Commit Graph

4 Commits

Author SHA1 Message Date
Eric Coissac 13e69e23c9 feat: introduce trait-based distance aggregation and layered store
Introduces ColumnWeights, CountPartials, and BitPartials traits to compute and finalize partial distance matrices. Implements these traits for PersistentBitMatrix, PersistentCompactIntMatrix, and a new LayeredStore<S> wrapper that aggregates metrics across layers via parallel reduction. Adds ndarray for numerical aggregation and updates architecture documentation to reflect the trait-driven design and pending refactoring roadmap.
2026-05-16 14:41:49 +08:00
Eric Coissac 45d49ed501 docs: document k-mer index architecture and refactor distance metrics
Add comprehensive documentation for the `obilayeredmap` crate, `PersistentCompactIntVec`, `PersistentBitVec`, and the hierarchical k-mer index architecture, including sidebar navigation updates across all documentation pages. Refactor the Bray-Curtis distance computation in `obicompactvec` to decouple numerator and denominator calculations, replacing direct pairwise calls with explicit loops over precomputed sums. Update tests to verify column sum accuracy and align with the simplified API.
2026-05-15 21:24:30 +08:00
Eric Coissac 1881e98bad feat(bitvec): add partial Jaccard, fix padding, optimize constructor
Introduces `partial_jaccard_dist` to return raw intersection and union counts, improving Jaccard distance flexibility. Corrects `not()` to explicitly zero padding bits in the final word, ensuring accurate bit-counting for partially-filled words. Adds an optimized `build_from_counts` constructor.
2026-05-15 15:04:10 +08:00
Eric Coissac de3f9b16cf first implementation but far to be optimal 2026-04-19 12:17:16 +02:00