On 03/11/2013 10:10, capple...@gmail.com wrote:
On Friday, November 1, 2013 10:35:47 PM UTC-4, smhall05 wrote:
I am using a basic multiprocessing snippet I found:
#-----------------------------------------------------
from multiprocessing import Pool
def f(x):
return x*x
if __name__ == '__main__':
pool = Pool(processes=4) # start 4 worker processes
result = pool.apply_async(f, [10]) # evaluate "f(10)" asynchronously
print result.get(timeout=1)
print pool.map(f, range(10)) # prints "[0, 1, 4,..., 81]"
#---------------------------------------------------------
I am using this code to have each process go off and solve the same problem,
just with different inputs to the problem. I need to be able to kill all
processes once 1 of n processes has come up with the solution. There will only
be one answer.
I have tried:
sys.exit(0) #this causes the program to hang
pool.close()
pool.terminate
These still allow further processing before the program terminates. What else
can I try? I am not able to share the exact code at this time. I can provide
more detail if I am unclear. Thank you
You could take a look at the Mutiprocessing module capabilities for exchanging
objects between processes:
http://docs.python.org/3.3/library/multiprocessing.html#exchanging-objects-between-processes
Would you please read and action this as it prevents the double line
spacing that you can observe above, thanks
https://wiki.python.org/moin/GoogleGroupsPython
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