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

build(deps): bump numpy from 1.22.4 to 1.23.0 in /requirements #660

Merged
merged 1 commit into from
Jun 24, 2022

Conversation

dependabot[bot]
Copy link
Contributor

@dependabot dependabot bot commented on behalf of github Jun 23, 2022

Bumps numpy from 1.22.4 to 1.23.0.

Release notes

Sourced from numpy's releases.

v1.23.0

NumPy 1.23.0 Release Notes

The NumPy 1.23.0 release continues the ongoing work to improve the handling and promotion of dtypes, increase the execution speed, clarify the documentation, and expire old deprecations. The highlights are:

  • Implementation of loadtxt in C, greatly improving its performance.
  • Exposing DLPack at the Python level for easy data exchange.
  • Changes to the promotion and comparisons of structured dtypes.
  • Improvements to f2py.

See below for the details,

New functions

  • A masked array specialization of ndenumerate is now available as numpy.ma.ndenumerate. It provides an alternative to numpy.ndenumerate and skips masked values by default.

    (gh-20020)

  • numpy.from_dlpack has been added to allow easy exchange of data using the DLPack protocol. It accepts Python objects that implement the __dlpack__ and __dlpack_device__ methods and returns a ndarray object which is generally the view of the data of the input object.

    (gh-21145)

Deprecations

  • Setting __array_finalize__ to None is deprecated. It must now be a method and may wish to call super().__array_finalize__(obj) after checking for None or if the NumPy version is sufficiently new.

    (gh-20766)

  • Using axis=32 (axis=np.MAXDIMS) in many cases had the same meaning as axis=None. This is deprecated and axis=None must be used instead.

    (gh-20920)

  • The hook function PyDataMem_SetEventHook has been deprecated and the demonstration of its use in tool/allocation_tracking has been removed. The ability to track allocations is now built-in to python via tracemalloc.

... (truncated)

Commits
  • 54c52f1 Merge pull request #21825 from charris/prepare-for-1.23.0-2
  • 3676325 REL: Prepare for the NumPy 1.23.0 release (2)
  • 5773033 Merge pull request #21824 from charris/test-anaconda-uploading
  • 3e6ea37 MAINT: Try fixing broken Anaconda uploads.
  • e12270a Merge pull request #21811 from charris/prepare-for-1.23.0
  • 6da3cd7 REL: Prepare for the NumPy 1.23.0 release
  • e6a2125 Merge pull request #21810 from charris/backport-21794
  • e54b11b Merge pull request #21809 from charris/backport-21771
  • 552bad6 BUG: lib: A loadtxt error message had two values reversed.
  • 0f2c736 MAINT: Add a check of the return value of PyMem_Calloc().
  • Additional commits viewable in compare view

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 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)

@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update Python code labels Jun 23, 2022
@deprecated-napari-hub-preview-bot
Copy link

deprecated-napari-hub-preview-bot bot commented Jun 23, 2022

Preview page for your plugin is ready here:
https://preview.napari-hub.org/4DNucleome/PartSeg/660
Updated: 2022-06-24T09:06:04.092332

Bumps [numpy](https://github.com/numpy/numpy) from 1.22.4 to 1.23.0.
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/HOWTO_RELEASE.rst)
- [Commits](numpy/numpy@v1.22.4...v1.23.0)

---
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 force-pushed the dependabot/pip/requirements/develop/numpy-1.23.0 branch from 67d7050 to de8efc1 Compare June 24, 2022 08:59
@Czaki Czaki merged commit 13b151d into develop Jun 24, 2022
@Czaki Czaki deleted the dependabot/pip/requirements/develop/numpy-1.23.0 branch June 24, 2022 10:17
@Czaki Czaki added this to the v0.14.3 milestone Jul 13, 2022
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