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Bump the pip group across 5 directories with 21 updates #5

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@dependabot dependabot bot commented on behalf of github Jul 19, 2024

Bumps the pip group with 1 update in the /apps/android_camera/models directory: tensorflow.
Bumps the pip group with 18 updates in the /apps/microtvm directory:

Package From To
tensorflow 2.12.0 2.12.1
numpy 1.21.3 1.22.0
tornado 6.3.3 6.4.1
onnx 1.13.0 1.16.0
black 19.10b0 24.3.0
pillow 10.2.0 10.3.0
certifi 2022.12.7 2024.7.4
django 4.1.7 4.1.13
fonttools 4.39.3 4.43.0
grpcio 1.53.0 1.53.2
idna 3.4 3.7
jinja2 3.1.2 3.1.4
requests 2.28.2 2.32.2
setuptools 67.6.1 70.0.0
sqlparse 0.4.3 0.5.0
urllib3 1.26.18 1.26.19
zipp 3.15.0 3.19.1
lxml 4.6.3 4.9.1

Bumps the pip group with 4 updates in the /apps/microtvm/cmsisnn directory: numpy, tornado, pillow and lxml.
Bumps the pip group with 4 updates in the /apps/microtvm/ethosu directory: numpy, tornado, pillow and lxml.
Bumps the pip group with 9 updates in the /docker/python directory:

Package From To
certifi 2022.5.18.1 2024.7.4
idna 3.3 3.7
requests 2.27.1 2.32.2
setuptools 62.3.2 70.0.0
urllib3 1.26.18 1.26.19
zipp 3.8.0 3.19.1
cleo 0.8.1 2.0.0
cryptography 41.0.6 42.0.4
pip 22.1.1 23.3

Updates tensorflow from 2.9.3 to 2.11.1

Release notes

Sourced from tensorflow's releases.

TensorFlow 2.11.1

Release 2.11.1

Note: TensorFlow 2.10 was the last TensorFlow release that supported GPU on native-Windows. Starting with TensorFlow 2.11, you will need to install TensorFlow in WSL2, or install tensorflow-cpu and, optionally, try the TensorFlow-DirectML-Plugin.

  • Security vulnerability fixes will no longer be patched to this Tensorflow version. The latest Tensorflow version includes the security vulnerability fixes. You can update to the latest version (recommended) or patch security vulnerabilities yourself steps. You can refer to the release notes of the latest Tensorflow version for a list of newly fixed vulnerabilities. If you have any questions, please create a GitHub issue to let us know.

This release also introduces several vulnerability fixes:

TensorFlow 2.11.0

Release 2.11.0

Breaking Changes

  • The tf.keras.optimizers.Optimizer base class now points to the new Keras optimizer, while the old optimizers have been moved to the tf.keras.optimizers.legacy namespace.

    If you find your workflow failing due to this change, you may be facing one of the following issues:

    • Checkpoint loading failure. The new optimizer handles optimizer state differently from the old optimizer, which simplifies the logic of checkpoint saving/loading, but at the cost of breaking checkpoint backward compatibility in some cases. If you want to keep using an old checkpoint, please change your optimizer to tf.keras.optimizer.legacy.XXX (e.g. tf.keras.optimizer.legacy.Adam).
    • TF1 compatibility. The new optimizer, tf.keras.optimizers.Optimizer, does not support TF1 any more, so please use the legacy optimizer tf.keras.optimizer.legacy.XXX. We highly recommend migrating your workflow to TF2 for stable support and new features.
    • Old optimizer API not found. The new optimizer, tf.keras.optimizers.Optimizer, has a different set of public APIs from the old optimizer. These API changes are mostly related to getting rid of slot variables and TF1 support. Please check the API documentation to find alternatives to the missing API. If you must call the deprecated API, please change your optimizer to the legacy optimizer.
    • Learning rate schedule access. When using a tf.keras.optimizers.schedules.LearningRateSchedule, the new optimizer's learning_rate property returns the current learning rate value instead of a LearningRateSchedule object as before. If you need to access the LearningRateSchedule object, please use optimizer._learning_rate.
    • If you implemented a custom optimizer based on the old optimizer. Please set your optimizer to subclass tf.keras.optimizer.legacy.XXX. If you want to migrate to the new optimizer and find it does not support your optimizer, please file an issue in the Keras GitHub repo.
    • Errors, such as Cannot recognize variable.... The new optimizer requires all optimizer variables to be created at the first apply_gradients() or minimize() call. If your workflow calls the optimizer to update different parts of the model in multiple stages, please call optimizer.build(model.trainable_variables) before the training loop.
    • Timeout or performance loss. We don't anticipate this to happen, but if you see such issues, please use the legacy optimizer, and file an issue in the Keras GitHub repo.

