LikePool.apply,Pool.mapblocks until the complete result is returned. In Python 3, a new functionstarmapcan accept multiple arguments. AI检测代码解析 Multi-args Concurrence Blocking Ordered-results map no yes yes yes apply yes no yes no map_async no yes no yes apply_async yes yes no no 1...
In Python 3, a new functionstarmapcan accept multiple arguments. Note thatmapandmap_asyncare called for a list of jobs in one time, butapplyandapply_asynccan only called for one job. However,apply_asyncexecute a job in background therefore in parallel. See examples: #mapresults = pool.ma...
2.3 apply_async,apply,map,map_async的区别 Notice also that you could call a number of different functions withPool.apply_async(not all calls need to use the same function). In contrast,Pool.mapapplies the same function to many arguments. However, unlikePool.apply_async, the results are retu...
=8: time.sleep(old_v) print("Process %s\t ... Done"% (inpt.name))defmp_worker(inpt):pot_val(inpt)returninptdefmp_handler(data_list):p = multiprocessing.Pool(4)withopen('results.csv','a')asf: res = p.map_async(mp_worker, data_list) results = (res.get())forresultinresults:...
Pool.apply_async() 和Pool.map_async() 返回对象所属的类。 get([timeout]) 用于获取执行结果。如果 timeout 不是None 并且在 timeout 秒内仍然没有执行完得到结果,则抛出 multiprocessing.TimeoutError 异常。如果远程调用发生异常,这个异常会通过 get() 重新抛出。 wait([timeout]) 阻塞,直到返回结果,或者...
pool.map() pool.imap()Equivalent ofmap()– can be MUCH slower thanPool.map(). pool.starmap()Likemap()method but the elements of theiterableare expected to be iterables as well and will be unpacked as arguments. pool.starmap_asyncAsynchronous version ofstarmap()method ...
3 worker processes. The 'map()' method distributes the list of numbers among the worker processes, applying the 'square()' function to each number concurrently. The results are collected and returned in the same order as the input, demonstrating efficient parallel processing with multiple tasks....
map()方法的变体, 异步的方式执行,返回一个结果对象; callback和error_callback的使用同apply_async()相同; (6)imap(func, iterable[, chunksize]) 1)A lazier version of map(). The chunksize argument is the same as the one used by the map() method. For very long iterables using a large val...
This library allows to execute multiple tasks in parallel using multiple processor cores, and multiple threads to maximise performance when the function is blocking (e.g. it's delayed by time.sleep()). It provides fast_map function and the non-blocking fast_map_async equivalent (having the sa...
总结:apply会阻塞主程序直到任务完成,而apply_async允许主程序在等待结果时继续执行其他任务。apply一般不常用了。 示例18:进程池中的map函数 from multiprocessing import Pool def square(x): """计算一个数的平方""" return x * x if __name__ == '__main__': ...