[Snyk] Fix for 4 vulnerabilities

[hashim21223445]

Snyk has created this PR to fix 4 vulnerabilities in the pip dependencies of this project.

Snyk changed the following file(s):

• distributed/rpc/pipeline/requirements.txt

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• 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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[semanticdiff-com]

Review changes with  

[gemini-code-assist]

Summary of Changes

Hello @hashim21223445, 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, aims to enhance the security posture of the project by updating and pinning specific Python dependencies. The changes are focused on mitigating known vulnerabilities within the torch and numpy packages, ensuring the project utilizes more secure versions of these critical libraries.

Highlights

• Dependency Updates: The torch dependency has been upgraded from version 2.9.0 to 2.10.0 to address identified vulnerabilities.
• New Dependency Added: The numpy dependency has been explicitly added and pinned to version >=1.22.2 to mitigate specific security vulnerabilities, even though it was not a direct requirement previously.
• Vulnerability Fixes: This pull request addresses 4 identified security vulnerabilities within the project's pip dependencies, specifically targeting issues found in numpy and torch.

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[gemini-code-assist]

Code Review

This pull request, automatically generated by Snyk, aims to fix security vulnerabilities by updating torch and numpy. However, the proposed changes introduce critical dependency conflicts. The torch version 2.10.0 appears invalid, and the versions of torch, torchvision, and numpy are mutually incompatible. I have provided a suggestion to update to a set of compatible versions that also resolves the security vulnerabilities.

[gemini-code-assist]

This automated dependency update introduces several compatibility issues that will likely break the environment setup.

1. Invalid torch version: torch==2.10.0 is not a valid PyTorch release. It seems to be a typo for 1.10.0, which is the minimum version to fix the reported torch vulnerability.
2. torch and torchvision incompatibility: torchvision==0.7.0 is only compatible with torch==1.6.0. It is not compatible with torch==1.10.0 or newer versions.
3. torch and numpy incompatibility: The likely intended torch==1.10.0 requires numpy<1.22.0, which conflicts with the numpy>=1.22.2 pin required to fix the numpy vulnerabilities.

To resolve all these issues, I suggest upgrading torch and torchvision to versions that are compatible with the required numpy version. For example, torch==1.12.0 is compatible with numpy>=1.22.2 and the corresponding torchvision version is 0.13.0.

torch==1.12.0
torchvision==0.13.0
numpy>=1.22.2 # not directly required, pinned by Snyk to avoid a vulnerability

[snyk-io]

✅ Snyk checks have passed. No issues have been found so far.

Status	Scanner	Critical	High	Medium	Low	Total (0)
✅	Open Source Security	0	0	0	0	0 issues

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