We discussed this again and will merge the current version in a few days unless
there is more discussion.
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I like this, too.
And I think the trailing comment, # shape=... is much better, as it gets
the best of both worlds: user get the info, and tools which do
eval(repr(..)) only need to learn to ignore the comment. For one, numpy's
own doctests will keep working with no churn since scipy_doctest handl
>
> Given that we've already chosen to use the fake `shape=...` keyword when
> there is a 0-length axis, what do you think we should do, consistency-wise?
>
> >>> np.empty([10, 0])
> array([], shape=(10, 0), dtype=float64)
>
> 1. Follow the precedent and use the fake `shape=...` keyword in the
> su
On Tue, Oct 1, 2024 at 9:57 AM Evgeni Burovski via NumPy-Discussion <
numpy-discussion@python.org> wrote:
> I like this, too.
>
> And I think the trailing comment, # shape=... is much better, as it gets
> the best of both worlds: user get the info, and tools which do
> eval(repr(..)) only need to
I like this.
while ideally, eval(repr(an_object)) == object, in practice this is
already violated fro large arays -- so other than doctests, this shouldn't
cause too many headaches.
-CHB
On Mon, Sep 30, 2024 at 10:13 AM Marten van Kerkwijk
wrote:
> Hi All,
>
> When the repr of an array is sho
