code: def add_remaining_self_loops(  # noqa: F811
      edge_index: Tensor,
      edge_attr: Tensor,
      fill_value: Optional[float] = None,
      num_nodes: Optional[int] = None,
  ) -> Tuple[Tensor, Tensor]:
      pass
  
imports: import typing
  from typing import Optional, Tuple, Union
  import torch
  from torch import Tensor
  from torch_geometric import EdgeIndex
  from torch_geometric.utils import scatter
  from torch_geometric.utils.num_nodes import maybe_num_nodes
  from torch_geometric.utils.sparse import is_torch_sparse_tensor, to_edge_index, to_torch_coo_tensor, to_torch_csr_tensor
label_desc: Use image node_id 32 for calling a global function with example usage: add_remaining_self_loops(edge_index, edge_attr, fill_value, num_nodes) without return types