def collect_defined_terms(self):
defined_terms = yapi.term_vector_t()
yapi.yices_init_term_vector(defined_terms)
#yapi.yices_model_collect_defined_terms(self.model, defined_terms)
Yices.model_collect_defined_terms(self.model, defined_terms)
retval = []
for i in range(0, defined_terms.size):
retval.append(defined_terms.data[i])
yapi.yices_delete_term_vector(defined_terms)
return retval
def generalize_model(self, term, elim_array, mode):
var_array = yapi.make_term_array(elim_array)
termv = yapi.term_vector_t()
yapi.yices_init_term_vector(termv)
errcode = yapi.yices_generalize_model(self.model, term, len(elim_array), var_array, mode, termv)
if errcode == -1:
yapi.yices_delete_term_vector(termv)
raise YicesException('yices_generalize_model')
retval = []
for i in range(0, termv.size):
retval.append(termv.data[i])
yapi.yices_delete_term_vector(termv)
return retval
def implicant_for_formula(self, term):
termv = yapi.term_vector_t()
yapi.yices_init_term_vector(termv)
try:
code = yapi.yices_implicant_for_formula(self.model, term, termv)
retval = []
if code != -1:
for i in range(0, termv.size):
retval.append(termv.data[i])
yapi.yices_delete_term_vector(termv)
return retval
except yapi.YicesAPIException:
yapi.yices_delete_term_vector(termv)
raise YicesException('implicant_for_formula')
def support_for_term(self, term):
"""Returns the list of uninterpreted terms that fix the value of the given term in the model."""
termv = yapi.term_vector_t()
yapi.yices_init_term_vector(termv)
try:
code = yapi.yices_model_term_support(self.model, term, termv)
retval = []
if code != -1:
for i in range(0, termv.size):
retval.append(termv.data[i])
yapi.yices_delete_term_vector(termv)
return retval
except yapi.YicesAPIException:
yapi.yices_delete_term_vector(termv)
raise YicesException('support_for_term')
def implicant_for_formulas(self, term_array):
tarray = yapi.make_term_array(term_array)
termv = yapi.term_vector_t()
yapi.yices_init_term_vector(termv)
try:
code = yapi.yices_implicant_for_formulas(self.model, len(term_array), tarray, termv)
retval = []
if code != -1:
for i in range(0, termv.size):
retval.append(termv.data[i])
yapi.yices_delete_term_vector(termv)
return retval
except yapi.YicesAPIException as catastrophy:
yapi.yices_delete_term_vector(termv)
raise YicesException('implicant_for_formulas') from catastrophy
def support_for_terms(self, term_array):
"""Returns the list of uninterpreted terms that fix the value in the model of every term in the given array."""
tarray = yapi.make_term_array(term_array)
termv = yapi.term_vector_t()
try:
yapi.yices_init_term_vector(termv)
code = yapi.yices_model_term_array_support(self.model, len(term_array), tarray, termv)
retval = []
if code != -1:
for i in range(0, termv.size):
retval.append(termv.data[i])
yapi.yices_delete_term_vector(termv)
return retval
except yapi.YicesAPIException as catastrophy:
yapi.yices_delete_term_vector(termv)
raise YicesException('support_for_terms') from catastrophy
def __iter__(self):
"""Overloading of iterator from Model. We iterate only on the
variables defined in the assignment.
"""
term_v = yicespy.term_vector_t()
yicespy.yices_init_term_vector(term_v)
#todo here
status = yicespy.yices_model_collect_defined_terms(self.yices_model, term_v)
self._check_error(status)
for d in term_v:
try:
pysmt_d = self.converter.back(d())
yield pysmt_d, self.get_value(pysmt_d)
except UndefinedSymbolError:
# avoids problems with symbols generated by z3
pass
yicespy.yices_delete_term_vector(term_v)
def get_named_unsat_core(self):
"""After a call to solve() yielding UNSAT, returns the unsat core as a
dict of names to formulae"""
if self.options.unsat_cores_mode is None:
raise SolverNotConfiguredForUnsatCoresError
if self.last_result is not False:
raise SolverStatusError("The last call to solve() was not" \
" unsatisfiable")
if self.last_command != "solve":
raise SolverStatusError("The solver status has been modified by a" \
" '%s' command after the last call to" \
" solve()" % self.last_command)
assumptions = yicespy.term_vector_t()
yicespy.yices_init_term_vector(assumptions)
code = yicespy.yices_get_unsat_core(self.yices, assumptions)
if code != 0:
msg = yicespy.yices_error_string()
raise InternalSolverError("Yices returned non-zero code upon unsat core extraction"\
": %s (code: %s)" % \
(msg, code))
