code: def test_len_and_size_bytes(self):
      s1 = SampleBatch(
          {
              "a": np.array([1, 2, 3]),
              "b": {"c": np.array([4, 5, 6])},
              SampleBatch.SEQ_LENS: [1, 2],
          }
      )
      check(len(s1), 3)
      check(
          s1.size_bytes(),
          s1["a"].nbytes
          + s1["b"]["c"].nbytes
          + s1[SampleBatch.SEQ_LENS].nbytes,
      )
  
imports: import copy
  import functools
  import os
  import unittest
  import numpy
  import torch
  import tree
  import ray
  from ray.rllib.models.repeated_values import RepeatedValues
  from ray.rllib.policy.sample_batch import SampleBatch, attempt_count_timesteps, concat_samples
  from ray.rllib.utils.compression import is_compressed
  from ray.rllib.utils.framework import try_import_torch
  from ray.rllib.utils.test_utils import check
  from ray.rllib.utils.torch_utils import convert_to_torch_tensor
label_desc: Use image node_id 3 for calling the TestSampleBatch obj's underlying member method code with example usage: obj.test_len_and_size_bytes() without return types