


'''simple docstring'''




from __future__ import annotations

from PIL import Image

# Define the first generation of cells
# fmt: off
_lowerCAmelCase	:		int		  =						[[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1,
          0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]

def       __UpperCamelCase     (     _A     :					Dict					)     ->   list[int]:




	"""simple docstring"""





	return [int(A_					) for c in F"{ruleset:08}"[:8]]

def       __UpperCamelCase     (     _A     :					Any       , _A     :					Any       , _A     :					Union[str, Any]					)     ->   list[int]:




	"""simple docstring"""





	lowerCAmelCase       :     int   				=			len(cells[0]					)  # 31
	lowerCAmelCase       :     Optional[int]   				=			[]
	for i in range(A_					):
		# Get the neighbors of each cell
		# Handle neighbours outside bounds by using 0 as their value
		lowerCAmelCase       :     Union[str, Any]   				=			0 if i == 0 else cells[time][i - 1]
		lowerCAmelCase       :     Union[str, Any]   				=			0 if i == population - 1 else cells[time][i + 1]
		# Define a new cell and add it to the new generation
		lowerCAmelCase       :     int   				=			7 - int(F"{left_neighbor}{cells[time][i]}{right_neighbor}"       , 2					)
		next_generation.append(rule[situation]					)
	return next_generation

def       __UpperCamelCase     (     _A     :					Tuple					)     ->   Image.Image:




	"""simple docstring"""





	lowerCAmelCase       :     List[Any]   				=			Image.new('RGB'       , (len(cells[0]					), len(A_					))					)
	lowerCAmelCase       :     Any   				=			img.load()
	# Generates image
	for w in range(img.width					):
		for h in range(img.height					):
			lowerCAmelCase       :     List[str]   				=			2_55 - int(2_55 * cells[h][w]					)
			lowerCAmelCase       :     Any   				=			(color, color, color)
	return img


if __name__ == "__main__":
				_lowerCAmelCase	:		int		  =						bin(int(input('Rule:\n').strip()))[2:]
				_lowerCAmelCase	:		Tuple		  =						format_ruleset(int(rule_num))
				for time in range(16):
								CELLS.append(new_generation(CELLS, rule, time))
				_lowerCAmelCase	:		Union[str, Any]		  =						generate_image(CELLS)
				# Uncomment to save the image
				# img.save(f"rule_{rule_num}.png")
				img.show()




"""simple docstring"""







import warnings

from ...utils import logging
from .image_processing_levit import LevitImageProcessor


__lowercase          = logging.get_logger(__name__)






class 		_A    (    _a    ):







    """simple docstring"""




    def __init__(   self							:       Optional[int]							,					*__UpperCAmelCase							:       Dict							,					**__UpperCAmelCase							:       Any):
      warnings.warn(
          "The class LevitFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
          " use LevitImageProcessor instead."							,					__UpperCAmelCase							,					)
      super().__init__(*__UpperCAmelCase							,					**__UpperCAmelCase)






