diff --git a/Lib/random.py b/Lib/random.py
index 72822f2..af788c6 100644
--- a/Lib/random.py
+++ b/Lib/random.py
@@ -445,14 +445,14 @@
 ## -------------------- gamma distribution --------------------
 
     def gammavariate(self, alpha, beta):
-        
+
         # alpha > 0, beta > 0, mean is alpha*beta, variance is alpha*beta**2
-        
+
         # Warning: a few older sources define the gamma distribution in terms
         # of alpha > -1.0
         if alpha <= 0.0 or beta <= 0.0:
             raise ValueError, 'gammavariate: alpha and beta must be > 0.0'
-        
+
         random = self.random
         if alpha > 1.0:
 
@@ -463,7 +463,7 @@
             ainv = _sqrt(2.0 * alpha - 1.0)
             bbb = alpha - LOG4
             ccc = alpha + ainv
-            
+
             while 1:
                 u1 = random()
                 u2 = random()
@@ -630,7 +630,7 @@
     _test_generator(N, 'vonmisesvariate(0.0, 1.0)')
     _test_generator(N, 'gammavariate(0.01, 1.0)')
     _test_generator(N, 'gammavariate(0.1, 1.0)')
-    _test_generator(N, 'gammavariate(0.1, 2.0)')    
+    _test_generator(N, 'gammavariate(0.1, 2.0)')
     _test_generator(N, 'gammavariate(0.5, 1.0)')
     _test_generator(N, 'gammavariate(0.9, 1.0)')
     _test_generator(N, 'gammavariate(1.0, 1.0)')