code: def _get_batch_helper(self, obs_size, actions, batch_size):
      return SampleBatch(
          {
              SampleBatch.CUR_OBS: np.random.random(size=obs_size),
              SampleBatch.ACTIONS: actions,
              SampleBatch.REWARDS: np.random.random(size=(batch_size,)),
              SampleBatch.TERMINATEDS: np.random.choice(
                  [True, False], size=(batch_size,)
              ),
              SampleBatch.NEXT_OBS: np.random.random(size=obs_size),
              "weights": np.ones(shape=(batch_size,)),
          }
      )
  
imports: import copy
  import re
  import unittest
  import gymnasium
  import numpy
  from gymnasium.spaces import Box
  from rllib_ddpg.ddpg import DDPGConfig
  import ray
  from ray.rllib.policy.sample_batch import SampleBatch
  from ray.rllib.utils.framework import try_import_tf, try_import_torch
  from ray.rllib.utils.numpy import convert_to_numpy, fc, huber_loss, l2_loss, relu, sigmoid
  from ray.rllib.utils.replay_buffers.utils import patch_buffer_with_fake_sampling_method
  from ray.rllib.utils.spaces.simplex import Simplex
  from ray.rllib.utils.test_utils import check, check_compute_single_action, check_train_results, framework_iterator
  from ray.rllib.utils.torch_utils import convert_to_torch_tensor
label_desc: Use image node_id 6 for calling the TestDDPG obj's underlying member method code with example usage: obj._get_batch_helper(obs_size, actions, batch_size) and returns: SampleBatch