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source: trunk/sources/HeuristicLab.Functions/Or.cs @ 155

Last change on this file since 155 was 155, checked in by gkronber, 16 years ago

merged FunctionsAndStructIdRefactoring-branch (r142, r143, r144, r145, r146, r147, r148, r149, r152, r153) back into the trunk (ticket #112)

File size: 2.1 KB
Line 
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 System;
23using System.Collections.Generic;
24using System.Linq;
25using System.Text;
26using HeuristicLab.Constraints;
27using HeuristicLab.DataAnalysis;
28
29namespace HeuristicLab.Functions {
30  public class Or : FunctionBase {
31    public override string Description {
32      get {
33        return @"Logical OR operation. Only defined for sub-tree-results 0.0 and 1.0.
34Special form, evaluation stops at first sub-tree that evaluates to 1.0 (true).";
35      }
36    }
37
38    public Or()
39      : base() {
40      AddConstraint(new NumberOfSubOperatorsConstraint(2, 3));
41    }
42
43    public override double Evaluate(Dataset dataset, int sampleIndex, IFunctionTree tree) {
44      foreach(IFunctionTree subTree in tree.SubTrees) {
45        double result = Math.Round(subTree.Evaluate(dataset, sampleIndex));
46        if(result == 1.0) return 1.0; // sub-tree evaluates to 1.0 (true) return 1.0
47        else if(result != 0.0) return double.NaN;
48      }
49      // all sub-trees evaluated to 0.0 (false) return false
50      return 0.0;
51    }
52
53    public override double Apply(Dataset dataset, int sampleIndex, double[] args) {
54      throw new NotImplementedException();
55    }
56    public override void Accept(IFunctionVisitor visitor) {
57      visitor.Visit(this);
58    }
59  }
60}
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