• PyPI: https://pypi.org/project/asttokens
• Repo: https://github.com/gristlabs/asttokens

• PyPI: https://pypi.org/project/attrs
• Homepage: https://www.attrs.org/

22.12.0

Preview style

<!-- Changes that affect Black's preview style -->

- Enforce empty lines before classes and functions with sticky leading comments (3302)
- Reformat empty and whitespace-only files as either an empty file (if no newline is
present) or as a single newline character (if a newline is present) (3348)
- Implicitly concatenated strings used as function args are now wrapped inside
parentheses (3307)
- For assignment statements, prefer splitting the right hand side if the left hand side
fits on a single line (3368)
- Correctly handle trailing commas that are inside a line's leading non-nested parens
(3370)

Configuration

<!-- Changes to how Black can be configured -->

- Fix incorrectly applied `.gitignore` rules by considering the `.gitignore` location
and the relative path to the target file (3338)
- Fix incorrectly ignoring `.gitignore` presence when more than one source directory is
specified (3336)

Parser

<!-- Changes to the parser or to version autodetection -->

- Parsing support has been added for walruses inside generator expression that are
passed as function args (for example,
`any(match := my_re.match(text) for text in texts)`) (3327).

Integrations

<!-- For example, Docker, GitHub Actions, pre-commit, editors -->

- Vim plugin: Optionally allow using the system installation of Black via
`let g:black_use_virtualenv = 0`(3309)

• PyPI: https://pypi.org/project/black
• Changelog: https://pyup.io/changelogs/black/

• PyPI: https://pypi.org/project/certifi
• Repo: https://github.com/certifi/python-certifi

5.1.0

Features
- Add `should_rename_legacy` argument to most functions, which will rename older encodings to their more modern equivalents (e.g., `GB2312` becomes `GB18030`) (264, dan-blanchard)
- Add capital letter sharp S and ISO-8859-15 support (222, SimonWaldherr)
- Add a prober for MacRoman encoding (5 updated as c292b52a97e57c95429ef559af36845019b88b33, Rob Speer and dan-blanchard )
- Add `--minimal` flag to `chardetect` command (214, dan-blanchard)
- Add type annotations to the project and run mypy on CI (261, jdufresne)
- Add support for Python 3.11 (274, hugovk)

Fixes
- Clarify LGPL version in License trove classifier (255, musicinmybrain)
- Remove support for EOL Python 3.6 (260, jdufresne)
- Remove unnecessary guards for non-falsey values (259, jdufresne)

Misc changes
- Switch to Python 3.10 release in GitHub actions (257, jdufresne)
- Remove setup.py in favor of build package (262, jdufresne)
- Run tests on macos, Windows, and 3.11-dev (267, dan-blanchard)

• PyPI: https://pypi.org/project/chardet
• Changelog: https://pyup.io/changelogs/chardet/
• Repo: https://github.com/chardet/chardet

7.0.1

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

- When checking if a file mapping resolved to a file that exists, we weren't
considering files in .whl files.  This is now fixed, closing `issue 1511`_.

- File pattern rules were too strict, forbidding plus signs and curly braces in
directory and file names.  This is now fixed, closing `issue 1513`_.

- Unusual Unicode or control characters in source files could prevent
reporting.  This is now fixed, closing `issue 1512`_.

- The PyPy wheel now installs on PyPy 3.7, 3.8, and 3.9, closing `issue 1510`_.

.. _issue 1510: https://github.com/nedbat/coveragepy/issues/1510
.. _issue 1511: https://github.com/nedbat/coveragepy/issues/1511
.. _issue 1512: https://github.com/nedbat/coveragepy/issues/1512
.. _issue 1513: https://github.com/nedbat/coveragepy/issues/1513


.. _changes_7-0-0:

7.0.0

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

Nothing new beyond 7.0.0b1.


.. _changes_7-0-0b1:

7.0.0b1

<changes_7-0-0b1_>`_.)

- Changes to file pattern matching, which might require updating your
configuration:

- Previously, ``*`` would incorrectly match directory separators, making
 precise matching difficult.  This is now fixed, closing `issue 1407`_.

- Now ``**`` matches any number of nested directories, including none.

- Improvements to combining data files when using the
:ref:`config_run_relative_files` setting:

- During ``coverage combine``, relative file paths are implicitly combined
 without needing a ``[paths]`` configuration setting.  This also fixed
 `issue 991`_.

- A ``[paths]`` setting like ``*/foo`` will now match ``foo/bar.py`` so that
 relative file paths can be combined more easily.

- The setting is properly interpreted in more places, fixing `issue 1280`_.

- Fixed environment variable expansion in pyproject.toml files.  It was overly
broad, causing errors outside of coverage.py settings, as described in `issue
1481`_ and `issue 1345`_.  This is now fixed, but in rare cases will require
changing your pyproject.toml to quote non-string values that use environment
substitution.

- Fixed internal logic that prevented coverage.py from running on
implementations other than CPython or PyPy (`issue 1474`_).

.. _issue 991: https://github.com/nedbat/coveragepy/issues/991
.. _issue 1280: https://github.com/nedbat/coveragepy/issues/1280
.. _issue 1345: https://github.com/nedbat/coveragepy/issues/1345
.. _issue 1407: https://github.com/nedbat/coveragepy/issues/1407
.. _issue 1474: https://github.com/nedbat/coveragepy/issues/1474
.. _issue 1481: https://github.com/nedbat/coveragepy/issues/1481


.. _changes_6-5-0:

6.6.0

- Changes to file pattern matching, which might require updating your
configuration:

- Previously, ``*`` would incorrectly match directory separators, making
 precise matching difficult.  This is now fixed, closing `issue 1407`_.

- Now ``**`` matches any number of nested directories, including none.

