code: def test_neighbor_sample_seed():
      colptr = torch.tensor([0, 3, 6, 9])
      row = torch.tensor([0, 1, 2, 0, 1, 2, 0, 1, 2])
      input_nodes = torch.tensor([0, 1])
  
      torch.manual_seed(42)
      out1 = neighbor_sample(
          colptr, row, input_nodes, [1, 1], True, False
      )
  
      torch.manual_seed(42)
      out2 = neighbor_sample(
          colptr, row, input_nodes, [1, 1], True, False
      )
  
      for data1, data2 in zip(out1, out2):
          assert data1.tolist() == data2.tolist()
  
label_desc: Use image node_id 2 for calling a global function with example usage: test_neighbor_sample_seed() without return types