def test_n_dimensional_LCHuv_to_Luv(self):
"""
Tests :func:`colour.models.cie_luv.LCHuv_to_Luv` definition
n-dimensional arrays support.
"""
LCHuv = np.array([37.98562910, 28.83419279, 182.69946404])
Luv = np.array([37.98562910, -28.80219593, -1.35800706])
np.testing.assert_almost_equal(
LCHuv_to_Luv(LCHuv),
Luv,
decimal=7)
Luv = np.tile(Luv, (6, 1))
LCHuv = np.tile(LCHuv, (6, 1))
np.testing.assert_almost_equal(
LCHuv_to_Luv(LCHuv),
Luv,
decimal=7)
Luv = np.reshape(Luv, (2, 3, 3))
LCHuv = np.reshape(LCHuv, (2, 3, 3))
np.testing.assert_almost_equal(
LCHuv_to_Luv(LCHuv),
Luv,
decimal=7)
def test_n_dimensional_LCHuv_to_Luv(self):
"""
Tests :func:`colour.models.cie_luv.LCHuv_to_Luv` definition
n-dimensional arrays support.
"""
LCHuv = np.array([37.98562910, 28.82419933, 182.69604747])
Luv = np.array([37.98562910, -28.79229446, -1.35581950])
np.testing.assert_almost_equal(
LCHuv_to_Luv(LCHuv),
Luv,
decimal=7)
Luv = np.tile(Luv, (6, 1))
LCHuv = np.tile(LCHuv, (6, 1))
np.testing.assert_almost_equal(
LCHuv_to_Luv(LCHuv),
Luv,
decimal=7)
Luv = np.reshape(Luv, (2, 3, 3))
LCHuv = np.reshape(LCHuv, (2, 3, 3))
np.testing.assert_almost_equal(
LCHuv_to_Luv(LCHuv),
Luv,
decimal=7)
def test_domain_range_scale_LCHuv_to_Lab(self):
"""
Tests :func:`colour.models.cie_luv.LCHuv_to_Luv` definition domain and
range scale support.
"""
LCHuv = np.array([41.52787529, 98.44997950, 10.38816348])
Luv = LCHuv_to_Luv(LCHuv)
d_r = (('reference', 1, 1), (1, np.array([0.01, 0.01, 1 / 360]), 0.01),
(100, np.array([1, 1, 1 / 3.6]), 1))
for scale, factor_a, factor_b in d_r:
with domain_range_scale(scale):
np.testing.assert_almost_equal(LCHuv_to_Luv(LCHuv * factor_a),
Luv * factor_b,
decimal=7)
def test_n_dimensional_LCHuv_to_Luv(self):
"""
Tests :func:`colour.models.cie_luv.LCHuv_to_Luv` definition
n-dimensional arrays support.
"""
LCHuv = np.array([41.52787529, 98.44997950, 10.38816348])
Luv = LCHuv_to_Luv(LCHuv)
Luv = np.tile(Luv, (6, 1))
LCHuv = np.tile(LCHuv, (6, 1))
np.testing.assert_almost_equal(LCHuv_to_Luv(LCHuv), Luv, decimal=7)
Luv = np.reshape(Luv, (2, 3, 3))
LCHuv = np.reshape(LCHuv, (2, 3, 3))
np.testing.assert_almost_equal(LCHuv_to_Luv(LCHuv), Luv, decimal=7)
def test_LCHuv_to_Luv(self):
"""
Tests :func:`colour.models.cie_luv.LCHuv_to_Luv` definition.
"""
np.testing.assert_almost_equal(
LCHuv_to_Luv(np.array([41.52787529, 98.44997950, 10.38816348])),
np.array([41.52787529, 96.83626054, 17.75210149]),
decimal=7)
np.testing.assert_almost_equal(
LCHuv_to_Luv(np.array([55.11636304, 57.97736624, 130.42180076])),
np.array([55.11636304, -37.59308176, 44.13768458]),
decimal=7)
np.testing.assert_almost_equal(
LCHuv_to_Luv(np.array([29.80565520, 65.98464238, 260.43611196])),
np.array([29.80565520, -10.96316802, -65.06751860]),
decimal=7)
def test_LCHuv_to_Luv(self):
"""
Tests :func:`colour.models.cie_luv.LCHuv_to_Luv` definition.
"""
np.testing.assert_almost_equal(
LCHuv_to_Luv(np.array([100, 31.45086945, 248.99237865])),
np.array([100., -11.27488915, -29.36041662]),
decimal=7)
np.testing.assert_almost_equal(
LCHuv_to_Luv(np.array([100, 339.2969064, 12.34702048])),
np.array([100., 331.44911128, 72.55258319]),
decimal=7)
np.testing.assert_almost_equal(
LCHuv_to_Luv(np.array([100, 116.74777618, 251.94795555])),
np.array([100., -36.17788915, -111.00091702]),
decimal=7)
def test_LCHuv_to_Luv(self):
"""
Tests :func:`colour.models.cie_luv.LCHuv_to_Luv` definition.
"""
np.testing.assert_almost_equal(
LCHuv_to_Luv(np.array([37.98562910, 28.83419279, 182.69946404])),
np.array([37.98562910, -28.80219593, -1.35800706]),
decimal=7)
np.testing.assert_almost_equal(
LCHuv_to_Luv(np.array([65.70971880, 91.28765027, 17.21092723])),
np.array([65.70971880, 87.19996716, 27.01112399]),
decimal=7)
np.testing.assert_almost_equal(
LCHuv_to_Luv(np.array([50.86223896, 61.92004176, 12.24936515])),
np.array([50.86223896, 60.51033649, 13.13737985]),
decimal=7)
def test_LCHuv_to_Luv(self):
"""
Tests :func:`colour.models.cie_luv.LCHuv_to_Luv` definition.
"""
np.testing.assert_almost_equal(
LCHuv_to_Luv(np.array([37.98562910, 28.82419933, 182.69604747])),
np.array([37.98562910, -28.79229446, -1.35581950]),
decimal=7)
np.testing.assert_almost_equal(
LCHuv_to_Luv(np.array([65.70971880, 91.30513117, 17.21001524])),
np.array([65.70971880, 87.21709531, 27.01490816]),
decimal=7)
np.testing.assert_almost_equal(
LCHuv_to_Luv(np.array([50.86223896, 61.93361932, 12.24941097])),
np.array([50.86223896, 60.52359443, 13.14030896]),
decimal=7)
def test_nan_LCHuv_to_Luv(self):
"""
Tests :func:`colour.models.cie_luv.LCHuv_to_Luv` 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:
LCHuv = np.array(case)
LCHuv_to_Luv(LCHuv)
