On Dec 1, 3:24 am, James Mills <prolo...@shortcircuit.net.au> wrote: > I assume you are talking about multiprocessing > despite you mentioning "multithreading" in the mix.
yes, sorry. > Have a look at the source code for multiprocessing.pool > and how the Pool object works and what it does > with the initializer argument. I'm not entirely sure it > does what you expect and yes documentation on this > is lacking... I see I found my way "to seed" each member of Pool with own data. I do it right after after initialization: port = None def port_seeder(port_val) from time import sleep sleep(1) # or less... global port port = port_val if __name__ == '__main__': pool = Pool(3) pool.map(port_seeder, range(3), chunksize=1) # now child processes are initialized with individual values. Another (a bit more heavier) approach would be via shared resource. P.S. sorry, I found your answer only now. reagrds -- Valery -- http://mail.python.org/mailman/listinfo/python-list