/* __ *\ ** ________ ___ / / ___ Scala API ** ** / __/ __// _ | / / / _ | (c) 2006-2009, Ross Judson ** ** __\ \/ /__/ __ |/ /__/ __ | http://scala-lang.org/ ** ** /____/\___/_/ |_/____/_/ | | ** ** |/ ** \* */ package scala.util import scala.reflect.ClassTag import scala.math.Ordering /** The Sorting object provides functions that can sort various kinds of * objects. You can provide a comparison function, or you can request a sort * of items that are viewable as [[scala.math.Ordered]]. Some sorts that * operate directly on a subset of value types are also provided. These * implementations are derived from those in the Sun JDK. * * Note that stability doesn't matter for value types, so use the `quickSort` * variants for those. `stableSort` is intended to be used with * objects when the prior ordering should be preserved, where possible. * * @author Ross Judson * @version 1.0 */ object Sorting { /** Quickly sort an array of Doubles. */ def quickSort(a: Array[Double]) { sort1(a, 0, a.length) } /** Quickly sort an array of items with an implicit Ordering. */ def quickSort[K: Ordering](a: Array[K]) { sort1(a, 0, a.length) } /** Quickly sort an array of Ints. */ def quickSort(a: Array[Int]) { sort1(a, 0, a.length) } /** Quickly sort an array of Floats. */ def quickSort(a: Array[Float]) { sort1(a, 0, a.length) } /** Sort an array of K where K is Ordered, preserving the existing order * where the values are equal. */ def stableSort[K: ArrayTag: Ordering](a: Array[K]) { stableSort(a, 0, a.length-1, new Array[K](a.length), Ordering[K].lt _) } /** Sorts an array of `K` given an ordering function `f`. * `f` should return `true` iff its first parameter is strictly less than its second parameter. */ def stableSort[K: ArrayTag](a: Array[K], f: (K, K) => Boolean) { stableSort(a, 0, a.length-1, new Array[K](a.length), f) } /** Sorts an arbitrary sequence into an array, given a comparison function * that should return `true` iff parameter one is strictly less than parameter two. * * @param a the sequence to be sorted. * @param f the comparison function. * @return the sorted sequence of items. */ def stableSort[K: ArrayTag](a: Seq[K], f: (K, K) => Boolean): Array[K] = { val ret = a.toArray stableSort(ret, f) ret } /** Sorts an arbitrary sequence of items that are viewable as ordered. */ def stableSort[K: ArrayTag: Ordering](a: Seq[K]): Array[K] = stableSort(a, Ordering[K].lt _) /** Stably sorts a sequence of items given an extraction function that will * return an ordered key from an item. * * @param a the sequence to be sorted. * @param f the comparison function. * @return the sorted sequence of items. */ def stableSort[K: ArrayTag, M: Ordering](a: Seq[K], f: K => M): Array[K] = stableSort(a)(implicitly[ArrayTag[K]], Ordering[M] on f) private def sort1[K: Ordering](x: Array[K], off: Int, len: Int) { val ord = Ordering[K] import ord._ def swap(a: Int, b: Int) { val t = x(a) x(a) = x(b) x(b) = t } def vecswap(_a: Int, _b: Int, n: Int) { var a = _a var b = _b var i = 0 while (i < n) { swap(a, b) i += 1 a += 1 b += 1 } } def med3(a: Int, b: Int, c: Int) = { if (x(a) < x(b)) { if (x(b) < x(c)) b else if (x(a) < x(c)) c else a } else { if (x(b) > x(c)) b else if (x(a) > x(c)) c else a } } def sort2(off: Int, len: Int) { // Insertion sort on smallest arrays if (len < 7) { var