ACFPjJ/1x0H/ANCvq/oNr+fL/ghr/wAhT4yf9cdB/wDQr6v6DaACiiigAooooAKKKKAPxv8A+Cs/7JPxH+OOi+Fvin8KNKl8Qar4UiuLO/022UPdS2cxEqSwJ96Ro3DAxoGdt4KqcGvww+F/7H37R3xO8ead4I0rwBrmnS3NzHDcXd7p9xaW1khYb5Z5ZUVUCLlsZ3HGFBYgH+1+igBkaeXGse4ttAGWOScdyfWn0UUAFfzzf8FwPG1pceIvhb8OYHBubC11HVbhc8hLt4oIDjtzBLX9B1/f2Wl2NxqepTpa2lnG8000rBI444wWd2Y8BVAJJPAFfxV/ti/HiT9o/wDaH8W/E+Fm/sm4nFppSNkbNOtB5UBweVMgBlYdndqAPrD/AII/+DLzxF+13B4kigL23hXRtQvJZcfKjXCCzQZ/vN5zYHXAJ7Gv6r6/Jr/gkV+z1f8Awp+A178T/EtsbbWfiVLDdQo64kj0u2DLaE56eaXklGOCjRnrX6y0AZHiDWrPw3oOpeItQO210u2mupT0xHAhdv0Br+Drxb4m1Xxr4q1nxjr0nnalrt7cX90/96e6kaWQ/izGv7Pf21fENx4X/ZL+LWr2rbZv+Ecv7dW6FTdxG3yPceZke9fxRUAf1df8Eh/AsXhT9j2w8RbQJvGOr6jqTHHzbYZBYKPp/oxI/wB4nvX6hV8l/sIaDH4c/Y8+EunxjAl0G2vOPW+zdH9Za+tKACiiigD+M/8A4KFeDo/A/wC2b8VNHhULHdaoNTGOhOqQR3zf+PTHPvX6df8ABD/x1cPafFL4aXMxMEL6dq9rFngPIJbe5b8QkA/Cvj3/AIK+6Mml/tjXt8owdX0TTLpvqqvb/wAoRXTf8EaNduNM/at1TSUb9zrHhm+idT0LRXFtMp+o2EfQmgD+pKvzd/4KcfsweMv2lPgdYD4b2/2/xR4Qvvt9vZblRruCSMxzxRs5VRIBtdQT82wqMsVr9IqKAP4fdI/ZZ/aT1zxJF4RsPhf4k/taZ1j8mbSrmDYWOAZHljRI19XchQOScV/Zn8E/BOofDX4N+BPh3q84ub7wxoWm6ZcSqxZXms7aOFypODtLKdue2K9PooAKKKKAPxm/4LWeNrTSvgJ4N8BBwL3xDr4uwueTb6dbyCQ49pLiLmvxq/4J6+DLzxv+2R8L9PtIDMunaouqTHHEcenI1zvY9hujAHqSB1Neh/8ABTf9oe2+Pf7S+pWnh+5Fz4Z8DRnRbB0bdHNLE5a7nUjIO+YlFYcMkaEda/Qb/gi/+z1f6Xpvib9pLxDbGJNXjOi6LvXBeBJFe8nXP8LSIkSkd0kHTqAfvLRRRQB4L8av2YfgL+0RHaL8YvB1p4hmsFKW9yWltrqJCSdi3Fs8c2zJJ2b9uecZrpPhD8DvhP8AAXw3J4S+EXhq28N6ZNL50qQl5JJpMY3yzSs8shA4BdzgcDivVqKACiivOfid8XPhp8GfDc3i34o+JLLw5pcSsRJdyhGlKjJSGPl5Xx0SNWY9hQB8e/8ABUP4iWHgD9jbxlbTyqt74qa10azRjgyPcTK8oA6nbbxyt+FfytfBX4b6l8YPi34R+GOkxtJP4k1O2szt/gikcebIfRY49zsewBNfWf7d/wC2PrX7ZPxO0/T/AAnZXNt4M0F2t9EsGTNzczTlVe5lRC2ZZSFVEBOxQAPmZyf1t/4Jj/sDan8DoE+PXxftfs/jbVbVotN0yRfn0q1nA3vNnlbqVflKjmNCyt8zMqgH7EwwxW8KW8ChI4lCqo6BVGAB9BUlFFABRRRQAUUUUAFfzr/8FAv2pfGn7V3xLtv2Of2YYZvEGlpdCPUZbE7l1W9hbJjEmQos7Ujc8jEIzjeTsRWb9gf2wfh38ePiv8Hrn4ffAPxBYeGtT1u4jttSu7xpY3GmSZWdbeSJXKOcjd8uSm5VIYg1n/sm/sb/AAr/AGSvCR0vwhD/AGn4jv41Gqa5cIBdXbDkog58mANysSnHALF2+agDzr9hj9hbwj+yR4UOqak0WtfETWYVXU9TC5SBDhjaWm4ArCpA3MQGlYBmAAVF958eftSfBD4X/FbSfg38RfEcXh3X9dsUv7J70GKzmjkmkhVPtJ/dpIWjbCuVzxgkkCvoOv5qf+C21uF+OfgG7xzJ4cZP++LyY/8As1AH9KiOkiLJGwZWAIIOQQehFOr+Tj9i34i/8FF/Fui6v4B/ZV8UT3Wl+G0gkntL2TTZo7SOcusawf2qr7EJRvkiIXPJGTmvuH+zv+C5X/QUtf8Avnwt/wDGqAP3mor8Gf7O/wCC5X/QUtf++fC3/wAao/s7/guV/wBBS1/758Lf/GqAPjn/AILDf8ngN/2L+m/+hTV+h3/BEv8A5IF46/7GY/8ApFb1+KP7ZkX7S8PxkKftXzJP45/s62O6MWQX7Hl/JH/EvVYeu7tu9e1fRv7Ddr/wUQn+H2vN+x3eQ2/hoaoRqCyDRyTfeRHyP7RRpP8AVbPunb+OaAP6v6K/Bn+zv+C5X/QUtf8Avnwt/wDGqP7O/wCC5X/QUtf++fC3/wAaoA++/wBt79t7wZ+yP4M8mHytZ8f6zEx0nSS3CjlftV1tIKQIeg4aVhtXADunCfsEft/eHf2qdDHgzxobfRfibpkRae1T5INShTrc2gYk5A/1sWSV+8Mpnb+OPxB/4J0/8FFPip4w1Lx98QvDya5r+ryebc3U+sabudsYACrOFRFACqiAKqgKoAAFZPhn/gmb/wAFAPBniDT/ABX4U8LppWsaVMlxa3VvrWnxywyxnKsrC44I/XoeKAP6yqK8H/Zz1/46a78NLIftFeGIfDXjWxP2e5Ntc29zb3oVRi6jFu7iIvyHjPRgSvykAe8UAFFFfLH7YPw7+PHxX+D1z8PvgH4gsPDWp63cR22pXd40sbjTJMrOtvJErlHORu+XJTcqkMQaAPx+/wCCgX7UvjT9q74l237HP7MMM3iDS0uhHqMtidy6rewtkxiTIUWdqRueRiEZxvJ2IrN+ln7DH7C3hH9kjwodU1Jota+Imswqup6mFykCHDG0tNwBWFSBuYgNKwDMAAqL6L+yb+xv8K/2SvCR0vwhD/afiO/jUaprlwgF1dsOSiDnyYA3KxKccAsXb5q+t6APnzx5+1J8EPhf8VtJ+DfxF8RxeHdf12xS/snvQYrOaOSaSFU+0n92khaNsK5XPGCSQK+gUdJEWSNgysAQQcgg9CK/mr/4LbW4X45+AbvHMnhxk/74vJj/AOzV4d+xb8Rf+Ci/i3RdX8A/sq+KJ7rS/DaQST2l7Jps0dpHOXWNYP7VV9iEo3yRELnkjJzQB/WPRX4M/wBnf8Fyv+gpa/8AfPhb/wCNUf2d/wAFyv8AoKWv/fPhb/41QB+81fyp/wDBYb/k8Bv+xf03/wBCmr7G/s7/AILlf9BS1/758Lf/ABqvyZ/bMi/aXh+MhT9q+ZJ/HP8AZ1sd0Ysgv2PL+SP+Jeqw9d3bd69qAP2u/wCCJf8AyQLx1/2Mx/8ASK3r9nq/lA/Ybtf+CiE/w+15v2O7yG38NDVCNQWQaOSb7yI+R/aKNJ/qtn3Tt/HNfbP9nf8ABcr/AKClr/3z4W/+NUAfvNXwp+29+294M/ZH8GeTD5Ws+P8AWYmOk6SW4Ucr9qutpBSBD0HDSsNq4Ad0+BP7O/4Llf8AQUtf++fC3/xqvjH4g/8ABOn/AIKKfFTxhqXj74heHk1zX9Xk825up9Y03c7YwAFWcKiKAFVEAVVAVQAAKAP2O/YI/b+8O/tU6GPBnjQ2+i/E3TIi09qnyQalCnW5tAxJyB/rYskr94ZTO39Jq/k18M/8Ezf+CgHgzxBp/ivwp4XTStY0qZLi1urfWtPjlhljOVZWFxwR+vQ8V/Sl+znr/wAdNd+GlkP2ivDEPhrxrYn7Pcm2ube5t70KoxdRi3dxEX5DxnowJX5SAAD3iiiigAooooA/CH/guLdqnhX4SWPea91iQfSOO1H/ALPXyn/wSV+FXgj4yeMPiv4E+IulR6xoOqeG44J4ZByC93GyyRsOUkQruR1IKkAg19Af8Fyr3ff/AAa04H/VRa9KR/10axUf+gGsH/gh7Y+Z43+K2pY/1GnaZFn/AK6zTt/7ToA9Q0z/AIIfeDk1q7uNZ+Kl/LpDTObe3t9NijuEgLHYslw8zozhcAkQqCeQBnA9I/4cofs3/wDQ5eLP+/8AYf8AyFX7IUUAfzf/ALbH/BMr4Mfs0/s+a18XPBviTX9R1TTLmxhjgv5bR7dlubhIm3CK2ifIDEjDdetfCv7Bv7Nvg79qj44y/DDxxqN/pemppN1fiXTmiSfzIHiVVzNHKu0iQ5+XPTmv6AP+CtEnl/sV+JV/56ajpK/+TSH+lfkP/wAEcf8Ak7q4/wCxb1H/ANG29AH6J/8ADlD9m/8A6HLxZ/3/ALD/AOQqP+HKH7N//Q5eLP8Av/Yf/IVfsfRQB+OH/DlD9m//AKHLxZ/3/sP/AJCr8Xf27P2cvCH7Lfx2f4W+CNQvtT01dMtL3ztRaJ5/MuC+4ZhjiXaNox8ufev7Ma/lQ/4LCf8AJ4Mn/YA03+ctAHu/7F3/AATF+C37SX7O/h34veMPEviDTtV1eW+jlgsJbRLdRa3UsCbRLbSPyqAnLHnOMDivqn/hyh+zf/0OXiz/AL/2H/yFXuX/AAShl8z9iTwcn/PO81df/J+Zv61+jtAH44f8OUP2b/8AocvFn/f+w/8AkKvrT9lj9h3wf+yRquqXfw88beI9R0zWY8XWlalNayWLzLjZcBIraNllUDbuVhlThgcLj7booAKKKKACiiigD4U/4KX/APJj3xQ/699P/wDTla1/Of8A8E3P+T2/hb/1+Xf/AKQ3Ff0Yf8FL/wDkx74of9e+n/8Apyta/nP/AOCbn/J7fwt/6/Lv/wBIbigD+xuiuT8Z+PPBPw50SXxL4+16x8O6VD9661C4jtogeuA0jKCx7AcnsK/LX4x/8Ffvgr4avT4Y+Bmhah8TdfmcQwPEj2di0rHaqozo1xK27oqQgN/C/OaAPtj9tX/k0j4vf9ixqf8A6Iav5Nf2Nv8Ak7H4P/8AY16P/wClcdf0qfEPx38VfiT/AME6PiJ4v+NPhA+CPFl74Z1k3Om4KhYwknkuI3d5I98e0lJCHVs5AGK/l4/Z88d6L8L/AI6eAPiP4kWZ9K8M65p+o3S26h5jDbTrI4RWZQWwpwCw570Af3N0V+Tv/D5X9kn/AKB/ij/wX2//AMl0f8Plf2Sf+gf4o/8ABfb/APyXQBuft0/8E5PAP7QHh3VfiB8L9Nt/D3xNt1e5EkCiKDV2UEmG5RcIJn/gnwG3YEhK8r/O98Av2Sfjp+0f4rPhn4e+HJxBa3HkX+pXaNBYWDKcOJ5WH316+UoaQ9lNf0C/8Plf2Sf+gf4o/wDBfb//ACXVa1/4LEfsfWMRgsdI8SW8ZZ3Kx6ZbIpeRiztgXQGWYkk9ySTzQB9l/sl/sseCv2TPhdF4B8LynUdRu5PtWq6nIgSW+uiNu7bk7I0Hyxx5O0cklmZj9QV/Nr+21/wVaPxY8IL8Nf2cE1Lw7pepxkavql2q219IhJH2a3EUknlow5kk3BmB2ABd276B/wCCb/8AwUgXxmumfs/ftA6mF8QqEttD1y5fAvx91LW6dv8Al47RyH/W/db97gyAH7k0UUUAFcv428VWngbwhrPjK+tLu/t9EtJrt7ewge5uplhQvshiQFndsYA6Z6kDJrqK/P345/8ABSH4G/s7fEO++GfxL0LxPaapZqkiSRafC1tcwyDKzW8jXCeZGTldwHDBlOCCKAPzR+HP7Pvxp/4KdfGuX9oT47x3HhX4V2Mxt9Osssks1pC5xZ2YYA7c5+0XRA3OWCDIxH/Qj4W8LeHfBPh3TvCPhHTodJ0bSYUt7S0t0CRQxIMKqqP1PUnk81+Xn/D5X9kn/oH+KP8AwX2//wAl0f8AD5X9kn/oH+KP/Bfb/wDyXQB+sVFfk7/w+V/ZJ/6B/ij/AMF9v/8AJdH/AA+V/ZJ/6B/ij/wX2/8A8l0AfrFRX5O/8Plf2Sf+gf4o/wDBfb//ACXR/wAPlf2Sf+gf4o/8F9v/APJdAH4Jftzf8nf/ABb/AOxhvP8A0Kv6U/8Agl5/yYr8MvprH/p3vK/lw/aW+IugfFv4++PPiZ4WSePSPEmq3F7arcoI5hFK2V3qrMA3qAx+tfsJ+xZ/wUx/Z2/Z/wD2Z/Bvwi8dWevS65oA1D7Q1lZwy25+1X9xcpsd7hCfklXOVHOR70Af0D0V+Tv/AA+V/ZJ/6B/ij/wX2/8A8l0f8Plf2Sf+gf4o/wDBfb//ACXQB+sVFfk7/wAPlf2Sf+gf4o/8F9v/APJdeS/G3/gs18Ll+Hmo2/wF0bVZvGV0PJtZtXtYYbS03g7p2CTSmRk/gjICk4LHAKsAfpL8Rf2vPgD8Kvi14e+CnjfxPDYeJ/Ef3EPMNqX/ANSLuXO2AzniPd14J2qQT9L1/A/4l8S+IPGXiDUPFXirUJtV1jVZnuLq6uHMks0shyzMx5JJ/wABxX7t/wDBN3/gpF5H9l/s9ftC6p+7+S10HXrp/u/wx2d5Ix6dFilY8cI5xggA/oFooooAKKK+YP2nv2tvhH+yn4R/t/4hX/n6rdox03R7Yq19fOOPlUn5IgfvyvhV6DLEKQD1H4v/ABh+HvwJ8B6j8SPiZqqaVo2nLyx+aWeUg7IYI+skr4wqj3JwoJH8lv7Wv7WXxN/bc+KdjBZ2FxDolvP9l8PeH7YNPJumYKHdUz5t1NwCQOBhF4yW6fxz45/ao/4Kb/GaGw0PSZL2CyJFnplszJpWjWshwZZ5n+UM2Pnlf55CNqLgJGNmbwL+1D/wTc+NYttK8M6ZrfiLV7bbpGrrp8mqQyxYxN9hLBGSX5gkwKCQDAHyPlwD9bP+CeH/AATmt/gAlt8Y/jLDFe/EO4izZ2XyyQ6Kkgw3zDKvdMp2s6/KgyqE5LH9dK/nn0L9qn/grz4kt47vS/hjP5MoyjT+HHtgw9R57Jwex6GuyHxu/wCCzBAI+G1tz/04Wg/9uaAP3mor8Gv+F2f8FmP+ibWv/gDaf/JNfLnj3/gqB+3r8MPFuo+BPH1vo+ja/pLIl1aTabGXiaRFkUEpKV5RlIwehoA/qIor+ej4f/tXf8FZvip4Q0/x78PvBVjrXh/VRIbW7h0+2CSiKRoXwHuFbh0ZeR1Fdl/wuz/gsx/0Ta1/8AbT/wCSaAP1H/as/Zm+Ef7THw0u/D/xRWPTm0uKW5stbBRJ9KdVy0okcgeVhcyo5CMoycMFZf4wvFujWHhzxTq+gaVq1vr1lpt3Pbw6hahxb3ccTlVniDhWCSAbhkZwa/Yz462//BW39oXwY3w+8c+Brq10GaQSXNvpsdpaC628qk7LOWeNTzsztJwSCQuPiQf8E7v20s/8kq1I/wDbW2/+PUASfs1/t9ftD/syvb6X4Z1n+3fC0RAbQ9VLXFoq9xA2RJbnqR5bBM8sjV+2HwX/AOCxn7PXjryNN+Kum33w81KTAaZwdR07ceOJoFEy5P8AegCju3U1+SWv/wDBND9po/Dx/iDoPgi/t72xbZqGgXDRSXwwM+fYmJ2+0wt/c+WdD8m2UDzD+eWoaff6TfT6ZqttLZXlq7RzQTI0csbqcMrowDKwPBBGRQB/dh4G+LHww+J1ot98OvFuleJYWUPnTr2G5Kg/3ljZipHcMAR0Ir0Cv4RPhd8PfiP8UPG2n+D/AIUaTd6x4kumLW8Nl8si7OTIZMqsaL1Z2ZVXuRX9SX7BH7Nn7VXwMbUtR/aD+I0niTT7+xSGz0Q391qK2M29XL+ZPhFYKChWLcvOdxoA/SmiiigAooooAK+JP+Ci3w8/4WR+xx8R9Mhi8y60iyXWYCBkqdLkW5kI9zCki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v7LtQ0+w1awudK1W2jvLK8jeGeCZBJFLFICro6MCGVgSCCMEcGvGvgX+zp8Jv2cNE1fw/8ACbR/7Ks9bv5dRuQzmVzJJwsYdvm8qJfljQk7RnqSxIB6l4W8L+HvBPhvTPCHhOwi0vRtHt47W0tYRtjhhiUKiqPYDqeSeSSa36KKAPkv9rf9kD4b/tb+Bf8AhH/FKDTfEOnq7aTrUUYa4s5G6qwyPMgc48yIkA9VKsAw/mY8Z/D/APa7/wCCdnxLa8s72+8MSSvsttX04mXSdTjXJVTvUwy46mGdNy9So4J/sbrD8SeGfDnjHRLvw14t0u11nSb9DHcWl5Ck8EqHs8cgKsPqKAP53vhZ/wAFsPiRo8ENh8YPAlh4kCAK15pc76dOQOrvE4nidj6L5Q9hX254S/4LH/sn68iL4htPEHhqXjf9psY54wf9lrWaViPqgPtU/wAXv+CQP7MXxAuJtU8CTaj8Pr6XJ8uxkF1Ylj3Nvc7nHsscqKOw9PgDxt/wRO+OGlySyeAfHOg+IIEztF6lzp07j2RUuUB+sgHvQB+uGj/8FLP2ItbC/ZvidbQMeq3Vjf22PYmW3Ufka7q1/bo/Y/u1DxfFvw+oP/PS8WI/k+DX83fiH/glr+23oBdovAcerQp/y0stTsJM/RHnSQ/98V5Nqf7C37YGkEi7+EniCTH/AD72jXP/AKJL0Af1X/8ADan7JO3f/wALe8MY/wCwpb5/LdmqE/7c37IFuCZPi54eOP7l6j/+g5r+TG5/ZM/amtM+f8HvGCgdxoN+w/MQkVkP+zV+0ZH/AKz4V+K1+uh3w/8AaNAH9Wmpf8FH/wBibSs/avinZPt/54Wt7cf+ibd8159qf/BV/wDYksAxtfGF5qOOn2fSL5c/TzoY/wBa/mF/4Z0/aDBx/wAKx8UZ/wCwLff/ABqpU/Zt/aJkOI/hb4qY+2iXx/8AaNAH9DGv/wDBaL9l/Tt0eieHvFGryDowtLSCI/8AApLreP8AvivPNO/4LF6x481ceHfg18BdY8WalJ9yGO+Z5sHjcYba0nOPX5gPevxq+HH7GX7R3jrx54d8I3/w38T6JY6zqFraXGo3WiXsVtZwzSqklxK8kSoqRKS5yw4Ff16/BT4F/DL9n3wRZ+A/hfo0Ol2NuiCaZUX7TeSouDPcygBpZG6kngdFAUAAA7zwfqmr654S0TWvEGnNo+qahY21xd2THc1rcSxK8kJJAyY2JUnA6dK6KivhP/god+0vB+zb+zxq17pd15Pi7xYsmk6IqtiRJZUxNdDuBbxksGxjzDGp+9QB+C37XPiLxH+23+3rc+B/h84voTfQ+F9HYZeJLayZhcXJI6xCQzzlh/yz55xX9Svwq+G/hz4P/Djw58MPCUZj0nw1ZRWcO77z+WPmkfHV5Hy7nuzE1+X3/BKv9jC4+Dfg1/jt8StONv408WQBdPtp1xLp2lvhgWU8pNc8MwPzKgVTgtItfsDQB+Xn7VP7W/7X37P/AMSNYj8K/BAeLvhvaJbvaaxbi4mdw0CPO05tjL5ISYug8yNchQckEE/HVn/wXKvo49uo/BmOaT1i18xjP0awf+df0EV+Pn/BS39hH4f+PPhj4h+PHw40mHQ/G3hi3m1K/WzhWOPVrSIb7gzImB58aBpFlA3Ngo27KlAD8Ff2qf2k/FP7Vfxcu/ip4osotKzbw2VnYwu0iWtpBuZI/MYAuS7u7NgZZjgAYA/oO/4I4eELzw7+ydd67ewPF/wk/iK+vYGcECS3iigtQVz1XzIZBn1zX5B/si/8E2PjJ+0bqVj4j8X2dx4J+HzbZZNSuotlzeRddtlA+GbeOkzARAcguRsP70fFn9rz9lX9iDwVpvwzOpLc3vhyzisrHw7pJW5vUjhQKgnO4JCTgFmmdWbJYBzmgD7wkkSJGllYIiAlmJwAB1JPpX4zftpf8FXPCfwzF98OP2cZrbxP4rXdFca1xNpmnt0Pk4yt1Mvt+6U4yZCGQfCfxB+Pn7cv/BSHWLjwZ8JvDd7pPgOSQxvZaezQ2Gz/AKiWpSeWkrY58vKqcfLEWGT9y/swf8EfPh74Ee08WftFX8fjXWoisi6Ta749IhYcgSswWW5wexEcZ5DI45oA/Kv9nn9kD9o39u/x1dfEDxHe3cGiX9wZNT8VasHlErA4ZLZWINxIoG0IhEcYAVmQbQf6eP2dv2Z/hR+zB4JTwX8MNM8nzdr31/Ph72/mUY8y4lAGcZO1FARMnaoyc+56dp2n6RYW+laTaxWVlaRrFDBAixxRRoMKiIoCqoHAAAAFXKAPyI/bx/4JlaF8d5b/AOLPwTWDQ/iA4aW7smxFZaw45LE8CG5b/np9yQ/6zBJkH81mr6R48+E3jWbStXt7/wAKeKfD9xhkbzLS8tZ05DKRtdT0Ksp5GCDgg1/eVXzD+0j+yD8EP2pdFFj8TNGxqtvGUs9YsyIdRtQeQFlwQ6Akny5FdMkkKDzQB+CHwI/4LA/H74b29poXxU0+1+I2k24CefOxs9UCDgZuUDRyYHeSIux6v3r9bvhX/wAFVP2QfiPawLrPiKfwRqcmA1prVs8ahu5FzCJbfbnoWkUkfwivxj/aQ/4JUftC/BiS61z4fwH4k+F4suJtNiI1GFB/z2scs7EesJkHcheleAfsjfsZfEb9rP4gX/hTRZR4f0jw/sbWdTuomcWXmFlSJYcq0kzlG2plR8rFmGOQD+wXwb8Svh38RbT7f8P/ABRpfiW2xuMmm3sN2oHuYXbH412tfA/7MP8AwTr+Bv7LfieDx74Uu9V1nxTFayWrXl/cJ5e2YASbIIURVBxwGLkD+InmvvigAooooAK/hz/ack839pP4sS/3/Fuut+d/Ma/uMr+F34+3X2746/Ea9zn7R4k1eTP+/eSn+tAH9iv7H8ol/ZR+Dzjt4R0Rf++bKJf6V9G18e/sf+L/AA94f/Yo+F3ivxRqdtpGk6b4ZsvtN3dypBBCkEYjLPI5CqAVxya/M39qP/gpN48+Neuz/s9/sPaXf6pc6lvtp9ctIJDeXCn5X+wRgBoYwD81zJhgMlQmBIQDX/4Kl/t62Ol6VqX7MXwb1NLjUL5Xt/E2o277ltoT8r6fG44Mr9JyPuL+7+8zhPO/+CXf7AV9q2qaZ+0z8adMaDTLNkufDWm3C4a5mHzJfyoeREhw0AP32xJ9xV3+2/sZ/wDBJzR/At5ZfE79pz7P4h8QIRPb6ApE9hayfeDXb8rcyA/wDMQOcmXII/bJEWNQiAKqgAADAAHYUAOr8zvFf/BVn9mzwD8SvE3wu8dad4i0fUvC+pXWmz3DWMUttI9rK0RkjMc7SlH27lJjBKkGv0xryT4qfAX4NfG7Tv7M+K3g7TfEsYUokl1ApuIgf+eVwu2aL6o6mgD5p0L/AIKZ/sR68i+T8SobOQ9UvLC/tyv1Z7cJ+TGvnX9sr/gph+z1p3wU8UeDPhD4jj8YeK/FGnXGnW4s4pRb2iXiGGSeWZ0VN0aMzIilmLhdwCkmvjf9sf8A4JJap8PNH1D4lfs23N34h0i03TXOgXA82/t4Rks9rKoBuFX/AJ5lfMAHDSGvxJRHldYo1Lu5ACgZJJ6ACgD6E/ZJ8J3Xjf8Aaf8AhX4atITP9o8SaZJKqjJFvb3CTztj0WJHY+wr+3WvxC/4JZ/sIeJfhde/8NF/GXTZNK8Q3Fu8OhaZONs9pBcJtlurhOqSyITGkbYZULlxlgF/b2gAooooAKKKKACiiigAr5L/AG738v8AY8+LTeug3I/PAr60r48/4KAS+T+xp8V3PfR2X/vuWNf60Afyr/sdf8nYfB7/ALGzRv8A0sjr+2uv4l/2No5JP2sfg+salyPFejtgDPC3cZJ+gAyfav7aKACiiigDzb4l/GH4YfBzTrHV/il4lsvDFjqdwLS3nvpPKjecoz7Nx4HyqTk4HHWmeGvjV8HPGaLJ4Q8d6Drav0+xana3Gc/9c5Grmfj5+zl8J/2l/CMHgv4t6XJqVhZz/arVobiW2lt7jY0fmI0TAE7WIw4ZeeV6V+Hn7Rn/AARn8WeGrK78Tfs5eIG8T28AZ/7F1Ty4b/aOcQXKhIZm/wBl1i6cFiQKAP2j/at+K/gT4Xfs/wDjrXvFusWtks+i39vaRSSqJLu5nt3jhhhTOXZ3IGFBwMk4AJH8avwn/wCSp+Df+wzp3/pTHXH6tpGq6Bql3omuWc2n6jYSvBcW1xG0U0MsZ2ujowDKykYIIyDX2z/wT0/Z18TfH39o/wAMzWlpJ/wjXg+9ttY1i8KkQxxWsgligLYx5lw6BFXrt3t0QkAH9idFFFABRRRQAV8//tZP5f7LPxjf08G+IPzOnTgV9AV83/tiTeR+yh8YX9fCetL/AN92ci/1oA/ki/Y8mEH7V/wec8Z8W6Kv/fd5Ev8AWv7ba/h2/ZguxYftLfCW+JwLfxdoMh/4Bfwn+lf3E0AFFFFABX4K/wDBb7xvpi6L8MPhvDOj6hJcX2rTQj78cKIkELn0EjNKB6lD6V+9VfiP/wAFZ/2Mdb+Iumj9pj4eLPf6t4dslt9a08FpDJp0BZ1ubdecNBuYyoOGT5xhlbeAfir+z3+1n8XP2YNL8X2fwjntNPvfGMdpFPfTwC4ntlszKVNurkxBm805Lo/QYAPNe9fs0fsofH79v/4gT+OfHGuX7eG4JgmqeJNTke5kcr8xtrMSH95IAeFGI4gQWx8qN5/+w7+yFrn7XPxV/sCWSXTvB+hKlzrmoRr8yRMcR28RIK+dOQQuchVDOQdu1v6/PAvgXwl8NPCOleA/AumRaPoWiwrb2trCMJGi+pOSzMSWZmJZmJZiSSaAOL+CXwH+Fv7PPgu38C/CrRItJsIwpnlwGubuUDBmuZsbpZD6ngDhQqgKPYKKKAPzg/b1/YE8NftWaC3jHwl5OjfEzSYNlrdt8sOoRJkra3ZA/COXqmcHKcD+Unxn4M8V/DzxRqPgvxvpc+i65pMrQXVpcoUkjdfUdCCOVYZVgQVJBBr+9WvkP9q79i74RftZ+G/sni+2/svxNZxlNO121Rftdt1ISQcCeDJyYnPclGRjuoA/lV+B/wC19+0R+zvLHH8MPGN3Z6Yjbm0y5Iu9ObJy3+jTbkQt3aPa/wDtV+tfwp/4LcRCCGy+N3w7YyqB5l94fnBDHvizumGP/Ag/QV+eXxk/4JwftQfCPx5pvg+Lw4/iqx168jstO1bSlaWzlkmbagnJG62POW80BRglXZQTX9AH7K//AATm+BP7PPhuxufEOi2fjXxwyBrzVtQgE8aSkcpZwS7khRegfb5jclmwQqgH2B8Ifil4a+Nfw20H4qeD0uI9G8RQG4tlu0WOcIHZCHVWcA5U9GP1r0iobe3t7SBLa1iWGGIBURAFVQOgAHAFTUAFRTrK8MiQP5cjKQrkbtrEcHHfB7VLRQB/G7+2z8af2o/FnxS134U/tDeJJbuTwjfPAun28a2mnZXmK5jt4wofzY2DxySbn2PjIBxXlH7O/wC0p48/Zj8S33jL4b2OlS63ewC2W71G0+1S20WSXEBLqEMmQHOCSAACAWB/d7/gqB+wr41+PniHwl8Uvgno66l4okdNH1aASRwB7b5nt7t3kKqBCdySEksVZABhK4L4L/8ABFLwpZWtvqXx98aXOp3pAZ9O0EC3tkb+611OjySr67Y4j6GgD4Zl/wCCvH7ZMn3NS0aP/d0uP/2ZjWdL/wAFa/20pPueItNi/wB3Srb/ANmU1++vhT/gnN+xd4PjjWw+GFhfSJjMmoy3GoFj6kXMsifgFA9q970H9nv4CeFgv/CNfDbw3pRXobXSLOE/XKRA596AP5i7X/gqX+3brE32bSvFEM8p6Jb6LZSN+XkMa77TP20P+CrvibB8Ow+IL4P0+yeD7efP022DV/UXZ2Nlp8AtrC3jtoV6JEgRR9AoAq1QB/NZpvxW/wCC1PiHH2Wx8RQ7unn+HdKsv/R1pHj8a7/TdH/4Lga5hnvLmxjb+KeXw5Dj/gK/P/47X9ClFAH4T6d8E/8Agsvq+Pt3xPsNK3dfPu7Xj/wGs5P0r8gf2tf2Z/i1+zP8RYNF+LtzYajqfia3bVlvdLZ3tJTNM4lUF4YNrq4yyBAAGXHBFf2rV+T/APwV9+Cn/CxP2bYPiRplv5urfDm9W7ZlGXOnXhWC6Ud8B/JlY9ljY0AfjD/wTX+Pup/A39qDw5ZtcbPD/jmeHQtTiY4jP2pwttN6BoZyp3EcIXHAYmv6/q/im/Yu+FfiT4wftOfD7wv4bgMv2TVbXU7yQglILKwlWeeRyOg2rtXONzsq5yRX9rNABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHy3+1z+07Yfsm/DKx+Juq+HLnxNaXOqwabLDayrC8Inhml84sysNoMQXBxksOex+I9A/4LSfsyagFTXvDXijSZT1ItrS4iH/AAJLoOf++K/XueCC5hktrmNZYpVKujgMrKeCCDwQfSvhf43/APBOH9lL43RXF1d+E4/CetzAkaloG2wkDn+J4FU28hJ+8XiLHswzmgDg7L/grP8AsVXcJln8TajZsBny5dJuyxPp+7R1z+OPevxG/wCCkH7Ynhj9rP4j6B/wr+2uIvCng+1ngtZrtPKmubi7dWnl8vJ2R4jjVAfm+Uk4yAM/9sH/AIJ1/Fr9lSKTxdDMvi7wEZAg1a2jMclqXO1FvIMsYtxOA6s0ZOAWVmC18CaVpWp65qdroui2kt/f30qQW9vAjSSyyyHaiIiglmYkAADJNAH72/8ABDWxn3/GXU2UiEjQIVbHDN/p7MAfUDbn6iv6AK+Fv+Cev7MN/wDsvfs/2nh3xQip4t8RXDarrCqwcQTSKqRWwYcHyYlUNgkeYXIJUg1900AFFFFABRRRQAUUUUAfgn+1N/wSo+OXx0/aA8Z/Fnwx4o8OWOl+JLtLiCG8mvFuEVYY4yHEdq6g5Q9GPFfP/wDw5P8A2kP+hz8J/wDf+/8A/kOv6bKKAP5k/wDhyf8AtIf9Dn4T/wC/9/8A/IdH/Dk/9pD/AKHPwn/3/v8A/wCQ6/psooA/mT/4cn/tIf8AQ5+E/wDv/f8A/wAh0f8ADk/9pD/oc/Cf/f8Av/8A5Dr+myigD8s/+Cdn7B/j79kLXfG2v/ETWdJ1e58Q21la2f8AZbzv5aQvK8/mGeGHG4mPbtz0OccZ/UyiigAooooA8C/aH/Zp+E/7TvgpvBXxS0z7QsRZ7O+gKx31jKwwZLeYq23OBuVgyNgblOBj8JPiZ/wRs+Pfg7xCNU+B/izT/EVjE3mW7XMr6XqMLA5UcB4iR2dZFyedq1/SxRQB/Ltf/wDBO/8A4KUfEiCPw94/1We40yEBUXWfExvLZQpyNsaS3BAB5HycfWvvP9lz/gkJ8P8A4Y6rp3jj476tH441uyZZo9Kgj26PFKOnm+YPMutp5AZY0PRo2FfstRQA1ESNFjjUKqgAADAAHQAU6iigAr8YP27v+Cb3xg/am+On/C0fBHiLQtM03+y7Sx8nUZbpJ/Mt2kLNiG3lXad4x82fav2fooA/mT/4cn/tIf8AQ5+E/wDv/f8A/wAh0f8ADk/9pD/oc/Cf/f8Av/8A5Dr+myigD+ZP/hyf+0h/0OfhP/v/AH//AMh0f8OT/wBpD/oc/Cf/AH/v/wD5Dr+myigD+ZP/AIcn/tIf9Dn4T/7/AN//APIdfaf7Bv8AwTZ+KH7Lvxxl+KnxE1/RNWs4tJurO2i02S5eZbm4eLDsJreJQgjWQEhickcYyR+zNFABRRRQBjeIfDug+LdEvfDXijTrfVtJ1GNobm0uolmgmjbqrxuCrA+hFfit+0B/wRi8GeJr+68Q/s9+Jv8AhFZrhi/9kaoHuLBSe0Nwm6eJB6Osx9CBgV+4VFAH83el/sjf8FbPhZCnhvwH4yvLrSrbEUK2fiVTaIn/AEyivXjKKPQIp9BWfr37FH/BVT4ywLo/xN8WXA06c7ZINS8Sb7QBupeC0aZW/BGPpX9KlFAH4XfA3/gix4V0TUYNa/aA8XnxIkWGOk6Oj2ts7DqJbtyJnQ+iJE3fd2r9qvBngvwn8O/DGn+DPA+k2+iaHpUYitrS1QRxRoOeAOpJyWY5LEkkkkmunooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAP5Rv+Cvk3mftjXqf88tE0xfzV2/rX6Kf8ESZM/Avx9D/d8Rhv8AvqzhH9K/NP8A4K03HnftqeJI8/6jTtJT87VH/wDZq/Q3/giDf+Z8M/idpef+PfV7KbH/AF2t2X/2nQB+4lFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABX8o3/AAV8m8z9sa9T/nlommL+au39a/q5r+S7/grTced+2p4kjz/qNO0lPztUf/2agD9LP+CJMmfgX4+h/u+Iw3/fVnCP6V+0tfh3/wAEQb/zPhn8TtLz/wAe+r2U2P8Artbsv/tOv3EoAKKKKACiiigAooooAK/mc/bo1bX/ANtP9vvQf2cvA85fTvDMy6Esi/PHDNnz9WuiP+mKqUcd/IwOTX7nftc/tAab+zP8BfEvxRuWRtSgi+yaTA/SfUrkFbdMd1U5kcf880avg7/glT+ytqXgzwvfftQ/FCN5/GnxCR5LH7QMywadcP5rTtn/AJa3j4kJ6iMLgjewoA/WDwX4Q0D4f+EdG8DeFbYWej6BZwWNpCP4IbdAiAnucDk9Sck8101Fc/4k8WeFvBunNrHi/WbLQ7BPvXF9cR20Ix6vKyqPzoA6Civzz+Lf/BUH9kP4VwSxWfilvG2pJnba+H4/tYJ7E3LFLbGfSUnHIBr8x/H3/BWv9pv4xalL4U/Zp8BjRHmyI2t7aTXdWIPAZUEfkrn+6YXwejUAf0CfEj4rfDf4P+HpPFXxP8SWPhrS48gTXsyx+YwGdkSffkf0RAzHsK/Ez9pf/gsvYpbXnhb9l/R3kuGzH/wkOrRBUTtvtbJslj3Vp9oB+9E1fNHhr/gnH+3T+1H4hHjv466m+g/a8FrzxJdtcX3lE52w2cRdowvaJzCo7Y4r9OvgV/wSQ/Zs+Fc9vrXj43PxJ1iHBH9pKsOnK47rZRkhge6zSSr7UAfz/eCvg5+1V+2p43uvEmj6Zq3jbU72Xbd6zfOVtIsfwyXcxWJAgPyxKcgDCJ2r9gPhl/wRR8FQ+Bb2P4veNru48X30OIH0dVSw0+XqDiZPMuuRgk+UCpIABw4/cLS9K0vQ9Ot9I0Szh0+wtEEcNvbxrFDEg6KiIAqgdgBir9AH8X/7Uf7FPxr/AGU9ZZPGun/2l4ank2Weu2Ss9lNn7qyHGYJSP+WcmMkHYXUbq7j4C/8ABSL9qT4CWVtoOm6+ninw/a4WPTtdRrxI0HG2KcOlxGoHCqJNi9l7V/X1qWmabrWn3Gk6xaRX1jdoY5oJ41lilRuCrowKsp7gjFflD+0X/wAEivgX8UWuPEHwguG+G2vSkuYIEM+kyseebYsGhz0HkuEUf8szQBxXwi/4LR/BnxGkVj8YvC2o+DbwgBrqyI1OyJHViFEc6Z7KI5Mf3q+9fA/7cf7I/wARPLXw18VNEEsuNkV/cf2bKxPYR3ohcn2AzX81Xxl/4JoftbfBzz72TwofF+kw5P23w8xvxtHc24VbpcDkkxbR/er4MurW6sbmWzvYXt7iBikkcilHRl4KspwQR3BoA/vm07U9N1i0j1DSbuK9tZRlJYJFkjYezKSD+dXq/gT03UdV064WXSLqa1nYgBoHZHJ7YKkGv2v/AGa/2CP29/Gmj2XifxJ8Wdb+EulXapJDC2p38upGJhkMbSGeJY8j+GSVHB+8goA/o9oqOJDHEkbMXKgAsepx3qSgD5h8T/tnfsweCPiLqnwo8Z/EGw0HxPozRLdW9+s1tHGZ4kmT/SZI1gOUdScSHGcHBr2Xwv8AE/4aeOI0l8FeLdI19JPutp9/b3YP0MTtmvmL9oP/AIJ/fs0/tIalfeJ/Gegy6b4pvwok1nS52t7tiiCNC6NvgkIVVXMkTHAAB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xlkIVRa6bM7FjwABNcS5PpxX6L/ALIOvf8ABUD4k/E/w145+OcqaF8MSJ5byxu7Owsbi5jkt5BCEgSE3ikSmNv3hjGB36Hmf+CdX/BOPxX8C/iDrHxR/aB0mwm1nTEhj8PJDcLdxwyPv+0XJC8CRV2JGSMjc5GDg1+1tABRRRQAUUUUAfJv7dkvk/se/Ft/XQLpf++gF/rX8avhLRF8TeKtG8NvMbddVvbe0MoXcUE8ix7tuRnG7OMjNf2L/wDBQKXyf2M/iu/rpBX/AL6ljX+tfy2/ss/s8fGn4zfEjw7qHw38JXur6bpmqWk13fBPKsoEhmR333MpWIMFBITdvPZSaAP2d/4cifCb/opOt/8AgNbf4Uf8ORPhN/0UnW//AAGtv8K/bqigD8Rf+HInwm/6KTrf/gNbf4Uf8ORPhN/0UnW//Aa2/wAK/bqigD8Rf+HInwm/6KTrf/gNbf4Uf8ORPhN/0UnW/wDwGtv8K/bqigD8Rf8AhyJ8Jv8AopOt/wDgNbf4V/OJcxCC5lgByI3Zc/Q4r+/Wv46vgt/wT2/ag+P2qPdaH4Wk8O6E8zhtV1wPY22NxyY0ZTNN35jjZcjBYUAf1O/ss3Yv/wBmT4R3v/PbwjoLH6mwhz+te8V5d8Efh9dfCb4PeC/hhfX66nP4V0iy0x7pEMazG1hWLeqEsVB28Ak16jQAUUUUAFFFFAH8in/BVSYSftxePEH/ACyg0dfz0y2b+tft9/wSU/5Ms8O/9hLVf/Slq/EL/goxofiPx7+3/wDETQPCGl3Wt6rdTaVBBaWUL3E8rR6VaIQkcYZmPHYV/QF/wTl+E/j/AOC/7K3h7wR8TNJfRNdS6vrp7SR43kjjuZ2kj3+WzBWKkEqTlejAHIoA+6K+Tf27P+TPfi3/ANgC6/kK+sq8r+N/wwg+NPwj8WfCm51BtJj8U2EtibtIxM0Hmj74jLKGx6bhn1FAH8of/BM//k+H4X/9fGo/+m26r+xCvkL9mz9h/wCAH7L9tFd+BdEGoeJAhWXXNR23GoNuGGEbYCwKRwViVcj7xY819e0AFfwjR2V5qPxW+wafBJdXNxrJSOKJS8jsbjhVVckk9gK/u5r5i+BH7H3wE/Z1luNU+Hnh1G168eR59YviLnUZPNJLKJioESHOCkSopwMgnmgDsf2g/jz4N/Zs+GN98V/HlrfXmkafNbwSRadEk1wWuZBGpCySRJgE5Ylxx0ycA/DNj/wWI/ZBu1DXA8Q2RPabTUJH/fqdxX6mzQw3ML29xGssUgKsjAMrKeCCDwQa/P39pn/gm9+zz8f9EvbrRNCtfBHjHynNrqmlQrbRtNglftdvGBHMhbG5tolx91x0oA/HH/gpZ+3R8NP2qdO8I+C/hRaXx0vw/cXF7c3l9EtuZZpUEcaRRhmbaq7izNtySABxmvov/ghrHIdQ+MswU7BFoCk9slr8gfoa/Gi++BnxUtvixq3wS0/w7d6x4w0a+m0+ay0+F7lzLBIY2ddi5MR+8HIC7SGJAr+qH/gnX+yTqf7KXwaubLxiY28Z+LbhL7VViYOlssabLe0Drw/lAszMON7sFJUBiAfoBRRRQAV/NP8A8FHf+Cck/wALJ9R+PPwJ09pvBkzNPq+kwqWbSWY5aeFRybQnll/5Y/8AXP7n9LFMkjSVGilUOjghlIyCD1BB7UAfkx/wSz/Y2s/gv8N7f43eObEHx140tlltllX59N0uUB44wD92WcYklPULtTgh9361UgAUBVGAOgpaACvOfir8Jfh58bPBd78P/idosGu6JfDLQzAho5ACFlikXDxyLk7XQhhk84JB9GooA/mE/ad/4JFfF/4b3d14k+Asj+P/AA0WZxZHZHq9qnUKY/lS5AHG6LDk/wDLIDmvz78K/Gn9pX9njVJfDvhvxX4i8D3Vi+JtMaa4tkRx2ls5fkz/AL0df2/1wnjv4XfDb4oaf/ZXxH8LaZ4ntACFj1G0iugme6eYrFT7rgigD+Wrwr/wVp/bP8OIkepeINN8RqnT+0dLgBIHYm0FuT9Sc+9e4aT/AMFsv2gIABrngfwxeEdTbre2+f8Avq5mr9SvGv8AwSs/Yv8AGMj3Fr4SufDc8mdz6VqFxEMn0imaaJf+AoBXzX4g/wCCJPwSundvC3j/AMQ6ap6LdpaXmPxSO3yP85oA+f7b/guF46VQLv4VabK3cpqcyD8jC1aS/wDBcfxEFw/wgtS3qNakA/L7Ia1NU/4IbXAZm0T4xIynolxoRUj6ul6c/wDfIrh73/giF8UY8/2d8TNGn9PNs7iL/wBBMlAF27/4LgfEB8/YPhbpcPp5mozyfyjSuYu/+C23xzfP2HwD4ch9PMN5J/KZKqXP/BEz9oJc/ZPHHheX/fe9T+Vs1ZEv/BFP9qAf6nxZ4Of/AHrzUF/9x5oAxta/4LM/tX6kCum6V4X0kdjBYXMjj8Z7uRf/AB2uN0H/AIKJ/wDBRD4yeKLPwR8OvEcl3rGqMUgsdJ0aweV8DJOXt3ZVUZLOWAUAliACa78/8EWf2qh08SeDz9L6/wD/AJX1+pX/AATo/YV1/wDZKsvFevfEx9J1LxfrssVvb3WmvLOsGnRKGMYkmhhZTLKcuoXBCISTjAAJv2SfgV+3b4d8d2PxH/ac+LI1LTBbTK/huKT7SGeZML5zRpFAjxN837vzAcYDYJr9NKKKAK93C1xazQI5jaRGUMDgqSMZB9q/gn8T+HNb8H+JNV8J+JLV7LVtGuprO7gk+9FcW7mORD7hlIr++Cvhj9pX/gnn+zt+05qr+KvE9hc+H/FEihZNV0d0gmuNvC/aEdJIpSBxuKb8YG/AAABwn/BJ2WOT9ifwmkZy0V9qyt9ftsrfyIr9CPEfiPQPCGhX3ifxTqNvpOkabE01zd3UiwwQxr1Z3YgAfU1+dV18Uf2Zv+CXfwU0/wCEs+v3fiLVojPd2ulq0U2q3k105cvIsYSOCEnhXfHyjC+YwIPwX4l+G37en/BTLWra/wDGdj/wqj4UQyiW0tL0SxRFf4ZRbsFnvZtp+WR1jh6+WUyQQDyn9ur9vrxb+1X4jT4Afs7Q3svgy6uFtyLWKT7d4guN3yqIgPMFuG5SLG5z88gHCr+gn/BO/wD4JzQfABbb4yfGaCK7+Ik8Z+x2QKyw6NHIMN8wyr3TKSGdSVQEqhOSx+sv2XP2H/gf+yppyT+DdOOq+KZY/Lutevwsl7JuHzLFgbYIj/cjAJGN7ORmvsOgAoqG4uILSCS6upFhhhUu7uQqoqjJZieAAOST0r8Vf2n/APgoH4++LPiC9/Z0/YM0u88Va7choL7xFp8ZdIEJ2v8AYn4RF7G8kZUXrGTlZAAbH/BSX/godY/CnStR+A/wR1RZvHN6rQarqVs2Ro8TDDxRuOPtbA445hGTxJt2/Dv/AATy/wCCc+tfG3U9N+N3xrtHsvAFvKtzZWM6kTa46HcCwPK2hP3mPMo+VflJcfZ/7IX/AASZ8O+DLi2+JP7ULw+K/ErN58eiK3nafbyE7t125/4+5M9V/wBUDnPmggj9poIIbaGO2to1iiiUIiIAqqqjAAA4AA4AFACxRRQRJBAgjjjAVVUAKqgYAAHAAFflL+0J/wAFLvFv7OXxJ1zwf4y+BeryeH9OuTDZa79seC2v48AiSLzLPy8EnGFmbkdc1+r1QXVrbXtvJZ3sKXEEylJI5FDI6nghlOQQe4NAH4h/8Pvvhn5Jb/hWOr+bjhfttvtz/vbc/pX5Kftq/tk+Jv2xfHWl+INQ0hPDuheHoJLfTNOWY3DR+ewaaWSUqgaSTYgOFUBUUckFj+wH/BQD/gmj8Nta8Ba78ZvgJpMPhfxJoEE+o3+mWilbLUbaFDJN5MC5WGdVUsgjAR+VK7mDD8NP2e/2YPjD+0z4sh8M/DHRJbm3WRVvNTlVk0+xRjy885G0EDkIuZGx8qk0Aft5/wAERNAvrX4WfErxRLEVtNR1m0tInPRns7cvIB9BcL+dft7Xh/7OfwJ8Lfs3fCDQfhJ4Ubz4dJjLXN0yBJLy8lO6e4cAnBdj8q5O1AqAkKK9woAKKKKACvlz9rX9ljwR+1j8LrjwN4mC2Wr2m6fR9UVN0thd4xnsWikwFljzhlwRhlVl+o6KAPn/APZi/Z78K/syfB3RfhX4XCzPaL52oXm3a99fygefcMOvJAVASdsaquTjNZv7Wn7Qmj/syfAvxD8UtQKS6hBH9l0q2c/8fWpTgiCPHBKggySY58tGI5FfSVfgh8bPAvxY/wCCkv7W+o/Di3ivPDHwd+EF/Lpt9eTRtEZbtGAuWiRxh7mbG2LORFCFkYAvtcA8Z/4JYfsuax8a/ixfftU/FWKS90nQL+S5sZLkf8hLXZHMrXGT95bZj5hPeYpgnY4r+lWuV8D+CfC3w38I6T4E8E6fHpWh6HbpbWltEMLHGg9TyzE5ZmJLMxLMSSTXVUAFFFFABXgX7TV38e7H4Qarc/s0Wdtf+PUltjaQ3RhEbRCVTOB9oeOLcY8gbmHtzivfaKAP57/Ff/BRf/goj8CUz8b/AIO6fbWMbBDez6ZfW8LseMC7iuXtiT2C1DpX/BcfX4YwNb+D9tdv3Nvrb24/J7Ob+df0HXdnaahay2N/AlzbXClJIpVDo6MMFWVsggjqDX48fttf8EtPh98RdA1L4jfs86ZD4W8Y2MMk7aPZxrHp+qbAWMccQwtvO3RCmI2OAygneAD8Lf2tf2nPEf7Wfxdl+KXiDTItEjis4dPsrGGQzC3tIGeRVaVlQyMZJXYttUfNgAAV/RP/AMEitLuLD9jPSbuYYTUtX1S4j/3FlEJ/8eiav59f2Zv2LPjd+094qXSPCmkS6VoVrOYtR1q+ieOzs9hxImSAZZl6CFPmzjdsXLD+v74RfDHw58GPhl4b+FnhJCuleGrKK0iZgA8pUZkmfGBvlctI+BjcxoA9GoJAGTwBRRQB4kf2mP2cAcH4reEwR/1HbD/49Sf8NMfs3/8ARVvCf/g9sP8A49X5xftT/wDBJPwl8a/iaPiJ8K/EFv4CGrs8ms2htDcW7zsc/aLaNHjCO5z5ibgpPzDBLZ5fw9/wRG+DttbIviv4i69qNwPvvZQWtkh+iSJckf8AfRoA/UX/AIaY/Zv/AOireE//AAe2H/x6vwN/4LIfEb4efEPxz8NZ/h/4o0rxNHZadfrcNpd9BerCXmjKCQwO+0tg4zjODjpX3Mn/AARY/ZXVQG8S+MWI6n7dYDP/AJT6d/w5a/ZV/wChj8Yf+B1h/wDK+gDx7/gj58XPhT8PvgN4w0vx7400Xw1e3HiWSaKDU9RtrOV4jZWy71SaRGK7lIyBjII7V+tf/DTH7N//AEVbwn/4PbD/AOPV+ev/AA5a/ZV/6GPxh/4HWH/yvo/4ctfsq/8AQx+MP/A6w/8AlfQB9GftWftB/APXf2ZPivouifErwzqGoX/hbWILe2t9ZspZppZLSRUjjjSUszMSAFAJJ4Ffyx/svappuiftLfCbWdZu4bDT7DxZoU9xc3EixQwwxX8LPJJI5CoiqCWYkAAZJr+hD/hy1+yr/wBDH4w/8DrD/wCV9H/Dlr9lX/oY/GH/AIHWH/yvoA/Qr/hpj9m//oq3hP8A8Hth/wDHqP8Ahpj9m/8A6Kt4T/8AB7Yf/Hq/PX/hy1+yr/0MfjD/AMDrD/5X0f8ADlr9lX/oY/GH/gdYf/K+gD9Cv+GmP2b/APoq3hP/AMHth/8AHqP+GmP2b/8Aoq3hP/we2H/x6vz1/wCHLX7Kv/Qx+MP/AAOsP/lfR/w5a/ZV/wChj8Yf+B1h/wDK+gDrP21/+ClPw3+CHgn+xvgnrumeM/HWtxMLWSxuIr6y02M5U3Fw8TMjOD/q4c5J+ZwEGG/Cf9mL9ub4v/s8/F+++JF5qNz4osPFFz5viOxu5i39obmy0wds7LhMny5P+AkFCRX7Wf8ADlr9lX/oY/GH/gdYf/K+j/hy1+yr/wBDH4w/8DrD/wCV9AH6VfB74w+APjv4A0z4lfDXU11PRtTXg/dlglXG+CdMkxyxk4ZT7EEqQT6dXxT+zF+wx8OP2Tdd1LV/hj4s8T3Frq8Qju9N1K7tZrCZlPySmOK0iYSpyFdWBwSDkHFfa1ABX8+3xV/4JF+NPiP+1T4s1Xw7qdp4U+F+rzLqsd4QJ51lvCXuLS3tVZeY5dxBcoixsm0sQVH9BNFAHwb8Ef8Agm3+yj8Ekt7y38Kp4t1uHBOo6/tvn3jukBUW0eDypWLcP7xxmvu6GGG3hS3t0WKKJQqIoCqqgYAAHAAHQVJRQAUUV5t8YfGHif4f/C7xP428GeHZPFutaJYzXdtpUTmOS7eIbiilVdicZIVVLNjaoyRQB1nibxR4b8F6FeeKPF2qW2jaRp0Zlubu8lWCCJB3d3IUenJ5PFfgv+1t/wAFVPEHjq/b4N/sa295PPqL/ZG16K3ka9uXf5fL0y3wZFLdBKy+Z/cRSA5ni/ZH/bg/b41218a/tWeIG+HPgtZPOs9CSMiWJD08nT92InIyplunMw/usuBX6v8A7PX7HnwD/ZksQnwx8OImrvH5c+sXpFzqU4PUGdgNit3SJUQ9dueaAPxw/Zd/4JE+MvG93D8Q/wBq3UJ9ItLt/tLaJBN5mp3TOd5N5c/MId5OWVS0pyctGwr+gHwN4D8G/DTwvY+CvAOj22g6HpqbLe0tYxHGg7k45ZmPLMxLMcliSSa62igAooooA4X4k/DXwT8XvBWqfDz4iaVFrOg6vEYri3lH4q6MMMkiHDI6kMrAEEGv5cf21f8Agm38Rf2abm78b+A1uPF3w4LFvtaJvvNNU9FvUQYKDoJ1AQ/xCMlQf6yKRlV1KOAVYYIPIINAH8G3gv4h+OPh1dX974G1y60SXVLOfT7s20hQXFpcoY5YZV6OrKTwQcHDDDAEet/sheOovhr+0/8ADHxlcsI7ay16yjuHJwEt7qQW8zf8BjkY1/R1+0n/AMEsP2e/jpcXPiTwijfDnxRPuZ7jS4UaxnkP8U9llUznktE0RJJLbjX40/FH/gk/+138PL528MaPaeOdOVspdaRdRpIB2329yYZQ3qEDgf3jQB/WXXyT8T/26f2WPgx4zvfh78TvGp0HxBp4jaa2l0vUnwsqh0ZZIrV43VlIwyMR1GcgivcPg/ceNbv4UeDrn4k2hsfFkmj2J1aBmVzHf+Qn2gEoWUnzN3Qke5rw39q/9jL4T/tceH7Gw8brLpetaS4NlrFkEF3DEWzJC28FXifn5W+63zLg5yAcD/w88/YY/wCinR/+CrVf/kOj/h55+wx/0U6P/wAFWq//ACHXlvhH/gkD+x74dtxHrlrrXiiXAy9/qTQ898CyS3AH1z9a9St/+CYf7DVtGI1+GSP7vququT+Ju6AD/h55+wx/0U6P/wAFWq//ACHR/wAPPP2GP+inR/8Agq1X/wCQ6n/4dl/sOf8ARMIf/Blqf/yXR/w7L/Yc/wCiYQ/+DLU//kugCD/h55+wx/0U6P8A8FWq/wDyHR/w88/YY/6KdH/4KtV/+Q6n/wCHZf7Dn/RMIf8AwZan/wDJdH/Dsv8AYc/6JhD/AODLU/8A5LoA/GT/AIKtftMfBD9o7V/htcfBjxKPEcegwaqt6VtLq18prlrYxD/SoYt27y2+7nGOcZGfTv8Aglj+1v8As9fs7/DDxl4f+Mni1fDuoarrEd1bRNZ3lz5kIt0QtutoJVHzAjBIPtX6m/8ADsv9hz/omEP/AIMtT/8Akuj/AIdl/sOf9Ewh/wDBlqf/AMl0AQf8PPP2GP8Aop0f/gq1X/5Do/4eefsMf9FOj/8ABVqv/wAh1P8A8Oy/2HP+iYQ/+DLU/wD5Lo/4dl/sOf8ARMIf/Blqf/yXQBB/w88/YY/6KdH/AOCrVf8A5Do/4eefsMf9FOj/APBVqv8A8h1P/wAOy/2HP+iYQ/8Agy1P/wCS6P8Ah2X+w5/0TCH/AMGWp/8AyXQB8S/tof8ABWLwLbeBv+EN/ZQ1ptX17W43S51v7NcWyaZCflIgS5jidrhv4X27Yx8wJbG3+e7RPFvifw54otPG2h6pcWWv2N0t7DfRyMLhLlW3iXf1LbuST171/XX/AMOy/wBhz/omEP8A4MtT/wDkuj/h2X+w5/0TCH/wZan/APJdAGF+wL+3JoP7WHgr+w/Ejw6d8SdAhX+07NcIl5EMKL22X+4xIEiD/VucfdZCf0Mr5D+Hv7Bv7KHwp8Yab4/+HngUaJ4g0hzJa3cOpakWQspVgVe6ZGVlJVlZSrAkEEV9eUAfkD/wUg/4J53vx/Nx8cPhG8j+PrK2SO70yWQmLU7e3XCCDecRToowFGEk74fLN8If8Evv2GR8VfG198YvjFpDr4Z8FXrWltpl5EyfbNXgILrNG4BMVqcb0YYaQhDkLIp/ptqOOKKIERIEDEsdoxlmOSeO5PWgCTpwKKKKAOY8ZeC/CnxD8Mah4M8caVb63oeqxGG6tLpBJFIh55B6EEAqwwVIBBBANfz3/tV/8EfPFvh25vfGX7MNz/b+kEtIfD95KFv7cdSttO5CToOyuVkAwMyNzX9G9FAH8Tfhj43/ALVv7Lusy+EtF8TeIvAt5YNiTSboyxxRnPVrG6DRc9iY+a+vPCP/AAWH/a68OokWujQPFIAAZ77TmhkPvmylt1B/4Dj2r+mf4g/Cb4Y/FjTP7H+JnhXTPE9oAQiahax3Bjz1MbOpZD7qQfevzu+IP/BH79kvxfNNd+GBrPgyaQllTT70T26sfWO8SdseyyL7YHFAHxLov/BcHx5Aq/8ACRfCvTb1h942upTWoP0DxT4/Wtrw7/wWV+HOh6xq3iWy+AMOlaxrzpLqN3Z6rD5928ahFaaUWEbyFVUAbicVY8Sf8EOtQWSSXwf8W4pYyTsiv9IaMqPQyxXLZ+ojH0rxDW/+CLH7TNk5bRPFHhbUoh03XN5BIf8AgJtGX/x+gD6jT/guH4LI/efCjUFPtqsR/wDaAqrN/wAFxvDC/wDHv8Irx/8Ae1iNf5WrV8S33/BIT9se0z5Fhol7j/nlqaDP/f1Erlrn/glJ+27BnyvBdrcY/wCeer6eP/Q51oA+5L//AILlHbt0z4NYP96bX+P++Vsf/Zq4XUf+C33xNlz/AGT8MtHtvTz724n/APQVir48l/4Jcft0x5x8Nd4HddZ0g/8At5mqLf8ABMj9uRDg/DCX8NU0s/yu6APobW/+C0P7Ueobk0jw/wCFtKQ9GWzu5pB+Ml2VP/fFeifBb9o//gq5+1lOZPhPqNvpWiCQxTas+mWFtp0JH3h59xBM7svGVhDuMjIryX9mz/glt8fta+NXhq1/aA8EXGieAYpXn1SYX9m5kSGNnjgAt55JAJpAsbFQCFLEEEA1/ULoeh6L4Z0iz8P+HLCDS9M0+NYba1to1hhhjQYVERAFVR2AFAFHwdZeINN8I6Jp3i29XU9ctbG2iv7tBtS4u0iVZpVAC4DuCwG0deg6V0dFFABRRXF/EfxkPh34C8QePG0q71xPD9lPfPZWCo91OkCF2WJXZAzYBIGcnoMnAIB2lFfidqP/AAUG/bX+Lmbf9m39nK+tLSb5YtS1iC5uI2B6MH22lujexlkA6nIrzrW/2Y/+CsX7SEL2nxc+IFp4M0a64msFv0tozGf4DDpEbpKPaWQ57nNAH6h/Gz9uH9mL4BefaeOvG1rNq8GQdL00/b7/AHj+B4odwiP/AF2aMe9fjZ8ev+CwnxV+Idy3g79mfw6/haC8byYr65jW91icvwBDAu+GFjnGMTNnlWU19UfCf/gi38FPDnk33xc8Van4zulwWtrQLpdkfVW2mWdgOmVlTPoK/TP4V/s4/An4IxKnwr8D6X4emVdhuYLdWvGU8Ye6k3zuP95zQB/OD8KP+CZX7Xn7SGuP48+LtxL4Qt9WfzrnUvEbyXGq3G7qwtCxmLD0naLjoa/cX9mD/gn38Af2YBBrWi6efEvi9Bk65qipJPG3f7LGB5duOvKAyYOGdhX3JRQAUUUUAFFFFAHyl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LSv/BVff/LKv1G/4TzxR/z9j/v2n/xNH/CeeKP+fsf9+0/+JoA/Ln/hrL/grf8A9EC0r/wVX3/yyo/4ay/4K3/9EC0r/wAFV9/8sq/Ub/hPPFH/AD9j/v2n/wATR/wnnij/AJ+x/wB+0/8AiaAPy5/4ay/4K3/9EC0r/wAFV9/8sqP+Gsv+Ct//AEQLSv8AwVX3/wAsq/Ub/hPPFH/P2P8Av2n/AMTR/wAJ54o/5+x/37T/AOJoA/Ln/hrL/grf/wBEC0r/AMFV9/8ALKj/AIay/wCCt/8A0QLSv/BVff8Ayyr9Rv8AhPPFH/P2P+/af/E0f8J54o/5+x/37T/4mgD8uf8AhrL/AIK3/wDRAtK/8FV9/wDLKj/hrL/grf8A9EC0r/wVX3/yyr9Rv+E88Uf8/Y/79p/8TR/wnnij/n7H/ftP/iaAPy5/4ay/4K3/APRAtK/8FV9/8sqP+Gsv+Ct//RAtK/8ABVff/LKv1G/4TzxR/wA/Y/79p/8AE0f8J54o/wCfsf8AftP/AImgD8uf+Gsv+Ct//RAtK/8ABVff/LKj/hrL/grf/wBEC0r/AMFV9/8ALKv1G/4TzxR/z9j/AL9p/wDE0f8ACeeKP+fsf9+0/wDiaAPy5/4ay/4K3/8ARAtK/wDBVff/ACyo/wCGsv8Agrf/ANEC0r/wVX3/AMsq/Ub/AITzxR/z9j/v2n/xNH/CeeKP+fsf9+0/+JoA/Ln/AIay/wCCt/8A0QLSv/BVff8Ayyo/4ay/4K3/APRAtK/8FV9/8sq/Ub/hPPFH/P2P+/af/E0f8J54o/5+x/37T/4mgD8uf+Gsv+Ct/wD0QLSv/BVff/LKj/hrL/grf/0QLSv/AAVX3/yyr9Rv+E88Uf8AP2P+/af/ABNH/CeeKP8An7H/AH7T/wCJoA/Ln/hrL/grf/0QLSv/AAVX3/yyo/4ay/4K3/8ARAtK/wDBVff/ACyr9Rv+E88Uf8/Y/wC/af8AxNH/AAnnij/n7H/ftP8A4mgD8uf+Gsv+Ct//AEQLSv8AwVX3/wAsqP8AhrL/AIK3/wDRAtK/8FV9/wDLKv1G/wCE88Uf8/Y/79p/8TR/wnnij/n7H/ftP/iaAPy5/wCGsv8Agrf/ANEC0r/wVX3/AMsqP+Gsv+Ct/wD0QLSv/BVff/LKv1G/4TzxR/z9j/v2n/xNH/CeeKP+fsf9+0/+JoA/Ln/hrL/grf8A9EC0r/wVX3/yyo/4ay/4K3/9EC0r/wAFV9/8sq/Ub/hPPFH/AD9j/v2n/wATR/wnnij/AJ+x/wB+0/8AiaAPy5/4ay/4K3/9EC0r/wAFV9/8sqP+Gsv+Ct//AEQLSv8AwVX3/wAsq/Ub/hPPFH/P2P8Av2n/AMTR/wAJ54o/5+x/37T/AOJoA/Ln/hrL/grf/wBEC0r/AMFV9/8ALKj/AIay/wCCt/8A0QLSv/BVff8Ayyr9Rv8AhPPFH/P2P+/af/E0f8J54o/5+x/37T/4mgD8uf8AhrL/AIK3/wDRAtK/8FV9/wDLKj/hrL/grf8A9EC0r/wVX3/yyr9Rv+E88Uf8/Y/79p/8TR/wnnij/n7H/ftP/iaAPy5/4ay/4K3/APRAtK/8FV9/8sqP+Gsv+Ct//RAtK/8ABVff/LKv1G/4TzxR/wA/Y/79p/8AE0f8J54o/wCfsf8AftP/AImgD8uf+Gsv+Ct//RAtK/8ABVff/LKj/hrL/grf/wBEC0r/AMFV9/8ALKv1G/4TzxR/z9j/AL9p/wDE0f8ACeeKP+fsf9+0/wDiaAPy5/4ay/4K3/8ARAtK/wDBVff/ACyo/wCGsv8Agrf/ANEC0r/wVX3/AMsq/Ub/AITzxR/z9j/v2n/xNH/CeeKP+fsf9+0/+JoA/Ln/AIay/wCCt/8A0QLSv/BVff8Ayyo/4ay/4K3/APRAtK/8FV9/8sq/Ub/hPPFH/P2P+/af/E0f8J54o/5+x/37T/4mgD8uf+Gsv+Ct/wD0QLSv/BVff/LKj/hrL/grf/0QLSv/AAVX3/yyr9Rv+E88Uf8AP2P+/af/ABNH/CeeKP8An7H/AH7T/wCJoA/Ln/hrL/grf/0QLSv/AAVX3/yyo/4ay/4K3/8ARAtK/wDBVff/ACyr9Rv+E88Uf8/Y/wC/af8AxNH/AAnnij/n7H/ftP8A4mgD8uf+Gsv+Ct//AEQLSv8AwVX3/wAsqP8AhrL/AIK3/wDRAtK/8FV9/wDLKv1G/wCE88Uf8/Y/79p/8TR/wnnij/n7H/ftP/iaAPy5/wCGsv8Agrf/ANEC0r/wVX3/AMsqP+Gsv+Ct/wD0QLSv/BVff/LKv1G/4TzxR/z9j/v2n/xNH/CeeKP+fsf9+0/+JoA/Ln/hrL/grf8A9EC0r/wVX3/yyrirn/goV/wUOh8dWnwoX4Y+Gv8AhOp7UzHRTaXX27cC8vEH9pb9v2ZfN6dMnOOK/Xv/AITzxR/z9j/v2n/xNfjpqev6p/w9/wBI1vzh9s/stvn2r/0BZk6Yx09qAPRf+Gsv+Ct//RAtK/8ABVff/LKj/hrL/grf/wBEC0r/AMFV9/8ALKv1G/4TzxR/z9j/AL9p/wDE0f8ACeeKP+fsf9+0/wDiaAPy5/4ay/4K3/8ARAtK/wDBVff/ACyo/wCGsv8Agrf/ANEC0r/wVX3/AMsq/Ub/AITzxR/z9j/v2n/xNH/CeeKP+fsf9+0/+JoA/Ln/AIay/wCCt/8A0QLSv/BVff8Ayyo/4ay/4K3/APRAtK/8FV9/8sq/Ub/hPPFH/P2P+/af/E0f8J54o/5+x/37T/4mgD8uf+Gsv+Ct/wD0QLSv/BVff/LKj/hrL/grf/0QLSv/AAVX3/yyr9Rv+E88Uf8AP2P+/af/ABNH/CeeKP8An7H/AH7T/wCJoA/Ln/hrL/grf/0QLSv/AAVX3/yyo/4ay/4K3/8ARAtK/wDBVff/ACyr9Rv+E88Uf8/Y/wC/af8AxNIfHnig9LwD/tnH/wDE0Afl1/w1l/wVv/6IFpX/AIKr7/5ZUf8ADWX/AAVv/wCiBaV/4Kr7/wCWVfqJ/wAJ14p/5/f/ACHH/wDE0f8ACdeKf+f3/wAhx/8AxNAH5d/8NZf8Fb/+iBaV/wCCq+/+WVH/AA1l/wAFb/8AogWlf+Cq+/8AllX6if8ACdeKf+f3/wAhx/8AxNH/AAnXin/n9/8AIcf/AMTQB+Xf/DWX/BW//ogWlf8Agqvv/llR/wANZf8ABW//AKIFpX/gqvv/AJZV+on/AAnXin/n9/8AIcf/AMTR/wAJ14p/5/f/ACHH/wDE0Afl3/w1l/wVv/6IFpX/AIKr7/5ZUf8ADWX/AAVv/wCiBaV/4Kr7/wCWVfqJ/wAJ14p/5/f/ACHH/wDE0f8ACdeKf+f3/wAhx/8AxNAH5d/8NZf8Fb/+iBaV/wCCq+/+WVH/AA1l/wAFb/8AogWlf+Cq+/8AllX6if8ACdeKf+f3/wAhx/8AxNH/AAnXin/n9/8AIcf/AMTQB+Xf/DWX/BW//ogWlf8Agqvv/llR/wANZf8ABW//AKIFpX/gqvv/AJZV+on/AAnXin/n9/8AIcf/AMTR/wAJ14p/5/f/ACHH/wDE0Afl3/w1l/wVv/6IFpX/AIKr7/5ZUf8ADWX/AAVv/wCiBaV/4Kr7/wCWVfqJ/wAJ14p/5/f/ACHH/wDE0f8ACdeKf+f3/wAhx/8AxNAH5d/8NZf8Fb/+iBaV/wCCq+/+WVH/AA1l/wAFb/8AogWlf+Cq+/8AllX6if8ACdeKf+f3/wAhx/8AxNH/AAnXin/n9/8AIcf/AMTQB+Xf/DWX/BW//ogWlf8Agqvv/llR/wANZf8ABW//AKIFpX/gqvv/AJZV+on/AAnXin/n9/8AIcf/AMTR/wAJ14p/5/f/ACHH/wDE0Afl3/w1l/wVv/6IFpX/AIKr7/5ZUf8ADWX/AAVv/wCiBaV/4Kr7/wCWVfqJ/wAJ14p/5/f/ACHH/wDE0f8ACdeKf+f3/wAhx/8AxNAH5d/8NZf8Fb/+iBaV/wCCq+/+WVH/AA1l/wAFb/8AogWlf+Cq+/8AllX6if8ACdeKf+f3/wAhx/8AxNH/AAnXin/n9/8AIcf/AMTQB+Xf/DWX/BW//ogWlf8Agqvv/llR/wANZf8ABW//AKIFpX/gqvv/AJZV+on/AAnXin/n9/8AIcf/AMTR/wAJ14p/5/f/ACHH/wDE0Afl3/w1l/wVv/6IFpX/AIKr7/5ZUf8ADWX/AAVv/wCiBaV/4Kr7/wCWVfqJ/wAJ14p/5/f/ACHH/wDE0f8ACdeKf+f3/wAhx/8AxNAH5d/8NZf8Fb/+iBaV/wCCq+/+WVH/AA1l/wAFb/8AogWlf+Cq+/8AllX6if8ACdeKf+f3/wAhx/8AxNH/AAnXin/n9/8AIcf/AMTQB+Xf/DWX/BW//ogWlf8Agqvv/llR/wANZf8ABW//AKIFpX/gqvv/AJZV+on/AAnXin/n9/8AIcf/AMTR/wAJ14p/5/f/ACHH/wDE0Afl3/w1l/wVv/6IFpX/AIKr7/5ZUf8ADWX/AAVv/wCiBaV/4Kr7/wCWVfqJ/wAJ14p/5/f/ACHH/wDE0f8ACdeKf+f3/wAhx/8AxNAH5d/8NZf8Fb/+iBaV/wCCq+/+WVH/AA1l/wAFb/8AogWlf+Cq+/8AllX6if8ACdeKf+f3/wAhx/8AxNH/AAnXin/n9/8AIcf/AMTQB+Xf/DWX/BW//ogWlf8Agqvv/llR/wANZf8ABW//AKIFpX/gqvv/AJZV+on/AAnXin/n9/8AIcf/AMTR/wAJ14p/5/f/ACHH/wDE0Afl3/w1l/wVv/6IFpX/AIKr7/5ZUf8ADWX/AAVv/wCiBaV/4Kr7/wCWVfqJ/wAJ14p/5/f/ACHH/wDE0f8ACdeKf+f3/wAhx/8AxNAH5d/8NZf8Fb/+iBaV/wCCq+/+WVH/AA1l/wAFb/8AogWlf+Cq+/8AllX6if8ACdeKf+f3/wAhx/8AxNH/AAnXin/n9/8AIcf/AMTQB+Xf/DWX/BW//ogWlf8Agqvv/llR/wANZf8ABW//AKIFpX/gqvv/AJZV+on/AAnXin/n9/8AIcf/AMTR/wAJ14p/5/f/ACHH/wDE0Afl3/w1l/wVv/6IFpX/AIKr7/5ZUf8ADWX/AAVv/wCiBaV/4Kr7/wCWVfqJ/wAJ14p/5/f/ACHH/wDE0f8ACdeKf+f3/wAhx/8AxNAH5d/8NZf8Fb/+iBaV/wCCq+/+WVH/AA1l/wAFb/8AogWlf+Cq+/8AllX6if8ACdeKf+f3/wAhx/8AxNH/AAnXin/n9/8AIcf/AMTQB+Xf/DWX/BW//ogWlf8Agqvv/llR/wANZf8ABW//AKIFpX/gqvv/AJZV+on/AAnXin/n9/8AIcf/AMTR/wAJ14p/5/f/ACHH/wDE0Afl3/w1l/wVv/6IFpX/AIKr7/5ZUf8ADWX/AAVv/wCiBaV/4Kr7/wCWVfqJ/wAJ14p/5/f/ACHH/wDE0f8ACdeKf+f3/wAhx/8AxNAH5d/8NZf8Fb/+iBaV/wCCq+/+WVH/AA1l/wAFb/8AogWlf+Cq+/8AllX6if8ACdeKf+f3/wAhx/8AxNH/AAnXin/n9/8AIcf/AMTQB+Xf/DWX/BW//ogWlf8Agqvv/llR/wANZf8ABW//AKIFpX/gqvv/AJZV+on/AAnXin/n9/8AIcf/AMTR/wAJ14p/5/f/ACHH/wDE0Afl3/w1l/wVv/6IFpX/AIKr7/5ZUf8ADWX/AAVv/wCiBaV/4Kr7/wCWVfqJ/wAJ14p/5/f/ACHH/wDE0f8ACdeKf+f3/wAhx/8AxNAH5d/8NZf8Fb/+iBaV/wCCq+/+WVH/AA1l/wAFb/8AogWlf+Cq+/8AllX6if8ACdeKf+f3/wAhx/8AxNH/AAnXin/n9/8AIcf/AMTQB+Xf/DWX/BW//ogWlf8Agqvv/llR/wANZf8ABW//AKIFpX/gqvv/AJZV+on/AAnXin/n9/8AIcf/AMTR/wAJ14p/5/f/ACHH/wDE0Afl3/w1l/wVv/6IFpX/AIKr7/5ZUf8ADWX/AAVv/wCiBaV/4Kr7/wCWVfqJ/wAJ14p/5/f/ACHH/wDE0f8ACdeKf+f3/wAhx/8AxNAH5d/8NZf8Fb/+iBaV/wCCq+/+WVH/AA1l/wAFb/8AogWlf+Cq+/8AllX6if8ACdeKf+f3/wAhx/8AxNH/AAnXin/n9/8AIcf/AMTQB+Xf/DWX/BW//ogWlf8Agqvv/llR/wANZf8ABW//AKIFpX/gqvv/AJZV+on/AAnXin/n9/8AIcf/AMTR/wAJ14p/5/f/ACHH/wDE0Afl3/w1l/wVv/6IFpX/AIKr7/5ZUf8ADWX/AAVv/wCiBaV/4Kr7/wCWVfqJ/wAJ14p/5/f/ACHH/wDE0f8ACdeKf+f3/wAhx/8AxNAH5d/8NZf8Fb/+iBaV/wCCq+/+WVH/AA1l/wAFb/8AogWlf+Cq+/8AllX6if8ACdeKf+f3/wAhx/8AxNH/AAnXin/n9/8AIcf/AMTQB+Xf/DWX/BW//ogWlf8Agqvv/llR/wANZf8ABW//AKIFpX/gqvv/AJZV+on/AAnXin/n9/8AIcf/AMTR/wAJ14p/5/f/ACHH/wDE0Afl3/w1l/wVv/6IFpX/AIKr7/5ZUf8ADWX/AAVv/wCiBaV/4Kr7/wCWVfqJ/wAJ14p/5/f/ACHH/wDE0f8ACdeKf+f3/wAhx/8AxNAH5d/8NZf8Fb/+iBaV/wCCq+/+WVH/AA1l/wAFb/8AogWlf+Cq+/8AllX6if8ACdeKf+f3/wAhx/8AxNH/AAnXin/n9/8AIcf/AMTQB+Xf/DWX/BW//ogWlf8Agqvv/llR/wANZf8ABW//AKIFpX/gqvv/AJZV+on/AAnXin/n9/8AIcf/AMTR/wAJ14p/5/f/ACHH/wDE0Afl3/w1l/wVv/6IFpX/AIKr7/5ZUf8ADWX/AAVv/wCiBaV/4Kr7/wCWVfqJ/wAJ14p/5/f/ACHH/wDE0f8ACdeKf+f3/wAhx/8AxNAH5d/8NZf8Fb/+iBaV/wCCq+/+WVH/AA1l/wAFb/8AogWlf+Cq+/8AllX6if8ACdeKf+f3/wAhx/8AxNH/AAnXin/n9/8AIcf/AMTQB+Xf/DWX/BW//ogWlf8Agqvv/llR/wANZf8ABW//AKIFpX/gqvv/AJZV+on/AAnXin/n9/8AIcf/AMTR/wAJ14p/5/f/ACHH/wDE0Afl3/w1l/wVv/6IFpX/AIKr7/5ZUf8ADWX/AAVv/wCiBaV/4Kr7/wCWVfqJ/wAJ14p/5/f/ACHH/wDE0f8ACdeKf+f3/wAhx/8AxNAH5d/8NZf8Fb/+iBaV/wCCq+/+WVH/AA1l/wAFb/8AogWlf+Cq+/8AllX6if8ACdeKf+f3/wAhx/8AxNH/AAnXin/n9/8AIcf/AMTQB+Xf/DWX/BW//ogWlf8Agqvv/llR/wANZf8ABW//AKIFpX/gqvv/AJZV+on/AAnXin/n9/8AIcf/AMTR/wAJ14p/5/f/ACHH/wDE0Afl3/w1l/wVv/6IFpX/AIKr7/5ZUf8ADWX/AAVv/wCiBaV/4Kr7/wCWVfqJ/wAJ14p/5/f/ACHH/wDE0f8ACdeKf+f3/wAhx/8AxNAH5d/8NZf8Fb/+iBaV/wCCq+/+WVH/AA1l/wAFb/8AogWlf+Cq+/8AllX6if8ACdeKf+f3/wAhx/8AxNH/AAnXin/n9/8AIcf/AMTQB+Xf/DWX/BW//ogWlf8Agqvv/llR/wANZf8ABW//AKIFpX/gqvv/AJZV+on/AAnXin/n9/8AIcf/AMTR/wAJ14p/5/f/ACHH/wDE0Afl3/w1l/wVv/6IFpX/AIKr7/5ZUf8ADWX/AAVv/wCiBaV/4Kr7/wCWVfqJ/wAJ14p/5/f/ACHH/wDE0f8ACdeKf+f3/wAhx/8AxNAH5d/8NZf8Fb/+iBaV/wCCq+/+WVH/AA1l/wAFb/8AogWlf+Cq+/8AllX6if8ACdeKf+f3/wAhx/8AxNH/AAnXin/n9/8AIcf/AMTQB+Xf/DWX/BW//ogWlf8Agqvv/llR/wANZf8ABW//AKIFpX/gqvv/AJZV+on/AAnXin/n9/8AIcf/AMTR/wAJ14p/5/f/ACHH/wDE0Afl3/w1l/wVv/6IFpX/AIKr7/5ZUf8ADWX/AAVv/wCiBaV/4Kr7/wCWVfqJ/wAJ14p/5/f/ACHH/wDE0f8ACdeKf+f3/wAhx/8AxNAH5d/8NZf8Fb/+iBaV/wCCq+/+WVH/AA1l/wAFb/8AogWlf+Cq+/8AllX6if8ACdeKf+f3/wAhx/8AxNH/AAnXin/n9/8AIcf/AMTQB+Xf/DWX/BW//ogWlf8Agqvv/llR/wANZf8ABW//AKIFpX/gqvv/AJZV+on/AAnXin/n9/8AIcf/AMTR/wAJ14p/5/f/ACHH/wDE0Afl3/w1l/wVv/6IFpX/AIKr7/5ZUf8ADWX/AAVv/wCiBaV/4Kr7/wCWVfqJ/wAJ14p/5/f/ACHH/wDE0f8ACdeKf+f3/wAhx/8AxNAH5d/8NZf8Fb/+iBaV/wCCq+/+WVH/AA1l/wAFb/8AogWlf+Cq+/8AllX6if8ACdeKf+f3/wAhx/8AxNH/AAnXin/n9/8AIcf/AMTQB+Xf/DWX/BW//ogWlf8Agqvv/llR/wANZf8ABW//AKIFpX/gqvv/AJZV+on/AAnXin/n9/8AIcf/AMTR/wAJ14p/5/f/ACHH/wDE0Afl3/w1l/wVv/6IFpX/AIKr7/5ZUf8ADWX/AAVv/wCiBaV/4Kr7/wCWVfqJ/wAJ14p/5/f/ACHH/wDE0f8ACdeKf+f3/wAhx/8AxNAH5d/8NZf8Fb/+iBaV/wCCq+/+WVH/AA1l/wAFb/8AogWlf+Cq+/8AllX6if8ACdeKf+f3/wAhx/8AxNH/AAnXin/n9/8AIcf/AMTQB+Xf/DWX/BW//ogWlf8Agqvv/llR/wANZf8ABW//AKIFpX/gqvv/AJZV+on/AAnXin/n9/8AIcf/AMTR/wAJ14p/5/f/ACHH/wDE0Afl3/w1l/wVv/6IFpX/AIKr7/5ZUf8ADWX/AAVv/wCiBaV/4Kr7/wCWVfqJ/wAJ14p/5/f/ACHH/wDE0f8ACdeKf+f3/wAhx/8AxNAH5d/8NZf8Fb/+iBaV/wCCq+/+WVH/AA1l/wAFb/8AogWlf+Cq+/8AllX6if8ACdeKf+f3/wAhx/8AxNH/AAnXin/n9/8AIcf/AMTQB+Xf/DWX/BW//ogWlf8Agqvv/llR/wANZf8ABW//AKIFpX/gqvv/AJZV+on/AAnXin/n9/8AIcf/AMTR/wAJ14p/5/f/ACHH/wDE0Afl3/w1l/wVv/6IFpX/AIKr7/5ZUf8ADWX/AAVv/wCiBaV/4Kr7/wCWVfqJ/wAJ14p/5/f/ACHH/wDE0f8ACdeKf+f3/wAhx/8AxNAH5d/8NZf8Fb/+iBaV/wCCq+/+WVH/AA1l/wAFb/8AogWlf+Cq+/8AllX6if8ACdeKf+f3/wAhx/8AxNH/AAnXin/n9/8AIcf/AMTQB+Xf/DWX/BW//ogWlf8Agqvv/llR/wANZf8ABW//AKIFpX/gqvv/AJZV+on/AAnXin/n9/8AIcf/AMTR/wAJ14p/5/f/ACHH/wDE0Afl3/w1l/wVv/6IFpX/AIKr7/5ZUf8ADWX/AAVv/wCiBaV/4Kr7/wCWVfqJ/wAJ14p/5/f/ACHH/wDE0f8ACdeKf+f3/wAhx/8AxNAH5d/8NZf8Fb/+iBaV/wCCq+/+WVH/AA1l/wAFb/8AogWlf+Cq+/8AllX6if8ACdeKf+f3/wAhx/8AxNH/AAnXin/n9/8AIcf/AMTQB+Xf/DWX/BW//ogWlf8Agqvv/llR/wANZf8ABW//AKIFpX/gqvv/AJZV+on/AAnXin/n9/8AIcf/AMTR/wAJ14p/5/f/ACHH/wDE0Afl3/w1l/wVv/6IFpX/AIKr7/5ZUf8ADWX/AAVv/wCiBaV/4Kr7/wCWVfqJ/wAJ14p/5/f/ACHH/wDE0f8ACdeKf+f3/wAhx/8AxNAH5d/8NZf8Fb/+iBaV/wCCq+/+WVH/AA1l/wAFb/8AogWlf+Cq+/8AllX6ijx34pHW8B/7Zx//ABNL/wAJ54o/5+x/37T/AOJoA/Ln/hrL/grf/wBEC0r/AMFV9/8ALKj/AIay/wCCt/8A0QLSv/BVff8Ayyr9Rv8AhPPFH/P2P+/af/E0f8J54o/5+x/37T/4mgD8uf8AhrL/AIK3/wDRAtK/8FV9/wDLKj/hrL/grf8A9EC0r/wVX3/yyr9Rv+E88Uf8/Y/79p/8TR/wnnij/n7H/ftP/iaAPy5/4ay/4K3/APRAtK/8FV9/8sqP+Gsv+Ct//RAtK/8ABVff/LKv1G/4TzxR/wA/Y/79p/8AE0f8J54o/wCfsf8AftP/AImgD8uf+Gsv+Ct//RAtK/8ABVff/LKj/hrL/grf/wBEC0r/AMFV9/8ALKv1G/4TzxR/z9j/AL9p/wDE0f8ACeeKP+fsf9+0/wDiaAPx+8V/8FDP+CifgjWtA8G+LPhh4Z0fxT4kn8mw067s7qG4uvMeOKAQRtqQZ2eVmQAZyQBjPXu/+Gsv+Ct//RAtK/8ABVff/LKvOf25/EGq3/7cn7NepXUwe4ttT0kxttUY26xEw4Awea/Yz/hPPFH/AD9j/v2n/wATQB+XP/DWX/BW/wD6IFpX/gqvv/llR/w1l/wVv/6IFpX/AIKr7/5ZV+o3/CeeKP8An7H/AH7T/wCJo/4TzxR/z9j/AL9p/wDE0Aflz/w1l/wVv/6IFpX/AIKr7/5ZUf8ADWX/AAVv/wCiBaV/4Kr7/wCWVfqN/wAJ54o/5+x/37T/AOJo/wCE88Uf8/Y/79p/8TQB+XP/AA1l/wAFb/8AogWlf+Cq+/8AllR/w1l/wVv/AOiBaV/4Kr7/AOWVfqN/wnnij/n7H/ftP/iaP+E88Uf8/Y/79p/8TQB+XP8Aw1l/wVv/AOiBaV/4Kr7/AOWVH/DWX/BW/wD6IFpX/gqvv/llX6jf8J54o/5+x/37T/4mj/hPPFH/AD9j/v2n/wATQB+XP/DWX/BW/wD6IFpX/gqvv/llR/w1l/wVv/6IFpX/AIKr7/5ZV+op8eeKCP8Aj7A/7Zp/8TSf8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0f8J14p/5/f/Icf/xNAH5d/wDDWX/BW/8A6IFpX/gqvv8A5ZUf8NZf8Fb/APogWlf+Cq+/+WVfqJ/wnXin/n9/8hx//E0Dx34pB5vM/wDbOP8A+JoA/Lv/AIay/wCCt/8A0QLSv/BVff8Ayyo/4ay/4K3/APRAtK/8FV9/8sq/Ub/hPPFH/P2P+/af/E0f8J54o/5+x/37T/4mgD8uf+Gsv+Ct/wD0QLSv/BVff/LKj/hrL/grf/0QLSv/AAVX3/yyr9Rv+E88Uf8AP2P+/af/ABNH/CeeKP8An7H/AH7T/wCJoA/Ln/hrL/grf/0QLSv/AAVX3/yyo/4ay/4K3/8ARAtK/wDBVff/ACyr9Rv+E88Uf8/Y/wC/af8AxNH/AAnnij/n7H/ftP8A4mgD8uf+Gsv+Ct//AEQLSv8AwVX3/wAsqP8AhrL/AIK3/wDRAtK/8FV9/wDLKv1G/wCE88Uf8/Y/79p/8TR/wnnij/n7H/ftP/iaAPy5/wCGsv8Agrf/ANEC0r/wVX3/AMsq4jx/+3//AMFJ/hRoUXiL4m/Cfw34X0+4uUtYbjUbK6toZJnR5PLVpNTALlYyQM5wCe1fr7/wnnij/n7H/ftP/ia/K7/grr4l1jWf2dPDNtqM4ljTxXauAEVfmFjfDsB60AXX/a8/4Kr3zte+HfgZpN9pVwTJaXC6Xess1u/MUgI1EAhkIIOOc03/AIay/wCCt/8A0QLSv/BVff8Ayyr9Dfhh428SW/w08JW8V0AkWkWCqPLQ4C26Afw13P8Awnnij/n7H/ftP/iaAPy5/wCGsv8Agrf/ANEC0r/wVX3/AMsqP+Gsv+Ct/wD0QLSv/BVff/LKv1G/4TzxR/z9j/v2n/xNH/CeeKP+fsf9+0/+JoA/Ln/hrL/grf8A9EC0r/wVX3/yyo/4ay/4K3/9EC0r/wAFV9/8sq/Ub/hPPFH/AD9j/v2n/wATR/wnnij/AJ+x/wB+0/8AiaAPy5/4ay/4K3/9EC0r/wAFV9/8sqP+Gsv+Ct//AEQLSv8AwVX3/wAsq/Ub/hPPFH/P2P8Av2n/AMTR/wAJ54o/5+x/37T/AOJoA/Ln/hrL/grf/wBEC0r/AMFV9/8ALKj/AIay/wCCt/8A0QLSv/BVff8Ayyr9Rv8AhPPFH/P2P+/af/E0f8J54o/5+x/37T/4mgD8uf8AhrL/AIK3/wDRAtK/8FV9/wDLKj/hrL/grf8A9EC0r/wVX3/yyr9RP+E68U/8/v8A5Dj/APiaP+E68U/8/v8A5Dj/APiaAPy7/wCGsv8Agrf/ANEC0r/wVX3/AMsqP+Gsv+Ct/wD0QLSv/BVff/LKv1E/4TrxT/z+/wDkOP8A+Jo/4TrxT/z+/wDkOP8A+JoA/Lv/AIay/wCCt/8A0QLSv/BVff8Ayyo/4ay/4K3/APRAtK/8FV9/8sq/UT/hOvFP/P7/AOQ4/wD4mj/hOvFP/P7/AOQ4/wD4mgD8u/8AhrL/AIK3/wDRAtK/8FV9/wDLKj/hrL/grf8A9EC0r/wVX3/yyr9RP+E68U/8/v8A5Dj/APiaP+E68U/8/v8A5Dj/APiaAPy7/wCGsv8Agrf/ANEC0r/wVX3/AMsqP+Gsv+Ct/wD0QLSv/BVff/LKv1E/4TrxT/z+/wDkOP8A+Jo/4TrxT/z+/wDkOP8A+JoA/Lv/AIay/wCCt/8A0QLSv/BVff8Ayyo/4ay/4K3/APRAtK/8FV9/8sq/UT/hOvFP/P7/AOQ4/wD4mj/hOvFP/P7/AOQ4/wD4mgD8u/8AhrL/AIK3/wDRAtK/8FV9/wDLKj/hrL/grf8A9EC0r/wVX3/yyr9RP+E68U/8/v8A5Dj/APiaP+E68U/8/v8A5Dj/APiaAPy7/wCGsv8Agrf/ANEC0r/wVX3/AMsqP+Gsv+Ct/wD0QLSv/BVff/LKv1E/4TrxT/z+/wDkOP8A+Jo/4TrxT/z+/wDkOP8A+JoA/Lv/AIay/wCCt/8A0QLSv/BVff8Ayyo/4ay/4K3/APRAtK/8FV9/8sq/UT/hOvFP/P7/AOQ4/wD4mj/hOvFP/P7/AOQ4/wD4mgD8u/8AhrL/AIK3/wDRAtK/8FV9/wDLKj/hrL/grf8A9EC0r/wVX3/yyr9RP+E68U/8/v8A5Dj/APiaP+E68U/8/v8A5Dj/APiaAPy7/wCGsv8Agrf/ANEC0r/wVX3/AMsqP+Gsv+Ct/wD0QLSv/BVff/LKv1E/4TrxT/z+/wDkOP8A+Jo/4TrxT/z+/wDkOP8A+JoA/Lv/AIay/wCCt/8A0QLSv/BVff8Ayyo/4ay/4K3/APRAtK/8FV9/8sq/UT/hOvFP/P7/AOQ4/wD4mj/hOvFP/P7/AOQ4/wD4mgD8u/8AhrL/AIK3/wDRAtK/8FV9/wDLKj/hrL/grf8A9EC0r/wVX3/yyr9RP+E68U/8/v8A5Dj/APiaP+E68U/8/v8A5Dj/APiaAPy7/wCGsv8Agrf/ANEC0r/wVX3/AMsqP+Gsv+Ct/wD0QLSv/BVff/LKv1E/4TrxT/z+/wDkOP8A+Jo/4TrxT/z+/wDkOP8A+JoA/Lv/AIay/wCCt/8A0QLSv/BVff8Ayyo/4ay/4K3/APRAtK/8FV9/8sq/UT/hOvFP/P7/AOQ4/wD4mj/hOvFP/P7/AOQ4/wD4mgD8u/8AhrL/AIK3/wDRAtK/8FV9/wDLKj/hrL/grf8A9EC0r/wVX3/yyr9RP+E68U/8/v8A5Dj/APiaP+E68U/8/v8A5Dj/APiaAPy7/wCGsv8Agrf/ANEC0r/wVX3/AMsqP+Gsv+Ct/wD0QLSv/BVff/LKv1E/4TrxT/z+/wDkOP8A+Jo/4TrxT/z+/wDkOP8A+JoA/Lv/AIay/wCCt/8A0QLSv/BVff8Ayyo/4ay/4K3/APRAtK/8FV9/8sq/UT/hOvFP/P7/AOQ4/wD4mj/hOvFP/P7/AOQ4/wD4mgD8u/8AhrL/AIK3/wDRAtK/8FV9/wDLKj/hrL/grf8A9EC0r/wVX3/yyr9RP+E68U/8/v8A5Dj/APiaP+E68U/8/v8A5Dj/APiaAPy7/wCGsv8Agrf/ANEC0r/wVX3/AMsqP+Gsv+Ct/wD0QLSv/BVff/LKv1E/4TrxT/z+/wDkOP8A+Jo/4TrxT/z+/wDkOP8A+JoA/Lv/AIay/wCCt/8A0QLSv/BVff8Ayyo/4ay/4K3/APRAtK/8FV9/8sq/UT/hOvFP/P7/AOQ4/wD4mj/hOvFP/P7/AOQ4/wD4mgD8u/8AhrL/AIK3/wDRAtK/8FV9/wDLKj/hrL/grf8A9EC0r/wVX3/yyr9RP+E68U/8/v8A5Dj/APiaP+E68U/8/v8A5Dj/APiaAPy7/wCGsv8Agrf/ANEC0r/wVX3/AMsqP+Gsv+Ct/wD0QLSv/BVff/LKv1E/4TrxT/z+/wDkOP8A+Jo/4TrxT/z+/wDkOP8A+JoA/Lv/AIay/wCCt/8A0QLSv/BVff8Ayyo/4ay/4K3/APRAtK/8FV9/8sq/UT/hOvFP/P7/AOQ4/wD4mj/hOvFP/P7/AOQ4/wD4mgD8u/8AhrL/AIK3/wDRAtK/8FV9/wDLKj/hrL/grf8A9EC0r/wVX3/yyr9RP+E68U/8/v8A5Dj/APiaP+E68U/8/v8A5Dj/APiaAPy7/wCGsv8Agrf/ANEC0r/wVX3/AMsqP+Gsv+Ct/wD0QLSv/BVff/LKv1E/4TrxT/z+/wDkOP8A+Jo/4TrxT/z+/wDkOP8A+JoA/Lv/AIay/wCCt/8A0QLSv/BVff8Ayyo/4ay/4K3/APRAtK/8FV9/8sq/UT/hOvFP/P7/AOQ4/wD4mj/hOvFP/P7/AOQ4/wD4mgD8u/8AhrL/AIK3/wDRAtK/8FV9/wDLKj/hrL/grf8A9EC0r/wVX3/yyr9RP+E68U/8/v8A5Dj/APiaP+E68U/8/v8A5Dj/APiaAPy7/wCGsv8Agrf/ANEC0r/wVX3/AMsqP+Gsv+Ct/wD0QLSv/BVff/LKv1E/4TrxT/z+/wDkOP8A+Jo/4TrxT/z+/wDkOP8A+JoA/Lv/AIay/wCCt/8A0QLSv/BVff8Ayyo/4ay/4K3/APRAtK/8FV9/8sq/UT/hOvFP/P7/AOQ4/wD4mj/hOvFP/P7/AOQ4/wD4mgD8u/8AhrL/AIK3/wDRAtK/8FV9/wDLKj/hrL/grf8A9EC0r/wVX3/yyr9RP+E68U/8/v8A5Dj/APiaP+E68U/8/v8A5Dj/APiaAPy7/wCGsv8Agrf/ANEC0r/wVX3/AMsqP+Gsv+Ct/wD0QLSv/BVff/LKv1E/4TrxT/z+/wDkOP8A+Jo/4TrxT/z+/wDkOP8A+JoA/Lv/AIay/wCCt/8A0QLSv/BVff8Ayyo/4ay/4K3/APRAtK/8FV9/8sq/UT/hOvFP/P7/AOQ4/wD4mj/hOvFP/P7/AOQ4/wD4mgD8u/8AhrL/AIK3/wDRAtK/8FV9/wDLKj/hrL/grf8A9EC0r/wVX3/yyr9RP+E68U/8/v8A5Dj/APiaP+E68U/8/v8A5Dj/APiaAPy7/wCGsv8Agrf/ANEC0r/wVX3/AMsqP+Gsv+Ct/wD0QLSv/BVff/LKv1E/4TrxT/z+/wDkOP8A+Jo/4TrxT/z+/wDkOP8A+JoA/Lv/AIay/wCCt/8A0QLSv/BVff8Ayyo/4ay/4K3/APRAtK/8FV9/8sq/UT/hOvFP/P7/AOQ4/wD4mj/hOvFP/P7/AOQ4/wD4mgD8u/8AhrL/AIK3/wDRAtK/8FV9/wDLKj/hrL/grf8A9EC0r/wVX3/yyr9RP+E68U/8/v8A5Dj/APiaP+E68U/8/v8A5Dj/APiaAPy7/wCGsv8Agrf/ANEC0r/wVX3/AMsqP+Gsv+Ct/wD0QLSv/BVff/LKv1E/4TrxT/z+/wDkOP8A+Jo/4TrxT/z+/wDkOP8A+JoA/Lv/AIay/wCCt/8A0QLSv/BVff8Ayyo/4ay/4K3/APRAtK/8FV9/8sq/UT/hOvFP/P7/AOQ4/wD4mj/hOvFP/P7/AOQ4/wD4mgD8u/8AhrL/AIK3/wDRAtK/8FV9/wDLKj/hrL/grf8A9EC0r/wVX3/yyr9RP+E68U/8/v8A5Dj/APiaP+E68U/8/v8A5Dj/APiaAPy7/wCGsv8Agrf/ANEC0r/wVX3/AMsqP+Gsv+Ct/wD0QLSv/BVff/LKv1E/4TrxT/z+/wDkOP8A+Jo/4TrxT/z+/wDkOP8A+JoA/Lv/AIay/wCCt/8A0QLSv/BVff8Ayyo/4ay/4K3/APRAtK/8FV9/8sq/UT/hOvFP/P7/AOQ4/wD4mj/hOvFP/P7/AOQ4/wD4mgD8u/8AhrL/AIK3/wDRAtK/8FV9/wDLKj/hrL/grf8A9EC0r/wVX3/yyr9RP+E68U/8/v8A5Dj/APiaP+E68U/8/v8A5Dj/APiaAPy7/wCGsv8Agrf/ANEC0r/wVX3/AMsqP+Gsv+Ct/wD0QLSv/BVff/LKv1E/4TrxT/z+/wDkOP8A+Jo/4TrxT/z+/wDkOP8A+JoA/Lv/AIay/wCCt/8A0QLSv/BVff8Ayyo/4ay/4K3/APRAtK/8FV9/8sq/UT/hOvFP/P7/AOQ4/wD4mj/hOvFP/P7/AOQ4/wD4mgD8u/8AhrL/AIK3/wDRAtK/8FV9/wDLKj/hrL/grf8A9EC0r/wVX3/yyr9RP+E68U/8/v8A5Dj/APiaP+E68U/8/v8A5Dj/APiaAPy7/wCGsv8Agrf/ANEC0r/wVX3/AMsqP+Gsv+Ct/wD0QLSv/BVff/LKv1E/4TrxT/z+/wDkOP8A+Jo/4TrxT/z+/wDkOP8A+JoA/Lv/AIay/wCCt/8A0QLSv/BVff8Ayyo/4ay/4K3/APRAtK/8FV9/8sq/UT/hOvFP/P7/AOQ4/wD4mj/hOvFP/P7/AOQ4/wD4mgD8u/8AhrL/AIK3/wDRAtK/8FV9/wDLKj/hrL/grf8A9EC0r/wVX3/yyr9RP+E68U/8/v8A5Dj/APiaP+E68U/8/v8A5Dj/APiaAPy7/wCGsv8Agrf/ANEC0r/wVX3/AMsqP+Gsv+Ct/wD0QLSv/BVff/LKv1E/4TrxT/z+/wDkOP8A+Jo/4TrxT/z+/wDkOP8A+JoA/Lv/AIay/wCCt/8A0QLSv/BVff8Ayyo/4ay/4K3/APRAtK/8FV9/8sq/UT/hOvFP/P7/AOQ4/wD4mj/hOvFP/P7/AOQ4/wD4mgD8u/8AhrL/AIK3/wDRAtK/8FV9/wDLKj/hrL/grf8A9EC0r/wVX3/yyr9RP+E68U/8/v8A5Dj/APiaP+E68U/8/v8A5Dj/APiaAPy7/wCGsv8Agrf/ANEC0r/wVX3/AMsqP+Gsv+Ct/wD0QLSv/BVff/LKv1E/4TrxT/z+/wDkOP8A+Jo/4TrxT/z+/wDkOP8A+JoA/Lv/AIay/wCCt/8A0QLSv/BVff8Ayyo/4ay/4K3/APRAtK/8FV9/8sq/UQeO/FI63gP/AGzj/wDiad/wnnij/n7H/ftP/iaAPy5/4ay/4K3/APRAtK/8FV9/8sqP+Gsv+Ct//RAtK/8ABVff/LKv1G/4TzxR/wA/Y/79p/8AE0f8J54o/wCfsf8AftP/AImgD8uf+Gsv+Ct//RAtK/8ABVff/LKj/hrL/grf/wBEC0r/AMFV9/8ALKv1G/4TzxR/z9j/AL9p/wDE0f8ACeeKP+fsf9+0/wDiaAPy5/4ay/4K3/8ARAtK/wDBVff/ACyo/wCGsv8Agrf/ANEC0r/wVX3/AMsq/Ub/AITzxR/z9j/v2n/xNH/CeeKP+fsf9+0/+JoA/Ln/AIay/wCCt/8A0QLSv/BVff8Ayyo/4ay/4K3/APRAtK/8FV9/8sq/Ub/hPPFH/P2P+/af/E0f8J54o/5+x/37T/4mgD8gPiB/wUK/4KKfCXRYdU+KXwv8NeFft1wsNm2o2d1bRz4R2lCmTUhll+TgHoenp3TftZf8FbCxMfwD0pkzwf7KvuR2/wCYlXnf/BYTxDq2tfDz4eR6lMJVi1S7K4VVwTAuegFfsJB488UCCMfax90f8s09P92gD8vv+Gsv+Ct//RAtK/8ABVff/LKj/hrL/grf/wBEC0r/AMFV9/8ALKv1G/4TzxR/z9j/AL9p/wDE0f8ACeeKP+fsf9+0/wDiaAPy5/4ay/4K3/8ARAtK/wDBVff/ACyo/wCGsv8Agrf/ANEC0r/wVX3/AMsq/Ub/AITzxR/z9j/v2n/xNH/CeeKP+fsf9+0/+JoA/Ln/AIay/wCCt/8A0QLSv/BVff8Ayyo/4ay/4K3/APRAtK/8FV9/8sq/Ub/hPPFH/P2P+/af/E0f8J54o/5+x/37T/4mgD8uf+Gsv+Ct/wD0QLSv/BVff/LKj/hrL/grf/0QLSv/AAVX3/yyr9Rv+E88Uf8AP2P+/af/ABNH/CeeKP8An7H/AH7T/wCJoA/Ln/hrL/grf/0QLSv/AAVX3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3jaLRLDVnkeJBw+jaoBIyKB94xRS/L/ALcY9KAP6SqKrWd5a6haQX9jKs9tcossUiHcjo43KykcEEHINWaACiiigAooooAK8j+N3xE8T/CrwBeeOfDHhKbxm+mkSXVlbXAgnW2AJeZMxyeZswMoBnaSw6YPrlFAH45j/grroTEKvwyuiTwANUT/AORq37b/AIKlXd6nmWfwa1adPWO8LD8xamv090D4eeAPClzLe+F/DOmaPcTu0kklnZQW7u7nLMzRopJYkkk8muwoA/Jv/h59q3/RE9a/8Cm/+RKP+Hn2rf8ARE9a/wDApv8A5Er9ZKKAPyb/AOHn2rf9ET1r/wACm/8AkSj/AIefat/0RPWv/Apv/kSv1kooA/Jv/h59q3/RE9a/8Cm/+RKP+Hn2rf8ARE9a/wDApv8A5Er9ZKKAPx18Z/8ABTnxnN4T1eHw18JdS0XVHtpRb311M0sNq5U/vnT7MoYR/ewWA454zX5yfs/fta/Fv4B+L7jXdGvpNa07V7gz6ppl5IzxXskhy8u45aOdv+eq8k43Bx8tf0g/tF/8m+fE/wD7FfWv/SGav51f2D7Ozv8A9rT4e299BHcRC5u5Nkih13xWU7o2DkZVlDKexAI5FAH9Lvw+8WyePPBWjeMZdIvdAfVrdJzY6hH5V1blv4ZEycHuPUEEgdB2NFFABRRRQB+ZX/BRj41/FL4GSfDPxX8Mtcl0p5LjU47qDAktrpQtuUWeJwVcAbtp+8u4lSDzXlngr/grX4bOgwJ8RfBF2utJ8sr6VLG1rJ/tqs7K8ef7pZ8f3j20/wDgrhDu8BfD+4/uandr/wB9Qqf/AGWoP+CSUMMvgb4gmVFfGo2eMgH/AJYvQB0P/D2n4Qf9CZrv52v/AMdrwT9of/gp5deO/A0vhH4MaTfeGLzUt0d5qN08YnigIwVtvKZtrvkgyEgqPujcQy/ud9ktf+eKf98ivxu/4K6wwxaZ8LjEipmbWOgA/htKAL//AAT6/bX1rxRf6d8AfinJPqWourJo2qENLK6xIWNvdEZJ2qpKSnsNrnoT+xVfkb/wSY8M+H/+FeeMfGB0+E62dV+w/bCgMwtlgik8pWPKqXYsQMZOM5wMfrlQB+KXjv8Abo+I37Ov7V3jzwh4iEninwONRQ/YZX/0izSWGNybSVugG7PlN8h7bCS1fbNj/wAFDP2Rryygu5fHBs3mRXaGbTr/AMyMkZKPst3XcOh2sR6EjmvxG/byOf2tviGR/wA/Np/6RQV+0HwN/ZI/Zx134KfD/W9f+H+mXup6j4f0q5up5I2LyzzWkbyOx3dWYkmgDpP+Hgf7IX/RQU/8F2o//ItfMH7T3/BSvwXpPhNNE/Zv1Qaz4g1IEPqb2sscOnxjusd1EnmzN/CCpRRy2ThT9nf8MZ/st/8ARNtJ/wC/Tf8AxVfin/wUf+GXgH4VfG/Q/D3w60O30DTbjw7bXUkFspVGne7u0ZyCTyVRR9AKAP1i/Y2/bI8P/tH+H18P+IGi0zx9pcQN3aA7Y7yNeDc2wPVf76dUJ7qQa+5K/M7/AIJq/Bf4b6V8EtD+MkOjxy+MNae/jlv5sySRRQ3UtuEgB4iBRPmKgM2TkkYA/TGgAooooAKKxPEviPRPCGg33ifxJdCy0vTImnuZ2VmWKJfvOwUE4A5JxwOTxXzt/wANr/srf9FH03/yL/8AG6APqSivlv8A4bX/AGVv+ij6b/5F/wDjdH/Da/7K3/RR9N/8i/8AxugD6kr4R/4KI/F9fhf+ztqei2M2zV/GzHSLcA/MIJFzdvj08nMeexkWvSv+G1/2Vv8Aoo+m/wDkX/43X4c/t7ftBaf8efjOT4VvRe+E/DNuLLTpFyEmd8PcTgMARvfCA91jU0AfO/wU+EPif45/EnSPht4UULdak+ZZ2BMdrbJ80s8mP4UXtxubCjlhX9VHwi+FXhT4K/D/AEr4ceDI5E03SkIDyuXlllc7pJXJ/idiWIACjOFAAAr8kP8Agnl47/Zo+CHgPUfGPjzxrp1h4z8SytE8Mok820sbdyqREhCAZXBlbBwR5eeVr9Ff+G1/2Vv+ij6b/wCRf/jdAH1JRXy3/wANr/srf9FH03/yL/8AG6P+G1/2Vv8Aoo+m/wDkX/43QB9SUhIHWvlpv22f2VVBY/EfTeOeBMf08uvxV/a//bb8VfHjxVFpPgW6udC8F6FcrNYrG7Q3F1cQtlLuYqQVKkZiTPydT8/IAP6UKK/NT9h79uGy+NNlbfDD4n3Mdp48tI9tvcNhI9WjQcso4C3CgZdBwwy6D7yr+ldABRRRQAVxvxF8VQ+BvAHiXxpcMFj0HTbu+JPT/RoWkx+O3GK6u2ura9t0urOZJ4JRlJI2DIw9QRwRXwx/wUc8er4K/Ze1vTo5PLu/FVza6TDg84d/Pm49DDC6n/eoA/nY8C+CfFXxT8baX4J8KWzahreu3AihQnqzcs7t2RRl3Y9FBJ6V/Uj+zT+z7oX7OHw2tvA+k31xqd1KRcX1zNI5jkuWHzmGEkpFH2CqMkYLlm5r4h/4Jhfs7R+FvB1x8efE1rjVvEqtb6UJF+aDT0bDyjPRp3Xg/wDPNQQcOa/WKgAorG0/xFoGrajqOkaVqVteX2kOkd7BDMkkts8i70WZFJZCyncAwGRyK2aACv5T/wBsXx5/wsb9pfx94hik822h1F7C3IOVMOngWqlfZvLL/wDAs1/SJ+0b8T4/g38EfF/xD8wJdaZYutnnveT4hthjuPNdSfYGv5e/gt8Lde+OXxV0H4c6OzfadbucT3BBbybdcvcTtnrsQM3J+Y4HUigD9OP+CXXwV+ITX158aLnW73RvCRMlrBp8TlYdWmUFHkmRsqYoCcKwG4yZAYBWDftxXN+DvCWg+A/CuleDPC9sLPSdFto7W2iH8McShRk92PVieSSSeTXSUAFFFNVldQ6EMrDII5BB7igB1FFFABX5kftGftS/HD9lf46rqHi/SofEnwl8SpCLBII1huLR4o1W4RZsczbsybJcq6kBGTDY/TevIfjp8HPDfx4+GWsfDfxMoSO/TdbXAXc9rdx5MM6e6N1GRuUspOGNAF74S/GT4d/G/wAKxeMPhxq0ep2TYWaP7k9tKRkxTxH5o3HvwRypK4J9Qr+TLwb47+Lf7Jvxevm0S5bStf8AD91JZahaOS1tdLC+HimTgSRPjKng4IdCDg1/TF+z78b/AA3+0H8MNM+I/hxDb/aMwXlqx3PaXkQHmwk8ZAyGVsDcjKcAnAAPa6KKa7pGjSSMFVQSSTgADqSaAPnr9qT45WH7Pvwa1rx3I6HVWX7JpUL4PnX84Ii4PVYwDI4/uoR1xX8zXwp+GHjv9oX4n2ng3w4GvdX1qZ57q6myyQxlt091O3Xauck9WYhRlmAP0v8Ats/tA6n+078aLbwn4CWXUvDuhTNp2jQW6mRr65lYJJcKi8sZWAWIf3ApwCzCvefgn+zT/wAFAfgJBfy/DHS9H0ufWRGbmSeWwuJyqD5Y98m8qoJJKqcE8nOBQB+o37NH7Mnhj9mbwxdeH/D2t6lrMmoskty95Ni381QQWgtl/dxbs8n5mOAGYgDH0tX5N/Z/+CsP/Pzov5aZ/wDE14D+0d8T/wDgoX8LPh+5+LfiCw0rSvELnTlNgbFbxy6Mz+WYF81RtUhnXG3I5BIoA/YXwX8ePhN8QvG3iD4d+D/EdvqWv+GWC3lvGTx2YxsRtlEbfJIUJCNw2CRXrtfx8fCvUviPpHxA0XUvhKL1vFlvOGsV0+NprhpADlRGoYupXIdSCpXIYYzX9W3wZ8SfEPxX8ONH1r4qeG/+EV8Tyx4vLISpKu9eBIuxn2LIPm2MdyZ2nOMkA9RooooAKKK82+Lfwu0D4y+A9Q+Hnie6vLPTdSaFpZLCUQXH7mVZQFcq4AJUBuORkUAaviP4kfDzweGbxb4o0vRAn3vtt7BbY+vmOtfO3ir9vH9lPwkHS68eW+ozJnEenQz3u4jsHhjaP83Arg9K/wCCaf7Ken4N5ouoapjr9p1Gdc/XyDFXpOlfsNfsoaNj7J8OrGTb/wA/Etzdfn58r5oA+TPGn/BWb4YacskXgLwbqutyrkK99LDYRE+o2G4cj6qp+lfGnj7/AIKa/tI+Ni2m+EFsPCUM52ILC2+0XTbuAvmXBkG49AUjU+nNfuRpX7Of7P8AomDpfw28OQOvRxpVqX/77MZb9a/l58GRpF8eNCiiUIieJbUKoGAALxcAD0oA9Dufgz+118b9W/t/WfC3inxJdzcLealDcbdp7LNc7UCj0BAHpXqXh/8A4Jt/tXa0Fa98P2eiq3e91G3OB6kW7TEfTGa/pXooA+Gv2Mfgv+0Z8B9BuPAnxT1vR9a8KxoZNOjtLi5murGUsC0SmWCNTCwJO3d8rfd4Y19y0V4d+0p478R/DH4F+MPH3hFok1fRLP7RbmZPMj3CRAdy5GRtJ70Ae40V+Y37Pv8AwUy+GfxC+zeHfi9CngnXnwgutxbSp39fMbLW+fSTKAdZM8V+mVrdWt9bRXtlMlxbzoskckbB0dGGVZWGQQRyCODQB8lft5w+f+yT8Q09La0b/vi9gb+lfhN+xN8JvCHxn/aD0Twb46hkutGWG5vJYEcxic2yb1jdhzsY43BSCRwCOtfvb+23F537KnxHQ9tODf8AfE0bf0r8Xv8Agmf/AMnVaT/2DdR/9E0Af0eadpun6Pp9tpOk20dlZWcawwQQoI4oo0G1URFwFVQMAAYAq7RRQAV+WH/BQ34I+LLMWf7VPwj1C80vxN4UiSLUms5XSU2Kk7Z0KnI8osRKvRozluEOf1Pqre2VnqVlcadqEKXFrdRvFLFIAySRuNrKwPBBBII9KAPyK/ZW/wCCllp4jubLwF+0KYdPv5SsVvr0aiK2lc8AXkYwsTE/8tExHz8yoAWP6+qyuodCGVhkEcgg1/Jt+078HpPgV8bfEvw8jV/7Otp/P0535L2NwPMh5P3iinYx7srV/Rr+xzL4gn/Zg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jkxsfutyY2ORkFlb+eXw54p+K/7OvxHmutEurvwr4q0Kdre5iPyncjfPFNGcpJGccqwKsMEdjQB/XjRXwx+yF+2x4V/aRsR4Y12KPQvHdnFvmsgx8i8RB801oWOcDq0ZJZBzllBYfc9ABRRRQB/J34Ibf8AtW6A/wDe8a2p/PUlr+sSv5M/h42/9qHwy/8Ae8Y2R/PUUr+sygAr54/a1/5Nl+Jv/YBvf/RZr6Hr54/a1/5Nl+Jv/YBvf/RZoA/En/gmKcftR2o9dI1Afolf0e1/N5/wTKbH7U2nj+9peoD/AMcBr+kOgAr4+/aT/Yy+Hn7THiPw94n8T6hd6Ve6Iht5Xswm66tC/mCFi4O0qxYqwzjc2QeMfYNFAGL4b8O6J4R0DTvC3hu0Sw0vSYI7a2gjGFjiiUKqjvwB1PJ6nmtqiigD+e7/AIKt3PnftE6DADxB4YtAR7teXjfyIr9Av+CYVqbf9l6CXGPtOsX8n1x5af8Astfmt/wU+vhd/tQTQA5+xaNYRfTPmSf+z1+qP/BOKyNr+yT4UnIx9suNTlHvi9mj/wDZKAPueiiigDB8R+FfDHjDTn0jxZpFnrVjICGgvYI7iI59UkDD9K/G39uj9g3wV4N8F6j8aPgxbHSYtJ2y6ppKsz25gdgrT2+4loyhbLx5KbMlQu3DfthXzF+2fqq6N+y18Sbt8Yk0p7fn1unWAfq9AH4D/sL+HLbxR+1f8PNOu1DRW95NfcjID2FtLdRn/vuJfxr+pWv5j/8AgndMkX7X3gYPx5i6oo+v9m3J/pX9OFABXwp+1n8K/wBqXxDfWPiz9m7xzeWEhCW95oxuIreDaM4uIZHXAP8Az0VjzwV5BU/ddFAH5E6X+zp/wUqvbUT6h8ZLLT5G/wCWT308jj6mOzZfyY1pf8M0/wDBRz/ouVh/4FXX/wAhV+slFAH8k37R/hv4g+EfjV4m8O/FTWk8ReKrOSAXt/G7yJOz28boQzpGx2xsq8qOmOlfqx4X/Zy/4KF3vhnSLzR/jXY2thPZ28lvEbq6BjhaNSiECzI+VcDqfrX59ft9f8nc/EL/AK72X/pBb1/Sp8Of+Se+F/8AsF2X/ohKAPzN/wCGaf8Ago5/0XKw/wDAq6/+Qq/M39sLwL8a/A/xV0/Qfjf4nj8ZeI59Kt5YLq3eSUC1eedY4cyRRNkOrnAU/e69q/qWrk7jwH4JvPFsPj280Kyn8SW9utrFqMkCPdRwKzOESUgso3Ox4I60AfPv7D2ma5o37K/gHTPEenXGlahb290Ht7qJ4ZlU3k5jLI4DAOhVlyOVII4NfV1FFABRRX5u/tt/tg3Pw4j/AOFI/BppNT+JGuhYGNoplk05J+FCKgJN1ID+7QcqCHP8AYA8B/4KK/tcveyXH7N3wqumnlmcQ6/c2xLMzE4GnxleSSf9dj2j/wCei17T+wR+xe/wc05Pix8T7Nf+E21KLFnayAMdLtpBzn0uJAcP3Rfk4JcVW/Ym/YUX4VywfFz4zQJfeNpv3tnZuRMmml+TI7ch7o56gkR/wktyP1AoAK/kW8H/APJe9E/7Ga2/9LVr+umv5FvB/wDyXvRP+xmtv/S1aAP66azdZ0bSvEOk3mg67aR3+nahE8FxbzKHjlikG10ZTwQQcEVpUUAeA/BL9mX4Q/s+T61dfDPS5LOfXWQzyTzvcOscZJSKNnJKxqWJxyScbicDHP8A7aEvk/ss/Eh/XSnX/vp0X+tfT1eU/HD4Zt8Y/hR4j+GSaj/ZJ8QW4g+1eV5/lYkV8+XuTd93GNw60Afz/wD/AATZuxbftYeHoc/8fVlqUf5Wryf+yV/StXyH+z7+xR8Fv2erq38Q6Dazaz4phRl/ta/fdKnmKUcQxriOIMpI4UvtJBcivrygD5f/AG0/+TWPiR/2C2/9GJX4rf8ABM//AJOq0n/sG6j/AOia/an9tP8A5NY+JH/YLb/0Ylfit/wTP/5Oq0n/ALBuo/8AomgD+kmq15cfZLSe78tpfJRn2IMs20Zwo9T0FWaKAPzGvP8Agqd8HNHun07xF4K8V6ZexcPDLa2qup91kuUYfiK+Mv2tP+CiU3xr8HS/Db4XaVd+H9D1HjUrm8ZBd3MQOfIVImdY42P3zvJcfLwu4N+5njz4ZfD74oaS+h/ELw9Za/ZsCAt3Crsme8b/AH42/wBpGBHrX83f7cn7Pvhb9nX4xQeGPBM076JrGnRalBFcOJJLcyTSxPDv4LKpiypbnBwSSCSAfZn/AASR8DpJqXj/AOJNxH80EVrpNu+O0rGe4H/kOGv2yr81P+CV+jLp37OOo6kR8+q+ILuXP+zHBbxAfgUY/jX6V0AfhH/wVt/5KT4D/wCwTcf+lFfoB/wTq/5ND8Ff9dNU/wDTjcV+f/8AwVt/5KT4D/7BNx/6UV9c/shL8UP+GCPDkvwck09PFcDanJax6nG0lvPs1G4LREq8exnHCuSVB6jByAD9I6x/EP8AyANT/wCvWb/0A1+Lek/tef8ABRTXdVudF0n4ZJcXVnK8E2NCvBHHIh2srymYRggju1ein4qf8FRtZsZrb/hWGlLFOjRtvjhiba4wcCS+Bzz6UAfmr+xJ/wAnV/Dj/sIn/wBEyV/VDX82fw0/ZH/bX+FPjvR/iJ4Y+He/VNDm8+3Fxd2MkRfaV+dVulJGGPQivrb4ga//AMFSfiF4R1Hwdd+B7TR7bVI/Kmn02W0gufKb76LI16+0OOCQAcZAIoA/R/wN+0r8HPiP8Sde+FPhHXo77X/DwzKg4in28S/Z5M4l8k4Em3oTxkZI8d/4KJf8mg+Of9/S/wD05W1fjn4U/Yv/AG2vA3iTTvF3hPwZd6Zq+kzLPbXEV/YB45F/7eMEEcMpBDAkEEEiv09/aw8RfEPxP+wB4l1P4q+Gz4V8Ug6XHe2fmxTRmRNSth5sTQvIBHJ94Kx3LypzgMQD5H/4JJ/8lP8AHP8A2B4f/Sha/eCvwf8A+CSf/JT/ABz/ANgeH/0oWv3goAKKKKACiiigAooooAKKKKACvwY/4KqfCC50L4i6J8ZrCLOn+J4FsLxgPuX1muIyx/6aQYCj/pk3tX7z15N8b/g/4Z+Ovw01j4b+KV2wajHmCcKGe1uk5hnTpyjdRkblJU8MaAPmT/gnR8WoPiR+znpfh+5uRLrHgljpVwhPzi3XLWjY7L5OIwe5jb0r70r+ZT4P+PviH+wX+0Xd6V420+T7KpFlrFohJW6sXYNHc25OAxX/AFkTHGRuQ7dzY/pO8MeJtB8Z+HtO8V+F72PUdJ1WFLi2uIjlJI3GQR3B7EHBByCAQaAN2iiigAooooAKKKKACqOp6lY6Npt3q+pzLb2djFJPPK/CxxRKWdj7BQSavV+bv/BSf4/Wvw2+EL/C/RrkDxH46RoHRT88OmA4uJD6eb/qVz94FyOVNAH4T/GD4gX3xe+K/if4hTxt5viLUJp4ourJEzbYIuOpSMKn4V/Up+zx8OB8JPgj4M+Hrp5dxpOnRC6A6fa5szXJ+hmd8V+AP/BP74Gz/GL49abq2oQF/D3gpo9VvWIyjzRtm1gPbLyjcQeCiOK/pkoAK+LP+Ch3/Jn3j7/uFf8Ap0ta+06+LP8Agod/yZ94+/7hX/p0taAPyL/4Jm/8nUaX/wBgzUf/AEVX9I9fzcf8Ezf+TqNL/wCwZqP/AKKr+kegAooooA+Ff2n/ANoHx38Lvjn8D/h14PuIIbDxtq8dtqyywrK728t5awKEZuUO2STkeo9K+6q/Fj9ubxKiftzfBOwD/Joz6Jct/svLqzE/+Oxqfxr9p6ACiiigAooooAK/mw/4KLfGqz+LPx7m0PQp/P0XwRE2lxMpykl2HLXci/8AA8R56ERgjg1+s37dX7UcH7P3w4bQvDV0v/CceKI3hsFUgvaQH5ZLxh22/diz1k55CMK/If8AYe/Za1D9of4jJr/iW2c+B/DsyzalK+Qt5MPnSzU/xF+DLj7sfcMyZAP1m/4JyfB6T4Yfs+WniHVIjFq3jiUarKGGGS1K7LRPoY/3o/66Edq++6jiiigiSCBFjjjUKqqAFVQMAADgADoKkoAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAr8ufDH/KZPw3/2C5//AEx3FfqNX5c+GP8AlMn4b/7Bc/8A6Y7igD9+qKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooqhqst7Bpd5PpsYmu44ZGhQ9GkCkop+pwKAPiD42/wDBRz9l74C+PH+G/i7WbvUNbtGCXqaXbfa47FjzsnfcoDj+JE3svRgDX1/4B8e+Efih4O0nx/4D1OLWNA1uET2l1CTtdCSCCDgqysCrqwDKwKsAQRX8IWrapqWuarea1rVxJeahqE0lxczysWklmlYvI7seSzMSST1Nf1S/8EgNM8R6f+x5b3Gu+Z9k1DXdSuNMD9BZjyom2f7JuI5j9SaAP1HooooA/Bb/AILkW9qdE+D902PtCXGtovrsZLMt+qrXzH/wRe1K+tv2pdf06Bj9mvfCt4Zk/hzFd2hRj7gkgH/aNdz/AMFsfiLZ638W/Afwys5xK/hbS7m9uVX/AJZzapIgCN/teXbI2PRge9dx/wAESfhPqDa98QfjheQvHZw2sXh+ykI+SaSaRLq6APrGIoM/79AH9ClfkL/wWa+H914k/Zq0TxxYw+Y3g/XYZLhsf6u0vo3t2b8ZzAPxr9eq8p+Ofwt0/wCNnwe8X/CjU3WGLxPps9mkrDcIZ2XME2O/lShHx/s0Afygf8E2/HMXgL9s/wCHN7csFttXuptIkzxltRgkt4R/3+aOv7Fa/g/vbLxn8GPiXJZXkb6R4q8Fargg/et77T5sgj12yJkHoeo4r+3L4L/FHQ/jV8KfC3xU8Our2XiWwhu9qNu8mVlxNCT/AHoZQ0bf7SmgD06iivnL9rX4x2/wG/Z28cfEtrlba/sNPlh04k4LajdDybUKOpxK6sQP4QT0BNAH8gf7TnjOP4h/tE/ErxpbsHt9V8Q6lLARzm3+0OsP/kMLX9TH/BNH4fXXw8/Yz8A2uoReVea7FcazIMYymoTPLbt+NuYjX8rP7P8A8HNf/aB+Mnhf4TaBuW48QXixzTgbvs9qmZLmdvaOJWfB6kAdTX9wmi6Pp3h7RrDQNHhFvYaZbxWtvEvSOGFAiKPYKAKANOiivm39pb9q34Q/speFbXxP8Urycy6k7x2Gn2UYmvbx48GTykZkQKgYFnd1UZAzuKggH0lRX5a/B/8A4K4fszfFLxfZ+DNXtdW8F3GpTeTb3erJbixLNwglmimcxFjxll2AkZcDmv1KoAKKKKACiiigDwT9qX4f3XxT/Zy+I/gHT4vPvtX0K+S0j677tIjJbr+MqrX8RmmajdaPqdpq1k2y5spo54z6PGwZT+Yr++6v4z/29vgDffs8/tL+KfDSweXoWuTyazo7quENleyM4jX/AK4Sb4T/ALgPQigD+wnwT4osfHHg3QfGul82fiCwtdQg5z+6u4llTn/dYV09fmX/AMEo/jhB8Vv2W9O8IX10Jdd+HUp0i4jJ/efYzmSxkx2TyiYV9TC1fppQAV/Lr/wWZ8Zx69+1BpHhW3YFPC/h61ilHcXF1LLcN/5CaKv6gru7tbC1mvr2VLe3t0aSWSRgqIiDLMzHgAAZJPQV/EV+078Vbj49/tEeOPiZbF7iHxBqsosBglzZw4t7NdvXd5CRjGOtAH7G/wDBEH4fXUWnfE74qXMWLe5lsdGtZMdXhV7i5X8BJBX6tftRfssfD/8Aa18EaZ4C+I2o6ppun6VqKanFJpUsEMzTJDLCFYzwzqU2yscBQcgc4yDh/sQ/Aif9nX9mrwj8O9VQJrjRNqGq4HIvr1vNkjOOphUrDnuEBr6yoA/H/wD4cqfst/8AQ1eMv/A3Tv8A5XUf8OVP2W/+hq8Zf+Bunf8Ayur9gKKAPx//AOHKn7Lf/Q1eMv8AwN07/wCV1fl//wAFH/2K/hb+x8/w9X4a6rrOpjxYNWN1/a89vNs+w/ZPL8r7Pb2+M+e27duzgYxzn+sCv5/f+C5v+t+Cv+74j/np1AHyH/wTf/Yp+Fv7YX/Cw/8AhZeq6zpn/CJf2T9l/sie2h3/AG/7X5nm/aLe4zj7Ou3btxls54x+n3/DlT9lv/oavGX/AIG6d/8AK6vAv+CGPT42f9y3/wC5Kv39oAxvDmh2nhjw9pfhqwd5LbSbWC0iaUgyNHAgjUsVCgsQvOABnsK/J7/gs18P7rxJ+zVonjixh8xvB+uwyXDY/wBXaX0b27N+M5gH41+vVeU/HP4W6f8AGz4PeL/hRqbrDF4n02ezSVhuEM7LmCbHfypQj4/2aAP5QP8Agm345i8Bftn/AA5vblgttq91NpEmeMtqMElvCP8Av80df2K1/B/e2XjP4MfEuSyvI30jxV4K1XBB+9b32nzZBHrtkTIPQ9RxX9uXwX+KOh/Gr4U+Fvip4ddXsvEthDd7Ubd5MrLiaEn+9DKGjb/aU0AenUUV85fta/GO3+A37O3jj4ltcrbX9hp8sOnEnBbUboeTahR1OJXViB/CCegJoA/kD/ac8Zx/EP8AaJ+JXjS3YPb6r4h1KWAjnNv9odYf/IYWv6mP+CaPw+uvh5+xn4BtdQi8q812K41mQYxlNQmeW3b8bcxGv5Wf2f8A4Oa/+0D8ZPC/wm0Dctx4gvFjmnA3fZ7VMyXM7e0cSs+D1IA6mv7hNF0fTvD2jWGgaPCLew0y3itbeJekcMKBEUewUAUAadFFeO/HP47/AA1/Z08AXXxI+KWpHT9KgdYYkjQy3F1cOCUggjGN8jBSRkhQAWYqoJAB7FRX5IeDf+Cyn7MPiXxNDoWt6P4g8NWV1KkceoXlvbyQRhjjfOsE8joo7lVk45r9Y9O1HT9Y0+11bSbmK9sb2JJ4J4XEkUsUihkdHUlWVlIIIOCORQBcooooAKKKKAP5Fv8Agqp4lu/EH7bXjWznffBoVvpdhb/7MYsYZ3H/AH9mev6L/wBgvwnbeDf2PPhRpdtCsAu9Dt9ScKMbn1LN4zH1J83Oa/n8/wCCuXw41Lwd+15qfi6aLGn+ONOsdQtnA+UvbQJZTJn+8GgDkejqe9fvZ/wT1+JOl/E39j/4b3+nyq82g6bFoV3GGy0M+lAWwV/QtEkcgH911PegD7RooooArXlnaajZz6fqEKXNrdRtFLFIodJI3G1lZTwVYEgg8EV/E7+178ILL4D/ALSnj74WaUNum6RqHmWKklilneRpdWyFjySkUqqT3IJr+2uv40f+ChPjnT/iL+2V8Ttf0eQTWkOoRabGyHcrHTLaKycqR1BkhYjHrQB/Tz+wh4jvfFX7H3wn1bUH8yZNDgtNx5JWxLWqZPc7Yhn3r61r5/8A2VPh1ffCf9nD4c/D3VYvI1HSNFtFvI/7l1Knmzr/AMBldhX0BQAUUUUAfgp/wXJ/5A3wd/6+Nd/9Asq5b/ghv/yHfjB/17aJ/wCh3ldT/wAFyf8AkDfB3/r413/0Cyrlv+CG/wDyHfjB/wBe2if+h3lAH9ClFFFABRRRQAUUUUAfxLftj/8AJ2Pxg/7GvWf/AErkr+tP9jT/AJNM+D//AGKukf8ApKlfyWftj/8AJ2Pxg/7GvWf/AErkr+tP9jT/AJNM+D//AGKukf8ApKlAH0tRRRQAUUV8CftPf8FGvgH+y74n/wCEC8RJqHiTxSkayz2GlRxv9kWRQ8f2mWaSNELqQwVd7AYLKAVJAPvuivh39l//AIKB/AP9qnV5fCfhCa80LxPFEZl0vV0ihmuEUEyG2aKSRJdgGWGQ4X5tuASPuKgAooooAKKKKAPyF/4LNfD+68Sfs1aJ44sYfMbwfrsMlw2P9XaX0b27N+M5gH41+Mn/AATb8cxeAv2z/hze3LBbbV7qbSJM8ZbUYJLeEf8Af5o6/q/+Ofwt0/42fB7xf8KNTdYYvE+mz2aSsNwhnZcwTY7+VKEfH+zX8St7ZeM/gx8S5LK8jfSPFXgrVcEH71vfafNkEeu2RMg9D1HFAH94FFeY/Bf4o6H8avhT4W+Knh11ey8S2EN3tRt3kysuJoSf70MoaNv9pTXp1ABX8O37TnjOP4h/tE/ErxpbsHt9V8Q6lLARzm3+0OsP/kMLX9fn7Wvxjt/gN+zt44+JbXK21/YafLDpxJwW1G6Hk2oUdTiV1YgfwgnoCa/j1/Z/+Dmv/tA/GTwv8JtA3LceILxY5pwN32e1TMlzO3tHErPg9SAOpoA/qm/4Jo/D66+Hn7GfgG11CLyrzXYrjWZBjGU1CZ5bdvxtzEa+8azNF0fTvD2jWGgaPCLew0y3itbeJekcMKBEUewUAVp0AfyD/wDBUD4f3XgL9s3xrLJD5Vn4nW01m0OMb0uYVSVv/AiOYfhX6w/8EVfHMWsfAPxh4BkYNc+Gte+0gf3bfUYE8sY/66QSmsT/AILNfAG+8W/Dvw58ffD8Hmz+C2aw1UKuWOn3jr5MpP8Adhn+Uj/psT0Br8/v+CSfxwg+Fv7TSeCNZuhbaP8AEa1/sw7ztQahEfNsif8AaZt8Kju0ooA/qzooooA/PT/gqV4zj8H/ALFnjSAMFuPEMthpcOe5muY5JB/35ikr+Zv9kP4fXXxR/ad+Gfgq2i85LvXLOe4XGf8ARLNxc3J/CGJzX6y/8FsfjLBcXfgT4C6Xch2tPM1/U41OdruDb2QbHRtpnYg84ZT0Izzn/BF34B3mp+MfEv7RmsQ7dO0WB9F0ssv+svLgI9zIp/6ZQ7U9D5pHVTQB/RbX4Df8Fvvh/dPD8MPipbQ5tomvtGupMfddwlzbL+IWc/hX7818kftx/Ae5/aL/AGafFnw90iMSa7FGmo6SCOTfWR8xIx6GZN8Oe3mZoA/CD/gjf45i8N/tU3vhO5YBPF2g3ltEvrcWrx3an8Iopa/qWr+GX4D/ABP1T4EfG3wh8ULZJEn8LanDPcQ42u8Aby7qEg4wZIWeM+ma/uG0PW9J8S6LYeI9BukvtM1S3iurW4iO6OaCdA8cinurKQR7GgDUrC8UeILHwn4Z1fxVqZ22ejWdxezHOMRW8bSP+imt2vz0/wCCnvxlg+En7JXiext7kQ6x4326BZpn5mS7/wCPs467RbLICegLLnqMgH8j+ralda5q97rF4d1zqE8k8mO7ysWbH4mv7ef2Zfh/c/Cv9nr4dfD6/i8m+0TQrGG7T+7dmFWuB/39Zq/lF/YD+Ad5+0H+014V8PPD5mh6DOmtau5XKCzsZFfy2/67ybIfXDk9jX9llABRRXlPxY+OPwj+BeixeIPi34psvDNncMUhNy582ZhyRFCgaWQgcnYpx3oA9Wor57+Df7Vv7PP7QF3Pp3wi8b2Wv39snmvaBZbW6EYOC4guUilZQerBSBkZPIr6EoAKKKKACiiigD4F/wCCm/w/uviD+xl46i0+Hzrzw+ttrMYx0SxmV7hv+A25lP4V/LJ+zn45i+Gfx8+Hnj64YJbaFr2nXNwTx/o6Tp5wz2zHuFf3Aa7omm+JdD1Hw5rMIudP1W3mtLmJukkM6GORT7FSRX8PPx++DniD4A/GDxP8JfEoLXOgXbRRTFdoubZ8PbzqPSWJlfHbODyDQB/c3RXyV+w78cIPj/8Asy+DPG8t0LnWLW1XTNX5y66hYgRSl/RpVCzAf3ZBX1rQAV/Ht/wUx8Zx+Nf20/iFPbsGt9HltdLjx2NlbRRyj/v95lf1r/EPxzoXwy8CeIPiH4nmEGleHLGe+uGJAykCFyq56s2NqjqSQBya/h+ceNPjz8XJGtYTqPirx9rLusa/8tb3UrgtjPYF36noOTwKAP6Qv+CNXw+uvDH7MWq+Nb6LY/jLXLie3bH37SyRLZT+EyTivvb9qX4f3XxT/Zy+I/gHT4vPvtX0K+S0j677tIjJbr+MqrXU/BH4X6b8FvhF4R+FOlOJoPDGm29k0oG3zpkX99NjsZZCzkerV6lQB/Ajpmo3Wj6naatZNsubKaOeM+jxsGU/mK/vH8E+KLHxx4N0HxrpfNn4gsLXUIOc/uruJZU5/wB1hX8e37e3wBvv2ef2l/FPhpYPL0LXJ5NZ0d1XCGyvZGcRr/1wk3wn/cB6EV+/n/BKP44QfFb9lvTvCF9dCXXfh1KdIuIyf3n2M5ksZMdk8omFfUwtQB+mlFFV7u7tbC1mvr2VLe3t0aSWSRgqIiDLMzHgAAZJPQUAfy+/8FmfGcevftQaR4Vt2BTwv4etYpR3FxdSy3Df+Qmir6a/4Ig/D66i074nfFS5ixb3Mtjo1rJjq8KvcXK/gJIK/HL9p34q3Hx7/aI8cfEy2L3EPiDVZRYDBLmzhxb2a7eu7yEjGMda/rL/AGIfgRP+zr+zV4R+HeqoE1xom1DVcDkX163myRnHUwqVhz3CA0AfWVFFFABRRRQAUUUUAFFFFABRRRQB+Gn/AAUI/wCUhX7K/wD2FNE/9PkdfuXX4af8FCP+UhX7K/8A2FNE/wDT5HX7l0AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFfgp/wXJ/5A3wd/6+Nd/9Asq/euvwU/4Lk/8AIG+Dv/Xxrv8A6BZUAct/wQ3/AOQ78YP+vbRP/Q7yv6FK/nr/AOCG/wDyHfjB/wBe2if+h3lf0KUAFFFFAH5b/wDBX7wc3ib9j+51uOMu3hTW9O1EsBkqkpeyP4ZuRn8K/Bf/AIJ6eLE8Gftn/CrVpGCrc6o2nc9CdTglslH5zDHvX9cfxo+G+n/GD4S+Lvhfqe0Q+JtMurEOwyIpZYyIpfrHJtce4r+IK6tPF3wo8fyWd5FJpHibwhqW10biS2vbGb+aSJ+lAH95VFeWfBH4r+H/AI4/Cfwv8V/DDhrHxHZR3GwHJhm+7PA3+1DKrRt7qa9ToAK/AT/guXeLs+DOnqwLE+IJWHcAfYFU/jz+Vfv3X8xX/BaHx7a+IP2ifDfgazk8z/hFNCQ3Az9y5v5WlK4/64rE3/AqAO+/4Ig6WZfiV8Tta28WukWNvn0+0XDvj8fK/Sv6N6/H3/gjP8KL7wd+z7r/AMStUtvIl8eapm1JHMlhpqmGN/oZ3uAPYZ71+wVABRXjvxz+O/w1/Z08AXXxI+KWpHT9KgdYYkjQy3F1cOCUggjGN8jBSRkhQAWYqoJH55eDf+Cyn7MPiXxNDoWt6P4g8NWV1KkceoXlvbyQRhjjfOsE8joo7lVk45oA/W+iqenajp+safa6tpNzFe2N7Ek8E8LiSKWKRQyOjqSrKykEEHBHIq5QAUUUUAFea/Gbwh/wsH4QeOPAgTzG8RaJqOnqvUlrq2eJce+WGPevSqKAP4BvnifByjofoQRX94vw38VReOvh54X8bwkNH4h0uy1FSvQi7gSYY/76r+Qb9v8A+CV58C/2pvGegC0Nto2uXT61pRAxG1nqDtJtT2hl8yHH+x9Cf3w/4JO/HKx+KX7MFh4FurnzNf8AhxKdMuY2PzmzlZ5bKQD+55eYR7xH2yAfp7RRRQB8B/8ABUK8Wz/Ya+JRLANMNJiUHuX1W0yB/wABya/nF/4J96WdX/bN+FFoq7vL1cXGP+vaGSbP4bM1+4H/AAWY8e2vh79mbR/BAkxe+LNdgATOM21jG80re+2Qwj/gVfnp/wAEbPhRfeK/2jNU+KU1tnS/A2lzBZiOBf6kDBEg9zB55PpgetAH9QNFFfHP7bH7Wnhz9kv4Sz+J5vKvfFmsCS10HTnP+vuQPmmkAIPkQAhpCMZJVAQXBoA+e/8Agox+3vZ/s1+HH+GPw1uY7j4m63BkOMOuj2sgwLiQHIM7j/Uxn/ro42hVk+Yv+Cb3/BP69vryz/an/aNtpL7VL+T+0NE0y/zJI0kh8waleiTJaRyd8Ktn/nq3zFceaf8ABPD9jbxF+0f45uP2vf2lPN1nS7i9ku7CC+G46zfK/wA1zMpGDawsNqIBtdl248tCr/0ZdOBQAUUUUAeaeNPjJ8LPhz4h0Dwp468UWOh6v4pl8jS7a6lEcl3IXSPbGD1O91X6kV6XX883xu+JGmftH/8ABWL4YeC/Ds632jfDzUrS0DxkNHJdaY8mo3jAjOdrp5Tdv3Xpyf6GaACqt9fWWl2VxqWpXEdpaWkbzTTSsEjijjBZ3dmICqoBJJOAOTVqv5+v+Cm/7X/iD4meLo/2Mf2f2m1Ka5u47LXJLElpL29ZwqaZEV6ojY8/nl/3ZwEcMAeL/tfftSfEr9v74w6f+zP+zfBPc+DRdiOJU3RjVZoTlr26P/LO0hALordAPMcbyqp+2n7Hv7IXgP8AZI+HaeHNCCal4l1NUk1nV2TbLdzKOETPKQRkkRp9WbLMTXC/sH/sV+Hf2S/h6JtUSHUPiF4giRtY1BRuEQ4YWdux5EMZ+8esjjceAir950AFFFeR/Hj4veH/AID/AAi8UfFbxLKiW2gWck0cbtg3FyRtt4F6ZaWUqg+uemaANHwN8ZPhZ8S9Z17w74B8UWOu6n4Xm+z6nb2soeS0l3vHtkXt80bj0ypr0uvxC/4IqaTe6h4Q+LfxN1NjNd+ItatLaWZhy8ltFJcSH8Td5Nft7QAUVxPxG+Ivgz4TeCtV+IfxB1OPR/D+ixeddXMgLBVJCqFVQWZ2YhVVQWZiAASa/LW0/wCC0n7Ms/iD+zrjw34nttLLbRfNbWrYOcbmhW5LhMc5GW/2aAP2AormPBfjTwp8RPC2m+NvA+qQazoWsQie0u7dt0csZ447gggqykBlYFWAIIrp6ACiiigAr82fjp/wS4+AP7QPxV174v8AjLxD4nstY8QtA9xDYXVlHbKbeCO3Xy1lspXGUjBOXPOegwB+k1FAH4//APDlT9lv/oavGX/gbp3/AMrqP+HKn7Lf/Q1eMv8AwN07/wCV1fsBRQB+P/8Aw5U/Zb/6Grxl/wCBunf/ACur+dD41+C9L+G/xl8efDvQ5Zp9O8L6/qmlW0lwytO8FjdSQRtIyKilyqAsVVQTnAA4r+6+v4f/ANqv/k6H4w/9jj4g/wDTjPQB+2PwR/4JE/s3/Er4MeAfiNrniXxZBqXirw/pWq3Udtd2CwJPfWkc8ixK9g7BAzkKGZiBjJJ5r7G/Zy/4JsfA39mL4mW/xV8B674j1DVra2ntVi1K5s5bcpcLtYlYbOF8gDj58eoNfRX7J/8Ayaz8HP8AsTPD3/pugr3+gDifiT4D0j4pfD3xL8Ntfmnt9M8U6ddaZcyWrKk6Q3cTRO0bOrqHCsdpZWGeoPSvy1/4cqfst/8AQ1eMv/A3Tv8A5XV+wFFAH4//APDlT9lv/oavGX/gbp3/AMrqP+HKn7Lf/Q1eMv8AwN07/wCV1fsBRQB/O9+2d/wTA+An7Ov7N3i34xeCvEHia+1nQTp4gh1C6spLVvtd9b2r71hs4nOElYrhx8wGcjIP5h/sZ/BTwt+0T+0n4Q+DnjW7vbHRvEH9oefNp7xx3S/ZLC4uk2NLHKgy8ShsoflJAwcEf0tf8FSv+TFviT/vaN/6d7OvwG/4Jcf8n1/DP/uM/wDpnvaAP18/4cqfst/9DV4y/wDA3Tv/AJXV+g/7OH7PHgv9mD4aQ/CvwFe6hqGlQ3U92JdTkiluPMuCCwLQxQptGOPkz6k17zRQB+Sv/BZjxLd6L+ylpei2r7V8QeJrG2nH96GG3ubnH4SRRmvjH/giH4Ttr74lfEzxvJCrzaNpVjYxyEZKf2hPJIwB7bvsv6V99f8ABXL4cal47/ZFu9Z0qLzpfBer2esyqoy5twstpKRjsouA7eiqT2r87f8Agih8SdL0D4veOvhjfyrDceL9Mtru03NjzZtJeQtEo7sYrl3x/dRj2oA/pQooooAK/An/AILXfBTR4NO8FftBaXAkGoTXR8P6k6jBuA0T3Fm7Y4zGIplLHkgqOiiv32r8T/8Agtp4606x+DfgL4bCRf7Q1jXW1TYD8wt9PtpYWJHYM90uD3KnHQ0AfPn/AARB8R3tv8Rfid4RV/8ARL/SrK+ZP+mlpO0SkfhcNn8Pav6M6/AH/giH8Ob9T8S/i1cw7bKQWeiWsn9+Rc3Nyo/3QYP++vav3+oAKK+Ov2pf24/gh+yV/Z+n/EGW81PXtUj8630rS4kluvIyV8+QyvFHHGWUqCz7mIO1W2tjy39nP/gp1+zt+0R4vtPh7aJqHhLxHqBK2kGrpCkF1Ln5YYZ4pXBkb+FXCFj8q5OAQD9F6KKKACiiigAr4F/4Kb/D+6+IP7GXjqLT4fOvPD622sxjHRLGZXuG/wCA25lP4V99Vla7omm+JdD1Hw5rMIudP1W3mtLmJukkM6GORT7FSRQB/D/+zn45i+Gfx8+Hnj64YJbaFr2nXNwTx/o6Tp5wz2zHuFf3K1/DJ8fvg54g+APxg8T/AAl8Sgtc6BdtFFMV2i5tnw9vOo9JYmV8ds4PINf1zfsO/HCD4/8A7MvgzxvLdC51i1tV0zV+cuuoWIEUpf0aVQswH92QUAfWtFFcb8Q/HOhfDLwJ4g+IfieYQaV4csZ764YkDKQIXKrnqzY2qOpJAHJoA/ko/wCCmPjOPxr+2n8Qp7dg1vo8trpceOxsraKOUf8Af7zK/Zj/AII1fD668Mfsxar41votj+MtcuJ7dsfftLJEtlP4TJOK/m9ceNPjz8XJGtYTqPirx9rLusa/8tb3UrgtjPYF36noOTwK/th+CPwv034LfCLwj8KdKcTQeGNNt7JpQNvnTIv76bHYyyFnI9WoA9Sr+Yb/AILP/D+68P8A7Rnh7x+kO2w8WaFHH5mPvXenSvHKv/AYng/Ov6ea/M3/AIKrfAG++NH7NFx4l8PQefrvw7nbWY0VcvLZCMpexr9I9s3v5WByaAPhv/giB45ig8QfFD4aTsPMvLWw1e3XuFtnkt5z/wCR4a/oWr+M39gX43wfAP8Aal8HeL9VuhaaHqUraRqrsdsa2d/iMyOeyQy+XM3slf2ZAgjIoAK+c/2vPGcfw/8A2X/ij4qdgj23h7UIoSen2i6iNvB/5FkWvoyvx0/4LLfGWDwl8BtG+D1hchdS8dagktzED839nacRMxYDkBrjydpPXa2OhwAfzY+D/C2q+OPFuieCtCj83UtfvrbT7VP7091IsUY/FmFf3iaDo9p4e0PTtA08bbXTLaG1iHpHCgRf0Ar+Wj/gkr8A7z4o/tIQ/Eu/hz4f+G0f26R2XKyahOrx2cQPqp3zZ7eWAfvCv6rKAPyF/wCCzXw/uvEn7NWieOLGHzG8H67DJcNj/V2l9G9uzfjOYB+NfjJ/wTb8cxeAv2z/AIc3tywW21e6m0iTPGW1GCS3hH/f5o6/q/8Ajn8LdP8AjZ8HvF/wo1N1hi8T6bPZpKw3CGdlzBNjv5UoR8f7NfxK3tl4z+DHxLksryN9I8VeCtVwQfvW99p82QR67ZEyD0PUcUAf3gUV5j8F/ijofxq+FPhb4qeHXV7LxLYQ3e1G3eTKy4mhJ/vQyho2/wBpTXp1ABX8O37TnjOP4h/tE/ErxpbsHt9V8Q6lLARzm3+0OsP/AJDC1/X5+1r8Y7f4Dfs7eOPiW1yttf2Gnyw6cScFtRuh5NqFHU4ldWIH8IJ6Amv49f2f/g5r/wC0D8ZPC/wm0Dctx4gvFjmnA3fZ7VMyXM7e0cSs+D1IA6mgD+qb/gmj8Prr4efsZ+AbXUIvKvNdiuNZkGMZTUJnlt2/G3MRr7xrM0XR9O8PaNYaBo8It7DTLeK1t4l6RwwoERR7BQBWnQAUVw3xE+Jnw/8AhL4an8Y/ErX7Pw5o1uQrXN5KI1Lt0RAfmdz2RQWPYV4v8Kv20v2XfjX4jXwh8NfiDY6rrUm4RWkiT2c0xTlhCt1HEZSBziPdwCegJoA+oaKKKACiiigArwT9qX4f3XxT/Zy+I/gHT4vPvtX0K+S0j677tIjJbr+MqrXvdFAH8COmajdaPqdpq1k2y5spo54z6PGwZT+Yr+8fwT4osfHHg3QfGul82fiCwtdQg5z+6u4llTn/AHWFfx7ft7fAG+/Z5/aX8U+Glg8vQtcnk1nR3VcIbK9kZxGv/XCTfCf9wHoRX7+f8Eo/jhB8Vv2W9O8IX10Jdd+HUp0i4jJ/efYzmSxkx2TyiYV9TC1AH6aUUVXu7u1sLWa+vZUt7e3RpJZJGCoiIMszMeAABkk9BQB/L7/wWZ8Zx69+1BpHhW3YFPC/h61ilHcXF1LLcN/5CaKvpr/giD8PrqLTvid8VLmLFvcy2OjWsmOrwq9xcr+Akgr8cv2nfircfHv9ojxx8TLYvcQ+INVlFgMEubOHFvZrt67vISMYx1r+sv8AYh+BE/7Ov7NXhH4d6qgTXGibUNVwORfXrebJGcdTCpWHPcIDQB9MeJNDtPE3h7VPDd+M2urWs9pKOv7udDG36Ma/g88VeG9V8GeKNY8Ia9F5Gp6HeXFjdR/3J7aRopF/BlIr+92v5Tv+Cs3wBvvhX+0jc/Emxgx4d+JKm/idVwseoQqkd5ET/eZts2e/mkD7poA/oZ/Y08cxfEf9lb4W+LEYO82g2dtMw5zcWKfZJz/39iavpivxL/4IvfHCDX/hj4m+Auq3Q/tHwrdHU9OiY/M2n3x/fBB/diuMsx9Z1r9tKACv59f+C4PjOOTUPhX8PIWHmQRalqk698StDBAf/Ictf0FV/Ht/wUo+MsHxn/a18WX2l3IutH8L+XoFi6ncpSx3eeVI4KtcvMVI4II60AfTP/BFz4fXWvftCeJ/iE8W6w8KaG0G/H3bvUplWIfjFFP+Vf04V+aP/BKz4B3nwX/ZltPEOvw+TrnxDnGtSoy4eKzaMJZRt9Y8zeoMpB6V+l1ABRRRQAUUUUAFFFFABRRRQAV+Pf8AwWs/5Ng8J/8AY42n/pvv6/YSvx7/AOC1n/JsHhP/ALHG0/8ATff0Afp98Hv+SSeCP+wHpv8A6TR16NXnPwe/5JJ4I/7Aem/+k0dejUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXwp/wAFLPEt34W/Yl+Jl5Yv5c95b2VgPeO9voIJR+MTvX3XXyB+3v8ADjUvir+yH8S/COixefqA05dQgQDLO+mTx3pRAOrOsJRR3JxQB+A3/BIPwnbeJP2w7XVLiFZj4Z0PUtSQsM7Hby7MMPcfaSAfev6uK/kw/wCCTfxJ0v4e/tgaTYavKtvD4y0280JJHbaonmMdzCv1klt1jUd2YCv6z6ACiiigD8if+CxHwU0fxl+zvB8Y4YETXPAF5bhpwPnk0/UJVtpITjrid4nXP3cPj7xr8wv+CP8A4jvdF/bBttJtn2w6/oepWky9mWMJdLx6hoR+Gfev2D/4K1eOtO8Kfsba/wCHrmRVvPGGoabp1sufmJiuUvZCB1ICW5BPbcPUV+WX/BGX4c3/AIj/AGjtc+IZhzpvg/RZUaX+7d6i4ihT/gUSTn/gNAH9PtfkL/wWa+H914k/Zq0TxxYw+Y3g/XYZLhsf6u0vo3t2b8ZzAPxr9eq8p+Ofwt0/42fB7xf8KNTdYYvE+mz2aSsNwhnZcwTY7+VKEfH+zQB/KB/wTb8cxeAv2z/hze3LBbbV7qbSJM8ZbUYJLeEf9/mjr+xWv4P72y8Z/Bj4lyWV5G+keKvBWq4IP3re+0+bII9dsiZB6HqOK/ty+C/xR0P41fCnwt8VPDrq9l4lsIbvajbvJlZcTQk/3oZQ0bf7SmgD06iivnL9rX4x2/wG/Z28cfEtrlba/sNPlh04k4LajdDybUKOpxK6sQP4QT0BNAH8gf7TnjOP4h/tE/ErxpbsHt9V8Q6lLARzm3+0OsP/AJDC1/Ux/wAE0fh9dfDz9jPwDa6hF5V5rsVxrMgxjKahM8tu3425iNfys/s//BzX/wBoH4yeF/hNoG5bjxBeLHNOBu+z2qZkuZ29o4lZ8HqQB1Nf3CaLo+neHtGsNA0eEW9hplvFa28S9I4YUCIo9goAoA06KK4b4ifEz4f/AAl8NT+MfiVr9n4c0a3IVrm8lEal26IgPzO57IoLHsKAO5or5e+FX7aX7Lvxr8Rr4Q+GvxBsdV1qTcIrSRJ7OaYpywhW6jiMpA5xHu4BPQE19Q0AFFFFABRRRQAUUUUAfPv7VvxJk+EP7N/xF+IdtL5N3pOjXX2R8423lwvkWx/7/SJX8V3gbSE1/wAa+H9BlTempahaWzL6iaZUI/HNf0//APBYjxa/h79kQaHFIVPifX9OsXUfxRxLLeHPsGt1/HFfzG/DS+/sv4jeFdT6fZNWsZv+/c6N/SgD+8UAKAqjAHAApaKKACiiigAr8R/+Cl/7f934Ma8/Zp+At88niy+/0bW9StCWksVl4+xWxXn7VIDh2XmIHav7wkx/R3/BRz9ti2/Zh+Hn/CHeCbpG+JPiuB1sQMMdOtTlHvnX+9nKwA8M4LcrGwPy3/wTD/YSn04Wf7Vfx0tHutf1Mm80CyvAXeES/N/aVxvyWnlzuh3fdB8w5dl2AHqv/BOH/gnra/AzTLP41/GOxWf4iahFvsrKUBl0WGVe4PH2t1OHb/lmCUXkuT+vNFFABXmmo/GT4WaT8SNP+EGp+KLG28aarD9otdJklC3U0W123Ih6/LG59cKa9Hllit4nnndY441LMzEBVUDJJJ4AA6mv57v2dviFY/tPf8FbtZ+KmiyfatC8N2eonTXHKNZ2dqNMjmX/AGZWmMoz/f7UAf0K0UUUAFfztftPSzftyf8ABSPwz+z7prtc+Dvh/L9j1AoTsCWxFxq75H3WYqtoD/fRfWv2w/aY+M1h+z/8CvGPxZvShl0Oxc2cb9Jr6YiK1jI7hpnQNjouT2r8xf8Agjl8GL+38IeL/wBpvxeHuNa8cXUtjZXE3Mj2sEpku5t3fz7r5W94fegD7f8A+CgV0uhfsU/FL7CogjXSEtlWMbVWOaeKHaAOANrYx6V+KX/BFa1jm/ai8UXLgE2/hC8K+zNf2AyPwyPxr90v25PDdz4r/ZD+LOkWi75U0C7uwuMk/YV+1EAepEXHvX4O/wDBGHU4rH9q7WrOQ86j4Tv4U/3lu7Kb/wBBjNAH9RtfxZ/tMSSeHv22fiRfWjFJLXxzqN0hHykOdQeUEZx3PWv7TK/jB+Ndm/xE/bu8Y6Np37xtc+IV3Yw45DebqjQIR9eKAP7PqKKKACiiigAooooAKKKKACiiigD8O/8Agt9/yTT4Y/8AYXvv/Sda/b63/wCPeL/dX+VfiD/wW+/5Jp8Mf+wvff8ApOtft9b/APHvF/ur/KgCaiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA+OP2i/wBu79nj9mDXLTwr8RdWuLnXrpFlbT9Mg+1XEEL/AHZJ8siRhhyoZtzDkKRzXuPwY+Nfw3+P/gS1+I3ws1ZdW0a6d4S20xywzx43wzRtho5FyDtI5UhhlWBP8bP7V2s6/r/7TfxV1LxPI8mpf8JNq0Mm9ixjW3upIY4gTztjRFRB2VQK/bX/AIIg6Z4jh+HHxP1e78waDd6rYQ2YP+r+1QQSNdFffZJAG+goA/ceiiigD8lf+CzVvazfsnaTLPjzIPFVg0XruNreKf8Ax0mvxl/4Jialfad+2/8ADcWTEC7fUoJVHR4n065JBx2BAb6gGv04/wCC3HxFs7X4f/Dz4TQzg3mpanNrU0Q+8kVnC1vEzegdrh9vqUPpXxv/AMEdvhPqHjD9pyf4mPC40vwBptzKZgPk+2aijWkMRPq0Tzv/AMAoA/qUoopGZVUsxwBySegFAC0V+UHxI/4LC/sx+BfF9z4V0TTtb8XQ2Exhn1HTYbcWbFeGNu088by7TkZ2qjdVYrgn7i/Z5/aX+Ev7T/g1/Gfwq1NrmK2kEV5Z3CiK9spDkqs8QZtu8AlGVmRgDtYkMAAe+0UUUAFFFFABX8w3/BZ/4f3Xh/8AaM8PeP0h22HizQo4/Mx96706V45V/wCAxPB+df081+Zv/BVb4A33xo/ZouPEvh6Dz9d+Hc7azGirl5bIRlL2NfpHtm9/KwOTQB8N/wDBEDxzFB4g+KHw0nYeZeWthq9uvcLbPJbzn/yPDX9C1fxm/sC/G+D4B/tS+DvF+q3QtND1KVtI1V2O2NbO/wARmRz2SGXy5m9kr+zIEEZFABXzn+154zj+H/7L/wAUfFTsEe28PahFCT0+0XURt4P/ACLItfRlfjp/wWW+MsHhL4DaN8HrC5C6l461BJbmIH5v7O04iZiwHIDXHk7Seu1sdDgA/mx8H+FtV8ceLdE8FaFH5upa/fW2n2qf3p7qRYox+LMK/vE0HR7Tw9oenaBp422umW0NrEPSOFAi/oBX8tH/AASV+Ad58Uf2kIfiXfw58P8Aw2j+3SOy5WTUJ1eOziB9VO+bPbywD94V/VZQB4z8f/gd4T/aO+FWr/CDxvd3tjo+tNbPNNpzxR3Km1njuE2NNHMgy8YByh4zjB5H5y/8OVP2W/8AoavGX/gbp3/yur9gKKAPx/8A+HKn7Lf/AENXjL/wN07/AOV1H/DlT9lv/oavGX/gbp3/AMrq/YCigD+Y7/goX/wT2+DP7Jnwa0T4ifDrWtf1LUdS1+30qSPVbi0mgEEtrdTllWC1gYPugUAliME8ZwR8x/8ABPX9l/wD+1n8Z9a+HPxF1DU9N03TvD9zqscmlSwwzmeG7tIFVmnhnXZtnYkBQcgc4yD+xf8AwWs/5Ne8Kf8AY42f/pu1CvgT/gip/wAnTeKv+xMvv/Tjp1AH37/w5U/Zb/6Grxl/4G6d/wDK6v03+D/wu0D4KfDPw98KvC1xdXek+GrYWtvLeuj3DoGLZkaNI0JyeyKPavSaKAPzj/bQ/wCCjXgL9kjXbPwJaaDL4y8YXUC3UtnHci0gs4JMiNp5/LlO9yMrGqE7fmYqCu7ov2I/29PCn7Y8Gu6Wnh+Twn4m8PJFNNYtci7jmtpTsE0MojiJ2uNrqUG3cmGbJx/Pn/wU5sNVsf23/iSdW3MbmTTpoXYYDQNp1sI9vqFA2ZHdSOor72/4In/B7xHFrnjf48X0Rt9Fksx4fs2bI+0zNLFc3DKO6xCONSe5cgcq2AD+hCiiigD5O/brv4tN/Y++LdxMwVX0C7hBPTdOBEo+pLAD3r+S39lnS31r9pn4TaWiFxceLNEVgBnCfboi5+gXJPtX9GX/AAV8+KNn4K/ZRm8DLKBqPj7UrSyjjBw/2ezkW8nkA/uq0Ucbf9dB61+Qf/BJ/wCFF78RP2uNG8TGHfpXgO1udWumI+XzGja2tkB/vebKJAO4jb0oA/rNooooAKK/ND4/f8FUf2dPgT45v/hyLXVfF+t6RIYL46XHD9ltp0OJIWmmlj3Sp/EEVlB+UsGBA+gf2Y/2zPgl+1jp99L8NL24tdV0sB7rStSRIL+KJsAShEeRHi3HbvR2AOA20lcgH1dRRRQAUUUUAFFFFABXif7S3/JuPxV/7FTXP/SCavbK8T/aW/5Nx+Kv/Yqa5/6QTUAfxsfs2/8AJxPwt/7GrRP/AEuhr+5Ov4bP2bf+Tifhb/2NWif+l0Nf3J0AFFFFAH4K/wDBcXxLdw6J8JPB0T/6NeXGr38yeslsltFCfwE0ldj/AMERvCdta/CX4i+OvJX7RqeuQab5uPmKWNss23PoDdZx71F/wW1+HGpaz8NPh58ULGLzLbwxqN5p92VGSiaokTRu3+yHttuf7zgd6zf+CI/xJ0u48B/EP4QSyqmo2GpRa7DGW+aWC7hjtZWVe4ja3jDHt5i+tAH7oUUUUAFfzFf8Fkvgpo/gH44eHfipoMCWsPxEs5zeRoMBtQ01o0lmx0HmRTQ5x1ZWY8sa/p1r+dD/AILeeOtO1Hx78MvhzayK93oWn6hqNyqnO0alJDFEGHY4tWOPRge4oA97/wCCI/iO9u/hB8RPCkr7rXS9ct7uJT/C17bBHx7H7Ov45r9tK/IH/gjJ8Ob/AMMfs467491GHyv+Ez1qR7U/89LSwQW4f/v/AOcv4V+v1AH8S/7ZHiW78XftW/FrWrx/Mb/hJtTtoz/0xs7h7aEfhHGor+y74X+E7bwH8NfCngizhW3h0DSrKxWNRgL9mgSPGP8AgNfx+/t7/DnU/hj+138TNH1CLy49U1e41m1YDCPb6qxu0K+oUyFD6MpHav66vgj8SNL+MHwh8H/E7R5Vmt/EemW1221t2yZ0AmiJ/vRShkYdmUigD1KiiigDk/Hngjw18SvBmteAPGFot9ouv2ktndwt/FFMpUkH+Fl6qw5VgCOQK/hm+Ivg6/8Ahl8R/E3gC8m33vhXVb3TZJUyu6SxneEuvcZKZFf3gTzwWsElzcyLFDCpd3chVVVGSSTwAByTX8PfxHvb749ftJ+J77whCbm6+IPiu8fTou7tql832dP/ACIooA/tR+GWv3Xiz4beE/FN8Q1zrOk2F7KR0L3FukjYx7tXcVgeFNAtvCnhbRvC1mc2+jWVvZR4GPkt41jXj6LW/QAUV8CftPf8FGvgH+y74n/4QLxEmoeJPFKRrLPYaVHG/wBkWRQ8f2mWaSNELqQwVd7AYLKAVJ2f2X/+CgfwD/ap1eXwn4QmvNC8TxRGZdL1dIoZrhFBMhtmikkSXYBlhkOF+bbgEgA+4qKKKACiiigAr+Qf/gqB8P7rwF+2b41lkh8qz8TraazaHGN6XMKpK3/gRHMPwr+vivxN/wCCzXwBvvFvw78OfH3w/B5s/gtmsNVCrljp946+TKT/AHYZ/lI/6bE9AaANv/gir45i1j4B+MPAMjBrnw1r32kD+7b6jAnljH/XSCU1+y9fymf8Ek/jhB8Lf2mk8EazdC20f4jWv9mHedqDUIj5tkT/ALTNvhUd2lFf1Z0AFfnp/wAFSvGcfg/9izxpAGC3HiGWw0uHPczXMckg/wC/MUlfoXX8+v8AwWx+MsFxd+BPgLpdyHa08zX9TjU52u4NvZBsdG2mdiDzhlPQjIB+TX7Ifw+uvij+078M/BVtF5yXeuWc9wuM/wCiWbi5uT+EMTmv7b6/nS/4Iu/AO81Pxj4l/aM1iHbp2iwPoulll/1l5cBHuZFP/TKHanofNI6qa/otoA8E/al+H918U/2cviP4B0+Lz77V9CvktI+u+7SIyW6/jKq1/EZpmo3Wj6naatZNsubKaOeM+jxsGU/mK/vur+M/9vb4A337PP7S/inw0sHl6Frk8ms6O6rhDZXsjOI1/wCuEm+E/wC4D0IoA/sJ8E+KLHxx4N0HxrpfNn4gsLXUIOc/uruJZU5/3WFdPX5l/wDBKP44QfFb9lvTvCF9dCXXfh1KdIuIyf3n2M5ksZMdk8omFfUwtX6aUAFfy6/8FmfGcevftQaR4Vt2BTwv4etYpR3FxdSy3Df+Qmir+oK7u7WwtZr69lS3t7dGklkkYKiIgyzMx4AAGST0FfxFftO/FW4+Pf7RHjj4mWxe4h8QarKLAYJc2cOLezXb13eQkYxjrQB+xv8AwRB+H11Fp3xO+KlzFi3uZbHRrWTHV4Ve4uV/ASQV++FfJv7EPwIn/Z1/Zq8I/DvVUCa40TahquByL69bzZIzjqYVKw57hAa+sqAPwG/4LffD+6eH4YfFS2hzbRNfaNdSY+67hLm2X8Qs5/CvmL/gjf45i8N/tU3vhO5YBPF2g3ltEvrcWrx3an8Iopa/d/8Abj+A9z+0X+zT4s+HukRiTXYo01HSQRyb6yPmJGPQzJvhz28zNfyOfAf4n6p8CPjb4Q+KFskiT+FtThnuIcbXeAN5d1CQcYMkLPGfTNAH9zVFZeh63pPiXRbDxHoN0l9pmqW8V1a3ER3RzQToHjkU91ZSCPY1qUAYXijxBY+E/DOr+KtTO2z0azuL2Y5xiK3jaR/0U1/Bjq2pXWuave6xeHdc6hPJPJju8rFmx+Jr+uD/AIKe/GWD4SfsleJ7G3uRDrHjfboFmmfmZLv/AI+zjrtFssgJ6Asueoz/ADvfsB/AO8/aD/aa8K+Hnh8zQ9BnTWtXcrlBZ2Miv5bf9d5NkPrhyexoA/q6/Zl+H9z8K/2evh18Pr+Lyb7RNCsYbtP7t2YVa4H/AH9Zq9yopGZVUsxwBySegFAC0V8c+IP+CgX7G/hfxPJ4Q1j4o6aupRSNE/kpcXNujqcMGuYIngGDwcydeK+s9F1vRvEmk2mveHr6DU9Mv41mt7q2kWaGaJxlXjkQlWUjoQcUAadFFFABRRRQAV/IP/wVA+H914C/bN8ayyQ+VZ+J1tNZtDjG9LmFUlb/AMCI5h+Ff18V+Jv/AAWa+AN94t+Hfhz4++H4PNn8Fs1hqoVcsdPvHXyZSf7sM/ykf9NiegNAG3/wRV8cxax8A/GHgGRg1z4a177SB/dt9RgTyxj/AK6QSmv2Xr+Uz/gkn8cIPhb+00ngjWboW2j/ABGtf7MO87UGoRHzbIn/AGmbfCo7tKK/qzoAK/PT/gqV4zj8H/sWeNIAwW48Qy2Glw57ma5jkkH/AH5ikr9C6/n1/wCC2PxlguLvwJ8BdLuQ7Wnma/qcanO13Bt7INjo20zsQecMp6EZAPya/ZD+H118Uf2nfhn4KtovOS71yznuFxn/AESzcXNyfwhic1/bfX86X/BF34B3mp+MfEv7RmsQ7dO0WB9F0ssv+svLgI9zIp/6ZQ7U9D5pHVTX9FtAGL4k0O08TeHtU8N34za6taz2ko6/u50Mbfoxr+DzxV4b1XwZ4o1jwhr0Xkanod5cWN1H/cntpGikX8GUiv73a/lO/wCCs3wBvvhX+0jc/Emxgx4d+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GXT93X7V4juXx9fJMtAH75UV+Ith/wTq/a1u8f298XbeDPXytR1O4/9DjirtLH/AIJi/E25wde+OV4nqsNpcTZ/4E94n8qAOz/4KX/s0x+N/Bg+OvhO1zr3haIJqaRrzc6aDnzCB1e2J3Z/55lsn5FFfln+yf8AtQ+J/wBmnx7HqcDSX3hbVHSPV9ODcSR5wJogeBNF1U8bhlCQDkfqPa/8EttDnjMXiL4q69qCOCrrGiRBgeCCJHl4PvX45/tA/CS8+Bvxf8S/DK6d54tJuP8ARZpAA01pMokt5DjA3GNl3Y4DZHagD+sjw14k0Txh4e07xV4au0v9K1aCO5tp4z8skUqhlYZ5HB5B5B4IBrcr8rv+CU3xH1TxJ8KPE3w91Kczx+EL6GS03f8ALO21ESP5YPoJYpGHpuPbFfqjQAUUUUAFFFFAHx/8Qv2KPhD8WvjJP8YfiT9r1uR7e2t49MMnk2a/ZxgM/l4kfPXbvC9chgePqnQPD+heFdHtfD3hnT7fStLsU2QWtrEsMMS5zhEQBQMkngdTmteigAooooAKzNJ0TRtBtms9DsLfTrd5HlaO2iSFDJIdzuVQAFmPJPUnrWnRQAUV8QftSeOv2xfAPiSx1n9n7wnY+KvCyWCm8ilh+0XK3glk3bYo54p2Ux+XjYG5zXwiP+Cq3xg8N30uk+Ofhvp8V/bHbNAHurGVG7hkm81lPsaAP1n/AGjnVP2eviezkKB4X1rk/wDXlLX88H7An/J3Pw9/67X3/pBcV7Z8ef8AgpV41+Mfw41T4caL4Tt/C9vrcf2e9uRePdzNbk5eOP8AdRKm8fKxIb5SQME5HmH/AATp0G91r9rTwjdW0ZeHSIdRvLg/3I/scsKn/v5Kg/GgD+miiiigAoor5g/bD+MkPwR+AXiTxRDP5Or38R03S8HDm9u1ZFdfeJN0v0SgD8IviFbXX7VX7beq6Rozl4fFHiH7DFMnO3T7LEBnHsttCZPwr+nOztLbT7SCwsoxDb2yLFGi8BUQbVUewAxX4/f8EuP2eZ9K0+//AGg/FNoY5tSR7HQ1kHIt84uLkA9PMYCNDwdqv/CwJ/Sn45eFPin4y8CSaR8HfFieDfEa3EUqXssInR40zuhYFW2hyQSwViMYxg0Aew1+M3/BXmWMWPwtgLDzGk1lgO+ALME/rXBfGL4yf8FJP2bttx8QNYh1PRiwRNVt9PsrmyLE4CtKlvG8bE9BKqlu2a/Ov4x/Hb4n/HrXrbxF8TtX/tO5sofItkSKOCGGMncQkcaquWPLMcseATgAAA/ZX/gkx/yRjxh/2MB/9JIK/VWvgL/gmz8OdW8A/s1Wl9rcH2efxbfz6xGjffFtLHFDAW9nSLzF/wBlwe9e2fH39qr4Q/s7aaz+NNUFzrUib7bSLQiW9mz90lMgRIf78hUddu48UAe9a/4g0Twrot54j8SX0OmaXp8bTXFzcOI4oo16szNgAf8A6q/nl/bO/bQ1f9pDVE+GHw3tpYvBUF0nlL5RN3qtyrbY5CmCyJk/uoh8xJ3P82FTI8Y/EL9p7/goR46HhvwxpsqeH7WUPHp1u7R6ZYqThZrydgA8mM/M3zHkRIMla/WL9lf9hn4ffs8QweJtZMfiXxyV+bUJE/c2hYYZLONvu8cGVvnYZxtUlaAPwP8AHfwc+Nn7Oeq+GvEnjLRbnw3eXPk6jptydjhJoWEigldyrNGQC0b/ADLxkYr9gv2Yv+ClXgzxpZWvhL49TReGvES7Y01QLs0677BpSOLZz/Fn913DJkKP0b+I3w38FfFnwle+CPH+lxatpF8Pnik4ZHH3ZI3GGSRf4WUgj6Zr+ej9qf8AYN+IfwGurvxR4Rjm8UeBQS4u403XNknXbdxoOAv/AD2UbD1YISFoA/pHs7y01C1hvrCdLm2uEEkcsTB0dGGQysuQQRyCKs1/Jj8JP2m/jh8ECkPw88VXNnp6sWOnzEXNixJy37iUMilu7IFb3r9Jfh7/AMFbJUt4bT4qeBfNmXHmXej3G0N9LW4zg/8Abf8AAUAftTRXz/8AAD9pX4b/ALSWj6lrHw8+2xrpDxR3UV9B5MkbTBmQZVnRuFOdrHHfqK+gKACvlj9pz9rD4e/s0+HDNrEq6n4ovYmbT9IicebKeQJJjz5UIPVyMnBCBiCBo/tSfEr4tfDfwDayfBbwlN4p8Ta7eLp1uY0Msdk0qMwuJYx95RtwCxWNTgu2Plb5R+BP/BPx5/ETfGD9qvUj408YX0guX0+R/OtIpOo+0OeJ2XgCNQIVA2gOuMAHxl8Jv2aPjl+3N4/l+NHxlvZ9I8L3zhjeMux54EPy22mwvkLEo4EhBQHJ/ePuB/df4c/DXwR8JvCdp4J+H+lRaRpNmPljjGWdzjdJK5y0kjY+Z2JJ+mK7aKKKCJIIEWOONQqqoAVVAwAAOAAOgqSgAor5p/aT+LXxc+EOj6Rrvww+HU3xBt5JJv7Sjt5GWW2jQKYyqRrJI28luVjYKF+bGRn4v0T/AIKy/DvzWtvGvgDWdIniJSVLWaC7KMDggiX7Mcg+oFAH6D/tCf8AJA/iV/2LOs/+kUtfzp/sF/8AJ23w8/6+Lv8A9Ip6/Q745f8ABS/4L+LvhD4p8IeCNI1mfWPEem3Wmxi7ghghgF5E0LSOyzSE7FYkKoOSACQOR+ev7A0Uk37XHw9WMbiJ71j9Fsbgk/kKAP6h6KKKACvy3/4KPfssW3xB8HT/ABx8GWYHifw1Bu1KOJfmvtOjHzOQOsluvzA9TGGU52oB+pFMkjjmjaKVQ6OCrKwyCDwQQeoNAH8cfgjxjrvw98X6P438M3BtdU0S6iurdwf442zg+qsPlYHggkHg1/YR4f1m28RaDpviCyBW31O2huow3UJMgdc++DX4z/Ef/gljrmp/GMX3w/1eysfh9qd0J54pmcXenxM26WGFAjLKAMiElhjhX6bm/aTT7C00uwttMsIxDbWkSQxIOixxqFVR9AMUAW6KKKAP5Ifh3fWln+0X4Y1K/nS2toPFVlNLLKwSOONb5GZmZsBVA5JJwBX9Sn/C5/g9/wBD1oP/AIM7X/45X8pvgzQNP8ZfGTQvC2rFxY65r9rZTmM7X8q5uljfaSCA21jg4PPav3i/4ddfsyf39d/8Dk/+M0AfaH/C5/g9/wBD1oP/AIM7X/45Xgf7UvxX+F2rfs5/EbTNK8Y6Ne3lzol5HFDDqFtJLI7RkBURXJYnsAM15X/w66/Zk/v67/4HJ/8AGa8l+PH/AATu/Z9+HPwZ8Z+PPDz6wdT0HS7m8t/OvEePzYkLLuURAkZ6jIoA+J/+CaL7f2q9HX+/p2oj/wAgk/0r+kyv5pv+Cbcvl/tZeG0/562mpL/5KSN/Sv6WaACiivh39qL4WftX+IvFVl47/Zw8fLosdlp6W02izSbIp5o5ZZDMgkSWBndZFQh1XhBljwAAfcVFfgP4h/bv/be+BWvHwp8W9F099RjGduqad5fmqOC8UtlJDFIv+0hZc1k+Kf8Agqn8d9c0G50nRNE0bQru6iMf22COeWaEtwXiWWVkDDtuVwPQ0AfP37dni618Z/tVePNQsJBJbWNzDpyEHI3WMEdvKM/9dUev3m/Yi0Z9C/ZT+HNlIuwy6e11j2vJ5LgH8RJmv5kvBPhLxD8T/HekeDdFD3eseIr2O3Rmy5Mk7/NI564XJd2PQAk1/Xx4V8O6f4Q8MaR4T0ldljotnb2UA6Yito1jQf8AfKigDeooooAK/O7/AIKeeLD4e/Zjm0RHw3ibVrGxIHUpEWuyfpmBfzFfojX5if8ABVDwR4h8SfBDRPEuiwSXNr4Z1Tzr5Yxny4J4mjEzD+6j7VJ7b89MkAH5M/sS6odH/aq+HF2DjzNRNv8A+BMMkH/s9f1Q1/J1+yfaXd5+0v8ADKGyUtIuv2EhAGT5cUyvIfoEUk+1f1i0AFFFY/