code: def testMarkovChainLogprobMatchesOriginal(self):
      model = lorenz_system.ConvectionLorenzBridgeUnknownScales(
          use_markov_chain=False
      )
      markov_chain_model = (
          lorenz_system.ConvectionLorenzBridgeUnknownScales(
              use_markov_chain=True
          )
      )
  
      x = self.evaluate(
          model.prior_distribution().sample(
              20, seed=tfp_test_util.test_seed()
          )
      )
      self.assertAllClose(
          model.unnormalized_log_prob(x),
          markov_chain_model.unnormalized_log_prob(
              type(markov_chain_model.dtype)(
                  x[0], x[1], tf.stack(x[2:], axis=-2)
              )
          ),
          atol=1e-2,
      )
  
imports: import functools
  import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.internal import test_util
  from inference_gym.internal import test_util
  from inference_gym.targets import lorenz_system
label_desc: Use image node_id 5 for calling the LorenzSystemUnknownScalesTest obj's underlying member method code with example usage: obj.testMarkovChainLogprobMatchesOriginal() without return types