lts_algorithm.h

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// Author(s): Muck van Weerdenburg, Jan Friso Groote
// Copyright: see the accompanying file COPYING or copy at
// https://github.com/mCRL2org/mCRL2/blob/master/COPYING
//
// Distributed under the Boost Software License, Version 1.0.
// (See accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
//
 
#define BRANCH_BIS_EXPERIMENT_JFG
 
#ifndef MCRL2_LTS_LTS_ALGORITHM_H
#define MCRL2_LTS_LTS_ALGORITHM_H
 
#include "mcrl2/lts/detail/liblts_bisim.h"
#include "mcrl2/lts/detail/liblts_bisim_minimal_depth.h"
#include "mcrl2/lts/detail/liblts_bisim_gjkw.h"
#ifdef BRANCH_BIS_EXPERIMENT_JFG
#include "mcrl2/lts/detail/liblts_bisim_gj.h"
#endif
#include "mcrl2/lts/detail/liblts_branching_bisim_minimal_depth.h"
#include "mcrl2/lts/detail/liblts_weak_bisim.h"
#include "mcrl2/lts/detail/liblts_add_an_action_loop.h"
#include "mcrl2/lts/detail/liblts_ready_sim.h"
#include "mcrl2/lts/detail/liblts_failures_refinement.h"
#include "mcrl2/lts/detail/liblts_coupledsim.h"
#include "mcrl2/lts/detail/tree_set.h"
#include "mcrl2/lts/lts_equivalence.h"
#include "mcrl2/lts/lts_preorder.h"
#include "mcrl2/lts/sigref.h"
 
namespace mcrl2
{
namespace lts
{
 
template <class LTS_TYPE>
void reduce(LTS_TYPE& l, lts_equivalence eq);
 
template <class LTS_TYPE>
bool destructive_compare(LTS_TYPE& l1,
                         LTS_TYPE& l2,
                         const lts_equivalence eq,
                         const bool generate_counter_examples = false,
                         const std::string& counter_example_file = std::string(),
                         const bool structured_output = false)
{
  // Merge this LTS and l and store the result in this LTS.
  // In the resulting LTS, the initial state i of l will have the
  // state number i + N where N is the number of states in this
  // LTS (before the merge).
 
