added

vendor/github.com/lithammer/fuzzysearch/LICENSE

@@ -0,0 +1,21 @@
+The MIT License (MIT)
+
+Copyright (c) 2018 Peter Lithammer
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

vendor/github.com/lithammer/fuzzysearch/fuzzy/fuzzy.go

@@ -0,0 +1,275 @@
+// Fuzzy searching allows for flexibly matching a string with partial input,
+// useful for filtering data very quickly based on lightweight user input.
+package fuzzy
+
+import (
+	"unicode"
+	"unicode/utf8"
+
+	"golang.org/x/text/runes"
+	"golang.org/x/text/transform"
+	"golang.org/x/text/unicode/norm"
+)
+
+func noopTransformer() transform.Transformer {
+	return nopTransformer{}
+}
+
+func foldTransformer() transform.Transformer {
+	return unicodeFoldTransformer{}
+}
+
+func normalizeTransformer() transform.Transformer {
+	return transform.Chain(norm.NFD, runes.Remove(runes.In(unicode.Mn)), norm.NFC)
+}
+
+func normalizedFoldTransformer() transform.Transformer {
+	return transform.Chain(normalizeTransformer(), foldTransformer())
+}
+
+// Match returns true if source matches target using a fuzzy-searching
+// algorithm. Note that it doesn't implement Levenshtein distance (see
+// RankMatch instead), but rather a simplified version where there's no
+// approximation. The method will return true only if each character in the
+// source can be found in the target and occurs after the preceding matches.
+func Match(source, target string) bool {
+	return match(source, target, noopTransformer())
+}
+
+// MatchFold is a case-insensitive version of Match.
+func MatchFold(source, target string) bool {
+	return match(source, target, foldTransformer())
+}
+
+// MatchNormalized is a unicode-normalized version of Match.
+func MatchNormalized(source, target string) bool {
+	return match(source, target, normalizeTransformer())
+}
+
+// MatchNormalizedFold is a unicode-normalized and case-insensitive version of Match.
+func MatchNormalizedFold(source, target string) bool {
+	return match(source, target, normalizedFoldTransformer())
+}
+
+func match(source, target string, transformer transform.Transformer) bool {
+	source = stringTransform(source, transformer)
+	target = stringTransform(target, transformer)
+
+	lenDiff := len(target) - len(source)
+
+	if lenDiff < 0 {
+		return false
+	}
+
+	if lenDiff == 0 && source == target {
+		return true
+	}
+
+Outer:
+	for _, r1 := range source {
+		for i, r2 := range target {
+			if r1 == r2 {
+				target = target[i+utf8.RuneLen(r2):]
+				continue Outer
+			}
+		}
+		return false
+	}
+
+	return true
+}
+
+// Find will return a list of strings in targets that fuzzy matches source.
+func Find(source string, targets []string) []string {
+	return find(source, targets, noopTransformer())
+}
+
+// FindFold is a case-insensitive version of Find.
+func FindFold(source string, targets []string) []string {
+	return find(source, targets, foldTransformer())
+}
+
+// FindNormalized is a unicode-normalized version of Find.
+func FindNormalized(source string, targets []string) []string {
+	return find(source, targets, normalizeTransformer())
+}
+
+// FindNormalizedFold is a unicode-normalized and case-insensitive version of Find.
+func FindNormalizedFold(source string, targets []string) []string {
+	return find(source, targets, normalizedFoldTransformer())
+}
+
+func find(source string, targets []string, transformer transform.Transformer) []string {
+	var matches []string
+
+	for _, target := range targets {
+		if match(source, target, transformer) {
+			matches = append(matches, target)
+		}
+	}
+
+	return matches
+}
+
+// RankMatch is similar to Match except it will measure the Levenshtein
+// distance between the source and the target and return its result. If there
+// was no match, it will return -1.
+// Given the requirements of match, RankMatch only needs to perform a subset of
+// the Levenshtein calculation, only deletions need be considered, required
+// additions and substitutions would fail the match test.
+func RankMatch(source, target string) int {
+	return rank(source, target, noopTransformer())
+}
+
+// RankMatchFold is a case-insensitive version of RankMatch.
+func RankMatchFold(source, target string) int {
+	return rank(source, target, foldTransformer())
+}
+
+// RankMatchNormalized is a unicode-normalized version of RankMatch.
+func RankMatchNormalized(source, target string) int {
+	return rank(source, target, normalizeTransformer())
+}
+
+// RankMatchNormalizedFold is a unicode-normalized and case-insensitive version of RankMatch.
+func RankMatchNormalizedFold(source, target string) int {
+	return rank(source, target, normalizedFoldTransformer())
+}
+
+func rank(source, target string, transformer transform.Transformer) int {
+	lenDiff := len(target) - len(source)
+
+	if lenDiff < 0 {
+		return -1
+	}
+
+	source = stringTransform(source, transformer)
+	target = stringTransform(target, transformer)
+
+	if lenDiff == 0 && source == target {
+		return 0
+	}
+
+	runeDiff := 0
+
+Outer:
+	for _, r1 := range source {
+		for i, r2 := range target {
+			if r1 == r2 {
+				target = target[i+utf8.RuneLen(r2):]
+				continue Outer
+			} else {
+				runeDiff++
+			}
+		}
+		return -1
+	}
+
+	// Count up remaining char
+	runeDiff += utf8.RuneCountInString(target)
+
+	return runeDiff
+}
+
+// RankFind is similar to Find, except it will also rank all matches using
+// Levenshtein distance.
+func RankFind(source string, targets []string) Ranks {
+	return rankFind(source, targets, noopTransformer())
+}
+
+// RankFindFold is a case-insensitive version of RankFind.
+func RankFindFold(source string, targets []string) Ranks {
+	return rankFind(source, targets, foldTransformer())
+}
+
+// RankFindNormalized is a unicode-normalized version of RankFind.
+func RankFindNormalized(source string, targets []string) Ranks {
+	return rankFind(source, targets, normalizeTransformer())
+}
+
+// RankFindNormalizedFold is a unicode-normalized and case-insensitive version of RankFind.
+func RankFindNormalizedFold(source string, targets []string) Ranks {
+	return rankFind(source, targets, normalizedFoldTransformer())
+}
+
+func rankFind(source string, targets []string, transformer transform.Transformer) Ranks {
+	var r Ranks
+
+	for index, target := range targets {
+		if match(source, target, transformer) {
+			distance := LevenshteinDistance(source, target)
+			r = append(r, Rank{source, target, distance, index})
+		}
+	}
+	return r
+}
+
+type Rank struct {
+	// Source is used as the source for matching.
+	Source string
+
+	// Target is the word matched against.
+	Target string
+
+	// Distance is the Levenshtein distance between Source and Target.
+	Distance int
+
+	// Location of Target in original list
+	OriginalIndex int
+}
+
+type Ranks []Rank
+
+func (r Ranks) Len() int {
+	return len(r)
+}
+
+func (r Ranks) Swap(i, j int) {
+	r[i], r[j] = r[j], r[i]
+}
+
+func (r Ranks) Less(i, j int) bool {
+	return r[i].Distance < r[j].Distance
+}
+
+func stringTransform(s string, t transform.Transformer) (transformed string) {
+	// Fast path for the nop transformer to prevent unnecessary allocations.
+	if _, ok := t.(nopTransformer); ok {
+		return s
+	}
+
+	var err error
+	transformed, _, err = transform.String(t, s)
+	if err != nil {
+		transformed = s
+	}
+
+	return
+}
+
+type unicodeFoldTransformer struct{ transform.NopResetter }
+
+func (unicodeFoldTransformer) Transform(dst, src []byte, atEOF bool) (nDst, nSrc int, err error) {
+	n := 0
+	// Converting src to a string allocates.
+	// In theory, it need not; see https://go.dev/issue/27148.
+	// It is possible to write this loop using utf8.DecodeRune
+	// and thereby avoid allocations, but it is noticeably slower.
+	// So just let's wait for the compiler to get smarter.
+	for _, r := range string(src) {
+		r = unicode.ToLower(r)
+		x := utf8.RuneLen(r)
+		if x > len(dst[n:]) {
+			err = transform.ErrShortDst
+			break
+		}
+		n += utf8.EncodeRune(dst[n:], r)
+	}
+	return n, n, err
+}
+
+type nopTransformer struct{ transform.NopResetter }
+
+func (nopTransformer) Transform(dst []byte, src []byte, atEOF bool) (int, int, error) {
+	return 0, len(src), nil
+}

