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Bump the tensorflow group across 1 directory with 7 updates #274

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Bumps the tensorflow group with 7 updates in the /tensorflow directory:

Package From To
jupyterlab 4.3.0a0 4.3.0a2
jupyterhub 5.0.0 5.1.0
notebook 7.3.0a0 7.3.0a1
tensorflow 2.15.0 2.17.0
pillow 10.3.0 10.4.0
numpy 2.0.0 2.0.1
tensorflow-serving-api 2.16.1 2.17.0

Updates jupyterlab from 4.3.0a0 to 4.3.0a2

Release notes

Sourced from jupyterlab's releases.

v4.3.0a2

4.3.0a2

(Full Changelog)

Enhancements made

Bugs fixed

Maintenance and upkeep improvements

Documentation improvements

Contributors to this release

(GitHub contributors page for this release)

@​dependabot | @​fcollonval | @​g547315 | @​gabalafou | @​github-actions | @​j264415 | @​JasonWeill | @​joaopalmeiro | @​jtpio | @​jupyterlab-probot | @​krassowski | @​NexVeridian | @​pre-commit-ci | @​welcome

v4.3.0a1

4.3.0a1

(Full Changelog)

... (truncated)

Changelog

Sourced from jupyterlab's changelog.

4.3.0a2

(Full Changelog)

Enhancements made

Bugs fixed

Maintenance and upkeep improvements

Documentation improvements

Contributors to this release

(GitHub contributors page for this release)

@​dependabot | @​fcollonval | @​g547315 | @​gabalafou | @​github-actions | @​j264415 | @​JasonWeill | @​joaopalmeiro | @​jtpio | @​jupyterlab-probot | @​krassowski | @​NexVeridian | @​pre-commit-ci | @​welcome

4.3.0a1

(Full Changelog)

New features added

... (truncated)

Commits

Updates jupyterhub from 5.0.0 to 5.1.0

Commits
  • cdc2151 Bump to 5.1.0
  • b4a06ea add 4.1.6 changelog
  • 5fcaaac Merge pull request #4848 from minrk/prep-510
  • 4ea8fcb regen rest-api
  • ca7df63 Merge commit from fork
  • 759a4f0 update 5.1 changelog
  • 2a89495 Merge pull request #4856 from jfrost-mo/secure_context_for_login
  • 671c8ab Merge pull request #4860 from krassowski/pass-kwargs-to-server-initialize
  • 49aaf50 Pass kwargs down to initialize() call of the server
  • 0c20f3e Show insecure login warning when not in a secure context
  • Additional commits viewable in compare view

Updates notebook from 7.3.0a0 to 7.3.0a1

Release notes

Sourced from notebook's releases.

v7.3.0a1

7.3.0a1

(Full Changelog)

Enhancements made

Bugs fixed

Contributors to this release

(GitHub contributors page for this release)

@​github-actions | @​jtpio | @​krassowski

Changelog

Sourced from notebook's changelog.

7.3.0a1

(Full Changelog)

Enhancements made

Bugs fixed

Contributors to this release

(GitHub contributors page for this release)

@​github-actions | @​jtpio | @​krassowski

Commits

Updates tensorflow from 2.15.0 to 2.17.0

Release notes

Sourced from tensorflow's releases.

TensorFlow 2.17.0

Release 2.17.0

TensorFlow

Breaking Changes

  • GPU
    • Support for NVIDIA GPUs with compute capability 5.x (Maxwell generation) has been removed from TF binary distributions (Python wheels).

Major Features and Improvements

  • Add is_cpu_target_available, which indicates whether or not TensorFlow was built with support for a given CPU target. This can be useful for skipping target-specific tests if a target is not supported.

  • tf.data

    • Support data.experimental.distribued_save. distribued_save uses tf.data service (https://www.tensorflow.org/api_docs/python/tf/data/experimental/service) to write distributed dataset snapshots. The call is non-blocking and returns without waiting for the snapshot to finish. Setting wait=True to tf.data.Dataset.load allows the snapshots to be read while they are being written.

Bug Fixes and Other Changes

  • GPU

    • Support for NVIDIA GPUs with compute capability 8.9 (e.g. L4 & L40) has been added to TF binary distributions (Python wheels).

  • Replace DebuggerOptions of TensorFlow Quantizer, and migrate to DebuggerConfig of StableHLO Quantizer.

  • Add TensorFlow to StableHLO converter to TensorFlow pip package.

