#57_multiprocessing.py

# multiprocessing = running tasks in parallel on different cpu cores, bypasses GIL used for threading
# multiprocessing = better for cpu bound tasks (heavy cpu uses)
# multithreading = better io bound tasks (waiting around)


from multiprocessing import Process, cpu_count
import time

def counter(num):
    count = 0
    while count < num:
        count += 1

def main():
    print(cpu_count())

    a = Process(target=counter, args=(10000000,))
    b = Process(target=counter, args=(10000000,))
    c = Process(target=counter, args=(10000000,))
    d = Process(target=counter, args=(10000000,))

    a.start()
    b.start()
    c.start()
    d.start()

    a.join()
    b.join()
    c.join()
    d.join()

    print("Finished at: ", time.process_time(), "seconds")


if __name__ == '__main__':
    main()