Scheduled weekly dependency update for week 50

[pyup-bot]

Update anyio from 4.6.2.post1 to 4.7.0.

Changelog

4.7.0

-   Updated `TaskGroup` to work with asyncio's eager task factories ([\764](https://github.com/agronholm/anyio/issues/764))
-   Added the `wait_readable()` and `wait_writable()` functions which will accept an object with a `.fileno()` method or an integer handle, and deprecated their now obsolete versions (`wait_socket_readable()` and `wait_socket_writable()`) (PR by davidbrochart)
-   Changed `EventAdapter` (an `Event` with no bound async backend) to allow `set()` to work even before an async backend is bound to it ([\819](https://github.com/agronholm/anyio/issues/819))
-   Added support for `wait_readable()` and `wait_writable()` on `ProactorEventLoop` (used on asyncio + Windows by default)
-   Fixed a misleading `ValueError` in the context of DNS failures ([\815](https://github.com/agronholm/anyio/issues/815); PR by graingert)
-   Fixed the return type annotations of `readinto()` and `readinto1()` methods in the `anyio.AsyncFile` class ([\825](https://github.com/agronholm/anyio/issues/825))
-   Fixed `TaskInfo.has_pending_cancellation()` on asyncio returning false positives in cleanup code on Python \>= 3.11 ([\832](https://github.com/agronholm/anyio/issues/832); PR by gschaffner)
-   Fixed cancelled cancel scopes on asyncio calling `asyncio.Task.uncancel` when propagating a `CancelledError` on exit to a cancelled parent scope ([\790](https://github.com/agronholm/anyio/pull/790); PR by gschaffner)

Links

• PyPI: https://pypi.org/project/anyio
• Changelog: https://data.safetycli.com/changelogs/anyio/

Update astroid from 3.3.5 to 3.3.6.

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

Links

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

Update astropy from 6.1.6 to 7.0.0.

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

Links

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

Update attrs from 24.2.0 to 24.3.0.

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

Links

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

Update bcrypt from 4.2.0 to 4.2.1.

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

Links

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

Update bokeh from 3.6.1 to 3.6.2.

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

Links

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

Update certifi from 2024.8.30 to 2024.12.14.

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 cryptography from 43.0.3 to 44.0.0.

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

Links

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

Update cytoolz from 1.0.0 to 1.0.1.

Changelog

1.0.1

- Add support for Python 3.13 by eriknw in 216

Links

• PyPI: https://pypi.org/project/cytoolz
• Changelog: https://data.safetycli.com/changelogs/cytoolz/
• Repo: https://github.com/pytoolz/cytoolz

Update dask from 2024.11.2 to 2024.12.0.

Changelog

2024.12.0

Changes

- Revert "Add LLM chatbot to Dask docs (11556)" dchudz (11577)
- Automatically rechunk if array in to\_zarr has irregular chunks phofl (11553)
- Blockwise uses `Task` class fjetter (11568)
- Migrate rechunk and reshape to task spec phofl (11555)
- Cache svg-representation for arrays dcherian (11560)
- Fix empty input for containers fjetter (11571)
- Convert `Bag` graphs to TaskSpec graphs during optimization fjetter (11569)
- add LLM chatbot to Dask docs dchudz (11556)
- Add support for Python 3.13 phofl (11456)
- Fuse data nodes in linear fusion too phofl (11549)
- Migrate slicing code to task spec phofl (11548)
- Speed up ArraySliceDep tokenization phofl (11551)
- Fix fusing of p2p barrier tasks phofl (11543)
- Remove infra/mentions of GPU CI charlesbluca (11546)
- Temporarily disable gpuCI update CI job jrbourbeau (11545)
- Use BlockwiseDep to implement map\_blocks keywords phofl (11542)
- Remove optimize\_slices phofl (11538)
- Make reshape\_blockwise a noop if shape is the same phofl (11541)
- Remove read-only flag from open\_arry in open\_zarr phofl (11539)
- Implement linear\_fusion for task spec class phofl (11525)
- Remove recursion from TaskSpec fjetter (11477)
- Fixup test after dask-expr change phofl (11536)
- Bump codecov/codecov-action from 3 to 5 dependabot (11532)
- Create dask-expr frame directly without roundtripping phofl (11529)
- Add ``scikit-image`` nightly back to upstream CI jrbourbeau (11530)
- Remove ``from\_dask\_dataframe`` import phofl (11528)
- Ensure that from\_array creates a copy phofl (11524)
- Simplify and improve performance of normalize chunks phofl (11521)
- Fix flaky nanquantile test phofl (11518)
- Fix tests for new ``read\_only`` kwarg in ``zarr=3`` phofl (11516)  

See the [Changelog](https://docs.dask.org/en/stable/changelog.html) for more information.

Links

• PyPI: https://pypi.org/project/dask
• Changelog: https://data.safetycli.com/changelogs/dask/

Update debugpy from 1.8.8 to 1.8.11.

Changelog

1.8.11

**Full Changelog**: https://github.com/microsoft/debugpy/compare/v1.8.9...v1.8.11

1.8.9

Fixes for:

- https://github.com/microsoft/debugpy/issues/1733

Links

• PyPI: https://pypi.org/project/debugpy
• Changelog: https://data.safetycli.com/changelogs/debugpy/
• Homepage: https://aka.ms/debugpy

Update distributed from 2024.11.2 to 2024.12.0.

Changelog

2024.12.0

Changes

- Fix `test_jupyter.py::test_shutsdown_cleanly` hendrikmakait (8954)
- Install ``tornado`` from ``conda-forge`` in Python 3.13 CI jrbourbeau (8951)
- Restore retire workers API fjetter (8939)
- Properly convert finalize dependencies to references hendrikmakait (8949)
- Add support for Python 3.13 phofl (8904)
- Block fusion for barrier tasks phofl (8944)
- Remove infra/mentions of GPU CI charlesbluca (8946)
- Temporarily disable gpuCI update CI job jrbourbeau (8945)
- Remove recursion in task spec fjetter (8920)
- Less verbose log messages for remove and register worker fjetter (8938)
- Do not log full worker info in retire\_workers fjetter (8935)  

See the [Changelog](https://docs.dask.org/en/stable/changelog.html) for more information.

Links

• PyPI: https://pypi.org/project/distributed
• Changelog: https://data.safetycli.com/changelogs/distributed/

Update Django from 5.1.3 to 5.1.4.

