Index: Lib/random.py
===================================================================
--- Lib/random.py	(revision 83125)
+++ Lib/random.py	(working copy)
@@ -704,27 +704,48 @@
 # instantiate their own Random() instance.
 
 _inst = Random()
-seed = _inst.seed
-random = _inst.random
-uniform = _inst.uniform
-triangular = _inst.triangular
-randint = _inst.randint
-choice = _inst.choice
-randrange = _inst.randrange
-sample = _inst.sample
-shuffle = _inst.shuffle
-normalvariate = _inst.normalvariate
-lognormvariate = _inst.lognormvariate
-expovariate = _inst.expovariate
-vonmisesvariate = _inst.vonmisesvariate
-gammavariate = _inst.gammavariate
-gauss = _inst.gauss
-betavariate = _inst.betavariate
-paretovariate = _inst.paretovariate
-weibullvariate = _inst.weibullvariate
-getstate = _inst.getstate
-setstate = _inst.setstate
-getrandbits = _inst.getrandbits
+def seed(a=None):
+    return _inst.seed(a)
+def random():
+    return _inst.random()
+def uniform(a, b):
+    return _inst.uniform(a, b)
+def triangular(low=0.0, high=1.0, mode=None):
+    return _inst.triangular(low, high, mode)
+def randint(a, b):
+    return _inst.randint(a, b)
+def choice(seq):
+    return _inst.choice(seq)
+def randrange(start, stop=None, step=1, int=int, default=None, maxwidth=1<<BPF):
+    return _inst.randrange(start, stop, step, int, default, maxwidth)
+def sample(population, k):
+    return _inst.sample(population, k)
+def shuffle(x, random=None, int=int):
+    return _inst.shuffle(x, random, int)
+def normalvariate(mu, sigma):
+    return _inst.normalvariate(mu, sigma)
+def lognormvariate(mu, sigma):
+    return _inst.lognormvariate(mu, sigma)
+def expovariate(lambd):
+    return _inst.expovariate(lambd)
+def vonmisesvariate(mu, kappa):
+    return _inst.vonmisesvariate(mu, kappa)
+def gammavariate(alpha, beta):
+    return _inst.gammavariate(alpha, beta)
+def gauss(mu, sigma):
+    return _inst.gauss(mu, sigma)
+def betavariate(alpha, beta):
+    return _inst.betavariate(alpha, beta)
+def paretovariate(alpha):
+    return _inst.paretovariate(alpha)
+def weibullvariate(alpha, beta):
+    return _inst.weibullvariate(alpha, beta)
+def getstate():
+    return _inst.getstate()
+def setstate(state):
+    return _inst.setstate(state)
+def getrandbits(k):
+    return _inst.getrandbits(k)
 
 if __name__ == '__main__':
     _test()