Whitespace normalization.
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)')