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Bump the uv-minor-patch group across 1 directory with 15 updates - #896

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Bump the uv-minor-patch group across 1 directory with 15 updates#896
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Bumps the uv-minor-patch group with 15 updates in the / directory:

Package From To
jax 0.10.0 0.11.2
numpy 2.4.6 2.5.3
polars 1.40.1 1.44.2
numpyro 0.21.0 0.22.0
arviz 1.1.0 1.3.0
beautifulsoup4 4.14.3 4.15.0
ipykernel 7.2.0 7.3.0
mkdocstrings 1.0.4 1.0.6
mkdocstrings-python 2.0.3 2.0.9
pandas 3.0.3 3.0.6
plotnine 0.15.4 0.15.8
pre-commit 4.6.0 4.6.2
pytest 9.0.3 9.1.1
ruff 0.15.16 0.16.9
scipy 1.17.1 1.18.1

Updates jax from 0.10.0 to 0.11.2

Release notes

Sourced from jax's releases.

JAX v0.11.2

  • New features
    • Added jax.numpy.minmax (and jnp.minmax), which returns both the minimum and maximum of an array, matching NumPy 2.3+ (#40089).
    • Added jax.lax.log2 and primitive jax.lax.log2_p, making log2 a first-class primitive in JAX (jax.numpy.log2 now lowers via jax.lax.log2).
    • Added jax.lax.one_minus_square primitive to accurately compute 1 - x^2 near $\pm 1$ and provide accurate derivatives near $0$.
    • Added jax.export.symbolic_dim_bounds for querying conservative bounds on symbolic dimension expressions (#40006).
    • Added frozendict support to JAX pytrees for Python 3.15 (PEP 814).
    • jax.distributed.initialize can now secure the coordination service with mutual TLS via the new mtls_cert_file, mtls_key_file, mtls_ca_file, mtls_peer_uri_prefix and verify_secure_credentials arguments (or the JAX_MTLS_CERT_FILE, JAX_MTLS_KEY_FILE, JAX_MTLS_CA_FILE, JAX_MTLS_PEER_URI_PREFIX and JAX_DISTRIBUTED_VERIFY_SECURE_CREDENTIALS environment variables).
    • Added cluster detection support for Open MPI 5 in jax.distributed.initialize (#40512).
    • Added support for reading TPU_PROCESS_ADDRESSES_PATH in GKE TPU clusters.
    • Widened jax.random.generalized_normal's p parameter type from float to RealArray, allowing array-valued shape parameters (#40126).
    • Added exclude_argnames argument to jax.experimental.program_order.
    • [oneAPI GPU] Added oneMKL LAPACK solver kernels for QR decomposition (geqrf, orgqr/ungqr, ormqr/unmqr), LU decomposition (getrf), symmetric/Hermitian eigenvalue decomposition (syevd/heevd), SVD (gesvd), and hybrid solver kernels (geqp3, eig) (#40000, #40186, #40543).
    • jaxlib wheels now ship C++ FFI extension headers (collectives.h, record.h) to support out-of-tree plugins (#40333).
  • Breaking changes
    • Removed deprecated jax.experimental.shard_alike. Use explicit sharding mode instead (see sharding).
  • Changes
    • Optimized large JAX jax.sharding.Mesh construction by avoiding redundant device array allocations and copies.
    • Thread-safety improvements across JAX and jaxlib for free-threaded Python (Python 3.13t, 3.14t, 3.15t).
    • inline=True in jax.jit now corresponds to jax.Inline.JAX_LATE instead of jax.Inline.JAX_EARLY.
    • The minimum CuDNN version for CUDA 12 is v9.10.2.
    • JAX now uses Bazel 8.7.0 to build from source.
    • JAX now uses Bzlmod for its Bazel builds instead of WORKSPACE.
    • On GPU, multi-dimensional inverse real FFTs (jax.numpy.fft.irfftn, jax.numpy.fft.irfft2 and jax.lax.fft with FftType.IRFFT) are again lowered to a single C2R transform, as before JAX 0.10.0, instead of an IFFT over the outer axes and a 1-D IRFFT with two transposes. The input is first made Hermitian-symmetric along the outer axes, which does not change the result under NumPy's convention (only the last axis is

... (truncated)

Changelog

Sourced from jax's changelog.

