code: from collections import OrderedDict
  from typing import Any, List, Mapping, Optional
  
  from ... import PretrainedConfig, PreTrainedTokenizer
  from ...onnx import OnnxConfig, PatchingSpec
  from ...utils import TensorType, is_torch_available, logging
  
  
  lowerCamelCase__	    =				logging.get_logger(__name__)
  
  lowerCamelCase__	    =				{
      "microsoft/layoutlm-base-uncased": (
          "https://huggingface.co/microsoft/layoutlm-base-uncased/resolve/main/config.json"
      ),
      "microsoft/layoutlm-large-uncased": (
          "https://huggingface.co/microsoft/layoutlm-large-uncased/resolve/main/config.json"
      ),
  }
  
  
  
  
  class 					UpperCamelCase	(     UpperCamelCase_      ):
  					__UpperCamelCase						=   """layoutlm"""
  
  
  
  
  					def __init__( self :					Union[str, Any]      ,_lowerCAmelCase :					Optional[int]=30_522      ,_lowerCAmelCase :					str=768      ,_lowerCAmelCase :					Dict=12      ,_lowerCAmelCase :					int=12      ,_lowerCAmelCase :					Dict=3_072      ,_lowerCAmelCase :					Optional[int]="gelu"      ,_lowerCAmelCase :					Any=0.1      ,_lowerCAmelCase :					str=0.1      ,_lowerCAmelCase :					List[str]=512      ,_lowerCAmelCase :					Dict=2      ,_lowerCAmelCase :					Dict=0.0_2      ,_lowerCAmelCase :					Union[str, Any]=1E-12      ,_lowerCAmelCase :					Tuple=0      ,_lowerCAmelCase :					Dict="absolute"      ,_lowerCAmelCase :					Optional[Any]=True      ,_lowerCAmelCase :					Tuple=1_024      ,**_lowerCAmelCase :					Tuple      ,):
  
  
  							"""simple docstring"""
  
  
  
  
  							super().__init__(pad_token_id=__UpperCamelCase      ,**__UpperCamelCase						)
  							__snake_case		       =     vocab_size
  							__snake_case		       =     hidden_size
  							__snake_case		       =     num_hidden_layers
  							__snake_case		       =     num_attention_heads
  							__snake_case		       =     hidden_act
  							__snake_case		       =     intermediate_size
  							__snake_case		       =     hidden_dropout_prob
  							__snake_case		       =     attention_probs_dropout_prob
  							__snake_case		       =     max_position_embeddings
  							__snake_case		       =     type_vocab_size
  							__snake_case		       =     initializer_range
  							__snake_case		       =     layer_norm_eps
  							__snake_case		       =     position_embedding_type
  							__snake_case		       =     use_cache
  							__snake_case		       =     max_ad_position_embeddings
  
  
  
  
  class 					UpperCamelCase	(     UpperCamelCase_      ):
  
  
  
  
  					def __init__( self :					Optional[int]      ,_lowerCAmelCase :					Dict      ,_lowerCAmelCase :					Optional[int] = "default"      ,_lowerCAmelCase :					int = None      ,):
  
  
  							"""simple docstring"""
  
  
  
  
  							super().__init__(__UpperCamelCase      ,task=__UpperCamelCase      ,patching_specs=__UpperCamelCase						)
  							__snake_case		       =     config.max_ad_position_embeddings - 1
  
  
  
  
  					@property
  					def 							UpperCamelCase_						( self :					List[Any]						):
  
  
  							"""simple docstring"""
  
  
  
  
  							return OrderedDict(
  							    [
  							        ("input_ids", {0: "batch", 1: "sequence"}),
  							        ("bbox", {0: "batch", 1: "sequence"}),
  							        ("attention_mask", {0: "batch", 1: "sequence"}),
  							        ("token_type_ids", {0: "batch", 1: "sequence"}),
  							    ]						)
  
  
  
