With regards to scheduling wheel builds (and this may already be completely
obvious), but numpy should consider a scheduled build time that comes
reasonably before scipy's scheduled build time so that there is a quicker
turn-around time with possible breaking changes. If you schedule the numpy
wheel builds to be after scipy's, then it could be a whole week before
you'd find out about any breakages.

Cheers!
Ben Root


On Wed, Aug 16, 2023 at 7:12 AM Ralf Gommers <ralf.gomm...@gmail.com> wrote:

>
>
> On Wed, Aug 16, 2023 at 5:01 AM Andrew Nelson <andyf...@gmail.com> wrote:
>
>>
>> On Wed, 16 Aug 2023 at 10:51, Andrew Nelson <andyf...@gmail.com> wrote:
>>
>>> There's a scipy issue on this that discusses how to reduce usage,
>>> https://github.com/scipy/scipy/issues/19006.
>>>
>>> Main points:
>>>
>>> - at the moment CI is run on PR and on Merge. Convert to only running on
>>> PR commits. I've just submitted a PR to do this for numpy.
>>>
>>
> Thanks! We shouldn't be running any CI on merge commits, other than for
> building and deploying new versions of the docs to
> https://numpy.org/devdocs/.
>
>
>> - add a manual trigger. Simple to achieve, but requires input from a
>>> maintainer.
>>>
>>
> I'd like to avoid that, things that require more actions from maintainers
> tend to be counterproductive.
>
>
>> - reduce wheel build frequency. At the moment I believe they're made
>>> every week. However, that decision has to factor in the increased frequency
>>> that may be desired as numpy2.0 is worked on.
>>>
>>
> We're doing the x86-64 wheel builds in GHA daily now, which is necessary.
> The aarch64/arm64 ones can be done less frequently, but once a week seems
> good at least in the run-up to 2.0.
>
>
>> Also, it's significantly more expensive to test on macOS M1 compared to
>> linux_aarch64. The latter isn't tested on cirrus. However, you could use
>> linux_aarch64 as a proxy for general ARM testing, and only run macOS when
>> necessary.
>>
>
> That sounds like a good idea to me. Or at least checking linux_aarch64
> first. I like how you configured that for SciPy.
>
> Also, now that we're on the topic of CI: I opened
> https://github.com/numpy/numpy/issues/24410 for a larger overhaul of our
> GitHub Actions jobs. I put that on the agenda for today's community
> meeting, but folks interested in CI may also want to comment on that issue.
>
> Cheers,
> Ralf
>
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