Scheduled biweekly dependency update for week 34

[pyup-bot]

Update clr-loader from 0.2.5 to 0.2.6.

Changelog

0.2.6

What's Changed
* fix mono set dirs by koubaa in https://github.com/pythonnet/clr-loader/pull/48
* Fix handling of non-ASCII assembly paths on .NET Framework by filmor in https://github.com/pythonnet/clr-loader/pull/62
* Delay actually loading the runtime to fix property setting by filmor in https://github.com/pythonnet/clr-loader/pull/63
* .NET Framework domains by filmor in https://github.com/pythonnet/clr-loader/pull/42


**Full Changelog**: https://github.com/pythonnet/clr-loader/compare/v0.2.5...v0.2.6

Links

• PyPI: https://pypi.org/project/clr-loader
• Changelog: https://pyup.io/changelogs/clr-loader/

Update numpy from 1.24.2 to 1.25.2.

Changelog

1.25.2

discovered after the 1.25.1 release. This is the last planned release in
the 1.25.x series, the next release will be 1.26.0, which will use the
meson build system and support Python 3.12. The Python versions
supported by this release are 3.9-3.11.

Contributors

A total of 13 people contributed to this release. People with a \"+\" by
their names contributed a patch for the first time.

-   Aaron Meurer
-   Andrew Nelson
-   Charles Harris
-   Kevin Sheppard
-   Matti Picus
-   Nathan Goldbaum
-   Peter Hawkins
-   Ralf Gommers
-   Randy Eckenrode +
-   Sam James +
-   Sebastian Berg
-   Tyler Reddy
-   dependabot\[bot\]

Pull requests merged

A total of 19 pull requests were merged for this release.

-   [24148](https://github.com/numpy/numpy/pull/24148): MAINT: prepare 1.25.x for further development
-   [24174](https://github.com/numpy/numpy/pull/24174): ENH: Improve clang-cl compliance
-   [24179](https://github.com/numpy/numpy/pull/24179): MAINT: Upgrade various build dependencies.
-   [24182](https://github.com/numpy/numpy/pull/24182): BLD: use `-ftrapping-math` with Clang on macOS
-   [24183](https://github.com/numpy/numpy/pull/24183): BUG: properly handle negative indexes in ufunc_at fast path
-   [24184](https://github.com/numpy/numpy/pull/24184): BUG: PyObject_IsTrue and PyObject_Not error handling in setflags
-   [24185](https://github.com/numpy/numpy/pull/24185): BUG: histogram small range robust
-   [24186](https://github.com/numpy/numpy/pull/24186): MAINT: Update meson.build files from main branch
-   [24234](https://github.com/numpy/numpy/pull/24234): MAINT: exclude min, max and round from `np.__all__`
-   [24241](https://github.com/numpy/numpy/pull/24241): MAINT: Dependabot updates
-   [24242](https://github.com/numpy/numpy/pull/24242): BUG: Fix the signature for np.array_api.take
-   [24243](https://github.com/numpy/numpy/pull/24243): BLD: update OpenBLAS to an intermeidate commit
-   [24244](https://github.com/numpy/numpy/pull/24244): BUG: Fix reference count leak in str(scalar).
-   [24245](https://github.com/numpy/numpy/pull/24245): BUG: fix invalid function pointer conversion error
-   [24255](https://github.com/numpy/numpy/pull/24255): BUG: Factor out slow `getenv` call used for memory policy warning
-   [24292](https://github.com/numpy/numpy/pull/24292): CI: correct URL in cirrus.star
-   [24293](https://github.com/numpy/numpy/pull/24293): BUG: Fix C types in scalartypes
-   [24294](https://github.com/numpy/numpy/pull/24294): BUG: do not modify the input to ufunc_at
-   [24295](https://github.com/numpy/numpy/pull/24295): BUG: Further fixes to indexing loop and added tests

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1.25.1

discovered after the 1.25.0 release. The Python versions supported by
this release are 3.9-3.11.

Contributors

A total of 10 people contributed to this release. People with a \"+\" by
their names contributed a patch for the first time.

-   Andrew Nelson
-   Charles Harris
-   Developer-Ecosystem-Engineering
-   Hood Chatham
-   Nathan Goldbaum
-   Rohit Goswami
-   Sebastian Berg
-   Tim Paine +
-   dependabot\[bot\]
-   matoro +

Pull requests merged

A total of 14 pull requests were merged for this release.

