Beispiel #1
0
    def _find_inconsistent(self, ot: utils.ObservationTable) -> Tuple[str, str, str, str]:
        """
        Tries to find two inconsistent rows s1 and s2 in the
        observation table. s1 and s2 are elements of red.
        OT[s1] == OT[s2] and OT[s1.a][e] != OT[s2.a][e] where
        a is an element in the alphabet and e is an
        experiment (element in the set ot.exp)

        :param ot: The observation table to find two inconsistent
                   red states.
        :type ot: ObservationTable
        :return: Inconsistent row
        :rtype: Tuple[str, str, str, str]
        """
        self._logger.info('Trying to find two inconsistent rows in the table.')
        for s1 in self._red:
            for s2 in self._red:
                if s1 == s2:
                    continue
                for a in self._alphabet:
                    for e in ot.exp:
                        if ot.get_row(s1) == ot.get_row(s2) and \
                            ot.entry_exists(s1 + a, e) and ot.entry_exists(s2 + a, e) \
                                and ot.get(s1 + a, e) != ot.get(s2 + a, e):
                            self._logger.info('Found two inconsistent rows {} and {}'
                                              .format(s1, s2))
                            return s1, s2, a, e

        self._logger.info('Did not find a inconsistency in the table.')
        return '', '', '', ''
Beispiel #2
0
    def _fill_holes(self, ot: utils.ObservationTable) -> Tuple[utils.ObservationTable, bool]:
        """
        Tries to make the table complete by filling in all the entries that
        are None.

        :param ot: the updated observation table
        :return: updated ObservationTable and whether the method was successful.
        :rtype: tuple(ObservationTable, bool)
        """
        self._logger.info('Try to make table complete by filling in * entries.')
        for p in self._blue:
            r = ot.find_compatible_row(p)
            if r is not None:
                for e in ot.exp:
                    if ot.entry_exists(p, e) and ot.get(p, e) is not None:
                        ot.put(r, e, ot.get(p, e))
            else:
                return ot, True

        for r in self._red:
            for e in ot.exp:
                if ot.entry_exists(r, e) and ot.get(r, e) is None:
                    ot.put(r, e, 1)

        for p in self._blue:
            r = ot.find_compatible_row(p)
            if r is not None:
                for e in ot.exp:
                    if ot.entry_exists(p, e) and ot.get(p, e) is None:
                        if ot.entry_exists(r, e):
                            ot.put(p, e, ot.get(r, e))
            else:
                return ot, True

        return ot, False
Beispiel #3
0
    def _find_inconsistent(
            self, ot: utils.ObservationTable) -> Tuple[str, str, str, str]:
        """
        Tries to find two inconsistent rows s1 and s2 in the
        observation table. s1 and s2 are elements of red.
        OT[s1] == OT[s2] and OT[s1.a][e] != OT[s2.a][e] where
        a is an element in the alphabet and e is an
        experiment (element in the set ot.exp)

        :param ot: The observation table to find two inconsistent
                   red states.
        :type ot: ObservationTable
        :return: Inconsistent row
        :rtype: Tuple[str, str, str, str]
        """
        for s1 in sorted(self._red):
            for s2 in sorted(self._red):
                if s1 == s2:
                    continue
                for a in sorted(self._alphabet):
                    for e in sorted(ot.exp):
                        if ot.get_row(s1) == ot.get_row(s2) and \
                            ot.entry_exists(s1 + a, e) and ot.entry_exists(s2 + a, e) \
                                and ot.get(s1 + a, e) != ot.get(s2 + a, e):
                            return s1, s2, a, e
        return '', '', '', ''
Beispiel #4
0
    def _build_automaton(self, ot: utils.ObservationTable) -> automaton.DFA:
        """
        Builds an automaton from the observation table.

        :param ot: The data to build the dfa from.
        :type ot: ObservationTable
        :return: The dfa built from the observation table.
        :rtype: DFA
        """
        self._logger.info('Building DFA from the table.')
        dfa = automaton.DFA(self._alphabet)

        for u in self._red:
            for v in ot.ot.keys():
                if u == v:
                    continue

                if len(v) < len(u) and ot.get_row(v) != ot.get_row(u):
                    dfa.states.add(automaton.State(u))

        for u in dfa.states:
            if ot.entry_exists(u.name, ''):
                if ot.get(u.name, '') == 1:
                    dfa.accept_states.add(u)
                elif ot.get(u.name, '') == 0:
                    dfa.reject_states.add(u)

            for a in self._alphabet:
                for w in dfa.states:
                    if ot.get_row(u.name + a) == ot.get_row(w.name):
                        dfa.add_transition(u, w, a)

        return dfa.rename_states()
Beispiel #5
0
    def _build_automaton(self, ot: utils.ObservationTable) -> automaton.DFA:
        """
        Builds an automaton from the observation table.

        :type ot: ObservationTable
        :return: Automaton built from the observation table
        :rtype: Automaton
        """
        dfa = automaton.DFA(self._alphabet)

        states = {automaton.State(i) for i in self._red}

        we = utils.break_strings_in_two(self._red)
        for w, e in we:
            we = w + e
            if we in self._red and ot.entry_exists(w, e):
                val = ot.get(w, e)
                state = automaton.State(we)
                if val == 1:
                    dfa.accept_states.add(state)
                    states.add(state)
                elif val == 0:
                    dfa.reject_states.add(state)
                    states.add(state)

        for w in states:
            for a in self._alphabet:
                for u in self._red:
                    wa = w.name + a
                    if ot.row_exists(u) and ot.row_exists(wa) and \
                            ot.get_row(u) == ot.get_row(wa):
                        dfa.add_transition(w, automaton.State(u), a)

        return dfa