code: def __init__(self, time_step_spec, action_spec):
      super(StateIncrementPolicy, self).__init__(
          time_step_spec,
          action_spec,
          policy_state_spec=action_spec,
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  import numpy
  from six.moves import range
  import tensorflow
  from tf_agents.policies import temporal_action_smoothing
  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 test_utils
label_desc: Use image node_id 1 to create a new StateIncrementPolicy object from inherited base classes: tf_policy with example: obj = StateIncrementPolicy(time_step_spec, action_spec)