



"""simple docstring"""





import copy

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


SCREAMING_SNAKE_CASE				:     Optional[Any]          =	logging.get_logger(__name__)


class       __lowerCamelCase	(   __lowercase    ):
   __UpperCamelCase									=   'speech-encoder-decoder'
   __UpperCamelCase									=   True







   def __init__(self       ,	**lowerCamelCase				):




      '''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       ,	lowerCamelCase       ,	lowerCamelCase       ,	**lowerCamelCase				):




      '''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				):




      '''simple docstring'''




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




"""simple docstring"""





def 	__UpperCAmelCase					(       snake_case_  :  Optional[int]   ,	snake_case_  :  List[str]   )							->	Optional[int]:






   """simple docstring"""


   if n < 0:
      return 0
   # table[i] represents the number of ways to get to amount i
   _lowerCAmelCase					     =		[0] * (n + 1)

   # There is exactly 1 way to get to zero(You pick no coins).
   _lowerCAmelCase					     =		1

   # Pick all coins one by one and update table[] values
   # after the index greater than or equal to the value of the
   # picked coin
   for coin_val in s:
      for j in range(snake_case_   ,	n + 1   ):
         table[j] += table[j - coin_val]

   return table[n]


if __name__ == "__main__":
  import doctest

  doctest.testmod()