code: def test_integer():
      # TODO: Refactor - Use PyTest
      a = Integer(1, 10)
      for i in range(50):
          r = a.rvs(random_state=i)
          assert 1 <= r
          assert 11 >= r
          assert r in a
  
      random_values = a.rvs(random_state=0, n_samples=10)
      assert_array_equal(random_values.shape, (10))
      assert_array_equal(a.transform(random_values), random_values)
      assert_array_equal(
          a.inverse_transform(random_values), random_values
      )
  
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 9 for calling a global function with example usage: test_integer() without return types