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[Snyk] Security upgrade zipp from 3.15.0 to 3.19.1#151

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[Snyk] Security upgrade zipp from 3.15.0 to 3.19.1#151
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Snyk has created this PR to fix 1 vulnerabilities in the pip dependencies of this project.

Snyk changed the following file(s):

  • AI-and-Analytics/Getting-Started-Samples/INC-Quantization-Sample-for-PyTorch/requirements.txt
⚠️ Warning
transformers 4.30.2 requires safetensors, which is not installed.
scikit-learn 1.0.2 requires scipy, which is not installed.
multiprocess 0.70.15 has requirement dill>=0.3.7, but you have dill 0.3.6.

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  • This PR was automatically created by Snyk using the credentials of a real user.
  • Some vulnerabilities couldn't be fully fixed and so Snyk will still find them when the project is tested again. This may be because the vulnerability existed within more than one direct dependency, but not all of the affected dependencies could be upgraded.

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…-for-PyTorch/requirements.txt to reduce vulnerabilities

The following vulnerabilities are fixed by pinning transitive dependencies:
- https://snyk.io/vuln/SNYK-PYTHON-ZIPP-7430899
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gitnotebooks Bot commented Feb 11, 2026

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Summary of Changes

Hello @Stars1233, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request addresses a security vulnerability by upgrading the zipp dependency in the requirements.txt file. It was automatically created by Snyk to ensure the project's dependencies are secure, specifically targeting a vulnerability found in the zipp package.

Highlights

  • Security Upgrade: Upgraded the zipp package from version 3.15.0 to 3.19.1 to address 1 identified vulnerability, as detected by Snyk.
  • Automated Fix: This pull request was automatically generated by Snyk to apply the necessary security fix for the zipp dependency.

🧠 New Feature in Public Preview: You can now enable Memory to help Gemini Code Assist learn from your team's feedback. This makes future code reviews more consistent and personalized to your project's style. Click here to enable Memory in your admin console.

Changelog
  • AI-and-Analytics/Getting-Started-Samples/INC-Quantization-Sample-for-PyTorch/requirements.txt
    • Updated the zipp dependency to version 3.19.1.
    • Added a comment indicating that zipp is not directly required but pinned by Snyk to avoid a vulnerability.
Activity
  • Snyk automatically created this pull request to fix a security vulnerability.
  • The PR description includes warnings about potential dependency conflicts and notes about Snyk's automated process.
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Code Review

This pull request, automatically generated by Snyk, upgrades the zipp package to version 3.19.1 to address a security vulnerability. The change is appropriate and helps improve the project's security posture. I have one minor suggestion to add a newline at the end of the requirements.txt file, which is a common best practice for text files.

transformers>=4.27.4
datasets>=2.4.0 No newline at end of file
datasets>=2.4.0
zipp>=3.19.1 # not directly required, pinned by Snyk to avoid a vulnerability No newline at end of file

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medium

It's a good practice for text files to end with a newline character. This adheres to POSIX standards and prevents potential issues with some command-line tools and scripts that process text files. Please add a newline at the end of this line.

zipp>=3.19.1 # not directly required, pinned by Snyk to avoid a vulnerability

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