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Versions in this module

v0

v0.2.7

Sep 7, 2026

Changes in this version

type PairClassifier

+ func (c *PairClassifier) CapNonTextualSimilarity(similarity float64) float64

v0.2.6

Sep 5, 2026

v0.2.5

Aug 27, 2026

v0.2.4

Aug 15, 2026

v0.2.3

Aug 15, 2026

v0.2.2

Aug 12, 2026

v0.2.1

Jul 18, 2026

Changes in this version

type ASTFeatureExtractor

+ func (a *ASTFeatureExtractor) WithLiteralNames(names []string) *ASTFeatureExtractor

type SyntacticSimilarityAnalyzer

+ func NewSyntacticSimilarityAnalyzerWithExtractor(extractor *ASTFeatureExtractor) *SyntacticSimilarityAnalyzer

v0.2.0

Jul 12, 2026

Changes in this version

+ func CalculateConfidence(f1, f2 *CodeFragment, similarity float64) float64

+ func ItemKey[T GroupableItem](item T) string

+ func JaccardSimilarity(set1, set2 []string) float64

+ func LocationsOverlap(a, b ItemLocation) bool

+ func PairKey[T GroupableItem](a, b T) string

+ func ShouldCompareFragments(f1, f2 *CodeFragment) bool

+ type ASTFeatureExtractor struct

+ PatternNames []string

+ func NewASTFeatureExtractor() *ASTFeatureExtractor

+ func (a *ASTFeatureExtractor) ExtractFeatures(ast *apted.TreeNode) ([]string, error)

+ func (a *ASTFeatureExtractor) ExtractNodeSequences(ast *apted.TreeNode, k int) ([]string, error)

+ func (a *ASTFeatureExtractor) ExtractSubtreeHashes(ast *apted.TreeNode, maxHeight int) ([]string, error)

+ func (a *ASTFeatureExtractor) WithOptions(maxHeight, k int, includeTypes, includeLiterals bool) *ASTFeatureExtractor

+ func (a *ASTFeatureExtractor) WithPatterns(patterns []string) *ASTFeatureExtractor

+ type CentroidGrouping struct

+ func NewCentroidGrouping[T GroupableItem](threshold float64) *CentroidGrouping[T]

+ func (cg *CentroidGrouping[T]) GroupItems(pairs []*ItemPair[T]) []*ItemGroup[T]

+ func (cg *CentroidGrouping[T]) Name() string

+ type ClassifierConfig struct

+ EnableType1 bool

+ EnableType2 bool

+ EnableType3 bool

+ EnableType4 bool

+ JaccardPreFilterThreshold float64

+ Type1Threshold float64

+ Type2Threshold float64

+ Type3Threshold float64

+ Type4Threshold float64

+ func DefaultClassifierConfig() ClassifierConfig

+ type CloneGroup struct

+ AvgSimilarity float64

+ CloneType domain.CloneType

+ Fragments []*CodeFragment

+ ID int

+ type ClonePair struct

+ AnalyzerName string

+ CloneType domain.CloneType

+ Confidence float64

+ Fragment1 *CodeFragment

+ Fragment2 *CodeFragment

+ Similarity float64

+ type CloneStatistics struct

+ AvgSimilarity float64

+ TotalFragments int

+ TotalPairs int

+ TypeCounts map[domain.CloneType]int

+ type CodeFragment struct

+ ASTNode *apted.TreeNode

+ Complexity int

+ Content string

+ EndCol int

+ EndLine int

+ Features []string

+ FilePath string

+ Hash string

+ ID int

+ LineCount int

+ NodeCount int

+ StartCol int

+ StartLine int

+ func (f *CodeFragment) ItemID() int

+ func (f *CodeFragment) ItemKey() string

+ func (f *CodeFragment) ItemLocation() ItemLocation

+ type CommentStripper func(content string) string

+ type CompleteLinkageGrouping struct

+ func NewCompleteLinkageGrouping[T GroupableItem](threshold float64) *CompleteLinkageGrouping[T]

+ func (c *CompleteLinkageGrouping[T]) GroupItems(pairs []*ItemPair[T]) []*ItemGroup[T]

+ func (c *CompleteLinkageGrouping[T]) Name() string

+ type ConnectedGrouping struct

+ func NewConnectedGrouping[T GroupableItem](threshold float64) *ConnectedGrouping[T]

+ func (c *ConnectedGrouping[T]) GroupItems(pairs []*ItemPair[T]) []*ItemGroup[T]

+ func (c *ConnectedGrouping[T]) Name() string

+ type FeatureExtractor interface

+ ExtractFeatures func(ast *apted.TreeNode) ([]string, error)

+ ExtractNodeSequences func(ast *apted.TreeNode, k int) ([]string, error)

+ ExtractSubtreeHashes func(ast *apted.TreeNode, maxHeight int) ([]string, error)

+ type GroupDedupeResult struct

+ Groups []*ItemGroup[T]

