231 lines
9.9 KiB
Python
231 lines
9.9 KiB
Python
"""
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这是什么？
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这个文件用于函数插件的单元测试
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运行方法 python crazy_functions/crazy_functions_test.py
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"""
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# ==============================================================================================================================
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def validate_path():
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import os, sys
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dir_name = os.path.dirname(__file__)
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root_dir_assume = os.path.abspath(os.path.dirname(__file__) + '/..')
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os.chdir(root_dir_assume)
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sys.path.append(root_dir_assume)
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validate_path() # validate path so you can run from base directory
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# ==============================================================================================================================
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from colorful import *
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from toolbox import get_conf, ChatBotWithCookies
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import contextlib
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import os
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import sys
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from functools import wraps
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proxies, WEB_PORT, LLM_MODEL, CONCURRENT_COUNT, AUTHENTICATION, CHATBOT_HEIGHT, LAYOUT, API_KEY = \
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get_conf('proxies', 'WEB_PORT', 'LLM_MODEL', 'CONCURRENT_COUNT', 'AUTHENTICATION', 'CHATBOT_HEIGHT', 'LAYOUT', 'API_KEY')
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llm_kwargs = {
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'api_key': API_KEY,
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'llm_model': LLM_MODEL,
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'top_p':1.0,
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'max_length': None,
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'temperature':1.0,
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}
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plugin_kwargs = { }
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chatbot = ChatBotWithCookies(llm_kwargs)
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history = []
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system_prompt = "Serve me as a writing and programming assistant."
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web_port = 1024
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# ==============================================================================================================================
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def silence_stdout(func):
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@wraps(func)
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def wrapper(*args, **kwargs):
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_original_stdout = sys.stdout
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sys.stdout = open(os.devnull, 'w')
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for q in func(*args, **kwargs):
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sys.stdout = _original_stdout
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yield q
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sys.stdout = open(os.devnull, 'w')
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sys.stdout.close()
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sys.stdout = _original_stdout
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return wrapper
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class CLI_Printer():
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def __init__(self) -> None:
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self.pre_buf = ""
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def print(self, buf):
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bufp = ""
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for index, chat in enumerate(buf):
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a, b = chat
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bufp += sprint亮靛('[Me]:' + a) + '\n'
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bufp += '[GPT]:' + b
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if index < len(buf)-1:
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bufp += '\n'
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if self.pre_buf!="" and bufp.startswith(self.pre_buf):
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print(bufp[len(self.pre_buf):], end='')
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else:
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print('\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n'+bufp, end='')
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self.pre_buf = bufp
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return
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cli_printer = CLI_Printer()
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# ==============================================================================================================================
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def test_解析一个Python项目():
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from crazy_functions.解析项目源代码 import 解析一个Python项目
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txt = "crazy_functions/test_project/python/dqn"
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for cookies, cb, hist, msg in 解析一个Python项目(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
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print(cb)
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def test_解析一个Cpp项目():
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from crazy_functions.解析项目源代码 import 解析一个C项目
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txt = "crazy_functions/test_project/cpp/cppipc"
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for cookies, cb, hist, msg in 解析一个C项目(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
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print(cb)
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def test_Latex英文润色():
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from crazy_functions.Latex全文润色 import Latex英文润色
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txt = "crazy_functions/test_project/latex/attention"
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for cookies, cb, hist, msg in Latex英文润色(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
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print(cb)
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def test_Markdown中译英():
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from crazy_functions.批量Markdown翻译 import Markdown中译英
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txt = "README.md"
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for cookies, cb, hist, msg in Markdown中译英(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
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print(cb)
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def test_批量翻译PDF文档():
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from crazy_functions.批量翻译PDF文档_多线程 import 批量翻译PDF文档
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txt = "crazy_functions/test_project/pdf_and_word"
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for cookies, cb, hist, msg in 批量翻译PDF文档(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
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print(cb)
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def test_谷歌检索小助手():
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from crazy_functions.谷歌检索小助手 import 谷歌检索小助手
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txt = "https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=auto+reinforcement+learning&btnG="
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for cookies, cb, hist, msg in 谷歌检索小助手(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
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print(cb)
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def test_总结word文档():
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from crazy_functions.总结word文档 import 总结word文档
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txt = "crazy_functions/test_project/pdf_and_word"
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for cookies, cb, hist, msg in 总结word文档(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
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print(cb)
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def test_下载arxiv论文并翻译摘要():
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from crazy_functions.下载arxiv论文翻译摘要 import 下载arxiv论文并翻译摘要
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txt = "1812.10695"
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for cookies, cb, hist, msg in 下载arxiv论文并翻译摘要(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
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print(cb)
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def test_联网回答问题():
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from crazy_functions.联网的ChatGPT import 连接网络回答问题
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# txt = "谁是应急食品？"
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# >> '根据以上搜索结果可以得知，应急食品是“原神”游戏中的角色派蒙的外号。'
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# txt = "道路千万条，安全第一条。后面两句是？"
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# >> '行车不规范，亲人两行泪。'
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# txt = "You should have gone for the head. What does that mean?"
