mirror of
https://github.com/Z3Prover/z3
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make max-smt solvers generic
Signed-off-by: Nikolaj Bjorner <nbjorner@microsoft.com>
This commit is contained in:
parent
9f53a4aa18
commit
c6c7093a4c
4 changed files with 188 additions and 73 deletions
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@ -35,19 +35,20 @@ Notes:
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*/
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*/
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namespace opt {
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namespace opt {
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class fu_malik {
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struct fu_malik::imp {
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ast_manager& m;
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ast_manager& m;
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solver& s;
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solver& s;
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expr_ref_vector m_soft;
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expr_ref_vector m_soft;
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expr_ref_vector m_aux;
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expr_ref_vector m_aux;
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expr_ref_vector m_assignment;
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public:
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fu_malik(ast_manager& m, solver& s, expr_ref_vector const& soft):
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imp(ast_manager& m, solver& s, expr_ref_vector const& soft):
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m(m),
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m(m),
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s(s),
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s(s),
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m_soft(soft),
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m_soft(soft),
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m_aux(m)
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m_aux(m),
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m_assignment(m)
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{
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{
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for (unsigned i = 0; i < m_soft.size(); ++i) {
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for (unsigned i = 0; i < m_soft.size(); ++i) {
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m_aux.push_back(m.mk_fresh_const("p", m.mk_bool_sort()));
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m_aux.push_back(m.mk_fresh_const("p", m.mk_bool_sort()));
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@ -106,8 +107,6 @@ namespace opt {
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return l_false;
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return l_false;
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}
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}
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private:
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void assert_at_most_one(expr_ref_vector const& block_vars) {
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void assert_at_most_one(expr_ref_vector const& block_vars) {
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expr_ref has_one(m), has_zero(m), at_most_one(m);
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expr_ref has_one(m), has_zero(m), at_most_one(m);
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mk_at_most_one(block_vars.size(), block_vars.c_ptr(), has_one, has_zero);
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mk_at_most_one(block_vars.size(), block_vars.c_ptr(), has_one, has_zero);
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@ -131,46 +130,71 @@ namespace opt {
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}
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}
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}
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}
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};
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// TBD: bug when cancel flag is set, fu_malik returns is_sat == l_true instead of l_undef
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lbool operator()() {
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// TBD: bug when cancel flag is set, fu_malik returns is_sat == l_true instead of l_undef
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lbool is_sat = s.check_sat(0,0);
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if (!m_soft.empty() && is_sat == l_true) {
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lbool fu_malik_maxsat(solver& s, expr_ref_vector& soft_constraints) {
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opt_solver::scoped_push _sp(s);
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ast_manager& m = soft_constraints.get_manager();
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lbool is_sat = s.check_sat(0,0);
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if (!soft_constraints.empty() && is_sat == l_true) {
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s.push();
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fu_malik fm(m, s, soft_constraints);
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lbool is_sat = l_true;
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do {
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is_sat = fm.step();
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}
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while (is_sat == l_false);
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if (is_sat == l_true) {
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// Get a list of satisfying soft_constraints
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model_ref model;
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s.get_model(model);
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expr_ref_vector result(m);
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lbool is_sat = l_true;
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for (unsigned i = 0; i < soft_constraints.size(); ++i) {
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do {
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expr_ref val(m);
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is_sat = step();
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VERIFY(model->eval(soft_constraints[i].get(), val));
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}
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if (!m.is_false(val)) {
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while (is_sat == l_false);
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result.push_back(soft_constraints[i].get());
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if (is_sat == l_true) {
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// Get a list of satisfying m_soft
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model_ref model;
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s.get_model(model);
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m_assignment.reset();
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for (unsigned i = 0; i < m_soft.size(); ++i) {
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expr_ref val(m);
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VERIFY(model->eval(m_soft[i].get(), val));
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if (m.is_true(val)) {
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m_assignment.push_back(m_soft[i].get());
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}
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}
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}
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}
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}
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soft_constraints.reset();
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soft_constraints.append(result);
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}
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}
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s.pop(1);
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// We are done and soft_constraints has
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// been updated with the max-sat assignment.
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return is_sat;
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}
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}
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// We are done and soft_constraints has
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// been updated with the max-sat assignment.
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return is_sat;
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};
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fu_malik::fu_malik(ast_manager& m, solver& s, expr_ref_vector& soft_constraints) {
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m_imp = alloc(imp, m, s, soft_constraints);
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}
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}
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fu_malik::~fu_malik() {
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dealloc(m_imp);
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}
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lbool fu_malik::operator()() {
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return (*m_imp)();
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}
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rational fu_malik::get_lower() const {
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NOT_IMPLEMENTED_YET();
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return rational(0);
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}
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rational fu_malik::get_upper() const {
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NOT_IMPLEMENTED_YET();
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return rational(m_imp->m_soft.size());
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}
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rational fu_malik::get_value() const {
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NOT_IMPLEMENTED_YET();
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return rational(m_imp->m_assignment.size());
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}
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expr_ref_vector fu_malik::get_assignment() const {
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return m_imp->m_assignment;
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}
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void fu_malik::set_cancel(bool f) {
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// no-op
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}
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};
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};
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@ -20,6 +20,7 @@ Notes:
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#define _OPT_FU_MALIK_H_
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#define _OPT_FU_MALIK_H_
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#include "solver.h"
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#include "solver.h"
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#include "maxsmt.h"
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namespace opt {
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namespace opt {
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/**
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/**
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@ -27,8 +28,21 @@ namespace opt {
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Returns a maximal satisfying subset of soft_constraints
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Returns a maximal satisfying subset of soft_constraints
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that are still consistent with the solver state.
