def test_eu_simple(self):
fsm = self.simplemodel()
lt = eval_simple_expression(fsm, "at.local")
lf = eval_simple_expression(fsm, "af.local")
g = eval_simple_expression(fsm, "global")
true = eval_simple_expression(fsm, "TRUE")
false = eval_simple_expression(fsm, "FALSE")
# lt & lf & g |= E[ g U ~lf & ~lt & ~g ]
eus = eu(fsm, g, ~lf & ~lt & ~g)
state = fsm.pick_one_state(eus)
witness = explain_eu(fsm, state, g, ~lf & ~lt & ~g)
self.assertTrue(witness[0] == state)
self.assertTrue(witness[0] <= g | ~lf & ~lt & ~g)
for (s, i, sp) in zip(witness[:-2:2], witness[1:-2:2], witness[2:-2:2]):
self.assertTrue(s <= g)
self.assertTrue(sp <= g)
self.assertIsNotNone(i)
self.assertTrue(i <= fsm.get_inputs_between_states(s, sp))
self.assertIsNotNone(witness[-2])
self.assertTrue(witness[-2] <=
fsm.get_inputs_between_states(witness[-3], witness[-1]))
self.assertTrue(witness[-1] <= ~lf)
self.assertTrue(witness[-1] <= ~lt)
self.assertTrue(witness[-1] <= ~g)
self.assertTrue(witness[-1] == ~lf & ~lt & ~g)
def test_eg_simple(self):
fsm = self.simplemodel()
lt = eval_simple_expression(fsm, "at.local")
lf = eval_simple_expression(fsm, "af.local")
g = eval_simple_expression(fsm, "global")
true = eval_simple_expression(fsm, "TRUE")
false = eval_simple_expression(fsm, "FALSE")
# lt & lf & !g |= EG !g
egs = eg(fsm, ~g)
self.assertTrue(egs.isnot_false())
state = fsm.pick_one_state(egs)
(path, loop) = explain_eg(fsm, state, ~g)
self.assertTrue(path[0] == state)
self.assertTrue(path[0] <= ~g & egs)
for (s, i, sp) in zip(path[::2], path[1::2], path[2::2]):
self.assertTrue(s <= ~g)
self.assertTrue(sp <= ~g)
self.assertIsNotNone(i)
self.assertTrue(i <= fsm.get_inputs_between_states(s, sp))
self.assertIsNotNone(loop)
self.assertEqual(len(loop), 2)
self.assertIsNotNone(loop[0])
self.assertIsNotNone(loop[1])
self.assertTrue(loop[1] in path)
self.assertTrue(loop[0] <=
fsm.get_inputs_between_states(path[-1], loop[1]))
def test_d_simple(self):
fsm = self.simplemodel()
lt = eval_simple_expression(fsm, "at.local")
lf = eval_simple_expression(fsm, "af.local")
g = eval_simple_expression(fsm, "global")
true = eval_simple_expression(fsm, "TRUE")
false = eval_simple_expression(fsm, "FALSE")
specs = parseCTLK("'af.local' -> D<'at','af'> 'af.local'")
self.assertEqual(len(specs), 1)
spec = specs[0]
geg = evalCTLK(fsm, spec)
self.assertEqual(geg, true)
specs = parseCTLK("'af.local' & D<'at'> 'af.local'")
self.assertEqual(len(specs), 1)
spec = specs[0]
geg = evalCTLK(fsm, spec)
self.assertEqual(geg, false)
specs = parseCTLK("'af.local' -> D<'af'> 'af.local'")
self.assertEqual(len(specs), 1)
spec = specs[0]
geg = evalCTLK(fsm, spec)
self.assertEqual(geg, true)
def test_nfair_si_nfair_model(self):
fsm = self.nfair_model()
s0 = eval_simple_expression(fsm, "state = s0")
s1 = eval_simple_expression(fsm, "state = s1")
s2 = eval_simple_expression(fsm, "state = s2")
a0 = eval_simple_expression(fsm, "a.a = 0")
a1 = eval_simple_expression(fsm, "a.a = 1")
a2 = eval_simple_expression(fsm, "a.a = 2")
b0 = eval_simple_expression(fsm, "b.a = 0")
b1 = eval_simple_expression(fsm, "b.a = 1")
true = eval_simple_expression(fsm, "TRUE")
false = eval_simple_expression(fsm, "FALSE")
nfgsia = nfair_gamma_si(fsm, {"a"})
nfgsib = nfair_gamma_si(fsm, {"b"})
self.assertTrue(s0 & a1 & fsm.protocol({"a"}) <= nfgsia)
self.assertTrue(s1 & a0 & fsm.protocol({"a"}) <= nfgsia)
self.assertEqual((s0 & a1 & fsm.protocol({"a"})) | (s1 & a0 & fsm.protocol({"a"})), nfgsia)
self.assertEqual(s1 & b0 & fsm.protocol({"b"}), nfgsib)
def test_constraints_post(self):
glob.load_from_file("tests/tools/ctlk/constraints.smv")
fsm = glob.mas()
self.assertIsNotNone(fsm)
false = eval_simple_expression(fsm, "FALSE")
false = eval_simple_expression(fsm, "TRUE")
p = eval_simple_expression(fsm, "p")
q = eval_simple_expression(fsm, "q")
a = eval_simple_expression(fsm, "a")
self.assertEqual(1, fsm.count_states(fsm.init))
self.assertEqual(2, fsm.count_states(fsm.post(fsm.init)))
self.assertEqual(1, fsm.count_states(p & q))
self.assertEqual(1, fsm.count_states(p & ~q))
self.assertEqual(1, fsm.count_states(~p & q))
self.assertEqual(1, fsm.count_states(~p & ~q))
self.assertEqual(2, fsm.count_states(fsm.post(p & q)))
self.assertEqual(1, fsm.count_states(fsm.post(p & ~q)))
self.assertEqual(1, fsm.count_states(fsm.post(~p & q)))
self.assertEqual(1, fsm.count_states(fsm.post(p & q, a)))
self.assertEqual(0, fsm.count_states(fsm.post(p & ~q, ~a)))
self.assertEqual(0, fsm.count_states(fsm.post(~p & q, a)))
self.assertEqual(1, fsm.count_states(fsm.post(~p & q, ~a)))
def test_k(self):
fsm = self.simplemodel()
lt = eval_simple_expression(fsm, "at.local")
lf = eval_simple_expression(fsm, "af.local")
g = eval_simple_expression(fsm, "global")
true = eval_simple_expression(fsm, "TRUE")
false = eval_simple_expression(fsm, "FALSE")
specs = parseCTLK("K<'at'> 'at.local'")
self.assertEqual(len(specs), 1)
spec = specs[0]
katt = evalCTLK(fsm, spec)
self.assertEqual(katt, lt)
specs = parseCTLK("K<'at'> 'af.local'")
self.assertEqual(len(specs), 1)
spec = specs[0]
katf = evalCTLK(fsm, spec)
self.assertEqual(katf, false)
specs = parseCTLK("K<'at'> 'global'")
self.assertEqual(len(specs), 1)
spec = specs[0]
katf = evalCTLK(fsm, spec)
self.assertEqual(katf, g)
def test_minimize(self):
