code stringlengths 66 870k | docstring stringlengths 19 26.7k | func_name stringlengths 1 138 | language stringclasses 1
value | repo stringlengths 7 68 | path stringlengths 5 324 | url stringlengths 46 389 | license stringclasses 7
values |
|---|---|---|---|---|---|---|---|
def test_XYZ_to_IgPgTg(self) -> None:
"""Test :func:`colour.models.igpgtg.XYZ_to_IgPgTg` definition."""
np.testing.assert_allclose(
XYZ_to_IgPgTg(np.array([0.20654008, 0.12197225, 0.05136952])),
np.array([0.42421258, 0.18632491, 0.10689223]),
atol=TOLERANCE_ABSOLUTE_... | Test :func:`colour.models.igpgtg.XYZ_to_IgPgTg` definition. | test_XYZ_to_IgPgTg | python | colour-science/colour | colour/models/tests/test_igpgtg.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_igpgtg.py | BSD-3-Clause |
def test_n_dimensional_XYZ_to_IgPgTg(self) -> None:
"""
Test :func:`colour.models.igpgtg.XYZ_to_IgPgTg` definition
n-dimensional support.
"""
XYZ = np.array([0.20654008, 0.12197225, 0.05136952])
IgPgTg = XYZ_to_IgPgTg(XYZ)
XYZ = np.tile(XYZ, (6, 1))
IgPg... |
Test :func:`colour.models.igpgtg.XYZ_to_IgPgTg` definition
n-dimensional support.
| test_n_dimensional_XYZ_to_IgPgTg | python | colour-science/colour | colour/models/tests/test_igpgtg.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_igpgtg.py | BSD-3-Clause |
def test_domain_range_scale_XYZ_to_IgPgTg(self) -> None:
"""
Test :func:`colour.models.igpgtg.XYZ_to_IgPgTg` definition domain and
range scale support.
"""
XYZ = np.array([0.20654008, 0.12197225, 0.05136952])
IgPgTg = XYZ_to_IgPgTg(XYZ)
d_r = (("reference", 1), ... |
Test :func:`colour.models.igpgtg.XYZ_to_IgPgTg` definition domain and
range scale support.
| test_domain_range_scale_XYZ_to_IgPgTg | python | colour-science/colour | colour/models/tests/test_igpgtg.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_igpgtg.py | BSD-3-Clause |
def test_nan_XYZ_to_IgPgTg(self) -> None:
"""
Test :func:`colour.models.igpgtg.XYZ_to_IgPgTg` definition nan
support.
"""
cases = [-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]
cases = np.array(list(set(product(cases, repeat=3))))
XYZ_to_IgPgTg(cases) |
Test :func:`colour.models.igpgtg.XYZ_to_IgPgTg` definition nan
support.
| test_nan_XYZ_to_IgPgTg | python | colour-science/colour | colour/models/tests/test_igpgtg.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_igpgtg.py | BSD-3-Clause |
def test_IgPgTg_to_XYZ(self) -> None:
"""Test :func:`colour.models.igpgtg.IgPgTg_to_XYZ` definition."""
np.testing.assert_allclose(
IgPgTg_to_XYZ(np.array([0.42421258, 0.18632491, 0.10689223])),
np.array([0.20654008, 0.12197225, 0.05136952]),
atol=TOLERANCE_ABSOLUTE_... | Test :func:`colour.models.igpgtg.IgPgTg_to_XYZ` definition. | test_IgPgTg_to_XYZ | python | colour-science/colour | colour/models/tests/test_igpgtg.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_igpgtg.py | BSD-3-Clause |
def test_n_dimensional_IgPgTg_to_XYZ(self) -> None:
"""
Test :func:`colour.models.igpgtg.IgPgTg_to_XYZ` definition
n-dimensional support.
"""
IgPgTg = np.array([0.42421258, 0.18632491, 0.10689223])
XYZ = IgPgTg_to_XYZ(IgPgTg)
IgPgTg = np.tile(IgPgTg, (6, 1))
... |
Test :func:`colour.models.igpgtg.IgPgTg_to_XYZ` definition
n-dimensional support.
| test_n_dimensional_IgPgTg_to_XYZ | python | colour-science/colour | colour/models/tests/test_igpgtg.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_igpgtg.py | BSD-3-Clause |
def test_domain_range_scale_IgPgTg_to_XYZ(self) -> None:
"""
Test :func:`colour.models.igpgtg.IgPgTg_to_XYZ` definition domain and
range scale support.
"""
IgPgTg = np.array([0.42421258, 0.18632491, 0.10689223])
XYZ = IgPgTg_to_XYZ(IgPgTg)
d_r = (("reference", 1... |
Test :func:`colour.models.igpgtg.IgPgTg_to_XYZ` definition domain and
range scale support.
| test_domain_range_scale_IgPgTg_to_XYZ | python | colour-science/colour | colour/models/tests/test_igpgtg.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_igpgtg.py | BSD-3-Clause |
def test_nan_IgPgTg_to_XYZ(self) -> None:
"""
Test :func:`colour.models.igpgtg.IgPgTg_to_XYZ` definition nan
support.
"""
cases = [-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]
cases = np.array(list(set(product(cases, repeat=3))))
IgPgTg_to_XYZ(cases) |
Test :func:`colour.models.igpgtg.IgPgTg_to_XYZ` definition nan
support.
| test_nan_IgPgTg_to_XYZ | python | colour-science/colour | colour/models/tests/test_igpgtg.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_igpgtg.py | BSD-3-Clause |
def test_XYZ_to_IPT(self) -> None:
"""Test :func:`colour.models.ipt.XYZ_to_IPT` definition."""
np.testing.assert_allclose(
XYZ_to_IPT(np.array([0.20654008, 0.12197225, 0.05136952])),
np.array([0.38426191, 0.38487306, 0.18886838]),
atol=TOLERANCE_ABSOLUTE_TESTS,
... | Test :func:`colour.models.ipt.XYZ_to_IPT` definition. | test_XYZ_to_IPT | python | colour-science/colour | colour/models/tests/test_ipt.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_ipt.py | BSD-3-Clause |
def test_n_dimensional_XYZ_to_IPT(self) -> None:
"""
Test :func:`colour.models.ipt.XYZ_to_IPT` definition n-dimensional
support.
"""
XYZ = np.array([0.20654008, 0.12197225, 0.05136952])
IPT = XYZ_to_IPT(XYZ)
XYZ = np.tile(XYZ, (6, 1))
IPT = np.tile(IPT, ... |
Test :func:`colour.models.ipt.XYZ_to_IPT` definition n-dimensional
support.
| test_n_dimensional_XYZ_to_IPT | python | colour-science/colour | colour/models/tests/test_ipt.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_ipt.py | BSD-3-Clause |
def test_domain_range_scale_XYZ_to_IPT(self) -> None:
"""
Test :func:`colour.models.ipt.XYZ_to_IPT` definition domain and
range scale support.
"""
XYZ = np.array([0.20654008, 0.12197225, 0.05136952])
IPT = XYZ_to_IPT(XYZ)
d_r = (("reference", 1), ("1", 1), ("100... |
Test :func:`colour.models.ipt.XYZ_to_IPT` definition domain and
range scale support.
| test_domain_range_scale_XYZ_to_IPT | python | colour-science/colour | colour/models/tests/test_ipt.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_ipt.py | BSD-3-Clause |
def test_nan_XYZ_to_IPT(self) -> None:
"""Test :func:`colour.models.ipt.XYZ_to_IPT` definition nan support."""
cases = [-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]
cases = np.array(list(set(product(cases, repeat=3))))
XYZ_to_IPT(cases) | Test :func:`colour.models.ipt.XYZ_to_IPT` definition nan support. | test_nan_XYZ_to_IPT | python | colour-science/colour | colour/models/tests/test_ipt.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_ipt.py | BSD-3-Clause |
def test_IPT_to_XYZ(self) -> None:
"""Test :func:`colour.models.ipt.IPT_to_XYZ` definition."""
np.testing.assert_allclose(
IPT_to_XYZ(np.array([0.38426191, 0.38487306, 0.18886838])),
np.array([0.20654008, 0.12197225, 0.05136952]),
atol=TOLERANCE_ABSOLUTE_TESTS,
... | Test :func:`colour.models.ipt.IPT_to_XYZ` definition. | test_IPT_to_XYZ | python | colour-science/colour | colour/models/tests/test_ipt.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_ipt.py | BSD-3-Clause |
def test_n_dimensional_IPT_to_XYZ(self) -> None:
"""
Test :func:`colour.models.ipt.IPT_to_XYZ` definition n-dimensional
support.
