fix(deps): update all non-major dependencies by renovate[bot] · Pull Request #434 · cemsbv/pygef

renovate · 2025-07-29T17:55:27Z

ℹ️ Note

This PR body was truncated due to platform limits.

This PR contains the following updates:

Package	Change	Type	Update
affine	`==3.0b1` → `==3.0rc3`		patch
asttokens	`==3.0.0` → `==3.0.1`		patch
babel (source)	`==2.17.0` → `==2.18.0`		minor
black (changelog)	`==25.1.0` → `==25.12.0`	project.optional-dependencies	minor
black (changelog)	`==25.1.0` → `==25.12.0`		minor
certifi	`==2025.10.5` → `==2025.11.12`		minor
click (changelog)	`==8.3.0` → `==8.3.1`		patch
contextily	`==1.6.2` → `==1.7.0`		minor
docutils (changelog)	`==0.21.2` → `==0.22.4`		minor
fonttools	`==4.61.0` → `==4.61.1`		patch
gef-file-to-map	`==1.0.0` → `==1.0.1`		patch
ipython	`==9.6.0` → `==9.10.0`		minor
joblib	`==1.5.2` → `==1.5.3`		patch
matplotlib	`==3.10.7` → `==3.10.8`		patch
numpy (changelog)	`==2.3.4` → `==2.4.2`		minor
parso	`==0.8.5` → `==0.8.6`		patch
pillow (changelog)	`==12.0.0` → `==12.1.1`		minor
platformdirs (changelog)	`==4.5.0` → `==4.9.2`		minor
polars (changelog)	`==1.35.1` → `==1.38.1`		minor
polars-runtime-32 (changelog)	`==1.35.1` → `==1.38.1`		minor
pyparsing	`==3.3.0a1` → `==3.3.2`		patch
pytest (changelog)	`==9.0.0` → `==9.0.2`		patch
python	`3.13` → `3.14`	uses-with	minor
rasterio	`==1.4.3` → `==1.5.0`		minor
sphinx-autodoc-typehints (changelog)	`==3.5.2` → `==3.7.0`		minor
sphinx-rtd-theme	`==3.0.2` → `==3.1.0`		minor
urllib3 (changelog)	`==2.5.0` → `==2.6.3`		minor
wcwidth	`==0.2.14` → `==0.6.0`		minor
xyzservices	`==2025.10.0` → `==2025.11.0`		minor

Release Notes

rasterio/affine (affine)

`v3.0rc3`

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The single file module affine.py has been moved to affine/init.py so that
a py.typed file can be distributed in the same directory (#136).

`v3.0rc2`

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3.0rc1 tagged the wrong commit. The distributions on PyPI have the correct
version, but the GitHub release does not. This is fixed by 3.0rc2, which makes
no other changes.

`v3.0rc1`

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This is the first 3.0 release candidate. There are no significant changes
since 3.0b1.

gristlabs/asttokens (asttokens)

`v3.0.1`

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python-babel/babel (babel)

`v2.18.0`

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Happy 2026! This release is, coincidentally, also being made from FOSDEM.

We will aspire for a slightly less glacial release cadence in this year;
there are interesting features in the pipeline.

Features


* Core: Add `babel.core.get_cldr_version()` by @&#8203;akx in :gh:`1242`
* Core: Use CLDR 47 by @&#8203;tomasr8 in :gh:`1210`
* Core: Use canonical IANA zone names in zone_territories by @&#8203;akx in :gh:`1220`
* Messages: Improve extract performance via ignoring directories early during os.walk by @&#8203;akx in :gh:`968`
* Messages: Merge in per-format keywords and auto_comments by @&#8203;akx in :gh:`1243`
* Messages: Update keywords for extraction of dpgettext and dnpgettext by @&#8203;mardiros in :gh:`1235`
* Messages: Validate all plurals in Python format checker by @&#8203;tomasr8 in :gh:`1188`
* Time: Use standard library `timezone` instead of `FixedOffsetTimezone` by @&#8203;akx in :gh:`1203`

Bugfixes

Core: Fix formatting for "Empty locale identifier" exception added in #1164 by @akx in :gh:1184
Core: Improve handling of no-inheritance-marker in timezone data by @akx in :gh:1194
Core: Make the number pattern regular expression more efficient by @akx in :gh:1213
Messages: Keep translator comments next to the translation function call by @akx in :gh:1196
Numbers: Fix KeyError that occurred when formatting compact currencies of exactly one thousand in several locales by @bartbroere in :gh:1246

Other improvements


* Core: Avoid unnecessary uses of `map()` by @&#8203;akx in :gh:`1180`
* Messages: Have init-catalog create directories too by @&#8203;akx in :gh:`1244`
* Messages: Optimizations for read_po by @&#8203;akx in :gh:`1200`
* Messages: Use pathlib.Path() in catalog frontend; improve test coverage by @&#8203;akx in :gh:`1204`

