




import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import AutoConfig


a_      						=   logging.get_logger(__name__)

class        _lowerCamelCase  (	_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       Tuple			=    "speech-encoder-decoder"
      lowerCAmelCase__	:       int			=    True







      def __init__(   self    :       List[Any]       ,				**snake_case    :       Dict ):
          super().__init__(**snake_case )
          if "encoder" not in kwargs or "decoder" not in kwargs:
              raise ValueError(
                  F"A configuraton of type {self.model_type} cannot be instantiated because not both `encoder` and"
                  F" `decoder` sub-configurations are passed, but only {kwargs}" )

          __UpperCamelCase     						=  kwargs.pop('''encoder''' )
          __UpperCamelCase     						=  encoder_config.pop('''model_type''' )
          __UpperCamelCase     						=  kwargs.pop('''decoder''' )
          __UpperCamelCase     						=  decoder_config.pop('''model_type''' )

          __UpperCamelCase     						=  AutoConfig.for_model(snake_case       ,				**snake_case )
          __UpperCamelCase     						=  AutoConfig.for_model(snake_case       ,				**snake_case )
          __UpperCamelCase     						=  True







      @classmethod
      def 					snake_case		(   cls    :       int       ,				snake_case    :       PretrainedConfig       ,				snake_case    :       PretrainedConfig       ,				**snake_case    :       int ):
          logger.info('''Setting `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config''' )
          __UpperCamelCase     						=  True
          __UpperCamelCase     						=  True

          return cls(encoder=encoder_config.to_dict()       ,				decoder=decoder_config.to_dict()       ,				**snake_case )







      def 					snake_case		(   self    :       int ):
          __UpperCamelCase     						=  copy.deepcopy(self.__dict__ )
          __UpperCamelCase     						=  self.encoder.to_dict()
          __UpperCamelCase     						=  self.decoder.to_dict()
          __UpperCamelCase     						=  self.__class__.model_type
          return output












def     __SCREAMING_SNAKE_CASE      (     lowercase_    ,   lowercase_					)				->		int:

    """simple docstring"""


    __UpperCamelCase     						=  0
    for ele in arr:
        total_sum += product_sum(lowercase_    ,   depth + 1					) if isinstance(lowercase_    ,   lowercase_					) else ele
    return total_sum * depth




def     __SCREAMING_SNAKE_CASE      (     lowercase_					)				->		int:

    """simple docstring"""


    return product_sum(lowercase_    ,   1					)


if __name__ == "__main__":
 import doctest

 doctest.testmod()






