

'''simple docstring'''

from __future__ import annotations

from PIL import Image

# Define the first generation of cells
# fmt: off
lowercase__            =     [[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(	UpperCAmelCase_      ):
 return [int(UpperCAmelCase_      ) for c in F"""{ruleset:08}"""[:8]]




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




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


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









'''simple docstring'''







def 			_lowerCAmelCase(      UpperCAmelCase_      :	str						) ->							str:
							lowerCAmelCase__  =   word.upper()
							lowerCAmelCase__  =   0
							lowerCAmelCase__  =   {}
							lowerCAmelCase__  =   []

							for letter in word:
														if letter not in letter_nums:
																					lowerCAmelCase__  =   str(UpperCAmelCase_						)
																					next_num += 1
														word_pattern.append(letter_nums[letter]						)
							return ".".join(UpperCAmelCase_						)


if __name__ == "__main__":
		import pprint
		import time

		_UpperCamelCase  						=			time.time()
		with open("""dictionary.txt""") as in_file:
				_UpperCamelCase  						=			in_file.read().splitlines()

		_UpperCamelCase  						=			{}
		for word in word_list:
				_UpperCamelCase  						=			get_word_pattern(word)
				if pattern in all_patterns:
						all_patterns[pattern].append(word)
				else:
						_UpperCamelCase  						=			[word]

		with open("""word_patterns.txt""", """w""") as out_file:
				out_file.write(pprint.pformat(all_patterns))

		_UpperCamelCase  						=			round(time.time() - start_time, 2)
		print(f'Done!  {len(all_patterns):,} word patterns found in {total_time} seconds.')
		# Done!  9,581 word patterns found in 0.58 seconds.





