mirrors/z3
3
0
Fork 0
mirror of https://github.com/Z3Prover/z3 synced 2025-04-07 18:05:21 +00:00
Code Activity

Merge branch 'bvsls' of https://git01.codeplex.com/z3 into opt

Browse source 
Conflicts:
	src/tactic/sls/sls_compilation_settings.h

Signed-off-by: Christoph M. Wintersteiger <cwinter@microsoft.com>
This commit is contained in:
Christoph M. Wintersteiger 2014-04-25 18:05:53 +01:00
parent 20cb8a3092 a3f20774a8
commit ac206bacbf
8 changed files with 475 additions and 1702 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

168
src/tactic/sls/sls_compilation_settings.h
View file

@ -1,168 +0,0 @@
/*++
Copyright (c) 2014 Microsoft Corporation
Module Name:
sls_compilation_constants.h
Abstract:
Stochastic Local Search (SLS) compilation constants
Author:
Christoph (cwinter) 2014-03-19
Notes:
This file should go away completely once we have evaluated all options.
--*/
#ifndef _SLS_COMPILATION_SETTINGS_H_
#define _SLS_COMPILATION_SETTINGS_H_
// which unsatisfied assertion is selected? only works with _FOCUS_ > 0
// 0 = random, 1 = #moves, 2 = assertion with min score, 3 = assertion with max score
#define _BFS_ 0
// how many terms are considered for variable selection?
// 0 = all terms (GSAT), 1 = only one top level assertion (WSAT), 2 = only one bottom level atom
#define _FOCUS_ 1
// probability of choosing the same assertion again in the next step
#define _PERC_STICKY_ 0
// do we use dirty unit propagation to get rid of nested top level assertions?
#define _DIRTY_UP_ 0
// do we use restarts?
// 0 = no, 1 = use #moves, 2 = use #plateaus, 3 = use time
#define _RESTARTS_ 1
// limit of moves/plateaus/seconds until first restart occurs
#define _RESTART_LIMIT_ 10
// 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, 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
// timelimit
#define _TIMELIMIT_ 3600
// should score of conjunctions be calculated by average rather than max?
#define _SCORE_AND_AVG_ 0
// should score of discunctions be calculated by multiplication of the inverse score rather than min?
#define _SCORE_OR_MUL_ 0
// do we use some kind of variable neighbourhood-search?
// 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
// do we reduce the score of unsatisfied literals?
// 0 = no
// 1 = yes, by multiplying it with some factor
// 2 = yes, by squaring it
// 3 = yes, by setting it to zero
// 4 = by progessively increasing weight (_TIMELIMIT_ needs to be set appropriately!)
#define _WEIGHT_DIST_ 1
// the factor used for _WEIGHT_DIST_ = 1
#define _WEIGHT_DIST_FACTOR_ 0.25
// shall we toggle the weight after each restart?
#define _WEIGHT_TOGGLE_ 0
// do we use intensification steps in local minima? if so, how many?
#define _INTENSIFICATION_ 0
#define _INTENSIFICATION_TRIES_ 0
// 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?
#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
// 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
#define _PROBABILISTIC_UCT_ 0
// additive constants for probabilistic uct > 0
#define _UCT_EPS_ 0.0001
// shall we reset _UCT_ touched values after restart?
#define _UCT_RESET_ 0
// how shall we initialize the _UCT_ total touched counter?
// 0 = initialize with one, 1 = initialize with number of assertions
#define _UCT_INIT_ 1
// do we gradually reduce the touched values of _UCT_?
#define _UCT_FORGET_ 0
#define _UCT_FORGET_FACTOR_ 0.5
// shall we use addition/subtraction?
#define _USE_ADDSUB_ 1
// shall we try multilication and division by 2?
#define _USE_MUL2DIV2_ 0
// shall we try multiplication by 3?
#define _USE_MUL3_ 0
// shall we try unary minus (= inverting and incrementing)
#define _USE_UNARY_MINUS_ 0
// is random selection for assertions uniform? only works with _BFS_ = _UCT_ = 0
#define _UNIFORM_RANDOM_ 0
// should we use unsat-structures as done in SLS 4 SAT instead for random or bfs selection?
#define _REAL_RS_ 0
#define _REAL_PBFS_ 0
// how many bits do we neglect in each iteration?
#define _SKIP_BITS_ 0
// when randomizing local, what is the probability for changing a single bit?
// 0 = use standard scheme and pick a new value at random (= 50), otherwise the value (as int) gives the percentage
#define _PERC_CHANGE_ 0
// do we use random steps for noise?
// 0 = no, 1 = randomize local, 2 = make random move
#define _TYPE_RSTEP_ 0
// with what probability _PERM_STEP_/1000 will the random step happen?
#define _PERM_RSTEP_ 0
// shall we use early pruning for incremental update?
#define _EARLY_PRUNE_ 1
// shall we use caching for top_score?
#define _CACHE_TOP_SCORE_ 1
#if ((_BFS_ > 0) + (_UCT_ > 0) + _UNIFORM_RANDOM_ + _REAL_RS_ + _REAL_PBFS_ > 1)
InvalidConfiguration;
#endif
#if (_PROBABILISTIC_UCT_ && !_UCT_)
InvalidConfiguration;
#endif
#if (_PERM_RSTEP_ && !_TYPE_RSTEP_)
InvalidConfiguration;
#endif
#if (_PERC_CHANGE_ == 50)
InvalidConfiguration;
#endif
#if (_PERC_STICKY_ && !_FOCUS_)
InvalidConfiguration;
#endif
#endif