  switch (eq)
  {
    case lts_eq_none:
      return false;
    case lts_eq_bisim:
    {
      if (generate_counter_examples)
      {
        mCRL2log(mcrl2::log::warning) << "A slower partition refinement algorithm is used to generate minimal-depth counter examples.\n";
        return detail::destructive_bisimulation_compare_minimal_depth(l1, l2, counter_example_file);
      }
      return detail::destructive_bisimulation_compare_dnj(l1,l2, false,false,generate_counter_examples,counter_example_file,structured_output);
    }
    case lts_eq_bisim_gv:
    {
      return detail::destructive_bisimulation_compare(l1,l2, false,false,generate_counter_examples,counter_example_file,structured_output);
    }
    case lts_eq_bisim_gjkw:
    {
      return detail::destructive_bisimulation_compare_gjkw(l1,l2, false,false,generate_counter_examples,counter_example_file,structured_output);
    }
#ifdef BRANCH_BIS_EXPERIMENT_JFG
    case lts_eq_bisim_gj:
    {
      return detail::destructive_bisimulation_compare_gj(l1,l2, false,false,generate_counter_examples,counter_example_file,structured_output);
    }
#endif
    case lts_eq_branching_bisim:
    {
      if (generate_counter_examples)
      {
        mCRL2log(mcrl2::log::warning) << "The default branching bisimulation comparison algorithm cannot generate counter examples. A slower partition refinement algorithm (Martens/Groote 2024) is used instead.\n";
        return detail::destructive_branching_bisimulation_compare_minimal_depth(l1, l2, counter_example_file);
      }
      return detail::destructive_bisimulation_compare_dnj(l1,l2, true,false,generate_counter_examples,counter_example_file,structured_output);
    }
    case lts_eq_branching_bisim_gv:
    {
      return detail::destructive_bisimulation_compare(l1,l2, true,false,generate_counter_examples,counter_example_file,structured_output);
    }
    case lts_eq_branching_bisim_gjkw:
    {
      return detail::destructive_bisimulation_compare_gjkw(l1,l2, true,false,generate_counter_examples,counter_example_file,structured_output);
    }
#ifdef BRANCH_BIS_EXPERIMENT_JFG
    case lts_eq_branching_bisim_gj:
    {
      return detail::destructive_bisimulation_compare_gj(l1,l2, true,false,generate_counter_examples,counter_example_file,structured_output);
    }
#endif
    case lts_eq_divergence_preserving_branching_bisim:
    {
      if (generate_counter_examples)
      {
        mCRL2log(mcrl2::log::warning) << "The default divergence-preserving branching bisimulation comparison algorithm cannot generate counter examples. Therefore the slower gv algorithm is used instead.\n";
        return detail::destructive_bisimulation_compare(l1,l2, true,true,generate_counter_examples,counter_example_file,structured_output);
      }
      return detail::destructive_bisimulation_compare_dnj(l1,l2, true,true,generate_counter_examples,counter_example_file,structured_output);
    }
    case lts_eq_divergence_preserving_branching_bisim_gv:
    {
      return detail::destructive_bisimulation_compare(l1,l2, true,true,generate_counter_examples,counter_example_file,structured_output);
    }
    case lts_eq_divergence_preserving_branching_bisim_gjkw:
    {
      return detail::destructive_bisimulation_compare_gjkw(l1,l2, true,true,generate_counter_examples,counter_example_file,structured_output);
    }
#ifdef BRANCH_BIS_EXPERIMENT_JFG
    case lts_eq_divergence_preserving_branching_bisim_gj:
    {
      return detail::destructive_bisimulation_compare_gj(l1,l2, true,true,generate_counter_examples,counter_example_file,structured_output);
    }
#endif
    case lts_eq_weak_bisim:
    {
      if (generate_counter_examples)
      {
        mCRL2log(log::warning) << "Cannot generate counter examples for weak bisimulation\n";
      }
      return detail::destructive_weak_bisimulation_compare(l1,l2,false);
    }
    case lts_eq_divergence_preserving_weak_bisim:
    {
      if (generate_counter_examples)
      {
        mCRL2log(log::warning) << "Cannot generate counter examples for divergence-preserving weak bisimulation\n";
      }
      return detail::destructive_weak_bisimulation_compare(l1,l2, true);
    }
    case lts_eq_sim:
    {
      if (generate_counter_examples)
      {
        mCRL2log(log::warning) << "Cannot generate counter examples for simulation equivalence\n";
      }
      // Run the partitioning algorithm on this merged LTS
      std::size_t init_l2 = l2.initial_state() + l1.num_states();
      detail::merge(l1,l2);
      l2.clear(); // l2 is not needed anymore.
      detail::sim_partitioner<LTS_TYPE> sp(l1);
      sp.partitioning_algorithm();
 
      return sp.in_same_class(l1.initial_state(),init_l2);
    }
    case lts_eq_ready_sim:
    {
      if (generate_counter_examples)
      {
        mCRL2log(log::warning) << "Cannot generate counter examples for ready-simulation equivalence\n";
      }
      // Run the partitioning algorithm on this merged LTS
      std::size_t init_l2 = l2.initial_state() + l1.num_states();
      detail::merge(l1,l2);
      l2.clear(); // l2 is not needed anymore.
      detail::ready_sim_partitioner<LTS_TYPE> rsp(l1);
      rsp.partitioning_algorithm();
 
      return rsp.in_same_class(l1.initial_state(),init_l2);
    }
    case lts_eq_trace:
    {
      // Determinise first LTS
      detail::bisimulation_reduce_dnj(l1, false);
      determinise(l1);
 
      // Determinise second LTS
      detail::bisimulation_reduce_dnj(l2, false);
      determinise(l2);
 
      // Trace equivalence now corresponds to bisimilarity
      if (generate_counter_examples) 
      {
        return detail::destructive_bisimulation_compare_minimal_depth(l1, l2, counter_example_file);
      }
      return detail::destructive_bisimulation_compare(l1, l2, false, false, generate_counter_examples, counter_example_file, structured_output);
    }
    case lts_eq_weak_trace:
    {
      if (generate_counter_examples)
      {
        mCRL2log(log::warning) << "Cannot generate counter examples for weak trace equivalence\n";
      }
 
      // Eliminate silent steps and determinise first LTS
      detail::bisimulation_reduce_dnj(l1,true,false);
      detail::tau_star_reduce(l1);
      detail::bisimulation_reduce_dnj(l1,false);
      determinise(l1);
 
      // Eliminate silent steps and determinise second LTS
      detail::bisimulation_reduce_dnj(l2,true,false);
      detail::tau_star_reduce(l2);
      detail::bisimulation_reduce_dnj(l2,false);
      determinise(l2);
 
