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Source channel @TossLabChannel · Post #883 · 11月13日

#开源工具#视频号下载#微信视频号 wx_channel|视频号内容批量下载工具 由 nobiyou 开发的 wx_channel 是一款基于 Go 语言的微信视频号下载工具,目前已收获 758 + stars。 它通过本地HTTP代理与脚本注入方式,实现自动批量或单条下载视频号内容,支持作者分类保存、自动去重、并可导出 TXT/JSON/Markdown 格式。 项目提供 Windows 预编译版本,也可手动编译源码。 适合需要内容归档与研究视频号数据的技术玩家使用。 ⚠️需注意:项目暂未完善安全文档,使用时请遵守版权规范,仅限个人学习用途。 🔘@TossLab🔘@TossLabChannel

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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