code: def testTurnOnStoreParametersInKernelResults(self):
      kernel = FakeWrapperKernel(FakeSteppedKernel(step_size=0.5))
      self.assertFalse(
          kernel.inner_kernel.parameters["store_parameters_in_results"]
      )
      kernel = sssa.SimpleStepSizeAdaptation(
          kernel,
          num_adaptation_steps=1,
          adaptation_rate=_RATE - 1.0 - 1.0,
          validate_args=True,
      )
      self.assertTrue(
          kernel.inner_kernel.inner_kernel.parameters[
              "store_parameters_in_results"
          ]
      )
  
imports: import collections
  import functools
  from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.distributions import sample
  from tensorflow_probability.python.experimental.mcmc import sharded
  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 hmc
  from tensorflow_probability.python.mcmc import kernel
  from tensorflow_probability.python.mcmc import sample
  from tensorflow_probability.python.mcmc import simple_step_size_adaptation
label_desc: Use image node_id 1 for calling the SimpleStepSizeAdaptationTest obj's underlying member method code with example usage: obj.testTurnOnStoreParametersInKernelResults() without return types