Classes

Class	Line #	Total Statements	Complexity	TOTAL Coverage	Actions
PCAModel	35	5	5	0.00%	Show methods

Class PCAModel

Class PCAModel	Line # 35	Total Statements 5	Complexity 5	TOTAL Coverage 0.00%
constructModel() : PCA   constructModel() : PCA	3737	1.01	1.01	0.0 0.00%
PCAModel(AlignmentView,SequenceI[],boolean,ScoreModelI,SimilarityParamsI)   PCAModel(AlignmentView,SequenceI[],boolean,ScoreModelI,SimilarityParamsI)	4242	1.01	1.01	0.0 0.00%
setInputData(AlignmentView) : void   setInputData(AlignmentView) : void	4747	1.01	1.01	0.0 0.00%
getPcaData() : PCA   getPcaData() : PCA	5151	1.01	1.01	0.0 0.00%
setPCA(PCA) : void   setPCA(PCA) : void	5555	1.01	1.01	0.0 0.00%

 

Contributing 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.viewmodel;
22
23		import jalview.analysis.PCA;
24		import jalview.api.RotatableCanvasI;
25		import jalview.api.analysis.ScoreModelI;
26		import jalview.api.analysis.SimilarityParamsI;
27		import jalview.datamodel.AlignmentView;
28		import jalview.datamodel.Point;
29		import jalview.datamodel.SequenceI;
30		import jalview.datamodel.SequencePoint;
31
32		import java.util.List;
33		import java.util.Vector;
34
		0% Uncovered Elements: 10 (10) Complexity: 5 Complexity Density: 1
35		public class PCAModel extends SpatialModel<PCA>
36		{
		0% Uncovered Elements: 1 (1) Complexity: 1 Complexity Density: 1
37	0	@Override...
38		public PCA constructModel()
39		{
40	0	return new PCA(inputData,scoreModel,similarityParams);
41		}
		0% Uncovered Elements: 1 (1) Complexity: 1 Complexity Density: 1
42	0	public PCAModel(AlignmentView seqData, SequenceI[] sqs, boolean nuc,...
43		ScoreModelI modelName, SimilarityParamsI params)
44		{
45	0	super(null, seqData,sqs, nuc,modelName, params);
46		}
		0% Uncovered Elements: 1 (1) Complexity: 1 Complexity Density: 1
47	0	public void setInputData(AlignmentView data)...
48		{
49	0	inputData = data;
50		}
		0% Uncovered Elements: 1 (1) Complexity: 1 Complexity Density: 1
51	0	public PCA getPcaData()...
52		{
53	0	return outputModel;
54		}
		0% Uncovered Elements: 1 (1) Complexity: 1 Complexity Density: 1
55	0	public void setPCA(PCA pca)...
56		{
57	0	outputModel = pca;
58		}
59		}