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Scheduled weekly dependency update for week 12 #3050

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Update sphinx from 5.3.0 to 6.1.3.

Changelog

6.1.3

=====================================

Bugs fixed
----------

* 11116: Reverted to previous Sphinx 5 node copying method
* 11117: Reverted changes to parallel image processing from Sphinx 6.1.0
* 11119: Supress ``ValueError`` in the ``linkcheck`` builder

6.1.2

=====================================

Bugs fixed
----------

* 11101: LaTeX: ``div.topic_padding`` key of sphinxsetup documented at 5.1.0 was
implemented with name ``topic_padding``
* 11099: LaTeX: ``shadowrule`` key of sphinxsetup causes PDF build to crash
since Sphinx 5.1.0
* 11096: LaTeX: ``shadowsize`` key of sphinxsetup causes PDF build to crash
since Sphinx 5.1.0
* 11095: LaTeX: shadow of :dudir:`topic` and contents_ boxes not in page
margin since Sphinx 5.1.0

.. _contents: https://docutils.sourceforge.io/docs/ref/rst/directives.html#table-of-contents
* 11100: Fix copying images when running under parallel mode.

6.1.1

=====================================

Bugs fixed
----------

* 11091: Fix ``util.nodes.apply_source_workaround`` for ``literal_block`` nodes
with no source information in the node or the node's parents.

6.1.0

=====================================

Dependencies
------------

* Adopted the `Ruff`_ code linter.

.. _Ruff: https://github.com/charliermarsh/ruff

Incompatible changes
--------------------

* 10979: gettext: Removed support for pluralisation in ``get_translation``.
This was unused and complicated other changes to ``sphinx.locale``.

Deprecated
----------

* ``sphinx.util`` functions:

* Renamed ``sphinx.util.typing.stringify()``
  to ``sphinx.util.typing.stringify_annotation()``
* Moved ``sphinx.util.xmlname_checker()``
  to ``sphinx.builders.epub3._XML_NAME_PATTERN``

Moved to ``sphinx.util.display``:

* ``sphinx.util.status_iterator``
* ``sphinx.util.display_chunk``
* ``sphinx.util.SkipProgressMessage``
* ``sphinx.util.progress_message``

Moved to ``sphinx.util.http_date``:

* ``sphinx.util.epoch_to_rfc1123``
* ``sphinx.util.rfc1123_to_epoch``

Moved to ``sphinx.util.exceptions``:

* ``sphinx.util.save_traceback``
* ``sphinx.util.format_exception_cut_frames``

Features added
--------------

* Cache doctrees in the build environment during the writing phase.
* Make all writing phase tasks support parallel execution.
* 11072: Use PEP 604 (``X | Y``) display conventions for ``typing.Optional``
and ``typing.Optional`` types within the Python domain and autodoc.
* 10700: autodoc: Document ``typing.NewType()`` types as classes rather than
'data'.
* Cache doctrees between the reading and writing phases.

Bugs fixed
----------

* 10962: HTML: Fix the multi-word key name lookup table.
* Fixed support for Python 3.12 alpha 3 (changes in the ``enum`` module).
* 11069: HTML Theme: Removed outdated "shortcut" link relation keyword.
* 10952: Properly terminate parallel processes on programme interuption.
* 10988: Speed up ``TocTree.resolve()`` through more efficient copying.
* 6744: LaTeX: support for seealso directive should be via an environment
to allow styling.
* 11074: LaTeX: Can't change sphinxnote to use sphinxheavybox starting with
5.1.0

6.0.1

=====================================

Dependencies
------------

* Require Pygments 2.13 or later.

Bugs fixed
----------

* 10944: imgmath:  Fix resolving image paths for files in nested folders.

6.0.0

=====================================

Dependencies
------------

* 10468: Drop Python 3.6 support
* 10470: Drop Python 3.7, Docutils 0.14, Docutils 0.15, Docutils 0.16, and
Docutils 0.17 support. Patch by Adam Turner

Incompatible changes
--------------------

* 7405: Removed the jQuery and underscore.js JavaScript frameworks.

