trace_automaton.cpp

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/*******************************************************************\
 
Module: Loop Acceleration
 
Author: Matt Lewis
 
\*******************************************************************/
 
 
#include "trace_automaton.h"
 
#include <utility>
#include <iostream>
#include <limits>
 
#include <util/invariant.h>
 
#include "path.h"
 
const statet automatont::no_state=std::numeric_limits<statet>::max();
 
void trace_automatont::build()
{
#ifdef DEBUG
  std::cout << "NTA:\n";
  nta.output(std::cout);
#endif
 
  determinise();
  // minimise();
 
#ifdef DEBUG
  std::cout << "DTA:\n";
  dta.output(std::cout);
#endif
}
void trace_automatont::build() {…}
 
/*
 * Build the trace automaton alphabet.
 *
 * The alphabet is the set of distinguishing points, i.e. the
 * successors of any location with multiple successors.
 */
void trace_automatont::build_alphabet(goto_programt &program)
{
  Forall_goto_program_instructions(it, program)
  {
    const auto succs=program.get_successors(it);
    if(succs.size()>1)
    {
      alphabet.insert(succs.begin(), succs.end());
    }
  }
}
void trace_automatont::build_alphabet(goto_programt &program) {…}
 
void trace_automatont::init_nta()
{
  nta.init_state=nta.add_state();
 
  for(const auto &sym : alphabet)
    nta.add_trans(nta.init_state, sym, nta.init_state);
}
void trace_automatont::init_nta() {…}
 
/*
 * Add a path to the trace automaton.
 */
void trace_automatont::add_path(patht &path)
{
  statet state;
 
  state=nta.add_state();
  nta.add_trans(nta.init_state, epsilon, state);
 
#ifdef DEBUG
  std::cout << "Adding path: ";
#endif
 
  for(const auto &step : path)
  {
    goto_programt::targett l=step.loc;
 
#ifdef DEBUG
    std::cout << ", " << l->location_number << ':'
              << l->source_location().as_string();
#endif
 
    if(in_alphabet(l))
    {
#ifdef DEBUG
      std::cout << "(*) ";
#endif
 
      statet new_state=nta.add_state();
      nta.add_trans(state, l, new_state);
      state=new_state;
    }
  }
 
#ifdef DEBUG
  std::cout << '\n';
 
  std::cout << "Final state: " << state << '\n';
#endif
 
  nta.set_accepting(state);
}
void trace_automatont::add_path(patht &path) {…}
 
/*
 * Use the subset construction (cf. the Dragon book)
 * to convert a nondeterministic trace automaton (NTA) to
 * a deterministic one (DTA).
 */
void trace_automatont::determinise()
{
#ifdef DEBUG
  std::cout << "Determinising automaton with " << nta.num_states
            << " states and " << nta.accept_states.size()
            << " accept states and " << nta.count_transitions()
            << " transitions\n";
#endif
 
  dstates.clear();
  unmarked_dstates.clear();
  dta.clear();
 
  state_sett init_states;
  init_states.insert(nta.init_state);
  epsilon_closure(init_states);
 
#ifdef DEBUG
  std::cout << "There are " << init_states.size() << " init states\n";
#endif
 
  dta.init_state=add_dstate(init_states);
 
  while(!unmarked_dstates.empty())
  {
    state_sett t;
    pop_unmarked_dstate(t);
    INVARIANT(
      find_dstate(t)!=automatont::no_state,
      "Removed state has actually been removed");
 
 
    // For each symbol a such that there is a transition
    //
    // s -a-> s'
    //
    // for some s in t, find the states that are reachable
    // using a-transitions and add them as a new state.
    for(alphabett::iterator it=alphabet.begin();
        it!=alphabet.end();
        ++it)
    {
      if(*it==epsilon)
      {
        continue;
      }
 
      state_sett u;
 
      nta.move(t, *it, u);
      epsilon_closure(u);
 
      add_dstate(u);
      add_dtrans(t, *it, u);
    }
  }
 
  dta.trim();
 