Infrastructure and documentation

CI: Renovate CI & lint tools by @akx in :gh:1228
CI: Tighten up CI with Zizmor by @akx in :gh:1230
CI: make job permissions explicit by @akx in :gh:1227
Docs: Add SECURITY.md by @akx in :gh:1229
Docs: Remove u string prefix from docs by @verhovsky in :gh:1174
Docs: Update dates.rst with current unicode.org tr35 link by @clach04 in :gh:1189
General: Add some PyPI classifiers by @tomasr8 in :gh:1186
General: Apply reformatting by hand and with Ruff by @akx in :gh:1202
General: Test on and declare support for Python 3.14 by @akx in :gh:1233
Tests: Convert Unittest testcases with setup/teardown to fixtures by @akx in :gh:1240
Tests: Mark PyPy CI flake as xfail by @akx in :gh:1197
Tests: Move pytest config to pyproject.toml by @tomasr8 in :gh:1187
Tests: Unwrap most unittest test cases to bare functions by @akx in :gh:1241

psf/black (black)

`v25.12.0`

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Highlights

Black no longer supports running with Python 3.9 (#4842)

Stable style

Fix bug where comments preceding # fmt: off/# fmt: on blocks were incorrectly
removed, particularly affecting Jupytext's # %% [markdown] comments (#4845)
Fix crash when multiple # fmt: skip comments are used in a multi-part if-clause, on
string literals, or on dictionary entries with long lines (#4872)
Fix possible crash when fmt: directives aren't on the top level (#4856)

Preview style

Fix fmt: skip skipping the line after instead of the line it's on (#4855)
Remove unnecessary parentheses from the left-hand side of assignments while preserving
magic trailing commas and intentional multiline formatting (#4865)
Fix fix_fmt_skip_in_one_liners crashing on with statements (#4853)
Fix fix_fmt_skip_in_one_liners crashing on annotated parameters (#4854)
Fix new lines being added after imports with # fmt: skip on them (#4894)

Packaging

Releases now include arm64 Windows binaries and wheels (#4814)

Integrations

Add output-file input to GitHub Action psf/black to write formatter output to a
file for artifact capture and log cleanliness (#4824)

`v25.11.0`

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Highlights

Enable base 3.14 support (#4804)
Add support for the new Python 3.14 t-string syntax introduced by PEP 750 (#4805)

Stable style

Fix bug where comments between # fmt: off and # fmt: on were reformatted (#4811)
Comments containing fmt directives now preserve their exact formatting instead of
being normalized (#4811)

Preview style

Move multiline_string_handling from --unstable to --preview (#4760)
Fix bug where module docstrings would be treated as normal strings if preceded by
comments (#4764)
Fix bug where python 3.12 generics syntax split line happens weirdly (#4777)
Standardize type comments to form # type: <value> (#4645)
Fix fix_fmt_skip_in_one_liners preview feature to respect # fmt: skip for compound
statements with semicolon-separated bodies (#4800)

Configuration

Add no_cache option to control caching behavior. (#4803)

Packaging

Releases now include arm64 Linux binaries (#4773)

Output

Write unchanged content to stdout when excluding formatting from stdin using pipes
(#4610)

Blackd

Implemented BlackDClient. This simple python client allows to easily send formatting
requests to blackd (#4774)

Integrations

Enable 3.14 base CI (#4804)
Enhance GitHub Action psf/black to support the required-version major-version-only
"stability" format when using pyproject.toml (#4770)
Improve error message for vim plugin users. It now handles independently vim version
Vim: Warn on unsupported Vim and Python versions independently (#4772)
Vim: Print the import paths when importing black fails (#4675)
Vim: Fix handling of virtualenvs that have a different Python version (#4675)

`v25.9.0`

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Highlights

Remove support for pre-python 3.7 await/async as soft keywords/variable names
(#4676)

Stable style

Fix crash while formatting a long del statement containing tuples (#4628)
Fix crash while formatting expressions using the walrus operator in complex with
statements (#4630)
Handle # fmt: skip followed by a comment at the end of file (#4635)
Fix crash when a tuple appears in the as clause of a with statement (#4634)
Fix crash when tuple is used as a context manager inside a with statement (#4646)
Fix crash when formatting a \ followed by a \r followed by a comment (#4663)
Fix crash on a \\r\n (#4673)
Fix crash on await ... (where ... is a literal Ellipsis) (#4676)
Fix crash on parenthesized expression inside a type parameter bound (#4684)
Fix crash when using line ranges excluding indented single line decorated items
(#4670)

