Threadpool python3

from concurrent.futures import ThreadPoolExecutor,ALL_COMPLETED,wait,as_completedimport time

def addNum(x,y):    # print("test 测试阻塞{}".format(time.asctime()))    time.sleep(1)    return x+ydef executors():    list1=[i for i in range(1000)]    list2=[j for j in range(1000,2000)]    executor=ThreadPoolExecutor(max_workers=4)    all_task=[executor.submit(addNum,x,y) for x,y in zip(list1,list2)]    # 任务没完成的时候as_completed会阻塞，先完成的会先yield,按谁先完成输出    st=time.perf_counter()

    for f in as_completed(all_task):        res=f.result()        print("这是计算的结果{}--{}".format(res,time.asctime()))    end=time.perf_counter()-st    print(end)def mapExecutor():    """按顺序list的，即使先完成"""    executor=ThreadPoolExecutor(max_workers=4)    list1=[i for i in range(100)]    list2=[j for j in range(100,200)]    for res in executor.map(addNum,list1,list2):        print("this is res {}--{}".format(res,time.asctime()))    print("main finish")def waitExec():    executor=ThreadPoolExecutor(max_workers=4)    list1=[i for i in range(10)]    list2=[j for j in range(10,20)]

    all_task=[executor.submit(addNum,x,y) for x,y in zip(list1,list2)]    #当所有任务完成后才输出结果，不然就阻塞    wait(fs=all_task,timeout=None,return_when=ALL_COMPLETED)    print("主线程finish")if __name__ == '__main__':   mapExecutor()