360 lines
9 KiB
Python
360 lines
9 KiB
Python
# This file was taken from https://github.com/hsluv/hsluv-python
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#
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# Copyright (c) 2015 Alexei Boronine
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#
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# Permission is hereby granted, free of charge, to any person obtaining a copy
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# of this software and associated documentation files (the "Software"), to deal
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# in the Software without restriction, including without limitation the rights
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# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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# copies of the Software, and to permit persons to whom the Software is
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# furnished to do so, subject to the following conditions:
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#
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# The above copyright notice and this permission notice shall be included in all
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# copies or substantial portions of the Software.
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#
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# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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# SOFTWARE.
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""" This module is generated by transpiling Haxe into Python and cleaning
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the resulting code by hand, e.g. removing unused Haxe classes. To try it
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yourself, clone https://github.com/hsluv/hsluv and run:
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haxe -cp haxe/src hsluv.Hsluv -python hsluv.py
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"""
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import math
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__version__ = '0.0.2'
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m = [[3.240969941904521, -1.537383177570093, -0.498610760293],
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[-0.96924363628087, 1.87596750150772, 0.041555057407175],
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[0.055630079696993, -0.20397695888897, 1.056971514242878]]
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minv = [[0.41239079926595, 0.35758433938387, 0.18048078840183],
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[0.21263900587151, 0.71516867876775, 0.072192315360733],
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[0.019330818715591, 0.11919477979462, 0.95053215224966]]
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refY = 1.0
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refU = 0.19783000664283
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refV = 0.46831999493879
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kappa = 903.2962962
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epsilon = 0.0088564516
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hex_chars = "0123456789abcdef"
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def _distance_line_from_origin(line):
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v = math.pow(line['slope'], 2) + 1
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return math.fabs(line['intercept']) / math.sqrt(v)
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def _length_of_ray_until_intersect(theta, line):
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return line['intercept'] / (math.sin(theta) - line['slope'] * math.cos(theta))
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def _get_bounds(l):
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result = []
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sub1 = math.pow(l + 16, 3) / 1560896
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if sub1 > epsilon:
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sub2 = sub1
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else:
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sub2 = l / kappa
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_g = 0
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while _g < 3:
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c = _g
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_g = _g + 1
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m1 = m[c][0]
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m2 = m[c][1]
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m3 = m[c][2]
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_g1 = 0
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while _g1 < 2:
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t = _g1
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_g1 = _g1 + 1
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top1 = (284517 * m1 - 94839 * m3) * sub2
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top2 = (838422 * m3 + 769860 * m2 + 731718 * m1) * l * sub2 - (769860 * t) * l
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bottom = (632260 * m3 - 126452 * m2) * sub2 + 126452 * t
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result.append({'slope': top1 / bottom, 'intercept': top2 / bottom})
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return result
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def _max_safe_chroma_for_l(l):
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bounds = _get_bounds(l)
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_hx_min = 1.7976931348623157e+308
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_g = 0
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while _g < 2:
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i = _g
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_g = _g + 1
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length = _distance_line_from_origin(bounds[i])
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if math.isnan(_hx_min):
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_hx_min = _hx_min
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elif math.isnan(length):
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_hx_min = length
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else:
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_hx_min = min(_hx_min, length)
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return _hx_min
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def _max_chroma_for_lh(l, h):
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hrad = h / 360 * math.pi * 2
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bounds = _get_bounds(l)
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_hx_min = 1.7976931348623157e+308
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_g = 0
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while _g < len(bounds):
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bound = bounds[_g]
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_g = (_g + 1)
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length = _length_of_ray_until_intersect(hrad, bound)
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if length >= 0:
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if math.isnan(_hx_min):
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_hx_min = _hx_min
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elif math.isnan(length):
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_hx_min = length
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else:
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_hx_min = min(_hx_min, length)
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return _hx_min
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def _dot_product(a, b):
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sum = 0
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_g1 = 0
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_g = len(a)
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while _g1 < _g:
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i = _g1
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_g1 = _g1 + 1
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sum += a[i] * b[i]
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return sum
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def _from_linear(c):
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if c <= 0.0031308:
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return 12.92 * c
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else:
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return 1.055 * math.pow(c, 0.416666666666666685) - 0.055
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def _to_linear(c):
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if c > 0.04045:
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return math.pow((c + 0.055) / 1.055, 2.4)
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else:
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return c / 12.92
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def xyz_to_rgb(_hx_tuple):
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return [
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_from_linear(_dot_product(m[0], _hx_tuple)),
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_from_linear(_dot_product(m[1], _hx_tuple)),
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_from_linear(_dot_product(m[2], _hx_tuple))]
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def rgb_to_xyz(_hx_tuple):
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rgbl = [_to_linear(_hx_tuple[0]),
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_to_linear(_hx_tuple[1]),
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_to_linear(_hx_tuple[2])]
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return [_dot_product(minv[0], rgbl),
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_dot_product(minv[1], rgbl),
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_dot_product(minv[2], rgbl)]
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def _y_to_l(y):
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if y <= epsilon:
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return y / refY * kappa
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else:
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return 116 * math.pow(y / refY, 0.333333333333333315) - 16
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def _l_to_y(l):
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if l <= 8:
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return refY * l / kappa
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else:
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return refY * math.pow((l + 16) / 116, 3)
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def xyz_to_luv(_hx_tuple):
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x = float(_hx_tuple[0])
