




'''simple docstring'''



from __future__ import annotations




def   lowercase__(			__UpperCamelCase:					list[int]    ):  # This function is recursive

      """simple docstring"""






      SCREAMING_SNAKE_CASE   :      Optional[int]    					=						len(__UpperCamelCase    )
      # If the array contains only one element, we return it (it's the stop condition of
      # recursion)
      if array_length <= 1:
            return array
            # Else
      SCREAMING_SNAKE_CASE   :      Optional[Any]    					=						array[0]
      SCREAMING_SNAKE_CASE   :      List[str]    					=						False
      SCREAMING_SNAKE_CASE   :      Any    					=						1
      SCREAMING_SNAKE_CASE   :      list[int]    					=						[]
      while not is_found and i < array_length:
            if array[i] < pivot:
                  SCREAMING_SNAKE_CASE   :      int    					=						True
                  SCREAMING_SNAKE_CASE   :      Optional[int]    					=						[element for element in array[i:] if element >= array[i]]
                  SCREAMING_SNAKE_CASE   :      List[str]    					=						longest_subsequence(__UpperCamelCase    )
                  if len(__UpperCamelCase    ) > len(__UpperCamelCase    ):
                        SCREAMING_SNAKE_CASE   :      List[str]    					=						temp_array
            else:
                  i += 1

      SCREAMING_SNAKE_CASE   :      Tuple    					=						[element for element in array[1:] if element >= pivot]
      SCREAMING_SNAKE_CASE   :      Optional[Any]    					=						[pivot, *longest_subsequence(__UpperCamelCase    )]
      if len(__UpperCamelCase    ) > len(__UpperCamelCase    ):
            return temp_array
      else:
            return longest_subseq


if __name__ == "__main__":
      import doctest

      doctest.testmod()








'''simple docstring'''



from typing import Dict

from .base import GenericTensor, Pipeline






class 							_a				(			SCREAMING_SNAKE_CASE ):





       '''simple docstring'''






       def        UpperCamelCase_							(      self,							A=None,							A=None,							A=None,							**A  ):







             '''simple docstring'''







             if tokenize_kwargs is None:
                   SCREAMING_SNAKE_CASE   :      Optional[int]    					=						{}

             if truncation is not None:
                   if "truncation" in tokenize_kwargs:
                         raise ValueError(
                             'truncation parameter defined twice (given as keyword argument as well as in tokenize_kwargs)'  )
                   SCREAMING_SNAKE_CASE   :      Tuple    					=						truncation

             SCREAMING_SNAKE_CASE   :      int    					=						tokenize_kwargs

             SCREAMING_SNAKE_CASE   :      Optional[Any]    					=						{}
             if return_tensors is not None:
                   SCREAMING_SNAKE_CASE   :      Optional[int]    					=						return_tensors

             return preprocess_params, {}, postprocess_params







       def        UpperCamelCase_							(      self,							A,							**A  ):







             '''simple docstring'''







             SCREAMING_SNAKE_CASE   :      Tuple    					=						self.framework
             SCREAMING_SNAKE_CASE   :      Tuple    					=						self.tokenizer(A,							return_tensors=A,							**A  )
             return model_inputs







       def        UpperCamelCase_							(      self,							A  ):







             '''simple docstring'''







             SCREAMING_SNAKE_CASE   :      Any    					=						self.model(**A  )
             return model_outputs







       def        UpperCamelCase_							(      self,							A,							A=False  ):







             '''simple docstring'''







             if return_tensors:
                   return model_outputs[0]
             if self.framework == "pt":
                   return model_outputs[0].tolist()
             elif self.framework == "tf":
                   return model_outputs[0].numpy().tolist()







       def __call__(      self,							*A,							**A  ):







             '''simple docstring'''







             return super().__call__(*A,							**A  )


