def test_bmc_setup(self):
# pre conditions not satisfied
# model must be loaded
with self.assertRaises(NuSMVNeedBooleanModelError):
bmcglob.bmc_setup()
# vars need to be encoded
load(self.model())
with self.assertRaises(NuSMVNeedBooleanModelError):
bmcglob.bmc_setup()
# boolean model must be compiled out of the sexp
flatten_hierarchy()
with self.assertRaises(NuSMVNeedBooleanModelError):
bmcglob.bmc_setup()
# hierarchy must be flattened (actually, this is a requirement for the
# boolean model too)
encode_variables()
with self.assertRaises(NuSMVNeedBooleanModelError):
bmcglob.bmc_setup()
# may not be called 2 times
build_boolean_model()
with self.assertRaises(NuSMVBmcAlreadyInitializedError):
bmcglob.bmc_setup()
bmcglob.bmc_setup()
# even if the force flag is on (that's COI related)
with self.assertRaises(NuSMVBmcAlreadyInitializedError):
bmcglob.bmc_setup(force=True)
bmcglob.bmc_exit()
def test_bmc_setup(self):
# pre conditions not satisfied
# model must be loaded
with self.assertRaises(NuSMVNeedBooleanModelError):
bmcglob.bmc_setup()
# vars need to be encoded
load(self.model())
with self.assertRaises(NuSMVNeedBooleanModelError):
bmcglob.bmc_setup()
# boolean model must be compiled out of the sexp
flatten_hierarchy()
with self.assertRaises(NuSMVNeedBooleanModelError):
bmcglob.bmc_setup()
# hierarchy must be flattened (actually, this is a requirement for the
# boolean model too)
encode_variables()
with self.assertRaises(NuSMVNeedBooleanModelError):
bmcglob.bmc_setup()
# may not be called 2 times
build_boolean_model()
with self.assertRaises(NuSMVBmcAlreadyInitializedError):
bmcglob.bmc_setup()
bmcglob.bmc_setup()
# even if the force flag is on (that's COI related)
with self.assertRaises(NuSMVBmcAlreadyInitializedError):
bmcglob.bmc_setup(force=True)
bmcglob.bmc_exit()
def test_sets_the_global_values(self):
glob.flatten_hierarchy()
glob.encode_variables()
with self.assertRaises(NuSMVNeedBooleanModelError):
glob.master_bool_sexp_fsm()
glob.build_boolean_model()
self.assertIsNotNone(glob.master_bool_sexp_fsm())
def test_master_be_fsm(self):
load(self.model())
flatten_hierarchy()
encode_variables()
build_boolean_model()
bmcglob.bmc_setup()
# may not provoke C assert failures
bmcglob.build_master_be_fsm()
self.assertEqual(bmcglob.master_be_fsm(), BeFsm.global_master_instance())
bmcglob.bmc_exit()
def test_build_master_be_fsm(self):
load(self.model())
flatten_hierarchy()
encode_variables()
build_boolean_model()
bmcglob.bmc_setup()
# may not provoke C assert failures
bmcglob.build_master_be_fsm()
bmcglob.bmc_exit()
def test_build_master_be_fsm(self):
load(self.model())
flatten_hierarchy()
encode_variables()
build_boolean_model()
bmcglob.bmc_setup()
# may not provoke C assert failures
bmcglob.build_master_be_fsm()
bmcglob.bmc_exit()
def setUp(self):
init_nusmv()
glob.load(self.model())
glob.flatten_hierarchy()
glob.encode_variables() # does it for BDD
self.go_bmc()
pd = _prop.PropPkg_get_prop_database()
fsm= _prop.PropDb_master_get_be_fsm(pd)
self._TEST = _be.BeFsm_get_fairness_list(fsm)
def setUp(self):
init_nusmv()
glob.load(self.model())
glob.flatten_hierarchy()
glob.encode_variables() # does it for BDD
self.go_bmc()
pd = _prop.PropPkg_get_prop_database()
fsm = _prop.PropDb_master_get_be_fsm(pd)
self._TEST = _be.BeFsm_get_fairness_list(fsm)
def test_master_be_fsm(self):
load(self.model())
flatten_hierarchy()
encode_variables()
build_boolean_model()
bmcglob.bmc_setup()
# may not provoke C assert failures
bmcglob.build_master_be_fsm()
self.assertEqual(bmcglob.master_be_fsm(),
BeFsm.global_master_instance())
bmcglob.bmc_exit()
def test_variables_ordering(self):
glob.load_from_file("tests/pynusmv/models/constraints.smv")
glob.flatten_hierarchy()
glob.encode_variables(variables_ordering=
"tests/pynusmv/models/constraints.ord")
glob.compute_model()
fsm = glob.prop_database().master.bddFsm
with open("tests/pynusmv/models/constraints.ord", "r") as f:
order = f.read().split("\n")
self.assertListEqual(order,
