


'''simple docstring'''



import warnings

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


__lowercase     :						Any	=     logging.get_logger(__name__)

__lowercase     :						Dict	=     {
    'RUCAIBox/mvp': 'https://huggingface.co/RUCAIBox/mvp/resolve/main/config.json',
}





class 							__UpperCamelCase    (		lowerCAmelCase_ ):
	A_           =   "mvp"
	A_           =   ["past_key_values"]
	A_           =   {"num_attention_heads": "encoder_attention_heads", "hidden_size": "d_model"}




	def __init__(       self						,    __a=5_0267						,    __a=1024						,    __a=12						,    __a=4096						,    __a=16						,    __a=12						,    __a=4096						,    __a=16						,    __a=0.0						,    __a=0.0						,    __a="gelu"						,    __a=1024						,    __a=0.1						,    __a=0.0						,    __a=0.0						,    __a=0.02						,    __a=0.0						,    __a=False						,    __a=True						,    __a=1						,    __a=0						,    __a=2						,    __a=True						,    __a=2						,    __a=2						,    __a=False						,    __a=100						,    __a=800						,    **__a						,    ):

						'''simple docstring'''





						__a      :	Any    =  vocab_size
						__a      :	Optional[Any]    =  max_position_embeddings
						__a      :	List[str]    =  d_model
						__a      :	Optional[int]    =  encoder_ffn_dim
						__a      :	str    =  encoder_layers
						__a      :	Any    =  encoder_attention_heads
						__a      :	Optional[int]    =  decoder_ffn_dim
						__a      :	Union[str, Any]    =  decoder_layers
						__a      :	Optional[Any]    =  decoder_attention_heads
						__a      :	Optional[Any]    =  dropout
						__a      :	int    =  attention_dropout
						__a      :	List[str]    =  activation_dropout
						__a      :	Union[str, Any]    =  activation_function
						__a      :	str    =  init_std
						__a      :	str    =  encoder_layerdrop
						__a      :	Optional[int]    =  decoder_layerdrop
						__a      :	Optional[Any]    =  classifier_dropout
						__a      :	Tuple    =  use_cache
						__a      :	List[str]    =  encoder_layers
						__a      :	Union[str, Any]    =  scale_embedding  # scale factor will be sqrt(d_model) if True
						__a      :	Union[str, Any]    =  use_prompt
						__a      :	List[str]    =  prompt_length
						__a      :	List[Any]    =  prompt_mid_dim

						super().__init__(
						    pad_token_id=__a						,    bos_token_id=__a						,    eos_token_id=__a						,    is_encoder_decoder=__a						,    decoder_start_token_id=__a						,    forced_eos_token_id=__a						,    **__a						,    )

						if self.forced_bos_token_id is None and kwargs.get('force_bos_token_to_be_generated'						,    __a							):
											__a      :	Any    =  self.bos_token_id
											warnings.warn(
											    f"""Please make sure the config includes `forced_bos_token_id={self.bos_token_id}` in future versions. """
											    'The config can simply be saved and uploaded again to be fixed.'							)







'''simple docstring'''



def   lowerCamelCase							(_SCREAMING_SNAKE_CASE				:       int       ):
					return number & 1 == 0


if __name__ == "__main__":
	import doctest

	doctest.testmod()



