code: def test_generate_mesh_normals():
      transform = GenerateMeshNormals()
      assert str(transform) == "GenerateMeshNormals()"
  
      pos = torch.tensor(
          [
              [0.0, 0.0, 0.0],
              [-2.0, 1.0, 0.0],
              [-1.0, 1.0, 0.0],
              [0.0, 1.0, 0.0],
              [1.0, 1.0, 0.0],
              [2.0, 1.0, 0.0],
          ]
      )
      face = torch.tensor(
          [
              [0, 0, 0, 0],
              [1, 2, 3, 4],
              [2, 3, 4, 5],
          ]
      )
  
      data = transform(Data(pos=pos, face=face))
      assert len(data) == 3
      assert data.pos.tolist() == pos.tolist()
      assert data.face.tolist() == face.tolist()
      assert data.norm.tolist() == [[0.0, 0.0, -1.0]] * 6
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_generate_mesh_normals() without return types