


"""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    					=					{
    'roberta-base': 'https://huggingface.co/roberta-base/resolve/main/config.json',
    'roberta-large': 'https://huggingface.co/roberta-large/resolve/main/config.json',
    'roberta-large-mnli': 'https://huggingface.co/roberta-large-mnli/resolve/main/config.json',
    'distilroberta-base': 'https://huggingface.co/distilroberta-base/resolve/main/config.json',
    'roberta-base-openai-detector': 'https://huggingface.co/roberta-base-openai-detector/resolve/main/config.json',
    'roberta-large-openai-detector': 'https://huggingface.co/roberta-large-openai-detector/resolve/main/config.json',
}

class 				_SCREAMING_SNAKE_CASE				(							__UpperCAmelCase  ):
   """simple docstring"""



   _a   :       Dict									=    '''roberta'''


   def __init__(						self ,     lowerCamelCase__=5_0265 ,     lowerCamelCase__=768 ,     lowerCamelCase__=12 ,     lowerCamelCase__=12 ,     lowerCamelCase__=3072 ,     lowerCamelCase__="gelu" ,     lowerCamelCase__=0.1 ,     lowerCamelCase__=0.1 ,     lowerCamelCase__=512 ,     lowerCamelCase__=2 ,     lowerCamelCase__=0.02 ,     lowerCamelCase__=1E-12 ,     lowerCamelCase__=1 ,     lowerCamelCase__=0 ,     lowerCamelCase__=2 ,     lowerCamelCase__="absolute" ,     lowerCamelCase__=True ,     lowerCamelCase__=None ,     **lowerCamelCase__ ,     )      ->							Optional[Any]:
    super().__init__(pad_token_id=lowerCamelCase__ ,     bos_token_id=lowerCamelCase__ ,     eos_token_id=lowerCamelCase__ ,     **lowerCamelCase__						)

    lowercase__       :       Optional[int]				=						vocab_size
    lowercase__       :       Dict				=						hidden_size
    lowercase__       :       List[Any]				=						num_hidden_layers
    lowercase__       :       Any				=						num_attention_heads
    lowercase__       :       List[Any]				=						hidden_act
    lowercase__       :       Tuple				=						intermediate_size
    lowercase__       :       str				=						hidden_dropout_prob
    lowercase__       :       str				=						attention_probs_dropout_prob
    lowercase__       :       int				=						max_position_embeddings
    lowercase__       :       List[Any]				=						type_vocab_size
    lowercase__       :       Union[str, Any]				=						initializer_range
    lowercase__       :       Tuple				=						layer_norm_eps
    lowercase__       :       List[str]				=						position_embedding_type
    lowercase__       :       List[str]				=						use_cache
    lowercase__       :       Tuple				=						classifier_dropout

class 				_SCREAMING_SNAKE_CASE				(							__UpperCAmelCase  ):
   """simple docstring"""



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



"""simple docstring"""


from decimal import Decimal, getcontext
from math import ceil, factorial


def    _lowerCamelCase   (     lowerCamelCase__	:							int  ):

 if not isinstance(lowerCamelCase__       ,		lowerCamelCase__  ):
  raise TypeError("""Undefined for non-integers"""  )
 elif precision < 1:
  raise ValueError("""Undefined for non-natural numbers"""  )

 lowercase__       :       List[str]				=						precision
 lowercase__       :       Optional[int]				=						ceil(precision / 14  )
 lowercase__       :       Union[str, Any]				=						42_68_80 * Decimal(1_00_05  ).sqrt()
 lowercase__       :       Optional[Any]				=						1
 lowercase__       :       Optional[Any]				=						13_59_14_09
 lowercase__       :       List[Any]				=						Decimal(lowerCamelCase__  )
 for k in range(1       ,		lowerCamelCase__  ):
  lowercase__       :       Optional[int]				=						factorial(6 * k  ) // (factorial(3 * k  ) * factorial(lowerCamelCase__  ) ** 3)
  linear_term += 5_45_14_01_34
  exponential_term *= -26_25_37_41_26_40_76_80_00
  partial_sum += Decimal(multinomial_term * linear_term  ) / exponential_term
 return str(constant_term / partial_sum  )[:-1]


if __name__ == "__main__":
   __snake_case    					=					50
   print(F"The first {n} digits of pi is: {pi(n)}")