- Improvements to combining data files when using the
:ref:`config_run_relative_files` setting, which might require updating your
configuration:

- During ``coverage combine``, relative file paths are implicitly combined
 without needing a ``[paths]`` configuration setting.  This also fixed
 `issue 991`_.

- A ``[paths]`` setting like ``*/foo`` will now match ``foo/bar.py`` so that
 relative file paths can be combined more easily.

- The :ref:`config_run_relative_files` setting is properly interpreted in
 more places, fixing `issue 1280`_.

- When remapping file paths with ``[paths]``, a path will be remapped only if
the resulting path exists.  The documentation has long said the prefix had to
exist, but it was never enforced.  This fixes `issue 608`_, improves `issue
649`_, and closes `issue 757`_.

- Reporting operations now implicitly use the ``[paths]`` setting to remap file
paths within a single data file.  Combining multiple files still requires the
``coverage combine`` step, but this simplifies some single-file situations.
Closes `issue 1212`_ and `issue 713`_.

- The ``coverage report`` command now has a ``--format=`` option.  The original
style is now ``--format=text``, and is the default.

- Using ``--format=markdown`` will write the table in Markdown format, thanks
 to `Steve Oswald <pull 1479_>`_, closing `issue 1418`_.

- Using ``--format=total`` will write a single total number to the
 output.  This can be useful for making badges or writing status updates.

- Combining data files with ``coverage combine`` now hashes the data files to
skip files that add no new information.  This can reduce the time needed.
Many details affect the speed-up, but for coverage.py's own test suite,
combining is about 40% faster. Closes `issue 1483`_.

- When searching for completely un-executed files, coverage.py uses the
presence of ``__init__.py`` files to determine which directories have source
that could have been imported.  However, `implicit namespace packages`_ don't
require ``__init__.py``.  A new setting ``[report]
include_namespace_packages`` tells coverage.py to consider these directories
during reporting.  Thanks to `Felix Horvat <pull 1387_>`_ for the
contribution.  Closes `issue 1383`_ and `issue 1024`_.

- Fixed environment variable expansion in pyproject.toml files.  It was overly
broad, causing errors outside of coverage.py settings, as described in `issue
1481`_ and `issue 1345`_.  This is now fixed, but in rare cases will require
changing your pyproject.toml to quote non-string values that use environment
substitution.

- An empty file has a coverage total of 100%, but used to fail with
``--fail-under``.  This has been fixed, closing `issue 1470`_.

- The text report table no longer writes out two separator lines if there are
no files listed in the table.  One is plenty.

- Fixed a mis-measurement of a strange use of wildcard alternatives in
match/case statements, closing `issue 1421`_.

- Fixed internal logic that prevented coverage.py from running on
implementations other than CPython or PyPy (`issue 1474`_).

- The deprecated ``[run] note`` setting has been completely removed.

.. _implicit namespace packages: https://peps.python.org/pep-0420/
.. _issue 608: https://github.com/nedbat/coveragepy/issues/608
.. _issue 649: https://github.com/nedbat/coveragepy/issues/649
.. _issue 713: https://github.com/nedbat/coveragepy/issues/713
.. _issue 757: https://github.com/nedbat/coveragepy/issues/757
.. _issue 991: https://github.com/nedbat/coveragepy/issues/991
.. _issue 1024: https://github.com/nedbat/coveragepy/issues/1024
.. _issue 1212: https://github.com/nedbat/coveragepy/issues/1212
.. _issue 1280: https://github.com/nedbat/coveragepy/issues/1280
.. _issue 1345: https://github.com/nedbat/coveragepy/issues/1345
.. _issue 1383: https://github.com/nedbat/coveragepy/issues/1383
.. _issue 1407: https://github.com/nedbat/coveragepy/issues/1407
.. _issue 1418: https://github.com/nedbat/coveragepy/issues/1418
.. _issue 1421: https://github.com/nedbat/coveragepy/issues/1421
.. _issue 1470: https://github.com/nedbat/coveragepy/issues/1470
.. _issue 1474: https://github.com/nedbat/coveragepy/issues/1474
.. _issue 1481: https://github.com/nedbat/coveragepy/issues/1481
.. _issue 1483: https://github.com/nedbat/coveragepy/issues/1483
.. _pull 1387: https://github.com/nedbat/coveragepy/pull/1387
.. _pull 1479: https://github.com/nedbat/coveragepy/pull/1479



.. _changes_6-6-0b1:

6.6.0b1

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

• PyPI: https://pypi.org/project/coverage
• Changelog: https://pyup.io/changelogs/coverage/
• Repo: https://github.com/nedbat/coveragepy

1.6.4

Fixes: 985, 1003, 1005, 1018, 1024, 1025, 1030, 1031, 1042, 1064, 1081, 1100, 1104, 1111, 1126 

Improvements: 532, 989, 1022, 1056, 1099

• PyPI: https://pypi.org/project/debugpy
• Changelog: https://pyup.io/changelogs/debugpy/
• Homepage: https://aka.ms/debugpy

3.8.1

-------------------
- Fix mypy does not accept ``filelock.FileLock`` as a valid type

• PyPI: https://pypi.org/project/filelock
• Changelog: https://pyup.io/changelogs/filelock/
• Repo: https://github.com/tox-dev/py-filelock/archive/main.zip

0.5.0

Changelist

* Support for custom serializers with fire.Fire(serializer=your_serializer) 345 
* Auto-generated help text now shows short arguments (e.g. -a) when appropriate 318 
* Documentation improvements (334, 399, 372, 383, 387)
* Default values are now shown in help for kwonly arguments 414 
* Completion script fix where previously completions might not show at all 336 

Highlighted change: `fire.Fire(serialize=custom_serialize_fn)` 345

You can now pass a custom serialization function to fire to control how the output is serialized.

Your serialize function should accept an object as input, and may return a string as output. If it returns a string, Fire will display that string. If it returns None, Fire will display nothing. If it returns something else, Fire will use the default serialization method to convert it to text.

