def parse_string(self, lines): [none, var, state, input, output, init, invar, trans, ftrans] = range(9) section = none inits = TRUE() invars = TRUE() transs = TRUE() ftranss = {} sparser = StringParser() count = 0 vars = set([]) states = set([]) inputs = set([]) outputs = set([]) invar_props = [] ltl_props = [] for line in lines: count += 1 if (line.strip() in ["", "\n"]) or line[0] == T_COM: continue if T_VAR == line[:len(T_VAR)]: section = var continue if T_STATE == line[:len(T_STATE)]: section = state continue if T_INPUT == line[:len(T_INPUT)]: section = input continue if T_OUTPUT == line[:len(T_OUTPUT)]: section = output continue if T_INIT == line[:len(T_INIT)]: section = init continue if T_INVAR == line[:len(T_INVAR)]: section = invar continue if T_TRANS == line[:len(T_TRANS)]: section = trans continue if T_FTRANS == line[:len(T_FTRANS)]: section = ftrans continue if section in [var, state, input, output]: varname, vartype = line[:-2].replace(" ", "").split(":") if varname[0] == "'": varname = varname[1:-1] vartype = parse_typestr(vartype) vardef = self._define_var(varname, vartype) vars.add(vardef) if section == state: states.add(vardef) if section == input: inputs.add(vardef) if section == output: outputs.add(vardef) if section in [init, invar, trans]: line = line.replace(T_SC, "").strip() qline = quote_names(line, replace_ops=False) if section == init: inits = And(inits, sparser.parse_formula(qline)) if section == invar: invars = And(invars, sparser.parse_formula(qline)) if section == trans: transs = And(transs, sparser.parse_formula(qline)) if section == ftrans: strvar = line[:line.find(":=")] var = sparser.parse_formula( quote_names(strvar, replace_ops=False)) cond_ass = line[line.find(":=") + 2:].strip() ftranss[var] = [] for cond_as in cond_ass.split("{"): if cond_as == "": continue cond = cond_as[:cond_as.find(",")] ass = cond_as[cond_as.find(",") + 1:cond_as.find("}")] ftranss[var].append((sparser.parse_formula( quote_names(cond, replace_ops=False)), sparser.parse_formula( quote_names(ass, replace_ops=False)))) hts = HTS("STS") ts = TS() ts.vars = vars ts.state_vars = states ts.input_vars = inputs ts.output_vars = outputs ts.init = inits ts.invar = invars ts.trans = transs ts.ftrans = ftranss hts.add_ts(ts) return (hts, invar_props, ltl_props)
def parse_string(self, lines): [none, var, state, input, output, init, invar, trans] = range(8) section = none inits = TRUE() invars = TRUE() transs = TRUE() sparser = StringParser() count = 0 vars = set([]) states = set([]) inputs = set([]) outputs = set([]) invar_props = [] ltl_props = [] for line in lines: count += 1 if line.strip() in ["", "\n"]: continue if T_VAR == line[:len(T_VAR)]: section = var continue if T_STATE == line[:len(T_STATE)]: section = state continue if T_INPUT == line[:len(T_INPUT)]: section = input continue if T_OUTPUT == line[:len(T_OUTPUT)]: section = output continue if T_INIT == line[:len(T_INIT)]: section = init continue if T_INVAR == line[:len(T_INVAR)]: section = invar continue if T_TRANS == line[:len(T_TRANS)]: section = trans continue if section in [var, state, input, output]: line = line[:-2].replace(" ", "").split(":") varname, vartype = line[0], (line[1][:-1].split("(")) if varname[0] == "'": varname = varname[1:-1] vardef = self._define_var(varname, vartype) vars.add(vardef) if section == state: states.add(vardef) if section == input: inputs.add(vardef) if section == output: outputs.add(vardef) if section in [init, invar, trans]: qline = quote_names(line[:-2], replace_ops=False) if section == init: inits = And(inits, sparser.parse_formula(qline)) if section == invar: invars = And(invars, sparser.parse_formula(qline)) if section == trans: transs = And(transs, sparser.parse_formula(qline)) hts = HTS("STS") ts = TS() ts.vars = vars ts.state_vars = states ts.input_vars = inputs ts.output_vars = outputs ts.init = inits ts.invar = invars ts.trans = transs hts.add_ts(ts) return (hts, invar_props, ltl_props)
def combine_systems(hts, hts2, k, symbolic_init, eqprop=None, inc=True, non_deterministic=False): htseq = HTS("eq") hts1_varnames = [v.symbol_name() for v in hts.vars] hts2_varnames = [v.symbol_name() for v in hts2.vars] map1 = dict([(v, TS.get_prefix_name(v, S1)) for v in hts1_varnames]+\ [(TS.get_prime_name(v), TS.get_prefix_name(TS.get_prime_name(v), S1)) for v in hts1_varnames]) map2 = dict([(v, TS.get_prefix_name(v, S2)) for v in hts2_varnames]+\ [(TS.get_prime_name(v), TS.get_prefix_name(TS.get_prime_name(v), S2)) for v in hts2_varnames]) ts1_init = TRUE() ts2_init = TRUE() if not symbolic_init: ts1_init = substitute(hts.single_init(), map1) ts2_init = substitute(hts2.single_init(), map2) ts1 = TS() ts1.vars = set([TS.get_prefix(v, S1) for v in hts.vars]) ts1.set_behavior(ts1_init,\ substitute(hts.single_trans(), map1),\ substitute(hts.single_invar(), map1)) ts1.state_vars = set([TS.get_prefix(v, S1) for v in hts.state_vars]) ts2 = TS() ts2.vars = set([TS.get_prefix(v, S2) for v in hts2.vars]) ts2.set_behavior(ts2_init,\ substitute(hts2.single_trans(), map2),\ substitute(hts2.single_invar(), map2)) ts2.state_vars = set([TS.get_prefix(v, S2) for v in hts2.state_vars]) htseq.add_ts(ts1) htseq.add_ts(ts2) assumptions = [] lemmas = [] def sets_intersect(set1, set2): for el in set1: if not el in set2: return False return True if hts.assumptions is not None: for assumption in hts.assumptions: assumptions.append(assumption) if hts.lemmas is not None: for lemma in hts.lemmas: lemmas.append(lemma) if hts2.assumptions is not None: for assumption in hts2.assumptions: assumptions.append(assumption) if hts2.lemmas is not None: for lemma in hts2.lemmas: lemmas.append(lemma) for assumption in assumptions: fv_assumption = get_free_variables(assumption) c_assumption = TRUE() if sets_intersect(fv_assumption, hts.vars): c_assumption = And(c_assumption, substitute(assumption, map1)) if sets_intersect(fv_assumption, hts2.vars): c_assumption = And(c_assumption, substitute(assumption, map2)) if c_assumption != TRUE(): htseq.add_assumption(c_assumption) for lemma in lemmas: fv_lemma = get_free_variables(lemma) c_lemma = TRUE() if sets_intersect(fv_lemma, hts.vars): c_lemma = And(c_lemma, substitute(lemma, map1)) if sets_intersect(fv_lemma, hts2.vars): c_lemma = And(c_lemma, substitute(lemma, map2)) if c_lemma != TRUE(): htseq.add_lemma(c_lemma) miter_out = Symbol(EQS, BOOL) inputs = hts.input_vars.intersection(hts2.input_vars) outputs = hts.output_vars.intersection(hts2.output_vars) htseq.input_vars = set([ TS.get_prefix(v, S1) for v in hts.input_vars ]).union(set([TS.get_prefix(v, S2) for v in hts2.input_vars])) htseq.output_vars = set([ TS.get_prefix(v, S1) for v in