code: def __init__(self, obj, name):
      spec = saveable_object.SaveSpec(obj.read(), "", name)
      self.obj = obj
      super(_StateSaveable, self).__init__(obj, [spec], name)
  
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 1 to create a new _StateSaveable object from inherited base classes: saveable_object with example: obj = _StateSaveable(obj, name)