def test_HSV_to_RGB(self):
"""Test :func:`colour.models.rgb.cylindrical.HSV_to_RGB` definition."""
np.testing.assert_almost_equal(
HSV_to_RGB(np.array([0.99603944, 0.93246304, 0.45620519])),
np.array([0.45620519, 0.03081071, 0.04091952]),
decimal=7,
)
np.testing.assert_almost_equal(
HSV_to_RGB(np.array([0.00000000, 0.00000000, 0.00000000])),
np.array([0.00000000, 0.00000000, 0.00000000]),
decimal=7,
)
np.testing.assert_almost_equal(
HSV_to_RGB(np.array([0.00000000, 0.00000000, 1.00000000])),
np.array([1.00000000, 1.00000000, 1.00000000]),
decimal=7,
)
np.testing.assert_almost_equal(
HSV_to_RGB(np.array([0.50000000, 1.00000000, 1.00000000])),
np.array([0.00000000, 1.00000000, 1.00000000]),
decimal=7,
)
def test_domain_range_scale_HSV_to_RGB(self):
"""
Test :func:`colour.models.rgb.cylindrical.HSV_to_RGB` definition
domain and range scale support.
"""
HSV = np.array([0.99603944, 0.93246304, 0.45620519])
RGB = HSV_to_RGB(HSV)
d_r = (("reference", 1), ("1", 1), ("100", 100))
for scale, factor in d_r:
with domain_range_scale(scale):
np.testing.assert_almost_equal(
HSV_to_RGB(HSV * factor), RGB * factor, decimal=7
)
def test_n_dimensional_HSV_to_RGB(self):
"""
Test :func:`colour.models.rgb.cylindrical.HSV_to_RGB` definition
n-dimensional arrays support.
"""
HSV = np.array([0.99603944, 0.93246304, 0.45620519])
RGB = HSV_to_RGB(HSV)
HSV = np.tile(HSV, (6, 1))
RGB = np.tile(RGB, (6, 1))
np.testing.assert_almost_equal(HSV_to_RGB(HSV), RGB, decimal=7)
HSV = np.reshape(HSV, (2, 3, 3))
RGB = np.reshape(RGB, (2, 3, 3))
np.testing.assert_almost_equal(HSV_to_RGB(HSV), RGB, decimal=7)
def test_nan_HSV_to_RGB(self):
"""
Test :func:`colour.models.rgb.cylindrical.HSV_to_RGB` 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:
HSV = np.array(case)
HSV_to_RGB(HSV)