





"""simple docstring"""





from typing import Callable, Optional, Union

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


SCREAMING_SNAKE_CASE__ =       logging.get_logger(__name__)

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

class 		lowercase ( _UpperCAmelCase ):
      _SCREAMING_SNAKE_CASE         =				'prophetnet'
      _SCREAMING_SNAKE_CASE         =				['past_key_values']
      _SCREAMING_SNAKE_CASE         =				{
          'num_attention_heads': 'num_encoder_attention_heads',
      }





      def __init__(	self				,						lowercase = 0.1				,						lowercase = "gelu"				,						lowercase = 30_522				,						lowercase = 1_024				,						lowercase = 4_096				,						lowercase = 12				,						lowercase = 16				,						lowercase = 4_096				,						lowercase = 12				,						lowercase = 16				,						lowercase = 0.1				,						lowercase = 0.1				,						lowercase = 512				,						lowercase = 0.02				,						lowercase = True				,						lowercase = True				,						lowercase = 0				,						lowercase = 2				,						lowercase = 32				,						lowercase = 128				,						lowercase = False				,						lowercase = 0.0				,						lowercase = True				,						lowercase = 0				,						lowercase = 1				,						lowercase = 2				,						**lowercase				,						)		->					Optional[int]:
            lowerCAmelCase  						=	vocab_size
            lowerCAmelCase  						=	hidden_size
            lowerCAmelCase  						=	encoder_ffn_dim
            lowerCAmelCase  						=	num_encoder_layers
            lowerCAmelCase  						=	num_encoder_attention_heads
            lowerCAmelCase  						=	decoder_ffn_dim
            lowerCAmelCase  						=	num_decoder_layers
            lowerCAmelCase  						=	num_decoder_attention_heads
            lowerCAmelCase  						=	max_position_embeddings
            lowerCAmelCase  						=	init_std  # Normal(0, this parameter)
            lowerCAmelCase  						=	activation_function

            # parameters for prophetnet
            lowerCAmelCase  						=	ngram
            lowerCAmelCase  						=	num_buckets
            lowerCAmelCase  						=	relative_max_distance
            lowerCAmelCase  						=	disable_ngram_loss
            lowerCAmelCase  						=	eps

            # 3 Types of Dropout
            lowerCAmelCase  						=	attention_dropout
            lowerCAmelCase  						=	activation_dropout
            lowerCAmelCase  						=	dropout

            lowerCAmelCase  						=	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    _snake_case      (	self			)		->					int:
            return self.num_encoder_layers + self.num_decoder_layers





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













"""simple docstring"""





def       UpperCAmelCase__							(  SCREAMING_SNAKE_CASE					:						int							,						SCREAMING_SNAKE_CASE					:						int      ):







      '''simple docstring'''




      lowerCAmelCase  						=	1.0
      for i in range(1							,						r + 1      ):
            ret *= (n + 1 - i) / i
      return round(SCREAMING_SNAKE_CASE      )


def       UpperCAmelCase__							(  SCREAMING_SNAKE_CASE					:						int      ):







      '''simple docstring'''




      return choose(8 + n							,						SCREAMING_SNAKE_CASE      ) + choose(9 + n							,						SCREAMING_SNAKE_CASE      ) - 10


def       UpperCAmelCase__							(  SCREAMING_SNAKE_CASE					:						int      ):







      '''simple docstring'''




      return sum(non_bouncy_exact(SCREAMING_SNAKE_CASE      ) for i in range(1							,						n + 1      )      )


def       UpperCAmelCase__							(  SCREAMING_SNAKE_CASE					:						int = 1_00      ):







      '''simple docstring'''




      return non_bouncy_upto(SCREAMING_SNAKE_CASE      )


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