    The old Keras optimizer will never be deleted, but will not see any new feature additions. New optimizers (for example, tf.keras.optimizers.Adafactor) will only be implemented based on the new tf.keras.optimizers.Optimizer base class.

  • tensorflow/python/keras code is a legacy copy of Keras since the TensorFlow v2.7 release, and will be deleted in the v2.12 release. Please remove any import of tensorflow.python.keras and use the public API with from tensorflow import keras or import tensorflow as tf; tf.keras.

Major Features and Improvements

... (truncated)

Changelog

Sourced from tensorflow's changelog.

Release 2.11.1

Note: TensorFlow 2.10 was the last TensorFlow release that supported GPU on native-Windows. Starting with TensorFlow 2.11, you will need to install TensorFlow in WSL2, or install tensorflow-cpu and, optionally, try the TensorFlow-DirectML-Plugin.

  • Security vulnerability fixes will no longer be patched to this Tensorflow version. The latest Tensorflow version includes the security vulnerability fixes. You can update to the latest version (recommended) or patch security vulnerabilities yourself steps. You can refer to the release notes of the latest Tensorflow version for a list of newly fixed vulnerabilities. If you have any questions, please create a GitHub issue to let us know.

This release also introduces several vulnerability fixes:

Release 2.11.0

Breaking Changes

  • tf.keras.optimizers.Optimizer now points to the new Keras optimizer, and old optimizers have moved to the tf.keras.optimizers.legacy namespace. If you find your workflow failing due to this change, you may be facing one of the following issues:

    • Checkpoint loading failure. The new optimizer handles optimizer state differently from the old optimizer, which simplies the logic of checkpoint saving/loading, but at the cost of breaking checkpoint backward compatibility in some cases. If you want to keep using an old checkpoint, please change your optimizer to tf.keras.optimizers.legacy.XXX (e.g. tf.keras.optimizers.legacy.Adam).
    • TF1 compatibility. The new optimizer does not support TF1 any more, so please use the legacy optimizer tf.keras.optimizer.legacy.XXX. We highly recommend to migrate your workflow to TF2 for stable support and new features.
    • API not found. The new optimizer has a different set of public APIs from the old optimizer. These API changes are mostly related to getting rid of slot variables and TF1 support. Please check the API

... (truncated)

Commits
  • a3e2c69 Merge pull request #60016 from tensorflow/fix-relnotes
  • 13b85dc Fix release notes
  • 48b18db Merge pull request #60014 from tensorflow/disable-test-that-ooms
  • eea48f5 Disable a test that results in OOM+segfault
  • a632584 Merge pull request #60000 from tensorflow/venkat-patch-3
  • 93dea7a Update RELEASE.md
  • a2ba9f1 Updating Release.md with Legal Language for Release Notes
  • fae41c7 Merge pull request #59998 from tensorflow/fix-bad-cherrypick-again
  • 2757416 Fix bad cherrypick
  • c78616f Merge pull request #59992 from tensorflow/fix-2.11-build
  • Additional commits viewable in compare view

Updates tensorflow from 2.12.0 to 2.12.1

Release notes

Sourced from tensorflow's releases.

TensorFlow 2.11.1

Release 2.11.1

Note: TensorFlow 2.10 was the last TensorFlow release that supported GPU on native-Windows. Starting with TensorFlow 2.11, you will need to install TensorFlow in WSL2, or install tensorflow-cpu and, optionally, try the TensorFlow-DirectML-Plugin.

