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Bump the pip group across 1 directory with 10 updates #34

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@dependabot dependabot bot commented on behalf of github Apr 3, 2024

Bumps the pip group with 10 updates in the /backend directory:

Package From To
certifi 2020.12.5 2023.7.22
flask 1.1.2 2.2.5
jinja2 2.11.3 3.1.3
joblib 1.0.1 1.2.0
lxml 4.6.5 4.9.1
numpy 1.21.0 1.22.0
pillow 10.0.1 10.3.0
requests 2.25.1 2.31.0
scikit-learn 0.23.2 1.0.1
scipy 1.6.1 1.11.1

Updates certifi from 2020.12.5 to 2023.7.22

Commits

Updates flask from 1.1.2 to 2.2.5

Release notes

Sourced from flask's releases.

2.2.5

This is a security fix release for the 2.2.x release branch. Note that 2.3.x is the currently supported release branch; please upgrade to the latest version if possible.

2.2.4

This is a fix release for the 2.2.x release branch.

2.2.3

This is a fix release for the 2.2.x release branch.

2.2.2

This is a fix release for the 2.2.0 feature release.

2.2.1

This is a fix release for the 2.2.0 feature release.

2.2.0

This is a feature release, which includes new features and removes previously deprecated code. The 2.2.x branch is now the supported bug fix branch, the 2.1.x branch will become a tag marking the end of support for that branch. We encourage everyone to upgrade, and to use a tool such as pip-tools to pin all dependencies and control upgrades.

2.1.3

2.1.2

This is a fix release for the 2.1.0 feature release.

2.1.1

This is a fix release for the 2.1.0 feature release.

... (truncated)

Changelog

Sourced from flask's changelog.

Version 2.2.5

Released 2023-05-02

  • Update for compatibility with Werkzeug 2.3.3.
  • Set Vary: Cookie header when the session is accessed, modified, or refreshed.

Version 2.2.4

Released 2023-04-25

  • Update for compatibility with Werkzeug 2.3.

Version 2.2.3

Released 2023-02-15

  • Autoescape is enabled by default for .svg template files. :issue:4831
  • Fix the type of template_folder to accept pathlib.Path. :issue:4892
  • Add --debug option to the flask run command. :issue:4777

Version 2.2.2

Released 2022-08-08

  • Update Werkzeug dependency to >= 2.2.2. This includes fixes related to the new faster router, header parsing, and the development server. :pr:4754
  • Fix the default value for app.env to be "production". This attribute remains deprecated. :issue:4740

Version 2.2.1

Released 2022-08-03

  • Setting or accessing json_encoder or json_decoder raises a deprecation warning. :issue:4732

Version 2.2.0

... (truncated)

Commits

Updates jinja2 from 2.11.3 to 3.1.3

Release notes

Sourced from jinja2's releases.

3.1.3

This is a fix release for the 3.1.x feature branch.

3.1.2

This is a fix release for the 3.1.0 feature release.

3.1.1

3.1.0

This is a feature release, which includes new features and removes previously deprecated features. The 3.1.x branch is now the supported bugfix branch, the 3.0.x branch has become a tag marking the end of support for that branch. We encourage everyone to upgrade, and to use a tool such as pip-tools to pin all dependencies and control upgrades. We also encourage upgrading to MarkupSafe 2.1.1, the latest version at this time.

3.0.3

3.0.2

3.0.1

3.0.0

New major versions of all the core Pallets libraries, including Jinja 3.0, have been released! 🎉

This represents a significant amount of work, and there are quite a few changes. Be sure to carefully read the changelog, and use tools such as pip-compile and Dependabot to pin your dependencies and control your updates.

3.0.0rc2

Fixes an issue with the deprecated Markup subclass, #1401.

3.0.0rc1

Changelog

Sourced from jinja2's changelog.

