self.req_args_0 = {
            'only_if_exists': 0,
            'name': 'fuzzy_prop',
            }
        self.req_bin_0 = '\x10\x00\x00\x05' '\x00\x0a\x00\x00' \

"""These operators are used to build fuzzy rules.
For example:
(A and B) or not C

__revision__ = "$Id: setup.py,v 1.2 2003/02/13 08:45:30 rliebscher Exp $"
from distutils.core import setup
setup (name = "pyfuzzy",
       version = "0.0.1",
       description = "Python Fuzzy Utilities",

""" 
    Base class for any kind of parametric fuzzy norm.
"""
from fuzzy.norm.Norm import Norm

"""
    Calculate value for fuzzy rule.
    Used to build fuzzy rules.
"""

"""Initialize the fuzzy module.
"""
__revision__ = "$Id: __init__.py,v 1.2 2003/03/20 08:47:27 rliebscher Exp $"

__revision__ = "$Id: ZFunction.py,v 1.3 2003/03/20 08:47:28 rliebscher Exp $"
from fuzzy.set.SFunction import SFunction
class ZFunction(SFunction):
    """Z shaped fuzzy set."""

    g("set output")
def main():
    import fuzzy
    import fuzzy.System
    import fuzzy.Variable

__revision__ = "$Id: Function.py,v 1.3 2003/03/20 08:47:27 rliebscher Exp $"
from fuzzy.set.Set import Set
class Function(Set):
    """Base class for any fuzzy set defined by a function (not a polygon)."""

from fuzzy.norm.Norm import NormException
from fuzzy.norm.ParametricNorm import ParametricNorm
class FuzzyAnd(ParametricNorm):

from fuzzy.norm.Norm import NormException
from fuzzy.norm.ParametricNorm import ParametricNorm
class FuzzyOr(ParametricNorm):

from fuzzy.norm.Norm import Norm
class Max(Norm):
    def __init__(self):

from fuzzy.norm.Norm import Norm
class ArithmeticMean(Norm):
    def __init__(self):

from fuzzy.norm.Norm import Norm
class GeometricMean(Norm):
    def __init__(self):

from fuzzy.norm.Norm import Norm
class HarmonicMean(Norm):
    def __init__(self):

from fuzzy.norm.Norm import Norm
class Min(Norm):
    def __init__(self):

from fuzzy.norm.Norm import NormException
from fuzzy.norm.ParametricNorm import ParametricNorm
class GammaOperator(ParametricNorm):

from fuzzy.norm.Norm import NormException
from fuzzy.norm.ParametricNorm import ParametricNorm
class AlgebraicProdSum(ParametricNorm):

from fuzzy.norm.Norm import NormException
from fuzzy.norm.ParametricNorm import ParametricNorm
class MinMax(ParametricNorm):

__revision__ = "$Id: Input.py,v 1.3 2003/03/20 08:47:27 rliebscher Exp $"
from fuzzy.operator.Operator import Operator
class Input(Operator):
    """Special operator which gets it value from a fuzzy adjective."""

#!/usr/bin/env python
__revision__ = "$Id: test_defuzzyfication.py,v 1.2 2003/03/20 08:47:28 rliebscher Exp $"
def get_classes():
    import os,sys,imp

    return string.join(bins2, ' \\\n            ')
request_var_defs = {
    'InternAtom': ('fuzzy_prop', ),
    'ChangeProperty': [((8, ''), ),
                       ((8, 'foo'), ),

__revision__ = "$Id: OutputVariableCOG.py,v 1.5 2003/04/14 08:49:31 rliebscher Exp $"
from fuzzy.OutputVariable import OutputVariable
from fuzzy.set.Set import Set,merge,norm
from fuzzy.set.Polygon import Polygon

__revision__ = "$Id: Rule.py,v 1.2 2003/03/20 08:47:27 rliebscher Exp $"
from fuzzy.norm.Min import Min
class Rule:
    """This is realizes an important part of the inferenz engine.

    return i == len(neighborList0) 
################################################################################
# Fuzzy comparisons.
################################################################################
def fuzzyEqual(lhs, rhs,