code: def setUp(self):
      super(CEMPolicyTest, self).setUp()
      seed = 1999
      logging.info("Setting the tf seed to %d", seed)
      tf.compat.v1.reset_default_graph()
      tf.compat.v1.set_random_seed(seed)
  
      self._obs_spec = tensor_spec.TensorSpec([2], tf.float32)
      self._time_step_spec = ts.time_step_spec(self._obs_spec)
      self._action_spec = tensor_spec.BoundedTensorSpec(
          [_ACTION_SIZE], tf.float32, 0.0, 1.0
      )
      self._action_spec_hybrid = {
          "continuous": tensor_spec.BoundedTensorSpec(
              [_ACTION_SIZE - _ACTION_SIZE_DISCRETE],
              tf.float32,
              0.0,
              1.0,
          ),
          "discrete": tensor_spec.BoundedTensorSpec(
              [_ACTION_SIZE_DISCRETE], tf.int32, 0, 1
          ),
      }
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl import flags
  from absl import logging
  from absl.testing import parameterized
  import numpy
  import tensorflow
  import tensorflow_probability
  from tf_agents.networks import network
  from tf_agents.policies import qtopt_cem_policy
  from tf_agents.policies.samplers import qtopt_cem_actions_sampler_continuous
  from tf_agents.policies.samplers import qtopt_cem_actions_sampler_continuous_and_one_hot
  from tf_agents.policies.samplers import qtopt_cem_actions_sampler_hybrid
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import time_step
label_desc: Use image node_id 1 for calling the CEMPolicyTest obj's underlying member method code with example usage: obj.setUp() without return types