iLUNQ0nw/qeqaTYtql9Z2s00ForbGuJY0LJEGwcF2AUHBxnoaANiivyk1H/gqCvg3UzonxS+D+t+FtQT70ElwDIB6hZ4bckeh6Gty3/wCCr/7P0kDNceHPEsUwBIUW1myk+m77WD+lAH5cft9f8nc/EL/rvZf+kFvX9Knw5/5J74X/AOwXZf8AohK/lF+PHxRf40/F7xP8T2tDYLr10JI4GYM0UMaLFErMAAWCIuSB1zX9X3w/hkt/AfhuCZdskem2asD1BEKAigDrqKKKACiiigBrrvRkyV3AjI6jPpXyl8B/2QPht8DPEGr+N4Z7nxR4t1e4nlbWNVKy3UUczElEOMBiD+8k+/Ic5IU7R9X0UAFFFFABX8iHgmQSfHTQJezeI7VvzvFNf131/Ht4CvAvxS8O35PA1m0lz/28K1AH9hNFFFABRRRQAUV+YnjX4U/8FI/DE91qPw8+LOn+J7Yu7paz2lpb3BBJIVVuLZ4gB05mFfGHjX9tb9vT4M6quifFC0j066bOz7fpMKRzBepilhCRyAdzGxHvQB+sH7b15b2P7KfxGmuWCK+nrECf78s8caj8WYCvxg/4Jn/8nVaT/wBg3Uf/AETXl3xx/bO+OX7QHh2Hwj43vrW30WOVZntbC38hJ5E+40pLOzbTyF3Bc84yAR7J/wAEwdKvdQ/aeivraIvDpmj380zdkR9kIJ+rSAUAf0bUUUUAFfzV/wDBSTxsvi/9qTWNPi5h8L2VnpSN6lUNzJ+Ulwy/hX9KlfyN/tE3Gq3Xx8+I0+thhet4h1TzA4KkYuZAowegC4A9sUAfvn/wTatBbfsneHZh/wAvV5qUp/C6eP8A9kr7xr4o/wCCd0Qj/ZA8Ct/z0bVG/wDKlcj+lfa9AH4R/wDBW3/kpPgP/sE3H/pRX6Af8E6v+TQ/BX/XTVP/AE43Ffnh/wAFaZ93xd8F22f9XobP/wB93Uo/9lr9D/8AgnV/yaH4K/66ap/6cbigD7cooooAKKK8r+M/xa0b4I/D+++I3iDTb/VdP054lmh02JJrgLK4TeFd412rnLEsMCgD1Svib/gol/yaD44/39L/APTlbVw2l/8ABT/9mDUADdyazpme1xYBsf8AfiSWvln9t79ur4R/Fr4N3Pwr+Fct1qk+t3Ns13cTWz20MNvbSLOAPNAdnaREAAXGAxJ6AgHL/wDBJP8A5Kf45/7A8P8A6ULX7wV+E3/BJG1nf4i+Pb1UJhi0q2jZscBpJ8qCfUhGx9K/dmgAooooAKKKKACiiigAooooAKKKKAPkn9rP9lDwr+014PELlNM8XaUjnS9S29CeTBPjloXP1KH5l/iVvyz/AGaP2kfiB+xR48u/gR8etNuLfww1xudGBkk055T/AMfNsRkS20n3mVM55dPm3K/9AVeD/Hr9nL4Y/tE+Gv7B8e2H+l26t9i1GDCXlm7d43IOVJ+9GwKN3GQCAD2XRda0jxHpFnr2gXkWoabqESzW9xA4kiljcZVkZcggitOvxV8L6d+1D/wT019rW8s5/iL8HJ5i0rWSM5tUc5aZY8s1rKOrKSYZCcb9x3L+x3hnxFpXi/w5pfivQpTPpus2sN5bSFShaG4QSISrYIJVhkEZHegDcooooAKKK+ZP2kf2q/hp+zXoH2rxNP8A2h4guoy1jo9u4+0znoHfr5UWesjDsQoZhtoA7L48/HbwR+z54BuvHPjSfOMx2VmjAT3tzjKwxA/mzYwi5J9D/NDreqfFz9sD44Pdx276v4n8TThIbeLIgtbdeFQZyI4IU5Zj2yzEsST63Fo37Sf/AAUG+KsmtCBp7aF/KM7BotI0e3Y58tSc84wdq7pZDyc9R+6P7NP7K/w8/Zo8NvYeG0Oo69foo1DVp1AnuCOdiDnyoQeVjBPYsWYZoA2f2aP2fvDv7OPwxs/AujuLu/lP2nU77bta6vHADMO4jUALGvZRzlixP0FRRQAV8Wf8FDv+TPvH3/cK/wDTpa19p14N+0/8ONS+LfwC8a/D/Roln1HU7EtaRsQoe5tpFuIVyeAWeNQCeAetAH4Q/wDBNrUrWw/av8PW9w21r+z1GCP3f7M8uPyQ1/SvX8bWjax4m+H/AIrtda0mWbSNe0C7WWJ8bJbe5t37qw4KsMFWHqCOor9VPCf/AAVt8badpMNr4y8AWWt30aBXubW+ewWRh/EY2huACe4BAz0AHFAH7o0V+Kn/AA97uf8AolKf+Ds//IVcD4//AOCr/wASdf0S50zwH4QsvC13cIUF5NdNqEsWRy0amKFN3oWVgPQ0AeFfty/EZL/9srXdf0uTz4/Clzp9rEQf+WmnpG0q/wDAZ96/hX9JOha1pviTRNP8RaNOtzp+qW8V1byqcq8MyB0YEdipBr+NW8vLvUbyfUNQne5urqRpZZZGLvJI53MzMeSzEkknkmv6AP8AgmZY/H+D4cTzeP7hovAITboFpeQkXZLMHaWGQkMLXGQqsGDMcoVVTvAP0/ooooAK+ef2j/2kPAv7N3giXxL4nmW61S5Vk03S0cC4vJh2A5KxKSDJIRhRxyxVTwn7U37UU3wQj0/wT4C0Kfxd8R/EkTPpmmQRSTCOPJT7RMsXzsu4EKi4LFTyoBNfGHw1/YI+KXxu8Yn4wftja5M9xdlX/siGUG4eMcrFJJGfLtoh2ihycE/NG2aAPjX4YfB/40/t8/GPUfHvieaS20ea5B1PVihFvawr920tFY4Z1TCogJ2jDSHnLf0Q/Df4ceEPhN4M03wF4FsV0/SNLTZGg5d2PLySN1eR2yzMep9sCtnwt4V8N+CNAs/C3hHTYNI0nT08uC2tkEcca9TgDuTySeSSSSSSa6CgAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAr8ufDH/ACmT8N/9guf/ANMdxX6jV+XPhj/lMn4b/wCwXP8A+mO4oA/fqiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAP5U/+Ckv7Dvif4FfEPV/i/4H0+S8+G/ia7e6aSFd39k3dyxaS3mVR8kLOSYX+7giMncAW/Tn/gnX+3N8Bdd+CPhD4M+Ktbs/Bvi3wraRaYLa/kW1t75Yvljmt53IjZ5BgvGSH8zdgEEE/rTfWNlqllPpupW8d3aXSNFNDMgkjkjcYZHRgQykHBBGCK/Lz4yf8EjP2X/iVfz634O+3/D3UJyzNHpbpJYF2/i+yzq2weixSRqP7tAH6jR3NtNALqKVHhYbg6sCpHrkcYr4e/aX/wCCg37Pn7OmgXudftPFni1UYWuiaXcJPK0w4AuZY96WyA8sZPnxnYjHivz2P/BDm33lE+NMotyR8n9gjOO4J+34JJxzjt0Pb2X4df8ABF39n3w5dJe/EPxPrXjBo2B+zoY9NtXHcOsQebn/AGZloA/FjwH8M/j3/wAFCf2hNX1m0ia81PXbwXesao6sLHS7ZyEXcxPCRxqEhiBLsECrnBI/rb+B/wAGvB3wA+F2hfCjwLCyaXocOzzJMGW4mcl5p5SOryuSxxwM7VAUADf+Hvwz+H/wn8NweEPhr4fs/Dmj2/K29lCsSs2MF3I+Z3OOXclj3JruaACiiigD8Nv+Cp37B+p+O3n/AGlPg3pcl9r0Mar4h022QvLdwxIFS8hQctLGihJUUEsgDAZVt3x5/wAE0/2+NL/Z0vLn4PfF64eLwBrFw1zbXwR5W0q8cBXLIoLG3lwNwUEo43AYZzX9RlfnZ+0T/wAEx/2bPj9qd34ris7jwV4ovpDNPf6OVSO4kY5Zp7Vw0TMxyWZBG7McsxoA+s7n9oP4EWfhk+Mrj4h+H00MIZBef2nbGFlA3fKwk+Y46KMk9AM1/Nf/AMFGf23U/aw8YaX8MvhOs9x4D0G5D2rCJ1n1bUZAYxMISN4RQxSBCoc7mZhlgq/ZUf8AwQ40AX4km+L901lk/u10VFlxxgeYbsrnrzs/Djn78/Zr/wCCeH7Ov7NF7a+JtB02bxH4ttslNZ1ZhNNCzDBNvEoWGHgkBlQyYOC5FAHhn/BMf9iC5/Z48ITfFj4m2Jg+IfimDy1tpQN+lacxDCEjtNMVV5e6gKnBD7v1doooAK/nf/4LYfDTxzP4z8D/ABat7Oa58JQ6W2kzTRqzR2t4LiSYebjhPOSRQhP3jGR1Ar+iCs/VdJ0rXdNudG1yzh1HT72Nop7e4jWWGWNxhkeNwVZSOCCCDQB/AnX9nf7AnxA1v4nfsf8Awz8XeIp3udRewlspZpOXk/s25msldj/EzLCCWPJPJ5r+Y79v74b/AA5+E/7WHjbwJ8K7cWeh2T2kgtUbfFbT3NtFPNDEeSEV5Dhf4PudFr+p/wDY9+GV98Hf2Yvhz8PNViMGo6bpMUl5E3WK6vC11PGfdJZWX8KAPpOiiigAooooAK+E/wBvf9jzTP2tPhV9l0oR2vjrwyJbjQ7pztV2cDzbSU/8859qjd/A4Vum4N92UUAfxr/sxfHr4kfsIftBzXviPRbq2WJjpniPRLhTFM9sWDEqrYAmjIEkTdD0zscmv6qvht+1L+z58WPCsPjDwZ480mexePzJUuLqO1uLbH3luIJmWSIg9dwAPUEgg1zH7Rf7GvwD/ahtkf4n6CTrNvF5Nvq9i/2bUIEzkKJACsigkkJKjqCSQASTX5iav/wQ68LzXZfQfi5eWlrniO50eO5kAyP40uYQeMj7nXn2IBJ/wUl/4KL+CZ/A+q/s/wDwD1qHXb/XUe01zV7Rt9rb2bDEltbzL8kskwJV3QsipuUEu3yeD/8ABLb9hXU/HnivT/2jvixpUlv4U0ORLnQba4Qr/ad6jZS52nk28BAZT0kkxglVcH77+Cf/AASI/Zu+GWqR6/47uLz4i30DK0UOohYNPRl5ybaLmTnqssjoRwU71+qdvb29pbx2trGsMEKqkcaKFREUYCqBwABwAOlAE1FFFABRRUU0SzwyQMSBIpU464IxQBz11418G2MLXN7r1hbxJ955LqJFH1JYAV/NV/wV9/aE+HXxi+JPgvwZ8OdZt/EFv4Jtb83d5ZyLNbfatQeENCkqEq5jW3UsVJUFsZyGA+6/+HJ/7OH/AEOfiz/v/Yf/ACHR/wAOT/2cP+hz8Wf9/wCw/wDkOgD4O/4JEftG/Dj4K/Ebxn4L+JWsQeH7Pxxb2Btb67dYrVbrT3m2xSysQsfmLcMVZsLlcEgkZ/pe0/xh4S1dYn0rW7G9WcgRmC5ikDk9Au1jnPtX5Jf8OT/2cP8Aoc/Fn/f+w/8AkOus8Bf8Ef8A4AfD3x14c8faT4u8Tz33hrUrPU7eOaayMTy2cyzIrhbRW2lkAOCDjoR1oA/WSiiigD8Nv+Cp37B+p+O3n/aU+DelyX2vQxqviHTbZC8t3DEgVLyFBy0saKElRQSyAMBlW3fHn/BNP9vjS/2dLy5+D3xeuHi8AaxcNc218EeVtKvHAVyyKCxt5cDcFBKONwGGc1/UZX52ftE/8Ex/2bPj9qd34ris7jwV4ovpDNPf6OVSO4kY5Zp7Vw0TMxyWZBG7McsxoA+s7n9oP4EWfhk+Mrj4h+H00MIZBef2nbGFlA3fKwk+Y46KMk9AM1/Nf/wUZ/bdT9rDxhpfwy+E6z3HgPQbkPasInWfVtRkBjEwhI3hFDFIEKhzuZmGWCr9lR/8EONAF+JJvi/dNZZP7tdFRZccYHmG7K5687Pw45+/P2a/+CeH7Ov7NF7a+JtB02bxH4ttslNZ1ZhNNCzDBNvEoWGHgkBlQyYOC5FAHhn/AATH/Yguf2ePCE3xY+JtiYPiH4pg8tbaUDfpWnMQwhI7TTFVeXuoCpwQ+79XaKKACvxe/wCC0Xw08c+LfhJ4K8ceGrOa+0bwhfXjaskKs5hS8jiWK4dR/wAs0MbIzfwlx2JNftDTJI45o3hmQPG4KsrDIIPBBB6g0AfwDV/V5/wSK+IGt+OP2RLfTdane4/4RDWr3RrZ35Itkjguo0z3CfaSi+igKOAK/ID/AIKwfCb4UfCT9pCxsfhdp0Oi/wBu6NDqeo2NqAlrDcyzzRho414i8xIwzIoA/iAG6v2t/wCCWnwxv/hp+x54Zl1WIwXni64udfdG6iO7Kx27f8Dt4onHs1AH6JUUUUAFFFFAHx/+2l+yX4c/a5+FDeELudNM8SaQ7Xeiaiy7hBclcNHJgFjBMAFkA5BCuASgB/n9/Zr/AGg/jP8A8E1PjNq3w7+Lnhu8Hh3UpE/tbSWwGO07Y9QsJD+7kO0EZVtkqjaWDKrJ/WFXkfxg+A/wi+Pfh8eGvi34Xs/EVnHu8lp1K3FuX+80E6FZYmOBkowzjnIoAxfg7+018Cfj1pcGpfC3xlp+ryTLk2XmiG/iOORJaSbZlx6lcHqCRzXs+p6ppmi2Uupaxdw2FpAN0k08ixRoPVncgAfU1+MHjn/giZ8HtWvGufh74/1jw5E5J8m9t4dTRT2CFTauFH+0zH3riIP+CINnPcI2ufGm6vIUCgKmiBHAAGcM97IBk9Bt496APcP22v8Agp78Mvhh4R1TwH8Bddt/FXjzUI3tlvrBxNY6UHGDOZ1zHNMuf3aIWAbmQjG1/hP/AIJpfsE+JviZ4z0r9oj4x6dLaeD9ImS+0u2vEPmazdqd8cxV+TbRthyzDErYUbl3mv1E+Cf/AASz/ZT+DuoQa7faTc+OtWgwyS6+8dxbxuO6WscccJ9vMWQjsc81+jaIkSLHGoREAAAGAAOgAoAdRRRQA13SNGkkYIiAkknAAHUk1xur/Ej4d+H7Y3uveKdK023UEmS5voIUAHUlncCrXjrwlY+PvBPiHwJqk0tvZ+I9Ou9NnlgKiVIryFoXaMsGUMFYlcgjPUGvyZ/4cn/s4f8AQ5+LP+/9h/8AIdAH52/8FWP2qfAH7Q/xJ8L+FfhdqC6zoHgaC7V9Riz5FzeXzReaIcgb0jWFAJOjEttyoDNyP/BML9qfwX+zT8ZdWtviVcNp/hfxnZpZz3uGZLS5t3MlvLKqBmMZ3OhIHylwx+UMR+oH/Dk/9nD/AKHPxZ/3/sP/AJDo/wCHJ/7OH/Q5+LP+/wDYf/IdAH6qeH/in8MvFljHqfhfxbpGr2kqh1ltL6CZCrDIOUcjmu3gnguoUuLaRZYpBlXQhlYeoI4Nfjp/w5P/AGcP+hz8Wf8Af+w/+Q6/T/4K/CfQvgb8LfD3wm8NXdzfaZ4bgNvBNeMjXDqXaTLmNUXOWI4UcUAeo0UUUAUb3U9N0xVfUbuK1VyQplkWMEj03EZrwf4u/tV/AH4JeGr3xH468a6bEbRGKWVvcx3F9cSAErFDbxsZGZiMZwFGcsVGTXC/tZ/sYfDv9sG08M2fxA1nVdITws93Jb/2W8CGQ3giD+Z58MuceUNuMdTnNfF//Dk/9nD/AKHPxZ/3/sP/AJDoA/nM+J3je6+JnxJ8V/Ea+i8i48U6rfao8W7f5bXs7zFA2BkLuwDgdOlf0mf8E2P22vg54i+BXhn4OeOPEln4a8YeELc6ekOpTrbx3trCSYJbeWTajERkI0e7eChONpBrG/4cn/s4f9Dn4s/7/wBh/wDIdH/Dk/8AZw/6HPxZ/wB/7D/5DoA/XSy8T+GtTaJNO1a0umn/ANWIp43L/wC7tJz+Fblfln8JP+CTXwJ+DnxM8N/FLw94q8SXepeGb2O9t4bqazMDyRHIWQJaoxU98MD71+plABX8cH/BQ/4aeOfh5+1n8QLrxjZzR23ifVLnVtMumVvKubO6ffH5bnhvKB8pgPusuOmM/wBj9eW/GH4S/DH4z+BtQ8GfFnR7XVtDmjdmNwFDWxCn9/DKfmhkQZIkUgj6ZFAH8Snwr8f638K/iT4Z+I/h2d7fUPDuoW97EydT5TgshHdXXKsDwVJB4Nf3eA5Ga/h9+AHwtPxg/aJ8H/C/w6JLu01nW4Yi7DD/AGCKTzJ5WA6bLdHc/Sv7g6ACiiigAooooAK/Db/gqd+wfqfjt5/2lPg3pcl9r0Mar4h022QvLdwxIFS8hQctLGihJUUEsgDAZVt37k0UAfy5/wDBNP8Ab40v9nS8ufg98Xrh4vAGsXDXNtfBHlbSrxwFcsigsbeXA3BQSjjcBhnNf0WXP7QfwIs/DJ8ZXHxD8PpoYQyC8/tO2MLKBu+VhJ8xx0UZJ6AZr5M/aJ/4Jj/s2fH7U7vxXFZ3HgrxRfSGae/0cqkdxIxyzT2rhomZjksyCN2Y5ZjXxZH/AMEONAF+JJvi/dNZZP7tdFRZccYHmG7K5687Pw45APjX/goz+26n7WHjDS/hl8J1nuPAeg3Ie1YROs+rajIDGJhCRvCKGKQIVDnczMMsFX9U/wDgmP8AsQXP7PHhCb4sfE2xMHxD8UweWttKBv0rTmIYQkdppiqvL3UBU4Ifd7n+zX/wTw/Z1/ZovbXxNoOmzeI/FttkprOrMJpoWYYJt4lCww8EgMqGTBwXIr7qoAKKKKAMDxX4W0Dxv4Z1Xwd4qsk1HRtbtpbO8tpM7JYJ1KOhxgjKk8ggjqCDX8gH7ZH7Inj/APY6+KheyF1N4RurkXHh/XEBH3T5iQySJgJdQ45+6W2+YoAOB/Y9XJeOfAfg34meFr7wV4/0e217Q9STZcWl0gkjcA5B9VZTyrKQykAggjNAH53fsU/8FH/hf8dvBmn+G/itrtj4V+I1hEIrqO8kW1ttRKYAuLaRyI9z9XhyGVs7VKYNe/ftD/twfs//ALO/hO71nW/E1lreuCN/sWjadcx3F5czhcorCMv5MZON0smFA6bmwp+IviZ/wRY+CfiXVbjUvhp4w1TwXDPytnNEuqW8J9IzI8U232eVz/tVzXg3/giL8NtN1KK58d/ErU9ds45NzW9jYxacXQHhDI8lyRnoSAD6Y6gA/Ivwp4K+OP8AwUL/AGldS1K2gNxq/iW8W61S9CMbLSrLIjVnJPyxQxKEiQtufaFGWOa/rl+C/wAIfB3wH+GWhfCrwHbmDSNCg8tWfBlnlYl5Z5SMZklcs7YwMnAAAAEPwe+B3wq+AfhRfBfwl8PW/h/TN3mSiLc8s8uMeZPNIWklfAxl2OBwMDAr1egAooooA/m3/wCCo37B+qeDPE2o/tIfCHS5LrwzrMklz4gs7dC5067c7pLtVHP2eYks/GI3ySQjAL1P/BM7/goj4V8B+GrT9nj496oulaXYsV0DWbgnyIUlcsbS6fny0VmzFK3yKpKMVVVr+hyWKOaN4ZkEkcgKsrDIYHggg9Qa/Lf44/8ABJP9mr4ranL4g8Gm7+HWp3Ds8y6XtlsJGbkn7JLxHz0ELxoP7vegD7d8ZftJ/AHwD4Xl8ZeKviBolrpMcZlWRL6GdplHaCOJnkmY9ljViewr+XL9sz9pnxj+3Z8d9N0nwBpN3c6Jp7vp3hnSoo2kupzMw8y4eNc/vZyqkgcIiqpJKsx/RnTf+CHPhuK936v8Xbu5tP8AnnBo0cEnU/8ALRrqUdMD7nXn2H6X/s3/ALFHwA/Zci+1/DjRGn1+WLyZ9Z1B/tGoSocblD4VIlbAysSIDgbs4zQB5/8AsA/se2P7J/wnEWtok/jzxQIrnXLhSHERUExWcTDgpAGOWGd7lmzt2gfedFFABX8hP/BULxh4o8Uftn+ONO8RTSfZ/Dv2Ow0+3diUgtRaxTDYOwleRpT7vX9e1fml+2r/AME3PBP7V+vw/ETQ9cbwf41jhjt7i5+zi5tb6KIYj8+MNGwlQYVZQx+QBSrALtAP5avhl448VfDX4heHvHngi4kttd0S9hubRojhmkVh8hHdZASjKQQykqQQSK/vAQlkVmXaSASD29uK/F39mv8A4I++F/hX8QtO+IXxb8Wp4xOhzpc2WmW1p9ntGnibdG9y0jyNIqkBvLCqNwG5mXKn9pKACiiigAooooAK/Kv/AIKY/sOzftHeEIvil8NLPzPiN4Xt/LFumAdVsFJc2/PHnRFmeE/xZZDnchX9VKKAP5Gf2Bf2xtV/Y4+KGo+HPHtrc/8ACF6/MtvrdoY2Fzp9zAWRblImw2+MkpNHgMy9iyKK/qA8PftFfAXxV4Yj8Z6F8QtBuNFkjWQ3LajBEsasMgSiR1aJh3VwrA8EA14V+0n/AME/v2dv2m7q48Q+K9Jl0TxXOoU61pTiC5cqML56MGhmwABl0L7QFDqMV+et1/wQ48PtfeZZ/F+6is9w/dyaKjy7ecjzBdquenOzj0OeADxb/gpt/wAFBfDXxj0r/hQPwPv/AO0PCqzJNrWqoGWO+lgfdFbQbsboEdQ7SYw7Bdnyrl/ef+CVX7Cup+DpIf2mPjDpUllq8sbL4b0+5QpJBDMm176VDyryIxSFWwQpZyPmQj6y/Z6/4Jc/s2fArVbXxVqdvceO/EdlIs1vdavtNvbyIcq0NpGBHuBAIaTzCDypWv0joAKKKKAPhP8Ab3/Y80z9rT4VfZdKEdr468MiW40O6c7VdnA820lP/POfao3fwOFbpuDfzh/sxfHr4kfsIftBzXviPRbq2WJjpniPRLhTFM9sWDEqrYAmjIEkTdD0zscmv7KK+Wv2i/2NfgH+1DbI/wAT9BJ1m3i8m31exf7NqECZyFEgBWRQSSElR1BJIAJJoA6f4bftS/s+fFjwrD4w8GePNJnsXj8yVLi6jtbi2x95biCZlkiIPXcAD1BIINflD/wUl/4KL+CZ/A+q/s//AAD1qHXb/XUe01zV7Rt9rb2bDEltbzL8kskwJV3QsipuUEu3yR6v/wAEOvC812X0H4uXlpa54judHjuZAMj+NLmEHjI+5159j9D/AAT/AOCRH7N3wy1SPX/HdxefEW+gZWih1ELBp6MvOTbRcyc9VlkdCOCnegD4E/4JbfsK6n488V6f+0d8WNKkt/CmhyJc6DbXCFf7TvUbKXO08m3gIDKekkmMEqrg/wBKlQ29vb2lvHa2sawwQqqRxooVERRgKoHAAHAA6VNQAUUUUAFFFFABRRRQAUUUUAFFFFAH4af8FCP+UhX7K/8A2FNE/wDT5HX7l1+Gn/BQj/lIV+yv/wBhTRP/AE+R1+5dABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFNd0jRpJGCIgJJJwAB1JNOrlfHXhKx8feCfEPgTVJpbez8R6dd6bPLAVEqRXkLQu0ZYMoYKxK5BGeoNAFXV/iR8O/D9sb3XvFOlabbqCTJc30EKADqSzuBX8yP8AwVY/ap8AftD/ABJ8L+FfhdqC6zoHgaC7V9Riz5FzeXzReaIcgb0jWFAJOjEttyoDN+iX/Dk/9nD/AKHPxZ/3/sP/AJDo/wCHJ/7OH/Q5+LP+/wDYf/IdAH5f/wDBML9qfwX+zT8ZdWtviVcNp/hfxnZpZz3uGZLS5t3MlvLKqBmMZ3OhIHylwx+UMR/Up4f+Kfwy8WWMep+F/FukavaSqHWW0voJkKsMg5RyOa/Kv/hyf+zh/wBDn4s/7/2H/wAh0f8ADk/9nD/oc/Fn/f8AsP8A5DoA/YuCeC6hS4tpFlikGVdCGVh6gjg1LXl3wV+E+hfA34W+HvhN4au7m+0zw3AbeCa8ZGuHUu0mXMaoucsRwo4r1GgAr8Hf+CqH7B2teKr+7/ac+DunyahqDRxjxFpdtGXlkWJQi30CIMsVQBZ1AJwBIOjmv3iooA/lM/4J0ft8/wDDL+s3Hw4+JrT3Xw41ycS74wZJNJu2wrXCIOWhcAedGvzcB0Bbcr/1A+BviJ4D+JuhQ+Jvh74gsfEWl3AylxY3CTp9GKE7WHQq2CDwQDXxv8fv+CbH7L/x+1K98Tajo03hbxLfkvNqWiSC3aWQ/wActu6vbuSeXbyw7c5fPNfC19/wQ+0dbhpNA+Md3ZRsCuJdGWV8HsWS8iBHtjmgD9Jv2mP22fgb+zJ4bvrvxNrltqviaNGFpoNlOkt9PPj5FlVNxt4yfvSSAADO0M2FP85HwP8AgL8Zv+Ci/wC0PrXj3XllttF1PUjd+IdZCkQWcLEFbW2L5DSiILHDGN21QrP8oJr9Z/hf/wAEYPgJ4V1CPUviV4m1XxuYWVhaqqaZaOB1EixGSYg/7MyV+s3g7wX4R+Hvh208JeBtHtNB0awXbBaWUKwQoO5CoAMk8knknkkmgBfBng/w78PvCWj+BvCVmthoug2kNlZwLkiOGBQiDJ5JwOWJJJySSSa6aiigD8Xv+C0Xw08c+LfhJ4K8ceGrOa+0bwhfXjaskKs5hS8jiWK4dR/yzQxsjN/CXHYk1/NJX9/Mkcc0bwzIHjcFWVhkEHggg9Qa/lD/AOCsHwm+FHwk/aQsbH4XadDov9u6NDqeo2NqAlrDcyzzRho414i8xIwzIoA/iAG6gD9f/wDgkV8QNb8cfsiW+m61O9x/wiGtXujWzvyRbJHBdRpnuE+0lF9FAUcAV+oFfnb/AMEtPhjf/DT9jzwzLqsRgvPF1xc6+6N1Ed2Vjt2/4HbxROPZq/RKgAooooAKKKKAPz//AOCgv7GsH7Wfwwgk8ONHa+PPCgmn0eVyFS5WQAy2crHosu1SjHhHAJwpbP8ANx+zr8dfil+xB8eP7duNLurS4sXNhr+hXga2e5tiQXidXGUkU4eJ8fKwB5QsG/tHr5p+P/7InwC/aYt4j8V/DMd5qVrGY7fU7Z2tb+FT0UTRkF1ByQkgdASSFyc0AanwH/ah+Cf7R3h23134YeJLe8uJI1e402WRItRtGI5Se2J3jByNwyjYyrMOa6/4qfG74TfBHQZvEfxU8U2Ph20iRnVbmZRPNt/hggGZZm9FjVj7V+Q3iP8A4Ig+Ari8km8G/FPU9Kg37o0vdOhvXVc8AvFLbAkeoUfSrPhH/giP8PbXVEvPiF8T9V1+2zukisbGLT3c+hllku+PX5cnsRQB+cX7S3xe+J3/AAUj/aW0/QfhJoF3d6dYo9joWnnAMVtv3TXt02fLhMh2mRidqKqJklct/R5+yB+zF4c/ZR+Ddh8OtJkW91a4b7brF+AR9rv5FVXK55ESBQka8fKMn5mYnuPgj+zr8G/2dvDv/CN/CTw1b6LFKF+0XABlvLpl/inuHzJJzkgE7Vz8qgcV7ZQAV/G3+2z8etc+M37V/iPxB46tTe6L4V1WXR7TS1maOMadp1y0bRCQDKNOVZ3cDIZzjhVA/skr8k/Gf/BHf9n3xv4w13xpqXi7xRDd6/f3WoTRwzWQjSS6laV1QNaMdoLEDJJx1JoA+JdF/wCC03i/w5o9j4f0H4R6LYabpsEdtbW8N7MkUMMKhEjRRHgKqgAAdBWn/wAPv/iL/wBEv0r/AMD5/wD4ivqP/hyf+zh/0Ofiz/v/AGH/AMh0f8OT/wBnD/oc/Fn/AH/sP/kOgD5c/wCH3/xF/wCiX6V/4Hz/APxFeL/Gf/gr7+0T8TPDF34T8Habp3gKC/jaKe8sDLNqGxhhlinkYLFkE/Mse8dVdTzX6F/8OT/2cP8Aoc/Fn/f+w/8AkOj/AIcn/s4f9Dn4s/7/ANh/8h0Afmr/AMEiPDLeI/2yrDWZAZG8OaNqmoljyQZEWyyT7/acfjX9XVfCf7Kf/BP/AOE37I/i/WPGvgPWtY1e/wBZsf7Pk/tOS3dI4fNSU7PJgiOSyLnJI46V92UAfIX7dvxp8S/AH9l7xj8RPBoVdcjjgsrOZj/x7y30yW/ngYOWiDl0B43AZ4yK/lv/AGUf2n4v2YPiJf8AxSfwba+NPEU0LQ2dxqFzJGbMzE/aJU2q26WVSF3k5C7h/Ga/rc/aL+Avhb9pb4Val8I/GV9eabpepy200k1g0a3CtbSrMoUypImCVAOVPHTFfnB/w5P/AGcP+hz8Wf8Af+w/+Q6APlz/AIff/EX/AKJfpX/gfP8A/EUf8Pv/AIi/9Ev0r/wPn/8AiK+o/wDhyf8As4f9Dn4s/wC/9h/8h0f8OT/2cP8Aoc/Fn/f+w/8AkOgD5Zk/4LffEkowi+GGkq+OCb64IB9xsGfzr88/2of22Pjd+1jeWsXxCvILDQdOkMtpo+nI0NlHIRt81w7O8su04DOx25OwKGYH9sv+HJ/7OH/Q5+LP+/8AYf8AyHR/w5P/AGcP+hz8Wf8Af+w/+Q6APU/+CRHhf/hH/wBjbTNW2bf+El1nVNQz/e8uRbLP/ktj8K/T2vKfgh8IfDfwF+FXh74R+EZ7i50nw5C8MMt0UaeTzJXmdpDGqKWLuTwor1agD83v+Cqvw08c/Ez9kzULXwHaTajc6Dqlpq13a24Z5ZrK3SVJdqLy/lmRZSP7qE9RX8klf3+V/N5/wWZ+EPwk8B+KfAvjfwbpcGjeKPFx1E6pHaKscVylt5BS4kiXAEpaVgXABk53ZK5oA+g/+CJHxA1vWfhv8RvhxfzvNp/hi/sL2zVuRF/aiTiVFPZd1tu29MsT1Jr9wK/G7/gi78Mb/wAMfAfxT8S9QiMP/Cbassdrn/lpaaWrRCQe3nyTJ/wGv2RoAKKKKACiiigAqpe39hp0Qn1C5jtYydoaV1RSx5xliBnirdfMn7VP7LHgj9rbwJpnw/8AHmqajpVjpepR6pHJprwpK0scMsAVjNFKu3bMx4UHIHPUEA9C8ffHf4N/C/QbvxJ478ZaVpNlZxmRvNu4vMfHRY4gxeRz0VUUkngCv4nPiz4zj+I3xU8ZfEKGNoY/FGtajqio4AZBe3Mk4UgEjI34ODX9Fn/Dk/8AZw/6HPxZ/wB/7D/5Do/4cn/s4f8AQ5+LP+/9h/8AIdAHvX/BP39qn4PfET9nHwJ4PbxPYad4o8JaTZ6Ne6Zd3EVvcg2Ea28cqRuwMkciIrBlyATg4YEV+g9jqumamHOm3kN35eN3lSLJtz0ztJxnFfj9/wAOT/2cP+hz8Wf9/wCw/wDkOvsL9kv9iH4bfse3Hie4+H+t6vq58VLZpcjVJLdxGLIzFPL8iGHGfObOc9BjHOQD7OooooAKyLvxDoGnzPb3+pW1tLHgsksyIygjIyGII45rXr8zvj3/AMEtvgl+0J8Wtf8AjD4s8T+IdP1XxC1u08FlLaLbobe3jtl2CW2kflYgTljyT24oA8l/4Kv/ALTHwnj/AGcdU+DHh/xJY614n8V3dirWljPHcvbW1pcpdtLOY2IjBaFUUH5mLcDAYj8Lf2MPi9oXwI/ae8BfFPxQzpo+kXcsd5Iib2it723ltJJNo5IjWYuQMnA4BOBX7m/8OT/2cP8Aoc/Fn/f+w/8AkOj/AIcn/s4f9Dn4s/7/ANh/8h0Afqd4X+LXwt8baVDrfhHxfpOsWNwgdJrW9hlUqfXaxwfUHBB4PNd/FLHNGk0LiSOQBlZTkMDyCCOoNfjl/wAOT/2cP+hz8Wf9/wCw/wDkOv1Y+GfgPS/hb8OvDPw10S4mutP8Laba6Zby3JVppIrSJYkaQoqqWIUZwoGegFAHT6vpOma/pV7oWt2sd9p2owyW1zbzKHjmhmUpIjqeCrKSCD1Br+Vj9q79kD4vfsHfFuy+NHwelu5/B1jereaTrEK+a+mSluLW9GCMc7A7jy5kO0/MWQf1cVS1HTtP1iwuNK1a1ivbK8jaKeCdFkiljcYZHRgVZWHBBBBFAH5x/sqf8FNPgX8etDstJ8e6raeAfHKoEuLLUJhDZ3EgHMlpcyERlXPSJ2EgPygOBvP6RW11bXtvHd2cqTwSqGSSNgyMp6EMOCD6ivzA+Mf/AASQ/Zb+Jl9c634Tjv8A4fajcZYppMiNYbz3NpMrhR/sxPGo7Cvlt/8AgiBHHvgsfjZcQ2sjAtGdCzkDOQcX6gk8c449D2AP1S+OH7X/AOz1+z5pF1f/ABC8YWS39urbNKs5UutSmkA4RbaMllyeN0mxAfvMBX81niif48f8FRf2nptR8MaQ9vZARWsIYs9joWkq5KtcTAAFiS7t/FI5IRcAKP1Y+Hf/AARZ+Anh+7jvfiJ4s1rxcYmB+zwiLTbaQDqsgTzZsH/YmQ1+qvw3+Fnw6+D/AIai8H/DHw7Z+G9IiO7yLOIRh3wAXkb70jkAZdyzHHJoA5v4B/BPwl+zz8J9A+E3gtS1josOJJ3ULLd3LndNcS4/jkck46KMKPlUV7FRRQB/K/8A8Fffhp458PftRXXxH1azmfwz4qsbFdOuwrNAr2lusM1uW6LIHQybe6uGHevyv0/UL7Sb+21XTJ3tbyzlSaGaNirxyxsGR1YchlIBBHQ1/eT4x8F+EviF4cvfCHjnR7XXdF1BNk9peRLNC47ZVgcEHlWHKnkEEZr+Kf4vfDPSLb9pjxX8IPhDHJf2SeJ7rRNGiL+Y8h+1m3hjD/x/NhQ38QwT1oA/sy+CnjC9+Ifwb8B+PtSGLvxLoOl6nN8oX95eWscz8DgcueBXptcj8P8AwnbeAvAfhvwNZtvg8O6bZ6bG3qlnCkKn8QtddQAUUUUAFFFFAH5V/wDBTH9h2b9o7whF8UvhpZ+Z8RvC9v5Yt0wDqtgpLm35486Iszwn+LLIc7kK/jb+wL+2Nqv7HHxQ1Hw549tbn/hC9fmW31u0MbC50+5gLItykTYbfGSUmjwGZexZFFf1zV8SftJ/8E/v2dv2m7q48Q+K9Jl0TxXOoU61pTiC5cqML56MGhmwABl0L7QFDqMUAe6+Hv2ivgL4q8MR+M9C+IWg3GiyRrIbltRgiWNWGQJRI6tEw7q4VgeCAa/Bf/gpt/wUF8NfGPSv+FA/A+//ALQ8KrMk2taqgZY76WB90VtBuxugR1DtJjDsF2fKuX9puv8Aghx4fa+8yz+L91FZ7h+7k0VHl285HmC7Vc9OdnHoc8fYX7PX/BLn9mz4Fara+KtTt7jx34jspFmt7rV9pt7eRDlWhtIwI9wIBDSeYQeVK0AfJv8AwSq/YV1PwdJD+0x8YdKkstXljZfDen3KFJIIZk2vfSoeVeRGKQq2CFLOR8yEfurRRQAVHLFFPE8E6CSOQFWVgCrKRggg8EEVJRQB/J3/AMFE/wBhTWf2bPG918QPh9p01z8L9dl8yGSNS66TcSNzaTEZKx5P7h26qQhJdct+jP8AwTv/AOCkPgbxN4H0n4LfH3XYNA8UaFFHZ6dql9J5VrqVrEu2JZZ3OyO4RRtJkIEnBBLkiv2Y1rRdH8SaReaB4gsodS0zUInguba5jWWGaKQYZJEYFWUjggjBr8mvi7/wRw/Z58c6rJrPw41jUfh+82S9rCBf2IY85SOdhKnOcr5xXoFCgUAfdnxZ/a0/Z5+C3hafxV428b6aIkTdDa2dzHd3t0SMqsFvEzO+7+9gIOrMo5r+V/4s+O/jH/wUN/aae/8ADGiS3mqauVstJ0yEl0sNNhY7BJIflVV3NJNK2F3Mx4BCj9VfD3/BDzwZbXqyeKvivf6jaBlzHZaXFZyFRjcBJJPcgE84Ow496/Vb4Bfsu/BP9mfRJtH+Enh5NNlvFQXl9KzT313s6edO+WIBJIRdqAk7VFAGR+yb+zT4W/ZW+Dum/DXQGW7v2P2vVr/GGvdQkVRJJg8hFChI17IozlixP0xRRQAV+G3/AAVO/YP1Px28/wC0p8G9LkvtehjVfEOm2yF5buGJAqXkKDlpY0UJKiglkAYDKtu/cmigD+XP/gmn+3xpf7Ol5c/B74vXDxeANYuGuba+CPK2lXjgK5ZFBY28uBuCglHG4DDOa/osuf2g/gRZ+GT4yuPiH4fTQwhkF5/adsYWUDd8rCT5jjooyT0AzXyZ+0T/AMEx/wBmz4/and+K4rO48FeKL6QzT3+jlUjuJGOWae1cNEzMclmQRuzHLMa+LI/+CHGgC/Ek3xfumssn92uiosuOMDzDdlc9edn4ccgHxr/wUZ/bdT9rDxhpfwy+E6z3HgPQbkPasInWfVtRkBjEwhI3hFDFIEKhzuZmGWCr+qf/AATH/Yguf2ePCE3xY+JtiYPiH4pg8tbaUDfpWnMQwhI7TTFVeXuoCpwQ+73P9mv/AIJ4fs6/s0Xtr4m0HTZvEfi22yU1nVmE00LMME28ShYYeCQGVDJg4LkV91UAFFFFAH8xP/BaDxh4o1D9o3w94Jv5pI9C0bw/b3Vlb7j5TS3c8wmnC9NzeUsZPpGPevyG03Ub/R9RtdX0q5ks72ylSeCeJikkUsbBkdGHKsrAEEcg1/YP+2j+wp4B/bD0rTby/wBRk8NeLtDjeKx1WGFZwYHbcYLmIlDJGGyyYdSjEkHDMrfA3wn/AOCKOk6L4xtNZ+Lvj5df0KykWRtO06za2a72kHZLPJI5SMkEMEUsy9HQ8gA/Y34FeKNc8cfBL4f+NPEylNY17w/pV/eAgL/pF1axyy8DAGWY8YGPQV6pVazs7TT7SCwsIUtra2RYooo1CJHGg2qqqMAKAMADgCrNABRRRQAUUUUAfCf7e/7HmmftafCr7LpQjtfHXhkS3Gh3Tnars4Hm2kp/55z7VG7+BwrdNwb+cP8AZi+PXxI/YQ/aDmvfEei3VssTHTPEeiXCmKZ7YsGJVWwBNGQJIm6HpnY5Nf2UV8tftF/sa/AP9qG2R/ifoJOs28Xk2+r2L/ZtQgTOQokAKyKCSQkqOoJJABJNAHT/AA2/al/Z8+LHhWHxh4M8eaTPYvH5kqXF1Ha3Ftj7y3EEzLJEQeu4AHqCQQa/KH/gpL/wUX8Ez+B9V/Z/+AetQ67f66j2muavaNvtbezYYktreZfklkmBKu6FkVNygl2+SPV/+CHXhea7L6D8XLy0tc8R3Ojx3MgGR/GlzCDxkfc68+x+h/gn/wAEiP2bvhlqkev+O7i8+It9AytFDqIWDT0Zecm2i5k56rLI6EcFO9AHwJ/wS2/YV1Px54r0/wDaO+LGlSW/hTQ5EudBtrhCv9p3qNlLnaeTbwEBlPSSTGCVVwf6VKht7e3tLeO1tY1hghVUjjRQqIijAVQOAAOAB0qagAr5s/au/Zq8J/tUfCDUfhn4kYWl4D9q0q/C7msr+NWEcuP4kIYpIv8AEjHGG2sPpOigD+LPwxqvxv8A2BP2krPVdW0p9L8T+FpmWe0n3C21Cylykiq44kgnTOyRc4IDD5l4/qj+BX7Zv7Pfx+8J23iPwp4tsbC9aMG60vULiO1vrSTbl0eKRlLKvaRNyNjhuoHZ/Hb9mr4MftJaBF4f+Lvh2LV1tN5tLpWaC8tGccmGeMh1BwCVJKMQNynFflJ4m/4IfeBru9kl8HfFTUdLtGZikV9psN86qc7QZI5rYHHGTsGfbsAe0/t3f8FI/h18JvA+qfD/AOCXiC18SfEHVomt1uLCUXFrpMcqkNO88ZMbTqP9XGrEq2GcAAK35M/8E8P2Hdb/AGmviBbeOvHmnzRfDHQZvNu55AUXVLiMgiyhY4LKTzO6/dUFch2Uj9S/hN/wRo+APgzV4dY+JPiDUvHvkYK2bKNOs3Yd5FhZ5mHoBMB67hxX61eHvDug+EtDsfDPhfT4NK0nTIlgtbS2jWKGGJBhURFACgegoA1YYYbeFLe3RYoolCoigKqqowAAOAAOgqSiigAooooAKKKKACiiigAooooAK/Hv/gtZ/wAmweE/+xxtP/Tff1+wlfj3/wAFrP8Ak2Dwn/2ONp/6b7+gD9Pvg9/ySTwR/wBgPTf/AEmjr0avOfg9/wAkk8Ef9gPTf/SaOvRqACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAo68GiigD+ZX/goR+wD4x+B/jS8/aE+AtncTeD57k6lcQ2CkXGgXSv5pkRY/mFsH+dHUfucbWwoVm+7P2M/wDgqh8M/id4f07wR+0Fqlv4Q8b2qJAdRuSIdN1MgYEvm4EdtKcZdJCsZPKNzsX9fGVXUo4DKwwQeQQa/On44f8ABLn9lX4z38+vWukXHgbWZ9zPPoDx20MjnndJavHJB15PlrGzZ5bPNAH6D6Vq+k67YRarod7BqFlON0c9vIs0Tj1V0JUj6GvJviz+0Z8D/gbplxqnxS8Z6dof2dd32aSdZLyT0EVrHunkJ9FQ+p45r8g5/wDgiDawyynRPjTdWcMgxtfRA7Yz/EyX0YbjPGBzz7HuPBH/AARM+D2lXa3HxA8f6z4iiQgiGygg01WI6hy32piD/ssp96APzf8A2m/jl8Vv+Ck/x+0nwd8IvD15PomleZBomm8bkjkZfPv7xx8kRfCbiW2RqFXJOS39EX7HP7Lnh/8AZO+Dln8PtPmTUNau3N5rOoKu37VeuoB2Z5EUSgJGD2G4gMzV6X8HPgD8HvgBoJ8OfCPwvaeHraUL58kSl7m5KfdM9xIWllIycb2OMnGBXsNABRRRQB+G3/BU79g/U/Hbz/tKfBvS5L7XoY1XxDptsheW7hiQKl5Cg5aWNFCSooJZAGAyrbvjz/gmn+3xpf7Ol5c/B74vXDxeANYuGuba+CPK2lXjgK5ZFBY28uBuCglHG4DDOa/qMr87P2if+CY/7Nnx+1O78VxWdx4K8UX0hmnv9HKpHcSMcs09q4aJmY5LMgjdmOWY0AfWdz+0H8CLPwyfGVx8Q/D6aGEMgvP7TtjCygbvlYSfMcdFGSegGa/mv/4KM/tup+1h4w0v4ZfCdZ7jwHoNyHtWETrPq2oyAxiYQkbwihikCFQ53MzDLBV+yo/+CHGgC/Ek3xfumssn92uiosuOMDzDdlc9edn4cc/fn7Nf/BPD9nX9mi9tfE2g6bN4j8W22Sms6swmmhZhgm3iULDDwSAyoZMHBcigDwz/AIJj/sQXP7PHhCb4sfE2xMHxD8UweWttKBv0rTmIYQkdppiqvL3UBU4Ifd+rtFFABX8xP/BaDxh4o1D9o3w94Jv5pI9C0bw/b3Vlb7j5TS3c8wmnC9NzeUsZPpGPev6dq+F/20f2FPAP7YelabeX+oyeGvF2hxvFY6rDCs4MDtuMFzEShkjDZZMOpRiSDhmVgD+PjTdRv9H1G11fSrmSzvbKVJ4J4mKSRSxsGR0YcqysAQRyDX9zfwK8Ua544+CXw/8AGniZSmsa94f0q/vAQF/0i6tY5ZeBgDLMeMDHoK/HL4T/APBFHSdF8Y2ms/F3x8uv6FZSLI2nadZtbNd7SDslnkkcpGSCGCKWZejoeR+7FnZ2mn2kFhYQpbW1sixRRRqESONBtVVUYAUAYAHAFAFmiiigAooooAKKKKAPxd/4LaxXZ+A/gOZB/oq+Jdsh9JGs5yg/EB6/m+8OJLJ4h0uOBS8rXUAQDqWLjA/Ov7cv2if2f/Av7THwt1H4VfEBZUsbx454Lm3Ki4tLqEkxzxFgy7hkqQQQyMy96/Mz4Q/8EZ/AXw9+JOi+OPF3xCuvFWn6HdxXsemrpqWazSwP5kazSmefdHkLvUIpYAjcM8AH7SUUUUAFZ+rX66Vpd5qjIZBZwyTFQcFhGpbGffFaFUtSsYtU0660ydisd3E8LFfvBZFKkjORnBoA/if8SftF6l8RP2jpP2hfizokHi5ptRF8+j3ErR2bRQjFtaZAY+REAgK4+dVIb7zGv05X/gt98RFAVfhdpIA4AF/Px/45X1J/w5P/AGcP+hz8Wf8Af+w/+Q6P+HJ/7OH/AEOfiz/v/Yf/ACHQB8uf8Pv/AIi/9Ev0r/wPn/8AiKP+H3/xF/6JfpX/AIHz/wDxFfUf/Dk/9nD/AKHPxZ/3/sP/AJDo/wCHJ/7OH/Q5+LP+/wDYf/IdAH5e/tHf8FR/2g/2gPCl34AtILLwT4d1FDFexaX5huruJvvRS3MjEiNhwyxqm4ZViykrX0t/wRC8L/a/ij8S/GuzP9laNZ6fu9P7QuDLj8fsn6V9Wf8ADk/9nD/oc/Fn/f8AsP8A5Dr7W/ZO/Y1+HH7H+meI9N+H2qanqv8Awk81tNcy6m8Duv2VXWNU8mKIbf3jHkHk0AfXVFFFAH4P/wDBWv4h678T/iL8M/2Nfh832jU9YvLe+vY1PBubtzbWEbkdAgaWVweArI3bNftD8K/h1oXwj+G/hr4ZeGU26b4ZsILGE4w0nkoA0jY/jkbLse7EmvljSP2GfB+m/tjXv7X154ivNW1G6glMemXkaOltePClsksUylT5cduGRImQkEhvM+UCvuagCpqFhZarYXOl6jCtxaXkTwzROMq8cilWVh3BBINfya+FrPU/+CcX7f2njxnHO3hzRr6VBcbCfteg6kjwpcqB98xo+9lXP72Jk6iv61a+YP2nv2R/hD+1h4Wg0H4kWkkGoadubT9Vsisd9Zs/3grsrK0bYG+NwVOMjDAMADpPiv8AtH/Cv4VfBW9+OWo67Z3mgCza506SCdHGpSspMENsVJ8x5WwBjoMs2FUkfzlf8Ewfg34g+PX7WafFvX4Wm0jwXPLr2oXJT93JqU7MbWIHoHMxMw/2Yj6ivtLS/wDgh34Yi1iObXPi5e3ekqw3W9vpEdvcFM5Kid7mZFPv5RGecdq/YD4IfAv4afs8eArX4dfC3Sl03S7djJK7HfcXVwwAee4lwDJIwABPAAAVQqgKAD16iiigAooooAKKKKACiiigAooooA/Dv/gt9/yTT4Y/9he+/wDSda/b63/494v91f5V+IP/AAW+/wCSafDH/sL33/pOtft9b/8AHvF/ur/KgCaiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA/nT/wCCq/7Dviey8X6n+1B8LtPk1LRdWVZfEVpAu6WyuY1CG8VFGWhlUAykZKPudvlYlfQv+CWX7bfwQ8EfCWD9n/4m6rbeDtX029uZ7O+vWENlfR3cnmYe4b5I5kYlf3hVSgTaxOQP3pIDAqwyD1FfnJ8dP+CW/wCy18atRuPEVlptz4G1y6ZpJbjQnSGCaRupktZEkh5PJ8pYyTySaAP0P0/UtO1ezj1DSrqK9tZgGSaF1kjdTyCrKSCPoa+Y/j3+2f8As8fs7aNd3njjxZaXOrQK3laNYSpdalNIBkJ5KEmIE8b5diDu3avy7uP+CHVkJ3/s/wCM88Nu3RH0IOw57st8gb5cj7o9favRvAv/AARP+C2j3i3PxA8da14kjTBENpFBpsbHuHJ+0OQf9llPvQB+PPj7xL8c/wDgor+0tcal4d0WW/1jV9sFjp8TFrbStMhOEEkzAKkUe4tJI20NIzEDLBa/qO/ZG/Zj8L/spfB+w+HGhyC+1OZvtmr6hjBvL+RVV2APKxoFCRr2UZOWLE+ifCD4E/CP4C+Hh4Y+Evhiz8O2bBfNaBN1xcFejTzuWllYdi7NjoMCvW6ACvP/AIseHNX8Y/Czxl4R8Pyi31TXNG1GxtJGbaEuLm2kiiYsOgDsDntXoFFAH8EPifwv4i8FeIdQ8J+LdOn0nWNKma3urS5QxywyocFWU/8A6iORxX6P/wDBI74ga34V/bA0jwjYzuNO8aWGoWV5COUb7LbSXsTkf3kaAgN1AZh0Jr9e/wDgq18IfhJ4i/Zi8S/FPxTpcEPizwyLMaXqcaql2zzXUUP2dnGDLEyyMdjZC8uuCCa/LP8A4I4/DG/8V/tOXnxEMR/s7wLpNxI0vYXeoqbWGP6tEZ2/4BQB/UhRRRQAUUUUAFRyxRTxPBOgkjkBVlYAqykYIIPBBFSUUAfyd/8ABRP9hTWf2bPG918QPh9p01z8L9dl8yGSNS66TcSNzaTEZKx5P7h26qQhJdct+jP/AATv/wCCkPgbxN4H0n4LfH3XYNA8UaFFHZ6dql9J5VrqVrEu2JZZ3OyO4RRtJkIEnBBLkiv2Y1rRdH8SaReaB4gsodS0zUInguba5jWWGaKQYZJEYFWUjggjBr8mvi7/AMEcP2efHOqyaz8ONY1H4fvNkvawgX9iGPOUjnYSpznK+cV6BQoFAH3Z8Wf2tP2efgt4Wn8VeNvG+miJE3Q2tncx3d7dEjKrBbxMzvu/vYCDqzKOa/lf+LPjv4x/8FDf2mnv/DGiS3mqauVstJ0yEl0sNNhY7BJIflVV3NJNK2F3Mx4BCj9VfD3/AAQ88GW16snir4r3+o2gZcx2WlxWchUY3ASST3IBPODsOPev1W+AX7LvwT/Zn0SbR/hJ4eTTZbxUF5fSs099d7OnnTvliASSEXagJO1RQBkfsm/s0+Fv2Vvg7pvw10Blu79j9r1a/wAYa91CRVEkmDyEUKEjXsijOWLE/TFFFABRRRQAVg3XirwxYmVb3V7O3MBIkElxGmwr1DZIxjvmt6vyc8f/APBID4AfETx34k+IGreLfE9vfeJtSvNUuI4JrIRJLezNO6xhrRmChnIXLE46k9aAPl7/AILF/tH/AAv8aeDPCfwU8Da/aeIdUs9X/tfUDYTJcRWggt5YIo5JIyVEj/aGOwEkBctjK5+EP+CZXx68Ffs/ftNQ6/8AEK9XS9C8RaVc6LPeyD91bNPLDPHJKf4U8yBVZui7snCgkfrH/wAOT/2cP+hz8Wf9/wCw/wDkOj/hyf8As4f9Dn4s/wC/9h/8h0AfrBpPxD8Aa/Zx6joXibTNRtZgCk1tewzRsCMghkcg5HTFdhX43/8ADk/9nD/oc/Fn/f8AsP8A5Dr9ireFba3it1JYRKqAnqQoxzQB+TP/AAU8/Ya1r9ojQ7L4v/Cq1F1468M2xtrixBw2p6cpaRUjzwbiFmYoON6sy5LBBXy3/wAE0f26/hj8FvAs37N/x4lfwfc6TqFzJY39zE6wfv33S213gFoZUl3YZwEIO1ipUbv6EK+R/wBoT9h79nP9pd5NS+Ifhz7Pr7oEGs6a/wBk1ABRgb3AZJsDgeckgA6YoA+j/CnjnwV4702PWPBGv6f4gsJRlLjT7qK6iYezxMw/WuF+MH7QPwc+A2gz+IPir4qstDiijaSO3klU3lxj+GC2UmWVj6Kp9TgZNfkPr3/BEDw21+9z4L+Lt9pcKnMSXmkx3cq/WWK5tgT7hB9K0PDX/BELwFb30c/jb4qapq8G7MqWOnw2Mj+uJJZboD6lTQB+V37WP7RXjz9uz4/WcvhbR7qSyVxpXhnRol8y48p3zvdUJBnnb5pCDhQFXJVNx/oy/YC/ZHh/ZO+Do0vXVhm8b+JXS81y4iO9UZQRBaI/8SW6seehkZ2B2kY9R/Z//ZB+AP7M9s//AAqzw1Hb6nOu2bVLtjdahKp6r578oh7pGEQnkrnmvpmgAooooA/hg+PHw08c/CT4t+J/A/xEs5rXWbK+nZ3lVgLlHkZkuI2P345R86sOoPrkD2H9gr4ga38Ov2u/hhqWizvF/a+tWmjXKLyJbbVJFtZEYdwPMDj0ZQw5Ar+nr9ub4Q/CT4m/s5+ONU+KGlwTP4Y0XUNRsNQ2qt3ZXFtA0qGCX7w3Oqho87ZPukHiv5s/+CbPwxv/AInfth+A4reIvZ+GLhtfvHHSKPTh5kTH/euDEn1agD+xCiiigAooooAKKKKAMe+8Q6BpbvHqep2to6DcwmmSMgdckMRgV+av/BQj9tT4M+AfgJ4w+HfhvxPY+IPGXjDTbjSbex064S5aCK9RoZp53iLrEEjZioYhmbAUYyy737Q//BMT4L/tI/FjVvi/4x8S+INO1XWEto5ILCW0W3UWsCQLtEttI/KoCcseScYHFeJ/8OT/ANnD/oc/Fn/f+w/+Q6AP5tPCXiO98HeK9F8XaZ/x+aHe219Dzj95bSLKnP1UV/Zv8Cv2x/gB8fvCdh4h8KeLdPs9QuIozdaTe3UdvfWk7LlonikKs21sgSICjYypNfCf/Dk/9nD/AKHPxZ/3/sP/AJDo/wCHJ/7OH/Q5+LP+/wDYf/IdAH6/2Wr6TqbMmnXsF0yAFhFIshAPrtJxWjXwv+yl+wN8Lf2RfFOteLPAOva1q1zrlktlMmpyW7xrGsglDIIYIjuyuOSRjtX3RQBw3xM+HPhT4ueAdc+Gvji0F7ofiG1e1uY+AwVuVdCQdskbAOjYyrAEciv5XfiD8Jv2hv8AgmH+0Jp3xB8PB77RILhk0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+GN/wDgq7/0cTYf+DjU/wD5Ar9y6KAPw0/4Y3/4Ku/9HE2H/g41P/5Ao/4Y3/4Ku/8ARxNh/wCDjU//AJAr9y6KAPw0/wCGN/8Agq7/ANHE2H/g41P/AOQKP+GN/wDgq7/0cTYf+DjU/wD5Ar9y6KAPw0/4Y3/4Ku/9HE2H/g41P/5Ao/4Y3/4Ku/8ARxNh/wCDjU//AJAr9y6KAPw0/wCGN/8Agq7/ANHE2H/g41P/AOQKP+GN/wDgq7/0cTYf+DjU/wD5Ar9y6KAPw0/4Y3/4Ku/9HE2H/g41P/5Ao/4Y3/4Ku/8ARxNh/wCDjU//AJAr9y6KAPw0/wCGN/8Agq7/ANHE2H/g41P/AOQKP+GN/wDgq7/0cTYf+DjU/wD5Ar9y6KAPw0/4Y3/4Ku/9HE2H/g41P/5Ao/4Y3/4Ku/8ARxNh/wCDjU//AJAr9y6KAPw0/wCGN/8Agq7/ANHE2H/g41P/AOQKP+GN/wDgq7/0cTYf+DjU/wD5Ar9y6KAPw0/4Y3/4Ku/9HE2H/g41P/5Ao/4Y3/4Ku/8ARxNh/wCDjU//AJAr9y6KAPw0/wCGN/8Agq7/ANHE2H/g41P/AOQKP+GN/wDgq7/0cTYf+DjU/wD5Ar9y6KAPw0/4Y3/4Ku/9HE2H/g41P/5Ao/4Y3/4Ku/8ARxNh/wCDjU//AJAr9y6KAPw0/wCGN/8Agq7/ANHE2H/g41P/AOQKP+GN/wDgq7/0cTYf+DjU/wD5Ar9y6KAPw0/4Y3/4Ku/9HE2H/g41P/5Ao/4Y3/4Ku/8ARxNh/wCDjU//AJAr9y6KAPw0/wCGN/8Agq7/ANHE2H/g41P/AOQKP+GN/wDgq7/0cTYf+DjU/wD5Ar9y6KAPw0/4Y3/4Ku/9HE2H/g41P/5Ao/4Y3/4Ku/8ARxNh/wCDjU//AJAr9y6KAPw0/wCGN/8Agq7/ANHE2H/g41P/AOQKP+GN/wDgq7/0cTYf+DjU/wD5Ar9y6KAPw0/4Y3/4Ku/9HE2H/g41P/5Ao/4Y3/4Ku/8ARxNh/wCDjU//AJAr9y6KAPw0/wCGN/8Agq7/ANHE2H/g41P/AOQKP+GN/wDgq7/0cTYf+DjU/wD5Ar9y6KAPw0/4Y3/4Ku/9HE2H/g41P/5Ao/4Y3/4Ku/8ARxNh/wCDjU//AJAr9y6KAPw0/wCGN/8Agq7/ANHE2H/g41P/AOQKP+GN/wDgq7/0cTYf+DjU/wD5Ar9y6KAPw0/4Y3/4Ku/9HE2H/g41P/5Ao/4Y3/4Ku/8ARxNh/wCDjU//AJAr9y6KAPw0/wCGN/8Agq7/ANHE2H/g41P/AOQKP+GN/wDgq7/0cTYf+DjU/wD5Ar9y6KAPw0/4Y3/4Ku/9HE2H/g41P/5Ao/4Y3/4Ku/8ARxNh/wCDjU//AJAr9y6KAPw0/wCGN/8Agq7/ANHE2H/g41P/AOQKP+GN/wDgq7/0cTYf+DjU/wD5Ar9y6KAPw0/4Y3/4Ku/9HE2H/g41P/5Ao/4Y3/4Ku/8ARxNh/wCDjU//AJAr9y6KAPw0/wCGN/8Agq7/ANHE2H/g41P/AOQKP+GN/wDgq7/0cTYf+DjU/wD5Ar9y6KAPw0/4Y3/4Ku/9HE2H/g41P/5Ao/4Y3/4Ku/8ARxNh/wCDjU//AJAr9y6KAPw0/wCGN/8Agq7/ANHE2H/g41P/AOQKP+GN/wDgq7/0cTYf+DjU/wD5Ar9y6KAPw0/4Y3/4Ku/9HE2H/g41P/5Ao/4Y3/4Ku/8ARxNh/wCDjU//AJAr9y6KAPw0/wCGN/8Agq7/ANHE2H/g41P/AOQKP+GN/wDgq7/0cTYf+DjU/wD5Ar9y6KAPw0/4Y3/4Ku/9HE2H/g41P/5Ao/4Y3/4Ku/8ARxNh/wCDjU//AJAr9y6KAPw0/wCGN/8Agq7/ANHE2H/g41P/AOQKP+GN/wDgq7/0cTYf+DjU/wD5Ar9y6KAPw0/4Y3/4Ku/9HE2H/g41P/5Ao/4Y3/4Ku/8ARxNh/wCDjU//AJAr9y6KAPw0/wCGN/8Agq7/ANHE2H/g41P/AOQKP+GN/wDgq7/0cTYf+DjU/wD5Ar9y6KAPw0/4Y3/4Ku/9HE2H/g41P/5Ao/4Y3/4Ku/8ARxNh/wCDjU//AJAr9y6KAPw0/wCGN/8Agq7/ANHE2H/g41P/AOQKP+GN/wDgq7/0cTYf+DjU/wD5Ar9y6KAPw0/4Y3/4Ku/9HE2H/g41P/5Ao/4Y3/4Ku/8ARxNh/wCDjU//AJAr9y6KAPw0/wCGN/8Agq7/ANHE2H/g41P/AOQKP+GN/wDgq7/0cTYf+DjU/wD5Ar9y6KAPw0/4Y3/4Ku/9HE2H/g41P/5Ao/4Y3/4Ku/8ARxNh/wCDjU//AJAr9y6KAPw0/wCGN/8Agq7/ANHE2H/g41P/AOQKP+GN/wDgq7/0cTYf+DjU/wD5Ar9y6KAPw0/4Y3/4Ku/9HE2H/g41P/5Ao/4Y3/4Ku/8ARxNh/wCDjU//AJAr9y6KAPw0/wCGN/8Agq7/ANHE2H/g41P/AOQKP+GN/wDgq7/0cTYf+DjU/wD5Ar9y6KAPw0/4Y3/4Ku/9HE2H/g41P/5Ao/4Y3/4Ku/8ARxNh/wCDjU//AJAr9y6KAPw0/wCGN/8Agq7/ANHE2H/g41P/AOQKP+GN/wDgq7/0cTYf+DjU/wD5Ar9y6KAPw0/4Y3/4Ku/9HE2H/g41P/5Ao/4Y3/4Ku/8ARxNh/wCDjU//AJAr9y6KAPw0/wCGN/8Agq7/ANHE2H/g41P/AOQKP+GN/wDgq7/0cTYf+DjU/wD5Ar9y6KAPw0/4Y3/4Ku/9HE2H/g41P/5Ao/4Y3/4Ku/8ARxNh/wCDjU//AJAr9y6KAPw0/wCGN/8Agq7/ANHE2H/g41P/AOQKP+GN/wDgq7/0cTYf+DjU/wD5Ar9y6KAPw0/4Y3/4Ku/9HE2H/g41P/5Ao/4Y3/4Ku/8ARxNh/wCDjU//AJAr9y6KAPw0/wCGN/8Agq7/ANHE2H/g41P/AOQKP+GN/wDgq7/0cTYf+DjU/wD5Ar9y6KAPw0/4Y3/4Ku/9HE2H/g41P/5Ao/4Y3/4Ku/8ARxNh/wCDjU//AJAr9y6KAPw0/wCGN/8Agq7/ANHE2H/g41P/AOQKP+GN/wDgq7/0cTYf+DjU/wD5Ar9y6KAPw0/4Y3/4Ku/9HE2H/g41P/5Ao/4Y3/4Ku/8ARxNh/wCDjU//AJAr9y6KAPw0/wCGN/8Agq7/ANHE2H/g41P/AOQKP+GN/wDgq7/0cTYf+DjU/wD5Ar9y6KAPw0/4Y3/4Ku/9HE2H/g41P/5Ao/4Y3/4Ku/8ARxNh/wCDjU//AJAr9y6KAPw0/wCGN/8Agq7/ANHE2H/g41P/AOQKP+GN/wDgq7/0cTYf+DjU/wD5Ar9y6KAPw0/4Y3/4Ku/9HE2H/g41P/5Ao/4Y3/4Ku/8ARxNh/wCDjU//AJAr9y6KAPw0/wCGN/8Agq7/ANHE2H/g41P/AOQKP+GN/wDgq7/0cTYf+DjU/wD5Ar9y6KAPw0/4Y3/4Ku/9HE2H/g41P/5Ao/4Y3/4Ku/8ARxNh/wCDjU//AJAr9y6KAPw0/wCGN/8Agq7/ANHE2H/g41P/AOQKP+GN/wDgq7/0cTYf+DjU/wD5Ar9y6KAPw0/4Y3/4Ku/9HE2H/g41P/5Ao/4Y3/4Ku/8ARxNh/wCDjU//AJAr9y6KAPw0/wCGN/8Agq7/ANHE2H/g41P/AOQKP+GN/wDgq7/0cTYf+DjU/wD5Ar9y6KAPw0/4Y3/4Ku/9HE2H/g41P/5Ao/4Y3/4Ku/8ARxNh/wCDjU//AJAr9y6KAPw0/wCGN/8Agq7/ANHE2H/g41P/AOQKP+GN/wDgq7/0cTYf+DjU/wD5Ar9y6KAP5Uf2i/hJ+114E+Pfwj+HvxW+I1n4j+IniS/tU0DWRPNdLp7XF7FBak3FxbJND5VxmQmJGI+8MtxX3H/wxv8A8FXf+jibD/wcan/8gUf8FCP+UhX7K/8A2FNE/wDT5HX7l0Afhp/wxv8A8FXf+jibD/wcan/8gUf8Mb/8FXf+jibD/wAHGp//ACBX7l0UAfhp/wAMb/8ABV3/AKOJsP8Awcan/wDIFH/DG/8AwVd/6OJsP/Bxqf8A8gV+5dFAH4af8Mb/APBV3/o4mw/8HGp//IFH/DG//BV3/o4mw/8ABxqf/wAgV+5dFAH4af8ADG//AAVd/wCjibD/AMHGp/8AyBR/wxv/AMFXf+jibD/wcan/APIFfuXRQB+Gn/DG/wDwVd/6OJsP/Bxqf/yBR/wxv/wVd/6OJsP/AAcan/8AIFfuXRQB+Gn/AAxv/wAFXf8Ao4mw/wDBxqf/AMgUf8Mb/wDBV3/o4mw/8HGp/wDyBX7l0UAfhp/wxv8A8FXf+jibD/wcan/8gUf8Mb/8FXf+jibD/wAHGp//ACBX7l0UAfhp/wAMb/8ABV3/AKOJsP8Awcan/wDIFH/DG/8AwVd/6OJsP/Bxqf8A8gV+5dFAH4af8Mb/APBV3/o4mw/8HGp//IFH/DG//BV3/o4mw/8ABxqf/wAgV+5dFAH4af8ADG//AAVd/wCjibD/AMHGp/8AyBR/wxv/AMFXf+jibD/wcan/APIFfuXRQB+Gn/DG/wDwVd/6OJsP/Bxqf/yBR/wxv/wVd/6OJsP/AAcan/8AIFfuXRQB+Gn/AAxv/wAFXf8Ao4mw/wDBxqf/AMgUf8Mb/wDBV3/o4mw/8HGp/wDyBX7l0UAfhp/wxv8A8FXf+jibD/wcan/8gUf8Mb/8FXf+jibD/wAHGp//ACBX7l0UAfhp/wAMb/8ABV3/AKOJsP8Awcan/wDIFH/DG/8AwVd/6OJsP/Bxqf8A8gV+5dFAH4af8Mb/APBV3/o4mw/8HGp//IFH/DG//BV3/o4mw/8ABxqf/wAgV+5dFAH4af8ADG//AAVd/wCjibD/AMHGp/8AyBR/wxv/AMFXf+jibD/wcan/APIFfuXRQB+Gn/DG/wDwVd/6OJsP/Bxqf/yBR/wxv/wVd/6OJsP/AAcan/8AIFfuXRQB+Gn/AAxv/wAFXf8Ao4mw/wDBxqf/AMgUf8Mb/wDBV3/o4mw/8HGp/wDyBX7l0UAfhp/wxv8A8FXf+jibD/wcan/8gUf8Mb/8FXf+jibD/wAHGp//ACBX7l0UAfhp/wAMb/8ABV3/AKOJsP8Awcan/wDIFH/DG/8AwVd/6OJsP/Bxqf8A8gV+5dFAH4af8Mb/APBV3/o4mw/8HGp//IFH/DG//BV3/o4mw/8ABxqf/wAgV+5dFAH4af8ADG//AAVd/wCjibD/AMHGp/8AyBR/wxv/AMFXf+jibD/wcan/APIFfuXRQB+Gn/DG/wDwVd/6OJsP/Bxqf/yBR/wxv/wVd/6OJsP/AAcan/8AIFfuXRQB+Gn/AAxv/wAFXf8Ao4mw/wDBxqf/AMgUf8Mb/wDBV3/o4mw/8HGp/wDyBX7l0UAfhp/wxv8A8FXf+jibD/wcan/8gUf8Mb/8FXf+jibD/wAHGp//ACBX7l0UAfhp/wAMb/8ABV3/AKOJsP8Awcan/wDIFH/DG/8AwVd/6OJsP/Bxqf8A8gV+5dFAH4af8Mb/APBV3/o4mw/8HGp//IFH/DG//BV3/o4mw/8ABxqf/wAgV+5dFAH4af8ADG//AAVd/wCjibD/AMHGp/8AyBR/wxv/AMFXf+jibD/wcan/APIFfuXRQB+Gn/DG/wDwVd/6OJsP/Bxqf/yBR/wxv/wVd/6OJsP/AAcan/8AIFfuXRQB+Gn/AAxv/wAFXf8Ao4mw/wDBxqf/AMgUf8Mb/wDBV3/o4mw/8HGp/wDyBX7l0UAfhp/wxv8A8FXf+jibD/wcan/8gUf8Mb/8FXf+jibD/wAHGp//ACBX7l0UAfhp/wAMb/8ABV3/AKOJsP8Awcan/wDIFH/DG/8AwVd/6OJsP/Bxqf8A8gV+5dFAH4af8Mb/APBV3/o4mw/8HGp//IFH/DG//BV3/o4mw/8ABxqf/wAgV+5dFAH4af8ADG//AAVd/wCjibD/AMHGp/8AyBR/wxv/AMFXf+jibD/wcan/APIFfuXRQB+Gn/DG/wDwVd/6OJsP/Bxqf/yBR/wxv/wVd/6OJsP/AAcan/8AIFfuXRQB+Gn/AAxv/wAFXf8Ao4mw/wDBxqf/AMgUf8Mb/wDBV3/o4mw/8HGp/wDyBX7l0UAfhp/wxv8A8FXf+jibD/wcan/8gUf8Mb/8FXf+jibD/wAHGp//ACBX7l0UAfhp/wAMb/8ABV3/AKOJsP8Awcan/wDIFH/DG/8AwVd/6OJsP/Bxqf8A8gV+5dFAH4af8Mb/APBV3/o4mw/8HGp//IFH/DG//BV3/o4mw/8ABxqf/wAgV+5dFAH4af8ADG//AAVd/wCjibD/AMHGp/8AyBR/wxv/AMFXf+jibD/wcan/APIFfuXRQB+Gn/DG/wDwVd/6OJsP/Bxqf/yBR/wxv/wVd/6OJsP/AAcan/8AIFfuXRQB+Gn/AAxv/wAFXf8Ao4mw/wDBxqf/AMgUf8Mb/wDBV3/o4mw/8HGp/wDyBX7l0UAfhp/wxv8A8FXf+jibD/wcan/8gUf8Mb/8FXf+jibD/wAHGp//ACBX7l0UAfhp/wAMb/8ABV3/AKOJsP8Awcan/wDIFH/DG/8AwVd/6OJsP/Bxqf8A8gV+5dFAH4af8Mb/APBV3/o4mw/8HGp//IFH/DG//BV3/o4mw/8ABxqf/wAgV+5dFAH4af8ADG//AAVd/wCjibD/AMHGp/8AyBR/wxv/AMFXf+jibD/wcan/APIFfuXRQB+Gn/DG/wDwVd/6OJsP/Bxqf/yBR/wxv/wVd/6OJsP/AAcan/8AIFfuXRQB+Gn/AAxv/wAFXf8Ao4mw/wDBxqf/AMgUf8Mb/wDBV3/o4mw/8HGp/wDyBX7l0UAfhp/wxv8A8FXf+jibD/wcan/8gUf8Mb/8FXf+jibD/wAHGp//ACBX7l0UAfhp/wAMb/8ABV3/AKOJsP8Awcan/wDIFH/DG/8AwVd/6OJsP/Bxqf8A8gV+5dFAH4af8Mb/APBV3/o4mw/8HGp//IFH/DG//BV3/o4mw/8ABxqf/wAgV+5dFAH4af8ADG//AAVd/wCjibD/AMHGp/8AyBR/wxv/AMFXf+jibD/wcan/APIFfuXRQB+Gn/DG/wDwVd/6OJsP/Bxqf/yBR/wxv/wVd/6OJsP/AAcan/8AIFfuXRQB+Gn/AAxv/wAFXf8Ao4mw/wDBxqf/AMgUf8Mb/wDBV3/o4mw/8HGp/wDyBX7l0UAfhp/wxv8A8FXf+jibD/wcan/8gUf8Mb/8FXf+jibD/wAHGp//ACBX7l0UAfhp/wAMb/8ABV3/AKOJsP8Awcan/wDIFH/DG/8AwVd/6OJsP/Bxqf8A8gV+5dFAH4af8Mb/APBV3/o4mw/8HGp//IFH/DG//BV3/o4mw/8ABxqf/wAgV+5dFAH4af8ADG//AAVd/wCjibD/AMHGp/8AyBR/wxv/AMFXf+jibD/wcan/APIFfuXRQB+Gn/DG/wDwVd/6OJsP/Bxqf/yBR/wxv/wVd/6OJsP/AAcan/8AIFfuXRQB+Gn/AAxv/wAFXf8Ao4mw/wDBxqf/AMgUf8Mb/wDBV3/o4mw/8HGp/wDyBX7l0UAfhp/wxv8A8FXf+jibD/wcan/8gUf8Mb/8FXf+jibD/wAHGp//ACBX7l0UAfhp/wAMb/8ABV3/AKOJsP8Awcan/wDIFH/DG/8AwVd/6OJsP/Bxqf8A8gV+5dFAH4af8Mb/APBV3/o4mw/8HGp//IFH/DG//BV3/o4mw/8ABxqf/wAgV+5dFAH4af8ADG//AAVd/wCjibD/AMHGp/8AyBR/wxv/AMFXf+jibD/wcan/APIFfuXRQB+Gn/DG/wDwVd/6OJsP/Bxqf/yBR/wxv/wVd/6OJsP/AAcan/8AIFfuXRQB+Gn/AAxv/wAFXf8Ao4mw/wDBxqf/AMgUf8Mb/wDBV3/o4mw/8HGp/wDyBX7l0UAfhp/wxv8A8FXf+jibD/wcan/8gUf8Mb/8FXf+jibD/wAHGp//ACBX7l0UAfhp/wAMb/8ABV3/AKOJsP8Awcan/wDIFH/DG/8AwVd/6OJsP/Bxqf8A8gV+5dFAH4af8Mb/APBV3/o4mw/8HGp//IFH/DG//BV3/o4mw/8ABxqf/wAgV+5dFAH4af8ADG//AAVd/wCjibD/AMHGp/8AyBR/wxv/AMFXf+jibD/wcan/APIFfuXRQB+Gn/DG/wDwVd/6OJsP/Bxqf/yBR/wxv/wVd/6OJsP/AAcan/8AIFfuXRQB+Gn/AAxv/wAFXf8Ao4mw/wDBxqf/AMgUf8Mb/wDBV3/o4mw/8HGp/wDyBX7l0UAfhp/wxv8A8FXf+jibD/wcan/8gUf8Mb/8FXf+jibD/wAHGp//ACBX7l0UAfhp/wAMb/8ABV3/AKOJsP8Awcan/wDIFH/DG/8AwVd/6OJsP/Bxqf8A8gV+5dFAH4af8Mb/APBV3/o4mw/8HGp//IFH/DG//BV3/o4mw/8ABxqf/wAgV+5dFAH4af8ADG//AAVd/wCjibD/AMHGp/8AyBR/wxv/AMFXf+jibD/wcan/APIFfuXRQB+Gn/DG/wDwVd/6OJsP/Bxqf/yBR/wxv/wVd/6OJsP/AAcan/8AIFfuXRQB+Gn/AAxv/wAFXf8Ao4mw/wDBxqf/AMgUf8Mb/wDBV3/o4mw/8HGp/wDyBX7l0UAfhp/wxv8A8FXf+jibD/wcan/8gUf8Mb/8FXf+jibD/wAHGp//ACBX7l0UAfhp/wAMb/8ABV3/AKOJsP8Awcan/wDIFfHX7bnwR/bY+Dvwo0rxF+0h8UrLx34eu9bt7W1s0ubjUTFeNbXLrN5d5axIuI0kXcCW+bGMEmv6kK/Hv/gtZ/ybB4T/AOxxtP8A0339AHkHh79kz/gp3rugabrfhD492OmaDqFtDcafaNquoxm3tJUDwRFEsWVSkZVcKSBjAJFbH/DG/wDwVd/6OJsP/Bxqf/yBX7C/B7/kkngj/sB6b/6TR16NQB+Gn/DG/wDwVd/6OJsP/Bxqf/yBR/wxv/wVd/6OJsP/AAcan/8AIFfuXRQB+Gn/AAxv/wAFXf8Ao4mw/wDBxqf/AMgUf8Mb/wDBV3/o4mw/8HGp/wDyBX7l0UAfhp/wxv8A8FXf+jibD/wcan/8gUf8Mb/8FXf+jibD/wAHGp//ACBX7l0UAfhp/wAMb/8ABV3/AKOJsP8Awcan/wDIFH/DG/8AwVd/6OJsP/Bxqf8A8gV+5dFAH4af8Mb/APBV3/o4mw/8HGp//IFH/DG//BV3/o4mw/8ABxqf/wAgV+5dFAH4af8ADG//AAVd/wCjibD/AMHGp/8AyBR/wxv/AMFXf+jibD/wcan/APIFfuXRQB+Gn/DG/wDwVd/6OJsP/Bxqf/yBR/wxv/wVd/6OJsP/AAcan/8AIFfuXRQB+Gn/AAxv/wAFXf8Ao4mw/wDBxqf/AMgUf8Mb/wDBV3/o4mw/8HGp/wDyBX7l0UAfhp/wxv8A8FXf+jibD/wcan/8gUf8Mb/8FXf+jibD/wAHGp//ACBX7l0UAfhp/wAMb/8ABV3/AKOJsP8Awcan/wDIFH/DG/8AwVd/6OJsP/Bxqf8A8gV+5dFAH4af8Mb/APBV3/o4mw/8HGp//IFH/DG//BV3/o4mw/8ABxqf/wAgV+5dFAH4af8ADG//AAVd/wCjibD/AMHGp/8AyBR/wxv/AMFXf+jibD/wcan/APIFfuXRQB+Gn/DG/wDwVd/6OJsP/Bxqf/yBR/wxv/wVd/6OJsP/AAcan/8AIFfuXRQB+Gn/AAxv/wAFXf8Ao4mw/wDBxqf/AMgUf8Mb/wDBV3/o4mw/8HGp/wDyBX7l0UAfhp/wxv8A8FXf+jibD/wcan/8gUf8Mb/8FXf+jibD/wAHGp//ACBX7l0UAfhp/wAMb/8ABV3/AKOJsP8Awcan/wDIFH/DG/8AwVd/6OJsP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YxFaWUKwRKT1bagGWbqzHJY8kk11lABX4Pf8FtfiZ4s0rQvh58KdNuvs+ga+17qN/GmQ1xLZNCsCuc8ohkZtvQttY8qK/eGvm348/sk/Af9pe80e/8AjJ4fk1qfQY5orNkvbq08tLgq0gIt5Yw2Si/ezjHFAH8uPwC/b9+Ov7NXgUfD34WW+iWmnNcS3U0s+n+bc3E8p5eWTeNxVQqLxwqgepPt3/D4H9sP/nvoP/gs/wDttftD/wAOqv2Hf+hDn/8ABxqX/wAk0f8ADqr9h3/oQ5//AAcal/8AJNAH4vf8Pgf2w/8AnvoP/gs/+21m6r/wVz/bL1Gxls7XV9I0ySQECe20uIypnuvnGRM/VTX7Z/8ADqr9h3/oQ5//AAcal/8AJNH/AA6q/Yd/6EOf/wAHGpf/ACTQB/J94v8AGPjD4keKb3xb411W61/XtVkDz3V1I000rnCqMnsBhVUcKAAAAAK/uj+H3hpPBfgLw14OjAVNC0yzsFA6AWsKRDH/AHzXxTp3/BLn9ibStQtdTs/Aky3FnKk0ZbVtRcB42DLlWuCCMjoRg96/QWgAr8lP+Ct/7OfxH+Nvwp8LeLfhrp82t3fgW6vJbrTrZTJcS2t6kYeWKMZaRomhXKKCxViQDtr9a6KAP4BpYpIZHhmQxyRkqysMFSOCCD0Ir+qH/gjn4m1fX/2R59N1OR5IPD3iPULCz3kkLbtDbXZVc9AJbiTj1Jr8tv8AgsNa/Dyy/aotoPBtpb22sPoltNrzWwC772WWUxmZR/y2+z+WzMeWVkJr9tf+Cbvwhv8A4Ofsj+D9K1qA22reIBLrt3GwKsjagQ0KsDyGW3WIMDyGBHagD7sooooAKKKKACiiigDy/wCI/wAbPhF8H209fil4w0vwq2q+abQajdR2xnEG3zPLDkbtm9c46ZHrXx58e/8AgpP+y/8ADn4e63eeEPG1l4t8TPazR6dY6UzXPmXTIRGXmRTFHGrYLMzZxnaGOBX0P8e/2UfgZ+0zJokvxm0CTW28Oi4WyKXlzaeWLvyzLn7PJHu3eUn3s4xx1NfPX/Dqr9h3/oQ5/wDwcal/8k0AfyKV/XF+z/8A8FLf2Y/iX4A0a78a+MrTwf4pjtoo9SsdVZrcLcqgEjRzuoikjZgSpDZwRuVTxVn/AIdVfsO/9CHP/wCDjUv/AJJo/wCHVX7Dv/Qhz/8Ag41L/wCSaAPtX4e/FH4c/FnR5/EHwy8S2HijTbadrWW4064S4iSdVVzGzISAwV1OD2INd5XinwM/Z6+E/wCzf4YvfB3wf0h9G0rUbxr+eJ7me6LXDxpEW33DyMPkjUYBxxnGSa9roA/Dz/gp3/wT78R/E7Vrj9or4Iae2o+IDCi67o8ILT3qwKES6tVH35ljULJGOXVQUBfIbwb/AIJ1f8FEfAHwA8D/APDPvx5trnRNP0u8uJLHVIrd5RB9okLzQXkCAzKVlLEOqsedrKu0E/0eV8ufGv8AYv8A2af2gbl9T+JXgi0udXfrqVoXsb5jjAMk1uyNLgdBLvA9KANrTP2vP2VtWsk1Cz+L/hMRSLuAm1qzgcDGfmjllV1OOzAEV8wfHv8A4KmfswfCPRruPwZrafETxIFZbey0gl7XzMfK017jyRHnqYzI/ovevNrr/gi/+ylcXDTQ674ttkb/AJZpf2ZVeQeC9kze3JPHvzXpPgX/AIJO/sbeDLxb6/0HUPFUiYKDV7+R41I7mO2FujfRww9qAPwO8I/Db9pD/go/8fdW8VRwefd6rOr6lqkiPHpelWygLHEG+bAjQBYoVLSPjJz87j+q/wDZ9+BHgf8AZv8AhZpHwr8BQlbLT1L3Fw4AmvbuQDzrmYjq8hA46KoVF+VQB6X4Y8K+GPBOh2vhnwdpNroekWK7ILSyhS3giX0WOMBR74HNb9ABX5Pf8FhfiZ4s8Cfsy2Hh3wxdfY4PGmrx6ZqLrkSPZrDLO0SsDwJGjUP6rlTwxr9Ya8Q+Ov7Onwj/AGkvD2n+FvjDo761pul3X223jS6uLUpPsaPdut5I2PyuRgkj2oA/kl/Zw/bN+Lv7K+m6xp/wottIik12ZJbu6vLL7RcusS7Y4vM3riNCWYLj7zMfTH0v/wAPgf2w/wDnvoP/AILP/ttftD/w6q/Yd/6EOf8A8HGpf/JNH/Dqr9h3/oQ5/wDwcal/8k0Afi9/w+B/bD/576D/AOCz/wC21Xuv+Cvf7Y9xA8MV9ols7DAkj0xSy+4Duy/mDX7U/wDDqr9h3/oQ5/8Awcal/wDJNH/Dqr9h3/oQ5/8Awcal/wDJNAH8rXxS+LnxK+Nniybxx8VPEFz4j1qdQnn3DDEcYJIjijQLHFGCSQkaqoJJxkmv7Cv2G/C3/CH/ALIXwm0fZ5Zk0C0vmXphtQX7Y2ffMxz7141/w6q/Yd/6EOf/AMHGpf8AyTX33oOh6Z4Z0LTvDeiQ/ZtO0m2htLaIEt5cMCCONcsSThVAyTmgDWr+Rn/gpJ+zd8S/hL+0R4x+IWr6ZPc+EfGuqT6nYarGha233jGV7aRxkRyxuWUK2CygMuR0/rmrj/iDZeCdQ8Da9a/EmC1uPCpsp21RL5Q1t9jRC0plDcbVUEk9sZHNAH8LXgrxNq/gvxjofi/QJHh1PRL62vbZ4yVcTW8iyJgjkHcBX96g6c8V/FH+yn8JG+O37UHg7wDoVo/9k3erpd3Ktl/J0u0fz597evkoUBPVyo6kV/a7QAUUUUAFFFFABX5M/wDBSr9gmf8AaJ0aP4ufCWyjPxF0WIR3NsCsf9r2aD5UycL9oi/5ZsxG5coTxHt/WaigD+Sn9hX9tnxN+xb431bwJ8RdNvbjwTqVyw1TTfL2XunX8eI2uIopSmHAUJNExUsAOQyAH997n/go9+xbbeGT4o/4WbZSw7C620cFy16xAzs+zeV5gY9PmUDPeu9+Ov7Gf7OX7RjNe/Ezwhbz6wcAapZk2eofKMANPDtMoA4Cyh1HYDrXx1H/AMEZ/wBkxL8Xjan4pkhBJ+ztqFt5XOOMi0EmBj+/nk89MAH5AfthftV/EH9vn4v6L4O+HGiXx8PWcxt/D+iRoJLu4nlGJLmdYyy+YwHTcUijB55dm/d3/gnz+xXZ/sn/AA5k1HxTHDc/EXxMqvqtxGRItrCDmOyhfuqfekZeHk7lUQj6E+Bv7K3wF/Zzsjb/AAn8JWul3cibJtQkBuNQmB6h7mUtJtJ52KQg7KK+haACiiigCnqGn2OrWFzpWqW8d3ZXkTwzwyqHjlikUq6OrZDKykgg8EcV/KF+39+wN4q/Zo8XX/xA8AWE1/8AC3Up/Mt548yPpMkp/wCPa5P3ggY4hlPDDarN5nX+smqeoafYatY3GmarbRXlndI0U0EyLJFJG4wyujAhlI4IIwaAPxO/Yp/4KteANU8Gaf8ADz9p3VX0TxJpMQgi12WN5bXUIkwENw0YZorjHDMy7HxuLBjtr379of8A4Kp/s5fC3wnd/wDCr9ai+IHi2aN0s7axVzZxSlfkkubghU8sHqsZZ26YUHcOi+Jn/BKr9j74j6rca1BoF54QubrmQaDdC1g3H+JLeVJoY/oiKvt1zzPg3/gkN+x/4V1KLUdTtdb8UCGTzBBqeoDyTg5CstpFbllHoSc98jNAH4a/s6fs2/Gr9vz416j4r1uadtKvNQ+1+JfEMqhY4vNbe8UPG1p2XiKJRhBtLBUFf1weA/A3hb4Z+DdH8AeCbBNM0LQrdLW0t4+iRoOpPVmY5ZmOSzEsSSSat+FPCHhXwLoVr4X8FaPaaFo9ku2G0sYEt4Ix32xxgKM9ScZJ5NdFQAUUUUAfhP8A8FOv+Ce+seNNRuv2i/gRpBvNWkVn8RaRarmW5KD/AI/baMfflwMTRr8z8OoL793yl/wTv/4KKwfs42rfBv40fabjwFJM0ljdwoZZtImlcmVWjHzPbuxLsqAujbiqtuIH9QtfGXxv/YC/Za+Puoya94x8Ipp+uTMXl1HSHNhczM3VpvLHlysT/FIjN744oA5/xl/wUp/Y18IeF5fEsXxAt9ecRl4bDTIpZ7yduyCNlURsf+mrIB3Nfzt/GL4k/HD/AIKP/tIQx+EtEmuppgbXRdJiOYtO09WyZJ5ThFyTvnmbA3EKMAIo/a7Tf+CNX7JVje/arrUPE+oRf88J9Qt1j6k9YbWN/b73QeuSf0F+EHwE+D3wF0P/AIR/4SeFbLw7bOFEskCbrm429DPcSFppSOxdzjtigDy79jr9ljwx+yd8IbPwNphjvNfvtt1rmoquDd3pXBCkgN5MQOyJSBxliNztn6voooAK/j5/4KcXPiK4/ba+IyeImYtBJYR2oOdq2n2GBoQmeACDk4/jLd81/YNXxf8AtVfsJ/BL9rR7LV/G6Xej+JNOiEEGraa6JcGAEsIZlkV45YwzEjKhlJO1gCQQD+PnwVqPiLSPGOhap4Qkki120vraWweIkSLdJKphKkYOd+MYr+9RN+xfMADYGccjPfFfmr+zt/wS1/Z9+AHji0+I73eo+MNd0uQTae2ptEtvZyqTsmSGFEDSr/CzlgpwyqrAEfpZQAUUUUAFFFFABX5/ft/fsV6Z+1n8OkvPDqQ2fxD8Noz6RdyEItxGTueynf8A55yHlGP+rk54VnB/QGigD+O/9mP9oX4r/wDBP747ajY+K9Eu4LSR0svEug3A8qWSOMkxyx7vl82LcXhcHY6sRna+4f0V+Hv+Ckf7GOv+GI/FDfEe10tWjV5LO9hnivYmI5RoAjM7L0Jj3r6MRg17X8bf2Y/gX+0Rpwsfi14StNZmjTZDehTBfwLyQIrqIrKqgnOzcUJ6qa+E7r/gjR+yZPffa4tS8U20W4H7PHqFsY8DPGXtGfBzz8+eOvXIB+YP/BQD9ve+/a21XTvhH8HrO9i8DWt0jKjREXms3+4pE3kpuYRrn9zF95mO5xuCqn6Z/wDBM79gy9/Z90iX4x/F2wSP4g61D5VnaPh20iykA3AkZAuZukmMlEwmQWkFfYfwJ/Ym/Zs/Z1nXU/hz4Rh/tpc41W/Y3t+ueD5csufKBHBEQQHvmvq6gAooooA+V/2vv2WvCf7WHwlvPAmtbLLW7Pdc6LqRXLWV6FwM45MMnCSp3XkfMqkfy6eDfEHx9/4J2ftHQ6hrGkyaVrulZhvLKYn7JqumysN6pKuVkhk2ApIudrqDjcpWv7M68r+LHwQ+Evxy0H/hG/iz4WsfEtkobyvtMf76Av8AeaCdSssLHHLRup96APlX4bf8FNP2QPH/AIVh8Q6j41i8J3oj3XOm6sjw3MDjqoKq0cv+yYmbI6gHIH5Y/wDBRD/gpXofxl8N3PwN+AE058M3j7dY1iSNoDqEaEFbe2R8SLAWGZGdVZ8BQAm7f92av/wRt/ZJ1K7NzZXvibSoyf8AU22oQNGOQcAz2sr+33uh9cEfQ3wT/wCCen7KvwI1SPxD4X8JLq+twsrRX+syfb5oWXo0SuBDG4PIdIw/+1igD88/+CX3/BP7WvC+qWn7SPxy0g2V7EiyeG9KulxNEzj/AI/riI8o4XiBG+ZcmQgERmv3moooAKKKKACiiigAooooAKKKKACiiigD8NP+ChH/ACkK/ZX/AOwpon/p8jr9y6/DT/goR/ykK/ZX/wCwpon/AKfI6/cugAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACqGq6rpuhaXea3rN1HZafp8Mlxc3EzBIoYYlLySOx4VVUEkngAZq/WF4o8N6P4y8M6v4Q8Qwm50rXLO4sbuIOyGS3uY2ilUMhDLlGIypBHUHNAHzRq/7d37HmiWxu734taDIignFtc/a349EtxIx/Kv5z/8Ago/+2J4d/ay+JmiL4Bgmj8IeDreeCymuUMU11PdsjXE/lknZGRFGqKcNhSzAFtq/un/w6q/Yd/6EOf8A8HGpf/JNH/Dqr9h3/oQ5/wDwcal/8k0AfgJ/wT7/AGttO/ZK+MN1r3iqzmvfCniS0+wamLYB7iAK4khuI0LKHKNkMpPKMxHzAA/0oeH/ANvf9jrxLYx39j8V9Et0kUNsvZzZSjcM4MdysbAjuMcV5V/w6q/Yd/6EOf8A8HGpf/JNH/Dqr9h3/oQ5/wDwcal/8k0AfeXhfxV4b8b+H7LxX4Q1O31nRtSTzba8tJFmgmTJG5HUkEZBHHcVv1w/w2+HPhH4SeB9I+HPgOzOn6BocRhtIGlkmMaFmcgySszt8zE5ZjXcUAZ2r6Rpmv6Te6FrdrHe6dqUEltc28qho5oZlKSRup4KspII7g1/MD+0H+yR8YP+Cffxx0r9ob4Q2MniLwLomoDULK62NN9hjLENZagF+ZUKMYhPkK6nOVkO0f1H1FNDDcwyW9xGssUqlHRwGVlYYIIPBBHUUAfm78F/+Cqf7KXxTsLSHxPrj/D/AF2VR5tnrCMtur/xbL1AYCmehkMbEfwjpX1Jcftafst22nHVZfi94S+zAE7l1uycnHOAqyli3+yBn2rwr4q/8Ez/ANj/AOK97Pq934O/4RrUrk5e40GdrAEnqfs43WwJPJIhye5NeAwf8EXP2VYrozyeIfF00XaJr6xC/mtiG/WgD5j/AG+/+Co3hfxp4O1P4Kfs2XU13a6zG1tq3iAxvAjWrgrLbWiSKsh8wfK8rKo25CA7g6+a/wDBM/8A4J/+JPHni/R/2gvjBpT6d4P0OZLvSrG8iKyatcp80UxjcA/ZY2w4YjErAKAU3Gv1/wDhJ/wTr/ZH+Dt5b6xoPgiLWNWtXEkd7rMr6hIrqcqyxynyEZTyGWIEHnOQK+3aACiiigD8lP8Agrf+zn8R/jb8KfC3i34a6fNrd34FuryW6062UyXEtrepGHlijGWkaJoVyigsVYkA7a/lxlikhkeGZDHJGSrKwwVI4IIPQiv7+a/le/4LDWvw8sv2qLaDwbaW9trD6JbTa81sAu+9lllMZmUf8tvs/lszHllZCaAP1J/4I5+JtX1/9kefTdTkeSDw94j1Cws95JC27Q212VXPQCW4k49Sa/VivhP/AIJu/CG/+Dn7I/g/StagNtq3iAS67dxsCrI2oENCrA8hlt1iDA8hgR2r7soAKKKKACiiigD5F/bN/ZN8L/tb/CmTwhqMi6d4j0kyXWh6iQT9muiuCkmOTDMAFkA54DAFlFfy16BfftCfsCfH+y1nUdKn8OeKdDch7a6BNpqNk52yJvQ7J7eUDG5GOGAZSHUY/tOrzn4l/CH4X/GPRR4e+KXhfT/E9gm4xpfQLK0LMMFoXI3xMRxuRlPvQB8i/AX/AIKUfsu/Gnw/bXOseKrPwH4g8tftema7cJZrHIeCIbqXZBMhOdpVg+MFkUnFdh8Wf+Cgn7Jfwk0S41O/+IOm+IryNGMWn6DcR6pdTOOkY+zs0cZPrK6L714D4l/4I9/sf67dS3OmJr/h5JGLCKx1JXjQf3V+1w3DY+rE+9WPBv8AwSC/Y/8AC2oRX+rW+ueKliOfI1PUQsJPbIs4rZiB6FsHvmgD8Z/Ev/DQf/BU79pObVvDGj/Y9NtkS1haQt/Z2iaYjsy+fNjDSsWZ2CjfI5IRQqgL/Tf+zv8AATwV+zZ8KdI+FXgaLNtYL5l1dMoWa9vJAPOuZcfxOQMDJCqFQfKor0PwT4E8GfDbw5a+EfAGiWnh/RrMYitLKFYIlJ6ttQDLN1ZjkseSSa6ygAr8qv8AgpT+wlfftMaFafE/4YRx/wDCwvDds0BtnYIuq2KlpBAGPyrNGzMYicBtxRiPlK/qrRQB/Ln/AME+v207H9i3W/FHwY+O+gX+maNqV+LiaQW7C90y/RFikFxbOFkaN0VMhfnQrkK244/fTw3+2Z+yd4r02HVdJ+LnhhIZlDKl5qlvYzgHpugunilU+zKDW38Z/wBl34BftBwLH8W/BllrlzGoSO9w1vfRqOirdQNHMFB5279vqDXwnqn/AARm/ZO1C7e5s9V8VabGxbEMF/atGuRwAZrOR+Ooyx980Ae5/GL/AIKU/skfCPSrieDxnb+M9URf3Nh4fZb9pWPQfaEP2ZAO5aXOOgJ4r+ePx54n/aH/AOClf7RAu9A0N7q8lVbaysoS32DR9OViQZp2G1VyS0krAGRzhV+4g/dTwh/wSI/Y68MXsd5qlhrPigR8iLU9SKxkjoSLNLYn6E4PcV+g/wAP/hr8P/hV4ei8KfDfw9ZeG9JhORb2MCQozd3faMu57sxLHuaAPBP2Of2UfCf7JXwph8F6Q6ahr+pFLnW9TC7Td3QGAq55EMQJWJT2yxG52J+sqKKACiiigD8Y/wDgtlp19P8AAHwPqkIJtLXxKI5cDOGms5yhJ7D5GH41/N54Xtri88S6TZ2q7p57uCOMertIoA/Ov7m/ir8KvAnxr8B6p8NviTpi6toOroqzQlmRgyMHSSN0IZHRgGVgcgj0yD8L/Cr/AIJS/ss/Cj4gaV8RbA63rl9olwl3Z2+qXkMlrHcRPvikKQ28LOY2wVDOV4G4HnIB+llFFFABRRRQB8Df8FJfgL42/aE/ZkvvC/w8hN7r2iahbaxBZKQHvBbJLHJChPG/ZKzoP4mUKOSK/kM1bSNV0HU7rRdcsptO1CykaKe2uY2hmikQ4ZHjcBlYHqCARX99lfzvf8FubX4eW3ij4bS6faW6eNry3v3v5ogFnfT0MSWvn45YeZ5oiJ6bXA4oA9J/4Ie+JtXvPB/xX8HzyO2maVfaVe26kkos19HcxzbR2JW2jzj0FfuxX5Kf8Ed/hDf+A/2cNR+IWsQGC6+IGpG5twwKsbCyUwQMQefmk85l7FSpHBr9a6ACiiigAooooAK/lk/4LJadfWf7WlleXIPkX3hrT5IDjjak1zGwB7kMpJ+tf1N18wftMfsh/Bj9q/RtP0z4p2Vyt3o5kNjqNhMLe8txLjzEVmWRGRtoyrowBGRg80Afzff8Eora4n/bc8GywrlLe01eSQ+iGwmQH/vplFf1wV8XfsyfsGfAX9lLXNR8VfDuLUdQ13UoDatfarcJPLFbM6u0USxRwxqrMqknYWO0DdjIP2jQAUUUUAFfkV/wV7/Z58Y/F74P+G/iH4HsZdVvfh5cXkt1aQKXmbT75IhNMirksYmgjLKB9ws3RTX660UAfxFfsm/E/Svgz+0h8PviXr0jQ6VouqxNeyKpcx2swME77RydscjHA5OOOa/rluf2xP2UbTSl1mb4veFTbsgkATWLR5ipGR+5WQy54Py7c54xnivNvjN/wTz/AGUfjhqT694m8HR6TrErFpb3RnOnyylurSpEPKkYnku8Zb3r5wtP+CM37Jtve/aptV8VXUWc+RJqFqI/plLRX/8AHqAPi/8Ab0/4Kg2PxX8O3vwQ/ZtNz/YesK1tqutSRPDNewudptrOJsSLFIOJHdVdwSgULkt6r/wTa/4Jw694Q13S/wBof9oDThZ39oouNC0K4XM0EzcpeXanhJEHMURyysQ7bXUCv0++CP7Fv7NX7Pky6h8N/BVrDq6nI1K8LXt8p/6ZzTlzEPURbAe4zX1LQAUUUUAfDv8AwUa+Jniz4Ufsh+N/E3gm6+warcLa6ctwufMhiv50gmaMggq/luwVhypO4cgV/Ld+zn+078RP2XfEOp+K/hja6Y2r6pbratc39p9pkigDb2SE7l2CQhd/rtX0Of7Jvi/8Hvh/8dvAt58Nvidpzar4fv5IZZrdZ5bcs8EgkjPmQsjjDKDw3PQ8V8d/8Oqv2Hf+hDn/APBxqX/yTQB+L3/D4H9sP/nvoP8A4LP/ALbR/wAPgf2w/wDnvoP/AILP/ttftD/w6q/Yd/6EOf8A8HGpf/JNH/Dqr9h3/oQ5/wDwcal/8k0Afi3J/wAFf/2xHRlW60JCRgMNMGR7jMhH5iviP42/tE/GX9onX4fEfxf8TXGvT2oZbaJgkNrbK+Nwht4gsSZwNzBdzYG4kgV/UB/w6q/Yd/6EOf8A8HGpf/JNH/Dqr9h3/oQ5/wDwcal/8k0AYv8AwSW8Lf8ACPfsXeHdSKbG8R6lqmoH1O24a0BP1W3GPbFfpXXD/Db4c+D/AIR+B9I+HHgGx/s3w/ocRhtLcyPKY0Z2c5eRmdiWYkliTzXcUAfzMf8ABXb9m74l6V8b779oSw0yfVPBviG0skuLuBDImn3NpClsY7jbkxo4RWR2wpLFc5GD+NiO8brJGxVlIIIOCCOhFf353Vta3trNZ3sST286NHJHIoZHRhhlZTwQRwQeCK/ih+IXgTRPid+1p4i+HHwJs4v7J8QeK7rTtDitvmtxBLdtHG8eOkAX5weix+woA/sK+AHiPVfGPwI+HHi7XWZ9S1vw3o99dM5yzT3NnFLISe5LMSa9brn/AAn4csPB3hXRvCOlDbY6HZW9jAOmIraNYk/8dUV0FABRRRQAUUUUAfn9+39+xXpn7Wfw6S88OpDZ/EPw2jPpF3IQi3EZO57Kd/8AnnIeUY/6uTnhWcH+fD9mP9oX4r/8E/vjtqNj4r0S7gtJHSy8S6DcDypZI4yTHLHu+XzYtxeFwdjqxGdr7h/YhXgvxt/Zj+Bf7RGnCx+LXhK01maNNkN6FMF/AvJAiuoisqqCc7NxQnqpoA8U8Pf8FI/2Mdf8MR+KG+I9rpatGryWd7DPFexMRyjQBGZ2XoTHvX0YjBr8QP8AgoB+3vfftbarp3wj+D1nexeBrW6RlRoiLzWb/cUibyU3MI1z+5i+8zHc43BVT9Prr/gjR+yZPffa4tS8U20W4H7PHqFsY8DPGXtGfBzz8+eOvXP1x8Cf2Jv2bP2dZ11P4c+EYf7aXONVv2N7frng+XLLnygRwREEB75oA+PP+CZ37Bl7+z7pEvxj+LtgkfxB1qHyrO0fDtpFlIBuBIyBczdJMZKJhMgtIK/XGiigAooooA/mp/4KVf8ABPXWvAHiPVfj98EdHa68GaiXu9Y060XL6VcE5lnjiUZ+yv8AeO0EQndkLHt29n/wT5/4Kd+G/h74Q0/4H/tHXc1vpmkKsGja6I2nWC1UYS1u1jBk2x42xSKrYXCsAqhq/ohZVdSjgMrDBB5BBr4J+Lv/AATR/ZG+MGqya9f+FG8M6nPkyz6DL9gWQnnc0AV7fdnksIgST8xNAGX8Wf8Agp7+yT8NfC0+s6H4rj8baqUza6ZpCvJJK7D5d8zKIoVB+8WbcB0Rjwf56dL8NftC/wDBSL9o7UtasrX7Vqmqyo95ckMmm6Np6nZErNztjjQYReZJGBIDMWNfuV4e/wCCOf7ImjXq3epS+I9eiVlPkXuoxpGQMZBNrbwPg98ODzxjiv0c+HXwu+HXwj8OxeE/hn4dsvDWkxYPkWUKxB2xjfIw+aRz3dyWPcmgDmPgH8D/AAV+zt8LdG+FXgSDZYaXHmadgBNeXT4M1zMR1eRufRRhFwqgD2OiigAr8mf+ClX7BM/7ROjR/Fz4S2UZ+IuixCO5tgVj/tezQfKmThftEX/LNmI3LlCeI9v6zUUAfyU/sK/ts+Jv2LfG+reBPiLpt7ceCdSuWGqab5ey906/jxG1xFFKUw4ChJomKlgByGQA/vvc/wDBR79i228MnxR/ws2ylh2F1to4Llr1iBnZ9m8rzAx6fMoGe9d78df2M/2cv2jGa9+JnhC3n1g4A1SzJs9Q+UYAaeHaZQBwFlDqOwHWvjqP/gjP+yYl+LxtT8UyQgk/Z21C28rnHGRaCTAx/fzyeemAD8gP2wv2q/iD+3z8X9F8HfDjRL4+HrOY2/h/RI0El3cTyjElzOsZZfMYDpuKRRg88uzfu7/wT5/Yrs/2T/hzJqPimOG5+IviZVfVbiMiRbWEHMdlC/dU+9Iy8PJ3KohH0J8Df2VvgL+znZG3+E/hK10u7kTZNqEgNxqEwPUPcylpNpPOxSEHZRX0LQAUUUUAfy8f8FnrnxE/7Ueh2mps39mQ+GbRrBedgV7m585sdN5kXDd9oXPavyLVmRg6EqynII4IIr+2D9pv9kr4QftYeGbTQPidaTx3ell20/UrKQRXtm0uN4RmV0ZH2jcjoynAIAYAj45+E/8AwR//AGcPh14xtPF3iPVNW8aLp0izQWGoNDHZmRCCrTJDGrSgMM7SwQ9HVhkEA/QX9n+/8R6p8CPhzqfjBnfXbvw5pE1+0hLO11JZxNKXLc7i5JbPfNeuUAADA4AooAKKKKACiiigD5X/AGvv2WvCf7WHwlvPAmtbLLW7Pdc6LqRXLWV6FwM45MMnCSp3XkfMqkfy6eDfEHx9/wCCdn7R0OoaxpMmla7pWYbyymJ+yarpsrDeqSrlZIZNgKSLna6g43KVr+zOvK/ix8EPhL8ctB/4Rv4s+FrHxLZKG8r7TH++gL/eaCdSssLHHLRup96APlX4bf8ABTT9kDx/4Vh8Q6j41i8J3oj3XOm6sjw3MDjqoKq0cv8AsmJmyOoByB+WP/BRD/gpXofxl8N3PwN+AE058M3j7dY1iSNoDqEaEFbe2R8SLAWGZGdVZ8BQAm7f92av/wAEbf2SdSuzc2V74m0qMn/U22oQNGOQcAz2sr+33uh9cEfQ3wT/AOCen7KvwI1SPxD4X8JLq+twsrRX+syfb5oWXo0SuBDG4PIdIw/+1igD88/+CX3/AAT+1rwvqlp+0j8ctINlexIsnhvSrpcTRM4/4/riI8o4XiBG+ZcmQgERmv3moooAK8f+O/wR8D/tD/DDWPhX4/tvN07VEzHMgHnWlymTFcwk/dkjbkdiMq2VZgfYKKAP4yPiD8L/ANoP/gnz8e9K1i4RtO1bRblrnRtXiQvY6jAuUYoejK6MUmhYhlDFWABBP9B/wK/4KlfswfFLwnbXvjnxBF4A8SRxgXmn6kHEQkC5Zre5VTHJGTnbuKydig4J+8/H3w48A/FPw9N4T+I/h+y8SaROctbX0CToGwQHXcCUcZ4dSGHYivzi8Tf8EeP2QtevZLvSz4h8OpIzMILDUUeJd2eF+1wXD4HbLH3zQB81ft2/8FTvBOo+CNT+Ef7M2oy6nf63Eba/8QLE8MFvayqVlitPNCyNM4O0ybQqKSULNgp4D/wTR/4J+618S/E+lfH34yaQbbwLpjLdaVZXS4bV7lSDFI0Tcm0Q/NluJSFUBk31+sPwm/4Ji/sh/CXV4dft/DEvinULfBik1+cX0aMOd32cJHblvQtGcdsV+gMUUcMaQwoI44wFVVGAoHAAA6AUAPooooAKKKKACiiigAooooAKKKKACvx7/wCC1n/JsHhP/scbT/0339fsJX49/wDBaz/k2Dwn/wBjjaf+m+/oA/T74Pf8kk8Ef9gPTf8A0mjr0avOfg9/ySTwR/2A9N/9Jo69GoAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigD8Bf+Civ/BNbxBqviDU/wBoH9nLTWvpr95LzW9Btx+/+0E73u7FBy5c5aSEfNv+aMNuKq79jr/grTpmhaLZfC39q5bqC70sLaweI44nnZkj+XbqMK5l8xMYMsasX/jQMGdv34r5i+NP7G37Nf7QFy+p/E7wPZ32rOuP7Rti9lfH0Lz27RtJt7CTcB6UAauh/tc/steItPTUtK+LXhZoXXfibWLS3lUf7cU0iSJ/wJRXjvxZ/wCCkH7Ifwn0y4un8dWviy/jXMVj4eZdSkmbsomiP2dPcvKv4nivnq+/4Iw/so3czS2+teLLJW/giv7NlXkHjzLJ29uSeD6816B4I/4JLfsb+D7tb3UtF1PxW6YKrq2oOYwR3KWi2yt9GBHtQB+Lviq7/aR/4KqftBfbfDWjGz0XTALa3DM39maHYM2S08xGHmk+8+0b5SMImxAF/pc/Zx/Z/wDBf7M/wn0n4VeCA0tvZbprq7kAE17eS4864kx3YgBRztRVQEha9S8KeEPCngTQrbwx4K0e00HSLMbYbSxgS3gjH+ykYCgnucZPeujoAK/B7/gtr8TPFmlaF8PPhTpt19n0DX2vdRv40yGuJbJoVgVznlEMjNt6FtrHlRX7w182/Hn9kn4D/tL3mj3/AMZPD8mtT6DHNFZsl7dWnlpcFWkBFvLGGyUX72cY4oA/lx+AX7fvx1/Zq8Cj4e/Cy30S005riW6mln0/zbm4nlPLyybxuKqFReOFUD1J9u/4fA/th/8APfQf/BZ/9tr9of8Ah1V+w7/0Ic//AIONS/8Akmj/AIdVfsO/9CHP/wCDjUv/AJJoA/F7/h8D+2H/AM99B/8ABZ/9trN1X/grn+2XqNjLZ2ur6RpkkgIE9tpcRlTPdfOMiZ+qmv2z/wCHVX7Dv/Qhz/8Ag41L/wCSaP8Ah1V+w7/0Ic//AIONS/8AkmgD+T7xf4x8YfEjxTe+LfGuq3Wv69qsgee6upGmmlc4VRk9gMKqjhQAAAABX90fw+8NJ4L8BeGvB0YCpoWmWdgoHQC1hSIY/wC+a+KdO/4Jc/sTaVqFrqdn4EmW4s5UmjLatqLgPGwZcq1wQRkdCMHvX6C0AFfy8f8ABZ658RP+1HodpqbN/ZkPhm0awXnYFe5ufObHTeZFw3faFz2r+oevmT9pv9kr4QftYeGbTQPidaTx3ell20/UrKQRXtm0uN4RmV0ZH2jcjoynAIAYAgA/ifVmRg6EqynII4IIr+5/9n+/8R6p8CPhzqfjBnfXbvw5pE1+0hLO11JZxNKXLc7i5JbPfNfn18J/+CP/AOzh8OvGNp4u8R6pq3jRdOkWaCw1BoY7MyIQVaZIY1aUBhnaWCHo6sMg/rCAAMDgCgAooooAKKKKACvlf9r79lrwn+1h8JbzwJrWyy1uz3XOi6kVy1lehcDOOTDJwkqd15HzKpH1RRQB/GZ4N8QfH3/gnZ+0dDqGsaTJpWu6VmG8spifsmq6bKw3qkq5WSGTYCki52uoONyla/o1+G3/AAU0/ZA8f+FYfEOo+NYvCd6I91zpurI8NzA46qCqtHL/ALJiZsjqAcgfVXxY+CHwl+OWg/8ACN/FnwtY+JbJQ3lfaY/30Bf7zQTqVlhY45aN1PvX556v/wAEbf2SdSuzc2V74m0qMn/U22oQNGOQcAz2sr+33uh9cEAHwn/wUQ/4KV6H8ZfDdz8DfgBNOfDN4+3WNYkjaA6hGhBW3tkfEiwFhmRnVWfAUAJu3+zf8Evv+Cf2teF9UtP2kfjlpBsr2JFk8N6VdLiaJnH/AB/XER5RwvECN8y5MhAIjNfoZ8E/+Cen7KvwI1SPxD4X8JLq+twsrRX+syfb5oWXo0SuBDG4PIdIw/8AtYr7aoAKKKKAKGq6rpuhaXea3rN1HZafp8Mlxc3EzBIoYYlLySOx4VVUEkngAZr5a1f9u79jzRLY3d78WtBkRQTi2uftb8eiW4kY/lX0v4o8N6P4y8M6v4Q8Qwm50rXLO4sbuIOyGS3uY2ilUMhDLlGIypBHUHNfBf8Aw6q/Yd/6EOf/AMHGpf8AyTQB+Fn/AAUf/bE8O/tZfEzRF8AwTR+EPB1vPBZTXKGKa6nu2RrifyyTsjIijVFOGwpZgC21eX/4J9/tbad+yV8YbrXvFVnNe+FPElp9g1MWwD3EAVxJDcRoWUOUbIZSeUZiPmAB/fv/AIdVfsO/9CHP/wCDjUv/AJJo/wCHVX7Dv/Qhz/8Ag41L/wCSaAPVfD/7e/7HXiWxjv7H4r6JbpIobZezmylG4ZwY7lY2BHcY4r6d8L+KvDfjfw/ZeK/CGp2+s6NqSebbXlpIs0EyZI3I6kgjII47ivg3/h1V+w7/ANCHP/4ONS/+Sa+2fht8OfCPwk8D6R8OfAdmdP0DQ4jDaQNLJMY0LM5BklZnb5mJyzGgDuKKKKAPwH/4Kf8AizXP2hv2lPhl+xX4DnLPFdQXGo7fmWO91AYRpF9LWz3TH/ZlPpX7p+DPCWh+AfCOi+B/DMAtdJ0Czt7C0iH8EFtGI0BPc7VGT3PNeBaH+x/8F/Dv7R19+1HpVpdp4z1K3nhmElwZbTzrgKj3KRyBnSXylMY2uIwjMAmTkfUVADJI45o2hmUPG4KsrDIIPBBB6g1/KD498IeI/wDgmn+3XpHjKHT5rnwhb30t9pbLyLvRLwNDcW6sflM8EcrRkNj51R8BWUn+sGvJfjN8DPhZ+0B4Qk8D/FnQYdc0st5kW8tHNbygYEsE0ZWSNwOMqRkcMCpIIB8wfFf/AIKL/sy+C/gpefE3wh440vxHqt1ZM+laPbXCPfy3cinyUuLUHzrdVf8A1rSqu1QcZbap/Hr/AIJMfs+6/wDFf4/T/tA+J4ZJdB8EvNMtzIPlu9auVIRAT94xLI0zkfdby8/er9HtK/4I2/skafrKand3vibU7ZHDGxuNQgW3YA52loLWKbB6cSg++ea/TPwL4D8G/DLwrp/gjwBpFvoWhaXH5dtaWybI0HUn1ZmOSzMSzEksSSTQB1tFFFABRRRQAUUUUAFFFFABRRRQB+Hf/Bb7/kmnwx/7C99/6TrX7fW//HvF/ur/ACr8Qf8Agt9/yTT4Y/8AYXvv/Sda/b63/wCPeL/dX+VAE1FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBQ1XVdN0LS7zW9Zuo7LT9PhkuLm4mYJFDDEpeSR2PCqqgkk8ADNfLWr/t3fseaJbG7vfi1oMiKCcW1z9rfj0S3EjH8q+l/FHhvR/GXhnV/CHiGE3Ola5Z3FjdxB2QyW9zG0UqhkIZcoxGVII6g5r4L/4dVfsO/wDQhz/+DjUv/kmgD8LP+Cj/AO2J4d/ay+JmiL4Bgmj8IeDreeCymuUMU11PdsjXE/lknZGRFGqKcNhSzAFtq8v/AME+/wBrbTv2SvjDda94qs5r3wp4ktPsGpi2Ae4gCuJIbiNCyhyjZDKTyjMR8wAP79/8Oqv2Hf8AoQ5//BxqX/yTR/w6q/Yd/wChDn/8HGpf/JNAHqvh/wDb3/Y68S2Md/Y/FfRLdJFDbL2c2Uo3DODHcrGwI7jHFfTvhfxV4b8b+H7LxX4Q1O31nRtSTzba8tJFmgmTJG5HUkEZBHHcV8G/8Oqv2Hf+hDn/APBxqX/yTX2z8Nvhz4R+EngfSPhz4Dszp+gaHEYbSBpZJjGhZnIMkrM7fMxOWY0AdxXEfEzwi/xA+G/ivwHHc/Y38SaTfaas+M+UbyB4Q+O+3fn8K7eigD+FH4t/Bz4kfAzxneeA/ifok+iataMwAlU+VPGCQJYJPuyxNj5XUkduuRX2v/wSc8TavoX7avhXSdOkdbbxFY6rZXiqSFaGOylu13DuBLAhHvX7a/8ABVq1+HjfsdeJdQ8a2lvcapBcWSaE8gAnj1CW4QHyG6g+QJWcD70atmvy3/4IyfCG/wDE3x1174wXMBGleC9Ne2hlIOGv9R/dqqnodsCy7scjcufvCgD+mqiiigAooooAK/kf/wCCqHxM8WeOf2vPE/hnXbrfpXgpbfTtMt1yI4YpIIp5WxnBeSRyWbqQFXoor+uCvin4m/8ABPT9k74weOtW+JPj/wAITaj4g1yRJbu4XU76ASOkaxqRHFOqL8qAfKo9etAH4D+Gv+Crv7U3g7w9pvhTwxD4d03SNIt4rW0todL2xwwQqERFHm9ABW5/w+B/bD/576D/AOCz/wC21+0P/Dqr9h3/AKEOf/wcal/8k0f8Oqv2Hf8AoQ5//BxqX/yTQB+L3/D4H9sP/nvoP/gs/wDttcB8Q/8AgqL+2L8Q9BuPDkviqDw/aXaGOZ9HtI7S4ZCMEC4+eWP6xsp98V+8H/Dqr9h3/oQ5/wDwcal/8k0f8Oqv2Hf+hDn/APBxqX/yTQB/PR/wTw8Mt4y/bT+F1hKDL9n1KTUWJ550+3luwxP+9EPxr+yivj/4PfsHfsv/AAG8cW3xH+GHhOTS/EFnFNDFcPqF7chEnQpJhJ5nTJUkZxkZ4r7AoAK/ID/gpV/wT81L4/qPjb8HbeNvHenW4i1DT+EOr28IxG0bEhRcxKNo3f6xMLkFFDfr/RQB/P7+xT/wUs8MfBDwTYfs6ftQ6TqPhu88G7rC21H7JI7RQIx2wXtqB58bwg7VZEbcoAZQwLN+uHh39sb9lLxTZx3ukfFvwxslXeEuNVtrSYD/AGobh45Fx3BUEd61PjP+y38Af2goQvxa8F2Ot3SKFS9Aa3vkUdFW6gaObaP7u/b6g18I6v8A8EZP2UNRumuLHWPFWlIzZ8m3v7V41HoDPZyv9MsTQB6x+0B/wU4/Zi+DOgXTeF/Edr8QvEuw/ZdO0WYXEDuehmvYw0EaA/ewzP6Ia/nh8I+Af2hf+Chv7Qepa1BC1/q2vXKzanqbxuunaXbABUDsMhI4o1CRR5LvtAG45Nfv14M/4JHfsc+FL6O+1PTNX8U+VyItU1FvKJHQstoltu+h+U9wa/QvwR4C8FfDXw9b+Evh/odn4e0a1yY7SxgSCIE9W2oBlm/iY5JPJJoA4z4C/BXwl+z38KNA+E3gxM2OiQBZJ2ULJdXL/NNcSY/jlcliMkKMKPlAFewUUUAFFFFAHg3jL9qL9nT4eeIrzwj45+JGhaFrenbPtNld38MVxF5iLIgeNm3AsjKw45BBr8jv+Cm37ePwN+IfwOu/gb8INfTxXqPiG6tJL64tFcWlta2ky3AHmuoWR3ljQBUyAMliDgH9Gvip/wAE+/2U/jR491X4m/EXwjLqXiLWjE11cLqV9AHMESQJiOGdEXEcajhRnGTzmvPv+HVX7Dv/AEIc/wD4ONS/+SaAP5k/2WfjNF+z3+0B4L+MF1ayXtp4fvGNzDEQJHtbmJ7afZngsIpWKgkAnAJGcj+rzwv+35+x34s0qHVbH4qaNZLMgYxahMbGdCeqtHcBGBHQ4yPQkc15f/w6q/Yd/wChDn/8HGpf/JNH/Dqr9h3/AKEOf/wcal/8k0Affmha5o3ifRbDxH4dvYdS0vVII7q1urdxJDPBMoeOSN1yGVlIII6g1q1zPgvwf4f+HvhDRfAnhS3Nnovh+zgsLKEu8pjt7ZBHGpeQs7YVQMsST3NdNQB/Ez+1N+zd8S/2bvijq/hjx1pk6WFxdzvpmp7D9l1C2Llkkil+6X2keYmdyE4YdCdD9iLxNq/hP9rj4Salosjxz3PiPT7B9hKlrfUJltJ1OOxilbI9K/qz/bVtfh5P+yv8TJ/idaW95o9nol5NGtwBxerEwszEx+7MbgosbDncQO9fzcf8EuvhDf8AxS/a48MaqIC+k+BxJrt7IQdqtbjbarnpua4aMgdSqsR0NAH9dVFFFABRRRQAUUUUAfzJ/wDBRj/gnV4i+GHiXU/jV8DtGm1LwLqTSXeo2NqnmSaPMTukZY1+Y2jZLAqCIuVbagUna/4J8/8ABTXT/g54fsvgl+0BJPL4TscppOsxo9xLp8ZOfs08ahne3Xny2QF4/ubWTbs/pS68GviL4uf8E7P2R/jHdyarrngeHRdUlYu93ojtpsjs3LF44cQuzHks0ZbPfrkA9Stf2vv2VrzSRrcPxd8KC0K7svrNpHIMjODE8gkDY/hK7vavya/by/4Kh+DfEfgvVPgl+zPdS6zc+IImstR11YnihjtpgUlgsw4WR5ZAdhk2hVUnyyzEMn0Cf+CMP7KJuvPGt+LBHnPlC/s9n0z9i3Y/4Fn3r61+B/7C/wCzF+z7e2+t+APB0Mmu2w+TVNRd768Vv70bTEpC2OMxInH1NAH5nf8ABM7/AIJ2674Z1vTv2jfj3pf2K7tVWfw9otypE8Up5W9uo2HyOg5hjb5lY72CsqV+9dFFABXmvxG+Mnwo+EENjcfFLxbpnhWPU2kW1bUbqO2E7RBS4j3kbtoZc46ZHrXpVfPnx6/Zb+Cf7TMGi23xl0J9bj8PNcPZBLu5tPLNyEEufs8ke7Plr97OMcdTQB8+/F3/AIKbfslfDLw1e6lo3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4e1+58290xm2raqeAbDdkQ+WoACfccD5vnPmD9xvjL4J8DWnwf8c3S+HdOUw6Fqbgi0hBG21kP92v52f2IfBvhrx/8AtR+BvC/jDT4tV0meW9mltphuika1sp7iIOvRlEkakqchsYYEEigD+m/wH410P4j+DdH8deGjK2l63bpc25niaGTY443I4BB/MHqpIIJ62moiRIscahEQAAAYAA6ACnUAFFFFABRRRQB+LX/BQv4ReKfg948039rP4O3txot3dTx2+qyWjFTDd7dsU5AyDHOq+XKrDYWA3BjIa+k/2Nf269E+PiQeAPiAIdH8exRny9nyW2pqgyzQAn5JQBl4s8jLJkZVPtf4neANG+Kfw98QfDvX1zY6/Zy2rtjJjZx+7lUf3o3Cuvuor+Rq9tvEfw68Z3Fl5smm694Zv3iMkTFJILuzlKkqwwQyOvB9qAP7IKK8x+C3jW++I/wi8G+PNUiEN7r+k2d5OijCiaaJWk2j+7uJx7Yr06gCKeeG1gkubmRYoYVLu7HCqqjJJJ6ADrX8kfx9+KM/xa+N3iz4nQSPGmqag8lm2SrpbQYiteeoZYkT8a/fD/goh8aR8KP2f7/Q9NuPK1zxuzaVbAHDrbMubyUd8CI+XkdGkU1+cv8AwT4/Y/8A+Fr67F8YviLZbvB2izf6DbSr8up3kR7g/eghYfP2dxs5AcUAfdv7CUX7Yr+HtP1H4y31vc+CLu2EtkuqM0uuFHXMLK68+WeCftBL4xtAFfo9QBjgUUAFFUrbU9Ovbi6tLO6innsXEdxHG6s8LsocLIoOVJVgwBwcEHoau0AFFFFABX80f/BRP4p/8LI/aT1fS7ObzNM8Gxpo0AB+XzoSXujj+8JmZCe4QV++v7Qvxasfgf8AB3xN8SboqZ9MtmWzjbpLezfu7dMdSDIwLY6KCe1fz3/sZfAu/wD2lvjulz4pV73QdIl/tbXZpPm88s5ZIWPdriTIbvsDkcigD6X/AGP/ANtP9nX9mz4SReENU0XxBd+IdQuZbzVLm2tLRopJWOyNI2e7RyiRKoGVHzbjgbq+qf8Ah67+zp/0APFP/gHZf/JtfoV/wgPgUcDw5pv/AIBw/wDxFL/wgPgX/oXNN/8AAOH/AOIoA/PT/h67+zp/0APFP/gHZf8AybX52ft2ftT/AA8/acvvBlz4BsNTsV8PR36XH9pQwxFjdGAp5fkzTZx5bZzjtjPb+h7/AIQHwL/0Lmm/+AcP/wARX4xf8FZNB0PQ9U+GY0XTrbTxNDq28W8KRb9rWuN2wDOMnGaAPL/2Gv2yPhh+zR4N8SeHfHmm6ve3Or38d1C2mwW8qBFiCEOZriEhsjsCMd6+4v8Ah67+zp/0APFP/gHZf/Jtebf8Ep/Dnh7W/hn42m1nS7W/kj1eJVa4gSUqPs6nALg4Ffqp/wAID4F/6FzTf/AOH/4igD89P+Hrv7On/QA8U/8AgHZf/Jtcb4//AOCr/wAMR4S1Ffhl4b1iXxK8ZWzOqQW0Vmjtx5khhuZXYJ1CBRuPG5Qc1+nv/CA+Bf8AoXNN/wDAOH/4ij/hAfAv/Quab/4Bw/8AxFAH8ims/EHxt4g8bTfEjVtauZ/E810t6dQ8wrOtwhDI6MuNmzA2BcBQAFAAAr+iP9iX9sTTf2iPDQ8KeLZY7T4gaNCDcxjCLfwrgfaoV4APTzUH3WOQArAL9kf8ID4F/wChc03/AMA4f/iKu6f4U8LaTci90rRrKzuFBAkht443APBAZVB5oA36KKKACv5M/wBqhNn7SfxPH/UxamfzuHNf1mV/J5+1mmz9pj4mj/qP3x/OUmgD96dK/wCCf/7Is+mWc83gFGkkhjZj/aWpckqCT/x81f8A+HfX7IP/AET9P/BlqX/yTX1xov8AyBrD/r3i/wDQBWnQB8O+IP2BP2SLLQdSvLXwCiTQW00iN/aOonDKhIODc44Ir+e34I/DKT4yfFbw18Mo78aWdfuvINyY/N8pQrOzBMruO1TgZHPcV/Wt4q/5FfWP+vO4/wDRbV/MF+w9/wAnXfDn/r/k/wDSeWgD+j34H/BTwb8AfAFr8PPBH2h7KGRp5ZbmUyyz3EgUPI3RV3bR8qKqj0yST+IP/BTL44J8RfjDb/DLQp/N0jwIrwS7DlZNTmwZ+nXygFi55DCT1r9i/wBq3482P7PPwc1bxsWRtZuB9i0iBsHzb6ZTsJXukQBkf1VcZyRX5Mf8E8/2YL74ueNn+P3xJie60HRrtprQXGWOpaoG3mVt33o4WO5j0aTC8hXFAHp/we/4JY6J4l+HOjeIvil4h1PRfEWpwi4msbVIQtsknMcb+YjN5gTG8cYYle2T6b/w6W+EX/Q6a7/3za//ABqv1cooA/KP/h0t8Iv+h013/vm1/wDjVfJH7Zv7DvgP9mj4XaZ478M+IdS1W7vtYg00xXghEYSW3uJiw8tFO4GEDrjBNf0J1+XX/BWKXHwD8MQ/3vE0Df8AfNldj+tAH5Sfsjfs46z+0h8TP7A0/WBoFlokaX97eJk3CRrIqqLcDH70sRtYkBeW5ICn+pLS7E6ZplpppuJrv7JDHD51w2+aXy1C75GwNztjLHAycmvwy/4JJRZ+JHjyb+7pNuv/AH1Pn+lfu3QAUUUUAFfhB/wVs/5Kb4F/7A8//pQa/d+vwg/4K2f8lN8C/wDYHn/9KDQB+g3/AATs/wCTQfA/+/qn/pyua+2a+Jv+Cdn/ACaD4H/39U/9OVzX0bqHxj+GOl/Emw+EOoeIbWHxfqdu1zBp7MfMaNecE42q7DLKhIZlBKggE0AemV/KH8fxj9q7x8P+pv1D9b56/q8r+UX9oH/k6/x7/wBjdf8A/pa1AH9XVfjX/wAFeP8AkFfC7/rtrH/oNpX7KV+Ln/BXu4+X4VWoPU625/8AJID+tAHgv7B3jX9r7xJ4yt/CPwr1+SbwnphjbUv7YVrzTLK3J4VQzCRXbB8uOF0LEEnChmH9DtfkL/wSOg2+CPiHc/8APTUbJP8AviFz/wCzV+vVAH82/wDwUx/5Op1T/sG6d/6Kr91f2Yjn9nH4X/8AYs6R/wCkkdfhV/wUx/5Op1T/ALBunf8Aoqv3S/ZeOf2b/hf/ANi1pP8A6Sx0Ae7UUUUAFFFFABXknxu+M/g74C/D3UfiF4zn2wWq7Le2VgJry5YHy4IgerMRyeiqCx4BqT4x/Gn4f/AnwbceNfiFqK2drHlYIFw1xdzYyIYI8gu5/JR8zEKCR/O7468afHT9vz41Q2Gh6e84Usun6dGx+x6XZlhulmkIwM8GWUjLthVH3EAB5h4o8R/Fr9r743/a/IfVvEviWcQWlpFnybWBclIkzwkMK5ZmP+07HJYn+iz9ln9mXwr+zR4BTQdO2X3iHUQkuraltw1xMBwiZ5WGPJEa/Vj8zGsH9lX9kPwN+zNoJntiuseL9QiCX+quuDt4YwW6n/VwggH+85ALHhVX66oAKa6JIjRyKGVgQQRkEHqCKdRQB/Pp+3f+xlffB7XZ/jD8KrNx4MvZRLdQW4OdIuWbOQF5W3duUYcRt8hwNmfZP2Sf+CkiQxWHw5/aJuDhAsFr4iOWOBwq34GT7eePYyD70lfs7fWNlqdlcabqVvHd2l1G0U0Mqh45I3G1kdWyGVgcEEYIr8F/2xv+CeusfD6TUPib8ELaTVPC2Wnu9KQGS605erNEOWlt1/F4x13KCwAP3osb+x1Syg1HTLiO7tLlFkimhcSRyIwyrIykhgRyCDg1ar+VD4B/tafGT9ni8SPwdqn2zQmfdNpF9umsnycsUXIaJz/ejKknG7cOK/ZL4Nf8FMfgb8QVh03x+svgPV3AB+1Hz7B2/wBm5RQV9f3qIB03GgD9HaKwfDvinwz4v05NY8J6vaa1YSfduLKeO4iP0eMsv61vUAZmtazpPhzSL3X9eu47DTdOhkuLm4mYJHFDEpZ3ZjwAoBJrL8IeNfCPj/Q4fEvgnWLXXNLuPuXFpKs0ee6kqTtYd1OCOhArcv7Cx1WxuNM1O3ju7O7jeGaGVQ8ckcgKsjqcgqwJBB4Ir+eT9pL4Y/E/9hL4vxeNfgrrN7pHhXxE7S2EkTF4kdTuexukbckoTOY/MB3JzyysQAf0TVDPbW90giuYlmQENtdQw3Kcg4PcHkV+b37JP/BQfw38bL2z+HvxMgh8O+M7jEdtLGStjqD9lj3EmKZu0bEhj91skJX6T0Acx418W6R4C8Ia1421+TytO0Kznvbhu/lwIXIHqxxgDuSBX57/APBOTw/rHifSPH37SXi1M6x8SNYmMRPIW1tnYt5ZPRPOdo8dhEvpWf8A8FOfiffad8PfD/wN8MFptb+IF7GJIYz87WlvIu1MdQZrgxhfUI4r7t+GXg/Qfgn8I/D3gyW6gs9P8MadDBPcyOsURkRQZpmZsBfMkLOSccmgD1KvyD/4KOftcxaJpt1+zz8N70PquoJ5ev3MJz9nt3H/AB5qR/y0lB/e/wB1Pk5Lnbvftbf8FF/DPhTTbzwB8AL+PW/EdyGhm1iHElnY54PkNgrPN/dZcxrwcsQVHJ/sWfsg+HfDl9b/ABy/aC1K0u/FNxJ9ssdMu7qORrWVzv8AtV5uY77kk7lU58s/M2ZOIwC7+wd+wqfDP2D42/GnT/8AicHbPo+kTr/x6Dqlzcof+W3eOM/6v7zfvMBP19rlX8deCI/9Z4h05frdwj/2aqr/ABJ+Hcf+s8U6Un1voB/7PQB5P+1HL8btO+Fk/iT4B3qQeItAnjv5bR7dLg6hZwhvOtlVwcMwIYbcO23apBYV41+y1+3h8PP2gBbeFPEax+FvHDAL9ilf/R7xh1NpI3Unr5TfOP4d4BavrGT4s/CuL/W+M9FT66jbD/2pX8937e/wz8C+CPi4vxC+E+u6bfaN4sd7t4dNvIZXsdQQhphthclEkJEiHgBi6jAUUAf0o0V+RX7BX7c2p+O7+y+CHxju/tGuOmzSNWlPz3ewZ+z3JPWbA+STrJja3z4L/rrQAUUUUAFFfG3xY/bm+C/wU8a3fgLx/a61ZanaBXBWw3QzROMrJC5cB0PI3DuCDyCK82/4ef8A7MH/AD01r/wAH/xygD7Y+KM4tfhn4uuT0i0i/f8A75t3Nfys/s7+F/G/jT4z+GPDPw41z/hG/El9PILPUN7x/Z3SGR2O6MFhlFZeBznB4zX7V+Mf+Cjn7LfjDwjrnhG4u9ctYtbsbmxeaPT1LxrcxNEXUGTBKhsjNfNfwK+NH/BOv4B3Vtrvh7T9d1fxJbA7dV1GzE1wjMpVjEgkWKLIJGVTdg4LGgD2X/hlH9v3/ovy/wDgXe//ABqj/hlH9v3/AKL8v/gXe/8AxqvUv+Hn/wCzB/z01r/wAH/xyj/h5/8Aswf89Na/8AB/8coA8t/4ZR/b9/6L8v8A4F3v/wAao/4ZR/b9/wCi/L/4F3v/AMar1L/h5/8Aswf89Na/8AB/8co/4ef/ALMH/PTWv/AAf/HKAPLf+GUf2/f+i/L/AOBd7/8AGqP+GUf2/f8Aovy/+Bd7/wDGq9S/4ef/ALMH/PTWv/AAf/HKP+Hn/wCzB/z01r/wAH/xygD8KfH3gH4jXfxq8T+A7gXPjDxhBqt5bXUlnHLczXl1HKyyyqoXe25snJGeea/resZJprK3luEMcrxozqeqsQCQfoa/NDQf+ChX7GPhe91LUvDmk32m3mszvdX09vpMcct1PIxZpJnVwzsSc5Ymun/4ef8A7MH/AD01r/wAH/xygD9CL6+stMtJb/UriO0tYF3SSyuI40Ud2ZiAB7mrVfzTftiftreJf2i9Ufwt4Y87RvAFnJmK0Y7Zr50PyzXW0kcHlIgSq9TlsEfaX/BPn9tb+249P+Afxav/APiYxhYNC1Kdv+PhRwtnMx/5aAcQsfvj5D8wXeAfsPRRRQAV+dX7Q/8AwTy8IfHn4uxfFFPEcvh5L5YV1e1htlla6MKhBJFIXURO0aqjEo44DYzkH9FaKAPnX42eONA/Zk/Z01bW9BhSyt/DGmR2Gj2+dwE+1bezj+YksFYqWzk7QxPc18M/syWnjH9nP9i3VvjLoXhu78U+OfHt0t5BbxRNPKRPJ9nsnmVcu8YLNMduS3m4yMlhm/8ABQTxHqPxl+NPw3/ZJ8KznN3eQXmplOfLkucpGWH/AEwt/NmYf3XU9q/W/RdH07w9o1hoGjwi2sNMt4rW3iXpHDCgRFHsFAFAH5Rfs2fs2+APDPi25+NH7VXjHR9Y+Jd3ctdNpt5qFsy6dck5LXCl8PcIeAuPLixhQSFK/pZ/wt74Tf8AQ66J/wCDK2/+OV8r/tE/sC/Cv9oHxhb+OpL248L6u426hJYxxsL4AAIzq/AlUDG8AlhwwOAR5/Y/8ErP2cba2WK71PxFeSj70jXlumT7BLYAD8/rQB90f8Le+E3/AEOuif8Agytv/jlfn1/wUG/ai0bTfhtb/CL4V63a6trvjom2uZbG5jmFvYEhZELoxVWuGPlgE/c8zOODW9f/APBLv9mu2sbi5judf3xRu4zfRYyoJH/LvX4l/s6+ANC+Kfxt8IfD3xM0y6Xrl6tvcG3cJKEKsfkYhgDkehoA/b/9jH4R/A39m/wgNX13xj4fvfHmtRKdQuhqVqwtYzhhaQN5n3FON7D/AFjDP3QoH25/wt74Tf8AQ66J/wCDK2/+OV8R/wDDrT9mj/n61/8A8Dof/kej/h1p+zR/z9a//wCB0P8A8j0AeXfEP/gqNoHhj43xeHfC2kx698PtOLW2oX0RP2q4m3ANPZksEMcWMKGH73khlG01+ofgTx54R+Jfhax8aeBtTi1fR9RTfDPCcj3VlPzI6nhkYBlPBANfyd+NPAenaT8cNd+GOkTyR2Fl4iutHt5ZcSSLDHeNboz42hmCgE4xk+lf08fs9/s7eBP2b/Bj+EvBJuLh7x1nvru5kLSXM4Xbv2D5IwBwFQDjGSx5IB71RRRQB+Jv7Uv7APx7+K3x717x74UvtP1HSPEUscqTXl00L2irGsflSJtYlU24UpuyuMgHiv0s/Zi+AOk/s3/Cqz+H1jdjUb15pLzULwJ5Ynu5QqsVXJIRVVUXJzhcnkmvoavi79u747w/BH4FammnXPleJPFayaXpiqcOvmLi4nHcCGInDdnZB3oA/CH9rr4sD4xftEeK/GOmTmXTobkWOnMp4NtZDykdCO0jKZR7vX76fsaeB/jp4L+FNovxx8Uy65d38UE1nY3Cb7jTIWXPkzXLfvJXwQGVsiMjarEdPwQ/Zt/Z6+OPxf1h/F/wg023lfwndW832m+MQthcq3mRptnVklI2hmQqQBjd94Z/Ub+xP+CsP/QwaN/3xpn/AMj0AfrE7rGpdyFVQSSTgADua/OnWfgFoX7Wf7Qdt8avEHibSvFXws8MQJZaVp+nztP595A2bhLwbQir5pLEKzeZGIwflzn8+/2rPir+3L8PdBg+Hfxw8XWiWni2CXdbaaLJZnt4mUMJHtokkSOQnb1AcBlORkVgf8E87z9o7TPiY138HtKfVvC8ssUWvxXMnkad5R6MZGztnQZMewM/YqUJFAH9G8UUUESQQII44wFVVGFVRwAAOAAK/k+0Px38UPht8ddWf4T65caJrV1rU9onkyBYpma5ZESaN8xyJuPSRSvev6xa/k1vohB+1LcQD/ln4ydfy1EigD9U9b8P/wDBVTxBo1/oOpXOjtaalby20wU6ajGOZCjgMqgg4JwRyK8y+DXwA/4KK/APQr3w58MrbSNOs9Ruftc/mS2E7vLsWMZeUM20KowucAkkck1+4leA/Ef9pn4S/CP4haL8OviNqbaHda/am6tbydMWOBIY9kkwJ8tsjO51CY6sDxQB8M/Zv+CsP/P1ov5aZ/8AEV5J8dn/AOClOn/CTxLe/EvU7G08LRW3/ExexexinNuzBWVWgUSYbIVgpGVJB4JFftxa3VrfW0V7ZTJcW86h45I2Do6MMhlYZBBHII618vftuf8AJqnxH/7By/8Ao6OgD+ef9lrQvjZrvxm0ZPgE7Q+KbPNx5xbZbw2qsqyvdE5Bg+YK6kHdkKAWIFf1aacNQGn2o1YxG+8pPtBgDCIy7Rv8sNlgu7O3JzjrX8/f/BKL/k4vX/8AsVrz/wBLbKv6EKACiiigAooooAKKKKACiiigAryz40/Frw38D/hrrXxK8Utm10qLMcKnD3Nw/wAsMCdfmkcgZx8oyx4Br1OvwY/4Ko/Ga6174h6R8FNMuP8AiW+GYUvr5FP39QulJjDj/plAQV/66t7UAfPPwT8BeM/25/2mLnVfHN1JJaXEp1PW50JCwWUbBUtoSfu7vlhiGcquW52nP9Luk6Tpug6XZ6Jo1tHZWGnwx29vBEoWOKKJQqIqjgBVAAFfAn/BNX4TQeAP2e7fxhd2wj1fxzO9/K5GH+yRExWqE/3doaVf+upr9C6ACiiigAooooAKK57xF4u8KeELaK98Wa1ZaJbzv5ccl9cx2yO+M7VaVlBOATgc4rkf+F3fBf8A6H7w/wD+DW0/+OUAen0V5h/wu74L/wDQ/eH/APwa2n/xyj/hd3wX/wCh+8P/APg1tP8A45QB6fRXmH/C7vgv/wBD94f/APBraf8Axyj/AIXd8F/+h+8P/wDg1tP/AI5QB6fRXmH/AAu74L/9D94f/wDBraf/AByj/hd3wX/6H7w//wCDW0/+OUAen0V5h/wu74L/APQ/eH//AAa2n/xyj/hd3wX/AOh+8P8A/g1tP/jlAHp9FeXN8cPgsil28f8Ah8KoyT/atp0H/bSvw+/bS/bw1v4qa03gL4O6jcaT4P0udXe+gd4LjUp4WysgZcOkCMAY14LEB252qoB/QlRX5ofsO/txWfxms7b4XfFG5jtfHVrHttrlsJHq0aDqOgW4UDLoOHGWUfeVf0voAKKKKACiiigD5T/bB/Zz039oz4TXmiQxKvifR1kvNFuDgFbkLzAzH/lnOAEbsDtfkqK/F39hf9pfVP2efin/AMIT4xne18H+IrkWupQz5UWF4D5aXOGxsKsAk3T5OTkoor+k6v5uv+CknwlT4c/tDXXiXToRFpfjiBdTQKMKt0D5d0v1LgSn3koA/pEBDAEHIPelr4f/AOCffxjf4tfs8aVa6pcm41vwg50i7Ltl3SEBraQ55O6EqpY9WRq+4KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK/Lnwx/wApk/Df/YLn/wDTHcV+o1flz4Y/5TJ+G/8AsFz/APpjuKAP36ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACvy5uf8AgkH+yDd3Mt1LFr2+Z2dsakMZY5P/ACyr9RqKAP5gP+CjX/BPX4f/ALLfgnQ/ip8KdVv5tIv9SXS7yx1GRJ3ilmilmilhkRIzsxCysrBjkqQcZAyv+CM3/J2eq/8AYq6h/wClVnX6U/8ABZz/AJNO0f8A7GvT/wD0kvK/Nb/gjN/ydnqv/Yq6h/6VWdAH9SlFFFABRRRQB8Gf8FCf2sX/AGVvgm+oeGpYv+E38UyNYaKkgD+UQoM92UPDLAhGAcjzHjDAqSK/Hj/gmB+yZa/tK/EbXPj38ZUk13w/4bvQwjuyZRqutSnz2NwzZ8xIQwkkVj87OgbK71Pg/wDwU7+NE/xe/az8T2NtdGfRfBBGg2SBsor2v/H2wHTLXJkBPUqq56DH9C3/AATo+HMHw1/Y5+HNgsQjutcsf7buG7yPqjG4jY+4haNB7KKAPtsAKAqjAHAApaKKAP4Q/ixoXiXwz8TvFeg+MraS01uy1S8jvI5VKMJvNYscHsx5B6EEEcGv6uf+CX/hnxZ4V/Yx8FWXi6Ga1lupL+8tYJ1KvHZ3N1JJF8p5CyZMq56hwe9fbOreBPBGvalFrOueHtO1HUIABHcXNpDNMgHTbI6lh+BrqqACvhr/AIKFftKXf7M/7OuqeIfDlwsHizxDIuk6M3Vop51LS3AH/TCJXZSQR5mwHg4P3LX84H/BbrxpdXnxV+HPw73YttJ0W41XAPBfUbloMkews+PqaAPh39gb9nyL9p79pjR/DPidGvPD+lrJrWt72Yme2t3X90zdT58zxxscg7WYg5Ff2NWtrbWNtDZWUKW9vboscccahEREGFVVHAAAwAOAK/Bn/gh74St00n4q+O5UVp5p9M02JsfMiRrNNKAfRy8ef90V+9tABXxt+3V+zXpf7TH7P+u+Go7NZvFOiwy6joMwGJEvoULeSG/uXCjymB45VsZRSPsmigD+QT/gnN+1Jefs2/HzTrXW714vBPjCSPTdYiZj5UTSNtt7wr0DQOfmbr5TSAckV/X3X8QX7VfguD4eftKfE7wdZxCC007xDqK20YGAltJO0kCj6Rstf1zfscfFC6+Mn7MHw5+IeoSebf6hpUcF3ITkyXdizWlw593lhZsds0AfS9FFFABRRRQAUUUUAFFFFAH5k/8ABXDxh/wjH7GmsaQr7H8VatpmmDnBOyU3rAfVbU59q/Pr/gm5/wAE4/Cnxa8LQfHv4+Wcl7oF5I40XRi7wpdrCxVrq5ZCrmIupWOMEB8FmyhUN+g//BTH9mf40/tQeC/A/hH4TQWk9tpepzXuoi5uVtyuY1hhdA/D7VeUsMg9MZzX6HeC/CWjeAvB+h+B/DsQg0vw/ZW9haoP4YbaNYkH12qM0Aebab+zN+zlpFoljpvwt8LW8MYACrotl27k+Vkn1JJJ71f/AOGevgF/0TTwz/4JrL/41XsFFAHzx41+Ff7MHw98Iaz468WfD/wvY6NoNpNe3czaNZfJDAhdiB5XJwMADknAHJr8Af2Kfg3aftt/tj+IfjTrnhy00bwB4ZvU1WTTbW3jgs94O3TbARxqsZwsYeY7cOI23cyZr6t/4LF/tI3EGm6J+yr4KmaXUNcaHUdcSDLOYQ/+hWmFzkyyjzWXr8kfUPX6SfsTfs52f7Mf7Pvh/wAAyxKNfu1/tHW5VwTJqNyqmRdw6rCoWFT3VAepNAH1pRRRQB/L7/wV9/aF1fx58dU+B2mXbL4b8ARxGaFGPlz6pdRCWSVwOCYonWJc52nzMH5iK/Yb/gml8IvCvwu/ZM8G6nokEZ1TxpaprWp3YA8yeW5y0SM3J2wxFY1XoCGONzNn+af9uB7+T9rz4uNqS7Zh4jvwo/6ZLIREfxjCmv20/wCCN37QOuePPhh4g+B3iPMx+H5hn024JJJsb55CYG/64yqShz91woACCgD9oKKKKAP5fv8AgsD+z7o3ww+NWjfFjwtarZ6d8R4biS8ijGEGqWbJ58gA4Xzkljcj+JxI3UmvqX/giv8AHTUtY0Lxh+z5rdyZotCC61pCsxLR288nlXkYB6IsrRuAP4pXPeu1/wCC20Fq3wO8AXLgfaY/EbIh77Hs5i+PbKrn8K+Ev+CMyXzftZao1p/qk8K6gbj/AK5/arQD/wAfKUAf1KUUUUAfzr/tp6dY+Nv+Cr/wq8L6pbx31lHP4XguLeZBJFLCLxriSORGBVkZWIZSMEEg1+5H/DPXwC/6Jp4Z/wDBNZf/ABqvxH+J6/8ACQ/8FrvD+m/e/s260o49PI0dbv8Armv6GKAPH/8Ahnr4Bf8ARNPDP/gmsv8A41R/wz18Av8Aomnhn/wTWX/xqvYKKAPH/wDhnr4Bf9E08M/+Cay/+NV6zbW1tZW0VnZxJBbwIscccahURFGFVVHAAAwAOAKnooAKKKKACiiigAooooAKKKKAEJCgsxwBySa/j1/4KEftU6l+018ddSOmXpl8EeE5ptP0KFD+6kjRts157tcsu4HgiMIuMgk/0Yf8FEfi6/wb/ZI8c63Y3BttV1uBdEsGVtr+dqJ8pyjDkMkHmyAjkFeK/lA/Z7+Gw+MPxx8C/DGQMbfxHrFnaXJT7y2rSg3Dj3WIO34UAf0pf8Esf2WdP+CnwOs/ij4isUHjT4hQJevK65ltdLkAe1tlJ+7vXE0gGCWZVbPlrj9SKgtbW2sbWGys4lgt7dFjjjQBVREGFVQOAABgCp6APyZ/4K0fsz6b8UvgbN8Z9BsU/wCEs+Hq+fLMi4kuNHJP2iJiOohLeeufuhZAOXNfl7/wSq/ap1D4NfGu1+EfiS/KeCviDOtt5cjfu7XVnAS2nXP3fNIEEmODuRm+4K/qM8T+HdL8X+G9W8J65F5+m61aT2V1H/fguY2ikX8VYiv4R/Fegal4E8aax4XuXaLUPD2oXFm7rlGWa0laMkY5BDL+FAH96lFeHfs0/FSP42fAPwJ8UhIJJ9f0q3luivQXkY8q6Uf7s6Ov4V7jQB/P5/wWg/aF1e3vfDX7Nnh67aCxntk1vWhGxHnlpGSzgfH8KGN5WU5BJjbqor6I/wCCOXwi8K+Gf2d7r4uRQRzeI/GOoXMMtyQDJDZ2L+VHbqf4VMivI2Mbty5ztXH5Tf8ABWd79/21fE63i4hTT9JFsfWL7IhJ/wC/hcV9a/8ABF/9oHXIPE/iH9mzVc3Gj3dtNrumuSSba4iaKO4i/wByVWVx0Csh7uaAP6H6KKKAP5/f+C0X7PujWMPhf9pHw/arb3l7cjRNaKDHnsYmks5mA/iVYpI2Y8keWv8ACK8m/wCCM/x01Lw18Yda+A2o3JbRvGNpLf2cTMf3epWKb2KDoPNtg+/ufKT0r9M/+Cs8FrL+xV4nkuADJDqGkvDnqHN2inHvsZvwr8E/+CaaX0n7b/wvGn/60XN+W/65DTrky/8Ajm6gD+xSiiigD+b/AP4J0+DfCXxT/br+Nup+NNEsfENgsGtzpDqFtFdwrNcaxCyyBJVZQ4UMA2M4JHc1+8H/AAz18Av+iaeGf/BNZf8AxqvxI/4IxL/bfxj+Mviz72+1tRu/6+7qaX9fLr+hegDx/wD4Z6+AX/RNPDP/AIJrL/41R/wz18Av+iaeGf8AwTWX/wAar2CigDzDSPgl8GPD+pW+taD4B0DTdQs3EkFzbaVaQzROOjJIkYZT7g5r0+iigAooooAKKKKACiiigAooooAK/lz/AOCsf7VWo/FX4wT/AAM8MX3/ABR/gGby7lYz8l3rCgrO7+otsmFQRwwkPO4Y/oo/aG+KMHwW+B3jf4pTMqyeHdKubi3DdHuyuy2Q5/vzMi/jX8Qdjaaz4x8SW9jEz32ra5dpGrOxZ5ri5kABZjklmduT1JNAH9DP/BHn9lnT9E8HXX7T3i+xSXV9deWz8PmRcm2somaK4uEB+688gaMHqI0ODtkOf3Hrh/hn4D0f4XfDzw18OPD67dO8NafbafCcYLLbRiPe3+05G5j3JJruKAPhj/goN+zPpv7SP7Pet2llYpN4w8Lwy6noc4X9750I3y2ynrtuY1KbSdu/Yx+6K/nC/YM/ak1X9l/466XrF3eNH4N8QyxWHiCAkmM2rthLnb/ftmbzARzt3oOHNf2SV/EV+1p8Obf4S/tK/Ef4f2MXkWWl61dG0jxjZaXDefbr+EUiCgD+3GKWKeJJ4HEkcgDKynKsp5BBHBBFSV8J/wDBNv4tH4ufsheCr67n8/UvDUb6BeEncQ+nYSHcepLWxhY55y34192UAfjl/wAFc/2qtR+Ffw80/wCA/ge++y+IPHcMkmpyxnEtvo4JjKAjlTdOGTP9xJF/iBr8xv8Aglz+y1YftB/HCXxZ4zsUvfBvgBYry7hlG6K7vpSwtLd1PDJlGlccghAjDD182ftpfF1/jf8AtPeP/HkdwbnTn1GSy087sr9hsf8ARoCg6AOqeYQP4mJ6k1/Rr/wSm+Flr8Ov2QtA1x4fL1Pxxc3Os3TEfNsZzBbAHrt8iJHA7F29aAP0jAAGBwBXE/En4deEfi14F1r4c+OrBNS0PXrdra5hcdm5V0P8LowDow5VgGHIrt6KAP4ivENj8S/2N/2kdQ0/Rr9rDxX8O9Wdbe6QYWZE5jcp3iuIGBZDwyOVPU1/Yn8APjHoHx++D3hf4t+HCFt/EFosssIO4290mUuIGPrFKrJnvjPQiv56/wDgs/8ADm38NftEeHfiFZReWnjLRUE7Y+/d6c5hZs/9cGgX8K+i/wDgiT8WjcaT8Qfgffz5azkh1+wjJydkoFtd4HYKy2544y5PXqAfvXSEhQWY4A5JNLXxJ/wUR+Lr/Bv9kjxzrdjcG21XW4F0SwZW2v52onynKMOQyQebICOQV4oA/nP/AOChH7VOpftNfHXUjpl6ZfBHhOabT9ChQ/upI0bbNee7XLLuB4IjCLjIJP7h/wDBLH9lnT/gp8DrP4o+IrFB40+IUCXryuuZbXS5AHtbZSfu71xNIBglmVWz5a4/mt/Z7+Gw+MPxx8C/DGQMbfxHrFnaXJT7y2rSg3Dj3WIO34V/cna2ttY2sNlZxLBb26LHHGgCqiIMKqgcAADAFAE9fkz/AMFaP2Z9N+KXwNm+M+g2Kf8ACWfD1fPlmRcSXGjkn7RExHUQlvPXP3QsgHLmv1mrD8T+HdL8X+G9W8J65F5+m61aT2V1H/fguY2ikX8VYigD+XP/AIJVftU6h8GvjXa/CPxJflPBXxBnW28uRv3drqzgJbTrn7vmkCCTHB3IzfcFf1UV/BX4r0DUvAnjTWPC9y7Rah4e1C4s3dcoyzWkrRkjHIIZfwr+2P8AZp+Kkfxs+AfgT4pCQST6/pVvLdFegvIx5V0o/wB2dHX8KAPcaKKKACiiigAooooAKKKKAMXxH4h0bwj4e1PxV4iuksdK0a2mvLueThIoLdDJI7eyqpNfxV/tQ/tCeL/2pfjTq3xG1wyGG5l+y6RYjLC0sEci3gRRnLHO5yPvSMx7gD+hP/gr/wDF1/AP7MMXgPTrgw6j8QdRismCttY2Np/pNyQRzgssUbDushB4Nfhx/wAE7fhZa/Fv9r3wDoepw+dpmkXL6zdqRldmmoZ4gw6FXnWNGB6hjQB/St+wt+y9pX7LnwL0nw3cWkaeL9ajjvvEFyAC8l44yIN/eO2VvLQD5chnAy5z9mUUUAfgz/wWU/Zn02bQtJ/ad8K2KQ31pNHpniFo1wZ4ZcLZ3L4wC0bjyWY5Yh4x0SvPf+CPH7VOoaX4nuv2XvGV+ZNK1VJr3w75rZ8i7jzJc2qE9FmTdKq9A6PjmQ1+2H7UPw5t/i1+zv8AEP4ezxec+raLdi3XGcXcKGa2bHfbOiN+FfxWfDzxtq3w28e+HfiDoLFdR8N6ha6jBzjMlrKsgUn0bbg+oJFAH95dFYPhXxJpXjLwxo/i/QpfO03XLO3vrWT+/BcxrLG34qwNb1AH53f8FKf2pr39mn4ENb+ELwWvjXxrI+naW6n95bRKubq7UesSMqof4ZJEbBAIr+dz9hn9nGb9qT9ojR/BurK8vh3T92ra7JuILWNu67o9w53TyMkWQdwDFh90163/AMFVfi6/xO/a313RLW4M2leBIIdEt1DfIJox5t2dvQMJ5GjY9SI1z0Ffpr/wRY+FlroXwX8W/Fu6hxqHirVRYQuR/wAuWmoCCp7bpppA2OuxfTgA/ZXS9L03Q9MtNF0a1isbCwiSC3t4UEcUMMShUREXAVVUAADgCm6xo+leIdJvdB120iv9O1GGS3ubedBJFNDKpV43VshlZSQQeorRooA/i+/a5+C+sfskftP614U8M3E2n22nXUWseHruKRlmjs5n822ZJM7t8DqYi3UvGTX9Qv7D/wC0hF+1B+z7ofj69kjPiOyzpuuRIAoXULcDc4UcKsyFZVA4G/aPumvzE/4Le/Dm3Nr8NPi5bRYnD3eh3UmPvIQLq1XP+yRcH/gVeGf8EYfi0fC/x28R/Ca9n22fjfTDPboTw19pZMqgD3t3nJI/uj04AP6aqKKKACiiigAooooAKKKKACiiigD8NP8AgoR/ykK/ZX/7Cmif+nyOv3Lr8NP+ChH/ACkK/ZX/AOwpon/p8jr9y6ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA+DPjh/wTk/Zy/aC+JOp/FX4gx6u2uasluk5tb0Qw4toUgTanltj5EGeeTzXw9+1F/wSU+B/hD4KeLPiD8I9U1fTtd8K6bc6oIL25jurW5iso2mliI8pXV2RSEYPgNjIIOR+6leJ/tLf8m4/FX/ALFTXP8A0gmoA/jY/Zt/5OJ+Fv8A2NWif+l0Nf3J1/DZ+zb/AMnE/C3/ALGrRP8A0uhr+5OgAooooAKKKKACuE+J3xH8KfCLwBrvxL8b3Qs9E8PWr3Vy/BYheFRAcbpJGIRF/iZgB1ru6/no/wCCkfxu8V/tO/Hbw7+xB8D3N9HZ6jHHqZiY+Xcarg5jkZc/uLGPc8p6B9+4ZiBoA/Lv4/eLPir+0jqniz9rHxbbNHod3rltokOWJjt3mt557azgyMMILeDMhGPmdWYZkzX29/wRU/5Om8Vf9iZff+nHTq+k/wDgpV8EPCn7O37Afw0+E3hBA1ro/iuy8+4KhZLu7k07UGnuJP8AakfJxk7Vwo+VRXzZ/wAEVP8Ak6bxV/2Jl9/6cdOoA/p9ooooAK/lz/4Kx/tVaj8VfjBP8DPDF9/xR/gGby7lYz8l3rCgrO7+otsmFQRwwkPO4Y/oo/aG+KMHwW+B3jf4pTMqyeHdKubi3DdHuyuy2Q5/vzMi/jX8Qdjaaz4x8SW9jEz32ra5dpGrOxZ5ri5kABZjklmduT1JNAH9DP8AwR5/ZZ0/RPB11+094vsUl1fXXls/D5kXJtrKJmiuLhAfuvPIGjB6iNDg7ZDn9x64f4Z+A9H+F3w88NfDjw+u3TvDWn22nwnGCy20Yj3t/tORuY9ySa7igD4Y/wCCg37M+m/tI/s963aWVik3jDwvDLqehzhf3vnQjfLbKeu25jUptJ279jH7or+cL9gz9qTVf2X/AI66XrF3eNH4N8QyxWHiCAkmM2rthLnb/ftmbzARzt3oOHNf2SV/EV+1p8Obf4S/tK/Ef4f2MXkWWl61dG0jxjZaXDefbr+EUiCgD+3GKWKeJJ4HEkcgDKynKsp5BBHBBFSV8J/8E2/i0fi5+yF4Kvrufz9S8NRvoF4SdxD6dhIdx6ktbGFjnnLfjX3ZQAUUUUAFFFFABRRRQAV+W/8AwVi/aF1b4M/s8w+DPC101nrvxHuJdN81CQ8enRJuvWRh0Zg8cX+7IxGCAa/Uiv56f+C48V8PEHwhmck2ZtdaWMfwiUPaGT8SpT8qAOH/AOCOn7NWjePPG2uftBeL7Rbyz8FSx2ejxyLuj/tOVPMknIPBa3iKbM5w0gcYZFNf0nV+K3/BFDx/oN/8FfGvwySVU1vR9dOqPFkBntb62hhRwOrbXt3ViOmUz1FftTQAV5N8cvg34P8Aj78Lte+Ffje3Eun61AyJLtDSWtwBmG4iJ6SRPhl9eQcqSD6zRQB/Fd8EfiZ43/Yv/agg1idmhvPCGrT6RrlqhJS5tYpjBewkcbuFLRkjh1RsZAr+0mzu7XULSC/spVnt7lFkjkQ5V0cblYHuCDkV/GJ+3pPYXH7YvxZk00ARDXJ0bb081Aqy/j5gbPvX9ePwOiv4Pgp8P4NVBF7H4e0pZwRg+aLSIPkH/azQB6lX8u//AAWN+LOteK/2kLP4WfaGXRfA+m25W3DfKb3UEFxLKw/vGIxIM9AvH3jX9RFfzi/8FUv2OPjV4h+PFx8cPht4WvvFuieJbO0S7GlW73dza3dnCLciSCINIUaKNGEgXaDlTggbgD78/wCCROr+Gb/9jnS9O0Rov7Q0zVtSi1RUwH+0yTebG0g6km3aIA+gA7YH6fV+QP8AwSG/Z9+KfwZ+HfjjxJ8UNEu/DUvi69shZ2F/G0F0IbBJQ0zwPh4/MaYqA4DEJnG0qT+v1AHO+LfCfh3x34Y1TwZ4tsY9T0bWreS0u7aUZSWGVdrKfTg8Ecg4IIIr+Jf4/wDwu1b9nb49+LPhlHdSpceEtTYWV0rbJjAds9nPuXG12haN+OhPFf3FV/Jf/wAFalsh+2n4jNqAJTpulGfHeT7KoGf+AbKAP6G/2Hvj1dftHfs1+FPiLrLq+vIkmn6ttGM31k3lvIQOAZl2TYHA347V9a1+SX/BGK0vbb9k/WZrrd5V14sv5IM9PLFpZRnHtvRvxzX620AcN8T/ABangH4aeLPHUhCp4d0i/wBRJPQC0t3m5/75r+Tr9gb9jG+/a/8AiRezeJLmew8EeGvLm1e7i4muJJiTHawuwIEkm1md8HYozjcy5/p5/av8CeOfif8As6ePPh38NlhfxD4j05rG3W4l8mIrO6rMGfBxmEvjjBOAcda8v/YC/Z11f9mb9nLSvAviy1itfFN9d3eo6uIZFlQ3E0myICRCQ223jiXg4yDQB6J4M/Y9/Zb8A6TDo3hz4W+HlihUKJbrT4b25cAY+e4uVkmc/wC85rsf+GevgF/0TTwz/wCCay/+NV7BRQB4/wD8M9fAL/omnhn/AME1l/8AGq/nQ/at0zw3+1v+25of7N37PXh7StC0XQbl9JkvNLsILdJJlO/U7yUwIm+O3WMogJIPlkof3lftb/wUE/aXX9mf9nnVtc0i5EPi3xJu0rRAD86XEynzLkDri3j3ODgjfsU/er42/wCCO37No8KfD7VP2kPFFuTrXjMvZaUZB88WmQyfvZRnnNxOnf8AhiUg4c0Afrr8N/h94X+FPgPQvhx4LtRZ6J4etI7O2j6tsjHLOcDc7tlnbqzEk8mu2oooAKKKKACiiigAooooAKKK8C/al+LifAr9nzx38UxIIrvRdNl+xFsYN9PiC0BB6gzyJn2zQB+Df/BWH9sXV/iB8QLz9mvwJf8Al+EvC0qJrDQN/wAhDVIzlonI6xWrYXZ0MwYnOxCP1U/4J5/sb6B+zH8KbHxFrlisnxG8V2sU+rXMi5ktI5MSJYRZHyLFx5uPvygkkqqBf5u/2NfAsnxn/a3+HPhnWi2oLqOtpf33mku08VluvrjzGPJ3pEwYnk5Pev7UaACvzB/4K66F4l1v9j69l8PW0lzDpms6feagI1LFLNBKhcgfwrK8ZY9hyeOa/T6mSRxzRtDModHBVlYZBB4IIPUGgD+IH9lrwz4s8XftGfDfR/BMM0urDX9NnjaFSWhS3uElknPosSKXYngAV/cDXMaF4I8GeFp5rrwzoGn6RNc5817O1it2kycncY1Unkd66egAr5R/bn1D+zP2P/i3c5xv8P3kP/f9fK/9nr6ur4Z/4KU6h/Zn7EPxRuc432tjD/3/ANQtov8A2agD47/4JFfBz4ZeLP2YNW1/xt4Q0jX7258T3wjn1DT7e7lWGO1tFCK8qMwQMGIAOMknua/Ur/hnr4Bf9E08M/8Agmsv/jVfF3/BJHTfsP7F+g3WMf2hqmqz/XbcGH/2nX6Y0AeP/wDDPXwC/wCiaeGf/BNZf/GqP+GevgF/0TTwz/4JrL/41XsFFAHEeFfhn8OPAtzPeeCfCmk+Hri5QRyyadYwWjyIDkKzQopYA84PGa7eiigD8yf+CuHjD/hGP2NNY0hX2P4q1bTNMHOCdkpvWA+q2pz7V+fX/BNz/gnH4U+LXhaD49/HyzkvdAvJHGi6MXeFLtYWKtdXLIVcxF1KxxggPgs2UKhv0H/4KY/sz/Gn9qDwX4H8I/CaC0nttL1Oa91EXNytuVzGsMLoH4farylhkHpjOa/Q7wX4S0bwF4P0PwP4diEGl+H7K3sLVB/DDbRrEg+u1RmgDzbTf2Zv2ctItEsdN+Fvha3hjAAVdFsu3cnysk+pJJPer/8Awz18Av8Aomnhn/wTWX/xqvYKKAPnjxr8K/2YPh74Q1nx14s+H/hex0bQbSa9u5m0ay+SGBC7EDyuTgYAHJOAOTX4A/sU/Bu0/bb/AGx/EPxp1zw5aaN4A8M3qarJptrbxwWe8HbptgI41WM4WMPMduHEbbuZM19W/wDBYv8AaRuINN0T9lXwVM0uoa40Oo64kGWcwh/9CtMLnJllHmsvX5I+oev0k/Ym/Zzs/wBmP9n3w/4BliUa/dr/AGjrcq4Jk1G5VTIu4dVhULCp7qgPUmgD60ooooAKKKKACiiigAooooAKKK8b/aG+KMHwW+B3jf4pTMqyeHdKubi3DdHuyuy2Q5/vzMi/jQB/Ov8A8FY/2qtR+Kvxgn+Bnhi+/wCKP8AzeXcrGfku9YUFZ3f1FtkwqCOGEh53DH2L/wAEef2WdP0TwddftPeL7FJdX115bPw+ZFybayiZori4QH7rzyBoweojQ4O2Q5/nmsbTWfGPiS3sYme+1bXLtI1Z2LPNcXMgALMcksztyepJr+6j4Z+A9H+F3w88NfDjw+u3TvDWn22nwnGCy20Yj3t/tORuY9ySaAO4r4Y/4KDfsz6b+0j+z3rdpZWKTeMPC8Mup6HOF/e+dCN8tsp67bmNSm0nbv2MfuivueigD+Nv9gz9qTVf2X/jrpesXd40fg3xDLFYeIICSYzau2Eudv8AftmbzARzt3oOHNf2QRSxTxJPA4kjkAZWU5VlPIII4IIr+I79rT4c2/wl/aV+I/w/sYvIstL1q6NpHjGy0uG8+3X8IpEFf1E/8E2/i0fi5+yF4Kvrufz9S8NRvoF4SdxD6dhIdx6ktbGFjnnLfjQB92V+OX/BXP8Aaq1H4V/DzT/gP4HvvsviDx3DJJqcsZxLb6OCYygI5U3Thkz/AHEkX+IGv2Nr+Kb9tL4uv8b/ANp7x/48juDc6c+oyWWnndlfsNj/AKNAUHQB1TzCB/ExPUmgD6T/AOCXP7LVh+0H8cJfFnjOxS98G+AFivLuGUboru+lLC0t3U8MmUaVxyCECMMPX9YoAAwOAK/Nz/glN8LLX4dfshaBrjw+Xqfji5udZumI+bYzmC2APXb5ESOB2Lt61+klAHEfEn4deEfi14F1r4c+OrBNS0PXrdra5hcdm5V0P8LowDow5VgGHIr+MHxDY/Ev9jf9pHUNP0a/aw8V/DvVnW3ukGFmROY3Kd4riBgWQ8MjlT1Nf261/MT/AMFn/hzb+Gv2iPDvxCsovLTxloqCdsffu9Ocws2f+uDQL+FAH9CnwA+MegfH74PeF/i34cIW38QWiyywg7jb3SZS4gY+sUqsme+M9CK9ir8FP+CJPxaNxpPxB+B9/PlrOSHX7CMnJ2SgW13gdgrLbnjjLk9ev710AISFBZjgDkk1/Hr/AMFCP2qdS/aa+OupHTL0y+CPCc02n6FCh/dSRo22a892uWXcDwRGEXGQSf6MP+CiPxdf4N/skeOdbsbg22q63AuiWDK21/O1E+U5RhyGSDzZARyCvFfygfs9/DYfGH44+BfhjIGNv4j1iztLkp95bVpQbhx7rEHb8KAP6Uv+CWP7LOn/AAU+B1n8UfEVig8afEKBL15XXMtrpcgD2tspP3d64mkAwSzKrZ8tcfqRUFra21jaw2VnEsFvbosccaAKqIgwqqBwAAMAVPQB+TP/AAVo/Zn034pfA2b4z6DYp/wlnw9Xz5ZkXElxo5J+0RMR1EJbz1z90LIBy5r8vf8AglV+1TqHwa+Ndr8I/El+U8FfEGdbby5G/d2urOAltOufu+aQIJMcHcjN9wV/UZ4n8O6X4v8ADereE9ci8/TdatJ7K6j/AL8FzG0Ui/irEV/CP4r0DUvAnjTWPC9y7Rah4e1C4s3dcoyzWkrRkjHIIZfwoA/vUorw79mn4qR/Gz4B+BPikJBJPr+lW8t0V6C8jHlXSj/dnR1/CvcaACiiigAooooAKKKKACvLPjb8WPD3wN+E/if4seKGH2Dw3ZSXPl7tpnm+7DApP8U0rLGvuwr1Ovwl/wCC2Xxdew8L+A/gfp1wVfVp5tb1CNWwTDbDyLUMB1V5HlbB43Rg9QMAH4keI/EXxQ/ar+OZ1TVZTrHjPx9qkNvEmSsYluHWKCFAc7IYgVRR0VF5PBNf2Q/s6fAnwj+zj8I9C+FfhCFBHp0KteXKrte9vnUefcyHqWkYcAn5VCoPlUAfzmf8EfvhZa+Ov2pJfGmpQ+ba+A9Knv4iRlfttyRawgj2SSV19GQH6f1R0AFfzNf8Fgv2Z9N+HHxI0j47+D7FLPR/HTSQamkS7UTWIgZDLgYANzFljgcvHIx5av6Za+B/+Cmfw5t/iN+xt45VovMvPDKQa5atjOx7GQGZv/AZpl/GgD5O/wCCQP7VOofEHwXqP7O/ji/NzrHg6BbnRZJWzJLpORG8GTy32VyoXPPluqj5Ur9qa/iW/ZA+LR+CP7Svw/8AiNLP9nsbHU4oL9s4AsbzNtck9jtikZgD3APvX9tNABX45f8ABXP9qrUfhX8PNP8AgP4HvvsviDx3DJJqcsZxLb6OCYygI5U3Thkz/cSRf4ga/Y2v4pv20vi6/wAb/wBp7x/48juDc6c+oyWWnndlfsNj/o0BQdAHVPMIH8TE9SaAPpP/AIJc/stWH7Qfxwl8WeM7FL3wb4AWK8u4ZRuiu76UsLS3dTwyZRpXHIIQIww9f1igADA4Ar83P+CU3wstfh1+yFoGuPD5ep+OLm51m6Yj5tjOYLYA9dvkRI4HYu3rX6SUAcR8Sfh14R+LXgXWvhz46sE1LQ9et2trmFx2blXQ/wALowDow5VgGHIr+MHxDY/Ev9jf9pHUNP0a/aw8V/DvVnW3ukGFmROY3Kd4riBgWQ8MjlT1Nf261/MT/wAFn/hzb+Gv2iPDvxCsovLTxloqCdsffu9Ocws2f+uDQL+FAH9CnwA+MegfH74PeF/i34cIW38QWiyywg7jb3SZS4gY+sUqsme+M9CK9ir8FP8AgiT8WjcaT8Qfgffz5azkh1+wjJydkoFtd4HYKy2544y5PXr+9dABRRRQAUUUUAFFFFABRRRQAV+Pf/Baz/k2Dwn/ANjjaf8Apvv6/YSvx7/4LWf8mweE/wDscbT/ANN9/QB+n3we/wCSSeCP+wHpv/pNHXo1ec/B7/kkngj/ALAem/8ApNHXo1ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAfx+/8ABSD9oXV/jv8AtMeI7Nbtn8M+CLmfRNKgDExAWz+XczgdC08ylt2MlAi8hRX9Q37MHwi8K/A/4E+D/h94TgjjhtdPgmuZkAzd3k8avcXDn+JpHJI5OF2qPlUAfxUeOHv5fGviCTVV23r6hdmcekplbeP++s1/Vn/wS5/aB1z46/s021l4rzJrPgO5GhSXBJJureGGN7aVj/fEbCN+SSU3nlqAP0gpGVWUqwyDwQehFLRQB/H/AP8ABSj9n7SP2ff2ndV0zwrbLZ+HPFVtHrmnwIMJbi5d454V7BUnjkKKPuoyCv2k/wCCRHx01L4o/s63fw/8Q3JudT+G92lhE7MWc6bcqZLQMT/cKyxL2CRqO1fGn/BcOC1Xxt8KLlAPtMmn6ojnvsSaApn2yzY/GtL/AIIbpfHXvjBJH/x5i20QSf8AXUveeX+gegD+hWkJCgsxwBySaWviT/goj8XX+Df7JHjnW7G4NtqutwLolgyttfztRPlOUYchkg82QEcgrxQB/Of/AMFCP2qdS/aa+OupHTL0y+CPCc02n6FCh/dSRo22a892uWXcDwRGEXGQSf3D/wCCWP7LOn/BT4HWfxR8RWKDxp8QoEvXldcy2ulyAPa2yk/d3riaQDBLMqtny1x/Nb+z38Nh8Yfjj4F+GMgY2/iPWLO0uSn3ltWlBuHHusQdvwr+5O1tbaxtYbKziWC3t0WOONAFVEQYVVA4AAGAKAJ6/Jn/AIK0fsz6b8UvgbN8Z9BsU/4Sz4er58syLiS40ck/aImI6iEt565+6FkA5c1+s1Yfifw7pfi/w3q3hPXIvP03WrSeyuo/78FzG0Ui/irEUAfy5/8ABKr9qnUPg18a7X4R+JL8p4K+IM623lyN+7tdWcBLadc/d80gQSY4O5Gb7gr+qiv4K/Fegal4E8aax4XuXaLUPD2oXFm7rlGWa0laMkY5BDL+Ff2x/s0/FSP42fAPwJ8UhIJJ9f0q3luivQXkY8q6Uf7s6Ov4UAe40UUUAFFFFABRRRQAUUUUAFfzyf8ABaktrPxT+D3hdDlns73AHrdXMMf/ALTr+huv55/+Co6/27+3V8DPCf3vNtdHG3/r71iaL9dlAH7bj9nn4AgAD4aeGeP+oNZf/GqX/hnr4Bf9E08M/wDgmsv/AI1XsFFAHj//AAz18Av+iaeGf/BNZf8Axqj/AIZ6+AX/AETTwz/4JrL/AONV7BRQBmaNouj+HdMt9E8P2EGmadaLshtrWJIYYlznakaAKoyegFadFFAHOeMfC2l+OfCOt+CtcDnTfEFjc6fdeU2yTyLuJoZNrYOG2scHHBr81f8Ahz3+x9/zy1//AMGQ/wDjVfqbRQB/JV/wUZ/Yl8L/ALIfibwrfeANVu9R8NeL47sRRX7JJc2txZGLzFMkaRq6OsylPlBGGBJ4J+wf+CG//Id+MH/Xton/AKHeV1P/AAXJ/wCQN8Hf+vjXf/QLKuW/4Ib/APId+MH/AF7aJ/6HeUAf0KUUUUAFfyV/8FXfiZe+P/2wde0HzS+n+CbSz0i1UH5d3lC5nbHQN50zIT1IRfQAf1qV/Ft+1VMdT/bW+Jf2ro3jO/hO7+5HetGPw2igD+wn4T+CbL4bfC/wl8PtPiWKDw5pVlYKqjAzbwrGSfdiCSepJJPNfz//APBbvwpb2XxV+G/jWOMLLrGjXdg7D+IafcCRc+4+1Gv6QK/An/guZGhtfgvKfvh/EKj6EaeT/KgD9NP2BfiZefFn9kT4b+KtTlM2oQaedMuXY7naTTJXs97nu0ixK5Pfdmk/bx+O/wDwz1+zJ4s8Z2Nx9n13UYv7I0gg4f7dfBkV0/2oYw83/bOvnP8A4I9XE037H6RyZ2weINSRP90rC3H4sa+Lf+CmfizXP2mP2tvh9+x94DnLppM8EV0V+