#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;
using System.Collections.Generic;
using System.Linq;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Operators;
using HeuristicLab.Parameters;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
namespace HeuristicLab.Algorithms.ALPS {
[Item("LayerUniformSubScopesProcessor", "")]
[StorableClass]
public class LayerUniformSubScopesProcessor : SingleSuccessorOperator {
private OperatorParameter OperatorParameter {
get { return (OperatorParameter)Parameters["Operator"]; }
}
public ValueLookupParameter ParallelParameter {
get { return (ValueLookupParameter)Parameters["Parallel"]; }
}
private ILookupParameter PopulationSizeParameter {
get { return (ILookupParameter)Parameters["PopulationSize"]; }
}
public IOperator Operator {
get { return OperatorParameter.Value; }
set { OperatorParameter.Value = value; }
}
public BoolValue Parallel {
get { return ParallelParameter.Value; }
set { ParallelParameter.Value = value; }
}
[StorableConstructor]
private LayerUniformSubScopesProcessor(bool deserializing) : base(deserializing) { }
private LayerUniformSubScopesProcessor(LayerUniformSubScopesProcessor original, Cloner cloner)
: base(original, cloner) {
}
public LayerUniformSubScopesProcessor()
: base() {
Parameters.Add(new OperatorParameter("Operator", "The operator which should be applied on all sub-scopes of the current scope."));
Parameters.Add(new ValueLookupParameter("Parallel", "True if the operator should be applied in parallel on all sub-scopes, otherwise false.", new BoolValue(false)));
Parameters.Add(new LookupParameter("PopulationSize"));
}
public override IDeepCloneable Clone(Cloner cloner) {
return new LayerUniformSubScopesProcessor(this, cloner);
}
public override IOperation Apply() {
var next = new OperationCollection(Successor != null ? ExecutionContext.CreateOperation(Successor) : null);
if (Operator != null) {
var scopes = ExecutionContext.Scope.SubScopes;
var inner = new OperationCollection() {
Parallel = Parallel == null ? false : Parallel.Value
};
for (int i = 0; i < scopes.Count; i++) {
var layerParameters = new LayerIntermediateParameter {
new ValueParameter(PopulationSizeParameter.ActualName, new IntValue(PopulationSizeParameter.ActualValue[Math.Min(i, PopulationSizeParameter.ActualValue.Length - 1)]))
};
var immediateContext = new ExecutionContext(ExecutionContext.Parent, layerParameters, scopes[i]);
inner.Add(immediateContext.CreateChildOperation(Operator, scopes[i]));
}
next.Insert(0, inner);
}
return next;
}
}
[Item("LayerIntermediateParameter", "")]
[StorableClass]
public class LayerIntermediateParameter : ParameterizedNamedItem, IEnumerable {
[StorableConstructor]
private LayerIntermediateParameter(bool deserializing) : base(deserializing) { }
private LayerIntermediateParameter(LayerIntermediateParameter original, Cloner cloner)
: base(original, cloner) {
}
public LayerIntermediateParameter()
: base("LayerIntermediateParameter") {
}
public override IDeepCloneable Clone(Cloner cloner) {
return new LayerIntermediateParameter(this, cloner);
}
public void Add(IParameter parameter) {
Parameters.Add(parameter);
}
public IEnumerator GetEnumerator() {
return Parameters.GetEnumerator();
}
IEnumerator IEnumerable.GetEnumerator() {
return GetEnumerator();
}
}
}