def original_row_node_ids(
        self,
    ) -> Union[torch.Tensor, Dict[str, torch.Tensor]]:
        """Returns corresponding reverse row node ids the original graph.
        Row'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 row.
          - If `original_row_node_ids` is a tensor: It represents the original
            node ids.
          - If `original_row_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 row IDs are compacted, and `sampled_csc`
        row IDs match these compacted ones."""
        return None
Returns corresponding reverse row node ids the original graph.
        Row'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 row.
          - If `original_row_node_ids` is a tensor: It represents the original
            node ids.
          - If `original_row_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 row IDs are compacted, and `sampled_csc`
        row IDs match these compacted ones.
python/dgl/graphbolt/sampled_subgraph.py