The default serialization remains unchanged from previous versions. Primitives and collections of primitives are serialized one item per line. Objects that define a custom `__str__` function are serialized using that. Complex objects that don't define `__str__` trigger their help screen rather than being serialized and displayed.

• PyPI: https://pypi.org/project/fire
• Changelog: https://pyup.io/changelogs/fire/
• Repo: https://github.com/google/python-fire

6.61.0

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

This release improves our treatment of database keys, which based on (among other things)
the source code of your test function.  We now post-process this source to ignore
decorators, comments, trailing whitespace, and blank lines - so that you can add
:obj:`example() <hypothesis.example>`\ s or make some small no-op edits to your code
without preventing replay of any known failing or covering examples.

6.60.1

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

This patch updates our vendored `list of top-level domains <https://www.iana.org/domains/root/db>`__,
which is used by the provisional :func:`~hypothesis.provisional.domains` strategy.

6.60.0

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

This release improves Hypothesis' ability to resolve forward references in
type annotations. It fixes a bug that prevented
:func:`~hypothesis.strategies.builds` from being used with `pydantic models that
possess updated forward references <https://pydantic-docs.helpmanual.io/usage/postponed_annotations/>`__. See :issue:`3519`.

6.59.0

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

The :obj:`example(...) <hypothesis.example>` decorator now has a ``.via()``
method, which future tools will use to track automatically-added covering
examples (:issue:`3506`).

6.58.2

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

This patch updates our vendored `list of top-level domains <https://www.iana.org/domains/root/db>`__,
which is used by the provisional :func:`~hypothesis.provisional.domains` strategy.

• PyPI: https://pypi.org/project/hypothesis
• Changelog: https://pyup.io/changelogs/hypothesis/
• Homepage: https://hypothesis.works

• PyPI: https://pypi.org/project/identify
• Repo: https://github.com/pre-commit/identify

• PyPI: https://pypi.org/project/importlib-metadata
• Changelog: https://pyup.io/changelogs/importlib-metadata/
• Repo: https://github.com/python/importlib_metadata

5.11.4

- Fixed 2038 (again): stop installing documentation files to top-level site-packages (2057) mgorny
- CI: only run release workflows for upstream (2052) hugovk
- Tests: remove obsolete toml import from the test suite (1978) mgorny
- CI: bump Poetry 1.3.1 (2058) staticdev

5.11.3

- Fixed 2007: settings for py3.11 (2040) staticdev
- Fixed 2038: packaging pypoetry (2042) staticdev
- Docs: renable portray (2043) timothycrosley
- Ci: add minimum GitHub token permissions for workflows (1969) varunsh-coder
- Ci: general CI improvements (2041) staticdev
- Ci: add release workflow (2026) staticdev

5.11.2

- Hotfix 2034: isort --version is not accurate on 5.11.x releases (2034) gschaffner

5.11.1

- Hotfix 2031: only call `colorama.init` if `colorama` is available (2032) tomaarsen

5.11.0

- Added official support for Python 3.11 (1996, 2008, 2011) staticdev
- Dropped support for Python 3.6 (2019) barrelful
- Fixed problematic tests (2021, 2022) staticdev
- Fixed 1960: Rich compatibility (1961) ofek
- Fixed 1945, 1986: Python 4.0 upper bound dependency resolving issues staticdev
- Fixed Pyodide CDN URL (1991) andersk
- Docs: clarify description of use_parentheses (1941) mgedmin
- Fixed 1976: `black` compatibility for `.pyi` files XuehaiPan
- Implemented 1683: magic trailing comma option (1876) legau
- Add missing space in unrecoverable exception message (1933) andersk
- Fixed 1895: skip-gitignore: use allow list, not deny list bmalehorn
- Fixed 1917: infinite loop for unmatched parenthesis (1919) anirudnits
- Docs: shared profiles (1896) matthewhughes934
- Fixed build-backend values in the example plugins (1892) mgorny
- Remove reference to jamescurtin/isort-action (1885) AndrewLane
- Split long cython import lines (1931) davidcollins001
- Update plone profile: copy of `black`, plus three settings. (1926) mauritsvanrees
- Fixed 1815, 1862: Add a command-line flag to sort all re-exports (1863) parafoxia
- Fixed 1854: `lines_before_imports` appending lines after comments (1861) legau
- Remove redundant `multi_line_output = 3` from "Compatibility with black" (1858) jdufresne
- Add tox config example (1856) umonaca
- Docs: add examples for frozenset and tuple settings (1822) sgaist
- Docs: add multiple config documentation (1850) anirudnits

• PyPI: https://pypi.org/project/isort
• Changelog: https://pyup.io/changelogs/isort/
• Repo: https://pycqa.github.io/isort/

4.17.3

=======

* Fix instantiating validators with cached refs to boolean schemas
rather than objects (1018).

4.17.2

=======

* Empty strings are not valid relative JSON Pointers (aren't valid under the
RJP format).
* Durations without (trailing) units are not valid durations (aren't
valid under the duration format). This involves changing the dependency
used for validating durations (from ``isoduration`` to ``isodate``).

• PyPI: https://pypi.org/project/jsonschema
• Changelog: https://pyup.io/changelogs/jsonschema/

23.13.1

--------

* 573: Fixed failure in macOS backend when attempting to set a
password after previously setting a blank password, including a
test applying to all backends.

23.13.0

--------

* 608: Added support for tab completion on the ``keyring`` command
if the ``completion`` extra is installed (``keyring[completion]``).

23.12.1

--------

* 612: Prevent installation of ``pywin32-ctypes 0.1.2`` with broken
``use2to3`` directive.

23.12.0

--------

* 607: Removed PSF license as it was unused and confusing. Project
remains MIT licensed as always.