JAX 0.11.2 (September 17, 2026)

  • New features

    • Added {func}jax.numpy.minmax (and jnp.minmax), which returns both the minimum and maximum of an array, matching NumPy 2.3+ ({jax-issue}[#40089](https://github.com/jax-ml/jax/issues/40089)).
    • Added {func}jax.lax.log2 and primitive {data}jax.lax.log2_p, making log2 a first-class primitive in JAX ({func}jax.numpy.log2 now lowers via jax.lax.log2).
    • Added {func}jax.lax.one_minus_square primitive to accurately compute 1 - x^2 near $\pm 1$ and provide accurate derivatives near $0$.
    • Added {func}jax.export.symbolic_dim_bounds for querying conservative bounds on symbolic dimension expressions ({jax-issue}[#40006](https://github.com/jax-ml/jax/issues/40006)).
    • Added {class}frozendict support to JAX pytrees for Python 3.15 (PEP 814).
    • {func}jax.distributed.initialize can now secure the coordination service with mutual TLS via the new mtls_cert_file, mtls_key_file, mtls_ca_file, mtls_peer_uri_prefix and verify_secure_credentials arguments (or the JAX_MTLS_CERT_FILE, JAX_MTLS_KEY_FILE, JAX_MTLS_CA_FILE, JAX_MTLS_PEER_URI_PREFIX and JAX_DISTRIBUTED_VERIFY_SECURE_CREDENTIALS environment variables).
    • Added cluster detection support for Open MPI 5 in {func}jax.distributed.initialize ({jax-issue}[#40512](https://github.com/jax-ml/jax/issues/40512)).
    • Added support for reading TPU_PROCESS_ADDRESSES_PATH in GKE TPU clusters.
    • Widened {func}jax.random.generalized_normal's p parameter type from float to RealArray, allowing array-valued shape parameters ({jax-issue}[#40126](https://github.com/jax-ml/jax/issues/40126)).
    • Added exclude_argnames argument to {func}jax.experimental.program_order.
    • [oneAPI GPU] Added oneMKL LAPACK solver kernels for QR decomposition (geqrf, orgqr/ungqr, ormqr/unmqr), LU decomposition (getrf), symmetric/Hermitian eigenvalue decomposition (syevd/heevd), SVD (gesvd), and hybrid solver kernels (geqp3, eig) ({jax-issue}[#40000](https://github.com/jax-ml/jax/issues/40000), {jax-issue}[#40186](https://github.com/jax-ml/jax/issues/40186), {jax-issue}[#40543](https://github.com/jax-ml/jax/issues/40543)).
    • jaxlib wheels now ship C++ FFI extension headers (collectives.h, record.h) to support out-of-tree plugins ({jax-issue}[#40333](https://github.com/jax-ml/jax/issues/40333)).

  • Breaking changes

    • Removed deprecated jax.experimental.shard_alike. Use explicit sharding mode instead (see {ref}jax-201-sharding).

  • Changes

    • Optimized large JAX {class}jax.sharding.Mesh construction by avoiding redundant device array allocations and copies.
    • Thread-safety improvements across JAX and jaxlib for free-threaded Python (Python 3.13t, 3.14t, 3.15t).
    • inline=True in {func}jax.jit now corresponds to {attr}jax.Inline.JAX_LATE instead of {attr}jax.Inline.JAX_EARLY.
    • The minimum CuDNN version for CUDA 12 is v9.10.2.
    • JAX now uses Bazel 8.7.0 to build from source.
    • JAX now uses Bzlmod for its Bazel builds instead of WORKSPACE.
    • On GPU, multi-dimensional inverse real FFTs ({func}jax.numpy.fft.irfftn, {func}jax.numpy.fft.irfft2 and {func}jax.lax.fft with FftType.IRFFT) are again lowered to a single C2R transform, as before JAX 0.10.0, instead

