




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


__lowerCAmelCase		:				int       			=		logging.get_logger(__name__)

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




class     snake_case__							(_UpperCamelCase   ):
				"""simple docstring"""



				SCREAMING_SNAKE_CASE_       :							Optional[Any]							 =					"""roc_bert"""





				def __init__(      self				:     Dict					,      __lowerCamelCase				:     List[Any]=3_05_22					,      __lowerCamelCase				:     Dict=7_68					,      __lowerCamelCase				:     Any=12					,      __lowerCamelCase				:     Optional[Any]=12					,      __lowerCamelCase				:     Optional[Any]=30_72					,      __lowerCamelCase				:     Any="gelu"					,      __lowerCamelCase				:     Optional[Any]=0.1					,      __lowerCamelCase				:     Optional[Any]=0.1					,      __lowerCamelCase				:     List[Any]=5_12					,      __lowerCamelCase				:     Optional[int]=2					,      __lowerCamelCase				:     List[Any]=0.02					,      __lowerCamelCase				:     Dict=1e-12					,      __lowerCamelCase				:     Dict=True					,      __lowerCamelCase				:     Tuple=0					,      __lowerCamelCase				:     Tuple="absolute"					,      __lowerCamelCase				:     Any=None					,      __lowerCamelCase				:     str=True					,      __lowerCamelCase				:     Tuple=True					,      __lowerCamelCase				:     str=7_68					,      __lowerCamelCase				:     Optional[int]=9_10					,      __lowerCamelCase				:     str=5_12					,      __lowerCamelCase				:     Union[str, Any]=2_48_58					,      __lowerCamelCase				:     Optional[int]=True					,      **__lowerCamelCase				:     str					,      )					->     List[Any]:
							a    =			vocab_size
							a    =			max_position_embeddings
							a    =			hidden_size
							a    =			num_hidden_layers
							a    =			num_attention_heads
							a    =			intermediate_size
							a    =			hidden_act
							a    =			hidden_dropout_prob
							a    =			attention_probs_dropout_prob
							a    =			initializer_range
							a    =			type_vocab_size
							a    =			layer_norm_eps
							a    =			use_cache
							a    =			enable_pronunciation
							a    =			enable_shape
							a    =			pronunciation_embed_dim
							a    =			pronunciation_vocab_size
							a    =			shape_embed_dim
							a    =			shape_vocab_size
							a    =			concat_input
							a    =			position_embedding_type
							a    =			classifier_dropout
							super().__init__(pad_token_id=__lowerCamelCase					,      **__lowerCamelCase							)









'''simple docstring'''



class 						lowerCAmelCase__   :



 """simple docstring"""



 def __init__(		self					:       List[Any]					,							__SCREAMING_SNAKE_CASE					:       int					,							__SCREAMING_SNAKE_CASE					:       Union[str, Any]					,							__SCREAMING_SNAKE_CASE					:       Any			)  -> Tuple:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      name
      __SCREAMING_SNAKE_CASE     =      value
      __SCREAMING_SNAKE_CASE     =      weight
 def __repr__(		self					:       str			)  -> Union[str, Any]:


      """simple docstring"""




      return f'{self.__class__.__name__}({self.name}, {self.value}, {self.weight})'
 def       UpperCAmelCase__		(		self					:       List[Any]			)  -> List[Any]:


      """simple docstring"""




      return self.value
 def       UpperCAmelCase__		(		self					:       Any			)  -> str:


      """simple docstring"""




      return self.name
 def       UpperCAmelCase__		(		self					:       Union[str, Any]			)  -> Union[str, Any]:


      """simple docstring"""




      return self.weight


 def       UpperCAmelCase__		(		self					:       int			)  -> Tuple:


      """simple docstring"""




      return self.value / self.weight







def    a__       (  a__      ,    a__      ,    a__						):




     """simple docstring"""


     __SCREAMING_SNAKE_CASE     =      []
     for i in range(len(a__						)						):
          menu.append(Things(name[i]      ,    value[i]      ,    weight[i]						)						)
     return menu







def    a__       (  a__      ,    a__      ,    a__						):




     """simple docstring"""


     __SCREAMING_SNAKE_CASE     =      sorted(a__      ,    key=a__      ,    reverse=a__						)
     __SCREAMING_SNAKE_CASE     =      []
     __SCREAMING_SNAKE_CASE   ,			__SCREAMING_SNAKE_CASE     =      0.0, 0.0
     for i in range(len(a__						)						):
          if (total_cost + items_copy[i].get_weight()) <= max_cost:
               result.append(items_copy[i]						)
               total_cost += items_copy[i].get_weight()
               total_value += items_copy[i].get_value()
     return (result, total_value)







def    a__       (  ):




     """simple docstring"""




if __name__ == "__main__":
  import doctest

  doctest.testmod()






