
import random
import sys

import numpy as np
from matplotlib import pyplot as plt
from matplotlib.colors import ListedColormap

snake_case :		List[str]							      =  "Usage of script: script_name <size_of_canvas:int>"

snake_case :		int							      =  [0] * 100 + [1] * 10
random.shuffle(choice)






def   lowerCAmelCase_						(					_snake_case      :  str   )				->		List[Any]:







	'''simple docstring'''


	__magic_name__		:		Optional[int]	   =     [[False for i in range(A__   )] for j in range(A__   )]
	return canvas






def   lowerCAmelCase_						(					_snake_case      :  Union[str, Any]   )				->		List[str]:







	'''simple docstring'''


	for i, row in enumerate(A__   ):
		for j, _ in enumerate(A__   ):
			__magic_name__		:		Tuple	   =     bool(random.getrandbits(1   )   )






def   lowerCAmelCase_						(					_snake_case      :  Dict   )				->		str:







	'''simple docstring'''


	__magic_name__		:		Optional[Any]	   =     np.array(A__   )
	__magic_name__		:		Any	   =     np.array(create_canvas(current_canvas.shape[0]   )   )
	for r, row in enumerate(A__   ):
		for c, pt in enumerate(A__   ):
			__magic_name__		:		Dict	   =     __judge_point(
			    A__      ,   current_canvas[r - 1 : r + 2, c - 1 : c + 2]   )

	__magic_name__		:		Any	   =     next_gen_canvas
	del next_gen_canvas  # cleaning memory as we move on.
	__magic_name__		:		str	   =     current_canvas.tolist()
	return return_canvas






def   lowerCAmelCase_						(					_snake_case      :  Optional[Any]      ,   _snake_case      :  Dict   )				->		Dict:







	'''simple docstring'''


	__magic_name__		:		List[str]	   =     0
	__magic_name__		:		List[str]	   =     0
	# finding dead or alive neighbours count.
	for i in neighbours:
		for status in i:
			if status:
				alive += 1
			else:
				dead += 1

				# handling duplicate entry for focus pt.
	if pt:
		alive -= 1
	else:
		dead -= 1

	# running the rules of game here.
	__magic_name__		:		Optional[Any]	   =     pt
	if pt:
		if alive < 2:
			__magic_name__		:		int	   =     False
		elif alive == 2 or alive == 3:
			__magic_name__		:		List[str]	   =     True
		elif alive > 3:
			__magic_name__		:		int	   =     False
	else:
		if alive == 3:
			__magic_name__		:		Dict	   =     True

	return state


if __name__ == "__main__":
				if len(sys.argv) != 2:
								raise Exception(usage_doc)

				snake_case :		Dict							      =  int(sys.argv[1])
				# main working structure of this module.
				snake_case :		Optional[Any]							      =  create_canvas(canvas_size)
				seed(c)
				snake_case      ,snake_case :		List[str]							      =  plt.subplots()
				fig.show()
				snake_case :		Optional[int]							      =  ListedColormap(["w", "k"])
				try:
								while True:
												snake_case :		Tuple							      =  run(c)
												ax.matshow(c, cmap=cmap)
												fig.canvas.draw()
												ax.cla()
				except KeyboardInterrupt:
								# do nothing.
								pass



'''simple docstring'''






import colorsys

from PIL import Image  # type: ignore


def 		_A     (    A__     ,				A__     ,				A__      ):






 """simple docstring"""



 __lowercase							  = x
 __lowercase							  = y
 for step in range(A__      ):  # noqa: B007
  __lowercase							  = a * a - b * b + x
  __lowercase							  = 2 * a * b + y
  __lowercase							  = a_new

  # divergence happens for all complex number with an absolute value
  # greater than 4
  if a * a + b * b > 4:
   break
 return step / (max_step - 1)


def 		_A     (    A__      ):






 """simple docstring"""



 if distance == 1:
  return (0, 0, 0)
 else:
  return (255, 255, 255)


def 		_A     (    A__      ):






 """simple docstring"""



 if distance == 1:
  return (0, 0, 0)
 else:
  return tuple(round(i * 255      ) for i in colorsys.hsv_to_rgb(A__     ,				1     ,				1      )      )


def 		_A     (    A__ = 800     ,				A__ = 600     ,				A__ = -0.6     ,				A__ = 0     ,				A__ = 3.2     ,				A__ = 50     ,				A__ = True     ,				):






 """simple docstring"""



 __lowercase							  = Image.new('''RGB'''     ,				(image_width, image_height)      )
 __lowercase							  = img.load()

 # loop through the image-coordinates
 for image_x in range(A__      ):
  for image_y in range(A__      ):
   # determine the figure-coordinates based on the image-coordinates
   __lowercase							  = figure_width / image_width * image_height
   __lowercase							  = figure_center_x + (image_x / image_width - 0.5) * figure_width
   __lowercase							  = figure_center_y + (image_y / image_height - 0.5) * figure_height

   __lowercase							  = get_distance(A__     ,				A__     ,				A__      )

   # color the corresponding pixel based on the selected coloring-function
   if use_distance_color_coding:
    __lowercase							  = get_color_coded_rgb(A__      )
   else:
    __lowercase							  = get_black_and_white_rgb(A__      )

 return img


if __name__ == "__main__":
 import doctest

 doctest.testmod()

 # colored version, full figure
 lowerCAmelCase__											=	get_image()

 # uncomment for colored version, different section, zoomed in
 # img = get_image(figure_center_x = -0.6, figure_center_y = -0.4,
 # figure_width = 0.8)

 # uncomment for black and white version, full figure
 # img = get_image(use_distance_color_coding = False)

 # uncomment to save the image
 # img.save("mandelbrot.png")

 img.show()

