
from __future__ import annotations

from collections.abc import Iterable
from dataclasses import dataclass
from typing import Any







class 			UpperCamelCase__		:







	'''simple docstring'''
	_lowerCAmelCase											=					("_front", "_back", "_len")







	@dataclass
	class 			UpperCamelCase__		:







		'''simple docstring'''
		_lowerCAmelCase											=					None
		_lowerCAmelCase											=					None
		_lowerCAmelCase											=					None







	class 			UpperCamelCase__		:







		'''simple docstring'''
		_lowerCAmelCase											=					("_cur",)





		def __init__(      self					,							UpperCamelCase__		):
						A__	:						Any								=				cur





		def __iter__(      self		):
						return self





		def 	__snake_case					(      self		):






						if self._cur is None:
										# finished iterating
										raise StopIteration
						A__	:						str								=				self._cur.val
						A__	:						List[Any]								=				self._cur.next_node

						return val





	def __init__(      self					,							UpperCamelCase__ = None		):
					A__	:						Tuple								=				None
					A__	:						Union[str, Any]								=				None
					A__	:						int								=				0

					if iterable is not None:
									# append every value to the deque
									for val in iterable:
													self.append(UpperCamelCase__		)





	def 	__snake_case					(      self					,							UpperCamelCase__		):
					A__	:						Tuple								=				self._Node(UpperCamelCase__					,							UpperCamelCase__					,							UpperCamelCase__		)
					if self.is_empty():
									# front = back
									A__	:						str								=				node
									A__	:						Optional[Any]								=				1
					else:
									# connect nodes
									A__	:						Union[str, Any]								=				node
									A__	:						Tuple								=				self._back
									A__	:						Any								=				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 	__snake_case					(      self					,							UpperCamelCase__		):
					A__	:						Optional[int]								=				self._Node(UpperCamelCase__					,							UpperCamelCase__					,							UpperCamelCase__		)
					if self.is_empty():
									# front = back
									A__	:						List[str]								=				node
									A__	:						str								=				1
					else:
									# connect nodes
									A__	:						Union[str, Any]								=				self._front
									A__	:						Optional[Any]								=				node
									A__	:						int								=				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 	__snake_case					(      self					,							UpperCamelCase__		):






					for val in iterable:
									self.append(UpperCamelCase__		)





	def 	__snake_case					(      self					,							UpperCamelCase__		):






					for val in iterable:
									self.appendleft(UpperCamelCase__		)





	def 	__snake_case					(      self		):
					assert not self.is_empty(), "Deque is empty."

					A__	:						Optional[Any]								=				self._back
					A__	:						str								=				self._back.prev_node  # set new back
					# drop the last node - python will deallocate memory automatically
					A__	:						Optional[Any]								=				None

					self._len -= 1

					return topop.val





	def 	__snake_case					(      self		):
					assert not self.is_empty(), "Deque is empty."

					A__	:						int								=				self._front
					A__	:						int								=				self._front.next_node  # set new front and drop the first node
					A__	:						str								=				None

					self._len -= 1

					return topop.val





	def 	__snake_case					(      self		):
					return self._front is None





	def __len__(      self		):
					return self._len





	def __eq__(      self					,							UpperCamelCase__		):






					if not isinstance(UpperCamelCase__					,							UpperCamelCase__		):
									return NotImplemented

					A__	:						Union[str, Any]								=				self._front
					A__	:						Any								=				other._front

					# if the length of the dequeues are not the same, they are not equal
					if len(self		) != len(UpperCamelCase__		):
									return False

					while me is not None and oth is not None:
									# compare every value
									if me.val != oth.val:
													return False
									A__	:						Optional[Any]								=				me.next_node
									A__	:						Any								=				oth.next_node

					return True





	def __iter__(      self		):
					return Deque._Iterator(self._front		)





	def __repr__(      self		):
					A__	:						Tuple								=				[]
					A__	:						str								=				self._front
					while aux is not None:
									# append the values in a list to display
									values_list.append(aux.val		)
									A__	:						Any								=				aux.next_node

					return F"[{', '.join(repr(UpperCamelCase__		) for val in values_list		)}]"


if __name__ == "__main__":
					import doctest

					doctest.testmod()



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


SCREAMING_SNAKE_CASE__       			=				{
    """configuration_markuplm""": ["""MARKUPLM_PRETRAINED_CONFIG_ARCHIVE_MAP""", """MarkupLMConfig"""],
    """feature_extraction_markuplm""": ["""MarkupLMFeatureExtractor"""],
    """processing_markuplm""": ["""MarkupLMProcessor"""],
    """tokenization_markuplm""": ["""MarkupLMTokenizer"""],
}

try:
							if not is_tokenizers_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							SCREAMING_SNAKE_CASE__       			=				["""MarkupLMTokenizerFast"""]

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							SCREAMING_SNAKE_CASE__       			=				[
							    """MARKUPLM_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """MarkupLMForQuestionAnswering""",
							    """MarkupLMForSequenceClassification""",
							    """MarkupLMForTokenClassification""",
							    """MarkupLMModel""",
							    """MarkupLMPreTrainedModel""",
							]


if TYPE_CHECKING:
							from .configuration_markuplm import MARKUPLM_PRETRAINED_CONFIG_ARCHIVE_MAP, MarkupLMConfig
							from .feature_extraction_markuplm import MarkupLMFeatureExtractor
							from .processing_markuplm import MarkupLMProcessor
							from .tokenization_markuplm import MarkupLMTokenizer

							try:
														if not is_tokenizers_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_markuplm_fast import MarkupLMTokenizerFast

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_markuplm import (
														    MARKUPLM_PRETRAINED_MODEL_ARCHIVE_LIST,
														    MarkupLMForQuestionAnswering,
														    MarkupLMForSequenceClassification,
														    MarkupLMForTokenClassification,
														    MarkupLMModel,
														    MarkupLMPreTrainedModel,
														)


else:
							import sys

							SCREAMING_SNAKE_CASE__       			=				_LazyModule(__name__, globals()["""__file__"""], _import_structure)

