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chore(deps): bump the python-maintenance group with 5 updates - #99

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chore(deps): bump the python-maintenance group with 5 updates#99
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dependabot/uv/python-maintenance-fc858f614d

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Bumps the python-maintenance group with 5 updates:

Package From To
ccxt 4.5.55 4.5.70
numpy 2.4.5 2.5.1
pandas 3.0.3 3.0.5
pyarrow 24.0.0 25.0.0
ruff 0.15.22 0.16.0

Updates ccxt from 4.5.55 to 4.5.70

Release notes

Sourced from ccxt's releases.

v4.5.70

What's Changed

Full Changelog: ccxt/ccxt@v4.5.69...v4.5.70

v4.5.69

What's Changed

New Contributors

... (truncated)

Commits

Updates numpy from 2.4.5 to 2.5.1

Release notes

Sourced from numpy's releases.

v2.5.1 (July 4, 2026)

NumPy 2.5.1 Release Notes

The NumPy 2.5.1 is a patch release that fixes bugs discovered after the 2.5.0 release. The most noticeable is the fix is to the numpy datetime cython API which should allow downstream to support NumPy versions older than 2.5. Preparation for Python 3.15 continues along with typing improvements.

This release supports Python versions 3.12-3.14

Changes

  • The minimum supported GCC version has been updated from 9.3.0 to 10.3.0

    (gh-31843)

Contributors

A total of 10 people contributed to this release. People with a "+" by their names contributed a patch for the first time.

  • Adhyan Gupta +
  • Ankit Ahlawat
  • Charles Harris
  • Iason Krommydas
  • Joren Hammudoglu
  • Kumar Aditya
  • Nathan Goldbaum
  • Sebastian Berg
  • Ties Jan Hefting +
  • Vineet Kumar

Pull requests merged

A total of 20 pull requests were merged for this release.

  • #31707: MAINT: Prepare 2.5.x for further development
  • #31721: CI: fix new cython-lint errors (#31711)
  • #31723: MAINT: Update meson to match main
  • #31729: TST: use setup-sde instead of curl to get SDE binaries (#31727)
  • #31829: BUG: Relax finfo to be easier accessible for all user dtypes...
  • #31831: TYP: Fix flatiter.__next__ return type for object_ and...
  • #31832: BUG: avoid deadlocks using NpyString API (#31682)
  • #31833: BUG: fix out array leak in reduceat and accumulate when dtype...
  • #31835: BUG: fix numpy datetime cython APIs to be compatible with older...
  • #31836: TYP: Fix incorrect dtype inference of asarray([]) (#31732)
  • #31837: TYP: Fix np.ma.masked_array 2.5.0 regression
  • #31838: FIX: Refactor error handling in array_setstate to prevent typecode...
  • #31839: TST: xfail multithreaded BLAS test more generously
  • #31840: MAINT: Rename subroutine for crackfortran tests

... (truncated)

Commits
  • 5e1d03f Merge pull request #31863 from charris/prepare-2.5.1
  • ad0b66b REL: Prepare for the NumPy 2.5.1 release.
  • 9df8516 Merge pull request #31858 from charris/backport-31688
  • 4dee265 Merge pull request #31857 from charris/backport-31775
  • dc8d553 Merge pull request #31856 from charris/backport-31846
  • 67cb4a8 fix:Signed integer overflow in datetime.c (#31688)
  • baa2589 TST: Clean up imports, formatting, and assertions
  • 2fe5ba4 TEST: Refactor tests to use np.testing.assert_raises_regex per review
  • bb46581 MAINT: Remove deprecated Python recursion fix
  • 8f34214 MAINT: Move SeedSequence recursion guard to C-layer and add tests
  • Additional commits viewable in compare view

Updates pandas from 3.0.3 to 3.0.5

Release notes

Sourced from pandas's releases.

pandas 3.0.5

We are pleased to announce the release of pandas 3.0.5. This is a patch release in the 3.0.x series and includes some regression fixes and bug fixes. We recommend that all users of the 3.0.x series upgrade to this version.

See the full whatsnew for a list of all the changes.

Pandas 3.0 supports Python 3.11 and higher. The release can be installed from PyPI:

python -m pip install --upgrade pandas==3.0.*

Or from conda-forge

conda install -c conda-forge pandas=3.0

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

Thanks to all the contributors who made this release possible.

pandas 3.0.4

We are pleased to announce the release of pandas 3.0.4. This is a patch release in the 3.0.x series and includes some regression fixes and bug fixes. We recommend that all users of the 3.0.x series upgrade to this version.