      // Weak trace equivalence now corresponds to bisimilarity
      return detail::destructive_bisimulation_compare(l1,l2,false,false,false,counter_example_file,structured_output);
    }
    case lts_eq_coupled_sim:
    {
      return detail::coupled_simulation_compare(l1,l2);
    }
    default:
    throw mcrl2::runtime_error("Comparison for this equivalence is not available");
    return false;
  }
}
 
template <class LTS_TYPE>
bool compare(const LTS_TYPE& l1,
             const LTS_TYPE& l2,
             const lts_equivalence eq,
             const bool generate_counter_examples = false,
             const std::string& counter_example_file = "",
             const bool structured_output = false);
 
template <class LTS_TYPE >
bool destructive_compare(LTS_TYPE& l1,
                         LTS_TYPE& l2,
                         const lts_preorder pre,
                         const bool generate_counter_example,
                         const std::string& counter_example_file = "",
                         const bool structured_output = false,
                         const lps::exploration_strategy strategy = lps::es_breadth,
                         const bool preprocess = true);
 
template <class  LTS_TYPE >
bool compare(const LTS_TYPE&  l1,
             const  LTS_TYPE& l2,
             const lts_preorder pre,
             const bool generate_counter_example,
             const std::string& counter_example_file = "",
             const bool structured_output = false,
             const lps::exploration_strategy strategy = lps::es_breadth,
             const bool preprocess = true);
 
template <class LTS_TYPE>
void determinise(LTS_TYPE& l);
 
 
template <class SL, class AL, class BASE>
bool reachability_check(lts < SL, AL, BASE>& l, bool remove_unreachable = false)
{
  // First calculate which states can be reached, and store this in the array visited.
  const outgoing_transitions_per_state_t out_trans(l.get_transitions(),l.num_states(),true);
 
  std::vector < bool > visited(l.num_states(),false);
  std::stack<std::size_t> todo;
 
  visited[l.initial_state()]=true;
  todo.push(l.initial_state());
 
  while (!todo.empty())
  {
    std::size_t state_to_consider=todo.top();
    todo.pop();
    // for (const outgoing_pair_t& p: out_trans[state_to_consider])
    for (detail::state_type i=out_trans.lowerbound(state_to_consider); i<out_trans.upperbound(state_to_consider); ++i)
    {
      const outgoing_pair_t& p=out_trans.get_transitions()[i];
      assert(visited[state_to_consider] && state_to_consider<l.num_states() && to(p)<l.num_states());
      if (!visited[to(p)])
      {
        visited[to(p)]=true;
        todo.push(to(p));
      }
    }
  }
 
  // Property: in_visited(s) == true: state s is reachable from the initial state
 
  // check to see if all states are reachable from the initial state, i.e.
  // whether all bits are set.
  bool all_reachable = find(visited.begin(),visited.end(),false)==visited.end();
 
  if (!all_reachable && remove_unreachable)
  {
    // Remove all unreachable states, transitions from such states and labels
    // that are only used in these transitions.
 
    std::vector < detail::state_type > state_map(l.num_states());
    std::vector < detail::state_type > label_map(l.num_action_labels());
 
    lts < SL, AL, BASE> new_lts=l; // In this way set data specification and action declarations in the new lts.
    new_lts.clear();
 
    std::size_t new_nstates = 0;
    for (std::size_t i=0; i<l.num_states(); i++)
    {
      if (visited[i])
      {
        state_map[i] = new_nstates;
        if (l.has_state_info())
        {
          new_lts.add_state(l.state_label(i));
        }
        else
        {
          new_lts.add_state();
        }
        new_nstates++;
      }
    }
 
    for (const transition& t: l.get_transitions())
    {
      if (visited[t.from()])
      {
        label_map[t.label()] = 1;
      }
    }
 
    label_map[0]=1; // Declare the tau action explicitly present.
    std::size_t new_nlabels = 0;
    for (std::size_t i=0; i<l.num_action_labels(); i++)
    {
      if (label_map[i]>0)   // Label i is used.
      {
        label_map[i] = new_nlabels;
        new_lts.add_action(l.action_label(i));
        new_nlabels++;
      }
    }
 
    for (const transition& t: l.get_transitions())
    {
      if (visited[t.from()])
      {
        new_lts.add_transition(transition(state_map[t.from()],label_map[t.label()],state_map[t.to()]));
      }
    }
 
    new_lts.set_initial_state(state_map.at(l.initial_state()));
    l.swap(new_lts);
  }
 
  return all_reachable;
}
 
template <class SL, class AL, class PROBABILISTIC_STATE, class BASE>
bool reachability_check(probabilistic_lts < SL, AL, PROBABILISTIC_STATE, BASE>&  l, bool remove_unreachable = false)
{
  // First calculate which states can be reached, and store this in the array visited.
  const outgoing_transitions_per_state_t out_trans(l.get_transitions(),l.num_states(),true);
 
