source: branches/FitnessLandscapeAnalysis/HeuristicLab.Analysis.FitnessLandscape/Analysis/Aggregators/UpDownAggregatorAggregator.cs @ 13365

using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using HeuristicLab.Core;
using HeuristicLab.Optimization;
using HeuristicLab.Data;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
using HeuristicLab.Common;
using HeuristicLab.Common.Resources;
using HeuristicLab.Analysis.FitnessLandscape.DataTables;
using System.Drawing;
using HeuristicLab.Analysis.FitnessLandscape.Analysis;

namespace HeuristicLab.Analysis.FitnessLandscape {

  [Item("Up Down Aggregator", "Aggregates scalar up down analyses.")]
  [StorableClass]
  public class UpDownAggregator : NamedItem, IAggregator {

    public static new Image StaticItemImage { get { return VSImageLibrary.Database; } }
    public override bool CanChangeName { get { return false; } }

    [Storable]
    private List<double> downWalkLengths = new List<double>();
    [Storable]
    private List<double> upWalkLengths = new List<double>();
    [Storable]
    private List<double> downWalkLenVars = new List<double>();
    [Storable]
    private List<double> upWalkLenVars = new List<double>();

    #region Construction & Cloning
    [StorableConstructor]
    protected UpDownAggregator(bool deserializing) : base(deserializing) { }
    protected UpDownAggregator(UpDownAggregator original, Cloner cloner) : base(original, cloner) {
      downWalkLengths = original.downWalkLengths.ToList();
      upWalkLengths = original.upWalkLengths.ToList();
      downWalkLenVars = original.downWalkLenVars.ToList();
      upWalkLenVars = original.upWalkLenVars.ToList();
    }
    public UpDownAggregator() {
      name = ItemName;
      description = ItemDescription;
    }
    public override IDeepCloneable Clone(Cloner cloner) {
      return new UpDownAggregator(this, cloner);
    }
    #endregion

    #region IAggregator interface    
    public virtual void MaybeAddResult(IResult result) {
      MaybeAddValue(downWalkLengths, "DownWalkLength", result);
      MaybeAddValue(upWalkLengths, "UpWalkLength", result);
      MaybeAddValue(downWalkLenVars, "DownWalkLenVar", result);
      MaybeAddValue(upWalkLenVars, "UpWalkLenVar", result);
    }

    private void MaybeAddValue(List<double> values, string resultName, IResult result) {
      if (result.Name != resultName) return;
      var value = result.Value as DoubleValue;
      if (value != null)
        values.Add(value.Value);
    }

    public virtual IResult CreateResult() {
      var results = new ResultCollection();
      results.AddRange(CreateSummary("DownWalkLength", downWalkLengths));
      results.AddRange(CreateSummary("UpWalkLength", upWalkLengths));
      results.AddRange(CreateSummary("DownWalkLenVar", downWalkLenVars));
      results.AddRange(CreateSummary("UpWalkLenVar", upWalkLenVars));
      return new Result("UpDown", results);
    }

    public virtual void Reset() {
      downWalkLengths.Clear();
      upWalkLengths.Clear();
      downWalkLenVars.Clear();
      upWalkLenVars.Clear();
    }
    #endregion

    private IEnumerable<IResult> CreateSummary(string name, IEnumerable<double> values) {
      DistributionAnalyzer analyzer = new DistributionAnalyzer(values);      
      return new[] {
        new Result(name + " Avg", new DoubleValue(analyzer.Mean)),
        new Result(name + " Quartile-Spread", new DoubleValue(analyzer[0.75]-analyzer[0.25])),
        new Result(name + " 90%-Spread", new DoubleValue(analyzer[0.95]-analyzer[0.05])),
        new Result(name + " Range", new DoubleValue(analyzer[1]-analyzer[0])),
      };
    }

    

  }
}