


'''simple docstring'''





import warnings

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


__lowerCamelCase												=						logging.get_logger(__name__)

__lowerCamelCase												=						{
    '''xlnet-base-cased''': '''https://huggingface.co/xlnet-base-cased/resolve/main/config.json''',
    '''xlnet-large-cased''': '''https://huggingface.co/xlnet-large-cased/resolve/main/config.json''',
}




class 				UpperCAmelCase			(			_snake_case						):
 UpperCAmelCase				=					"xlnet"
 UpperCAmelCase				=					["mems"]
 UpperCAmelCase				=					{
     "n_token": "vocab_size",  # Backward compatibility
     "hidden_size": "d_model",
     "num_attention_heads": "n_head",
     "num_hidden_layers": "n_layer",
 }


 def __init__(      self							:	List[str]			,       __lowerCamelCase							:	str=3_2_0_0_0			,       __lowerCamelCase							:	Tuple=1_0_2_4			,       __lowerCamelCase							:	Tuple=2_4			,       __lowerCamelCase							:	Optional[int]=1_6			,       __lowerCamelCase							:	int=4_0_9_6			,       __lowerCamelCase							:	Dict="gelu"			,       __lowerCamelCase							:	Optional[Any]=True			,       __lowerCamelCase							:	Tuple="bi"			,       __lowerCamelCase							:	Union[str, Any]=0.02			,       __lowerCamelCase							:	Optional[Any]=1e-12			,       __lowerCamelCase							:	Dict=0.1			,       __lowerCamelCase							:	Tuple=5_1_2			,       __lowerCamelCase							:	Any=None			,       __lowerCamelCase							:	Optional[int]=True			,       __lowerCamelCase							:	Any=False			,       __lowerCamelCase							:	int=False			,       __lowerCamelCase							:	List[Any]=-1			,       __lowerCamelCase							:	int=False			,       __lowerCamelCase							:	Any="last"			,       __lowerCamelCase							:	List[Any]=True			,       __lowerCamelCase							:	Optional[Any]="tanh"			,       __lowerCamelCase							:	int=0.1			,       __lowerCamelCase							:	Dict=5			,       __lowerCamelCase							:	Any=5			,       __lowerCamelCase							:	str=5			,       __lowerCamelCase							:	List[str]=1			,       __lowerCamelCase							:	Dict=2			,       **__lowerCamelCase							:	Tuple			,       ):
    UpperCAmelCase__	:List[Any]      =      vocab_size
    UpperCAmelCase__	:List[Any]      =      d_model
    UpperCAmelCase__	:Any      =      n_layer
    UpperCAmelCase__	:Optional[int]      =      n_head
    if d_model % n_head != 0:
       raise ValueError(f'''\'d_model % n_head\' ({d_model % n_head}) should be equal to 0''' )
    if "d_head" in kwargs:
       if kwargs["d_head"] != d_model // n_head:
          raise ValueError(
              f'''`d_head` ({kwargs["d_head"]}) should be equal to `d_model // n_head` ({d_model // n_head})''' )
    UpperCAmelCase__	:int      =      d_model // n_head
    UpperCAmelCase__	:List[str]      =      ff_activation
    UpperCAmelCase__	:Union[str, Any]      =      d_inner
    UpperCAmelCase__	:Dict      =      untie_r
    UpperCAmelCase__	:List[Any]      =      attn_type

    UpperCAmelCase__	:List[Any]      =      initializer_range
    UpperCAmelCase__	:str      =      layer_norm_eps

    UpperCAmelCase__	:int      =      dropout
    UpperCAmelCase__	:Tuple      =      mem_len
    UpperCAmelCase__	:Optional[Any]      =      reuse_len
    UpperCAmelCase__	:Union[str, Any]      =      bi_data
    UpperCAmelCase__	:List[str]      =      clamp_len
    UpperCAmelCase__	:Tuple      =      same_length

    UpperCAmelCase__	:str      =      summary_type
    UpperCAmelCase__	:Optional[Any]      =      summary_use_proj
    UpperCAmelCase__	:Union[str, Any]      =      summary_activation
    UpperCAmelCase__	:Union[str, Any]      =      summary_last_dropout
    UpperCAmelCase__	:int      =      start_n_top
    UpperCAmelCase__	:Optional[Any]      =      end_n_top

    UpperCAmelCase__	:List[Any]      =      bos_token_id
    UpperCAmelCase__	:str      =      pad_token_id
    UpperCAmelCase__	:Tuple      =      eos_token_id

    if "use_cache" in kwargs:
       warnings.warn(
           '''The `use_cache` argument is deprecated and will be removed in a future version, use `use_mems_eval`'''
           ''' instead.'''			,       __lowerCamelCase			,       )
       UpperCAmelCase__	:Dict      =      kwargs['''use_cache''']

    UpperCAmelCase__	:int      =      use_mems_eval
    UpperCAmelCase__	:List[str]      =      use_mems_train
    super().__init__(pad_token_id=__lowerCamelCase			,       bos_token_id=__lowerCamelCase			,       eos_token_id=__lowerCamelCase			,       **__lowerCamelCase )


 @property
 def        __SCREAMING_SNAKE_CASE					(      self							:	List[str] ):
    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        __SCREAMING_SNAKE_CASE					(      self							:	str			,       __lowerCamelCase							:	Optional[Any] ):
    # 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        a__     (					UpperCamelCase_						:      int | float | str						):
   try:
      UpperCAmelCase__	:Union[str, Any]      =      float(UpperCamelCase_						)
   except ValueError:
      raise ValueError('''Please enter a valid number'''						)
   UpperCAmelCase__	:List[str]      =      decimal - int(UpperCamelCase_						)
   if fractional_part == 0:
      return int(UpperCamelCase_						), 1
   else:
      UpperCAmelCase__	:List[Any]      =      len(str(UpperCamelCase_						).split('''.'''						)[1]						)
      UpperCAmelCase__	:Tuple      =      int(decimal * (10**number_of_frac_digits)						)
      UpperCAmelCase__	:int      =      10**number_of_frac_digits
      UpperCAmelCase__   ,						UpperCAmelCase__	:List[str]      =      denominator, numerator
      while True:
         UpperCAmelCase__	:Optional[Any]      =      dividend % divisor
         if remainder == 0:
            break
         UpperCAmelCase__   ,						UpperCAmelCase__	:List[str]      =      divisor, remainder
      UpperCAmelCase__   ,						UpperCAmelCase__	:Tuple      =      numerator / divisor, denominator / divisor
      return int(UpperCamelCase_						), int(UpperCamelCase_						)


if __name__ == "__main__":
    print(F'''{decimal_to_fraction(2) = }''')
    print(F'''{decimal_to_fraction(89.0) = }''')
    print(F'''{decimal_to_fraction("67") = }''')
    print(F'''{decimal_to_fraction("45.0") = }''')
    print(F'''{decimal_to_fraction(1.5) = }''')
    print(F'''{decimal_to_fraction("6.25") = }''')
    print(F'''{decimal_to_fraction("78td") = }''')



