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source: trunk/HeuristicLab.Encodings.SymbolicExpressionTreeEncoding/3.4/Compiler/SymbolicExpressionTreeLinearCompiler.cs @ 17733

Last change on this file since 17733 was 17180, checked in by swagner, 5 years ago

#2875: Removed years in copyrights

File size: 2.0 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 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;
23
24namespace HeuristicLab.Encodings.SymbolicExpressionTreeEncoding {
25  public static class SymbolicExpressionTreeLinearCompiler {
26    public static LinearInstruction[] Compile(ISymbolicExpressionTree tree, Func<ISymbolicExpressionTreeNode, byte> opCodeMapper) {
27      var root = tree.Root.GetSubtree(0).GetSubtree(0);
28      var code = new LinearInstruction[root.GetLength()];
29      if (root.SubtreeCount > ushort.MaxValue) throw new ArgumentException("Number of subtrees is too big (>65.535)");
30      code[0] = new LinearInstruction { dynamicNode = root, nArguments = (ushort)root.SubtreeCount, opCode = opCodeMapper(root) };
31      int c = 1, i = 0;
32      foreach (var node in root.IterateNodesBreadth()) {
33        for (int j = 0; j < node.SubtreeCount; ++j) {
34          var s = node.GetSubtree(j);
35          if (s.SubtreeCount > ushort.MaxValue) throw new ArgumentException("Number of subtrees is too big (>65.535)");
36          code[c + j] = new LinearInstruction { dynamicNode = s, nArguments = (ushort)s.SubtreeCount, opCode = opCodeMapper(s) };
37        }
38        code[i].childIndex = c;
39        c += node.SubtreeCount;
40        ++i;
41      }
42      return code;
43    }
44  }
45}
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