Refactor k-mer index building to use disk-based KmerSetGroupBuilder

Refactor k-mer index building to use the new disk-based KmerSetGroupBuilder instead of the old KmerSet and FrequencyFilter approaches. This change introduces a more efficient and scalable approach to building k-mer indices by using partitioned disk storage with streaming operations.

- Replace BuildKmerIndex and BuildFrequencyFilterIndex with KmerSetGroupBuilder
- Add support for frequency filtering via WithMinFrequency option
- Remove deprecated k-mer set persistence methods
- Update CLI to use new builder approach
- Add new disk-based k-mer operations (union, intersect, difference, quorum)
- Introduce KDI (K-mer Delta Index) file format for efficient storage
- Add K-way merge operations for combining sorted k-mer streams
- Update documentation and examples to reflect new API

This refactoring provides better memory usage, faster operations on large datasets, and more flexible k-mer set operations.
This commit is contained in:
Eric Coissac
2026-02-09 21:57:03 +01:00
parent a016ad5b8a
commit f78543ee75
33 changed files with 3291 additions and 3636 deletions

View File

@@ -0,0 +1,47 @@
package obikmer
import (
"math"
log "github.com/sirupsen/logrus"
)
// DefaultMinimizerSize returns ceil(k / 2.5) as a reasonable default minimizer size.
func DefaultMinimizerSize(k int) int {
m := int(math.Ceil(float64(k) / 2.5))
if m < 1 {
m = 1
}
if m >= k {
m = k - 1
}
return m
}
// MinMinimizerSize returns the minimum m such that 4^m >= nworkers,
// i.e. ceil(log(nworkers) / log(4)).
func MinMinimizerSize(nworkers int) int {
if nworkers <= 1 {
return 1
}
return int(math.Ceil(math.Log(float64(nworkers)) / math.Log(4)))
}
// ValidateMinimizerSize checks and adjusts the minimizer size to satisfy constraints:
// - m >= ceil(log(nworkers)/log(4))
// - 1 <= m < k
func ValidateMinimizerSize(m, k, nworkers int) int {
minM := MinMinimizerSize(nworkers)
if m < minM {
log.Warnf("Minimizer size %d too small for %d workers (4^%d = %d < %d), adjusting to %d",
m, nworkers, m, 1<<(2*m), nworkers, minM)
m = minM
}
if m < 1 {
m = 1
}
if m >= k {
m = k - 1
}
return m
}