Version 3.1.3

Released 2024-01-10

  • Fix compiler error when checking if required blocks in parent templates are empty. :pr:1858
  • xmlattr filter does not allow keys with spaces. GHSA-h5c8-rqwp-cp95
  • Make error messages stemming from invalid nesting of {% trans %} blocks more helpful. :pr:1918

Version 3.1.2

Released 2022-04-28

  • Add parameters to Environment.overlay to match __init__. :issue:1645
  • Handle race condition in FileSystemBytecodeCache. :issue:1654

Version 3.1.1

Released 2022-03-25

  • The template filename on Windows uses the primary path separator. :issue:1637

Version 3.1.0

Released 2022-03-24

  • Drop support for Python 3.6. :pr:1534

  • Remove previously deprecated code. :pr:1544

    • WithExtension and AutoEscapeExtension are built-in now.
    • contextfilter and contextfunction are replaced by pass_context. evalcontextfilter and evalcontextfunction are replaced by pass_eval_context. environmentfilter and environmentfunction are replaced by pass_environment.
    • Markup and escape should be imported from MarkupSafe.
    • Compiled templates from very old Jinja versions may need to be recompiled.
    • Legacy resolve mode for Context subclasses is no longer supported. Override resolve_or_missing instead of

... (truncated)

Commits

Updates joblib from 1.0.1 to 1.2.0

Changelog

Sourced from joblib's changelog.

Release 1.2.0

  • Fix a security issue where eval(pre_dispatch) could potentially run arbitrary code. Now only basic numerics are supported. joblib/joblib#1327

  • Make sure that joblib works even when multiprocessing is not available, for instance with Pyodide joblib/joblib#1256

  • Avoid unnecessary warnings when workers and main process delete the temporary memmap folder contents concurrently. joblib/joblib#1263

  • Fix memory alignment bug for pickles containing numpy arrays. This is especially important when loading the pickle with mmap_mode != None as the resulting numpy.memmap object would not be able to correct the misalignment without performing a memory copy. This bug would cause invalid computation and segmentation faults with native code that would directly access the underlying data buffer of a numpy array, for instance C/C++/Cython code compiled with older GCC versions or some old OpenBLAS written in platform specific assembly. joblib/joblib#1254

  • Vendor cloudpickle 2.2.0 which adds support for PyPy 3.8+.

  • Vendor loky 3.3.0 which fixes several bugs including:

    • robustly forcibly terminating worker processes in case of a crash (joblib/joblib#1269);

    • avoiding leaking worker processes in case of nested loky parallel calls;

    • reliability spawn the correct number of reusable workers.

Release 1.1.1

  • Fix a security issue where eval(pre_dispatch) could potentially run arbitrary code. Now only basic numerics are supported. joblib/joblib#1327

Release 1.1.0

  • Fix byte order inconsistency issue during deserialization using joblib.load

... (truncated)

Commits
  • 5991350 Release 1.2.0
  • 3fa2188 MAINT cleanup numpy warnings related to np.matrix in tests (#1340)
  • cea26ff CI test the future loky-3.3.0 branch (#1338)
  • 8aca6f4 MAINT: remove pytest.warns(None) warnings in pytest 7 (#1264)
  • 067ed4f XFAIL test_child_raises_parent_exits_cleanly with multiprocessing (#1339)
  • ac4ebd5 MAINT add back pytest warnings plugin (#1337)
  • a23427d Test child raises parent exits cleanly more reliable on macos (#1335)
  • ac09691 [MAINT] various test updates (#1334)
  • 4a314b1 Vendor loky 3.2.0 (#1333)
  • bdf47e9 Make test_parallel_with_interactively_defined_functions_default_backend timeo...
  • Additional commits viewable in compare view

Updates lxml from 4.6.5 to 4.9.1

Changelog

Sourced from lxml's changelog.

4.9.1 (2022-07-01)

Bugs fixed

  • A crash was resolved when using iterwalk() (or canonicalize()) after parsing certain incorrect input. Note that iterwalk() can crash on valid input parsed with the same parser after failing to parse the incorrect input.

4.9.0 (2022-06-01)

Bugs fixed

  • GH#341: The mixin inheritance order in lxml.html was corrected. Patch by xmo-odoo.

Other changes

  • Built with Cython 0.29.30 to adapt to changes in Python 3.11 and 3.12.

  • Wheels include zlib 1.2.12, libxml2 2.9.14 and libxslt 1.1.35 (libxml2 2.9.12+ and libxslt 1.1.34 on Windows).

  • GH#343: Windows-AArch64 build support in Visual Studio. Patch by Steve Dower.

4.8.0 (2022-02-17)

Features added

  • GH#337: Path-like objects are now supported throughout the API instead of just strings. Patch by Henning Janssen.

  • The ElementMaker now supports QName values as tags, which always override the default namespace of the factory.

Bugs fixed

  • GH#338: In lxml.objectify, the XSI float annotation "nan" and "inf" were spelled in lower case, whereas XML Schema datatypes define them as "NaN" and "INF" respectively.