  
  
  
  
  					def 							UpperCamelCase_						( self :					Union[str, Any]      ,_lowerCAmelCase :					Optional[int]      ,_lowerCAmelCase :					Optional[Any] = -1      ,_lowerCAmelCase :					Any = -1      ,_lowerCAmelCase :					Optional[int] = False      ,_lowerCAmelCase :					Tuple = None      ,):
  
  
  							"""simple docstring"""
  
  
  
  
  							__snake_case		       =     super().generate_dummy_inputs(
  							    __UpperCamelCase      ,batch_size=__UpperCamelCase      ,seq_length=__UpperCamelCase      ,is_pair=__UpperCamelCase      ,framework=__UpperCamelCase						)
  
  							# Generate a dummy bbox
  							__snake_case		       =     [48, 84, 73, 128]
  
  							if not framework == TensorType.PYTORCH:
  									raise NotImplementedError("Exporting LayoutLM to ONNX is currently only supported for PyTorch."						)
  
  							if not is_torch_available():
  									raise ValueError("Cannot generate dummy inputs without PyTorch installed."						)
  							import torch
  
  							__snake_case		       =     input_dict['''input_ids'''].shape
  							__snake_case		       =     torch.tensor([*[box] * seq_length]						).tile(__UpperCamelCase      ,1      ,1						)
  							return input_dict
  
  
  
  
  
  
style_context: from __future__ import annotations
  
  from collections.abc import Iterable
  from dataclasses import dataclass
  from typing import Any
  
  
  
  
  class 					UpperCamelCase	:
  					__UpperCamelCase						=   ("""_front""", """_back""", """_len""")
  
  
  
  
  					@dataclass
  					class 					UpperCamelCase	:
  										__UpperCamelCase						=   None
  										__UpperCamelCase						=   None
  										__UpperCamelCase						=   None
  
  
  
  
  					class 					UpperCamelCase	:
  										__UpperCamelCase						=   ("""_cur""",)
  
  
  
  
  										def __init__( self :					Dict      ,_lowerCAmelCase :					Deque._Node | None						):
  
  
  												"""simple docstring"""
  
  
  
  
  												__snake_case		       =     cur
  
  
  
  
  										def __iter__( self :					Dict						):
  
  
  												"""simple docstring"""
  
  
  
  
  												return self
  
  
  
  
  
  
  
  										def 							UpperCamelCase_						( self :					Optional[Any]						):
  
  
  												"""simple docstring"""
  
  
  
  
  												if self._cur is None:
  														# finished iterating
  														raise StopIteration
  												__snake_case		       =     self._cur.val
  												__snake_case		       =     self._cur.next_node
  
  												return val
  
  
  
  
  					def __init__( self :					Optional[int]      ,_lowerCAmelCase :					Iterable[Any] | None = None						):
  
  
  							"""simple docstring"""
  
  
  
  
  							__snake_case		       =     None
  							__snake_case		       =     None
  							__snake_case		       =     0
  
  							if iterable is not None:
  									# append every value to the deque
  									for val in iterable:
  											self.append(_lowerCAmelCase						)
  
  
  
  
  					def 							UpperCamelCase_						( self :					int      ,_lowerCAmelCase :					Any						):
  
  
  							"""simple docstring"""
  
  
  
  
  							__snake_case		       =     self._Node(_lowerCAmelCase      ,_lowerCAmelCase      ,_lowerCAmelCase						)
  							if self.is_empty():
  									# front = back
  									__snake_case		       =     __snake_case		       =     node
  									__snake_case		       =     1
  							else:
  									# connect nodes
  									__snake_case		       =     node
  									__snake_case		       =     self._back
  									__snake_case		       =     node  # assign new back to the new node
  
  									self._len += 1
  
  									# make sure there were no errors
  									assert not self.is_empty(), "Error on appending value."
  
  
  
  
  					def 							UpperCamelCase_						( self :					Any      ,_lowerCAmelCase :					Any						):
  
