whitespace

diff --git a/src/openpower/decoder/isa/fastdct-test.py b/src/openpower/decoder/isa/fastdct-test.py
index a525be5fd1321640f34987290db89f2dcf2c48bc..07c655a6107dd48928cfdb24388eadb6a75101c6 100644 (file)
--- a/src/openpower/decoder/isa/fastdct-test.py
+++ b/src/openpower/decoder/isa/fastdct-test.py
@@ -7,18 +7,18 @@
 # Permission is hereby granted, free of charge, to any person obtaining a copy of
 # this software and associated documentation files (the "Software"), to deal in
 # the Software without restriction, including without limitation the rights to
-# use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of
-# the Software, and to permit persons to whom the Software is furnished to do so,
-# subject to the following conditions:
+# use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+# copies of the Software, and to permit persons to whom the Software is
+# furnished to do so, subject to the following conditions:
 # - The above copyright notice and this permission notice shall be included in
 #   all copies or substantial portions of the Software.
 # - The Software is provided "as is", without warranty of any kind, express or
 #   implied, including but not limited to the warranties of merchantability,
 #   fitness for a particular purpose and noninfringement. In no event shall the
 #   authors or copyright holders be liable for any claim, damages or other
-#   liability, whether in an action of contract, tort or otherwise, arising from,
-#   out of or in connection with the Software or the use or other dealings in the
-#   Software.
+#   liability, whether in an action of contract, tort or otherwise,
+#   arising from, out of or in connection with the Software or the use
+#   or other dealings in the Software.
 # 
 
 import math, random, unittest
@@ -52,7 +52,6 @@ class FastDctTest(unittest.TestCase):
                for (x, y) in zip(actual, expect):
                        self.assertAlmostEqual(x, y, delta=FastDctTest._EPSILON)
        
-       
        @staticmethod
        def random_vector(n):
                return [random.uniform(-1.0, 1.0) for _ in range(n)]