not needed
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@ -12,7 +12,7 @@ class Color:
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def __init__(self,
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model = 'RGB',
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color = np.zeros(3,'d')):
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color = np.zeros(3)):
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"""
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Create a Color object.
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@ -157,7 +157,7 @@ class Color:
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[m, x+m, c+m],
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[x+m, m, c+m],
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[c+m, m, x+m],
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][int(sextant)],'d'))
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][int(sextant)]))
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self.model = converted.model
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self.color = converted.color
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@ -171,7 +171,7 @@ class Color:
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"""
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if self.model != 'RGB': return
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HSL = np.zeros(3,'d')
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HSL = np.zeros(3)
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maxcolor = self.color.max()
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mincolor = self.color.min()
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HSL[2] = (maxcolor + mincolor)/2.0
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@ -210,8 +210,8 @@ class Color:
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"""
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if self.model != 'RGB': return
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XYZ = np.zeros(3,'d')
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RGB_lin = np.zeros(3,'d')
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XYZ = np.zeros(3)
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RGB_lin = np.zeros(3)
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convert = np.array([[0.412453,0.357580,0.180423],
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[0.212671,0.715160,0.072169],
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[0.019334,0.119193,0.950227]])
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@ -241,7 +241,7 @@ class Color:
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[-0.969256, 1.875992, 0.041556],
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[ 0.055648,-0.204043, 1.057311]])
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RGB_lin = np.dot(convert,self.color)
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RGB = np.zeros(3,'d')
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RGB = np.zeros(3)
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for i in range(3):
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if (RGB_lin[i] > 0.0031308): RGB[i] = ((RGB_lin[i])**(1.0/2.4))*1.0555-0.0555
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@ -267,8 +267,8 @@ class Color:
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"""
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if self.model != 'CIELAB': return
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ref_white = np.array([.95047, 1.00000, 1.08883],'d') # Observer = 2, Illuminant = D65
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XYZ = np.zeros(3,'d')
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ref_white = np.array([.95047, 1.00000, 1.08883]) # Observer = 2, Illuminant = D65
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XYZ = np.zeros(3)
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XYZ[1] = (self.color[0] + 16.0 ) / 116.0
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XYZ[0] = XYZ[1] + self.color[1]/ 500.0
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@ -293,7 +293,7 @@ class Color:
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"""
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if self.model != 'XYZ': return
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ref_white = np.array([.95047, 1.00000, 1.08883],'d') # Observer = 2, Illuminant = D65
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ref_white = np.array([.95047, 1.00000, 1.08883]) # Observer = 2, Illuminant = D65
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XYZ = self.color/ref_white
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for i in range(len(XYZ)):
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@ -315,7 +315,7 @@ class Color:
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"""
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if self.model != 'CIELAB': return
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Msh = np.zeros(3,'d')
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Msh = np.zeros(3)
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Msh[0] = np.sqrt(np.dot(self.color,self.color))
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if (Msh[0] > 0.001):
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Msh[1] = np.arccos(self.color[0]/Msh[0])
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@ -336,7 +336,7 @@ class Color:
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"""
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if self.model != 'MSH': return
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Lab = np.zeros(3,'d')
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Lab = np.zeros(3)
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Lab[0] = self.color[0] * np.cos(self.color[1])
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Lab[1] = self.color[0] * np.sin(self.color[1]) * np.cos(self.color[2])
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Lab[2] = self.color[0] * np.sin(self.color[1]) * np.sin(self.color[2])
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@ -397,7 +397,6 @@ class Colormap:
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}
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# ------------------------------------------------------------------
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def __init__(self,
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left = Color('RGB',[1,1,1]),
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right = Color('RGB',[0,0,0]),
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@ -434,25 +433,21 @@ class Colormap:
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self.interpolate = interpolate
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# ------------------------------------------------------------------
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def __repr__(self):
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"""Left and right value of colormap."""
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return 'Left: %s Right: %s'%(self.left,self.right)
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# ------------------------------------------------------------------
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def invert(self):
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"""Switch left/minimum with right/maximum."""
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(self.left, self.right) = (self.right, self.left)
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return self
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# ------------------------------------------------------------------
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def show_predefined(self):
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"""Show the labels of the predefined colormaps."""
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print('\n'.join(self.__predefined__.keys()))
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# ------------------------------------------------------------------
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def color(self,fraction = 0.5):
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def interpolate_Msh(lo, hi, frac):
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@ -474,10 +469,10 @@ class Colormap:
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if (Msh1[1] > 0.05 and Msh2[1] > 0.05 and rad_diff(Msh1,Msh2) > np.pi/3.0):
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M_mid = max(Msh1[0],Msh2[0],88.0)
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if frac < 0.5:
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Msh2 = np.array([M_mid,0.0,0.0],'d')
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Msh2 = np.array([M_mid,0.0,0.0])
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frac *= 2.0
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else:
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Msh1 = np.array([M_mid,0.0,0.0],'d')
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Msh1 = np.array([M_mid,0.0,0.0])
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frac = 2.0*frac - 1.0
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if Msh1[1] < 0.05 and Msh2[1] > 0.05: Msh1[2] = adjust_hue(Msh2,Msh1)
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elif Msh1[1] > 0.05 and Msh2[1] < 0.05: Msh2[2] = adjust_hue(Msh1,Msh2)
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@ -501,7 +496,7 @@ class Colormap:
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else:
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raise NameError('unknown color interpolation method')
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# ------------------------------------------------------------------
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def export(self,name = 'uniformPerceptualColorMap',\
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format = 'paraview',\
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steps = 2,\
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