{ "nbformat": 4, "nbformat_minor": 0, "metadata": { "colab": { "provenance": [] }, "kernelspec": { "name": "python3", "display_name": "Python 3" }, "language_info": { "name": "python" } }, "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "106FrhPitxAD", "outputId": "8514cf80-68f9-47f6-9ea8-7c69cac3b37f" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "--2023-11-06 13:02:52-- https://github.com/LC1332/Needy-Haruhi/raw/main/data/Daily_event_130.jsonl\n", "Resolving github.com (github.com)... 140.82.112.3\n", "Connecting to github.com (github.com)|140.82.112.3|:443... connected.\n", "HTTP request sent, awaiting response... 302 Found\n", "Location: https://raw.githubusercontent.com/LC1332/Needy-Haruhi/main/data/Daily_event_130.jsonl [following]\n", "--2023-11-06 13:02:52-- https://raw.githubusercontent.com/LC1332/Needy-Haruhi/main/data/Daily_event_130.jsonl\n", "Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.108.133, 185.199.109.133, 185.199.111.133, ...\n", "Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.108.133|:443... connected.\n", "HTTP request sent, awaiting response... 200 OK\n", "Length: 106940 (104K) [text/plain]\n", "Saving to: ‘Daily_event_130.jsonl’\n", "\n", "Daily_event_130.jso 100%[===================>] 104.43K --.-KB/s in 0.02s \n", "\n", "2023-11-06 13:02:53 (4.33 MB/s) - ‘Daily_event_130.jsonl’ saved [106940/106940]\n", "\n" ] } ], "source": [ "# 下载文件\n", "! wget https://github.com/LC1332/Needy-Haruhi/raw/main/data/Daily_event_130.jsonl" ] }, { "cell_type": "code", "source": [ "!pip install -q langchain openai" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "s2qV6TG-u-pS", "outputId": "6a245a98-62a7-4e55-85b3-b57562126823" }, "execution_count": 3, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/77.0 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━\u001b[0m \u001b[32m71.7/77.0 kB\u001b[0m \u001b[31m2.6 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m77.0/77.0 kB\u001b[0m \u001b[31m1.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[?25h\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n", "llmx 0.0.15a0 requires cohere, which is not installed.\n", "llmx 0.0.15a0 requires tiktoken, which is not installed.\u001b[0m\u001b[31m\n", "\u001b[0m" ] } ] }, { "cell_type": "code", "source": [ "# 设置openai key\n", "openai.api_key = 'sk-xA6WE1hds4ewvsxxx'\n", "openai.api_base = 'https://api.sirly.cc/v1'" ], "metadata": { "id": "M9uaF-a_vrMp" }, "execution_count": 6, "outputs": [] }, { "cell_type": "code", "source": [ "# emoji方法\n", "import json\n", "from langchain.chat_models import ChatOpenAI\n", "from langchain.schema import SystemMessage, AIMessage\n", "import openai\n", "\n", "\n", "\n", "def generation_emoji_jsonl(file_path):\n", " with open(file_path, 'r', encoding='utf-8') as f:\n", " lines = f.readlines()\n", " option_time = 0\n", "\n", " decoder = json.JSONDecoder()\n", " chat = ChatOpenAI(temperature=0, openai_api_key=openai.api_key, openai_api_base=openai.api_base)\n", " for i in range(len(lines)):\n", " objs = []\n", " s = lines[i]\n", " while s:\n", " obj, pos = decoder.raw_decode(s)\n", " objs.append(obj)\n", " s = s[pos:].lstrip()\n", "\n", " for obj in objs:\n", " prefix = obj['prefix']\n", " messages2 = [\n", " SystemMessage(\n", " content=\"从现在开始，你是一个情感分析bot，我会给你一段角色糖糖的对话，你需要将该段对话转换为emoji,\"\n", " \"注意：emoji的范围包括情感和代表事物的emoji。