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Bump the pip group across 2 directories with 8 updates #17

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Bump the pip group across 2 directories with 8 updates #17

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Bumps the pip group with 3 updates in the /adaptive_learning_manager directory: tensorflow, flask and scikit-learn.
Bumps the pip group with 6 updates in the /example directory:

Package From To
flask 2.0.2 2.2.5
certifi 2021.10.8 2024.7.4
idna 3.3 3.7
jinja2 3.0.3 3.1.4
requests 2.26.0 2.32.2
werkzeug 2.0.2 3.0.3

Updates tensorflow from 2.5.2 to 2.12.1

Release notes

Sourced from tensorflow's releases.

TensorFlow 2.12.1

Release 2.12.1

Bug Fixes and Other Changes

  • The use of the ambe config to build and test aarch64 is not needed. The ambe config will be removed in the future. Making cpu_arm64_pip.sh and cpu_arm64_nonpip.sh more similar for easier future maintenance.

TensorFlow 2.12.0

Release 2.12.0

TensorFlow

Breaking Changes

  • Build, Compilation and Packaging

    • Removed redundant packages tensorflow-gpu and tf-nightly-gpu. These packages were removed and replaced with packages that direct users to switch to tensorflow or tf-nightly respectively. Since TensorFlow 2.1, the only difference between these two sets of packages was their names, so there is no loss of functionality or GPU support. See https://pypi.org/project/tensorflow-gpu for more details.

  • tf.function:

    • tf.function now uses the Python inspect library directly for parsing the signature of the Python function it is decorated on. This change may break code where the function signature is malformed, but was ignored previously, such as:
      • Using functools.wraps on a function with different signature
      • Using functools.partial with an invalid tf.function input
    • tf.function now enforces input parameter names to be valid Python identifiers. Incompatible names are automatically sanitized similarly to existing SavedModel signature behavior.
    • Parameterless tf.functions are assumed to have an empty input_signature instead of an undefined one even if the input_signature is unspecified.
    • tf.types.experimental.TraceType now requires an additional placeholder_value method to be defined.
    • tf.function now traces with placeholder values generated by TraceType instead of the value itself.

  • Experimental APIs tf.config.experimental.enable_mlir_graph_optimization and tf.config.experimental.disable_mlir_graph_optimization were removed.

Major Features and Improvements

  • Support for Python 3.11 has been added.

  • Support for Python 3.7 has been removed. We are not releasing any more patches for Python 3.7.

  • tf.lite:

    • Add 16-bit float type support for built-in op fill.
    • Transpose now supports 6D tensors.
    • Float LSTM now supports diagonal recurrent tensors: https://arxiv.org/abs/1903.08023

  • tf.experimental.dtensor:

    • Coordination service now works with dtensor.initialize_accelerator_system, and enabled by default.
    • Add tf.experimental.dtensor.is_dtensor to check if a tensor is a DTensor instance.

  • tf.data:

    • Added support for alternative checkpointing protocol which makes it possible to checkpoint the state of the input pipeline without having to store the contents of internal buffers. The new functionality can be enabled through the experimental_symbolic_checkpoint option of tf.data.Options().
    • Added a new rerandomize_each_iteration argument for the tf.data.Dataset.random() operation, which controls whether the sequence of generated random numbers should be re-randomized every epoch or not (the default behavior). If seed is set and rerandomize_each_iteration=True, the random() operation will produce a different (deterministic) sequence of numbers every epoch.

... (truncated)

Changelog

Sourced from tensorflow's changelog.

Release 2.12.1

Bug Fixes and Other Changes

  • The use of the ambe config to build and test aarch64 is not needed. The ambe config will be removed in the future. Making cpu_arm64_pip.sh and cpu_arm64_nonpip.sh more similar for easier future maintenance.

Release 2.12.0

Breaking Changes

  • Build, Compilation and Packaging

    • Removed redundant packages tensorflow-gpu and tf-nightly-gpu. These packages were removed and replaced with packages that direct users to switch to tensorflow or tf-nightly respectively. Since TensorFlow 2.1, the only difference between these two sets of packages was their names, so there is no loss of functionality or GPU support. See https://pypi.org/project/tensorflow-gpu for more details.

