'''simple docstring'''

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


__a: Optional[Any]          =   logging.get_logger(__name__)

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



class 			UpperCAmelCase  (						a__					):





       '''simple docstring'''



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

       def __init__(						self	,   __lowerCAmelCase=267735	,   __lowerCAmelCase=[20000, 40000, 200000]	,   __lowerCAmelCase=1024	,   __lowerCAmelCase=1024	,   __lowerCAmelCase=16	,   __lowerCAmelCase=64	,   __lowerCAmelCase=4096	,   __lowerCAmelCase=4	,   __lowerCAmelCase=False	,   __lowerCAmelCase=18	,   __lowerCAmelCase=1600	,   __lowerCAmelCase=1000	,   __lowerCAmelCase=True	,   __lowerCAmelCase=True	,   __lowerCAmelCase=0	,   __lowerCAmelCase=-1	,   __lowerCAmelCase=True	,   __lowerCAmelCase=0.1	,   __lowerCAmelCase=0.0	,   __lowerCAmelCase=True	,   __lowerCAmelCase="normal"	,   __lowerCAmelCase=0.0_1	,   __lowerCAmelCase=0.0_1	,   __lowerCAmelCase=0.0_2	,   __lowerCAmelCase=1E-5	,   __lowerCAmelCase=0	,   **__lowerCAmelCase	,   )  ->  Dict:
        lowercase__				:    List[Any]  =					vocab_size
        lowercase__				:    str  =					[]
        self.cutoffs.extend(__lowerCAmelCase )
        if proj_share_all_but_first:
         lowercase__				:    str  =					[False] + [True] * len(self.cutoffs )
        else:
         lowercase__				:    List[str]  =					[False] + [False] * len(self.cutoffs )
        lowercase__				:    str  =					d_model
        lowercase__				:    List[str]  =					d_embed
        lowercase__				:    List[str]  =					d_head
        lowercase__				:    List[str]  =					d_inner
        lowercase__				:    str  =					div_val
        lowercase__				:    Optional[Any]  =					pre_lnorm
        lowercase__				:    List[Any]  =					n_layer
        lowercase__				:    Union[str, Any]  =					n_head
        lowercase__				:    Dict  =					mem_len
        lowercase__				:    Tuple  =					same_length
        lowercase__				:    Any  =					attn_type
        lowercase__				:    Dict  =					clamp_len
        lowercase__				:    Any  =					sample_softmax
        lowercase__				:    Any  =					adaptive
        lowercase__				:    Any  =					dropout
        lowercase__				:    Tuple  =					dropatt
        lowercase__				:    Optional[Any]  =					untie_r
        lowercase__				:    Any  =					init
        lowercase__				:    Dict  =					init_range
        lowercase__				:    List[Any]  =					proj_init_std
        lowercase__				:    Tuple  =					init_std
        lowercase__				:    List[Any]  =					layer_norm_epsilon
        super().__init__(eos_token_id=__lowerCAmelCase	,   **__lowerCAmelCase )

       @property
       def _lowerCAmelCase(						self )  ->  List[str]:
        # Message copied from Transformer-XL documentation
        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 _lowerCAmelCase(						self	,   __lowerCAmelCase )  ->  Dict:
        # Message copied from Transformer-XL documentation
        raise NotImplementedError(
            F"""The model {self.model_type} is one of the few models that has no sequence length limit.""" )


'''simple docstring'''

def 			__UpperCamelCase       (   UpperCAmelCase = 1		,     UpperCAmelCase = 1000     ):
 lowercase__				:    Dict  =					1
 lowercase__				:    Dict  =					0

 for divide_by_number in range(UpperCAmelCase		,     digit + 1     ):
  lowercase__				:    list[int]  =					[]
  lowercase__				:    Union[str, Any]  =					numerator
  for _ in range(1		,     digit + 1     ):
   if now_divide in has_been_divided:
    if longest_list_length < len(UpperCAmelCase     ):
     lowercase__				:    Dict  =					len(UpperCAmelCase     )
     lowercase__				:    Optional[Any]  =					divide_by_number
   else:
    has_been_divided.append(UpperCAmelCase     )
    lowercase__				:    int  =					now_divide * 10 % divide_by_number

 return the_digit


# Tests
if __name__ == "__main__":
  import doctest

  doctest.testmod()