  • TensorRT support: this is the last release supporting TensorRT. It will be removed in the next release.

  • NumPy 2.0 support: TensorFlow is going to support NumPy 2.0 in the next release. It may break some edge cases of TensorFlow API usage.

  • tf.lite

    • Quantization for FullyConnected layer is switched from per-tensor to per-channel scales for dynamic range quantization use case (float32 inputs / outputs and int8 weights). The change enables new quantization schema globally in the converter and inference engine. The new behaviour can be disabled via experimental flag converter._experimental_disable_per_channel_quantization_for_dense_layers = True.
    • C API:
      • The experimental TfLiteRegistrationExternal type has been renamed as TfLiteOperator, and likewise for the corresponding API functions.
    • The Python TF Lite Interpreter bindings now have an option experimental_default_delegate_latest_features to enable all default delegate features.
    • Flatbuffer version update:
      • GetTemporaryPointer() bug fixed.

  • tf.data

    • Add wait to tf.data.Dataset.load. If True, for snapshots written with distributed_save, it reads the snapshot while it is being written. For snapshots written with regular save, it waits for the snapshot until it's finished. The default is False for backward compatibility. Users of distributed_save are recommended to set it to True.

  • tf.tpu.experimental.embedding.TPUEmbeddingV2

    • Add compute_sparse_core_stats for sparse core users to profile the data with this API to get the max_ids and max_unique_ids. These numbers will be needed to configure the sparse core embedding mid level api.
    • Remove the preprocess_features method since that's no longer needed.

Thanks to our Contributors

This release contains contributions from many people at Google, as well as:

Abdulaziz Aloqeely, Ahmad-M-Al-Khateeb, Akhil Goel, akhilgoe, Alexander Pivovarov, Amir Samani, Andrew Goodbody, Andrey Portnoy, Ashiq Imran, Ben Olson, Chao, Chase Riley Roberts, Clemens Giuliani, dependabot[bot], Dimitris Vardoulakis, Dragan Mladjenovic, ekuznetsov139, Elfie Guo, Faijul Amin, Gauri1 Deshpande, Georg Stefan Schmid, guozhong.zhuang, Hao Wu, Haoyu (Daniel), Harsha H S, Harsha Hs, Harshit Monish, Ilia Sergachev, Jane Liu, Jaroslav Sevcik, Jinzhe Zeng, Justin Dhillon, Kaixi Hou, Kanvi Khanna, LakshmiKalaKadali, Learning-To-Play, lingzhi98, Lu Teng, Matt Bahr, Max Ren, Meekail Zain, Mmakevic-Amd, mraunak, neverlva, nhatle, Nicola Ferralis, Olli Lupton, Om Thakkar, orangekame3, ourfor, pateldeev, Pearu Peterson, pemeliya, Peng Sun, Philipp Hack, Pratik Joshi, prrathi, rahulbatra85, Raunak, redwrasse, Robert Kalmar, Robin Zhang, RoboSchmied, Ruturaj Vaidya, sachinmuradi, Shawn Wang, Sheng Yang, Surya, Thibaut Goetghebuer-Planchon, Thomas Preud'Homme, tilakrayal, Tj Xu, Trevor Morris, wenchenvincent, Yimei Sun, zahiqbal, Zhu Jianjiang, Zoranjovanovic-Ns

TensorFlow 2.17.0-rc1

Release 2.17.0

... (truncated)

Changelog

Sourced from tensorflow's changelog.

Release 2.17.0

TensorFlow

Breaking Changes

  • GPU
    • Support for NVIDIA GPUs with compute capability 5.x (Maxwell generation) has been removed from TF binary distributions (Python wheels).

Major Features and Improvements

  • Add is_cpu_target_available, which indicates whether or not TensorFlow was built with support for a given CPU target. This can be useful for skipping target-specific tests if a target is not supported.

  • tf.data

    • Support data.experimental.distribued_save. distribued_save uses tf.data service (https://www.tensorflow.org/api_docs/python/tf/data/experimental/service) to write distributed dataset snapshots. The call is non-blocking and returns without waiting for the snapshot to finish. Setting wait=True to tf.data.Dataset.load allows the snapshots to be read while they are being written.

Bug Fixes and Other Changes

  • GPU

    • Support for NVIDIA GPUs with compute capability 8.9 (e.g. L4 & L40) has been added to TF binary distributions (Python wheels).

