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Gymnasium/gym/spaces/prng.py

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import numpy
np_random = numpy.random.RandomState()
def seed(seed=None):
"""Seed the common numpy.random.RandomState used in spaces
CF
https://github.com/openai/gym/commit/58e6aa95e5af2c738557431f812abb81c505a7cf#commitcomment-17669277
for some details about why we seed the spaces separately from the
envs, but tl;dr is that it's pretty uncommon for them to be used
within an actual algorithm, and the code becomes simpler to just
use this common numpy.random.RandomState.
"""
np_random.seed(seed)
# This numpy.random.RandomState gets used in all spaces for their
# 'sample' method. It's not really expected that people will be using
# these in their algorithms.
seed(0)