Preview style

Fix a bug where one-liner functions/conditionals marked with # fmt: skip would still
be formatted (#4552)
Improve multiline_string_handling with ternaries and dictionaries (#4657)
Fix a bug where string_processing would not split f-strings directly after
expressions (#4680)
Wrap the in clause of comprehensions across lines if necessary (#4699)
Remove parentheses around multiple exception types in except and except* without
as. (#4720)
Add \r style newlines to the potential newlines to normalize file newlines both from
and to (#4710)

Parser

Rewrite tokenizer to improve performance and compliance (#4536)
Fix bug where certain unusual expressions (e.g., lambdas) were not accepted in type
parameter bounds and defaults. (#4602)

Performance

Avoid using an extra process when running with only one worker (#4734)

Integrations

Fix the version check in the vim file to reject Python 3.8 (#4567)
Enhance GitHub Action psf/black to read Black version from an additional section in
pyproject.toml: [project.dependency-groups] (#4606)
Build gallery docker image with python3-slim and reduce image size (#4686)

Documentation

Add FAQ entry for windows emoji not displaying (#4714)

certifi/python-certifi (certifi)

`v2025.11.12`

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pallets/click (click)

`v8.3.1`

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Released 2025-11-15

Don't discard pager arguments by correctly using subprocess.Popen. :issue:3039
:pr:3055
Replace Sentinel.UNSET default values by None as they're passed through
the Context.invoke() method. :issue:3066 :issue:3065 :pr:3068
Fix conversion of Sentinel.UNSET happening too early, which caused incorrect
behavior for multiple parameters using the same name. :issue:3071 :pr:3079
Hide Sentinel.UNSET values as None when looking up for other parameters
through the context inside parameter callbacks. :issue:3136 :pr:3137
Fix rendering when prompt and confirm parameter prompt_suffix is
empty. :issue:3019 :pr:3021
When Sentinel.UNSET is found during parsing, it will skip calls to
type_cast_value. :issue:3069 :pr:3090

geopandas/contextily (contextily)

`v1.7.0`

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What's Changed

ENH: Pass custom headers to tile server requests by @jthetzel in #266
DEP: remove long deprecated plot_map by @martinfleis in #270
MAINT: bump Python, make tests robust to tile changes by @martinfleis in #264
TST: test against Python 3.14 by @martinfleis in #271
CI: use macos-15-intel by @martinfleis in #269
Fix typos by @nathanjmcdougall in #260

New Contributors

@nathanjmcdougall made their first contribution in #260
@jthetzel made their first contribution in #266

Full Changelog: geopandas/contextily@v1.6.2...v1.7.0

fonttools/fonttools (fonttools)

`v4.61.1`

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[otlLib] buildCoverage: return empty Coverage instead of None (#4003, #4004).
[instancer] bug fix in avar2 full instancing (#4002).
[designspaceLib] Preserve empty conditionsets when serializing to XML (#4001).
[fontBu ilder] Fix FontBuilder setupOS2() default params globally polluted (#3996, #3997).
[ttFont] Add more typing annotations to ttFont, xmlWriter, sfnt, varLib.models and others (#3952, #3826).
Explicitly test and declare support for Python 3.14, even though we were already shipping pre-built wheels for it (#3990).

cemsbv/gef-file-to-map (gef-file-to-map)

`v1.0.1`

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Bug Fixes

Deps: Update rust crate pyo3 to 0.28.0 (#15)
Python: Match ABI version with minimum supported Python

Miscellaneous Tasks

Renovate: Automerge all changes that pass the tests

Testing

Whitespace: GEF file with tabs around the keys

ipython/ipython (ipython)

joblib/joblib (joblib)

`v1.5.3`

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The Memory object won't overwrite an already existing .gitignore file in its
cache directory anymore.
#1742
Harden the safety checks in eval_expr(pre_dispatch) to prevent excessive
memory allocation and potential crashes by limiting the allowed length of the
expression and the maximum numeric value of sub-expressions and not
evaluating expressions with non-numeric literals.
#1744
Vendor cloudpickle 3.1.2 to fix a pickling problem with interactively
defined abstract base classes and type annotations in Python 3.14+.

matplotlib/matplotlib (matplotlib)

`v3.10.8`: REL: v3.10.8

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This is a bugfix release in the 3.10.x series.

The primary highlights of this release are:

Properly allow freethreaded mode in the MacOS backend
Better error handling for MacOS backend

numpy/numpy (numpy)

`v2.4.2`

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`v2.4.1`: 2.4.1 (Jan 10, 2026)

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NumPy 2.4.1 Release Notes

The NumPy 2.4.1 is a patch release that fixes bugs discoved after the
2.4.0 release. In particular, the typo SeedlessSequence is preserved to
enable wheels using the random Cython API and built against NumPy < 2.4.0
to run without errors.