  std::vector < bool > visited(l.num_states(),false);
  std::stack<std::size_t> todo;
 
  if (l.initial_probabilistic_state().size()>1) // Target states are in a probabilistic vector.
  {
    for(const typename PROBABILISTIC_STATE::state_probability_pair& s: l.initial_probabilistic_state())
    {
      visited[s.state()]=true;
      todo.push(s.state());
    }
  }
  else // it is a singular state;
  {
    const typename PROBABILISTIC_STATE::state_t sn=l.initial_probabilistic_state().get();
    visited[sn]=true;
    todo.push(sn);
  }
 
  while (!todo.empty())
  {
    std::size_t state_to_consider=todo.top();
    todo.pop();
    // for (const outgoing_pair_t& p: out_trans[state_to_consider])
    for (detail::state_type i=out_trans.lowerbound(state_to_consider); i<out_trans.upperbound(state_to_consider); ++i)
    {
      const outgoing_pair_t& p=out_trans.get_transitions()[i];
      assert(visited[state_to_consider] && state_to_consider<l.num_states() && to(p)<l.num_probabilistic_states());
      // Walk through the the states in this probabilistic state.
      if (l.probabilistic_state(to(p)).size()>1)  // Target states are in a probabilistic vector.
      {
        for(const typename PROBABILISTIC_STATE::state_probability_pair& pr: l.probabilistic_state(to(p)))
        {
          if (!visited[pr.state()])
          {
            visited[pr.state()]=true;
            todo.push(pr.state());
          }
        }
      }
      else // it is a singular state;
      {
        const typename PROBABILISTIC_STATE::state_t sn=l.probabilistic_state(to(p)).get();
        if (!visited[sn])
        {
          visited[sn]=true;
          todo.push(sn);
        }
      }
    }
  }
 
  // Property: in_visited(s) == true: state s is reachable from the initial state
 
  // check to see if all states are reachable from the initial state, i.e.
  // whether all bits are set.
  bool all_reachable = find(visited.begin(),visited.end(),false)==visited.end();
 
  if (!all_reachable && remove_unreachable)
  {
    // Remove all unreachable states, transitions from such states and labels
    // that are only used in these transitions.
 
    std::vector < detail::state_type > state_map(l.num_states());
    std::vector < detail::state_type > label_map(l.num_action_labels());
 
    probabilistic_lts < SL, AL, PROBABILISTIC_STATE, BASE> new_lts=l; // In this way set data specification and action declarations in the new lts.
    new_lts.clear();
 
    std::size_t new_nstates = 0;
    for (std::size_t i=0; i<l.num_states(); i++)
    {
      if (visited[i])
      {
        state_map[i] = new_nstates;
        if (l.has_state_info())
        {
          new_lts.add_state(l.state_label(i));
        }
        else
        {
          new_lts.add_state();
        }
        new_nstates++;
      }
    }
 
    for (const transition& t: l.get_transitions())
    {
      if (visited[t.from()])
      {
        label_map[t.label()] = 1;
      }
    }
 
    label_map[0]=1; // Declare the tau action explicitly present.
    std::size_t new_nlabels = 0;
    for (std::size_t i=0; i<l.num_action_labels(); i++)
    {
      if (label_map[i]>0)   // Label i is used.
      {
        label_map[i] = new_nlabels;
        new_lts.add_action(l.action_label(i));
        new_nlabels++;
      }
    }
 
    for (const transition& t: l.get_transitions())
    {
      if (visited[t.from()])
      {
        new_lts.add_transition(transition(state_map[t.from()],label_map[t.label()],t.to()));
      }
    }
 
    PROBABILISTIC_STATE new_initial_state;
    for (std::size_t i=0; i<l.num_probabilistic_states(); ++i)
    {
      new_initial_state.clear();
      if (l.probabilistic_state(i).size()==0)
      {
        new_initial_state.set(state_map[l.probabilistic_state(i).get()]);
      }
      else 
      {
        for(const typename PROBABILISTIC_STATE::state_probability_pair& s: l.probabilistic_state(i))
        {
          new_initial_state.add(state_map[s.state()], s.probability());
        }
      }
      new_lts.add_probabilistic_state(new_initial_state);
    }
    
    new_initial_state.clear();
    if (l.initial_probabilistic_state().size()==0)
    {
      new_initial_state.set(state_map[l.initial_probabilistic_state().get()]);
    }
    else 
    {
      for(const typename PROBABILISTIC_STATE::state_probability_pair& s: l.initial_probabilistic_state())
      {
        new_initial_state.add(state_map[s.state()], s.probability());
      }
    }
    new_lts.set_initial_probabilistic_state(new_initial_state);
    l.swap(new_lts);
  }
 
  return all_reachable;
}
 
template <class LTS_TYPE>
bool is_deterministic(const LTS_TYPE& l);
 
template <class LTS_TYPE>
void merge(LTS_TYPE& l1, const LTS_TYPE& l2)
{
  detail::merge(l1,l2);
}
 