• PyPI: https://pypi.org/project/keyring
• Changelog: https://pyup.io/changelogs/keyring/
• Repo: https://github.com/jaraco/keyring

4.9.2

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

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

* CVE-2022-2309: A Bug in libxml2 2.9.1[0-4] could let namespace declarations
from a failed parser run leak into later parser runs.  This bug was worked around
in lxml and resolved in libxml2 2.10.0.
https://gitlab.gnome.org/GNOME/libxml2/-/issues/378

Other changes
-------------

* LP1981760: ``Element.attrib`` now registers as ``collections.abc.MutableMapping``.

* lxml now has a static build setup for macOS on ARM64 machines (not used for building wheels).
Patch by Quentin Leffray.

• PyPI: https://pypi.org/project/lxml
• Changelog: https://pyup.io/changelogs/lxml/
• Homepage: https://lxml.de/

6.0.3

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

Features
--------

- Declared the official support for Python 3.11 — by :user:`mlegner`. (:issue:`872`)

• PyPI: https://pypi.org/project/multidict
• Changelog: https://pyup.io/changelogs/multidict/
• Repo: https://github.com/aio-libs/multidict

0.7.2

([Full Changelog](https://github.com/jupyter/nbclient/compare/v0.7.1...e6f8b9f7001f9988a29bb011a0f6052987e6507a))

Merged PRs

- Allow space after In [264](https://github.com/jupyter/nbclient/pull/264) ([davidbrochart](https://github.com/davidbrochart))
- Fix jupyter_core pinning [263](https://github.com/jupyter/nbclient/pull/263) ([davidbrochart](https://github.com/davidbrochart))
- Update README, add Python 3.11 [260](https://github.com/jupyter/nbclient/pull/260) ([davidbrochart](https://github.com/davidbrochart))

Contributors to this release

([GitHub contributors page for this release](https://github.com/jupyter/nbclient/graphs/contributors?from=2022-11-29&to=2022-11-29&type=c))

[davidbrochart](https://github.com/search?q=repo%3Ajupyter%2Fnbclient+involves%3Adavidbrochart+updated%3A2022-11-29..2022-11-29&type=Issues)

<!-- <END NEW CHANGELOG ENTRY> -->

0.7.1

([Full Changelog](https://github.com/jupyter/nbclient/compare/v0.7.0...168340e8313e63fd9e037280f98ed22d47e2231b))

Maintenance and upkeep improvements

- CI Refactor [257](https://github.com/jupyter/nbclient/pull/257) ([blink1073](https://github.com/blink1073))

Other merged PRs

- Remove nest-asyncio [259](https://github.com/jupyter/nbclient/pull/259) ([davidbrochart](https://github.com/davidbrochart))
- Add upper bound to dependencies [258](https://github.com/jupyter/nbclient/pull/258) ([davidbrochart](https://github.com/davidbrochart))

Contributors to this release

([GitHub contributors page for this release](https://github.com/jupyter/nbclient/graphs/contributors?from=2022-10-06&to=2022-11-29&type=c))

[blink1073](https://github.com/search?q=repo%3Ajupyter%2Fnbclient+involves%3Ablink1073+updated%3A2022-10-06..2022-11-29&type=Issues) | [davidbrochart](https://github.com/search?q=repo%3Ajupyter%2Fnbclient+involves%3Adavidbrochart+updated%3A2022-10-06..2022-11-29&type=Issues) | [pre-commit-ci](https://github.com/search?q=repo%3Ajupyter%2Fnbclient+involves%3Apre-commit-ci+updated%3A2022-10-06..2022-11-29&type=Issues)

• PyPI: https://pypi.org/project/nbclient
• Changelog: https://pyup.io/changelogs/nbclient/

7.2.7

([Full Changelog](https://github.com/jupyter/nbconvert/compare/v7.2.6...a32c3c1063e081d7e639b7f1670788d220b93810))

Bugs fixed

- Fix Hanging Tests on Linux [1924](https://github.com/jupyter/nbconvert/pull/1924) ([blink1073](https://github.com/blink1073))

Maintenance and upkeep improvements

- Adopt ruff and handle lint [1925](https://github.com/jupyter/nbconvert/pull/1925) ([blink1073](https://github.com/blink1073))

Contributors to this release

([GitHub contributors page for this release](https://github.com/jupyter/nbconvert/graphs/contributors?from=2022-12-05&to=2022-12-19&type=c))

[blink1073](https://github.com/search?q=repo%3Ajupyter%2Fnbconvert+involves%3Ablink1073+updated%3A2022-12-05..2022-12-19&type=Issues) | [pre-commit-ci](https://github.com/search?q=repo%3Ajupyter%2Fnbconvert+involves%3Apre-commit-ci+updated%3A2022-12-05..2022-12-19&type=Issues)

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7.2.6

([Full Changelog](https://github.com/jupyter/nbconvert/compare/v7.2.5...788dd3c4de1b6333e807250d0f33b59b80d5b202))

Maintenance and upkeep improvements

- Include all templates in sdist [1916](https://github.com/jupyter/nbconvert/pull/1916) ([blink1073](https://github.com/blink1073))
- clean up workflows [1911](https://github.com/jupyter/nbconvert/pull/1911) ([blink1073](https://github.com/blink1073))
- CI Cleanup [1910](https://github.com/jupyter/nbconvert/pull/1910) ([blink1073](https://github.com/blink1073))

Documentation improvements

- Fix docs build and switch to PyData Sphinx Theme [1912](https://github.com/jupyter/nbconvert/pull/1912) ([blink1073](https://github.com/blink1073))

Contributors to this release

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• PyPI: https://pypi.org/project/nbconvert
• Changelog: https://pyup.io/changelogs/nbconvert/

• PyPI: https://pypi.org/project/nbformat

1.24.1

discovered after the 1.24.0 release. The Python versions supported by
this release are 3.8-3.11.

Contributors

A total of 12 people contributed to this release. People with a \"+\" by
their names contributed a patch for the first time.

