code: def test_predict_marginalized_over_instances_wrong_X_dimensions():
      rs = np.random.RandomState(1)
      F = {}
      for i in range(10):
          F[f"instance-{i}"] = list(rs.rand(2))
  
      model = RandomForest(
          configspace=_get_cs(10),
          instance_features=F,
      )
      X = rs.rand(10)
      with pytest.raises(ValueError, match="Expected 2d array.*"):
          model.predict_marginalized(X)
  
      X = rs.rand(10, 10, 10)
      with pytest.raises(ValueError, match="Expected 2d array.*"):
          model.predict_marginalized(X)
  
file_path: SMAC3/tests/test_model/test_rf.py
imports: import numpy
  import pytest
  from ConfigSpace import CategoricalHyperparameter, ConfigurationSpace, EqualsCondition, OrdinalHyperparameter, UniformFloatHyperparameter, UniformIntegerHyperparameter
  from smac.model.random_forest.random_forest import RandomForest
  from smac.utils.configspace import convert_configurations_to_array
label_desc: Use image node_id 5 for calling a global function with example usage: test_predict_marginalized_over_instances_wrong_X_dimensions() without return types