How to use multiprocessing pool.map with multiple arguments?

Question

In the Python multiprocessing library, is there a variant of pool.map which supports multiple arguments?

text = "test"
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Answer 1

Another simple alternative is to wrap your function parameters in a tuple and then wrap the parameters that should be passed in tuples as well. This is perhaps not ideal when dealing with large pieces of data. I believe it would make copies for each tuple.

from multiprocessing import Pool

def f((a,b,c,d)):
    print a,b,c,d
    return a + b + c +d

if __name__ == '__main__':
    p = Pool(10)
    data = [(i+0,i+1,i+2,i+3) for i in xrange(10)]
    print(p.map(f, data))
    p.close()
    p.join()

Gives the output in some random order:

0 1 2 3
1 2 3 4
2 3 4 5
3 4 5 6
4 5 6 7
5 6 7 8
7 8 9 10
6 7 8 9
8 9 10 11
9 10 11 12
[6, 10, 14, 18, 22, 26, 30, 34, 38, 42]