[10060] | 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2013 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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| 4 | *
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| 5 | * This file is part of HeuristicLab.
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| 6 | *
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| 7 | * HeuristicLab is free software: you can redistribute it and/or modify
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| 8 | * it under the terms of the GNU General Public License as published by
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| 9 | * the Free Software Foundation, either version 3 of the License, or
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| 10 | * (at your option) any later version.
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| 11 | *
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| 12 | * HeuristicLab is distributed in the hope that it will be useful,
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| 13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 15 | * GNU General Public License for more details.
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| 16 | *
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| 17 | * You should have received a copy of the GNU General Public License
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| 18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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| 19 | */
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| 20 | #endregion
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| 21 |
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| 22 | using System;
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| 23 | using HeuristicLab.Analysis.AlgorithmBehavior.Analyzers;
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| 24 | using Microsoft.VisualStudio.TestTools.UnitTesting;
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| 25 |
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| 26 | namespace AlgorithmBehaviorUnitTests {
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| 27 | [TestClass]
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| 28 | public class DistanceMatrixToPointsTest {
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| 29 | [TestMethod]
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| 30 | public void TestDistanceMatrixConversion() {
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[10078] | 31 | int nrOfPoints = 4;
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[10060] | 32 | int dim = 2;
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| 33 | double[][] orgPoints = new double[nrOfPoints][];
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| 34 | double[][] orgDm = new double[nrOfPoints][];
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| 35 | double[][] newDm = new double[nrOfPoints][];
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| 36 | double[][] newPoints = null;
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| 37 |
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| 38 |
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| 39 | AllocArray(orgPoints, dim);
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| 40 | AllocArray(orgDm, nrOfPoints);
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| 41 | AllocArray(newDm, nrOfPoints);
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| 42 | SamplePoints(orgPoints);
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| 43 | CalculateDistanceMatrix(orgDm, orgPoints);
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| 44 |
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| 45 | newPoints = DistanceMatrixToPoints.ConvertDistanceMatrixToPoints(orgDm);
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[10078] | 46 |
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[10060] | 47 | CalculateDistanceMatrix(newDm, newPoints);
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| 48 | //TODO
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| 49 |
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| 50 | }
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| 51 |
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| 52 | private static void SamplePoints(double[][] points) {
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| 53 | Random rand = new Random();
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| 54 |
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| 55 | for (int i = 0; i < points.Length; i++) {
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| 56 | for (int j = 0; j < points[i].Length; j++) {
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| 57 | points[i][j] = rand.NextDouble() * 100;
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| 58 | }
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| 59 | }
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| 60 | }
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| 61 |
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| 62 | private static void CalculateDistanceMatrix(double[][] dm, double[][] points) {
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| 63 | for (int i = 0; i < points.Length; i++) {
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| 64 | for (int j = 0; j < points.Length; j++) {
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| 65 | dm[i][j] = CalcEuclideanDistance(points[i], points[j]);
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| 66 | }
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| 67 | }
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| 68 | }
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| 69 |
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| 70 | private static double CalcEuclideanDistance(double[] p1, double[] p2) {
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[10078] | 71 | double result = 0.0;
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| 72 | for (int i = 0; i < p1.Length; i++) {
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| 73 | result += Math.Pow(p1[i] - p2[i], 2);
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| 74 | }
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| 75 | return Math.Sqrt(result);
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[10060] | 76 | }
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| 77 |
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| 78 | private static void AllocArray(double[][] arr, int size) {
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| 79 | for (int i = 0; i < arr.Length; i++) {
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| 80 | arr[i] = new double[size];
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| 81 | }
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| 82 | }
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| 83 | }
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| 84 | }
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