"""
IPT = np.array([0.38426191, 0.38487306, 0.18886838])
XYZ = IPT_to_XYZ(IPT)
IPT = np.tile(IPT, (6, 1))
XYZ = np.tile(XYZ, ... |
Test :func:`colour.models.ipt.IPT_to_XYZ` definition n-dimensional
support.
| test_n_dimensional_IPT_to_XYZ | python | colour-science/colour | colour/models/tests/test_ipt.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_ipt.py | BSD-3-Clause |
def test_domain_range_scale_IPT_to_XYZ(self) -> None:
"""
Test :func:`colour.models.ipt.IPT_to_XYZ` definition domain and
range scale support.
"""
IPT = np.array([0.38426191, 0.38487306, 0.18886838])
XYZ = IPT_to_XYZ(IPT)
d_r = (("reference", 1), ("1", 1), ("100... |
Test :func:`colour.models.ipt.IPT_to_XYZ` definition domain and
range scale support.
| test_domain_range_scale_IPT_to_XYZ | python | colour-science/colour | colour/models/tests/test_ipt.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_ipt.py | BSD-3-Clause |
def test_nan_IPT_to_XYZ(self) -> None:
"""Test :func:`colour.models.ipt.IPT_to_XYZ` definition nan support."""
cases = [-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]
cases = np.array(list(set(product(cases, repeat=3))))
IPT_to_XYZ(cases) | Test :func:`colour.models.ipt.IPT_to_XYZ` definition nan support. | test_nan_IPT_to_XYZ | python | colour-science/colour | colour/models/tests/test_ipt.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_ipt.py | BSD-3-Clause |
def test_IPT_hue_angle(self) -> None:
"""Test :func:`colour.models.ipt.IPT_hue_angle` definition."""
np.testing.assert_allclose(
IPT_hue_angle(np.array([0.20654008, 0.12197225, 0.05136952])),
22.838754548625527,
atol=TOLERANCE_ABSOLUTE_TESTS,
)
np.te... | Test :func:`colour.models.ipt.IPT_hue_angle` definition. | test_IPT_hue_angle | python | colour-science/colour | colour/models/tests/test_ipt.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_ipt.py | BSD-3-Clause |
def test_n_dimensional_IPT_hue_angle(self) -> None:
"""
Test :func:`colour.models.ipt.IPT_hue_angle` definition n-dimensional
support.
"""
IPT = np.array([0.20654008, 0.12197225, 0.05136952])
hue = IPT_hue_angle(IPT)
IPT = np.tile(IPT, (6, 1))
hue = np.t... |
Test :func:`colour.models.ipt.IPT_hue_angle` definition n-dimensional
support.
| test_n_dimensional_IPT_hue_angle | python | colour-science/colour | colour/models/tests/test_ipt.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_ipt.py | BSD-3-Clause |
def test_domain_range_scale_IPT_hue_angle(self) -> None:
"""
Test :func:`colour.models.ipt.IPT_hue_angle` definition domain and
range scale support.
"""
IPT = np.array([0.20654008, 0.12197225, 0.05136952])
hue = IPT_hue_angle(IPT)
d_r = (("reference", 1, 1), ("1... |
Test :func:`colour.models.ipt.IPT_hue_angle` definition domain and
range scale support.
| test_domain_range_scale_IPT_hue_angle | python | colour-science/colour | colour/models/tests/test_ipt.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_ipt.py | BSD-3-Clause |
def test_nan_IPT_hue_angle(self) -> None:
"""Test :func:`colour.models.ipt.IPT_hue_angle` definition nan support."""
cases = [-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]
cases = np.array(list(set(product(cases, repeat=3))))
IPT_hue_angle(cases) | Test :func:`colour.models.ipt.IPT_hue_angle` definition nan support. | test_nan_IPT_hue_angle | python | colour-science/colour | colour/models/tests/test_ipt.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_ipt.py | BSD-3-Clause |
def test_XYZ_to_Izazbz(self) -> None:
"""Test :func:`colour.models.jzazbz.XYZ_to_Izazbz` definition."""
np.testing.assert_allclose(
XYZ_to_Izazbz(np.array([0.20654008, 0.12197225, 0.05136952])),
np.array([0.01207793, 0.00924302, 0.00526007]),
atol=TOLERANCE_ABSOLUTE_... | Test :func:`colour.models.jzazbz.XYZ_to_Izazbz` definition. | test_XYZ_to_Izazbz | python | colour-science/colour | colour/models/tests/test_jzazbz.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_jzazbz.py | BSD-3-Clause |
def test_n_dimensional_XYZ_to_Izazbz(self) -> None:
"""
Test :func:`colour.models.jzazbz.XYZ_to_Izazbz` definition
n-dimensional support.
"""
XYZ = np.array([0.20654008, 0.12197225, 0.05136952])
Izazbz = XYZ_to_Izazbz(XYZ)
XYZ = np.tile(XYZ, (6, 1))
Izaz... |
Test :func:`colour.models.jzazbz.XYZ_to_Izazbz` definition
n-dimensional support.
| test_n_dimensional_XYZ_to_Izazbz | python | colour-science/colour | colour/models/tests/test_jzazbz.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_jzazbz.py | BSD-3-Clause |
def test_domain_range_scale_XYZ_to_Izazbz(self) -> None:
"""
Test :func:`colour.models.jzazbz.XYZ_to_Izazbz` definition domain and
range scale support.
"""
XYZ = np.array([0.20654008, 0.12197225, 0.05136952])
Izazbz = XYZ_to_Izazbz(XYZ)
d_r = (("reference", 1), ... |
Test :func:`colour.models.jzazbz.XYZ_to_Izazbz` definition domain and
range scale support.
| test_domain_range_scale_XYZ_to_Izazbz | python | colour-science/colour | colour/models/tests/test_jzazbz.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_jzazbz.py | BSD-3-Clause |
def test_nan_XYZ_to_Izazbz(self) -> None:
"""
Test :func:`colour.models.jzazbz.XYZ_to_Izazbz` definition nan
support.
"""
cases = [-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]
cases = np.array(list(set(product(cases, repeat=3))))
XYZ_to_Izazbz(cases) |
Test :func:`colour.models.jzazbz.XYZ_to_Izazbz` definition nan
support.
| test_nan_XYZ_to_Izazbz | python | colour-science/colour | colour/models/tests/test_jzazbz.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_jzazbz.py | BSD-3-Clause |
def test_Izazbz_to_XYZ(self) -> None:
"""Test :func:`colour.models.jzazbz.Izazbz_to_XYZ` definition."""
np.testing.assert_allclose(
Izazbz_to_XYZ(np.array([0.01207793, 0.00924302, 0.00526007])),
np.array([0.20654008, 0.12197225, 0.05136952]),
atol=TOLERANCE_ABSOLUTE_... | Test :func:`colour.models.jzazbz.Izazbz_to_XYZ` definition. | test_Izazbz_to_XYZ | python | colour-science/colour | colour/models/tests/test_jzazbz.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_jzazbz.py | BSD-3-Clause |
def test_n_dimensional_Izazbz_to_XYZ(self) -> None:
"""
Test :func:`colour.models.jzazbz.Izazbz_to_XYZ` definition
n-dimensional support.
"""
Izazbz = np.array([0.01207793, 0.00924302, 0.00526007])
XYZ = Izazbz_to_XYZ(Izazbz)
Izazbz = np.tile(Izazbz, (6, 1))
... |
Test :func:`colour.models.jzazbz.Izazbz_to_XYZ` definition
n-dimensional support.
| test_n_dimensional_Izazbz_to_XYZ | python | colour-science/colour | colour/models/tests/test_jzazbz.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_jzazbz.py | BSD-3-Clause |
def test_domain_range_scale_Izazbz_to_XYZ(self) -> None:
"""
Test :func:`colour.models.jzazbz.Izazbz_to_XYZ` definition domain and
range scale support.
