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Increased workload to sorting of 10k items. Used SplitMix64 PRNG for randomness. Adjusted formatting and naming to match Swift conventions. Adjusted documentation.
132 lines
4.1 KiB
Swift
132 lines
4.1 KiB
Swift
//===--- BucketSort.swift -------------------------------------------------===//
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//
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// This source file is part of the Swift.org open source project
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//
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// Copyright (c) 2014 - 2017 Apple Inc. and the Swift project authors
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// Licensed under Apache License v2.0 with Runtime Library Exception
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//
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// See https://swift.org/LICENSE.txt for license information
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// See https://swift.org/CONTRIBUTORS.txt for the list of Swift project authors
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//
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//===----------------------------------------------------------------------===//
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// This benchmark demonstrates the benefits of ExistentialSpecializer
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// optimization pass. It's a generic version of the classic BucketSort algorithm
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// adapted from an original implementation from the Swift Algorithm Club.
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// See https://en.wikipedia.org/wiki/Bucket_sort and
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// https://github.com/raywenderlich/swift-algorithm-club/tree/master/Bucket%20Sort
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//
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// It sorts an array of generic `SortableItem`s. If the type of `sortingAlgo`
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// is not known to the call site at line 90, the `sort` method can not be
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// specialized to integer array sorting, which will lead to a huge performance
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// loss. Since `SortingAlgorithm` and `InsertionSort` are declared to be
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// `public` and the lines 89-91 can not be inlined in `bucketSort` (due to
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// inlining heuristic limitations), compiler without ExistentialSpecializer
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// optimization can not achieve this feat. With ExistentialSpecializer which
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// enables generic specialization recursively in a call chain, we're able to
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// specialize line 90 for `InsertionSort` on integers.
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import TestsUtils
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import Foundation
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public let BucketSort = BenchmarkInfo(
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name: "BucketSort",
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runFunction: run_BucketSort,
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tags: [.validation, .algorithm],
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setUpFunction: { blackHole(buckets) }
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)
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public protocol IntegerConvertible {
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func convertToInt() -> Int
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}
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extension Int: IntegerConvertible, SortableItem {
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public func convertToInt() -> Int {
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return self
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}
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}
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public protocol SortableItem: IntegerConvertible, Comparable { }
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public protocol SortingAlgorithm {
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func sort<T: SortableItem>(_ items: [T]) -> [T]
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}
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public struct InsertionSort: SortingAlgorithm {
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public func sort<T: SortableItem>(_ items: [T]) -> [T] {
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var sortedItems = items
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for i in 0 ..< sortedItems.count {
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var j = i
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while j > 0 && sortedItems[j-1] > sortedItems[j] {
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let temp = sortedItems[j-1]
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sortedItems[j-1] = sortedItems[j]
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sortedItems[j] = temp
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j -= 1
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}
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}
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return sortedItems
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}
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}
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func distribute<T>(_ item: T, bucketArray: inout [Bucket<T>]) {
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let val = item.convertToInt()
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let capacity = bucketArray.first!.capacity
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let index = val / capacity
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bucketArray[index].add(item)
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}
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struct Bucket<T: SortableItem> {
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var items: [T]
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let capacity: Int
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init(capacity: Int) {
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self.capacity = capacity
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items = [T]()
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}
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mutating func add(_ item: T) {
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if items.count < capacity {
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items.append(item)
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}
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}
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func sort(_ sortingAlgo: SortingAlgorithm) -> [T] {
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return sortingAlgo.sort(items)
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}
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}
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func bucketSort<T>(
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_ items: [T], sortingAlgorithm: SortingAlgorithm, bucketArray: [Bucket<T>]
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) -> [T] {
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var copyBucketArray = bucketArray
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for item in items {
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distribute(item, bucketArray: ©BucketArray)
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}
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var sortedArray = [T]()
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for bucket in copyBucketArray {
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sortedArray += bucket.sort(sortingAlgorithm)
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}
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return sortedArray
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}
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func isAscending(_ a: [Int]) -> Bool {
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return zip(a, a.dropFirst()).allSatisfy(<=)
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}
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let items: [Int] = {
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var g = SplitMix64(seed: 42)
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return (0..<10_000).map {_ in Int.random(in: 0..<1000, using: &g) }
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}()
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let buckets: [Bucket<Int>] = {
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let bucketCount = 10
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let maxValue = items.max()!.convertToInt()
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let maxCapacity = Int(ceil(Double(maxValue + 1) / Double(bucketCount)))
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return (0..<bucketCount).map { _ in Bucket<Int>(capacity: maxCapacity) }
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}()
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@inline(never)
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func run_BucketSort(_ N : Int) {
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for _ in 0..<N {
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let sortedArray = bucketSort(
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items, sortingAlgorithm: InsertionSort(), bucketArray: buckets)
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CheckResults(isAscending(sortedArray))
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}
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}
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