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Merged
renovate merged 1 commit into from
Jun 28, 2025
Merged

chore(deps): update dev-dependencies #122

renovate merged 1 commit into from
Jun 28, 2025

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@renovate renovate bot commented Jun 28, 2025

This PR contains the following updates:

Package Change Age Adoption Passing Confidence
numpy (changelog) ^2.2.6 -> ^2.3.1 age adoption passing confidence
ruff (source, changelog) ^0.11.12 -> ^0.12.1 age adoption passing confidence

Release Notes

numpy/numpy (numpy)

v2.3.1

Compare Source

v2.3.0: (June 7, 2025)

Compare Source

NumPy 2.3.0 Release Notes

The NumPy 2.3.0 release continues the work to improve free threaded
Python support and annotations together with the usual set of bug fixes.
It is unusual in the number of expired deprecations, code
modernizations, and style cleanups. The latter may not be visible to
users, but is important for code maintenance over the long term. Note
that we have also upgraded from manylinux2014 to manylinux_2_28.

Users running on a Mac having an M4 cpu might see various warnings about
invalid values and such. The warnings are a known problem with
Accelerate. They are annoying, but otherwise harmless. Apple promises to
fix them.

This release supports Python versions 3.11-3.13, Python 3.14 will be
supported when it is released.

Highlights

  • Interactive examples in the NumPy documentation.
  • Building NumPy with OpenMP Parallelization.
  • Preliminary support for Windows on ARM.
  • Improved support for free threaded Python.
  • Improved annotations.

New functions

New function numpy.strings.slice

The new function numpy.strings.slice was added, which implements fast
native slicing of string arrays. It supports the full slicing API
including negative slice offsets and steps.

(gh-27789)

Deprecations

  • The numpy.typing.mypy_plugin has been deprecated in favor of
    platform-agnostic static type inference. Please remove
    numpy.typing.mypy_plugin from the plugins section of your mypy
    configuration. If this change results in new errors being reported,
    kindly open an issue.

    (gh-28129)

  • The numpy.typing.NBitBase type has been deprecated and will be
    removed in a future version.

    This type was previously intended to be used as a generic upper
    bound for type-parameters, for example:

    import numpy as np
import numpy.typing as npt

def f[NT: npt.NBitBase](x: np.complexfloating[NT]) -> np.floating[NT]: ...

    But in NumPy 2.2.0, float64 and complex128 were changed to
    concrete subtypes, causing static type-checkers to reject
    x: np.float64 = f(np.complex128(42j)).

    So instead, the better approach is to use typing.overload:

    import numpy as np
from typing import overload

@​overload
def f(x: np.complex64) -> np.float32: ...
@​overload
def f(x: np.complex128) -> np.float64: ...
@​overload
def f(x: np.clongdouble) -> np.longdouble: ...

    (gh-28884)

Expired deprecations

  • Remove deprecated macros like NPY_OWNDATA from Cython interfaces
    in favor of NPY_ARRAY_OWNDATA (deprecated since 1.7)

    (gh-28254)

  • Remove numpy/npy_1_7_deprecated_api.h and C macros like
    NPY_OWNDATA in favor of NPY_ARRAY_OWNDATA (deprecated since 1.7)

    (gh-28254)

  • Remove alias generate_divbyzero_error to
    npy_set_floatstatus_divbyzero and generate_overflow_error to
    npy_set_floatstatus_overflow (deprecated since 1.10)

    (gh-28254)

  • Remove np.tostring (deprecated since 1.19)

    (gh-28254)

  • Raise on np.conjugate of non-numeric types (deprecated since 1.13)

    (gh-28254)

  • Raise when using np.bincount(...minlength=None), use 0 instead
    (deprecated since 1.14)

    (gh-28254)

  • Passing shape=None to functions with a non-optional shape argument
    errors, use () instead (deprecated since 1.20)

    (gh-28254)

  • Inexact matches for mode and searchside raise (deprecated since
    1.20)

    (gh-28254)

  • Setting __array_finalize__ = None errors (deprecated since 1.23)

    (gh-28254)

  • np.fromfile and np.fromstring error on bad data, previously they
    would guess (deprecated since 1.18)

    (gh-28254)

  • datetime64 and timedelta64 construction with a tuple no longer
    accepts an event value, either use a two-tuple of (unit, num) or a
    4-tuple of (unit, num, den, 1) (deprecated since 1.14)

