






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


lowerCAmelCase_     =			logging.get_logger(__name__)

lowerCAmelCase_     =			{
    'bert-base-uncased': 'https://huggingface.co/bert-base-uncased/resolve/main/config.json',
    # QDQBERT models can be loaded from any BERT checkpoint, available at https://huggingface.co/models?filter=bert
}
class   UpperCamelCase			(					snake_case__			):







		"""simple docstring"""



		snake_case			 = "qdqbert"
		def __init__(	self		:							Tuple    ,_SCREAMING_SNAKE_CASE		:							List[Any]=3_0_5_2_2    ,_SCREAMING_SNAKE_CASE		:							List[Any]=7_6_8    ,_SCREAMING_SNAKE_CASE		:							Union[str, Any]=1_2    ,_SCREAMING_SNAKE_CASE		:							Optional[Any]=1_2    ,_SCREAMING_SNAKE_CASE		:							List[str]=3_0_7_2    ,_SCREAMING_SNAKE_CASE		:							Optional[int]="gelu"    ,_SCREAMING_SNAKE_CASE		:							str=0.1    ,_SCREAMING_SNAKE_CASE		:							Optional[Any]=0.1    ,_SCREAMING_SNAKE_CASE		:							Optional[Any]=5_1_2    ,_SCREAMING_SNAKE_CASE		:							str=2    ,_SCREAMING_SNAKE_CASE		:							Dict=0.02    ,_SCREAMING_SNAKE_CASE		:							Tuple=1E-12    ,_SCREAMING_SNAKE_CASE		:							Optional[Any]=True    ,_SCREAMING_SNAKE_CASE		:							Optional[int]=1    ,_SCREAMING_SNAKE_CASE		:							int=0    ,_SCREAMING_SNAKE_CASE		:							str=2    ,**_SCREAMING_SNAKE_CASE		:							Any    ,)     -> List[str]:


						'''simple docstring'''
						super().__init__(pad_token_id=_SCREAMING_SNAKE_CASE    ,bos_token_id=_SCREAMING_SNAKE_CASE    ,eos_token_id=_SCREAMING_SNAKE_CASE    ,**_SCREAMING_SNAKE_CASE		)

						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













from __future__ import annotations







def   snake_case		(				UpperCAmelCase						:							int,    UpperCAmelCase						:							list[int],    UpperCAmelCase						:							list[int],    UpperCAmelCase						:							int ):

				# Base Case
				if counter == 0 or capacity == 0:
								return 0

				# If weight of the nth item is more than Knapsack of capacity,
				#   then this item cannot be included in the optimal solution,
				# else return the maximum of two cases:
				#   (1) nth item included
				#   (2) not included
				if weights[counter - 1] > capacity:
								return knapsack(UpperCAmelCase,    UpperCAmelCase,    UpperCAmelCase,    counter - 1 )
				else:
								A									=   capacity - weights[counter - 1]
								A									=   values[counter - 1] + knapsack(
								    UpperCAmelCase,    UpperCAmelCase,    UpperCAmelCase,    counter - 1 )
								A									=   knapsack(UpperCAmelCase,    UpperCAmelCase,    UpperCAmelCase,    counter - 1 )
								return max(UpperCAmelCase,    UpperCAmelCase )


if __name__ == "__main__":
					import doctest

					doctest.testmod()





