loop = asyncio.get_running_loop() result =awaitloop.run_in_executor(None, block_io)print("default thread pool", result)withconcurrent.futures.ThreadPoolExecutor()aspool: result =awaitloop.run_in_executor(pool, block_io)print("custom thread pool", result)withconcurrent.futures.ProcessPoolExecutor...
deflong_blocking_function(): print(time.time()) time.sleep(2) returnTrue asyncdefrun(): loop=asyncio.get_event_loop() # 新建线程池 pool=ThreadPoolExecutor() # 任务列表 tasks=[loop.run_in_executor(pool, long_blocking_function), loop.run_in_executor(pool, long_blocking_function)] # 等待...
event_loop = asyncio.get_event_loop() # 新建事件循环 tasks = [fetch(num) for num in numbers] # 添加到任务列表 # asyncio.gather() 按顺序搜集异步任务执行的结果 results = event_loop.run_until_complete(asyncio.gather(*tasks)) # 开启事件循环 for num, result in zip(numbers, results): prin...
await loop.run_in_executor(None, task) 或者,可以创建一个执行器并将其传递给 loop.run_in_executor() 函数,该函数将在执行器中执行异步调用。 在这种情况下,调用者必须管理执行器,一旦调用者完成它就将其关闭。 ... # create a process pool with ProcessPoolExecutor as exe: # get the event loop lo...
loop=asyncio.get_event_loop()result=awaitloop.run_in_executor(None,time_consuming_function)print(result)asyncio.run(main())```在上面的示例中，`time_consuming_function`是一个模拟的耗时操作，我们使用`asyncio.run_in_executor`将其提交给默认的执行器（通常是一个线程池），然后等待它的完成并打印结果...
: In : future = loop.run_in_executor(None, c) # 这里没用await,None 表示默认的 executor Inner C In : future # 虽然c已经执行了,但是状态还是 pending。 Out: <Future pending cb=[_chain_future.<locals>._call_check_cancel() at /usr/local/lib/python3.7/asyncio/futures.py:348]> In :...
loop = asyncio.get_event_loop() # 获取事件循环的引用 loop.run_in_executor(None, save_flag, image, cc.lower() + '.gif') status = HTTPStatus.ok msg = 'ok' return Result(status, cc) run_in_executor 方法的第一个参数是Executor 实例;如果设为None,使用事件循环的默认 ThreadPoolExecutor 实...
loop.run_in_executor( None, myfun, i) for i in range(10) ) for result in await asyncio.gather(*futures): pass loop = asyncio.get_event_loop() loop.run_until_complete(main()) 复制代码 1. 2. 3. 4. 5. 6. 7. 8. 9.
创建Future和Task的API包括loop.create_future和loop.create_task，以及设置任务工厂的loop.set_task_factory。事件循环的时钟函数loop.time()用于获取当前时间点。在Python云环境中，异步编程可以通过async函数和Executor来实现。例如，run_in_executor()使用Executor在异步任务中执行代码，ThreadPoolExecutor和...
等待执行task2=loop.run_in_executor(None,computer)# 将普通函数read_file添加到事件循环中,等待执行task3=loop.run_in_executor(None,computer2)# 将普通函数read_file2添加到事件循环中,等待执行await task3await task2await taskloop=asyncio.get_event_loop() # 创建一个事件循环loop.run_until_complete(...