- Timestamp:
- 09/03/12 14:58:39 (12 years ago)
- Location:
- branches/HeuristicLab.EvolutionaryTracking/HeuristicLab.EvolutionaryTracking/3.4
- Files:
-
- 4 added
- 3 edited
Legend:
- Unmodified
- Added
- Removed
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branches/HeuristicLab.EvolutionaryTracking/HeuristicLab.EvolutionaryTracking/3.4/GenealogyGraph.cs
r8248 r8555 31 31 [Item("Genealogy graph", "Generic class for tracking the evolution of objects.")] 32 32 [StorableClass] 33 public class GenealogyGraph<T> : NamedItem, IGenealogyGraph<T> where T : class { 34 [Storable] 35 private readonly Dictionary<T, GenealogyGraphNode> _nodes; 36 private readonly Dictionary<GenealogyGraphNode, List<double>> _nodeRanks; 33 public class GenealogyGraph<T> : NamedItem, IGenealogyGraph<T> where T : GenealogyGraphNode { 34 private readonly List<T> nodes; // graph will consist of a set of nodes of type T 35 public List<T> Nodes { 36 get { return nodes; } 37 } 37 38 38 39 public GenealogyGraph() { 39 _nodes = new Dictionary<T, GenealogyGraphNode>(); 40 _nodeRanks = new Dictionary<GenealogyGraphNode, List<double>>(); 40 nodes = new List<T>(); 41 41 } 42 42 43 43 public GenealogyGraph(GenealogyGraph<T> g) { 44 _nodes = new Dictionary<T, GenealogyGraphNode>(g._nodes); 45 _nodeRanks = new Dictionary<GenealogyGraphNode, List<double>>(g._nodeRanks); 44 nodes = new List<T>(g.Nodes); 46 45 } 47 46 … … 61 60 protected GenealogyGraph(GenealogyGraph<T> original, Cloner cloner) 62 61 : base(original, cloner) { 63 _nodes = new Dictionary<T, GenealogyGraphNode>(original._nodes);62 nodes = new List<T>(); 64 63 } 65 64 66 public bool HasNode(T t) { return _nodes.ContainsKey(t); } 67 public GenealogyGraphNode GetNode(T t) { return HasNode(t) ? _nodes[t] : null; } 68 public IEnumerable<T> Keys { get { return _nodes.Keys; } } 69 public IEnumerable<GenealogyGraphNode> Values { get { return _nodes.Values; } } 70 public bool IsEmpty { get { return !_nodes.Any(); } } 71 public bool Any(Func<KeyValuePair<T, GenealogyGraphNode>, bool> predicate) { return _nodes.Any(predicate); } 72 public void Clear() { _nodes.Clear(); } 65 public virtual bool HasNode(T t) { 66 return nodes.Contains(t); 67 } 68 69 public virtual GenealogyGraphNode GetNode(T t) { 70 var node = Nodes.First(x => x == t); 71 return node; 72 } 73 74 public virtual bool IsEmpty { 75 get { return !nodes.Any(); } 76 } 77 78 public virtual bool Any(Func<T, bool> predicate) { 79 return nodes.Any(predicate); 80 } 81 82 public virtual void Clear() { 83 nodes.Clear(); 84 } 73 85 74 86 /// <summary> 75 87 /// Adds a node representing an individual 76 88 /// </summary> 77 /// <param name="tree">The data this node is supposed to represent in the graph</param> 78 public virtual void AddNode(T tree) { 79 if (HasNode(tree)) return; 80 _nodes[tree] = new GenealogyGraphNode(tree); 81 } 82 83 /// <summary> 84 /// more of a low level method to minimize memory usage when creating and returning subgraphs 85 /// </summary> 86 /// <param name="node">The node to be added</param> 87 public virtual void AddNode(GenealogyGraphNode node) { 88 var t = (T)node.Data; 89 if (HasNode(t)) 90 return; 91 _nodes[t] = node; 89 /// <param name="node">The node to add</param> 90 public virtual void AddNode(T node) { 91 Nodes.Add(node); 92 92 } 93 93 … … 96 96 /// </summary> 97 97 /// <param name="t">The graph node</param> 98 public void RemoveNode(T t) { 99 if (!