
"""simple docstring"""






from ...configuration_utils import PretrainedConfig
from ...utils import is_detectrona_available, logging


UpperCAmelCase          =							logging.get_logger(__name__)

UpperCAmelCase          =							{
    """layoutlmv2-base-uncased""": """https://huggingface.co/microsoft/layoutlmv2-base-uncased/resolve/main/config.json""",
    """layoutlmv2-large-uncased""": """https://huggingface.co/microsoft/layoutlmv2-large-uncased/resolve/main/config.json""",
    # See all LayoutLMv2 models at https://huggingface.co/models?filter=layoutlmv2
}

# soft dependency
if is_detectrona_available():
					import detectrona



class  lowercase				(   lowercase__		):
			lowercase			     =    '''layoutlmv2'''






			def __init__(self     :  List[str]			,SCREAMING_SNAKE_CASE_     :  Tuple=30_522			,SCREAMING_SNAKE_CASE_     :  int=768			,SCREAMING_SNAKE_CASE_     :  Optional[Any]=12			,SCREAMING_SNAKE_CASE_     :  Optional[Any]=12			,SCREAMING_SNAKE_CASE_     :  Union[str, Any]=3_072			,SCREAMING_SNAKE_CASE_     :  Union[str, Any]="gelu"			,SCREAMING_SNAKE_CASE_     :  List[Any]=0.1			,SCREAMING_SNAKE_CASE_     :  List[str]=0.1			,SCREAMING_SNAKE_CASE_     :  Tuple=512			,SCREAMING_SNAKE_CASE_     :  List[str]=2			,SCREAMING_SNAKE_CASE_     :  Dict=0.02			,SCREAMING_SNAKE_CASE_     :  List[Any]=1e-12			,SCREAMING_SNAKE_CASE_     :  Union[str, Any]=0			,SCREAMING_SNAKE_CASE_     :  Tuple=1_024			,SCREAMING_SNAKE_CASE_     :  Union[str, Any]=128			,SCREAMING_SNAKE_CASE_     :  Dict=32			,SCREAMING_SNAKE_CASE_     :  Any=True			,SCREAMING_SNAKE_CASE_     :  Dict=256			,SCREAMING_SNAKE_CASE_     :  Optional[int]=64			,SCREAMING_SNAKE_CASE_     :  List[str]=True			,SCREAMING_SNAKE_CASE_     :  List[str]=[7, 7, 256]			,SCREAMING_SNAKE_CASE_     :  str=128			,SCREAMING_SNAKE_CASE_     :  Tuple=128			,SCREAMING_SNAKE_CASE_     :  Tuple=True			,SCREAMING_SNAKE_CASE_     :  str=True			,SCREAMING_SNAKE_CASE_     :  Tuple=False			,SCREAMING_SNAKE_CASE_     :  Any=None			,**SCREAMING_SNAKE_CASE_     :  str			,)					->  Any:





				"""simple docstring"""


				super().__init__(
				    vocab_size=SCREAMING_SNAKE_CASE_			,hidden_size=SCREAMING_SNAKE_CASE_			,num_hidden_layers=SCREAMING_SNAKE_CASE_			,num_attention_heads=SCREAMING_SNAKE_CASE_			,intermediate_size=SCREAMING_SNAKE_CASE_			,hidden_act=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_			,pad_token_id=SCREAMING_SNAKE_CASE_			,**SCREAMING_SNAKE_CASE_			,)
				lowerCAmelCase				       =     max_ad_position_embeddings
				lowerCAmelCase				       =     max_rel_pos
				lowerCAmelCase				       =     rel_pos_bins
				lowerCAmelCase				       =     fast_qkv
				lowerCAmelCase				       =     max_rel_ad_pos
				lowerCAmelCase				       =     rel_ad_pos_bins
				lowerCAmelCase				       =     convert_sync_batchnorm
				lowerCAmelCase				       =     image_feature_pool_shape
				lowerCAmelCase				       =     coordinate_size
				lowerCAmelCase				       =     shape_size
				lowerCAmelCase				       =     has_relative_attention_bias
				lowerCAmelCase				       =     has_spatial_attention_bias
				lowerCAmelCase				       =     has_visual_segment_embedding
				lowerCAmelCase				       =     (
				    detectrona_config_args if detectrona_config_args is not None else self.get_default_detectrona_config()
				)






