'''simple docstring'''





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


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

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



class   UpperCamelCase					(       a_       ):







    """simple docstring"""





    A     :    str				=			"google/flan-t5-base"
    A     :    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."
    )
    A     :    str				=			"text_qa"
    A     :    Union[str, Any]				=			AutoTokenizer
    A     :    Optional[int]				=			AutoModelForSeqaSeqLM

    A     :    Optional[int]				=			["text", "text"]
    A     :    List[Any]				=			["text"]





    def    SCREAMING_SNAKE_CASE_     (					self     :						List[Any]							,							UpperCAmelCase_     :						str							,							UpperCAmelCase_     :						str):


         """simple docstring"""







         a					:							int							= QA_PROMPT.format(text=UpperCamelCase_							,							question=UpperCamelCase_)
         return self.pre_processor(UpperCamelCase_							,							return_tensors='pt')





    def    SCREAMING_SNAKE_CASE_     (					self     :						Optional[int]							,							UpperCAmelCase_     :						str):


         """simple docstring"""







         a					:							str							= self.model.generate(**UpperCamelCase_)

         a					:							List[str]							= inputs['input_ids'].shape
         a					:							List[str]							= output_ids.shape[0]

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







    def    SCREAMING_SNAKE_CASE_     (					self     :						Optional[Any]							,							UpperCAmelCase_     :						Optional[int]):


         """simple docstring"""







         return self.pre_processor.decode(UpperCamelCase_							,							skip_special_tokens=UpperCamelCase_							,							clean_up_tokenization_spaces=UpperCamelCase_)






'''simple docstring'''

def     __UpperCamelCase					(				_lowercase = 1000       )			->      int:
	_lowercase       :							Dict  	=		0
	_lowercase       :							int  	=		0
	while 1:
		num += 3
		if num >= n:
			break
		total += num
		num += 2
		if num >= n:
			break
		total += num
		num += 1
		if num >= n:
			break
		total += num
		num += 3
		if num >= n:
			break
		total += num
		num += 1
		if num >= n:
			break
		total += num
		num += 2
		if num >= n:
			break
		total += num
		num += 3
		if num >= n:
			break
		total += num
	return total


if __name__ == "__main__":
		print(F'''{solution() = }''')
