text: """The module provides basic auxiliary functions for the test modules."""
  import glob
  import os
  import shlex
  
  import numpy as np
  
  
  def cleanup(options=None):
      """The function deletes package related output files."""
      fnames = glob.glob("*.grmpy.*")
  
      if options is None:
          for f in fnames:
              os.remove(f)
      elif options == "regression":
          for f in fnames:
              if f.startswith("regression"):
                  pass
              else:
                  os.remove(f)
      elif options == "init_file":
          for f in fnames:
              if f.startswith("test.grmpy"):
                  pass
              else:
                  os.remove(f)
  
  
  def dict_transformation(dict_):
      varnames = []
      vartypes = {}
      for section in ["TREATED", "UNTREATED", "CHOICE"]:
          for variable in dict_[section]["order"]:
              if variable not in varnames:
                  vartypes[variable] = dict_[section]["types"][
                      dict_[section]["order"].index(variable)
                  ]
      for section in ["TREATED", "UNTREATED", "CHOICE", "DIST"]:
          dict_[section]["params"] = np.around(dict_[section].pop("all"), 4).tolist()
          dict_[section].pop("types", None)
  
      dict_["varnames"] = varnames
  
      for variable in vartypes:
          if isinstance(vartypes[variable], list):
              vartypes[variable][1] = float(np.around(vartypes[variable][1], 4))
      dict_["VARTYPES"] = vartypes
      return dict_
  
  
  def read_desc(fname):
      """The function reads the descriptives output file and returns a dictionary that
      contains the relevant parameters for test6 in test_integration.py.
      """
      dict_ = {}
      with open(fname, "r") as handle:
          for i, line in enumerate(handle):
              list_ = shlex.split(line)
              if 7 <= i < 10:
                  if list_[0] in ["ALL", "TREATED", "UNTREATED"]:
                      dict_[list_[0]] = {}
                      dict_[list_[0]]["Number"] = list_[1:]
              elif 20 <= i < 23:
                  if list_[0] == "Observed":
                      dict_["ALL"][list_[0] + " " + list_[1]] = list_[2:]
                  else:
                      dict_["ALL"][list_[0] + " " + list_[1] + " " + list_[2]] = list_[3:]
              elif 29 <= i < 32:
                  if list_[0] == "Observed":
                      dict_["TREATED"][list_[0] + " " + list_[1]] = list_[2:]
                  else:
                      dict_["TREATED"][
                          list_[0] + " " + list_[1] + " " + list_[2]
                      ] = list_[3:]
              elif 38 <= i < 41:
                  if list_[0] == "Observed":
                      dict_["UNTREATED"][list_[0] + " " + list_[1]] = list_[2:]
                  else:
                      dict_["UNTREATED"][
                          list_[0] + " " + list_[1] + " " + list_[2]
                      ] = list_[3:]
  
          # Process the string in int and float values
          for key_ in dict_.keys():
  
              dict_[key_]["Number"] = [int(i) for i in dict_[key_]["Number"]]
              for subkey in [
                  "Observed Sample",
                  "Simulated Sample (finish)",
                  "Simulated Sample (start)",
              ]:
                  dict_[key_][subkey] = [
                      float(j) for j in dict_[key_][subkey] if j != "---"
                  ]
  
      return dict_
  