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chore(deps)(deps): bump the python-dependencies group with 5 updates - #108

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Bumps the python-dependencies group with 5 updates:

Package From To
fastapi 0.142.2 0.143.0
numpy 2.5.3 2.5.4
pydantic 2.13.5 2.14.0
hypothesis 6.168.3 6.169.0
ruff 0.16.10 0.17.0

Updates fastapi from 0.142.2 to 0.143.0

Release notes

Sourced from fastapi's releases.

0.143.0

Automatic OpenTelemetry exporter setup is now opt-in. If you rely on FastAPI to configure exporters from OTEL_* environment variables, set FASTAPI_OTEL_AUTO_CONFIGURE=true or use FastAPI(telemetry={"auto_configure": True}) to retain the previous behavior.

Applications that configure their own providers and exporters require no changes. FastAPI Cloud enables automatic setup for you.

Breaking Changes

  • 💥 Require opt-in for automatic OpenTelemetry exporter setup. PR #16476 by @​tiangolo.

0.142.4

Fixes

0.142.3

Fixes

  • 🐛 Cache OpenTelemetry tracers to preserve warning deduplication. PR #16468 by @​tiangolo.

Docs

Translations

Internal

... (truncated)

Commits

Updates numpy from 2.5.3 to 2.5.4

Release notes

Sourced from numpy's releases.

v2.5.4 (Oct 10, 2026)

NumPy 2.5.4 Release Notes

Released on 2026-10-10.

NumPy 2.5.4 is a patch release that fixes bugs discovered after the 2.5.3 release. Highlights are:

  • Many typing fixes and improvements,
  • A workaround for the MSVC 19.51 bug, see below.

This release supports Python versions 3.12-3.15.

Improvements

  • numpy.linalg.svd and numpy.linalg.lstsq now raise for inputs containing infinities instead of returning garbage results.

  • Fixed hangs in numpy.linalg.svd and numpy.linalg.lstsq for certain inputs containing infinities for recent versions of some LAPACK implementations.

  • numpy.linalg.cond now handles non-finite inputs more consistently.

(gh-32593)

StringDType hashing with NaN sentinels

StringDType instances with equivalent floating-point NaN sentinels now have equal hashes. Previously, distinct NaN objects could produce equal dtype instances with different hashes, causing dictionary lookups and set deduplication to fail.

(gh-32563)

Changes

MaskedArray resets a fill_value that cannot be represented in a new dtype

A fill_value copied from a source array is now reset to the default fill_value for the new dtype when it cannot be represented in that dtype. Previously the copied value could be stale: ufuncs that change dtype left the result holding a fill_value typed for the old dtype, which raised a TypeError only when something later validated it (such as .view()), and a floating point fill_value that overflows an integer dtype was kept as an out-of-range value together with a RuntimeWarning. Both now fall back to the default, including when a masked array is passed to MaskedArray with a different dtype. A fill_value given explicitly by the user is still validated and raises as before. This can now raise a ComplexWarning if the fill_value is complex and the new dtype is real.

... (truncated)

Commits
  • a3d0ef1 Merge pull request #32969 from charris/prepare-2.5.4
  • 087b536 MAINT: Make OpenBLAS version check use 2.5.x branch.
  • 91acd87 REL: Prepare for the NumPy 2.5.4 release.
  • 9cc555b Merge pull request #32956 from charris/backport-typing-1
  • e04b972 TYP: dtype[void].names: allow setting with list (#32943)
  • d929969 TYP: timedelta64: datetime.timedelta construction isn't deprecated (#...
  • 839467f TYP: ma.getmaskarray: accept array-likes (#32934)
  • 64b721b TYP: polynomial: accept scalar coef in the poly constructors (#32931)
  • 06b7ad2 TYP: void: accept any dtype: str in constructor calls (#32928)
  • c7bcd2c TYP: place: widen mask (#32926)
  • Additional commits viewable in compare view

Updates pydantic from 2.13.5 to 2.14.0

Release notes

Sourced from pydantic's releases.

v2.14.0 2026-10-08

What's Changed

The highlights of the v2.14 release are available in the blog post. Several minor changes (considered non-breaking changes according to our versioning policy) are also included in this release. Make sure to look into them before upgrading.

This release drops support for Python 3.9 and adds support for Python 3.15.

