class_docstr: Wraps a tf.train.Checkpoint to make it more convenient for testing.
code: def save(self):
      self._checkpoint.save(file_prefix=self._prefix)
  
imports: import os
  from absl import logging
  from absl.testing import absltest
  from absl.testing import parameterized
  from sonnet.src import test_utils
  from sonnet.src.conformance import goldens
  from sonnet.src.distribute import replicator
  from sonnet.src.distribute import replicator_test_utils
  import tensorflow
  import tree
label_desc: Use image node_id 2 for calling the TestCheckpoint obj's underlying member method code with example usage: obj.save() without return types