Create the direct simulation.

* src/tgbaalgos/simulation.cc, src/tgbaalgos/simulation.hh: New files.
* src/tgbaalgos/Makefile.am: Add the new files to the compilation.
* src/tgbatest/spotlbtt.test: Add the simulation.
* src/tgbatest/ltl2tgba.cc: Add direct simulation (-RSD).
This commit is contained in:
Thomas Badie 2012-03-05 16:55:08 +01:00
parent e75ad57446
commit 876f8c90a2
5 changed files with 773 additions and 1 deletions

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@ -57,6 +57,7 @@ tgbaalgos_HEADERS = \
scc.hh \
sccfilter.hh \
se05.hh \
simulation.hh \
stats.hh \
tau03.hh \
tau03opt.hh \
@ -93,6 +94,7 @@ libtgbaalgos_la_SOURCES = \
scc.cc \
sccfilter.cc \
se05.cc \
simulation.cc \
stats.cc \
tau03.cc \
tau03opt.cc \

646
src/tgbaalgos/simulation.cc Normal file
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@ -0,0 +1,646 @@
// -*- coding: utf-8 -*-
// Copyright (C) 2012 Laboratoire de Recherche et
// Développement de l'Epita (LRDE).
//
// This file is part of Spot, a model checking library.
//
// Spot is free software; you can redistribute it and/or modify it
// under the terms of the GNU General Public License as published by
// the Free Software Foundation; either version 2 of the License, or
// (at your option) any later version.
//
// Spot is distributed in the hope that it will be useful, but WITHOUT
// ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
// or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public
// License for more details.
//
// You should have received a copy of the GNU General Public License
// along with Spot; see the file COPYING. If not, write to the Free
// Software Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA
// 02111-1307, USA.
#include <queue>
#include <map>
#include <utility>
#include "tgba/tgbaexplicit.hh"
#include "simulation.hh"
#include "misc/acccompl.hh"
#include "misc/minato.hh"
#include "tgba/bddprint.hh"
#include "tgbaalgos/reachiter.hh"
// The way we developed this algorithm is the following: We take an
// automaton, and reverse all these acceptance conditions. We reverse
// them to go make the meaning of the signature easier. We are using
// bdd, and we want to let it make all the simplification. Because of
// the format of the acceptance condition, it doesn't allow easy
// simplification. Instead of encoding them as: "a!b!c + !ab!c", we
// use them as: "ab". We complement them because we want a
// simplification if the condition of the transition A implies the
// transition of B, and if the acceptance condition of A is included
// in the acceptance condition of B. To let the bdd makes the job, we
// revert them.
// Then, to check if a transition i-dominates another, we'll use the bdd:
// "sig(transA) = cond(trans) & acc(trans) & implied(class(trans->state))"
// Idem for sig(transB). The 'implied'
// (represented by a hash table 'relation_' in the implementation) is
// a conjunction of all the class dominated by the class of the
// destination. This is how the relation is included in the
// signature. It makes the simplifications alone, and the work is
// done. The algorithm is cut into several step:
//
// 1. Run through the tgba and switch the acceptance condition to their
// negation, and initializing relation_ by the 'init_ -> init_' where
// init_ is the bdd which represents the class. This function is the
// constructor of Simulation.
// 2. Enter in the loop (run).
// - Rename the class.
// - run through the automaton and computing the signature of each
// state. This function is `update_sig'.
// - Enter in a double loop to adapt the partial order, and set
// 'relation_' accordingly. This function is `update_po'.
// 3. Rename the class (to actualize the name in the previous_it_class and
// in relation_).
// 4. Building an automaton with the result, with the condition:
// "a transition in the original automaton appears in the simulated one
// iff this transition is included in the set of i-maximal neighbour."
// This function is `build_output'.
// The automaton simulated is recomplemented to come back to its initial
// state when the object Simulation is destroyed.
//
// Obviously these functions are possibly cut into several little one.
// This is just the general development idea.
// How to use isop:
// I need all variable non_acceptance & non_class.