  • Security vulnerability fixes will no longer be patched to this Tensorflow version. The latest Tensorflow version includes the security vulnerability fixes. You can update to the latest version (recommended) or patch security vulnerabilities yourself steps. You can refer to the release notes of the latest Tensorflow version for a list of newly fixed vulnerabilities. If you have any questions, please create a GitHub issue to let us know.

This release also introduces several vulnerability fixes:

TensorFlow 2.11.0

Release 2.11.0

Breaking Changes

  • The tf.keras.optimizers.Optimizer base class now points to the new Keras optimizer, while the old optimizers have been moved to the tf.keras.optimizers.legacy namespace.

    If you find your workflow failing due to this change, you may be facing one of the following issues:

    • Checkpoint loading failure. The new optimizer handles optimizer state differently from the old optimizer, which simplifies the logic of checkpoint saving/loading, but at the cost of breaking checkpoint backward compatibility in some cases. If you want to keep using an old checkpoint, please change your optimizer to tf.keras.optimizer.legacy.XXX (e.g. tf.keras.optimizer.legacy.Adam).
    • TF1 compatibility. The new optimizer, tf.keras.optimizers.Optimizer, does not support TF1 any more, so please use the legacy optimizer tf.keras.optimizer.legacy.XXX. We highly recommend migrating your workflow to TF2 for stable support and new features.
    • Old optimizer API not found. The new optimizer, tf.keras.optimizers.Optimizer, has a different set of public APIs from the old optimizer. These API changes are mostly related to getting rid of slot variables and TF1 support. Please check the API documentation to find alternatives to the missing API. If you must call the deprecated API, please change your optimizer to the legacy optimizer.
    • Learning rate schedule access. When using a tf.keras.optimizers.schedules.LearningRateSchedule, the new optimizer's learning_rate property returns the current learning rate value instead of a LearningRateSchedule object as before. If you need to access the LearningRateSchedule object, please use optimizer._learning_rate.
    • If you implemented a custom optimizer based on the old optimizer. Please set your optimizer to subclass tf.keras.optimizer.legacy.XXX. If you want to migrate to the new optimizer and find it does not support your optimizer, please file an issue in the Keras GitHub repo.
    • Errors, such as Cannot recognize variable.... The new optimizer requires all optimizer variables to be created at the first apply_gradients() or minimize() call. If your workflow calls the optimizer to update different parts of the model in multiple stages, please call optimizer.build(model.trainable_variables) before the training loop.
    • Timeout or performance loss. We don't anticipate this to happen, but if you see such issues, please use the legacy optimizer, and file an issue in the Keras GitHub repo.

    The old Keras optimizer will never be deleted, but will not see any new feature additions. New optimizers (for example, tf.keras.optimizers.Adafactor) will only be implemented based on the new tf.keras.optimizers.Optimizer base class.

  • tensorflow/python/keras code is a legacy copy of Keras since the TensorFlow v2.7 release, and will be deleted in the v2.12 release. Please remove any import of tensorflow.python.keras and use the public API with from tensorflow import keras or import tensorflow as tf; tf.keras.

Major Features and Improvements

... (truncated)

Changelog

Sourced from tensorflow's changelog.

Release 2.11.1

Note: TensorFlow 2.10 was the last TensorFlow release that supported GPU on native-Windows. Starting with TensorFlow 2.11, you will need to install TensorFlow in WSL2, or install tensorflow-cpu and, optionally, try the TensorFlow-DirectML-Plugin.

  • Security vulnerability fixes will no longer be patched to this Tensorflow version. The latest Tensorflow version includes the security vulnerability fixes. You can update to the latest version (recommended) or patch security vulnerabilities yourself steps. You can refer to the release notes of the latest Tensorflow version for a list of newly fixed vulnerabilities. If you have any questions, please create a GitHub issue to let us know.

