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"""
Contains lookup tables, constants, and things that are generally static
and useful throughout the library.
"""
import numpy
# Not sure what these are, they are used in Lab and Luv calculations.
CIE_E = 216.0 / 24389.0
CIE_K = 24389.0 / 27.0
# Observer Function and Illuminant Data
ILLUMINANTS = {
# 2 Degree Functions
'2': {
'a': (1.09850, 1.00000, 0.35585),
'b': (0.99072, 1.00000, 0.85223),
'c': (0.98074, 1.00000, 1.18232),
'd50': (0.96422, 1.00000, 0.82521),
'd55': (0.95682, 1.00000, 0.92149),
'd65': (0.95047, 1.00000, 1.08883),
'd75': (0.94972, 1.00000, 1.22638),
'e': (1.00000, 1.00000, 1.00000),
'f2': (0.99186, 1.00000, 0.67393),
'f7': (0.95041, 1.00000, 1.08747),
'f11': (1.00962, 1.00000, 0.64350)
},
# 10 Degree Functions
'10': {
'd50': (0.9672, 1.000, 0.8143),
'd55': (0.958, 1.000, 0.9093),
'd65': (0.9481, 1.000, 1.073),
'd75': (0.94416, 1.000, 1.2064),
}
}
OBSERVERS = ILLUMINANTS.keys()
# Chromatic Adaptation Matrices
# http://brucelindbloom.com/Eqn_ChromAdapt.html
ADAPTATION_MATRICES = {
'xyz_scaling': numpy.array((
(1.0, 0.0, 0.0),
(0.0, 1.0, 0.0),
(0.0, 0.0, 1.0))),
'bradford': numpy.array((
(0.8951, 0.2664, -0.1614),
(-0.7502, 1.7135, 0.0367),
(0.0389, -0.0685, 1.0296))),
'von_kries': numpy.array((
(0.40024, 0.70760, -0.08081),
(-0.22630, 1.16532, 0.04570),
(0.00000, 0.00000, 0.91822))),
}
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