Typing is for library developers more than end users. I would also worry that putting it into the top level might discourage other typing classes since it is more difficult to add to the top level than to a lower level module. np.typing seems very clear to me.
On Sat, Apr 25, 2020, 07:41 Stephan Hoyer <sho...@gmail.com> wrote: > > > On Fri, Apr 24, 2020 at 11:31 AM Sebastian Berg < > sebast...@sipsolutions.net> wrote: > >> On Fri, 2020-04-24 at 11:10 -0700, Stefan van der Walt wrote: >> > On Fri, Apr 24, 2020, at 08:45, Joshua Wilson wrote: >> > > But, Stephan pointed out that it might be confusing to users for >> > > objects to only exist at typing time, so we came around to the >> > > question of whether people are open to the idea of including the >> > > type >> > > aliases in NumPy itself. Ralf's concrete proposal was to make a >> > > module >> > > numpy.types (or maybe numpy.typing) to hold the aliases so that >> > > they >> > > don't pollute the top-level namespace. The module would initially >> > > contain the types >> > >> > That sounds very sensible. Having types available with NumPy should >> > also encourage their use, especially if we can add some documentation >> > around it. >> >> I agree, I might have a small tendency for `numpy.types` if we ever >> find any usage other than direct typing that may be the better name? > > > Unless we anticipate adding a long list of type aliases (more than the > three suggested so far), I would lean towards adding ArrayLike to the top > level NumPy namespace as np.ArrayLike. > > Type annotations are becoming an increasingly core part of modern Python > code. We should make it easy to appropriately type check functions that act > on NumPy arrays, and a top level np.ArrayLike is definitely more convenient > than np.types.ArrayLike. > > Out of curiousity, I guess `ArrayLike` would be an ABC that a >> downstream project can register with? > > > ArrayLike will be a typing Protocol, automatically recognizing attributes > like __array__ to indicate that something can be cast to an array. > > >> >> - Sebastian >> >> >> > >> > Stéfan >> > _______________________________________________ >> > NumPy-Discussion mailing list >> > NumPy-Discussion@python.org >> > https://mail.python.org/mailman/listinfo/numpy-discussion >> >> >> _______________________________________________ >> NumPy-Discussion mailing list >> NumPy-Discussion@python.org >> https://mail.python.org/mailman/listinfo/numpy-discussion >> > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@python.org > https://mail.python.org/mailman/listinfo/numpy-discussion >
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