


"""simple docstring"""







from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
    is_vision_available,
)


lowerCamelCase_   :   Union[str, Any]									=  {"""configuration_vit""": ["""VIT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """ViTConfig""", """ViTOnnxConfig"""]}

try:
       if not is_vision_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       lowerCamelCase_   :   Any									=  ["""ViTFeatureExtractor"""]
       lowerCamelCase_   :   List[str]									=  ["""ViTImageProcessor"""]

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       lowerCamelCase_   :   int									=  [
           """VIT_PRETRAINED_MODEL_ARCHIVE_LIST""",
           """ViTForImageClassification""",
           """ViTForMaskedImageModeling""",
           """ViTModel""",
           """ViTPreTrainedModel""",
       ]

try:
       if not is_tf_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       lowerCamelCase_   :   Dict									=  [
           """TFViTForImageClassification""",
           """TFViTModel""",
           """TFViTPreTrainedModel""",
       ]

try:
       if not is_flax_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       lowerCamelCase_   :   Tuple									=  [
           """FlaxViTForImageClassification""",
           """FlaxViTModel""",
           """FlaxViTPreTrainedModel""",
       ]

if TYPE_CHECKING:
       from .configuration_vit import VIT_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTConfig, ViTOnnxConfig

       try:
              if not is_vision_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .feature_extraction_vit import ViTFeatureExtractor
              from .image_processing_vit import ViTImageProcessor

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_vit import (
                  VIT_PRETRAINED_MODEL_ARCHIVE_LIST,
                  ViTForImageClassification,
                  ViTForMaskedImageModeling,
                  ViTModel,
                  ViTPreTrainedModel,
              )

       try:
              if not is_tf_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_tf_vit import TFViTForImageClassification, TFViTModel, TFViTPreTrainedModel

       try:
              if not is_flax_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_flax_vit import FlaxViTForImageClassification, FlaxViTModel, FlaxViTPreTrainedModel


else:
       import sys

       lowerCamelCase_   :   List[str]									=  _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)




from __future__ import annotations

class 		UpperCAmelCase__			:




			'''simple docstring'''






			def __init__(   self							: Optional[Any]       ,       a_							: Optional[int]=None ):
					'''simple docstring'''





					__UpperCAmelCase    :     Optional[Any]													=	data
					__UpperCAmelCase    :     Any													=	None




			def __repr__(   self							: Tuple ):
					'''simple docstring'''





					__UpperCAmelCase    :     Dict													=	[]
					__UpperCAmelCase    :     Any													=	self
					while temp:
							string_rep.append(F'{temp.data}' )
							__UpperCAmelCase    :     Dict													=	temp.next
					return "->".join(a_ )

def        a						(      _UpperCAmelCase							:					list						):







		'''simple docstring'''





		if not elements_list:
				raise Exception('''The Elements List is empty'''						)

		__UpperCAmelCase    :     int													=	Node(elements_list[0]						)
		for i in range(1 ,   len(_UpperCAmelCase						)						):
				__UpperCAmelCase    :     Any													=	Node(elements_list[i]						)
				__UpperCAmelCase    :     Optional[int]													=	current.next
		return head

def        a						(      _UpperCAmelCase							:					Node						):







		'''simple docstring'''





		if head_node is not None and isinstance(_UpperCAmelCase ,   _UpperCAmelCase						):
				print_reverse(head_node.next						)
				print(head_node.data						)

def        a						(      ):







		'''simple docstring'''





		from doctest import testmod

		testmod()

		__UpperCAmelCase    :     Tuple													=	make_linked_list([14, 52, 14, 12, 43]						)
		print('''Linked List:'''						)
		print(_UpperCAmelCase						)
		print('''Elements in Reverse:'''						)
		print_reverse(_UpperCAmelCase						)


if __name__ == "__main__":
				main()





