code: 
  
  
  from __future__ import annotations
  
  from PIL import Image
  
  # Define the first generation of cells
  # fmt: off
  A_														=      [[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      )->		list[int]:
  
  
  
  
  
  
  
  					'''simple docstring'''
  
  
  
  					return [int(UpperCAmelCase      ) for c in f'''{ruleset:08}'''[:8]]
  
  
  
  
  
  
  
  def 							UpperCAmelCase				(     UpperCAmelCase				,UpperCAmelCase				,UpperCAmelCase      )->		list[int]:
  
  
  
  
  
  
  
  					'''simple docstring'''
  
  
  
  					SCREAMING_SNAKE_CASE_	      =       len(cells[0]      )  # 31
  					SCREAMING_SNAKE_CASE_	      =       []
  					for i in range(UpperCAmelCase      ):
  										# Get the neighbors of each cell
  										# Handle neighbours outside bounds by using 0 as their value
  										SCREAMING_SNAKE_CASE_	      =       0 if i == 0 else cells[time][i - 1]
  										SCREAMING_SNAKE_CASE_	      =       0 if i == population - 1 else cells[time][i + 1]
  										# Define a new cell and add it to the new generation
  										SCREAMING_SNAKE_CASE_	      =       7 - int(f'''{left_neighbor}{cells[time][i]}{right_neighbor}'''				,2      )
  										next_generation.append(rule[situation]      )
  					return next_generation
  
  
  
  
  
  
  
  def 							UpperCAmelCase				(     UpperCAmelCase      )->		Image.Image:
  
  
  
  
  
  
  
  					'''simple docstring'''
  
  
  
  					SCREAMING_SNAKE_CASE_	      =       Image.new('''RGB'''				,(len(cells[0]      ), len(UpperCAmelCase      ))      )
  					SCREAMING_SNAKE_CASE_	      =       img.load()
  					# Generates image
  					for w in range(img.width      ):
  										for h in range(img.height      ):
  															SCREAMING_SNAKE_CASE_	      =       255 - int(255 * cells[h][w]      )
  															SCREAMING_SNAKE_CASE_	      =       (color, color, color)
  					return img
  
  
  if __name__ == "__main__":
  		A_														=      bin(int(input("Rule:\n").strip()))[2:]
  		A_														=      format_ruleset(int(rule_num))
  		for time in range(1_6):
  				CELLS.append(new_generation(CELLS, rule, time))
  		A_														=      generate_image(CELLS)
  		# Uncomment to save the image
  		# img.save(f"rule_{rule_num}.png")
  		img.show()
  
  
  
style_context: 
  
  
  import unittest
  
  from transformers import load_tool
  from transformers.tools.agent_types import AGENT_TYPE_MAPPING
  
  from .test_tools_common import ToolTesterMixin, output_types
  
  class 						snake_case			(       unittest.TestCase	, lowerCAmelCase__	):
  			'''simple docstring'''
  
  			def _lowercase (	self     :     List[Any]					)					->					Optional[Any]:
  
  
  
  
  								"""simple docstring"""
  
  
  
  
  
  
  								SCREAMING_SNAKE_CASE_	      =       load_tool('''translation'''					)
  								self.tool.setup()
  								SCREAMING_SNAKE_CASE_	      =       load_tool('''translation'''							,							remote=lowerCAmelCase_					)
  
  			def _lowercase (	self     :     Tuple					)					->					str:
  
  
  
  
  								"""simple docstring"""
  
  
  
  
  
  
  								SCREAMING_SNAKE_CASE_	      =       self.tool('''Hey, what\'s up?'''							,							src_lang='''English'''							,							tgt_lang='''French'''					)
  								self.assertEqual(lowerCAmelCase_							,							'''- Hé, comment ça va?'''					)
  
  			def _lowercase (	self     :     Optional[Any]					)					->					int:
  
  
  
  
  								"""simple docstring"""
  
  
  
  
  
