
from ..models.auto import AutoModelForSeqaSeqLM, AutoTokenizer
from .base import PipelineTool


_A       =					'''Here is a text containing a lot of information: \'\'\'{text}\'\'\'.

Can you answer this question about the text: \'{question}\''''







class 	lowerCamelCase						(    A_    ):
     UpperCAmelCase__							:				Union[str, Any] 	=						"google/flan-t5-base"
     UpperCAmelCase__							:				Optional[int] 	=						(
         "This is a tool that answers questions related to a text. It takes two arguments named `text`, which is the "
         "text where to find the answer, and `question`, which is the question, and returns the answer to the question."
     )
     UpperCAmelCase__							:				Union[str, Any] 	=						"text_qa"
     UpperCAmelCase__							:				Union[str, Any] 	=						AutoTokenizer
     UpperCAmelCase__							:				List[str] 	=						AutoModelForSeqaSeqLM

     UpperCAmelCase__							:				int 	=						["text", "text"]
     UpperCAmelCase__							:				Any 	=						["text"]





     def 						UpperCAmelCase(self :       List[Any]							,       _A :       str							,       _A :       str  )		->		str:
         snake_case						=   QA_PROMPT.format(text=_A							,       question=_A  )
         return self.pre_processor(_A							,       return_tensors="pt"  )





     def 						UpperCAmelCase(self :       Tuple							,       _A :       int  )		->		Dict:
         snake_case						=   self.model.generate(**_A  )

         snake_case	,				snake_case						=   inputs["input_ids"].shape
         snake_case						=   output_ids.shape[0]

         return output_ids.reshape(_A							,       out_b // in_b							,       *output_ids.shape[1:]  )[0][0]





     def 						UpperCAmelCase(self :       str							,       _A :       Union[str, Any]  )		->		str:
         return self.pre_processor.decode(_A							,       skip_special_tokens=_A							,       clean_up_tokenization_spaces=_A  )









'''simple docstring'''


lowerCamelCase_					:			List[Any]     						=				{0: [1, 2], 1: [0, 3], 2: [0], 3: [1], 4: [5, 6], 5: [4, 6], 6: [4, 5]}

lowerCamelCase_					:			Tuple     						=				{0: [1, 2, 3], 1: [0, 3], 2: [0], 3: [0, 1], 4: [], 5: []}







def 						__magic_name__(			_A    ,   _A    ,   _A       ):
						'''simple docstring'''





						UpperCamelCase__       =			True
						UpperCamelCase__       =			[]

						for neighbour in graph[vert]:
												if not visited[neighbour]:
																		connected_verts += dfs(_A    ,   _A    ,   _A       )

						return [vert, *connected_verts]







def 						__magic_name__(			_A       ):
						'''simple docstring'''





						UpperCamelCase__       =			len(_A       )
						UpperCamelCase__       =			graph_size * [False]
						UpperCamelCase__       =			[]

						for i in range(_A       ):
												if not visited[i]:
																		UpperCamelCase__       =			dfs(_A    ,   _A    ,   _A       )
																		components_list.append(_A       )

						return components_list


if __name__ == "__main__":
					import doctest

					doctest.testmod()