This release supports Python versions 3.11-3.14

Contributors

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

Alexander Shadchin
Bill Tompkins +
Charles Harris
Joren Hammudoglu
Marten van Kerkwijk
Nathan Goldbaum
Raghuveer Devulapalli
Ralf Gommers
Sebastian Berg

Pull requests merged

A total of 15 pull requests were merged for this release.

#30490: MAINT: Prepare 2.4.x for further development
#30503: DOC: numpy.select: fix default parameter docstring...
#30504: REV: Revert part of #30164 (#30500)
#30506: TYP: numpy.select: allow passing array-like default...
#30507: MNT: use if constexpr for compile-time branch selection
#30513: BUG: Fix leak in flat assignment iterator
#30516: BUG: fix heap overflow in fixed-width string multiply (#30511)
#30523: BUG: Ensure summed weights returned by np.average always are...
#30527: TYP: Fix return type of histogram2d
#30594: MAINT: avoid passing ints to random functions that take double...
#30595: BLD: Avoiding conflict with pygit2 for static build
#30596: MAINT: Fix msvccompiler missing error on FreeBSD
#30608: BLD: update vendored Meson to 1.9.2
#30620: ENH: use more fine-grained critical sections in array coercion...
#30623: BUG: Undo result type change of quantile/percentile but keep...

`v2.4.0`: 2.4.0 (Dec 20, 2025)

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NumPy 2.4.0 Release Notes

The NumPy 2.4.0 release continues the work to improve free threaded Python
support, user dtypes implementation, and annotations. There are many expired
deprecations and bug fixes as well.

This release supports Python versions 3.11-3.14

Highlights

Apart from annotations and same_value kwarg, the 2.4 highlights are mostly
of interest to downstream developers. They should help in implementing new user
dtypes.

Many annotation improvements. In particular, runtime signature introspection.
New casting kwarg 'same_value' for casting by value.
New PyUFunc_AddLoopsFromSpec function that can be used to add user sort
loops using the ArrayMethod API.
New __numpy_dtype__ protocol.

Deprecations

Setting the `strides` attribute is deprecated

Setting the strides attribute is now deprecated since mutating
an array is unsafe if an array is shared, especially by multiple
threads. As an alternative, you can create a new view (no copy) via:

np.lib.stride_tricks.strided_window_view if applicable,
np.lib.stride_tricks.as_strided for the general case,
or the np.ndarray constructor (buffer is the original array) for a
light-weight version.

(gh-28925)

Positional `out` argument to `np.maximum`, `np.minimum` is deprecated

Passing the output array out positionally to numpy.maximum and
numpy.minimum is deprecated. For example, np.maximum(a, b, c) will emit
a deprecation warning, since c is treated as the output buffer rather than
a third input.

Always pass the output with the keyword form, e.g. np.maximum(a, b, out=c).
This makes intent clear and simplifies type annotations.

(gh-29052)

`align=` must be passed as boolean to `np.dtype()`

When creating a new dtype a VisibleDeprecationWarning will be given if
align= is not a boolean. This is mainly to prevent accidentally passing a
subarray align flag where it has no effect, such as np.dtype("f8", 3)
instead of np.dtype(("f8", 3)). We strongly suggest to always pass
align= as a keyword argument.

(gh-29301)

Assertion and warning control utilities are deprecated

np.testing.assert_warns and np.testing.suppress_warnings are
deprecated. Use warnings.catch_warnings, warnings.filterwarnings,
pytest.warns, or pytest.filterwarnings instead.

(gh-29550)

`np.fix` is pending deprecation

The numpy.fix function will be deprecated in a future release. It is
recommended to use numpy.trunc instead, as it provides the same
functionality of truncating decimal values to their integer parts. Static type
checkers might already report a warning for the use of numpy.fix.

(gh-30168)

in-place modification of `ndarray.shape` is pending deprecation

Setting the ndarray.shape attribute directly will be deprecated in a future
release. Instead of modifying the shape in place, it is recommended to use the
numpy.reshape function. Static type checkers might already report a
warning for assignments to ndarray.shape.

(gh-30282)

Deprecation of `numpy.lib.user_array.container`

The numpy.lib.user_array.container class is deprecated and will be removed
in a future version.

(gh-30284)

Expired deprecations

Removed deprecated `MachAr` runtime discovery mechanism.

(gh-29836)

Raise `TypeError` on attempt to convert array with `ndim > 0` to scalar

Conversion of an array with ndim > 0 to a scalar was deprecated in NumPy
1.25. Now, attempting to do so raises TypeError. Ensure you extract a
single element from your array before performing this operation.