  • tf.function:

    • tf.function now uses the Python inspect library directly for parsing the signature of the Python function it is decorated on. This change may break code where the function signature is malformed, but was ignored previously, such as:
      • Using functools.wraps on a function with different signature
      • Using functools.partial with an invalid tf.function input
    • tf.function now enforces input parameter names to be valid Python identifiers. Incompatible names are automatically sanitized similarly to existing SavedModel signature behavior.
    • Parameterless tf.functions are assumed to have an empty input_signature instead of an undefined one even if the input_signature is unspecified.
    • tf.types.experimental.TraceType now requires an additional placeholder_value method to be defined.
    • tf.function now traces with placeholder values generated by TraceType instead of the value itself.

  • Experimental APIs tf.config.experimental.enable_mlir_graph_optimization and tf.config.experimental.disable_mlir_graph_optimization were removed.

Major Features and Improvements

  • Support for Python 3.11 has been added.

  • Support for Python 3.7 has been removed. We are not releasing any more patches for Python 3.7.

  • tf.lite:

    • Add 16-bit float type support for built-in op fill.
    • Transpose now supports 6D tensors.
    • Float LSTM now supports diagonal recurrent tensors: https://arxiv.org/abs/1903.08023

  • tf.experimental.dtensor:

    • Coordination service now works with dtensor.initialize_accelerator_system, and enabled by default.
    • Add tf.experimental.dtensor.is_dtensor to check if a tensor is a DTensor instance.

  • tf.data:

    • Added support for alternative checkpointing protocol which makes it possible to checkpoint the state of the input pipeline without having to store the contents of internal buffers. The new functionality can be enabled through the experimental_symbolic_checkpoint option of tf.data.Options().
    • Added a new rerandomize_each_iteration argument for the tf.data.Dataset.random() operation, which controls whether the sequence of generated random numbers should be re-randomized every epoch or not (the default behavior). If seed is set and rerandomize_each_iteration=True, the random() operation will produce a different (deterministic) sequence of numbers every epoch.
    • Added a new rerandomize_each_iteration argument for the tf.data.Dataset.sample_from_datasets() operation, which controls whether the sequence of generated random numbers used for sampling should be re-randomized every epoch or not. If seed is set and rerandomize_each_iteration=True, the sample_from_datasets() operation will use a different (deterministic) sequence of numbers every epoch.

  • tf.test:

... (truncated)

Commits
  • 8e2b665 Merge pull request #61094 from tensorflow/venkat-patch-444
  • 02478f0 Fix unit test failure caused by numpy update
  • 2cd9b41 Merge pull request #61082 from tensorflow/venkat-patch-333
  • 7995c95 Updating Simplified retry logic to DNS cache
  • 29479ed Merge pull request #60872 from tensorflow/r2.12-c45a6c0b1cb
  • e76a933 Simplified retry logic to DNS cache
  • 76addf7 Merge pull request #60850 from elfringham/non_pip_fix
  • 05987a8 [Linaro:ARM_CI] Fix permissions for running nonpip tests
  • 23724d2 Merge pull request #60842 from elfringham/r2.12
  • 496730b Limit typing_extensions to less than 4.6.0 until it works
  • Additional commits viewable in compare view

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 scikit-learn from 0.24.1 to 1.5.0

Release notes

Sourced from scikit-learn's releases.

Scikit-learn 1.5.0

We're happy to announce the 1.5.0 release.

You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_5_0.html and the long version of the change log under https://scikit-learn.org/stable/whats_new/v1.5.html

This version supports Python versions 3.9 to 3.12.

You can upgrade with pip as usual:

pip install -U scikit-learn

The conda-forge builds can be installed using:

conda install -c conda-forge scikit-learn

Scikit-learn 1.4.2

We're happy to announce the 1.4.2 release.

This release only includes support for numpy 2.

This version supports Python versions 3.9 to 3.12.

You can upgrade with pip as usual:

pip install -U scikit-learn

Scikit-learn 1.4.1.post1

We're happy to announce the 1.4.1.post1 release.

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.4.html#version-1-4-1-post1

This version supports Python versions 3.9 to 3.12.

