code: def test_data_generate_ids():
      x = torch.randn(3, 8)
      edge_index = torch.tensor([[0, 0, 1, 1, 2], [1, 1, 0, 2, 1]])
  
      data = Data(x=x, edge_index=edge_index)
      assert len(data) == 2
  
      data.generate_ids()
      assert len(data) == 4
      assert data.n_id.tolist() == [0, 1, 2]
      assert data.e_id.tolist() == [0, 1, 2, 3, 4]
  
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 16 for calling a global function with example usage: test_data_generate_ids() without return types