def apply(self, goal, x, y, auto_remove=True):
info = dict(goal=goal, x=x, y=y)
if x:
ta.arg_add_facts(goal.node, y)
removed = []
removed_str = []
if auto_remove:
g = goal
while g is not None and ta.refuted_goal(g):
removed.append(g)
removed_str.append(str(g))
ta.remove_goal(g)
g = g.parent
info['removed'] = removed
if g is not None:
info['active'] = g
else:
info['active'] = goal.node
info['msg'] = dedent("""
Learned new fact at arg node {}:
{}
Removed goals: {}
""").strip().format(
goal.node.id,
y,
', '.join(removed_str),
)
else:
ta.push_goal(y)
info['active'] = y
info['msg'] = dedent("""
No refinement for goal {}, pushed new goal {}
""").strip().format(goal, y)
self.step(**info)
return x
def apply(self, goal, x, y, auto_remove=True):
info = dict(goal=goal, x=x, y=y)
if x:
ta.arg_add_facts(goal.node, y)
removed = []
removed_str = []
if auto_remove:
g = goal
while g is not None and ta.refuted_goal(g):
removed.append(g)
removed_str.append(str(g))
ta.remove_goal(g)
g = g.parent
info['removed'] = removed
if g is not None:
info['active'] = g
else:
info['active'] = goal.node
info['msg'] = dedent("""
Learned new fact at arg node {}:
{}
Removed goals: {}
""").strip().format(
goal.node.id,
y,
', '.join(removed_str),
)
else:
ta.push_goal(y)
info['active'] = y
info['msg'] = dedent("""
No refinement for goal {}, pushed new goal {}
""").strip().format(goal, y)
self.step(**info)
return x
def apply(self):
frames = ta._ivy_ag.states
bad_states = negate_clauses(get_safety_property())
action = get_big_action()
ta._ivy_ag.actions[repr(action)] = action
init_frame = last_frame = frames[0]
# TODO: test conjecture in initial
with InterruptContext() as ic:
while not ic.interrupted:
# the property is true in all frames and all "clauses" are pushed
# the goal stack is empty
# check if we found an infuctive invariant
for i in range(len(frames) - 1):
if check_cover(frames[i + 1], frames[i]):
return True
# add new frame
last_frame = ta.arg_add_action_node(last_frame, action, None)
push_goal(goal_at_arg_node(bad_states, last_frame))
self.step(label='new frame')
# push facts to last frame
recalculate_facts(last_frame, ta.arg_get_conjuncts(arg_get_pred(last_frame)))
while not ic.interrupted:
current_goal = top_goal()
if current_goal is None:
# goal stack is empty
break
if remove_if_refuted(current_goal):
continue
if current_goal.node == init_frame:
# no invariant
print "No Invariant!"
return False
push_diagram(current_goal, False)
dg = top_goal()
if refine_or_reverse(dg, False):
pass
# dg is proved,
# # propagate phase
# for i in range(1, len(frames)):
# facts_to_check = (set(arg_get_conjuncts(frames[i-1])) -
# set(arg_get_conjuncts(frames[i])))
# recalculate_facts(frames[i], facts_to_check)
else:
# new goal pushed
pass
# propagate phase
for i in range(1, len(frames)):
facts_to_check = (set(arg_get_conjuncts(frames[i-1])) -
set(arg_get_conjuncts(frames[i])))
recalculate_facts(frames[i], list(facts_to_check))
assert ic.interrupted
print "UPDR Interrupted by SIGINT"
return None
def apply(self, formula, node):
push_goal(goal_at_arg_node(formula, node))
self.step(node=node, formula=formula, active=ta.top_goal())
def apply(self, goal, weaken=False):
dg = ta.get_diagram(goal, weaken)
ta.push_goal(dg)
self.step(goal=goal, diagram=dg, active=ta.top_goal())
def interactive_updr():
frames = ta._ivy_ag.states
if len(frames) != 1:
raise InteractionError(
"Interactive UPDR can only be started when the ARG " +
"contains nothing but the initial state.")
