def eval(self,cond):
if il.is_false(cond):
res = False
elif il.is_true(cond):
res = True
else:
res = il.is_true(self.aiger.get_sym(cond))
# print 'eval: {} = {}'.format(cond,res)
return res
def eval(self, cond):
truth = self.model.eval_to_constant(cond)
if lg.is_false(truth):
return False
elif lg.is_true(truth):
return True
assert False, truth
def eval(self,cond):
if il.is_false(cond):
return False
if il.is_true(cond):
return True
print 'assuming: {}'.format(cond)
return True
def aiger_witness_to_ivy_trace(aiger,witnessfilename,action,stvarset,ext_act,annot,consts,decoder):
with open(witnessfilename,'r') as f:
res = f.readline().strip()
if res != '1':
badwit()
tr = None
aiger.sub.reset()
lines = []
for line in f:
if line.endswith('\n'):
line = line[:-1]
lines.append(line)
print '\nCounterexample follows:'
print 80*'-'
current = dict()
count = 0
for line in lines:
if tr:
print ''
cols = line.split(' ')
# iu.dbg('cols')
if len(cols) != 4:
badwit()
pre,inp,out,post = cols
aiger.sub.step(inp)
count += 1
if count == len(lines):
invar_fail = il.Symbol('invar__fail',il.find_sort('bool'))
if il.is_true(aiger.get_sym(invar_fail)):
break
# print 'inputs:'
# for v in aiger.inputs:
# if v in decoder:
# print ' {} = {}'.format(decoder[v],aiger.get_sym(v))
print 'path:'
match_annotation(action,annot,AigerMatchHandler(aiger,decoder,consts,stvarset,current))
aiger.sub.next()
post = aiger.sub.latch_vals() # use this, since file can be wrong!
stvals = []
stmap = aiger.get_state(post)
# iu.dbg('stmap')
current = dict()
for v in aiger.latches: # last two are used for encoding
if v in decoder and v.name != '__init':
val = stmap[v]
if val is not None:
stvals.append(il.Equals(decoder[v],val))
current[decoder[v]] = val
print 'state:'
for stval in stvals:
print ' {}'.format(stval)
if not tr:
tr = IvyMCTrace(stvals) # first transition is initialization
else:
tr.add_state(stvals,ext_act) # remainder are exported actions
print 80*'-'
if tr is None:
badwit()
return tr
def vcgen(self,decls,proof):
goal = decls[0]
conc = pr.goal_conc(goal)
decls = decls[1:]
if not isinstance(conc,tm.TemporalModels) or not lg.is_true(conc.fmla):
raise iu.IvyError(self,'vcgen tactic applies only to safety properties')
model = conc.model
goal1 = triple_to_goal(proof.lineno,'initiation',model.init,postcond=model.invars)
goal2 = triple_to_goal(proof.lineno,'consecution',tm.env_action(model.bindings),
precond=model.invars+model.asms,postcond=model.invars)
return [goal1,goal2] + decls[1:]
def check_subgoals(goals):
mod = im.module
for goal in goals:
# print 'goal: {}'.format(goal)
conc = ivy_proof.goal_conc(goal)
if isinstance(conc, itmp.TemporalModels):
model = conc.model
fmla = conc.fmla
if not lg.is_true(fmla):
raise IvyError(
goal,
"""The temporal subgoal {} has not been reduced to an invariance property.
Try using a tactic such as l2s.""")
mod = im.module.copy()
mod.isolate_proof = None
# mod.labeled_axioms.extend(proved)
mod.labeled_props = []
mod.concept_spaces = []
mod.labeled_conjs = model.invars
mod.public_actions = set(model.calls)
mod.actions = model.binding_map
mod.initializers = [('init', model.init)]
mod.labeled_axioms = list(mod.labeled_axioms)
mod.assumed_invars = model.asms
for prem in ivy_proof.goal_prems(goal):
if prem.temporal:
mod.labeled_axioms.append(prem)
# ivy_printer.print_module(mod)
else:
goal = ivy_compiler.theorem_to_property(goal)
mod = im.module.copy()
# mod.labeled_axioms.extend(proved)
mod.labeled_props = [goal]
mod.concept_spaces = []
mod.labeled_conjs = []
mod.public_actions = set()
mod.actions = dict()
mod.initializers = []
mod.isolate_proof = None
mod.isolate_info = None
with mod:
check_isolate()