(fsm, enc, manager) = self.init_model()
noadmin = eval_simple_expression(fsm, "admin = none")
processing = eval_simple_expression(fsm, "state = processing")
self.assertIsNotNone(processing.minimize(noadmin))
self.assertTrue(processing.minimize(noadmin).isnot_false())
def test_equivalent_states(self):
fsm = self.model()
c1p = eval_simple_expression(fsm, "c1.payer")
odd = eval_simple_expression(fsm, "countsay = odd")
true = eval_simple_expression(fsm, "TRUE")
self.assertEqual(fsm.equivalent_states(c1p, {"c1"}), c1p)
self.assertEqual(fsm.equivalent_states(c1p, {"c2"}), true)
def test_pre(self):
fsm = self.model()
c1p = eval_simple_expression(fsm, "c1.payer")
unknown = eval_simple_expression(fsm, "countsay = unknown")
odd = eval_simple_expression(fsm, "countsay = odd")
even = eval_simple_expression(fsm, "countsay = even")
true = eval_simple_expression(fsm, "TRUE")
self.assertTrue(odd & fsm.bddEnc.statesMask <= fsm.pre(odd))
self.assertTrue(fsm.init <= unknown)
self.assertTrue(fsm.pre(unknown).is_false())
def test_iff(self):
fsm = self.model()
c1p = eval_simple_expression(fsm, "c1.payer")
odd = eval_simple_expression(fsm, "countsay = odd")
specs = parseCTLK("'c1.payer' <-> 'countsay = odd'")
self.assertEqual(len(specs), 1)
spec = specs[0]
c1pico = evalCTLK(fsm, spec)
self.assertEqual(c1p.iff(odd), c1pico)
def test_k_ef(self):
fsm = self.simplemodel()
lt = eval_simple_expression(fsm, "at.local")
lf = eval_simple_expression(fsm, "af.local")
g = eval_simple_expression(fsm, "global")
true = eval_simple_expression(fsm, "TRUE")
specs = parseCTLK("K<'at'> EF 'af.local'")
self.assertEqual(len(specs), 1)
spec = specs[0]
kef = evalCTLK(fsm, spec)
self.assertEqual(kef, true)
def test_ex(self):
fsm = self.model()
c1p = eval_simple_expression(fsm, "c1.payer")
c2p = eval_simple_expression(fsm, "c2.payer")
c3p = eval_simple_expression(fsm, "c3.payer")
c1h = eval_simple_expression(fsm, "c1.coin = head")
c2h = eval_simple_expression(fsm, "c2.coin = head")
c3h = eval_simple_expression(fsm, "c3.coin = head")
odd = eval_simple_expression(fsm, "countsay = odd")
unk = eval_simple_expression(fsm, "countsay = unknown")
specs = parseCTLK("EX ('c1.payer' & ~'c2.payer' & ~'c3.payer')")
self.assertEqual(len(specs), 1)
spec = specs[0]
ex = evalCTLK(fsm, spec)
self.assertEqual(ex, c1p & ~c2p & ~c3p & fsm.bddEnc.statesMask)
specs = parseCTLK("EX 'countsay = odd'")
self.assertEqual(len(specs), 1)
spec = specs[0]
ex = evalCTLK(fsm, spec)
self.assertTrue(odd & fsm.bddEnc.statesMask <= ex)
self.assertTrue((unk & c1p & ~c2p & ~c3p) & fsm.bddEnc.statesMask
<= ex)
self.assertTrue((unk & c1p & c2p & c3p) & fsm.bddEnc.statesMask
<= ex)
def test_simple_pre(self):
glob.load_from_file("tests/tools/ctlk/agents.smv")
fsm = glob.mas()
self.assertIsNotNone(fsm)
lt = eval_simple_expression(fsm, "at.local")
lf = eval_simple_expression(fsm, "af.local")
g = eval_simple_expression(fsm, "global")
true = eval_simple_expression(fsm, "TRUE")
false = eval_simple_expression(fsm, "FALSE")
self.assertEqual(fsm.pre(lt & ~lf & ~g),
(lt & lf & ~g) | (~lt & ~lf & g))
self.assertEqual(fsm.pre(g), true)
self.assertEqual(fsm.pre(lf), lf.iff(g))
def test_simple(self):
mas = self.simple()
s4 = eval_simple_expression(mas, "s = 4")
ac = mas.bddEnc.cube_for_inputs_vars("a")
bc = mas.bddEnc.cube_for_inputs_vars("b")
self.assertTrue((~(mas.weak_pre(~s4).forsome(bc)) &
mas.weak_pre(s4)).forsome(mas.bddEnc.inputsCube))
def test_reachable_states_for_simple_model(self):
glob.load_from_file("tests/tools/ctlk/agents.smv")
fsm = glob.mas()
self.assertIsNotNone(fsm)
true = eval_simple_expression(fsm, "TRUE")
self.assertEqual(fsm.reachable_states, true)
def test_hashes(self):
(fsm, enc, manager) = self.init_model()
true = BDD.true(manager)
false = BDD.false(manager)
init = fsm.init
noadmin = eval_simple_expression(fsm, "admin = none")
alice = eval_simple_expression(fsm, "admin = alice")
processing = eval_simple_expression(fsm, "state = processing")
self.assertEqual(hash(true), hash(~false))
self.assertNotEqual(hash(true), hash(false))
self.assertEqual(hash(init & noadmin), hash(init))
bdddict = {true, false, init, noadmin, alice, processing}
self.assertEqual(len(bdddict), 6)
def test_uncomparable_sets(self):
(fsm, enc, manager) = self.init_model()
alice = eval_simple_expression(fsm, "admin = alice")
processing = eval_simple_expression(fsm, "state = processing")
self.assertFalse(alice <= processing)
self.assertFalse(processing <= alice)
self.assertFalse(alice < processing)
self.assertFalse(processing < alice)
self.assertFalse(alice == processing)
self.assertTrue(alice != processing)
self.assertFalse(alice >= processing)
self.assertFalse(processing >= alice)
self.assertFalse(alice > processing)
self.assertFalse(processing > alice)
def test_cardgame_cax(self):
fsm = self.cardgame()
spec = parseATL("['player']X 'pcard = Ac'")[0]
agents = {atom.value for atom in spec.group}
phi = evalATL(fsm, spec.child)
self.assertTrue(check(fsm, spec))
sat = evalATL(fsm, spec)
initsat = sat & fsm.init
first = fsm.pick_one_state(initsat)
explanation = explain_cax(fsm, first, agents, evalATL(fsm, spec.child))
#self.show_cex(explanation, spec)
self.check_cax(fsm, explanation, agents, phi)
spec = parseATL("['dealer']X 'win'")[0]
