code: def _new__setattr__(self, key, value):
      if key in (
          "_tf_should_use_helper",
          "_tf_should_use_wrapped_value",
      ):
          return object.__setattr__(self, key, value)
      return setattr(
          object.__getattribute__(self, "_tf_should_use_wrapped_value"),
          key,
          value,
      )
  
imports: import copy
  import sys
  import textwrap
  import traceback
  import types
  from tensorflow.python.eager import context
  from tensorflow.python.framework import ops
  from tensorflow.python.platform import tf_logging
  from tensorflow.python.util import tf_decorator
label_desc: Use image node_id 2 for calling a global function with example usage: _new__setattr__(key, value) and returns: setattr, object