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[Snyk] Fix for 2 vulnerabilities #42

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@cpdough cpdough commented Jun 16, 2025

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Snyk has created this PR to fix 2 vulnerabilities in the pip dependencies of this project.

Snyk changed the following file(s):

  • requirements.txt
⚠️ Warning 
xgboost 1.6.2 requires scipy, which is not installed.
sweetviz 2.3.1 requires scipy, which is not installed.
statsmodels 0.13.5 requires scipy, which is not installed.
statsmodels 0.13.5 requires scipy, which is not installed.
scikit-learn 1.0.2 requires scipy, which is not installed.
pyOpenSSL 23.3.0 has requirement cryptography<42,>=41.0.5, but you have cryptography 40.0.2.
category-encoders 2.6.4 requires scipy, which is not installed.

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  • 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.

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