    (gh-28254)

  • When constructing a dtype from a class with a dtype attribute,
    that attribute must be a dtype-instance rather than a thing that can
    be parsed as a dtype instance (deprecated in 1.19). At some point
    the whole construct of using a dtype attribute will be deprecated
    (see #​25306)

    (gh-28254)

  • Passing booleans as partition index errors (deprecated since 1.23)

    (gh-28254)

  • Out-of-bounds indexes error even on empty arrays (deprecated since
    1.20)

    (gh-28254)

  • np.tostring has been removed, use tobytes instead (deprecated
    since 1.19)

    (gh-28254)

  • Disallow make a non-writeable array writeable for arrays with a base
    that do not own their data (deprecated since 1.17)

    (gh-28254)

  • concatenate() with axis=None uses same-kind casting by
    default, not unsafe (deprecated since 1.20)

    (gh-28254)

  • Unpickling a scalar with object dtype errors (deprecated since 1.20)

    (gh-28254)

  • The binary mode of fromstring now errors, use frombuffer instead
    (deprecated since 1.14)

    (gh-28254)

  • Converting np.inexact or np.floating to a dtype errors
    (deprecated since 1.19)

    (gh-28254)

  • Converting np.complex, np.integer, np.signedinteger,
    np.unsignedinteger, np.generic to a dtype errors (deprecated
    since 1.19)

    (gh-28254)

  • The Python built-in round errors for complex scalars. Use
    np.round or scalar.round instead (deprecated since 1.19)

    (gh-28254)

  • 'np.bool' scalars can no longer be interpreted as an index
    (deprecated since 1.19)

    (gh-28254)

  • Parsing an integer via a float string is no longer supported.
    (deprecated since 1.23) To avoid this error you can

    • make sure the original data is stored as integers.
    • use the converters=float keyword argument.
    • Use np.loadtxt(...).astype(np.int64)

    (gh-28254)

  • The use of a length 1 tuple for the ufunc signature errors. Use
    dtype or fill the tuple with None (deprecated since 1.19)

    (gh-28254)

  • Special handling of matrix is in np.outer is removed. Convert to a
    ndarray via matrix.A (deprecated since 1.20)

    (gh-28254)

  • Removed the np.compat package source code (removed in 2.0)

    (gh-28961)

C API changes

  • NpyIter_GetTransferFlags is now available to check if the iterator
    needs the Python API or if casts may cause floating point errors
    (FPE). FPEs can for example be set when casting float64(1e300) to
    float32 (overflow to infinity) or a NaN to an integer (invalid
    value).

    (gh-27883)

  • NpyIter now has no limit on the number of operands it supports.

    (gh-28080)

New NpyIter_GetTransferFlags and NpyIter_IterationNeedsAPI change

NumPy now has the new NpyIter_GetTransferFlags function as a more
precise way checking of iterator/buffering needs. I.e. whether the
Python API/GIL is required or floating point errors may occur. This
function is also faster if you already know your needs without
buffering.

The NpyIter_IterationNeedsAPI function now performs all the checks
that were previously performed at setup time. While it was never
necessary to call it multiple times, doing so will now have a larger
cost.

(gh-27998)

New Features

  • The type parameter of np.dtype now defaults to typing.Any. This
    way, static type-checkers will infer dtype: np.dtype as
    dtype: np.dtype[Any], without reporting an error.

    (gh-28669)

  • Static type-checkers now interpret:

    • _: np.ndarray as _: npt.NDArray[typing.Any].
    • _: np.flatiter as _: np.flatiter[np.ndarray].

    This is because their type parameters now have default values.

    (gh-28940)

NumPy now registers its pkg-config paths with the pkgconf PyPI package

The pkgconf PyPI
package provides an interface for projects like NumPy to register their
own paths to be added to the pkg-config search path. This means that
when using pkgconf
from PyPI, NumPy will be discoverable without needing for any custom
environment configuration.

[!NOTE]
This only applies when using the pkgconf package from PyPI,
or put another way, this only applies when installing pkgconf via a
Python package manager.

If you are using pkg-config or pkgconf provided by your system,
or any other source that does not use the pkgconf-pypi
project, the NumPy pkg-config directory will not be automatically added
to the search path. In these situations, you might want to use numpy-config.

(gh-28214)

Allow out=... in ufuncs to ensure array result

NumPy has the sometimes difficult behavior that it currently usually
returns scalars rather than 0-D arrays (even if the inputs were 0-D
arrays). This is especially problematic for non-numerical dtypes (e.g.
object).

