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Source channel @pushgoodcloud · Post #607 · 11月30日

#Lantau#大屿山 之前购买过的,可以联系 @ljfxz 退款,直接发机场邮箱给他 剩余价值退款按照( 剩余时长*时长单价)+(剩余流量*流量单价)的形式退款 流量单价=套餐价格*0.8/套餐流量总数 时长单价=套餐价格*0.2/套餐时长总数 例如轻量套餐价格为9元,流量为80G,时长为30天。那天数单价为(0.2*9)/30,流量单价为(0.8*9)/80。 此时轻量用户还剩10天,流量还有70G,那退款为10*[(0.2*9)/30] + 70*[(0.8*9)/80] 注* 充了流量的钱也可退

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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