



"""simple docstring"""


import torch

from transformers import PreTrainedModel

from .custom_configuration import CustomConfig, NoSuperInitConfig







class  A_     (	SCREAMING_SNAKE_CASE_							):



						"""simple docstring"""
						__UpperCamelCase													=				CustomConfig






						def __init__(   self					:Optional[Any]  ,    lowercase_					:str   )							->     List[Any]:
												super().__init__(lowercase_   )
												UpperCAmelCase			 =					torch.nn.Linear(config.hidden_size  ,    config.hidden_size   )






						def       UpperCAmelCase__	(   self					:Dict  ,    lowercase_					:Optional[Any]   )							->     Union[str, Any]:
												return self.linear(lowercase_   )






						def       UpperCAmelCase__	(   self					:Dict  ,    lowercase_					:int   )							->     int:
												pass







class  A_     (	SCREAMING_SNAKE_CASE_							):



						"""simple docstring"""
						__UpperCamelCase													=				NoSuperInitConfig






						def __init__(   self					:Tuple  ,    lowercase_					:Union[str, Any]   )							->     Any:
												super().__init__(lowercase_   )
												UpperCAmelCase			 =					torch.nn.Linear(config.attribute  ,    config.attribute   )






						def       UpperCAmelCase__	(   self					:Union[str, Any]  ,    lowercase_					:Any   )							->     List[str]:
												return self.linear(lowercase_   )






						def       UpperCAmelCase__	(   self					:Union[str, Any]  ,    lowercase_					:Tuple   )							->     List[str]:
												pass










"""simple docstring"""


def 					_lowerCAmelCase (  lowercase_		):
						return " ".join(sorted(set(sentence.split()		)		)		)


if __name__ == "__main__":
				import doctest

				doctest.testmod()





