





import logging

from transformers import PretrainedConfig


UpperCAmelCase     :     str							=	logging.getLogger(__name__)


UpperCAmelCase     :     Tuple							=	{
    """bertabs-finetuned-cnndm""": """https://huggingface.co/remi/bertabs-finetuned-cnndm-extractive-abstractive-summarization/resolve/main/config.json""",
}







class     __lowerCAmelCase	(   UpperCamelCase__):
      _lowercase    : Dict            =      """bertabs"""







      def __init__(   self		,				lowerCAmelCase__=3_0_5_2_2		,				lowerCAmelCase__=5_1_2		,				lowerCAmelCase__=6		,				lowerCAmelCase__=5_1_2		,				lowerCAmelCase__=8		,				lowerCAmelCase__=5_1_2		,				lowerCAmelCase__=0.2		,				lowerCAmelCase__=6		,				lowerCAmelCase__=7_6_8		,				lowerCAmelCase__=8		,				lowerCAmelCase__=2_0_4_8		,				lowerCAmelCase__=0.2		,				**lowerCAmelCase__		,				)       ->						Union[str, Any]:



        '''simple docstring'''




        super().__init__(**lowerCAmelCase__							)

        a__     : int  =vocab_size
        a__     : Tuple  =max_pos

        a__     : Union[str, Any]  =enc_layers
        a__     : List[str]  =enc_hidden_size
        a__     : Optional[int]  =enc_heads
        a__     : Tuple  =enc_ff_size
        a__     : List[str]  =enc_dropout

        a__     : Dict  =dec_layers
        a__     : Union[str, Any]  =dec_hidden_size
        a__     : Optional[int]  =dec_heads
        a__     : int  =dec_ff_size
        a__     : Optional[int]  =dec_dropout













def 					_A	(		SCREAMING_SNAKE_CASE					:       float	,	SCREAMING_SNAKE_CASE					:       float						):





  """simple docstring"""



  return price * (1 + tax_rate)


if __name__ == "__main__":
     print(F"""{price_plus_tax(100, 0.2_5) = }""")
     print(F"""{price_plus_tax(1_2_5.5_0, 0.0_5) = }""")






