search_utils

func RunWorkers ¶

func RunWorkers(
	count int,
	workerCount int,
	timeout time.Duration,
	worker func(int, int) []*common.SearchResultLow,
) []*common.SearchResultLow

func ScoreFuzzy ¶

func ScoreFuzzy(
	terms []string,
	args *ScoreFuzzyArgs,
	buff []uint16,
) uint8

ScoreFuzzy returns fuzzy score between query and term list Make sure you don't use the same buff in multiple goroutines Returns a number in 0..200 range, but 80 is a good minimum score to use which is equivalent of %70 similarity in single-word query and term Because we spread out %50 .. %100 similarity to scores of 100..200 for example "abstracted" is %70 similar to "abstrac" query, but gets score of 80

func ScoreSimpleFuzzy ¶

func ScoreSimpleFuzzy(
	terms []string,
	args *ScoreSimpleFuzzyArgs,
	buff []uint16,
) uint8

ScoreSimpleFuzzy returns fuzzy score between query and term list Make sure you don't use the same buff in multiple goroutines This is the same as ScoreFuzzy for single-word terms It does not look into words of a term. But it does check if term starts with the query.

func ScoreStartsWith ¶

func ScoreStartsWith(terms []string, query string) uint8

func ScoreWordMatch ¶

func ScoreWordMatch(terms []string, query string) uint8

ScoreWordMatch returns a score based on exact word match between query words and term words

func Similarity ¶

func Similarity(
	r1 []rune,
	r2 []rune,
	buff []uint16,
	subtract uint8,
) uint8

Similarity calculates a similarity score between 0 and 200 Except any score between 1 and 131 (<%66) will become zero as optimization SimilaritySlow func does not have this limitation Make sure you don't use the same buff in multiple goroutines

func SimilaritySlow ¶

func SimilaritySlow(
	r1 []rune,
	r2 []rune,
	buff []uint16,
	subtract uint8,
) uint8

SimilaritySlow calculates a similarity score between 0 and 200 Make sure you don't use the same buff in multiple goroutines