On Fri, Aug 2, 2024 at 1:28 AM Andrew Nelson <andyf...@gmail.com> wrote:
> When using the new `Generator`s for stochastic optimisation I sometimes
> find myself possessing a great solution, but am wondering what path the
> random number generation took to get to that point.
>
> I know that I can get the current state of the BitGenerators. However,
> what I'd like to do is query the BitGenerator to figure out how the
> BitGenerator was setup in the first place.
>
> i.e. either:
>
> - the seed/SeedSequence that was used to construct the BitGenerator
>
>>> rng = np.random.default_rng()
>>> rng.bit_generator.seed_seq
SeedSequence(
entropy=186013007116029215180532390504704448637,
)
In some older versions of numpy, the attribute was semi-private as
_seed_seq, if you're still using one of those.
--
Robert Kern
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