-   Andrew Nelson
-   Ben Greiner +
-   Charles Harris
-   Clément Robert
-   Matteo Raso
-   Matti Picus
-   Melissa Weber Mendonça
-   Miles Cranmer
-   Ralf Gommers
-   Rohit Goswami
-   Sayed Adel
-   Sebastian Berg

Pull requests merged

A total of 18 pull requests were merged for this release.

-   [22820](https://github.com/numpy/numpy/pull/22820): BLD: add workaround in setup.py for newer setuptools
-   [22830](https://github.com/numpy/numpy/pull/22830): BLD: CIRRUS_TAG redux
-   [22831](https://github.com/numpy/numpy/pull/22831): DOC: fix a couple typos in 1.23 notes
-   [22832](https://github.com/numpy/numpy/pull/22832): BUG: Fix refcounting errors found using pytest-leaks
-   [22834](https://github.com/numpy/numpy/pull/22834): BUG, SIMD: Fix invalid value encountered in several ufuncs
-   [22837](https://github.com/numpy/numpy/pull/22837): TST: ignore more np.distutils.log imports
-   [22839](https://github.com/numpy/numpy/pull/22839): BUG: Do not use getdata() in np.ma.masked_invalid
-   [22847](https://github.com/numpy/numpy/pull/22847): BUG: Ensure correct behavior for rows ending in delimiter in\...
-   [22848](https://github.com/numpy/numpy/pull/22848): BUG, SIMD: Fix the bitmask of the boolean comparison
-   [22857](https://github.com/numpy/numpy/pull/22857): BLD: Help raspian arm + clang 13 about \_\_builtin_mul_overflow
-   [22858](https://github.com/numpy/numpy/pull/22858): API: Ensure a full mask is returned for masked_invalid
-   [22866](https://github.com/numpy/numpy/pull/22866): BUG: Polynomials now copy properly (#22669)
-   [22867](https://github.com/numpy/numpy/pull/22867): BUG, SIMD: Fix memory overlap in ufunc comparison loops
-   [22868](https://github.com/numpy/numpy/pull/22868): BUG: Fortify string casts against floating point warnings
-   [22875](https://github.com/numpy/numpy/pull/22875): TST: Ignore nan-warnings in randomized out tests
-   [22883](https://github.com/numpy/numpy/pull/22883): MAINT: restore npymath implementations needed for freebsd
-   [22884](https://github.com/numpy/numpy/pull/22884): BUG: Fix integer overflow in in1d for mixed integer dtypes #22877
-   [22887](https://github.com/numpy/numpy/pull/22887): BUG: Use whole file for encoding checks with `charset_normalizer`.

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1.24

The NumPy 1.24.0 release continues the ongoing work to improve the
handling and promotion of dtypes, increase the execution speed, and
clarify the documentation. There are also a large number of new and
expired deprecations due to changes in promotion and cleanups. This
might be called a deprecation release. Highlights are

-   Many new deprecations, check them out.
-   Many expired deprecations,
-   New F2PY features and fixes.
-   New \"dtype\" and \"casting\" keywords for stacking functions.

See below for the details,

Deprecations

Deprecate fastCopyAndTranspose and PyArray_CopyAndTranspose

The `numpy.fastCopyAndTranspose` function has been deprecated. Use the
corresponding copy and transpose methods directly:

 arr.T.copy()

The underlying C function `PyArray_CopyAndTranspose` has also been
deprecated from the NumPy C-API.

([gh-22313](https://github.com/numpy/numpy/pull/22313))

Conversion of out-of-bound Python integers

Attempting a conversion from a Python integer to a NumPy value will now
always check whether the result can be represented by NumPy. This means
the following examples will fail in the future and give a
`DeprecationWarning` now:

 np.uint8(-1)
 np.array([3000], dtype=np.int8)

Many of these did succeed before. Such code was mainly useful for
unsigned integers with negative values such as `np.uint8(-1)` giving
`np.iinfo(np.uint8).max`.

Note that conversion between NumPy integers is unaffected, so that
`np.array(-1).astype(np.uint8)` continues to work and use C integer
overflow logic.

([gh-22393](https://github.com/numpy/numpy/pull/22393))

Deprecate `msort`

The `numpy.msort` function is deprecated. Use `np.sort(a, axis=0)`
instead.

([gh-22456](https://github.com/numpy/numpy/pull/22456))

`np.str0` and similar are now deprecated

The scalar type aliases ending in a 0 bit size: `np.object0`, `np.str0`,
`np.bytes0`, `np.void0`, `np.int0`, `np.uint0` as well as `np.bool8` are
now deprecated and will eventually be removed.

([gh-22607](https://github.com/numpy/numpy/pull/22607))

Expired deprecations

-   The `normed` keyword argument has been removed from
 [np.histogram]{.title-ref}, [np.histogram2d]{.title-ref}, and
 [np.histogramdd]{.title-ref}. Use `density` instead. If `normed` was
 passed by position, `density` is now used.

 ([gh-21645](https://github.com/numpy/numpy/pull/21645))

-   Ragged array creation will now always raise a `ValueError` unless
 `dtype=object` is passed. This includes very deeply nested
 sequences.

 ([gh-22004](https://github.com/numpy/numpy/pull/22004))

-   Support for Visual Studio 2015 and earlier has been removed.

-   Support for the Windows Interix POSIX interop layer has been
 removed.

 ([gh-22139](https://github.com/numpy/numpy/pull/22139))

-   Support for cygwin \< 3.3 has been removed.

 ([gh-22159](https://github.com/numpy/numpy/pull/22159))

-   The mini() method of `np.ma.MaskedArray` has been removed. Use
 either `np.ma.MaskedArray.min()` or `np.ma.minimum.reduce()`.

-   The single-argument form of `np.ma.minimum` and `np.ma.maximum` has
 been removed. Use `np.ma.minimum.reduce()` or
 `np.ma.maximum.reduce()` instead.

