deferror_handler(e):print(f"发生错误:{e}")deffaulty_function(n):ifn==5:raiseValueError("这是个故障")returnn*nif__name__=="__main__":withmultiprocessing.Pool(processes=4)aspool:foriinrange(10):pool.apply_async(faulty_function,(i,),callback=collect_result,error_callback=error_handler...
AI检测代码解析 importmultiprocessingdefcalculate_square(x):returnx*xdefprint_result(result):print(f'Result:{result}')if__name__=='__main__':pool=multiprocessing.Pool(processes=4)foriinrange(10):pool.apply_async(calculate_square,args=(i,),callback=print_result)pool.close()pool.join() 1....
def apply_async(func, args, *, callback): # Compute the result result = func(*args) # Invoke the callback with the result callback(result) def print_result(result): print('Got:', result) def add(x, y): return x + y res = apply_async(add, (2, 3), callback=print_result) ...
Python中的apply_async()是multiprocessing模块中的一个方法,用于异步地调用一个函数或方法。 apply_async()的语法如下: 代码语言:python 代码运行次数:0 复制 apply_async(func,args=(),kwds={},callback=None,error_callback=None) 参数说明: func:要调用的函数或方法。
首先来看apply_async方法,源码如下: def apply_async(self, func, args=(), kwds={}, callback=None):assert self._state ==RUN result =ApplyResult(self._cache, callback) self._taskqueue.put(([(result._job, None, func, args, kwds)], None))return resultfunc表示执行此任务的方法args、kwds分...
apply_async(func[, args[, kwds[, callback]]]) :非阻塞式提交。即使进程池已满,也会接受新的任务,不会阻塞主进程。新任务将处于等待状态。 apply(func[, args[, kwds]]) :阻塞式提交。若进程池已满,则主进程阻塞,直至有空闲进程可以使用。
apply_async(self, func, args=(), kwds={}, callback=None, error_callback=None) 上面的例子中,每次调用都间隔了 1 秒钟,没有实现真正的并发,所以我们需要异步执行所有的调用。 apply_async 就是 apply 的异步版本。 参数与 apply 大体相同,增加了可选的执行完成后自动调用的回调方法参数。
This library includes a complete async API supported on Python 3.5+. To use it, you must first install an async transport, such as aiohttp. See azure-core documentation for more information. Async clients and credentials should be closed when they're no longer needed. These objects are async...
def apply_async(func, args, *, callback): result = func(*args) callback(result) def add(x ,y): return x + y def make_handler(): sequence = 0 def handler(result): nonlocal sequence sequence += 1 print("[{}] Got:{}".format(sequence, result)) return handler handler = make_ha...
This library includes a complete async API supported on Python 3.5+. To use it, you must first install an async transport, such as aiohttp. See azure-core documentation for more information. Async clients and credentials should be closed when they're no longer needed. These objects are async...