code: def testNestedZip(self):
      num_elements = 10
      cluster = data_service_test_base.TestCluster(num_workers=1)
      a = dataset_ops.Dataset.range(num_elements)
  
      ds = dataset_ops.Dataset.zip((a, a))
      ds = dataset_ops.Dataset.zip((a, a, ds, a))
      ds = self._make_dynamic_sharding_dataset(ds, cluster)
  
      b = list(range(10))
      self.assertDatasetProduces(ds, list(zip(b, b, zip(b, b), b)))
  
imports: import collections
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.data.experimental.kernel_tests.service import test_base
  from tensorflow.python.data.experimental.ops import data_service_ops
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.data.kernel_tests import tf_record_test_base
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.ops import readers
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import errors
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 15 for calling the DynamicShardingTest obj's underlying member method code with example usage: obj.testNestedZip() without return types