Python之多进程

1.Pool的用法

#!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
@author: Shiyu Huang
@contact: huangsy13@gmail.com
@file: asy_test.py
'''


import numpy as np
import multiprocessing
from multiprocessing import Process, Pool
import time

def test_func(x):
    x = x+1
    print x
    time.sleep(3)
    print 'end'
    return x

if __name__ == '__main__':
    test_size = 20
    number = np.zeros(test_size).tolist()
    for i in range(len(number)):
        number[i] = i

    pool = Pool(processes=multiprocessing.cpu_count())

    # for i in range(test_size):
    #     pool.apply_async(test_func, (number[i]))
    resultList = pool.map(test_func,number)
    pool.close()
    pool.join()

    print resultList