This release also introduces several vulnerability fixes:

Release 2.11.0

Breaking Changes

  • tf.keras.optimizers.Optimizer now points to the new Keras optimizer, and old optimizers have moved to the tf.keras.optimizers.legacy namespace. If you find your workflow failing due to this change, you may be facing one of the following issues:

    • Checkpoint loading failure. The new optimizer handles optimizer state differently from the old optimizer, which simplies the logic of checkpoint saving/loading, but at the cost of breaking checkpoint backward compatibility in some cases. If you want to keep using an old checkpoint, please change your optimizer to tf.keras.optimizers.legacy.XXX (e.g. tf.keras.optimizers.legacy.Adam).
    • TF1 compatibility. The new optimizer does not support TF1 any more, so please use the legacy optimizer tf.keras.optimizer.legacy.XXX. We highly recommend to migrate your workflow to TF2 for stable support and new features.
    • API not found. The new optimizer has a different set of public APIs from the old optimizer. These API changes are mostly related to getting rid of slot variables and TF1 support. Please check the API

... (truncated)

Commits
  • a3e2c69 Merge pull request #60016 from tensorflow/fix-relnotes
  • 13b85dc Fix release notes
  • 48b18db Merge pull request #60014 from tensorflow/disable-test-that-ooms
  • eea48f5 Disable a test that results in OOM+segfault
  • a632584 Merge pull request #60000 from tensorflow/venkat-patch-3
  • 93dea7a Update RELEASE.md
  • a2ba9f1 Updating Release.md with Legal Language for Release Notes
  • fae41c7 Merge pull request #59998 from tensorflow/fix-bad-cherrypick-again
  • 2757416 Fix bad cherrypick
  • c78616f Merge pull request #59992 from tensorflow/fix-2.11-build
  • Additional commits viewable in compare view

Updates numpy from 1.21.3 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 tornado from 6.3.3 to 6.4.1

Changelog

Sourced from tornado's changelog.

Release notes

.. toctree:: :maxdepth: 2

releases/v6.4.1 releases/v6.4.0 releases/v6.3.3 releases/v6.3.2 releases/v6.3.1 releases/v6.3.0 releases/v6.2.0 releases/v6.1.0 releases/v6.0.4 releases/v6.0.3 releases/v6.0.2 releases/v6.0.1 releases/v6.0.0 releases/v5.1.1 releases/v5.1.0 releases/v5.0.2 releases/v5.0.1 releases/v5.0.0 releases/v4.5.3 releases/v4.5.2 releases/v4.5.1 releases/v4.5.0 releases/v4.4.3 releases/v4.4.2 releases/v4.4.1 releases/v4.4.0 releases/v4.3.0 releases/v4.2.1 releases/v4.2.0 releases/v4.1.0 releases/v4.0.2 releases/v4.0.1 releases/v4.0.0 releases/v3.2.2 releases/v3.2.1 releases/v3.2.0 releases/v3.1.1 releases/v3.1.0 releases/v3.0.2 releases/v3.0.1 releases/v3.0.0 releases/v2.4.1 releases/v2.4.0 releases/v2.3.0

... (truncated)

Commits
  • 2a0e1d1 Merge pull request #3388 from bdarnell/release-641
  • b7af4e8 Release notes and version bump for version 6.4.1
  • d65f6e7 Merge pull request #3387 from bdarnell/chunked-parsing
  • 8d721a8 httputil: Only strip tabs and spaces from header values
  • 7786f09 Merge pull request #3386 from bdarnell/curl-crlf
  • fb119c7 http1connection: Stricter handling of transfer-encoding
  • b0ffc58 curl_httpclient,http1connection: Prohibit CR and LF in headers
  • 0efa9a4 Merge pull request #3385 from bdarnell/update-black
  • 2757c6e Merge pull request #3384 from tornadoweb/dependabot/pip/requests-2.32.2
  • 291d1b6 *: Update black
  • Additional commits viewable in compare view

Updates onnx from 1.13.0 to 1.16.0

Release notes

Sourced from onnx's releases.

v1.16.0

ONNX v1.16.0 is now available with exciting new features! We would like to thank everyone who contributed to this release! Please visit onnx.ai to learn more about ONNX and associated projects.