See the full whatsnew for a list of all the changes.

Pandas 3.0 supports Python 3.11 and higher. The release can be installed from PyPI:

python -m pip install --upgrade pandas==3.0.*

Or from conda-forge

conda install -c conda-forge pandas=3.0

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

Thanks to all the contributors who made this release possible.

Commits
  • e68db09 RLS: 3.0.5
  • 0697623 Backport PR #66428: DOC: update whatsnew for 3.0.5 (#66430)
  • 5d846d0 Backport PR #66090 on branch 3.0.x (BLD: exclude numpy 2.5.0 when building wh...
  • bef7a2b Backport PR #66169 on branch 3.0.x (CI: Fix pyarrow-nightly job (stale nightl...
  • 8188eb1 RLS: 3.0.4 (#66079)
  • bd35f15 [3.0.x] BUG: fix CoW issue in eval() (#66072)
  • 6195872 [backport 3.0.x] BUG: anchor whole alternation in Series.str.match for PyArro...
  • 70313be Backport PR #66051 on branch 3.0.x (BUG: fix regression in DataFrame setitem ...
  • 57ed3e2 [backport 3.0.x] Bump pypa/cibuildwheel from 3.4.1 to 4.1.0 (#65934) (#66026)
  • f9693fc [backport 3.0.x] BUG(pandas 3.0 regression): drop(index=...) doesn't accept N...
  • Additional commits viewable in compare view

Updates pyarrow from 24.0.0 to 25.0.0

Release notes

Sourced from pyarrow's releases.

Apache Arrow 25.0.0

Release Notes URL: https://arrow.apache.org/release/25.0.0.html

Apache Arrow 25.0.0 RC1

Release Notes: Release Candidate: 25.0.0 RC1

Commits
  • 59bea6e MINOR: [Release] Update versions for 25.0.0
  • 381fab6 MINOR: [Release] Update .deb/.rpm changelogs for 25.0.0
  • 7f72d5b MINOR: [Release] Update CHANGELOG.md for 25.0.0
  • fe2f85c GH-50336: [Release][Archery] Fix archery GitHub integration for release scrip...
  • c658548 GH-50293: [CI] Run check-labels for all triggers to avoid cancelling further ...
  • f83c8ca GH-50330: [C++][R][Parquet] Add missing typename in RleBitPackedDecoderGetRun...
  • 35e0f63 GH-50318: [R][CI] Install missing libpng-dev for test-r-linux-as-cran (#50328)
  • 61ca7a9 GH-50295: [C++][R] #include <ranges> in vector_select_k.cc breaks macOS CRAN ...
  • 1b6edb8 GH-50291: [Python][Packaging] Stop using nightly build dependencies for build...
  • e183ea9 MINOR: [Docs] Add Timestamp With Offset to canonical extension types status (...
  • Additional commits viewable in compare view

Updates ruff from 0.15.22 to 0.16.0

Release notes

Sourced from ruff's releases.

0.16.0

Release Notes

Released on 2026-07-23.

Check out the blog post for a migration guide and overview of the changes!

Breaking changes

  • Ruff now enables a much larger set of rules by default (413, up from 59). See the blog post for more details and the new Default Rules page for a full listing of the enabled rules. Note that this is primarily an expansion, but 18 of the more opinionated pycodestyle (E) and pyflakes (F) rules have been removed from the default set: E401, E402, E701, E702, E703, E711, E712, E713, E714, E721, E731, E741, E742, E743, F403, F405, F406, and F722.

  • Ruff can now format Python code blocks in Markdown files and will do this by default. See the documentation for more details.

  • Ruff now supports ruff: ignore comments at the ends of lines, like noqa comments, or on the line preceding a diagnostic. For example, these both suppress an unused-import (F401) diagnostic:

    import math  # ruff: ignore[F401]
    ruff: ignore[F401]
    import os

  • Fixes are now shown in check and format --check output:

    ruff format --check .
    unformatted: File would be reformatted
     --> try.md:1:1
      |
    1 | ```python
      - import   math
    2 + import math
    3 | ```
      |
    1 file would be reformatted

    This example also shows off the Markdown formatting.

  • format --check now supports the same output formats as the linter, including the github and gitlab outputs for rendering annotations in CI:

    ruff format --check --output-format github .
    ::error title=ruff (unformatted),file=try.md,line=2,col=8,endLine=2,endColumn=10::try.md:2:8: unformatted: File would be reformatted

    See the CLI help or documentation for the full list of supported formats.