  • Replace DebuggerOptions of TensorFlow Quantizer, and migrate to DebuggerConfig of StableHLO Quantizer.

  • Add TensorFlow to StableHLO converter to TensorFlow pip package.

  • TensorRT support: this is the last release supporting TensorRT. It will be removed in the next release.

  • NumPy 2.0 support: TensorFlow is going to support NumPy 2.0 in the next release. It may break some edge cases of TensorFlow API usage.

  • tf.lite

    • Quantization for FullyConnected layer is switched from per-tensor to per-channel scales for dynamic range quantization use case (float32 inputs / outputs and int8 weights). The change enables new quantization schema globally in the converter and inference engine. The new behaviour can be disabled via experimental flag converter._experimental_disable_per_channel_quantization_for_dense_layers = True.
    • C API:
      • The experimental TfLiteRegistrationExternal type has been renamed as TfLiteOperator, and likewise for the corresponding API functions.
    • The Python TF Lite Interpreter bindings now have an option experimental_default_delegate_latest_features to enable all default delegate features.
    • Flatbuffer version update:
      • GetTemporaryPointer() bug fixed.

  • tf.data

    • Add wait to tf.data.Dataset.load. If True, for snapshots written with distributed_save, it reads the snapshot while it is being written. For snapshots written with regular save, it waits for the snapshot until it's finished. The default is False for backward compatibility. Users of distributed_save are recommended to set it to True.

  • tf.tpu.experimental.embedding.TPUEmbeddingV2

    • Add compute_sparse_core_stats for sparse core users to profile the data with this API to get the max_ids and max_unique_ids. These numbers will be needed to configure the sparse core embedding mid level api.
    • Remove the preprocess_features method since that's no longer needed.

Thanks to our Contributors

This release contains contributions from many people at Google, as well as:

Abdulaziz Aloqeely, Ahmad-M-Al-Khateeb, Akhil Goel, akhilgoe, Alexander Pivovarov, Amir Samani, Andrew Goodbody, Andrey Portnoy, Ashiq Imran, Ben Olson, Chao, Chase Riley Roberts, Clemens Giuliani, dependabot[bot], Dimitris Vardoulakis, Dragan Mladjenovic, ekuznetsov139, Elfie Guo, Faijul Amin, Gauri1 Deshpande, Georg Stefan Schmid, guozhong.zhuang, Hao Wu, Haoyu (Daniel), Harsha H S, Harsha Hs, Harshit Monish, Ilia Sergachev, Jane Liu, Jaroslav Sevcik, Jinzhe Zeng, Justin Dhillon, Kaixi Hou, Kanvi Khanna, LakshmiKalaKadali, Learning-To-Play, lingzhi98, Lu Teng, Matt Bahr, Max Ren, Meekail Zain, Mmakevic-Amd, mraunak, neverlva, nhatle, Nicola Ferralis, Olli Lupton, Om Thakkar, orangekame3, ourfor, pateldeev, Pearu Peterson, pemeliya, Peng Sun, Philipp Hack, Pratik Joshi, prrathi, rahulbatra85, Raunak, redwrasse, Robert Kalmar, Robin Zhang, RoboSchmied, Ruturaj Vaidya, sachinmuradi, Shawn Wang, Sheng Yang, Surya, Thibaut Goetghebuer-Planchon, Thomas Preud'Homme, tilakrayal, Tj Xu, Trevor Morris, wenchenvincent, Yimei Sun, zahiqbal, Zhu Jianjiang, Zoranjovanovic-Ns

Release 2.16.2

Bug Fixes and Other Changes

... (truncated)

Commits
  • ad6d8cc Merge pull request #71345 from tensorflow-jenkins/version-numbers-2.17.0-6959
  • 8ca87bf Update version numbers to 2.17.0
  • b3dcff9 Merge pull request #70600 from tensorflow/r2.17-2d72742d40f
  • 742ccbb Add tensorflow support for 16k page sizes on arm64
  • 8581151 Merge pull request #70475 from tensorflow-jenkins/version-numbers-2.17.0rc1-8204
  • d6b2aa0 Update version numbers to 2.17.0-rc1
  • bb8057c Merge pull request #70454 from vladbelit/gcs_trailing_dot_undo
  • 72f4b02 Fix issues with TF GCS operations not working in certain environments.
  • 6ed0a1a Merge pull request #70358 from tensorflow/r2.17-b24db0b2a85
  • ffca2f5 Add back xla/stream_executor:cuda_platform to tf_additional_binary_deps.
  • Additional commits viewable in compare view

Updates pillow from 10.3.0 to 10.4.0

Release notes

Sourced from pillow's releases.

