






import math





def  _lowerCamelCase						(						__lowerCamelCase ,							__lowerCamelCase       ) ->			float:

     '''simple docstring'''
     if (
         not isinstance(__lowerCamelCase ,							(int, float)       )
         or power_factor < -1
         or power_factor > 1
     ):
          raise ValueError("""power_factor must be a valid float value between -1 and 1."""       )
     return apparent_power * power_factor





def  _lowerCamelCase						(						__lowerCamelCase ,							__lowerCamelCase       ) ->			float:

     '''simple docstring'''
     if (
         not isinstance(__lowerCamelCase ,							(int, float)       )
         or power_factor < -1
         or power_factor > 1
     ):
          raise ValueError("""power_factor must be a valid float value between -1 and 1."""       )
     return apparent_power * math.sqrt(1 - power_factor**2       )


if __name__ == "__main__":
      import doctest

      doctest.testmod()













import logging

from transformers import PretrainedConfig


_lowerCAmelCase				:   str						       =						logging.getLogger(__name__)


_lowerCAmelCase				:   Dict						       =						{
    '''bertabs-finetuned-cnndm''': '''https://huggingface.co/remi/bertabs-finetuned-cnndm-extractive-abstractive-summarization/resolve/main/config.json''',
}


class        __magic_name__	(				lowerCamelCase__				):





     """simple docstring"""



     __UpperCamelCase            =  '''bertabs'''



     def __init__(				self							:Optional[int]      ,   snake_case							:Any=30_522      ,   snake_case							:List[str]=512      ,   snake_case							:str=6      ,   snake_case							:int=512      ,   snake_case							:Optional[Any]=8      ,   snake_case							:Tuple=512      ,   snake_case							:str=0.2      ,   snake_case							:Any=6      ,   snake_case							:Optional[Any]=768      ,   snake_case							:Optional[Any]=8      ,   snake_case							:List[Any]=2_048      ,   snake_case							:Dict=0.2      ,   **snake_case							:List[str]      ,   ):





        '''simple docstring'''




        super().__init__(**snake_case	)

        A_       :					List[str]        =      vocab_size
        A_       :					int        =      max_pos

        A_       :					Tuple        =      enc_layers
        A_       :					Tuple        =      enc_hidden_size
        A_       :					str        =      enc_heads
        A_       :					Optional[Any]        =      enc_ff_size
        A_       :					Optional[Any]        =      enc_dropout

        A_       :					List[str]        =      dec_layers
        A_       :					List[Any]        =      dec_hidden_size
        A_       :					Optional[int]        =      dec_heads
        A_       :					Any        =      dec_ff_size
        A_       :					Optional[int]        =      dec_dropout
