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@dependabot dependabot bot commented on behalf of github Mar 5, 2025

Bumps the pip group with 3 updates: cryptography, jinja2 and keras.

Updates cryptography from 44.0.0 to 44.0.1

Changelog

Sourced from cryptography's changelog.

44.0.1 - 2025-02-11


* Updated Windows, macOS, and Linux wheels to be compiled with OpenSSL 3.4.1.
* We now build ``armv7l`` ``manylinux`` wheels and publish them to PyPI.
* We now build ``manylinux_2_34`` wheels and publish them to PyPI.

.. _v44-0-0:

Commits

Updates jinja2 from 3.1.4 to 3.1.5

Release notes

Sourced from jinja2's releases.

3.1.5

This is the Jinja 3.1.5 security fix release, which fixes security issues and bugs but does not otherwise change behavior and should not result in breaking changes compared to the latest feature release.

PyPI: https://pypi.org/project/Jinja2/3.1.5/ Changes: https://jinja.palletsprojects.com/changes/#version-3-1-5 Milestone: https://github.com/pallets/jinja/milestone/16?closed=1

  • The sandboxed environment handles indirect calls to str.format, such as by passing a stored reference to a filter that calls its argument. GHSA-q2x7-8rv6-6q7h
  • Escape template name before formatting it into error messages, to avoid issues with names that contain f-string syntax. #1792, GHSA-gmj6-6f8f-6699
  • Sandbox does not allow clear and pop on known mutable sequence types. #2032
  • Calling sync render for an async template uses asyncio.run. #1952
  • Avoid unclosed auto_aiter warnings. #1960
  • Return an aclose-able AsyncGenerator from Template.generate_async. #1960
  • Avoid leaving root_render_func() unclosed in Template.generate_async. #1960
  • Avoid leaving async generators unclosed in blocks, includes and extends. #1960
  • The runtime uses the correct concat function for the current environment when calling block references. #1701
  • Make |unique async-aware, allowing it to be used after another async-aware filter. #1781
  • |int filter handles OverflowError from scientific notation. #1921
  • Make compiling deterministic for tuple unpacking in a {% set ... %} call. #2021
  • Fix dunder protocol (copy/pickle/etc) interaction with Undefined objects. #2025
  • Fix copy/pickle support for the internal missing object. #2027
  • Environment.overlay(enable_async) is applied correctly. #2061
  • The error message from FileSystemLoader includes the paths that were searched. #1661
  • PackageLoader shows a clearer error message when the package does not contain the templates directory. #1705
  • Improve annotations for methods returning copies. #1880
  • urlize does not add mailto: to values like @a@b. #1870
  • Tests decorated with @pass_context can be used with the |select filter. #1624
  • Using set for multiple assignment (a, b = 1, 2) does not fail when the target is a namespace attribute. #1413
  • Using set in all branches of {% if %}{% elif %}{% else %} blocks does not cause the variable to be considered initially undefined. #1253
Changelog

Sourced from jinja2's changelog.

Version 3.1.5

Released 2024-12-21

  • The sandboxed environment handles indirect calls to str.format, such as by passing a stored reference to a filter that calls its argument. :ghsa:q2x7-8rv6-6q7h
  • Escape template name before formatting it into error messages, to avoid issues with names that contain f-string syntax. :issue:1792, :ghsa:gmj6-6f8f-6699
  • Sandbox does not allow clear and pop on known mutable sequence types. :issue:2032
  • Calling sync render for an async template uses asyncio.run. :pr:1952
  • Avoid unclosed auto_aiter warnings. :pr:1960
  • Return an aclose-able AsyncGenerator from Template.generate_async. :pr:1960
  • Avoid leaving root_render_func() unclosed in Template.generate_async. :pr:1960
  • Avoid leaving async generators unclosed in blocks, includes and extends. :pr:1960
  • The runtime uses the correct concat function for the current environment when calling block references. :issue:1701
  • Make |unique async-aware, allowing it to be used after another async-aware filter. :issue:1781
  • |int filter handles OverflowError from scientific notation. :issue:1921
  • Make compiling deterministic for tuple unpacking in a {% set ... %} call. :issue:2021
  • Fix dunder protocol (copy/pickle/etc) interaction with Undefined objects. :issue:2025
  • Fix copy/pickle support for the internal missing object. :issue:2027
  • Environment.overlay(enable_async) is applied correctly. :pr:2061
  • The error message from FileSystemLoader includes the paths that were searched. :issue:1661
  • PackageLoader shows a clearer error message when the package does not contain the templates directory. :issue:1705
  • Improve annotations for methods returning copies. :pr:1880
  • urlize does not add mailto: to values like @a@b. :pr:1870
  • Tests decorated with @pass_context`` can be used with the ``|select`` filter. :issue:1624`
  • Using set for multiple assignment (a, b = 1, 2) does not fail when the target is a namespace attribute. :issue:1413
  • Using set in all branches of {% if %}{% elif %}{% else %} blocks does not cause the variable to be considered initially undefined. :issue:1253
Commits
  • 877f6e5 release version 3.1.5
  • 8d58859 remove test pypi
  • eda8fe8 update dev dependencies
  • c8fdce1 Fix bug involving calling set on a template parameter within all branches of ...
  • 66587ce Fix bug where set would sometimes fail within if
  • fbc3a69 Add support for namespaces in tuple parsing (#1664)
  • b8f4831 more comments about nsref assignment
  • ee83219 Add support for namespaces in tuple assignment
  • 1d55cdd Triple quotes in docs (#2064)
  • 8a8eafc edit block assignment section
  • Additional commits viewable in compare view

