def test_anomalous_trichromacy_matrix_Machado2009(self):
"""
Tests :func:`colour.blindness.machado2009.\
anomalous_trichromacy_matrix_Machado2009` definition.
"""
cmfs = LMS_CMFS.get('Smith & Pokorny 1975 Normal Trichromats')
primaries = DISPLAYS_RGB_PRIMARIES['Typical CRT Brainard 1997']
np.testing.assert_almost_equal(
anomalous_trichromacy_matrix_Machado2009(cmfs, primaries,
np.array([0, 0, 0])),
np.identity(3),
decimal=7)
np.testing.assert_allclose(
anomalous_trichromacy_matrix_Machado2009(cmfs, primaries,
np.array([2, 0, 0])),
CVD_MATRICES_MACHADO2010.get('Protanomaly').get(0.1),
rtol=0.0001,
atol=0.0001)
np.testing.assert_allclose(
anomalous_trichromacy_matrix_Machado2009(cmfs, primaries,
np.array([20, 0, 0])),
CVD_MATRICES_MACHADO2010.get('Protanomaly').get(1.0),
rtol=0.0001,
atol=0.0001)
np.testing.assert_allclose(
anomalous_trichromacy_matrix_Machado2009(cmfs, primaries,
np.array([0, 2, 0])),
CVD_MATRICES_MACHADO2010.get('Deuteranomaly').get(0.1),
rtol=0.0001,
atol=0.0001)
np.testing.assert_allclose(
anomalous_trichromacy_matrix_Machado2009(cmfs, primaries,
np.array([0, 20, 0])),
CVD_MATRICES_MACHADO2010.get('Deuteranomaly').get(1.0),
rtol=0.0001,
atol=0.0001)
np.testing.assert_allclose(
anomalous_trichromacy_matrix_Machado2009(
cmfs, primaries, np.array([0, 0, 5.00056688094503])),
CVD_MATRICES_MACHADO2010.get('Tritanomaly').get(0.1),
rtol=0.0001,
atol=0.0001)
np.testing.assert_allclose(
anomalous_trichromacy_matrix_Machado2009(
cmfs, primaries, np.array([0, 0, 59.00590434857581])),
CVD_MATRICES_MACHADO2010.get('Tritanomaly').get(1.0),
rtol=0.001,
atol=0.001)
def test_anomalous_trichromacy_matrix_Machado2009(self):
"""
Tests :func:`colour.blindness.machado2009.\
anomalous_trichromacy_matrix_Machado2009` definition.
"""
cmfs = LMS_CMFS.get('Smith & Pokorny 1975 Normal Trichromats')
primaries = DISPLAYS_RGB_PRIMARIES['Typical CRT Brainard 1997']
np.testing.assert_almost_equal(
anomalous_trichromacy_matrix_Machado2009(cmfs, primaries,
np.array([0, 0, 0])),
np.identity(3),
decimal=7)
np.testing.assert_allclose(
anomalous_trichromacy_matrix_Machado2009(cmfs, primaries,
np.array([2, 0, 0])),
CVD_MATRICES_MACHADO2010.get('Protanomaly').get(0.1),
rtol=0.0001,
atol=0.0001)
np.testing.assert_allclose(
anomalous_trichromacy_matrix_Machado2009(cmfs, primaries,
np.array([20, 0, 0])),
CVD_MATRICES_MACHADO2010.get('Protanomaly').get(1.0),
rtol=0.0001,
atol=0.0001)
np.testing.assert_allclose(
anomalous_trichromacy_matrix_Machado2009(cmfs, primaries,
np.array([0, 2, 0])),
CVD_MATRICES_MACHADO2010.get('Deuteranomaly').get(0.1),
rtol=0.0001,
atol=0.0001)
np.testing.assert_allclose(
anomalous_trichromacy_matrix_Machado2009(cmfs, primaries,
np.array([0, 20, 0])),
CVD_MATRICES_MACHADO2010.get('Deuteranomaly').get(1.0),
rtol=0.0001,
atol=0.0001)
np.testing.assert_allclose(
anomalous_trichromacy_matrix_Machado2009(
cmfs, primaries, np.array([0, 0, 5.00056688094503])),
CVD_MATRICES_MACHADO2010.get('Tritanomaly').get(0.1),
rtol=0.0001,
atol=0.0001)
np.testing.assert_allclose(
anomalous_trichromacy_matrix_Machado2009(
cmfs, primaries, np.array([0, 0, 59.00590434857581])),
CVD_MATRICES_MACHADO2010.get('Tritanomaly').get(1.0),
rtol=0.001,
atol=0.001)
def LMS_10_degree_cmfs_to_XYZ_10_degree_cmfs(wavelength):
"""
Converts *Stockman & Sharpe 10 Degree Cone Fundamentals* colour matching
functions into the *CIE 2012 10 Degree Standard Observer* colour matching
functions.
