进程池和线程池 concurrent.futures import ProcessPoolExecutor,ThreadPoolExecutor

标签：BMI   time   submit   turn   result   bsp   app   进程池   nbsp   

import time#线程池可以用shutdown submit

from threading import current_thread

from concurrent.futures import ThreadPoolExecutor,ProcessPoolExecutor

def f1(n):

　　print(n)

　　time.seelp(1)

　　return n*n

if __name__ =="__main__":
　　tp = ThreadPoolExecutor(4)

　　lst = []

　　for   i   in range(10):

　　　　res = tp.submit(f1,i)

　　　　lst.append(res)

　　tp.shutdown()

　　for i in lst:

　　　　print(i.result())

import time#进程池  要用map

from threading import current_thread

from concurrent.futures import ThreadPoolExecutor,ProcessPoolExecutor

def f1(n):

　　print(n)

　　time.seelp(1)

　　return n*n

if __name__ =="__main__":
　　tp = ProcessPoolExecutor(4)

　　res = tp.map(f1,rangr(10))

　　print(res)

进程池和线程池 concurrent.futures import ProcessPoolExecutor,ThreadPoolExecutor

标签：BMI   time   submit   turn   result   bsp   app   进程池   nbsp   

原文地址：https://www.cnblogs.com/16795079a/p/10316321.html