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source: trunk/sources/HeuristicLab.GP.Tests/HL3TreeEvaluatorTest.cs @ 3581

Last change on this file since 3581 was 2447, checked in by gkronber, 15 years ago

Added until test project for HeuristicLab.GP plugins. #791 (Tests for GP operators and structure identification evaluators)
File size: 10.0 KB
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[2447]1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2008 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4 *
5 * This file is part of HeuristicLab.
6 *
7 * HeuristicLab is free software: you can redistribute it and/or modify
8 * it under the terms of the GNU General Public License as published by
9 * the Free Software Foundation, either version 3 of the License, or
10 * (at your option) any later version.
11 *
12 * HeuristicLab is distributed in the hope that it will be useful,
13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
15 * GNU General Public License for more details.
16 *
17 * You should have received a copy of the GNU General Public License
18 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
19 */
20#endregion
21
22using HeuristicLab.GP.StructureIdentification;
23using Microsoft.VisualStudio.TestTools.UnitTesting;
24using HeuristicLab.GP.Interfaces;
25using System.IO;
26using HeuristicLab.DataAnalysis;
27using System;
28using HeuristicLab.Random;
29using System.Collections.Generic;
30using HeuristicLab.GP.Operators;
31using System.Diagnostics;
32namespace HeuristicLab.GP.Test {
33
34
35  /// <summary>
36  ///This is a test class for HL3TreeEvaluatorTest and is intended
37  ///to contain all HL3TreeEvaluatorTest Unit Tests
38  ///</summary>
39  [TestClass()]
40  public class HL3TreeEvaluatorTest {
41    private const int N = 1000;
42    private const int Rows = 1000;
43    private const int Columns = 50;
44    private static IFunctionTree[] randomTrees;
45    private static Dataset dataset;
46    private static MersenneTwister twister;
47    private TestContext testContextInstance;
48
49    /// <summary>
50    ///Gets or sets the test context which provides
51    ///information about and functionality for the current test run.
52    ///</summary>
53    public TestContext TestContext {
54      get {
55        return testContextInstance;
56      }
57      set {
58        testContextInstance = value;
59      }
60    }
61
62    [ClassInitialize()]
63    public static void CreateRandomTrees(TestContext testContext) {
64      twister = new MersenneTwister();
65      dataset = Util.CreateRandomDataset(twister, Rows, Columns);
66      randomTrees = Util.CreateRandomTrees(twister, dataset, N, 1, 100);
67    }
68
69
70    [TestMethod()]
71    public void PerformanceTest() {
72      double[] estimation = new double[Rows];
73      foreach (IFunctionTree tree in randomTrees) {
74        Util.InitTree(tree, twister, new List<string>(dataset.VariableNames));
75      }
76      HL3TreeEvaluator hl3TreeEvaluator = new HL3TreeEvaluator();
77      Util.EvaluateTrees(randomTrees, hl3TreeEvaluator, dataset, 10);
78    }
79
80
81    /// <summary>
82    ///A test for Evaluate
83    ///</summary>
84    [TestMethod()]
85    [DeploymentItem("HeuristicLab.GP.StructureIdentification-3.3.dll")]
86    public void HL3TreeEvaluatorEvaluateTest() {
87
88      Dataset ds = new Dataset(new double[,] {
89        { 1.0, 1.0, 1.0 },
90        { 2.0, 2.0, 2.0 },
91        { 3.0, 1.0, 2.0 }
92      });
93
94      ds.SetVariableName(0, "y");
95      ds.SetVariableName(1, "a");
96      ds.SetVariableName(2, "b");
97
98      HL3TreeEvaluator evaluator = new HL3TreeEvaluator();
99
100      // constants
