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Add copies of six/husl with liceses and update code
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licences/HUSL_LICENSE

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Copyright (C) 2012 Alexei Boronine
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Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

licences/SIX_LICENSE

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Copyright (c) 2010-2014 Benjamin Peterson
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Permission is hereby granted, free of charge, to any person obtaining a copy of
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this software and associated documentation files (the "Software"), to deal in
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the Software without restriction, including without limitation the rights to
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use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of
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the Software, and to permit persons to whom the Software is furnished to do so,
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subject to the following conditions:
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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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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, FITNESS
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FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
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COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
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IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
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CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

requirements.txt

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matplotlib
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statsmodels
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pandas
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husl
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moss>0.1

seaborn/distributions.py

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import statsmodels.api as sm
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import matplotlib as mpl
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import matplotlib.pyplot as plt
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from six.moves import range
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import warnings
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import moss
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from .external.six.moves import range
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from seaborn.utils import (color_palette, husl_palette, blend_palette,
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desaturate, _kde_support)
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seaborn/external/__init__.py

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seaborn/external/husl.py

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import operator
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import math
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__version__ = "2.1.0"
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m = [
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[3.2406, -1.5372, -0.4986],
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[-0.9689, 1.8758, 0.0415],
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[0.0557, -0.2040, 1.0570]
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]
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m_inv = [
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[0.4124, 0.3576, 0.1805],
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[0.2126, 0.7152, 0.0722],
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[0.0193, 0.1192, 0.9505]
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]
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# Hard-coded D65 illuminant
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refX = 0.95047
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refY = 1.00000
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refZ = 1.08883
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refU = 0.19784
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refV = 0.46834
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lab_e = 0.008856
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lab_k = 903.3
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# Public API
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def husl_to_rgb(h, s, l):
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return lch_to_rgb(*husl_to_lch([h, s, l]))
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def husl_to_hex(h, s, l):
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return rgb_to_hex(husl_to_rgb(h, s, l))
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def rgb_to_husl(r, g, b):
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return lch_to_husl(rgb_to_lch(r, g, b))
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def hex_to_husl(hex):
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return rgb_to_husl(*hex_to_rgb(hex))
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def huslp_to_rgb(h, s, l):
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return lch_to_rgb(*huslp_to_lch([h, s, l]))
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def huslp_to_hex(h, s, l):
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return rgb_to_hex(huslp_to_rgb(h, s, l))
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def rgb_to_huslp(r, g, b):
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return lch_to_huslp(rgb_to_lch(r, g, b))
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def hex_to_huslp(hex):
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return rgb_to_huslp(*hex_to_rgb(hex))
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def lch_to_rgb(l, c, h):
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return xyz_to_rgb(luv_to_xyz(lch_to_luv([l, c, h])))
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def rgb_to_lch(r, g, b):
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return luv_to_lch(xyz_to_luv(rgb_to_xyz([r, g, b])))
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def max_chroma(L, H):
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hrad = math.radians(H)
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sinH = (math.sin(hrad))
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cosH = (math.cos(hrad))
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sub1 = (math.pow(L + 16, 3.0) / 1560896.0)
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sub2 = sub1 if sub1 > 0.008856 else (L / 903.3)
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result = float("inf")
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for row in m:
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m1 = row[0]
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m2 = row[1]
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m3 = row[2]
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top = ((0.99915 * m1 + 1.05122 * m2 + 1.14460 * m3) * sub2)
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rbottom = (0.86330 * m3 - 0.17266 * m2)
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lbottom = (0.12949 * m3 - 0.38848 * m1)
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bottom = (rbottom * sinH + lbottom * cosH) * sub2
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for t in (0.0, 1.0):
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C = (L * (top - 1.05122 * t) / (bottom + 0.17266 * sinH * t))
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if C > 0.0 and C < result:
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result = C
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return result
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def _hrad_extremum(L):
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lhs = (math.pow(L, 3.0) + 48.0 * math.pow(L, 2.0) + 768.0 * L + 4096.0) / 1560896.0
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rhs = 1107.0 / 125000.0
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sub = lhs if lhs > rhs else 10.0 * L / 9033.0
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chroma = float("inf")
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result = None
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for row in m:
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for limit in (0.0, 1.0):
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[m1, m2, m3] = row
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top = -3015466475.0 * m3 * sub + 603093295.0 * m2 * sub - 603093295.0 * limit
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bottom = 1356959916.0 * m1 * sub - 452319972.0 * m3 * sub
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hrad = math.atan2(top, bottom)
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# This is a math hack to deal with tan quadrants, I'm too lazy to figure
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# out how to do this properly
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if limit == 0.0:
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hrad += math.pi
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test = max_chroma(L, math.degrees(hrad))
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if test < chroma:
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chroma = test
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result = hrad
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return result
