tasks = [asyncio.create_task(delay(seconds))forsecondsin(1,5,6)]forfinished_taskinasyncio.as_completed(tasks, timeout=3):try:print(awaitfinished_task)exceptasyncio.TimeoutError:print("超时啦")# tasks[1] 还需要 2 秒运行完毕,tasks[2] 还需要 3 秒运行完毕print(tasks[1].done(), tasks[2...
forfinishedinasyncio.as_completed(tasks, timeout=3): try: print(awaitfinished) exceptasyncio.TimeoutError: print("超时啦") # tasks[1] 还需要 2 秒运行完毕,tasks[2] 还需要 3 秒运行完毕 print(tasks[1].done, tasks[2].done) awaitasyncio.sleep(2) # 此时只剩下 tasks[2],还需要 1 秒运...
然而,我对 as_completed 方法有一些疑问:它的内部工作原理以及它如何影响我的 CPU 使用率。因此,让有以下片段:#as_completed_example.pyimport asyncioimport tqdmimport datetimeimport sysimport signalimport random#---async def heavy_load(i): #tqdm.tqdm.write('#DEBUG '+datetime.datetime.now().strftime(...
所有IO任务总耗时3.00300秒 【解释】:从上面的程序可以看出,使用as_completed(tasks)和wait(tasks)相同之处是返回结果的顺序是协程的完成顺序,这与gather()恰好相反。而不同之处是as_completed(tasks)可以实时返回当前完成的结果,而wait(tasks)需要等待所有协程结束后返回的done去获得结果。 四、总结 以下aws指:await...
forfinishedinasyncio.as_completed(tasks, timeout=3): try: print(awaitfinished) exceptasyncio.TimeoutError: print("超时啦") # tasks[1] 还需要 2 秒运行完毕,tasks[2] 还需要 3 秒运行完毕 print(tasks[1].done(), tasks[2].done())
【解释】:从上面的程序可以看出,使用as_completed(tasks)和wait(tasks)相同之处是返回结果的顺序是协程的完成顺序,这与gather()恰好相反。而不同之处是as_completed(tasks)可以实时返回当前完成的结果,而wait(tasks)需要等待所有协程结束后返回的done去获得结果。
for task in asyncio.as_completed(tasks): result = await task print('Task ret: {}'.format(result)) start = now() loop = asyncio.get_event_loop() done = loop.run_until_complete(main()) print('TIME: ', now() - start) 由此可见,协程的调用和组合十分灵活,尤其是对于结果的处理,如何返回...
asyncio.as_completed(aws, *, timeout=None) 以下是 as_completed 工作原理的示例: import asyncio async def my_task(id): return f’I am number {id}’ async def main(): tasks = [my_task(id) for id in range(5)] for coro in asyncio.as_completed(tasks): ...
as_completed(tasks): res = await f print(f"End at: {time.strftime('%X')}") asyncio.run(main()) 执行结果如下: Start at: 17:19:11 delay for 0 seconds. delay for 1 seconds. delay for 2 seconds. delay for 3 seconds. delay for 4 seconds. delay for 5 seconds. delay for 6 ...
for task in asyncio.as_completed(tasks): result = await task print('Task ret: {}'.format(result)) now = lambda : time.time() start = now() loop = asyncio.get_event_loop() done = loop.run_until_complete(main()) print(now() - start) ...