code: def test_normalize_dimensions_transform(dimensions, normalizations):
      """Test that dimensions' :attr:`transform_` have been set to the expected value after invoking
      :func:`normalize_dimensions`"""
      space = normalize_dimensions(dimensions)
      for dimension, normalization in zip(space, normalizations):
          assert dimension.transform_ == normalization
  
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 29 for calling a global function with example usage: test_normalize_dimensions_transform(dimensions, normalizations) without return types