ZE1HU9rySOB1W1tArk9V3SCgD6Y/wCCOfwG/wCEG+Ceq/GvWrfZqvxAuPLtCw+ZNLsWZEIzyPNn8xj2ZVjPpX7E1zPgvwjofgDwhongbwzB9m0nw/ZW9haR/wB2C2jEaAnucKMnuea6agAooooAKKKKACiiigAooooAKKKKAPw7/wCC33/JNPhj/wBhe+/9J1r9vrf/AI94v91f5V+IP/Bb7/kmnwx/7C99/wCk61+31v8A8e8X+6v8qAJqKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACvgz/goT+1i/7K3wTfUPDUsX/Cb+KZGsNFSQB/KIUGe7KHhlgQjAOR5jxhgVJFfedfyG/wDBTv40T/F79rPxPY210Z9F8EEaDZIGyiva/wDH2wHTLXJkBPUqq56DAB7x/wAEwP2TLX9pX4ja58e/jKkmu+H/AA3ehhHdkyjVdalPnsbhmz5iQhhJIrH52dA2V3qf6eQAoCqMAcACviT/AIJ0fDmD4a/sc/DmwWIR3WuWP9t3Dd5H1RjcRsfcQtGg9lFfblABX8IfxY0LxL4Z+J3ivQfGVtJaa3ZapeR3kcqlGE3msWOD2Y8g9CCCODX93lcrq3gTwRr2pRazrnh7TtR1CAAR3FzaQzTIB02yOpYfgaAPib/gl/4Z8WeFf2MfBVl4uhmtZbqS/vLWCdSrx2dzdSSRfKeQsmTKueocHvX6B0UUAFfzl+G/D2g/Er/gs9r9h4n0221rS4LzUfPtbyFLi3kFrozQJvjkDK21wpGRwQD1Ff0aV/PP+yUv/CQ/8Fdvi1qX3v7MuvFBz6eTdLaf+zYoA/bj/hnr4Bf9E08M/wDgmsv/AI1R/wAM9fAL/omnhn/wTWX/AMar2CigDx//AIZ6+AX/AETTwz/4JrL/AONVLB8AfgRazx3Vr8OPDcM0LB0dNHs1ZWU5DKRFkEHkEV63RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRWbrOsaX4e0i+1/XLqOx07TYJLm5uJWCxwwwqXkkdjwFVQST2AoA+Nv29f2qbP9lb4H3uvabMh8Y+Id+n6DA2CRcMv7y5ZT1jtlO85GC5RD9/NfyP/EDwR428Kf8ACP6945jkS58c6aPEFs87Fp5rW5uZ4Vnk3c5leB5ATncjK+fmr9WdAs/EH/BVL9uCfXNSjnh+E/gvaTGdyCPSYZD5UPH3bjUJAWfncqbsEiJa5b/gs3ZWem/tOeEtO0+BLa1tfBWnRQxRKEjjjS/1BVRVHAVQAABwBQB+hv8AwRV/5NY8U/8AY533/pu06v1+r8gf+CKv/JrHin/sc77/ANN2nV+v1ABXzX+1r+0Ro/7MHwN174p36x3GoQqLXSrSQkC61GcEQRnBBKrgySYIPlo2OcV9KV/MZ/wWU+NE/i748aP8HdOui2l+BbBJbmIN8v8AaWoASsWA4JW38kLnkbmA6mgDyj9ir4E+Iv2+v2mta8c/Gi+uNX0bTGXVvENwzFWu5JWK21krL/q0k2EYXAWGNlTadpH9XelaVpmhaZaaLotpFYafYRJBb28CCOKGKNQqIiKAFVVAAAGAK/LP/gjz8OYPCf7Kb+NXiAu/G+r3l35ndrezb7HGn0WSKUj3Y1+rdABX8Yf7fWheJdB/bB+KcXii2kt5r3Wbi8ty6lRJZ3B32zoT95TEVGR3BHUEV/Z5XNa/4L8HeK3gl8UaFYaw9scxNeWsVwYz1+QyK238KAPyh/4IweGfFmifs5+JdY1uGa20nXNfkn01ZVKrKkdvDFLPHnqrOoTPQmM+lfsHUUEEFrBHbW0awwxKEREAVVVRgAAcAAdAKloAK/B3/grp+2Nq3h0r+y38OdQ+zTX9ss/ia4hbEognGYbAMOVEifvJh1ZGRc7WcH9u/G3i3SPAHg3XfHPiCTytM8PWNzqF03pDaxNK+PfapxX8SEd14o/aR+P1tLrk7T678R/EMMUj53ETandLGAueipvCqOgUADgUAf0F/wDBKf8AY20H4dfDnTP2jfG1itz4z8WwGbS/OXP9naXMMRtGCOJblPnL9REyoMZk3fsXWdpGk6foOk2Wh6TCttY6dBHbW8S/djihUIij2CgAVo0AfIH7fOheJfEn7HnxR0jwjbSXmpSaWJBFEpeR4YZ45bgKo5J8lX4HJr+NnQdD1rxNrdj4d8OWcuoarqMyW9rbwKXllmkYKiIo5JJPFf3y1yuneBPBGkavJr+k+HtOstUmJL3cFpDHcMW4O6RVDHOTnJoAv+GrXUrHw5pVlrM32jULe0gjuJCcl5kjAkbPuwJrboooAKKKKACiiigAooooAKQkAEk4Apa+C/8AgpR8aJ/gt+yZ4qvtKujaa14oMeg2Do21w97nz2UjkFbZJipHIbHSgD8Lf29/2pPF/wC2H8e7f4UfDqZr3wdpGqLpeg2dufl1K/kcW/2xuzmVyVhJ4WIjABdyf6H/ANkb9lfwT+yj8LLTwX4eijudcvEjm1vU9v72+vAvzEEgEQxklYU6KvJy7Ozfzmf8EpPhzB4//bG8P395EJrXwfY3utup6b4lW3hY+6TTxuPdRX9bVABX4g/8FuNC8S3vwx+HGvWFtJLommapex30iKWWKa4ijFsXI+6GCSgE8ZwOpGf2+qrfWNlqdpLYalbx3drOu2SKVBJG6nsysCCPY0AfyEf8EyPDPizxB+2d4BvfDEMxi0WS6vL+eNSUgsxayxv5jdAsm8RDPUuAK/sBrn/D/hPwr4TgktvCujWWjQykF0sreO3ViOhIjVQTyetdBQAV/Jz/AMFU/wBoXVvi9+0pqngC0umPhj4byPpdrACQrXwC/bpmH9/zR5QP92MYwSc/1jV/Dh+0Mb+w/aO+Jb6mPMvIPFesmYSD70i30pbcPc9aAP6v/wBg/wDZq0b9mn4AaFoX2RU8Ua/BDqWu3BX9693MgYQluuy3U+Wq9Mhmxl2z9oVx3w98c6B8TPA2gfELwtOLjSfEVlBfWzggny50DhWx0Zc7WHUMCDyK7GgAr8Tv+Cxv7Nuj+IfhpZftJaBaLDrvhaaCx1aRAF+06dcuIoXkwMs8E7Iqn+5I2ThVA/bGvjn/AIKBz2Fv+xn8V5NSAMR0gou7p5rzRrF+PmFce9AH5h/8EXv2hdVnvPEn7NfiC6M1lDbvreiiRiTCRIqXkCZ/hYukqqMYIkb+I1/QFX8mH/BJSK/k/bT8OvZgmGLTdVa5wM/uvszKM+n7wpX9Z9AHA/FT4gaX8Kfhr4o+JetDfZeGNNutRkTO0yC2iaQRg/3nICr7kV/IP8ELW/8A2wP20vDI+L161+/jjXftOqFmIEkEStO9shzlEMcfkxgH5FwF6Cv6YP8Agou9/H+xV8VG01d0x0+AMP8Apk13AJT+EZY1/IP4B8ceI/hn410P4g+ELn7HrXh68hvbSXGQJYWDAMP4lOMMp4ZSQeDQB/eJY2Nlpdjb6ZptvHaWdpGkMMMShI4o4wFREVcBVUAAAcAcVarzD4KfEmD4w/CPwf8AFK3tTYr4p0u11Brcnd5LzxhnjDEDcEbKhscgZ716fQBwnxO+G/hP4veAdc+GvjmzF9oniC2e2uIzjcA33ZEJztkjYB0YcqwBHSv4iPGXh7xT8Dfi7rPhhLx7TxB4F1me2S6gJRkudPnKpNGeo+ZA6n6Gv7sq/jZ/4KLwWtv+2r8VI7MARnUIHOOm97SBn/HeTn3oA/q2/Zq+LafHb4DeCPiztRLjxFpsUt0kf3EvI8w3SL/srOjqPYV7hX50/wDBKdL5P2IPBBu/9U9zq5g/65f2jcA/+Ph6/RagAooooAKKKKACiiigApCQoLMcAckmlr4k/wCCiPxdf4N/skeOdbsbg22q63AuiWDK21/O1E+U5RhyGSDzZARyCvFAH85//BQj9qnUv2mvjrqR0y9MvgjwnNNp+hQof3UkaNtmvPdrll3A8ERhFxkEn9w/+CWP7LOn/BT4HWfxR8RWKDxp8QoEvXldcy2ulyAPa2yk/d3riaQDBLMqtny1x/Nb+z38Nh8Yfjj4F+GMgY2/iPWLO0uSn3ltWlBuHHusQdvwr+5O1tbaxtYbKziWC3t0WOONAFVEQYVVA4AAGAKAJ6/Jn/grR+zPpvxS+Bs3xn0GxT/hLPh6vnyzIuJLjRyT9oiYjqIS3nrn7oWQDlzX6zVh+J/Dul+L/DereE9ci8/TdatJ7K6j/vwXMbRSL+KsRQB/Ln/wSq/ap1D4NfGu1+EfiS/KeCviDOtt5cjfu7XVnAS2nXP3fNIEEmODuRm+4K/qor+CvxXoGpeBPGmseF7l2i1Dw9qFxZu65RlmtJWjJGOQQy/hX9sf7NPxUj+NnwD8CfFISCSfX9Kt5bor0F5GPKulH+7Ojr+FAHuNfLH7Zn7RNr+zD8AfEHxLQxvrRC2OjQS8rNqVyCIsrxuWMBpXGRlEYZyRX1PX80v/AAWj+Lr+IvjL4W+DthcFrLwfpxvbqNW+X7dqRyAy9ylvHGyk9BI2OpyAfm98Gvhx44/aw/aE0fwVNfzXuueNdSefUdQmO+RYyWnvLpyepWMO4HG5sKOor+0r4feAPCfwt8F6P8PvAunx6XoWhW621rbxjhUXqzHqzuxLOx5ZiWJJJNfgb/wRJ+Flrf8Aiv4hfGW/h3SaRbW2jWLEZAe8Yz3JHoyrFEM+jkd+f6I6AEZQwKsMg8EHvX8j3/BTX9mqw/Z2/aHlv/CNmth4S8bxNqmmxRDbHbTqwW7t0HYJIRIqgYVJFUdK/rir8iP+Cy/w5t/E37NWkfECOLN74M1qE+ZjO201FTBKvtulEB/4DQB6b/wTD/anvv2ivgc3h7xnfm88a+BHjsb2WQ5lurNwTaXTnqzMqtG7dS0ZZuXr9Kq/kV/4Jb/Fo/C79r3wzY3U/k6b42jm0C5BPBe6w9rx0JNzHEo7gMcdcH+uqgDF8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/VYZYo//HK+5KKAPkpf2Ff2TVAUfDuz49Z7s/8Atanf8MLfsnf9E6s/+/8Adf8Ax6vrOigD+Uj9rzwV4X+HX7RvjXwZ4LsF0zRdNuIFt7ZGd1jEltFIwBdmblmJ5PGcDiv3i8IfsRfsr6j4T0XUL34fWctxc2NtLI5muss7xKzHibHJNfiN+3j/AMna/EP/AK+rX/0jgr+mPwH/AMiP4d/7B1p/6JWgD53/AOGFv2Tv+idWf/f+6/8Aj1H/AAwt+yd/0Tqz/wC/91/8er6zooA+TP8Ahhb9k7/onVn/AN/7r/49XVeCv2Tf2evhz4ls/GPgjwbBpGs6eWMFzDPc703qUYYaUggqSCCCCO1fRNFABXw38S/+Ce37PPxR+IV18RNZt9Q0661D57u006eO3tLicnLTMnlM4d/4tjqCfmI3FifuSigD4ZT/AIJxfskKoU+ErhiBjJ1O+yfc4mArwf8Aad/Y4/ZL+DHwJ8X/ABBsvDEtvqVjZtFp7NqV4+L65IhtyEaYh9sjhypBBCnPGa/V6vxB/wCCrPxpjv8AWPD/AMCdHn3JpeNW1QKePPlUpaxH3WNnkIPBEiHtQB+aPwZ8R/Cfw94sRvjN4SfxX4cudqTC3up7W7tuf9bCYpI0c88o/XAwy8k/ur8Pv2Jf2GPil4R0/wAdeBdBk1TRdUQvDMmp368qSrKytMGV1YFWUgEEV8A/sG/sVJ8aLxPir8T7Z18E6fLttLVsr/as8Z+YE8H7PGRhyPvtlAeGr+gfTNM03RdPt9J0e0isbG0RY4YIEWKKJFGAqIoCqoHQAYoA+Kf+Hcn7I/8A0KM//gzvv/j9H/DuT9kf/oUZ/wDwZ33/AMfr7kooA5jwX4Q0bwD4W03wb4dEy6ZpMQgtluJ5bmRIgSVQyzMzkKDtUEnaoCjgAV+e3/BVTVvsP7Omk6crYbUvEVpGR6pHb3MhP4Mq1+mFfjV/wV08RhNM+G/hGN8mabUb6Vc9PKWGKM/jvf8AKgCb/gkVpBi0P4ma8R/x83Ol2yn/AK4JcOR/5FFfsfX5qf8ABLDw2dI/Z01DXJFw+u67dTK3rFBFDAo/B0f86/SugDx79oaf7N8AfiXc9PK8M6y3/fNlKa/nz/4J1pv/AGvfBLf3I9UP/lOuR/Wv3z/aluPs37NvxPk6Z8Oaon/fy2dP61+Dn/BN+LzP2tfC7/8APK11Nv8AyTlX+tAH9LtFFFABXk3x48Ta74L+Cnjrxf4YuBaatomi397aylFkEc1vA0iNscMrYI6EEGvWa8U/aUj839nb4op/1K+tEfUWUpFAH56/AP8A4KleFtbWDQPj7p39g3uAo1ewR5bOQ+ssA3SxE+qeYpPZBX1z/wAN6fsk/wDRQ7b/AMBL3/5Hr+dL9n7w/o/iv45/D/wz4htFv9L1XXdOtrq3fIWWGW4RXRtpBwVJBwelf0g/8MSfsqf9E407/vqb/wCOUAZf/Den7JP/AEUO2/8AAS9/+R6/JL45+Ev2Yfit+0ddfELSvi/pemeDfEM0d5qkZtNQ+3RTYAuFgQWhjbziN4dnG1mbKnaA37A/8MSfsqf9E407/vqb/wCOUf8ADEn7Kn/RONO/76m/+OUActof7bX7GvhvRbDw7onju1tNO0u3itbaFLS+2xwwoEjQfuOiqAK1f+G9P2Sf+ih23/gJe/8AyPWp/wAMSfsqf9E407/vqb/45R/wxJ+yp/0TjTv++pv/AI5QB+O/x3+Lnw0/ar/att38aeLl8PfCvw6gtoLxopy09tEQ0xhjSNmEtzISFZlG2MKWBKhT+rXh39tL9i3wloVh4Y8N+NrLT9K0uFLe2t4rO9VIooxhVA8jsO55PU8113/DEn7Kn/RONO/76m/+OUf8MSfsqf8ARONO/wC+pv8A45QBl/8ADen7JP8A0UO2/wDAS9/+R6+cv2lf+Ckfw38N+CH0/wCAOrJ4j8UaoHjS68iVLfTkxgzMJ408yTn92gBXPzPwAr/UP/DEn7Kn/RONO/76m/8AjlH/AAxJ+yp/0TjTv++pv/jlAH89PwP/AGnPib8EPibL8SdL1CXVZdVlLaxbXUrOmpo7Fn81jk+ZkkpLyysT1Usrf0y/Bb40+Bfjz4FtPHngO78+1n+SeB8C4tLgAF4ZkBO11z9GGGUlSDXmH/DEn7Kn/RONO/76m/8Ajlem/DX4E/CT4PXN9d/DPw1b6BLqSIlybdpMSrGSV3B2YfKScHGeTQB63RRXi/7QXxl0X4C/CjXPiRrG2SSxj8uyt2ODc3svywQjvgtyxHIQM3agD8n/APgqJ8Xrvxf458N/s8+Ema8OlvHeX0EGXaXUbsbLWDaOS6RsWA7+aO4r9If2QP2ebT9nT4QWPhq5RH8R6ptvdZmXB3XTqAIlbukK/IvYnc4xuNfBP/BPv9njXPiF4uvf2uPjAHvLu9u57jSFnHNxdSMfOvip42oxKQjpuywA2IT+ztABRRRQAV+Jf/BXj/kK/C7/AK46v/6FaV+2lfiX/wAFeP8AkK/C7/rjq/8A6FaUAenf8ElP+SX+Of8AsMw/+k61+s1fkz/wSU/5Jf45/wCwzD/6TrX6zUAFFFee/E/4qeA/g54SufG3xE1WPSdKtyE3sC0ksjfdjijUFpHODhVB4BJwASAD0Kisfw/r+i+KtEsfEnhy9i1HS9ThS4triFt0csUgyrKfQj/69bFABRRRQAV/KL+16mz9p34lj/qN3R/Ns1/V1X8p37ZCbP2oviUP+oxMfzANAH9T2i/8gaw/694v/QBWnXg+kftF/s+R6TZRyfE/wujpBGCDrViCCFGQR51aP/DR/wCzx/0VHwt/4O7H/wCPUAek+Kv+RX1j/rzuP/RbV/L9+xHJHD+1V8O5ZWCIl9IWZjgAC3lyST0Ar+h3xL+0V+z7P4c1WGH4neF5JJLSdVVdasizMYyAABNySa/nV/Y10zT9b/aZ8CaNq0C3Vjf3U9vPC4yskUttKjo3sykg0AfdHi/TPFH/AAUa/aWbTtBmltPhF4CkNs1+nCSIWBlkizwZ7oqBH/ciVWYZyG/Qvx5+0D8H/wBlLX/Anwd1vSZ/D/hrU7N47PUIos6fZ+QyoschGXJOd0jjJXcrPkOWX6C+Hnw38EfCfwtbeCvh7pMWjaNaF2SCIs2Xc5Z3dyzux7szE4AGcAV5L+1Z8BtN/aF+Dur+DXiT+2rZWvNInbAMV9Ep2Dd2SUZjfttbOMgUAfQ9le2Wp2cGo6dcR3VpdIssU0TB45I3GVZGXIZSDkEHBFWq/nO/Y3/bP8Tfs8eIk+GXxNee58DyXDQSxShmn0ebcQ7xKfm8sNnzYvqyDduD/wBE9jfWWp2VvqWmzpdWl3Gk0M0TB45I5AGV1YcFWBBBHBFAFqvyo/4Kzy4+DXg6D+/r+7/vm1mH/s1fqvX5Kf8ABW2bb8NPAlv/AH9Xnb/vm3I/9moA8g/4JGxZ8ZfEWf8AuWFgv/fUsh/pX7lV+JH/AASIh3ax8T7j+5BpK/8AfT3R/wDZa/begAr5+/aO8QfHrwl4DfxT8A9O0vXNT0zfLd6dqFvPNLcW4Gc2vkzw/vEwTsIJcHC4YBX+gaKAPxH8Lftxft8eNRv8KfCay1OL/nrDomqGIfWQ3QQfnXxv+2V4+/aC8feK/D15+0J4Tt/CWp21i6WUNvBLAstu0pLMRLNOSQ2RwRjuO9f1AV+EH/BWz/kpvgX/ALA8/wD6UGgCv+zT8Vv27PD3wK0Pw78FPh3p2s+E4xeix1KWEvOzSXMrStk3kaEpMzhcxY4GQ3f5w1X9k79tnW/Fc3jnVPB+sXHiG4uftj37XMIuPtAbcJA4lBVlIG3GNuBjGBX7O/8ABOz/AJNB8D/7+qf+nK5r7ZoA+Zf2W/Gfxu8TeAxpfx+8KXPh/wAT6OI4mu5DEYdSjIO2ZRE7bJRjEq4C5IZeGKr/ADv/ALQBz+1f49/7G6//APS1q/q6r+UH4+Nu/at8fH/qcNRH5XzigD+r6vw0/wCCuWoeb4z+HWlZ/wCPbT7+fH/XaWNf/aVfuXX89X/BVXW/7Q/aH0jSUbKaV4ftUYekktxcSH81KUAfYf8AwSZ0/wAr4KeLtVx/x8+IWhz/ANcbS3b/ANqV+qVfnv8A8EyNE/sr9lqyv9uP7Z1bULvPrsZbbP8A5BxX6EUAfzb/APBTH/k6nVP+wbp3/oqv3N/ZZbd+zZ8MD/1LmmD8rdBX4Zf8FMf+TqdU/wCwbp3/AKKr9xf2T38z9mj4ZN6eH9PH5QqKAPoOiiigAr4r/ab/AG3/AIX/ALO8E+hQuviXxnt+TSraQYgYjhruUZEQ77MGQ8YUA7h5/wDF+0/bb+NfjzW/hx8P0t/hf4B0+c27a60xN5qEWAS8JT96oIOQI1jAOVMx5Fdb8Fv+CfnwK+FE8Wva/av468Sq3mtfauA8Sy5yXiteYwc8gyeY4PIagD85/B37Of7S37d/jGP4sfGO+k8OeF5/+PeaaNlAticiLTbRjkRkf8tXIVvvFpGyD+gGoeN/2cf+Cemj6d4JXwxrFpaa0gmOqwWqXRvp48hlnuWkQmVBz5e1VUNlFAJr7+AAGBwBXE/ET4b+CPix4VuvBXxC0mLWdGvCrPBKWUhkOVdHQq6OOzIwI5GcE0AfDH/D0n9mb/nhr3/gDF/8fo/4ek/szf8APDXv/AGL/wCP19MeG/2TP2afCcAt9I+GuhuFxhruzS+kGP8AppdCV/1rvY/g18IIkEcXgbQkUdAumWoA/Dy6APir/h6T+zN/zw17/wAAYv8A4/R/w9J/Zm/54a9/4Axf/H6/JX9vbR9I0D9rHx1pOhWMGm2MH9meXb20SwxJu021ZtqIAoyxJOBySTX7s/s3/Cv4Yal+z78NdQ1Hwho91dXPhzSpJZpdPt3kkd7WMszsyEsxPJJOSaAPCLv/AIKm/s3Q2k0tpZa9cTojNHEbOJA7gZVdxnIXJ4zjivyp1T9uj456h8dofjhDqJtntCYINIDsbBdPZstasnG8PgF5D85cBhtKqF/o2/4U98JP+hI0P/wW23/xuj/hT3wk/wChI0P/AMFtt/8AG6APzE1/9mr4B/t2+BP+Fy/Au4h8F+MZTjUbTaPswvMZeO7hjGUZjys8Q+cHcyM2dv5QfGL9nz4tfAfVv7L+JOgzWEUjFYLxP3tlcY/55TrlCcc7ThwPvKK/q98P+DvCPhPz/wDhFtDsdG+1bfO+xW0Vv5mzO3f5aru27jjPTJx1rS1fR9I1/Tp9H12xg1Kwul2TW9zEs0Mins6OCrD2IoA/ju8J6/4x0DWIJvA2o3+m6rcMsUTabNLDcO7nCohhIckk4AHU1++v7JHwv/bk0LX9F8T/ABs8ck+FdkxutE1Cf7dqMgeB1h3ymN/LKyFHIE+75SrAcivfPDf7E/7Pfg34r6f8YPCegNpWq6b5rxWkMpNgJpFK+cIHDbXQE7AjKinnbkAj6xoAK8c+Pnwd0L47/CrXPhvrgVDfxF7ScjJtryP5oJh3+VuGA+8hZehNex0UAfx02nhbxTpvxBg8FJDLZeJLXVF08Rpnzor1JxEFXbzuWQYGOc9K/sUUFVAZtxA5J7+9fMx/ZG+DB+PI/aJNhP8A8JOD5vk+Yv2H7Vs8v7V5OzPnY5zv27vn27/mrn/24PjL/wAKX/Z61/VbGfydb15f7I03Bw4mu1YPIvcGKEO4P94KO9AHwB8NdQ/4a1/4KKXnjvP2vwr8Pg8tmesZh05vKtGQ/wDTS6c3AHXGfSv2P8deC9A+Ivg7WfAviiD7TpWuWslrcJ32SDG5T2ZThlPZgCOlfnZ/wSz+F3/CLfBbVPiTew7LzxpekQsRz9isC0SY9MzGbPqApr9PqAP5IfHfwE+I3g34waz8FrTR7vW9e0y4aOKKyt5JpLmA4aKdEQM2ySNlf/Zzg8g19IeCv+Ca/wC1F4uijuNS0uw8LwyAEHVLxQ+D6x2wndT7MoNS+HP22fjP8CfjD4vFvdR+JtJbVr2GW01MGWTyY7mTakV1/rowuTsXc0akk7Dmv3W/Z5+OFr+0D8Orb4g2fh3UfDkU7mPyr9AFkKgZe3kGBNDk4Em1ckEYGKAPyx0D/gkZ4lmCN4o+I9pZn+JbPT5Ln8A0k0H57fwr2DRv+CSvwng2/wDCQeNtbvcdfsqW1rn6b0nxXQ/tUftyeOf2aPj/AGng7+w7PX/Ct1pNrePAxe3u1kklmR2jnG9f4B8rRkccEck/SHwF/bO+CH7QdzBoXhbUZdN8SSoz/wBk6hH5VwwjUs5iZS0UoABPyuWCjJUUAePaV/wTB/Zf07H2yLWdUx/z83+3P18iOKrnjv8A4Jy/s43fw91/SfAXhf8As3xLPZyjT72S/vJjHdqu6IlZZmj2lwFb5fuk175+1l4q8V+B/wBnfxt4u8D6g+l63pNrHPb3KKjtGVnj3/K6spym4HIPBr81Pgh/wVW1KFrbQvjv4f8Atykqn9q6QoWbnjMtoxCMSeSY2XHaMmgD84P2fPBvi/Xf2hfBPhfQbaWHW7XXbR2G0h7b7HOsk0jjt5KozN/u+tf1p1458PvhJ8IdB8Qaj8XvBPhmPTNd8aIt3eXkkU0VzILnbKwaKf5oC5w0kYRCX5cbhXsdABRRRQB498W/gH8JPjnbada/FLw9Fra6VKZbZzJLBLGWGGUSwOj7G43Ju2kgEjIGMzQv2Yv2dfDkCW+lfDXw+ojGA8unQXEv4yzI7n8Wr3SigD5Q+Oen/s8fAb4cX/xN8R/DLR7/AE7TZrWOaK10mxM225nSHcodFU7d+cEjOMZHWrPwnh/ZG+N2gDxF8NfDnhfVoFA86JdLtEubdj/DNC0QeM+mRg9VJHNcb/wUSh839kHxy/8AzybS2/8AKlbL/WvxN/Yy/Zz0X9pf4iax4N1zWbrRIdN0p79ZbRUZ2ZZ4YthD8YxIT9QKAP6OP+FG/BT/AKJ/4e/8FVp/8ao/4Ub8FP8Aon/h7/wVWn/xqvzt/wCHTfw8/wCiga1/35go/wCHTfw8/wCiga1/35goA/RL/hRvwU/6J/4e/wDBVaf/ABqj/hRvwU/6J/4e/wDBVaf/ABqvwx/bK/Yr8NfsyfD3R/GXh/xTqOsz6lqiWDRXSRoio0Esu4FOc5jA/Gsr9i/9jrw/+0/4Z8R6/wCIfE9/oz6LeRW0aWqI4cSR7yzF+/YYoA/eP/hRvwU/6J/4e/8ABVaf/GqP+FG/BT/on/h7/wAFVp/8ar87f+HTfw8/6KBrX/fmCj/h038PP+iga1/35goA9Z+PHxd/Y4/Z88caB4F8Y+AdGubvVR5t41ppFnL/AGdbtxHLMnl7jvboi5baC2D8ob6c8NfDT9nPxloVn4n8KeEPC+raVqCCSC5ttNs5IpFPcMIz0PBHUHIIBBr+b/8Aa0+Bulfs8/F6b4d6NqlxrFsllbXQnuVVZCZwcqQnGBjiv2y/4J5fAxfhX8FrHxjLrt1qVz48trbU2tC7LZWiSJuRY4s4MpVh5knfAUDC5IB9V/8ACjfgp/0T/wAPf+Cq0/8AjVWLT4M/B6wuob6w8C6DbXNs6yRSx6Zao8bocqyssYIYEZBByDXpVFABRRRQAVh+J/EekeD/AA3qnizX5xbaZo1rNeXMh/ghgQu5/AA8d63K/Lb/AIKjfGseEPhdp3wg0ifbqfjOTzbsKfmTTrVgxBxyPOmCgeqo4NAHkX/BPzTNW+On7R3xE/ai8VxEtbvJHaBuRHcX+QERvS3tU8r/AHXWv2mr5B/YW+Fn/Cqf2avC1hdQ+TqWvxnWb3Iw3mXwDRhh2KQCJCD3U185/tMad/wUH8H/ABAE3wM8T3fibwtrkjtbQxWGmGbTnJyYJmkgAMY/5ZyseR8rncMsAfqVRX5F6X4I/wCCsF/ZR3V1420zTZXHMFwNMaRPqYbOVPyY1of8K8/4Ksf9FF0X/vix/wDlfQB+qmr/APIJvf8ArhJ/6Ca/ln/Yt/5On+G//YUX/wBFvX6d3vw9/wCCqK2c7XPxD0ZoRGxcBLLJXBz/AMw/0r8f/gPZfEHUfjB4VsfhTexad4tmvFGm3E23y459pwzb0kXGM9UI9qAP67aK/Jv/AIV5/wAFWP8Aooui/wDfFj/8r6P+Fef8FWP+ii6L/wB8WP8A8r6APyr+IH/J3fiT/sebz/05vX9DWtftf/A3QfjXa/AjUdbCa9cDy3uBt+xQXZICWks275ZnzwMbQcKzByFr+aHxbpvjeT4ya1pHiC8V/GDa9cwXd1EwjU6kbplklRo1UKDNlgVUY7AdK+05v+CYH7UNzNJc3Fxoks0rF3d9QkZmZjkkkw5JJ5JoA/opor5U/ZT8PftHeCfBh8EfH6Sw1T+ylRNO1K2u3uLmSEceVcho13GMY2yZJYcMMjcfqugCre3tnptlcajqM6W1raxvLNLIwSOONBuZ2Y8BVAJJPAFfzW/H/wAZ+P8A9uX9pKfSPhVp82s2NislnotspESLZQEmS6kaQqkYmf5yzlSAUQ5IAP6Fftv/ABG+Jvxa8a2/7HHwN0+4n1G+jhufEF0A0cMdrKA8cTy4wsO0h5n/AIsrGuSWQ/Wf7Ln7L3g39mfwX/ZGlbdR8RaiqNqmqMuHuJF6Rxg8pChJ2L/wJssaAPhb4G/te+FP2U/C+jfAr4y/C7WPAE+mpiS8jUXMd7O3+uu3DCJmDt3iMwAwqnaAB+gWlftXfs9a74K1Tx9onjfT7zTNGtnu7pFk8u7jjQdDay7JgzHCqCg3MQBk16r488J+BPGXhm80r4j6ZY6poaxtLOmoIjwRqikmQl+EKjJ3ggr1yK/ld+Oln8J9X+MeoaP+zlpt63hyWdLWyid3uXurgttJtlI80RuxAiRy7nqSNwRQDvfEWo/Er9uf9pR30m3IvvEE4itYmJaHTdMg+6ZGHRIkyzkffcnA3OAf6Qfgt8IPCfwL+HWl/DnwdFttLBN007ACW6uXx5s8pHV3P4KAFHyqAP5wPgL+0B8S/wBjXx3rUD+Frdr268u21Kx1W3eC8jSIltkcvEkW7IJyGVsKSpwDX7ZfAj9v74FfGqW20S8vG8H+I58KtjqbKscsh/hguRiN8ngBtjseiUAfcVfyf64u39rLUF9PG0o/8qRr+sCv5RPEYA/a51QDt44n/wDTmaAP6u6/Bz/grWP+LpeBz/1Bpf8A0pav3jr8Gv8AgrXKh+KvgiEH510WRiPZrlwP5GgDq/8AgmX4b/aRvJx4k07xAdP+FNvLJFNZ3n+kpdzL95LOInMJUkF5QVUnjbIQQP0S/bc/5NU+I/8A2Dl/9HR15f8A8E1IvL/ZS0N/+et/qTf+TDL/AEr1D9tz/k1T4j/9g5f/AEdHQB+S/wDwSi/5OL1//sVrz/0tsq/oQr+e/wD4JRf8nF6//wBitef+ltlX9CFABRRRQAUUUUAFFFFABRRRQAV/Iv8AHrxXP8Qvjl448VKWl/tXWr1oB1Pk+cyQL+EYVfwr+uiv45/CqNqnj7R47zhrvU7cSZ7GSZd2fzoA/rr8A+GYvBfgXw54OhAEehabaWC46YtoViGP++a62iigAooooAKKKKAPM/i58I/BHxt8EX3gHx9Yi80+8G5HXCzW0wB2TwPg7JEzwehGVYFSQfzg8M/8Ek/htaOW8YeO9W1RckgWNvBY8dgTJ9qz74xn2r9a6KAPzjt/+CW/7MsKbJJtenP9576MH/xyBR+lT/8ADr39mH01v/wPX/41X6K0UAfh/wDtmfsSfAr4DfA6+8feDP7TGsR3lpbQfabtZYj5z/PlfLGfkDY5HNfD37G3wZ8M/Hj46ab4A8Y+f/Y0lreXNx9mkEUuIYiUwxDY+crnjpxX6vf8FXdfisfgR4c8PhsT6rr8UmPWK2tpy/5M6V8gf8EodAN98dPEniF1zHpWgSxg+ktzcwBf/HUegD7t/wCHXv7MPprf/gev/wAar5y/a1/YO+BPwY/Z98VfErwYNU/tjR/sPkfabsSxf6RewW77kEa5+SRsc9cGv2ir4s/4KHf8mfePv+4V/wCnS1oA/Db9jP4OeD/jt8cbH4f+OftH9lT2d3O32WQRSb4U3L8xVuM9eK/Yf/h17+zD6a3/AOB6/wDxqvzN/wCCZv8AydRpf/YM1H/0VX9I9AH51f8ADr39mH01v/wPX/41R/w69/Zh9Nb/APA9f/jVforRQB+ell/wTK/Zu028g1HTptetbq1kWWGaLUQkkciHcroyxgqykAgjkGv0BsbY2Vlb2ZmkuDBGkfmyndI+0AbnIABY9ScDmrVFABRRRQAUUUUAFflH/wAFZfCEOofCbwf44Vc3Gi6w9lnHIhv4Gdjn0326D8a/Vyvgr/gpTZQXX7KGvTzDL2d9pssfsxuVjP8A465oA+Ff+CS3jFrD4leNvAbsRHrGlw36g9PMsJvLwPcrck++Pav3fr+cT/gmJdvb/tRW0K5xdaRqEZx6AI/P4qK/o7oAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAr8ufDH/KZPw3/ANguf/0x3FfqNX5c+GP+Uyfhv/sFz/8ApjuKAP36ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigD8lP+Czn/ACado/8A2Nen/wDpJeV+a3/BGb/k7PVf+xV1D/0qs6/Sn/gs5/yado//AGNen/8ApJeV+a3/AARm/wCTs9V/7FXUP/SqzoA/qUooooAK53xh4itfB/hLW/Ft9j7Noljc30ueBstomlb9Froq+XP229Vl0b9kb4uXkLmN28N6hBkdcXMRhI/EPigD+LTVNSvdZ1O71jU5TPeX00k80jHLPJKxZ2J9SSTX93fw50BPCnw98L+Fo08tNG0uysgv90W8CRgfhtr+EvQrRb/W9PsX+7c3EUZ+juB/Wv3f/bv/AG8Pij8TfiZdfsl/sordtKLs6bfahpTMb7UbteJbW1ePBihjYFZZAQX2t8yxAlwD9gfib+1n+zb8HNSk0X4kfEPSdH1OAZkszN591GO2+CASSLnsCoz2ryPSf+Ck37EetXAtrP4o2kbkhc3Nlf2qZP8Atz2yLj3zgd6/LH4Pf8EWfHfiTS01346+N4/DN7ckOdN02FdQuFDct51yzrEsmeoQSqeu/tXWfF7/AIInGy8Oz6l8EPHk2oavbIWXT9ahjjW5IGdqXMO0Rseih4ypJGWUZNAH7veEvGvg7x9pEfiDwNrtj4h0yX7t1p9zFdQk9cB4mZc+2a6ev4ifh18U/jz+x78V7ubw1d3fhTxLotz9m1PTZwfJn8lvmt7uAnbIh5weoB3RsDhq/rv/AGXP2ivCv7UPwd0n4q+GI/sklwWttQsWYO9lfQ482FmHUch0bALRsrEAkgAH0PX8vH/BaK3mh/ar8PzSEsk/hGxZPQAXt8pH5gn8a/qHr+e3/gt78PbiPW/hn8VreBmguLe80W5lA+VHhdbm2Qn1cSTkf7poA9Z/4IiXkL/CX4kWCsPNh1u2lYdwstsFU+vJQ1+3NfzMf8EYPi9YeEfjb4p+FGqzrBH470+KW0Ltjfe6WXdYlB7tBNM3/AAK/pnoAKKK8G/aW+Pnhb9mv4O698VfFEiMbCIxWFqThr2/kBFvboOvzsMsR91Az9FNAH8pP/BQu6srz9tD4rS6e4eJdUWMkc/vIreJJRx6OrA1+7n/AAR28Q3OtfsgnTZ23JoPiLUrKIeiOkF2R/31cMa/lz8UeJNY8ZeJdW8X+IZzdarrl3PfXcp4MlxcyGWRvxZia/pS/wCCKEkx/Zr8YxMP3K+LbhlP+01hZBv0AoA/Y2iiigAooooAKKKKACiiigAooooAK4X4m/EPw58Jvh74h+JXi2byNI8N2U17cEY3MsS5CJnq7thEHdiB3ruq/Br/AILPftEmx0jw7+zT4dusS6ls1nXAh/5YRsVs4Gx/ekVpWU8jZGehoA+av2BPBviD9s79t/Xf2hviTF9qs/DdyfEF0py8QvXfZplqpP8ADDs3Jn+GAA9a/p6r85P+CW/wRi+EH7Keh61e2/la34/Y67dsw+byJwFskz12/ZwsgHZpGr9G6ACiiigD81f2rv8AgmT8JP2nvG8vxMj1u88HeKLyNI72a1ijuLe7MShEkkhcoRIEULuVwCAMgnmvYf2Pf2K/h7+x5oGtWPhXUbrXdY8RvC1/qF2qRl0t9/lRRRJxGi72JyWYsSS2AoH2TRQAUUV438fvjf4P/Z3+FOu/FbxrMFs9JiPkwBgJLy6fiC2i9XkbjphRlj8qkgA/CH/gtX8XrTXviX4L+C+lzCT/AIRSzm1K/CnIW51HYIY3HZkhiDj/AGZhXpn/AARJ+EdxDb/ED46X0bJFceV4fsTjAcKVurs+4B+zgEd9w7V+Svhfwl8Zf25P2i7xNLh/tLxV4zvpL6+uCCLaygZhvlkPPlwQIVVRycBUXLFQf7D/AILfCTwp8Cvhf4e+FPguLy9L8P2ywq5ADzyn5pp5Mcb5ZCzt2ycDjAoA9RooooA/nt8Jr/wkX/Bb3Ur4/Oun3F4T/wBu/h424/JsV+5PxJ+MXwr+DulprPxS8V6b4XtZiRE1/cpC0xXqIkJ3yEeiAmv5mfEn7SFl+zv/AMFD/jR8ZJLD+1tR0y612x0y2ORG987C1j81gQRGgDM+DkhdoIJBHovwf/YI/aT/AG8NQb9ob9oLxdJ4d03xCRNbT3ULXF9dWxJKfZbXdHHb2uDiLJAwdyxspBIB+p2tf8FXP2KNJuXtrfxdeapsbaXtdKvCnHXBljjyPcde1d/8Of8Agoz+xz8TtRj0bRviHbaZfykBItXim0xWLcBRNcokJYngASZPpXy9Z/8ABFj9l6GyMF74m8W3Fww5mW8sYwp9VT7EQPoxavzX/bQ/4JgeM/2bfDtz8T/h5q8njLwTZkG9EsQi1DTkZtqvKqEpNFkgNIgUqT8yBQWoA/qkR0kRZI2DKwBBByCD0INOr+XT/gnH/wAFA/EfwZ8W6V8GPi1qr3/w61iZLa2uLuQs2iTP8sbI7E4tWbAkQ4WPPmLjDh/6igQRkcg0ALRRRQAUUUUAFFFFABRRRQB+Fv8AwW/8X/ZfA3wv8Ao+f7S1K/1N0B6fYYY4UJ+v2psfQ18Df8EkvDEfiD9s7QtRljEg8O6XqeoDIyFLQ/ZQ34G4496+jf8Agt5feZ8VPhrpmf8AUaLdzY/67XO3/wBp1x//AARQsxJ+0j4xviMmDwnPGD6eZf2Z/wDZKAP6bqKKKACv4v8A9vfw9H4Y/bH+LOmxxiMTa3Le4HHN+q3ZP4mXP41/aBX8hv8AwVPtRb/tyfEGQDH2iPR5P/KXar/7LQB+z3/BHjxd/wAJD+yL/YTvlvC+vahYhT1CTCK8B+ha4b8Qa/VSvxH/AOCIl95nwk+I+m5/1GuW0uP+utsF/wDadftxQB8I/te/sA/Cn9ru907xLr1/d+G/FOlwfZY9SslSTzbYMzrFPE4w4RmYqQysMkZI4rI/Y6/4J5fDj9kPX9U8a6drt54p8TanamxF3cxJbxQWzOsjrFChYhnZF3MztwAAB8279BaKACiiuU8deN/C/wANfB2sePfGl+mmaHoVtJdXdxJ0SOMZOB1ZmOFVRyzEKASQKAPxn/4LW/F600v4d+C/gfYzA6hrt82s3iKfmS0skeGEOP7sssjFT6wmvk3/AIIz/CO48V/tAa38WbmNhp/gTTXjifHBvtUDQoue4ECzk46Er618UfGP4gfEz9uX9py81rw9pc+oax4qu1stF0yPDNb2UWVgiJztUJGDJM5IUMXkOBnH9V37IP7N2ifst/BDRfhpY+XcasR9s1i8jHF1qMwHmsCQCUQARx5AOxFyMk0AfT1YHivUP7J8L6xqudv2OzuJs+nlxs39K368o+POof2T8DfiJqudv2Lw5q82fTy7OVv6UAfjH/wQ207ZYfGPV2H+tk0KBT/1zW+Zv/QxX63fFn9q/wDZz+B1zJYfFHx9pmi6hEod7LzDc3qqeQTa26yTAHtlOe1fy7/s4ftZ+Ovgb8E/FPwj+CtpcN8QviPrFvDFeW8ZkmtrZYhEi2qLktdTSSFUIB2AEgbypH3l8Ff+CNHivxhaxeMv2k/G8+lX+qZuLjTdNC3N8JJTuJuL6YvH5uTlwscgJP36APvGb/grT+xXFciBPEmozIT/AK1dJugn5Mgb/wAdr6V+Dn7YP7Nnx7uU034X+O7DU9Uk3bdPm32d820ZbZbXKxSuABklFYAd6+D9W/4Irfs0XGkvbaL4q8VWWoBSI7ia5sp039jJELSPcB6KyH3r8Vf2sv2O/it+xh4108atef2jol9KZNG1+yDQCSSEhtrqCWguE4bbuPHKO2DgA/svor8av+CYf7e+r/GuL/hQvxkvxdeM9MtjLpWpSt+91W2hH7yOYn71zCvzbussYZmG5GZ/2VoAKKKKACiiigAooooAKKKKAPys/wCCw3i//hHf2RDoKPh/FOvafYlQeTHCJL0n6BrdfxIr8B/2FPDEfi/9r/4T6PNGJUj123vWUjIIsM3fI9P3XNfsZ/wW9vvL+Fvw00zP+v1m7mx/1xtgv/tSvzR/4JWWYuv24vAUrDP2WHWJfp/xLLlM/wDj1AH9dtFFFABX8n3/AAV28PR6L+2XquopGEOvaPpd6xH8RSI2mfytwPwr+sGv5jf+C1tqE/aX8IXgGPO8I2yE+uy/vT/7NQB9Pf8ABD/xd9p8EfFHwG74/s3UdP1JFPf7bDJC5H0+zLn6iv2A+Ofi/wD4V/8ABXx745D+W+gaDqd8hzg+Zb20kiAe5YAD3r8HP+CIN95fxL+J2m5/1+kWMuP+uVwy/wDtSv13/b9vv7O/Y2+LFxnG/RpIf+/8iRf+zUAfxh1/dd8FPDEfgn4N+BfB0UYhXRNC02y2gYwbe2jjP45HPvX8MWkWv27VrKxxn7RPHHj/AH2A/rX99QAUBVGAOgoAWiiigD8Pf+C3vh6O5+GPwz8VmMF9O1i8sg/cC9t1kI/H7MD+Ffnd/wAEmfF3/CM/toeHdNZ9kfibTtT01j0Bxbm7UH6vbqB74r9YP+C0NqJ/2U9Amxk2/i6wfPpmyvk/9mr8PP8Agn5ff2f+2Z8KJ8436uIv+/0Mkf8A7NQB/ZtX4W/8Fv8Axf8AZfA3wv8AAKPn+0tSv9TdAen2GGOFCfr9qbH0NfulX84P/Bby+8z4qfDXTM/6jRbubH/Xa52/+06APnL/AIJJeGI/EH7Z2hajLGJB4d0vU9QGRkKWh+yhvwNxx71/WXX8yP8AwRQsxJ+0j4xviMmDwnPGD6eZf2Z/9kr+m6gAooooA/i//b38PR+GP2x/izpscYjE2ty3uBxzfqt2T+Jlz+NfvZ/wR48Xf8JD+yL/AGE75bwvr2oWIU9QkwivAfoWuG/EGvxh/wCCp9qLf9uT4gyAY+0R6PJ/5S7Vf/Za/Tr/AIIiX3mfCT4j6bn/AFGuW0uP+utsF/8AadAH7cUUUUAFFFFABRRRQAUUUUAfzW/8FtfF/wDaHxq8AeBkfcmiaDLfEA8LJqNy0ZH122qn6Yqb/giR4YjvfjJ8QvGLxhm0nQobJWI+6b65WTj3Itj+Ga8N/wCCvF99r/bJ1K3zn7Fo2lw/TMbS/wDs9faH/BDazCaX8Y7/ABzLNoUWf+ua3zY/8foA/e6iiigA68Gv4P8A4qeHk8JfE/xf4UjTyk0XWNQsgg42i2uHjA/DbX94FfxHftfWos/2rPjDCo2j/hLtbcD/AH72V/60Af1Of8E7PF3/AAmn7F/wu1Jn3yWWnPprDuv9m3EtooP/AACJSPYivtCaaK3hkuJ3EcUSlmY8BVUZJPsBX5mf8Ei777X+xnpEGc/YtX1SL6Zm8z/2evvj4s339l/CvxlqecfZNF1GbPp5dtI39KAP4dPiH4pl8c+P/E3ja4JMviDU73UHJ67rud5jn3y1f1/f8E9PDEfhL9jH4V6dHGIzdaWdQbjljqE0l1uPrkSj8MV/GhX9xn7MlmNP/Zu+FFio2i38J6FHj/dsIRQB7hRRRQB+Xv8AwV88PR61+xxfak8Yc6DremXqn+6XZ7TP5XBH41/Pf+w74u/4Qj9rr4T66X8tX160sXboAmok2bk+22Y59q/pe/4Kc2ou/wBhv4nRkZ2R6XIPby9UtG/pX8nvwevv7M+LfgjUs4+ya5psufTy7mNv6UAf3bUUUUAFFFFABRRRQAUUUUAFFFFAH4af8FCP+UhX7K//AGFNE/8AT5HX7l1+Gn/BQj/lIV+yv/2FNE/9PkdfuXQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXif7S3/JuPxV/7FTXP/SCavbK8T/aW/5Nx+Kv/Yqa5/6QTUAfxsfs2/8AJxPwt/7GrRP/AEuhr+5Ov4bP2bf+Tifhb/2NWif+l0Nf3J0AFFFFABRRWXrmt6T4a0a/8Ra/dx2GmaXBLdXVxK22OGCFS8kjk9FVQST6CgD4x/b7/artP2WPgfeaxpU6f8Jp4k8zT9BhOCVnK/vboqeqWykNyCC5RTw1fJP/AASa/ZTu/BnhG6/ae+I8DzeK/HMbf2X9py00Gmytva5Ytz5l43zbjz5QUg/vGFfHng7Tdf8A+Cp37b934t12GeL4TeCSh8lsqqaZFIfs9scdJ7+QM8uDlU34b92gr+lS2traytorOziSC3gRY4441CoiKMKqqOAABgAdBQB+Qn/Baz/k17wp/wBjjZ/+m7UK+BP+CKn/ACdN4q/7Ey+/9OOnV99/8FrP+TXvCn/Y42f/AKbtQr4E/wCCKn/J03ir/sTL7/046dQB/T7RRRQB+Vn/AAWG8X/8I7+yIdBR8P4p17T7EqDyY4RJek/QNbr+JFfgP+wp4Yj8X/tf/CfR5oxKkeu296ykZBFhm75Hp+65r9jP+C3t95fwt+GmmZ/1+s3c2P8ArjbBf/alfmj/AMErLMXX7cXgKVhn7LDrEv0/4llymf8Ax6gD+u2iiigAr+T7/grt4ej0X9svVdRSMIde0fS71iP4ikRtM/lbgfhX9YNfzG/8FrbUJ+0v4QvAMed4RtkJ9dl/en/2agD6e/4If+LvtPgj4o+A3fH9m6jp+pIp7/bYZIXI+n2Zc/UV+6lfzkf8EQb7y/iX8TtNz/r9IsZcf9crhl/9qV/RvQAUUUUAFFFFABRRRQAV+bv/AAVB/Zv1b4//ALO0mpeELRr3xR4EnbVbSCNS0tzbbCl3BGoyS7JiRVAyzRhRy1fpFRQB/DX8Avjv4/8A2b/idpvxQ+HlyIdQsCY54JcmC8tXI822nUYyj4HTBVgGUhlBH9bv7K/7Z3wd/au8Nx3ng6+XTfEsEYa/0G6kUXtsw4ZkHHnQ56SoMYIDBGyo/Pz9vf8A4Jf6T4+vNc+OnwOvbHw7rDJJeatpN46Wmn3TqC8txFcMRHbyt1cPiJm+Ysh3Fv51tG1vXvCWt2+ueHNRn0rVdOk3wXdnO0U0Ui8bo5YmBB9GU/jQB/fHXif7Qvx18F/s5/CnW/ij41uo4oNPiZbS3ZsSXt6ykwWsQ6l5GHYfKoZ2wqkj+ez4If8ABYv47/D7SxoXxV0a0+I1vBEUgupJP7P1AMBhPNmjSSOVRxkmIOeSXJrD8H+GP2mv+Cs/xQm1bxf4n07RPC3hmTDwJInlaZDPgkWunhzPK7gAedKQrEbTL8oQAHz9+yn8EvGf7bX7Ufn+Ike70+81KTXvFV7tIjWCWczTJuHCvcuTHGOo3FsbUbH9jSIkaLHGoVVAAAGAAOgArwr9nn9nP4Y/syeAIPh/8MrAwQZEt5eTEPd31xjBmuJABlv7qgBVHCgCvd6ACiiigAoor8KviL/wWr07w3q2seHPDHwqlur3Tbqe1E95qqxxFoXKFzHHbsxBI6bh9aAP2z8W+LPDngTwxqnjLxfqEWl6Lo1vJdXd1MdscUMQ3Mx7n2AyScAAkgV/Fb8dfiD4i/am/aR8S+ONB02e81Dxrqoj0yxiUyXDRDbb2cIUZy4iSNTjjOe1e1/GT9sX43/tseK9M8C/EjxhpfgXwjdXQ2WxE9to9u3VJbtoluJ5SMABn3KrHIEYLEfvB+wp+wb8FP2fNMs/ilo2uW/xE8V6nbkRa7CY5LGCKQYcaeqFwAw+VpS7OwyBsVmUgH09+yZ8EF/Z2/Z88HfCeVkk1DSrUyahIh3K9/dOZ7kq38SrI5VD/dVa+i6KKACiiigAoor4Y/4KH/tEn9nX9mrXdY0i6+z+J/E3/Em0cqcSJPcq3mzrjkeRCHdW6B9gP3qAPxS/a18c6z+3x+3donwX8EXbSeG9Jv8A/hH9Pkj+dFjjffqeoAcgjEbsCOGiiSv6dPCfhbQ/BHhfSPBvhm2Wy0jQ7SCytIV6RwW6CONfwUDnvX4C/wDBFP4IxahrnjP9oLV7fculquhaW7DIE8wWa8cejJH5SAjtIwr+hqgAooooAKKKKACiiigAooooAK/Gz/gtT41fR/2fvCPgi3lMcniPxAs0ig48y3sLeQspHcebLE31Ar9k6/nd/wCC4eqyy+L/AIT6IXPlW1jqtwE7Bp5bdCfxEQ/KgD5x/wCCPmgJrP7YUWosm46FoGpXqn+6XMVrn8pyPxr+qHVdV0vQ9OuNY1u8h0+wtEMk1xcSLFDEg6s7uQqgdyTiv5Tv+CX3xX8HfAbx18U/jL44lKad4c8GzYjQjzbiWa/sxFbxZ4Mksiqq9hnJwATWjqDftlf8FVfiNe3uiQHT/BmlzLGkMtw8GhaUh5UO2Cbi52nLsqPIc52pHtCgH7teI/8Agot+xV4WuDa6n8VNOmdSRmxhu9QTI/27SGVSPfOD2rqvAn7cP7JfxJ1CPSfCXxQ0eW9mx5cN3I+nvIT0VFvFhLN/sjJ9q/Nfwt/wRB8Dw6ev/Ca/E/Uby+ZBu/s+xhtokkI5A855mdQe/wApPoOlfB/7YX/BMf4m/szaHcfETwrqQ8b+CLY5urmOAwXlgrHAa4gDOGi5AMqNgHllQYyAf1gqyuodCGVhkEcgg9xTq/lh/wCCef8AwUH8WfA/xhpPwp+K+rzap8NNVkjs4muZN7aJI7BUmiduRbAnEsWdqr86AEMr/wBToIYBlOQehoAWvzh/4Kv6h9i/Yk8YW2cfb7zSIfri+hl/9p1+j1flT/wWL1D7F+yHHbZx9v8AEemw/XEc8v8A7ToA9g/4Jk2CaR+w18NFlwnmRancOx4GJdSunBP/AAEius+Iv/BQT9j74YXcuneI/iVYXV7CxR4NMWbU3V14Ks1mkqKR3DMMHjrxX4H6N8afj1+0/wDDb4bfsN/s2Wlxa6VpekRprcqOYBeSMTJcPdTD/VWMLSbdp/1r9QxMaV92/DT/AIIkeALXTUl+MPxB1PUdQcAtDoUcNnBGe6iW5juGkH+1sj/3aAPqaz/4KzfsVXV19nn8T6haJnHmy6TdlPriNHb/AMdr7W+Fvxt+Enxs0l9b+FHizT/E9rDt877HMrywF/uiaE4kiJxwJFUmvyg+I/8AwRQ+D2oaJM3wo8ba1ousqpMQ1YwX1m7AcKwhht5E3Hq4Z8dQh6V+H2sab8ev2KPjjNpv2q58I+NvDUqlZrWQmKeFsOjKfuT20y4yrAqwyrrkFQAf240V8bfsRfta6J+1v8I08VGKLTvFejOtprmnxMSsNwQSk0QbLeTOoLJnOCHTLFCx+yaACiiigArhfib8Q/Dnwm+HviH4leLZvI0jw3ZTXtwRjcyxLkImeru2EQd2IHeu6r8Gv+Cz37RJsdI8O/s0+HbrEupbNZ1wIf8AlhGxWzgbH96RWlZTyNkZ6GgD5q/YE8G+IP2zv239d/aG+JMX2qz8N3J8QXSnLxC9d9mmWqk/ww7NyZ/hgAPWv6eq/OT/AIJb/BGL4Qfsp6HrV7b+Vrfj9jrt2zD5vInAWyTPXb9nCyAdmkav0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L/v1f8A/wAi0f8ADwP9pb/o3nUv+/V//wDItAH67UV+RP8Aw8D/AGlv+jedS/79X/8A8i0f8PA/2lv+jedS/wC/V/8A/ItAH67UV+RP/DwP9pb/AKN51L/v1f8A/wAi0f8ADwP9pb/o3nUv+/V//wDItAH67UV+RP8Aw8D/AGlv+jedS/79X/8A8i0f8PA/2lv+jedS/wC/V/8A/ItAH67UV+RP/DwP9pb/AKN51L/v1f8A/wAi0f8ADwP9pb/o3nUv+/V//wDItAH67UV+RP8Aw8D/AGlv+jedS/79X/8A8i0f8PA/2lv+jedS/wC/V/8A/ItAH67UV+RP/DwP9pb/AKN51L/v1f8A/wAi0f8ADwP9pb/o3nUv+/V//wDItAH67UV+RP8Aw8D/AGlv+jedS/79X/8A8i0f8PA/2lv+jedS/wC/V/8A/ItAH67UV+RP/DwP9pb/AKN51L/v1f8A/wAi0f8ADwP9pb/o3nUv+/V//wDItAH67UV+RP8Aw8D/AGlv+jedS/79X/8A8i0f8PA/2lv+jedS/wC/V/8A/ItAH67UV+RP/DwP9pb/AKN51L/v1f8A/wAi0f8ADwP9pb/o3nUv+/V//wDItAH67UV+RP8Aw8D/AGlv+jedS/79X/8A8i0f8PA/2lv+jedS/wC/V/8A/ItAH67UV+RP/DwP9pb/AKN51L/v1f8A/wAi0f8ADwP9pb/o3nUv+/V//wDItAH67UV+RP8Aw8D/AGlv+jedS/79X/8A8i0f8PA/2lv+jedS/wC/V/8A/ItAH67UV+RP/DwP9pb/AKN51L/v1f8A/wAi0f8ADwP9pb/o3nUv+/V//wDItAH67UV+RP8Aw8D/AGlv+jedS/79X/8A8i0f8PA/2lv+jedS/wC/V/8A/ItAH67UV+RP/DwP9pb/AKN51L/v1f8A/wAi0f8ADwP9pb/o3nUv+/V//wDItAH67UV+RP8Aw8D/AGlv+jedS/79X/8A8i0f8PA/2lv+jedS/wC/V/8A/ItAH67UV+RP/DwP9pb/AKN51L/v1f8A/wAi0f8ADwP9pb/o3nUv+/V//wDItAH67UV+RP8Aw8D/AGlv+jedS/79X/8A8i0f8PA/2lv+jedS/wC/V/8A/ItAH67UV+RP/DwP9pb/AKN51L/v1f8A/wAi0f8ADwP9pb/o3nUv+/V//wDItAH67UV+RP8Aw8D/AGlv+jedS/79X/8A8i0f8PA/2lv+jedS/wC/V/8A/ItAH67UV+RP/DwP9pb/AKN51L/v1f8A/wAi0f8ADwP9pb/o3nUv+/V//wDItAH67UV+RP8Aw8D/AGlv+jedS/79X/8A8i0f8PA/2lv+jedS/wC/V/8A/ItAH67UV+RP/DwP9pb/AKN51L/v1f8A/wAi0f8ADwP9pb/o3nUv+/V//wDItAH67UV+RP8Aw8D/AGlv+jedS/79X/8A8i0f8PA/2lv+jedS/wC/V/8A/ItAH67UV+RP/DwP9pb/AKN51L/v1f8A/wAi0f8ADwP9pb/o3nUv+/V//wDItAH67UV+RP8Aw8D/AGlv+jedS/79X/8A8i0f8PA/2lv+jedS/wC/V/8A/ItAH67UV+RP/DwP9pb/AKN51L/v1f8A/wAi0f8ADwP9pb/o3nUv+/V//wDItAH67UV+RP8Aw8D/AGlv+jedS/79X/8A8i0f8PA/2lv+jedS/wC/V/8A/ItAH67UV+RP/DwP9pb/AKN51L/v1f8A/wAi0f8ADwP9pb/o3nUv+/V//wDItAH67UV+RP8Aw8D/AGlv+jedS/79X/8A8i0f8PA/2lv+jedS/wC/V/8A/ItAH67UV+RP/DwP9pb/AKN51L/v1f8A/wAi0f8ADwP9pb/o3nUv+/V//wDItAH67UV+RP8Aw8D/AGlv+jedS/79X/8A8i0f8PA/2lv+jedS/wC/V/8A/ItAH67UV+RP/DwP9pb/AKN51L/v1f8A/wAi09f+CgX7SxH/ACbvqh+kV/8A/ItAH650V+R3/DwH9pb/AKN21T/v3f8A/wAiUf8ADwH9pb/o3bVP+/d//wDIlAH640V+R3/DwH9pb/o3bVP+/d//APIlH/DwH9pb/o3bVP8Av3f/APyJQB+uNFfkd/w8B/aW/wCjdtU/793/AP8AIlH/AA8B/aW/6N21T/v3f/8AyJQB+uNFfkd/w8B/aW/6N21T/v3f/wDyJR/w8B/aW/6N21T/AL93/wD8iUAfrjX5c+GP+Uyfhv8A7Bc//pjuK5T/AIeA/tLf9G7ap/37v/8A5Er5tsf2h/inp37YGjftHWvwm1O48aQafIq+HwLjJDW01kQUFt5+fJJm6dOfu80Af1b0V+Gv/Dzz9rj/AKNf1X/vxqf/AMiUf8PPP2uP+jX9V/78an/8iUAfuVRX4a/8PPP2uP8Ao1/Vf+/Gp/8AyJR/w88/a4/6Nf1X/vxqf/yJQB+5VFfhr/w88/a4/wCjX9V/78an/wDIlH/Dzz9rj/o1/Vf+/Gp//IlAH7lUV+Gv/Dzz9rj/AKNf1X/vxqf/AMiUf8PPP2uP+jX9V/78an/8iUAfuVRX4a/8PPP2uP8Ao1/Vf+/Gp/8AyJR/w88/a4/6Nf1X/vxqf/yJQB+5VFfhr/w88/a4/wCjX9V/78an/wDIlH/Dzz9rj/o1/Vf+/Gp//IlAH7lUV+Gv/Dzz9rj/AKNf1X/vxqf/AMiUf8PPP2uP+jX9V/78an/8iUAfuVRX4a/8PPP2uP8Ao1/Vf+/Gp/8AyJR/w88/a4/6Nf1X/vxqf/yJQB+5VFfhr/w88/a4/wCjX9V/78an/wDIlH/Dzz9rj/o1/Vf+/Gp//IlAH7lUV+Gv/Dzz9rj/AKNf1X/vxqf/AMiUf8PPP2uP+jX9V/78an/8iUAfuVRX4a/8PPP2uP8Ao1/Vf+/Gp/8AyJR/w88/a4/6Nf1X/vxqf/yJQB+5VFfhr/w88/a4/wCjX9V/78an/wDIlH/Dzz9rj/o1/Vf+/Gp//IlAH7lUV+Gv/Dzz9rj/AKNf1X/vxqf/AMiUf8PPP2uP+jX9V/78an/8iUAfuVRX4a/8PPP2uP8Ao1/Vf+/Gp/8AyJR/w88/a4/6Nf1X/vxqf/yJQB+5VFfhr/w88/a4/wCjX9V/78an/wDIlH/Dzz9rj/o1/Vf+/Gp//IlAH7lUV+Gv/Dzz9rj/AKNf1X/vxqf/AMiUf8PPP2uP+jX9V/78an/8iUAfuVRX4a/8PPP2uP8Ao1/Vf+/Gp/8AyJR/w88/a4/6Nf1X/vxqf/yJQB+5VFfhr/w88/a4/wCjX9V/78an/wDIlH/Dzz9rj/o1/Vf+/Gp//IlAH7lUV+Gv/Dzz9rj/AKNf1X/vxqf/AMiUf8PPP2uP+jX9V/78an/8iUAfuVRX4a/8PPP2uP8Ao1/Vf+/Gp/8AyJR/w88/a4/6Nf1X/vxqf/yJQB+5VFfhr/w88/a4/wCjX9V/78an/wDIlH/Dzz9rj/o1/Vf+/Gp//IlAH7lUV+Gv/Dzz9rj/AKNf1X/vxqf/AMiUf8PPP2uP+jX9V/78an/8iUAfuVRX4a/8PPP2uP8Ao1/Vf+/Gp/8AyJR/w88/a4/6Nf1X/vxqf/yJQB+5VFfhr/w88/a4/wCjX9V/78an/wDIlH/Dzz9rj/o1/Vf+/Gp//IlAH7lUV+Gv/Dzz9rj/AKNf1X/vxqf/AMiUf8PPP2uP+jX9V/78an/8iUAfuVRX4a/8PPP2uP8Ao1/Vf+/Gp/8AyJR/w88/a4/6Nf1X/vxqf/yJQB+5VFfhr/w88/a4/wCjX9V/78an/wDIlH/Dzz9rj/o1/Vf+/Gp//IlAH7lUV+Gv/Dzz9rj/AKNf1X/vxqf/AMiUf8PPP2uP+jX9V/78an/8iUAfuVRX4a/8PPP2uP8Ao1/Vf+/Gp/8AyJR/w88/a4/6Nf1X/vxqf/yJQB+5VFfhr/w88/a4/wCjX9V/78an/wDIlH/Dzz9rj/o1/Vf+/Gp//IlAH7lUV+Gv/Dzz9rj/AKNf1X/vxqf/AMiUf8PPP2uP+jX9V/78an/8iUAfuVRX4a/8PPP2uP8Ao1/Vf+/Gp/8AyJR/w88/a4/6Nf1X/vxqf/yJQB+5VFfhr/w88/a4/wCjX9V/78an/wDIlH/Dzz9rj/o1/Vf+/Gp//IlAH7lUV+Gv/Dzz9rj/AKNf1X/vxqf/AMiUf8PPP2uP+jX9V/78an/8iUAfuVRX4a/8PPP2uP8Ao1/Vf+/Gp/8AyJR/w88/a4/6Nf1X/vxqf/yJQB+5VFfhr/w88/a4/wCjX9V/78an/wDIlH/Dzz9rj/o1/Vf+/Gp//IlAH7lUV+Gv/Dzz9rj/AKNf1X/vxqf/AMiUf8PPP2uP+jX9V/78an/8iUAfuVRX4a/8PPP2uP8Ao1/Vf+/Gp/8AyJR/w88/a4/6Nf1X/vxqf/yJQB+5VFfhr/w88/a4/wCjX9V/78an/wDIlH/Dzz9rj/o1/Vf+/Gp//IlAH7lUV+Gv/Dzz9rj/AKNf1X/vxqf/AMiUf8PPP2uP+jX9V/78an/8iUAfuVRX4a/8PPP2uP8Ao1/Vf+/Gp/8AyJR/w88/a4/6Nf1X/vxqf/yJQB+5VFfhr/w88/a4/wCjX9V/78an/wDIlH/Dzz9rj/o1/Vf+/Gp//IlAH7lUV+Gv/Dzz9rj/AKNf1X/vxqf/AMiUf8PPP2uP+jX9V/78an/8iUAfuVRX4a/8PPP2uP8Ao1/Vf+/Gp/8AyJR/w88/a4/6Nf1X/vxqf/yJQB+5VFfhr/w88/a4/wCjX9V/78an/wDIlH/Dzz9rj/o1/Vf+/Gp//IlAH7lUV+Gv/Dzz9rj/AKNf1X/vxqf/AMiUf8PPP2uP+jX9V/78an/8iUAfuVRX4a/8PPP2uP8Ao1/Vf+/Gp/8AyJR/w88/a4/6Nf1X/vxqf/yJQB+5VFfhr/w88/a4/wCjX9V/78an/wDIlH/Dzz9rj/o1/Vf+/Gp//IlAH7lUV+Gv/Dzz9rj/AKNf1X/vxqf/AMiUf8PPP2uP+jX9V/78an/8iUAfuVRX4a/8PPP2uP8Ao1/Vf+/Gp/8AyJR/w88/a4/6Nf1X/vxqf/yJQB+5VFfhr/w88/a4/wCjX9V/78an/wDIlH/Dzz9rj/o1/Vf+/Gp//IlAH7lUV+Gv/Dzz9rj/AKNf1X/vxqf/AMiUf8PPP2uP+jX9V/78an/8iUAfuVRX4a/8PPP2uP8Ao1/Vf+/Gp/8AyJR/w88/a4/6Nf1X/vxqf/yJQB+5VFfhr/w88/a4/wCjX9V/78an/wDIlH/Dzz9rj/o1/Vf+/Gp//IlAH7lUV+Gv/Dzz9rj/AKNf1X/vxqf/AMiUf8PPP2uP+jX9V/78an/8iUAfuVRX4a/8PPP2uP8Ao1/Vf+/Gp/8AyJR/w88/a4/6Nf1X/vxqf/yJQB+5VFfhr/w88/a4/wCjX9V/78an/wDIlH/Dzz9rj/o1/Vf+/Gp//IlAH7lUV+Gv/Dzz9rj/AKNf1X/vxqf/AMiUf8PPP2uP+jX9V/78an/8iUAfuVRX4a/8PPP2uP8Ao1/Vf+/Gp/8AyJR/w88/a4/6Nf1X/vxqf/yJQB+5VFfhr/w88/a4/wCjX9V/78an/wDIlH/Dzz9rj/o1/Vf+/Gp//IlAH7lUV+Gv/Dzz9rj/AKNf1X/vxqf/AMiUf8PPP2uP+jX9V/78an/8iUAfuVRX4a/8PPP2uP8Ao1/Vf+/Gp/8AyJR/w88/a4/6Nf1X/vxqf/yJQB+5VFfhr/w88/a4/wCjX9V/78an/wDIlH/Dzz9rj/o1/Vf+/Gp//IlAH7lUV+Gv/Dzz9rj/AKNf1X/vxqf/AMiUf8PPP2uP+jX9V/78an/8iUAfuVRX4a/8PPP2uP8Ao1/Vf+/Gp/8AyJR/w88/a4/6Nf1X/vxqf/yJQB+5VFfhr/w88/a4/wCjX9V/78an/wDIlH/Dzz9rj/o1/Vf+/Gp//IlAH7lUV+Gv/Dzz9rj/AKNf1X/vxqf/AMiUf8PPP2uP+jX9V/78an/8iUAfuVRX4a/8PPP2uP8Ao1/Vf+/Gp/8AyJR/w88/a4/6Nf1X/vxqf/yJQB+5VFfhr/w88/a4/wCjX9V/78an/wDIlH/Dzz9rj/o1/Vf+/Gp//IlAH7lUV+Gv/Dzz9rj/AKNf1X/vxqf/AMiUf8PPP2uP+jX9V/78an/8iUAfuVRX4a/8PPP2uP8Ao1/Vf+/Gp/8AyJR/w88/a4/6Nf1X/vxqf/yJQB+5VFfhr/w88/a4/wCjX9V/78an/wDIlH/Dzz9rj/o1/Vf+/Gp//IlAH7lUV+Gv/Dzz9rj/AKNf1X/vxqf/AMiUf8PPP2uP+jX9V/78an/8iUAfuVRX4a/8PPP2uP8Ao1/Vf+/Gp/8AyJR/w88/a4/6Nf1X/vxqf/yJQB+5VFfhr/w88/a4/wCjX9V/78an/wDIlH/Dzz9rj/o1/Vf+/Gp//IlAH7lUV+Gv/Dzz9rj/AKNf1X/vxqf/AMiUf8PPP2uP+jX9V/78an/8iUAfuVRX4a/8PPP2uP8Ao1/Vf+/Gp/8AyJR/w88/a4/6Nf1X/vxqf/yJQB+5VFfhr/w88/a4/wCjX9V/78an/wDIlH/Dzz9rj/o1/Vf+/Gp//IlAH7lUV+Gv/Dzz9rj/AKNf1X/vxqf/AMiUf8PPP2uP+jX9V/78an/8iUAfuVRX4a/8PPP2uP8Ao1/Vf+/Gp/8AyJR/w88/a4/6Nf1X/vxqf/yJQAn/AAUI/wCUhX7K/wD2FNE/9PkdfuXX8rX7Q/7Tfxe+K3x3+E3xk8YfB3U9A8S+C762k07R8XSG9azvIrqLKy23msJZT5Y2DscZNfbf/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVRX4a/wDDzz9rj/o1/Vf+/Gp//IlH/Dzz9rj/AKNf1X/vxqf/AMiUAfuVX49/8FrP+TYPCf8A2ONp/wCm+/rzn/h55+1x/wBGv6r/AN+NT/8AkSvkH9tX9rf43ftIfCvS/BvxQ+COqeCdN0/WoL+K623cXmzpbXMQizcWoXlZGbA5+X0zQB/SF8Hv+SSeCP8AsB6b/wCk0dejV+D2gf8ABRz9qXwloWm+FdG/Zu1PVNP0a2hsra8WHUSLmG3QRxzApalSHVQ3BI54OK1/+Hnn7XH/AEa/qv8A341P/wCRKAP3Kor8Nf8Ah55+1x/0a/qv/fjU/wD5Eo/4eeftcf8ARr+q/wDfjU//AJEoA/cqivw1/wCHnn7XH/Rr+q/9+NT/APkSj/h55+1x/wBGv6r/AN+NT/8AkSgD9yqK/DX/AIeeftcf9Gv6r/341P8A+RKP+Hnn7XH/AEa/qv8A341P/wCRKAP3Kor8Nf8Ah55+1x/0a/qv/fjU/wD5Eo/4eeftcf8ARr+q/wDfjU//AJEoA/cqivw1/wCHnn7XH/Rr+q/9+NT/APkSj/h55+1x/wBGv6r/AN+NT/8AkSgD9yqK/DX/AIeeftcf9Gv6r/341P8A+RKP+Hnn7XH/AEa/qv8A341P/wCRKAP3Kor8Nf8Ah55+1x/0a/qv/fjU/wD5Eo/4eeftcf8ARr+q/wDfjU//AJEoA/cqivw1/wCHnn7XH/Rr+q/9+NT/APkSj/h55+1x/wBGv6r/AN+NT/8AkSgD9yqK/DX/AIeeftcf9Gv6r/341P8A+RKP+Hnn7XH/AEa/qv8A341P/wCRKAP3Kor8Nf8Ah55+1x/0a/qv/fjU/wD5Eo/4eeftcf8ARr+q/wDfjU//AJEoA/cqivw1/wCHnn7XH/Rr+q/9+NT/APkSj/h55+1x/wBGv6r/AN+NT/8AkSgD9yqK/DX/AIeeftcf9Gv6r/341P8A+RKP+Hnn7XH/AEa/qv8A341P/wCRKAP3Kor8Nf8Ah55+1x/0a/qv/fjU/wD5Eo/4eeftcf8ARr+q/wDfjU//AJEoA/cqivw1/wCHnn7XH/Rr+q/9+NT/APkSj/h55+1x/wBGv6r/AN+NT/8AkSgD9yqK/DX/AIeeftcf9Gv6r/341P8A+RKP+Hnn7XH/AEa/qv8A341P/wCRKAP3Kor8Nf8Ah55+1x/0a/qv/fjU/wD5Eo/4eeftcf8ARr+q/wDfjU//AJEoA/cqivw1/wCHnn7XH/Rr+q/9+NT/APkSj/h55+1x/wBGv6r/AN+NT/8AkSgD9yqK/DX/AIeeftcf9Gv6r/341P8A+RKP+Hnn7XH/AEa/qv8A341P/wCRKAP3Kor8Nf8Ah55+1x/0a/qv/fjU/wD5Eo/4eeftcf8ARr+q/wDfjU//AJEoA/cqivw1/wCHnn7XH/Rr+q/9+NT/APkSj/h55+1x/wBGv6r/AN+NT/8AkSgD9yqK/DX/AIeeftcf9Gv6r/341P8A+RKP+Hnn7XH/AEa/qv8A341P/wCRKAP3Kor8Nf8Ah55+1x/0a/qv/fjU/wD5Eo/4eeftcf8ARr+q/wDfjU//AJEoA/cqivw1/wCHnn7XH/Rr+q/9+NT/APkSj/h55+1x/wBGv6r/AN+NT/8AkSgD9yqK/DX/AIeeftcf9Gv6r/341P8A+RKP+Hnn7XH/AEa/qv8A341P/wCRKAP3Kor8Nf8Ah55+1x/0a/qv/fjU/wD5Eo/4eeftcf8ARr+q/wDfjU//AJEoA/cqivw1/wCHnn7XH/Rr+q/9+NT/APkSj/h55+1x/wBGv6r/AN+NT/8AkSgD9yqK/DX/AIeeftcf9Gv6r/341P8A+RKP+Hnn7XH/AEa/qv8A341P/wCRKAP3Kor8Nf8Ah55+1x/0a/qv/fjU/wD5Eo/4eeftcf8ARr+q/wDfjU//AJEoA/cqivw1/wCHnn7XH/Rr+q/9+NT/APkSj/h55+1x/wBGv6r/AN+NT/8AkSgD9yqK/DX/AIeeftcf9Gv6r/341P8A+RKP+Hnn7XH/AEa/qv8A341P/wCRKAP3Kor8Nf8Ah55+1x/0a/qv/fjU/wD5Eo/4eeftcf8ARr+q/wDfjU//AJEoA/cqivw1/wCHnn7XH/Rr+q/9+NT/APkSj/h55+1x/wBGv6r/AN+NT/8AkSgD9yqK/DX/AIeeftcf9Gv6r/341P8A+RKP+Hnn7XH/AEa/qv8A341P/wCRKAP3Kor8Nf8Ah55+1x/0a/qv/fjU/wD5Eo/4eeftcf8ARr+q/wDfjU//AJEoA/cqivw1/wCHnn7XH/Rr+q/9+NT/APkSj/h55+1x/wBGv6r/AN+NT/8AkSgD9yqK/DX/AIeeftcf9Gv6r/341P8A+RKP+Hnn7XH/AEa/qv8A341P/wCRKAP3Kor8Nf8Ah55+1x/0a/qv/fjU/wD5Eo/4eeftcf8ARr+q/wDfjU//AJEoA/cqivw1/wCHnn7XH/Rr+q/9+NT/APkSj/h55+1x/wBGv6r/AN+NT/8AkSgD9yqK/DX/AIeeftcf9Gv6r/341P8A+RKP+Hnn7XH/AEa/qv8A341P/wCRKAP3Kor8Nf8Ah55+1x/0a/qv/fjU/wD5Eo/4eeftcf8ARr+q/wDfjU//AJEoA/cqivw1/wCHnn7XH/Rr+q/9+NT/APkSj/h55+1x/wBGv6r/AN+NT/8AkSgD9yqK/DX/AIeeftcf9Gv6r/341P8A+RKP+Hnn7XH/AEa/qv8A341P/wCRKAP3Kor8Nf8Ah55+1x/0a/qv/fjU/wD5Eo/4eeftcf8ARr+q/wDfjU//AJEoA/cqivw1/wCHnn7XH/Rr+q/9+NT/APkSj/h55+1x/wBGv6r/AN+NT/8AkSgD9yqK/DX/AIeeftcf9Gv6r/341P8A+RKP+Hnn7XH/AEa/qv8A341P/wCRKAP3Kor8Nf8Ah55+1x/0a/qv/fjU/wD5Eo/4eeftcf8ARr+q/wDfjU//AJEoA/cqivw1/wCHnn7XH/Rr+q/9+NT/APkSj/h55+1x/wBGv6r/AN+NT/8AkSgD9yqK/DX/AIeeftcf9Gv6r/341P8A+RKP+Hnn7XH/AEa/qv8A341P/wCRKAP3Kor8Nf8Ah55+1x/0a/qv/fjU/wD5Eo/4eeftcf8ARr+q/wDfjU//AJEoA/cqivw1/wCHnn7XH/Rr+q/9+NT/APkSj/h55+1x/wBGv6r/AN+NT/8AkSgD9yqK/DX/AIeeftcf9Gv6r/341P8A+RKP+Hnn7XH/AEa/qv8A341P/wCRKAP3Kor8Nf8Ah55+1x/0a/qv/fjU/wD5Eo/4eeftcf8ARr+q/wDfjU//AJEoA/cqivw1/wCHnn7XH/Rr+q/9+NT/APkSj/h55+1x/wBGv6r/AN+NT/8AkSgD9yqK/DX/AIeeftcf9Gv6r/341P8A+RKP+Hnn7XH/AEa/qv8A341P/wCRKAP3Kor8Nf8Ah55+1x/0a/qv/fjU/wD5Eo/4eeftcf8ARr+q/wDfjU//AJEoA/cqivw1/wCHnn7XH/Rr+q/9+NT/APkSj/h55+1x/wBGv6r/AN+NT/8AkSgD9yqK/DX/AIeeftcf9Gv6r/341P8A+RKP+Hnn7XH/AEa/qv8A341P/wCRKAP3Kor8Nf8Ah55+1x/0a/qv/fjU/wD5Eo/4eeftcf8ARr+q/wDfjU//AJEoA/cqivw1/wCHnn7XH/Rr+q/9+NT/APkSj/h55+1x/wBGv6r/AN+NT/8AkSgD9yqK/DX/AIeeftcf9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SgD+g6iiigD49/b/wDECeGf2NfivqLuIxNo72WScZN/IlqB+Jlx+Nfx6/DzwvL448f+GfBUAJk8QanZaeoHXddzpEMe+Wr+lb/gst8Rrbwz+zTpPgCObbfeNNahXys/etNPU3Erf8Bm8gf8Cr8jP+CW3wmPxQ/a98M391B5um+CYptfuSRwHtgEteegIuZImA6kKcdMgA/rliiigiSCFQkcahVUDACgYAH0r4o/4KNeEP8AhM/2Lvidp6JulsLGLU0OOV/s65iunI/7ZxsD7E19t1zvi/wxpXjfwnrXgzXo/O0zX7K50+6T+9BdRtFIPxVjQB/DB8LvEa+D/iZ4R8Ws/ljRNXsL4t02i2uElz+G2v7wAQwDKcg9DX8GXj/wZq3w58deIfAGvLs1Hw5qF1p1wMYHm2srRMR7Erke1f2f/shfE62+MP7M/wAOfHsM/wBonvNHtoLxs8/bbNfs10D/ANto3xntg0AfR9FFFAH833/BbzxAlz8V/ht4VDgtp2i3V6UzyBe3Plg49/s36Vn/APBErwj9v+NPj/xwybl0XQYrEHHCvqFykgP122rD6Zr5c/4Kh/Ea2+In7ZPjBbCbz7PwulrocTZ6PZx5uF/4DcvKv4V+xX/BHX4THwT+zTffES+g8u++IGpyzoxGCbGwzbQA9/8AWidge4YEepAP1qooooAKKKKACiiigAooooAKKKKAPw0/4KEf8pCv2V/+wpon/p8jr9y6/DT/AIKEf8pCv2V/+wpon/p8jr9y6ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAr+Wj9qDRP2pPid+2Xq/xR8ZfBDxR428MeFtYks9M01NH1H+z7nS9NndbdFmS3cNFcEedIVyJN7YIBGP6l6KAPxOX/goh+3CihV/ZI19VAwANP1fAH/gHTv8Ah4l+3F/0aTr/AP4Aax/8h1+19FAH4mv/AMFEf24SjA/sla+AQefsGr//ACHX82tf38Tf6p/90/yr+AgdaAP6TP8Ah4l+3F/0aTr/AP4Aax/8h19d/sh/tN/tAfHfxLr+kfGP4Mal8MLLS7SOe1ub62vYFupXk2tEpuoIlJVfmwpJ9q+9KKACiimSyxwxtNM4jjQFmZjgADqST0FAHF+Nvhn8OfiVZLpvxE8LaX4ntU+7HqdlDeKv+6JlbB9xXiKfsRfsiR3Qu1+EXhsuDnB0+Jkz/uEFce2MV9PW1zbXkCXVpKk8Mo3I6MGVh6gjgip6AOf8M+E/CvgvSk0Lwdo1loOmxHKWthbx2sCk9xHEqqOnpX4bf8FwvFqxaH8KfAkUgLXNzqepTIDyogSCGJiPfzZAPoa/emv5MP8AgrD8VLf4kftc6to2m3IuLDwPY22iKUOU+0JuuLn/AIEsszRt7pjsKAOl/wCCPvgC58VftaR+LvJ3WvgzR768aQj5VmulFlGv+8yzSEeymv6qq/Iv/gjx8D7z4efADVPilrlt9n1D4i3izW+4Yf8AsyxDR27EHkb5XmcdihRu4r9dKACivAf2ovjja/s4/Ajxb8Ybi1F/NodugtbZjhZry5lS3t0bBB2ebIpfHIQMRzX8tmlf8FJP2w9O+IifEK48fXV9/pAmk0qYL/ZckQbJg+zABUQj5dyYcDnfuGaAP7EaK5LwD4vsfiD4E8OePdMjaGz8S6bZ6nCj/eWK8hWZFb3AcA11tABX8b3/AAUZ8D2PgD9s74l6RpkYjtb69h1RQo2jfqVtFdy4A/6ayvX9kNfyD/8ABUfW7bW/23fiB9kcSR2C6ZaZHTfFp9v5g/4C5YH3FAH7i/8ABJf4m3/xC/ZD03SNUlM1x4J1K70RWb7xgQR3UA+iR3AjX2QDtX6Z1+Qf/BFzQrzTv2YPEWs3UbRpq/ii6eDIwHihtLWPeD3HmB1+q1+vlABRRRQAUUUUAFFFFABX8w3/AAWW+LV94p/aD0f4UQTn+y/A+mRSPEDx9u1ICaR2HT/UCALnpz/er+nmv4/f+Cn9veQftyfEo3vWVtKdD2MZ0u0C4+gGD7igD9yf+CTfwbtPhp+yrp/jCZFOr/EO5k1Wd8fMttGxgtYs9wEQyD0MrV+nNfNn7HC6ev7J3wfGmEGH/hFNHLY/56m0j83/AMibs19J0AFfKn7Xn7Kngr9q/wCFl34N16KO11+yWSfRNU2/vbK728AsBkwyEBZU6MuCMOqMPquigD+DO/svF/wp8fXGn3Xm6L4o8Iak0bbWxLa31hNjKsP4o5E4I7jIr+3f4GfEeL4v/BvwV8UI1WNvE+kWd9LGn3Y55olM0Y/3JNy/hX8pf/BTfT9L039uH4mQaSqpHJLps0iqAB58+m2skp47s7Fj7k1/SF/wT6sb3T/2MvhRBfrtlfSfNA/6ZzTSSRnn1RlNAH1X4m0j/hIPDeraCWCf2laT22T0HnRsmT+dfwUXlpcWF3PY3iGKe2do5EPVXQ4YH6EV/fnX8Vn7bfwvufhD+1T8SPB8qFLdtVm1C0OMA2mpH7XCAeh2pKEJHdSKAP62f2V9Ui1r9mX4TanC4kE/hTRCxH98WUSuPqGBB+le9V+c3/BK34k2vxA/Y58MaaJN994OuLzRboZ5BikM8PHp5E0Y+oNfozQAV4R+1LFDP+zJ8XIbniJ/CGvBj6D+z5sn8K93r5b/AG3PEEXhn9kX4u6lMQFm8N6hZDP96/iNqv6yigD+OD4YPcxfErwlJZDNwmr2Bj/3xcJt/Wv7w6/iH/ZN8HXXj79pr4X+FbRdxu/EOnPJxnEFvOs87Y/2YkY/hX9vFAH5Sf8ABYvwh/wkH7JUPiCNMv4X8QWF4zAciKdJbQj6F50/ECvwX/YL8SJ4U/bF+E+qSSCJZdbhstxOP+QgrWmPx83Ff1m/tO/ClPjf+z948+FvliS413S50tAegvYR51ox9lnjjP4V/Et4f1nVPB/ibTfEOn5g1HRLyG6i3AgpPbSB1yOoIZRQB/e/RXK+BfGGjfELwXoPjzw7J5ul+IrG21C2buYbqNZUz7gNgjseK6qgAr+T/wD4K7eIE1n9srVNOVw50HR9LsiAful4zdY/KfP41/WBX8Rf7WvxGtviz+0t8SPH9jN9osdT1q6W0lznfaW7fZ7dvxhjQ0AftF/wQ/8ACP2XwL8UfHjp/wAhLUtP01GI6fYYZJnAPv8Aalz+FfulXwp/wTd+Ex+Ef7IXgmwu4PI1LxJE+v3gI2kvqJDw7h1BW2EKkHnK/hX3XQAUUUUAFFFFABRRRQAV/Pd/wXE8O3Caz8JvFqjME1vq1i5x914nt5UB/wB4O2P901/QjX5Vf8Ff/hfc+OP2Vl8Yaehe48CarbahIAMk2lwGtJQB14eWNyewUk0Afm5/wRW1SK1/aa8U6ZK4U33hS6KA/wATxXtm2B77Sx/A1/TxX8dH/BN/4k2vwy/bG+H+pajJ5djrVxLosxzgZ1KNoIcn0E7Rk57Cv7F6ACiiigD+Yr/gtZFCv7TfhKZf9a/hC1DD2XUL7af1P5V9Yf8ABEF7k/DX4nRuP9HXV7Ep/vm3ff8AoFr4i/4LHeIItZ/a6g02MjdoXhvTrJ8f3nluLrn8JxX6Uf8ABGLwddaH+zLrviq7XaPEviG4eDj70FpBDAGz/wBdRIPwoA/Tb4u+I/FHg/4V+MPFfgjSn1zxDpGkX13p1hHG8z3V5DAzwxLHGC7l3AG1RuboOa/mD/Zxl/az+BXxo1j49+I/2dvFnj/xhqYuHjutQ0jVITBcXjFrm4Gy1bMsikoDwFVmAHPH9YFFAH4of8PEv24v+jSdf/8AADWP/kOj/h4l+3F/0aTr/wD4Aax/8h1+19FAH83X7X37Zv7VPxZ/Z48VeAPiT+zvq/gTw5qhsPtWs3VnqUUNr5F7BNHue4to4x5kiLGNzDlgBk4B/Nv9kL4i+OfhP+0R4T8f/DbwjceOvEel/b/sujWsc0s1159jPBJtS3SSQ+XG7SHapwFJOBkj+mb/AIKlf8mLfEn/AHtG/wDTvZ1+A3/BLj/k+v4Z/wDcZ/8ATPe0Afqb/wAPEv24v+jSdf8A/ADWP/kOv0n/AGX/AIr/ABH+M3wrh8bfFTwLdfDvXpLu4gbSryKeGVYoiAku25jjkw+Tg7cccGvoiigD+W7/AILL+HbjSv2qtL1thmDW/DdlKrY43wz3ELL9QFU/Qivpj/ghtqkXkfGLRXcCUNoVwidypF6jkfQ7c/UV0n/Bbb4X3OoeDvh58YbJC0ejXdzo14QMkLeqJ7dj6KrQyLnplwPr8ef8EdPiTa+EP2o7vwXfybIvG+jXNpACcA3doVu0z/2yjmA9yKAP6mKKKKACv5Cv+CpsUMX7c3xEMPWRNHZx6N/ZVoP5AGv69a/jd/4KN+IIvE37a/xT1GEgrDf29lx/esLOC1b9YjQB+7v/AASBe5f9jq0WcfImuamIv9zMZP8A48Wr9Ra+Bf8AgmN4OuvBv7FngCK+XZcawt5qhGMYS7upHhP4w7G/GvvqgAooooAKKKKACiiigAr8pP8AgsX4Q/4SD9kqHxBGmX8L+ILC8ZgORFOktoR9C86fiBX6t14T+078KU+N/wCz948+FvliS413S50tAegvYR51ox9lnjjP4UAfyZfsF+JE8Kfti/CfVJJBEsutw2W4nH/IQVrTH4+biv7Q6/gg8P6zqng/xNpviHT8wajol5DdRbgQUntpA65HUEMor+7XwL4w0b4heC9B8eeHZPN0vxFY22oWzdzDdRrKmfcBsEdjxQB1VFFFAH8n/wDwV28QJrP7ZWqacrhzoOj6XZEA/dLxm6x+U+fxr7u/4If+EfsvgX4o+PHT/kJalp+moxHT7DDJM4B9/tS5/Cvxd/a1+I1t8Wf2lviR4/sZvtFjqetXS2kuc77S3b7Pbt+MMaGv6if+CbvwmPwj/ZC8E2F3B5GpeJIn1+8BG0l9RIeHcOoK2whUg85X8KAPo/4/eEP+E/8AgZ8QvBKp5kmueH9Ts4xjJ82a2kWMj3DkEe4r+F+v7/K/i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eFfLdVQDiWJmOB8461+vX7L/wC2X8G/2s9NvZvhtJfW+p6THHJf6ff2zRS2wlJCEypvgcMQduyQtgZKiv5TP2z4RB+1p8X0AxnxTqrf993Lt/Wv6vf2K/h74L+Hn7L/AMN7bwZpEGlLrOgaXql60S/Pc3t7aRSzzyucs7szHqflXCrhQAAD6mrG8R+IdG8JeH9S8U+I7tLDStHtpry7uJDhIYIEMkjt7KoJNbNfif8A8Fiv2mR4Q8Aab+zj4Wu9ur+Lgt7rBjb5odMhf91E2OQbiZc/7kbAjD0AfWv7JP8AwUN+Dv7Vmo3nhSzjfwp4tgklNvpV9Krte2qElZbaQBQ7bBukixuTnG9AXr77r+I39mz9nv46fH7x3bad8DtPn/tDSpYriTVRK1rbaaytlJZLof6tgRlAmZDg7FJBr+xv4JeHvip4V+GmjaB8Z/Elr4t8V2Ufl3OpWlsbZJgPu7lLHe4HDSBU3ddgOSQD1eiiigAooooAKKKKAPwF/bi/bm/aG/Za/bI1DSvA+rxah4XfTNNnbRNRhE1mxeM72QrsljZiCSUkGT94MABX1V+zp/wVk/Z/+MM1l4c+IiS/DnxLdMkSreN5+mzSscAR3iKNmT/z2SMDoGY1+Vf/AAWNt/J/a7hk/wCe/hvTn/KW4T/2WvrP/gjl+zh8KPE3gnV/2hfE2kjVvFmka9PpenNc4kt7JILa2nE0MRGPPLTkeY2SoUbNp3FgD98aKKKACis3WNZ0fw7pdzrfiC+g0zTrJDJPc3UqwwRIOrPI5CqB6k4q5b3EF3BHdWsizQzKHR0IZXVhkMpHBBHIIoAmr4X/AOChH7QnxE/Zk+Bth8T/AIaLZyajHrtlazxX0JmgltZY5mdCFZGGWRfmVgQM4NfdFflz/wAFfoRL+x1dv/zx1zTG/MyL/WgDiP2f/wDgsJ8DviF9m0T4zWE3w71mTCG6y15pUjdM+ai+bDk9njKKOsnev1i8OeJvDnjDRrbxF4T1W11rSrxd8F3ZTJcQSr6pJGWVh9DX8XP7H3wCsP2mfj94d+EOratJothqYuZ7i5gjWSYQ2kLzukYY7QzhNoY5C53FWxtP9hHwW+CHw0/Z98C23w7+FejppGkQMZZOS81zcMqq888jfNJKwUAsegAVQFAAAPWaKKKACiiigAooooAK+Lv27f2k/F/7KvwZsfil4N0uy1i4Ot2djcW995nltbTxzM+xomUrJlFCsdwGTlTX2jX5d/8ABX2Dzv2Ob2TGfI1zTH/NnX/2agCz+z//AMFW/wBmv4w/ZtH8a3L/AA28QTYUw6s4awdz2jv1AjA95lh9s1+mVne2eo2kN/p88d1bXCCSKWJg8bowyGVlJBBHQg4r+JL9lj4B3X7TPxw8P/B211ZNDXV/PkmvHjMxihtYWnk2Rgjc5VCFBYDJ5OK/sJ/Z++AHw/8A2a/hvZ/DH4cx3H9nW7tPLNdzNNPcXEgAklcnCqW2j5Y1VB2Uc5APbaKKa6h0ZD0YEce9ADqK/ke/Zo/4KR/tAfs03yeFtau28d+D7WQxPpepzMZoFU4P2S7O6SLpwjB4x2QE5r9F/wDh+B8PP+iXar/4MIP/AI3QB+5VFfhr/wAPwPh5/wBEu1X/AMGEH/xuj/h+B8PP+iXar/4MIP8A43QB+5VFfhr/AMPwPh5/0S7Vf/BhB/8AG6/Mz9pf/goX8Z/jh8Y9L+JPg3U7zwPpvhVs6FY2lwd1uWAEss7ABZpJujhlKbP3eCNxYA/r9or8vv8Agnp+3zq/7Vlrd+BfHfhye08XaBarNcanZQMdLuo8hQ0hGRbTsefLJ2vhihGNg/UGgAooooAKKKKACvlf9or9sX4Nfst634S0f4tTX1oni9rkQ3VtatcQWyWvl73n2nftzIoAjSRupKgc19UV4J+0h+zt4B/ac+F+ofDPx5BtSb97Y3qKDcWF4oIjuIie4zhlzh0JU8GgD0zwN8QPBHxN8OW3i74e67Z+IdGux+7urKZZoye6kqTtcZ+ZWwynggGuvr+L+/v/ANo//gn38eNX8MaJrdx4e1/SJVEhgJew1O0b5oZGikBjmhkU5G9cocj5XU4/fz9in/gph4B/aSlsvh58RIofCHxFlASKEMRp+puP+fR3JKSH/ng5JP8AAz8hQD9RKKKKACiiviD/AIKFfH9P2fP2Y/Eut6fdfZ/EfiNDoukbTiQXN4pV5l7gwQiSQHpuVQeooA/LiX/gr3438CftMeOLfV7GLxb8KW1ea1sbeERxXlra2pFuJ7WYACQS7POMcuQS2FePmv29+B/7Qnwj/aK8KJ4v+E2vw6vbKFFxB/q7u0kYf6u4gb5424OCRtbGVZhzX8Q3hzw5r3i/XrDwv4X0+fVdX1SZLe1tbZDJNNLIcKiKuSSTX9Nv7An/AATYf9nm+0/4w/FPWbl/HjRNs03T7p4bGySVcNFcPER9rfH3gT5IPRZMK9AH660UUUAFFFFABRRRQAUUUUAfAX7e37S3xs/ZX8LeF/iV8OvCun+JPCi35g8QNdmbzoUkwLdUMRAiWViy+cwcK+xSp3AHuP2Wv24fgj+1ZpqweD786T4phj33Wg37Kl5GAPmeEg7Z4h/fj5AxvVCQK+nfG3gzw38RfCGseBfGFkmo6LrtrLaXcDjh4pVKnB7MOqsOVIBGCBX8W/x9+Enjf9kr9oDWPAkeoXFnqXhq7W50rU7d2gmktn/eWtzG6YKuUI3bT8rhlz8tAH9uFFfj3/wTk/4KK3Xx8uIPgh8aJETx7DC76fqKqsaavHAu6RJEXCpcogLnaAsihiApUhv2EoAKKKKAPzv/AOClX7UOv/szfAq2u/AOoLp3jXxRqENppsuxJWhigInupvLlVkYBFWI5BwZQcV5L+xp/wVM+H3xw+w/D/wCNJtvBnjmTbFFcFtml6lIeB5buT5ErH/llIdrHARySEH5A/wDBTn9oZPjv+0vqenaJdfaPDHgNW0XTyjZjkmjbN5OvY75soGHDJGhrb/Yj/wCCcPjz9qFoPHfjSWbwp8N0fi8CD7XqRQ4ZLJHBAQYIadgUB4VXIYKAf1m0VyHgDwRovw28F6P4D8OPcvpmh26Wtuby5lu5/LTpvmmZnb25wowqgKAB19ABRRRQAUUUUAFFFFABRXnnw8+LHw3+LFnf33w58RWmvR6VdS2V4LeTMltcQuUaOaM4dDlTjco3D5lypBr0OgAooooAKKa7pGjSSMFVQSSTgADqSa8X8W/tI/s++BN6+MfiT4d0iWPrFPqlqs3HYReZvJ9gtAHtVFfnP44/4Kq/sYeDfMjs/Fd14nuI85i0nT55Mn2lnWCFvwkIr418ff8ABb7w3AskHwu+GN3eMc7LjWb2O2C+hMFus+76CZfrQB+8Vc/4n8WeFvBWkTeIPGWsWehaZb8yXV/cR20Cf70krKo/Ov5UPiT/AMFY/wBsHx8stto+tWHgu0lyDHo1kok29h510biVT7oy/h0r4F8Y/ED4gfEvVhq/j3xFqXifUnJAm1C6mu5fm7KZWYgew4oA/qW8Y/8ABWD9lDw18QdG8DaPqd14itb67S2vtYtIiunWCOdvmtJLtaZVYgsYlZduWDEgKf0ut7iC7gjurWRZoZlDo6EMrqwyGUjggjkEV/CZo/wh+LHiFVbQPBWt6mH+6bbTbmYH6bIzX9IX/BLT4rfHdPCMnwA+OfgjxHpKeHLfztC1fU9Lu7eBrJGCmykmmjVQ0JYGHJ5jynHlqGAP12ooooAKKK/FT9tD9or9rL9i39ouP4qwXK+L/g94wW3gh0m4XZbWk1vEFlt1lUF4Lh8PMknKyBiGR/LIUA/auivl/wDZk/a6+Dv7Vfhg6z8OtS8nVrRFbUNGuiqX9kTxlkBIeMnhZUJQ9CQ2VH1BQAUUUUAFRyyxQRPPO6xxxqWZmICqoGSSTwAB1NSV+Wv/AAVX/adX4KfAmT4a+G7vyvFvxGSWyTY37y30wDF5NxyC4YQp0zvZlOUNAHw1bf8ABYfxh4Y/aQ8W3eoWKeJ/hDd6gYLC1iRIb21tLfEK3NtJxvMwXzmimJBLbVePk1+6nwY+Onwt/aB8HQ+OPhTrsOtac+FlVTtuLWUjJiuIWw8Ug9GHI5UlSCf40/2cv2fvHH7THxV0r4XeBots12fNvLx1LQ2NmhHm3MuP4VBAUZBdyqDlhX9Zf7MH7EvwQ/ZPhuLv4d2t3d6/qFuLa91W/uGluJ49wfZ5a7IUTcoICxg+rN1oA+vKKK8F+Mv7TfwR+AGo+HNJ+K/ieDQ7vxTci2s43yxAJwZ5doPlQK2FaV8KCeT1wAe9UVHFLFPEk8DiSOQBlZSCrKRkEEcEEVJQAUUUUAFFFFABRWfqeraVotq19rN7DYWyfeluJFiQfVnIFfO/jL9sz9lPwEHHiX4q+H45YvvQ219HezrjsYrUyyA+22gD6Yor8r/HX/BYL9kbwsJE8Mya14xlGQhsLA28RP8AtNfNbsB7hCfaviX4i/8ABbrxverJbfCj4b2Gk9QtzrF3LfMR/e8mAW4U+xkcfyoA/oqr5h+Ov7Y/7O37O1rcf8LI8X2qarApK6RZMLvU5G7L9njOU3dmlKJ6sK/l4+IX7dP7ZPx7vRoN3421QR3pKR6XoCGxWQYJKbLMLLKMZJDs/Fcd4V/Yq/a58euJ9F+FXiF/tB3Ca9s3sUctzu8y88pTn1zQB94fEn/gsl8YtX+LOj+Ifhro8GieBNGnzLo90EmuNViPyv8AabgAmI7eYxDwjcsZQMV+/wB8A/j18Pf2j/hvp3xM+HF79osbsbJ7d8C4srlQDJb3CAnbImR6hlIZSVYE/wA0nhj/AIJF/tl6+EOqaTpHhvd1/tDVIn2/X7GLn9M1+jf7GH/BPj9qr9lL4j2/jC3+IegNot+Y4ta0iAXlxBe2wPYvFCFmjBJikxlTkHKMykA/aiiiigAooooA/Nz/AIKjfF74nfBD9nzQvHXwn16fw7rUPiexhaeAI++Bra7ZopEkVkdC6oSrKQcDNfDnwB/4LS3Ef2bQv2kPCvmrwh1nQhhvTdNZSNg+rNFIP9mPtX1d/wAFjIPO/ZEhk/54+I9Of84rhf8A2avw/wD+Cc/wp8C/GT9rDwr4O+I2mrrGiLFe3slpISIppLSBpY1lA+8m8Ash4YDDZUkEA/rk+HfxB8J/FbwTpHxE8C3jahoGuw+faXDQywGSPJXPlzKjryD1UZ6jjBrtKhtra3s7eK0tIlgggVUjjRQqIijCqqjgADgAdKmoAK898d/Fn4Y/C99Ji+I3irTfDTa7P9msRqF1HbfaJRjKp5hGcZGT0GQCRkZ9Cr47/bb/AGU9D/aw+Dd34UKx2/irRxJeaBevx5N2F5hduohuAAknYfK+CUAoA+wkdJEWSNgysAQQcgg9CDTq/kd/Zl/b9/aA/Y+8Qv8ADvxWk/iLwrpFy9ne+H9TdlnsHhcpKlpM2WgZGBBjIaLOfkBO4f06/AP9oT4YftJ+Arf4g/C7U/tlmxEdzbSgJd2VxjLQXEWTscdiCVYfMjMpBoA9tpr79jeXjfg4z0z2zTqKAPxS8J/8FWfEfwt+KOs/Br9szwOvhvVdIvXt5NS0MSSQRIxzG720rNI8RQh1lidi6kERc1+vngL4heB/ij4YtPGfw71y08Q6JejMV1ZyrLGSOqtjlXXOGRgGU8EA1+V3/BWz9lO2+J3wr/4X94TtP+Kq8BQH7eI1+a70fduk3erWpJlB7RmTOflx+E37Kn7VXxH/AGVviNZ+K/CN9JLolzLGur6S7t9lvrbOGDJ0WVVJMUoG5D6qWVgD+1uiq9nd29/aQX1m4lguUWSNx0ZHGVI+oNcu/wAQ/AEbtHJ4l0xWUkEG9hBBHUEbqAOworjf+FjfD7/oZ9L/APA2D/4uj/hY3w+/6GfS/wDwNg/+LoA7KiuN/wCFjfD7/oZ9L/8AA2D/AOLr4q/bh/bp8Lfsx/DCDUvA15pviPxrrs4g0yz80XECJGQ09xcCF1by0UhQAylnZccBiAD9B6K+If2PP26Phb+1roC22nOugeOLKIPf6FPIDIAOGmtXOPPgz1IAZOA6jKlvt6gAooooAKKKKAPx3/4KG/tFftb/ALJvxR8L/FLwJf2mp/C3VIRZSaZc2SNAl+mXeO4mXE4aVBvhdZFA2uu35Tv+i/2SP+Ch/wAGf2pxB4aVj4S8dFMtot7IrC4KjLNZT4VZwByVIWQAE7No3V9J/tEfBfQP2g/g14o+E3iBVEeuWjLbTMMm2vI/ntpx3zHKFY46rlTwTX8R97aeJPAPiy4sJmm0jX/Dt68TGNzHNbXdpIVO11IKvHIvBByCMigD+9qivl79iz4p+JvjT+y58PfiT4yYSa3qti8d3LgL50tnPJamYgYAMvleYQABljgAYFfUNABRRRQB86/tZfFrxN8Cf2efGXxa8H2tre6v4cggnhhvVd7dw9zFE4cRvG33HbGGGDg+1fEn7PX/AAV0+AXxR+zaF8WIZPhtr0uE8y5f7RpUjnj5bpQDFnqfORVUceYxr6g/4KBQC4/Yz+K8Z5xpBf8A74ljb+lfyHfCH4dXvxd+KPhX4X6beR6fc+KdSttOjuJVLRwm4kCb2VeSFznA69MjrQB/dNpWraVr2m2+s6Hew6jYXiCSC4tpFmhlQ9GR0JVgexBxWhXzj+y/+zH4C/ZU+G0Xw88DTXN6ZpPtN/e3UhaS6uioVpBHnZEuBhUQAAdSzZY/R1ABRRRQAUUUUAFFFFABX84fxK/4KmfFL4UftlePZNDlTxR8M7PURpf9izNtQLp6i3lns5wCYnklR3zhkcNyp+Vh+2v7V/xmg+AH7Pfjb4pGRUvdLsHj08H+PULkiC1GO4ErqzY/hBPQV/EtBBqGr6hHbW6S3t9eyhERQ0ksssjYAAGWZmY8DkkmgD+239nj9p74P/tO+Eh4p+FusLcyQqv23Tp8RX9i7fwzw5JAJyFdS0bYO1jg4+g6/Lj/AIJ7/wDBPzRv2a9Fsfin8QQ938T9UtSJEWVhb6VBcKN1qqqdssuP9bI2QD8seACz/qPQAUUUUAFFFFABRXx58d/28P2ZP2e4ri28YeLYdT1uDI/sjSCt9f7x/A6o3lwn/rs8ftX4P/tP/wDBV/42fGiK88KfC2Nvh14VuA0bm2l8zVbmM8HzLoAeUCP4YQpHIMjigD+m3w38Sfh/4x17XfC/hTxFYavq/hiRIdUtbW4SaWzkkBKrMqElSdpGD0IIPIIrtq/h5/Z1/aE8e/s0/FPTfil4FuC1xbny720kYiG/tHIMtvNjqGxkNyUcK45Ar+yT4DfHLwJ+0T8MtJ+KXw9uvP0/UV2ywuR59ncoB5ttOo+7JGTz2YEMpKspIB7FRRRQAUUUUAFFFFABRRRQAV+QkX/BW74eeDfjV41+EHxs8LXWg2/hnXtR0mDV9PY3sLxWdy8KSXFuQsqZVASY/NyTwoFfr3X8UX7a1uLX9rj4vRjjPibU3/7+Ts/9aAP7E/hl8Y/hZ8ZtEHiL4WeKbDxNY4G9rOZXeIt0WaLiSJv9mRVb2r0qvxE/4JW/sPaN4U8O6D+1X4x1Fr7XdbtpJNFsrd3SCztpd0bST42+bK4BwhzGg5+Z8FP27oAKKKKACivx0/4KzfteH4WfD9P2f/Al95fivxpAW1OWFsPZaSxKsuR917ogoPSMP03Ia8C/4J3f8FMzbf2Z8B/2kdVzD8lto3iK6f7n8KW1/Ix+70Ec7dOBIcfOAD+giikBDAEHIPeloAKKKKACiiigD8Z1/wCCtOi/Dr4/+PPg78dvDJtdG8Pa/qGm2Ws6QGkZLa2uHiiN1ayMWY7AC7xNn0ir9V/hr8V/hv8AGLw3F4t+F/iOy8SaTLgedZyh/LYjOyVOHifHVHVWHcV/HV+29ALf9rv4uxjv4k1B/wDvuUt/Wv1u/wCCT/7Fms6Ra6V+1Z4t164s4dTilGj6VYXLxJPDuaJpb8xkB13AlIDkZAZ/7tAH70UUUUAFfPf7V3xQ1X4L/s5fED4naBKkGq6Hpcr2UkiLIiXcpEMDFGyrYkdTg8Hoa+hK/Jv/AILGfERfCv7LFr4Kgm23PjXWrS2ePOC1rZBruRvcLLHCD/vCgDzf9mL/AILDeAPGn2Twp+0dp6eDtYfbGNYs1eXSpm6Zlj+aW2JPf94nUsyDiv2X0TXdE8TaTa6/4c1C31XTL5BLb3VrKk8E0Z6NHIhKsD6gkV/DR8FvhL4p+OvxS8OfCbwaE/tXxHciCN5d3lQoql5ZpNoJ2RRqztgE4U4BNf1zfsc/sdeGf2QvBd14f0jxDqPiLUtWKS381zK8dn5qA821kGMcI55Y7pG7vgBQAfY1FFFABRRRQAUUUUAFFFFABRX5Mf8ABSbxv+118DNT8K/tBfBHxCw8D6BH9l1fSRbrLAk80nE94h5lglBWIHKmFgCjAyEjuf2QP+CmHwl/aSaz8GeMBH4I8fy7UWyuJc2d/J0/0OdsfMx6Qvh+cKZME0AfpdRRRQAV+Dv/AAUK/bX+Pf7L37W+lWXw01mOTQW8OWM9zo19EJ7CeV7m6DOV+WSNyqqC0boxAAJI4r94q/lX/wCCxV0lx+16kSnJtvDumxt7EyTv/JhQB+pv7Of/AAVr+AXxZ+y6B8U1Pw18RS4TdeSebpUrnj5LwAeVnqROqKvTexr9UbG/sdUs4NR0y4ju7S5RZIpoXEkciMMqyspIYEcgg4NfyN/8E6v2PPDf7W3xK1m28c6jcWfhrwjBb3V5BagLNeNcOyxwCU/6pTsYswBbAwu0ncv9YfgfwP4R+GvhPTPAvgTSoNF0HR4vJtLS3XbHEmSx65JZmJZmJLMxLMSSSQDq6KKKACiiigAooooAKKKKACiiigAooooA+Z/2v/jzZ/s3/s++K/ic0qLqkFubTSY3wfN1K6BjtwFP3gjZlcf3EavxY/Y4/wCCt3iTwhJZ/D/9qGWbxBohIjh8RIpk1C1B4H2tF5uYx3dR5oGciUkAeQ/8FYP2pIvjP8ZY/hN4SvPO8KfDt5YJGjbMd1q7fLcyccMsIHkoezCQg4evN/8Agn/+wne/tceJ9Q13xfNd6P8ADzw+fLu7u12pPd3bAMtrbvIrqCqnfK21tqlRjLggA/rD8J+LvC/jzw7Y+LvBeq22t6LqcYltru0lWaGVD3VlJHB4I6ggggEGuirxr4HfAH4V/s6eDz4H+EukHSNMll+0TB55biSecqFaWR5WY7iFHAwo6AAcV7LQAUUV+WP7Tf8AwVH+Gn7P3xq0j4U6Xph8VW9jPs8UXdtIM6eGGBDbj7stxGTvlUkKoHl53lvLAP1OorlvBPjbwp8R/CmmeOPA+pw6zoWswrPa3UDbkkjb8iGByrKwDKwKsAQQOpoAKKKKACiiigAooooAK/GT9sP/AIKXeK/2ZP2rbf4caJpNr4j8JaVpdodasnPlXQvLotPuguBnYy27REK6srZPAJDD9k7y7tbC0nv72VYLe2RpJZHOFREG5mJPQADJNfw1/tA/E+f40fG3xt8U5y2zxJqtzdQK33ktS5W3jP8AuQhF/CgD+w39nb9q74KftP8Ah/8Atj4Xa4s17Age80q5xDqNnnj97Bk5XPAkQtGTwGJyK+j6/BL/AIJz/wDBN1bWx8HftPfFDXr2zvblItU0fSNOlks2SJ/mhku7hCsjLKmG8lNoKkB2YFkr97aACiiigD8iv+Ckf7Yvxp/ZL+I3wzvvhxPaXGjazaai1/pl9brLBdPBJAATIu2ZGVXwpSQDnkN0rsf2dP8Agq7+zx8ZPsuhfECU/DXxJNhfL1KQPpsrn/nlfAKq/wDbdYvQFq+Lv+C5G3+3fg//AHvs2t5+m+zxXhv/AAST/Zn+Fnx38feMfF/xQ0v+3IfAaaZJZ2MxBs5J75rj57iPH70ILf5UY7Dk7lbgAA/qDiliniSeB1kjkUMrKQVZSMggjggjoakpkcccUaxRKERAFVVGAAOAAB2FPoAKKKhiubedpUglWRoG2SBWBKPgNtbHQ4YHB7EHvQBNRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFcxpvjXwhrHiTV/Bula1Z3evaB5J1CwjnRrq1FwiyxGaIHegdGDKSMEHiunr+Uv/gpL4y8Z/Cz/goF4m8ceANZutA1uG20iaG7s5WilXFhAhBI+8rBMMrZVhwQRxQB/VpRX863wv8A+CyXxqj8J21h4p+FUXjfVrP93PqdhcS2SzYHymSCO2nRZCOW2sqnsijivRP+HyHxM/6N7uv/AAZ3H/yvoA/eWivwa/4fIfEz/o3u6/8ABncf/K+j/h8h8TP+je7r/wAGdx/8r6AP3lor8Gv+HyHxM/6N7uv/AAZ3H/yvo/4fIfEz/o3u6/8ABncf/K+gD9lPib8a/hT8Gl0ST4peJrPw0niO8FhYvdsUSW4KlsFgCEQAfNI5WNSVDMCyg+nRyRzRrNCwdHAZWU5BB5BBHUGv4w/2z/2ofiJ+1N8UIPFnjfSJPDFlptoltpujM7utpE3zSvudIy7zSAsz7F4CryEBr6+/4Jq/tlftG+G/H+hfALSdKuviP4Tv3WNbAv8A6RpFvkB7iC4f5Y4IgctHIfL7IUZskA/qBooooAKKKKACiiigArkvH3iK58IeBfEfiyzgW6uNF028vY4XJVZHtoWlVCRyAxXBIrra4z4j2ovvh54osTz9o0u9j/77gcf1oA/PT9mT/gqh8BPjj9k8OePZV+HPi2bagg1CUHTriQ8fuLwhVUk9EmCHJCqXPNfoV/wsj4d/9DTpX/gdB/8AF1/B7bRCe4ihJwJHVc/U4r+kX/hyN8G/+iia/wD9+bX/AOIoA/X3/hZHw7/6GnSv/A6D/wCLo/4WR8O/+hp0r/wOg/8Ai6/IL/hyN8G/+iia/wD9+bX/AOIo/wCHI3wb/wCiia//AN+bX/4igD9ff+FkfDv/AKGnSv8AwOg/+Lo/4WR8O/8AoadK/wDA6D/4uvyC/wCHI3wb/wCiia//AN+bX/4ij/hyN8G/+iia/wD9+bX/AOIoA/X3/hZHw7/6GnSv/A6D/wCLo/4WR8O/+hp0r/wOg/8Ai6/IL/hyN8G/+iia/wD9+bX/AOIo/wCHI3wb/wCiia//AN+bX/4igDwf43f8FdPHnhf9qC8m+FCWmu/C/QD/AGa9jMqquqtG58+8juFUyRMWysJBZCgDMhLED9kf2av2s/g5+1P4X/t34bapt1G2RWv9IutseoWTHj95GCdyE8LKhZD0zuyo/jm+NHgey+GPxh8c/DbTbmS8tPCmu6lpUM8oAkljsbmSBXcLwGYICccZ6V/Tn/wTR/ZC+G/wb+EPhv41Qg6v418eaPa30t9MuPsdrfRpOLS3TJCgAr5j/edh2XCgA/T6iiigAooooA8n+NXxr+H/AOz/AOArn4lfE28lsdCtJ7e3klhgkuHD3MgjT5IwxwCck+g4ycA9V4F8feC/ib4Ys/Gfw/1q11/RL9d0N3ZyCWNvVSRyrL0ZWAZTwQDxVjxn4N8M/EPwpqvgjxnp8Wq6Jrdu9rd20wykkUgwR6gjqrAgqQCCCAa/lZ8fT/H3/glt+0tqeh/DnWJm8O37Le2UV2DLYavprsQi3MQ2qZosGJ3TY6sCUKq4yAf1mUV8WfsfftvfC/8Aa48Nn+xmGh+MtPiD6loU8gaWMZAM1u+B50BJA3AAqSA6rld32nQAUUV4N+0b+0H4S/Zm+HafE7xxZ3d5o639pYzfYlR5YhdMV83a7LuVMZIByewoA95orgfhp8Ufh98YvCVp45+Geu23iDRL0fJcWz52sACY5EOHjkXPzI4DL3ArvunJoAKK8K+IH7Tv7PHwsEi+P/iLoejzxZ3W0l9E91x1xbxlpj+CGvhv4hf8Fhv2UPCYlh8ILrPjW4XIRrKy+y25I/vSXjQyAe4ib6UAfqzXKeNvHfgz4b+HLrxd4+1q00DRrJS0t1ezLDEvGQAWIyxx8qjLMeACa/nH+K3/AAWj+OHiaOew+FHhbS/BUEmQtzcs2qXqejKXEUAPs0Lj+dflr8TvjN8WfjZra658U/FOoeKL5SRF9rmZ0i3HlYYhiOJSf4Y1Ue1AH9iX7OH7XHwZ/ang8QzfCm/nmfw3d/Z7iG7i+zzPE3+quo4yxbyJcMELBWBUhlU4B+m6/jD/AGX/ABB+0f8As7/EnSPjZ8PfBWu3tlZt5V9Gmn3RtL6xkI863kkWMrhgAVbna4VwCVr+wn4d+OtF+JvgbRPH/h5J49P121juoo7mJoJ494+aOWNuVdGyrDpkHBIwSAdnRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAeXfGz4naZ8GPhH4u+KmrbWg8M6bcXgRjgSzIh8mLPrLKVQe7Cv5lv2ZP8Agqd8d/gvrb2XxMupviL4Tvrh5p4L2Um/tjKxZ2tLlskAE5EMmY+MJ5eSa+9v+C0Px7/sLwL4a/Z40W423fiaQavqqqeRY2jlbaNh/dluAXHvB71+H/7NfwC8V/tLfGDQ/hT4UBja/fzb2727ksrGIgz3D9vlU4UEjc5VM5YUAf2GfAT9pX4O/tK+Fx4o+E+vR6iIgv2qykxFfWTt/DcW5O5ecgMMo2DsZhzXvFfNP7Pv7IvwF/Zks3X4VeG47XVLiHyLnVbljc6jcRkqzK878qjMqsY4wkZIB25Ar6WoAKKKKACiiigAooooAKKybvX9CsNWsNBvtStrfU9UErWlrJMiT3IgAaUxRkhnEYIL7QdoIJxWtQAUUUUAFFFFABRRRQAUUUUAfnl/wUa8bftNfCr4UaV8Wv2d9YSxtfCl4Z/EFr9khunnsnCqkh81XxFE2fNCYba4fcBGTXjv7H3/AAVW+H3xwvrH4ffGW2g8EeM7orFb3KuRpN/KeAiPIxa3kY8LHIzKx4WQsQlfq9q+kaZr+k3ug61bR3unalBJbXMEq7o5YZlKSI4PVWUkEehr+Jz9q74H3P7Ovx+8X/Clw7WOmXZl06Rzky6fcgTWrFu7CNgrkfxqw7UAf26UV+Xf/BKH9oPxZ8bf2fbzw/45uZNR1fwFeLpq3szF5biykjElv5rHkvGN0e45JVVJJbJP6iUAFFFFABRRRQAUUUUAFFFFAHiHxw/aJ+E/7Oml6Jrfxc1dtG07Xr8adBcCCWdEmaN5d0nlKzKgCYLYOCRnjJHpnhPxh4U8eaFbeKPBOsWmvaReDdDd2M6XEDjvh4yVyO4zkd65n4t/CPwB8cfAepfDf4laWmraJqa4ZG4kikH3JoX6xyoeVccjpyCQf5Zfi54S/aT/AOCY/wAcpbL4feKL2x0XVGa50u+TDWWq2iEDZdW7AwvNFkLIrLlSQyEKysQD+uOivye/Yz/4KkeAfj7e2Pw5+LVvB4L8dXRWG2kVz/ZmpSngLC7ktBKx4WKRiGOAjsxC1+sNABRRRQAUUUUAfBsv/BRf9nPQvjd4m+BHxE1CfwbrPh29+xre6igGnXR2K24XCFhD97rMEXGDuycD7k03U9N1rT7fVtHu4b6xu0EkM8EiyxSo3RkdCVYHsQcV/HR/wUYgFv8AtrfFSMDGdQgf/vu0gb+tfbn/AASM+Fv7SGveKW+IWg+Lr/wx8KNJuSl7abxLb6vdKAWt4reUNGuAR5twFDqDtRtxJQA/pJooooAKKKKACiiigAooooA8Y/aL+Ieu/CX4FeO/iZ4Ygt7nVfDGkXV/bR3Ss8DSQIWAkVGRivHIDA+9fnh+zp/wV6+CPxL+y+H/AIzWrfDrXpMJ9pdjcaRK54yJwN8GTziVdijrKa+6f2wYBcfso/GGMjOPCWtv/wB8WUrf0r+LjwP4Vu/HXjXw/wCCbCZLe58Q6haadFLLny45LuVYVZtuTtBbJwM4oA/vD0jWNI8QaZba1oN9BqWn3iCSC5tpVmhlQ9GSRCVZT2IJFaNfNP7Kv7MPgv8AZR+F8Hw68I3VxqU00n2rUL64Y7rq7ZQrOsWSkKYACovQD5izZY/S1AGH4m8Q6X4R8N6t4s1x2i07RbSe9uXVS7LBbRtLIQq5LEKpwBya4b4RfG74VfHfwwni/wCE/iS18Q6cdok8hsTW7sMhJ4WCyQv/ALLqCRyOOatfGi2+2/B3x3Z4z5+g6pHj/etZB/Wv4j/hl8SfiP8ACrxdZ+Kvhbr134e12Ngkc9pL5ZcMR+7kU/JIjHG5HBQ9waAP7u6K/BkeJf8AguABj/hH7U/h4c/+PUv/AAkv/BcD/oXrX8vDn/x6gD95aK/Br/hJf+C4H/QvWv5eHP8A49Sf8JL/AMFwP+hftfy8Of8Ax6gD9Z/HX7UXwM+GvxT8OfBnxn4qttO8V+KB/ots5JVN3EQnkHywmZvliDkbzwO1e/1/Bf458S+LvF/jHWPE3j3UJ9U8RX91JJfXNw++WSfdhssOMDGAF+UAALgACv6hf+CWnxh/aL+JfwhfTPjPoF5JoejxxpofiW8OyXUYPu+SyviSbygPluACrD5WJdSWAP1LooooAKKKKACiignHJoAyLbX9BvdXvPD9nqVtPqmnLG91aRzI1xAkwJjaWIHegcAlSwGe1a9fxmftDftOeNNb/bB8b/Hr4XeIrvRrttUkh0y9s5TGzWNmFtoMgfK0ckUSsyMCrZIYHmv3P/4J2/t7/Ez9p6ebwJ8RvBVxPf6TCWm8TabFs0wlVyqXaMQsM0mPlERYOc4jjUE0AfrJXx5+3v8AFDx/8GP2VfGPxN+GWpf2T4h0OTS3guDDFOFWbUbaCRTHMroQySFTleh4wea+w6+Ff+Cl0H2n9h/4oR+lvp7/APfGpWrf0oA+Af2f/wDgtHpV39m0H9pDwubCU4Q6zoamSE9t01nIxdR3ZonfJ6RgV+zvwt+Mfwt+Nfh4eKfhT4msvE2mjaHe0lDPCzDISaI4khcjnbIqtjtX8T/wQ8E6Z8S/jR4C+HOtyywad4p1/S9KuZICqzJDe3UcEjRlgyhwrkqSpGeoPSv7U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1AH7y0V+DX/AA+W+IP/AEb5df8Ag1n/APldR/w+W+IP/Rvl1/4NZ/8A5XUAfvFJJHFG0srBEQFmZjgADkkk9AK5XwT498FfEnQI/FXw/wBcs/EOjzPJEl3YzJPCXiYq670JGVIwRX81H7WX/BT74zfGz4XTfDnSPAs/wz0zV3MOp3f2qW4mu7dl/wCPVJGt7cRo+D5mMl1G3IXcG+Of2Sv2t/iv+yr47j1bwI7apo+pyxpqWhSsxt79c7RtABMc4ziOVQWB4IZSVIB/aVRXM+DPEU/i7wjo3im50m70KXVrSG6ewv0Ed3atMgcwzoCQsiZwwzwa6agAr+Sr/grNF5f7a3ih/wDnpp+kt/5KRr/Sv61a/k4/4K4ps/bO1pv7+k6Uf/IGP6UAfvL/AME+tC0O6/Y0+Flxc6dbyyvpjFneFGYn7RL1JGTX2R/wjXh3/oFWn/fiP/Cvkz/gnn/yZf8ACn/sFt/6US19mEgDJ4AoA/Az/gtL8UNG0XRfBHwI8P29vb3eoyPr2o+VGiOIId1vaISoztkczMR6xqfp8Qf8E0f2QNP/AGm/izda/wCPrBrr4f8Ag1Flv4yWRL27lz9ntNykHbwZJNp+6oU48wGvFf2sfiTrf7VX7W/iXWfCUcmrf21qsejaDBF8xmt4GFraCMdvOI8zH95zX9Vn7Jn7PWi/sx/A3w/8LdN2S38CfatVukH/AB9alOAZ5M4BKggRx55EaKDyKAPfND0LRfDOkWnh/wAOWEGl6Xp8aw29raxLDBDGvCpHGgCqo7ADFatFct438aeGvh14Q1jx34xvU07RNCtZbu7uHPCRRLuOB1LHoqjlmIABJAoA/OX/AIKoftQ/8KN+Bj/Dzwxd+V4v+IqS2URRsSWumgYu5+OVLKwhQ8HLsynKGv5xP2Y/2f8AxP8AtM/GTQ/hT4aDQpev51/dhdy2VhEQZ7hu3yg7UBxukZVz81aX7SXxy8ZftZfHjVPH93bzzTazcJY6NpsYMr29oH2WtrGq53Od2W2j55WYgfNiv6bf+CfP7HFj+yn8KlufEMMcvxB8UpHcazOMN9nUDMVjGw42Q5+cg4eTJyVCYANf9qH9jrwp8Tf2Q5v2f/h9p0VjL4UtIZ/DSHH7u8sVOxWc/wAVwpeORz1Mhc5Nfmv/AMEqf205/DGpR/sl/GG6a1jMzxeHLi7JRre53HzNMlL4xufJgBwQ+6PndGo/oQr+Z/8A4KzfskXHwx+IK/tJ+AbZo/Dvi65H9qrCCPsOsN83nZH3UusF89pQ2SN6CgD+mCivxv8A+Ccv/BRfT/i7p+mfAz43aiLbx5aosGm6lOwCayijCxux6XYHHP8AruoO8kH9kKACiiigAoornfFPi/wn4H0eTxD411qy8P6XEyo93qFzFaW6s5wqmWVlQFjwATyelAHRUV4b/wANPfs1f9FZ8I/+D6w/+PUf8NPfs1f9FZ8I/wDg+sP/AI9QB7lRXhv/AA09+zV/0Vnwj/4PrD/49R/w09+zV/0Vnwj/AOD6w/8Aj1AHy9/wVXh839h/x0//ADyuNHb89St1/rX4F/8ABMX/AJPm+GP/AF01X/01Xdftf/wUl+OnwP8AGv7GHxA8OeEPiH4d13V7ltJMFnYatZ3VzL5eqWjvsiilZ22oGY4BwoJPANfif/wTF/5Pm+GP/XTVf/TVd0Af2EUUUUAfxGfteJ5f7VnxiX18X66f++r6Y/1r+sn9hz/k0L4R/wDYu2P/AKBX8oH7ZC7P2sfjAP8Aqa9YP53chr+mD9jb9oT4B+HP2V/hboXiH4leGdL1Kx0GziuLW61mygnhkVMMkkbyhlYdwQCKAP0Jorw3/hp79mr/AKKz4R/8H1h/8eo/4ae/Zq/6Kz4R/wDB9Yf/AB6gD3Kivx7/AG/P+Ck/hH4YeDf+Ff8A7O/iOx8ReM/EELb9U024ivLXSbZsqZBLEzI1y3IjTJ2ffb+AN4b/AME1v+CjdzfXOn/s9ftC6w89zO4h0HXr2Us8jscLZXcrkksTxDKxyf8AVsfuUAfvtRRRQAUUUE45NAH56/8ABTH9oX/hQ37M2sWukXPkeJvHO7RNO2nEkaToftc47jy4Nyhh92R0NfzBfs3fAbxV+0n8YdB+E/hVTG+pSeZeXW3cllYxEGe4fthF4UEjc5VM5YV9Ef8ABRj9pR/2lP2i9Q/4R64N14T8Il9H0VYzuSbY/wDpFyoHU3Eo+UjrGsY6iv3c/wCCbH7Hy/sz/CQeJvGFoI/iD41jiuNRDj57G1+9BZD0K53zY6yHaciNTQB94/DzwD4X+FvgfRPh34LtBY6J4ftY7S1iHUJGMbmP8Tucs7HlmJY8muyor4L/AG/P2xbj9kH4d6BrXh6ytNW8TeItTSC2s7suI2s7fEl5IdjKwwpSNTk7WkViGAIIB9n+MfB3hb4g+F9S8F+NdMg1nQ9XhaC7tLhd8csbdiOoIOCrAgqQCCCAa8Y8Ffsifsv/AA9RV8J/C7w/ayIMCaWwiurjHp59wJJf/Hq5f9lb9sv4Q/tY+Gvt/gq7/s7xFZxhtR0O6dReWp4BZegmhycLKgxyAwRjtH1pQBzFn4J8GadH5Wn6Dp9qn92K1iQfkqirv/CNeHf+gVaf9+I/8K2qKAMGXQPC9vE88+m2cccalmZoYwqqBkkkjAAHU1/IH+3/APtK2X7SHx2vr7wmscPgvwxv07RViQIs0at++uyABk3DjK55EYjBGQc/rp/wVn/bIHw88JN+zZ8Pb7b4l8T24bXJ4m+ay0yUcW+R92S6H3h1EOcj94pH5MfsEfsdar+1j8VUi1eOW28BeG2juNbu1ypkBOY7OJv+es+Dkj7iBm67QwB9ff8ABMv/AIJ8aH8XrF/jv8eNIN74S3GPRNMmLxpqEsbYe6lClS0CEFETOJG3bvlXD/0c6HoOh+GNJtdA8Nadb6Tpligjt7W0iSCCFB0VI4wqqPYCpNG0bSvDukWWgaFaRWGm6bDHbW1vCoSKGGJQiRoo4CqoAAHQVpUAFFFFABRRRQBy3izxz4J8BWdvqPjnxBp/h20vJ1toJtSu4bSOWdwWWJGmZQzkKSFByQCccGupr8Bf+C0HxVtbLxf8JPhrHKWGlvP4gvoU5Yq0iQWxAJAziO4Az617x/w+s/Ze/wChU8Y/+AWnf/LCgD9gGVXUo4DKwwQeQQa/jh/4KC/s7L+zh+0nr3h3SLb7P4Y8Qf8AE40YKMIlrdM2+BccAQSh4wOuwIT96v2e/wCH1n7L3/QqeMf/AAC07/5YV8n/ALWX7df7CX7XfhPTvD/jnwz460zUNEmabT9TsrPS/tEHmgCWMiS/ZWjkCruU45VSCMcgHr//AAQ9j8SDwP8AFaW6kc6A2o6YtohJ2C8WGY3RA6ZMZt898AZ7V+6dfgx8BP8Agpt+w/8As4/DPTfhZ8OPBfjWLTLAvJJNPaaa9zdXEvMk87rfqGkfAHAACgKoCqAPZf8Ah9Z+y9/0KnjH/wAAtO/+WFAH4W/twrs/a8+Lg/6mO/P5yE1/XB+y9/ybR8JP+xR0H/03w1/HF+0f8SNE+MHx28c/FDw1BcWul+JtUuL62iu1RLhI5WyBIsbyKG9QrsPev3G+Df8AwV7/AGcPh58IfA3gDWvDHiyfUPDOhaZplzJb2lg0LzWVrHBI0Ze+RihZCVLKpIxkA8UAfqz+0V8ffBP7Nfwp1f4p+OJh5Fivl2lqrATX144Pk20Wf4nIyTghUDOeFNfzLfAn9nP44f8ABSL45698UPGFzJp+gXl952ta2yHyohxssrFWyHkSIKiLkrEgVnP3Q/YftXftgfAf9rL47+EfEXjW88ZW/wAKvD9mRLokFhYJd/ai+ZDE328x4uF2h5WO9AgVUOdy/f3gj/grp+xh8N/CuneCPAvw+8VaJoWkxCG1tLaw05Y40HP/AEEMlmOSzMSzMSzEkk0AfrB8Ifg98PPgV4EsPhz8MtJj0jRrAZ2rzLNKQA808h+aSV8fMzc9AMKAB6bX4+/8PrP2Xv8AoVPGP/gFp3/ywo/4fWfsvf8AQqeMf/ALTv8A5YUAfsAzKil3IVVGSTwABWbout6L4k0q213w7f2+qabep5kF1aypPBKh43JJGSrD3BIr+bz9tf8A4KsQ/G34e/8ACr/gFp+reGdN1lXTWr3UVhgvJYDx9lgFvNMFjkH+tYuGYfJgKW3eA/sB/t9+If2WfEMfgnxtJNq3wx1abNxbjMkumSyH5rq1X+73liHDj5l+f7wB/WrRWF4Y8T+HvGnh7T/FnhPUIdW0fVoUuLW6t3EkU0UgyrKw6j9QeDzW7QAUUUUAfy3/APBZxAv7WOjsP4/Cmnn/AMm70f0r9Fv+CK//ACat4m/7HG+/9N+n1+dv/BZ//k67Q/8AsUrD/wBLb6vb/wDglP8AtkfAH4K/C/V/g78VfEB8M6vqniC41O2ubqJhYPFPa2sCq1wm4RMGgYsZQiAEfOSSAAf0O0Vm6RrOkeINMtta0C+g1LT7xBJBc20qzQyoejJIhKsD6g4rSoA/P7/gqD4tTwn+xT49USbLjWjYabD/ALRnvIjIP+/KyV/Nn+z5+2t+0R+zTPFB8PPE0k2ho259F1HN3prgnJCxMwaIk9WhaNj3Jr9jv+C3Hj5dP+GHw7+GMUmJNb1a51WRQefL06DyVDezNd5HqV9q/Oj/AIJWfBSD4uftU6ZrOsWi3eieBLaXWblZFDRvOuIbRDnI3CZxKB3EZoA/o/8A2UvjX8Qfj38KrTx78RPh9d/D69uSBFBcyB0vIioIuYUYLMkbfwiVAcYKs6/MfmD/AIK5Ju/Yx1pv7mraUf8AyPj+tfptX5o/8Fa1z+xb4hPpqelH/wAmVFAH4of8En/+T2vCH/Xlq/8A6QzV/W7X8kX/AASf/wCT2vCH/Xlq/wD6QzV/W7QAUUUUAFFFFABRRRQAV+Z3/BW5N/7F+vN/c1TSj/5MAf1r9Ma/Nb/grOM/sVeJj6ajpP8A6VpQB+JH/BKL/k9zwb/16av/AOkE1f1wV/I//wAEov8Ak9zwb/16av8A+kE1f05/tAftAfDn9mz4c33xJ+JN99ntLf8Ad21tHg3N9ckEpb26Ejc7Y5PCquWYhQTQB7bRXxz+x9+2h8Of2vfCE+peH4/7D8T6X/yE9DmmEs1upOEljfannQt0DhRhvlYA4z9jUAfwXeNYVg8ca9bgYEeo3SY9hMwr+7f/AIRrw7/0CrT/AL8R/wCFfwo/EBxJ8RPEki9G1W8I/Gd6/vIoAxf+Ea8O/wDQKtP+/Ef+FH/CNeHf+gVaf9+I/wDCtqigDF/4Rrw7/wBAq0/78R/4V/HD/wAFAIILX9sn4qQW0axRJqoCogCqB5EfQDgV/ZxX8Zn/AAUH/wCTzvit/wBhYf8AoiOgD+n/APYX8I+F/CX7JvwuXwxpdvpn9raBpuoXhgjCNcXl1bRvNPKRy7ux5ZiTjAHAAH1pXzF+xXMJ/wBkn4QuDnHhjS1/74t1X+lfTtABRRRQAUVVvb6y021kvtRuI7W2iwXllcIignAyzEAcnFc3/wALA8B/9DJpv/gZD/8AF0AddRXI/wDCwPAf/Qyab/4GQ/8AxdH/AAsDwH/0Mmm/+BkP/wAXQB+dn/BUb9lKx+OvwUuviZ4cs93jf4fW8t3A0a/Pd6anz3Vs2OW2LuliHJDAqo/eGv5SYJ57WeO5tpGhmhYOjoSrKynIZSOQQeQRX947ePfALqUfxHpjKwwQbyEgg/8AAq/jH/a4+GOk/Cz9pjx54B8J+VNo8OptNpi2rCWIWl8FubeKNkJB8tJRHxzlSOtAH9O//BOD4++Jv2hv2YdJ8S+NZmvPEGgXk+iXt233rp7RI5I5m9XaGWPzG/icM3fFfeNfBH7BXw88J/s2fs1+HvAniHxDpkfiK/eTVtWQXsBEd5eBcxZDkEwxLHExBILISDgivsn/AIWB4D/6GTTf/AyH/wCLoA66v5R/+CnHx91H9o/9pmP4ZeBPN1bRfBMp0TTYLUGU3mqTOq3TxquS7NKFgTbncIwV+9X7a/t7/teeHvgH+z7q+o+Ctctbrxh4jzpekLazpLJBLMp8y6IQkqII8spIx5mwHg18S/8ABLX9lXwF4C0mz/aW+Luq6afFWsRGTQrK4uoS2n2ky/8AH1IGbIuJ1PyDqkZ5+ZyEAPqj/gnv+wRo37MXhiHx/wCP7eK/+J+swDznO2RNJgkHNrbtyPMI4mlHU/Ip2Al/01rkf+FgeA/+hk03/wADIf8A4umv8Q/AESNJL4m0xEQEsxvYAAB1JO+gDrJpobeF7i4dYoolLO7EKqqoySSeAAOpp6srqHQgqwyCOQQa/mT/AOCjP/BRm5+Mtzf/AAP+B9+8HgOBzFqepxEq+sup5jjPUWgP4zHk/JgN6n/wTQ/4KKf2I2l/s5fHrU/+JaxS28Pa1cv/AMe5Pyx2N07H/VHpDIT8nCN8m0oAf0NUUUUAFFfNP7U/xm+JXwF+GsvxK+H/AMPx8QrbSy0mqWyX7WdxbWoXJuEQW85lRD/rAMFF+bBUMV/Iv/h+VqH/AERqL/wft/8AINAH9BVFfgPY/wDBbHxTqn/IM+BbXf8A1x1qST/0HTzWn/w+W+IP/Rvl1/4NZ/8A5XUAfvLX4ef8Fp/gnDrHgDwl8e9Ltgb7w7c/2PqMij5msrzL27Of7sU4ZR7zflzv/D5b4g/9G+XX/g1n/wDldXnvxX/4Kj6n8Z/h1r3wu8d/s53d1ofiG2NvcKmrzLIvIZJI2OmkLJG6q6HBwyg4PSgD8/8A/gnd4W17xX+2T8M4NAjd203Uf7RuXXOI7W0jaSVnI6BgNnPUsF71/ZPX8qf7KH7XGgfsi22rT+Bf2ftV1fXNbwlzqmpau73P2dTuW3jEeloscefmYAZdsFiQqBfsf/h8t8Qf+jfLr/waz/8AyuoA/eWvg/8A4KIftORfs0/s+and6Pd+T4x8WCTStEVTiSOSRf390O4FvGdwPI8wxg/er4K/4fLfEH/o3y6/8Gs//wArq/N/9o39ozxx+1F8eNH+KXxP+HepS+FNESCCDw1bzzxL9mj+eWM3n2YkNPLkySCINswgI2qwAPef+CdX/BPK9+P+oWvxm+MNrJbfDmymLWtq+Uk1uaJsFQeCtqrDEjjlyCiH7zL/AFA6fp9hpNhb6XpdtHZ2VnGkMEEKCOKKKMBUREUAKqgAAAYA4Ffgpo//AAV/8WeHtJs9B0L9nGXT9O06GO3treDUpY4oYYlCoiIunAKqqAABwBWj/wAPlviD/wBG+XX/AINZ/wD5XUAfvLUU88NtDJc3MixQxKXd3IVVVRkkk8AAckmvwf8A+Hy3xB/6N8uv/BrP/wDK6vlX9rH/AIKK/H/9pPwGPht4b8B3vw/0O93DVRbyT3lxfx8bYTL9ng8uHrvQKS/AJ25VgD9X/Cv/AAVL/Z58U/tE3HwRgmNvojlbWx8TySqLC71DcVaIAgbIWOFinLbXbPAQq7fphX8FP/CF+Mf+gFf/APgLL/8AE1+/X/BNn9uvxoH0n9nX9oG01Bw5jtPD+u3EEpIJwsdleOV6dFhlPThHONpAB+7lFFFABRRRQB/EjqnxW+I/wQ/aL8Y+Mfhdr914d1mz13U0Ets+FkQXcmY5Y2yksZI5R1ZT3FfrBoP/AAUA/wCCm3jfw7pt74M+BqXtreW0UkeqReHNWkiuldQVmik88QFXB3DbleeOK/Gn49R+T8c/iLD/AHPEerr+V5KK/sY/Y/8A+TUvg9/2KOif+kUVAH49XPxZ/wCC03i7I0fwrcaEJO0elaZBjPvf7yPzrnLr4Gf8FmviBk+IPFGq6IsvXZ4hsrAYP+zps2R9MfhX9GlFAH81Fz/wSi/bl+ITCT4ifEPSZ0cguNS1nUb+TPrj7PIpP/A69A8Of8EO/EM21/FvxatbTH3ksdJe4z7B5biHH12H6V/QvRQB+MPhz/gib8BLPa3irxx4k1Rl6i1NpZox9w0E5x9G/Gve/Dn/AASd/Yq0Io1/4WvteZO99qt2Mn1ItngU/TGPav0jooA+YPDP7FX7JfhDYdF+E3hwtH917qwivZAfUPdCVs++c173oPg3wh4VjEXhjQ7HR0Axts7aK3GPTEarXSUUAFFFFABRRRQAV5R8b/g74Q+Pnwu1/wCFPjeHzNM1yAxiRQDJbTr80NxFnpJE4DL2OMHKkg+r0UAfw++INP8Ai5+yD8etT0XTtTn8PeM/A9+8KXlqxTeo5SRQ3DwzxFW2uCro2GBBIr+oX9gr9t3RP2ufA89lrUcOlfEHw7Gn9q2MZxHPGcKt5bAnPlO3DrkmN8AkhkLfnl/wWt+CEVvd+C/2hNItgv2rdoOquq4zIoaeydsdSVEyFj2VF9BXxH/wSn1TWtP/AG3fBNrpLutvqVtq1vfBc7Wtl0+eYB8fwiaKMjPG4L3xQB/XNRXmXxm+J+i/Bf4U+Kvipr5BsvDOnz3hQnb50iLiKEH+9LIVjX3YV84/sDfH34uftLfA3/havxZ0rTdKkvNQuLbTv7MimijuLW22o0zLNLMc+d5icNj5DxQB9Z+NvGfhv4d+EdY8deML1NO0XQrWW8u7h+iRRKWYgdST0VRyxIABJAr+Mn9o741+OP2w/wBoO/8AGkNhcXN1rdxHp2h6VCpmlhtFbZa20arndIxYs+370jsQADiv0n/4Ksftgv8AFHxNb/sqfCC4k1LTtOvEXW3swZDf6mrhYbGIJkyLA/LgZ3TYAGY+fsn/AIJx/wDBPaH9n7T4PjJ8XbWO4+I2ow/6LaNh00WCVcMoPIN06nEjjhFJjU8uWAPzs/Znt/8Agon+yhoWqaL8LfgMHl1qdZry+v8ASLie8lEa4jiMiXMYEceWKqFHLMTkmvpz/hq//grp/wBEQtf/AASXf/yZX7y0UAfgdqH7X/8AwVl0mwudV1T4MWVpZ2UTzTzS6NdJHHFGpZ3ZjeYCqoJJPQV+Hvxb+Lfj344ePdT+JPxJ1R9V1vVHy7txHFGPuQwp0jijHCqOB7kkn+hj/gr1+1P/AMK++HVt+zt4QvNmv+NovO1Zo2+a30hWI8s45BunUr/1zRwRhxXwN+wD/wAE29T/AGiEt/ix8YluNI+HSOTaW8ZMN1rDIcHY2Mx2wPDSD5n5WPHLqAfQn/BKD9sT4p3Wq2n7OPi7R9U8V+GI12abqttby3J0UAErDdyKCFtDjEbMR5RwvMZAj/oQrkvA/gPwZ8NPDNl4M8AaNa6DomnrsgtLSMRRr6kgcszdWZssx5Yk811tABRRRQAVla7ph1vRNQ0YXElp9vt5bfzojiSLzUKb0PZlzke9atFAH5Fp/wAEcfgLql0NR8cePPGXiO87vNe2o3euS9rI/wD4/Xoujf8ABJP9i3S9v27w/qesY6/atVuVz9fs7Q/pX6X0UAfFWjf8E6f2KtB2/YfhXp0u3p9qmu7z8/tE0mfxr5u/4KJfs6/AL4bfsU/EPXfAHw58PeH9Vtf7IEN7ZaXbQ3cYfVbRG2zrGJBuVip+bkEg8E1+s1fn9/wVI/5MV+Jf10b/ANPFlQB/P3/wTC/5Pn+GP+/q3/ppvK/sFr+Pr/gmF/yfP8Mf9/Vv/TTeV/YLQAUUUUAFfkh8Tf8AgqJpnwF/at8ZfAz4veGi/hTR5rJLTVtM3NdQLc2UFwxubd2xKu6UndGUZVAARzX631/IX/wVOg8r9ub4iOBjzo9Gf/ylWi/0oA/qy+GfxY+G/wAZPDEPjH4X+IrPxHpE2B51pJuMbEZ2SocPE4HVJFVh3FehV+FP/BI/9kC50XQtP/av17xFcoddiuoNM0mynkhgaGKWS2kkvwpUTHejGKI5RcCQkvgJ+61AH5gf8FeYPO/Y21GTH+o1rS3/ADkZf/Zq/Gv/AIJMf8nq+Gf+wdq3/pI9ftB/wVw/5Mw1z/sK6V/6PFfi/wD8EmP+T1fDP/YO1b/0kegD+tOiiigAooooA/mr/wCCyH7Olt4K+JGi/tBeG7bytO8b5stUCLhE1S2QGOQ4wAbiAdO7ROx5avPv+CNviLxHpv7VN94f0tpH0rWNAvDqEQLeWBbyRPDMyjjcrnYpPQSMB97n+gz9qr9nzRv2nfgjr3wl1S5FhcXwjuLC9KeZ9kvrdt8Mm3glTyjgclGYDkivnP8AYE/YQtf2P9H1zWvE2p22v+NvEWyGe6tUYW9tZRHcsEJkCud7/PIxC7iEG35MsAforXwh8Gv+Ci/7Nfxc8R3fga71lvBfimzu5rP7Brmy2E0kUhj/AHFwGaByxHCF1kJ4CHrX3fX8LPx4tls/jj8RLNRhYPEWrxgey3kooA/uY1LTrDWdNutJ1OFLqyvoXgmicZSSKVSrqw7hlJBr+Trwp/wTg+MGu/tb33wPvNA1G08HaRqrvda7LA6WjaKsm6OWO4K+W8s0OFRFJPmEggBHK/u//wAE8/gH8SvgT8DLO0+J/i+98QajrscF3Dpstwbiy0a3KEx29sWydxDZl2ny9wAQcF3+9KAIbe3gtLeK0tkEUMKqiIowFVRgAD0Ar8X/ANsX/gk3a/GT4hp8R/gLqWm+ErnWJWfW7G9EqWjSNybq1EEchWRz/rIyFRj84ZTkN+01FAH4E+G/+CHdqLVJPF/xac3B+9HY6SAi+wkluCW+uwfSu/j/AOCIvwiCAS/EfXGfuVt7VR+RU/zr9t6KAPxM/wCHI3we/wCii69/34tf/iK/OL/goP8AsN+Dv2ObXwLc+E/El/r/APwlb6kkwvY4k8r7ELcoUMQH3vOOc+gx3r+tCvwR/wCC5X/IL+Df/XbXv/QbGgD5c/4JSfso6f8AGz4kXnxh17XLnTrD4bXlnLDa2MjwXF1eSh3j3ToQUhUId4U7nztyozn+pGvwr/4Ief8AIk/Fb/sI6X/6Jnr91KACvA/iN+1J+z38IvEZ8I/Evx5pnh3WRClx9lu5SknlSZ2PjB4ODivfK+Rv2uv2Ovhv+114Kj0LxS39j+IdNy2l63BEJbi0LH5kZCyebC/8UZYc4KlWGaAF/wCG8/2Ov+is6H/3/P8A8TR/w3n+x1/0VnQ/+/5/+Jr4w8Jf8EYP2atDtY5PGnifxDr10Nquyz29jbMxOBtjWF5BknABlNeqxf8ABJH9i+Ndr6Dqkp9W1W4z/wCOkCgD3r/hvP8AY6/6Kzof/f8AP/xNfzwftP8Awy+EfxW/bG1vxD4F+J/hmz+H/jS7TU7rWJL6MCxkmAN6rW+RNJKZQ7oFTa29QXXDFf2q/wCHSn7Fn/Qu6l/4Nbn/AOKo/wCHSn7Fn/Qu6l/4Nbn/AOKoA7/4b/tZ/sL/AAq8A6B8N/CPxT0SDR/DllDY2ytcEuUhULuchRl3OWc45Yk96zviz/wUr/ZT+HfgPVPFPhzxlZeM9XtkxZ6Tpshae6nbhFLFdscYPLyH7qg4DNtU8j/w6U/Ys/6F3Uv/AAa3P/xVZV1/wSx/YRsdVsdCvdNurfUtTWVrS1k1udJ7hYADKYoy4ZxGGBfaDtBGcZoA/DLQP+CiX7R2kftFzftEXesm+ub0iC60ZmddMk01WJWySLJ8tUyTG4y4clyWLPu/qX/Z0/aL+HH7Tfw4s/iL8OrzfE+Ir2ylIF1YXQGWgnUdCOqsPldcMpINfJX/AA6U/Ys/6F3Uv/Brc/8AxVe4/Ab9iD4D/s1+Kbjxf8JLbU9LvL2A21xHJqVxNbzxk5HmQuxRih5QkZUk4PJyAWP2708z9jz4tL6aDcn8sGv5V/2Kf+TuPhD/ANjNpn/o9a/qv/bmGf2QPi4P+pevD+S1/Kh+xT/ydx8If+xm0z/0etAH9rlFFUNV1XS9C0y61rW7yHT9PsYnmuLm4kWKGGKMbneSRyFVVAyWJAA5NAF+iooJ4LqCO6tZFmhmUOjoQysrDIZSOCCOQRUtABRRRQAUUVi+I/EOj+EvD2p+KvENytlpWjWs15dzv92KC3QySOfZVUmgD8C/+C1Xx1FxqHg/9nbRrjK2g/t7VlU/8tHDw2cbY7qvmuyns0Z9K8X/AOCQ37MkfxM+LF58dfFVmJvD/wAP3VbASLlJ9ZkG6MjPB+yxnzD3DtER0NfnX8a/iR4n/aW+PfiLx+LaW41Pxnqu2xtF+eRY3YQWdsuOpSMRxjHUiv7A/wBlX4E6b+zh8CPCvwpslRrzTrYS6lMnS41G4/eXMmepG8lUzyEVR2oA+h6/PmH/AIKPfAzRfj/4r/Z9+KDSeCtR8P3/ANitdTvHD6befIrAyTAL9mYlj/rB5eBkyZOK/Qav43f+CjduLX9tf4pxgY3X9u//AH8s4H/rQB/W14r+Mfwk8CWEeqeNfGui6FaTRrLHLfahb26yRuMqyGRxvDDlduc9q+OPH3/BUz9jHwMssdv4vm8UXcWcwaNZTTlsf3ZpVitzn2lr87/2S/8Agk98LPjN8HPCXxf8f+NNYx4mtPtZsNNjt7UQ/Oy7DNKtwX+7yQq/hX6N+Cv+CXv7Fvgzy5W8DNr9zHj99qt9c3OfrEJEgP8A37oA/Of4q/8ABbbxJdedZfBT4e2+npyEvddna4kIPf7LbGNUYe8zjPb1/NH4v/tvftU/GlbnTfHnj7UE06YlZNOsSunWhX/nnJFbCPzAPSUufU1/X34N+CXwb+HgT/hA/Auh+Hmj6PYabbWz59S8aKxPuTmv45/2yrP7D+1l8YIcY3eKtXl/7+3Ukn/s1AH0j8Ff+CV/7T/xm8MaL43hGj+G/D+v2sF/aXOoXu95bW5QSRSLFapOwLIwIV9hHRsGvvvwB/wRC8JW3lz/ABR+Jl9qGcF7fR7OOzC+oE9w1xu+vlL9K/Ur9jqQSfsn/B5hzjwnow/75s4x/SvpGgD88vBv/BLP9izwikbXHgubxDcx/wDLbVNQupSf96KKSKE/9+6+vPhf8FPhP8FbG9034U+FrLwxbai6SXKWUfliZ4wQrPySSASATXqNFABRRRQAUUUUAFFY/iDQNH8VaDqPhnxDare6Xq1vLaXUDkhZYJlKSISpBGVJGQQR2Oa/ne+LP/BIH47D4pX1p8FvFFnJ4Huz51pcaxfzxT2gcnNvKsUUrSFP4XVcMMZw2RQB/RzRX892jf8ABFf4mTwxt4g+NEFlKR862un3F0oPsz3MBP5CurH/AARO1bv8ern/AMETf/LKgD95q/i0/bqUL+2D8WwP+g/dn8yDX6y/8OTtV/6L1df+CJv/AJZV+I3x8+GLfBj4y+L/AIVvqp1xvDOoS2Zvmi8g3BTrIY98m0nPTe31oA/rh/YE/wCTN/hP/wBgWP8A9DevgH/go/8A8FH08AJqXwB+AGphvFDBrfWtat2yNNB4e2tnH/L12kkH+p+6v73Jj+cf2fP+CT+o/Gv4LeEfirF8Y7jQU8S2S3YsV0dp1t9zEbBJ9vj3dOuxfpXqLf8ABDSNiWb41sSeST4d6/8AlRoA9D/4Jlf8FCG+IlvYfs7/ABw1Mv4qt1EWh6tcvltTjUcWs7t1uUA+RzzKvB/eDMn6c/tL/tC+Dv2ZPhHq/wAUvF7iQ2q+TYWYYLJfX0gPk26d/mIJdsHYgZsHGK/GrX/+CM+hfDfRbzx9r/7QH9haf4eja+mv20Dyvsy2/wA/mBxqO4MpGV2/NnGOcV+W/wC07+1B8Sv2jNa0ez8Z+I5PEGkeD4GsNMne2Fi90gbBvri3WWVVubhVQy4cgYAHQ5APGfif8SfF3xg8f658S/HV4b7XPEFy1zcSdFBPCxoOdscagIi9FUAdq/Zv9hD/AIJYaF8QvB1l8YP2l4LyOy1TZPpWgxStama1Iys946gSqsucxxoyNtwzN820cb/wTJ/4J/N8UNQsf2hfjPp3/FHWEok0XTbhONVuIzxPKp62sbDhTxK45/dqQ/8ASuAAMCgDK0HQ9J8MaHp/hvQbdbPTNKt4rS1gUkrFBAgSNASScKoAGTmtWiigAooooAKKKKAP4uv28o/L/bF+LS+uu3B/76Cn+tf06f8ABO7/AJMs+FX/AGDZP/Smav5lP2/V2/tlfFgf9Rlz+caGv6a/+Cd3/Jlnwq/7Bsn/AKUzUAfaNFFFABX8wn/BZf4sJ4v/AGhdD+F9jP5lp4D0tfPQH7l/qZWeQf8Afhbf9a/pf8T+I9H8HeG9V8W+IbgWmlaJaT3t3M3SOC2QySOf91VJr+GX4vfEbVPi78UvFfxP1nIu/E+pXN+yE58pZpCyRA/3Y0wi+wFAH7cf8EWvgB/yNX7SOu23roWjFx/uyXsy5/7ZxKw/6ar61+/1fjJ8Bv8Ago7+w78Cfg94T+EuhalrDW/hyxjt3lXSpB59wfnuJyN3WWZnc/71eu/8PeP2Nv8AoJaz/wCCuT/4qgD9PqK/MH/h7x+xt/0EtZ/8Fcn/AMVR/wAPeP2Nv+glrP8A4K5P/iqAP0+or8wf+HvH7G3/AEEtZ/8ABXJ/8VX4tftQ/wDBRb4vfGH45ad8Qvhtq954R0HwbcM3h61ifa4/ha4u1GUkknXh423IsZ8vDAuzgH9cdFfn9+wp+3X4V/a58MyaLqcKaN8RNDtxLqenpnyZ4Qyxm7tScnyi7KGQktGzBSWBVm/QGgAooooAy9b0TSPEujX3h7xBZxahpmpwSW11bTqHimhlUo6Op4KspIIr+PD9uv8AZO1T9kz4zTaHYCSbwfr3mXugXbElvIDDfbu3eW3YhWP8SlH43YH9kdfGP7ef7ONp+0r+ztr/AIYs7QT+J9EjbVNCcD94L23UnyVPpcJuiIPGWVjyowAflL/wT8/4Keaxo2paV8Ef2ktTa+0i5aO10rxDcNme0diFjhvpCcvCeAszfNGf9YSnzR/0UdeRX8AjKysVYYI4IPUGv7lf2cZ9Yuv2evhfc+IS7apL4W0V7sykmQ3DWMJkLk8lt2c+9AHs1fySf8FYdR+2/ts+LbbOfsFlpMH03WUUuP8AyJX9bdfxof8ABQzXf+Ei/bQ+K2obt3laotpn/ryt4rbH4eVigD9W/wDgh94c+zeCPip4uK/8hDUdNsQ3/XnDNKQP/AkZ/Cv3Ur8pv+COfhz+xf2RptVK4Ov+ItRvAfVY44LUfgDAf1r9WaACiiigAooooAKKKKACiiigAooooAK/PP8A4KNftbw/sx/BibTfDV2E8e+MklstIVD+8tY8YnviO3khgI/WVl4IVsfZ3xR+Jvg74OeANb+Jfj29Fhoeg27XFxIeWbHCRxrxukkYhEXqzEDvX8aX7RHxw8f/ALXXx0vfHN/aTT3uszx2Gj6VAGma3tt+22tIVUZdyWy20fPIzMAN2KAPJPh94A8Z/FrxxpXgHwNp8useINeuBDbwJyzu3LO7HhUUZZ3YgKoLMQATX7beCv8Agnb/AMFKvhx4dt/CXgH416T4e0W1LtFZ2Ou6tbwI0rF3IRLADLMSSe5r7r/4J5fsM6b+y14K/wCEw8awRXXxM8RwL9tlGHXTbdsMLKFhxnODM68O4ABKqpP6S0Afg1/wxN/wVd/6OHtf/Cj1n/5Bo/4Ym/4Ku/8ARw9r/wCFHrP/AMg1+8tFAH88fxK/Zo/4KY/CjwFrvxG8cftJWljoXh+1kurqX/hI9Z3bEHCIPsQ3SOxCIoOWYgDk1+Ek8891PJc3MjTTTMXd3JZmZjksxPJJPJJr9o/+CuP7Xf8Awn3jNf2bPAl7u8P+E5xLrcsTfLdaonAtyR1S1BIYdDMSCMxqa9M/4Jt/8E3re/t9N/aE/aG0kSwSBLnQdBuk+V14ZL28jbqp6wxMMEfO4I2ggDP+CTnhH9s3wVqEV/HoDQ/BjxCfOuE1iY2vzsvy3mnRENKWIABOwRSrj5shWX+gukACgKowB0FLQAUUUUAFFFFABRRRQB8Ff8FKvjKnwb/ZJ8XTWs/lat4uUeHrEA4YtfqwnIPUFbZZmBHRgOlfzCfsm/A66/aJ/aA8IfCxEY2GoXYm1KRcjytOtv3ty24fdJjUoh/vso71+hP/AAWY+Nq+MPjToPwX0m432PgSz+0XqqeP7R1ELJtbHXy7dYiD2Mjj1r6g/wCCLvwF/sPwR4m/aH1q223fiSQ6RpTMORY2rhrmRT/dlnCp7GA+tAH6c+M/2pP2Z/g3rjfDvxr460nwxqelQwr/AGfO5iaGFo1aIBQuAuwjbjjFcr/w3n+x1/0VnQ/+/wCf/iayv2wv2J/ht+194ZtbXXpj4f8AFOlYGn65BCJpooi2XgljLJ50LckKXUq3zKRlg3yB4P8A+CLH7O2kwBvGXivxF4gusYPkyW1jB7kRiGV//ItAH2p/w3n+x1/0VnQ/+/5/+Jo/4bz/AGOv+is6H/3/AD/8TXgVt/wSO/YxgjCS6Lq1y396TVJwf/HNo/SrH/DpT9iz/oXdS/8ABrc//FUAfln/AMFcvjx8Jvjd4p+G7fCjxRZ+J7fRrLURdSWbl1ie4kh2qxIHJEZOK7D/AIJE/Hf4KfBDSfihJ8V/GGn+F7jW59IFqt5IUMyWq3W8rgHIUyjP1rwH/gpx+zJ8If2YviF4N8O/COyubG11nS5rq6S4uXucyJOY1KmTJHAIIzjj6161/wAExP2Mvgd+094M8ca98XdNur+bRdQtba0Nvdy2wVZImdwRGRuycdelAH7a/wDDef7HX/RWdD/7/n/4mj/hvP8AY6/6Kzof/f8AP/xNeFf8OlP2LP8AoXdS/wDBrc//ABVH/DpT9iz/AKF3Uv8Awa3P/wAVQB5r+2H/AMFTPhb8O/AB0n9nTXrPxh401pHjhuoAZbTS06GeXcAskvP7qPkZ+Z/lAV/xU/ZX/bk+LH7N/wAWL3x5d39z4n0jxPc+d4isLqZna/Z2y1wruTtuVySsnf7rZU8fvr/w6U/Ys/6F3Uv/AAa3P/xVH/DpT9iz/oXdS/8ABrc//FUAfcfwj+LngH45eAdM+JPw21NNU0TVEyjjiSKQffhmTrHLGeGU9OoyCCfSq+Y/2fP2Rvg7+zDPqsnwji1Gwg1pUF1bXGoT3Ns7xn5ZBFIxUSAZXeBnaSOlfTlABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAV/J7/wV1gEX7ZerSY/12j6W/5RFf8A2Wv6wq/lK/4K/gD9sS699C0z+UlAH6P/APBE7/k3jxt/2NMn/pDa1+y1fjT/AMETv+TePG3/AGNMn/pDa1+y1ABRRRQAUUUUAfys/wDBYv8A5O8j/wCxc03/ANGT195/8ESNL0xPg98QdbW0iGoS69HbvchF85oY7WJ1jL43FFZ2IXOAST3r4M/4LF/8neR/9i5pv/oyev0C/wCCJX/JCvHv/YyD/wBI4aAP2kooooAKKKKACiiigArB8VJ5vhfWI/79ncD842rerF8SOI/DuqOei2s5/JDQB/BNZusd5A7nCrIpJ9ADX9nf/Def7HX/AEVnQ/8Av+f/AImv4w7SNZbqGJ+Vd1U/QnFf1j/8OlP2LP8AoXdS/wDBrc//ABVAHuv/AA3n+x1/0VnQ/wDv+f8A4mj/AIbz/Y6/6Kzof/f8/wDxNeFf8OlP2LP+hd1L/wAGtz/8VR/w6U/Ys/6F3Uv/AAa3P/xVAHuv/Def7HX/AEVnQ/8Av+f/AImj/hvP9jr/AKKzof8A3/P/AMTXhX/DpT9iz/oXdS/8Gtz/APFUf8OlP2LP+hd1L/wa3P8A8VQB7r/w3n+x1/0VnQ/+/wCf/iaP+G8/2Ov+is6H/wB/z/8AE14V/wAOlP2LP+hd1L/wa3P/AMVR/wAOlP2LP+hd1L/wa3P/AMVQB/M3+0pr+jeK/wBor4o+KPDl3HqGk6x4p1q8tLmI5jnt7i9lkikQ91dWBHsa/sC/Y8Of2UPg8f8AqUtF/Szir+O74/8AhHRPh/8AHb4jeA/DUbQ6R4c8R6vptmjuZHW2tLuWGJWduWIRQCTyetf2FfsZv5n7Jnwfb08K6QPytUFAH0tRRRQAUUUUAFfl7/wVj+BFp8VP2Zbzx9Y23meIPhvJ/aUDqMu1jKVjvoyf7oTbMf8ArkPU5/UKsTxN4e0rxd4b1XwnrsP2jTdatJ7K6j/vwXMZjkX8VYigD+Fv4X/Erxd8H/H+h/ErwLetYa1oNylzA6khW2n5o5ACN0ci5SRTwykg8Gv7nfB/iBPFvhLRPFUcXkJrNjbXojJyUFxEsgXOBnG7HQV/Nz8Jf+CQ3xlufj9JoXxSiis/hnol4ZX1WK4hd9VtY3zHFBCjtJG8y4DmRVEY3Y3EKG/pkiiigiSCBBHHGoVVUYVVAwAAOAAKAJK/Nb/grRbib9ivxLJjPkajpL/ndon/ALNX6U1+dX/BViPf+w/44b/nnc6O3/lRtx/WgD+eX9h7Rv2i/G3xck+HX7OPjs+BtZ1ixnluJpLmaC2lgthuIdYY5tzjPyEpkHOGWv1A1r/glb+1r8SyR8XP2hH1VZPvpNNqOpIAewSeSJce2AK+Mv8AgkN/yeRp3/YF1T/0Ba/q8oA/Cjw9/wAEPPBlvtPiv4rX9/8A3hZaXFafgDJPcfnivefDP/BHD9krRCr6zdeI/ELD7y3eoRRIfoLWCFgP+BE+9fq9RQB8WeF/+Cdv7F3hHY2m/CzTrpkxzqElzqOT6kXcsq/hjHtX0t4T+Ffww8Bqq+B/CGj+HQgwv9nafb2mPp5KLXe0UAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVka/r2keFtC1HxN4guksdL0m2mu7q4kOEhggQySOx9FUEmtevw8/wCCwn7VQ8MeFbT9mPwZeY1TxEiXmvvG3zQ6erZgtiR0a4dd7jg+WoBBWWgD8Q/2n/jnq/7R3xx8U/FnVN8cOq3JSwt3P/HtYQfu7aLA4BEYBfHBcs3ev30/4Jv6F+zJ+zJ8H01zxX8UPB6fEDxmkV1qhfXdP32cGN0FiD53Hlg7pcdZCRkhENfl5/wT2/YJ/wCGtNW1fxX8QJ77SPh7oga3NxZMkdxeX7KCIYXljkQLEpDyttPVFHLEr+rv/Dl/9lH/AKDvi7/wPsv/AJBoA+/f+Gof2aP+it+Ef/B9p/8A8fo/4ah/Zo/6K34R/wDB9p//AMfr4C/4cv8A7KP/AEHfF3/gfZf/ACDR/wAOX/2Uf+g74u/8D7L/AOQaAPv3/hqH9mj/AKK34R/8H2n/APx+j/hqH9mj/orfhH/wfaf/APH6/JP9pT/glN+zf8IfgL46+J3hjWPE0+reGtKuL22S6vLR4GliGVEipZoxX1AYH3r8IPhX4Y0/xt8T/B/gzVnkjsdf1jT9PuGhIWVYrq4SJyhYMAwVjgkEZ6g0Af2l/wDDUP7NH/RW/CP/AIPtP/8Aj9H/AA1D+zR/0Vvwj/4PtP8A/j9fAX/Dl/8AZR/6Dvi7/wAD7L/5Bo/4cv8A7KP/AEHfF3/gfZf/ACDQB9+/8NQ/s0f9Fb8I/wDg+0//AOP15F8cf29/2a/g18O9Q8a2fjXR/GOowjy7PSdG1K2vLq6uGB2KRC8nlR8ZeVhtUdNzFVb5f/4cv/so/wDQd8Xf+B9l/wDINH/Dl/8AZR/6Dvi7/wAD7L/5BoA/n7+LH7Unxm+L3xmX46a9r09l4lsp0l0xrN2ij0yOJi0UNqMnYiZ9y5JZyxYk/wBJf7Af7fnh/wDal8Px+CPG8kOlfE7Soc3FuMRxapFGPmurVezDrLEPu/eX5Pu+cf8ADl/9lH/oO+Lv/A+y/wDkGtzwz/wSF/Zy8GeIdP8AFfhTxb400rWNJmS4tbq31KzjlhljOVZWFjkEfr0PFAH6q0UyNSiKjMXKgAscZOO5wAMn2Ap9ABXxx+3/APEm5+Ff7InxG8Tabevp+pXFimnWcsLmOZZtQlS2zEykMHVZGcEHI2kjpX2PX4A/8FqvjtaSx+EP2dNGuFkmik/t/VgjZMZ2vDZxNjuQ0sjKe3lt3BoA+vf+Cff7Unws/wCGSvA9r8V/ijo1p4ptP7RivE1rW7aO+IF/cGFpBczCXmEptLdRjHFfZv8Aw1D+zR/0Vvwj/wCD7T//AI/X4U/sCf8ABPD9n/8Aam+Ax+JXjnVfENrrUGrXenTx6fd20VuBAscibVktZWyUkGcuefTpX2z/AMOX/wBlH/oO+Lv/AAPsv/kGgD79/wCGof2aP+it+Ef/AAfaf/8AH6P+Gof2aP8AorfhH/wfaf8A/H6+Av8Ahy/+yj/0HfF3/gfZf/INH/Dl/wDZR/6Dvi7/AMD7L/5BoA+/f+Gof2aP+it+Ef8Awfaf/wDH6/DX/grLoHw4+MHjLwT8VPg7418M+Jb5rVtF1OCz13TmlQJIZbWVlM4+Q+ZKrueEwu44Ix9m/wDDl/8AZR/6Dvi7/wAD7L/5Br5O8N/scf8ABMbxB8VvEPwTu/iJ4r0Dxf4d1CXTXtNWvrG0W6mibaTazNZmKQMeFXcJD/coA+0/2Bov2b/2U/gVb+E9f+L3g2bxXrtwdT1l4vEGnvHHcSIqJbowm+ZYY1Ck8guXYcEV9t/8NQ/s0f8ARW/CP/g+0/8A+P18A/8ADl/9lH/oO+Lv/A+y/wDkGl/4cv8A7KP/AEHfF3/gfZf/ACDQB9+/8NQ/s0f9Fb8I/wDg+0//AOP0f8NQ/s0f9Fb8I/8Ag+0//wCP18Bf8OX/ANlH/oO+Lv8AwPsv/kGj/hy/+yj/ANB3xd/4H2X/AMg0Affv/DUP7NH/AEVvwj/4PtP/APj9fmL+39/wU60/4d21r8Nv2X/ENjq/iO48q4vtds3hv7OyhBDLBA37yGWaTHzn5ljQ4++37vtbr/gjT+yRY2s17e+I/FcFvbo0kkkmo2KoiIMszMbHAAAySegr+cf4haR4Mv8A4qaxoHwQg1HUvDkmoNaaKtzi5v7uIN5cTERRx7nmPzKioCNwXkjJAP60P2If21PCH7XPgLzW8rSfHeixoNZ0oNxn7ourYMSzW8h+pjY7GJ+Vn+4a/m9/Y7/4Jl/ta+GfE+hfGifxXbfCXUrFlmt4ZYmv79o2HzR3NqjxxCORTteN5t2CQyqRX9ICBwiiQgtgZIGAT3wMnH50AOooooAK+Uf2zf2atG/aj+BmteAp4UGv2iNfaFcthTBqMKHywWPSObmKTttbdjcqkfV1FAH8CN7Z6houpT6ffxSWd9YStFLG4KSRSxNtZWHVWVhgjqCK/sX/AOCevxk8S/HL9lLwh4x8aXD3uvWv2nTby5kHzXD2UzRxyk/xM0Wwu3d9xr87/wBt3/gln8Qvir8dJ/ih8BpNOi0/xhMJtXtr2c24s71v9dcrhWLxzf6xwoLiQsQCGG39gf2e/gtoP7PPwb8MfB/w5O13a+Hrco9w6hXuLiZ2mnmIHTfK7MFydowuTjNAHs1FFFABRRRQB/Hb/wAFLo/L/bg+KC+tzp7f99adan+tfuL/AMEe/wDkz6P/ALD+pfyir8RP+CnS7P25vicP+mmlH89KtDX7d/8ABHv/AJM+j/7D+pfyioA/U2iiigAooooAKKKKACiiigDwb9qiPzv2Yfi/F/f8H+IF/PT56/jd/Z4/5L/8M/8AsZ9G/wDS2Kv7LP2mhu/Zu+K6+vhPXR/5ITV/Gn+zx/yX/wCGf/Yz6N/6WxUAf3N0UySSOGN5pnCRoCzMxwABySSegFfmnon/AAVL/Z31r9ouX4IRzmLQmItLbxS8qjT59R3bTDjHywHhUuC21n7CPEhAPv8A+IUQm8A+JYWGRJpl4pH1hcV/CRof/Ib0/wD6+Iv/AEMV/eH4yTzPCGuR/wB+xuR+cTV/B5of/Ib0/wD6+Iv/AEMUAf3z0UUUAFQ3E8drby3MxxHCrOx9lGTU1cD8VtVGh/C7xhrZbaNP0bULjPp5Vu75/SgD+Eq6uJb68mupOZLiRnOOcs5yf1Nf3teHNLXRPD2l6KgCrYWsFuAOgESBP6V/CT4A0z+2/HfhzRsbvt+pWdvj182ZUx+tf3n0AFFFFABRRRQAV8Qf8FDPj2v7P/7MHifW7C5EHiDxGh0TScHDi4vVZXlXuDDCJJAem5VB619v1/Jz/wAFS/2movjv8fX8HeGbvz/Cfw783TrZkbMdxfsw+23C44I3KsSnkFY9wOGoA+P/ANmv4EeJf2kfjJ4e+E3hoNEdTl33l0F3LZ2MXzXFw3b5E4UHG5yq5ywr+0/4cfDjwX8JvBml+APh/pcOkaJpEKwwwwoFztABkkIA3yORud2+ZmJJJJr+Xf8AZA+If7UH7Iia7qfgz9nvVPEGqeJBEj6hfaPqnmJax/MsMXlRgBGc72P8RC5+6K+2v+Hk37en/Rtd1/4KNZ/+JoA/eWvif/goygk/Yp+Kintp8B/75vIDX55f8PJv29P+ja7r/wAFGs//ABNeHftJft0/thfE/wCB/izwF8QfgVP4W8PaxbxxXmpyaZqkK20YmRwxecCNcsoUFjjJoA/Nz9kv/k6j4Of9jl4f/wDThBX9vNfwj/CHxNr/AIL+LHgvxj4U0w61reha1p19Y2Co8hu7q2uUlhgCR/OxkdQuF+Y5wOa/dP8A4eTft6f9G13X/go1n/4mgD95aK/Br/h5N+3p/wBG13X/AIKNZ/8Aiay9b/4KNf8ABQTUNHvbHSf2ebvS724heOG7XRNXla3dgQsio6lGKnkBgVJHIIyCAfo9+0d+318Bv2ZfHfh74eeN7ua91bVpUN8liom/sm0kHy3F0Ac8nBEagyFMuF+6H+yNF1rSPEekWWv+H72HUdM1GFLi2ubdxJDNDIoZHR1JDKwIIIPNfxM+Ivgf+1P4u12/8UeKPh34w1TVtUme4urq40e/kmmmkOWd2MWSSa/TL/gnt8df2of2bNYt/hh8Tfhp4w1L4Y6lN8p/sPUJJtGmlbmaBfJJaBicyxDvmSMbtyyAH9I9FHXmigAooooAKKKKAPFv2kohN+zt8UoTz5nhXXF/OxmFfxefBH/ktHgH/sYNK/8ASuOv7Tv2gl3fAX4kqe/hrWR/5JS1/Fj8Ef8AktHgH/sYNK/9K46AP7rKKKKACiiigAooooAiuP8AUSf7p/lX8BFf373H+ok/3T/Kv4CKAP79rfAgjA4G0fyqaq9oc2sJ9UX+VWKACiiigAooooA8l+NnwR+HX7Qfw+v/AIa/E7TRqGk32GRlIS4tZ1B2T28mCY5UycHBBBKsGUsp+SPBf/BLD9i3wfGv2rwdP4kuFGPO1XULmUn6xwvDD/5D+lfojRQB8oWf7C/7H9jH5cPwk8PsP+mtmsp/OTcauf8ADEv7Iv8A0SLw1/4Lof8ACvqOigD5c/4Yl/ZF/wCiReGv/BdD/hR/wxL+yL/0SLw1/wCC6H/CvqOigD5c/wCGJf2Rf+iReGv/AAXQ/wCFH/DEv7Iv/RIvDX/guh/wr6jooA+XP+GJf2Rf+iReGv8AwXQ/4Uf8MS/si/8ARIvDX/guh/wr6jooA+XP+GJf2Rf+iReGv/BdD/hR/wAMS/si/wDRIvDX/guh/wAK+o6KAMrQ9D0fwzoth4c8PWUWnaXpkEdta20CCOKGGFQiRoo4CqoAAHatWiigAooooAKKKKACiivOfi78T/DXwY+GfiP4p+L5PL0rw3ZyXcoBAaVlGI4UzxvlkKxoO7MKAPwD/wCC0Px1h8R/ETwv8AtFn32/hGE6nqgU8fbr1AII2H96K3+ce0/tXyz/AME2f2TtM/ae+NM83jmxa88CeD4Bd6pHueNbmabKWtrvjIYb2DSNgjKRsMgsDXxX8QfG3ir4zfEzXPHeuB73XvFuoy3TxxBnJmuZMpFEvJwuQiKOgAAr+vT9hT9mqL9l/wDZ+0bwZqESDxPqp/tPXJFwf9OuFH7kMOqwIFiGDglWYfeNAH1N4U8I+FvAug2nhbwXpFroej2C7ILSyhSCCNf9lEAAz1J6k8nmuioooA/E7/gtV8Jf7d+FHg74yWEO658K6g+nXbKOfsmoqCjOfRJolUe8p9a9B/4JB/tAx/Ej4C3Pwf1m4Da58OJRFCGPzS6XdszwNz18p/MiOOFUR561+iXx8+Emk/Hb4N+LvhJrJVIfElhJbxyMMiG5XEltNjv5Uyo+P9mv5I/2Vvjb4m/Yy/abtfEGv28tvDpd1PoniSx6ubUy+XdJtHV4ZEEiDu8YHQmgD+zqis/SNW0zX9Kstd0W5jvdP1GGO5tp4mDRywzKHjdGHBVlIIPcGtCgAooooAKKKKACiiigDy3xF8Dvgx4v8Vp468W+BdD1vxDHEkK399p1vc3KxxklAJJUZhtycHOQOOlekWVjZabbR2WnW8drbxDCRxIERR6BVAAq1RQAUUUUAFFFFABRRVS/v7HS7G41PU7iO0s7SN5pppnEccUcYLO7u2AqqASSTgDk0AW6K5zwj4w8LePvDlj4v8Farba3ompp5lteWkiywyrkglWUkcEEEdQQQcEEV0dAH4Df8Fzf9R8Fv97xF/LTq5n/AIIeaPpNz4o+LOt3NlDLqNha6PFb3Lxq00Mdw92ZVjcjcqyeWm4AjdtXPQV03/Bc3/UfBb/e8Rfy06sv/ghr/wAhT4yf9cdB/wDQr6gD+g2iiigAooooAK84+MaeZ8IvHEZ53aFqY/O1kr0euA+K67/hb4xT+9o2oD87d6AP4cPh/wD8j54b/wCwlZ/+jkr+86v4Mfh//wAj54b/AOwlZ/8Ao5K/uz8SeJNA8HaBqHinxTqEOlaRpUL3F1dXDiOKGKMZZ3Y8AAUAbdFfkp8IP+CsXwc+K/x31T4Ua7p39geE9SkW00HWrx9qXkv3GW7jYYgWcn90STjgSYLceFfHD/gj94o8SfFa41r4I+N7bw54J1PM0llqEl1LcWEzH5orZUUrLD3TfIjL935sbqAP3gor8Fo/+CJ2smNTL8ebgPgbguhMQD3wTqQ4p/8Aw5O1X/ovV1/4Im/+WVAH1P8A