New Features

  • Add support for multiple_of constraint in fraction and timedelta core schemas by @​Viicos in #13873
  • Add __namespace__ parameter to create_model() by @​Viicos in #13895

Changes

Fixes

  • Call enum constructors in both validation modes by @​Viicos in #13792
  • Fix documentation examples not raising and remove unused string_sub_type unused error code by @​Viicos in #13821
  • Catch OverflowError during ByteSize validation by @​Viicos in #13850
  • Require multiple_of constraints to be positive by @​Viicos in #13862
  • Always pop field name and model type stacks during schema generation by @​saquibjawedbit in #13859
  • Handle TypeError gracefully during docstring extraction by @​Viicos in #13874
  • Fix config propagation of stdlib dataclasses and TypedDicts in JSON Schema by @​Viicos in #13891
  • Don't apply ser_json_timedelta to all datetime types in serialization inference by @​Viicos in #13892
  • Encode JSON Schema defaults with a consistent configuration by @​Viicos in #13893
  • Propagate init and kw_only=False from Field() to stdlib dataclass fields by @​Viicos in #13898
  • Respect propagated extra config in the JSON Schema of stdlib dataclasses by @​Viicos in #13899
  • Handle OS errors during ZoneInfo validation by @​Viicos in #13912
  • Handle exceptions during Decimal validation by @​Viicos in #13940
  • Rebuild incomplete types during serialization inference by @​Viicos in #13922
  • Reject large exponents in Fraction validation by @​Viicos in #13944
  • Avoid validating URL prefix multiple times in multi host URLs by @​Viicos in #13945

Full Changelog: pydantic/pydantic@v2.13.0...v2.14.0

v2.14.0b2 2026-09-09

What's Changed

This pre-release adds full support for Python 3.15 specific features, such as support for frozendict, making use of TypeForm and stabilizing the MISSING sentinel type.

New Features

... (truncated)

Changelog

Sourced from pydantic's changelog.

v2.14.0 (2026-10-08)

GitHub release

What's Changed

The highlights of the v2.14 release are available in the blog post. Several minor changes (considered non-breaking changes according to our versioning policy) are also included in this release. Make sure to look into them before upgrading.

This release drops support for Python 3.9 and adds support for Python 3.15.

New Features

  • Add support for multiple_of constraint in fraction and timedelta core schemas by @​Viicos in #13873
  • Add __namespace__ parameter to create_model() by @​Viicos in #13895

Changes

Fixes

  • Call enum constructors in both validation modes by @​Viicos in #13792
  • Fix documentation examples not raising and remove unused string_sub_type unused error code by @​Viicos in #13821
  • Catch OverflowError during ByteSize validation by @​Viicos in #13850
  • Require multiple_of constraints to be positive by @​Viicos in #13862
  • Always pop field name and model type stacks during schema generation by @​saquibjawedbit in #13859
  • Handle TypeError gracefully during docstring extraction by @​Viicos in #13874
  • Fix config propagation of stdlib dataclasses and TypedDicts in JSON Schema by @​Viicos in #13891
  • Don't apply ser_json_timedelta to all datetime types in serialization inference by @​Viicos in #13892
  • Encode JSON Schema defaults with a consistent configuration by @​Viicos in #13893
  • Propagate init and kw_only=False from Field() to stdlib dataclass fields by @​Viicos in #13898
  • Respect propagated extra config in the JSON Schema of stdlib dataclasses by @​Viicos in #13899
  • Handle OS errors during ZoneInfo validation by @​Viicos in #13912
  • Handle exceptions during Decimal validation by @​Viicos in #13940
  • Rebuild incomplete types during serialization inference by @​Viicos in #13922
  • Reject large exponents in Fraction validation by @​Viicos in #13944
  • Avoid validating URL prefix multiple times in multi host URLs by @​Viicos in #13945

New Contributors

v2.14.0b2 (2026-09-09)

GitHub release

... (truncated)

