




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


lowerCamelCase__ :   List[Any]					=							logging.get_logger(__name__)

lowerCamelCase__ :   Optional[Any]					=							{
    'weiweishi/roc-bert-base-zh': 'https://huggingface.co/weiweishi/roc-bert-base-zh/resolve/main/config.json',
}





class        lowerCamelCase_							(      __UpperCamelCase					):


 '''simple docstring'''







 lowercase_				    =    'roc_bert'



 def __init__(							self  :		Optional[int]				,				_lowerCAmelCase  :		Any=30_522				,				_lowerCAmelCase  :		Any=768				,				_lowerCAmelCase  :		Dict=12				,				_lowerCAmelCase  :		Tuple=12				,				_lowerCAmelCase  :		List[Any]=3_072				,				_lowerCAmelCase  :		Dict="gelu"				,				_lowerCAmelCase  :		List[str]=0.1				,				_lowerCAmelCase  :		Optional[Any]=0.1				,				_lowerCAmelCase  :		List[str]=512				,				_lowerCAmelCase  :		Optional[Any]=2				,				_lowerCAmelCase  :		Optional[int]=0.02				,				_lowerCAmelCase  :		Optional[Any]=1E-12				,				_lowerCAmelCase  :		Dict=True				,				_lowerCAmelCase  :		int=0				,				_lowerCAmelCase  :		List[Any]="absolute"				,				_lowerCAmelCase  :		Union[str, Any]=None				,				_lowerCAmelCase  :		Any=True				,				_lowerCAmelCase  :		Union[str, Any]=True				,				_lowerCAmelCase  :		Any=768				,				_lowerCAmelCase  :		List[Any]=910				,				_lowerCAmelCase  :		Any=512				,				_lowerCAmelCase  :		Dict=24_858				,				_lowerCAmelCase  :		int=True				,				**_lowerCAmelCase  :		List[Any]				,				):
       SCREAMING_SNAKE_CASE_							=			vocab_size
       SCREAMING_SNAKE_CASE_							=			max_position_embeddings
       SCREAMING_SNAKE_CASE_							=			hidden_size
       SCREAMING_SNAKE_CASE_							=			num_hidden_layers
       SCREAMING_SNAKE_CASE_							=			num_attention_heads
       SCREAMING_SNAKE_CASE_							=			intermediate_size
       SCREAMING_SNAKE_CASE_							=			hidden_act
       SCREAMING_SNAKE_CASE_							=			hidden_dropout_prob
       SCREAMING_SNAKE_CASE_							=			attention_probs_dropout_prob
       SCREAMING_SNAKE_CASE_							=			initializer_range
       SCREAMING_SNAKE_CASE_							=			type_vocab_size
       SCREAMING_SNAKE_CASE_							=			layer_norm_eps
       SCREAMING_SNAKE_CASE_							=			use_cache
       SCREAMING_SNAKE_CASE_							=			enable_pronunciation
       SCREAMING_SNAKE_CASE_							=			enable_shape
       SCREAMING_SNAKE_CASE_							=			pronunciation_embed_dim
       SCREAMING_SNAKE_CASE_							=			pronunciation_vocab_size
       SCREAMING_SNAKE_CASE_							=			shape_embed_dim
       SCREAMING_SNAKE_CASE_							=			shape_vocab_size
       SCREAMING_SNAKE_CASE_							=			concat_input
       SCREAMING_SNAKE_CASE_							=			position_embedding_type
       SCREAMING_SNAKE_CASE_							=			classifier_dropout
       super().__init__(pad_token_id=lowerCAmelCase__				,				**lowerCAmelCase__						)



from __future__ import annotations




def    snake_case_     (  snake_case			,							snake_case     )  ->				bool:
       if len(snake_case     ) == 0:
              return False
       lowercase__:   Any  			=   len(snake_case     ) // 2
       if a_list[midpoint] == item:
              return True
       if item < a_list[midpoint]:
              return binary_search(a_list[:midpoint]			,							snake_case     )
       else:
              return binary_search(a_list[midpoint + 1 :]			,							snake_case     )


if __name__ == "__main__":
 __lowerCAmelCase		       =							input('''Enter numbers separated by comma:\n''').strip()
 __lowerCAmelCase		       =							[int(item.strip()) for item in user_input.split(''',''')]
 __lowerCAmelCase		       =							int(input('''Enter the number to be found in the list:\n''').strip())
 __lowerCAmelCase		       =							'''''' if binary_search(sequence, target) else '''not '''
 print(F'''{target} was {not_str}found in {sequence}''')