10.4.0

https://pillow.readthedocs.io/en/stable/releasenotes/10.4.0.html

Changes

... (truncated)

Changelog

Sourced from pillow's changelog.

10.4.0 (2024-07-01)

  • Raise FileNotFoundError if show_file() path does not exist #8178 [radarhere]

  • Improved reading 16-bit TGA images with colour #7965 [Yay295, radarhere]

  • Deprecate non-image ImageCms modes #8031 [radarhere]

  • Fixed processing multiple JPEG EXIF markers #8127 [radarhere]

  • Do not preserve EXIFIFD tag by default when saving TIFF images #8110 [radarhere]

  • Added ImageFont.load_default_imagefont() #8086 [radarhere]

  • Added Image.WARN_POSSIBLE_FORMATS #8063 [radarhere]

  • Remove zero-byte end padding when parsing any XMP data #8171 [radarhere]

  • Do not detect Ultra HDR images as MPO #8056 [radarhere]

  • Raise SyntaxError specific to JP2 #8146 [Yay295, radarhere]

  • Do not use first frame duration for other frames when saving APNG images #8104 [radarhere]

  • Consider I;16 pixel size when using a 1 mode mask #8112 [radarhere]

  • When saving multiple PNG frames, convert to mode rather than raw mode #8087 [radarhere]

  • Added byte support to FreeTypeFont #8141 [radarhere]

  • Allow float center for rotate operations #8114 [radarhere]

  • Do not read layers immediately when opening PSD images #8039 [radarhere]

... (truncated)

Commits
  • 9b4fae7 10.4.0 version bump
  • b55d74b Update CHANGES.rst [ci skip]
  • 8daf550 Merge pull request #8178 from radarhere/imageshow
  • c6d8c58 Merge pull request #7965 from Yay295/patch-3
  • c9ec76a Raise FileNotFoundError if show_file() path does not exist
  • b48d175 Update CHANGES.rst [ci skip]
  • 4d6dff3 Merge pull request #8031 from radarhere/imagingcms_modes
  • 70b3815 Merge pull request #8127 from radarhere/multiple_exif_markers
  • 88cd6d4 Rearranged comments
  • 41426a6 Merge pull request #8110 from radarhere/exififd
  • Additional commits viewable in compare view

Updates numpy from 2.0.0 to 2.0.1

Release notes

Sourced from numpy's releases.

v2.0.1

NumPy 2.0.1 Release Notes

NumPy 2.0.1 is a maintenance release that fixes bugs and regressions discovered after the 2.0.0 release. NumPy 2.0.1 is the last planned release in the 2.0.x series, 2.1.0rc1 should be out shortly.

The Python versions supported by this release are 3.9-3.12.

NOTE: Do not use the GitHub generated "Source code" files listed in the "Assets", they are garbage.

Improvements

np.quantile with method closest_observation chooses nearest even order statistic

This changes the definition of nearest for border cases from the nearest odd order statistic to nearest even order statistic. The numpy implementation now matches other reference implementations.

(gh-26656)

Contributors

A total of 15 people contributed to this release. People with a "+" by their names contributed a patch for the first time.

  • @​vahidmech +
  • Alex Herbert +
  • Charles Harris
  • Giovanni Del Monte +
  • Leo Singer
  • Lysandros Nikolaou
  • Matti Picus
  • Nathan Goldbaum
  • Patrick J. Roddy +
  • Raghuveer Devulapalli
  • Ralf Gommers
  • Rostan Tabet +
  • Sebastian Berg
  • Tyler Reddy
  • Yannik Wicke +

Pull requests merged

A total of 24 pull requests were merged for this release.

