





class 					__lowerCAmelCase       :






			def __init__(self					,							__magic_name__					,							__magic_name__					,							__magic_name__    )     ->   Dict:


							'''simple docstring'''



							snake_case_						:    Any				=  name
							snake_case_						:    int				=  value
							snake_case_						:    Optional[int]				=  weight






			def __repr__(self    )     ->   Dict:


							'''simple docstring'''



							return F'''{self.__class__.__name__}({self.name}, {self.value}, {self.weight})'''






			def 			lowerCamelCase  (self    )     ->   Union[str, Any]:


							'''simple docstring'''



							return self.value






			def 			lowerCamelCase  (self    )     ->   List[str]:


							'''simple docstring'''



							return self.name






			def 			lowerCamelCase  (self    )     ->   Optional[Any]:


							'''simple docstring'''



							return self.weight






			def 			lowerCamelCase  (self    )     ->   Tuple:


							'''simple docstring'''



							return self.value / self.weight






def      lowerCamelCase_						(				_UpperCamelCase ,				_UpperCamelCase ,				_UpperCamelCase )		->						Union[str, Any]:






				"""simple docstring"""


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






def      lowerCamelCase_						(				_UpperCamelCase ,				_UpperCamelCase ,				_UpperCamelCase )		->						str:






				"""simple docstring"""


				snake_case_						:    Union[str, Any]				=  sorted(_UpperCamelCase ,				key=_UpperCamelCase ,				reverse=_UpperCamelCase )
				snake_case_						:    Any				=  []
				snake_case_			,							snake_case_						:    List[Any]				=  0.0, 0.0
				for i in range(len(_UpperCamelCase ) ):
								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      lowerCamelCase_						(				)		->						Tuple:






				"""simple docstring"""




if __name__ == "__main__":
	import doctest

	doctest.testmod()







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


lowerCAmelCase_    =				logging.get_logger(__name__)

lowerCAmelCase_    =				{
    # See all MEGATRON_BERT models at https://huggingface.co/models?filter=bert
}



class 					__lowerCAmelCase       (			_a     ):
			lowerCamelCase_     :     Any       			=      '''megatron-bert'''






			def __init__(self					,							__magic_name__=2_9056					,							__magic_name__=1024					,							__magic_name__=24					,							__magic_name__=16					,							__magic_name__=4096					,							__magic_name__="gelu"					,							__magic_name__=0.1					,							__magic_name__=0.1					,							__magic_name__=512					,							__magic_name__=2					,							__magic_name__=0.02					,							__magic_name__=1e-12					,							__magic_name__=0					,							__magic_name__="absolute"					,							__magic_name__=True					,							**__magic_name__					,							)     ->   Any:


							'''simple docstring'''



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

							snake_case_						:    Union[str, Any]				=  vocab_size
							snake_case_						:    Dict				=  hidden_size
							snake_case_						:    Dict				=  num_hidden_layers
							snake_case_						:    Optional[int]				=  num_attention_heads
							snake_case_						:    int				=  hidden_act
							snake_case_						:    List[str]				=  intermediate_size
							snake_case_						:    Dict				=  hidden_dropout_prob
							snake_case_						:    str				=  attention_probs_dropout_prob
							snake_case_						:    str				=  max_position_embeddings
							snake_case_						:    Any				=  type_vocab_size
							snake_case_						:    int				=  initializer_range
							snake_case_						:    int				=  layer_norm_eps
							snake_case_						:    List[str]				=  position_embedding_type
							snake_case_						:    Dict				=  use_cache
