def is_sufficient(self, button=None):
"""
Check if the active conjecture is sufficient to imply the current
CTI conjecture at the next step
TODO: this has a lot in common with check_inductiveness,
should refactor common parts out
"""
import ivy_transrel
import ivy_solver
from proof import ProofGoal
from ivy_logic_utils import Clauses, and_clauses, dual_clauses
from random import randrange
with self.ui_parent.run_context():
conj = self.get_selected_conjecture()
target_conj = self.parent.current_conjecture
ag = self.parent.new_ag()
pre = State()
pre.clauses = and_clauses(conj, *self.parent.conjectures)
pre.clauses.annot = ia.EmptyAnnotation()
action = ia.env_action(None)
post = ag.execute(action, pre)
post.clauses = ilu.true_clauses(annot=ia.EmptyAnnotation())
assert target_conj.is_universal_first_order()
used_names = frozenset(x.name for x in il.sig.symbols.values())
def witness(v):
c = lg.Const('@' + v.name, v.sort)
assert c.name not in used_names
return c
clauses = dual_clauses(target_conj, witness)
clauses.annot = ia.EmptyAnnotation()
res = ivy_trace.check_final_cond(ag, post, clauses, [], True)
text = '(1) ' + str(conj.to_formula()) + '\n(2) ' + str(
target_conj.to_formula())
if res is not None:
self.ui_parent.text_dialog(
'(1) does not imply (2) at the next time. View counterexample?',
text,
command_label='View',
command=lambda: self.ui_parent.add(res))
return False
else:
self.ui_parent.text_dialog('(1) implies (2) at the next time:',
text,
on_cancel=None)
return True
def is_inductive(self, button=None):
"""
Check if the active conjecture implies itself at the next step
TODO: this has a lot in common with check_inductiveness and is_sufficient,
should refactor common parts out
"""
import ivy_transrel
import ivy_solver
from proof import ProofGoal
from ivy_logic_utils import Clauses, and_clauses, dual_clauses
from random import randrange
with self.ui_parent.run_context():
conj = self.get_selected_conjecture()
target_conj = conj
ag = self.parent.new_ag()
pre = State()
pre.clauses = and_clauses(conj, *self.parent.conjectures)
action = im.module.actions['ext']
post = ag.execute(action, pre, None, 'ext')
post.clauses = ilu.true_clauses()
assert target_conj.is_universal_first_order()
used_names = frozenset(x.name for x in il.sig.symbols.values())
def witness(v):
c = lg.Const('@' + v.name, v.sort)
assert c.name not in used_names
return c
clauses = dual_clauses(target_conj, witness)
res = ag.bmc(post, clauses)
text = '(1) ' + str(conj.to_formula())
if res is not None:
self.ui_parent.text_dialog(
'(1) is not relatively inductive. View counterexample?',
text,
command_label='View',
command=lambda: self.ui_parent.add(res))
return False
else:
self.ui_parent.text_dialog('(1) is relatively inductive:',
text,
on_cancel=None)
return True
def is_sufficient(self, button=None):
"""
Check if the active conjecture is sufficient to imply the current
CTI conjecture at the next step
TODO: this has a lot in common with check_inductiveness,
should refactor common parts out
"""
import ivy_transrel
import ivy_solver
from proof import ProofGoal
from ivy_logic_utils import Clauses, and_clauses, dual_clauses
from random import randrange
with self.ui_parent.run_context():
conj = self.get_selected_conjecture()
target_conj = self.parent.current_conjecture
ag = self.parent.new_ag()
pre = State()
pre.clauses = and_clauses(conj, *self.parent.conjectures)
action = im.module.actions['ext']
post = ag.execute(action, pre, None, 'ext')
post.clauses = ilu.true_clauses()
assert target_conj.is_universal_first_order()
used_names = frozenset(x.name for x in il.sig.symbols.values())
def witness(v):
c = lg.Const('@' + v.name, v.sort)
assert c.name not in used_names
return c
clauses = dual_clauses(target_conj, witness)
res = ag.bmc(post, clauses)
text = '(1) ' + str(conj.to_formula()) + '\n(2) ' + str(target_conj.to_formula())
if res is not None:
self.ui_parent.text_dialog('(1) does not imply (2) at the next time. View counterexample?',
text,command_label='View',command = lambda: self.ui_parent.add(res))
return False
else:
self.ui_parent.text_dialog('(1) implies (2) at the next time:',text,on_cancel=None)
return True
def check_inductiveness(self, button=None):
import ivy_transrel
from ivy_solver import get_small_model
from proof import ProofGoal
from ivy_logic_utils import Clauses, and_clauses, dual_clauses
from random import randrange
with self.ui_parent.run_context():
ag = self.new_ag()
pre = State()
pre.clauses = and_clauses(*self.conjectures)
action = im.module.actions['ext']
with EvalContext(check=False): # don't check safety
post = ag.execute(action, pre, None, 'ext')
post.clauses = ilu.true_clauses()
to_test = list(self.conjectures) + [None] # None = check safety
while len(to_test) > 0:
# choose randomly, so the user can get another result by
# clicking again
conj = to_test.pop(randrange(len(to_test)))
assert conj == None or conj.is_universal_first_order()
used_names = frozenset(x.name for x in il.sig.symbols.values())
