Refactor SuperKmer extraction to use iterator pattern

This commit refactors the SuperKmer extraction functionality to use Go's new iterator pattern. The ExtractSuperKmers function is now implemented as a wrapper around a new IterSuperKmers iterator function, which yields results one at a time instead of building a complete slice. This change provides better memory efficiency and more flexible consumption of super k-mers. The functionality remains the same, but the interface is now more idiomatic and efficient for large datasets.
This commit is contained in:
Eric Coissac
2026-02-07 12:22:59 +01:00
parent f1e2846d2d
commit 4ae331db36
4 changed files with 356 additions and 135 deletions

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@@ -447,141 +447,6 @@ func IterCanonicalKmers(seq []byte, k int) iter.Seq[uint64] {
}
}
}
// SuperKmer represents a maximal subsequence where all consecutive k-mers
// share the same minimizer. A minimizer is the smallest canonical m-mer
// among the (k-m+1) m-mers contained in a k-mer.
type SuperKmer struct {
Minimizer uint64 // The canonical minimizer value (normalized m-mer)
Start int // Starting position in the original sequence (0-indexed)
End int // Ending position (exclusive, like Go slice notation)
Sequence []byte // The actual DNA subsequence [Start:End]
}
// dequeItem represents an element in the monotone deque used for
// tracking minimizers in a sliding window.
type dequeItem struct {
position int // Position of the m-mer in the sequence
canonical uint64 // Canonical (normalized) m-mer value
}
// ExtractSuperKmers extracts super k-mers from a DNA sequence.
// A super k-mer is a maximal subsequence where all consecutive k-mers
// share the same minimizer. The minimizer of a k-mer is the smallest
// canonical m-mer among its (k-m+1) constituent m-mers.
//
// The algorithm uses:
// - Simultaneous forward/reverse m-mer encoding for O(1) canonical m-mer computation
// - Monotone deque for O(1) amortized minimizer tracking per position
//
// The maximum k-mer size is 31 (using 62 bits), leaving the top 2 bits
// available for error markers if needed.
//
// Parameters:
// - seq: DNA sequence as a byte slice (case insensitive, supports A, C, G, T, U)
// - k: k-mer size (must be between m+1 and 31)
// - m: minimizer size (must be between 1 and k-1)
// - buffer: optional pre-allocated buffer for results. If nil, a new slice is created.
//
// Returns:
// - slice of SuperKmer structs representing maximal subsequences
// - nil if parameters are invalid or sequence is too short
//
// Time complexity: O(n) where n is the sequence length
// Space complexity: O(k-m+1) for the deque + O(number of super k-mers) for results
func ExtractSuperKmers(seq []byte, k int, m int, buffer *[]SuperKmer) []SuperKmer {
if m < 1 || m >= k || k < 2 || k > 31 || len(seq) < k {
return nil
}
var result []SuperKmer
if buffer == nil {
estimatedSize := len(seq) / k
if estimatedSize < 1 {
estimatedSize = 1
}
result = make([]SuperKmer, 0, estimatedSize)
} else {
result = (*buffer)[:0]
}
deque := make([]dequeItem, 0, k-m+1)
mMask := uint64(1)<<(m*2) - 1
rcShift := uint((m - 1) * 2)
var fwdMmer, rvcMmer uint64
for i := 0; i < m-1 && i < len(seq); i++ {
code := uint64(__single_base_code__[seq[i]&31])
fwdMmer = (fwdMmer << 2) | code
rvcMmer = (rvcMmer >> 2) | ((code ^ 3) << rcShift)
}
superKmerStart := 0
var currentMinimizer uint64
firstKmer := true
for pos := m - 1; pos < len(seq); pos++ {
code := uint64(__single_base_code__[seq[pos]&31])
fwdMmer = ((fwdMmer << 2) | code) & mMask
rvcMmer = (rvcMmer >> 2) | ((code ^ 3) << rcShift)
canonical := fwdMmer
if rvcMmer < fwdMmer {
canonical = rvcMmer
}
mmerPos := pos - m + 1
if pos >= k-1 {
windowStart := pos - k + 1
for len(deque) > 0 && deque[0].position < windowStart {
deque = deque[1:]
}
}
for len(deque) > 0 && deque[len(deque)-1].canonical >= canonical {
deque = deque[:len(deque)-1]
}
deque = append(deque, dequeItem{position: mmerPos, canonical: canonical})
if pos >= k-1 {
newMinimizer := deque[0].canonical
kmerStart := pos - k + 1
if firstKmer {
currentMinimizer = newMinimizer
firstKmer = false
} else if newMinimizer != currentMinimizer {
endPos := kmerStart + k - 1
superKmer := SuperKmer{
Minimizer: currentMinimizer,
Start: superKmerStart,
End: endPos,
Sequence: seq[superKmerStart:endPos],
}
result = append(result, superKmer)
superKmerStart = kmerStart
currentMinimizer = newMinimizer
}
}
}
if !firstKmer {
superKmer := SuperKmer{
Minimizer: currentMinimizer,
Start: superKmerStart,
End: len(seq),
Sequence: seq[superKmerStart:],
}
result = append(result, superKmer)
}
return result
}
// ReverseComplement computes the reverse complement of an encoded k-mer.