(gh-29841)

Removed numpy.linalg.linalg and numpy.fft.helper

The following were deprecated in NumPy 2.0 and have been moved to private
modules:

numpy.linalg.linalg
Use numpy.linalg instead.
numpy.fft.helper
Use numpy.fft instead.

(gh-29909)

Removed `interpolation` parameter from quantile and percentile functions

The interpolation parameter was deprecated in NumPy 1.22.0 and has been
removed from the following functions:

numpy.percentile
numpy.nanpercentile
numpy.quantile
numpy.nanquantile

Use the method parameter instead.

(gh-29973)

Removed `numpy.in1d`

numpy.in1d has been deprecated since NumPy 2.0 and is now removed in favor of numpy.isin.

(gh-29978)

Removed `numpy.ndindex.ndincr()`

The ndindex.ndincr() method has been deprecated since NumPy 1.20 and is now
removed; use next(ndindex) instead.

(gh-29980)

Removed `fix_imports` parameter from `numpy.save`

The fix_imports parameter was deprecated in NumPy 2.1.0 and is now removed.
This flag has been ignored since NumPy 1.17 and was only needed to support
loading files in Python 2 that were written in Python 3.

(gh-29984)

Removal of four undocumented `ndarray.ctypes` methods

Four undocumented methods of the ndarray.ctypes object have been removed:

_ctypes.get_data() (use _ctypes.data instead)
_ctypes.get_shape() (use _ctypes.shape instead)
_ctypes.get_strides() (use _ctypes.strides instead)
_ctypes.get_as_parameter() (use _ctypes._as_parameter_ instead)

These methods have been deprecated since NumPy 1.21.

(gh-29986)

Removed `newshape` parameter from `numpy.reshape`

The newshape parameter was deprecated in NumPy 2.1.0 and has been
removed from numpy.reshape. Pass it positionally or use shape=
on newer NumPy versions.

(gh-29994)

Removal of deprecated functions and arguments

The following long-deprecated APIs have been removed:

numpy.trapz --- deprecated since NumPy 2.0 (2023-08-18). Use numpy.trapezoid or
scipy.integrate functions instead.
disp function --- deprecated from 2.0 release and no longer functional. Use
your own printing function instead.
bias and ddof arguments in numpy.corrcoef --- these had no effect
since NumPy 1.10.

(gh-29997)

Removed `delimitor` parameter from `numpy.ma.mrecords.fromtextfile()`

The delimitor parameter was deprecated in NumPy 1.22.0 and has been
removed from numpy.ma.mrecords.fromtextfile(). Use delimiter instead.

(gh-30021)

`numpy.array2string` and `numpy.sum` deprecations finalized

The following long-deprecated APIs have been removed or converted to errors:

The style parameter has been removed from numpy.array2string.
This argument had no effect since Numpy 1.14.0. Any arguments following
it, such as formatter have now been made keyword-only.
Calling np.sum(generator) directly on a generator object now raises a
TypeError. This behavior was deprecated in NumPy 1.15.0. Use
np.sum(np.fromiter(generator)) or the python sum builtin instead.

(gh-30068)

Compatibility notes

NumPy's C extension modules have begun to use multi-phase initialisation, as
defined by PEP 489. As part of this, a new explicit check has been added that
each such module is only imported once per Python process. This comes with
the side-effect that deleting numpy from sys.modules and re-importing
it will now fail with an ImportError. This has always been unsafe, with
unexpected side-effects, though did not previously raise an error.

(gh-29030)
numpy.round now always returns a copy. Previously, it returned a view
for integer inputs for decimals >= 0 and a copy in all other cases.
This change brings round in line with ceil, floor and trunc.

(gh-29137)
Type-checkers will no longer accept calls to numpy.arange with
start as a keyword argument. This was done for compatibility with
the Array API standard. At runtime it is still possible to use
numpy.arange with start as a keyword argument.

(gh-30147)
The Macro NPY_ALIGNMENT_REQUIRED has been removed The macro was defined in
the npy_cpu.h file, so might be regarded as semi public. As it turns out,
with modern compilers and hardware it is almost always the case that
alignment is required, so numpy no longer uses the macro. It is unlikely
anyone uses it, but you might want to compile with the -Wundef flag or
equivalent to be sure.

(gh-29094)

C API changes

The NPY_SORTKIND enum has been enhanced with new variables

This is of interest if you are using PyArray_Sort or PyArray_ArgSort.
We have changed the semantics of the old names in the NPY_SORTKIND enum and
added new ones. The changes are backward compatible, and no recompilation is
needed. The new names of interest are:

NPY_SORT_DEFAULT -- default sort (same value as NPY_QUICKSORT)
NPY_SORT_STABLE -- the sort must be stable (same value as NPY_MERGESORT)
NPY_SORT_DESCENDING -- the sort must be descending

The semantic change is that NPY_HEAPSORT is mapped to NPY_QUICKSORT when used.
Note that NPY_SORT_DESCENDING is not yet implemented.

