from typing import Callable, Optional, Union

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


UpperCamelCase													=		logging.get_logger(__name__)

UpperCamelCase													=		{
    '''microsoft/prophetnet-large-uncased''': (
        '''https://huggingface.co/microsoft/prophetnet-large-uncased/resolve/main/config.json'''
    ),
}



class 						snake_case_ (	__A ):
   __A			:	int        =       "prophetnet"
   __A			:	Union[str, Any]        =       ["past_key_values"]
   __A			:	Optional[Any]        =       {
       "num_attention_heads": "num_encoder_attention_heads",
   }






   def __init__(   self       :  List[str]			,		lowercase_       :  Optional[float] = 0.1			,		lowercase_       :  Optional[Union[str, Callable]] = "gelu"			,		lowercase_       :  Optional[int] = 3_05_22			,		lowercase_       :  Optional[int] = 10_24			,		lowercase_       :  Optional[int] = 40_96			,		lowercase_       :  Optional[int] = 12			,		lowercase_       :  Optional[int] = 16			,		lowercase_       :  Optional[int] = 40_96			,		lowercase_       :  Optional[int] = 12			,		lowercase_       :  Optional[int] = 16			,		lowercase_       :  Optional[float] = 0.1			,		lowercase_       :  Optional[float] = 0.1			,		lowercase_       :  Optional[int] = 5_12			,		lowercase_       :  Optional[float] = 0.02			,		lowercase_       :  Optional[bool] = True			,		lowercase_       :  Optional[bool] = True			,		lowercase_       :  Optional[int] = 0			,		lowercase_       :  Optional[int] = 2			,		lowercase_       :  Optional[int] = 32			,		lowercase_       :  Optional[int] = 1_28			,		lowercase_       :  Optional[bool] = False			,		lowercase_       :  Optional[float] = 0.0			,		lowercase_       :  Optional[bool] = True			,		lowercase_       :  Optional[int] = 0			,		lowercase_       :  Optional[int] = 1			,		lowercase_       :  Optional[int] = 2			,		**lowercase_       :  List[Any]			,		)      ->		Any:
       lowercase__				:     Optional[Any]					      =       vocab_size
       lowercase__				:     Optional[Any]					      =       hidden_size
       lowercase__				:     int					      =       encoder_ffn_dim
       lowercase__				:     Any					      =       num_encoder_layers
       lowercase__				:     Dict					      =       num_encoder_attention_heads
       lowercase__				:     List[str]					      =       decoder_ffn_dim
       lowercase__				:     List[Any]					      =       num_decoder_layers
       lowercase__				:     Dict					      =       num_decoder_attention_heads
       lowercase__				:     Dict					      =       max_position_embeddings
       lowercase__				:     Optional[int]					      =       init_std  # Normal(0, this parameter)
       lowercase__				:     Union[str, Any]					      =       activation_function

       # parameters for prophetnet
       lowercase__				:     Optional[int]					      =       ngram
       lowercase__				:     List[str]					      =       num_buckets
       lowercase__				:     Optional[int]					      =       relative_max_distance
       lowercase__				:     Optional[int]					      =       disable_ngram_loss
       lowercase__				:     Any					      =       eps

       # 3 Types of Dropout
       lowercase__				:     Union[str, Any]					      =       attention_dropout
       lowercase__				:     Optional[Any]					      =       activation_dropout
       lowercase__				:     Tuple					      =       dropout

       lowercase__				:     List[Any]					      =       use_cache

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






   @property
   def    __UpperCamelCase  (   self       :  int						)      ->		int:
       return self.num_encoder_layers + self.num_decoder_layers







   @num_hidden_layers.setter
   def    __UpperCamelCase  (   self       :  Optional[Any]			,		lowercase_       :  Union[str, Any]						)      ->		Any:
       raise NotImplementedError(
           "This model does not support the setting of `num_hidden_layers`. Please set `num_encoder_layers` and"
           " `num_decoder_layers`."						)




def     lowercase_       (    _lowerCamelCase							: str	,			_lowerCamelCase							: Optional[int]):
    if len(str(_lowerCamelCase)) == 1 or len(str(_lowerCamelCase)) == 1:
        return a * b

    lowercase__				:     Tuple					      =       max(len(str(_lowerCamelCase))	,			len(str(_lowerCamelCase)))
    lowercase__				:     Union[str, Any]					      =       ma // 2

    lowercase__      ,     lowercase__				:     Union[str, Any]					      =       divmod(_lowerCamelCase	,			10**ma)
    lowercase__      ,     lowercase__				:     Tuple					      =       divmod(_lowerCamelCase	,			10**ma)

    lowercase__				:     int					      =       karatsuba(_lowerCamelCase	,			_lowerCamelCase)
    lowercase__				:     Dict					      =       karatsuba((aa + aa)	,			(ba + ba))
    lowercase__				:     Optional[int]					      =       karatsuba(_lowerCamelCase	,			_lowerCamelCase)

    return (z * 10 ** (2 * ma)) + ((y - z - x) * 10 ** (ma)) + (x)

def     lowercase_       (    ):
    print(karatsuba(1_5463	,			2_3489))


if __name__ == "__main__":
      main()