 
/* Here the implementations of the declared functions above are given.
   Originally these were in a .cpp file, before lts's were templated  */
 
 
 
template <class LTS_TYPE>
void reduce(LTS_TYPE& l,lts_equivalence eq)
{
 
  switch (eq)
  {
    case lts_eq_none:
      return;
    case lts_eq_bisim:
    {
      detail::bisimulation_reduce_dnj(l,false,false);
      return;
    }
    case lts_eq_bisim_gv:
    {
      detail::bisimulation_reduce(l,false,false);
      return;
    }
    case lts_eq_bisim_gjkw:
    {
      detail::bisimulation_reduce_gjkw(l,false,false);
      return;
    }
#ifdef BRANCH_BIS_EXPERIMENT_JFG
    case lts_eq_bisim_gj:
    {
      detail::bisimulation_reduce_gj(l,false,false);
      return;
    }
#endif
    case lts_eq_bisim_sigref:
    {
      sigref<LTS_TYPE, signature_bisim<LTS_TYPE> > s(l);
      s.run();
      return;
    }
    case lts_eq_branching_bisim:
    {
      detail::bisimulation_reduce_dnj(l,true,false);
      return;
    }
    case lts_eq_branching_bisim_gv:
    {
      detail::bisimulation_reduce(l,true,false);
      return;
    }
    case lts_eq_branching_bisim_gjkw:
    {
      detail::bisimulation_reduce_gjkw(l,true,false);
      return;
    }
#ifdef BRANCH_BIS_EXPERIMENT_JFG
    case lts_eq_branching_bisim_gj:
    {
      detail::bisimulation_reduce_gj(l,true,false);
      return;
    }
#endif
    case lts_eq_branching_bisim_sigref:
    {
      sigref<LTS_TYPE, signature_branching_bisim<LTS_TYPE> > s(l);
      s.run();
      return;
    }
    case lts_eq_divergence_preserving_branching_bisim:
    {
      detail::bisimulation_reduce_dnj(l,true,true);
      return;
    }
    case lts_eq_divergence_preserving_branching_bisim_gv:
    {
      detail::bisimulation_reduce(l,true,true);
      return;
    }
    case lts_eq_divergence_preserving_branching_bisim_gjkw:
    {
      detail::bisimulation_reduce_gjkw(l,true,true);
      return;
    }
#ifdef BRANCH_BIS_EXPERIMENT_JFG
    case lts_eq_divergence_preserving_branching_bisim_gj:
    {
      detail::bisimulation_reduce_gj(l,true,true);
      return;
    }
#endif
    case lts_eq_divergence_preserving_branching_bisim_sigref:
    {
      sigref<LTS_TYPE, signature_divergence_preserving_branching_bisim<LTS_TYPE> > s(l);
      s.run();
      return;
    }
    case lts_eq_weak_bisim:
    {
      detail::weak_bisimulation_reduce(l,false);
      return;
    }
    /*
    case lts_eq_weak_bisim_sigref:
    {
     {
      sigref<LTS_TYPE, signature_branching_bisim<LTS_TYPE> > s1(l);
      s1.run();
     }
      detail::reflexive_transitive_tau_closure(l);
     {
      sigref<LTS_TYPE, signature_bisim<LTS_TYPE> > s2(l);
      s2.run();
     }
      scc_reduce(l); // Remove tau loops
      return;
    }
    */
    case lts_eq_divergence_preserving_weak_bisim:
    {
      detail::weak_bisimulation_reduce(l,true);
      return;
    }
    /*
    case lts_eq_divergence_preserving_weak_bisim_sigref:
    {
     {
      sigref<LTS_TYPE, signature_divergence_preserving_branching_bisim<LTS_TYPE> > s1(l);
      s1.run();
     }
      std::size_t divergence_label=detail::mark_explicit_divergence_transitions(l);
      detail::reflexive_transitive_tau_closure(l);
     {
      sigref<LTS_TYPE, signature_bisim<LTS_TYPE> > s2(l);
      s2.run();
     }
      scc_reduce(l); // Remove tau loops
      detail::unmark_explicit_divergence_transitions(l,divergence_label);
      return;
    }
    */
    case lts_eq_sim:
    {
      // Run the partitioning algorithm on this LTS
      detail::sim_partitioner<LTS_TYPE> sp(l);
      sp.partitioning_algorithm();
 
