code: def _get_verbose_addon(qc_dict):
      alpha = qc_dict["alpha"]
      params = qc_dict["params"]
      fprime = qc_dict["fprime"]
      passed_array = qc_dict["passed_array"]
  
      addon = "\n------ verbose QC printout -----------------"
      addon = "\n------ Recall the problem was rescaled by 1 / nobs ---"
      addon += "\n|%-10s|%-10s|%-10s|%-10s|" % (
          "passed",
          "alpha",
          "fprime",
          "param",
      )
      addon += "\n--------------------------------------------"
      for i in range(len(alpha)):
          addon += "\n|%-10s|%-10.3e|%-10.3e|%-10.3e|" % (
              passed_array[i],
              alpha[i],
              fprime[i],
              params[i],
          )
      return addon
  
imports: import numpy
  from statsmodels.tools.sm_exceptions import ConvergenceWarning
label_desc: Use image node_id 2 for calling a global function with example usage: _get_verbose_addon(qc_dict) and returns: addon