			@classmethod
			def 				UpperCAmelCase       (self     :  Any )					->  int:





				"""simple docstring"""


				return {
				    "MODEL.MASK_ON": True,
				    "MODEL.PIXEL_STD": [57.3_75, 57.1_20, 58.3_95],
				    "MODEL.BACKBONE.NAME": "build_resnet_fpn_backbone",
				    "MODEL.FPN.IN_FEATURES": ["res2", "res3", "res4", "res5"],
				    "MODEL.ANCHOR_GENERATOR.SIZES": [[32], [64], [128], [256], [512]],
				    "MODEL.RPN.IN_FEATURES": ["p2", "p3", "p4", "p5", "p6"],
				    "MODEL.RPN.PRE_NMS_TOPK_TRAIN": 2_000,
				    "MODEL.RPN.PRE_NMS_TOPK_TEST": 1_000,
				    "MODEL.RPN.POST_NMS_TOPK_TRAIN": 1_000,
				    "MODEL.POST_NMS_TOPK_TEST": 1_000,
				    "MODEL.ROI_HEADS.NAME": "StandardROIHeads",
				    "MODEL.ROI_HEADS.NUM_CLASSES": 5,
				    "MODEL.ROI_HEADS.IN_FEATURES": ["p2", "p3", "p4", "p5"],
				    "MODEL.ROI_BOX_HEAD.NAME": "FastRCNNConvFCHead",
				    "MODEL.ROI_BOX_HEAD.NUM_FC": 2,
				    "MODEL.ROI_BOX_HEAD.POOLER_RESOLUTION": 14,
				    "MODEL.ROI_MASK_HEAD.NAME": "MaskRCNNConvUpsampleHead",
				    "MODEL.ROI_MASK_HEAD.NUM_CONV": 4,
				    "MODEL.ROI_MASK_HEAD.POOLER_RESOLUTION": 7,
				    "MODEL.RESNETS.DEPTH": 101,
				    "MODEL.RESNETS.SIZES": [[32], [64], [128], [256], [512]],
				    "MODEL.RESNETS.ASPECT_RATIOS": [[0.5, 1.0, 2.0]],
				    "MODEL.RESNETS.OUT_FEATURES": ["res2", "res3", "res4", "res5"],
				    "MODEL.RESNETS.NUM_GROUPS": 32,
				    "MODEL.RESNETS.WIDTH_PER_GROUP": 8,
				    "MODEL.RESNETS.STRIDE_IN_1X1": False,
				}






			def 				UpperCAmelCase       (self     :  Union[str, Any] )					->  int:





				"""simple docstring"""


				lowerCAmelCase				       =     detectrona.config.get_cfg()
				for k, v in self.detectrona_config_args.items():
					lowerCAmelCase				       =     k.split('''.''' )
					lowerCAmelCase				       =     detectrona_config
					for attribute in attributes[:-1]:
						lowerCAmelCase				       =     getattr(SCREAMING_SNAKE_CASE_			,SCREAMING_SNAKE_CASE_ )
					setattr(SCREAMING_SNAKE_CASE_			,attributes[-1]			,SCREAMING_SNAKE_CASE_ )

				return detectrona_config




"""simple docstring"""






def __magic_name__  (							_lowerCamelCase:		list[int] )				->	int:

	'''simple docstring'''




	lowerCAmelCase				       =     len(_lowerCamelCase )
	if n in (0, 1):
		return 0
	return sum(query * (n - i - 1) for i, query in enumerate(sorted(_lowerCamelCase ) ) )


if __name__ == "__main__":
					import doctest

					doctest.testmod()


