code: def _get_mf_gp_options(tune_noise):
      """Gets the options for the dataset."""
      options = load_options(euclidean_gp.euclidean_mf_gp_args)
      options.noise_var_type = (
          "tune" if tune_noise else options.noise_var_type
      )
      return options
  
imports: from __future__ import division
  from argparse import Namespace
  from copy import deepcopy
  import numpy
  from .None import kernel
  from .unittest_euclidean_gp import fit_se_gp_with_dataset, fit_matern_gp_with_dataset, fit_poly_gp_with_dataset
  from .None import euclidean_gp
  from ..utils.base_test_class import BaseTestClass, execute_tests
  from ..utils.general_utils import compute_average_sq_prediction_error
  from ..utils.option_handler import load_options
label_desc: Use image node_id 2 for calling a global function with example usage: _get_mf_gp_options(tune_noise) and returns: options