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 | #!/usr/bin/python3
# SPDX-License-Identifier: GPL-2.0-or-later
# SPDX-FileCopyrightText: 2016 Renesas Electronics Corporation
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 = bytearray()
	for z in range(17):
		for y in range(17):
			for x in range(17):
				clu.extend(clu_value(x, y, z, **config[1]))
	open('clu-%s.bin' % config[0], 'wb').write(clu)
def gamma(vin, gamma, scale):
	return int(255 * scale * math.pow(vin / 255., gamma))
def generate_lut(config):
	lut = bytearray()
	for i in range(256):
		lut.extend([gamma(i, g, config[1]) for g in config[2:]])
		lut.append(0)
	open('lut-%s.bin' % config[0], 'wb').write(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))
 |