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chore(deps)(deps): bump the client-dependencies group across 1 directory with 10 updates - #268

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Bumps the client-dependencies group with 10 updates in the /client directory:

Package From To
websockets 17.1 17.3
aiohttp 3.14.3 3.14.5
paramiko 5.0.0 5.1.0
scp 0.16.1 0.16.2
zeroconf 0.151.3 0.151.5
numpy 2.5.2 2.5.4
pandas 3.0.5 3.1.0
pydantic 2.13.5 2.14.1
pydantic-settings 2.15.0 2.16.1
python-dotenv 1.2.3 1.2.4

Updates websockets from 17.1 to 17.3

Release notes

Sourced from websockets's releases.

17.3

See https://websockets.readthedocs.io/en/stable/project/changelog.html for details.

17.2

See https://websockets.readthedocs.io/en/stable/project/changelog.html for details.

Commits
  • 86a1ad5 Release version 17.3.
  • 5cc46ca Bump pypa/cibuildwheel from 4.2.1 to 4.3.1
  • f6702a5 Deindent more test assertions.
  • 7fe5d60 Deindent assertions on raised exceptions.
  • 8549c24 Support arbitrary data in basic auth credentials.
  • a8a898b Support UTF-8 passwords in server basic auth.
  • bc17da4 Parse integers strictly in the HTTP protocol.
  • 7f56717 Increase timeout for running tests.
  • 47e2926 Simplify issue template and fix typo.
  • 77875e1 Fix intermittent errors on free-threaded Python.
  • Additional commits viewable in compare view

Updates aiohttp from 3.14.3 to 3.14.5
Updates paramiko from 5.0.0 to 5.1.0

Commits

Updates scp from 0.16.1 to 0.16.2

Changelog

Sourced from scp's changelog.

0.16.2 (2026-10-06)

  • Catch EOFError from channel.close() that happens sporadically on some devices
  • Check erroneous server path on download
Commits

Updates zeroconf from 0.151.3 to 0.151.5

Release notes

Sourced from zeroconf's releases.

0.151.5

v0.151.5 (2026-09-28)

This release is published under the LGPL-2.1-or-later License.

Bug Fixes

Detailed Changes: 0.151.4...0.151.5

0.151.4

v0.151.4 (2026-09-28)

This release is published under the LGPL-2.1-or-later License.

Bug Fixes

  • Skip adapter scan for interface lists with no IPv6 entries (#1919, 47ec4ba)

Detailed Changes: 0.151.3...0.151.4

Changelog

Sourced from zeroconf's changelog.

v0.151.5 (2026-09-28)

Bug Fixes

v0.151.4 (2026-09-28)

Bug Fixes

  • Skip adapter scan for interface lists with no IPv6 entries (#1919, 47ec4ba)
Commits
  • f8b9ac5 0.151.5
  • 1d939f4 fix: build only the sdist in the release job (#1921)
  • 0c0c935 0.151.4
  • 47ec4ba fix: skip adapter scan for interface lists with no IPv6 entries (#1919)
  • 27ee975 chore: record the jacobtomlinson consent in the ledger (#1920)
  • bb91be5 chore(deps-dev): bump blockbuster from 1.5.27 to 1.5.28 (#1914)
  • 4b6bd74 chore(pre-commit.ci): pre-commit autoupdate (#1912)
  • 21d68bd chore(pre-commit.ci): pre-commit autoupdate (#1911)
  • bf58aa5 chore(deps-dev): bump hypothesis from 6.167.1 to 6.168.0 (#1910)
  • 177c207 chore(ci): bump the github-actions group with 2 updates (#1906)
  • Additional commits viewable in compare view

Updates numpy from 2.5.2 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 pandas from 3.0.5 to 3.1.0

Release notes

Sourced from pandas's releases.

pandas 3.1.0

We are pleased to announce the release of pandas 3.1.0. This release includes some new features, bug fixes, and performance improvements. We recommend that all users upgrade to this version.

Highlights include:

See the detailed release notes for a list of all the changes.

The release can be installed from PyPI:

python -m pip install --upgrade pandas

Or from conda-forge

conda install -c conda-forge pandas

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

Thanks to all the contributors who made this release possible.

pandas 3.1.0rc0

We are pleased to announce a release candidate for pandas 3.1.0.

See the whatsnew for a list of all the changes.

The release can be installed from PyPI:

python -m pip install --upgrade --pre pandas==3.1.0rc0

Or from conda-forge

conda install -c conda-forge/label/pandas_rc pandas==3.1.0rc0

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

Thanks to all the contributors who made this release possible.

pandas 3.0.6

We are pleased to announce the release of pandas 3.0.6. 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. This is also the first release to support Python 3.15.