  • The filename, location, end_location, fix.edits[].location, and fix.edits[].end_location fields in the JSON output format may now be null rather than defaulting to the empty string and row 1, column 1, respectively.

... (truncated)

Changelog

Sourced from ruff's changelog.

0.16.0

Released on 2026-07-23.

Check out the blog post for a migration guide and overview of the changes!

Breaking changes

  • Ruff now enables a much larger set of rules by default (413, up from 59). See the blog post for more details and the new Default Rules page for a full listing of the enabled rules. Note that this is primarily an expansion, but 18 of the more opinionated pycodestyle (E) and pyflakes (F) rules have been removed from the default set: E401, E402, E701, E702, E703, E711, E712, E713, E714, E721, E731, E741, E742, E743, F403, F405, F406, and F722.

  • Ruff can now format Python code blocks in Markdown files and will do this by default. See the documentation for more details.

  • Ruff now supports ruff: ignore comments at the ends of lines, like noqa comments, or on the line preceding a diagnostic. For example, these both suppress an unused-import (F401) diagnostic:

    import math  # ruff: ignore[F401]
    ruff: ignore[F401]
    import os

  • Fixes are now shown in check and format --check output:

    ruff format --check .
    unformatted: File would be reformatted
     --> try.md:1:1
      |
    1 | ```python
      - import   math
    2 + import math
    3 | ```
      |
    1 file would be reformatted

    This example also shows off the Markdown formatting.

  • format --check now supports the same output formats as the linter, including the github and gitlab outputs for rendering annotations in CI:

... (truncated)

Commits
  • a2635fd Bump 0.16.0 (#27136)
  • 3433449 [ty] Reuse full call diagnostics for implicit setter calls (#27115)
  • 2240070 Reflect ruff: ignore and --add-ignore stabilization in documentation (#27...
  • 17ef711 Stabilize --add-ignore (#27125)
  • ef912bb Add newly stabilized rules to defaults (#27055)
  • b30f040 Stabilize new default rules (#27035)
  • bcd70c5 Exclude Markdown files from format-dev runs (#27052)
  • 87e51e2 Fix format --check spans for syntax errors (#27045)
  • afe2723 [flake8-gettext] Stabilize qualified-name and built-in binding resolution (...
  • a9702d8 [flake8-bandit] Stabilize string literal binding resolution (S310) (#26944)
  • Additional commits viewable in compare view

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Bumps the python-maintenance group with 5 updates:

| Package | From | To |
| --- | --- | --- |
| [ccxt](https://github.com/ccxt/ccxt) | `4.5.55` | `4.5.70` |
| [numpy](https://github.com/numpy/numpy) | `2.4.5` | `2.5.1` |
| [pandas](https://github.com/pandas-dev/pandas) | `3.0.3` | `3.0.5` |
| [pyarrow](https://github.com/apache/arrow) | `24.0.0` | `25.0.0` |
| [ruff](https://github.com/astral-sh/ruff) | `0.15.22` | `0.16.0` |


Updates `ccxt` from 4.5.55 to 4.5.70
- [Release notes](https://github.com/ccxt/ccxt/releases)
- [Commits](ccxt/ccxt@v4.5.55...v4.5.70)

Updates `numpy` from 2.4.5 to 2.5.1
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/RELEASE_WALKTHROUGH.rst)
- [Commits](numpy/numpy@v2.4.5...v2.5.1)

Updates `pandas` from 3.0.3 to 3.0.5
- [Release notes](https://github.com/pandas-dev/pandas/releases)
- [Commits](pandas-dev/pandas@v3.0.3...v3.0.5)

Updates `pyarrow` from 24.0.0 to 25.0.0
- [Release notes](https://github.com/apache/arrow/releases)
- [Commits](apache/arrow@apache-arrow-24.0.0...apache-arrow-25.0.0)

Updates `ruff` from 0.15.22 to 0.16.0
- [Release notes](https://github.com/astral-sh/ruff/releases)
- [Changelog](https://github.com/astral-sh/ruff/blob/main/CHANGELOG.md)
- [Commits](astral-sh/ruff@0.15.22...0.16.0)

---
updated-dependencies:
- dependency-name: ccxt
  dependency-version: 4.5.70
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: python-maintenance
- dependency-name: numpy
  dependency-version: 2.5.1
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: python-maintenance
- dependency-name: pandas
  dependency-version: 3.0.5
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: python-maintenance
- dependency-name: pyarrow
  dependency-version: 25.0.0
  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: python-maintenance
- dependency-name: ruff
  dependency-version: 0.16.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: python-maintenance
...

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