Below is the syntax highlighted version of KendallTau.java
from §2.5 Sorting Applications.
/****************************************************************************** * Compilation: javac KendallTau.java * Execution: java KendallTau n * Dependencies: StdOut.java Inversions.java * * Generate two random permutations of size N and compute their * Kendall tau distance (number of inversions). * ******************************************************************************/ public class KendallTau { // return Kendall tau distance between two permutations public static long distance(int[] a, int[] b) { if (a.length != b.length) { throw new IllegalArgumentException("Array dimensions disagree"); } int n = a.length; int[] ainv = new int[n]; for (int i = 0; i < n; i++) ainv[a[i]] = i; Integer[] bnew = new Integer[n]; for (int i = 0; i < n; i++) bnew[i] = ainv[b[i]]; return Inversions.count(bnew); } // return a random permutation of size n public static int[] permutation(int n) { int[] a = new int[n]; for (int i = 0; i < n; i++) a[i] = i; StdRandom.shuffle(a); return a; } public static void main(String[] args) { // two random permutation of size n int n = Integer.parseInt(args[0]); int[] a = KendallTau.permutation(n); int[] b = KendallTau.permutation(n); // print initial permutation for (int i = 0; i < n; i++) StdOut.println(a[i] + " " + b[i]); StdOut.println(); StdOut.println("inversions = " + KendallTau.distance(a, b)); } }