code: def test_is_calibrated(self):
      fake_calibrated_kernel = test_fixtures.TestTransitionKernel()
      fake_uncalibrated_kernel = test_fixtures.TestTransitionKernel(
          is_calibrated=False
      )
      fake_reducer = test_fixtures.TestReducer()
      calibrated_reducer_kernel = with_reductions.WithReductions(
          inner_kernel=fake_calibrated_kernel,
          reducer=fake_reducer,
      )
      uncalibrated_reducer_kernel = with_reductions.WithReductions(
          inner_kernel=fake_uncalibrated_kernel,
          reducer=fake_reducer,
      )
      self.assertTrue(calibrated_reducer_kernel.is_calibrated)
      self.assertFalse(uncalibrated_reducer_kernel.is_calibrated)
  
imports: from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import exp
  from tensorflow_probability.python.distributions import mvn_diag
  from tensorflow_probability.python.distributions import mvn_tril
  from tensorflow_probability.python.experimental.mcmc import covariance_reducer
  from tensorflow_probability.python.experimental.mcmc import step
  from tensorflow_probability.python.experimental.mcmc import with_reductions
  from tensorflow_probability.python.experimental.mcmc.internal import test_fixtures
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.mcmc import hmc
  from tensorflow_probability.python.mcmc import sample
  from tensorflow_probability.python.mcmc import simple_step_size_adaptation
  from tensorflow_probability.python.mcmc import transformed_kernel
label_desc: Use image node_id 3 for calling the WithReductionsTest obj's underlying member method code with example usage: obj.test_is_calibrated() without return types