code: def test_report_modelpars(fitresult):
      """Verify that model_values are shown when modelpars are given."""
      model = GaussianModel()
      params = model.make_params(amplitude=35, center=7, sigma=0.9)
      report_split = fitresult.fit_report(modelpars=params).split("\n")
      indices = [
          i
          for i, val in enumerate(report_split)
          if (
              "sigma:" in val or "center:" in val or "amplitude:" in val
          )
      ]
      for indx in indices:
          assert "model_value" in report_split[indx]
  
imports: import numpy
  import pytest
  import lmfit
  from lmfit import Minimizer, Parameters, ci_report, conf_interval, fit_report, report_ci, report_fit
  from lmfit.lineshapes import gaussian
  from lmfit.models import GaussianModel
  from lmfit.printfuncs import alphanumeric_sort, correl_table, fitreport_html_table, getfloat_attr, gformat
label_desc: Use image node_id 20 for calling a global function with example usage: test_report_modelpars(fitresult) without return types