#region License Information
/* HeuristicLab
* Copyright (C) 2002-2013 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.Collections.Generic;
using HeuristicLab.DataImporter.Command.View;
using HeuristicLab.DataImporter.Data;
using HeuristicLab.DataImporter.Data.CommandBase;
using HeuristicLab.DataImporter.Data.Model;
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 oldMinValues;
private List oldMaxValues;
[StorableConstructor]
protected ScalingBetweenMinAndMaxCommand(bool deserializing)
: base(deserializing) {
oldMinValues = new List();
oldMaxValues = new List();
}
public ScalingBetweenMinAndMaxCommand(DataSet dataSet, string columnGroupName, int[] affectedColumns)
: base(dataSet, columnGroupName, affectedColumns) {
oldMinValues = new List();
oldMaxValues = new List();
}
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);
}
}
}
}