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Bump the pip group across 2 directories with 11 updates #4

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@dependabot dependabot bot commented on behalf of github Apr 11, 2024

Bumps the pip group with 3 updates in the /advanced-analytics/data-pipelines/investor-risk-preferences/data directory: numpy, scikit-learn and scipy.
Bumps the pip group with 11 updates in the /advanced-analytics/recommendation-engine directory:

Package From To
numpy 1.20.3 1.22.0
scikit-learn 0.24.2 1.0.1
scipy 1.6.3 1.11.1
certifi 2020.12.5 2023.7.22
grpcio 1.37.1 1.53.2
idna 2.10 3.7
joblib 1.0.1 1.2.0
protobuf 3.17.0 3.18.3
requests 2.25.1 2.31.0
urllib3 1.26.4 1.26.18
flask 2.0.0 2.2.5

Updates numpy from 1.20.2 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 scikit-learn from 0.24.1 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
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 1.6.2 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
  • 7ec5010 BUG: fix handling for factorial(..., exact=False) for 0-dim array inputs (#...
  • 90415c6 BUG: Fix work array construction for various weight shapes. (#18741)
  • Additional commits viewable in compare view

Updates numpy from 1.20.3 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 scikit-learn from 0.24.2 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
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 1.6.3 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
  • 7ec5010 BUG: fix handling for factorial(..., exact=False) for 0-dim array inputs (#...
  • 90415c6 BUG: Fix work array construction for various weight shapes. (#18741)
  • Additional commits viewable in compare view

Updates certifi from 2020.12.5 to 2023.7.22

Commits

Updates grpcio from 1.37.1 to 1.53.2

Release notes

Sourced from grpcio's releases.

Release v1.53.2

This is release gRPC Core 1.53.2 (glockenspiel).

For gRPC documentation, see grpc.io. For previous releases, see Releases.

This release contains refinements, improvements, and bug fixes.

Core

Release v1.53.1

This is release gRPC Core 1.53.1 (glockenspiel).

For gRPC documentation, see grpc.io. For previous releases, see Releases.

This release contains refinements, improvements, and bug fixes.

Release v1.53.0

This is release 1.53.0 (glockenspiel) of gRPC Core.

For gRPC documentation, see grpc.io. For previous releases, see Releases.

This release contains refinements, improvements, and bug fixes, with highlights listed below.

Core

  • xDS: fix crash when removing the last endpoint from the last locality in weighted_target. (#32592)
  • filter stack: pass peer name up via recv_initial_metadata batch. (#31933)
  • [EventEngine] Add advice against blocking work in callbacks. (#32397)
  • [http2] Dont drop connections on metadata limit exceeded. (#32309)
  • xDS: reject aggregate cluster with empty cluster list. (#32238)
  • Fix Python epoll1 Fork Support. (#32196)
  • server: introduce ServerMetricRecorder API and move per-call reporting from a C++ interceptor to a C-core filter. (#32106)
  • [EventEngine] Add invalid handle types to the public API. (#32202)
  • [EventEngine] Refactoring the EventEngine Test Suite: Part 1. (#32127)
  • xDS: fix WeightedClusters total weight handling. (#32134)

C++

  • Update minimum MSVC version to 2019. (#32615)
  • Use CMake variables for paths in pkg-config files. (#31671)

... (truncated)

Changelog

Sourced from grpcio's changelog.

gRPC Release Schedule

Below is the release schedule for gRPC Java, Go and Core and its dependent languages C++, C#, Objective-C, PHP, Python and Ruby.

Releases are scheduled every six weeks on Tuesdays on a best effort basis. In some unavoidable situations a release may be delayed or released early or a language may skip a release altogether and do the next release to catch up with other languages. See the past releases in the links above. A six-week cycle gives us a good balance between delivering new features/fixes quickly and keeping the release overhead low.

The gRPC release support policy can be found here.

Releases are cut from release branches. For Core and Java repos, the release branch is cut two weeks before the scheduled release date. For Go, the branch is cut just before the release. An RC (release candidate) is published for Core and its dependent languages just after the branch cut. This RC is later promoted to release version if no further changes are made to the release branch. We do our best to keep head of master branch stable at all times regardless of release schedule. Daily build packages from master branch for C#, PHP, Python, Ruby and Protoc plugins are published on packages.grpc.io. If you depend on gRPC in production we recommend to set up your CI system to test the RCs and, if possible, the daily builds.

