On Wed, Oct 28, 2020 at 2:44 PM bas van beek <bas.vanb...@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 > > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@python.org > https://mail.python.org/mailman/listinfo/numpy-discussion >
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