  • #26711: MAINT: prepare 2.0.x for further development
  • #26792: TYP: fix incorrect import in ma/extras.pyi stub
  • #26793: DOC: Mention '1.25' legacy printing mode in set_printoptions
  • #26794: DOC: Remove mention of NaN and NAN aliases from constants

... (truncated)

Commits
  • 4c9f431 Merge pull request #27000 from charris/prepare-2.0.1
  • 0e70e00 REL: Prepare for the NumPy 2.0.1 release [wheel build]
  • 4d10ffc Merge pull request #26995 from charris/backport-26985
  • 764b667 BUG: Add object cast to avoid warning with limited API
  • 9be6ad6 Merge pull request #26971 from charris/backport-26935
  • 6d950e9 BUG: fix f2py tests to work with v2 API
  • 89630c0 Merge pull request #26962 from charris/backport-26919
  • 88fa840 TST: Apply test suggestion by Nathan for rlstrip fixes
  • a9da01e BUG,MAINT: Fix utf-8 character stripping memory access
  • 6afbbf8 Merge pull request #26963 from charris/backport-26930
  • Additional commits viewable in compare view

Updates tensorflow-serving-api from 2.16.1 to 2.17.0

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@dependabot
Bump the tensorflow group across 1 directory with 7 updates
b8e99e8 
Bumps the tensorflow group with 7 updates in the /tensorflow directory:

| Package | From | To |
| --- | --- | --- |
| [jupyterlab](https://github.com/jupyterlab/jupyterlab) | `4.3.0a0` | `4.3.0a2` |
| [jupyterhub](https://github.com/jupyterhub/jupyterhub) | `5.0.0` | `5.1.0` |
| [notebook](https://github.com/jupyter/notebook) | `7.3.0a0` | `7.3.0a1` |
| [tensorflow](https://github.com/tensorflow/tensorflow) | `2.15.0` | `2.17.0` |
| [pillow](https://github.com/python-pillow/Pillow) | `10.3.0` | `10.4.0` |
| [numpy](https://github.com/numpy/numpy) | `2.0.0` | `2.0.1` |
| [tensorflow-serving-api](http://tensorflow.org/serving) | `2.16.1` | `2.17.0` |



Updates `jupyterlab` from 4.3.0a0 to 4.3.0a2
- [Release notes](https://github.com/jupyterlab/jupyterlab/releases)
- [Changelog](https://github.com/jupyterlab/jupyterlab/blob/main/CHANGELOG.md)
- [Commits](https://github.com/jupyterlab/jupyterlab/compare/@jupyterlab/lsp@4.3.0-alpha.0...@jupyterlab/lsp@4.3.0-alpha.2)

Updates `jupyterhub` from 5.0.0 to 5.1.0
- [Changelog](https://github.com/jupyterhub/jupyterhub/blob/main/RELEASE.md)
- [Commits](jupyterhub/jupyterhub@5.0.0...5.1.0)

Updates `notebook` from 7.3.0a0 to 7.3.0a1
- [Release notes](https://github.com/jupyter/notebook/releases)
- [Changelog](https://github.com/jupyter/notebook/blob/main/CHANGELOG.md)
- [Commits](https://github.com/jupyter/notebook/compare/@jupyter-notebook/tree@7.3.0-alpha.0...@jupyter-notebook/tree@7.3.0-alpha.1)

Updates `tensorflow` from 2.15.0 to 2.17.0
- [Release notes](https://github.com/tensorflow/tensorflow/releases)
- [Changelog](https://github.com/tensorflow/tensorflow/blob/master/RELEASE.md)
- [Commits](tensorflow/tensorflow@v2.15.0...v2.17.0)

Updates `pillow` from 10.3.0 to 10.4.0
- [Release notes](https://github.com/python-pillow/Pillow/releases)
- [Changelog](https://github.com/python-pillow/Pillow/blob/main/CHANGES.rst)
- [Commits](python-pillow/Pillow@10.3.0...10.4.0)

Updates `numpy` from 2.0.0 to 2.0.1
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/RELEASE_WALKTHROUGH.rst)
- [Commits](numpy/numpy@v2.0.0...v2.0.1)

Updates `tensorflow-serving-api` from 2.16.1 to 2.17.0

---
updated-dependencies:
- dependency-name: jupyterlab
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: tensorflow
- dependency-name: jupyterhub
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: tensorflow
- dependency-name: notebook
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: tensorflow
- dependency-name: tensorflow
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: tensorflow
- dependency-name: pillow
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: tensorflow
- dependency-name: numpy
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: tensorflow
- dependency-name: tensorflow-serving-api
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: tensorflow
...

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@dependabot dependabot bot requested a review from tylertitsworth as a code owner August 5, 2024 13:14
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github-actions bot commented Aug 5, 2024

Dependency Review

The following issues were found:
  • ✅ 0 vulnerable package(s)
  • ✅ 0 package(s) with incompatible licenses
  • ✅ 0 package(s) with invalid SPDX license definitions
  • ⚠️ 1 package(s) with unknown licenses.
See the Details below.