For ufuncs (i.e. most simple math functions) it is now possible to use
out=... (literally `...`, e.g. out=Ellipsis) which is identical
in behavior to out not being passed, but will ensure a non-scalar
return. This spelling is borrowed from arr1d[0, ...] where the ...
also ensures a non-scalar return.

Other functions with an out= kwarg should gain support eventually.
Downstream libraries that interoperate via __array_ufunc__ or
__array_function__ may need to adapt to support this.

(gh-28576)

Building NumPy with OpenMP Parallelization

NumPy now supports OpenMP parallel processing capabilities when built
with the -Denable_openmp=true Meson build flag. This feature is
disabled by default. When enabled, np.sort and np.argsort functions
can utilize OpenMP for parallel thread execution, improving performance
for these operations.

(gh-28619)

Interactive examples in the NumPy documentation

The NumPy documentation includes a number of examples that can now be
run interactively in your browser using WebAssembly and Pyodide.

Please note that the examples are currently experimental in nature and
may not work as expected for all methods in the public API.

(gh-26745)

Improvements

  • Scalar comparisons between non-comparable dtypes such as
    np.array(1) == np.array('s') now return a NumPy bool instead of a
    Python bool.

    (gh-27288)

  • np.nditer now has no limit on the number of supported operands
    (C-integer).

    (gh-28080)

  • No-copy pickling is now supported for any array that can be
    transposed to a C-contiguous array.

    (gh-28105)

  • The __repr__ for user-defined dtypes now prefers the __name__ of
    the custom dtype over a more generic name constructed from its
    kind and itemsize.

    (gh-28250)

  • np.dot now reports floating point exceptions.

    (gh-28442)

  • np.dtypes.StringDType is now a generic
    type     which
    accepts a type argument for na_object that defaults to
    typing.Never. For example, StringDType(na_object=None) returns a
    StringDType[None], and StringDType() returns a
    StringDType[typing.Never].

    (gh-28856)

Added warnings to np.isclose

Added warning messages if at least one of atol or rtol are either
np.nan or np.inf within np.isclose.

  • Warnings follow the user's np.seterr settings

(gh-28205)

Performance improvements and changes

Performance improvements to np.unique

np.unique now tries to use a hash table to find unique values instead
of sorting values before finding unique values. This is limited to
certain dtypes for now, and the function is now faster for those dtypes.
The function now also exposes a sorted parameter to allow returning
unique values as they were found, instead of sorting them afterwards.

(gh-26018)

Performance improvements to np.sort and np.argsort

np.sort and np.argsort functions now can leverage OpenMP for
parallel thread execution, resulting in up to 3.5x speedups on x86
architectures with AVX2 or AVX-512 instructions. This opt-in feature
requires NumPy to be built with the -Denable_openmp Meson flag. Users
can control the number of threads used by setting the OMP_NUM_THREADS
environment variable.

(gh-28619)

Performance improvements for np.float16 casts

Earlier, floating point casts to and from np.float16 types were
emulated in software on all platforms.

Now, on ARM devices that support Neon float16 intrinsics (such as recent
Apple Silicon), the native float16 path is used to achieve the best
performance.

(gh-28769)

Changes

  • The vector norm ord=inf and the matrix norms
    ord={1, 2, inf, 'nuc'} now always returns zero for empty arrays.
    Empty arrays have at least one axis of size zero. This affects
    np.linalg.norm, np.linalg.vector_norm, and
    np.linalg.matrix_norm. Previously, NumPy would raises errors or
    return zero depending on the shape of the array.

    (gh-28343)

  • A spelling error in the error message returned when converting a
    string to a float with the method np.format_float_positional has
    been fixed.

    (gh-28569)

  • NumPy's __array_api_version__ was upgraded from 2023.12 to
    2024.12.

  • numpy.count_nonzero for axis=None (default) now returns a NumPy
    scalar instead of a Python integer.

  • The parameter axis in numpy.take_along_axis function has now a
    default value of -1.

    (gh-28615)

  • Printing of np.float16 and np.float32 scalars and arrays have
    been improved by adjusting the transition to scientific notation
    based on the floating point precision. A new legacy
    np.printoptions mode '2.2' has been added for backwards
    compatibility.

