code: def testCorrectReadWriteInstruction(self):
      mocknuts = nuts.NoUTurnSampler(
          target_log_prob_fn=lambda x: x,
          max_tree_depth=4,
          step_size=1.0,
      )
  
      self.assertAllEqual(
          mocknuts._write_instruction,
          np.array([0, 4, 1, 4, 1, 4, 2, 4, 1, 4, 2, 4, 2, 4, 3, 4]),
      )
      self.assertAllEqual(
          mocknuts._read_instruction,
          np.array(
              [
                  [0, 0],
                  [0, 1],
                  [0, 0],
                  [0, 2],
                  [0, 0],
                  [1, 2],
                  [0, 0],
                  [0, 3],
                  [0, 0],
                  [1, 2],
                  [0, 0],
                  [1, 3],
                  [0, 0],
                  [2, 3],
                  [0, 0],
                  [0, 4],
              ]
          ),
      )
  
imports: from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import exp
  from tensorflow_probability.python.bijectors import identity
  from tensorflow_probability.python.distributions import beta
  from tensorflow_probability.python.distributions import half_normal
  from tensorflow_probability.python.distributions import independent
  from tensorflow_probability.python.distributions import joint_distribution_coroutine
  from tensorflow_probability.python.distributions import joint_distribution_sequential
  from tensorflow_probability.python.distributions import mvn_diag
  from tensorflow_probability.python.distributions import mvn_tril
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.distributions import sample
  from tensorflow_probability.python.distributions import sigmoid_beta
  from tensorflow_probability.python.distributions import student_t
  from tensorflow_probability.python.distributions.internal import statistical_testing
  from tensorflow_probability.python.internal import assert_util
  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.math import generic
  from tensorflow_probability.python.mcmc import diagnostic
  from tensorflow_probability.python.mcmc import dual_averaging_step_size_adaptation
  from tensorflow_probability.python.mcmc import nuts
  from tensorflow_probability.python.mcmc import sample
  from tensorflow_probability.python.mcmc import transformed_kernel
  from tensorflow_probability.python.stats import sample_stats
label_desc: Use image node_id 3 for calling the NutsTest obj's underlying member method code with example usage: obj.testCorrectReadWriteInstruction() without return types