def test_n_dimensional_dominant_wavelength(self):
"""
Tests :func:`colour.colorimetry.dominant.dominant_wavelength`
definition n-dimensional arrays support.
"""
xy = np.array([0.54369557, 0.32107944])
xy_n = D65
wl, xy_wl, xy_cwl = dominant_wavelength(xy, xy_n, CIE_2_1931_CMFS)
wl_r, xy_wl_r, xy_cwl_r = (np.array(616.0),
np.array([0.68354746, 0.31628409]),
np.array([0.68354746, 0.31628409]))
np.testing.assert_almost_equal(wl, wl_r)
np.testing.assert_almost_equal(xy_wl, xy_wl_r, decimal=7)
np.testing.assert_almost_equal(xy_cwl, xy_cwl_r, decimal=7)
xy = np.tile(xy, (6, 1))
xy_n = np.tile(xy_n, (6, 1))
wl, xy_wl, xy_cwl = dominant_wavelength(xy, xy_n, CIE_2_1931_CMFS)
wl_r = np.tile(wl_r, 6)
xy_wl_r = np.tile(xy_wl_r, (6, 1))
xy_cwl_r = np.tile(xy_cwl_r, (6, 1))
np.testing.assert_almost_equal(wl, wl_r)
np.testing.assert_almost_equal(xy_wl, xy_wl_r, decimal=7)
np.testing.assert_almost_equal(xy_cwl, xy_cwl_r, decimal=7)
xy = np.reshape(xy, (2, 3, 2))
xy_n = np.reshape(xy_n, (2, 3, 2))
wl, xy_wl, xy_cwl = dominant_wavelength(xy, xy_n, CIE_2_1931_CMFS)
wl_r = np.reshape(wl_r, (2, 3))
xy_wl_r = np.reshape(xy_wl_r, (2, 3, 2))
xy_cwl_r = np.reshape(xy_cwl_r, (2, 3, 2))
np.testing.assert_almost_equal(wl, wl_r)
np.testing.assert_almost_equal(xy_wl, xy_wl_r, decimal=7)
np.testing.assert_almost_equal(xy_cwl, xy_cwl_r, decimal=7)
def test_dominant_wavelength(self):
"""
Test :func:`colour.colorimetry.dominant.dominant_wavelength`
definition.
"""
xy = np.array([0.54369557, 0.32107944])
xy_n = self._xy_D65
wl, xy_wl, xy_cwl = dominant_wavelength(xy, xy_n)
self.assertEqual(wl, np.array(616.0))
np.testing.assert_almost_equal(
xy_wl, np.array([0.68354746, 0.31628409]), decimal=7
)
np.testing.assert_almost_equal(
xy_cwl, np.array([0.68354746, 0.31628409]), decimal=7
)
xy = np.array([0.37605506, 0.24452225])
i_wl, xy_wl, xy_cwl = dominant_wavelength(xy, xy_n)
self.assertEqual(i_wl, np.array(-509.0))
np.testing.assert_almost_equal(
xy_wl, np.array([0.45723147, 0.13628148]), decimal=7
)
np.testing.assert_almost_equal(
xy_cwl, np.array([0.01040962, 0.73207453]), decimal=7
)
def test_n_dimensional_dominant_wavelength(self):
"""
Tests :func:`colour.colorimetry.dominant.dominant_wavelength`
definition n-dimensional arrays support.