bad_states = negate_clauses(ta.get_safety_property())
action = ta.get_big_action()
ta._ivy_ag.actions[repr(action)] = action
init_frame = last_frame = frames[0]
# TODO: test conjecture in initial
while True:
# the property is true in all frames and all "clauses" are pushed
# the goal stack is empty
# check if we found an infuctive invariant
for i in range(len(frames) - 1):
if t.check_cover(frames[i + 1], frames[i]):
ta.step(msg="Inductive invariant found at frame {}".format(i),
i=i)
# return True
# add new frame
last_frame = ta.arg_add_action_node(last_frame, action, None)
ta.push_goal(ta.goal_at_arg_node(bad_states, last_frame))
ta.step(msg="Added new frame")
# push facts to last frame
t.recalculate_facts(last_frame,
ta.arg_get_conjuncts(ta.arg_get_pred(last_frame)))
while True:
current_goal = ta.top_goal()
if current_goal is None:
# goal stack is empty
break
if t.remove_if_refuted(current_goal):
continue
if current_goal.node == init_frame:
# no invariant
print "No Invariant!"
# return False
dg = ta.get_diagram(current_goal, False)
options = OrderedDict()
for c in simplify_clauses(dg.formula).conjuncts():
options[str(c)] = c
user_selection = (yield UserSelectMultiple(
options=options,
title="Generalize Diagram",
prompt="Choose which literals to take as the refutation goal",
default=options.values()))
assert user_selection is not None
ug = ta.goal_at_arg_node(Clauses(list(user_selection)),
current_goal.node)
ta.push_goal(ug)
ta.step(msg='Pushed user selected goal', ug=ug)
goal = ta.top_goal()
preds, action = ta.arg_get_preds_action(goal.node)
assert action != 'join'
assert len(preds) == 1
pred = preds[0]
axioms = ta._ivy_interp.background_theory()
theory = and_clauses(
ivy_transrel.forward_image(pred.clauses, axioms,
action.update(ta._ivy_interp,
None)), axioms)
goal_clauses = simplify_clauses(goal.formula)
assert len(goal_clauses.defs) == 0
s = z3.Solver()
s.add(clauses_to_z3(theory))
s.add(clauses_to_z3(goal_clauses))
is_sat = s.check()
if is_sat == z3.sat:
bi = ta.backward_image(goal.formula, action)
x, y = False, ta.goal_at_arg_node(bi, pred)
elif is_sat == z3.unsat:
user_selection, user_is_sat = yield UserSelectCore(
theory=theory,
constrains=goal_clauses.fmlas,
title="Refinement",
prompt="Choose the literals to use",
)
assert user_is_sat is False
core = Clauses(user_selection)
x, y = True, ivy_transrel.interp_from_unsat_core(
goal_clauses, theory, core, None)
else:
assert False, is_sat
t.custom_refine_or_reverse(goal, x, y, False)
# propagate phase
for i in range(1, len(frames)):
facts_to_check = (set(ta.arg_get_conjuncts(frames[i - 1])) -
set(ta.arg_get_conjuncts(frames[i])))
t.recalculate_facts(frames[i], list(facts_to_check))
def apply(self):
frames = ta._ivy_ag.states
bad_states = negate_clauses(get_safety_property())
action = get_big_action()
ta._ivy_ag.actions[repr(action)] = action
init_frame = last_frame = frames[0]
# TODO: test conjecture in initial
with InterruptContext() as ic:
while not ic.interrupted:
# the property is true in all frames and all "clauses" are pushed
# the goal stack is empty
# check if we found an infuctive invariant
for i in range(len(frames) - 1):
if check_cover(frames[i + 1], frames[i]):
return True
# add new frame
last_frame = ta.arg_add_action_node(last_frame, action, None)
push_goal(goal_at_arg_node(bad_states, last_frame))
self.step(label='new frame')
# push facts to last frame
recalculate_facts(
last_frame, ta.arg_get_conjuncts(arg_get_pred(last_frame)))
while not ic.interrupted:
current_goal = top_goal()
if current_goal is None:
# goal stack is empty
break
if remove_if_refuted(current_goal):
continue
if current_goal.node == init_frame:
# no invariant
print "No Invariant!"
