#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.Collections.Generic;
using System.Linq;
using System.Text;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Encodings.ConditionActionEncoding;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
namespace HeuristicLab.Encodings.VariableVector {
[StorableClass]
[Item("VariableVectorAction", "")]
public class VariableVectorAction : Item, IAction {
[Storable]
private Dictionary variableDictionary;
public Dictionary VariableDictionary {
get { return variableDictionary; }
protected set { variableDictionary = value; }
}
public IOrderedEnumerable Order { get { return VariableDictionary.Keys.OrderBy(x => x); } }
public int VirtualLength { get { return VariableDictionary.Values.Sum(x => x.VirtualLength); } }
[StorableConstructor]
protected VariableVectorAction(bool deserializing) { }
protected VariableVectorAction(VariableVectorAction original, Cloner cloner) {
VariableDictionary = new Dictionary(original.VariableDictionary.Count);
foreach (var item in original.VariableDictionary) {
VariableDictionary.Add(item.Key, cloner.Clone(item.Value));
}
}
public VariableVectorAction()
: base() {
VariableDictionary = new Dictionary();
}
public VariableVectorAction(int capacity)
: base() {
VariableDictionary = new Dictionary(capacity);
}
public VariableVectorAction(IDictionary dictionary)
: base() {
VariableDictionary = new Dictionary(dictionary);
}
public override IDeepCloneable Clone(Cloner cloner) {
return new VariableVectorAction(this, cloner);
}
public VariableVectorAction GetEmptyCopy() {
VariableVectorAction emptyCopy = new VariableVectorAction(VariableDictionary.Count);
emptyCopy.Add(VariableDictionary.Values.Select(x => x.GetEmptyCopy()));
return emptyCopy;
}
public VariableVectorAction GetSetCopy() {
VariableVectorAction setCopy = new VariableVectorAction(VariableDictionary.Count);
setCopy.Add(VariableDictionary.Values.Select(x => x.GetSetCopy()));
return setCopy;
}
public bool Match(IAction target) {
var targetCast = target as VariableVectorAction;
if (targetCast == null) { return false; }
foreach (var key in targetCast.VariableDictionary.Keys) {
if (!VariableDictionary.ContainsKey(key) || !VariableDictionary[key].MatchVariable(targetCast.VariableDictionary[key])) {
return false;
}
}
return true;
}
public void Add(IEnumerable action) {
foreach (var variable in action) {
VariableDictionary.Add(variable.VariableName, variable);
}
}
public override string ToString() {
StringBuilder sb = new StringBuilder();
bool first = true;
foreach (var variable in VariableDictionary.Values) {
if (first) {
first = false;
} else {
sb.Append(";");
}
sb.Append(variable.ToString());
}
return sb.ToString();
}
public void Randomize(IRandom random) {
foreach (var variable in VariableDictionary.Values) {
variable.RandomizeAction(random);
}
}
public bool Identical(VariableVectorAction target) {
if (!this.Order.SequenceEqual(target.Order)) { return false; }
foreach (var keyValuePair in target.VariableDictionary) {
if (!VariableDictionary[keyValuePair.Key].Identical(keyValuePair.Value)) {
return false;
}
}
return true;
}
}
}