Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Bump numpy from 2.0.1 to 2.2.2 #330

Closed
wants to merge 1 commit into from
Closed

Conversation

dependabot[bot]
Copy link
Contributor

@dependabot dependabot bot commented on behalf of github Jan 24, 2025

Bumps numpy from 2.0.1 to 2.2.2.

Release notes

Sourced from numpy's releases.

2.2.2 (Jan 18, 2025)

NumPy 2.2.2 Release Notes

NumPy 2.2.2 is a patch release that fixes bugs found after the 2.2.1 release. The number of typing fixes/updates is notable. This release supports Python versions 3.10-3.13.

Contributors

A total of 8 people contributed to this release. People with a "+" by their names contributed a patch for the first time.

  • Alicia Boya García +
  • Charles Harris
  • Joren Hammudoglu
  • Kai Germaschewski +
  • Nathan Goldbaum
  • PTUsumit +
  • Rohit Goswami
  • Sebastian Berg

Pull requests merged

A total of 16 pull requests were merged for this release.

  • #28050: MAINT: Prepare 2.2.x for further development
  • #28055: TYP: fix void arrays not accepting str keys in __setitem__
  • #28066: TYP: fix unnecessarily broad integer binop return types (#28065)
  • #28112: TYP: Better ndarray binop return types for float64 &...
  • #28113: TYP: Return the correct bool from issubdtype
  • #28114: TYP: Always accept date[time] in the datetime64 constructor
  • #28120: BUG: Fix auxdata initialization in ufunc slow path
  • #28131: BUG: move reduction initialization to ufunc initialization
  • #28132: TYP: Fix interp to accept and return scalars
  • #28137: BUG: call PyType_Ready in f2py to avoid data races
  • #28145: BUG: remove unnecessary call to PyArray_UpdateFlags
  • #28160: BUG: Avoid data race in PyArray_CheckFromAny_int
  • #28175: BUG: Fix f2py directives and --lower casing
  • #28176: TYP: Fix overlapping overloads issue in 2->1 ufuncs
  • #28177: TYP: preserve shape-type in ndarray.astype()
  • #28178: TYP: Fix missing and spurious top-level exports

Checksums

MD5

749cb2adf8043551aae22bbf0ed3130a  numpy-2.2.2-cp310-cp310-macosx_10_9_x86_64.whl
bc79fa2e44316b7ce9bacb48a993ed91  numpy-2.2.2-cp310-cp310-macosx_11_0_arm64.whl
c6b2caa2bbb645b5950dccb77efb1dbb  numpy-2.2.2-cp310-cp310-macosx_14_0_arm64.whl
8c410efac169af880cacbbac8a731658  numpy-2.2.2-cp310-cp310-macosx_14_0_x86_64.whl

... (truncated)

Changelog

Sourced from numpy's changelog.

This is a walkthrough of the NumPy 2.1.0 release on Linux, modified for building with GitHub Actions and cibuildwheels and uploading to the anaconda.org staging repository for NumPy <https://anaconda.org/multibuild-wheels-staging/numpy>_. The commands can be copied into the command line, but be sure to replace 2.1.0 by the correct version. This should be read together with the :ref:general release guide <prepare_release>.

Facility preparation

Before beginning to make a release, use the requirements/*_requirements.txt files to ensure that you have the needed software. Most software can be installed with pip, but some will require apt-get, dnf, or whatever your system uses for software. You will also need a GitHub personal access token (PAT) to push the documentation. There are a few ways to streamline things:

  • Git can be set up to use a keyring to store your GitHub personal access token. Search online for the details.
  • You can use the keyring app to store the PyPI password for twine. See the online twine documentation for details.

Prior to release

Add/drop Python versions

When adding or dropping Python versions, three files need to be edited:

  • .github/workflows/wheels.yml # for github cibuildwheel
  • tools/ci/cirrus_wheels.yml # for cibuildwheel aarch64/arm64 builds
  • pyproject.toml # for classifier and minimum version check.

Make these changes in an ordinary PR against main and backport if necessary. Add [wheel build] at the end of the title line of the commit summary so that wheel builds will be run to test the changes. We currently release wheels for new Python versions after the first Python rc once manylinux and cibuildwheel support it. For Python 3.11 we were able to release within a week of the rc1 announcement.

Backport pull requests

Changes that have been marked for this release must be backported to the maintenance/2.1.x branch.

Update 2.1.0 milestones

... (truncated)

Commits
  • fd8a68e Merge pull request #28184 from charris/prepare-2.2.2
  • 0d106a5 REL: Prepare for the NumPy 2.2.2 release [wheel build]
  • dfdd35a Merge pull request #28175 from charris/backport-28056
  • e4517a8 Merge pull request #28176 from charris/backport-28168
  • 2c0432b Merge pull request #28178 from charris/backport-28170
  • 2230a08 Merge pull request #28177 from charris/backport-28169
  • b04e32c TYP: Fix missing and spurious top-level exports
  • 6a5f537 TYP: preserve shape-type in ndarray.astype()
  • f782790 TYP: Fix overlapping overloads issue in 2->1 ufuncs
  • a19acf1 BUG: Fix casing for f2py directives
  • Additional commits viewable in compare view

Most Recent Ignore Conditions Applied to This Pull Request
Dependency Name Ignore Conditions
numpy [>= 1.25.a, < 1.26]

Dependabot compatibility score

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.