... (truncated)

Commits
  • 3254480 Prepare for JAX release 0.11.2
  • b59d695 Fix testSincValuesAndDerivativesLargeMagnitude with older NumPy versions.
  • a532f8e Optimize large JAX Mesh construction
  • 0208628 Merge pull request #40752 from hawkinsp:libtpu
  • 9310faa Skip LayoutTest.test_host_auto_layout on CPU and GPU.
  • f907e2a Bump libtpu pin to v0.0.48.
  • 73b3c04 Merge pull request #40693 from Intel-tensorflow:mraunak/mkl_def_toolchain_update
  • 5672063 Update XLA dependency to use revision http://github.com/openxla/xla/commit/91...
  • 171383a Support JAX AUTO layout for host memory space in XLA.
  • 9a863b3 Keep all non-manual dims open in partial manual shard_map lowering
  • Additional commits viewable in compare view

Updates numpy from 2.4.6 to 2.5.3

Release notes

Sourced from numpy's releases.

v2.5.3 (Sep 6, 2026)

NumPy 2.5.3 Release Notes

The NumPy 2.5.3 is a patch release that fixes bugs discovered after the 2.5.2 release. Apart from the usual bug and maintenance work, there are a number of StringDType related fixes for problems discovered during the ongoing string work in the main branch.

This release supports Python versions 3.12-3.15

Changes

  • Casting a fixed-width byte string array (np.bytes_) to StringDType now raises TypeError when the bytes are not valid UTF-8. Previously the invalid bytes were stored as-is and later caused undefined behavior in string operations.

    (gh-32296)

  • MaskedArray._fill_value would become stale when ufuncs that change dtype left the result holding a fill_value typed for the old dtype. The mismatch was silent until something later called _check_fill_value, such as .view(), and then a TypeError would be raised. Now, when the copied fill_value is no longer valid for the new dtype, fall back to the default fill_value for that dtype instead of propagating the stale value. This may raise a ComplexWarning if the fill_value is complex and the new dtype is real.

    (gh-32423)

Contributors

A total of 9 people contributed to this release. People with a "+" by their names contributed a patch for the first time.

  • Charles Harris
  • Iason Krommydas
  • James Davies +
  • Joren Hammudoglu
  • Maanas Arora
  • Matti Picus
  • Nathan Goldbaum
  • Shikhar Goel +
  • Yeonho Kim +

Pull requests merged

A total of 27 pull requests were merged for this release.

  • #32235: MAINT: Prepare 2.5.x for further development

... (truncated)

Commits
  • dd88c0c Merge pull request #32511 from charris/prepare-2.5.3
  • edcac6a REL: Prepare for the NumPy 2.5.3 release
  • fd4d908 Merge pull request #32509 from charris/backport-32496
  • 65bb1da BUG: fix crash in ufunc.resolve_dtypes with a Python scalar type (#32496)
  • 294956e Merge pull request #32506 from charris/backport-32503
  • 26428d9 DOC: fix scipy docs links in intersphinx mapping (#32507)
  • 5fab1cb DOC: use static scipy doc site for intershpinx (#32503)
  • 7beed2f Merge pull request #32481 from ngoldbaum/stringdtype-backport
  • 8972f70 Merge pull request #32478 from charris/backport-32466
  • ab1b589 Merge pull request #32477 from charris/backport-32423
  • Additional commits viewable in compare view

Updates polars from 1.40.1 to 1.44.2

Release notes

Sourced from polars's releases.

