code: def _assertNotCheckpointable(self, dataset):
      iterator = iter(dataset)
      ckpt = trackable_utils.Checkpoint(
          step=variables.Variable(0), iterator=iterator
      )
      manager = checkpoint_management.CheckpointManager(
          ckpt, self.get_temp_dir(), max_to_keep=3
      )
      with self.assertRaises(errors.FailedPreconditionError):
          manager.save()
  
imports: import os
  from absl.testing import parameterized
  from tensorflow.python.checkpoint import checkpoint
  from tensorflow.python.checkpoint import checkpoint_management
  from tensorflow.python.checkpoint import checkpoint_options
  from tensorflow.python.data.experimental.ops import grouping
  from tensorflow.python.data.experimental.ops import interleave_ops
  from tensorflow.python.data.experimental.ops import scan_ops
  from tensorflow.python.data.experimental.ops import take_while_ops
  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 test
  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.ops import gen_dataset_ops
  from tensorflow.python.ops import io_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import parsing_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import script_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import gfile
label_desc: Use image node_id 16 for calling the CheckpointTest obj's underlying member method code with example usage: obj._assertNotCheckpointable(dataset) without return types