source: branches/HeuristicLab.DataImporter/HeuristicLab.DataImporter.Command/ChangeValues/ScalingBetweenMinAndMaxCommand.cs @ 7624

#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 <http://www.gnu.org/licenses/>.
 */
#endregion

using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Windows.Forms;
using System.Xml;
using HeuristicLab.DataImporter.Data;
using HeuristicLab.DataImporter.Data.CommandBase;
using HeuristicLab.DataImporter.Data.Model;
using HeuristicLab.DataImporter.Command.View;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;

namespace HeuristicLab.DataImporter.Command {
  [StorableClass]
  [ViewableCommandInfoAttribute("Scaling between Min/Max", 1, ColumnGroupState.DoubleColumnSelected, "Change Values",
 Position = 4, OptionsView = typeof(MinMaxCommandView))]
  public class ScalingBetweenMinAndMaxCommand : ColumnGroupCommandWithAffectedColumnsBase {
    private List<double> oldMinValues;
    private List<double> oldMaxValues;

    private ScalingBetweenMinAndMaxCommand()
      : base(null, string.Empty, null) {
      oldMinValues = new List<double>();
      oldMaxValues = new List<double>();
    }

    public ScalingBetweenMinAndMaxCommand(DataSet dataSet, string columnGroupName, int[] affectedColumns)
      : base(dataSet, columnGroupName, affectedColumns) {
      oldMinValues = new List<double>();
      oldMaxValues = new List<double>();
    }

    public override string Description {
      get { return "Scale Values between minimum and maximum"; }
    }

    [Storable]
    private double minValue;
    public double MinValue {
      get { return this.minValue; }
      set { this.minValue = value; }
    }

    [Storable]
    private double maxValue;
    public double MaxValue {
      get { return maxValue; }
      set { this.maxValue = value; }
    }

    public override void Execute() {
      base.Execute();
      if (maxValue < minValue)
        throw new CommandExecutionException("Minimum must be smaller or equal than Maximum.", this);
      DoubleColumn column;
      int j = 0;
      for (int i = 0; i < AffectedColumns.Length; i++) {
        if (ColumnGroup.GetColumn(AffectedColumns[i]) is DoubleColumn) {
          column = (DoubleColumn)ColumnGroup.GetColumn(AffectedColumns[i]);
          if (column.ContainsNotNullValues) {
            oldMinValues.Add((double)column.Minimum);
            oldMaxValues.Add((double)column.Maximum);
            ScaleLinear(column, oldMinValues[j], oldMaxValues[j], minValue, maxValue);
            j++;
          }
        }
      }
      ColumnGroup.FireChanged();
      ColumnGroup = null;
    }

    public override void UndoExecute() {
      base.UndoExecute();
      DoubleColumn column;
      int j = 0;
      for (int i = 0; i < AffectedColumns.Length; i++) {
        if (ColumnGroup.GetColumn(i) is DoubleColumn) {
          column = (DoubleColumn)ColumnGroup.GetColumn(AffectedColumns[i]);
          if (column.ContainsNotNullValues) {
            oldMinValues.Add((double)column.Minimum);
            oldMaxValues.Add((double)column.Maximum);
            ScaleLinear(column, minValue, maxValue, oldMinValues[j], oldMaxValues[j]);
            j++;
          }
        }
      }
      oldMinValues.Clear();
      oldMaxValues.Clear();
      ColumnGroup.FireChanged();
      ColumnGroup = null;
    }

    private void ScaleLinear(DoubleColumn column, double oldMin, double oldMax, double newMin, double newMax) {
      double newRange = newMax - newMin;
      double? actValue;
      double oldRange = oldMax - oldMin;
      if (oldRange == 0)
        oldRange = 1;
      for (int i = 0; i < column.TotalValuesCount; i++) {
        actValue = (double?)column.GetValue(i);
        if (actValue != null)
          column.ChangeValue(i, newMin + newRange * (((double)actValue) - oldMin) / oldRange);
      }
    }
  }
}