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Bump the runtime-dependencies group across 1 directory with 5 updates #1551

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Bump the runtime-dependencies group across 1 directory with 5 updates #1551

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@dependabot dependabot bot commented on behalf of github Oct 25, 2024 •
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Bumps the runtime-dependencies group with 5 updates in the / directory:

Package From To
asteval 1.0.3 1.0.5
netcdf4 1.7.1.post2 1.7.2
numpy 2.0.2 2.1.2
pandas 2.2.2 2.2.3
xarray 2024.9.0 2024.10.0

Updates asteval from 1.0.3 to 1.0.5

Release notes

Sourced from asteval's releases.

1.0.5

bugfix:

  • more work on handling errors, including fixing #133 and adding more comprehensive tests for #129 and #132

1.0.4

bugfix:

  • fix error handling that might result in null exception
Commits
  • 8d7326d improve error management; shunt .run() with string to .eval()
  • cc1f757 strengthen tests to assure length of errors, testing both .call() and .run()
  • 36dc5f1 more tests and updates for exception handling
  • 84ab7d7 more changes for #133 and exception handling
  • 84ed2f3 improve expection handling with raise_errors=True, fixing GH133
  • 3c55649 add test for GH133
  • fcb2a39 emergency fix for handling errors, exposed by lmfit
  • See full diff in compare view

Updates netcdf4 from 1.7.1.post2 to 1.7.2

Changelog

Sourced from netcdf4's changelog.

version 1.7.2 (tag v1.7.2rel)

  • add static type hints (PRs #1302, #1349)
  • Expose nc_rc_set, nc_rc_get (via rc_set, rc_get module functions). (PR #1348)
  • Add Variable.get_fill_value and allow fill_value='default' to set _FillValue attribute using default fill values. (issue #1374, PR #1375).
  • Fix NETCDF3 endian error (issue #1373, PR #1355).

version 1.7.1 (tag v1.7.1rel)

  • include nc_complex source code from v0.2.0 tag (instead of using submodule).
  • add aarch64 wheels.

version 1.7.0 (tag v1.7.0rel)

  • add support for complex numbers via auto_complex keyword to Dataset (PR #1295)
  • fix for deprecated Cython DEF and IF statements using compatibility header with shims for unavailable functionality (PR #1277)
  • use szip as the library name on Windows (PR #1304)
  • add support for MS-MPI MPI_Message detection (PR #1305)
  • fix for issue #1306 - surprising result when indexing vlen str with non-contiguous indices.
  • Fix bug in set_collective introduced in PR #1277 (collective mode was always set).

version 1.6.5 (tag v1.6.5rel)

  • fix for issue #1271 (mask ignored if bool MA assigned to uint8 var)
  • include information on specific object when reporting errors from netcdf-c
  • python 3.12 wheels added, support for python 3.7 removed.

version 1.6.4 (tag v1.6.4rel)

  • set path to SSL certificates internally, so https DAP URLs work with wheels (issue #1246, requires nc_rc_set function available starting with netcdf-c 4.9.1, plus bugfix in netcdf-c PR #2690). Added certifi as a dependency.
  • Added isopen method to MFDataset object to check if underlying files are open.

version 1.6.3 (tag v1.6.3rel)

  • Use nc_put_vars for strided writes for netcdf-c >= 4.6.2 (issue #1222).
  • _Unsigned="false" should be same as not having _Unsigned set (issue #1232). _Unsigned now must be set to "true" or "True" for variable to be interpreted as unsigned, instead of just having _Unsigned be set (to anything).
  • pypi wheels built with netcdf-c 4.9.1.

version 1.6.2 (tag v1.6.2rel)

  • Added netCDF4.__has_set_alignment__ property to help identify if the

... (truncated)

Commits

Updates numpy from 2.0.2 to 2.1.2

Release notes

Sourced from numpy's releases.

2.1.2 (Oct 5, 2024)

NumPy 2.1.2 Release Notes

NumPy 2.1.2 is a maintenance release that fixes bugs and regressions discovered after the 2.1.1 release.

The Python versions supported by this release are 3.10-3.13.

Contributors

A total of 11 people contributed to this release. People with a "+" by their names contributed a patch for the first time.

  • Charles Harris
  • Chris Sidebottom
  • Ishan Koradia +
  • João Eiras +
  • Katie Rust +
  • Marten van Kerkwijk
  • Matti Picus
  • Nathan Goldbaum
  • Peter Hawkins
  • Pieter Eendebak
  • Slava Gorloff +

Pull requests merged

A total of 14 pull requests were merged for this release.

