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bpo-40331: Increase test coverage for the statistics module by tzabal · Pull Request #19608 · python/cpython · GitHub
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60 changes: 60 additions & 0 deletions Lib/test/test_statistics.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1004,6 +1004,10 @@ def test_nan(self):
x = statistics._convert(nan, type(nan))
self.assertTrue(_nan_equal(x, nan))

def test_invalid_input_type(self):
with self.assertRaises(TypeError):
statistics._convert(None, float)


class FailNegTest(unittest.TestCase):
"""Test _fail_neg private function."""
Expand Down Expand Up @@ -1033,6 +1037,50 @@ def test_error_msg(self):
self.assertEqual(errmsg, msg)


class FindLteqTest(unittest.TestCase):
# Test _find_lteq private function.

def test_invalid_input_values(self):
for a, x in [
([], 1),
([1, 2], 3),
([1, 3], 2)
]:
with self.subTest(a=a, x=x):
with self.assertRaises(ValueError):
statistics._find_lteq(a, x)

def test_locate_successfully(self):
for a, x, expected_i in [
([1, 1, 1, 2, 3], 1, 0),
([0, 1, 1, 1, 2, 3], 1, 1),
([1, 2, 3, 3, 3], 3, 2)
]:
with self.subTest(a=a, x=x):
self.assertEqual(expected_i, statistics._find_lteq(a, x))


class FindRteqTest(unittest.TestCase):
# Test _find_rteq private function.

def test_invalid_input_values(self):
for a, l, x in [
([1], 2, 1),
([1, 3], 0, 2)
]:
with self.assertRaises(ValueError):
statistics._find_rteq(a, l, x)

def test_locate_successfully(self):
for a, l, x, expected_i in [
([1, 1, 1, 2, 3], 0, 1, 2),
([0, 1, 1, 1, 2, 3], 0, 1, 3),
([1, 2, 3, 3, 3], 0, 3, 4)
]:
with self.subTest(a=a, l=l, x=x):
self.assertEqual(expected_i, statistics._find_rteq(a, l, x))


# === Tests for public functions ===

class UnivariateCommonMixin:
Expand Down Expand Up @@ -1476,6 +1524,18 @@ def test_negative_error(self):
with self.subTest(values=values):
self.assertRaises(exc, self.func, values)

def test_invalid_type_error(self):
# Test error is raised when input contains invalid type(s)
for data in [
['3.14'], # single string
['1', '2', '3'], # multiple strings
[1, '2', 3, '4', 5], # mixed strings and valid integers
[2.3, 3.4, 4.5, '5.6'] # only one string and valid floats
]:
with self.subTest(data=data):
with self.assertRaises(TypeError):
self.func(data)

def test_ints(self):
# Test harmonic mean with ints.
data = [2, 4, 4, 8, 16, 16]
Expand Down
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