Category : multiprocessing

#import threading import multiprocessing import time condition = True finish_state = False x = 0 all_processes = [] def operation_process(x): #many operations with x value that if they take a long time will be closed because the other thread will set the boolean to True and close all open threads time.sleep(20) #for example these operations ..

Read more

I’m trying to use multi-processing on windows 10 with Python 3.10.1. If the method has a decoration, then this code fails: from multiprocessing import Process def profiler(func): def wrap(*args, **kwargs): result = func(*args, **kwargs) return result return wrap @profiler def go_around(num): print(num) if __name__ == ‘__main__’: p = Process(target=go_around, args=(1,)) p.start() p.join() I’m getting this ..

Read more

python is definitely one of the worst languages for parallel processing just finna get the parent process to throw an error when the child process fails. instead, the parent process hangs at the recv() method some code in the child process: try: condition.acquire() x = 0/0 pipeConn2.send(‘test data’) condition.notify_all() condition.release() except: pipeConn2.close() # expect this ..

Read more

I am trying to make a soundboard that plays after a certain keystroke. I didn’t find an efficient way to make the code online ,so I created a function that runs in parallel to record keystrokes. but now although it works I think that there might be a more efficient way to implement the idea. ..

Read more

Here is some test of multiprocessing.Pool vs multiprocessing.pool.ThreadPool vs sequential version, I wonder why multiprocessing.pool.ThreadPool version is slower than sequential version? Is it true that multiprocessing.Pool is faster because it use processes (i.e. without GIL) and multiprocessing.pool.ThreadPool use threads(i.e. with GIL) despite the name of the package multiprocessing? import time def test_1(job_list): from multiprocessing import ..

Read more

I have a image-processing service containing two methods, which I want to execute in parallel using the multiprocessing library in Python. The first-method does an api call in order to fetch image metadata from an external service. The second method uses an object of a class which performs certain complex operations such as reading an ..

Read more