Relax numpy upper version cap #1172
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In Qiskit#1012 we added an upper version cap to numpy to prevent it from installing numpy 2.0 before we confirmed that rustworkx was compatible with it. Now that numpy 2.0.0rc1 has been released we're able to confirm that rustworkx works fine with numpy 2.0. This commit raises the upper bound on the numpy version to < 3 to enable installing numpy 2.0 with rustworkx.
IvanIsCoding
approved these changes
Apr 24, 2024
While we didn't have any test coverage for this looking at the numpy 2.0 migration guide one thing we'll have to handle is the new copy kwarg on array: https://numpy.org/devdocs/numpy_2_0_migration_guide.html#adapting-to-changes-in-the-copy-keyword This commit updates the sole use of __array__ we have on custom sequence return types so that if copy=False is passed in we raise a ValueError. Additionally, the dtype handling is done directly in the rustworkx code now to ensure we don't have any issues with numpy 2.0.
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In talking with @jakelishman (who handled the numpy 2.0 compatibility for Qiskit) he pointed out that the |
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In #1012 we added an upper version cap to numpy to prevent it from installing numpy 2.0 before we confirmed that rustworkx was compatible with it. Now that numpy 2.0.0rc1 has been released we're able to confirm that rustworkx works fine with numpy 2.0. This commit raises the upper bound on the numpy version to < 3 to enable installing numpy 2.0 with rustworkx.