Parameters
----------
wavelength : numeric
Wavelength :math:`\lambda` in nm.
Returns
-------
ndarray, (3,)
*CIE 2012 10 Degree Standard Observer* spectral tristimulus values.
Raises
------
KeyError
If wavelength :math:`\lambda` is not available in the colour matching
functions.
Notes
-----
- Data for the *CIE 2012 10 Degree Standard Observer* already exists,
this definition is intended for educational purpose.
References
----------
.. [5] CVRL. (n.d.). CIE (2012) 10-deg XYZ “physiologically-relevant”
colour matching functions. Retrieved June 25, 2014, from
http://www.cvrl.org/database/text/cienewxyz/cie2012xyz10.htm
Examples
--------
>>> LMS_10_degree_cmfs_to_XYZ_10_degree_cmfs(700) # doctest: +ELLIPSIS
array([ 0.0098162..., 0.0037761..., 0. ])
"""
cmfs = LMS_CMFS.get('Stockman & Sharpe 10 Degree Cone Fundamentals')
l_bar, m_bar, s_bar = cmfs.l_bar.get(wavelength), cmfs.m_bar.get(
wavelength), cmfs.s_bar.get(wavelength)
if None in (l_bar, m_bar, s_bar):
raise KeyError(('"{0} nm" wavelength not available in "{1}" colour '
'matching functions with "{2}" shape!').format(
wavelength, cmfs.name, cmfs.shape))
x_bar = 1.93986443 * l_bar - 1.34664359 * m_bar + 0.43044935 * s_bar
y_bar = 0.69283932 * l_bar + 0.34967567 * m_bar
z_bar = 2.14687945 * s_bar
return np.array([x_bar, y_bar, z_bar])
def LMS_2_degree_cmfs_to_XYZ_2_degree_cmfs(wavelength):
"""
Converts *Stockman & Sharpe 2 Degree Cone Fundamentals* colour matching
functions into the *CIE 2012 2 Degree Standard Observer* colour matching
functions.
Parameters
----------
wavelength : numeric
Wavelength :math:`\lambda` in nm.
Returns
-------
ndarray, (3,)
*CIE 2012 2 Degree Standard Observer* spectral tristimulus values.
Raises
------
KeyError
If wavelength :math:`\lambda` is not available in the colour matching
functions.
Notes
-----
- Data for the *CIE 2012 2 Degree Standard Observer* already exists,
this definition is intended for educational purpose.
References
----------
.. [4] CVRL. (n.d.). CIE (2012) 2-deg XYZ “physiologically-relevant”
colour matching functions. Retrieved June 25, 2014, from
http://www.cvrl.org/database/text/cienewxyz/cie2012xyz2.htm
Examples
--------
>>> LMS_2_degree_cmfs_to_XYZ_2_degree_cmfs(700) # doctest: +ELLIPSIS
array([ 0.0109677..., 0.0041959..., 0. ])
"""
cmfs = LMS_CMFS.get('Stockman & Sharpe 2 Degree Cone Fundamentals')
l_bar, m_bar, s_bar = cmfs.l_bar.get(wavelength), cmfs.m_bar.get(
wavelength), cmfs.s_bar.get(wavelength)
if None in (l_bar, m_bar, s_bar):
raise KeyError(('"{0} nm" wavelength not available in "{1}" colour '
'matching functions with "{2}" shape!').format(
wavelength, cmfs.name, cmfs.shape))
x_bar = 1.94735469 * l_bar - 1.41445123 * m_bar + 0.36476327 * s_bar
y_bar = 0.68990272 * l_bar + 0.34832189 * m_bar
z_bar = 1.93485343 * s_bar
return np.array([x_bar, y_bar, z_bar])
def LMS_10_degree_cmfs_to_XYZ_10_degree_cmfs(wavelength):
"""
Converts *Stockman & Sharpe 10 Degree Cone Fundamentals* colour matching
functions into the *CIE 2012 10 Degree Standard Observer* colour matching
functions.
