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bpo-36018: Test idempotence. Test two methods against one-another. (GH-13021)

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Raymond Hettinger 2019-04-29 23:47:33 -07:00 • committed by GitHub
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commit b0a2c0fa83
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23
Lib/test/test_statistics.py
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@ -2158,6 +2158,20 @@ class TestQuantiles(unittest.TestCase):
result = quantiles(map(datatype, data), n=n)
self.assertTrue(all(type(x) == datatype) for x in result)
self.assertEqual(result, list(map(datatype, expected)))
# Quantiles should be idempotent
if len(expected) >= 2:
self.assertEqual(quantiles(expected, n=n), expected)
# Cross-check against other methods
if len(data) >= n:
# After end caps are added, method='inclusive' should
# give the same result as method='exclusive' whenever
# there are more data points than desired cut points.
padded_data = [min(data) - 1000] + data + [max(data) + 1000]
self.assertEqual(
quantiles(data, n=n),
quantiles(padded_data, n=n, method='inclusive'),
(n, data),
)
# Invariant under tranlation and scaling
def f(x):
return 3.5 * x - 1234.675
@ -2219,6 +2233,15 @@ class TestQuantiles(unittest.TestCase):
actual = quantiles(statistics.NormalDist(), n=n, method="inclusive")
self.assertTrue(all(math.isclose(e, a, abs_tol=0.0001)
for e, a in zip(expected, actual)))
# Whenever n is smaller than the number of data points, running
# method='inclusive' should give the same result as method='exclusive'
# after the two included extreme points are removed.
data = [random.randrange(10_000) for i in range(501)]
actual = quantiles(data, n=32, method='inclusive')
data.remove(min(data))
data.remove(max(data))
expected = quantiles(data, n=32)
self.assertEqual(expected, actual)
def test_equal_inputs(self):
quantiles = statistics.quantiles