






from __future__ import annotations

from PIL import Image

# Define the first generation of cells
# fmt: off
A__     :      Optional[Any]             =			[[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   a      (						lowerCamelCase_    ):






				'''simple docstring'''
				return [int(lowerCamelCase_    ) for c in F"""{ruleset:08}"""[:8]]






def   a      (						lowerCamelCase_		,       lowerCamelCase_		,       lowerCamelCase_    ):






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






def   a      (						lowerCamelCase_    ):






				'''simple docstring'''
				lowercase__       			=      Image.new('''RGB'''		,       (len(cells[0]    ), len(lowerCamelCase_    ))    )
				lowercase__       			=      img.load()
				# Generates image
				for w in range(img.width    ):
								for h in range(img.height    ):
												lowercase__       			=      255 - int(255 * cells[h][w]    )
												lowercase__       			=      (color, color, color)
				return img


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










import unittest

from datasets import load_dataset

from transformers import load_tool

from .test_tools_common import ToolTesterMixin
class 				_UpperCAmelCase (	unittest.TestCase		,A__     ):

				"""simple docstring"""




				def     lowercase__       (					self						:   str  ):

								'''simple docstring'''
								lowercase__       			=      load_tool('''document-question-answering'''  )
								self.tool.setup()
								lowercase__       			=      load_tool('''document-question-answering''',  remote=lowerCamelCase  )




				def     lowercase__       (					self						:   List[Any]  ):

								'''simple docstring'''
								lowercase__       			=      load_dataset('''hf-internal-testing/example-documents''',  split='''test'''  )
								lowercase__       			=      dataset[0]['''image''']

								lowercase__       			=      self.tool(lowerCamelCase,  '''When is the coffee break?'''  )
								self.assertEqual(lowerCamelCase,  '''11-14 to 11:39 a.m.'''  )




				def     lowercase__       (					self						:   Optional[Any]  ):

								'''simple docstring'''
								lowercase__       			=      load_dataset('''hf-internal-testing/example-documents''',  split='''test'''  )
								lowercase__       			=      dataset[0]['''image''']

								lowercase__       			=      self.remote_tool(lowerCamelCase,  '''When is the coffee break?'''  )
								self.assertEqual(lowerCamelCase,  '''11-14 to 11:39 a.m.'''  )




				def     lowercase__       (					self						:   Any  ):

								'''simple docstring'''
								lowercase__       			=      load_dataset('''hf-internal-testing/example-documents''',  split='''test'''  )
								lowercase__       			=      dataset[0]['''image''']

								self.tool(document=lowerCamelCase,  question='''When is the coffee break?'''  )




				def     lowercase__       (					self						:   Tuple  ):

								'''simple docstring'''
								lowercase__       			=      load_dataset('''hf-internal-testing/example-documents''',  split='''test'''  )
								lowercase__       			=      dataset[0]['''image''']

								lowercase__       			=      self.remote_tool(document=lowerCamelCase,  question='''When is the coffee break?'''  )
								self.assertEqual(lowerCamelCase,  '''11-14 to 11:39 a.m.'''  )




