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Home/ Questions/Q 8541973
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Editorial Team
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Editorial Team
Asked: June 11, 20262026-06-11T11:57:07+00:00 2026-06-11T11:57:07+00:00

The code below works perfectly on Unix but generates a multiprocessing.TimeoutError on Windows 7

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The code below works perfectly on Unix but generates a multiprocessing.TimeoutError on Windows 7 (both OS use python 2.7).

Any idea why? Thanks.

from multiprocessing import Pool

def increment(x):
    return x + 1

def decrement(x):
    return x - 1

pool = Pool(processes=2)
res1 = pool.map_async(increment, range(10))
res2 = pool.map_async(decrement, range(10))

print res1.get(timeout=1)
print res2.get(timeout=1)
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1 Answer

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  1. Editorial Team
    Editorial Team
    2026-06-11T11:57:09+00:00Added an answer on June 11, 2026 at 11:57 am

    You need to put your actual program logic in side a if __name__ == '__main__': block.

    On Unixy systems, Python forks, producing multiple processes to work from. Windows doesn’t have fork. Python has to launch a new interpreter and re-import all your modules instead. This means that each subprocess will reimport your main module. For the code you’ve written reimporting the module will cause each newly launched processes to launch processes of its own.

    See: http://docs.python.org/library/multiprocessing.html#windows

    EDIT this works for me:

    from multiprocessing import Pool
    
    def increment(x):
        return x + 1
    
    def decrement(x):
        return x - 1
    
    if __name__ == '__main__':
        pool = Pool(processes=2)
        res1 = pool.map_async(increment, range(10))
        res2 = pool.map_async(decrement, range(10))
    
        print res1.get(timeout=1)
        print res2.get(timeout=1)
    
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