def _assert(self, modelset, i):
# model is a function from g,a to bool (as an array)
g = new_graph('g')
a = new_action('a')
subpredicate = self.atomic._assert(model_from(g, a), i)
import pdb; pdb.set_trace()
return z3.ForAll([g, a], subpredicate)
def _assert(self, modelset, i, g, a):
g = new_graph('g')
a = new_action('a')
s = new_modelset('s')
t = new_modelset('t')
def is_plus(alpha, beta, a):
# Assert that alpha + beta = a. All of these are Actions.
# This is defined in Definition 2 of the L paper, on page 5.
# TODO: implement this once you have a clear API for Action.
pass
def is_join(modelset, s, t, g, a):
# Assert that modelset behaves, on inputs g and a, like s "joined" with t.
# "joined" is the |><| operator.
alpha = Action('alpha')
beta = Action('beta')
return z3_helpers.Iff(
has(modelset, g, a), z3.Exists(alpha, beta),
z3.And(has(s, g, alpha), has(t, g, beta),
is_plus(alpha, beta, a)))
return z3.ForAll([g, a],
z3.And(self.p1._assert(s, i, g, a),
self.p2._assert(t, i, g, a),
is_join(modelset, s, t, g, a)))
def _assert(self, modelset, i):
g = new_graph('g')
a = new_action('a')
s = new_modelset('s')
return z3.Exists([s], z3.ForAll([g, a],
z3.And(self.pred._assert(s, i),
z3_helpers.Iff(has(modelset, g, a), z3.Not(s(g, a))))))
def _assert(self, modelset, i):
g = new_graph('g')
a = new_action('a')
s = new_modelset('s')
t = new_modelset('t')
return z3.Exists([s, t], z3.ForAll([g, a],
z3.And(self.p1._assert(s, i), self.p2._assert(t, i),
z3_helpers.Iff(has(modelset, g, a), z3.And(has(s, g, a),
has(t, g, a))))))
def _assert(self, modelset, i):
g = new_graph('g')
a = new_action('a')
s = new_modelset('s')
t = new_modelset('t')
def is_plus(alpha, beta, a):
# Assert that alpha + beta = a. All of these are Actions.
# This is defined in Definition 2 of the L paper, on page 5.
# TODO: implement this once you have a clear API for Action.
pass
def is_join(modelset, s, t, g, a):
# Assert that modelset behaves, on inputs g and a, like s "joined" with t.
# "joined" is the |><| operator.
alpha = Action('alpha')
beta = Action('beta')
return z3_helpers.Iff(has(modelset, g, a),
z3.Exists(alpha, beta),
z3.And(has(s, g, alpha), has(t, g, beta), is_plus(alpha, beta, a)))
return z3.Exists([s, t], z3.ForAll([g, a],
z3.And(self.p1._assert(s, i), self.p2._assert(t, i),
is_join(modelset, s, t, g, a))))
def model_from(g, a):
return Model.model(g, a, new_graph('postgraph'))
def has(modelset, g, a):
postgraph = new_graph('postgraph')
return z3.Exists([postgraph], modelset(Model.model(g, a, postgraph)))
def _assert(self, modelset, i, g, a):
g = new_graph('g')
a = new_action('a')
return z3.Exists([g, a], self.pred._assert(modelset, i, g, a))
def _assert(self, modelset, i, g, a):
g = new_graph('g')
a = new_action('a')
return z3.Exists([g, a], self.pred._assert(modelset, i, g, a))
def model_from(g, a):
return Submodel(g, a, new_graph('postgraph'))
def has(modelset, g, a):
postgraph = new_graph('postgraph')
return z3.Exists([postgraph], modelset(Model.model(g, a, postgraph)))
