A thing that generates an random "image" in a very inefficient way, and "compresses" the inefficient image in a very basic way. Is very slow.

compression.py

#!/usr/bin/env python3

import random
import time
import hashlib
import re

random.seed()

def getRandomColor():
	"""Generates a random color."""
	r = str(random.randrange(0, 255))
	b = str(random.randrange(0, 255))
	g = str(random.randrange(0, 255))
	a = str(random.randrange(0, 255))
	
	color = r + "," + b + "," + g + "," + a
	return color

def getRandomImage(size):
	"""Generates a random image."""
	image = ""
	y = 1
	for i in range(0, size):
		color = getRandomColor()
		location = str(i) + str(y)
		
		pixel = "{" + location + ":" + color + "}"
		image = image + pixel
		
		if y == 1920:
			image = image + "{\\n}"
			i = 0
			y = y + 1
		
		i = i + 1
	return image

def writeImage(image, path, suffix=""):
	"""Writes the image to the given path."""
	#print(image)
	hash = hashlib.sha224(image.encode("utf-8")).hexdigest()
	name = "2015-02-03_" + hash + suffix
	path = path + name + ".txt"
	
	f = open(path, "w")
	f.write(image)
	f.close()
	
def compress(image):
	"""Compresses the given image"""
	compressed = ""
	#1,1:255,255,255,255
	for r in range(0, 255):
		r = r + 1
		for b in range(0, 255):
			b = b + 1
			for g in range(0, 255):
				g = g + 1
				for a in range(0, 255):
					color = (str(r) + "," + str(b) +
					"," + str(g) + "," + str(a))
					print(color)
					
					pattern = re.compile("{\w*,\w*:" + color + "}")
					pixels = re.findall(pattern, image)
					
					compressed = compressed + "{"
					
					for pixel in pixels:
						coordinates = re.findall("\w*,\w*:")
						coordinate = coordinates[0]
						compressed = compressed + color + ":" + coordinate
						
					compressed = compressed + "}"		
						
					a = a + 1
	return compressed
				
def main():
	"""Runs the program."""
	path = ""
	size = 2073600 #1080p file.
	
	image = getRandomImage(size)
	writeImage(image, path)
	
	compressed = compress(image)
	writeImage(compressed, path, "_COMPRESSED")

main()