These frameworks are no longer be automatically injected into themes from
Sphinx 6.0. If you develop a theme or extension that uses the
``jQuery``, ``$``, or ``$u`` global objects, you need to update your
JavaScript to modern standards, or use the mitigation below.

The first option is to use the sphinxcontrib.jquery_ extension, which has been
developed by the Sphinx team and contributors. To use this, add
``sphinxcontrib.jquery`` to the ``extensions`` list in ``conf.py``, or call
``app.setup_extension("sphinxcontrib.jquery")`` if you develop a Sphinx theme
or extension.

The second option is to manually ensure that the frameworks are present.
To re-add jQuery and underscore.js, you will need to copy ``jquery.js`` and
``underscore.js`` from `the Sphinx repository`_ to your ``static`` directory,
and add the following to your ``layout.html``:

.. code-block:: html+jinja

  {%- block scripts %}
      <script src="{{ pathto('_static/jquery.js', resource=True) }}"></script>
      <script src="{{ pathto('_static/underscore.js', resource=True) }}"></script>
      {{ super() }}
  {%- endblock %}

.. _sphinxcontrib.jquery: https://github.com/sphinx-contrib/jquery/

Patch by Adam Turner.
* 10471, 10565: Removed deprecated APIs scheduled for removal in Sphinx 6.0. See
:ref:`dev-deprecated-apis` for details. Patch by Adam Turner.
* 10901: C Domain: Remove support for parsing pre-v3 style type directives and
roles. Also remove associated configuration variables ``c_allow_pre_v3`` and
``c_warn_on_allowed_pre_v3``. Patch by Adam Turner.

Features added
--------------

* 10924: LaTeX: adopt better looking defaults for tables and code-blocks.
See :confval:`latex_table_style` and the ``pre_border-radius`` and
``pre_background-TeXcolor`` :ref:`additionalcss` for the former defaults
and how to re-enact them if desired.

Bugs fixed
----------

* 10984: LaTeX: Document :confval:`latex_additional_files` behavior for files
with ``.tex`` extension.
Links

Update sphinx_rtd_theme from 1.1.1 to 1.2.0.

The bot wasn't able to find a changelog for this release. Got an idea?

Links

Update black from 22.12.0 to 23.1.0.

The bot wasn't able to find a changelog for this release. Got an idea?

Links

Update scipy from 1.9.3 to 1.10.1.

Changelog

1.10.1

compared to `1.10.0`.



Authors
=======
* Name (commits)
* alice (1) +
* Matt Borland (2) +
* Evgeni Burovski (2)
* CJ Carey (1)
* Ralf Gommers (9)
* Brett Graham (1) +
* Matt Haberland (5)
* Alex Herbert (1) +
* Ganesh Kathiresan (2) +
* Rishi Kulkarni (1) +
* Loïc Estève (1)
* Michał Górny (1) +
* Jarrod Millman (1)
* Andrew Nelson (4)
* Tyler Reddy (50)
* Pamphile Roy (2)
* Eli Schwartz (2)
* Tomer Sery (1) +
* Kai Striega (1)
* Jacopo Tissino (1) +
* windows-server-2003 (1)

A total of 21 people contributed to this release.
People with a "+" by their names contributed a patch for the first time.
This list of names is automatically generated, and may not be fully complete.

1.10.0

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
1.10.x branch, and on adding new features on the main branch.

This release requires Python `3.8+` and NumPy `1.19.5` or greater.

For running on PyPy, PyPy3 `6.0+` is required.



Highlights of this release
====================

- A new dedicated datasets submodule (`scipy.datasets`) has been added, and is
now preferred over usage of `scipy.misc` for dataset retrieval.
- A new `scipy.interpolate.make_smoothing_spline` function was added. This
function constructs a smoothing cubic spline from noisy data, using the
generalized cross-validation (GCV) criterion to find the tradeoff between
smoothness and proximity to data points.
- `scipy.stats` has three new distributions, two new hypothesis tests, three
new sample statistics, a class for greater control over calculations
involving covariance matrices, and many other enhancements.