8FeVz+xtqR/u6zpZ/wDIjCvxz/4JI/8AJ6Ogf9gvVf8A0nNd/wDti/8ABNK9/Zi+Ct18V7n4pzeLVtL21thYyaUbUE3LFN/mG8nwV9NnPqK+Lv2QP2fpv2m/jbp/wmt/Ej+E3vbW7uPt6Wxu2T7NGX2+WJYc7sYzvGPQ0Af2u1U1DULDSbC51TVLmOzsrON5p55nEcUUUYLO7uxAVVAJJJwBya/CT/hydqv/AEXq6/8ABE3/AMsqZJ/wRJ1GaNopvjvcOjjBVtBYgj0IOpUAVPi3/wAFkTonx+0+x+F+jxaz8LdGle31GWRdt5qu47XuLVmI8pYsZhVh+8537QwCftp8Lvij4G+M3gbS/iN8OdUj1fQtXj3wzR8MrDh45EPKSIfldG5UjBr8Rf8AhxlF/wBFqb/wnP8A7419n/sb/sEeO/2QPFt1qGkfGKTxF4V1VW/tDQpNF+zQzTBCIp45ftsvlSocZYId6fK38JUA/SuiiigArz74r/EXRfhH8NPE/wATfEJ/0Dwzp9xfyLnBk8lCyxqf70jYRfViK9Br8Qf+Cz3x9/4R7wD4c/Z50S523viqQarqqqeRp9o+LeNh6TXALj3g96APwt8HeFviD+1N8ebbQLE/bfFXxC1iWaeYglFkupGmubhwORHEpeRvRVOK/s7+CXwe8H/AT4YaD8KvA0HlaXocAj8xgBJcTN801xKR1klclm7DOBgAAfkZ/wAEcP2ZP+Ee8Kap+0x4rtNt/wCIg+naEJF5jsI3/wBIuFz0M0q+Wp6hY2x8r1+5FABRX5uftY/8FFPCX7KXxv8ACnwx1/QpNa0zUtPa+1e4tJB9qsVmlMdsY42wkhxHIzozKdpQg9m+3vhb8Wvhz8avCNr46+F+vW3iDRrrgTW7fNG+MmOWNsPFIuRlHVWHcUAfMXiP/gpD+xl4Q1/UPC3ifx/JpmraTPJbXVrPousJLDNExV0YGy4IIrF/4eifsK/9FNH/AIJ9Y/8AkKrf7U//AATz+B/7VnibTfGnieS88Oa/agRXd7pPlRy31uowiT+bHIpePgJJt3BflOVCheE8N/8ABJX9izQrVLfVPDmpeInXrLf6rdI7fUWbWyfkooA7D/h6J+wr/wBFNH/gn1j/AOQq/ny/4KPfGb4a/Hn9pa78f/CjWP7d0GTS7C2W5+zz22ZYVYOvl3McUnGRztwexr+hyP8A4JnfsPRII1+F8BC/3tR1Jj+ZuiTX88//AAUk+D3w4+B37TV54F+FejLoOhJpdhci2SaaZRLMrb2DTvI/OBxnHtQB+oX7An7eH7KXwV/ZS8GfDb4m+ORo3iPSn1M3Nr/Zuo3Hli41C4nj/eW9tJGd0bq3yscZwcHIr7H/AOHon7Cv/RTR/wCCfWP/AJCr5G/4J+/sQfss/GP9k3wX8RPiT4Dh1rxFqj6mLm7e8vYmkEGoXEMeUhnRBtjRV4UdMnnJr7M/4dpfsP8A/RL7b/wYaj/8k0Afk7/wUH/4KbW3xV0uf4Nfs4alMnhK9iC6trQjltZtQVxzawJKqSxwYOJWZVaQ5QAR58yH/gmr/wAFEG+GVzp/7P3xy1InwfcOIdF1a4bP9lSOcLbzuf8Al1Yn5WP+pPB/dHMf60f8O0v2H/8Aol9t/wCDDUf/AJJo/wCHaX7D/wD0S+2/8GGo/wDyTQB9zqyuodCGVhkEcgg06uc8IeEtB8B+GNM8G+FrdrTSNGgS2tIXmlnMUMYwieZMzyEKOBuY4AAHAFdHQAUUUUAFfz7f8Fof2hfOuvDX7NXh+5+W3263rYQ/xsGSygbHopeVlP8AeibtX7ifFz4neGvgx8NPEfxS8Xy+VpXhuzku5QCA0jKMRwpnjfLIVjQd2YCv4z4bX4qftm/tGyi0i/tHxh8Q9VeQjnyoFc5JJ5KwW0K++2NO+MUAfXf/AAS9/ZIb9oD4vr8RfGFl5vgXwFNHcTiRcx32oj57e154ZU4lmHI2hUYYkBr+rqvGP2ffgd4R/Z0+E2g/CfwYmbTSIv39wyhZLy7k+ae5kx/FI+TjJ2rhB8qgV7PQAV5L8W/gT8Ifjtplho/xc8L2nia10uf7Tarchg0MhG0lXjZXCsPvLna2BuBwMfn1+1h/wUy079mT9pPRvhP/AGFH4h8O2djHL4ieBit9bT3ZDwrb5YRlo4cSMjgbxIoDpgmv0W+FHxe+HXxv8GWfj/4X63Brui3gwJIjh4pAAWimjbDxSLkbkcAjg4wQaAMPwv8As6/ALwVbLaeFPhx4e0uNccwaXaq7Ed2fy9zH3Yk16ND4U8L28Yig0ezjReirbxgD8Atb9FAGL/wjXh3/AKBVp/34j/wryn43+O/hl8BfhX4i+LHjLT7RdN0C2aXyxDGr3EzfLDbx5X78shVF7AnJ4BNe4V/K1/wVE/bI/wCF+fEr/hU/gO+83wF4JuHUyRNmPUtTXKS3GRw0cQLRwkcH53BIdcAH50/Enx94n+MfxI1v4geIVE2s+Jb1p2igTCqZDtjhiQc7I1CxovJ2gDmv6Uf2Cf8AgnF4B+EngbSfiJ8b/DdtrnxH1HbdiC+Tz4dIRgDHCsLZjNwv3pJCpKP8qEBdzfJH/BJ/9iL+3b60/al+KdhnTrGQnwxZzLxPcRnB1B1P8ETAiDPVwZONiFv6IaAAAAYFFFFABUF0ty9rMllIkVwyMI3dDIiuR8pZAylgDyQGGemR1qeigD+er9oL/goH/wAFA/2cPifcfC/xz4b8MS3bEvp91b6ZePBqNuThJrc/a8sD0ZfvI2VYZqPQ/wBu7/gqb4lt47zQvgp9stpRlJk8LaqImHtIZwp/Ov6FGhheVJ2jUyRghWIG5Q2MgHqM4GfpUtAH4ML+1j/wVzYBh8ELbB9dDux/O8p3/DV//BXT/oiFr/4JLv8A+TK/eWigD+Tr9ub4y/tsfEzwN4d079qD4fQ+D9Es9RaWxnj0+azMt0YWUoWlnlB+TccADpnNeO/sOfEb9pT4afEbXNX/AGYfCcfi/wAQ3OktBeW0lpJeCOyM8TGTZFLER+8VFySRzjHNfrX/AMFvLrZ8KfhtZZ/1utXUmP8ArnbY/wDZ6+Vv+CJv/Jw3jb/sVpP/AEutaAPoD/hq/wD4K6f9EQtf/BJd/wDyZR/w1f8A8FdP+iIWv/gku/8A5Mr95aKAP5qf2kv2h/8AgpP40+B/izwx8ZPhPBoPgy+tkGp3yaTcQNBCkyOGEklzIq5dVGSp6+vNfl3+z94n+Ing340eEPE3wl0oa54wsb5G0yyaF7gT3DAoqGKNkZhgnowx1JwDX9Zv/BQz/ky74rf9gtP/AEoir+W79iq+/s/9rf4Qz5xv8T6ZD/3+nWL/ANmoA/Xn/hq//grp/wBEQtf/AASXf/yZR/w1f/wV0/6Iha/+CS7/APkyv3looA/lY/aW8N/8FLv2rb/Tp/ih8NNZj0/SV/0XTdPsJLexjlOQ0xjaRy0rA43MxIHC4BIPy/B+w5+2Pazx3Nt8KPEUU0TB0dLVlZWU5BBByCDyCK/tHooA+Bf2Dvil+0n4r8DSeBf2nPA2r6F4i8ORIsGtX0Hlxapb52r5hJz9pT+M4xIPmPzbs/fVFFABRRXL+M/G3hD4d+G73xh461i10LRdPTfPd3kqwxIOw3MRlieFUZLHgAk4oAn8W+LPDfgTwzqfjLxhqEWk6Lo8D3N3dTttjiijGWYnv6ADJJwACSBX8lH7Sfxt+Kn/AAUR/aSsPD3w/wBNubrTvOfT/DOkDjyrcnMl1PztR5AvmTOThEUKWKpk+xftk/tk/EP9u/4iaZ8AvgHpd5J4Qe9EdlZxgrda1cqfluLhTgRwRgF0RyAgzLKQQBH+0H7C37D3hT9knwX9u1HydX+IetwqNV1NRlYlOG+x2pYArChA3NgNKw3NgBFQA6P9i79jDwP+yN4DFlaeXq3jTV40Os6xs+aRhz9nt8jclvGeg4Ln535wF+06KKAPxe/am/bM/ae/Yw/aamvfHOmWvi34O+LVjfSLeOMW0lukCIlwkVwAWFyjne6y70dWUp5eTs/Sf9n/APaW+EP7TPhIeLfhTrS3oiCi8sZgIr6xkYcJcQZJXoQGBZGwdjMBWd+1T+zx4b/ae+C+t/C7XgkN3On2jS7xlybLUYgfImGOduSUkA5aNmXvmv49/C3jD4w/ssfF64vvDd9c+FfGXhS8ms7pFPG+B9ssEyHKSxMV5VgVYYPoaAP7k6/NX/grQm/9ivxK39zUdJP/AJNIP6161+xH+2D4d/a8+GL6+lumleLNCaO31vTkbKRyupMc8OSWME21im7lWVkJO3c3l3/BWFc/sTeLT/dvtJP/AJOxCgD8eP8Agjt/yd63/Yu6l/6HBX9VFfyi/wDBI7WtH8O/tU3mueIL6DTNNsfDOpy3FzdSrDBDGrwZeSRyFVR3JIFffP7Wf/BXvwr4bt73wP8AsvRr4g1tsxP4guIj9gtz0JtYnw1w4PRnURZwQJVOKAPv79r39s74Z/skeD/7Q8QyLq3ivUY2OlaHDIBPcMOBJKefJt1P3pCOeQgZuK/kd+Nnxp8fftAfEfVfif8AEe++2atqbcKuVgtoFz5dvAhJ2RRg4UZJPLMSxZj9l/C39g/9sf8AbA8TTfEXxtDdaRa6xIJrnX/E7SRyTg94YGBnlG3/AFe1FiwAodRiv28/Zv8A+CYP7OXwFNrruvWX/CwfFUGG+36vErW0Ug729l80SYOCGkMrqeVcdKAPBf8Aglj+1b8TvG/h61+Bnxb0PV7k6bbbtC8QyWdw1vNaRJkWtzcbNgeNB+5kZsOo2E7wu/8AZikACgKowBwAKWgAooooAKKKKACiiigAooooA/Cz/guFMF8DfCq3z9/UdTb/AL5hhH/s1fEH/BH3Tft37YcF1jP9naDqc/03eVD/AO1K+xP+C5Vzs0r4N2ef9bNr0n/ftbEf+z188/8ABFPT/P8A2mPFupMMi18JXKD2aW+ssfopoA/p0ooooAKKKKACiiigAooooA5jxm/jCPwpqknw/Syl8RpA7WCaiZBaPOOVSYxEOqt0LLkrnODjB/Azxd/wVv8A2p/AvjbUfhx4q+EWkWHiXSpmguLFhetMrjpgLIdysCGVlyrKQykgg1/Q1US28CTPcJGqyyABnAAZgOgJ6nFAH4KWX/BTH9urU7Zbz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AH9sVFfyUf8PZP21/8AoarD/wAFNn/8bo/4eyftr/8AQ1WH/gps/wD43QB/WvRX8lH/AA9k/bX/AOhqsP8AwU2f/wAbo/4eyftr/wDQ1WH/AIKbP/43QB/WvX5M6t/wVn+DPh79pfVPhFrNsf8AhBbFlsB4mgYyouooxE7PEoO60BwgkTJBUuAyMCv44+J/+Con7Zfizw7qfhjUfF9vBaarby2sz2un2tvOI5lKP5cqRh0bBOGUhh1BBwa/PegD++zSdW0vXtMtda0O8h1DT76JJre4t5FlhmikG5XR0JVlYHIIJBFaFfyRfsF/txfGb9n7xfpfw10qwvPHfhDXLpYR4eizLdRzTNy+nddkhJyYv9XJznax8xf61rWZ7i2huJIXt2lRWMcm3ehYZKttLLkdDgkZ6E0AT0UUUAFfnD/wVftPtP7EvjCbGfst5pEn0zfQx/8As9fo9XwN/wAFP7YXP7DPxMU9UXSZB/wDVbQ/yoA/lK+Ffxo+KnwR8Qr4o+FPie98NagMb2tZMRzBeQs0LZimT/ZkVl9q/br9nT/gs9azfZfDn7TPh7yG4T+3dFQsnpuuLIksPVmhZs/wxCv596/W3/gl5+xR4E/aP1jWPih8UZvt/h7wfeQ26aMAQt7cunmg3D/88EGMxrzIeGIUFXAP6Y/A3jnwn8SvCWmeOvAupR6voOsRedaXUQYJLHkjIDhWBBBBBAIIwRXWVWs7O0060g0/T4EtrW2RYooolCRxxoNqqirgKqgYAHAFWaACiiigAooooA8f/aFO34BfEtj28M6yf/JKWv4g/C/izxR4I1y18TeDdXu9D1eybdBd2U7288Z/2ZIyGHvzzX9uH7S0wt/2cvirOekfhTXG/KwmNfw30AftL+zp/wAFj/ib4N+y+Hv2g9IXxtpKYQ6pZCO21WNR3dPlguMDoP3THqzsa/ej4E/tFfCL9pHwrJ4u+EeuLq1rbMsd1E0bw3NpK43COaKQBlOM4IyrYJViOa/lU/YA/ZZ0D9rL44TeCPFupz6boOiabJq94LVR51ykU8MIt0dsiPeZsl9rYCkAZII/rk+Hnw48DfCfwjYeBPhzotvoOhaau2G1tl2qD3dics7seWdyWY8sSaAO2ooooAKKKKACiiigAooooAKKKKACiiigAooooAK/kF/4Kj232X9uf4kMvAmGjyD8dKtAf1Br+vqv5Iv+Cr8HlftteL5P+e1lpD/lYwr/AOy0AV/2bv8Agpv+0b8Afsuh6vf/APCfeFINq/2dq8jPPFGO1tefNLHgcKr+ZGo6IK/f79m3/goZ+zn+0kbXRdH1j/hGfFlxtX+xdXKwTySHjbbS58q4yfuhG8wjkotfx62FlPqV9badagGa6kSJATgbnYKMntya/rC/Ym/4JwfD79mS3tPHPjfyPFfxJZA32wputNNLDlLJHAO7sZ2Acj7ojBYEA/S+iiigAooooA/mv/4LA/szeK/DPxCt/wBo/Tby81fwz4k8qyvEnlef+yryNcRpHuJ2W06gsij5Uk3jgMgr5A/ZJ/b/APjN+ytfQaPaXDeJ/AzPmfQryRtkYY5ZrOU7jbv1OADGxJLITgj+tH4p/DXwr8Yfh5r/AMMvGtt9q0XxFavazrxuXdykiE5xJG4V0bsyg9q/iP8AjP8ACrxH8EPin4m+FHitf+Jl4bvJLZnAKrNH96GdAedk0TLIuedrCgD+zH9nj9pX4UftO+CU8a/C/U/tCxbUvbGbEd7YTMM+XcRAnGcHa4JR8Eqxwce+1/Dh+z58fPH37N3xN0v4m/D+7aK5s3CXVqzEQX1oSDLbTqOqOBwcZVsOuGUGv7W/hx470P4oeAPDvxG8NMW0vxLYW2oW+776x3MYkCuB0Zc7WHYgigDtKKKKACiiigAooooAK/Hv/h6PpPwq/aa8efAv4+6cLfw9pGsz2una7YxszW0BIaNLy3XJdVDY82IbgAMxsctX7CV/Gp/wUQtxbftpfFWMDGdTjf8A7+W0L/1oA/sM8L+KvDXjbQLLxV4P1S21rR9RjEttd2kqzQSoe6uhIPofQ8Hmt+v4dfhJ+0t8ePgTb3tn8JfGt/4ctdQIae3hdXgdx/H5UqvGHxxvChscZxXsn/Dxb9tX/oqmo/8Afm0/+MUAf2TV8N/t9/tX2v7KvwTudX0eaM+NvEnmWOgwsAxWbb+9u2Q5BS2Vg3IILlFIwxr+b3/h4t+2r/0VTUf+/Np/8Yr5++LXxw+K/wAdtbtPEfxb8S3PiXULGAWsElxsURQ7i+1UjVUGWYknGT3PAoA/pV/YN/4KQ+GP2jbaz+GfxUkg0H4lxIEiPEVprO0cvb54SfHLw9/vR5GVT7S8f/tU/s7/AAr8SzeD/iP4903w7rUCJI9reyNFJskGUcAjlWHQjI6jqDX8RVrdXNlcxXtlK9vcW7rJHJGxR0dDlWVhgggjII5Br98PgR4E8e/8FM/2b7zRPjxoUlprvg1DD4W+ILKFkvJBw9rcocPcIpAEsiZBPJxMpLgH6of8N4fsef8ARWtB/wDAj/61H/DeH7Hn/RWtB/8AAj/61fyA/Fv4SePfgd491P4bfEnTH0vW9LfDoeY5Yz9yaF+kkUg5Vh16HBBAt+GvgX8bfGcST+EPh94h1yJ/uvY6Vd3KnPo0cbCgD+vP/hvD9jz/AKK1oP8A4Ef/AFqP+G8P2PP+itaD/wCBH/1q/jc8W+DvFngHxBdeE/HGj3ega1Y+X59lfwPbXMXmosib4pArLuRlYZHIIPQ1gQQTXU8dtbRtLNMwREUZZmY4AAHJJPQUAf2hf8N4fsef9Fa0H/wI/wDrUf8ADeH7Hn/RWtB/8CP/AK1fyn/8MZ/tZ/8ARIPFX/gouv8A43R/wxn+1n/0SDxV/wCCi6/+N0Af1Saj+37+x1pun3Wov8VdGuFtYnlMcEpllcIpbbGiglmOMKo5J4r+db4g/wDBSf4/a5+0rN8e/BGqy6LYWf8Aoen6JKxksf7LV9wguoQQsjy/fkcEMHPyMoVNvy94w/Zm/aH+H3h278X+Ofhvr+g6JYeX9ovb3Tp4LeLzXWJN8joFXc7KoyeSQOprw6gD+yf9j/8Abg+Fv7W3hwLo8i6H40sYg+o6FPIDKmMAzW7cefBn+IAMuQHVcqW+1a/iP/Zc+E/x7+KvxY0q1/Z4iu7fxJpcqXI1SCRreHTVzjz57gcRpjIxyX5VVcnaf7Q/AVh4x0rwZoum/EHVbfXPEltaxpqF9a2/2SG4uFHzyJDubYCfQgE8hVB2gA62iiigAooooAKKKKACiiigAr87/wDgqpaC4/Yd8ezEZ+yz6PJ9M6nbJ/7PX6IV8Gf8FOYfP/Ya+J6HnEWlt/3xqto39KAP5ALG+vdMvIdR024ktLq2cSRTROY5I3U5DKykEEHoQciv1B/Z6/4KyftFfCL7NonxEdPiV4eiwpXUZDHqUaD/AJ53yhmc/wDXdJSegZa/LSv1g/4JPfsw/Dr4+/FDxH4w+JMP9p2Pw9SwuLfTJFBtrq5vGm8trjP3o4vIJ8vGHJG75QVYA/pI+CnxTt/jV8MtC+J1noWpeHLbXoBPDaarEkNyIzwr7Udxsf70bZG5CGwARXqlIAFAVRgDgAUtABRRRQAUUUUAFFFFABRRRQAV/Gt+2jrPiDwH+3B8Ttf8Kalc6Nq1j4gmube7tJXgnheQK+5JEIZT83Y1/ZTX8bv/AAUbt/sv7a/xTjxjdf2z/wDfyzgf+tAH3f8As7/8FmfE/hbQv+Ed/aK8PS+LJbVALfVtL8qC7lxxtuYHKRMcf8tEKdOUYktX0l/w+0+A3/Qh+Jf/ACT/APkiv5zfA/hLUfH3jXw/4E0iWKG/8R6haabbyTllhSa8lWFGkKqzBAzAsQpOOgJ4r9Wv+HKf7UP/AENng7/wM1H/AOV9AH2x/wAPtPgN/wBCH4l/8k//AJIo/wCH2nwG/wChD8S/+Sf/AMkV8T/8OU/2of8AobPB3/gZqP8A8r6P+HKf7UP/AENng7/wM1H/AOV9AH2x/wAPtPgN/wBCH4l/8k//AJIo/wCH2nwG/wChD8S/+Sf/AMkV8T/8OU/2of8AobPB3/gZqP8A8r6P+HKf7UP/AENng7/wM1H/AOV9AH2x/wAPtPgN/wBCH4l/8k//AJIo/wCH2nwG/wChD8S/+Sf/AMkV8T/8OU/2of8AobPB3/gZqP8A8r6P+HKf7UP/AENng7/wM1H/AOV9AH2x/wAPtPgN/wBCH4l/8k//AJIo/wCH2nwG/wChD8S/+Sf/AMkV8T/8OU/2of8AobPB3/gZqP8A8r6P+HKf7UP/AENng7/wM1H/AOV9AH2x/wAPtPgN/wBCH4l/8k//AJIo/wCH2nwG/wChD8S/+Sf/AMkV8T/8OU/2of8AobPB3/gZqP8A8r6P+HKf7UP/AENng7/wM1H/AOV9AHsn7RP/AAWRsvGPwx1Hwp8BfD2q+GvEerD7O2qX7QA2lu4Ike3EMjnzz91WONmSw+YCvx4+DHx4+KPwB8fW/wAR/hlrUunatGcThiZILyJjueG5jJxLG56g8g4ZSrAMPV/2rP2NfiZ+yBfeHLD4karpGqSeJ47qW2OkzXEoQWhjV/M8+CDBPmDbtDd847/JFAH9h37Gn7eXwy/a00RNLQp4d8fWUW6+0SWTJkCj5p7NzgzQ9yPvx9HGNrt93V/Ov+wD/wAExfEOuHwp+0R8Xtbn0LTpEttX0TTtJuWivp45FWaCee6hIMCOhDBI28wg/M0ZGD/RRQAUUUUAFFFFABRRRQAUUUUAZWva5pPhjQ9Q8Sa9cpZaZpNvLd3U8hwkUECGSR2PoqqSa/iK/aT+M+pftBfHHxf8W9R3omu3rtaQueYLKICK1iPbKQqgbHBbJ71++n/BYH9ppfAHwvsv2fPDF1s13x0on1Mo3zwaRE/3T3BuZV2j1RJFP3hX8zNAH07+zN+1x8Y/2VvE/wDbXw51PzNKunVtQ0e6LPYXqjjLxgjZIBwsqEOOmSuVP9S37KH7b/wc/ax0RV8L3X9jeLbaLfe6DeOv2qLH3pIW4FxCD/GgyON6oSBX8aVskElxEl1IYYWdQ7qu8qpPLBcjJA5xkZ9a/rl/Yl/Yi/Zt+CnhbQvil4DnTx5r2rWiXNv4muVB/dzp1soeVtlKsQfvS4JVnI+UAH6I0UUUAFFFFABRRRQAUUUUAFFFFAHwF/wUm/aC8X/s7fs2z+Jfh9dS6d4m1nVLLTrK9jiWX7KSxuJZGDq0eGjhaPDggl+hr8+f2df+Cz8yta+Hf2mPDodeEOu6KmGHbdcWTHB9WaFh/sxGv3c8Z+C/CnxE8Lal4J8caXBrWh6vCYLq0uF3xyIfXuCDgqwIZWAZSCAa/kx/b3/Yc179kvxomr6AZtU+HPiCZhpl6/zSWsvLGyuWAx5iqCUfgSICR8yuFAP6sfhl8W/hr8ZvDUXi/wCFviOz8SaTLgGa0kDGNiM7JYziSJ8dUkVWHcV6JX8Jnws+L/xL+CfiqDxp8LPEN14d1aHAMls+ElQHPlzRNmOWMnqkisp9K/pY/YZ/4KY+F/2jLmz+GHxVhg8M/EN122zxkrYasyjkQ7iTFP3MLEhuqMSdigH6t0UUUAFFFFABX8//APwV98f/ABA+Evxs+Fnjv4beIb7w3q50i9hFxYztCzLFcK2xwpw6HfyjAqe4Nf0AV/PR/wAFx4AviD4QXP8Az0tdaT/vh7M/+zUAZP7PX/BZ3xZo32bQP2kPDq6/ajCHWdIVIL0D+9NakrBKfUxtDgdFY1+33wX/AGkPgl+0HpP9rfCTxZZ66UQPNaqxivbcH/ntayBZkGeNxXaf4Sa/hyr9Pf8AgnP+xH4++P8A43svipf3t/4T8CeHLkMdTspZLS8vriM829lMhV1x0lmU/IPlU7z8oB/V/RTIo1ijSJSSqAKNzFjgcckkkn3JyafQAUUUUAFFFFADWZUUu5CqoySeAAK8t+Gnxv8AhF8ZBqf/AAq7xbp/iVtGuHtrxbOdXeGSNihLJw2xiDskAKOOUZhzWf8AtB/Cy8+NnwW8X/CzT9auPD934isJLaG9t3aNo5DhlD7eWhcjZMg+9GzL3r+L9br4tfs1/Fa8ttPvb3wd428J3ctrK9tIYpYpYmw65Xh43x0OUkUjgqeQD+6SivxI/Y5/4K3eHfHEtj8PP2m/I8Pa7Jtig8QRARaddMeALtOls5PVx+5JyT5QAz+2cM0VxEk9u6yRSKGR1IZWUjIII4II6GgCSiiigAoqrY31jqdpFf6bcR3dtON0csTiSN19VZSQR9DTru6trG1mvr2VYLe3RpJJHOFREGWYk9AAMk0AfzD/APBZr4jJ4m/aS0TwBay74PBmixLKmfuXeoObh/zg8g1wv7Jf/BUT4xfAH7F4Q+Ihl8feB4dsaw3Mv/Exsoxx/o1y+d6qOkUuVwAqNGMmviH9ob4oz/Gv44eN/inMWMfiPVLm5tw/3ktN2y2jOf7kKov4V5l4f0DWPFWvad4Y8O2j3+q6vcxWlpbxjLzTzuI44192YgCgD+3H4EftI/B39pHwwPFHwm1+LU0jC/arN/3V9Zu38Fxbt86c5AblGwdjMOa/I/8A4LNfs9eJtX0zQf2jNCu7u90vRUXS9VsXleSCzWV/3F3FGSVjDuwim24y3lHGdxr1f9hb/gmBP8B9f0z4xfFzxDPJ4ytRvt9M0i5kgs7XcOVuZ4yj3J6BoxiHqG81Tmv1k8b+DfD3xE8H614E8WWovdG1+0msruE/xQzoUbB7MAcqw5BAI5FAH8dP7K37anxk/ZQ15ZvB16dU8MXMge+0G8djZzg8M8fUwTY6SJ1wN4dRtr+qr9mT9qz4UftV+Ch4q+Hd6Y760CLqWlXBVb2wlYcCRQfmRsHZKuVbB6MGVf48fjr8Jdb+BXxe8VfCXxBl7vw3fSW6ykbfPgOHgnA7CWJkkA9GqP4L/Gf4gfAL4haZ8S/htqLafq2mtypyYbmEkeZbzoCA8UgGGU+zKQwUgA/unorxD9nL45+HP2jvg54d+LnhlDbw6zCRcWrNue1u4WMdxAx4zskB2tgbl2tgA17fQAUUUUAFFFFABVW+knisriW2AMyRuUyMjcAcZ/GrVBGeDQB+Xf7In/BUH4SftA/YvBnxG8nwH47m2xrDPJjTb+Q8f6LO5+R2PSGU7skKjSHNfqJX8Bt7B9lvLi2/54yMn/fJIr7b+Gf/AAUd/a9+FPhO18FeG/Gxu9LsfltxqVrBfywx4wI1mnRpNi4+VSxCjhcDigD+xeiv5KP+Hsn7a/8A0NVh/wCCmz/+N0f8PZP21/8AoarD/wAFNn/8boA/rXor+Sj/AIeyftr/APQ1WH/gps//AI3R/wAPZP21/wDoarD/AMFNn/8AG6AP6qPH3jvwt8MfBes/EDxtfJpuh6DbSXV3O/8ADHGOgHVmY4VFHLMQoySK/Of9kn/gqH8Lv2ifFV18PvGlmvgbxHc3cq6OtxMGttQt2c+REJTgJdBcKyH5ZG5jJJ2L+A/xz/bp/aU/aL8Hx+A/ih4kju9CS4S6a2tbSC0WWWMEJ5phRS6qTkKTt3YbGQCPkNWZGDKSCDkEdQaAP7+6K/B7/gl3+3N8ZviP4htv2fPiHpN940tbS3Z7bxBGN8+nwRDhdRkcgPEcbUlJ83cQpEmRt/eGgAooooAK/nc/4LiWmzxh8Jr/AB/rrDVo8/8AXOW3b/2ev6I6/AH/AILmWw/4svdjr/xUKH/ynkf1oA/Kb9n/APbM/aF/Zquo0+G3ieX+xlfdJo99m602TJy37hj+7LHq0LRuf71fvN+zZ/wVz+DPxWuLHwp8XLCXwB4lu2SFJhuutLuJXIVQsqjzISx6LIm0dPNNfy6V/TT/AMEwv2HPhz4N+H/hn9pbxYE8ReL/ABHbLe6aJU/0fSYZMhTErfeuCOWlP3c7UA+ZnAP2TooooAKKKKACv4k/2h9X17wP+1l8U9U8Lalc6PqemeMdeNvdWcz288TLqEwDJJGVZTjuCK/tsr+Jn9suD7P+1n8YI+mfFWrv/wB93Tt/WgD7p/Z6/wCCwXxs+Hf2bQfjVYR/EPRI8IbvK2mrRoOM+ao8qfA7SIHY9Ze9fuj+z9+2p+zv+0rFFbfDjxPGmuOhZ9G1AC01JNo3NiFiRKFHLNC0iju1fx2fC34da58XPiN4c+GXhmSGLVPE19DYW73DFIUkmbaGkZQxCjqcKTjoCa/rl/ZA/YY+FP7JehLc6TGuveNryIJf67cRgSkH70VsnPkQ5/hBLNwXZsKFAPtqiiigAooooAK/Iz/gtDZC5/ZT0G5xzaeLbGTPs1lep/7MK/XOvyu/4LDwCX9kAyf88fEOmv8Amsy/+zUAfzMfDP4tfEv4NeI4/Fvwu8SXvhvVY8Ay2kpQSKDnZLGcpKmeqSKynuK/cL9m7/gs1by/ZfDP7TuheS3yp/b+jxkp6brmyySPVmgJ9FiFfz81+3H/AATD/YJ+FPxx8JyfHr4tO+u2lhqc1jaaER5do0lskbmW6cHdKpMgxENq8fPvB2gA/oV8B+PvBnxP8KWHjn4f6vb67oOqIXt7u2bdG4UlWHYqysCrKwDKQQQCMV19U9O07T9IsLfStJtorKytI1ihggRY4oo0GFREUBVVRwABgCrlABRRRQAUUUUAFfMXxr/bG/Z5/Z21+08M/GPxHceHb6/h+0W27StRuIZowcExz29tJExU8MocsuRuAyM/TteFftEfs8/Df9pf4b3vw5+JFn5lvJmW0vIwBc2FyAQlxA5Bww7g/Ky5VgQaAPnH/h6V+wt/0Uhv/BNq/wD8h0f8PSv2Fv8AopDf+CbV/wD5Dr+ZL9of9mL4kfs6/FGX4Z+Irb+1WuSX0q9slMsOpW+cLJCF3EOOjxn5kbjkFWa94X/Yx/av8YxJcaF8KPETwyYKSXGny2kbA9Cr3AjUj3BxQB/S/wD8PSv2Fv8AopDf+CbV/wD5Do/4elfsLf8ARSG/8E2r/wDyHX89Ef8AwTb/AG3JV3L8LbwD/avLBT+RuAak/wCHa37b3/RLrr/wO0//AOSaAP6E/wDh6V+wt/0Uhv8AwTav/wDIdH/D0r9hb/opDf8Agm1f/wCQ6/ns/wCHa37b3/RLrr/wO0//AOSaP+Ha37b3/RLrr/wO0/8A+SaAP6E/+HpX7C3/AEUhv/BNq/8A8h0f8PSv2Fv+ikN/4JtX/wDkOv5LPGfg7xL8PvFWq+CPGNk2m63olw9reWzMjtDNGcMhaMspwe4JHvXUfCX4NfEz46eKm8E/CjQ38Qa2lvJdm2jliiYQRFVd90zxrwXXjOeelAH9Vf8Aw9K/YW/6KQ3/AIJtX/8AkOj/AIelfsLf9FIb/wAE2r//ACHX89n/AA7W/be/6Jddf+B2n/8AyTR/w7W/be/6Jddf+B2n/wDyTQB/Qn/w9K/YW/6KQ3/gm1f/AOQ6P+HpX7C3/RSG/wDBNq//AMh1/PZ/w7W/be/6Jddf+B2n/wDyTR/w7W/be/6Jddf+B2n/APyTQB6//wAFBP8AgoRrH7TOrzfDf4aTzab8MNOlB5DRTaxLGcrPOpwywqRmKE89HkG/asfgH7Gf7Ynjf9kb4hrremeZqfhLVmSPWtI34W4iBwJos8JcRAko3QjKN8p46D/h2t+29/0S66/8DtP/APkmoLn/AIJv/tq2dvLeXnwzuIIIEaSSSS/05URFGWZmNzgADkk9KAP63/hh8TvBHxj8DaT8Rvh3qceraFrMQlgmTgg9GjkXqkiNlXQ8qwINd9X81P8AwTk0r9tn4IanZeL/AAb4Gn8Z/CTxZIDqFvZanp0sZKN5bXVqftWFuItpVlOA4Gx8EKyf0pxv5iK+Cu4A4IwRnsR60APooooAKKKKACv5I/8Agq/4jj179tXxXZRNvXQ7LS7HIORn7JHcMPwMxB981/W5X8Pn7UfjtfiZ+0b8SfHMMnm22q69fvbNnObVJmjt/wDyEq0Aek/s1/ty/tAfsv3UNp4K1o6n4aD7pdC1ItPYMCcsYhuDwMeu6JlyfvBhxX9E/wCy7/wUr+Af7R0ll4Z1G4/4QfxrdFY10rUpF8q5lbgLaXeFSUkkBUYRyMeFQ9a/lX+Ffww8ZfGb4gaJ8M/ANkb/AFzXpxBBH0RR955JGwdscaAu7dlBNf1zfspfsLfBf9lzw/YS6XpcGueNliH2zxBdxB7lpWHzi2DZ+zxdgqYJXG9mPNAH2rRRRQAUUU13SJGkkYIiAkknAAHUk0Afy2f8Fj/iD/wlH7Utn4Lt5d1v4M0S1t3TOdt1eFrtz7ZikhH4V4F+yz/wUG+PH7L01toum3v/AAlHgxGG/QtSkZoo0zz9km5e2brgLmPJy0bGvn/9o74mv8ZPjx48+J3mGSDxBq91PbE9RaBylsv/AAGFUX8K8VoA/s2/Zi/bl+A/7U1lFa+DtV/snxSE3T6DqJWK9XaMsYedtxGOu6MkgYLqhOK+xq/Cn/gnJ/wTc8O2Ph7Qf2hfj1YyXWuXhi1DQ9HkZo4rOEYeC5uVGC8z8OkZO1FwXDOcJ+61ABRRRQAUUUUAFFFFAH5Vfs/f8FWvgt8RdYk8CfGNF+HPii3ne18+4k36RcSRuUytycGAnGSswCr081jX6nWt1bXttFeWUqXFvOiyRyRsHR0YZVlYcEEcgjrX8JfxatRZfFXxnZAYFvrWox4/3LmQf0r0j4Xfta/tI/BfQ28M/DP4ganoukM28Waus0EbdzHHOsix5z82wDd3zQB/bnRX8bP/AA8W/bV/6KpqP/fm0/8AjFH/AA8W/bV/6KpqP/fm0/8AjFAH9k1eWfGb4zfD74CfD7UviX8S9SXTtH05eAMNNcTMD5cEEeQZJZCMKo9ySFDEfyWf8PFv21f+iqaj/wB+bT/4xXiXxe/aK+Nvx6bTj8XvF154lXSQ/wBljuCixQmTG9ljiVE3NgAtjOABnAoA/oM/ZG/4Ks+G/jj8U9T+G/xV0228HNrN4R4ZuFkJheNsLHZ3UjnAuGPKSDakjHYFVtgf9h6/gEBKkEHBHev6av8AglZ+2L8TfjVol18H/iVpd/rcvhe3U2viYRNJC0K4C2t/MePtAH+qcndIoO75l3OAfsjRRRQAUUUUAfjF/wAFs7QP8APA1/jmHxOsef8ArpZXLf8Aslfzd+HPE3iPwfrNt4j8JapdaLqtk2+C7spnt54m9UkjKsp+hr+mD/gtXFu/Zd8Kzd08Y2Y/BtP1D/Cv5hKAP3C/Yw/4Ke/tN6/458P/AAb8XeHB8VZdYmS2gmh22eqxr/FJJKq+RJHEgLO0iIcAs8vev6Oq/Hr/AII7/BbwHoPwFk+NlvZCbxd4ou7uzmvJcM0NpaS7Fgh4+RGZd792bGThVA/YWgAooooAKKKKACiiigAoorlfHXjTw/8ADnwZrnj3xXcC10fw9Zz313J3WG3Qu2B3YgYUdSSAOTQB/O9/wWm+McfiH4p+Evgnpk4eDwjZPqN+qnj7bqOPLRx/ejgRXHtNX4y6D4g13wrrFp4h8M6jcaTqlhIJbe7tJXgnhkHRkkQhlPuDXZfGL4na58Z/il4o+KfiM/6f4mv5rx0zuESO37qFT/dijCxr/sqK4fR7O01HVrLT7+/i0q2uZo45budZHit0dgGldYUkkZUHzEIjMQOFJ4oA/cH9kr/grx43sL3Tfh7+0TpM/iyC4dLe31nS4A2phmO1RPaoAtx2+aMLJjnbIxr+hzS9Rt9X0211W0WVILyJJo1nhkt5QsihgHhmVJI2weUdVZTwQDxX4sfstfHn/glj+yt4YtrLwj46i1HxO8QF/r1zoOrNe3MhHzhGNkTBDn7sSEDGNxdssfrf/h6N+wp/0Uz/AMo2sf8AyFQB9/UV8A/8PRv2FP8Aopn/AJRtY/8AkKj/AIejfsKf9FM/8o2sf/IVAH39Waus6O+sP4eW+gOqxwLdPaCVPtC27sUWUxZ3hGZWUNjBIIzkGvzV+J//AAVm/ZJ8MeBdX1r4c+JX8ZeJYIT9g0tNO1G0E87cL5k1zbRRpGpO5zu3bQdoLYFfzgXX7Ufx0ufjjN+0VH4qubbxzNOZvtkRwix9BbCI5Q24UBPJYFCowQaAP7e6K/OD9iD/AIKHeA/2ptOg8HeKvI8M/Eq3j/e6eW22+oBBlprFmJJ4G5oSS6DJBdQWr9H6ACiiigAooooAKKKKACvE/wBpa1+3fs5fFWxIz9o8Ka5Hj/fsJh/WvbK8x+NkH2r4NePbbGfO0DVE/wC+rSQUAfxN/C/4xfFH4K+IU8U/CvxNe+GtSXG57SUqkqqchJojmOVM/wAEisvtX7bfs6f8FnlP2Xw5+0z4eweE/t3RU49N1xZMfxZoW/3Yq/n/AK+vf2KP2Vrz9rn4xj4e/wBrromk6ZaNqep3AG+f7HFLHEyW6kFTK7SqAW+VRljuwFYA/r7+GPxb+Gnxn8NR+L/hb4js/EukyHaZrSTcY3xnZLGcPE+CCUkVWA6ivRK82+Evwi+H3wO8Daf8OvhlpEWj6Lp6/LGnLyyEDfNNIfmklfHzOxJPA4AAHpNAH5af8FV/i58T/gb8KvAXxG+FHiC58P6ta+Jkt3eEgxzRS2dw5inicNHLGTGDsdSMgHqAa8k/Zc/4LAfD/wAc/ZPCP7RtnH4N1t9sa6xbBn0mdumZVJaS2JPc74+pLoOK7H/gtHbCf9lTw9Njm38X2L/nY3y/+zV/LxQB/e1YeL/Ceq2UGpaZrdjeWl0iyQzQ3MUkckbjKsjqxDKRyCDg1b/4SDQf+glbf9/k/wAa/gaooA/vl/4SDQf+glbf9/k/xo/4SDQf+glbf9/k/wAa/gaooA/ul+KPxv8Ahf8ABzwNqnxE8e6/bWWj6THvcrIsksrnhIoYwcvI54VR1PXAyR+AXhj/AILFfEhP2jLjxf4n0wH4U35Wz/sKJUa5s7ZWO27jl4L3XJaRSQjj5Btwrr+K9FAH96Hgbxz4S+JfhLS/HXgXVIdZ0LWYVntbqBspIh478qykFWVgGVgVYAgiusr+U7/gl9+0L8evh58WoPhn4B8P3/jnwfr8yvqmk24yLHcQhv4pZCsUDIMB/MZUlACkhtjL/VjQAUUUUAFFFFABRRRQB8mftrftIXX7K/wJvfinpVjb6nqi39hZWlrdFlineeYGZSUIYH7OkpUjOGAJBAIPH/ss/t/fAn9qS3t9I0e+/wCEa8ZMuZdC1F1WdmAyxtZeEuV6n5MOAMtGor80v+C2vxbjuNU+H/wNsJs/Y0m1+/QHIDy5trPPowUTkg84YHoefwZt7i4tLiK7tJWhnhZXjkRiro6nIZWHIIPIIoA/v2or+b39hL/gpV+0G/irRvgv460DUPi3aXjLDbT2aiTXLaMYBd3YqlxEg5Zp2RlGWabAxX9IKklQSCpI6HqPyoA/J7/gsrZi5/ZJsJiM/ZPFGny/TNvdR/8As9fzH+DPHPjP4da9B4o8Ba5e+HtXtv8AV3VhO9vMB3G6MglT3U8HoQa/qQ/4K9wCb9ji/k/5463pj/m7r/7NX8otAH7R/s//APBZT4qeEPs2h/HzRIvG+mJhTqNkEs9URf7zIALecgdBiInqXNfvx8DPjn4C/aH8AWnxJ+HLXj6Rds0Y+22c1pIJExvUeYoWQKTgvEzpnIDEggfz7f8ABKj9jr4Q/H9vEfxP+K9tJrkXhO+gtrXSXIWylkePzfMuAPmlA4AjyEPO8ODiv6YLKystNs4NO063jtbS1RYooYkCRxxoMKqKoAVQBgADAFAFqiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA/jm/4KTWgsv23PilCBjdd2Un/AH9sLZ//AGavFfgl+038cv2eNU/tH4TeLLvRoncPNZFhNYXB7+bay7omJHG7aHA+6wr6H/4Kjw+T+3T8SscCT+x2H46RZ5/Wvz/oA/qR/YX/AOClWuftPeK4PhX4y8AXFv4jWB55dU0b95piRxj5pLlJm32yk4VcPLuchRjIFfrXXzX+y3+y/wDDn9lf4b2/gfwLB595chJtU1SVQLnULkDl5CM7UXJEcYO1F9WLM30pQAUUUUAFFFFABRRRQAUUUUAFeS6p8d/g/ofxSsvgrrPiuxsfGuo2qXdtps0nlyzRSMyKEZsIZGKkrFu8wj5gpXmvWq/kO/4KS/A74r/CP9pPXfGHjzUJ9d0/xvdS6jpWsMNvmRAgC2O35UktF2R7VwNgRlABAAB/XjRX8yH7HH/BV7xz8LHsfAH7Qr3Hi/wiu2KHVM+Zqunp0Bdic3US9wx80DozABK/pD8DeO/B3xL8K6f428A6vb67oWqRiS2u7V98br0I9VZTwysAykEMAQRQB1lFFFABRRRQBj+Idf0fwpoGpeKPEN0ljpWkW015d3EhwkUECGSR2PoqqSa/iK/aQ+M2qftBfG7xd8W9TDRjXr1ntYXOTBZRARWsRxxlIUQMR1bJ71+73/BYb9p9fB3gKw/Zu8KXe3WPFyreayY2+aHS43/dwkjkG5lXJ/6ZxsCMOK/myoA/TD9jv/gpd8Vf2bWsvBfjXzvGvw9jKxiymkze6fH0zZTOfuqOkDnZxhTHktX9NfwT+PXwq/aG8HxeNvhRrsOsWJ2rPGPkubSUjPlXMLfPE49CMMOVLLgn+aj9h3/gmt4l/al0VviV451afwl4FWYxWzxQh7zUzGSJTbmT5I40I2+ayuCwKhTtYj+in9n/APZN+BP7Muny23wn8OJZX13EIrrUrh2uL+5UEHEkz8hSQCUjCJkA7c0AfR9FVry8s9Os59Q1CeO1tbWNpZZZWCRxxoNzO7NgKqgEkk4A5Nfix4n/AOCxvgDSf2jLfwlpGkjUPhPbFrO91tA5u5LgsB9st484a1jwRsK+ZIpLrjCowB+2FFY/h7xDofizQ7DxN4Zv4dU0nVIUuLW6t3EkM0Mg3K6MuQQRWxQAUUUUAFFFFABRXO+J/GHhLwTp39seM9bsdBsC2z7Rf3MVrDuIJ275WVc4BOM9Aa+Z/FP7ev7HPg4OdX+LOiT+X1GnzNqZ/AWSzZ/CgD66or8qvF//AAWH/ZG8Oh10Aa94pcZ2my08Qxk+5vJbdgP+Ak+1fJvjb/guDeMJIPhx8LI4zzsuNW1Ev9M28ES/pNQB/QPVS/1Cw0qzl1HU7mKztbdS0k0zrHGijqWZiAB7k1/Jt4//AOCsX7ZHjYSQ6Xr+n+ELeXIMej2EanHoJbo3Mqn3Vwa+GvHnxb+KXxRuvtvxI8Xat4nlB3KdRvZroIf9hZGZVHoFAAoA/rK+L/8AwUl/ZF+ECTwXPjOPxVqkOcWXh9RqLsR1HnoRbKQeCGmB9q/HT9of/gsF8Z/iNBdeHfgtpqfDvR5gyG83i61aRDxlZSBHBkf3EZ1P3Ze9fj7SgEnA5JoAuajqOoaxf3Gq6tdS3t7eSNLPPO7SSyyOcs7uxLMzHkkkkmv6E/8Agmf/AMFE/wDhIV0v9nL486n/AMTVQlt4e1q5f/j6A+VLK5dv+Ww4EMhP7zhGO/aX/DLwx8DPjX41CN4O8AeINcV+jWOl3VwpHrmONhj3r3TRP+Cf/wC2frISfT/hTrEJ4Km5EVmwPbieSMg0Af2a0V8FfsLeJ/2r18Ef8K6/ar8GXmm6poMKrYa9Lc2twL+3XCiK58maR/tCD/loRiReWIcEyfetABRRRQAV/KZ/wWBtPs/7YdxNjH2rQdMk+uPMT/2Wv6s6/lv/AOCzlusP7WOjyDrP4U09z9Rd3qf+y0Afm78MPjH8U/gvro8SfCvxRf8Ahm/yN7WcxRJQvIWaI5jlX/ZkVl9q/oI/YD/4KLfHf9ofxnbfCzxx4BXxG0CB7vxFpWLRLOLoJb2GQ+Sdx6eU6E4wkTHNfzW1/cP+zn8Evhv8BfhXo3gv4aaUmm2TQRXFxKfmuLu5kQF57iXGXdvyUYVQqgAAHutFFFABX5Xftt/8FMtE/Ze8Wf8ACrfBvhiXxH4xgFvPeG+ElrYQW8oDgI+A87unAKfu0J5ZmVo6/VGvzf8A+CkH7HFt+018Kn8U+EbMH4ieDoZJtOZB89/bDLy2LHuW5aHPSTgYEjmgDsf2Wf8AgoX8B/2oEttCsLz/AIRXxpIo3aHqUirJK+Ofsk3CXI64ACyYBJjA5r7vr+ApWubG5DoXt7i3fIIyjo6HqO4II+oNftl+xH/wVa8SeDbzTvhh+03ey634dcrBa+IXzJfWOeFF2eWuIR3k5lXknzBgKAf0h0VUsL+x1Wxt9T0y4ju7O8jSaGaFxJHLFIAyOjLkMrAggg4I5FW6APyh/wCCtPwN+K3xW+B1p4o+H2q3Vxpngt5b7VtAix5d3AFH+lgKNzyWoDHYxI2FmUBlw/8APf8AAT9rH48fs2amt58LPE89nYM++fS7gm40249fMtnO0E9C6bZAOjCv7bWVXUo4BVhgg8gg1/JJ/wAFL/2UIf2bfjYdd8I2n2fwP4582+05EGI7S5Vh9qsx2CozB4x0EbhRnYTQB+0P7Hv/AAU3+Fn7SFzZeBPHEMfgjx9cbY4raWTdYahJ0xaTtgrIx6QyfNyAjSHOP07r+AaOSSGRZoWKSIQyspwQRyCCOhFf1e/sHfthx+Mv2OLj4nfGzULl5vh5dS6Vq2opa3N9NLBBHFLFdSx2sc0rYilUSybTyjSOQCTQB+nlFfAP/D0b9hT/AKKZ/wCUbWP/AJCo/wCHo37Cn/RTP/KNrH/yFQB9/UV8A/8AD0b9hT/opn/lG1j/AOQqP+Ho37Cn/RTP/KNrH/yFQB9/VDPcQWsTT3MiwxLjLOQqjJwMk8da+B/+Ho37Cn/RTP8Ayjax/wDIVflh/wAFLf8AgoZ4O+NvhfTPg1+z7rUmo+F7zbea3qAguLT7S8b5hs1S5jik2IyiWQ7cM3lgH5WBAP6TaK/m9/YX/wCCqWq+Bf7P+E37S95NqvhxdsFj4hbdNd2K9FS8xl54R2kGZE6HeuNn9GGj6xpPiHSrTXdBvYdR02/iSe3ubeRZYZonGVeN0JVlYHIIODQBpUUUUAFFFFABRXH+LfiF4B8A2v23x14l0zw5b4z5mpXkNomPXdM6ivjL4hf8FOf2M/h8JYj44HiS8jz/AKPottLe7sf3Ztq2/wD5FoA+/aK/AP4of8Ful2zWnwX+HB3HPl3mv3PT03Wlqefwua/ML4y/t6ftU/HNJ7Hxf44urHSJ8htN0nGnWhQ9UcQYeVfaV3oA/pm/aD/b9/Zp/Z1jubDxL4lTXfEcGQNG0creXgcfwzFWEUB9RK6tjkKelfz8/tPf8FOvj9+0BPLovhe6f4eeElcMllpc7rdzBTlTc3i7JH/3IxGnqrEA1+blFAH9cX/BOz9tSz/al+HH/CN+L7mOP4keFYUTUo+EN9bjCJfxqOPmOFmC8JJzhVdBX6NV/Cj8HPi742+BXxH0X4o/D+8NnrGizCRM5MU0Z4kgmUEbopUJVxnocgggEf10+Av24fgb4u/Z70v9ovVdU/sbQJri20/U1cNM2lahO6xmG4EYLBVdlIk24KMsmApOAD7ForN0fWdI8RaVaa7oF9BqWm30azW9zbSLNDNG4yrxyISrKR0IJBrSoAKKKKACiiuR8UePvBPgm40e08X65Z6NN4hvE0/Tku5khN1duCVhiDEbnIHAHfA6kAgHXUUUUAFFFFAHlPxO+OPwl+DEugxfFPxRZ+Gv+EmuzZWDXj7ElmVd7ZbG2NFGA0jlUUsoLAsoPqUM0NxClxbussUqhkdSGVlYZBBHBBHQ1/O5/wAFlvgX8VH8X6R8fhfTa14GS2h0s24X5dFnyTyF6x3LnPmnnf8Au2OPKB+Mf2Q/+Cifxi/ZdubXw1fSv4v8ABgJNHu5TvtUJ5axmOTCR18s5ibn5Qx3gA/r1orw/wCAf7RPwp/aU8FR+OPhXq639uNq3VrJiO8sZmGfKuYcko3BwQSjYyjMOa9woAKKKKACiivhn/goN+05F+zL+z9qeraRciLxf4nD6Xoag/Ok8q/vboDri2jJcHBHmGNT96gD8DP+Co37Q0fxx/aVvtB0O58/w18PUfRrMqcpLdK+b2YdvmlHlgg4ZYlYda8Y/ZZ/bW+NH7KOtiTwXf8A9p+GbiQPe6FeszWU+fvPH3gmI6SR4zgbw6jbXyK7vI7SSMWZiSSTkknqTX2V+xt+xd48/bA8Y3mmaNdDQPDGjKranrMsJmjhZ/uQxRhk8yZ+SF3KFUFmI+UMAf07/st/tp/Bf9q7QxN4Jv8A+zvEltGHvdCvWVL2DHDMg6Tw56SR5AyN4Rjtr65r4c/Zv/4J7fs5fs1XVn4j8OaTJr/i20BK61qzCe4jdlKsYI1Cww8EgFE34OC5r7joAKK/If8AbF/4KneG/gF8R9O+Gnwt0628Y6hpN4v/AAkkrSEQQRKcSWcEiHBuv7znckRG0q7Fgn6P/BP42fDz9oL4ead8S/hpqIv9KvxtdGws9rOoHmW9xHk7JUzyOhGGUlSrEA9ZooooAKKKKACiiigD8uP+CiX7fuofsonw/wCCPhlb2Op+OdVxfXEd+jzW1rpyllBkSOSJi87ghMOMKjE9Vz8b+AP+C32rxtFb/FL4YwXCnHmXOjXzQlfXbb3CyZ/GcV+x37Qn7MXwe/ab8KN4X+KeipdyRKws9QhxFf2Lt/FBPgkDOCUYNG2BuU4r+Vn9sT9iD4mfsjeJVOr51zwZqUpTTdchjKxueSILhOfJnCgnaSVcAlGOGCgH9E3wg/4Kbfsi/F6eDTk8VN4Q1S4IC2viGIWOSe32kNJa5zwAZgT2FffkE8F1BHc20iywyqHR0IZWVhkEEcEEcgiv4CK/YP8A4JRftZ+N/Bfxj0j9nvxJqc2o+C/F3mwWUE7lxp1+qNLG0G7JSOYqY3jHylmV+CGyAf080Vh+JvE3h/wZ4f1DxX4r1CHStH0mF7i6urhxHFDFGMszMegA/PoOa/lv/bC/4KZfFL4u/FCym+B2t3/g7wf4TujLpjWzmC5v51yv2q6HdGUkJAwKhCd4JYgAH9Vlfzw/8FqfjnHqOv8Ag/8AZ60e43JpCnXNVVTkC4nUxWcbejJEZXIPaVDX6ufBP40fEzRP2T4fjf8AtZWVr4d1XTtOm1K8S3UxSNZxpuhaWBuI7qYf8sVONzKMKxMa/wAiXxl+KfiH42/FPxP8VvFLf8THxLeyXToDuWGM/LFCpPOyKMLGuf4VFAHGeHvEfiDwjrVp4j8K6nc6Pqti4kt7uzmeCeJx/EkkZDKfoa/dP9iL/gp58f8AxZ4j074UfETwXffFJpNqLqOiW6jVYI87fMuYxtt5I14zIzQkcszsa/Fj4S2fwzvfiDo8fxi1G80zwckwk1GTT4fPu3hTkxQrkANIfl3k4QEthiAp/ok+GX/BSn/gnl8GfDcfhL4W+H9S8N6VHgmK00hUaRgMb5ZDKXlfHV5GZj3NAH7IIxdFdlKFgCVOMjPY4JHHsadX5Zf8PhP2Pv8Anpr/AP4LR/8AHaP+Hwn7H3/PTX//AAWj/wCO0AfqbVe7u7WwtZr6+mS3trZGkllkYIkaIMszMeAoAySeAK/Lr/h8J+x9/wA9Nf8A/BaP/jtfB37fH/BT3wv8aPhgnwk/Z+bULOx14sNdvbuEWsrWq422kQDsdsp5lbjKgJyHbAB+9Pwg+Nvwu+PPhdvGXwo1+DX9LjnktpHiyrxTRnBSSNwroSPmXco3KQwypBr1Wv4gP2dP2kvif+zD4/g8efDW/wDLLbY76wmJazv7cHJinjBGe+1xhkJypHOf63P2V/2tPhh+1j4GXxR4IuPser2aouq6PO4N3YTMO+MeZExB8uVRtYcEK4ZFAPqOiiigAooooAKKKKACiiigAqG5t47u3ltZdwSZGRtjMjYYYOGUhlPoQQR1BzU1FAH8ef7e/wCx1r/7KXxSdrNptS8D+J5JbjR9QlJd1Od0lrcOes0WfvH/AFiEOOd6rwn7Mv7afxy/ZY1aNvAmrG+8OySb7rQr4tLYTAn5ii5zDIf+ekRUk43blG0/1qftH/AXwl+0n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wAmWeI/+wlpX/pUlAH4n/8ABJ7/AJPZ8Jf9eOrf+kUtf1t1/JJ/wSe/5PZ8Jf8AXjq3/pFLX9bdABRRRQAUUUUAFFFFABRRRQB/Mb/wWu/5OX8If9ijbf8Apwvq+3v+CJ3/ACbr41/7GqX/ANIbSviH/gtd/wAnL+EP+xRtv/ThfV9vf8ETv+TdfGv/AGNUv/pDaUAfspVTUI72awuYtNmS2u3idYZZEMqRyFSEZkDIWCnBK7lyOMjrVuigD+Xv44/8El/2urbXtX8ZaLqem/Eu41S5mvLiaG5FnfzzTOZJJJIrvZHuZiThZmJPTtXYfDT/AIKC/tQ/sXeGNA+Dvxh+DUNvoPh6BLOzSa3udHuZUTqwuWE1vMzHLM6RfMxJJOa/pUrO1bR9I1/T5tI12yg1GxuV2y29zEs0Ui+jI4KkexFAH5a/C/8A4LCfss+NDFaeOI9V8B3j4DNeWxu7QMeyzWnmPj3eJAPpX6I/Dv4yfCf4t2X9ofDLxfpXieJV3OLC7inkjB/56RqxeM+zgGvjH4y/8Etf2S/iz599pegSeBNWlyRc6A4tod3bdaOr24XPUIiE/wB4cY/Dz9rj9gT4gfsW29l8RbDx5p+p6PNdiCwmhlfTtY84jPyW+WzsHLPFK2OpCgigD6+/4LM/tJJqmtaH+zJ4aud0OkGPV9dKH/l5kQ/ZLZsf3I3MzA5B3xnqteH/APBIf9nd/iX8dp/jFrltv0D4coJYC65SXVrhStuozwfJTfMccq4jz96vyl1zXtc8T6tda/4k1G41bU71/MuLq7meeeZ+m6SSQszHjqSTX9Bn/BOj9uv9kj4XfCLQvgfr73PgTWo3ea9v9RUPY6hfzkeZMbmLPlDAVVEyIqIqrvYjJAP3borO0jWNI8QaZba1oN9BqWn3iCSC5tpVmhlQ9GSRCVYH1BIrRoAKKKKACvEv2lfCPiXx/wDs+fEfwN4Nthe654g8P6lYWcBkSISz3Nu8aJvkKouS2MsQB3IFe20UAfh1+yZ/wSptPglrmj/Hb9oXxhDDqnhKVNXisbCRYrCze0/fCS8vJgN6x7dzhVRBtz5jLX7U+G/E3hvxjott4k8Iataa5pF5uMF5Yzx3NtKEYo2yWJmRtrKVOCcEEHkV+Yf/AAVy+PEfwx/Zx/4VrpV0Itd+JE/2Lapw66bblZLt/ox8uEg9Vkb0r1f/AIJb/wDJivw0+us/+ni9oA/QGvk/xyf2P9e/aO0Lw18RoNA1T4vHTANMg1KEXFylnHI8qLF5qtCkm53dFyJWG5lBUEj6wr8Tf+CxvwKnv/Bfhr9pzwlvtdc8F3ENhf3EBKSiznl3WswdcFWt7k4Ugg5mzn5RQB+2KqqKEQBVUYAHAAFLX5H/APBNz/goEv7QGmQ/Bj4uXax/EXS4CbS8chRrVtEPmbHA+1RqMyKPvqDIBw4H64UANYID5jDlQecc47/yr5/+Bv7UnwO/aNOsx/CTxJHq1xoM7Q3Vu8b29wqhtqzCGZVcwufuvjGeDhsivoKv5c/+Cgvw28a/sXftbWfxz+DF9N4es/GTy6tYTW3ypBfBh9vtWX7jxOziQxsChSXZjC0Af1GUV8CfsNft1eD/ANrfwsdL1JYdE+ImjwhtS0sMfLnQYU3dpuJLQkkblJLRMQrEgq7ffdAHnXxZ+Kvgr4J/D7WPif8AEO7ex0DRI0e4ljhed/3jrFGqpGCxLu6qOwJySBk1D8J/jD8Nvjh4PtvHfwt16317R7njzIWw8UmMmKaJsPFIM8o6g9DjBBrrfFPhjQPGvhvU/CHiqyj1LR9ZtpbS7tpRlJYJlKOh+oPUcjqOa/ky+Kmi/HP/AIJk/tO39p8NdcuLSwuMXemzSDfaarpTudkV3FwkjRkNHIMBlcb0K5VqAP666K+BP2Mf2/Phn+1lpaaDME8NfEG0i33WjSyZWcIPmmsnbBlj7sn+sj/iBXDt990AFFFFAHzx+11/yap8Yv8AsT9e/wDSCav5CP2Uf+TpPg7/ANjl4e/9OMFf17/tdf8AJqnxi/7E/Xv/AEgmr+Qj9lH/AJOk+Dv/AGOXh7/04wUAf1P/ABy/4KCfs/8A7O3j24+HPxQGtWGqwxRToyaZI9vPFKuRJDLkCRQcqSvAZWXqDXj3/D3r9jf/AKCGtf8Agsf/AOKr62/aP/Za+EX7U/hS28K/FSwlf+z5hNZ39m6w31qxI3iKVkcBJANroysp4ONyqy+FeEf+CYP7FXhO3EbeAv7anwAZ9Svru4dsf7AlWIfggoA8+/4e9fsb/wDQQ1r/AMFj/wDxVH/D3r9jf/oIa1/4LH/+Kr6Tt/2Gf2QLWMRR/CPw8yj+/ZpIfzfcf1qx/wAMRfsif9Ei8N/+C+L/AAoA/n2/4Kc/ta/CD9qnVfh7dfCWe9nj8Nw6ml2by2Nthrprcx7ck7uImz6cVsf8ExP2wfgz+yra/EaH4tXF7A3iZ9Jaz+x2rXORZi6Eu7BG3/XLj159K/fH/hiL9kT/AKJF4b/8F8X+FH/DEX7In/RIvDf/AIL4v8KAPmT/AIe9fsb/APQQ1r/wWP8A/FVxnxC/4LGfs16R4N1S++HVvqmv+JUiIsLO5s2tbeSduFM0pb5Y1+820FiBgcnI+zv+GIv2RP8AokXhv/wXxf4Uf8MRfsif9Ei8N/8Agvi/woA/jw+K3xa8ffGrx9qXxL+IuqyapruqSb3lJ2rEq/cihQcRxxjhFXgD3yT+93/BN/8A4KQL42XTP2f/ANoDUwviJQltomt3D4GoAfKlrdOf+XntHIf9d91v3uDJ+kP/AAxF+yJ/0SLw3/4L4v8AClX9iT9kZGDp8I/DispyCLCIEEfhQB/Od/wVm/5PW8T/APYP0n/0kjr9pP8Agkj/AMmX6D/2FNV/9KDX4tf8FZFVP21PEyqMAadpIAHYfY46/aD/AIJGyrJ+xjoqjrHq2qKfr52f60AfptRRRQAV+Bv/AAXLbGn/AAZT1l18/kth/jX75V+Av/Bc18Q/BVPVvER/Iad/jQBu/wDBDr/kVfi3/wBfukf+i7mvp3/gpp+x94b+Ofwf1b4qeG9NEXxB8FWkl5FNbxjzdQsoBumtZto3SFYwXh6srDavDtXzF/wQ6/5FX4t/9fukf+i7mv3doA/j5+AP/BN/9qD48XNpeL4ck8HeHJyGfVdcVrVfLPO6G3YefNkfdKoEPd1BzX9JX7JP7Gfwu/ZG8Kzab4RDat4j1NFGp63coFuLrachEQEiGFTysak9i7OwBr68r83f+Ckv7YMH7NPwjk8K+E7wL8QfGsMtvpwjb95Y2x+Sa+OOVK52Q+sh3DIjYUAfjv8A8FWf2o4fjd8a0+GXhK88/wAJfDppbXfG2Y7rVWO26lBHDLFtEKHnlXZTtev0k/4JRfscyfCPwM3x8+IVh5Pi/wAY24XTYJl/eWGlPh1Yg/dlusB27rGEHBZ1r89/+CZX7DNx8efFsPxt+KFiT8PvDtzutoJlyusX8TZ2YP3reJuZT0dv3fP7zb/UaAAMDgCgBaKKKAP42P8Agor/AMnqfFT/ALCMP/pJDX9JH/BN7/kyX4W/9eV3/wCl1xX82/8AwUV/5PU+Kn/YRh/9JIa/pI/4Jvf8mS/C3/ryu/8A0uuKAPt+vmj9rz4A2H7SvwC8T/C+ZUGpzw/a9JmfA8jUrYF7dtx+6rnMbn+47V9L0UAfwMxya14W11ZYnm0vV9IuQVZS0U9vc278EEYZHR14PUEV/ZR+w1+0Yf2nP2d9B8f6lIh8RWRfTNaSMAAX9qBufaOAJo2SYAcDftHSv55P+CpvwM/4U9+1Nq2v6Zb+ToXxBj/ty2KjCLcysVvY8/3vPBlI7LKtfd//AAQ4vdVfRPi/p0qn+zYbjRZYjjjz5UvFlAPc7Ujz6cetAH71UUUUAFFFFABRRXx7+2r+1j4b/ZN+Ed14pnaK78V6sJLXQdOc5NxdY5ldRz5EAIeQ8Z+VAQzrQB+eH/BXf9r9fD+if8Ms+Ab0f2nrEcc/iSaJuYLNsPDZ5HR5+JJBxiPaORIcfhz8BPgV49/aM+Jml/C/4eWnn39+26adwfIs7VSPNuZ2H3Y4wfqxIVQWZQa/hjwx8V/2mfi6uj6NFceKfGvjG9kmlkc5aSWVi8s0z/dSNeWdjhVUdgK/re/Y1/ZB8F/sj/DdfDullNS8U6qEl1vVtuGuZlHEceeVt4skRr3yWPzMaAPQ/wBnP9m/4b/szfDrTvAPgGxjEkEQ+26i8ai71C4PMk0zjk5b7qZKouFXgV79RRQB438Of2hfgn8W9f1zwr8N/GWna9q/hyd4L61t5f3sbRnazKrAGWMNx5se6PPAbNeyV+If7c//AATr1qz1m4/aZ/ZE8/QfF2nO19f6RpjtbyTOMs91pxiIKT9S8K8SclMP8snl/wCyd/wV/wBQ0+a18BftXW7TRIRCniS0hxNGRx/p1rGPmx3khUMMcxsSWoA/oMorn/Cvivwz448P2XivwdqttrWjalGJba7tJVmglQ91dCQcHg9weDzXQUAFFFFABRRRQAUUUUAeBftW/wDJrnxi/wCxN8Q/+m6ev5N/2Dv+TxPhL/2Hbf8Ak1f1kftW/wDJrnxi/wCxN8Q/+m6ev5N/2Dv+TxPhL/2Hbf8Ak1AH9otfKf7V37Xvwv8A2TPBR8QeM5/t+u3yONK0WBwLq9kXjPfy4VP35WGB0AZyFPkn7bv7ffgP9k7RJPDukeT4i+I9/Fus9KD5jtVcfLcXxU5SPusYIeTttXLr+MH7HfwB+I//AAUK/aB1H4xfHa/udX8LaNcRzaxdzEqt5KPmh0y3C4EceOXWPAji4G1nQ0AfsP8A8E9vF/7Tnxi0fxV+0B8d9SFv4f8AG8sLeHNDWLy47S1t94M8IPzJFKGCruJaXb5hOCpb9H6rWVlZ6dZwafp8CW1raxrFFFEoSOONBtVEVcBVUAAAcAVZoAK/ID/gtX/yaz4V/wCxzsf/AE3ajX6/1+QH/Bav/k1nwr/2Odj/AOm7UaAPyz/4JI/8no6B/wBgvVf/AEnNf1l1/Jp/wSR/5PR0D/sF6r/6Tmv6y6ACiiigAooooAKKKjmmit4XuJ3EcUSlmZjgKqjJJPYAUAfyP/8ABVbxZa+KP20vFttZtvj0G107TS2cgvHbJLIB/uvKVPuDX6z/APBFnT47b9l3xLf4/eXni28yfVY7GyCj8Du/Ov5zPjR49l+KXxe8afEeVif+El1i+1BAf4Y7id3jX6KhCgegr+lj/gjlCIv2RJpAOZvEmoufwit1/wDZaAP1YooooAK/gm8Y/wDI3a3/ANf1z/6Nav72a/gm8Y/8jdrf/X9c/wDo1qAP7kfAHhrw4fAnhwnSrT/kG2f/ACwj/wCeK+1db/wjXhz/AKBVp/34j/wrN8Af8iJ4b/7Btn/6JSutoAxP+Ea8Of8AQKtP+/Ef+FfwkeOlVfG/iFVGANRuwAOgHnNX96VfwXePP+R48Rf9hG7/APRzUAf3A/DXw14c/wCFc+Ff+JVaf8gqx/5YR/8APBPau1/4Rrw5/wBAq0/78R/4Vi/DX/knPhX/ALBVj/6ISu1oAxP+Ea8Of9Aq0/78R/4VJF4f0GCVJodNto5IyGVlhQMpHIIIHBFa9FABRRRQAV+R3/BUP9l340/tRa18IfDfwk0iO7h019bbUb25nSC1shP9iETTMSXIbY+BGjscHCmv1xooA+Bv2EP2ILb9jXw54iF54lfxJr/i/wCwm/aOIQ2cH2ETeWkCnMjczvudyN2Fwic547/gqt8aoPhT+ypq/hm0n8vWviFKui2yg4YWzfvL1yO6eSpiPoZVr9Kq/kc/4KbftMWv7Q37Qk+m+GLsXXhHwIkmladIjbo7ifdm8uVPQiSRQisOGSNGHWgA/wCCXHwTn+Lv7V+gazcxFtG8AqdfunI4863YLZoD03G4ZHx3VGx0zX7seAf+Cl/7OXij4j658KvGs958Ote0jUbiwjHiCL7Lb3HkyFFYykkQMwGSk/l4yACxrk/+CV37N118DP2el8XeJbY23if4jPFqdwjrtkgsUUiyhYHnOxmlIOCDLtIytb37dX/BP7wd+1Xosvi3wuINA+JdhDi2vyu2G/RB8tve7QSR2SUAsnT5lG2gD9FIJ4LqCO5tZFmhmUOjoQysrDIZSOCCOQRXzt8K/wBk/wCBfwe8ZeIPiN4S8OxyeLPEt/eahd6teH7Rdq97K0skcDsMQxZcjbGFyMbyx5r+YD4SftY/tXfsM+Nb34dTXE8dtolwYL/wxrQaa0Rgcnyhu3Q7gdyyQOFcEMd64z/Qd+yn/wAFFvgb+099l8Oef/wh/jiUAHRtQkX/AEh8c/Y7j5Un/wB3CS9T5eBmgD7/AKKKKAP48P21fCni74l/t1/E7w34F0W88Qavc6wYorSxge4mfyoY0JCRgnAxyeg6mv6Wv2Fvh547+FP7KPgD4f8AxL07+yfEekW92tzamSOUxLLezywgtEzJnynQkAnByDyDX0fovgvwf4b1TVdb8PaHY6ZqOuzfaNQuba3jimu5sAb55EUNI2B1Yk101ABX8Xn7en/J43xZ/wCw5P8A+grX9odfxeft6f8AJ43xZ/7Dk/8A6CtAH9QH/BP7/kzT4Uf9gdf/AEbJX2HXx5/wT+/5M0+FH/YHX/0bJX2HQBk6/otl4k0PUPD2otMlpqdvLbTG3mkt5hHMpRjHLEyyRtg8MjBgeQQa/ne+Lf8AwT8/b80X4p3ug/CHx3rfiPwXOfOstVu/Ej2rwxuTiC5jacSGWPoWjjZHGGG0kov9G9FAH8+Ojf8ABMj9vW6ijk1348pYMwBZIda1i4K+xzHGCfoce9dT/wAOu/2w/wDo5C6/8C9U/wDj1fvLRQB+DX/Drv8AbD/6OQuv/AvVP/j1H/Drv9sP/o5C6/8AAvVP/j1fvLRQB+DX/Drv9sP/AKOQuv8AwL1T/wCPUf8ADrv9sP8A6OQuv/AvVP8A49X7y0UAfg1/w67/AGw/+jkLr/wL1T/49Va8/wCCV37W+o2k+n6h+0TNdWtyjRSxS3OpvHJG42srq0pDKwOCCMEV+91FAH84f/DkL4o/9FM0b/wDuP8AGvWPgp/wSt/aT/Z++IWnfEv4afF3SLDVtPOGU2dy0FzAxHmW9xHuG+JwOR1BwykMFYfvJRQBFB5whjFyVM20bygIUtjnAOTjPTJr+JH9rnxMnjD9qL4reIYm3w3HiXVEib+9DDcPFGfxRBX9qXi7xJYeDfCeteL9UO2y0Oyub6c5xiK2iaV+f91TX8GWp6jdavqV3q182+5vZpJ5W9XkYsx/EmgD+w//AIJveHz4b/Yn+F9i6bHuLK6vT6n7bez3Cn/vmQY9q+368i/Z/wDCr+BvgT8O/Bk0flTaJ4e0qzlU8ESwWsaPn3LAk+9eu0AFFFFABRRRQB+Bv/Bcv/jw+DP/AF18Qf8AoNhXO/8ABDf/AJDvxh/69tE/9DvK6L/guX/x4fBn/rr4g/8AQbCud/4Ib/8AId+MP/Xton/od5QB/QpRRRQB/On+1p/wS4/as+InxP8AFPxf0HxHpPjy58QXclz5DSNpt2kf3YYESfdAEijCxrm4HCivM/hF+1N+19/wTv8ACNv8LfH3wdij8K21zNOZby0uLWSaa4fc5XUoWktpT0UHY5ChRnAAr+nioLm2tr23ktLyJJ4JlKPHIoZGU8EMp4IPcGgD8iPhh/wWZ/Zz8VGK0+JGiav4GuXxvl2DU7JPX95b4nP4W/8AhX6MfDH9oj4GfGaNW+F/jnSfEUzLuNvb3Sfa1HXL2zlZk/4Egr54+Mn/AATe/ZJ+Mwnu77wfH4W1abJ+3+HyNOkDHqxhVWtnJPJLwkn161+KP7XH/BMDxR+zJ4Vv/i54V8e6fqnhfS3Rtt+x07U0kdsRxwgFo55M9NrIx6hODgA+/f8AgsR+0kngj4X6d+z34duca14423Wp7D80Ok28mVU45H2idMD1SORTwwr8kf8AgnP+zu/7Qv7S+hWep23n+GPCTLrWrllzG8ds4MFu2eD5821SvUx7yPumvi3xH4q8UeMNQXVvF2sXmt3yRJAs99cSXMoiiGEjDyszbVHCrnAHSv2W/wCCZH7aH7L/AOzt4Mvvh98RLa+8OeIvEF99ovdeeL7TZTKmUt4m8kGaFYlJwDG67mdi6g4AB/SRRXNeEvGXhLx9oVv4n8D6zZ6/pF2MxXdjOlxA/qA8ZYZHcZyO9dLQAUUUUAFfnV/wUk/Zu+KX7UXwu8HfDz4WwWr3Nv4jivbye8uFggtrdbS5i81+GdgGkA2xo788LjJH6K0UAfmN+yd+xn8Iv2ALW6+I/wAQviHbnxB4gt10me+1GeDTNLTzHWcQW6zMC0hMWdzSEsFJCLyK/Tmv5qP+CzPx4j8W/FXw/wDAnRLoSWHgqA3uoqh4OpXygojDpmG32kHt5zA9K/pVT7i/QUAOr5O+CI/Y98R/Ebx1rPwPt/D9/wCN7DU7hvEF3awhtQW8uHLTMZpV3tG7lvmiYxb9yg7gQPrGv5j/APgoH4Z8c/sV/tl2P7QHwZvH0SLxuJNVhMY/cNeK6rqNrKnAkilYpK6nj97xgqCAD+nCivk79j79rLwX+1t8MI/GGhKuna9pxS31rSi+6SzuSMgr3aGXBMT45AKn5lYD6xoA87+KvxQ8E/BP4f618UPiDdtYaBoiJLdTRxPM+ZHWKMBIwWZndlQdhkZIGSJPhf8AFPwD8ZvBWn/EL4a6xDrehakuY54TyrD70ciHDRyIeGRgGU9RWv438GeHviJ4O1rwH4stRe6Nr9pNZXcJ/ihnQo2D2YA5VhyCARyK/k08IfFb42f8E0P2mvE/gjTbhtR03S77yNR0ydmS01axOHt5wOfKleFleORQShO07l3KQD+vSivFfgF8ffh1+0j8ObH4lfDa++02Nz+7uLeTC3NlcqAXt7hATtdcj1DAhlJUgn2qgD5/+OH7UHwW/ZzuvDVr8XtdOiHxXcSW9k5t5pY/3IXzJJXjVljRC6Alj/EDjAYj3DStW0rXtMtda0O8h1DT76NZre5t5FlhmjcZV0dCVZSOQQSDXzv+1r+zZ4b/AGpvgzq3w01nZbakB9q0i+Zcmz1CJT5UnGTsbJSQDqjNj5sEfzQ/s7fthftAfsIfEHUvhxrcMmo6DpN/La6v4avpD5cU0blZXtJPm8iQkEhlBjkGCyt8pAB/XtRXhX7Pv7Rvws/aY8DReO/hdqgu4RtS7s5cJeWM5GfKuIsna3XDAlHAyjEc17rQAUUUUAFFFFABRRRQAUUUUAfzv/8ABcU/8Vb8JR/046v/AOjbas7/AIIfn/i4XxSH/UL0/wD9HyVc/wCC4bf8Vn8J19NP1U/nLb1nf8EQG/4uT8T19dJsT+Vw9AH9G1FFFABRRRQAUUUUAFFFFABX58f8FTf+TGPiL/v6N/6drSv0Hr8+P+Cpv/JjHxF/39G/9O1pQB+A/wDwS7/5Pq+GX11n/wBM97X78fEr/gpn+zN8JPHOsfDrx2dd03W9Dna3uIn0qUAlfuuhYjdG64ZHAwykEcGvwH/4Jd/8n1fDL66z/wCme9r+kv8AaV/Yq+BX7Vc+j6j8TtPuYdU0U7Yr/TpVtrqS3OSbaVyjh4tx3AEblOdjLubcAfOf/D3r9jf/AKCGtf8Agsf/AOKo/wCHvX7G/wD0ENa/8Fj/APxVep+Gf+CaX7FPhe1WCH4bwajIMbpr+7u7p3I7kSTFB9FUD2r0SL9h39kKFBGnwj8OkD+9YxsfzYE/rQB80f8AD3r9jf8A6CGtf+Cx/wD4qvw6/wCCjH7Q3w5/aY+Pdj8QvhfLczaPb6FaaezXcBt5PPhnuJGwhJOMSrz9a/pg/wCGIv2RP+iReG//AAXxf4Uf8MRfsif9Ei8N/wDgvi/woA/GX/gnB+3h8AP2ZPgTqvw/+KV1qMGr3fiC61GNbSza4j+zzW1rEpLAjB3RNx9PWvv/AP4e9fsb/wDQQ1r/AMFj/wDxVfTf/DEX7In/AESLw3/4L4v8KP8AhiL9kT/okXhv/wAF8X+FAHwD8dv+Cxfwe0/4dagnwCt77VvGV2PJtG1CzMFpabwc3Em5iZCn8MYGGbG47QQf51tS+IHjfWPG8vxK1LXbybxVPeDUG1MzMLv7WG3iUSAhlZWAKkY24GMACv7J/wDhiL9kT/okXhv/AMF8X+FH/DEX7In/AESLw3/4L4v8KAPk7/gnp/wUL0r9o7Srb4V/FS5i0/4m6fFiOQ7Y4taijXJliAwFuFAzLEOCMyRjbuWP8Af24P8Ak7z4u/8AYx3/AP6MNf1iaF+x9+y54Z1qw8R+HvhdoGn6ppc8dza3MNjGksM0LB0kRgMhlYAg1/J3+3B/yd58Xf8AsY7/AP8ARhoA/qi/YT/5M9+En/YAtf5GvrKvkn9g6VZf2O/hKy9BoVuv4qWB/lX1tQAUUUUAFFFFABRRXx7+2r+1j4b/AGTfhHdeKZ2iu/FerCS10HTnOTcXWOZXUc+RACHkPGflQEM60Afnh/wV3/a/Xw/on/DLPgG9H9p6xHHP4kmibmCzbDw2eR0efiSQcYj2jkSHH4c/AT4FePf2jPiZpfwv+Hlp59/ftumncHyLO1Ujzbmdh92OMH6sSFUFmUGv4Y8MfFf9pn4uro+jRXHinxr4xvZJpZHOWkllYvLNM/3UjXlnY4VVHYCv63v2Nf2QfBf7I/w3Xw7pZTUvFOqhJdb1bbhrmZRxHHnlbeLJEa98lj8zGgD0P9nP9m/4b/szfDrTvAPgGxjEkEQ+26i8ai71C4PMk0zjk5b7qZKouFXgV79RRQB438Of2hfgn8W9f1zwr8N/GWna9q/hyd4L61t5f3sbRnazKrAGWMNx5se6PPAbNeyV+If7c/8AwTr1qz1m4/aZ/ZE8/QfF2nO19f6RpjtbyTOMs91pxiIKT9S8K8SclMP8snl/7J3/AAV/1DT5rXwF+1dbtNEhEKeJLSHE0ZHH+nWsY+bHeSFQwxzGxJagD+gyiuf8K+K/DPjjw/ZeK/B2q22taNqUYltru0lWaCVD3V0JBweD3B4PNdBQAUUUUAFFFFABRRRQB+Qf/Ban/k1fwx/2OVj/AOm/UK+Nf+CIv/JX/iN/2Arf/wBKlr7K/wCC1P8Ayav4Y/7HKx/9N+oV8af8ERf+SvfEb/sBW/8A6VLQB/SPX5c/tx/8FENH+BEz/B74Lxp4p+LGpMtssUS/aIdLkmIVPNRc+bcsSPLtx3IaTjaj/PH7fv8AwVDtvCf9pfBf9mnUUudcG+31TxFAweKzP3XhsWHDzdmmGVj6Jl/mjxP+CU37Fty7w/tbfGC2e4v74vL4bt7vLufMz5mpy78ku+SIC3YmXnMbAA/WT9ljw18ZPCnwL8NaV8fddbxB44aOS4v532l4jcSNKlu7rxI0KsELDjIwMqAT9CUUUAFfzA/8Fqv+Tp/C3/YmWP8A6cdRr+n6v5gf+C1X/J0/hb/sTLH/ANOOo0AfWX/BD/8A5J98Uv8AsKad/wCiJa/cyvwz/wCCH/8AyT74pf8AYU07/wBES1+5lABRRRQAUUUUAFFFFAH8zf8AwWs8WWup/H3wb4Qt23voXh8TTYPCyXtzJhfrsiVvowr2j/ghrp8e34yaqwy+dBgU+g/05mH4/L+VfmP/AMFAfiF/wsv9sH4m67FJ5ltY6mdJgwcqE0pFszt9meJn992a/Vz/AIIeQhfBvxYuMcvf6Un/AHxFcH/2agD92KKKKACv4pv22v8Ak7n4u/8AYy6j/wCjmr+1mv4pv22v+Tufi7/2Muo/+jmoA/qV/Ye8P6DP+yL8Jpp9NtpJJPD9mzM0KFmJXkkkZJr6p/4Rrw5/0CrT/vxH/hXzb+wz/wAmgfCT/sXrP/0Gvq2gDE/4Rrw5/wBAq0/78R/4V/GJ+27DDb/tc/FqC3jWKNPEN6FVQFUDf0AHAr+1av4rv24/+Tvvi5/2MV9/6HQB/UJ+wp4e0Cb9kD4UTTaZbSSSaHbszNChLEliSSRyTX1l/wAI14c/6BVp/wB+I/8ACvmX9g//AJM8+Ev/AGAbb+tfWtAGJ/wjXhz/AKBVp/34j/wo/wCEa8Of9Aq0/wC/Ef8AhW3RQAUUUUAFfgF+1H/wTt+PP7Uv7bHjnxhYrbeF/Atz/ZSR61fOJPOWHTbaKUW1tGxkkZZFYfP5aZBG/Nfv7RQB4l+zn8ENG/Zx+DPhv4M6BqNxq1l4eS4AuroIsssl1cSXUrFUAVV8yVgq8kLgEsck/iH/AMFrPjVBq3i3wZ8BNJn3roMT61qaqcqLm6HlWqEdnjiEj/7sq1++XxJ+Ifhb4TeAtd+JHjW7Flonh61ku7mQ9dqDhEH8TuxCIvVmIA5NfxZ+NfEfxB/az/aGv9et7Nr3xR8Q9YCWtohLBDOwit4A3aOGMKm49EXJ6GgD9Wv+CVvhcfBb4M/Fr9svX9GvNXi0+zfTdOtLKIyXNxDa7bi7KDB+RpPJUv0QRyFuFOP1e/Zz/by/Zz/aWW303whr40jxNMBnRNV22t6W7iHLGOfv/qnY45ZV6V7X8AvhBo3wG+DfhP4RaIyyweHLFIJJgu0T3LEyXE2O3mzM747ZxX46f8FCf+CZqzf2l8fP2aNO8i9hLXereHrRdu8j5nudPRfuuPvPAv3useG+RgD9uPiL4E0T4n+AvEPw58SmVdJ8TWFxp10YGCSiG5jMblGIYBsE4JB57Vy/wd+BPwn+AXhhPCPwm8N22gWPymVol3XFy6jAe4nfMkre7scdBgcV/NP+zF/wVU+O3wRe08M/Ep3+IvhKIiMx30pGp2yDj9zdtlnCj+CYP0CqyDmv6LP2e/2pfgt+054dOvfCrXUu7iBFa8024Ah1CzLcYngJJxngOhaNj91jzQB9D1w3xPufsXw18W3nTyNIv5P++bdzXc1WvbKz1Kzn07UIEubW6jaKWKRQ6SRuCrKynIKsCQQeCKAP4ffgZ8CPjV8bfFVtZ/B7wpeeILmynjeSaJNlpbsrBh59zIVhi9RucE9ga/uLrC8NeF/Dfg3Rbbw34R0q10TSbJdkFpZQpbwRL6JHGFUfgK3aAPOfjD/ySTxv/wBgPUv/AEmkr+IX4Wf8lO8If9hjT/8A0oSv7evjD/ySTxv/ANgPUv8A0mkr+IX4Wf8AJTvCH/YY0/8A9KEoA/vAooooAKKKKACvxI/4Ldf8ki+HH/YcuP8A0lNftvX4kf8ABbr/AJJF8OP+w5cf+kpoA+Z/+CJH/JaviD/2L0f/AKVx1/SfX82H/BEj/ktXxB/7F6P/ANK46/pPoA8Z/aI+Klv8Evgb43+Kk7Kr+HdLuJ7cP917tl8u1jOf787Iv41/Iz+xj8ILz9of9qPwZ4N1ANd2c1//AGnq8j/Nmzsz9ouN5Of9bt8sE/xOK/Yf/gtH8d00TwL4X/Z70ecC88STDWNUVTytjaMVtkYeks4Zx7w+9Xf+CNP7O03hXwHrv7RXiG3Md94vzpukhhhl022kzPKPaadAo9oQejUAftxRRRQB+S3/AAV0/Z0uPir8C7X4s+HLfztc+GrS3M6ouXl0m42i66dfJKpNzwqCTHJr8F/h5+2H8YPhr+z94y/Z00C+/wCKd8XMuJGZvOsY5Di8jtz2S6XCyA8AbioDOxP9FP8AwUA/bv8ABP7NHhO8+HuiRWviT4ha9avHHpsoEttZ286lTPfL3VlJ2QnmTqcJyf5K6APuD9gj9lLUP2qPjbZ6TqMDjwX4baK/16cZCmAN+7tVYf8ALS5ZSg5yEDuPu4P9itra21jbQ2VlEkFvboscccahUREGFVVHAAAwAOgr+Zb/AIJeftzeB/gJNc/BH4o2ltpPh/xJf/aoNeVQjW93IqxhL5u8BCgLJ/yyOd3yMWT+myGaG4hS4t3WWKVQyOpDKysMggjggjoaAJKKKKACiiigD4l/4KI/EDxz8LP2SfGPj34c6xPoWvaTPpTQ3dvjzEEmo28Tj5gQQyuVYEYIJB4NflV8Av8AgtF4x0b7Nof7RXhhPENqMK2raMqW16B3aS1YiCVj/wBM2hA/umv06/4KdW/2n9hn4nR4ztj0p/8AvjVbRv6V+E//AASb8H+FvGP7XVhD4r0q31aLS9Jvb+2juoxKkV1C0QimCtkb03EqSPlOCOQCAD+qHwf4u03x74N0zxno0N1b2Os2qXUMd7bSWlyqSLkCSGUK6H6jkcjIINfw5/CHxnc/Dj4seC/iFZ6cdXuPDGtadqkdkrmM3T2VzHOsIcK5UyFNuQrEZzg9K/u0m/1T/wC6f5V/ET+yZ/ydR8HP+xy8P/8ApxgoA/YDXP8AgsZ8XbvRr218P/AiXTtTlhdba5nvbi5ihlIwjvCLKIyBTyV3rnpkV8A/s5ftZftIfBL4+Xvxn8QWms+KIvFU6/8ACS2s8MpOoQk8MoKhUlgB/cEAKg/dgCMla/r4r8mfir8ev+Cg/wAXPFGtfDz9mj4STeA9K028uLGTxL4h8qOSXyJDGZ7VbjEPlsR8pjS5yMMpHYA+5fEn7UnwI8G/CvS/jJ4v8WW2i+GtbtlubNroNHdTgjJjjtcGd5VPDxqhZSDkDBr8NP2p/wDgsD408bwXvg39m+wm8I6RLujfW7radUmQ8HyI1LR2wP8Aey8nQqY2r6K8If8ABIrxN8QvEH/Cd/td/Fi/8V6zcYM0GmyPIxwchDfXgZtnONiQIAPukcY83/4Kk/s2fA79nr9mjwXp3wj8I2egyTeJYo5rtVMt9Ogsrk4lupS0zruAO0ttB6AUAfMP7Dn/AAT5vf2vhcfFr4keNIoPDS3kgu4LS6S71u6n3Ev5+4v9l3nLB5Q0jj5gm1g9f0ufCb4O/DX4G+D7bwJ8LNBt9A0e2+YxwgmSWQjBlmlYmSWQ45d2JxgZwAK/lj/YQ/Yduv2wrTxneWvj+XwQfCr2EZEdgb37T9sE5ySLq32bPJ/2s7u2Of0C/wCHJ2rf9F6uv/BE3/yyoA/d68s7TULWaxv4Euba4QxyRSqHR0YYKsrAggjggivy+/ad/wCCbH7GviTw7rfxH1BD8Kf7NglvLzUdKdYbFEQZLSWbhoceiwiNmOACTgV8xf8ADk7Vv+i9XX/gib/5ZV558XP+CP8AqHw7+FXjL4hXHxqn1ePwto2oasbN9FaNbj7BbvcCIudQfZvKY3bW25zg4xQB+XHgL9njUPjXrupeH/gZr1n4h1S2nmFnpWovHpGqX9tGSUmt455DbOSg3NEtyZVOfkKjceJ+IvwM+MvwkuTa/EzwVq/hs7tiyXtnLFDITx+7mK+W/PdWIrp/2XPg9qnx7+Pvg74UaNrR8O3etXUjLqKhme2Wzhku3kjCFSZAkJ8v5h8+MkDkf2ueGfDi+HvCml+Fbu/utdGm2kNq93qLie6uvKQKZbh8API+NznAySTigD8Z/wBkb/gkf4D0Lw/onxB/aMlutW8TTiG9XRbeZra0sDw6RzyRESzSrxv2uiKcrhwNx/buiigAr+VL/gsM+79sBl/ueH9NH/j0x/rX9Vtfyj/8FfX3ftjXi/3ND0wf+Ouf60Afsb/wSW/5Mr8N/wDYS1X/ANKnr9K6/NT/AIJLf8mV+G/+wlqv/pU9fpXQAV+Yv/BXX/kzTVf+wxpf/o01+nVfmL/wV1/5M01X/sMaX/6NNAH5Pf8ABGttv7W18P73hjUR/wCTFqf6V/U3X8rf/BHJ9v7Xcy/3/Deoj/yLbn+lf1SUAFFFFABRRRQAV/GH+35ejUP2yfixODnbrMkX/fmNI/8A2Wv7PK/iJ/a31Vda/al+Luoo29JPFetKh9UjvJUU/wDfKigD+mH/AIJT2X2T9iDwPPjH2y51eX641G4j/wDZK/RWviL/AIJwaYdJ/Ym+FlqRt8yyurj/AMCb24mz+O+vt2gAooooA+INA/4J7/s16f8AFvxN8a/FGhv4x8SeJdUudUI1lluLO0kuZDIUhtQqxEKT8plEjDHBFdH+3F8YrP4A/ss+NfFVpMtlqE9i2kaQqYUi9vlMEXlgYGYVLS4/uxmvryv5j/8AgsF+0hbfEb4taZ8DfC955+jfD/e+oFDlJNYnGHQ44P2aLCZ6q7yqelAHyZ/wTz+DE/xt/av8FaNNbG40jw/cDXdSJGUW204iRFcd1ln8qIj/AG6/rO+Fvxw+EnxrsbzUPhX4qsfEcenytBcrbSfvoJEYriSFwsiAkHazKAw5Ukc18I/8Etf2U5fgJ8Fz8QvF1qYfGXxDjhu5o5Bh7PTlBa1tyDyrsGMso4OWVGGY6+a/27P2HvF/wn1+6/a5/Y8nuvDeq6cXu9a03SnaF41+9Ld2iJwYzgm4t8FSMsF27loA/Zz4ifDHwB8WdCi8L/EnQ7fxDpEVzDdi0u1LwNNASY2dMgOASflYFT3BrrdM0vTNF0+30nRrSGwsbRBHDb28axRRIvRURAFUDsAMV+IP7IH/AAV30bxRLZeAP2o0h0XU5CsUHiO3Ty7GZjwPtsQ4gYnrKn7rnLLEozX6BftkfH/4h/CD4S6bqfwM8LXPjXxV40uo9M0eWyi+12tvLcxs6XMgTO8FQTEPuMeWO0EMAeB/8FF/29bD9mvwxL8NPhtdx3PxO1yD5SuHXR7aQf8AHzKOR5zD/URn/row2hVf4z/4J+/8E29X8Wara/tEftSWMssFxJ9u0zRNQy899NIfM+2air5bYWO5Yn+aQ/NINnyyfTf7H3/BNtvCXiYftA/tV3g8ZfEy/nN+tnO4uraxuZDv82dzkXFyp6Efuoz9zeQrj9d6AEVVVQqjAHAA6AUtFFABX8EPin/kZ9X/AOvy4/8ARjV/e9X8EPin/kZ9X/6/Lj/0Y1AH923gj/kS9A/7B9r/AOilrqK5fwR/yJegf9g+1/8ARS11FABRRRQAUUUUAFFFFABX5v8A/BUz432vwj/ZV1vw7a3Xla78QT/YlmgPzm3kw18+OuwW+6Mns0i+tfo1cXEFpBJdXUiwwwqXd3IVUVRksxPAAHJJ6V/H7/wUS/ait/2nvj7daj4ZuWm8GeFYzpmjZyFmVWzPdhe3nyfdPBMax5AIIoAg/wCCbvwfb4xftceDLO5tzPpXheVtfvjjcqpp+HgDDph7kwoQeoJ+lf2H1+Wf/BKP9mk/Bf4Cj4keI7TyfFPxH8q+YOuJINMQH7HFzyPMDNM2OodQRlK/UygAooooA/P7/gqH4g/sD9iP4ghG2zakdNsk9/Nv4C4/79q9fztf8E6fD58S/tqfCzT9u8QahNen2+w2s1zn8DHX7M/8Fp/GX9kfs7+FPBkMm2bxD4hjlcf3rext5Wcf9/JIj+FfnJ/wR38LnXf2uzrJTK+HPD+o3u7sGlaK0H4kTn8M0Af1UUUUUAFFFFABRRRQAV4p+0r/AMm5/FT/ALFTXP8A0gmr2uvFP2lf+Tc/ip/2Kmuf+kE1AH8Z/wCzx/yX/wCGf/Yz6N/6WxV/c3X8Mn7PH/Jf/hn/ANjPo3/pbFX9zdABWB4r/wCRX1j/AK87j/0W1b9c74vbb4T1pvSyuT/5CagD+DrQ/wDkN6f/ANfEX/oYr++ev4GND/5Den/9fEX/AKGK/vnoARlVlKsMg8EHoRX8l3/BSb9lm2/ZZ+ONn4o+H8y2Hhfxm82paVDBJ5c2nXVu6NPCgUhljjd0eFhjAbYOUJP9Nfx8+PHw/wD2cfhpqXxP+It55FhZDZBAhBuL26YEx20CkjdI5B9lUFmIVSR/Jl4l1j4/f8FFP2kZLnTbF9T17Wm2WtqjN9i0jTYm+UM5GI4IQ2XcjLuxOC7gEAw/2QPgVJ+1R+0ZoXw+1/VBDZ30suo6tcTTgXM9tAfNuFiLndJPLnaMbmGTIQVRjX9n2j6Rpfh7SLHQNEtY7LTtNgitraCIbY4YYVCRxoB0VVAAHoK/iy/aA/Z8+MX7GnxYttB8SSyWV/bMl7o+tae8kcVysbArNbS/KyyRtgOvDI2OxVm/b79hv/gqd4X+I1jYfDH9pLUINB8XpsgtdakxDY6l2Xz24S3nPcnETnoUJCEA/aGikVldQ6EMrDII5BBpaACiiigAooooA+Gv+ClCb/2IviiP+nWxP5ahbGv5t/8Agnj/AMno/Cr/ALCb/wDpNLX9KP8AwUeUN+xN8Uwf+fG1P5Xtua/mu/4J4/8AJ6Pwq/7Cb/8ApNLQB/ZbRRRQAUUUUAFFFFAHz1+1v/yat8Y/+xO1/wD9IJq/kD/ZU/5Oh+D/AP2OPh//ANOMFf1+ftb/APJq3xj/AOxO1/8A9IJq/kD/AGVf+ToPg/8A9jj4f/8ATjBQB/cDRRRQAUUUUAFFFFABRRRQAUUUUAFfm9/wViOP2JvFvvfaT/6WxV+kNfmz/wAFZWx+xT4oHrqGkj/ycjNAH8+v/BPQ4/bQ+FP/AGFG/wDSeWv7MK/jK/4J9Nt/bN+FB/6i2PzhkFf2a0AFFFFABRRRQAUUUUAFFFFAGXrei6T4k0a/8O69ax32m6pBLa3VvKu6OaCZSkkbjurKSCPSv4OfGGl2eh+Ldb0TTpDNaaffXNvC55LRxSsisfcgA1/eB4k1u18M+HdU8R3zBLbSrWe7lJ6BIIzIxP4LX8EdxPLdXEt1cNvlmZndj3Zjkn86AP7ofgRBHa/A/wCHltCMRw+HdJRR6BbOICvVa8Z/Zx1BdW/Z6+F+qK24XnhbRJs+vmWMLf1r2agArzTxx8GPhF8TtS0/WPiP4L0fxRe6SrpaS6nYQXjQq5BYJ5yNgEgHHrz1r0uigDldN8C+CNGtE0/R/D2nWNrH92KC0hijX6KqgCr/APwjXhz/AKBVp/34j/wrbooA/mf/AOC1en2Gn/G7wFHYW0dsjeHWJESKgJ+1y8kKBX3D/wAEbNH0i/8A2VNZmvrGC5kHiu/UNJGrtgWdlxkgnFfFX/Bbb/kuPgD/ALFxv/Syavub/gjD/wAmoa1/2Nl//wCkdlQB+qf/AAjXhz/oFWn/AH4j/wAKP+Ea8Of9Aq0/78R/4Vt0UAfz/wDwe/4Iu32oa1P4h/aD8XpbWb3Eki6VoHzyOhclfMu50CpkdVSJuDw4NfvxaW0dlaw2cOfLgRY13HJwowMnuasUUAFFFFABX4u/8FPP2+R8LtLvf2ePg7qOPGOpw7Na1CBvm0u2lX/URsOlzKp5PWJDkfOylPbv+CgH7b178BLK0+DHwdt5NY+Lni6NEs4oITOdPhuGMaTeWAfMuJGBEEQB5G9xtCrJ4h+xD/wTKHhTVLf48ftTD+3/ABxdTfb7bSbiT7TFZ3Dt5huL1yWFxdbjuxkojcku+CgB5Z/wTf8A+Cbf2f8Asv8AaE/aH0v978l1oOgXSfc/ijvL2Nh97o0ULDjh3GcKP32oooAa/wBxvoa/gFr+/pzhGJ9DX8AtAH9+lp/x6w/7i/yqxVe0/wCPWH/cX+VWKACiiigD8Af+C29jqeueI/gloOjWk1/fXCa6sNvbxtLLI8jWACoiAsxO3gAZr1v/AIJK/svfHL4Ft408afFfQT4bsfFdpYx2drdSKL0tbvKxeWAZMQxJjEm18/w45r9lZtL0y41C31ae0hkvrNJI4Z2jUyxJLjzFRyNyh9q7gDzgZ6Cr1ABXF/Ej/knfin/sFX3/AKIeu0ri/iR/yTvxT/2Cr7/0Q9AH8MPgX/kdvD//AGEbT/0ctf3pV/Bb4F/5Hbw//wBhG0/9HLX96VABX4u/Gz/gktqfiTXNc8ZfBr4t6poupavd3F81jqm57Yy3MjSMiz2pjaNAzcfupCBwcnmv2iooA/if/aT/AGf/ANo34C67Hovx0sr5oHfFnqDTyXmn3Jwf9RcEld2ASUbbIByyiuU/Zk8KQ+OP2i/hj4Suo/NttU8SaVDOvXMBuozN/wCQw1f0sf8ABW+PSX/Yw11tRQNcR6rpTWZOMrP9oAYjPfyTIOOxr8F/+Cbmlpq/7bfwttJF3iO8vLjHvbWNxMD+BTNAH9jdFFFAH8dH/BSj/k934o/9fVj/AOm+2r+kT9knxv4L8AfsWfCLXfHev6f4b01tCsIRdaldRWcBleMlU8yZkXcQCQM5ODX83f8AwUo/5Pd+KP8A19WP/pvtq/oz/Zk+G3gr4u/sGfDj4efEPS4tY0HWPDNlFcW8o/2Mq6MOUkRsMjqQysAQQRQB7h/w1D+zR/0Vvwj/AOD7T/8A4/R/w1D+zR/0Vvwj/wCD7T//AI/X5AW3/BD6yk8UahNe/FSSDw757mzhi00SXptycossrTJGHUcFljIbGcLnA9o07/gil+zXCAdU8X+LLph/zzuLGFT+Bs3P60Afk5/wVE8YeEvHX7XOt+IfBOt2PiHSpdN0xEu9OuYru3ZkgAZRLCzISp4Izwetfs//AME5fj18DPBv7GXw68N+L/iL4c0PV7NNTE9nfavZ21zFv1O6dd8Usquu5GDDIGQQRwa5z/hy9+yl/wBB7xd/4H2X/wAg0f8ADl79lL/oPeLv/A+y/wDkGgDlP2/P+Cmnhr4d+H5Phh+zbr9pr3ivVof9J1vT5o7q00uCQf8ALCWMskl0w6YJEQ5PzYA84/4Jkf8ABQy68QTWP7OXx61h7jVJWEXh7WryUu9yWPFjcyuSTJn/AFDsct/qyd2zd7l/w5e/ZS/6D3i7/wAD7L/5Bp8f/BGL9laGRJofEHi9JEIZWXULIEEcggix4IoAP+Cz/wDyahon/Y22H/pHe18Nf8ESf+S4eP8A/sXV/wDSyKvsf/grtobeGP2LPCHhx9Su9YOl+JNKtvtl/Ist3ceVYXieZPIioHkbGWYKMnJxXxx/wRJ/5Lh4/wD+xdX/ANLIqAP6VKKKKAOT8d+OfCvw08Hav498b6hHpWhaHbvc3dzKflSNPQdWZjhVUZZmIUAkgV/MLqQ+Mv8AwVk/anc6Wk2i+BtD+SOSQbrfRdJL/eYA7XvLnbnaDl24yIo8r9n/ABwsvjl/wUn+PGp/BLwhDd+C/gr8NtUktNY1G6iaNrvULZikh8pseZKvIghPCKfNlKl1Ufr78FPgh8N/2ffAVl8OfhfpSaZpVp80jnDXF1OQA89xJgGSV8ck8AYVQqgKAC98IPhF4E+Bfw+0n4Z/DjT107RdJj2qODLNIeZJpnwN8sjfMzHvwAAAB6ZRRQB/ND/wWzP/ABf3wKvp4ZU/ne3FfUv/AAREP/FpfiQvprdsfzthXyp/wWybP7Q3ghPTwtGfzvrr/CvqT/giE2fhd8TE9NZsz+duf8KAP3AooooAK/jP/wCChcvnftofFZ/TVFX/AL5t4l/pX9mFfxf/ALfEvnftj/Fl/TW5l/75VV/pQB+yH7DH7fH7Jnwe/ZU8B/Df4jeOxpHiPRor5bu1/szUp/LM19cTJ+8gtZI2yjqflY4zg85FfWn/AA9D/YV/6KaP/BPq/wD8hV8tfsJfsMfsqfFv9lDwF8Q/iH4Bg1jxDq8V811dveXsTSmK/uIUykU6IMIirwo6etfXH/DtL9h//ol9t/4MNR/+SaAMz/h6H+wr/wBFNH/gn1f/AOQq/LH/AIKnftb/ALPf7Rvw+8EaH8GfFg8RXukapcXF1GLG9tPLieDYrbrqCJWy3GFJPtX6w/8ADtL9h/8A6Jfbf+DDUf8A5Jr8qf8Agqt+yr8Af2fPh54G1r4PeEovDl7q2qXFvdSR3N1OZIkg3qpFxLIBhucgA0Acj/wRQkx+0j4yi/veE5z+V/Z/41/TbX8wP/BFaYJ+1L4oiJ/1ng69x9RqGnn+Wa/p+oAKKKKAPwQ/4Lf+EfDq6X8L/HiQpHrrzX+mvKAA81oqxzIrHqRE5Yr6eY3rXjf/AARJgjb44eP7kj95H4dRAfZ7yIn/ANBFeg/8FxfEcUutfCTwlHJ+8tbfWL6VO+24e1iiJ/GKQD8a8t/4Im6gsX7QvjbSy2Dc+FpJgPXyb61X/wBqUAf0yUUUUAQXVrbXttLZXsSXFvcI0ckcih0dHGGVlOQQQcEHgivJfCX7PXwG8BsJPBfw68PaLKDnzLTS7WKUn3kWPcfxNew0UAYn/CNeHP8AoFWn/fiP/CvK/jr4d8Px/BH4hSR6Zaq6+HdWIIhQEEWkuCDivb68p+PH/JDviJ/2Lmr/APpHLQB/HL+yBFFP+1X8IYZ0WSOTxXoysrAFWBvI8gg8EV/ar/wjXhz/AKBVp/34j/wr+K79jv8A5Ov+D3/Y2aL/AOlkdf22UAYn/CNeHP8AoFWn/fiP/Cvzg/4KCfsReMf2r5PhxpXw5uNJ8PWmg3Govqd1chkKx3K24jMccMZMrfu2+UlRyPmGc1+nVFAHxJ+xr+w94G/Y50vWT4f12+8Ra34kS2TUbu5CQwN9lLmMQW6Z8sZkbO6SRufvY4r7boooAKKKKACiiigDjfiNN9n+Hviic8eXpd635QOa/iW/Z4/5L/8ADP8A7GfRv/S2Kv7TvjXciy+Dfjy8JwINA1STP+7ayGv4sf2eP+S//DP/ALGfRv8A0tioA/ubooooA+T/ANunxhD4G/ZB+LGtzOI/P0G605CTj95qYFkmPfdMMV/Hh8KvB8vxC+J/hHwHChd/Eer2GnAL1/0udIv/AGav3w/4LR/Hqz0zwb4Y/Z20a5VtR1mddZ1VFPzRWdtuS2jcf9NpSzgdR5QPQjPwR/wSb+Edz8Rv2sdM8Vz2xl0nwDaz6rO5HyC4dDb2qZ/veZJ5ij/pmfSgD+sRESNFjjUKiAAADAAHQAU6iigDI8Qf8gHUv+vab/0A1/Cb8Obj7J8QvC90TjydUsnz/uzoa/uz18E6FqIAyTbTf+gGv47v2Yf2HP2jP2h9V07XvBmgNpXhyOaOU63qm61scIwJMJKmSc8Y/dIwB4Yr1oA/snooooAKKKKACiiqOqanYaLpl3rOqzLbWVhDJcTyvwscUSl3Y+wUEmgD+Nn/AIKDeJofFv7Z3xW1WBtywat9gJzn5tNgjs2H4NCRX9Hf/BMfwefB/wCxV8P0mTZcawt7qcvv9ru5WiP/AH5Edfyd+KNS1j4sfFPV9YsIHutV8Y6zcTxQjmSS41G5ZlQf7TO+PrX9wHwr8D2vwy+GXhP4dWRDQeGNKstNVh/F9kgSLd9WK5P1oA72iiigAooooAKKKKACiiigAooooAKKKKACiiigAoorK1zXNG8M6Pe+IfEV9Dpul6bC9xc3VxIsUMMUY3O7uxAVVAySTQBB4l8S6B4N8P6j4r8U38Wl6PpMElzd3U7bIoYYlLO7E9gB/hX8ln7ZH7Unj79u3426b4S+H2n3c/hu0ujY+GtHiUme5llO03UyD/ltNgcHiKP5c/fZvXP24P20/HP7afxBs/gH8ArW8uvBZvFgtLW2Rhc69dqflmlTgrAhG6KNsAAebJggCP8AWX9gT/gn9oH7LOjL478ceTrHxN1SDZNMuHg0uKQfNbWpPVz0ll/i+6uEyXAOC+C3/BK34Z6B+zVqHw4+JbeZ4+8TiO7vNbs2Pm6ZdRq3kQ2jcboodxEgPExLE4Aj2fH/AIZ/4IufGu6vZE8Y/FnTdMtFkYJJYQ3d9I0YPysyStahWI5Kh2APGT1r+iuigD8Gf+HJmo/9F4uv/BE3/wAsqP8AhyZqP/ReLr/wRN/8sq/eaigD+Hf9oDwDq/wM+M3iz4SDxHca0PC961p9t2tbefhVbd5XmSbOvTe31r9O/wBnj/glRqXx4+C3hT4vN8Y7nRD4ntTc/YhpLXPkYkZNvm/bo9/3c52L16V8I/t/f8nlfFj/ALDL/wDotK/pw/4J6/8AJl/wp/7BTf8ApRLQB+cn/DkzUf8AovF1/wCCJv8A5ZVSm/4Ici5kM1x8bZJZD1ZvD24nHudRr986KAPwKj/4IbpDIs0PxsdJEIZWXw9ggjkEEajwRX7QfBbwX48+Hnw60vwb8RvGR8fatpamEau9n9inngXiMTp50++VRw0m4F+Cw3bmb1WigAooooA5Xxv4H8JfEjwpqXgfx3pUGtaFq8RhurS4XdHIh5HoQykBlZSGVgGUggGvIPBf7I/7MXw9jVPCfwv8P2kijAmk0+G5uMennzrJKf8AvqvomigDmbPwV4N0+PyrDQbC2T+7FaxIPyVRVv8A4Rrw5/0CrT/vxH/hW3RQB85ftM654X+FX7PfxE+ILWFnby6Nod9JbMYYx/pbxNHbLnHVpmRR7mv42Pg74Km+JPxZ8GfD+CIyt4j1iwsCqjPyXM6RuT7BSST2AzX7y/8ABZ39oSy0vwd4f/Zv0K73alrU0er6wiH/AFdlblhbRSf9dZh5mOo8pT0YZ+QP+CPvwNu/H/7Q9x8W7+DOi/Dq1eRXYZV9RvkeCBBng7IzLIT/AAlU9QaAP6ch4Y8NqABpNoAO3kR/4Uv/AAjXhz/oFWn/AH4j/wAK26KAMT/hGvDn/QKtP+/Ef+FH/CNeHP8AoFWn/fiP/CtuigD+BHVMf2nd46edJ/6Ea/u28L+GvDh8NaSf7KtObSD/AJYR/wDPNfav4Rr9t99cP/ekc/mTX95vg1/M8IaHIP47G2P5xLQBZ/4Rrw5/0CrT/vxH/hR/wjXhz/oFWn/fiP8AwrbooAxP+Ea8Of8AQKtP+/Ef+FXbPTNN07f/AGfaRWvmY3eVGqbsdM7QM4zV6igAooooAK/On/gqz/yZB43/AOvnSP8A0429fotX50/8FWf+TIPG/wD186R/6cbegD8Jf+CV3/J8nw//AOuWsf8Apruq/rwr+Q//AIJXf8nyfD//AK5ax/6a7qv68KACvyr/AOCxQz+yEvt4i03/ANAnr9VK/Kn/AILFnH7IUY9fEem/+i56APzl/wCCKH/JyvjD/sUbn/0vsq/pwr+NL9h7Qf2pfEPxP1mz/ZL1WPSPFKaPLJeSyPbxhtPFxAHTNyjrkymI8DPHXGc/qR/wrH/gtT/0PFr/AOBOlf8AyPQB+8tFfg1/wrH/AILU/wDQ8Wv/AIE6V/8AI9H/AArH/gtT/wBDxa/+BOlf/I9AH7y1+fv/AAVJ/wCTFviT9dG/9O9nXw5/wrH/AILU/wDQ8Wv/AIE6V/8AI9fO/wC1b4F/4Ke6N8BfE2pftFeKoNS+H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x29uhI3yPjgcAAFmIVWYfx4/tQ/tMePP2p/ijefETxo/wBnt1zBpmnI5aDT7MHKxJnG5j96R8Au2TgDaqgHjvjnxt4n+JPjDWPHvjO+fUtc125ku7u4k6vLIcnA6Ko6Ko4VQFAAAFfob/wTV/Ytn/aS+JC+P/HFmT8OfB9wj3Qdfk1K9XDx2S54KDh5/wDYITgyAj54/ZC/ZK8d/ta/EmLwp4eV7Dw/p7Ry61qzJmKyt2PRc8PPJgiKPucscIrEf2G/C/4ZeC/g54D0f4bfD7T10zQtDhEMES8se7ySN1eSRiWdzyzEk0Ad4qqihEAVVGABwAB2FOoooAKKKKAPiv8A4KK/8mV/FT/sHQ/+lcNfxr1/ZR/wUV/5Mr+Kn/YOh/8ASuGv416AP6O/+CIX/JL/AImf9hiz/wDSc1+4Nfh9/wAEQv8AkmHxM/7DFn/6TtX7g0AFFFFABRRRQAUUUUAFFFFABRRXLeN/G3hb4ceEtW8deNtRi0nQ9Et3ubu5mOEjjT6csxOAqgFmYhVBJAoA8L/a3/aZ8L/sq/B3UviLrey61WXNro+ns2Gvb91JROORGmN8rDogOPmKg/xk+N/Gnib4jeL9Y8d+Mr59S1vXbmS7u7iTq8spycDoFHRVHCqAAAABX0l+2h+1d4k/az+Llz4wvBJZeGtL32uhac5/49rTdkyOASvnzEB5SM/woCVRa+evhz8OvGfxZ8aaV8Pfh9pcusa9rMoht7eIck9WZmPCIigs7sQqqCSQBQBufBn4OePPj18RdJ+GPw5sDfaxqr4yciG3hX/WTzuAdkUY5ZvoACxAP9jP7LP7MvgX9lb4WWfw88HoLm8fE+qak6BZtQvCMNK3Xai/djjyQi8ZLFmbzr9if9jPwf8Asi/D77BEYtV8a6yiPrWrBfvuORb2+4Blt4z0HBc/OwBwq/a1ABX83n/BW34s/tRaR8VtJ8NX8V14T+HmnSpd+H7vTLiRUv7uIAm5luI9hW4iJIWI4MQ+Zd27e39IdedfFX4UeAfjX4H1H4dfErSYtZ0PU1xJFIMNG4+5LE4+aOVCcq6kEH8aAPwG/ZR/4LAeLPChs/BX7TltJ4k0hdsSa/aoP7RgXoDcxDatwo7uu2TGSfNY1/QN8O/iV4C+LXhW08bfDbXbXxDol6P3dzaSB13Dqjjhkdc/MjgMp4IBr+SD9tf9iDx1+yN4vEpMut+A9WlYaVrAToeW+zXQXhLhQOOiyKCydGVPB/gZ+0R8Xf2cvFa+LvhPr82lTsV+02x/eWd4in/V3EDfJIOSAeGXJKMp5oA/uPor8z/2Pf8Agph8KP2kvsXgvxmIvBPxBl2xrZTSf6FfydP9Dnf+Jj0hkw/OFMmCa/TCgAooooAKKKKACiiigArmPG//ACJev/8AYPuv/RTV09cv44IHgvXyeg0+7/8ARTUAfwV1+7v/AAQ6/wCRr+Lf/XlpH/oy5r8Iq+1/2SP2xdX/AGSPD3xHn8IaWt94p8X21ha6dPPg2tl9nadpJ5EzmRh5i+Wn3ScljgbWAP6Qf2zv25vhz+yR4ZNtOY9d8d6lEW03RY3wQDkC4u2HMUAI4/ikIKoOGZf5P/i78YPiZ+0J8Qrrx58RtSm1vXdTcRxooPlwxk/u7e2hGQkak4VF6kknLEk8X4v8YeKPH/ibUfGXjTVJ9Z1vVpWnuru5cySyyN3JPYDAAGAoAAAAAr9t/wDgk7+xGNdvrX9qX4pWGdOsZD/wjFnMvE9xGcNqDKf4ImBWDPVwX42IWAPuz/gm5+xNB+zP8P8A/hPPHdmv/CyfFkCm6DAFtMs2w6WSns5OGnI6uAnIQM36a0UUAFfDH/BSv/kyD4o/9e1h/wCnG2r7nr4X/wCClfH7EHxR/wCvaw/9ONtQB/HXX7//APBDHp8bP+5b/wDclX4AV+//APwQx6fGz/uW/wD3JUAfv7RRRQAUUUUAFFFFABRRXhX7TvxDPwo/Z5+InxBjk8q50bRL2S2bOP8AS3iMdsM+8zIKAP46P2l/Hw+KP7QfxE8fxyebb6zrt/NbNnP+iiZktxn2iVBWD8DbX7b8a/h/ZEZ+0eIdKjx/v3cQ/rXlte1/s1RCb9oz4VwnpJ4r0Nfzv4RQB/cjRRRQAV+af/BWr/kyzxH/ANhLSv8A0qWv0sr80/8AgrV/yZZ4j/7CWlf+lS0AfyX1/Un/AMEZf+TTdW/7GvUP/SWzr+Wyv6k/+CMv/Jpurf8AY16h/wCktnQB+tNFFFAH8sv/AAWU/wCTtrD/ALFjT/8A0ouq/KKD/Xx/7w/nX6u/8FlP+TtrD/sWNP8A/Si6r8ooP9fH/vD+dAH9+9FFFABRUcssUETzzuI44wWZmOFVRySSeAAK8G+DP7TvwR/aA1TxJo3wp8Swa1d+Fbk213GmVLKOBPDu/wBbbs2VWVcqSODgqSAe+0UUUAFFFFAH4TftB/8ABNX4t/tS/tlePPiTrOpW3hDwFey6akF7Ji5vLtLbTraCT7PbIwwN8bKWldMHkK4r9If2dv2If2eP2ZoIbnwF4eW88QIuH1vUtt1qLEjB2SFQsIPdYVQHvk819cVzXjLxh4b+H3hTVvG/jC/j0zRdEtpLu7uZThY4ohuY+pPYKMljgAEkCgD8ov8AgsR8e4/AfwN074L6RcbdY+IVwGuVU/NHpdi6ySE45HmzeWg7MokHODX8wtfSP7WP7Q+t/tP/ABv134p6or29jOwtdKtHOfsmnQEiCLgkbjkySY4MjsRxgV1P7Ev7NGp/tR/HjRvA7QuPDenst/rtwuQItPhYboww6STnESY5BYtjCtgA7bxd/wAE/Pjf4c/Zm8LftK6dbnV9K1izbUdR02GNvtem2kjE290V582GSEJI7KAYwwLAqGZfMP2ff2xv2gP2Z72M/DTxLKNH375dHvc3OmTZOWzAxHllu7xMjn+9iv7UbWxsrKyh02zgSG0gjWGOFFCxpGg2qgUcBQBgDpiv59P+Civ/AATQXRo9T+Pf7OOl4sF33OteHrZP9QPvPdWKL/yzHJkhH3OWjG3KqAfQnwq/4KMfss/tf+Ex8HP2mNJi8JXWqS2rTWt/Mx0W9ltZ47iIC7UoYx5sasY59qEfIXkyQf170HS9C0XRbLSvDFpbWOk20SJawWcaRW8cIHyiJIwECY6BRj0r+Bmvu79lT/goN8c/2Xbm20azvD4q8EowEmhahIxjjTPP2OY7ntm64CgxknLRk8gA/sOor5r/AGaf2rfhD+1R4SPiT4a6iRe2ir/aGlXO2O/sXboJYwSGQn7siEo3TO4Mo+lKAP5V/wDgqro/iDxr+3HeeGPCum3Os6rJpWlwQWlnC9xPK7RGTakcYZmPzdAK7T9nf/gj18ZPiB9m1/446inw/wBFfD/Yo9t1q0qHnBRSYYMju7M6nhoq/pQsvB3hPTfEeo+MbDRrS317V1jS8v0gQXVwkKhI0kmxvZUVQFUnA7CukoAqWFothY29gjtKttGkYdyC7BABliABk45wBXxX/wAFIf8AkyX4pf8AXlaf+l1vX2/XxB/wUh/5Ml+KX/Xlaf8Apdb0AfxxV/SL/wAERf8AkkXxH/7Dlv8A+kor+bqv6Rf+CIv/ACSL4j/9hy3/APSUUAftvRRRQBzfi/wh4Y8f+GNS8GeM9Nh1jRNYha3u7S4XfHLG/UEdQQeQRgqQCCCAa/EC8/4Ii6DeePdVvLb4lzad4OecvY2i2AuL9YW58qSdpUjyhyA4RtwAJAJIr946KAPyQ0L/AIIyfsrabCo1fWPE+rzY+YyXttChP+ysVqpA9ix+tdWP+CQX7HIGPsWuH/uJt/8AEV+olFAH5ef8Og/2Of8Any1v/wAGbf8AxFH/AA6D/Y5/58tb/wDBm3/xFfqHRQB+Xn/DoP8AY5/58tb/APBm3/xFH/DoP9jn/ny1v/wZt/8AEV+odFAH5ef8Og/2Of8Any1v/wAGbf8AxFH/AA6D/Y5/58tb/wDBm3/xFfqHRQB+Xn/DoP8AY5/58tb/APBm3/xFH/DoP9jn/ny1v/wZt/8AEV+odFAH5ef8Og/2Of8Any1v/wAGbf8AxFH/AA6D/Y5/58tb/wDBm3/xFfqHRQB+Gn/BXKCz+F37Knw1+DWm6nfajC+uK8U2oz/abt7XTrWZQkkpAL7DPGAWy2AMknmv5zq/av8A4LYfEKHWfjH4E+GttKJB4Y0ia+mAPCT6pMF2n/aEdsjfRh61+KlAH9U//BHbw2dE/ZDbVWXB8QeIdRvQfVY0htPyBgP61+qtfHP/AAT88IN4J/Y0+FWjumx7nSRqRyME/wBqSyXwJ/CYV9jUAFFFFABRRRQAV/KL/wAFfP8Ak8e+/wCwJpn/AKC9f1dV/KL/AMFfP+Tx77/sCaZ/6C9AH5w+Df8Akb9D/wCv62/9GrX97FfwT+Df+Rv0P/r+tv8A0atf3sUAFfK3xz/Yr/Zu/aL1GTXvih4SS81x4lhGpW081rdqkYwg3xOquFHQOrAelfVNFAH4PfFP/giR4cuRNefBf4h3Ng/JSy123W4Qk9vtVsI2UD/rg596/ND4tf8ABNz9r34RCa7vvBMvibTYc/6ZoD/2ihA6nyUAuVAHJLQqMd+tf2IUUAfwISxajo2oNFMktjfWcmCrBopYpEPcHDKwP4ivrj4Wft9/tbfCEwweG/iJf39hDgfY9XYanBsH8Ci6DvGv/XNk+tf1m/Fn9nL4GfHO0a1+K/grTfELldi3M0IS8jX0juotk6f8BcV/NL/wUV/Zf/Zk/Zo8R2WifCPxdf3Hia9cS3Xh6fy7yOwtmXKu90CjxFuPLidZHZSWLKu0sAeaftVf8FAPi3+1r4J8N+CPG2nWGjWeiXEl5cLpnmpFe3JTy4pHjleQr5SlwAGIJcnsMfCVFFAH9bf/AATA/Zsk+Af7O1pr3iC1+z+K/iAYtWvg64khtip+xW7dxsjYyMCMq8rqelfpDX8jHwB/4Ke/tP8AwQa20rVdYHj3w5DhTY64zTTIg7Q3gPnoQOFDtIijolfvL+zP/wAFIv2eP2jpLTw99vPgzxfcYQaTqzqgmkP8NrcjEU2TwqnZIe0eKAP0CooooAKKKKACvxK8Uf8ABKfV/jn+0x49+MHxj8SjRvCmtaxNcWen6YRJqFzbghUMkzqYrcMqggBZGxwQhr9ta8++K/xK8OfB34beI/ih4sl8rSvDVlLeTcgNIUHyRJn+OVysaDuzAUAfztftpfGtP2L/AIsWXwG/YweH4f2nh/TYm125tIIbi8vr67xMiXNzcpLLJ5UPlsuWwDIwAAAr9eP+CcPxY8ffGn9lvRvHPxM1iTXdfmv9RglupUjR3SGciMERKi/KuBwK/kl+I/jzXvij4+8Q/EbxRL5uq+JL64v7gjO0PcOXKrnoi52qOygDtX9TH/BJKFov2LtAkbpNqequPoLhl/mtAH6YV/Lb/wAFOPix+074M/ann0LXPFFzpei6RLBrPhddMLWUAgYbYrghDmW5jZXieRyTlWCBYyFr+pKvyP8A+CwHwHi+If7P9r8XNJt9+tfDq4EkrKPmfTL1linXjk+XJ5Ugz91RIe5oA6L/AIJ9/wDBQ/SP2ldPg+GHxQlh0v4m2MRKMMRQazFGMtLAvRZ1AzLCOCMvGNu5Y/1Or+BfRNb1jw3rFl4h8P3sunanps0dxbXMDmOWGaJgyOjrgqykAgiv64v+CfP7aFj+1f8ADVtP8SyRW3xD8LpHHq0C4QXUZ+WO+hQcbZCMSKOEk4wFZMgH6DV+Jf8AwWcsvjZafDvw14g8L6/dRfDiWU2OuaZbYjQ3bnfbTTsgDyROAU2OfLV1QgbnBH7aV5z8Xfhh4b+NHwy8SfCzxdH5mleJLOS0lIALRMwzHMmeN8UgWRPRlFAH81P7B3/BSnxP+z5cWPwv+L80+vfDdmWKCbmW80YE4DQ/xSW4/ih6qOYuhR/6f/DHifw9408P6f4r8J6jBq2j6rCtxa3ds4khmicZDKw4I/keDzX8K3xJ8AeIfhV4/wDEHw38Vw+Rq/hu9nsbhRnaXhYrvQnqjjDIe6kHvX3P+wL+3n4k/ZX8UxeEfF002qfDHWJx9stOZH06Rzg3dqOvHWWMcSDkDeAaAP6368N/aS8PfFvxR8E/FWj/AAM10+HfG8tozadchUJZ0O5oVZwRG0ygxrKMGNiGBGM165oOu6N4o0Sw8SeHb2LUdL1SCO5tbmBg8U0Mqh0dGHBVlIINa1AH8SXwm/aS+P37NfxN1Dxb4V128sdea6ddYs9RMk0d7NG5Esd9DIcu4bcCxIkUklWVua/pp/Y6/wCChfwn/aptIPDV2U8KfEFI8y6PcSApdFRlpLGU481ccmM4kUZyGUbz+bn/AAV7/ZETw/q8f7UvgOy2afq8sdr4khiXCxXbYWC9wOAs3Ecp4HmbDy0jGvw1sL++0u+t9T0y4ks7y0kWWGaFzHLFIh3K6OpBVlIBBByD0oA/vxor8M/2AP8AgqCPGlzpnwT/AGk75IdcmKW+leIZCEjvHPypBenhVmPRJuFkPD4f5n/cygAooooAKKKKACiiigAooooAK+Iv+Cj5x+xN8Uz/ANONqPzvbevt2vh3/gpK239iP4pH/p0sx+d/bCgD+OWv3q/4Ibn/AInXxhX1t9D/APQ72vwVr95P+CHDY8RfF5PW10U/lJd/40Af0MUUUUAFFFFABRRRQAUUUUAFFFFABX8f/wDwVD/5Pp+Jv10f/wBNFnX9gFfx/f8ABUL/AJPp+Jv10f8A9NFnQB8a/DrwhL8QviD4Y8AwXK2UviXVLLTFnZS6xNeTpCHKggkKXyRkZxXS/Gn4LfEL4A/ELUvhp8S9NbT9X05sgjLQXMDE+XcW8mAJIpAPlYcg5VgGDKNX9mv/AJOM+Ff/AGNeh/8ApdDX9j3xp/Zq+B/7Q8ekR/GLwrb+Iv7Claa0d3lgkjLjDJ5kDxuY24LRlihIBIJAoA/h2or+5Dwj+zX+z34DhSHwf8NvD2lmMAeZDplt5xx/elKGRj7sxNesQaHotqgjttPt4VHZIkUfkBQB/AvRX99/9mab/wA+sX/ftf8ACj+zNN/59Yv+/a/4UAfwIUV/ff8A2Zpv/PrF/wB+1/wo/szTf+fWL/v2v+FAH8CFFf33/wBmab/z6xf9+1/wo/szTf8An1i/79r/AIUAfwIUV/ff/Zmm/wDPrF/37X/Cj+zNN/59Yv8Av2v+FAH8OHxC+OnxE+KfgnwV4G8dagdVtfAMV1baZPLlrlbW6MREDyE/OkXlAR55VTtyVCgeP1+7n/BcC2t7fxJ8IxbxJFutNZztULn95a+lfhHQB/cD+yp/ya98Hv8AsTvD/wD6boK97r5//ZOfzP2Wfg4/r4N8P/mNPgr6AoAKKKKACiiigAooprukaNJIwVVBJJOAAOpJoA434i/EHwn8KfA+tfEXxzfLpuhaBbPc3UzdkXoqjqzuxCoo5ZiFHJFfxh/tT/tGeKv2ovjFq/xQ8R7re1lP2bTLEtuWx0+InyYR2Lcl5GH3pGYgAEAfan/BTf8AbhX9oHxh/wAKh+Gl9v8Ah54XuCZbiJvk1bUI8qZsj70EXKw9mO6TkFNv5T2lpdX91DY2ML3FzcOscUUal3kdzhVVRkliTgAck0AWtG0bVvEWrWWg6DZy6hqWozR29tbQIZJZppWCoiIuSzMxAAHU1/Wb/wAE9v2G9L/ZW8E/8JV4xhiu/iX4jgX7fMMOunwNhhZQOOOCAZnXh3AAJVFJ8o/4Jv8A/BPiD4C6ZbfGj4wWSTfEXUYc2dnIAy6Lbyrgj0+1SKcSMP8AVqTGvVy366UAFfjv/wAFd/iH+0b4S+Ftnofw506S0+HesIYvEGs2bs1yrO21LOVVAMFvIMbpASJCfKJQfLL+xFZ+raTpevaZd6JrdnDqGn38TwXFvcIssM0Ug2ujowKsrAkEEYIoA/lX/ZS/4Kk/Gj4DGz8J/EVpfiD4Kh2xiK6lP9pWcY4/0a6bJdVHSKXcMAKrRjmv6P8A4CftL/Br9pXwz/wkvwn1+PUfKVTdWMn7q/s2b+G4tydy85AYZRsHazDmv5+P+ChX/BN7UPgXNffGT4J2st/8PZXMl9Yruln0UseuTlntM9HOWj6OSMOfyy8C+PvGvwy8T2fjP4fa1daBrdg26G7s5DFIvqpxwyN0ZGyrDhgRxQB/ebRX4kfsff8ABXHwz42ay8AftOCDw5rj7YofEES+Xp1y3QfakH/Hs57uP3JOSfKAAP7Y21zb3lvFeWcqTwToskckbBkdGGVZWHBBHII60ATUUUUAFFFFABRRRQAV+af/AAVq/wCTLPEf/YS0r/0qWv0sr80v+CtZA/Ys8RZ76lpX/pStAH8mFf1xf8Eo/wDkyLwZ/wBfer/+l89fyO1996X+3p4/8CfsleH/ANmL4Veb4flRtQbWdZR9tzJHeXUsq29oVOYl2OPMk++SSq7QCXAP1e/b9/4Kdab8LRqPwa/Z5vYtR8YjfBqOsptlttKbo0UHVZbofxHlIjwdz5VPwB+F/wANviP+0d8WNO8DeFxNrXifxRds0txcO0hBcl57q5lO5tqDc8jnJPuxAPldvb3N7cxWlpE89xO6pHGil3d3OFVVHJJJwAOSa/rS/wCCcn7Ftt+y/wDDb/hK/GVqjfEfxbCj6gxAZtPtjh47FG7EHDTEcNJgZKxqaAPqn9m39nvwT+zL8KNK+F3gqPelqPOvrxlCzX97IB5txJjPLEAKuTsQKgOFr3qiigAr8E/+C5P/ACB/g5/1313/ANBsq/eyvwT/AOC5P/II+Dg/6b67/wCg2VAH899f2Cf8EwP+TF/hj/uav/6dryv4+6/sD/4Jgf8AJi/wx/3NX/8ATteUAffNFFFABRRRQAUUUUAFfNf7Yvj4fDH9lv4n+Mlk8me10O7gt3zjbc3q/Zbc/hLKlfSlfkN/wWZ+IZ8Nfs1aL4DtpNtx4x1uFZFz960sEa4f8pvIoA/l8r9Vv+COlr9o/a8klxn7N4c1KT85LdP/AGavypr9cP8AgjBEJP2rtcY/8s/CV+3/AJOWQ/rQB/UZRRRQAV/Of/wXA/5KF8Lf+wXqH/o+Ov6MK/nO/wCC4H/JQvhb/wBgvUP/AEfHQB+Glf3L/s5/8m9/DD/sV9F/9IYa/hor+5f9nP8A5N7+GH/Yr6L/AOkMNAHstFFFAH8MH7QP/JefiT/2Musf+lstfVv/AASw/wCT5vh5/wBc9Z/9NV3Xyl+0D/yXn4k/9jLrH/pbLX1b/wAEsP8Ak+b4ef8AXPWf/TVd0Af15UUUUAFFcJ8S/iX4I+D/AII1T4ifETVItH0HR4jLPPKfwVEUfM8jnCoigszEADNVfhR8V/Afxs8CaX8SPhvqkeraHqqbo5F4eNx9+KVOscqHh0PIPtg0Aei0UUUAFVb15o7K4ktlLyrG5RR1LAcAfU1aooA/nR/Zu/4I0+Ktc+y+Jv2l9a/4R+zOH/sPS3Sa9cdds9180MXuIxKSD99DX7qfCH4E/CP4DeHh4Z+Evhez8O2ZC+a0Cbri4K9GnnctLM3u7HHQcV61Xyl+2T+07oH7K3wV1Tx7ePHPr92Gs9DsnOTc38inYSuQTFEP3kp4+UbQdzKCAfhN/wAFg/j3H8RfjzYfCLRLjzdI+HNu0dxsOVfVL0LJP04PlRrFH6q/mD1r8qvCXhbW/HHinR/Bnhq3N3q2u3cFjaQjrJPcuI419ssw57VS1zW9W8S61qHiPXrp77U9VuJbq6uJTukmnncvJIx7szEk+5r9of8Agj1+y5ceK/HV3+0t4stCNF8LGSz0QSLxcalIm2WZc9Vt42Kg9PMcEHdGaAPhr9r39ib4q/sjeIoB4iP9ueFdRYLp+u20bLBI4XPkTKSxhmUA4UkhlGUJwwX0n9m3/gpx+0X8Aja6HrV//wAJ/wCE4ML/AGdq8rNcRRjtbXvzSx4HCq/mRqOAg61/Vr478B+D/id4S1PwL490qDWtC1eIw3NrcLuR1PIIIwVZThldSGVgGUggGv5QP27f2CvFn7J/iM+JPDvna38NtWmK2OoMN0tnI2SLW82gAOB9yTAWQDswKgA/dH4LftJfsYftu+KPC3ia8tLU/EPwqlx/Z2ka+qi5tXufLaZ7VGY29w2YVKum6RAucR5Of0cr+Am3uJ7SeO6tZGhmhYOjoSrIynIZSOQQeQRX7Dfsjf8ABWj4ifDGWy8EftC/aPGvhVdsSaoDv1eyXpl2Yj7Wg7hyJepDtgIQD+nCiuL+H3xE8EfFbwjp/jv4d6zb67oWppvgurZtyt2KsDhkdTwyMAynIYAjFdpQB/EVbfB/4rfH34zeKdG+FHhi98TX9xq17I4tY8xQiW4chppm2xQqf70jqPev3E/Ya/4JbeLPgb8RPD/xz+LPimKLxBofnSWuj6WPNiRriB4GFzdSAbsJIwKRpjPSQjr+xvhTwd4T8C6Qnh/wXo1noWmxszi3soEt4t7cs5WMAFmPLMeSeSc10lABX4Of8Fx/+Rc+EP8A1961/wCi7Sv3jr8HP+C4/wDyLnwh/wCvvWv/AEXaUAfzzV/aV+wl/wAme/CX/sAWv8jX8Wtf2lfsJf8AJnvwl/7AFr/I0AfWVFFFABRRRQAV/F9+3v8A8nj/ABZ/7Dc3/oK1/aDX8X37e/8AyeP8Wf8AsNzf+grQBQ/Ya/5O++Ef/Yw2X/odf2oV/Ff+w1/yd98I/wDsYbL/ANDr+1CgDw79pX4u2vwI+BHjb4rXDqs2g6dK9oH+7Jey/urSM57PO6KfY1/D3dXNxe3Mt5dyNNPO7SSO5yzuxyzEnqSTkmv38/4LTfHxFh8Kfs4aHcZdiNe1gIegG6KyhbHqfMkZT6Rt6V+Hvwo+GviX4xfEjw58L/CEXm6t4kvIrSHIJWPefnlfHISJA0jnsqk0Af0B/wDBFz4Hv4e+HHin49avblLrxZcDTNNZhz9hsWzO6H+7LcHYfeGv24rhPhf8PPD/AMJfh34c+GnhWPy9K8NWMFjBkAM4hUAyPjq8jZdz3Yk13dABX4o/8FmfgLpXiP4Y6H+0FYywWus+E5o9MuxI6xveWN4/7pE3HLyQTEsqLzseVui1+qHxv+Ofw3/Z58AXvxH+J+qLp2mWnyxRrhri7nIJSC3jyDJK+OBwAMsxVQWH8kH7YP7YvxC/a58djW9fzpXhjS2ddI0aNy0VrG3BkkPAkncY3yEf7KgKMUAfIFdX4E8Hav8AEPxpoXgPQGhXUvEN7b2FsbiVYYRLcyCNC8jcKuTyfyBPFcpSglSGU4I5BFAH9xP7OPwI8K/s3fCDQfhP4TUSRaZFvu7rbte8vZcGe4fry7fdBJ2oFQHCivcq/n0/YK/4KnR6db6f8Hf2odSYwRhLfTPE8xLFFHypDqLdSB0Fx1H/AC17yD+gO0u7TULSG/sJkuba5RZIpY2DxyI4yrKy5BUg5BHBFAFiiiigAooooAK/k9/4K623kftl6tL/AM/Gj6XJ+URT/wBlr+sKv5WP+CxUPlftepJ/z28O6a/5STr/AOy0Afl1pOk6pr2qWmiaJZzahqN/KkFvbW8bSzTTSMFSONFBZmZiAAASTwK/pC/Zc/ZR/aC+A37MXxF134x+ONQgtr7wprAtfByzrc2dkr2Up3zM+8JN/sW5UD+NnyVX8Q/2NP8Ak7P4P/8AY1aR/wClSV/YZ8ff+SE/Ef8A7FvWP/SOWgD+F2voX4Qfsp/tBfHvQ73xJ8IvB1x4j03T7j7JPNFNbxBJwiybCJpUJO1lOQMc9a+eq/pf/wCCJn/JAfHX/Yzt/wCkVvQB+NWt/wDBPv8Aa/8ADOlXOu+I/h7JpWm2al57q71DToIIkHVnkkuQqj3Jr5b0LXvEvw88W2fiLwzqLabrmg3SzW13aTK5inhbKvHJGWRhkdQSrD1Br9tv+Cp37Pv7SfxL/aM0aL4dad4h8aeGtc0yGe3sbbz59P027tyYJxtz5FvvURyF2K7mc88V5F8Jf+CNX7Qvi7yb74qa1pngGxbBeLf/AGnfqO/7uBhB/wCTHHpQB8PfH39sX9oP9pSVYfih4oln0qMqY9Ksx9l09WXoxgj4kfPIeQuwzgEDivmGv6zfgd/wS0/ZH+GsVtrepadJ8R9RX5hdaxKs9pvU4bZaQhYGXI6SiUj1r8Hf+ClumaZo37bPxG0rRrSGwsbT+x44YLeNYoo0XSLMBURAFUD0AoA+R/AHi2y8D+KLTxLfeGtL8WJZncthrKXElk7g5VpI7ae3ZwCPus5Q9GVhxX6d6f8A8Fl/2mdJsbfS9K8I+CbKytI1ihgh06+jiijQYVERb8KqgcAAYAr4v/Y3+B/h39o79ovwt8HfFd9d6bpeurfmWeyMYuE+yWU9yuwyo6ctEAcqeCcc81+43/Dk39nr/od/FP8A38sf/kWgD4V/4fT/ALVP/QteDv8AwB1D/wCWFH/D6f8AapPB8NeDv/AHUP8A5YV91f8ADk39nr/od/FP/fyx/wDkWj/hyb+z1/0O/in/AL+WP/yLQB/Pr8bvjDrnx2+Id/8AEjxFpGkaHe36xq9tolktjaDYMFtgLO7ucszyO7knGdoVR5LXvP7T/wAKdF+B/wAfPGnwn8OXdxfab4avRbQT3ZQzuvlo+XMaouct2UV7V/wTt+C/gL48ftQ6D4I+JVo+o6FFbXd/Jaq5jS4e1TekcpX5jGT94AgkDGcZoA8o0z9kr9ovxD8P9P8Aip4S8C6j4k8LaojvBeaVEb0ny2KSBoYt06bGBBLRgcZBK81/VF+xd+yZ8PP2avhRoEdhokA8a6hYwTa1qksYa8kupkDywrIRuSGNiUSNcDAywLlifsHTdN07RtOttI0e1isbGyjSGC3gRY4ooowFRERQFVVAAAAAA6VdoAKKKKAPxz/4LXt/xjV4OX18W25/Kwva/mPr+mj/AILYyAfs6+Cov73iqJv++bG7H9a/mXoA/sz/AOCe/wDyZj8Kf+wUf/R8tfZNfG3/AAT3/wCTMfhT/wBgo/8Ao+WvsmgAr8nv+Cyn/JpNh/2M+n/+k91X6w1+T3/BZT/k0mw/7GfT/wD0nuqAP5ZK/r9/4JcNu/YV+Gft/bI/8rF7X8gVf16f8EsX3/sM/Dtf7kmsj/yq3Z/rQB+hFFFFABRRRQAUUUUAfyhf8Feb8Xn7ZOpW4OfsOjaXD9MxtL/7Ur8wK++/+Cn2tJrX7b/xHeFt0Vm2m2q+xh062Vx+D7q+HPD2lvrmv6bosYJfULmG3AHXMrhB/OgD+7rwJp50nwR4e0sjb9j060hx6eXCq/0rqqRVVFCKMBRgAdgKWgAooooA8I+Df7M/wP8AgHDN/wAKv8KWul312WNzqDKZ7+4Lnc3mXMm6QqTzsBCDsoryb9vz49xfs9/syeKfE1nci31/W4jo2jgHD/bL1WXzE94IhJMD0ygHevtCv5OP+Co37Ucfx9+OreDPC12Ljwd8PTNYWrxtmO6vmIF5cgjhl3KIozyCqblOHNAH5lV7kfht8dfhB4Q8G/tCWNnqPh3RvEEkraNrdnK0LLNA7xkeZEQ8TNsYpu2+YmSu4A46n9kb9m/X/wBqP42aN8NdLDw6WGF3rF4g4tNOhYec+eRvfIjjB6uy54yR/Yvrnwf+GniT4YN8GNb8P2114MNjHpq6ay/uUtoVCRKmPmVowqlHUhlYBgQwBoA/Bv8AZZ/4LE+JdAa08H/tP2Ta7pw2xr4gsIlW9iHQG6t12pMo7vHscAZ2yMa/e/4ceOvhx8T/AA9H8QPhjqtjrulavtY3tkyt5jIoULKRhhIgwpSQBk6EDpX8ln7cv7FHir9kbx4ptjLq3gLXZHOj6mwyykfMbS5KgBZ4x0OAJFG9QCHVPDvgB+0r8Xv2aPFyeLfhVrT2RkK/a7GXMljfRr/BcQZAbjIDDDrklGU80Af2c/Fz4ueAfgb4B1P4k/EnU00vRNLTLMeZJZD9yGFOsksh4VR16nABI/kF/bC/a78dftb/ABGbxLru7TfDemF4tF0hX3R2kDHl3xw88mAZH9gowqgV2/7Wn7TnxE/bd+IHhY6Kl7PDLbw29l4VtY3m+yaiQEn8kRgm5M7DekhAcKfLKgJuf9SP2IP+CUemeDXsPin+09bQ6rribZrLw5lZrS0Ych71hlJ5QekQJiX+IyE4UA+S/wBgL/gmhrXxpm0/4vfHW0m0nwApWey0590V1rI6qx6NFan+/wANIPuYUh6/pp0nSdL0HTLTRNEtIrDT7CJILe3gRYoYYowFRERQFVVAAAAwBV5VVFCIAqqMADgACnUAFFFFAH5L/wDBZr/k03Sv+xq0/wD9Jbyv5a6/qT/4LNf8mm6V/wBjVp//AKS3lfy2UAf1n/8ABJT/AJMs8O/9hLVf/Slq/S2vzS/4JKf8mWeHf+wlqv8A6UtX6W0AFFFFABRRRQAUUUUAFFFFABX8vX/BXv8AaKh+Jvxtsvg54cu/O0P4co8d0UOUk1e4wZxxwfIQJFzyr+aK/aT9vH9rnR/2UfhBc6jYTxy+OPESS2ug2hwxE2MPdyKf+WVuGDHPDOVT+Ikfx4ajqF/q+oXOq6pcPd3t7K8880rF5JZZGLO7seSzMSST1NADtL0zUNb1O00bSbd7u+v5o7e3hjG55ZZWCIigdWZiAB61/bv+zJ8G7T4AfAfwZ8JrbYZ9DsUF5In3Zb6Yma6kB7hpncrnouB2r8CP+CRn7K8/xG+J7/tCeLLMnw14Gl26aJF+W61grlWXPVbVSJCe0jR4zhhX9N1ABRRRQAV/LL/wWS8TLrf7WVlosb5Xw94csLVl9JJpri5J+pSVPwAr+pqv4yf+CgXjNPHf7ZPxU1qJ98drqx0xeeB/ZcSWJx7ZhP8AOgD4/t4JrqeO2t0MkszBEUdWZjgAfU1/ev4U0OLwx4X0fw3Bjy9Js7e0XHTbBGsYx+C1/Ej+zP4UPjj9oj4Z+EtnmR6n4j0qKUdf3JuozKfwjDH8K/uNoAKKKKACiiigAooooAK5bxz/AMiT4g/7B93/AOiWrqa5bxz/AMiT4g/7B93/AOiWoA/gsr9j/wDgih/ycj4y/wCxTn/9L7Ovxwr9j/8Agih/ycj4y/7FOf8A9L7OgD+m2iiigD8tv+CwP/Jndx/2HdM/9qV/KZX9V/8AwWEbb+x9IP72v6aP0lP9K/lQoA/qv/4I9/8AJn0f/Yf1L+UVfqbX5Zf8Ee/+TPo/+w/qX8oq+hv2zv2xPBX7I/w6bWtQMep+LtWR49E0ndhp5QMGaXHzLbxEgu3UnCL8xyAD4X/4LM/ET4LxfC/Q/hlrtsup/EeW5S/0owuFl0y13bZ5pjgny7hV8tYzjew3/wDLIV/NlXbfEb4ieMfix421f4h+PtSk1bXtbnae5uJO7HhVVRwqIoCogwFUBQAAK+ofgd+wN+0D8ffhN4i+L/gvS1TS9JiZtPhuNyT6zLE2Jo7JcYby1DfMSFZwI1JbdsAMb9hr45fDr9nf9obRPiV8TdBbWtKto5bdJozul02W4AT7bHF0laNCyleDtYsvzqoP9jHg3xn4V+IXhjTvGfgjVbfWtD1aITWt3bOHilQ+hHQg5DKcFSCCAQRX8GFzbXNlcy2d5E8FxA7RyRyKVdHU4ZWU8ggjBB5Br63/AGUf21Pi/wDsmeIDceD7kar4YvZA+oaFdu32S46AvGRkwTYGBIg5wA6uoC0Af2fUV8ifsyfts/Av9qbS4h4I1Yad4lSPdc6FfssV/EQMsY1zieMf34iQBjeEJ219d0AFFFFABRRRQAUUUUAfwi/FtQnxW8aIOi61qI/K5kr7e/4JP/8AJ7XhH/ry1f8A9IZa+JfjBj/hbfjbH/Qc1L/0pkr7a/4JP/8AJ7XhH/ry1f8A9IZaAP63KKKKACiiigAooooAK/m4/wCC3X/JYPhz/wBgKf8A9Kmr+kev5uP+C3X/ACWD4c/9gKf/ANKmoA/Eqv7rvgn/AMkZ8Bf9gDS//SSOv4Ua/uu+CX/JGfAX/YA0v/0kjoA9OooooAKKKKACiiigAooooAKKKKACiiigD+Rn/gqyc/tv+Nx6W2kf+m63r86a/RD/AIKqNn9uLx4P7sGjj/ymWxr876AP787I7rOBvWNf5VZqhpTb9Ms3/vQxn81FX6ACiiigAooooAKKKKACiiigArhfijqqaF8M/F2tykBNP0i/uGJ6Yit3c5/Ku6r5S/bl8WJ4L/ZC+LOtO+zzdAu7BWzjD6kBZJj33TDHvQB/FhX7D/8ABFJ0H7Tfi6M/ebwhdEfQahY5/mK/Hiv1c/4I36qun/tc3VoTg6n4a1G3HuVmtp8f+QqAP6oKKKKACiiigAooooA/no/4Lj/8jD8IP+vXWv8A0O0r8Gq/eX/guP8A8jD8IP8Ar11r/wBDtK/BqgD+834e/wDIg+Gv+wZZ/wDolK6+uQ+Hv/Ig+Gv+wZZ/+iUrr6APj79tn9mPVP2s/hPpnwt0zXIfDqxa3a6jcXc0LXBWCCKZGEcSld7kyDALqMZ57Hzz4Bf8E0P2XfgX9m1STQv+E28QwYb+0ddCXIRxzmG1wLePB5UlGdf79foJRQA1ESNFjjUKqgAADAAHQCnUUUAFFFfn9/wUe+PXxf8AgD8Ap/EHwh0Sa4utTlNnd63GFdNEhkAAnMfLF5CdkbkbEbljuKKwB8sf8FMv+Cg0fwysNQ/Z6+CmpZ8YXsZi1rU7d+dKhkHNvC46XTqfmYcwqeP3hBT+eL4dfDnxt8W/GemeAPh7pU2t69rEojgt4Rkk9Wd2OFRFGWd2IVVBJIAr0/4Cfs6/GP8Aat+ID+G/h9YyajdSyefqWqXbN9ltFlYlprqchjljkhRukc52qxzX9XP7I/7Gnwv/AGSfCH9m+GIhqvifUI1Gqa5OgFxdMOTHGOfJgDfdjU9gXLN81AHC/sOfsMeDv2R/Ch1G+aLW/iFrMKrqeqBfkhQ4Y2lpuAZYVIG5iA0rAMwACIn3vRRQAV/Anq//ACFb3/rtJ/6Ea/vsr+BLVGD6ndsOhmkP/jxoA/Uf/gjp/wAneSf9i5qX/oyCv6pq/lZ/4I6f8neSf9i5qX/oyCv6pqACiiigAr+aH/grX4K8a/E79s3w14R8AaHe+ItYfwlYJHa2MD3EpH229YsVQHCjdkscADkkCv6XqqR6fYRXs2pRW0SXdwqJLMqKJHSPOxWcDJC7jgE8ZOOtAH85X7O//BGfx54k+zeIP2jNdXwpYNhzpGmNHc6iw7rLcYa3hP8Au+d/wE1/RJ4Z8Pad4S8N6T4U0gOLDRrSCytxI29/Jto1jTcx6naoye5rcooAK/mH/wCC1n/J0HhP/sTrP/046hX9PFfzD/8ABaz/AJOg8J/9idZ/+nHUKAPx7r+9/wAL/wDIs6R/152//ota/ggr+9/wv/yLOkf9edv/AOi1oA3a5vxR4N8IeN9OOj+NNDsdfsCSTb6hbRXUOTx9yVWXp7V0lFAH5z/GH/glr+yT8VLaebR/Dr+BNXkBKXehSGCMN23Wj77crnqERGI4DDgj+cj9rv8AZM8a/sifEeHwT4nvYdY07VIDd6ZqUCmNbmAOUYPGxJjlQj503MBkEMQc1/afX83H/BbjxRZ3vxd+HXg6Jg1zpOiXF5LjqBfXGxAff/Riceh96APxKr+yT/gnP4fXw1+xX8LbBV2m40+a9PqTe3U1zk/hJ+Vfxt1/bt+yRp40v9lj4QWYG0r4S0NmH+1JZRO36k0AfQ1fgb/wXL/5B/wZ/wCuuv8A/oNhX75V+Bv/AAXL/wCQf8Gf+uuv/wDoNhQB/PrX6V/En9pH/goX+zZD4Z8KeIvHl9p+jX+j2V3oc8NtaPa3GnvAhiEUjW+S0SlUkVvmVhzkFWb81K/sy1L9nj4cftM/sk+Cfhx8RrPzIJPDulSWd5GALqwuhZRhJ4HI4YdCD8rrlWBBoA/mp/4ePftsf9FTvv8AwGsv/kej/h49+2x/0VO+/wDAay/+R6/YfwH/AMEVPgNo0SSfELxjrvia6XGRaiDTbZvXMey4k/KYV9E6b/wSr/YdsYglz4Dn1Bh/HPrGpBj+EVzGP0oA/lG+IPxC8ZfFXxhqPj/4gam+s+INWZGuruRUR5TFGsSErGqqMIijgDpUHgbxz4r+Gvi3TPHXgfUH0rXdHl860uo1Rmik2ldwDhlPBI5Br+tb/h19+wt/0TJf/Bxq/wD8mUf8Ovv2Fv8AomS/+DjV/wD5MoA/mh+Iv7a/7U3xY8J3ngX4gfEO/wBV0LUNv2m12QQJMEO4K5gjjZlyASpO0kDI4FfLdf2Bf8Ovv2Fv+iZL/wCDjV//AJMo/wCHX37C3/RMl/8ABxq//wAmUAfzXfsf/tZeNv2SvidD4u0Evf8Ah/USkOtaUXxHe2wPVc8LPFktE/Y5U5RmB2f2/fiX4N+MX7VXiv4l+AL8aloOvWujT20wG08aVao6Op5WSN1ZHU8qykHpX9HH/Dr79hb/AKJkv/g41f8A+TK/nD/b7+FngP4LftX+NPht8M9L/sbw5pK6YbW0E01x5ZuNOtp5P3k7ySHdJIzfMxxnAwAAADI/YX/5PA+En/YwWf8A6FX9ptfxZfsL/wDJ4Hwk/wCxgs//AEKv7TaACvDf2if2gfAX7NHwv1L4n+P7jFvajy7S0RgLi/u2BMVvCD1ZsZJ6IoZ24U17lX8sX/BUmx/aM8Yftaw+BfFNrPq2nXSxr4NsdOikeGa1uCFPlRjcWumkUrOfvEqMYj8sUAfBHx3+N/j79pH4p6p8TfHUxuNT1WQR29tFkxWtupIhtbdeSEQHA7sxLNlmJP7u/wDBNv8A4JzH4dDT/j/8fNMH/CVMFm0TRrhc/wBmA8rdXKH/AJej1jQ/6nqf3uBH2v7Av/BM7Svge+n/ABf+OcMOrePlCzWOnfLLaaOx5DE8rLdL/fGUjP3NzASV+wVABRRRQB/HD/wUgbd+218Uj/0+2o/KxtxXiP7Mbbf2k/hO3p4t0I/+T8Nez/8ABRht/wC2t8VD/wBRCAflaQCvEf2bn8v9on4Wv/d8VaIfyvoaAP7k6KKKACvhL/gplJ5X7DvxQb1g05f++tTtR/Wvu2vgP/gqHL5X7C3xMPdho6/99avZigD+P+ui0Txh4t8Mxyw+G9bvtKjnIaRbS5lgDkcAsI2GSPeudr+gH/gjT8OPh544+H3xIufGvhfS/EE1rqlkkL6hZQXbRq0DkhDKjFQTyQKAPw8/4Wt8Uf8AocNZ/wDBhcf/ABdH/C1vij/0OGs/+DC4/wDi6/ti/wCGf/gN/wBE38Nf+Cez/wDjVH/DP/wG/wCib+Gv/BPZ/wDxqgD+JK++I/xD1Szl0/U/FGqXdrcKUkhmvZ5I3U9Qys5BHsa4yv6/v21/gr8G9B/ZP+KWsaH4D0DTr+00O5khuLbS7WGaJwBhkdIwykeoOa/kBoA/ev8A4IbS41n4xQ/3rfQm/wC+XvR/Wv6Ea/na/wCCHk4Xxn8WLXP+s0/Sn/74lnH/ALNX9EtABRRRQAV/Ep+2Lqqaz+1d8Xr6Mgp/wlOrxKR0IgupIgR9dua/tkurq3srWa9u5BFBbo0kjtwFRBlifYAV/Bj428RS+L/GeveLZgRJrd/dXzA9d1zK0pz/AN9UAfSv7BDpH+2P8JmfodbhH4lWA/U1/aBX8Sf7Heqro37VvwhvnO1f+Eq0iJj6LPdRxEn2w1f22UAFFFFABRRRQAV+Wn/BYL/kz2b/ALD2mf8AtWv1Lr8tP+CwX/Jns3/Ye0z/ANq0AfynV/YB/wAEvP8AkxX4ZfTWP/TveV/H/X9gH/BLz/kxX4ZfTWP/AE73lAH35Xk/x4+H2o/Fj4L+N/hlpFzFZ3vinR73TYZ593lRPdRNGrvtBbaCcnAzXrFFAH5SfAP/AIJG/s7fC77NrPxNeb4k65FhiLxfs+mI4/u2aMS47ETSSKf7gr9SNG0XRvDumW2ieH7C30zTrNBHBbWsSQwxIOipGgCqPYAVp0UAFFFFABRRRQAUUUUAfzVf8Ftp93xx8AW3/PPw4z/993kw/wDZa/Fiv2J/4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UUUUAFFFFABRRRQB/It4P8A+S96J/2M1t/6WrX9dNfyLeD/APkveif9jNbf+lq1/XTQAUVBc3NtZW0t5eSpBbwI0kkkjBURFGWZmPAAAySeAK8x+Ffxs+GHxrsNR1H4Z67DrUOk3L2tz5YZXjdSQrbHAYxyAZjcDawzg8EAA80/bSt/tP7LHxIjPbS2f/v3Ijf0r8Pf2Zf21P2gfhTq2l+CdE87x1o9zKlvBod1vmmyxwsdnKoaWMnoq4ZB/czzX7rftdxiX9mP4mKe2h3bf98pn+lfiZ/wTHiik/aks2kQMY9J1BlJGSrbVGR6HBI+hoA/op0G+1DU9E0/UdW099JvbqCKWezkdJXt5XUFomeMlGKElSVODjI4r5y/bVUP+yv8SA3T+zCfylQ19R18v/tp/wDJrHxI/wCwW3/oxKAPxW/4Jn/8nVaT/wBg3Uf/AETX9JNfzbf8Ez/+TqtJ/wCwbqP/AKJr+kmgAork/Hfjfw38NvCGq+OvGF19i0fRYGnuZdrOVQcABVBLMxIAAHJIFUPh58TfAPxX8PReKfh3rltrumy4Bkt3y0bEZ2SxnDxv6q6hvagDumVWUqwyDwQehFfzDfH39lnxj4c/aovvg74I0eWWHxJe/aNECofJ+xXTb87gDiO2yySMfuhCTxiv6eqPegDm/BvhyHwf4Q0PwlbyGaLRLG2sUduC620SxBj7kLmvxT/az/ak+OH7PX7XPiRfA3iCSTRp4NNmOk32bnTzm0jVgsTEGLcyksYmRiTya/Uv40ftCaN8HPFnw/8ABc+lT61qvxB1MadbQ28io0KbkRp2DDlVaVARkcZOflxX4e/8FMlC/tU6of72macf/IWKAP2P/ZG/afvf2nPCN9r174RuvDsulSJBLcbhLYXMpBLC3kO1yy4BdSpCBlG9ial+E37Gfwe+DvxV134u+GormfV9WedraK4ZGt9OW5JaVbZVRSN2SoLFiE+UHls9v+yvZ2lj+zZ8MYbKBLeN/DumSlY1CAyS26SSMQP4ndizHqSSTya98oAK83i+Dvwlh8Q3fi6PwXow1u/lM098bC3NzJIerNKU35PUnPJ5PPNekUUARQww26CKCNY0HRVAAH4CpaztX1jSvD+l3eua5dxWGn2ETTXFxO4jiijQZZ3ZsAADqTXD/Cz4u/D340+GP+Ev+G2rpq+mLNJbu6q0bxyxHBV43CuhIww3AZUhhwRQB8Df8FYf+Tf/AAz/ANjPbf8ApFeV59/wSP0+w/4RX4hat9mj+2/bbODz9g83yvLdtm/Gdu7nGcZ5r0H/AIKw/wDJv/hn/sZ7b/0ivK4r/gkf/wAiL8Qv+wlZ/wDol6AP13ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigD85v+CMH/H98ev+wppX/oV/X7m1+GX/AARg/wCP749f9hTSv/Qr+v3NoAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAr8mf29P+Ck9z+y3460v4X/DLSdP8SeIlg+1av8AbmlMVmkoBt4gIXQ+a65kYE/KhQ4O/j7f/al/aF8N/sx/BfXPipr+ye4tU+z6bZs203uozAiCEd8ZBeQjlY1Zu2K/iy8beMfEnxC8Xax458YXj6hrWu3Ut5dzv1eWZizEDoFGcKo4AwBwBQB/Z7+x98bdf/aL/Z08JfGXxPYW2man4h+3+db2e/yE+yX1xars8xnblYQTljyTjivpevgH/glz/wAmKfDL/uM/+ni9r7+oAKKKKACiiigAooooAKKKKACiivHvj6vxhf4ReIk+ALW6ePmihGltd+X5KuZ4/NLedmPiHeRuBGccUAew14X+0L+0L8OP2avh1f8AxC+ImoRwJDHILKyDgXOoXKrlLe3TqzMcAtjagO5iFBNflRrXhn/gtlqdu0SeItKtV2nK2p0WN2+jtBuB+jCvxE/aLs/2gNH+J2oaB+0ndarceMbDAlGrXTXbiOT5lMMm90MTD7pjYp2HTAAP6hf+Cd37UnxC/aw+F3ifx18RLSwsrvTNel0+3i0+KSKNbcW8EyhvMkkLMDIRuyMjHFfoDX41f8ETv+TdvGv/AGNUv/pDaV+ytABRRRQAV4/8aPj18Jv2ffCreMPi14it9CsjuWBHJe5upFGfLt4EzJK3IztBCjliBzXS/FD4haF8J/h14k+JfiUkaZ4ZsLi/nVSA7rAhcRpnje5AVR3YgV/Jt8P9f8R/8FAf22/Ctt8btSlksvE+our20UjLFa6daxyXP2K25/doyxmPcPmLMXJLkkgH6c+J/wDgsdqvijW59B/Z1+DmpeKTGcpPeSO0zLnGTZ2ccxAJ6Ezfhngecaz/AMFc/wBqDwBcRyfE34IW+j20r7UW6i1HTXbHJUPcBgTj0X8K/eHwN8PfA3wz0CDwt8PdBsvD2k2ygJbWMCQJwMbmCgbmPdmyxPJJNbutaJoviTSrrQvEVhb6ppt6hintbqJZoJY24KvG4Ksp7gjFAH5mfs6/8FX/ANn7416ta+FPGcE/w58QXrpHAmoSrPp80jnARLxVQK2f+e0cangBiTiv1Hr+Vz/gp3+xNov7N3izTviZ8MLU23gPxbM8DWgJZNN1EKZPJQnnypkDPEDnaVdeFCivtj/gkp+2drPjeB/2ZPibfte6lpNq1x4dvJ3LTTWkPMtk7HljCvzxdT5YZeAiigD9y6KKKACvzS/ae/4Kh/Af9nrVb/wVoUU3j3xhp7GKezsJFis7aYdY7i8YModejLEkpU5VgpBA8d/4KpfttX/wd8PJ8AvhbqEln4y8R24m1K+t3KS6dp0hIVI3XBWe4wQCDlI8kYLow/Mv/gmx+xTaftRePL3xt8RInf4feEZYxdRZZDqd643pah1wQirh5yDu2lVGN+5QD6Qn/wCC1/xfubptQ0z4WaUukQn96r3N1K656ZnUIi/jHX1t+z7/AMFg/gr8TNUtvDPxb0eb4c6ndyLFFdvOLzS2LHC+ZOEjeDJPV4zGo5aQCv1h0Dwz4c8K6Fa+F/DOl22laPZRiGCztYUht44wMBFjQBQMdgK/Cr/gqT+wV4P0rwfeftJ/BfSIdFm0pg3iHTbSPZBPDK4X7bFEvyxvGzDzgoCshMhwVYuAfvZDNDcwx3FvIssUqh0dCGVlYZBBHBBHQ1LX863/AASe/ba1HRtfsv2W/idfyXOlaqxXw1dzOWNpcYz9hJY/6qXH7kfwyfIAQ42/0U0AFFFFABRRRQAUUUUAFFFFABRRXyP+2j+1Non7J/wZvfHM6JeeIdRY2Oh2TdJ711JDyAYPkwgb5DkZACAhnWgCf9pr9tH4Gfsp2MC/EbU5LnXL2My2mj6egnvpkHG8qWVIoyeA8jKGwdu4ggfkfr3/AAWz+Iuq6g9v8PfhTYxRhiUF5eT3srRg9SsCQ7SR15YA9zX5mfBf4Z/FH9uH9o628O6nrE9/rfiWeS91jV7rMxtrSLBmnYdMKuI4kG1dxSMbQRj+vP4J/Ab4W/s9+DLbwP8ACzQ4dJsoVXzpgoa6vJVGDNczY3SSN6ngdFCqAAAfkN8Kf+C2XhrUdXi0v40fD+bQ7OTCtqGkXP2sRtnGXtZVjbYOpKyMw7Ka/aX4efEXwR8V/CGn+PPh3rEGu6Dqib4Lq3bKnsVYHDI6nhkYBlOQwB4r42/be/YV8AftReB9S1bRNNtdJ+JdlCZNO1WNBE1y8YJFrdsuPMjk+6GbLRHDKcblb+e79iT9rjxd+x18Xjb699qfwbqNx9k8Q6S27dEVbYbmOI9LiAjkYBdQ0ZxkFQD+w+iqGlapp2uaXZ61o9wl5YahDHcW88Z3JLDKodHUjqrKQQfSr9ABVe8vLTT7Sa/v50tra2RpJZZWCRxogyzMzEBVAGSScAU+eeC1gkubmRYoYVLu7kKqqoySSeAAOSTX8vf7bf7ZXxA/bO+K9n+z5+z691L4MmvU0+0t7ZjE+vXbOAJ5+VxbqRmNHwoUGWTBwIwD9JPjl/wV9/Z3+GtzdaJ8NLK7+JGrWzNGZLVhZ6ZuU4IF3IrM4z0aKF0Ych8YNfOd7/wVQ/a71O0GueFf2eJY9IHzGaW11O7j2Yznzo4oUHHfGK+4f2N/+CePwn/Zn8P2GveJLC28VfEaWNHu9UuIxNFaSnkx2CSDEaoePNx5j8klVIRf0QoA/ED4Jf8ABaLwP4j1u38PfHTwdJ4RSdxGdV0+dry1jYnGZ7dkWaNF7shlP+zjmv2s0bWdI8R6RZ6/oF7DqOm6jClxbXNu6ywzQyKGR0dSQysCCCDgiv5LP+CqmnaBpn7afi+30GwSwMltps12I1CLLdTWqSPLgADc4Zdx7tknkmv0N/4Ip/GHxdrugeOfgxrU8l5onhsWuo6YXJb7L9reRJ4QSeEdlWRVHAbzD/FQB+7NFFFAGF4m8UeHPBeg3vijxdqlto2j6dGZbm7u5VgghQd3dyFAzxyeTx1r8ifix/wWQ+Fmia23hf4F+DtR+It8zmKO5djYWsr5wDAnly3Eo9jFHnse9fmF/wAFKv2u/Evx8+M2sfDvRb94fh/4JvZbG0tYmIivLu2Yxz3koBxIS4ZYSeFjwQAXfP8ARj+y3+zH8KP2c/hvomj+B9GtRq0llC2oauYla9vp3QNI7zEF9hYkpGDsUcAdyAfk5rX/AAVU/bF8PWx17XvgEul6Kq72murLVIUCf3vPcKgHvtr1H4N/8Fpfhh4m1G20f40eELrwaJjsbUbGY6jaIT/FLEEjnRf9wSn29P2xIBGDyDX4kf8ABT79gvwZrXw/1f8AaK+EOjQ6P4j8PI15rdpZxrFBqFkOZrny1AVZ4RmR2AG9A5bLBaAP2X8K+K/DXjjw7p/i3wfqdvrGjapEs1rd2sglhljboVZePYjqDkHkV0Ffya/8E2v2ztZ/Z2+KVl8PfFt+z/DjxfdR293HK5MenXcp2R3sWeEG4hZ8YDJ8xyUWv6yqACiiigAooooAKKKKACiiigAoor8cP+CqX7bV/wDB3w8nwC+FuoSWfjLxHbibUr63cpLp2nSEhUjdcFZ7jBAIOUjyRgujAA9i/ae/4Kh/Af8AZ61W/wDBWhRTePfGGnsYp7OwkWKztph1juLxgyh16MsSSlTlWCkED8+Z/wDgtf8AF+5um1DTPhZpS6RCf3qvc3UrrnpmdQiL+MdfN/8AwTY/YptP2ovHl742+IkTv8PvCMsYuossh1O9cb0tQ64IRVw85B3bSqjG/cv9U+geGfDnhXQrXwv4Z0u20rR7KMQwWdrCkNvHGBgIsaAKBjsBQB+T37Pv/BYP4K/EzVLbwz8W9Hm+HOp3cixRXbzi80tixwvmThI3gyT1eMxqOWkAr9eIZobmGO4t5FlilUOjoQysrDIII4II6GvwT/4Kk/sFeD9K8H3n7SfwX0iHRZtKYN4h020j2QTwyuF+2xRL8sbxsw84KArITIcFWL8P/wAEnv22tR0bX7L9lv4nX8lzpWqsV8NXczljaXGM/YSWP+qlx+5H8MnyAEONoB/RTRRRQAVyXjrx54O+GXhTUfHPj7VoND0LSYzLc3dy21EXoAOpZmOAqKCzMQqgkgV0d9fWemWVxqWozpbWlpG8s0sjBUjjjBZmZjwAoBJJ6Cv5B/2+f2ztc/as+J89toV3PbfDrw/K0Wj2RLItwVyrX00fGZZedgYZjjwvDFywB+mfxb/4LYeDdH1aXS/gv4Dn8R2kWV/tHVbj7CjsOhjtkSSQoeoLvG3qoryjRf8Agtj8TtKvYx47+FOnzW0pDBbW7uLKTyieqmZJwx98AE+lfY3/AATo/YE8J/BXwLpHxa+KOjw6l8SNcijvIRdR7xosEq7o4YkfhbjacyyY3KT5akAMX/ST4j/DD4ffF3wtdeC/iXoFp4i0a7GHt7uMOAezxtw0bj+F0Ksp5BBoA+fP2YP23vgX+1bby2ngK/l0/wARWkQludF1FVhvUToZI9rMk0YPBaNjtyN4XcAfr+v46v2tvgF4z/YU/aOt4vA+sXdrZkrq/hrVYmKXCQb2Xy3dcAywsCj9nUqxUB9tf0lfsOftX6X+1n8GoPFcyJZ+KtEZLHXbROFS6C5WeIdRDOvzJn7pDJk7MkA+y6KKKACvk79pr9tH4Gfsp2MC/EbU5LnXL2My2mj6egnvpkHG8qWVIoyeA8jKGwdu4ggQfto/tTaJ+yf8Gb3xzOiXniHUWNjodk3Se9dSQ8gGD5MIG+Q5GQAgIZ1r+WP4L/DP4o/tw/tHW3h3U9Ynv9b8SzyXusavdZmNtaRYM07DphVxHEg2ruKRjaCMAH6Z69/wWz+Iuq6g9v8AD34U2MUYYlBeXk97K0YPUrAkO0kdeWAPc16P8Kf+C2XhrUdXi0v40fD+bQ7OTCtqGkXP2sRtnGXtZVjbYOpKyMw7Ka/Xn4J/Ab4W/s9+DLbwP8LNDh0myhVfOmChrq8lUYM1zNjdJI3qeB0UKoAHzF+29+wr4A/ai8D6lq2iaba6T8S7KEyadqsaCJrl4wSLW7ZceZHJ90M2WiOGU43KwB9k/Dz4i+CPiv4Q0/x58O9Yg13QdUTfBdW7ZU9irA4ZHU8MjAMpyGAPFdrX8eH7En7XHi79jr4vG3177U/g3Ubj7J4h0lt26Iq2w3McR6XEBHIwC6hozjIK/wBgGlapp2uaXZ61o9wl5YahDHcW88Z3JLDKodHUjqrKQQfSgC/RRRQAUUUUAFFFFABRRRQAUUV+cf8AwUd/bJH7LvwtTw/4PnH/AAsLxjHLDphGG+w264Wa9YHjKbtsIPBkOcFUYUAdh+1J/wAFCvgN+y3dy+GNcuJvEnjFYxING0za0kW8ZT7VMxEcAYc4O6TaQwjIIJ/L3UP+C2PxY1O7aXwn8KtMhs4fnlSa7ubyQRj1kiSEL9SmPavhP9if9l7xB+2d8c5rDxJfXJ0DTj/aniPUndpLiRJJOIhK2SZ7l9wDMSQA7/MV2n+uT4ffDfwJ8KPC1p4K+HGh2vh7RLFdsVtaRhFz3Zz953bqzuSzHkkmgD8hPgr/AMFo/hl4o1SPRvjZ4SuPBazMqpqNjMdRtFJ6maPZHNGo9UEp9h1r9m9B17RPFOi2XiPw3fwappWpRJPbXVtIssM0TjKujqSGUjoQa/KL/gpD+wP4N+Kvw+1r40fC3RoNJ8f+HoZb+7W0i2LrFrEpaZJI04NyqgtHIBucjy2zlSn5k/8ABM39trUfgF8QbX4S+Pr+SX4d+LLhIU81yU0m+mbalwmThYZGO2ccAcSdVIYA/qpooooAKztX1jSfD+lXeua7eQ6dp1hE89xc3EixQwxRjc7u7EKqqBkknAFaNfy5f8FP/wBtvUPjR48u/gh8OdRki8BeFZ3gvXhcqmrahC2Hd8ffggYbYh91mBk5ym0A+6fjf/wWd+FHg/U5NE+Cvhe58dNCzLJqF1MdNsjjvCpjkmlGf7yRDuCRXzlY/wDBbD4uWVwt74h+FelzaZOcwrFdXVs7KOuJnWVW+oT8K9T/AOCXf7A3hRvB+nftJ/GjSIdXv9YAn8Pabdx74bW2VvkvZI2+V5ZSN0IYFUTDjLMNn7feJfCnhjxnoN14W8W6Ta6zo99GYp7O7hSaCRD2aNwVPtxx2oA+I/2Wf+Ci/wAB/wBqC/t/CVhJN4U8ZzIWXSNSK/v2UZYWlwp2TYHO0hJCAT5eASPvyv5Nf+CjH7Hq/sk/FLS/Gnwyea08FeKJXuNL2O/m6Xe25V3thNndhciSBy2/bkZJjLN+y/8AwTU/bOl/aa+G83grx1cb/iF4LhiS8lY86jZn5Irwf9NARsn7byr8eYFAB+mdFFFABRRRQAUUUUAFFFFABRRRQBT1H/kH3X/XJ/8A0E1+Jv8AwRD/AOSV/Ev/ALDVp/6TGv2y1H/kH3X/AFyf/wBBNfib/wAEQ/8AklfxL/7DVp/6TGgD9vqKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiivhv9uv9snQv2R/hmt5ZrHqHjjxEssOh2L8oHQAPdTgf8sYdw4zmRiEGBuZQD1v9oH9qr4HfsyaRBqXxa8QpYXN6CbTT4ENxf3QXqY4E5C5GPMfbGDwWBIFfljq3/BZDxR4u1u50j4C/BO/8RRRY8uS4nkluWB4Be0s4ZdmfaZs+tfJn7FH7HXjf9uzx5qnx8/aI1e/v/CMV0y3NzLMwu9Yu0AJt4n6xW8QIDsgAUYiiwQWj/pa8DfD7wP8MvD1v4T+H2hWfh7SLVQsdtZQrCnAxubaAWY45Zssx5JJoA/CG9/4K/8A7RPw91aCL4vfBGHS7ecsVgl+3aVO6r12NdJKCRkZOz8q/Uz9lX9tz4MftaabPH4JuJdK8SWEYkvNEv8Aat3GnAMsRUlZodxxvU5GRvVCwB5n/gpRp2gXv7FnxJuNfsEvhY21tNbFlDNDdG6ijilQ4yrKX5I/hLA8E1/JR8L/AIl+L/g94/0T4leBL1rDW9AuUuYJATtbb96OQAjdHIuUdTwykg9aAP7v6Kx/Durf2/4f0zXfJa3/ALRtYbnym+8nnIH2n3GcGtigAooooAKKKKACiiigAooooAr3d3aafaTX9/MltbWyNJLLKwSONEGWZmbACgDJJ4Ar8ovjj/wV+/Z4+GmoT6F8OLG7+JGoW5ZXms3FnpoZeCq3Uqs0nP8AFHE6EchjXwH/AMFVv21Nd8e+PtS/Zt+H2oPa+EfDE3kay8LFW1HUoj+8hcjkwWzfJs6NKGY7gqEfe3/BPn/gnh4F+EngXR/ip8YNCg1v4h6zFHeRw30SzRaNG43xRxxOCv2naQZJCCyN8iY2lnAPnCz/AOCq/wC1x4ygGp/Dr9n432ny5aOSK11PUFKf9dIEjU8dwPwqxp//AAWU+IngzWY9J+N/wVl0rzACRBcT2Vwq92EF5Cd49t6/Wv3xAAGBwBXGePvhz4E+Kfhu58H/ABF0Gz8Q6NdjElteRLKmezLnlHHVXUhlPIIPNAHh/wCzj+2P8B/2pLGRvhjrZGsWsYlutIvk+z6hAp4LGMllkQEgF4mdASAWBOK+pK/kW/bO/Zx8WfsFftBaR4j+FurXljomou2p+G9RR8XFs8LATWrv/G0JZQcgh43XdklhX9E37D/7Udn+1d8D7HxvdJFa+JtMkOn65axZCR3kahhJGpJIjmQrIvXaSyZJQmgD7Doorj/iD468OfDHwPrvxC8XXH2XRvDtnNfXUnUiOFSxCjjLtjaq9WYgDk0AV/iJ8SvAXwl8K3fjb4k67a+HtEsh+8ubuQIu49EQcs7tj5UQFmPABNfkJ8Sv+Czfg2LWJfDvwE+Huo+NZ8lY7u8kNnHIR/FFbRxzTOvpu8pvUDv+Z7+Kfi//AMFQP2tNH8L67qMml6PezzNbWqEvbaLpEIMkzInAeYooBkYAySlQSqbQv9OHwM/Zu+DX7OfhxPDvwn8N2+lbo1S5vSokvrwr/FcXDDe+TztyEUn5VUcUAfjdqX/BVP8AbH8P2za/4i+Aa2GiKu8zT2OqwIE9TPJ8mPfbXofwr/4LYfDvWr63034v+A73wzHIwV77TbkajCmf43hZIZVUd9hkb0B6V+4Nfj1/wUk/YD8C/EH4da78cfhRosGi+OPDkEuoX0NnGsUOrWkQL3HmRIADcogLo6jdJgo24lSoB+p3w7+JHgX4s+ErLx18ONat9f0LUATDdWzblJHDKynDI6nhkcBlPBANdvX8d/7Av7W+ufsufGSwOoXrf8IH4lnitNdtXJMUcbsFW9Re0lvncSBlo9ydwR/YcjpIiyRsGVgCCDkEHoRQA6iiigAoor54/al/aF8N/sx/BfXPipr+ye4tU+z6bZs203uozAiCEd8ZBeQjlY1Zu2KAPiD9vT/gpPc/st+OtL+F/wAMtJ0/xJ4iWD7Vq/25pTFZpKAbeICF0PmuuZGBPyoUODv4+z/2Pvjbr/7Rf7OnhL4y+J7C20zU/EP2/wA63s9/kJ9kvri1XZ5jO3KwgnLHknHFfxheNvGPiT4heLtY8c+MLx9Q1rXbqW8u536vLMxZiB0CjOFUcAYA4Ar+tb/glz/yYp8Mv+4z/wCni9oA+/qKKKACiiigAooooAKKKKACiiigAr5O/aa/bR+Bn7KdjAvxG1OS51y9jMtpo+noJ76ZBxvKllSKMngPIyhsHbuIIEH7aP7U2ifsn/Bm98czol54h1FjY6HZN0nvXUkPIBg+TCBvkORkAICGda/lj+C/wz+KP7cP7R1t4d1PWJ7/AFvxLPJe6xq91mY21pFgzTsOmFXEcSDau4pGNoIwAfpnr3/BbP4i6rqD2/w9+FNjFGGJQXl5PeytGD1KwJDtJHXlgD3Nej/Cn/gtl4a1HV4tL+NHw/m0OzkwrahpFz9rEbZxl7WVY22DqSsjMOymv15+CfwG+Fv7Pfgy28D/AAs0OHSbKFV86YKGuryVRgzXM2N0kjep4HRQqgAfMX7b37CvgD9qLwPqWraJptrpPxLsoTJp2qxoImuXjBItbtlx5kcn3QzZaI4ZTjcrAH2T8PPiL4I+K/hDT/Hnw71iDXdB1RN8F1btlT2KsDhkdTwyMAynIYA8V2tfx4fsSftceLv2Ovi8bfXvtT+DdRuPsniHSW3boirbDcxxHpcQEcjALqGjOMgr/YBpWqadrml2etaPcJeWGoQx3FvPGdySwyqHR1I6qykEH0oAv0UV+TP/AAVK/bO1j9n7wXY/CX4aXpsvG/jKB5ZruM4l07S8tGZYj/DNO4ZI3GSgV2GGCGgD3P8AaT/4KL/s6fs2X914X1bUZvFHi21+WTSNIVZZIHPQXMzFYYj6qWMgHOzBFfnyv/BYD45ePby4X4NfAptSt4jtGJLzVJAexcWsMYUn+729TXkf/BMX9g3QPjhHcftB/HCzOqeGLe6kh0rTpyTHqVzGSJri47vDG/yhc4kkDb/lUq/9ImkaPpGgabb6NoNjBpun2iCOG2tolhhiReipGgCqB2AAFAH4J3X/AAVt/aW+H7w3Xxe+Av8AZtkXCsZF1DSS2eyvdRSqD+Br7n/Zu/4Kb/s6/tCanaeEri4n8EeK71xHBYasVEVzIeiW92h8pmJwFV/Ldjwqmv0NvbKz1K0msNRgjurW4UpJFKoeN0bgqytkEHuDX86H/BUX9gjwt8LdJ/4aK+CWmLpOhGeOHXdKtl229o87BIbu3QcRxvIRG8a/KrMhQAFsAH9HFFfjD/wSj/bT1v4uaPdfs/fFLUGvvEvhu1FxpF9Mxaa90+MhHilc/flt8rtb7zxnnlGZv2eoAKrXl5Z6daTahqE8dra2yNJLLKwSONEGWZmbAVQBkk8AVZr+Xb/gpJ+2d4x+PXxUvf2e/hfeSr4I0S+GnPDatzrWpRybGZyv34Ul+SFMlWI8w5JTYAfpP8dP+CvH7Pvw01Gbw78M7G6+JmqwOY2kspBa6bvHG1bt1dpOejRROhHIc18zn/gqb+2RrEJ1nwx+z6X0kHPmmx1W6Xb2/fRrGnTvj8K+/f2Ov2AvhL+zL4X0nWNV0m18QfEgxJLe6xcIJjb3DAForEOMQxxnKh1AkfkscEKv37QB+A3hD/gtvd2mpnTvir8KWtkjbbLJpl8RNEQcMDbXMa5PsZVxX65fs+ftT/BP9p3QptZ+E2vLez2aqbzT7hDBf2m/p5sLc7SeA6FoycgMSDXJftU/sc/CT9qnwfeaZ4q02Gx8TpCRpuuwRKL21lUfIHcDMsOeHiYkEEldrYYfyW6B4j+LP7I3x3lvNIuG0bxl4E1Ka0uFBLQyNBIUmhkA2+bBKAQR0ZCCMcGgD+4aivIfgJ8YdA+Pnwf8LfFzw2PLtPEVmszw53G3uEJjuICe5imV0z3xkcGvXqACiiigAooooAKKKKACiiigAr80v2nv+CofwH/Z61W/8FaFFN498Yaexins7CRYrO2mHWO4vGDKHXoyxJKVOVYKQQPHf+CqX7bV/wDB3w8nwC+FuoSWfjLxHbibUr63cpLp2nSEhUjdcFZ7jBAIOUjyRgujD8y/+CbH7FNp+1F48vfG3xEid/h94RljF1FlkOp3rjelqHXBCKuHnIO7aVUY37lAPpCf/gtf8X7m6bUNM+FmlLpEJ/eq9zdSuuemZ1CIv4x19bfs+/8ABYP4K/EzVLbwz8W9Hm+HOp3cixRXbzi80tixwvmThI3gyT1eMxqOWkAr9YdA8M+HPCuhWvhfwzpdtpWj2UYhgs7WFIbeOMDARY0AUDHYCvwq/wCCpP7BXg/SvB95+0n8F9Ih0WbSmDeIdNtI9kE8MrhftsUS/LG8bMPOCgKyEyHBVi4B+9kM0NzDHcW8iyxSqHR0IZWVhkEEcEEdDUtfzrf8Env22tR0bX7L9lv4nX8lzpWqsV8NXczljaXGM/YSWP8AqpcfuR/DJ8gBDjb/AEU0AFFFVb6+s9MsrjUtRnS2tLSN5ZpZGCpHHGCzMzHgBQCST0FAHOeOvHng74ZeFNR8c+PtWg0PQtJjMtzd3LbURegA6lmY4CooLMxCqCSBX4u/Fv8A4LYeDdH1aXS/gv4Dn8R2kWV/tHVbj7CjsOhjtkSSQoeoLvG3qor8zP2+f2ztc/as+J89toV3PbfDrw/K0Wj2RLItwVyrX00fGZZedgYZjjwvDFy37Rf8E6P2BPCfwV8C6R8Wvijo8OpfEjXIo7yEXUe8aLBKu6OGJH4W42nMsmNyk+WpADFwD450X/gtj8TtKvYx47+FOnzW0pDBbW7uLKTyieqmZJwx98AE+lfrP+zB+298C/2rbeW08BX8un+IrSIS3Oi6iqw3qJ0Mke1mSaMHgtGx25G8LuAP0H8R/hh8Pvi74WuvBfxL0C08RaNdjD293GHAPZ424aNx/C6FWU8gg1/JN+1t8AvGf7Cn7R1vF4H1i7tbMldX8NarExS4SDey+W7rgGWFgUfs6lWKgPtoA/sVor40/Yc/av0v9rP4NQeK5kSz8VaIyWOu2icKl0Fys8Q6iGdfmTP3SGTJ2ZP2XQAUUV8j/to/tTaJ+yf8Gb3xzOiXniHUWNjodk3Se9dSQ8gGD5MIG+Q5GQAgIZ1oAn/aa/bR+Bn7KdjAvxG1OS51y9jMtpo+noJ76ZBxvKllSKMngPIyhsHbuIIH5H69/wAFs/iLquoPb/D34U2MUYYlBeXk97K0YPUrAkO0kdeWAPc1+ZnwX+GfxR/bh/aOtvDup6xPf634lnkvdY1e6zMba0iwZp2HTCriOJBtXcUjG0EY/rz+CfwG+Fv7Pfgy28D/AAs0OHSbKFV86YKGuryVRgzXM2N0kjep4HRQqgAAH5DfCn/gtl4a1HV4tL+NHw/m0OzkwrahpFz9rEbZxl7WVY22DqSsjMOymv2l+HnxF8EfFfwhp/jz4d6xBrug6om+C6t2yp7FWBwyOp4ZGAZTkMAeK+Nv23v2FfAH7UXgfUtW0TTbXSfiXZQmTTtVjQRNcvGCRa3bLjzI5Puhmy0RwynG5W/nu/Yk/a48XfsdfF42+vfan8G6jcfZPEOktu3RFW2G5jiPS4gI5GAXUNGcZBUA/sPoqhpWqadrml2etaPcJeWGoQx3FvPGdySwyqHR1I6qykEH0q/QAUUUUAFFFFABRRRQAUUUUAFfCf7Un/BQr4Dfst3cvhjXLibxJ4xWMSDRtM2tJFvGU+1TMRHAGHODuk2kMIyCCeP/AOCjv7ZI/Zd+FqeH/B84/wCFheMY5YdMIw32G3XCzXrA8ZTdthB4MhzgqjCvwB/Yn/Ze8QftnfHOaw8SX1ydA04/2p4j1J3aS4kSSTiIStkme5fcAzEkAO/zFdpAPuzUP+C2PxY1O7aXwn8KtMhs4fnlSa7ubyQRj1kiSEL9SmPavffgr/wWj+GXijVI9G+NnhK48FrMyqmo2Mx1G0UnqZo9kc0aj1QSn2HWv17+H3w38CfCjwtaeCvhxodr4e0SxXbFbWkYRc92c/ed26s7ksx5JJr8wv8AgpD+wP4N+Kvw+1r40fC3RoNJ8f8Ah6GW/u1tIti6xaxKWmSSNODcqoLRyAbnI8ts5UoAfq7oOvaJ4p0Wy8R+G7+DVNK1KJJ7a6tpFlhmicZV0dSQykdCDWtX8q3/AATN/ba1H4BfEG1+Evj6/kl+Hfiy4SFPNclNJvpm2pcJk4WGRjtnHAHEnVSG/qpoAKKKKAM7V9Y0nw/pV3rmu3kOnadYRPPcXNxIsUMMUY3O7uxCqqgZJJwBX42fG/8A4LO/CjwfqcmifBXwvc+OmhZlk1C6mOm2Rx3hUxyTSjP95Ih3BIr4W/4Kf/tt6h8aPHl38EPhzqMkXgLwrO8F68LlU1bUIWw7vj78EDDbEPuswMnOU2/V/wDwS7/YG8KN4P079pP40aRDq9/rAE/h7TbuPfDa2yt8l7JG3yvLKRuhDAqiYcZZhsAPLLH/AILYfFyyuFvfEPwr0ubTJzmFYrq6tnZR1xM6yq31CfhX6a/ss/8ABRf4D/tQX9v4SsJJvCnjOZCy6RqRX9+yjLC0uFOybA52kJIQCfLwCR9ueJfCnhjxnoN14W8W6Ta6zo99GYp7O7hSaCRD2aNwVPtxx2r+VX/gox+x6v7JPxS0vxp8MnmtPBXiiV7jS9jv5ul3tuVd7YTZ3YXIkgctv25GSYyzAH9ZVFfmZ/wTU/bOl/aa+G83grx1cb/iF4LhiS8lY86jZn5Irwf9NARsn7byr8eYFH6Z0AFFFFABRRRQAUUUUAFFFFABXM+Nf+RN17/rwuv/AEU1dNXM+Nf+RN17/rwuv/RTUAfkD/wRK/5IV49/7GQf+kcNftJX4t/8ESv+SFePf+xkH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H+n/wDx+gD3WivCv+Go/wBmb/ornhD/AMH+n/8Ax+j/AIaj/Zm/6K54Q/8AB/p//wAfoA91orwr/hqP9mb/AKK54Q/8H+n/APx+j/hqP9mb/ornhD/wf6f/APH6APdaK8K/4aj/AGZv+iueEP8Awf6f/wDH6P8AhqP9mb/ornhD/wAH+n//AB+gD3WivCv+Go/2Zv8AornhD/wf6f8A/H6P+Go/2Zv+iueEP/B/p/8A8foA91orwr/hqP8AZm/6K54Q/wDB/p//AMfo/wCGo/2Zv+iueEP/AAf6f/8AH6APdaK8K/4aj/Zm/wCiueEP/B/p/wD8fo/4aj/Zm/6K54Q/8H+n/wDx+gD3WivCv+Go/wBmb/ornhD/AMH+n/8Ax+j/AIaj/Zm/6K54Q/8AB/p//wAfoA91orwr/hqP9mb/AKK54Q/8H+n/APx+j/hqP9mb/ornhD/wf6f/APH6APdaK8K/4aj/AGZv+iueEP8Awf6f/wDH6P8AhqP9mb/ornhD/wAH+n//AB+gD3WivCv+Go/2Zv8AornhD/wf6f8A/H6P+Go/2Zv+iueEP/B/p/8A8foA91orwr/hqP8AZm/6K54Q/wDB/p//AMfo/wCGo/2Zv+iueEP/AAf6f/8AH6APdaK8K/4aj/Zm/wCiueEP/B/p/wD8fo/4aj/Zm/6K54Q/8H+n/wDx+gD3WivCv+Go/wBmb/ornhD/AMH+n/8Ax+j/AIaj/Zm/6K54Q/8AB/p//wAfoA91orwr/hqP9mb/AKK54Q/8H+n/APx+j/hqP9mb/ornhD/wf6f/APH6APdaK8K/4aj/AGZv+iueEP8Awf6f/wDH6P8AhqP9mb/ornhD/wAH+n//AB+gD3WivCv+Go/2Zv8AornhD/wf6f8A/H6P+Go/2Zv+iueEP/B/p/8A8foA91orwr/hqP8AZm/6K54Q/wDB/p//AMfo/wCGo/2Zv+iueEP/AAf6f/8AH6APdaK8K/4aj/Zm/wCiueEP/B/p/wD8fo/4aj/Zm/6K54Q/8H+n/wDx+gD3WivCv+Go/wBmb/ornhD/AMH+n/8Ax+j/AIaj/Zm/6K54Q/8AB/p//wAfoA91orwr/hqP9mb/AKK54Q/8H+n/APx+j/hqP9mb/ornhD/wf6f/APH6APdaK8K/4aj/AGZv+iueEP8Awf6f/wDH6P8AhqP9mb/ornhD/wAH+n//AB+gD3WivCv+Go/2Zv8AornhD/wf6f8A/H6P+Go/2Zv+iueEP/B/p/8A8foA91orwr/hqP8AZm/6K54Q/wDB/p//AMfo/wCGo/2Zv+iueEP/AAf6f/8AH6APdaK8K/4aj/Zm/wCiueEP/B/p/wD8fo/4aj/Zm/6K54Q/8H+n/wDx+gD3WivCv+Go/wBmb/ornhD/AMH+n/8Ax+j/AIaj/Zm/6K54Q/8AB/p//wAfoA91orwr/hqP9mb/AKK54Q/8H+n/APx+j/hqP9mb/ornhD/wf6f/APH6APdaK8K/4aj/AGZv+iueEP8Awf6f/wDH6P8AhqP9mb/ornhD/wAH+n//AB+gD3WivCv+Go/2Zv8AornhD/wf6f8A/H6P+Go/2Zv+iueEP/B/p/8A8foA91orwr/hqP8AZm/6K54Q/wDB/p//AMfo/wCGo/2Zv+iueEP/AAf6f/8AH6APdaK8K/4aj/Zm/wCiueEP/B/p/wD8fo/4aj/Zm/6K54Q/8H+n/wDx+gD3WivCv+Go/wBmb/ornhD/AMH+n/8Ax+j/AIaj/Zm/6K54Q/8AB/p//wAfoA91orwr/hqP9mb/AKK54Q/8H+n/APx+j/hqP9mb/ornhD/wf6f/APH6APdaK8K/4aj/AGZv+iueEP8Awf6f/wDH6P8AhqP9mb/ornhD/wAH+n//AB+gD3WivCv+Go/2Zv8AornhD/wf6f8A/H6P+Go/2Zv+iueEP/B/p/8A8foA91orwr/hqP8AZm/6K54Q/wDB/p//AMfo/wCGo/2Zv+iueEP/AAf6f/8AH6APdaK8K/4aj/Zm/wCiueEP/B/p/wD8fo/4aj/Zm/6K54Q/8H+n/wDx+gD3WivCv+Go/wBmb/ornhD/AMH+n/8Ax+j/AIaj/Zm/6K54Q/8AB/p//wAfoA91orwr/hqP9mb/AKK54Q/8H+n/APx+j/hqP9mb/ornhD/wf6f/APH6APdaK8K/4aj/AGZv+iueEP8Awf6f/wDH6P8AhqP9mb/ornhD/wAH+n//AB+gD3WivCv+Go/2Zv8AornhD/wf6f8A/H6P+Go/2Zv+iueEP/B/p/8A8foA91orwr/hqP8AZm/6K54Q/wDB/p//AMfo/wCGo/2Zv+iueEP/AAf6f/8AH6APdaK8K/4aj/Zm/wCiueEP/B/p/wD8fo/4aj/Zm/6K54Q/8H+n/wDx+gD3WivCv+Go/wBmb/ornhD/AMH+n/8Ax+j/AIaj/Zm/6K54Q/8AB/p//wAfoA91orwr/hqP9mb/AKK54Q/8H+n/APx+j/hqP9mb/ornhD/wf6f/APH6APdaK8K/4aj/AGZv+iueEP8Awf6f/wDH6P8AhqP9mb/ornhD/wAH+n//AB+gD3WivCv+Go/2Zv8AornhD/wf6f8A/H6P+Go/2Zv+iueEP/B/p/8A8foA91orwr/hqP8AZm/6K54Q/wDB/p//AMfo/wCGo/2Zv+iueEP/AAf6f/8AH6APdaK8K/4aj/Zm/wCiueEP/B/p/wD8fo/4aj/Zm/6K54Q/8H+n/wDx+gD3WivCv+Go/wBmb/ornhD/AMH+n/8Ax+j/AIaj/Zm/6K54Q/8AB/p//wAfoA91orwr/hqP9mb/AKK54Q/8H+n/APx+j/hqP9mb/ornhD/wf6f/APH6APdaK8K/4aj/AGZv+iueEP8Awf6f/wDH6P8AhqP9mb/ornhD/wAH+n//AB+gD3WivCv+Go/2Zv8AornhD/wf6f8A/H6P+Go/2Zv+iueEP/B/p/8A8foA91orwr/hqP8AZm/6K54Q/wDB/p//AMfo/wCGo/2Zv+iueEP/AAf6f/8AH6APdaK8K/4aj/Zm/wCiueEP/B/p/wD8fo/4aj/Zm/6K54Q/8H+n/wDx+gD3WivCv+Go/wBmb/ornhD/AMH+n/8Ax+j/AIaj/Zm/6K54Q/8AB/p//wAfoA91orwr/hqP9mb/AKK54Q/8H+n/APx+j/hqP9mb/ornhD/wf6f/APH6APdaK8K/4aj/AGZv+iueEP8Awf6f/wDH6P8AhqP9mb/ornhD/wAH+n//AB+gD3WivCv+Go/2Zv8AornhD/wf6f8A/H6P+Go/2Zv+iueEP/B/p/8A8foA91orwr/hqP8AZm/6K54Q/wDB/p//AMfo/wCGo/2Zv+iueEP/AAf6f/8AH6APdaK8K/4aj/Zm/wCiueEP/B/p/wD8fo/4aj/Zm/6K54Q/8H+n/wDx+gD3WivCv+Go/wBmb/ornhD/AMH+n/8Ax+j/AIaj/Zm/6K54Q/8AB/p//wAfoA91orwr/hqP9mb/AKK54Q/8H+n/APx+j/hqP9mb/ornhD/wf6f/APH6APdaK8K/4aj/AGZv+iueEP8Awf6f/wDH6P8AhqP9mb/ornhD/wAH+n//AB+gD3WivCv+Go/2Zv8AornhD/wf6f8A/H6P+Go/2Zv+iueEP/B/p/8A8foA91orwr/hqP8AZm/6K54Q/wDB/p//AMfo/wCGo/2Zv+iueEP/AAf6f/8AH6APdaK8K/4aj/Zm/wCiueEP/B/p/wD8fo/4aj/Zm/6K54Q/8H+n/wDx+gD3WivCv+Go/wBmb/ornhD/AMH+n/8Ax+j/AIaj/Zm/6K54Q/8AB/p//wAfoA91orwr/hqP9mb/AKK54Q/8H+n/APx+j/hqP9mb/ornhD/wf6f/APH6APdaK8K/4aj/AGZv+iueEP8Awf6f/wDH6P8AhqP9mb/ornhD/wAH+n//AB+gD3WivCv+Go/2Zv8AornhD/wf6f8A/H6P+Go/2Zv+iueEP/B/p/8A8foA91orwr/hqP8AZm/6K54Q/wDB/p//AMfo/wCGo/2Zv+iueEP/AAf6f/8AH6APdaK8K/4aj/Zm/wCiueEP/B/p/wD8fo/4aj/Zm/6K54Q/8H+n/wDx+gD3WivCv+Go/wBmb/ornhD/AMH+n/8Ax+j/AIaj/Zm/6K54Q/8AB/p//wAfoA91orwr/hqP9mb/AKK54Q/8H+n/APx+j/hqP9mb/ornhD/wf6f/APH6APdaK8K/4aj/AGZv+iueEP8Awf6f/wDH6P8AhqP9mb/ornhD/wAH+n//AB+gD3WivCv+Go/2Zv8AornhD/wf6f8A/H6P+Go/2Zv+iueEP/B/p/8A8foA91orwr/hqP8AZm/6K54Q/wDB/p//AMfo/wCGo/2Zv+iueEP/AAf6f/8AH6APdaK8K/4aj/Zm/wCiueEP/B/p/wD8fo/4aj/Zm/6K54Q/8H+n/wDx+gD3WivCv+Go/wBmb/ornhD/AMH+n/8Ax+j/AIaj/Zm/6K54Q/8AB/p//wAfoA91orwr/hqP9mb/AKK54Q/8H+n/APx+j/hqP9mb/ornhD/wf6f/APH6APdaK8K/4aj/AGZv+iueEP8Awf6f/wDH6P8AhqP9mb/ornhD/wAH+n//AB+gD3WuZ8a/8ibr3/Xhdf8Aopq8w/4aj/Zm/wCiueEP/B/p/wD8frn/ABZ+01+zdeeFtZtLT4r+E5557K4SONNdsGd3aNgqqomySTwAOtAH54f8ESv+SFePf+xkH/pHDX7SV+Dn/BIH4r/C34Z/BXxpYfEjxjo3hS5vfEHmwRatqFtYySxraQqWRZ5ELKDwSMjNfrd/w1H+zN/0Vzwh/wCD/T//AI/QB7rRXhX/AA1H+zN/0Vzwh/4P9P8A/j9H/DUf7M3/AEVzwh/4P9P/APj9AHutFeFf8NR/szf9Fc8If+D/AE//AOP0f8NR/szf9Fc8If8Ag/0//wCP0Ae60V4V/wANR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object>"]},"execution_count":14,"metadata":{"image/jpeg":{"height":1000,"width":1000}},"output_type":"execute_result"}],"source":["from IPython.display import Image\n","\n","Image(filename=\"images/BYD.jpg\", height=1000, width=1000)"]},{"cell_type":"markdown","id":"20d13476-512b-464e-9d7b-d3c1d9946eae","metadata":{},"source":["### 3.2、使用 Unstructured API 提取 PDF 文档中的表格"]},{"cell_type":"markdown","id":"12bf6ef4-0dbd-40ea-908b-6e1ebe6a8edc","metadata":{},"source":["我们先来直接使用和前面的代码来提取和展示提取的表格。"]