[Numpy-discussion] Re: Original seed of a BitGenerator
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 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 ___ NumPy-Discussion mailing list -- numpy-discussion@python.org To unsubscribe send an email to numpy-discussion-le...@python.org https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ Member address: arch...@mail-archive.com
[Numpy-discussion] Re: Original seed of a BitGenerator
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 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. > > In many cases you can add your own attributes to python objects, so you can record the seed yourself as rng.my_seed = blah I didn't test if the BitGenerator supports this -- *Those who don't understand recursion are doomed to repeat it* ___ NumPy-Discussion mailing list -- numpy-discussion@python.org To unsubscribe send an email to numpy-discussion-le...@python.org https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ Member address: arch...@mail-archive.com
[Numpy-discussion] next NumPy Optimization Team meeting - August 5th, 2024 at 5 pm UTC
The next NumPy Optimization Team meeting will be held this Monday, August 5th at 5 pm UTC. Join us via Zoom: https://numfocus-org.zoom.us/j/81261288210?pwd=iwV99tGSjR61RTGEERKM4QKxe46g1n.1 . Everyone is welcome and encouraged to attend. To add to the meeting agenda the topics you’d like to discuss, follow the link: https://hackmd.io/dVdSlQ0TThWkOk0OkmGsmw?both. For the notes from the previous meetings, visit: https://github.com/numpy/archive/tree/main/optim_team_meetings. -- Cheers, Inessa Inessa Pawson GitHub: inessapawson ___ NumPy-Discussion mailing list -- numpy-discussion@python.org To unsubscribe send an email to numpy-discussion-le...@python.org https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ Member address: arch...@mail-archive.com
[Numpy-discussion] NumPy 2.0 AMA with Nathan Goldbaum
If you missed the NumPy 2.0 birds-of-a-feather session at SciPy 2024, here is your lucky second chance! Join an AMA with Nathan Goldbaum, a NumPy maintainer from Quansight Labs, hosted by OpenTeams to discuss the team’s work on NumPy 2.0 and future direction of the project. This is also an opportunity for you to share any challenges you ran into with your project while transitioning to NumPy 2.0 and seek advice if you are still working on it. WHEN:: Tuesday, August 6th at 12 pm ET / 4 pm UTC WHERE:: Join us via Zoom: https://numfocus-org.zoom.us/webinar/register/WN_HRKnCdfhStW31Hc-LEnwfQ Registration is required. -- Cheers, Inessa Inessa Pawson GitHub: inessapawson ___ NumPy-Discussion mailing list -- numpy-discussion@python.org To unsubscribe send an email to numpy-discussion-le...@python.org https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ Member address: arch...@mail-archive.com
[Numpy-discussion] Re: Original seed of a BitGenerator
> > >> >> - 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. > > This is exactly what I was looking for. > > ___ NumPy-Discussion mailing list -- numpy-discussion@python.org To unsubscribe send an email to numpy-discussion-le...@python.org https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ Member address: arch...@mail-archive.com