License Issues

tensorflow/serving/requirements.txt

PackageVersionLicenseIssue Type
tensorflow-serving-api2.17.0NullUnknown License

OpenSSF Scorecard

PackageVersionScoreDetails
pip/jupyterhub 5.1.0 🟢 5.4
Details
CheckScoreReason
Code-Review🟢 4Found 6/15 approved changesets -- score normalized to 4
Maintained🟢 1030 commit(s) and 21 issue activity found in the last 90 days -- score normalized to 10
CII-Best-Practices⚠️ 0no effort to earn an OpenSSF best practices badge detected
License🟢 9license file detected
Signed-Releases⚠️ -1no releases found
Branch-Protection⚠️ -1internal error: error during branchesHandler.setup: internal error: githubv4.Query: Resource not accessible by integration
Dangerous-Workflow🟢 10no dangerous workflow patterns detected
Security-Policy🟢 10security policy file detected
Binary-Artifacts🟢 10no binaries found in the repo
Token-Permissions⚠️ 0detected GitHub workflow tokens with excessive permissions
Fuzzing⚠️ 0project is not fuzzed
SAST⚠️ 0SAST tool is not run on all commits -- score normalized to 0
Packaging🟢 10packaging workflow detected
Pinned-Dependencies⚠️ 0dependency not pinned by hash detected -- score normalized to 0
Vulnerabilities⚠️ 28 existing vulnerabilities detected
pip/jupyterlab 4.3.0a2 🟢 5.7
Details
CheckScoreReason
Code-Review🟢 8Found 25/29 approved changesets -- score normalized to 8
Maintained🟢 1030 commit(s) and 14 issue activity found in the last 90 days -- score normalized to 10
CII-Best-Practices⚠️ 2badge detected: InProgress
License🟢 9license file detected
Signed-Releases⚠️ 0Project has not signed or included provenance with any releases.
Branch-Protection⚠️ -1internal error: error during GetBranch(4.2.x): error during branchesHandler.query: internal error: githubv4.Query: Resource not accessible by integration
Dangerous-Workflow🟢 10no dangerous workflow patterns detected
Packaging⚠️ -1packaging workflow not detected
Token-Permissions⚠️ 0detected GitHub workflow tokens with excessive permissions
SAST🟢 10SAST tool is run on all commits
Binary-Artifacts🟢 10no binaries found in the repo
Security-Policy🟢 10security policy file detected
Fuzzing⚠️ 0project is not fuzzed
Pinned-Dependencies⚠️ 0dependency not pinned by hash detected -- score normalized to 0
Vulnerabilities⚠️ 28 existing vulnerabilities detected
pip/notebook 7.3.0a1 🟢 4.2
Details
CheckScoreReason
Code-Review⚠️ 2Found 8/30 approved changesets -- score normalized to 2
Maintained🟢 1018 commit(s) and 11 issue activity found in the last 90 days -- score normalized to 10
CII-Best-Practices⚠️ 0no effort to earn an OpenSSF best practices badge detected
License🟢 10license file detected
Signed-Releases⚠️ 0Project has not signed or included provenance with any releases.
Branch-Protection⚠️ -1internal error: error during GetBranch(7.2.x): error during branchesHandler.query: internal error: githubv4.Query: Resource not accessible by integration
Dangerous-Workflow🟢 10no dangerous workflow patterns detected
Binary-Artifacts🟢 10no binaries found in the repo
Packaging⚠️ -1packaging workflow not detected
Token-Permissions⚠️ 0detected GitHub workflow tokens with excessive permissions
Pinned-Dependencies⚠️ 0dependency not pinned by hash detected -- score normalized to 0
Fuzzing⚠️ 0project is not fuzzed
Security-Policy🟢 10security policy file detected
SAST⚠️ 0SAST tool is not run on all commits -- score normalized to 0
Vulnerabilities⚠️ 012 existing vulnerabilities detected
pip/pillow 10.4.0 🟢 7.7
Details
CheckScoreReason
Code-Review🟢 10all changesets reviewed
Maintained🟢 1030 commit(s) and 24 issue activity found in the last 90 days -- score normalized to 10
CII-Best-Practices⚠️ 2badge detected: InProgress
License🟢 9license file detected
Signed-Releases⚠️ -1no releases found
Dangerous-Workflow🟢 10no dangerous workflow patterns detected
Branch-Protection⚠️ 0branch protection not enabled on development/release branches
Security-Policy🟢 10security policy file detected
Token-Permissions🟢 10GitHub workflow tokens follow principle of least privilege
SAST⚠️ 0SAST tool is not run on all commits -- score normalized to 0
Binary-Artifacts🟢 10no binaries found in the repo
Fuzzing🟢 10project is fuzzed
Vulnerabilities🟢 100 existing vulnerabilities detected
Pinned-Dependencies⚠️ 0dependency not pinned by hash detected -- score normalized to 0
Packaging🟢 10packaging workflow detected
pip/tensorflow 2.17.0 🟢 7.8
Details
CheckScoreReason
Binary-Artifacts🟢 7binaries present in source code
Branch-Protection⚠️ -1internal error: error during branchesHandler.setup: internal error: githubv4.Query: Resource not accessible by integration
CI-Tests🟢 924 out of 25 merged PRs checked by a CI test -- score normalized to 9
CII-Best-Practices🟢 5badge detected: Passing
Code-Review⚠️ 1Found 5/30 approved changesets -- score normalized to 1
Contributors🟢 10project has 21 contributing companies or organizations
Dangerous-Workflow🟢 10no dangerous workflow patterns detected
Dependency-Update-Tool🟢 10update tool detected
Fuzzing🟢 10project is fuzzed
License🟢 10license file detected