_nodes.ContainsKey(t)) return; 100 var node = _nodes[t]; 101 if (node.InEdges != null) { 102 foreach (var e in node.InEdges.Where(e => e.Target.OutEdges != null)) { 103 e.Target.OutEdges.RemoveAll(arc => arc.Target == node); 104 if (e.Target.OutEdges.Count == 0) 105 e.Target.OutEdges = null; // set to null to be a little more memory efficient 106 } 107 node.InEdges = null; 108 } 109 if (node.OutEdges != null) { 110 foreach (var e in node.OutEdges.Where(e => e.Target.InEdges != null)) { 111 e.Target.InEdges.RemoveAll(arc => arc.Target == node); 112 if (e.Target.InEdges.Count == 0) 113 e.Target.InEdges = null; // set to null to be a little more memory efficient 114 } 115 node.OutEdges = null; 116 } 117 _nodes.Remove(t); 98 public virtual void RemoveNode(T t) { 99 Nodes.Remove(t); 118 100 } 119 101 120 102 public double AverageDegree { 121 get { return Values.Average(x => x.Degree); }103 get { return Nodes.Average(x => x.Degree); } 122 104 } 123 105 … … 127 109 /// <param name="obj1"></param> 128 110 /// <param name="obj2"></param> 129 public void AddArc(T obj1, T obj2, object data1 = null, object data2 = null) { 130 GenealogyGraphNode src, dest; 131 if (!HasNode(obj1)) { 132 src = new GenealogyGraphNode(obj1); 133 _nodes[obj1] = src; 134 } else { 135 src = _nodes[obj1]; 136 } 137 if (!HasNode(obj2)) { 138 dest = new GenealogyGraphNode(obj2); 139 _nodes[obj2] = dest; 140 } else { 141 dest = _nodes[obj2]; 142 } 143 // add forward and reverse arcs 144 src.AddForwardArc(dest, data1); 145 dest.AddReverseArc(src, data2); 111 public virtual void AddArc(T srcNode, T destNode, object data1 = null, object data2 = null) { 112 if (srcNode == null || destNode == null) return; 113 srcNode.AddForwardArc(destNode, data1); 114 destNode.AddReverseArc(srcNode, data2); 146 115 } 147 116 } 148 149 public class GenealogyGraphNode {150 public string Id { get; private set; }151 public string Label { get; set; }152 public List<GenealogyGraphArc> InEdges { get; set; }153 public List<GenealogyGraphArc> OutEdges { get; set; }154 private object _data;155 public object Data {156 get { return _data; }157 set {158 if (value == null)159 throw new ArgumentException("Node data cannot be null.");160 else {161 _data = value; // data must be of type T162 }163 }164 }165 166 public int Degree { get { return (InEdges == null ? 0 : InEdges.Count) + (OutEdges == null ? 0 : OutEdges.Count); } }167 168 public GenealogyGraphNode(object data) {169 if (data == null) {170 throw new ArgumentException("Node data cannot be null");171 }172 Id = Guid.NewGuid().ToString();173 Data = data;174 }175 176 public GenealogyGraphNode(GenealogyGraphNode node) {177 Id = Guid.NewGuid().ToString();178 Label = node.Label;179 Data = node.Data;180 InEdges = new List<GenealogyGraphArc>(node.InEdges);181 OutEdges = new List<GenealogyGraphArc>(node.OutEdges);182 }183 184 /// <summary>185 /// Performs an upward-breath-traversal of the genealogy graph using the nodes InEdges186 /// </summary>187 /// <returns>All the ancestors of the current node</returns>188 public IEnumerable<GenealogyGraphNode> Ancestors() {189 // for performance, we use a hashset for lookup and a list for iteration190 var nodes = new HashSet<GenealogyGraphNode> { this };191 var list = new List<GenealogyGraphNode> { this };192 int i = 0;193 while (i != list.Count) {194 if (list[i].InEdges != null) {195 foreach (var e in list[i].InEdges) {196 if (nodes.Contains(e.Target)) continue;197 nodes.Add(e.Target);198 list.Add(e.Target);199 }200 }201 ++i;202 }203 return list;204 }205 206 /// <summary>207 /// Performs a downward-breath-traversal of the genealogy graph using the nodes OutEdges208 /// </summary>209 /// <returns>All the descendants of the current node</returns>210 public IEnumerable<GenealogyGraphNode> Descendants() {211 var nodes = new HashSet<GenealogyGraphNode> { this };212 var list = new List<GenealogyGraphNode> { this };213 int i = 0;214 while (i != list.Count) {215 if (list[i].OutEdges != null) {216 foreach (var e in list[i].OutEdges) {217 if (nodes.Contains(e.Target)) continue;218 