[Numpy-discussion] NEP 21: Simplified and explicit advanced indexing (original) (raw)
Hameer Abbasi einstein.edison at gmail.com
Tue Jun 26 04:01:24 EDT 2018
- Previous message (by thread): [Numpy-discussion] NEP 21: Simplified and explicit advanced indexing
- Next message (by thread): [Numpy-discussion] NEP 21: Simplified and explicit advanced indexing
- Messages sorted by: [ date ] [ thread ] [ subject ] [ author ]
I second this design. If we were to consider the general case of a tuple
idx
, then we’d not be moving forward at all. Design changes would be
impossible. I’d argue that this newer model would be easier for library
maintainers overall (who are the kind of people using this), reducing
maintenance cost in the long run because it’d lead to simpler code.
I would also that the “internal” classes expressing outer as vectorised indexing etc. should be exposed, for maintainers of duck arrays to use. God knows how many utility functions I’ve had to write to avoid relying on undocumented NumPy internals for pydata/sparse, fearing that I’d have to rewrite/modify them when behaviour changes or I find other corner cases.
Best Regards, Hameer Abbasi Sent from Astro <https://www.helloastro.com> for Mac
On 26. Jun 2018 at 09:46, Robert Kern <robert.kern at gmail.com> wrote:
On Tue, Jun 26, 2018 at 12:13 AM Eric Wieser <wieser.eric+numpy at gmail.com> wrote:
> I don't think it should be relegated to the "officially discouraged" ghetto of
.legacyindex
The way I read it, the new spelling lof that would be the explicit but not discouraged
image.vindex[rr, cc]
.
Okay, I missed that the first time through. I think having more
self-contained descriptions of the semantics of each of these would be a
good idea. The current description of .vindex
spends more time talking
about what it doesn't do, compared to the other methods, than what it does.
Some more typical, less-exotic examples would be a good idea.
I would reserve warnings for the cases where the current behavior is something no one really wants, like mixing slices and integer arrays.
These are the cases that would only be available under
legacyindex
.
I'm still leaning towards not warning on current, unproblematic common uses. It's unnecessary churn for currently working, understandable code. I would still reserve warnings and deprecation for the cases where the current behavior gives us something that no one wants. Those are the real traps that people need to be warned away from.
If someone is mixing slices and integer indices, that's a really good sign that they thought indexing behaved in a different way (e.g. orthogonal indexing).
If someone is just using multiple index arrays that would currently not give an error, that's actually a really good sign that they are using it correctly and are getting the semantics that they desired. If they wanted orthogonal indexing, it is really likely that their index arrays would not broadcast together. And even if they did, the wrong shape of the result is one of the more easily noticed things. These are not silent errors that would motivate adding a new warning.
-- Robert Kern
NumPy-Discussion mailing list NumPy-Discussion at python.org https://mail.python.org/mailman/listinfo/numpy-discussion -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://mail.python.org/pipermail/numpy-discussion/attachments/20180626/42078ccd/attachment.html>
- Previous message (by thread): [Numpy-discussion] NEP 21: Simplified and explicit advanced indexing
- Next message (by thread): [Numpy-discussion] NEP 21: Simplified and explicit advanced indexing
- Messages sorted by: [ date ] [ thread ] [ subject ] [ author ]