# -*- coding: utf-8 -*-
from PIL import Image
from math import *
from random import random

weights = []
weights.append([1, 0.7, 0.1])
weights.append([0.5, 0.7, 0.9])
neurons_2 = [0, 0, 0, 0]
weights_2 = [
        [0,0.4],
        [1,0.4],
        [0.2,0.6],
        [0.4,0.7]]
img_height = 150
img_width = 150
r, b, g = (0, 0, 0)

def network(x, y, weights):
    for i in range(len(neurons_2)):
        neurons_2[i] = x * weights_2[0][i] + y * weights_2[1][i]
    r = int(x * weights[0][0] + y * weights[1][0]) #R
    g = int(x * weights[0][1] + y * weights[1][1])#G
    b = int(x * weights[0][2] + y * weights[1][2]) #B

    return r, g, b

network(10,25, weights)



img = Image.new("RGB", (img_height,img_width))
img_pixels = img.load()

for x in range(img_height):
    for y in range(img_width):
        img_pixels[x, y] = network(x,y, weights)
        print(img_pixels[x, y])


img.show()