python进程池pool的starmap的使用

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#!/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()<br><br>原文看这里：https://stackoverflow.com/questions/5442910/python-multiprocessing-pool-map-for-multiple-arguments

　　

 

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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()