


'''simple docstring'''






def 						_A					(lowerCAmelCase__	:List[str]					,    lowerCAmelCase__	:int					,    lowerCAmelCase__	:Union[str, Any]		) ->	List[Any]:




     '''simple docstring'''



     assert b != 0, "This cannot accept modulo that is == 0"
     if n == 0:
          return 1

     if n % 2 == 1:
          return (bin_exp_mod(_UpperCAmelCase					,    n - 1					,    _UpperCAmelCase		) * a) % b

     _a         =				bin_exp_mod(_UpperCAmelCase					,    n / 2					,    _UpperCAmelCase		)
     return (r * r) % b


if __name__ == "__main__":
 try:
  a_       :     str 							=     int(input("Enter Base : ").strip())
  a_       :     Union[str, Any] 							=     int(input("Enter Power : ").strip())
  a_       :     Optional[Any] 							=     int(input("Enter Modulo : ").strip())
 except ValueError:
  print("Invalid literal for integer")

 print(bin_exp_mod(BASE, POWER, MODULO))








"""simple docstring"""


from ...configuration_utils import PretrainedConfig
from ...utils import logging


a__       :  List[Any]       		=					logging.get_logger(__name__)

a__       :  int       		=					{
    """microsoft/mpnet-base""": """https://huggingface.co/microsoft/mpnet-base/resolve/main/config.json""",
}



class   lowercase_					(  __lowerCAmelCase				):
       snake_case__					:				int									=  """mpnet"""

       def __init__(      self ,       __SCREAMING_SNAKE_CASE=3_0527 ,       __SCREAMING_SNAKE_CASE=768 ,       __SCREAMING_SNAKE_CASE=12 ,       __SCREAMING_SNAKE_CASE=12 ,       __SCREAMING_SNAKE_CASE=3072 ,       __SCREAMING_SNAKE_CASE="gelu" ,       __SCREAMING_SNAKE_CASE=0.1 ,       __SCREAMING_SNAKE_CASE=0.1 ,       __SCREAMING_SNAKE_CASE=512 ,       __SCREAMING_SNAKE_CASE=0.02 ,       __SCREAMING_SNAKE_CASE=1e-12 ,       __SCREAMING_SNAKE_CASE=32 ,       __SCREAMING_SNAKE_CASE=1 ,       __SCREAMING_SNAKE_CASE=0 ,       __SCREAMING_SNAKE_CASE=2 ,       **__SCREAMING_SNAKE_CASE ,       ):






        '''simple docstring'''

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

        snake_case__     				=					vocab_size
        snake_case__     				=					hidden_size
        snake_case__     				=					num_hidden_layers
        snake_case__     				=					num_attention_heads
        snake_case__     				=					hidden_act
        snake_case__     				=					intermediate_size
        snake_case__     				=					hidden_dropout_prob
        snake_case__     				=					attention_probs_dropout_prob
        snake_case__     				=					max_position_embeddings
        snake_case__     				=					initializer_range
        snake_case__     				=					layer_norm_eps
        snake_case__     				=					relative_attention_num_buckets

