Implement core clustering logic and scoring features

This update introduces the core clustering algorithm, including parallel execution, dynamic block sizing, and SIMD-accelerated scoring methods. It also adds robust sequence preparation, k-mer analysis, and comprehensive test data fixtures for validation.

cmd/obitools/obiclust/main.go

@@ -0,0 +1,28 @@
+package main
+
+import (
+	"os"
+
+	"git.metabarcoding.org/obitools/obitools4/obitools4/pkg/obioptions"
+	"git.metabarcoding.org/obitools/obitools4/obitools4/pkg/obitools/obiclust"
+	"git.metabarcoding.org/obitools/obitools4/obitools4/pkg/obitools/obiconvert"
+	"git.metabarcoding.org/obitools/obitools4/obitools4/pkg/obiutils"
+)
+
+func main() {
+	optionParser := obioptions.GenerateOptionParser(
+		"obiclust",
+		"star clustering of sequences (the algorithm of sumaclust, UCLUST and CD-HIT)",
+		obiclust.OptionSet)
+
+	_, args := optionParser(os.Args)
+
+	fs, err := obiconvert.CLIReadBioSequences(args...)
+	obiconvert.OpenSequenceDataErrorMessage(args, err)
+
+	clustered := obiclust.CLIOBIClust(fs)
+
+	obiconvert.CLIWriteBioSequences(clustered, true)
+
+	obiutils.WaitForLastPipe()
+}