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Bumps [hypothesis](https://github.com/HypothesisWorks/hypothesis) from 6.21.1 to 6.21.6.
- [Release notes](https://github.com/HypothesisWorks/hypothesis/releases)
- [Commits](https://github.com/HypothesisWorks/hypothesis/compare/hypothesis-python-6.21.1...hypothesis-python-6.21.6)
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updated-dependencies:
- dependency-name: hypothesis
dependency-type: direct:production
update-type: version-update:semver-patch
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Signed-off-by: dependabot[bot] <support@github.com>
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DOC: Fixed refguide errors for basics.creation.rst
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ENH: Add a typing protocol for representing nested sequences
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BUG,DOC: Ignore upcoming_changes from refguide
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BUG: core: Fix *_like strides for str and bytes dtype.
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When a user passed a noncontiguous array to empty_like (or any other _like
function) with dtype=str or dtype=bytes, the returned array would have
strides that were all 0, even though the data type was 'U1' or 'S1'.
The problem was in the C code in the function PyArray_NewLikeArrayWithShape.
Because the default order is "keep", the branch with the comment
/* KEEPORDER needs some analysis of the strides */ was taken. That branch
uses the itemsize (i.e. dtype->elsize) of the requested dtype, but for str
or bytes, that itemsize is 0, so the computed strides end up being 0. It
is in the subsequent call to PyArray_NewFromDescr_int that the itemsize is
updated to be nonzero.
The fix is to use the same check for str or bytes that is used in
PyArray_NewFromDescr_int in PyArray_NewLikeArrayWithShape to figure out
the itemsize when computing the strides in the KEEPORDER branch.
Closes gh-19860.
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ENH: Add annotations for `np.linalg`
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Whether an array of a `floating` or `complexfloating` dtype is returned depends on the values within in the supplied matrix.
Co-Authored-By: Kevin Sheppard <bashtage@users.noreply.github.com>
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Added hyperlink on numpy logo
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TST: Make this sysconfig handling a bit more portable
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In particular this supports Pyston, which has an additional
format field in these path schemes. Instead of manually
specifying which fields we think exist, do what I assume is the
intention of using the default field values for everything
except for the few that we want to override.
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DOC: Added missing C-API functions
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Co-authored-by: Melissa Weber Mendonça <melissawm@gmail.com>
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1. PyArray_CopyObject
2. PyArray_MapIterArray
3. PyArray_MapIterSwapAxes
4. PyArray_MapIterNext
5. PyArray_MapIterArrayCopyIfOverlap
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DOC: Moved NumPy Internals to Under-the-hood documentation for developers
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MAINT: Use SHA-256 instead of SHA-1
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While the use of SHA-1 here hardly poses any risks, its use
will eventually be prohibited globally in FIPS-compliant operating
systems such as RHEL, and I don't see any downsides in moving away
from using it.
Signed-off-by: Nikola Forró <nforro@redhat.com>
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DOC: Fix the reported module names of objects in the `numpy.typing` API
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BUG: ensure np.median does not drop subclass for NaN result.
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Currently, np.median is almost completely safe for subclasses, except
if the result is NaN. In that case, it assumes the result is a scalar
and substitutes a NaN with the right dtype. This PR fixes that, since
subclasses like astropy's Quantity generally use array scalars to
preserve subclass information such as the unit.
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DOC: Fix typo in upcoming changes filename
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BUG: Fix `nanpercentile` ignoring the dtype of all-nan arrays
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Co-Authored-By: Charles Harris <charlesr.harris@gmail.com>
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Parametrize w.r.t. the axis, array dimensionality and dtype
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the dtype for all-nan arrays
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DOC: Small fixups for the release walkthrough
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Silence CI failures due to small rst issues.
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MAINT: Bump sphinx from 4.1.2 to 4.2.0
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Bumps [sphinx](https://github.com/sphinx-doc/sphinx) from 4.1.2 to 4.2.0.
- [Release notes](https://github.com/sphinx-doc/sphinx/releases)
- [Changelog](https://github.com/sphinx-doc/sphinx/blob/4.x/CHANGES)
- [Commits](https://github.com/sphinx-doc/sphinx/compare/v4.1.2...v4.2.0)
---
updated-dependencies:
- dependency-name: sphinx
dependency-type: direct:production
update-type: version-update:semver-minor
...
Signed-off-by: dependabot[bot] <support@github.com>
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MAINT: Bump hypothesis from 6.18.0 to 6.21.1
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Bumps [hypothesis](https://github.com/HypothesisWorks/hypothesis) from 6.18.0 to 6.21.1.
- [Release notes](https://github.com/HypothesisWorks/hypothesis/releases)
- [Commits](https://github.com/HypothesisWorks/hypothesis/compare/hypothesis-python-6.18.0...hypothesis-python-6.21.1)
---
updated-dependencies:
- dependency-name: hypothesis
dependency-type: direct:production
update-type: version-update:semver-minor
...
Signed-off-by: dependabot[bot] <support@github.com>
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DOC: Add BRANCH_WALKTHROUGH
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Add a walkthrough for making a new maintenance branch, command
by command.
[skip ci]
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DOC: Update RELEASE_WALKTHROUGH
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