"""
xy = np.array([0.54369557, 0.32107944])
xy_n = D65
wl, xy_wl, xy_cwl = dominant_wavelength(xy, xy_n, CIE_2_1931_CMFS)
wl_r, xy_wl_r, xy_cwl_r = (np.array(616.0),
np.array([0.68354746, 0.31628409]),
np.array([0.68354746, 0.31628409]))
np.testing.assert_almost_equal(wl, wl_r)
np.testing.assert_almost_equal(xy_wl, xy_wl_r, decimal=7)
np.testing.assert_almost_equal(xy_cwl, xy_cwl_r, decimal=7)
xy = np.tile(xy, (6, 1))
xy_n = np.tile(xy_n, (6, 1))
wl, xy_wl, xy_cwl = dominant_wavelength(xy, xy_n, CIE_2_1931_CMFS)
wl_r = np.tile(wl_r, 6)
xy_wl_r = np.tile(xy_wl_r, (6, 1))
xy_cwl_r = np.tile(xy_cwl_r, (6, 1))
np.testing.assert_almost_equal(wl, wl_r)
np.testing.assert_almost_equal(xy_wl, xy_wl_r, decimal=7)
np.testing.assert_almost_equal(xy_cwl, xy_cwl_r, decimal=7)
xy = np.reshape(xy, (2, 3, 2))
xy_n = np.reshape(xy_n, (2, 3, 2))
wl, xy_wl, xy_cwl = dominant_wavelength(xy, xy_n, CIE_2_1931_CMFS)
wl_r = np.reshape(wl_r, (2, 3))
xy_wl_r = np.reshape(xy_wl_r, (2, 3, 2))
xy_cwl_r = np.reshape(xy_cwl_r, (2, 3, 2))
np.testing.assert_almost_equal(wl, wl_r)
np.testing.assert_almost_equal(xy_wl, xy_wl_r, decimal=7)
np.testing.assert_almost_equal(xy_cwl, xy_cwl_r, decimal=7)
def test_n_dimensional_dominant_wavelength(self):
"""
Tests :func:`colour.colorimetry.dominant.dominant_wavelength`
definition n-dimensional arrays support.
"""
xy = np.array([0.26415, 0.37770])
xy_n = D65
wl, xy_wl, xy_cwl = dominant_wavelength(xy, xy_n, CIE_2_1931_CMFS)
wl_r, xy_wl_r, xy_cwl_r = (504, np.array([0.00369694, 0.63895775]),
np.array([0.00369694, 0.63895775]))
np.testing.assert_almost_equal(wl, wl_r, decimal=7)
np.testing.assert_almost_equal(xy_wl, xy_wl_r)
np.testing.assert_almost_equal(xy_cwl, xy_cwl_r)
xy = np.tile(xy, (6, 1))
xy_n = np.tile(xy_n, (6, 1))
wl, xy_wl, xy_cwl = dominant_wavelength(xy, xy_n, CIE_2_1931_CMFS)
wl_r = np.tile(wl_r, 6)
xy_wl_r = np.tile(xy_wl_r, (6, 1))
xy_cwl_r = np.tile(xy_cwl_r, (6, 1))
np.testing.assert_almost_equal(wl, wl_r, decimal=7)
np.testing.assert_almost_equal(xy_wl, xy_wl_r)
np.testing.assert_almost_equal(xy_cwl, xy_cwl_r)
xy = np.reshape(xy, (2, 3, 2))
xy_n = np.reshape(xy_n, (2, 3, 2))
wl, xy_wl, xy_cwl = dominant_wavelength(xy, xy_n, CIE_2_1931_CMFS)
wl_r = np.reshape(wl_r, (2, 3))
xy_wl_r = np.reshape(xy_wl_r, (2, 3, 2))
xy_cwl_r = np.reshape(xy_cwl_r, (2, 3, 2))
np.testing.assert_almost_equal(wl, wl_r, decimal=7)
np.testing.assert_almost_equal(xy_wl, xy_wl_r)
np.testing.assert_almost_equal(xy_cwl, xy_cwl_r)
def test_dominant_wavelength(self):
"""
Tests :func:`colour.colorimetry.dominant.dominant_wavelength`
definition.
"""
xy = np.array([0.26415, 0.37770])
xy_n = D65
wl, xy_wl, xy_cwl = dominant_wavelength(xy, xy_n, CIE_2_1931_CMFS)
self.assertEqual(wl, 504)
np.testing.assert_almost_equal(xy_wl,
np.array([0.00369694, 0.63895775]),
decimal=7)
np.testing.assert_almost_equal(xy_cwl,
np.array([0.00369694, 0.63895775]),
decimal=7)
xy = np.array([0.35000, 0.25000])
i_wl, xy_wl, xy_cwl = dominant_wavelength(xy, xy_n, CIE_2_1931_CMFS)
self.assertEqual(i_wl, -520)
np.testing.assert_almost_equal(xy_wl,
np.array([0.41333146, 0.11586634]),
decimal=7)
np.testing.assert_almost_equal(xy_cwl,
np.array([0.07435534, 0.83380505]),
decimal=7)
def test_nan_dominant_wavelength(self):
"""
Tests :func:`colour.colorimetry.dominant.dominant_wavelength`
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:
try:
dominant_wavelength(case, case, CIE_2_1931_CMFS)
except ValueError:
pass
def test_n_dimensional_dominant_wavelength(self):
"""
Tests :func:`colour.colorimetry.dominant.dominant_wavelength`
definition n-dimensional arrays support.
