code: def _get_file_names():
      """Returns the file names expected to exist in the input_dir."""
      file_names = {}
      file_names["train"] = ["data_batch_%d" % i for i in xrange(1, 5)]
      file_names["validation"] = ["data_batch_5"]
      file_names["eval"] = ["test_batch"]
      return file_names
  
file_path: dragonfly/examples/nas/cg/cifar/generate_cifar10_tfrecords.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import argparse
  import cPickle
  import os
  import tarfile
  from six.moves import xrange
  import tensorflow
label_desc: Use image node_id 4 for calling a global function with example usage: _get_file_names() and returns: file_names