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Bumps the python-versions group with 8 updates in the / directory:

Package From To
huggingface-hub 1.20.1 1.21.0
poethepoet 0.46.0 0.47.1
scipy-stubs 1.17.1.5 1.18.0.0
ipython 9.14.1 9.15.0
sphinx-autodoc-typehints 3.11.0 3.12.0
dagster 1.13.10 1.13.12
numpy 2.4.6 2.5.0
scipy 1.17.1 1.18.0

Updates huggingface-hub from 1.20.1 to 1.21.0

Release notes

Sourced from huggingface-hub's releases.

[v1.21.0] Jobs filtering & pagination

📊 Jobs listing revamped: filter, paginate, and ls instead of ps

The Jobs listing API and CLI have been overhauled with server-side filtering, proper pagination, and a CLI rename that aligns with the rest of hf. list_jobs() now accepts status and labels parameters that push filtering to the server, and returns a lazy iterator (matching list_models, list_datasets, etc.) so large result sets are fetched page by page. On the CLI side, hf jobs ps has been renamed to hf jobs ls for consistency with hf repos ls, hf models ls, and friends — ps and list still work as aliases.

⚠️ Breaking changes:

  • list_jobs() now returns an Iterable[JobInfo] instead of list[JobInfo]. If you indexed the result (jobs[0]), wrap it with list(...).
  • -f/--filter in hf jobs ls is deprecated. Use --status and --label instead. Glob patterns (data-*), negation (key!=value), and filtering by id/image/command are no longer supported.
from huggingface_hub import list_jobs
Filter by status and labels
list_jobs(status=["RUNNING", "SCHEDULING"], labels={"env": "prod"})
Iterate lazily
for job in list_jobs():
print(job.id)
Materialize all results
all_jobs = list(list_jobs())

# Filter by status and labels
hf jobs ls --status running,scheduling --label env=prod --label team=ml
Paginate with --limit
hf jobs ls -a --limit 500
hf jobs ls -a --limit 0  # no limit

  • [Jobs] Add stage/label filtering to list_jobs API and CLI by @​Wauplin in #4395
  • [Jobs] Paginate list_jobs and add --limit to hf jobs ps by @​Wauplin in #4403
  • [CLI] [Jobs] Rename job listing to 'hf jobs ls' (and keep 'hf jobs ps' alias) by @​Wauplin in #4409

📚 Documentation: CLI guide, Jobs guide

🐛 Fix circular import on from huggingface_hub import login

A regression introduced in v1.20.0 caused from huggingface_hub import login to raise an ImportError on a fresh interpreter, due to a circular dependency between _oauth_device and utils._http. The fix moves _oauth_device.py into the utils layer so all imports resolve downward, eliminating the cycle. No lazy imports or workarounds required.

🔧 Other QoL Improvements

📖 Documentation

... (truncated)

Commits
  • aea9b9d Release: v1.21.0
  • 2e2ed56 Release: v1.21.0.rc0
  • 4bd4c90 [CLI] [Jobs] Rename job listing to 'hf jobs ls' (and keep 'hf jobs ps' alias)...
  • fa3eb45 [Jobs] Paginate list_jobs and add --limit to hf jobs ps (#4403)
  • ecfd4c5 [CLI] Fix ty/mypy errors with click 8.4.2 (#4408)
  • 341469f Update hardware flavor enums (automated commit) (#4406)
  • 2fbcdfe [i18n-HI] Add Hindi translation for guides overview (#4405)
  • 5bc6bfa [Jobs] Add stage/label filtering to list_jobs API and CLI (#4395)
  • d991f09 Fix IndexError in filter_repo_objects on an empty pattern (#4402)
  • 0df783f Retry requests on httpx.RemoteProtocolError (#4398)
  • Additional commits viewable in compare view

Updates poethepoet from 0.46.0 to 0.47.1

Release notes

Sourced from poethepoet's releases.