"""
Izazbz = np.array([0.01207793, 0.00924302, 0.00526007])
XYZ = Izazbz_to_XYZ(Izazbz)
d_r = (("reference", 1... |
Test :func:`colour.models.jzazbz.Izazbz_to_XYZ` definition domain and
range scale support.
| test_domain_range_scale_Izazbz_to_XYZ | python | colour-science/colour | colour/models/tests/test_jzazbz.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_jzazbz.py | BSD-3-Clause |
def test_nan_Izazbz_to_XYZ(self) -> None:
"""
Test :func:`colour.models.jzazbz.Izazbz_to_XYZ` definition nan
support.
"""
cases = [-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]
cases = np.array(list(set(product(cases, repeat=3))))
Izazbz_to_XYZ(cases) |
Test :func:`colour.models.jzazbz.Izazbz_to_XYZ` definition nan
support.
| test_nan_Izazbz_to_XYZ | python | colour-science/colour | colour/models/tests/test_jzazbz.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_jzazbz.py | BSD-3-Clause |
def test_XYZ_to_Jzazbz(self) -> None:
"""Test :func:`colour.models.jzazbz.XYZ_to_Jzazbz` definition."""
np.testing.assert_allclose(
XYZ_to_Jzazbz(np.array([0.20654008, 0.12197225, 0.05136952])),
np.array([0.00535048, 0.00924302, 0.00526007]),
atol=TOLERANCE_ABSOLUTE_... | Test :func:`colour.models.jzazbz.XYZ_to_Jzazbz` definition. | test_XYZ_to_Jzazbz | python | colour-science/colour | colour/models/tests/test_jzazbz.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_jzazbz.py | BSD-3-Clause |
def test_n_dimensional_XYZ_to_Jzazbz(self) -> None:
"""
Test :func:`colour.models.jzazbz.XYZ_to_Jzazbz` definition
n-dimensional support.
"""
XYZ = np.array([0.20654008, 0.12197225, 0.05136952])
Jzazbz = XYZ_to_Jzazbz(XYZ)
XYZ = np.tile(XYZ, (6, 1))
Jzaz... |
Test :func:`colour.models.jzazbz.XYZ_to_Jzazbz` definition
n-dimensional support.
| test_n_dimensional_XYZ_to_Jzazbz | python | colour-science/colour | colour/models/tests/test_jzazbz.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_jzazbz.py | BSD-3-Clause |
def test_domain_range_scale_XYZ_to_Jzazbz(self) -> None:
"""
Test :func:`colour.models.jzazbz.XYZ_to_Jzazbz` definition domain and
range scale support.
"""
XYZ = np.array([0.20654008, 0.12197225, 0.05136952])
Jzazbz = XYZ_to_Jzazbz(XYZ)
d_r = (("reference", 1), ... |
Test :func:`colour.models.jzazbz.XYZ_to_Jzazbz` definition domain and
range scale support.
| test_domain_range_scale_XYZ_to_Jzazbz | python | colour-science/colour | colour/models/tests/test_jzazbz.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_jzazbz.py | BSD-3-Clause |
def test_nan_XYZ_to_Jzazbz(self) -> None:
"""
Test :func:`colour.models.jzazbz.XYZ_to_Jzazbz` definition nan
support.
"""
cases = [-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]
cases = np.array(list(set(product(cases, repeat=3))))
XYZ_to_Jzazbz(cases) |
Test :func:`colour.models.jzazbz.XYZ_to_Jzazbz` definition nan
support.
| test_nan_XYZ_to_Jzazbz | python | colour-science/colour | colour/models/tests/test_jzazbz.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_jzazbz.py | BSD-3-Clause |
def test_Jzazbz_to_XYZ(self) -> None:
"""Test :func:`colour.models.jzazbz.Jzazbz_to_XYZ` definition."""
np.testing.assert_allclose(
Jzazbz_to_XYZ(np.array([0.00535048, 0.00924302, 0.00526007])),
np.array([0.20654008, 0.12197225, 0.05136952]),
atol=1e-6,
)
... | Test :func:`colour.models.jzazbz.Jzazbz_to_XYZ` definition. | test_Jzazbz_to_XYZ | python | colour-science/colour | colour/models/tests/test_jzazbz.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_jzazbz.py | BSD-3-Clause |
def test_n_dimensional_Jzazbz_to_XYZ(self) -> None:
"""
Test :func:`colour.models.jzazbz.Jzazbz_to_XYZ` definition
n-dimensional support.
"""
Jzazbz = np.array([0.00535048, 0.00924302, 0.00526007])
XYZ = Jzazbz_to_XYZ(Jzazbz)
Jzazbz = np.tile(Jzazbz, (6, 1))
... |
Test :func:`colour.models.jzazbz.Jzazbz_to_XYZ` definition
n-dimensional support.
| test_n_dimensional_Jzazbz_to_XYZ | python | colour-science/colour | colour/models/tests/test_jzazbz.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_jzazbz.py | BSD-3-Clause |
def test_domain_range_scale_Jzazbz_to_XYZ(self) -> None:
"""
Test :func:`colour.models.jzazbz.Jzazbz_to_XYZ` definition domain and
range scale support.
"""
Jzazbz = np.array([0.00535048, 0.00924302, 0.00526007])
XYZ = Jzazbz_to_XYZ(Jzazbz)
d_r = (("reference", 1... |
Test :func:`colour.models.jzazbz.Jzazbz_to_XYZ` definition domain and
range scale support.
| test_domain_range_scale_Jzazbz_to_XYZ | python | colour-science/colour | colour/models/tests/test_jzazbz.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_jzazbz.py | BSD-3-Clause |
def test_nan_Jzazbz_to_XYZ(self) -> None:
"""
Test :func:`colour.models.jzazbz.Jzazbz_to_XYZ` definition nan
support.
"""
cases = [-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]
cases = np.array(list(set(product(cases, repeat=3))))
Jzazbz_to_XYZ(cases) |
Test :func:`colour.models.jzazbz.Jzazbz_to_XYZ` definition nan
support.
| test_nan_Jzazbz_to_XYZ | python | colour-science/colour | colour/models/tests/test_jzazbz.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_jzazbz.py | BSD-3-Clause |
def test_XYZ_to_Oklab(self) -> None:
"""Test :func:`colour.models.oklab.XYZ_to_Oklab` definition."""
np.testing.assert_allclose(
XYZ_to_Oklab(np.array([0.20654008, 0.12197225, 0.05136952])),
np.array([0.51634019, 0.15469500, 0.06289579]),
atol=TOLERANCE_ABSOLUTE_TEST... | Test :func:`colour.models.oklab.XYZ_to_Oklab` definition. | test_XYZ_to_Oklab | python | colour-science/colour | colour/models/tests/test_oklab.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_oklab.py | BSD-3-Clause |
def test_n_dimensional_XYZ_to_Oklab(self) -> None:
"""
Test :func:`colour.models.oklab.XYZ_to_Oklab` definition
n-dimensional support.
"""
XYZ = np.array([0.20654008, 0.12197225, 0.05136952])
Oklab = XYZ_to_Oklab(XYZ)
XYZ = np.tile(XYZ, (6, 1))
Oklab = n... |
Test :func:`colour.models.oklab.XYZ_to_Oklab` definition
n-dimensional support.
| test_n_dimensional_XYZ_to_Oklab | python | colour-science/colour | colour/models/tests/test_oklab.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_oklab.py | BSD-3-Clause |
def test_domain_range_scale_XYZ_to_Oklab(self) -> None:
"""
Test :func:`colour.models.oklab.XYZ_to_Oklab` definition domain and
range scale support.
"""
XYZ = np.array([0.20654008, 0.12197225, 0.05136952])
Oklab = XYZ_to_Oklab(XYZ)
d_r = (("reference", 1), ("1",... |
Test :func:`colour.models.oklab.XYZ_to_Oklab` definition domain and
range scale support.
| test_domain_range_scale_XYZ_to_Oklab | python | colour-science/colour | colour/models/tests/test_oklab.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_oklab.py | BSD-3-Clause |
def test_nan_XYZ_to_Oklab(self) -> None:
"""
Test :func:`colour.models.oklab.XYZ_to_Oklab` definition nan
support.
