在数组中保留唯一值和排序。

(使用Swift 3)

    var top3score: [Int] = []


    outerLoop: for i in 0..<top10score.count {
        dlog(message: String(top10score[i]))

        if top3score.count == 3 {
            break
        }

        for aTop3score in top3score {
            if aTop3score == top10score[i] {
                continue outerLoop
            }
        }

        top3score.append(top10score[i])

    }

    print("top10score is \(top10score)")  //[14, 5, 5, 5, 3, 3, 2, 2, 2, 2]
    print("top3score is \(top3score)")   //[14, 5, 3]

如果你需要值排序，这是工作(Swift 4)

let sortedValues = Array(Set(Array)).sorted()

这里我对对象做了O(n)解。不是少行解决方案，而是……

struct DistinctWrapper <T>: Hashable {
    var underlyingObject: T
    var distinctAttribute: String
    var hashValue: Int {
        return distinctAttribute.hashValue
    }
}
func distinct<S : SequenceType, T where S.Generator.Element == T>(source: S,
                                                                distinctAttribute: (T) -> String,
                                                                resolution: (T, T) -> T) -> [T] {
    let wrappers: [DistinctWrapper<T>] = source.map({
        return DistinctWrapper(underlyingObject: $0, distinctAttribute: distinctAttribute($0))
    })
    var added = Set<DistinctWrapper<T>>()
    for wrapper in wrappers {
        if let indexOfExisting = added.indexOf(wrapper) {
            let old = added[indexOfExisting]
            let winner = resolution(old.underlyingObject, wrapper.underlyingObject)
            added.insert(DistinctWrapper(underlyingObject: winner, distinctAttribute: distinctAttribute(winner)))
        } else {
            added.insert(wrapper)
        }
    }
    return Array(added).map( { return $0.underlyingObject } )
}
func == <T>(lhs: DistinctWrapper<T>, rhs: DistinctWrapper<T>) -> Bool {
    return lhs.hashValue == rhs.hashValue
}

// tests
// case : perhaps we want to get distinct addressbook list which may contain duplicated contacts like Irma and Irma Burgess with same phone numbers
// solution : definitely we want to exclude Irma and keep Irma Burgess
class Person {
    var name: String
    var phoneNumber: String
    init(_ name: String, _ phoneNumber: String) {
        self.name = name
        self.phoneNumber = phoneNumber
    }
}

let persons: [Person] = [Person("Irma Burgess", "11-22-33"), Person("Lester Davidson", "44-66-22"), Person("Irma", "11-22-33")]
let distinctPersons = distinct(persons,
    distinctAttribute: { (person: Person) -> String in
        return person.phoneNumber
    },
    resolution:
    { (p1, p2) -> Person in
        return p1.name.characters.count > p2.name.characters.count ? p1 : p2
    }
)
// distinctPersons contains ("Irma Burgess", "11-22-33") and ("Lester Davidson", "44-66-22")

斯威夫特4

保证继续订购。

extension Array where Element: Equatable {
    func removingDuplicates() -> Array {
        return reduce(into: []) { result, element in
            if !result.contains(element) {
                result.append(element)
            }
        }
    }
}

像函数式程序员一样思考:)

要根据元素是否已经出现来筛选列表，需要索引。可以使用enumeration获取索引，并使用map返回值列表。

let unique = myArray
    .enumerated()
    .filter{ myArray.firstIndex(of: $0.1) == $0.0 }
    .map{ $0.1 }

这保证了秩序。如果你不介意顺序，那么Array(Set(myArray))的现有答案更简单，可能更有效。

更新:一些关于效率和正确性的注意事项

一些人对效率进行了评论。我肯定是先写正确而简单的代码，然后再找出瓶颈，尽管我知道这是否比Array(Set(Array))更清楚是有争议的。

这个方法比Array(Set(Array))慢很多。正如评论中所指出的，它确实保持了顺序，并对非Hashable的元素起作用。

然而，@Alain T的方法也保持了秩序，也快得多。所以除非你的元素类型是不可哈希的，或者你只是需要一个快速的一行，那么我建议采用他们的解决方案。

以下是MacBook Pro(2014)在Xcode 11.3.1 (Swift 5.1)发布模式下的一些测试。

profiler函数和两个比较方法:

func printTimeElapsed(title:String, operation:()->()) {
    var totalTime = 0.0
    for _ in (0..<1000) {
        let startTime = CFAbsoluteTimeGetCurrent()
        operation()
        let timeElapsed = CFAbsoluteTimeGetCurrent() - startTime
        totalTime += timeElapsed
    }
    let meanTime = totalTime / 1000
    print("Mean time for \(title): \(meanTime) s")
}

func method1<T: Hashable>(_ array: Array<T>) -> Array<T> {
    return Array(Set(array))
}

func method2<T: Equatable>(_ array: Array<T>) -> Array<T>{
    return array
    .enumerated()
    .filter{ array.firstIndex(of: $0.1) == $0.0 }
    .map{ $0.1 }
}

// Alain T.'s answer (adapted)
func method3<T: Hashable>(_ array: Array<T>) -> Array<T> {
    var uniqueKeys = Set<T>()
    return array.filter{uniqueKeys.insert($0).inserted}
}

以及少量的测试输入:

func randomString(_ length: Int) -> String {
  let letters = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789"
  return String((0..<length).map{ _ in letters.randomElement()! })
}

let shortIntList = (0..<100).map{_ in Int.random(in: 0..<100) }
let longIntList = (0..<10000).map{_ in Int.random(in: 0..<10000) }
let longIntListManyRepetitions = (0..<10000).map{_ in Int.random(in: 0..<100) }
let longStringList = (0..<10000).map{_ in randomString(1000)}
let longMegaStringList = (0..<10000).map{_ in randomString(10000)}

给出输出:

Mean time for method1 on shortIntList: 2.7358531951904296e-06 s
Mean time for method2 on shortIntList: 4.910230636596679e-06 s
Mean time for method3 on shortIntList: 6.417632102966309e-06 s
Mean time for method1 on longIntList: 0.0002518167495727539 s
Mean time for method2 on longIntList: 0.021718120217323302 s
Mean time for method3 on longIntList: 0.0005312927961349487 s
Mean time for method1 on longIntListManyRepetitions: 0.00014377200603485108 s
Mean time for method2 on longIntListManyRepetitions: 0.0007293639183044434 s
Mean time for method3 on longIntListManyRepetitions: 0.0001843773126602173 s
Mean time for method1 on longStringList: 0.007168249964714051 s
Mean time for method2 on longStringList: 0.9114790915250778 s
Mean time for method3 on longStringList: 0.015888616919517515 s
Mean time for method1 on longMegaStringList: 0.0525397013425827 s
Mean time for method2 on longMegaStringList: 1.111266262292862 s
Mean time for method3 on longMegaStringList: 0.11214958941936493 s

这在Swift 4中是有效的，如果你不想/需要将结果转换为数组，但可以使用Set。默认情况下，结果没有排序，但是可以使用sorted()这样做，它返回一个数组，如print语句所示。

let array = [1, 4, 2, 2, 6, 24, 15, 2, 60, 15, 6]

var result = Set<Int>()
_ = array.map{ result.insert($0) }

print(result.sorted())  // [1, 2, 4, 6, 15, 24, 60]