


"""simple docstring"""






from collections import OrderedDict
from typing import Mapping

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


__snake_case		=       logging.get_logger(__name__)

__snake_case		=       {
    '''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     __lowerCamelCase  (					a__				):

     '''simple docstring'''
     A_       :	Optional[Any]    =		'distilbert'
     A_       :	Dict    =		{
         'hidden_size': 'dim',
         'num_attention_heads': 'n_heads',
         'num_hidden_layers': 'n_layers',
     }


     def __init__(      self    ,				__UpperCAmelCase=30522    ,				__UpperCAmelCase=512    ,				__UpperCAmelCase=False    ,				__UpperCAmelCase=6    ,				__UpperCAmelCase=12    ,				__UpperCAmelCase=768    ,				__UpperCAmelCase=4 * 768    ,				__UpperCAmelCase=0.1    ,				__UpperCAmelCase=0.1    ,				__UpperCAmelCase="gelu"    ,				__UpperCAmelCase=0.02    ,				__UpperCAmelCase=0.1    ,				__UpperCAmelCase=0.2    ,				__UpperCAmelCase=0    ,				**__UpperCAmelCase    ,				)       ->							Optional[Any]:
          _a    	=				vocab_size
          _a    	=				max_position_embeddings
          _a    	=				sinusoidal_pos_embds
          _a    	=				n_layers
          _a    	=				n_heads
          _a    	=				dim
          _a    	=				hidden_dim
          _a    	=				dropout
          _a    	=				attention_dropout
          _a    	=				activation
          _a    	=				initializer_range
          _a    	=				qa_dropout
          _a    	=				seq_classif_dropout
          super().__init__(**__UpperCAmelCase    ,				pad_token_id=__UpperCAmelCase							)







class     __lowerCamelCase  (					a__				):

     '''simple docstring'''


     @property
     def 							_UpperCAmelCase      (      self							)       ->							Mapping[str, Mapping[int, str]]:
          if self.task == "multiple-choice":
               _a    	=				{0: '''batch''', 1: '''choice''', 2: '''sequence'''}
          else:
               _a    	=				{0: '''batch''', 1: '''sequence'''}
          return OrderedDict(
              [
                  ('''input_ids''', dynamic_axis),
                  ('''attention_mask''', dynamic_axis),
              ]							)



"""simple docstring"""






def       A_   (   _lowerCAmelCase     :					int = 10**12       ):






     """simple docstring"""

     _a    	=				1
     _a    	=				0

     _a    	=				1
     _a    	=				1

     while numerator <= 2 * min_total - 1:
          prev_numerator += 2 * numerator
          numerator += 2 * prev_numerator

          prev_denominator += 2 * denominator
          denominator += 2 * prev_denominator

     return (denominator + 1) // 2


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