  
  								SCREAMING_SNAKE_CASE_	      =       self.remote_tool('''Hey, what\'s up?'''							,							src_lang='''English'''							,							tgt_lang='''French'''					)
  								self.assertEqual(lowerCAmelCase_							,							'''- Hé, comment ça va?'''					)
  
  			def _lowercase (	self     :     Optional[int]					)					->					str:
  
  
  
  
  								"""simple docstring"""
  
  
  
  
  
  
  								SCREAMING_SNAKE_CASE_	      =       self.tool(text='''Hey, what\'s up?'''							,							src_lang='''English'''							,							tgt_lang='''French'''					)
  								self.assertEqual(lowerCAmelCase_							,							'''- Hé, comment ça va?'''					)
  
  			def _lowercase (	self     :     str					)					->					List[str]:
  
  
  
  
  								"""simple docstring"""
  
  
  
  
  
  
  								SCREAMING_SNAKE_CASE_	      =       self.remote_tool(text='''Hey, what\'s up?'''							,							src_lang='''English'''							,							tgt_lang='''French'''					)
  								self.assertEqual(lowerCAmelCase_							,							'''- Hé, comment ça va?'''					)
  
  			def _lowercase (	self     :     Optional[int]					)					->					Dict:
  
  
  
  
  								"""simple docstring"""
  
  
  
  
  
  
  								SCREAMING_SNAKE_CASE_	      =       ['''Hey, what\'s up?''', '''English''', '''Spanish''']
  								SCREAMING_SNAKE_CASE_	      =       self.tool(*lowerCAmelCase_					)
  
  								# There is a single output
  								if len(self.tool.outputs					) == 1:
  													SCREAMING_SNAKE_CASE_	      =       [outputs]
  
  								self.assertListEqual(output_types(lowerCAmelCase_					)							,							self.tool.outputs					)
  
  			def _lowercase (	self     :     Optional[int]					)					->					List[str]:
  
  
  
  
  								"""simple docstring"""
  
  
  
  
  
  
  								SCREAMING_SNAKE_CASE_	      =       ['''Hey, what\'s up?''', '''English''', '''Spanish''']
  								SCREAMING_SNAKE_CASE_	      =       self.tool(*lowerCAmelCase_					)
  
  								if not isinstance(lowerCAmelCase_							,							lowerCAmelCase_					):
  													SCREAMING_SNAKE_CASE_	      =       [outputs]
  
  								self.assertEqual(len(lowerCAmelCase_					)							,							len(self.tool.outputs					)					)
  
  								for output, output_type in zip(lowerCAmelCase_							,							self.tool.outputs					):
  													SCREAMING_SNAKE_CASE_	      =       AGENT_TYPE_MAPPING[output_type]
  													self.assertTrue(isinstance(lowerCAmelCase_							,							lowerCAmelCase_					)					)
  
  
  
  
  			def _lowercase (	self     :     Tuple					)					->					int:
  
  
  
  
  								"""simple docstring"""
  
  
  
  
  
  
  								SCREAMING_SNAKE_CASE_	      =       ['''Hey, what\'s up?''', '''English''', '''Spanish''']
  
  								SCREAMING_SNAKE_CASE_	      =       []
  
  								for _input, input_type in zip(lowerCAmelCase_							,							self.tool.inputs					):
  													if isinstance(lowerCAmelCase_							,							lowerCAmelCase_					):
  																		_inputs.append([AGENT_TYPE_MAPPING[_input_type](_input					) for _input_type in input_type]					)
  													else:
  																		_inputs.append(AGENT_TYPE_MAPPING[input_type](_input					)					)
  
          # Should not raise an error
  								SCREAMING_SNAKE_CASE_	      =       self.tool(*lowerCAmelCase_					)
  
  								if not isinstance(lowerCAmelCase_							,							lowerCAmelCase_					):
  													SCREAMING_SNAKE_CASE_	      =       [outputs]
  
  								self.assertEqual(len(lowerCAmelCase_					)							,							len(self.tool.outputs					)					)
  
  
  