code: def _get_dataset(self, dataset_range=10, num_sources=1):
      dataset = dataset_ops.Dataset.range(dataset_range)
      if num_sources > 1:
          dataset = dataset_ops.Dataset.zip((dataset,) * num_sources)
      return dataset
  
imports: import collections
  import os
  import pathlib
  import time
  from absl.testing import parameterized
  from tensorflow.python.data.experimental.kernel_tests.service import test_base
  from tensorflow.python.data.experimental.ops import distributed_save_op
  from tensorflow.python.data.experimental.service import _pywrap_snapshot_utils
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import errors
  from tensorflow.python.platform import test
label_desc: Use image node_id 19 for calling the SnapshotFtTest obj's underlying member method code with example usage: obj._get_dataset(dataset_range, num_sources) and returns: dataset