},{"cell_type":"code","execution_count":15,"id":"e97a75fb-e47e-4715-bb4d-29b4b73d5c7c","metadata":{},"outputs":[{"data":{"text/html":["<table><thead><tr><th></th><th>2023 4</th><th>2022 4F</th><th>AL AR</th><th>2021 4</th></tr></thead><tbody><tr><td>EN G</td><td>602, 315, 354, 000. 00</td><td>424, 060, 635, 000. 00</td><td>42. 04%</td><td>216, 142, 395, 000. 00</td></tr><tr><td>VAR T i 2 A AR R (e</td><td>30, 040, 811, 000. 00</td><td>16, 622, 448, 000. 00</td><td>80 2%</td><td>3, 045, 188, 000. 00</td></tr><tr><td>VR i 28 ) JBE AR R TR AR £ A A PRl (6</td><td>28, 462, 432, 000. 00</td><td>15, 637, 792, 000. 00</td><td>82 01%</td><td>1, 254, 619, 000. 00</td></tr><tr><td>ZE R RIS TR O</td><td>169, 725, 025, 000. 00</td><td>140, 837, 657, 000. 00</td><td>20 51</td><td>65, 466, 682, 000. 00</td></tr><tr><td>AR e/</td><td>10. 32</td><td>5.71</td><td>80 74</td><td>06</td></tr><tr><td>TRERE et (T6/M</td><td>10. 32</td><td>5.71</td><td>80 74</td><td>06</td></tr><tr><td rowspan=\"2\">加权平均净资产收益率 \n"," B 7 Wi</td><td>24. 40%</td><td>16. 14%</td><td>8 26%</td><td>3.73</td></tr><tr><td>2023 K</td><td>2022 4ER</td><td>AR EER R</td><td>2021 4ER</td></tr><tr><td>BB (</td><td>679, 547, 670, 000. 00</td><td>493, 860, 646, 000. 00</td><td>37.60%</td><td>295, 780, 147, 000. 00</td></tr><tr><td>N VA = i: Al Ji% JiERER Vi B</td><td>138, 810, 065, 000. 00</td><td>111, 029, 299, 000. 00</td><td>25. 02%</td><td>95, 069, 671, 000. 00</td></tr></tbody></table>"],"text/plain":["<IPython.core.display.HTML object>"]},"execution_count":15,"metadata":{},"output_type":"execute_result"}],"source":["filename = \"example_files/BYD.pdf\"\n","with open(filename, \"rb\") as f:\n","    content = f.read()\n","files = shared.Files(content=content, file_name=filename)\n","\n","s = UnstructuredClient(api_key_auth=DLAI_API_KEY)\n","req = shared.PartitionParameters(\n","    files=files,\n","    strategy=\"hi_res\",\n","    hi_res_model_name=\"yolox\",\n","    skip_infer_table_types=[],\n","    pdf_infer_table_structure=True,\n",")\n","\n","\n","try:\n","    resp = s.general.partition(req)\n","    elements = dict_to_elements(resp.elements)\n","\n","except SDKError as e:\n","    print(e)\n","\n","tables = [el for el in elements if el.category == \"Table\"]\n","table_html = tables[0].metadata.text_as_html\n","HTML(table_html)"]},{"cell_type":"code","execution_count":16,"id":"905b304d-2011-4dc3-b55a-254d5e19e8de","metadata":{},"outputs":[{"data":{"text/plain":["'2023 年 2022 年 本年比上年增减 2021 年 营业收入（元） 602,315,354,000.00 424,060,635,000.00 42.04% 216,142,395,000.00 归属于上市公司股东的净利润（元） 30,040,811,000.00 16,622,448,000.00 80.72% 3,045,188,000.00 归属于上市公司股东的扣除非经常性损益 的净利润（元） 28,462,432,000.00 15,637,792,000.00 82.01% 1,254,619,000.00 经营活动产生的现金流量净额（元） 169,725,025,000.00 140,837,657,000.00 20.51% 65,466,682,000.00 基本每股收益（元/股） 10.32 5.71 80.74% 1.06 稀释每股收益（元/股） 10.32 5.71 80.74% 1.06 加权平均净资产收益率 24.40% 16.14% 8.26% 3.73% 2023 年末 2022 年末 本年末比上年末 增减 2021 年末 总资产（元） 679,547,670,000.00 493,860,646,000.00 37.60% 295,780,147,000.00 归属于上市公司股东的净资产（元） 138,810,065,000.00 111,029,299,000.00 25.02% 95,069,671,000.00'"]},"execution_count":16,"metadata":{},"output_type":"execute_result"}],"source":["tables[0].text"]},{"cell_type":"markdown","id":"20bd87c4-54bb-4281-bd49-cf5f8bc6593c","metadata":{},"source":["<br>\n","\n","HTML 的表格正确地提取了表格的结构，中文的文本却有一部分变成了乱码。与此同时，表格的文本 `tables[0].text` 也被正确识别。\n","\n","根据 [Unstructured AI 的文档](https://github.com/Unstructured-IO/unstructured-python-client/blob/main/docs/models/shared/partitionparameters.md)，其后端使用 Tesseract OCR 来识别表格的结构，接下来我们将语言设置为 chi_sim（简体中文）。更详细的语言列表可以查看 [这里](https://tesseract-ocr.github.io/tessdoc/Data-Files-in-different-versions.html)。\n","\n","<br>"]},{"cell_type":"code","execution_count":17,"id":"666537c4-acd1-47a5-8467-b4dc98a4ff18","metadata":{},"outputs":[{"data":{"text/html":["<table><thead><tr><th></th><th>2023 年</th><th>2022 年</th><th>本 年 比 上 年 增 减</th><th>2021 年</th></tr></thead><tbody><tr><td>营 业 收 入 ( 元 )</td><td>602,315,354, 000.00</td><td>424 060, 635, 000.00</td><td>42.048</td><td>216, 142,395,000.00</td></tr><tr><td>归 属 于 上 市 公 司 股 东 的 浑 利 涧 ( 元 )</td><td>30, 040,811, 000.00</td><td>16, 622,448, 000. 00</td><td>80 72%</td><td>3, 045, 188,000. 00</td></tr><tr><td>归 属 于 上 市 公 司 股 东 的 扣 除 非 经 常 性 损 盐 的 浑 利 润 ( 元 )</td><td>28, 462,432, 000.00</td><td>15, 637, 792, 000. 00</td><td>82 018%</td><td>1 254, 619,000.00</td></tr><tr><td>经 营 活 动 产 生 的 现 金 流 量 净 额 ( 元 )</td><td>169,725,025, 000.00</td><td>140, 837, 657, 000.00</td><td>20 51%</td><td>65, 466, 682, 000.00</td></tr><tr><td>基 本 每 股 收 益 ( 元 / 股 》</td><td>10.32</td><td>5. 71</td><td>80 74</td><td>1.06</td></tr><tr><td>稀 释 每 股 收 盐 ( 元 / 股 》</td><td>10.32</td><td>5. 71</td><td>80 74</td><td>1.06</td></tr><tr><td rowspan=\"2\">加 权 平 均 浑 资 产 收 盐 率</td><td>24. 40%</td><td>16. 14%</td><td>8 26%</td><td>3. 73%</td></tr><tr><td>2023 年 未</td><td>2022 年 末</td><td>本 年 未 比 上 年 末 增 湘</td><td>2021 年 末</td></tr><tr><td>总 资 产 ( 元 )</td><td>679, 547, 670, 000.00</td><td>493,860, 646, 000.00</td><td>37. 60%</td><td>295,780, 147, 000.00</td></tr><tr><td>归 属 于 上 市 公 司 股 东 的 浑 资 产 〔 元 )</td><td>138, 810,065, 000.00</td><td>111,029, 299, 000.00</td><td>25, 02%</td><td>95, 069, 671 000.00</td></tr></tbody></table>"],"text/plain":["<IPython.core.display.HTML object>"]},"execution_count":17,"metadata":{},"output_type":"execute_result"}],"source":["filename = \"example_files/BYD.pdf\"\n","with open(filename, \"rb\") as f:\n","    content = f.read()\n","files = shared.Files(content=content, file_name=filename)\n","\n","s = UnstructuredClient(api_key_auth=DLAI_API_KEY)\n","req = shared.PartitionParameters(\n","    files=files,\n","    strategy=\"hi_res\",\n","    hi_res_model_name=\"yolox\",\n","    languages=[\"chi_sim\"],  # 将语言,\n","    skip_infer_table_types=[],\n","    pdf_infer_table_structure=True,  # 需要要提取表格信息\n",")\n","\n","\n","try:\n","    resp = s.general.partition(req)\n","    elements = dict_to_elements(resp.elements)\n","\n","except SDKError as e:\n","    print(e)\n","\n","# 提取类型为表格的元素\n","tables = [el for el in elements if el.category == \"Table\"]\n","table_html = tables[0].metadata.text_as_html\n","HTML(table_html)"]},{"cell_type":"code","execution_count":18,"id":"2a21946f-7a7b-49af-9d63-1898367c32bb","metadata":{},"outputs":[{"data":{"text/plain":["'2023 年 2022 年 本年比上年增减 2021 年 营业收入（元） 602,315,354,000.00 424,060,635,000.00 42.04% 216,142,395,000.00 归属于上市公司股东的净利润（元） 30,040,811,000.00 16,622,448,000.00 80.72% 3,045,188,000.00 归属于上市公司股东的扣除非经常性损益 的净利润（元） 28,462,432,000.00 15,637,792,000.00 82.01% 1,254,619,000.00 经营活动产生的现金流量净额（元） 169,725,025,000.00 140,837,657,000.00 20.51% 65,466,682,000.00 基本每股收益（元/股） 10.32 5.71 80.74% 1.06 稀释每股收益（元/股） 10.32 5.71 80.74% 1.06 加权平均净资产收益率 24.40% 16.14% 8.26% 3.73% 2023 年末 2022 年末 本年末比上年末 增减 2021 年末 总资产（元） 679,547,670,000.00 493,860,646,000.00 37.60% 295,780,147,000.00 归属于上市公司股东的净资产（元） 138,810,065,000.00 111,029,299,000.00 25.02% 95,069,671,000.00'"]},"execution_count":18,"metadata":{},"output_type":"execute_result"}],"source":["tables[0].text"]},{"cell_type":"markdown","id":"4e845e63-d251-4b6d-9c5c-ad8a2daef0cd","metadata":{},"source":["<br>\n","\n","相比前面没有添加语言，中文文本被更多更准确地提取。但是一部分内容仍有问题，比如\n","- `净利润` 被识别为 `浑 利 涧`\n","- `收益` 被识别为 `收 盐`\n","\n","与前面一样，表格的文本 `tables[0].text` 同样被正确地提取。\n","\n","<br>"]},{"cell_type":"markdown","id":"74cab79e-8f0d-46fa-8988-5d0928f59129","metadata":{},"source":["### 3.3、对提取的表格进行概述"]},{"cell_type":"markdown","id":"f39661d8-7980-4767-8552-b04d1a7b6a98","metadata":{},"source":["我们对刚刚提取的有错别字的 HTML 格式的表格进行概述。"]},{"cell_type":"code","execution_count":19,"id":"04b60a1c-0756-48a4-8cb1-7066b72b3001","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["\n","该表格总结了某公司2023年、2022年和2021年的财务数据。其中包括营业收入、归属于上市公司股东的利润、经营活动产生的现金流量净额、基本每股收益、加权平均净资产收益率等指标。从表格中可以看出，公司在2023年的各项指标均有较大幅度的增长，表现出良好的财务状况和发展态势。\n","\n"]}],"source":["from langchain_openai import ChatOpenAI\n","from langchain_core.documents import Document\n","from langchain.chains.summarize import load_summarize_chain\n","from langchain import PromptTemplate\n","\n","# 初始化OpenAI模型\n","llm = ChatOpenAI(temperature=0, model_name=\"gpt-3.5-turbo-1106\")\n","\n","# 创建自定义的提示模q用于将内容总结为中文\n","map_prompt = \"请用中文总结以下表格的内容：```{text}```\"\n","map_prompt_template = PromptTemplate(template=map_prompt, input_variables=[\"text\"])\n","\n","# 将HTML内容包装到一个Document对象中\n","document = Document(page_content=table_html)\n","\n","# 加载摘要链，并指定使用自定义的提示模板\n","chain = load_summarize_chain(llm, prompt=map_prompt_template)\n","\n","# 调用链来处理文档内容并生成总结\n","summary = chain.invoke([document])\n","# 打印总结结果\n","print()\n","print(summary[\"output_text\"])\n","print()"]},{"cell_type":"markdown","id":"e541977a-65cb-4369-b87e-35ef2e61cda0","metadata":{},"source":["<br>\n","\n","可以看到即便表格存在错别字，总结仍然是正确的。\n","\n","同样我们也可以直接对表格的文本进行总结。\n","\n","\n","<br>"]},{"cell_type":"code","execution_count":20,"id":"48d4ce54-4b85-4687-b369-fd97aab9e4d9","metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["\n","2023年，公司的营业收入、归属于上市公司股东的净利润、归属于上市公司股东的扣除非经常性损益的净利润、经营活动产生的现金流量净额、基本每股收益、稀释每股收益、加权平均净资产收益率、总资产和归属于上市公司股东的净资产均比2022年有显著增长，增幅分别为42.04%、80.72%、82.01%、20.51%、80.74%、80.74%、8.26%、37.60%和25.02%。\n","\n"]}],"source":["# 将HTML内容包装到一个Document对象中\n","document = Document(page_content=tables[0].text)\n","\n","# 加载摘要链，并指定使用自定义的提示模板\n","chain = load_summarize_chain(llm, prompt=map_prompt_template)\n","\n","# 调用链来处理文档内容并生成总结\n","summary = chain.invoke([document])\n","# 打印总结结果\n","print()\n","print(summary[\"output_text\"])\n","print()"]},{"cell_type":"markdown","id":"52e80706-6992-419d-91eb-680f2664674c","metadata":{},"source":["<br>\n","\n","\n","但如果你的目标是提取没有错别字的表格，我们也可以通过下面的方式来对表格中的错别字进行纠正。 \n","\n","\n","<br>"]},{"cell_type":"code","execution_count":21,"id":"a95e6a77-ba6e-487a-b424-5fe943e34b51","metadata":{},"outputs":[{"data":{"text/html":["<table>\n","  <thead>\n","    <tr>\n","      <th>指标</th>\n","      <th>2023年</th>\n","      <th>2022年</th>\n","      <th>本年比上年增减</th>\n","      <th>2021年</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <td>营业收入（元）</td>\n","      <td>602,315,354,000.00</td>\n","      <td>424,060,635,000.00</td>\n","      <td>42.04%</td>\n","      <td>216,142,395,000.00</td>\n","    </tr>\n","    <tr>\n","      <td>归属于上市公司股东的净利润（元）</td>\n","      <td>30,040,811,000.00</td>\n","      <td>16,622,448,000.00</td>\n","      <td>80.72%</td>\n","      <td>3,045,188,000.00</td>\n","    </tr>\n","    <tr>\n","      <td>归属于上市公司股东的扣除非经常性损益的净利润（元）</td>\n","      <td>28,462,432,000.00</td>\n","      <td>15,637,792,000.00</td>\n","      <td>82.01%</td>\n","      <td>1,254,619,000.00</td>\n","    </tr>\n","    <tr>\n","      <td>经营活动产生的现金流量净额（元）</td>\n","      <td>169,725,025,000.00</td>\n","      <td>140,837,657,000.00</td>\n","      <td>20.51%</td>\n","      <td>65,466,682,000.00</td>\n","    </tr>\n","    <tr>\n","      <td>基本每股收益（元/股）</td>\n","      <td>10.32</td>\n","      <td>5.71</td>\n","      <td>80.74%</td>\n","      <td>1.06</td>\n","    </tr>\n","    <tr>\n","      <td>稀释每股收益（元/股）</td>\n","      <td>10.32</td>\n","      <td>5.71</td>\n","      <td>80.74%</td>\n","      <td>1.06</td>\n","    </tr>\n","    <tr>\n","      <td rowspan=\"2\">加权平均净资产收益率</td>\n","      <td>24.40%</td>\n","      <td>16.14%</td>\n","      <td>8.26%</td>\n","      <td>3.73%</td>\n","    </tr>\n","    <tr>\n","      <td>2023年末</td>\n","      <td>2022年末</td>\n","      <td>本年末比上年末增减</td>\n","      <td>2021年末</td>\n","    </tr>\n","    <tr>\n","      <td>总资产（元）</td>\n","      <td>679,547,670,000.00</td>\n","      <td>493,860,646,000.00</td>\n","      <td>37.60%</td>\n","      <td>295,780,147,000.00</td>\n","    </tr>\n","    <tr>\n","      <td>归属于上市公司股东的净资产（元）</td>\n","      <td>138,810,065,000.00</td>\n","      <td>111,029,299,000.00</td>\n","      <td>25.02%</td>\n","      <td>95,069,671,000.00</td>\n","    </tr>\n","  </tbody>\n","</table>"],"text/plain":["<IPython.core.display.HTML object>"]},"execution_count":21,"metadata":{},"output_type":"execute_result"}],"source":["import os\n","from openai import OpenAI\n","\n","client = OpenAI()\n","prompt = f\"以下为一个html格式的表格:\\n\\n{table_html}，请基于{tables[0].text}中的内容, 来检查错别字，并进行纠正\"\n","\n","chat_completion = client.chat.completions.create(\n","    messages=[\n","        {\n","            \"role\": \"user\",\n","            \"content\": prompt,\n","        }\n","    ],\n","    model=\"gpt-3.5-turbo-1106\",\n",")\n","HTML(chat_completion.choices[0].message.content)"]},{"cell_type":"markdown","id":"9475cd8e-57d2-4225-b546-ccfdf23968c3","metadata":{},"source":["## 四、总结\n","***\n","本章详细介绍了从 PDF 文档中提取表格的步骤和方法，并通过具体的代码示例和中文示例进行展示和说明。"]}],"metadata":{"kernelspec":{"display_name":"llm","language":"python","name":"llm"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.10.14"}},"nbformat":4,"nbformat_minor":5}
diff --git "a/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/7.\345\273\272\347\253\213\344\270\200\344\270\252\350\207\252\345\267\261\347\232\204 RAG \346\234\272\345\231\250\344\272\272 Build Your Own RAG Bot.ipynb" "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/7.\345\273\272\347\253\213\344\270\200\344\270\252\350\207\252\345\267\261\347\232\204 RAG \346\234\272\345\231\250\344\272\272 Build Your Own RAG Bot.ipynb"
new file mode 100644
index 00000000..41e0369a
--- /dev/null
+++ "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/7.\345\273\272\347\253\213\344\270\200\344\270\252\350\207\252\345\267\261\347\232\204 RAG \346\234\272\345\231\250\344\272\272 Build Your Own RAG Bot.ipynb"	
@@ -0,0 +1,1063 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "a77e4616-c43b-42d4-88bf-40eeaab5e6cf",
+   "metadata": {},
+   "source": [
+    "# 第七章 建立一个自己的RAG机器人"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4dd38376",
+   "metadata": {},
+   "source": [
+    "\n",
+    "<div class=\"toc\">\n",
+    "    <ul class=\"toc-item\">\n",
+    "        <li><span><a href=\"#第七章-建立一个自己的rag机器人\" data-toc-modified-id=\"第七章、建立一个自己的RAG机器人\">第七章、建立一个自己的 RAG 机器人</a></span></li>\n",
+    "        <li><span><a href=\"#一引言\" data-toc-modified-id=\"一、引言\">一、引言</a></span></li>\n",
+    "        <li><span><a href=\"#二处理内容展示\" data-toc-modified-id=\"二、处理内容展示\">二、处理内容展示</a></span>\n",
+    "            <ul class=\"toc-item\">\n",
+    "                <li><span><a href=\"#21-项目论文展示\" data-toc-modified-id=\"2.1 项目论文展示\">2.1 项目论文展示</a></span></li>\n",
+    "                <li><span><a href=\"#22-PPT页面展示\" data-toc-modified-id=\"2.2 PPT页面展示\">2.2 PPT 页面展示</a></span></li>\n",
+    "                <li><span><a href=\"#23-项目github-readme展示\" data-toc-modified-id=\"2.3 项目github readme展示\">2.3 项目 github readme 展示</a></span></li>\n",
+    "            </ul>\n",
+    "        </li>\n",
+    "        <li><span><a href=\"#三PDF文档meta元素制作\" data-toc-modified-id=\"三、PDF文档meta元素制作\">三、PDF 文档 meta 元素制作</a></span></li>\n",
+    "        <li><span><a href=\"#四PDF过滤和合并语料库\" data-toc-modified-id=\"四、PDF过滤和合并语料库\">四、PDF 过滤和合并语料库</a></span>\n",
+    "            <ul class=\"toc-item\">\n",
+    "                <li><span><a href=\"#41-过滤引用部分\" data-toc-modified-id=\"4.1 过滤引用部分\">4.1 过滤引用部分</a></span></li>\n",
+    "                <li><span><a href=\"#42-过滤标题\" data-toc-modified-id=\"4.2 过滤标题\">4.2 过滤标题</a></span></li>\n",
+    "            </ul>\n",
+    "        </li>\n",
+    "        <li><span><a href=\"#五处理其他文件\" data-toc-modified-id=\"五、处理其他文件\">五、处理其他文件</a></span>\n",
+    "            <ul class=\"toc-item\">\n",
+    "                <li><span><a href=\"#51-处理ppt\" data-toc-modified-id=\"5.1 处理ppt\">5.1 处理 ppt</a></span></li>\n",
+    "                <li><span><a href=\"#52-处理readme文件\" data-toc-modified-id=\"5.2 处理readme文件\">5.2 处理 readme 文件</a></span></li>\n",
+    "            </ul>\n",
+    "        </li>\n",
+    "        <li><span><a href=\"#六搭建文件处理机器人\" data-toc-modified-id=\"六、搭建文件处理机器人\">六、搭建文件处理机器人</a></span>\n",
+    "            <ul class=\"toc-item\">\n",
+    "                <li><span><a href=\"#61数据准备\" data-toc-modified-id=\"6.1数据准备\">6.1 数据准备</a></span></li>\n",
+    "                <li><span><a href=\"#62-向量数据库准备\" data-toc-modified-id=\"6.2 向量数据库准备\">6.2 向量数据库准备</a></span></li>\n",
+    "                <li><span><a href=\"#63多文档查询RAGbot-搭建\" data-toc-modified-id=\"6.3多文档查询RAGbot 搭建\">6.3 多文档查询 RAGbot 搭建</a></span></li>\n",
+    "                <li><span><a href=\"#64-指定文档查询\" data-toc-modified-id=\"6.4 指定文档查询\">6.4 指定文档查询</a></span></li>\n",
+    "            </ul>\n",
+    "        </li>\n",
+    "    </ul>\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c64d3c89",
+   "metadata": {},
+   "source": [
+    "## 一、引言\n",
+    "本次课程介绍了如何整合 PDF、PowerPoint 和 Markdown 文档，构建一个 Ragbot，并使用语料库进行对话。视频内容包括文档预处理、元数据过滤、文档加载到向量数据库、嵌入文档、设置检索器和提示模板，以及与 LLM 进行对话等步骤。通过视频，观众可以学习如何构建自己的 Ragbot，并对文档进行查询和交互。\n",
+    "1. 构建 Ragbot 并处理文档\n",
+    "\n",
+    "这节课将教大家如何整合先前学到的技巧，构建一个 Ragbot，使用包含 PDF、PowerPoint 和 Markdown 文档的语料库。我们预处理所有文档类型，并将它们加载到向量数据库中，查询数据库并将结果插入提示中，传递给 LLM 进行对话。我们可以导入辅助函数，预处理PDF并过滤掉不需要的内容。最终我们可以查询表格和元数据对象的文本。\n",
+    "\n",
+    "2. 过滤和合并语料库\n",
+    "\n",
+    "本章节介绍如何通过父 ID 元数据字段找到参考文献部分的元素，并过滤掉页眉信息，最终预处理幻灯片和 Markdown 文件后合并为单个语料库，并在向量数据库中搜索特定文件类型的内容。\n",
+    "\n",
+    "3. 加载文档并进行搜索\n",
+    "\n",
+    "本章节介绍了如何使用 LangChain 的 Karama 数据库对象上的 FromDocuments 方法加载文档，并将它们嵌入到 Chroma 向量数据库中。然后设置检索器进行搜索，以及设置提示模板，最后可以进行对话查询和混合搜索，从而实现对文档的分类和信息提取。"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0b89853c",
+   "metadata": {},
+   "source": [
+    "- 注意咯~本节内容是本次学习最难也应用性最强的小节，如果觉得困难请再学学前面的内容补补课~如果你是大佬觉得本节内容学完没压力，那么恭喜你已经完全掌握了非结构数据的处理思路。"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "dc2f9ec6-b56b-444c-9d9f-6f0b39973450",
+   "metadata": {},
+   "source": [
+    "<p style=\"background-color:#fff6e4; padding:15px; border-width:3px; border-color:#f5ecda; border-style:solid; border-radius:6px\"> ⏳ <b>Note <code>(Kernel Starting)</code>:</b> 你可以一边调用本笔记实验，一边看视频学习知识。</p>\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "30697566-ee92-47f1-a8eb-c17848e9a03b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 警告控制\n",
+    "import warnings\n",
+    "warnings.filterwarnings('ignore')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "916a2cac-7bc8-4cd8-ae26-3d1076e8384b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 安装依赖\n",
+    "from unstructured_client import UnstructuredClient\n",
+    "from unstructured_client.models import shared\n",
+    "from unstructured_client.models.errors import SDKError\n",
+    "\n",
+    "from unstructured.chunking.title import chunk_by_title\n",
+    "from unstructured.partition.md import partition_md\n",
+    "from unstructured.partition.pptx import partition_pptx\n",
+    "from unstructured.staging.base import dict_to_elements\n",
+    "\n",
+    "import chromadb"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5e7b106a-5144-4a33-9a85-6a2c2f9faa36",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 配置 API key 和 URL\n",
+    "\n",
+    "# 到这里申请非结构化处理库的 api：   https://app.unstructured.io/keys\n",
+    "\n",
+    "\n",
+    "DLAI_API_KEY = \"\"\n",
+    "DLAI_API_URL = \"https://api.unstructuredapp.io\"\n",
+    "\n",
+    "# 启动服务器\n",
+    "s = UnstructuredClient(\n",
+    "    api_key_auth=DLAI_API_KEY,\n",
+    "    server_url=DLAI_API_URL,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ed7e6155-d37d-4fcf-8413-c676c947ad51",
+   "metadata": {},
+   "source": [
+    "## 二、处理内容展示"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4d8f515b",
+   "metadata": {},
+   "source": [
+    "这里是处理内容展示，项目是 Donut 模型，模型是对文档做 OCR 的一个项目。关联的数据包括论文、演讲 PPT 以及 Github 项目的 md 文档。\n",
+    "\n",
+    "\n",
+    "### 2.1 项目论文展示"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 76,
+   "id": "1ee41a37-61ac-468c-9d47-dab2e671f85b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<IPython.core.display.Image object>"
+      ]
+     },
+     "execution_count": 76,
+     "metadata": {
+      "image/png": {
+       "height": 400,
+       "width": 400
+      }
+     },
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from IPython.display import Image\n",
+    "Image(filename='images/7-1.png', height=400, width=400)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "68ba97be",
+   "metadata": {},
+   "source": [
+    "### 2.2 PPT 页面展示"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 77,
+   "id": "76538d6f-bcdb-4bd7-a006-056a86bd1f11",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<IPython.core.display.Image object>"
+      ]
+     },
+     "execution_count": 77,
+     "metadata": {
+      "image/png": {
+       "height": 400,
+       "width": 400
+      }
+     },
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "Image(filename='images/7-2.png', height=400, width=400) "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3378a14e",
+   "metadata": {},
+   "source": [
+    "### 2.3 项目 github readme 展示"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "e626fd92-71e8-4af2-ae7b-4d22939945b8",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<IPython.core.display.Image object>"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {
+      "image/png": {
+       "height": 600,
+       "width": 600
+      }
+     },
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "Image(filename='images/7-3.png', height=600, width=600) "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "76132dfe-7360-4147-a5b1-0e571917e08b",
+   "metadata": {},
+   "source": [
+    "## 三、PDF 文档 meta 元素制作"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7d647641-fab0-4316-b4f3-bfee065b1273",
+   "metadata": {},
+   "source": [
+    "<p style=\"background-color:#fff6e4; padding:15px; border-width:3px; border-color:#f5ecda; border-style:solid; border-radius:6px\"> ⏳ <b>处理PDF文档需要花费一定的时间（3分钟左右），请耐心等待。</p>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9b75d977-7d80-427d-9b24-4fcf1384fc7f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "filename = \"example_files/donut_paper.pdf\"\n",
+    "\n",
+    "with open(filename, \"rb\") as f:\n",
+    "    # 将文件导入到共享存储中，也就是 unstructured_client 的 shared 中，以 file 类存储\n",
+    "    files=shared.Files(\n",
+    "        content=f.read(),\n",
+    "        file_name=filename,\n",
+    "    )\n",
+    "\n",
+    "# 调用 unstructured_client 的 API，将文件分割成元素，并返回分割结果\n",
+    "req = shared.PartitionParameters(\n",
+    "    files=files,\n",
+    "    strategy=\"hi_res\",\n",
+    "    hi_res_model_name=\"yolox\",\n",
+    "    pdf_infer_table_structure=True,\n",
+    "    skip_infer_table_types=[],\n",
+    ")\n",
+    "\n",
+    "try:\n",
+    "    # s 为 unstructured_client 的 service，用于调用 unstructured_client 的 API\n",
+    "    resp = s.general.partition(req)\n",
+    "    # 将分割结果转换为 Elements（元素）对象\n",
+    "    pdf_elements = dict_to_elements(resp.elements)\n",
+    "except SDKError as e:\n",
+    "    print(e)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "db9140db",
+   "metadata": {},
+   "source": [
+    "我们本次处理的目标文件就是 Donut 模型的原始论文。处理完后我们查阅第一个元素，是论文的标题。\n",
+    "可以看到在元素的 text 中存放的是论文的标题"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "8ed8e92e-5d85-4d9e-9867-6ed8a190b9d5",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'type': 'Title',\n",
+       " 'element_id': '59a9f0edd370eaa8c5c59cd9256e63bd',\n",
+       " 'text': 'OCR-free Document Understanding Transformer',\n",
+       " 'metadata': {'filetype': 'application/pdf',\n",
+       "  'languages': ['eng'],\n",
+       "  'page_number': 1,\n",
+       "  'filename': 'donut_paper.pdf'}}"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pdf_elements[0].to_dict()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6803db72",
+   "metadata": {},
+   "source": [
+    "这里我们也能看到一些 table 类型的元素"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "f50942e5-33e4-43d9-ad89-a3840a944ed8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "tables = [el for el in pdf_elements if el.category == \"Table\"]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "550e7379",
+   "metadata": {},
+   "source": [
+    "我们抽取第一个 table，存储为 html 类型展示"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "a733c9d8-d6a5-4bad-8ba0-b1393165b6e7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "table_html = tables[0].metadata.text_as_html"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "27481fdb-e8d1-430d-8919-46205765c044",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<table>\n",
+      "  <thead>\n",
+      "    <th>NAVER CLOVA</th>\n",
+      "    <th>2NAVER Search</th>\n",
+      "    <th>3SNAVER AI Lal</th>\n",
+      "  </thead>\n",
+      "</table>\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "from io import StringIO \n",
+    "from lxml import etree\n",
+    "\n",
+    "# etree.XMLParser(remove_blank_text=True) 用于去除空白字符\n",
+    "parser = etree.XMLParser(remove_blank_text=True)\n",
+    "# StringIO 用于将字符串转换为文件对象\n",
+    "file_obj = StringIO(table_html)\n",
+    "# etree.parse 用于解析文件对象\n",
+    "tree = etree.parse(file_obj, parser)\n",
+    "print(etree.tostring(tree, pretty_print=True).decode())"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e920eaec",
+   "metadata": {},
+   "source": [
+    "打印后的效果如下：\n",
+    "\n",
+    "<table>\n",
+    "  <thead>\n",
+    "    <th>NAVER CLOVA</th>\n",
+    "    <th>2NAVER Search</th>\n",
+    "    <th>3SNAVER AI Lal</th>\n",
+    "  </thead>\n",
+    "</table>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5e87452f",
+   "metadata": {},
+   "source": [
+    "## 四、PDF 过滤和合并语料库\n",
+    "我们在处理文档时有一些不必要的内容，这时我们需要删除他们。比如在这篇论文中摘要对我们搜索的影响不大，并且有可能有负面影响。这时候我们需要删除摘要部分，怎么去实现呢？可以看看下面的工作。"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "56a3c13a",
+   "metadata": {},
+   "source": [
+    "### 4.1 过滤引用部分"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 78,
+   "id": "73044344-ee8e-4287-9f65-b8f9d9b258b0",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<IPython.core.display.Image object>"
+      ]
+     },
+     "execution_count": 78,
+     "metadata": {
+      "image/png": {
+       "height": 400,
+       "width": 400
+      }
+     },
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "Image(filename='images/7-4.png', height=400, width=400) "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ffd80c89-5c09-4b89-b36b-9017d334499a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 首先我们需要查询到摘要部分的父类 ID，我们知道摘要部分的文档关键字是“References”，同时在PDF中“References”字样类型是“Title”。那我们可以通过下面的写法找到摘要标题对应的元素。\n",
+    "reference_title = [\n",
+    "    el for el in pdf_elements\n",
+    "    if el.text == \"References\"\n",
+    "    and el.category == \"Title\"\n",
+    "][0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "7c16d2b4-2039-4f08-ac63-9a4f27d0bc1f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'type': 'Title',\n",
+       " 'element_id': '05db3e5dd95df32622138973f0d4b9ed',\n",
+       " 'text': 'References',\n",
+       " 'metadata': {'filetype': 'application/pdf',\n",
+       "  'languages': ['eng'],\n",
+       "  'page_number': 15,\n",
+       "  'parent_id': 'f6fdb355e327d011494e182b9f994661',\n",
+       "  'filename': 'donut_paper.pdf'}}"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "reference_title.to_dict()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b6da4876",
+   "metadata": {},
+   "source": [
+    "{'type': 'Title',\n",
+    " 'element_id': '05db3e5dd95df32622138973f0d4b9ed',\n",
+    " 'text': 'References',\n",
+    " 'metadata': {'filetype': 'application/pdf',\n",
+    "  'languages': ['eng'],\n",
+    "  'page_number': 15,\n",
+    "  'parent_id': 'f6fdb355e327d011494e182b9f994661',\n",
+    "  'filename': 'donut_paper.pdf'}}\n",
+    "\n",
+    "  在返回值中我们可以看到 References 作为元素的名称，属性是“Title”。我们可以找到这个父类元素。通过 .id 方法可以轻松拿到父类元素 ID。"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "303b9220-6367-4acc-a301-72e90620ed6f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "references_id = reference_title.id"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "571c38b1",
+   "metadata": {},
+   "source": [
+    "那我们定位出所有父类 ID 为引用的子元素，即可定位出所有的引用内容部分。\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "2b1b9656-0018-4936-a9c9-3beac7a7c610",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1. Afzal, M.Z., Capobianco, S., Malik, M.I., Marinai, S., Breuel, T.M., classification with Dengel, A., Liwicki, M.: Deepdocclassifier: Document deep convolutional neural network. In: 2015 13th International Conference on Document Analysis and Recognition (ICDAR). pp. 1111–1115 (2015). https://doi.org/10.1109/ICDAR.2015.7333933 1, 4, 14\n"
+     ]
+    }
+   ],
+   "source": [
+    "for element in pdf_elements:\n",
+    "    if element.metadata.parent_id == references_id:\n",
+    "        print(element)\n",
+    "        break"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "67e8a0f9",
+   "metadata": {},
+   "source": [
+    "1. Afzal, M.Z., Capobianco, S., Malik, M.I., Marinai, S., Breuel, T.M., classification with Dengel, A., Liwicki, M.: Deepdocclassifier: Document deep convolutional neural network. In: 2015 13th International Conference on Document Analysis and Recognition (ICDAR). pp. 1111–1115 (2015). https://doi.org/10.1109/ICDAR.2015.7333933 1, 4, 14"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "c7c9c2ce-433c-493f-8d01-3d257bf1eff1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pdf_elements = [el for el in pdf_elements if el.metadata.parent_id != references_id]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "610c5f91",
+   "metadata": {},
+   "source": [
+    "在这里我们只需要过滤一遍所有元素，把id属于引用的都删除即可。"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b3495de3-1ad8-4f81-b979-d67de01bd8d2",
+   "metadata": {},
+   "source": [
+    "### 4.2 过滤标题"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c7d37ad9",
+   "metadata": {},
+   "source": [
+    "这里的标题不单只题目，主要处理页面的页眉信息，如果不做处理会影响内容的连贯性，进而影响 RAG 的效果。\n",
+    "处理方案和处理引用一致，不过多赘述。"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "a06b26de-c6f6-4790-8863-00750a4db22d",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<IPython.core.display.Image object>"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {
+      "image/png": {
+       "height": 400,
+       "width": 400
+      }
+     },
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "Image(filename='images/7-5.png', height=400, width=400) "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "29593c8d-a579-454f-872f-9001caa5613c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "headers = [el for el in pdf_elements if el.category == \"Header\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "2e2a006f-9125-4c13-a2ee-a86452b59b2b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'type': 'Header',\n",
+       " 'element_id': 'a4b916e36299d9c6f3f676a6480f550c',\n",
+       " 'text': 'OCR-free Document Understanding Transformer',\n",
+       " 'metadata': {'filetype': 'application/pdf',\n",
+       "  'languages': ['eng'],\n",
+       "  'page_number': 3,\n",
+       "  'filename': 'donut_paper.pdf'}}"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "headers[1].to_dict()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "4c40d66a-4be5-4051-8226-5be421118ab3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pdf_elements = [el for el in pdf_elements if el.category != \"Header\"]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1626e1ee-7354-485b-b2ce-64d65df355e4",
+   "metadata": {},
+   "source": [
+    "## 五、处理其他文件\n",
+    "这里和之前课程一样，使用非结构化数据开源库对 ppt 分区"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f3606fab",
+   "metadata": {},
+   "source": [
+    "### 5.1 处理 ppt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "id": "3c1bc612-e64e-4b9a-84de-90763c1ec064",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "filename = \"example_files/donut_slide.pptx\"\n",
+    "pptx_elements = partition_pptx(filename=filename)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "527495ff-0e84-400e-b6a6-982a5288f2f5",
+   "metadata": {},
+   "source": [
+    "### 5.2 处理 readme 文件\n",
+    "使用非结构化数据开源库对 ppt 分区"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "id": "b2e35d92-78bc-46be-985e-6baba4830b12",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "filename = \"example_files/donut_readme.md\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "id": "946d2081-9070-423b-99f0-ce260e9a6491",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "md_elements = partition_md(filename=filename)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b5533a29-62fe-432b-bfa0-499d4029fdbf",
+   "metadata": {},
+   "source": [
+    "## 六、搭建文件处理机器人\n",
+    "### 6.1 数据准备"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6b739a36-8f61-46ac-861b-641f56b140f0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 单个文档按标题进行分块\n",
+    "elements = chunk_by_title(pdf_elements + pptx_elements + md_elements)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2f4405b3",
+   "metadata": {},
+   "source": [
+    "### 6.2 向量数据库准备"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a87e5924-6c42-47ab-8cd1-2c22caed71c6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 使用 langchain 制作 RAG 系统，这里引入必要的库文件。\n",
+    "from langchain_community.vectorstores import Chroma\n",
+    "from langchain_core.documents import Document\n",
+    "from langchain_openai import OpenAIEmbeddings"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9af0f348-0697-4bed-8f97-a0ee03475ffe",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 对与处理后的 element 进行清洗，删除 language 字段，更新 source 字段，将每个元素加载到 langchain 的 Document 块中。\n",
+    "\n",
+    "documents = []\n",
+    "for element in elements:\n",
+    "    # element.meatdata.to_dict() 方法可以获取元素的元数据信息，并转换为字典格式\n",
+    "    metadata = element.metadata.to_dict()\n",
+    "    # 去掉元数据中的 languages 字段，因为 RAG 机器人不支持多语言\n",
+    "    del metadata[\"languages\"]\n",
+    "    # 增加一个 source 字段，用于记录元素的来源文件名\n",
+    "    metadata[\"source\"] = metadata[\"filename\"]\n",
+    "    # 构造 Document 对象，并添加到 documents 列表中\n",
+    "    documents.append(Document(page_content=element.text, metadata=metadata))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "71d9bca3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 填写你的 OPENAI_API_KEY 因为会用到 openai 的 api 包括 llm 模型及 embedding 模型\n",
+    "OPENAI_API_KEY=\"sk-\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "43ce7dc4-a23f-4024-b647-1eae469efc77",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 配置 embedding 模型\n",
+    "embeddings = OpenAIEmbeddings(openai_api_key=OPENAI_API_KEY)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "id": "b2bc691d-18e8-4833-9009-e13f7fa13e0e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 创建向量数据库\n",
+    "vectorstore = Chroma.from_documents(documents, embeddings)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "id": "a775b466-16af-4bf1-94d5-c96563ce50d0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 设置检索器在向量数据库搜索，通过相似性搜索规则，通过配置“k”：6 参数，可以检索到6个最相似的内容。\n",
+    "retriever = vectorstore.as_retriever(\n",
+    "    search_type=\"similarity\",\n",
+    "    search_kwargs={\"k\": 6}\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ca492cf0",
+   "metadata": {},
+   "source": [
+    "### 6.3 多文档查询 RAGbot 搭建"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6b3a5fa6-7169-4f1f-aabd-15eec4da8f53",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 导入 langchain 相关库\n",
+    "from langchain.prompts.prompt import PromptTemplate\n",
+    "from langchain_openai import OpenAI\n",
+    "from langchain.chains import ConversationalRetrievalChain, LLMChain\n",
+    "from langchain.chains.qa_with_sources import load_qa_with_sources_chain"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "238ea8c4-c099-490a-877c-2050b65fd2b0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 编写 prompt 模版\n",
+    "template = \"\"\"你是一个AI助手，负责回答关于Donut文档理解模型的问题。\n",
+    "给你一份长文件的以下摘录部分和一个问题。提供一个对话式的回答。\n",
+    "如果你不知道答案，就说“嗯，我不确定。”不要试图编造答案。\n",
+    "如果问题不是关于Donut的，礼貌地告诉他们你只会回答关于Donut的问题。\n",
+    "问题:{question}\n",
+    "=========\n",
+    "{context}\n",
+    "=========\n",
+    "Answer in Markdown:\"\"\"\n",
+    "prompt = PromptTemplate(template=template, input_variables=[\"question\", \"context\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "42096f06-ae93-4d5d-acb6-02b760745b9e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 配置 langchain 检索链，如果你对这里的内容不理解可以看看本项目下 langchain 课程。\n",
+    "\n",
+    "llm = OpenAI(temperature=0,openai_api_key=OPENAI_API_KEY)\n",
+    "\n",
+    "# load_qa_with_sources_chain 是加载 QA 模型的函数，这里使用的是基于 Map-Reduce 的模型。\n",
+    "doc_chain = load_qa_with_sources_chain(llm, chain_type=\"map_reduce\")\n",
+    "# LLMChain 是基于语言模型的问答生成器。\n",
+    "question_generator_chain = LLMChain(llm=llm, prompt=prompt)\n",
+    "# ConversationalRetrievalChain 是基于检索的问答生成器。\n",
+    "qa_chain = ConversationalRetrievalChain(\n",
+    "    retriever=retriever,\n",
+    "    question_generator=question_generator_chain,\n",
+    "    combine_docs_chain=doc_chain,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d9329374-1a3f-44aa-8cd0-14a6d8bcae7e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "' Donut算法相比其他文档理解算法的优势在于其强大的理解能力和高性能的表现，通过对各种VDU任务和数据集的广泛评估，展示了如何根据下游任务来理解整个文档。实验表明，一个简单的无OCR VDU模型可以在速度和准确性方面达到最先进的性能。总的来说，Donut算法的贡献是高性能和成本效益。 \\nSOURCES: donut_slide.pptx, donut_paper.pdf'"
+      ]
+     },
+     "execution_count": 68,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# 我们开始对 RAGbot 进行提问：Donut 算法相比其他文档理解算法优势在哪里？\n",
+    "qa_chain.invoke({\n",
+    "    \"question\": \"Donut算法相比其他文档理解算法优势在哪里？\",\n",
+    "    \"chat_history\": []\n",
+    "})[\"answer\"]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7088d61f",
+   "metadata": {},
+   "source": [
+    "Donut 是一种不依赖于 OCR 的文档理解模型，可以以端到端方式进行训练，使其比传统方法更快、更准确。\\nSOURCES: donut_paper.pdf, donut_slide.pptx'"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a7841894",
+   "metadata": {},
+   "source": [
+    "从上面我们能看到检索了 PDF 和 PPT 文件得到了这个结果。"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "30084f08",
+   "metadata": {},
+   "source": [
+    "### 6.4 指定文档查询"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 71,
+   "id": "c2f3d9ab-9cb4-4b64-8ed6-db3467f2a548",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 当然，如果你有一些问题只想问特定的文档，这里也可以通过\"filter\": {\"source\": \"donut_readme.md\"}指定索引区域。 \n",
+    "# 实现方法如下：\n",
+    "filter_retriever = vectorstore.as_retriever(\n",
+    "    search_type=\"similarity\",\n",
+    "    search_kwargs={\"k\": 1, \"filter\": {\"source\": \"donut_readme.md\"}}\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ebca3607-5cc0-46e3-9f1e-ef60955d3abd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 更新查询 chain\n",
+    "filter_chain = ConversationalRetrievalChain(\n",
+    "    retriever=filter_retriever,\n",
+    "    question_generator=question_generator_chain,\n",
+    "    combine_docs_chain=doc_chain,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "67c0ff39-291e-4cd1-9aef-b2db960a728b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "' Donut模型可以通过使用文档理解转换器来对文档进行分类。该模型可以通过pip安装，并且可以通过Gradio或Colab进行演示。有关如何引用该模型的信息，请参阅ECCV 2022会议论文。\\nSOURCES: donut_readme.md'"
+      ]
+     },
+     "execution_count": 73,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# 们开始对 RAGbot 进行提问：如何使用 Donut 模型对文档进行分类？（这里只限制用 md 的资料回答。）\n",
+    "\n",
+    "filter_chain.invoke({\n",
+    "    \"question\": \"如何使用Donut模型对文档进行分类？\",\n",
+    "    \"chat_history\": [],\n",
+    "    \"filter\": filter,\n",
+    "})[\"answer\"]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "77c6d7cb",
+   "metadata": {},
+   "source": [
+    "结果如下：\n",
+    "\n",
+    "Donut 是一个文档理解转换器，可用于文档分类。在 ECCV 2022会议上进行了介绍，并在 arXiv 上发表了一篇论文。Donut 还在 Gradio 和 Colab 上提供了一个演示，可以使用 pip 安装。\\ nSOURCES: donut_readme.md"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.8"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git "a/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/8. \346\200\273\347\273\223 Conclusion.ipynb" "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/8. \346\200\273\347\273\223 Conclusion.ipynb"
new file mode 100644
index 00000000..1c06fcfb
--- /dev/null
+++ "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/8. \346\200\273\347\273\223 Conclusion.ipynb"	
@@ -0,0 +1,24 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# 第八章 总结 Conclusion\n",
+    "\n",
+    "在本课程中，我们**全面介绍了如何处理和标准化来自多种不同数据源的内容**，来丰富 RAG 应用程序。首先，课程介绍了**数据摄取和标准化的关键技术**，帮助开发者能够**有效地处理多种多样的数据源**。其次，我们介绍了**如何在预处理中提取元数据，并将其用于增强 RAG 应用程序的功能和效率**，通过提供**更丰富的上下文和结构信息**，来提升了应用程序的性能。\n",
+    "\n",
+    "此外，课程**深入探讨了高级建模技术，使开发者能够从 PDF 和图像中抽取内容**。这些技术对于**从非文本数据源中提取有价值的信息至关重要**，**显著扩展了 RAG 应用程序的适用范围**。我们还介绍了**如何将数据预处理的输出转化为功能齐全的 RAGBOT**，这涉及将**多种预处理步骤有机整合，构建一个能够处理复杂任务的健壮且高效的 RAGBOT**。\n",
+    "\n",
+    "通过本课程的学习，我们希望开发者可以具备**构建一个能够识别和理解项目或组织信息的智能 RAGBOT的能力**。"
+   ]
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git "a/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/Utils_Ch3.py" "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/Utils_Ch3.py"
new file mode 100644
index 00000000..b453bcba
--- /dev/null
+++ "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/Utils_Ch3.py"	
@@ -0,0 +1,69 @@
+import os
+import panel as pn
+from dotenv import load_dotenv
+
+
+# 确保加载面板扩展以实现基于 Web 的可视化。
+pn.extension()
+
+
+class Utils:
+    """
+    实用工具类，用于从环境变量中获取配置信息。
+    """
+    def __init__(self):
+        # 实例创建时只加载一次环境变量。
+        load_dotenv()
+
+    def get_dlai_api_key(self):
+        """
+        从环境变量中检索 DLAI API 密钥。
+
+        返回值：
+            str: DLAI API 密钥（如果已设置）；否则为 None。
+        """
+        return os.getenv("DLAI_API_KEY")
+
+    def get_dlai_url(self):
+        """
+        从环境变量中获取 DLAI API URL。
+
+        返回值：
+            str: DLAI API URL（如果已设置）；否则为 None。
+        """
+        print(os.getenv("DLAI_API_URL"))
+
+        return os.getenv("DLAI_API_URL")
+
+
+class UploadFile:
+    """
+    通过面板小部件处理文件上传，仅允许特定文件类型。
+    """
+    def __init__(self):
+        self.widget_file_upload = pn.widgets.FileInput(accept='.pdf,.ppt,.png,.html', multiple=False)
+        # 注意 "文件名" 的变化，以触发 save_filename 方法。
+        self.widget_file_upload.param.watch(self.save_filename, 'filename')
+
+    def save_filename(self, event):
+        """
+        如果上传文件的大小在限制范围内（2 MB），则保存该文件。
+
+        参数：
+            event: 包含文件输入小部件中更改的详细信息。不直接用于此功能，但回调签名需要它。
+
+        如果文件大小超过 2 MB 限制，则打印信息，否则保存文件。
+        """
+        # 将文件大小限制为 2 MB。
+        max_file_size = 2 * 1024 * 1024
+
+        if len(self.widget_file_upload.value) > max_file_size:
+            print("文件过大。2 MB 限制！")
+        else:
+            # 确保目录存在。
+            output_dir = './example_files'
+            os.makedirs(output_dir, exist_ok=True)
+
+            # 将文件保存到指定目录。
+            with open(os.path.join(output_dir, self.widget_file_upload.filename), 'wb') as f:
+                f.write(self.widget_file_upload.value)
diff --git "a/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/Utils_Ch4.py" "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/Utils_Ch4.py"
new file mode 100644
index 00000000..ddb99c5b
--- /dev/null
+++ "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/Utils_Ch4.py"	
@@ -0,0 +1,14 @@
+import os
+from dotenv import load_dotenv, find_dotenv
+
+# 获取 Unstructured API 相关环境变量
+class Utils:
+  def __init__(self):
+    pass
+  def get_dlai_api_key(self):
+    _ = load_dotenv(find_dotenv())
+    return os.getenv("DLAI_API_KEY")
+    
+  def get_dlai_url(self):
+    _ = load_dotenv(find_dotenv())
+    return os.getenv("DLAI_API_URL")
diff --git "a/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/Utils_Ch5.py" "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/Utils_Ch5.py"
new file mode 100644
index 00000000..b453bcba
--- /dev/null
+++ "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/Utils_Ch5.py"	
@@ -0,0 +1,69 @@
+import os
+import panel as pn
+from dotenv import load_dotenv
+
+
+# 确保加载面板扩展以实现基于 Web 的可视化。
+pn.extension()
+
+
+class Utils:
+    """
+    实用工具类，用于从环境变量中获取配置信息。
+    """
+    def __init__(self):
+        # 实例创建时只加载一次环境变量。
+        load_dotenv()
+
+    def get_dlai_api_key(self):
+        """
+        从环境变量中检索 DLAI API 密钥。
+
+        返回值：
+            str: DLAI API 密钥（如果已设置）；否则为 None。
+        """
+        return os.getenv("DLAI_API_KEY")
+
+    def get_dlai_url(self):
+        """
+        从环境变量中获取 DLAI API URL。
+
+        返回值：
+            str: DLAI API URL（如果已设置）；否则为 None。
+        """
+        print(os.getenv("DLAI_API_URL"))
+
+        return os.getenv("DLAI_API_URL")
+
+
+class UploadFile:
+    """
+    通过面板小部件处理文件上传，仅允许特定文件类型。
+    """
+    def __init__(self):
+        self.widget_file_upload = pn.widgets.FileInput(accept='.pdf,.ppt,.png,.html', multiple=False)
+        # 注意 "文件名" 的变化，以触发 save_filename 方法。
+        self.widget_file_upload.param.watch(self.save_filename, 'filename')
+
+    def save_filename(self, event):
+        """
+        如果上传文件的大小在限制范围内（2 MB），则保存该文件。
+
+        参数：
+            event: 包含文件输入小部件中更改的详细信息。不直接用于此功能，但回调签名需要它。
+
+        如果文件大小超过 2 MB 限制，则打印信息，否则保存文件。
+        """
+        # 将文件大小限制为 2 MB。
+        max_file_size = 2 * 1024 * 1024
+
+        if len(self.widget_file_upload.value) > max_file_size:
+            print("文件过大。2 MB 限制！")
+        else:
+            # 确保目录存在。
+            output_dir = './example_files'
+            os.makedirs(output_dir, exist_ok=True)
+
+            # 将文件保存到指定目录。
+            with open(os.path.join(output_dir, self.widget_file_upload.filename), 'wb') as f:
+                f.write(self.widget_file_upload.value)
diff --git "a/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/Utils_Ch6.py" "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/Utils_Ch6.py"
new file mode 100644
index 00000000..11e92d0c
--- /dev/null
+++ "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/Utils_Ch6.py"	
@@ -0,0 +1,37 @@
+import os
+import sys
+from dotenv import load_dotenv, find_dotenv
+import panel as pn
+
+pn.extension()
+
+
+class Utils:
+    def __init__(self):
+        pass
+
+    def get_dlai_api_key(self):
+        _ = load_dotenv(find_dotenv())
+        return os.getenv("DLAI_API_KEY")
+
+    def get_dlai_url(self):
+        _ = load_dotenv(find_dotenv())
+        return os.getenv("DLAI_API_URL")
+
+
+class upld_file:
+    def __init__(self):
+        self.widget_file_upload = pn.widgets.FileInput(
+            accept=".pdf,.ppt,.png,.html,.jpg", multiple=False
+        )
+        self.widget_file_upload.param.watch(self.save_filename, "filename")
+
+    def save_filename(self, _):
+        if len(self.widget_file_upload.value) > 2e6:
+            print("file too large. 2 M limit")
+        else:
+            self.widget_file_upload.save(
+                "./example_files/" + self.widget_file_upload.filename
+            )
+        # print(f"filename_ = {self.widget_file_upload.filename}")
+        # print(f"length of value {len(self.widget_file_upload.value)}")
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+                </div></div> <div class="header-cont clearfix" data="datasource:202312068d723349c6a843fe8357cb6c1564f6d3" datatype="content"><div class="header-time left"><span class="year"><em>2023</em></span> <span class="day">12/06</span> <span class="time">09:47:56</span></div> <div class="source">来源：人民日报
+                </div> <div class="head-line clearfix"><h1 class=""><span class="title">2023年这些词语很流行</span> <span class="btn-audio"></span></h1> <audio id="audioDom" src="" loop="loop" class="hide"></audio> <div class="pageShare"><div class="setFont">字体：
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+                2023-12-06 09:47:56
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+                    来源：人民日报
+                </span></div></div> <div class="main clearfix"><div class="main-left"><div id="detail" data="datasource:202312068d723349c6a843fe8357cb6c1564f6d3" datatype="content"><span id="detailContent"><p>  《咬文嚼字》编辑部12月4日在上海发布2023年十大流行语，新质生产力、双向奔赴、人工智能大模型、村超、特种兵式旅游等入选。</p><p>  ●<strong>新质生产力</strong> “新质生产力”代表一种生产力的跃迁，是科技创新发挥主导作用的生产力，是摆脱了传统增长路径、符合高质量发展要求的生产力，是数字时代更具融合性、更体现新内涵的生产力。“新质生产力”丰富了马克思主义生产力理论的内涵，为新时代全面推进我国经济持续健康、高质量发展，整合科技创新资源，引领发展战略性新兴产业和未来产业，提供了科学理论指导和行动指南。</p><p>  ●<strong>双向奔赴</strong> 本指相关方朝着共同的目标，一起努力，相互靠近。多用于人与人之间，表达了人们相互爱慕、相互亲近的美好愿望。从用于个人到用于国家，“双向奔赴”的使用范围得到了延伸扩展，价值内涵得到了丰富升华。</p><p>  ●<strong>人工智能大模型</strong> 在人工智能领域，大模型是指拥有超大规模参数（通常在10亿个以上）、超强计算资源的机器学习模型，能够处理海量数据，完成各种复杂任务，如自然语言处理、图像识别等。计算机硬件性能不断提升，深度学习算法快速优化，大模型的发展日新月异。一系列基于大模型的人工智能应用相继问世，其中ChatGPT、“文心一言”等已经在社会生产、生活方面产生了广泛影响。</p><p>  ●<strong>村超</strong> 2023年5月13日，贵州省黔东南苗族侗族自治州榕江县所举办的“和美乡村足球超级联赛”开赛。“村超”由“乡村足球超级联赛”缩略而成。权威媒体统计，自开赛以来，“村超”单场最高上座人数超6万，全网浏览超480亿次，各项数据创下历史纪录。“村超”大放异彩，“村BA”（乡村篮球比赛）、“村排”（乡村排球比赛）等，也以惊人的能量和独特的魅力快速“出圈”。“村”字头的农村体育赛事蹿红，对推进全民健身、实现全面小康、振兴乡村经济，具有深远的现实意义。</p><p>  ●<strong>特种兵式旅游</strong> 文化和旅游消费持续复苏回暖，“特种兵式旅游”火遍全网。这种新型旅游方式，核心要义是用尽可能少的成本享受尽可能多的旅游资源。游客用最少的时间，花最少的费用，游览最多的景点，在旅游目的地了解最多的历史文化、风土人情，像在执行特殊任务。用“特种兵式”来修饰“旅游”，是用“特种兵”的显著特征为特殊的旅游方式赋能。</p><p>  ●<strong>显眼包</strong> “显眼包”即外在形象或性格特征引人注目的人。原本，“显眼包”多少带有一点“嫌弃”的意味。但如今，“显眼包”的褒扬意味明显，“嫌弃”的意味已经逐渐消解。称某人为“显眼包”，不仅在于其表面“爱出风头”，更在于其内在的活力外溢，既可爱有趣，又能够营造欢乐气氛。当下的“显眼包”因“与众不同”而大受欢迎，这是人们对个性化、多元化表达的认同。比如博物馆里形态生动、富有喜感的馆藏文物，也被称为“显眼包”。</p><p>  ●<strong>搭子</strong> 就是“搭档”，方言里原指“一起打牌的人”，即“牌搭子”。后使用范围扩大，一起从事某种活动的同伴皆泛称“搭子”。如今流行的“搭子”，反映的是一种新型的社交关系模式。“搭子”之间的互动，控制在满足特定需求的范围内。这种精准伴陪，被视为一种无压力社交，不需要费心思维护，有更多自主选择和自由空间。通过社交平台，年轻人万事可“搭”。吃饭有“饭搭子”，旅游有“旅游搭子”，运动有“运动搭子”，甚至还有“遛娃搭子”“逛街搭子”“减肥搭子”等。</p><p>  ●<strong>多巴胺××</strong> 多巴胺主要在脑细胞和肾上腺细胞中合成，可以影响人的运动、认知、情绪、睡眠等多个方面，其水平和平衡对人的健康和幸福至关重要。今年流行的“多巴胺穿搭”，一改过去精致优雅和朴素低调的风格，用高饱和度的色彩、缤纷明亮的搭配让人产生愉悦体验。“多巴胺穿搭”走红后，“多巴胺”引申出“快乐因子”的含义，从可视的色彩到不可视的抽象概念，都能用“多巴胺”，如“多巴胺景区”“多巴胺漫步”“多巴胺饮食”“多巴胺休假”等。</p><p>  ●<strong>情绪价值</strong> 本为营销学概念，指顾客感知的情绪收益和情绪成本之间的差值。如今流行的“情绪价值”则是对人际关系的描述，指的是一个人影响他人情绪的能力。一个人给他人带来舒服、愉悦和稳定的情绪越多，他的情绪价值就越高；反之，他的情绪价值则越低。“情绪价值”为正，能给人美好感受，激发正面情绪，激励个人成长。“情绪价值”的流行，反映了现代社会人们对美好生活更高层次的心理需求。</p><p>  ●<strong>质疑××，理解××，成为××</strong> 在十多年前的《爱情公寓》中，林宛瑜拒绝男友的求婚，决定追求职业梦想。起初观众不理解，纷纷指责，后来认识到爱情并非人生必需品，便理解了宛瑜，甚至有人表示自己就是宛瑜。今年年初，“质疑宛瑜，理解宛瑜，成为宛瑜”在社交平台传开后，“质疑××，理解××，成为××”逐渐变成一个造句格式广泛流行。在特定的人生阶段，面对特定的认知对象，“质疑、理解、成为”是客观存在的动态心理过程，也是心智成长、成熟的必经阶段，表征于社会生活的方方面面。</p><p>  《咬文嚼字》主编黄安靖表示，今年《咬文嚼字》秉承长期以来的评选原则，坚持语言的“社会学价值”及“语言学价值”评价标准。与往年相比，2023年“十大流行语”以下几个方面的特征比较突出：</p><p>  一、年度特征明显，折射社会生活面貌。比如，“人工智能大模型”，折射出以ChatGPT等为代表的人工智能正走进一个全新时代，这将改变人类的生产、生活甚至思维方式。“村超”则是推进全民健身、振兴乡村实践的生动诠释。</p><p>  二、创新特征明显，凸显语言创造力。今年出现的大量流行语，都凸显出一个“新”字，展现出人们强大的语言创新能力。比如“显眼包”“搭子”为原词增加了新的内涵；“多巴胺××”“特种兵式××”“质疑××，理解××，成为××”为汉语语法库增加了新的造句格式。</p><p>  三、短视频崛起，语用边界尚未消除。短视频以快速、接地气的传播优势获得平台、粉丝的青睐，成为人们展现语言智慧、进行语言创造的又一重要平台。然而，短视频的主要使用人群还是以年轻人为主，年长者还处在逐渐了解、接受的过程中。因此，大量流行于短视频的语言形式，被全社会接受还有一个过程。在语言运用上，短视频与报刊等传统媒体甚至互联网的传统传播方式之间存在明显边界，导致“短视频流行语”转化成“全民流行语”还有一个过程。这也是今年流行语没有出现“爆款”的原因之一。</p></span> <div id="articleEdit"><span class="tiyi1 domPC"><a href="javascript:void(0);" class="advise">【纠错】</a> <div id="advisebox01" class="tiyi01" style="display:none;"><div><iframe id="jc_link1" border="0" marginwidth="0" framespacing="0" marginheight="0" frameborder="0" noresize="noresize" scrolling="no" vspale="0" style="width:600px;height:350px;float:left;" src="./2023十大流行词_files/saved_resource.html"></iframe></div> <div class="tiyi03"><div id="jc_close1" style="cursor:pointer;"><img src="./2023十大流行词_files/space.gif" width="24" height="24" border="0"></div></div></div></span> <span class="editor"> 【责任编辑:徐梅】 </span></div></div> <div class="nextpage clearfix" style="display:none"><div class="nextpage-tit">阅读下一篇：</div> <div class="nextpage-cont"><a href="http://www.nmg.xinhuanet.com/20231206/8d723349c6a843fe8357cb6c1564f6d3/c.html###"></a></div></div></div></div> <div class="foot"><script src="./2023十大流行词_files/foot.js"></script></div><style>.lib-foot{margin-top:40px;padding:20px 0;font-size:14px;line-height:26px;text-align:center;color:#fff;background:#024ac2}@media screen and (max-width: 768px) {.lib-foot {margin-top: 10px;font-size:12px}}</style><div class="lib-foot"><p>Copyright © 2000 - 2024 XINHUANET.com　All Rights Reserved.</p><p>制作单位：新华网股份有限公司　　版权所有：新华网股份有限公司</p></div> <div data="datasource:202312068d723349c6a843fe8357cb6c1564f6d3" datatype="content"><div id="fontsize" style="display:none;">
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n=e.attr("oldtabindex"),e=(n&&("none"==n?e.removeAttr("tabindex"):e.attr("tabindex",n)),e.find("a,input,select"));s.each(e,function(e,t){(n=t.getAttribute("oldtabindex"))&&("none"==n?new i(t).removeAttr("tabindex"):t.setAttribute("tabindex",n))})},resetOwns:u,checkPopupTab:function(e,t){var n=e.keyCode||e.which||e.charCode;if(9==n){var n=new i(t),t="true"==n.ariaAttr("popup")?n:n.closest("[aria-popup]");if(0!=t.length)return 0==("true"==(n=new i(e.target)).ariaAttr("popup")?n:n.closest("[aria-popup]")).length&&(t.focus(),!0)}}}},function(e,t,n){var h=n(13),r=n(23),g=n(10),m=n(3),v=n(117);function b(e,t,n,r){return(t?parseFloat(r/e):parseFloat(e/r)).toFixed(5)}function i(e){e=new g(e).find("[aria-forRotationchar]");m.each(e,function(e,t){var n=t.children[0];t.parentNode.insertBefore(n,t),t.remove()})}e.exports={dynamicRotationchar:function(e){if(h.oldFixedStatus||m.isMobile()){for(var t="",n=(new g(e.body).find("#autoRotationchar").html(""),new 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"+f)+(760<l?";font-size:36px;height:72px;line-height:72px;":";font-size:18px;height:36px;line-height:36px;")+"}"),s=s?(t=(t=(t=t+c+" "+s+"{")+"-moz-transform:scale( "+b(u,!1,0,l)+");")+" zoom: "+b(u,!1,0,l)+"}",":not("+s+")"):"",t+=c+"  img{width:"+u+"px !important;}",m.isFF())&&(p=d*parseInt(window.getComputedStyle(o.firstNode)["height"],10),o.closest("[aria-forRotationchar]"),o.parent().attr("aria-forRotationchar")?a.css("height",p):((f=document.createElement("div")).setAttribute("aria-forRotationchar","true"),f.style.height=p+"px",f.style.display="block",f.style.position="relative",o.before(f),f.appendChild(o.firstNode)))}m.appendCss(e,"autoRotationchar",t)}},end:i,endAll:function(){i(document),r.getAll(document,function(e){i(e)})}}},function(e,t,n){var d=n(306),f=n(308),p=n(283),i=n(285),h=n(284),g=n(3);function s(e){var t,n,r=[],e=(n=(e=e).selectionColor&&"auto"!==e.selectionColor?(n=(0,p.parse)(e.selectionColor),n=(0,p.rgbToHSL)(n),t=e.selectionColor,n.l<.5?"#FFF":"#000"):(t=(0,d.modifyBackgroundColor)({r:0,g:96,b:212},Object.assign(Object.assign({},e),{grayscale:0})),(0,d.modifyForegroundColor)({r:255,g:255,b:255},Object.assign(Object.assign({},e),{grayscale:0}))),{backgroundColorSelection:t,foregroundColorSelection:n}),i=e.backgroundColorSelection,o=e.foregroundColorSelection;return["::selection","::-moz-selection"].forEach(function(e){r.push(e+" { "),i&&r.push("    background-color: "+i+" !important;"),o&&r.push("    color: "+o+" !important; "),r.push("}")}),r.join("\n")}function c(e){var t,n,r,i,o,a,s,c,u,l=[];return e.scrollbarColor&&"auto"!==e.scrollbarColor?(a=(0,p.parse)(e.scrollbarColor),a=.5<(n=(0,p.rgbToHSL)(a)).l,r=function r(e){return Object.assign(Object.assign({},n),{l:(0,h.clamp)(n.l+e,0,1)})},o=(0,p.hslToString)((i=function i(e){return Object.assign(Object.assign({},n),{l:(0,h.clamp)(n.l-e,0,1)})})(.4)),a=(0,p.hslToString)((a?i:r)(.4)),s=(0,p.hslToString)(n),c=(0,p.hslToString)(r(.1)),u=(0,p.hslToString)(r(.2))):(o=(0,d.modifyBackgroundColor)({r:241,g:241,b:241},e),a=(0,d.modifyForegroundColor)({r:96,g:96,b:96},e),s=(0,d.modifyBackgroundColor)({r:176,g:176,b:176},e),c=(0,d.modifyBackgroundColor)({r:144,g:144,b:144},e),u=(0,d.modifyBackgroundColor)({r:96,g:96,b:96},e),t=(0,d.modifyBackgroundColor)({r:255,g:255,b:255},e)),l.push("::-webkit-scrollbar {"),o&&l.push("    background-color: "+o+";"),a&&l.push("    color: "+a+";"),g.isMobile()&&l.push("    width: 5px !important;"),l.push("}"),s&&(l.push("::-webkit-scrollbar-thumb {"),l.push("    background-color: "+s+";"),l.push("}")),c&&(l.push("::-webkit-scrollbar-thumb:hover {"),l.push("    background-color: "+c+";"),l.push("}")),u&&(l.push("::-webkit-scrollbar-thumb:active {"),l.push("    background-color: "+u+";"),l.push("}")),t&&(l.push("::-webkit-scrollbar-corner 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o&&(r.push("a {"),r.push("color: "+i+" ;"),r.push("}")),(a=d.modifyBorderColor({r:128,g:128,b:128},e))&&(r.push("table {"),r.push("border-color: "+a+" ;"),r.push("}")),(o=d.modifyForegroundColor({r:169,g:169,b:169},e))&&(r.push("::placeholder {"),r.push("color: "+o+" ;"),r.push("}")),r.push("input:-webkit-autofill,"),r.push("textarea:-webkit-autofill,"),r.push("select:-webkit-autofill {"),(i=d.modifyBackgroundColor({r:250,g:255,b:189},e))&&r.push("background-color: "+i+"  !important;"),(a=d.modifyForegroundColor({r:0,g:0,b:0},e))&&(r.push("color: "+a+"  !important;"),r.push("}")),e.focus&&e.focus.outline&&(r.push(".ariafocus,:focus{ outline:"+e.focus.outline+" !important;"),g.IsIos()||r.push("transition: outline 250ms;"),r.push("}")),r.push(".ariaregion,[aria-regionActive]{"),e.region&&e.region.backgroundColor&&r.push("background-color: "+d.modifyBackgroundColor(e.region.backgroundColor||{r:255,g:255,b:255},e)+"  ;"),e.region&&e.region.color&&r.push("color: 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r=i.changeColorProperties[n];if(!r){if(n.indexOf("color")<0)return;r=-1<n.indexOf("-bg-")||-1<n.indexOf("background")||-1<n.indexOf("theme-color")?1:-1<n.indexOf("border")?3:2}if(!(-1<[].indexOf.call(i.skipValue,t)||-1<t.indexOf("url")))return-1<t.indexOf("linear-gradient")?d.getGradientModifier(t,e):(1!=r&&4!=r||(t=d.modifyBackgroundColor(t,e)),2==r&&(t=d.modifyForegroundColor(t,e)),3==r?d.modifyBorderColor(t,e):t)}},getCSSFilterValue:function(e){var t,n,r,i;return e&&(e.backgroundColor?(n=p.parse(e.backgroundColor),t=p.getSRGBLightness(n.r,n.g,n.b),(r=100*(n=p.rgbToHSL(n)).s)<50&&(r=50),(i=[]).push("invert(100%)"),i.push("hue-rotate("+n.h+"deg)"),i.push("saturate("+r.toFixed(2)+"%)"),i.push("brightness("+(t=(t=0==t?100:t)<80?80:t)+"%)"),0==e.contrast&&(e.contrast=100),100!==e.contrast&&i.push("contrast("+e.contrast+"%)"),0!==e.sepia&&i.push("sepia("+e.sepia+"%)"),0===i.length?null:i.join(" ")):e)},getCssFilterValueForBg:function(e){var t,n;return 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t,n=(e=1<e.indexOf(")")?e.substring(0,e.indexOf(")")+1):e).trim().toLowerCase();if(n.match(c))return(t=d(t=n,f,p)).length<4&&t.push(1),{r:t[0],g:t[1],b:t[2],a:t[3]};if(n.match(u))return(t=d(t=n,h,g)).length<4&&t.push(1),s({h:t[0],s:t[1],l:t[2],a:t[3]});if(n.match(l)){var r=n,i=r.substring(1),o=[];switch(i.length){case 3:case 4:o=[0,1,2].map(function(e){return parseInt(i[e]+i[e],16)});var a=3===i.length?1:parseInt(i[3]+i[3],16)/255;o.push(a);break;case 6:case 8:o=[0,2,4].map(function(e){return parseInt(i.substring(e,e+2),16)});a=6===i.length?1:parseInt(i.substring(6,8),16)/255;o.push(a)}return(r={}).r=o[0],r.g=o[1],r.b=o[2],r.a=o[3],r}return b.has(n)?(r=n,{r:(r=b.get(r))>>16&255,g:r>>8&255,b:r>>0&255,a:1}):y.has(n)?(n=n,{r:(n=y.get(n))>>16&255,g:n>>8&255,b:n>>0&255,a:1}):"transparent"===e?{r:0,g:0,b:0,a:0}:void 0}function d(e,i,t){var e=function(e){var t=[],n=0,r=!1,i=e.indexOf("(");e=e.substring(i+1,e.indexOf(")"));for(var o=0;o<e.length;o++){var 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Map(Object.entries({aliceblue:15792383,antiquewhite:16444375,aqua:65535,aquamarine:8388564,azure:15794175,beige:16119260,bisque:16770244,black:0,blanchedalmond:16772045,blue:255,blueviolet:9055202,brown:10824234,burlywood:14596231,cadetblue:6266528,chartreuse:8388352,chocolate:13789470,coral:16744272,cornflowerblue:6591981,cornsilk:16775388,crimson:14423100,cyan:65535,darkblue:139,darkcyan:35723,darkgoldenrod:12092939,darkgray:11119017,darkgrey:11119017,darkgreen:25600,darkkhaki:12433259,darkmagenta:9109643,darkolivegreen:5597999,darkorange:16747520,darkorchid:10040012,darkred:9109504,darksalmon:15308410,darkseagreen:9419919,darkslateblue:4734347,darkslategray:3100495,darkslategrey:3100495,darkturquoise:52945,darkviolet:9699539,deeppink:16716947,deepskyblue:49151,dimgray:6908265,dimgrey:6908265,dodgerblue:2003199,firebrick:11674146,floralwhite:16775920,forestgreen:2263842,fuchsia:16711935,gainsboro:14474460,ghostwhite:16316671,gold:16766720,goldenrod:14329120,gray:8421504,grey:8421504,green:32768,greenyellow:11403055,honeydew:15794160,hotpink:16738740,indianred:13458524,indigo:4915330,ivory:16777200,khaki:15787660,lavender:15132410,lavenderblush:16773365,lawngreen:8190976,lemonchiffon:16775885,lightblue:11393254,lightcoral:15761536,lightcyan:14745599,lightgoldenrodyellow:16448210,lightgray:13882323,lightgrey:13882323,lightgreen:9498256,lightpink:16758465,lightsalmon:16752762,lightseagreen:2142890,lightskyblue:8900346,lightslategray:7833753,lightslategrey:7833753,lightsteelblue:11584734,lightyellow:16777184,lime:65280,limegreen:3329330,linen:16445670,magenta:16711935,maroon:8388608,mediumaquamarine:6737322,mediumblue:205,mediumorchid:12211667,mediumpurple:9662683,mediumseagreen:3978097,mediumslateblue:8087790,mediumspringgreen:64154,mediumturquoise:4772300,mediumvioletred:13047173,midnightblue:1644912,mintcream:16121850,mistyrose:16770273,moccasin:16770229,navajowhite:16768685,navy:128,oldlace:16643558,olive:8421376,olivedrab:7048739,orange:16753920,orangered:16729344,orchid:14315734,palegoldenrod:15657130,palegreen:10025880,paleturquoise:11529966,palevioletred:14381203,papayawhip:16773077,peachpuff:16767673,peru:13468991,pink:16761035,plum:14524637,powderblue:11591910,purple:8388736,rebeccapurple:6697881,red:16711680,rosybrown:12357519,royalblue:4286945,saddlebrown:9127187,salmon:16416882,sandybrown:16032864,seagreen:3050327,seashell:16774638,sienna:10506797,silver:12632256,skyblue:8900331,slateblue:6970061,slategray:7372944,slategrey:7372944,snow:16775930,springgreen:65407,steelblue:4620980,tan:13808780,teal:32896,thistle:14204888,tomato:16737095,turquoise:4251856,violet:15631086,wheat:16113331,white:16777215,whitesmoke:16119285,yellow:16776960,yellowgreen:10145074})),y=new Map(Object.entries({ActiveBorder:3906044,ActiveCaption:0,AppWorkspace:11184810,Background:6513614,ButtonFace:16777215,ButtonHighlight:15329769,ButtonShadow:10461343,ButtonText:0,CaptionText:0,GrayText:8355711,Highlight:11720703,HighlightText:0,InactiveBorder:16777215,InactiveCaption:16777215,InactiveCaptionText:0,InfoBackground:16514245,InfoText:0,Menu:16185078,MenuText:16777215,Scrollbar:11184810,ThreeDDarkShadow:0,ThreeDFace:12632256,ThreeDHighlight:16777215,ThreeDLightShadow:16777215,ThreeDShadow:0,Window:15527148,WindowFrame:11184810,WindowText:0,"-webkit-focus-ring-color":15046400}).map(function(e){return[e[0].toLowerCase(),e[1]]}));function o(e,t,n){return(.2126*e+.7152*t+.0722*n)/255}e.exports={getSRGBLightness:o,systemColors:y,knownColors:b,lowerCalcExpression:function(i){for(var o=0,r=function r(e,t,n){i=i.substring(0,e)+n+i.substring(t)},a=function a(){for(var e=0,t=1;t<4;t++){var n=i[o+t];if(" "===n)break;if(!m(n))break;e=(e*=10)+Number(n)}var 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e?Object.defineProperty(e,t,{value:n,enumerable:!0,configurable:!0,writable:!0}):e[t]=n}i(n={background:1,"border-color":3,"outline-color":3,"background-color":1},"border-color",3),i(n,"border-bottom-color",3),i(n,"border-left-color",3),i(n,"border-right-color",3),i(n,"border-top-color",3),i(n,"box-shadow",4),i(n,"color",2),i(n,"fill",2),i(n,"stroke",2),i(n,"stop-color",1),i(n,"bgcolor",1),i(n,"background-image",100),i(n,"width",102);e.exports={changeColorProperties:n,skipValue:["inherit","transparent","initial","currentcolor","none","unset","invert"],overrides:{"background-color":{customProp:"--ariareader-inline-bgcolor",cssProp:"background-color",dataAttr:"data-ariareader-inline-bgcolor"},background:{customProp:"--ariareader-inline-background",cssProp:"background",dataAttr:"data-ariareader-inline-background"},"background-image":{customProp:"--ariareader-inline-bgimage",cssProp:"background-image",dataAttr:"data-ariareader-inline-bgimage"},"border-color":{customProp:"--ariareader-inline-border",cssProp:"border-color",dataAttr:"data-ariareader-inline-border"},"border-bottom-color":{customProp:"--ariareader-inline-border-bottom",cssProp:"border-bottom-color",dataAttr:"data-ariareader-inline-border-bottom"},"border-left-color":{customProp:"--ariareader-inline-border-left",cssProp:"border-left-color",dataAttr:"data-ariareader-inline-border-left"},"border-right-color":{customProp:"--ariareader-inline-border-right",cssProp:"border-right-color",dataAttr:"data-ariareader-inline-border-right"},"border-top-color":{customProp:"--ariareader-inline-border-top",cssProp:"border-top-color",dataAttr:"data-ariareader-inline-border-top"},"box-shadow":{customProp:"--ariareader-inline-boxshadow",cssProp:"box-shadow",dataAttr:"data-ariareader-inline-boxshadow"},color:{customProp:"--ariareader-inline-color",cssProp:"color",dataAttr:"data-ariareader-inline-color"},fill:{customProp:"--ariareader-inline-fill",cssProp:"fill",dataAttr:"data-ariareader-inline-fill"},stroke:{customProp:"--ariareader-inline-stroke",cssProp:"stroke",dataAttr:"data-ariareader-inline-stroke"},"outline-color":{customProp:"--ariareader-inline-outline",cssProp:"outline-color",dataAttr:"data-ariareader-inline-outline"},"stop-color":{customProp:"--ariareader-inline-stopcolor",cssProp:"stop-color",dataAttr:"data-ariareader-inline-stopcolor"}}}},function(e,t,n){var i=n(55),o=n(20),a=n(69),s=n(44),c=n(13),u=n(3),l=n(10),d=n(32);e.exports={checkLoadData:function(){var r=c.appid;return new d(function(t,e){var n=new l("#"+i.getScriptsId()).attr("loadData")||o.loadData();null!=n&&void 0!==n?t(JSON.parse(n)):a.getService().then(function(){a.get(s.api.loadData,{appid:r}).then(function(e){o.loadData(e),t(e)},function(e){o.loadData(!1),t(!1)})})})},showMobileOldFixedbtnDiv:function(){var r=c.appid;return new d(function(t,e){var n;u.isMobile()?null!=(n=o.checkAutoFixedBtn())&&void 0!==n?t(n):0<document.getElementsByTagName("aria-autofixedbtn").length?(o.checkAutoFixedBtn(!0),t(!0)):a.getService().then(function(){a.get(s.api.checkAutoFixedBtn,{appid:r}).then(function(e){o.checkAutoFixedBtn(e),t(e)})}):(o.checkAutoFixedBtn(!1),t(!1))})},wapForceOldFixed:function(){var r=c.appid;return new d(function(t,e){var n=new l("#"+i.getScriptsId()).attr("wapForceOldFixed")||o.wapForceOldFixed();null!=n&&void 0!==n?t(JSON.parse(n)):a.getService().then(function(){a.get(s.api.wapForceOldFixed,{appid:r}).then(function(e){o.wapForceOldFixed(e),t(e)},function(e){o.wapForceOldFixed(!1),t(!1)})})})},loadMobileCss:function(){var r=c.appid;return new d(function(t,e){var n=c.newMobileCss()||c.mobileCss;null!=n&&void 0!==n&&""!=n?t(n):a.getService().then(function(){a.get(s.api.loadMobileCss,{appid:r}).then(function(e){c.newMobileCss(e),t(e)},function(){c.newMobileCss("body{}"),t(data)})})})},loadPcCss:function(){var r=c.appid;return new d(function(t,e){var n=c.newPcCss()||c.oldFixedCss;null!=n&&void 0!==n&&""!=n?t(n):a.getService().then(function(){a.get(s.api.loadPcCss,{appid:r}).then(function(e){c.newPcCss(e),t(e)},function(){c.newPcCss("body{}"),t(data)})})})},ariaStart:function(){var e=c.appid;navigator.onLine&&a.getService().then(function(){a.get(s.api.start,{appid:e,_v:Math.random()}).then(function(e){},function(){})})}}},function(e,t,n){function i(e){return(i="function"==typeof Symbol&&"symbol"==typeof Symbol.iterator?function(e){return typeof e}:function(e){return e&&"function"==typeof Symbol&&e.constructor===Symbol&&e!==Symbol.prototype?"symbol":typeof e})(e)}var o=n(20),r=n(55),a=n(115);r.keys().status;function s(e,t){if(!e||!t)return!1;t.keyCode||(t={keyCode:t});var n=e.keyCode||e.which||e.charCode;if(17!=n&&18!=n){if("undefined"==typeof t.status&&(t.status=!0),t.status&&!o.status())return!1;if(n){var r=a.getDisableShortKeys();if(!(0<r.length&&-1<[].indexOf.call(r,n)))if("number"!=typeof t.keyCode||t.keyCode==n)if(!("object"==i(t.keyCode)&&[].indexOf.call(t.keyCode,n)<0))return r=e.ctrlKey,n=e.shiftKey,e=e.altKey,!(t.ctrlKey&&!r||null!=t.shiftKey&&t.shiftKey&&!n||t.altKey&&!e)}}}var c={wakeup:{shiftKey:!1,ctrlKey:!0,altKey:!1,status:!1,keyCode:192},wakupConfig:{shiftKey:!1,ctrlKey:!0,altKey:!0,status:!0,keyCode:76},dialogClose:{shiftKey:!1,ctrlKey:!1,altKey:!1,keyCode:27},changeRegion:{next:{shiftKey:!1,ctrlKey:!0,altKey:!0,status:!0,keyCode:[34,40]},pre:{shiftKey:!1,ctrlKey:!0,altKey:!0,status:!0,keyCode:[33,38]}},opVoice:{shiftKey:!1,ctrlKey:!0,altKey:!0,status:!0,keyCode:86},vocierate:{shiftKey:!1,ctrlKey:!0,altKey:!0,status:!0,keyCode:75},mouseb:{shiftKey:!1,ctrlKey:!0,altKey:!0,keyCode:77},mouseten:{shiftKey:!1,ctrlKey:!0,altKey:!0,keyCode:78},reset:{shiftKey:!1,ctrlKey:!0,altKey:!0,keyCode:67},readsrc:{shiftKey:!1,ctrlKey:!0,altKey:!0,status:!1,keyCode:82},bigsrc:{shiftKey:!1,ctrlKey:!0,altKey:!0,keyCode:66},readtype:{shiftKey:!1,ctrlKey:!0,altKey:!0,keyCode:70},exitservice:{shiftKey:!1,ctrlKey:!0,altKey:!0,keyCode:69},changeTheme:{shiftKey:!1,ctrlKey:!0,altKey:!0,keyCode:84},fontTob:{shiftKey:!1,ctrlKey:!0,altKey:!0,keyCode:[187,107]},fontTos:{shiftKey:!1,ctrlKey:!0,altKey:!0,keyCode:[189,109]},help:{shiftKey:!1,ctrlKey:!0,altKey:!0,keyCode:191},showImg:{shiftKey:!1,ctrlKey:!1,altKey:!0,keyCode:[57,105]},showQrcode:{shiftKey:!1,ctrlKey:!1,altKey:!0,keyCode:[48,96]},openOldFixed:{status:!1,ctrlKey:!0,altKey:!0,keyCode:79}};e.exports={eventKeyCode:function(e){return e.keyCode||e.which||e.charCode},checkKeyCode:s,keyCodeSettings:c,toWakeUpRead:function(e){var t=e.altKey,n=e.ctrlKey,r=e.shfitKey,i=e.keyCode||e.which||e.charCode,o=a.getDisableShortKeys();if(!(0<o.length&&-1<[].indexOf.call(o,i)))return t&&(48<=i&&i<=57||96<=i&&i<=105)?!n&&!r||void 0:!!s(e,c.readsrc)}}},function(e,t,n){var r=n(13),i=(n(10),n(172)),o=n(377),a=n(287),s=n(20),c=function c(e){o.check()&&(e=e||document,document.addEventListener("keydown",u))};function u(e){var t;window.canRead=!0,(e=e).keyCode||e.which||e.charCode,t=e.shiftKey,a.checkKeyCode(e,i.keyCodeSettings.wakeup)?(t&&r.clearAll(),r.status?window[window.ariaSdkName].end():window[window.ariaSdkName].start()):(a.checkKeyCode(e,i.keyCodeSettings.openOldFixed),a.checkKeyCode(e,i.keyCodeSettings.openOldFixed)?(t&&r.clearAll(),r.status&&s.oldFixedStatus?window[window.ariaSdkName].end():(window[window.ariaSdkName].end(),window[window.ariaSdkName].oldFixedStart())):!r.status&&a.toWakeUpRead(e)&&(r.voice.enable=!1,r.readsrc=!0,window[window.ariaSdkName].start()))}e.exports={start:c,end:function(){document.removeEventListener("keydown",u)},keydown:u}},function(e,t,n){var r=n(279),i=n(387),o=n(313),a=n(13),s=n(290),c=(n(10),n(72)),u=n(311),l=n(389),d=n(23),f=n(288),p=n(224),h=n(314);n(118);function g(e){i.start(e),r.start(e),o.start(e),s.start(e),a.mouseten&&u.start(e),a.bigpoint&&(c.setMouseb(e),c.seGolabFixedCss(e)),e==document&&(h.doEvent(document,m),h.start(m),l.iframeMouse(e)),e!