Names of gRPC releases are here.

Release Scheduled Branch Cut Scheduled Release Date
v1.17.0 Nov 19, 2018 Dec 4, 2018
v1.18.0 Jan 2, 2019 Jan 15, 2019
v1.19.0 Feb 12, 2019 Feb 26, 2019
v1.20.0 Mar 26, 2019 Apr 9, 2019
v1.21.0 May 7, 2019 May 21, 2019
v1.22.0 Jun 18, 2019 Jul 2, 2019
v1.23.0 Jul 30, 2019 Aug 13, 2019
v1.24.0 Sept 10, 2019 Sept 24, 2019
v1.25.0 Oct 22, 2019 Nov 5, 2019
v1.26.0 Dec 3, 2019 Dec 17, 2019
v1.27.0 Jan 14, 2020 Jan 28, 2020
v1.28.0 Feb 25, 2020 Mar 10, 2020
v1.29.0 Apr 7, 2020 Apr 21, 2020
v1.30.0 May 19, 2020 Jun 2, 2020
v1.31.0 Jul 14, 2020 Jul 28, 2020
v1.32.0 Aug 25, 2020 Sep 8, 2020
v1.33.0 Oct 6, 2020 Oct 20, 2020
v1.34.0 Nov 17, 2020 Dec 1, 2020
v1.35.0 Dec 29, 2020 Jan 12, 2021
v1.36.0 Feb 9, 2021 Feb 23, 2021
v1.37.0 Mar 23, 2021 Apr 6, 2021
v1.38.0 May 4, 2021 May 18, 2021
v1.39.0 Jun 15, 2021 Jun 29, 2021
v1.40.0 Jul 27, 2021 Aug 10, 2021
v1.41.0 Sep 7, 2021 Sep 21, 2021
v1.42.0 Oct 19, 2021 Nov 2, 2021
v1.43.0 Nov 30, 2021 Dec 14, 2021
v1.44.0 Jan 11, 2022 Jan 25, 2022
v1.45.0 Feb 22, 2022 Mar 8, 2022
Commits
  • afb307f [v1.53.x][Interop] Backport Python image update (#33864)
  • 7a9373b [Backport] [dependency] Restrict cython to less than 3.X (#33770)
  • fdb64a6 [v1.53][Build] Update Phusion baseimage (#33767) (#33836)
  • cdf4186 [PSM Interop] Legacy tests: fix xDS test client build (v1.53.x backport) (#33...
  • ce5b93a [PSM Interop] Legacy test builds always pull the driver from master (v1.53.x ...
  • b24b6ea [release] Bump release version to 1.53.2 (#33709)
  • 1e86ca5 [backport][iomgr][EventEngine] Improve server handling of file descriptor exh...
  • aff3066 [PSM interop] Don't fail url_map target if sub-target already failed (v1.53.x...
  • 539d75c [PSM interop] Don't fail target if sub-target already failed (#33222) (v1.53....
  • 3e79c88 [Release] Bump version to 1.53.1 (on v1.53.x branch) (#33047)
  • Additional commits viewable in compare view

Updates idna from 2.10 to 3.7

Release notes

Sourced from idna's releases.

v3.7

What's Changed

  • Fix issue where specially crafted inputs to encode() could take exceptionally long amount of time to process. [CVE-2024-3651]

Thanks to Guido Vranken for reporting the issue.

Full Changelog: kjd/idna@v3.6...v3.7

Changelog

Sourced from idna's changelog.

3.7 (2024-04-11) ++++++++++++++++

  • Fix issue where specially crafted inputs to encode() could take exceptionally long amount of time to process. [CVE-2024-3651]

Thanks to Guido Vranken for reporting the issue.

3.6 (2023-11-25) ++++++++++++++++

  • Fix regression to include tests in source distribution.

