>
>
>>
>> - 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
>
On Fri, Aug 2, 2024 at 9:37 AM Robert Kern wrote:
> On Fri, Aug 2, 2024 at 1:28 AM Andrew Nelson 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
On Fri, Aug 2, 2024 at 1:28 AM Andrew Nelson 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
