code: def test_to_hetero_with_bases_validate():
      model = Net1()
      metadata = (["my test"], [("my test", "rel", "my test")])
  
      with pytest.warns(
          UserWarning, match="letters, numbers and underscores"
      ):
          model = to_hetero_with_bases(
              model, metadata, num_bases=4, debug=False
          )
  
imports: from typing import Tuple
  import pytest
  import torch
  from torch import Tensor
  from torch.nn import Linear, ReLU, Sequential
  import torch_geometric.typing
  from torch_geometric.nn import GINEConv, MessagePassing, RGCNConv, SAGEConv, to_hetero_with_bases
  from torch_geometric.typing import SparseTensor
label_desc: Use image node_id 3 for calling a global function with example usage: test_to_hetero_with_bases_validate() without return types