This update introduces the core clustering algorithm, including parallel execution, dynamic block sizing, and SIMD-accelerated scoring methods. It also adds robust sequence preparation, k-mer analysis, and comprehensive test data fixtures for validation.
Introduces the BandedLCS function for efficient LCS scoring, supporting both scalar and SIMD implementations. Adds comprehensive unit tests, benchmarking utilities, and error handling for sequence constraints.
Eric Coissac