=document&&a.status&&f.start(e)}function m(t){t=t||document,p.initCorsCss(t).then(function(e){g(t)},function(e){g(t)})}e.exports={start:m,end:function(e){e=e||document,i.end(e),r.end(e),o.end(e),s.end(e),a.mouseten&&u.end(e),a.bigpoint&&(c.setMouseb(e),c.seGolabFixedCss(e),e!=document)&&a.status&&f.end(e)},startBigMouse:function(){c.setMouseb(document),d.getAll(document,function(e){c.setMouseb(e)})},endBigMouse:function(){c.removeMouseb(),d.getAll(document,function(e){c.removeMouseb(e)})},startMouseTen:function(){u.start(),d.getAll(document,function(e){u.start(e)})},endMouseTen:function(){u.end(),d.getAll(document,function(e){u.end(e)})},setSettingTheme:function(){c.setSettingTheme(),d.getAll(document,function(e){c.setSettingTheme(e)})}}},function(e,t,n){var f,r,p,h=n(10),g=n(172),m=n(23),v=["aria-message","aria-error","aria-success"],b=n(159),y=(n(72),n(50)),i=window.MutationObserver||window.WebKitMutationObserver||window.MozMutationObserver,w=!0,x=1e3,S=!1;function o(e){if(void 0!==e){w||(x=100),p="";var t=g.checkDialogShow(),n=[],r=new h(document.activeElement);if(t&&0<t.length&&!r.aria.dialog)document.activeElement.blur(),t.aria.tabindex=0,t.focus();else{for(var i=[],o=0;o<e.length;o++){var a,s=e[o],c=s.type,u=s.target;switch(c){case"childList":if(s.addedNodes&&0<s.addedNodes.length)for(var l=0;l<s.addedNodes.length;l++){var d=s.addedNodes[l];0<new h(d).closest("#__vconsole").length||1==d.nodeType&&[].indexOf.call(["SCRIPT","I","STYLE","FONT","TEXT"],d.nodeName)<0&&i.push(s)}break;case"attributes":-1<[].indexOf.call(v,s.attributeName)&&(a=new h(u).attr(s.attributeName))&&[].indexOf.call(n,u)<0&&(p+=f[s.attributeName]+a)}}0<i.length&&!S&&(S=!0,A(),k=setTimeout(function(){b.starAll().then(function(){C(document),m.getAll(document,function(e){C(e)})}),S=!1,clearTimeout(k)},x)),0<p.length&&y.play(p)}}}var k=null;function C(e){e=e||document,!r&&i&&(r=new i(o)).observe(e,{childList:!0,subtree:!0,attributes:!1})}function A(){r&&(r.disconnect(),r=null)}e.exports={start:C,end:A,MutationObserver:i}},function(e,t,n){var r,i=n(72),o=n(159),a=n(13),s=n(78),c=n(225),u=n(10),l=!1,d=n(50),f=n(160),p=n(23),h=n(224),g=n(316),m=n(286),v=n(115),b=n(20),y=n(318),w=n(290),x=n(397),S=n(314),k=n(313);function C(e){a.disabledInMobile||(c.setHasOldFixed(e),o.start(e),x.start(e))}function A(){i.start(document),p.getAll(document,function(e){i.start(e)}),v.callbackStartLoaded(),b.oldFixedStatus&&v.callbackfixed()}e.exports={start:function(e){a.disabledInMobile||top==self&&(y.start(),w.start(),k.start(),f.checkViewport(),i.addariaiconstyle(),d.start(),l=!0,r||(clearInterval(r),r=null),c.start(),s.init().then(function(){o.starAll().then(function(){a.status=!0,x.start(document),h.initCorsCss().then(function(){A()},function(){A()}),S.doEvent(document,C),S.start(C),2==a.readtype&&a.voice.enable&&d.play(new u("#ariaTipText"))})}))},end:function(){y.end(),w.end(),k.end();try{d.stop(),d.end()}catch(e){}r||(clearInterval(r),r=null);try{g.mobileRemoveListener()}catch(e){}g.ariaExitOldFixed();try{o.end()}catch(e){}x.endAll(),a.status=!1,i.end(document),p.getAll(document,function(e){i.end(e)})},getMobileStart:function(){return l},noStart:function(){top!=self||a.disabledInMobile||m.wapForceOldFixed().then(function(e){e?s.initConfig().then(function(){a.disabledInMobile||(b.oldFixedStatus=!0,w.start(),o.starAll().then(function(){a.wapForceOldFixed()&&(f.checkViewport(),c.start(),i.start())}))}):m.checkLoadData().then(function(e){e&&s.initConfig().then(function(){w.start(),o.starAll().then(function(){})})})})},IframeStart:C}},function(e,t,n){var r,i=n(10),o=n(20),a=n(13),s=n(3),c=n(23),u=n(396),l=u("[onclick^='aria.oldFixedStart()'],[onclick^='aria.oldFixedEnd()'],[onclick^='top.aria.oldFixedStart()'],[onclick^='top.aria.oldFixedEnd()'],[onclick^='aria.ofStart()'],[onclick^='aria.ofEnd()'],[onclick^='top.aria.ofStart()'],[onclick^='top.aria.ofEnd()']");function d(e){s.each(e,function(e,t){var t=new i(t),n=(t.removeClass("ariaHidevisibility"),t.removeClass("ariaHide"),t.attr("openText"));n&&t.html(decodeURI(n))})}function f(e){s.each(e,function(e,t){t=new i(t);"none"==t.attr("mobilehide")&&t.addClass("ariaHide"),"hidden"==t.attr("mobilehide")&&t.addClass("ariaHidevisibility"),"false"!=t.attr("clickhide")&&t.addClass("ariaHide"),t.attr("closeText")&&t.html(t.attr("closeText"))})}function p(e){var t;0<new i(e.body).find("aria-audio").length&&null==e.ariaPlayer&&((t=e.createElement("script")).id="ariaAudios",t.src=a.road+"ariaAudio.js",e.body.appendChild(t))}e.exports={getBodyStatus:function(){var e=new i("body");return{status:JSON.parse(e.attr("aria-status")),ofStatus:JSON.parse(e.attr("aria-ofStatus"))}},setBodyStatus:function(e,t){void 0!==e&&null!=e||(e=o.status()||!1),void 0!==t&&null!=t||(t=o.oldFixedStatus||!1);var n=new i("body");n.attr("aria-status",e),n.attr("aria-ofStatus",t),e?t?(d(r),f(l),r.attr("onclick","top.aria.start()"),l.attr("onclick","top.aria.ofEnd()"),new i(".ariaOldFixedbtnDiv").addClass("ariaHide")):(f(r),d(l),r.attr("onclick","top.aria.end()"),l.attr("onclick","top.aria.ofStart()")):(r.attr("onclick","top.aria.start()"),l.attr("onclick","top.aria.ofStart()"),new i(".ariaOldFixedbtnDiv").removeClass("ariaHide"),d(r),d(l))},setBtnFor:function(){u("#cniil_wza,#cnwza,.cnwza").attr("onclick","top.aria.start();"),(r=u("#cniil_wza,#cnwza,.cnwza,[onclick^='aria.start()'],[onclick^='aria.end()'],[onclick^='top.aria.start()'],[onclick^='top.aria.end()']")).attr("for",s.isMobile()?"ariaslh":"wza"),l.attr("for","ariaslh"),s.isMobile()&&(r=u("#cniil_wza121212")),l=u("[for='ariaslh']"),s.each(r,function(e,t){t.getAttribute("closeText")&&t.setAttribute("openText",encodeURI(t.innerHTML))}),s.each(l,function(e,t){t.getAttribute("closeText")&&t.setAttribute("openText",encodeURI(t.innerHTML))})},checkAndLoadAriaPlayerJs:function(){p(document),c.getAll(document,function(e){p(e)})}}},,,,,,,,,,function(e,t,n){var h=n(20),r=n(10),g=n(3),m=n(358),v=n(117),o=18;function b(e){if(e)try{var t=e.style;if(e.parentStyleSheet.ownerNode.getAttribute("aria-SkipFontScale"))return"";var n=parseInt(t["font-weight"]||0),r=v.RealSizePx(t["font-size"]);if(o<=r&&r<30||r<o&&400<n)return e.selectorText}catch(i){}}function y(e){var t=e.style.fontSize,t=v.RealSizePx(t);if(t&&o<=t&&t<30)return(t=new r(e)).hasClass("contentTitle")&&"contentTitle"==e.getAttribute("role")||t.addClass("contentTitle"),""}function w(e){if(e)try{var t=e.style;if(e.parentStyleSheet.ownerNode.getAttribute("aria-SkipFontScale"))return"";var n=parseInt(t["font-weight"]||0),r=v.RealSizePx(t["font-size"]);if(0<r&&r<o&&n<=400)return e.selectorText}catch(i){}}function x(e){var t=v.RealSizePx(e.style.fontSize);if(t&&0<t&&t<o)return(t=new r(e)).hasClass("contentText")&&"contentText"==e.getAttribute("role")||t.addClass("contentText"),""}var S=new Map;var k=new Map;var C=0,A=!1;function T(e){if(e)try{var t=e.style;if(e.selectorText.indexOf(".searchtext"),30<=v.RealSizePx(t["font-size"]))return e.selectorText}catch(n){}}function E(e){var t=e.style.fontSize;return!t.indexOf("%")&&t&&30<=parseInt(t,10)?(e.id||(e.id=g.genID()),"#"+e.id):void 0}var O=new Map;e.exports={setFont:function(e){if(g.isMobile())return"";if(h.oldFixedStatus){var t,n,r=e.styleSheets.length,i=(C!=r&&(C=r,A=!0),"\r\n/**   设置全局正文字体开始   */\r\n"),o=(r=e,A&&S.clear(),(t=r.body.getAttribute("id"))||(t=g.genID(),r.body.setAttribute("id",t)),v.createElemStyle(x,[],r),0<(n=S[t]||[]).length||((n=v.create(w,r)).push(".contentText"),n.push("[role='contentText']"),n.push("[role='contentText'] *"),n.push("[aria-regiontype='6']"),n.push("[aria-regiontype='6'] *"),n.push("[aria-fontsize='normal']"),S.set(t,n)),n),a=function(e){A&&O.clear();var t=e.body.getAttribute("id");t||(t=g.genID(),e.body.setAttribute("id",t));v.createElemStyle(E,[],e);var n=O[t]||[];return 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r(e).cssPath(!0)}var h=new Map;var g=0,m=!1;e.exports={setWidth:function(e){for(var t,n,r="",i=(r+="\r\n/**   设置页面单列开始   */\r\n",e.styleSheets.length),o=(g!=i&&(g=i,m=!0),i=e,m&&h.clear(),(t=i.body.getAttribute("id"))||(t=c.genID(),i.body.setAttribute("id",t)),0<(n=h[t]||[]).length||(n=u.createElemStyle(p,[],i),n=u.create(f,i,n),(n=u.create(d,i,n)).push("[aria-singleCol=true]:not([role='unset']):not([role='rotationchar'])"),n.push(".ariaSingle100"),h.set(t,n)),n),a=u.prefix.useOldFixed(e),s=0;s<o.length;s++)r+=a+" "+o[s]+":not(.skipAutoFix)"+l;return r=r+(u.media(0,1366)+"{")+"\r\n/**   设置页面body和html  */\r\n   html,body{width:100%;min-width:100%; max-width:100%;   }}",0<(i=a.trim()+":not(.ariaiframe)>*:not([isaria]):not(.skipAutoFix)").length&&(r=(r=(r+=i+"{width:80% !important;margin:0 auto;max-width:1400px !important;}")+u.media(0,u.width100ScreenWidth)+"{")+i+"{width:100% !important;margin:0 auto;padding-left: 5px !important;padding-right: 5px !important;box-sizing: 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o=d.create(h),o=d.createElemStyle(g,o),a=d.create(f.setContentFont,e),s=d.create(f.setTitleFont),c=[],u=0;u<o.length;u++){var l=o[u];[].indexOf.call(a,l)<0&&[].indexOf.call(s,l)<0&&c.push(l)}return m.set(t,c),c}(e);if(0==t.length)return"";for(var n="\r\n/**   设置高度开始   */\r\n",r=d.prefix.useOldFixed(e),i=d.height(36),o=0;o<t.length;o++)n+=r+" "+t[o]+":not(.skipAutoFix)"+i;n+=d.media(769,1366)+"{";for(var a=d.height(28),o=0;o<t.length;o++)n+=r+" "+t[o]+":not(.skipAutoFix)"+a;for(var n=(n+="}")+(d.media(0,768)+"{ "),s=d.height(18),o=0;o<t.length;o++)n+=r+" "+t[o]+":not(.skipAutoFix)"+s;return n+="}"}}},function(e,t,n){var m=n(10),v=n(3),b=n(117);e.exports={havle:function(e){for(var t=[],n=(new m(e.body).find("#autohavle").html(""),parseFloat(new m(e.body).css("width"))),r=document.documentElement.clientWidth,i=(t=(n=r<n?r:n)<769||v.isMobile()?new m(e.body).find("[aria-wapcols]"):new m(e.body).find("[aria-cols]"),n>b.width100ScreenWidth&&(n*=.8),1400<n&&(n=1400),v.isMobile()&&(n-=10),b.prefix.useOldFixed(e)),o="",a=0;a<t.length;a++){for(var s=new m(t.nodeList[a]),c=s.attr("id"),c=(c||(c=v.genID(),s.attr("id",c)),"#"+c),u=new m(s.parent()),u=(parseInt(u.css("padding-left")),parseInt(u.css("padding-right")),parseInt(u.css("border"),10),1),l=10,d=(n<=768||v.isMobile()?(u=parseInt(s.ariaAttr("wapcols")),l=5):u=parseInt(s.ariaAttr("cols")),"100%"),f=(o=(o=(o=(o=(o=(o=(o=(o=(o=(o+=i+"  "+c+" {")+"transition:none !important;"+"transform:none !important;")+"}"+(i+"  "+c+">:nth-child(n)>:first-child {"))+"margin:0;"+"}")+(i+"  "+c+" br {")+"display:none;")+"}"+(i+"  "+c+">:nth-child(n) {"))+"   clear: none !important;"+"   float: left;")+("   width: "+(d=1<u?"calc((100% - "+(u-1)*l+"px)/"+u+")":d)+" !important;")+("   margin-right: "+l+"px !important;"))+("   margin-bottom: "+l+"px !important;")+("   margin-top: "+l+"px !important;"))+"   box-sizing: border-box;margin-left:0;"+"   text-align: center;",s.ariaAttr("colsUseShadow")&&(o+="   box-shadow:0px 8px 10px -1px rgb(203 180 134 / 42%);"),o=o+"   border-radius:6px;"+"}","true"==s.ariaAttr("colsfirstmerge")&&2<u?o=o+(i+c)+">:nth-child("+(u-1)+"n+"+u+" )  {":o+=b.prefix.useOldFixed(e)+"  "+c+">:nth-child("+u+"n)  {",o=o+"margin-right: 0 !important;"+"}",0),p=s.child(),h=0;h<p.length;h++)null!=p[h].offsetParent&&(f+=1);var d=Math.ceil(f/u),g=("true"==s.ariaAttr("colsfirstmerge")&&(--f,d=Math.ceil(f/(u-1))),o+=b.media(0,768)+"{","true"==s.ariaAttr("colsfirstmerge")&&2<u&&(o=(o=o+(i+c)+">:first-child,  "+i+c+">:first-child>:first-child {height:"+(40*d+2*l)+"px !important;")+"line-height:"+(40*d+2*l)+"px !important;}"),(40+2*l)*d);o=(o=(o+=i+"  "+c+" {")+("min-height:"+g+"px ;")+"}}")+(b.media(769,1366)+"{"),g=(56+2*l)*d,"true"==s.ariaAttr("colsfirstmerge")&&2<u&&(o=(o=o+(i+c)+">:first-child,  "+i+c+">:first-child>:first-child {height:"+(56*d+2*l)+"px !important;")+"line-height:"+(56*d+2*l)+"px !important;}"),o=(o=(o+=i+"  "+c+" {")+("min-height:"+g+"px ;")+"}}")+(b.media(1367,5120)+"{"),g=(72+2*l)*d,"true"==s.ariaAttr("colsfirstmerge")&&2<u&&(o=(o=o+(i+c)+">:first-child,  "+i+c+">:first-child>:first-child {height:"+(72*d+2*l)+"px !important;")+"line-height:"+(72*d+2*l)+"px !important;}"),o=(o+=i+"  "+c+" {")+("min-height:"+g+"px ;")+"}}",s.ariaAttr("colsfirstmerge")}v.appendCss(e,"autohavle",o)}}},function(e,t,n){var a=n(10),s=n(3),c=n(117),n="{",n=((n+="    height: 60px !important;")+"    line-height: 60px;"+"    font-size:32px !important;"+"    clear: both;"+"    width: 60% !important;"+"    margin: 20px auto;"+"    text-align: center;"+"    float: none !important;"+"}","{");n+="    width: 85% !important;";e.exports={tsearch:function(r){new a(r.body).find("#autoSearchbox").html("");var e=new a(r.body).find('[role="searchbox"]'),i="",o=parseInt(new a(r.body).css("width"));s.each(e,function(e,t){var n=t.getAttribute("id"),t=(n||(n=s.genID(),t.setAttribute("id",n)),c.prefix.useOldFixed(r)+"  #"+n);i=i+(t+" form{position: relative;overflow:hidden;}")+t,i=768<o?(i+="{    height: 60px !important;    line-height: 60px;    font-size:32px !important;    clear: both;    width: 60% !important;    margin: 20px auto;    text-align: center;    float: none !important;}")+t+" input{box-sizing:border-box;height:56px !important;;line-height:56px;border-radius:28px;font-size:30px;width:100% !important;padding-left:25px;    position: relative;}"+t+" button,"+t+" [role='button']{height:56px !important;border-radius:0 28px 28px 0;padding-right:28px;font-size:30px;line-height:56px; position:absolute;display:inline-block;box-sizing:border-box;right:0;}":(i+="{    width: 85% !important;    float: none !important;    font-size:18px !important;    margin: 20px auto;    clear: both;    text-align: center;    height: 40px;    line-height: 40px;}")+t+" input{box-sizing:border-box;height:36px !important;;line-height:36px;font-size:18px;width:100% !important;border-radius:18px;padding-left:18px;    position: relative;}"+t+" button,"+t+" [role='button']{height:36px !important;border-radius:0 18px 18px 0;padding-right:18px; font-size::18px;line-height:36px;position:absolute;display:inline-block;box-sizing:border-box;right:0;}"}),s.appendCss(r,"autoSearchbox",i)}}},function(e,t,n){var s=n(13),c=(n(23),n(10)),u=n(3),l=n(117);e.exports={RegionListCss:function(e){if(s.oldFixedStatus||u.isMobile()){for(var t="",n=(new c(e.body).find("#regiontyp5").html(""),new c(e.body).find('[aria-regiontype="5"]')),r=l.prefix.useOldFixed(e),i=0;i<n.length;i++){var o=new c(n.nodeList[i]),a=o.ariaAttr("id"),o=(a||(a=u.genID(),o.ariaAttr("id",a)),o.ariaAttr("controls"));o&&(t+=r+" #"+a+" "+o+"{display:flex;display:-ms-flexbox;}")}u.appendCss(e,"regiontyp5",t)}}}},function(e,t,n){var i=n(10),o=n(3),a=n(117),n="{",n=((n+="    min-height: 80px !important;")+"    line-height: 80px;"+"    font-size:40px !important;"+"    width: 60% !important;"+"    clear: both;"+"    margin: 0 auto;"+"    text-align: center;"+"    float: none !important;"+"    display: block;"+"    overflow: hidden;"+"}","{");n+="    width: 85% !important;",e.exports={tlogo:function(e){new i(e.body).find("#autoLogobox").html("");var t=a.prefix.useOldFixed(e)+' [role="logobox"]',n=t,r=parseInt(new i(e.body).css("width"));o.appendCss(e,"autoLogobox",n=n+(768<r?"{    min-height: 80px !important;    line-height: 80px;    font-size:40px !important;    width: 60% !important;    clear: both;    margin: 0 auto;    text-align: center;    float: none !important;    display: block;    overflow: hidden;}":"{    width: 85% !important;    font-size:24px !important;    margin: 0 auto;    clear: both;    text-align: center;    min-height: 48px;    line-height: 48px;    float: none !important;    display: block;    overflow: hidden;}")+(t+" img{width:100%;}"))}}},function(e,t){var o,n;o="ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/",n={rotl:function(e,t){return e<<t|e>>>32-t},rotr:function(e,t){return e<<32-t|e>>>t},endian:function(e){if(e.constructor==Number)return 16711935&n.rotl(e,8)|4278255360&n.rotl(e,24);for(var t=0;t<e.length;t++)e[t]=n.endian(e[t]);return e},randomBytes:function(e){for(var t=[];0<e;e--)t.push(Math.floor(256*Math.random()));return t},bytesToWords:function(e){for(var t=[],n=0,r=0;n<e.length;n++,r+=8)t[r>>>5]|=e[n]<<24-r%32;return t},wordsToBytes:function(e){for(var t=[],n=0;n<32*e.length;n+=8)t.push(e[n>>>5]>>>24-n%32&255);return t},bytesToHex:function(e){for(var t=[],n=0;n<e.length;n++)t.push((e[n]>>>4).toString(16)),t.push((15&e[n]).toString(16));return t.join("")},hexToBytes:function(e){for(var t=[],n=0;n<e.length;n+=2)t.push(parseInt(e.substr(n,2),16));return t},bytesToBase64:function(e){for(var t=[],n=0;n<e.length;n+=3)for(var r=e[n]<<16|e[n+1]<<8|e[n+2],i=0;i<4;i++)8*n+6*i<=8*e.length?t.push(o.charAt(r>>>6*(3-i)&63)):t.push("=");return t.join("")},base64ToBytes:function(e){e=e.replace(/[^A-Z0-9+\/]/gi,"");for(var t=[],n=0,r=0;n<e.length;r=++n%4)0!=r&&t.push((o.indexOf(e.charAt(n-1))&Math.pow(2,-2*r+8)-1)<<2*r|o.indexOf(e.charAt(n))>>>6-2*r);return t}},e.exports=n},function(e,t){function n(e){return!!e.constructor&&"function"==typeof e.constructor.isBuffer&&e.constructor.isBuffer(e)}e.exports=function(e){return null!=e&&(n(e)||"function"==typeof(t=e).readFloatLE&&"function"==typeof t.slice&&n(t.slice(0,0))||!!e._isBuffer);var t}},function(e,t,n){var f=n(69),p=n(44),h=n(304),o=new Map,g=window.sessionStorage,r=n(32);n(3);e.exports={downloadCss:function(d){return new r(function(n,e){var t=[],r=[],i=[];"string"==typeof d&&(d=[d]);for(var o=0;o<d.length;o++){var a=d[o];if(0<a.indexOf("??")){var s=a.split("??");if(0<s[1].indexOf(".css"))for(var c=s[1].split(","),o=0;o<c.length;o++){var u=c[o];t.push(s[0]+u)}else t.push(a)}else t.push(a)}for(o=0;o<t.length;o++){var u=t[o],l=g.getItem(h(u));u.startsWith("file:")?i.push({name:u,value:function(e){if(window.webkit!=undefined)null!=window.webkit.messageHandlers.getFileContent&&window.webkit.messageHandlers.getFileContent.postMessage(e);else if("undefined"!=typeof OldFix&"function"==typeof OldFix.getFileContent)return OldFix.getFileContent(e)}(u)}):l?i.push({name:u,value:l}):r.push(u)}0<r.length?f.post(p.api.corsCss,{Hrefs:r}).then(function(e){for(var t in e)g.setItem(h(t),e[t]),i.push({name:t,value:e[t]});n(i)}):n(i)})},downloadPicBlob:function(n){return new r(function(e,t){n.startsWith("data:")?e(n):o[n]&&e(o[n])})["catch"](function(e){})},downloadPicImage:function(i){return new r(function(n,t){var r;i.startsWith("data:")?n(i):o[i]?n(o[i]):((r=new Image).onload=function(){(t=document.createElement("canvas")).width=r.width,t.height=r.height;t.getContext("2d").drawImage(r,0,0,r.width,r.height);var e=t.toDataURL("image/png"),t=null;o.set(i,e),n(e)},r.onerror=function(e){t(e)},r.src=i)})}}},function(e,t,n){var l=n(10),d=n(282),n=n(285).overrides,f=Object.values(n);function p(e){var t=e.element,n=e.item,r=e.value,e=e.oldValue;e&&t.setAttribute(n.dataAttr,e),t.getAttribute(n.cssProp)?t.setAttribute(n.cssProp,r):t.style.setProperty(n.cssProp,r),t.style.setProperty(n.customProp,r)}e.exports={getInlineOverrideStyle:function(){for(var e=[],t=0;t<f.length;t++){var n=f[t];e.push("["+n.dataAttr+"] {","  "+n.cssProp+": var("+n.customProp+") !important; ","} ")}return e.join("\n")},setInlineData:function(e,t){for(var n=new l(t.body).find("[style],[fill],[stop-color],[stroke],[bgcolor],[color]"),r=0;r<n.length;r++){var i=n[r],o=new l(i);if(!("false"==i.getAttribute("data-settheme")||0<o.closest("[data-settheme='false']").length)&&!i.getAttribute("isaria")){i.getAttribute("bgcolor")&&(i.style["background-color"]=i.getAttribute("bgcolor"));for(var a=0;a<f.length;a++){var s,c,u=f[a];"background"==u.cssProp&&i.style.getPropertyValue("background")==i.style.getPropertyValue("background-color")||null!=(s=i.getAttribute(u.dataAttr)||i.style.getPropertyValue(u.cssProp)||i.style[u.cssProp]||i.getAttribute(u.cssProp))&&(c=d.getStyleColorValue({value:s,theme:e,cssProp:u.cssProp}))&&p({element:i,item:u,oldValue:s,value:c})}}}},end:function(e){for(var t=new l(e.body).find("[style],[fill],[stop-color],[stroke],[bgcolor],[color]"),n=0;n<t.length;n++)for(var r=t[n],i=0;i<f.length;i++){var o=f[i],a=r.getAttribute(o.dataAttr);r.style.removeProperty(o.customProp),a&&p({element:r,item:o,value:a})}},overrides:n}},function(e,t,n){var o=n(284);var r={identity:function(){return[[1,0,0,0,0],[0,1,0,0,0],[0,0,1,0,0],[0,0,0,1,0],[0,0,0,0,1]]},invertNHue:function(){return[[.333,-.667,-.667,0,1],[-.667,.333,-.667,0,1],[-.667,-.667,.333,0,1],[0,0,0,1,0],[0,0,0,0,1]]},brightness:function(e){return[[e,0,0,0,0],[0,e,0,0,0],[0,0,e,0,0],[0,0,0,1,0],[0,0,0,0,1]]},contrast:function(e){var t=(1-e)/2;return[[e,0,0,0,t],[0,e,0,0,t],[0,0,e,0,t],[0,0,0,1,0],[0,0,0,0,1]]},sepia:function(e){return[[.393+.607*(1-e),.769-.769*(1-e),.189-.189*(1-e),0,0],[.349-.349*(1-e),.686+.314*(1-e),.168-.168*(1-e),0,0],[.272-.272*(1-e),.534-.534*(1-e),.131+.869*(1-e),0,0],[0,0,0,1,0],[0,0,0,0,1]]},grayscale:function(e){return[[.2126+.7874*(1-e),.7152-.7152*(1-e),.0722-.0722*(1-e),0,0],[.2126-.2126*(1-e),.7152+.2848*(1-e),.0722-.0722*(1-e),0,0],[.2126-.2126*(1-e),.7152-.7152*(1-e),.0722+.9278*(1-e),0,0],[0,0,0,1,0],[0,0,0,0,1]]}};e.exports={createFilterMatrix:function(e){var t=r.identity();return 0!==e.sepia&&(t=(0,o.multiplyMatrices)(t,r.sepia(e.sepia/100))),0!==e.grayscale&&(t=(0,o.multiplyMatrices)(t,r.grayscale(e.grayscale/100))),0==e.contrast&&(e.contrast=95),100!==e.contrast&&(t=(0,o.multiplyMatrices)(t,r.contrast(e.contrast/100))),100!==e.brightness&&(t=(0,o.multiplyMatrices)(t,r.brightness(e.brightness/100))),t=1===e.mode?(0,o.multiplyMatrices)(t,r.invertNHue()):t},applyColorMatrix:function(e,t){var n=e[0],r=e[1],e=e[2],i=(0,o.multiplyMatrices)(t,[[n/255],[r/255],[e/255],[1],[1]]);return[0,1,2].map(function(e){return(0,o.clamp)(Math.round(255*i[e][0]),0,255)})},Matrix:r}},function(e,t,n){var s=n(307),c="gradient".length,u="conic-",l=u.length;e.exports={parseGradient:function(t){for(var n,r,e=[],i=u.length;-1!==(n=t.indexOf("gradient",i))&&(["linear-","radial-",u].find(function(e){if(0<=n-e.length&&t.substring(n-e.length,n)===e)return"repeating"===t.slice(n-e.length-10,n-e.length-1)?r="repeating-"+e+"gradient":r="-webkit"===t.slice(n-e.length-8,n-e.length-1)?"-webkit-"+e+"gradient":e+"gradient",!0}),r);){var o=(a=s.getParenthesesRange(t,n+c)).start,a=a.end,o=t.substring(o+1,a-1),i=a+1+l;e.push({typeGradient:r,match:o,offset:r.length+2,index:n-r.length+c,hasComma:!0})}return e.length&&(e[e.length-1].hasComma=!1),e}}},function(e,t,n){var h=n(10),g=n(3),m=n(372),v=n(282),b=n(224),y=n(13),w=n(285);e.exports={createStaticStyleOverrides:function(e,t){var n,r,i=b.createOrUpdateStyleAria("ariareader--user-agent",t),o="body.useOldFixed [aria-fixedOldHidden=true],.ariaHide{display:none !important;}:focus{outline:none !important;}",a=".ariaTabShow{visibility: visible !important; opacity: 1 !important; display: block !important;}";if(a+=o,e&&void 0!==e&&y.checkSetTheme(e)?i.textContent=a+v.getModifiedUserAgentStyle(e,!1,!0)+(n=w.overrides,r=[],g.each(n,function(e,t){r.push("["+t.dataAttr+"] {","  "+t.cssProp+": var("+t.customProp+") !important; ","} ")}),r.join("\n")):(y.status?g.IsIos()?a+=".ariafocus { outline: 2px solid rgba(255, 184, 0, 1) !important;  }.ariaregion,[aria-regionActive='true'] { outline: 2px solid #ff6c00; }":a+=".ariafocus { outline: 2px solid rgba(255, 184, 0, 1) !important; transition: outline 250ms; }.ariaregion,[aria-regionActive='true'] { outline: 2px solid #ff6c00; transition: outline 250ms; }":a=".ariafocus{outline:none;}"+o,i.textContent=a),t.querySelector("head").insertBefore(i,t.querySelector("head").firstChild),e){var s=t,c=e;if(new h(s).find(".ariareader--override").remove(),y.checkSetTheme(c)){for(var u=s.styleSheets,l=[],d=0;d<u.length;d++){var f,p=u[d];p.ownerNode.getAttribute("isaria")||((f=p.ownerNode.id)||(f=g.genID(),p.ownerNode.setAttribute("id",f)),(f=b.createOrUpdateStyleAria("ariareader--override",s,p.ownerNode.id)).disabled=!0,p.ownerNode.parentNode.insertBefore(f,p.ownerNode.nextSibling),p.ownerNode.getAttribute("media")&&f.setAttribute("media",p.ownerNode.getAttribute("media")),c?(m.getModifiedCSSStyleSheetStyle(p,c,s,f),l.push(f)):f.textContent="")}new h(s).find(".ariareader--override").prop("disabled",!1)}}},createOverrideText:function(e){var t=b.createOrUpdateStyleAria("ariareader--text",e);t.textContent=' :not(pre, pre *, code, .far, .fa, .glyphicon, [class*="vjs-"], .fab, .fa-github, .fas, .material-icons, .icofont, .typcn, mu, [class*="mu-"], .glyphicon, .icon){  font-family: monospace !important; }',e.querySelector("head").insertBefore(t,e.querySelector("head").firstChild)},createOverrideBgColor:function(e,t){var n=b.createOrUpdateStyleAria("ariareader--invert",t),r="[role='logo'],[aria-imgfilter]";y.elementFilter&&(r+=","+y.elementFilter),n.disabled=!0,n.textContent=r+"{filter:"+v.getCSSFilterValue(e)+"}",t.querySelector("head").insertBefore(n,t.querySelector("head").firstChild)}}},function(e,t,n){var f=n(282),p=n(224);n(283),n(32);function r(e,t,n,r){var i=e.ownerNode.href,o=p.getCssRule(e);if(o&&0!=o.length){for(var a=[],s=0;s<o.length;s++){var c=function(e){var t=e.cssRule,n=e.theme,r=(e.cssUrl,[]),i=[];t.type==CSSRule.MEDIA_RULE?r=t.cssRules:r.push(t);for(var o=0;o<r.length;o++){var a=r[o],s=[];if(a&&a.style&&a.style.length){for(var c=0;c<a.style.length;c++){var u,l=a.style[c],d=a.style[l]||a.style.getPropertyValue(l);!d||-1<String(d).indexOf("var")||"string"==typeof d&&(u="important"==a.style.getPropertyPriority(l)?"!important":"",-1<d.indexOf("url")&&1<p.getCSSURLValue(d).length?"background-image"==l&&"initial"!=a.style["background-color"]&&d.indexOf(".svg")<0&&d.indexOf("transparent")<0&&d.indexOf("data:"):d.indexOf("transparent")<0&&(d=f.getStyleColorValue({value:d.split("!")[0],cssProp:l,theme:n}))&&s.push(l+":"+d+" "+u))}0<(s=s.filter(function(e){return e&&""!=e})).length&&(i.push(a.selectorText+"{"),i.push(s.join(";")),i.push("}"))}}if(0!=i.length)return t.type==CSSRule.MEDIA_RULE&&(i.unshift("@media "+t.media.mediaText+"{"),i.push("}")),i.join("")}({cssRule:o[s],theme:t,cssUrl:i});c&&a.push(c)}0<a.length&&(0<(e=a.join("")).indexOf("url")&&(e=p.replaceCSSImports(a.join(""),i)),r.textContent=e)}}e.exports={getModifiedCSSStyleSheetStyle:r}},function(e,t,n){var r=n(20),i=n(13),o=n(94),n=n(308),a={background:"#181a1b",text:"#e8e6e3"},s={brightness:100,contrast:100,grayscale:0,sepia:0,textStroke:0,scrollbarColor:n.isMacOS?"":"auto",selectionColor:"auto",styleSystemControls:!n.isCSSColorSchemePropSupported,backgroundColor:a.background,color:a.text};e.exports={getTheme:function(){var e;if(i.status)return(e=i.Theme)&&(e.mode=r.mode(),e.brightness=r.brightness(),e.grayscale=r.grayscale(),e.sepia=r.sepia(),e.contrast=r.contrast(),e.color&&""!=e.color||(e.color="black"),e.backgroundColor&&""!=e.backgroundColor||(e.backgroundColor="white")),e?o(s,e):void 0}}},function(e,t,n){var i=n(10),o=n(13),a=n(280),r=n(375),s=(n(376),n(288)),c=n(378),u=n(95),l=n(3),d=n(379),f=n(50),p=n(172);var h=null;function g(e){if(window.ariaFirstOpen=!1,!(new i(e.target).aria.skipall||(window.canRead=!0,u.viewDocument(e)!=document&&s.keydown(e))||2==o.readtype))if(function(e){var t=new i(".ariaBigCenterScale");if(0!=t.length&&27==(e.keyCode||e.which||e.charCode))return 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i(e.body).on("keydown","*",g),new i(e.body).on("keyup","*",m)},end:function(e){e=e||document,new i(e.body).off("keydown","*",g),new i(e.body).off("keyup","*",m)}}},function(e,t,n){var r=n(10),i=n(3),o=n(172);e.exports={doEventTab:function(e){var t,n;return!!o.checkKeyCode(e,9)&&(t=!1,!!(n=o.checkDialogShow()))&&((e=new r(e.target||e.currentTarget)).aria.isDialog||(t=!0),(t=!(!e.aria.dialog||e.aria.dialog.firstNode==n.firstNode)||t)?(i.stopBubble(),i.stopDefault(),!0):void 0)},KeyEsc:function(e){var t=o.eventKeyCode(e),n=!0;(n="dialogclose"==new r(e.target).aria.action&&13==t?!1:n)&&!o.checkKeyCode(e,o.keyCodeSettings.dialogClose)||(t=o.checkDialogShow())&&(0<t.closest(".aria-container").length?new r(".icon-close").click():0<(n=n?t.find("[aria-action='dialogclose']"):new r(e.target)).length?n.click():(t.css("display","none"),t.attr("tabindex",-1)))}}},function(e,t,n){var r=n(172),i=n(10),o=n(158),a=n(95);e.exports={goNext:function(e){var t;r.checkKeyCode(e,r.keyCodeSettings.changeRegion.next)&&(t=new i(e.target,a.viewDocument(e)),0!=(t=new i(t.aria.regionN)).length)&&(o.setClass(t,a.viewDocument(e)),t.focus())},goPre:function(e){var t;r.checkKeyCode(e,r.keyCodeSettings.changeRegion.pre)&&(t=new i(e.target,a.viewDocument(e)),0!=(t=new i(t.aria.regionP)).length)&&(o.setClass(t,a.viewDocument(e)),t.focus())}}},function(e,t,n){var r=n(3);e.exports={check:function(){return!0},browserIE:function(){return"IE"==r.browser.getBrowserInfo().browser}}},function(e,t,n){var s=n(10),c=n(172),u=n(3);n(95);function l(e){var t=null;1==(t=null!=(t=null!=(t="true"==e.ariaAttr("aria-popup")?e.find("a,select,input,[role]"):t)&&0!=t.length?t:e.closest('[aria-popup="true"]').find("a,select,input,[role]"))&&0!=t.length?t:new s(e.parent().child())).length&&(t=new s(e.parent().parent().child()),e=new s(e.parent()));for(var n=t.nodeList.length-1;0<=n;n--)null==t.nodeList[n].offsetParent&&t.nodeList.splice(n,1);return t}e.exports={doEvent:function(e){var t=new s(e.target);if("SELECT"!=t.firstNode.nodeName){var n=e.ctrlKey,r=e.shfitKey,i=e.altKey;if(!(n||r||i))switch(c.eventKeyCode(e)){case 40:case 39:u.stopBubble(e),u.stopDefault(e);var o=t,a=l(o);return(o=o.index(a))==a.length-1?o=0:o+=1,(o=a.nodeList[o]).setAttribute("tabindex",0),o.focus(),u.triggerEvent(o,"mouseover"),!0;case 38:case 37:return u.stopBubble(e),u.stopDefault(e),0!=(o=l(a=t)).length&&((a=a.index(o))<=0?a=o.length-1:--a,(a=o.nodeList[a]).setAttribute("tabindex",0),a.focus(),u.triggerEvent(a,"mouseover")),!0}}}}},function(e,t,n){var s,o,c=n(10),u=(n(3),n(287)),l=n(23),d=n(95);e.exports={showImg:function(e){if(u.checkKeyCode(e,u.keyCodeSettings.showImg)){d.removeCenterScale();var t=new c("img").nodeList;if(l.getAll(document,function(e){e=new c(e).find("img").nodeList;0<e.length&&t.concat(e)}),0!=t.length){for(var n=[],r=0;r<t.length;r++){var i=t[r],o=new c(i),a=o.width(),o=o.height();200<a&&100<o&&i.src&&n.push(i)}0!=n.length&&(r=0,s&&(r=[].indexOf.call(n,s)+1,n.length-1<r)&&(r=0),s=n[r],d.CenterScale(new c(n[r]),1.2))}return!0}},showQrcode:function(e){if(u.checkKeyCode(e,u.keyCodeSettings.showQrcode)){d.removeCenterScale();var t=new c("[role='qrcode']").nodeList;if(l.getAll(document,function(e){e=new c(e).find("[role='qrcode']").nodeList;0<e.length&&t.concat(e)}),0!=t.length){for(var n=[],r=0;r<t.length;r++){var i=t[r];n.push(i)}0!=n.length&&(r=0,o&&(r=[].indexOf.call(n,o)+1,n.length-1<r)&&(r=0),o=n[r],d.CenterScale(new c(n[r]),2))}return!0}}}},function(e,t,n){var r=n(10),i=n(13),o=n(50);function a(e){2!=i.readtype&&(e=new r(e.target),o.play(e))}e.exports={start:function(e){e=e||document,new r(e).on("change","*",a)},end:function(e){e=e||document,new r(e).off("change","*",a)}}},function(e,t,n){var r=n(10),i=n(50),o=n(13),a=n(95),s=n(311),c=(new Date).getTime(),u=null,l=null;function d(e){l&&(clearTimeout(l),l=null)}var f,p={screenX:0,screenY:0};function h(t){var n;o.mouseten&&s.listenMouseTen(t),2==o.readtype||new r(t.target).aria.skipall||c+20>(new Date).getTime()||(c=(new Date).getTime(),a.breakEventsFirst(t))||0!=(n=new r(t.target)).length&&("BODY"==t.target.nodeName?(window.ariaPlayElem=document.body,i.play(document.body.title)):a.breakEvents(n,t)||(l&&(clearTimeout(l),l=null),l=setTimeout(function(){if(a.consolLog("mouseover延迟开始",!0),p.screenX==t.screenX&&p.screenY==t.screenY){if(f&&t==f)return;var e=a.realPlayElem(n);if(e&&0<e.length){if(u&&u.firstNode==e.firstNode)return;u=e,f=t,window.ariaPlayElem=e,i.play(e)}}setTimeout(function(){f=null},500)},100),p.screenX=t.screenX,p.screenY=t.screenY))}e.exports={start:function(e){e=e||document,new r(e).on("mousemove","*:not([aria-hidden='true'])",h),new r(e).on("mouseout","*:not([aria-hidden='true'])",d)},end:function(e){e=e||document,new r(e).off("mousemove","*:not([aria-hidden='true'])",h),new r(e).off("mouseout","*:not([aria-hidden='true'])",d)}}},function(e,t,n){var r=n(10),i=n(50),o=n(13),a=n(95);var s=!0;function c(){s=!1}var u={x:0,y:0};function l(e){var t,n;2!=o.readtype||(t=new r(e.target),a.breakEventsFirst(e))||a.breakEvents(t,e)||(n=e,e=t,2!=o.readtype)||0==e.length||"true"==e.ariaAttr("skipall")||0<e.closest('[aria-skipall="true"]').length||(u={x:n.clientX,y:n.clientY},s=!0,setTimeout(function(){new r(".ariafocus").removeClass("ariafocus"),n.clientX==u.x&&n.clientY==u.y&&s&&(window.ariaPlayElem=n.target,i.play(n.target),setTimeout(function(){},2e4))},4e3))}e.exports={start:function(e){e=e||document,new r(e).on("mousemove",l),e==document&&document.body.addEventListener("mouseout",c)},end:function(e){e=e||document,new r(e).off("mousemove",l),e==document&&document.body.removeEventListener("mouseout",c)}}},function(e,t,n){var r=n(264),i=n(72);function o(){window.addEventListener("resize",c)}function a(){r.end(),window.removeEventListener("resize",c)}var 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t=p.py;e&&((p.py=!t)?h.play("拼音已启用"):h.play("拼音已关闭")),$()}function Q(e){var t=p.big5,n=new d("#accscreen-jt");t?(n.html("简体"),n.attr("title","繁体已启用"),e&&h.play("繁体已启用")):(n.html("繁体"),n.attr("title","简体已启用"),e&&h.play("简体已启用"))}function ee(e){var t=p.big5;e&&(p.big5=!t,Q(e))}function te(e){new d("#ariaToptoolbar").find("*").addClass("ariaskiptheme"),new d("#accscreen").find("*").addClass("ariaskiptheme"),c.setHasOldFixed(),p.useOldFixed&&p.showFixBtnInToolBar?(new d(".ariaOldFixedBar").removeClass("ariaHide"),new d("#accrole").addClass("showFixBtnInToolBar"),new d("ariaLi.ariaBtns>div").addClass("oldbtn")):new d(".ariaOldFixedBar").remove(),new d("#acccont-logo-img").css("background-image","url("+p.themeRoad+"/images/"+p.defaultLanguage+(p.readsrc?2:1)+".png?domain="+decodeURI(document.location.hostname)+"&v=4.6.29)");var t=p.scale;1!=t&&f.isFF()&&m.start(),new d(".ariazoomb").attr("title",l.curZoomPage.replace("{0}",t.toFixed(1))+","+l.airafontScaleTextToBig),new d(".ariazooms").attr("title",l.curZoomPage.replace("{0}",t.toFixed(1))+","+l.airafontScaleTextToSmall),new d(".ariaTopsubzoomb").html(l.ariaTopsubzoomb),new d(".ariaTopsubzooms").html(l.ariaTopsubzooms),re(),new d(".ariathemebtn").attr("title",l.ariathemebtn+(p.Theme&&p.Theme.displayName?p.Theme.displayName:"无")),new d(".ariaTopsubtheme").html(l.ariaTopsubtheme),new d(".ariaReadScreen").attr("title",l.ariaReadScreen),new d(".ariaTopsubReadScreen").html(l.ariaTopsubReadScreen),new d(".ariaTopsubVoice").html(l.ariaTopsubVoice),oe(),new d(".ariaTopsubVoiceRate").html(l.ariaTopsubVoiceRate),ae(),new d(".ariaTopsubReadtype").html(l.ariaTopsubReadtype),ie(),new d(".ariaTopsubmouseb ").html(l.ariaTopsubmouseb),new d(".ariaTopsubten ").html(l.ariaTopsubten),S(),new d(".ariareset").attr("title",l.ariareset),new d(".ariaTopsubreset").html(l.ariaTopsubreset),new d(".ariatopfixedtext").attr("title",l.ariatopfixedtext),new d(".ariaTopsubtopfixed").html(l.ariaTopsubtopfixed),new d(".ariaTopsubigsrc").html(l.ariaTopsubigsrc),new d(".ariabigsrc").attr("title",p.bigsrc?l.ariabigsrcopen:l.ariabigsrcclose),new d(".ariaTopsubtopexit").html(l.ariaTopsubtopexit),new d(".ariaexit").attr("title",l.ariaexit),new d(".ariaacchelpbook").attr("title",l.ariaacchelpbook),new d(".ariaTopacchelpbook").html(l.ariaTopacchelpbook),$(),Q(),new d("#acctip").ariaAttr("fontsize","huge"),I(e),M(),R(null),T(null),A(null),L(null),C(null),x(null),O(),setTimeout(function(){ne(),y()},500),n=setInterval(ne,1e3)}function ne(){for(var e=z.getAll(),t=new d(".onlineread"),n=new d(".readsrc").length<2,r=1;r<7;r++){var i,o,a=e[r]?e[r].length:0;n?(o='<div id="acccross'+r+'" regiontype="'+r+'" '+(0==a?"disable=true":"")+'  class="readsrc ariaregionbutton acccross'+r+" "+(0==a?"disable":"")+'">',o=(o+=' <arialabel class="ariatitle "><arialabel class="regionname" role="button">'+(i=(i=l["regiontype"+r])||l["undefined"])+'</arialabel><arialabel role="button" class="regioncount ariaicon-regioncount'+r+'" aria-label="'+i+a+'"><cc>(</cc><t id="regioncount'+r+'">'+a+"</t><cc>)</cc></arialabel></arialabel>")+'<arialabel class="desc">ALT+'+r+"</arialabel></div>",t.append(o)):a!=parseInt(new d("#regioncount"+r).html())&&(new d("#regioncount"+r).html(a),0<a?new d(".acccross"+r).removeClass("disable"):new d(".acccross"+r).addClass("disable"))}new d(".ariaregionbutton").off("click",G),new d(".ariaregionbutton").click(G)}function y(e){var t=p.readsrc;void 0!==e&&(p.readsrc=!t,t=!t),t?(new d(".notonlineread").addClass("ariaHide"),new d(".onlineread").removeClass("ariaHide"),L()):(new d(".notonlineread").removeClass("ariaHide"),new d(".onlineread").addClass("ariaHide")),s.start(),h.play(new d("#ariaTipText")),new d("#acccont-logo-img").css("background-image","url("+p.themeRoad+"/images/"+p.defaultLanguage+(p.readsrc?2:1)+".png?domain="+decodeURI(document.location.hostname)+"&v=4.6.29)")}function w(e){clearInterval(n),n=null,p.reset(),te(),E(),o.setSettingTheme(),window.canRead=!0,a.resetBodyTran(),h.play(l.ariaresetsuccess)}function re(){var e="ariaOldFixedBtn0";p.oldFixedStatus?(new d(".ariaOldFixed").attr("title",l.ariaOldFixedOpen),new d(".ariaOldFixed").addClass("fixedSelect"),e="ariaOldFixedBtn1"):(new d(".ariaOldFixed").attr("title",l.ariaOldFixedClose),new d(".ariaOldFixed").removeClass("fixedSelect")),new d(".ariaOldFixedTitile").html(l[e])}function x(e){var t=p.oldFixedStatus;p.pageDisOldFixed?c.removeOldfixed():(e&&((p.oldFixedStatus=t=!t)?(p.scale=1,h.play(l.ariaOldFixedOpen)):h.play(l.ariaOldFixedClose)),t?(q.start(),a.setSettingTheme(),c.start(),K.starAll(),i.setAllTitleToHtml()):(q.end(),c.end(),K.endAll(),V.endAll(),i.removeAllTitleToHtml()),re())}function S(){p.mousemode?new d(".ariamouseb").attr("title",l.ariamousebopen):new d(".ariamouseb").attr("title",l.ariamousebclose),p.mouseten?new d(".ariamouseten").attr("title",l.ariamousetenopen):new 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d(".ariahighlighttool").parent().addClass("fixedSelect"),new d(".ariahighlighttool").ariaAttr("success",l["sethighlight"])):t&&new d(".ariahighlighttool").parent().addClass("fixedSelect")}function A(e){var t=p.mouseten;e&&(p.mouseten=t=!t,S(),t?h.play(l.ariamousetenopen):h.play(l.ariamousetenclose)),t?o.startMouseTen():o.endMouseTen()}function T(e){var t=new d(".ariamouseb"),n=p.mousemode;e?(n?(t.removeClass("fixedSelect"),p.mousemode=null,h.play(l.ariamousebclose)):(p.mousemode=!0,h.play(l.ariamousebopen)),n=p.mousemode,S()):n&&t.addClass("fixedSelect"),E(n)}function E(e){e?o.startBigMouse():o.endBigMouse()}function O(e){var t;p.voice.enable?(t=p.voice.rate,e&&(t>=p.voice.maxRate?t=p.voice.minRate:t+=t<1?.1:.5,p.voice.rate=parseFloat(t.toFixed(1)),h.play(l["ariaCurVoiceRate"].replace("{0}",t.toFixed(1)))),e=new 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P(){8==this.state&&(this._input.tapCount=this.count,this.manager.emit(this.options.event,this._input))}}),M.VERSION="2.0.8",M.defaults={domEvents:!1,touchAction:"compute",enable:!0,inputTarget:null,inputClass:null,preset:[[De,{enable:!1}],[Pe,{enable:!1},["rotate"]],[Ue,{direction:S}],[Me,{direction:S},["swipe"]],[je],[je,{event:"doubletap",taps:2},["tap"]],[Be]],cssProps:{userSelect:"none",touchSelect:"none",touchCallout:"none",contentZooming:"none",userDrag:"none",tapHighlightColor:"rgba(0,0,0,0)"}};function _e(e,t){this.options=o({},M.defaults,t||{}),this.options.inputTarget=this.options.inputTarget||e,this.handlers={},this.session={},this.recognizers=[],this.oldCssProps={},this.element=e,this.input=new((t=this).options.inputClass||(te?ve:ne?O:ee?Se:E))(t,ae),this.touchAction=new Ne(this,this.options.touchAction),ze(this,!0),s(this.options.recognizers,function(e){var t=this.add(new e[0](e[1]));e[2]&&t.recognizeWith(e[2]),e[3]&&t.requireFailure(e[3])},this)}function ze(n,r){var i,o=n.element;o.style&&(s(n.options.cssProps,function(e,t){i=f(o.style,t),r?(n.oldCssProps[i]=o.style[i],o.style[i]=e):o.style[i]=n.oldCssProps[i]||""}),r||(n.oldCssProps={}))}_e.prototype={set:function(e){return o(this.options,e),e.touchAction&&this.touchAction.update(),e.inputTarget&&(this.input.destroy(),this.input.target=e.inputTarget,this.input.init()),this},stop:function(e){this.session.stopped=e?2:1},recognize:function(e){var t=this.session;if(!t.stopped){this.touchAction.preventDefaults(e);for(var n,r=this.recognizers,i=t.curRecognizer,o=((!i||8&i.state)&&(i=t.curRecognizer=null),0);o<r.length;)n=r[o],2===t.stopped||i&&n!=i&&!n.canRecognizeWith(i)?n.reset():n.recognize(e),!i&&14&n.state&&(i=t.curRecognizer=n),o++}},get:function(e){if(e instanceof I)return e;for(var t=this.recognizers,n=0;n<t.length;n++)if(t[n].options.event==e)return t[n];return null},add:function(e){var t;return n(e,"add",this)?this:((t=this.get(e.options.event))&&this.remove(t),this.recognizers.push(e),(e.manager=this).touchAction.update(),e)},remove:function(e){var t;return n(e,"remove",this)||(e=this.get(e))&&-1!==(e=u(t=this.recognizers,e))&&(t.splice(e,1),this.touchAction.update()),this},on:function(e,t){var n;if(e!==undefined&&t!==undefined)return n=this.handlers,s(i(e),function(e){n[e]=n[e]||[],n[e].push(t)}),this},off:function(e,t){var n;if(e!==undefined)return n=this.handlers,s(i(e),function(e){t?n[e]&&n[e].splice(u(n[e],t),1):delete n[e]}),this},emit:function P(e,t){this.options.domEvents&&(n=e,r=t,(i=document.createEvent("Event")).initEvent(n,!0,!0),(i.gesture=r).target.dispatchEvent(i));var n,r,i,o=this.handlers[e]&&this.handlers[e].slice();if(o&&o.length){t.type=e,t.preventDefault=function(){t.srcEvent.preventDefault()};for(var a=0;a<o.length;)o[a](t),a++}},destroy:function(){this.element&&ze(this,!1),this.handlers={},this.session={},this.input.destroy(),this.element=null}},o(M,{INPUT_START:h,INPUT_MOVE:2,INPUT_END:g,INPUT_CANCEL:m,STATE_POSSIBLE:1,STATE_BEGAN:2,STATE_CHANGED:4,STATE_ENDED:8,STATE_RECOGNIZED:8,STATE_CANCELLED:16,STATE_FAILED:32,DIRECTION_NONE:v,DIRECTION_LEFT:b,DIRECTION_RIGHT:y,DIRECTION_UP:w,DIRECTION_DOWN:x,DIRECTION_HORIZONTAL:S,DIRECTION_VERTICAL:k,DIRECTION_ALL:ie,Manager:_e,Input:A,TouchAction:Ne,TouchInput:O,MouseInput:E,PointerEventInput:ve,TouchMouseInput:Se,SingleTouchInput:ye,Recognizer:I,AttrRecognizer:L,Tap:je,Pan:Me,Swipe:Ue,Pinch:Pe,Rotate:De,Press:Be,on:t,off:r,each:s,merge:W,extend:V,assign:o,inherit:e,bindFn:J,prefixed:f}),("undefined"!=typeof window?window:"undefined"!=typeof self?self:{}).Hammer=M,B.exports={Hammer:M}},function(e,t,n){var r,l=n(10),d=n(13),i=n(20),o=n(116),a=n(72),s=n(118),c=n(50),u=n(55),f=n(317);function p(e,t){for(var n=document.getElementsByName(e),r=0;r<n.length;r++){var i=n[r];if(i.value==t){i.checked=!0;break}}}function h(){var e=i.status();C(document.getElementById("zzmsbtn").checked=e),S(d.voice.enable),p("ariaVoiceSpeed",d.voice.rate),p("ariaFontSize",i.fontScale()),p("ariaTheme",d.ThemeIndex)}function g(e){m()}function m(e){new l("body").removeClass("ariaConfigInOpen"),new l("#ariaConfigPanel").addClass("ariaHide"),new l(".ariaOldFixedbtnDiv").removeClass("ariaHide")}function v(){new l("body").addClass("ariaConfigInOpen"),new l(".ariaOldFixedbtnDiv").addClass("ariaHide"),new l("#ariaConfigPanel").removeClass("ariaHide")}function b(e){e=parseFloat(e.target.value);i.theme(e),s.doEventForceAll()}function y(e){e=parseFloat(e.target.value);i.fontScale(e),a.resetBodyTran()}function w(e){e=parseFloat(e.target.value);d.voice.rate=e}function x(e){var t=e.target.checked;(d.voice.enable=t)?(c.start(),c.play(new l(e.target))):(c.stop(),c.end()),S(t)}function S(e){(document.getElementById("voicebtn").checked=e)?(new l(".readrate").removeClass("ariadisabled"),new l(".talkback").removeClass("ariadisabled")):(new l(".readrate").addClass("ariadisabled"),new l(".talkback").addClass("ariadisabled"))}function k(e){e=e.target.checked;i.status(e),C(e),e?r.AppStart():r.end()}function C(e){e?new l(".zzmssub").removeClass("ariadisabled"):new l(".zzmssub").addClass("ariadisabled")}e.exports={loadConfig:function(){window.ariaHideToolbar||u.inApp()||(r=window[window.ariaSdkName],0==new l("#ariaConfigPanel").length?o.getHTML(d.themeRoad+"/wap.min.html?domain="+decodeURI(document.location.hostname)+"&v=4.6.29",function(e){e=f.setFont(e),new l("html").append(e),d.wapChangeFontSize||new l(".fontSizeDev").remove();var e=d.Theme,t=void 0===e?"default":e.name,n=d.Themes,r=document.getElementById("ariacolorset");r.innerHTML="";for(var i=0;i<n.length;i++){o=void 0;a=void 0;s=void 0;c=void 0;u=void 0;var o=n[i];var a=i;var s=document.createElement("li"),c=document.createElement("label"),u=document.createElement("input");u.value=a,u.type="radio",u.name="ariaTheme",u.id="aira"+o.name,t==o.name&&(u.checked=!0),u.setAttribute("aria-label","当前主题"+o.displayName),s.appendChild(u),c.setAttribute("role","radio"),c.setAttribute("for","aira"+o.name),c.setAttribute("aria-label","当前主题"+o.displayName),c.innerHTML=o.displayName,s.appendChild(c),r.appendChild(s)}h(),new l(".zzmsbtn").on("click",k),new l(".voicebtn").on("click",x),new l(".readrate input[type='radio']").on("click",w),new l(".fontSizeDev input[type='radio']").on("click",y),new l(".ariaThemeDev input[type='radio']").on("click",b),new l(".arianavbar .ariaIcon").on("click",m),new l(".ariabtn").on("click",g),v()}):(a.setSettingTheme(),h(),v()))}}},function(e,t,n){var r=n(20),i=n(13),o=n(50),a=n(72),s=n(118),c=n(312),u=(n(291),n(265)),l={},d=n(319);l.setTheme=function(e){void 0!==e&&(i.Theme=e,i.status)&&(s.doEventForceAll(),d.sendMessage({theme:e}))},l.PreventMode=function(e){e=u.setMode(e),s.doEventForceAll(),d.sendMessage({mode:e})},l.setVoiceEnable=function(e){void 0!==e&&((i.voice.enable=e)||o.stop(),d.sendMessage({voiceEnable:e}))},l.setVoiceRate=function(e){void 0!==e&&(i.voice.rate=e,d.sendMessage({voiceRate:e}))},l.setFontScale=function(e){"number"==typeof e&&(r.fontScale(e),i.status)&&(a.setBodyTran(),d.sendMessage({fontScale:e}))},l.start=function(){i.oldFixedStatus=!0,window[window.ariaSdkName].start(),d.sendMessage({status:!0})},l.end=function(){c.end(),d.sendMessage({status:!1})},e.exports=l}]);
\ No newline at end of file
diff --git "a/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/cb-video.js" "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/cb-video.js"
new file mode 100644
index 00000000..915f7592
--- /dev/null
+++ "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/cb-video.js"	
@@ -0,0 +1,304 @@
+// JavaScript Document
+/*var new_element = document.createElement("script");
+new_element.setAttribute("type", "text/javascript");
+new_element.setAttribute("src", "https://player.v.news.cn/player/sdk/h5/v2.0.6/DHYPlayer-2.0.6.min.js");
+var new_element2 = document.createElement("script");
+new_element2.setAttribute("type", "text/javascript");
+new_element2.setAttribute("src", "http://pv.sohu.com/cityjson?ie=utf-8");
+document.body.appendChild(new_element);
+document.body.appendChild(new_element2);
+*/
+$(function () {
+
+    var allVideoList = [];
+    var detailVideo = $("#detail .pageVideo");
+    //console.log(detailVideo)
+    //detailVideo.attr("src", "")
+
+    var isMobile = (/iPad|iPhone|Android|Windows Phone|Nokia/).test(navigator.userAgent); //当前访问设备为移动端
+    var isLow750 = document.querySelector("body").clientWidth <= 750; //判断是否屏幕尺寸小于750，针对pc，小于750展示手机版页面
+    var ieNum = IEVersion();
+
+    //视频内容渲染中的判断
+    //var _tempDetail = $("#detail").html();
+    //     $("#detail").html(_tempDetail.replace("视频正在解压，请稍等！", ""));
+
+    //console.log("视频个数：", $("#detail .pageVideo").length)
+    if ($("#detail .pageVideo").length > 0) {
+        detailVideo.each(function () {
+            var _videoSrc = $(this).attr("video_src");
+            if (_videoSrc.indexOf("bucket") > 0) {
+                return false;
+            }
+        });
+        if (ieNum == -1 || ieNum > 11 || ieNum == "edge") {
+            //console.log("ieNum:", ieNum);
+            // dynamicLoadJs("http://static.danghongyun.com/player/xh/h5/v2.0.13/DHYPlayer-2.0.13.min.js", laodjs3);
+            dynamicLoadJs("https://player.v.news.cn/player/sdk/h5/DHYPlayer-latest.min.js", laodjs3);
+        } else {
+            //需创建简单的视频播放器
+            simpleVideo();
+        }
+    }
+
+    function simpleVideo() {
+
+        detailVideo.each(function (i, item) {
+            //console.log("i:",i)
+            var videoWidth = $(this).attr("width");
+            var videoTrueWidth = $(this).attr("video_width");
+            var videoTrueHeight = $(this).attr("video_height");
+            var videoNeedHeight = videoWidth * videoTrueHeight / videoTrueWidth;
+            var videoPoster = $(this).attr("poster");
+
+            $(this).parent().after('<div class="simpleVideo" style="text-align:center"><video width="' + videoWidth + '" height="' + videoNeedHeight + '" poster="' + videoPoster + '" src="' + $(this).attr("video_src") + '" controls="controls"></div>');
+            $(this).remove();
+        })
+    }
+
+
+    function dynamicLoadJs(url, callback) {
+        var head = document.getElementsByTagName('head')[0];
+        var script = document.createElement('script');
+        detailVideo.each(function (i, item) {
+            var _detalJson = {
+                "vid": $(this).attr("vid"),
+                "src": $(this).attr("video_src"),
+                "uuid": $(this).attr("uuid"),
+                "width": $(this).attr("width").replace("px", ""),
+                "height": $(this).attr("height"),
+                "trueWidth": $(this).attr("video_width"),
+                "trueHeight": $(this).attr("video_height"),
+                "poster": $(this).attr("poster"),
+                "id": "DH-PLAYERID" + i
+            }
+            allVideoList.push(_detalJson);
+            $(this).parent().after('<div id="DH-PLAYERID' + i + '"></div>');
+        })
+
+        //console.log("allVideoList", allVideoList)
+
+        script.type = 'text/javascript';
+        script.src = url;
+        if (typeof (callback) == 'function') {
+            script.onload = script.onreadystatechange = function () {
+                if (!this.readyState || this.readyState === "loaded" || this.readyState === "complete") {
+                    callback();
+                    script.onload = script.onreadystatechange = null;
+                }
+            };
+        }
+        head.appendChild(script);
+    }
+
+    function IEVersion() {
+        var userAgent = navigator.userAgent; //取得浏览器的userAgent字符串  
+        var isIE = userAgent.indexOf("compatible") > -1 && userAgent.indexOf("MSIE") > -1; //判断是否IE<11浏览器  
+        var isEdge = userAgent.indexOf("Edge") > -1 && !isIE; //判断是否IE的Edge浏览器  
+        var isIE11 = userAgent.indexOf('Trident') > -1 && userAgent.indexOf("rv:11.0") > -1;
+        if (isIE) {
+            var reIE = new RegExp("MSIE (\\d+\\.\\d+);");
+            reIE.test(userAgent);
+            var fIEVersion = parseFloat(RegExp["$1"]);
+            if (fIEVersion == 7) {
+                return 7;
+            } else if (fIEVersion == 8) {
+                return 8;
+            } else if (fIEVersion == 9) {
+                return 9;
+            } else if (fIEVersion == 10) {
+                return 10;
+            } else {
+                return 6; //IE版本<=7
+            }
+        } else if (isEdge) {
+            return 'edge'; //edge
+        } else if (isIE11) {
+            return 11; //IE11  
+        } else {
+            return -1; //不是ie浏览器
+        }
+    }
+
+    function laodjs3() {
+        $(function () {
+            //var videoWidth = detailVideo.attr("width");
+            // var playerCallback = ;
+
+
+            //console.log("allVideoList", allVideoList)
+            allVideoList.forEach(function (item, i, array) {
+                //视频增加src属性，判断vid和src都没有情况才用iframe直接播放
+                if (allVideoList[i].vid == undefined && allVideoList[i].src == undefined) {
+                    var tempSrc = $("#detail .pageVideo").eq(i).attr("src");
+                    $("#detail .pageVideo").eq(i).show().attr("src", tempSrc);
+                    return false;
+                } else {
+
+                    // var player_poster = $("#detail .pageVideo").eq(i).attr("poster");
+
+                    // 2021-12-14修改视频适配旧cms通过vid，uid方式输出封面图
+                    var player_vars = {
+                        "vid": item.vid,
+                        "src": item.src,
+                        "analyseUrl": "http://vodstat.v.news.cn/vms/api/pub/player/recordContent",
+                        "uid": item.uuid,
+                        //"autoplay": true,
+                        "rServer": "http://player.v.news.cn",
+                        "analyse": false,
+                        "logo": "",
+                        "playAndPauseLayoutEnable": false,
+                        "watermark": "",
+                        //"muted":true,
+                        //"poster": player_poster,
+                        //"width": item.width + "px",
+                        //"height": item.height + "px",
+                        "eventCallback": function (playerId, status) {
+                            console.log(playerId,status); 
+                            var getVideoNum = playerId.substr(playerId.length - 1, 1);
+                            //console.log("getVideoNum",getVideoNum);
+                            var videoWidth = allVideoList[getVideoNum].width;
+                            var videoTrueWidth = allVideoList[getVideoNum].trueWidth;
+                            var videoTrueHeight = allVideoList[getVideoNum].trueHeight;
+                            //var thisPlay = $('#' + playerId).find("video");
+                            //视频动态控制高度
+                            if (status === 'playerInitComplate') {
+                                $(".player-container").css({
+                                    "margin": "0 auto 10px"
+                                });
+                                //手机端动态增加样式					
+                                if (isMobile || isLow750) {
+                                    var videoNeedHeight = $("#detail").width() * videoTrueHeight / videoTrueWidth;
+                                    $("#DH-PLAYERID" + getVideoNum + " .player-container").css({
+                                        "width": "100%",
+                                        "height": videoNeedHeight
+                                    });
+                                } else {
+                                    var videoNeedHeight = videoWidth * videoTrueHeight / videoTrueWidth;
+                                    // console.log("videoNeedHeight11111", videoNeedHeight)
+                                    $("#DH-PLAYERID" + getVideoNum + " .player-container").css({
+                                        "width": videoWidth,
+                                        "height": videoNeedHeight
+                                    });
+                                }
+                            }
+                            if (status == "playing") {
+                                stopOtherVideo(getVideoNum);                                
+                                $("#DH-PLAYERID" + getVideoNum + " .control-slider-container").show();
+                                $("#DH-PLAYERID" + getVideoNum + " .PlayToggle").show().siblings().show();   
+                                $("#DH-PLAYERID" + getVideoNum + " .PlayToggle img").css({
+                                    width:"20px",
+                                    height:"20px",
+                                    "margin-top":"0"
+                                });
+                            }
+                            // if (status == "ended") {
+                            // 	stopOtherVideo(getVideoNum);
+                            // }
+                            if (status == "ended" || status == "complete") {
+                                //xilanAutoPlay();
+                            }
+                            if(status=="canplay"){
+                                $("#DH-PLAYERID" + getVideoNum + " .control-slider-container").hide();
+                                $("#DH-PLAYERID" + getVideoNum + " .PlayToggle").show().siblings().hide();                                
+                                $("#DH-PLAYERID" + getVideoNum + " .PlayToggle img").attr("src","data:image/png;base64,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").css({
+                                    width:"50px",
+                                    height:"50px",
+                                    "max-height":"50px",
+                                    "margin-top":"-25px"
+                                });
+                                $("#DH-PLAYERID" + getVideoNum + " .control-bar").css({
+                                    "background":"none"
+                                });                              
+                            }
+                        }
+                    };
+
+                    if (i !== 0) {
+                        player_vars.autoplay = false;
+                    }
+                    // if (player_poster) {
+                    // 	player_vars.poster = player_poster;
+                    // }
+                    if (item.poster) {
+                        player_vars.poster = item.poster;
+                    }
+
+                    detailVideo[i].remove();
+                    // console.log("player_vars", player_vars)
+                    creatVideo(player_vars, i);
+                }
+
+            })
+
+            function stopOtherVideo(i) {
+                var index = parseInt(i);
+                allVideoList.forEach(function (item, i, array) {
+                    if (index !== i) {
+                        //console.log(allVideoList)
+                        allVideoList[i].dhplayer.pause();
+                    }
+                })
+            }
+
+            function getVideoHeight(width, trueWidth, trueHeight, i) {
+                if (isMobile) {
+                    var videoNeedHeight = $("#detail").width() * trueHeight / trueWidth;
+
+                    $("#DH-PLAYERID" + i + " .player-container").css({
+                        "width": "100%",
+                        "height": videoNeedHeight
+                    });
+                } else {
+                    var videoNeedHeight = width * trueHeight / trueWidth;
+                    $("#DH-PLAYERID" + i + " .player-container").css({
+                        "height": videoNeedHeight
+                    });
+                }
+                //return videoNeedHeight;
+            }
+
+            function creatVideo(player_vars, i) {
+                var inits_vars = {
+                    autoHideControlBar: true,
+                    autoHideTime: 1,
+                    env: "xhw",
+                };
+                Object.keys(player_vars).forEach(function (key) {
+                    if (key === 'uid') {
+                        inits_vars.UUID = player_vars[key];
+                        return;
+                    }
+                    inits_vars[key] = player_vars[key];
+                });
+
+
+                allVideoList[i].dhplayer = new DHYPlayer('DH-PLAYERID' + i, inits_vars);
+            }
+
+            // allVideoList.each(function(i,item){				
+            // })	
+
+            //细缆自动播放下一篇
+            function xilanAutoPlay() {
+                //console.log("下一篇开始")
+                var metaMessage = $("meta[name='pageid']").attr("content").split(".");
+                var siteID = metaMessage[0];
+                var pageID = metaMessage[11];
+                var nodeId = metaMessage[4];
+                var pageUrl = 'http://qv.wa.news.cn/queryVideo/get?articleid=' + pageID + '&nodeid=' + nodeId;
+                //console.log(pageUrl);
+                $.ajax({
+                    url: pageUrl,
+                    success: function (data) {
+                        if (data == 0) {
+                            window.location.reload();
+                        } else {
+                            window.location.href = data;
+                        }
+                    }
+                });
+            }
+        })
+    }
+})
\ No newline at end of file
diff --git "a/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/cb_detail_2021.css" "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/cb_detail_2021.css"
new file mode 100644
index 00000000..e80d9f90
--- /dev/null
+++ "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/cb_detail_2021.css"	
@@ -0,0 +1,1099 @@
+.left {
+  float: left;
+}
+
+.right {
+  float: right;
+}
+
+.hide {
+  display: none;
+}
+
+.domMobile {
+  display: none;
+}
+
+.nav .nav-cont,
+.header,
+.main {
+  width: 1200px;
+  margin: 0 auto;
+}
+
+/*.logo-index {
+  position: absolute;
+  width: 70px;
+  height: 50px;
+  left: 50%;
+  top: 0;
+  margin-left: -690px;
+  z-index: 99;
+  background: url(http://www.news.cn/detail2020/images/logo.png) 0 0 no-repeat;
+}
+*/
+.topAd {
+  width: 1200px;
+  margin: 0 auto;
+}
+
+.smallTop {
+  z-index: 9999 !important;
+}
+
+#cbVideoCompress {
+  display: none;
+
+}
+
+.header {
+  height: 185px;
+  position: relative;
+  text-align: center;
+  border-bottom: 3px solid #d9d9d9;
+}
+
+.header .header-top {
+  height: 30px;
+  margin-top: 15px;
+}
+
+.header .header-time {
+  width: 105px;
+  text-align: center;
+}
+
+.header .header-time span {
+  display: block;
+  width: 100%;
+  text-align: center;
+  color: #000;
+}
+
+.header .header-time .year {
+  height: 20px;
+  display: block;
+  background: url(http://www.news.cn/detail2020/images/bgYear.png) 50% 50% no-repeat;
+}
+
+.header .header-time .year em {
+  font-size: 18px;
+  background: #fff;
+  font-style: normal;
+  padding: 0 2px;
+}
+
+.header .header-time .day {
+  height: 40px;
+  font-size: 34px;
+  margin: 10px 0;
+}
+
+.header .header-time .day em {
+  font-style: normal;
+}
+
+.header .header-time .time {
+  font-size: 18px;
+  height: 20px;
+}
+
+.header .header-cont {
+  margin-top: 10px;
+}
+
+.header .source {
+  position: absolute;
+  left: 0;
+  top: 150px;
+}
+
+.header h1 {
+  text-align: center;
+  height: 80px;
+  padding: 0 20px;
+  line-height: 1.4em;
+  margin-bottom: 15px;
+  font-size: 36px;
+  align-items: center;
+  display: flex;
+  justify-content: center;
+  align-items: center;
+}
+
+.header h1 .title {
+  max-width: 95%;
+}
+
+.header .setFont {
+  height: 32px;
+  line-height: 32px;
+  background: url(http://www.news.cn/detail2020/images/icon-font.png) 0 0 no-repeat;
+  padding-left: 34px;
+  display: inline-block;
+}
+
+.header .setFont span {
+  display: inline-block;
+  width: 32px;
+  height: 32px;
+  margin: 0 5px;
+  cursor: pointer;
+}
+
+
+.header .setFont span.active {
+  background: #2c64c3;
+  color: #fff;
+  border-radius: 100%;
+}
+
+.header .share {
+  height: 30px;
+  line-height: 30px;
+  padding-left: 34px;
+  display: inline-block;
+  vertical-align: middle;
+  position: relative;
+  z-index: 999;
+}
+
+.header .share * {
+  vertical-align: middle;
+}
+
+.header .share a {
+  width: 32px;
+  height: 32px;
+  display: inline-block;
+  margin: 0 5px;
+  transition: all .1s;
+}
+
+
+
+.header .share .wx {
+  background: url(http://www.news.cn/detail2020/images/share.png) 0 0 no-repeat;
+}
+
+.header .share .wb {
+  background: url(http://www.news.cn/detail2020/images/share.png) -45px 0 no-repeat;
+}
+
+.header .share .xcx {
+  background: url(http://www.news.cn/detail2020/images/share.png) -133px 0 no-repeat;
+}
+
+.header .share .khd {
+  background: url(http://www.news.cn/detail2020/images/share.png) -90px 0 no-repeat;
+}
+
+.header .share .wx-ewm,
+.header .share .xcx-ewm,
+.header .share .khd-ewm {
+  margin-bottom: 24px;
+  width: 150px;
+  height: 150px;
+  background-color: #348CEC;
+  color: #808080;
+  border-radius: 4px;
+  overflow: hidden;
+  text-align: center;
+  position: absolute;
+  left: 50px;
+  top: 40px;
+  display: none;
+  z-index: 99;
+}
+
+.header .share .xcx-ewm {
+  left: 125px;
+}
+
+.header .share .khd-ewm {
+  left: 170px;
+}
+
+.header .share .wx-ewm img,
+.header .share .xcx-ewm img,
+.header .share .khd-ewm img {
+  display: block;
+  width: 135px;
+  height: 135px;
+  margin: 8px auto;
+}
+
+.main .main-left {
+  width: 860px;
+}
+
+.main .main-right {
+  width: 300px;
+  padding-top: 20px;
+}
+
+.main #detail {
+  font-size: 18px;
+  line-height: 2em;
+  padding-top: 20px;
+}
+
+.main #detail p {
+  padding-bottom: 20px;
+}
+
+.main #detail p img {
+  max-width: 90%;
+  height: auto !important;
+  margin: 0 auto;
+  display: block;
+}
+
+.main #detail #detailContent img {
+  max-width: 950px;
+  height: auto !important;
+  margin: 0 auto;
+  display: block;
+}
+
+.columBox {
+  margin-bottom: 20px;
+}
+
+.columBox .col-tit {
+  position: relative;
+  height: 40px;
+  line-height: 40px;
+  border-bottom: 1px solid #e3e3e3;
+  margin-bottom: 10px;
+  overflow: hidden;
+}
+
+.columBox .col-tit span {
+  position: relative;
+  left: 0;
+  top: 0;
+  float: left;
+  height: 38px;
+  line-height: 38px;
+  font-size: 18px;
+  font-weight: bold;
+  padding: 0 10px 0 30px;
+  background: url(http://www.news.cn/detail2020/images/icon-colum.png) 0 50% no-repeat;
+  border-bottom: 3px solid #2a3d96;
+  z-index: 3;
+}
+
+.book {
+  margin: 20px 0;
+  background: url(http://www.news.cn/detail2020/images/bgBook.png);
+  height: 201px;
+  overflow: hidden;
+  font-size: 12px;
+}
+
+.book li {
+  float: left;
+  width: 50%;
+  text-align: center;
+  box-sizing: border-box;
+  padding-top: 21px;
+}
+
+.book li img {
+  width: 110px;
+  height: 110px;
+}
+
+.book .book-tit {
+  margin: 5px 0;
+  font-size: 14px;
+  height: 40px;
+  overflow: hidden;
+}
+
+.bookList {
+  background: #ddedf8;
+}
+
+.bookList li {
+  float: left;
+  width: 138px;
+  text-align: center;
+  margin: 4px 0 4px 4px;
+  background: #fff;
+}
+
+.bookList li img {
+  width: 110px;
+  height: 110px;
+}
+
+.bookList li .pic {
+  margin: 10px 0 5px;
+}
+
+.bookList li .title {
+  height: 60px;
+  margin-bottom: 5px;
+  overflow: hidden;
+}
+
+.bookList li .title a {
+  font-size: 14px;
+}
+
+.bookList li:first-child {
+  margin: 4px 0 4px 6px;
+}
+
+.hotList li {
+  position: relative;
+  line-height: 1.6em;
+  margin-bottom: 15px;
+  padding-left: 30px;
+}
+
+.hotList li:before {
+  content: "";
+  text-align: center;
+  color: #fff;
+  width: 24px;
+  height: 32px;
+  position: absolute;
+  left: 0;
+  top: 0;
+  background: url(http://www.news.cn/detail2020/images/hotList.png) 0 -232px no-repeat;
+}
+
+.hotList .first:before {
+  background: url(http://www.news.cn/detail2020/images/hotList.png) 0 0 no-repeat;
+}
+
+.hotList .second:before {
+  background: url(http://www.news.cn/detail2020/images/hotList.png) 0 -76px no-repeat;
+}
+
+.hotList .third:before {
+  background: url(http://www.news.cn/detail2020/images/hotList.png) 0 -152px no-repeat;
+}
+
+.hotList li:nth-child(1):before {
+  content: "1";
+}
+
+.hotList li:nth-child(2):before {
+  content: "2";
+}
+
+.hotList li:nth-child(3):before {
+  content: "3";
+}
+
+.hotList li:nth-child(4):before {
+  content: "4";
+}
+
+.hotList li:nth-child(5):before {
+  content: "5";
+}
+
+.hotList li:nth-child(6):before {
+  content: "6";
+}
+
+.hotList li:nth-child(7):before {
+  content: "7";
+}
+
+.hotList li:nth-child(8):before {
+  content: "8";
+}
+
+.hotList li:nth-child(9):before {
+  content: "9";
+}
+
+.hotList li:nth-child(10):before {
+  content: "10";
+}
+
+.relatedNews li {
+  margin: 15px 0;
+  padding-bottom: 15px;
+  border-bottom: 1px solid #E6E6E6;
+}
+
+.relatedNews li a {
+  display: block;
+  margin: 10px 0;
+  font-size: 18px;
+  font-weight: 600;
+  color: #404040;
+
+}
+
+.relatedNews li .info {
+  font-size: 14px;
+  color: #808080;
+  line-height: 28px;
+}
+
+.relatedNews li .time {
+  font-size: 14px;
+  color: #808080;
+  line-height: 28px;
+}
+
+.video li {
+  clear: both;
+  overflow: hidden;
+  margin-bottom: 15px;
+}
+
+.video li .pic {
+  height: 169px;
+  width: 100%;
+  position: relative;
+  border-radius: 6px;
+}
+
+.video li .pic img {
+  width: 100%;
+}
+
+.video li .tit {
+  line-height: 1.6em;
+  width: 100%;
+  box-sizing: border-box;
+  padding: 5px 5px 5px 50px;
+  color: #fff;
+  position: absolute;
+  left: 0;
+  bottom: 0;
+  z-index: 1;
+  /* Permalink - use to edit and share this gradient: https://colorzilla.com/gradient-editor/#000000+0,000000+100&0+0,0.65+100 */
+  background: -moz-linear-gradient(top, rgba(0, 0, 0, 0) 0%, rgba(0, 0, 0, 0.65) 100%);
+  /* FF3.6-15 */
+  background: -webkit-linear-gradient(top, rgba(0, 0, 0, 0) 0%, rgba(0, 0, 0, 0.65) 100%);
+  /* Chrome10-25,Safari5.1-6 */
+  background: linear-gradient(to bottom, rgba(0, 0, 0, 0) 0%, rgba(0, 0, 0, 0.65) 100%);
+  /* W3C, IE10+, FF16+, Chrome26+, Opera12+, Safari7+ */
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#00000000', endColorstr='#a6000000', GradientType=0);
+  /* IE6-9 */
+}
+
+.video li .tit a {
+  color: #fff;
+}
+
+.video li a:before {
+  content: "";
+  position: absolute;
+  width: 35px;
+  height: 35px;
+  left: 5px;
+  bottom: 5px;
+  z-index: 2;
+  background: url(http://www.news.cn/detail2020/images/icon-video.png) 0 0 no-repeat;
+}
+
+.video li .col-source {
+  height: 20px;
+  line-height: 20px;
+  margin-top: 5px;
+}
+
+.fixVideo {
+  position: fixed;
+  top: 85px;
+  width: 300px;
+}
+
+.main-left .nextpage {
+  height: 70px;
+  line-height: 70px;
+  margin: 20px 0;
+  background: #f5fbff;
+  border-top: 1px solid #dde8f3;
+  border-bottom: 1px solid #dde8f3;
+}
+
+.main-left .nextpage .nextpage-tit {
+  margin-left: 3%;
+  float: left;
+  box-sizing: border-box;
+  width: 15%;
+  height: 100%;
+  font-size: 16px;
+  color: #008aff;
+  padding-left: 30px;
+  background: url(http://www.news.cn/detail2020/images/icon-nextpage.png) 0 25px no-repeat;
+}
+
+.main-left .nextpage .nextpage-cont {
+  float: left;
+  width: 82%;
+  height: 100%;
+  text-align: left;
+  overflow: hidden;
+}
+
+.main-left .nextpage .nextpage-cont a {
+  display: flex;
+  /*鍨傜洿鎺掑垪*/
+  flex-direction: column;
+  /* align-items: center; */
+  /*鐢变簬flex-direction: column锛屽洜姝lign-items浠ｈ〃鐨勬槸姘村钩鏂瑰悜*/
+  justify-content: center;
+  /*鐢变簬flex-direction: column锛屽洜姝ustify-content浠ｈ〃鐨勬槸鍨傜洿鏂瑰悜*/
+  height: 100%;
+  font-size: 20px;
+  line-height: 1.4em;
+  padding: 0 10px;
+  color: #008aff;
+}
+
+.fix-ewm {
+  position: fixed;
+  left: 50%;
+  top: 280px;
+  margin-left: 630px;
+}
+
+.fix-ewm .fxd {
+  margin-top: 10px;
+  height: 200px;
+  background: url(http://www.news.cn/detail2020/images/share1.png) 50% 0 no-repeat;
+}
+
+.fix-ewm .fxd-wx-ewm,
+.fix-ewm .fxd-xcx-ewm,
+.fix-ewm .fxd-khd-ewm {
+  margin-bottom: 24px;
+  width: 145px;
+  height: 145px;
+  background-color: #348CEC;
+  color: #808080;
+  border-radius: 4px;
+  overflow: hidden;
+  text-align: center;
+  position: absolute;
+  left: -23px;
+  top: 195px;
+  display: none;
+}
+
+.fix-ewm .fxd-khd-ewm {
+  top: 332px;
+}
+
+.fix-ewm .fxd-xcx-ewm {
+  top: 285px;
+}
+
+.fix-ewm .fxd-xcx-ewm img,
+.fix-ewm .fxd-wx-ewm img,
+.fix-ewm .fxd-khd-ewm img {
+  display: block;
+  width: 135px;
+  height: 135px;
+  margin: 5px auto;
+}
+
+.fix-ewm .fxd-wx {
+  display: inline-block;
+  position: absolute;
+  left: 30px;
+  top: 160px;
+  width: 34px;
+  height: 30px;
+  cursor: pointer;
+  background: url(http://www.news.cn/detail2020/images/shar2.png) 50% 0 no-repeat;
+}
+
+.fix-ewm .fxd-wb {
+  display: inline-block;
+  position: absolute;
+  left: 30px;
+  top: 205px;
+  width: 34px;
+  height: 30px;
+  cursor: pointer;
+  background: url(http://www.news.cn/detail2020/images/shar2.png) 50% -101px no-repeat;
+}
+
+.fix-ewm .fxd-xcx {
+  display: inline-block;
+  position: absolute;
+  left: 30px;
+  top: 250px;
+  width: 34px;
+  cursor: pointer;
+  height: 30px;
+  background: url(http://www.news.cn/detail2020/images/shar2.png) 50% -150px no-repeat;
+}
+
+.fix-ewm .fxd-khd {
+  display: inline-block;
+  position: absolute;
+  left: 30px;
+  top: 295px;
+  width: 34px;
+  cursor: pointer;
+  height: 30px;
+  background: url(http://www.news.cn/detail2020/images/shar2.png) 50% -48px no-repeat;
+}
+
+.topFixed {
+  position: fixed;
+  left: 0;
+  top: 0;
+  width: 100%;
+  height: 65px;
+  line-height: 75px !important;
+  background: #fff;
+  -webkit-box-shadow: 0 0px 15px 0 #b1b1b1;
+  box-shadow: 0 5px 15px 0 #b1b1b1;
+  border-top: 1px solid #ccc;
+  border-bottom: 1px solid #ccc;
+  line-height: 65px;
+  overflow: hidden;
+  z-index: 9999;
+}
+
+.btn-audio {
+  display: inline-block;
+  width: 32px;
+  height: 32px;
+  margin-left: 10px;
+  vertical-align: middle;
+  border: 2px solid #027bfb;
+  border-radius: 100%;
+  cursor: pointer;
+  position: relative;
+}
+
+.btn-audio:after {
+  content: "";
+  width: 18px;
+  height: 18px;
+  position: absolute;
+  left: 7px;
+  top: 7px;
+  background: url(http://www.news.cn/detail2020/images/audio-play.gif) no-repeat;
+}
+
+.btn-audio-play:after {
+  content: "";
+  width: 18px;
+  height: 18px;
+  position: absolute;
+  left: 7px;
+  top: 7px;
+  background: url(http://www.news.cn/detail2020/images/music.gif) no-repeat;
+}
+
+.pageVideo {
+  display: none;
+}
+
+#detail .player-container {
+  margin: 0 auto;
+  overflow: hidden;
+  text-align: left;
+  text-indent: 0;
+  margin-bottom: 15px !important;
+}
+
+/*ie10浠ヤ笅*/
+.simpleVideo {
+  text-align: center;
+}
+
+.simpleVideo video {
+  margin: 0 auto;
+}
+
+/*ie10浠ヤ笅*/
+#div_currpage {
+  margin-top: 20px;
+}
+
+#div_currpage span {
+  display: inline-block;
+  width: 26px;
+  height: 26px;
+  font-size: 12px;
+  font-weight: 600;
+  color: #FFF;
+  text-align: center;
+  line-height: 26px;
+  background-color: #348CEC;
+}
+
+#div_currpage a {
+  display: inline-block;
+  padding: 0 10px;
+  height: 26px;
+  font-size: 12px;
+  color: #818181;
+  text-align: center;
+  line-height: 26px;
+  background-color: #F1F3F5;
+  transition: all .4s;
+  -moz-transition: all .4s;
+  ;
+  /* Firefox 4 */
+  -webkit-transition: all .4s;
+  /* Safari & Chrome */
+  -o-transition: all .4s;
+  ;
+  /* Opera */
+}
+
+#div_currpage a:hover {
+  color: #FFF;
+  background-color: #348CEC;
+}
+
+#articleEdit {
+  padding: 30px 0 10px;
+  margin: 0 10px 20px 10px;
+  text-align: right;
+  font-size: 12px;
+}
+
+.tiyi1 {
+  position: relative;
+  z-index: 100;
+  display: none;
+}
+
+.tiyi1 .tiyi01 {
+  position: absolute;
+  left: -445px;
+  top: 25px;
+  background-color: #FFF;
+  height: 342px;
+  width: 600px;
+  visibility: visible;
+}
+
+.tiyi1 .tiyi03 {
+  position: absolute;
+  left: 570px;
+  top: 2px;
+  background: url("http://www.news.cn/images/syicon/space.gif") 0 -131px no-repeat;
+  width: 24px;
+  height: 24px;
+}
+
+.tiyi1 .advise,
+.tiyi1 .advise2 {
+  cursor: pointer;
+  color: #8a0000
+}
+
+.ad2020 div {
+  width: 100% !important;
+  margin-bottom: 20px !important;
+}
+
+.ad2020 div img {
+  width: 100% !important;
+}
+
+.player-container .dhy-video {
+  position: static !important;
+}
+
+.media-box {
+  min-height: auto !important;
+}
+
+#sdgc .list-item {
+  margin-bottom: 17px;
+  padding-bottom: 12px;
+  height: 80px;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  border-bottom: 1px dotted #999
+}
+
+#sdgc .list-item .img {
+  width: 120px;
+  height: 67px;
+  float: left;
+  margin-right: 10px;
+  overflow: hidden
+}
+
+#sdgc .list-item .img img {
+  width: 100%;
+  height: 100%
+}
+
+#sdgc .list-item .tit a {
+  display: block;
+  font-size: 15px;
+  line-height: 22px;
+  height: 44px;
+  margin-bottom: 2px;
+  margin-top: -5px;
+  color: #333
+}
+
+#sdgc .list-item .tit span {
+  display: inline-block;
+  padding: 0 5px;
+  font-size: 13px;
+  line-height: 17px;
+  background: #e30000;
+  color: #fff
+}
+
+#sdgc .list-item .tit span a {
+  height: auto;
+  font-size: 13px;
+  line-height: 17px;
+  display: inline-block;
+  background: #e30000;
+  color: #fff
+}
+
+@media screen and (max-width: 767px) {
+
+  .domPC {
+    display: none;
+  }
+
+  .domMobile {
+    display: block;
+  }
+
+  .pageVideo {
+    width: 100%;
+  }
+
+  .mob-top .mob-top-nav {
+    border-bottom: 10px solid #f5f5f5;
+  }
+
+  .mheader {
+    text-align: center;
+    padding-top: 15px;
+  }
+
+  .mheader .title {
+    font-size: 24px;
+    line-height: 32px;
+    text-align: center;
+  }
+
+  .mheader h1 {
+    font-size: 24px;
+    line-height: 32px;
+    margin-bottom: 10px;
+    padding: 0 10px;
+  }
+
+  .mheader .info {
+    font-size: 14px;
+    color: #646d81;
+  }
+
+  .main {
+    width: 100%;
+    box-sizing: border-box;
+    padding: 0 10px;
+    font-size: 16px;
+    overflow: hidden;
+  }
+
+  .main .main-left {
+    width: 100%;
+  }
+
+  .main #detail img {
+    max-width: 100%;
+    height: auto;
+  }
+
+  .main #detail {
+    font-size: 18px;
+  }
+
+  .main-left .nextpage {
+    height: auto;
+    line-height: 2em;
+    margin: 20px 0 20px;
+    background: #f5fbff;
+    border-top: 1px solid #dde8f3;
+    border-bottom: 1px solid #dde8f3;
+  }
+
+  .main-left .nextpage .nextpage-tit {
+    margin-left: 5%;
+    margin-top: 15px;
+    width: 95%;
+    height: 30px;
+    line-height: 30px;
+    font-size: 16px;
+    overflow: hidden;
+    background: url(http://www.news.cn/detail2020/images/icon-nextpage.png) 0 5px no-repeat;
+  }
+
+  .main-left .nextpage .nextpage-cont {
+    width: 100%;
+    height: auto;
+    margin: 10px 0;
+    text-align: center;
+  }
+
+  .main .main-right {
+    width: 100%;
+    padding-top: 0;
+  }
+
+  .main-left .nextpage .nextpage-cont a {
+    font-size: 20px;
+  }
+
+  .hotList li a {
+    font-size: 16px;
+  }
+
+  .book {
+    margin: 20px 0;
+    position: relative;
+    background: none;
+    background-size: 100% 100%;
+    height: auto;
+    overflow: hidden;
+    font-size: 18px;
+    border-right: 3px solid #ddedf7;
+  }
+
+  .book::before {
+    content: "";
+    position: absolute;
+    left: 0;
+    top: 0;
+    width: 80px;
+    height: 12px;
+    background: url(http://www.news.cn/detail2020/images/bgMobileBook.jpg) 0 0 no-repeat;
+    background-size: 100% auto;
+    overflow: hidden;
+  }
+
+  .book::after {
+    content: "";
+    position: absolute;
+    right: 0;
+    bottom: 0;
+    width: 80px;
+    height: 12px;
+    background: url(http://www.news.cn/detail2020/images/bgMobileBook.jpg) 0 0 no-repeat;
+    background-size: 100% auto;
+    overflow: hidden;
+  }
+
+  .book li {
+    padding: 20px 10px;
+    min-height: 200px;
+    border: 3px solid #ddedf7;
+    border-right: 0;
+  }
+
+  .book li .book-tit {
+    font-size: 16px;
+    line-height: 1.6em;
+    height: 45px;
+    overflow: hidden;
+  }
+
+  .video li {
+    height: auto;
+    position: relative;
+  }
+
+  .video li img {
+    width: 100%;
+    height: auto;
+  }
+
+  .video li .pic {
+    height: auto;
+  }
+
+  #articleEdit {
+    padding: 10px 0 10px;
+    margin: 0 10px 0 10px;
+    text-align: right;
+    font-size: 12px;
+  }
+
+  .main #detail #detailContent img {
+    max-width: 95%;
+    height: auto !important;
+    margin: 0 auto;
+    display: block;
+  }
+
+  .mob-top .mob-top-upper .logo i{
+    display: none;
+  }
+
+
+}
+
+/* 新增相关新闻 */
+#relateNews li {
+  padding: 15px 0;
+  box-sizing: border-box;
+  border-bottom: 1px dashed #bfbfbf;
+  display: flex;
+  align-items: center;
+}
+
+#relateNews .img {
+  float: left;
+}
+
+#relateNews .img img {
+  width: 180px;
+  height: auto;
+  margin-right: 10px;
+}
+
+#relateNews .tit {
+  font-size: 18px;
+  line-height: 28px;
+}
+
+
+#relateNews h2 {
+  font-size: 20px;
+}
+
+@media screen and (max-width: 767px) {
+  #relateNews .img img {
+    width: 110px;
+    height: auto;
+    margin-right: 10px;
+  }
+
+  #relateNews .tit {
+    font-size: 16px;
+    line-height: 1.6em;
+    overflow: hidden;
+    text-overflow: ellipsis;
+    display: -webkit-box;
+    -webkit-line-clamp: 3;
+    -webkit-box-orient: vertical;
+  }
+}
+
+/* 新增相关新闻 end */
\ No newline at end of file
diff --git "a/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/cb_detail_sanwu_20220721.js" "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/cb_detail_sanwu_20220721.js"
new file mode 100644
index 00000000..6abcba33
--- /dev/null
+++ "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/cb_detail_sanwu_20220721.js"	
@@ -0,0 +1,486 @@
+// JavaScript Document
+$(function () {
+    var pageShare = $(".pageShare"),
+        pageShareTop = pageShare.offset().top,
+        //metaArr = $("meta[name='pageid']").attr("content").split("."),
+        releaseDate = $(".year em").html() + $.trim($(".day em").eq(0).html()) + $.trim($(".day em").eq(1).html());
+    //siteIdXml = metaArr[0],
+    //nodeId = metaArr[4],
+    //fileUUID = metaArr[11]
+    var newsHref = window.location.href; //当前文章地址
+    var csdw = newsHref.split("/");
+    var cbTime = newsHref.split("/")[csdw.length - 3];
+    var cbUUID = newsHref.split("/")[csdw.length - 2];
+
+
+    //var channelName = newsHref.split("/")[3];
