This commit introduces `BitColView` and `IntColView` to abstract over Columnar and Packed storage formats, implementing `BitSlice` and `IntSlice` for uniform column access. It adds `col_view()` accessors to `PersistentBitMatrix` and `PackedCompactIntMatrix`, explicitly panicking on implicit variants. The new types are publicly re-exported, and unit tests are added to validate per-element retrieval, aggregation methods, and parity with the original columnar representation.
Refactor `cmp_scalar`, `min`, `max`, `add`, and `diff` to operate directly on the primary byte array, deferring overflow slot resolution to a secondary pass. This eliminates HashMap lookups in the hot path and enables SIMD vectorization. Add six unit tests to validate correct promotion and demotion between storage slots when values cross the 255 threshold.
Implemented `sum()`, `count_nonzero()`, and `iter()` to complete the numeric vector interface. The builder now computes aggregate values across memory-mapped regions and overflow entries, while the reader delegates these operations to its inherent methods. The iterator provides zero-copy access to underlying `u32` elements.
Refactor `BitIter` to process `u64` chunks using word-aligned shifts instead of byte-level operations. Introduce a dedicated `MemoryBitIter` for `MemoryBitVec`, updating its `iter()` and `IntoIterator` implementations accordingly. Hide `MemoryBitIter` from the public API to narrow the crate's interface, while leveraging explicit alignment guarantees for safer and more efficient bit extraction.
Centralizes overflow handling and improves modularity by replacing manual mmap indexing and row loops with composable iterator patterns. This change leverages Rust's iterator traits for efficient, idiomatic column traversal while encapsulating data access in a dedicated view struct.
Refactors bit manipulation and distance calculations to leverage standardized `BitSlice` traits, replacing manual byte/word logic with safer, reusable methods. Extends `IntSlice` and `IntSliceMut` traits to expose direct memory-mapped access and overflow management, enabling efficient bulk data extraction and serialization. Replaces manual bit-shifting loops with optimized table-based unpacking and adds population count and distance metric methods for improved performance. Updates `PersistentBitVecBuilder` with file tracking and safe flushing, and aligns test imports with new trait bounds.
Introduce `byte_sum` and `byte_count_nonzero` to efficiently aggregate compact-int byte slices, bypassing per-element decoding and overflow map lookups. Refactor `sum()` and `count_nonzero()` across the matrix, reader, and traits modules to use direct memory-mapped slice iteration and idiomatic Rust iterators. Additionally, expose `MemoryIntIter` publicly and implement `IntoIterator` and `IntSlice` for `MemoryIntVec` to enable standard iteration and delegate aggregation to the new helpers.
Refactor parallel matrix construction by extracting reusable `pairwise_matrix` and `pairwise2_matrix` helpers, and consolidate binary record deserialization into dedicated parsing functions. Add `set` and `iter` methods to `BitSliceMut` and `MemoryBitVec` for ergonomic bit manipulation and iteration. Standardize JSON field extraction via `meta::field`, expose `MemoryBitIter`, and improve test reliability by automatically cleaning up temporary directories.
Introduce `MemoryBitVec` and `MemoryIntVec` for efficient in-memory storage with hybrid compression and overflow handling. Implement `BitSlice`, `BitSliceMut`, `IntSlice`, and `IntSliceMut` traits across persistent and memory-backed types to enable generic slice operations and bitwise/arithmetic overloads. Add `col_persist` and `col_as_memory` methods to `BitMatrix` and `IntMatrix` for efficient column extraction. Align with the new single-pass rebuild architecture by supporting fast kmer filtering and matrix rebuilding. Includes comprehensive tests and profiling instrumentation for the packing phase.
Replaces `rayon` parallel iteration across index, rebuild, reindex, and select modules with a custom `PartitionRunner`. This introduces NUMA-aware task distribution with CPU pinning and round-robin scheduling, eliminating `Arc`, `Mutex`, and atomic synchronization primitives in favor of a flat, pre-spawned worker architecture. Error handling is simplified via `.map_err()` and the `?` operator, while progress bar updates are decoupled into dedicated callbacks.
Introduces allocation-free `sum()` and `count_nonzero()` methods for compact integer vectors, extending the `ColumnWeights` trait with `partial_kmer_counts`. Adds parallel partition scanning to the k-mer index for computing per-genome distinct k-mer counts, and exposes a new `--stats` CLI flag to output these statistics as CSV.
Introduces parallelized pairwise distance matrix computation for Jaccard, Hamming, Bray-Curtis, Euclidean, and Hellinger metrics across `Columnar`, `Packed`, and `Implicit` matrix variants. Adds trait methods and convenience wrappers, safely handles normalization and zero-denominator edge cases, and updates test suites to import required traits for validation.
Add the `tracing` crate to `obidebruinj`, `obisys`, and resolve it in `Cargo.lock`. Replace `eprintln!` statements with structured `debug!` and `info!` macros. Introduce a `TracedBar` wrapper for progress bars and enhance the `Stage` lifecycle to emit structured events for timing, memory metrics, and swap warnings. Add a progress spinner for unitig degree computation. Extend `PersistentBitMatrix` with columnar bit-vector operations and parallel distance methods, enabling uniform distance computations across all storage layouts while replacing previous panics with dimension-based fallbacks.
Explicitly close file handles and remove temporary artifacts after serialization to prevent disk space leaks. Additionally, compact internal matrix structures immediately upon loading the KmerIndex to improve memory efficiency and prepare for downstream operations.
