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Source channel @TossLabChannel · Post #707 · 6月18日

#小爱音箱#听歌神器#开源工具#音乐解锁 XiaoMusic:无限听歌,解锁小爱音箱的极致可能 想让你家的小爱音箱自由畅听全网歌曲?这款开源项目 XiaoMusic 专为此而生: • 本地部署,配合小爱音箱的“自定义技能”功能 • 一键实现全平台音乐点播(支持网易云、QQ音乐、酷我、咪咕等) • 播放逻辑清晰,智能纠错,无需动手遥控 • 同时支持 Web API 请求,适配 HomeAssistant 等智能家居系统 无需破解账号、无需额外付费,一台树莓派或旧电脑,就能让小爱变成“音乐自由人”。 技术基础要求不高,文档清晰,适合有一定动手能力的折腾党。 🔘@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