Coverage for colorimetry/cmfs.py: 14%
21 statements
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1"""
2Colour Matching Functions
3=========================
5Define the colour matching functions classes for the datasets from
6the :mod:`colour.colorimetry.datasets.cmfs` module:
8- :class:`colour.colorimetry.LMS_ConeFundamentals`: Define support for
9 *Stockman and Sharpe* *LMS* cone fundamentals colour matching functions.
10- :class:`colour.colorimetry.RGB_ColourMatchingFunctions`: Define support
11 for *CIE RGB* colour matching functions.
12- :class:`colour.colorimetry.XYZ_ColourMatchingFunctions`: Define support
13 for *CIE Standard Observers* *XYZ* colour matching functions.
14"""
16from __future__ import annotations
18import typing
20from colour.colorimetry import (
21 MultiSpectralDistributions,
22 SpectralDistribution,
23 SpectralShape,
24)
26if typing.TYPE_CHECKING:
27 from collections.abc import KeysView, ValuesView
28 from colour.continuous import MultiSignals, Signal
29 from colour.hints import (
30 Any,
31 ArrayLike,
32 Sequence,
33 )
35from colour.utilities import is_pandas_installed
37if typing.TYPE_CHECKING or is_pandas_installed():
38 from pandas import DataFrame, Series # pragma: no cover
39else: # pragma: no cover
40 from unittest import mock
42 DataFrame = mock.MagicMock()
43 Series = mock.MagicMock()
45__author__ = "Colour Developers"
46__copyright__ = "Copyright 2013 Colour Developers"
47__license__ = "BSD-3-Clause - https://opensource.org/licenses/BSD-3-Clause"
48__maintainer__ = "Colour Developers"
49__email__ = "colour-developers@colour-science.org"
50__status__ = "Production"
52__all__ = [
53 "LMS_ConeFundamentals",
54 "RGB_ColourMatchingFunctions",
55 "XYZ_ColourMatchingFunctions",
56]
59class LMS_ConeFundamentals(MultiSpectralDistributions):
60 """
61 Define a container for *Stockman and Sharpe* *LMS* cone fundamentals
62 colour matching functions.
64 Parameters
65 ----------
66 data
67 Data to be stored in the multi-spectral distributions.
68 domain
69 Values to initialise the multiple
70 :class:`colour.SpectralDistribution` class instances
71 :attr:`colour.continuous.Signal.wavelengths` attribute with. If
72 both ``data`` and ``domain`` arguments are defined, the latter will
73 be used to initialise the
74 :attr:`colour.continuous.Signal.wavelengths` property.
75 labels
76 Names to use for the :class:`colour.SpectralDistribution` class
77 instances.
79 Other Parameters
80 ----------------
81 extrapolator
82 Extrapolator class type to use as extrapolating function for the
83 :class:`colour.SpectralDistribution` class instances.
84 extrapolator_kwargs
85 Arguments to use when instantiating the extrapolating function of
86 the :class:`colour.SpectralDistribution` class instances.
87 interpolator
88 Interpolator class type to use as interpolating function for the
89 :class:`colour.SpectralDistribution` class instances.
90 interpolator_kwargs
91 Arguments to use when instantiating the interpolating function of
92 the :class:`colour.SpectralDistribution` class instances.
93 name
94 Multi-spectral distributions name.
95 display_labels
96 Multi-spectral distributions labels for figures, default to
97 :attr:`colour.colorimetry.LMS_ConeFundamentals.labels` property
98 value.
99 """
101 def __init__(
102 self,
103 data: (
104 ArrayLike
105 | DataFrame
106 | dict
107 | MultiSignals
108 | MultiSpectralDistributions
109 | Sequence
110 | Series
111 | Signal
112 | SpectralDistribution
113 | ValuesView
114 | None
115 ) = None,
116 domain: ArrayLike | SpectralShape | KeysView | None = None,
117 labels: Sequence | None = None, # noqa: ARG002
118 **kwargs: Any,
119 ) -> None:
120 super().__init__(
121 data,
122 domain,
123 labels=("l_bar", "m_bar", "s_bar"),
124 display_labels=("$\\bar{l}$", "$\\bar{m}$", "$\\bar{s}$"),
125 **kwargs,
126 )
129class RGB_ColourMatchingFunctions(MultiSpectralDistributions):
130 """
131 Define a container for *CIE RGB* colour matching functions.
133 Parameters
134 ----------
135 data
136 Data to be stored in the multi-spectral distributions.
137 domain
138 Values to initialise the multiple
139 :class:`colour.SpectralDistribution` class instances
140 :attr:`colour.continuous.Signal.wavelengths` attribute with. If
141 both ``data`` and ``domain`` arguments are defined, the latter will
142 be used to initialise the
143 :attr:`colour.continuous.Signal.wavelengths` property.