You can upgrade with pip as usual:

pip install -U scikit-learn

The conda-forge builds can be installed using:

conda install -c conda-forge scikit-learn

... (truncated)

Commits

Updates flask from 2.0.2 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 certifi from 2021.10.8 to 2024.7.4

Commits

Updates idna from 3.3 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.

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 jinja2 from 3.0.3 to 3.1.4

Release notes

Sourced from jinja2's releases.

3.1.4

This is the Jinja 3.1.4 security release, which fixes security issues and bugs but does not otherwise change behavior and should not result in breaking changes.

PyPI: https://pypi.org/project/Jinja2/3.1.4/ Changes: https://jinja.palletsprojects.com/en/3.1.x/changes/#version-3-1-4

  • The xmlattr filter does not allow keys with / solidus, > greater-than sign, or = equals sign, in addition to disallowing spaces. Regardless of any validation done by Jinja, user input should never be used as keys to this filter, or must be separately validated first. GHSA-h75v-3vvj-5mfj

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.

Changelog

Sourced from jinja2's changelog.

Version 3.1.4

Released 2024-05-05

  • The xmlattr filter does not allow keys with / solidus, > greater-than sign, or = equals sign, in addition to disallowing spaces. Regardless of any validation done by Jinja, user input should never be used as keys to this filter, or must be separately validated first. :ghsa:h75v-3vvj-5mfj

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

... (truncated)

Commits

Updates requests from 2.26.0 to 2.32.2

Release notes

Sourced from requests's releases.

v2.32.2

2.32.2 (2024-05-21)

Deprecations

  • To provide a more stable migration for custom HTTPAdapters impacted by the CVE changes in 2.32.0, we've renamed _get_connection to a new public API, get_connection_with_tls_context. Existing custom HTTPAdapters will need to migrate their code to use this new API. get_connection is considered deprecated in all versions of Requests>=2.32.0.

    A minimal (2-line) example has been provided in the linked PR to ease migration, but we strongly urge users to evaluate if their custom adapter is subject to the same issue described in CVE-2024-35195. (#6710)

v2.32.1

2.32.1 (2024-05-20)

Bugfixes

  • Add missing test certs to the sdist distributed on PyPI.

v2.32.0

2.32.0 (2024-05-20)

🐍 PYCON US 2024 EDITION 🐍

Security

  • Fixed an issue where setting verify=False on the first request from a Session will cause subsequent requests to the same origin to also ignore cert verification, regardless of the value of verify. (GHSA-9wx4-h78v-vm56)

Improvements

  • verify=True now reuses a global SSLContext which should improve request time variance between first and subsequent requests. It should also minimize certificate load time on Windows systems when using a Python version built with OpenSSL 3.x. (#6667)
  • Requests now supports optional use of character detection (chardet or charset_normalizer) when repackaged or vendored. This enables pip and other projects to minimize their vendoring surface area. The Response.text() and apparent_encoding APIs will default to utf-8 if neither library is present. (#6702)

Bugfixes

  • Fixed bug in length detection where emoji length was incorrectly calculated in the request content-length. (#6589)
  • Fixed deserialization bug in JSONDecodeError. (#6629)
  • Fixed bug where an extra leading / (path separator) could lead urllib3 to unnecessarily reparse the request URI. (#6644)

... (truncated)

Changelog

Sourced from requests's changelog.

2.32.2 (2024-05-21)

Deprecations

  • To provide a more stable migration for custom HTTPAdapters impacted by the CVE changes in 2.32.0, we've renamed _get_connection to a new public API, get_connection_with_tls_context. Existing custom HTTPAdapters will need to migrate their code to use this new API. get_connection is considered deprecated in all versions of Requests>=2.32.0.

    A minimal (2-line) example has been provided in the linked PR to ease migration, but we strongly urge users to evaluate if their custom adapter is subject to the same issue described in CVE-2024-35195. (#6710)

2.32.1 (2024-05-20)

Bugfixes

  • Add missing test certs to the sdist distributed on PyPI.