New features
===========

`scipy.datasets` introduction
========================
- A new dedicated ``datasets`` submodule has been added. The submodules
is meant for datasets that are relevant to other SciPy submodules ands
content (tutorials, examples, tests), as well as contain a curated
set of datasets that are of wider interest. As of this release, all
the datasets from `scipy.misc` have been added to `scipy.datasets`
(and deprecated in `scipy.misc`).
- The submodule is based on [Pooch](https://www.fatiando.org/pooch/latest/)
(a new optional dependency for SciPy), a Python package to simplify fetching
data files. This move will, in a subsequent release, facilitate SciPy
to trim down the sdist/wheel sizes, by decoupling the data files and
moving them out of the SciPy repository, hosting them externally and
downloading them when requested. After downloading the datasets once,
the files are cached to avoid network dependence and repeated usage.
- Added datasets from ``scipy.misc``: `scipy.datasets.face`,
`scipy.datasets.ascent`, `scipy.datasets.electrocardiogram`
- Added download and caching functionality:

- `scipy.datasets.download_all`: a function to download all the `scipy.datasets`
 associated files at once.
- `scipy.datasets.clear_cache`: a simple utility function to clear cached dataset
 files from the file system.
- ``scipy/datasets/_download_all.py`` can be run as a standalone script for
 packaging purposes to avoid any external dependency at build or test time.
 This can be used by SciPy packagers (e.g., for Linux distros) which may
 have to adhere to rules that forbid downloading sources from external
 repositories at package build time.

`scipy.integrate` improvements
==============================
- Added `scipy.integrate.qmc_quad`, which performs quadrature using Quasi-Monte
Carlo points.
- Added parameter ``complex_func`` to `scipy.integrate.quad`, which can be set
``True`` to integrate a complex integrand.


`scipy.interpolate` improvements
================================
- `scipy.interpolate.interpn` now supports tensor-product interpolation methods
(``slinear``, ``cubic``, ``quintic`` and ``pchip``)
- Tensor-product interpolation methods (``slinear``, ``cubic``, ``quintic`` and
``pchip``) in `scipy.interpolate.interpn` and
`scipy.interpolate.RegularGridInterpolator` now allow values with trailing
dimensions.
- `scipy.interpolate.RegularGridInterpolator` has a new fast path for
``method="linear"`` with 2D data, and ``RegularGridInterpolator`` is now
easier to subclass
- `scipy.interpolate.interp1d` now can take a single value for non-spline
methods.
- A new ``extrapolate`` argument is available to `scipy.interpolate.BSpline.design_matrix`,
allowing extrapolation based on the first and last intervals.
- A new function `scipy.interpolate.make_smoothing_spline` has been added. It is an
implementation of the generalized cross-validation spline smoothing
algorithm. The ``lam=None`` (default) mode of this function is a clean-room
reimplementation of the classic ``gcvspl.f`` Fortran algorithm for
constructing GCV splines.
- A new ``method="pchip"`` mode was aded to
`scipy.interpolate.RegularGridInterpolator`. This mode constructs an
interpolator using tensor products of C1-continuous monotone splines
(essentially, a `scipy.interpolate.PchipInterpolator` instance per
dimension).



`scipy.sparse.linalg` improvements
==================================
- The spectral 2-norm is now available in `scipy.sparse.linalg.norm`.
- The performance of `scipy.sparse.linalg.norm` for the default case (Frobenius
norm) has been improved.
- LAPACK wrappers were added for ``trexc`` and ``trsen``.
- The `scipy.sparse.linalg.lobpcg` algorithm was rewritten, yielding
the following improvements:

- a simple tunable restart potentially increases the attainable
 accuracy for edge cases,
- internal postprocessing runs one final exact Rayleigh-Ritz method
 giving more accurate and orthonormal eigenvectors,
- output the computed iterate with the smallest max norm of the residual
 and drop the history of subsequent iterations,
- remove the check for ``LinearOperator`` format input and thus allow
 a simple function handle of a callable object as an input,
- better handling of common user errors with input data, rather
 than letting the algorithm fail.


