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authorSteven D'Aprano <steve@pearwood.info>2016-08-09 13:19:48 +1000
committerSteven D'Aprano <steve@pearwood.info>2016-08-09 13:19:48 +1000
commite7fef52f9865b29785be04d1dc7d9b0b52f3c085 (patch)
treefe21f160af899e0449858dad8fffd08ea58ead2c /Lib/test/test_statistics.py
parent3e8616abcd7fa860ad29a351610fb1ca4fee063a (diff)
downloadcpython-git-e7fef52f9865b29785be04d1dc7d9b0b52f3c085.tar.gz
Tighten up test of harmonic mean on a single value.
Diffstat (limited to 'Lib/test/test_statistics.py')
-rw-r--r--Lib/test/test_statistics.py5
1 files changed, 1 insertions, 4 deletions
diff --git a/Lib/test/test_statistics.py b/Lib/test/test_statistics.py
index 1542d6460a..4b3fd364a7 100644
--- a/Lib/test/test_statistics.py
+++ b/Lib/test/test_statistics.py
@@ -1469,10 +1469,7 @@ class TestHarmonicMean(NumericTestCase, AverageMixin, UnivariateTypeMixin):
def test_singleton_lists(self):
# Test that harmonic mean([x]) returns (approximately) x.
for x in range(1, 101):
- if x in (49, 93, 98, 99):
- self.assertApproxEqual(self.func([x]), x, tol=2e-14)
- else:
- self.assertEqual(self.func([x]), x)
+ self.assertEqual(self.func([x]), x)
def test_decimals_exact(self):
# Test harmonic mean with some carefully chosen Decimals.