Scheduled weekly dependency update for week 49 #222

pyup-bot · 2024-12-09T20:46:41Z

Update anyio from 4.6.2.post1 to 4.7.0.

Changelog

4.7.0

-   Updated `TaskGroup` to work with asyncio&#x27;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 \&gt;= 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.

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Links

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

Update astropy from 6.1.6 to 7.0.0.

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

Update bcrypt from 4.2.0 to 4.2.1.

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

Update bokeh from 3.6.1 to 3.6.2.

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

Update cryptography from 43.0.3 to 44.0.0.

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

Update dask from 2024.11.2 to 2024.12.0.

Changelog

2024.12.0

Changes

- Revert &quot;Add LLM chatbot to Dask docs (11556)&quot; 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 1.8.9.

Changelog

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 &quot;high&quot;, one security issue
with severity &quot;moderate&quot;, 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 &lt;jsonfield.has_key&gt;` 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.

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Links

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

Update fonttools from 4.55.0 to 4.55.2.

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PyPI: https://pypi.org/project/fonttools
Repo: http://github.com/fonttools/fonttools

Update google-api-python-client from 2.153.0 to 2.154.0.

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Update google-cloud-storage from 2.18.2 to 2.19.0.

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Update grpcio from 1.68.0 to 1.68.1.

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

Update grpcio-status from 1.68.0 to 1.68.1.

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Links

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

Update hiredis from 3.0.0 to 3.1.0.

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Links

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

Update hstspreload from 2024.11.1 to 2024.12.1.

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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=&lt;ssl_context&gt;` 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.

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Links

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

Update ipython from 8.29.0 to 8.30.0.

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

Update json5 from 0.9.28 to 0.10.0.

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

Update jupyterlab from 4.3.1 to 4.3.2.

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PyPI: https://pypi.org/project/jupyterlab

Update matplotlib from 3.9.2 to 3.9.3.

Changelog

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&#x27;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.

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Links

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

Update notebook from 7.2.2 to 7.3.1.

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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 &gt; 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__[&quot;__doc__&quot;]`).
 `__dict__` can be used to also override other properties, such as
 `__module__` or `__qualname__`.

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

-   The \&quot;nbit\&quot; 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\&#x27;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))

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Update prometheus-client from 0.21.0 to 0.21.1.

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What&#x27;s Changed
[BUGFIX] Revert incorrect use of reentrant locks. 1076

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pyup-bot · 2024-12-16T20:46:51Z

Closing this in favor of #223

pyup-bot added 30 commits December 9, 2024 22:46

Update anyio from 4.6.2.post1 to 4.7.0

900b244

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Update ipython from 8.29.0 to 8.30.0

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Update json5 from 0.9.28 to 0.10.0

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Update pkginfo from 1.11.2 to 1.12.0

4f69d7c

pyup-bot added 20 commits December 9, 2024 22:46

Update prometheus-client from 0.21.0 to 0.21.1

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Update protobuf from 5.28.3 to 5.29.1

bd93360

Update pyjwt from 2.10.0 to 2.10.1

d13f505

Update pylint from 3.3.1 to 3.3.2

f3cd722

Update pyopenssl from 24.2.1 to 24.3.0

a122408

Update pytest from 8.3.3 to 8.3.4

cab0508

Update pywavelets from 1.7.0 to 1.8.0

8d9e051

Update qstylizer from 0.2.3 to 0.2.4

9cac480

Update scikit-learn from 1.5.2 to 1.6.0

d6fd5db

Update sip from 6.8.6 to 6.9.0

eae959b

Update six from 1.16.0 to 1.17.0

f6d51ad

Update spyder-kernels from 3.0.1 to 3.0.2

36b1a53

Update tornado from 6.4.1 to 6.4.2

d34a5e0

Update tqdm from 4.67.0 to 4.67.1

bbaf1b3

Update twilio from 9.3.7 to 9.3.8

0a34c17

Update twisted from 24.10.0 to 24.11.0

966b241

Update wagtail from 6.3 to 6.3.1

c500dbf

Update wrapt from 1.16.0 to 1.17.0

7dadff7

Update xlwings from 0.33.3 to 0.33.4

9493c36

Update zope.interface from 7.1.1 to 7.2

942ffaf

pyup-bot mentioned this pull request Dec 9, 2024

Scheduled weekly dependency update for week 48 #221

Closed

pyup-bot closed this Dec 16, 2024

thomas545 deleted the pyup-scheduled-update-2024-12-09 branch December 16, 2024 20:46