  • #27333: MAINT: prepare 2.1.x for further development
  • #27400: BUG: apply critical sections around populating the dispatch cache
  • #27406: BUG: Stub out get_build_msvc_version if distutils.msvccompiler...
  • #27416: BUILD: fix missing include for std::ptrdiff_t for C++23 language...
  • #27433: BLD: pin setuptools to avoid breaking numpy.distutils
  • #27437: BUG: Allow unsigned shift argument for np.roll
  • #27439: BUG: Disable SVE VQSort
  • #27471: BUG: rfftn axis bug
  • #27479: BUG: Fix extra decref of PyArray_UInt8DType.
  • #27480: CI: use PyPI not scientific-python-nightly-wheels for CI doc...
  • #27481: MAINT: Check for SVE support on demand
  • #27484: BUG: initialize the promotion state to be weak
  • #27501: MAINT: Bump pypa/cibuildwheel from 2.20.0 to 2.21.2
  • #27506: BUG: avoid segfault on bad arguments in ndarray.__array_function__

Checksums

MD5

4aae28b7919b126485c1aaccee37a6ba  numpy-2.1.2-cp310-cp310-macosx_10_9_x86_64.whl
172614423a82ef73d8752ad8a59cbafc  numpy-2.1.2-cp310-cp310-macosx_11_0_arm64.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
  • .travis.yml # for cibuildwheel aarch64 builds
  • setup.py # for classifier and minimum version check.

Make these changes in an ordinary PR against main and backport if necessary. Using the BLD: prefix (build label) for the commit summary will cause the wheel builds to be run so that the changes will be tested, 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
  • f5afe3d Merge pull request #27507 from charris/prepare-2.1.2
  • 6b9ef48 REL: Prepare for the NumPy 2.1.2 release [wheel build]
  • 6d85a24 MAINT: Pin setuptools for Python < 3.12 [wheel build]
  • 7f327d8 Merge pull request #27506 from charris/backport-27503
  • 09e9cd9 BUG: avoid segfault on bad arguments in ndarray.array_function
  • 06b4793 Merge pull request #27501 from charris/backport-27495
  • 364efb5 MAINT: Bump pypa/cibuildwheel from 2.21.1 to 2.21.2
  • df0e261 Merge pull request #27484 from ngoldbaum/use-weak-default
  • fa61bc6 Merge pull request #27481 from charris/backport-27472
  • d6d06ae Merge pull request #27480 from charris/backport-27475
  • Additional commits viewable in compare view

Updates pandas from 2.2.2 to 2.2.3

Release notes

Sourced from pandas's releases.

Pandas 2.2.3

We are pleased to announce the release of pandas 2.2.3. This release includes some new features, bug fixes, and performance improvements. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes. Pandas 2.2.3 supports Python 3.9 and higher.

The release will be available on the defaults and conda-forge channels:

conda install pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

Thanks to all the contributors who made this release possible.

Commits

Updates xarray from 2024.9.0 to 2024.10.0

Release notes

Sourced from xarray's releases.

v2024.10.0

This release brings official support for xarray.DataTree, and compatibility with zarr-python v3!

Aside from these two huge features, it also improves support for vectorised interpolation and fixes various bugs.

Thanks to the 31 contributors to this release: Alfonso Ladino, DWesl, Deepak Cherian, Eni, Etienne Schalk, Holly Mandel, Ilan Gold, Illviljan, Joe Hamman, Justus Magin, Kai Mühlbauer, Karl Krauth, Mark Harfouche, Martey Dodoo, Matt Savoie, Maximilian Roos, Patrick Hoefler, Peter Hill, Renat Sibgatulin, Ryan Abernathey, Spencer Clark, Stephan Hoyer, Tom Augspurger, Tom Nicholas, Vecko, Virgile Andreani, Yvonne Fröhlich, carschandler, joseph nowak, mgunyho and owenlittlejohns

What's Changed

... (truncated)

Commits
  • 165177e v2024.10.0 release summary (#9678)
  • fbe73ef drop the length from numpy's fixed-width string dtypes (#9586)
  • f24cae3 fixing behaviour for group parameter in open_datatree (#9666)
  • 519f05e Use zarr v3 dimension_names (#9669)
  • 5b2e6f1 fix(zarr): use inplace array.resize for zarr 2 and 3 (#9673)
  • 1f5889a implement dask methods on DataTree (#9670)
  • 521b087 support chunks in open_groups and open_datatree (#9660)
  • b133fdc Compatibility for zarr-python 3.x (#9552)
  • 4798707 Update to_dataframe doc to match current behavior (#9662)
  • 5632c8e Reduce graph size through writing indexes directly into graph for ``map_block...
  • 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]

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Summary by Sourcery

Build:

  • Update runtime dependencies: asteval to 1.0.5, netcdf4 to 1.7.2, numpy to 2.1.2, pandas to 2.2.3, and xarray to 2024.10.0.

