code: def testDistributionRaisesNotImplementedError(self):
      mock_tf_py_policy = tf_py_policy.TFPyPolicy(
          self._get_mock_py_policy()
      )
      observation = tf.ones([5], tf.float32)
      time_step = ts.restart(observation)
      with self.assertRaises(NotImplementedError):
          mock_tf_py_policy.distribution(time_step=time_step)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing.absltest import mock
  import numpy
  import tensorflow
  from tf_agents.policies import py_policy
  from tf_agents.policies import random_py_policy
  from tf_agents.policies import tf_py_policy
  from tf_agents.specs import array_spec
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import policy_step
  from tf_agents.trajectories import time_step
  from tf_agents.utils import nest_utils
  from tf_agents.utils import test_utils
label_desc: Use image node_id 4 for calling the TFPyPolicyTest obj's underlying member method code with example usage: obj.testDistributionRaisesNotImplementedError() without return types