def original_column_node_ids(
        self,
    ) -> Union[torch.Tensor, Dict[str, torch.Tensor]]:
        """Returns corresponding reverse column node ids the original graph.
        Column's reverse node ids in the original graph. A graph structure
        can be treated as a coordinated row and column pair, and this is
        the mapped ids of the column.
          - If `original_column_node_ids` is a tensor: It represents the
            original node ids.
          - If `original_column_node_ids` is a dictionary: The keys should be
            node type and the values should be corresponding original
            heterogeneous node ids.
        If present, it means column IDs are compacted, and `sampled_csc`
        column IDs match these compacted ones.
        """
        return None
Returns corresponding reverse column node ids the original graph.
        Column's reverse node ids in the original graph. A graph structure
        can be treated as a coordinated row and column pair, and this is
        the mapped ids of the column.
          - If `original_column_node_ids` is a tensor: It represents the
            original node ids.
          - If `original_column_node_ids` is a dictionary: The keys should be
            node type and the values should be corresponding original
            heterogeneous node ids.
        If present, it means column IDs are compacted, and `sampled_csc`
        column IDs match these compacted ones.
        
python/dgl/graphbolt/sampled_subgraph.py