Changelog

5.1.4

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

*December 4, 2024*

Django 5.1.4 fixes one security issue with severity "high", one security issue
with severity "moderate", and several bugs in 5.1.3.

CVE-2024-53907: Denial-of-service possibility in ``strip_tags()``
=================================================================

:func:`~django.utils.html.strip_tags` would be extremely slow to evaluate
certain inputs containing large sequences of nested incomplete HTML entities.
The ``strip_tags()`` method is used to implement the corresponding
:tfilter:`striptags` template filter, which was thus also vulnerable.

``strip_tags()`` now has an upper limit of recursive calls to ``HTMLParser``
before raising a :exc:`.SuspiciousOperation` exception.

Remember that absolutely NO guarantee is provided about the results of
``strip_tags()`` being HTML safe. So NEVER mark safe the result of a
``strip_tags()`` call without escaping it first, for example with
:func:`django.utils.html.escape`.

CVE-2024-53908: Potential SQL injection via ``HasKey(lhs, rhs)`` on Oracle
==========================================================================

Direct usage of the ``django.db.models.fields.json.HasKey`` lookup on Oracle
was subject to SQL injection if untrusted data was used as a ``lhs`` value.

Applications that use the :lookup:`has_key <jsonfield.has_key>` lookup through
the ``__`` syntax are unaffected.

Bugfixes
========

* Fixed a crash in ``createsuperuser`` on Python 3.13+ caused by an unhandled
``OSError`` when the username could not be determined (:ticket:`35942`).

* Fixed a regression in Django 5.1 where relational fields were not updated
when calling ``Model.refresh_from_db()`` on instances with deferred fields
(:ticket:`35950`).


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

Links

• PyPI: https://pypi.org/project/django
• Changelog: https://data.safetycli.com/changelogs/django/

Update django-allauth from 65.2.0 to 65.3.0.

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

Links

• PyPI: https://pypi.org/project/django-allauth
• Homepage: https://allauth.org

Update elasticsearch from 8.16.0 to 8.17.0.

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

Links

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

Update elasticsearch-dsl from 8.16.0 to 8.17.0.

Changelog

8.17.0

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

* Added support for quantized dense vector options (`1948 <https://github.com/elastic/elasticsearch-dsl-py/pull/1948>`_)
* Added support for composable index templates (`1943 <https://github.com/elastic/elasticsearch-dsl-py/pull/1943>`_)

Links

• PyPI: https://pypi.org/project/elasticsearch-dsl
• Changelog: https://data.safetycli.com/changelogs/elasticsearch-dsl/
• Repo: https://github.com/elasticsearch/elasticsearch-dsl-py

Update fonttools from 4.55.0 to 4.55.3.

Changelog

4.55.3

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


- [Docs] fill out ttLib table section [3716]
- [feaLib] More efficient inline format 4 lookups [3726]

4.55.2

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

- [Docs] update Sphinx config (3712)
- [designspaceLib] Allow axisOrdering to be set to zero (3715)
- [feaLib] Don’t modify variable anchors in place (3717)

4.55.1

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

- [ttGlyphSet] Support VARC CFF2 fonts (3683)
- [DecomposedTransform] Document and implement always skewY == 0 (3697)
- [varLib] "Fix" cython iup issue? (3704)
- Cython minor refactor (3705)

Links

• PyPI: https://pypi.org/project/fonttools
• Changelog: https://data.safetycli.com/changelogs/fonttools/
• Repo: http://github.com/fonttools/fonttools

Update google-api-core from 2.23.0 to 2.24.0.

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

Links

• PyPI: https://pypi.org/project/google-api-core

Update google-api-python-client from 2.153.0 to 2.155.0.

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

Links

• PyPI: https://pypi.org/project/google-api-python-client
• Changelog: https://data.safetycli.com/changelogs/google-api-python-client/
• Repo: https://github.com/googleapis/google-api-python-client/

Update google-auth from 2.36.0 to 2.37.0.

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

Links

• PyPI: https://pypi.org/project/google-auth
• Changelog: https://data.safetycli.com/changelogs/google-auth/
• Repo: https://github.com/googleapis/google-auth-library-python

Update google-cloud-storage from 2.18.2 to 2.19.0.

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

Links

• PyPI: https://pypi.org/project/google-cloud-storage
• Repo: https://github.com/googleapis/python-storage

Update grpcio from 1.68.0 to 1.68.1.

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

Links

• PyPI: https://pypi.org/project/grpcio
• Homepage: https://grpc.io

Update grpcio-status from 1.68.0 to 1.68.1.

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

Links

• PyPI: https://pypi.org/project/grpcio-status
• Homepage: https://grpc.io

Update hiredis from 3.0.0 to 3.1.0.

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

Links

• PyPI: https://pypi.org/project/hiredis
• Repo: https://github.com/redis/hiredis-py

Update hstspreload from 2024.11.1 to 2024.12.1.

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

Links

• PyPI: https://pypi.org/project/hstspreload
• Repo: https://github.com/sethmlarson/hstspreload

Update httpx from 0.27.2 to 0.28.1.

Changelog

0.28.1

* Fix SSL case where `verify=False` together with client side certificates.

0.28.0

The 0.28 release includes a limited set of deprecations.

**Deprecations**:

We are working towards a simplified SSL configuration API.

*For users of the standard `verify=True` or `verify=False` cases, or `verify=<ssl_context>` case this should require no changes. The following cases have been deprecated...*

* The `verify` argument as a string argument is now deprecated and will raise warnings.
* The `cert` argument is now deprecated and will raise warnings.

Our revised [SSL documentation](docs/advanced/ssl.md) covers how to implement the same behaviour with a more constrained API.

**The following changes are also included**:

* The deprecated `proxies` argument has now been removed.
* The deprecated `app` argument has now been removed.
* JSON request bodies use a compact representation. (3363)
* Review URL percent escape sets, based on WHATWG spec. (3371, 3373)
* Ensure `certifi` and `httpcore` are only imported if required. (3377)
* Treat `socks5h` as a valid proxy scheme. (3178)
* Cleanup `Request()` method signature in line with `client.request()` and `httpx.request()`. (3378)
* Bugfix: When passing `params={}`, always strictly update rather than merge with an existing querystring. (3364)

Links

• PyPI: https://pypi.org/project/httpx
• Changelog: https://data.safetycli.com/changelogs/httpx/

Update imageio from 2.36.0 to 2.36.1.