  
  							"""simple docstring"""
  
  
  
  
  							__snake_case		       =     self._Node(_lowerCAmelCase      ,_lowerCAmelCase      ,_lowerCAmelCase						)
  							if self.is_empty():
  									# front = back
  									__snake_case		       =     __snake_case		       =     node
  									__snake_case		       =     1
  							else:
  									# connect nodes
  									__snake_case		       =     self._front
  									__snake_case		       =     node
  									__snake_case		       =     node  # assign new front to the new node
  
  									self._len += 1
  
  									# make sure there were no errors
  									assert not self.is_empty(), "Error on appending value."
  
  
  
  
  					def 							UpperCamelCase_						( self :					int      ,_lowerCAmelCase :					Iterable[Any]						):
  
  
  							"""simple docstring"""
  
  
  
  
  							for val in iterable:
  									self.append(_lowerCAmelCase						)
  
  
  
  
  					def 							UpperCamelCase_						( self :					Optional[int]      ,_lowerCAmelCase :					Iterable[Any]						):
  
  
  							"""simple docstring"""
  
  
  
  
  							for val in iterable:
  									self.appendleft(_lowerCAmelCase						)
  
  
  
  
  					def 							UpperCamelCase_						( self :					List[Any]						):
  
  
  							"""simple docstring"""
  
  
  
  
  							assert not self.is_empty(), "Deque is empty."
  
  							__snake_case		       =     self._back
  							__snake_case		       =     self._back.prev_node  # set new back
  							# drop the last node - python will deallocate memory automatically
  							__snake_case		       =     None
  
  							self._len -= 1
  
  							return topop.val
  
  
  
  
  					def 							UpperCamelCase_						( self :					List[str]						):
  
  
  							"""simple docstring"""
  
  
  
  
  							assert not self.is_empty(), "Deque is empty."
  
  							__snake_case		       =     self._front
  							__snake_case		       =     self._front.next_node  # set new front and drop the first node
  							__snake_case		       =     None
  
  							self._len -= 1
  
  							return topop.val
  
  
  
  
  					def 							UpperCamelCase_						( self :					int						):
  
  
  							"""simple docstring"""
  
  
  
  
  							return self._front is None
  
  
  
  
  					def __len__( self :					Tuple						):
  
  
  							"""simple docstring"""
  
  
  
  
  							return self._len
  
  
  
  
  					def __eq__( self :					Union[str, Any]      ,_lowerCAmelCase :					object						):
  
  
  							"""simple docstring"""
  
  
  
  
  							if not isinstance(_lowerCAmelCase      ,_lowerCAmelCase						):
  									return NotImplemented
  
  							__snake_case		       =     self._front
  							__snake_case		       =     other._front
  
  							# if the length of the dequeues are not the same, they are not equal
  							if len(self						) != len(_lowerCAmelCase						):
  									return False
  
  							while me is not None and oth is not None:
  									# compare every value
  									if me.val != oth.val:
  											return False
  									__snake_case		       =     me.next_node
  									__snake_case		       =     oth.next_node
  
  							return True
  
  
  
  
  					def __iter__( self :					Tuple						):
  
  
  							"""simple docstring"""
  
  
  
  
  							return Deque._Iterator(self._front						)
  
  
  
  
  
  
  
  					def __repr__( self :					List[Any]						):
  
  
  							"""simple docstring"""
  
  
  
  
  							__snake_case		       =     []
  							__snake_case		       =     self._front
  							while aux is not None:
  									# append the values in a list to display
  									values_list.append(aux.val						)
  									__snake_case		       =     aux.next_node
  
  							return F"""[{", ".join(repr(_lowerCAmelCase						) for val in values_list						)}]"""
  
  
  if __name__ == "__main__":
  		import doctest
  
  		doctest.testmod()
  
  
  
  
  
  