0.47.1

Fixes

Full Changelog: nat-n/poethepoet@v0.47.0...v0.47.1

0.47.0

Enhancements

Fixes

AI Agent Skill 🤖

Install the skill via one of the following methods:

  1. Via a built in poe task (similar to how shell completions are installed):
poe _install_skill                          # auto-detects .claude/.codex/.pi/.agents and prompts
poe _install_skill ~/.claude/skills         # explicit path (substitute your agent's dir)
poe _install_skill <skills-dir> --upgrade   # non-interactive upgrade (skips if same/newer)
  1. From github via npx skills
npx skills add https://github.com/nat-n/poethepoet/tree/v0.46.0/poethepoet/skills/poethepoet

Full Changelog: nat-n/poethepoet@v0.46.0...v0.47.0

Commits
  • 1fb4f8d Bump version to 0.47.1
  • 88efc0a chore: regenerate JSON Schema
  • b151b09 fix(args): restore default for absent multiple positional args (#409)
  • d2f9c11 fix: schema generation for strict validation
  • 9231083 Bump version to 0.47.0
  • 994d8ed docs(skill): improve and document SKILL.md based on feedback (#404)
  • 0478c10 fix(args): support all three CLI styles for multi-value args (#402)
  • 8dc4399 feat: respect the FORCE_COLOR environment variable (#403)
  • fe6828b feat: Add buffer output_mode for parallel tasks (#400)
  • 548ea9c docs(skill): improve coverage of expr/switch config semantics and edge cases ...
  • Additional commits viewable in compare view

Updates scipy-stubs from 1.17.1.5 to 1.18.0.0

Release notes

Sourced from scipy-stubs's releases.

v1.18.0.0

This is the first scipy-stubs release that supports SciPy 1.18 (>=1.18.0rc2, <1.19) and supports Python 3.12-3.14, NumPy 2.0-2.7, and optype 0.14-0.18. If you encounter any regressions or other issues, please report them at https://github.com/scipy/scipy-stubs/issues.

What's Changed

⏬ SciPy 1.18.0 Changes

... (truncated)

Commits
  • ac415d6 🔖 scipy-stubs 1.18.0.0
  • 5bf5817 Merge pull request #1736 from scipy/bump-dev-deps
  • 7f97b9e ⬆️ update development dependencies
  • b266c60 Merge pull request #1735 from scipy/gh-1773
  • d0debe5 🐛 optimize: fix global optimizer func type when jac=True
  • e42a1ea Merge pull request #1731 from scipy/gh-1728
  • 702f287 Merge pull request #1732 from scipy/gh-1730
  • 2342b73 🐛 optimize: missing minimizer_kwargs items for global optimizers
  • d3ce038 🩹 signal.ShortTimeFFT: use the right typvar in __init__
  • 2c60914 📝 new signal.ShortTimeFFT 2nd generic type parameter
  • Additional commits viewable in compare view

Updates ipython from 9.14.1 to 9.15.0

Commits
  • 2273f39 release 9.15.0
  • 4774918 fix
  • 4bec98b update whatsnew
  • 42fcfe4 [3.11] Skip stup for Numpy that is not using > 3.11 syntax
  • b5da9ac fix: clarify tk simple-prompt gui message
  • 00bcdee fix: don't let kitty graphics detection crash IPython startup
  • 60f2e26 Fix #12726: %run honors quotes when expanding glob args
  • 3ea7aa6 Strip ANSI escape sequences from Sphinx directive output
  • 9b7d419 Add %xmode Doctest mode for doctest friendly tracebacks
  • fdbdf1c Increase codecov threshold to 0.2% to avoid false PR failures
  • Additional commits viewable in compare view

Updates sphinx-autodoc-typehints from 3.11.0 to 3.12.0

Commits

Updates dagster from 1.13.10 to 1.13.12

Changelog

Sourced from dagster's changelog.

1.13.12 (core) / 0.29.12 (libraries)

New

  • [ui] Improved the performance of the runs feed for runs that target large numbers of assets and asset checks. The feed now fetches a bounded preview of the selection and loads the full lists on demand.
  • [dagster-aws] Added a dashboard_refresh_interval parameter to PipesEMRServerlessClient and increased its default so that Spark UI URLs are no longer invalidated prematurely during a run. (Thanks, @​noy-solvin!)

