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pyoptsparse v2.11.0 #47
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…nda-forge-pinning 2024.04.25.12.04.30
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…nda-forge-pinning 2024.04.25.12.04.30
Hmm so I didn't realize we require >3.8, which IMO is a little counter-intuitive. I personally don't think the minimum support/tested versions should be specified as minimum build/run requirements, especially for something like python where 3.8 has yet to reach EOL. I kind of just ignored mdolab/pyoptsparse#388 without really thinking about its consequences. In general, I think these version specifications should not really be in setup.py or meta.yaml, since there's nothing wrong with running 3.8 and it should work. We can choose to not test or officially support such versions, but this is a little limiting. Also, I don't think we'll want to do this across the MACH stack with all the setup.py files. Maybe something to discuss with the lab first and then come back to this? |
I see your point, but we had quite long conversations internally and afaik we are going towards enforcing minimum requirements (hence the new minor version) across the whole stack. Maybe @eirikurj can chime in, or we can have an offline conversation. |
I see that we adopted SPEC 0 for the lab, which I'm okay with. But then, shouldn't we be dropping py3.9 support also? See diagram here. Anyway, we can discuss separately, I have no issues with this PR otherwise. Given that 2.11.0 has been released with these stated minimum versions, this PR looks good. |
Good catch - we have a set of ad-hoc exemptions on SPEC 0. In this case we will keep supporting py39 because some of the HPC systems we have access to still use it as "latest" version available. |
Just to follow up briefly, as @marcomangano mentioned, we decided to deviate from SPEC 0 for python as we thought it was too limiting. For stable python specifically, we select the oldest of:
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It is very likely that the current package version for this feedstock is out of date.
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