agents = {atom.value for atom in spec.group}
phi = evalATL(fsm, spec.child)
# False since we do not want initial states
#self.assertTrue(check(fsm, spec))
sat = evalATL(fsm, spec)
initsat = (sat & eval_simple_expression(fsm, 'step = 1') &
fsm.reachable_states)
first = fsm.pick_one_state(initsat)
explanation = explain_cax(fsm, first, agents, evalATL(fsm, spec.child))
#self.show_cex(explanation, spec)
self.check_cax(fsm, explanation, agents, phi)
def test_size(self):
(fsm, enc, manager) = self.init_model()
true = BDD.true(manager)
false = BDD.false(manager)
init = fsm.init
noadmin = eval_simple_expression(fsm, "admin = none")
alice = eval_simple_expression(fsm, "admin = alice")
processing = eval_simple_expression(fsm, "state = processing")
self.assertEqual(BDD.true().size, 1)
self.assertEqual(BDD.false().size, 1)
self.assertEqual(fsm.pick_one_state(BDD.true()).size,
len(fsm.bddEnc.get_variables_ordering("bits")) + 1)
self.assertEqual(init.size, 5)
self.assertEqual(processing.size, 3)
def test_d_distributedmodel(self):
glob.load_from_file("tests/tools/ctlk/distributed_knowledge.smv")
fsm = glob.mas()
self.assertIsNotNone(fsm)
l1 = eval_simple_expression(fsm, "a1.local")
l2 = eval_simple_expression(fsm, "a2.local")
l3 = eval_simple_expression(fsm, "a3.local")
true = eval_simple_expression(fsm, "TRUE")
false = eval_simple_expression(fsm, "FALSE")
specs = parseCTLK("'a1.local' -> D<'a1','a2'> 'a1.local'")
self.assertEqual(len(specs), 1)
spec = specs[0]
a1da1 = evalCTLK(fsm, spec)
self.assertEqual(true, a1da1)
def test_reachable(self):
fsm = self.simplemodel()
lt = eval_simple_expression(fsm, "at.local")
lf = eval_simple_expression(fsm, "af.local")
g = eval_simple_expression(fsm, "global")
true = eval_simple_expression(fsm, "TRUE")
false = eval_simple_expression(fsm, "FALSE")
spec = parseCTLK("Reachable")[0]
self.assertIsNotNone(spec)
state = fsm.pick_one_state(~lt & ~lf & ~g)
self.assertIsNotNone(state)
self.assertTrue(state <= evalCTLK(fsm, spec))
expl = explain_witness(fsm, state, spec)
self.assertIsNotNone(expl)
self.assertEqual(type(expl), Tlacenode)
self.assertEqual(expl.state, state)
self.assertEqual(len(expl.atomics), 0)
self.assertEqual(len(expl.branches), 1)
self.assertEqual(len(expl.universals), 0)
branch = expl.branches[0]
self.assertEqual(type(branch), TemporalBranch)
self.assertEqual(type(branch.specification), Reachable)
path = branch.path
self.assertIsNone(branch.loop)
for (s, i, sp) in zip(path[::2], path[1::2], path[2::2]):
self.assertIsNotNone(s)
self.assertTrue(s.state <= fsm.reachable_states)
self.assertEqual(len(s.atomics), 0)
self.assertEqual(len(s.branches), 0)
self.assertEqual(len(s.universals), 0)
self.assertIsNotNone(sp)
self.assertTrue(sp.state <= fsm.reachable_states)
self.assertEqual(len(sp.branches), 0)
self.assertEqual(len(sp.universals), 0)
self.assertTrue(i <=
fsm.get_inputs_between_states(sp.state, s.state))
self.assertEqual(len(path[-1].atomics), 1)
self.assertEqual(type(path[-1].atomics[0]), Init)
print(xml_witness(fsm, expl, spec))
def test_false(self):
fsm = self.model()
false = eval_simple_expression(fsm, "FALSE")
specs = parseCTLK("False")
self.assertEqual(len(specs), 1)
spec = specs[0]
self.assertEqual(false, evalCTLK(fsm, spec))
def test_nk_simple(self):
fsm = self.simplemodel()
lt = eval_simple_expression(fsm, "at.local")
lf = eval_simple_expression(fsm, "af.local")
g = eval_simple_expression(fsm, "global")
true = eval_simple_expression(fsm, "TRUE")
false = eval_simple_expression(fsm, "FALSE")
# nK<at> af.local
nks = nk(fsm, "at", lf)
self.assertTrue(nks.isnot_false())
state = fsm.pick_one_state(nks)
(s, ag, sp) = explain_nk(fsm, state, "at", lf)
self.assertEqual(s, state)
self.assertEqual(ag, {"at"})
self.assertTrue(sp <= lf)
self.assertTrue(sp <= fsm.equivalent_states(state, {"at"}))
self.assertTrue(sp <= fsm.reachable_states)
def test_true(self):
fsm = self.model()
true = eval_simple_expression(fsm, "TRUE")
specs = parseCTLK("True")
self.assertEqual(len(specs), 1)
spec = specs[0]
self.assertEqual(true, evalCTLK(fsm, spec))
def test_k_dincry(self):
fsm = self.model()
c1p = eval_simple_expression(fsm, "c1.payer")
c2p = eval_simple_expression(fsm, "c2.payer")
c3p = eval_simple_expression(fsm, "c3.payer")
c1h = eval_simple_expression(fsm, "c1.coin = head")
c2h = eval_simple_expression(fsm, "c2.coin = head")
c3h = eval_simple_expression(fsm, "c3.coin = head")
odd = eval_simple_expression(fsm, "countsay = odd")
unk = eval_simple_expression(fsm, "countsay = unknown")
true = eval_simple_expression(fsm, "TRUE")
false = eval_simple_expression(fsm, "FALSE")
specs = parseCTLK("AG ('c1.payer' "
"-> K<'c1'> (~'c2.payer' & ~'c3.payer'))")
self.assertEqual(len(specs), 1)
spec = specs[0]
ik = evalCTLK(fsm, spec)
self.assertTrue(fsm.init <= ik)
def test_create_trans(self):
fsm = self.model()
p = eval_simple_expression(fsm, "p")
new_trans = BddTrans.from_string(fsm.bddEnc.symbTable,
"next(p) = !p")
self.assertEqual(new_trans.post(p), ~p)
with self.assertRaises(NuSMVFlatteningError):
new_trans = BddTrans.from_string(fsm.bddEnc.symbTable,
"next(p) = !p",
strcontext="main")
def test_nd_simple(self):
fsm = self.simplemodel()
lt = eval_simple_expression(fsm, "at.local")
lf = eval_simple_expression(fsm, "af.local")
