Matti Picus

@arjunc77 that sounds familiar: looking higher in the thread I see a similar comment. Could you make sure you are using SWIG > 4.0.0 to generate the wrappers?

@SungmanHong can you share the formula? What did you need to do?

What is wrong with this? I don't think we are going to change something so basic to NumPy at this stage. ``` print(f"{x=}") print(f"{x.shape=}") ```

related to #7989 "numpy.load cannot read from tar archive" Edit: add issue description

Summarizing the more difficult problem: changing the repr breaks doc tests. It seems there are about a dozen in scipy, but only a handful in NumPy. If we go ahead...

Agreed. That was also the sentiment at the triage meeting: a fake argument not a comment.

Thanks @mhvk

Please justify adding to the project's maintenance burden. This reverts the decision made in the [1.22 release](https://numpy.org/doc/stable/release/1.22.0-notes.html#numpy-1-22-0-release-notes) to drop 32 bit linux wheels > Also note that 32 bit wheels...

The original contributor did not respond. Closing.