code: def test_convert_single_saveable_renamed(self):
      class MyTrackable(base.Trackable):
          def __init__(self):
              self.a = variables.Variable(15.0)
  
          def _gather_saveables_for_checkpoint(self):
              return {
                  "a": lambda name: _VarSaveable(
                      self.a, "", name + "-value"
                  )
              }
  
      t = MyTrackable()
      converter = _create_converted_trackable(t)
  
      serialized_tensors = converter._serialize_to_tensors()
  
      self.assertLen(serialized_tensors, 1)
      self.assertEqual(15, self.evaluate(serialized_tensors["a-value"]))
  
      with self.assertRaisesRegex(
          ValueError, "Could not restore object"
      ):
          converter._restore_from_tensors({"a": 1.0})
  
      self.assertEqual(15, self.evaluate(t.a))
      converter._restore_from_tensors({"a-value": 456.0})
      self.assertEqual(456, self.evaluate(t.a))
  
imports: import os
  from tensorflow.python.checkpoint import checkpoint
  from tensorflow.python.eager import context
  from tensorflow.python.eager import test
  from tensorflow.python.framework import dtypes
  from tensorflow.python.ops import gen_resource_variable_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.trackable import base
  from tensorflow.python.trackable import resource
  from tensorflow.python.training.saving import saveable_object
  from tensorflow.python.training.saving import saveable_object_util
label_desc: Use image node_id 3 for calling the SaveableCompatibilityConverterTest obj's underlying member method code with example usage: obj.test_convert_single_saveable_renamed() and returns: dict