spot/tests/python/sum.py
Thomas Medioni 194c199232 Implement sum(..) and sum_and(..).
Fixes #231.

* NEWS: Mention of implementation of sum, sum_and.
* bin/autfilt.cc: Add --sum, --sum-or and --sum-and options.
* python/spot/impl.i: Add bindings for sum, sum_and.
* spot/twaalgos/Makefile.am: Add sum.cc, sum.hh.
* spot/twaalgos/sum.cc: Implement sum, sum_and.
* spot/twaalgos/sum.hh: Declaration of sum, sum_and.
* tests/Makefile.am: Add sum tests.
* tests/core/explsum.test: Test the sum of two automatons,
  false or false, unsatisfied mark propagation, handling of univ.
  transitions.
* tests/python/sum.py: Check that two automatons that does not
  share their bdd dict are not accepted, then run tests over the
  sum of randomly generated LTL formulas.
2017-03-09 11:42:08 +01:00

91 lines
2.5 KiB
Python

# -*- mode: python; coding: utf-8 -*-
# Copyright (C) 2017 Laboratoire de Recherche et Développement
# de l'Epita
#
# This file is part of Spot, a model checking library.
#
# Spot is free software; you can redistribute it and/or modify it
# under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 3 of the License, or
# (at your option) any later version.
#
# Spot is distributed in the hope that it will be useful, but WITHOUT
# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
# or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public
# License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
import spot
import sys
import itertools
# make sure that we are not allowed to build the sum of two automata with
# different dictionaries.
aut1 = spot.translate('Xa')
aut2 = spot.translate('Xb', dict=spot.make_bdd_dict())
try:
spot.sum(aut1, aut2)
exit(2)
except RuntimeError:
pass
opts = spot.option_map()
opts.set('output', spot.OUTPUTLTL)
opts.set('tree_size_min', 15)
opts.set('tree_size_max', 15)
opts.set('wf', False)
opts.set('seed', 0)
opts.set('simplification_level', 0)
spot.srand(0)
rg = spot.randltlgenerator(2, opts)
dict = spot.make_bdd_dict()
def produce_phi(rg, n):
phi = []
while len(phi) < n:
f = rg.next()
if f.is_syntactic_persistence():
phi.append(f)
return phi
def equivalent(a, phi):
negphi = spot.formula.Not(phi)
nega = spot.dtwa_complement(spot.tgba_determinize(a))
a2 = spot.ltl_to_tgba_fm(phi, dict)
nega2 = spot.ltl_to_tgba_fm(negphi, dict)
return spot.product(a, nega2).is_empty()\
and spot.product(nega, a2).is_empty()
phi1 = produce_phi(rg, 1000)
phi2 = produce_phi(rg, 1000)
inputres = []
aut = []
for p in zip(phi1, phi2):
inputres.append(spot.formula.Or(p))
a1 = spot.ltl_to_tgba_fm(p[0], dict)
a2 = spot.ltl_to_tgba_fm(p[1], dict)
aut.append(spot.to_generalized_buchi( \
spot.remove_alternation(spot.sum(a1, a2), True)))
for p in zip(aut, inputres):
assert equivalent(p[0], p[1])
aut = []
inputres = []
for p in zip(phi1, phi2):
inputres.append(spot.formula.And(p))
a1 = spot.ltl_to_tgba_fm(p[0], dict)
a2 = spot.ltl_to_tgba_fm(p[1], dict)
aut.append(spot.to_generalized_buchi( \
spot.remove_alternation(spot.sum_and(a1, a2), True)))
for p in zip(aut, inputres):
assert equivalent(p[0], p[1])