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…ents.txt to reduce vulnerabilities The following vulnerabilities are fixed by pinning transitive dependencies: - https://snyk.io/vuln/SNYK-PYTHON-PROTOBUF-15090738 - https://snyk.io/vuln/SNYK-PYTHON-TORCH-15123585
Summary of ChangesHello @alejandrosuarez, 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 automates the resolution of critical security vulnerabilities within the project's Python dependencies. By updating specific package versions in the Highlights
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Code Review
This Snyk pull request addresses two security vulnerabilities by updating protobuf and torch versions. The change is important for security. I've provided one suggestion to improve the requirements.txt file's clarity. The comment for the torch dependency is misleading because torch is a direct project dependency, and this should be reflected in the requirements file for better maintainability. As a general good practice, consider sorting the dependencies in this file alphabetically to make it easier to manage.
| Jinja2 | ||
| intel_extension_for_pytorch>=1.13 | ||
| protobuf>=6.33.5 # not directly required, pinned by Snyk to avoid a vulnerability | ||
| torch>=2.10.0 # not directly required, pinned by Snyk to avoid a vulnerability |
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torch is a direct dependency of this project (it's imported in textual_inversion_bf16.py), so it should be explicitly listed in requirements.txt. The comment # not directly required... is therefore misleading and should be removed. While this PR correctly adds the dependency, updating the line to reflect it's a direct dependency will improve clarity.
torch>=2.10.0
Snyk has created this PR to fix 2 vulnerabilities in the pip dependencies of this project.
Snyk changed the following file(s):
examples/research_projects/intel_opts/textual_inversion/requirements.txtImportant
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