Use of the starmap of the Python process pools pool

#!/usr/bin/env python3from functools Import partialfrom itertools import repeatfrom multiprocessing import Pool, freeze_s  Upportdef func (A, B):    return a + bdef main ():    A_args = []    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 = Nif __name__== "__main__":    freeze_support ()    main ()

The original view here: Https://stackoverflow.com/questions/5442910/python-multiprocessing-pool-map-for-multiple-arguments

　　

From functools import partialfrom itertools import repeatfrom multiprocessing import Pool, Freeze_supportdef func (A, B, c) :    print (c)    return a + bdef main ():    A_args = [1, 2, 3]    Second_arg = 1 with    pool () as Pool:        # L = PO Ol.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 ()

　　

Use of the starmap of the Python process pools pool