-   [23968](https://github.com/numpy/numpy/pull/23968): MAINT: prepare 1.25.x for further development
-   [24036](https://github.com/numpy/numpy/pull/24036): BLD: Port long double identification to C for meson
-   [24037](https://github.com/numpy/numpy/pull/24037): BUG: Fix reduction `return NULL` to be `goto fail`
-   [24038](https://github.com/numpy/numpy/pull/24038): BUG: Avoid undefined behavior in array.astype()
-   [24039](https://github.com/numpy/numpy/pull/24039): BUG: Ensure `__array_ufunc__` works without any kwargs passed
-   [24117](https://github.com/numpy/numpy/pull/24117): MAINT: Pin urllib3 to avoid anaconda-client bug.
-   [24118](https://github.com/numpy/numpy/pull/24118): TST: Pin pydantic\<2 in Pyodide workflow
-   [24119](https://github.com/numpy/numpy/pull/24119): MAINT: Bump pypa/cibuildwheel from 2.13.0 to 2.13.1
-   [24120](https://github.com/numpy/numpy/pull/24120): MAINT: Bump actions/checkout from 3.5.2 to 3.5.3
-   [24122](https://github.com/numpy/numpy/pull/24122): BUG: Multiply or Divides using SIMD without a full vector can\...
-   [24127](https://github.com/numpy/numpy/pull/24127): MAINT: testing for IS_MUSL closes #24074
-   [24128](https://github.com/numpy/numpy/pull/24128): BUG: Only replace dtype temporarily if dimensions changed
-   [24129](https://github.com/numpy/numpy/pull/24129): MAINT: Bump actions/setup-node from 3.6.0 to 3.7.0
-   [24134](https://github.com/numpy/numpy/pull/24134): BUG: Fix private procedures in f2py modules

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 9a3a9f3a61480cc086117b426a8bd86869c213fc4072e606f01c4e4b66eb92bf  numpy-1.25.1.tar.gz

1.25.0

The NumPy 1.25.0 release continues the ongoing work to improve the
handling and promotion of dtypes, increase the execution speed, and
clarify the documentation. There has also been work to prepare for the
future NumPy 2.0.0 release, resulting in a large number of new and
expired deprecation. Highlights are:

-   Support for MUSL, there are now MUSL wheels.
-   Support the Fujitsu C/C++ compiler.
-   Object arrays are now supported in einsum
-   Support for inplace matrix multiplication (`=`).

We will be releasing a NumPy 1.26 when Python 3.12 comes out. That is
needed because distutils has been dropped by Python 3.12 and we will be
switching to using meson for future builds. The next mainline release
will be NumPy 2.0.0. We plan that the 2.0 series will still support
downstream projects built against earlier versions of NumPy.

The Python versions supported in this release are 3.9-3.11.

Deprecations

-   `np.core.MachAr` is deprecated. It is private API. In names defined
 in `np.core` should generally be considered private.

 ([gh-22638](https://github.com/numpy/numpy/pull/22638))

-   `np.finfo(None)` is deprecated.

 ([gh-23011](https://github.com/numpy/numpy/pull/23011))

-   `np.round_` is deprecated. Use `np.round` instead.

 ([gh-23302](https://github.com/numpy/numpy/pull/23302))

-   `np.product` is deprecated. Use `np.prod` instead.

 ([gh-23314](https://github.com/numpy/numpy/pull/23314))

-   `np.cumproduct` is deprecated. Use `np.cumprod` instead.

 ([gh-23314](https://github.com/numpy/numpy/pull/23314))

-   `np.sometrue` is deprecated. Use `np.any` instead.

 ([gh-23314](https://github.com/numpy/numpy/pull/23314))

-   `np.alltrue` is deprecated. Use `np.all` instead.

 ([gh-23314](https://github.com/numpy/numpy/pull/23314))

-   Only ndim-0 arrays are treated as scalars. NumPy used to treat all
 arrays of size 1 (e.g., `np.array([3.14])`) as scalars. In the
 future, this will be limited to arrays of ndim 0 (e.g.,
 `np.array(3.14)`). The following expressions will report a
 deprecation warning:

  python
 a = np.array([3.14])
 float(a)   better: a[0] to get the numpy.float or a.item()

 b = np.array([[3.14]])
 c = numpy.random.rand(10)
 c[0] = b   better: c[0] = b[0, 0]
 

 ([gh-10615](https://github.com/numpy/numpy/pull/10615))

-   `numpy.find_common_type` is now deprecated and its use
 should be replaced with either `numpy.result_type` or
 `numpy.promote_types`. Most users leave the second
 `scalar_types` argument to `find_common_type` as `[]` in which case
 `np.result_type` and `np.promote_types` are both faster and more
 robust. When not using `scalar_types` the main difference is that
 the replacement intentionally converts non-native byte-order to
 native byte order. Further, `find_common_type` returns `object`
 dtype rather than failing promotion. This leads to differences when
 the inputs are not all numeric. Importantly, this also happens for
 e.g. timedelta/datetime for which NumPy promotion rules are
 currently sometimes surprising.

 When the `scalar_types` argument is not `[]` things are more
 complicated. In most cases, using `np.result_type` and passing the
 Python values `0`, `0.0`, or `0j` has the same result as using
 `int`, `float`, or `complex` in `scalar_types`.

