






"""simple docstring"""






from collections import OrderedDict
from typing import Mapping

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


UpperCAmelCase_   : Any   			= logging.get_logger(__name__)

UpperCAmelCase_   : str   			= {
    """andreasmadsen/efficient_mlm_m0.40""": (
        """https://huggingface.co/andreasmadsen/efficient_mlm_m0.40/resolve/main/config.json"""
    ),
}




class 							lowerCAmelCase__				(			UpperCAmelCase__ ):






      '''simple docstring'''

      __UpperCamelCase	 =  "roberta-prelayernorm"
      def __init__(						self     :  Optional[Any]						,	lowercase_     :  List[str]=50265						,	lowercase_     :  Union[str, Any]=768						,	lowercase_     :  List[str]=12						,	lowercase_     :  List[Any]=12						,	lowercase_     :  List[str]=3072						,	lowercase_     :  List[Any]="gelu"						,	lowercase_     :  Any=0.1						,	lowercase_     :  Tuple=0.1						,	lowercase_     :  Optional[int]=512						,	lowercase_     :  List[str]=2						,	lowercase_     :  Optional[int]=0.02						,	lowercase_     :  Tuple=1e-12						,	lowercase_     :  List[str]=1						,	lowercase_     :  Optional[int]=0						,	lowercase_     :  List[str]=2						,	lowercase_     :  Union[str, Any]="absolute"						,	lowercase_     :  int=True						,	lowercase_     :  int=None						,	**lowercase_     :  Tuple						,	):




          '''simple docstring'''


          super().__init__(pad_token_id=lowercase_						,	bos_token_id=lowercase_						,	eos_token_id=lowercase_						,	**lowercase_)

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




class 							lowerCAmelCase__				(			UpperCAmelCase__ ):






      '''simple docstring'''

      @property
      def _SCREAMING_SNAKE_CASE (						self     :  Optional[int]):




          '''simple docstring'''


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










"""simple docstring"""






from math import factorial



def 					_A			(__a = 20							) ->       int:
    """simple docstring"""






    SCREAMING_SNAKE_CASE_      :  Dict    						=		2 * n  # middle entry of odd rows starting at row 3 is the solution for n = 1,
    # 2, 3,...
    SCREAMING_SNAKE_CASE_      :  List[str]    						=		n // 2

    return int(factorial(__a							) / (factorial(__a							) * factorial(n - k							))							)


if __name__ == "__main__":
  import sys

  if len(sys.argv) == 1:
    print(solution(20))
  else:
    try:
      UpperCAmelCase_   : List[str]   			= int(sys.argv[1])
      print(solution(n))
    except ValueError:
      print("""Invalid entry - please enter a number.""")


