code: def testMALAIsCalibrated(self):
      mala = langevin.MetropolisAdjustedLangevinAlgorithm(
          target_log_prob_fn=lambda x: -tf.square(x) / 2.0,
          step_size=0.1,
      )
      self.assertTrue(mala.is_calibrated)
  
imports: import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import mvn_tril
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.internal import distribute_lib
  from tensorflow_probability.python.internal import distribute_test_lib
  from tensorflow_probability.python.internal import samplers
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.mcmc import langevin
  from tensorflow_probability.python.mcmc import sample
label_desc: Use image node_id 5 for calling the LangevinTest obj's underlying member method code with example usage: obj.testMALAIsCalibrated() without return types