(gh-29642)

New `NPY_DT_get_constant` slot for DType constant retrieval

A new slot NPY_DT_get_constant has been added to the DType API, allowing
dtype implementations to provide constant values such as machine limits and
special values. The slot function has the signature:

int get_constant(PyArray_Descr *descr, int constant_id, void *ptr)

It returns 1 on success, 0 if the constant is not available, or -1 on error.
The function is always called with the GIL held and may write to unaligned memory.

Integer constants (marked with the 1 << 16 bit) return npy_intp values,
while floating-point constants return values of the dtype's native type.

Implementing this can be used by user DTypes to provide numpy.finfo values.

(gh-29836)

A new `PyUFunc_AddLoopsFromSpecs` convenience function has been added to the C API.

This function allows adding multiple ufunc loops from their specs in one call
using a NULL-terminated array of PyUFunc_LoopSlot structs. It allows
registering sorting and argsorting loops using the new ArrayMethod API.

(gh-29900)

New Features

Let np.size accept multiple axes.

(gh-29240)
Extend numpy.pad to accept a dictionary for the pad_width argument.

(gh-29273)

`'same_value'` for casting by value

The casting kwarg now has a 'same_value' option that checks the actual
values can be round-trip cast without changing value. Currently it is only
implemented in ndarray.astype. This will raise a ValueError if any of the
values in the array would change as a result of the cast, including rounding of
floats or overflowing of ints.

(gh-29129)

`StringDType` fill_value support in `numpy.ma.MaskedArray`

Masked arrays now accept and preserve a Python str as their fill_value
when using the variable‑width StringDType (kind 'T'), including through
slicing and views. The default is 'N/A' and may be overridden by any valid
string. This fixes issue gh‑29421
and was implemented in pull request gh‑29423.

(gh-29423)

`ndmax` option for `numpy.array`

The ndmax option is now available for numpy.array.
It explicitly limits the maximum number of dimensions created from nested sequences.

This is particularly useful when creating arrays of list-like objects with dtype=object.
By default, NumPy recurses through all nesting levels to create the highest possible
dimensional array, but this behavior may not be desired when the intent is to preserve
nested structures as objects. The ndmax parameter provides explicit control over
this recursion depth.

# Default behavior: Creates a 2D array
>>> a = np.array([[1, 2], [3, 4]], dtype=object)
>>> a
array([[1, 2],
       [3, 4]], dtype=object)
>>> a.shape
(2, 2)

# With ndmax=1: Creates a 1D array
>>> b = np.array([[1, 2], [3, 4]], dtype=object, ndmax=1)
>>> b
array([list([1, 2]), list([3, 4])], dtype=object)
>>> b.shape
(2,)

(gh-29569)

Warning emitted when using `where` without `out`

Ufuncs called with a where mask and without an out positional or kwarg will
now emit a warning. This usage tends to trip up users who expect some value in
output locations where the mask is False (the ufunc will not touch those
locations). The warning can be suppressed by using out=None.

(gh-29813)

DType sorting and argsorting supports the ArrayMethod API

User-defined dtypes can now implement custom sorting and argsorting using the
ArrayMethod API. This mechanism can be used in place of the
PyArray_ArrFuncs slots which may be deprecated in the future.

The sorting and argsorting methods are registered by passing the arraymethod
specs that implement the operations to the new PyUFunc_AddLoopsFromSpecs
function. See the ArrayMethod API documentation for details.

(gh-29900)

New `__numpy_dtype__` protocol

NumPy now has a new __numpy_dtype__ protocol. NumPy will check
for this attribute when converting to a NumPy dtype via np.dtype(obj)
or any dtype= argument.

Downstream projects are encouraged to implement this for all dtype like
objects which may previously have used a .dtype attribute that returned
a NumPy dtype.
We expect to deprecate .dtype in the future to prevent interpreting
array-like objects with a .dtype attribute as a dtype.
If you wish you can implement __numpy_dtype__ to ensure an earlier
warning or error (.dtype is ignored if this is found).

(gh-30179)

Improvements

Fix `flatiter` indexing edge cases

The flatiter object now shares the same index preparation logic as
ndarray, ensuring consistent behavior and fixing several issues where
invalid indices were previously accepted or misinterpreted.

