class_docstr: Three vars (one in a sub-module) and compute method.
class_docstr_tok: ["Three","vars","(","one","in","a","sub-module",")","and","compute","method","."]
code: def __init__(self):
      self.x = variables.Variable(1.0, name="variable_x")
      self.y = variables.Variable(2.0, name="variable_y")
      self.child = module.Module()
      self.child.z = variables.Variable(3.0, name="child_variable")
      self.child.c = ops.convert_to_tensor(5.0)
  
imports: import os
  from absl import app
  from tensorflow.python.client import session
  from tensorflow.python.compat import v2_compat
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_spec
  from tensorflow.python.module import module
  from tensorflow.python.ops import io_ops
  from tensorflow.python.ops import lookup_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
  from tensorflow.python.saved_model import save_options
  from tensorflow.python.saved_model import saved_model
  from tensorflow.python.trackable import asset
label_desc: Use image node_id 1 to create a new VarsAndArithmeticObjectGraph object from inherited base classes: module with example: obj = VarsAndArithmeticObjectGraph()