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

Links

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

Update ipython from 8.29.0 to 8.30.0.

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

Links

• PyPI: https://pypi.org/project/ipython
• Changelog: https://data.safetycli.com/changelogs/ipython/

Update json5 from 0.9.28 to 0.10.0.

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

Links

• PyPI: https://pypi.org/project/json5

Update jupyterlab from 4.3.1 to 4.3.3.

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

Links

• PyPI: https://pypi.org/project/jupyterlab
• Changelog: https://data.safetycli.com/changelogs/jupyterlab/

Update markdown2 from 2.5.1 to 2.5.2.

Changelog

2.5.2

- [pull 605] Add support for Python 3.13, drop EOL 3.8
- [pull 607] Fix `middle-word-em` extra preventing strongs from being recognized (606)
- [pull 609] Add option to output to file in CLI (608)
- [pull 612] Fix footnote labels appearing out-of-order (536)
- [pull 613] Fix smarty pants extra not triggering when it should (611)

Links

• PyPI: https://pypi.org/project/markdown2
• Changelog: https://data.safetycli.com/changelogs/markdown2/
• Repo: https://github.com/trentm/python-markdown2

Update matplotlib from 3.9.2 to 3.10.0.

Changelog

3.10.0

Highlights of this release include:
 
 - Preliminary support for free-threaded CPython 3.13
 - Standard getters/setters for axis inversion state
 - New more-accessible color cycle
 - Dark-mode diverging colormaps
 - Exception handling control
 - InsetIndicator artist
 - FillBetweenPolyCollection
 - Fill between 3D lines
 - Data in 3D plots can now be dynamically clipped to the axes view limits
 - Rotating 3d plots with the mouse
 - Increased Figure limits with Agg renderer
 - Subfigures no longer provisional
 - Subfigures are now added in row-major order

3.10.0rc1

This is the first release candidate for Matplotlib 3.10.0

3.9.4

This is the fourth bugfix release of the 3.9.x series.

This release contains two bug-fixes:

- Fix toolbar icons in GTK backend
- Fix `Poly3DCollection` initialization with list of lists

3.9.3

This is the third bugfix release of the 3.9.x series.

This release contains several bug-fixes and adjustments:

- Fix `axline` with extremely small slopes
- Fix `axline` with non-linear axis scales
- Fix `minimumSizeHint` with Qt backend
- Fix config directory usage when it's behind a symlink
- Fix draggable legend when blitting is enabled
- Fix high CPU utilization in the `macosx` backend
- Fix multiple hatch `edgecolors` passed to `contourf`
- Improve compatibility with `pytest` 8.2.0

Links

• PyPI: https://pypi.org/project/matplotlib
• Changelog: https://data.safetycli.com/changelogs/matplotlib/

Update nbclient from 0.10.0 to 0.10.1.

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

Links

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

Update notebook from 7.2.2 to 7.3.1.

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

Links

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

Update numexpr from 2.10.1 to 2.10.2.

Changelog

Links

• PyPI: https://pypi.org/project/numexpr
• Changelog: https://data.safetycli.com/changelogs/numexpr/

Update numpy from 2.1.3 to 2.2.0.

Changelog

2.2.0

The NumPy 2.2.0 release is a quick release that brings us back into sync
with the usual twice yearly release cycle. There have been an number of
small cleanups, as well as work bringing the new StringDType to
completion and improving support for free threaded Python. Highlights
are:

-   New functions `matvec` and `vecmat`, see below.
-   Many improved annotations.
-   Improved support for the new StringDType.
-   Improved support for free threaded Python
-   Fixes for f2py

This release supports Python versions 3.10-3.13.

Deprecations

-   `_add_newdoc_ufunc` is now deprecated. `ufunc.__doc__ = newdoc`
 should be used instead.

 ([gh-27735](https://github.com/numpy/numpy/pull/27735))

Expired deprecations

-   `bool(np.array([]))` and other empty arrays will now raise an error.
 Use `arr.size > 0` instead to check whether an array has no
 elements.

 ([gh-27160](https://github.com/numpy/numpy/pull/27160))

Compatibility notes

-   `numpy.cov` now properly transposes single-row (2d array) design matrices
 when `rowvar=False`. Previously, single-row design matrices would return a
 scalar in this scenario, which is not correct, so this is a behavior change
 and an array of the appropriate shape will now be returned.

 ([gh-27661](https://github.com/numpy/numpy/pull/27661))

New Features

-   New functions for matrix-vector and vector-matrix products

 Two new generalized ufuncs were defined:

 -   `numpy.matvec` - matrix-vector product, treating the
     arguments as stacks of matrices and column vectors,
     respectively.
 -   `numpy.vecmat` - vector-matrix product, treating the
     arguments as stacks of column vectors and matrices,
     respectively. For complex vectors, the conjugate is taken.

 These add to the existing `numpy.matmul` as well as to
 `numpy.vecdot`, which was added in numpy 2.0.

 Note that `numpy.matmul` never takes a complex conjugate, also not when its
 left input is a vector, while both `numpy.vecdot` and `numpy.vecmat` do
 take the conjugate for complex vectors on the left-hand side (which are
 taken to be the ones that are transposed, following the physics
 convention).

 ([gh-25675](https://github.com/numpy/numpy/pull/25675))

-   `np.complexfloating[T, T]` can now also be written as
 `np.complexfloating[T]`

 ([gh-27420](https://github.com/numpy/numpy/pull/27420))

-   UFuncs now support `__dict__` attribute and allow overriding
 `__doc__` (either directly or via `ufunc.__dict__["__doc__"]`).
 `__dict__` can be used to also override other properties, such as
 `__module__` or `__qualname__`.

 ([gh-27735](https://github.com/numpy/numpy/pull/27735))

-   The \"nbit\" type parameter of `np.number` and its subtypes now
 defaults to `typing.Any`. This way, type-checkers will infer
 annotations such as `x: np.floating` as `x: np.floating[Any]`, even
 in strict mode.

 ([gh-27736](https://github.com/numpy/numpy/pull/27736))

Improvements

-   The `datetime64` and `timedelta64` hashes now correctly match the
 Pythons builtin `datetime` and `timedelta` ones. The hashes now
 evaluated equal even for equal values with different time units.

 ([gh-14622](https://github.com/numpy/numpy/pull/14622))

-   Fixed a number of issues around promotion for string ufuncs with
 StringDType arguments. Mixing StringDType and the fixed-width DTypes
 using the string ufuncs should now generate much more uniform
 results.

