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Current version before integration ...

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This commit is contained in:
Andreas Froehlich 2014-04-20 16:38:49 +01:00 • committed by Christoph M. Wintersteiger
parent f88b034b8b
commit 42702c8d8a
7 changed files with 1068 additions and 287 deletions
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40
src/tactic/sls/sls_compilation_settings.h
View file

@ -36,17 +36,21 @@ Notes:
// do we use dirty unit propagation to get rid of nested top level assertions?
#define _DIRTY_UP_ 0
// shall we use additive weighting scheme?
#define _PAWS_ 5
#define _PAWS_INIT_ 40
// do we use restarts?
// 0 = no, 1 = use #moves, 2 = use #plateaus, 3 = use time
#define _RESTARTS_ 3
#define _RESTARTS_ 1
// limit of moves/plateaus/seconds until first restart occurs
#define _RESTART_LIMIT_ 10
#define _RESTART_LIMIT_ 100
// 0 = initialize with all zero, 1 initialize with random value
#define _RESTART_INIT_ 0
// 0 = even intervals, 1 = pseudo luby, 2 = real luby, 3 = armin, 4 = rapid
// 0 = even intervals, 1 = pseudo luby, 2 = real luby, 3 = armin, 4 = rapid, 5 = minisat
#define _RESTART_SCHEME_ 1
// base value c for armin restart scheme using c^inner - only applies for _RESTART_SCHEME_ 3
#define _RESTART_CONST_ARMIN_ 3.0
#define _RESTART_CONST_ARMIN_ 2.0
// timelimit
#define _TIMELIMIT_ 3600
@ -61,6 +65,21 @@ Notes:
// 0 = no, 1 = only consider flipping bits if no better score can be obtained otherwise, 2 = only consider flipping bits until a better score can be obtained
#define _VNS_ 0
// shall we check 2-bit flips in plateaus using Monte Carlo?
#define _VNS_MC_ 0
// how many 2-bit flips shall we try per bit?
#define _VNS_MC_TRIES_ 1
// shall we check another assertion if no improving step was found in the first one?
#define _VNS_REPICK_ 0
// what is the probability of doing so (percentage)?
#define _VNS_PERC_ 100
// do a decreasing move with percentage ...
#define _INSIST_PERC_ 0
// do we reduce the score of unsatisfied literals?
// 0 = no
// 1 = yes, by multiplying it with some factor
@ -70,7 +89,7 @@ Notes:
#define _WEIGHT_DIST_ 1
// the factor used for _WEIGHT_DIST_ = 1
#define _WEIGHT_DIST_FACTOR_ 0.25
#define _WEIGHT_DIST_FACTOR_ 0.5
// shall we toggle the weight after each restart?
#define _WEIGHT_TOGGLE_ 0
@ -82,14 +101,15 @@ Notes:
// what is the percentage of random moves in plateaus (instead of full randomization)?
#define _PERC_PLATEAU_MOVES_ 0
// shall we repick clause when randomizing in a plateau or use the current one?
// shall we repick assertion when randomizing in a plateau or use the current one?
// 0 = use old one, 1 = repick according to usual scheme, 2 = repick randomly and force different one
#define _REPICK_ 1
// do we use some UCT-like scheme for assertion-selection? overrides _BFS_
#define _UCT_ 1
// how much diversification is used in the UCT-scheme?
#define _UCT_CONSTANT_ 10.0
#define _UCT_CONSTANT_ 20.0
// is uct clause selection probabilistic similar to variable selection in sparrow?
// 0 = no, 1 = yes, use uct-value, 2 = yes, use score-value (_UCT_CONSTANT_ = 0.0) with squared score
@ -103,7 +123,11 @@ Notes:
// how shall we initialize the _UCT_ total touched counter?
// 0 = initialize with one, 1 = initialize with number of assertions
#define _UCT_INIT_ 1
#define _UCT_INIT_ 0
// do we gradually reduce the touched values of _UCT_?
#define _UCT_FORGET_ 0
#define _UCT_FORGET_FACTOR_ 0.9
// shall we use addition/subtraction?
#define _USE_ADDSUB_ 1

586
src/tactic/sls/sls_engine.cpp
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File diff suppressed because it is too large Load diff

73
src/tactic/sls/sls_engine.h
View file

@ -22,7 +22,6 @@ Notes:
#include"stopwatch.h"
#include"lbool.h"
#include"model_converter.h"
#include"goal.h"
#include"sls_compilation_settings.h"
#include"sls_tracker.h"
@ -72,7 +71,6 @@ protected:
bv_util m_bv_util;
sls_tracker m_tracker;
sls_evaluator m_evaluator;
ptr_vector<expr> m_assertions;
unsigned m_restart_limit;
unsigned m_max_restarts;
@ -94,12 +92,11 @@ public:
void updt_params(params_ref const & _p);
void assert_expr(expr * e) { m_assertions.push_back(e); }
stats const & get_stats(void) { return m_stats; }
void reset_statistics(void) { m_stats.reset(); }
bool full_eval(model & mdl);
bool full_eval(goal_ref const & g, model & mdl);
void mk_add(unsigned bv_sz, const mpz & old_value, mpz & add_value, mpz & result);
void mk_mul2(unsigned bv_sz, const mpz & old_value, mpz & result);
@ -107,48 +104,66 @@ public:
void mk_inc(unsigned bv_sz, const mpz & old_value, mpz & incremented);
void mk_dec(unsigned bv_sz, const mpz & old_value, mpz & decremented);
void mk_inv(unsigned bv_sz, const mpz & old_value, mpz & inverted);
void mk_flip(sort * s, const mpz & old_value, unsigned bit, mpz & flipped);
void mk_flip(sort * s, const mpz & old_value, unsigned bit, mpz & flipped);
void init_tracker(void);
double find_best_move(goal_ref const & g, ptr_vector<func_decl> & to_evaluate, double score,
unsigned & best_const, mpz & best_value, unsigned & new_bit, move_type & move);
lbool search(void);
double find_best_move_lsb(goal_ref const & g, ptr_vector<func_decl> & to_evaluate, double score,
unsigned & best_const, mpz & best_value, unsigned & new_bit, move_type & move);
