





"""simple docstring"""





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


_lowerCamelCase  					=     '''Here is a text containing a lot of information: \'\'\'{text}\'\'\'.\n\nCan you answer this question about the text: \'{question}\''''





class       snake_case		(       __UpperCAmelCase       ):
      lowerCamelCase__      =			'google/flan-t5-base'
      lowerCamelCase__      =			(
          '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.'
      )
      lowerCamelCase__      =			'text_qa'
      lowerCamelCase__      =			AutoTokenizer
      lowerCamelCase__      =			AutoModelForSeqaSeqLM

      lowerCamelCase__      =			['text', 'text']
      lowerCamelCase__      =			['text']

      def 						SCREAMING_SNAKE_CASE_      (      self       :Dict						,							_lowerCamelCase       :Any						,							_lowerCamelCase       :str						):
       __SCREAMING_SNAKE_CASE			:      Optional[Any] 							=	QA_PROMPT.format(text=_lowerCamelCase						,							question=_lowerCamelCase						)
       return self.pre_processor(_lowerCamelCase						,							return_tensors='''pt'''						)

      def 						SCREAMING_SNAKE_CASE_      (      self       :List[str]						,							_lowerCamelCase       :Tuple						):
       __SCREAMING_SNAKE_CASE			:      int 							=	self.model.generate(**_lowerCamelCase						)

       __SCREAMING_SNAKE_CASE							,				__SCREAMING_SNAKE_CASE			:      List[Any] 							=	inputs['''input_ids'''].shape
       __SCREAMING_SNAKE_CASE			:      str 							=	output_ids.shape[0]

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



      def 						SCREAMING_SNAKE_CASE_      (      self       :List[Any]						,							_lowerCamelCase       :Union[str, Any]						):
       return self.pre_processor.decode(_lowerCamelCase						,							skip_special_tokens=_lowerCamelCase						,							clean_up_tokenization_spaces=_lowerCamelCase						)








"""simple docstring"""





def 		lowerCAmelCase_     (  lowercase_       :							Tuple			,				lowercase_       :							Any			,				lowercase_       :							List[str]		):

 '''simple docstring'''






 __SCREAMING_SNAKE_CASE			:      Any 							=	index
 __SCREAMING_SNAKE_CASE			:      Union[str, Any] 							=	2 * index + 1
 __SCREAMING_SNAKE_CASE			:      Any 							=	2 * index + 2
 if left_index < heap_size and unsorted[left_index] > unsorted[largest]:
  __SCREAMING_SNAKE_CASE			:      str 							=	left_index

 if right_index < heap_size and unsorted[right_index] > unsorted[largest]:
  __SCREAMING_SNAKE_CASE			:      Optional[Any] 							=	right_index

 if largest != index:
  __SCREAMING_SNAKE_CASE							,				__SCREAMING_SNAKE_CASE			:      List[str] 							=	unsorted[index], unsorted[largest]
  heapify(lowercase_			,				lowercase_			,				lowercase_		)




def 		lowerCAmelCase_     (  lowercase_       :							List[Any]		):

 '''simple docstring'''






 __SCREAMING_SNAKE_CASE			:      Dict 							=	len(lowercase_		)
 for i in range(n // 2 - 1			,				-1			,				-1		):
  heapify(lowercase_			,				lowercase_			,				lowercase_		)
 for i in range(n - 1			,				0			,				-1		):
  __SCREAMING_SNAKE_CASE							,				__SCREAMING_SNAKE_CASE			:      List[Any] 							=	unsorted[i], unsorted[0]
  heapify(lowercase_			,				0			,				lowercase_		)
 return unsorted


if __name__ == "__main__":
    _lowerCamelCase  					=     input('''Enter numbers separated by a comma:\n''').strip()
    _lowerCamelCase  					=     [int(item) for item in user_input.split(''',''')]
    print(heap_sort(unsorted))