 ([gh-27636](https://github.com/numpy/numpy/pull/27636))

-   Improved support for empty `memmap`. Previously an empty `memmap` would
 fail unless a non-zero `offset` was set.  Now a zero-size `memmap` is
 supported even if `offset=0`. To achieve this, if a `memmap` is mapped to
 an empty file that file is padded with a single byte.

 ([gh-27723](https://github.com/numpy/numpy/pull/27723))

-   `f2py` handles multiple modules and exposes variables again.  A regression
 has been fixed which allows F2PY users to expose variables to Python in
 modules with only assignments, and also fixes situations where multiple
 modules are present within a single source file.

 ([gh-27695](https://github.com/numpy/numpy/pull/27695))

Performance improvements and changes

-   NumPy now uses fast-on-failure attribute lookups for protocols. This
 can greatly reduce overheads of function calls or array creation
 especially with custom Python objects. The largest improvements will
 be seen on Python 3.12 or newer.

 ([gh-27119](https://github.com/numpy/numpy/pull/27119))

-   OpenBLAS on x86_64 and i686 is built with fewer kernels. Based on
 benchmarking, there are 5 clusters of performance around these
 kernels: `PRESCOTT NEHALEM SANDYBRIDGE HASWELL SKYLAKEX`.

-   OpenBLAS on windows is linked without quadmath, simplifying
 licensing

-   Due to a regression in OpenBLAS on windows, the performance
 improvements when using multiple threads for OpenBLAS 0.3.26 were
 reverted.

 ([gh-27147](https://github.com/numpy/numpy/pull/27147))

-   NumPy now indicates hugepages also for large `np.zeros` allocations
 on linux. Thus should generally improve performance.

 ([gh-27808](https://github.com/numpy/numpy/pull/27808))

Changes

-   `numpy.fix` now won\'t perform casting to a floating
 data-type for integer and boolean data-type input arrays.

 ([gh-26766](https://github.com/numpy/numpy/pull/26766))

-   The type annotations of `numpy.float64` and `numpy.complex128` now reflect
 that they are also subtypes of the built-in `float` and `complex` types,
 respectively. This update prevents static type-checkers from reporting
 errors in cases such as:

  python
 x: float = numpy.float64(6.28)   valid
 z: complex = numpy.complex128(-1j)   valid
 

 ([gh-27334](https://github.com/numpy/numpy/pull/27334))

-   The `repr` of arrays large enough to be summarized (i.e., where
 elements are replaced with `...`) now includes the `shape` of the
 array, similar to what already was the case for arrays with zero
 size and non-obvious shape. With this change, the shape is always
 given when it cannot be inferred from the values. Note that while
 written as `shape=...`, this argument cannot actually be passed in
 to the `np.array` constructor. If you encounter problems, e.g., due
 to failing doctests, you can use the print option `legacy=2.1` to
 get the old behaviour.

 ([gh-27482](https://github.com/numpy/numpy/pull/27482))

-   Calling `__array_wrap__` directly on NumPy arrays or scalars now
 does the right thing when `return_scalar` is passed (Added in NumPy
 2). It is further safe now to call the scalar `__array_wrap__` on a
 non-scalar result.

 ([gh-27807](https://github.com/numpy/numpy/pull/27807))

-   Bump the musllinux CI image and wheels to 1_2 from 1_1. This is because
 1_1 is [end of life](https://github.com/pypa/manylinux/issues/1629).

 ([gh-27088](https://github.com/numpy/numpy/pull/27088))

-   NEP 50 promotion state option removed

 The NEP 50 promotion state settings are now removed. They were always meant as
 temporary means for testing. A warning will be given if the environment
 variable is set to anything but `NPY_PROMOTION_STATE=weak` while
 `_set_promotion_state` and `_get_promotion_state` are removed. In case code
 used `_no_nep50_warning`, a `contextlib.nullcontext` could be used to replace
 it when not available.

 ([gh-27156](https://github.com/numpy/numpy/pull/27156))