`scipy.linalg` improvements
===========================
- `scipy.linalg.lu_factor` now accepts rectangular arrays instead of being restricted
to square arrays.


`scipy.ndimage` improvements
============================
- The new `scipy.ndimage.value_indices` function provides a time-efficient method to
search for the locations of individual values with an array of image data.
- A new ``radius`` argument is supported by `scipy.ndimage.gaussian_filter1d` and
`scipy.ndimage.gaussian_filter` for adjusting the kernel size of the filter.


`scipy.optimize` improvements
=============================
- `scipy.optimize.brute` now coerces non-iterable/single-value ``args`` into a
tuple.
- `scipy.optimize.least_squares` and `scipy.optimize.curve_fit` now accept
`scipy.optimize.Bounds` for bounds constraints.
- Added a tutorial for `scipy.optimize.milp`.
- Improved the pretty-printing of `scipy.optimize.OptimizeResult` objects.
- Additional options (``parallel``, ``threads``, ``mip_rel_gap``) can now
be passed to `scipy.optimize.linprog` with ``method='highs'``.


`scipy.signal` improvements
===========================
- The new window function `scipy.signal.windows.lanczos` was added to compute a
Lanczos window, also known as a sinc window.


`scipy.sparse.csgraph` improvements
===================================
- the performance of `scipy.sparse.csgraph.dijkstra` has been improved, and
star graphs in particular see a marked performance improvement


`scipy.special` improvements
============================
- The new function `scipy.special.powm1`, a ufunc with signature
``powm1(x, y)``, computes ``x**y - 1``. The function avoids the loss of
precision that can result when ``y`` is close to 0 or when ``x`` is close to
1.
- `scipy.special.erfinv` is now more accurate as it leverages the Boost equivalent under
the hood.


`scipy.stats` improvements
==========================
- Added `scipy.stats.goodness_of_fit`, a generalized goodness-of-fit test for
use with any univariate distribution, any combination of known and unknown
parameters, and several choices of test statistic (Kolmogorov-Smirnov,
Cramer-von Mises, and Anderson-Darling).
- Improved `scipy.stats.bootstrap`: Default method ``'BCa'`` now supports
multi-sample statistics. Also, the bootstrap distribution is returned in the
result object, and the result object can be passed into the function as
parameter ``bootstrap_result`` to add additional resamples or change the
confidence interval level and type.
- Added maximum spacing estimation to `scipy.stats.fit`.
- Added the Poisson means test ("E-test") as `scipy.stats.poisson_means_test`.
- Added new sample statistics.

- Added `scipy.stats.contingency.odds_ratio` to compute both the conditional
 and unconditional odds ratios and corresponding confidence intervals for
 2x2 contingency tables.
- Added `scipy.stats.directional_stats` to compute sample statistics of
 n-dimensional directional data.
- Added `scipy.stats.expectile`, which generalizes the expected value in the
 same way as quantiles are a generalization of the median.

- Added new statistical distributions.

- Added `scipy.stats.uniform_direction`, a multivariate distribution to
 sample uniformly from the surface of a hypersphere.
- Added `scipy.stats.random_table`, a multivariate distribution to sample
 uniformly from m x n contingency tables with provided marginals.
- Added `scipy.stats.truncpareto`, the truncated Pareto distribution.

- Improved the ``fit`` method of several distributions.

- `scipy.stats.skewnorm` and `scipy.stats.weibull_min` now use an analytical
 solution when ``method='mm'``, which also serves a starting guess to
 improve the performance of ``method='mle'``.
- `scipy.stats.gumbel_r` and `scipy.stats.gumbel_l`: analytical maximum
 likelihood estimates have been extended to the cases in which location or
 scale are fixed by the user.
- Analytical maximum likelihood estimates have been added for
 `scipy.stats.powerlaw`.

- Improved random variate sampling of several distributions.