Parameters
----------
wavelength : numeric
Wavelength :math:`\lambda` in nm.
Returns
-------
ndarray, (3,)
*CIE 2012 10 Degree Standard Observer* spectral tristimulus values.
Raises
------
KeyError
If wavelength :math:`\lambda` is not available in the colour matching
functions.
Notes
-----
- Data for the *CIE 2012 10 Degree Standard Observer* already exists,
this definition is intended for educational purpose.
References
----------
.. [5] http://www.cvrl.org/database/text/cienewxyz/cie2012xyz10.htm
(Last accessed 25 June 2014)
Examples
--------
>>> LMS_10_degree_cmfs_to_XYZ_10_degree_cmfs(700) # doctest: +ELLIPSIS
array([ 0.0098162..., 0.0037761..., 0. ])
"""
cmfs = LMS_CMFS.get('Stockman & Sharpe 10 Degree Cone Fundamentals')
l_bar, m_bar, s_bar = cmfs.l_bar.get(wavelength), cmfs.m_bar.get(
wavelength), cmfs.s_bar.get(wavelength)
if None in (l_bar, m_bar, s_bar):
raise KeyError(('"{0} nm" wavelength not available in "{1}" colour '
'matching functions with "{2}" shape!').format(
wavelength, cmfs.name, cmfs.shape))
x_bar = 1.93986443 * l_bar - 1.34664359 * m_bar + 0.43044935 * s_bar
y_bar = 0.69283932 * l_bar + 0.34967567 * m_bar
z_bar = 2.14687945 * s_bar
return np.array([x_bar, y_bar, z_bar])
def LMS_2_degree_cmfs_to_XYZ_2_degree_cmfs(wavelength):
"""
Converts *Stockman & Sharpe 2 Degree Cone Fundamentals* colour matching
functions into the *CIE 2012 2 Degree Standard Observer* colour matching
functions.
Parameters
----------
wavelength : numeric
Wavelength :math:`\lambda` in nm.
Returns
-------
ndarray, (3,)
*CIE 2012 2 Degree Standard Observer* spectral tristimulus values.
Raises
------
KeyError
If wavelength :math:`\lambda` is not available in the colour matching
functions.
Notes
-----
- Data for the *CIE 2012 2 Degree Standard Observer* already exists,
this definition is intended for educational purpose.
References
----------
.. [4] http://www.cvrl.org/database/text/cienewxyz/cie2012xyz2.htm
(Last accessed 25 June 2014)
Examples
--------
>>> LMS_2_degree_cmfs_to_XYZ_2_degree_cmfs(700) # doctest: +ELLIPSIS
array([ 0.0109677..., 0.0041959..., 0. ])
"""
cmfs = LMS_CMFS.get('Stockman & Sharpe 2 Degree Cone Fundamentals')
l_bar, m_bar, s_bar = cmfs.l_bar.get(wavelength), cmfs.m_bar.get(
wavelength), cmfs.s_bar.get(wavelength)
if None in (l_bar, m_bar, s_bar):
raise KeyError(('"{0} nm" wavelength not available in "{1}" colour '
'matching functions with "{2}" shape!').format(
wavelength, cmfs.name, cmfs.shape))
x_bar = 1.94735469 * l_bar - 1.41445123 * m_bar + 0.36476327 * s_bar
y_bar = 0.68990272 * l_bar + 0.34832189 * m_bar
z_bar = 1.93485343 * s_bar
return np.array([x_bar, y_bar, z_bar])
def test_anomalous_trichromacy_cmfs_Machado2009(self):
"""
Tests :func:`colour.blindness.machado2009.\
anomalous_trichromacy_cmfs_Machado2009` definition.
