




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


lowerCamelCase							:						int					       =  logging.get_logger(__name__)

lowerCamelCase							:						Optional[int]					       =  {
    "transfo-xl-wt103": "https://huggingface.co/transfo-xl-wt103/resolve/main/config.json",
}







class     A(		_UpperCamelCase  ):



 '''simple docstring'''


 UpperCamelCase		  =		'transfo-xl'
 UpperCamelCase		  =		['mems']
 UpperCamelCase		  =		{
     'n_token': 'vocab_size',
     'hidden_size': 'd_model',
     'num_attention_heads': 'n_head',
     'num_hidden_layers': 'n_layer',
 }

 def __init__(							self   :    Optional[int]		,				A_   :    Any=267735		,				A_   :    int=[20000, 40000, 200000]		,				A_   :    Optional[int]=1024		,				A_   :    Any=1024		,				A_   :    Any=16		,				A_   :    List[Any]=64		,				A_   :    int=4096		,				A_   :    Union[str, Any]=4		,				A_   :    Any=False		,				A_   :    Optional[Any]=18		,				A_   :    List[str]=1600		,				A_   :    Any=1000		,				A_   :    List[str]=True		,				A_   :    Optional[int]=True		,				A_   :    List[Any]=0		,				A_   :    Union[str, Any]=-1		,				A_   :    Optional[Any]=True		,				A_   :    Union[str, Any]=0.1		,				A_   :    Any=0.0		,				A_   :    List[Any]=True		,				A_   :    Union[str, Any]="normal"		,				A_   :    Any=0.01		,				A_   :    Optional[Any]=0.01		,				A_   :    Dict=0.02		,				A_   :    List[Any]=1E-5		,				A_   :    int=0		,				**A_   :    Any		,				)  ->      Optional[Any]:

       """simple docstring"""






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

 @property
 def 							a__					(							self   :    Optional[int]    )  ->      List[str]:

       """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 							a__					(							self   :    Dict		,				A_   :    List[str]    )  ->      Optional[int]:

       """simple docstring"""






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









def 				A__ (snake_case   :		float		,	snake_case   :		int				)     ->						float:
					if digit_amount > 0:
										return round(number - int(snake_case				)		,	snake_case				)
					return number - int(snake_case				)


if __name__ == "__main__":
	print(decimal_isolate(1.53, 0))
	print(decimal_isolate(35.345, 1))
	print(decimal_isolate(35.345, 2))
	print(decimal_isolate(35.345, 3))
	print(decimal_isolate(-14.789, 3))
	print(decimal_isolate(0, 2))
	print(decimal_isolate(-14.123, 1))
	print(decimal_isolate(-14.123, 2))
	print(decimal_isolate(-14.123, 3))






