code: def testIndefiniteRepeatShapeInference(self):
      dataset = self.make_batch_feature(
          filenames=self._filenames[0],
          label_key="label",
          num_epochs=None,
          batch_size=32,
      )
      for shape, clazz in zip(
          nest.flatten(dataset_ops.get_legacy_output_shapes(dataset)),
          nest.flatten(dataset_ops.get_legacy_output_classes(dataset)),
      ):
          if issubclass(clazz, tensor_lib.Tensor):
              self.assertEqual(32, shape[0])
  
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 7 for calling the MakeBatchedFeaturesDatasetTest obj's underlying member method code with example usage: obj.testIndefiniteRepeatShapeInference() without return types