python进程池pool的starmap的使用
Posted 一起来学python
tags:
篇首语：本文由小常识网(cha138.com)小编为大家整理，主要介绍了python进程池pool的starmap的使用相关的知识，希望对你有一定的参考价值。
#!/usr/bin/env python3
from functools import partial
from itertools import repeat
from multiprocessing import Pool, freeze_support
def func(a, b):
return a + b
def main():
a_args = [1,2,3]
second_arg = 1
with Pool() as pool:
L = pool.starmap(func, [(1, 1), (2, 1), (3, 1)])
M = pool.starmap(func, zip(a_args, repeat(second_arg)))
N = pool.map(partial(func, b=second_arg), a_args)
assert L == M == N
if __name__=="__main__":
freeze_support()
main()
原文看这里：https://stackoverflow.com/questions/5442910/python-multiprocessing-pool-map-for-multiple-arguments
from functools import partial
from itertools import repeat
from multiprocessing import Pool, freeze_support
def func(a, b, c):
print(c)
return a + b
def main():
a_args = [1, 2, 3]
second_arg = 1
with Pool() as pool:
# L = pool.starmap(func, [(1, 1), (2, 1), (3, 1)])
# M = pool.starmap(func, zip(a_args, repeat(second_arg)))
N = pool.map(partial(func, b=second_arg,c="124"), a_args)
if __name__ == "__main__":
freeze_support()
main()
以上是关于python进程池pool的starmap的使用的主要内容，如果未能解决你的问题，请参考以下文章
Python Pool.Starmap 未在打印时终止或输出