docs: def determine_completeness(py_untl):
      """Take a Python untl and calculate the completeness.
  
      Completeness is based on this: metadata_quality.rst documentation.
      Returns a float 0.0 - 1.0.
      """
      # Default values for the completeness dictionary.
      completeness_dict = {
          'title': {'present': False, 'weight': 10, },
          'description': {'present': False, 'weight': 1, },
          'language': {'present': False, 'weight': 1, },
          'collection': {'present': False, 'weight': 10, },
          'institution': {'present': False, 'weight': 10, },
          'resourceType': {'present': False, 'weight': 5, },
          'format': {'present': False, 'weight': 1, },
          'subject': {'present': False, 'weight': 1, },
          'meta': {'present': False, 'weight': 20, },
      }
  
      total_points = sum(item['weight'] for item in completeness_dict.values())
      py_untl_object_score = 0.0
  
      # Iterate through the attributes of the pyuntl record.
      # This loop will toggle the Boolean for scoring.
      for i in py_untl.children:
          # Process attribute that is scorable and has content.
          if i.tag in PYUNTL_COMPLETENESS_SCORED_ATTRIBUTES:
              if i.content:
                  content = i.content.lower()
                  # Try and match against new default placeholders.
                  match = bool(DEFAULT_VALUE_REGEX.search(content))
                  # The content is not a legacy placeholder.
                  if content not in COMMON_DEFAULT_ATTRIBUTE_VALUES and not match:
                      # Only consider <meta qualifier="system"> records.
                      if i.tag == 'meta':
                          if i.qualifier == 'system':
                              completeness_dict['%s' % i.tag]['present'] = True
                      else:
                          completeness_dict['%s' % i.tag]['present'] = True
      # Get total score of the pyuntl object.
      for k, v in completeness_dict.iteritems():
          # If presence was toggled true, adjust score based on weight.
          if v['present']:
              py_untl_object_score += completeness_dict[k]['weight']
      # Calculate the float score completeness.
      completeness = py_untl_object_score / total_points
      return completeness