




from __future__ import annotations







class __snake_case			:







   def __init__(      self		:						Tuple					,						_snake_case		:						Dict=None):

        """simple docstring"""


        UpperCAmelCase_          =							data
        UpperCAmelCase_          =							None







   def __repr__(      self		:						str):

        """simple docstring"""


        UpperCAmelCase_          =							[]
        UpperCAmelCase_          =							self
        while temp:
             string_rep.append(F"""{temp.data}""")
             UpperCAmelCase_          =							temp.next
        return "->".join(_snake_case)







def    A						(__A   :    list       )   ->      List[str]:







     """simple docstring"""


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

     UpperCAmelCase_          =							UpperCAmelCase_          =							Node(elements_list[0]       )
     for i in range(1   ,				len(__A       )       ):
          UpperCAmelCase_          =							Node(elements_list[i]       )
          UpperCAmelCase_          =							current.next
     return head


def    A						(__A   :    Node       )   ->      None:







     """simple docstring"""


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


def    A						()   ->      List[str]:







     """simple docstring"""


     from doctest import testmod

     testmod()

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


if __name__ == "__main__":
    main()










from typing import TYPE_CHECKING

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


lowerCAmelCase       =							{'configuration_dpt': ['DPT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'DPTConfig']}

try:
			if not is_vision_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			lowerCAmelCase       =							['DPTFeatureExtractor']
			lowerCAmelCase       =							['DPTImageProcessor']

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			lowerCAmelCase       =							[
			    'DPT_PRETRAINED_MODEL_ARCHIVE_LIST',
			    'DPTForDepthEstimation',
			    'DPTForSemanticSegmentation',
			    'DPTModel',
			    'DPTPreTrainedModel',
			]


if TYPE_CHECKING:
			from .configuration_dpt import DPT_PRETRAINED_CONFIG_ARCHIVE_MAP, DPTConfig

			try:
						if not is_vision_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .feature_extraction_dpt import DPTFeatureExtractor
						from .image_processing_dpt import DPTImageProcessor

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_dpt import (
						    DPT_PRETRAINED_MODEL_ARCHIVE_LIST,
						    DPTForDepthEstimation,
						    DPTForSemanticSegmentation,
						    DPTModel,
						    DPTPreTrainedModel,
						)


else:
			import sys

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


