Build Linux and macOS binary wheels#4248
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| cd dolfinx && git clean -fdx && cd ../ | ||
| python -m venv venv-test | ||
| source venv-test/bin/activate | ||
| PIP_EXTRA_INDEX_URL="file://${GITHUB_WORKSPACE}/simple" pip install openmpi fenics-dolfinx[test] |
| cd dolfinx && git clean -fdx && cd ../ | ||
| python -m venv venv-test | ||
| source venv-test/bin/activate | ||
| PIP_EXTRA_INDEX_URL="file://${GITHUB_WORKSPACE}/simple" pip install openmpi fenics-dolfinx[test] |
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These wheels are compatible with Python 3.12+ via abi3 and contain SuperLU_DIST and Scotch (no PETSc).
No MPI libraries or executables are included - on Linux users can use any MPICH-like ABI and on macOS any OpenMPI ABI.
Example of use:
All tests pass.
This can be streamlined further once MPI5 ABI is available and we can produce one wheel per platform.
In the short term we can setup our own repo at fenicsproject.org and advertise through the README, and then push to pypi.org for 0.12 if we're happy.
Probably won't go for Windows too much maintenance - let's improve the conda packages further.
Artifacts here:
https://github.com/FEniCS/dolfinx/actions/runs/28248343437