


from __future__ import annotations

from collections.abc import Iterator
from typing import Generic, TypeVar

lowerCAmelCase	=							TypeVar('T')


class 	_a							(      Generic[T]      ):

							def __init__(							self:     Union[str, Any]   ,						UpperCamelCase_:     Optional[int]							)      ->       Dict:





									"""simple docstring"""







									lowercase__						=				data
									lowercase__						=				None


							def __str__(							self:     Optional[Any]							)      ->       str:





									"""simple docstring"""







									return f'{self.data}'


class 	_a							(      Generic[T]      ):

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





									"""simple docstring"""







									lowercase__						=				None

							def __iter__(							self:     Any							)      ->       Iterator[T]:





									"""simple docstring"""







									lowercase__						=				self.top
									while node:
											yield node.data
											lowercase__						=				node.next

							def __str__(							self:     List[Any]							)      ->       str:





									"""simple docstring"""







									return "->".join([str(a__							) for item in self]							)

							def __len__(							self:     Any							)      ->       int:





									"""simple docstring"""







									return len(tuple(iter(self							)							)							)

							def 				lowerCamelCase_			(							self:     Dict							)      ->       bool:





									"""simple docstring"""







									return self.top is None

							def 				lowerCamelCase_			(							self:     Union[str, Any]   ,						UpperCamelCase_:     str							)      ->       None:





									"""simple docstring"""







									lowercase__						=				Node(a__							)
									if not self.is_empty():
											lowercase__						=				self.top
									lowercase__						=				node

							def 				lowerCamelCase_			(							self:     Dict							)      ->       T:





									"""simple docstring"""







									if self.is_empty():
											raise IndexError('''pop from empty stack'''							)
									assert isinstance(self.top   ,						a__							)
									lowercase__						=				self.top
									lowercase__						=				self.top.next
									return pop_node.data

							def 				lowerCamelCase_			(							self:     List[str]							)      ->       T:





									"""simple docstring"""







									if self.is_empty():
											raise IndexError('''peek from empty stack'''							)

									assert self.top is not None
									return self.top.data


							def 				lowerCamelCase_			(							self:     int							)      ->       None:





									"""simple docstring"""







									lowercase__						=				None


if __name__ == "__main__":
			from doctest import testmod

			testmod()





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCAmelCase	=							{
    'configuration_luke': ['LUKE_PRETRAINED_CONFIG_ARCHIVE_MAP', 'LukeConfig'],
    'tokenization_luke': ['LukeTokenizer'],
}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			lowerCAmelCase	=							[
			    'LUKE_PRETRAINED_MODEL_ARCHIVE_LIST',
			    'LukeForEntityClassification',
			    'LukeForEntityPairClassification',
			    'LukeForEntitySpanClassification',
			    'LukeForMultipleChoice',
			    'LukeForQuestionAnswering',
			    'LukeForSequenceClassification',
			    'LukeForTokenClassification',
			    'LukeForMaskedLM',
			    'LukeModel',
			    'LukePreTrainedModel',
			]


if TYPE_CHECKING:
			from .configuration_luke import LUKE_PRETRAINED_CONFIG_ARCHIVE_MAP, LukeConfig
			from .tokenization_luke import LukeTokenizer

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_luke import (
						    LUKE_PRETRAINED_MODEL_ARCHIVE_LIST,
						    LukeForEntityClassification,
						    LukeForEntityPairClassification,
						    LukeForEntitySpanClassification,
						    LukeForMaskedLM,
						    LukeForMultipleChoice,
						    LukeForQuestionAnswering,
						    LukeForSequenceClassification,
						    LukeForTokenClassification,
						    LukeModel,
						    LukePreTrainedModel,
						)

else:
			import sys

			lowerCAmelCase	=							_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)


