



"""simple docstring"""


from typing import Callable, Optional, Union

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


snake_case_         = logging.get_logger(__name__)

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







class    A_    (  SCREAMING_SNAKE_CASE_       ):



						"""simple docstring"""
						__UpperCamelCase	       =							"""prophetnet"""
						__UpperCamelCase	       =							["""past_key_values"""]
						__UpperCamelCase	       =							{
						    """num_attention_heads""": """num_encoder_attention_heads""",
						}






						def __init__(      self				:int     ,						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_				:Optional[Any]     ,						)       ->    List[Any]:
												UpperCAmelCase    =				vocab_size
												UpperCAmelCase    =				hidden_size
												UpperCAmelCase    =				encoder_ffn_dim
												UpperCAmelCase    =				num_encoder_layers
												UpperCAmelCase    =				num_encoder_attention_heads
												UpperCAmelCase    =				decoder_ffn_dim
												UpperCAmelCase    =				num_decoder_layers
												UpperCAmelCase    =				num_decoder_attention_heads
												UpperCAmelCase    =				max_position_embeddings
												UpperCAmelCase    =				init_std  # Normal(0, this parameter)
												UpperCAmelCase    =				activation_function

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

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

												UpperCAmelCase    =				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				:Any      )       ->    int:
												return self.num_encoder_layers + self.num_decoder_layers






						@num_hidden_layers.setter
						def 			UpperCAmelCase__  (      self				:Union[str, Any]     ,						lowercase_				:Tuple      )       ->    Dict:
												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 				_lowerCAmelCase   (     lowercase_	,			lowercase_		):
						UpperCAmelCase    =				1.0
						for i in range(1	,			r + 1		):
												ret *= (n + 1 - i) / i
						return round(lowercase_		)

def 				_lowerCAmelCase   (     lowercase_		):
						return choose(8 + n	,			lowercase_		) + choose(9 + n	,			lowercase_		) - 10

def 				_lowerCAmelCase   (     lowercase_		):
						return sum(non_bouncy_exact(lowercase_		) for i in range(1	,			n + 1		)		)

def 				_lowerCAmelCase   (     lowercase_ = 100		):
						return non_bouncy_upto(lowercase_		)


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