def witness(v):
c = lg.Const('@' + v.name, v.sort)
assert c.name not in used_names
return c
# TODO: this is still a bit hacky, and without nice error reporting
if self.relations_to_minimize.value == 'relations to minimize':
self.relations_to_minimize.value = ' '.join(sorted(
k for k, v in il.sig.symbols.iteritems()
if (type(v.sort) is lg.FunctionSort and
v.sort.range == lg.Boolean and
v.name not in self.transitive_relations and
'.' not in v.name
)
))
if conj == None: # check safety
clauses = ilu.true_clauses()
rels_to_min = [il.sig.symbols[x] for x in self.relations_to_minimize.value.split()]
else:
clauses = dual_clauses(conj, witness)
history = ag.get_history(post)
rels_to_min = [
# TODO: this is still a bit hacky, and without nice error reporting
history.maps[0].get(relation, relation)
for x in self.relations_to_minimize.value.split()
for relation in [il.sig.symbols[x]]
],
_get_model_clauses = lambda clauses, final_cond=False: get_small_model(
clauses,
sorted(il.sig.sorts.values()),
rels_to_min,
final_cond = final_cond
)
if conj == None:
print "check safety"
res = ag.check_bounded_safety(post, _get_model_clauses)
else:
res = ag.bmc(post, clauses, None, None, _get_model_clauses)
if res is not None:
self.current_conjecture = conj
assert len(res.states) == 2
# self.set_states(res.states[0], res.states[1])
# self.cti = self.ui_parent.add(res)
self.g = res
self.rebuild()
self.view_state(self.g.states[0], reset=True)
self.show_used_relations(clauses)
#self.post_graph.selected = self.get_relevant_elements(self.post_state[2], clauses)
if conj == None:
self.ui_parent.ok_dialog('An assertion failed. A failing state is displayed. You can decompose\nthe failing action observe the failing execution. ')
else:
self.ui_parent.text_dialog('The following conjecture is not relatively inductive:',
str(conj.to_formula()),on_cancel=None)
self.have_cti = True
return False
# self.set_states(False, False)
self.ui_parent.text_dialog('Inductive invariant found:',
'\n'.join(str(conj) for conj in self.conjectures))
self.have_cti = False
return True
def check_inductiveness(self, button=None):
import ivy_transrel
from ivy_solver import get_small_model
from proof import ProofGoal
from ivy_logic_utils import Clauses, and_clauses, dual_clauses
from random import randrange
with self.ui_parent.run_context():
ag = self.new_ag()
pre = State()
pre.clauses = and_clauses(*self.conjectures)
action = im.module.actions['ext']
with EvalContext(check=False): # don't check safety
post = ag.execute(action, pre, None, 'ext')
post.clauses = ilu.true_clauses()
to_test = list(self.conjectures) + [None] # None = check safety
while len(to_test) > 0:
# choose randomly, so the user can get another result by
# clicking again
conj = to_test.pop(randrange(len(to_test)))
assert conj == None or conj.is_universal_first_order()
used_names = frozenset(x.name for x in il.sig.symbols.values())
def witness(v):
c = lg.Const('@' + v.name, v.sort)
assert c.name not in used_names
return c
# TODO: this is still a bit hacky, and without nice error reporting
if self.relations_to_minimize.value == 'relations to minimize':
self.relations_to_minimize.value = ' '.join(
sorted(k for k, v in il.sig.symbols.iteritems() if (
type(v.sort) is lg.FunctionSort
and v.sort.range == lg.Boolean and v.name not in
self.transitive_relations and '.' not in v.name)))
if conj == None: # check safety
clauses = ilu.true_clauses()
rels_to_min = [
il.sig.symbols[x]
for x in self.relations_to_minimize.value.split()
]
else:
clauses = dual_clauses(conj, witness)
history = ag.get_history(post)
rels_to_min = [
# TODO: this is still a bit hacky, and without nice error reporting
history.maps[0].get(relation, relation)
for x in self.relations_to_minimize.value.split()
for relation in [il.sig.symbols[x]]
],
_get_model_clauses = lambda clauses, final_cond=False: get_small_model(
clauses,
sorted(il.sig.sorts.values()),
rels_to_min,
final_cond=final_cond)
if conj == None:
print "check safety"
res = ag.check_bounded_safety(post, _get_model_clauses)
else:
res = ag.bmc(post, clauses, None, None, _get_model_clauses)
if res is not None:
self.current_conjecture = conj
assert len(res.states) == 2
# self.set_states(res.states[0], res.states[1])
# self.cti = self.ui_parent.add(res)
self.g = res
self.rebuild()
self.view_state(self.g.states[0], reset=True)
self.show_used_relations(clauses)
#self.post_graph.selected = self.get_relevant_elements(self.post_state[2], clauses)
if conj == None:
self.ui_parent.ok_dialog(
'An assertion failed. A failing state is displayed. You can decompose\nthe failing action observe the failing execution. '
)
else:
self.ui_parent.text_dialog(
'The following conjecture is not relatively inductive:',
str(conj.to_formula()),
on_cancel=None)
self.have_cti = True
return False
# self.set_states(False, False)
self.ui_parent.text_dialog(
'Inductive invariant found:',
'\n'.join(str(conj) for conj in self.conjectures))
self.have_cti = False
return True