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.*

... (truncated)

Commits
  • c6f4676 RLS: 3.1.0
  • dd69475 Backport PR #71468 on branch 3.1.x (DOC: 3.1 whatsnew: add some structure to ...
  • 4ccc19a Backport PR #71465 on branch 3.1.x (DOC: update announce (contributor listing...
  • 24dae63 [backport 3.1.x] DOC: cleanup 3.1.0 whatsnew (#71408) (#71466)
  • 8519ca6 [backport 3.1.x] CI: temporary pin dateutil to <3 (#71461) (#71464)
  • 2126193 Backport PR #71387 on branch 3.1.x (BUG: fix string regex operations with $ e...
  • 4700f5d Backport PR #71442 on branch 3.1.x (BUG: parallel read_csv raising released m...
  • 08efb14 Backport PR #71456 on branch 3.1.x (TST: Fix test_reduce_array until reduct...
  • ee8dcb7 Backport PR #71429 on branch 3.1.x (DOC: add dedicated 3.1 whatsnew section f...
  • d93e32c Backport PR #71383 on branch 3.1.x (BUG: fix string regex operations with Pyt...
  • Additional commits viewable in compare view

Updates pydantic from 2.13.5 to 2.14.1

Release notes

Sourced from pydantic's releases.

v2.14.1 2026-10-11

What's Changed

Performance

  • Avoid Python tuple allocation during model fields validation by @​Viicos in #13955
  • Avoid unnecessary extra dict allocation in model validation by @​Viicos in #13956

Fixes

Full Changelog: pydantic/pydantic@v2.14.0...v2.14.1

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

... (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

... (truncated)

Commits
  • b2212c7 Prepare release v2.14.1
  • 968fb2b Fix docs conversion table
  • 6adc8b3 Support named tuples in Sequence validation
  • 7637fbc Reject out-of-range int inputs for timedelta
  • dfdbfcb Enforce the max_digits whole-digits limit in the Python Decimal validator
  • e2456d3 Support closed and extra_items via inheritance in TypedDict
  • 317655d Harden CI security
  • 3ba1dd4 Fix TypeError on ForwardRef on Python 3.10.0
  • 43681ab Bump samuelcolvin/check-python-version action to v5.1
  • d6bc53a Avoid unnecessary extra dict allocation in model validation
  • Additional commits viewable in compare view

Updates pydantic-settings from 2.15.0 to 2.16.1

Release notes

Sourced from pydantic-settings's releases.

v2.16.1

Highlights

This patch release fixes two CLI regressions introduced in 2.16.0.

Bug fixes

CLI

  • Fixed-length tuple positionals such as CliPositionalArg[tuple[int, int]] and NamedTuples are single-valued again (#1069). Since 2.16.0 they were treated as variadic, so a CLI either refused to start with a SettingsError or put the wrong argument into the tuple. Variable-length tuples (tuple[int, ...] and bare Tuple) are still variadic.
  • A field typed as an alias of a list of dicts, e.g. type ListOfDict = list[dict[str, int]], accepts a JSON list again (#1049). Since 2.16.0, --xx '[{"a":1},{"b":2}]' was merged into the single dict {"a": 1, "b": 2} and failed validation.

What's Changed

Full Changelog: pydantic/pydantic-settings@v2.16.0...v2.16.1

v2.16.0

Highlights

Breaking changes and behavior changes

  • Python 3.10 is no longer supported (#1003). pydantic-settings now requires Python 3.11+, since 3.10 reaches end of life this month. The tomli fallback is gone in favor of stdlib tomllib; the toml extra is kept as an empty extra so pip install pydantic-settings[toml] keeps working.
  • python-dotenv>=1.2.2 is now required (#971) to pick up the fix for CVE-2026-28684.
  • Aliases are ignored in every source when validate_by_alias=False (#1033). Env vars, secrets, CLI flags and defaults now use only field names, matching pydantic. An env var named after the alias is now ignored instead of raising extra_forbidden, and the CLI exposes --apple rather than --pomo.
  • validation_alias takes precedence over alias (#1038). When the two differ, values from JSON/YAML/TOML files and the CLI were silently ignored; they now load. CLI help lists the validation_alias flag first, and CliApp.serialize emits it.
  • CLI case-insensitivity only lowercases registered options (#1036). With case_sensitive=False, args after -- and those captured by CliUnknownArgs keep their case (-Xmx4G no longer becomes -xmx4g). Unrecognized options are now reported as typed (--NOPE instead of --nope).
  • JSON and YAML config files are read as UTF-8 by default (#955) instead of the locale encoding, completing the secrets-file fix from 2.15.0. json_file_encoding/yaml_file_encoding still override it.
  • Discriminated union defaults are partially updated again (#997). This reverts the 2.15.0 regression with nested_model_default_partial_update=True: the default is only dropped when the incoming value selects a different union member.