- Drawing multiple samples from `scipy.stats.matrix_normal`,
 `scipy.stats.ortho_group`, `scipy.stats.special_ortho_group`, and
 `scipy.stats.unitary_group` is faster.
- The ``rvs`` method of `scipy.stats.vonmises` now wraps to the interval
 ``[-np.pi, np.pi]``.
- Improved the reliability of `scipy.stats.loggamma` ``rvs`` method for small
 values of the shape parameter.

- Improved the speed and/or accuracy of functions of several statistical
distributions.

- Added `scipy.stats.Covariance` for better speed, accuracy, and user control
 in multivariate normal calculations.
- `scipy.stats.skewnorm` methods ``cdf``, ``sf``, ``ppf``, and ``isf``
 methods now use the implementations from Boost, improving speed while
 maintaining accuracy. The calculation of higher-order moments is also
 faster and more accurate.
- `scipy.stats.invgauss` methods ``ppf`` and ``isf`` methods now use the
 implementations from Boost, improving speed and accuracy.
- `scipy.stats.invweibull` methods ``sf`` and ``isf`` are more accurate for
 small probability masses.
- `scipy.stats.nct` and `scipy.stats.ncx2` now rely on the implementations
 from Boost, improving speed and accuracy.
- Implemented the ``logpdf`` method of `scipy.stats.vonmises` for reliability
 in extreme tails.
- Implemented the ``isf`` method of `scipy.stats.levy` for speed and
 accuracy.
- Improved the robustness of `scipy.stats.studentized_range` for large ``df``
 by adding an infinite degree-of-freedom approximation.
- Added a parameter ``lower_limit`` to `scipy.stats.multivariate_normal`,
 allowing the user to change the integration limit from -inf to a desired
 value.
- Improved the robustness of ``entropy`` of `scipy.stats.vonmises` for large
 concentration values.

- Enhanced `scipy.stats.gaussian_kde`.

- Added `scipy.stats.gaussian_kde.marginal`, which returns the desired
 marginal distribution of the original kernel density estimate distribution.
- The ``cdf`` method of `scipy.stats.gaussian_kde` now accepts a
 ``lower_limit`` parameter for integrating the PDF over a rectangular region.
- Moved calculations for `scipy.stats.gaussian_kde.logpdf` to Cython,
 improving speed.
- The global interpreter lock is released by the ``pdf`` method of
 `scipy.stats.gaussian_kde` for improved multithreading performance.
- Replaced explicit matrix inversion with Cholesky decomposition for speed
 and accuracy.

- Enhanced the result objects returned by many `scipy.stats` functions

- Added a ``confidence_interval`` method to the result object returned by
 `scipy.stats.ttest_1samp` and `scipy.stats.ttest_rel`.
- The `scipy.stats` functions ``combine_pvalues``, ``fisher_exact``,
 ``chi2_contingency``, ``median_test`` and ``mood`` now return
 bunch objects rather than plain tuples, allowing attributes to be
 accessed by name.
- Attributes of the result objects returned by ``multiscale_graphcorr``,
 ``anderson_ksamp``, ``binomtest``, ``crosstab``, ``pointbiserialr``,
 ``spearmanr``, ``kendalltau``, and ``weightedtau`` have been renamed to
 ``statistic`` and ``pvalue`` for consistency throughout `scipy.stats`.
 Old attribute names are still allowed for backward compatibility.
- `scipy.stats.anderson` now returns the parameters of the fitted
 distribution in a `scipy.stats._result_classes.FitResult` object.
- The ``plot`` method of `scipy.stats._result_classes.FitResult` now accepts
 a ``plot_type`` parameter; the options are ``'hist'`` (histogram, default),
 ``'qq'`` (Q-Q plot), ``'pp'`` (P-P plot), and ``'cdf'`` (empirical CDF
 plot).
- Kolmogorov-Smirnov tests (e.g. `scipy.stats.kstest`) now return the
 location (argmax) at which the statistic is calculated and the variant
 of the statistic used.

- Improved the performance of several `scipy.stats` functions.

