code: def test_data_update():
      data = Data(x=torch.arange(0, 5), y=torch.arange(5, 10))
      other = Data(z=torch.arange(10, 15), x=torch.arange(15, 20))
      data.update(other)
  
      assert len(data) == 3
      assert torch.equal(data.x, torch.arange(15, 20))
      assert torch.equal(data.y, torch.arange(5, 10))
      assert torch.equal(data.z, torch.arange(10, 15))
  
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 13 for calling a global function with example usage: test_data_update() without return types