// The k-mer is encoded with 2 bits per nucleotide (A=00, C=01, G=10, T=11).
// The complement is: A↔T (00↔11), C↔G (01↔10), which is simply XOR with 11.

59
pkg/obikmer/superkmer.go Normal file
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@@ -0,0 +1,59 @@
package obikmer
// SuperKmer represents a maximal subsequence where all consecutive k-mers
// share the same minimizer.
type SuperKmer struct {
Minimizer uint64 // The canonical minimizer value (normalized m-mer)
Start int // Starting position in the original sequence (0-indexed)
End int // Ending position (exclusive, like Go slice notation)
Sequence []byte // The actual DNA subsequence [Start:End]
}
// dequeItem represents an element in the monotone deque used for
// tracking minimizers in a sliding window.
type dequeItem struct {
position int // Position of the m-mer in the sequence
canonical uint64 // Canonical (normalized) m-mer value
}
// ExtractSuperKmers extracts super k-mers from a DNA sequence.
// A super k-mer is a maximal subsequence where all consecutive k-mers
// share the same minimizer. The minimizer of a k-mer is the smallest
// canonical m-mer among its (k-m+1) constituent m-mers.
//
// This function uses IterSuperKmers internally and collects results into a slice.
//
// Parameters:
// - seq: DNA sequence as a byte slice (case insensitive, supports A, C, G, T, U)
// - k: k-mer size (must be between m+1 and 31)
// - m: minimizer size (must be between 1 and k-1)
// - buffer: optional pre-allocated buffer for results. If nil, a new slice is created.
//
// Returns:
// - slice of SuperKmer structs representing maximal subsequences
// - nil if parameters are invalid or sequence is too short
//
// Time complexity: O(n) where n is the sequence length
// Space complexity: O(k-m+1) for the deque + O(number of super k-mers) for results
func ExtractSuperKmers(seq []byte, k int, m int, buffer *[]SuperKmer) []SuperKmer {
if m < 1 || m >= k || k < 2 || k > 31 || len(seq) < k {
return nil
}
var result []SuperKmer
if buffer == nil {
estimatedSize := len(seq) / k
if estimatedSize < 1 {
estimatedSize = 1
}
result = make([]SuperKmer, 0, estimatedSize)
} else {
result = (*buffer)[:0]
}
for sk := range IterSuperKmers(seq, k, m) {
result = append(result, sk)
}
return result
}

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@@ -0,0 +1,215 @@
package obikmer
import (
"fmt"
"iter"
"git.metabarcoding.org/obitools/obitools4/obitools4/pkg/obiseq"
)
// IterSuperKmers returns an iterator over super k-mers extracted from a DNA sequence.
// It uses the same algorithm as ExtractSuperKmers but yields super k-mers one at a time.
