source: branches/DataAnalysis SolutionEnsembles/HeuristicLab.Encodings.SymbolicExpressionTreeEncoding/3.4/Tests/ArgumentCreaterTest.cs @ 5991

#region License Information
/* HeuristicLab
 * Copyright (C) 2002-2011 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
 *
 * This file is part of HeuristicLab.
 *
 * HeuristicLab is free software: you can redistribute it and/or modify
 * it under the terms of the GNU General Public License as published by
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 *
 * HeuristicLab is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 * GNU General Public License for more details.
 *
 * You should have received a copy of the GNU General Public License
 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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#endregion

using System;
using System.Collections.Generic;
using System.Linq;
using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
using HeuristicLab.Random;
using Microsoft.VisualStudio.TestTools.UnitTesting;

namespace HeuristicLab.Encodings.SymbolicExpressionTreeEncoding_3._4.Tests {
  [TestClass]
  public class ArgumentCreaterTest {
    private const int POPULATION_SIZE = 1000;
    private const int MAX_TREE_LENGTH = 100;
    private const int MAX_TREE_DEPTH = 10;
    private TestContext testContextInstance;

    /// <summary>
    ///Gets or sets the test context which provides
    ///information about and functionality for the current test run.
    ///</summary>
    public TestContext TestContext {
      get {
        return testContextInstance;
      }
      set {
        testContextInstance = value;
      }
    }

    [TestMethod()]
    public void ArgumentCreaterDistributionsTest() {
      var trees = new List<ISymbolicExpressionTree>();
      var grammar = Grammars.CreateArithmeticAndAdfGrammar();
      var random = new MersenneTwister(31415);
      int failedOps = 0;
      for (int i = 0; i < POPULATION_SIZE; i++) {
        ISymbolicExpressionTree tree;
        do {
          tree = ProbabilisticTreeCreator.Create(random, grammar, MAX_TREE_LENGTH, MAX_TREE_DEPTH);
          SubroutineCreater.CreateSubroutine(random, tree, MAX_TREE_LENGTH, MAX_TREE_DEPTH, 3, 3);
        } while (!TreeHasAdfWithParameter(tree, 3));
        var success = ArgumentCreater.CreateNewArgument(random, tree, 60000, 100, 3, 3);
        if (!success) failedOps++;
        Util.IsValid(tree);
        trees.Add(tree);
      }
      // difficult to make sure that create argument operations succeed because trees are macro-expanded can potentially become very big 
      // => just test if only a small proportion fails
      Assert.IsTrue(failedOps < POPULATION_SIZE * 0.01); // only 1% may fail
      Console.WriteLine("ArgumentCreator: " + Environment.NewLine +
        "Failed operations: " + failedOps * 100.0 / POPULATION_SIZE + " %" + Environment.NewLine +
        Util.GetSizeDistributionString(trees, 200, 20) + Environment.NewLine +
        Util.GetFunctionDistributionString(trees) + Environment.NewLine +
        Util.GetNumberOfSubtreesDistributionString(trees) + Environment.NewLine +
        Util.GetTerminalDistributionString(trees) + Environment.NewLine
        );
    }

    private bool TreeHasAdfWithParameter(ISymbolicExpressionTree tree, int maxParameters) {
      if (tree.Root.Subtrees.Count() != 2) return false;
      var firstAdf = tree.Root.GetSubtree(1);
      return firstAdf.Grammar.GetAllowedChildSymbols(firstAdf.Symbol, 0).Where(x => x is Argument).Count() < maxParameters;
    }
  }
}