[Numpy-discussion] NEP 21: Simplified and explicit advanced indexing

Robert Kern robert.kern at gmail.com
Tue Jun 26 04:57:54 EDT 2018

On Tue, Jun 26, 2018 at 1:49 AM Hameer Abbasi <einstein.edison at gmail.com>
> On 26. Jun 2018 at 10:33, Robert Kern <robert.kern at gmail.com> wrote:
> > I'd suggest that the NEP explicitly disclaim deprecating current
behavior. Let the NEP just be about putting the new features out there.
Once we have some experience with them for a year or three, then let's talk
about deprecating parts of the current behavior and make a new NEP then if
we want to go that route. We're only contemplating *long* deprecation
cycles anyways; we're not in a race. The success of these new features
doesn't really rely on the deprecation of current indexing, so let's
separate those issues.
> I would disagree here. For libraries like Dask, XArray, pydata/sparse,
XND, etc., it would be bad for them if there was continued use of “weird”
indexing behaviour (no warnings means more code written that’s… well… not
exactly the best design). Of course, we could just choose to not support
it. But that means a lot of code won’t support us, or support us later than
we desire.
> I agree with your design of “let’s limit the number of
warnings/deprecations to cases that make very little sense” but there
should be warnings.

I'm still in favor of warnings in these cases. I didn't mean to suggest
excluding those from the NEP. I just don't think they should be
deprecations; we shouldn't suggest that they will eventually turn into
errors. At least until we get these features out there, get some experience
with them, then have a new NEP at that time just proposing deprecation.

P.S. Would you mind bottom-posting? It helps maintain the context of what
you are commenting on and my reply to those comments. I tried writing this
reply without it, and it felt like it was missing context. Thanks!

Robert Kern
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/numpy-discussion/attachments/20180626/fbd554dc/attachment-0001.html>

More information about the NumPy-Discussion mailing list