 ([gh-22228](https://github.com/numpy/numpy/pull/22228))

-   Passing dtype instances other than the canonical (mainly native
 byte-order) ones to `dtype=` or `signature=` in ufuncs will now
 raise a `TypeError`. We recommend passing the strings `"int8"` or
 scalar types `np.int8` since the byte-order, datetime/timedelta
 unit, etc. are never enforced. (Initially deprecated in NumPy 1.21.)

 ([gh-22540](https://github.com/numpy/numpy/pull/22540))

-   The `dtype=` argument to comparison ufuncs is now applied correctly.
 That means that only `bool` and `object` are valid values and
 `dtype=object` is enforced.

 ([gh-22541](https://github.com/numpy/numpy/pull/22541))

-   The deprecation for the aliases `np.object`, `np.bool`, `np.float`,
 `np.complex`, `np.str`, and `np.int` is expired (introduces NumPy
 1.20). Some of these will now give a FutureWarning in addition to
 raising an error since they will be mapped to the NumPy scalars in
 the future.

 ([gh-22607](https://github.com/numpy/numpy/pull/22607))

Compatibility notes

`array.fill(scalar)` may behave slightly different

`numpy.ndarray.fill` may in some cases behave slightly different now due
to the fact that the logic is aligned with item assignment:

 arr = np.array([1])   with any dtype/value
 arr.fill(scalar)
  is now identical to:
 arr[0] = scalar

Previously casting may have produced slightly different answers when
using values that could not be represented in the target `dtype` or when
the target had `object` dtype.

([gh-20924](https://github.com/numpy/numpy/pull/20924))

Subarray to object cast now copies

Casting a dtype that includes a subarray to an object will now ensure a
copy of the subarray. Previously an unsafe view was returned:

 arr = np.ones(3, dtype=[("f", "i", 3)])
 subarray_fields = arr.astype(object)[0]
 subarray = subarray_fields[0]   "f" field

 np.may_share_memory(subarray, arr)

Is now always false. While previously it was true for the specific cast.

([gh-21925](https://github.com/numpy/numpy/pull/21925))

Returned arrays respect uniqueness of dtype kwarg objects

When the `dtype` keyword argument is used with
:py`np.array()`{.interpreted-text role="func"} or
:py`asarray()`{.interpreted-text role="func"}, the dtype of the returned
array now always exactly matches the dtype provided by the caller.

In some cases this change means that a *view* rather than the input
array is returned. The following is an example for this on 64bit Linux
where `long` and `longlong` are the same precision but different
`dtypes`:

 >>> arr = np.array([1, 2, 3], dtype="long")
 >>> new_dtype = np.dtype("longlong")
 >>> new = np.asarray(arr, dtype=new_dtype)
 >>> new.dtype is new_dtype
 True
 >>> new is arr
 False

Before the change, the `dtype` did not match because `new is arr` was
`True`.

([gh-21995](https://github.com/numpy/numpy/pull/21995))

DLPack export raises `BufferError`

When an array buffer cannot be exported via DLPack a `BufferError` is
now always raised where previously `TypeError` or `RuntimeError` was
raised. This allows falling back to the buffer protocol or
`__array_interface__` when DLPack was tried first.

([gh-22542](https://github.com/numpy/numpy/pull/22542))

NumPy builds are no longer tested on GCC-6

Ubuntu 18.04 is deprecated for GitHub actions and GCC-6 is not available
on Ubuntu 20.04, so builds using that compiler are no longer tested. We
still test builds using GCC-7 and GCC-8.

([gh-22598](https://github.com/numpy/numpy/pull/22598))

New Features

New attribute `symbol` added to polynomial classes

The polynomial classes in the `numpy.polynomial` package have a new
`symbol` attribute which is used to represent the indeterminate of the
polynomial. This can be used to change the value of the variable when
printing:

 >>> P_y = np.polynomial.Polynomial([1, 0, -1], symbol="y")
 >>> print(P_y)
 1.0 + 0.0·y¹ - 1.0·y²

Note that the polynomial classes only support 1D polynomials, so
operations that involve polynomials with different symbols are
disallowed when the result would be multivariate:

 >>> P = np.polynomial.Polynomial([1, -1])   default symbol is "x"
 >>> P_z = np.polynomial.Polynomial([1, 1], symbol="z")
 >>> P * P_z
 Traceback (most recent call last)
    ...
 ValueError: Polynomial symbols differ

The symbol can be any valid Python identifier. The default is
`symbol=x`, consistent with existing behavior.

([gh-16154](https://github.com/numpy/numpy/pull/16154))

F2PY support for Fortran `character` strings

F2PY now supports wrapping Fortran functions with:

-   character (e.g. `character x`)
-   character array (e.g. `character, dimension(n) :: x`)
-   character string (e.g. `character(len=10) x`)
-   and character string array (e.g.
 `character(len=10), dimension(n, m) :: x`)

arguments, including passing Python unicode strings as Fortran character
string arguments.

([gh-19388](https://github.com/numpy/numpy/pull/19388))

New function `np.show_runtime`

A new function `numpy.show_runtime` has been added to display the
runtime information of the machine in addition to `numpy.show_config`
which displays the build-related information.

([gh-21468](https://github.com/numpy/numpy/pull/21468))

`strict` option for `testing.assert_array_equal`

The `strict` option is now available for `testing.assert_array_equal`.
Setting `strict=True` will disable the broadcasting behaviour for
scalars and ensure that input arrays have the same data type.

([gh-21595](https://github.com/numpy/numpy/pull/21595))

New parameter `equal_nan` added to `np.unique`

`np.unique` was changed in 1.21 to treat all `NaN` values as equal and
return a single `NaN`. Setting `equal_nan=False` will restore pre-1.21
behavior to treat `NaNs` as unique. Defaults to `True`.