"""
cases = [-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]
cases = np.array(list(set(product(cases, repeat=3))))
XYZ_to_Oklab(cases) |
Test :func:`colour.models.oklab.XYZ_to_Oklab` definition nan
support.
| test_nan_XYZ_to_Oklab | python | colour-science/colour | colour/models/tests/test_oklab.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_oklab.py | BSD-3-Clause |
def test_Oklab_to_XYZ(self) -> None:
"""Test :func:`colour.models.oklab.Oklab_to_XYZ` definition."""
np.testing.assert_allclose(
Oklab_to_XYZ(np.array([0.51634019, 0.15469500, 0.06289579])),
np.array([0.20654008, 0.12197225, 0.05136952]),
atol=1e-6,
)
... | Test :func:`colour.models.oklab.Oklab_to_XYZ` definition. | test_Oklab_to_XYZ | python | colour-science/colour | colour/models/tests/test_oklab.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_oklab.py | BSD-3-Clause |
def test_n_dimensional_Oklab_to_XYZ(self) -> None:
"""
Test :func:`colour.models.oklab.Oklab_to_XYZ` definition
n-dimensional support.
"""
Oklab = np.array([0.51634019, 0.15469500, 0.06289579])
XYZ = Oklab_to_XYZ(Oklab)
Oklab = np.tile(Oklab, (6, 1))
XYZ... |
Test :func:`colour.models.oklab.Oklab_to_XYZ` definition
n-dimensional support.
| test_n_dimensional_Oklab_to_XYZ | python | colour-science/colour | colour/models/tests/test_oklab.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_oklab.py | BSD-3-Clause |
def test_domain_range_scale_Oklab_to_XYZ(self) -> None:
"""
Test :func:`colour.models.oklab.Oklab_to_XYZ` definition domain and
range scale support.
"""
Oklab = np.array([0.51634019, 0.15469500, 0.06289579])
XYZ = Oklab_to_XYZ(Oklab)
d_r = (("reference", 1), ("1... |
Test :func:`colour.models.oklab.Oklab_to_XYZ` definition domain and
range scale support.
| test_domain_range_scale_Oklab_to_XYZ | python | colour-science/colour | colour/models/tests/test_oklab.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_oklab.py | BSD-3-Clause |
def test_nan_Oklab_to_XYZ(self) -> None:
"""
Test :func:`colour.models.oklab.Oklab_to_XYZ` definition nan
support.
"""
cases = [-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]
cases = np.array(list(set(product(cases, repeat=3))))
Oklab_to_XYZ(cases) |
Test :func:`colour.models.oklab.Oklab_to_XYZ` definition nan
support.
| test_nan_Oklab_to_XYZ | python | colour-science/colour | colour/models/tests/test_oklab.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_oklab.py | BSD-3-Clause |
def test_n_dimensional_XYZ_to_OSA_UCS(self) -> None:
"""
Test :func:`colour.models.osa_ucs.XYZ_to_OSA_UCS` definition
n-dimensional support.
"""
XYZ = np.array([0.20654008, 0.12197225, 0.05136952]) * 100
Ljg = XYZ_to_OSA_UCS(XYZ)
XYZ = np.tile(XYZ, (6, 1))
... |
Test :func:`colour.models.osa_ucs.XYZ_to_OSA_UCS` definition
n-dimensional support.
| test_n_dimensional_XYZ_to_OSA_UCS | python | colour-science/colour | colour/models/tests/test_osa_ucs.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_osa_ucs.py | BSD-3-Clause |
def test_domain_range_scale_XYZ_to_OSA_UCS(self) -> None:
"""
Test :func:`colour.models.osa_ucs.XYZ_to_OSA_UCS` definition domain
and range scale support.
"""
XYZ = np.array([0.20654008, 0.12197225, 0.05136952]) * 100
Ljg = XYZ_to_OSA_UCS(XYZ)
d_r = (("reference... |
Test :func:`colour.models.osa_ucs.XYZ_to_OSA_UCS` definition domain
and range scale support.
| test_domain_range_scale_XYZ_to_OSA_UCS | python | colour-science/colour | colour/models/tests/test_osa_ucs.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_osa_ucs.py | BSD-3-Clause |
def test_nan_XYZ_to_OSA_UCS(self) -> None:
"""
Test :func:`colour.models.osa_ucs.XYZ_to_OSA_UCS` definition nan
support.
"""
cases = [-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]
cases = np.array(list(set(product(cases, repeat=3))))
XYZ_to_OSA_UCS(cases) |
Test :func:`colour.models.osa_ucs.XYZ_to_OSA_UCS` definition nan
support.
| test_nan_XYZ_to_OSA_UCS | python | colour-science/colour | colour/models/tests/test_osa_ucs.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_osa_ucs.py | BSD-3-Clause |
def test_n_dimensional_OSA_UCS_to_XYZ(self) -> None:
"""
Test :func:`colour.models.osa_ucs.OSA_UCS_to_XYZ` definition
n-dimensional support.
"""
Ljg = np.array([-3.00499790, 2.99713697, -9.66784231])
XYZ = OSA_UCS_to_XYZ(Ljg)
Ljg = np.tile(Ljg, (6, 1))
X... |
Test :func:`colour.models.osa_ucs.OSA_UCS_to_XYZ` definition
n-dimensional support.
| test_n_dimensional_OSA_UCS_to_XYZ | python | colour-science/colour | colour/models/tests/test_osa_ucs.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_osa_ucs.py | BSD-3-Clause |
def test_domain_range_scale_OSA_UCS_to_XYZ(self) -> None:
"""
Test :func:`colour.models.osa_ucs.OSA_UCS_to_XYZ` definition domain
and range scale support.
"""
Ljg = np.array([-3.00499790, 2.99713697, -9.66784231])
XYZ = OSA_UCS_to_XYZ(Ljg)
d_r = (("reference", 1... |
Test :func:`colour.models.osa_ucs.OSA_UCS_to_XYZ` definition domain
and range scale support.
| test_domain_range_scale_OSA_UCS_to_XYZ | python | colour-science/colour | colour/models/tests/test_osa_ucs.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_osa_ucs.py | BSD-3-Clause |
def test_nan_OSA_UCS_to_XYZ(self) -> None:
"""
Test :func:`colour.models.osa_ucs.OSA_UCS_to_XYZ` definition nan
support.
"""
cases = [-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]
cases = np.array(list(set(product(cases, repeat=3))))
OSA_UCS_to_XYZ(cases) |
Test :func:`colour.models.osa_ucs.OSA_UCS_to_XYZ` definition nan
support.
| test_nan_OSA_UCS_to_XYZ | python | colour-science/colour | colour/models/tests/test_osa_ucs.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_osa_ucs.py | BSD-3-Clause |
def test_XYZ_to_ProLab(self) -> None:
"""Test :func:`colour.models.ProLab.XYZ_to_ProLab` definition."""
np.testing.assert_allclose(
XYZ_to_ProLab(np.array([0.20654008, 0.12197225, 0.05136952])),
np.array([48.7948929, 35.31503175, 13.30044932]),
atol=TOLERANCE_ABSOLUT... | Test :func:`colour.models.ProLab.XYZ_to_ProLab` definition. | test_XYZ_to_ProLab | python | colour-science/colour | colour/models/tests/test_prolab.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_prolab.py | BSD-3-Clause |
def test_n_dimensional_XYZ_to_ProLab(self) -> None:
"""
Test :func:`colour.models.prolab.XYZ_to_ProLab` definition
n-dimensional support.
"""
XYZ = np.array([0.20654008, 0.12197225, 0.05136952])
ProLab = XYZ_to_ProLab(XYZ)
XYZ = np.tile(XYZ, (6, 1))
ProL... |
Test :func:`colour.models.prolab.XYZ_to_ProLab` definition
n-dimensional support.
| test_n_dimensional_XYZ_to_ProLab | python | colour-science/colour | colour/models/tests/test_prolab.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_prolab.py | BSD-3-Clause |
def test_domain_range_scale_XYZ_to_ProLab(self) -> None:
"""
Test :func:`colour.models.prolab.XYZ_to_ProLab` definition domain and
range scale support.
"""
XYZ = np.array([0.20654008, 0.12197225, 0.05136952])
ProLab = XYZ_to_ProLab(XYZ)
d_r = (("reference", 1), ... |
Test :func:`colour.models.prolab.XYZ_to_ProLab` definition domain and
range scale support.
| test_domain_range_scale_XYZ_to_ProLab | python | colour-science/colour | colour/models/tests/test_prolab.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_prolab.py | BSD-3-Clause |
def test_nan_XYZ_to_ProLab(self) -> None:
"""
Test :func:`colour.models.ProLab.XYZ_to_ProLab` definition
nan support.