double find_best_move_mc(goal_ref const & g, ptr_vector<func_decl> & to_evaluate, double score,
unsigned & best_const, mpz & best_value);
double find_best_move_local(expr * e, ptr_vector<func_decl> & to_evaluate,
unsigned & best_const, mpz & best_value, unsigned & new_bit, move_type & move);
bool what_if(goal_ref const & g, expr * e, func_decl * fd, const mpz & temp,
double & best_score, mpz & best_value, unsigned i);
double find_best_move_local(goal_ref const & g, expr * e, func_decl * fd, mpz & best_value, unsigned i);
lbool search(goal_ref const & g);
lbool operator()();
void operator()(goal_ref const & g, model_converter_ref & mc);
protected:
void checkpoint();
lbool search_old(goal_ref const & g);
double get_restart_armin(unsigned cnt_restarts);
bool what_if(func_decl * fd, const unsigned & fd_inx, const mpz & temp,
bool what_if(goal_ref const & g, func_decl * fd, const unsigned & fd_inx, const mpz & temp,
double & best_score, unsigned & best_const, mpz & best_value);
bool what_if(expr * e, func_decl * fd, const mpz & temp,
double & best_score, mpz & best_value, unsigned i);
bool what_if_new(goal_ref const & g, func_decl * fd, const unsigned & fd_inx, const mpz & temp,
double & best_score, unsigned & best_const, mpz & best_value);
double incremental_score_prune_new(goal_ref const & g, func_decl * fd, const mpz & new_value);
bool what_if_local(expr * e, func_decl * fd, const unsigned & fd_inx, const mpz & temp,
double & best_score, unsigned & best_const, mpz & best_value);
double top_score();
double rescore();
double serious_score(func_decl * fd, const mpz & new_value);
double incremental_score(func_decl * fd, const mpz & new_value);
double top_score(goal_ref const & g);
double rescore(goal_ref const & g);
double serious_score(goal_ref const & g, func_decl * fd, const mpz & new_value);
double incremental_score(goal_ref const & g, func_decl * fd, const mpz & new_value);
#if _EARLY_PRUNE_
double incremental_score_prune(func_decl * fd, const mpz & new_value);
double incremental_score_prune(goal_ref const & g, func_decl * fd, const mpz & new_value);
#endif
double find_best_move(ptr_vector<func_decl> & to_evaluate, double score,
unsigned & best_const, mpz & best_value, unsigned & new_bit, move_type & move);
double find_best_move_local(expr * e, func_decl * fd, mpz & best_value, unsigned i);
double find_best_move_local(expr * e, ptr_vector<func_decl> & to_evaluate,
unsigned & best_const, mpz & best_value, unsigned & new_bit, move_type & move);
double find_best_move_vns(ptr_vector<func_decl> & to_evaluate, double score,
unsigned & best_const, mpz & best_value, unsigned & new_bit, move_type & move);
void mk_random_move(ptr_vector<func_decl> & unsat_constants);
void mk_random_move();
bool handle_plateau(void);
bool handle_plateau(double old_score);
double find_best_move_vns(goal_ref const & g, ptr_vector<func_decl> & to_evaluate, double score,
unsigned & best_const, mpz & best_value, unsigned & new_bit, move_type & move);
void mk_random_move(ptr_vector<func_decl> & unsat_constants);
void mk_random_move(goal_ref const & g);
bool handle_plateau(goal_ref const & g);
bool handle_plateau(goal_ref const & g, double old_score);
inline unsigned check_restart(unsigned curr_value);
};
#endif
#endif

152
src/tactic/sls/sls_evaluator.h
View file

@ -575,7 +575,7 @@ public:
#if _CACHE_TOP_SCORE_
//if (!m_tracker.has_uplinks(cur))
if (m_tracker.is_top_expr(cur))
m_tracker.adapt_top_sum(new_score, m_tracker.get_score(cur));
m_tracker.adapt_top_sum(cur, new_score, m_tracker.get_score(cur));
#endif
m_tracker.set_score(cur, new_score);
m_tracker.set_score_prune(cur, new_score);
@ -584,12 +584,13 @@ public:
new_score = m_tracker.score(cur);
//if (!m_tracker.has_uplinks(cur))
if (m_tracker.is_top_expr(cur))
m_tracker.adapt_top_sum(new_score, m_tracker.get_score(cur));
m_tracker.adapt_top_sum(cur, new_score, m_tracker.get_score(cur));
m_tracker.set_score(cur, new_score);
#else
m_tracker.set_score(cur, m_tracker.score(cur));
#endif
#endif
#endif
if (m_tracker.has_uplinks(cur)) {
ptr_vector<expr> & ups = m_tracker.get_uplinks(cur);
for (unsigned j = 0; j < ups.size(); j++) {
@ -634,7 +635,7 @@ public:
#if _CACHE_TOP_SCORE_
//if (!m_tracker.has_uplinks(cur))
if (m_tracker.is_top_expr(cur))
m_tracker.adapt_top_sum(new_score, m_tracker.get_score(cur));
m_tracker.adapt_top_sum(cur, new_score, m_tracker.get_score(cur));
#endif
m_tracker.set_score(cur, new_score);
m_tracker.set_score_prune(cur, new_score);
@ -643,12 +644,12 @@ public:
new_score = m_tracker.score(cur);
//if (!m_tracker.has_uplinks(cur))
if (m_tracker.is_top_expr(cur))
m_tracker.adapt_top_sum(new_score, m_tracker.get_score(cur));
m_tracker.adapt_top_sum(cur, new_score, m_tracker.get_score(cur));
m_tracker.set_score(cur, new_score);
#else
m_tracker.set_score(cur, m_tracker.score(cur));
#endif
#endif
#endif
if (m_tracker.has_uplinks(cur)) {
ptr_vector<expr> & ups = m_tracker.get_uplinks(cur);
for (unsigned j = 0; j < ups.size(); j++) {
@ -683,7 +684,7 @@ public:
m_traversal_stack[cur_depth].push_back(ep);
if (cur_depth > max_depth) max_depth = cur_depth;
}
#if _REAL_RS_ || _REAL_PBFS_
#if _REAL_RS_ || _REAL_PBFS_ || _PAWS_
run_serious_update(max_depth);
#else
run_update(max_depth);
@ -729,14 +730,16 @@ public:
#if _CACHE_TOP_SCORE_
//if (!m_tracker.has_uplinks(cur))
