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
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