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chore(deps): bump numpy from 1.26.4 to 2.2.1 #204
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Bumps [numpy](https://github.com/numpy/numpy) from 1.26.4 to 2.2.1. - [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...v2.2.1) --- updated-dependencies: - dependency-name: numpy dependency-type: direct:production update-type: version-update:semver-major ... Signed-off-by: dependabot[bot] <[email protected]>
Dependency Review✅ No vulnerabilities or license issues or OpenSSF Scorecard issues found.OpenSSF Scorecard
Scanned Files
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@@ -6,7 +6,7 @@ name = "pypi" | |||
[packages] | |||
flask = "==3.1.0" | |||
flask-wtf = "==1.2.2" | |||
numpy = "==2.1.3" | |||
numpy = "==2.2.1" |
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This is a breaking change, further tests required.
/code pr |
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🤖
No response is required as there are no issues or suggestions for the modified lines in the provided patches.
> grok-2-1212 [pr | 0]
/code pr |
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🤖
Review of Pull Request
Patch 1/2: Bump numpy from 1.26.4 to 2.2.1
Summary:
The patch updates the numpy
dependency from version 1.26.4 to 2.2.1 in the Pipfile
and Pipfile.lock
files.
Code Changes:
-
Pipfile:
@@ -6,7 +6,7 @@ name = "pypi" [packages] flask = "==3.1.0" flask-wtf = "==1.2.2" -numpy = "==2.1.3" +numpy = "==2.2.1" prometheus-flask-exporter = "==0.23.1" scikit-learn = "==1.6.0" werkzeug = ">=3.0.3"
-
Pipfile.lock:
The changes involve updating the hashes and version ofnumpy
in the lock file.
Issues:
- The patch appears to be correctly updating the dependencies.
- There are no obvious issues with the code changes.
Suggestions:
- None noted.
Patch 2/2: CI Workflow Trigger
Summary:
The second patch introduces changes to the CI workflow trigger.
Code Changes:
- ci workflow trigger changes: (Not provided in the snippet)
Issues:
- Not enough information is provided in the snippet to assess any issues with this patch.
Suggestions:
- Review the complete changes in the second patch to ensure they are correctly implemented and do not introduce any conflicts or errors.
Conclusion:
The first patch is straightforward and correctly updates the numpy
dependency. The second patch requires further review for its implementation details.
> llama-3.1-sonar-small-128k-chat [pr | 0]
Application ml-classifier-a8bf964-204-pr-reviews has been created. |
Application ml-classifier-a8bf964-204-pr-reviews is in state Running. |
Application ml-classifier-a8bf964-204-pr-reviews is in state Succeeded. |
Application ml-classifier-a8bf964-204-pr-reviews is now running new version of deployments manifests. |
Application ml-classifier-a8bf964-204-pr-reviews has been deleted. |
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A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.1 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
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. |
/code pr |
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🤖
Please reduce the length of the messages or completion.
> gemma2-9b-it [pr | 2]
/code pr |
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🤖
PR Review
Summary
This PR updates the numpy
dependency in the project from version 1.26.4 to 2.2.1, marking a major version change in Pipfile
and further updates requirements.txt
accordingly. It also includes additional updates to Pipfile.lock
and modifies the version of werkzeug
in Pipfile
. CI workflow triggers have also been adjusted.
Detailed Review
-
Pipfile Changes
-
Modification in
numpy
: The version ofnumpy
has been updated to 2.2.1, which aligns with the major update indicated byupdate-type: version-update:semver-major
. -
Modification in
werkzeug
: Updated from>=3.0.3
to>=3.0.6
. Ensure compatibility with this version, especially considering the other dependencies that may depend onwerkzeug
.
-
-
Pipfile.lock Changes
-
The entire
Pipfile.lock
hash has changed, indicating a comprehensive update across several packages beyond justnumpy
. Ensure all updates here are compatible and necessary. -
Click and Jinja2 Updates: Both these libraries have seen a minor version bump. Validate that these changes are non-breaking and align with any usage within the project.
-
Prometheus-client Update: Similarly updated to the latest minor version. Check for potential breaking changes, especially if your project is heavily integrated with Prometheus metrics collection.
-
-
requirements.txt Changes
- Numpy Update: Consistent update to 2.2.1 is reflected here, matching the
Pipfile
.
- Numpy Update: Consistent update to 2.2.1 is reflected here, matching the
-
General Suggestions
-
Testing & Validation: Given the major version bump in
numpy
, it's critical to run comprehensive tests to ensure that this update does not introduce regressions or incompatibilities. -
Dependency Review: Verify if any other dependencies have undergone major updates that could potentially affect backward compatibility.
-
Documentation Update: Consider updating any documentation that might reference dependency versions to ensure it reflects the latest changes.
-
-
Additional Considerations
- CI Workflow: The change in the
.yml
CI workflow indicates possible triggers or pipeline configurations adjustments. Review the CI settings to make sure they are aligned with the new changes and test the CI workflow thoroughly.
- CI Workflow: The change in the
Conclusion
Overall, the updates appear to primarily focus on updating critical dependencies with an emphasis on staying current. Ensure thorough testing is performed, and consider reaching out to the updated dependency maintainers for any notes on breaking changes, specifically for numpy
's major version update.
> microsoft/phi-4 [pr | 1]
Bumps numpy from 1.26.4 to 2.2.1.
Release notes
Sourced from numpy's releases.
... (truncated)
Changelog
Sourced from numpy's changelog.
... (truncated)
Commits
7469245
Merge pull request #28047 from charris/prepare-2.2.1acb051e
REL: Prepare for the NumPy 2.2.1 release [wheel build]28a091a
Merge pull request #28044 from charris/backport-28039723605b
TST: Add test for allowingNone
in operand sequence passed tonditer
554739e
TYP: allowNone
in operand sequence of nditer31bc4c8
Merge pull request #28021 from charris/backport-2802032f52a3
CI: pin scipy-doctest to 1.5.1 (#28020)6219aeb
Merge pull request #28007 from charris/backport-28005eb7071c
Merge pull request #28006 from charris/backport-280034f82c32
BUG: Cython API was missing NPY_UINTP.You can trigger a rebase of this PR by commenting
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