There is an issue that suggests reimplementing many of the Generator methods as ufuncs so they they would inherit all of the free features of ufuncs. It seems like a doable but large project for some useful but nonessential features.
Kevin On Wed, Jun 30, 2021, 20:49 Robert Kern <robert.k...@gmail.com> wrote: > On Wed, Jun 30, 2021 at 3:34 PM Yoann Mocquin <mocq...@me.com> wrote: > >> >> >> Hello there, >> >> here is a feature request for the possibility to wrap numpy random >> distributions to be wrapped by a mechanism like __array_function__ or >> __array_ufunc__. You can find the GH issue at : >> https://github.com/numpy/numpy/issues/19382. >> >> >> >> This post follows [this one](https://github.com/numpy/numpy/issues/18902). >> I figured I should open another issue for `np.random.normal`, but this >> applies for all distributions I guess. >> >> ## Feature >> >> Basicaly, I would like that `numpy.random.*` distributions could trigger >> an interface when passed instances from custom classes, "à la" >> `__array_ufunc__` or `__array_function__`. Here is an example concept : >> > > The main problem is that these are not functions but methods on a hidden > global `RandomState` instance. I haven't kept up fully with all of the > efforts in the `__array_*__` proposals, but I do see that methods are > explicitly excluded from the `__array_function__` mechanism: > > https://numpy.org/neps/nep-0018-array-function-protocol.html#non-goals > > The `RandomState` functionality (and thus all of these aliases in > `numpy.random`) are now frozen in functionality (per NEP 19), so we will > not be adding this functionality to them. If the `__array_function__` > developments eventually work out a good way to wrap methods, then we can > think about using that on `Generator`, but I suspect that will not be > straightforward. > > -- > Robert Kern > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@python.org > https://mail.python.org/mailman/listinfo/numpy-discussion >
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