      // Clear this LTS, but keep the labels
      // l.clear_type();
      l.clear_state_labels();
      l.clear_transitions();
 
      // Assign the reduced LTS
      l.set_num_states(sp.num_eq_classes());
      l.set_initial_state(sp.get_eq_class(l.initial_state()));
 
      const std::vector <transition> trans=sp.get_transitions();
      l.clear_transitions();
      for (std::vector <transition>::const_iterator i=trans.begin(); i!=trans.end(); ++i)
      {
        l.add_transition(*i);
      }
      // Remove unreachable parts
 
      reachability_check(l,true);
 
      return;
    }
    case lts_eq_ready_sim:
    {
      // Run the partitioning algorithm on this LTS
      detail::ready_sim_partitioner<LTS_TYPE> rsp(l);
      rsp.partitioning_algorithm();
 
      // Clear this LTS, but keep the labels
      // l.clear_type();
      l.clear_state_labels();
      l.clear_transitions();
 
      // Assign the reduced LTS
      l.set_num_states(rsp.num_eq_classes());
      l.set_initial_state(rsp.get_eq_class(l.initial_state()));
 
      const std::vector <transition> trans=rsp.get_transitions();
      l.clear_transitions();
      for (std::vector <transition>::const_iterator i=trans.begin(); i!=trans.end(); ++i)
      {
        l.add_transition(*i);
      }
      // Remove unreachable parts
 
      reachability_check(l,true);
 
      return;
    }
    case lts_eq_trace:
      detail::bisimulation_reduce_dnj(l,false);
      determinise(l);
      detail::bisimulation_reduce_dnj(l,false);
      return;
    case lts_eq_weak_trace:
    {
      detail::bisimulation_reduce_dnj(l,true,false);
      detail::tau_star_reduce(l);
      detail::bisimulation_reduce_dnj(l,false);
      determinise(l);
      detail::bisimulation_reduce_dnj(l,false);
      return;
    }
    case lts_red_tau_star:
    {
      detail::bisimulation_reduce_dnj(l,true,false);
      detail::tau_star_reduce(l);
      detail::bisimulation_reduce_dnj(l,false);
      return;
    }
    case lts_red_determinisation:
    {
      determinise(l);
      return;
    }
    default:
      throw mcrl2::runtime_error("Unknown reduction method.");
  }
}
 
template <class LTS_TYPE>
bool compare(const LTS_TYPE& l1, const LTS_TYPE& l2, const lts_equivalence eq, const bool generate_counter_examples, const std::string& counter_example_file, const bool structured_output)
{
  switch (eq)
  {
    case lts_eq_none:
      return false;
    default:
      LTS_TYPE l1_copy(l1);
      LTS_TYPE l2_copy(l2);
      return destructive_compare(l1_copy, l2_copy, eq ,generate_counter_examples, counter_example_file, structured_output);
  }
  return false;
}
 
template <class LTS_TYPE>
bool compare(const LTS_TYPE& l1, const LTS_TYPE& l2, const lts_preorder pre, const bool generate_counter_example, const std::string& counter_example_file, const bool structured_output, const lps::exploration_strategy strategy, const bool preprocess)
{
  LTS_TYPE l1_copy(l1);
  LTS_TYPE l2_copy(l2);
  return destructive_compare(l1_copy, l2_copy, pre, generate_counter_example, counter_example_file, structured_output, strategy, preprocess);
}
 
template <class LTS_TYPE>
bool destructive_compare(LTS_TYPE& l1, LTS_TYPE& l2, const lts_preorder pre, const bool generate_counter_example, const std::string& counter_example_file, const bool structured_output, const lps::exploration_strategy strategy, const bool preprocess)
{
  switch (pre)
  {
    case lts_pre_sim:
    {
      // Merge this LTS and l and store the result in this LTS.
      // In the resulting LTS, the initial state i of l will have the
      // state number i + N where N is the number of states in this
      // LTS (before the merge).
      const std::size_t init_l2 = l2.initial_state() + l1.num_states();
      detail::merge(l1,l2);
 
      // We no longer need l, so clear it to save memory
      l2.clear();
 
      // Run the partitioning algorithm on this merged LTS
      detail::sim_partitioner<LTS_TYPE> sp(l1);
      sp.partitioning_algorithm();
 
      return sp.in_preorder(l1.initial_state(),init_l2);
    }
    case lts_pre_ready_sim:
    {
      // Merge this LTS and l and store the result in this LTS.
      // In the resulting LTS, the initial state i of l will have the
      // state number i + N where N is the number of states in this
      // LTS (before the merge).
      const std::size_t init_l2 = l2.initial_state() + l1.num_states();
      detail::merge(l1,l2);
 