2.32.0 (2024-05-20)

Security

  • Fixed an issue where setting verify=False on the first request from a Session will cause subsequent requests to the same origin to also ignore cert verification, regardless of the value of verify. (GHSA-9wx4-h78v-vm56)

Improvements

  • verify=True now reuses a global SSLContext which should improve request time variance between first and subsequent requests. It should also minimize certificate load time on Windows systems when using a Python version built with OpenSSL 3.x. (#6667)
  • Requests now supports optional use of character detection (chardet or charset_normalizer) when repackaged or vendored. This enables pip and other projects to minimize their vendoring surface area. The Response.text() and apparent_encoding APIs will default to utf-8 if neither library is present. (#6702)

Bugfixes

  • Fixed bug in length detection where emoji length was incorrectly calculated in the request content-length. (#6589)
  • Fixed deserialization bug in JSONDecodeError. (#6629)
  • Fixed bug where an extra leading / (path separator) could lead urllib3 to unnecessarily reparse the request URI. (#6644)

Deprecations

... (truncated)

Commits
  • 88dce9d v2.32.2
  • c98e4d1 Merge pull request #6710 from nateprewitt/api_rename
  • 92075b3 Add deprecation warning
  • aa1461b Move _get_connection to get_connection_with_tls_context
  • 970e8ce v2.32.1
  • d6ebc4a v2.32.0
  • 9a40d12 Avoid reloading root certificates to improve concurrent performance (#6667)
  • 0c030f7 Merge pull request #6702 from nateprewitt/no_char_detection
  • 555b870 Allow character detection dependencies to be optional in post-packaging steps
  • d6dded3 Merge pull request #6700 from franekmagiera/update-redirect-to-invalid-uri-test
  • Additional commits viewable in compare view

Updates werkzeug from 2.0.2 to 3.0.3

Release notes

Sourced from werkzeug's releases.

3.0.3

This is the Werkzeug 3.0.3 security release, which fixes security issues and bugs but does not otherwise change behavior and should not result in breaking changes.

PyPI: https://pypi.org/project/Werkzeug/3.0.3/ Changes: https://werkzeug.palletsprojects.com/en/3.0.x/changes/#version-3-0-3 Milestone: https://github.com/pallets/werkzeug/milestone/35?closed=1

  • Only allow localhost, .localhost, 127.0.0.1, or the specified hostname when running the dev server, to make debugger requests. Additional hosts can be added by using the debugger middleware directly. The debugger UI makes requests using the full URL rather than only the path. GHSA-2g68-c3qc-8985
  • Make reloader more robust when "" is in sys.path. #2823
  • Better TLS cert format with adhoc dev certs. #2891
  • Inform Python < 3.12 how to handle itms-services URIs correctly, rather than using an overly-broad workaround in Werkzeug that caused some redirect URIs to be passed on without encoding. #2828
  • Type annotation for Rule.endpoint and other uses of endpoint is Any. #2836

3.0.2

This is a fix release for the 3.0.x feature branch.

3.0.1

This is a security release for the 3.0.x feature branch.

3.0.0

This is a feature release, which includes new features, removes previously deprecated code, and adds new deprecations. The 3.0.x branch is now the supported fix branch, the 2.3.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. Test with warnings treated as errors to be able to adapt to deprecation warnings early.

2.3.8

This is a security release for the 2.3.x feature branch.

2.3.7

This is a fix release for the 2.3.x feature branch.

2.3.6

This is a fix release for the 2.3.x feature branch.

2.3.5

This is a fix release for the 2.3.x feature branch.

... (truncated)

Changelog

Sourced from werkzeug's changelog.

Version 3.0.3

Released 2024-05-05

  • Only allow localhost, .localhost, 127.0.0.1, or the specified hostname when running the dev server, to make debugger requests. Additional hosts can be added by using the debugger middleware directly. The debugger UI makes requests using the full URL rather than only the path. :ghsa:2g68-c3qc-8985

  • Make reloader more robust when "" is in sys.path. :pr:2823

  • Better TLS cert format with adhoc dev certs. :pr:2891

  • Inform Python < 3.12 how to handle itms-services URIs correctly, rather than using an overly-broad workaround in Werkzeug that caused some redirect URIs to be passed on without encoding. :issue:2828

  • Type annotation for Rule.endpoint and other uses of endpoint is Any. :issue:2836

  • Make reloader more robust when "" is in sys.path. :pr:2823

Version 3.0.2

Released 2024-04-01

  • Ensure setting merge_slashes to False results in NotFound for repeated-slash requests against single slash routes. :issue:2834
  • Fix handling of TypeError in TypeConversionDict.get() to match ValueError. :issue:2843
  • Fix response_wrapper type check in test client. :issue:2831
  • Make the return type of MultiPartParser.parse more precise. :issue:2840
  • Raise an error if converter arguments cannot be parsed. :issue:2822

Version 3.0.1

Released 2023-10-24

  • Fix slow multipart parsing for large parts potentially enabling DoS attacks.