"""
cmfs = LMS_CMFS.get('Smith & Pokorny 1975 Normal Trichromats')
np.testing.assert_almost_equal(
anomalous_trichromacy_cmfs_Machado2009(cmfs,
np.array([0, 0, 0], ))[450],
cmfs[450],
decimal=7)
np.testing.assert_almost_equal(
anomalous_trichromacy_cmfs_Machado2009(cmfs,
np.array([1, 0, 0], ))[450],
np.array([0.03631700, 0.06350000, 0.91000000]),
decimal=7)
np.testing.assert_almost_equal(
anomalous_trichromacy_cmfs_Machado2009(cmfs,
np.array([0, 1, 0], ))[450],
np.array([0.03430000, 0.06178404, 0.91000000]),
decimal=7)
np.testing.assert_almost_equal(
anomalous_trichromacy_cmfs_Machado2009(cmfs,
np.array([0, 0, 1], ))[450],
np.array([0.03430000, 0.06350000, 0.92270240]),
decimal=7)
np.testing.assert_almost_equal(
anomalous_trichromacy_cmfs_Machado2009(cmfs, np.array(
[10, 0, 0], ))[450],
np.array([0.05447001, 0.06350000, 0.91000000]),
decimal=7)
np.testing.assert_almost_equal(
anomalous_trichromacy_cmfs_Machado2009(cmfs, np.array(
[0, 10, 0], ))[450],
np.array([0.03430000, 0.04634036, 0.91000000]),
decimal=7)
np.testing.assert_almost_equal(
anomalous_trichromacy_cmfs_Machado2009(cmfs, np.array(
[0, 0, 10], ))[450],
np.array([0.03430000, 0.06350000, 1.00000000]),
decimal=7)
def LMS_10_degree_cmfs_to_XYZ_10_degree_cmfs(wavelength):
"""
Converts *Stockman & Sharpe 10 Degree Cone Fundamentals* colour matching
functions into the *CIE 2012 10 Degree Standard Observer* colour matching
functions.
Parameters
----------
wavelength : numeric or array_like
Wavelength :math:`\lambda` in nm.
Returns
-------
ndarray
*CIE 2012 10 Degree Standard Observer* spectral tristimulus values.
Notes
-----
- Data for the *CIE 2012 10 Degree Standard Observer* already exists,
this definition is intended for educational purpose.
References
----------
.. [5] CVRL. (n.d.). CIE (2012) 10-deg XYZ “physiologically-relevant”
colour matching functions. Retrieved June 25, 2014, from
http://www.cvrl.org/database/text/cienewxyz/cie2012xyz10.htm
Examples
--------
>>> LMS_10_degree_cmfs_to_XYZ_10_degree_cmfs(700) # doctest: +ELLIPSIS
array([ 0.0098162..., 0.0037761..., 0. ])
"""
cmfs = LMS_CMFS.get('Stockman & Sharpe 10 Degree Cone Fundamentals')
lms_bar = cmfs.get(wavelength)
M = np.array([[1.93986443, -1.34664359, 0.43044935],
[0.69283932, 0.34967567, 0.00000000],
[0.00000000, 0.00000000, 2.14687945]])
xyz_bar = dot_vector(M, lms_bar)
return xyz_bar
def LMS_2_degree_cmfs_to_XYZ_2_degree_cmfs(wavelength):
"""
Converts *Stockman & Sharpe 2 Degree Cone Fundamentals* colour matching
functions into the *CIE 2012 2 Degree Standard Observer* colour matching
functions.
Parameters
----------
wavelength : numeric or array_like
Wavelength :math:`\lambda` in nm.
Returns
-------
ndarray
*CIE 2012 2 Degree Standard Observer* spectral tristimulus values.