 When `scalar_types` is constructed, `np.result_type` is the correct
 replacement and it may be passed scalar values like
 `np.float32(0.0)`. Passing values other than 0, may lead to
 value-inspecting behavior (which `np.find_common_type` never used
 and NEP 50 may change in the future). The main possible change in
 behavior in this case, is when the array types are signed integers
 and scalar types are unsigned.

 If you are unsure about how to replace a use of `scalar_types` or
 when non-numeric dtypes are likely, please do not hesitate to open a
 NumPy issue to ask for help.

 ([gh-22539](https://github.com/numpy/numpy/pull/22539))

Expired deprecations

-   `np.core.machar` and `np.finfo.machar` have been removed.

 ([gh-22638](https://github.com/numpy/numpy/pull/22638))

-   `+arr` will now raise an error when the dtype is not numeric (and
 positive is undefined).

 ([gh-22998](https://github.com/numpy/numpy/pull/22998))

-   A sequence must now be passed into the stacking family of functions
 (`stack`, `vstack`, `hstack`, `dstack` and `column_stack`).

 ([gh-23019](https://github.com/numpy/numpy/pull/23019))

-   `np.clip` now defaults to same-kind casting. Falling back to unsafe
 casting was deprecated in NumPy 1.17.

 ([gh-23403](https://github.com/numpy/numpy/pull/23403))

-   `np.clip` will now propagate `np.nan` values passed as `min` or
 `max`. Previously, a scalar NaN was usually ignored. This was
 deprecated in NumPy 1.17.

 ([gh-23403](https://github.com/numpy/numpy/pull/23403))

-   The `np.dual` submodule has been removed.

 ([gh-23480](https://github.com/numpy/numpy/pull/23480))

-   NumPy now always ignores sequence behavior for an array-like
 (defining one of the array protocols). (Deprecation started NumPy
 1.20)

 ([gh-23660](https://github.com/numpy/numpy/pull/23660))

-   The niche `FutureWarning` when casting to a subarray dtype in
 `astype` or the array creation functions such as `asarray` is now
 finalized. The behavior is now always the same as if the subarray
 dtype was wrapped into a single field (which was the workaround,
 previously). (FutureWarning since NumPy 1.20)

 ([gh-23666](https://github.com/numpy/numpy/pull/23666))

-   `==` and `!=` warnings have been finalized. The `==` and `!=`
 operators on arrays now always:

 -   raise errors that occur during comparisons such as when the
     arrays have incompatible shapes
     (`np.array([1, 2]) == np.array([1, 2, 3])`).

 -   return an array of all `True` or all `False` when values are
     fundamentally not comparable (e.g. have different dtypes). An
     example is `np.array(["a"]) == np.array([1])`.

     This mimics the Python behavior of returning `False` and `True`
     when comparing incompatible types like `"a" == 1` and
     `"a" != 1`. For a long time these gave `DeprecationWarning` or
     `FutureWarning`.

 ([gh-22707](https://github.com/numpy/numpy/pull/22707))

-   Nose support has been removed. NumPy switched to using pytest in
 2018 and nose has been unmaintained for many years. We have kept
 NumPy\'s nose support to avoid breaking downstream projects who
 might have been using it and not yet switched to pytest or some
 other testing framework. With the arrival of Python 3.12, unpatched
 nose will raise an error. It is time to move on.

 *Decorators removed*:

 -   raises
 -   slow
 -   setastest
 -   skipif
 -   knownfailif
 -   deprecated
 -   parametrize
 -   \_needs_refcount

 These are not to be confused with pytest versions with similar
 names, e.g., pytest.mark.slow, pytest.mark.skipif,
 pytest.mark.parametrize.

 *Functions removed*:

 -   Tester
 -   import_nose
 -   run_module_suite

 ([gh-23041](https://github.com/numpy/numpy/pull/23041))

-   The `numpy.testing.utils` shim has been removed. Importing from the
 `numpy.testing.utils` shim has been deprecated since 2019, the shim
 has now been removed. All imports should be made directly from
 `numpy.testing`.

 ([gh-23060](https://github.com/numpy/numpy/pull/23060))

-   The environment variable to disable dispatching has been removed.
 Support for the `NUMPY_EXPERIMENTAL_ARRAY_FUNCTION` environment
 variable has been removed. This variable disabled dispatching with
 `__array_function__`.

 ([gh-23376](https://github.com/numpy/numpy/pull/23376))

-   Support for `y=` as an alias of `out=` has been removed. The `fix`,
 `isposinf` and `isneginf` functions allowed using `y=` as a
 (deprecated) alias for `out=`. This is no longer supported.

 ([gh-23376](https://github.com/numpy/numpy/pull/23376))

Compatibility notes

-   The `busday_count` method now correctly handles cases where the
 `begindates` is later in time than the `enddates`. Previously, the
 `enddates` was included, even though the documentation states it is
 always excluded.

 ([gh-23229](https://github.com/numpy/numpy/pull/23229))

-   When comparing datetimes and timedelta using `np.equal` or
 `np.not_equal` numpy previously allowed the comparison with
 `casting="unsafe"`. This operation now fails. Forcing the output
 dtype using the `dtype` kwarg can make the operation succeed, but we
 do not recommend it.