g = eval_simple_expression(fsm, "global")
true = eval_simple_expression(fsm, "TRUE")
false = eval_simple_expression(fsm, "FALSE")
# nD<at, af> at.local
nds = nd(fsm, ["at", "af"], lt)
self.assertTrue(nds.isnot_false())
state = fsm.pick_one_state(nds)
(s, ag, sp) = explain_nd(fsm, state, ["at", "af"], lt)
self.assertEqual(s, state)
self.assertEqual(ag, {"at", "af"})
self.assertTrue(sp <= lt)
self.assertTrue((sp <= fsm.equivalent_states(state, {"at"}))
& (sp <= fsm.equivalent_states(state, {"af"})))
self.assertTrue(sp <= fsm.reachable_states)
def test_not(self):
fsm = self.model()
c1p = eval_simple_expression(fsm, "c1.payer")
specs = parseCTLK("~'c1.payer'")
self.assertEqual(len(specs), 1)
spec = specs[0]
c1pCTLK = evalCTLK(fsm, spec)
self.assertEqual(~c1p, c1pCTLK)
def test_k_dincry(self):
fsm = self.model()
c1p = eval_simple_expression(fsm, "c1.payer")
c2p = eval_simple_expression(fsm, "c2.payer")
c3p = eval_simple_expression(fsm, "c3.payer")
c1h = eval_simple_expression(fsm, "c1.coin = head")
c2h = eval_simple_expression(fsm, "c2.coin = head")
c3h = eval_simple_expression(fsm, "c3.coin = head")
odd = eval_simple_expression(fsm, "countsay = odd")
unk = eval_simple_expression(fsm, "countsay = unknown")
true = eval_simple_expression(fsm, "TRUE")
false = eval_simple_expression(fsm, "FALSE")
specs = parseCTLK("AG ('c1.payer' "
"-> K<'c1'> (~'c2.payer' & ~'c3.payer'))")
self.assertEqual(len(specs), 1)
spec = specs[0]
ik = evalCTLK(fsm, spec)
self.assertTrue(fsm.init <= ik)
def test_ne_simple(self):
fsm = self.simplemodel()
lt = eval_simple_expression(fsm, "at.local")
lf = eval_simple_expression(fsm, "af.local")
g = eval_simple_expression(fsm, "global")
true = eval_simple_expression(fsm, "TRUE")
false = eval_simple_expression(fsm, "FALSE")
# nE<at, af> g
nes = ne(fsm, ["at", "af"], g)
self.assertTrue(nes.isnot_false())
state = fsm.pick_one_state(nes)
(s, ag, sp) = explain_ne(fsm, state, ["at", "af"], g)
self.assertEqual(s, state)
self.assertTrue(ag in [{"at"}, {"af"}])
self.assertTrue(sp <= g)
self.assertTrue((sp <= fsm.equivalent_states(state, {"at"})) |
(sp <= fsm.equivalent_states(state, {"af"})))
self.assertTrue(sp <= fsm.reachable_states)
def test_nd_simple(self):
fsm = self.simplemodel()
lt = eval_simple_expression(fsm, "at.local")
lf = eval_simple_expression(fsm, "af.local")
g = eval_simple_expression(fsm, "global")
true = eval_simple_expression(fsm, "TRUE")
false = eval_simple_expression(fsm, "FALSE")
# nD<at, af> at.local
nds = nd(fsm, ["at", "af"], lt)
self.assertTrue(nds.isnot_false())
state = fsm.pick_one_state(nds)
(s, ag, sp) = explain_nd(fsm, state, ["at", "af"], lt)
self.assertEqual(s, state)
self.assertEqual(ag, {"at", "af"})
self.assertTrue(sp <= lt)
self.assertTrue((sp <= fsm.equivalent_states(state, {"at"})) &
(sp <= fsm.equivalent_states(state, {"af"})))
self.assertTrue(sp <= fsm.reachable_states)
def test_reachable_states(self):
fsm = self.model()
c1p = eval_simple_expression(fsm, "c1.payer")
c2p = eval_simple_expression(fsm, "c2.payer")
odd = eval_simple_expression(fsm, "countsay = odd")
true = eval_simple_expression(fsm, "TRUE")
self.assertTrue(fsm.reachable_states.isnot_true())
self.assertTrue(fsm.reachable_states.isnot_false())
self.assertTrue((fsm.init & c1p & c2p).is_false())
self.assertTrue((fsm.post(fsm.init) & c1p & c2p).is_false())
tmp = fsm.reachable_states & (c1p & c2p)
while tmp.isnot_false():
s = fsm.pick_one_state(tmp)
print(s.get_str_values())
tmp -= s
self.assertTrue((fsm.reachable_states & (c1p & c2p)).is_false())
def test_e_simple(self):
fsm = self.simplemodel()
lt = eval_simple_expression(fsm, "at.local")
lf = eval_simple_expression(fsm, "af.local")
g = eval_simple_expression(fsm, "global")
true = eval_simple_expression(fsm, "TRUE")
false = eval_simple_expression(fsm, "FALSE")
specs = parseCTLK("'global' -> E<'at','af'> 'global'")
self.assertEqual(len(specs), 1)
spec = specs[0]
geg = evalCTLK(fsm, spec)
self.assertEqual(geg, true)
specs = parseCTLK("'af.local' & E<'at','af'> 'af.local'")
self.assertEqual(len(specs), 1)
spec = specs[0]
afeaf = evalCTLK(fsm, spec)
self.assertEqual(afeaf, false)
def test_ne_simple(self):
fsm = self.simplemodel()
lt = eval_simple_expression(fsm, "at.local")
lf = eval_simple_expression(fsm, "af.local")
g = eval_simple_expression(fsm, "global")
true = eval_simple_expression(fsm, "TRUE")
false = eval_simple_expression(fsm, "FALSE")
# nE<at, af> g
nes = ne(fsm, ["at", "af"], g)
self.assertTrue(nes.isnot_false())
state = fsm.pick_one_state(nes)
(s, ag, sp) = explain_ne(fsm, state, ["at", "af"], g)
self.assertEqual(s, state)
self.assertTrue(ag in [{"at"}, {"af"}])
self.assertTrue(sp <= g)
self.assertTrue((sp <= fsm.equivalent_states(state, {"at"}))
| (sp <= fsm.equivalent_states(state, {"af"})))
self.assertTrue(sp <= fsm.reachable_states)
def test_one_state(self):
fsm = self.model()
c2p = eval_simple_expression(fsm, "c2.payer")
state = choose_one_state(fsm, fsm.init)
print()
if state is None:
print("No chosen state.")
else:
values = state.get_str_values()
for var in values:
print(var, "=", values[var])
def test_one_state(self):
fsm = self.model()
c2p = eval_simple_expression(fsm, "c2.payer")
state = choose_one_state(fsm, fsm.init)
print()
if state is None:
print("No chosen state.")