Checksums

MD5

 83746dfc1b7774a6677a69c705b83afe  numpy-2.2.0rc1-cp310-cp310-macosx_10_9_x86_64.whl
 e69c45cf5ea08fdf2a5527190a7d6549  numpy-2.2.0rc1-cp310-cp310-macosx_11_0_arm64.whl
 d4f8048977139cb229875c201f605369  numpy-2.2.0rc1-cp310-cp310-macosx_14_0_arm64.whl
 8710578b7f4ceef7f73b6d234ad3a82a  numpy-2.2.0rc1-cp310-cp310-macosx_14_0_x86_64.whl
 899d1f24d8e5570695a024908d100174  numpy-2.2.0rc1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
 cb768ee568bed2e4f55d47f43c655bc2  numpy-2.2.0rc1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
 5a40726db153ca1984598323cc59eb9b  numpy-2.2.0rc1-cp310-cp310-musllinux_1_2_aarch64.whl
 450e5e05bdc5551c0a4df2a8d7f09925  numpy-2.2.0rc1-cp310-cp310-musllinux_1_2_x86_64.whl
 1c34c86b0abaa5d2a75677044a7fca07  numpy-2.2.0rc1-cp310-cp310-win32.whl
 d679ad13f3892325fd4542931ee74852  numpy-2.2.0rc1-cp310-cp310-win_amd64.whl
 a7a8cf5fa2e3d4bd0131ad48c0215f50  numpy-2.2.0rc1-cp311-cp311-macosx_10_9_x86_64.whl
 aa6c629290d8b05b44fbbf805fb39dbe  numpy-2.2.0rc1-cp311-cp311-macosx_11_0_arm64.whl
 a04fe8ac96a5226686ec4190db8511d6  numpy-2.2.0rc1-cp311-cp311-macosx_14_0_arm64.whl
 50aedb2a570a7867e860d98eb816bec4  numpy-2.2.0rc1-cp311-cp311-macosx_14_0_x86_64.whl
 cd034c5179ee4cc5669ae36be0deb6ab  numpy-2.2.0rc1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
 67e3336cdcdcf72cd07978a465e61ebd  numpy-2.2.0rc1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
 45456522fc3996937f1b1ad8bd7f85b2  numpy-2.2.0rc1-cp311-cp311-musllinux_1_2_aarch64.whl
 244dcedc05e96c843853738bc2d37bdb  numpy-2.2.0rc1-cp311-cp311-musllinux_1_2_x86_64.whl
 da24dd620b6509740a1d8aebe4d1306c  numpy-2.2.0rc1-cp311-cp311-win32.whl
 472e5f997dc437b8115ba4ef70a6a266  numpy-2.2.0rc1-cp311-cp311-win_amd64.whl
 6e4ec4f92f8b0768d679419360098a89  numpy-2.2.0rc1-cp312-cp312-macosx_10_13_x86_64.whl
 e15a1756fbe98aa61cb8d98de1d516fc  numpy-2.2.0rc1-cp312-cp312-macosx_11_0_arm64.whl
 6c58bba6f453ad22a651f6f0f6416899  numpy-2.2.0rc1-cp312-cp312-macosx_14_0_arm64.whl
 1a00dd2343f8ec48350b39f72e2c4fa1  numpy-2.2.0rc1-cp312-cp312-macosx_14_0_x86_64.whl
 cbe9b6d14530bdfb75ef61f4328f6b9e  numpy-2.2.0rc1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
 a4f14055b4cfafab7035f35e61c6cebb  numpy-2.2.0rc1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
 8c3c80295b92ae839fcb1fc2ab2edf0e  numpy-2.2.0rc1-cp312-cp312-musllinux_1_2_aarch64.whl
 1a5aac9894d1959e1cbbcf58e3aa98d1  numpy-2.2.0rc1-cp312-cp312-musllinux_1_2_x86_64.whl
 03577c58315ae4b28c3111be0af0c18a  numpy-2.2.0rc1-cp312-cp312-win32.whl
 c8ed06acb7e1b885081e682a391524d8  numpy-2.2.0rc1-cp312-cp312-win_amd64.whl
 53955ed28cb43f004ccd9f2f1e07b0d4  numpy-2.2.0rc1-cp313-cp313-macosx_10_13_x86_64.whl
 dffe0e20843d5e331358206b535c47f7  numpy-2.2.0rc1-cp313-cp313-macosx_11_0_arm64.whl
 1f22dc1bc3dd3bf645a35a8c58e07ac3  numpy-2.2.0rc1-cp313-cp313-macosx_14_0_arm64.whl
 57bb0a9d61444162269751eb861bef75  numpy-2.2.0rc1-cp313-cp313-macosx_14_0_x86_64.whl
 b38fd53f8f162a833b89e32b52d6f0b5  numpy-2.2.0rc1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
 f8975385402dfa988efe0121adcb3b83  numpy-2.2.0rc1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
 8b739c89e3c67210467ac0855623da47  numpy-2.2.0rc1-cp313-cp313-musllinux_1_2_aarch64.whl
 902e1f704a187a85f02f71877ed69baf  numpy-2.2.0rc1-cp313-cp313-musllinux_1_2_x86_64.whl
 fc33a9a4c895b2463672d01e75431a8f  numpy-2.2.0rc1-cp313-cp313-win32.whl
 f57eb3377cf0acf5ce165034e5d3d061  numpy-2.2.0rc1-cp313-cp313-win_amd64.whl
 4dff6567391c376daf27f2a144a4142d  numpy-2.2.0rc1-cp313-cp313t-macosx_10_13_x86_64.whl
 5195eeac3d355592ec97db04cea7fb43  numpy-2.2.0rc1-cp313-cp313t-macosx_11_0_arm64.whl
 9a5e6fb707b1bc448d6f5eb226757581  numpy-2.2.0rc1-cp313-cp313t-macosx_14_0_arm64.whl
 455ef245987926bb966565de0f68d00f  numpy-2.2.0rc1-cp313-cp313t-macosx_14_0_x86_64.whl
 f10882cf7238a03896903b337bce2b05  numpy-2.2.0rc1-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
 8889da4b211ca3edba34518306115a81  numpy-2.2.0rc1-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
 1d29f0a150c39b500b4f0b1e4c625e9b  numpy-2.2.0rc1-cp313-cp313t-musllinux_1_2_aarch64.whl
 dcf499ab9d350e3414368a106c714256  numpy-2.2.0rc1-cp313-cp313t-musllinux_1_2_x86_64.whl
 af48c02a9130ad93e93a55ebf87b5c78  numpy-2.2.0rc1-cp313-cp313t-win32.whl
 290c12deaff6df2e54569563a8f1316a  numpy-2.2.0rc1-cp313-cp313t-win_amd64.whl
 fce62da0e31ae09237cf241c77e54498  numpy-2.2.0rc1-pp310-pypy310_pp73-macosx_10_15_x86_64.whl
 85acaaaa495d92bc52631a6a0654fd8e  numpy-2.2.0rc1-pp310-pypy310_pp73-macosx_14_0_x86_64.whl
 cb0482e5c60d706b9b0e9ce8dac9d8a6  numpy-2.2.0rc1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
 67390891e461b1983aadab51bc96a78b  numpy-2.2.0rc1-pp310-pypy310_pp73-win_amd64.whl
 4836fdb3009f043287f011b5f6d18208  numpy-2.2.0rc1.tar.gz