if (m_tracker.is_top_expr(cur))
m_tracker.adapt_top_sum(new_score, m_tracker.get_score(cur));
m_tracker.adapt_top_sum(cur, new_score, m_tracker.get_score(cur));
#endif
prune_score = m_tracker.get_score_prune(cur);
m_tracker.set_score(cur, new_score);
if ((new_score > prune_score) && (m_tracker.has_pos_occ(cur)))
//if ((new_score >= prune_score) && (m_tracker.has_pos_occ(cur)))
pot_benefits = 1;
if ((new_score <= prune_score) && (m_tracker.has_neg_occ(cur)))
//if ((new_score < prune_score) && (m_tracker.has_neg_occ(cur)))
pot_benefits = 1;
if (m_tracker.has_uplinks(cur)) {
@ -771,7 +774,7 @@ public:
new_score = m_tracker.score(cur);
//if (!m_tracker.has_uplinks(cur))
if (m_tracker.is_top_expr(cur))
m_tracker.adapt_top_sum(new_score, m_tracker.get_score(cur));
m_tracker.adapt_top_sum(cur, new_score, m_tracker.get_score(cur));
m_tracker.set_score(cur, new_score);
#else
m_tracker.set_score(cur, m_tracker.score(cur));
@ -858,6 +861,104 @@ public:
}
#endif
unsigned run_update_bool_prune_new(unsigned cur_depth) {
expr_fast_mark1 visited;
double prune_score, new_score;
unsigned pot_benefits = 0;
SASSERT(cur_depth < m_traversal_stack_bool.size());
ptr_vector<expr> & cur_depth_exprs = m_traversal_stack_bool[cur_depth];
for (unsigned i = 0; i < cur_depth_exprs.size(); i++) {
expr * cur = cur_depth_exprs[i];
new_score = m_tracker.score(cur);
//if (!m_tracker.has_uplinks(cur))
if (m_tracker.is_top_expr(cur))
m_tracker.adapt_top_sum(cur, new_score, m_tracker.get_score(cur));
prune_score = m_tracker.get_score_prune(cur);
m_tracker.set_score(cur, new_score);
if ((new_score >= prune_score) && (m_tracker.has_pos_occ(cur)))
pot_benefits = 1;
if ((new_score < prune_score) && (m_tracker.has_neg_occ(cur)))
pot_benefits = 1;
if (m_tracker.has_uplinks(cur)) {
ptr_vector<expr> & ups = m_tracker.get_uplinks(cur);
for (unsigned j = 0; j < ups.size(); j++) {
expr * next = ups[j];
unsigned next_d = m_tracker.get_distance(next);
SASSERT(next_d < cur_depth);
if (!visited.is_marked(next)) {
m_traversal_stack_bool[next_d].push_back(next);
visited.mark(next);
}
}
}
else
{
}
}
cur_depth_exprs.reset();
cur_depth--;
while (cur_depth != static_cast<unsigned>(-1)) {
ptr_vector<expr> & cur_depth_exprs = m_traversal_stack_bool[cur_depth];
if (pot_benefits)
{
unsigned cur_size = cur_depth_exprs.size();
for (unsigned i = 0; i < cur_size; i++) {
expr * cur = cur_depth_exprs[i];
new_score = m_tracker.score(cur);
//if (!m_tracker.has_uplinks(cur))
if (m_tracker.is_top_expr(cur))
m_tracker.adapt_top_sum(cur, new_score, m_tracker.get_score(cur));
m_tracker.set_score(cur, new_score);
if (m_tracker.has_uplinks(cur)) {
ptr_vector<expr> & ups = m_tracker.get_uplinks(cur);
for (unsigned j = 0; j < ups.size(); j++) {
expr * next = ups[j];
unsigned next_d = m_tracker.get_distance(next);
SASSERT(next_d < cur_depth);
if (!visited.is_marked(next)) {
m_traversal_stack_bool[next_d].push_back(next);
visited.mark(next);
}
}
}
}
}
cur_depth_exprs.reset();
cur_depth--;
}
return pot_benefits;
}
unsigned update_prune_new(func_decl * fd, const mpz & new_value) {
m_tracker.set_value(fd, new_value);
expr * ep = m_tracker.get_entry_point(fd);
unsigned cur_depth = m_tracker.get_distance(ep);
if (m_traversal_stack_bool.size() <= cur_depth)
m_traversal_stack_bool.resize(cur_depth+1);
if (m_traversal_stack.size() <= cur_depth)
m_traversal_stack.resize(cur_depth+1);
if (m_manager.is_bool(ep))
m_traversal_stack_bool[cur_depth].push_back(ep);
else
{
m_traversal_stack[cur_depth].push_back(ep);
run_update_prune(cur_depth);
}
return run_update_bool_prune_new(cur_depth);
}
void randomize_local(ptr_vector<func_decl> & unsat_constants) {
// Randomize _all_ candidates:
@ -901,7 +1002,7 @@ public:
mpz temp = m_tracker.get_random(fd->get_range());
#endif
#if _REAL_RS_ || _REAL_PBFS_
#if _REAL_RS_ || _REAL_PBFS_ || _PAWS_
serious_update(fd, temp);
#else
update(fd, temp);
@ -922,9 +1023,36 @@ public:
randomize_local(m_tracker.get_constants(e));
}
void randomize_local(ptr_vector<expr> const & as, unsigned int flip) {
randomize_local(m_tracker.get_unsat_constants(as, flip));
void randomize_local(goal_ref const & g, unsigned int flip) {
randomize_local(m_tracker.get_unsat_constants(g, flip));
}
void randomize_local_n(goal_ref const & g, ptr_vector<func_decl> & unsat_constants) {
unsigned r = m_tracker.get_random_uint(16) % unsat_constants.size();
func_decl * fd = unsat_constants[r];
sort * srt = fd->get_range();
unsigned bv_sz = m_manager.is_bool(srt) ? 1 : m_bv_util.get_bv_size(srt);
mpz max_val = m_tracker.get_random(srt);
update(fd, max_val);
double max_score = m_tracker.get_top_sum() / g->size();
mpz temp_val;
double temp_score;
for (unsigned i = 1; i < 2; i++)
//for (unsigned i = 1; i < bv_sz; i++)
{
m_mpz_manager.set(temp_val, m_tracker.get_random(srt));
update(fd, temp_val);
temp_score = m_tracker.get_top_sum() / g->size();
if (temp_score > max_score)
{
m_mpz_manager.set(max_val, temp_val);
max_score = temp_score;
}
}
update(fd, max_val);
m_mpz_manager.del(temp_val);
m_mpz_manager.del(max_val);
}
};
#endif

4
src/tactic/sls/sls_tactic.cpp
View file

@ -1509,14 +1509,14 @@ tactic * mk_preamble(ast_manager & m, params_ref const & p) {
mk_max_bv_sharing_tactic(m),
// Andreas: It would be cool to get rid of shared top level assertions but which simplification is doing this?
