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@wsxrdv wsxrdv commented Jan 6, 2026

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Summary of Changes

Hello @wsxrdv, 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 focuses on optimizing the R class within the Correlation Power Analysis (CPA) module by implementing __slots__. This change is a targeted enhancement to reduce the memory footprint of R class instances and improve the efficiency of attribute access, contributing to overall performance improvements in the CPA computations.

Highlights

  • Performance Optimization: Introduced __slots__ to the R class in scaaml/stats/cpa/cpa.py to optimize memory usage and potentially speed up attribute access for its intermediate value storage.

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Code Review

This pull request adds __slots__ to the R class, which is a good optimization for memory usage and attribute access performance in the CPA calculations. The implementation is correct, including all necessary instance attributes. No issues were found with this change.

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Pull Request Test Coverage Report for Build 20746974862

Details

  • 1 of 1 (100.0%) changed or added relevant line in 1 file are covered.
  • No unchanged relevant lines lost coverage.
  • Overall coverage increased (+0.004%) to 86.516%

Totals Coverage Status
Change from base Build 20746814368: 0.004%
Covered Lines: 3099
Relevant Lines: 3582

💛 - Coveralls

@jmichelp jmichelp added this pull request to the merge queue Jan 6, 2026
Merged via the queue into google:main with commit 7824258 Jan 6, 2026
16 checks passed
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3 participants