306 lines
6.4 KiB
Go
306 lines
6.4 KiB
Go
package fzf
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import (
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"regexp"
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"sort"
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"strings"
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)
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const UPPERCASE = "ABCDEFGHIJKLMNOPQRSTUVWXYZ"
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// fuzzy
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// 'exact
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// ^exact-prefix
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// exact-suffix$
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// !not-fuzzy
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// !'not-exact
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// !^not-exact-prefix
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// !not-exact-suffix$
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type TermType int
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const (
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TERM_FUZZY TermType = iota
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TERM_EXACT
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TERM_PREFIX
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TERM_SUFFIX
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)
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type Term struct {
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typ TermType
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inv bool
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text []rune
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origText []rune
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}
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type Pattern struct {
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mode Mode
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caseSensitive bool
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text []rune
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terms []Term
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hasInvTerm bool
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delimiter *regexp.Regexp
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nth []Range
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procFun map[TermType]func(bool, *string, []rune) (int, int)
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}
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var (
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_patternCache map[string]*Pattern
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_splitRegex *regexp.Regexp
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_cache ChunkCache
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)
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func init() {
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// We can uniquely identify the pattern for a given string since
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// mode and caseMode do not change while the program is running
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_patternCache = make(map[string]*Pattern)
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_splitRegex = regexp.MustCompile("\\s+")
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_cache = NewChunkCache()
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}
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func clearPatternCache() {
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_patternCache = make(map[string]*Pattern)
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}
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func BuildPattern(mode Mode, caseMode Case,
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nth []Range, delimiter *regexp.Regexp, runes []rune) *Pattern {
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var asString string
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switch mode {
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case MODE_EXTENDED, MODE_EXTENDED_EXACT:
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asString = strings.Trim(string(runes), " ")
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default:
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asString = string(runes)
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}
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cached, found := _patternCache[asString]
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if found {
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return cached
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}
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caseSensitive, hasInvTerm := true, false
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terms := []Term{}
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switch caseMode {
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case CASE_SMART:
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if !strings.ContainsAny(asString, UPPERCASE) {
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runes, caseSensitive = []rune(strings.ToLower(asString)), false
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}
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case CASE_IGNORE:
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runes, caseSensitive = []rune(strings.ToLower(asString)), false
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}
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switch mode {
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case MODE_EXTENDED, MODE_EXTENDED_EXACT:
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terms = parseTerms(mode, string(runes))
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for _, term := range terms {
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if term.inv {
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hasInvTerm = true
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}
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}
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}
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ptr := &Pattern{
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mode: mode,
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caseSensitive: caseSensitive,
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text: runes,
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terms: terms,
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hasInvTerm: hasInvTerm,
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nth: nth,
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delimiter: delimiter,
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procFun: make(map[TermType]func(bool, *string, []rune) (int, int))}
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ptr.procFun[TERM_FUZZY] = FuzzyMatch
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ptr.procFun[TERM_EXACT] = ExactMatchNaive
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ptr.procFun[TERM_PREFIX] = PrefixMatch
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ptr.procFun[TERM_SUFFIX] = SuffixMatch
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_patternCache[asString] = ptr
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return ptr
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}
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func parseTerms(mode Mode, str string) []Term {
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tokens := _splitRegex.Split(str, -1)
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terms := []Term{}
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for _, token := range tokens {
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typ, inv, text := TERM_FUZZY, false, token
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origText := []rune(text)
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if mode == MODE_EXTENDED_EXACT {
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typ = TERM_EXACT
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}
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if strings.HasPrefix(text, "!") {
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inv = true
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text = text[1:]
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}
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if strings.HasPrefix(text, "'") {
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if mode == MODE_EXTENDED {
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typ = TERM_EXACT
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text = text[1:]
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}
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} else if strings.HasPrefix(text, "^") {
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typ = TERM_PREFIX
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text = text[1:]
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} else if strings.HasSuffix(text, "$") {
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typ = TERM_SUFFIX
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text = text[:len(text)-1]
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}
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if len(text) > 0 {
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terms = append(terms, Term{
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typ: typ,
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inv: inv,
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text: []rune(text),
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origText: origText})
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}
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}
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return terms
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}