Python Polars 1.44.2

🛠️ Other improvements

Thank you to all our contributors for making this release possible! @​EndPositive, @​dsprenkels, @​kdn36, @​lun3x, @​nameexhaustion and @​orlp

Python Polars 1.44.1

Thank you to all our contributors for making this release possible! @​Kevin-Patyk, @​henrytsanford, @​jonasdedden, @​orlp and @​ritchie46

Python Polars 1.44.0

⚠️ Deprecations

  • Deprecate rechunk parameter for all read/scan functions (#28063)
  • Deprecate Expr.rechunk() (#28692)
  • Deprecate struct.rename_fields() with an incorrect number of fields (#28672)

🚀 Performance improvements

  • Add private env var toggle for HTTP rate limit (#28882)
  • Relax default CloudRetryConfig for rate limit stability (#28885)
  • Elide generic cross join on subquery decorrelation in equality predicates (#28876)
  • cache CTE's in SQL layer (#28864)
  • Allow CSPE if manual caches are set (#28859)
  • Lower unqualified join predicates to inner joins in SQL (#28854)
  • Rechunk mask for DataFrame filter (#28762)
  • Improve performance of when/then/otherwise by masking out unevaluated elements (#28498)
  • Drop unused projections in filter on streaming engine (#28713)
  • Retain Parquet Partial metadata on filter (#28737)

✨ Enhancements

  • Support integer fixed-array dot products (#28829)
  • SQL correlated in (#28927)
  • Support more join_types in join_where (#28880)
  • Support Iceberg schema evolution (#28794)
  • SQL conformance (#28494)
  • Introduce RemoteEngine and a common base class for all engines (#28800)
  • Support Iceberg table with V3 deletion vectors in native scan_iceberg (#28772)
  • Support Iceberg snapshot properties (#28793)
  • Expose sinked_paths_callback on sink_parquet as unstable parameter (#28814)
  • Add infer_schema_files to CSV inference hint (#28809)
  • Add native fixed-array dot (#28504)
  • Export query metrics to polars_cloud (#28757)
  • Support Iceberg object storage paths (#28634)
  • More CSEE simplification (#28731)

... (truncated)

Commits
  • 1bd8ec1 Python Polars 1.44.2
  • ccc3842 refactor(rust): Reduce code monomorphization in eager joins (#29087)
  • 22f274b refactor(rust): Reduce serde monomorphization (#29088)
  • b069c83 feat(python): Add organization to Config.enable_monitoring (#29221)
  • d5a00ec ci: Skip tests that are currently failing on windows (#28962)
  • 22dc741 test(python): Update test for latest pyiceberg (#29090)
  • d1a325b fix: Include the library path in the plugin dlopen error message (#29213)
  • 461fe0e feat(python): Add a workspace argument to Config.enable_monitoring (#29196)
  • 0ced41b fix: Wrap IoError in PathIoError such that callers can extract untruncated pa...
  • 3b4075b refactor: Bump object_store for new DnsResolver trait (#29145)
  • Additional commits viewable in compare view

Updates numpyro from 0.21.0 to 0.22.0

Release notes

Sourced from numpyro's releases.

0.22.0

What's Changed

... (truncated)

Commits

Updates arviz from 1.1.0 to 1.3.0

Release notes

Sourced from arviz's releases.

v1.3.0

What's Changed

New Contributors

Full Changelog: arviz-devs/arviz@v1.2.0...v1.3.0

v1.2.0

What's Changed

ArviZ 1.2 builds on the 1.0 release with incremental improvements and no major breaking changes.

The 1.0 ArviZ introduced many breaking changes: See the migration guide for an overview of improvements and guidance on things that will break and how to update them.

For an overview of new features and fixes since the 1.0 release, see the respective changelogs: arviz-base, arviz-stats and arviz-plots

The whole library has been refactored for extra flexibility and modularity as well as reducing the cost of maintaining and adding new features to the library. arviz is now a metapackage that exposes all the common functions that are implemented in independent packages of the ArviZverse. For a detailed list of changes you can check the changelog of each of these packages.