Key Updates

ai.onnx Opset 21

ai.onnx.ml Opset 4

IR Version 10

  • Added support for UINT4, INT4 types
  • GraphProto, FunctionProto, NodeProto, TensorProto added metadata_props field
  • FunctionProto added value_info field
  • FunctionProto and NodeProto added overload field to support overloaded functions.

Python Changes

  • Support registering custom OpSchemas via Python interface
  • Support Python3.12

Security Updates

  • Fix path sanitization bypass leading to arbitrary read (CVE-2024-27318)
  • Fix Out of bounds read due to lack of string termination in assert (CVE-2024-27319)

Deprecation notice

Bug fixes and infrastructure improvements

  • Enable empty list of values as attribute (#5559)
  • Add backward conversions from 18->17 for reduce ops (#5606)
  • DFT-20 version converter (#5613)
  • Fix version-converter to generate valid identifiers (#5628)
  • Reserve removed proto fields (#5643)
  • Cleanup shape inference implementation (#5596)
  • Do not use LFS64 on non-glibc linux (#5669)
  • Drop "one of" default attribute check in LabelEncoder (#5673)
  • TreeEnsemble base values for the reference implementation (#5665)
  • Parser/printer support external data format (#5688)
  • [cmake] Place export target file in the correct directory (#5677)

... (truncated)

Commits

Updates black from 19.10b0 to 24.3.0

Release notes

Sourced from black's releases.

24.3.0

Highlights

This release is a milestone: it fixes Black's first CVE security vulnerability. If you run Black on untrusted input, or if you habitually put thousands of leading tab characters in your docstrings, you are strongly encouraged to upgrade immediately to fix CVE-2024-21503.

This release also fixes a bug in Black's AST safety check that allowed Black to make incorrect changes to certain f-strings that are valid in Python 3.12 and higher.

Stable style

  • Don't move comments along with delimiters, which could cause crashes (#4248)
  • Strengthen AST safety check to catch more unsafe changes to strings. Previous versions of Black would incorrectly format the contents of certain unusual f-strings containing nested strings with the same quote type. Now, Black will crash on such strings until support for the new f-string syntax is implemented. (#4270)
  • Fix a bug where line-ranges exceeding the last code line would not work as expected (#4273)

Performance

  • Fix catastrophic performance on docstrings that contain large numbers of leading tab characters. This fixes CVE-2024-21503. (#4278)

Documentation

  • Note what happens when --check is used with --quiet (#4236)

24.2.0

Stable style

  • Fixed a bug where comments where mistakenly removed along with redundant parentheses (#4218)

Preview style

  • Move the hug_parens_with_braces_and_square_brackets feature to the unstable style due to an outstanding crash and proposed formatting tweaks (#4198)
  • Fixed a bug where base expressions caused inconsistent formatting of ** in tenary expression (#4154)
  • Checking for newline before adding one on docstring that is almost at the line limit (#4185)
  • Remove redundant parentheses in case statement if guards (#4214).

Configuration

... (truncated)

Changelog

Sourced from black's changelog.

24.3.0

Highlights

This release is a milestone: it fixes Black's first CVE security vulnerability. If you run Black on untrusted input, or if you habitually put thousands of leading tab characters in your docstrings, you are strongly encouraged to upgrade immediately to fix CVE-2024-21503.

This release also fixes a bug in Black's AST safety check that allowed Black to make incorrect changes to certain f-strings that are valid in Python 3.12 and higher.

Stable style

  • Don't move comments along with delimiters, which could cause crashes (#4248)
  • Strengthen AST safety check to catch more unsafe changes to strings. Previous versions of Black would incorrectly format the contents of certain unusual f-strings containing nested strings with the same quote type. Now, Black will crash on such strings until support for the new f-string syntax is implemented. (#4270)
  • Fix a bug where line-ranges exceeding the last code line would not work as expected (#4273)

Performance

  • Fix catastrophic performance on docstrings that contain large numbers of leading tab characters. This fixes CVE-2024-21503. (#4278)

Documentation

  • Note what happens when --check is used with --quiet (#4236)

24.2.0

Stable style

  • Fixed a bug where comments where mistakenly removed along with redundant parentheses (#4218)

Preview style

  • Move the hug_parens_with_braces_and_square_brackets feature to the unstable style due to an outstanding crash and proposed formatting tweaks (#4198)
  • Fixed a bug where base expressions caused inconsistent formatting of ** in tenary expression (#4154)
  • Checking for newline before adding one on docstring that is almost at the line limit (#4185)
  • Remove redundant parentheses in case statement if guards (#4214).