959
src/tactic/sls/sls_engine.cpp
View file

File diff suppressed because it is too large Load diff

50
src/tactic/sls/sls_engine.h
View file

@ -37,17 +37,13 @@ public:
stopwatch m_stopwatch;
unsigned m_full_evals;
unsigned m_incr_evals;
unsigned m_moves, m_flips, m_incs, m_decs, m_invs, m_umins, m_mul2s, m_mul3s, m_div2s;
unsigned m_moves, m_flips, m_incs, m_decs, m_invs;
stats() :
m_restarts(0),
m_full_evals(0),
m_incr_evals(0),
m_moves(0),
m_umins(0),
m_mul2s(0),
m_mul3s(0),
m_div2s(0),
m_flips(0),
m_incs(0),
m_decs(0),
@ -75,13 +71,22 @@ protected:
sls_evaluator m_evaluator;
ptr_vector<expr> m_assertions;
unsigned m_restart_limit;
unsigned m_max_restarts;
unsigned m_plateau_limit;
unsigned m_walksat;
unsigned m_walksat_repick;
unsigned m_wp;
unsigned m_vns_mc;
unsigned m_vns_repick;
unsigned m_paws;
unsigned m_paws_sp;
unsigned m_restart_base;
unsigned m_restart_next;
unsigned m_restart_init;
unsigned m_early_prune;
unsigned m_random_offset;
unsigned m_rescore;
ptr_vector<mpz> m_old_values;
typedef enum { MV_FLIP = 0, MV_INC, MV_DEC, MV_INV, MV_UMIN, MV_MUL2, MV_MUL3, MV_DIV2 } move_type;
typedef enum { MV_FLIP = 0, MV_INC, MV_DEC, MV_INV } move_type;
public:
sls_engine(ast_manager & m, params_ref const & p);
@ -104,15 +109,11 @@ public:
bool full_eval(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);
void mk_div2(unsigned bv_sz, const mpz & old_value, mpz & result);
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 init_tracker(void);
lbool search(void);
lbool operator()();
@ -120,36 +121,25 @@ public:
protected:
void checkpoint();
double get_restart_armin(unsigned cnt_restarts);
bool what_if(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_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);
#if _EARLY_PRUNE_
double incremental_score_prune(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);
double find_best_move_mc(ptr_vector<func_decl> & to_evaluate, double score,
unsigned & best_const, mpz & best_value);
void mk_random_move(ptr_vector<func_decl> & unsat_constants);
void mk_random_move();
bool handle_plateau(void);
bool handle_plateau(double old_score);
//inline double get_restart_armin(unsigned cnt_restarts);
inline unsigned check_restart(unsigned curr_value);
};

