Python 3中模块线程和多处理的使用是否互斥？

Question

• https://docs.python.org/3/library/threading.html
• https://docs.python.org/3/library/multiprocessing.html
• Python: what are the differences between the threading and multiprocessing modules?

Using Python 3.4 on Linux

I'm new to parallel programming and I'm encountering problems when running the threading.Threads() for a specific method, and the module multiprocessing.Process() for another. Both methods work fine when the other one is commented out. Neither method has anything to do with the other (eg no attempt to share data). But when I have them both running neither works and everything freezes. As far as I can tell the multiprocessing seems to lock up. I assume the same thing applies for the Threading.

So the first step is to assert whether or not this is even possible?

(I have a feeling some of you will ask the reason for this... The threading does a simple capture user key checking while the multiprocessing does some heavy lifting)

I'm providing an example (more like pseudo code) to help illustrate how the methods are used.

file t.py

import threading

Class T:

    Def __init__():
        t = threading.Thread(target = self.ThreadMethod)
        t.daemon = True
        t.start()

    Def ThreadMehod():
        # capture key

file m.py

import multiproceessing

Class M:

    Def __init__():
        mp = multiprocessing.Process(target = self.ProcessMethod)
        mp.start()

    Def ProcessMethod():
        # heavy lifting

file main.py

import T
import M

Class main:

  Def __init__():
     T()

  Def DoTheProcess()
     for i in range(5):
       M()

Answer 1

"no. threading and multiprocessing are not mutually exlusive. Though there are known issues (eg, the reason for atfork existance) that constrain how they can be used together." - JF Sebastian