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y = float(_hx_tuple[1])
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z = float(_hx_tuple[2])
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divider = x + 15 * y + 3 * z
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var_u = 4 * x
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var_v = 9 * y
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if divider != 0:
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var_u = var_u / divider
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var_v = var_v / divider
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else:
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var_u = float("nan")
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var_v = float("nan")
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l = _y_to_l(y)
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if l == 0:
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return [0, 0, 0]
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u = 13 * l * (var_u - refU)
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v = 13 * l * (var_v - refV)
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return [l, u, v]
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def luv_to_xyz(_hx_tuple):
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l = float(_hx_tuple[0])
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u = float(_hx_tuple[1])
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v = float(_hx_tuple[2])
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if l == 0:
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return [0, 0, 0]
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var_u = u / (13 * l) + refU
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var_v = v / (13 * l) + refV
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y = _l_to_y(l)
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x = 0 - ((9 * y * var_u) / (((var_u - 4) * var_v) - var_u * var_v))
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z = (((9 * y) - (15 * var_v * y)) - (var_v * x)) / (3 * var_v)
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return [x, y, z]
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def luv_to_lch(_hx_tuple):
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l = float(_hx_tuple[0])
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u = float(_hx_tuple[1])
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v = float(_hx_tuple[2])
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_v = (u * u) + (v * v)
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if _v < 0:
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c = float("nan")
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else:
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c = math.sqrt(_v)
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if c < 0.00000001:
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h = 0
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else:
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hrad = math.atan2(v, u)
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h = hrad * 180.0 / 3.1415926535897932
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if h < 0:
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h = 360 + h
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return [l, c, h]
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def lch_to_luv(_hx_tuple):
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l = float(_hx_tuple[0])
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c = float(_hx_tuple[1])
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h = float(_hx_tuple[2])
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hrad = h / 360.0 * 2 * math.pi
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u = math.cos(hrad) * c
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v = math.sin(hrad) * c
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return [l, u, v]
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def hsluv_to_lch(_hx_tuple):
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h = float(_hx_tuple[0])
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s = float(_hx_tuple[1])
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l = float(_hx_tuple[2])
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if l > 99.9999999:
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return [100, 0, h]
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if l < 0.00000001:
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return [0, 0, h]
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_hx_max = _max_chroma_for_lh(l, h)
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c = _hx_max / 100 * s
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return [l, c, h]
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def lch_to_hsluv(_hx_tuple):
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l = float(_hx_tuple[0])
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c = float(_hx_tuple[1])
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h = float(_hx_tuple[2])
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if l > 99.9999999:
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return [h, 0, 100]
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if l < 0.00000001:
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return [h, 0, 0]
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_hx_max = _max_chroma_for_lh(l, h)
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s = c / _hx_max * 100
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return [h, s, l]
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def hpluv_to_lch(_hx_tuple):
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h = float(_hx_tuple[0])
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s = float(_hx_tuple[1])
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l = float(_hx_tuple[2])
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if l > 99.9999999:
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return [100, 0, h]
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if l < 0.00000001:
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return [0, 0, h]
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_hx_max = _max_safe_chroma_for_l(l)
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c = _hx_max / 100 * s
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return [l, c, h]
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def lch_to_hpluv(_hx_tuple):
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l = float(_hx_tuple[0])
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c = float(_hx_tuple[1])
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h = float(_hx_tuple[2])
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if l > 99.9999999:
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return [h, 0, 100]
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if l < 0.00000001:
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return [h, 0, 0]
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_hx_max = _max_safe_chroma_for_l(l)
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s = c / _hx_max * 100
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return [h, s, l]
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def rgb_to_hex(_hx_tuple):
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h = "#"
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_g = 0
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while _g < 3:
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i = _g
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_g = _g + 1
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chan = float(_hx_tuple[i])
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c = math.floor(chan * 255 + 0.5)
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digit2 = int(c % 16)
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digit1 = int((c - digit2) / 16)
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h += hex_chars[digit1] + hex_chars[digit2]
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return h
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def hex_to_rgb(hex):
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hex = hex.lower()
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ret = []
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_g = 0
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while _g < 3:
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i = _g
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_g = _g + 1
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index = i * 2 + 1
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_hx_str = hex[index]
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digit1 = hex_chars.find(_hx_str)
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index1 = i * 2 + 2
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str1 = hex[index1]
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digit2 = hex_chars.find(str1)
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n = digit1 * 16 + digit2
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ret.append(n / 255.0)
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return ret
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def lch_to_rgb(_hx_tuple):
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return xyz_to_rgb(luv_to_xyz(lch_to_luv(_hx_tuple)))
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def rgb_to_lch(_hx_tuple):
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return luv_to_lch(xyz_to_luv(rgb_to_xyz(_hx_tuple)))
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def hsluv_to_rgb(_hx_tuple):
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return lch_to_rgb(hsluv_to_lch(_hx_tuple))
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def rgb_to_hsluv(_hx_tuple):
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return lch_to_hsluv(rgb_to_lch(_hx_tuple))
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def hpluv_to_rgb(_hx_tuple):
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return lch_to_rgb(hpluv_to_lch(_hx_tuple))
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def rgb_to_hpluv(_hx_tuple):
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return lch_to_hpluv(rgb_to_lch(_hx_tuple))
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def hsluv_to_hex(_hx_tuple):
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return rgb_to_hex(hsluv_to_rgb(_hx_tuple))
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def hpluv_to_hex(_hx_tuple):
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return rgb_to_hex(hpluv_to_rgb(_hx_tuple))
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def hex_to_hsluv(s):
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return rgb_to_hsluv(hex_to_rgb(s))
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def hex_to_hpluv(s):
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return rgb_to_hpluv(hex_to_rgb(s))
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