[Numpy-discussion] Ndarray static typing: Order of generic types

[Stephan Hoyer]

On Wed, Oct 28, 2020 at 2:44 PM bas van beek <bas.vanbeek at hotmail.com>
wrote:

> Hey all,
>
>
>
> With the recent merging of numpy/numpy#16759
> <https://github.com/numpy/numpy/pull/16759> we’re at the point where `
> ndarray` can be made generic w.r.t. its dtype and shape.
>
> An open question which yet remains is to order in which these two
> parameters should appear (numpy/numpy#16547
> <https://github.com/numpy/numpy/issues/16547>):
>
> ·         `ndarray[Dtype, Shape]`
>
> ·         `ndarray[Shape, Dtype]`
>
>
Hi Bas,

Thanks for driving this forward!

Just to speak for myself, I don't think the precise choice matters
very much. There are arguments for consistency both ways. In the end Dtype
and Shape are different enough that I doubt it will be a point of confusion.

Also, I would guess many users will define their own type aliases, so can
write something more succinct like Float64[shape] rather than
ndarray[float64, shape].  We might even consider including some of these in
numpy.typing.

Cheers,
Stephan



>
>
> There has been a some discussion about this question in issue 16547, but a
> consensus has not yet to be reached.
>
> Most people seem to slightly preferring one option over the other.
>
>
>
> Are there any further thoughts on this subject?
>
>
>
> Regards,
>
> Bas van Beek
>
>
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