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* DOC: Changed the example for modifying the shape without modifying the initial object
* DOC: Removed the example for directly assigning a tuple to the shape attribute of a numpy array
* DOC: Re-added note about copying data when reshaping an array to numpy.reshape docs
* DOC: reformat for linting
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Co-authored-by: Jory Klaverstijn <j.klaverstijn@student.rug.nl>
Co-authored-by: Matti Picus <matti.picus@gmail.com>
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numpy/dependabot/github_actions/ossf/scorecard-action-2.1.3
MAINT: Bump ossf/scorecard-action from 2.1.2 to 2.1.3
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Bumps [ossf/scorecard-action](https://github.com/ossf/scorecard-action) from 2.1.2 to 2.1.3.
- [Release notes](https://github.com/ossf/scorecard-action/releases)
- [Changelog](https://github.com/ossf/scorecard-action/blob/main/RELEASE.md)
- [Commits](https://github.com/ossf/scorecard-action/compare/e38b1902ae4f44df626f11ba0734b14fb91f8f86...80e868c13c90f172d68d1f4501dee99e2479f7af)
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updated-dependencies:
- dependency-name: ossf/scorecard-action
dependency-type: direct:production
update-type: version-update:semver-patch
...
Signed-off-by: dependabot[bot] <support@github.com>
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MAINT: use PyArray_ClearBuffer in PyArray_FillWithScalar
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DEP: remove deprecated `numpy.dual` module
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It has been deprecated since numpy 1.20, and code search engines
don't turn up a reason to keep this around.
[skip actions] [skip cirrus]
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Updated the dot function C-API so that it now calls `np.multiply` with `out=` and returns it on branch of the function where the correct behaviour was not in place. Added two tests regarding this issue.
Closes #21081.
Co-authored-by: Sebastian Berg <sebastian@sipsolutions.net>
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DOC: Fix a wrong format of reference
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MAINT: Fix missing asterisk
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numpy/dependabot/github_actions/github/codeql-action-2.2.9
MAINT: Bump github/codeql-action from 2.2.8 to 2.2.9
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Bumps [github/codeql-action](https://github.com/github/codeql-action) from 2.2.8 to 2.2.9.
- [Release notes](https://github.com/github/codeql-action/releases)
- [Changelog](https://github.com/github/codeql-action/blob/main/CHANGELOG.md)
- [Commits](https://github.com/github/codeql-action/compare/67a35a08586135a9573f4327e904ecbf517a882d...04df1262e6247151b5ac09cd2c303ac36ad3f62b)
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updated-dependencies:
- dependency-name: github/codeql-action
dependency-type: direct:production
update-type: version-update:semver-patch
...
Signed-off-by: dependabot[bot] <support@github.com>
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PyArary to PyArray
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MAINT: Fix ReDOS vulnerability in crackfortran.py
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My first replacement regex would have failed to match
cases like '@)@bind foo bar baz@(@@)@' which should
apparently be matched.
Added a test to make sure the regex does this.
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Revert "ENH: Enabled the use of numpy.vectorize as a decorator"
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DOC: typo, fixed "Howeve" to "However" [skip ci]
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BUG: in the fastest path form ufunc.at, properly increment args[2]
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* BUILD: add ci run after merge for coverage
* Apply suggestions from code review
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Co-authored-by: Sebastian Berg <sebastian@sipsolutions.net>
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TST: Fix failing test (introduced deprecation after written)
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ENH: Add support for inplace matrix multiplication
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It appears that assertion is not true for bad __array_ufunc__
or similar implementations. And we have at least one test that runs
into it.
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In theory, an object matmul could be caught here, but lets assume
that doesn't happen...
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This uses the `axes` argument. Arguably the most correct version since
we use the full ufunc machinery, so we can't mess up with random conversions
(which the test suite actually did notice, at least for an array subclass).
OTOH, for now the errors are ridiculously unhelpful, some of which could
be fixed in the gufunc code (at least made _better_).
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In principle, this is probably still not 100% correct always since
we convert the the other object to an array upfront (to get the
error). But the alternative solution using `axes=` seems tricky
as well...
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Add special casing for `1d @ 1d` and `2d @ 1d` ops.
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array-api
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CI: Ensure coverage is run for merges
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Recently, coverage has been starting to pile up bad "changed files"
that didn't actually change. For now it was a minor nuisance but this
will just increase.
We could probably just run this every few days also, coverage doesn't
change too quickly. But it needs to run on merges regularly.
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MAINT: Stop dependabot docker checks.
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Docker related files have been removed from numpy.
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