+
+    //console.log(newsHref);
+    //console.log(channelName);
+    var detail = {
+        init: function () {
+            var isMobile = (/iPad|iPhone|Android|Windows Phone|Nokia/).test(navigator.userAgent); //当前访问设备为移动端
+            this.audioPlay(); //播放音频
+            this.detailAudio(); //正文增加音频
+            //  detailSetFont(); //设置颜色-通用js中的函数
+            // detailAtlasDisplay();
+            if (isMobile) {
+                // detailAtlasDisplay(); //正文图片点击弹出细览图集功能-通用js中的函数
+            } else {
+                this.purPosition(); //当前位置
+                this.fontshare(); //文字大小和分享
+                this.xcxEwm(); //小程序二维码
+                this.scrollSet(); //滚动设置跟随 标题和视频	
+                //this.correct(); //纠错
+                this.setTrim(); //去空格
+                // this.setTitleFontSize();
+            }
+        },
+        hotlist: function () {
+            var htList = "";
+            $(top1.list).each(function (i, item) {
+                if (i > 9) {
+                    return false;
+                }
+                htList += '<li id="' + item.id + '"><a href=http://www.newspro.cn/2021homepro/rsznb/index.htm?item=' + (i + 1) + ' target="_blank">' + item.listTitle + '</a></li>';
+            })
+            $(".hotList .col-cont").html(htList)
+        },
+        setTitleFontSize: function () {
+            var titleSize = $.trim($("#fontsize").html());
+            //设置字号
+            if (titleSize != '') {
+                $('.head-line .title').css({
+                    "font-size": titleSize + "px"
+                });
+            }
+        },
+        setTitleFontColor: function () {
+            var titleColor = $.trim($("#fontcolor").html());
+            //设置颜色
+            if (titleColor != '') {
+                $('.head-line .title').css({
+                    'color': titleColor
+                });
+                $('.mheader .title').css({
+                    'color': titleColor
+                });
+            }
+        },
+
+        xcxEwm: function () {
+            //var publishid = $("meta[name=publishid]").attr("content");
+            //var articleid = publishid.split('.')[0];
+            //console.log(articleid)
+            //var pUrl = "https://qrapi.news.cn/code/getQRCode?type=pages/detail/detailText/detailText&articleid=" + fileUUID + "&origin=xinhuawang"
+            var bigUUID = cbTime + cbUUID
+
+            $.ajax({
+                url: "https://qrapi.news.cn/code/getQRCode",
+                type: "post",
+                data: {
+                    type: 'pages/detail/detailText/detailText',
+                    articleid: bigUUID,
+                    origin: 'xinhuawang'
+                },
+                success: function success(res) {
+                    //console.log("小程序二维码地址：", res.data)
+                    if (res.code == '200') {
+                        //console.log(res.code, res.data)
+                        //callback && callback(res.data, dom);
+                        $(".pageShare .xcx-ewm img").attr("src", res.data)
+                        $(".fix-ewm .fxd-xcx-ewm img").attr("src", res.data)
+                    }
+                }
+            });
+        },
+        correct: function () {
+            //纠错
+            (function () {
+                var _hexCHS = '0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz';
+                var _hexTBL = {
+                    '0': 0,
+                    '1': 1,
+                    '2': 2,
+                    '3': 3,
+                    '4': 4,
+                    '5': 5,
+                    '6': 6,
+                    '7': 7,
+                    '8': 8,
+                    '9': 9,
+                    'A': 10,
+                    'B': 11,
+                    'C': 12,
+                    'D': 13,
+                    'E': 14,
+                    'F': 15,
+                    'G': 16,
+                    'H': 17,
+                    'I': 18,
+                    'J': 19,
+                    'K': 20,
+                    'L': 21,
+                    'M': 22,
+                    'N': 23,
+                    'O': 24,
+                    'P': 25,
+                    'Q': 26,
+                    'R': 27,
+                    'S': 28,
+                    'T': 29,
+                    'U': 30,
+                    'V': 31,
+                    'W': 32,
+                    'X': 33,
+                    'Y': 34,
+                    'Z': 35,
+                    'a': 36,
+                    'b': 37,
+                    'c': 38,
+                    'd': 39,
+                    'e': 40,
+                    'f': 41,
+                    'g': 42,
+                    'h': 43,
+                    'i': 44,
+                    'j': 45,
+                    'k': 46,
+                    'l': 47,
+                    'm': 48,
+                    'n': 49,
+                    'o': 50,
+                    'p': 51,
+                    'q': 52,
+                    'r': 53,
+                    's': 54,
+                    't': 55,
+                    'u': 56,
+                    'v': 57,
+                    'w': 58,
+                    'x': 59,
+                    'y': 60,
+                    'z': 61
+                };
+                var key = [61, 37, 44, 31, 34, 7, 24, 6, 43, 12, 27, 3, 25, 29, 60, 33, 35, 41, 58, 2, 51, 49, 9, 5, 59, 11, 42, 32, 22, 40, 4, 57, 50, 38, 8, 56, 21, 19, 52, 53, 16, 28, 1, 26, 47, 17, 54, 46, 10, 23, 55, 13, 14, 20, 15, 36, 18];
+                Hr = function () {
+                    if (key.length < 57) {
+                        throw new Error('the key is too short.');
+                    }
+                    this._sz = _hexCHS.charCodeAt(key[15]) % (key.length - 20) + 10;
+                    this._ks = key.slice(-this._sz);
+                    for (var _i = 0; _i < this._sz; ++_i) {
+                        this._ks[_i] = _hexCHS.charCodeAt(this._ks[_i] % 62);
+                    }
+                    this._k16 = [], this._k41 = [];
+                    this._t16 = {}, this._t41 = {};
+                    for (var _i = 0; _i < 16; ++_i) {
+                        this._k16[_i] = _hexCHS.charAt(key[_i]);
+                        this._t16[this._k16[_i]] = _i;
+                    }
+                    for (var _i = 0; _i < 41; ++_i) {
+                        this._k41[_i] = _hexCHS.charAt(key[_i + 16]);
+                        this._t41[this._k41[_i]] = _i;
+                    }
+                };
+                Hr.prototype.ca = function (s) {
+                    var _k16 = this._k16,
+                        _k41 = this._k41,
+                        _ks = this._ks,
+                        _sz = this._sz,
+                        _cnt = 0;
+                    return s.replace(/[^\s\n\r]/g, function (ch) {
+                        var _n = ch.charCodeAt(0);
+                        return (_n <= 0xff) ? _k16[parseInt(_n / 16)] + _k16[_n % 16] : _k41[parseInt(_n / 1681)] + _k41[parseInt(_n % 1681 / 41)] + _k41[_n % 41]
+                    }).replace(/[0-9A-Za-z]/g, function (ch) {
+                        return _hexCHS.charAt((_hexTBL[ch] + _ks[_cnt++ % _sz]) % 62);
+                    });
+                };
+            })();
+            /*
+            $(".tiyi1").toggle(
+            	function(){$('#jc_link1').attr("src",jc_link);$("#advisebox01").show();},
+            	function(){$("#advisebox01").hide();}
+            );
+            $(".advise").toggle(
+            	function(){$('.jc_link23').attr("src",jc_link);$("#advisebox02").show();},
+            	function(){$("#advisebox02").hide();}
+            );
+            */
+            $(".tiyi1").click(function () {
+
+                $('#jc_link1').attr("src", jc_link);
+                $("#advisebox01").show();
+            });
+            $("#jc_close1").click(function () {
+                event.stopPropagation();
+                $("#advisebox01").hide();
+            });
+
+            $("#jc_close1").click(function () {
+                $("#advisebox01").hide();
+            });
+            $("#jc_close2").click(function () {
+                $("#advisebox02").hide();
+            });
+            //获取责编id，稿件url，稿件id，稿件标题  
+            var ele_pageid = $("meta[name=pageid]").attr("content");
+            var ele_ids = ele_pageid.split(".");
+            var bId = ele_ids[ele_ids.length - 2];
+            var _code = new Hr(); //code
+            var cId = _code.ca(ele_ids[ele_ids.length - 1]);
+            var cTitle = $("title").html().split("_")[0];
+            if (cTitle != "") {
+                cTitle = encodeURI(encodeURI(cTitle));
+            }
+            var cUrl = window.location.href;
+            var jc_link = 'http://ck.wa.news.cn/XHWCIFB/Confirm.do?bId=' + bId + "&cUrl=" + cUrl + "&cId=" + cId + "&cTitle=" + cTitle;
+            /****** end *******/
+        },
+        setTrim: function () {
+            var _day1 = $.trim($(".header .day em").eq(0).html());
+            var _day2 = $.trim($(".header .day em").eq(1).html());
+            $(".header .day").html(_day1 + "/" + _day2)
+        },
+        detailAudio: function () {
+            $('img[name="audiospan"]').each(function (i) {
+                console.log(i);
+                var audioSrc = $(this).attr("apath");
+                var audioHtml = '<audio  controls="controls" src="' + audioSrc + '"></audio>';
+                $(this).after(audioHtml);
+                $(this).remove();
+            })
+            var audios = document.getElementsByTagName("audio");
+
+            function pauseAll() {
+                var self = this;
+                [].forEach.call(audios, function (i) {
+                    // 将audios中其他的audio全部暂停
+                    i !== self && i.pause();
+                })
+            }
+            [].forEach.call(audios, function (i) {
+                i.addEventListener("play", pauseAll.bind(i))
+            });
+        },
+        getBookRight: function () {
+            var bookHtml = "";
+            var bookNum = Math.ceil(Math.random() * 5);
+            $(xhBook.data.list).each(function (i, item) {
+                if (i > (bookNum - 2) && i < (bookNum + 1)) {
+                    bookHtml += '<li><a href="' + item.url + '" target="_blank"><div><img src="' + item.picurl + '"></div><div class="book-tit">' + item.name + '</div></li>';
+                }
+            })
+            $(".book ul").html(bookHtml)
+        },
+        getBookBottom: function () {
+            var bookListHtml = "";
+            $(xhBook.data.list).each(function (i, item) {
+                if (i > 5) {
+                    return false;
+                }
+                bookListHtml += '<li><div class="pic"><a href="' + item.url + '" target="_blank"><img src="' + item.picurl + '" alt=""></a></div><div class="title"><a href="' + item.url + '" target="_blank">' + item.name + '</a></div></li>';
+            })
+            $(".bookList ul").html(bookListHtml)
+        },
+        purPosition: function () {
+            // $(domainNameArr).each(function (i, v) {
+            // 	if (newsHref.indexOf(v.name) >= 0) channelName = v.sKey;
+            // });
+            var curColumn = {};
+            $(arrChannel).each(function (i, v) {
+                if (newsHref.indexOf(v.sKey) > -1) {
+                    curColumn = {
+                        name: v.sValue,
+                        url: v.sUrl,
+                        sKey: v.sKey
+                    }
+                }
+            });
+            console.log(curColumn);
+            $(".curColumn").attr({
+                "href": curColumn.url,
+                "target": "_blank"
+            }).html(curColumn.name);
+        },
+        fontshare: function () {
+            $("#fontSmall").click(function () {
+                $(this).addClass("active").siblings().removeClass("active");
+                $("#detail").css({
+                    "font-size": "16px"
+                })
+            })
+            $("#fontNormal").click(function () {
+                $(this).addClass("active").siblings().removeClass("active");
+                $("#detail").css({
+                    "font-size": "18px"
+                })
+            })
+            $("#fontBig").click(function () {
+                $(this).addClass("active").siblings().removeClass("active");
+                $("#detail").css({
+                    "font-size": "20px"
+                })
+            })
+            //分享
+            var title = $(".head-line .title").html();
+            var wbSrc = 'http://service.weibo.com/share/share.php?url=' + newsHref + '&title=' + title;
+            //var kjSrc = 'http://sns.qzone.qq.com/cgi-bin/qzshare/cgi_qzshare_onekey?url=' + newsHref + '&title=' + title;
+            //var _src = newsHref.replace("c_", "ewm_").replace(".htm", "1n.jpg");
+            //console.log(_src)
+            //$(".wx-ewm img").attr("src", _src);
+            // $(".fxd-wx-ewm img").attr("src", _src);
+            $(".share .wb").attr("href", wbSrc).attr("target", "_blank");
+            $(".fxd .fxd-wb").attr("href", wbSrc).attr("target", "_blank");
+            $(".pageShare").on("mouseover", ".wx", function () {
+                $(".pageShare .wx-ewm").stop(true, true).slideDown();
+            })
+            $(".pageShare").on("mouseleave", ".wx", function () {
+                $(".pageShare .wx-ewm").stop(true, true).slideUp();
+            })
+            $(".pageShare").on("mouseover", ".khd", function () {
+                $(".pageShare .khd-ewm").stop(true, true).slideDown();
+            })
+            $(".pageShare").on("mouseleave", ".khd", function () {
+                $(".pageShare .khd-ewm").stop(true, true).slideUp();
+            })
+            $(".pageShare").on("mouseover", ".xcx", function () {
+                $(".pageShare .xcx-ewm").stop(true, true).slideDown();
+            })
+            $(".pageShare").on("mouseleave", ".xcx", function () {
+                $(".pageShare .xcx-ewm").stop(true, true).slideUp();
+            })
+            $(".fix-ewm").on("mouseover", ".fxd-wx", function () {
+                $(".fxd-wx-ewm").stop(true, true).slideDown();
+            })
+            $(".fix-ewm").on("mouseleave", ".fxd-wx", function () {
+                $(".fxd-wx-ewm").stop(true, true).slideUp();
+            })
+            $(".fix-ewm").on("mouseover", ".fxd-khd", function () {
+                $(".fxd-khd-ewm").stop(true, true).slideDown();
+            })
+            $(".fix-ewm").on("mouseleave", ".fxd-khd", function () {
+                $(".fxd-khd-ewm").stop(true, true).slideUp();
+            })
+            $(".fix-ewm").on("mouseover", ".fxd-xcx", function () {
+                $(".fxd-xcx-ewm").stop(true, true).slideDown();
+            })
+            $(".fix-ewm").on("mouseleave", ".fxd-xcx", function () {
+                $(".fxd-xcx-ewm").stop(true, true).slideUp();
+            })
+        },
+        audioPlay: function () {
+            //音频
+            var audioSrc = 'http://vodpub1.v.news.cn/audio/' + cbTime + '/' + cbTime + cbUUID + '_title_content.mp3';
+            $(".btn-audio").click(function () {
+                if ($(this).hasClass("btn-audio-play")) {
+                    $(this).removeClass("btn-audio-play");
+                    $("#audioDom")[0].pause();
+                } else {
+                    console.log(audioSrc)
+                    $.ajax({
+                        type: "post",
+                        url: 'http://contentapi.news.cn/ossUrlExist/',
+                        data: {
+                            url: audioSrc
+                        },
+                        success: function (data) {
+                            console.log(data)
+                            if (data) {
+                                //console.log(data)
+                                // $(this).addClass("isoundplay")
+                                $(this).addClass("btn-audio-play");
+                                $("#audioDom").attr("src", audioSrc);
+                                $("#audioDom")[0].play();
+                                $(".btn-audio").addClass("btn-audio-play");
+                            } else {
+                                alert("音频正在合成中，请稍后")
+                            }
+
+                        },
+                        error: function () {
+                            alert("音频正在合成中，请稍后")
+                        }
+                    });
+
+                }
+            })
+        },
+        scrollSet: function () {
+            //var videoPos = $(".main-right .video").offset().top;
+            //console.log(videoPos)
+            $(window).scroll(function () {
+                var _this = $(this);
+                if (_this.scrollTop() > (pageShareTop)) {
+                    $(".head-line h1").addClass("topFixed")
+                } else {
+                    $(".head-line h1").removeClass("topFixed")
+                }
+
+                // if (_this.scrollTop() > videoPos) {
+                // 	$(".main-right .video").addClass("fixVideo");
+                // } else {
+                // 	$(".main-right .video").removeClass("fixVideo");
+                // }
+            });
+        },
+        // nextpage: function () {
+        // 	var url = 'http://so.news.cn/inter/getNextNews?siteIdXml=' + siteIdXml + '&nodeId=' + nodeId + '&fileUUID=' + fileUUID + '&releaseDate=' + releaseDate;
+        // 	$.ajax({
+        // 		type: "get",
+        // 		async: false,
+        // 		url: url,
+        // 		dataType: "jsonp",
+        // 		jsonp: "callback",
+        // 		success: function (json) {
+        // 			console.log("下一篇返回数据：", json)
+        // 			if (json.content.result !== null) {
+        // 				$(".nextpage-cont a").html(json.content.result.title);
+        // 				$(".nextpage-cont a").attr("href", json.content.result.originUrl[0]);
+        // 			}
+        // 		},
+        // 		error: function (e) {
+        // 			console.log(e)
+        // 		}
+        // 	});
+        // }
+    }
+    detail.init();
+
+    /* 分页调用 */
+    parsePagingFun({
+        // preText: 'prev',//上一页
+        // nextText: 'next',//下一页
+        id: 'detailContent', //正文分页id
+        num: 8 //显示页码数个数
+    })
+
+    function IEVersion() {
+        var userAgent = navigator.userAgent; //取得浏览器的userAgent字符串  
+        var isIE = userAgent.indexOf("compatible") > -1 && userAgent.indexOf("MSIE") > -1; //判断是否IE<11浏览器  
+        var isEdge = userAgent.indexOf("Edge") > -1 && !isIE; //判断是否IE的Edge浏览器  
+        var isIE11 = userAgent.indexOf('Trident') > -1 && userAgent.indexOf("rv:11.0") > -1;
+        if (isIE) {
+            var reIE = new RegExp("MSIE (\\d+\\.\\d+);");
+            reIE.test(userAgent);
+            var fIEVersion = parseFloat(RegExp["$1"]);
+            if (fIEVersion == 7) {
+                return 7;
+            } else if (fIEVersion == 8) {
+                return 8;
+            } else if (fIEVersion == 9) {
+                return 9;
+            } else if (fIEVersion == 10) {
+                return 10;
+            } else {
+                return 6; //IE版本<=7
+            }
+        } else if (isEdge) {
+            return 'edge'; //edge
+        } else if (isIE11) {
+            return 11; //IE11  
+        } else {
+            return -1; //不是ie浏览器
+        }
+    }
+})
\ No newline at end of file
diff --git "a/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/cb_videoPlayer.css" "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/cb_videoPlayer.css"
new file mode 100644
index 00000000..b2183307
--- /dev/null
+++ "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/cb_videoPlayer.css"	
@@ -0,0 +1,33 @@
+.pageVideo {
+  display: none;
+}
+
+.player-container {
+    margin: 0 auto;
+    overflow: hidden;
+    text-align: left;
+    margin-bottom: 15px !important;
+}
+
+#detail .player-container {
+    margin: 0 auto;
+    overflow: hidden;
+    text-align: left;
+    margin-bottom: 15px !important;
+}
+
+.simpleVideo {
+  text-align: center;
+}
+
+.simpleVideo video {
+  margin: 0 auto;
+}
+
+.player-container .dhy-video{
+  position: static!important;
+}
+
+@media screen and (max-width: 767px) {
+  
+}
\ No newline at end of file
diff --git "a/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/detail-sanwu.css" "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/detail-sanwu.css"
new file mode 100644
index 00000000..45d7f12e
--- /dev/null
+++ "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/detail-sanwu.css"	
@@ -0,0 +1,19 @@
+
+.main .main-left {
+    width: 1000px;
+    margin:0 auto;
+}
+
+.nextpage{ display: none;}
+.btn-audio{ display:none;}
+.main #detail p {
+    text-align: justify;
+}
+
+
+@media screen and (max-width: 767px) {
+   
+    .main .main-left{
+        width: 100%;
+    }  
+}
\ No newline at end of file
diff --git "a/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/ewm.png" "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/ewm.png"
new file mode 100644
index 00000000..ee91761a
Binary files /dev/null and "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/ewm.png" differ
diff --git "a/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/fixedNav.js" "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/fixedNav.js"
new file mode 100644
index 00000000..b063e192
--- /dev/null
+++ "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/fixedNav.js"	
@@ -0,0 +1,8 @@
+/**
+     * news.cn
+     * @version v1.0.1
+     * @license MIT
+     * @time Tue Dec 29 2020 09:29:25 GMT+0800 (中国标准时间)
+     */
+	 
+	 /*!function d(n,r,o){function x(e,i){if(!r[e]){if(!n[e]){var A="function"==typeof require&&require;if(!i&&A)return A(e,!0);if(g)return g(e,!0);var a=new Error("Cannot find module '"+e+"'");throw a.code="MODULE_NOT_FOUND",a}var t=r[e]={exports:{}};n[e][0].call(t.exports,function(i){return x(n[e][1][i]||i)},t,t.exports,d,n,r,o)}return r[e].exports}for(var g="function"==typeof require&&require,i=0;i<o.length;i++)x(o[i]);return x}({1:[function(i,e,A){"use strict";document.writeln('<style>.hide{display:none;}.fixedNav{position:fixed;bottom:0;z-index:999;width:100%;height:50px;line-height:50px;font-size:18px;color:#fff;white-space:nowrap;background:#083b90}.fixedNav .fixedNav-item{position:relative;display:inline-block;padding:0 13.5px;color:#fff}.fixedNav .fixedNav-item .icon{display:block;float:left;margin-right:8px;margin-top:15px}.fixedNav .fixedNav-item.fixedNav-item-recommend 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.icon{width:19px;height:18px;background:url(data:image/png;base64,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) 0 0 no-repeat}.fixedNav .fixedNav-item.fixedNav-item-fortune 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new file mode 100644
index 00000000..a89000dc
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+++ "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/jweixin-1.6.0.js"	
@@ -0,0 +1 @@
+!function(e,n){"function"==typeof define&&(define.amd||define.cmd)?define(function(){return n(e)}):n(e,!0)}(this,function(r,e){var a,c,n,i,t,o,s,d,l,u,p,f,m,g,h,S,y,I,v,_,w,T;if(!r.jWeixin)return a={config:"preVerifyJSAPI",onMenuShareTimeline:"menu:share:timeline",onMenuShareAppMessage:"menu:share:appmessage",onMenuShareQQ:"menu:share:qq",onMenuShareWeibo:"menu:share:weiboApp",onMenuShareQZone:"menu:share:QZone",previewImage:"imagePreview",getLocation:"geoLocation",openProductSpecificView:"openProductViewWithPid",addCard:"batchAddCard",openCard:"batchViewCard",chooseWXPay:"getBrandWCPayRequest",openEnterpriseRedPacket:"getRecevieBizHongBaoRequest",startSearchBeacons:"startMonitoringBeacons",stopSearchBeacons:"stopMonitoringBeacons",onSearchBeacons:"onBeaconsInRange",consumeAndShareCard:"consumedShareCard",openAddress:"editAddress"},c=function(){var e,n={};for(e in a)n[a[e]]=e;return n}(),n=r.document,i=n.title,t=navigator.userAgent.toLowerCase(),f=navigator.platform.toLowerCase(),o=!(!f.match("mac")&&!f.match("win")),s=-1!=t.indexOf("wxdebugger"),d=-1!=t.indexOf("micromessenger"),l=-1!=t.indexOf("android"),u=-1!=t.indexOf("iphone")||-1!=t.indexOf("ipad"),p=(f=t.match(/micromessenger\/(\d+\.\d+\.\d+)/)||t.match(/micromessenger\/(\d+\.\d+)/))?f[1]:"",m={initStartTime:L(),initEndTime:0,preVerifyStartTime:0,preVerifyEndTime:0},g={version:1,appId:"",initTime:0,preVerifyTime:0,networkType:"",isPreVerifyOk:1,systemType:u?1:l?2:-1,clientVersion:p,url:encodeURIComponent(location.href)},h={},S={_completes:[]},y={state:0,data:{}},O(function(){m.initEndTime=L()}),I=!1,v=[],_={config:function(e){C("config",h=e);var 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o=c[n];o&&(t[o]=t[n],delete t[n])}},e))},onMenuShareTimeline:function(e){M(a.onMenuShareTimeline,{complete:function(){k("shareTimeline",{title:e.title||i,desc:e.title||i,img_url:e.imgUrl||"",link:e.link||location.href,type:e.type||"link",data_url:e.dataUrl||""},e)}},e)},onMenuShareAppMessage:function(n){M(a.onMenuShareAppMessage,{complete:function(e){"favorite"===e.scene?k("sendAppMessage",{title:n.title||i,desc:n.desc||"",link:n.link||location.href,img_url:n.imgUrl||"",type:n.type||"link",data_url:n.dataUrl||""}):k("sendAppMessage",{title:n.title||i,desc:n.desc||"",link:n.link||location.href,img_url:n.imgUrl||"",type:n.type||"link",data_url:n.dataUrl||""},n)}},n)},onMenuShareQQ:function(e){M(a.onMenuShareQQ,{complete:function(){k("shareQQ",{title:e.title||i,desc:e.desc||"",img_url:e.imgUrl||"",link:e.link||location.href},e)}},e)},onMenuShareWeibo:function(e){M(a.onMenuShareWeibo,{complete:function(){k("shareWeiboApp",{title:e.title||i,desc:e.desc||"",img_url:e.imgUrl||"",link:e.link||location.href},e)}},e)},onMenuShareQZone:function(e){M(a.onMenuShareQZone,{complete:function(){k("shareQZone",{title:e.title||i,desc:e.desc||"",img_url:e.imgUrl||"",link:e.link||location.href},e)}},e)},updateTimelineShareData:function(e){k("updateTimelineShareData",{title:e.title,link:e.link,imgUrl:e.imgUrl},e)},updateAppMessageShareData:function(e){k("updateAppMessageShareData",{title:e.title,desc:e.desc,link:e.link,imgUrl:e.imgUrl},e)},startRecord:function(e){k("startRecord",{},e)},stopRecord:function(e){k("stopRecord",{},e)},onVoiceRecordEnd:function(e){M("onVoiceRecordEnd",e)},playVoice:function(e){k("playVoice",{localId:e.localId},e)},pauseVoice:function(e){k("pauseVoice",{localId:e.localId},e)},stopVoice:function(e){k("stopVoice",{localId:e.localId},e)},onVoicePlayEnd:function(e){M("onVoicePlayEnd",e)},uploadVoice:function(e){k("uploadVoice",{localId:e.localId,isShowProgressTips:0==e.isShowProgressTips?0:1},e)},downloadVoice:function(e){k("downloadVoice",{serverId:e.serverId,isShowProgressTips:0==e.isShowProgressTips?0:1},e)},translateVoice:function(e){k("translateVoice",{localId:e.localId,isShowProgressTips:0==e.isShowProgressTips?0:1},e)},chooseImage:function(e){k("chooseImage",{scene:"1|2",count:e.count||9,sizeType:e.sizeType||["original","compressed"],sourceType:e.sourceType||["album","camera"]},(e._complete=function(e){if(l){var 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diff --git "a/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/pager.js" "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/pager.js"
new file mode 100644
index 00000000..0364bc2a
--- /dev/null
+++ "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/pager.js"	
@@ -0,0 +1,319 @@
+'use strict';
+
+function parsePagingFun(data) {
+    /**
+     * id : content 父元素id
+     * preText、nextText： 上一页下一页显示内容
+     * num： 当前显示多少分页按钮。
+     * **/
+
+    // console.log("fenyehanshu:")
+    var domId = data.id || 'content'; // content 包裹内容容器id
+    var preText = data.preText || '上一页';
+    var nextText = data.nextText || '下一页';
+    var isShowPicButton = data.showPicButton || false;
+
+    var q = window.location.search.substr(1).split('&');
+    // 根据 URL 获取当前读取的是第几页
+    var params = {};
+    for (var i = 0; i < q.length; i++) {
+        var val = q[i];
+        var e = val.split('=');
+        params[e[0]] = e[1];
+    }
+    var pageNum = parseInt(params['page'] || 1); // 当前页
+
+    var contentElem = document.getElementById(domId);
+
+    // 样式
+    var aStyle = {
+        'display': 'inline-block',
+        'padding': '0 10px',
+        'height': '26px',
+        'fontSize': '12px',
+        'color': '#818181',
+        'textAlign': 'center',
+        'lineHeight': '26px',
+        'backgroundColor': '#F1F3F5',
+        'textDecoration': 'none',
+        'margin': '0 3px',
+        'cursor': 'pointer'
+    };
+
+    var spanStyle = {
+        'display': 'inline-block',
+        'width': '26px',
+        'height': '26px',
+        'fontSize': '12px',
+        'fontWeight': '600',
+        'color': '#FFF',
+        'textAlign': 'center',
+        'lineHeight': '26px',
+        'backgroundColor': '#348CEC',
+        'margin': '0 3px'
+    };
+
+    var num = data.num || 10; // 固定分页 每次显示
+
+
+    var html = contentElem.innerHTML;
+    // 兼容导入数据
+    var imgReg = /<img.*?id="xinhuabreak".*?\/?>/gi;
+
+    var pages = html.split(imgReg);
+    if (pages.length == 1) {
+        pages = html.split('<b style="display: none;">pagebreak</b>');
+    }
+    var pagesLen = pages.length;
+    // console.log("pages",pages)
+    // console.log("pagesLen",pagesLen)
+
+    var curIndex = 0; // 分组 当前显示分页组
+
+    if (pagesLen > 1) {
+        if (pageNum < 1) {
+            pageNum = 1;
+        }
+        if (pageNum > pagesLen) {
+            pageNum = pagesLen;
+        }
+
+        // 当前页码数量 10页 为一页
+        var arr = [];
+        for (var index = 1; index <= pagesLen; index++) {
+            arr.push(index);
+        }
+        var result = []; // 对分页进行拆分接收
+        for (var i = 0; i < pagesLen; i += num) {
+            result.push(arr.slice(i, i + num)); // 每10项分成一组        
+        }
+
+        var renderArr = [];
+        for (var inde = 0; inde <= result.length - 1; inde++) {
+
+            if (result[inde].indexOf(pageNum) != -1) {
+                renderArr = result[inde];
+                curIndex = inde;
+                // throw new Error('结束循环')
+            }
+        }
+
+        contentElem.innerHTML = pages[pageNum - 1];
+        //翻页控件
+        var pager = document.createElement('center');
+        pager.className = 'xinhuaPager';
+        var left = document.createElement('a');
+        left.className = 'xinhuaLeftBtn';
+        left.innerText = '|<<';
+        pager.appendChild(left);
+        var right = document.createElement('a');
+        right.className = 'xinhuaRightBtn';
+        right.innerText = '>>|';
+
+        pager.addEventListener('click', function (evt) {
+            evt = evt || window.event; //兼容ie
+
+            var cName = evt.target.className; // 读取点击dom的 class
+            var dom = document.getElementById('xinhuaPagerBox');
+
+            // 切换分页
+            if (cName == 'xinhuaLeftBtn') {
+                curIndex -= 1;
+                renderFun(result[curIndex], pageNum, dom);
+            }
+            if (cName == 'xinhuaRightBtn') {
+                curIndex += 1;
+                renderFun(result[curIndex], pageNum, dom);
+            }
+        }, false);
+
+        for (var key in aStyle) {
+            left.style[key] = aStyle[key];
+            right.style[key] = aStyle[key];
+        }
+        if (pageNum > 1) {
+            // 上一页
+            var prev = document.createElement('a');
+            for (var key in aStyle) {
+                prev.style[key] = aStyle[key];
+            }
+            prev.href = window.location.pathname + '?page=' + (pageNum - 1);
+            prev.innerText = preText;
+            pager.appendChild(prev);
+        }
+
+        // 用来盛放 页码
+        var pagerBox = document.createElement('span');
+        pagerBox.setAttribute('id', 'xinhuaPagerBox');
+        pager.appendChild(pagerBox);
+
+        if (pageNum < pagesLen) {
+            // 下一页
+            var next = document.createElement('a');
+            for (var key in aStyle) {
+                next.style[key] = aStyle[key];
+            }
+            next.href = window.location.pathname + '?page=' + (pageNum + 1);
+            next.innerText = nextText;
+            pager.appendChild(next);
+        }
+
+        // console.log(111)
+        pager.appendChild(right);
+        renderFun(renderArr, pageNum, pagerBox);
+        // console.log(222)
+
+        contentElem.appendChild(pager);
+
+        // 内容区域添加监听
+        contentElem.addEventListener("click", function (evt) {
+            evt = evt || window.event; //兼容ie
+            var clickNode = evt.target;
+            var parentNode = clickNode.parentNode;
+            if (clickNode.nodeName === "IMG") {
+                pageNum += 1;
+                if (pageNum > pagesLen) {
+                    pageNum = pagesLen;
+                    return;
+                }
+                if (parentNode.nodeName === "A") {
+                    // c_1310560642_2.htm
+                    // 备份 a 标签地址
+                    var copyHref = parentNode.href;
+                    // 阻止 a 标签的默认跳转行为
+                    parentNode.href = "javascript:;";
+                    // 获取 地址的最后一位 匹配是否符合 cms分页规则
+                    var hrefArr = copyHref.split('/');
+                    var lastStr = hrefArr[hrefArr.length - 1];
+                    // cms 分页规则  {c_1310560642_2.htm}
+                    var reg = new RegExp("^c_1[1|2|3][0-9]+_[0-9]{0,3}.htm$");
+                    // 符合规则直接跳转下一页
+                    if (reg.test(lastStr)) {
+                        window.location.href = window.location.pathname + '?page=' + pageNum;
+                    } else {
+                        // 不符合规则则继续跳转
+                        parentNode.href = copyHref;
+                    }
+                } else {
+                    window.location.href = window.location.pathname + '?page=' + pageNum;
+                }
+            }
+        }, false);
+
+        // 设置翻页按钮链接
+        if (isShowPicButton) {
+            setPicLink(pagesLen);
+        }
+    }
+
+    // 渲染分页
+    function renderFun(arr, pageNum, dom) {
+        // console.log(333)
+        dom.innerHTML = ""; // 置空当前dom 所有元素 下面重新渲染
+        for (var _index = 0; _index < arr.length; _index++) {
+            var ele = arr[_index];
+            // 判断当前 是否是选中
+            if (pageNum == ele) {
+                var a = document.createElement('span');
+                for (var key in spanStyle) {
+                    a.style[key] = spanStyle[key];
+                }
+                a.innerText = ele;
+                dom.appendChild(a);
+            } else {
+                var a = document.createElement('a');
+                for (var key in aStyle) {
+                    a.style[key] = aStyle[key];
+                }
+                a.href = window.location.pathname + '?page=' + ele;
+                a.innerText = ele;
+                dom.appendChild(a);
+            }
+        }
+
+        setTimeout(function (params) {
+            var totalNum = Math.ceil(pagesLen / num);
+            var rightbtn = document.getElementsByClassName('xinhuaRightBtn')[0];
+            var leftbtn = document.getElementsByClassName('xinhuaLeftBtn')[0];
+
+            if (rightbtn && leftbtn) {
+                // 判断如果是最后一页和第一页隐藏按钮 |<< ， >>|
+                if (curIndex == totalNum - 1 || curIndex == 0) {
+                    // rightbtn.style.display = 'none'
+                    // console.log('1')
+                    // 判断只有一页时
+                    if (curIndex == 0) {
+                        leftbtn.style.display = 'none';
+                    } else {
+                        leftbtn.style.display = 'inline-block';
+                    }
+                    if (curIndex == totalNum - 1) {
+                        rightbtn.style.display = 'none';
+                    } else {
+                        rightbtn.style.display = 'inline-block';
+                    }
+                }
+                // else if (curIndex == 0) {
+                //     leftbtn.style.display = 'none'
+                //     console.log('2')
+                //     if (curIndex == totalNum - 1) {
+                //         rightbtn.style.display = 'none'
+                //     } else {
+                //         rightbtn.style.display = 'inline-block'
+                //     }
+                // } 
+                else {
+                    leftbtn.style.display = 'inline-block';
+                    rightbtn.style.display = 'inline-block';
+
+                }
+            }
+        }, 0);
+
+
+    }
+}
+
+function setPicLink(picLinkLenght) {
+    if (!$(".xinhuaPager").length) {
+        return false;
+    }
+    // console.log("picLinkLenght", picLinkLenght)
+    var pageSrc = window.location.href;
+    var pageSrcArr = pageSrc.split("?page=");
+    var pageNum = 1;
+    var leftLink = "";
+    var rightLink = "";
+    if (pageSrc.indexOf("page=") !== -1) { // 判断非第一页时，当前的页数
+        pageNum = parseInt(pageSrc.substring(pageSrc.indexOf("page=") + 5, pageSrc.length));
+    }
+    // console.log("pageNum", pageNum)
+    if (pageNum == 1) {
+        // console.log("第一页")
+        leftLink = pageSrcArr[0] + "?page=" + picLinkLenght;
+        rightLink = pageSrcArr[0] + "?page=" + (pageNum + 1);
+    } else if (pageNum == picLinkLenght) {
+        // console.log("最后一页")
+        leftLink = pageSrcArr[0] + "?page=" + (pageNum - 1);
+        rightLink = pageSrcArr[0];
+    } else {
+        // console.log("中间页面")
+        leftLink = pageSrcArr[0] + "?page=" + (pageNum - 1);
+        rightLink = pageSrcArr[0] + "?page=" + (pageNum + 1);
+    }
+    // console.log("leftLink", leftLink)
+    // console.log("rightLink", rightLink)
+    $("#detail img").each(function (i) {
+        if ($(this).attr("id") == "wxsharepic") {
+            return false;
+        }
+        $(this).wrap("<div class='dask'></div>").parent().append("<a href='#' class='picleft'></a><a href='#' class='picright'></a>").parent().addClass("bigPic");
+        this.style.cursor = "pointer";
+        $(this).siblings(".picleft").attr("href", leftLink).siblings(".picright").attr("href", rightLink);
+        // $(".dask").hover(function () {
+        //     $(".dask .picleft,.dask .picright").show();
+        // }, function () {
+        //     $(".dask .picleft,.dask .picright").hide();
+        // })
+    });
+}
\ No newline at end of file
diff --git "a/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/qrcode-app.png" "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/qrcode-app.png"
new file mode 100644
index 00000000..74006b5b
Binary files /dev/null and "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/qrcode-app.png" differ
diff --git "a/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/qrcode-wap.png" "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/qrcode-wap.png"
new file mode 100644
index 00000000..4547f6f3
Binary files /dev/null and "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/qrcode-wap.png" differ
diff --git "a/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/reset.css" "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/reset.css"
new file mode 100644
index 00000000..fe418ec5
--- /dev/null
+++ "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/reset.css"	
@@ -0,0 +1,153 @@
+@charset "utf-8";
+
+/*
+    * @time Wed Nov 25 2020 14:05:37 GMT+0800 (中国标准时间)
+*/
+
+
+.clearfix:after,
+body,
+dd,
+div,
+dl,
+dt,
+form,
+h1,
+h2,
+h3,
+h4,
+h5,
+h6,
+hr,
+html,
+input,
+label,
+li,
+ol,
+p,
+pre,
+table,
+tbody,
+td,
+textarea,
+tfoot,
+th,
+thead,
+tr,
+ul,
+figure {
+    margin: 0;
+    padding: 0
+}
+
+body,
+html {
+    height: 100%
+}
+
+body {
+    font-family: 'PingFang SC', "XHW-pzh", 'Lantinghei SC', 'Helvetica Neue', Helvetica, Arial, 'Microsoft YaHei', '微软雅黑', STHeitiSC-Light, simsun, '宋体', 'WenQuanYi Zen Hei', 'WenQuanYi Micro Hei', sans-serif
+}
+
+li {
+    list-style-type: none
+}
+
+a {
+    text-decoration: none;
+    outline: 0;
+    color: #000;
+}
+
+a:hover {
+    text-decoration: none;
+    color: #ff9724 !important
+}
+
+table {
+    border-collapse: collapse;
+    border-spacing: 0
+}
+
+iframe,
+img {
+    border: 0
+}
+
+img {
+    vertical-align: top
+}
+
+.clearfix {
+    display: block
+}
+
+.clearfix:after {
+    content: '';
+    overflow: hidden;
+    width: 100%;
+    height: 0;
+    font-size: 0;
+    display: block;
+    clear: both
+}
+
+.part {
+    width: 1200px;
+    margin: 0 auto
+}
+
+.left {
+    float: left
+}
+
+.right {
+    float: right
+}
+
+i {
+    font-style: normal
+}
+
+.grid-1200 {
+    width: 1200px
+}
+
+.grid-120 {
+    width: 120px
+}
+
+.grid-700 {
+    width: 700px
+}
+
+.grid-320 {
+    width: 320px
+}
+
+.mr-30 {
+    margin-right: 30px
+}
+
+.ml-30 {
+    margin-left: 30px
+}
+
+/*lhr,cl于20211201进行视频播放器样式覆写，修改视频absolute问题*/
+.player-container {
+    overflow: hidden;
+}
+
+.player-container .dhy-video {
+    position: static !important;
+}
+/*20240226社发稿标签间距*/
+figure{ margin-bottom: 20px;}
+
+/*破折号字体*/
+@font-face {
+    font-family: "XHW-pzh";
+    src: url('http://www.news.cn/global/public/text/XHW-pzh.woff2') format('woff2'),
+        url('http://www.news.cn/global/public/text/XHW-pzh.woff') format('woff'),
+        url('http://www.news.cn/global/public/text/XHW-pzh.ttf') format('truetype');
+}
\ No newline at end of file
diff --git "a/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/saved_resource.html" "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/saved_resource.html"
new file mode 100644
index 00000000..afab6566
--- /dev/null
+++ "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/saved_resource.html"	
@@ -0,0 +1,23 @@
+
+<!-- saved from url=(0011)about:blank -->
+<html><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><style class="ariareader ariareader--user-agent" media="screen" id="ariamuhitrs85m8" data-for="result" isaria="true">.ariafocus{outline:none;}body.useOldFixed [aria-fixedOldHidden=true],.ariaHide{display:none !important;}:focus{outline:none !important;}</style></head><body marginwidth="0" marginheight="0" data-new-gr-c-s-check-loaded="14.1182.0" data-gr-ext-installed=""></body><grammarly-desktop-integration data-grammarly-shadow-root="true"><template shadowrootmode="open"><style>
+      div.grammarly-desktop-integration {
+        position: absolute;
+        width: 1px;
+        height: 1px;
+        padding: 0;
+        margin: -1px;
+        overflow: hidden;
+        clip: rect(0, 0, 0, 0);
+        white-space: nowrap;
+        border: 0;
+        -moz-user-select: none;
+        -webkit-user-select: none;
+        -ms-user-select:none;
+        user-select:none;
+      }
+
+      div.grammarly-desktop-integration:before {
+        content: attr(data-content);
+      }
+    </style><div aria-label="grammarly-integration" role="group" tabindex="-1" class="grammarly-desktop-integration" data-content="{&quot;mode&quot;:&quot;full&quot;,&quot;isActive&quot;:true,&quot;isUserDisabled&quot;:false}"></div></template></grammarly-desktop-integration></html>
\ No newline at end of file
diff --git "a/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/share.js" "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/share.js"
new file mode 100644
index 00000000..6ef3f601
--- /dev/null
+++ "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/share.js"	
@@ -0,0 +1,62 @@
+"use strict";
+
+/* 微信分享 */
+function wxConfig(config) {
+  console.log(config);
+  var url = 'http://api.home.news.cn/wx/jsapi.do';
+  $.ajax({
+    url: url,
+    type: 'get',
+    // 设置的是请求参数
+    data: {
+      // mpId: 356,
+      mpId: 390,
+      url: window.location.href
+    },
+    dataType: 'jsonp',
+    success: function success(res) {
+      console.log(res);
+
+      if (res.code === 200) {
+        window.wx.config({
+          debug: false,
+          // 开启调试模式,调用的所有api的返回值会在客户端// alert出来，若要查看传入的参数，可以在pc端打开，参数信息会通过log打出，仅在pc端时才会打印。
+          appId: res.content.appId,
+          // 必填，公众号的唯一标识
+          timestamp: res.content.timestamp,
+          // 必填，生成签名的时间戳
+          nonceStr: res.content.nonceStr,
+          // 必填，生成签名的随机串
+          signature: res.content.signature,
+          // 必填，签名，见附录1
+          jsApiList: ['updateAppMessageShareData', 'updateTimelineShareData', 'chooseImage', 'getLocalImgData'] // 必填，需要使用的JS接口列表，所有JS接口列表见附录2
+
+        }); // config.callback && config.callback(config.data)
+
+        wxReady(config);
+      }
+    }
+  });
+}
+
+function wxReady(config) {
+  window.wx.ready(function () {
+    // window.global.canUse = true
+    // alert('can')
+    // alert(config.imgUrl)
+    // 自定义“分享给朋友”及“分享到QQ”按钮的分享内容
+    window.wx.updateAppMessageShareData({
+      title: config.title,
+      desc: config.desc,
+      link: config.link,
+      imgUrl: config.imgUrl
+    }); // 自定义“分享到朋友圈”及“分享到QQ空间”按钮的分享内容
+
+    window.wx.updateTimelineShareData({
+      title: config.title,
+      link: config.link,
+      imgUrl: config.imgUrl
+    });
+  });
+}
+//# sourceMappingURL=maps/share.js.map
diff --git "a/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/smallTop.js" "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/smallTop.js"
new file mode 100644
index 00000000..43d8cb98
--- /dev/null
+++ "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/smallTop.js"	
@@ -0,0 +1,150 @@
+var topPcStyles =
+    '<style>' +
+    '.top .part{width:1200px;}' +
+    '.top .top-upper{width:100%;height:40px;background:#024ac2}' +
+    '.top .top-upper .slogan{width:163px;height:40px;background:url(http://www.news.cn/2023homepro/images/slogan.png) center center no-repeat}' +
+    '.top .top-upper .top-upper-cont{font-size:0}' +
+    '.top .top-upper .top-upper-cont .channel{position:relative;z-index:30;display:inline-block;margin-left:22px;font-size:12px;line-height:40px;color:#fff;cursor:pointer}' +
+    '.top .top-upper .top-upper-cont .channel a{color:#fff}' +
+    '.top .top-upper .top-upper-cont .channel span{padding-right:15px;background:url(http://www.news.cn/2023homepro/images/icon-down.png) right center no-repeat}' +
+    '.top .top-upper .top-upper-cont .channel .sub{display:none;position:absolute;top:40px;line-height:26px;padding:10px;width:510px;-webkit-box-shadow:0 2px 5px #ccc;-moz-box-shadow:0 2px 5px #ccc;box-shadow:0 2px 5px #ccc;background:#fff;border:1px solid #ccc;border-top:0}' +
+    '.top .top-upper .top-upper-cont .channel .sub a{display:inline-block;color:#666;margin-left:5px;margin-right:5px}' +
+    '.top .top-upper .top-upper-cont .channel:hover .sub{display:block}' +
+    '.top .top-upper .top-upper-cont .newspapers .sub{left:-18px}' +
+    '.top .top-upper .top-upper-cont .local .sub{left:-103px}' +
+    '.top .top-upper .top-upper-cont .contract .sub{left:-136px;width:458px}' +
+    '.top .top-upper .top-upper-cont .client{padding-left:24px;background:url(http://www.news.cn/2023homepro/images/icon-phone.png) left center no-repeat;color:#fff}' +
+    '.top .top-upper .top-upper-cont .client a{color:#fff}' +
+    '.top .top-upper .top-upper-cont .client .sub{width:100px;left:-30px}' +
+    '.top .top-upper .top-upper-cont .client img{width:100px;height:100px}' +
+    '.top .top-upper .top-upper-cont .wap{margin-left:16px;padding-left:24px;background:url(http://www.news.cn/2023homepro/images/icon-wap.png) left center no-repeat;color:#fff}' +
+    '.top .top-upper .top-upper-cont .wap a{color:#fff}' +
+    '.top .top-upper .top-upper-cont .wap .sub{width:100px;left:-30px}' +
+    '.top .top-upper .top-upper-cont .wap img{width:100px;height:100px}' +
+    '.top .top-upper .top-upper-cont .search{margin-left:16px;padding-left:22px;background:url(http://www.news.cn/2023homepro/images/icon-search.png) left center no-repeat;color:#fff}' +
+    '.top .top-upper .top-upper-cont .search a{color:#fff}' +
+    '.top .top-cont{-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box;padding:10px 0;height:90px;width:100%;border-bottom:1px solid #e4e4e4;background:#fff}' +
+    '.top .top-cont .logo img{height:100%;width:auto}' +
+    '.top .top-cont .company{margin-left:10px}' +
+    '.top .top-cont .company a,.top .top-cont .company span{font-size:14px;line-height:24px;display:block;color:#666}' +
+    '.top .top-cont .company .stock{font-weight:700;font-size:12px}' +
+    '.top .top-cont .company .stock i{color:#378de4}' +
+    '.top .top-cont .nav{width:950px;-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box;padding:8px 0;font-size:0;white-space:nowrap}' +
+    '.top .top-cont .nav .nav-item a{margin-left:9.5px;line-height:28px;display:inline-block;vertical-align:top;font-size:14px;color:#404040}' +
+    '.top .top-cont .nav .nav-item.nav-bottom a{margin-left:9.2px}' +
+    '</style>'
+var topPcDom =
+    '<div class="top domPc domPC">' +
+    '<div class="top-upper"> ' +
+    '<div class="part clearfix"> ' +
+    '<div class="slogan left"> </div>' +
+    '<div class="top-upper-cont right">' +
+    '<div class="channel foreign"><span>ENGLISH</span>' +
+    '<div class="sub">' +
+    '<div class="sub-cont"><a href="https://english.news.cn/home.htm" target="_blank">English</a><a href="https://spanish.news.cn/index.htm" target="_blank">Español</a><a href="https://french.news.cn/index.htm" target="_blank">Français</a><a href="https://arabic.news.cn/index.htm" target="_blank">عربى</a><a href="https://russian.news.cn/index.htm" target="_blank">Русский язык</a><a href="https://jp.news.cn/index.htm" target="_blank">日本語</a><a href="https://kr.news.cn/index.htm" target="_blank">한국어</a><a href="https://german.news.cn/index.htm" target="_blank">Deutsch</a><a href="https://portuguese.news.cn/index.htm" target="_blank">Português</a></div>' +
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\ No newline at end of file
diff --git "a/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/swiper.min.css" "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/swiper.min.css"
new file mode 100644
index 00000000..d1b41ef9
--- /dev/null
+++ "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/swiper.min.css"	
@@ -0,0 +1,16 @@
+@charset "utf-8";
+/**
+ * Swiper 3.4.2
+ * Most modern mobile touch slider and framework with hardware accelerated transitions
+ * 
+ * http://www.idangero.us/swiper/
+ * 
+ * Copyright 2017, Vladimir Kharlampidi
+ * The iDangero.us
+ * http://www.idangero.us/
+ * 
+ * Licensed under MIT
+ * 
+ * Released on: March 10, 2017
+ */
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.swiper-slide,.swiper-wrapper{-webkit-transform:translate3d(0,0,0);-moz-transform:translate3d(0,0,0);-o-transform:translate(0,0);-ms-transform:translate3d(0,0,0);transform:translate3d(0,0,0)}.swiper-container-multirow>.swiper-wrapper{-webkit-box-lines:multiple;-moz-box-lines:multiple;-ms-flex-wrap:wrap;-webkit-flex-wrap:wrap;flex-wrap:wrap}.swiper-container-free-mode>.swiper-wrapper{-webkit-transition-timing-function:ease-out;-moz-transition-timing-function:ease-out;-ms-transition-timing-function:ease-out;-o-transition-timing-function:ease-out;transition-timing-function:ease-out;margin:0 auto}.swiper-slide{-webkit-flex-shrink:0;-ms-flex:0 0 auto;flex-shrink:0;width:100%;height:100%;position:relative}.swiper-container-autoheight,.swiper-container-autoheight .swiper-slide{height:auto}.swiper-container-autoheight .swiper-wrapper{-webkit-box-align:start;-ms-flex-align:start;-webkit-align-items:flex-start;align-items:flex-start;-webkit-transition-property:-webkit-transform,height;-moz-transition-property:-moz-transform;-o-transition-property:-o-transform;-ms-transition-property:-ms-transform;transition-property:transform,height}.swiper-container .swiper-notification{position:absolute;left:0;top:0;pointer-events:none;opacity:0;z-index:-1000}.swiper-wp8-horizontal{-ms-touch-action:pan-y;touch-action:pan-y}.swiper-wp8-vertical{-ms-touch-action:pan-x;touch-action:pan-x}.swiper-button-next,.swiper-button-prev{position:absolute;top:50%;width:27px;height:44px;margin-top:-22px;z-index:10;cursor:pointer;-moz-background-size:27px 44px;-webkit-background-size:27px 44px;background-size:27px 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\ No newline at end of file
diff --git "a/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/swiper.min.js" "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/swiper.min.js"
new file mode 100644
index 00000000..61e154f1
--- /dev/null
+++ "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/swiper.min.js"	
@@ -0,0 +1,19 @@
+/**
+ * Swiper 3.4.2
+ * Most modern mobile touch slider and framework with hardware accelerated transitions
+ * 
+ * http://www.idangero.us/swiper/
+ * 
+ * Copyright 2017, Vladimir Kharlampidi
+ * The iDangero.us
+ * http://www.idangero.us/
+ * 
+ * Licensed under MIT
+ * 
+ * Released on: March 10, 2017
+ */
+!function(){"use strict";var e,a=function(s,i){function r(e){return Math.floor(e)}function n(){var e=T.params.autoplay,a=T.slides.eq(T.activeIndex);a.attr("data-swiper-autoplay")&&(e=a.attr("data-swiper-autoplay")||T.params.autoplay),T.autoplayTimeoutId=setTimeout(function(){T.params.loop?(T.fixLoop(),T._slideNext(),T.emit("onAutoplay",T)):T.isEnd?i.autoplayStopOnLast?T.stopAutoplay():(T._slideTo(0),T.emit("onAutoplay",T)):(T._slideNext(),T.emit("onAutoplay",T))},e)}function o(a,t){var s=e(a.target);if(!s.is(t))if("string"==typeof t)s=s.parents(t);else if(t.nodeType){var i;return s.parents().each(function(e,a){a===t&&(i=t)}),i?t:void 0}if(0!==s.length)return s[0]}function l(e,a){a=a||{};var t=window.MutationObserver||window.WebkitMutationObserver,s=new t(function(e){e.forEach(function(e){T.onResize(!0),T.emit("onObserverUpdate",T,e)})});s.observe(e,{attributes:void 0===a.attributes||a.attributes,childList:void 0===a.childList||a.childList,characterData:void 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t=e(this).index()*T.params.slidesPerGroup;T.params.loop&&(t+=T.loopedSlides),T.slideTo(t)},
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r,n=T.clickedIndex,l="auto"===T.params.slidesPerView?T.currentSlidesPerView():T.params.slidesPerView;if(T.params.loop){if(T.animating)return;r=parseInt(e(T.clickedSlide).attr("data-swiper-slide-index"),10),T.params.centeredSlides?n<T.loopedSlides-l/2||n>T.slides.length-T.loopedSlides+l/2?(T.fixLoop(),n=T.wrapper.children("."+T.params.slideClass+'[data-swiper-slide-index="'+r+'"]:not(.'+T.params.slideDuplicateClass+")").eq(0).index(),setTimeout(function(){T.slideTo(n)},0)):T.slideTo(n):n>T.slides.length-l?(T.fixLoop(),n=T.wrapper.children("."+T.params.slideClass+'[data-swiper-slide-index="'+r+'"]:not(.'+T.params.slideDuplicateClass+")").eq(0).index(),setTimeout(function(){T.slideTo(n)},0)):T.slideTo(n)}else T.slideTo(n)}};var S,C,z,M,E,P,I,k,L,D,B="input, select, textarea, button, video",H=Date.now(),G=[];T.animating=!1,T.touches={startX:0,startY:0,currentX:0,currentY:0,diff:0};var 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i=!0;e(a.target).is(B)&&(i=!1),document.activeElement&&e(document.activeElement).is(B)&&document.activeElement.blur(),i&&a.preventDefault()}T.emit("onTouchStart",T,a)}}}},T.onTouchMove=function(a){if(a.originalEvent&&(a=a.originalEvent),!X||"mousemove"!==a.type){if(a.preventedByNestedSwiper)return T.touches.startX="touchmove"===a.type?a.targetTouches[0].pageX:a.pageX,void(T.touches.startY="touchmove"===a.type?a.targetTouches[0].pageY:a.pageY);if(T.params.onlyExternal)return T.allowClick=!1,void(S&&(T.touches.startX=T.touches.currentX="touchmove"===a.type?a.targetTouches[0].pageX:a.pageX,T.touches.startY=T.touches.currentY="touchmove"===a.type?a.targetTouches[0].pageY:a.pageY,M=Date.now()));if(X&&T.params.touchReleaseOnEdges&&!T.params.loop)if(T.isHorizontal()){if(T.touches.currentX<T.touches.startX&&T.translate<=T.maxTranslate()||T.touches.currentX>T.touches.startX&&T.translate>=T.minTranslate())return}else 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r=!0;if(s>0&&P>T.minTranslate()?(r=!1,T.params.resistance&&(P=T.minTranslate()-1+Math.pow(-T.minTranslate()+I+s,T.params.resistanceRatio))):s<0&&P<T.maxTranslate()&&(r=!1,T.params.resistance&&(P=T.maxTranslate()+1-Math.pow(T.maxTranslate()-I-s,T.params.resistanceRatio))),r&&(a.preventedByNestedSwiper=!0),!T.params.allowSwipeToNext&&"next"===T.swipeDirection&&P<I&&(P=I),!T.params.allowSwipeToPrev&&"prev"===T.swipeDirection&&P>I&&(P=I),T.params.threshold>0){if(!(Math.abs(s)>T.params.threshold||k))return void(P=I);if(!k)return k=!0,T.touches.startX=T.touches.currentX,T.touches.startY=T.touches.currentY,P=I,void(T.touches.diff=T.isHorizontal()?T.touches.currentX-T.touches.startX:T.touches.currentY-T.touches.startY)}T.params.followFinger&&((T.params.freeMode||T.params.watchSlidesProgress)&&T.updateActiveIndex(),T.params.freeMode&&(0===G.length&&G.push({position:T.touches[T.isHorizontal()?"startX":"startY"],time:M}),G.push({position:T.touches[T.isHorizontal()?"currentX":"currentY"],time:(new 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0===e&&(e=!0),T.lazy&&T.lazy.onTransitionEnd(),e&&(T.emit("onTransitionEnd",T),T.activeIndex!==T.previousIndex&&(T.emit("onSlideChangeEnd",T),T.activeIndex>T.previousIndex?T.emit("onSlideNextEnd",T):T.emit("onSlidePrevEnd",T))),T.params.history&&T.history&&T.history.setHistory(T.params.history,T.activeIndex),T.params.hashnav&&T.hashnav&&T.hashnav.setHash()},T.slideNext=function(e,a,t){if(T.params.loop){if(T.animating)return!1;T.fixLoop();T.container[0].clientLeft;return T.slideTo(T.activeIndex+T.params.slidesPerGroup,a,e,t)}return T.slideTo(T.activeIndex+T.params.slidesPerGroup,a,e,t)},T._slideNext=function(e){return T.slideNext(!0,e,!0)},T.slidePrev=function(e,a,t){if(T.params.loop){if(T.animating)return!1;T.fixLoop();T.container[0].clientLeft;return T.slideTo(T.activeIndex-1,a,e,t)}return T.slideTo(T.activeIndex-1,a,e,t)},T._slidePrev=function(e){return T.slidePrev(!0,e,!0)},T.slideReset=function(e,a,t){return T.slideTo(T.activeIndex,a,e)},T.disableTouchControl=function(){return T.params.onlyExternal=!0,!0},T.enableTouchControl=function(){return T.params.onlyExternal=!1,!0},T.setWrapperTransition=function(e,a){T.wrapper.transition(e),"slide"!==T.params.effect&&T.effects[T.params.effect]&&T.effects[T.params.effect].setTransition(e),T.params.parallax&&T.parallax&&T.parallax.setTransition(e),T.params.scrollbar&&T.scrollbar&&T.scrollbar.setTransition(e),T.params.control&&T.controller&&T.controller.setTransition(e,a),T.emit("onSetTransition",T,e)},T.setWrapperTranslate=function(e,a,t){var s=0,i=0;T.isHorizontal()?s=T.rtl?-e:e:i=e,T.params.roundLengths&&(s=r(s),i=r(i)),T.params.virtualTranslate||(T.support.transforms3d?T.wrapper.transform("translate3d("+s+"px, "+i+"px, 0px)"):T.wrapper.transform("translate("+s+"px, "+i+"px)")),T.translate=T.isHorizontal()?s:i;var 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T.wrapper.prepend(e);T.params.loop&&T.createLoop(),T.params.observer&&T.support.observer||T.update(!0),T.slideTo(a,0,!1)},T.removeSlide=function(e){T.params.loop&&(T.destroyLoop(),T.slides=T.wrapper.children("."+T.params.slideClass));var a,t=T.activeIndex;if("object"==typeof e&&e.length){for(var s=0;s<e.length;s++)a=e[s],T.slides[a]&&T.slides.eq(a).remove(),a<t&&t--;t=Math.max(t,0)}else a=e,T.slides[a]&&T.slides.eq(a).remove(),a<t&&t--,t=Math.max(t,0);T.params.loop&&T.createLoop(),T.params.observer&&T.support.observer||T.update(!0),T.params.loop?T.slideTo(t+T.loopedSlides,0,!1):T.slideTo(t,0,!1)},T.removeAllSlides=function(){for(var e=[],a=0;a<T.slides.length;a++)e.push(a);T.removeSlide(e)},T.effects={fade:{setTranslate:function(){for(var e=0;e<T.slides.length;e++){var a=T.slides.eq(e),t=a[0].swiperSlideOffset,s=-t;T.params.virtualTranslate||(s-=T.translate);var i=0;T.isHorizontal()||(i=s,s=0);var 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d=T.isHorizontal()?t.find(".swiper-slide-shadow-left"):t.find(".swiper-slide-shadow-top"),u=T.isHorizontal()?t.find(".swiper-slide-shadow-right"):t.find(".swiper-slide-shadow-bottom");0===d.length&&(d=e('<div class="swiper-slide-shadow-'+(T.isHorizontal()?"left":"top")+'"></div>'),t.append(d)),0===u.length&&(u=e('<div class="swiper-slide-shadow-'+(T.isHorizontal()?"right":"bottom")+'"></div>'),t.append(u)),d.length&&(d[0].style.opacity=Math.max(-s,0)),u.length&&(u[0].style.opacity=Math.max(s,0))}t.transform("translate3d("+l+"px, "+p+"px, 0px) rotateX("+o+"deg) rotateY("+n+"deg)")}},setTransition:function(a){if(T.slides.transition(a).find(".swiper-slide-shadow-top, .swiper-slide-shadow-right, .swiper-slide-shadow-bottom, .swiper-slide-shadow-left").transition(a),T.params.virtualTranslate&&0!==a){var t=!1;T.slides.eq(T.activeIndex).transitionEnd(function(){if(!t&&T&&e(this).hasClass(T.params.slideActiveClass)){t=!0,T.animating=!1;for(var 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a=T.zoom;if(!T.support.gestures){if("touchmove"!==e.type||"touchmove"===e.type&&e.targetTouches.length<2)return;a.gesture.scaleMove=a.getDistanceBetweenTouches(e)}a.gesture.image&&0!==a.gesture.image.length&&(T.support.gestures?a.scale=e.scale*a.currentScale:a.scale=a.gesture.scaleMove/a.gesture.scaleStart*a.currentScale,a.scale>a.gesture.zoomMax&&(a.scale=a.gesture.zoomMax-1+Math.pow(a.scale-a.gesture.zoomMax+1,.5)),a.scale<T.params.zoomMin&&(a.scale=T.params.zoomMin+1-Math.pow(T.params.zoomMin-a.scale+1,.5)),a.gesture.image.transform("translate3d(0,0,0) scale("+a.scale+")"))},onGestureEnd:function(e){var a=T.zoom;!T.support.gestures&&("touchend"!==e.type||"touchend"===e.type&&e.changedTouches.length<2)||a.gesture.image&&0!==a.gesture.image.length&&(a.scale=Math.max(Math.min(a.scale,a.gesture.zoomMax),T.params.zoomMin),a.gesture.image.transition(T.params.speed).transform("translate3d(0,0,0) scale("+a.scale+")"),a.currentScale=a.scale,a.isScaling=!1,1===a.scale&&(a.gesture.slide=void 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+return this.length>0?e?this[0].offsetWidth+parseFloat(this.css("margin-right"))+parseFloat(this.css("margin-left")):this[0].offsetWidth:null})),window.Swiper=a}(),"undefined"!=typeof module?module.exports=window.Swiper:"function"==typeof define&&define.amd&&define([],function(){"use strict";return window.Swiper});
+//# sourceMappingURL=maps/swiper.min.js.map
diff --git "a/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/toppx.js" "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/toppx.js"
new file mode 100644
index 00000000..4dc6a02d
--- /dev/null
+++ "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/toppx.js"	
@@ -0,0 +1,571 @@
+var topMbStyles =
+    '<style>' +
+    '.mob-top {' +
+    'background: #024ac2;' +
+    'position: relative;' +
+    'z-index: 990;' +
+    '}' +
+    '.mob-top .mob-top-upper {' +
+    '-webkit-box-sizing: border-box;' +
+    '-moz-box-sizing: border-box;' +
+    'box-sizing: border-box;' +
+    'padding: 15px;' +
+    'height: 68px;' +
+    'width: 100%;' +
+    '}' +
+    '.mob-top .mob-top-upper .logo {' +
+    'float: left;' +
+    'font-size: 0;' +
+    '}' +
+    '.mob-top .mob-top-upper .logo img {' +
+    'width: auto;' +
+    'height: 38px;' +
+    'display: inline-block;' +
+    'vertical-align: top;' +
+    '}' +
+    '.mob-top .mob-top-upper .logo i {' +
+    'font-size: 12px;' +
+    'color: #fff;' +
+    '}' +
+    '.mob-top .mob-top-upper .wza {' +
+    'float: right;' +
+    'margin-top: 12px;' +
+    'margin-left: 10px;' +
+    'font-size: 12px;' +
+    'color: #fff;' +
+    '}' +
+    '.mob-top .mob-top-upper .search-box {' +
+    'float: right;' +
+    'margin-top: 12px;' +
+    'width: 17px;' +
+    'height: 18px;' +
+    'background: url("data:image/png;base64,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") 0 0 no-repeat;' +
+    '-webkit-background-size: auto 100%;' +
+    '-moz-background-size: auto 100%;' +
+    'background-size: auto 100%;' +
+    '}' +
+    '.mob-top .mob-top-upper .pc {' +
+    'float: right;' +
+    'margin-top: 12px;' +
+    'margin-left:  10px;' +
+    'font-size: 12px;' +
+    'color: #fff;' +
+    '}' +
+    '.mob-top .mob-top-upper .pc img {' +
+    'margin-right: 5px;' +
+    'height: 17px;' +
+    'width: auto;' +
+    '}' +
+    '.mob-top .mob-top-upper .pc a {' +
+    'color: #fff;' +
+    '}' +
+    '.mob-top .mob-top-nav {' +
+    'position: relative;' +
+    'width: 100%;' +
+    // 'height: 1.244444rem;' +
+    'font-size: 0;' +
+    '-webkit-box-sizing: border-box;' +
+    '-moz-box-sizing: border-box;' +
+    'box-sizing: border-box;' +
+    'overflow: hidden;' +
+    'padding: 5px 2%;' +
+    'background: #f5f5f5; border:0!important;' +
+    '}' +
+    '.mob-top .mob-top-nav.fixed {' +
+    'position: fixed;' +
+    'top: 0;' +
+    'z-index: 999999;' +
+    '-webkit-border-radius: 0;' +
+    '-moz-border-radius: 0;' +
+    'border-radius: 0;' +
+    'background: #fff;' +
+    '}' +
+    '.mob-top .mob-top-nav .part {' +
+    '-webkit-box-sizing: border-box;' +
+    '-moz-box-sizing: border-box;' +
+    'box-sizing: border-box;' +
+    'display: -webkit-box;' +
+    'display: -webkit-flex;' +
+    'display: -moz-box;' +
+    'display: -ms-flexbox;' +
+    'display: flex;' +
+    '-webkit-box-align: center;' +
+    '-webkit-align-items: center;' +
+    '-moz-box-align: center;' +
+    '-ms-flex-align: center;' +
+    'align-items: center;' +
+    '-webkit-box-pack: justify;' +
+    '-webkit-justify-content: space-between;' +
+    '-moz-box-pack: justify;' +
+    '-ms-flex-pack: justify;' +
+    'justify-content: space-between;' +
+    'background: #fff;' +
+    '-webkit-border-radius: 5px;' +
+    '-moz-border-radius: 5px;' +
+    'border-radius: 5px;' +
+    'padding: 10px 5px 5px 5px;' +
+    'width:100%;' +
+    '}' +
+    '.mob-top .mob-top-nav .top-nav-pro {' +
+    'position: relative;' +
+    'width: -moz-calc(100% - 22px);' +
+    'width: calc(100% - 22px);' +
+    'color: #5b5b5b;' +
+    'font-size: 0;' +
+    '}' +
+    '.mob-top .mob-top-nav .top-nav-pro:after {' +
+    'content: "";' +
+    'width: 10px;' +
+    'height: 100%;' +
+    'display: block;' +
+    'position: absolute;' +
+    'right: 0;' +
+    'top: 0;' +
+    'z-index: 3;' +
+    'background: -webkit-gradient(linear,left top,right top,from(rgba(255, 255, 255, 0)),to(#fff));' +
+    'background: -webkit-linear-gradient(left,rgba(255, 255, 255, 0) 0,#fff 100%);' +
+    'background: -moz-linear-gradient(left, rgba(255, 255, 255, 0) 0, #fff 100%);' +
+    'background: linear-gradient(to right, rgba(255, 255, 255, 0) 0, #fff 100%);' +
+    '}' +
+    '.mob-top .mob-top-nav .top-nav-pro .top-nav-pro-cont {' +
+    'white-space: nowrap;' +
+    'overflow-y: hidden;' +
+    'overflow-x: auto;' +
+    '}' +
+    '.mob-top .mob-top-nav .top-nav-pro .top-nav-pro-cont a {' +
+    'position: relative;' +
+    'display: inline-block;' +
+    'margin-right: 10px;' +
+    'font-size: 16px;' +
+    'line-height: 26px;' +
+    'padding: 0 8px;' +
+    'color: #024ac2;' +
+    '}' +
+    '.mob-top .mob-top-nav .top-nav-pro .top-nav-pro-cont a:last-child {' +
+    'margin-right: 0;' +
+    '}' +
+    '.mob-top .mob-top-nav .top-nav-pro .top-nav-pro-cont a.active {' +
+    'font-size: 20px;' +
+    'color: #fff;' +
+    'background: #024ac2;' +
+    '-webkit-border-radius: 0 5px 5px 0;' +
+    '-moz-border-radius: 0 5px 5px 0;' +
+    'border-radius: 0 5px 5px 0;' +
+    '}' +
+    '.mob-top .mob-top-nav .top-nav-menu {' +
+    'width: 14px;' +
+    '}' +
+    '.mob-top .mob-top-nav .top-nav-menu .menu-box {' +
+    'height: 14px;' +
+    'width: 14px;' +
+    'position: relative;' +
+    '}' +
+    '.mob-top .mob-top-nav .top-nav-menu .menu-box .bar {' +
+    'height: 2px;' +
+    'width: 14px;' +
+    'display: block;' +
+    'position: absolute;' +
+    'background-color: #024ac2;' +
+    '-webkit-border-radius: 1px;' +
+    '-moz-border-radius: 1px;' +
+    'border-radius: 1px;' +
+    '-webkit-transition: 0.4s;' +
+    '-moz-transition: 0.4s;' +
+    'transition: 0.4s;' +
+    '}' +
+    '.mob-top .mob-top-nav .top-nav-menu .menu-box .bar:nth-of-type(1) {' +
+    'top: 0;' +
+    'width: 10px;' +
+    '}' +
+    '.mob-top .mob-top-nav .top-nav-menu .menu-box .bar:nth-of-type(1):after {' +
+    'content: "";' +
+    'position: absolute;' +
+    'right: -4px;' +
+    'top: -0.6px;' +
+    'width: 3px;' +
+    'height: 3px;' +
+    'background: #e50020;' +
+    '-webkit-border-radius: 50%;' +
+    '-moz-border-radius: 50%;' +
+    'border-radius: 50%;' +
+    '}' +
+    '.mob-top .mob-top-nav .top-nav-menu .menu-box .bar:nth-of-type(2) {' +
+    'top: 6px;' +
+    '}' +
+    '.mob-top .mob-top-nav .top-nav-menu .menu-box .bar:nth-of-type(3) {' +
+    'top: 12px;' +
+    '}' +
+    '.mob-top .mob-top-nav .top-nav-menu .menu-box.active .bar:nth-of-type(1) {' +
+    'top: 7.5px;' +
+    '-webkit-transform: rotate(-45deg);' +
+    '-moz-transform: rotate(-45deg);' +
+    '-ms-transform: rotate(-45deg);' +
+    'transform: rotate(-45deg);' +
+    '-webkit-transition: top 0.3s ease 0.1s, -webkit-transform 0.3s ease-out 0.5s;' +
+    'transition: top 0.3s ease 0.1s, -webkit-transform 0.3s ease-out 0.5s;' +
+    '-moz-transition: top 0.3s ease 0.1s, transform 0.3s ease-out 0.5s,-moz-transform 0.3s ease-out 0.5s;' +
+    'transition: top 0.3s ease 0.1s, transform 0.3s ease-out 0.5s;' +
+    'transition: top 0.3s ease 0.1s, transform 0.3s ease-out 0.5s,-webkit-transform 0.3s ease-out 0.5s, -moz-transform 0.3s ease-out 0.5s;' +
+    '}' +
+    '.mob-top .mob-top-nav .top-nav-menu .menu-box.active .bar:nth-of-type(2) {' +
+    'opacity: 0;' +
+    '}' +
+    '.mob-top .mob-top-nav .top-nav-menu .menu-box.active .bar:nth-of-type(3) {' +
+    'top: 6px;' +
+    '-webkit-transform: rotate(45deg);' +
+    '-moz-transform: rotate(45deg);' +
+    '-ms-transform: rotate(45deg);' +
+    'transform: rotate(45deg);' +
+    '-webkit-transition: top 0.3s ease 0.1s, -webkit-transform 0.3s ease-out 0.5s;' +
+    'transition: top 0.3s ease 0.1s, -webkit-transform 0.3s ease-out 0.5s;' +
+    '-moz-transition: top 0.3s ease 0.1s, transform 0.3s ease-out 0.5s,-moz-transform 0.3s ease-out 0.5s;' +
+    'transition: top 0.3s ease 0.1s, transform 0.3s ease-out 0.5s;' +
+    'transition: top 0.3s ease 0.1s, transform 0.3s ease-out 0.5s,-webkit-transform 0.3s ease-out 0.5s, -moz-transform 0.3s ease-out 0.5s;' +
+    '}' +
+    '.mob-map {' +
+    'position: fixed;' +
+    'top: 0;' +
+    'right: 0;' +
+    'left: 0;' +
+    'width: 100%;' +
+    'height: 0;' +
+    'z-index: 999;' +
+    'overflow-y: auto;' +
+    'overflow-x: hidden;' +
+    '-webkit-box-sizing: border-box;' +
+    '-moz-box-sizing: border-box;' +
+    'box-sizing: border-box;' +
+    'background: #024ac2;' +
+    '}' +
+    '.mob-map .mob-map-close {' +
+    'height: 14px;' +
+    'width: 14px;' +
+    'position: absolute;' +
+    'right: 22px;' +
+    'top: 16px;' +
+    '}' +
+    '.mob-map .mob-map-close .bar {' +
+    'height: 2px;' +
+    'width: 14px;' +
+    'display: block;' +
+    'position: absolute;' +
+    'background-color: #024ac2;' +
+    '-webkit-border-radius: 1px;' +
+    '-moz-border-radius: 1px;' +
+    'border-radius: 1px;' +
+    '-webkit-transition: 0.4s;' +
+    '-moz-transition: 0.4s;' +
+    'transition: 0.4s;' +
+    '}' +
+    '.mob-map .mob-map-close .bar:nth-of-type(1) {' +
+    'width: 10px;' +
+    'top: 7.5px;' +
+    '-webkit-transform: rotate(-45deg);' +
+    '-moz-transform: rotate(-45deg);' +
+    '-ms-transform: rotate(-45deg);' +
+    'transform: rotate(-45deg);' +
+    '-webkit-transition: top 0.3s ease 0.1s, -webkit-transform 0.3s ease-out 0.5s;' +
+    'transition: top 0.3s ease 0.1s, -webkit-transform 0.3s ease-out 0.5s;' +
+    '-moz-transition: top 0.3s ease 0.1s, transform 0.3s ease-out 0.5s,-moz-transform 0.3s ease-out 0.5s;' +
+    'transition: top 0.3s ease 0.1s, transform 0.3s ease-out 0.5s;' +
+    'transition: top 0.3s ease 0.1s, transform 0.3s ease-out 0.5s,-webkit-transform 0.3s ease-out 0.5s, -moz-transform 0.3s ease-out 0.5s;' +
+    '}' +
+    '.mob-map .mob-map-close .bar:nth-of-type(1):after {' +
+    'content: "";' +
+    'position: absolute;' +
+    'right: -4px;' +
+    'top: -0.6px;' +
+    'width: 3px;' +
+    'height: 3px;' +
+    'background: #e50020;' +
+    '-webkit-border-radius: 50%;' +
+    '-moz-border-radius: 50%;' +
+    'border-radius: 50%;' +
+    '}' +
+    '.mob-map .mob-map-close .bar:nth-of-type(2) {' +
+    'top: 6px;' +
+    'opacity: 0;' +
+    '}' +
+    '.mob-map .mob-map-close .bar:nth-of-type(3) {' +
+    'top: 6px;' +
+    '-webkit-transform: rotate(45deg);' +
+    '-moz-transform: rotate(45deg);' +
+    '-ms-transform: rotate(45deg);' +
+    'transform: rotate(45deg);' +
+    '-webkit-transition: top 0.3s ease 0.1s, -webkit-transform 0.3s ease-out 0.5s;' +
+    'transition: top 0.3s ease 0.1s, -webkit-transform 0.3s ease-out 0.5s;' +
+    '-moz-transition: top 0.3s ease 0.1s, transform 0.3s ease-out 0.5s,-moz-transform 0.3s ease-out 0.5s;' +
+    'transition: top 0.3s ease 0.1s, transform 0.3s ease-out 0.5s;' +
+    'transition: top 0.3s ease 0.1s, transform 0.3s ease-out 0.5s,-webkit-transform 0.3s ease-out 0.5s, -moz-transform 0.3s ease-out 0.5s;' +
+    '}' +
+    '.mob-map .mob-map-banner {' +
+    '-webkit-box-sizing: border-box;' +
+    '-moz-box-sizing: border-box;' +
+    'box-sizing: border-box;' +
+    'padding: 15px;' +
+    'height: 68px;' +
+    'position: relative;' +
+    'z-index: 990;' +
+    '}' +
+    '.mob-map .mob-map-banner .logo {' +
+    'float: left;' +
+    'font-size: 0;' +
+    '}' +
+    '.mob-map .mob-map-banner .logo img {' +
+    'width: auto;' +
+    'height: 38px;' +
+    'display: inline-block;' +
+    'vertical-align: top;' +
+    '}' +
+    '.mob-map .mob-map-banner .logo i {' +
+    'font-size: 12px;' +
+    'color: #fff;' +
+    '}' +
+    '.mob-map .mob-map-cont {' +
+    'position: relative;' +
+    '-webkit-border-radius: 22px 22px 0 0;' +
+    '-moz-border-radius: 22px 22px 0 0;' +
+    'border-radius: 22px 22px 0 0;' +
+    'background: #fff;' +
+    '}' +
+    '.mob-map .mob-map-title {' +
+    'position: relative;' +
+    'text-align: center;' +
+    'font-size: 18px;' +
+    'line-height: 48px;' +
+    'height: 48px;' +
+    'font-weight: 700;' +
+    'color: #212121;' +
+    'border-bottom: 1px solid #b8b8b8;' +
+    '}' +
+    '.mob-map .mob-map-part {' +
+    '-webkit-box-sizing: border-box;' +
+    '-moz-box-sizing: border-box;' +
+    'box-sizing: border-box;' +
+    'padding: 18px 18px;' +
+    'border-bottom: 2px solid #f0f0f0;' +
+    '}' +
+    '.mob-map .mob-map-part:last-child {' +
+    'border-bottom: 0;' +
+    '}' +
+    '.mob-map .mob-map-part .mob-map-type {' +
+    'margin-bottom: 15px;' +
+    'font-size: 18px;' +
+    'font-weight: 700;' +
+    'color: #212121;' +
+    '}' +
+    '.mob-map .mob-map-part ul {' +
+    'width: 102%;' +
+    '}' +
+    '.mob-map .mob-map-part ul li {' +
+    'float: left;' +
+    'margin-right: 2%;' +
+    'margin-bottom: 10px;' +
+    'width: 23%;' +
+    'height: 32px;' +
+    'line-height: 32px;' +
+    'font-size: 13px;' +
+    '-webkit-border-radius: 4px;' +
+    '-moz-border-radius: 4px;' +
+    'border-radius: 4px;' +
+    'text-align: center;' +
+    'color: #212121;' +
+    'background: #eeeff1;' +
+    '}' +
+    '.mob-map .mob-map-part ul li a {' +
+    'color: #212121;' +
+    '}' +
+    '.mob-map .mob-map-part ul li.rs {' +
+    'width: 48%;' +
+    '}' +
+    '.mob-map .mob-map-part.mob-map-pro {' +
+    'padding-top: 0.711111rem;' +
+    '}' +
+    '.mob-map .mob-map-part.mob-map-pro ul li {' +
+    'font-size: 18px;' +
+    'font-weight: 600;' +
+    '}' +
+    '</style>'
+var topMbDom =
+    '<div class="mob-top domMob domMobile">' +
+    '<div class="mob-top-upper clearfix">' +
+    '<div class="logo"><img src="http://www.news.cn/2022newhomepro/mobile/images/logo.png" alt=""><i>手机版</i></div>' +
+    '<div class="wza"><a href="javascript:void(0)" onclick="aria.start()" style="color:#fff;">网站无障碍</a></div>' +
+    '<div class="pc"><a href="http://www.news.cn/?f=pad"><img src="http://www.news.cn/2022newhomepro/mobile/images/mac.png" alt=""><i>PC版本</i></a></div><a class="search-box" href="http://so.news.cn/mobile/index"></a>' +
+    '</div>' +
+    '<div class="mob-top-nav">' +
+    '<div class="part">' +
+    '<div class="top-nav-pro">' +
+    '<div class="top-nav-pro-cont"><a class="active" href="http://m.news.cn">首页</a><a href="http://www.news.cn/politics/xxjxs/index.htm">学习进行时</a><a href="http://www.news.cn/politics/leaders/index.htm">高层</a><a href="http://www.news.cn/politicspro/mobile/index.html">时政</a><a href="http://www.news.cn/politics/xhrs/index.html">人事</a><a href="http://www.news.cn/worldpro/mobile/index.html">国际</a><a href="http://www.news.cn/fortunepro/mobile/index.html">财经</a><a href="http://www.news.cn/comments/index.html">网评</a><a href="http://www.news.cn/gangao/index.html">港澳</a><a href="http://www.news.cn/tw/index.html">台湾</a><a href="http://www.news.cn/sikepro/">思客智库</a><a href="http://www.news.cn/world/globalink/index.html">全球连线</a><a href="http://education.news.cn/index.htm">教育</a><a href="http://www.news.cn/tech/">科技</a><a href="http://www.news.cn/science/index.htm">科普</a><a href="http://sports.news.cn/index.htm">体育</a><a href="http://www.news.cn/culture/">文化</a><a href="http://www.news.cn/health/">健康</a><a href="http://www.news.cn/milpro/">军事</a><a href="http://www.news.cn/talking/index.html">访谈</a><a href="http://www.news.cn/video/">视频</a><a href="http://www.news.cn/photo/index.htm">图片</a><a href="http://www.news.cn/politics/zywj/index.htm">中央文件</a></div>' +
+    '</div>' +
+    '<div class="top-nav-menu">' +
+    '<div class="menu-box" id="menu">' +
+    '<div class="bar"></div>' +
+    '<div class="bar"></div>' +
+    '<div class="bar"></div>' +
+    '</div>' +
+    '</div>' +
+    '</div>' +
+    '</div>' +
+    '</div>' +
+    '<div class="mob-map domMob domMobile" id="map">' +
+    '<div class="mob-map-banner">' +
+    '<div class="logo"><img src="http://www.news.cn/2022newhomepro/mobile/images/logo.png" alt=""><i>手机版</i></div>' +
+    '</div>' +
+    '<div class="mob-map-cont">' +
+    '<div class="mob-map-title">网站地图</div>' +
+    '<div class="mob-map-close">' +
+    '<div class="bar"></div>' +
+    '<div class="bar"></div>' +
+    '<div class="bar"></div>' +
+    '</div>' +
+    '<div class="mob-map-part">' +
+    '<ul class="clearfix">' +
+    '<li><a href="http://www.news.cn/politics/xxjxs/index.htm">学习进行时</a></li>' +
+    '<li><a href="http://www.news.cn/politics/leaders/index.htm">高层</a></li>' +
+    '<li><a href="http://www.news.cn/politicspro/mobile/index.html">时政</a></li>' +
+    '<li><a href="http://www.news.cn/politics/xhrs/index.html">人事</a></li>' +
+    '<li><a href="http://www.news.cn/worldpro/mobile/index.html">国际</a></li>' +
+    '<li><a href="http://www.news.cn/fortunepro/mobile/index.html">财经</a></li>' +
+    '<li><a href="http://www.news.cn/comments/index.html">网评</a></li>' +
+    '<li><a href="http://www.news.cn/gangao/index.html">港澳</a></li>' +
+    '<li><a href="http://www.news.cn/tw/index.html">台湾</a></li>' +
+    '<li><a href="http://www.news.cn/sikepro/">思客智库</a></li>' +
+    '<li><a href="http://www.news.cn/world/globalink/index.html">全球连线</a></li>' +
+    '<li><a href="http://education.news.cn/index.htm">教育</a></li>' +
+    '<li><a href="http://www.news.cn/tech/">科技</a></li>' +
+    '<li><a href="http://www.news.cn/science/index.htm">科普</a></li>' +
+    '<li><a href="http://sports.news.cn/index.htm">体育</a></li>' +
+    '<li><a href="http://www.news.cn/culture/">文化</a></li>' +
+    '<li><a href="http://www.news.cn/health/">健康</a></li>' +
+    '<li><a href="http://www.news.cn/milpro/">军事</a></li>' +
+    '<li><a href="http://www.news.cn/talking/index.html">访谈</a></li>' +
+    '<li><a href="http://www.news.cn/video/">视频</a></li>' +
+    '<li><a href="http://www.news.cn/photo/index.htm">图片</a></li>' +
+    '<li><a href="http://www.news.cn/politics/zywj/index.htm">中央文件</a></li>' +
+    '<li><a href="http://www.news.cn/money/index.html">金融</a></li>' +
+    '<li><a href="http://www.news.cn/auto/index.html">汽车</a></li>' +
+    '<li><a href="http://www.news.cn/food/index.html">食品</a></li>' +
+    '<li><a href="http://www.xinhuanet.com/house/index.html">人居</a></li>' +
+    '<li><a href="http://www.news.cn/info/index.html">信息化</a></li>' +
+    '<li><a href="http://xczx.news.cn/">乡村振兴</a></li>' +
+    '<li><a href="http://www.news.cn/info/xbsyzg/index.html">溯源中国</a></li>' +
+    '<li><a href="http://city.news.cn/">城市</a></li>' +
+    '<li><a href="http://www.news.cn/travel/index.html">旅游</a></li>' +
+    '<li><a href="http://www.news.cn/energy/index.html">能源</a></li>' +
+    '<li><a href="http://www.news.cn/expo/index.html">会展</a></li>' +
