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The defaults we were generating for Collection and BidirectionalCollection didn't make any sense, because if you could do that strideable arithmetic then you essentially had random access. Instead we constrain the defaults to apply to RandomAccessCollection where the Indices are a CountableRange.
227 lines
6.3 KiB
Swift
227 lines
6.3 KiB
Swift
// -*- swift -*-
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// RUN: %target-run-simple-swift
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// REQUIRES: executable_test
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import StdlibUnittest
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import StdlibCollectionUnittest
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import SwiftPrivate
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var Algorithm = TestSuite("Algorithm")
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// FIXME(prext): remove this conformance.
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extension String.UnicodeScalarView : Equatable {}
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// FIXME(prext): remove this function.
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public func == (
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lhs: String.UnicodeScalarView, rhs: String.UnicodeScalarView) -> Bool {
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return Array(lhs) == Array(rhs)
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}
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// FIXME(prext): move this struct to the point of use.
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Algorithm.test("min,max") {
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// Identities are unique in this set.
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let a1 = MinimalComparableValue(0, identity: 1)
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let a2 = MinimalComparableValue(0, identity: 2)
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let a3 = MinimalComparableValue(0, identity: 3)
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let b1 = MinimalComparableValue(1, identity: 4)
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let b2 = MinimalComparableValue(1, identity: 5)
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let b3 = MinimalComparableValue(1, identity: 6)
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let c1 = MinimalComparableValue(2, identity: 7)
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let c2 = MinimalComparableValue(2, identity: 8)
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let c3 = MinimalComparableValue(2, identity: 9)
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// 2-arg min()
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expectEqual(a1.identity, min(a1, b1).identity)
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expectEqual(a1.identity, min(b1, a1).identity)
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expectEqual(a1.identity, min(a1, a2).identity)
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// 2-arg max()
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expectEqual(c1.identity, max(c1, b1).identity)
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expectEqual(c1.identity, max(b1, c1).identity)
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expectEqual(c1.identity, max(c2, c1).identity)
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// 3-arg min()
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expectEqual(a1.identity, min(a1, b1, c1).identity)
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expectEqual(a1.identity, min(b1, a1, c1).identity)
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expectEqual(a1.identity, min(c1, b1, a1).identity)
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expectEqual(a1.identity, min(c1, a1, b1).identity)
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expectEqual(a1.identity, min(a1, a2, a3).identity)
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expectEqual(a1.identity, min(a1, a2, b1).identity)
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expectEqual(a1.identity, min(a1, b1, a2).identity)
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expectEqual(a1.identity, min(b1, a1, a2).identity)
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// 3-arg max()
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expectEqual(c1.identity, max(c1, b1, a1).identity)
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expectEqual(c1.identity, max(a1, c1, b1).identity)
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expectEqual(c1.identity, max(b1, a1, c1).identity)
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expectEqual(c1.identity, max(b1, c1, a1).identity)
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expectEqual(c1.identity, max(c3, c2, c1).identity)
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expectEqual(c1.identity, max(c2, c1, b1).identity)
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expectEqual(c1.identity, max(c2, b1, c1).identity)
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expectEqual(c1.identity, max(b1, c2, c1).identity)
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// 4-arg min()
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expectEqual(a1.identity, min(a1, b1, a2, b2).identity)
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expectEqual(a1.identity, min(b1, a1, a2, b2).identity)
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expectEqual(a1.identity, min(c1, b1, b2, a1).identity)
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expectEqual(a1.identity, min(c1, b1, a1, a2).identity)
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// 4-arg max()
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expectEqual(c1.identity, max(c2, b1, c1, b2).identity)
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expectEqual(c1.identity, max(b1, c2, c1, b2).identity)
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expectEqual(c1.identity, max(a1, b1, b2, c1).identity)
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expectEqual(c1.identity, max(a1, b1, c2, c1).identity)
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}
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Algorithm.test("sorted/strings")
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.xfail(.nativeRuntime("String comparison: ICU vs. Foundation " +
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"https://bugs.swift.org/browse/SR-530"))
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.code {
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expectEqual(
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["Banana", "apple", "cherry"],
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["apple", "Banana", "cherry"].sorted())
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let s = ["apple", "Banana", "cherry"].sorted() {
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$0.characters.count > $1.characters.count
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}
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expectEqual(["Banana", "cherry", "apple"], s)
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}
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// A wrapper around Array<T> that disables any type-specific algorithm
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// optimizations and forces bounds checking on.