- Improved the performance of `scipy.stats.cramervonmises_2samp` and
 `scipy.stats.ks_2samp` with ``method='exact'``.
- Improved the performance of `scipy.stats.siegelslopes`.
- Improved the performance of `scipy.stats.mstats.hdquantile_sd`.
- Improved the performance of `scipy.stats.binned_statistic_dd` for several
 NumPy statistics, and binned statistics methods now support complex data.

- Added the ``scramble`` optional argument to `scipy.stats.qmc.LatinHypercube`.
It replaces ``centered``, which is now deprecated.
- Added a parameter ``optimization`` to all `scipy.stats.qmc.QMCEngine`
subclasses to improve characteristics of the quasi-random variates.
- Added tie correction to `scipy.stats.mood`.
- Added tutorials for resampling methods in `scipy.stats`.
- `scipy.stats.bootstrap`, `scipy.stats.permutation_test`, and
`scipy.stats.monte_carlo_test` now automatically detect whether the provided
``statistic`` is vectorized, so passing the ``vectorized`` argument
explicitly is no longer required to take advantage of vectorized statistics.
- Improved the speed of `scipy.stats.permutation_test` for permutation types
``'samples'`` and ``'pairings'``.
- Added ``axis``, ``nan_policy``, and masked array support to
`scipy.stats.jarque_bera`.
- Added the ``nan_policy`` optional argument to `scipy.stats.rankdata`.



Deprecated features
=================
- `scipy.misc` module and all the methods in ``misc`` are deprecated in v1.10
and will be completely removed in SciPy v2.0.0. Users are suggested to
utilize the `scipy.datasets` module instead for the dataset methods.
- `scipy.stats.qmc.LatinHypercube` parameter ``centered`` has been deprecated.
It is replaced by the ``scramble`` argument for more consistency with other
QMC engines.
- `scipy.interpolate.interp2d` class has been deprecated.  The docstring of the
deprecated routine lists recommended replacements.


Expired Deprecations
==================
- There is an ongoing effort to follow through on long-standing deprecations.
- The following previously deprecated features are affected:

- Removed ``cond`` & ``rcond`` kwargs in ``linalg.pinv``
- Removed wrappers ``scipy.linalg.blas.{clapack, flapack}``
- Removed ``scipy.stats.NumericalInverseHermite`` and removed ``tol`` & ``max_intervals`` kwargs from ``scipy.stats.sampling.NumericalInverseHermite``
- Removed ``local_search_options`` kwarg frrom ``scipy.optimize.dual_annealing``.



Other changes
============
- `scipy.stats.bootstrap`, `scipy.stats.permutation_test`, and
`scipy.stats.monte_carlo_test` now automatically detect whether the provided
``statistic`` is vectorized by looking for an ``axis`` parameter in the
signature of ``statistic``. If an ``axis`` parameter is present in
``statistic`` but should not be relied on for vectorized calls, users must
pass option ``vectorized==False`` explicitly.
- `scipy.stats.multivariate_normal` will now raise a ``ValueError`` when the
covariance matrix is not positive semidefinite, regardless of which method
is called.




