code: def test_normalize_scale():
      transform = NormalizeScale()
      assert str(transform) == "NormalizeScale()"
  
      pos = torch.randn((10, 3))
      data = Data(pos=pos)
  
      data = transform(data)
      assert len(data) == 1
      assert data.pos.min().item() > -1
      assert data.pos.max().item() < 1
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_normalize_scale() without return types