mirror of
https://github.com/qvacua/vimr.git
synced 2024-12-18 11:11:34 +03:00
149 lines
3.5 KiB
Swift
149 lines
3.5 KiB
Swift
/**
|
||
* Tae Won Ha - http://taewon.de - @hataewon
|
||
* See LICENSE
|
||
*/
|
||
|
||
import Foundation
|
||
|
||
class Matcher {
|
||
|
||
static let uppercaseCharSet = CharacterSet.uppercaseLetters
|
||
|
||
enum ExactMatchResult {
|
||
case none
|
||
case exact
|
||
case prefix
|
||
case suffix
|
||
case contains
|
||
}
|
||
|
||
static func exactMatchIgnoringCase(_ target: String, pattern: String) -> ExactMatchResult {
|
||
let ltarget = target.lowercased()
|
||
let lpattern = pattern.lowercased()
|
||
if ltarget == lpattern {
|
||
return .exact
|
||
}
|
||
|
||
if ltarget.hasPrefix(lpattern) {
|
||
return .prefix
|
||
}
|
||
|
||
if ltarget.hasSuffix(lpattern) {
|
||
return .suffix
|
||
}
|
||
|
||
if ltarget.contains(lpattern) {
|
||
return .contains
|
||
}
|
||
|
||
return .none
|
||
}
|
||
|
||
static func numberOfUppercaseMatches(_ target: String, pattern: String) -> Int {
|
||
var tscalars = target.unicodeScalars.filter { uppercaseCharSet.contains(UnicodeScalar($0.value)!) }
|
||
|
||
let count = tscalars.count
|
||
guard count > 0 else {
|
||
return 0
|
||
}
|
||
|
||
let pscalars = pattern.uppercased().unicodeScalars
|
||
|
||
pscalars.forEach { scalar in
|
||
if let idx = tscalars.index(of: scalar) {
|
||
tscalars.remove(at: idx)
|
||
}
|
||
}
|
||
|
||
return count - tscalars.count
|
||
}
|
||
|
||
/// Matches `pattern` to `target` in a fuzzy way.
|
||
/// - returns: `Array` of `Range<String.UnicodeScalarIndex>`
|
||
static func fuzzyIgnoringCase(_ target: String,
|
||
pattern: String) -> (matches: Int, ranges: [CountableClosedRange<Int>]) {
|
||
let tlower = target.lowercased()
|
||
let plower = pattern.lowercased()
|
||
|
||
let tchars = tlower.unicodeScalars
|
||
let pchars = plower.unicodeScalars
|
||
|
||
var flags = Array(repeating: false, count: tchars.count)
|
||
|
||
var pidx = pchars.startIndex
|
||
for (i, tchar) in tchars.enumerated() {
|
||
if pchars[pidx] == tchar {
|
||
flags[i] = true
|
||
pidx = pchars.index(after: pidx)
|
||
}
|
||
}
|
||
|
||
var ranges: [CountableClosedRange<Int>] = []
|
||
var matches = 0
|
||
|
||
var lastTrue = -1
|
||
var curTrue = -1
|
||
|
||
for (i, isTrue) in flags.enumerated() {
|
||
if isTrue {
|
||
matches = matches &+ 1
|
||
if lastTrue == -1 {
|
||
lastTrue = i
|
||
}
|
||
curTrue = i
|
||
|
||
if i == flags.count &- 1 {
|
||
if lastTrue > -1 && curTrue > -1 {
|
||
ranges.append(lastTrue...curTrue)
|
||
lastTrue = -1
|
||
curTrue = -1
|
||
}
|
||
}
|
||
} else {
|
||
if lastTrue > -1 && curTrue > -1 {
|
||
ranges.append(lastTrue...curTrue)
|
||
lastTrue = -1
|
||
curTrue = -1
|
||
}
|
||
}
|
||
}
|
||
|
||
return (matches, ranges)
|
||
}
|
||
|
||
/// Wagner-Fischer algorithm.
|
||
/// We use the 32 bit representation (`String.unicodeScalars`) of both parameters to compare them.
|
||
///
|
||
/// - returns: the distance of pattern from target
|
||
/// - seealso: https://en.wikipedia.org/wiki/Wagner–Fischer_algorithm
|
||
static func wagnerFisherDistance(_ target: String, pattern: String) -> Int {
|
||
let s = target.unicodeScalars
|
||
let t = pattern.unicodeScalars
|
||
|
||
let m = s.count
|
||
|
||
var prevRow = Array(repeating: 0, count: m &+ 1)
|
||
var curRow = Array(repeating: 0, count: m &+ 1)
|
||
|
||
for i in 0...m {
|
||
prevRow[i] = i
|
||
}
|
||
|
||
for (j, tchar) in t.enumerated() {
|
||
curRow[0] = j &+ 1
|
||
|
||
for (i, schar) in s.enumerated() {
|
||
if schar == tchar {
|
||
curRow[i &+ 1] = prevRow[i]
|
||
} else {
|
||
curRow[i &+ 1] = min(curRow[i] &+ 1, prevRow[i &+ 1] &+ 1, prevRow[i] &+ 1)
|
||
}
|
||
}
|
||
|
||
prevRow = curRow
|
||
}
|
||
|
||
return curRow[m]
|
||
}
|
||
}
|