


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


lowerCamelCase						=		logging.get_logger(__name__)

lowerCamelCase						=		{
    'weiweishi/roc-bert-base-zh': 'https://huggingface.co/weiweishi/roc-bert-base-zh/resolve/main/config.json',
}





class  _a							(    SCREAMING_SNAKE_CASE__):
	_a  :  Tuple				   =							'''roc_bert'''




	def __init__( self						:		Any		, _SCREAMING_SNAKE_CASE						:		List[str]=3_0522		, _SCREAMING_SNAKE_CASE						:		int=768		, _SCREAMING_SNAKE_CASE						:		List[str]=12		, _SCREAMING_SNAKE_CASE						:		int=12		, _SCREAMING_SNAKE_CASE						:		List[Any]=3072		, _SCREAMING_SNAKE_CASE						:		List[str]="gelu"		, _SCREAMING_SNAKE_CASE						:		List[Any]=0.1		, _SCREAMING_SNAKE_CASE						:		int=0.1		, _SCREAMING_SNAKE_CASE						:		Optional[Any]=512		, _SCREAMING_SNAKE_CASE						:		int=2		, _SCREAMING_SNAKE_CASE						:		Any=0.02		, _SCREAMING_SNAKE_CASE						:		Union[str, Any]=1E-12		, _SCREAMING_SNAKE_CASE						:		str=True		, _SCREAMING_SNAKE_CASE						:		int=0		, _SCREAMING_SNAKE_CASE						:		List[Any]="absolute"		, _SCREAMING_SNAKE_CASE						:		List[str]=None		, _SCREAMING_SNAKE_CASE						:		Tuple=True		, _SCREAMING_SNAKE_CASE						:		Dict=True		, _SCREAMING_SNAKE_CASE						:		Dict=768		, _SCREAMING_SNAKE_CASE						:		List[str]=910		, _SCREAMING_SNAKE_CASE						:		Any=512		, _SCREAMING_SNAKE_CASE						:		Optional[int]=2_4858		, _SCREAMING_SNAKE_CASE						:		Any=True		, **_SCREAMING_SNAKE_CASE						:		Tuple		, )->	int:
			lowerCAmelCase__       :      int   					= vocab_size
			lowerCAmelCase__       :      Any   					= max_position_embeddings
			lowerCAmelCase__       :      Optional[Any]   					= hidden_size
			lowerCAmelCase__       :      Optional[int]   					= num_hidden_layers
			lowerCAmelCase__       :      Dict   					= num_attention_heads
			lowerCAmelCase__       :      Any   					= intermediate_size
			lowerCAmelCase__       :      Dict   					= hidden_act
			lowerCAmelCase__       :      Optional[Any]   					= hidden_dropout_prob
			lowerCAmelCase__       :      Optional[Any]   					= attention_probs_dropout_prob
			lowerCAmelCase__       :      Dict   					= initializer_range
			lowerCAmelCase__       :      Any   					= type_vocab_size
			lowerCAmelCase__       :      Optional[int]   					= layer_norm_eps
			lowerCAmelCase__       :      Optional[int]   					= use_cache
			lowerCAmelCase__       :      List[Any]   					= enable_pronunciation
			lowerCAmelCase__       :      int   					= enable_shape
			lowerCAmelCase__       :      Tuple   					= pronunciation_embed_dim
			lowerCAmelCase__       :      int   					= pronunciation_vocab_size
			lowerCAmelCase__       :      Optional[int]   					= shape_embed_dim
			lowerCAmelCase__       :      Any   					= shape_vocab_size
			lowerCAmelCase__       :      List[Any]   					= concat_input
			lowerCAmelCase__       :      Tuple   					= position_embedding_type
			lowerCAmelCase__       :      Optional[int]   					= classifier_dropout
			super().__init__(pad_token_id=_SCREAMING_SNAKE_CASE		, **_SCREAMING_SNAKE_CASE		)



from __future__ import annotations






def 					lowerCamelCase_   (	_a     ,       _a     ,       _a     ,       _a	):  # noqa: E741




		"""simple docstring"""






		while r - l > 1:
				lowerCAmelCase__       :      Any   					= (l + r) // 2
				if v[m] >= key:
						lowerCAmelCase__       :      int   					= m
				else:
						lowerCAmelCase__       :      Tuple   					= m  # noqa: E741
		return r






def 					lowerCamelCase_   (	_a	):




		"""simple docstring"""






		if len(_a	) == 0:
				return 0

		lowerCAmelCase__       :      Optional[int]   					= [0] * len(_a	)
		lowerCAmelCase__       :      List[Any]   					= 1

		lowerCAmelCase__       :      int   					= v[0]

		for i in range(1     ,       len(_a	)	):
				if v[i] < tail[0]:
						lowerCAmelCase__       :      str   					= v[i]
				elif v[i] > tail[length - 1]:
						lowerCAmelCase__       :      Any   					= v[i]
						length += 1
				else:
						lowerCAmelCase__       :      int   					= v[i]

		return length


if __name__ == "__main__":
		import doctest

		doctest.testmod()




