Revert changes for #13355 by request from Raymond Hettinger

1 files changed, 1 insertions, 28 deletions

diff --git a/Lib/test/test_random.py b/Lib/test/test_random.py
index 75e1afc..3316415 100644
--- a/Lib/test/test_random.py
+++ b/Lib/test/test_random.py
@@ -43,33 +43,6 @@ class TestBasicOps(unittest.TestCase):
         self.assertRaises(TypeError, self.gen.seed, 1, 2)
         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_jumpahead(self):
         self.gen.seed()
         state1 = self.gen.getstate()
@@ -570,7 +543,7 @@ class TestDistributions(unittest.TestCase):
         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),