from sympy.core.logic import fuzzy_and, fuzzy_or, fuzzy_not, fuzzy_xor class intervalMembership: """Represents a boolean expression returned by the comparison of the interval object. Parameters ========== (a, b) : (bool, bool) The first value determines the comparison as follows: - True: If the comparison is True throughout the intervals. - False: If the comparison is False throughout the intervals. - None: If the comparison is True for some part of the intervals. The second value is determined as follows: - True: If both the intervals in comparison are valid. - False: If at least one of the intervals is False, else - None """ def __init__(self, a, b): self._wrapped = (a, b) def __getitem__(self, i): try: return self._wrapped[i] except IndexError: raise IndexError( "{} must be a valid indexing for the 2-tuple." .format(i)) def __len__(self): return 2 def __iter__(self): return iter(self._wrapped) def __str__(self): return "intervalMembership({}, {})".format(*self) __repr__ = __str__ def __and__(self, other): if not isinstance(other, intervalMembership): raise ValueError( "The comparison is not supported for {}.".format(other)) a1, b1 = self a2, b2 = other return intervalMembership(fuzzy_and([a1, a2]), fuzzy_and([b1, b2])) def __or__(self, other): if not isinstance(other, intervalMembership): raise ValueError( "The comparison is not supported for {}.".format(other)) a1, b1 = self a2, b2 = other return intervalMembership(fuzzy_or([a1, a2]), fuzzy_and([b1, b2])) def __invert__(self): a, b = self return intervalMembership(fuzzy_not(a), b) def __xor__(self, other): if not isinstance(other, intervalMembership): raise ValueError( "The comparison is not supported for {}.".format(other)) a1, b1 = self a2, b2 = other return intervalMembership(fuzzy_xor([a1, a2]), fuzzy_and([b1, b2])) def __eq__(self, other): return self._wrapped == other def __ne__(self, other): return self._wrapped != other