3.5 (2023-11-24) ++++++++++++++++

  • Update to Unicode 15.1.0
  • String codec name is now "idna2008" as overriding the system codec "idna" was not working.
  • Fix typing error for codec encoding
  • "setup.cfg" has been added for this release due to some downstream lack of adherence to PEP 517. Should be removed in a future release so please prepare accordingly.
  • Removed reliance on a symlink for the "idna-data" tool to comport with PEP 517 and the Python Packaging User Guide for sdist archives.
  • Added security reporting protocol for project

Thanks Jon Ribbens, Diogo Teles Sant'Anna, Wu Tingfeng for contributions to this release.

3.4 (2022-09-14) ++++++++++++++++

  • Update to Unicode 15.0.0
  • Migrate to pyproject.toml for build information (PEP 621)
  • Correct another instance where generic exception was raised instead of IDNAError for malformed input
  • Source distribution uses zeroized file ownership for improved reproducibility

Thanks to Seth Michael Larson for contributions to this release.

3.3 (2021-10-13) ++++++++++++++++

  • Update to Unicode 14.0.0
  • Update to in-line type annotations
  • Throw IDNAError exception correctly for some malformed input
  • Advertise support for Python 3.10
  • Improve testing regime on Github

... (truncated)

Commits
  • 1d365e1 Release v3.7
  • c1b3154 Merge pull request #172 from kjd/optimize-contextj
  • 0394ec7 Merge branch 'master' into optimize-contextj
  • cd58a23 Merge pull request #152 from elliotwutingfeng/dev
  • 5beb28b More efficient resolution of joiner contexts
  • 1b12148 Update ossf/scorecard-action to v2.3.1
  • d516b87 Update Github actions/checkout to v4
  • c095c75 Merge branch 'master' into dev
  • 60a0a4c Fix typo in GitHub Actions workflow key
  • 5918a0e Merge branch 'master' into dev
  • Additional commits viewable in compare view

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 protobuf from 3.17.0 to 3.18.3

Release notes

Sourced from protobuf's releases.

Protocol Buffers v3.18.3

C++

Protocol Buffers v3.18.2

Java

  • Improve performance characteristics of UnknownFieldSet parsing (#9371)

Protocol Buffers v3.18.1

Python

  • Update setup.py to reflect that we now require at least Python 3.5 (#8989)
  • Performance fix for DynamicMessage: force GetRaw() to be inlined (#9023)

Ruby

  • Update ruby_generator.cc to allow proto2 imports in proto3 (#9003)

Protocol Buffers v3.18.0

C++

  • Fix warnings raised by clang 11 (#8664)
  • Make StringPiece constructible from std::string_view (#8707)
  • Add missing capability attributes for LLVM 12 (#8714)
  • Stop using std::iterator (deprecated in C++17). (#8741)
  • Move field_access_listener from libprotobuf-lite to libprotobuf (#8775)
  • Fix #7047 Safely handle setlocale (#8735)
  • Remove deprecated version of SetTotalBytesLimit() (#8794)
  • Support arena allocation of google::protobuf::AnyMetadata (#8758)
  • Fix undefined symbol error around SharedCtor() (#8827)
  • Fix default value of enum(int) in json_util with proto2 (#8835)
  • Better Smaller ByteSizeLong
  • Introduce event filters for inject_field_listener_events
  • Reduce memory usage of DescriptorPool
  • For lazy fields copy serialized form when allowed.
  • Re-introduce the InlinedStringField class
  • v2 access listener
  • Reduce padding in the proto's ExtensionRegistry map.
  • GetExtension performance optimizations
  • Make tracker a static variable rather than call static functions
  • Support extensions in field access listener
  • Annotate MergeFrom for field access listener
  • Fix incomplete types for field access listener
  • Add map_entry/new_map_entry to SpecificField in MessageDifferencer. They record the map items which are different in MessageDifferencer's reporter.
  • Reduce binary size due to fieldless proto messages
  • TextFormat: ParseInfoTree supports getting field end location in addition to start.
  • Fix repeated enum extension size in field listener
  • Enable Any Text Expansion for Descriptors::DebugString()
  • Switch from int{8,16,32,64} to int{8,16,32,64}_t

... (truncated)

Commits

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 urllib3 from 1.26.4 to 1.26.18

Release notes

Sourced from urllib3's releases.

1.26.18

  • Made body stripped from HTTP requests changing the request method to GET after HTTP 303 "See Other&quo...