+ Suppressed map[string]struct{}

+ SuppressedPairs map[string]struct{}

+ func DedupeCoveredGroups[T GroupableItem](groups []*ItemGroup[T]) GroupDedupeResult[T]

+ func DedupeStrictSubsetGroupMembers[T GroupableItem](groups []*ItemGroup[T], pairs []*ItemPair[T]) GroupDedupeResult[T]

+ type GroupableItem interface

+ ItemID func() int

+ ItemLocation func() ItemLocation

+ type GroupingConfig struct

+ KCoreK int

+ Mode GroupingMode

+ Threshold float64

+ type GroupingMode string

+ const ModeCentroid

+ const ModeCompleteLinkage

+ const ModeConnected

+ const ModeKCore

+ const ModeStarMedoid

+ type GroupingStrategy interface

+ GroupItems func(pairs []*ItemPair[T]) []*ItemGroup[T]

+ Name func() string

+ func NewGroupingStrategy[T GroupableItem](config GroupingConfig) GroupingStrategy[T]

+ type ItemGroup struct

+ GroupType domain.CloneType

+ ID int

+ Items []T

+ Similarity float64

+ func FilterGroupsWithoutBackingPairs[T GroupableItem](groups []*ItemGroup[T], pairs []*ItemPair[T]) []*ItemGroup[T]

+ type ItemLocation struct

+ EndCol int

+ EndLine int

+ FilePath string

+ StartCol int

+ StartLine int

+ type ItemPair struct

+ Item1 T

+ Item2 T

+ PairType domain.CloneType

+ Similarity float64

+ func FilterPairsWithSuppressedMembers[T GroupableItem](pairs []*ItemPair[T], suppressed map[string]struct{}) []*ItemPair[T]

+ func FilterSuppressedPairs[T GroupableItem](pairs []*ItemPair[T], suppressed map[string]struct{}) []*ItemPair[T]

+ type KCoreGrouping struct

+ func NewKCoreGrouping[T GroupableItem](threshold float64, k int) *KCoreGrouping[T]

+ func (kg *KCoreGrouping[T]) GroupItems(pairs []*ItemPair[T]) []*ItemGroup[T]

+ func (kg *KCoreGrouping[T]) Name() string

+ type PairClassifier struct

+ func NewPairClassifier(config ClassifierConfig, textual *TextualSimilarityAnalyzer, ...) *PairClassifier

+ func (c *PairClassifier) ClassifyPair(f1, f2 *CodeFragment, structuralSimilarity float64) (domain.CloneType, float64)

+ func (c *PairClassifier) PassesJaccardPreFilter(f1, f2 *CodeFragment) bool

+ type SimilarityAnalyzer interface

+ ComputeSimilarity func(f1, f2 *CodeFragment) float64

+ Name func() string

+ type StarMedoidGrouping struct

+ func NewStarMedoidGrouping[T GroupableItem](threshold float64) *StarMedoidGrouping[T]

+ func (s *StarMedoidGrouping[T]) GroupItems(pairs []*ItemPair[T]) []*ItemGroup[T]

+ func (s *StarMedoidGrouping[T]) Name() string

+ type StructuralAnalyzer struct

+ func NewStructuralAnalyzer(costModel apted.CostModel, normMode apted.NormalizationMode) *StructuralAnalyzer

+ func (s *StructuralAnalyzer) ComputeDistanceAndSimilarity(f1, f2 *CodeFragment) (float64, float64)

+ func (s *StructuralAnalyzer) ComputeSimilarity(f1, f2 *CodeFragment) float64

+ func (s *StructuralAnalyzer) Name() string

+ type SyntacticSimilarityAnalyzer struct

+ func NewSyntacticSimilarityAnalyzer() *SyntacticSimilarityAnalyzer

+ func (s *SyntacticSimilarityAnalyzer) ComputeDistance(f1, f2 *CodeFragment) float64

+ func (s *SyntacticSimilarityAnalyzer) ComputeSimilarity(f1, f2 *CodeFragment) float64

+ func (s *SyntacticSimilarityAnalyzer) Name() string

+ type TextualSimilarityAnalyzer struct

+ func NewTextualSimilarityAnalyzer(stripComments CommentStripper) *TextualSimilarityAnalyzer

+ func NewTextualSimilarityAnalyzerWithConfig(config TextualSimilarityConfig) *TextualSimilarityAnalyzer

+ func (t *TextualSimilarityAnalyzer) ComputeSimilarity(f1, f2 *CodeFragment) float64

+ func (t *TextualSimilarityAnalyzer) HashFragmentContent(content string) string

+ func (t *TextualSimilarityAnalyzer) IsExactMatch(f1, f2 *CodeFragment) bool

+ func (t *TextualSimilarityAnalyzer) Name() string

+ func (t *TextualSimilarityAnalyzer) NormalizeContent(content string) string

+ type TextualSimilarityConfig struct

+ NormalizeWhitespace bool

+ StripComments CommentStripper

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