... (truncated)

Commits
  • d01872c Prevent parse failure in new test from leaking into later test runs.
  • d65e632 Prepare release of lxml 4.9.1.
  • 86368e9 Fix a crash when incorrect parser input occurs together with usages of iterwa...
  • 50c2764 Delete unused Travis CI config and reference in docs (GH-345)
  • 8f0bf2d Try to speed up the musllinux AArch64 build by splitting the different CPytho...
  • b9f7074 Remove debug print from test.
  • b224e0f Try to install 'xz' in wheel builds, if available, since it's now needed to e...
  • 897ebfa Update macOS deployment target version from 10.14 to 10.15 since 10.14 starts...
  • 853c9e9 Prepare release of 4.9.0.
  • d3f77e6 Add a test for https://bugs.launchpad.net/lxml/+bug/1965070 leaving out the a...
  • Additional commits viewable in compare view

Updates numpy from 1.21.0 to 1.22.0

Release notes

Sourced from numpy's releases.

v1.22.0

NumPy 1.22.0 Release Notes

NumPy 1.22.0 is a big release featuring the work of 153 contributors spread over 609 pull requests. There have been many improvements, highlights are:

  • Annotations of the main namespace are essentially complete. Upstream is a moving target, so there will likely be further improvements, but the major work is done. This is probably the most user visible enhancement in this release.
  • A preliminary version of the proposed Array-API is provided. This is a step in creating a standard collection of functions that can be used across application such as CuPy and JAX.
  • NumPy now has a DLPack backend. DLPack provides a common interchange format for array (tensor) data.
  • New methods for quantile, percentile, and related functions. The new methods provide a complete set of the methods commonly found in the literature.
  • A new configurable allocator for use by downstream projects.

These are in addition to the ongoing work to provide SIMD support for commonly used functions, improvements to F2PY, and better documentation.

The Python versions supported in this release are 3.8-3.10, Python 3.7 has been dropped. Note that 32 bit wheels are only provided for Python 3.8 and 3.9 on Windows, all other wheels are 64 bits on account of Ubuntu, Fedora, and other Linux distributions dropping 32 bit support. All 64 bit wheels are also linked with 64 bit integer OpenBLAS, which should fix the occasional problems encountered by folks using truly huge arrays.

Expired deprecations

Deprecated numeric style dtype strings have been removed

Using the strings "Bytes0", "Datetime64", "Str0", "Uint32", and "Uint64" as a dtype will now raise a TypeError.

(gh-19539)

Expired deprecations for loads, ndfromtxt, and mafromtxt in npyio

numpy.loads was deprecated in v1.15, with the recommendation that users use pickle.loads instead. ndfromtxt and mafromtxt were both deprecated in v1.17 - users should use numpy.genfromtxt instead with the appropriate value for the usemask parameter.

(gh-19615)

... (truncated)

Commits

Updates pillow from 10.0.1 to 10.3.0

Release notes

Sourced from pillow's releases.

10.3.0

https://pillow.readthedocs.io/en/stable/releasenotes/10.3.0.html

Changes

... (truncated)

Changelog

Sourced from pillow's changelog.

10.3.0 (2024-04-01)

  • CVE-2024-28219: Use strncpy to avoid buffer overflow #7928 [radarhere, hugovk]

  • Deprecate eval(), replacing it with lambda_eval() and unsafe_eval() #7927 [radarhere, hugovk]

  • Raise ValueError if seeking to greater than offset-sized integer in TIFF #7883 [radarhere]

  • Add --report argument to __main__.py to omit supported formats #7818 [nulano, radarhere, hugovk]

  • Added RGB to I;16, I;16L, I;16B and I;16N conversion #7918, #7920 [radarhere]

  • Fix editable installation with custom build backend and configuration options #7658 [nulano, radarhere]

  • Fix putdata() for I;16N on big-endian #7209 [Yay295, hugovk, radarhere]

  • Determine MPO size from markers, not EXIF data #7884 [radarhere]

  • Improved conversion from RGB to RGBa, LA and La #7888 [radarhere]

  • Support FITS images with GZIP_1 compression #7894 [radarhere]

  • Use I;16 mode for 9-bit JPEG 2000 images #7900 [scaramallion, radarhere]

  • Raise ValueError if kmeans is negative #7891 [radarhere]

  • Remove TIFF tag OSUBFILETYPE when saving using libtiff #7893 [radarhere]

