code: def test_dimension_with_invalid_names(name):
      with pytest.raises(
          ValueError,
          match="Dimension's name must be one of: string, tuple, or None",
      ):
          Real(1, 2, name=name)
  
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 26 for calling a global function with example usage: test_dimension_with_invalid_names(name) without return types