      // We no longer need l, so clear it to save memory
      l2.clear();
 
      // Run the partitioning algorithm on this prepropcessed LTS
      detail::ready_sim_partitioner<LTS_TYPE> rsp(l1);
      rsp.partitioning_algorithm();
 
      return rsp.in_preorder(l1.initial_state(),init_l2);
    }
    case lts_pre_trace:
    {
      // Preprocessing: reduce modulo strong bisimulation equivalence.
      // This is not strictly necessary, but may reduce time/memory
      // needed for determinisation.
      detail::bisimulation_reduce_dnj(l1,false);
      detail::bisimulation_reduce_dnj(l2,false);
 
      // Determinise both LTSes. As postprocessing, reduce modulo
      // strong bisimulation equivalence. This is not strictly
      // necessary, but may reduce time/memory needed for simulation
      // preorder checking.
      determinise(l1);
      detail::bisimulation_reduce_dnj(l1,false);
 
      determinise(l2);
      detail::bisimulation_reduce_dnj(l2,false);
 
      // Trace preorder now corresponds to simulation preorder
      return destructive_compare(l1, l2, lts_pre_sim, generate_counter_example, counter_example_file, structured_output, strategy);
    }
    case lts_pre_weak_trace:
    {
      // Eliminate silent steps of first LTS
      detail::bisimulation_reduce_dnj(l1,true,false);
      detail::tau_star_reduce(l1);
 
      // Eliminate silent steps of second LTS
      detail::bisimulation_reduce_dnj(l2,true,false);
      detail::tau_star_reduce(l2);
 
      // Weak trace preorder now corresponds to strong trace preorder
      return destructive_compare(l1, l2, lts_pre_trace, generate_counter_example, counter_example_file, structured_output, strategy);
    }
    case lts_pre_trace_anti_chain:
    {
      if (generate_counter_example)
      {
        detail::counter_example_constructor cec("counter_example_trace_preorder", counter_example_file, structured_output);
        return destructive_refinement_checker(l1, l2, refinement_type::trace, false, strategy, preprocess, cec);
      }
      return destructive_refinement_checker(l1, l2, refinement_type::trace, false, strategy, preprocess);
    }
    case lts_pre_weak_trace_anti_chain:
    {
      if (generate_counter_example)
      {
        detail::counter_example_constructor cec("counter_example_weak_trace_preorder", counter_example_file, structured_output);
        return destructive_refinement_checker(l1, l2, refinement_type::trace, true, strategy, preprocess, cec);
      }
      return destructive_refinement_checker(l1, l2, refinement_type::trace, true, strategy, preprocess);
    }
    case lts_pre_failures_refinement:
    {
      if (generate_counter_example)
      {
        detail::counter_example_constructor cec("counter_example_failures_refinement", counter_example_file, structured_output);
        return destructive_refinement_checker(l1, l2, refinement_type::failures, false, strategy, preprocess, cec);
      }
      return destructive_refinement_checker(l1, l2, refinement_type::failures, false, strategy, preprocess);
    }
    case lts_pre_weak_failures_refinement:
    {
      if (generate_counter_example)
      {
        detail::counter_example_constructor cec("counter_example_weak_failures_refinement", counter_example_file, structured_output);
        return destructive_refinement_checker(l1, l2, refinement_type::failures, true, strategy, preprocess, cec);
      }
      return destructive_refinement_checker(l1, l2, refinement_type::failures, true, strategy, preprocess);
    }
    case lts_pre_failures_divergence_refinement:
    {
      if (generate_counter_example)
      {
        detail::counter_example_constructor cec("counter_example_failures_divergence_refinement", counter_example_file, structured_output);
        return destructive_refinement_checker(l1, l2, refinement_type::failures_divergence, true, strategy, preprocess, cec);
      }
      return destructive_refinement_checker(l1, l2, refinement_type::failures_divergence, true, strategy, preprocess);
    }
    default:
      mCRL2log(log::error) << "Comparison for this preorder is not available\n";
      return false;
  }
}
 
 
template <class LTS_TYPE>
bool is_deterministic(const LTS_TYPE& l)
{
  if (l.num_transitions() == 0)
  {
    return true;
  }
 
  std::vector<transition> temporary_copy_of_transitions = l.get_transitions();
  sort_transitions(temporary_copy_of_transitions, l.hidden_label_set(), src_lbl_tgt);
  