Maintained🟢 1030 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10
Packaging🟢 10packaging workflow detected
Pinned-Dependencies⚠️ 1dependency not pinned by hash detected -- score normalized to 1
SAST⚠️ 2SAST tool is not run on all commits -- score normalized to 2
Security-Policy🟢 10security policy file detected
Signed-Releases⚠️ -1no releases found
Token-Permissions🟢 9detected GitHub workflow tokens with excessive permissions
Vulnerabilities🟢 100 existing vulnerabilities detected
pip/numpy 2.0.1 🟢 8.3
Details
CheckScoreReason
Binary-Artifacts🟢 10no binaries found in the repo
Branch-Protection⚠️ -1internal error: error during branchesHandler.setup: internal error: githubv4.Query: Resource not accessible by integration
CI-Tests🟢 1015 out of 15 merged PRs checked by a CI test -- score normalized to 10
CII-Best-Practices⚠️ 0no effort to earn an OpenSSF best practices badge detected
Code-Review🟢 9Found 13/14 approved changesets -- score normalized to 9
Contributors🟢 10project has 95 contributing companies or organizations
Dangerous-Workflow🟢 10no dangerous workflow patterns detected
Dependency-Update-Tool🟢 10update tool detected
Fuzzing🟢 10project is fuzzed
License🟢 9license file detected
Maintained🟢 1030 commit(s) and 23 issue activity found in the last 90 days -- score normalized to 10
Packaging⚠️ -1packaging workflow not detected
Pinned-Dependencies🟢 3dependency not pinned by hash detected -- score normalized to 3
SAST🟢 9SAST tool detected but not run on all commits
Security-Policy🟢 9security policy file detected
Signed-Releases⚠️ 0Project has not signed or included provenance with any releases.
Token-Permissions🟢 10GitHub workflow tokens follow principle of least privilege
Vulnerabilities🟢 100 existing vulnerabilities detected
pip/pillow 10.4.0 🟢 7.7
Details
CheckScoreReason
Code-Review🟢 10all changesets reviewed
Maintained🟢 1030 commit(s) and 24 issue activity found in the last 90 days -- score normalized to 10
CII-Best-Practices⚠️ 2badge detected: InProgress
License🟢 9license file detected
Signed-Releases⚠️ -1no releases found
Dangerous-Workflow🟢 10no dangerous workflow patterns detected
Branch-Protection⚠️ 0branch protection not enabled on development/release branches
Security-Policy🟢 10security policy file detected
Token-Permissions🟢 10GitHub workflow tokens follow principle of least privilege
SAST⚠️ 0SAST tool is not run on all commits -- score normalized to 0
Binary-Artifacts🟢 10no binaries found in the repo
Fuzzing🟢 10project is fuzzed
Vulnerabilities🟢 100 existing vulnerabilities detected
Pinned-Dependencies⚠️ 0dependency not pinned by hash detected -- score normalized to 0
Packaging🟢 10packaging workflow detected
pip/tensorflow 2.17.0 🟢 7.8
Details
CheckScoreReason
Binary-Artifacts🟢 7binaries present in source code
Branch-Protection⚠️ -1internal error: error during branchesHandler.setup: internal error: githubv4.Query: Resource not accessible by integration
CI-Tests🟢 924 out of 25 merged PRs checked by a CI test -- score normalized to 9
CII-Best-Practices🟢 5badge detected: Passing
Code-Review⚠️ 1Found 5/30 approved changesets -- score normalized to 1
Contributors🟢 10project has 21 contributing companies or organizations
Dangerous-Workflow🟢 10no dangerous workflow patterns detected
Dependency-Update-Tool🟢 10update tool detected
Fuzzing🟢 10project is fuzzed
License🟢 10license file detected
Maintained🟢 1030 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10
Packaging🟢 10packaging workflow detected
Pinned-Dependencies⚠️ 1dependency not pinned by hash detected -- score normalized to 1
SAST⚠️ 2SAST tool is not run on all commits -- score normalized to 2
Security-Policy🟢 10security policy file detected
Signed-Releases⚠️ -1no releases found
Token-Permissions🟢 9detected GitHub workflow tokens with excessive permissions
Vulnerabilities🟢 100 existing vulnerabilities detected
pip/tensorflow-serving-api 2.17.0 UnknownUnknown
pip/tensorflow 2.17.0 🟢 7.8
Details
CheckScoreReason
Binary-Artifacts🟢 7binaries present in source code
Branch-Protection⚠️ -1internal error: error during branchesHandler.setup: internal error: githubv4.Query: Resource not accessible by integration
CI-Tests🟢 924 out of 25 merged PRs checked by a CI test -- score normalized to 9
CII-Best-Practices🟢 5badge detected: Passing
Code-Review⚠️ 1Found 5/30 approved changesets -- score normalized to 1
Contributors🟢 10project has 21 contributing companies or organizations
Dangerous-Workflow🟢 10no dangerous workflow patterns detected
Dependency-Update-Tool🟢 10update tool detected
Fuzzing🟢 10project is fuzzed
License🟢 10license file detected
Maintained🟢 1030 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10
Packaging🟢 10packaging workflow detected
Pinned-Dependencies⚠️ 1dependency not pinned by hash detected -- score normalized to 1
SAST⚠️ 2SAST tool is not run on all commits -- score normalized to 2
Security-Policy🟢 10security policy file detected
Signed-Releases⚠️ -1no releases found
Token-Permissions🟢 9detected GitHub workflow tokens with excessive permissions
Vulnerabilities🟢 100 existing vulnerabilities detected