Key fixes and improvements:

Stricter index validation
- Boolean non-array indices like arr.flat[[True, True]] were
  incorrectly treated as arr.flat[np.array([1, 1], dtype=int)].
  They now raise an index error. Note that indices that match the
  iterator's shape are expected to not raise in the future and be
  handled as regular boolean indices. Use np.asarray(<index>) if
  you want to match that behavior.
- Float non-array indices were also cast to integer and incorrectly
  treated as arr.flat[np.array([1.0, 1.0], dtype=int)]. This is now
  deprecated and will be removed in a future version.
- 0-dimensional boolean indices like arr.flat[True] are also
  deprecated and will be removed in a future version.
Consistent error types:

Certain invalid flatiter indices that previously raised ValueError
now correctly raise IndexError, aligning with ndarray behavior.
Improved error messages:

The error message for unsupported index operations now provides more
specific details, including explicitly listing the valid index types,
instead of the generic IndexError: unsupported index operation.

(gh-28590)

Improved error handling in `np.quantile`

[np.quantile]{.title-ref} now raises errors if:

All weights are zero
At least one weight is np.nan
At least one weight is np.inf

(gh-28595)

Improved error message for `assert_array_compare`

The error message generated by assert_array_compare which is used by functions
like assert_allclose, assert_array_less etc. now also includes information
about the indices at which the assertion fails.

(gh-29112)

Show unit information in `repr` for `datetime64("NaT")`

When a datetime64 object is "Not a Time" (NaT), its __repr__ method now
includes the time unit of the datetime64 type. This makes it consistent with
the behavior of a timedelta64 object.

(gh-29396)

Performance increase for scalar calculations

The speed of calculations on scalars has been improved by about a factor 6 for
ufuncs that take only one input (like np.sin(scalar)), reducing the speed
difference from their math equivalents from a factor 19 to 3 (the speed
for arrays is left unchanged).

(gh-29819)

`numpy.finfo` Refactor

The numpy.finfo class has been completely refactored to obtain floating-point
constants directly from C compiler macros rather than deriving them at runtime.
This provides better accuracy, platform compatibility and corrected
several attribute calculations:

Constants like eps, min, max, smallest_normal, and
smallest_subnormal now come directly from standard C macros (FLT_EPSILON,
DBL_MIN, etc.), ensuring platform-correct values.
The deprecated MachAr runtime discovery mechanism has been removed.
Derived attributes have been corrected to match standard definitions:
machep and negep now use int(log2(eps)); nexp accounts for
all exponent patterns; nmant excludes the implicit bit; and minexp
follows the C standard definition.
longdouble constants, Specifically smallest_normal now follows the
C standard definitions as per respecitive platform.
Special handling added for PowerPC's IBM double-double format.
New test suite added in test_finfo.py to validate all
finfo properties against expected machine arithmetic values for
float16, float32, and float64 types.

(gh-29836)

Multiple axes are now supported in `numpy.trim_zeros`

The axis argument of numpy.trim_zeros now accepts a sequence; for example
np.trim_zeros(x, axis=(0, 1)) will trim the zeros from a multi-dimensional
array x along axes 0 and 1. This fixes issue
gh‑29945 and was implemented
in pull request gh‑29947.

(gh-29947)

Runtime signature introspection support has been significantly improved

Many NumPy functions, classes, and methods that previously raised
ValueError when passed to inspect.signature() now return meaningful
signatures. This improves support for runtime type checking, IDE autocomplete,
documentation generation, and runtime introspection capabilities across the
NumPy API.

Over three hundred classes and functions have been updated in total, including,
but not limited to, core classes such as ndarray, generic, dtype,
ufunc, broadcast, nditer, etc., most methods of ndarray and
scalar types, array constructor functions (array, empty, arange,
fromiter, etc.), all ufuncs, and many other commonly used functions,
including dot, concat, where, bincount, can_cast, and
numerous others.

(gh-30208)

Performance improvements and changes

Performance improvements to `np.unique` for string dtypes

The hash-based algorithm for unique extraction provides an order-of-magnitude
speedup on large string arrays. In an internal benchmark with about 1 billion
string elements, the hash-based np.unique completed in roughly 33.5 seconds,
compared to 498 seconds with the sort-based method -- about 15× faster for
unsorted unique operations on strings. This improvement greatly reduces the
time to find unique values in very large string datasets.

(gh-28767)

Rewrite of `np.ndindex` using `itertools.product`

The numpy.ndindex function now uses itertools.product internally,
providing significant improvements in performance for large iteration spaces,
while maintaining the original behavior and interface. For example, for an
array of shape (50, 60, 90) the NumPy ndindex benchmark improves
performance by a factor 5.2.

(gh-29165)

Performance improvements to `np.unique` for complex dtypes

The hash-based algorithm for unique extraction now also supports
complex dtypes, offering noticeable performance gains.

In our benchmarks on complex128 arrays with 200,000 elements,
the hash-based approach was about 1.4--1.5× faster
than the sort-based baseline when there were 20% of unique values,
and about 5× faster when there were 0.2% of unique values.

