import copy

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


__snake_case						=			logging.get_logger(__name__)







class 	__snake_case      (   lowerCAmelCase__      ):
 __lowerCamelCase			:      Any           =					"""encoder-decoder"""
 __lowerCamelCase			:      Optional[int]           =					True
 def __init__(     self						,      **snake_case__  )		->							Union[str, Any]:
       '''simple docstring'''





       super().__init__(**UpperCamelCase__  )
       assert (
           "encoder" in kwargs and "decoder" in kwargs
       ), "Config has to be initialized with encoder and decoder config"
       UpperCAmelCase			:       List[str]			     =kwargs.pop('''encoder'''  )
       UpperCAmelCase			:       int			     =encoder_config.pop('''model_type'''  )
       UpperCAmelCase			:       Union[str, Any]			     =kwargs.pop('''decoder'''  )
       UpperCAmelCase			:       str			     =decoder_config.pop('''model_type'''  )

       from ..auto.configuration_auto import AutoConfig

       UpperCAmelCase			:       int			     =AutoConfig.for_model(UpperCamelCase__						,      **UpperCamelCase__  )
       UpperCAmelCase			:       Dict			     =AutoConfig.for_model(UpperCamelCase__						,      **UpperCamelCase__  )
       UpperCAmelCase			:       Tuple			     =True
 @classmethod
 def 		UpperCAmelCase__				(     cls						,      snake_case__						,      snake_case__						,      **snake_case__  )		->							PretrainedConfig:
       '''simple docstring'''





       logger.info('''Set `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config'''  )
       UpperCAmelCase			:       List[Any]			     =True
       UpperCAmelCase			:       List[str]			     =True

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






 def 		UpperCAmelCase__				(     self  )		->							List[Any]:
       '''simple docstring'''





       UpperCAmelCase			:       Optional[int]			     =copy.deepcopy(self.__dict__  )
       UpperCAmelCase			:       Dict			     =self.encoder.to_dict()
       UpperCAmelCase			:       Dict			     =self.decoder.to_dict()
       UpperCAmelCase			:       Any			     =self.__class__.model_type
       return output






def      A      (      _SCREAMING_SNAKE_CASE    )	-> list:
       if n_term == "":
              return []
       lowerCamelCase   :      list			 =					[]
       for temp in range(int(_SCREAMING_SNAKE_CASE    )    ):
              series.append(f'''1/{temp + 1}''' if series else "1"    )
       return series


if __name__ == "__main__":
       SCREAMING_SNAKE_CASE__       :      Dict  =   input('Enter the last number (nth term) of the Harmonic Series')
       print('Formula of Harmonic Series => 1+1/2+1/3 ..... 1/n')
       print(harmonic_series(nth_term))






