docs: def get_sfa_conjecture(self):
          """
          Utilize the observation table to construct a Mealy Machine.
          The library used for representing the Mealy Machine is the python
          bindings of the openFST library (pyFST).
          Args:
              None
          Returns:
              MealyMachine: A mealy machine build based on a closed and consistent
          observation table.
          """
          sfa = SFA(self.alphabet)
          for s in self.observation_table.sm_vector:
              transitions = self._get_predicate_guards(
                  s, self.observation_table.training_data[s])
              for (t, pred) in transitions:
                  src_id = self.observation_table.sm_vector.index(s)
                  dst_id = self.observation_table.sm_vector.index(t)
                  assert isinstance(
                      pred, SetPredicate), "Invalid type for predicate {}".format(pred)
                  sfa.add_arc(src_id, dst_id, pred)
  
          # Mark the final states in the hypothesis automaton.
          i = 0
          for s in self.observation_table.sm_vector:
              sfa.states[i].final = self.observation_table[s, self.epsilon]
              i += 1
          return sfa