def test_n_dimensional_cartesian_to_cylindrical(self):
"""
Tests :func:`colour.algebra.coordinates.transformations.\
cartesian_to_cylindrical` definition n-dimensional arrays support.
"""
vector_i = np.array([3, 1, 6])
vector_o = np.array([6.00000000, 0.32175055, 3.16227766])
np.testing.assert_almost_equal(
cartesian_to_cylindrical(vector_i),
vector_o,
decimal=7)
vector_i = np.tile(vector_i, (6, 1))
vector_o = np.tile(vector_o, (6, 1))
np.testing.assert_almost_equal(
cartesian_to_cylindrical(vector_i),
vector_o,
decimal=7)
vector_i = np.reshape(vector_i, (2, 3, 3))
vector_o = np.reshape(vector_o, (2, 3, 3))
np.testing.assert_almost_equal(
cartesian_to_cylindrical(vector_i),
vector_o,
decimal=7)
def test_n_dimensional_cartesian_to_cylindrical(self):
"""
Tests :func:`colour.algebra.coordinates.transformations.\
cartesian_to_cylindrical` definition n-dimensional arrays support.
"""
a_i = np.array([3, 1, 6])
a_o = np.array([6.00000000, 0.32175055, 3.16227766])
np.testing.assert_almost_equal(
cartesian_to_cylindrical(a_i),
a_o,
decimal=7)
a_i = np.tile(a_i, (6, 1))
a_o = np.tile(a_o, (6, 1))
np.testing.assert_almost_equal(
cartesian_to_cylindrical(a_i),
a_o,
decimal=7)
a_i = np.reshape(a_i, (2, 3, 3))
a_o = np.reshape(a_o, (2, 3, 3))
np.testing.assert_almost_equal(
cartesian_to_cylindrical(a_i),
a_o,
decimal=7)
def test_nan_cartesian_to_cylindrical(self):
"""
Tests :func:`colour.algebra.coordinates.transformations.\
cartesian_to_cylindrical` definition nan support.
"""
cases = [-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]
cases = set(permutations(cases * 3, r=3))
for case in cases:
a_i = np.array(case)
cartesian_to_cylindrical(a_i)
def test_nan_cartesian_to_cylindrical(self):
"""
Tests :func:`colour.algebra.coordinates.transformations.\
cartesian_to_cylindrical` definition nan support.
"""
cases = [-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]
cases = set(permutations(cases * 3, r=3))
for case in cases:
a_i = np.array(case)
cartesian_to_cylindrical(a_i)
def test_cartesian_to_cylindrical(self):
"""
Tests
:func:`colour.algebra.coordinates.transformations.cartesian_to_cylindrical` # noqa
definition.
"""
np.testing.assert_almost_equal(cartesian_to_cylindrical((3, 1, 6)),
np.array([6., 0.32175055, 3.16227766]),
decimal=7)
np.testing.assert_almost_equal(cartesian_to_cylindrical((-1, 9, 16)),
np.array([16., 1.68145355, 9.05538514]),
decimal=7)
np.testing.assert_almost_equal(
cartesian_to_cylindrical((6.3434, -0.9345, 18.5675)),
np.array([18.5675, -0.1462664, 6.41186508]),
decimal=7)
def test_n_dimensional_cartesian_to_cylindrical(self):
"""
Tests :func:`colour.algebra.coordinates.transformations.\
cartesian_to_cylindrical` definition n-dimensional arrays support.
"""
a_i = np.array([3, 1, 6])
a_o = cartesian_to_cylindrical(a_i)
a_i = np.tile(a_i, (6, 1))
a_o = np.tile(a_o, (6, 1))
np.testing.assert_almost_equal(
cartesian_to_cylindrical(a_i), a_o, decimal=7)
a_i = np.reshape(a_i, (2, 3, 3))
a_o = np.reshape(a_o, (2, 3, 3))
np.testing.assert_almost_equal(
cartesian_to_cylindrical(a_i), a_o, decimal=7)
def test_cartesian_to_cylindrical(self):
"""
Tests
:func:`colour.algebra.coordinates.transformations.cartesian_to_cylindrical` # noqa
definition.
"""
np.testing.assert_almost_equal(
cartesian_to_cylindrical((3, 1, 6)),
np.array([6., 0.32175055, 3.16227766]),
decimal=7)
np.testing.assert_almost_equal(
cartesian_to_cylindrical((-1, 9, 16)),
np.array([16., 1.68145355, 9.05538514]),
decimal=7)
np.testing.assert_almost_equal(
cartesian_to_cylindrical((6.3434, -0.9345, 18.5675)),
np.array([18.5675, -0.1462664, 6.41186508]),
decimal=7)
def test_cartesian_to_cylindrical(self):
"""
Tests :func:`colour.algebra.coordinates.transformations.\
cartesian_to_cylindrical` definition.
"""
np.testing.assert_almost_equal(
cartesian_to_cylindrical(np.array([3, 1, 6])),
np.array([3.16227766, 0.32175055, 6.00000000]),
decimal=7)
np.testing.assert_almost_equal(
cartesian_to_cylindrical(np.array([-1, 9, 16])),
np.array([9.05538514, 1.68145355, 16.00000000]),
decimal=7)
np.testing.assert_almost_equal(
cartesian_to_cylindrical(np.array([6.3434, -0.9345, 18.5675])),
np.array([6.41186508, -0.14626640, 18.56750000]),
decimal=7)