vendor/github.com/lithammer/fuzzysearch/fuzzy/levenshtein.go

@@ -0,0 +1,45 @@
+package fuzzy
+
+// LevenshteinDistance measures the difference between two strings.
+// The Levenshtein distance between two words is the minimum number of
+// single-character edits (i.e. insertions, deletions or substitutions)
+// required to change one word into the other.
+//
+// This implemention is optimized to use O(min(m,n)) space and is based on the
+// optimized C version found here:
+// http://en.wikibooks.org/wiki/Algorithm_implementation/Strings/Levenshtein_distance#C
+func LevenshteinDistance(s, t string) int {
+	r1, r2 := []rune(s), []rune(t)
+	column := make([]int, 1, 64)
+
+	for y := 1; y <= len(r1); y++ {
+		column = append(column, y)
+	}
+
+	for x := 1; x <= len(r2); x++ {
+		column[0] = x
+
+		for y, lastDiag := 1, x-1; y <= len(r1); y++ {
+			oldDiag := column[y]
+			cost := 0
+			if r1[y-1] != r2[x-1] {
+				cost = 1
+			}
+			column[y] = min(column[y]+1, column[y-1]+1, lastDiag+cost)
+			lastDiag = oldDiag
+		}
+	}
+
+	return column[len(r1)]
+}
+
+func min2(a, b int) int {
+	if a < b {
+		return a
+	}
+	return b
+}
+
+func min(a, b, c int) int {
+	return min2(min2(a, b), c)
+}