Unifies bit and integer matrix storage into `PersistentBitMatrix` and `PersistentCompactIntMatrix` enums, supporting both columnar and memory-mapped single-file layouts. Introduces `LayerMeta` to persist layer dimensions as `layer_meta.json`, enabling correct initialization of implicit presence matrices. Adds CLI commands (`pack` and `--upgrade-index`) to convert existing columnar indices to the compact format and backfill missing metadata. Updates partitionner and layered map logic to use the new persistent builders, optimized memory allocation, and auto-detected storage backends.
Introduce zero-allocation row extraction and query result buffers across `obicompactvec` and `obikpartitionner` to eliminate per-kmer heap allocations. Replace in-memory MPHF deserialization with memory-mapped, zero-copy views to reduce runtime memory footprint. Add configurable I/O chunking, a RAM-aware `--chunk-size` parameter, and system memory monitoring via the new `sysinfo` dependency. Re-export `PreloadedIndex` for external consumers.
This commit introduces a new `distance` CLI subcommand that computes pairwise genomic distance matrices using configurable metrics (Jaccard, Hamming, Bray-Curtis, Euclidean, and Hellinger). It optionally generates phylogenetic trees (NJ or UPGMA) in Newick format and outputs results as CSV. The implementation adds a robust distance computation backend that dynamically routes to optimized backends based on index configuration, supports parallel iteration, and gracefully handles missing data. Additionally, it adds a `dump` task for exporting k-mer to genome mappings as CSV, introduces an `InvalidInput` error variant, updates dependencies to support numerical operations and tree construction, and performs minor module reorganizations.
Introduces a new `merge` CLI subcommand and underlying implementation to consolidate multiple pre-indexed k-mer indexes into a single output. Adds `append_column` methods to persistent bit and int matrices to enable incremental genome column expansion without rebuilding the MPHF. Includes new error variants for index readiness and configuration mismatches, adds a `--force` flag to the index command, and updates documentation and navigation structure accordingly.
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.
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.
Introduces parallel `count_ones` for `BitMatrix` and parallel column-sum aggregation alongside three pairwise distance constructors (Bray-Curtis, Euclidean, Hellinger) for `IntMatrix`. These methods support partial, layer-wise data by accepting precomputed global column sums for normalization, enabling additive decomposition across partitions. Includes unit tests verifying mathematical equivalence and partition additivity.
Introduce parallel distance matrix generation using `ndarray` and `rayon` for both `BitMatrix` and `IntMatrix`. Adds full and additive-partial variants for Jaccard, Hamming, Bray-Curtis, Euclidean, and Hellinger metrics. Includes comprehensive unit tests verifying matrix symmetry, zero diagonals, and numerical correctness against pairwise calculations.
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.
Introduces `PersistentBitMatrix` and `PersistentCompactIntMatrix` to replace single-file vector storage with a column-major, directory-based layout. Each column is persisted as an individual file alongside a lightweight `meta.json` for dimension tracking. Migrates `obilayeredmap` to use these multi-column structures, updating Rust APIs, query return types, and build signatures. Includes comprehensive documentation, unit and integration tests for persistence and accessors, and refactors distance calculation helpers.
Introduces PersistentBitVec, a dense, memory-mapped bit vector optimized for bulk u64-word operations and SIMD acceleration, complete with bitwise operators and Jaccard/Hamming distance metrics. Upgrades PersistentCompactIntVec to a unified .pciv format using 64-bit indices and offsets, consolidating the binary layout and updating builder/reader lifecycles accordingly. Adds corresponding documentation, updates MkDocs navigation, and implements a comprehensive test suite for persistence round-trips, edge cases, and metric accuracy.
Adds a `sum()` method to compute the aggregate of all elements using u64 arithmetic to safely handle potential overflows. Introduces a `sumadd()` method for element-wise addition into the builder, enforcing strict length equality and using `checked_add` for safe accumulation. Includes unit tests to verify correct aggregation and overflow safety.
Refactor `PersistentCompactIntVecBuilder` to replace in-memory `Vec<u8>` with `MmapMut` for primary storage. Decouples initialization from finalization by updating `finalize_pciv` to truncate, append overflow data, and overwrite the header placeholder. Adds file path tracking via a new `path()` accessor, implements `build_from` for efficient copying, and introduces arithmetic/set operations (`min`, `max`, `sum`, `diff`). Expands test coverage for persistence roundtrips, mutations, iteration, and the new vector operations.
Add an `Iter` struct that implements `Iterator` and `ExactSizeIterator` to enable idiomatic traversal of `&PersistentCompactIntVec`. The iterator maintains `slot` and `overflow_pos` state to correctly yield `u32` values from both primary and overflow memory regions. Includes three unit tests validating iteration correctness against direct indexing, accurate `len()` tracking, and proper reference-based iteration.
Refactors the storage format to separate primary and overflow data into distinct files. Introduces a cache-friendly sparse index with dynamically computed step and entry counts. Consolidates dual memory-mapped regions into a single file with explicit header parsing and validation, replacing unsafe slice casting with direct byte-offset indexing. Updates the test suite to accommodate the new file structure.
Introduce the `obicompactvec` crate, featuring a two-tier, memory-mapped integer vector that uses a primary `u8` array with a sentinel for overflow dispatch and a sparse L1-resident index for fast random access. Implement builder and reader modules with zero-copy serialization and comprehensive test coverage. Update `obilayeredmap` to replace the default hash function with a cache-line-optimized `Mphf`, adding explicit bounds checking and duplicate-slot detection. Add documentation for both modules and update project configuration files accordingly.
Eric Coissac