"""
cases = [-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]
cases = np.array(list(set(product(cases, repeat=3))))
XYZ_to_ProLab(cases) |
Test :func:`colour.models.ProLab.XYZ_to_ProLab` definition
nan support.
| test_nan_XYZ_to_ProLab | python | colour-science/colour | colour/models/tests/test_prolab.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_prolab.py | BSD-3-Clause |
def test_ProLab_to_XYZ(self) -> None:
"""Test :func:`colour.models.ProLab.ProLab_to_XYZ` definition."""
np.testing.assert_allclose(
ProLab_to_XYZ(np.array([48.7948929, 35.31503175, 13.30044932])),
np.array([0.20654008, 0.12197225, 0.05136952]),
atol=TOLERANCE_ABSOLUT... | Test :func:`colour.models.ProLab.ProLab_to_XYZ` definition. | test_ProLab_to_XYZ | python | colour-science/colour | colour/models/tests/test_prolab.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_prolab.py | BSD-3-Clause |
def test_nan_ProLab_to_XYZ(self) -> None:
"""
Test :func:`colour.models.ProLab.ProLab_to_XYZ` definition nan
support.
"""
cases = [-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]
cases = np.array(list(set(product(cases, repeat=3))))
ProLab_to_XYZ(cases) |
Test :func:`colour.models.ProLab.ProLab_to_XYZ` definition nan
support.
| test_nan_ProLab_to_XYZ | python | colour-science/colour | colour/models/tests/test_prolab.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_prolab.py | BSD-3-Clause |
def test_n_dimensional_XYZ_to_IPT_Ragoo2021(self) -> None:
"""
Test :func:`colour.models.ragoo2021.XYZ_to_IPT_Ragoo2021` definition
n-dimensional support.
"""
XYZ = np.array([0.20654008, 0.12197225, 0.05136952])
IPT = XYZ_to_IPT_Ragoo2021(XYZ)
XYZ = np.tile(XYZ,... |
Test :func:`colour.models.ragoo2021.XYZ_to_IPT_Ragoo2021` definition
n-dimensional support.
| test_n_dimensional_XYZ_to_IPT_Ragoo2021 | python | colour-science/colour | colour/models/tests/test_ragoo2021.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_ragoo2021.py | BSD-3-Clause |
def test_domain_range_scale_XYZ_to_IPT_Ragoo2021(self) -> None:
"""
Test :func:`colour.models.ragoo2021.XYZ_to_IPT_Ragoo2021` definition
domain and range scale support.
"""
XYZ = np.array([0.20654008, 0.12197225, 0.05136952])
IPT = XYZ_to_IPT_Ragoo2021(XYZ)
d_r ... |
Test :func:`colour.models.ragoo2021.XYZ_to_IPT_Ragoo2021` definition
domain and range scale support.
| test_domain_range_scale_XYZ_to_IPT_Ragoo2021 | python | colour-science/colour | colour/models/tests/test_ragoo2021.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_ragoo2021.py | BSD-3-Clause |
def test_nan_XYZ_to_IPT_Ragoo2021(self) -> None:
"""
Test :func:`colour.models.ragoo2021.XYZ_to_IPT_Ragoo2021` definition
nan support.
"""
cases = [-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]
cases = np.array(list(set(product(cases, repeat=3))))
XYZ_to_IPT_Ragoo2021... |
Test :func:`colour.models.ragoo2021.XYZ_to_IPT_Ragoo2021` definition
nan support.
| test_nan_XYZ_to_IPT_Ragoo2021 | python | colour-science/colour | colour/models/tests/test_ragoo2021.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_ragoo2021.py | BSD-3-Clause |
def test_n_dimensional_IPT_Ragoo2021_to_XYZ(self) -> None:
"""
Test :func:`colour.models.ragoo2021.IPT_Ragoo2021_to_XYZ` definition
n-dimensional support.
"""
IPT = np.array([0.42248243, 0.29105140, 0.20410663])
XYZ = IPT_Ragoo2021_to_XYZ(IPT)
IPT = np.tile(IPT,... |
Test :func:`colour.models.ragoo2021.IPT_Ragoo2021_to_XYZ` definition
n-dimensional support.
| test_n_dimensional_IPT_Ragoo2021_to_XYZ | python | colour-science/colour | colour/models/tests/test_ragoo2021.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_ragoo2021.py | BSD-3-Clause |
def test_domain_range_scale_IPT_Ragoo2021_to_XYZ(self) -> None:
"""
Test :func:`colour.models.ragoo2021.IPT_Ragoo2021_to_XYZ` definition
domain and range scale support.
"""
IPT = np.array([0.42248243, 0.29105140, 0.20410663])
XYZ = IPT_Ragoo2021_to_XYZ(IPT)
d_r ... |
Test :func:`colour.models.ragoo2021.IPT_Ragoo2021_to_XYZ` definition
domain and range scale support.
| test_domain_range_scale_IPT_Ragoo2021_to_XYZ | python | colour-science/colour | colour/models/tests/test_ragoo2021.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_ragoo2021.py | BSD-3-Clause |
def test_nan_IPT_Ragoo2021_to_XYZ(self) -> None:
"""
Test :func:`colour.models.ragoo2021.IPT_Ragoo2021_to_XYZ` definition
nan support.
"""
cases = [-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]
cases = np.array(list(set(product(cases, repeat=3))))
IPT_Ragoo2021_to_XYZ... |
Test :func:`colour.models.ragoo2021.IPT_Ragoo2021_to_XYZ` definition
nan support.
| test_nan_IPT_Ragoo2021_to_XYZ | python | colour-science/colour | colour/models/tests/test_ragoo2021.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_ragoo2021.py | BSD-3-Clause |
def test_LMS_to_Yrg(self) -> None:
"""Test :func:`colour.models.yrg.LMS_to_Yrg` definition."""
np.testing.assert_allclose(
LMS_to_Yrg(np.array([0.15639195, 0.06741689, 0.03281398])),
np.array([0.13137801, 0.49037644, 0.37777391]),
atol=TOLERANCE_ABSOLUTE_TESTS,
... | Test :func:`colour.models.yrg.LMS_to_Yrg` definition. | test_LMS_to_Yrg | python | colour-science/colour | colour/models/tests/test_yrg.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_yrg.py | BSD-3-Clause |
def test_n_dimensional_LMS_to_Yrg(self) -> None:
"""
Test :func:`colour.models.yrg.LMS_to_Yrg` definition n-dimensional
support.
"""
LMS = np.array([0.15639195, 0.06741689, 0.03281398])
Yrg = LMS_to_Yrg(LMS)
LMS = np.tile(LMS, (6, 1))
Yrg = np.tile(Yrg, ... |
Test :func:`colour.models.yrg.LMS_to_Yrg` definition n-dimensional
support.
| test_n_dimensional_LMS_to_Yrg | python | colour-science/colour | colour/models/tests/test_yrg.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_yrg.py | BSD-3-Clause |
def test_domain_range_scale_LMS_to_Yrg(self) -> None:
"""
Test :func:`colour.models.yrg.LMS_to_Yrg` definition domain and range
scale support.
"""
LMS = np.array([0.15639195, 0.06741689, 0.03281398])
Yrg = LMS_to_Yrg(LMS)
d_r = (("reference", 1), ("1", 1), ("100... |
Test :func:`colour.models.yrg.LMS_to_Yrg` definition domain and range
scale support.
| test_domain_range_scale_LMS_to_Yrg | python | colour-science/colour | colour/models/tests/test_yrg.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_yrg.py | BSD-3-Clause |
def test_nan_LMS_to_Yrg(self) -> None:
"""Test :func:`colour.models.yrg.LMS_to_Yrg` definition nan support."""
cases = [-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]
cases = np.array(list(set(product(cases, repeat=3))))
LMS_to_Yrg(cases) | Test :func:`colour.models.yrg.LMS_to_Yrg` definition nan support. | test_nan_LMS_to_Yrg | python | colour-science/colour | colour/models/tests/test_yrg.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_yrg.py | BSD-3-Clause |
def test_Yrg_to_LMS(self) -> None:
"""Test :func:`colour.models.yrg.Yrg_to_LMS` definition."""
np.testing.assert_allclose(
Yrg_to_LMS(np.array([0.13137801, 0.49037644, 0.37777391])),
np.array([0.15639195, 0.06741689, 0.03281398]),
atol=1e-4,
)
np.tes... | Test :func:`colour.models.yrg.Yrg_to_LMS` definition. | test_Yrg_to_LMS | python | colour-science/colour | colour/models/tests/test_yrg.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_yrg.py | BSD-3-Clause |
def test_n_dimensional_Yrg_to_LMS(self) -> None:
"""
Test :func:`colour.models.yrg.Yrg_to_LMS` definition n-dimensional
support.
