def test_n_dimensional_xy_to_z(self):
"""
Tests :func:`colour.models.rgb.derivation.xy_to_z` definition
n-dimensional arrays support.
"""
xy = np.array([0.25, 0.25])
z = 0.5
np.testing.assert_almost_equal(
xy_to_z(xy),
z,
decimal=7)
xy = np.tile(xy, (6, 1))
z = np.tile(z, 6, )
np.testing.assert_almost_equal(
xy_to_z(xy),
z,
decimal=7)
xy = np.reshape(xy, (2, 3, 2))
z = np.reshape(z, (2, 3))
np.testing.assert_almost_equal(
xy_to_z(xy),
z,
decimal=7)
def test_nan_xy_to_z(self):
"""
Tests :func:`colour.models.rgb.derivation.xy_to_z` definition nan
support.
"""
cases = [-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]
cases = set(permutations(cases * 3, r=2))
for case in cases:
xy_to_z(case)
def test_xy_to_z(self):
"""
Tests :func:`colour.models.rgb.derivation.xy_to_z` definition.
"""
np.testing.assert_almost_equal(
xy_to_z((0.25, 0.25)),
0.5,
decimal=7)
np.testing.assert_almost_equal(
xy_to_z((0.00010, -0.07700)),
1.07690,
decimal=7)
np.testing.assert_almost_equal(
xy_to_z((0.00000, 1.00000)),
0.00000,
decimal=7)
def test_xy_to_z(self):
"""
Tests :func:`colour.models.rgb.derivation.xy_to_z` definition.
"""
np.testing.assert_almost_equal(
xy_to_z(np.array([0.2500, 0.2500])),
0.5,
decimal=7)
np.testing.assert_almost_equal(
xy_to_z(np.array([0.0001, -0.0770])),
1.0769,
decimal=7)
np.testing.assert_almost_equal(
xy_to_z(np.array([0.0000, 1.0000])),
0.0,
decimal=7)
