
from __future__ import annotations

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

_A  =	TypeVar("T")





class       _lowerCAmelCase   (      Generic[T]			):




				def __init__(   self							,							_UpperCamelCase	)							-> Dict:
							lowerCAmelCase_         =      data
							lowerCAmelCase_         =      None




				def __str__(   self	)							-> str:
							return f"""{self.data}"""





class       _lowerCAmelCase   (      Generic[T]			):




				def __init__(   self	)							-> None:
							lowerCAmelCase_         =      None




				def __iter__(   self	)							-> Iterator[T]:
							lowerCAmelCase_         =      self.top
							while node:
										yield node.data
										lowerCAmelCase_         =      node.next




				def __str__(   self	)							-> str:
							return "->".join([str(_UpperCamelCase	) for item in self]	)




				def __len__(   self	)							-> int:
							return len(tuple(iter(self	)	)	)




				def 	__a		(   self	)							-> bool:
							return self.top is None




				def 	__a		(   self							,							_UpperCamelCase	)							-> None:
							lowerCAmelCase_         =      Node(_UpperCamelCase	)
							if not self.is_empty():
										lowerCAmelCase_         =      self.top
							lowerCAmelCase_         =      node




				def 	__a		(   self	)							-> T:
							if self.is_empty():
										raise IndexError("pop from empty stack"	)
							assert isinstance(self.top							,							_UpperCamelCase	)
							lowerCAmelCase_         =      self.top
							lowerCAmelCase_         =      self.top.next
							return pop_node.data




				def 	__a		(   self	)							-> T:
							if self.is_empty():
										raise IndexError("peek from empty stack"	)

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




				def 	__a		(   self	)							-> None:
							lowerCAmelCase_         =      None


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

			testmod()





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_A  =	{"configuration_sew": ["SEW_PRETRAINED_CONFIG_ARCHIVE_MAP", "SEWConfig"]}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			_A  =	[
			    "SEW_PRETRAINED_MODEL_ARCHIVE_LIST",
			    "SEWForCTC",
			    "SEWForSequenceClassification",
			    "SEWModel",
			    "SEWPreTrainedModel",
			]

if TYPE_CHECKING:
			from .configuration_sew import SEW_PRETRAINED_CONFIG_ARCHIVE_MAP, SEWConfig

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_sew import (
						    SEW_PRETRAINED_MODEL_ARCHIVE_LIST,
						    SEWForCTC,
						    SEWForSequenceClassification,
						    SEWModel,
						    SEWPreTrainedModel,
						)


else:
			import sys

			_A  =	_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)



