Ready to go parallel process implementation for functions with more than one argument

multiprocessing_multivariable.py

from multiprocessing.pool import Pool
from functools import partial
import time

n_processes = 3

def func(extra, t):
    time.sleep(t + extra)
    print('t', t, 'extra', extra)
    
def func_generic(tupl):
    print('t', tupl[0], 'extra', tupl[1])

# Fixed Extra Variable
times = [1,2,3]
extra = 1

with Pool(n_processes) as p:
    p.map(partial(func, extra), times)
    
# Multiple Extra Variables
times = [1,2,3]
extras = [4,5,6] 

with Pool(n_processes) as p:
    p.map(partial(func_generic), zip(times, extras))

Na real, precisa do partial sim pq o lambda não é um objeto que suporta pickle