diff options
Diffstat (limited to 'Lib')
| -rw-r--r-- | Lib/test/test_math.py | 17 |
1 files changed, 12 insertions, 5 deletions
diff --git a/Lib/test/test_math.py b/Lib/test/test_math.py index 448110b..fff82fe 100644 --- a/Lib/test/test_math.py +++ b/Lib/test/test_math.py @@ -751,6 +751,10 @@ class MathTests(unittest.TestCase): self.assertEqual(1.0, math.copysign(1.0, hypot(-0.0)) # Convert negative zero to positive zero ) + self.assertEqual( # Handling of moving max to the end + hypot(1.5, 1.5, 0.5), + hypot(1.5, 0.5, 1.5), + ) # Test handling of bad arguments with self.assertRaises(TypeError): # Reject keyword args @@ -771,7 +775,7 @@ class MathTests(unittest.TestCase): self.assertEqual(hypot(-INF, -INF), INF) self.assertEqual(hypot(10, -INF), INF) - # If no infinity, any NaN gives a Nan. + # If no infinity, any NaN gives a NaN. self.assertTrue(math.isnan(hypot(NAN))) self.assertTrue(math.isnan(hypot(0, NAN))) self.assertTrue(math.isnan(hypot(NAN, 10))) @@ -831,9 +835,13 @@ class MathTests(unittest.TestCase): self.assertEqual(1.0, # Convert negative zero to positive zero math.copysign(1.0, dist((0.0,), (-0.0,))) ) + self.assertEqual( # Handling of moving max to the end + dist((1.5, 1.5, 0.5), (0, 0, 0)), + dist((1.5, 0.5, 1.5), (0, 0, 0)) + ) # Verify tuple subclasses are allowed - class T(tuple): # tuple subclas + class T(tuple): pass self.assertEqual(dist(T((1, 2, 3)), ((4, 2, -1))), 5.0) @@ -855,8 +863,7 @@ class MathTests(unittest.TestCase): with self.assertRaises(ValueError): # Check dimension agree dist((1, 2, 3), (4, 5, 6, 7)) - - # Verify that the one dimensional case equivalent to abs() + # Verify that the one dimensional case is equivalent to abs() for i in range(20): p, q = random.random(), random.random() self.assertEqual(dist((p,), (q,)), abs(p - q)) @@ -870,7 +877,7 @@ class MathTests(unittest.TestCase): # Any infinite difference gives positive infinity. self.assertEqual(dist(p, q), INF) elif any(map(math.isnan, diffs)): - # If no infinity, any NaN gives a Nan. + # If no infinity, any NaN gives a NaN. self.assertTrue(math.isnan(dist(p, q))) # Verify scaling for extremely large values |