I have a few coroutines running on one process (A) and one heavier unbounded job running on a separate process(B). I would like that heavier job to dispatch its results into a queue which is consumed by the original process (A). Similar to this: import asyncio import time from concurrent.futures import ProcessPoolExecutor def process__heavy(pipe): print("[B]… Read More Shared queue contents not visible in Python multiprocessing
No multiprocessing code: from time import time func1Results =  def func1(valList): num = 0 for val in valList: num += val func1Results.append(num) if __name__ == ‘__main__’: st = time() for valList in [range(40000000), range(40000000), range(40000000), range(40000000)]: func1(valList) ed = time() for r in func1Results: print(r) print(ed – st) Output: 799999980000000 799999980000000 799999980000000 799999980000000 13.679119348526001… Read More Returning results is very slow in multiprocess code. What should I do?
I have written a very basic code to test multiprocess in python. When i try to run the code on my windows machine, it does not run while it works fine on linux machine. Below is the code and the error that it throws. from multiprocessing import Process import os import time # creating a… Read More Multiprocess code in python fails to execute on windows side
Let’s say I have this simple function: def print_name(name): print(name) time.sleep(10) print(‘finished sleeping @ ‘, str(dt.datetime.now())) I’m trying to use multiprocessing to run this in a loop for several names all at once, like in the below: from multiprocessing.pool import ThreadPool as Pool names = [‘A’,’B’,’C’,’D’,’E’] with Pool() as pool: for name in names: pool.map(print_name,[name])… Read More Python Multiprocessing not running simultaneously