code: def test_sample_relative_1d() -> None:
      independent_sampler = optuna.samplers.RandomSampler()
      sampler = optuna.integration.PyCmaSampler(
          independent_sampler=independent_sampler
      )
      study = optuna.create_study(sampler=sampler)
  
      # If search space is one dimensional, the independent sampler is always used.
      with patch.object(
          independent_sampler,
          "sample_independent",
          wraps=independent_sampler.sample_independent,
      ) as mock_object:
          study.optimize(
              lambda t: t.suggest_int("x", -1, 1), n_trials=2
          )
          assert mock_object.call_count == 2
  
imports: import math
  from typing import Any
  from typing import Dict
  from unittest.mock import call
  from unittest.mock import patch
  import warnings
  import _pytest.capture
  import pytest
  import optuna
  from optuna._imports import try_import
  from optuna.distributions import BaseDistribution
  from optuna.distributions import CategoricalDistribution
  from optuna.distributions import FloatDistribution
  from optuna.distributions import IntDistribution
  from optuna.integration.cma import _Optimizer
  from optuna.study._study_direction import StudyDirection
  from optuna.testing.distributions import UnsupportedDistribution
  from optuna.testing.trials import _create_frozen_trial
  from optuna.trial import Trial
  from optuna.trial import TrialState
label_desc: Use image node_id 5 for calling the TestPyCmaSampler obj's underlying member method code with example usage: obj.test_sample_relative_1d() without return types