def test_nan_linear_function(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.linear.\
linear_function` definition nan support.
"""
cases = [-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]
for case in cases:
linear_function(case)
def test_linear_function(self):
"""
Test :func:`colour.models.rgb.transfer_functions.linear.\
linear_function` definition.
"""
self.assertEqual(linear_function(0.0), 0.0)
self.assertEqual(linear_function(0.18), 0.18)
self.assertEqual(linear_function(1.0), 1.0)
def test_linear_function(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.linear.\
linear_function` definition.
"""
self.assertEqual(linear_function(0.0), 0.0)
self.assertEqual(linear_function(0.18), 0.18)
self.assertEqual(linear_function(1.0), 1.0)
def test_n_dimensional_linear_function(self):
"""
Test :func:`colour.models.rgb.transfer_functions.linear.\
linear_function` definition n-dimensional arrays support.
"""
a = 0.18
a_p = linear_function(a)
a = np.tile(a, 6)
a_p = np.tile(a_p, 6)
np.testing.assert_almost_equal(linear_function(a), a_p, decimal=7)
a = np.reshape(a, (2, 3))
a_p = np.reshape(a_p, (2, 3))
np.testing.assert_almost_equal(linear_function(a), a_p, decimal=7)
a = np.reshape(a, (2, 3, 1))
a_p = np.reshape(a_p, (2, 3, 1))
np.testing.assert_almost_equal(linear_function(a), a_p, decimal=7)
def test_n_dimensional_linear_function(self):
"""
Tests :func:`colour.models.rgb.transfer_functions.linear.\
linear_function` definition n-dimensional arrays support.
"""
a = 0.18
a_p = linear_function(a)
a = np.tile(a, 6)
a_p = np.tile(a_p, 6)
np.testing.assert_almost_equal(linear_function(a), a_p, decimal=7)
a = np.reshape(a, (2, 3))
a_p = np.reshape(a_p, (2, 3))
np.testing.assert_almost_equal(linear_function(a), a_p, decimal=7)
a = np.reshape(a, (2, 3, 1))
a_p = np.reshape(a_p, (2, 3, 1))
np.testing.assert_almost_equal(linear_function(a), a_p, decimal=7)