else:
values = state.get_str_values()
for var in values:
print(var, "=", values[var])
def test_one_transition(self):
smvmodel = """
MODULE main
VAR state: {s1, s2};
INIT state = s1
TRANS next(state) = s2
"""
model.load_from_string(smvmodel)
fsm = model.bddModel()
self.assertSetEqual(set(fsm.transitions.keys()), {'time'})
self.assertEqual(fsm.post(fsm.init, transition='time'),
eval_simple_expression(fsm, 'state = s2'))
def test_additional_transitions(self):
smvmodel = """
MODULE main
VAR state: {s1, s2};
IVAR transition : {time, knowledge};
INIT state = s1
TRANS case transition = time : next(state) = s2;
transition = knowledge : next(state) = state;
esac
"""
model.load_from_string(smvmodel)
transitions = {'reset': 'next(state) = s1'}
fsm = model.bddModel(transitions=transitions)
self.assertSetEqual(set(fsm.transitions.keys()),
{'time', 'knowledge', 'reset'})
self.assertEqual(fsm.post(fsm.init, 'time'),
eval_simple_expression(fsm, 'state = s2'))
self.assertEqual(fsm.post(fsm.init, 'knowledge'),
eval_simple_expression(fsm, 'state = s1'))
self.assertEqual(fsm.post(fsm.reachable_states, 'reset'),
eval_simple_expression(fsm, 'state = s1'))
def test_split(self):
fsm = self.little()
aa = eval_simple_expression(fsm, "a.a = 1")
ap = eval_simple_expression(fsm, "a.p = 1")
ba = eval_simple_expression(fsm, "b.a = 1")
bq = eval_simple_expression(fsm, "b.q = 1")
true = eval_simple_expression(fsm, "TRUE")
false = eval_simple_expression(fsm, "FALSE")
gamma_inputs = [
var for agent in {"a"} for var in fsm.agents_inputvars[agent]
]
gamma_cube = fsm.bddEnc.cube_for_inputs_vars(gamma_inputs)
ngamma_cube = fsm.bddEnc.inputsCube - gamma_cube
strats = split(fsm, fsm.protocol({"a"}), {"a"})
commstrat = (((~ap & bq & ~aa) |
(~ap & ~bq & ~aa)).forsome(ngamma_cube)
& fsm.protocol({"a"}))
firststrat = (((ap & bq & aa) | (ap & ~bq & aa)).forsome(ngamma_cube)
& fsm.protocol({"a"}))
secstrat = (((ap & bq & ~aa) | (ap & ~bq & ~aa)).forsome(ngamma_cube)
& fsm.protocol({"a"}))
self.assertTrue((commstrat | firststrat) in strats)
self.assertTrue((commstrat | secstrat) in strats)
self.assertSetEqual({commstrat | firststrat, commstrat | secstrat},
strats)
def test_reachable_simple(self):
fsm = self.simplemodel()
lt = eval_simple_expression(fsm, "at.local")
lf = eval_simple_expression(fsm, "af.local")
g = eval_simple_expression(fsm, "global")
true = eval_simple_expression(fsm, "TRUE")
false = eval_simple_expression(fsm, "FALSE")
state = fsm.pick_one_state(~lf & ~lt & ~g)
self.assertTrue(state <= fsm.reachable_states)
witness = explain_reachable(fsm, state)
self.assertIsNotNone(witness)
self.assertEqual(witness[0], state)
for (s, i, sp) in zip(witness[::2], witness[1::2], witness[2::2]):
self.assertTrue(s <= fsm.reachable_states)
self.assertTrue(sp <= fsm.reachable_states)
self.assertIsNotNone(i)
self.assertTrue(i <= fsm.get_inputs_between_states(sp, s))
self.assertTrue(witness[-1] <= fsm.init)
def test_inputs(self):
smvmodel = """
MODULE main
VAR state: {s1, s2};
IVAR run: boolean;
INIT state = s1
TRANS next(state) = (run ? s2 : state)
"""
model.load_from_string(smvmodel)
fsm = model.bddModel()
self.assertSetEqual(set(fsm.transitions.keys()), {'time'})
self.assertEqual(
fsm.post(fsm.init, transition='time'),
eval_simple_expression(fsm, 'state = s2 | state = s1'))
run = eval_simple_expression(fsm, "run")
self.assertEqual(fsm.post(fsm.init, inputs=run),
eval_simple_expression(fsm, 'state = s2'))
nrun = eval_simple_expression(fsm, "!run")
self.assertEqual(fsm.post(fsm.init, inputs=nrun),
eval_simple_expression(fsm, 'state = s1'))
def test_ex_simple(self):
fsm = self.simplemodel()
lt = eval_simple_expression(fsm, "at.local")
lf = eval_simple_expression(fsm, "af.local")
g = eval_simple_expression(fsm, "global")
true = eval_simple_expression(fsm, "TRUE")
false = eval_simple_expression(fsm, "FALSE")
# lt & lf & g |= EX !lt
# because (lt & lf & g, !lt & lf (g | !g))
state = fsm.pick_one_state(lt & lf & g)
witness = explain_ex(fsm, state, ~lt)
self.assertTrue(witness[0] == state)
self.assertTrue(witness[2] <= ~lt)
self.assertTrue(witness[2] <= ~lt & lf)
self.assertTrue((witness[2] == ~lt & lf & g)
| (witness[2] == ~lt & lf & ~g))
self.assertTrue(
fsm.get_inputs_between_states(state, witness[2]).isnot_false())
self.assertTrue(
witness[1] <= fsm.get_inputs_between_states(state, witness[2]))
def test_pick_inputs(self):
fsm = self.model()
p = eval_simple_expression(fsm, "p")
a = eval_simple_expression(fsm, "a")
b0 = eval_simple_expression(fsm, "b = 0")
b1 = eval_simple_expression(fsm, "b = 1")
b2 = eval_simple_expression(fsm, "b = 2")
true = eval_simple_expression(fsm, "TRUE")
false = eval_simple_expression(fsm, "FALSE")
self.assertEqual(len(fsm.pick_all_inputs(a & b1)), 1)
def test_simple_ex(self):
fsm = self.simplemodel()
lt = eval_simple_expression(fsm, "at.local")
lf = eval_simple_expression(fsm, "af.local")
g = eval_simple_expression(fsm, "global")
specs = parseCTLK("EX 'af.local'")
self.assertEqual(len(specs), 1)
spec = specs[0]
ex = evalCTLK(fsm, spec)
# ex :
# l1, !l2, !g
# !l1, l2, g
# l1, l2, g
# !l1, !l2, !g
self.assertEqual(ex, lf.iff(g))
specs = parseCTLK("EX ('af.local' & 'at.local' & 'global')")
self.assertEqual(len(specs), 1)
spec = specs[0]
ex = evalCTLK(fsm, spec)
self.assertEqual(ex, lt & ~lf & ~g | ~lt & lf & g)
def test_nc_simple(self):
fsm = self.simplemodel()
lt = eval_simple_expression(fsm, "at.local")
lf = eval_simple_expression(fsm, "af.local")
g = eval_simple_expression(fsm, "global")
true = eval_simple_expression(fsm, "TRUE")
false = eval_simple_expression(fsm, "FALSE")
# ~lt & ~lf & g |= nc<at, af> ~lt & ~lf & ~g
ncs = nc(fsm, ["at"], ~lt & ~lf & g)
self.assertTrue(ncs.isnot_false())
state = fsm.pick_one_state(~lt & lf & g)
self.assertTrue(state <= ncs)
witness = explain_nc(fsm, state, ["at"], ~lt & ~lf & g)
