






"""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 		_a       (						lowercase_   ):





   '''simple docstring'''






   UpperCamelCase__      					=    """layoutlmv2"""





   def __init__(   self			,				UpperCAmelCase_=30_522			,				UpperCAmelCase_=768			,				UpperCAmelCase_=12			,				UpperCAmelCase_=12			,				UpperCAmelCase_=3_072			,				UpperCAmelCase_="gelu"			,				UpperCAmelCase_=0.1			,				UpperCAmelCase_=0.1			,				UpperCAmelCase_=512			,				UpperCAmelCase_=2			,				UpperCAmelCase_=0.02			,				UpperCAmelCase_=1E-1_2			,				UpperCAmelCase_=0			,				UpperCAmelCase_=1_024			,				UpperCAmelCase_=128			,				UpperCAmelCase_=32			,				UpperCAmelCase_=True			,				UpperCAmelCase_=256			,				UpperCAmelCase_=64			,				UpperCAmelCase_=True			,				UpperCAmelCase_=[7, 7, 256]			,				UpperCAmelCase_=128			,				UpperCAmelCase_=128			,				UpperCAmelCase_=True			,				UpperCAmelCase_=True			,				UpperCAmelCase_=False			,				UpperCAmelCase_=None			,				**UpperCAmelCase_			,				)	-> Dict:




          '''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_			,				)
          lowercase__:    Union[str, Any]        =      max_ad_position_embeddings
          lowercase__:    List[Any]        =      max_rel_pos
          lowercase__:    int        =      rel_pos_bins
          lowercase__:    int        =      fast_qkv
          lowercase__:    Optional[int]        =      max_rel_ad_pos
          lowercase__:    Optional[Any]        =      rel_ad_pos_bins
          lowercase__:    Optional[Any]        =      convert_sync_batchnorm
          lowercase__:    Any        =      image_feature_pool_shape
          lowercase__:    Union[str, Any]        =      coordinate_size
          lowercase__:    str        =      shape_size
          lowercase__:    Union[str, Any]        =      has_relative_attention_bias
          lowercase__:    List[Any]        =      has_spatial_attention_bias
          lowercase__:    Union[str, Any]        =      has_visual_segment_embedding
          lowercase__:    Union[str, Any]        =      (
              detectrona_config_args if detectrona_config_args is not None else self.get_default_detectrona_config()
          )





   @classmethod
   def __lowercase    (   self)	-> str:




          '''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 __lowercase    (   self)	-> int:




          '''simple docstring'''




          lowercase__:    Union[str, Any]        =      detectrona.config.get_cfg()
          for k, v in self.detectrona_config_args.items():
                 lowercase__:    List[str]        =      k.split(".")
                 lowercase__:    Tuple        =      detectrona_config
                 for attribute in attributes[:-1]:
                        lowercase__:    Optional[int]        =      getattr(UpperCAmelCase_			,				UpperCAmelCase_)
                 setattr(UpperCAmelCase_			,				attributes[-1]			,				UpperCAmelCase_)

          return detectrona_config














"""simple docstring"""





class 		_a       :





   '''simple docstring'''






   def __init__(   self			,				UpperCAmelCase_=None)	-> List[Any]:




          '''simple docstring'''




          lowercase__:    str        =      data
          lowercase__:    Any        =      None





   def __repr__(   self)	-> Optional[Any]:




          '''simple docstring'''




          lowercase__:    Any        =      ""
          lowercase__:    Dict        =      self
          while temp:
                 string_rep += F"""<{temp.data}> ---> """
                 lowercase__:    Tuple        =      temp.next
          string_rep += "<END>"
          return string_rep







def     A(  snake_case_		):
       """simple docstring"""





       if not elements_list:
              raise Exception("The Elements List is empty"		)

       # Set first element as Head
       lowercase__:    Any        =      Node(elements_list[0]		)
       lowercase__:    Optional[int]        =      head
       # Loop through elements from position 1
       for data in elements_list[1:]:
              lowercase__:    Dict        =      Node(snake_case_		)
              lowercase__:    Dict        =      current.next
       return head


UpperCamelCase			=      [1, 3, 5, 32, 44, 12, 43]
print(F"List: {list_data}")
print("""Creating Linked List from List.""")
UpperCamelCase			=      make_linked_list(list_data)
print("""Linked List:""")







print(linked_list)