+    '<li><a href="http://www.news.cn/caipiao/index.html">彩票</a></li>' +
+    '<li><a href="http://www.news.cn/ent/index.html">娱乐</a></li>' +
+    '<li><a href="http://www.news.cn/fashion/index.html">时尚</a></li>' +
+    '<li><a href="http://www.news.cn/book/index.html">悦读</a></li>' +
+    '<li><a href="http://www.news.cn/gongyi/index.html">公益</a></li>' +
+    '<li><a href="http://www.news.cn/shuhua/index.html">书画</a></li>' +
+    '<li><a href="http://www.news.cn/silkroad/index.html">一带一路</a></li>' +
+    '<li><a href="http://www.news.cn/asia/chinese/index.html">亚太网</a></li>' +
+    '<li><a href="http://www.news.cn/finance/">上市公司</a></li>' +
+    '<li><a href="http://www.news.cn/ci/">文化产业</a></li>' +
+    '</ul>' +
+    '</div>' +
+    '<div class="mob-map-part">' +
+    '<div class="mob-map-type">地方频道</div>' +
+    '<ul class="clearfix">' +
+            '<li><a href="http://m.news.cn/bj.htm">北京</a></li>'+
+			'<li><a href="http://m.news.cn/tj.htm">天津</a></li>'+
+			'<li><a href="http://m.news.cn/he.htm">河北</a></li>'+
+			'<li><a href="http://m.news.cn/sx.htm">山西</a></li>'+
+			'<li><a href="http://m.news.cn/ln.htm">辽宁</a></li>'+
+			'<li><a href="http://m.news.cn/jl.htm">吉林</a></li>'+
+			'<li><a href="http://m.news.cn/sh.htm">上海</a></li>'+
+			'<li><a href="http://m.news.cn/js.htm">江苏</a></li>'+
+			'<li><a href="http://m.news.cn/zj.htm">浙江</a></li>'+
+			'<li><a href="http://m.news.cn/ah.htm">安徽</a></li>'+
+			'<li><a href="http://m.news.cn/fj.htm">福建</a></li>'+
+			'<li><a href="http://m.news.cn/jx.htm">江西</a></li>'+
+			'<li><a href="http://m.news.cn/sd.htm">山东</a></li>'+
+			'<li><a href="http://m.news.cn/ha.htm">河南</a></li>'+
+			'<li><a href="http://m.news.cn/hb.htm">湖北</a></li>'+
+			'<li><a href="http://m.news.cn/hn.htm">湖南</a></li>'+
+			'<li><a href="http://m.news.cn/gd.htm">广东</a></li>'+
+			'<li><a href="http://m.news.cn/gx.htm">广西</a></li>'+
+			'<li><a href="http://m.news.cn/hq.htm">海南</a></li>'+
+			'<li><a href="http://m.news.cn/cq.htm">重庆</a></li>'+
+			'<li><a href="http://m.news.cn/sc.htm">四川</a></li>'+
+			'<li><a href="http://m.news.cn/gz.htm">贵州</a></li>'+
+			'<li><a href="http://m.news.cn/yn.htm">云南</a></li>'+
+			'<li><a href="http://m.news.cn/xz.htm">西藏</a></li>'+
+			'<li><a href="http://m.news.cn/sn.htm">陕西</a></li>'+
+			'<li><a href="http://m.news.cn/gs.htm">甘肃</a></li>'+
+			'<li><a href="http://m.news.cn/qh.htm">青海</a></li>'+
+			'<li><a href="http://m.news.cn/nx.htm">宁夏</a></li>'+
+			'<li><a href="http://m.news.cn/xj.htm">新疆</a></li>'+
+			'<li><a href="http://m.news.cn/nmg.htm">内蒙古</a></li>'+
+			'<li><a href="http://m.news.cn/hlj.htm">黑龙江</a></li>'+
+    '</ul>' +
+    '</div>' +
+    '<div class="mob-map-part">' +
+    '<div class="mob-map-type">多语种频道</div>' +
+    '<ul class="clearfix">' +
+    '<li><a href="https://english.news.cn/home.htm" target="_blank">English</a></li>' +
+    '<li><a href="https://spanish.news.cn/index.htm" target="_blank">Español</a></li>' +
+    '<li><a href="https://french.news.cn/index.htm" target="_blank">Français</a></li>' +
+    '<li><a href="https://arabic.news.cn/index.htm" target="_blank">عربى</a></li>' +
+    '<li class="rs"><a href="https://russian.news.cn/index.htm" target="_blank">Русский язык</a></li>' +
+    '<li><a href="https://jp.news.cn/index.htm" target="_blank">日本語</a></li>' +
+    '<li><a href="https://kr.news.cn/index.htm" target="_blank">한국어</a></li>' +
+    '<li><a href="https://german.news.cn/index.htm" target="_blank">Deutsch</a></li>' +
+    '<li><a href="https://portuguese.news.cn/index.htm" target="_blank">Português</a></li>' +
+    '</ul>' +
+    '</div>' +
+    '</div>' +
+    '</div>'
+$('body').prepend(topMbStyles + topMbDom)
+var curTopH = $('.mob-top').height()
+/* 导航展开和收起 */
+function setMenuStatus() {
+    $('#menu').on('click', function () {
+        // $('#map').addClass('active')
+        $('#map').animate(
+            {
+                height: '100%',
+            },
+            800,
+            function () {
+                $('body').addClass('stopScroll')
+            }
+        )
+    })
+    $('#map .mob-map-close').on('click', function () {
+        // $('#map').removeClass('active')
+        $('#map').animate(
+            {
+                height: 0,
+            },
+            800
+        )
+        $('body').removeClass('stopScroll')
+    })
+}
+function scroll() {
+    var url = window.location.href
+
+    
+    var selectorTop = $('.mob-top-nav').offset().top
+    $(window).scroll(function () {
+        var _this = $(this)
+        // console.log(_this.scrollTop(), selectorTop);
+        if (_this.scrollTop() >= selectorTop) {
+            // 顶部消失
+            $('.mob-top-nav').addClass('fixed')
+            curTopH = $('.mob-top-nav').height()
+        } else {
+            // 顶部出现
+            $('.mob-top-nav').removeClass('fixed')
+            curTopH = $('.mob-top').height()
+        }
+    })
+}
+
+$(function () {
+    setMenuStatus()
+    scroll()
+})
\ No newline at end of file
diff --git "a/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/translateSandbox.html" "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/translateSandbox.html"
new file mode 100644
index 00000000..d48453c5
--- /dev/null
+++ "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/translateSandbox.html"	
@@ -0,0 +1,48 @@
+<!DOCTYPE html>
+<!-- saved from url=(0090)chrome-extension://ekhagklcjbdpajgpjgmbionohlpdbjgc/translateSandbox/translateSandbox.html -->
+<html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
+	
+	<title>Zotero - Translate Sandbox</title>
+</head>
+<body>
+
+<script src="chrome-extension://ekhagklcjbdpajgpjgmbionohlpdbjgc/zotero_config.js"></script>
+<script src="chrome-extension://ekhagklcjbdpajgpjgmbionohlpdbjgc/zotero.js"></script>
+<script src="chrome-extension://ekhagklcjbdpajgpjgmbionohlpdbjgc/api.js"></script>
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diff --git "a/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/webdig.js" "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/webdig.js"
new file mode 100644
index 00000000..8bac202d
--- /dev/null
+++ "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/webdig.js"	
@@ -0,0 +1 @@
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diff --git "a/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/xh-column.js" "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/xh-column.js"
new file mode 100644
index 00000000..f35117df
--- /dev/null
+++ "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/xh-column.js"	
@@ -0,0 +1,718 @@
+// var domainNameArr = [{
+//         "name": "http://cx.",
+//         "sKey": "cx"
+//     },
+//     {
+//         "name": "http://education.",
+//         "sKey": "edu"
+//     },
+//     {
+//         "name": "http://uav.",
+//         "sKey": "uav"
+//     },
+//     {
+//         "name": "http://m.news.cn",
+//         "sKey": "sjb"
+//     },
+//     {
+//         "name": "http://us.",
+//         "sKey": "us"
+//     },
+//     {
+//         "name": "http://www.news.cn/20",
+//         "sKey": "newscenter"
+//     },
+//     {
+//         "name": "http://travel.",
+//         "sKey": "travel"
+//     }
+// ];
+var arrChannel = [{
+        sKey: "politicspro",
+        sValue: "时政",
+        sUrl: "http://www.news.cn/politicspro/",
+        sIdx: 1
+    }, {
+        sKey: "worldpro",
+        sValue: "国际",
+        sUrl: "http://www.news.cn/worldpro/",
+        sIdx: 2
+    }, {
+        sKey: "fortunepro",
+        sValue: "财经",
+        sUrl: "http://www.news.cn/fortunepro/",
+        sIdx: 3
+    }, {
+        sKey: "videopro",
+        sValue: "视频",
+        sUrl: "http://www.news.cn/videopro/",
+        sIdx: 4
+    }, {
+        sKey: "multimediapro",
+        sValue: "富媒体",
+        sUrl: "http://www.news.cn/multimediapro/",
+        sIdx: 5
+    }, {
+        sKey: "techpro",
+        sValue: "科技",
+        sUrl: "http://www.news.cn/techpro/",
+        sIdx: 6
+    }, {
+        sKey: "culturepro",
+        sValue: "文化",
+        sUrl: "http://www.news.cn/culturepro/",
+        sIdx: 7
+    }, {
+        sKey: "healthpro",
+        sValue: "健康",
+        sUrl: "http://www.news.cn/healthpro/",
+        sIdx: 8
+    }, {
+        sKey: "milpro",
+        sValue: "军事",
+        sUrl: "http://www.news.cn/milpro/",
+        sIdx: 9
+    }, {
+        sKey: "sikepro",
+        sValue: "思客智库",
+        sUrl: "http://www.news.cn/sikepro/",
+        sIdx: 10
+    }, {
+        sKey: "governmentpro",
+        sValue: "政务",
+        sUrl: "http://www.news.cn/governmentpro/",
+        sIdx: 11
+    }, {
+        sKey: "businesspro",
+        sValue: "商务",
+        sUrl: "http://www.news.cn/businesspro/",
+        sIdx: 12
+    }, {
+        sKey: ".cn/20",
+        sValue: "新闻",
+        sUrl: "http://www.news.cn/"
+    }, {
+        sKey: ".com/20",
+        sValue: "新闻",
+        sUrl: "http://www.news.cn/"
+    }, {
+        sKey: "politics",
+        sValue: "时政",
+        sUrl: "http://www.news.cn/politics/"
+    }, {
+        sKey: "politics/xhll",
+        sValue: "理论",
+        sUrl: "http://www.news.cn/politics/xhll/"
+    }, {
+        sKey: "comments",
+        sValue: "网评",
+        sUrl: "http://www.news.cn/comments/"
+    }, {
+        sKey: "legal",
+        sValue: "法治",
+        sUrl: "http://www.news.cn/legal/"
+    }, {
+        sKey: "politics/rs",
+        sValue: "人事",
+        sUrl: "http://www.news.cn/politics/xhrs/"
+    }, {
+        sKey: "legal/ffu",
+        sValue: "廉政",
+        sUrl: "http://www.news.cn/legal/ffu.htm?page=xhlz"
+    }, {
+        sKey: "local",
+        sValue: "地方",
+        sUrl: "http://www.news.cn/local/"
+    }, {
+        sKey: "gangao",
+        sValue: "港澳",
+        sUrl: "http://www.news.cn/gangao/"
+    }, {
+        sKey: "tw",
+        sValue: "台湾",
+        sUrl: "http://www.news.cn/tw/"
+    }, {
+        sKey: "edu",
+        sValue: "教育",
+        sUrl: "http://education.news.cn/"
+    }, {
+        sKey: "sports",
+        sValue: "体育",
+        sUrl: "http://sports.news.cn/"
+    }, {
+        sKey: "live",
+        sValue: "直播",
+        sUrl: "http://www.news.cn/live/"
+    }, {
+        sKey: "talking",
+        sValue: "新华访谈",
+        sUrl: "http://www.news.cn/talking/"
+    }, {
+        sKey: "datanews",
+        sValue: "数据新闻",
+        sUrl: "http://www.news.cn/datanews/index.htm"
+    }, {
+        sKey: "photo",
+        sValue: "图片",
+        sUrl: "http://www.news.cn/photo/index.htm"
+    }, {
+        sKey: "video/xinhuaradio",
+        sValue: "广播",
+        sUrl: "http://www.news.cn/video/xinhuaradio/"
+    }, {
+        sKey: "uav",
+        sValue: "无人机",
+        sUrl: "http://uav.news.cn/"
+    }, {
+        sKey: "silkroad",
+        sValue: "一带一路",
+        sUrl: "http://www.news.cn/silkroad/"
+    }, {
+        sKey: "info",
+        sValue: "信息化",
+        sUrl: "http://www.news.cn/info/"
+    }, {
+        sKey: "politics/zywj",
+        sValue: "中央文件",
+        sUrl: "http://www.news.cn/politics/zywj/index.htm"
+    }, {
+        sKey: "money",
+        sValue: "金融",
+        sUrl: "http://www.news.cn/money/"
+    }, {
+        sKey: "finance",
+        sValue: "上市公司",
+        sUrl: "http://www.news.cn/finance/"
+    }, {
+        sKey: "auto",
+        sValue: "汽车",
+        sUrl: "http://www.news.cn/auto/"
+    }, {
+        sKey: "food",
+        sValue: "食品",
+        sUrl: "http://www.news.cn/food/"
+    }, {
+        sKey: "house",
+        sValue: "人居生活",
+        sUrl: "http://www.news.cn/house/"
+    }, {
+        sKey: "travel",
+        sValue: "旅游",
+        sUrl: "http://www.news.cn/travel/"
+    }, {
+        sKey: "energy",
+        sValue: "能源",
+        sUrl: "http://www.news.cn/energy/"
+    }, {
+        sKey: "enterprise",
+        sValue: "公司",
+        sUrl: "http://www.news.cn/enterprise/"
+    }, {
+        sKey: "expo",
+        sValue: "会展",
+        sUrl: "http://www.news.cn/expo/"
+    }, {
+        sKey: "caipiao",
+        sValue: "彩票",
+        sUrl: "http://www.news.cn/caipiao/"
+    }, {
+        sKey: "ent/",
+        sValue: "娱乐",
+        sUrl: "http://www.news.cn/ent/"
+    }, {
+        sKey: "fashion",
+        sValue: "时尚",
+        sUrl: "http://www.news.cn/fashion/"
+    }, {
+        sKey: "book",
+        sValue: "悦读",
+        sUrl: "http://www.news.cn/book/"
+    }, {
+        sKey: "gongyi",
+        sValue: "公益",
+        sUrl: "http://www.news.cn/gongyi/"
+    }, {
+        sKey: "shuhua",
+        sValue: "书画",
+        sUrl: "http://www.news.cn/shuhua/"
+    }, {
+        sKey: "foto",
+        sValue: "摄影",
+        sUrl: "http://www.news.cn/foto/"
+    }, {
+        sKey: "asia/chinese",
+        sValue: "亚太网",
+        sUrl: "http://www.news.cn/asia/chinese/"
+    }, {
+        sKey: "sg",
+        sValue: "新加坡频道",
+        sUrl: "http://sg.news.cn/"
+    }, {
+        sKey: "info/xbsyzg",
+        sValue: "溯源中国",
+        sUrl: "http://www.news.cn/info/xbsyzg/"
+    }, {
+        sKey: "finance/tjjd",
+        sValue: "投教基地",
+        sUrl: "http://www.news.cn/finance/tjjd/"
+    },
+    {
+        sKey: "newscenter",
+        sValue: "新闻中心",
+        sUrl: "http://www.news.cn/newscenter/index.htm"
+    },
+    {
+        sKey: "hr",
+        sValue: "人才",
+        sUrl: "http://www.news.cn/hr/index.htm"
+    },
+    {
+        sKey: "ziliao",
+        sValue: "资料",
+        sUrl: "http://www.news.cn/ziliao/index.htm"
+    },
+    {
+        sKey: "legal",
+        sValue: "法治",
+        sUrl: "http://www.news.cn/legal/"
+    },
+    {
+        sKey: "local",
+        sValue: "地方",
+        sUrl: "http://www.news.cn/local/"
+    },
+    {
+        sKey: "book",
+        sValue: "悦读",
+        sUrl: "http://www.news.cn/book/"
+    },
+    {
+        sKey: "world",
+        sValue: "国际",
+        sUrl: "http://www.news.cn/world/"
+    },
+    {
+        sKey: "overseas",
+        sValue: "海外华人",
+        sUrl: "http://www.news.cn/overseas/"
+    },
+    {
+        sKey: "gangao",
+        sValue: "港澳",
+        sUrl: "http://www.news.cn/gangao/"
+    },
+    {
+        sKey: "tw",
+        sValue: "台湾",
+        sUrl: "http://www.news.cn/tw/"
+    },
+    {
+        sKey: "mil",
+        sValue: "军事",
+        sUrl: "http://news.cn/milpro/"
+    },
+    {
+        sKey: "culture",
+        sValue: "文化",
+        sUrl: "http://www.news.cn/culture/"
+    },
+    {
+        sKey: "fortune",
+        sValue: "财经",
+        sUrl: "http://www.news.cn/fortune/"
+    },
+    {
+        sKey: "money",
+        sValue: "金融",
+        sUrl: "http://www.news.cn/money/"
+    },
+    {
+        sKey: "caipiao",
+        sValue: "彩票",
+        sUrl: "http://www.news.cn/caipiao/"
+    },
+    {
+        sKey: "jiaju",
+        sValue: "家居",
+        sUrl: "http://www.news.cn/jiaju/"
+    },
+    {
+        sKey: "gongyi",
+        sValue: "公益",
+        sUrl: "http://www.news.cn/gongyi/"
+    },
+    {
+        sKey: "futures",
+        sValue: "期货",
+        sUrl: "http://www.news.cn/futures/index.htm"
+    },
+    {
+        sKey: "finance",
+        sValue: "上市公司",
+        sUrl: "http://www.news.cn/finance/"
+    },
+    {
+        sKey: "auto",
+        sValue: "汽车",
+        sUrl: "http://www.news.cn/auto/"
+    },
+    {
+        sKey: "edu",
+        sValue: "教育",
+        sUrl: "http://education.news.cn/"
+    },
+    {
+        sKey: "abroad",
+        sValue: "出国",
+        sUrl: "http://www.news.cn/abroad/index.htm"
+    },
+    {
+        sKey: "food",
+        sValue: "食品",
+        sUrl: "http://www.news.cn/food/"
+    },
+    {
+        sKey: "tea",
+        sValue: "茶叶",
+        sUrl: "http://www.news.cn/tea/index.htm"
+    },
+    {
+        sKey: "air",
+        sValue: "航空",
+        sUrl: "http://www.news.cn/air/index.htm"
+    },
+    {
+        sKey: "tech",
+        sValue: "科技",
+        sUrl: "http://www.news.cn/tech/"
+    },
+    {
+        sKey: "jiadian",
+        sValue: "家电",
+        sUrl: "http://www.news.cn/jiadian/index.htm"
+    },
+    {
+        sKey: "health",
+        sValue: "健康",
+        sUrl: "http://www.news.cn/health/"
+    },
+    {
+        sKey: "environment",
+        sValue: "环保",
+        sUrl: "http://www.news.cn/environment/index.htm"
+    },
+    {
+        sKey: "coal",
+        sValue: "煤炭",
+        sUrl: "http://www.news.cn/coal/index.htm"
+    },
+    {
+        sKey: "power",
+        sValue: "电力",
+        sUrl: "http://www.news.cn/power/"
+    },
+    {
+        sKey: "energy",
+        sValue: "能源",
+        sUrl: "http://www.news.cn/energy/"
+    },
+    {
+        sKey: "shuhua",
+        sValue: "书画",
+        sUrl: "http://www.news.cn/shuhua/"
+    },
+    {
+        sKey: "collection",
+        sValue: "收藏",
+        sUrl: "http://www.news.cn/collection/index.htm"
+    },
+    {
+        sKey: "travel",
+        sValue: "旅游",
+        sUrl: "http://www.news.cn/travel/"
+    },
+    {
+        sKey: "fashion",
+        sValue: "时尚",
+        sUrl: "http://www.news.cn/fashion/"
+    },
+    {
+        sKey: "city",
+        sValue: "城市",
+        sUrl: "http://city.news.cn/"
+    },
+    {
+        sKey: "sports",
+        sValue: "体育",
+        sUrl: "http://sports.news.cn/"
+    },
+    {
+        sKey: "insurance",
+        sValue: "保险",
+        sUrl: "http://www.news.cn/insurance/"
+    },
+    {
+        sKey: "expo",
+        sValue: "会展",
+        sUrl: "http://www.news.cn/expo/"
+    },
+    {
+        sKey: "xiangtu",
+        sValue: "新闻中心",
+        sUrl: "http://www.news.cn/xiangtu/"
+    },
+    {
+        sKey: "info",
+        sValue: "信息化",
+        sUrl: "http://www.news.cn/info/"
+    },
+    {
+        sKey: "zhcs",
+        sValue: "智慧城市",
+        sUrl: "http://www.news.cn/zhcs/index.htm"
+    },
+    {
+        sKey: "yuqing",
+        sValue: "舆情",
+        sUrl: "http://www.news.cn/yuqing/"
+    },
+    {
+        sKey: "newmedia",
+        sValue: "传媒",
+        sUrl: "http://www.news.cn/newmedia/"
+    },
+    {
+        sKey: "video",
+        sValue: "视频",
+        sUrl: "http://www.news.cn/video/"
+    },
+    {
+        sKey: "foto",
+        sValue: "摄影",
+        sUrl: "http://www.news.cn/foto/"
+    },
+    {
+        sKey: "house",
+        sValue: "人居生活",
+        sUrl: "http://www.news.cn/house/"
+    },
+    {
+        sKey: "forum",
+        sValue: "论坛",
+        sUrl: "http://forum.home.news.cn/list/50-0-0-1.html"
+    },
+    {
+        sKey: "silkroad",
+        sValue: "一带一路",
+        sUrl: "http://www.news.cn/silkroad/"
+    },
+    {
+        sKey: "yzyd/politics",
+        sValue: "时政",
+        sUrl: "http://www.news.cn/politics/"
+    },
+    {
+        sKey: "yzyd/comments",
+        sValue: "网评",
+        sUrl: "http://www.news.cn/comments/"
+    },
+    {
+        sKey: "yzyd/newscenter",
+        sValue: "新闻中心",
+        sUrl: "http://www.news.cn/newscenter/index.htm"
+    },
+    {
+        sKey: "yzyd/legal",
+        sValue: "法治",
+        sUrl: "http://www.news.cn/legal/"
+    },
+    {
+        sKey: "yzyd/local",
+        sValue: "地方",
+        sUrl: "http://www.news.cn/local/"
+    },
+    {
+        sKey: "yzyd/book",
+        sValue: "悦读",
+        sUrl: "http://www.news.cn/book/"
+    },
+    {
+        sKey: "yzyd/world",
+        sValue: "国际",
+        sUrl: "http://www.news.cn/world/"
+    },
+    {
+        sKey: "yzyd/overseas",
+        sValue: "海外华人",
+        sUrl: "http://www.news.cn/overseas/"
+    },
+    {
+        sKey: "yzyd/gangao",
+        sValue: "港澳",
+        sUrl: "http://www.news.cn/gangao/"
+    },
+    {
+        sKey: "yzyd/tw",
+        sValue: "台湾",
+        sUrl: "http://www.news.cn/tw/"
+    },
+    {
+        sKey: "yzyd/mil",
+        sValue: "军事",
+        sUrl: "http://news.cn/milpro/"
+    },
+    {
+        sKey: "yzyd/fortune",
+        sValue: "财经",
+        sUrl: "http://www.news.cn/fortune/"
+    },
+    {
+        sKey: "yzyd/jiaju",
+        sValue: "家居",
+        sUrl: "http://www.news.cn/jiaju/"
+    },
+    {
+        sKey: "yzyd/finance",
+        sValue: "金融",
+        sUrl: "http://www.news.cn/money/"
+    },
+    {
+        sKey: "yzyd/auto",
+        sValue: "汽车",
+        sUrl: "http://www.news.cn/auto/"
+    },
+    {
+        sKey: "yzyd/edu",
+        sValue: "教育",
+        sUrl: "http://education.news.cn"
+    },
+    {
+        sKey: "yzyd/food",
+        sValue: "食品",
+        sUrl: "http://www.news.cn/food/"
+    },
+    {
+        sKey: "yzyd/tech",
+        sValue: "科技",
+        sUrl: "http://www.news.cn/tech/"
+    },
+    {
+        sKey: "yzyd/jiadian",
+        sValue: "家电",
+        sUrl: "http://www.news.cn/jiadian/index.htm"
+    },
+    {
+        sKey: "yzyd/health",
+        sValue: "健康",
+        sUrl: "http://www.news.cn/health/"
+    },
+    {
+        sKey: "yzyd/energy",
+        sValue: "能源",
+        sUrl: "http://www.news.cn/energy/"
+    },
+    {
+        sKey: "yzyd/travel",
+        sValue: "旅游",
+        sUrl: "http://www.news.cn/travel/"
+    },
+    {
+        sKey: "yzyd/fashion",
+        sValue: "时尚",
+        sUrl: "http://www.news.cn/fashion/"
+    },
+    {
+        sKey: "yzyd/ent",
+        sValue: "娱乐",
+        sUrl: "http://www.news.cn/ent/"
+    },
+    {
+        sKey: "yzyd/foto",
+        sValue: "摄影",
+        sUrl: "http://www.news.cn/foto/"
+    },
+    {
+        sKey: "yzyd/house",
+        sValue: "人居生活",
+        sUrl: "http://www.news.cn/house/"
+    },
+    {
+        sKey: "japan",
+        sValue: "日本频道",
+        sUrl: "http://japan.news.cn/"
+    },
+    {
+        sKey: "koreas",
+        sValue: "韩国频道",
+        sUrl: "http://korea.news.cn/"
+    },
+    {
+        sKey: "drone",
+        sValue: "无人机",
+        sUrl: "http://www.news.cn/drone/"
+    },
+    {
+        sKey: "vr/",
+        sValue: "VR/AR",
+        sUrl: "http://www.news.cn/vr/"
+    },
+    {
+        sKey: "photo",
+        sValue: "图片",
+        sUrl: "http://www.news.cn/photo/"
+    },
+    {
+        sKey: "cx.news.cn",
+        sValue: "双创",
+        sUrl: "http://cx.news.cn/"
+    },
+    {
+        sKey: "zgly",
+        sValue: "中国旅游新闻",
+        sUrl: "http://zgly.news.cn/"
+    },
+    {
+        sKey: "talking",
+        sValue: "新华访谈",
+        sUrl: "http://www.news.cn/talking/"
+    },
+    {
+        sKey: "us.news.cn",
+        sValue: "美国频道",
+        sUrl: "http://us.news.cn/index.htm"
+    },
+    {
+        sKey: "science",
+        sValue: "科普",
+        sUrl: "http://www.news.cn/science/"
+    },
+    {
+        sKey: "itown",
+        sValue: "互联网小镇",
+        sUrl: "http://www.news.cn/itown/index.htm"
+    },
+    {
+        sKey: "yingjijiuyuan",
+        sValue: "应急救援",
+        sUrl: "http://www.news.cn/yingjijiuyuan/index.htm"
+    },
+    {
+        sKey: "enterprise",
+        sValue: "公司",
+        sUrl: "http://www.news.cn/enterprise/"
+    },
+    {
+        sKey: "ci/",
+        sValue: "文化产业",
+        sUrl: "http://www.news.cn/ci/"
+    },
+    {
+        sKey: "app/",
+        sValue: "政企服务",
+        sUrl: "http://www.news.cn/"
+    }, {
+        sKey: "government/",
+        sValue: "政务",
+        sUrl: "http://www.news.cn/government/"
+    },
+];
\ No newline at end of file
diff --git "a/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/xhCommonFun.js" "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/xhCommonFun.js"
new file mode 100644
index 00000000..ad9f1f94
--- /dev/null
+++ "b/content/\351\200\211\344\277\256-Preprocessing Unstructured Data for LLM Applications/example_files/2023\345\215\201\345\244\247\346\265\201\350\241\214\350\257\215_files/xhCommonFun.js"	
@@ -0,0 +1,132 @@
+var hasSwiper = false;
+var cbDetailConfig = {
+    detailAtlasDisplayPc: false, //设置点击图片显示图集
+    detailAtlasDisplayMob: true,
+    detailSetFontSizePc: true, //设置控制标题字号
+    detailSetFontSizeMob: false,
+    detailSetFontColorPc: true, //设置控制标题颜色
+    detailSetFontColorMob: true,
+}
+
+
+$("script").each(function () {
+    if ($(this).attr("src") && $(this).attr("src").indexOf("swiper") > -1) {
+        hasSwiper = true
+    }
+})
+if (!hasSwiper) {
+    var xhHead = document.getElementsByTagName('head')[0];
+    var xhScript = document.createElement('script');
+    xhScript.type = 'text/javascript';
+    xhScript.src = "https://imgs.news.cn/global/lib/swiper/swiper3.4.2/swiper.min.js";
+    var xhCss = document.createElement('link');
+    xhCss.rel = 'stylesheet';
+    xhCss.href = "https://imgs.news.cn/global/lib/swiper/swiper3.4.2/swiper.min.css";
+    xhHead.appendChild(xhScript);
+    xhHead.appendChild(xhCss);
+}
+
+function detailAtlasDisplay() {
+
+    var atlasStyle = "<style>.mobPicSwiper {width: 100%;height: 100%;position: fixed;top: 0;left: 0;right: 0;bottom: 0;background-color: #000;z-index: 999999;display: none;}.mobPicSwiper .swiper-slide {display: flex;justify-content: center;align-items: center;text-align: center;}.mobPicSwiper .swiper-slide img {max-width: 100%; height: auto;}.mobPicSwiper .swiper-pagination-fraction {color: #fff;}</style>"
+    $('body').append(atlasStyle);
+
+    $("#detailContent,#detail").on("click", "img", function () {
+        console.log(22)
+        var slide_lists = ""
+        $("#detailContent img,#detail img").each(function () {
+            var imgUrl = $(this).attr("src")
+            if (imgUrl.indexOf("svg+xml") == -1 && imgUrl.indexOf("space.gif") == -1) {
+                slide_lists += '<div class="swiper-slide"><img src="' + imgUrl + '" alt=""></div>';
+            }
+        })
+        var swiperHtml =
+            '<div class="mobPicSwiper swiper-container"><div class="swiper-wrapper">' +
+            slide_lists + '</div><div class="swiper-pagination"></div></div>'
+        $('body').append(swiperHtml);
+
+        var actUrl = $(this).attr("src")
+        $(".mobPicSwiper .swiper-slide").each(function () {
+            var swiperImgsrc = $(this).find("img").attr("src");
+            // console.log(swiperImgsrc.indexOf("svg+xml") == -1)
+            if (swiperImgsrc.indexOf(actUrl) > -1) {
+                var actIndex = $(this).index()
+                mobPicSwiper(actIndex)
+            }
+        })
+        $(".mobPicSwiper").on("click", function () {
+            // var slide_lists = ""
+            $(".mobPicSwiper").remove()
+        })
+    })
+
+    function mobPicSwiper(actNb) {
+        $(".mobPicSwiper").show()
+        var _mobPicSwiper = new Swiper('.mobPicSwiper', {
+            // autoHeight: true,
+            initialSlide: actNb,
+            pagination: '.mobPicSwiper .swiper-pagination',
+            paginationType: 'fraction'
+        });
+    }
+}
+
+function detailSetFontSize() {
+    if (cbDetailConfig.detailSetFont == false) {
+        return false;
+    }
+    var titleSize = $.trim($("#fontsize").html());
+    //设置字号
+    if (titleSize != '') {
+        $('.head-line .title').css({
+            "font-size": titleSize + "px"
+        });
+    }
+}
+
+function detailSetFontColor() {
+    var titleColor = $.trim($("#fontcolor").html());
+    //设置颜色
+    if (titleColor != '') {
+        $('.head-line .title').css({
+            'color': titleColor
+        });
+        $('.mheader .title').css({
+            'color': titleColor
+        });
+    }
+}
+
+//执行函数位置
+$(function () {
+    ////正文图片点击弹出细览图集功能-通用js中的函数
+    var isMobile = (/iPad|iPhone|Android|Windows Phone|Nokia/).test(navigator.userAgent); //当前访问设备为移动端
+    if (isMobile) {
+        if (cbDetailConfig.detailAtlasDisplayMob !== false) {
+            console.log("detailAtlasDisplayMob")
+            detailAtlasDisplay();
+        }
+        if (cbDetailConfig.detailSetFontSizeMob !== false) {
+            console.log("detailSetFontSizeMob")
+            detailSetFontSize();
+        }
+        if (cbDetailConfig.detailSetFontColorMob !== false) {
+            console.log("detailSetFontColorMob")
+            detailSetFontColor();
+        }
+    }
+    if (!isMobile) {
+        if (cbDetailConfig.detailAtlasDisplayPc !== false) {
+            console.log("detailAtlasDisplayPc")
+            detailAtlasDisplay();
+        }
+        if (cbDetailConfig.detailSetFontSizePc !== false) {
+            console.log("detailSetFontSizePc")
+            detailSetFontSize();
+        }
+        if (cbDetailConfig.detailSetFontColorPc !== false) {
+            console.log("detailSetFontColorPc")
+            detailSetFontColor();
+        }
+    }
+})
\ No newline at end of file
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@@ -0,0 +1,9 @@
+(function(w,d,g,r){
+    w['_wd_o']=r;
+    w[r]=w[r]||function(){arguments.t=1*new Date(),(w[r].q=w[r].q||[]).push(arguments);};
+    var a=d.createElement('script'),m=d.getElementsByTagName('script')[0];
+    a.async=1;
+    a.src=g;m.parentNode.insertBefore(a,m);
+  })(window,document,'//webd.home.news.cn/webdig.js?z=1','_wa');
+
+ _wa('wd_paramtracker', '_wdxid=000000000000000000000000000000000000000000');
\ No newline at end of file
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@@ -0,0 +1,242 @@
+<div align="center">
+    
+# Donut 🍩 : Document Understanding Transformer
+
+[![Paper](https://img.shields.io/badge/Paper-arxiv.2111.15664-red)](https://arxiv.org/abs/2111.15664)
+[![Conference](https://img.shields.io/badge/ECCV-2022-blue)](#how-to-cite)
+[![Demo](https://img.shields.io/badge/Demo-Gradio-brightgreen)](#demo)
+[![Demo](https://img.shields.io/badge/Demo-Colab-orange)](#demo)
+[![PyPI](https://img.shields.io/pypi/v/donut-python?color=green&label=pip%20install%20donut-python)](https://pypi.org/project/donut-python)
+[![Downloads](https://static.pepy.tech/personalized-badge/donut-python?period=total&units=international_system&left_color=grey&right_color=brightgreen&left_text=Downloads)](https://pepy.tech/project/donut-python)
+
+Official Implementation of Donut and SynthDoG | [Paper](https://arxiv.org/abs/2111.15664) | [Slide](https://docs.google.com/presentation/d/1gv3A7t4xpwwNdpxV_yeHzEOMy-exJCAz6AlAI9O5fS8/edit?usp=sharing) | [Poster](https://docs.google.com/presentation/d/1m1f8BbAm5vxPcqynn_MbFfmQAlHQIR5G72-hQUFS2sk/edit?usp=sharing)
+
+</div>
+
+## Introduction
+
+**Donut** 🍩, **Do**cume**n**t **u**nderstanding **t**ransformer, is a new method of document understanding that utilizes an OCR-free end-to-end Transformer model. Donut does not require off-the-shelf OCR engines/APIs, yet it shows state-of-the-art performances on various visual document understanding tasks, such as visual document classification or information extraction (a.k.a. document parsing). 
+In addition, we present **SynthDoG** 🐶, **Synth**etic **Do**cument **G**enerator, that helps the model pre-training to be flexible on various languages and domains.
+
+Our academic paper, which describes our method in detail and provides full experimental results and analyses, can be found here:<br>
+> [**OCR-free Document Understanding Transformer**](https://arxiv.org/abs/2111.15664).<br>
+> [Geewook Kim](https://geewook.kim), [Teakgyu Hong](https://dblp.org/pid/183/0952.html), [Moonbin Yim](https://github.com/moonbings), [JeongYeon Nam](https://github.com/long8v), [Jinyoung Park](https://github.com/jyp1111), [Jinyeong Yim](https://jinyeong.github.io), [Wonseok Hwang](https://scholar.google.com/citations?user=M13_WdcAAAAJ), [Sangdoo Yun](https://sangdooyun.github.io), [Dongyoon Han](https://dongyoonhan.github.io), [Seunghyun Park](https://scholar.google.com/citations?user=iowjmTwAAAAJ). In ECCV 2022.
+
+<img width="946" alt="image" src="misc/overview.png">
+
+## Pre-trained Models and Web Demos
+
+Gradio web demos are available! [![Demo](https://img.shields.io/badge/Demo-Gradio-brightgreen)](#demo) [![Demo](https://img.shields.io/badge/Demo-Colab-orange)](#demo)
+|:--:|
+|![image](misc/screenshot_gradio_demos.png)|
+- You can run the demo with `./app.py` file.
+- Sample images are available at `./misc` and more receipt images are available at [CORD dataset link](https://huggingface.co/datasets/naver-clova-ix/cord-v2).
+- Web demos are available from the links in the following table.
+- Note: We have updated the Google Colab demo (as of June 15, 2023) to ensure its proper working.
+
+|Task|Sec/Img|Score|Trained Model|<div id="demo">Demo</div>|
+|---|---|---|---|---|
+| [CORD](https://github.com/clovaai/cord) (Document Parsing)   |   0.7 /<br> 0.7 /<br> 1.2   |  91.3 /<br> 91.1 /<br> 90.9    | [donut-base-finetuned-cord-v2](https://huggingface.co/naver-clova-ix/donut-base-finetuned-cord-v2/tree/official) (1280) /<br> [donut-base-finetuned-cord-v1](https://huggingface.co/naver-clova-ix/donut-base-finetuned-cord-v1/tree/official) (1280) /<br> [donut-base-finetuned-cord-v1-2560](https://huggingface.co/naver-clova-ix/donut-base-finetuned-cord-v1-2560/tree/official) | [gradio space web demo](https://huggingface.co/spaces/naver-clova-ix/donut-base-finetuned-cord-v2),<br>[google colab demo (updated at 23.06.15)](https://colab.research.google.com/drive/1NMSqoIZ_l39wyRD7yVjw2FIuU2aglzJi?usp=sharing) |
+| [Train Ticket](https://github.com/beacandler/EATEN) (Document Parsing)   |   0.6   |  98.7    | [donut-base-finetuned-zhtrainticket](https://huggingface.co/naver-clova-ix/donut-base-finetuned-zhtrainticket/tree/official) | [google colab demo (updated at 23.06.15)](https://colab.research.google.com/drive/1YJBjllahdqNktXaBlq5ugPh1BCm8OsxI?usp=sharing) |
+| [RVL-CDIP](https://www.cs.cmu.edu/~aharley/rvl-cdip) (Document Classification)     |  0.75   |   95.3      | [donut-base-finetuned-rvlcdip](https://huggingface.co/naver-clova-ix/donut-base-finetuned-rvlcdip/tree/official) | [gradio space web demo](https://huggingface.co/spaces/nielsr/donut-rvlcdip),<br>[google colab demo (updated at 23.06.15)](https://colab.research.google.com/drive/1iWOZHvao1W5xva53upcri5V6oaWT-P0O?usp=sharing) |
+| [DocVQA Task1](https://rrc.cvc.uab.es/?ch=17) (Document VQA) |  0.78       | 67.5 | [donut-base-finetuned-docvqa](https://huggingface.co/naver-clova-ix/donut-base-finetuned-docvqa/tree/official) | [gradio space web demo](https://huggingface.co/spaces/nielsr/donut-docvqa),<br>[google colab demo (updated at 23.06.15)](https://colab.research.google.com/drive/1oKieslZCulFiquequ62eMGc-ZWgay4X3?usp=sharing) |
+
+The links to the pre-trained backbones are here:
+- [`donut-base`](https://huggingface.co/naver-clova-ix/donut-base/tree/official): trained with 64 A100 GPUs (~2.5 days), number of layers (encoder: {2,2,14,2}, decoder: 4), input size 2560x1920, swin window size 10, IIT-CDIP (11M) and SynthDoG (English, Chinese, Japanese, Korean, 0.5M x 4).
+- [`donut-proto`](https://huggingface.co/naver-clova-ix/donut-proto/tree/official): (preliminary model) trained with 8 V100 GPUs (~5 days), number of layers (encoder: {2,2,18,2}, decoder: 4), input size 2048x1536, swin window size 8, and SynthDoG (English, Japanese, Korean, 0.4M x 3).
+
+Please see [our paper](#how-to-cite) for more details.
+
+## SynthDoG datasets
+
+![image](misc/sample_synthdog.png)
+
+The links to the SynthDoG-generated datasets are here:
+
+- [`synthdog-en`](https://huggingface.co/datasets/naver-clova-ix/synthdog-en): English, 0.5M.
+- [`synthdog-zh`](https://huggingface.co/datasets/naver-clova-ix/synthdog-zh): Chinese, 0.5M.
+- [`synthdog-ja`](https://huggingface.co/datasets/naver-clova-ix/synthdog-ja): Japanese, 0.5M.
+- [`synthdog-ko`](https://huggingface.co/datasets/naver-clova-ix/synthdog-ko): Korean, 0.5M.
+
+To generate synthetic datasets with our SynthDoG, please see `./synthdog/README.md` and [our paper](#how-to-cite) for details.
+
+## Updates
+
+**_2023-06-15_** We have updated all Google Colab demos to ensure its proper working.<br>
+**_2022-11-14_** New version 1.0.9 is released (`pip install donut-python --upgrade`). See [1.0.9 Release Notes](https://github.com/clovaai/donut/releases/tag/1.0.9).<br>
+**_2022-08-12_** Donut 🍩 is also available at [huggingface/transformers 🤗](https://huggingface.co/docs/transformers/main/en/model_doc/donut) (contributed by [@NielsRogge](https://github.com/NielsRogge)). `donut-python` loads the pre-trained weights from the `official` branch of the model repositories. See [1.0.5 Release Notes](https://github.com/clovaai/donut/releases/tag/1.0.5).<br>
+**_2022-08-05_** A well-executed hands-on tutorial on donut 🍩 is published at [Towards Data Science](https://towardsdatascience.com/ocr-free-document-understanding-with-donut-1acfbdf099be) (written by [@estaudere](https://github.com/estaudere)).<br>
+**_2022-07-20_** First Commit, We release our code, model weights, synthetic data and generator.
+
+## Software installation
+
+[![PyPI](https://img.shields.io/pypi/v/donut-python?color=green&label=pip%20install%20donut-python)](https://pypi.org/project/donut-python)
+[![Downloads](https://static.pepy.tech/personalized-badge/donut-python?period=total&units=international_system&left_color=grey&right_color=brightgreen&left_text=Downloads)](https://pepy.tech/project/donut-python)
+
+```bash
+pip install donut-python
+```
+
+or clone this repository and install the dependencies:
+```bash
+git clone https://github.com/clovaai/donut.git
+cd donut/
+conda create -n donut_official python=3.7
+conda activate donut_official
+pip install .
+```
+
+We tested [donut-python](https://pypi.org/project/donut-python/1.0.1) == 1.0.1 with:
+- [torch](https://github.com/pytorch/pytorch) == 1.11.0+cu113 
+- [torchvision](https://github.com/pytorch/vision) == 0.12.0+cu113
+- [pytorch-lightning](https://github.com/Lightning-AI/lightning) == 1.6.4
+- [transformers](https://github.com/huggingface/transformers) == 4.11.3
+- [timm](https://github.com/rwightman/pytorch-image-models) == 0.5.4
+
+**Note**: From several reported issues, we have noticed increased challenges in configuring the testing environment for `donut-python` due to recent updates in key dependency libraries. While we are actively working on a solution, we have updated the Google Colab demo (as of June 15, 2023) to ensure its proper working. For assistance, we encourage you to refer to the following demo links: [CORD Colab Demo](https://colab.research.google.com/drive/1NMSqoIZ_l39wyRD7yVjw2FIuU2aglzJi?usp=sharing), [Train Ticket Colab Demo](https://colab.research.google.com/drive/1YJBjllahdqNktXaBlq5ugPh1BCm8OsxI?usp=sharing), [RVL-CDIP Colab Demo](https://colab.research.google.com/drive/1iWOZHvao1W5xva53upcri5V6oaWT-P0O?usp=sharing), [DocVQA Colab Demo](https://colab.research.google.com/drive/1oKieslZCulFiquequ62eMGc-ZWgay4X3?usp=sharing).
+
+## Getting Started
+
+### Data
+
+This repository assumes the following structure of dataset:
+```bash
+> tree dataset_name
+dataset_name
+├── test
+│   ├── metadata.jsonl
+│   ├── {image_path0}
+│   ├── {image_path1}
+│             .
+│             .
+├── train
+│   ├── metadata.jsonl
+│   ├── {image_path0}
+│   ├── {image_path1}
+│             .
+│             .
+└── validation
+    ├── metadata.jsonl
+    ├── {image_path0}
+    ├── {image_path1}
+              .
+              .
+
+> cat dataset_name/test/metadata.jsonl
+{"file_name": {image_path0}, "ground_truth": "{\"gt_parse\": {ground_truth_parse}, ... {other_metadata_not_used} ... }"}
+{"file_name": {image_path1}, "ground_truth": "{\"gt_parse\": {ground_truth_parse}, ... {other_metadata_not_used} ... }"}
+     .
+     .
+```
+
+- The structure of `metadata.jsonl` file is in [JSON Lines text format](https://jsonlines.org), i.e., `.jsonl`. Each line consists of
+  - `file_name` : relative path to the image file.
+  - `ground_truth` : string format (json dumped), the dictionary contains either `gt_parse` or `gt_parses`. Other fields (metadata) can be added to the dictionary but will not be used.
+- `donut` interprets all tasks as a JSON prediction problem. As a result, all `donut` model training share a same pipeline. For training and inference, the only thing to do is preparing `gt_parse` or `gt_parses` for the task in format described below.
+
+#### For Document Classification
+The `gt_parse` follows the format of `{"class" : {class_name}}`, for example, `{"class" : "scientific_report"}` or `{"class" : "presentation"}`.
+- Google colab demo is available [here](https://colab.research.google.com/drive/1xUDmLqlthx8A8rWKLMSLThZ7oeRJkDuU?usp=sharing).
+- Gradio web demo is available [here](https://huggingface.co/spaces/nielsr/donut-rvlcdip).
+
+#### For Document Information Extraction
+The `gt_parse` is a JSON object that contains full information of the document image, for example, the JSON object for a receipt may look like `{"menu" : [{"nm": "ICE BLACKCOFFEE", "cnt": "2", ...}, ...], ...}`.
+- More examples are available at [CORD dataset](https://huggingface.co/datasets/naver-clova-ix/cord-v2).
+- Google colab demo is available [here](https://colab.research.google.com/drive/1o07hty-3OQTvGnc_7lgQFLvvKQuLjqiw?usp=sharing).
+- Gradio web demo is available [here](https://huggingface.co/spaces/naver-clova-ix/donut-base-finetuned-cord-v2).
+
+#### For Document Visual Question Answering
+The `gt_parses` follows the format of `[{"question" : {question_sentence}, "answer" : {answer_candidate_1}}, {"question" : {question_sentence}, "answer" : {answer_candidate_2}}, ...]`, for example, `[{"question" : "what is the model name?", "answer" : "donut"}, {"question" : "what is the model name?", "answer" : "document understanding transformer"}]`.
+- DocVQA Task1 has multiple answers, hence `gt_parses` should be a list of dictionary that contains a pair of question and answer.
+- Google colab demo is available [here](https://colab.research.google.com/drive/1Z4WG8Wunj3HE0CERjt608ALSgSzRC9ig?usp=sharing).
+- Gradio web demo is available [here](https://huggingface.co/spaces/nielsr/donut-docvqa).
+
+#### For (Pseudo) Text Reading Task
+The `gt_parse` looks like `{"text_sequence" : "word1 word2 word3 ... "}`
+- This task is also a pre-training task of Donut model.
+- You can use our **SynthDoG** 🐶 to generate synthetic images for the text reading task with proper `gt_parse`. See `./synthdog/README.md` for details.
+
+### Training
+
+This is the configuration of Donut model training on [CORD](https://github.com/clovaai/cord) dataset used in our experiment. 
+We ran this with a single NVIDIA A100 GPU.
+
+```bash
+python train.py --config config/train_cord.yaml \
+                --pretrained_model_name_or_path "naver-clova-ix/donut-base" \
+                --dataset_name_or_paths '["naver-clova-ix/cord-v2"]' \
+                --exp_version "test_experiment"    
+  .
+  .                                                                                                                                                                                                                                         
+Prediction: <s_menu><s_nm>Lemon Tea (L)</s_nm><s_cnt>1</s_cnt><s_price>25.000</s_price></s_menu><s_total><s_total_price>25.000</s_total_price><s_cashprice>30.000</s_cashprice><s_changeprice>5.000</s_changeprice></s_total>
+Answer: <s_menu><s_nm>Lemon Tea (L)</s_nm><s_cnt>1</s_cnt><s_price>25.000</s_price></s_menu><s_total><s_total_price>25.000</s_total_price><s_cashprice>30.000</s_cashprice><s_changeprice>5.000</s_changeprice></s_total>
+Normed ED: 0.0
+Prediction: <s_menu><s_nm>Hulk Topper Package</s_nm><s_cnt>1</s_cnt><s_price>100.000</s_price></s_menu><s_total><s_total_price>100.000</s_total_price><s_cashprice>100.000</s_cashprice><s_changeprice>0</s_changeprice></s_total>
+Answer: <s_menu><s_nm>Hulk Topper Package</s_nm><s_cnt>1</s_cnt><s_price>100.000</s_price></s_menu><s_total><s_total_price>100.000</s_total_price><s_cashprice>100.000</s_cashprice><s_changeprice>0</s_changeprice></s_total>
+Normed ED: 0.0
+Prediction: <s_menu><s_nm>Giant Squid</s_nm><s_cnt>x 1</s_cnt><s_price>Rp. 39.000</s_price><s_sub><s_nm>C.Finishing - Cut</s_nm><s_price>Rp. 0</s_price><sep/><s_nm>B.Spicy Level - Extreme Hot Rp. 0</s_price></s_sub><sep/><s_nm>A.Flavour - Salt & Pepper</s_nm><s_price>Rp. 0</s_price></s_sub></s_menu><s_sub_total><s_subtotal_price>Rp. 39.000</s_subtotal_price></s_sub_total><s_total><s_total_price>Rp. 39.000</s_total_price><s_cashprice>Rp. 50.000</s_cashprice><s_changeprice>Rp. 11.000</s_changeprice></s_total>
+Answer: <s_menu><s_nm>Giant Squid</s_nm><s_cnt>x1</s_cnt><s_price>Rp. 39.000</s_price><s_sub><s_nm>C.Finishing - Cut</s_nm><s_price>Rp. 0</s_price><sep/><s_nm>B.Spicy Level - Extreme Hot</s_nm><s_price>Rp. 0</s_price><sep/><s_nm>A.Flavour- Salt & Pepper</s_nm><s_price>Rp. 0</s_price></s_sub></s_menu><s_sub_total><s_subtotal_price>Rp. 39.000</s_subtotal_price></s_sub_total><s_total><s_total_price>Rp. 39.000</s_total_price><s_cashprice>Rp. 50.000</s_cashprice><s_changeprice>Rp. 11.000</s_changeprice></s_total>
+Normed ED: 0.039603960396039604                                                                                                                                  
+Epoch 29: 100%|█████████████| 200/200 [01:49<00:00,  1.82it/s, loss=0.00327, exp_name=train_cord, exp_version=test_experiment]
+```
+
+Some important arguments:
+
+- `--config` : config file path for model training.
+- `--pretrained_model_name_or_path` : string format, model name in Hugging Face modelhub or local path.
+- `--dataset_name_or_paths` : string format (json dumped), list of dataset names in Hugging Face datasets or local paths.
+- `--result_path` : file path to save model outputs/artifacts.
+- `--exp_version` : used for experiment versioning. The output files are saved at `{result_path}/{exp_version}/*`
+
+### Test
+
+With the trained model, test images and ground truth parses, you can get inference results and accuracy scores.
+
+```bash
+python test.py --dataset_name_or_path naver-clova-ix/cord-v2 --pretrained_model_name_or_path ./result/train_cord/test_experiment --save_path ./result/output.json
+100%|█████████████| 100/100 [00:35<00:00,  2.80it/s]
+Total number of samples: 100, Tree Edit Distance (TED) based accuracy score: 0.9129639764131697, F1 accuracy score: 0.8406020841373987
+```
+
+Some important arguments:
+
+- `--dataset_name_or_path` : string format, the target dataset name in Hugging Face datasets or local path.
+- `--pretrained_model_name_or_path` : string format, the model name in Hugging Face modelhub or local path.
+- `--save_path`: file path to save predictions and scores.
+
+## How to Cite
+If you find this work useful to you, please cite:
+```bibtex
+@inproceedings{kim2022donut,
+  title     = {OCR-Free Document Understanding Transformer},
+  author    = {Kim, Geewook and Hong, Teakgyu and Yim, Moonbin and Nam, JeongYeon and Park, Jinyoung and Yim, Jinyeong and Hwang, Wonseok and Yun, Sangdoo and Han, Dongyoon and Park, Seunghyun},
+  booktitle = {European Conference on Computer Vision (ECCV)},
+  year      = {2022}
+}
+```
+
+## License
+
+```
+MIT license
+
+Copyright (c) 2022-present NAVER Corp.
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in
+all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.  IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+THE SOFTWARE.
+```
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+      <title>Pineapple express: California to get drenched by back-to-back storms fueling a serious flood threat | CNN</title>
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The first of the two potent atmospheric river storms will develop and point at Northern California Wednesday before sweeping down the state and targeting Southern California Thursday. The storm will start out very warm – fueled by moisture from near Hawaii that earns it the moniker of a pineapple express – and unload mainly rain in all but the absolute highest elevations in Northern California Wednesday. Central California should expect steady rain and gusty winds to begin late Wednesday and continue into Thursday. Steady rainfall and periods of stronger winds will arrive in Southern California by Thursday morning. At the same time, much cooler air will begin to overspread the state. More snow will accumulate and at lower elevations across parts of Northern California and the Sierra Nevada Thursday as cooler temperatures take over. Feet of snow could bury the highest peaks of the Sierras, with at least 6 inches of snow possible for some lower-elevation mountain roadways. The snow is welcomed for California’s snowpack, which has been beleaguered by warmth and storms that have brought more rain than snow. This winter’s snowpack is just 52% of average for this time of year, according to the latest survey conducted by the state’s Department of Water Resources Tuesday. Snowpack is a vital water source, and the survey helps California to forecast how much water will be available for the rest of the year. A few thunderstorms could rumble to life in the western half of California on Thursday and may produce bursts of heavier rain. A series of torrential thunderstorms fueled a prolific rainfall event that plunged San Diego underwater last week. Flooding is possible across a significant portion of California Wednesday and Thursday. A Level 2 out of 4 risk of excessive rainfall is in place Wednesday for portions of Northern and Central California, according to the Weather Prediction Center. The same risk level exits Thursday for Southern California as the rain shifts south. Roadways and low-lying areas are at the most risk for flooding, but rises on some waterways are possible. Showery weather will linger across much of California Friday as moisture slowly pushes out and across the Southwest. More potent atmospheric river event arrives Sunday Respite from soaking weather in California will be brief: a second, more potent atmospheric river-fueled storm is expected to arrive Sunday. Full details on this storm are still coming into focus, but forecast models are pointing to a more widespread and prolonged flood threat, especially for Southern California. At the very least, another few days of rain and snow are likely across the rest of the state. The second storm looks to tap into even more robust moisture from an atmospheric river than the first, with the potential to stall over the region and unload several inches of rain from Sunday to around midweek. Temperatures are also likely to start out much cooler with this storm than with the first storm, with more snow possible down to mountain pass levels or potentially even lower elevations. A wet, cooler pattern is likely to extend well after the second atmospheric river wraps up. Below average temperatures and above average precipitation amounts are likely to persist into mid-February, according to outlooks produced by the Climate Prediction Center. CNN’s Stephanie Elam contributed to this report","articleSection":["weather"],"author":[{"@type":"Person","name":"Mary Gilbert","url":""}],"dateModified":"2024-01-30T20:49:38.850Z","description":"A potent pair of atmospheric river-fueled storms are about to unleash a windy and incredibly wet week in California in what is the first clear sign of the influence El Niño was expected to have on the state this winter.","headline":"A potent pair of atmospheric rivers will drench California as El Niño makes its first mark on winter","image":[{"@type":"ImageObject","contentUrl":"https://media.cnn.com/api/v1/images/stellar/prod/wip-jet-precip-water-other-wednesday-013024.png?c=original","width":"1920","height":"1080","creditText":"CNN Weather"},{"@type":"ImageObject","contentUrl":"https://media.cnn.com/api/v1/images/stellar/prod/20240122-zaf-s44-012.jpg?c=original","caption":" Emergency personnel rescued two individuals trapped on a flooded road in San Diego County.","sourceOrganization":{"@type":"Organization","name":"Zuma"},"width":"2500","height":"1666","creditText":"Nelvin C. Cepeda/San Diego Union-Tribune/Zuma","dateCreated":"2024-01-22T05:00:00.000Z"},{"@type":"ImageObject","contentUrl":"https://media.cnn.com/api/v1/images/stellar/prod/240130103046-01-san-diego-flooding-012324.jpg?c=original","caption":"Homeowner Maria Ramirez walks through her San Diego home damaged by flooding on Jan. 23, 2024.","sourceOrganization":{"@type":"Organization","name":"Associated Press"},"width":"3000","height":"2000","creditText":"Denis Poroy/AP","dateCreated":"2024-01-23T00:00:00.000Z"},{"@type":"ImageObject","contentUrl":"https://media.cnn.com/api/v1/images/stellar/prod/cnn-digital-8-14day-precip-outlook-013024.png?c=original","width":"1920","height":"1080","creditText":"CNN Weather"},{"@type":"ImageObject","contentUrl":"https://media.cnn.com/api/v1/images/stellar/prod/wip-jet-precip-water-other-wednesday-013024.png?c=original","caption":"An atmospheric river will fuel a flood threat in California on Wednesday and Thursday. Pictured are forecast values of precipitable water, a measure of how much moisture is in the atmosphere on Wednesday. Greens and yellows indicate very moist air which is capable of generating more rain and snow. The flood threat will shift south Thursday.","width":"1920","height":"1080","creditText":"CNN Weather"}],"thumbnailUrl":"https://media.cnn.com/api/v1/images/stellar/prod/wip-jet-precip-water-other-wednesday-013024.png?c=original","inLanguage":"en","mainEntityOfPage":{"@type":"WebPage","@context":"https://schema.org","url":"https://www.cnn.com/2024/01/30/weather/california-pineapple-express-storm-flooding-climate/index.html","dateModified":"2024-01-30T20:49:38.850Z","inLanguage":"en","additionalType":"article_leaf","publisher":{"@type":"NewsMediaOrganization","name":"CNN","logo":"https://media.cnn.com/api/v1/images/stellar/prod/cnnlogo.png?q=w_60,h_61","foundingDate":"1980-06-01","url":"https://www.cnn.com","sameAs":["https://www.facebook.com/cnn/","https://twitter.com/CNN","https://www.instagram.com/cnn/","https://www.youtube.com/cnn"]},"name":"A potent pair of atmospheric rivers will drench California as El Niño makes its first mark on winter","headline":"A potent pair of atmospheric rivers will drench California as El Niño makes its first mark on winter","description":"A potent pair of atmospheric river-fueled storms are about to unleash a windy and incredibly wet week in California in what is the first clear sign of the influence El Niño was expected to have on the state this winter.","datePublished":"2024-01-30T16:43:36.059Z"},"publisher":{"@type":"NewsMediaOrganization","name":"CNN","logo":"https://media.cnn.com/api/v1/images/stellar/prod/cnnlogo.png?q=w_60,h_61","foundingDate":"1980-06-01","url":"https://www.cnn.com","sameAs":["https://www.facebook.com/cnn/","https://twitter.com/CNN","https://www.instagram.com/cnn/","https://www.youtube.com/cnn"]},"timeRequired":"P0Y0M0DT0H3M5S","wordCount":694,"datePublished":"2024-01-30T16:43:36.059Z","isAccessibleForFree":false}</script><style>.headline--lite .headline{margin-top:0;font-weight:700}.subheader--lite{font-weight:700}.footer--lite{text-align:center;padding:10px;border-top:1px solid #e6e6e6}.header--lite{padding:10px;border-bottom:1px solid #e6e6e6}.header--lite .title{color:#c00;font-weight:700}body,html{margin:0}body,h1,h2,h3,h4,h5{font-family:Helvetica,sans-serif}html{height:100%;padding:0;width:100%}.layout-with-rail__lite{padding:20px}</style></head>
+  <body class="weather">
+          <div>
+          <header class="header--lite">
+    <a href='/' class="title">CNN</a>
+    <span>1/30/2024</span>
+</header>
+
+</div>
+
+    <div class="layout-with-rail__lite">
+      <section>  <div class="breadcrumb
+  
+  " data-uri="cms.cnn.com/_components/breadcrumb/instances/cls0aw110007726oxa5tc37cp@published" data-component-name="breadcrumb" data-component-variation="breadcrumb">
+
+
+</div>
+
+  <div class="headline--lite">
+	<h2 class="headline">A potent pair of atmospheric rivers will drench California as El Niño makes its first mark on winter</h2>
+      <p class="byline--lite">
+  By Mary Gilbert, CNN Meteorologist
+</p>
+      <p class="timestamp--lite">
+Updated: 
+        3:49 PM EST, Tue January 30, 2024
+    </p>
+
+</div>
+
+</section>
+      <section>  <article 
+  class="article--lite"
+  role="main"
+  data-unselectable="true"
+>
+    <p class="source--lite">
+  Source: CNN
+</p>
+  <p class="paragraph--lite">
+  A potent pair of <a href="https://www.cnn.com/2023/03/09/weather/what-is-an-atmospheric-river-xpn/index.html">atmospheric river</a>-fueled storms are about to unleash a windy and incredibly wet week in California in what is the first clear sign of the influence <a href="https://www.cnn.com/2023/07/14/weather/what-is-el-nino-xpn/index.html">El Niño</a> was expected to have on the state this winter.
+</p>
+
+  <p class="paragraph--lite">
+  The soaking storms will raise the flood threat across much of California into next week, but it appears the wet pattern is likely to continue well into February as a more typical El Niño pattern kicks into gear.
+</p>
+
+  <p class="paragraph--lite">
+  El Niño – a <a href="https://www.cnn.com/2023/10/19/us/noaa-winter-weather-outlook-climate/index.html">natural phenomenon</a> in the tropical Pacific<strong> </strong>that influences weather around the globe – causes changes in the jet stream that can point storms directly at California. Storms can also tap into an extra-potent supply of moisture from the tropics called an atmospheric river.
+</p>
+
+  <p class="paragraph--lite">
+  El Niño hasn’t materialized many atmospheric rivers<strong> </strong>for California so far this winter, with most hitting <a href="https://www.cnn.com/2023/12/05/weather/pacific-northwest-atmospheric-rivers-rain-tuesday/index.html">the Pacific Northwes</a>t.
+</p>
+
+  <p class="paragraph--lite">
+  But all that is set to change this week.
+</p>
+
+  <p class="paragraph--lite">
+  The first of the two potent atmospheric river storms will develop and point at Northern California Wednesday before sweeping down the state and targeting Southern California Thursday.
+</p>
+
+  <p class="paragraph--lite">
+  The storm will start out very warm – fueled by moisture from near Hawaii that earns it the moniker of a pineapple express – and unload mainly rain in all but the absolute highest elevations in Northern California Wednesday. Central California should expect steady rain and gusty winds to begin late Wednesday and continue into Thursday.
+</p>
+
+  <p class="paragraph--lite">
+  Steady rainfall and periods of stronger winds will arrive in Southern California by Thursday morning. At the same time, much cooler air will begin to overspread the state.
+</p>
+
+  <p class="paragraph--lite">
+  More snow will accumulate and at lower elevations across parts of Northern California and the Sierra Nevada Thursday as cooler temperatures take over. Feet of snow could bury the highest peaks of the Sierras, with at least 6 inches of snow possible for some lower-elevation mountain roadways.
+</p>
+
+  <p class="paragraph--lite">
+  The snow is welcomed for California’s snowpack, which has been beleaguered by warmth and storms that have brought more rain than snow. <a href="https://www.cnn.com/2024/01/11/climate/west-snow-water-reservoirs-climate/index.html">This winter’s snowpack</a> is just 52% of average for this time of year, according to the latest survey conducted by the state’s Department of Water Resources Tuesday. Snowpack is a vital water source, and the survey helps California to forecast how much water will be available for the rest of the year.
+</p>
+
+  <p class="paragraph--lite">
+  A few thunderstorms could rumble to life in the western half of California on Thursday and may produce bursts of heavier rain. A<strong> </strong>series of torrential thunderstorms fueled a prolific rainfall event that plunged <a href="https://www.cnn.com/2024/01/23/weather/rain-ice-storm-flooding-forecast-tuesday/index.html">San Diego underwater</a> last week.
+</p>
+
+  <p class="paragraph--lite">
+  Flooding is possible across a significant portion of California Wednesday and Thursday. A Level 2 out of 4 risk of excessive rainfall is in place Wednesday for portions of Northern and Central California, according to the Weather Prediction Center. The same risk level exits Thursday for Southern California as the rain shifts south.
+</p>
+
+  <p class="paragraph--lite">
+  Roadways and low-lying areas are at the most risk for flooding, but rises on some waterways are possible.
+</p>
+
+  <p class="paragraph--lite">
+  Showery weather will linger across much of California Friday as moisture slowly pushes out and across the Southwest.
+</p>
+
+  <h3 class="subheader--lite">
+    More potent atmospheric river event arrives Sunday
+</h3>
+
+  <p class="paragraph--lite">
+  Respite from soaking weather in California will be brief: a second, more potent atmospheric river-fueled storm is expected to arrive Sunday.
+</p>
+
+  <p class="paragraph--lite">
+  Full details on this storm are still coming into focus, but forecast models are pointing to a more widespread and prolonged<strong> </strong>flood threat, especially for Southern California. At the very least, another few days of rain and snow are likely across the rest of the state.
+</p>
+
+  <p class="paragraph--lite">
+  The second storm looks to tap into even more robust moisture from an atmospheric river than the first, with the potential to stall over the region and unload several inches of rain from Sunday to around midweek.
+</p>
+
+  <p class="paragraph--lite">
+  Temperatures are also likely to start out much cooler with this storm than with the first storm, with more snow possible down to mountain pass levels or potentially even lower elevations.
+</p>
+
+  <p class="paragraph--lite">
+  A wet, cooler pattern is likely to extend well after the second atmospheric river wraps up.
+</p>
+
+  <p class="paragraph--lite">
+  Below average temperatures and above average precipitation amounts are likely to persist into mid-February, according to outlooks produced by the Climate Prediction Center.
+</p>
+
+  <p class="paragraph--lite">
+  <em>CNN’s Stephanie Elam contributed to this report</em>
+</p>
+
+  <p class="paragraph--lite"><a href="https://www.cnn.com/2024/01/30/weather/california-pineapple-express-storm-flooding-climate/index.html">See Full Web Article</a></p>
+</article>
+
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class="l"><span class="l"></span><section><div><div class="fp gf gg gh gi gj"></div><div class="gk gl gm gn go"><div class="ab ca"><div class="ch bg fw fx fy fz"><div><h1 id="d36f" class="pw-post-title gp gq gr be gs gt gu gv gw gx gy gz ha hb hc hd he hf hg hh hi hj hk hl hm hn ho hp hq hr bj" data-testid="storyTitle">Effortless Document Extraction: A Guide to Using Unstructured API and Data Connectors</h1><div class="hs ht hu hv hw"><div class="speechify-ignore ab co"><div class="speechify-ignore bg l"><div class="hx hy hz ia ib ab"><div><div class="ab ic"><a rel="noopener follow" href="/@unstructured-io?source=post_page-----6c2659eda4af--------------------------------"><div><div class="bl" aria-hidden="false"><div class="l id ie bx if ig"><div class="l fg"><img alt="Unstructured" class="l fa bx dc dd cw" src="https://miro.medium.com/v2/resize:fill:88:88/1*a7Pk7jvzpMAFr8a9mxuF9Q.png" width="44" height="44" loading="lazy" data-testid="authorPhoto"/><div class="ih bx l dc dd fp n ii 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class="af ag ah ai aj ak al am an ao ap aq ar is ab q" data-testid="publicationName" href="https://medium.com/unstructured-io?source=post_page-----6c2659eda4af--------------------------------" rel="noopener follow"><p class="be b bf z jh ji jj jk jl jm jn jo bj">Unstructured</p></a></div></div></div><div class="h k"><span class="it iu" aria-hidden="true"><span class="be b bf z dt">·</span></span></div></div><span class="be b bf z dt"><div class="ab ae"><span data-testid="storyReadTime">4 min read</span><div class="jp jq l" aria-hidden="true"><span class="l" aria-hidden="true"><span class="be b bf z dt">·</span></span></div><span data-testid="storyPublishDate">Jul 21, 2023</span></div></span></div></span></div></div></div><div class="ab co jr js jt ju jv jw jx jy jz ka kb kc kd ke kf kg"><div class="h k w fd fe q"><div class="kw l"><div class="ab q kx"><div class="pw-multi-vote-icon fg jg ky kz la"><div class=""><div class="lb lc ld le lf lg lh am li lj lk la"><svg width="24" 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aria-controls="postFooterSocialMenu" aria-expanded="false" aria-label="Share Post" data-testid="headerSocialShareButton" class="af fh ah ai aj ak al mf an ao ap eu mg mh lv mi mj mk ml mm s mn mo mp mq mr ms mt u mu mv mw"><svg width="24" height="24" viewBox="0 0 24 24" fill="none"><path fill-rule="evenodd" clip-rule="evenodd" d="M15.22 4.93a.42.42 0 0 1-.12.13h.01a.45.45 0 0 1-.29.08.52.52 0 0 1-.3-.13L12.5 3v7.07a.5.5 0 0 1-.5.5.5.5 0 0 1-.5-.5V3.02l-2 2a.45.45 0 0 1-.57.04h-.02a.4.4 0 0 1-.16-.3.4.4 0 0 1 .1-.32l2.8-2.8a.5.5 0 0 1 .7 0l2.8 2.8a.42.42 0 0 1 .07.5zm-.1.14zm.88 2h1.5a2 2 0 0 1 2 2v10a2 2 0 0 1-2 2h-11a2 2 0 0 1-2-2v-10a2 2 0 0 1 2-2H8a.5.5 0 0 1 .35.14c.1.1.15.22.15.35a.5.5 0 0 1-.15.35.5.5 0 0 1-.35.15H6.4c-.5 0-.9.4-.9.9v10.2a.9.9 0 0 0 .9.9h11.2c.5 0 .9-.4.9-.9V8.96c0-.5-.4-.9-.9-.9H16a.5.5 0 0 1 0-1z" fill="currentColor"></path></svg><div class="j i d"><p class="be b bf z dt">Share</p></div></button></div></div></div></div></div></div></div></div></div><p id="6555" class="pw-post-body-paragraph mx my gr mz b na nb nc nd ne nf ng nh ni nj nk nl nm nn no np nq nr ns nt nu gk bj">In the vast digital universe, data is the lifeblood that drives decision-making and innovation. But not all data is created equal. Unstructured data in images and documents often hold a wealth of information that can be challenging to extract and analyze.</p><p id="e231" class="pw-post-body-paragraph mx my gr mz b na nb nc nd ne nf ng nh ni nj nk nl nm nn no np nq nr ns nt nu gk bj">Enter <a class="af nv" href="https://www.unstructured.io/" rel="noopener ugc nofollow" target="_blank">Unstructured.io</a>, a powerful tool to extract and efficiently transform structured data. With sixteen and counting pre-built connectors, the API can easily integrate with various data sources, including AWS S3, GitHub, Google Cloud Storage, and more.</p><p id="786c" class="pw-post-body-paragraph mx my gr mz b na nb nc nd ne nf ng nh ni nj nk nl nm nn no np nq nr ns nt nu gk bj">In this guide, we’ll cover the advantages of using the Unstructured API and Connector module, walk you through a step-by-step process of using it with the S3 Connector as an example, and show you how to be a part of the Unstructured community.</p><h1 id="d5ea" class="nw nx gr be ny nz oa ob oc od oe of og oh oi oj ok ol om on oo op oq or os ot bj">Why Use Unstructured API?</h1><p id="290a" class="pw-post-body-paragraph mx my gr mz b na ou nc nd ne ov ng nh ni ow nk nl nm ox no np nq oy ns nt nu gk bj">Use cases for the Unstructured open-source library and API are vast; the possibilities are endless, from analyzing customer feedback in real time to extracting insights from large document repositories. While the Unstructured <a class="af nv" href="https://github.com/Unstructured-IO/unstructured" rel="noopener ugc nofollow" target="_blank">open-source library</a> offers robust functionality, using the <a class="af nv" href="https://github.com/Unstructured-IO/unstructured-api" rel="noopener ugc nofollow" target="_blank">Unstructured API</a> brings several compelling advantages:</p><ol class=""><li id="d797" class="mx my gr mz b na nb nc nd ne nf ng nh ni nj nk nl nm nn no np nq nr ns nt nu oz pa pb bj"><strong class="mz gs">Ease of Use</strong>: Managing dependencies is unnecessary with the API. All you need is an API key, and you’re ready to go.</li><li id="12db" class="mx my gr mz b na pc nc nd ne pd ng nh ni pe nk nl nm pf no np nq pg ns nt nu oz pa pb bj"><strong class="mz gs">Scalability</strong>: Unstructured API can handle large volumes of data, making it perfect for enterprise-scale projects.</li><li id="a4ed" class="mx my gr mz b na pc nc nd ne pd ng nh ni pe nk nl nm pf no np nq pg ns nt nu oz pa pb bj"><strong class="mz gs">Continuous Updates</strong>: As a hosted service, the API benefits from constant updates and improvements without requiring manual updates.</li></ol><p id="569a" class="pw-post-body-paragraph mx my gr mz b na nb nc nd ne nf ng nh ni nj nk nl nm nn no np nq nr ns nt nu gk bj">To show how easy it is, we’ll walk you through using Unstructured API with S3 Connector step-by-step.</p><h1 id="3a2a" class="nw nx gr be ny nz oa ob oc od oe of og oh oi oj ok ol om on oo op oq or os ot bj">Guide to Using Unstructured API</h1><p id="94ca" class="pw-post-body-paragraph mx my gr mz b na ou nc nd ne ov ng nh ni ow nk nl nm ox no np nq oy ns nt nu gk bj">Before we start, you will need the following:</p><ol class=""><li id="2cf4" class="mx my gr mz b na nb nc nd ne nf ng nh ni nj nk nl nm nn no np nq nr ns nt nu oz pa pb bj">An Unstructured API Key and <code class="cw ph pi pj pk b">unstructured-ingest</code> library installed</li><li id="e09b" class="mx my gr mz b na pc nc nd ne pd ng nh ni pe nk nl nm pf no np nq pg ns nt nu oz pa pb bj">An AWS S3 bucket with documents you want to process</li><li id="3c4f" class="mx my gr mz b na pc nc nd ne pd ng nh ni pe nk nl nm pf no np nq pg ns nt nu oz pa pb bj">Basic knowledge of command-line operations</li></ol><h1 id="f6d5" class="nw nx gr be ny nz oa ob oc od oe of og oh oi oj ok ol om on oo op oq or os ot bj">Step-by-Step Process:</h1><ol class=""><li id="c4da" class="mx my gr mz b na ou nc nd ne ov ng nh ni ow nk nl nm ox no np nq oy ns nt nu oz pa pb bj"><strong class="mz gs">Get your Unstructured API Key</strong></li></ol><p id="a495" class="pw-post-body-paragraph mx my gr mz b na nb nc nd ne nf ng nh ni nj nk nl nm nn no np nq nr ns nt nu gk bj">First, request an API Key by entering your `Organization Name` and `Email` on <a class="af nv" href="https://unstructured.io/#get-api-key" rel="noopener ugc nofollow" target="_blank">the request form</a>. This key is your passport to the powerful features of the Unstructured API.</p><figure class="po pp pq pr ps pt pl pm paragraph-image"><div role="button" tabindex="0" class="pu pv fg pw bg px"><div class="pl pm pn"><picture><source srcSet="https://miro.medium.com/v2/resize:fit:640/format:webp/0*Lxx52W-0_aBj36zs 640w, https://miro.medium.com/v2/resize:fit:720/format:webp/0*Lxx52W-0_aBj36zs 720w, https://miro.medium.com/v2/resize:fit:750/format:webp/0*Lxx52W-0_aBj36zs 750w, https://miro.medium.com/v2/resize:fit:786/format:webp/0*Lxx52W-0_aBj36zs 786w, https://miro.medium.com/v2/resize:fit:828/format:webp/0*Lxx52W-0_aBj36zs 828w, https://miro.medium.com/v2/resize:fit:1100/format:webp/0*Lxx52W-0_aBj36zs 1100w, https://miro.medium.com/v2/resize:fit:1400/format:webp/0*Lxx52W-0_aBj36zs 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px" type="image/webp"/><source data-testid="og" srcSet="https://miro.medium.com/v2/resize:fit:640/0*Lxx52W-0_aBj36zs 640w, https://miro.medium.com/v2/resize:fit:720/0*Lxx52W-0_aBj36zs 720w, https://miro.medium.com/v2/resize:fit:750/0*Lxx52W-0_aBj36zs 750w, https://miro.medium.com/v2/resize:fit:786/0*Lxx52W-0_aBj36zs 786w, https://miro.medium.com/v2/resize:fit:828/0*Lxx52W-0_aBj36zs 828w, https://miro.medium.com/v2/resize:fit:1100/0*Lxx52W-0_aBj36zs 1100w, https://miro.medium.com/v2/resize:fit:1400/0*Lxx52W-0_aBj36zs 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px"/><img alt="" class="bg me py c" width="700" height="341" loading="lazy" role="presentation"/></picture></div></div><figcaption class="pz fc qa pl pm qb qc be b bf z dt">Unstructured API Key Request Form</figcaption></figure><p id="a31f" class="pw-post-body-paragraph mx my gr mz b na nb nc nd ne nf ng nh ni nj nk nl nm nn no np nq nr ns nt nu gk bj"><strong class="mz gs">2. Explore the Pre-Built Data Connectors</strong></p><p id="549a" class="pw-post-body-paragraph mx my gr mz b na nb nc nd ne nf ng nh ni nj nk nl nm nn no np nq nr ns nt nu gk bj">The ability to connect with various data sources is crucial in data processing. Unstructured’s <a class="af nv" href="https://unstructured-io.github.io/unstructured/connectors.html" rel="noopener ugc nofollow" target="_blank">Connectors module</a> is designed to provide this flexibility, allowing you to seamlessly integrate your preprocessing pipeline with your preferred data storage platforms.</p><p id="fac5" class="pw-post-body-paragraph mx my gr mz b na nb nc nd ne nf ng nh ni nj nk nl nm nn no np nq nr ns nt nu gk bj">The Connector module enables you to batch-process all your documents and store structured outputs locally on your file system. This module also supports various connectors designed for a specific data storage platform.</p><p id="8153" class="pw-post-body-paragraph mx my gr mz b na nb nc nd ne nf ng nh ni nj nk nl nm nn no np nq nr ns nt nu gk bj">Currently, the Unstructured API supports over a dozen pre-built connectors, each designed to integrate seamlessly with different data sources. These include AWS S3, Google Cloud Storage, Azure Blob Storage, and more. This guide will focus on the S3 Connector as an example.</p><p id="38ec" class="pw-post-body-paragraph mx my gr mz b na nb nc nd ne nf ng nh ni nj nk nl nm nn no np nq nr ns nt nu gk bj"><strong class="mz gs">3. Run Unstructured API with the S3 Connector</strong></p><p id="20f4" class="pw-post-body-paragraph mx my gr mz b na nb nc nd ne nf ng nh ni nj nk nl nm nn no np nq nr ns nt nu gk bj">With your API key and S3 bucket ready, it’s time to run the Unstructured API. To run the `unstructured-ingest` command, you need to install the unstructured open-source library that can be easily obtained from this <a class="af nv" href="https://github.com/Unstructured-IO/unstructured" rel="noopener ugc nofollow" target="_blank">GitHub repository</a>.</p><p id="7b06" class="pw-post-body-paragraph mx my gr mz b na nb nc nd ne nf ng nh ni nj nk nl nm nn no np nq nr ns nt nu gk bj">Simply follow the instructions in the repository to install the library and start using the API command easily. As stated on the <a class="af nv" href="https://github.com/Unstructured-IO/unstructured/blob/main/Ingest.md" rel="noopener ugc nofollow" target="_blank">installation notes</a>, please make sure to install the following extras when installing unstructured, needed for the following command:</p><pre class="po pp pq pr ps qd pk qe bo qf ba bj"><span id="f6fa" class="qg nx gr pk b bf qh qi l qj qk">pip install &quot;unstructured[s3,pdf]&quot;</span></pre><p id="897b" class="pw-post-body-paragraph mx my gr mz b na nb nc nd ne nf ng nh ni nj nk nl nm nn no np nq nr ns nt nu gk bj">This command will process the documents in your S3 bucket:</p><pre class="po pp pq pr ps qd pk qe bo qf ba bj"><span id="732c" class="qg nx gr pk b bf qh qi l qj qk">unstructured-ingest s3 \<br/> --remote-url s3://utic-dev-tech-fixtures/small-pdf-set/ \<br/> --anonymous \<br/> --structured-output-dir s3-small-batch-output \<br/> --num-processes 8 \<br/> --api-key &lt;&lt;YOUR-API-KEY&gt; \<br/> --partition-by-api</span></pre><p id="82b9" class="pw-post-body-paragraph mx my gr mz b na nb nc nd ne nf ng nh ni nj nk nl nm nn no np nq nr ns nt nu gk bj"><strong class="mz gs">Explanations:</strong></p><ul class=""><li id="d409" class="mx my gr mz b na nb nc nd ne nf ng nh ni nj nk nl nm nn no np nq nr ns nt nu ql pa pb bj">Include <code class="cw ph pi pj pk b">--api-key</code> from the earlier step in your API call.</li><li id="0bce" class="mx my gr mz b na pc nc nd ne pd ng nh ni pe nk nl nm pf no np nq pg ns nt nu ql pa pb bj">Use the <code class="cw ph pi pj pk b">--partition-by-api</code> flag to indicate running the partition through API rather than the library.</li><li id="a41a" class="mx my gr mz b na pc nc nd ne pd ng nh ni pe nk nl nm pf no np nq pg ns nt nu ql pa pb bj">Specify <code class="cw ph pi pj pk b">--num-processes</code>to distribute the workload across multiple processes.</li><li id="3b5d" class="mx my gr mz b na pc nc nd ne pd ng nh ni pe nk nl nm pf no np nq pg ns nt nu ql pa pb bj">Use <code class="cw ph pi pj pk b">--anonymous</code>to make an API request to S3 without local AWS credentials.</li><li id="ace9" class="mx my gr mz b na pc nc nd ne pd ng nh ni pe nk nl nm pf no np nq pg ns nt nu ql pa pb bj">Set the output directory using <code class="cw ph pi pj pk b">--structured-output-dir</code>parameter.</li></ul><p id="6df6" class="pw-post-body-paragraph mx my gr mz b na nb nc nd ne nf ng nh ni nj nk nl nm nn no np nq nr ns nt nu gk bj"><strong class="mz gs">4. Review the final output</strong></p><p id="e009" class="pw-post-body-paragraph mx my gr mz b na nb nc nd ne nf ng nh ni nj nk nl nm nn no np nq nr ns nt nu gk bj">Once the command completes, you’ll find the structured outputs in your local file system. These files contain the extracted information from your unstructured data, ready for analysis or further processing.</p><figure class="po pp pq pr ps pt pl pm paragraph-image"><div role="button" tabindex="0" class="pu pv fg pw bg px"><div class="pl pm pn"><picture><source srcSet="https://miro.medium.com/v2/resize:fit:640/format:webp/0*zexKMmRYVrpngDRQ 640w, https://miro.medium.com/v2/resize:fit:720/format:webp/0*zexKMmRYVrpngDRQ 720w, https://miro.medium.com/v2/resize:fit:750/format:webp/0*zexKMmRYVrpngDRQ 750w, https://miro.medium.com/v2/resize:fit:786/format:webp/0*zexKMmRYVrpngDRQ 786w, https://miro.medium.com/v2/resize:fit:828/format:webp/0*zexKMmRYVrpngDRQ 828w, https://miro.medium.com/v2/resize:fit:1100/format:webp/0*zexKMmRYVrpngDRQ 1100w, https://miro.medium.com/v2/resize:fit:1400/format:webp/0*zexKMmRYVrpngDRQ 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px" type="image/webp"/><source data-testid="og" srcSet="https://miro.medium.com/v2/resize:fit:640/0*zexKMmRYVrpngDRQ 640w, https://miro.medium.com/v2/resize:fit:720/0*zexKMmRYVrpngDRQ 720w, https://miro.medium.com/v2/resize:fit:750/0*zexKMmRYVrpngDRQ 750w, https://miro.medium.com/v2/resize:fit:786/0*zexKMmRYVrpngDRQ 786w, https://miro.medium.com/v2/resize:fit:828/0*zexKMmRYVrpngDRQ 828w, https://miro.medium.com/v2/resize:fit:1100/0*zexKMmRYVrpngDRQ 1100w, https://miro.medium.com/v2/resize:fit:1400/0*zexKMmRYVrpngDRQ 1400w" sizes="(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px"/><img alt="" class="bg me py c" width="700" height="634" loading="lazy" role="presentation"/></picture></div></div><figcaption class="pz fc qa pl pm qb qc be b bf z dt">The PDF parser output in JSON format</figcaption></figure><p id="4e3f" class="pw-post-body-paragraph mx my gr mz b na nb nc nd ne nf ng nh ni nj nk nl nm nn no np nq nr ns nt nu gk bj">Looking ahead, Unstructured is developing a downstream connector to write back to AWS S3. This feature will allow you to store the output directly onto S3, streamlining your data pipeline. If you need to store the outputs in an S3 bucket, you can now use the <a class="af nv" href="https://docs.aws.amazon.com/cli/latest/userguide/cli-services-s3-commands.html" rel="noopener ugc nofollow" target="_blank">AWS S3 CLI</a> to store the output in your S3 bucket.</p><h1 id="d754" class="nw nx gr be ny nz oa ob oc od oe of og oh oi oj ok ol om on oo op oq or os ot bj">Join the Unstructured Community Group</h1><p id="dd22" class="pw-post-body-paragraph mx my gr mz b na ou nc nd ne ov ng nh ni ow nk nl nm ox no np nq oy ns nt nu gk bj">Ready to get started? Request your API key today and unlock the power of Unstructured API and Connectors. And join the Unstructured <a class="af nv" href="https://join.slack.com/t/unstructuredw-kbe4326/shared_invite/zt-1nlh1ot5d-dfY7zCRlhFboZrIWLA4Qgw" rel="noopener ugc nofollow" target="_blank">community group</a> to connect with other users, ask questions, share your experiences, and get the latest updates. We can’t wait to see what you’ll build.</p></div></div></div><div class="ab ca qm qn qo qp" role="separator"><span class="qq bx bl qr qs qt"></span><span class="qq bx bl qr qs qt"></span><span class="qq bx bl qr qs"></span></div><div class="gk gl gm gn go"><div class="ab ca"><div class="ch bg fw fx fy fz"><p id="1248" class="pw-post-body-paragraph mx my gr mz b na nb nc nd ne nf ng nh ni nj nk nl nm nn no np nq nr ns nt nu gk bj"><em class="qu">Originally published at </em><a class="af nv" rel="noopener" href="/@ronnyh/effortless-document-extraction-a-guide-to-using-unstructured-api-and-data-connectors-52cf4a9bcc3f"><em class="qu">https://medium.com</em></a><em class="qu"> on July 21, 2023.</em></p></div></div></div></div></section></div></div></article><div class="ab ca"><div class="ch bg fw fx fy fz"></div></div></div><div class="ab ca"><div class="ch bg fw fx fy fz"><div class="qv qw ab jc"><div class="qx ab"><a class="qy ax am ao" rel="noopener follow" 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