Add fuzzysearch to vendor/
This commit is contained in:
parent
f30eb65256
commit
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8
Gopkg.lock
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8
Gopkg.lock
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@ -13,6 +13,12 @@
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revision = "bbcee2f5c9d5e94ca42c8b50ec847fec64a6c134"
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version = "v1.4.2"
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[[projects]]
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branch = "master"
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name = "github.com/evidlo/fuzzysearch"
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packages = ["fuzzy"]
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revision = "f6153b556daf86b90da85818544c8b498640759c"
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[[projects]]
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branch = "master"
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name = "github.com/gdamore/encoding"
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@ -138,6 +144,6 @@
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[solve-meta]
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analyzer-name = "dep"
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analyzer-version = 1
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inputs-digest = "375d42f271992a59ae0bcf25e2401aae2f4d8adb7b63605c4ffef577c5154025"
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inputs-digest = "a206fe41b10601a6e9cf402fc120084d48f589287882674baee54855ad513da1"
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solver-name = "gps-cdcl"
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solver-version = 1
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@ -73,6 +73,10 @@
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branch = "master"
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name = "maunium.net/go/tview"
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[[constraint]]
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branch = "master"
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name = "github.com/evidlo/fuzzysearch"
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[prune]
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go-tests = true
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unused-packages = true
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21
vendor/github.com/evidlo/fuzzysearch/LICENSE
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vendored
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vendor/github.com/evidlo/fuzzysearch/LICENSE
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vendored
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The MIT License (MIT)
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Copyright (c) 2015 Peter Renström
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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176
vendor/github.com/evidlo/fuzzysearch/fuzzy/fuzzy.go
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vendored
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vendor/github.com/evidlo/fuzzysearch/fuzzy/fuzzy.go
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// Fuzzy searching allows for flexibly matching a string with partial input,
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// useful for filtering data very quickly based on lightweight user input.
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package fuzzy
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import (
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"unicode"
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"unicode/utf8"
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)
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var noop = func(r rune) rune { return r }
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// Match returns true if source matches target using a fuzzy-searching
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// algorithm. Note that it doesn't implement Levenshtein distance (see
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// RankMatch instead), but rather a simplified version where there's no
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// approximation. The method will return true only if each character in the
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// source can be found in the target and occurs after the preceding matches.
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func Match(source, target string) bool {
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return match(source, target, noop)
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}
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// MatchFold is a case-insensitive version of Match.
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func MatchFold(source, target string) bool {
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return match(source, target, unicode.ToLower)
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}
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func match(source, target string, fn func(rune) rune) bool {
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lenDiff := len(target) - len(source)
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if lenDiff < 0 {
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return false
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}
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if lenDiff == 0 && source == target {
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return true
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}
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Outer:
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for _, r1 := range source {
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for i, r2 := range target {
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if fn(r1) == fn(r2) {
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target = target[i+utf8.RuneLen(r2):]
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continue Outer
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}
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}
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return false
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}
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return true
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}
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// Find will return a list of strings in targets that fuzzy matches source.
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func Find(source string, targets []string) []string {
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return find(source, targets, noop)
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}
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// FindFold is a case-insensitive version of Find.
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func FindFold(source string, targets []string) []string {
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return find(source, targets, unicode.ToLower)
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}
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func find(source string, targets []string, fn func(rune) rune) []string {
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var matches []string
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for _, target := range targets {
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if match(source, target, fn) {
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matches = append(matches, target)
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}
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}
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return matches
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}
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// RankMatch is similar to Match except it will measure the Levenshtein
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// distance between the source and the target and return its result. If there
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// was no match, it will return -1.
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// Given the requirements of match, RankMatch only needs to perform a subset of
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// the Levenshtein calculation, only deletions need be considered, required
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// additions and substitutions would fail the match test.
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func RankMatch(source, target string) int {
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return rank(source, target, noop)
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}
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// RankMatchFold is a case-insensitive version of RankMatch.
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func RankMatchFold(source, target string) int {
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return rank(source, target, unicode.ToLower)
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}
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func rank(source, target string, fn func(rune) rune) int {
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lenDiff := len(target) - len(source)
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if lenDiff < 0 {
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return -1
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}
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if lenDiff == 0 && source == target {
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return 0
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}
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runeDiff := 0
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Outer:
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for _, r1 := range source {
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for i, r2 := range target {
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if fn(r1) == fn(r2) {
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target = target[i+utf8.RuneLen(r2):]
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continue Outer
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} else {
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runeDiff++
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}
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}
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return -1
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}
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// Count up remaining char
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for len(target) > 0 {
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target = target[utf8.RuneLen(rune(target[0])):]
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runeDiff++
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}
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return runeDiff
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}
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// RankFind is similar to Find, except it will also rank all matches using
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// Levenshtein distance.
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func RankFind(source string, targets []string) Ranks {
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var r Ranks
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for index, target := range targets {
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if match(source, target, noop) {
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distance := LevenshteinDistance(source, target)
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r = append(r, Rank{source, target, distance, index})
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}
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}
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return r
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}
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// RankFindFold is a case-insensitive version of RankFind.
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func RankFindFold(source string, targets []string) Ranks {
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var r Ranks
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for index, target := range targets {
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if match(source, target, unicode.ToLower) {
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distance := LevenshteinDistance(source, target)
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r = append(r, Rank{source, target, distance, index})
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}
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}
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return r
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}
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type Rank struct {
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// Source is used as the source for matching.
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Source string
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// Target is the word matched against.
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Target string
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// Distance is the Levenshtein distance between Source and Target.
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Distance int
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// Location of Target in original list
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Index int
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}
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type Ranks []Rank
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func (r Ranks) Len() int {
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return len(r)
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}
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func (r Ranks) Swap(i, j int) {
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r[i], r[j] = r[j], r[i]
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}
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func (r Ranks) Less(i, j int) bool {
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return r[i].Distance < r[j].Distance
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}
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43
vendor/github.com/evidlo/fuzzysearch/fuzzy/levenshtein.go
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vendor/github.com/evidlo/fuzzysearch/fuzzy/levenshtein.go
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package fuzzy
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// LevenshteinDistance measures the difference between two strings.
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// The Levenshtein distance between two words is the minimum number of
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// single-character edits (i.e. insertions, deletions or substitutions)
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// required to change one word into the other.
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//
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// This implemention is optimized to use O(min(m,n)) space and is based on the
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// optimized C version found here:
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// http://en.wikibooks.org/wiki/Algorithm_implementation/Strings/Levenshtein_distance#C
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func LevenshteinDistance(s, t string) int {
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r1, r2 := []rune(s), []rune(t)
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column := make([]int, len(r1)+1)
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for y := 1; y <= len(r1); y++ {
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column[y] = y
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}
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for x := 1; x <= len(r2); x++ {
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column[0] = x
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for y, lastDiag := 1, x-1; y <= len(r1); y++ {
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oldDiag := column[y]
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cost := 0
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if r1[y-1] != r2[x-1] {
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cost = 1
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}
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column[y] = min(column[y]+1, column[y-1]+1, lastDiag+cost)
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lastDiag = oldDiag
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}
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}
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return column[len(r1)]
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}
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func min(a, b, c int) int {
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if a < b && a < c {
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return a
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} else if b < c {
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return b
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}
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return c
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}
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