[Snyk] Security upgrade zipp from 3.15.0 to 3.19.1

[q1blue]

Snyk has created this PR to fix 1 vulnerabilities in the pip dependencies of this project.

Snyk changed the following file(s):

• examples/YOLOv8-Action-Recognition/requirements.txt

⚠️ Warning

ultralytics 8.0.151 requires scipy, which is not installed.
ultralytics 8.0.151 requires numpy, which is not installed.
transformers 4.30.2 requires safetensors, which is not installed.
transformers 4.30.2 requires numpy, which is not installed.
torchvision 0.14.1 requires numpy, which is not installed.
seaborn 0.12.2 requires numpy, which is not installed.
pandas 1.3.5 requires numpy, which is not installed.
opencv-python 4.13.0.90 requires numpy, which is not installed.
matplotlib 3.5.3 requires numpy, which is not installed.

---

Important

• Check the changes in this PR to ensure they won't cause issues with your project.
• Max score is 1000. Note that the real score may have changed since the PR was raised.
• 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.

---

Note: You are seeing this because you or someone else with access to this repository has authorized Snyk to open fix PRs.

For more information:
🧐 View latest project report
📜 Customise PR templates
🛠 Adjust project settings
📚 Read about Snyk's upgrade logic

---

Learn how to fix vulnerabilities with free interactive lessons:

🦉 Learn about vulnerability in an interactive lesson of Snyk Learn.

[gemini-code-assist]

Summary of Changes

Hello @q1blue, 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, automatically generated by Snyk, focuses on enhancing the project's security posture by upgrading the zipp package to a more secure version. The update specifically targets a requirements.txt file within an example directory, ensuring that a known vulnerability is mitigated without altering the project's core dependencies or functionality. The primary goal is to maintain a secure and stable development environment.

Highlights

• Security Upgrade: This pull request upgrades the zipp package from version 3.15.0 to 3.19.1 to address 1 identified vulnerability.
• Automated Fix: The change was automatically generated by Snyk to resolve a security issue in the project's pip dependencies.
• Dependency Pinning: The zipp package is pinned to the new version in examples/YOLOv8-Action-Recognition/requirements.txt, explicitly noting it's not a direct requirement but pinned for vulnerability avoidance.

Changelog

• examples/YOLOv8-Action-Recognition/requirements.txt
  • Added zipp>=3.19.1 to the list of requirements.
  • Included a comment indicating that zipp is not directly required by the project but is pinned by Snyk to avoid a vulnerability.

Activity

• The pull request was automatically created by Snyk to fix identified vulnerabilities.
• A warning is present regarding several common Python libraries (ultralytics, transformers, torchvision, seaborn, pandas, opencv-python, matplotlib) requiring scipy and numpy, which are not installed in the environment where Snyk ran.
• The PR description notes that some vulnerabilities might not be fully fixed, but this specific zipp vulnerability is addressed.
• Snyk provides links to view the latest project report, customize PR templates, adjust project settings, and learn about Snyk's upgrade logic and interactive lessons.

Using Gemini Code Assist

The full guide for Gemini Code Assist can be found on our documentation page, here are some quick tips.

Invoking Gemini

You can request assistance from Gemini at any point by creating a comment using either /gemini <command> or @gemini-code-assist <command>. Below is a summary of the supported commands on the current page.

Feature	Command	Description
Code Review	/gemini review	Performs a code review for the current pull request in its current state.
Pull Request Summary	/gemini summary	Provides a summary of the current pull request in its current state.
Comment	@gemini-code-assist	Responds in comments when explicitly tagged, both in pull request comments and review comments.
Help	/gemini help	Displays a list of available commands.

Customization

To customize Gemini Code Assist for GitHub experience, repository maintainers can create a configuration file and/or provide a custom code review style guide (such as PEP-8 for Python) by creating and adding files to a .gemini/ folder in the base of the repository. Detailed instructions can be found here.

Limitations & Feedback

Gemini Code Assist may make mistakes. Please leave feedback on any instances where its feedback is incorrect or counter productive. You can react with 👍 and 👎 on @gemini-code-assist comments. If you're interested in giving your feedback about your experience with Gemini Code Assist for Github and other Google products, sign up here.

You can also get AI-powered code generation, chat, as well as code reviews directly in the IDE at no cost with the Gemini Code Assist IDE Extension.

Footnotes

1. Review the Privacy Notices, Generative AI Prohibited Use Policy, Terms of Service, and learn how to configure Gemini Code Assist in GitHub here. Gemini can make mistakes, so double check it and use code with caution. ↩

[gemini-code-assist]

Code Review

This pull request from Snyk correctly upgrades the zipp package to version 3.19.1 to resolve a security vulnerability. While this change is necessary, it also highlights an underlying issue with how dependencies are managed in this project. The requirements.txt file is incomplete, missing several key dependencies like numpy and torch, as noted in the Snyk warning within the PR description. I've added a comment with a suggestion to improve dependency management for better reproducibility and easier maintenance.

[gemini-code-assist]

Pinning zipp here is a good immediate fix for the security vulnerability. However, this manual addition of a transitive dependency highlights a larger issue with this requirements.txt file. As the Snyk warning in the PR description shows, many dependencies (like numpy, torch, scipy) are missing from this list. This can lead to non-reproducible builds and makes dependency management difficult.

For more robust dependency management, I recommend using a tool like pip-tools to generate a fully-pinned requirements.txt from a requirements.in file. This ensures that all direct and transitive dependencies are explicitly listed and version-locked, which improves build reproducibility and simplifies security patching.

A requirements.in file would look like this:

# requirements.in
ultralytics
transformers
# Add other direct dependencies like torch, opencv-python here

Then, running pip-compile requirements.in would generate a complete requirements.txt.