code: 
  '''simple docstring'''
  from ...configuration_utils import PretrainedConfig
  from ...utils import is_detectrona_available, logging
  
  
  lowercase__						=			logging.get_logger(__name__)
  
  lowercase__						=			{
      "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   snake_case__					(			__SCREAMING_SNAKE_CASE				):
  
  
  
  
  
  
  
  		"""simple docstring"""
  
  		lowerCamelCase           =	"""layoutlmv2"""
  
  
  
  		def __init__(			self							: List[str]     ,  UpperCamelCase__							: str=3_0522     ,  UpperCamelCase__							: Any=768     ,  UpperCamelCase__							: Dict=12     ,  UpperCamelCase__							: List[str]=12     ,  UpperCamelCase__							: Optional[int]=3072     ,  UpperCamelCase__							: List[Any]="gelu"     ,  UpperCamelCase__							: Optional[int]=0.1     ,  UpperCamelCase__							: str=0.1     ,  UpperCamelCase__							: Optional[Any]=512     ,  UpperCamelCase__							: int=2     ,  UpperCamelCase__							: List[Any]=0.02     ,  UpperCamelCase__							: Optional[int]=1e-1_2     ,  UpperCamelCase__							: Union[str, Any]=0     ,  UpperCamelCase__							: int=1024     ,  UpperCamelCase__							: List[Any]=128     ,  UpperCamelCase__							: List[str]=32     ,  UpperCamelCase__							: Optional[int]=True     ,  UpperCamelCase__							: List[str]=256     ,  UpperCamelCase__							: List[str]=64     ,  UpperCamelCase__							: Dict=True     ,  UpperCamelCase__							: Tuple=[7, 7, 256]     ,  UpperCamelCase__							: Optional[Any]=128     ,  UpperCamelCase__							: int=128     ,  UpperCamelCase__							: Union[str, Any]=True     ,  UpperCamelCase__							: Any=True     ,  UpperCamelCase__							: Optional[int]=False     ,  UpperCamelCase__							: List[str]=None     ,  **UpperCamelCase__							: str     ,  )	-> Any:
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  
  				super().__init__(
  				    vocab_size=UpperCamelCase__     ,  hidden_size=UpperCamelCase__     ,  num_hidden_layers=UpperCamelCase__     ,  num_attention_heads=UpperCamelCase__     ,  intermediate_size=UpperCamelCase__     ,  hidden_act=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__     ,  pad_token_id=UpperCamelCase__     ,  **UpperCamelCase__     ,  )
  				snake_case     :					Optional[int]     =	max_ad_position_embeddings
  				snake_case     :					Optional[int]     =	max_rel_pos
  				snake_case     :					Optional[Any]     =	rel_pos_bins
  				snake_case     :					int     =	fast_qkv
  				snake_case     :					int     =	max_rel_ad_pos
  				snake_case     :					str     =	rel_ad_pos_bins
  				snake_case     :					Optional[int]     =	convert_sync_batchnorm
  				snake_case     :					Any     =	image_feature_pool_shape
  				snake_case     :					Optional[int]     =	coordinate_size
  				snake_case     :					Union[str, Any]     =	shape_size
  				snake_case     :					Optional[int]     =	has_relative_attention_bias
  				snake_case     :					str     =	has_spatial_attention_bias
  				snake_case     :					Any     =	has_visual_segment_embedding
  				snake_case     :					Union[str, Any]     =	(
  				    detectrona_config_args if detectrona_config_args is not None else self.get_default_detectrona_config()
  				)
  
  
  
  		@classmethod
  		def 			lowerCAmelCase							(			self							: Optional[int]			)	-> Any:
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  
  				return {
  				    "MODEL.MASK_ON": True,
  				    "MODEL.PIXEL_STD": [57.375, 57.120, 58.395],
  				    "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 			lowerCAmelCase							(			self							: Any			)	-> str:
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  
  				snake_case     :					int     =	detectrona.config.get_cfg()
  				for k, v in self.detectrona_config_args.items():
  						snake_case     :					Optional[int]     =	k.split('''.'''			)
  						snake_case     :					Optional[Any]     =	detectrona_config
  						for attribute in attributes[:-1]:
  								snake_case     :					List[Any]     =	getattr(UpperCamelCase__     ,  UpperCamelCase__			)
  						setattr(UpperCamelCase__     ,  attributes[-1]     ,  UpperCamelCase__			)
  
  				return detectrona_config
  
  
  
style_context: 
  '''simple docstring'''
  import itertools
  from pathlib import Path
  
  
  
  
  def       _UpperCamelCase	(					SCREAMING_SNAKE_CASE__ )     ->       int:
  
  
  		'''simple docstring'''
  
  
  		snake_case     :					Optional[Any]     =	[tuple(SCREAMING_SNAKE_CASE__ ) for login in logins]
  
  		snake_case     :					Dict     =	{char for login in split_logins for char in login}
  
  		for permutation in itertools.permutations(SCREAMING_SNAKE_CASE__ ):
  				snake_case     :					Optional[int]     =	True
  				for login in logins:
  						if not (
  						    permutation.index(login[0] )
  						    < permutation.index(login[1] )
  						    < permutation.index(login[2] )
  						):
  								snake_case     :					int     =	False
  								break
  
  				if satisfied:
  						return int(''''''.join(SCREAMING_SNAKE_CASE__ ) )
  
  		raise Exception('''Unable to find the secret passcode''' )
  
  
  
  
  def       _UpperCamelCase	(					SCREAMING_SNAKE_CASE__ = "keylog.txt" )     ->       int:
  
  
  		'''simple docstring'''
  
  
  		snake_case     :					Optional[Any]     =	Path(SCREAMING_SNAKE_CASE__ ).parent.joinpath(SCREAMING_SNAKE_CASE__ ).read_text().splitlines()
  
  		return find_secret_passcode(SCREAMING_SNAKE_CASE__ )
  
  
  if __name__ == "__main__":
  						print(f"{solution() = }")
  
  
  