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source: stable/HeuristicLab.Tests/HeuristicLab.Encodings.SymbolicExpressionTreeEncoding-3.4/SubroutineDuplicaterTest.cs @ 15231

Last change on this file since 15231 was 14186, checked in by swagner, 8 years ago

#2526: Updated year of copyrights in license headers

File size: 2.6 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2016 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 System;
23using System.Collections.Generic;
24using System.Linq;
25using HeuristicLab.Random;
26using Microsoft.VisualStudio.TestTools.UnitTesting;
27
28namespace HeuristicLab.Encodings.SymbolicExpressionTreeEncoding.Tests {
29  [TestClass]
30  public class SubroutineDuplicaterTest {
31    private const int POPULATION_SIZE = 1000;
32    private const int MAX_TREE_LENGTH = 100;
33    private const int MAX_TREE_DEPTH = 10;
34
35    [TestMethod]
36    [TestCategory("Encodings.SymbolicExpressionTree")]
37    [TestProperty("Time", "long")]
38    public void SubroutineDuplicaterDistributionsTest() {
39      var trees = new List<ISymbolicExpressionTree>();
40      var grammar = Grammars.CreateArithmeticAndAdfGrammar();
41      var random = new MersenneTwister();
42      for (int i = 0; i < POPULATION_SIZE; i++) {
43        ISymbolicExpressionTree tree = null;
44        do {
45          tree = ProbabilisticTreeCreator.Create(random, grammar, MAX_TREE_LENGTH, MAX_TREE_DEPTH);
46          for (int j = random.Next(3); j < 3; j++)
47            SubroutineCreater.CreateSubroutine(random, tree, 100, 10, 3, 3);
48        } while (!HasOneAdf(tree));
49        var success = SubroutineDuplicater.DuplicateSubroutine(random, tree, 3, 3);
50        Assert.IsTrue(success);
51        Util.IsValid(tree);
52        trees.Add(tree);
53      }
54      Console.WriteLine("SubroutineDuplicater: " + Environment.NewLine +
55        Util.GetSizeDistributionString(trees, 105, 5) + Environment.NewLine +
56        Util.GetFunctionDistributionString(trees) + Environment.NewLine +
57        Util.GetNumberOfSubtreesDistributionString(trees) + Environment.NewLine +
58        Util.GetTerminalDistributionString(trees) + Environment.NewLine
59        );
60    }
61
62    private bool HasOneAdf(ISymbolicExpressionTree tree) {
63      return tree.Root.Subtrees.Count() == 2;
64    }
65  }
66}
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