





import copy

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


__lowercase													=			logging.get_logger(__name__)

class   __snake_case				(			UpperCamelCase__   ):






    '''simple docstring'''
    _lowerCAmelCase     =	"""speech-encoder-decoder"""
    _lowerCAmelCase     =	True





    def __init__(   self						:		Tuple			,						**snake_case						:		Optional[Any]							):

      """simple docstring"""





      super().__init__(**lowerCAmelCase__							)
      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}'''							)

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

      __lowerCAmelCase			=				AutoConfig.for_model(lowerCAmelCase__			,						**lowerCAmelCase__							)
      __lowerCAmelCase			=				AutoConfig.for_model(lowerCAmelCase__			,						**lowerCAmelCase__							)
      __lowerCAmelCase			=				True





    @classmethod
    def 	A		(   cls						:		Any			,						snake_case						:		Union[str, Any]			,						snake_case						:		List[str]			,						**snake_case						:		int							):

      """simple docstring"""





      logger.info('''Setting `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config'''							)
      __lowerCAmelCase			=				True
      __lowerCAmelCase			=				True

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





    def 	A		(   self						:		Any							):

      """simple docstring"""





      __lowerCAmelCase			=				copy.deepcopy(self.__dict__							)
      __lowerCAmelCase			=				self.encoder.to_dict()
      __lowerCAmelCase			=				self.decoder.to_dict()
      __lowerCAmelCase			=				self.__class__.model_type
      return output











def 					__SCREAMING_SNAKE_CASE  (							__lowercase:		list):



  '''simple docstring'''






  if len(__lowercase) <= 1:
    return data
  else:
    return [
        *quick_sort([e for e in data[1:] if e <= data[0]]),
        data[0],
        *quick_sort([e for e in data[1:] if e > data[0]]),
    ]


if __name__ == "__main__":
      import doctest

      doctest.testmod()