// bdd_support(sig(X)): All var
// bdd_support(sig(X)) - allacc - allclassvar
namespace spot
{
namespace
{
// Some useful typedef:
// Used to get the signature of the state.
typedef Sgi::hash_map<const state*, bdd,
state_ptr_hash,
state_ptr_equal> map_state_bdd;
typedef Sgi::hash_map<const state*, unsigned,
state_ptr_hash,
state_ptr_equal> map_state_unsigned;
// Get the list of state for each class.
typedef std::map<bdd, std::list<const state*>,
bdd_less_than> map_bdd_lstate;
// This class takes an automaton and creates a copy with all
// acceptance conditions complemented.
class AccComplAutomaton:
public tgba_reachable_iterator_depth_first
{
public:
AccComplAutomaton(const tgba* a)
: tgba_reachable_iterator_depth_first(a),
size(0),
out_(new tgba_explicit_number(a->get_dict())),
ea_(a),
ac_(ea_->all_acceptance_conditions(),
ea_->neg_acceptance_conditions()),
current_max(0)
{
init_ = ea_->get_init_state();
out_->set_init_state(get_state(init_));
}
inline unsigned
get_state(const state* s)
{
if (state2int.find(s) == state2int.end())
{
state2int[s] = ++current_max;
previous_it_class_[out_->add_state(current_max)] = bddfalse;
}
return state2int[s];
}
void process_link(const state* in_s,
int in,
const state* out_s,
int out,
const tgba_succ_iterator* si)
{
(void) in;
(void) out;
int src = get_state(in_s);
int dst = get_state(out_s);
bdd acc = ac_.complement(si->current_acceptance_conditions());
tgba_explicit_number::transition* t
= out_->create_transition(src, dst);
out_->add_acceptance_conditions(t, acc);
out_->add_conditions(t, si->current_condition());
}
void process_state(const state*, int, tgba_succ_iterator*)
{
++size;
}
~AccComplAutomaton()
{
init_->destroy();
}
public:
size_t size;
tgba_explicit_number* out_;
map_state_bdd previous_it_class_;
private:
const tgba* ea_;
AccCompl ac_;
map_state_unsigned state2int;
unsigned current_max;
state* init_;
};
class Simulation
{
// Shortcut used in update_po and go_to_next_it.
typedef std::map<bdd, bdd, bdd_less_than> map_bdd_bdd;
public:
Simulation(const tgba* t)
: a_(0),
po_size_(0),
all_class_var_(bddtrue)
{
AccComplAutomaton
acc_compl(t);
// We'll start our work by replacing all the acceptance
// conditions by their complement.
acc_compl.run();
a_ = acc_compl.out_;
// We use the previous run to know the size of the
// automaton, and to class all the reachable states in the
// map previous_it_class_.
size_a_ = acc_compl.size;
// Now, we have to get the bdd which will represent the
// class. We register one bdd by state, because in the worst
// case, |Class| == |State|.
unsigned set_num = a_->get_dict()
->register_anonymous_variables(size_a_, a_);
bdd init = bdd_ithvar(set_num);
// Because we have already take the first element which is init.
++set_num;
used_var_.push_back(init);
all_class_var_ = init;
// We fetch the result the run of AccComplAutomaton which
// has recorded all the state in a hash table, and we set all
// to init.
for (map_state_bdd::iterator it
= acc_compl.previous_it_class_.begin();
it != acc_compl.previous_it_class_.end();
++it)
{
previous_it_class_[it->first] = init;
}
// Put all the anonymous variable in a queue, and record all
// of these in a variable all_class_var_ which will be used
// to understand the destination part in the signature when
// building the resulting automaton.
for (unsigned i = set_num; i < set_num + size_a_ - 1; ++i)
{
free_var_.push(i);
all_class_var_ &= bdd_ithvar(i);
}
relation_[init] = init;
}
// Reverse all the acceptance condition at the destruction of
// this object, because it occurs after the return of the
// function simulation.
