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source: branches/2925_AutoDiffForDynamicalModels/HeuristicLab.Tests/HeuristicLab.Encodings.SymbolicExpressionTreeEncoding-3.4/SubroutineDuplicaterTest.cs @ 17246

Last change on this file since 17246 was 17246, checked in by gkronber, 5 years ago

#2925: merged r17037:17242 from trunk to branch

File size: 2.6 KB
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[3360]1#region License Information
2/* HeuristicLab
[17246]3 * Copyright (C) Heuristic and Evolutionary Algorithms Laboratory (HEAL)
[3360]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;
[5686]23using System.Collections.Generic;
[5549]24using System.Linq;
[4068]25using HeuristicLab.Random;
26using Microsoft.VisualStudio.TestTools.UnitTesting;
[3360]27
[9764]28namespace HeuristicLab.Encodings.SymbolicExpressionTreeEncoding.Tests {
[3360]29  [TestClass]
30  public class SubroutineDuplicaterTest {
31    private const int POPULATION_SIZE = 1000;
[5549]32    private const int MAX_TREE_LENGTH = 100;
33    private const int MAX_TREE_DEPTH = 10;
[3360]34
[9770]35    [TestMethod]
36    [TestCategory("Encodings.SymbolicExpressionTree")]
37    [TestProperty("Time", "long")]
[3360]38    public void SubroutineDuplicaterDistributionsTest() {
[5549]39      var trees = new List<ISymbolicExpressionTree>();
[3360]40      var grammar = Grammars.CreateArithmeticAndAdfGrammar();
41      var random = new MersenneTwister();
42      for (int i = 0; i < POPULATION_SIZE; i++) {
[5549]43        ISymbolicExpressionTree tree = null;
[5367]44        do {
[5686]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);
[5367]48        } while (!HasOneAdf(tree));
[5549]49        var success = SubroutineDuplicater.DuplicateSubroutine(random, tree, 3, 3);
[5367]50        Assert.IsTrue(success);
[3360]51        Util.IsValid(tree);
52        trees.Add(tree);
53      }
[5367]54      Console.WriteLine("SubroutineDuplicater: " + Environment.NewLine +
[3360]55        Util.GetSizeDistributionString(trees, 105, 5) + Environment.NewLine +
56        Util.GetFunctionDistributionString(trees) + Environment.NewLine +
[5733]57        Util.GetNumberOfSubtreesDistributionString(trees) + Environment.NewLine +
[3360]58        Util.GetTerminalDistributionString(trees) + Environment.NewLine
59        );
60    }
[5367]61
[5549]62    private bool HasOneAdf(ISymbolicExpressionTree tree) {
[5733]63      return tree.Root.Subtrees.Count() == 2;
[5367]64    }
[3360]65  }
66}
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