SHA256

 acd4f4e9f8c3c04c9a695333d4f475ec2f7a577342b469b411f7ffb2a2888fdc  numpy-2.2.0rc1-cp310-cp310-macosx_10_9_x86_64.whl
 8c3cd769a38a363fe21077ad137ee43be639464e5f257821a4cc4d4e2016deea  numpy-2.2.0rc1-cp310-cp310-macosx_11_0_arm64.whl
 72fa15a5f801faf598e6633a6efcb5661085f509f8f6631a0c2c86be06631b78  numpy-2.2.0rc1-cp310-cp310-macosx_14_0_arm64.whl
 44d55304a7397d6e89707af99ea8e980a101a7ff01dd768aaaca16b2312c799b  numpy-2.2.0rc1-cp310-cp310-macosx_14_0_x86_64.whl
 8a25595d5951ad46bec827dfee09328b8da041fc3f7f13f63880274ed4ec215e  numpy-2.2.0rc1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
 c335bd4e3395b8209a011b97e5f9876092fb2dc283933d39620a30c1fa82dfab  numpy-2.2.0rc1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
 5ac124ab756ad56a14cdfcdc69cc220befbfb1162fdf3ca4f6eb1a0ace634c56  numpy-2.2.0rc1-cp310-cp310-musllinux_1_2_aarch64.whl
 2f7861ff2b862e2536f2256acf5dcf1909e927a5f5e940dfd488eecd178a96b6  numpy-2.2.0rc1-cp310-cp310-musllinux_1_2_x86_64.whl
 e2d4b5a37cf5df43ffdabe0ebea150d5ec0a1796ad7122b3a780f1ab646708c8  numpy-2.2.0rc1-cp310-cp310-win32.whl
 7a3261b3b7d1403a65112dbad568eee7de596cebd0267e27e7daaa9e08dd396a  numpy-2.2.0rc1-cp310-cp310-win_amd64.whl
 61915861927b8e20223b7ccbe40ebf3f52220c0fca43be8423087348c7c00418  numpy-2.2.0rc1-cp311-cp311-macosx_10_9_x86_64.whl
 8815f7e6d48dbcf4f14704d79b90c8fee1a68a42886d42e9c8209092e684bd99  numpy-2.2.0rc1-cp311-cp311-macosx_11_0_arm64.whl
 3e80348e6d187573dc2bb6b1d862fc32353db371ae063d25b2199f65adc96ff1  numpy-2.2.0rc1-cp311-cp311-macosx_14_0_arm64.whl
 8fb79fe9bfefb2b43f701090f70413fb535f10bfdfab1981b7c02bd406cc39dd  numpy-2.2.0rc1-cp311-cp311-macosx_14_0_x86_64.whl
 042b6a87c48307955049b338981ff9278fa5e7ff3166bbd0d3294f40726d22d5  numpy-2.2.0rc1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
 94251286fd3cec5552f217030af4cae68f7a1db4f1791765e597b6d9c0a7647a  numpy-2.2.0rc1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
 ffaa01305af250d733d9940c694d206a0c7d1ea2bd5a01bcb5ff7e48c3e6adac  numpy-2.2.0rc1-cp311-cp311-musllinux_1_2_aarch64.whl
 37e6413ed8f66df534631058771ca362939e243da725b5e8537d8c64b664e9b2  numpy-2.2.0rc1-cp311-cp311-musllinux_1_2_x86_64.whl
 7bd86cdae85da5fa8763fbe9acfdb4748e1f10bef5e6524bffdfdd2b21bfd56f  numpy-2.2.0rc1-cp311-cp311-win32.whl
 27f2593fe479dff6f4398563ca2fbf7a416fd8d3a8ad7a35fecbc8ba959000ab  numpy-2.2.0rc1-cp311-cp311-win_amd64.whl
 f721298f4c39b4619b16ba0d341ff5e043d4123dfb796bd84835538bf8abad2b  numpy-2.2.0rc1-cp312-cp312-macosx_10_13_x86_64.whl
 aed72fe759ada921342b4a8ae0893cc7778b07d2f36a78445c70d5ea633c3b25  numpy-2.2.0rc1-cp312-cp312-macosx_11_0_arm64.whl
 c940b9623e29db06b7d0d3c93c560d42bbd73a76f6d27c41d3fd09c0a15f7773  numpy-2.2.0rc1-cp312-cp312-macosx_14_0_arm64.whl
 a783f561c34be98eb25f8cce029b63434d2dfe79702a1d53e9a0fd63c0391dc8  numpy-2.2.0rc1-cp312-cp312-macosx_14_0_x86_64.whl
 d0db426baa0d9547d9ac3ea08110e9bba400fab7a036235d9baddf61fd931af8  numpy-2.2.0rc1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
 7925618745531971be54a87e0b85dfe83c69dac9dfd8e46c8aaae520af05792b  numpy-2.2.0rc1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
 5d7a819d4d31bf9998c907105d97a082919b659ff8d44cef2c4f78d0ac16af47  numpy-2.2.0rc1-cp312-cp312-musllinux_1_2_aarch64.whl
 0b6cb83ab76b101b87211ab6227e010789adf4a98ee4af07a2480d1d2f61d195  numpy-2.2.0rc1-cp312-cp312-musllinux_1_2_x86_64.whl
 dc86f8502db8dfbe3474a34395e453849d03f0717227f7bda57a235cbbee3575  numpy-2.2.0rc1-cp312-cp312-win32.whl
 a87c1a4d808de26157440153bb9c51d7dc4778c6cd730026406298b75fa5c2df  numpy-2.2.0rc1-cp312-cp312-win_amd64.whl
 c2ef440fc343cc11e8e1591bf77b0f4f21b0684feabdf7b3ec3d768b8cce7a05  numpy-2.2.0rc1-cp313-cp313-macosx_10_13_x86_64.whl
 4332ddb4f40e85f6cdf1594279b35e847a20054c3269f7f2e848b6075cb8f4b3  numpy-2.2.0rc1-cp313-cp313-macosx_11_0_arm64.whl
 dc532dd1c767864614f383cad63edf864f78df3533b6444d94af099583c8fb39  numpy-2.2.0rc1-cp313-cp313-macosx_14_0_arm64.whl
 ecc601c633667ea5eed0c16f987e4c715ee951d0bfa3658f76b690e8dceaddfd  numpy-2.2.0rc1-cp313-cp313-macosx_14_0_x86_64.whl
 38405f26748e7ed4c7b31e5f8c24f385e1daf4954628f6143f5a09047e220ca9  numpy-2.2.0rc1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
 e515a7d5f5e1b32eb9e761de4f0327aceee27ec07cc655d26424a5e86d3c8d0d  numpy-2.2.0rc1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
 fd3981aa01428eef69fe5ff2e97e3ca8e65e677ffacc7c447e164ae2aaf521fb  numpy-2.2.0rc1-cp313-cp313-musllinux_1_2_aarch64.whl
 61a04f035bd4f87d6c0592eaa06061f9f16bf0e11d546e3b9252ccf83f0917a6  numpy-2.2.0rc1-cp313-cp313-musllinux_1_2_x86_64.whl
 1b18bf71975be1728042ba232d7406ae2f6fed8431684851fda4b909ab6e20ce  numpy-2.2.0rc1-cp313-cp313-win32.whl
 5776d7b395dcf180bc807a9374aca05b6569e5e5e4bdcbf112aa452a471405e0  numpy-2.2.0rc1-cp313-cp313-win_amd64.whl
 3f0d900e60e783fa9965729fa2a17021add82d769bf298cdb407abcbbf316e28  numpy-2.2.0rc1-cp313-cp313t-macosx_10_13_x86_64.whl
 def9537da892cd995f81646df94021fbf0dce690d518daaabc0902bc8ce42cd9  numpy-2.2.0rc1-cp313-cp313t-macosx_11_0_arm64.whl
 f2b59a4e85367107dced5b3c7374a5e828ddb7c5c4e1d98176d09b177e23edd0  numpy-2.2.0rc1-cp313-cp313t-macosx_14_0_arm64.whl
 9c3bdfe13209bf4f81aea5f8dd2843ab17c9a9273133d491c220636bfd51432d  numpy-2.2.0rc1-cp313-cp313t-macosx_14_0_x86_64.whl
 b0b742731c2721445a03e469f286c9ddf15dd80e52622ea4487ddc10a7869fe9  numpy-2.2.0rc1-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
 8c43d7beaab6509f1467175cc7cfdcc048581b91ba55e149cc39af758209b166  numpy-2.2.0rc1-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
 598b88170e0f361d2f6d8cc9ec18d798af07a2e9b30b95ba2d76415b7c3cc433  numpy-2.2.0rc1-cp313-cp313t-musllinux_1_2_aarch64.whl
 ddb4720b057048d7ac3ce973256e89e1e7481f71b5a214a0a3be936aeda014e7  numpy-2.2.0rc1-cp313-cp313t-musllinux_1_2_x86_64.whl
 64b994b9054ab051d137fff61bb6244aa1e7a80defa42c507355b562cc44a561  numpy-2.2.0rc1-cp313-cp313t-win32.whl
 67d2f5c34f231e7ed59189c20f8b7472b77cff85277bcd80537417eee61977db  numpy-2.2.0rc1-cp313-cp313t-win_amd64.whl
 d4bbc95647ce01252827d4c6ea5de42460ea66d75831333f2b92f088b60e1b43  numpy-2.2.0rc1-pp310-pypy310_pp73-macosx_10_15_x86_64.whl
 d8d13dd7b6f1f14c43ff68e81c8edcb035f572d87507b5f629e78a7d8c61e9f4  numpy-2.2.0rc1-pp310-pypy310_pp73-macosx_14_0_x86_64.whl
 d12bf735dc4e7dfa8c66b2fd47547bcf91c9996585324959e2c5a2f5360e1c8f  numpy-2.2.0rc1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
 8d7de626a5e554b074890258e63d0b06eff2af48da034fe5ffef8743578b1e0b  numpy-2.2.0rc1-pp310-pypy310_pp73-win_amd64.whl
 d3c343e027351fbb3f7ddb0024857cd10837d6a77b40b33e39ff6706ed7ceec1  numpy-2.2.0rc1.tar.gz