Version 3.0.0

Released 2023-09-30

  • Remove previously deprecated code. :pr:2768

... (truncated)

Commits

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@dependabot
Bump the pip group across 2 directories with 8 updates
a38b294 
Bumps the pip group with 3 updates in the /adaptive_learning_manager directory: [tensorflow](https://github.com/tensorflow/tensorflow), [flask](https://github.com/pallets/flask) and [scikit-learn](https://github.com/scikit-learn/scikit-learn).
Bumps the pip group with 6 updates in the /example directory:

| Package | From | To |
| --- | --- | --- |
| [flask](https://github.com/pallets/flask) | `2.0.2` | `2.2.5` |
| [certifi](https://github.com/certifi/python-certifi) | `2021.10.8` | `2024.7.4` |
| [idna](https://github.com/kjd/idna) | `3.3` | `3.7` |
| [jinja2](https://github.com/pallets/jinja) | `3.0.3` | `3.1.4` |
| [requests](https://github.com/psf/requests) | `2.26.0` | `2.32.2` |
| [werkzeug](https://github.com/pallets/werkzeug) | `2.0.2` | `3.0.3` |



Updates `tensorflow` from 2.5.2 to 2.12.1
- [Release notes](https://github.com/tensorflow/tensorflow/releases)
- [Changelog](https://github.com/tensorflow/tensorflow/blob/master/RELEASE.md)
- [Commits](tensorflow/tensorflow@v2.5.2...v2.12.1)

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 `scikit-learn` from 0.24.1 to 1.5.0
- [Release notes](https://github.com/scikit-learn/scikit-learn/releases)
- [Commits](scikit-learn/scikit-learn@0.24.1...1.5.0)

Updates `flask` from 2.0.2 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 `certifi` from 2021.10.8 to 2024.7.4
- [Commits](certifi/python-certifi@2021.10.08...2024.07.04)

Updates `idna` from 3.3 to 3.7
- [Release notes](https://github.com/kjd/idna/releases)
- [Changelog](https://github.com/kjd/idna/blob/master/HISTORY.rst)
- [Commits](kjd/idna@v3.3...v3.7)

Updates `jinja2` from 3.0.3 to 3.1.4
- [Release notes](https://github.com/pallets/jinja/releases)
- [Changelog](https://github.com/pallets/jinja/blob/main/CHANGES.rst)
- [Commits](pallets/jinja@3.0.3...3.1.4)

Updates `requests` from 2.26.0 to 2.32.2
- [Release notes](https://github.com/psf/requests/releases)
- [Changelog](https://github.com/psf/requests/blob/main/HISTORY.md)
- [Commits](psf/requests@v2.26.0...v2.32.2)

Updates `werkzeug` from 2.0.2 to 3.0.3
- [Release notes](https://github.com/pallets/werkzeug/releases)
- [Changelog](https://github.com/pallets/werkzeug/blob/main/CHANGES.rst)
- [Commits](pallets/werkzeug@2.0.2...3.0.3)

---
updated-dependencies:
- dependency-name: tensorflow
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: flask
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: scikit-learn
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: flask
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: certifi
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: idna
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: jinja2
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: requests
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: werkzeug
  dependency-type: direct:production
  dependency-group: pip
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot bot added the dependencies Pull requests that update a dependency file label Aug 16, 2024
This was referenced Aug 16, 2024
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dependabot bot commented on behalf of github Aug 16, 2024

Looks like these dependencies are updatable in another way, so this is no longer needed.

@dependabot dependabot bot closed this Aug 16, 2024
@dependabot dependabot bot deleted the dependabot/pip/adaptive_learning_manager/pip-b88c604548 branch August 16, 2024 11:55
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