#!/usr/bin/env python3
# -*- coding: utf-8 -*-

from PIL import Image, ImageChops, ImageDraw

def quantizetopalette(silf, palette, dither=False):
    """Convert an RGB or L mode image to use a given P image's palette."""

    silf.load()

    # use palette from reference image
    palette.load()
    if palette.mode != "P":
        raise ValueError("bad mode for palette image")
    if silf.mode != "RGB" and silf.mode != "L":
        raise ValueError(
            "only RGB or L mode images can be quantized to a palette"
            )
    im = silf.im.convert("P", 1 if dither else 0, palette.im)
    # the 0 above means turn OFF dithering

    # Later versions of Pillow (4.x) rename _makeself to _new
    try:
        return silf._new(im)
    except AttributeError:
        return silf._makeself(im)


BGR233 = [0, 0, 0, 0, 0, 85, 0, 0, 170, 0, 0, 255, 36, 0, 0, 36, 0, 85, 36, 0, 170, 36, 0, 255, 73, 0, 0, 73, 0, 85, 73, 0, 170, 73, 0, 255, 109, 0, 0, 109, 0, 85, 109, 0, 170, 109, 0, 255, 146, 0, 0, 146, 0, 85, 146, 0, 170, 146, 0, 255, 182, 0, 0, 182, 0, 85, 182, 0, 170, 182, 0, 255, 219, 0, 0, 219, 0, 85, 219, 0, 170, 219, 0, 255, 255, 0, 0, 255, 0, 85, 255, 0, 170, 255, 0, 255, 0, 36, 0, 0, 36, 85, 0, 36, 170, 0, 36, 255, 36, 36, 0, 36, 36, 85, 36, 36, 170, 36, 36, 255, 73, 36, 0, 73, 36, 85, 73, 36, 170, 73, 36, 255, 109, 36, 0, 109, 36, 85, 109, 36, 170, 109, 36, 255, 146, 36, 0, 146, 36, 85, 146, 36, 170, 146, 36, 255, 182, 36, 0, 182, 36, 85, 182, 36, 170, 182, 36, 255, 219, 36, 0, 219, 36, 85, 219, 36, 170, 219, 36, 255, 255, 36, 0, 255, 36, 85, 255, 36, 170, 255, 36, 255, 0, 73, 0, 0, 73, 85, 0, 73, 170, 0, 73, 255, 36, 73, 0, 36, 73, 85, 36, 73, 170, 36, 73, 255, 73, 73, 0, 73, 73, 85, 73, 73, 170, 73, 73, 255, 109, 73, 0, 109, 73, 85, 109, 73, 170, 109, 73, 255, 146, 73, 0, 146, 73, 85, 146, 73, 170, 146, 73, 255, 182, 73, 0, 182, 73, 85, 182, 73, 170, 182, 73, 255, 219, 73, 0, 219, 73, 85, 219, 73, 170, 219, 73, 255, 255, 73, 0, 255, 73, 85, 255, 73, 170, 255, 73, 255, 0, 109, 0, 0, 109, 85, 0, 109, 170, 0, 109, 255, 36, 109, 0, 36, 109, 85, 36, 109, 170, 36, 109, 255, 73, 109, 0, 73, 109, 85, 73, 109, 170, 73, 109, 255, 109, 109, 0, 109, 109, 85, 109, 109, 170, 109, 109, 255, 146, 109, 0, 146, 109, 85, 146, 109, 170, 146, 109, 255, 182, 109, 0, 182, 109, 85, 182, 109, 170, 182, 109, 255, 219, 109, 0, 219, 109, 85, 219, 109, 170, 219, 109, 255, 255, 109, 0, 255, 109, 85, 255, 109, 170, 255, 109, 255, 0, 146, 0, 0, 146, 85, 0, 146, 170, 0, 146, 255, 36, 146, 0, 36, 146, 85, 36, 146, 170, 36, 146, 255, 73, 146, 0, 73, 146, 85, 73, 146, 170, 73, 146, 255, 109, 146, 0, 109, 146, 85, 109, 146, 170, 109, 146, 255, 146, 146, 0, 146, 146, 85, 146, 146, 170, 146, 146, 255, 182, 146, 0, 182, 146, 85, 182, 146, 170, 182, 146, 255, 219, 146, 0, 219, 146, 85, 219, 146, 170, 219, 146, 255, 255, 146, 0, 255, 146, 85, 255, 146, 170, 255, 146, 255, 0, 182, 0, 0, 182, 85, 0, 182, 170, 0, 182, 255, 36, 182, 0, 36, 182, 85, 36, 182, 170, 36, 182, 255, 73, 182, 0, 73, 182, 85, 73, 182, 170, 73, 182, 255, 109, 182, 0, 109, 182, 85, 109, 182, 170, 109, 182, 255, 146, 182, 0, 146, 182, 85, 146, 182, 170, 146, 182, 255, 182, 182, 0, 182, 182, 85, 182, 182, 170, 182, 182, 255, 219, 182, 0, 219, 182, 85, 219, 182, 170, 219, 182, 255, 255, 182, 0, 255, 182, 85, 255, 182, 170, 255, 182, 255, 0, 219, 0, 20, 219, 85, 0, 219, 170, 0, 219, 255, 36, 219, 0, 36, 219, 85, 36, 219, 170, 36, 219, 255, 73, 219, 0, 73, 219, 85, 73, 219, 170, 73, 219, 255, 109, 219, 0, 109, 219, 85, 109, 219, 170, 109, 219, 255, 146, 219, 0, 146, 219, 85, 146, 219, 170, 146, 219, 255, 182, 219, 0, 182, 219, 85, 182, 219, 170, 182, 219, 255, 219, 219, 0, 219, 219, 85, 219, 219, 170, 219, 219, 255, 255, 219, 0, 255, 219, 85, 255, 219, 170, 255, 219, 255, 0, 255, 0, 0, 255, 85, 0, 255, 170, 0, 255, 255, 36, 255, 0, 36, 255, 85, 36, 255, 170, 36, 255, 255, 73, 255, 0, 73, 255, 85, 73, 255, 170, 73, 255, 255, 109, 255, 0, 109, 255, 85, 109, 255, 170, 109, 255, 255, 146, 255, 0, 146, 255, 85, 146, 255, 170, 146, 255, 255, 182, 255, 0, 182, 255, 85, 182, 255, 170, 182, 255, 255, 219, 255, 0, 219, 255, 85, 219, 255, 170, 219, 255, 255, 255, 255, 0, 255, 255, 85, 255, 255, 170, 255, 255, 255]

im = Image.open("/Users/radix/Downloads/IMG_20170929_185311.jpg")
print(im)

p = Image.new("P",(16,16))
p.putpalette(BGR233)

#im2 = im.quantize(palette=p)

im2 = quantizetopalette(im, p, dither=False)

im2.show()

print(im2.getpalette() == BGR233)