How to use the deepdiff.helper.add_to_frozen_set function in deepdiff

child_relationship_param=i)
                self.__report_result('iterable_item_removed', change_level)

            elif x is ListItemRemovedOrAdded:  # new item added
                change_level = level.branch_deeper(
                    notpresent,
                    y,
                    child_relationship_class=child_relationship_class,
                    child_relationship_param=i)
                self.__report_result('iterable_item_added', change_level)

            else:  # check if item value has changed
                item_id = id(x)
                if parents_ids and item_id in parents_ids:
                    continue
                parents_ids_added = add_to_frozen_set(parents_ids, item_id)

                # Go one level deeper
                next_level = level.branch_deeper(
                    x,
                    y,
                    child_relationship_class=child_relationship_class,
                    child_relationship_param=i)
                self.__diff(next_level, parents_ids_added)

def _prep_dict(self, obj, parent, parents_ids=EMPTY_FROZENSET, print_as_attribute=False, original_type=None):

        result = []

        key_text = "%s{}".format(INDEX_VS_ATTRIBUTE[print_as_attribute])
        for key, item in obj.items():
            key_formatted = "'%s'" % key if not print_as_attribute and isinstance(key, strings) else key
            key_in_report = key_text % (parent, key_formatted)

            key_hash = self._hash(key, parent=key_in_report, parents_ids=parents_ids)
            item_id = get_id(item)
            if (parents_ids and item_id in parents_ids) or self._skip_this(item, parent=key_in_report):
                continue
            parents_ids_added = add_to_frozen_set(parents_ids, item_id)
            hashed = self._hash(item, parent=key_in_report, parents_ids=parents_ids_added)
            hashed = KEY_TO_VAL_STR.format(key_hash, hashed)
            result.append(hashed)

        result.sort()
        result = ';'.join(result)
        if print_as_attribute:
            type_ = original_type or type(obj)
            type_str = type_.__name__
            for type_group in self.ignore_type_in_groups:
                if self.type_check_func(type_, type_group):
                    type_str = ','.join(map(lambda x: x.__name__, type_group))
                    break
        else:
            type_str = 'dict'
        return "%s:{%s}" % (type_str, result)

for key in t_keys_removed:
            key = t1_clean_to_keys[key] if t1_clean_to_keys else key
            change_level = level.branch_deeper(
                t1[key],
                notpresent,
                child_relationship_class=rel_class,
                child_relationship_param=key)
            self.__report_result(item_removed_key, change_level)

        for key in t_keys_intersect:  # key present in both dicts - need to compare values
            key1 = t1_clean_to_keys[key] if t1_clean_to_keys else key
            key2 = t2_clean_to_keys[key] if t2_clean_to_keys else key
            item_id = id(t1[key1])
            if parents_ids and item_id in parents_ids:
                continue
            parents_ids_added = add_to_frozen_set(parents_ids, item_id)

            # Go one level deeper
            next_level = level.branch_deeper(
                t1[key1],
                t2[key2],
                child_relationship_class=rel_class,
                child_relationship_param=key)
            self.__diff(next_level, parents_ids_added)

def _prep_iterable(self, obj, parent, parents_ids=EMPTY_FROZENSET):

        result = defaultdict(int)

        for i, item in enumerate(obj):
            if self._skip_this(item, parent="{}[{}]".format(parent, i)):
                continue

            item_id = get_id(item)
            if parents_ids and item_id in parents_ids:
                continue

            parents_ids_added = add_to_frozen_set(parents_ids, item_id)
            hashed = self._hash(item, parent=parent, parents_ids=parents_ids_added)
            # counting repetitions
            result[hashed] += 1

        if self.ignore_repetition:
            result = list(result.keys())
        else:
            result = [
                '{}|{}'.format(i, v) for i, v in result.items()
            ]

        result = sorted(map(str, result))  # making sure the result items are string and sorted so join command works.
        result = ','.join(result)
        result = KEY_TO_VAL_STR.format(type(obj).__name__, result)

        return result

if self.__skip_this(thing, parent=new_parent):
                continue

            if self.case_sensitive or not isinstance(thing, strings):
                thing_cased = thing
            else:
                thing_cased = thing.lower()

            if thing_cased == item:
                self.__report(
                    report_key='matched_values', key=new_parent, value=thing)
            else:
                item_id = id(thing)
                if parents_ids and item_id in parents_ids:
                    continue
                parents_ids_added = add_to_frozen_set(parents_ids, item_id)
                self.__search(thing, item, "%s[%s]" %
                              (parent, i), parents_ids_added)

obj_keys = set(obj.keys())

        for item_key in obj_keys:
            if not print_as_attribute and isinstance(item_key, strings):
                item_key_str = "'%s'" % item_key
            else:
                item_key_str = item_key

            obj_child = obj[item_key]

            item_id = id(obj_child)

            if parents_ids and item_id in parents_ids:
                continue

            parents_ids_added = add_to_frozen_set(parents_ids, item_id)

            new_parent = parent_text % (parent, item_key_str)
            new_parent_cased = new_parent if self.case_sensitive else new_parent.lower()

            str_item = str(item)
            if (self.match_string and str_item == new_parent_cased) or\
               (not self.match_string and str_item in new_parent_cased):
                self.__report(
                    report_key='matched_paths',
                    key=new_parent,
                    value=obj_child)

            self.__search(
                obj_child,
                item,
                parent=new_parent,