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Pin Numpy < 2 in requirements #1012
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We have compiled extensions that are built against the Numpy C API. The Numpy transition guide for developers of downstream packages[1] encourages us to put in this pin until we have wheels built against the newer version, which is not expected to be fully ABI compatible (but extensions built against Numpy 2 _should_ work with older versions of Numpy). Note that this won't prevent package managers from resolving _older_ versions of rustworkx (which don't have the pin) along with Numpy 2, but there's not a vast amount we can do about that now. Co-authored-by: Jake Lishman <jake.lishman@ibm.com>
IvanIsCoding
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LGTM
Pull Request Test Coverage Report for Build 6580899183
💛 - Coveralls |
mtreinish
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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
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Apr 27, 2024
* Relax numpy upper version cap 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. * Handle new __array__ API in numpy 2.0 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. * Fix __array__ stubs * Update src/iterators.rs * Pin ruff to 0.4.1 --------- Co-authored-by: Ivan Carvalho <8753214+IvanIsCoding@users.noreply.github.com>
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We have compiled extensions that are built against the Numpy C API. The Numpy transition guide for developers of downstream packages[1] encourages us to put in this pin until we have wheels built against the newer version, which is not expected to be fully ABI compatible (but extensions built against Numpy 2 should work with older versions of Numpy).
Note that this won't prevent package managers from resolving older versions of rustworkx (which don't have the pin) along with Numpy 2, but there's not a vast amount we can do about that now.