-
-# print """Usage: python sum_primes.py [ncpus]
-# [ncpus] - the number of workers to run in parallel,
-# if omitted it will be set to the number of processors in the system
-# """
-
-# # tuple of all parallel python servers to connect with
-# ppservers = ()
-# #ppservers = ("10.0.0.1",)
-
-# if len(sys.argv) > 1:
-# ncpus = int(sys.argv[1])
-# # Creates jobserver with ncpus workers
-# job_server = pp.Server(ncpus, ppservers=ppservers)
-# else:
-# # Creates jobserver with automatically detected number of workers
-# job_server = pp.Server(ppservers=ppservers)
-
-# print "Starting pp with", job_server.get_ncpus(), "workers"
-
-# # Submit a job of calulating sum_primes(100) for execution.
-# # sum_primes - the function
-# # (100,) - tuple with arguments for sum_primes
-# # (isprime,) - tuple with functions on which function sum_primes depends
-# # ("math",) - tuple with module names which must be imported before sum_primes execution
-# # Execution starts as soon as one of the workers will become available
-# job1 = job_server.submit(sum_primes, (100,), (isprime,), ("math",))
-
-# # Retrieves the result calculated by job1
-# # The value of job1() is the same as sum_primes(100)
-# # If the job has not been finished yet, execution will wait here until result is available
-# result = job1()
-
-# print "Sum of primes below 100 is", result
-
-# start_time = time.time()
-
-# # The following submits 8 jobs and then retrieves the results
-# inputs = (100000, 100100, 100200, 100300, 100400, 100500, 100600, 100700)
-# jobs = [(input, job_server.submit(sum_primes,(input,), (isprime,), ("math",))) for input in inputs]
-# for input, job in jobs:
-# print "Sum of primes below", input, "is", job()
-
-# print "Time elapsed: ", time.time() - start_time, "s"
-# job_server.print_stats()
-
-# # Parallel Python Software: http://www.parallelpython.com