JAL-3438 spotless for 2.11.2.0

[jalview.git] / src / jalview / analysis / AlignSeq.java

diff --git a/src/jalview/analysis/AlignSeq.java b/src/jalview/analysis/AlignSeq.java
index 2fb6ce1..65fd110 100755 (executable)
--- a/src/jalview/analysis/AlignSeq.java
+++ b/src/jalview/analysis/AlignSeq.java
@@ -150,7 +150,8 @@ public class AlignSeq
   public AlignSeq(SequenceI s1, String string1, SequenceI s2,
           String string2, String type)
   {
-    seqInit(s1, string1.toUpperCase(Locale.ROOT), s2, string2.toUpperCase(Locale.ROOT), type);
+    seqInit(s1, string1.toUpperCase(Locale.ROOT), s2,
+            string2.toUpperCase(Locale.ROOT), type);
   }
 
   /**
@@ -645,12 +646,14 @@ public class AlignSeq
     for (int j = 1; j < m; j++)
     {
       // What should these values be? 0 maybe
-      E[0][j] = max(score[0][j - 1] - GAP_OPEN_COST, E[0][j - 1] - GAP_EXTEND_COST);
+      E[0][j] = max(score[0][j - 1] - GAP_OPEN_COST,
+              E[0][j - 1] - GAP_EXTEND_COST);
       F[0][j] = -GAP_EXTEND_COST;
 
       float pairwiseScore = scoreMatrix.getPairwiseScore(s1str.charAt(0),
               s2str.charAt(j));
-      score[0][j] = max(pairwiseScore * 10, -GAP_OPEN_COST, -GAP_EXTEND_COST);
+      score[0][j] = max(pairwiseScore * 10, -GAP_OPEN_COST,
+              -GAP_EXTEND_COST);
 
       traceback[0][j] = 1;
     }
@@ -659,7 +662,8 @@ public class AlignSeq
     for (int i = 1; i < n; i++)
     {
       E[i][0] = -GAP_OPEN_COST;
-      F[i][0] = max(score[i - 1][0] - GAP_OPEN_COST, F[i - 1][0] - GAP_EXTEND_COST);
+      F[i][0] = max(score[i - 1][0] - GAP_OPEN_COST,
+              F[i - 1][0] - GAP_EXTEND_COST);
 
       float pairwiseScore = scoreMatrix.getPairwiseScore(s1str.charAt(i),
               s2str.charAt(0));
@@ -672,8 +676,10 @@ public class AlignSeq
     {
       for (int j = 1; j < m; j++)
       {
-        E[i][j] = max(score[i][j - 1] - GAP_OPEN_COST, E[i][j - 1] - GAP_EXTEND_COST);
-        F[i][j] = max(score[i - 1][j] - GAP_OPEN_COST, F[i - 1][j] - GAP_EXTEND_COST);
+        E[i][j] = max(score[i][j - 1] - GAP_OPEN_COST,
+                E[i][j - 1] - GAP_EXTEND_COST);
+        F[i][j] = max(score[i - 1][j] - GAP_OPEN_COST,
+                F[i - 1][j] - GAP_EXTEND_COST);
 
         float pairwiseScore = scoreMatrix.getPairwiseScore(s1str.charAt(i),
                 s2str.charAt(j));