Commits

Updates hypothesis from 6.168.3 to 6.169.0

Commits
  • 82fa40a Bump hypothesis version to 6.169.0 and update changelog
  • 0116655 Merge pull request #4899 from Arjun-Aravind/fix/uv-download-metadata-url
  • 4f7ef96 claude: exclude rarely-hit realize branch from coverage
  • 4d42db9 Update uv download-metadata URL
  • 1484f6d Merge pull request #4896 from Liam-DeVoe/drop-python-3.10
  • ca2a4c6 Bump hypothesis version to 6.168.5 and update changelog
  • c1c9957 Merge pull request #4894 from MarcoGorelli/django-from-field-return-type
  • e3e5fea claude: address review comments
  • 7c22da6 claude: simplify add_note fallback
  • f6a8067 claude: check ghostwriter golden outputs on 3.11 instead of 3.10
  • Additional commits viewable in compare view

Updates ruff from 0.16.10 to 0.17.0

Release notes

Sourced from ruff's releases.

0.17.0

Release Notes

Released on 2026-10-09.

The executables in our macOS and Windows release archives and ruff wheels are now code-signed. macOS executables are signed with an Apple Developer ID certificate and notarized by Apple. Windows executables have timestamped Authenticode signatures from Azure Artifact Signing. This enables verification of the release publisher and binary integrity, supports publisher-based allowlisting, and should reduce security warnings and antivirus false positives.

Breaking changes

  • Update the default and latest Python versions for 3.15 (#28792)

    Ruff now defaults to Python 3.11 instead of 3.10 when no Python version is configured through target-version or requires-python. When checking for syntax errors without a configured Python version, Ruff now defaults to Python 3.15 instead of 3.14.

  • Update the default rule set (#28786)

    Several of the flake8-datetimez rules (DTZ001, DTZ005, DTZ006, DTZ007, DTZ011, DTZ012, and DTZ901) are no longer enabled by default, while undefined-local-with-nested-import-star-usage (F406), which corresponds to a syntax error, is now enabled by default.

  • Update Rust crate quick-junit to 0.8.0 (#27295)

    JUnit output now uses a skipped attribute instead of disabled on <testsuite> elements and includes a skipped attribute on the root <testsuites> element.

  • [flake8-import-conventions] Add datetime as dt as a conventional alias (ICN001) (#28790)

  • Support Unicode dummy variable names (#28722)

    The default lint.dummy-variable-rgx now recognizes underscore-prefixed Unicode names, such as _次, as dummy variables.

  • Update to Unicode 17 (#21229, #28784)

    Ruff now uses Unicode 17 data for identifier normalization and named character escapes ("\N{...}").

  • Always show unsafe and display-only fixes in the CLI (#27810)

    The default full output format now shows unsafe fixes and suggestions requiring manual review, regardless of the unsafe-fixes setting. Actually applying unsafe fixes still requires explicit opt-in.

  • Remove the Python dependency from conda-forge builds (conda-forge/ruff-feedstock#361)

    The conda-forge build no longer depends on Python, now supports linux-riscv64, win-arm64, and linux-ppc64le platforms, and now includes shell completions. However, no longer depending on Python means that python -m ruff and import ruff will no longer work. Use ruff directly from PATH instead. PyPI installations and those from the standalone installer are unaffected.

  • Remove support for ruff-lsp (#28750)

    Support for ruff-lsp, the legacy Python language server deprecated in Ruff v0.9.5, has been removed. The Ruff VS Code extension now always uses the native language server; ruff.nativeServer is deprecated and ignored. See the migration guide.

Stabilization

The following rules have been stabilized and are no longer in preview:

... (truncated)

Changelog

Sourced from ruff's changelog.

0.17.0

Released on 2026-10-09.

The executables in our macOS and Windows release archives and ruff wheels are now code-signed. macOS executables are signed with an Apple Developer ID certificate and notarized by Apple. Windows executables have timestamped Authenticode signatures from Azure Artifact Signing. This enables verification of the release publisher and binary integrity, supports publisher-based allowlisting, and should reduce security warnings and antivirus false positives.

Breaking changes

  • Update the default and latest Python versions for 3.15 (#28792)

    Ruff now defaults to Python 3.11 instead of 3.10 when no Python version is configured through target-version or requires-python. When checking for syntax errors without a configured Python version, Ruff now defaults to Python 3.15 instead of 3.14.

  • Update the default rule set (#28786)

    Several of the flake8-datetimez rules (DTZ001, DTZ005, DTZ006, DTZ007, DTZ011, DTZ012, and DTZ901) are no longer enabled by default, while undefined-local-with-nested-import-star-usage (F406), which corresponds to a syntax error, is now enabled by default.

