def test_interconversion_euler_axangle(random_axangles):
"""
This function checks (with random numbers) that .to_Axangle() and .to_Euler()
go back and forth correctly
"""
z = random_axangles.copy()
z[:, :3] = np.divide(random_axangles[:, :3], np.linalg.norm(
random_axangles[:, :3], axis=1).reshape(z.shape[0], 1)) # normalise
axangle = AxAngle(z)
e = axangle.to_Euler(axis_convention='rzxz')
transform_back = e.to_AxAngle()
assert isinstance(transform_back, AxAngle)
assert np.allclose(transform_back.data, axangle.data)
def test_orthogonal_linear_case_for_cyclic_group(fz_string):
""" Rotations about the x direction are never removed by the effects of the cyclic group """
axis = np.hstack((np.ones((2000, 1)), np.zeros((2000, 2)))) # x
angle = np.linspace(-np.pi, np.pi, 2000)
along_x_axis = AxAngle(np.hstack((axis, angle.reshape(-1, 1))))
reduced = reduce_to_fundamental_zone(along_x_axis, fz_string)
assert reduced.data.shape[0] == along_x_axis.data.shape[0]
def axang(self, good_array):
return AxAngle(good_array)
def test_remove_large_rotations(self, good_array):
axang = AxAngle(good_array)
axang.remove_large_rotations(1.05) # removes 1 rotations
assert axang.data.shape == (1, 4)
def test_good_array__init__(self, good_array):
assert isinstance(AxAngle(good_array), AxAngle)
def test_odd_convention_mat2euler(self):
ax = AxAngle(np.asarray([[1, 0, 0, 0.2]]))
ax.to_Euler(axis_convention='sxyz')