  • Raise ValueError for negative values when loading P1-P3 PPM images #7882 [radarhere]

  • Added reading of JPEG2000 palettes #7870 [radarhere]

  • Added alpha_quality argument when saving WebP images #7872 [radarhere]

... (truncated)

Commits
  • 5c89d88 10.3.0 version bump
  • 63cbfcf Update CHANGES.rst [ci skip]
  • 2776126 Merge pull request #7928 from python-pillow/lcms
  • aeb51cb Merge branch 'main' into lcms
  • 5beb0b6 Update CHANGES.rst [ci skip]
  • cac6ffa Merge pull request #7927 from python-pillow/imagemath
  • f5eeeac Name as 'options' in lambda_eval and unsafe_eval, but '_dict' in deprecated eval
  • facf3af Added release notes
  • 2a93aba Use strncpy to avoid buffer overflow
  • a670597 Update CHANGES.rst [ci skip]
  • Additional commits viewable in compare view

Updates requests from 2.25.1 to 2.31.0

Release notes

Sourced from requests's releases.

v2.31.0

2.31.0 (2023-05-22)

Security

  • Versions of Requests between v2.3.0 and v2.30.0 are vulnerable to potential forwarding of Proxy-Authorization headers to destination servers when following HTTPS redirects.

    When proxies are defined with user info (https://user:pass@proxy:8080), Requests will construct a Proxy-Authorization header that is attached to the request to authenticate with the proxy.

    In cases where Requests receives a redirect response, it previously reattached the Proxy-Authorization header incorrectly, resulting in the value being sent through the tunneled connection to the destination server. Users who rely on defining their proxy credentials in the URL are strongly encouraged to upgrade to Requests 2.31.0+ to prevent unintentional leakage and rotate their proxy credentials once the change has been fully deployed.

    Users who do not use a proxy or do not supply their proxy credentials through the user information portion of their proxy URL are not subject to this vulnerability.

    Full details can be read in our Github Security Advisory and CVE-2023-32681.

v2.30.0

2.30.0 (2023-05-03)

Dependencies

v2.29.0

2.29.0 (2023-04-26)

Improvements

  • Requests now defers chunked requests to the urllib3 implementation to improve standardization. (#6226)
  • Requests relaxes header component requirements to support bytes/str subclasses. (#6356)

... (truncated)

Changelog

Sourced from requests's changelog.

2.31.0 (2023-05-22)

Security

  • Versions of Requests between v2.3.0 and v2.30.0 are vulnerable to potential forwarding of Proxy-Authorization headers to destination servers when following HTTPS redirects.

    When proxies are defined with user info (https://user:pass@proxy:8080), Requests will construct a Proxy-Authorization header that is attached to the request to authenticate with the proxy.

    In cases where Requests receives a redirect response, it previously reattached the Proxy-Authorization header incorrectly, resulting in the value being sent through the tunneled connection to the destination server. Users who rely on defining their proxy credentials in the URL are strongly encouraged to upgrade to Requests 2.31.0+ to prevent unintentional leakage and rotate their proxy credentials once the change has been fully deployed.

    Users who do not use a proxy or do not supply their proxy credentials through the user information portion of their proxy URL are not subject to this vulnerability.

    Full details can be read in our Github Security Advisory and CVE-2023-32681.

2.30.0 (2023-05-03)

Dependencies

2.29.0 (2023-04-26)

Improvements

  • Requests now defers chunked requests to the urllib3 implementation to improve standardization. (#6226)
  • Requests relaxes header component requirements to support bytes/str subclasses. (#6356)

2.28.2 (2023-01-12)

... (truncated)

Commits

Updates scikit-learn from 0.23.2 to 1.0.1

Release notes

Sourced from scikit-learn's releases.

scikit-learn 1.0.1

We're happy to announce the 1.0.1 release with several bugfixes:

You can see the changelog here: https://scikit-learn.org/dev/whats_new/v1.0.html#version-1-0-1

You can upgrade with pip as usual:

pip install -U scikit-learn

The conda-forge builds will be available shortly, which you can then install using:

conda install -c conda-forge scikit-learn

scikit-learn 1.0

We're happy to announce the 1.0 release. You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_0_0.html and the long version of the change log under https://scikit-learn.org/stable/whats_new/v1.0.html#changes-1-0

This version supports Python versions 3.7 to 3.9.