Links

• PyPI: https://pypi.org/project/numpy
• Changelog: https://data.safetycli.com/changelogs/numpy/

Update phonenumbers from 8.13.50 to 8.13.52.

Changelog

8.13.52

Metadata changes:
- Updated phone metadata for region code(s):
CA, DE, DK, IL, JP, KY, MN, UG, US, UZ
- Updated short number metadata for region code(s): DK
- Updated geocoding data for country calling code(s): 86 (en, zh), 1345 (en)
- Updated carrier data for country calling code(s):
45 (en), 229 (en), 972 (en), 976 (en)
- Updated / refreshed time zone meta data.

8.13.51

Code changes:
- Reverted the std:: qualifier to string throughout phonenumberutil.
- Reverted  absl::string_view to std::string parameters.
Metadata changes:
- Updated phone metadata for region code(s):
870, CA, GE, GF, GU, HK, HN, MQ, PM, RE, SN, SY, TG, US, YT
- New geocoding data for country calling code(s): 1327 (en), 1942 (en)
- Updated carrier data for country calling code(s):
27 (en), 34 (en), 81 (en), 221 (en), 228 (en), 262 (en), 351 (en), 508 (en),
594 (en), 596 (en), 852 (en, zh), 963 (en), 995 (en), 1671 (en)
- Updated / refreshed time zone meta data.

Links

• PyPI: https://pypi.org/project/phonenumbers
• Changelog: https://data.safetycli.com/changelogs/phonenumbers/
• Repo: https://github.com/daviddrysdale/python-phonenumbers

Update pkginfo from 1.11.2 to 1.12.0.

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

Links

• PyPI: https://pypi.org/project/pkginfo
• Homepage: https://code.launchpad.net/~tseaver/pkginfo/trunk
• Docs: https://pythonhosted.org/pkginfo/

Update prometheus-client from 0.21.0 to 0.21.1.

Changelog

0.21.1

What's Changed
[BUGFIX] Revert incorrect use of reentrant locks. 1076

Links

• PyPI: https://pypi.org/project/prometheus-client
• Changelog: https://data.safetycli.com/changelogs/prometheus-client/
• Repo: https://github.com/prometheus/client_python

Update protobuf from 5.28.3 to 5.29.1.

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

Links

• PyPI: https://pypi.org/project/protobuf
• Changelog: https://data.safetycli.com/changelogs/protobuf/
• Homepage: https://developers.google.com/protocol-buffers/

Update pycurl from 7.45.3 to 7.45.4.

Changelog

7.45.4

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

     * Add support for CURLOPT_HAPROXY_CLIENT_IP (patch by Scott Talbert).
     * Port tests from bottle to flask (patch by Miro Hrončok).
     * Add constant for CURL_HTTP_VERSION_3ONLY (patch by Pavel Horáček).
     * Add EFFECTIVE_METHOD info option (patch by Pavel Horáček).
     * Don't use `-flat_namespace` on macOS (patch by Michael Cho).
     * Add some missing GIL checks to callback functions
       (patch by Scott Talbert).
     * Fix assorted bugs in pycurl tests, including a segfault
       (patch by Scott Talbert).  All tests should now pass on Linux and
       macOS.
     * Fix minor bug in examples/multi-socket_action-select.py
       (patch by Oleg Broytman).
     * Build all wheels using the latest version of libcurl and its
       dependencies (patch by Scott Talbert).  All wheels should now have
       openssl, HTTP2, and SSH support.
     * Implement Certificate Authority path autodetection when building
       Linux wheels (patch by Scott Talbert).

Links

• PyPI: https://pypi.org/project/pycurl
• Changelog: https://data.safetycli.com/changelogs/pycurl/
• Homepage: http://pycurl.io/

Update PyJWT from 2.10.0 to 2.10.1.

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

Links

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

Update pylint from 3.3.1 to 3.3.2.

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

Links

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

Update pyOpenSSL from 24.2.1 to 24.3.0.

