'''simple docstring'''

from typing import Callable, Optional, Union

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


_lowerCamelCase :				List[str]														= logging.get_logger(__name__)

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




class    lowerCamelCase__  (   __snake_case     ):
   __UpperCAmelCase           =						"""prophetnet"""
   __UpperCAmelCase           =						["""past_key_values"""]
   __UpperCAmelCase           =						{
       """num_attention_heads""": """num_encoder_attention_heads""",
   }



   def __init__(    self					,      lowerCAmelCase__ = 0.1					,      lowerCAmelCase__ = "gelu"					,      lowerCAmelCase__ = 30_522					,      lowerCAmelCase__ = 1_024					,      lowerCAmelCase__ = 4_096					,      lowerCAmelCase__ = 12					,      lowerCAmelCase__ = 16					,      lowerCAmelCase__ = 4_096					,      lowerCAmelCase__ = 12					,      lowerCAmelCase__ = 16					,      lowerCAmelCase__ = 0.1					,      lowerCAmelCase__ = 0.1					,      lowerCAmelCase__ = 512					,      lowerCAmelCase__ = 0.02					,      lowerCAmelCase__ = True					,      lowerCAmelCase__ = True					,      lowerCAmelCase__ = 0					,      lowerCAmelCase__ = 2					,      lowerCAmelCase__ = 32					,      lowerCAmelCase__ = 128					,      lowerCAmelCase__ = False					,      lowerCAmelCase__ = 0.0					,      lowerCAmelCase__ = True					,      lowerCAmelCase__ = 0					,      lowerCAmelCase__ = 1					,      lowerCAmelCase__ = 2					,      **lowerCAmelCase__					,      )				->     List[str]:
        """simple docstring"""





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

        # parameters for prophetnet
        _UpperCamelCase  :Union[str, Any]       =ngram
        _UpperCamelCase  :int       =num_buckets
        _UpperCamelCase  :Union[str, Any]       =relative_max_distance
        _UpperCamelCase  :Union[str, Any]       =disable_ngram_loss
        _UpperCamelCase  :Optional[int]       =eps

        # 3 Types of Dropout
        _UpperCamelCase  :Union[str, Any]       =attention_dropout
        _UpperCamelCase  :List[Any]       =activation_dropout
        _UpperCamelCase  :Any       =dropout

        _UpperCamelCase  :Any       =use_cache

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



   @property
   def  _UpperCamelCase		(    self     )				->     int:
        """simple docstring"""





        return self.num_encoder_layers + self.num_decoder_layers




   @num_hidden_layers.setter
   def  _UpperCamelCase		(    self					,      lowerCAmelCase__     )				->     Optional[int]:
        """simple docstring"""





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







from typing import Callable






def 				A	(			a_   )	->		List[str]:

					def wrapper(a_   ):
										__UpperCamelCase :   Dict									=function_with_docstring.__doc__
										return target_function

					return wrapper

