code: def test_seed_reproducibility(self):
      fake_kernel = test_fixtures.RandomTransitionKernel()
      fake_reducer = test_fixtures.NaiveMeanReducer()
      seed = test_util.test_seed(sampler_type="stateless")
      first_reduction_rslt, _, _ = sample_fold(
          num_steps=3,
          current_state=0.0,
          kernel=fake_kernel,
          reducer=fake_reducer,
          seed=seed,
      )
      second_reduction_rslt, _, _ = sample_fold(
          num_steps=3,
          current_state=0.0,
          kernel=fake_kernel,
          reducer=fake_reducer,
          seed=seed,
      )
      first_reduction_rslt, second_reduction_rslt = self.evaluate(
          [first_reduction_rslt, second_reduction_rslt]
      )
      self.assertEqual(first_reduction_rslt, second_reduction_rslt)
  
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 8 for calling the SampleFoldTest obj's underlying member method code with example usage: obj.test_seed_reproducibility() without return types