#region License Information /* HeuristicLab * Copyright (C) 2002-2011 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.Text; 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("Minimum", 1, ColumnGroupState.DoubleColumnSelected | ColumnGroupState.AnySelectedColumnNotSorted, "Aggregation", Position = 3, OptionsView = typeof(AggregationCommandView))] public class AggregateWithMinCommand : AggregateCommandBase { private AggregateWithMinCommand() : base(null, string.Empty, null) { } public AggregateWithMinCommand(DataSet dataSet, string columnGroupName, int[] affectedColumns) : base(dataSet, columnGroupName, affectedColumns) { } public override string Description { get { return "Aggregate with min function"; } } protected override IComparable AggregationFunction(ColumnBase col, int startIndex, int endIndex) { IComparable minValue = null; IComparable val; for (int i = startIndex; i < endIndex; i++) { val = col.GetValue(i); if (val != null) { if (minValue == null || val.CompareTo(minValue) < 0) minValue = val; } } return minValue; } } }