Introduces `CommonArgs::validate()` to enforce strict constraints on `--kmer-size` (odd, 11–31), `--minimizer-size` (odd, 3–k−1), and `z` (strictly less than k). This validation is applied at the entry point of the `superkmer` and `index` commands to prevent invalid configurations, avoid palindromes, prevent u64 overflow, and ensure positive effective indexing sizes. Documentation is updated to reflect these runtime checks and immediate termination on invalid input.
Added `is_empty()`, `clear()`, and `iter()` methods to the rolling statistics buffer to enable standard traversal and state reset operations. Documented genome label constraints, specifying forbidden characters, empty label rejection, space quoting requirements, and auto-derived label bypass rules. Additionally, updated doc comments and added `#[allow(dead_code)]` attributes for `kmer_offset` and `n_kmers` fields to suppress compiler warnings while reserving them for future `--detail` coverage vector logic.
Introduces a `utils` CLI subcommand to enable in-place genome label renaming without full reindexing. Adds strict label validation to reject empty strings, filesystem separators, and control characters, ensuring safe CSV serialization. Updates index metadata, renames corresponding spectrum JSON files, and registers the command in the main dispatch logic. CLI reference documentation is also updated.
Refactor `Kmer`, `SuperKmer`, and chunk reader into optimized, generic representations with compile-time length parameters and bitwise operations. Update the pipeline and scheduler to support batch processing, 1→N flat transformations, and multi-source merging. Introduce an approximate evidence mode using b-bit fingerprints and `.idx` files, alongside existing exact mode. Update CLI documentation, minimizer selection, and query output schema accordingly.
Formalize the two-phase MPHF indexing architecture and update Phase 6 to use `evidence.bin` for direct kmer extraction. Simplify the evidence and unitig storage layouts to flat packed formats enabling O(1) random access. Introduce aggregation traits (`ColumnWeights`, `CountPartials`, `BitPartials`) to support additive distance metric decomposition across partitions. Narrow the documented scope from metagenomic to individual genome datasets, and replace speculative open questions with concrete implementation specifications.
Eric Coissac