//mk_ctx_simplify_tactic(m, ctx_p),
// Andreas: This one at least eliminates top level duplicates ...
// Andreas: This one at least eliminates top level duplicates ... but has very bad effects on performance!
//mk_simplify_tactic(m),
// Andreas: How does a NNF actually look like? Can it contain ITE operators?
mk_nnf_tactic(m, p));
}
tactic * mk_qfbv_sls_tactic(ast_manager & m, params_ref const & p) {
tactic * t = and_then(mk_preamble(m, p), mk_sls_tactic(m));
// tactic * t = and_then(mk_simplify_tactic(m), mk_nnf_tactic(m, p), mk_sls_tactic(m));
t->updt_params(p);
return t;
}

472
src/tactic/sls/sls_tracker.h
View file

@ -20,9 +20,7 @@ Notes:
#ifndef _SLS_TRACKER_H_
#define _SLS_TRACKER_H_
#include"for_each_expr.h"
#include"ast_smt2_pp.h"
#include"bv_decl_plugin.h"
#include"goal.h"
#include"model.h"
#include"sls_compilation_settings.h"
@ -88,12 +86,17 @@ private:
obj_map<expr, unsigned> m_where_false;
expr** m_list_false;
#endif
#if _PAWS_
obj_map<expr, unsigned> m_weights;
//obj_map<expr, double> m_weights;
#endif
#if _CACHE_TOP_SCORE_
double m_top_sum;
#endif
#if _WEIGHT_DIST_ == 4 || _WEIGHT_TOGGLE_
double m_weight_dist_factor;
#endif
unsigned m_equal_scores;
public:
sls_tracker(ast_manager & m, bv_util & bvu, unsynch_mpz_manager & mm, powers & p) :
@ -113,15 +116,52 @@ public:
m_mpz_manager.del(m_two);
}
unsigned get_formula_size() {
return m_scores.size();
}
double get_avg_bw(goal_ref const & g) {
double sum = 0.0;
unsigned count = 0;
for (unsigned i = 0; i < g->size(); i++)
{
m_temp_constants.reset();
ptr_vector<func_decl> const & this_decls = m_constants_occ.find(g->form(i));
unsigned sz = this_decls.size();
for (unsigned i = 0; i < sz; i++) {
func_decl * fd = this_decls[i];
m_temp_constants.push_back(fd);
sort * srt = fd->get_range();
sum += (m_manager.is_bool(srt)) ? 1 : m_bv_util.get_bv_size(srt);
count++;
}
}
return sum / count;
}
#if _WEIGHT_DIST_ == 4 || _WEIGHT_TOGGLE_
inline void set_weight_dist_factor(double val) {
m_weight_dist_factor = val;
}
#endif
void reset_equal_scores() {
m_equal_scores = 1;
}
unsigned inc_equal_scores() {
return ++m_equal_scores;
}
#if _CACHE_TOP_SCORE_
inline void adapt_top_sum(double add, double sub) {
inline void adapt_top_sum(expr * e, double add, double sub) {
#if _PAWS_
m_top_sum += m_weights.find(e) * (add - sub);
#else
m_top_sum += add - sub;
#endif
}
inline void set_top_sum(double new_score) {
@ -278,19 +318,21 @@ public:
}
#endif
void uct_forget(ptr_vector<expr> & as) {
#if _UCT_
void uct_forget(goal_ref const & g) {
expr * e;
unsigned touched_old, touched_new;
for (unsigned i = 0; i < as.size(); i++)
for (unsigned i = 0; i < g->size(); i++)
{
e = as[i];
e = g->form(i);
touched_old = m_scores.find(e).touched;
touched_new = (unsigned)((touched_old - 1) * _UCT_FORGET_FACTOR_ + 1);
m_scores.find(e).touched = touched_new;
m_touched += touched_new - touched_old;
}
}
#endif
void initialize(app * n) {
// Build score table
@ -367,12 +409,12 @@ public:
}
};
void calculate_expr_distances(ptr_vector<expr> const & as) {
void calculate_expr_distances(goal_ref const & g) {
// precondition: m_scores is set up.
unsigned sz = as.size();
unsigned sz = g->size();
ptr_vector<app> stack;
for (unsigned i = 0; i < sz; i++)
stack.push_back(to_app(as[i]));
stack.push_back(to_app(g->form(i)));
while (!stack.empty()) {
app * cur = stack.back();
stack.pop_back();
@ -420,12 +462,12 @@ public:
quick_for_each_expr(ffd_proc, visited, e);
}
void initialize(ptr_vector<expr> const & as) {
void initialize(goal_ref const & g) {
init_proc proc(m_manager, *this);
expr_mark visited;
unsigned sz = as.size();
unsigned sz = g->size();
for (unsigned i = 0; i < sz; i++) {
expr * e = as[i];
expr * e = g->form(i);
if (!m_top_expr.contains(e))
m_top_expr.insert(e);
else
@ -440,7 +482,7 @@ public:
visited.reset();
for (unsigned i = 0; i < sz; i++) {
expr * e = as[i];
expr * e = g->form(i);
// Andreas: Maybe not fully correct.
