






from typing import Callable, Optional, Union

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


a 			=							logging.get_logger(__name__)

a 			=							{
    """microsoft/prophetnet-large-uncased""": (
        """https://huggingface.co/microsoft/prophetnet-large-uncased/resolve/main/config.json"""
    ),
}
class 							__snake_case(       __UpperCAmelCase   ):
 lowercase			:							Tuple		   =		'''prophetnet'''
 lowercase			:							Optional[int]		   =		['''past_key_values''']
 lowercase			:							int		   =		{
     '''num_attention_heads''': '''num_encoder_attention_heads''',
 }



 def __init__(						self : Tuple			,		UpperCAmelCase__ : Union[str, Any] = 0.1			,		UpperCAmelCase__ : Dict = "gelu"			,		UpperCAmelCase__ : Tuple = 30_522			,		UpperCAmelCase__ : List[Any] = 1_024			,		UpperCAmelCase__ : List[Any] = 4_096			,		UpperCAmelCase__ : List[str] = 12			,		UpperCAmelCase__ : Any = 16			,		UpperCAmelCase__ : Dict = 4_096			,		UpperCAmelCase__ : Tuple = 12			,		UpperCAmelCase__ : Union[str, Any] = 16			,		UpperCAmelCase__ : int = 0.1			,		UpperCAmelCase__ : List[Any] = 0.1			,		UpperCAmelCase__ : Any = 512			,		UpperCAmelCase__ : Any = 0.02			,		UpperCAmelCase__ : List[str] = True			,		UpperCAmelCase__ : int = True			,		UpperCAmelCase__ : int = 0			,		UpperCAmelCase__ : Union[str, Any] = 2			,		UpperCAmelCase__ : Tuple = 32			,		UpperCAmelCase__ : int = 128			,		UpperCAmelCase__ : Any = False			,		UpperCAmelCase__ : List[str] = 0.0			,		UpperCAmelCase__ : List[Any] = True			,		UpperCAmelCase__ : Optional[Any] = 0			,		UpperCAmelCase__ : Tuple = 1			,		UpperCAmelCase__ : int = 2			,		**UpperCAmelCase__ : Dict			,		):

    """simple docstring"""






    lowercase__    :						str       =			vocab_size
    lowercase__    :						Optional[Any]       =			hidden_size
    lowercase__    :						int       =			encoder_ffn_dim
    lowercase__    :						Any       =			num_encoder_layers
    lowercase__    :						Dict       =			num_encoder_attention_heads
    lowercase__    :						Dict       =			decoder_ffn_dim
    lowercase__    :						List[str]       =			num_decoder_layers
    lowercase__    :						Optional[int]       =			num_decoder_attention_heads
    lowercase__    :						str       =			max_position_embeddings
    lowercase__    :						Union[str, Any]       =			init_std  # Normal(0, this parameter)
    lowercase__    :						int       =			activation_function

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

    # 3 Types of Dropout
    lowercase__    :						Tuple       =			attention_dropout
    lowercase__    :						Any       =			activation_dropout
    lowercase__    :						Dict       =			dropout

    lowercase__    :						Optional[Any]       =			use_cache

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



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

    """simple docstring"""






    return self.num_encoder_layers + self.num_decoder_layers







 @num_hidden_layers.setter
 def     UpperCAmelCase     (						self : List[str]			,		UpperCAmelCase__ : List[Any]						):

    """simple docstring"""






    raise NotImplementedError(
        """This model does not support the setting of `num_hidden_layers`. Please set `num_encoder_layers` and"""
        """ `num_decoder_layers`."""						)









import math
from decimal import Decimal, getcontext


def      SCREAMING_SNAKE_CASE      (   lowerCAmelCase = 4_000_000       ):

       try:
              _UpperCamelCase														=    int(lowerCAmelCase       )
       except (TypeError, ValueError):
              raise TypeError('''Parameter n must be int or castable to int.'''       )
       if n <= 0:
              raise ValueError('''Parameter n must be greater than or equal to one.'''       )
       _UpperCamelCase														=    100
       _UpperCamelCase														=    (Decimal(5       ) ** Decimal(0.5       ) + 1) / Decimal(2       )

       _UpperCamelCase														=    (math.floor(math.log(n * (phi + 2)     ,							lowerCAmelCase       ) - 1       ) // 3) * 3 + 2
       _UpperCamelCase														=    Decimal(round(phi ** Decimal(index + 1       )       )       ) / (phi + 2)
       _UpperCamelCase														=    num // 2
       return int(lowerCAmelCase       )


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






