#!/usr/bin/env python

from multiprocessing import Pool
import os
import time
import random

def worker(data):
    print "[%s] starting process, working on [%s]" % (os.getpid(), data)
    time.sleep(random.randrange(5))
    success = (random.random() > 0.2)
    if success:
        print "[%s] finished [%s] successfully" % (os.getpid(), data)
    else:
        print "[%s] error processing [%s]" % (os.getpid(), data)
    return success


if __name__ == '__main__':
    mydata = ["the", "quick", "brown", "fox", "jumped",
              "over", "the", "lazy", "dog"]

    p = Pool(4) # defaults to number of CPUS
                # can also provide an initialization function
                # and arguments to it

    print "[%s] Pool created" % os.getpid()
    results = p.map(worker, mydata)
    print "[%s] Pool map completed" % os.getpid()
    print results