    (gh-28703)

  • Multiplication between a string and integer now raises OverflowError
    instead of MemoryError if the result of the multiplication would
    create a string that is too large to be represented. This follows
    Python's behavior.

    (gh-29060)

unique_values may return unsorted data

The relatively new function (added in NumPy 2.0) unique_values may now
return unsorted results. Just as unique_counts and unique_all these
never guaranteed a sorted result, however, the result was sorted until
now. In cases where these do return a sorted result, this may change in
future releases to improve performance.

(gh-26018)

Changes to the main iterator and potential numerical changes

The main iterator, used in math functions and via np.nditer from
Python and NpyIter in C, now behaves differently for some buffered
iterations. This means that:

  • The buffer size used will often be smaller than the maximum buffer
    sized allowed by the buffersize parameter.
  • The "growinner" flag is now honored with buffered reductions when
    no operand requires buffering.

For np.sum() such changes in buffersize may slightly change numerical
results of floating point operations. Users who use "growinner" for
custom reductions could notice changes in precision (for example, in
NumPy we removed it from einsum to avoid most precision changes and
improve precision for some 64bit floating point inputs).

(gh-27883)

The minimum supported GCC version is now 9.3.0

The minimum supported version was updated from 8.4.0 to 9.3.0, primarily
in order to reduce the chance of platform-specific bugs in old GCC
versions from causing issues.

(gh-28102)

Changes to automatic bin selection in numpy.histogram

The automatic bin selection algorithm in numpy.histogram has been
modified to avoid out-of-memory errors for samples with low variation.
For full control over the selected bins the user can use set the bin
or range parameters of numpy.histogram.

(gh-28426)

Build manylinux_2_28 wheels

Wheels for linux systems will use the manylinux_2_28 tag (instead of
the manylinux2014 tag), which means dropping support for
redhat7/centos7, amazonlinux2, debian9, ubuntu18.04, and other
pre-glibc2.28 operating system versions, as per the PEP 600 support
table.

(gh-28436)

Remove use of -Wl,-ld_classic on macOS

Remove use of -Wl,-ld_classic on macOS. This hack is no longer needed by
Spack, and results in libraries that cannot link to other libraries
built with ld (new).

(gh-28713)

Re-enable overriding functions in the numpy.strings

Re-enable overriding functions in the numpy.strings module.

(gh-28741)

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astral-sh/ruff (ruff)

