X-Git-Url: http://source.jalview.org/gitweb/?a=blobdiff_plain;f=test%2Fjalview%2Fanalysis%2Fscoremodels%2FScoreModelsTest.java;h=0a3af64477fdb2616d0ece971da7c236d7c7ea1f;hb=164fb77632cc3c9a3b5f5ac5290eadec920ffbc6;hp=ffcd1a8cfa327b90ecce505169351a30cd1f17bf;hpb=136c0793b90b72b928c4d77dc109dd5c644e00d3;p=jalview.git

diff --git a/test/jalview/analysis/scoremodels/ScoreModelsTest.java b/test/jalview/analysis/scoremodels/ScoreModelsTest.java
index ffcd1a8..0a3af64 100644
--- a/test/jalview/analysis/scoremodels/ScoreModelsTest.java
+++ b/test/jalview/analysis/scoremodels/ScoreModelsTest.java
@@ -1,3 +1,23 @@
+/*
+ * Jalview - A Sequence Alignment Editor and Viewer ($$Version-Rel$$)
+ * Copyright (C) $$Year-Rel$$ The Jalview Authors
+ * 
+ * This file is part of Jalview.
+ * 
+ * Jalview 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.
+ *  
+ * Jalview 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 Jalview.  If not, see <http://www.gnu.org/licenses/>.
+ * The Jalview Authors are detailed in the 'AUTHORS' file.
+ */
 package jalview.analysis.scoremodels;
 
 import static org.testng.Assert.assertEquals;
@@ -32,29 +52,31 @@ public class ScoreModelsTest
     assertTrue(sm instanceof PairwiseScoreModelI);
     assertFalse(sm instanceof DistanceScoreModel);
     assertEquals(sm.getName(), "BLOSUM62");
-    assertEquals(((PairwiseScoreModelI) sm).getPairwiseScore('I', 'R'), -3f);
+    assertEquals(((PairwiseScoreModelI) sm).getPairwiseScore('I', 'R'),
+            -3f);
 
     sm = models.next();
     assertTrue(sm instanceof SimilarityScoreModel);
     assertTrue(sm instanceof PairwiseScoreModelI);
     assertFalse(sm instanceof DistanceScoreModel);
     assertEquals(sm.getName(), "PAM250");
-    assertEquals(((PairwiseScoreModelI) sm).getPairwiseScore('R', 'C'), -4f);
+    assertEquals(((PairwiseScoreModelI) sm).getPairwiseScore('R', 'C'),
+            -4f);
 
     sm = models.next();
     assertTrue(sm instanceof SimilarityScoreModel);
     assertTrue(sm instanceof PairwiseScoreModelI);
     assertFalse(sm instanceof DistanceScoreModel);
-    assertEquals(sm.getName(), "PID");
-    assertEquals(((PairwiseScoreModelI) sm).getPairwiseScore('R', 'C'), 0f);
-    assertEquals(((PairwiseScoreModelI) sm).getPairwiseScore('R', 'r'), 1f);
+    assertEquals(sm.getName(), "DNA");
+    assertEquals(((PairwiseScoreModelI) sm).getPairwiseScore('c', 'x'), 1f);
 
     sm = models.next();
     assertTrue(sm instanceof SimilarityScoreModel);
     assertTrue(sm instanceof PairwiseScoreModelI);
     assertFalse(sm instanceof DistanceScoreModel);
-    assertEquals(sm.getName(), "DNA");
-    assertEquals(((PairwiseScoreModelI) sm).getPairwiseScore('c', 'x'), 1f);
+    assertEquals(sm.getName(), "PID");
+    assertEquals(((PairwiseScoreModelI) sm).getPairwiseScore('R', 'C'), 0f);
+    assertEquals(((PairwiseScoreModelI) sm).getPairwiseScore('R', 'r'), 1f);
 
     sm = models.next();
     assertFalse(sm instanceof SimilarityScoreModel);