'''simple docstring'''

from typing import Dict

from .base import GenericTensor, Pipeline







class 				_lowercase     (				lowerCAmelCase__			):


 '''simple docstring'''






 def a					(      self   :	Union[str, Any]      ,       SCREAMING_SNAKE_CASE__   :	str=None      ,       SCREAMING_SNAKE_CASE__   :	Optional[int]=None      ,       SCREAMING_SNAKE_CASE__   :	int=None      ,       **SCREAMING_SNAKE_CASE__   :	List[Any]							)  ->    Optional[int]:
  if tokenize_kwargs is None:
   __lowerCAmelCase											=						{}

  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)"""							)
   __lowerCAmelCase											=						truncation

  __lowerCAmelCase											=						tokenize_kwargs

  __lowerCAmelCase											=						{}
  if return_tensors is not None:
   __lowerCAmelCase											=						return_tensors

  return preprocess_params, {}, postprocess_params
 def a					(      self   :	int      ,       SCREAMING_SNAKE_CASE__   :	Union[str, Any]      ,       **SCREAMING_SNAKE_CASE__   :	Dict							)  ->    Dict[str, GenericTensor]:
  __lowerCAmelCase											=						self.framework
  __lowerCAmelCase											=						self.tokenizer(UpperCamelCase__      ,       return_tensors=UpperCamelCase__      ,       **UpperCamelCase__							)
  return model_inputs
 def a					(      self   :	Optional[int]      ,       SCREAMING_SNAKE_CASE__   :	str							)  ->    Optional[Any]:
  __lowerCAmelCase											=						self.model(**UpperCamelCase__							)
  return model_outputs
 def a					(      self   :	Optional[int]      ,       SCREAMING_SNAKE_CASE__   :	Optional[Any]      ,       SCREAMING_SNAKE_CASE__   :	Optional[Any]=False							)  ->    str:
  # [0] is the first available tensor, logits or last_hidden_state.
  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   :	Optional[Any]      ,       *SCREAMING_SNAKE_CASE__   :	List[Any]      ,       **SCREAMING_SNAKE_CASE__   :	Tuple							)  ->    Optional[Any]:
  return super().__call__(*UpperCamelCase__      ,       **UpperCamelCase__							)












def      A      (      _SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE    )	-> int:
       return x if y == 0 else greatest_common_divisor(_SCREAMING_SNAKE_CASE ,x % y    )

def      A      (      _SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE    )	-> int:
       return (x * y) // greatest_common_divisor(_SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE    )

def      A      (      _SCREAMING_SNAKE_CASE = 20    )	-> int:
       lowerCamelCase   :      List[Any]			 =					1
       for i in range(1 ,n + 1    ):
              lowerCamelCase   :      List[str]			 =					lcm(_SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE    )
       return g


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