Bugfixes

  • Fixed a bug where a partitioned asset check with its own automation condition could raise a CheckError and halt the entire automation tick when it was requested on a tick that did not materialize the asset it targets.
  • Fixed a bug where a code location could be left stuck in an error state after a transient gRPC failure during refresh (common during Kubernetes rolling deployments). The gRPC server watcher now periodically retries refresh for locations whose load error is a DagsterUserCodeUnreachableError. (Thanks, @​jmoldow!)
  • [ui] Fixed an issue where long pool names could overflow their container; they are now truncated, and the run pools dialog wraps and scrolls when there are many pools.
  • [dagster-dbt] Fixed a KeyError on failures when converting dbt run results to Dagster events for runs that omit that key (such as dbt Fusion).

1.13.11 (core) / 0.29.11 (libraries)

New

  • [ui] The asset catalog page now renders as a single virtualized list, so workspaces with many asset groups or code locations no longer freeze the UI when expanding those sections.
  • [dagster-dbt] Added a new "insights" option to DbtProjectComponent's include_metadata field, enabling Dagster+ Insights tracking from YAML config.
  • [dagster-graphql] Added an optional limit argument and new assetSelectionCount / assetCheckSelectionCount fields to the Run GraphQL type, so clients can render a bounded preview of a run's asset/check selection alongside the true totals.

Bugfixes

  • Asset check history is now cleared when an asset or its partitions are wiped; stale entries no longer linger in the Execution History and Partitions views.
  • [ui] The run detail page header now displays the asset-check count for asset-job runs, and the count is now read from the execution plan rather than by scanning the full run event log.
  • [ui] The "View asset lineage" item in the run actions menu now correctly scopes to the assets in that run.
  • [dagster-dbt] .with_insights() now logs a warning instead of raising when called against an unsupported adapter.

Documentation

  • Added a new page documenting Dagster+ code-location snapshot size limits, with a script you can run locally to estimate snapshot sizes before deploying.
  • Documented the "Run concurrency" Insights metric.
  • Fixed an invalid pool config in the "Preventing concurrent dbt snapshots" DbtProjectComponent example.
Commits

Updates dagster-webserver from 1.13.10 to 1.13.12

Changelog

Sourced from dagster-webserver's changelog.

1.13.12 (core) / 0.29.12 (libraries)

New

  • [ui] Improved the performance of the runs feed for runs that target large numbers of assets and asset checks. The feed now fetches a bounded preview of the selection and loads the full lists on demand.
  • [dagster-aws] Added a dashboard_refresh_interval parameter to PipesEMRServerlessClient and increased its default so that Spark UI URLs are no longer invalidated prematurely during a run. (Thanks, @​noy-solvin!)

Bugfixes

  • Fixed a bug where a partitioned asset check with its own automation condition could raise a CheckError and halt the entire automation tick when it was requested on a tick that did not materialize the asset it targets.
  • Fixed a bug where a code location could be left stuck in an error state after a transient gRPC failure during refresh (common during Kubernetes rolling deployments). The gRPC server watcher now periodically retries refresh for locations whose load error is a DagsterUserCodeUnreachableError. (Thanks, @​jmoldow!)
  • [ui] Fixed an issue where long pool names could overflow their container; they are now truncated, and the run pools dialog wraps and scrolls when there are many pools.
  • [dagster-dbt] Fixed a KeyError on failures when converting dbt run results to Dagster events for runs that omit that key (such as dbt Fusion).

1.13.11 (core) / 0.29.11 (libraries)

New

  • [ui] The asset catalog page now renders as a single virtualized list, so workspaces with many asset groups or code locations no longer freeze the UI when expanding those sections.
  • [dagster-dbt] Added a new "insights" option to DbtProjectComponent's include_metadata field, enabling Dagster+ Insights tracking from YAML config.
  • [dagster-graphql] Added an optional limit argument and new assetSelectionCount / assetCheckSelectionCount fields to the Run GraphQL type, so clients can render a bounded preview of a run's asset/check selection alongside the true totals.

