python从一组颜色中找出与给定颜色最接近的颜色

from colorsys import rgb_to_hsv
 
colors = dict((
((196,2,51),"RED"),((255,165,0),"ORANGE"),205,"YELLOW"),((0,128,"GREEN"),255),"BLUE"),((127,"VIOLET"),"BLACK"),255,"WHITE"),))
 
def to_hsv( color ):
    """ converts color tuples to floats and then to hsv """
    return rgb_to_hsv(*[x/255.0 for x in color]) #rgb_to_hsv wants floats!
 
def color_dist( c1,c2):
    """ returns the squared euklidian distance between two color vectors in hsv space """
    return sum( (a-b)**2 for a,b in zip(to_hsv(c1),to_hsv(c2)) )
 
def min_color_diff( color_to_match,colors):
    """ returns the `(distance,color_name)` with the minimal distance to `colors`"""
    return min( # overal best is the best match to any color:
        (color_dist(color_to_match,test),colors[test]) # (distance to `test` color,color name)
        for test in colors)
 
color_to_match = (255,0)
print min_color_diff( color_to_match,colors)