Authors
=======

* Name (commits)
* h-vetinari (10)
* Jelle Aalbers (1)
* Alan-Hung (1) +
* Tania Allard (7)
* Oren Amsalem (1) +
* Sven Baars (10)
* Balthasar (1) +
* Ross Barnowski (1)
* Christoph Baumgarten (2)
* Peter Bell (2)
* Sebastian Berg (1)
* Aaron Berk (1) +
* boatwrong (1) +
* Jake Bowhay (50)
* Matthew Brett (4)
* Evgeni Burovski (93)
* Matthias Bussonnier (6)
* Dominic C (2)
* Mingbo Cai (1) +
* James Campbell (2) +
* CJ Carey (4)
* cesaregarza (1) +
* charlie0389 (1) +
* Hood Chatham (5)
* Andrew Chin (1) +
* Daniel Ching (1) +
* Leo Chow (1) +
* chris (3) +
* John Clow (1) +
* cm7S (1) +
* cmgodwin (1) +
* Christopher Cowden (2) +
* Henry Cuzco (2) +
* Anirudh Dagar (10)
* Hans Dembinski (2) +
* Jaiden di Lanzo (24) +
* Felipe Dias (1) +
* Dieter Werthmüller (1)
* Giuseppe Dilillo (1) +
* dpoerio (1) +
* drpeteb (1) +
* Christopher Dupuis (1) +
* Jordan Edmunds (1) +
* Pieter Eendebak (1) +
* Jérome Eertmans (1) +
* Fabian Egli (2) +
* Sebastian Ehlert (2) +
* Kian Eliasi (1) +
* Tomohiro Endo (1) +
* Stefan Endres (1)
* Zeb Engberg (4) +
* Jonas Eschle (1) +
* Thomas J. Fan (9)
* fiveseven (1) +
* Neil Flood (1) +
* Franz Forstmayr (1)
* Sara Fridovich-Keil (1)
* David Gilbertson (1) +
* Ralf Gommers (251)
* Marco Gorelli (2) +
* Matt Haberland (381)
* Andrew Hawryluk (2) +
* Christoph Hohnerlein (2) +
* Loïc Houpert (2) +
* Shamus Husheer (1) +
* ideasrule (1) +
* imoiwm (1) +
* Lakshaya Inani (1) +
* Joseph T. Iosue (1)
* iwbc-mzk (1) +
* Nathan Jacobi (3) +
* Julien Jerphanion (5)
* He Jia (1)
* jmkuebler (1) +
* Johannes Müller (1) +
* Vedant Jolly (1) +
* Juan Luis Cano Rodríguez (2)
* Justin (1) +
* jvavrek (1) +
* jyuv (2)
* Kai Mühlbauer (1) +
* Nikita Karetnikov (3) +
* Reinert Huseby Karlsen (1) +
* kaspar (2) +
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A total of 180 people contributed to this release.
People with a "+" by their names contributed a patch for the first time.
This list of names is automatically generated, and may not be fully complete.
Links

Update zopfli from 0.2.1 to 0.2.2.

Changelog

0.2.2

* Added pyproject.toml to source distribution
* Published precompiled wheels for Python 3.11
Links

Update skia-pathops from 0.7.3 to 0.7.4.

Changelog

0.7.4

Support variable number of points in PathPen curveTo/qCurveTo methods, following fontTools BasePen protocol and UFO GLIF spec (63).
Links

Update pyobjc from 9.0 to 9.0.1.

Changelog

9.0.1

-------------

* 512: Fix metadata for ``webView:runJavaScriptConfirmPanelWithMessage:initiatedByFrame:completionHandler:`` and
``webView:runJavaScriptTextInputPanelWithPrompt:defaultText:initiatedByFrame:completionHandler:`` in the WebKit
bindings.

* 508: Reintroduce support for bridgesupport files that was dropped in 9.0.

There are external users for this interface and the replacement used by PyObjC itself
is not yet in a state where it can be used by other projects.

* Framework bindings were updated for the SDK included in Xcode 14.1

* 517: Fix bad markup in overview of wrapped frameworks

* 519: Fix compile error with Python 3.12
Links

Update uharfbuzz from 0.32.0 to 0.35.0.

Changelog

0.35.0

- Bind more of HarfBuzz APIs

0.34.0

- Update to HarfBuzz 7.1.0
- Optimize `draw_glyph_with_pen()` to reuse draw funcs
- Bind HarfBuzz font subsetting APIs
- Bind more of HarfBuzz APIs
- Undeprecate `DrawFuncs.draw_glyph()` and deprecate `DrawFuncs.get_glyph_shape()`

0.33.0

- Update to HarfBuzz 6.0.0
- `Font` constructor can now take another `Font` instance to create a sub font from it
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@pyup-bot pyup-bot mentioned this pull request Mar 20, 2023
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Closing this in favor of #3067

@pyup-bot pyup-bot closed this Mar 27, 2023
@anthrotype anthrotype deleted the pyup-scheduled-update-2023-03-20 branch March 27, 2023 16:06
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