code: def test_data_subgraph_with_list_field():
      x = torch.arange(5)
      y = list(range(5))
      edge_index = torch.tensor(
          [[0, 1, 1, 2, 2, 3, 3, 4], [1, 0, 2, 1, 3, 2, 4, 3]]
      )
      data = Data(x=x, y=y, edge_index=edge_index)
  
      out = data.subgraph(torch.tensor([1, 2, 3]))
      assert len(out) == 3
      assert out.x.tolist() == out.y == [1, 2, 3]
  
      out = data.subgraph(
          torch.tensor([False, True, True, True, False])
      )
      assert len(out) == 3
      assert out.x.tolist() == out.y == [1, 2, 3]
  
imports: import copy
  import pytest
  import torch
  import torch.multiprocessing
  import torch_geometric
  from torch_geometric.data import Data
  from torch_geometric.data.storage import AttrType
  from torch_geometric.testing import get_random_tensor_frame, withPackage
label_desc: Use image node_id 5 for calling a global function with example usage: test_data_subgraph_with_list_field() without return types