~Simulation()
{
delete a_;
}
// We update the name of the class.
void update_previous_it_class()
{
std::list<bdd>::iterator it_bdd = used_var_.begin();
// We run through the map bdd/list<state>, and we update
// the previous_it_class_ with the new data.
it_bdd = used_var_.begin();
for (map_bdd_lstate::iterator it = bdd_lstate_.begin();
it != bdd_lstate_.end();
++it)
{
for (std::list<const state*>::iterator it_s = it->second.begin();
it_s != it->second.end();
++it_s)
{
// If the signature of a state is bddfalse (which is
// roughly equivalent to no transition) the class of
// this state is bddfalse instead of an anonymous
// variable. It allows simplifications in the signature
// by removing a transition which has as a destination a
// state with no outgoing transition.
if (it->first == bddfalse)
previous_it_class_[*it_s] = bddfalse;
else
previous_it_class_[*it_s] = *it_bdd;
}
++it_bdd;
}
}
// The core loop of the algorithm.
tgba* run()
{
unsigned int nb_partition_before = 0;
unsigned int nb_po_before = po_size_ - 1;
while (nb_partition_before != bdd_lstate_.size()
|| nb_po_before != po_size_)
{
update_previous_it_class();
nb_partition_before = bdd_lstate_.size();
bdd_lstate_.clear();
nb_po_before = po_size_;
po_size_ = 0;
update_sig();
go_to_next_it();
}
update_previous_it_class();
return build_result();
}
// Take a state and compute its signature.
bdd compute_sig(const state* src)
{
tgba_succ_iterator* sit = a_->succ_iter(src);
bdd res = bddfalse;
for (sit->first(); !sit->done(); sit->next())
{
const state* dst = sit->current_state();
bdd acc = sit->current_acceptance_conditions();
// to_add is a conjunction of the acceptance condition,
// the label of the transition and the class of the
// destination and all the class it implies.
bdd to_add = acc & sit->current_condition()
& relation_[previous_it_class_[dst]];
res |= to_add;
dst->destroy();
}
delete sit;
return res;
}
void update_sig()
{
// At this time, current_class_ must be empty. It implies
// that the "previous_it_class_ = current_class_" must be
// done before.
assert(current_class_.empty());
// Here we suppose that previous_it_class_ always contains
// all the reachable states of this automaton. We do not
// have to make (again) a traversal. We just have to run
// through this map.
for (map_state_bdd::iterator it = previous_it_class_.begin();
it != previous_it_class_.end();
++it)
{
const state* src = it->first;
bdd_lstate_[compute_sig(src)].push_back(src);
}
}
// This method rename the color set, update the partial order.
void go_to_next_it()
{
int nb_new_color = bdd_lstate_.size() - used_var_.size();
for (int i = 0; i < nb_new_color; ++i)
{
assert(!free_var_.empty());
used_var_.push_back(bdd_ithvar(free_var_.front()));
free_var_.pop();
}
assert(bdd_lstate_.size() == used_var_.size());
// Now we make a temporary hash_table which links the tuple
// "C^(i-1), N^(i-1)" to the new class coloring. If we
// rename the class before updating the partial order, we
// loose the information, and if we make it after, I can't
// figure out how to apply this renaming on rel_.
// It adds a data structure but it solves our problem.
map_bdd_bdd now_to_next;
std::list<bdd>::iterator it_bdd = used_var_.begin();
for (map_bdd_lstate::iterator it = bdd_lstate_.begin();
it != bdd_lstate_.end();
++it)
{
// If the signature of a state is bddfalse (which is
// roughly equivalent to no transition) the class of
// this state is bddfalse instead of an anonymous
// variable. It allows simplifications in the signature
// by removing a transition which has as a destination a
// state with no outgoing transition.
if (it->first == bddfalse)
now_to_next[it->first] = bddfalse;
else
now_to_next[it->first] = *it_bdd;
++it_bdd;
}
update_po(now_to_next);
}
// This function computes the new po with previous_it_class_
// and the argument. `now_to_next' contains the relation
// between the signature and the future name of the class.
void update_po(const map_bdd_bdd& now_to_next)
{
// This loop follows the pattern given by the paper.