 ([gh-22707](https://github.com/numpy/numpy/pull/22707))

-   When loading data from a file handle using `np.load`, if the handle
 is at the end of file, as can happen when reading multiple arrays by
 calling `np.load` repeatedly, numpy previously raised `ValueError`
 if `allow_pickle=False`, and `OSError` if `allow_pickle=True`. Now
 it raises `EOFError` instead, in both cases.

 ([gh-23105](https://github.com/numpy/numpy/pull/23105))

`np.pad` with `mode=wrap` pads with strict multiples of original data

Code based on earlier version of `pad` that uses `mode="wrap"` will
return different results when the padding size is larger than initial
array.

`np.pad` with `mode=wrap` now always fills the space with strict
multiples of original data even if the padding size is larger than the
initial array.

([gh-22575](https://github.com/numpy/numpy/pull/22575))

Cython `long_t` and `ulong_t` removed

`long_t` and `ulong_t` were aliases for `longlong_t` and `ulonglong_t`
and confusing (a remainder from of Python 2). This change may lead to
the errors:

 'long_t' is not a type identifier
 'ulong_t' is not a type identifier

We recommend use of bit-sized types such as `cnp.int64_t` or the use of
`cnp.intp_t` which is 32 bits on 32 bit systems and 64 bits on 64 bit
systems (this is most compatible with indexing). If C `long` is desired,
use plain `long` or `npy_long`. `cnp.int_t` is also `long` (NumPy\'s
default integer). However, `long` is 32 bit on 64 bit windows and we may
wish to adjust this even in NumPy. (Please do not hesitate to contact
NumPy developers if you are curious about this.)

([gh-22637](https://github.com/numpy/numpy/pull/22637))

Changed error message and type for bad `axes` argument to `ufunc`

The error message and type when a wrong `axes` value is passed to
`ufunc(..., axes=[...])` has changed. The message is now more
indicative of the problem, and if the value is mismatched an
`AxisError` will be raised. A `TypeError` will still be raised for
invalidinput types.

([gh-22675](https://github.com/numpy/numpy/pull/22675))

Array-likes that define `__array_ufunc__` can now override ufuncs if used as `where`

If the `where` keyword argument of a `numpy.ufunc`{.interpreted-text
role="class"} is a subclass of `numpy.ndarray`{.interpreted-text
role="class"} or is a duck type that defines
`numpy.class.__array_ufunc__`{.interpreted-text role="func"} it can
override the behavior of the ufunc using the same mechanism as the input
and output arguments. Note that for this to work properly, the
`where.__array_ufunc__` implementation will have to unwrap the `where`
argument to pass it into the default implementation of the `ufunc` or,
for `numpy.ndarray`{.interpreted-text role="class"} subclasses before
using `super().__array_ufunc__`.

([gh-23240](https://github.com/numpy/numpy/pull/23240))

Compiling against the NumPy C API is now backwards compatible by default

NumPy now defaults to exposing a backwards compatible subset of the
C-API. This makes the use of `oldest-supported-numpy` unnecessary.
Libraries can override the default minimal version to be compatible with
using:

 define NPY_TARGET_VERSION NPY_1_22_API_VERSION

before including NumPy or by passing the equivalent `-D` option to the
compiler. The NumPy 1.25 default is `NPY_1_19_API_VERSION`. Because the

1.24.4

discovered after the 1.24.3 release. It is the last planned
release in the 1.24.x cycle. The Python versions supported by
this release are 3.8-3.11.

Contributors

A total of 4 people contributed to this release. People with a \"+\" by
their names contributed a patch for the first time.

-   Bas van Beek
-   Charles Harris
-   Sebastian Berg
-   Hongyang Peng +

Pull requests merged

A total of 6 pull requests were merged for this release.

-   [23720](https://github.com/numpy/numpy/pull/23720): MAINT, BLD: Pin rtools to version 4.0 for Windows builds.
-   [23739](https://github.com/numpy/numpy/pull/23739): BUG: fix the method for checking local files for 1.24.x
-   [23760](https://github.com/numpy/numpy/pull/23760): MAINT: Copy rtools installation from install-rtools.
-   [23761](https://github.com/numpy/numpy/pull/23761): BUG: Fix masked array ravel order for A (and somewhat K)
-   [23890](https://github.com/numpy/numpy/pull/23890): TYP,DOC: Annotate and document the `metadata` parameter of\...
-   [23994](https://github.com/numpy/numpy/pull/23994): MAINT: Update rtools installation

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1.24.3

discovered after the 1.24.2 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.

-   Aleksei Nikiforov +
-   Alexander Heger
-   Bas van Beek
-   Bob Eldering
-   Brock Mendel
-   Charles Harris
-   Kyle Sunden
-   Peter Hawkins
-   Rohit Goswami
-   Sebastian Berg
-   Warren Weckesser
-   dependabot\[bot\]

Pull requests merged

A total of 17 pull requests were merged for this release.

