py-scipy: add v1.14.0 #44967
py-scipy: add v1.14.0 #44967
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I know we had this problem before, but I don't remember how we solved it. |
NumPy supports it already; the
The libraries and headers are in a system location; they'll be on the search path even when you're using compilers other than Apple Clang. Versions are directly tied to macOS version: on macOS >=13.3 the new Accelerate is always available, and it provides a LAPACK 3.9 API. In macOS 15.0 that will be upgraded to LAPACK 3.11. numpy/numpy#24053 may be instructive to look at. The main problem for Spack may be symbol naming; the symbol suffixes to access the updated library at |
See #42213 (comment). The problem was a too old version of |
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Okay, hoping the last commit fixes this. Spack is using a newer version of setuptools to build pythran (as instructed). However, we have no constraints on the version of setuptools present at run-time. I don't know why an older version was chosen, but the latest commit should force a newer version to be used at run-time as well. I didn't realize the version of setuptools present at run-time mattered for pythran but it seems that that's the case. |
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LGTM, seems ready to merge.
I didn't realize the version of setuptools present at run-time mattered for pythran but it seems that that's the case.
It seems odd indeed. It may not be inside pythran itself, but rather than setuptools is somehow used in however Spack has implemented entrypoint support for Python.
https://github.com/scipy/scipy/releases/tag/v1.14.0
@rgommers I would be interested in getting Accelerate working in the future. Spack only supports a single BLAS/LAPACK library in the DAG at a time. If I understand correctly, SciPy supports Accelerate now, but NumPy still doesn't? Are there plans for NumPy to support Accelerate? I don't even know where to start with adding an Accelerate package to Spack, not sure if you know where libraries live, how to check what versions are present, how those versions map to BLAS/LAPACK API versions, etc.