source: branches/2895_PushGP_GenealogyAnalysis/HeuristicLab.Problems.ProgramSynthesis/Push/Analyzer/IndividualZeroErrorAnalyzer.cs

namespace HeuristicLab.Problems.ProgramSynthesis {

  using HeuristicLab.Analysis;
  using HeuristicLab.Common;
  using HeuristicLab.Core;
  using HeuristicLab.Data;
  using HeuristicLab.Operators;
  using HeuristicLab.Optimization;
  using HeuristicLab.Parameters;
  using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;

  /// <summary>
  /// An operater that tracks the count of individuals with zero error on the cases
  /// </summary>
  [Item("IndividualZeroErrorAnalyzer", "An operater that tracks the count of individuals with zero error on the cases")]
  [StorableClass]
  public class IndividualZeroErrorAnalyzer : SingleSuccessorOperator, IIndividualZeroErrorAnalyzer {
    private const string RESULTS_PARAMETER_NAME = "Results";
    private const string INDIVIDUAL_ZERO_ERROR_PARAMETER_NAME = "ZeroErrorIndividualsPerCase";
    private const string INDIVIDUAL_ZERO_ERROR_HISTORY_PARAMETER_NAME = INDIVIDUAL_ZERO_ERROR_PARAMETER_NAME + "History";

    private const string RESULT_PARAMETER_NAME = "Zero Error Individuals Per Case";
    private const string RESULT_PARAMETER_DESCRIPTION = "Relative frequency of instructions aggregated over the whole population.";
    private const string Y_AXIS_TITLE = "Relative count of zero error individuals";
    private const string X_AXIS_TITLE = "Case Nr";
    private const string ROW_NAME = "Cases";
    private const string HISTORY_TABLE_NAME = "Individual Zero Error history";

    public IndividualZeroErrorAnalyzer() {
      Parameters.Add(new LookupParameter<DataTable>(
        INDIVIDUAL_ZERO_ERROR_PARAMETER_NAME,
        "The data table to store the count of individuals with zero error."));

      Parameters.Add(new ValueLookupParameter<DataTableHistory>(
        INDIVIDUAL_ZERO_ERROR_HISTORY_PARAMETER_NAME,
        "The data table to store the history."));

      Parameters.Add(new LookupParameter<ResultCollection>(
        RESULTS_PARAMETER_NAME,
        "The result collection where the symbol frequencies should be stored."));

      Parameters.Add(new ScopeTreeLookupParameter<DoubleArray>(
       IntegerVectorPushProblem.CaseQualitiesScopeParameterName,
       "The quality of every single training case for each individual."));

      Parameters.Add(new ValueParameter<BoolValue>(
        "StoreHistory",
        "True if the history of the analysis should be stored.",
        new BoolValue(false)));

      Parameters.Add(new ValueParameter<IntValue>(
        "UpdateInterval",
        "The interval in which the analysis should be applied.",
        new IntValue(1)));

      Parameters.Add(new ValueParameter<IntValue>(
        "UpdateCounter",
        "The value which counts how many times the operator was called since the last update.",
        new IntValue(0)));

      IndividualZeroErrorParameter.Hidden = true;
      IndividualZeroErrorHistoryParameter.Hidden = true;
      ResultsParameter.Hidden = true;
      UpdateCounterParameter.Hidden = true;
    }

    [StorableConstructor]
    public IndividualZeroErrorAnalyzer(bool deserializing) : base(deserializing) { }

    public IndividualZeroErrorAnalyzer(IndividualZeroErrorAnalyzer origin, Cloner cloner) : base(origin, cloner) { }

    public override IDeepCloneable Clone(Cloner cloner) {
      return new IndividualZeroErrorAnalyzer(this, cloner);
    }

    public bool EnabledByDefault { get { return true; } }

    public ValueParameter<BoolValue> StoreHistoryParameter {
      get { return (ValueParameter<BoolValue>)Parameters["StoreHistory"]; }
    }
    public ValueParameter<IntValue> UpdateIntervalParameter {
      get { return (ValueParameter<IntValue>)Parameters["UpdateInterval"]; }
    }
    public ValueParameter<IntValue> UpdateCounterParameter {
      get { return (ValueParameter<IntValue>)Parameters["UpdateCounter"]; }
    }