... (truncated)

Commits

Updates pillow from 10.2.0 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

@dependabot
Bump the pip group across 5 directories with 21 updates
7d2e2ea 
Bumps the pip group with 1 update in the /apps/android_camera/models directory: [tensorflow](https://github.com/tensorflow/tensorflow).
Bumps the pip group with 18 updates in the /apps/microtvm directory:

| Package | From | To |
| --- | --- | --- |
| [tensorflow](https://github.com/tensorflow/tensorflow) | `2.12.0` | `2.12.1` |
| [numpy](https://github.com/numpy/numpy) | `1.21.3` | `1.22.0` |
| [tornado](https://github.com/tornadoweb/tornado) | `6.3.3` | `6.4.1` |
| [onnx](https://github.com/onnx/onnx) | `1.13.0` | `1.16.0` |
| [black](https://github.com/psf/black) | `19.10b0` | `24.3.0` |
| [pillow](https://github.com/python-pillow/Pillow) | `10.2.0` | `10.3.0` |
| [certifi](https://github.com/certifi/python-certifi) | `2022.12.7` | `2024.7.4` |
| [django](https://github.com/django/django) | `4.1.7` | `4.1.13` |
| [fonttools](https://github.com/fonttools/fonttools) | `4.39.3` | `4.43.0` |
| [grpcio](https://github.com/grpc/grpc) | `1.53.0` | `1.53.2` |
| [idna](https://github.com/kjd/idna) | `3.4` | `3.7` |
| [jinja2](https://github.com/pallets/jinja) | `3.1.2` | `3.1.4` |
| [requests](https://github.com/psf/requests) | `2.28.2` | `2.32.2` |
| [setuptools](https://github.com/pypa/setuptools) | `67.6.1` | `70.0.0` |
| [sqlparse](https://github.com/andialbrecht/sqlparse) | `0.4.3` | `0.5.0` |
| [urllib3](https://github.com/urllib3/urllib3) | `1.26.18` | `1.26.19` |
| [zipp](https://github.com/jaraco/zipp) | `3.15.0` | `3.19.1` |
| [lxml](https://github.com/lxml/lxml) | `4.6.3` | `4.9.1` |

Bumps the pip group with 4 updates in the /apps/microtvm/cmsisnn directory: [numpy](https://github.com/numpy/numpy), [tornado](https://github.com/tornadoweb/tornado), [pillow](https://github.com/python-pillow/Pillow) and [lxml](https://github.com/lxml/lxml).
Bumps the pip group with 4 updates in the /apps/microtvm/ethosu directory: [numpy](https://github.com/numpy/numpy), [tornado](https://github.com/tornadoweb/tornado), [pillow](https://github.com/python-pillow/Pillow) and [lxml](https://github.com/lxml/lxml).
Bumps the pip group with 9 updates in the /docker/python directory:

| Package | From | To |
| --- | --- | --- |
| [certifi](https://github.com/certifi/python-certifi) | `2022.5.18.1` | `2024.7.4` |
| [idna](https://github.com/kjd/idna) | `3.3` | `3.7` |
| [requests](https://github.com/psf/requests) | `2.27.1` | `2.32.2` |
| [setuptools](https://github.com/pypa/setuptools) | `62.3.2` | `70.0.0` |
| [urllib3](https://github.com/urllib3/urllib3) | `1.26.18` | `1.26.19` |
| [zipp](https://github.com/jaraco/zipp) | `3.8.0` | `3.19.1` |
| [cleo](https://github.com/python-poetry/cleo) | `0.8.1` | `2.0.0` |
| [cryptography](https://github.com/pyca/cryptography) | `41.0.6` | `42.0.4` |
| [pip](https://github.com/pypa/pip) | `22.1.1` | `23.3` |