-   [23206](https://github.com/numpy/numpy/pull/23206): BUG: fix for f2py string scalars (#23194)
-   [23207](https://github.com/numpy/numpy/pull/23207): BUG: datetime64/timedelta64 comparisons return NotImplemented
-   [23208](https://github.com/numpy/numpy/pull/23208): MAINT: Pin matplotlib to version 3.6.3 for refguide checks
-   [23221](https://github.com/numpy/numpy/pull/23221): DOC: Fix matplotlib error in documentation
-   [23226](https://github.com/numpy/numpy/pull/23226): CI: Ensure submodules are initialized in gitpod.
-   [23341](https://github.com/numpy/numpy/pull/23341): TYP: Replace duplicate reduce in ufunc type signature with reduceat.
-   [23342](https://github.com/numpy/numpy/pull/23342): TYP: Remove duplicate CLIP/WRAP/RAISE in `__init__.pyi`.
-   [23343](https://github.com/numpy/numpy/pull/23343): TYP: Mark `d` argument to fftfreq and rfftfreq as optional\...
-   [23344](https://github.com/numpy/numpy/pull/23344): TYP: Add type annotations for comparison operators to MaskedArray.
-   [23345](https://github.com/numpy/numpy/pull/23345): TYP: Remove some stray type-check-only imports of `msort`
-   [23370](https://github.com/numpy/numpy/pull/23370): BUG: Ensure like is only stripped for `like=` dispatched functions
-   [23543](https://github.com/numpy/numpy/pull/23543): BUG: fix loading and storing big arrays on s390x
-   [23544](https://github.com/numpy/numpy/pull/23544): MAINT: Bump larsoner/circleci-artifacts-redirector-action
-   [23634](https://github.com/numpy/numpy/pull/23634): BUG: Ignore invalid and overflow warnings in masked setitem
-   [23635](https://github.com/numpy/numpy/pull/23635): BUG: Fix masked array raveling when `order="A"` or `order="K"`
-   [23636](https://github.com/numpy/numpy/pull/23636): MAINT: Update conftest for newer hypothesis versions
-   [23637](https://github.com/numpy/numpy/pull/23637): BUG: Fix bug in parsing F77 style string arrays.

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Links

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

Update pandas from 1.5.3 to 2.0.3.

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

Links

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

Update pytz from 2022.7.1 to 2023.3.

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

Links

• PyPI: https://pypi.org/project/pytz
• Homepage: http://pythonhosted.org/pytz
• Docs: https://pythonhosted.org/pytz/

Update wrapt from 1.15.0rc1 to 1.15.0.

Changelog

1.15.0

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

**Bugs Fixed**

* When the C extension for wrapt was being used, and a property was used on an
object proxy wrapping another object to intercept access to an attribute of
the same name on the wrapped object, if the function implementing the property
raised an exception, then the exception was ignored and not propagated back to
the caller. What happened instead was that the original value of the attribute
from the wrapped object was returned, thus silently suppressing that an
exception had occurred in the wrapper. This behaviour was not happening when
the pure Python version of wrapt was being used, with it raising the
exception. The pure Python and C extension implementations thus did not behave
the same.

Note that in the specific case that the exception raised is AttributeError it
still wouldn't be raised. This is the case for both Python and C extension
implementations. If a wrapper for an attribute internally raises an
AttributeError for some reason, the wrapper should if necessary catch the
exception and deal with it, or propagate it as a different exception type if
it is important that an exception still be passed back.

* Address issue where the post import hook mechanism of wrapt wasn't transparent
and left the ``__loader__`` and ``__spec__.loader`` attributes of a module as
the wrapt import hook loader and not the original loader. That the original
loader wasn't preserved could interfere with code which needed access to the
original loader.

* Address issues where a thread deadlock could occur within the wrapt module
import handler, when code executed from a post import hook created a new
thread and code executed in the context of the new thread itself tried to
register a post import hook, or imported a new module.

* When using ``CallableObjectProxy`` as a wrapper for a type or function and
calling the wrapped object, it was not possible to pass a keyword argument
named ``self``. This only occurred when using the pure Python version of wrapt
and did not occur when using the C extension based implementation.

* When using ``PartialCallableObjectProxy`` as a wrapper for a type or function,
when constructing the partial object and when calling the partial object, it
was not possible to pass a keyword argument named ``self``. This only occurred
when using the pure Python version of wrapt and did not occur when using the C
extension based implementation.

* When using ``FunctionWrapper`` as a wrapper for a type or function and calling
the wrapped object, it was not possible to pass a keyword argument named
``self``. Because ``FunctionWrapper`` is also used by decorators, this also
affected decorators on functions and class types. A similar issue also arose
when these were applied to class and instance methods where binding occurred
when the method was accessed. In that case it was in ``BoundFunctionWrapper``
that the problem could arise. These all only occurred when using the pure
Python version of wrapt and did not occur when using the C extension based
implementation.