v0.12.1

Compare Source

Preview features
  • [flake8-errmsg] Extend EM101 to support byte strings (#​18867)
  • [flake8-use-pathlib] Add autofix for PTH202 (#​18763)
  • [pygrep-hooks] Add AsyncMock methods to invalid-mock-access (PGH005) (#​18547)
  • [pylint] Ignore __init__.py files in (PLC0414) (#​18400)
  • [ruff] Trigger RUF037 for empty string and byte strings (#​18862)
  • [formatter] Fix missing blank lines before decorated classes in .pyi files (#​18888)
Bug fixes
  • Avoid generating diagnostics with per-file ignores (#​18801)
  • Handle parenthesized arguments in remove_argument (#​18805)
  • [flake8-logging] Avoid false positive for exc_info=True outside logger.exception (LOG014) (#​18737)
  • [flake8-pytest-style] Enforce pytest import for decorators (#​18779)
  • [flake8-pytest-style] Mark autofix for PT001 and PT023 as unsafe if there's comments in the decorator (#​18792)
  • [flake8-pytest-style] PT001/PT023 fix makes syntax error on parenthesized decorator (#​18782)
  • [flake8-raise] Make fix unsafe if it deletes comments (RSE102) (#​18788)
  • [flake8-simplify] Fix SIM911 autofix creating a syntax error (#​18793)
  • [flake8-simplify] Fix false negatives for shadowed bindings (SIM910, SIM911) (#​18794)
  • [flake8-simplify] Preserve original behavior for except () and bare except (SIM105) (#​18213)
  • [flake8-pyi] Fix PYI041's fix causing TypeError with None | None | ... (#​18637)
  • [perflint] Fix PERF101 autofix creating a syntax error and mark autofix as unsafe if there are comments in the list call expr (#​18803)
  • [perflint] Fix false negative in PERF401 (#​18866)
  • [pylint] Avoid flattening nested min/max when outer call has single argument (PLW3301) (#​16885)
  • [pylint] Fix PLC2801 autofix creating a syntax error (#​18857)
  • [pylint] Mark PLE0241 autofix as unsafe if there's comments in the base classes (#​18832)
  • [pylint] Suppress PLE2510/PLE2512/PLE2513/PLE2514/PLE2515 autofix if the text contains an odd number of backslashes (#​18856)
  • [refurb] Detect more exotic float literals in FURB164 (#​18925)
  • [refurb] Fix FURB163 autofix creating a syntax error for yield expressions (#​18756)
  • [refurb] Mark FURB129 autofix as unsafe if there's comments in the readlines call (#​18858)
  • [ruff] Fix false positives and negatives in RUF010 (#​18690)
  • Fix casing of analyze.direction variant names (#​18892)
Rule changes
  • Fix f-string interpolation escaping in generated fixes (#​18882)
  • [flake8-return] Mark RET501 fix unsafe if comments are inside (#​18780)
  • [flake8-async] Fix detection for large integer sleep durations in ASYNC116 rule (#​18767)
  • [flake8-async] Mark autofix for ASYNC115 as unsafe if the call expression contains comments (#​18753)
  • [flake8-bugbear] Mark autofix for B004 as unsafe if the hasattr call expr contains comments (#​18755)
  • [flake8-comprehension] Mark autofix for C420 as unsafe if there's comments inside the dict comprehension (#​18768)
  • [flake8-comprehensions] Handle template strings for comprehension fixes (#​18710)
  • [flake8-future-annotations] Add autofix (FA100) (#​18903)
  • [pyflakes] Mark F504/F522/F523 autofix as unsafe if there's a call with side effect (#​18839)
  • [pylint] Allow fix with comments and document performance implications (PLW3301) (#​18936)
  • [pylint] Detect more exotic NaN literals in PLW0177 (#​18630)
  • [pylint] Fix PLC1802 autofix creating a syntax error and mark autofix as unsafe if there's comments in the len call (#​18836)
  • [pyupgrade] Extend version detection to include sys.version_info.major (UP036) (#​18633)
  • [ruff] Add lint rule RUF064 for calling chmod with non-octal integers (#​18541)
  • [ruff] Added cls.__dict__.get('__annotations__') check (RUF063) (#​18233)
  • [ruff] Frozen dataclass default should be valid (RUF009) (#​18735)
Server
  • Consider virtual path for various server actions (#​18910)
Documentation
Other changes
  • Disallow newlines in format specifiers of single quoted f- or t-strings (#​18708)
  • [flake8-logging] Add fix safety section to LOG002 (#​18840)
  • [pyupgrade] Add fix safety section to UP010 (#​18838)

v0.12.0

Compare Source

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

Breaking changes

  • Detection of more syntax errors

    Ruff now detects version-related syntax errors, such as the use of the match
    statement on Python versions before 3.10, and syntax errors emitted by
    CPython's compiler, such as irrefutable match patterns before the final
    case arm.

  • New default Python version handling for syntax errors

    Ruff will default to the latest supported Python version (3.13) when
    checking for the version-related syntax errors mentioned above to prevent
    false positives in projects without a Python version configured. The default
    in all other cases, like applying lint rules, is unchanged and remains at the
    minimum supported Python version (3.9).

  • Updated f-string formatting

    Ruff now formats multi-line f-strings with format specifiers to avoid adding a
    line break after the format specifier. This addresses a change to the Python
    grammar in version 3.13.4 that made such a line break a syntax error.

  • rust-toolchain.toml is no longer included in source distributions

    The rust-toolchain.toml is used to specify a higher Rust version than Ruff's
    minimum supported Rust version (MSRV) for development and building release
    artifacts. However, when present in source distributions, it would also cause
    downstream package maintainers to pull in the same Rust toolchain, even if
    their available toolchain was MSRV-compatible.

Removed Rules

The following rules have been removed:

Deprecated Rules

The following rules have been deprecated:

Stabilization

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

The following behaviors have been stabilized:

