Can't pickle when using multiprocessing Pool.map()

Question

I\'m trying to use multiprocessing\'s Pool.map() function to divide out work simultaneously. When I use the following code, it works fine:

Answer 1

In this simple case, where someClass.f is not inheriting any data from the class and not attaching anything to the class, a possible solution would be to separate out f, so it can be pickled:

import multiprocessing


def f(x):
    return x*x


class someClass(object):
    def __init__(self):
        pass

    def go(self):
        pool = multiprocessing.Pool(processes=4)       
        print pool.map(f, range(10))