code: def test_is_calibrated(self):
      calibrated_kernel = test_fixtures.TestTransitionKernel()
      uncalibrated_kernel = test_fixtures.TestTransitionKernel(
          is_calibrated=False
      )
      calibrated_thinner = thinning_kernel.ThinningKernel(
          calibrated_kernel, 0
      )
      uncalibrated_thinner = thinning_kernel.ThinningKernel(
          uncalibrated_kernel, 0
      )
      self.assertTrue(calibrated_thinner.is_calibrated)
      self.assertFalse(uncalibrated_thinner.is_calibrated)
  
file_path: probability/tensorflow_probability/python/experimental/mcmc/thinning_kernel_test.py
imports: import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.experimental.mcmc import covariance_reducer
  from tensorflow_probability.python.experimental.mcmc import thinning_kernel
  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 samplers
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 4 for calling the ThinningTest obj's underlying member method code with example usage: obj.test_is_calibrated() without return types