code: def __init__(
      self,
      time_step_spec: ts.TimeStep,
      action_spec: types.NestedArraySpec,
      policy_state_spec: types.NestedArraySpec = (),
      info_spec: types.NestedArraySpec = (),
  ):
      seed = 987654321
      self._rng = np.random.RandomState(seed)
      super(MockPyPolicy, self).__init__(
          time_step_spec=time_step_spec,
          action_spec=action_spec,
          policy_state_spec=policy_state_spec,
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tf_agents.policies import batched_py_policy
  from tf_agents.policies import py_policy
  from tf_agents.specs import array_spec
  from tf_agents.trajectories import policy_step
  from tf_agents.trajectories import time_step
  from tf_agents.typing import types
label_desc: Use image node_id 1 to create a new MockPyPolicy object from inherited base classes: py_policy with example: obj = MockPyPolicy(time_step_spec, action_spec, policy_state_spec, info_spec)