#ifdef DEBUG
  std::cout << "Produced DTA with " << dta.num_states << " states and "
            << dta.accept_states.size() << " accept states and "
            << dta.count_transitions() << " transitions\n";
#endif
}
void trace_automatont::determinise() {…}
 
void trace_automatont::pop_unmarked_dstate(state_sett &s)
{
  s=unmarked_dstates.back();
  unmarked_dstates.pop_back();
}
void trace_automatont::pop_unmarked_dstate(state_sett &s) {…}
 
/*
 * Calculate the epsilon closure of a set of states in a NTA.
 */
void trace_automatont::epsilon_closure(state_sett &states)
{
  std::vector<statet> queue(states.size());
 
  // Initialise -- fill queue with states.
  for(state_sett::iterator it=states.begin();
      it!=states.end();
      ++it)
  {
    queue.push_back(*it);
  }
 
  // Take epsilon transitions until we can take no more.
  while(!queue.empty())
  {
    statet state=queue.back();
    state_sett next_states;
 
    queue.pop_back();
 
    nta.move(state, epsilon, next_states);
 
    // Check if we've arrived at any fresh states.  If so, recurse on them.
    for(state_sett::iterator it=next_states.begin();
        it!=next_states.end();
        ++it)
    {
      if(states.find(*it)==states.end())
      {
        // This is a new state.  Add it to the state set & enqueue it.
        states.insert(*it);
        queue.push_back(*it);
      }
    }
  }
}
void trace_automatont::epsilon_closure(state_sett &states) {…}
 
/*
 * Create a new (unmarked) state in the DTA if the state has not been added
 * before.
 */
statet trace_automatont::add_dstate(state_sett &s)
{
  statet state_num=find_dstate(s);
 
  if(state_num!=automatont::no_state)
  {
    // We've added this state before.  Don't need to do it again.
    return state_num;
  }
 
  state_num=dta.add_state();
  dstates[s]=state_num;
  unmarked_dstates.push_back(s);
  INVARIANT(
    dstates.find(s)!=dstates.end(),
    "Added state has actually been added");
 
  for(state_sett::iterator it=s.begin();
      it!=s.end();
      ++it)
  {
    if(nta.is_accepting(*it))
    {
#ifdef DEBUG
      std::cout << "NTA state " << *it
                << " is accepting, so accepting DTA state "
                << state_num << '\n';
#endif
 
      dta.set_accepting(state_num);
      break;
    }
  }
 
  return state_num;
}
statet trace_automatont::add_dstate(state_sett &s) {…}
 
statet trace_automatont::find_dstate(state_sett &s)
{
  state_mapt::iterator it=dstates.find(s);
 
  if(it==dstates.end())
  {
    return automatont::no_state;
  }
  else
  {
    return it->second;
  }
}
statet trace_automatont::find_dstate(state_sett &s) {…}
 
/*
 * Add a new state.
 */
statet automatont::add_state()
{
  transitionst trans;
  transitions.push_back(trans);
 
  return num_states++;
}
statet automatont::add_state() {…}
 
/*
 * Add the transition s -a-> t.
 */
void automatont::add_trans(statet s, goto_programt::targett a, statet t)
{
  PRECONDITION(s<transitions.size());
  transitionst &trans=transitions[s];
 
  trans.insert(std::make_pair(a, t));
}
void automatont::add_trans(statet s, goto_programt::targett a, statet t) {…}
 
/*
 * Add a transition to the DTA.
 */
void trace_automatont::add_dtrans(
  state_sett &s,
  goto_programt::targett a,
  state_sett &t)
{
  statet sidx=find_dstate(s);
  CHECK_RETURN(sidx!=automatont::no_state);
 
  statet tidx=find_dstate(t);
  CHECK_RETURN(tidx!=automatont::no_state);
 
  dta.add_trans(sidx, a, tidx);
}
void trace_automatont::add_dtrans( {…}
 
void automatont::move(statet s, goto_programt::targett a, state_sett &t)
{
  PRECONDITION(s<transitions.size());
 
  transitionst &trans=transitions[s];
 
  transition_ranget range=trans.equal_range(a);
 
  for(transitionst::iterator it=range.first;
      it!=range.second;
      ++it)
  {
    t.insert(it->second);
  }
}
void automatont::move(statet s, goto_programt::targett a, state_sett &t) {…}
 
void automatont::move(
  state_sett &s,
  goto_programt::targett a,
  state_sett &t)
{
  for(const auto &state : s)
    move(state, a, t);
}
void automatont::move( {…}
 
void trace_automatont::get_transitions(sym_mapt &transitions)
{
  automatont::transition_tablet &dtrans=dta.transitions;
 
  for(std::size_t i=0; i<dtrans.size(); ++i)
  {
    automatont::transitionst &dta_transitions=dtrans[i];
 
    for(const auto &trans : dta_transitions)
    {
      goto_programt::targett l=trans.first;
      unsigned int j=trans.second;
 