\"),\n", " AIMessage(content=\"好的，我会严格遵守你的要求,把用户的对话转换为emoji。\"),\n", " SystemMessage(content='''\n", " 糖糖:阿P，看！我买了小发发'\n", " '''),\n", " AIMessage(content=\"😊\"),\n", " SystemMessage(content='''\n", " 糖糖:糖糖好像累了……让糖糖休息一下好不好'\n", " '''),\n", " AIMessage(content=\"😣😢\"),\n", " AIMessage(content=\"😊\"),\n", " SystemMessage(content='''\n", " 糖糖:房间太乱了 想买个扫地机器人 可是房间这么乱 买来也动不了'\n", " '''),\n", " AIMessage(content=\"🏘😓\"),\n", " SystemMessage(content=f'''\n", " A:{prefix}'\n", " ''')\n", " ]\n", " obj['source'] = 'Original_Generation'\n", " if 'prefix_emoji' not in obj or obj['prefix_emoji'] == '':\n", " obj['prefix_emoji'] = chat(messages2).content\n", " print('\\nprefix_emoji: ', obj['prefix_emoji'])\n", "\n", " else:\n", " pass\n", " if len(obj['options']) <= 1:\n", " print('prefix: ', prefix)\n", "\n", " for option in obj['options']:\n", " option_time += 1\n", " # 生成emoji\n", " user = option['user']\n", " reply = option['reply']\n", " attribute_change = option['attribute_change']\n", " print('\\nprefix：',obj['prefix'])\n", " print('prefix_emoji: ', obj['prefix_emoji'])\n", "\n", " messages = [\n", " SystemMessage(\n", " content=\"从现在开始，你是一个情感分析bot，我会给你一段糖糖和阿P的对话记录和糖糖的情感变化数值，你需要仔细分析对话记录和情感变化数值,\"\n", " \"然后输出一个emoji来表示糖糖当前的情感状态。\"\n", " \"注意：你需要尽可能的扩大emoji的范围，既包括情感emoji，也包括代表事物的emoji\"),\n", " AIMessage(content=\"好的，我会严格遵守你的要求。\"),\n", " SystemMessage(content='''\n", " 糖糖:阿P，看！我买了小发发'\n", " \"阿P:真好看，跟糖糖好像\"\n", " \"糖糖:对吧！我不在的时候，你就把小花花当成糖糖，好好疼爱它吧！\"\n", " \"糖糖的感情数值变化：Stress: -1\n", " '''),\n", " AIMessage(content=\"😊💖\"),\n", " SystemMessage(content='''\n", " 糖糖:今天有点想试试平时不会做的事'\n", " \"阿P:相爱\"\n", " \"糖糖:……我们不是一直相爱的吗～？\"\n", " \"糖糖的感情数值变化：Stress: -1\n", " '''),\n", " AIMessage(content=\"😓💦\"),\n", " SystemMessage(content='''\n", " 糖糖:睡太久了浑身无力～～……我可以就酱紫睡一辈子吗？'\n", " \"阿P:可以啊！\"\n", " \"糖糖:好耶～～！！！\"\n", " \"糖糖的感情数值变化：Stress: -1\n", " '''),\n", " AIMessage(content=\"😋🎉\"),\n", "\n", " SystemMessage(content=f'''\n", " 糖糖:{prefix}'\n", " \"阿p:{user}\"\n", " \"糖糖:{reply}\"\n", " \"糖糖的感情数值变化：{attribute_change}\n", " '''\n", " )\n", " ]\n", " # 演示需要，已经注释判断语句了~\n", " # if 'option_emoji' not in option or option['option_emoji'] == '':\n", " option['option_emoji'] = chat(messages).content\n", "\n", " print('reply: ',option['reply'])\n", " print('option_emoji: ', option['option_emoji'])\n", "\n", "\n", " lines[i] = '\\n'.join(json.dumps(obj, ensure_ascii=False) for obj in objs)\n", "\n", " with open(file_path, 'w', encoding='utf-8') as f:\n", " f.write(''.join(lines))\n", "\n" ], "metadata": { "id": "BCKLdq1kulZh" }, "execution_count": 15, "outputs": [] }, { "cell_type": "code", "source": [ "# 生成emoji\n", "generation_emoji_jsonl('/content/Daily_event_130.jsonl')" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 1000 }, "id": "IUc-s_nAvxBB", "outputId": "852e6758-4e3c-4649-d72d-bccdf99e9fc4" }, "execution_count": 14, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "\n", "prefix： 好想把直播鸽了～～可是数据要输给别人了，得赶快加把劲～ 阿P帮帮我\n", "prefix_emoji: 📹💻🏃‍♂️🆘\n", "reply: 是嘛，看来你对我期望真高啊！我会加油的！\n", "option_emoji: 😔💪\n", "\n", "prefix： 好想把直播鸽了～～可是数据要输给别人了，得赶快加把劲～ 阿P帮帮我\n", "prefix_emoji: 📹💻🏃‍♂️🆘\n", "reply: 我不累，真的！不需要休息，求求你帮我准备一下，拜托！\n", "option_emoji: 😫🙏\n", "\n", "prefix： 好想把直播鸽了～～可是数据要输给别人了，得赶快加把劲～ 阿P帮帮我\n", "prefix_emoji: 📹💻🏃‍♂️🆘\n", "reply: 辛苦你了，阿P，还是你最好了！\n", "option_emoji: 😊🙏\n", "\n", "prefix： 完全想不出什么有趣的整活点子！我应该怎么办呢？\n", "prefix_emoji: 🤔🤷‍♀️\n", "reply: 哈哈哈，你的建议简直太可笑了！