code: def test_categorical_distance():
      # TODO: Refactor - Use PyTest
      categories = ["car", "dog", "orange"]
      cat = Categorical(categories)
      for cat1 in categories:
          for cat2 in categories:
              delta = cat.distance(cat1, cat2)
              if cat1 == cat2:
                  assert delta == 0
              else:
                  assert delta == 1
  
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 19 for calling a global function with example usage: test_categorical_distance() without return types