code: def test_spercent_html_table():
      """Regression test for GitHub Issue #768."""
      np.random.seed(2021)
      x = np.random.uniform(size=100)
      y = x + 0.1 * np.random.uniform(size=x.size)
  
      def res(par, x, y):
          return y - par["k"] * x + par["b"]
  
      params = lmfit.Parameters()
      params.add("b", 0, vary=False)
      params.add("k", 1)
  
      fitter = lmfit.Minimizer(res, params, fcn_args=(x, y))
      fit_res = fitter.minimize(method="emcee", steps=5)
      fitreport_html_table(fit_res)
  
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 23 for calling a global function with example usage: test_spercent_html_table() and returns: unknown