return False
push_diagram(current_goal, False)
dg = top_goal()
if refine_or_reverse(dg, False):
pass
# dg is proved,
# # propagate phase
# for i in range(1, len(frames)):
# facts_to_check = (set(arg_get_conjuncts(frames[i-1])) -
# set(arg_get_conjuncts(frames[i])))
# recalculate_facts(frames[i], facts_to_check)
else:
# new goal pushed
pass
# propagate phase
for i in range(1, len(frames)):
facts_to_check = (set(arg_get_conjuncts(frames[i - 1])) -
set(arg_get_conjuncts(frames[i])))
recalculate_facts(frames[i], list(facts_to_check))
assert ic.interrupted
print "UPDR Interrupted by SIGINT"
return None
def apply(self, formula, node):
push_goal(goal_at_arg_node(formula, node))
self.step(node=node, formula=formula, active=ta.top_goal())
def apply(self, goal, weaken=False):
dg = ta.get_diagram(goal, weaken)
ta.push_goal(dg)
self.step(goal=goal, diagram=dg, active=ta.top_goal())
def interactive_updr():
frames = ta._ivy_ag.states
if len(frames) != 1:
raise InteractionError(
"Interactive UPDR can only be started when the ARG " + "contains nothing but the initial state."
)
bad_states = negate_clauses(ta.get_safety_property())
action = ta.get_big_action()
ta._ivy_ag.actions[repr(action)] = action
init_frame = last_frame = frames[0]
# TODO: test conjecture in initial
while True:
# the property is true in all frames and all "clauses" are pushed
# the goal stack is empty
# check if we found an infuctive invariant
for i in range(len(frames) - 1):
if t.check_cover(frames[i + 1], frames[i]):
ta.step(msg="Inductive invariant found at frame {}".format(i), i=i)
# return True
# add new frame
last_frame = ta.arg_add_action_node(last_frame, action, None)
ta.push_goal(ta.goal_at_arg_node(bad_states, last_frame))
ta.step(msg="Added new frame")
# push facts to last frame
t.recalculate_facts(last_frame, ta.arg_get_conjuncts(ta.arg_get_pred(last_frame)))
while True:
current_goal = ta.top_goal()
if current_goal is None:
# goal stack is empty
break
if t.remove_if_refuted(current_goal):
continue
if current_goal.node == init_frame:
# no invariant
print "No Invariant!"
# return False
dg = ta.get_diagram(current_goal, False)
options = OrderedDict()
for c in simplify_clauses(dg.formula).conjuncts():
options[str(c)] = c
user_selection = (
yield UserSelectMultiple(
options=options,
title="Generalize Diagram",
prompt="Choose which literals to take as the refutation goal",
default=options.values(),
)
)
assert user_selection is not None
ug = ta.goal_at_arg_node(Clauses(list(user_selection)), current_goal.node)
ta.push_goal(ug)
ta.step(msg="Pushed user selected goal", ug=ug)
goal = ta.top_goal()
preds, action = ta.arg_get_preds_action(goal.node)
assert action != "join"
assert len(preds) == 1
pred = preds[0]
axioms = ta._ivy_interp.background_theory()
theory = and_clauses(
ivy_transrel.forward_image(pred.clauses, axioms, action.update(ta._ivy_interp, None)), axioms
)
goal_clauses = simplify_clauses(goal.formula)
assert len(goal_clauses.defs) == 0
s = z3.Solver()
s.add(clauses_to_z3(theory))
s.add(clauses_to_z3(goal_clauses))
is_sat = s.check()
if is_sat == z3.sat:
bi = ta.backward_image(goal.formula, action)
x, y = False, ta.goal_at_arg_node(bi, pred)
elif is_sat == z3.unsat:
user_selection, user_is_sat = yield UserSelectCore(
theory=theory,
constrains=goal_clauses.fmlas,
title="Refinement",
prompt="Choose the literals to use",
)
assert user_is_sat is False
core = Clauses(user_selection)
x, y = True, ivy_transrel.interp_from_unsat_core(goal_clauses, theory, core, None)
else:
assert False, is_sat
t.custom_refine_or_reverse(goal, x, y, False)
# propagate phase
for i in range(1, len(frames)):
facts_to_check = set(ta.arg_get_conjuncts(frames[i - 1])) - set(ta.arg_get_conjuncts(frames[i]))
t.recalculate_facts(frames[i], list(facts_to_check))