[10347] | 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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| 4 | *
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| 5 | * This file is part of HeuristicLab.
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| 6 | *
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| 7 | * HeuristicLab is free software: you can redistribute it and/or modify
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| 8 | * it under the terms of the GNU General Public License as published by
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| 9 | * the Free Software Foundation, either version 3 of the License, or
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| 10 | * (at your option) any later version.
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| 11 | *
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| 12 | * HeuristicLab is distributed in the hope that it will be useful,
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| 13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 15 | * GNU General Public License for more details.
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| 16 | *
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| 17 | * You should have received a copy of the GNU General Public License
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| 18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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| 19 | */
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| 20 | #endregion
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| 21 |
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| 22 | using System.Collections.Generic;
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| 23 | using System.Linq;
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| 24 | using HeuristicLab.Core;
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| 25 | using HeuristicLab.EvolutionTracking;
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| 26 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 27 |
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| 28 | namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
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| 29 | [Item("Symbol graph", "A graph used to store the relationship between symbols in a population of individuals")]
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| 30 | [StorableClass]
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| 31 | public class FPGraph : DirectedGraph {
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| 32 | [Storable]
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| 33 | public Dictionary<int, List<SymbolNode>> Levels { get { return levels; } }
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| 34 | private Dictionary<int, List<SymbolNode>> levels = new Dictionary<int, List<SymbolNode>>();
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| 35 |
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| 36 | public void AddNode(SymbolNode node, int level) {
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| 37 | if (levels.ContainsKey(level)) {
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| 38 | SymbolNode match = levels[level].Find(n => n.Label.Equals(node.Label));
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| 39 | if (match == null) {
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| 40 | levels[level].Add(node);
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| 41 | }
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| 42 | } else {
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| 43 | levels[level] = new List<SymbolNode> { node };
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| 44 | }
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| 45 | base.AddVertex(node);
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| 46 | }
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| 47 |
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| 48 | public bool ContainsKey(string key, int level) {
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| 49 | return levels.ContainsKey(level) && levels[level].Select(n => n.Label).Contains(key);
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| 50 | }
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| 51 |
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| 52 | public SymbolNode GetNode(string key, int level) {
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| 53 | SymbolNode node = null;
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| 54 | if (levels.ContainsKey(level))
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| 55 | node = levels[level].Find(n => n.Label.Equals(key));
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| 56 | return node;
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| 57 | }
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| 58 |
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| 59 | void AddArc(SymbolNode source, SymbolNode target, double weight, object data = null) {
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| 60 | source.AddForwardArc(target, weight, data);
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| 61 | }
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| 62 | }
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| 63 | }
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