source: branches/DataPreprocessingImprovements/HeuristicLab.DataPreprocessing/3.4/Implementations/SearchLogic.cs @ 12545

Last change on this file since 12545 was 12545, checked in by ehopf, 4 years ago

#2335: Added the recalculation of the Statistics-View if a Filter gets applied (Defect 8) and minor fixes to the statistic calculations.

File size: 6.2 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4 *
5 * This file is part of HeuristicLab.
6 *
7 * HeuristicLab is free software: you can redistribute it and/or modify
8 * it under the terms of the GNU General Public License as published by
9 * the Free Software Foundation, either version 3 of the License, or
10 * (at your option) any later version.
11 *
12 * HeuristicLab is distributed in the hope that it will be useful,
13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
15 * GNU General Public License for more details.
16 *
17 * You should have received a copy of the GNU General Public License
18 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
19 */
20#endregion
21
22using System;
23using System.Collections;
24using System.Collections.Generic;
25
26namespace HeuristicLab.DataPreprocessing {
27  public class SearchLogic : ISearchLogic {
28    private readonly ITransactionalPreprocessingData preprocessingData;
29    private readonly IFilterLogic filterLogic;
30
31    private Dictionary<int, IList<int>> MissingValueIndicies { get; set; }
32    private Dictionary<int, IList> ValuesWithoutNaN { get; set; }
33
34    public IEnumerable<string> VariableNames {
35      get { return preprocessingData.VariableNames; }
36    }
37
38    public int Columns {
39      get { return preprocessingData.Columns; }
40    }
41
42    public int Rows {
43      get { return preprocessingData.Rows; }
44    }
45
46    public SearchLogic(ITransactionalPreprocessingData thePreprocessingData, IFilterLogic theFilterLogic) {
47      preprocessingData = thePreprocessingData;
48      filterLogic = theFilterLogic;
49
50      MissingValueIndicies = new Dictionary<int, IList<int>>();
51      ValuesWithoutNaN = new Dictionary<int, IList>();
52
53      preprocessingData.Changed += PreprocessingData_Changed;
54      filterLogic.FilterChanged += FilterLogic_FilterChanged;
55    }
56
57    void FilterLogic_FilterChanged(object sender, EventArgs e) {
58      //recalculate
59      for (int i = 0; i < Columns; i++) {
60        MissingValueIndicies.Remove(i);
61        ValuesWithoutNaN.Remove(i);
62      }
63    }
64
65    void PreprocessingData_Changed(object sender, DataPreprocessingChangedEventArgs e) {
66      switch (e.Type) {
67        case DataPreprocessingChangedEventType.DeleteColumn:
68        case DataPreprocessingChangedEventType.ChangeColumn:
69          MissingValueIndicies.Remove(e.Column);
70          ValuesWithoutNaN.Remove(e.Column);
71          break;
72        case DataPreprocessingChangedEventType.AddColumn:
73          //cache does not need to be updated, will be calculated the first time it is requested
74          break;
75        case DataPreprocessingChangedEventType.DeleteRow:
76        case DataPreprocessingChangedEventType.AddRow:
77        case DataPreprocessingChangedEventType.ChangeItem:
78        case DataPreprocessingChangedEventType.Any:
79        case DataPreprocessingChangedEventType.Transformation:
80        default:
81          MissingValueIndicies = new Dictionary<int, IList<int>>();
82          ValuesWithoutNaN = new Dictionary<int, IList>();
83          break;
84      }
85    }
86
87    public IDictionary<int, IList<int>> GetMissingValueIndices() {
88      var dic = new Dictionary<int, IList<int>>();
89      for (int i = 0; i < preprocessingData.Columns; ++i) {
90        dic.Add(i, GetMissingValueIndices(i));
91      }
92      return dic;
93    }
94
95    public bool IsMissingValue(int columnIndex, int rowIndex) {
96      if (preprocessingData.VariableHasType<double>(columnIndex)) {
97        return double.IsNaN(preprocessingData.GetCell<double>(columnIndex, rowIndex));
98      } else if (preprocessingData.VariableHasType<string>(columnIndex)) {
99        return string.IsNullOrEmpty(preprocessingData.GetCell<string>(columnIndex, rowIndex));
100      } else if (preprocessingData.VariableHasType<DateTime>(columnIndex)) {
101        return preprocessingData.GetCell<DateTime>(columnIndex, rowIndex).Equals(DateTime.MinValue);
102      } else {
103        throw new ArgumentException("cell in column " + columnIndex + " and row index " + rowIndex + " contains a non supported type.");
104      }
105    }
106
107    public IList<int> GetMissingValueIndices(int columnIndex) {
108      if (!MissingValueIndicies.ContainsKey(columnIndex)) {
109        if (preprocessingData.VariableHasType<double>(columnIndex)) {
110          MissingValueIndicies[columnIndex] = GetMissingValueIndices<double>(columnIndex);
111        } else if (preprocessingData.VariableHasType<string>(columnIndex)) {
112          MissingValueIndicies[columnIndex] = GetMissingValueIndices<string>(columnIndex);
113        } else if (preprocessingData.VariableHasType<DateTime>(columnIndex)) {
114          MissingValueIndicies[columnIndex] = GetMissingValueIndices<DateTime>(columnIndex);
115        } else {
116          throw new ArgumentException("column " + columnIndex + " contains a non supported type.");
117        }
118      }
119      return MissingValueIndicies[columnIndex];
120    }
121
122    private IList<int> GetMissingValueIndices<T>(int columnIndex) {
123      List<int> missingIndices = new List<int>();
124
125      for (int row = 0; row < preprocessingData.Rows; ++row) {
126        if (IsMissingValue(columnIndex, row)) {
127          missingIndices.Add(row);
128        }
129      }
130
131      return missingIndices;
132    }
133
134    public IEnumerable<T> GetValuesWithoutNaN<T>(int columnIndex, bool considerSelection) {
135      if (considerSelection) {
136        var selectedRows = preprocessingData.Selection[columnIndex];
137
138        List<T> values = new List<T>();
139        foreach (var rowIdx in selectedRows) {
140          if (!IsMissingValue(columnIndex, rowIdx)) {
141            values.Add(preprocessingData.GetCell<T>(columnIndex, rowIdx));
142          }
143        }
144        return values;
145      } else {
146        if (!ValuesWithoutNaN.ContainsKey(columnIndex)) {
147          List<T> values = new List<T>();
148
149          for (int row = 0; row < preprocessingData.Rows; ++row) {
150            if (!IsMissingValue(columnIndex, row)) {
151              values.Add(preprocessingData.GetCell<T>(columnIndex, row));
152            }
153          }
154
155          ValuesWithoutNaN[columnIndex] = values;
156        }
157        return (IEnumerable<T>)ValuesWithoutNaN[columnIndex];
158      }
159    }
160  }
161}
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