





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


A__:    Union[str, Any]  	=	logging.get_logger(__name__)

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




class        _a    (    UpperCamelCase__):

      """simple docstring"""


      UpperCamelCase__  		=       """lxmert"""
      UpperCamelCase__  		=       {}






      def __init__(		self:			Any	,    __lowerCamelCase:			List[Any]=3_0522	,    __lowerCamelCase:			List[str]=768	,    __lowerCamelCase:			Optional[int]=12	,    __lowerCamelCase:			List[str]=9500	,    __lowerCamelCase:			Optional[Any]=1600	,    __lowerCamelCase:			Tuple=400	,    __lowerCamelCase:			Dict=3072	,    __lowerCamelCase:			str="gelu"	,    __lowerCamelCase:			Any=0.1	,    __lowerCamelCase:			str=0.1	,    __lowerCamelCase:			Any=512	,    __lowerCamelCase:			Union[str, Any]=2	,    __lowerCamelCase:			Dict=0.02	,    __lowerCamelCase:			str=1e-12	,    __lowerCamelCase:			List[Any]=9	,    __lowerCamelCase:			List[str]=5	,    __lowerCamelCase:			int=5	,    __lowerCamelCase:			List[str]=2048	,    __lowerCamelCase:			List[str]=4	,    __lowerCamelCase:			Dict=6.67	,    __lowerCamelCase:			str=True	,    __lowerCamelCase:			str=True	,    __lowerCamelCase:			Tuple=True	,    __lowerCamelCase:			Any=True	,    __lowerCamelCase:			Tuple=True	,    __lowerCamelCase:			Optional[int]=True	,    __lowerCamelCase:			List[Any]=True	,    **__lowerCamelCase:			Optional[Any]	,    ):
          '''simple docstring'''


          UpperCamelCase__:	List[str]					=     vocab_size
          UpperCamelCase__:	Tuple					=     hidden_size
          UpperCamelCase__:	Optional[Any]					=     num_attention_heads
          UpperCamelCase__:	str					=     hidden_act
          UpperCamelCase__:	Union[str, Any]					=     intermediate_size
          UpperCamelCase__:	Dict					=     hidden_dropout_prob
          UpperCamelCase__:	str					=     attention_probs_dropout_prob
          UpperCamelCase__:	str					=     max_position_embeddings
          UpperCamelCase__:	Optional[int]					=     type_vocab_size
          UpperCamelCase__:	Optional[int]					=     initializer_range
          UpperCamelCase__:	Any					=     layer_norm_eps
          UpperCamelCase__:	Union[str, Any]					=     num_qa_labels
          UpperCamelCase__:	Any					=     num_object_labels
          UpperCamelCase__:	int					=     num_attr_labels
          UpperCamelCase__:	Tuple					=     l_layers
          UpperCamelCase__:	Optional[int]					=     x_layers
          UpperCamelCase__:	Union[str, Any]					=     r_layers
          UpperCamelCase__:	Union[str, Any]					=     visual_feat_dim
          UpperCamelCase__:	Any					=     visual_pos_dim
          UpperCamelCase__:	Optional[Any]					=     visual_loss_normalizer
          UpperCamelCase__:	Tuple					=     task_matched
          UpperCamelCase__:	Optional[int]					=     task_mask_lm
          UpperCamelCase__:	Any					=     task_obj_predict
          UpperCamelCase__:	Tuple					=     task_qa
          UpperCamelCase__:	List[str]					=     visual_obj_loss
          UpperCamelCase__:	Union[str, Any]					=     visual_attr_loss
          UpperCamelCase__:	Any					=     visual_feat_loss
          UpperCamelCase__:	Any					=     {"vision": r_layers, "cross_encoder": x_layers, "language": l_layers}
          super().__init__(**__lowerCamelCase					)








from __future__ import annotations

A__:    List[Any]  	=	10



def 				lowerCAmelCase_ (							A_):
    UpperCamelCase__:	Tuple					=     1
    UpperCamelCase__:	str					=     max(A_)
    while placement <= max_digit:
        # declare and initialize empty buckets
        UpperCamelCase__:	list[list]					=     [[] for _ in range(A_)]
        # split list_of_ints between the buckets
        for i in list_of_ints:
            UpperCamelCase__:	Union[str, Any]					=     int((i / placement) % RADIX)
            buckets[tmp].append(A_)
        # put each buckets' contents into list_of_ints
        UpperCamelCase__:	Union[str, Any]					=     0
        for b in range(A_):
            for i in buckets[b]:
                UpperCamelCase__:	Any					=     i
                a += 1
        # move to next
        placement *= RADIX
    return list_of_ints


if __name__ == "__main__":
   import doctest

   doctest.testmod()