Updates `tensorflow` from 2.9.3 to 2.11.1
- [Release notes](https://github.com/tensorflow/tensorflow/releases)
- [Changelog](https://github.com/tensorflow/tensorflow/blob/master/RELEASE.md)
- [Commits](tensorflow/tensorflow@v2.9.3...v2.11.1)

Updates `tensorflow` from 2.12.0 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@v2.9.3...v2.11.1)

Updates `numpy` from 1.21.3 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@v1.21.3...v1.22.0)

Updates `tornado` from 6.3.3 to 6.4.1
- [Changelog](https://github.com/tornadoweb/tornado/blob/master/docs/releases.rst)
- [Commits](tornadoweb/tornado@v6.3.3...v6.4.1)

Updates `onnx` from 1.13.0 to 1.16.0
- [Release notes](https://github.com/onnx/onnx/releases)
- [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog-ml.md)
- [Commits](onnx/onnx@v1.13.0...v1.16.0)

Updates `black` from 19.10b0 to 24.3.0
- [Release notes](https://github.com/psf/black/releases)
- [Changelog](https://github.com/psf/black/blob/main/CHANGES.md)
- [Commits](https://github.com/psf/black/commits/24.3.0)

Updates `pillow` from 10.2.0 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@10.2.0...10.3.0)

Updates `certifi` from 2022.12.7 to 2024.7.4
- [Commits](certifi/python-certifi@2022.12.07...2024.07.04)

Updates `django` from 4.1.7 to 4.1.13
- [Commits](django/django@4.1.7...4.1.13)

Updates `fonttools` from 4.39.3 to 4.43.0
- [Release notes](https://github.com/fonttools/fonttools/releases)
- [Changelog](https://github.com/fonttools/fonttools/blob/main/NEWS.rst)
- [Commits](fonttools/fonttools@4.39.3...4.43.0)

Updates `grpcio` from 1.53.0 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@v1.53.0...v1.53.2)

Updates `idna` from 3.4 to 3.7
- [Release notes](https://github.com/kjd/idna/releases)
- [Changelog](https://github.com/kjd/idna/blob/master/HISTORY.rst)
- [Commits](kjd/idna@v3.4...v3.7)

Updates `jinja2` from 3.1.2 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@3.1.2...3.1.4)

Updates `requests` from 2.28.2 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@v2.28.2...v2.32.2)

Updates `setuptools` from 67.6.1 to 70.0.0
- [Release notes](https://github.com/pypa/setuptools/releases)
- [Changelog](https://github.com/pypa/setuptools/blob/main/NEWS.rst)
- [Commits](pypa/setuptools@v67.6.1...v70.0.0)

Updates `sqlparse` from 0.4.3 to 0.5.0
- [Changelog](https://github.com/andialbrecht/sqlparse/blob/master/CHANGELOG)
- [Commits](andialbrecht/sqlparse@0.4.3...0.5.0)

Updates `urllib3` from 1.26.18 to 1.26.19
- [Release notes](https://github.com/urllib3/urllib3/releases)
- [Changelog](https://github.com/urllib3/urllib3/blob/main/CHANGES.rst)
- [Commits](urllib3/urllib3@1.26.18...1.26.19)

Updates `zipp` from 3.15.0 to 3.19.1
- [Release notes](https://github.com/jaraco/zipp/releases)
- [Changelog](https://github.com/jaraco/zipp/blob/main/NEWS.rst)
- [Commits](jaraco/zipp@v3.15.0...v3.19.1)

Updates `lxml` from 4.6.3 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-4.6.3...lxml-4.9.1)

Updates `numpy` from 1.21.3 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@v1.21.3...v1.22.0)

Updates `tornado` from 6.3.3 to 6.4.1
- [Changelog](https://github.com/tornadoweb/tornado/blob/master/docs/releases.rst)
- [Commits](tornadoweb/tornado@v6.3.3...v6.4.1)