#if _FOCUS_ == 2 || _INTENSIFICATION_
initialize_recursive(e);
@ -452,7 +494,7 @@ public:
quick_for_each_expr(ffd_proc, visited, e);
}
calculate_expr_distances(as);
calculate_expr_distances(g);
TRACE("sls", tout << "Initial model:" << std::endl; show_model(tout); );
@ -465,16 +507,49 @@ public:
//}
#endif
#if _PAWS_
for (unsigned i = 0; i < sz; i++)
{
expr * e = g->form(i);
if (!m_weights.contains(e))
m_weights.insert(e, _PAWS_INIT_);
}
#endif
#if _EARLY_PRUNE_
for (unsigned i = 0; i < sz; i++)
setup_occs(as[i]);
setup_occs(g->form(i));
#endif
#if _UCT_
m_touched = _UCT_INIT_ ? as.size() : 1;
m_touched = _UCT_INIT_ ? g->size() : 1;
#endif
}
#if _PAWS_
void increase_weight(expr * e)
{
//printf("Increasing %d to", m_weights.find(e));
m_weights.find(e)++;
//m_weights.find(e) *= 1.1;
//printf(" %d\n", m_weights.find(e));
}
void decrease_weight(expr * e)
{
unsigned old_weight = m_weights.find(e);
m_weights.find(e) = old_weight > _PAWS_INIT_ ? old_weight - 1 : _PAWS_INIT_;
//m_weights.find(e) = old_weight > 1.1 ? old_weight / 1.1 : 1;
//printf("Decreasing %d to %d\n", old_weight, m_weights.find(e));
}
unsigned get_weight(expr * e)
//double get_weight(expr * e)
{
return m_weights.find(e);
}
#endif
#if _REAL_RS_ || _REAL_PBFS_
void make_assertion(expr * e)
{
@ -608,7 +683,7 @@ public:
NOT_IMPLEMENTED_YET(); // This only works for bit-vectors for now.
}
void randomize(ptr_vector<expr> const & as) {
void randomize(goal_ref const & g) {
TRACE("sls", tout << "Abandoned model:" << std::endl; show_model(tout); );
for (entry_point_type::iterator it = m_entry_points.begin(); it != m_entry_points.end(); it++) {
@ -622,13 +697,13 @@ public:
TRACE("sls", tout << "Randomized model:" << std::endl; show_model(tout); );
#if _UCT_RESET_
m_touched = _UCT_INIT_ ? as.size() : 1;
for (unsigned i = 0; i < as.size(); i++)
m_scores.find(as[i]).touched = 1;
m_touched = _UCT_INIT_ ? g->size() : 1;
for (unsigned i = 0; i < g->size(); i++)
m_scores.find(g->form(i)).touched = 1;
#endif
}
void reset(ptr_vector<expr> const & as) {
void reset(goal_ref const & g) {
TRACE("sls", tout << "Abandoned model:" << std::endl; show_model(tout); );
for (entry_point_type::iterator it = m_entry_points.begin(); it != m_entry_points.end(); it++) {
@ -638,9 +713,9 @@ public:
}
#if _UCT_RESET_
m_touched = _UCT_INIT_ ? as.size() : 1;
for (unsigned i = 0; i < as.size(); i++)
m_scores.find(as[i]).touched = 1;
m_touched = _UCT_INIT_ ? g->size() : 1;
for (unsigned i = 0; i < g->size(); i++)
m_scores.find(g->form(i)).touched = 1;
#endif
}
@ -765,6 +840,7 @@ public:
const mpz & v1 = get_value(arg1);
if (negated) {
//res = (m_mpz_manager.eq(v0, v1)) ? 0.5 * (m_bv_util.get_bv_size(arg0) - 1.0) / m_bv_util.get_bv_size(arg0) : 1.0;
res = (m_mpz_manager.eq(v0, v1)) ? 0.0 : 1.0;
TRACE("sls_score", tout << "V0 = " << m_mpz_manager.to_string(v0) << " ; V1 = " <<
m_mpz_manager.to_string(v1) << std::endl; );
@ -811,40 +887,209 @@ public:
SASSERT(a->get_num_args() == 2);
const mpz & x = get_value(a->get_arg(0));
const mpz & y = get_value(a->get_arg(1));
unsigned bv_sz = m_bv_util.get_bv_size(a->get_decl()->get_domain()[0]);
int bv_sz = m_bv_util.get_bv_size(a->get_decl()->get_domain()[0]);
if (negated) {
if (m_mpz_manager.gt(x, y))
{
/*mpz diff;
m_mpz_manager.sub(x, y, diff);
m_mpz_manager.inc(diff);
rational n(diff);
n /= rational(m_powers(bv_sz));
double dbl = n.get_double();
// In extreme cases, n is 0.9999 but to_double returns something > 1.0
m_mpz_manager.del(diff);
res = 1.0 + 0.5 * dbl;*/
res = 1.0;
}
else {
//res = (bv_sz - 1.0) / bv_sz;
/* mpz x_copy, y_copy;
m_mpz_manager.set(x_copy, x);
m_mpz_manager.set(y_copy, y);
unsigned lower_gt = 0;
unsigned curr_gt = 0;
int last_pos = -1;
for (int i = 0; i < bv_sz; i++)
{
if (m_mpz_manager.is_odd(x_copy) && m_mpz_manager.is_even(y_copy))
{
lower_gt = curr_gt;
curr_gt = 1;
last_pos = i;
}
else if (m_mpz_manager.is_even(x_copy) && m_mpz_manager.is_odd(y_copy))
{
lower_gt = curr_gt;
curr_gt = 0;
last_pos = i;
}
m_mpz_manager.machine_div(x_copy, m_two, x_copy);
m_mpz_manager.machine_div(y_copy, m_two, y_copy);
}
res = (double)(bv_sz - last_pos - 1 + 2 * lower_gt) / (double)(bv_sz + 2);
m_mpz_manager.del(x_copy);
m_mpz_manager.del(y_copy);*/
#if 1
mpz diff;
m_mpz_manager.sub(y, x, diff);
m_mpz_manager.inc(diff);
rational n(diff);
n /= rational(m_powers(bv_sz));
double dbl = 1.0 - n.get_double();