* When using ``WeakFunctionProxy`` as a wrapper for a function, when calling the
function via the proxy object, it was not possible to pass a keyword argument
named ``self``.

Links

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

Update astroid from 2.11.7 to 2.15.6.

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Links

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

Update attrs from 22.2.0 to 23.1.0.

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

Links

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

Update babel from 2.11.0 to 2.12.1.

Changelog

2.12.1

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

Fixes
~~~~~

* Version 2.12.0 was missing the ``py.typed`` marker file. Thanks to Alex Waygood for the fix! :gh:`975`
* The copyright year in all files was bumped to 2023.

2.12.0

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

Deprecations & breaking changes
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

* Python 3.6 is no longer supported (:gh:`919`) - Aarni Koskela
* The `get_next_timezone_transition` function is no more (:gh:`958`) - Aarni Koskela

New features
~~~~~~~~~~~~

* CLDR: Babel now uses CLDR 42 (:gh:`951`) - Aarni Koskela
* Dates: `pytz` is now optional; Babel will prefer it but will use `zoneinfo` when available. (:gh:`940`) - ds-cbo
* General: Babel now ships type annotations, thanks to Jonah Lawrence's work in multiple PRs.
* Locales: modifiers are now retained when parsing locales (:gh:`947`) - martin f. krafft
* Messages: JavaScript template string expression extraction is now smarter. (:gh:`939`) - Johannes Wilm
* Numbers: NaN and Infinity are now better supported (:gh:`955`) - Jonah Lawrence
* Numbers: Short compact currency formats are now supported (:gh:`926`) - Jonah Lawrence
* Numbers: There's now a `Format.compact_decimal` utility function. (:gh:`921`) - Jonah Lawrence

Bugfixes
~~~~~~~~

* Dates: The cache for parsed datetime patterns is now bounded (:gh:`967`) - Aarni Koskela
* Messages: Fuzzy candidate matching accuracy is improved (:gh:`970`) - Jean Abou Samra
* Numbers: Compact singular formats and patterns with no numbers work correctly (:gh:`930`, :gh:`932`) - Jonah Lawrence, Jun Omae

Improvements & cleanup
~~~~~~~~~~~~~~~~~~~~~~

* Dates: `babel.dates.UTC` is now an alias for `datetime.timezone.utc` (:gh:`957`) - Aarni Koskela
* Dates: `babel.localtime` was slightly cleaned up. (:gh:`952`) - Aarni Koskela
* Documentation: Documentation was improved by Maciej Olko, Jonah Lawrence, lilinjie, and Aarni Koskela.
* Infrastructure: Babel is now being linted with pre-commit and ruff. - Aarni Koskela

Links

• PyPI: https://pypi.org/project/babel
• Changelog: https://pyup.io/changelogs/babel/
• Homepage: https://babel.pocoo.org/
• Docs: https://pythonhosted.org/Babel/

Update black from 23.1.0 to 23.7.0.

Changelog

23.7.0

Highlights

- Runtime support for Python 3.7 has been removed. Formatting 3.7 code will still be
supported until further notice (3765)

Stable style

- Fix a bug where an illegal trailing comma was added to return type annotations using
PEP 604 unions (3735)
- Fix several bugs and crashes where comments in stub files were removed or mishandled
under some circumstances (3745)
- Fix a crash with multi-line magic comments like `type: ignore` within parentheses
(3740)
- Fix error in AST validation when _Black_ removes trailing whitespace in a type comment
(3773)

Preview style

- Implicitly concatenated strings used as function args are no longer wrapped inside
parentheses (3640)
- Remove blank lines between a class definition and its docstring (3692)

Configuration

- The `--workers` argument to _Black_ can now be specified via the `BLACK_NUM_WORKERS`
environment variable (3743)
- `.pytest_cache`, `.ruff_cache` and `.vscode` are now excluded by default (3691)
- Fix _Black_ not honouring `pyproject.toml` settings when running `--stdin-filename`
and the `pyproject.toml` found isn't in the current working directory (3719)
- _Black_ will now error if `exclude` and `extend-exclude` have invalid data types in
`pyproject.toml`, instead of silently doing the wrong thing (3764)

Packaging

- Upgrade mypyc from 0.991 to 1.3 (3697)
- Remove patching of Click that mitigated errors on Python 3.6 with `LANG=C` (3768)

Parser

- Add support for the new PEP 695 syntax in Python 3.12 (3703)

Performance

- Speed up _Black_ significantly when the cache is full (3751)
- Avoid importing `IPython` in a case where we wouldn't need it (3748)

Output

- Use aware UTC datetimes internally, avoids deprecation warning on Python 3.12 (3728)
- Change verbose logging to exactly mirror _Black_'s logic for source discovery (3749)

_Blackd_

- The `blackd` argument parser now shows the default values for options in their help
text (3712)

Integrations

- Black is now tested with
[`PYTHONWARNDEFAULTENCODING = 1`](https://docs.python.org/3/library/io.html#io-encoding-warning)
(3763)
- Update GitHub Action to display black output in the job summary (3688)

Documentation

- Add a CITATION.cff file to the root of the repository, containing metadata on how to
cite this software (3723)
- Update the _classes_ and _exceptions_ documentation in Developer reference to match
the latest code base (3755)

23.3.0

Highlights

This release fixes a longstanding confusing behavior in Black's GitHub action, where the
version of the action did not determine the version of Black being run (issue 3382). In
addition, there is a small bug fix around imports and a number of improvements to the
preview style.

