chore(deps): bump numpy from 1.26.4 to 2.1.2#189
chore(deps): bump numpy from 1.26.4 to 2.1.2#189dependabot[bot] wants to merge 2 commits intomainfrom
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File: requirements.txt
Suggestions for Enhancements:
-
Version Compatibility Check:
- Ensure that the new version of
numpy(2.1.2) is compatible with other dependencies, especiallyscikit-learnandscipy, as they often rely on specific versions ofnumpy.
- Ensure that the new version of
-
Commented Dependency:
- The
scipydependency is commented out. If it is not needed, consider removing it to keep the file clean. If it is needed, ensure its version is compatible withnumpy2.1.2.
- The
Code Example for Compatibility Check:
import numpy as np
import sklearn
import scipy
print("Numpy version:", np.__version__)
print("Scikit-learn version:", sklearn.__version__)
print("Scipy version:", scipy.__version__)Comments:
- The update from
numpy1.26.4 to 2.1.2 is a major version change, which may include breaking changes. It is crucial to run tests to ensure that the application functions correctly with the new version. - No issues were found in the modified lines, but ensure thorough testing is conducted.
> gpt-4o [pr | 0]
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Bumps [numpy](https://github.com/numpy/numpy) from 1.26.4 to 2.1.2. - [Release notes](https://github.com/numpy/numpy/releases) - [Changelog](https://github.com/numpy/numpy/blob/main/doc/RELEASE_WALKTHROUGH.rst) - [Commits](numpy/numpy@v1.26.4...v2.1.2) --- updated-dependencies: - dependency-name: numpy dependency-type: direct:production update-type: version-update:semver-major ... Signed-off-by: dependabot[bot] <support@github.com>
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/code pr |
saidsef
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This PR updates NumPy from version 1.26.4 to 2.1.2, which is a major version bump. Here's my review:
- This is a major version upgrade (1.x to 2.x) which may introduce breaking changes
- NumPy 2.0+ includes significant changes in array behaviour and API modifications
- Could affect compatibility with scikit-learn 1.5.2 which is also in requirements.txt
Recommendations:
- Test thoroughly as NumPy 2.x has backwards-incompatible changes
- Verify scikit-learn 1.5.2 compatibility with NumPy 2.1.2
- Consider reviewing the NumPy 2.0 migration guide before merging
The change itself is straightforward, but given the major version bump, this requires careful testing before deployment.
> claude-3-5-sonnet-20241022 [pr | 1]
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A newer version of numpy exists, but since this PR has been edited by someone other than Dependabot I haven't updated it. You'll get a PR for the updated version as normal once this PR is merged. |
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@dependabot recreate |
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Superseded by #198. |
Bumps numpy from 1.26.4 to 2.1.2.
Release notes
Sourced from numpy's releases.
... (truncated)
Commits
f5afe3dMerge pull request #27507 from charris/prepare-2.1.26b9ef48REL: Prepare for the NumPy 2.1.2 release [wheel build]6d85a24MAINT: Pin setuptools for Python < 3.12 [wheel build]7f327d8Merge pull request #27506 from charris/backport-2750309e9cd9BUG: avoid segfault on bad arguments in ndarray.array_function06b4793Merge pull request #27501 from charris/backport-27495364efb5MAINT: Bump pypa/cibuildwheel from 2.21.1 to 2.21.2df0e261Merge pull request #27484 from ngoldbaum/use-weak-defaultfa61bc6Merge pull request #27481 from charris/backport-27472d6d06aeMerge pull request #27480 from charris/backport-27475You can trigger a rebase of this PR by commenting
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