141
src/tactic/sls/sls_evaluator.h
View file

@ -22,7 +22,6 @@ Notes:
#include"model_evaluator.h"
#include"sls_compilation_settings.h"
#include"sls_powers.h"
#include"sls_tracker.h"
@ -37,9 +36,7 @@ class sls_evaluator {
powers & m_powers;
expr_ref_buffer m_temp_exprs;
vector<ptr_vector<expr> > m_traversal_stack;
#if _EARLY_PRUNE_
vector<ptr_vector<expr> > m_traversal_stack_bool;
#endif
public:
sls_evaluator(ast_manager & m, bv_util & bvu, sls_tracker & t, unsynch_mpz_manager & mm, powers & p) :
@ -81,11 +78,7 @@ public:
case OP_AND: {
m_mpz_manager.set(result, m_one);
for (unsigned i = 0; i < n_args; i++)
#if _DIRTY_UP_
if (m_mpz_manager.neq(m_tracker.get_value(args[i]), result) && !m_tracker.is_top_expr(args[i])) {
#else
if (m_mpz_manager.neq(m_tracker.get_value(args[i]), result)) {
#endif
m_mpz_manager.set(result, m_zero);
break;
}
@ -93,11 +86,7 @@ public:
}
case OP_OR: {
for (unsigned i = 0; i < n_args; i++)
#if _DIRTY_UP_
if (m_mpz_manager.neq(m_tracker.get_value(args[i]), result) || m_tracker.is_top_expr(args[i])) {
#else
if (m_mpz_manager.neq(m_tracker.get_value(args[i]), result)) {
#endif
m_mpz_manager.set(result, m_one);
break;
}
@ -105,16 +94,9 @@ public:
}
case OP_NOT: {
SASSERT(n_args == 1);
#if _DIRTY_UP_
if (m_tracker.is_top_expr(args[0]))
m_mpz_manager.set(result, m_zero);
else
m_mpz_manager.set(result, (m_mpz_manager.is_zero(m_tracker.get_value(args[0]))) ? m_one : m_zero);
#else
const mpz & child = m_tracker.get_value(args[0]);
SASSERT(m_mpz_manager.is_one(child) || m_mpz_manager.is_zero(child));
m_mpz_manager.set(result, (m_mpz_manager.is_zero(child)) ? m_one : m_zero);
#endif
break;
}
case OP_EQ: {
@ -553,9 +535,7 @@ public:
expr_fast_mark1 visited;
mpz new_value;
#if _EARLY_PRUNE_ || _CACHE_TOP_SCORE_
double new_score;
#endif
SASSERT(cur_depth < m_traversal_stack.size());
while (cur_depth != static_cast<unsigned>(-1)) {
@ -567,37 +547,19 @@ public:
(*this)(to_app(cur), new_value);
m_tracker.set_value(cur, new_value);
#if _REAL_RS_ || _REAL_PBFS_
//if (!m_tracker.has_uplinks(cur))
new_score = m_tracker.score(cur);
if (m_tracker.is_top_expr(cur))
{
m_tracker.adapt_top_sum(cur, new_score, m_tracker.get_score(cur));
if (m_mpz_manager.eq(new_value,m_one))
m_tracker.make_assertion(cur);
else
m_tracker.break_assertion(cur);
}
#endif
#if _EARLY_PRUNE_
new_score = m_tracker.score(cur);
#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));
#endif
m_tracker.set_score(cur, new_score);
m_tracker.set_score_prune(cur, new_score);
#else
#if _CACHE_TOP_SCORE_
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.set_score(cur, new_score);
#else
m_tracker.set_score(cur, m_tracker.score(cur));
#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++) {
@ -624,9 +586,7 @@ public:
expr_fast_mark1 visited;
mpz new_value;
#if _EARLY_PRUNE_ || _CACHE_TOP_SCORE_
double new_score;
#endif
SASSERT(cur_depth < m_traversal_stack.size());
while (cur_depth != static_cast<unsigned>(-1)) {
@ -637,26 +597,10 @@ public:
(*this)(to_app(cur), new_value);
m_tracker.set_value(cur, new_value);
#if _EARLY_PRUNE_
new_score = m_tracker.score(cur);
#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));
#endif
m_tracker.adapt_top_sum(cur, new_score, m_tracker.get_score(cur));
m_tracker.set_score(cur, new_score);
m_tracker.set_score_prune(cur, new_score);
#else
#if _CACHE_TOP_SCORE_
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.set_score(cur, new_score);
#else
