JAL-3438 spotless for 2.11.2.0

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

diff --git a/src/jalview/analysis/PCA.java b/src/jalview/analysis/PCA.java
index 4a3cfec..5cc81a8 100755 (executable)
--- a/src/jalview/analysis/PCA.java
+++ b/src/jalview/analysis/PCA.java
@@ -60,7 +60,8 @@ public class PCA implements Runnable
    * @param sm
    * @param options
    */
-  public PCA(AlignmentView sequences, ScoreModelI sm, SimilarityParamsI options)
+  public PCA(AlignmentView sequences, ScoreModelI sm,
+          SimilarityParamsI options)
   {
     this.seqs = sequences;
     this.scoreModel = sm;
@@ -164,13 +165,13 @@ public class PCA implements Runnable
     sb.append("PCA calculation using ").append(scoreModel.getName())
             .append(" sequence similarity matrix\n========\n\n");
     PrintStream ps = wrapOutputBuffer(sb);
-    
+
     /*
      * pairwise similarity scores
      */
     sb.append(" --- OrigT * Orig ---- \n");
     pairwiseScores.print(ps, "%8.2f");
-    
+
     /*
      * tridiagonal matrix, with D and E vectors
      */
@@ -181,7 +182,7 @@ public class PCA implements Runnable
     sb.append("--- E vector ---\n");
     tridiagonal.printE(ps, "%15.4e");
     ps.println();
-    
+
     /*
      * eigenvalues matrix, with D vector
      */
@@ -190,7 +191,7 @@ public class PCA implements Runnable
     sb.append(" --- Eigenvalues ---\n");
     eigenMatrix.printD(ps, "%15.4e");
     ps.println();
-    
+
     return sb.toString();
   }