Feature: Introduce k-mer distance and SIMD LCS logic

Introduces k-mer distance structures and SIMD implementation for LCS simulation.

Adds support for concurrent, read-only k-mer partners, implements data preparation for SIMD alignment, and adds comprehensive testing and benchmarking capabilities.

pkg/obikmer/kmer_lcs_scalar.go

@@ -5,3 +5,17 @@ package obikmer
 func kmerLCSBatch(query uint64, partners []uint64, k int, out []KmerLCSResult) {
 	kmerLCSBatchScalar(query, partners, k, out)
 }
+
+// kmerLCSPrepared has nothing to precompute without SIMD.
+type kmerLCSPrepared struct {
+	k        int
+	partners []uint64
+}
+
+func prepareKmerLCS(partners []uint64, k int) kmerLCSPrepared {
+	return kmerLCSPrepared{k: k, partners: partners}
+}
+
+func (p *kmerLCSPrepared) align(query uint64, out []KmerLCSResult) {
+	kmerLCSBatchScalar(query, p.partners, p.k, out)
+}