//
// Parameters:
// - seq: DNA sequence as a byte slice (case insensitive, supports A, C, G, T, U)
// - k: k-mer size (must be between m+1 and 31)
// - m: minimizer size (must be between 1 and k-1)
//
// Returns:
// - An iterator that yields SuperKmer structs
//
// Example:
//
// for sk := range IterSuperKmers(sequence, 21, 11) {
// fmt.Printf("SuperKmer at %d-%d with minimizer %d\n", sk.Start, sk.End, sk.Minimizer)
// }
func IterSuperKmers(seq []byte, k int, m int) iter.Seq[SuperKmer] {
return func(yield func(SuperKmer) bool) {
if m < 1 || m >= k || k < 2 || k > 31 || len(seq) < k {
return
}
deque := make([]dequeItem, 0, k-m+1)
mMask := uint64(1)<<(m*2) - 1
rcShift := uint((m - 1) * 2)
var fwdMmer, rvcMmer uint64
for i := 0; i < m-1 && i < len(seq); i++ {
code := uint64(__single_base_code__[seq[i]&31])
fwdMmer = (fwdMmer << 2) | code
rvcMmer = (rvcMmer >> 2) | ((code ^ 3) << rcShift)
}
superKmerStart := 0
var currentMinimizer uint64
firstKmer := true
for pos := m - 1; pos < len(seq); pos++ {
code := uint64(__single_base_code__[seq[pos]&31])
fwdMmer = ((fwdMmer << 2) | code) & mMask
rvcMmer = (rvcMmer >> 2) | ((code ^ 3) << rcShift)
canonical := fwdMmer
if rvcMmer < fwdMmer {
canonical = rvcMmer
}
mmerPos := pos - m + 1
if pos >= k-1 {
windowStart := pos - k + 1
for len(deque) > 0 && deque[0].position < windowStart {
deque = deque[1:]
}
}
for len(deque) > 0 && deque[len(deque)-1].canonical >= canonical {
deque = deque[:len(deque)-1]
}
deque = append(deque, dequeItem{position: mmerPos, canonical: canonical})
if pos >= k-1 {
newMinimizer := deque[0].canonical
kmerStart := pos - k + 1
if firstKmer {
currentMinimizer = newMinimizer
firstKmer = false
} else if newMinimizer != currentMinimizer {
endPos := kmerStart + k - 1
superKmer := SuperKmer{
Minimizer: currentMinimizer,
Start: superKmerStart,
End: endPos,
Sequence: seq[superKmerStart:endPos],
}
if !yield(superKmer) {
return
}
superKmerStart = kmerStart
currentMinimizer = newMinimizer
}
}
}
if !firstKmer {
superKmer := SuperKmer{
Minimizer: currentMinimizer,
Start: superKmerStart,
End: len(seq),
Sequence: seq[superKmerStart:],
}
yield(superKmer)
}
}
}
// ToBioSequence converts a SuperKmer to a BioSequence with metadata.
//
// The resulting BioSequence contains:
// - ID: "{parentID}_superkmer_{start}_{end}"
// - Sequence: the actual DNA subsequence
// - Attributes:
// - "minimizer_value" (uint64): the canonical minimizer value
// - "minimizer_seq" (string): the DNA sequence of the minimizer
// - "k" (int): the k-mer size
// - "m" (int): the minimizer size
// - "start" (int): starting position in original sequence
// - "end" (int): ending position in original sequence
// - "parent_id" (string): ID of the parent sequence
//
// Parameters:
// - k: k-mer size used for extraction
// - m: minimizer size used for extraction
// - parentID: ID of the parent sequence
// - parentSource: source field from the parent sequence
//
// Returns:
// - *obiseq.BioSequence: A new BioSequence representing this super k-mer
func (sk *SuperKmer) ToBioSequence(k int, m int, parentID string, parentSource string) *obiseq.BioSequence {
// Create ID for the super-kmer
var id string
if parentID != "" {
id = fmt.Sprintf("%s_superkmer_%d_%d", parentID, sk.Start, sk.End)
} else {
id = fmt.Sprintf("superkmer_%d_%d", sk.Start, sk.End)
}
// Create the BioSequence
seq := obiseq.NewBioSequence(id, sk.Sequence, "")
// Copy source from parent
if parentSource != "" {
seq.SetSource(parentSource)
}
// Set attributes
seq.SetAttribute("minimizer_value", sk.Minimizer)
// Decode the minimizer to get its DNA sequence
minimizerSeq := DecodeKmer(sk.Minimizer, m, nil)
seq.SetAttribute("minimizer_seq", string(minimizerSeq))
seq.SetAttribute("k", k)
seq.SetAttribute("m", m)
seq.SetAttribute("start", sk.Start)
seq.SetAttribute("end", sk.End)
if parentID != "" {
seq.SetAttribute("parent_id", parentID)
}
return seq
}
// SuperKmerWorker creates a SeqWorker that extracts super k-mers from a BioSequence
// and returns them as a slice of BioSequence objects.
