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Coverage Report

  1. Project Clover database Mon Nov 11 2024 15:05:32 GMT
  2. Package jalview.analysis.scoremodels

File SimilarityScoreModel.java

 

Coverage histogram

../../../img/srcFileCovDistChart5.png
43% of files have more coverage

Code metrics

0
6
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63
22
2
0.33
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Classes

Class Line # Actions
SimilarityScoreModel 28 6 2
0.550%
 

Contributing tests

This file is covered by 3 tests. .

Source view

1    /*
2    * Jalview - A Sequence Alignment Editor and Viewer ($$Version-Rel$$)
3    * Copyright (C) $$Year-Rel$$ The Jalview Authors
4    *
5    * This file is part of Jalview.
6    *
7    * Jalview is free software: you can redistribute it and/or
8    * modify it under the terms of the GNU General Public License
9    * as published by the Free Software Foundation, either version 3
10    * of the License, or (at your option) any later version.
11    *
12    * Jalview is distributed in the hope that it will be useful, but
13    * WITHOUT ANY WARRANTY; without even the implied warranty
14    * of MERCHANTABILITY or FITNESS FOR A PARTICULAR
15    * PURPOSE. See the GNU General Public License for more details.
16    *
17    * You should have received a copy of the GNU General Public License
18    * along with Jalview. If not, see <http://www.gnu.org/licenses/>.
19    * The Jalview Authors are detailed in the 'AUTHORS' file.
20    */
21    package jalview.analysis.scoremodels;
22   
23    import jalview.api.analysis.ScoreModelI;
24    import jalview.api.analysis.SimilarityParamsI;
25    import jalview.datamodel.AlignmentView;
26    import jalview.math.MatrixI;
27   
 
28    public abstract class SimilarityScoreModel implements ScoreModelI
29    {
30   
31    /**
32    * Computed similarity scores are converted to distance scores by subtracting
33    * every value from the maximum value. That is, maximum similarity corresponds
34    * to zero distance, and smaller similarities to larger distances.
35    */
 
36  0 toggle @Override
37    public MatrixI findDistances(AlignmentView seqData,
38    SimilarityParamsI options)
39    {
40  0 MatrixI similarities = findSimilarities(seqData, options);
41   
42  0 MatrixI distances = similarityToDistance(similarities);
43   
44  0 return distances;
45    }
46   
47    /**
48    * Converts a matrix of similarity scores to distance scores, by reversing the
49    * range of the scores, mapping the maximum to zero. The input matrix is not
50    * modified.
51    *
52    * @param similarities
53    */
 
54  6 toggle public static MatrixI similarityToDistance(MatrixI similarities)
55    {
56  6 MatrixI distances = similarities.copy();
57   
58  6 distances.reverseRange(true);
59   
60  6 return distances;
61    }
62   
63    }