/******************************************************************************* * Copyright (c) 2010 Haifeng Li * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *******************************************************************************/ package smile.neighbor; import java.util.ArrayList; import java.util.Collections; import java.util.List; import org.junit.After; import org.junit.AfterClass; import org.junit.Before; import org.junit.BeforeClass; import org.junit.Test; import smile.math.distance.EuclideanDistance; import static org.junit.Assert.*; /** * * @author Haifeng Li */ @SuppressWarnings("rawtypes") public class CoverTreeTest { double[][] data = null; CoverTree<double[]> coverTree = null; LinearSearch<double[]> naive = null; public CoverTreeTest() { data = new double[1000][]; for (int i = 0; i < data.length; i++) { data[i] = new double[10]; for (int j = 0; j < data[i].length; j++) data[i][j] = Math.random(); } coverTree = new CoverTree<>(data, new EuclideanDistance()); naive = new LinearSearch<>(data, new EuclideanDistance()); } @BeforeClass public static void setUpClass() throws Exception { } @AfterClass public static void tearDownClass() throws Exception { } @Before public void setUp() { } @After public void tearDown() { } /** * Test of nearest method, of class CoverTree. */ @Test public void testNearest() { System.out.println("nearest"); for (int i = 0; i < data.length; i++) { Neighbor n1 = coverTree.nearest(data[i]); Neighbor n2 = naive.nearest(data[i]); assertEquals(n1.index, n2.index); assertEquals(n1.value, n2.value); assertEquals(n1.distance, n2.distance, 1E-7); } } /** * Test of knn method, of class CoverTree. */ @Test public void testKnn() { System.out.println("knn"); for (int i = 0; i < data.length; i++) { Neighbor[] n1 = coverTree.knn(data[i], 10); Neighbor[] n2 = naive.knn(data[i], 10); assertEquals(n1.length, n2.length); for (int j = 0; j < n1.length; j++) { assertEquals(n1[j].index, n2[j].index); assertEquals(n1[j].value, n2[j].value); assertEquals(n1[j].distance, n2[j].distance, 1E-7); } } } /** * Test of knn method, of class CoverTree. The data has only one elements */ @Test public void testKnn1() { System.out.println("knn1"); double[][] data1 = {data[0]}; EuclideanDistance d = new EuclideanDistance(); coverTree = new CoverTree<>(data1, d); Neighbor[] n1 = coverTree.knn(data[1], 1); assertEquals(1, n1.length); assertEquals(0, n1[0].index); assertEquals(data[0], n1[0].value); assertEquals(d.d(data[0], data[1]), n1[0].distance, 1E-7); } /** * Test of range method, of class CoverTree. */ @Test public void testRange() { System.out.println("range"); List<Neighbor<double[], double[]>> n1 = new ArrayList<>(); List<Neighbor<double[], double[]>> n2 = new ArrayList<>(); for (int i = 0; i < data.length; i++) { coverTree.range(data[i], 0.5, n1); naive.range(data[i], 0.5, n2); Collections.sort(n1); Collections.sort(n2); assertEquals(n1.size(), n2.size()); for (int j = 0; j < n1.size(); j++) { assertEquals(n1.get(j).index, n2.get(j).index); assertEquals(n1.get(j).value, n2.get(j).value); assertEquals(n1.get(j).distance, n2.get(j).distance, 1E-7); } n1.clear(); n2.clear(); } } }