code: def segregate_self_loops(
      edge_index: Tensor,
      edge_attr: None = None,
  ) -> Tuple[Tensor, None, Tensor, None]:
      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 6 for calling a global function with example usage: segregate_self_loops(edge_index, edge_attr) without return types