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diff --git a/elki/src/test/java/de/lmu/ifi/dbs/elki/utilities/datastructures/arrays/IntegerArrayQuickSortTest.java b/elki/src/test/java/de/lmu/ifi/dbs/elki/utilities/datastructures/arrays/IntegerArrayQuickSortTest.java
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+package de.lmu.ifi.dbs.elki.utilities.datastructures.arrays;
+
+/*
+ This file is part of ELKI:
+ Environment for Developing KDD-Applications Supported by Index-Structures
+
+ Copyright (C) 2015
+ Ludwig-Maximilians-Universität München
+ Lehr- und Forschungseinheit für Datenbanksysteme
+ ELKI Development Team
+
+ This program is free software: you can redistribute it and/or modify
+ it under the terms of the GNU Affero General Public License as published by
+ the Free Software Foundation, either version 3 of the License, or
+ (at your option) any later version.
+
+ This program is distributed in the hope that it will be useful,
+ but WITHOUT ANY WARRANTY; without even the implied warranty of
+ MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ GNU Affero General Public License for more details.
+
+ You should have received a copy of the GNU Affero General Public License
+ along with this program. If not, see <http://www.gnu.org/licenses/>.
+ */
+
+import static org.junit.Assert.assertTrue;
+
+import java.util.Random;
+
+import org.junit.Test;
+
+import de.lmu.ifi.dbs.elki.JUnit4Test;
+
+/**
+ * Test the integer array (index array) quick sort.
+ *
+ * @author Erich Schubert
+ * @since 0.7.0
+ */
+public class IntegerArrayQuickSortTest implements JUnit4Test {
+ /**
+ * Array size to use.
+ */
+ final int SIZE = 10000;
+
+ @Test
+ public void testRandomDoubles() {
+ for(int i = 1; i < 10; i++) {
+ testQuickSort(i);
+ }
+ testQuickSort(SIZE);
+ testQuickSort(SIZE + 1);
+ }
+
+ private void testQuickSort(int size) {
+ final double[] data = new double[size];
+ int[] idx = new int[size];
+
+ // Make a random generator, but remember the seed for debugging.
+ Random r = new Random();
+ long seed = r.nextLong();
+ r = new Random(seed);
+
+ // Produce data
+ for(int i = 0; i < size; i++) {
+ data[i] = r.nextDouble();
+ idx[i] = i;
+ }
+
+ // Run QuickSort and validate monotonicity.
+ IntegerArrayQuickSort.sort(idx, new IntegerComparator() {
+ @Override
+ public int compare(int x, int y) {
+ return Double.compare(data[x], data[y]);
+ }
+ });
+ double prev = data[idx[0]];
+ for(int i = 1; i < size; i++) {
+ double val = data[idx[i]];
+ assertTrue("Resulting array is not sorted. Seed=" + seed, prev <= val);
+ prev = val;
+ }
+ }
+
+ @Test(timeout = 500)
+ public void testTies() {
+ int size = 1000000;
+ int[] idx = new int[size];
+
+ // Initialize indexes
+ for(int i = 0; i < size; i++) {
+ idx[i] = 0;
+ }
+
+ // Run QuickSort and validate monotonicity.
+ IntegerArrayQuickSort.sort(idx, new IntegerComparator() {
+ @Override
+ public int compare(int x, int y) {
+ return (x < y) ? -1 : (x == y) ? 0 : +1;
+ }
+ });
+
+ int prev = idx[0];
+ for(int i = 1; i < size; i++) {
+ int val = idx[i];
+ assertTrue("Resulting array is not sorted.", prev <= val);
+ prev = val;
+ }
+ }
+
+ @Test(timeout = 500)
+ public void testSorted() {
+ int size = 1000000;
+ int[] idx = new int[size];
+
+ // Initialize indexes
+ for(int i = 0; i < size; i++) {
+ idx[i] = size - i;
+ }
+
+ // Run QuickSort and validate monotonicity.
+ IntegerArrayQuickSort.sort(idx, new IntegerComparator() {
+ @Override
+ public int compare(int x, int y) {
+ return (x < y) ? -1 : (x == y) ? 0 : +1;
+ }
+ });
+
+ int prev = idx[0];
+ for(int i = 1; i < size; i++) {
+ int val = idx[i];
+ assertTrue("Resulting array is not sorted.", prev <= val);
+ prev = val;
+ }
+ }
+} \ No newline at end of file