🚨 GitHub 监控消息提醒 🚨发现关键词：#漏洞#验证#检测#分析 📦项目名称：LLM-MultiAgent-StackOverflow-Detector 👤项目作者：uguj 🛠开发语言： Python ⭐Star数量： 0 | 🍴Fork数量： 0 📅更新时间： 2026-05-18 10:51:12 📝项目描述： 基于ReAct范式的多智能体栈缓冲区溢出检测框架，用于C/C++代码漏洞分析。 - Finder Agent：基于libclang的AST解析，识别危险函数调用 - Tracer Agent：语法树回溯，分析参数可控性 - Hypothesis Agent：调用Qwen2.5-Coder大语言模型生成智能漏洞假设 - Verifier Agent：通过angr符号执行与objdump静态匹配进行二进制验证 框架形成“发现→追踪→假设→验证→反馈”的闭环检测流程。 本仓库包含毕业设计《基于大语言模型的栈溢出漏洞检测研究》的全部源代码、测试用例及实验结果。 🔗点击访问项目地址
搜索 #asynchronously
@djangoproject · Post #585 · 2018/03/23 02:43
https://www.fullstackpython.com/celery.html #Celery is a task #queue implementation for Python web applications used to #asynchronously execute work outside the HTTP request-response cycle.
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@djangoproject · Post #262 · 2017/02/16 07:24
http://masnun.com/2015/11/20/python-asyncio-future-task-and-the-event-loop.html On any platform, when we want to do something #asynchronously, it usually involves an #event loop. An event loop is a loop that can register #tasks to be executed, execute them, delay or even cancel them and handle different events related to these operations. Generally, we #schedule multiple async functions to the event loop. The loop runs one function, while that function waits for #IO, it pauses it and runs another. When the first function completes IO, it is resumed. Thus two or more functions can #co_operatively run together. This the main goal of an event loop.