*/
package jalview.analysis.scoremodels;
+import static org.testng.Assert.assertEquals;
+import static org.testng.Assert.assertTrue;
+
+import jalview.api.analysis.SimilarityParamsI;
+import jalview.datamodel.Alignment;
import jalview.datamodel.AlignmentI;
+import jalview.datamodel.AlignmentView;
+import jalview.datamodel.Sequence;
import jalview.datamodel.SequenceFeature;
import jalview.datamodel.SequenceI;
import jalview.gui.AlignFrame;
+import jalview.gui.AlignViewport;
import jalview.gui.JvOptionPane;
import jalview.io.DataSourceType;
import jalview.io.FileLoader;
+import jalview.math.MatrixI;
import java.util.Arrays;
import org.testng.annotations.BeforeClass;
import org.testng.annotations.Test;
-public class FeatureScoreModelTest
+public class FeatureDistanceModelTest
{
@BeforeClass(alwaysRun = true)
int[] sf3 = new int[] { -1, -1, -1, -1, -1, -1, 76, 77 };
+ /**
+ * <pre>
+ * Load test alignment and add features to sequences:
+ * FER1_MESCR FER1_SPIOL FER3_RAPSA FER1_MAIZE
+ * sf1 X X X
+ * sf2 X X
+ * sf3 X
+ * </pre>
+ *
+ * @return
+ */
public AlignFrame getTestAlignmentFrame()
{
AlignFrame alf = new FileLoader(false).LoadFileWaitTillLoaded(
alf.getFeatureRenderer().findAllFeatures(true);
Assert.assertEquals(alf.getFeatureRenderer().getDisplayedFeatureTypes()
.size(), 3, "Number of feature types");
- Assert.assertTrue(alf.getCurrentView().areFeaturesDisplayed());
+ assertTrue(alf.getCurrentView().areFeaturesDisplayed());
return alf;
}
public void testFeatureScoreModel() throws Exception
{
AlignFrame alf = getTestAlignmentFrame();
- FeatureScoreModel fsm = new FeatureScoreModel();
- Assert.assertTrue(fsm.configureFromAlignmentView(alf.getCurrentView()
+ FeatureDistanceModel fsm = new FeatureDistanceModel();
+ assertTrue(fsm.configureFromAlignmentView(alf.getCurrentView()
.getAlignPanel()));
alf.selectAllSequenceMenuItem_actionPerformed(null);
- float[][] dm = fsm.findDistances(alf.getViewport().getAlignmentView(
- true));
- Assert.assertTrue(dm[0][2] == 0f,
+
+ MatrixI dm = fsm.findDistances(
+ alf.getViewport().getAlignmentView(true),
+ SimilarityParams.Jalview);
+ assertEquals(dm.getValue(0, 2), 0d,
"FER1_MESCR (0) should be identical with RAPSA (2)");
- Assert.assertTrue(dm[0][1] > dm[0][2],
+ assertTrue(dm.getValue(0, 1) > dm.getValue(0, 2),
"FER1_MESCR (0) should be further from SPIOL (1) than it is from RAPSA (2)");
}
AlignFrame alf = getTestAlignmentFrame();
// hiding first two columns shouldn't affect the tree
alf.getViewport().hideColumns(0, 1);
- FeatureScoreModel fsm = new FeatureScoreModel();
- Assert.assertTrue(fsm.configureFromAlignmentView(alf.getCurrentView()
+ FeatureDistanceModel fsm = new FeatureDistanceModel();
+ assertTrue(fsm.configureFromAlignmentView(alf.getCurrentView()
.getAlignPanel()));
alf.selectAllSequenceMenuItem_actionPerformed(null);
- float[][] dm = fsm.findDistances(alf.getViewport().getAlignmentView(
- true));
- Assert.assertTrue(dm[0][2] == 0f,
+ MatrixI dm = fsm.findDistances(
+ alf.getViewport().getAlignmentView(true),
+ SimilarityParams.Jalview);
+ assertEquals(dm.getValue(0, 2), 0d,
"FER1_MESCR (0) should be identical with RAPSA (2)");
- Assert.assertTrue(dm[0][1] > dm[0][2],
+ assertTrue(dm.getValue(0, 1) > dm.getValue(0, 2),
"FER1_MESCR (0) should be further from SPIOL (1) than it is from RAPSA (2)");
}
// hide columns and check tree changes
alf.getViewport().hideColumns(3, 4);
alf.getViewport().hideColumns(0, 1);
- FeatureScoreModel fsm = new FeatureScoreModel();
- Assert.assertTrue(fsm.configureFromAlignmentView(alf.getCurrentView()
+ FeatureDistanceModel fsm = new FeatureDistanceModel();
+ assertTrue(fsm.configureFromAlignmentView(alf.getCurrentView()
.getAlignPanel()));
alf.selectAllSequenceMenuItem_actionPerformed(null);
- float[][] dm = fsm.findDistances(alf.getViewport().getAlignmentView(
- true));
- Assert.assertTrue(
- dm[0][2] == 0f,
+ MatrixI dm = fsm.findDistances(
+ alf.getViewport().getAlignmentView(true),
+ SimilarityParams.Jalview);
+ assertEquals(
+ dm.getValue(0, 2),
+ 0d,
"After hiding last two columns FER1_MESCR (0) should still be identical with RAPSA (2)");
- Assert.assertTrue(
- dm[0][1] == 0f,
+ assertEquals(
+ dm.getValue(0, 1),
+ 0d,
"After hiding last two columns FER1_MESCR (0) should now also be identical with SPIOL (1)");
for (int s = 0; s < 3; s++)
{
- Assert.assertTrue(dm[s][3] > 0f, "After hiding last two columns "
+ assertTrue(dm.getValue(s, 3) > 0d, "After hiding last two columns "
+ alf.getViewport().getAlignment().getSequenceAt(s).getName()
+ "(" + s + ") should still be distinct from FER1_MAIZE (3)");
}
SequenceFeature sf = null;
sf = new SequenceFeature("disulphide bond", "", 2, 5, Float.NaN, "");
aseq.addSequenceFeature(sf);
- Assert.assertTrue(sf.isContactFeature());
+ assertTrue(sf.isContactFeature());
af.refreshFeatureUI(true);
af.getFeatureRenderer().setAllVisible(Arrays.asList("disulphide bond"));
Assert.assertEquals(af.getFeatureRenderer().getDisplayedFeatureTypes()
.size(), 0);
}
+ @Test(groups = { "Functional" })
+ public void testFindDistances() throws Exception
+ {
+ String seqs = ">s1\nABCDE\n>seq2\nABCDE\n";
+ AlignFrame alf = new FileLoader().LoadFileWaitTillLoaded(seqs,
+ DataSourceType.PASTE);
+ SequenceI s1 = alf.getViewport().getAlignment().getSequenceAt(0);
+ SequenceI s2 = alf.getViewport().getAlignment().getSequenceAt(1);
+
+ /*
+ * set domain and variant features thus:
+ * ----5
+ * s1 ddd..
+ * s1 .vvv.
+ * s1 ..vvv
+ * s2 .ddd.