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Scheduled weekly dependency update for week 49 #222

Scheduled weekly dependency update for week 49 #222

pyup-bot commented Dec 9, 2024

pyup-bot commented Dec 16, 2024

Scheduled weekly dependency update for week 49 #222

Scheduled weekly dependency update for week 49 #222

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pyup-bot commented Dec 9, 2024

Update anyio from 4.6.2.post1 to 4.7.0.

4.7.0

Update astroid from 3.3.5 to 3.3.6.

Update astropy from 6.1.6 to 7.0.0.

Update bcrypt from 4.2.0 to 4.2.1.

Update bokeh from 3.6.1 to 3.6.2.

Update cryptography from 43.0.3 to 44.0.0.

Update dask from 2024.11.2 to 2024.12.0.

2024.12.0

Update debugpy from 1.8.8 to 1.8.9.

1.8.9

Update distributed from 2024.11.2 to 2024.12.0.

2024.12.0

Update Django from 5.1.3 to 5.1.4.

5.1.4

Update django-allauth from 65.2.0 to 65.3.0.

Update fonttools from 4.55.0 to 4.55.2.

Update google-api-python-client from 2.153.0 to 2.154.0.

Update google-cloud-storage from 2.18.2 to 2.19.0.

Update grpcio from 1.68.0 to 1.68.1.

Update grpcio-status from 1.68.0 to 1.68.1.

Update hiredis from 3.0.0 to 3.1.0.

Update hstspreload from 2024.11.1 to 2024.12.1.

Update httpx from 0.27.2 to 0.28.1.

0.28.1

0.28.0

Update imageio from 2.36.0 to 2.36.1.

Update ipython from 8.29.0 to 8.30.0.

Update json5 from 0.9.28 to 0.10.0.

Update jupyterlab from 4.3.1 to 4.3.2.

Update matplotlib from 3.9.2 to 3.9.3.

3.9.3

Update nbclient from 0.10.0 to 0.10.1.

Update notebook from 7.2.2 to 7.3.1.

Update numexpr from 2.10.1 to 2.10.2.

Update numpy from 2.1.3 to 2.2.0.

2.2.0

Update phonenumbers from 8.13.50 to 8.13.51.

Update pkginfo from 1.11.2 to 1.12.0.

Update prometheus-client from 0.21.0 to 0.21.1.

0.21.1

Update protobuf from 5.28.3 to 5.29.1.

Update PyJWT from 2.10.0 to 2.10.1.

Update pylint from 3.3.1 to 3.3.2.

Update pyOpenSSL from 24.2.1 to 24.3.0.

Update pytest from 8.3.3 to 8.3.4.

Update PyWavelets from 1.7.0 to 1.8.0.

Update qstylizer from 0.2.3 to 0.2.4.

Update scikit-learn from 1.5.2 to 1.6.0.

Update sip from 6.8.6 to 6.9.0.

Update six from 1.16.0 to 1.17.0.

Update spyder-kernels from 3.0.1 to 3.0.2.

Update tornado from 6.4.1 to 6.4.2.

Update tqdm from 4.67.0 to 4.67.1.

Update twilio from 9.3.7 to 9.3.8.

Update Twisted from 24.10.0 to 24.11.0.

Update wagtail from 6.3 to 6.3.1.

Update wrapt from 1.16.0 to 1.17.0.

1.17.0

Update xlwings from 0.33.3 to 0.33.4.

0.33.4

Update zope.interface from 7.1.1 to 7.2.

pyup-bot commented Dec 16, 2024