101      Evaluate(evaluator, ds, "(+ 1,5 3,5)", 0, 5.0);
102
103      // variables
104      Evaluate(evaluator, ds, "(variable 2,0 a 0)", 0, 2.0);
105      Evaluate(evaluator, ds, "(variable 2,0 a 0)", 1, 4.0);
106      Evaluate(evaluator, ds, "(variable 2,0 a -1)", 1, 2.0);
107      Evaluate(evaluator, ds, "(variable 2,0 a -2)", 2, 2.0);
108
109      // differentials
110      Evaluate(evaluator, ds, "(differential 2,0 a 0)", 1, 2.0);
111      Evaluate(evaluator, ds, "(differential 2,0 a 0)", 2, -2.0);
112      Evaluate(evaluator, ds, "(differential 2,0 a -1)", 2, 2.0);
113      Evaluate(evaluator, ds, "(differential 2,0 a -2)", 3, 2.0);
114
115      // addition
116      Evaluate(evaluator, ds, "(+ (variable 2,0 a 0))", 1, 4.0);
117      Evaluate(evaluator, ds, "(+ (variable 2,0 a 0) (variable 3,0 b 0))", 0, 5.0);
118      Evaluate(evaluator, ds, "(+ (variable 2,0 a 0) (variable 3,0 b 0))", 1, 10.0);
119      Evaluate(evaluator, ds, "(+ (variable 2,0 a 0) (variable 3,0 b 0))", 2, 8.0);
120      Evaluate(evaluator, ds, "(+ 8,0 2,0 2,0)", 0, 12.0);
121
122      // subtraction
123      Evaluate(evaluator, ds, "(- (variable 2,0 a 0))", 1, -4.0);
124      Evaluate(evaluator, ds, "(- (variable 2,0 a 0) (variable 3,0 b 0))", 0, -1.0);
125      Evaluate(evaluator, ds, "(- (variable 2,0 a 0) (variable 3,0 b 0))", 1, -2.0);
126      Evaluate(evaluator, ds, "(- (variable 2,0 a 0) (variable 3,0 b 0))", 2, -4.0);
127      Evaluate(evaluator, ds, "(- 8,0 2,0 2,0)", 0, 4.0);
128
129      // multiplication
130      Evaluate(evaluator, ds, "(* (variable 2,0 a 0))", 0, 2.0);
131      Evaluate(evaluator, ds, "(* (variable 2,0 a 0) (variable 3,0 b 0))", 0, 6.0);
132      Evaluate(evaluator, ds, "(* (variable 2,0 a 0) (variable 3,0 b 0))", 1, 24.0);
133      Evaluate(evaluator, ds, "(* (variable 2,0 a 0) (variable 3,0 b 0))", 2, 12.0);
134      Evaluate(evaluator, ds, "(* 8,0 2,0 2,0)", 0, 32.0);
135
136      // division
137      Evaluate(evaluator, ds, "(/ (variable 2,0 a 0))", 1, 1.0 / 4.0);
138      Evaluate(evaluator, ds, "(/ (variable 2,0 a 0) 2,0)", 0, 1.0);
139      Evaluate(evaluator, ds, "(/ (variable 2,0 a 0) 2,0)", 1, 2.0);
140      Evaluate(evaluator, ds, "(/ (variable 3,0 b 0) 2,0)", 2, 3.0);
141      Evaluate(evaluator, ds, "(/ 8,0 2,0 2,0)", 0, 2.0);
142
143      // boolean values semantic: false = x <= 0 , true x > 0
144      // equ
145      Evaluate(evaluator, ds, "(equ (variable 2,0 a 0) 2,0)", 0, 1.0);
146      Evaluate(evaluator, ds, "(equ (variable 2,0 a 0) 1,0)", 0, -1.0);
147      Evaluate(evaluator, ds, "(equ (sqrt -1,0) (log -1,0))", 0, -1.0); // (equ nan nan) should be false
148
149
150      // gt
151      Evaluate(evaluator, ds, "(> (variable 2,0 a 0) 2,0)", 0, -1.0);
152      Evaluate(evaluator, ds, "(> 2,0 (variable 2,0 a 0))", 0, -1.0);
153      Evaluate(evaluator, ds, "(> (variable 2,0 a 0) 1,9)", 0, 1.0);
154      Evaluate(evaluator, ds, "(> 1,9 (variable 2,0 a 0))", 0, -1.0);
155      Evaluate(evaluator, ds, "(> (sqrt -1,0) (log -1,0))", 0, -1.0); // (> nan nan) should be false
156
157      // lt
158      Evaluate(evaluator, ds, "(< (variable 2,0 a 0) 2,0)", 0, -1.0);
159      Evaluate(evaluator, ds, "(< 2,0 (variable 2,0 a 0))", 0, -1.0);
160      Evaluate(evaluator, ds, "(< (variable 2,0 a 0) 1,9)", 0, -1.0);
161      Evaluate(evaluator, ds, "(< 1,9 (variable 2,0 a 0))", 0, 1.0);
162      Evaluate(evaluator, ds, "(< (sqrt -1,0) (log -1,0))", 0, -1.0); // (< nan nan) should be false
163
164      // If
165      Evaluate(evaluator, ds, "(if -10 2,0 3,0)", 0, 3.0);
166      Evaluate(evaluator, ds, "(if -1,0 2,0 3,0)", 0, 3.0);
167      Evaluate(evaluator, ds, "(if 0,0 2,0 3,0)", 0, 3.0);