([gh-21623](https://github.com/numpy/numpy/pull/21623))

`casting` and `dtype` keyword arguments for `numpy.stack`

The `casting` and `dtype` keyword arguments are now available for
`numpy.stack`. To use them, write
`np.stack(..., dtype=None, casting='same_kind')`.

`casting` and `dtype` keyword arguments for `numpy.vstack`

The `casting` and `dtype` keyword arguments are now available for
`numpy.vstack`. To use them, write
`np.vstack(..., dtype=None, casting='same_kind')`.

`casting` and `dtype` keyword arguments for `numpy.hstack`

The `casting` and `dtype` keyword arguments are now available for
`numpy.hstack`. To use them, write
`np.hstack(..., dtype=None, casting='same_kind')`.

([gh-21627](https://github.com/numpy/numpy/pull/21627))

The bit generator underlying the singleton RandomState can be changed

The singleton `RandomState` instance exposed in the `numpy.random`
module is initialized at startup with the `MT19937` bit generator. The
new function `set_bit_generator` allows the default bit generator to be
replaced with a user-provided bit generator. This function has been
introduced to provide a method allowing seamless integration of a
high-quality, modern bit generator in new code with existing code that
makes use of the singleton-provided random variate generating functions.
The companion function `get_bit_generator` returns the current bit
generator being used by the singleton `RandomState`. This is provided to
simplify restoring the original source of randomness if required.

The preferred method to generate reproducible random numbers is to use a
modern bit generator in an instance of `Generator`. The function
`default_rng` simplifies instantiation:

 >>> rg = np.random.default_rng(3728973198)
 >>> rg.random()

The same bit generator can then be shared with the singleton instance so
that calling functions in the `random` module will use the same bit
generator:

 >>> orig_bit_gen = np.random.get_bit_generator()
 >>> np.random.set_bit_generator(rg.bit_generator)
 >>> np.random.normal()

The swap is permanent (until reversed) and so any call to functions in
the `random` module will use the new bit generator. The original can be
restored if required for code to run correctly:

 >>> np.random.set_bit_generator(orig_bit_gen)

([gh-21976](https://github.com/numpy/numpy/pull/21976))

`np.void` now has a `dtype` argument

NumPy now allows constructing structured void scalars directly by
passing the `dtype` argument to `np.void`.

([gh-22316](https://github.com/numpy/numpy/pull/22316))

Improvements

F2PY Improvements

-   The generated extension modules don\'t use the deprecated NumPy-C
 API anymore
-   Improved `f2py` generated exception messages
-   Numerous bug and `flake8` warning fixes
-   various CPP macros that one can use within C-expressions of
 signature files are prefixed with `f2py_`. For example, one should
 use `f2py_len(x)` instead of `len(x)`
-   A new construct `character(f2py_len=...)` is introduced to support
 returning assumed length character strings (e.g. `character(len=*)`)
 from wrapper functions

A hook to support rewriting `f2py` internal data structures after
reading all its input files is introduced. This is required, for
instance, for BC of SciPy support where character arguments are treated
as character strings arguments in `C` expressions.

([gh-19388](https://github.com/numpy/numpy/pull/19388))

IBM zSystems Vector Extension Facility (SIMD)

Added support for SIMD extensions of zSystem (z13, z14, z15), through
the universal intrinsics interface. This support leads to performance
improvements for all SIMD kernels implemented using the universal
intrinsics, including the following operations: rint, floor, trunc,
ceil, sqrt, absolute, square, reciprocal, tanh, sin, cos, equal,
not_equal, greater, greater_equal, less, less_equal, maximum, minimum,
fmax, fmin, argmax, argmin, add, subtract, multiply, divide.

([gh-20913](https://github.com/numpy/numpy/pull/20913))

NumPy now gives floating point errors in casts

In most cases, NumPy previously did not give floating point warnings or
errors when these happened during casts. For examples, casts like:

 np.array([2e300]).astype(np.float32)   overflow for float32
 np.array([np.inf]).astype(np.int64)

Should now generally give floating point warnings. These warnings should
warn that floating point overflow occurred. For errors when converting
floating point values to integers users should expect invalid value
warnings.

Users can modify the behavior of these warnings using `np.errstate`.

Note that for float to int casts, the exact warnings that are given may
be platform dependent. For example:

 arr = np.full(100, value=1000, dtype=np.float64)
 arr.astype(np.int8)

May give a result equivalent to (the intermediate cast means no warning
is given):

 arr.astype(np.int64).astype(np.int8)

May return an undefined result, with a warning set:

 RuntimeWarning: invalid value encountered in cast

The precise behavior is subject to the C99 standard and its
implementation in both software and hardware.

([gh-21437](https://github.com/numpy/numpy/pull/21437))

F2PY supports the value attribute

The Fortran standard requires that variables declared with the `value`
attribute must be passed by value instead of reference. F2PY now
supports this use pattern correctly. So
`integer, intent(in), value :: x` in Fortran codes will have correct
wrappers generated.

([gh-21807](https://github.com/numpy/numpy/pull/21807))

Added pickle support for third-party BitGenerators

The pickle format for bit generators was extended to allow each bit
generator to supply its own constructor when during pickling. Previous
versions of NumPy only supported unpickling `Generator` instances
created with one of the core set of bit generators supplied with NumPy.
Attempting to unpickle a `Generator` that used a third-party bit
generators would fail since the constructor used during the unpickling
was only aware of the bit generators included in NumPy.

([gh-22014](https://github.com/numpy/numpy/pull/22014))

arange() now explicitly fails with dtype=str

Previously, the `np.arange(n, dtype=str)` function worked for `n=1` and
`n=2`, but would raise a non-specific exception message for other values
of `n`. Now, it raises a [TypeError]{.title-ref} informing that `arange`
does not support string dtypes:

 >>> np.arange(2, dtype=str)
 Traceback (most recent call last)
    ...
 TypeError: arange() not supported for inputs with DType <class 'numpy.dtype[str_]'>.

