RecommendationRankingEngine

ElementMissed InstructionsCov.Missed BranchesCov.MissedCxtyMissedLinesMissedMethods
Total77 of 1,50794%43 of 19678%411296245131
rank(Integer, List, List, List, boolean, int, LocalDateTime)93%75%61725501
buildUserVector(List, Map, LocalDateTime)86%75%3721701
reason(String, RecommendationBookProfile, Set, Map, Integer, double)91%70%61321801
diversify(List, int)96%88%21002701
qualityScores(List, LocalDateTime)97%83%2702201
cosine(Map, Map)95%66%4701201
sourceType(boolean, boolean, double, double, RecommendationBookProfile, LocalDateTime)90%75%370701
explorationScore(Integer, Integer, LocalDate)90%50%230501
lambda$rank$6(RecommendationRankingEngine.ScoredCandidate)0%n/a111111
decimal(Double)81%50%230101
normalize(String)77%50%120101
value(Integer)71%50%120101
safe(String)66%50%120101
lambda$rank$2(RecommendationUserSignal)96%75%250301
lambda$rank$5(Double)88%50%120101
collaborativeScores(Set, List, Set)100%88%21003001
textTokens(String)100%100%0401901
featureVector(RecommendationBookProfile)100%100%020801
intersectionSize(Set, Set)100%100%050401
flushHan(Set, StringBuilder)100%100%030601
same(String, String)100%75%130101
addFeature(Map, String, String, double)100%50%120301
flushLatin(Set, StringBuilder)100%100%020301
lambda$buildUserVector$7(Map, double, String, Double)100%n/a010101
lambda$rank$3(Set, RecommendationBookProfile)100%100%020101
lambda$rank$1(RecommendationUserSignal)100%100%020101
lambda$collaborativeScores$9(double, Integer, Double)100%n/a010101
lambda$collaborativeScores$8(Integer)100%n/a010101
RecommendationRankingEngine()100%n/a010101
lambda$rank$4(RecommendationUserSignal)100%n/a010101
lambda$rank$0(RecommendationBookProfile)100%n/a010101