def apply(self, axiom, *args, **kwargs):
given = self
if axiom.apply.__name__ == 'given':
join = False
elif 'join' in kwargs:
join = kwargs['join']
del kwargs['join']
else:
join = True
if join and args and all(isinstance(eq, Boolean) for eq in args):
args = [given, *args]
given = And(*args, evaluate=False, equivalent=args)
return given.apply(axiom, split=True, **kwargs)
if 'depth' in kwargs:
depth = kwargs['depth']
if not depth:
del kwargs['depth']
if 'split' in kwargs:
eqs = self.split()
self, *rest = eqs
args = tuple(rest) + args
del kwargs['split']
return Boolean.apply(self, axiom, *args, **kwargs)
else:
kwargs['depth'] -= 1
else:
return Boolean.apply(self, axiom, *args, **kwargs)
return self.this.function.apply(axiom, *args, **kwargs)
def __new__(cls, expr, predicate=None, value=True):
from sympy import Q
if predicate is None:
predicate = Q.is_true
elif not isinstance(predicate, Predicate):
key = str(predicate)
try:
predicate = getattr(Q, key)
except AttributeError:
predicate = Predicate(key)
if value:
return Boolean.__new__(cls, expr, predicate)
else:
return Not(Boolean.__new__(cls, expr, predicate))
def __new__(cls, expr, predicate=None, value=True):
from sympy import Q
if predicate is None:
predicate = Q.is_true
elif not isinstance(predicate, Predicate):
key = str(predicate)
try:
predicate = getattr(Q, key)
except AttributeError:
predicate = Predicate(key)
if value:
return Boolean.__new__(cls, expr, predicate)
else:
return Not(Boolean.__new__(cls, expr, predicate))
def existent_symbols(self):
free_symbols = Boolean.existent_symbols(self)
bound_symbols = {var.base: var.indices for var in self.bound_symbols if var.is_Slice}
if bound_symbols:
deletes = set()
for symbol in free_symbols:
if symbol.is_Indexed:
base = symbol.base
if base in bound_symbols:
slices = bound_symbols[base]
if len(symbol.indices) == len(slices) and \
all(k >= b and b < e for k, (b, e) in zip(symbol.indices, slices)):
deletes.add(symbol)
free_symbols -= deletes
return free_symbols
def evaluate(formula: Boolean, i: PropInt) -> bool:
"""
Evaluate a SymPy boolean expression against a propositional interpretation.
The symbols not present in the propositional interpretation will be considered False.
>>> from sympy.parsing.sympy_parser import parse_expr
>>> evaluate(parse_expr("a & b"), {"a": True})
False
>>> evaluate(parse_expr("a | b"), {"b": True})
True
>>> evaluate(parse_expr("a"), {"b": True})
False
:param formula: a sympy.logic.boolalg.Boolean.
:param i: a propositional interpretation,
i.e. a mapping from symbol identifiers to True/False
:return: True if the formula is true in the interpretation, False o/w.
"""
return formula.subs(i).replace(Symbol, BooleanFalse) == BooleanTrue()
def test_double_negation():
a = Boolean()
assert ~(~a) == a
def __new__(cls, predicate, arg):
return Boolean.__new__(cls, predicate, arg)
def __new__(cls, name, handlers=None):
obj = Boolean.__new__(cls)
obj.name = name
obj.handlers = handlers or []
return obj
def __new__(cls, predicate, arg):
return Boolean.__new__(cls, predicate, arg)
def __new__(cls, name, handlers=None):
obj = Boolean.__new__(cls)
obj.name = name
obj.handlers = handlers or []
return obj
def __new__(cls, predicate, arg):
if not isinstance(arg, bool):
# XXX: There is not yet a Basic type for True and False
arg = _sympify(arg)
return Boolean.__new__(cls, predicate, arg)
def __new__(cls, predicate, arg):
arg = _sympify(arg)
return Boolean.__new__(cls, predicate, arg)
def __new__(cls, predicate, arg):
arg = _sympify(arg)
return Boolean.__new__(cls, predicate, arg)
def __new__(cls, predicate, arg):
if not isinstance(arg, bool):
# XXX: There is not yet a Basic type for True and False
arg = _sympify(arg)
return Boolean.__new__(cls, predicate, arg)
def __and__(self, eq):
"""Overloading for & operator"""
return Boolean.__and__(self, eq)