//
// The worker copies the source field from the parent sequence to all extracted super k-mers.
//
// Parameters:
// - k: k-mer size (must be between m+1 and 31)
// - m: minimizer size (must be between 1 and k-1)
//
// Returns:
// - SeqWorker: A worker function that can be used in obiiter pipelines
//
// Example:
//
// worker := SuperKmerWorker(21, 11)
// iterator := iterator.MakeIWorker(worker, false)
func SuperKmerWorker(k int, m int) obiseq.SeqWorker {
return func(seq *obiseq.BioSequence) (obiseq.BioSequenceSlice, error) {
if seq == nil {
return obiseq.BioSequenceSlice{}, nil
}
// Validate parameters
if m < 1 || m >= k || k < 2 || k > 31 {
return obiseq.BioSequenceSlice{}, fmt.Errorf(
"invalid parameters: k=%d, m=%d (need 1 <= m < k <= 31)",
k, m)
}
sequence := seq.Sequence()
if len(sequence) < k {
return obiseq.BioSequenceSlice{}, nil
}
parentID := seq.Id()
parentSource := seq.Source()
// Extract super k-mers and convert to BioSequences
result := make(obiseq.BioSequenceSlice, 0)
for sk := range IterSuperKmers(sequence, k, m) {
bioSeq := sk.ToBioSequence(k, m, parentID, parentSource)
result = append(result, bioSeq)
}
return result, nil
}
}

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@@ -0,0 +1,82 @@
package obikmer
import (
"testing"
)
func TestIterSuperKmers(t *testing.T) {
seq := []byte("ACGTACGTGGGGAAAA")
k := 5
m := 3
count := 0
for sk := range IterSuperKmers(seq, k, m) {
count++
t.Logf("SuperKmer %d: Minimizer=%d, Start=%d, End=%d, Seq=%s",
count, sk.Minimizer, sk.Start, sk.End, string(sk.Sequence))
// Verify sequence boundaries
if sk.Start < 0 || sk.End > len(seq) {
t.Errorf("Invalid boundaries: Start=%d, End=%d, seqLen=%d",
sk.Start, sk.End, len(seq))
}
// Verify sequence content
if string(sk.Sequence) != string(seq[sk.Start:sk.End]) {
t.Errorf("Sequence mismatch: expected %s, got %s",
string(seq[sk.Start:sk.End]), string(sk.Sequence))
}
}
if count == 0 {
t.Error("No super k-mers extracted")
}
t.Logf("Total super k-mers extracted: %d", count)
}
func TestIterSuperKmersVsSlice(t *testing.T) {
seq := []byte("ACGTACGTGGGGAAAAACGTACGT")
k := 7
m := 4
// Extract using slice version
sliceResult := ExtractSuperKmers(seq, k, m, nil)
// Extract using iterator version
var iterResult []SuperKmer
for sk := range IterSuperKmers(seq, k, m) {
iterResult = append(iterResult, sk)
}
// Compare counts
if len(sliceResult) != len(iterResult) {
t.Errorf("Different number of super k-mers: slice=%d, iter=%d",
len(sliceResult), len(iterResult))
}
// Compare each super k-mer
for i := 0; i < len(sliceResult) && i < len(iterResult); i++ {
slice := sliceResult[i]
iter := iterResult[i]
if slice.Minimizer != iter.Minimizer {
t.Errorf("SuperKmer %d: different minimizers: slice=%d, iter=%d",
i, slice.Minimizer, iter.Minimizer)
}
if slice.Start != iter.Start || slice.End != iter.End {
t.Errorf("SuperKmer %d: different boundaries: slice=[%d:%d], iter=[%d:%d]",
i, slice.Start, slice.End, iter.Start, iter.End)
}
if string(slice.Sequence) != string(iter.Sequence) {
t.Errorf("SuperKmer %d: different sequences: slice=%s, iter=%s",
i, string(slice.Sequence), string(iter.Sequence))
}
}
}
// Note: Tests for ToBioSequence and SuperKmerWorker are in a separate
// integration test package to avoid circular dependencies between
// obikmer and obiseq packages.