code: def test_dimension_count_checking_single_point(
      et_optimizer, tell_x, tell_y
  ):
      with pytest.raises(ValueError, match="Dimensions of point .*"):
          et_optimizer.tell(tell_x, tell_y)
  
imports: from hyperparameter_hunter.optimization.backends.skopt.engine import Optimizer
  import numpy
  import pytest
  from scipy.optimize import OptimizeResult
  from sklearn.multioutput import MultiOutputRegressor
  from sklearn.utils.testing import assert_array_equal
  from skopt.benchmarks import bench1, bench1_with_time
  from skopt.learning import ExtraTreesRegressor, RandomForestRegressor
  from skopt.learning import GradientBoostingQuantileRegressor
label_desc: Use image node_id 13 for calling a global function with example usage: test_dimension_count_checking_single_point(et_optimizer, tell_x, tell_y) without return types