




from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowerCamelCase       :	str									=     logging.get_logger(__name__)

lowerCamelCase       :	List[Any]									=     {
    "distilbert-base-uncased": "https://huggingface.co/distilbert-base-uncased/resolve/main/config.json",
    "distilbert-base-uncased-distilled-squad": (
        "https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/config.json"
    ),
    "distilbert-base-cased": "https://huggingface.co/distilbert-base-cased/resolve/main/config.json",
    "distilbert-base-cased-distilled-squad": (
        "https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/config.json"
    ),
    "distilbert-base-german-cased": "https://huggingface.co/distilbert-base-german-cased/resolve/main/config.json",
    "distilbert-base-multilingual-cased": (
        "https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/config.json"
    ),
    "distilbert-base-uncased-finetuned-sst-2-english": (
        "https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english/resolve/main/config.json"
    ),
}







class 						A(		UpperCamelCase     ):



 '''simple docstring'''


 UpperCamelCase		     =		'''distilbert'''
 UpperCamelCase		     =		{
     '''hidden_size''': '''dim''',
     '''num_attention_heads''': '''n_heads''',
     '''num_hidden_layers''': '''n_layers''',
 }

 def __init__(       self      :						Optional[Any]		,							A_      :						str=30522		,							A_      :						Any=512		,							A_      :						Any=False		,							A_      :						Union[str, Any]=6		,							A_      :						List[str]=12		,							A_      :						Optional[Any]=768		,							A_      :						str=4 * 768		,							A_      :						Optional[int]=0.1		,							A_      :						Tuple=0.1		,							A_      :						int="gelu"		,							A_      :						Optional[int]=0.02		,							A_      :						Tuple=0.1		,							A_      :						List[str]=0.2		,							A_      :						Optional[Any]=0		,							**A_      :						Optional[Any]		,							)     ->			Any:

       """simple docstring"""






       lowerCamelCase_	  =					vocab_size
       lowerCamelCase_	  =					max_position_embeddings
       lowerCamelCase_	  =					sinusoidal_pos_embds
       lowerCamelCase_	  =					n_layers
       lowerCamelCase_	  =					n_heads
       lowerCamelCase_	  =					dim
       lowerCamelCase_	  =					hidden_dim
       lowerCamelCase_	  =					dropout
       lowerCamelCase_	  =					attention_dropout
       lowerCamelCase_	  =					activation
       lowerCamelCase_	  =					initializer_range
       lowerCamelCase_	  =					qa_dropout
       lowerCamelCase_	  =					seq_classif_dropout
       super().__init__(**A_		,							pad_token_id=A_						)







class 						A(		UpperCamelCase     ):



 '''simple docstring'''


 @property
 def        a__				(       self      :						Optional[int]						)     ->			Mapping[str, Mapping[int, str]]:

       """simple docstring"""






       if self.task == "multiple-choice":
             lowerCamelCase_	  =					{0: 'batch', 1: 'choice', 2: 'sequence'}
       else:
             lowerCamelCase_	  =					{0: 'batch', 1: 'sequence'}
       return OrderedDict(
           [
               ('input_ids', dynamic_axis),
               ('attention_mask', dynamic_axis),
           ]						)









from __future__ import annotations

from fractions import Fraction

def     _SCREAMING_SNAKE_CASE    (							lowercase			: int			,							lowercase			: int  ):


      '''simple docstring'''



      return (
          num != den and num % 10 == den // 10 and (num // 10) / (den % 10) == num / den
      )

def     _SCREAMING_SNAKE_CASE    (							lowercase			: int  ):


      '''simple docstring'''



      lowerCamelCase_	  =					[]
      lowerCamelCase_	  =					11
      lowerCamelCase_	  =					int('1' + '0' * digit_len  )
      for num in range(lowercase			,							lowercase  ):
            while den <= 99:
                  if (num != den) and (num % 10 == den // 10) and (den % 10 != 0):
                        if is_digit_cancelling(lowercase			,							lowercase  ):
                              solutions.append(f"""{num}/{den}"""  )
                  den += 1
            num += 1
            lowerCamelCase_	  =					10
      return solutions

def     _SCREAMING_SNAKE_CASE    (							lowercase			: int = 2  ):


      '''simple docstring'''



      lowerCamelCase_	  =					1.0
      for fraction in fraction_list(lowercase  ):
            lowerCamelCase_	  =					Fraction(lowercase  )
            result *= frac.denominator / frac.numerator
      return int(lowercase  )


if __name__ == "__main__":
 print(solution())