scikit-learn 0.24.2

We're happy to announce the 0.24.2 release with several bugfixes:

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v0.24.html#version-0-24-2

You can upgrade with pip as usual:

pip install -U scikit-learn

The conda-forge builds will be available shortly, which you can then install using:

conda install -c conda-forge scikit-learn

scikit-learn 0.24.1

We're happy to announce the 0.24.1 release with several bugfixes:

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v0.24.html#version-0-24-1

You can upgrade with pip as usual:

pip install -U scikit-learn

The conda-forge builds will be available shortly, which you can then install using:

conda install -c conda-forge scikit-learn

scikit-learn 0.24.0

We're happy to announce the 0.24 release. You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_0_24_0.html and the long version of the change log under https://scikit-learn.org/stable/whats_new/v0.24.html#version-0-24-0

... (truncated)

Commits
  • 0d37891 Trigger wheel builder workflow: [cd build]
  • 7737cb9 DOC update the News section in website (#21417)
  • 8971a19 DOC Ensures that MultiTaskElasticNetCV passes numpydoc validation (#21405)
  • d6e24ee DOC Ensures that LabelSpreading passes numpydoc validation (#21414)
  • 14fda2f DOC Ensures that PassiveAggressiveRegressor passes numpydoc validation (#21413)
  • 112ae4e DOC Ensures that OrthogonalMatchingPursuitCV passes numpydoc validation (#21412)
  • cd927c0 FIX delete feature_names_in_ when refitting on a ndarray (#21389)
  • ae223ee bumpversion to 1.0.1
  • 9227162 MNT remove 1.1 changelog due to rebase conflict
  • 5d75547 MNT fix changelog 1.0.1 (#21416)
  • Additional commits viewable in compare view

Updates scipy from 1.6.1 to 1.11.1

Release notes

Sourced from scipy's releases.

SciPy 1.11.1 Release Notes

SciPy 1.11.1 is a bug-fix release with no new features compared to 1.11.0. In particular, a licensing issue discovered after the release of 1.11.0 has been addressed.

Authors

  • Name (commits)
  • h-vetinari (1)
  • Robert Kern (1)
  • Ilhan Polat (4)
  • Tyler Reddy (8)

A total of 4 people contributed to this release. People with a "+" by their names contributed a patch for the first time. This list of names is automatically generated, and may not be fully complete.

SciPy 1.11.0 Release Notes

SciPy 1.11.0 is the culmination of 6 months of hard work. It contains many new features, numerous bug-fixes, improved test coverage and better documentation. There have been a number of deprecations and API changes in this release, which are documented below. All users are encouraged to upgrade to this release, as there are a large number of bug-fixes and optimizations. Before upgrading, we recommend that users check that their own code does not use deprecated SciPy functionality (to do so, run your code with python -Wd and check for DeprecationWarning s). Our development attention will now shift to bug-fix releases on the 1.11.x branch, and on adding new features on the main branch.

This release requires Python 3.9+ and NumPy 1.21.6 or greater.

For running on PyPy, PyPy3 6.0+ is required.

Highlights of this release

  • Several scipy.sparse array API improvements, including sparse.sparray, a new public base class distinct from the older sparse.spmatrix class, proper 64-bit index support, and numerous deprecations paving the way to a modern sparse array experience.
  • scipy.stats added tools for survival analysis, multiple hypothesis testing, sensitivity analysis, and working with censored data.

... (truncated)

Commits
  • cfe8011 REL: 1.11.1 rel commit [wheel build]
  • 450d8aa Merge pull request #18779 from tylerjereddy/treddy_1_11_1_prep
  • 6f942e8 DOC: update 1.11.1 relnotes
  • 145cec5 MAINT: fix unuran licensing
  • 0760bab MAINT:linalg.det:Return scalars for singleton inputs (#18763)
  • a1c6f99 MAINT:linalg:Use only NumPy types in lu
  • 5cdc2fe MAINT:linalg:Remove memcpy from lu
  • d9ac3f3 FIX:linalg:Guard against possible permute_l out of bound behavior
  • Description has been truncated

