

def      _lowerCAmelCase(	__A   ,       __A			):
  UpperCAmelCase					      =  word.split()

  def justify(__A   ,       __A   ,       __A			) -> str:
    UpperCAmelCase					      =  max_width - width
    UpperCAmelCase					      =  len(__lowercase			)
    if len(__lowercase			) == 1:
      # if there is only word in line
      # just insert overall_spaces_count for the remainder of line
      return line[0] + " " * overall_spaces_count
    else:
      UpperCAmelCase					      =  words_count - 1
      # num_spaces_between_words_list[i] : tells you to insert
      # num_spaces_between_words_list[i] spaces
      # after word on line[i]
      UpperCAmelCase					      =  spaces_to_insert_between_words * [
          overall_spaces_count // spaces_to_insert_between_words
      ]
      UpperCAmelCase					      =  (
          overall_spaces_count % spaces_to_insert_between_words
      )
      # distribute spaces via round robin to the left words
      for i in range(__lowercase			):
        num_spaces_between_words_list[i] += 1
      UpperCAmelCase					      =  []
      for i in range(__lowercase			):
        # add the word
        aligned_words_list.append(line[i]			)
        # add the spaces to insert
        aligned_words_list.append(num_spaces_between_words_list[i] * " "			)
      # just add the last word to the sentence
      aligned_words_list.append(line[-1]			)
      # join the aligned words list to form a justified line
      return "".join(__lowercase			)

  UpperCAmelCase					      =  []
  UpperCAmelCase					      =  []
  UpperCAmelCase					      =  0
  for word in words:
    if width + len(__lowercase			) + len(__lowercase			) <= max_width:
      # keep adding words until we can fill out max_width
      # width = sum of length of all words (without overall_spaces_count)
      # len(word) = length of current word
      # len(line) = number of overall_spaces_count to insert between words
      line.append(__lowercase			)
      width += len(__lowercase			)
    else:
      # justify the line and add it to result
      answer.append(justify(__lowercase   ,       __lowercase   ,       __lowercase			)			)
      # reset new line and new width
      UpperCAmelCase					      =  [word], len(__lowercase			)
  UpperCAmelCase					      =  max_width - width - len(__lowercase			)
  answer.append(" ".join(__lowercase			) + (remaining_spaces + 1) * " "			)
  return answer


if __name__ == "__main__":
      from doctest import testmod

      testmod()






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


lowerCAmelCase__       = logging.get_logger(__name__)

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






class 						__magic_name__    (       _snake_case    ):
 UpperCAmelCase							    =						"""lxmert"""
 UpperCAmelCase							    =						{}


 def __init__(						self		: int			,						lowerCAmelCase__		: Any=3_0_5_2_2			,						lowerCAmelCase__		: List[str]=7_6_8			,						lowerCAmelCase__		: Union[str, Any]=1_2			,						lowerCAmelCase__		: List[Any]=9_5_0_0			,						lowerCAmelCase__		: Any=1_6_0_0			,						lowerCAmelCase__		: Union[str, Any]=4_0_0			,						lowerCAmelCase__		: Tuple=3_0_7_2			,						lowerCAmelCase__		: Dict="gelu"			,						lowerCAmelCase__		: Tuple=0.1			,						lowerCAmelCase__		: Tuple=0.1			,						lowerCAmelCase__		: int=5_1_2			,						lowerCAmelCase__		: List[str]=2			,						lowerCAmelCase__		: List[str]=0.02			,						lowerCAmelCase__		: str=1e-1_2			,						lowerCAmelCase__		: str=9			,						lowerCAmelCase__		: int=5			,						lowerCAmelCase__		: Optional[int]=5			,						lowerCAmelCase__		: List[Any]=2_0_4_8			,						lowerCAmelCase__		: Any=4			,						lowerCAmelCase__		: Dict=6.67			,						lowerCAmelCase__		: Any=True			,						lowerCAmelCase__		: Union[str, Any]=True			,						lowerCAmelCase__		: Any=True			,						lowerCAmelCase__		: Tuple=True			,						lowerCAmelCase__		: Optional[Any]=True			,						lowerCAmelCase__		: Optional[int]=True			,						lowerCAmelCase__		: Tuple=True			,						**lowerCAmelCase__		: List[Any]			,						)    ->      Dict:
   UpperCAmelCase					      =  vocab_size
   UpperCAmelCase					      =  hidden_size
   UpperCAmelCase					      =  num_attention_heads
   UpperCAmelCase					      =  hidden_act
   UpperCAmelCase					      =  intermediate_size
   UpperCAmelCase					      =  hidden_dropout_prob
   UpperCAmelCase					      =  attention_probs_dropout_prob
   UpperCAmelCase					      =  max_position_embeddings
   UpperCAmelCase					      =  type_vocab_size
   UpperCAmelCase					      =  initializer_range
   UpperCAmelCase					      =  layer_norm_eps
   UpperCAmelCase					      =  num_qa_labels
   UpperCAmelCase					      =  num_object_labels
   UpperCAmelCase					      =  num_attr_labels
   UpperCAmelCase					      =  l_layers
   UpperCAmelCase					      =  x_layers
   UpperCAmelCase					      =  r_layers
   UpperCAmelCase					      =  visual_feat_dim
   UpperCAmelCase					      =  visual_pos_dim
   UpperCAmelCase					      =  visual_loss_normalizer
   UpperCAmelCase					      =  task_matched
   UpperCAmelCase					      =  task_mask_lm
   UpperCAmelCase					      =  task_obj_predict
   UpperCAmelCase					      =  task_qa
   UpperCAmelCase					      =  visual_obj_loss
   UpperCAmelCase					      =  visual_attr_loss
   UpperCAmelCase					      =  visual_feat_loss
   UpperCAmelCase					      =  {"vision": r_layers, "cross_encoder": x_layers, "language": l_layers}
   super().__init__(**lowerCAmelCase__    )