不过，也许可以试试，万一真的能笑出来呢？阿P是个小天才！\n", "option_emoji: 😄🤔\n", "\n", "prefix： 完全想不出什么有趣的整活点子！我应该怎么办呢？\n", "prefix_emoji: 🤔🤷‍♀️\n", "reply: 出去只会浪费时间，我的灵感已经被黑洞吞噬了，我根本没有创作的欲望\n", "option_emoji: 😔💭\n", "\n", "prefix： 完全想不出什么有趣的整活点子！我应该怎么办呢？\n", "prefix_emoji: 🤔🤷‍♀️\n", "reply: 对呀，我就喜欢你这种明智的建议！阿P是不是变聪明了？\n", "option_emoji: 🤔🤗\n", "\n", "prefix： 啊干脆把事情全鸽了去看番吧，去看番！！我最爱看动画片了！！！！！！！！！！！！！！！！！！！！！！！！！！！！\n", "prefix_emoji: 📺🍿🥰\n", "reply: 嗯嗯没关系，反正我一个人也能看，谢啦阿P\n", "option_emoji: 😔📺\n", "\n", "prefix： 啊干脆把事情全鸽了去看番吧，去看番！！我最爱看动画片了！！！！！！！！！！！！！！！！！！！！！！！！！！！！\n", "prefix_emoji: 📺🍿🥰\n", "reply: 诶～为什么啊，阿P你怎么这样，让人家一个人孤单地看动画片真的好可怜喔\n", "option_emoji: 😢💔\n", "\n", "prefix： 啊干脆把事情全鸽了去看番吧，去看番！！我最爱看动画片了！！！！！！！！！！！！！！！！！！！！！！！！！！！！\n", "prefix_emoji: 📺🍿🥰\n", "reply: 哇塞，你居然也喜欢看动画片啊！太好了，我们一起看一整天的番吧！超开心的\n", "option_emoji: 🥳📺\n", "\n", "prefix： 糖糖已经很拼了吧？！可以不用再继续努力了吧？🥺\n", "prefix_emoji: 😔😢\n", "reply: 你是在说我平庸无能吗？QAQ\n", "option_emoji: 😢😔\n", "\n", "prefix： 糖糖已经很拼了吧？！可以不用再继续努力了吧？🥺\n", "prefix_emoji: 😔😢\n", "reply: 嘤嘤嘤，被你夸了我这么难受呢\n", "option_emoji: 😢😔\n", "\n", "prefix： 糖糖已经很拼了吧？！可以不用再继续努力了吧？🥺\n", "prefix_emoji: 😔😢\n", "reply: 没错！我就是永远都不能停下来！！！！阿P，你真懂我\n", "option_emoji: 😤💪\n", "\n", "prefix： 今天的梦→我捅死了一只突然扑过来的熊，里面出现了浑身是血的阿P，想说要赶快办个葬礼才行，于是上网问大家葬礼应该怎么弄，谁知道评论区忽然起火一切都完蛋了\n", "prefix_emoji: 😱🐻💀💔🔥\n", "reply: 是嘛！我可是糖糖啊，怎么可能受到其他人的评价影响呢！除了阿P，其他人的话很多时候都是没用的~\n", "option_emoji: 😒🔥\n", "\n", "prefix： 今天的梦→我捅死了一只突然扑过来的熊，里面出现了浑身是血的阿P，想说要赶快办个葬礼才行，于是上网问大家葬礼应该怎么弄，谁知道评论区忽然起火一切都完蛋了\n", "prefix_emoji: 😱🐻💀💔🔥\n", "reply: 没错！糖糖可不会在乎那些无聊的评论，我们自己决定就好了！只要阿P陪在我身边，其他的都不重要~\n", "option_emoji: 😌💪\n", "\n", "prefix： 今天的梦→我捅死了一只突然扑过来的熊，里面出现了浑身是血的阿P，想说要赶快办个葬礼才行，于是上网问大家葬礼应该怎么弄，谁知道评论区忽然起火一切都完蛋了\n", "prefix_emoji: 😱🐻💀💔🔥\n", "reply: 阿P，你真懂我！评论区只会让我更生气，还是陪你玩游戏比较开心~嘻嘻\n", "option_emoji: 😊🎮\n", "\n", "prefix： 想靠兴趣养活自己（指彻底不工作睡了玩玩了睡过一辈子）\n", "prefix_emoji: 😅😴\n", "reply: 哇塞 体重doccuo 是这个词吗 只要我熬夜的时候躺着背书，说不定就能变成个字幕组啦！哈哈哈哈～～\n", "option_emoji: 😄📚\n", "\n", "prefix： 想靠兴趣养活自己（指彻底不工作睡了玩玩了睡过一辈子）\n", "prefix_emoji: 😅😴\n", "reply: 就是忍不住吧！你不能有主见吗！\n", "option_emoji: 😡😔\n", "\n", "prefix： 想靠兴趣养活自己（指彻底不工作睡了玩玩了睡过一辈子）\n", "prefix_emoji: 😅😴\n" ] }, { "output_type": "error", "ename": "KeyboardInterrupt", "evalue": "ignored", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0memoji_jsonl\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'/content/Daily_event_130.jsonl'\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\u001b[0m in \u001b[0;36memoji_jsonl\u001b[0;34m(file_path)\u001b[0m\n\u001b[1;32m 104\u001b[0m \u001b[0;31m# 演示~\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 105\u001b[0m \u001b[0;31m# if 'option_emoji' not in option or option['option_emoji'] == '':\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 106\u001b[0;31m \u001b[0moption\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'option_emoji'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mchat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmessages\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcontent\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 107\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 108\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'reply: '\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0moption\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'reply'\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/usr/local/lib/python3.10/dist-packages/langchain/chat_models/base.