


'''simple docstring'''






import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging


__A					:  List[Any]											=      logging.get_logger(__name__)






class    __snake_case       (   _SCREAMING_SNAKE_CASE):







    """simple docstring"""



    lowercase    =					'encoder-decoder'
    lowercase    =					True

    def __init__(   self    :  Tuple    ,						**lowerCamelCase    :  Tuple		)   ->  Tuple:
      super().__init__(**lowerCamelCase		)
      assert (
          "encoder" in kwargs and "decoder" in kwargs
      ), "Config has to be initialized with encoder and decoder config"
      lowerCAmelCase_			:      Optional[Any]			=   kwargs.pop("""encoder"""		)
      lowerCAmelCase_			:      Dict			=   encoder_config.pop("""model_type"""		)
      lowerCAmelCase_			:      Union[str, Any]			=   kwargs.pop("""decoder"""		)
      lowerCAmelCase_			:      int			=   decoder_config.pop("""model_type"""		)

      from ..auto.configuration_auto import AutoConfig

      lowerCAmelCase_			:      Dict			=   AutoConfig.for_model(lowerCamelCase    ,						**lowerCamelCase		)
      lowerCAmelCase_			:      List[Any]			=   AutoConfig.for_model(lowerCamelCase    ,						**lowerCamelCase		)
      lowerCAmelCase_			:      Any			=   True

    @classmethod
    def __lowercase   (   cls    :  Optional[Any]    ,						lowerCamelCase    :  PretrainedConfig    ,						lowerCamelCase    :  PretrainedConfig    ,						**lowerCamelCase    :  List[Any]		)   ->  PretrainedConfig:
      logger.info("""Set `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config"""		)
      lowerCAmelCase_			:      Any			=   True
      lowerCAmelCase_			:      List[Any]			=   True

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





    def __lowercase   (   self    :  List[Any]		)   ->  str:
      lowerCAmelCase_			:      Optional[int]			=   copy.deepcopy(self.__dict__		)
      lowerCAmelCase_			:      Optional[Any]			=   self.encoder.to_dict()
      lowerCAmelCase_			:      Dict			=   self.decoder.to_dict()
      lowerCAmelCase_			:      Dict			=   self.__class__.model_type
      return output







'''simple docstring'''






from statistics import mean, stdev







def 				UpperCamelCase_			(    A__					:   list							,    A__					:   int = 3					):
  '''simple docstring'''





  lowerCAmelCase_			:      List[str]			=   min(A__					)
  lowerCAmelCase_			:      Optional[int]			=   max(A__					)
  # normalize data
  return [round((x - x_min) / (x_max - x_min)							,    A__					) for x in data]







def 				UpperCamelCase_			(    A__					:   list							,    A__					:   int = 3					):
  '''simple docstring'''





  lowerCAmelCase_			:      str			=   mean(A__					)
  lowerCAmelCase_			:      List[Any]			=   stdev(A__					)
  # standardize data
  return [round((x - mu) / (sigma)							,    A__					) for x in data]



