code: def _action(
      self, time_step, policy_state, seed
  ):  # pytype: disable=signature-mismatch  # overriding-parameter-count-checks
      distributions = self._distribution(time_step, policy_state)
      actions = tf.nest.map_structure(
          lambda d: d.sample(), distributions.action
      )
      return policy_step.PolicyStep(actions, policy_state, ())
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from typing import cast
  from absl.testing import parameterized
  import numpy
  import tensorflow
  import tensorflow_probability
  from tf_agents.policies import tf_policy
  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 common
  from tf_agents.utils import test_utils
label_desc: Use image node_id 1 for calling the TfPassThroughPolicy obj's underlying member method code with example usage: obj._action(time_step, policy_state, seed) and returns: policy_step