code: def test_categorical_identity():
      categories = ["cat", "dog", "rat"]
      cat = Categorical(categories, transform="identity")
      samples = cat.rvs(100)
      assert all([t in categories for t in cat.rvs(100)])
      transformed = cat.transform(samples)
      assert_array_equal(transformed, samples)
      assert_array_equal(samples, cat.inverse_transform(transformed))
  
imports: import pytest
  import numbers
  import numpy
  import os
  import yaml
  from tempfile import NamedTemporaryFile
  from numpy.testing import assert_array_almost_equal
  from numpy.testing import assert_array_equal
  from numpy.testing import assert_equal
  from numpy.testing import assert_raises_regex
  from skopt import Optimizer
  from skopt.space import Space
  from skopt.space import Real
  from skopt.space import Integer
  from skopt.space import Categorical
  from skopt.space import check_dimension
  from skopt.utils import normalize_dimensions
label_desc: Use image node_id 26 for calling a global function with example usage: test_categorical_identity() without return types