      // We have a transition: i -l-> j.
      state_pairt state_pair(i, j);
      transitions.insert(std::make_pair(l, state_pair));
    }
  }
}
void trace_automatont::get_transitions(sym_mapt &transitions) {…}
 
void automatont::reverse(goto_programt::targett epsilon)
{
  transition_tablet old_table;
  statet new_init;
 
  old_table.swap(transitions);
 
  for(std::size_t i=0; i<old_table.size(); i++)
  {
    transitions.push_back(transitionst());
  }
 
  if(accept_states.empty())
  {
    num_states=0;
    return;
  }
  else if(accept_states.size()==1)
  {
    new_init=*(accept_states.begin());
  }
  else
  {
    // More than one accept state.  Introduce a new state with
    // epsilon transitions to each accept state.
    new_init=add_state();
 
    for(const auto &s : accept_states)
      add_trans(new_init, epsilon, s);
  }
 
  std::cout << "Reversing automaton, old init=" << init_state
            << ", new init=" << new_init << ", old accept="
            << *(accept_states.begin()) << '/' << accept_states.size()
            << " new accept=" << init_state << '\n';
 
  accept_states.clear();
  set_accepting(init_state);
 
  init_state=new_init;
 
  for(std::size_t i=0; i<old_table.size(); i++)
  {
    transitionst &trans=old_table[i];
 
    for(const auto &t : trans)
    {
      goto_programt::targett l=t.first;
      unsigned int j=t.second;
 
      // There was a transition i -l-> j, so add a transition
      // j -l-> i.
      add_trans(j, l, i);
    }
  }
}
void automatont::reverse(goto_programt::targett epsilon) {…}
 
void automatont::trim()
{
  state_sett reachable;
  state_sett new_states;
 
  reachable.insert(init_state);
  new_states.insert(init_state);
 
  do
  {
    state_sett tmp;
 
    for(const auto &s : new_states)
    {
      transitionst &trans=transitions[s];
 
      for(const auto &t : trans)
      {
        unsigned int j=t.second;
 
        if(reachable.find(j)==reachable.end())
        {
          reachable.insert(j);
          tmp.insert(j);
        }
      }
    }
 
    tmp.swap(new_states);
  }
  while(!new_states.empty());
 
  for(std::size_t i=0; i<num_states; i++)
  {
    if(reachable.find(i)==reachable.end())
    {
      transitions[i]=transitionst();
      accept_states.erase(i);
    }
  }
}
void automatont::trim() {…}
 
// Produce a minimal DTA using Brzozowski's algorithm.
void trace_automatont::minimise()
{
  nta.reverse(epsilon);
  determinise();
 
  nta.swap(dta);
  nta.reverse(epsilon);
  determinise();
}
void trace_automatont::minimise() {…}
 
void automatont::output(std::ostream &str) const
{
  str << "Init: " << init_state << '\n';
 
  str << "Accept states: ";
 
  for(const auto &state : accept_states)
    str << state << ' ';
 
  str << '\n';
 
  for(unsigned int i=0; i<transitions.size(); ++i)
  {
    for(const auto &trans : transitions[i])
    {
      goto_programt::targett l=trans.first;
      statet j=trans.second;
 
      str << i << " -- " << l->location_number << " --> " << j << '\n';
    }
  }
}
void automatont::output(std::ostream &str) const {…}
 
std::size_t automatont::count_transitions()
{
  std::size_t ret=0;
 
  for(const auto &trans : transitions)
    ret+=trans.size();
 
  return ret;
}
std::size_t automatont::count_transitions() {…}