#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 System.Linq;
using System.Reflection;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Optimization;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
using HeuristicLab.Problems.ExternalEvaluation.Programmable;
using HeuristicLab.Scripting;
namespace HeuristicLab.Problems.ExternalEvaluation {
[Item("ProblemDefinitionScript", "Script that defines the parameter vector and evaluates the solution for a programmable problem.")]
[StorableClass]
public sealed class SingleObjectiveOptimizationSupportScript : Script, ISingleObjectiveOptimizationSupport {
[Storable]
private VariableStore variableStore;
public VariableStore VariableStore {
get { return variableStore; }
}
protected override string CodeTemplate {
get { return Templates.CompiledSingleObjectiveOptimizationSupport; }
}
[StorableConstructor]
private SingleObjectiveOptimizationSupportScript(bool deserializing) : base(deserializing) { }
private SingleObjectiveOptimizationSupportScript(SingleObjectiveOptimizationSupportScript original, Cloner cloner)
: base(original, cloner) {
variableStore = cloner.Clone(original.variableStore);
}
public SingleObjectiveOptimizationSupportScript()
: base() {
variableStore = new VariableStore();
}
public override IDeepCloneable Clone(Cloner cloner) {
return new SingleObjectiveOptimizationSupportScript(this, cloner);
}
private readonly object compileLock = new object();
private volatile ISingleObjectiveOptimizationSupport compiledInstance;
private ISingleObjectiveOptimizationSupport CompiledInstance {
get {
if (compiledInstance == null) {
lock (compileLock) {
if (compiledInstance == null) {
Compile();
}
}
}
return compiledInstance;
}
set { compiledInstance = value; }
}
public override Assembly Compile() {
var assembly = base.Compile();
var types = assembly.GetTypes();
if (!types.Any(x => typeof(CompiledOptimizationSupport).IsAssignableFrom(x)))
throw new SingleObjectiveOptimizationSupportException("The compiled code doesn't contain an optimization support." + Environment.NewLine + "The support class must be a subclass of CompiledOptimizationSupport.");
if (types.Count(x => typeof(CompiledOptimizationSupport).IsAssignableFrom(x)) > 1)
throw new SingleObjectiveOptimizationSupportException("The compiled code contains multiple support classes." + Environment.NewLine + "Only one subclass of CompiledOptimizationSupport is allowed.");
CompiledOptimizationSupport inst;
try {
inst = (CompiledOptimizationSupport)Activator.CreateInstance(types.Single(x => typeof(CompiledOptimizationSupport).IsAssignableFrom(x)));
inst.vars = new Variables(VariableStore);
} catch (Exception e) {
compiledInstance = null;
throw new SingleObjectiveOptimizationSupportException("Instantiating the optimization support class failed." + Environment.NewLine + "Check your default constructor.", e);
}
var soInst = inst as ISingleObjectiveOptimizationSupport;
if (soInst == null)
throw new SingleObjectiveOptimizationSupportException("The optimization support class does not implement ISingleObjectiveOptimizationSupport." + Environment.NewLine + "Please implement that interface in the subclass of CompiledOptimizationSupport.");
CompiledInstance = soInst;
return assembly;
}
protected override void OnCodeChanged() {
base.OnCodeChanged();
compiledInstance = null;
}
void ISingleObjectiveOptimizationSupport.Analyze(Individual[] individuals, double[] qualities, ResultCollection results, IRandom random) {
CompiledInstance.Analyze(individuals, qualities, results, random);
}
IEnumerable ISingleObjectiveOptimizationSupport.GetNeighbors(Individual individual, IRandom random) {
return CompiledInstance.GetNeighbors(individual, random);
}
}
}