(gh-29537)

Changes

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)
The accuracy of np.quantile and np.percentile for 16- and 32-bit
floating point input data has been impro

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♻ Rebasing: Whenever PR becomes conflicted, or you tick the rebase/retry checkbox.

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

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coveralls · 2025-07-29T17:57:41Z

Pull Request Test Coverage Report for Build 20876024412

Details

0 of 0 changed or added relevant lines in 0 files are covered.
No unchanged relevant lines lost coverage.
Overall coverage remained the same at 88.37%

Totals
Change from base Build 19951580627:	0.0%
Covered Lines:	1003
Relevant Lines:	1135

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fix(deps): update all non-major dependencies#434

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Miscellaneous Tasks

Testing

v3.10.8: REL: v3.10.8

v2.4.1: 2.4.1 (Jan 10, 2026)

NumPy 2.4.1 Release Notes

Contributors

Pull requests merged

v2.4.0: 2.4.0 (Dec 20, 2025)

NumPy 2.4.0 Release Notes

Highlights

Deprecations

Setting the strides attribute is deprecated

Positional out argument to np.maximum, np.minimum is deprecated

align= must be passed as boolean to np.dtype()

Assertion and warning control utilities are deprecated

np.fix is pending deprecation

in-place modification of ndarray.shape is pending deprecation

Deprecation of numpy.lib.user_array.container

Expired deprecations

Removed deprecated MachAr runtime discovery mechanism.

Raise TypeError on attempt to convert array with ndim > 0 to scalar

Removed numpy.linalg.linalg and numpy.fft.helper

Removed interpolation parameter from quantile and percentile functions

Removed numpy.in1d

Removed numpy.ndindex.ndincr()

Removed fix_imports parameter from numpy.save

Removal of four undocumented ndarray.ctypes methods

Removed newshape parameter from numpy.reshape

Removal of deprecated functions and arguments

Removed delimitor parameter from numpy.ma.mrecords.fromtextfile()

numpy.array2string and numpy.sum deprecations finalized

Compatibility notes

C API changes

The NPY_SORTKIND enum has been enhanced with new variables

New NPY_DT_get_constant slot for DType constant retrieval

A new PyUFunc_AddLoopsFromSpecs convenience function has been added to the C API.

New Features

'same_value' for casting by value

StringDType fill_value support in numpy.ma.MaskedArray

ndmax option for numpy.array

Warning emitted when using where without out

DType sorting and argsorting supports the ArrayMethod API

New __numpy_dtype__ protocol

Improvements

Fix flatiter indexing edge cases

Improved error handling in np.quantile

Improved error message for assert_array_compare

Show unit information in __repr__ for datetime64("NaT")

Performance increase for scalar calculations

numpy.finfo Refactor

Multiple axes are now supported in numpy.trim_zeros

Runtime signature introspection support has been significantly improved

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`v3.10.8`: REL: v3.10.8

`v2.4.1`: 2.4.1 (Jan 10, 2026)

`v2.4.0`: 2.4.0 (Dec 20, 2025)

Setting the `strides` attribute is deprecated

Positional `out` argument to `np.maximum`, `np.minimum` is deprecated

`align=` must be passed as boolean to `np.dtype()`

`np.fix` is pending deprecation

in-place modification of `ndarray.shape` is pending deprecation

Deprecation of `numpy.lib.user_array.container`

Removed deprecated `MachAr` runtime discovery mechanism.

Raise `TypeError` on attempt to convert array with `ndim > 0` to scalar

Removed `interpolation` parameter from quantile and percentile functions

Removed `numpy.in1d`

Removed `numpy.ndindex.ndincr()`

Removed `fix_imports` parameter from `numpy.save`

Removal of four undocumented `ndarray.ctypes` methods

Removed `newshape` parameter from `numpy.reshape`

Removed `delimitor` parameter from `numpy.ma.mrecords.fromtextfile()`

`numpy.array2string` and `numpy.sum` deprecations finalized

New `NPY_DT_get_constant` slot for DType constant retrieval

A new `PyUFunc_AddLoopsFromSpecs` convenience function has been added to the C API.

`'same_value'` for casting by value

`StringDType` fill_value support in `numpy.ma.MaskedArray`

`ndmax` option for `numpy.array`

Warning emitted when using `where` without `out`

New `__numpy_dtype__` protocol

Fix `flatiter` indexing edge cases

Improved error handling in `np.quantile`

Improved error message for `assert_array_compare`

Show unit information in `repr` for `datetime64("NaT")`

`numpy.finfo` Refactor

Multiple axes are now supported in `numpy.trim_zeros`

Performance improvements to `np.unique` for string dtypes

Rewrite of `np.ndindex` using `itertools.product`

Performance improvements to `np.unique` for complex dtypes

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