




def 							_UpperCAmelCase  (UpperCamelCase_ : int       ):
				'''simple docstring'''

				if isinstance(UpperCamelCase_      ,    UpperCamelCase_       ):
								raise TypeError("""'float' object cannot be interpreted as an integer"""       )
				if isinstance(UpperCamelCase_      ,    UpperCamelCase_       ):
								raise TypeError("""'str' object cannot be interpreted as an integer"""       )

				if num == 0:
								return "0b0"

				_lowerCAmelCase    :    Any										=      False

				if num < 0:
								_lowerCAmelCase    :    Optional[Any]										=      True
								_lowerCAmelCase    :    Tuple										=      -num

				_lowerCAmelCase    :    list[int]										=      []
				while num > 0:
								binary.insert(0      ,    num % 2       )
								num >>= 1

				if negative:
								return "-0b" + "".join(str(UpperCamelCase_       ) for e in binary       )

				return "0b" + "".join(str(UpperCamelCase_       ) for e in binary       )


if __name__ == "__main__":
	import doctest

	doctest.testmod()







import logging

from transformers.configuration_utils import PretrainedConfig


_lowerCamelCase      :  Union[str, Any]      						=						logging.getLogger(__name__)
class        __snake_case  (_a		):
				lowerCAmelCase__				=     "masked_bert"



				def __init__(      self      :		Union[str, Any]		,	_UpperCAmelCase      :		Union[str, Any]=3_0522		,	_UpperCAmelCase      :		Optional[Any]=768		,	_UpperCAmelCase      :		List[Any]=12		,	_UpperCAmelCase      :		Dict=12		,	_UpperCAmelCase      :		List[str]=3072		,	_UpperCAmelCase      :		List[Any]="gelu"		,	_UpperCAmelCase      :		Optional[Any]=0.1		,	_UpperCAmelCase      :		Optional[Any]=0.1		,	_UpperCAmelCase      :		List[Any]=512		,	_UpperCAmelCase      :		int=2		,	_UpperCAmelCase      :		Optional[int]=0.02		,	_UpperCAmelCase      :		str=1E-12		,	_UpperCAmelCase      :		Tuple=0		,	_UpperCAmelCase      :		Dict="topK"		,	_UpperCAmelCase      :		List[str]="constant"		,	_UpperCAmelCase      :		Optional[Any]=0.0		,	**_UpperCAmelCase      :		str		,	)  ->    Tuple:





								'''simple docstring'''




								super().__init__(pad_token_id=_UpperCAmelCase		,	**_UpperCAmelCase      )

								_lowerCAmelCase    :    str										=      vocab_size
								_lowerCAmelCase    :    List[str]										=      hidden_size
								_lowerCAmelCase    :    Any										=      num_hidden_layers
								_lowerCAmelCase    :    Optional[Any]										=      num_attention_heads
								_lowerCAmelCase    :    Optional[Any]										=      hidden_act
								_lowerCAmelCase    :    Union[str, Any]										=      intermediate_size
								_lowerCAmelCase    :    Tuple										=      hidden_dropout_prob
								_lowerCAmelCase    :    Optional[int]										=      attention_probs_dropout_prob
								_lowerCAmelCase    :    str										=      max_position_embeddings
								_lowerCAmelCase    :    int										=      type_vocab_size
								_lowerCAmelCase    :    List[str]										=      initializer_range
								_lowerCAmelCase    :    Optional[Any]										=      layer_norm_eps
								_lowerCAmelCase    :    Tuple										=      pruning_method
								_lowerCAmelCase    :    str										=      mask_init
								_lowerCAmelCase    :    List[str]										=      mask_scale