Notes
-----
- Data for the *CIE 2012 2 Degree Standard Observer* already exists,
this definition is intended for educational purpose.
References
----------
.. [4] CVRL. (n.d.). CIE (2012) 2-deg XYZ “physiologically-relevant”
colour matching functions. Retrieved June 25, 2014, from
http://www.cvrl.org/database/text/cienewxyz/cie2012xyz2.htm
Examples
--------
>>> LMS_2_degree_cmfs_to_XYZ_2_degree_cmfs(700) # doctest: +ELLIPSIS
array([ 0.0109677..., 0.0041959..., 0. ])
"""
cmfs = LMS_CMFS.get('Stockman & Sharpe 2 Degree Cone Fundamentals')
lms_bar = cmfs.get(wavelength)
M = np.array([[1.94735469, -1.41445123, 0.36476327],
[0.68990272, 0.34832189, 0.00000000],
[0.00000000, 0.00000000, 1.93485343]])
xyz_bar = dot_vector(M, lms_bar)
return xyz_bar
def LMS_10_degree_cmfs_to_XYZ_10_degree_cmfs(wavelength):
"""
Converts *Stockman & Sharpe 10 Degree Cone Fundamentals* colour matching
functions into the *CIE 2012 10 Degree Standard Observer* colour matching
functions.
Parameters
----------
wavelength : numeric or array_like
Wavelength :math:`\lambda` in nm.
Returns
-------
ndarray
*CIE 2012 10 Degree Standard Observer* spectral tristimulus values.
Notes
-----
- Data for the *CIE 2012 10 Degree Standard Observer* already exists,
this definition is intended for educational purpose.
References
----------
.. [5] CVRL. (n.d.). CIE (2012) 10-deg XYZ “physiologically-relevant”
colour matching functions. Retrieved June 25, 2014, from
http://www.cvrl.org/database/text/cienewxyz/cie2012xyz10.htm
Examples
--------
>>> LMS_10_degree_cmfs_to_XYZ_10_degree_cmfs(700) # doctest: +ELLIPSIS
array([ 0.0098162..., 0.0037761..., 0. ])
"""
cmfs = LMS_CMFS.get('Stockman & Sharpe 10 Degree Cone Fundamentals')
lms_bar = cmfs.get(wavelength)
M = np.array([[1.93986443, -1.34664359, 0.43044935],
[0.69283932, 0.34967567, 0.00000000],
[0.00000000, 0.00000000, 2.14687945]])
xyz_bar = dot_vector(M, lms_bar)
return xyz_bar
def LMS_2_degree_cmfs_to_XYZ_2_degree_cmfs(wavelength):
"""
Converts *Stockman & Sharpe 2 Degree Cone Fundamentals* colour matching
functions into the *CIE 2012 2 Degree Standard Observer* colour matching
functions.
Parameters
----------
wavelength : numeric or array_like
Wavelength :math:`\lambda` in nm.
Returns
-------
ndarray
*CIE 2012 2 Degree Standard Observer* spectral tristimulus values.
Notes
-----
- Data for the *CIE 2012 2 Degree Standard Observer* already exists,
this definition is intended for educational purpose.
References
----------
.. [4] CVRL. (n.d.). CIE (2012) 2-deg XYZ “physiologically-relevant”
colour matching functions. Retrieved June 25, 2014, from
http://www.cvrl.org/database/text/cienewxyz/cie2012xyz2.htm
Examples
--------
>>> LMS_2_degree_cmfs_to_XYZ_2_degree_cmfs(700) # doctest: +ELLIPSIS
array([ 0.0109677..., 0.0041959..., 0. ])
"""
cmfs = LMS_CMFS.get('Stockman & Sharpe 2 Degree Cone Fundamentals')
lms_bar = cmfs.get(wavelength)
M = np.array([[1.94735469, -1.41445123, 0.36476327],
[0.68990272, 0.34832189, 0.00000000],
[0.00000000, 0.00000000, 1.93485343]])
xyz_bar = dot_vector(M, lms_bar)
return xyz_bar