self.assertTrue(witness[0] == state)
for (s, ag, sp) in zip(witness[::2], witness[1::2], witness[2::2]):
self.assertTrue(s.isnot_false())
self.assertTrue(ag in [{"at"}])
self.assertTrue(sp.isnot_false())
self.assertTrue(sp <= fsm.equivalent_states(s, {"at"}))
self.assertTrue(witness[-1] <= ~lt & ~lf & g)
def test_eg(self):
glob.load("tests/pynusmv/models/admin.smv")
glob.compute_model()
fsm = glob.prop_database().master.bddFsm
alice = mc.eval_simple_expression(fsm, "admin = alice")
spec = prop.Spec(parser.parse_ctl_spec("EG admin = alice"))
egalice = mc.eval_ctl_spec(fsm, spec)
self.assertEqual(mc.eg(fsm, alice), egalice)
self.assertEqual(
egalice,
fixpoint(lambda Z: alice & fsm.pre(Z), BDD.true())
& fsm.reachable_states)
def test_premod_pre_strat_si(self):
fsm = self.premod()
p = eval_simple_expression(fsm, "a.p = 1")
q = eval_simple_expression(fsm, "b.q = 1")
pa = eval_simple_expression(fsm, "a.a = 1")
qa = eval_simple_expression(fsm, "b.a = 1")
aa = {'a'}
bb = {'b'}
ag = {'a', 'b'}
self.assertEqual((~p & q) | (p & ~q & ~pa),
fsm.pre_strat_si(~p & q, aa))
self.assertTrue(fsm.pre_strat_si(p, ag).is_false())
self.assertEqual(fsm.pre_strat_si(~p & q, bb),
(~p & q) | (p & q & ~qa))
strat = (pa)
self.assertEqual((~p & q & pa), fsm.pre_strat_si(~p & q, aa, strat))
self.assertEqual(fsm.pre_strat_si(~p & q, bb, strat),
((~p & q) | (p & q & ~qa)) & strat)
self.assertEqual(fsm.pre_strat_si(~p & q, bb, qa), (~p & q & qa))
def test_nfair_gamma(self):
fsm = self.transmission_post_fair()
transmit = eval_simple_expression(fsm, "transmitter.action = transmit")
false = BDD.false(fsm.bddEnc.DDmanager)
self.assertTrue(fsm.reachable_states <= nfair_gamma(fsm, {'transmitter'}))
self.assertEqual(false, nfair_gamma(fsm, {'sender'}))
strats = split(fsm, fsm.protocol({'transmitter'}), {'transmitter'})
for strat in strats:
if (strat & transmit).isnot_false():
self.assertTrue(nfair_gamma(fsm, {'transmitter'}, strat).is_false())
else:
self.assertTrue(fsm.reachable_states <= nfair_gamma(fsm, {'transmitter'}, strat))
def test_pick_states_inputs(self):
fsm = self.model()
p = eval_simple_expression(fsm, "p")
a = eval_simple_expression(fsm, "a")
b0 = eval_simple_expression(fsm, "b = 0")
b1 = eval_simple_expression(fsm, "b = 1")
b2 = eval_simple_expression(fsm, "b = 2")
true = eval_simple_expression(fsm, "TRUE")
false = eval_simple_expression(fsm, "FALSE")
for si in fsm.pick_all_states_inputs(p & a & b1):
print(si.get_str_values())
self.assertEqual(len(fsm.pick_all_states_inputs(p & a & b1)), 1)
def test_next_state_with_inputs(self):
fsm = self.model()
c2p = eval_simple_expression(fsm, "c2.payer")
(inputs, state) = choose_next_state(fsm, fsm.pick_one_state(fsm.init))
print()
if state is None:
print("No chosen state.")
else:
if inputs is not None:
values = inputs.get_str_values()
for var in values:
print(var, "=", values[var])
print("-" * 40)
values = state.get_str_values()
for var in values:
print(var, "=", values[var])
def do_constraint(self, arg):
if "constraint" not in self.parsers:
self.parse_constraint()
# Handle arguments parsing errors
try:
if arg.strip() == "":
arg = []
else:
arg = [arg.strip()]
args = self.parsers["constraint"].parse_args(arg)
except ArgumentParsingError as err:
print(err, end="")
return False
if args.constraints is None:
if len(self.constraints) <= 0:
print("Currently no constraint.")
else:
print("Current constraints:")
for const in self.constraints:
print(const)
return False
else:
try:
# Parse constraints
constBDD = eval_simple_expression(self.fsm, args.constraints)
# Restrict the BDD
newBdd = self.bdds[-1] & constBDD
# If the BDD is not empty, add it to the list and show it
if self.fsm.count_states(newBdd) > 0:
self.bdds.append(newBdd)
self.constraints.append(args.constraints)
self._show_last()
else:
# else backtrack (in fact, do nothing)
print("constraint: the constraints are too strong,",
"no more states; retry.")
except PyNuSMVError as err:
print(err)
return False
return False
def test_next_state_without_inputs(self):
glob.load_from_file("tests/pynusmv/models/modules.smv")
fsm = glob.mas()
self.assertIsNotNone(fsm)
c2p = eval_simple_expression(fsm, "top")
(inputs, state) = choose_next_state(fsm, fsm.pick_one_state(fsm.init))
print()
if state is None:
print("No chosen state.")
else:
if inputs is not None:
values = inputs.get_str_values()
for var in values:
print(var, "=", values[var])
print("-" * 40)
values = state.get_str_values()
for var in values:
print(var, "=", values[var])
def test_splitreach_collapsed_tree(self):
fsm = self.collapsed_tree()
agents = {"a"}
sa0 = eval_simple_expression(fsm, "a.state = 0")
sa1 = eval_simple_expression(fsm, "a.state = 1")
s0 = eval_simple_expression(fsm, "s = 0")
s1 = eval_simple_expression(fsm, "s = 1")
s2 = eval_simple_expression(fsm, "s = 2")
aa = eval_simple_expression(fsm, "a.action = a")
ab = eval_simple_expression(fsm, "a.action = b")
splitted_init = psplit(fsm, fsm.init & fsm.protocol(agents), agents)
strats = {strat for pustrat in splitted_init
for strat in split_reach(fsm, agents, pustrat)}
self.assertEqual(len(strats), 2)
def test_c_dincry(self):
fsm = self.model()
c1p = eval_simple_expression(fsm, "c1.payer")
c2p = eval_simple_expression(fsm, "c2.payer")
c3p = eval_simple_expression(fsm, "c3.payer")
c1h = eval_simple_expression(fsm, "c1.coin = head")
c2h = eval_simple_expression(fsm, "c2.coin = head")
c3h = eval_simple_expression(fsm, "c3.coin = head")
odd = eval_simple_expression(fsm, "countsay = odd")
even = eval_simple_expression(fsm, "countsay = even")
unk = eval_simple_expression(fsm, "countsay = unknown")
true = eval_simple_expression(fsm, "TRUE")
false = eval_simple_expression(fsm, "FALSE")
specs = parseCTLK("'countsay = odd' -> "
"C<'c1','c2','c3'> "
"('c1.payer' | 'c2.payer' | 'c3.payer')")
self.assertEqual(len(specs), 1)
