def test_points_selection_04(self):
number_of_samples = 5
x = np.array([[8.79], [0.35], [4.56]])
data_feed = CVTSampling(self.test_data, number_of_samples)
output = data_feed.points_selection(self.test_data.values, x)
expected_output = np.array([[9., 100.], [0., 1.], [5., 36.]])
self.assertEqual(output.tolist(), expected_output.tolist())
def test_initialization_05(self):
output_2 = CVTSampling(self.test_data)
expected_output = 5
expected_output_2 = np.array([[0], [1], [2], [3], [4], [5], [6], [7],
[8], [9]])
self.assertEqual(output_2.number_of_centres, expected_output)
self.assertEqual(output_2.x_data.tolist(), expected_output_2.tolist())
def test_create_centres_03(self):
initial_centres = np.array([[0, 0], [1, 1]])
current_random_points = np.array([[0.6, 0.6], [0.8, 0.8]])
current_centres = np.array([1, 1])
counter = 5
expected_output = np.array([[0.5 / 6, 0.5 / 6], [5.7 / 6, 5.7 / 6]])
output = CVTSampling.create_centres(initial_centres,
current_random_points,
current_centres, counter)
np.testing.assert_array_equal(expected_output, output)
def test_create_centres_02(self):
initial_centres = np.array([[0, 0], [1, 1]])
current_random_points = np.array([[0.6, 0.6], [0.3, 0.3]])
current_centres = np.array([1, 0])
counter = 10
expected_output = np.array([[0.3 / 11, 0.3 / 11],
[10.6 / 11, 10.6 / 11]])
output = CVTSampling.create_centres(initial_centres,
current_random_points,
current_centres, counter)
np.testing.assert_array_equal(expected_output, output)
def test_create_centres_04(self):
initial_centres = np.array([[0, 0, 0], [1, 1, 1]])
current_random_points = np.array([[0.1, 0.1, 0.1], [0.3, 0.3, 0.3],
[0.5, 0.5, 0.5], [0.7, 0.7, 0.7],
[0.9, 0.9, 0.9]])
current_centres = np.array([0, 0, 0, 1, 1])
counter = 4
expected_output = np.array([[0.3 / 5, 0.3 / 5, 0.3 / 5],
[4.8 / 5, 4.8 / 5, 4.8 / 5]])
output = CVTSampling.create_centres(initial_centres,
current_random_points,
current_centres, counter)
np.testing.assert_array_equal(expected_output, output)
def test_eucl_distance_04(self):
u = np.array([[1, 2]])
v = np.array([[5, 6], [7, 8]])
expected_output = np.array([32**0.5, 72**0.5])
output = CVTSampling.eucl_distance(u, v)
np.testing.assert_array_equal(expected_output, output)
def test_eucl_distance_02(self):
u = np.array([[1, 2]])
v = np.array([[3, 4]])
expected_output = 8**0.5
output = CVTSampling.eucl_distance(u, v)
self.assertEqual(expected_output, output)
def test_eucl_distance_01(self):
u = np.array([[3]])
v = np.array([[5]])
expected_output = 2
output = CVTSampling.eucl_distance(u, v)
self.assertEqual(expected_output, output)
def test_initialization_14(self):
with self.assertRaises(Exception):
CVTSampling(self.test_data, tolerance='0.1')
def test_initialization_13(self):
tol = 1e-9
output = CVTSampling(self.test_data, tolerance=tol)
self.assertEqual(output.eps, tol)
def test_initialization_12(self):
deft = 1e-07
output = CVTSampling(self.test_data)
self.assertEqual(output.eps, deft)
def test_initialization_08(self):
test_data_as_list = self.test_data.values.tolist()
with self.assertRaises(ValueError):
CVTSampling(test_data_as_list, 7)
def test_initialization_07(self):
test_data_as_array = self.test_data.values
output_1 = CVTSampling(test_data_as_array, 7)
np.testing.assert_array_equal(output_1.data, test_data_as_array)
def test_initialization_06(self):
with self.assertRaises(Exception):
CVTSampling(self.test_data, 1.7)