Raise statement normalization in Lib/.

1 files changed, 9 insertions, 9 deletions

diff --git a/Lib/random.py b/Lib/random.py
index 8a47178..e2bfcfd 100644
--- a/Lib/random.py
+++ b/Lib/random.py
@@ -157,18 +157,18 @@ class Random(_random.Random):
         # common case while still doing adequate error checking.
         istart = int(start)
         if istart != start:
-            raise ValueError, "non-integer arg 1 for randrange()"
+            raise ValueError("non-integer arg 1 for randrange()")
         if stop is default:
             if istart > 0:
                 if istart >= maxwidth:
                     return self._randbelow(istart)
                 return int(self.random() * istart)
-            raise ValueError, "empty range for randrange()"
+            raise ValueError("empty range for randrange()")
 
         # stop argument supplied.
         istop = int(stop)
         if istop != stop:
-            raise ValueError, "non-integer stop for randrange()"
+            raise ValueError("non-integer stop for randrange()")
         width = istop - istart
         if step == 1 and width > 0:
             # Note that
@@ -188,21 +188,21 @@ class Random(_random.Random):
                 return int(istart + self._randbelow(width))
             return int(istart + int(self.random()*width))
         if step == 1:
-            raise ValueError, "empty range for randrange() (%d,%d, %d)" % (istart, istop, width)
+            raise ValueError("empty range for randrange() (%d,%d, %d)" % (istart, istop, width))
 
         # Non-unit step argument supplied.
         istep = int(step)
         if istep != step:
-            raise ValueError, "non-integer step for randrange()"
+            raise ValueError("non-integer step for randrange()")
         if istep > 0:
             n = (width + istep - 1) // istep
         elif istep < 0:
             n = (width + istep + 1) // istep
         else:
-            raise ValueError, "zero step for randrange()"
+            raise ValueError("zero step for randrange()")
 
         if n <= 0:
-            raise ValueError, "empty range for randrange()"
+            raise ValueError("empty range for randrange()")
 
         if n >= maxwidth:
             return istart + istep*self._randbelow(n)
@@ -300,7 +300,7 @@ class Random(_random.Random):
 
         n = len(population)
         if not 0 <= k <= n:
-            raise ValueError, "sample larger than population"
+            raise ValueError("sample larger than population")
         random = self.random
         _int = int
         result = [None] * k
@@ -459,7 +459,7 @@ class Random(_random.Random):
         # 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'
+            raise ValueError('gammavariate: alpha and beta must be > 0.0')
 
         random = self.random
         if alpha > 1.0: