def test_distance(self):
point_1 = np.array([1.5, np.pi, np.exp(2.0)])
point_2 = np.array([np.pi, np.exp(1), -1.9])
d1 = G.distance(point_1, point_2)
d2 = np.linalg.norm(point_1 - point_2)
assert d1 == pytest.approx(d2)
assert G.distance(point_1) == pytest.approx(np.linalg.norm(point_1))
def test_get_3d_sphere(self):
dx = 0.23
center = np.random.random_sample(3)
radius = 2.0
x, y, z = get_3d_sphere(dx, radius, center)
count = 0
for i in range(len(x)):
point = np.array([x[i], y[i], z[i]])
dist = distance(point, center)
if dist >= radius * (1.0 + dx * 1.0e-04):
count += 1
assert count == 0
def test_distance(self):
point_1 = np.random.random_sample(3)
point_2 = np.random.random_sample(3)
self.assertAlmostEqual(distance(point_1, point_2),
np.linalg.norm(point_1 - point_2))