






"""simple docstring"""



from typing import Any





class  _UpperCAmelCase	:




					def __init__(    self					:						Dict       )  ->  Optional[int]:
							lowercase_			:			Dict								=       []
							lowercase_			:			Optional[Any]								=       0




					def __str__(    self					:						Optional[Any]       )  ->  Optional[int]:
							lowercase_			:			Optional[int]								=       '''<''' + str(self.stack       )[1:-1] + '''>'''
							return printed




					def   A  (    self					:						Optional[int]   ,						A					:						Any       )  ->  None:
							self.stack.append(A       )
							lowercase_			:			Union[str, Any]								=       self.length + 1




					def   A  (    self					:						List[Any]       )  ->  Any:
							self.rotate(1       )
							lowercase_			:			Any								=       self.stack[self.length - 1]
							lowercase_			:			str								=       self.stack[:-1]
							self.rotate(self.length - 1       )
							lowercase_			:			Optional[int]								=       self.length - 1
							return dequeued




					def   A  (    self					:						Optional[int]   ,						A					:						int       )  ->  None:
							for _ in range(A       ):
									lowercase_			:			str								=       self.stack[0]
									lowercase_			:			int								=       self.stack[1:]
									self.put(A       )
									lowercase_			:			int								=       self.length - 1




					def   A  (    self					:						Any       )  ->  Any:
							lowercase_			:			Tuple								=       self.get()
							self.put(A       )
							self.rotate(self.length - 1       )
							return front




					def   A  (    self					:						Optional[int]       )  ->  int:
							return self.length











"""simple docstring"""



from typing import TYPE_CHECKING

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


__A		:	Any      =		{
    '''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:
						__A		:	List[str]      =		['''MarkupLMTokenizerFast''']

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__A		:	Optional[int]      =		[
						    '''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

						__A		:	Optional[Any]      =		_LazyModule(__name__, globals()['''__file__'''], _import_structure)



