code: def _new__getattribute__(self, key):
      if key not in (
          "_tf_should_use_helper",
          "_tf_should_use_wrapped_value",
      ):
          object.__getattribute__(self, "_tf_should_use_helper").sate()
      if key in (
          "_tf_should_use_wrapped_value",
          "_tf_should_use_helper",
          "mark_used",
          "__setattr__",
      ):
          return object.__getattribute__(self, key)
      return getattr(
          object.__getattribute__(self, "_tf_should_use_wrapped_value"),
          key,
      )
  
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 3 for calling a global function with example usage: _new__getattribute__(key) and returns: getattr, object