On Mon, 1 Jul 2019, at 2:34 PM, Ralf Gommers wrote:
> This issue is not very surprising - __array_function__ is going to have a
> fair bit of backwards compat impact for people who were relying on feeding
> all sorts of stuff into numpy functions that previously got converted with
> asarray. At this point Dask is the main worry, followed by CuPy and
> pydata/sparse. All those libraries have very responsive maintainers. Perhaps
> we should just try to get these issues fixed asap in those libraries instead?
Fixing them is not sufficient, because many people are still going to end up
with broken code unless they are bleeding-edge with everything. It's best to
minimise the number of forbidden version combinations.
Your suggestion on the issue to switch from typeerror to warning is, imho, much
better, as long as the warning contains a link to an issue/webpage explaining
what needs to happen. It's only because I've been vaguely aware of the
`__array_function__` discussions that I was able to diagnose relatively
quickly. The average user would be very confused by this code break or by a
warning, and be unsure of what they need to do to get rid of the warning.
_______________________________________________
NumPy-Discussion mailing list
NumPy-Discussion@python.org
https://mail.python.org/mailman/listinfo/numpy-discussion