@dependabot
Bump the runtime-dependencies group across 1 directory with 5 updates
e8900e3 
Bumps the runtime-dependencies group with 5 updates in the / directory:

| Package | From | To |
| --- | --- | --- |
| [asteval](https://github.com/lmfit/asteval) | `1.0.3` | `1.0.5` |
| [netcdf4](https://github.com/Unidata/netcdf4-python) | `1.7.1.post2` | `1.7.2` |
| [numpy](https://github.com/numpy/numpy) | `2.0.2` | `2.1.2` |
| [pandas](https://github.com/pandas-dev/pandas) | `2.2.2` | `2.2.3` |
| [xarray](https://github.com/pydata/xarray) | `2024.9.0` | `2024.10.0` |



Updates `asteval` from 1.0.3 to 1.0.5
- [Release notes](https://github.com/lmfit/asteval/releases)
- [Commits](lmfit/asteval@1.0.3...1.0.5)

Updates `netcdf4` from 1.7.1.post2 to 1.7.2
- [Release notes](https://github.com/Unidata/netcdf4-python/releases)
- [Changelog](https://github.com/Unidata/netcdf4-python/blob/master/Changelog)
- [Commits](https://github.com/Unidata/netcdf4-python/commits)

Updates `numpy` from 2.0.2 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@v2.0.2...v2.1.2)

Updates `pandas` from 2.2.2 to 2.2.3
- [Release notes](https://github.com/pandas-dev/pandas/releases)
- [Commits](pandas-dev/pandas@v2.2.2...v2.2.3)

Updates `xarray` from 2024.9.0 to 2024.10.0
- [Release notes](https://github.com/pydata/xarray/releases)
- [Changelog](https://github.com/pydata/xarray/blob/main/HOW_TO_RELEASE.md)
- [Commits](pydata/xarray@v2024.09.0...v2024.10.0)

---
updated-dependencies:
- dependency-name: asteval
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: runtime-dependencies
- dependency-name: netcdf4
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: runtime-dependencies
- dependency-name: numpy
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: runtime-dependencies
- dependency-name: pandas
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: runtime-dependencies
- dependency-name: xarray
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: runtime-dependencies
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot requested review from a team as code owners October 25, 2024 18:28
@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update Python code labels Oct 25, 2024
@dependabot dependabot bot requested review from jsnel and s-weigand October 25, 2024 18:28
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sourcery-ai bot commented Oct 25, 2024 •
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Reviewer's Guide by Sourcery

This pull request updates several runtime dependencies to their latest versions. The key changes include bug fixes, performance improvements, and new features across the updated packages. The most significant change is updating the numpy version constraint in setup.cfg to allow numpy 2.1.x.

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

File-Level Changes

Change Details Files
Update numpy version constraint to allow newer versions
  • Modified version constraint from '<2.1' to '<2.2' to allow numpy 2.1.x versions
  • Ensures compatibility with numpy 2.1.2 which includes bug fixes and performance improvements
 setup.cfg
Update runtime dependencies to latest versions
  • asteval updated from 1.0.3 to 1.0.5 with improved error handling
  • netcdf4 updated from 1.7.1.post2 to 1.7.2 with added type hints and bug fixes
  • numpy updated from 2.0.2 to 2.1.2 with various bug fixes and improvements
  • pandas updated from 2.2.2 to 2.2.3 with bug fixes and performance improvements
  • xarray updated from 2024.9.0 to 2024.10.0 with official DataTree support and zarr-python v3 compatibility
 setup.cfg
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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!

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Quality Gate Passed Quality Gate passed

Issues
0 New issues
0 Accepted issues

Measures
0 Security Hotspots
0.0% Coverage on New Code
0.0% Duplication on New Code

See analysis details on SonarCloud

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dependabot bot commented on behalf of github Nov 8, 2024

Superseded by #1555.

@dependabot dependabot bot closed this Nov 8, 2024
@dependabot dependabot bot deleted the dependabot/pip/runtime-dependencies-a7fe89c1c9 branch November 8, 2024 19:11
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