


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


__lowerCAmelCase	: Tuple  				=logging.get_logger(__name__)

__lowerCAmelCase	: Dict  				={
    'microsoft/markuplm-base': 'https://huggingface.co/microsoft/markuplm-base/resolve/main/config.json',
    'microsoft/markuplm-large': 'https://huggingface.co/microsoft/markuplm-large/resolve/main/config.json',
}
class        _lowercase      (			A__       ):






				'''simple docstring'''



				SCREAMING_SNAKE_CASE__				:			List[str]						=		'''markuplm'''


				def __init__(       self			:Union[str, Any]			,			lowerCAmelCase__			:List[str]=30_522			,			lowerCAmelCase__			:str=768			,			lowerCAmelCase__			:int=12			,			lowerCAmelCase__			:str=12			,			lowerCAmelCase__			:int=3_072			,			lowerCAmelCase__			:List[str]="gelu"			,			lowerCAmelCase__			:List[str]=0.1			,			lowerCAmelCase__			:Union[str, Any]=0.1			,			lowerCAmelCase__			:Optional[int]=512			,			lowerCAmelCase__			:Optional[Any]=2			,			lowerCAmelCase__			:str=0.02			,			lowerCAmelCase__			:str=1E-1_2			,			lowerCAmelCase__			:List[Any]=0			,			lowerCAmelCase__			:int=0			,			lowerCAmelCase__			:Optional[int]=2			,			lowerCAmelCase__			:List[Any]=256			,			lowerCAmelCase__			:Any=1_024			,			lowerCAmelCase__			:Any=216			,			lowerCAmelCase__			:List[str]=1_001			,			lowerCAmelCase__			:List[Any]=32			,			lowerCAmelCase__			:Any=50			,			lowerCAmelCase__			:Dict="absolute"			,			lowerCAmelCase__			:str=True			,			lowerCAmelCase__			:Any=None			,			**lowerCAmelCase__			:str			,			)		->			List[Any]:
										super().__init__(
										    pad_token_id=lowerCAmelCase__			,			bos_token_id=lowerCAmelCase__			,			eos_token_id=lowerCAmelCase__			,			**lowerCAmelCase__			,			)
										__SCREAMING_SNAKE_CASE						:     Union[str, Any]					=		vocab_size
										__SCREAMING_SNAKE_CASE						:     int					=		hidden_size
										__SCREAMING_SNAKE_CASE						:     List[str]					=		num_hidden_layers
										__SCREAMING_SNAKE_CASE						:     List[str]					=		num_attention_heads
										__SCREAMING_SNAKE_CASE						:     str					=		hidden_act
										__SCREAMING_SNAKE_CASE						:     Dict					=		intermediate_size
										__SCREAMING_SNAKE_CASE						:     List[Any]					=		hidden_dropout_prob
										__SCREAMING_SNAKE_CASE						:     Dict					=		attention_probs_dropout_prob
										__SCREAMING_SNAKE_CASE						:     List[str]					=		max_position_embeddings
										__SCREAMING_SNAKE_CASE						:     Union[str, Any]					=		type_vocab_size
										__SCREAMING_SNAKE_CASE						:     Optional[Any]					=		initializer_range
										__SCREAMING_SNAKE_CASE						:     List[str]					=		layer_norm_eps
										__SCREAMING_SNAKE_CASE						:     Any					=		position_embedding_type
										__SCREAMING_SNAKE_CASE						:     List[str]					=		use_cache
										__SCREAMING_SNAKE_CASE						:     Dict					=		classifier_dropout
										# additional properties
										__SCREAMING_SNAKE_CASE						:     Tuple					=		max_depth
										__SCREAMING_SNAKE_CASE						:     Tuple					=		max_xpath_tag_unit_embeddings
										__SCREAMING_SNAKE_CASE						:     List[str]					=		max_xpath_subs_unit_embeddings
										__SCREAMING_SNAKE_CASE						:     Any					=		tag_pad_id
										__SCREAMING_SNAKE_CASE						:     Optional[int]					=		subs_pad_id
										__SCREAMING_SNAKE_CASE						:     Any					=		xpath_unit_hidden_size







from timeit import timeit

def   a_    ( lowerCAmelCase_      :			int	):
   if number < 0:
      raise ValueError('the value of input must not be negative'	)
   __lowerCAmelCase								=	0
   while number:
      number &= number - 1
      result += 1
   return result

def   a_    ( lowerCAmelCase_      :			int	):
   if number < 0:
      raise ValueError('the value of input must not be negative'	)
   __lowerCAmelCase								=	0
   while number:
      if number % 2 == 1:
         result += 1
      number >>= 1
   return result

def   a_    ( ):

   def do_benchmark(lowerCAmelCase_      :			int	) -> None:
      __lowerCAmelCase								=	'import __main__ as z'
      print(F"""Benchmark when {number = }:"""	)
      print(F"""{get_set_bits_count_using_modulo_operator(lowerCAmelCase_	) = }"""	)
      __lowerCAmelCase								=	timeit('z.get_set_bits_count_using_modulo_operator(25)',	setup=lowerCAmelCase_	)
      print(F"""timeit() runs in {timing} seconds"""	)
      print(F"""{get_set_bits_count_using_brian_kernighans_algorithm(lowerCAmelCase_	) = }"""	)
      __lowerCAmelCase								=	timeit(
          'z.get_set_bits_count_using_brian_kernighans_algorithm(25)',	setup=lowerCAmelCase_,	)
      print(F"""timeit() runs in {timing} seconds"""	)

   for number in (25, 37, 58, 0):
      do_benchmark(lowerCAmelCase_	)
      print()


if __name__ == "__main__":
     import doctest

     doctest.testmod()
     benchmark()