"""
Yrg = np.array([0.00535048, 0.00924302, 0.00526007])
LMS = Yrg_to_LMS(Yrg)
Yrg = np.tile(Yrg, (6, 1))
LMS = np.tile(LMS, ... |
Test :func:`colour.models.yrg.Yrg_to_LMS` definition n-dimensional
support.
| test_n_dimensional_Yrg_to_LMS | python | colour-science/colour | colour/models/tests/test_yrg.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_yrg.py | BSD-3-Clause |
def test_domain_range_scale_Yrg_to_LMS(self) -> None:
"""
Test :func:`colour.models.yrg.Yrg_to_LMS` definition domain and range
scale support.
"""
Yrg = np.array([0.00535048, 0.00924302, 0.00526007])
LMS = Yrg_to_LMS(Yrg)
d_r = (("reference", 1), ("1", 1), ("100... |
Test :func:`colour.models.yrg.Yrg_to_LMS` definition domain and range
scale support.
| test_domain_range_scale_Yrg_to_LMS | python | colour-science/colour | colour/models/tests/test_yrg.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_yrg.py | BSD-3-Clause |
def test_nan_Yrg_to_LMS(self) -> None:
"""Test :func:`colour.models.yrg.Yrg_to_LMS` definition nan support."""
cases = [-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]
cases = np.array(list(set(product(cases, repeat=3))))
Yrg_to_LMS(cases) | Test :func:`colour.models.yrg.Yrg_to_LMS` definition nan support. | test_nan_Yrg_to_LMS | python | colour-science/colour | colour/models/tests/test_yrg.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_yrg.py | BSD-3-Clause |
def test_XYZ_to_Yrg(self) -> None:
"""Test :func:`colour.models.yrg.XYZ_to_Yrg` definition."""
np.testing.assert_allclose(
XYZ_to_Yrg(np.array([0.20654008, 0.12197225, 0.05136952])),
np.array([0.13137801, 0.49037645, 0.37777388]),
atol=TOLERANCE_ABSOLUTE_TESTS,
... | Test :func:`colour.models.yrg.XYZ_to_Yrg` definition. | test_XYZ_to_Yrg | python | colour-science/colour | colour/models/tests/test_yrg.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_yrg.py | BSD-3-Clause |
def test_n_dimensional_XYZ_to_Yrg(self) -> None:
"""
Test :func:`colour.models.yrg.XYZ_to_Yrg` definition n-dimensional
support.
"""
XYZ = np.array([0.20654008, 0.12197225, 0.05136952])
Yrg = XYZ_to_Yrg(XYZ)
XYZ = np.tile(XYZ, (6, 1))
Yrg = np.tile(Yrg, ... |
Test :func:`colour.models.yrg.XYZ_to_Yrg` definition n-dimensional
support.
| test_n_dimensional_XYZ_to_Yrg | python | colour-science/colour | colour/models/tests/test_yrg.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_yrg.py | BSD-3-Clause |
def test_domain_range_scale_XYZ_to_Yrg(self) -> None:
"""
Test :func:`colour.models.yrg.XYZ_to_Yrg` definition domain and range
scale support.
"""
XYZ = np.array([0.20654008, 0.12197225, 0.05136952])
Yrg = XYZ_to_Yrg(XYZ)
d_r = (("reference", 1), ("1", 1), ("100... |
Test :func:`colour.models.yrg.XYZ_to_Yrg` definition domain and range
scale support.
| test_domain_range_scale_XYZ_to_Yrg | python | colour-science/colour | colour/models/tests/test_yrg.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_yrg.py | BSD-3-Clause |
def test_nan_XYZ_to_Yrg(self) -> None:
"""Test :func:`colour.models.yrg.XYZ_to_Yrg` definition nan support."""
cases = [-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]
cases = np.array(list(set(product(cases, repeat=3))))
XYZ_to_Yrg(cases) | Test :func:`colour.models.yrg.XYZ_to_Yrg` definition nan support. | test_nan_XYZ_to_Yrg | python | colour-science/colour | colour/models/tests/test_yrg.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_yrg.py | BSD-3-Clause |
def test_Yrg_to_XYZ(self) -> None:
"""Test :func:`colour.models.yrg.Yrg_to_XYZ` definition."""
np.testing.assert_allclose(
Yrg_to_XYZ(np.array([0.13137801, 0.49037645, 0.37777388])),
np.array([0.20654008, 0.12197225, 0.05136952]),
atol=1e-4,
)
np.tes... | Test :func:`colour.models.yrg.Yrg_to_XYZ` definition. | test_Yrg_to_XYZ | python | colour-science/colour | colour/models/tests/test_yrg.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_yrg.py | BSD-3-Clause |
def test_n_dimensional_Yrg_to_XYZ(self) -> None:
"""
Test :func:`colour.models.yrg.Yrg_to_XYZ` definition n-dimensional
support.
"""
Yrg = np.array([0.13137801, 0.49037645, 0.37777388])
XYZ = Yrg_to_XYZ(Yrg)
Yrg = np.tile(Yrg, (6, 1))
XYZ = np.tile(XYZ, ... |
Test :func:`colour.models.yrg.Yrg_to_XYZ` definition n-dimensional
support.
| test_n_dimensional_Yrg_to_XYZ | python | colour-science/colour | colour/models/tests/test_yrg.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_yrg.py | BSD-3-Clause |
def test_domain_range_scale_Yrg_to_XYZ(self) -> None:
"""
Test :func:`colour.models.yrg.Yrg_to_XYZ` definition domain and range
scale support.
"""
Yrg = np.array([0.13137801, 0.49037645, 0.37777388])
XYZ = Yrg_to_XYZ(Yrg)
d_r = (("reference", 1), ("1", 1), ("100... |
Test :func:`colour.models.yrg.Yrg_to_XYZ` definition domain and range
scale support.
| test_domain_range_scale_Yrg_to_XYZ | python | colour-science/colour | colour/models/tests/test_yrg.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_yrg.py | BSD-3-Clause |
def test_nan_Yrg_to_XYZ(self) -> None:
"""Test :func:`colour.models.yrg.Yrg_to_XYZ` definition nan support."""
cases = [-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]
cases = np.array(list(set(product(cases, repeat=3))))
Yrg_to_XYZ(cases) | Test :func:`colour.models.yrg.Yrg_to_XYZ` definition nan support. | test_nan_Yrg_to_XYZ | python | colour-science/colour | colour/models/tests/test_yrg.py | https://github.com/colour-science/colour/blob/master/colour/models/tests/test_yrg.py | BSD-3-Clause |
def RGB_to_HEX(RGB: ArrayLike) -> NDArrayStr:
"""
Convert from *RGB* colourspace to hexadecimal representation.
Parameters
----------
RGB
*RGB* colourspace array.
Returns
-------
:class:`str` or :class:`numpy.array`
Hexadecimal representation.
Notes
-----
+... |
Convert from *RGB* colourspace to hexadecimal representation.
Parameters
----------
RGB
*RGB* colourspace array.
Returns
-------
:class:`str` or :class:`numpy.array`
Hexadecimal representation.
Notes
-----
+------------+-----------------------+---------------+... | RGB_to_HEX | python | colour-science/colour | colour/notation/hexadecimal.py | https://github.com/colour-science/colour/blob/master/colour/notation/hexadecimal.py | BSD-3-Clause |
def HEX_to_RGB(HEX: ArrayLike) -> NDArrayFloat:
"""
Convert from hexadecimal representation to *RGB* colourspace.
Parameters
----------
HEX
Hexadecimal representation.
Returns
-------
:class:`numpy.array`
*RGB* colourspace array.
