I created https://github.com/numpy/numpy/pull/21601 to update NEP29 to
address PEP602.
I'm not sure what the procedure for updating the NEP is. What I wrote may
be too editorial, we could amend it to "PEP602 changed cadence, we are not
reacting." with no explanation as well.
Tom
On Wed, May 25,
If it's any help, I would suggest looking at how SymPy does its PDF
documentation. We have a few adjustments to the Sphinx defaults to make
things work (although it's honestly not that much, mainly just using XeTeX
for Unicode support).
https://github.com/sympy/sympy/blob/master/doc/Makefile
One o
> I have seen problems popping up already in a few places with latest numpy not
> supported what is still the most commonly used Python version (don't have
> links, sorry - but they were real packaging-related issues). So I don't think
> it makes sense to shorten the time window. I also don't th
On Wed, 25 May 2022, 4:54 pm Thomas Caswell, wrote:
>
> Stealing some language/concepts from Microsoft (if I recall it correctly),
> we should sort out which entries in that support matrix are Level 1 (CI +
> wheels), Level 2 (CI), Level 3 (we test something that looks like this),
> and Level 4 (
On Wed, May 25, 2022 at 4:56 PM Thomas Caswell wrote:
> To reiterate what Ralf said, the possibility of Python going to a faster
> cadence was one of the things on our mind when drafting NEP 29 (see
> https://numpy.org/neps/nep-0029-deprecation_policy.html#n-minor-versions-of-python
> for why did
To reiterate what Ralf said, the possibility of Python going to a faster
cadence was one of the things on our mind when drafting NEP 29 (see
https://numpy.org/neps/nep-0029-deprecation_policy.html#n-minor-versions-of-python
for why did not go with a fixed number of versions) because the reality of
On Tue, May 24, 2022 at 3:24 PM Ewout ter Hoeven <
e.m.terhoe...@student.tudelft.nl> wrote:
> Personally I would be in favor of updating NEP 29 to a support timespan in
> which at most 3 (minor) Python versions are supported. The development of
> Python is still at a high pace and NumPy is a high