// foreach class do
// | foreach class do
// | | update po if needed
// | od
// od
for (map_bdd_bdd::const_iterator it1 = now_to_next.begin();
it1 != now_to_next.end();
++it1)
{
bdd accu = it1->second;
for (map_bdd_bdd::const_iterator it2 = now_to_next.begin();
it2 != now_to_next.end();
++it2)
{
// Skip the case managed by the initialization of accu.
if (it1 == it2)
continue;
// We detect that "a&b -> a" by testing "a&b = a".
if ((it1->first & it2->first) == (it1->first))
{
accu &= it2->second;
++po_size_;
}
}
relation_[it1->second] = accu;
}
}
// Build the minimal resulting automaton.
tgba* build_result()
{
// Now we need to create a state per partition. But the
// problem is that we don't know exactly the class. We know
// that it is a combination of the acceptance condition
// contained in all_class_var_. So we need to make a little
// workaround. We will create a map which will associate bdd
// and unsigned.
std::map<bdd, unsigned, bdd_less_than> bdd2state;
unsigned int current_max = 0;
bdd all_acceptance_conditions
= a_->all_acceptance_conditions();
// We have all the a_'s acceptances conditions
// complemented. So we need to complement it when adding a
// transition. We *must* keep the complemented because it
// is easy to know if an acceptance condition is maximal or
// not.
AccCompl reverser(all_acceptance_conditions,
a_->neg_acceptance_conditions());
typedef tgba_explicit_number::transition trs;
tgba_explicit_number* res
= new tgba_explicit_number(a_->get_dict());
res->set_acceptance_conditions
(all_acceptance_conditions);
bdd sup_all_acc = bdd_support(all_acceptance_conditions);
// Non atomic propositions variables (= acc and class)
bdd nonapvars = sup_all_acc & bdd_support(all_class_var_);
// Create one state per partition.
for (map_bdd_lstate::iterator it = bdd_lstate_.begin();
it != bdd_lstate_.end(); ++it)
{
res->add_state(++current_max);
bdd part = previous_it_class_[*it->second.begin()];
// The difference between the two next lines is:
// the first says "if you see A", the second "if you
// see A and all the class implied by it".
bdd2state[part] = current_max;
bdd2state[relation_[part]] = current_max;
}
// For each partition, we will create
// all the transitions between the states.
for (map_bdd_lstate::iterator it = bdd_lstate_.begin();
it != bdd_lstate_.end();
++it)
{
// Get the signature.
bdd sig = compute_sig(*(it->second.begin()));
// Get all the variable in the signature.
bdd sup_sig = bdd_support(sig);
// Get the variable in the signature which represents the
// conditions.
bdd sup_all_atomic_prop = bdd_exist(sup_sig, nonapvars);
// Get the part of the signature composed only with the atomic
// proposition.
bdd all_atomic_prop = bdd_exist(sig, nonapvars);
// First loop over all possible valuations atomic properties.
while (all_atomic_prop != bddfalse)
{
bdd one = bdd_satoneset(all_atomic_prop,
sup_all_atomic_prop,
bddtrue);
all_atomic_prop -= one;
// For each possible valuation, iterator over all possible
// destination classes. We use minato_isop here, because
// if the same valuation of atomic properties can go
// to two different classes C1 and C2, iterating on
// C1 + C2 with the above bdd_satoneset loop will see
// C1 then (!C1)C2, instead of C1 then C2.
// With minatop_isop, we ensure that the no negative
// class variable will be seen (likewise for promises).
minato_isop isop(sig & one);
bdd cond_acc_dest;
while ((cond_acc_dest = isop.next()) != bddfalse)
{
// Take the transition, and keep only the variable which
// are used to represent the class.
bdd dest = bdd_existcomp(cond_acc_dest,
all_class_var_);
// Keep only ones who are acceptance condition.
bdd acc = bdd_existcomp(cond_acc_dest, sup_all_acc);
// Keep the other !
bdd cond = bdd_existcomp(cond_acc_dest, sup_all_atomic_prop);
// Because we have complemented all the acceptance condition
// on the input automaton, we must re invert them to create
// a new transition.
acc = reverser.reverse_complement(acc);
// Take the id of the source and destination.
// To know the source, we must take a random state in the
// list which is in the class we currently work on.
int src = bdd2state[previous_it_class_[*it->second.begin()]];
int dst = bdd2state[dest];
// src or dst == 0 means "dest" or "prev..." isn't in the map.
