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Eric Coissac
99a8e69d10
This commit optimizes the low-complexity masking algorithm by: 1. Precomputing logarithm values and normalization tables to avoid repeated calculations 2. Replacing the MinMultiset-based sliding minimum with a more efficient deque-based implementation 3. Improving entropy calculation by using precomputed n*log(n) values 4. Simplifying the circular normalization process with precomputed tables 5. Removing unused imports and log statements The changes significantly improve performance while maintaining the same masking behavior.