On Sat, Apr 30, 2022 at 4:51 PM Sergei Lebedev
wrote:
> Hi everyone,
>
> I've noticed that NumPy currently users separate type stub files for
> specifying types for both pure Python and native modules. For example the
> (untyped) implementation of np.core._asarray is in [1], but the types are
> i
> I think that's on purpose, because the type annotations are quite complex.
> For reasons of correctness/completeleness, they use protocols, mixins, and
> overloads. Inside pure Python code, that would be harder to read and
> maintain.
I agree that NumPy type annotations are quite complex. Howeve