Notes
-----
+-----------+--... |
Convert from hexadecimal representation to *RGB* colourspace.
Parameters
----------
HEX
Hexadecimal representation.
Returns
-------
:class:`numpy.array`
*RGB* colourspace array.
Notes
-----
+-----------+-----------------------+---------------+
| **Range** ... | HEX_to_RGB | python | colour-science/colour | colour/notation/hexadecimal.py | https://github.com/colour-science/colour/blob/master/colour/notation/hexadecimal.py | BSD-3-Clause |
def to_RGB(x: list) -> list:
"""Convert specified hexadecimal representation to *RGB*."""
l_x = len(x)
return [
int(x[i : i + l_x // 3], 16) # pyright: ignore
for i in range(0, l_x, l_x // 3)
] | Convert specified hexadecimal representation to *RGB*. | to_RGB | python | colour-science/colour | colour/notation/hexadecimal.py | https://github.com/colour-science/colour/blob/master/colour/notation/hexadecimal.py | BSD-3-Clause |
def _munsell_specifications() -> NDArrayFloat:
"""
Return the *Munsell Renotation System* specifications and caches them if
not existing.
The *Munsell Renotation System* data is stored in
:attr:`colour.notation.MUNSELL_COLOURS` attribute in a 2 columns form::
(
(("2.5GY", 0.2, ... |
Return the *Munsell Renotation System* specifications and caches them if
not existing.
The *Munsell Renotation System* data is stored in
:attr:`colour.notation.MUNSELL_COLOURS` attribute in a 2 columns form::
(
(("2.5GY", 0.2, 2.0), (0.713, 1.414, 0.237)),
(("5GY", 0.2... | _munsell_specifications | python | colour-science/colour | colour/notation/munsell.py | https://github.com/colour-science/colour/blob/master/colour/notation/munsell.py | BSD-3-Clause |
def _munsell_value_ASTMD1535_interpolator() -> Extrapolator:
"""
Return the *Munsell* value interpolator for *ASTM D1535-08e1* method and
caches it if not existing.
Returns
-------
:class:`colour.Extrapolator`
*Munsell* value interpolator for *ASTM D1535-08e1* method.
"""
globa... |
Return the *Munsell* value interpolator for *ASTM D1535-08e1* method and
caches it if not existing.
Returns
-------
:class:`colour.Extrapolator`
*Munsell* value interpolator for *ASTM D1535-08e1* method.
| _munsell_value_ASTMD1535_interpolator | python | colour-science/colour | colour/notation/munsell.py | https://github.com/colour-science/colour/blob/master/colour/notation/munsell.py | BSD-3-Clause |
def _munsell_maximum_chromas_from_renotation() -> (
Tuple[Tuple[Tuple[float, float], float], ...]
):
"""
Return the maximum *Munsell* chromas from *Munsell Renotation System* data
and caches them if not existing.
Returns
-------
:class:`tuple`
Maximum *Munsell* chromas.
"""
... |
Return the maximum *Munsell* chromas from *Munsell Renotation System* data
and caches them if not existing.
Returns
-------
:class:`tuple`
Maximum *Munsell* chromas.
| _munsell_maximum_chromas_from_renotation | python | colour-science/colour | colour/notation/munsell.py | https://github.com/colour-science/colour/blob/master/colour/notation/munsell.py | BSD-3-Clause |
def munsell_value_Priest1920(Y: ArrayLike) -> NDArrayFloat:
"""
Compute the *Munsell* value :math:`V` of specified *luminance* :math:`Y` using
*Priest et al. (1920)* method.
Parameters
----------
Y
*Luminance* :math:`Y`.
Returns
-------
:class:`np.float` or :class:`numpy.ND... |
Compute the *Munsell* value :math:`V` of specified *luminance* :math:`Y` using
*Priest et al. (1920)* method.
Parameters
----------
Y
*Luminance* :math:`Y`.
Returns
-------
:class:`np.float` or :class:`numpy.NDArrayFloat`
*Munsell* value :math:`V`.
Notes
-----... | munsell_value_Priest1920 | python | colour-science/colour | colour/notation/munsell.py | https://github.com/colour-science/colour/blob/master/colour/notation/munsell.py | BSD-3-Clause |
def munsell_value_Munsell1933(Y: ArrayLike) -> NDArrayFloat:
"""
Compute the *Munsell* value :math:`V` of specified *luminance* :math:`Y` using
*Munsell et al. (1933)* method.
Parameters
----------
Y
*Luminance* :math:`Y`.
Returns
-------
:class:`np.float` or :class:`numpy.... |
Compute the *Munsell* value :math:`V` of specified *luminance* :math:`Y` using
*Munsell et al. (1933)* method.
Parameters
----------
Y
*Luminance* :math:`Y`.
Returns
-------
:class:`np.float` or :class:`numpy.NDArrayFloat`
*Munsell* value :math:`V`.
Notes
----... | munsell_value_Munsell1933 | python | colour-science/colour | colour/notation/munsell.py | https://github.com/colour-science/colour/blob/master/colour/notation/munsell.py | BSD-3-Clause |
def munsell_value_Moon1943(Y: ArrayLike) -> NDArrayFloat:
"""
Compute the *Munsell* value :math:`V` of specified *luminance* :math:`Y` using
*Moon and Spencer (1943)* method.
Parameters
----------
Y
*Luminance* :math:`Y`.
Returns
-------
:class:`np.float` or :class:`numpy.... |
Compute the *Munsell* value :math:`V` of specified *luminance* :math:`Y` using
*Moon and Spencer (1943)* method.
Parameters
----------
Y
*Luminance* :math:`Y`.
Returns
-------
:class:`np.float` or :class:`numpy.NDArrayFloat`
*Munsell* value :math:`V`.
Notes
-... | munsell_value_Moon1943 | python | colour-science/colour | colour/notation/munsell.py | https://github.com/colour-science/colour/blob/master/colour/notation/munsell.py | BSD-3-Clause |
def munsell_value_Saunderson1944(Y: ArrayLike) -> NDArrayFloat:
"""
Compute the *Munsell* value :math:`V` of specified *luminance* :math:`Y` using
*Saunderson and Milner (1944)* method.
Parameters
----------
Y
*Luminance* :math:`Y`.
Returns
-------
:class:`np.float` or :cla... |
Compute the *Munsell* value :math:`V` of specified *luminance* :math:`Y` using
*Saunderson and Milner (1944)* method.
Parameters
----------
Y
*Luminance* :math:`Y`.
Returns
-------
:class:`np.float` or :class:`numpy.NDArrayFloat`
*Munsell* value :math:`V`.
Notes
... | munsell_value_Saunderson1944 | python | colour-science/colour | colour/notation/munsell.py | https://github.com/colour-science/colour/blob/master/colour/notation/munsell.py | BSD-3-Clause |
def munsell_value_Ladd1955(Y: ArrayLike) -> NDArrayFloat:
"""
Compute the *Munsell* value :math:`V` of specified *luminance* :math:`Y` using
*Ladd and Pinney (1955)* method.
Parameters
----------
Y
*Luminance* :math:`Y`.
Returns
-------
:class:`np.float` or :class:`numpy.ND... |
Compute the *Munsell* value :math:`V` of specified *luminance* :math:`Y` using
*Ladd and Pinney (1955)* method.
Parameters
----------
Y
*Luminance* :math:`Y`.
Returns
-------
:class:`np.float` or :class:`numpy.NDArrayFloat`
*Munsell* value :math:`V`.
Notes
---... | munsell_value_Ladd1955 | python | colour-science/colour | colour/notation/munsell.py | https://github.com/colour-science/colour/blob/master/colour/notation/munsell.py | BSD-3-Clause |
def munsell_value_McCamy1987(Y: ArrayLike) -> NDArrayFloat:
"""
Compute the *Munsell* value :math:`V` of specified *luminance* :math:`Y` using
*McCamy (1987)* method.
Parameters
----------
Y
*Luminance* :math:`Y`.
Returns
-------
:class:`np.float` or :class:`numpy.NDArrayFl... |
Compute the *Munsell* value :math:`V` of specified *luminance* :math:`Y` using
*McCamy (1987)* method.
Parameters
----------
Y
*Luminance* :math:`Y`.
Returns
-------
:class:`np.float` or :class:`numpy.NDArrayFloat`
*Munsell* value :math:`V`.
