"""simple docstring"""





import copy

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


__A     = logging.get_logger(__name__)
class        _snake_case   (    a__						):
						snake_case__	     =	"encoder-decoder"
						snake_case__	     =	True






						def __init__(				self					:	int							,    **UpperCAmelCase					:	Optional[Any]			):
													super().__init__(**UpperCAmelCase			)
													assert (
													    "encoder" in kwargs and "decoder" in kwargs
													), "Config has to be initialized with encoder and decoder config"
													__lowerCamelCase    :						Tuple						      =   kwargs.pop("encoder"			)
													__lowerCamelCase    :						List[Any]						      =   encoder_config.pop("model_type"			)
													__lowerCamelCase    :						Optional[int]						      =   kwargs.pop("decoder"			)
													__lowerCamelCase    :						List[Any]						      =   decoder_config.pop("model_type"			)

													from ..auto.configuration_auto import AutoConfig

													__lowerCamelCase    :						Any						      =   AutoConfig.for_model(UpperCAmelCase							,    **UpperCAmelCase			)
													__lowerCamelCase    :						Tuple						      =   AutoConfig.for_model(UpperCAmelCase							,    **UpperCAmelCase			)
													__lowerCamelCase    :						Any						      =   True






						@classmethod
						def 					lowerCamelCase__   (				cls					:	List[Any]							,    UpperCAmelCase					:	Any							,    UpperCAmelCase					:	Optional[Any]							,    **UpperCAmelCase					:	Dict			):
													logger.info("Set `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config"			)
													__lowerCamelCase    :						int						      =   True
													__lowerCamelCase    :						List[Any]						      =   True

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







						def 					lowerCamelCase__   (				self					:	Any			):
													__lowerCamelCase    :						int						      =   copy.deepcopy(self.__dict__			)
													__lowerCamelCase    :						List[Any]						      =   self.encoder.to_dict()
													__lowerCamelCase    :						Optional[int]						      =   self.decoder.to_dict()
													__lowerCamelCase    :						List[Any]						      =   self.__class__.model_type
													return output


def      a      (			A__	:   str      ,   A__	:   bool = False     )    ->      str:





      """simple docstring"""



      if not isinstance(A__      ,   A__     ):
            _lowercase	       =F'''Expected string as input, found {type(A__     )}'''
            raise ValueError(A__     )
      if not isinstance(A__      ,   A__     ):
            _lowercase	       =F'''Expected boolean as use_pascal parameter, found {type(A__     )}'''
            raise ValueError(A__     )

      _lowercase	       =input_str.split('_'     )

      _lowercase	       =0 if use_pascal else 1

      _lowercase	       =words[start_index:]

      _lowercase	       =[word[0].upper() + word[1:] for word in words_to_capitalize]

      _lowercase	       ='' if use_pascal else words[0]

      return "".join([initial_word, *capitalized_words]     )


if __name__ == "__main__":
  from doctest import testmod

  testmod()