"""
xy = np.array([0.26415, 0.37770])
xy_n = D65
wl, xy_wl, xy_cwl = dominant_wavelength(xy, xy_n, CIE_2_1931_CMFS)
wl_r, xy_wl_r, xy_cwl_r = (504,
np.array([0.00369694, 0.63895775]),
np.array([0.00369694, 0.63895775]))
np.testing.assert_almost_equal(
wl, wl_r, decimal=7)
np.testing.assert_almost_equal(xy_wl, xy_wl_r)
np.testing.assert_almost_equal(xy_cwl, xy_cwl_r)
xy = np.tile(xy, (6, 1))
xy_n = np.tile(xy_n, (6, 1))
wl, xy_wl, xy_cwl = dominant_wavelength(xy, xy_n, CIE_2_1931_CMFS)
wl_r = np.tile(wl_r, 6)
xy_wl_r = np.tile(xy_wl_r, (6, 1))
xy_cwl_r = np.tile(xy_cwl_r, (6, 1))
np.testing.assert_almost_equal(
wl, wl_r, decimal=7)
np.testing.assert_almost_equal(xy_wl, xy_wl_r)
np.testing.assert_almost_equal(xy_cwl, xy_cwl_r)
xy = np.reshape(xy, (2, 3, 2))
xy_n = np.reshape(xy_n, (2, 3, 2))
wl, xy_wl, xy_cwl = dominant_wavelength(xy, xy_n, CIE_2_1931_CMFS)
wl_r = np.reshape(wl_r, (2, 3))
xy_wl_r = np.reshape(xy_wl_r, (2, 3, 2))
xy_cwl_r = np.reshape(xy_cwl_r, (2, 3, 2))
np.testing.assert_almost_equal(
wl, wl_r, decimal=7)
np.testing.assert_almost_equal(xy_wl, xy_wl_r)
np.testing.assert_almost_equal(xy_cwl, xy_cwl_r)
def test_dominant_wavelength(self):
"""
Tests :func:`colour.colorimetry.dominant.dominant_wavelength`
definition.
"""
xy = np.array([0.54369557, 0.32107944])
xy_n = D65
wl, xy_wl, xy_cwl = dominant_wavelength(xy, xy_n, CIE_2_1931_CMFS)
self.assertEqual(wl, np.array(616.0))
np.testing.assert_almost_equal(
xy_wl, np.array([0.68354746, 0.31628409]), decimal=7)
np.testing.assert_almost_equal(
xy_cwl, np.array([0.68354746, 0.31628409]), decimal=7)
xy = np.array([0.37605506, 0.24452225])
i_wl, xy_wl, xy_cwl = dominant_wavelength(xy, xy_n, CIE_2_1931_CMFS)
self.assertEqual(i_wl, np.array(-509.0))
np.testing.assert_almost_equal(
xy_wl, np.array([0.45723147, 0.13628148]), decimal=7)
np.testing.assert_almost_equal(
xy_cwl, np.array([0.01040962, 0.73207453]), decimal=7)
def test_dominant_wavelength(self):
"""
Tests :func:`colour.colorimetry.dominant.dominant_wavelength`
definition.
"""
xy = np.array([0.26415, 0.37770])
xy_n = D65
wl, xy_wl, xy_cwl = dominant_wavelength(xy, xy_n, CIE_2_1931_CMFS)
self.assertEqual(wl, 504)
np.testing.assert_almost_equal(
xy_wl, np.array([0.00369694, 0.63895775]), decimal=7)
np.testing.assert_almost_equal(
xy_cwl, np.array([0.00369694, 0.63895775]), decimal=7)
xy = np.array([0.35000, 0.25000])
i_wl, xy_wl, xy_cwl = dominant_wavelength(xy, xy_n, CIE_2_1931_CMFS)
self.assertEqual(i_wl, -520)
np.testing.assert_almost_equal(
xy_wl, np.array([0.41333146, 0.11586634]), decimal=7)
np.testing.assert_almost_equal(
xy_cwl, np.array([0.07435534, 0.83380505]), decimal=7)