144 labels
145 Names to use for the :class:`colour.SpectralDistribution` class
146 instances.
148 Other Parameters
149 ----------------
150 extrapolator
151 Extrapolator class type to use as extrapolating function for the
152 :class:`colour.SpectralDistribution` class instances.
153 extrapolator_kwargs
154 Arguments to use when instantiating the extrapolating function of
155 the :class:`colour.SpectralDistribution` class instances.
156 interpolator
157 Interpolator class type to use as interpolating function for the
158 :class:`colour.SpectralDistribution` class instances.
159 interpolator_kwargs
160 Arguments to use when instantiating the interpolating function of
161 the :class:`colour.SpectralDistribution` class instances.
162 name
163 Multi-spectral distributions name.
164 display_labels
165 Multi-spectral distributions labels for figures, default to
166 :attr:`colour.colorimetry.RGB_ColourMatchingFunctions.labels` property
167 value.
168 """
170 def __init__(
171 self,
172 data: (
173 ArrayLike
174 | DataFrame
175 | dict
176 | MultiSignals
177 | MultiSpectralDistributions
178 | Sequence
179 | Series
180 | Signal
181 | SpectralDistribution
182 | ValuesView
183 | None
184 ) = None,
185 domain: ArrayLike | SpectralShape | KeysView | None = None,
186 labels: Sequence | None = None, # noqa: ARG002
187 **kwargs: Any,
188 ) -> None:
189 super().__init__(
190 data,
191 domain,
192 labels=("r_bar", "g_bar", "b_bar"),
193 display_labels=("$\\bar{r}$", "$\\bar{g}$", "$\\bar{b}$"),
194 **kwargs,
195 )
198class XYZ_ColourMatchingFunctions(MultiSpectralDistributions):
199 """
200 Define a container for *CIE* Standard Observers *XYZ* colour matching
201 functions.
203 Parameters
204 ----------
205 data
206 Data to be stored in the multi-spectral distributions.
207 domain
208 Values to initialise the multiple
209 :class:`colour.SpectralDistribution` class instances
210 :attr:`colour.continuous.Signal.wavelengths` attribute with. If
211 both ``data`` and ``domain`` arguments are defined, the latter will
212 be used to initialise the
213 :attr:`colour.continuous.Signal.wavelengths` property.
214 labels
215 Names to use for the :class:`colour.SpectralDistribution` class
216 instances.
218 Other Parameters
219 ----------------
220 extrapolator
221 Extrapolator class type to use as extrapolating function for the
222 :class:`colour.SpectralDistribution` class instances.
223 extrapolator_kwargs
224 Arguments to use when instantiating the extrapolating function of
225 the :class:`colour.SpectralDistribution` class instances.
226 interpolator
227 Interpolator class type to use as interpolating function for the
228 :class:`colour.SpectralDistribution` class instances.
229 interpolator_kwargs
230 Arguments to use when instantiating the interpolating function of
231 the :class:`colour.SpectralDistribution` class instances.
232 name
233 Multi-spectral distributions name.
234 display_labels
235 Multi-spectral distributions labels for figures, default to
236 :attr:`colour.colorimetry.XYZ_ColourMatchingFunctions.labels` property
237 value.
238 """
240 def __init__(
241 self,
242 data: (
243 ArrayLike
244 | DataFrame
245 | dict
246 | MultiSignals
247 | MultiSpectralDistributions
248 | Sequence
249 | Series
250 | Signal
251 | SpectralDistribution
252 | ValuesView
253 | None
254 ) = None,
255 domain: ArrayLike | SpectralShape | KeysView | None = None,
256 labels: Sequence | None = None, # noqa: ARG002
257 **kwargs: Any,
258 ) -> None:
259 super().__init__(
260 data,
261 domain,
262 labels=("x_bar", "y_bar", "z_bar"),
263 display_labels=("$\\bar{x}$", "$\\bar{y}$", "$\\bar{z}$"),
264 **kwargs,
265 )