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Substitue Vars in queries

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Replace Vars that are representing primary inputs as "i#" when query
solvers.
This commit is contained in:
Huanyi Chen 2018-12-28 12:40:44 -05:00
parent e40884725b
commit b083c7546e
1 changed files with 33 additions and 8 deletions
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37
examples/python/mini_ic3.py
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@ -17,6 +17,7 @@ class Horn2Transitions:
def __init__(self):
self.trans = True
self.init = True
self.inputs = []
self.goal = True
self.index = 0
@ -48,6 +49,9 @@ class Horn2Transitions:
if pred is None:
return False
self.goal = self.subst_vars("x", inv, pred)
self.goal = self.subst_vars("i", self.goal, self.goal)
self.inputs += self.vars
self.inputs = list(set(self.inputs))
return True
def is_body(self, body):
@ -77,6 +81,9 @@ class Horn2Transitions:
self.xs = self.vars
pred = self.subst_vars("xn", inv1, pred)
self.xns = self.vars
pred = self.subst_vars("i", pred, pred)
self.inputs += self.vars
self.inputs = list(set(self.inputs))
self.trans = pred
return True
@ -97,12 +104,24 @@ class Horn2Transitions:
def mk_subst(self, prefix, inv):
self.index = 0
if self.is_inv(inv) is not None:
return [(f, self.mk_bool(prefix)) for f in inv.children()]
else:
vars = self.get_vars(inv)
return [(f, self.mk_bool(prefix)) for f in vars]
def mk_bool(self, prefix):
self.index += 1
return Bool("%s%d" % (prefix, self.index))
def get_vars(self, f, rs=[]):
if is_var(f):
return z3util.vset(rs + [f], str)
else:
for f_ in f.children():
rs = self.get_vars(f_, rs)
return z3util.vset(rs, str)
# Produce a finite domain solver.
# The theory QF_FD covers bit-vector formulas
# and pseudo-Boolean constraints.
@ -169,8 +188,9 @@ def prune(R):
return R - removed
class MiniIC3:
def __init__(self, init, trans, goal, x0, xn):
def __init__(self, init, trans, goal, x0, inputs, xn):
self.x0 = x0
self.inputs = inputs
self.xn = xn
self.init = init
self.bad = goal
@ -229,6 +249,9 @@ class MiniIC3:
def project0(self, m):
return self.values2literals(m, self.x0)
def projectI(self, m):
return self.values2literals(m, self.inputs)
def projectN(self, m):
return self.values2literals(m, self.xn)
@ -242,12 +265,14 @@ class MiniIC3:
is_sat = self.s_bad.check()
if is_sat == sat:
m = self.s_bad.model()
props = self.project0(m)
cube = self.project0(m)
props = cube + self.projectI(m)
self.s_good.push()
self.s_good.add(R)
is_sat2 = self.s_good.check(props)
assert is_sat2 == unsat
core = self.s_good.unsat_core()
core = [c for c in core if c in set(cube)]
self.s_good.pop()
self.s_bad.pop()
return is_sat, core
@ -263,8 +288,8 @@ class MiniIC3:
# minimize cube that is core of Dual solver.
# this assumes that props & cube => Trans
def minimize_cube(self, cube, lits):
is_sat = self.min_cube_solver.check(lits + [c for c in cube])
def minimize_cube(self, cube, inputs, lits):
is_sat = self.min_cube_solver.check(lits + [c for c in cube] + [i for i in inputs])
assert is_sat == unsat
core = self.min_cube_solver.unsat_core()
assert core
@ -319,7 +344,7 @@ class MiniIC3:
m = s.model()
s.pop()
if is_sat == sat:
cube = self.next(self.minimize_cube(self.project0(m), self.projectN(m)))
cube = self.next(self.minimize_cube(self.project0(m), self.projectI(m), self.projectN(m)))
elif is_sat == unsat:
cube, f = self.generalize(cube, f)
return cube, f, is_sat
@ -348,7 +373,7 @@ class MiniIC3:
def test(file):
h2t = Horn2Transitions()
h2t.parse(file)
mp = MiniIC3(h2t.init, h2t.trans, h2t.goal, h2t.xs, h2t.xns)
mp = MiniIC3(h2t.init, h2t.trans, h2t.goal, h2t.xs, h2t.inputs, h2t.xns)
result = mp.run()
if isinstance(result, Goal):
g = result