diff options
Diffstat (limited to 'Lib/test')
| -rw-r--r-- | Lib/test/test_statistics.py | 28 |
1 files changed, 14 insertions, 14 deletions
diff --git a/Lib/test/test_statistics.py b/Lib/test/test_statistics.py index 436c420149..adccfad7b8 100644 --- a/Lib/test/test_statistics.py +++ b/Lib/test/test_statistics.py @@ -1247,20 +1247,14 @@ class TestSum(NumericTestCase): # Override test for empty data. for data in ([], (), iter([])): self.assertEqual(self.func(data), (int, Fraction(0), 0)) - self.assertEqual(self.func(data, 23), (int, Fraction(23), 0)) - self.assertEqual(self.func(data, 2.3), (float, Fraction(2.3), 0)) def test_ints(self): self.assertEqual(self.func([1, 5, 3, -4, -8, 20, 42, 1]), (int, Fraction(60), 8)) - self.assertEqual(self.func([4, 2, 3, -8, 7], 1000), - (int, Fraction(1008), 5)) def test_floats(self): self.assertEqual(self.func([0.25]*20), (float, Fraction(5.0), 20)) - self.assertEqual(self.func([0.125, 0.25, 0.5, 0.75], 1.5), - (float, Fraction(3.125), 4)) def test_fractions(self): self.assertEqual(self.func([Fraction(1, 1000)]*500), @@ -1281,14 +1275,6 @@ class TestSum(NumericTestCase): data = [random.uniform(-100, 1000) for _ in range(1000)] self.assertApproxEqual(float(self.func(data)[1]), math.fsum(data), rel=2e-16) - def test_start_argument(self): - # Test that the optional start argument works correctly. - data = [random.uniform(1, 1000) for _ in range(100)] - t = self.func(data)[1] - self.assertEqual(t+42, self.func(data, 42)[1]) - self.assertEqual(t-23, self.func(data, -23)[1]) - self.assertEqual(t+Fraction(1e20), self.func(data, 1e20)[1]) - def test_strings_fail(self): # Sum of strings should fail. self.assertRaises(TypeError, self.func, [1, 2, 3], '999') @@ -2077,6 +2063,13 @@ class TestPVariance(VarianceStdevMixin, NumericTestCase, UnivariateTypeMixin): self.assertEqual(result, exact) self.assertIsInstance(result, Decimal) + def test_accuracy_bug_20499(self): + data = [0, 0, 1] + exact = 2 / 9 + result = self.func(data) + self.assertEqual(result, exact) + self.assertIsInstance(result, float) + class TestVariance(VarianceStdevMixin, NumericTestCase, UnivariateTypeMixin): # Tests for sample variance. @@ -2117,6 +2110,13 @@ class TestVariance(VarianceStdevMixin, NumericTestCase, UnivariateTypeMixin): self.assertEqual(self.func(data), 0.5) self.assertEqual(self.func(data, xbar=2.0), 1.0) + def test_accuracy_bug_20499(self): + data = [0, 0, 2] + exact = 4 / 3 + result = self.func(data) + self.assertEqual(result, exact) + self.assertIsInstance(result, float) + class TestPStdev(VarianceStdevMixin, NumericTestCase): # Tests for population standard deviation. def setUp(self): |