Take a look at the online book on Exploratory Analysis of Bayesian Models to see it in action and at the docs of the 3 ArviZ packages: arviz-base, arviz-stats and arviz-plots (note all the objects at the top level namespace of these 3 libraries are also exposed as arviz.xyz)

Full Changelog: arviz-devs/arviz@v1.1.0...v1.2.0

Commits

Updates beautifulsoup4 from 4.14.3 to 4.15.0

Updates ipykernel from 7.2.0 to 7.3.0

Release notes

Sourced from ipykernel's releases.

v7.3.0

7.3.0

(Full Changelog)

New features added

Enhancements made

Bugs fixed

Maintenance and upkeep improvements

Other merged PRs

Contributors to this release

The following people contributed discussions, new ideas, code and documentation contributions, and review. See our definition of contributors.

(GitHub contributors page for this release)

... (truncated)

Changelog

Sourced from ipykernel's changelog.

7.3.0

(Full Changelog)

New features added

Enhancements made

Bugs fixed

Maintenance and upkeep improvements

Other merged PRs

Contributors to this release

The following people contributed discussions, new ideas, code and documentation contributions, and review. See our definition of contributors.

(GitHub contributors page for this release)

@​adityawasudeo (activity) | @​Carreau (activity) | @​erawn (activity) | @​goelakash (activity) | @​ianthomas23 (activity) | @​JohanMabille (activity) | @​krassowski (activity) | @​minrk (activity) | @​P4X-ng (activity) | @​pelson (activity) | @​rgbkrk (activity)

Commits
  • 5dbd5ce Publish 7.3.0
  • 28e9cf8 chore: update pre-commit hooks (#1508)
  • 4e4f82c Support ZMQ Curve for transport encryption (#1515)
  • b64f597 Merge branch 'main' into curve-encryption
  • 6fc8b58 Fix broken IPython Reference URL in help_links (#1526)
  • cd6f460 Fix typing due to new jupyter_client version
  • b0678ba Update pyproject.toml to depend on jupyter_client 8.9.0 rather than branch
  • 2157ae7 Update tests to reflact rename to "auto"
  • 336971e build docs on latest python (#1525)
  • 7ecb521 Fix tests
  • Additional commits viewable in compare view

Updates mkdocstrings from 1.0.4 to 1.0.6

Release notes

Sourced from mkdocstrings's releases.

1.0.6

1.0.6 - 2026-07-11

Compare with 1.0.5

Bug Fixes

  • Stop propagating Zensical's zrelpath treeprocessor and its preview extension (4732798 by Timothée Mazzucotelli). Issue-zensical-818

1.0.5

1.0.5 - 2026-07-10

Compare with 1.0.4

Bug Fixes

  • Parse inventory project and ...

    Description has been truncated

@dependabot dependabot Bot added dependencies Pull requests that update a dependency file python:uv Pull requests that update python:uv code labels Sep 28, 2026
@dependabot dependabot Bot added dependencies Pull requests that update a dependency file python:uv Pull requests that update python:uv code labels Sep 28, 2026
@dependabot
Bump the uv-minor-patch group across 1 directory with 15 updates
3193678 
Bumps the uv-minor-patch group with 15 updates in the / directory:

