




import warnings

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


__UpperCamelCase					:       Any    					=      logging.get_logger(__name__)

__UpperCamelCase					:       str    					=      {
    "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 		__lowerCAmelCase	(	__magic_name__ ):
							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						:Dict		,      __magic_name__						:Optional[int]=3_2000		,      __magic_name__						:Union[str, Any]=1024		,      __magic_name__						:str=24		,      __magic_name__						:List[Any]=16		,      __magic_name__						:Tuple=4096		,      __magic_name__						:Dict="gelu"		,      __magic_name__						:Optional[int]=True		,      __magic_name__						:str="bi"		,      __magic_name__						:Optional[Any]=0.02		,      __magic_name__						:List[str]=1E-1_2		,      __magic_name__						:List[str]=0.1		,      __magic_name__						:List[str]=512		,      __magic_name__						:Any=None		,      __magic_name__						:Any=True		,      __magic_name__						:List[str]=False		,      __magic_name__						:Optional[int]=False		,      __magic_name__						:Union[str, Any]=-1		,      __magic_name__						:Optional[Any]=False		,      __magic_name__						:Dict="last"		,      __magic_name__						:str=True		,      __magic_name__						:List[Any]="tanh"		,      __magic_name__						:Tuple=0.1		,      __magic_name__						:Optional[Any]=5		,      __magic_name__						:int=5		,      __magic_name__						:Union[str, Any]=5		,      __magic_name__						:Union[str, Any]=1		,      __magic_name__						:str=2		,      **__magic_name__						:List[Any]		,      ):







								'''simple docstring'''







								a										=							vocab_size
								a										=							d_model
								a										=							n_layer
								a										=							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})'				)
								a										=							d_model // n_head
								a										=							ff_activation
								a										=							d_inner
								a										=							untie_r
								a										=							attn_type

								a										=							initializer_range
								a										=							layer_norm_eps

								a										=							dropout
								a										=							mem_len
								a										=							reuse_len
								a										=							bi_data
								a										=							clamp_len
								a										=							same_length

								a										=							summary_type
								a										=							summary_use_proj
								a										=							summary_activation
								a										=							summary_last_dropout
								a										=							start_n_top
								a										=							end_n_top

								a										=							bos_token_id
								a										=							pad_token_id
								a										=							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."""		,      __magic_name__		,      )
									a										=							kwargs["""use_cache"""]

								a										=							use_mems_eval
								a										=							use_mems_train
								super().__init__(pad_token_id=__magic_name__		,      bos_token_id=__magic_name__		,      eos_token_id=__magic_name__		,      **__magic_name__				)
							@property
							def       lowerCamelCase__							(						self						:Union[str, Any]				):







								'''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       lowerCamelCase__							(						self						:Any		,      __magic_name__						:Union[str, Any]				):







								'''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    )      ->       int:
	a										=							0
	while num > 0:
		digit_sum += num % 10
		num //= 10
	return digit_sum





def 		__A		(	__lowerCamelCase = 100    )      ->       int:
	a										=							1
	a										=							2

	for i in range(2							,			max_n + 1    ):
		a										=							pre_numerator
		a										=							2 * i // 3 if i % 3 == 0 else 1
		a										=							cur_numerator
		a										=							e_cont * pre_numerator + temp

	return sum_digits(__lowerCamelCase    )


if __name__ == "__main__":
		print(F'{solution() = }')

