code: def testSerializedContainingSparseAndSparseFeatureWithReuse(self):
      expected_idx = (
          sparse_tensor.SparseTensorValue(  # indices, values, shape
              np.array(
                  [[0, 0], [0, 1], [1, 0], [1, 1]], dtype=np.int64
              ),
              np.array([0, 3, 7, 1]),
              np.array([2, 2], dtype=np.int64),
          )
      )  # batch == 4, max_elems = 2
  
      expected_sp = (
          sparse_tensor.SparseTensorValue(  # indices, values, shape
              np.array(
                  [[0, 0], [0, 3], [1, 1], [1, 7]], dtype=np.int64
              ),
              np.array(["a", "b", "d", "c"], dtype="|S"),
              np.array([2, 13], dtype=np.int64),
          )
      )  # batch == 4, max_elems = 13
  
      original = [
          example(
              features=features(
                  {
                      "val": bytes_feature([b"a", b"b"]),
                      "idx": int64_feature([0, 3]),
                  }
              )
          ),
          example(
              features=features(
                  {
                      "val": bytes_feature([b"c", b"d"]),
                      "idx": int64_feature([7, 1]),
                  }
              )
          ),
      ]
  
      serialized = [m.SerializeToString() for m in original]
  
      expected_output = {
          "idx": expected_idx,
          "sp": expected_sp,
      }
  
      self._test(
          ops.convert_to_tensor(serialized),
          {
              "idx": parsing_ops.VarLenFeature(dtypes.int64),
              "sp": parsing_ops.SparseFeature(
                  ["idx"], "val", dtypes.string, [13]
              ),
          },
          expected_values=expected_output,
          create_iterator_twice=True,
      )
  
imports: import copy
  from absl.testing import parameterized
  import numpy
  from tensorflow.core.example import example_pb2
  from tensorflow.core.example import feature_pb2
  from tensorflow.python.data.experimental.ops import parsing_ops
  from tensorflow.python.data.kernel_tests import checkpoint_test_base
  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 options
  from tensorflow.python.eager import context
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import tensor
  from tensorflow.python.ops import parsing_ops
  from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 16 for calling the ParseExampleDatasetTest obj's underlying member method code with example usage: obj.testSerializedContainingSparseAndSparseFeatureWithReuse() without return types