code: def test_categorical_dimension_equality(categories):
      dim = Categorical(categories)
      # Assert equality with identical `Categorical`
      assert dim == Categorical(categories)
      # Assert inequality with `Categorical`, whose final value differs
      assert dim != Categorical(categories[:-1] + ("zzz",))
  
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 3 for calling a global function with example usage: test_categorical_dimension_equality(categories) without return types