# Path: fuzzy/norm/Max.py
# class Max(Norm):
# 
#     def __init__(self):
#         Norm.__init__(self,Norm.S_NORM)
# 
#     def __call__(self,*args):
#         """Return maximum of given values."""
#         return max(args)
# 
# Path: fuzzy/norm/Min.py
# class Min(Norm):
# 
#     def __init__(self):
#         Norm.__init__(self,Norm.T_NORM)
# 
#     def __call__(self,*args):
#         """Return minimum of given values."""
#         return min(args)
# 
# Path: fuzzy/set/Set.py
# class Set(object):
#     class IntervalGenerator(object):
#     def __call__(self,x):
#         def nextInterval(self,prev,next):
#     def getIntervalGenerator(self):
#     def getCOG(self):


from fuzzy.norm.Max import Max
from fuzzy.norm.Min import Min
from fuzzy.set.Set import norm,merge
import fuzzy.Exception
    def __init__(self, INF=None, ACC=None):
        """
        @param INF: inference norm, used with set of adjective and given value for it
        @type INF: L{fuzzy.norm.Norm.Norm}
        @param ACC: norm for accumulation of set of adjectives
        @type ACC: L{fuzzy.norm.Norm.Norm}
        """
        self.ACC = ACC # accumulation
        self.INF = INF # inference
        self.activated_sets = {}
        self.accumulated_set = None

    def getValue(self,variable):
        """Defuzzyfication."""
        raise DefuzzificationException("don't use the abstract base class")

# helper methods for sub classes

    def accumulate(self,variable,segment_size=None):
        """combining adjective values into one set"""
        self.activated_sets = {}
        temp = None
        for name,adjective in variable.adjectives.items():
            # get precomputed adjective set
            temp2 = norm((self.INF or self._INF),adjective.set,adjective.getMembership(),segment_size)
            self.activated_sets[name] = temp2
            # accumulate all adjectives
            if temp is None:
                temp = temp2
            else:

# Path: fuzzy/norm/Max.py
# class Max(Norm):
# 
#     def __init__(self):
#         Norm.__init__(self,Norm.S_NORM)
# 
#     def __call__(self,*args):
#         """Return maximum of given values."""
#         return max(args)
# 
# Path: fuzzy/norm/Min.py
# class Min(Norm):
# 
#     def __init__(self):
#         Norm.__init__(self,Norm.T_NORM)
# 
#     def __call__(self,*args):
#         """Return minimum of given values."""
#         return min(args)
# 
# Path: fuzzy/set/Set.py
# class Set(object):
#     class IntervalGenerator(object):
#     def __call__(self,x):
#         def nextInterval(self,prev,next):
#     def getIntervalGenerator(self):
#     def getCOG(self):


# Path: fuzzy/defuzzify/Base.py
from fuzzy.norm.Max import Max
from fuzzy.norm.Min import Min
from fuzzy.set.Set import norm,merge
import fuzzy.Exception

    def __init__(self, INF=None, ACC=None):
        """
        @param INF: inference norm, used with set of adjective and given value for it
        @type INF: L{fuzzy.norm.Norm.Norm}
        @param ACC: norm for accumulation of set of adjectives
        @type ACC: L{fuzzy.norm.Norm.Norm}
        """
        self.ACC = ACC # accumulation
        self.INF = INF # inference
        self.activated_sets = {}
        self.accumulated_set = None

    def getValue(self,variable):
        """Defuzzyfication."""
        raise DefuzzificationException("don't use the abstract base class")

# helper methods for sub classes

    def accumulate(self,variable,segment_size=None):
        """combining adjective values into one set"""
        self.activated_sets = {}
        temp = None
        for name,adjective in variable.adjectives.items():
            # get precomputed adjective set
            temp2 = norm((self.INF or self._INF),adjective.set,adjective.getMembership(),segment_size)
            self.activated_sets[name] = temp2
            # accumulate all adjectives
            if temp is None:
                temp = temp2
            else:

                temp = merge((self.ACC or self._ACC),temp,temp2,segment_size)