Scanned Manifest Files

tensorflow/jupyter-requirements.txt
  • jupyterhub@5.1.0
  • jupyterlab@4.3.0a2
  • notebook@7.3.0a1
  • jupyterhub@5.0.0
  • jupyterlab@4.3.0a0
  • notebook@7.3.0a0
tensorflow/requirements.txt
  • pillow@10.4.0
  • tensorflow@2.17.0
  • pillow@10.3.0
  • tensorflow@2.15.0
tensorflow/serving/requirements.txt
  • numpy@2.0.1
  • pillow@10.4.0
  • tensorflow@2.17.0
  • tensorflow-serving-api@2.17.0
  • numpy@2.0.0
  • pillow@10.3.0
  • tensorflow@2.16.1
  • tensorflow-serving-api@2.16.1
tensorflow/xpu-requirements.txt
  • tensorflow@2.17.0
  • tensorflow@2.15.0

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dependabot bot commented on behalf of github Aug 8, 2024

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

@dependabot dependabot bot closed this Aug 8, 2024
@dependabot dependabot bot deleted the dependabot/pip/tensorflow/tensorflow-73a55a3c49 branch August 8, 2024 15:24
jitendra42 pushed a commit to jitendra42/ai-containers that referenced this pull request Oct 23, 2024
Fix Manual Container CI (intel#274)
28d30fd 
* Update container-ci.yaml

* Update integration-test.yaml

* Update integration-test.yaml

* Update integration-test.yaml
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@tylertitsworth tylertitsworth Awaiting requested review from tylertitsworth

@jitendra42 jitendra42 Awaiting requested review from jitendra42 jitendra42 is a code owner

@sramakintel sramakintel Awaiting requested review from sramakintel sramakintel is a code owner

@sharvil10 sharvil10 Awaiting requested review from sharvil10 sharvil10 is a code owner

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