Hi everyone,
Ah, I neglected to see that the PR was already merged. In any case, I’ll repeat
my comment here (referring to the indexing section):
I would suggest that this section be removed entirely or updated. For example,
if xis either an array scalar or a rank zero array, x[...] is guaranteed to be
an array and x[()]is guaranteed to be a scalar. The difference is because
x[{anything here}, ...] is guaranteed to be an array. In words, if the last
index is an ellipsis, the result of indexing is guaranteed to be an array.
I came across this weird behaviour when implementing the equivalent of
np.wherefor PyData/Sparse.
Best Regards,
Hameer Abbasi
> On Wednesday, Oct 17, 2018 at 7:59 PM, Matti Picus <matti.pi...@gmail.com
> (mailto:matti.pi...@gmail.com)> wrote:
> In PR 12166 https://github.com/numpy/numpy/pull/12166 we revived an old
> wiki document discussing the implementation of 0-dimensional arrays.
> This became informational NEP-27
> http://www.numpy.org/neps/nep-0027-zero-rank-arrarys.html. There was
> fruitful discussion of the NEP and the need for both 0-D arrays and
> scalars on the PR comments. The NEP itself is informational and freezes
> the information to the 2006 discussion, noting that "some of the
> information here is dated, for instance indexing of 0-D arrays now is
> now implemented and does not error."
>
>
> I would like to submit the NEP for discussion and approval.
>
> Matti
>
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