// In extreme cases, n is 0.9999 but to_double returns something > 1.0
res = (dbl > 1.0) ? 1.0 : (dbl < 0.0) ? 0.0 : dbl;
//res = (dbl > 1.0) ? 0.0 : (dbl < 0.0) ? 1.0 : 1.0 - dbl;
m_mpz_manager.del(diff);
#endif
}
}
else {
if (m_mpz_manager.le(x, y))
{
/*mpz diff;
m_mpz_manager.sub(y, x, diff);
m_mpz_manager.inc(diff);
rational n(diff);
n /= rational(m_powers(bv_sz));
double dbl = n.get_double();
// In extreme cases, n is 0.9999 but to_double returns something > 1.0
res = (dbl > 1.0) ? 0.0 : (dbl < 0.0) ? 1.0 : 1.0 - dbl;
m_mpz_manager.del(diff);
}
}
else {
if (m_mpz_manager.le(x, y))
res = 1.0 + 0.5 * dbl;*/
res = 1.0;
}
else {
//res = (bv_sz - 1.0) / bv_sz;
/* mpz x_copy, y_copy;
m_mpz_manager.set(x_copy, x);
m_mpz_manager.set(y_copy, y);
unsigned lower_le = 1;
unsigned curr_le = 1;
int last_pos = -1;
for (int i = 0; i < bv_sz; i++)
{
if (m_mpz_manager.is_odd(x_copy) && m_mpz_manager.is_even(y_copy))
{
lower_le = curr_le;
curr_le = 0;
last_pos = i;
}
else if (m_mpz_manager.is_even(x_copy) && m_mpz_manager.is_odd(y_copy))
{
lower_le = curr_le;
curr_le = 1;
last_pos = i;
}
m_mpz_manager.machine_div(x_copy, m_two, x_copy);
m_mpz_manager.machine_div(y_copy, m_two, y_copy);
}
res = (double)(bv_sz - last_pos - 1 + 2 * lower_le) / (double)(bv_sz + 2);*/
#if 1
mpz diff;
m_mpz_manager.sub(x, y, diff);
rational n(diff);
n /= rational(m_powers(bv_sz));
double dbl = n.get_double();
double dbl = 1.0 - n.get_double();
res = (dbl > 1.0) ? 1.0 : (dbl < 0.0) ? 0.0 : dbl;
m_mpz_manager.del(diff);
#endif
}
}
TRACE("sls_score", tout << "x = " << m_mpz_manager.to_string(x) << " ; y = " <<
m_mpz_manager.to_string(y) << " ; SZ = " << bv_sz << std::endl; );
}
else if (m_bv_util.is_bv_sle(n)) { // x <= y
/* else if (m_bv_util.is_bv_sle(n)) { // x <= y
app * a = to_app(n);
SASSERT(a->get_num_args() == 2);
const mpz & x = get_value(a->get_arg(0));
const mpz & y = get_value(a->get_arg(1));
int bv_sz = m_bv_util.get_bv_size(a->get_decl()->get_domain()[0]);
mpz x_unsigned;
mpz y_unsigned;
const mpz & p = m_powers(bv_sz);
const mpz & p_half = m_powers(bv_sz-1);
if (x >= p_half) { m_mpz_manager.sub(x, p, x_unsigned); }
if (y >= p_half) { m_mpz_manager.sub(y, p, y_unsigned); }
if (negated) {
if (x_unsigned > y_unsigned)
res = 1.0;
else {
mpz x_copy, y_copy;
m_mpz_manager.set(x_copy, x);
m_mpz_manager.set(y_copy, y);
unsigned lower_gt = 0;
unsigned curr_gt = 0;
int last_pos = -1;
for (int i = 0; i < bv_sz; i++)
{
if (m_mpz_manager.is_odd(x_copy) && m_mpz_manager.is_even(y_copy))
{
lower_gt = curr_gt;
curr_gt = 1;
last_pos = i;
}
else if (m_mpz_manager.is_even(x_copy) && m_mpz_manager.is_odd(y_copy))
{
lower_gt = curr_gt;
curr_gt = 0;
last_pos = i;
}
m_mpz_manager.machine_div(x_copy, m_two, x_copy);
m_mpz_manager.machine_div(y_copy, m_two, y_copy);
}
res = (double)(bv_sz - last_pos - 1 + 2 * lower_gt) / (double)(bv_sz + 2);
m_mpz_manager.del(x_copy);
m_mpz_manager.del(y_copy);
}
}
else {
if (x_unsigned <= y_unsigned)
res = 1.0;
else {
mpz x_copy, y_copy;
m_mpz_manager.set(x_copy, x);
m_mpz_manager.set(y_copy, y);
unsigned lower_le = 1;
unsigned curr_le = 1;
int last_pos = -1;
for (int i = 0; i < bv_sz; i++)
{
if (m_mpz_manager.is_odd(x_copy) && m_mpz_manager.is_even(y_copy))
{
lower_le = curr_le;
curr_le = 0;
last_pos = i;
}
else if (m_mpz_manager.is_even(x_copy) && m_mpz_manager.is_odd(y_copy))
{
lower_le = curr_le;
curr_le = 1;
last_pos = i;
}
m_mpz_manager.machine_div(x_copy, m_two, x_copy);
m_mpz_manager.machine_div(y_copy, m_two, y_copy);
}
res = (double)(bv_sz - last_pos - 1 + 2 * lower_le) / (double)(bv_sz + 2);
}
}
TRACE("sls_score", tout << "x = " << m_mpz_manager.to_string(x) << " ; y = " <<
m_mpz_manager.to_string(y) << " ; SZ = " << bv_sz << std::endl; );
m_mpz_manager.del(x_unsigned);
m_mpz_manager.del(y_unsigned);
}*/
else if (m_bv_util.is_bv_sle(n)) { // x <= y
app * a = to_app(n);
SASSERT(a->get_num_args() == 2);
mpz x; m_mpz_manager.set(x, get_value(a->get_arg(0)));
@ -857,31 +1102,61 @@ public:
if (negated) {
if (x > y)
res = 1.0;
{
/*mpz diff;
m_mpz_manager.sub(x, y, diff);
m_mpz_manager.inc(diff);
rational n(diff);
n /= rational(m_powers(bv_sz));
double dbl = n.get_double();
// In extreme cases, n is 0.9999 but to_double returns something > 1.0
m_mpz_manager.del(diff);
res = 1.0 + 0.5 * dbl;*/
res = 1.0;
}
else {
//res = (bv_sz - 1.0) / bv_sz;
#if 1
mpz diff;
m_mpz_manager.sub(y, x, diff);
m_mpz_manager.inc(diff);
