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


_lowerCamelCase					   =logging.get_logger(__name__)

_lowerCamelCase					   ={
    """microsoft/biogpt""": """https://huggingface.co/microsoft/biogpt/resolve/main/config.json""",
    # See all BioGPT models at https://huggingface.co/models?filter=biogpt
}





class 							A__		(	__SCREAMING_SNAKE_CASE):
      _UpperCAmelCase				:    Union[str, Any]           =			"""biogpt"""
      def __init__(      self    ,  __magic_name__=4_2_3_8_4    ,  __magic_name__=1_0_2_4    ,  __magic_name__=2_4    ,  __magic_name__=1_6    ,  __magic_name__=4_0_9_6    ,  __magic_name__="gelu"    ,  __magic_name__=0.1    ,  __magic_name__=0.1    ,  __magic_name__=1_0_2_4    ,  __magic_name__=0.02    ,  __magic_name__=1e-12    ,  __magic_name__=True    ,  __magic_name__=True    ,  __magic_name__=0.0    ,  __magic_name__=0.0    ,  __magic_name__=1    ,  __magic_name__=0    ,  __magic_name__=2    ,  **__magic_name__    ,  ):
       lowerCamelCase		:	Optional[Any]							=      vocab_size
       lowerCamelCase		:	int							=      max_position_embeddings
       lowerCamelCase		:	Union[str, Any]							=      hidden_size
       lowerCamelCase		:	Dict							=      num_hidden_layers
       lowerCamelCase		:	Dict							=      num_attention_heads
       lowerCamelCase		:	List[str]							=      intermediate_size
       lowerCamelCase		:	Union[str, Any]							=      hidden_act
       lowerCamelCase		:	str							=      hidden_dropout_prob
       lowerCamelCase		:	List[Any]							=      attention_probs_dropout_prob
       lowerCamelCase		:	Tuple							=      initializer_range
       lowerCamelCase		:	Any							=      layer_norm_eps
       lowerCamelCase		:	Optional[int]							=      scale_embedding
       lowerCamelCase		:	Optional[int]							=      use_cache
       lowerCamelCase		:	List[str]							=      layerdrop
       lowerCamelCase		:	int							=      activation_dropout
       super().__init__(pad_token_id=__magic_name__    ,  bos_token_id=__magic_name__    ,  eos_token_id=__magic_name__    ,  **__magic_name__      )






def     _a					(						lowerCamelCase							):
 return " ".join(
     """""".join(word[::-1]							) if len(lowerCamelCase							) > 4 else word for word in sentence.split()							)


if __name__ == "__main__":
      import doctest

      doctest.testmod()
      print(reverse_long_words("""Hey wollef sroirraw"""))