Bugfixes

  • Asset check history is now cleared when an asset or its partitions are wiped; stale entries no longer linger in the Execution History and Partitions views.
  • [ui] The run detail page header now displays the asset-check count for asset-job runs, and the count is now read from the execution plan rather than by scanning the full run event log.
  • [ui] The "View asset lineage" item in the run actions menu now correctly scopes to the assets in that run.
  • [dagster-dbt] .with_insights() now logs a warning instead of raising when called against an unsupported adapter.

Documentation

  • Added a new page documenting Dagster+ code-location snapshot size limits, with a script you can run locally to estimate snapshot sizes before deploying.
  • Documented the "Run concurrency" Insights metric.
  • Fixed an invalid pool config in the "Preventing concurrent dbt snapshots" DbtProjectComponent example.
Commits

Updates numpy from 2.4.6 to 2.5.0

Release notes

Sourced from numpy's releases.

v2.5.0 (June 21, 2026)

NumPy 2.5.0 Release Notes

Numpy 2.5.0 is a transitional release. It drops support for Python 3.11, marking the end of distutils, and expires a large number of deprecations made in the 2.0.x release. It also improves free threading and brings sorting into compliance with the array-api standard with the addition of descending sorts. There is also a fair amount of preparation for Python 3.15, which will be supported starting with the first rc.

This release supports Python versions 3.12-3.14.

Highlights

  • Distutils has been removed,
  • Many expired deprecations, see below,
  • Many new deprecations, see below,
  • Many static typing improvements.
  • Improved support for free threading,
  • Support for descending sorts,

See New Features below for other additions.

Deprecations

  • numpy.char.chararray is deprecated. Use an ndarray with a string or bytes dtype instead.

    (gh-30605)

  • numpy.take now correctly checks if the result can be cast to the provided out=out under the same-kind rule. A DeprecationWarning is given now when this check fails. Previously, take incorrectly checked if out could be cast to the result (the wrong direction). This deprecation also affects compress and possibly other functions. (Future versions of NumPy may tighten the casting check further.)

    (gh-30615)

  • The numpy.char.[as]array functions are deprecated. Use an numpy.[as]array with a string or bytes dtype instead.

    (gh-30802)

  • Setting the dtype attribute is deprecated because mutating an array is unsafe if an array is shared, especially by multiple threads. As an alternative, you can create a view with a new dtype via array.view(dtype=new_dtype).

    (gh-29244)

... (truncated)

Changelog

Sourced from numpy's changelog.

This is a walkthrough of the NumPy 2.4.0 release on Linux, which will be the first feature release using the numpy/numpy-release <https://github.com/numpy/numpy-release>__ repository.

The commands can be copied into the command line, but be sure to replace 2.4.0 with 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.

Prior to release

Add/drop Python versions

When adding or dropping Python versions, multiple config and CI files need to be edited in addition to changing the minimum version in pyproject.toml. Make these changes in an ordinary PR against main and backport if necessary. We currently release wheels for new Python versions after the first Python RC once manylinux and cibuildwheel support that new Python version.

Backport pull requests

Changes that have been marked for this release must be backported to the maintenance/2.4.x branch.

Update 2.4.0 milestones

Look at the issues/prs with 2.4.0 milestones and either push them off to a later version, or maybe remove the milestone. You may need to add a milestone.

Check the numpy-release repo

... (truncated)

Commits
  • 6910b28 Merge pull request #31706 from charris/prepare-2.5.0-release
  • e0acd2b REL: Prepare for the NumPy 2.5.0 release.
  • 8d928b7 Merge pull request #31704 from charris/backport-31649
  • c2055ba MAINT: update openblas to 0.3.33.112.0 (#31649)
  • ce17c81 Merge pull request #31703 from charris/backport-31609
  • 3de6203 BUG: fix StringDType distinct-allocator bugs and add tests (#31609)
  • c723971 Merge pull request #31700 from charris/backport-31694
  • 64513b2 MAINT: Bump pypa/cibuildwheel from 3.4.1 to 4.1.0
  • 04707f0 Merge pull request #31698 from charris/try-fix-emscripten
  • 5cf0686 MAINT: Try to fix emscripten wheel build.
  • Additional commits viewable in compare view

Updates scipy from 1.17.1 to 1.18.0

Release notes

Sourced from scipy's releases.

