from typing import Callable, Optional, Union

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


lowerCAmelCase__					=				logging.get_logger(__name__)

lowerCAmelCase__					=				{
    '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      :						Any    ,					lowercase__      :						Optional[float] = 0.1    ,					lowercase__      :						Optional[Union[str, Callable]] = "gelu"    ,					lowercase__      :						Optional[int] = 30_522    ,					lowercase__      :						Optional[int] = 1_024    ,					lowercase__      :						Optional[int] = 4_096    ,					lowercase__      :						Optional[int] = 12    ,					lowercase__      :						Optional[int] = 16    ,					lowercase__      :						Optional[int] = 4_096    ,					lowercase__      :						Optional[int] = 12    ,					lowercase__      :						Optional[int] = 16    ,					lowercase__      :						Optional[float] = 0.1    ,					lowercase__      :						Optional[float] = 0.1    ,					lowercase__      :						Optional[int] = 512    ,					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] = 128    ,					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]    ,					):







        '''simple docstring'''



        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      :						Any):







        '''simple docstring'''



        return self.num_encoder_layers + self.num_decoder_layers




 @num_hidden_layers.setter
 def 	__snake_case		(    self      :						List[Any]    ,					lowercase__      :						str):







        '''simple docstring'''



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

def    __lowerCamelCase	(		lowerCAmelCase__			):
       return " ".join([word[::-1] for word in input_str.split()]			)


if __name__ == "__main__":
    import doctest

    doctest.testmod()
