



'''simple docstring'''





A__    :   Optional[Any]           =					{'''a''': ['''c''', '''b'''], '''b''': ['''d''', '''e'''], '''c''': [], '''d''': [], '''e''': []}
A__    :   Optional[int]           =					['''a''', '''b''', '''c''', '''d''', '''e''']





def   a_   (		_UpperCAmelCase    :      List[str] ,_UpperCAmelCase    :      List[str] ,_UpperCAmelCase    :      Optional[int]				)    ->  int:
      __snake_case :   Optional[int]													=    start
      # add current to visited
      visited.append(_UpperCAmelCase				)
      __snake_case :   List[Any]													=    edges[current]
      for neighbor in neighbors:
            # if neighbor not in visited, visit
            if neighbor not in visited:
                  __snake_case :   int													=    topological_sort(_UpperCAmelCase ,_UpperCAmelCase ,_UpperCAmelCase				)
    # if all neighbors visited add current to sort
      sort.append(_UpperCAmelCase				)
      # if all vertices haven't been visited select a new one to visit
      if len(_UpperCAmelCase				) != len(_UpperCAmelCase				):
            for vertice in vertices:
                  if vertice not in visited:
                        __snake_case :   List[str]													=    topological_sort(_UpperCAmelCase ,_UpperCAmelCase ,_UpperCAmelCase				)
    # return sort
      return sort


if __name__ == "__main__":
    A__    :   List[Any]           =					topological_sort('''a''', [], [])
    print(sort)








'''simple docstring'''





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


A__    :   List[Any]           =					{
    '''configuration_luke''': ['''LUKE_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''LukeConfig'''],
    '''tokenization_luke''': ['''LukeTokenizer'''],
}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    A__    :   Union[str, Any]           =					[
        '''LUKE_PRETRAINED_MODEL_ARCHIVE_LIST''',
        '''LukeForEntityClassification''',
        '''LukeForEntityPairClassification''',
        '''LukeForEntitySpanClassification''',
        '''LukeForMultipleChoice''',
        '''LukeForQuestionAnswering''',
        '''LukeForSequenceClassification''',
        '''LukeForTokenClassification''',
        '''LukeForMaskedLM''',
        '''LukeModel''',
        '''LukePreTrainedModel''',
    ]


if TYPE_CHECKING:
    from .configuration_luke import LUKE_PRETRAINED_CONFIG_ARCHIVE_MAP, LukeConfig
    from .tokenization_luke import LukeTokenizer

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_luke import (
            LUKE_PRETRAINED_MODEL_ARCHIVE_LIST,
            LukeForEntityClassification,
            LukeForEntityPairClassification,
            LukeForEntitySpanClassification,
            LukeForMaskedLM,
            LukeForMultipleChoice,
            LukeForQuestionAnswering,
            LukeForSequenceClassification,
            LukeForTokenClassification,
            LukeModel,
            LukePreTrainedModel,
        )

else:
    import sys

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