rational n(diff);
n /= p;
double dbl = n.get_double();
res = (dbl > 1.0) ? 0.0 : (dbl < 0.0) ? 1.0 : 1.0 - dbl;
double dbl = 1.0 - n.get_double();
//res = (dbl > 1.0) ? 0.0 : (dbl < 0.0) ? 1.0 : 1.0 - dbl;
res = (dbl > 1.0) ? 1.0 : (dbl < 0.0) ? 0.0 : dbl;
m_mpz_manager.del(diff);
#endif
}
TRACE("sls_score", tout << "x = " << m_mpz_manager.to_string(x) << " ; y = " <<
m_mpz_manager.to_string(y) << " ; SZ = " << bv_sz << std::endl; );
}
else {
if (x <= y)
res = 1.0;
{
/*mpz diff;
m_mpz_manager.sub(y, x, diff);
m_mpz_manager.inc(diff);
rational n(diff);
n /= rational(m_powers(bv_sz));
double dbl = n.get_double();
// In extreme cases, n is 0.9999 but to_double returns something > 1.0
m_mpz_manager.del(diff);
res = 1.0 + 0.5 * dbl;*/
res = 1.0;
}
else {
//res = (bv_sz - 1.0) / bv_sz;
#if 1
mpz diff;
m_mpz_manager.sub(x, y, diff);
SASSERT(!m_mpz_manager.is_neg(diff));
rational n(diff);
n /= p;
double dbl = n.get_double();
double dbl = 1.0 - n.get_double();
res = (dbl > 1.0) ? 1.0 : (dbl < 0.0) ? 0.0 : dbl;
m_mpz_manager.del(diff);
#endif
}
TRACE("sls_score", tout << "x = " << m_mpz_manager.to_string(x) << " ; y = " <<
m_mpz_manager.to_string(y) << " ; SZ = " << bv_sz << std::endl; );
@ -1031,13 +1306,13 @@ public:
return m_temp_constants;
}
ptr_vector<func_decl> & get_unsat_constants_gsat(ptr_vector<expr> const & as, unsigned sz) {
ptr_vector<func_decl> & get_unsat_constants_gsat(goal_ref const & g, unsigned sz) {
if (sz == 1)
return get_constants();
m_temp_constants.reset();
for (unsigned i = 0; i < sz; i++) {
expr * q = as[i];
expr * q = g->form(i);
if (m_mpz_manager.eq(get_value(q), m_one))
continue;
ptr_vector<func_decl> const & this_decls = m_constants_occ.find(q);
@ -1051,22 +1326,22 @@ public:
return m_temp_constants;
}
expr * get_unsat_assertion(ptr_vector<expr> const & as, unsigned sz, unsigned int pos) {
expr * get_unsat_assertion(goal_ref const & g, unsigned sz, unsigned int pos) {
for (unsigned i = pos; i < sz; i++) {
expr * q = as[i];
expr * q = g->form(i);
if (m_mpz_manager.neq(get_value(q), m_one))
return q;
}
for (unsigned i = 0; i < pos; i++) {
expr * q = as[i];
expr * q = g->form(i);
if (m_mpz_manager.neq(get_value(q), m_one))
return q;
}
return 0;
}
ptr_vector<func_decl> & get_unsat_constants_walksat(ptr_vector<expr> const & as, unsigned sz, unsigned int pos) {
expr * q = get_unsat_assertion(as, sz, pos);
ptr_vector<func_decl> & get_unsat_constants_walksat(goal_ref const & g, unsigned sz, unsigned int pos) {
expr * q = get_unsat_assertion(g, sz, pos);
// Andreas: I should probably fix this. If this is the case then the formula is SAT anyway but this is not checked in the first iteration.
if (!q)
return m_temp_constants;
@ -1143,20 +1418,66 @@ public:
return m_temp_constants;
}
ptr_vector<func_decl> & get_unsat_constants_crsat(ptr_vector<expr> const & as, unsigned sz, unsigned int pos) {
expr * q = get_unsat_assertion(as, sz, pos);
ptr_vector<func_decl> & get_unsat_constants_crsat(goal_ref const & g, unsigned sz, unsigned int pos) {
expr * q = get_unsat_assertion(g, sz, pos);
if (!q)
return m_temp_constants;
return go_deeper(q);
}
ptr_vector<func_decl> & get_unsat_constants(ptr_vector<expr> const & as, unsigned int flip) {
unsigned sz = as.size();
void go_deeper_only(expr * e) {
//if (m_manager.is_bool(e)) {
if (m_manager.is_and(e)) {
app * a = to_app(e);
expr * const * args = a->get_args();
unsigned int sz = a->get_num_args();
unsigned cnt_unsat = 0, pos = -1;
for (unsigned int i = 0; i < sz; i++) {
expr * q = args[i];
if (m_mpz_manager.neq(get_value(q), m_one) && (get_random_uint(16) % ++cnt_unsat == 0)) pos = i;
//if (m_mpz_manager.neq(get_value(q), m_one)) go_deeper(q);
}
go_deeper(args[pos]);
}
else if (m_manager.is_or(e)) {
app * a = to_app(e);
expr * const * args = a->get_args();
unsigned int sz = a->get_num_args();
for (unsigned int i = 0; i < sz; i++) {
expr * q = args[i];
go_deeper(q);
}
}
//}
else
{
ptr_vector<func_decl> const & this_decls = m_constants_occ.find(e);
unsigned sz2 = this_decls.size();
for (unsigned j = 0; j < sz2; j++) {
func_decl * fd = this_decls[j];
if (!m_temp_constants.contains(fd))
m_temp_constants.push_back(fd);
}
}
}
ptr_vector<func_decl> & get_unsat_constants_only(expr * e) {
if (e && !m_temp_constants.size())
go_deeper_only(e);
return m_temp_constants;
}
ptr_vector<func_decl> & get_unsat_constants(goal_ref const & g, unsigned int flip) {
