code: def test_compose_data_list():
      transform = T.Compose([T.Center(), T.AddSelfLoops()])
  
      pos = torch.tensor([[0.0, 0.0], [2.0, 0.0], [4.0, 0.0]])
      edge_index = torch.tensor([[0, 1, 1, 2], [1, 0, 2, 1]])
  
      data_list = [
          Data(edge_index=edge_index, pos=pos) for _ in range(3)
      ]
      data_list = transform(data_list)
      assert len(data_list) == 3
      for data in data_list:
          assert len(data) == 2
          assert data.pos.tolist() == [
              [-2.0, 0.0],
              [0.0, 0.0],
              [2.0, 0.0],
          ]
          assert data.edge_index.size() == (2, 7)
  
imports: import torch
  import torch_geometric.transforms
  from torch_geometric.data import Data
label_desc: Use image node_id 2 for calling a global function with example usage: test_compose_data_list() without return types