  • [collection-literal-concatenation] (RUF005) now recognizes slices, in
    addition to list literals and variables.
  • The fix for [readlines-in-for] (FURB129) is now marked as always safe.
  • [if-else-block-instead-of-if-exp] (SIM108) will now further simplify
    expressions to use or instead of an if expression, where possible.
  • [unused-noqa] (RUF100) now checks for file-level noqa comments as well
    as inline comments.
  • [subprocess-without-shell-equals-true] (S603) now accepts literal strings,
    as well as lists and tuples of literal strings, as trusted input.
  • [boolean-type-hint-positional-argument] (FBT001) now applies to types that
    include bool, like bool | int or typing.Optional[bool], in addition to
    plain bool annotations.
  • [non-pep604-annotation-union] (UP007) has now been split into two rules.
    UP007 now applies only to typing.Union, while
    [non-pep604-annotation-optional] (UP045) checks for use of
    typing.Optional. UP045 has also been stabilized in this release, but you
    may need to update existing include, ignore, or noqa settings to
    accommodate this change.
Preview features
  • [ruff] Check for non-context-manager use of pytest.raises, pytest.warns, and pytest.deprecated_call (RUF061) (#​17368)
  • [syntax-errors] Raise unsupported syntax error for template strings prior to Python 3.14 (#​18664)
Bug fixes
  • Add syntax error when conversion flag does not immediately follow exclamation mark (#​18706)
  • Add trailing space around readlines (#​18542)
  • Fix \r and \r\n handling in t- and f-string debug texts (#​18673)
  • Hug closing } when f-string expression has a format specifier (#​18704)
  • [flake8-pyi] Avoid syntax error in the case of starred and keyword arguments (PYI059) (#​18611)
  • [flake8-return] Fix RET504 autofix generating a syntax error (#​18428)
  • [pep8-naming] Suppress fix for N804 and N805 if the recommended name is already used (#​18472)
  • [pycodestyle] Avoid causing a syntax error in expressions spanning multiple lines (E731) (#​18479)
  • [pyupgrade] Suppress UP008 if super is shadowed (#​18688)
  • [refurb] Parenthesize lambda and ternary expressions (FURB122, FURB142) (#​18592)
  • [ruff] Handle extra arguments to deque (RUF037) (#​18614)
  • [ruff] Preserve parentheses around deque in fix for unnecessary-empty-iterable-within-deque-call (RUF037) (#​18598)
  • [ruff] Validate arguments before offering a fix (RUF056) (#​18631)
  • [ruff] Skip fix for RUF059 if dummy name is already bound (#​18509)
  • [pylint] Fix PLW0128 to check assignment targets in square brackets and after asterisks (#​18665)
Rule changes
  • Fix false positive on mutations in return statements (B909) (#​18408)
  • Treat ty: comments as pragma comments (#​18532)
  • [flake8-pyi] Apply custom-typevar-for-self to string annotations (PYI019) (#​18311)
  • [pyupgrade] Don't offer a fix for Optional[None] (UP007, UP045) (#​18545)
  • [pyupgrade] Fix super(__class__, self) detection (UP008) (#​18478)
  • [refurb] Make the fix for FURB163 unsafe for log2, log10, *args, and deleted comments (#​18645)
Server
Documentation
  • Drop confusing second * from glob pattern example for per-file-target-version (#​18709)
  • Update Neovim configuration examples (#​18491)
  • [pylint] De-emphasize __hash__ = Parent.__hash__ (PLW1641) (#​18613)
  • [refurb] Add a note about float literal handling (FURB157) (#​18615)

v0.11.13

Compare Source

Preview features
Bug fixes
  • [perflint] Fix missing parentheses for lambda and ternary conditions (PERF401, PERF403) (#​18412)
  • [pyupgrade] Apply UP035 only on py313+ for get_type_hints() (#​18476)
  • [pyupgrade] Make fix unsafe if it deletes comments (UP004,UP050) (#​18393, #​18390)
Rule changes
  • [fastapi] Avoid false positive for class dependencies (FAST003) (#​18271)
Documentation
  • Update editor setup docs for Neovim and Vim (#​18324)
Other changes
  • Support Python 3.14 template strings (t-strings) in formatter and parser (#​17851)

Configuration

📅 Schedule: Branch creation - "before 6am on Saturday every 4 weeks of the year starting on the 2th week" (UTC), Automerge - At any time (no schedule defined).

🚦 Automerge: Enabled.

♻ Rebasing: Whenever PR is behind base branch, or you tick the rebase/retry checkbox.

👻 Immortal: This PR will be recreated if closed unmerged. Get config help if that's undesired.

  • If you want to rebase/retry this PR, check this box

This PR was generated by Mend Renovate. View the repository job log.

@renovate renovate bot merged commit 179a243 into main Jun 28, 2025
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@renovate renovate bot deleted the renovate/dev-dependencies branch June 28, 2025 06:04
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