Please try out the
[preview style](https://black.readthedocs.io/en/stable/the_black_code_style/future_style.html#preview-style)
with `black --preview` and tell us your feedback. All changes in the preview style are
expected to become part of Black's stable style in January 2024.

Stable style

- Import lines with ` fmt: skip` and ` fmt: off` no longer have an extra blank line
added when they are right after another import line (3610)

Preview style

- Add trailing commas to collection literals even if there's a comment after the last
entry (3393)
- `async def`, `async for`, and `async with` statements are now formatted consistently
compared to their non-async version. (3609)
- `with` statements that contain two context managers will be consistently wrapped in
parentheses (3589)
- Let string splitters respect [East Asian Width](https://www.unicode.org/reports/tr11/)
(3445)
- Now long string literals can be split after East Asian commas and periods (`、` U+3001
IDEOGRAPHIC COMMA, `。` U+3002 IDEOGRAPHIC FULL STOP, & `，` U+FF0C FULLWIDTH COMMA)
besides before spaces (3445)
- For stubs, enforce one blank line after a nested class with a body other than just
`...` (3564)
- Improve handling of multiline strings by changing line split behavior (1879)

Parser

- Added support for formatting files with invalid type comments (3594)

Integrations

- Update GitHub Action to use the version of Black equivalent to action's version if
version input is not specified (3543)
- Fix missing Python binary path in autoload script for vim (3508)

Documentation

- Document that only the most recent release is supported for security issues;
vulnerabilities should be reported through Tidelift (3612)

Links

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

Update certifi from 2022.12.7 to 2023.7.22.

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

Links

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

Update charset-normalizer from 3.0.1 to 3.2.0.

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

Links

• PyPI: https://pypi.org/project/charset-normalizer
• Repo: https://github.com/Ousret/charset_normalizer

Update click from 8.1.3 to 8.1.7.

Changelog

8.1.7

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

Released 2023-08-17

-   Fix issue with regex flags in shell completion. :issue:`2581`
-   Bash version detection issues a warning instead of an error. :issue:`2574`
-   Fix issue with completion script for Fish shell. :issue:`2567`

8.1.6

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

Released 2023-07-18

-   Fix an issue with type hints for ``click.group()``. :issue:`2558`

8.1.5

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

Released 2023-07-13

-   Fix an issue with type hints for ``click.command()``, ``click.option()``, and
 other decorators. Introduce typing tests. :issue:`2558`

8.1.4

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

Released 2023-07-06

-   Replace all ``typing.Dict`` occurrences to ``typing.MutableMapping`` for
 parameter hints. :issue:`2255`
-   Improve type hinting for decorators and give all generic types parameters.
 :issue:`2398`
-   Fix return value and type signature of `shell_completion.add_completion_class`
 function. :pr:`2421`
-   Bash version detection doesn't fail on Windows. :issue:`2461`
-   Completion works if there is a dot (``.``) in the program name. :issue:`2166`
-   Improve type annotations for pyright type checker. :issue:`2268`
-   Improve responsiveness of ``click.clear()``. :issue:`2284`
-   Improve command name detection when using Shiv or PEX. :issue:`2332`
-   Avoid showing empty lines if command help text is empty. :issue:`2368`
-   ZSH completion script works when loaded from ``fpath``. :issue:`2344`.
-   ``EOFError`` and ``KeyboardInterrupt`` tracebacks are not suppressed when
 ``standalone_mode`` is disabled. :issue:`2380`
-   ``group.command`` does not fail if the group was created with a custom
 ``command_class``. :issue:`2416`
-   ``multiple=True`` is allowed for flag options again and does not require
 setting ``default=()``. :issue:`2246, 2292, 2295`
-   Make the decorators returned by ``argument()`` and ``option()`` reusable when the
 ``cls`` parameter is used. :issue:`2294`
-   Don't fail when writing filenames to streams with strict errors. Replace invalid
 bytes with the replacement character (``�``). :issue:`2395`
-   Remove unnecessary attempt to detect MSYS2 environment. :issue:`2355`
-   Remove outdated and unnecessary detection of App Engine environment. :pr:`2554`
-   ``echo()`` does not fail when no streams are attached, such as with ``pythonw`` on
 Windows. :issue:`2415`
-   Argument with ``expose_value=False`` do not cause completion to fail. :issue:`2336`

Links

• PyPI: https://pypi.org/project/click
• Changelog: https://pyup.io/changelogs/click/
• Homepage: https://palletsprojects.com/p/click/

Update codecov from 2.1.12 to 2.1.13.

