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Source channel @lambdaexpression · Post #206 · 4月20日

前段时间一直被MajdataPlay的外键输入问题困扰:有玩家反映majplay会无征兆地出现拖判和吃音,但是内屏一切正常 因为我是第一次接触游戏开发,IO这方面也完全没经验 一开始我和bb本怀疑是线程调度的问题,即:IO线程时间片被其他线程挤占了,导致IO线程无法及时处理HID设备回报。为了验证这个猜想,我们尝试提高了IO线程的优先级,照旧 接下来我怀疑是我那套框架有问题:majplay是根据上一帧与这一帧的按键状态判断按键是不是"click"。为此我重写了这部分的实现,改进了IO线程与主线程之间的交互,问题照旧....... 到这里我已经怀疑这不是majplay的锅:IO线程没有任何异常,IO线程与主线程的交互没有问题,Note判定逻辑也没有问题,那就是设备确实没有回报给majplay或者设备发过来的回报中按键确实没有按下,但是大佬说hdd没有这种问题.....(人已经快崩溃了,这完全看不透也摸不着,因为我用单片机模拟玩家打高速纵连是完全没有问题的,我在家里用手台测试也没有问题) 到最后,bb本灵光一闪,说有没有可能是led刷新率过高,把按键控制板干爆炸了?我们让大佬把led刷新间隔从16ms改成100ms,吃音问题瞬间没有了,无语了 。。。。。。。。。。。。。。。。。。。。 adx是一个控制板同时管理按键和led,为什么我没有遇到吃音问题呢,因为我的手台不是adx的... #dev

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Amazing Geography 🌍

@amazingeo · Post #647 · 2026/02/25 20:31

🌍 Submarine hydrothermal vents on the ocean floor release superheated water and minerals, fueling unique ecosystems powered by chemical energy instead of sunlight. ✨ #processes⚡#ocean⚡#ecosystems⚡#geography⚡#nature⚡#earth 👉subscribe Amazing Geography 👉more Channels ​

Amazing Geography 🌍

@amazingeo · Post #39 · 2025/08/13 00:12

🌍 Earth's crust is in constant motion due to convection currents—slow, swirling movement of hot rock deep below the surface. This drives plate movement, causing earthquakes and forming new land. ✨ #processes⚡#plate⚡#tectonics⚡#geology⚡#geography⚡#nature⚡#earth 👉subscribe Amazing Geography🌍

djangoproject

@djangoproject · Post #430 · 2017/09/02 03:23

https://docs.python.org/3/library/subprocess.html The #subprocess module allows you to spawn new #processes, connect to their input/output/error pipes, and obtain their return codes. This module intends to replace several older #modules and #functions. #python

djangoproject

@djangoproject · Post #290 · 2017/04/04 21:36

https://pymotw.com/3/asyncio/executors.html Combining Coroutines with Threads and Processes A lot of existing libraries are not ready to be used with #asyncio natively. They may block, or depend on concurrency features not available through the module. It is still possible to use those libraries in an application based on asyncio by using an #executor from #concurrent.futures to run the code either in a separate thread or a separate process. #Threads The #run_in_executor() method of the event loop takes an executor instance, a regular callable to invoke, and any arguments to be passed to the callable. It returns a Future that can be used to wait for the function to finish its work and return something. If no executor is passed in, a #ThreadPoolExecutor is created. This example explicitly creates an executor to limit the number of worker threads it will have available. #Processes A ProcessPoolExecutor works in much the same way, creating a set of worker #processes instead of threads. Using separate processes requires more system resources, but for computationally-intensive operations it can make sense to run a separate task on each CPU core. #learn