并行Python-如何使用输出数据？

Question

Hey im new to Parallel python, and was writing a simple code that adds numbers together in parallel, the code works fine to add the numbers, but im wondering how you go about using the output from the jobs after its done, if possible? my code is as follows:

import sys, time
import pp
import numpy
x = numpy.arange(-20.0,20.0,0.5)
grav = []
gravity = numpy.zeros([4,1])
def function(raw_input,x,grav):
    f = 0
    for i in numpy.arange(len(x)):
        f+=1
    a=raw_input[0]
    b=raw_input[1]
    c=raw_input[2]
    d=raw_input[3]
    grav.append((a+b+c+d)+f)
    return grav
for i in numpy.arange(2):
    # 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"
    start_time = time.time()

    # The following submits 4 jobs and then retrieves the results
    puts = ([1,2,3,4], [3,2,3,4],[4,2,3,6],[2,3,4,5])

    jobs = [(raw_input, job_server.submit(function,(raw_input,x,grav), (), ("numpy",))) for raw_input in puts]
    for raw_input, job in jobs:
        print "Sum of numbers", raw_input, "is", job()
    print grav
    print "Time elapsed: ", time.time() - start_time, "s"
    job_server.print_stats()
    print gravity
    #gravity[i] = grav

this prints out the 4 results, which are 90,92,95,94, and gives the stats etc. so my question is how can i then use the 4 result numbers, i want them to be dumped into the array called gravity that's there but i cant figure out how. Thanks

Answer 1

You need to store the result of the job() function. Try the following code:

import sys, time
import pp
import numpy
x = numpy.arange(-20.0,20.0,0.5)
grav = []
gravity = numpy.zeros([4,1])
def function(raw_input,x,grav):
    f = 0
    for i in numpy.arange(len(x)):
        f+=1
    a=raw_input[0]
    b=raw_input[1]
    c=raw_input[2]
    d=raw_input[3]
    grav.append((a+b+c+d)+f)
    return grav

jobsList = []

for i in numpy.arange(2):
    # 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"
    start_time = time.time()

    # The following submits 4 jobs and then retrieves the results
    puts = ([1,2,3,4], [3,2,3,4],[4,2,3,6],[2,3,4,5])

    jobs = [(raw_input, job_server.submit(function,(raw_input,x,grav), (), ("numpy",))) for raw_input in puts]
    for raw_input, job in jobs:
        r = job()
        jobsList.append(r)
        print "Sum of numbers", raw_input, "is", r
    print grav
    print "Time elapsed: ", time.time() - start_time, "s"
    job_server.print_stats()
    print gravity
    for job in jobsList:
        print job