spec = specs[0]
oc123 = evalCTLK(fsm, spec)
self.assertTrue(fsm.reachable_states <= oc123)
specs = parseCTLK("'countsay = even' -> "
"C<'c1','c2','c3'> "
"(~'c1.payer' & ~'c2.payer' & ~'c3.payer')")
self.assertEqual(len(specs), 1)
spec = specs[0]
ec123 = evalCTLK(fsm, spec)
self.assertTrue(fsm.reachable_states <= ec123)
def test_d_dincry(self):
fsm = self.model()
c1p = eval_simple_expression(fsm, "c1.payer")
c2p = eval_simple_expression(fsm, "c2.payer")
c3p = eval_simple_expression(fsm, "c3.payer")
c1h = eval_simple_expression(fsm, "c1.coin = head")
c2h = eval_simple_expression(fsm, "c2.coin = head")
c3h = eval_simple_expression(fsm, "c3.coin = head")
odd = eval_simple_expression(fsm, "countsay = odd")
even = eval_simple_expression(fsm, "countsay = even")
unk = eval_simple_expression(fsm, "countsay = unknown")
true = eval_simple_expression(fsm, "TRUE")
false = eval_simple_expression(fsm, "FALSE")
specs = parseCTLK("('c1.payer' & 'countsay != unknown') "
"-> D<'c2','c3'> 'c1.payer'")
self.assertEqual(len(specs), 1)
spec = specs[0]
cud1 = evalCTLK(fsm, spec)
self.assertTrue(fsm.reachable_states <= cud1)
def test_dincry_equiv(self):
fsm = self.model()
c1p = eval_simple_expression(fsm, "c1.payer")
c2p = eval_simple_expression(fsm, "c2.payer")
c3p = eval_simple_expression(fsm, "c3.payer")
c1h = eval_simple_expression(fsm, "c1.coin = head")
c2h = eval_simple_expression(fsm, "c2.coin = head")
c3h = eval_simple_expression(fsm, "c3.coin = head")
odd = eval_simple_expression(fsm, "countsay = odd")
even = eval_simple_expression(fsm, "countsay = even")
unk = eval_simple_expression(fsm, "countsay = unknown")
true = eval_simple_expression(fsm, "TRUE")
false = eval_simple_expression(fsm, "FALSE")
s = c1p & ~c2p & ~c3p
eqs2 = fsm.equivalent_states(s, {"c2"})
eqs3 = fsm.equivalent_states(s, {"c3"})
self.assertEqual(eqs2 & eqs3, ~c2p & ~c3p)
def test_e_dincry(self):
fsm = self.model()
c1p = eval_simple_expression(fsm, "c1.payer")
c2p = eval_simple_expression(fsm, "c2.payer")
c3p = eval_simple_expression(fsm, "c3.payer")
c1h = eval_simple_expression(fsm, "c1.coin = head")
c2h = eval_simple_expression(fsm, "c2.coin = head")
c3h = eval_simple_expression(fsm, "c3.coin = head")
odd = eval_simple_expression(fsm, "countsay = odd")
even = eval_simple_expression(fsm, "countsay = even")
unk = eval_simple_expression(fsm, "countsay = unknown")
true = eval_simple_expression(fsm, "TRUE")
false = eval_simple_expression(fsm, "FALSE")
specs = parseCTLK("'countsay = even' -> E<'c1','c2'> ~'c1.payer'")
self.assertEqual(len(specs), 1)
spec = specs[0]
een1 = evalCTLK(fsm, spec)
self.assertEqual(een1, true)
specs = parseCTLK("E<'c2','c3'> ~'c1.payer'")
self.assertEqual(len(specs), 1)
spec = specs[0]
en1 = evalCTLK(fsm, spec)
self.assertTrue(even & fsm.reachable_states <= en1)
def evalATLK(fsm, spec, variant="SF", semantics="group"):
"""
Return the BDD representing the set of states of fsm satisfying spec.
fsm -- a MAS representing the system
spec -- an AST-based ATLK specification
variant -- the variant of the algorithm to evaluate strategic operators;
must be
* "SF" for the standard way: splitting in uniform strategies then
filtering winning states,
* "FS" for the alternating way: filtering winning states, then
splitting one conflicting equivalence class, then recurse
* "FSF" for the filter-split-filter way: filtering winning states
then splitting all remaining actions into uniform strategies,
then filtering final winning states.
If variant is not in {"SF", "FS", "FSF"}, the standard "SF" way is used.
"""
if semantics != "group":
raise PyNuSMVError("Optimal evalATLK: unsupported semantics:" +
semantics)
if type(spec) is TrueExp:
return BDD.true(fsm.bddEnc.DDmanager)
elif type(spec) is FalseExp:
return BDD.false(fsm.bddEnc.DDmanager)
elif type(spec) is Init:
return fsm.init
elif type(spec) is Reachable:
return fsm.reachable_states
elif type(spec) is Atom:
return eval_simple_expression(fsm, spec.value)
elif type(spec) is Not:
return ~evalATLK(fsm, spec.child, variant=variant)
elif type(spec) is And:
return (evalATLK(fsm, spec.left, variant=variant)
& evalATLK(fsm, spec.right, variant=variant))
elif type(spec) is Or:
return (evalATLK(fsm, spec.left, variant=variant)
| evalATLK(fsm, spec.right, variant=variant))
elif type(spec) is Implies:
# a -> b = ~a | b
return ((~evalATLK(fsm, spec.left, variant=variant))
| evalATLK(fsm, spec.right, variant=variant))
elif type(spec) is Iff:
# a <-> b = (a & b) | (~a & ~b)
l = evalATLK(fsm, spec.left, variant=variant)
r = evalATLK(fsm, spec.right, variant=variant)
return (l & r) | ((~l) & (~r))
elif type(spec) is EX:
return ex(fsm, evalATLK(fsm, spec.child, variant=variant))
elif type(spec) is AX:
# AX p = ~EX ~p
return ~ex(fsm, ~evalATLK(fsm, spec.child, variant=variant))
elif type(spec) is EG:
return eg(fsm, evalATLK(fsm, spec.child, variant=variant))
elif type(spec) is AG:
# AG p = ~EF ~p = ~E[ true U ~p ]
return ~eu(fsm, BDD.true(fsm.bddEnc.DDmanager),
~evalATLK(fsm, spec.child, variant=variant))
elif type(spec) is EU:
return eu(fsm, evalATLK(fsm, spec.left, variant=variant),
evalATLK(fsm, spec.right, variant=variant))
elif type(spec) is AU:
# A[p U q] = ~E[~q W ~p & ~q] = ~(E[~q U ~p & ~q] | EG ~q)
p = evalATLK(fsm, spec.left, variant=variant)
q = evalATLK(fsm, spec.right, variant=variant)
equpq = eu(fsm, ~q, ~q & ~p)
egq = eg(fsm, ~q)
return ~(equpq | egq)
elif type(spec) is EF:
# EF p = E[ true U p ]
return eu(fsm, BDD.true(fsm.bddEnc.DDmanager),
evalATLK(fsm, spec.child, variant=variant))
elif type(spec) is AF:
# AF p = ~EG ~p
return ~eg(fsm, ~evalATLK(fsm, spec.child, variant=variant))
elif type(spec) is EW:
# E[ p W q ] = E[ p U q ] | EG p
return (eu(fsm, evalATLK(fsm, spec.left, variant=variant),
evalATLK(fsm, spec.right, variant=variant))