Dependabot commands and options

You can trigger Dependabot actions by commenting on this PR:

  • @dependabot rebase will rebase this PR
  • @dependabot recreate will recreate this PR, overwriting any edits that have been made to it
  • @dependabot merge will merge this PR after your CI passes on it
  • @dependabot squash and merge will squash and merge this PR after your CI passes on it
  • @dependabot cancel merge will cancel a previously requested merge and block automerging
  • @dependabot reopen will reopen this PR if it is closed
  • @dependabot close will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually
  • @dependabot show <dependency name> ignore conditions will show all of the ignore conditions of the specified dependency
  • @dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)
  • @dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)
  • @dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)

Summary by Sourcery

Update NumPy to version 2.2.2.

Bug Fixes:

  • Fix bugs found after the 2.2.1 release.

Enhancements:

  • Improve typing coverage and fix type-related issues.

Tests:

  • Resolve data race issues in testing infrastructure.

Bumps [numpy](https://github.com/numpy/numpy) from 2.0.1 to 2.2.2.
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/RELEASE_WALKTHROUGH.rst)
- [Commits](numpy/numpy@v2.0.1...v2.2.2)

---
updated-dependencies:
- dependency-name: numpy
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update Python code labels Jan 24, 2025
@dependabot dependabot bot requested a review from a team as a code owner January 24, 2025 17:56
@dependabot dependabot bot requested a review from jsnel January 24, 2025 17:56
Copy link
Contributor

sourcery-ai bot commented Jan 24, 2025

Reviewer's Guide by Sourcery

This pull request bumps the numpy dependency from version 2.0.1 to 2.2.2. This is a dependency update and does not include any code changes.

No diagrams generated as the changes look simple and do not need a visual representation.


Tips and commands

Interacting with Sourcery

  • Trigger a new review: Comment @sourcery-ai review on the pull request.
  • Continue discussions: Reply directly to Sourcery's review comments.
  • Generate a GitHub issue from a review comment: Ask Sourcery to create an
    issue from a review comment by replying to it. You can also reply to a
    review comment with @sourcery-ai issue to create an issue from it.
  • Generate a pull request title: Write @sourcery-ai anywhere in the pull
    request title to generate a title at any time. You can also comment
    @sourcery-ai title on the pull request to (re-)generate the title at any time.
  • Generate a pull request summary: Write @sourcery-ai summary anywhere in
    the pull request body to generate a PR summary at any time exactly where you
    want it. You can also comment @sourcery-ai summary on the pull request to
    (re-)generate the summary at any time.
  • Generate reviewer's guide: Comment @sourcery-ai guide on the pull
    request to (re-)generate the reviewer's guide at any time.
  • Resolve all Sourcery comments: Comment @sourcery-ai resolve on the
    pull request to resolve all Sourcery comments. Useful if you've already
    addressed all the comments and don't want to see them anymore.
  • Dismiss all Sourcery reviews: Comment @sourcery-ai dismiss on the pull
    request to dismiss all existing Sourcery reviews. Especially useful if you
    want to start fresh with a new review - don't forget to comment
    @sourcery-ai review to trigger a new review!
  • Generate a plan of action for an issue: Comment @sourcery-ai plan on
    an issue to generate a plan of action for it.

Customizing Your Experience

Access your dashboard to:

  • Enable or disable review features such as the Sourcery-generated pull request
    summary, the reviewer's guide, and others.
  • Change the review language.
  • Add, remove or edit custom review instructions.
  • Adjust other review settings.

Getting Help

Copy link
Contributor

@sourcery-ai sourcery-ai bot left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

We have skipped reviewing this pull request. It seems to have been created by a bot (hey, dependabot[bot]!). We assume it knows what it's doing!

Copy link

codecov bot commented Jan 24, 2025

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 57.92%. Comparing base (bb362ce) to head (cbd1034).

Additional details and impacted files
@@            Coverage Diff             @@
##             main     #330      +/-   ##
==========================================
- Coverage   58.04%   57.92%   -0.13%     
==========================================
  Files          31       31              
  Lines        1616     1616              
  Branches      213      213              
==========================================
- Hits          938      936       -2     
- Misses        660      661       +1     
- Partials       18       19       +1     

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

Copy link
Contributor Author

dependabot bot commented on behalf of github Feb 14, 2025

Superseded by #332.

@dependabot dependabot bot closed this Feb 14, 2025
@dependabot dependabot bot deleted the dependabot/pip/numpy-2.2.2 branch February 14, 2025 17:15
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
dependencies Pull requests that update a dependency file python Pull requests that update Python code
Projects
None yet
Development

Successfully merging this pull request may close these issues.

1 participant