code: def test_hinsage_constructor_wrong_normalisation():
      with pytest.raises(ValueError):
          hs = HinSAGE(
              layer_sizes=[{"1": 2, "2": 2}, {"1": 2}],
              n_samples=[2, 2],
              input_neighbor_tree=[
                  ("1", [1, 2]),
                  ("1", [3, 4]),
                  ("2", [5]),
                  ("1", []),
                  ("2", []),
                  ("2", []),
              ],
              multiplicity=1,
              input_dim={"1": 2, "2": 2},
              normalize="unknown",
          )
  
imports: import pytest
  import numpy
  import networkx
  from tensorflow import keras
  from tensorflow.keras import regularizers
  from stellargraph import StellarGraph
  from stellargraph.layer.hinsage import *
  from stellargraph.mapper import *
  from ..test_utils.graphs import example_hin_1
  from ..None import test_utils
label_desc: Use image node_id 9 for calling a global function with example usage: test_hinsage_constructor_wrong_normalisation() without return types