code: def test_is_calibrated(self):
      with warnings.catch_warnings(record=True) as triggered:
          kernel = test_fixtures.TestTransitionKernel(
              is_calibrated=False
          )
          sample_chain_with_burnin(
              num_results=2,
              current_state=0.0,
              kernel=kernel,
              trace_fn=lambda current_state, kernel_results: kernel_results,
              seed=test_util.test_seed(),
          )
      self.assertTrue(
          any(
              "supplied `TransitionKernel` is not calibrated."
              in str(warning.message)
              for warning in triggered
          )
      )
  
imports: import collections
  import warnings
  from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.experimental.mcmc import covariance_reducer
  from tensorflow_probability.python.experimental.mcmc import expectations_reducer
  from tensorflow_probability.python.experimental.mcmc.internal import test_fixtures
  from tensorflow_probability.python.experimental.mcmc.sample_fold import sample_chain_with_burnin
  from tensorflow_probability.python.experimental.mcmc.sample_fold import sample_fold
  from tensorflow_probability.python.internal import samplers
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.mcmc import hmc
label_desc: Use image node_id 6 for calling the SampleChainTest obj's underlying member method code with example usage: obj.test_is_calibrated() without return types