Update spack-packages (#82; cherry-pick upstream Spack package updates); pin py-pandas-datareader - #2114
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climbfuji merged 5 commits intoSep 4, 2026
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climbfuji
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Sep 3, 2026
…github.com/climbfuji/spack-stack into feature/matt-cherry-pick-upstream-packages
mathomp4
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Sep 3, 2026
rickgrubin-noaa
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climbfuji
enabled auto-merge (squash)
September 3, 2026 19:13
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The last CI test failed because the runner ran out of disk space. It made it all the way through concretizing and build the environment, then it failed during the deploy step (i.e. from the binary cache). See https://github.com/JCSDA/spack-stack/actions/runs/33795115390/job/100780828622?pr=2114 I'll merge this anyway, followed by the two EPIC updates that don't affect CI. Then I'll try to free up some space on the runner. |
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I removed the old build cache (spack v0.23 = spack-stack versions 1.x) from the CI runner and moved the new one named |
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Description
This PR updates the submodule pointer for spack-packages for a large number of updates pulled from Spack upstream. See JCSDA/spack-packages#82. One additional package needs to be pinned at the version that is currently being used in spack-stack develop,
py-pandas-datareader@0.10.0, because of apy-setuptoolsincompatibility. This is the same reason why many other packages inconfigs/common/packages.yamlare pinned to older versions, starting frompy-cfparser.The spack-packages submodule update also brings in a recent bug fix for the hdf5 Fortran interface, see JCSDA/spack-packages#84.
This pull request does not yet update to Python 3.13 - this will be a follow-up pull request that will also undo the
py-pandas-datareaderpinning.Dependencies
Issues addressed
Working toward #887
Applications affected
None. No version changes here for the packages we care about and pin in
configs/common/packages.yaml.Systems affected
None
Testing
gcc@14.2.1Checklist
All necessary updates to the documentation (spack-stack wiki) will be made when this PR is merged