New features

  • Python 3.15 and pydantic 2.14 support (#1026, #1029, #1022). pydantic 2.14 broke CliApp.run and validate_by_alias=False handling; both are fixed.
  • Cached settings instances via Settings.settings_cached() and Settings.settings_clear_cache() (#952). These give you a process-local singleton per settings class without hand-rolling lru_cache wrappers. Calling the class directly still builds a fresh instance.
  • AWS Systems Manager Parameter Store source — AWSSystemsManagerSettingsSource (#941). It recursively reads every parameter under an ssm_path, with / mapping onto nested models. Install it with the new aws-systems-manager extra.
  • env_file_depth (#940) lets a relative env_file be found in parent directories, mirroring pyproject_toml_depth. This is useful when scripts run from a subdirectory of a monorepo. It defaults to 0, which keeps the current behavior.
  • CliVariadicArg for named variadic options (#949, #958). It accepts --param a b c in addition to repeated --param a --param b. Required fields need at least one value.

Bug fixes

CLI

... (truncated)

Commits
  • 4e286e2 Prepare release 2.16.1 (#1087)
  • 993b59e Keep fixed-length tuple CLI positionals single-valued (#1069)
  • f651a7a Keep list of dicts CLI values as lists (#1049)
  • ecf7d90 Harden CI (#1044)
  • 8c259f4 Prepare release 2.16.0 (#1043)
  • 4bc667a Keep case of non-option CLI args when case_sensitive=False (#1036)
  • f75a805 Simplify alias resolution branch and test alias with AliasChoices/AliasPath (...
  • cfdc558 Honor env_parse_none_str for GCP Secret Manager (#1040)
  • 081d39f Fix config file and CLI values being ignored when alias differs from validati...
  • c46ebc4 Expand home paths when checking TOML table headers (#1034)
  • Additional commits viewable in compare view

Updates python-dotenv from 1.2.3 to 1.2.4

Release notes

Sourced from python-dotenv's releases.

v1.2.4

Fixed

  • dotenv get no longer exits with code 1 for empty string values (KEY=) by [@​ShamikOfficial] in #700
  • An unquoted empty value followed by an inline comment (e.g. KEY= # comment) is now parsed as an empty string instead of the comment text by [@​Noethix55555] in #663
  • dotenv run --no-override now expands variable references with the same precedence as load_dotenv(override=False), so a value like ${BASE}/suffix uses the existing BASE from the environment instead of the one from the .env file by [@​ROTl24] in #698
Changelog

Sourced from python-dotenv's changelog.

[1.2.4] - 2026-10-01

Fixed

  • dotenv get no longer exits with code 1 for empty string values (KEY=) by [@​ShamikOfficial] in #700
  • An unquoted empty value followed by an inline comment (e.g. KEY= # comment) is now parsed as an empty string instead of the comment text by [@​Noethix55555] in #663
  • dotenv run --no-override now expands variable references with the same precedence as load_dotenv(override=False), so a value like ${BASE}/suffix uses the existing BASE from the environment instead of the one from the .env file by [@​ROTl24] in #698
Commits
  • a565c2c Bump version: 1.2.3 → 1.2.4
  • 4a7abd0 docs: add 1.2.4 release notes (#663, #698, #700)
  • f215c02 fix: dotenv get exits 0 for empty string values (#700)
  • 58f2d7c test: make test_run_with_command_flags portable and meaningful (#709)
  • e0310e5 fix: honor --no-override when expanding variables in dotenv run (#698)
  • a00cb2e docs: add CHANGELOG entry for #663 (fix #600)
  • f5485a6 fix: parse empty unquoted value with inline comment as empty string
  • See full diff in compare view

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@dependabot
chore(deps)(deps): bump the client-dependencies group across 1 direct…
22df415 
…ory with 10 updates

---
updated-dependencies:
- dependency-name: websockets
  dependency-version: '17.3'
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: client-dependencies
- dependency-name: aiohttp
  dependency-version: 3.14.5
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: client-dependencies
- dependency-name: paramiko
  dependency-version: 5.1.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: client-dependencies
- dependency-name: scp
  dependency-version: 0.16.2
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: client-dependencies
- dependency-name: zeroconf
  dependency-version: 0.151.5
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: client-dependencies
- dependency-name: numpy
  dependency-version: 2.5.4
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: client-dependencies
- dependency-name: pandas
  dependency-version: 3.1.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: client-dependencies
- dependency-name: pydantic
  dependency-version: 2.14.1
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: client-dependencies
- dependency-name: pydantic-settings
  dependency-version: 2.16.1
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: client-dependencies
- dependency-name: python-dotenv
  dependency-version: 1.2.4
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: client-dependencies
...

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