
from typing import Dict

from .base import GenericTensor, Pipeline




class     _SCREAMING_SNAKE_CASE     (      snake_case_						):



	def     SCREAMING_SNAKE_CASE_(    self						,  lowercase=None						,  lowercase=None						,  lowercase=None						,  **lowercase )				->       str:
					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     SCREAMING_SNAKE_CASE_(    self						,  lowercase						,  **lowercase )				->       Dict[str, GenericTensor]:
					lowerCamelCase_						=			self.framework
					lowerCamelCase_						=			self.tokenizer(lowercase						,  return_tensors=lowercase						,  **lowercase )
					return model_inputs



	def     SCREAMING_SNAKE_CASE_(    self						,  lowercase )				->       Optional[int]:
					lowerCamelCase_						=			self.model(**lowercase )
					return model_outputs



	def     SCREAMING_SNAKE_CASE_(    self						,  lowercase						,  lowercase=False )				->       Optional[Any]:
					# [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						,  *lowercase						,  **lowercase )				->       str:
					return super().__call__(*lowercase						,  **lowercase )



'''simple docstring'''

def 			__UpperCamelCase       (   UpperCAmelCase = 1		,     UpperCAmelCase = 1000     ):
 lowercase__				:    Dict  =					1
 lowercase__				:    Dict  =					0

 for divide_by_number in range(UpperCAmelCase		,     digit + 1     ):
  lowercase__				:    list[int]  =					[]
  lowercase__				:    Union[str, Any]  =					numerator
  for _ in range(1		,     digit + 1     ):
   if now_divide in has_been_divided:
    if longest_list_length < len(UpperCAmelCase     ):
     lowercase__				:    Dict  =					len(UpperCAmelCase     )
     lowercase__				:    Optional[Any]  =					divide_by_number
   else:
    has_been_divided.append(UpperCAmelCase     )
    lowercase__				:    int  =					now_divide * 10 % divide_by_number

 return the_digit


# Tests
if __name__ == "__main__":
  import doctest

  doctest.testmod()

