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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))