nodes.Add(e.Target);219 list.Add(e.Target);220 }221 }222 ++i;223 }224 return list;225 }226 227 // this method can be used to add arcs towards targets that are not visible in the graph228 // (they do not appear in the _nodes Dictionary). It is the programmers responsibility to229 // enforce the correct and desired behavior.230 public void AddForwardArc(GenealogyGraphNode target, object data = null) {231 var e = new GenealogyGraphArc { Target = target, Data = data };232 if (OutEdges == null) OutEdges = new List<GenealogyGraphArc> { e };233 else OutEdges.Add(e);234 }235 236 public void AddReverseArc(GenealogyGraphNode target, object data = null) {237 var e = new GenealogyGraphArc { Target = target, Data = data };238 if (InEdges == null) InEdges = new List<GenealogyGraphArc> { e };239 else InEdges.Add(e);240 }241 }242 243 /// <summary>244 /// An arc is an edge along with an orientation245 /// </summary>246 public class GenealogyGraphArc {247 public GenealogyGraphNode Target { get; set; }248 // these two fields are not used, but they might be useful later249 public string Label { get; set; } // might be useful later250 public double Weight { get; set; } // might be useful later251 // object used to embed information about node interactions into the arc that connects them (therefore a graph arc will encode a relationship/interaction)252 public object Data { get; set; }253 }254 117 } -
branches/HeuristicLab.EvolutionaryTracking/HeuristicLab.EvolutionaryTracking/3.4/Interfaces/IGenealogyGraph.cs
r7799 r8555 21 21 22 22 using System; 23 using System.Collections.Generic;24 23 using HeuristicLab.Core; 25 24 26 25 namespace HeuristicLab.EvolutionaryTracking { 27 26 public interface IGenealogyGraph<T> : INamedItem where T : class { 28 // node/vertex operations29 27 bool HasNode(T t); // graph contains specific node? 30 bool Any(Func< KeyValuePair<T, GenealogyGraphNode>, bool> predicate); // graph contains any nodes matching the given predicate?28 bool Any(Func<T, bool> predicate); // graph contains any nodes matching the given predicate? 31 29 void Clear(); // clear graph 32 void AddNode(T t);30 void AddNode(T nodeData); 33 31 void RemoveNode(T t); // remove node if contained in the graph 34 GenealogyGraphNode GetNode(T t); // return node corresponding to object t, or null 35 // arc operation 32 GenealogyGraphNode GetNode(T t); // return node corresponding to object nodeData, or null 36 33 void AddArc(T source, T target, object sourceData = null, object targetData = null); 37 //void AddArcs(T[] a, T b);38 34 } 39 35 } -
branches/HeuristicLab.EvolutionaryTracking/HeuristicLab.EvolutionaryTracking/3.4/SymbolicExpressionTreeGenealogyGraph.cs
r8248 r8555 1 using System.Collections.Generic; 1 #region License Information 2 /* HeuristicLab 3 * Copyright (C) 2002-2012 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 22 using System.Collections.Generic; 2 23 using System.Linq; 3 24 using HeuristicLab.Common; … … 10 31 [Item("SymbolicExpressionTreeGenealogyGraph", "A genealogy graph for symbolic expression trees")] 11 32 [StorableClass] 12 public class SymbolicExpressionTreeGenealogyGraph : GenealogyGraph<ISymbolicExpressionTree> { 33 public class SymbolicExpressionTreeGenealogyGraph : GenealogyGraph<SymbolicExpressionGenealogyGraphNode>, ISymbolicExpressionTreeGenealogyGraph { 34 [Storable] 35 private readonly Dictionary<ISymbolicExpressionTree, List<SymbolicExpressionGenealogyGraphNode>> nodeMap = 36 new Dictionary<ISymbolicExpressionTree, List<SymbolicExpressionGenealogyGraphNode>>(); 13 37 14 [Storable] 15 private readonly Dictionary<GenealogyGraphNode, NodeMetadata> _nodeInfo = new Dictionary<GenealogyGraphNode, NodeMetadata>(); 16 17 public SymbolicExpressionTreeGenealogyGraph() { 