m_tracker.set_score(cur, m_tracker.score(cur));
#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++) {
@ -691,11 +635,7 @@ public:
m_traversal_stack[cur_depth].push_back(ep);
if (cur_depth > max_depth) max_depth = cur_depth;
}
#if _REAL_RS_ || _REAL_PBFS_
run_serious_update(max_depth);
#else
run_update(max_depth);
#endif
}
void update(func_decl * fd, const mpz & new_value) {
@ -720,7 +660,6 @@ public:
run_serious_update(cur_depth);
}
#if _EARLY_PRUNE_
unsigned run_update_bool_prune(unsigned cur_depth) {
expr_fast_mark1 visited;
@ -734,11 +673,9 @@ public:
expr * cur = cur_depth_exprs[i];
new_score = m_tracker.score(cur);
#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));
#endif
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);
@ -759,9 +696,6 @@ public:
}
}
}
else
{
}
}
cur_depth_exprs.reset();
@ -775,15 +709,11 @@ public:
for (unsigned i = 0; i < cur_size; i++) {
expr * cur = cur_depth_exprs[i];
#if _CACHE_TOP_SCORE_
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
if (m_tracker.has_uplinks(cur)) {
ptr_vector<expr> & ups = m_tracker.get_uplinks(cur);
for (unsigned j = 0; j < ups.size(); j++) {
@ -820,7 +750,7 @@ public:
(*this)(to_app(cur), new_value);
m_tracker.set_value(cur, new_value);
// should always have uplinks ...
// Andreas: Should actually always have uplinks ...
if (m_tracker.has_uplinks(cur)) {
ptr_vector<expr> & ups = m_tracker.get_uplinks(cur);
for (unsigned j = 0; j < ups.size(); j++) {
@ -864,63 +794,18 @@ public:
}
return run_update_bool_prune(cur_depth);
}
#endif
void randomize_local(ptr_vector<func_decl> & unsat_constants) {
// Randomize _all_ candidates:
//// bool did_something = false;
//for (unsigned i = 0; i < unsat_constants.size(); i++) {
// func_decl * fd = unsat_constants[i];
// mpz temp = m_tracker.get_random(fd->get_range());
// // if (m_mpz_manager.neq(temp, m_tracker.get_value(fd))) {
// // did_something = true;
// // }
// update(fd, temp);
// m_mpz_manager.del(temp);
//}
// Randomize _one_ candidate:
unsigned r = m_tracker.get_random_uint(16) % unsat_constants.size();
func_decl * fd = unsat_constants[r];
#if _PERC_CHANGE_
sort * srt = fd->get_range();
mpz temp;
if (m_manager.is_bool(srt))
m_mpz_manager.set(temp, (m_mpz_manager.is_zero(m_tracker.get_value(fd))) ? m_one : m_zero);
else
{
mpz temp2, mask;
unsigned bv_sz = m_bv_util.get_bv_size(srt);
m_mpz_manager.set(temp, m_tracker.get_value(fd));
for (unsigned bit = 0; bit < bv_sz; bit++)
if (m_tracker.get_random_uint(16) % 100 < _PERC_CHANGE_)
{
m_mpz_manager.set(mask, m_powers(bit));
m_mpz_manager.bitwise_xor(temp, mask, temp2);
m_mpz_manager.set(temp, temp2);
}
m_mpz_manager.del(mask);
m_mpz_manager.del(temp2);
}
#else
mpz temp = m_tracker.get_random(fd->get_range());
#endif
#if _REAL_RS_ || _REAL_PBFS_
serious_update(fd, temp);
#else
update(fd, temp);
#endif
m_mpz_manager.del(temp);
TRACE("sls", /*tout << "Randomization candidates: ";
for (unsigned i = 0; i < unsat_constants.size(); i++)
tout << unsat_constants[i]->get_name() << ", ";
tout << std::endl;*/
tout << "Randomization candidate: " << unsat_constants[r]->get_name() << std::endl;
TRACE("sls", tout << "Randomization candidate: " << unsat_constants[r]->get_name() << std::endl;
tout << "Locally randomized model: " << std::endl;
m_tracker.show_model(tout); );
@ -930,8 +815,8 @@ 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(ptr_vector<expr> const & as) {
randomize_local(m_tracker.get_unsat_constants(as));
}
};