hts.output_vars ]).union(set([TS.get_prefix(v, S2) for v in hts2.output_vars])) if symbolic_init or (not non_deterministic): states = hts.state_vars.intersection(hts2.state_vars) else: states = [] eqinputs = TRUE() eqoutputs = TRUE() eqstates = TRUE() for inp in inputs: eqinputs = And( eqinputs, EqualsOrIff(TS.get_prefix(inp, S1), TS.get_prefix(inp, S2))) for out in outputs: eqoutputs = And( eqoutputs, EqualsOrIff(TS.get_prefix(out, S1), TS.get_prefix(out, S2))) for svar in states: eqstates = And( eqstates, EqualsOrIff(TS.get_prefix(svar, S1), TS.get_prefix(svar, S2))) if eqprop is None: if symbolic_init or (not non_deterministic): invar = And(eqinputs, Iff(miter_out, Implies(eqstates, eqoutputs))) else: invar = And(eqinputs, Iff(miter_out, eqoutputs)) Logger.log('Inferring equivalence property: {}'.format(invar), 2) else: sparser = StringParser() eqprop = sparser.parse_formulae(eqprop) if len(eqprop) > 1: Logger.error("Expecting a single equivalence property") eqprop = eqprop[0][1] invar = Iff(miter_out, eqprop) Logger.log('Using provided equivalence property: {}'.format(invar), 2) tsmo = TS() tsmo.vars = set([miter_out]) tsmo.invar = invar htseq.add_ts(tsmo) return (htseq, miter_out)
def compute(self, hts, prop): Logger.log("Building COI", 1) self._build_var_deps(hts) coi_vars = set(self._free_variables(prop)) if (len(coi_vars) < 1) or (self.var_deps == {}): return hts if hts.assumptions is not None: for assumption in hts.assumptions: for v in self._free_variables(assumption): coi_vars.add(v) if hts.lemmas is not None: for lemma in hts.lemmas: for v in self._free_variables(lemma): coi_vars.add(v) coits = TS("COI") coi_vars = list(coi_vars) i = 0 visited = set([]) while i < len(coi_vars): var = coi_vars[i] if (var in visited) or (var not in self.var_deps): i += 1 continue coi_vars = coi_vars[:i + 1] + list( self.var_deps[var]) + coi_vars[i + 1:] visited.add(var) i += 1 coi_vars = frozenset(coi_vars) trans = list( conjunctive_partition(hts.single_trans(include_ftrans=True))) invar = list( conjunctive_partition(hts.single_invar(include_ftrans=True))) init = list(conjunctive_partition(hts.single_init())) coits.trans = [ f for f in trans if self._intersect(coi_vars, self._free_variables(f)) ] coits.invar = [ f for f in invar if self._intersect(coi_vars, self._free_variables(f)) ] coits.init = [ f for f in init if self._intersect(coi_vars, self._free_variables(f)) ] Logger.log("COI statistics:", 1) Logger.log(" Vars: %s -> %s" % (len(hts.vars), len(coi_vars)), 1) Logger.log(" Init: %s -> %s" % (len(init), len(coits.init)), 1) Logger.log(" Invar: %s -> %s" % (len(invar), len(coits.invar)), 1) Logger.log(" Trans: %s -> %s" % (len(trans), len(coits.trans)), 1) coits.trans = And(coits.trans) coits.invar = And(coits.invar) coits.init = And(coits.init) coits.vars = set([]) for bf in [init, invar, trans]: for f in bf: for v in self._free_variables(f): coits.vars.add(v) coits.input_vars = set([v for v in coi_vars if v in hts.input_vars]) coits.output_vars = set([v for v in coi_vars if v in hts.output_vars]) coits.state_vars = set([v for v in coi_vars if v in hts.state_vars]) new_hts = HTS("COI") new_hts.add_ts(coits) if self.save_model: printer = HTSPrintersFactory.printer_by_name("STS") with open("/tmp/coi_model.ssts", "w") as f: f.write(printer.print_hts(new_hts, [])) return new_hts