




'''simple docstring'''


from __future__ import annotations

from typing import Any







class      SCREAMING_SNAKE_CASE    (						snake_case_				):
      pass







class      SCREAMING_SNAKE_CASE    :






      def __init__( self   :  Any						,						lowercase__   :  Any       ):


           '''simple docstring'''

           a_     :							Any     						=  data
           a_     :							Node | None     						=  None






      def __iter__( self   :  List[str]       ):


           '''simple docstring'''

           a_     :							Tuple     						=  self
           a_     :							str     						=  []
           while node:
                if node in visited:
                     raise ContainsLoopError
                visited.append(lowercase__       )
                yield node.data
                a_     :							List[Any]     						=  node.next_node






      @property
      def 							lowercase_						( self   :  Dict       ):


           '''simple docstring'''

           try:
                list(self       )
                return False
           except ContainsLoopError:
                return True


if __name__ == "__main__":
 lowerCAmelCase_      :  Optional[int]				     =  Node(1)
 lowerCAmelCase_      :  Tuple				     =  Node(2)
 lowerCAmelCase_      :  List[Any]				     =  Node(3)
 lowerCAmelCase_      :  List[str]				     =  Node(4)
 print(root_node.has_loop)  # False
 lowerCAmelCase_      :  List[str]				     =  root_node.next_node
 print(root_node.has_loop)  # True

 lowerCAmelCase_      :  Tuple				     =  Node(5)
 lowerCAmelCase_      :  Optional[int]				     =  Node(6)
 lowerCAmelCase_      :  List[str]				     =  Node(5)
 lowerCAmelCase_      :  List[Any]				     =  Node(6)
 print(root_node.has_loop)  # False

 lowerCAmelCase_      :  Dict				     =  Node(1)
 print(root_node.has_loop)  # False






'''simple docstring'''


from typing import TYPE_CHECKING

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


lowerCAmelCase_      :  Dict				     =  {
    'configuration_graphormer': ['GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP', 'GraphormerConfig'],
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCAmelCase_      :  int				     =  [
     'GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
     'GraphormerForGraphClassification',
     'GraphormerModel',
     'GraphormerPreTrainedModel',
 ]


if TYPE_CHECKING:
 from .configuration_graphormer import GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, GraphormerConfig

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_graphormer import (
      GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
      GraphormerForGraphClassification,
      GraphormerModel,
      GraphormerPreTrainedModel,
  )


else:
 import sys

 lowerCAmelCase_      :  Tuple				     =  _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