unsigned sz = g->size();
if (sz == 1) {
if (m_mpz_manager.eq(get_value(as[0]), m_one))
if (m_mpz_manager.eq(get_value(g->form(0)), m_one))
{
m_temp_constants.reset();
return m_temp_constants;
}
else
return get_constants();
}
@ -1169,11 +1490,12 @@ public:
#if _PROBABILISTIC_UCT_
double sum_score = 0.0;
unsigned start_index = get_random_uint(16) % sz;
for (unsigned i = start_index; i < sz; i++)
{
expr * e = g->form(i);
vscore = m_scores.find(e);
#if _PROBABILISTIC_UCT_ == 2
double q = vscore.score * vscore.score;
#else
@ -1203,7 +1525,7 @@ public:
#else
double max = -1.0;
for (unsigned i = 0; i < sz; i++) {
expr * e = as[i];
expr * e = g->form(i);
// for (unsigned i = 0; i < m_where_false.size(); i++) {
// expr * e = m_list_false[i];
vscore = m_scores.find(e);
@ -1221,12 +1543,12 @@ public:
return m_temp_constants;
#if _UCT_ == 1 || _UCT_ == 3
m_scores.find(as[pos]).touched++;
m_scores.find(g->form(pos)).touched++;
m_touched++;
#elif _UCT_ == 2
m_scores.find(as[pos]).touched = flip;
m_scores.find(g->form(pos)).touched = flip;
#endif
expr * e = as[pos];
expr * e = g->form(pos);
// expr * e = m_list_false[pos];
#elif _BFS_ == 3
@ -1304,12 +1626,15 @@ public:
}
}
expr * get_unsat_assertion(goal_ref const & g, unsigned int flip) {
unsigned sz = g->size();
expr * get_unsat_assertion(ptr_vector<expr> const & as, unsigned int flip) {
unsigned sz = as.size();
if (sz == 1)
return as[0];
if (sz == 1) {
if (m_mpz_manager.eq(get_value(g->form(0)), m_zero))
return g->form(0);
else
return 0;
}
m_temp_constants.reset();
#if _FOCUS_ == 1
@ -1353,12 +1678,12 @@ public:
#else
double max = -1.0;
for (unsigned i = 0; i < sz; i++) {
expr * e = as[i];
expr * e = g->form(i);
// for (unsigned i = 0; i < m_where_false.size(); i++) {
// expr * e = m_list_false[i];
vscore = m_scores.find(e);
#if _UCT_ == 1
double q = vscore.score + _UCT_CONSTANT_ * sqrt(log((double)m_touched) / vscore.touched);
double q = vscore.score + _UCT_CONSTANT_ * sqrt(log((double)m_touched) / vscore.touched);
#elif _UCT_ == 2
double q = vscore.score + (_UCT_CONSTANT_ * (flip - vscore.touched)) / sz;
#elif _UCT_ == 3
@ -1371,13 +1696,13 @@ public:
return 0;
#if _UCT_ == 1 || _UCT_ == 3
m_scores.find(as[pos]).touched++;
m_scores.find(g->form(pos)).touched++;
m_touched++;
#elif _UCT_ == 2
m_scores.find(g->form(pos)).touched = flip;
#endif
// return m_list_false[pos];
return as[pos];
return g->form(pos);
#elif _BFS_ == 3
unsigned int pos = -1;
@ -1431,7 +1756,7 @@ public:
unsigned int pos = get_random_uint(16) % sz;
return get_unsat_assertion(g, sz, pos);
#endif
return as[pos];
return g->form(pos);
#elif _FOCUS_ == 2
#if _BFS_
unsigned int pos = flip % sz;
@ -1441,6 +1766,23 @@ public:
return get_unsat_constants_crsat(g, sz, pos);
#endif
}
expr * get_new_unsat_assertion(goal_ref const & g, expr * e) {
unsigned sz = g->size();
if (sz == 1)
return 0;
m_temp_constants.reset();
unsigned cnt_unsat = 0, pos = -1;
for (unsigned i = 0; i < sz; i++)
if (m_mpz_manager.neq(get_value(g->form(i)), m_one) && (get_random_uint(16) % ++cnt_unsat == 0) && (g->form(i) != e)) pos = i;
if (pos == static_cast<unsigned>(-1))
return 0;
return g->form(pos);
}
};
#endif

28
src/tactic/smtlogics/qfbv_tactic.cpp
View file

@ -28,6 +28,8 @@ Notes:
#include"bv_size_reduction_tactic.h"
#include"aig_tactic.h"
#include"sat_tactic.h"
//#include"nnf_tactic.h"
//#include"sls_tactic.h"
#define MEMLIMIT 300
@ -93,6 +95,32 @@ tactic * mk_qfbv_tactic(ast_manager & m, params_ref const & p) {
mk_sat_tactic(m));
#endif
/* use full sls
tactic * st = using_params(and_then(preamble_st,
cond(mk_is_qfbv_probe(),
cond(mk_is_qfbv_eq_probe(),
and_then(mk_bv1_blaster_tactic(m),
using_params(mk_smt_tactic(), solver_p)),
and_then(mk_nnf_tactic(m, p), mk_sls_tactic(m))),
mk_smt_tactic())),
main_p);*/
/* use pure dpll
tactic * st = using_params(and_then(mk_simplify_tactic(m),
cond(mk_is_qfbv_probe(),
and_then(mk_bit_blaster_tactic(m),
when(mk_lt(mk_memory_probe(), mk_const_probe(MEMLIMIT)),
and_then(using_params(and_then(mk_simplify_tactic(m),
mk_solve_eqs_tactic(m)),
local_ctx_p),
if_no_proofs(cond(mk_produce_unsat_cores_probe(),
mk_aig_tactic(),
using_params(mk_aig_tactic(),
big_aig_p))))),
new_sat),
mk_smt_tactic())),
main_p);*/
tactic * st = using_params(and_then(preamble_st,
// If the user sets HI_DIV0=false, then the formula may contain uninterpreted function
// symbols. In this case, we should not use