code: def test_numerical_distance_out_of_range(dimension, points: tuple):
      err = "Distance computation requires values within space. Received {} and {}".format(
          *points
      )
      with pytest.raises(RuntimeError, match=err):
          dimension.distance(*points)
  
imports: from hyperparameter_hunter.optimization.backends.skopt.engine import Optimizer
  from hyperparameter_hunter.space.dimensions import Real, Integer, Categorical
  from hyperparameter_hunter.space.space_core import Space, check_dimension, normalize_dimensions
  import numbers
  import numpy
  import pytest
  from sklearn.utils.testing import assert_array_almost_equal, assert_array_equal, assert_equal
label_desc: Use image node_id 20 for calling a global function with example usage: test_numerical_distance_out_of_range(dimension, points) without return types