# for i in range(assumptions.size):
# d = assumptions.data[i]
# print(yicespy.yices_term_to_string(d, 200, 10, 0))
pysmt_assumptions = set(self.converter.back(assumptions.data[i]) for i in range(assumptions.size))
yicespy.yices_delete_term_vector(assumptions)
res = {}
n_ass_map = self._named_assertions_map()
cnt = 0
for key in pysmt_assumptions:
if key in n_ass_map:
(name, formula) = n_ass_map[key]
if name is None:
name = "_a_%d" % cnt
cnt += 1
res[name] = formula
return res
def test_term_vector(self):
term_v = term_vector_t()
yices_init_term_vector(term_v)
yices_delete_term_vector(term_v)
yices_reset_term_vector(term_v)
def test_function_models(self):
funtype = yapi.yices_function_type3(self.int_t, self.bool_t,
self.real_t, self.real_t)
ftystr = yapi.yices_type_to_string(funtype, 100, 80, 0)
yapi.yices_pp_type_fd(1, funtype, 100, 80, 0)
self.assertEqual(ftystr, '(-> int bool real real)')
fun1 = define_const('fun1', funtype)
define_const('b1', self.bool_t)
i1 = define_const('i1', self.int_t)
r1 = define_const('r1', self.real_t)
assert_formula(
'(> (fun1 i1 b1 r1) (fun1 (+ i1 1) (not b1) (- r1 i1)))', self.ctx)
self.assertEqual(yapi.yices_check_context(self.ctx, self.param),
yapi.STATUS_SAT)
mdl = yapi.yices_get_model(self.ctx, 1)
mdlstr = yapi.yices_model_to_string(mdl, 80, 100, 0)
self.assertEqual(
mdlstr,
'(= b1 false)\n(= i1 1463)\n(= r1 -579)\n(function fun1\n (type (-> int bool real real))\n (= (fun1 1463 false -579) 1)\n (= (fun1 1464 true -2042) 0)\n (default 2))'
)
yv1 = yapi.yval_t()
yapi.yices_get_value(mdl, fun1, yv1)
self.assertEqual(yv1.node_tag, yapi.YVAL_FUNCTION)
self.assertEqual(yapi.yices_val_function_arity(mdl, yv1), 3)
def1 = yapi.yval_t()
vec1 = yapi.yval_vector_t()
yapi.yices_init_yval_vector(vec1)
yapi.yices_val_expand_function(mdl, yv1, def1, vec1)
self.assertEqual(def1.node_tag, yapi.YVAL_RATIONAL)
i32val1 = c_int32()
yapi.yices_val_get_int32(mdl, def1, i32val1)
self.assertEqual(i32val1.value, 2)
self.assertEqual(vec1.size, 2)
map1 = vec1.data[0]
map2 = vec1.data[1]
self.assertEqual(map1.node_tag, yapi.YVAL_MAPPING)
self.assertEqual(map2.node_tag, yapi.YVAL_MAPPING)
self.assertEqual(yapi.yices_val_mapping_arity(mdl, map1), 3)
self.assertEqual(yapi.yices_val_mapping_arity(mdl, map2), 3)
# First mapping
args1 = yapi.make_empty_yval_array(3)
yval1 = yapi.yval_t()
yapi.yices_val_expand_mapping(mdl, map1, args1, yval1)
self.assertEqual(yval1.node_tag, yapi.YVAL_RATIONAL)
self.assertEqual(yapi.yices_val_is_int32(mdl, yval1), 1)
val1 = c_int32()
yapi.yices_val_get_int32(mdl, yval1, val1)
self.assertEqual(val1.value, 1)
self.assertEqual(args1[0].node_tag, yapi.YVAL_RATIONAL)
self.assertEqual(yapi.yices_val_is_int32(mdl, args1[0]), 1)
m1arg1 = c_int32()
yapi.yices_val_get_int32(mdl, args1[0], m1arg1)
self.assertEqual(m1arg1.value, 1463)
self.assertEqual(args1[1].node_tag, yapi.YVAL_BOOL)
m1arg2 = c_int()
yapi.yices_val_get_bool(mdl, args1[1], m1arg2)
self.assertEqual(m1arg2.value, 0)
m1arg3 = c_int32()
yapi.yices_val_get_int32(mdl, args1[2], m1arg3)
self.assertEqual(m1arg3.value, -579)
# Second mapping
args2 = yapi.make_empty_yval_array(3)
yval2 = yapi.yval_t()
yapi.yices_val_expand_mapping(mdl, map2, args2, yval2)
self.assertEqual(yval2.node_tag, yapi.YVAL_RATIONAL)
self.assertEqual(yapi.yices_val_is_int32(mdl, yval2), 1)
val2 = c_int32()
yapi.yices_val_get_int32(mdl, yval2, val2)
self.assertEqual(val2.value, 0)
self.assertEqual(args2[0].node_tag, yapi.YVAL_RATIONAL)
self.assertEqual(yapi.yices_val_is_int32(mdl, args2[0]), 1)
m2arg2 = c_int32()
yapi.yices_val_get_int32(mdl, args2[0], m2arg2)
self.assertEqual(m2arg2.value, 1464)
self.assertEqual(args2[1].node_tag, yapi.YVAL_BOOL)
m2arg2 = c_int()
yapi.yices_val_get_bool(mdl, args2[1], m2arg2)
self.assertEqual(m2arg2.value, 1)
m2arg3 = c_int32()
yapi.yices_val_get_int32(mdl, args2[2], m2arg3)
self.assertEqual(m2arg3.value, -2042)
fmla = yapi.yices_parse_term('(> i1 r1)')
self.assertEqual(yapi.yices_formula_true_in_model(mdl, fmla), 1)
a_arr = yapi.make_term_array([i1, fmla, r1])
b_arr = yapi.make_empty_term_array(3)
yapi.yices_term_array_value(mdl, 3, a_arr, b_arr)
self.assertEqual(b_arr[0], yapi.yices_int32(1463))
self.assertEqual(b_arr[1], yapi.yices_true())
self.assertEqual(b_arr[2], yapi.yices_int32(-579))
yapi.yices_pp_term_array_fd(1, 3, b_arr, 100, 10, 0, 0)
tvec3 = yapi.term_vector_t()
yapi.yices_init_term_vector(tvec3)
yapi.yices_generalize_model(mdl, fmla, 1, a_arr, 0, tvec3)
yapi.yices_delete_term_vector(tvec3)
