code: def testShuffleV2ResourceCapture(self):
      def make_dataset():
          ids = dataset_ops.Dataset.range(10)
          ids = ids.shuffle(1)
  
          def interleave_fn(dataset, _):
              return dataset
  
          dataset = dataset_ops.Dataset.range(1)
          dataset = dataset.interleave(
              functools.partial(interleave_fn, ids)
          )
          return dataset
  
      results = []
      for elem in make_dataset():
          results.append(elem.numpy())
  
      self.assertAllEqual(results, range(10))
  
imports: import collections
  import functools
  import sys
  from absl.testing import parameterized
  import numpy
  from tensorflow.python import pywrap_sanitizers
  from tensorflow.python.checkpoint import checkpoint
  from tensorflow.python.checkpoint import checkpoint_management
  from tensorflow.python.data.experimental.ops import iterator_ops
  from tensorflow.python.data.experimental.ops import random_access
  from tensorflow.python.data.kernel_tests import checkpoint_test_base
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.ops import options
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import random_seed
  from tensorflow.python.framework import tensor_spec
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import check_ops
  from tensorflow.python.ops import stateless_random_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
  from tensorflow.python.training import saver
label_desc: Use image node_id 15 for calling the ShuffleTest obj's underlying member method code with example usage: obj.testShuffleV2ResourceCapture() and returns: dataset, dataset