





"""simple docstring"""





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


_UpperCamelCase					      =   logging.get_logger(__name__)

_UpperCamelCase					      =   {
    'unc-nlp/lxmert-base-uncased': 'https://huggingface.co/unc-nlp/lxmert-base-uncased/resolve/main/config.json',
}
class 		SCREAMING_SNAKE_CASE_				(     snake_case__ ):
				"""simple docstring"""
				__snake_case :							Dict									=		"""lxmert"""
				__snake_case :							Union[str, Any]									=		{}




				def __init__(  self	:List[str]    ,     __lowercase	:Union[str, Any]=3_0522    ,     __lowercase	:Any=768    ,     __lowercase	:List[str]=12    ,     __lowercase	:str=9500    ,     __lowercase	:Optional[Any]=1600    ,     __lowercase	:str=400    ,     __lowercase	:int=3072    ,     __lowercase	:Any="gelu"    ,     __lowercase	:Optional[int]=0.1    ,     __lowercase	:Any=0.1    ,     __lowercase	:List[str]=512    ,     __lowercase	:List[str]=2    ,     __lowercase	:Union[str, Any]=0.02    ,     __lowercase	:Optional[int]=1e-1_2    ,     __lowercase	:Dict=9    ,     __lowercase	:Union[str, Any]=5    ,     __lowercase	:Any=5    ,     __lowercase	:Optional[Any]=2048    ,     __lowercase	:List[Any]=4    ,     __lowercase	:List[Any]=6.67    ,     __lowercase	:Dict=True    ,     __lowercase	:Optional[int]=True    ,     __lowercase	:int=True    ,     __lowercase	:Optional[Any]=True    ,     __lowercase	:List[Any]=True    ,     __lowercase	:Optional[Any]=True    ,     __lowercase	:int=True    ,     **__lowercase	:Dict    ,     ):
											__lowerCamelCase   :   List[str]       =vocab_size
											__lowerCamelCase   :   List[str]       =hidden_size
											__lowerCamelCase   :   Any       =num_attention_heads
											__lowerCamelCase   :   Optional[int]       =hidden_act
											__lowerCamelCase   :   Union[str, Any]       =intermediate_size
											__lowerCamelCase   :   List[Any]       =hidden_dropout_prob
											__lowerCamelCase   :   Union[str, Any]       =attention_probs_dropout_prob
											__lowerCamelCase   :   Any       =max_position_embeddings
											__lowerCamelCase   :   List[Any]       =type_vocab_size
											__lowerCamelCase   :   Dict       =initializer_range
											__lowerCamelCase   :   Optional[int]       =layer_norm_eps
											__lowerCamelCase   :   Optional[Any]       =num_qa_labels
											__lowerCamelCase   :   List[Any]       =num_object_labels
											__lowerCamelCase   :   Optional[int]       =num_attr_labels
											__lowerCamelCase   :   str       =l_layers
											__lowerCamelCase   :   List[Any]       =x_layers
											__lowerCamelCase   :   List[Any]       =r_layers
											__lowerCamelCase   :   List[str]       =visual_feat_dim
											__lowerCamelCase   :   Union[str, Any]       =visual_pos_dim
											__lowerCamelCase   :   Optional[Any]       =visual_loss_normalizer
											__lowerCamelCase   :   Dict       =task_matched
											__lowerCamelCase   :   str       =task_mask_lm
											__lowerCamelCase   :   List[str]       =task_obj_predict
											__lowerCamelCase   :   int       =task_qa
											__lowerCamelCase   :   Dict       =visual_obj_loss
											__lowerCamelCase   :   Dict       =visual_attr_loss
											__lowerCamelCase   :   Any       =visual_feat_loss
											__lowerCamelCase   :   Union[str, Any]       ={'''vision''': r_layers, '''cross_encoder''': x_layers, '''language''': l_layers}
											super().__init__(**__lowercase      )











"""simple docstring"""





from __future__ import annotations



def 					lowerCAmelCase_      (   SCREAMING_SNAKE_CASE							:				list[int | str] ):


							'''simple docstring'''







							create_state_space_tree(SCREAMING_SNAKE_CASE     ,    []     ,    0     ,    [0 for i in range(len(SCREAMING_SNAKE_CASE ) )] )



def 					lowerCAmelCase_      (   SCREAMING_SNAKE_CASE							:				list[int | str]     ,    SCREAMING_SNAKE_CASE							:				list[int | str]     ,    SCREAMING_SNAKE_CASE							:				int     ,    SCREAMING_SNAKE_CASE							:				list[int]     ,    ):


							'''simple docstring'''







							if index == len(SCREAMING_SNAKE_CASE ):
														print(SCREAMING_SNAKE_CASE )
														return

							for i in range(len(SCREAMING_SNAKE_CASE ) ):
														if not index_used[i]:
																					current_sequence.append(sequence[i] )
																					__lowerCamelCase   :   List[Any]       =True
																					create_state_space_tree(SCREAMING_SNAKE_CASE     ,    SCREAMING_SNAKE_CASE     ,    index + 1     ,    SCREAMING_SNAKE_CASE )
																					current_sequence.pop()
																					__lowerCamelCase   :   List[Any]       =False
_UpperCamelCase					      =   [3, 1, 2, 4]
generate_all_permutations(sequence)

_UpperCamelCase					      =   ["A", "B", "C"]
generate_all_permutations(sequence_a)




