def test_not_numeric_values_in_list(self):
"""
This test checks if the function deals correctly with list with not numeric values given as an argument.
"""
with self.assertRaises(TypeError) as error:
mean([1, 'a'])
self.assertEqual(error.exception.args[0], 'argument of the function must be a list of values of type int '
'or float')
def test_not_a_list(self):
"""
This test checks if the function deals correctly with not a list argument.
"""
with self.assertRaises(TypeError) as error:
mean('a')
self.assertEqual(error.exception.args[0], 'argument of the function must be a list of values of type int '
'or float')
def test_validator_working_correct_negativa(self):
with self.assertRaises(TypeError) as raised_exception:
stats.missing_data(2, 3.5)
self.assertEqual(raised_exception.exception.args[0],
"input type must be list")
with self.assertRaises(ValueError) as raised_exception:
stats.mean([1, 2, (2, 3.5)], [3.5, 2, 1])
self.assertEqual(raised_exception.exception.args[0],
"value in x must be numeric")
def test_mean(self):
self.assertEqual(stats.mean([2, 2, 2, 2]), 2)
self.assertAlmostEqual(stats.mean([1, 2, 3, 4]), 2.5)
def test_harder_test(self):
"""
This test checks if the function deals correctly with list [1.21, -3.42, 5.56, 112.86, -34].
"""
self.assertAlmostEqual(mean([1.21, -3.42, 5.56, 112.86, -34]), 16.442, delta=0.001)
def test_simple_int_list(self):
"""
This test checks if the function deals correctly with list [1, 2, 3, 4, 5].
"""
self.assertEqual(mean([1, 2, 3, 4, 5]), 3.0)
def test_one_element(self):
"""
This test checks if the function deals correctly with list of one element.
"""
self.assertEqual(mean([1]), 1.0)