code: def test_boostrap_results(self):
      fake_kernel = test_fixtures.TestTransitionKernel()
      fake_reducer = test_fixtures.TestReducer()
      reducer_kernel = with_reductions.WithReductions(
          inner_kernel=fake_kernel,
          reducer=fake_reducer,
      )
      pkr = self.evaluate(reducer_kernel.bootstrap_results(9.0))
      self.assertEqual(0, pkr.reduction_results, 0)
      self.assertEqual(0, pkr.inner_results.counter_1, 0)
      self.assertEqual(0, pkr.inner_results.counter_2, 0)
  
imports: from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import exp
  from tensorflow_probability.python.distributions import mvn_diag
  from tensorflow_probability.python.distributions import mvn_tril
  from tensorflow_probability.python.experimental.mcmc import covariance_reducer
  from tensorflow_probability.python.experimental.mcmc import step
  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 test_util
  from tensorflow_probability.python.mcmc import hmc
  from tensorflow_probability.python.mcmc import sample
  from tensorflow_probability.python.mcmc import simple_step_size_adaptation
  from tensorflow_probability.python.mcmc import transformed_kernel
label_desc: Use image node_id 2 for calling the WithReductionsTest obj's underlying member method code with example usage: obj.test_boostrap_results() without return types