def test_list_mean_const(self):
"""This function tests if list_mean gives correct
result given a list of constants.
"""
r = math_lib.list_mean([1, 1, 1, 1])
self.assertEqual(r, 1)
def test_list_stdev_empty_list(self):
self.assertIsNone(ml.list_mean([]), None)
def test_list_mean_empty_list(self):
r = math_lib.list_mean(None)
self.assertEqual(r, None)
def test_mean(self):
file_mean = ml.list_mean(self.file_int)
self.assertEqual(file_mean, self.direct_mean_int)
def test_list_mean_random_int_list(self):
for i in range(100):
L = []
for j in range(10):
L.append(random.randint(0, 100))
self.assertEqual(ml.list_mean(L), statistics.mean(L))
def test_mean_with_NaNs(self):
bad_file = [2, 2, 2, 2, 2, 2, 'NaN']
with self.assertRaises(TypeError):
ml.list_mean(bad_file)
def test_mean_with_non_int(self):
bad_file = [2, 2, 'q', 2, 'a', 2]
with self.assertRaises(TypeError):
ml.list_mean(bad_file)
def test_mean_mixed_list(self):
self.assertEqual(math_lib.list_mean(['a', 2, 'c', '4']), 3)
def test_mean_rand_ints(self):
self.assertEqual(math_lib.list_mean(self.direct_list_mean_array),
self.direct_mean_val)
def test_mean_none(self):
with self.assertRaises(ValueError):
math_lib.list_mean(None)
def test_mean_only_str(self):
with self.assertRaises(ValueError):
math_lib.list_mean(['a', 'b', 'c'])
def test_mean_empty(self):
with self.assertRaises(ValueError):
math_lib.list_mean([])
def test_list_mean_empty(self):
"""This function tests if the input list is empty
"""
r = math_lib.list_mean(None)
self.assertEqual(r, None)
def test_list_mean_exceptions(self):
"""This function tests if an exception is handled properly
"""
with self.assertRaises(TypeError) as ex:
math_lib.list_mean([1, 1, 1, 'x'])
self.assertTrue('Unsupported value in the list' in str(ex.exception))
def test_mean_empty_array(self):
self.assertEqual(math_lib.list_mean([]), None)
def test_mean_letter_array(self):
self.assertRaises(ValueError,
lambda: math_lib.list_mean(['A', 'B', 'C']))
def test_mean_ones_array(self):
self.assertEqual(math_lib.list_mean([1, 1, 1, 1]), 1)
def test_mean_none(self):
self.assertEqual(math_lib.list_mean(None), None)
def test_mean_with_no_entries(self):
bad_file = []
with self.assertRaises(ZeroDivisionError):
ml.list_mean(bad_file)
def test_mean_null(self):
self.assertRaises(TypeError, lambda: math_lib.list_mean())
def test_mean_with_unstructured_entries(self):
bad_file = ['a', 'b', 'c']
with self.assertRaises(TypeError):
ml.list_mean(bad_file)
def test_mean_string(self):
self.assertRaises(TypeError, lambda: math_lib.list_mean(str('hi')))
def test_list_mean_one_list(self):
self.assertEqual(ml.list_mean([1, 1, 1, 1, 1]), 1)
def test_mean_int(self):
self.assertRaises(TypeError, lambda: math_lib.list_mean(4))
def test_list_mean_random_float_list(self):
for i in range(100):
L = []
for j in range(10):
L.append(random.uniform(0, 100))
self.assertAlmostEqual(ml.list_mean(L), statistics.mean(L))
def test_mean_float(self):
self.assertRaises(TypeError, lambda: math_lib.list_mean(420.69))
def test_list_mean_none(self):
self.assertIsNone(ml.list_mean(None), None)
def test_mean_Boolean(self):
self.assertRaises(TypeError, lambda: math_lib.list_mean(True))
def test_mean_constants(self):
r = math_lib.list_mean([1, 1, 1, 1])
self.assertEqual(r, 1)
def test_float_static_list(self):
self.assertAlmostEqual(math_lib.list_mean(self.float_static_list),
statistics.mean(self.float_static_list), 5)
self.assertAlmostEqual(math_lib.list_stdev(self.float_static_list),
statistics.stdev(self.float_static_list), 5)
