TestsTested | ✓ |
LangLanguage | SwiftSwift |
License | MIT |
ReleasedLast Release | Dec 2016 |
SwiftSwift Version | 3.0 |
SPMSupports SPM | ✗ |
Maintained by Viktoras Laukevičius.
Lightweight Fuzzy evaluation protocol with CollectionType extension
iOS 8.0+ Swift 2.3
struct PlayerModel {
let name: String
let position: String
let goals: Int
}
Implementation of FuzzySearchable
protocol defines against what search patterns will be evaluated.
extension PlayerModel: FuzzySearchable {
var fuzzyStringToMatch: String {
return name
}
}
FuzzySearchable
instancelet maradona = PlayerModel(name: "Diego Maradona", position: "F", goals: 16)
maradona.fuzzyMatch("diema") // FuzzySearchResult(weight: 15, parts: [(0,3), (6,2)])
FuzzySearchResult
Result of evaluation carries two properties:
weight
- weight of the matchparts
- NSRange
's of pattern matching against fuzzyStringToMatch
FuzzySearchable
sWhen evaluating collection of FuzzySearchable
s result is an array of tuples (item: Generator.Element, result: FuzzySearchResult)
which is filtered and sorted depending on weight
.
let players = [
PlayerModel(name: "Diego Maradona", position: "CF", goals: 16),
PlayerModel(name: "David Beckham", position: "CAM", goals: 8),
PlayerModel(name: "Lionel Messi", position: "RW", goals: 15)
]
players.fuzzyMatch("di")
//[
// (
// FuzzySearchTests.PlayerModel(name: "Diego Maradona", position: "CF", goals: 16),
// FuzzySearch.FuzzySearchResult(weight: 4, parts: [(0,2)])
// ), (
// FuzzySearchTests.PlayerModel(name: "David Beckham", position: "CAM", goals: 8),
// FuzzySearch.FuzzySearchResult(weight: 2, parts: [(0,1), (3,1)])
// )
//]
FuzzySearch is released under the MIT license.