code: def test_find_reverse_edges_homo():
      edges = (torch.tensor([1, 3, 5]), torch.tensor([2, 4, 5]))
      edges = gb.add_reverse_edges(edges)
      expected_edges = (
          torch.tensor([1, 3, 5, 2, 4, 5]),
          torch.tensor([2, 4, 5, 1, 3, 5]),
      )
      assert torch.equal(edges[0], expected_edges[0])
      assert torch.equal(edges[1], expected_edges[1])
  
file_path: dgl/tests/python/pytorch/graphbolt/test_graphbolt_utils.py
imports: import backend
  import dgl.graphbolt
  import pytest
  import torch
label_desc: Use image node_id 1 for calling a global function with example usage: test_find_reverse_edges_homo() without return types