i = off while (i < len + off) { var j = i while (j > off && x(j-1) > x(j)) { swap(j, j-1) j -= 1 } i += 1 } } else { // Choose a partition element, v var m = off + (len >> 1) // Small arrays, middle element if (len > 7) { var l = off var n = off + len - 1 if (len > 40) { // Big arrays, pseudomedian of 9 val s = len / 8 l = med3(l, l+s, l+2*s) m = med3(m-s, m, m+s) n = med3(n-2*s, n-s, n) } m = med3(l, m, n) // Mid-size, med of 3 } val v = x(m) // Establish Invariant: v* (v)* v* var a = off var b = a var c = off + len - 1 var d = c var done = false while (!done) { while (b <= c && x(b) <= v) { if (x(b) == v) { swap(a, b) a += 1 } b += 1 } while (c >= b && x(c) >= v) { if (x(c) == v) { swap(c, d) d -= 1 } c -= 1 } if (b > c) { done = true } else { swap(b, c) c -= 1 b += 1 } } // Swap partition elements back to middle val n = off + len var s = math.min(a-off, b-a) vecswap(off, b-s, s) s = math.min(d-c, n-d-1) vecswap(b, n-s, s) // Recursively sort non-partition-elements s = b - a if (s > 1) sort2(off, s) s = d - c if (s > 1) sort2(n-s, s) } } sort2(off, len) } private def sort1(x: Array[Int], off: Int, len: Int) { def swap(a: Int, b: Int) { val t = x(a) x(a) = x(b) x(b) = t } def vecswap(_a: Int, _b: Int, n: Int) { var a = _a var b = _b var i = 0 while (i < n) { swap(a, b) i += 1 a += 1 b += 1 } } def med3(a: Int, b: Int, c: Int) = { if (x(a) < x(b)) { if (x(b) < x(c)) b else if (x(a) < x(c)) c else a } else { if (x(b) > x(c)) b else if (x(a) > x(c)) c else a } } def sort2(off: Int, len: Int) { // Insertion sort on smallest arrays if (len < 7) { var i = off while (i < len + off) { var j = i while (j>off && x(j-1) > x(j)) { swap(j, j-1) j -= 1 } i += 1 } } else { // Choose a partition element, v var m = off + (len >> 1) // Small arrays, middle element if (len > 7) { var l = off var n = off + len - 1 if (len > 40) { // Big arrays, pseudomedian of 9 val s = len / 8 l = med3(l, l+s, l+2*s) m = med3(m-s, m, m+s) n = med3(n-2*s, n-s, n) } m = med3(l, m, n) // Mid-size, med of 3 } val v = x(m) // Establish Invariant: v* (v)* v* var a = off var b = a var c = off + len - 1 var d = c var done = false while (!done) { while (b <= c && x(b) <= v) { if (x(b) == v) { swap(a, b) a += 1 } b += 1 } while (c >= b && x(c) >= v) { if (x(c) == v) { swap(c, d) d -= 1 } c -= 1 } if (b > c) { done = true } else { swap(b, c) c -= 1 b += 1 } } // Swap partition elements back to middle val n = off + len var s = math.min(a-off, b-a) vecswap(off, b-s, s) s = math.min(d-c, n-d-1) vecswap(b, n-s, s) // Recursively sort non-partition-elements s = b - a if (s > 1) sort2(off, s) s = d - c if (s > 1) sort2(n-s, s) } } sort2(off, len) } private def sort1(x: Array[Double], off: Int, len: Int) { def swap(a: Int, b: Int) { val t = x(a) x(a) = x(b) x(b) = t } def vecswap(_a: Int, _b: Int, n: Int) { var a = _a var b = _b var i = 0 while (i < n) { swap(a, b) i += 1 a += 1 b += 1 } } def med3(a: Int, b: Int, c: Int) = { val ab = x(a) compare x(b) val bc = x(b) compare x(c) val ac = x(a) compare x(c) if (ab < 0) { if (bc < 0) b else if (ac < 0) c else a } else { if (bc > 0) b else if (ac > 0) c else a } } def sort2(off: Int, len: Int) { // Insertion sort on smallest arrays if (len < 7) { var i = off while (i < len + off) { var j = i while (j > off && (x(j-1) compare x(j)) > 0) { swap(j, j-1) j -= 1 } i += 1 } } else { // Choose a partition element, v var m = off + (len >> 1) // Small arrays, middle element if (len > 7) { var l = off var n = off + len - 1 if (len > 40) { // Big arrays, pseudomedian of 9 val s = len / 8 l = med3(l, l+s, l+2*s) m = med3(m-s, m, m+s) n = med3(n-2*s, n-s, n) } m = med3(l, m, n) // Mid-size, med of 3 } val v = x(m) // Establish Invariant: v* (v)* v* var a = off var b = a var c = off + len - 1 var d = c var done = false while (!done) { var bv = x(b) compare v while (b <= c && bv <= 0) { if (bv == 0) { swap(a, b) a += 1 } b += 1 if (b <= c) bv = x(b) compare v } var cv = x(c) compare v while (c >= b && cv >= 0) { if (cv == 0) { swap(c, d) d -= 1 } c -= 1 if (c >= b) cv = x(c) compare v } if (b > c) { done = true } else { swap(b, c) c -= 1 b += 1 } } // Swap partition elements back to middle val n = off + len var s = math.min(a-off, b-a) vecswap(off, b-s, s) s = math.min(d-c, n-d-1) vecswap(b, n-s, s) // Recursively sort non-partition-elements s = b - a if (s > 1) sort2(off, s) s = d - c if (s > 1) sort2(n-s, s) } } sort2(off, len) } private def sort1(x: Array[Float], off: Int, len: Int) { def swap(a: Int, b: Int) { val t = x(a) x(a) = x(b) x(b) = t } def vecswap(_a: Int, _b: Int, n: Int) { var a = _a var b = _b var i = 0 while (i < n) { swap(a, b) i += 1 a += 1 b += 1 } } def med3(a: Int, b: Int, c: Int) = { val ab = x(a) compare x(b) val bc = x(b) compare x(c) val ac = x(a) compare x(c) if (ab < 0) { if (bc < 0) b else if (ac < 0) c else a } else { if (bc > 0) b else if (ac > 0) c else a } } def sort2(off: Int, len: Int) { // Insertion sort on smallest arrays if (len < 7) { var i = off while (i < len + off) { var j = i while (j > off && (x(j-1) compare x(j)) > 0) { swap(j, j-1) j -= 1 } i += 1 } } else { // Choose a partition element, v var m = off + (len >> 1) // Small arrays, middle element if (len > 7) { var l = off var n = off + len - 1 if (len > 40) { // Big arrays, pseudomedian of 9 val s = len / 8 l = med3(l, l+s, l+2*s) m = med3(m-s, m, m+s) n = med3(n-2*s, n-s, n) } m = med3(l, m, n) // Mid-size, med of 3 } val v = x(m) // Establish Invariant: v* (v)* v* var a = off var b = a var c = off + len - 1 var d = c var done = false while (!done) { var bv = x(b) compare v while (b <= c && bv <= 0) { if (bv == 0) { swap(a, b) a += 1 } b += 1 if (b <= c) bv = x(b) compare v } var cv = x(c) compare v while (c >= b && cv >= 0) { if (cv == 0) { swap(c, d) d -= 1 } c -= 1 if (c >= b) cv = x(c) compare v } if (b > c) { done = true } else { swap(b, c) c -= 1 b += 1 } } // Swap partition elements back to middle val n = off + len var s = math.min(a-off, b-a) vecswap(off, b-s, s) s = math.min(d-c, n-d-1) vecswap(b, n-s, s) // Recursively sort non-partition-elements s = b - a if (s > 1) sort2(off, s) s = d - c if (s > 1) sort2(n-s, s) } } sort2(off, len) } private def stableSort[K : ArrayTag](a: Array[K], lo: Int, hi: Int, scratch: Array[K], f: (K,K) => Boolean) { if (lo < hi) { val mid = (lo+hi) / 2 stableSort(a, lo, mid, scratch, f) stableSort(a, mid+1, hi, scratch, f) var k, t_lo = lo var t_hi = mid + 1 while (k <= hi) { if ((t_lo <= mid) && ((t_hi > hi) || (!f(a(t_hi), a(t_lo))))) { scratch(k) = a(t_lo) t_lo += 1 } else { scratch(k) = a(t_hi) t_hi += 1 } k += 1 } k = lo while (k <= hi) { a(k) = scratch(k) k += 1 } } } }