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Source channel @githubredteam · Post #84404 · 5月16日

🚨 GitHub 监控消息提醒 🚨发现关键词:#漏洞#检测#分析 📦项目名称:Open-Audit 👤项目作者:elegent-administrator 🛠开发语言: Python ⭐Star数量: 0 | 🍴Fork数量: 0 📅更新时间: 2026-05-16 03:56:40 📝项目描述: Open Audit是面向企业研发、开发者群体的AI智能明文代码安全审计工具,基于Python语言开发、FastCGI架构搭建,融合Semgrep工具链与自主研发的AI Agent,精准匹配数字时代代码安全审计的市场核心需求。工具直击行业传统审计工具误报率高、扩展能力弱、无法检测逻辑漏洞三大痛点,通过AI Agent深度分析漏洞代码上下文实现误报过滤,开放标准化接口支持企业自定义扩展漏洞检测方向,依托Agent的逻辑推理能力突破常规工具技术瓶颈,实现逻辑漏洞精准审计,同时完成跨平台适配,为中小微企业、互联网研发团队、个人开发者提供高效、可定制、高精准的代码安全审计解决方案,全方位筑牢代码研发安全防线。 🔗点击访问项目地址

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djangoproject

@djangoproject · Post #95 · 2016/07/11 12:14

https://docs.python.org/3/library/asyncio-dev.html#asyncio-multithreading 18.5.9.3. #Concurrency and #multithreading An event loop runs in a thread and executes all callbacks and tasks in the same thread. While a task is running in the event loop, no other task is running in the same thread. But when the task uses yield from, the task is suspended and the event loop executes the next task. To schedule a callback from a different thread, the BaseEventLoop.call_soon_threadsafe() method should be used. Example: loop.call_soon_threadsafe(callback, *args) Most asyncio objects are not thread safe. You should only worry if you access objects outside the event loop. For example, to cancel a future, don’t call directly its Future.cancel() method, but: loop.call_soon_threadsafe(fut.cancel) To handle signals and to execute subprocesses, the event loop must be run in the main thread. To schedule a coroutine object from a different thread, the run_coroutine_threadsafe() function should be used. It returns a concurrent.futures.Future to access the result: future = asyncio.run_coroutine_threadsafe(coro_func(), loop) result = future.result(timeout) # Wait for the result with a timeout The BaseEventLoop.run_in_executor() method can be used with a thread pool executor to execute a callback in different thread to not block the thread of the event loop. See also The Synchronization primitives section describes ways to synchronize tasks. The Subprocess and threads section lists asyncio limitations to run subprocesses from different threads.

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@githubtrending · Post #14740 · 2025/05/23 12:30

#python#async#asyncio#cross_platform#downloader#gui#multithreading#pyqt#pyside6#python#qt#software#streaming Ghost Downloader 3 is a fast, AI-powered download manager that works on Windows, Linux, and macOS. It speeds up downloads by splitting files into many parts and using multiple threads, dynamically adjusting to use your full bandwidth. It supports resuming downloads, proxy settings, SSL security, and clipboard monitoring for easy link capture. The interface is modern and user-friendly. This tool helps you download files more quickly and efficiently, with options to control speed and use proxies, making it ideal if you want faster, smarter, and more reliable downloads on your computer[1]. https://github.com/XiaoYouChR/Ghost-Downloader-3