Updates `pillow` from 10.2.0 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@10.2.0...10.3.0)

Updates `lxml` from 4.6.3 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-4.6.3...lxml-4.9.1)

Updates `numpy` from 1.21.3 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@v1.21.3...v1.22.0)

Updates `tornado` from 6.3.3 to 6.4.1
- [Changelog](https://github.com/tornadoweb/tornado/blob/master/docs/releases.rst)
- [Commits](tornadoweb/tornado@v6.3.3...v6.4.1)

Updates `pillow` from 10.2.0 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@10.2.0...10.3.0)

Updates `lxml` from 4.6.3 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-4.6.3...lxml-4.9.1)

Updates `certifi` from 2022.5.18.1 to 2024.7.4
- [Commits](certifi/python-certifi@2022.12.07...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@v3.4...v3.7)

Updates `requests` from 2.27.1 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@v2.28.2...v2.32.2)

Updates `setuptools` from 62.3.2 to 70.0.0
- [Release notes](https://github.com/pypa/setuptools/releases)
- [Changelog](https://github.com/pypa/setuptools/blob/main/NEWS.rst)
- [Commits](pypa/setuptools@v67.6.1...v70.0.0)

Updates `urllib3` from 1.26.18 to 1.26.19
- [Release notes](https://github.com/urllib3/urllib3/releases)
- [Changelog](https://github.com/urllib3/urllib3/blob/main/CHANGES.rst)
- [Commits](urllib3/urllib3@1.26.18...1.26.19)

Updates `zipp` from 3.8.0 to 3.19.1
- [Release notes](https://github.com/jaraco/zipp/releases)
- [Changelog](https://github.com/jaraco/zipp/blob/main/NEWS.rst)
- [Commits](jaraco/zipp@v3.15.0...v3.19.1)

Updates `cleo` from 0.8.1 to 2.0.0
- [Release notes](https://github.com/python-poetry/cleo/releases)
- [Changelog](https://github.com/python-poetry/cleo/blob/main/CHANGELOG.md)
- [Commits](python-poetry/cleo@0.8.1...2.0.0)

Updates `cryptography` from 41.0.6 to 42.0.4
- [Changelog](https://github.com/pyca/cryptography/blob/main/CHANGELOG.rst)
- [Commits](pyca/cryptography@41.0.6...42.0.4)

Updates `pip` from 22.1.1 to 23.3
- [Changelog](https://github.com/pypa/pip/blob/main/NEWS.rst)
- [Commits](pypa/pip@22.1.1...23.3)

---
updated-dependencies:
- dependency-name: tensorflow
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: tensorflow
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: numpy
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: tornado
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: onnx
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: black
  dependency-type: direct:development
  dependency-group: pip
- dependency-name: pillow
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: certifi
  dependency-type: indirect
  dependency-group: pip
- dependency-name: django
  dependency-type: indirect
  dependency-group: pip
- dependency-name: fonttools
  dependency-type: indirect
  dependency-group: pip
- dependency-name: grpcio
  dependency-type: indirect
  dependency-group: pip
- dependency-name: idna
  dependency-type: indirect
  dependency-group: pip
- dependency-name: jinja2
  dependency-type: indirect
  dependency-group: pip
- dependency-name: requests
  dependency-type: indirect
  dependency-group: pip
- dependency-name: setuptools
  dependency-type: indirect
  dependency-group: pip
- dependency-name: sqlparse
  dependency-type: indirect
  dependency-group: pip
- dependency-name: urllib3
  dependency-type: indirect
  dependency-group: pip
- dependency-name: zipp
  dependency-type: indirect
  dependency-group: pip
- dependency-name: lxml
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: numpy
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: tornado
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: pillow
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: lxml
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: numpy
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: tornado
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: pillow
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: lxml
  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: requests
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: setuptools
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: urllib3
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: zipp
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: cleo
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: cryptography
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: pip
  dependency-type: direct:production
  dependency-group: pip
...

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@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update Python code labels Jul 19, 2024
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