SciPy 1.18.0 Release Notes

SciPy 1.18.0 is the culmination of 6 months of hard work. It contains many new features, numerous bug-fixes, improved test coverage and better documentation. There have been a number of deprecations and API changes in this release, which are documented below. All users are encouraged to upgrade to this release, as there are a large number of bug-fixes and optimizations. Before upgrading, we recommend that users check that their own code does not use deprecated SciPy functionality (to do so, run your code with python -Wd and check for DeprecationWarning s). Our development attention will now shift to bug-fix releases on the 1.18.x branch, and on adding new features on the main branch.

This release requires Python 3.12-3.14 and NumPy 2.0.0 or greater.

Highlights of this release

  • SciPy now supports three different build modes for BLAS and LAPACK LP64/ILP64 support, and machinery is provided for downstream cython_lapack consumers to gracefully handle LP64/ILP64 backend builds. ILP64 support has been substantially improved across the SciPy library.
  • Remaining Fortran to C translations have been completed---an experimental Fortran-free build option is now available to developers for testing purposes. Developer feedback is welcome on Fortran-free builds.
  • scipy.signal.whittaker_henderson now provides access to Whittaker-Henderson smoothing of a discrete signal.
  • A large number of scipy.stats functions now support lazy arrays and JAX JIT. Array API support has been improved substantially in SciPy, with at least 21 functions gaining new support in this release. 16 scipy.stats functions have also gained support for MArray input.

New features

scipy.fft improvements

  • SciPy's internal FFT backend has switched from pocketfft to its successor package ducc0.fft, which features several incremental improvements. The most significant of those from SciPy's perspective is probably that storage requirements for internally cached plans have been significantly reduced for most long 1D transforms. Plans that require more storage than 1MB will no longer be cached; this mainly affects huge 1D transforms of prime and near-prime sizes.

scipy.interpolate improvements

... (truncated)

Commits
  • 54ef542 REL: 1.18.0 release commit
  • a45e463 Merge pull request #25395 from tylerjereddy/treddy_prep_1.18.0_final
  • ee2442e TYP, MAINT, TST: PR 25395 revisions
  • 3225154 DOC: PR 25395 revisions
  • 14c7bd7 TYP: Fix mypy errors with pytest==9.1.0 (#25410)
  • 71522e9 DOC: revise SciPy 1.18.0 release notes
  • 92f8482 MAINT: fix errors from pytest 9.1 (#25378)
  • 7b27bf4 TST, MAINT: modernize spatial tests for pytest 10 (#25376)
  • d05b640 Merge pull request #25347 from tylerjereddy/treddy_version_bump_1.18.0rc3
  • e60fe8b REL: set to 1.18.0rc3 unreleased
  • Additional commits viewable in compare view

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@dependabot
chore(deps)(deps): bump the python-versions group across 1 directory …
e37299c 
…with 9 updates

Bumps the python-versions group with 8 updates in the / directory:

| Package | From | To |
| --- | --- | --- |
| [huggingface-hub](https://github.com/huggingface/huggingface_hub) | `1.20.1` | `1.21.0` |
| [poethepoet](https://github.com/nat-n/poethepoet) | `0.46.0` | `0.47.1` |
| [scipy-stubs](https://github.com/scipy/scipy-stubs) | `1.17.1.5` | `1.18.0.0` |
| [ipython](https://github.com/ipython/ipython) | `9.14.1` | `9.15.0` |
| [sphinx-autodoc-typehints](https://github.com/tox-dev/sphinx-autodoc-typehints) | `3.11.0` | `3.12.0` |
| [dagster](https://github.com/dagster-io/dagster) | `1.13.10` | `1.13.12` |
| [numpy](https://github.com/numpy/numpy) | `2.4.6` | `2.5.0` |
| [scipy](https://github.com/scipy/scipy) | `1.17.1` | `1.18.0` |



