#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 System.Linq;
using HeuristicLab.DataPreprocessing.Filter;
using HeuristicLab.DataPreprocessing.Interfaces;
namespace HeuristicLab.DataPreprocessing {
public class FilterLogic : IFilterLogic {
private IFilteredPreprocessingData preprocessingData;
public FilterLogic(IFilteredPreprocessingData preprocessingData) {
this.preprocessingData = preprocessingData;
}
public bool[] Preview(IList filters, bool isAndCombination) {
IList activeFilters = filters.Where(f => f.Active && f.ConstraintData != null).ToList();
if (activeFilters.Count == 0) {
return new bool[preprocessingData.Rows];
}
bool[] result = CreateBoolArray(preprocessingData.Rows, isAndCombination);
foreach (IFilter filter in activeFilters) {
bool[] filterResult = filter.Check();
for (int row = 0; row < result.Length; ++row) {
result[row] = Result(result[row], filterResult[row], isAndCombination);
}
}
preprocessingData.SetFilter(result);
return result;
}
public bool[] CreateBoolArray(int rows, bool value) {
return Enumerable.Repeat(value, rows).ToArray();
}
public bool Result(bool current, bool addition, bool isAndCombination) {
return isAndCombination ? current && addition : current || addition;
}
public void Apply(IList filters, bool isAndCombination) {
preprocessingData.SetFilter(Preview(filters, isAndCombination));
preprocessingData.PersistFilter();
}
public void Reset() {
preprocessingData.ResetFilter();
}
public IPreprocessingData PreprocessingData {
get { return preprocessingData; }
}
}
}