code: def test_invalid_tell_arguments_list():
      base_estimator = ExtraTreesRegressor(random_state=2)
      opt = Optimizer(
          [(-2.0, 2.0)],
          base_estimator,
          n_initial_points=1,
          acq_optimizer="sampling",
      )
  
      assert_raises(ValueError, opt.tell, [[1.0], [2.0]], [1.0, None])
  
imports: import numpy
  import pytest
  from sklearn.multioutput import MultiOutputRegressor
  from numpy.testing import assert_array_equal
  from numpy.testing import assert_equal
  from numpy.testing import assert_raises
  from skopt import gp_minimize
  from skopt import forest_minimize
  from skopt.benchmarks import bench1, bench1_with_time
  from skopt.benchmarks import branin
  from skopt.learning import ExtraTreesRegressor, RandomForestRegressor
  from skopt.learning import GradientBoostingQuantileRegressor
  from skopt.optimizer import Optimizer
  from scipy.optimize import OptimizeResult
label_desc: Use image node_id 4 for calling a global function with example usage: test_invalid_tell_arguments_list() without return types