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struct A<T> : MutableCollection, RandomAccessCollection {
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typealias Indices = CountableRange<Int>
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init(_ a: Array<T>) {
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impl = a
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}
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var startIndex: Int {
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return 0
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}
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var endIndex: Int {
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return impl.count
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}
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func makeIterator() -> Array<T>.Iterator {
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return impl.makeIterator()
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}
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subscript(i: Int) -> T {
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get {
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expectTrue(i >= 0 && i < impl.count)
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return impl[i]
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}
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set (x) {
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expectTrue(i >= 0 && i < impl.count)
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impl[i] = x
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}
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}
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subscript(r: Range<Int>) -> Array<T>.SubSequence {
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get {
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expectTrue(r.lowerBound >= 0 && r.lowerBound <= impl.count)
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expectTrue(r.upperBound >= 0 && r.upperBound <= impl.count)
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return impl[r]
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}
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set (x) {
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expectTrue(r.lowerBound >= 0 && r.lowerBound <= impl.count)
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expectTrue(r.upperBound >= 0 && r.upperBound <= impl.count)
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impl[r] = x
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}
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}
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var impl: Array<T>
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}
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func randomArray() -> A<Int> {
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let count = Int(rand32(exclusiveUpperBound: 50))
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return A(randArray(count))
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}
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Algorithm.test("invalidOrderings") {
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withInvalidOrderings {
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var a = randomArray()
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_blackHole(a.sorted(isOrderedBefore: $0))
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}
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withInvalidOrderings {
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var a: A<Int>
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a = randomArray()
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_ = a.partition(isOrderedBefore: $0)
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}
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/*
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// FIXME: Disabled due to <rdar://problem/17734737> Unimplemented:
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// abstraction difference in l-value
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withInvalidOrderings {
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var a = randomArray()
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var pred = $0
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_insertionSort(&a, a.indices, &pred)
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}
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*/
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}
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// The routine is based on http://www.cs.dartmouth.edu/~doug/mdmspe.pdf
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func makeQSortKiller(_ len: Int) -> [Int] {
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var candidate: Int = 0
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var keys = [Int:Int]()
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func Compare(_ x: Int, y : Int) -> Bool {
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if keys[x] == nil && keys[y] == nil {
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if (x == candidate) {
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keys[x] = keys.count
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} else {
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keys[y] = keys.count
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}
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}
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if keys[x] == nil {
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candidate = x
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return true
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}
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if keys[y] == nil {
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candidate = y
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return false
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}
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return keys[x]! > keys[y]!
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}
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var ary = [Int](repeating: 0, count: len)
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var ret = [Int](repeating: 0, count: len)
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for i in 0..<len { ary[i] = i }
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ary = ary.sorted(isOrderedBefore: Compare)
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for i in 0..<len {
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ret[ary[i]] = i
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}
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return ret
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}
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Algorithm.test("sorted/complexity") {
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var ary: [Int] = []
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// Check performance of sorting an array of repeating values.
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var comparisons_100 = 0
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ary = [Int](repeating: 0, count: 100)
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ary.sort { comparisons_100 += 1; return $0 < $1 }
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var comparisons_1000 = 0
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ary = [Int](repeating: 0, count: 1000)
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ary.sort { comparisons_1000 += 1; return $0 < $1 }
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expectTrue(comparisons_1000/comparisons_100 < 20)
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// Try to construct 'bad' case for quicksort, on which the algorithm
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// goes quadratic.
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comparisons_100 = 0
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ary = makeQSortKiller(100)
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ary.sort { comparisons_100 += 1; return $0 < $1 }
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comparisons_1000 = 0
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ary = makeQSortKiller(1000)
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ary.sort { comparisons_1000 += 1; return $0 < $1 }
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expectTrue(comparisons_1000/comparisons_100 < 20)
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}
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Algorithm.test("sorted/return type") {
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let x: Array = ([5, 4, 3, 2, 1] as ArraySlice).sorted()
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}
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runAllTests()
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