  // Traverse the ordered transitions, and search for two consecutive pairs <s,l,t> and <s,l,t'> with t!=t'. 
  // Such a pair exists iff l is not deterministic.
  transition& previous_t=temporary_copy_of_transitions[0];
  bool previous_t_is_valid=false;
  for(const transition& t: temporary_copy_of_transitions) 
  {
    if (previous_t_is_valid)
    {
      if (previous_t.from()==t.from() && 
          previous_t.label()==t.label() &&
          previous_t.to()!=t.to())
      {
        return false;
      }
    }
    previous_t=t;
    previous_t_is_valid=true;
  }
  return true;
}
 
 
namespace detail
{
 
template <class LTS_TYPE>
void get_trans(const outgoing_transitions_per_state_t& begin,
               tree_set_store& tss,
               std::size_t d,
               std::vector<transition>& d_trans,
               LTS_TYPE& aut)
{
  if (!tss.is_set_empty(d))
  {
    if (tss.is_set_empty(tss.get_set_child_right(d)))
    {
      // for (outgoing_transitions_per_state_t:: const_iterator
      //     j=begin.lower_bound(tss.get_set_child_left(d)); j!=begin.upper_bound(tss.get_set_child_left(d)); ++j)
      const state_type from=tss.get_set_child_left(d);
      // for(const outgoing_pair_t& p: begin[from])
      for (detail::state_type i=begin.lowerbound(from); i<begin.upperbound(from); ++i)
      {
        const outgoing_pair_t& p=begin.get_transitions()[i];
        d_trans.push_back(transition(from, aut.apply_hidden_label_map(label(p)), to(p)));
      }
    }
    else
    {
      get_trans(begin,tss,tss.get_set_child_left(d),d_trans,aut);
      get_trans(begin,tss,tss.get_set_child_right(d),d_trans,aut);
    }
  }
}
} // namespace detail
 
 
template <class LTS_TYPE>
void determinise(LTS_TYPE& l)
{
  tree_set_store tss;
 
  std::vector<transition> d_transs;
  std::vector<std::ptrdiff_t> d_states;
 
  // create the initial state of the DLTS
  d_states.push_back(l.initial_state());
  std::ptrdiff_t d_id = tss.set_set_tag(tss.create_set(d_states));
  d_states.clear();
 
  const outgoing_transitions_per_state_t begin(l.get_transitions(),l.num_states(),true);
 
  l.clear_transitions();
  l.clear_state_labels();
  std::size_t d_ntransitions = 0;
  std::vector < transition > d_transitions;
 
  std::size_t s;
  std::size_t i,to,lbl,n_t;
 
  while (d_id < tss.get_next_tag())
  {
    // collect the outgoing transitions of every state of DLTS state d_id in
    // the vector d_transs
    detail::get_trans(begin,tss,tss.get_set(d_id),d_transs,l);
 
    // sort d_transs by label and (if labels are equal) by destination
    const detail::compare_transitions_lts compare(l.hidden_label_set());
    sort(d_transs.begin(),d_transs.end(),compare);
 
    n_t = d_transs.size();
    i = 0;
    for (lbl = 0; lbl < l.num_action_labels(); ++lbl)
    {
      // compute the destination of the transition with label lbl
      while (i < n_t && l.apply_hidden_label_map(d_transs[i].label()) < lbl)
      {
        ++i;
      }
      while (i < n_t && l.apply_hidden_label_map(d_transs[i].label()) == lbl)
      {
        to = d_transs[i].to();
        d_states.push_back(to);
        while (i < n_t && l.apply_hidden_label_map(d_transs[i].label()) == lbl &&
               d_transs[i].to() == to)
        {
          ++i;
        }
      }
      s = tss.create_set(d_states);
 
      // generate the transitions to each of the next states
      if (!tss.is_set_empty(s))
      {
        d_transitions.push_back(transition(d_id,lbl,tss.set_set_tag(s)));
 
        if (d_ntransitions%10000 == 0)
        {
          mCRL2log(log::debug) <<
            "generated " << tss.get_next_tag() << " states and " << d_ntransitions
                         << " transitions; explored " << d_id << " states" << std::endl;
        }
      }
      d_states.clear();
    }
    d_transs.clear();
    ++d_id;
  }
 
 
  l.set_num_states(d_id,false); // remove the state values, and reset the number of states.
  l.set_initial_state(0);
 
  for (const transition& t: d_transitions)
  {
    l.add_transition(t);
  }
  assert(is_deterministic(l));
}
 
} // namespace lts
} // namespace mcrl2
 
#endif // MCRL2_LTS_LTS_ALGORITHM_H