





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


SCREAMING_SNAKE_CASE_						       =	logging.get_logger(__name__)

SCREAMING_SNAKE_CASE_						       =	{
    """unc-nlp/lxmert-base-uncased""": """https://huggingface.co/unc-nlp/lxmert-base-uncased/resolve/main/config.json""",
}

class 		UpperCamelCase__			(				lowerCAmelCase_       ):



     '''simple docstring'''

     __snake_case   :     Optional[Any]		     =      "lxmert"
     __snake_case   :     Any		     =      {}






     def __init__(							self						:   Any						,lowerCamelCase__						:   Tuple=30522						,lowerCamelCase__						:   Optional[int]=768						,lowerCamelCase__						:   str=12						,lowerCamelCase__						:   Any=9500						,lowerCamelCase__						:   List[str]=1600						,lowerCamelCase__						:   List[Any]=400						,lowerCamelCase__						:   List[Any]=3072						,lowerCamelCase__						:   List[str]="gelu"						,lowerCamelCase__						:   Optional[int]=0.1						,lowerCamelCase__						:   Tuple=0.1						,lowerCamelCase__						:   Dict=512						,lowerCamelCase__						:   Optional[Any]=2						,lowerCamelCase__						:   str=0.02						,lowerCamelCase__						:   Any=1e-1_2						,lowerCamelCase__						:   Any=9						,lowerCamelCase__						:   Union[str, Any]=5						,lowerCamelCase__						:   Tuple=5						,lowerCamelCase__						:   Dict=2048						,lowerCamelCase__						:   List[str]=4						,lowerCamelCase__						:   Optional[Any]=6.67						,lowerCamelCase__						:   Union[str, Any]=True						,lowerCamelCase__						:   List[Any]=True						,lowerCamelCase__						:   List[Any]=True						,lowerCamelCase__						:   Any=True						,lowerCamelCase__						:   str=True						,lowerCamelCase__						:   Dict=True						,lowerCamelCase__						:   Optional[int]=True						,**lowerCamelCase__						:   Optional[Any]						,)					->		Optional[Any]:




           '''simple docstring'''


           SCREAMING_SNAKE_CASE		=						vocab_size
           SCREAMING_SNAKE_CASE		=						hidden_size
           SCREAMING_SNAKE_CASE		=						num_attention_heads
           SCREAMING_SNAKE_CASE		=						hidden_act
           SCREAMING_SNAKE_CASE		=						intermediate_size
           SCREAMING_SNAKE_CASE		=						hidden_dropout_prob
           SCREAMING_SNAKE_CASE		=						attention_probs_dropout_prob
           SCREAMING_SNAKE_CASE		=						max_position_embeddings
           SCREAMING_SNAKE_CASE		=						type_vocab_size
           SCREAMING_SNAKE_CASE		=						initializer_range
           SCREAMING_SNAKE_CASE		=						layer_norm_eps
           SCREAMING_SNAKE_CASE		=						num_qa_labels
           SCREAMING_SNAKE_CASE		=						num_object_labels
           SCREAMING_SNAKE_CASE		=						num_attr_labels
           SCREAMING_SNAKE_CASE		=						l_layers
           SCREAMING_SNAKE_CASE		=						x_layers
           SCREAMING_SNAKE_CASE		=						r_layers
           SCREAMING_SNAKE_CASE		=						visual_feat_dim
           SCREAMING_SNAKE_CASE		=						visual_pos_dim
           SCREAMING_SNAKE_CASE		=						visual_loss_normalizer
           SCREAMING_SNAKE_CASE		=						task_matched
           SCREAMING_SNAKE_CASE		=						task_mask_lm
           SCREAMING_SNAKE_CASE		=						task_obj_predict
           SCREAMING_SNAKE_CASE		=						task_qa
           SCREAMING_SNAKE_CASE		=						visual_obj_loss
           SCREAMING_SNAKE_CASE		=						visual_attr_loss
           SCREAMING_SNAKE_CASE		=						visual_feat_loss
           SCREAMING_SNAKE_CASE		=						{"""vision""": r_layers, """cross_encoder""": x_layers, """language""": l_layers}
           super().__init__(**lowerCamelCase__	)









def        __lowercase       (				_SCREAMING_SNAKE_CASE			,						_SCREAMING_SNAKE_CASE			,						_SCREAMING_SNAKE_CASE			,						_SCREAMING_SNAKE_CASE			,						_SCREAMING_SNAKE_CASE     )			->       int:


      '''simple docstring'''


      if index == number_of_items:
            return 0
      SCREAMING_SNAKE_CASE		=						0
      SCREAMING_SNAKE_CASE		=						0
      SCREAMING_SNAKE_CASE		=						knapsack(_SCREAMING_SNAKE_CASE			,						_SCREAMING_SNAKE_CASE			,						_SCREAMING_SNAKE_CASE			,						_SCREAMING_SNAKE_CASE			,						index + 1     )
      if weights[index] <= max_weight:
            SCREAMING_SNAKE_CASE		=						values[index] + knapsack(
                _SCREAMING_SNAKE_CASE			,						_SCREAMING_SNAKE_CASE			,						_SCREAMING_SNAKE_CASE			,						max_weight - weights[index]			,						index + 1     )
      return max(_SCREAMING_SNAKE_CASE			,						_SCREAMING_SNAKE_CASE     )


if __name__ == "__main__":
      import doctest

      doctest.testmod()


