



'''simple docstring'''
from ..models.auto import AutoModelForSeqaSeqLM, AutoTokenizer
from .base import PipelineTool


class       _lowerCAmelCase   (   __snake_case				):







							'''simple docstring'''

							lowerCAmelCase_ 						=						"philschmid/bart-large-cnn-samsum"
							lowerCAmelCase_ 						=						(
							    "This is a tool that summarizes an English text. It takes an input `text` containing the text to summarize, "
							    "and returns a summary of the text."
							)
							lowerCAmelCase_ 						=						"summarizer"
							lowerCAmelCase_ 						=						AutoTokenizer
							lowerCAmelCase_ 						=						AutoModelForSeqaSeqLM

							lowerCAmelCase_ 						=						["text"]
							lowerCAmelCase_ 						=						["text"]

							def 	lowercase							(self  ,  UpperCAmelCase  )					->       List[str]:
														return self.pre_processor(UpperCAmelCase  ,  return_tensors="""pt"""  ,  truncation=UpperCAmelCase  )

							def 	lowercase							(self  ,  UpperCAmelCase  )					->       Optional[int]:
														return self.model.generate(**UpperCAmelCase  )[0]





							def 	lowercase							(self  ,  UpperCAmelCase  )					->       str:
														return self.pre_processor.decode(UpperCAmelCase  ,  skip_special_tokens=UpperCAmelCase  ,  clean_up_tokenization_spaces=UpperCAmelCase  )

'''simple docstring'''
from __future__ import annotations






def  __SCREAMING_SNAKE_CASE				(  _SCREAMING_SNAKE_CASE				):
							_snake_case       =  len(_SCREAMING_SNAKE_CASE				)
							# We need to create solution object to save path.
							_snake_case       =  [[0 for _ in range(_SCREAMING_SNAKE_CASE				)] for _ in range(_SCREAMING_SNAKE_CASE				)]
							_snake_case       =  run_maze(_SCREAMING_SNAKE_CASE							, 0							, 0							, _SCREAMING_SNAKE_CASE				)
							if solved:
														print("""\n""".join(str(_SCREAMING_SNAKE_CASE				) for row in solutions				)				)
							else:
														print("""No solution exists!"""				)
							return solved






def  __SCREAMING_SNAKE_CASE				(  _SCREAMING_SNAKE_CASE							, _SCREAMING_SNAKE_CASE							, _SCREAMING_SNAKE_CASE							, _SCREAMING_SNAKE_CASE				):
							_snake_case       =  len(_SCREAMING_SNAKE_CASE				)
							# Final check point.
							if i == j == (size - 1):
														_snake_case       =  1
														return True

							_snake_case       =  (not i < 0) and (not j < 0)  # Check lower bounds
							_snake_case       =  (i < size) and (j < size)  # Check upper bounds

							if lower_flag and upper_flag:
														# check for already visited and block points.
														_snake_case       =  (not solutions[i][j]) and (not maze[i][j])
														if block_flag:
																					# check visited
																					_snake_case       =  1

																					# check for directions
																					if (
																					    run_maze(_SCREAMING_SNAKE_CASE							, i + 1							, _SCREAMING_SNAKE_CASE							, _SCREAMING_SNAKE_CASE				)
																					    or run_maze(_SCREAMING_SNAKE_CASE							, _SCREAMING_SNAKE_CASE							, j + 1							, _SCREAMING_SNAKE_CASE				)
																					    or run_maze(_SCREAMING_SNAKE_CASE							, i - 1							, _SCREAMING_SNAKE_CASE							, _SCREAMING_SNAKE_CASE				)
																					    or run_maze(_SCREAMING_SNAKE_CASE							, _SCREAMING_SNAKE_CASE							, j - 1							, _SCREAMING_SNAKE_CASE				)
																					):
																												return True

																					_snake_case       =  0
																					return False
							return False


if __name__ == "__main__":
				import doctest

				doctest.testmod()