How to share numpy random state of a parent process with child processes?

Question

I set numpy random seed at the beginning of my program. During the program execution I run a function multiple times using multiprocessing.Process. The function

Answer 1

You need to update the state of the Manager each time you get a random number:

import numpy as np
from multiprocessing import Manager, Pool, Lock

lock = Lock()
mng = Manager()
state = mng.list(np.random.get_state())

def get_random(_):
    with lock:
        np.random.set_state(state)
        result = np.random.uniform()
        state[:] = np.random.get_state()
        return result

np.random.seed(1)
result1 = Pool(10).map(get_random, range(10))

# Compare with non-parallel version
np.random.seed(1)
result2 = [np.random.uniform() for _ in range(10)]

# result of Pool.map may be in different order
assert sorted(result1) == sorted(result2)