python - Make the function within pool.map to act on one specific argument of its multiple arguments -

in following code, want multprocess sum_ 3 different values of z included in np.array([1,2,3]):

from multiprocessing import pool functools import partial import numpy np  def sum_(x, y, z):     return x**1+y**2+z**3  sum_partial = partial(sum_, x = 1, y = 2)  # freeze x , y = np.array([1,2,3])  # 3 different values z  p = pool(4) p.map(sum_partial, a) 

p.map(sum_partial, a) gives following error: typeerror: sum_() got multiple values keyword argument 'x', because python reassign a kwarg x of function. how can make each variable of np.array([1,2,3]) fill argumentz of sum_ instead of x can following result:

[6, 13, 32] 

which respectively:

sum_partial(z=1), sum_partial(z=2), sum_partial(z=3) 

? keep using pool.map.

btw possible use multiprocessing both array of y , array of z list of len(y)*len(z) values?

i find answer here

in case it'll be:

import multiprocessing mp  def sum_(x, y, z):     return x**1+y**2+z**3  def mf_wrap(args):     return sum_(*args)  p = mp.pool(4)  = [1,2,3] b = [0.1,0.2,0.3] fl = [(1, i, j) in j in b] #mf_wrap = lambda args: myfun(*args) -> sucker, though more pythonic , compact, won't work  p.map(mf_wrap, fl)