"""simple docstring"""


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


a							=logging.get_logger(__name__)

a							={
    '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        __UpperCAmelCase						(     __lowerCAmelCase     ):
				A__				:       List[str]  							=	'''layoutlmv2'''

				def __init__(				self     ,			_lowerCamelCase=30522     ,			_lowerCamelCase=768     ,			_lowerCamelCase=12     ,			_lowerCamelCase=12     ,			_lowerCamelCase=3072     ,			_lowerCamelCase="gelu"     ,			_lowerCamelCase=0.1     ,			_lowerCamelCase=0.1     ,			_lowerCamelCase=512     ,			_lowerCamelCase=2     ,			_lowerCamelCase=0.0_2     ,			_lowerCamelCase=1E-12     ,			_lowerCamelCase=0     ,			_lowerCamelCase=1024     ,			_lowerCamelCase=128     ,			_lowerCamelCase=32     ,			_lowerCamelCase=True     ,			_lowerCamelCase=256     ,			_lowerCamelCase=64     ,			_lowerCamelCase=True     ,			_lowerCamelCase=[7, 7, 256]     ,			_lowerCamelCase=128     ,			_lowerCamelCase=128     ,			_lowerCamelCase=True     ,			_lowerCamelCase=True     ,			_lowerCamelCase=False     ,			_lowerCamelCase=None     ,			**_lowerCamelCase     ,			):
										super().__init__(
										    vocab_size=_lowerCamelCase     ,			hidden_size=_lowerCamelCase     ,			num_hidden_layers=_lowerCamelCase     ,			num_attention_heads=_lowerCamelCase     ,			intermediate_size=_lowerCamelCase     ,			hidden_act=_lowerCamelCase     ,			hidden_dropout_prob=_lowerCamelCase     ,			attention_probs_dropout_prob=_lowerCamelCase     ,			max_position_embeddings=_lowerCamelCase     ,			type_vocab_size=_lowerCamelCase     ,			initializer_range=_lowerCamelCase     ,			layer_norm_eps=_lowerCamelCase     ,			pad_token_id=_lowerCamelCase     ,			**_lowerCamelCase     ,			)
										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 		_a     (				self				):
										return {
										    "MODEL.MASK_ON": True,
										    "MODEL.PIXEL_STD": [5_7.3_7_5, 5_7.1_2_0, 5_8.3_9_5],
										    "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": 2000,
										    "MODEL.RPN.PRE_NMS_TOPK_TEST": 1000,
										    "MODEL.RPN.POST_NMS_TOPK_TRAIN": 1000,
										    "MODEL.POST_NMS_TOPK_TEST": 1000,
										    "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 		_a     (				self				):
										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(_lowerCamelCase     ,			_lowerCamelCase				)
																setattr(_lowerCamelCase     ,			attributes[-1]     ,			_lowerCamelCase				)

										return detectrona_config



"""simple docstring"""


from __future__ import annotations

from enum import Enum






class        __UpperCAmelCase						(     __lowerCAmelCase     ):
				A__				:       List[Any]  							=	2_4
				A__				:       List[str]  							=	2_1
				A__				:       List[Any]  							=	1_8
				A__				:       Optional[Any]  							=	1_5
				A__				:       List[Any]  							=	1_2
				A__				:       Optional[int]  							=	9
				A__				:       List[Any]  							=	6
				A__				:       int  							=	3
				A__				:       Optional[int]  							=	2
				A__				:       int  							=	1
				A__				:       Optional[int]  							=	-1
				A__				:       Dict  							=	-2
				A__				:       Optional[Any]  							=	-3
				A__				:       str  							=	-6
				A__				:       Union[str, Any]  							=	-9
				A__				:       Optional[Any]  							=	-1_2
				A__				:       int  							=	-1_5
				A__				:       Union[str, Any]  							=	-1_8
				A__				:       Any  							=	-2_1
				A__				:       Union[str, Any]  							=	-2_4






class        __UpperCAmelCase						(     __lowerCAmelCase     ):
				A__				:       Optional[int]  							=	8
				A__				:       Any  							=	7
				A__				:       Any  							=	6
				A__				:       Tuple  							=	5
				A__				:       Optional[Any]  							=	4
				A__				:       str  							=	3
				A__				:       Dict  							=	2
				A__				:       Tuple  							=	1





def       lowerCamelCase_			( __lowerCAmelCase       ,   __lowerCAmelCase       ,   __lowerCAmelCase       ,   )							-> float:




						'''simple docstring'''



						if isinstance(__lowerCAmelCase       ,   __lowerCAmelCase    ):
												lowerCamelCase__ =SIUnit[known_prefix.lower()]
						if isinstance(__lowerCAmelCase       ,   __lowerCAmelCase    ):
												lowerCamelCase__ =SIUnit[unknown_prefix.lower()]
						lowerCamelCase__ =known_amount * (
						    10 ** (known_prefix.value - unknown_prefix.value)
						)
						return unknown_amount





def       lowerCamelCase_			( __lowerCAmelCase       ,   __lowerCAmelCase       ,   __lowerCAmelCase       ,   )							-> float:




						'''simple docstring'''



						if isinstance(__lowerCAmelCase       ,   __lowerCAmelCase    ):
												lowerCamelCase__ =BinaryUnit[known_prefix.lower()]
						if isinstance(__lowerCAmelCase       ,   __lowerCAmelCase    ):
												lowerCamelCase__ =BinaryUnit[unknown_prefix.lower()]
						lowerCamelCase__ =known_amount * (
						    2 ** ((known_prefix.value - unknown_prefix.value) * 10)
						)
						return unknown_amount


if __name__ == "__main__":
	import doctest

	doctest.testmod()