Notes
-----
+-... | munsell_value_McCamy1987 | python | colour-science/colour | colour/notation/munsell.py | https://github.com/colour-science/colour/blob/master/colour/notation/munsell.py | BSD-3-Clause |
def munsell_value_ASTMD1535(Y: ArrayLike) -> NDArrayFloat:
"""
Compute the *Munsell* value :math:`V` of specified *luminance* :math:`Y` using
an inverse lookup table from *ASTM D1535-08e1* method.
Parameters
----------
Y
*Luminance* :math:`Y`
Returns
-------
:class:`np.floa... |
Compute the *Munsell* value :math:`V` of specified *luminance* :math:`Y` using
an inverse lookup table from *ASTM D1535-08e1* method.
Parameters
----------
Y
*Luminance* :math:`Y`
Returns
-------
:class:`np.float` or :class:`numpy.NDArrayFloat`
*Munsell* value :math:`V... | munsell_value_ASTMD1535 | python | colour-science/colour | colour/notation/munsell.py | https://github.com/colour-science/colour/blob/master/colour/notation/munsell.py | BSD-3-Clause |
def munsell_value(
Y: ArrayLike,
method: (
Literal[
"ASTM D1535",
"Ladd 1955",
"McCamy 1987",
"Moon 1943",
"Munsell 1933",
"Priest 1920",
"Saunderson 1944",
]
| str
) = "ASTM D1535",
) -> NDArrayFloat... |
Compute the *Munsell* value :math:`V` of specified *luminance* :math:`Y` using
specified method.
Parameters
----------
Y
*Luminance* :math:`Y`.
method
Computation method.
Returns
-------
:class:`np.float` or :class:`numpy.NDArrayFloat`
*Munsell* value :math... | munsell_value | python | colour-science/colour | colour/notation/munsell.py | https://github.com/colour-science/colour/blob/master/colour/notation/munsell.py | BSD-3-Clause |
def _munsell_specification_to_xyY(specification: ArrayLike) -> NDArrayFloat:
"""
Convert specified *Munsell* *Colorlab* specification to *CIE xyY* colourspace.
Parameters
----------
specification
*Munsell* *Colorlab* specification.
Returns
-------
:class:`numpy.NDArrayFloat`
... |
Convert specified *Munsell* *Colorlab* specification to *CIE xyY* colourspace.
Parameters
----------
specification
*Munsell* *Colorlab* specification.
Returns
-------
:class:`numpy.NDArrayFloat`
*CIE xyY* colourspace array.
| _munsell_specification_to_xyY | python | colour-science/colour | colour/notation/munsell.py | https://github.com/colour-science/colour/blob/master/colour/notation/munsell.py | BSD-3-Clause |
def munsell_specification_to_xyY(specification: ArrayLike) -> NDArrayFloat:
"""
Convert specified *Munsell* *Colorlab* specification to *CIE xyY* colourspace.
Parameters
----------
specification
*Munsell* *Colorlab* specification.
Returns
-------
:class:`numpy.NDArrayFloat`
... |
Convert specified *Munsell* *Colorlab* specification to *CIE xyY* colourspace.
Parameters
----------
specification
*Munsell* *Colorlab* specification.
Returns
-------
:class:`numpy.NDArrayFloat`
*CIE xyY* colourspace array.
Notes
-----
+-------------------+---... | munsell_specification_to_xyY | python | colour-science/colour | colour/notation/munsell.py | https://github.com/colour-science/colour/blob/master/colour/notation/munsell.py | BSD-3-Clause |
def munsell_colour_to_xyY(munsell_colour: ArrayLike) -> NDArrayFloat:
"""
Convert specified *Munsell* colour to *CIE xyY* colourspace.
Parameters
----------
munsell_colour
*Munsell* colour.
Returns
-------
:class:`numpy.NDArrayFloat`
*CIE xyY* colourspace array.
No... |
Convert specified *Munsell* colour to *CIE xyY* colourspace.
Parameters
----------
munsell_colour
*Munsell* colour.
Returns
-------
:class:`numpy.NDArrayFloat`
*CIE xyY* colourspace array.
Notes
-----
+-----------+-----------------------+---------------+
|... | munsell_colour_to_xyY | python | colour-science/colour | colour/notation/munsell.py | https://github.com/colour-science/colour/blob/master/colour/notation/munsell.py | BSD-3-Clause |
def xyY_to_munsell_colour(
xyY: ArrayLike,
hue_decimals: int = 1,
value_decimals: int = 1,
chroma_decimals: int = 1,
) -> str | NDArrayStr:
"""
Convert from *CIE xyY* colourspace to *Munsell* colour.
Parameters
----------
xyY
*CIE xyY* colourspace array.
hue_decimals
... |
Convert from *CIE xyY* colourspace to *Munsell* colour.
Parameters
----------
xyY
*CIE xyY* colourspace array.
hue_decimals
Hue formatting decimals.
value_decimals
Value formatting decimals.
chroma_decimals
Chroma formatting decimals.
Returns
------... | xyY_to_munsell_colour | python | colour-science/colour | colour/notation/munsell.py | https://github.com/colour-science/colour/blob/master/colour/notation/munsell.py | BSD-3-Clause |
def parse_munsell_colour(munsell_colour: str) -> NDArrayFloat:
"""
Parse specified *Munsell* colour and return an intermediate *Munsell*
*Colorlab* specification.
Parameters
----------
munsell_colour
*Munsell* colour.
Returns
-------
:class:`numpy.NDArrayFloat`
Inte... |
Parse specified *Munsell* colour and return an intermediate *Munsell*
*Colorlab* specification.
Parameters
----------
munsell_colour
*Munsell* colour.
Returns
-------
:class:`numpy.NDArrayFloat`
Intermediate *Munsell* *Colorlab* specification.
Raises
------
... | parse_munsell_colour | python | colour-science/colour | colour/notation/munsell.py | https://github.com/colour-science/colour/blob/master/colour/notation/munsell.py | BSD-3-Clause |
def is_grey_munsell_colour(specification: ArrayLike) -> bool:
"""
Return whether specified *Munsell* *Colorlab* specification is a grey colour.
Parameters
----------
specification
*Munsell* *Colorlab* specification.
Returns
-------
:class:`bool`
Is specification a grey ... |
Return whether specified *Munsell* *Colorlab* specification is a grey colour.
Parameters
----------
specification
*Munsell* *Colorlab* specification.
Returns
-------
:class:`bool`
Is specification a grey colour.
Examples
--------
>>> is_grey_munsell_colour(np.... | is_grey_munsell_colour | python | colour-science/colour | colour/notation/munsell.py | https://github.com/colour-science/colour/blob/master/colour/notation/munsell.py | BSD-3-Clause |
def normalise_munsell_specification(specification: ArrayLike) -> NDArrayFloat:
"""
Normalise specified *Munsell* *Colorlab* specification.
Parameters
----------
specification
*Munsell* *Colorlab* specification.
Returns
-------
:class:`numpy.NDArrayFloat`
Normalised *Mun... |
Normalise specified *Munsell* *Colorlab* specification.
Parameters
----------
specification
*Munsell* *Colorlab* specification.
Returns
-------
:class:`numpy.NDArrayFloat`
Normalised *Munsell* *Colorlab* specification.
Examples
--------
>>> normalise_munsell_s... | normalise_munsell_specification | python | colour-science/colour | colour/notation/munsell.py | https://github.com/colour-science/colour/blob/master/colour/notation/munsell.py | BSD-3-Clause |
def munsell_colour_to_munsell_specification(
munsell_colour: str,
) -> NDArrayFloat:
"""
Retrieve a normalised *Munsell* *Colorlab* specification from specified
*Munsell* colour.
Parameters
----------
munsell_colour
*Munsell* colour.
Returns
-------
:class:`numpy.NDArra... |
Retrieve a normalised *Munsell* *Colorlab* specification from specified
*Munsell* colour.
Parameters
----------
munsell_colour
*Munsell* colour.
Returns
-------
:class:`numpy.NDArrayFloat`
Normalised *Munsell* *Colorlab* specification.
Examples
--------
>>... | munsell_colour_to_munsell_specification | python | colour-science/colour | colour/notation/munsell.py | https://github.com/colour-science/colour/blob/master/colour/notation/munsell.py | BSD-3-Clause |
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