def test_n_dimensional_JzAzBz_to_XYZ(self):
"""
Tests :func:`colour.models.jzazbz.JzAzBz_to_XYZ` definition
n-dimensions support.
"""
JzAzBz = np.array([0.00535048, 0.00924302, 0.00526007])
XYZ = np.array([0.20654008, 0.12197225, 0.05136952])
np.testing.assert_allclose(JzAzBz_to_XYZ(JzAzBz),
XYZ,
rtol=0.000001,
atol=0.000001)
JzAzBz = np.tile(JzAzBz, (6, 1))
XYZ = np.tile(XYZ, (6, 1))
np.testing.assert_allclose(JzAzBz_to_XYZ(JzAzBz),
XYZ,
rtol=0.000001,
atol=0.000001)
JzAzBz = np.reshape(JzAzBz, (2, 3, 3))
XYZ = np.reshape(XYZ, (2, 3, 3))
np.testing.assert_allclose(JzAzBz_to_XYZ(JzAzBz),
XYZ,
rtol=0.000001,
atol=0.000001)
def test_domain_range_scale_JzAzBz_to_XYZ(self):
"""
Tests :func:`colour.models.jzazbz.JzAzBz_to_XYZ` definition domain and
range scale support.
"""
JzAzBz = np.array([0.00535048, 0.00924302, 0.00526007])
XYZ = JzAzBz_to_XYZ(JzAzBz)
d_r = (('reference', 1), (1, 1), (100, 100))
for scale, factor in d_r:
with domain_range_scale(scale):
np.testing.assert_allclose(JzAzBz_to_XYZ(JzAzBz * factor),
XYZ * factor,
rtol=0.000001,
atol=0.000001)
def test_nan_JzAzBz_to_XYZ(self):
"""
Tests :func:`colour.models.jzazbz.JzAzBz_to_XYZ` 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:
JzAzBz = np.array(case)
JzAzBz_to_XYZ(JzAzBz)
def test_JzAzBz_to_XYZ(self):
"""
Tests :func:`colour.models.jzazbz.JzAzBz_to_XYZ` definition.
"""
np.testing.assert_allclose(
JzAzBz_to_XYZ(np.array([0.00535048, 0.00924302, 0.00526007])),
np.array([0.20654008, 0.12197225, 0.05136952]),
rtol=0.000001,
atol=0.000001)
np.testing.assert_allclose(
JzAzBz_to_XYZ(np.array([0.00619681, -0.00608426, 0.00534077])),
np.array([0.14222010, 0.23042768, 0.10495772]),
rtol=0.000001,
atol=0.000001)
np.testing.assert_allclose(
JzAzBz_to_XYZ(np.array([0.01766826, 0.00064174, -0.00052906])),
np.array([0.96907232, 1.00000000, 1.12179215]),
rtol=0.000001,
atol=0.000001)