class_docstr: Mock policy takes actions 1 and 2, alternating.
class_docstr_tok: ["Mock","policy","takes","actions","1","and","2",",","alternating","."]
code: def _distribution(self, time_step, policy_state):
      raise NotImplementedError("Not implemented.")
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from typing import Any
  import numpy
  import tensorflow
  from tf_agents import specs
  from tf_agents.environments import py_environment
  from tf_agents.policies import py_policy
  from tf_agents.policies import tf_policy
  from tf_agents.replay_buffers import tf_uniform_replay_buffer
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import policy_step
  from tf_agents.trajectories import time_step
  from tf_agents.trajectories import trajectory
  from tf_agents.utils import common
label_desc: Use image node_id 4 for calling the TFPolicyMock obj's underlying member method code with example usage: obj._distribution(time_step, policy_state) without return types