    public ILookupParameter<DataTable> IndividualZeroErrorParameter {
      get { return (ILookupParameter<DataTable>)Parameters[INDIVIDUAL_ZERO_ERROR_PARAMETER_NAME]; }
    }

    public ValueLookupParameter<DataTableHistory> IndividualZeroErrorHistoryParameter {
      get { return (ValueLookupParameter<DataTableHistory>)Parameters[INDIVIDUAL_ZERO_ERROR_HISTORY_PARAMETER_NAME]; }
    }

    public ILookupParameter<ResultCollection> ResultsParameter {
      get { return (ILookupParameter<ResultCollection>)Parameters[RESULTS_PARAMETER_NAME]; }
    }

    public ILookupParameter<ItemArray<DoubleArray>> CaseQualitiesParameter {
      get { return (ILookupParameter<ItemArray<DoubleArray>>)Parameters[IntegerVectorPushProblem.CaseQualitiesScopeParameterName]; }
    }

    public override IOperation Apply() {
      UpdateCounterParameter.Value.Value++;
      // the analyzer runs periodically, every 'updateInterval' times
      if (UpdateCounterParameter.Value.Value != UpdateIntervalParameter.Value.Value)
        return base.Apply();

      UpdateCounterParameter.Value.Value = 0; // reset counter

      var caseQualitiesPerIndividual = CaseQualitiesParameter.ActualValue;
      var caseCount = caseQualitiesPerIndividual[0].Length;

      var results = ResultsParameter.ActualValue;
      var individualZeroErrorCounts = IndividualZeroErrorParameter.ActualValue;

      if (individualZeroErrorCounts == null) {
        individualZeroErrorCounts = new DataTable(
         RESULT_PARAMETER_NAME,
         RESULT_PARAMETER_DESCRIPTION) {
          VisualProperties = {
            YAxisTitle = Y_AXIS_TITLE,
            XAxisTitle = X_AXIS_TITLE,
            YAxisMinimumFixedValue = 0,
            YAxisMaximumFixedValue = 1,
            YAxisMinimumAuto = false,
            YAxisMaximumAuto = false,
            XAxisMinimumFixedValue = 1,
            XAxisMaximumFixedValue = caseCount,
            XAxisMaximumAuto = false,
            XAxisMinimumAuto = false,
          }
        };

        IndividualZeroErrorParameter.ActualValue = individualZeroErrorCounts;
      }

      if (!results.ContainsKey(RESULT_PARAMETER_NAME)) {
        results.Add(new Result(RESULT_PARAMETER_NAME, individualZeroErrorCounts));
      }

      DataRow row;
      if (!individualZeroErrorCounts.Rows.TryGetValue(ROW_NAME, out row)) {
        row = new DataRow(ROW_NAME) {
          VisualProperties = {
              StartIndexZero = true,
              IsVisibleInLegend = false,
              ChartType = DataRowVisualProperties.DataRowChartType.Columns,
            }
        };

        individualZeroErrorCounts.Rows.Add(row);
      }

      row.Values.Clear();

      for (var i = 0; i < caseCount; i++) {
        var count = 0;

        for (var j = 0; j < caseQualitiesPerIndividual.Length; j++) {
          var caseQuality = caseQualitiesPerIndividual[j][i];

          if (caseQuality == 0.0)
            count++;
        }

        var relativeCount = count / (double)caseQualitiesPerIndividual.Length;

        row.Values.Add(relativeCount);
      }

      var storeHistory = StoreHistoryParameter.Value.Value;

      if (storeHistory) {
        var history = IndividualZeroErrorHistoryParameter.ActualValue;

        if (history == null) {
          history = new DataTableHistory();
          IndividualZeroErrorHistoryParameter.ActualValue = history;
        }

        history.Add((DataTable)individualZeroErrorCounts.Clone());

        if (!results.ContainsKey(HISTORY_TABLE_NAME)) {
          results.Add(new Result(HISTORY_TABLE_NAME, history));
        } else {
          results[HISTORY_TABLE_NAME].Value = history;
        }
      }

      return base.Apply();
    }
  }
}