

"""simple docstring"""




import copy

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


lowerCAmelCase       :				Dict         =					logging.get_logger(__name__)
class 	_A						(					__magic_name__):
  SCREAMING_SNAKE_CASE      : Optional[Any]    =					'speech-encoder-decoder'
  SCREAMING_SNAKE_CASE      : Union[str, Any]    =					True

  def __init__(			self	,   **_SCREAMING_SNAKE_CASE   ):





        """simple docstring"""







        super().__init__(**_SCREAMING_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}"   )

        SCREAMING_SNAKE_CASE_			:					int          =       kwargs.pop('encoder'   )
        SCREAMING_SNAKE_CASE_			:					Optional[int]          =       encoder_config.pop('model_type'   )
        SCREAMING_SNAKE_CASE_			:					Union[str, Any]          =       kwargs.pop('decoder'   )
        SCREAMING_SNAKE_CASE_			:					Tuple          =       decoder_config.pop('model_type'   )

        SCREAMING_SNAKE_CASE_			:					Optional[Any]          =       AutoConfig.for_model(_SCREAMING_SNAKE_CASE	,   **_SCREAMING_SNAKE_CASE   )
        SCREAMING_SNAKE_CASE_			:					Any          =       AutoConfig.for_model(_SCREAMING_SNAKE_CASE	,   **_SCREAMING_SNAKE_CASE   )
        SCREAMING_SNAKE_CASE_			:					List[str]          =       True

  @classmethod
  def 	UpperCAmelCase      (			cls	,   _SCREAMING_SNAKE_CASE	,   _SCREAMING_SNAKE_CASE	,   **_SCREAMING_SNAKE_CASE   ):





        """simple docstring"""







        logger.info('Setting `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config'   )
        SCREAMING_SNAKE_CASE_			:					Union[str, Any]          =       True
        SCREAMING_SNAKE_CASE_			:					List[str]          =       True

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



  def 	UpperCAmelCase      (			self   ):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_			:					Union[str, Any]          =       copy.deepcopy(self.__dict__   )
        SCREAMING_SNAKE_CASE_			:					List[Any]          =       self.encoder.to_dict()
        SCREAMING_SNAKE_CASE_			:					Union[str, Any]          =       self.decoder.to_dict()
        SCREAMING_SNAKE_CASE_			:					Dict          =       self.__class__.model_type
        return output









from collections import defaultdict

def 				A_					(							a					):

      """simple docstring"""



      SCREAMING_SNAKE_CASE_			:					defaultdict[str, int]          =       defaultdict(a					)
      # Creating a dictionary containing count of each word
      for word in sentence.split():
            occurrence[word] += 1
      return occurrence


if __name__ == "__main__":
    for word, count in word_occurrence('INPUT STRING').items():
        print(F'{word}: {count}')