// so it is a bug.
assert(src != 0);
assert(dst != 0);
// Create the transition, add the condition and the
// acceptance condition.
tgba_explicit_number::transition* t
= res->create_transition(src , dst);
res->add_conditions(t, cond);
res->add_acceptance_conditions(t, acc);
}
}
}
res->set_init_state(bdd2state[previous_it_class_
[a_->get_init_state()]]);
res->merge_transitions();
return res;
}
// Debug:
// In a first time, print the signature, and the print a list
// of each state in this partition.
// In a second time, print foreach state, who is where,
// where is the new class name.
void print_partition()
{
for (map_bdd_lstate::iterator it = bdd_lstate_.begin();
it != bdd_lstate_.end();
++it)
{
std::cerr << "partition: "
<< bdd_format_set(a_->get_dict(), it->first) << std::endl;
for (std::list<const state*>::iterator it_s = it->second.begin();
it_s != it->second.end();
++it_s)
{
std::cerr << " - "
<< a_->format_state(*it_s) << std::endl;
}
}
std::cerr << "\nPrevious iteration\n" << std::endl;
for (map_state_bdd::const_iterator it = previous_it_class_.begin();
it != previous_it_class_.end();
++it)
{
std::cerr << a_->format_state(it->first)
<< " was in "
<< bdd_format_set(a_->get_dict(), it->second)
<< std::endl;
}
}
private:
// The automaton which is simulated.
tgba_explicit_number* a_;
// Relation is aimed to represent the same thing than
// rel_. The difference is in the way it does.
// If A => A /\ A => B, rel will be (!A U B), but relation_
// will have A /\ B at the key A. This trick is due to a problem
// with the computation of the resulting automaton with the signature.
// rel_ will pollute the meaning of the signature.
map_bdd_bdd relation_;
// Represent the class of each state at the previous iteration.
map_state_bdd previous_it_class_;
// The class at the current iteration.
map_state_bdd current_class_;
// The list of state for each class at the current_iteration.
// Computed in `update_sig'.
map_bdd_lstate bdd_lstate_;
// The queue of free bdd. They will be used as the identifier
// for the class.
std::queue<int> free_var_;
// The list of used bdd. They are in used as identifier for class.
std::list<bdd> used_var_;
// Size of the automaton.
unsigned int size_a_;
// Used to know when there is no evolution in the po. Updated
// in the `update_po' method.
unsigned int po_size_;
// All the class variable:
bdd all_class_var_;
};
} // End namespace anonymous.
tgba*
simulation(const tgba* t)
{
Simulation simul(t);
return simul.run();
}
} // End namespace spot.

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@ -0,0 +1,67 @@
// -*- coding: utf-8 -*-
// Copyright (C) 2012 Laboratoire de Recherche et Développement
// de l'Epita (LRDE).
//
// This file is part of Spot, a model checking library.
//
// Spot is free software; you can redistribute it and/or modify it
// under the terms of the GNU General Public License as published by
// the Free Software Foundation; either version 2 of the License, or
// (at your option) any later version.
//
// Spot is distributed in the hope that it will be useful, but WITHOUT
// ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
// or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public
// License for more details.
//
// You should have received a copy of the GNU General Public License
// along with Spot; see the file COPYING. If not, write to the Free
// Software Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA
// 02111-1307, USA.
#ifndef SPOT_TGBAALGOS_SIMULATION_HH
# define SPOT_TGBAALGOS_SIMULATION_HH
namespace spot
{
class tgba;
/// \addtogroup tgba_reduction
/// @{
/// \brief Tries to reduce the automaton by merging states whose
/// recognizes similar language.