([gh-22055](https://github.com/numpy/numpy/pull/22055))

`numpy.typing` protocols are now runtime checkable

The protocols used in `numpy.typing.ArrayLike` and
`numpy.typing.DTypeLike` are now properly marked as runtime checkable,
making them easier to use for runtime type checkers.

([gh-22357](https://github.com/numpy/numpy/pull/22357))

Performance improvements and changes

Faster version of `np.isin` and `np.in1d` for integer arrays

`np.in1d` (used by `np.isin`) can now switch to a faster algorithm (up
to \>10x faster) when it is passed two integer arrays. This is often
automatically used, but you can use `kind="sort"` or `kind="table"` to
force the old or new method, respectively.

([gh-12065](https://github.com/numpy/numpy/pull/12065))

Faster comparison operators

The comparison functions (`numpy.equal`, `numpy.not_equal`,
`numpy.less`, `numpy.less_equal`, `numpy.greater` and
`numpy.greater_equal`) are now much faster as they are now vectorized
with universal intrinsics. For a CPU with SIMD extension AVX512BW, the
performance gain is up to 2.57x, 1.65x and 19.15x for integer, float and
boolean data types, respectively (with N=50000).

([gh-21483](https://github.com/numpy/numpy/pull/21483))

Changes

Better reporting of integer division overflow

Integer division overflow of scalars and arrays used to provide a
`RuntimeWarning` and the return value was undefined leading to crashes
at rare occasions:

 >>> np.array([np.iinfo(np.int32).min]*10, dtype=np.int32) // np.int32(-1)
 <stdin>:1: RuntimeWarning: divide by zero encountered in floor_divide
 array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int32)

Integer division overflow now returns the input dtype\'s minimum value
and raise the following `RuntimeWarning`:

 >>> np.array([np.iinfo(np.int32).min]*10, dtype=np.int32) // np.int32(-1)
 <stdin>:1: RuntimeWarning: overflow encountered in floor_divide
 array([-2147483648, -2147483648, -2147483648, -2147483648, -2147483648,
        -2147483648, -2147483648, -2147483648, -2147483648, -2147483648],
       dtype=int32)

([gh-21506](https://github.com/numpy/numpy/pull/21506))

`masked_invalid` now modifies the mask in-place

When used with `copy=False`, `numpy.ma.masked_invalid` now modifies the
input masked array in-place. This makes it behave identically to
`masked_where` and better matches the documentation.

([gh-22046](https://github.com/numpy/numpy/pull/22046))

`nditer`/`NpyIter` allows all allocating all operands

The NumPy iterator available through `np.nditer` in Python and as
`NpyIter` in C now supports allocating all arrays. The iterator shape
defaults to `()` in this case. The operands dtype must be provided,
since a \"common dtype\" cannot be inferred from the other inputs.

([gh-22457](https://github.com/numpy/numpy/pull/22457))

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• PyPI: https://pypi.org/project/numpy
• Changelog: https://pyup.io/changelogs/numpy/
• Homepage: https://www.numpy.org

22.0

~~~~~~~~~~~~~~~~~

* Explicitly declare support for Python 3.11 (:issue:`587`)
* Remove support for Python 3.6 (:issue:`500`)
* Remove ``LegacySpecifier`` and ``LegacyVersion`` (:issue:`407`)
* Add ``__hash__`` and ``__eq__`` to ``Requirement`` (:issue:`499`)
* Add a ``cpNNN-none-any`` tag (:issue:`541`)
* Adhere to :pep:`685` when evaluating markers with extras (:issue:`545`)
* Allow accepting locally installed prereleases with ``SpecifierSet``  (:issue:`515`)
* Allow pre-release versions in marker evaluation (:issue:`523`)
* Correctly parse ELF for musllinux on Big Endian (:issue:`538`)
* Document ``packaging.utils.NormalizedName`` (:issue:`565`)
* Document exceptions raised by functions in ``packaging.utils`` (:issue:`544`)
* Fix compatible version specifier incorrectly strip trailing ``0`` (:issue:`493`)
* Fix macOS platform tags with old macOS SDK (:issue:`513`)
* Forbid prefix version matching on pre-release/post-release segments (:issue:`563`)
* Normalize specifier version for prefix matching (:issue:`561`)
* Improve documentation for ``packaging.specifiers`` and ``packaging.version``. (:issue:`572`)
* ``Marker.evaluate`` will now assume evaluation environment with empty ``extra``.
Evaluating markers like ``"extra == 'xyz'"`` without passing any extra in the
``environment`` will no longer raise an exception (:issue:`550`)
* Remove dependency on ``pyparsing``, by replacing it with a hand-written parser.
This package now has no runtime dependencies (:issue:`468`)
* Update return type hint for ``Specifier.filter`` and ``SpecifierSet.filter``
to use ``Iterator`` instead of ``Iterable`` (:issue:`584`)

• PyPI: https://pypi.org/project/packaging
• Changelog: https://pyup.io/changelogs/packaging/

4.1.2

~~~~~~~~~~~~~~
- Added 2023 holidays to BSE calendar

• PyPI: https://pypi.org/project/pandas-market-calendars
• Changelog: https://pyup.io/changelogs/pandas-market-calendars/
• Repo: https://github.com/rsheftel/pandas_market_calendars

0.10.3

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

New features:

- Added utility function `pathspec.util.append_dir_sep()` to aid in distinguishing between directories and files on the file-system. See `Issue 65`_.

Bug fixes:

- `Issue 66`_/`Pull 67`_: Package not marked as py.typed.
- `Issue 68`_: Exports are considered private.
- `Issue 70`_/`Pull 71`_: 'Self' string literal type is Unknown in pyright.

Improvements:

- `Issue 65`_: Checking directories via match_file() does not wo

• 9e9e840 2022.12.07
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