code: def test_parameters_update(parameters):
      """Tests for updating a Parameters class."""
      pars, exp_attr_values_A, exp_attr_values_B = parameters
  
      msg = r"'test' is not a Parameters object"
      with pytest.raises(ValueError, match=msg):
          pars.update("test")
  
      pars2 = lmfit.Parameters()
      pars2.add(
          lmfit.Parameter(
              name="c",
              value=7.0,
              vary=True,
              min=-70.0,
              max=70.0,
              expr=None,
              brute_step=0.7,
              user_data=7,
          )
      )
      exp_attr_values_C = ("c", 7.0, True, -70.0, 70.0, None, 0.7, 7)
  
      pars_updated = pars.update(pars2)
  
      assert_parameter_attributes(pars_updated["a"], exp_attr_values_A)
      assert_parameter_attributes(pars_updated["b"], exp_attr_values_B)
      assert_parameter_attributes(pars_updated["c"], exp_attr_values_C)
  
imports: from copy import copy, deepcopy
  import os
  import pickle
  import numpy
  from numpy.testing import assert_allclose
  import pytest
  import lmfit
  from lmfit.models import VoigtModel
label_desc: Use image node_id 8 for calling a global function with example usage: test_parameters_update(parameters) without return types