Eliminate unnecessary eval() in tests

Lib/random.py

@@ -687,17 +687,16 @@ class WichmannHill(Random):
 
 ## -------------------- test program --------------------
 
-def _test_generator(n, funccall):
+def _test_generator(n, func, args):
     import time
-    print n, 'times', funccall
-    code = compile(funccall, funccall, 'eval')
+    print n, 'times', func.__name__
     total = 0.0
     sqsum = 0.0
     smallest = 1e10
     largest = -1e10
     t0 = time.time()
     for i in range(n):
-        x = eval(code)
+        x = func(*args)
         total += x
         sqsum = sqsum + x*x
         smallest = min(x, smallest)
@@ -711,21 +710,21 @@ def _test_generator(n, funccall):
 
 
 def _test(N=2000):
-    _test_generator(N, 'random()')
-    _test_generator(N, 'normalvariate(0.0, 1.0)')
-    _test_generator(N, 'lognormvariate(0.0, 1.0)')
-    _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(0.5, 1.0)')
-    _test_generator(N, 'gammavariate(0.9, 1.0)')
-    _test_generator(N, 'gammavariate(1.0, 1.0)')
-    _test_generator(N, 'gammavariate(2.0, 1.0)')
-    _test_generator(N, 'gammavariate(20.0, 1.0)')
-    _test_generator(N, 'gammavariate(200.0, 1.0)')
-    _test_generator(N, 'gauss(0.0, 1.0)')
-    _test_generator(N, 'betavariate(3.0, 3.0)')
+    _test_generator(N, random, ())
+    _test_generator(N, normalvariate, (0.0, 1.0))
+    _test_generator(N, lognormvariate, (0.0, 1.0))
+    _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, (0.5, 1.0))
+    _test_generator(N, gammavariate, (0.9, 1.0))
+    _test_generator(N, gammavariate, (1.0, 1.0))
+    _test_generator(N, gammavariate, (2.0, 1.0))
+    _test_generator(N, gammavariate, (20.0, 1.0))
+    _test_generator(N, gammavariate, (200.0, 1.0))
+    _test_generator(N, gauss, (0.0, 1.0))
+    _test_generator(N, betavariate, (3.0, 3.0))
 
 # Create one instance, seeded from current time, and export its methods
 # as module-level functions.  The functions share state across all uses