+ * s2 vv..v
+ * The number of unshared feature types per column is
+ * 20120 (two features of the same type doesn't affect score)
+ * giving an average (pairwise distance) of 5/5 or 1.0
+ */
+ s1.addSequenceFeature(new SequenceFeature("domain", null, 1, 3, 0f,
+ null));
+ s1.addSequenceFeature(new SequenceFeature("variant", null, 2, 4, 0f,
+ null));
+ s1.addSequenceFeature(new SequenceFeature("variant", null, 3, 5, 0f,
+ null));
+ s2.addSequenceFeature(new SequenceFeature("domain", null, 2, 4, 0f,
+ null));
+ s2.addSequenceFeature(new SequenceFeature("variant", null, 1, 2, 0f,
+ null));
+ s2.addSequenceFeature(new SequenceFeature("variant", null, 5, 5, 0f,
+ null));
+ alf.setShowSeqFeatures(true);
+ alf.getFeatureRenderer().findAllFeatures(true);
+
+ FeatureDistanceModel fsm = new FeatureDistanceModel();
+ assertTrue(fsm.configureFromAlignmentView(alf.getCurrentView()
+ .getAlignPanel()));
+ alf.selectAllSequenceMenuItem_actionPerformed(null);
+
+ MatrixI distances = fsm.findDistances(alf.getViewport()
+ .getAlignmentView(true), SimilarityParams.Jalview);
+ assertEquals(distances.width(), 2);
+ assertEquals(distances.height(), 2);
+ assertEquals(distances.getValue(0, 0), 0d);
+ assertEquals(distances.getValue(1, 1), 0d);
+
+ assertEquals(distances.getValue(0, 1), 1d,
+ "expected identical pairs. (check normalisation for similarity score)");
+ assertEquals(distances.getValue(1, 0), 1d);
+ }
+
+ /**
+ * Verify computed distances with varying parameter options
+ */
+ @Test(groups = "Functional")
+ public void testFindDistances_withParams()
+ {
+ AlignFrame af = setupAlignmentView();
+ AlignViewport viewport = af.getViewport();
+ AlignmentView view = viewport.getAlignmentView(false);
+
+ FeatureDistanceModel sm = new FeatureDistanceModel();
+ sm.configureFromAlignmentView(af.alignPanel);
+
+ /*
+ * feature distance model always normalises by region width
+ * gap-gap is always included (but scores zero)
+ * the only variable parameter is 'includeGaps'
+ */
+
+ /*
+ * include gaps
+ * score = 3 + 3 + 0 + 2 + 3 + 2 = 13/6
+ */
+ SimilarityParamsI params = new SimilarityParams(true, true, true, true);
+ MatrixI distances = sm.findDistances(view, params);
+ assertEquals(distances.getValue(0, 0), 0d);
+ assertEquals(distances.getValue(1, 1), 0d);
+ assertEquals(distances.getValue(0, 1), 13d / 6); // should be 13d/6
+ assertEquals(distances.getValue(1, 0), 13d / 6);
+
+ /*
+ * exclude gaps
+ * score = 3 + 3 + 0 + 0 + 0 + 0 = 6/6
+ */
+ params = new SimilarityParams(true, true, false, true);
+ distances = sm.findDistances(view, params);
+ assertEquals(distances.getValue(0, 1), 6d / 6);// should be 6d/6
+ }
+
+ /**
+ * <pre>
+ * Set up
+ * column 1 2 3 4 5 6
+ * seq s1 F R - K - S
+ * seq s2 F S - - L
+ * s1 chain c c c c
+ * s1 domain d d d d
+ * s2 chain c c c
+ * s2 metal m m m
+ * s2 Pfam P P P
+ * scores: 3 3 0 2 3 2
+ * </pre>
+ *
+ * @return
+ */
+ protected AlignFrame setupAlignmentView()
+ {
+ /*
+ * for now, using space for gap to match callers of
+ * AlignmentView.getSequenceStrings()
+ * may change this to '-' (with corresponding change to matrices)
+ */
+ SequenceI s1 = new Sequence("s1", "FR K S");
+ SequenceI s2 = new Sequence("s2", "FS L");
+
+ s1.addSequenceFeature(new SequenceFeature("chain", null, 1, 4, 0f, null));
+ s1.addSequenceFeature(new SequenceFeature("domain", null, 1, 4, 0f,
+ null));
+ s2.addSequenceFeature(new SequenceFeature("chain", null, 1, 3, 0f, null));
+ s2.addSequenceFeature(new SequenceFeature("metal", null, 1, 3, 0f, null));
+ s2.addSequenceFeature(new SequenceFeature("Pfam", null, 1, 3, 0f, null));
+ AlignmentI al = new Alignment(new SequenceI[] { s1, s2 });
+ AlignFrame af = new AlignFrame(al, 300, 300);
+ af.setShowSeqFeatures(true);
+ af.getFeatureRenderer().findAllFeatures(true);
+ return af;
+ }
+
}
git://source.jalview.org / jalview.git / blobdiff