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# >> The phrase "You should have gone for the head" is a quote from the Marvel movies, Avengers: Infinity War and Avengers: Endgame. It was spoken by the character Thanos in Infinity War and by Thor in Endgame.
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txt = "AutoGPT是什么？"
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for cookies, cb, hist, msg in 连接网络回答问题(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
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print("当前问答：", cb[-1][-1].replace("\n"," "))
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for i, it in enumerate(cb): print亮蓝(it[0]); print亮黄(it[1])
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def test_解析ipynb文件():
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from crazy_functions.解析JupyterNotebook import 解析ipynb文件
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txt = "crazy_functions/test_samples"
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for cookies, cb, hist, msg in 解析ipynb文件(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
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print(cb)
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def test_数学动画生成manim():
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from crazy_functions.数学动画生成manim import 动画生成
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txt = "A ball split into 2, and then split into 4, and finally split into 8."
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for cookies, cb, hist, msg in 动画生成(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
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print(cb)
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def test_Markdown多语言():
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from crazy_functions.批量Markdown翻译 import Markdown翻译指定语言
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txt = "README.md"
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history = []
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for lang in ["English", "French", "Japanese", "Korean", "Russian", "Italian", "German", "Portuguese", "Arabic"]:
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plugin_kwargs = {"advanced_arg": lang}
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for cookies, cb, hist, msg in Markdown翻译指定语言(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
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print(cb)
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def test_Langchain知识库():
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from crazy_functions.Langchain知识库 import 知识库问答
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txt = "./"
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chatbot = ChatBotWithCookies(llm_kwargs)
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for cookies, cb, hist, msg in silence_stdout(知识库问答)(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
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cli_printer.print(cb) # print(cb)
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chatbot = ChatBotWithCookies(cookies)
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from crazy_functions.Langchain知识库 import 读取知识库作答
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txt = "What is the installation method？"
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for cookies, cb, hist, msg in silence_stdout(读取知识库作答)(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
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cli_printer.print(cb) # print(cb)
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def test_Langchain知识库读取():
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from crazy_functions.Langchain知识库 import 读取知识库作答
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txt = "远程云服务器部署？"
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for cookies, cb, hist, msg in silence_stdout(读取知识库作答)(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
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cli_printer.print(cb) # print(cb)
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def test_Latex():
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from crazy_functions.Latex输出PDF结果 import Latex英文纠错加PDF对比, Latex翻译中文并重新编译PDF
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# txt = r"https://arxiv.org/abs/1706.03762"
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# txt = r"https://arxiv.org/abs/1902.03185"
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# txt = r"https://arxiv.org/abs/2305.18290"
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# txt = r"https://arxiv.org/abs/2305.17608"
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# txt = r"https://arxiv.org/abs/2211.16068" # ACE
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# txt = r"C:\Users\x\arxiv_cache\2211.16068\workfolder" # ACE
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# txt = r"https://arxiv.org/abs/2002.09253"
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# txt = r"https://arxiv.org/abs/2306.07831"
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# txt = r"https://arxiv.org/abs/2212.10156"
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# txt = r"https://arxiv.org/abs/2211.11559"
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# txt = r"https://arxiv.org/abs/2303.08774"
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txt = r"https://arxiv.org/abs/2303.12712"
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# txt = r"C:\Users\fuqingxu\arxiv_cache\2303.12712\workfolder"
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for cookies, cb, hist, msg in (Latex翻译中文并重新编译PDF)(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
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cli_printer.print(cb) # print(cb)
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# txt = "2302.02948.tar"
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# print(txt)
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# main_tex, work_folder = Latex预处理(txt)
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# print('main tex:', main_tex)
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# res = 编译Latex(main_tex, work_folder)
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# # for cookies, cb, hist, msg in silence_stdout(编译Latex)(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
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# cli_printer.print(cb) # print(cb)
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# test_解析一个Python项目()
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# test_Latex英文润色()
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# test_Markdown中译英()
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# test_批量翻译PDF文档()
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# test_谷歌检索小助手()
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# test_总结word文档()
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# test_下载arxiv论文并翻译摘要()
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# test_解析一个Cpp项目()
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# test_联网回答问题()
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# test_解析ipynb文件()
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# test_数学动画生成manim()
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# test_Langchain知识库()
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# test_Langchain知识库读取()
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if __name__ == "__main__":
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test_Latex()
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input("程序完成，回车退出。")
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print("退出。") |