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[Snyk] Security upgrade pyarrow from 12.0.1 to 14.0.1 #10

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@abdulrahman305 abdulrahman305 commented Nov 9, 2023

This PR was automatically created by Snyk using the credentials of a real user.


Snyk has created this PR to fix one or more vulnerable packages in the `pip` dependencies of this project.

Changes included in this PR

  • Changes to the following files to upgrade the vulnerable dependencies to a fixed version:
    • gpt4all-training/requirements.txt
⚠️ Warning
torch 1.13.1 requires nvidia-cudnn-cu11, which is not installed.
torch 1.13.1 requires nvidia-cuda-nvrtc-cu11, which is not installed.
torch 1.13.1 requires nvidia-cuda-runtime-cu11, which is not installed.
torch 1.13.1 requires nvidia-cublas-cu11, which is not installed.
scikit-learn 1.0.2 requires scipy, which is not installed.
nomic 2.0.14 requires pyarrow, which is not installed.
multiprocess 0.70.15 has requirement dill>=0.3.7, but you have dill 0.3.6.
datasets 2.13.2 requires pyarrow, which is not installed.

Vulnerabilities that will be fixed

By pinning:
Severity Priority Score (*) Issue Upgrade Breaking Change Exploit Maturity
critical severity 776/1000
Why? Recently disclosed, Has a fix available, CVSS 9.8
Deserialization of Untrusted Data
SNYK-PYTHON-PYARROW-6052811
pyarrow:
12.0.1 -> 14.0.1
No No Known Exploit

(*) Note that the real score may have changed since the PR was raised.

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.

Check the changes in this PR to ensure they won't cause issues with your project.


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

🛠 Adjust project settings

📚 Read more about Snyk's upgrade and patch logic


Learn how to fix vulnerabilities with free interactive lessons:

🦉 Deserialization of Untrusted Data

Summary by CodeRabbit

  • Chores
    • Added pyarrow>=14.0.1 to the project dependencies for enhanced security.
    • No changes made to the existing matplotlib dependency.

The following vulnerabilities are fixed by pinning transitive dependencies:
- https://snyk.io/vuln/SNYK-PYTHON-PYARROW-6052811
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coderabbitai bot commented Nov 9, 2023

Walkthrough

The project has been updated to include a new dependency, pyarrow>=14.0.1, added to mitigate a vulnerability. This change is reflected in the requirements.txt file. The matplotlib dependency remains unchanged.

Changes

File Path Change Summary
.../requirements.txt Added pyarrow>=14.0.1 dependency to avoid a vulnerability. No changes to matplotlib dependency.

Poem

🍂 As the leaves of November fall, 🍁

In the world of code, we stand tall. 🐇

With pyarrow in our quiver, 🏹

We're ready to deliver. 📦

No vulnerability shall stall, 💪

Our project's rise and gallant call. 📣

So here's to changes, big and small, 🥂

In the spirit of autumn's sprawl. 🍂


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Review Status

Actionable comments generated: 0

Configuration used: CodeRabbit UI

Commits Files that changed from the base of the PR and between a04306e and 51ace70.
Files selected for processing (1)
  • gpt4all-training/requirements.txt (1 hunks)
Additional comments: 1
gpt4all-training/requirements.txt (1)
  • 12-16: The addition of pyarrow>=14.0.1 is a necessary change to address the security vulnerability. Ensure that the upgrade does not break any existing functionality that depends on pyarrow. Also, consider running a full test suite to verify the compatibility of the new version with the rest of the project.

@gitauto-ai gitauto-ai bot added the gitauto label Oct 3, 2024
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