"""simple docstring"""





from typing import TYPE_CHECKING

import torch

from ..models.auto import AutoModelForVisualQuestionAnswering, AutoProcessor
from ..utils import requires_backends
from .base import PipelineTool


if TYPE_CHECKING:
    from PIL import Image
class  _snake_case     (					_a		):
      snake_case__			  =			"""dandelin/vilt-b32-finetuned-vqa"""
      snake_case__			  =			(
          """This is a tool that answers a question about an image. It takes an input named `image` which should be the """
          """image containing the information, as well as a `question` which should be the question in English. It """
          """returns a text that is the answer to the question."""
      )
      snake_case__			  =			"""image_qa"""
      snake_case__			  =			AutoProcessor
      snake_case__			  =			AutoModelForVisualQuestionAnswering

      snake_case__			  =			["""image""", """text"""]
      snake_case__			  =			["""text"""]






      def __init__(       self      :			str							,					*UpperCAmelCase      :			List[str]							,					**UpperCAmelCase      :			str    ):
             requires_backends(self							,					["vision"]    )
             super().__init__(*snake_case_							,					**snake_case_    )






      def       lowerCamelCase__     (       self      :			List[str]							,					UpperCAmelCase      :			List[Any]							,					UpperCAmelCase      :			int    ):
             return self.pre_processor(snake_case_							,					snake_case_							,					return_tensors="pt"    )






      def       lowerCamelCase__     (       self      :			Optional[int]							,					UpperCAmelCase      :			int    ):
             with torch.no_grad():
                    return self.model(**snake_case_    ).logits







      def       lowerCamelCase__     (       self      :			Union[str, Any]							,					UpperCAmelCase      :			Dict    ):
             __lowerCamelCase					:		Union[str, Any]		   =     outputs.argmax(-1    ).item()
             return self.model.config.idalabel[idx]
"""simple docstring"""





from __future__ import annotations


def    lowercase_   (   _lowerCamelCase:	list[list[int]]      ) ->      bool:



							'''simple docstring'''

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


def    lowercase_   (   _lowerCamelCase:	list[list[int]]						,   _lowerCamelCase:	int						,   _lowerCamelCase:	int						,   _lowerCamelCase:	list[list[int]]      ) ->      bool:



							'''simple docstring'''

							__lowerCamelCase					:		Dict		   =     len(_lowerCamelCase      )
							# Final check point.
							if i == j == (size - 1):
														__lowerCamelCase					:		Optional[Any]		   =     1
														return True

							__lowerCamelCase					:		int		   =     (not i < 0) and (not j < 0)  # Check lower bounds
							__lowerCamelCase					:		Union[str, Any]		   =     (i < size) and (j < size)  # Check upper bounds

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

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

																					__lowerCamelCase					:		List[str]		   =     0
																					return False
							return False


if __name__ == "__main__":
				import doctest

				doctest.testmod()