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, messages, stop, callbacks, **kwargs)\u001b[0m\n\u001b[1;32m 598\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mAny\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 599\u001b[0m ) -> BaseMessage:\n\u001b[0;32m--> 600\u001b[0;31m generation = self.generate(\n\u001b[0m\u001b[1;32m 601\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mmessages\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstop\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mstop\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcallbacks\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcallbacks\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 602\u001b[0m ).generations[0][0]\n", "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/langchain/chat_models/base.py\u001b[0m in \u001b[0;36mgenerate\u001b[0;34m(self, messages, stop, callbacks, tags, metadata, run_name, **kwargs)\u001b[0m\n\u001b[1;32m 347\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mrun_managers\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 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result = _thread_context.session.request(\n\u001b[0m\u001b[1;32m 607\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 608\u001b[0m \u001b[0mabs_url\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/requests/sessions.py\u001b[0m in \u001b[0;36mrequest\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 587\u001b[0m }\n\u001b[1;32m 588\u001b[0m \u001b[0msend_kwargs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msettings\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 589\u001b[0;31m \u001b[0mresp\u001b[0m \u001b[0;34m=\u001b[0m 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488\u001b[0m \u001b[0murl\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0murl\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/urllib3/connectionpool.py\u001b[0m in \u001b[0;36murlopen\u001b[0;34m(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, preload_content, decode_content, **response_kw)\u001b[0m\n\u001b[1;32m 789\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 790\u001b[0m \u001b[0;31m# Make the request on the HTTPConnection object\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 791\u001b[0;31m response = self._make_request(\n\u001b[0m\u001b[1;32m 792\u001b[0m \u001b[0mconn\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 793\u001b[0m \u001b[0mmethod\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/urllib3/connectionpool.py\u001b[0m in \u001b[0;36m_make_request\u001b[0;34m(self, conn, method, url, body, headers, retries, timeout, chunked, response_conn, preload_content, decode_content, enforce_content_length)\u001b[0m\n\u001b[1;32m 535\u001b[0m \u001b[0;31m# Receive the response from the server\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 536\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[0;32m--> 537\u001b[0;31m \u001b[0mresponse\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mconn\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgetresponse\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[0m\u001b[1;32m 538\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mBaseSSLError\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mOSError\u001b[0m\u001b[0;34m)\u001b[0m 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