#region License Information
/* HeuristicLab
* Copyright (C) 2002-2015 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(original, cloner) {
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();
}
}
}