def justice(self):
"""
The list of sexp expressions defining the set of justice constraints
for this FSM.
.. note::
NUSMV supports two types of fairness constraints, namely justice
constraints and com- passion constraints. A justice constraint
consists of a formula f, which is assumed to be true infinitely
often in all the fair paths. In NUSMV, justice constraints are
identified by keywords JUSTICE and, for backward compatibility,
FAIRNESS.
:return: the list of sexp expressions defining the set of justice
constraints for this FSM.
"""
ptr = _sexp.SexpFsm_get_justice(self._as_SexpFsm_ptr())
return NodeIterator.from_pointer(ptr)
def justice(self):
"""
The list of sexp expressions defining the set of justice constraints
for this FSM.
.. note::
NUSMV supports two types of fairness constraints, namely justice
constraints and com- passion constraints. A justice constraint
consists of a formula f, which is assumed to be true infinitely
often in all the fair paths. In NUSMV, justice constraints are
identified by keywords JUSTICE and, for backward compatibility,
FAIRNESS.
:return: the list of sexp expressions defining the set of justice
constraints for this FSM.
"""
ptr = _sexp.SexpFsm_get_justice(self._as_SexpFsm_ptr())
return NodeIterator.from_pointer(ptr)
def compassion(self):
"""
The list of sexp expressions defining the set of compassion constraints
for this FSM.
.. note::
NUSMV supports two types of fairness constraints, namely justice
constraints and compassion constraints. A justice constraint
consists of a formula f, which is assumed to be true infinitely
often in all the fair paths. A compassion constraint consists of a
pair of formulas (p,q); if property p is true infinitely often in a
fair path, then also formula q has to be true infinitely often in
the fair path. In NUSMV, compassion constraints are identified by
keyword COMPASSION. If compassion constraints are used, then the
model must not contain any input variables. Currently, NUSMV does
not enforce this so it is the responsibility of the user to
make sure that this is the case.
:return: the list of sexp expressions defining the set of compassion
constraints for this FSM.
"""
ptr = _sexp.SexpFsm_get_compassion(self._as_SexpFsm_ptr())
return NodeIterator.from_pointer(ptr)
def compassion(self):
"""
The list of sexp expressions defining the set of compassion constraints
for this FSM.
.. note::
NUSMV supports two types of fairness constraints, namely justice
constraints and compassion constraints. A justice constraint
consists of a formula f, which is assumed to be true infinitely
often in all the fair paths. A compassion constraint consists of a
pair of formulas (p,q); if property p is true infinitely often in a
fair path, then also formula q has to be true infinitely often in
the fair path. In NUSMV, compassion constraints are identified by
keyword COMPASSION. If compassion constraints are used, then the
model must not contain any input variables. Currently, NUSMV does
not enforce this so it is the responsibility of the user to
make sure that this is the case.
:return: the list of sexp expressions defining the set of compassion
constraints for this FSM.
"""
ptr = _sexp.SexpFsm_get_compassion(self._as_SexpFsm_ptr())
return NodeIterator.from_pointer(ptr)
def fairness_iterator(self):
""":return: an iterator to iterate over the fairness list"""
_ptr = _be.BeFsm_get_fairness_list(self._ptr)
_iter = NodeIterator.from_pointer(_ptr)
for fairness in _iter:
yield self._fairness_conversion(fairness)
def test_iterator_string(self):
iterator = NodeIterator.from_node(Node.from_ptr(self._TEST))
self.assertEqual(str(iterator), "NodeIterator[, , ]")
def test_from_node(self):
iterator = NodeIterator.from_node(Node.from_ptr(self._TEST))
lst = [i for i in iterator]
self.assertEqual(2, len(lst))
def test_from_pointer(self):
iterator = NodeIterator.from_pointer(self._TEST)
lst = [i for i in iterator]
self.assertEqual(2, len(lst))
def test_from_node(self):
iterator = NodeIterator.from_node(Node.from_ptr(self._TEST))
lst = [i for i in iterator]
self.assertEqual(2, len(lst))
def test_from_pointer(self):
iterator = NodeIterator.from_pointer(self._TEST)
lst = [i for i in iterator]
self.assertEqual(2, len(lst))
