docs: def get_results_info(self, filename=None):
          """
          Read pmag_results.txt file.
          Parse information into dictionaries for each item.
          Then add it to the item object as object.results_data.
          """
          if not filename:
              short_filename = "pmag_results.txt"
              magic_file = os.path.join(self.WD, short_filename)
          else:
              magic_file = filename
          if not os.path.isfile(magic_file):
              print('-W- Could not find {} in your working directory {}'.format(short_filename, self.WD))
              return False
          # get the data from the pmag_results.txt file
          data_dict = self.read_magic_file(magic_file, 'by_line_number')[0]
  
          def make_items_list(string, search_items_list):
              names = string.split(':')
              items = []
              for name in names:
                  name = name.strip(' ')
                  item = self.find_by_name(name, search_items_list)
                  if item:
                      items.append(item)
              return items
  
          for num, result in list(data_dict.items()):
              name, specimens, samples, sites, locations = None, None, None, None, None
              for key, value in list(result.items()):
                  #print key, ':', value
                  if key == 'er_specimen_names':
                      specimens = make_items_list(value, self.specimens)
                  if key == 'er_sample_names':
                      samples = make_items_list(value, self.samples)
                  if key == 'er_site_names':
                      sites = make_items_list(value, self.sites)
                  if key == 'er_location_names':
                      locations = make_items_list(value, self.locations)
                  if key == 'pmag_result_name':
                      name = value
              for header_name in ['er_specimen_names', 'er_site_names',
                                  'er_sample_names', 'er_location_names']:
                  if header_name in list(result.keys()):
                      result.pop(header_name)
              if not name:
                  name = num
              result_item = self.find_by_name(name, self.results)
              if not result_item:
                  result_item = Result(name, specimens, samples, sites, locations, result, self.data_model)
              else:
                  print('-W- Two or more results with name: {} found in your result file.\n    Taking only the first.'.format(name))
              if result_item and result_item not in self.results:
                  self.results.append(result_item)