Updates keras from 3.7.0 to 3.8.0

Release notes

Sourced from keras's releases.

Keras 3.8.0

New: OpenVINO backend

OpenVINO is now available as an infererence-only Keras backend. You can start using it by setting the backend field to "openvino" in your keras.json config file.

OpenVINO is a deep learning inference-only framework tailored for CPU (x86, ARM), certain GPUs (OpenCL capable, integrated and discrete) and certain AI accelerators (Intel NPU).

Because OpenVINO does not support gradients, you cannot use it for training (e.g. model.fit()) -- only inference. You can train your models with the JAX/TensorFlow/PyTorch backends, and when trained, reload them with the OpenVINO backend for inference on a target device supported by OpenVINO.

New: ONNX model export

You can now export your Keras models to the ONNX format from the JAX, TensorFlow, and PyTorch backends.

Just pass format="onnx" in your model.export() call:

# Export the model as a ONNX artifact
model.export("path/to/location", format="onnx")
Load the artifact in a different process/environment
ort_session = onnxruntime.InferenceSession("path/to/location")
Run inference
ort_inputs = {
k.name: v for k, v in zip(ort_session.get_inputs(), input_data)
}
predictions = ort_session.run(None, ort_inputs)

New: Scikit-Learn API compatibility interface

It's now possible to easily integrate Keras models into Sciki-Learn pipelines! The following wrapper classes are available:

  • keras.wrappers.SKLearnClassifier: implements the sklearn Classifier API
  • keras.wrappers.SKLearnRegressor: implements the sklearn Regressor API
  • keras.wrappers.SKLearnTransformer: implements the sklearn Transformer API

Other feature additions

  • Add new ops:
    • Add keras.ops.diagflat
    • Add keras.ops.unravel_index
  • Add new activations:
    • Add sparse_plus activation
    • Add sparsemax activation
  • Add new image augmentation and preprocessing layers:
    • Add keras.layers.RandAugment
    • Add keras.layers.Equalization
    • Add keras.layers.MixUp

... (truncated)

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Bumps the pip group with 3 updates: [cryptography](https://github.com/pyca/cryptography), [jinja2](https://github.com/pallets/jinja) and [keras](https://github.com/keras-team/keras).


Updates `cryptography` from 44.0.0 to 44.0.1
- [Changelog](https://github.com/pyca/cryptography/blob/main/CHANGELOG.rst)
- [Commits](pyca/cryptography@44.0.0...44.0.1)

Updates `jinja2` from 3.1.4 to 3.1.5
- [Release notes](https://github.com/pallets/jinja/releases)
- [Changelog](https://github.com/pallets/jinja/blob/main/CHANGES.rst)
- [Commits](pallets/jinja@3.1.4...3.1.5)

Updates `keras` from 3.7.0 to 3.8.0
- [Release notes](https://github.com/keras-team/keras/releases)
- [Commits](keras-team/keras@v3.7.0...v3.8.0)

---
updated-dependencies:
- dependency-name: cryptography
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: jinja2
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: keras
  dependency-type: direct:production
  dependency-group: pip
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update Python code labels Mar 5, 2025
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jagapiou commented Mar 6, 2025

@dependabot rebase

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dependabot bot commented on behalf of github Mar 6, 2025

Superseded by #292.

@dependabot dependabot bot closed this Mar 6, 2025
@dependabot dependabot bot deleted the dependabot/pip/pip-d2f7fa387e branch March 6, 2025 17:56
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