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#!/usr/bin/env python3
# Copyright © 2014 Mattias Andrée (maandree@member.fsf.org)
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
#
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
import math
from colour import *
# /usr/share/blueshift
DATADIR = 'res'
def series_d(temperature):
'''
Calculate the colour for a blackbody temperature
Using `lambda t : divide_by_maximum(series_d(t))` as the algorithm is better than just `series_d`
@param temperature:float The blackbody temperature in kelvins, must be inside [4000, 7000]
@return :(float, float, float) The red, green and blue components of the white point
'''
x = 0
ks = ((0.244063, 0), (0.09911, 1), (2.9678, 2), (-4.6070, 3))
if temperature > 7000:
ks = ((0.237040, 0), (0.24748, 1), (1.9018, 2), (-2.0064, 3))
for (k, d) in ks:
x += k * 10 ** (d * 3) / temperature ** d
y = 2.870 * x - 3.000 * x ** 2 - 0.275
return ciexyy_to_srgb(x, y, 1.0)
def simple_whitepoint(temperature):
'''
Calculate the colour for a blackbody temperature using a simple algorithm
@param temperature:float The blackbody temperature in kelvins, not guaranteed for values outside [1000, 40000]
@return :(float, float, float) The red, green and blue components of the white point
'''
r, g, b = 1, 1, 1
temp = temperature / 100
if temp > 66:
temp -= 60
r = 1.292936186 * temp ** 0.1332047592
g = 1.129890861 * temp ** -0.0755148492
else:
g = 0.390081579 * math.log(temp) - 0.631841444
if temp <= 19:
b = 0
elif temp < 66:
b = 0.543206789 * math.log(temp - 10) - 1.196254089
return (r, g, b)
cmf_2deg_cache = None
def cmf_2deg(temperature):
'''
Calculate the colour for a blackbody temperature using raw CIE 1931 2 degree CMF data with interpolation
Using `lambda t : divide_by_maximum(cmf_2deg(t))` as the algorithm is better than just `cmf_2deg`
@param temperature:float The blackbody temperature in kelvins, clipped to [1000, 40000]
@return :(float, float, float) The red, green and blue components of the white point
'''
global cmf_2deg_cache
if cmf_2deg_cache is None:
with open(DATADIR + '/2deg', 'rb') as file:
cmf_2deg_cache = file.read()
cmf_2deg_cache = cmf_2deg_cache.decode('utf-8', 'error').split('\n')
cmf_2deg_cache = filter(lambda x : not x == '', cmf_2deg_cache)
cmf_2deg_cache = [[float(x) for x in x_y.split(' ')] for x_y in cmf_2deg_cache]
temp = min(max(1000, temperature), 40000)
x, y = 0, 0
if (temp % 100) == 0:
(x, y) = cmf_2deg_cache[int((temp - 1000) // 100)]
else:
temp -= 1000
(x1, y1) = cmf_2deg_cache[int(temp // 100)]
(x2, y2) = cmf_2deg_cache[int(temp // 100 + 1)]
temp = (temp % 100) / 100
x = x1 * (1 - temp) + x2 * temp
y = y1 * (1 - temp) + y2 * temp
return ciexyy_to_srgb(x, y, 1.0)
cmf_10deg_cache = None
def cmf_10deg(temperature):
'''
Calculate the colour for a blackbody temperature using raw CIE 1964 10 degree CMF data with interpolation
Using `lambda t : divide_by_maximum(cmf_10deg(t))` as the algorithm is better than just `cmf_10deg`
@param temperature:float The blackbody temperature in kelvins, clipped to [1000, 40000]
@return :(float, float, float) The red, green and blue components of the white point
'''
global cmf_10deg_cache
if cmf_10deg_cache is None:
with open(DATADIR + '/10deg', 'rb') as file:
cmf_10deg_cache = file.read()
cmf_10deg_cache = cmf_10deg_cache.decode('utf-8', 'error').split('\n')
cmf_10deg_cache = filter(lambda x : not x == '', cmf_10deg_cache)
cmf_10deg_cache = [[float(x) for x in x_y.split(' ')] for x_y in cmf_10deg_cache]
temp = min(max(1000, temperature), 40000)
x, y = 0, 0
if (temp % 100) == 0:
(x, y) = cmf_10deg_cache[int((temp - 1000) // 100)]
else:
temp -= 1000
(x1, y1) = cmf_10deg_cache[int(temp // 100)]
(x2, y2) = cmf_10deg_cache[int(temp // 100 + 1)]
temp = (temp % 100) / 100
x = x1 * (1 - temp) + x2 * temp
y = y1 * (1 - temp) + y2 * temp
return ciexyy_to_srgb(x, y, 1)
redshift_cache, redshift_old_cache = None, None
def redshift(temperature, old_version = False, linear_interpolation = False):
'''
Calculate the colour for a blackbody temperature using same data as in the program redshift
@param temperature:float The blackbody temperature in kelvins, clipped to [1000, 25100] (100 more kelvins than in redshift)
@param old_version:bool Whether to the method used in redshift<=1.8, in which case
`temperature` is clipped to [1000, 10000] (1 more kelvin than in redshift)
@param linear_interpolation:bool Whether to interpolate one linear RGB instead of sRGB
@return :(float, float, float) The red, green and blue components of the white point
'''
global redshift_cache, redshift_old_cache
cache = None
if not old_version:
if redshift_cache is None:
with open(DATADIR + '/redshift', 'rb') as file:
redshift_cache = file.read()
redshift_cache = redshift_cache.decode('utf-8', 'error').split('\n')
redshift_cache = filter(lambda x : not x == '', redshift_cache)
redshift_cache = [[float(x) for x in r_g_b.split(' ')] for r_g_b in redshift_cache]
cache = redshift_cache
else:
if redshift_old_cache is None:
with open(DATADIR + '/redshift_old', 'rb') as file:
redshift_old_cache = file.read()
redshift_old_cache = redshift_old_cache.decode('utf-8', 'error').split('\n')
redshift_old_cache = filter(lambda x : not x == '', redshift_old_cache)
redshift_old_cache = [[float(x) for x in r_g_b.split(' ')] for r_g_b in redshift_old_cache]
cache = redshift_old_cache
temp = min(max(1000, temperature), 10000 if old_version else 25100)
r, g, b = 1, 1, 1
if (temp % 100) == 0:
(r, g, b) = cache[int((temp - 1000) // 100)]
else:
temp -= 1000
(r1, g1, b1) = cache[int(temp // 100)]
(r2, g2, b2) = cache[int(temp // 100 + 1)]
temp = (temp % 100) / 100
if linear_interpolation:
(r, g, b) = standard_to_linear(r, g, b)
r = r1 * (1 - temp) + r2 * temp
g = g1 * (1 - temp) + g2 * temp
b = b1 * (1 - temp) + b2 * temp
if linear_interpolation:
(r, g, b) = linear_to_standard(r, g, b)
return (r, g, b)
def divide_by_maximum(rgb):
'''
Divide all colour components by the value of the most prominent colour component
@param rgb:[float, float, float] The three colour components
@return :[float, float, float] The three colour components divided by the maximum
'''
m = max([abs(x) for x in rgb])
if m != 0:
return [x / m for x in rgb]
return rgb
def clip_whitepoint(rgb):
'''
Clip all colour components to fit inside [0, 1]
@param rgb:[float, float, float] The three colour components
@return :[float, float, float] The three colour components clipped
'''
return [min(max(0, x), 1) for x in rgb]
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