| eg(fsm, evalATLK(fsm, spec.left, variant=variant)))
elif type(spec) is AW:
# A[p W q] = ~E[~q U ~p & ~q]
p = evalATLK(fsm, spec.left, variant=variant)
q = evalATLK(fsm, spec.right, variant=variant)
return ~eu(fsm, ~q, ~p & ~q)
elif type(spec) is nK:
return nk(fsm, spec.agent.value,
evalATLK(fsm, spec.child, variant=variant))
elif type(spec) is K:
# K<'a'> p = ~nK<'a'> ~p
return ~nk(fsm, spec.agent.value,
~evalATLK(fsm, spec.child, variant=variant))
elif type(spec) is nE:
return ne(fsm, [a.value for a in spec.group],
evalATLK(fsm, spec.child, variant=variant))
elif type(spec) is E:
# E<g> p = ~nE<g> ~p
return ~ne(fsm, [a.value for a in spec.group],
~evalATLK(fsm, spec.child, variant=variant))
elif type(spec) is nD:
return nd(fsm, [a.value for a in spec.group],
evalATLK(fsm, spec.child, variant=variant))
elif type(spec) is D:
# D<g> p = ~nD<g> ~p
return ~nd(fsm, [a.value for a in spec.group],
~evalATLK(fsm, spec.child, variant=variant))
elif type(spec) is nC:
return nc(fsm, [a.value for a in spec.group],
evalATLK(fsm, spec.child, variant=variant))
elif type(spec) is C:
# C<g> p = ~nC<g> ~p
return ~nc(fsm, [a.value for a in spec.group],
~evalATLK(fsm, spec.child, variant=variant))
elif type(spec) in {CEX, CAX, CEG, CAG, CEU, CAU, CEF, CAF, CEW, CAW}:
if variant == "SF":
return eval_strat(fsm, spec)
elif variant == "FS":
return eval_strat_improved(fsm, spec)
elif variant == "FSF":
return eval_strat_FSF(fsm, spec)
else:
return eval_strat(fsm, spec)
else:
# TODO Generate error
print("[ERROR] evalATLK: unrecognized specification type", spec)
return None
def test_split_by_picking(self):
fsm = self.little()
aa = eval_simple_expression(fsm, "a.a = 1")
ap = eval_simple_expression(fsm, "a.p = 1")
ba = eval_simple_expression(fsm, "b.a = 1")
bq = eval_simple_expression(fsm, "b.q = 1")
true = eval_simple_expression(fsm, "TRUE")
false = eval_simple_expression(fsm, "FALSE")
excluded = BDD.false(fsm.bddEnc.DDmanager)
strats = fsm.protocol({"a"})
print("protocol of a -- strats to consider")
self.show_si(fsm, strats)
si = fsm.pick_one_state_inputs(strats)
self.assertEqual(
len(fsm.pick_all_states(si.forsome(fsm.bddEnc.inputsCube))), 1)
s = fsm.pick_one_state(si.forsome(fsm.bddEnc.inputsCube))
print("si:", si.get_str_values())
print("s:", s.get_str_values())
eqs = fsm.equivalent_states(s, {"a"})
print("equivalent to", s.get_str_values())
self.show_s(fsm, eqs)
eqcl = strats & eqs
print("equivalence class (" + str(s.get_str_values()) + ")")
self.show_si(fsm, eqcl)
act = eqcl.forsome(fsm.bddEnc.statesCube)
print("actions of eq class (" + str(fsm.count_inputs(act)) + ")")
self.show_i(fsm, act)
gamma_inputs = [
var for agent in {"a"} for var in fsm.agents_inputvars[agent]
]
gamma_cube = fsm.bddEnc.cube_for_inputs_vars(gamma_inputs)
ngamma_cube = fsm.bddEnc.inputsCube - gamma_cube
nact = ~act.forsome(ngamma_cube) # Useless here
print("the other actions")
self.show_i(fsm, nact)
# There is more than one action if act contains other actions than
# si
self.assertTrue((
act -
si.forsome(fsm.bddEnc.statesCube).forsome(ngamma_cube)).is_false())
print("Are there other actions than si's one ?", (act - si.forsome(
fsm.bddEnc.statesCube).forsome(ngamma_cube)).isnot_false())
# remove act from Strats
excluded = excluded | (strats & eqcl)
print("excluded")
self.show_si(fsm, excluded)
strats = strats - excluded
print("new strats")
self.show_si(fsm, strats)
# Restart the process
si = fsm.pick_one_state_inputs(strats)
self.assertEqual(
len(fsm.pick_all_states(si.forsome(fsm.bddEnc.inputsCube))), 1)
s = fsm.pick_one_state(si.forsome(fsm.bddEnc.inputsCube))
print("si:", si.get_str_values())
print("s:", s.get_str_values())
eqs = fsm.equivalent_states(s, {"a"})
print("equivalent to", s.get_str_values())
self.show_s(fsm, eqs)
eqcl = strats & eqs
print("equivalence class (" + str(s.get_str_values()) + ")")
self.show_si(fsm, eqcl)
act = eqcl.forsome(fsm.bddEnc.statesCube)
print("actions of eq class (" + str(fsm.count_inputs(act)) + ")")
self.show_i(fsm, act)
print("Are there other actions than si's one ?", (act - si.forsome(
fsm.bddEnc.statesCube).forsome(ngamma_cube)).isnot_false())
self.show_i(
fsm,
(act - si.forsome(fsm.bddEnc.statesCube).forsome(ngamma_cube)))
# Need to split eqcl now !
# Keep eqcl to split strats later
fulleqcl = eqcl
ncss = (eqcl & si.forsome(fsm.bddEnc.statesCube).forsome(ngamma_cube))
eqcls = [ncss]
eqcl = eqcl - ncss
while eqcl.isnot_false():
si = fsm.pick_one_state_inputs(eqcl)
ncss = (eqcl
& si.forsome(fsm.bddEnc.statesCube).forsome(ngamma_cube))
eqcls.append(ncss)
eqcl = eqcl - ncss
for ncss in eqcls:
print("new non-conflicting subset")
self.show_si(fsm, ncss)
splitted = []
for ncss in eqcls:
splitted.append(strats - fulleqcl + ncss + excluded)
print("show splitted strats")
for substrat in splitted:
print("new sub strategy")
self.show_si(fsm, substrat)
def test_count(self):
fsm = self.model()
c1p = eval_simple_expression(fsm, "c1.payer")
c2p = eval_simple_expression(fsm, "c2.payer")
c3p = eval_simple_expression(fsm, "c3.payer")
c1ch = eval_simple_expression(fsm, "c1.coin = head")
c2ch = eval_simple_expression(fsm, "c2.coin = head")
c3ch = eval_simple_expression(fsm, "c3.coin = head")
c1se = eval_simple_expression(fsm, "c1.say = equal")
c2se = eval_simple_expression(fsm, "c2.say = equal")
c3se = eval_simple_expression(fsm, "c3.say = equal")
unknown = eval_simple_expression(fsm, "countsay = unknown")
odd = eval_simple_expression(fsm, "countsay = odd")
even = eval_simple_expression(fsm, "countsay = even")
true = eval_simple_expression(fsm, "TRUE")
false = eval_simple_expression(fsm, "FALSE")
self.assertEqual(1, fsm.count_states(fsm.pick_one_state(c1p)))
self.assertEqual(
1,
fsm.count_states(c1p & ~c2p & ~c3p & c1ch & c2ch & c3ch & unknown))
self.assertEqual(
1, fsm.count_states(c1p & ~c2p & ~c3p & c1ch & c2ch & c3ch & odd))
