





import unittest
from pathlib import Path

from transformers import is_vision_available, load_tool
from transformers.testing_utils import get_tests_dir

from .test_tools_common import ToolTesterMixin


if is_vision_available():
      from PIL import Image






class    snake_case_				(		unittest.TestCase     ,_UpperCAmelCase						):






  def       UpperCAmelCase__						(							self :     Dict			)->Any:






   '''simple docstring'''

   __lowerCAmelCase     :       List[Any]						=   load_tool("""image-question-answering"""			)
   self.tool.setup()
   __lowerCAmelCase     :       str						=   load_tool("""image-question-answering"""   ,  remote=lowercase__			)






  def       UpperCAmelCase__						(							self :     str			)->int:






   '''simple docstring'''

   __lowerCAmelCase     :       Tuple						=   Image.open(Path(get_tests_dir("""fixtures/tests_samples/COCO"""			)			) / """000000039769.png"""			)
   __lowerCAmelCase     :       Tuple						=   self.tool(lowercase__   ,  """How many cats are sleeping on the couch?"""			)
   self.assertEqual(lowercase__   ,  """2"""			)






  def       UpperCAmelCase__						(							self :     Dict			)->Optional[int]:






   '''simple docstring'''

   __lowerCAmelCase     :       Dict						=   Image.open(Path(get_tests_dir("""fixtures/tests_samples/COCO"""			)			) / """000000039769.png"""			)
   __lowerCAmelCase     :       Union[str, Any]						=   self.remote_tool(lowercase__   ,  """How many cats are sleeping on the couch?"""			)
   self.assertEqual(lowercase__   ,  """2"""			)






  def       UpperCAmelCase__						(							self :     Any			)->Optional[int]:






   '''simple docstring'''

   __lowerCAmelCase     :       List[str]						=   Image.open(Path(get_tests_dir("""fixtures/tests_samples/COCO"""			)			) / """000000039769.png"""			)
   __lowerCAmelCase     :       Any						=   self.tool(image=lowercase__   ,  question="""How many cats are sleeping on the couch?"""			)
   self.assertEqual(lowercase__   ,  """2"""			)






  def       UpperCAmelCase__						(							self :     Optional[int]			)->Tuple:






   '''simple docstring'''

   __lowerCAmelCase     :       Union[str, Any]						=   Image.open(Path(get_tests_dir("""fixtures/tests_samples/COCO"""			)			) / """000000039769.png"""			)
   __lowerCAmelCase     :       Union[str, Any]						=   self.remote_tool(image=lowercase__   ,  question="""How many cats are sleeping on the couch?"""			)
   self.assertEqual(lowercase__   ,  """2"""			)


'''simple docstring'''






from __future__ import annotations

from PIL import Image

# Define the first generation of cells
# fmt: off
snake_case_       =       [[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 					__lowerCamelCase			(      SCREAMING_SNAKE_CASE_     :	int    )							->   list[int]:
      """simple docstring"""

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


def 					__lowerCamelCase			(      SCREAMING_SNAKE_CASE_     :	list[list[int]]  ,  SCREAMING_SNAKE_CASE_     :	list[int]  ,  SCREAMING_SNAKE_CASE_     :	int    )							->   list[int]:
      """simple docstring"""

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


def 					__lowerCamelCase			(      SCREAMING_SNAKE_CASE_     :	list[list[int]]    )							->   Image.Image:
      """simple docstring"""

      SCREAMING_SNAKE_CASE_      :			List[Any]     =       Image.new("RGB"  ,  (len(cells[0]    ), len(SCREAMING_SNAKE_CASE_    ))    )
      SCREAMING_SNAKE_CASE_      :			Optional[int]     =       img.load()
      # Generates image
      for w in range(img.width    ):
            for h in range(img.height    ):
                  SCREAMING_SNAKE_CASE_      :			List[str]     =       2_5_5 - int(2_5_5 * cells[h][w]    )
                  SCREAMING_SNAKE_CASE_      :			str     =       (color, color, color)
      return img


if __name__ == "__main__":
      snake_case_       =       bin(int(input('Rule:\n').strip()))[2:]
      snake_case_       =       format_ruleset(int(rule_num))
      for time in range(1_6):
            CELLS.append(new_generation(CELLS, rule, time))
      snake_case_       =       generate_image(CELLS)
      # Uncomment to save the image
      # img.save(f"rule_{rule_num}.png")
      img.show()

