code: def _get_roi_suite_params():
      i = 0
      rng = np.random.default_rng(1902)
      for roi_params in roi_args:
          for fortran_order in [False, True, None]:
              for device in (
                  ["cpu", "gpu"] if is_gds_supported() else ["cpu"]
              ):
                  fill_value = rng.choice([None, 10.0])
                  yield (i,) + roi_params + (
                      fortran_order,
                      device,
                      fill_value,
                  )
                  i += 1
  
imports: from nvidia.dali import Pipeline, pipeline_def
  import nvidia.dali.fn
  import nvidia.dali.types
  import nvidia.dali.backend
  import numpy
  from numpy.testing import assert_array_equal
  import os
  import platform
  import random
  import tempfile
  from nose_utils import assert_raises
  from nose import SkipTest
  from nose2.tools import params, cartesian_params
  from test_utils import compare_pipelines, to_array
label_desc: Use image node_id 24 for calling a global function with example usage: _get_roi_suite_params() without return types