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Source channel @TossLabChannel · Post #672 · 5月12日

#LinuxDo#浏览器脚本#论坛增强 LinuxDo Scripts:为 LinuxDo 论坛量身打造的增强脚本合集 由 dlzmoe 开发的 LinuxDo Scripts 是一套专为 LinuxDo 社区打造的浏览器增强脚本,涵盖浏览体验优化、互动增强、内容管理与 AI 智能辅助等多维度功能。 支持话题预览、快捷回复、“只看楼主”、黑夜模式、中英文混排优化等,同时内置 AI 总结与自动回帖等实用能力,并允许自定义皮肤与样式。 适用于提升重度用户的浏览效率与论坛参与体验。 🔘@TossLab🔘@TossLabChannel 🔘折腾系列频道 - 全面介绍 🔘境外离岸银行教程合集目录 🔘折腾实验室优质Github项目合集 🔘大流量卡三大运营商推荐合作店

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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