code: def testOldStyleReader(self):
      with self.assertRaisesRegex(
          TypeError,
          r"The `reader` argument must return a `Dataset` object. "
          r"`tf.ReaderBase` subclasses are not supported.",
      ):
          _ = readers.make_batched_features_dataset(
              file_pattern=self._filenames[0],
              batch_size=32,
              features={
                  "file": parsing_ops.FixedLenFeature([], dtypes.int64),
                  "record": parsing_ops.FixedLenFeature(
                      [], dtypes.int64
                  ),
                  "keywords": parsing_ops.VarLenFeature(dtypes.string),
                  "label": parsing_ops.FixedLenFeature(
                      [], dtypes.string
                  ),
              },
              reader=io_ops.TFRecordReader,
          )
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.data.experimental.ops import readers
  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.data.util import nest
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import tensor
  from tensorflow.python.ops import io_ops
  from tensorflow.python.ops import parsing_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 8 for calling the MakeBatchedFeaturesDatasetTest obj's underlying member method code with example usage: obj.testOldStyleReader() without return types