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GeezerVison is showing github.com — Keep the CI matplotlib pick compatible with the numpy pick by eriknw · Pull Request #621 · python-graphblas/python-graphblas Conversation
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Stacked on #620. The overnight matrix produced the post-restack wave's first two failures, both identical: The random dependency picker chose numpy 1.24 while the notebooks task installs matplotlib unpinned; matplotlib 3.11.0's runtime check requires numpy >=1.25 but its conda-forge metadata does not carry that floor, so the solver pairs them and the job dies at import. Not a code bug in either PR; any rung can draw this combination in the notebooks lane. Same class and fix shape as the existing networkx and awkward pick constraints ( Gates: full pinned suite 1114 passed / 145 skipped; pre-commit all hooks pass.
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The overnight matrix produced the stack's first two post-restack failures, both the same one line: the notebooks task on macos-latest and windows-latest picked numpy 1.24 while installing matplotlib unpinned, and matplotlib 3.11.0's runtime check requires numpy >=1.25. Its conda-forge metadata does not carry that floor, so the solver pairs them happily and the notebooks die at import. Same class and same fix shape as the networkx and awkward pick constraints: the version picker now emits mplver, a bare ceiling of <3.11 whenever the numpy pick sits under 1.25 and empty otherwise, the notebooks install line consumes it, and validate() checks the pairing. The --validate stress test passes 160000 combos with zero failures, and both emission cases are confirmed by running the picker.
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