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

Links

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

Update coverage from 7.1.0 to 7.3.0.

Changelog

7.3.0

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

- Added a :meth:`.Coverage.collect` context manager to start and stop coverage
data collection.

- Dropped support for Python 3.7.

- Fix: in unusual circumstances, SQLite cannot be set to asynchronous mode.
Coverage.py would fail with the error ``Safety level may not be changed
inside a transaction.`` This is now avoided, closing `issue 1646`_.  Thanks
to Michael Bell for the detailed bug report.

- Docs: examples of configuration files now include separate examples for the
different syntaxes: .coveragerc, pyproject.toml, setup.cfg, and tox.ini.

- Fix: added ``nosemgrep`` comments to our JavaScript code so that
semgrep-based SAST security checks won't raise false alarms about security
problems that aren't problems.

- Added a CITATION.cff file, thanks to `Ken Schackart <pull 1641_>`_.

.. _pull 1641: https://github.com/nedbat/coveragepy/pull/1641
.. _issue 1646: https://github.com/nedbat/coveragepy/issues/1646


.. _changes_7-2-7:

7.2.7

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

- Fix: reverted a `change from 6.4.3 <pull 1347_>`_ that helped Cython, but
also increased the size of data files when using dynamic contexts, as
described in the now-fixed `issue 1586`_. The problem is now avoided due to a
recent change (`issue 1538`_).  Thanks to `Anders Kaseorg <pull 1629_>`_
and David Szotten for persisting with problem reports and detailed diagnoses.

- Wheels are now provided for CPython 3.12.

.. _issue 1586: https://github.com/nedbat/coveragepy/issues/1586
.. _pull 1629: https://github.com/nedbat/coveragepy/pull/1629


.. _changes_7-2-6:

7.2.6

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

- Fix: the ``lcov`` command could raise an IndexError exception if a file is
translated to Python but then executed under its own name.  Jinja2 does this
when rendering templates.  Fixes `issue 1553`_.

- Python 3.12 beta 1 now inlines comprehensions.  Previously they were compiled
as invisible functions and coverage.py would warn you if they weren't
completely executed.  This no longer happens under Python 3.12.

- Fix: the ``coverage debug sys`` command includes some environment variables
in its output.  This could have included sensitive data.  Those values are
now hidden with asterisks, closing `issue 1628`_.

.. _issue 1553: https://github.com/nedbat/coveragepy/issues/1553
.. _issue 1628: https://github.com/nedbat/coveragepy/issues/1628


.. _changes_7-2-5:

7.2.5

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

- Fix: ``html_report()`` could fail with an AttributeError on ``isatty`` if run
in an unusual environment where sys.stdout had been replaced.  This is now
fixed.


.. _changes_7-2-4:

7.2.4

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

PyCon 2023 sprint fixes!

- Fix: with ``relative_files = true``, specifying a specific file to include or
omit wouldn't work correctly (`issue 1604`_).  This is now fixed, with
testing help by `Marc Gibbons <pull 1608_>`_.

- Fix: the XML report would have an incorrect ``<source>`` element when using
relative files and the source option ended with a slash (`issue 1541`_).
This is now fixed, thanks to `Kevin Brown-Silva <pull 1608_>`_.

- When the HTML report location is printed to the terminal, it's now a
terminal-compatible URL, so that you can click the location to open the HTML
file in your browser.  Finishes `issue 1523`_ thanks to `Ricardo Newbery
<pull 1613_>`_.

- Docs: a new :ref:`Migrating page <migrating>` with details about how to
migrate between major versions of coverage.py.  It currently covers the
wildcard changes in 7.x.  Thanks, `Brian Grohe <pull 1610_>`_.

.. _issue 1523: https://github.com/nedbat/coveragepy/issues/1523
.. _issue 1541: https://github.com/nedbat/coveragepy/issues/1541
.. _issue 1604: https://github.com/nedbat/coveragepy/issues/1604
.. _pull 1608: https://github.com/nedbat/coveragepy/pull/1608
.. _pull 1609: https://github.com/nedbat/coveragepy/pull/1609
.. _pull 1610: https://github.com/nedbat/coveragepy/pull/1610
.. _pull 1613: https://github.com/nedbat/coveragepy/pull/1613


.. _changes_7-2-3:

7.2.3

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

- Fix: the :ref:`config_run_sigterm` setting was meant to capture data if a
process was terminated with a SIGTERM signal, but it didn't always.  This was
fixed thanks to `Lewis Gaul <pull 1600_>`_, closing `issue 1599`_.

- Performance: HTML reports with context information are now much more compact.
File sizes are typically as small as one-third the previous size, but ca

[pyup-bot]

Closing this in favor of #718