list(fsm.bddEnc.get_variables_ordering()))
def test_variables_ordering(self):
glob.load_from_file("tests/pynusmv/models/constraints.smv")
glob.flatten_hierarchy()
glob.encode_variables(
variables_ordering="tests/pynusmv/models/constraints.ord")
glob.compute_model()
fsm = glob.prop_database().master.bddFsm
with open("tests/pynusmv/models/constraints.ord", "r") as f:
order = f.read().split("\n")
self.assertListEqual(order,
list(fsm.bddEnc.get_variables_ordering()))
def test_no_model(self):
with self.assertRaises(NuSMVNeedFlatModelError):
glob.build_model()
glob.load_from_file("tests/pynusmv/models/counters.smv")
with self.assertRaises(NuSMVNeedFlatModelError):
glob.build_model()
glob.flatten_hierarchy()
with self.assertRaises(NuSMVNeedFlatModelError):
glob.build_model()
glob.build_flat_model()
with self.assertRaises(NuSMVNeedVariablesEncodedError):
glob.build_model()
glob.encode_variables()
glob.build_model()
with self.assertRaises(NuSMVModelAlreadyBuiltError):
glob.build_model()
def go_bmc(force=False):
"""
Performs all the necessary steps to use loaded model and be able to perform
bmc related operations on it.
:raises NuSMVNoReadModelError: if no module was read (:func:`pynusmv.glob.load`)
before this method was called.
"""
cmp = glob.global_compile_cmps()
if not _compile.cmp_struct_get_read_model(cmp):
raise NuSMVNoReadModelError("No read model.")
# Check cmps and perform what is needed
if not _compile.cmp_struct_get_flatten_hrc(cmp):
glob.flatten_hierarchy()
if not _compile.cmp_struct_get_encode_variables(cmp):
glob.encode_variables()
if not _compile.cmp_struct_get_build_bool_model(cmp):
glob.build_boolean_model(force=force)
if not _compile.cmp_struct_get_bmc_setup(cmp):
bmc_setup(force=force)
def go_bmc(force=False):
"""
Performs all the necessary steps to use loaded model and be able to perform
bmc related operations on it.
:raises NuSMVNoReadModelError: if no module was read (:see:`glob.load`)
before this method was called.
"""
cmp = glob.global_compile_cmps()
if not _compile.cmp_struct_get_read_model(cmp):
raise NuSMVNoReadModelError("No read model.")
# Check cmps and perform what is needed
if not _compile.cmp_struct_get_flatten_hrc(cmp):
glob.flatten_hierarchy()
if not _compile.cmp_struct_get_encode_variables(cmp):
glob.encode_variables()
if not _compile.cmp_struct_get_build_bool_model(cmp):
glob.build_boolean_model(force=force)
if not _compile.cmp_struct_get_bmc_setup(cmp):
bmc_setup(force=force)
def test_model(self):
glob.load_from_file("tests/pynusmv/models/counters.smv")
glob.flatten_hierarchy()
glob.encode_variables()
glob.build_flat_model()
glob.build_model()
def test_no_encoding_after_parsing(self):
glob.load_from_file("tests/pynusmv/models/counters.smv")
with self.assertRaises(NuSMVNeedFlatHierarchyError):
glob.encode_variables()
def test_no_encoding(self):
with self.assertRaises(NuSMVNeedFlatHierarchyError):
glob.encode_variables()
def test_model(self):
glob.load_from_file("tests/pynusmv/models/counters.smv")
glob.flatten_hierarchy()
glob.encode_variables()
glob.build_flat_model()
glob.build_model()
def test_already_encoded(self):
glob.load_from_file("tests/pynusmv/models/counters.smv")
glob.flatten_hierarchy()
glob.encode_variables()
with self.assertRaises(NuSMVModelAlreadyEncodedError):
glob.encode_variables()
def test_must_not_be_already_built_unless_force_flag(self):
glob.flatten_hierarchy()
glob.encode_variables()
glob.build_boolean_model()
glob.build_boolean_model(force=True)
def test_no_encoding(self):
with self.assertRaises(NuSMVNeedFlatHierarchyError):
glob.encode_variables()
def test_no_encoding_after_parsing(self):
glob.load_from_file("tests/pynusmv/models/counters.smv")
with self.assertRaises(NuSMVNeedFlatHierarchyError):
glob.encode_variables()
def test_must_not_be_already_built(self):
glob.flatten_hierarchy()
glob.encode_variables()
glob.build_boolean_model()
with self.assertRaises(NuSMVModelAlreadyBuiltError):
glob.build_boolean_model()