code: def _get_mapping_files():
      """Returns dummy image to video mapping files."""
      # Random indices file.
      train_rand = np.random.permutation(
          range(1, NUM_IMAGES + 1)
      )  # 1-based index
      fobj_rand = tempfile.NamedTemporaryFile(
          delete=False, mode="wb", suffix=".txt"
      )
      fobj_rand.write(
          ",".join([str(x) for x in train_rand])
      )  # pytype: disable=wrong-arg-types
      fobj_rand.close()
  
      # Mapping file.
      fobj_map = tempfile.NamedTemporaryFile(
          delete=False, mode="wb", suffix=".txt"
      )
      assert NUM_IMAGES > NUM_VIDEOS
      assert NUM_IMAGES % NUM_VIDEOS == 0
      vid_ids = list(range(NUM_VIDEOS)) * (NUM_IMAGES // NUM_VIDEOS)
      for vid in vid_ids:
          row = "2011_09_26 2011_09_26_drive_00{:02d}_sync 0000000123".format(
              vid
          )
          fobj_map.write(row + "\n")  # pytype: disable=wrong-arg-types
      fobj_map.close()
  
      return fobj_rand.name, fobj_map.name
  
imports: import os
  import tempfile
  import zipfile
  from absl import app
  from absl import flags
  import numpy
  from tensorflow_datasets.core import utils
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  from tensorflow_datasets.object_detection import kitti
  from tensorflow_datasets.testing import fake_data_utils
label_desc: Use image node_id 9 for calling a global function with example usage: _get_mapping_files() and returns: fobj_rand,  fobj_map