Updates `huggingface-hub` from 1.20.1 to 1.21.0
- [Release notes](https://github.com/huggingface/huggingface_hub/releases)
- [Commits](huggingface/huggingface_hub@v1.20.1...v1.21.0)

Updates `poethepoet` from 0.46.0 to 0.47.1
- [Release notes](https://github.com/nat-n/poethepoet/releases)
- [Commits](nat-n/poethepoet@v0.46.0...v0.47.1)

Updates `scipy-stubs` from 1.17.1.5 to 1.18.0.0
- [Release notes](https://github.com/scipy/scipy-stubs/releases)
- [Commits](scipy/scipy-stubs@v1.17.1.5...v1.18.0.0)

Updates `ipython` from 9.14.1 to 9.15.0
- [Release notes](https://github.com/ipython/ipython/releases)
- [Commits](ipython/ipython@9.14.1...9.15.0)

Updates `sphinx-autodoc-typehints` from 3.11.0 to 3.12.0
- [Release notes](https://github.com/tox-dev/sphinx-autodoc-typehints/releases)
- [Commits](tox-dev/sphinx-autodoc-typehints@3.11.0...3.12.0)

Updates `dagster` from 1.13.10 to 1.13.12
- [Release notes](https://github.com/dagster-io/dagster/releases)
- [Changelog](https://github.com/dagster-io/dagster/blob/master/CHANGES.md)
- [Commits](dagster-io/dagster@1.13.10...1.13.12)

Updates `dagster-webserver` from 1.13.10 to 1.13.12
- [Release notes](https://github.com/dagster-io/dagster/releases)
- [Changelog](https://github.com/dagster-io/dagster/blob/master/CHANGES.md)
- [Commits](dagster-io/dagster@1.13.10...1.13.12)

Updates `numpy` from 2.4.6 to 2.5.0
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/RELEASE_WALKTHROUGH.rst)
- [Commits](numpy/numpy@v2.4.6...v2.5.0)

Updates `scipy` from 1.17.1 to 1.18.0
- [Release notes](https://github.com/scipy/scipy/releases)
- [Commits](scipy/scipy@v1.17.1...v1.18.0)

---
updated-dependencies:
- dependency-name: huggingface-hub
  dependency-version: 1.21.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: python-versions
- dependency-name: poethepoet
  dependency-version: 0.47.1
  dependency-type: direct:development
  update-type: version-update:semver-minor
  dependency-group: python-versions
- dependency-name: scipy-stubs
  dependency-version: 1.18.0.0
  dependency-type: direct:development
  update-type: version-update:semver-minor
  dependency-group: python-versions
- dependency-name: ipython
  dependency-version: 9.15.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: python-versions
- dependency-name: sphinx-autodoc-typehints
  dependency-version: 3.12.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: python-versions
- dependency-name: dagster
  dependency-version: 1.13.12
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: python-versions
- dependency-name: dagster-webserver
  dependency-version: 1.13.12
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: python-versions
- dependency-name: numpy
  dependency-version: 2.5.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: python-versions
- dependency-name: scipy
  dependency-version: 1.18.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: python-versions
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot Bot added dependencies Pull requests that update a dependency file python:uv Pull requests that update python:uv code labels Jul 7, 2026
@dependabot dependabot Bot requested a review from a team July 7, 2026 05:00
@dependabot dependabot Bot added dependencies Pull requests that update a dependency file python:uv Pull requests that update python:uv code labels Jul 7, 2026
@sonarqubecloud

sonarqubecloud Bot commented Jul 7, 2026

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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 SonarQube Cloud

@dependabot @github

dependabot Bot commented on behalf of github Jul 8, 2026

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Looks like these dependencies are updatable in another way, so this is no longer needed.

@dependabot dependabot Bot closed this Jul 8, 2026
@dependabot dependabot Bot deleted the dependabot/uv/python-versions-6ce941dd8c branch July 8, 2026 04:32
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