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Update numpy requirement from <1.21.5,>=1.21.2 to >=1.21.2,<1.24.1 #108

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@dependabot dependabot bot commented on behalf of github Dec 19, 2022

Updates the requirements on numpy to permit the latest version.

Release notes

Sourced from numpy's releases.

v1.24.0

NumPy 1.24 Release Notes

The NumPy 1.24.0 release continues the ongoing work to improve the handling and promotion of dtypes, increase the execution speed, and clarify the documentation. There are also a large number of new and expired deprecations due to changes in promotion and cleanups. This might be called a deprecation release. Highlights are

  • Many new deprecations, check them out.
  • Many expired deprecations,
  • New F2PY features and fixes.
  • New "dtype" and "casting" keywords for stacking functions.

See below for the details,

This release supports Python versions 3.8-3.11.

Deprecations

Deprecate fastCopyAndTranspose and PyArray_CopyAndTranspose

The numpy.fastCopyAndTranspose function has been deprecated. Use the corresponding copy and transpose methods directly:

arr.T.copy()

The underlying C function PyArray_CopyAndTranspose has also been deprecated from the NumPy C-API.

(gh-22313)

Conversion of out-of-bound Python integers

Attempting a conversion from a Python integer to a NumPy value will now always check whether the result can be represented by NumPy. This means the following examples will fail in the future and give a DeprecationWarning now:

np.uint8(-1)
np.array([3000], dtype=np.int8)

Many of these did succeed before. Such code was mainly useful for unsigned integers with negative values such as np.uint8(-1) giving np.iinfo(np.uint8).max.

Note that conversion between NumPy integers is unaffected, so that np.array(-1).astype(np.uint8) continues to work and use C integer overflow logic. For negative values, it will also work to view the array: np.array(-1, dtype=np.int8).view(np.uint8). In some cases,

... (truncated)

Commits
  • 8cec820 Merge pull request #22813 from charris/prepare-1.24.0-release
  • 8d33e68 REL: Prepare for the NumPy 1.24.0 release.
  • 5ac09da Merge pull request #22815 from charris/backport-22814
  • df2d26f BLD: use newer version of delocate
  • e18104e Merge pull request #22805 from charris/backport-22804
  • 6d44424 REV: revert change to numpyconfig.h for sizeof(type) hardcoding on macOS
  • c484593 Merge pull request #22795 from charris/backport-22791
  • 0904c01 Change argument to npy_floatstatus_..._barrier() functions to ensure it
  • 34653f9 Merge pull request #22793 from charris/backport-22789
  • 21f7096 BUG: Fix infinite recursion in longdouble/large integer scalar ops
  • Additional commits viewable in compare view

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Updates the requirements on [numpy](https://github.com/numpy/numpy) to permit the latest version.
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/RELEASE_WALKTHROUGH.rst)
- [Commits](numpy/numpy@v1.21.2...v1.24.0)

---
updated-dependencies:
- dependency-name: numpy
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot bot added the dependencies Pull requests that update a dependency file label Dec 19, 2022
@MAfarrag MAfarrag closed this Dec 26, 2022
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dependabot bot commented on behalf of github Dec 26, 2022

OK, I won't notify you again about this release, but will get in touch when a new version is available. If you'd rather skip all updates until the next major or minor version, let me know by commenting @dependabot ignore this major version or @dependabot ignore this minor version. You can also ignore all major, minor, or patch releases for a dependency by adding an ignore condition with the desired update_types to your config file.

If you change your mind, just re-open this PR and I'll resolve any conflicts on it.

@dependabot dependabot bot deleted the dependabot/pip/numpy-gte-1.21.2-and-lt-1.24.1 branch December 26, 2022 02:31
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