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#!/usr/bin/python
import math
import sys
clu_configs = (
('zero', {
'scale': 0.0,
'a': 0.0,
'freq': 1.0,
'weights': (1.0, 1.0, 1.0)
} ),
('identity', {
'scale': 1.0,
'a': 0.0,
'freq': 1.0,
'weights': (1.0, 1.0, 1.0)
} ),
# Keep the three weights different to generate an anisothropic
# look up table.
('wave', {
'scale': 1.0,
'a': 0.1,
'freq': 3.0,
'weights': (1.0, 2.0, 3.0)
} ),
)
lut_configs = (
('zero', 0.0, 1.0, 1.0, 1.0),
('identity', 1.0, 1.0, 1.0, 1.0),
('gamma', 1.0, 0.5, 1.0, 2.0),
)
def clu_value(x, y, z, scale, a, freq, weights):
x = x / 16.
y = y / 16.
z = z / 16.
dist = math.sqrt((x*x*weights[0] + y*y*weights[1] + z*z*weights[2]) / 3. / sum(weights))
offset = a * math.sin(dist * freq * 2 * math.pi)
x = max(0, min(255, int((x*scale + offset) * 256)))
y = max(0, min(255, int((y*scale + offset) * 256)))
z = max(0, min(255, int((z*scale + offset) * 256)))
return (z, y, x, 0)
def generate_clu(config):
clu = []
for z in xrange(17):
for y in xrange(17):
for x in xrange(17):
clu.extend(clu_value(x, y, z, **config[1]))
file('clu-%s.bin' % config[0], 'wb').write(''.join([chr(c) for c in clu]))
def gamma(vin, gamma, scale):
return int(255 * scale * math.pow(vin / 255., gamma))
def generate_lut(config):
lut = []
for i in xrange(256):
lut.extend([gamma(i, g, config[1]) for g in config[2:]])
lut.append(0)
file('lut-%s.bin' % config[0], 'wb').write(''.join([chr(c) for c in lut]))
def main(argv):
for config in clu_configs:
generate_clu(config)
for config in lut_configs:
generate_lut(config)
return 0
if __name__ == '__main__':
sys.exit(main(sys.argv))
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