#region License Information /* HeuristicLab * Copyright (C) 2002-2012 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 * the Free Software Foundation, either version 3 of the License, or * (at your option) any later version. * * 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 . */ #endregion using System; using System.Collections.Generic; using HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; namespace HeuristicLab.Encodings.SymbolicExpressionTreeEncoding { [StorableClass] public class SymbolicExpressionTreeNode : DeepCloneable, ISymbolicExpressionTreeNode { [Storable] private IList subtrees; [Storable] private ISymbol symbol; // cached values to prevent unnecessary tree iterations private ushort length; private ushort depth; public ISymbol Symbol { get { return symbol; } protected set { symbol = value; } } // parent relation is not persisted or cloned (will be set on AddSubtree or RemoveSubtree) private ISymbolicExpressionTreeNode parent; public ISymbolicExpressionTreeNode Parent { get { return parent; } set { parent = value; } } [StorableConstructor] protected SymbolicExpressionTreeNode(bool deserializing) { } protected SymbolicExpressionTreeNode(SymbolicExpressionTreeNode original, Cloner cloner) : base() { symbol = original.symbol; // symbols are reused length = original.length; depth = original.depth; if (original.subtrees != null) { subtrees = new List(original.subtrees.Count); foreach (var subtree in original.subtrees) { var clonedSubtree = cloner.Clone(subtree); subtrees.Add(clonedSubtree); clonedSubtree.Parent = this; } } } public override IDeepCloneable Clone(Cloner cloner) { return new SymbolicExpressionTreeNode(this, cloner); } internal SymbolicExpressionTreeNode() : base() { // don't allocate subtrees list here! // because we don't want to allocate it in terminal nodes } public SymbolicExpressionTreeNode(ISymbol symbol) : base() { subtrees = new List(3); this.symbol = symbol; } [StorableHook(HookType.AfterDeserialization)] private void AfterDeserialization() { if (subtrees != null) { foreach (var subtree in subtrees) subtree.Parent = this; } } public virtual bool HasLocalParameters { get { return false; } } public virtual IEnumerable Subtrees { get { return subtrees; } } public virtual ISymbolicExpressionTreeGrammar Grammar { get { return parent.Grammar; } } public int GetLength() { if (length > 0) return length; else { length = 1; if (subtrees != null) { for (int i = 0; i < subtrees.Count; i++) { checked { length += (ushort)subtrees[i].GetLength(); } } } return length; } } public int GetDepth() { if (depth > 0) return depth; else { if (subtrees != null) { for (int i = 0; i < subtrees.Count; i++) depth = Math.Max(depth, (ushort)subtrees[i].GetDepth()); } depth++; return depth; } } public int GetBranchLevel(ISymbolicExpressionTreeNode child) { return GetBranchLevel(this, child); } private static int GetBranchLevel(ISymbolicExpressionTreeNode root, ISymbolicExpressionTreeNode point) { if (root == point) return 0; foreach (var subtree in root.Subtrees) { int branchLevel = GetBranchLevel(subtree, point); if (branchLevel < int.MaxValue) return 1 + branchLevel; } return int.MaxValue; } public virtual void ResetLocalParameters(IRandom random) { } public virtual void ShakeLocalParameters(IRandom random, double shakingFactor) { } public int SubtreeCount { get { if (subtrees == null) return 0; return subtrees.Count; } } public virtual ISymbolicExpressionTreeNode GetSubtree(int index) { return subtrees[index]; } public virtual int IndexOfSubtree(ISymbolicExpressionTreeNode tree) { return subtrees.IndexOf(tree); } public virtual void AddSubtree(ISymbolicExpressionTreeNode tree) { subtrees.Add(tree); tree.Parent = this; ResetCachedValues(); } public virtual void InsertSubtree(int index, ISymbolicExpressionTreeNode tree) { subtrees.Insert(index, tree); tree.Parent = this; ResetCachedValues(); } public virtual void RemoveSubtree(int index) { subtrees[index].Parent = null; subtrees.RemoveAt(index); ResetCachedValues(); } public IEnumerable IterateNodesBreadth() { var list = new List() { this }; int i = 0; while (i != list.Count) { for (int j = 0; j != list[i].SubtreeCount; ++j) list.Add(list[i].GetSubtree(j)); ++i; } return list; } public IEnumerable IterateNodesPrefix() { List list = new List(); ForEachNodePrefix((n) => list.Add(n)); return list; } public void ForEachNodePrefix(Action a) { a(this); if (Subtrees != null) { foreach (var subtree in Subtrees) { subtree.ForEachNodePrefix(a); } } } public IEnumerable IterateNodesPostfix() { List list = new List(); ForEachNodePostfix((n) => list.Add(n)); return list; } public void ForEachNodePostfix(Action a) { if (Subtrees != null) { foreach (var subtree in Subtrees) { subtree.ForEachNodePostfix(a); } } a(this); } public override string ToString() { if (Symbol != null) return Symbol.Name; return "SymbolicExpressionTreeNode"; } private void ResetCachedValues() { length = 0; depth = 0; SymbolicExpressionTreeNode parentNode = parent as SymbolicExpressionTreeNode; if (parentNode != null) parentNode.ResetCachedValues(); } } }