X-Git-Url: http://source.jalview.org/gitweb/?p=jalview.git;a=blobdiff_plain;f=test%2Fjalview%2Fanalysis%2Fscoremodels%2FScoreMatrixTest.java;fp=test%2Fjalview%2Fanalysis%2Fscoremodels%2FScoreMatrixTest.java;h=be8b45d385e3e7984f65f7695eecbe6f7e9f074f;hp=15bdce1784005587479d8be6649afe4042574ffa;hb=d68d427703088222c2ca6f5968affd5932143eaf;hpb=e7338a61f3ce96dadf44ac80b2b32cc5ba4b94c8

diff --git a/test/jalview/analysis/scoremodels/ScoreMatrixTest.java b/test/jalview/analysis/scoremodels/ScoreMatrixTest.java
index 15bdce1..be8b45d 100644
--- a/test/jalview/analysis/scoremodels/ScoreMatrixTest.java
+++ b/test/jalview/analysis/scoremodels/ScoreMatrixTest.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;
@@ -670,7 +690,8 @@ public class ScoreMatrixTest
     String[] seqs2 = new String[] { seq2, seq1 };
     MatrixI res2 = sm.findSimilarities(seqs2, params);
     assertFalse(res1.equals(res2));
-    assertTrue(res2.equals(new Matrix(new double[][]
+    assertTrue(
+            res2.equals(new Matrix(new double[][]
             { { 16d, 3d }, { 3d, 14d } }), delta));
 
     /*
@@ -684,7 +705,8 @@ public class ScoreMatrixTest
     sm = new ScoreMatrix("Test", "AB".toCharArray(), scores);
     assertFalse(sm.isSymmetric()); // [0, 1] != [1, 0]
     res1 = sm.findSimilarities(seqs1, params);
-    assertTrue(res1.equals(new Matrix(new double[][]
+    assertTrue(
+            res1.equals(new Matrix(new double[][]
             { { 14d, 7d }, { 11d, 16d } }), delta));
 
     /*