| Package | From | To |
| --- | --- | --- |
| [jax](https://github.com/jax-ml/jax) | `0.10.0` | `0.11.2` |
| [numpy](https://github.com/numpy/numpy) | `2.4.6` | `2.5.3` |
| [polars](https://github.com/pola-rs/polars) | `1.40.1` | `1.44.2` |
| [numpyro](https://github.com/pyro-ppl/numpyro) | `0.21.0` | `0.22.0` |
| [arviz](https://github.com/arviz-devs/arviz) | `1.1.0` | `1.3.0` |
| [beautifulsoup4](https://www.crummy.com/software/BeautifulSoup/bs4/) | `4.14.3` | `4.15.0` |
| [ipykernel](https://github.com/ipython/ipykernel) | `7.2.0` | `7.3.0` |
| [mkdocstrings](https://github.com/mkdocstrings/mkdocstrings) | `1.0.4` | `1.0.6` |
| [mkdocstrings-python](https://github.com/mkdocstrings/python) | `2.0.3` | `2.0.9` |
| [pandas](https://github.com/pandas-dev/pandas) | `3.0.3` | `3.0.6` |
| [plotnine](https://github.com/has2k1/plotnine) | `0.15.4` | `0.15.8` |
| [pre-commit](https://github.com/pre-commit/pre-commit) | `4.6.0` | `4.6.2` |
| [pytest](https://github.com/pytest-dev/pytest) | `9.0.3` | `9.1.1` |
| [ruff](https://github.com/astral-sh/ruff) | `0.15.16` | `0.16.9` |
| [scipy](https://github.com/scipy/scipy) | `1.17.1` | `1.18.1` |



Updates `jax` from 0.10.0 to 0.11.2
- [Release notes](https://github.com/jax-ml/jax/releases)
- [Changelog](https://github.com/jax-ml/jax/blob/main/CHANGELOG.md)
- [Commits](jax-ml/jax@jax-v0.10.0...jax-v0.11.2)

Updates `numpy` from 2.4.6 to 2.5.3
- [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...v2.5.3)

Updates `polars` from 1.40.1 to 1.44.2
- [Release notes](https://github.com/pola-rs/polars/releases)
- [Commits](pola-rs/polars@py-1.40.1...py-1.44.2)

Updates `numpyro` from 0.21.0 to 0.22.0
- [Release notes](https://github.com/pyro-ppl/numpyro/releases)
- [Commits](pyro-ppl/numpyro@0.21.0...0.22.0)

Updates `arviz` from 1.1.0 to 1.3.0
- [Release notes](https://github.com/arviz-devs/arviz/releases)
- [Changelog](https://github.com/arviz-devs/arviz/blob/main/CHANGELOG.md)
- [Commits](arviz-devs/arviz@v1.1.0...v1.3.0)

Updates `beautifulsoup4` from 4.14.3 to 4.15.0

Updates `ipykernel` from 7.2.0 to 7.3.0
- [Release notes](https://github.com/ipython/ipykernel/releases)
- [Changelog](https://github.com/ipython/ipykernel/blob/main/CHANGELOG.md)
- [Commits](ipython/ipykernel@v7.2.0...v7.3.0)

Updates `mkdocstrings` from 1.0.4 to 1.0.6
- [Release notes](https://github.com/mkdocstrings/mkdocstrings/releases)
- [Changelog](https://github.com/mkdocstrings/mkdocstrings/blob/main/CHANGELOG.md)
- [Commits](mkdocstrings/mkdocstrings@1.0.4...1.0.6)

Updates `mkdocstrings-python` from 2.0.3 to 2.0.9
- [Release notes](https://github.com/mkdocstrings/python/releases)
- [Changelog](https://github.com/mkdocstrings/python/blob/main/CHANGELOG.md)
- [Commits](mkdocstrings/python@2.0.3...2.0.9)

Updates `pandas` from 3.0.3 to 3.0.6
- [Release notes](https://github.com/pandas-dev/pandas/releases)
- [Commits](pandas-dev/pandas@v3.0.3...v3.0.6)

Updates `plotnine` from 0.15.4 to 0.15.8
- [Release notes](https://github.com/has2k1/plotnine/releases)
- [Changelog](https://github.com/has2k1/plotnine/blob/v0.15.8/doc/changelog.qmd)
- [Commits](has2k1/plotnine@v0.15.4...v0.15.8)

Updates `pre-commit` from 4.6.0 to 4.6.2
- [Release notes](https://github.com/pre-commit/pre-commit/releases)
- [Changelog](https://github.com/pre-commit/pre-commit/blob/main/CHANGELOG.md)
- [Commits](pre-commit/pre-commit@v4.6.0...v4.6.2)

