





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


__lowerCamelCase			:	List[str]					    =	logging.get_logger(__name__)

__lowerCamelCase			:	str					    =	{
    """transfo-xl-wt103""": """https://huggingface.co/transfo-xl-wt103/resolve/main/config.json""",
}



class    A__  (			__snake_case     ):
      _UpperCAmelCase      :int		       =  'transfo-xl'
      _UpperCAmelCase      :Dict		       =  ['mems']
      _UpperCAmelCase      :Union[str, Any]		       =  {
          'n_token': 'vocab_size',
          'hidden_size': 'd_model',
          'num_attention_heads': 'n_head',
          'num_hidden_layers': 'n_layer',
      }





      def __init__(					self			,				A_=26_7735			,				A_=[2_0000, 4_0000, 20_0000]			,				A_=1024			,				A_=1024			,				A_=16			,				A_=64			,				A_=4096			,				A_=4			,				A_=False			,				A_=18			,				A_=1600			,				A_=1000			,				A_=True			,				A_=True			,				A_=0			,				A_=-1			,				A_=True			,				A_=0.1			,				A_=0.0			,				A_=True			,				A_="normal"			,				A_=0.01			,				A_=0.01			,				A_=0.02			,				A_=1e-5			,				A_=0			,				**A_			,				):
       '''simple docstring'''




       UpperCamelCase      :   Optional[Any]			      =  vocab_size
       UpperCamelCase      :   str			      =  []
       self.cutoffs.extend(A_  )
       if proj_share_all_but_first:
        UpperCamelCase      :   Optional[Any]			      =  [False] + [True] * len(self.cutoffs  )
       else:
        UpperCamelCase      :   str			      =  [False] + [False] * len(self.cutoffs  )
       UpperCamelCase      :   Dict			      =  d_model
       UpperCamelCase      :   str			      =  d_embed
       UpperCamelCase      :   List[str]			      =  d_head
       UpperCamelCase      :   Tuple			      =  d_inner
       UpperCamelCase      :   Dict			      =  div_val
       UpperCamelCase      :   Optional[Any]			      =  pre_lnorm
       UpperCamelCase      :   str			      =  n_layer
       UpperCamelCase      :   Union[str, Any]			      =  n_head
       UpperCamelCase      :   Optional[int]			      =  mem_len
       UpperCamelCase      :   str			      =  same_length
       UpperCamelCase      :   List[str]			      =  attn_type
       UpperCamelCase      :   int			      =  clamp_len
       UpperCamelCase      :   Optional[Any]			      =  sample_softmax
       UpperCamelCase      :   List[str]			      =  adaptive
       UpperCamelCase      :   int			      =  dropout
       UpperCamelCase      :   List[Any]			      =  dropatt
       UpperCamelCase      :   Optional[Any]			      =  untie_r
       UpperCamelCase      :   Any			      =  init
       UpperCamelCase      :   str			      =  init_range
       UpperCamelCase      :   Optional[Any]			      =  proj_init_std
       UpperCamelCase      :   Union[str, Any]			      =  init_std
       UpperCamelCase      :   Union[str, Any]			      =  layer_norm_epsilon
       super().__init__(eos_token_id=A_			,				**A_  )





      @property
      def 			__UpperCamelCase(					self  ):
       '''simple docstring'''




       logger.info(F"""The model {self.model_type} is one of the few models that has no sequence length limit."""  )
       return -1





      @max_position_embeddings.setter
      def 			__UpperCamelCase(					self			,				A_  ):
       '''simple docstring'''




       raise NotImplementedError(
           F"""The model {self.model_type} is one of the few models that has no sequence length limit."""  )







def 						A_							(	_lowerCAmelCase				,  _lowerCAmelCase	)		->					Optional[int]:
 UpperCamelCase      :   List[Any]			      =  [1]
 for i in range(2				,  _lowerCAmelCase	):
  factorials.append(factorials[-1] * i	)
 assert 0 <= k < factorials[-1] * n, "k out of bounds"

 UpperCamelCase      :   Tuple			      =  []
 UpperCamelCase      :   str			      =  list(range(_lowerCAmelCase	)	)

 # Find permutation
 while factorials:
  UpperCamelCase      :   int			      =  factorials.pop()
  UpperCamelCase      ,       UpperCamelCase      :   int			      =  divmod(_lowerCAmelCase				,  _lowerCAmelCase	)
  permutation.append(elements[number]	)
  elements.remove(elements[number]	)
 permutation.append(elements[0]	)

 return permutation


if __name__ == "__main__":
    import doctest

    doctest.testmod()