@dependabot
Bump the pip group across 1 directory with 10 updates
ca2bff2 
Bumps the pip group with 10 updates in the /backend directory:

| Package | From | To |
| --- | --- | --- |
| [certifi](https://github.com/certifi/python-certifi) | `2020.12.5` | `2023.7.22` |
| [flask](https://github.com/pallets/flask) | `1.1.2` | `2.2.5` |
| [jinja2](https://github.com/pallets/jinja) | `2.11.3` | `3.1.3` |
| [joblib](https://github.com/joblib/joblib) | `1.0.1` | `1.2.0` |
| [lxml](https://github.com/lxml/lxml) | `4.6.5` | `4.9.1` |
| [numpy](https://github.com/numpy/numpy) | `1.21.0` | `1.22.0` |
| [pillow](https://github.com/python-pillow/Pillow) | `10.0.1` | `10.3.0` |
| [requests](https://github.com/psf/requests) | `2.25.1` | `2.31.0` |
| [scikit-learn](https://github.com/scikit-learn/scikit-learn) | `0.23.2` | `1.0.1` |
| [scipy](https://github.com/scipy/scipy) | `1.6.1` | `1.11.1` |


Updates `certifi` from 2020.12.5 to 2023.7.22
- [Commits](certifi/python-certifi@2020.12.05...2023.07.22)

Updates `flask` from 1.1.2 to 2.2.5
- [Release notes](https://github.com/pallets/flask/releases)
- [Changelog](https://github.com/pallets/flask/blob/main/CHANGES.rst)
- [Commits](pallets/flask@1.1.2...2.2.5)

Updates `jinja2` from 2.11.3 to 3.1.3
- [Release notes](https://github.com/pallets/jinja/releases)
- [Changelog](https://github.com/pallets/jinja/blob/main/CHANGES.rst)
- [Commits](pallets/jinja@2.11.3...3.1.3)

Updates `joblib` from 1.0.1 to 1.2.0
- [Release notes](https://github.com/joblib/joblib/releases)
- [Changelog](https://github.com/joblib/joblib/blob/main/CHANGES.rst)
- [Commits](joblib/joblib@1.0.1...1.2.0)

Updates `lxml` from 4.6.5 to 4.9.1
- [Release notes](https://github.com/lxml/lxml/releases)
- [Changelog](https://github.com/lxml/lxml/blob/master/CHANGES.txt)
- [Commits](lxml/lxml@lxml-4.6.5...lxml-4.9.1)

Updates `numpy` from 1.21.0 to 1.22.0
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/RELEASE_WALKTHROUGH.rst)
- [Commits](numpy/numpy@v1.21.0...v1.22.0)

Updates `pillow` from 10.0.1 to 10.3.0
- [Release notes](https://github.com/python-pillow/Pillow/releases)
- [Changelog](https://github.com/python-pillow/Pillow/blob/main/CHANGES.rst)
- [Commits](python-pillow/Pillow@10.0.1...10.3.0)

Updates `requests` from 2.25.1 to 2.31.0
- [Release notes](https://github.com/psf/requests/releases)
- [Changelog](https://github.com/psf/requests/blob/main/HISTORY.md)
- [Commits](psf/requests@v2.25.1...v2.31.0)

Updates `scikit-learn` from 0.23.2 to 1.0.1
- [Release notes](https://github.com/scikit-learn/scikit-learn/releases)
- [Commits](scikit-learn/scikit-learn@0.23.2...1.0.1)

Updates `scipy` from 1.6.1 to 1.11.1
- [Release notes](https://github.com/scipy/scipy/releases)
- [Commits](scipy/scipy@v1.6.1...v1.11.1)

---
updated-dependencies:
- dependency-name: certifi
  dependency-type: direct:production
  dependency-group: pip-security-group
- dependency-name: flask
  dependency-type: direct:production
  dependency-group: pip-security-group
- dependency-name: jinja2
  dependency-type: direct:production
  dependency-group: pip-security-group
- dependency-name: joblib
  dependency-type: direct:production
  dependency-group: pip-security-group
- dependency-name: lxml
  dependency-type: direct:production
  dependency-group: pip-security-group
- dependency-name: numpy
  dependency-type: direct:production
  dependency-group: pip-security-group
- dependency-name: pillow
  dependency-type: direct:production
  dependency-group: pip-security-group
- dependency-name: requests
  dependency-type: direct:production
  dependency-group: pip-security-group
- dependency-name: scikit-learn
  dependency-type: direct:production
  dependency-group: pip-security-group
- dependency-name: scipy
  dependency-type: direct:production
  dependency-group: pip-security-group
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update Python code labels Apr 3, 2024
@dependabot dependabot bot mentioned this pull request Apr 3, 2024
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