






from __future__ import annotations

from typing import Any




class 							__A	:





				"""simple docstring"""







				def __init__(					self				,    lowerCamelCase__				,    lowerCamelCase__       ):  # noqa: A002




									"""simple docstring"""

									__UpperCamelCase :   Dict									=item
									__UpperCamelCase :   List[str]									=next




class 							__A	:





				"""simple docstring"""







				def __init__(					self       ):




									"""simple docstring"""

									__UpperCamelCase :   str									=None
									__UpperCamelCase :   Tuple									=0


				def  __lowercase				(					self				,    lowerCamelCase__       ):




									"""simple docstring"""

									__UpperCamelCase :   Optional[Any]									=Node(A_				,    self.head       )
									self.size += 1


				def  __lowercase				(					self       ):




									"""simple docstring"""

									if self.head is None:
														return None
									else:
														__UpperCamelCase :   Union[str, Any]									=self.head.item
														__UpperCamelCase :   str									=self.head.next
														self.size -= 1
														return item


				def  __lowercase				(					self       ):




									"""simple docstring"""

									return self.head is None


				def __str__(					self       ):




									"""simple docstring"""

									if self.is_empty():
														return ""
									else:
														__UpperCamelCase :   List[str]									=self.head
														__UpperCamelCase :   Dict									=''
														__UpperCamelCase :   Dict									=[]
														while iterate:
																			item_list.append(str(iterate.item       )       )
																			__UpperCamelCase :   Any									=iterate.next

														__UpperCamelCase :   str									=' --> '.join(A_       )

														return item_str







				def __len__(					self       ):




									"""simple docstring"""

									return self.size



from typing import TYPE_CHECKING

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


_UpperCAmelCase   :					int    =			{"configuration_levit": ["LEVIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "LevitConfig", "LevitOnnxConfig"]}

try:
					if not is_vision_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					_UpperCAmelCase   :					Optional[Any]    =			["LevitFeatureExtractor"]
					_UpperCAmelCase   :					Optional[int]    =			["LevitImageProcessor"]

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					_UpperCAmelCase   :					Optional[int]    =			[
					    "LEVIT_PRETRAINED_MODEL_ARCHIVE_LIST",
					    "LevitForImageClassification",
					    "LevitForImageClassificationWithTeacher",
					    "LevitModel",
					    "LevitPreTrainedModel",
					]


if TYPE_CHECKING:
					from .configuration_levit import LEVIT_PRETRAINED_CONFIG_ARCHIVE_MAP, LevitConfig, LevitOnnxConfig

					try:
										if not is_vision_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .feature_extraction_levit import LevitFeatureExtractor
										from .image_processing_levit import LevitImageProcessor

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_levit import (
										    LEVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
										    LevitForImageClassification,
										    LevitForImageClassificationWithTeacher,
										    LevitModel,
										    LevitPreTrainedModel,
										)
else:
					import sys

					_UpperCAmelCase   :					Optional[Any]    =			_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
