def test_symmetry(self):
"""
Tests if distance from point A to point B is equal to distance from B to A.
"""
point_a = np.array([6.0000000001, 7])
point_b = np.array([13.5000000001, -2])
self.assertEqual(metric.eucl(point_a, point_b),
metric.eucl(point_b, point_a))
def test_te_Same_point(self):
"""
Tests if distance from point to the same point is zero.
"""
point = np.array([6, 3.1])
self.assertEqual(metric.eucl(point, point), 0)
pass
def test_3D_case(self):
"""
Tests metric in 3 dimensional space. Result is compered with np.metric.
"""
point_a = np.array([6, 7, 0])
point_b = np.array([13.5, -2, 3.3])
self.assertEqual(metric.eucl(point_a, point_b),
np.linalg.norm(point_a - point_b))
def test_np_array_input(self):
"""
Tests if function accept np.array as argument. It should pass.
"""
point_a = np.array([6, 3.1])
point_b = np.array([7.2, 1 / 3])
self.assertEqual(metric.eucl(point_a, point_b),
np.linalg.norm(point_a - point_b))
def test_nD_case(self):
"""
Tests metric in multi-dimensional space. Result is compered with np.metric.
"""
n = 123456
point_a = np.array(list(range(n)))
point_b = np.array(list(range(n, 0, -1)))
self.assertEqual(metric.eucl(point_a, point_b),
np.linalg.norm(point_a - point_b))
def test_1D_case(self):
"""
Tests metric in 1 dimensional space. Result is compered with np.metric.
"""
self.assertEqual(metric.eucl(3, 6), np.linalg.norm(3 - 6))