    Description has been truncated

@dependabot
Bump the pip group across 2 directories with 11 updates
1263947 
Bumps the pip group with 3 updates in the /advanced-analytics/data-pipelines/investor-risk-preferences/data directory: [numpy](https://github.com/numpy/numpy), [scikit-learn](https://github.com/scikit-learn/scikit-learn) and [scipy](https://github.com/scipy/scipy).
Bumps the pip group with 11 updates in the /advanced-analytics/recommendation-engine directory:

| Package | From | To |
| --- | --- | --- |
| [numpy](https://github.com/numpy/numpy) | `1.20.3` | `1.22.0` |
| [scikit-learn](https://github.com/scikit-learn/scikit-learn) | `0.24.2` | `1.0.1` |
| [scipy](https://github.com/scipy/scipy) | `1.6.3` | `1.11.1` |
| [certifi](https://github.com/certifi/python-certifi) | `2020.12.5` | `2023.7.22` |
| [grpcio](https://github.com/grpc/grpc) | `1.37.1` | `1.53.2` |
| [idna](https://github.com/kjd/idna) | `2.10` | `3.7` |
| [joblib](https://github.com/joblib/joblib) | `1.0.1` | `1.2.0` |
| [protobuf](https://github.com/protocolbuffers/protobuf) | `3.17.0` | `3.18.3` |
| [requests](https://github.com/psf/requests) | `2.25.1` | `2.31.0` |
| [urllib3](https://github.com/urllib3/urllib3) | `1.26.4` | `1.26.18` |
| [flask](https://github.com/pallets/flask) | `2.0.0` | `2.2.5` |



Updates `numpy` from 1.20.2 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@v1.20.2...v1.22.0)

Updates `scikit-learn` from 0.24.1 to 1.0.1
- [Release notes](https://github.com/scikit-learn/scikit-learn/releases)
- [Commits](scikit-learn/scikit-learn@0.24.1...1.0.1)

Updates `scipy` from 1.6.2 to 1.11.1
- [Release notes](https://github.com/scipy/scipy/releases)
- [Commits](scipy/scipy@v1.6.2...v1.11.1)

Updates `numpy` from 1.20.3 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@v1.20.2...v1.22.0)

Updates `scikit-learn` from 0.24.2 to 1.0.1
- [Release notes](https://github.com/scikit-learn/scikit-learn/releases)
- [Commits](scikit-learn/scikit-learn@0.24.1...1.0.1)

Updates `scipy` from 1.6.3 to 1.11.1
- [Release notes](https://github.com/scipy/scipy/releases)
- [Commits](scipy/scipy@v1.6.2...v1.11.1)

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

Updates `grpcio` from 1.37.1 to 1.53.2
- [Release notes](https://github.com/grpc/grpc/releases)
- [Changelog](https://github.com/grpc/grpc/blob/master/doc/grpc_release_schedule.md)
- [Commits](grpc/grpc@v1.37.1...v1.53.2)

Updates `idna` from 2.10 to 3.7
- [Release notes](https://github.com/kjd/idna/releases)
- [Changelog](https://github.com/kjd/idna/blob/master/HISTORY.rst)
- [Commits](kjd/idna@v2.10...v3.7)

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 `protobuf` from 3.17.0 to 3.18.3
- [Release notes](https://github.com/protocolbuffers/protobuf/releases)
- [Changelog](https://github.com/protocolbuffers/protobuf/blob/main/protobuf_release.bzl)
- [Commits](protocolbuffers/protobuf@v3.17.0...v3.18.3)

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 `urllib3` from 1.26.4 to 1.26.18
- [Release notes](https://github.com/urllib3/urllib3/releases)
- [Changelog](https://github.com/urllib3/urllib3/blob/main/CHANGES.rst)
- [Commits](urllib3/urllib3@1.26.4...1.26.18)

Updates `flask` from 2.0.0 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@2.0.0...2.2.5)

---
updated-dependencies:
- dependency-name: numpy
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: scikit-learn
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: scipy
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: numpy
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: scikit-learn
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: scipy
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: certifi
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: grpcio
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: idna
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: joblib
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: protobuf
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: requests
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: urllib3
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: flask
  dependency-type: direct:production
  dependency-group: pip
...

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 11, 2024
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