self.assertRaises(TypeError, self.gen.seed, 1, 2, 3, 4)
self.assertRaises(TypeError, type(self.gen), [])
+ def test_triangular(self):
+ # Check that triangular() correctly handles bad input. See issue 13355.
+
+ # mode > high.
+ with self.assertRaises(ValueError):
+ random.triangular(mode=2)
+ with self.assertRaises(ValueError):
+ random.triangular(low=1, high=10, mode=11)
+ with self.assertRaises(ValueError):
+ random.triangular(low=1, high=1, mode=11)
+
+ # mode < low.
+ with self.assertRaises(ValueError):
+ random.triangular(mode=-1)
+ with self.assertRaises(ValueError):
+ random.triangular(low=1, high=10, mode=0)
+ with self.assertRaises(ValueError):
+ random.triangular(low=1, high=1, mode=0)
+
+ # low > high
+ with self.assertRaises(ValueError):
+ random.triangular(low=5, high=2)
+ with self.assertRaises(ValueError):
+ random.triangular(low=5, high=2, mode=1)
+ with self.assertRaises(ValueError):
+ random.triangular(low=-2, high=-5)
+
+ self.assertEqual(random.triangular(low=10, high=10), 10)
+ self.assertEqual(random.triangular(low=10, high=10, mode=10), 10)
+
def test_choice(self):
choice = self.gen.choice
with self.assertRaises(IndexError):
for variate, args, expected in [
(g.uniform, (10.0, 10.0), 10.0),
(g.triangular, (10.0, 10.0), 10.0),
- #(g.triangular, (10.0, 10.0, 10.0), 10.0),
+ (g.triangular, (10.0, 10.0, 10.0), 10.0),
(g.expovariate, (float('inf'),), 0.0),
(g.vonmisesvariate, (3.0, float('inf')), 3.0),
(g.gauss, (10.0, 0.0), 10.0),