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The numpy 2.4.6 in the x86_64/generic SciPy-bundle has an x86-64-v2 baseline and refuses to import on CPUs that lack it. Rebuild it with the cpu-baseline hook in place, for `x86_64/generic` only.
The rebuild needs numpy built with cpu-baseline=none on x86_64/generic. easybuild-easyblocks#4277 does that in the NumPy easyblock when optarch is GENERIC on x86-64. Pull that easyblock in with include-easyblocks-from-commit until it is in an EasyBuild release. This drops the dependence on the software-layer-scripts hook.
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Rebuild of the 2026.06
x86_64/genericSciPy-bundle with the NumPy easyblock from easybuilders/easybuild-easyblocks#4277.numpy 2.4 raised its default x86-64 baseline to x86-64-v2, so the numpy 2.4.6 in the generic SciPy-bundle-2026.05-gfbf-2026.1 refuses to import on CPUs that only have x86-64:
With
--optarch=GENERICon x86-64, the easyblock in #4277 builds numpy with-Dcpu-baseline=none, and the dispatched x86-64-v2/v3/v4 kernels are still picked at runtime.Until #4277 is in an EasyBuild release, this easystack takes the easyblock from its commit (
include-easyblocks-from-commit: 2175241d6aac881dfb3589a07e27e811d332c5c3) and rebuilds the bundle with the easyconfig that is deployed now (from-commit: 3dd9051).It should be built with
arch:x86_64/genericonly.The older generic SciPy-bundles in 2023.06 and 2025.06 have an SSE3 baseline.
SSE3 is on every x86-64 CPU since 2005 and numpy checks for it at import, so I don't think those are worth rebuilding; once #4277 is released, every later generic build gets the same baseline.