


'''simple docstring'''






import logging

from transformers import PretrainedConfig


a_					:    str          =    logging.getLogger(__name__)


a_					:    List[str]          =    {
    "bertabs-finetuned-cnndm": "https://huggingface.co/remi/bertabs-finetuned-cnndm-extractive-abstractive-summarization/resolve/main/config.json",
}




class  a     (     _SCREAMING_SNAKE_CASE       ):
 _lowerCAmelCase 					=	"""bertabs"""
 def __init__( self      ,				__magic_name__=3_05_22      ,				__magic_name__=5_12      ,				__magic_name__=6      ,				__magic_name__=5_12      ,				__magic_name__=8      ,				__magic_name__=5_12      ,				__magic_name__=0.2      ,				__magic_name__=6      ,				__magic_name__=7_68      ,				__magic_name__=8      ,				__magic_name__=20_48      ,				__magic_name__=0.2      ,				**__magic_name__      ,				)					->							List[str]:
      super().__init__(**__magic_name__						)

      _a			      =							vocab_size
      _a			      =							max_pos

      _a			      =							enc_layers
      _a			      =							enc_hidden_size
      _a			      =							enc_heads
      _a			      =							enc_ff_size
      _a			      =							enc_dropout

      _a			      =							dec_layers
      _a			      =							dec_hidden_size
      _a			      =							dec_heads
      _a			      =							dec_ff_size
      _a			      =							dec_dropout





'''simple docstring'''






from typing import Any






def 	_A				(lowerCAmelCase__  :list		)   ->  list[Any]:




     '''simple docstring'''



     if not input_list:
          return []
     _a			      =							[input_list.count(lowerCAmelCase__		) for value in input_list]
     _a			      =							max(lowerCAmelCase__		)  # Gets the maximum count in the input list.
     # Gets values of modes
     return sorted({input_list[i] for i, value in enumerate(lowerCAmelCase__		) if value == y}		)


if __name__ == "__main__":
 import doctest

 doctest.testmod()