Updates `pytest` from 9.0.3 to 9.1.1
- [Release notes](https://github.com/pytest-dev/pytest/releases)
- [Changelog](https://github.com/pytest-dev/pytest/blob/main/CHANGELOG.rst)
- [Commits](pytest-dev/pytest@9.0.3...9.1.1)

Updates `ruff` from 0.15.16 to 0.16.9
- [Release notes](https://github.com/astral-sh/ruff/releases)
- [Changelog](https://github.com/astral-sh/ruff/blob/main/CHANGELOG.md)
- [Commits](astral-sh/ruff@0.15.16...0.16.9)

Updates `scipy` from 1.17.1 to 1.18.1
- [Release notes](https://github.com/scipy/scipy/releases)
- [Commits](scipy/scipy@v1.17.1...v1.18.1)

---
updated-dependencies:
- dependency-name: arviz
  dependency-version: 1.3.0
  dependency-type: direct:development
  update-type: version-update:semver-minor
  dependency-group: uv-minor-patch
- dependency-name: beautifulsoup4
  dependency-version: 4.15.0
  dependency-type: direct:development
  update-type: version-update:semver-minor
  dependency-group: uv-minor-patch
- dependency-name: ipykernel
  dependency-version: 7.3.0
  dependency-type: direct:development
  update-type: version-update:semver-minor
  dependency-group: uv-minor-patch
- dependency-name: jax
  dependency-version: 0.11.2
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: uv-minor-patch
- dependency-name: mkdocstrings
  dependency-version: 1.0.6
  dependency-type: direct:development
  update-type: version-update:semver-patch
  dependency-group: uv-minor-patch
- dependency-name: mkdocstrings-python
  dependency-version: 2.0.9
  dependency-type: direct:development
  update-type: version-update:semver-patch
  dependency-group: uv-minor-patch
- dependency-name: numpy
  dependency-version: 2.5.3
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: uv-minor-patch
- dependency-name: numpyro
  dependency-version: 0.22.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: uv-minor-patch
- dependency-name: pandas
  dependency-version: 3.0.6
  dependency-type: direct:development
  update-type: version-update:semver-patch
  dependency-group: uv-minor-patch
- dependency-name: plotnine
  dependency-version: 0.15.8
  dependency-type: direct:development
  update-type: version-update:semver-patch
  dependency-group: uv-minor-patch
- dependency-name: polars
  dependency-version: 1.44.2
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: uv-minor-patch
- dependency-name: pre-commit
  dependency-version: 4.6.2
  dependency-type: direct:development
  update-type: version-update:semver-patch
  dependency-group: uv-minor-patch
- dependency-name: pytest
  dependency-version: 9.1.1
  dependency-type: direct:development
  update-type: version-update:semver-minor
  dependency-group: uv-minor-patch
- dependency-name: ruff
  dependency-version: 0.16.8
  dependency-type: direct:development
  update-type: version-update:semver-minor
  dependency-group: uv-minor-patch
- dependency-name: scipy
  dependency-version: 1.18.1
  dependency-type: direct:development
  update-type: version-update:semver-minor
  dependency-group: uv-minor-patch
...

Signed-off-by: dependabot[bot] <support@github.com>
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dependabot Bot force-pushed the dependabot/uv/uv-minor-patch-943b618a8d branch from ff291e1 to 3193678 Compare October 5, 2026 13:43
@cdc-mitzimorris

cdc-mitzimorris commented Oct 5, 2026

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This pull request was built based on a group rule. Closing it will not ignore any of these versions in future pull requests.

To ignore these dependencies, configure ignore rules in dependabot.yml

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dependabot Bot deleted the dependabot/uv/uv-minor-patch-943b618a8d branch October 5, 2026 17:46
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@dylanhmorris dylanhmorris Awaiting requested review from dylanhmorris dylanhmorris is a code owner
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@cdc-mitzimorris cdc-mitzimorris Awaiting requested review from cdc-mitzimorris cdc-mitzimorris is a code owner

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