Python 2.7 multiprocessing get process result whithout using pool -

how can result process without using pool ?

(i'm willing conserve eye on progression:

(print "\r",float(done)/total,"%",) 

which can't done using pool far know)

def multiprocess(function, argslist, ncpu):     total = len(argslist)     done = 0     jobs = []     while argslist != []:         if len(mp.active_children()) < ncpu:             p = mp.process(target=function,args=(argslist.pop(),))             jobs.append(p)             p.start()             done+=1             print "\r",float(done)/total,"%",     #get results here     job in jobs:         job.get_my_result()??? 

the processes short (<0.5 seconds) have around 1 million of them.

i saw thread can return value multiprocessing.process? tried reproduce couldn't make work properly.

at entire disposal further information.

this question may considered duplicate anyway here solution problem:

def multiprocess(function, argslist, ncpu):     total = len(argslist)     done = 0     result_queue = mp.queue()     jobs = []     while argslist != [] , done<10 :         if len(mp.active_children()) < ncpu:             p = mp.process(target=function,args=(result_queue, argslist.pop(),))             jobs.append(p)             p.start()             done+=1             print "\r",float(done)/total,"%",     #get results here     res = [result_queue.get() p in jobs]     print res 

and had change

return function_result 

into

result_queue.put(function_result)