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base repository: numpy/numpy
base: 26e8185
head repository: numpy/numpy
compare: b832a09
- 10 commits
- 10 files changed
- 4 contributors
Commits on May 15, 2026
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MAINT: Prepare 2.4.x for further development
- Create 2.4.6-notes.rst - Update release.rst - Update pyproject.toml [skip CI]
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Commits on May 16, 2026
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Merge pull request #31444 from charris/begin-2.4.6
MAINT: Prepare 2.4.x for further development
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Commits on May 17, 2026
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BUG: Fix regression in
arr.conj()I'll make these helpers static-inline functions on main. Unfortunately, this doesn't just cause wrong promotion for bool->uint8 in `arr.conj()`, but it also leads to all other non-complex types returning unnecessary copies which seems like a pretty unfortunate regression, even if it might not be very visible in practice. I am suspecting we may need a 2.4.6 for this :(
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Merge pull request #31453 from seberg/issue-31452
BUG: Fix regression in ``arr.conj()``
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Commits on May 18, 2026
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BUG:
np.linalg.svd(..., hermitian=True)returns non-unitaryvh(#……31347) * Explicitly remove 0 from eigenvalue signs to ensure that vh is unitary. * Add Hermitian SVD test that has 0 as a singular value.
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Merge pull request #31459 from charris/backport-31347
BUG: `np.linalg.svd(..., hermitian=True)` returns non-unitary `vh` (#31347)
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REL: Prepare for the NumPy 2.4.6 release
- Create 2.4.6-changelog.rst - Update 2.4.5-notes.rst [skip actions] [skip azp]
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Merge pull request #31462 from charris/prepare-2.4.6
REL: Prepare for the NumPy 2.4.6 release
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