bpo-36546: More tests: type preservation and equal inputs by rhettinger · Pull Request #13000 · python/cpython
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@@ -2153,12 +2153,11 @@ def test_specific_cases(self):
]:
self.assertEqual(expected, quantiles(data, n=n))
self.assertEqual(len(quantiles(data, n=n)), n - 1)
self.assertEqual(list(map(float, expected)),
quantiles(map(Decimal, data), n=n))
self.assertEqual(list(map(Decimal, expected)),
quantiles(map(Decimal, data), n=n))
self.assertEqual(list(map(Fraction, expected)),
quantiles(map(Fraction, data), n=n))
# Preserve datatype when possible
for datatype in (float, Decimal, Fraction):
result = quantiles(map(datatype, data), n=n)
self.assertTrue(all(type(x) == datatype) for x in result)
self.assertEqual(result, list(map(datatype, expected)))
# Invariant under tranlation and scaling
def f(x):
return 3.5 * x - 1234.675
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@@ -2199,12 +2198,11 @@ def test_specific_cases_inclusive(self):
]:
self.assertEqual(expected, quantiles(data, n=n, method="inclusive"))
self.assertEqual(len(quantiles(data, n=n, method="inclusive")), n - 1)
self.assertEqual(list(map(float, expected)),
quantiles(map(Decimal, data), n=n, method="inclusive"))
self.assertEqual(list(map(Decimal, expected)),
quantiles(map(Decimal, data), n=n, method="inclusive"))
self.assertEqual(list(map(Fraction, expected)),
quantiles(map(Fraction, data), n=n, method="inclusive"))
# Preserve datatype when possible
for datatype in (float, Decimal, Fraction):
result = quantiles(map(datatype, data), n=n, method="inclusive")
self.assertTrue(all(type(x) == datatype) for x in result)
self.assertEqual(result, list(map(datatype, expected)))
# Invariant under tranlation and scaling
def f(x):
return 3.5 * x - 1234.675
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@@ -2222,6 +2220,14 @@ def f(x):
self.assertTrue(all(math.isclose(e, a, abs_tol=0.0001)
for e, a in zip(expected, actual)))
def test_equal_inputs(self): quantiles = statistics.quantiles for n in range(2, 10): data = [10.0] * n self.assertEqual(quantiles(data), [10.0, 10.0, 10.0]) self.assertEqual(quantiles(data, method='inclusive'), [10.0, 10.0, 10.0])
def test_equal_sized_groups(self): quantiles = statistics.quantiles total = 10_000 Expand Down
def test_equal_inputs(self): quantiles = statistics.quantiles for n in range(2, 10): data = [10.0] * n self.assertEqual(quantiles(data), [10.0, 10.0, 10.0]) self.assertEqual(quantiles(data, method='inclusive'), [10.0, 10.0, 10.0])
def test_equal_sized_groups(self): quantiles = statistics.quantiles total = 10_000 Expand Down