#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 HeuristicLab.Collections;
using HeuristicLab.Common;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
namespace HeuristicLab.Encodings.SymbolicExpressionTreeEncoding {
[StorableClass]
public sealed class GroupSymbol : Symbol {
private const int minimumArity = 0;
private const int maximumArity = 0;
public override int MinimumArity {
get { return minimumArity; }
}
public override int MaximumArity {
get { return maximumArity; }
}
private ObservableSet symbols;
public IObservableSet SymbolsCollection {
get { return symbols; }
}
[Storable]
public IEnumerable Symbols {
get { return symbols; }
private set { symbols = new ObservableSet(value); }
}
[StorableConstructor]
private GroupSymbol(bool deserializing) : base(deserializing) { }
private GroupSymbol(GroupSymbol original, Cloner cloner)
: base(original, cloner) {
symbols = new ObservableSet(original.Symbols.Select(s => cloner.Clone(s)));
}
public override IDeepCloneable Clone(Cloner cloner) {
return new GroupSymbol(this, cloner);
}
public GroupSymbol() : this("Group Symbol", Enumerable.Empty()) { }
public GroupSymbol(string name, IEnumerable symbols)
: base(name, "A symbol which groups other symbols") {
this.symbols = new ObservableSet(symbols);
InitialFrequency = 0.0;
}
public override IEnumerable Flatten() {
return base.Flatten().Union(symbols.SelectMany(s => s.Flatten()));
}
}
}