hfSrSSKJr SSKrSSKJr SSSjjr\RR=r r g)zLSet of random number generator functions: seeding, generator, hashing seeds.) annotationsN)errorcUbi[U[5(aSU::dN[U[5SLa"[R"S[ U535e[R"SU35e[ R RU5nURn[[ R RU55nX24$)a/Returns a NumPy random number generator (RNG) along with seed value from the inputted seed. If ``seed`` is ``None`` then a **random** seed will be generated as the RNG's initial seed. This randomly selected seed is returned as the second value of the tuple. .. py:currentmodule:: gymnasium.Env This function is called in :meth:`reset` to reset an environment's initial RNG. Args: seed: The seed used to create the generator Returns: A NumPy-based Random Number Generator and generator seed Raises: Error: Seed must be a non-negative integer rFz,Seed must be a python integer, actual type: z5Seed must be greater or equal to zero, actual value: ) isinstanceintrErrortypenprandom SeedSequenceentropyRandomNumberGeneratorPCG64)seedseed_seqnp_seedrngs Q/home/james-whalen/.local/lib/python3.13/site-packages/gymnasium/utils/seeding.py np_randomr s& D#!6!619 dC E )++>tDzlK ++GvN yy%%d+HG   9 :C <)N)rz int | Nonereturnztuple[np.random.Generator, int]) __doc__ __future__rnumpyr gymnasiumrrr GeneratorRNGrrrrs.R" F!ii111r