code: def testZip(self):
      dataset1 = readers.TFRecordDataset(self._createTFRecordFiles())
      dataset2 = readers.TextLineDataset(self._createTextFiles())
  
      dataset = dataset_ops.Dataset.zip((dataset1, dataset2))
      dataset = input_ops.auto_shard_dataset(
          dataset, self._num_shards, self._shard_index
      )
  
      record_fn = lambda r, f: (
          self._record(r, f),
          self._text_line(r, f),
      )
      self._verifySimpleShardingOutput(dataset, record_fn)
  
imports: import os
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.ops import readers
  from tensorflow.python.data.util import structure
  from tensorflow.python.distribute import input_ops
  from tensorflow.python.eager import context
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import test_util
  from tensorflow.python.lib.io import python_io
  from tensorflow.python.ops import gen_dataset_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.platform import test
  from tensorflow.python.util import compat
label_desc: Use image node_id 15 for calling the AutoShardDatasetTest obj's underlying member method code with example usage: obj.testZip() without return types