def test_not_equal_length(self):
"""
This test checks if the function deals correctly with argument lists of not equal length.
"""
with self.assertRaises(ValueError) as error:
correlation([1, 1, 1, 2, 5, 6, 7, 2, 3], [1, 2, 8, 5, 2, 3])
self.assertEqual(error.exception.args[0], 'vectors must have equal length')
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:
correlation([1, 'a'], [1, 2])
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:
correlation('a', 1)
self.assertEqual(error.exception.args[0], 'argument of the function must be a list of values of type int '
'or float')
def test_correlation_with_zero_std(self):
self.assertEqual(stats.correlation([1, 2, 3, 4, 5], [0, 0, 0, 0, 0]),
0)
def test_correlation(self):
self.assertAlmostEqual(stats.correlation([1, 2, 3, 4, 5],
[1, 2, 3, 4, 5]),
1,
delta=0.00001)
def test_zero_std_x(self):
"""
This test checks if the function deals correctly with samples [1] and [1].
"""
self.assertEqual(correlation([1], [1]), 0)
def test_fifth_degree_samples(self):
"""
This test checks if the function deals correctly with samples [1.21, 3.45, -7.3] and [-2.41, 1.26, -1].
"""
self.assertAlmostEqual(correlation([1, 2, 3, 4, 5], [1, 32, 243, 1024, 3125]), 0.8679439350990682, delta=0.001)
def test_quad_samples(self):
"""
This test checks if the function deals correctly with samples [1.21, 3.45, -7.3] and [-2.41, 1.26, -1].
"""
self.assertAlmostEqual(correlation([1, 2, 3, 4, 5], [1, 4, 9, 16, 25]), 0.9811049102515927, delta=0.001)
def test_linear_samples(self):
"""
This test checks if the function deals correctly with samples [1, 2, 3, 4, 5, 6, 7] and
[2, 4, 6, 8, 10, 12, 14].
"""
self.assertEqual(correlation([1, 2, 3, 4, 5, 6, 7], [2, 4, 6, 8, 10, 12, 14]), 1.0)
def test_similar_samples(self):
"""
This test checks if the function deals correctly with samples [1, 2, 3] and [1, 2, 3].
"""
self.assertEqual(correlation([1, 2, 3], [1, 2, 3]), 1.0)
