code: def test_tensorlist_str_scalars():
      arr = np.arange(10)
      tl = TensorListCPU(arr)
      params = [
          arr,
          "DALIDataType.INT64",
          10,
          "[(), (), (), (), (), (), (), (), (), ()]",
      ]
      _test_str(tl, params, _expected_tensorlist_str)
  
imports: import numpy
  import nvidia.dali.fn
  import nvidia.dali.types
  import warnings
  from numpy.testing import assert_array_equal
  from nvidia.dali import pipeline_def
  from nvidia.dali.backend_impl import TensorCPU, TensorListCPU, TensorListGPU
  from nvidia.dali.backend_impl import types
  import nvidia.dali
  from nose_utils import assert_raises
  from nose import SkipTest
  from test_utils import dali_type_to_np, py_buffer_from_address, get_device_memory_info
label_desc: Use image node_id 33 for calling a global function with example usage: test_tensorlist_str_scalars() without return types