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

Links

• PyPI: https://pypi.org/project/pyopenssl
• Homepage: https://pyopenssl.org/
• Docs: https://pythonhosted.org/pyOpenSSL/

Update pytest from 8.3.3 to 8.3.4.

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

Links

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

Update PyWavelets from 1.7.0 to 1.8.0.

Changelog

Links

• PyPI: https://pypi.org/project/pywavelets
• Changelog: https://data.safetycli.com/changelogs/pywavelets/
• Docs: https://pythonhosted.org/PyWavelets/

Update qstylizer from 0.2.3 to 0.2.4.

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

Links

• PyPI: https://pypi.org/project/qstylizer
• Repo: https://github.com/blambright/qstylizer

Update scikit-image from 0.24.0 to 0.25.0.

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

Links

• PyPI: https://pypi.org/project/scikit-image
• Changelog: https://data.safetycli.com/changelogs/scikit-image/
• Docs: https://pythonhosted.org/scikit-image/

Update scikit-learn from 1.5.2 to 1.6.0.

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

Links

• PyPI: https://pypi.org/project/scikit-learn
• Changelog: https://data.safetycli.com/changelogs/scikit-learn/

Update scikit-learn-intelex from 2025.0.0 to 2025.0.1.

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

Links

• PyPI: https://pypi.org/project/scikit-learn-intelex
• Changelog: https://data.safetycli.com/changelogs/scikit-learn-intelex/
• Repo: https://github.com/intel/scikit-learn-intelex

Update sip from 6.8.6 to 6.9.1.

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

Links

• PyPI: https://pypi.org/project/sip

Update six from 1.16.0 to 1.17.0.

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

Links

• PyPI: https://pypi.org/project/six
• Repo: https://github.com/benjaminp/six

Update spyder from 6.0.2 to 6.0.3.

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

Links

• PyPI: https://pypi.org/project/spyder
• Changelog: https://data.safetycli.com/changelogs/spyder/
• Homepage: https://www.spyder-ide.org/

Update spyder-kernels from 3.0.1 to 3.0.2.

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

Links

• PyPI: https://pypi.org/project/spyder-kernels
• Repo: https://github.com/spyder-ide/spyder-kernels

Update sqlparse from 0.5.2 to 0.5.3.

Changelog

0.5.3

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

Bug Fixes

* This version introduces a more generalized handling of potential denial of
service attack (DOS) due to recursion errors for deeply nested statements.
Brought up and fixed by living180. Thanks a lot!

Links

• PyPI: https://pypi.org/project/sqlparse
• Changelog: https://data.safetycli.com/changelogs/sqlparse/

Update tifffile from 2024.9.20 to 2024.12.12.

Changelog

2024.12.12

- Pass 5110 tests.
- Read PlaneProperty from STK UIC1Tag (280).
- Allow 'None' as alias for COMPRESSION.NONE and PREDICTOR.NONE (274).
- Zarr 3 is not supported (272).

Links

• PyPI: https://pypi.org/project/tifffile
• Changelog: https://data.safetycli.com/changelogs/tifffile/
• Homepage: https://www.cgohlke.com

Update tornado from 6.4.1 to 6.4.2.

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

Links

• PyPI: https://pypi.org/project/tornado
• Homepage: http://www.tornadoweb.org/

Update tqdm from 4.67.0 to 4.67.1.

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

Links

• PyPI: https://pypi.org/project/tqdm
• Changelog: https://data.safetycli.com/changelogs/tqdm/

Update twilio from 9.3.7 to 9.4.1.

Changelog

9.4.1

--------------------------
**Library - Fix**
- [PR 827](https://github.com/twilio/twilio-python/pull/827): Fixing init file for preview iam domain. Thanks to [AsabuHere](https://github.com/AsabuHere)!

**Library - Chore**
- [PR 826](https://github.com/twilio/twilio-python/pull/826): fix orgs api changes. Thanks to [tiwarishubham635](https://github.com/tiwarishubham635)!

9.4.0

--------------------------
**Library - Feature**
- [PR 825](https://github.com/twilio/twilio-python/pull/825): Docs update and examples for organization api uptake and public oauth. Thanks to [AsabuHere](https://github.com/AsabuHere)!
- [PR 815](https://github.com/twilio/twilio-python/pull/815): Organizations Api uptake for twilio-python. Thanks to [AsabuHere](https://github.com/AsabuHere)!

9.3.8

--------------------------
**Api**
- Add optional parameter `intelligence_service` to `transcription`
- Updated `phone_number_sid` to be populated for sip trunking terminating calls.

**Numbers**
- Add Update Hosted Number Order V2 API endpoint
- Update Port in docs

**Twiml**
- Add optional parameter `intelligence_service` to `<Transcription>`
- Add support for new `<ConversationRelay>` and `<Assistant>` noun
- Add `events` attribute to `<Dial>` verb

Links

• PyPI: https://pypi.org/project/twilio
• Changelog: https://data.safetycli.com/changelogs/twilio/
• Repo: https://github.com/twilio/twilio-python/

Update Twisted from 24.10.0 to 24.11.0.

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

Links

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

Update wagtail from 6.3 to 6.3.1.

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

Links

• PyPI: https://pypi.org/project/wagtail
• Homepage: https://wagtail.org/

Update wrapt from 1.16.0 to 1.17.0.

Changelog

1.17.0

See the project page on the Python Package Index at https://pypi.org/project/wrapt/1.17.0/ for more information.

Links

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

Update xlwings from 0.33.3 to 0.33.4.

Changelog

0.33.4

* Release Notes: https://docs.xlwings.org/en/latest/whatsnew.html
* Installation: To install this release, you must use the `pip` or `conda` package manager, you can't install from source directly, see https://docs.xlwings.org/en/stable/installation.html
* CLI: `xlwings.exe` is a standalone xlwings command-line client with very limited functionality. It currently works for the `xlwings vba`, `xlwings addin -f`, and `xlwings auth` commands and saves you from having to install a full Python installation if these are your only use cases.

Links

• PyPI: https://pypi.org/project/xlwings
• Changelog: https://data.safetycli.com/changelogs/xlwings/
• Homepage: https://www.xlwings.org

Update zope.interface from 7.1.1 to 7.2.

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

Links

• PyPI: https://pypi.org/project/zope.interface
• Repo: https://github.com/zopefoundation/zope.interface

[pyup-bot]

Closing this in favor of #224