code: def test_batch_with_empty_list():
      x = torch.randn(4, 1)
      edge_index = torch.tensor(
          [[0, 1, 1, 2, 2, 3], [1, 0, 2, 1, 3, 2]]
      )
      data = Data(x=x, edge_index=edge_index, nontensor=[])
  
      batch = Batch.from_data_list([data, data])
      assert batch.nontensor == [[], []]
      assert batch[0].nontensor == []
      assert batch[1].nontensor == []
  
imports: import os.path
  import numpy
  import pytest
  import torch
  import torch_geometric
  from torch_geometric import EdgeIndex
  from torch_geometric.data import Batch, Data, HeteroData
  from torch_geometric.testing import get_random_edge_index, withPackage
  from torch_geometric.typing import SparseTensor
  from torch_geometric.utils import to_edge_index, to_torch_sparse_tensor
label_desc: Use image node_id 11 for calling a global function with example usage: test_batch_with_empty_list() without return types