# Path: privacyscore/evaluation/rating.py
# class Rating:
#     """
#     A rating.
# 
#     It can be critical, bad, warning, good or doubleplusgood.
#     """
#     # rating  : str
#     # influences_ranking  : bool
#     # devaluates_group : bool
# 
#     ORDERING = ['critical', 'bad', 'warning', 'neutral', 'good', 'doubleplusgood']
# 
#     def __init__(self, rating: str, influences_ranking: bool = True, devaluates_group: bool = False):
#         self.rating = rating
#         self.influences_ranking = influences_ranking
#         self.devaluates_group = devaluates_group
# 
#     def __str__(self) -> str:
#         return self.rating
# 
#     def __repr__(self) -> str:
#         return '<Rating {}>'.format(str(self))
# 
#     def __eq__(self, other) -> bool:
#         return self.rating == other.rating
# 
#     def __lt__(self, other) -> bool:
#         return self.ORDERING.index(self.rating) < self.ORDERING.index(other.rating)
# 
#     def __le__(self, other) -> bool:
#         return self.ORDERING.index(self.rating) <= self.ORDERING.index(other.rating)
# 
#     def __gt__(self, other) -> bool:
#         return self.ORDERING.index(self.rating) > self.ORDERING.index(other.rating)
# 
#     def __ge__(self, other) -> bool:
#         return self.ORDERING.index(self.rating) >= self.ORDERING.index(other.rating)


from typing import List, Union
from privacyscore.evaluation.rating import Rating
    @property
    def critical(self):
        return sum(1 for c in self.classifications
                   if c == Rating('critical') and c.influences_ranking)

    @property
    def overall_neutral(self):
        return sum(1 for c in self.classifications
                   if c == Rating('neutral'))

    @property
    def neutral(self):
        return sum(1 for c in self.classifications
                   if c == Rating('neutral') and c.influences_ranking)

    @property
    def devaluating(self):
        return sum(1 for c in self.classifications
                   if c.devaluates_group)

    @property
    def group_rating(self) -> Rating:
        """The rating of the group."""
        if self.devaluating > 0:
            return Rating('neutral', devaluates_group=True)
        if self.critical > 0:
            return Rating('critical')
        if 0 < self.overall_good == self.overall_total > self.good:
            return Rating('doubleplusgood')
        if self.bad == 0 < self.good:

# Path: privacyscore/evaluation/rating.py
# class Rating:
#     """
#     A rating.
# 
#     It can be critical, bad, warning, good or doubleplusgood.
#     """
#     # rating  : str
#     # influences_ranking  : bool
#     # devaluates_group : bool
# 
#     ORDERING = ['critical', 'bad', 'warning', 'neutral', 'good', 'doubleplusgood']
# 
#     def __init__(self, rating: str, influences_ranking: bool = True, devaluates_group: bool = False):
#         self.rating = rating
#         self.influences_ranking = influences_ranking
#         self.devaluates_group = devaluates_group
# 
#     def __str__(self) -> str:
#         return self.rating
# 
#     def __repr__(self) -> str:
#         return '<Rating {}>'.format(str(self))
# 
#     def __eq__(self, other) -> bool:
#         return self.rating == other.rating
# 
#     def __lt__(self, other) -> bool:
#         return self.ORDERING.index(self.rating) < self.ORDERING.index(other.rating)
# 
#     def __le__(self, other) -> bool:
#         return self.ORDERING.index(self.rating) <= self.ORDERING.index(other.rating)
# 
#     def __gt__(self, other) -> bool:
#         return self.ORDERING.index(self.rating) > self.ORDERING.index(other.rating)
# 
#     def __ge__(self, other) -> bool:
#         return self.ORDERING.index(self.rating) >= self.ORDERING.index(other.rating)


# Path: privacyscore/evaluation/group_evaluation.py
from typing import List, Union
from privacyscore.evaluation.rating import Rating

    @property
    def critical(self):
        return sum(1 for c in self.classifications
                   if c == Rating('critical') and c.influences_ranking)

    @property
    def overall_neutral(self):
        return sum(1 for c in self.classifications
                   if c == Rating('neutral'))

    @property
    def neutral(self):
        return sum(1 for c in self.classifications
                   if c == Rating('neutral') and c.influences_ranking)

    @property
    def devaluating(self):
        return sum(1 for c in self.classifications
                   if c.devaluates_group)

    @property
    def group_rating(self) -> Rating:
        """The rating of the group."""
        if self.devaluating > 0:
            return Rating('neutral', devaluates_group=True)
        if self.critical > 0:
            return Rating('critical')
        if 0 < self.overall_good == self.overall_total > self.good:
            return Rating('doubleplusgood')
        if self.bad == 0 < self.good:

            return Rating('good')