  • Update Rust crate quick-junit to 0.8.0 (#27295)

    JUnit output now uses a skipped attribute instead of disabled on <testsuite> elements and includes a skipped attribute on the root <testsuites> element.

  • [flake8-import-conventions] Add datetime as dt as a conventional alias (ICN001) (#28790)

  • Support Unicode dummy variable names (#28722)

    The default lint.dummy-variable-rgx now recognizes underscore-prefixed Unicode names, such as _次, as dummy variables.

  • Update to Unicode 17 (#21229, #28784)

    Ruff now uses Unicode 17 data for identifier normalization and named character escapes ("\N{...}").

  • Always show unsafe and display-only fixes in the CLI (#27810)

... (truncated)

Commits
  • 5b27c1c Bump version to 0.17.0 (#29259)
  • 8f362bf Integrate vendored Unicode names into Ruff
  • 88a50d6 Revert upstream Unicode loose matching
  • 276832a Revert upstream Unicode alias normalization
  • 26911ca Vendor unicode_names2 from upstream
  • 27e3797 [ruff] Stabilize os-path-commonprefix (RUF071) (#28764)
  • bbb52c1 [flake8-tidy-imports] Stabilize lazy-import-immediately-resolved (`TID255...
  • 5aa9cbd [flake8-tidy-imports] Stabilize lazy-import-mismatch (TID254) (#28760)
  • dba1bc8 [flake8-import-conventions] Add datetime as dt as a conventional alias (`...
  • ef23c9c Update default and latest Python versions for 3.15 (#28792)
  • Additional commits viewable in compare view

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@dependabot
chore(deps)(deps): bump the python-dependencies group with 5 updates
0c9ac6e 
Bumps the python-dependencies group with 5 updates:

| Package | From | To |
| --- | --- | --- |
| [fastapi](https://github.com/fastapi/fastapi) | `0.142.2` | `0.143.0` |
| [numpy](https://github.com/numpy/numpy) | `2.5.3` | `2.5.4` |
| [pydantic](https://github.com/pydantic/pydantic) | `2.13.5` | `2.14.0` |
| [hypothesis](https://github.com/HypothesisWorks/hypothesis) | `6.168.3` | `6.169.0` |
| [ruff](https://github.com/astral-sh/ruff) | `0.16.10` | `0.17.0` |


Updates `fastapi` from 0.142.2 to 0.143.0
- [Release notes](https://github.com/fastapi/fastapi/releases)
- [Commits](fastapi/fastapi@0.142.2...0.143.0)

Updates `numpy` from 2.5.3 to 2.5.4
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/RELEASE_WALKTHROUGH.rst)
- [Commits](numpy/numpy@v2.5.3...v2.5.4)

Updates `pydantic` from 2.13.5 to 2.14.0
- [Release notes](https://github.com/pydantic/pydantic/releases)
- [Changelog](https://github.com/pydantic/pydantic/blob/main/HISTORY.md)
- [Commits](pydantic/pydantic@v2.13.5...v2.14.0)

Updates `hypothesis` from 6.168.3 to 6.169.0
- [Release notes](https://github.com/HypothesisWorks/hypothesis/releases)
- [Commits](HypothesisWorks/hypothesis@v6.168.3...v6.169.0)

Updates `ruff` from 0.16.10 to 0.17.0
- [Release notes](https://github.com/astral-sh/ruff/releases)
- [Changelog](https://github.com/astral-sh/ruff/blob/main/CHANGELOG.md)
- [Commits](astral-sh/ruff@0.16.10...0.17.0)

---
updated-dependencies:
- dependency-name: fastapi
  dependency-version: 0.143.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: python-dependencies
- dependency-name: numpy
  dependency-version: 2.5.4
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: python-dependencies
- dependency-name: pydantic
  dependency-version: 2.14.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: python-dependencies
- dependency-name: hypothesis
  dependency-version: 6.169.0
  dependency-type: direct:development
  update-type: version-update:semver-minor
  dependency-group: python-dependencies
- dependency-name: ruff
  dependency-version: 0.17.0
  dependency-type: direct:development
  update-type: version-update:semver-minor
  dependency-group: python-dependencies
...

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