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func (p *Pattern) IsEmpty() bool {
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if p.mode == MODE_FUZZY {
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return len(p.text) == 0
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} else {
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return len(p.terms) == 0
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}
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}
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func (p *Pattern) AsString() string {
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return string(p.text)
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}
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func (p *Pattern) CacheKey() string {
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if p.mode == MODE_FUZZY {
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return p.AsString()
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}
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cacheableTerms := []string{}
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for _, term := range p.terms {
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if term.inv {
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continue
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}
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cacheableTerms = append(cacheableTerms, string(term.origText))
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}
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sort.Strings(cacheableTerms)
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return strings.Join(cacheableTerms, " ")
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}
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func (p *Pattern) Match(chunk *Chunk) []*Item {
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space := chunk
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// ChunkCache: Exact match
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cacheKey := p.CacheKey()
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if !p.hasInvTerm { // Because we're excluding Inv-term from cache key
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if cached, found := _cache.Find(chunk, cacheKey); found {
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return cached
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}
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}
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// ChunkCache: Prefix match
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foundPrefixCache := false
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for idx := len(cacheKey) - 1; idx > 0; idx-- {
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if cached, found := _cache.Find(chunk, cacheKey[:idx]); found {
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cachedChunk := Chunk(cached)
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space = &cachedChunk
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foundPrefixCache = true
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break
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}
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}
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// ChunkCache: Suffix match
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if !foundPrefixCache {
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for idx := 1; idx < len(cacheKey); idx++ {
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if cached, found := _cache.Find(chunk, cacheKey[idx:]); found {
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cachedChunk := Chunk(cached)
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space = &cachedChunk
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break
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}
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}
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}
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var matches []*Item
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if p.mode == MODE_FUZZY {
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matches = p.fuzzyMatch(space)
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} else {
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matches = p.extendedMatch(space)
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}
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if !p.hasInvTerm {
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_cache.Add(chunk, cacheKey, matches)
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}
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return matches
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}
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func (p *Pattern) fuzzyMatch(chunk *Chunk) []*Item {
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matches := []*Item{}
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for _, item := range *chunk {
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input := p.prepareInput(item)
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if sidx, eidx := p.iter(FuzzyMatch, input, p.text); sidx >= 0 {
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matches = append(matches, &Item{
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text: item.text,
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index: item.index,
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offsets: []Offset{Offset{sidx, eidx}},
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rank: NilRank})
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}
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}
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return matches
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}
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func (p *Pattern) extendedMatch(chunk *Chunk) []*Item {
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matches := []*Item{}
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for _, item := range *chunk {
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input := p.prepareInput(item)
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offsets := []Offset{}
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Loop:
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for _, term := range p.terms {
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pfun := p.procFun[term.typ]
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if sidx, eidx := p.iter(pfun, input, term.text); sidx >= 0 {
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if term.inv {
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break Loop
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}
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offsets = append(offsets, Offset{sidx, eidx})
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} else if term.inv {
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offsets = append(offsets, Offset{0, 0})
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}
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}
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if len(offsets) == len(p.terms) {
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matches = append(matches, &Item{
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text: item.text,
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index: item.index,
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offsets: offsets,
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rank: NilRank})
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}
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}
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return matches
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}
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func (p *Pattern) prepareInput(item *Item) *Transformed {
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if item.transformed != nil {
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return item.transformed
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}
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var ret *Transformed
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if len(p.nth) > 0 {
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tokens := Tokenize(item.text, p.delimiter)
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ret = Transform(tokens, p.nth)
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} else {
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trans := Transformed{
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whole: item.text,
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parts: []Token{Token{text: item.text, prefixLength: 0}}}
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ret = &trans
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}
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item.transformed = ret
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return ret
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}
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func (p *Pattern) iter(pfun func(bool, *string, []rune) (int, int),
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inputs *Transformed, pattern []rune) (int, int) {
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for _, part := range inputs.parts {
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prefixLength := part.prefixLength
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if sidx, eidx := pfun(p.caseSensitive, part.text, pattern); sidx >= 0 {
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return sidx + prefixLength, eidx + prefixLength
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}
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}
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return -1, -1
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}
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