code: def _distribution(self, time_step, policy_state):
      action_distribution = tf.nest.map_structure(
          lambda loc: tfp.distributions.Deterministic(loc=loc),
          time_step.observation,
      )
      return policy_step.PolicyStep(
          action_distribution, 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 2 for calling the TfPassThroughPolicy obj's underlying member method code with example usage: obj._distribution(time_step, policy_state) and returns: policy_step