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def max_chroma_pastel(L):
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H = math.degrees(_hrad_extremum(L))
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return max_chroma(L, H)
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def dot_product(a, b):
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return sum(map(operator.mul, a, b))
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def f(t):
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if t > lab_e:
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return (math.pow(t, 1.0 / 3.0))
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else:
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return (7.787 * t + 16.0 / 116.0)
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def f_inv(t):
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if math.pow(t, 3.0) > lab_e:
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return (math.pow(t, 3.0))
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else:
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return (116.0 * t - 16.0) / lab_k
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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, 1.0 / 2.4) - 0.055)
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def to_linear(c):
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a = 0.055
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if c > 0.04045:
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return (math.pow((c + a) / (1.0 + a), 2.4))
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else:
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return (c / 12.92)
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def rgb_prepare(triple):
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ret = []
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for ch in triple:
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ch = round(ch, 3)
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if ch < -0.0001 or ch > 1.0001:
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raise Exception("Illegal RGB value %f" % ch)
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if ch < 0:
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ch = 0
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if ch > 1:
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ch = 1
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# Fix for Python 3 which by default rounds 4.5 down to 4.0
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# instead of Python 2 which is rounded to 5.0 which caused
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# a couple off by one errors in the tests. Tests now all pass
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# in Python 2 and Python 3
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ret.append(round(ch * 255 + 0.001, 0))
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return ret
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def hex_to_rgb(hex):
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if hex.startswith('#'):
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hex = hex[1:]
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r = int(hex[0:2], 16) / 255.0
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g = int(hex[2:4], 16) / 255.0
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b = int(hex[4:6], 16) / 255.0
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return [r, g, b]
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def rgb_to_hex(triple):
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[r, g, b] = triple
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return '#%02x%02x%02x' % tuple(rgb_prepare([r, g, b]))
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def xyz_to_rgb(triple):
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xyz = map(lambda row: dot_product(row, triple), m)
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return list(map(from_linear, xyz))
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def rgb_to_xyz(triple):
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rgbl = list(map(to_linear, triple))
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return list(map(lambda row: dot_product(row, rgbl), m_inv))
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def xyz_to_luv(triple):
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X, Y, Z = triple
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if X == Y == Z == 0.0:
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return [0.0, 0.0, 0.0]
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varU = (4.0 * X) / (X + (15.0 * Y) + (3.0 * Z))
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varV = (9.0 * Y) / (X + (15.0 * Y) + (3.0 * Z))
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L = 116.0 * f(Y / refY) - 16.0
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# Black will create a divide-by-zero error
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if L == 0.0:
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return [0.0, 0.0, 0.0]
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U = 13.0 * L * (varU - refU)
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V = 13.0 * L * (varV - refV)
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return [L, U, V]
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def luv_to_xyz(triple):
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L, U, V = triple
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if L == 0:
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return [0.0, 0.0, 0.0]
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varY = f_inv((L + 16.0) / 116.0)
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varU = U / (13.0 * L) + refU
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varV = V / (13.0 * L) + refV
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Y = varY * refY
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X = 0.0 - (9.0 * Y * varU) / ((varU - 4.0) * varV - varU * varV)
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Z = (9.0 * Y - (15.0 * varV * Y) - (varV * X)) / (3.0 * varV)
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return [X, Y, Z]
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def luv_to_lch(triple):
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L, U, V = triple
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C = (math.pow(math.pow(U, 2) + math.pow(V, 2), (1.0 / 2.0)))
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hrad = (math.atan2(V, U))
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H = math.degrees(hrad)
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if H < 0.0:
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H = 360.0 + H
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return [L, C, H]
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def lch_to_luv(triple):
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L, C, H = triple
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Hrad = math.radians(H)
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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 husl_to_lch(triple):
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H, S, L = triple
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if L > 99.9999999:
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return [100, 0.0, H]
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if L < 0.00000001:
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return [0.0, 0.0, H]
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mx = max_chroma(L, H)
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C = mx / 100.0 * S
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return [L, C, H]
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def lch_to_husl(triple):
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L, C, H = triple
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if L > 99.9999999:
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return [H, 0.0, 100.0]
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if L < 0.00000001:
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return [H, 0.0, 0.0]
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mx = max_chroma(L, H)
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S = C / mx * 100.0
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return [H, S, L]
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def huslp_to_lch(triple):
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H, S, L = triple
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if L > 99.9999999:
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return [100, 0.0, H]
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if L < 0.00000001:
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return [0.0, 0.0, H]
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mx = max_chroma_pastel(L)
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C = mx / 100.0 * S
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return [L, C, H]
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def lch_to_huslp(triple):
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L, C, H = triple
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if L > 99.9999999:
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return [H, 0.0, 100.0]
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if L < 0.00000001:
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return [H, 0.0, 0.0]
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mx = max_chroma_pastel(L)
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S = C / mx * 100.0
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return [H, S, L]

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