168      Evaluate(evaluator, ds, "(if 1,0 2,0 3,0)", 0, 2.0);
169      Evaluate(evaluator, ds, "(if 10 2,0 3,0)", 0, 2.0);
170      Evaluate(evaluator, ds, "(if (sqrt -1,0) 2,0 3,0)", 0, 3.0); // if(nan) should return the else branch
171
172      // signum
173      Evaluate(evaluator, ds, "(sign -1,0)", 0, -1.0);
174      Evaluate(evaluator, ds, "(sign -2,0)", 0, -1.0);
175      Evaluate(evaluator, ds, "(sign 1,0)", 0, 1.0);
176      Evaluate(evaluator, ds, "(sign 2,0)", 0, 1.0);
177      Evaluate(evaluator, ds, "(sign 0,0)", 0, 0.0);
178
179      // NOT
180      Evaluate(evaluator, ds, "(not -1,0)", 0, 1.0);
181      Evaluate(evaluator, ds, "(not -2,0)", 0, 2.0);
182      Evaluate(evaluator, ds, "(not 1,0)", 0, -1.0);
183      Evaluate(evaluator, ds, "(not 2,0)", 0, -2.0);
184      Evaluate(evaluator, ds, "(not 0,0)", 0, 0.0);
185
186      // AND
187      Evaluate(evaluator, ds, "(and -1,0 -2,0)", 0, -1.0);
188      Evaluate(evaluator, ds, "(and -1,0 2,0)", 0, -1.0);
189      Evaluate(evaluator, ds, "(and 1,0 -2,0)", 0, -1.0);
190      Evaluate(evaluator, ds, "(and 1,0 0,0)", 0, -1.0);
191      Evaluate(evaluator, ds, "(and 0,0 0,0)", 0, -1.0);
192      Evaluate(evaluator, ds, "(and 1,0 2,0)", 0, 1.0);
193      Evaluate(evaluator, ds, "(and 1,0 2,0 3,0)", 0, 1.0);
194      Evaluate(evaluator, ds, "(and 1,0 -2,0 3,0)", 0, -1.0);
195
196      // OR
197      Evaluate(evaluator, ds, "(or -1,0 -2,0)", 0, -1.0);
198      Evaluate(evaluator, ds, "(or -1,0 2,0)", 0, 1.0);
199      Evaluate(evaluator, ds, "(or 1,0 -2,0)", 0, 1.0);
200      Evaluate(evaluator, ds, "(or 1,0 2,0)", 0, 1.0);
201      Evaluate(evaluator, ds, "(or 0,0 0,0)", 0, -1.0);
202      Evaluate(evaluator, ds, "(or -1,0 -2,0 -3,0)", 0, -1.0);
203      Evaluate(evaluator, ds, "(or -1,0 -2,0 3,0)", 0, 1.0);
204
205      // XOR
206      Evaluate(evaluator, ds, "(xor -1,0 -2,0)", 0, -1.0);
207      Evaluate(evaluator, ds, "(xor -1,0 2,0)", 0, 1.0);
208      Evaluate(evaluator, ds, "(xor 1,0 -2,0)", 0, 1.0);
209      Evaluate(evaluator, ds, "(xor 1,0 2,0)", 0, -1.0);
210      Evaluate(evaluator, ds, "(xor 0,0 0,0)", 0, -1.0);
211
212      // sin, cos, tan
213      Evaluate(evaluator, ds, "(sin " + Math.PI + ")", 0, 0.0);
214      Evaluate(evaluator, ds, "(sin 0,0)", 0, 0.0);
215      Evaluate(evaluator, ds, "(cos " + Math.PI + ")", 0, -1.0);
216      Evaluate(evaluator, ds, "(cos 0,0)", 0, 1.0);
217      Evaluate(evaluator, ds, "(tan " + Math.PI + ")", 0, Math.Tan(Math.PI));
218      Evaluate(evaluator, ds, "(tan 0,0)", 0, Math.Tan(Math.PI));
219
220
221      // expt
222      Evaluate(evaluator, ds, "(expt 2,0 2,0)", 0, 4.0);
223      Evaluate(evaluator, ds, "(expt 2,0 3,0)", 0, 8.0);
224      Evaluate(evaluator, ds, "(expt 3,0 2,0)", 0, 9.0);
225
226      // exp, log
227      Evaluate(evaluator, ds, "(log (exp 7,0))", 0, Math.Log(Math.Exp(7)));
228      Evaluate(evaluator, ds, "(exp (log 7,0))", 0, Math.Exp(Math.Log(7)));
229      Evaluate(evaluator, ds, "(log -3,0)", 0, Math.Log(-3));
230
231      // sqrt
232      Evaluate(evaluator, ds, "(sqrt 4,0)", 0, 2.0);
233      Evaluate(evaluator, ds, "(sqrt (sqrt 16,0))", 0, 2.0);
234
235    }
236
237    private void Evaluate(HL3TreeEvaluator evaluator, Dataset ds, string expr, int index, double expected) {
238      var importer = new SymbolicExpressionImporter();
239      IFunctionTree tree = importer.Import(expr);
240
241      evaluator.PrepareForEvaluation(ds, tree);
242
243      double actual = evaluator.Evaluate(index);
244      Assert.AreEqual(expected, actual, 1.0E-12, expr);
245    }
246  }
247}
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