18 } 38 public SymbolicExpressionTreeGenealogyGraph() { } 19 39 20 40 [StorableConstructor] 21 public SymbolicExpressionTreeGenealogyGraph(bool serializing) 22 : base(serializing) { 23 } 41 public SymbolicExpressionTreeGenealogyGraph(bool serializing) : base(serializing) { } 24 42 25 public override IDeepCloneable Clone(Cloner cloner) { 26 return new SymbolicExpressionTreeGenealogyGraph(this, cloner); 27 } 43 public override IDeepCloneable Clone(Cloner cloner) { return new SymbolicExpressionTreeGenealogyGraph(this, cloner); } 28 44 29 protected SymbolicExpressionTreeGenealogyGraph(SymbolicExpressionTreeGenealogyGraph original, Cloner cloner) 30 : base(original, cloner) { 31 } 45 protected SymbolicExpressionTreeGenealogyGraph(SymbolicExpressionTreeGenealogyGraph original, Cloner cloner) : base(original, cloner) { } 32 46 33 public override void AddNode(ISymbolicExpressionTree tree) { 34 if (HasNode(tree)) return; 35 var node = new GenealogyGraphNode(tree); 36 _nodeInfo[node] = new NodeMetadata(); 47 public override void AddNode(SymbolicExpressionGenealogyGraphNode node) { 48 if (!nodeMap.ContainsKey(node.SymbolicExpressionTree)) 49 nodeMap[node.SymbolicExpressionTree] = new List<SymbolicExpressionGenealogyGraphNode> { node }; 50 else 51 nodeMap[node.SymbolicExpressionTree].Add(node); 37 52 base.AddNode(node); 38 53 } 39 54 40 public override void AddNode(GenealogyGraphNode node) { 41 var tree = (ISymbolicExpressionTree)node.Data; 42 if (HasNode(tree)) return; 43 _nodeInfo[node] = new NodeMetadata(); 44 base.AddNode(node); 55 public List<SymbolicExpressionGenealogyGraphNode> GetGraphNodes(ISymbolicExpressionTree tree) { 56 return nodeMap.ContainsKey(tree) ? nodeMap[tree] : null; 45 57 } 46 58 47 public NodeMetadata this[GenealogyGraphNode node] { 48 get { 49 NodeMetadata value; 50 _nodeInfo.TryGetValue(node, out value); 51 return value; 59 public bool HasNode(SymbolicExpressionTree tree) { 60 return Nodes.Any(x => x.SymbolicExpressionTree == tree); 61 } 62 63 public int Compare(GenealogyGraphNode a, GenealogyGraphNode b) { 64 return Compare(a as SymbolicExpressionGenealogyGraphNode, b as SymbolicExpressionGenealogyGraphNode); 65 } 66 67 // TODO: make sure a and b are valid and the info exists for both 68 public int Compare(SymbolicExpressionGenealogyGraphNode a, SymbolicExpressionGenealogyGraphNode b) { 69 if (a.Quality.Equals(b.Quality)) { 70 if (a.IsElite) return +1; 71 if (b.IsElite) return -1; 52 72 } 53 set { 54 _nodeInfo[node] = value; 55 } 73 return a.Quality.CompareTo(b.Quality); 56 74 } 57 75 58 76 #region Fragment tracing 59 public IEnumerable<ISymbolicExpressionTree> TraceFragment(ISymbolicExpressionTreeNode fragment, int mode = 0) {60 return Keys.Where(tree => tree.ContainsFragment(fragment, mode));77 public IEnumerable<ISymbolicExpressionTree> TraceFragment(ISymbolicExpressionTreeNode fragment, SimilarityLevel similarity = SimilarityLevel.Exact) { 78 return Nodes.Where(x => x.SymbolicExpressionTree.ContainsFragment(fragment, similarity)).Select(x => x.SymbolicExpressionTree).ToList(); 61 79 } 62 80 #endregion 63 81 } 64 82 65 public class NodeMetadata { 83 public class SymbolicExpressionGenealogyGraphNode : GenealogyGraphNode { 84 public ISymbolicExpressionTree SymbolicExpressionTree { get; set; } 66 85 public double Quality { get; set; } 86 public bool IsElite { get; set; } 67 87 public List<double> Ranks { get; set; } 68 public bool IsElite { get; set; }69 88 70 public NodeMetadata() { 89 public SymbolicExpressionGenealogyGraphNode() { 90 Ranks = new List<double>(); 91 } 92 93 public SymbolicExpressionGenealogyGraphNode(object content) { 94 Content = content; 71 95 Ranks = new List<double>(); 72 96 }
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