///
/// When the language recognized by one state is included in the
/// language recognized by an another one, the first one is merged
/// with the second. The algorithm is based on the following
/// paper:
///
/// \verbatim
/// @InProceedings{ etessami.00.concur,
/// author = {Kousha Etessami and Gerard J. Holzmann},
/// title = {Optimizing {B\"u}chi Automata},
/// booktitle = {Proceedings of the 11th International Conference on
/// Concurrency Theory (Concur'00)},
/// pages = {153--167},
/// year = {2000},
/// editor = {C. Palamidessi},
/// volume = {1877},
/// series = {Lecture Notes in Computer Science},
/// address = {Pennsylvania, USA},
/// publisher = {Springer-Verlag}
/// }
/// \endverbatim
///
/// \param automaton The automaton to simulate.
/// \return a new automaton which is at worst a copy of the received
/// one.
tgba* simulation(const tgba* automaton);
/// @}
} // End namespace spot.
#endif // !SPOT_TGBAALGOS_SIMULATION_HH

View file

@ -63,6 +63,7 @@
#include "tgbaalgos/emptiness_stats.hh"
#include "tgbaalgos/scc.hh"
#include "kripkeparse/public.hh"
#include "tgbaalgos/simulation.hh"
std::string
ltl_defs()
@ -339,6 +340,9 @@ main(int argc, char** argv)
spot::timer_map tm;
bool use_timer = false;
bool assume_sba = false;
bool reduction_dir_sim = false;
spot::tgba* temp_dir_sim = 0;
for (;;)
{
@ -621,6 +625,10 @@ main(int argc, char** argv)
{
reduc_aut |= spot::Reduce_quotient_Dir_Sim;
}
else if (!strcmp(argv[formula_index], "-RSD"))
{
reduction_dir_sim = true;
}
else if (!strcmp(argv[formula_index], "-R1t"))
{
reduc_aut |= spot::Reduce_transition_Dir_Sim;
@ -958,10 +966,22 @@ main(int argc, char** argv)
else
{
a = minimized;
// When the minimization succeed, simulation is useless.
reduction_dir_sim = false;
assume_sba = true;
}
}
if (reduction_dir_sim)
{
tm.start("Reduction w/ direct simulation");
temp_dir_sim = spot::simulation(a);
a = temp_dir_sim;
tm.stop("Reduction w/ direct simulation");
}
unsigned int n_acc = a->number_of_acceptance_conditions();
if (echeck_inst
&& degeneralize_opt == NoDegen
@ -999,6 +1019,8 @@ main(int argc, char** argv)
// pointless.
}
spot::tgba_reduc* aut_red = 0;
if (reduc_aut != spot::Reduce_None)
{
@ -1379,6 +1401,7 @@ main(int argc, char** argv)
delete state_labeled;
delete to_free;
delete echeck_inst;
delete temp_dir_sim;
}
else
{

View file

@ -154,7 +154,7 @@ Algorithm
{
Name = "Spot (Couvreur -- FM), post reduction with direct simulation"
Path = "${LBTT_TRANSLATE}"
Parameters = "--spot '../ltl2tgba -R1q -R1t -F -f -t'"
Parameters = "--spot '../ltl2tgba -R1q -R1t -R3 -r4 -F -f -t'"
Enabled = yes
}
@ -222,6 +222,40 @@ Algorithm
Enabled = yes
}
Algorithm
{
Name = "Spot (Couvreur -- FM), simulated"
Path = "${LBTT_TRANSLATE}"
Parameters = "--spot '../ltl2tgba -F -f -t -RSD -r4 -R3'"
Enabled = yes
}
Algorithm
{
Name = "Spot (Couvreur -- LaCim), simulated"
Path = "${LBTT_TRANSLATE}"
Parameters = "--spot '../ltl2tgba -F -f -l -t -RSD -r4 -R3'"
Enabled = yes
}
Algorithm
{
Name = "Spot (Couvreur -- TAA), simulated"
Path = "${LBTT_TRANSLATE}"
Parameters = "--spot '../ltl2tgba -F -f -l -taa -t -RSD -r4 -R3'"
Enabled = yes
}
Algorithm
{
Name = "Spot (Couvreur -- FM), simulated and degeneralized on states."
Path = "${LBTT_TRANSLATE}"
Parameters = "--spot '../ltl2tgba -F -f -t -RSD -DS'"
Enabled = yes
}
Algorithm
{
Name = "Spot (Couvreur -- FM), degeneralized on states"