code: def maximum_log_likelihood_objective(
      self, *args: Any, **kwargs: Any
  ) -> tf.Tensor:
      assert not args
      assert not kwargs
      return (self.theta + 5) ** 2
  
imports: from typing import Any, Tuple, Type
  import numpy
  import pytest
  import tensorflow
  import tensorflow_probability
  from tensorflow_probability.python.bijectors import Exp
  from tensorflow_probability.python.distributions import Uniform
  import gpflow
  from gpflow.base import AnyNDArray, PriorOn
  from gpflow.config import set_default_float
  from gpflow.utilities import to_default_float
label_desc: Use image node_id 2 for calling the DummyModel obj's underlying member method code with example usage: obj.maximum_log_likelihood_objective() and returns: unknown