24
src/tactic/sls/sls_params.pyg
View file

@ -2,7 +2,25 @@ def_module_params('sls',
export=True,
description='Experimental Stochastic Local Search Solver (for QFBV only).',
params=(max_memory_param(),
('restarts', UINT, UINT_MAX, '(max) number of restarts'),
('plateau_limit', UINT, 10, 'pleateau limit'),
('random_seed', UINT, 0, 'random seed')
('max_restarts', UINT, UINT_MAX, 'maximum number of restarts'),
('walksat', BOOL, 1, 'use walksat assertion selection (instead of gsat)'),
('walksat_ucb', BOOL, 1, 'use bandit heuristic for walksat assertion selection (instead of random)'),
('walksat_ucb_constant', DOUBLE, 20.0, 'the ucb constant c in the term score + c * f(touched)'),
('walksat_ucb_init', BOOL, 0, 'initialize total ucb touched to formula size'),
('walksat_ucb_forget', DOUBLE, 1.0, 'scale touched by this factor every base restart interval'),
('walksat_ucb_noise', DOUBLE, 0.0002, 'add noise 0 <= 256 * ucb_noise to ucb score for assertion selection'),
('walksat_repick', BOOL, 1, 'repick assertion if randomizing in local minima'),
('scale_unsat', DOUBLE, 0.5, 'scale score of unsat expressions by this factor'),
('paws_init', UINT, 40, 'initial/minimum assertion weights'),
('paws_sp', UINT, 52, 'smooth assertion weights with probability paws_sp / 1024'),
('wp', UINT, 100, 'random walk with probability wp / 1024'),
('vns_mc', UINT, 0, 'in local minima, try Monte Carlo sampling vns_mc many 2-bit-flips per bit'),
('vns_repick', BOOL, 0, 'in local minima, try picking a different assertion (only for walksat)'),
('restart_base', UINT, 100, 'base restart interval given by moves per run'),
('restart_init', BOOL, 0, 'initialize to 0 or random value (= 1) after restart'),
('early_prune', BOOL, 1, 'use early pruning for score prediction'),
('random_offset', BOOL, 1, 'use random offset for candidate evaluation'),
('rescore', BOOL, 1, 'rescore/normalize top-level score every base restart interval'),
('track_unsat', BOOL, 0, 'keep a list of unsat assertions as done in SAT - currently disabled internally'),
('random_seed', UINT, 0, 'random seed')
))

6
src/tactic/sls/sls_tactic.cpp
View file

@ -148,16 +148,12 @@ tactic * mk_preamble(ast_manager & m, params_ref const & p) {
using_params(mk_simplify_tactic(m), simp2_p)),
using_params(mk_simplify_tactic(m), hoist_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 ...
//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;
}

803
src/tactic/sls/sls_tracker.h
View file

File diff suppressed because it is too large Load diff

26
src/tactic/smtlogics/qfbv_tactic.cpp
View file

@ -94,6 +94,32 @@ 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