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that are still consistent with the solver state.
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*/
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*/
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class fu_malik : public maxsmt_solver {
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struct imp;
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imp* m_imp;
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public:
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fu_malik(ast_manager& m, solver& s, expr_ref_vector& soft_constraints);
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virtual ~fu_malik();
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virtual lbool operator()();
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virtual rational get_lower() const;
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virtual rational get_upper() const;
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virtual rational get_value() const;
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virtual expr_ref_vector get_assignment() const;
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virtual void set_cancel(bool f);
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};
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lbool fu_malik_maxsat(solver& s, expr_ref_vector& soft_constraints);
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};
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};
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#endif
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#endif
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@ -151,11 +151,9 @@ namespace smt {
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virtual final_check_status final_check_eh() {
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virtual final_check_status final_check_eh() {
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if (block(true)) {
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if (block(true)) {
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return FC_CONTINUE;
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}
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else {
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return FC_DONE;
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return FC_DONE;
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}
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}
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return FC_CONTINUE;
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}
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}
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virtual bool use_diseqs() const {
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virtual bool use_diseqs() const {
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@ -203,6 +201,9 @@ namespace smt {
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};
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};
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bool block(bool is_final) {
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bool block(bool is_final) {
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if (m_vars.empty()) {
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return true;
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}
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ast_manager& m = get_manager();
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ast_manager& m = get_manager();
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context& ctx = get_context();
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context& ctx = get_context();
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literal_vector lits;
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literal_vector lits;
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@ -218,6 +219,11 @@ namespace smt {
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lits.push_back(~literal(m_min_cost_bv));
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lits.push_back(~literal(m_min_cost_bv));
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}
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}
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IF_VERBOSE(2, verbose_stream() << "block: " << m_costs.size() << " " << lits.size() << " " << m_min_cost << "\n";);
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IF_VERBOSE(2, verbose_stream() << "block: " << m_costs.size() << " " << lits.size() << " " << m_min_cost << "\n";);
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IF_VERBOSE(2, for (unsigned i = 0; i < lits.size(); ++i) {
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verbose_stream() << lits[i] << " ";
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}
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verbose_stream() << "\n";
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);
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ctx.mk_th_axiom(get_id(), lits.size(), lits.c_ptr());
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ctx.mk_th_axiom(get_id(), lits.size(), lits.c_ptr());
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if (is_final && m_cost < m_min_cost) {
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if (is_final && m_cost < m_min_cost) {
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m_cost_save.reset();
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m_cost_save.reset();
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m_cost_save.append(m_costs);
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m_cost_save.append(m_costs);
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}
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}
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return !lits.empty();
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return false;
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}
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}
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};
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};
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return result;
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return result;
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}
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}
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struct wmaxsmt::imp {
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ast_manager& m;
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opt_solver& s;
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expr_ref_vector m_soft;
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expr_ref_vector m_assignment;
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rational m_lower;
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rational m_upper;
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rational m_value;
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vector<rational> m_weights;
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imp(ast_manager& m, opt_solver& s, expr_ref_vector& soft_constraints, vector<rational> const& weights):
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m(m), s(s), m_soft(soft_constraints), m_assignment(m), m_weights(weights)
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{}
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~imp() {}
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smt::theory_weighted_maxsat& ensure_theory() {
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smt::context& ctx = s.get_context();
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smt::theory_id th_id = m.get_family_id("weighted_maxsat");
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smt::theory* th = ctx.get_theory(th_id);
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smt::theory_weighted_maxsat* wth;
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if (th) {
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wth = dynamic_cast<smt::theory_weighted_maxsat*>(th);
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wth->reset();
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}
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else {
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wth = alloc(smt::theory_weighted_maxsat, m);
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ctx.register_plugin(wth);
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}
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return *wth;
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}
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/**
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/**
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Takes solver with hard constraints added.
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Takes solver with hard constraints added.
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Returns a maximal satisfying subset of weighted soft_constraints
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Returns a maximal satisfying subset of weighted soft_constraints
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that are still consistent with the solver state.
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that are still consistent with the solver state.
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*/
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*/
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lbool weighted_maxsat(opt_solver& s, expr_ref_vector& soft_constraints, vector<rational> const& weights) {
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ast_manager& m = soft_constraints.get_manager();
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smt::context& ctx = s.get_context();
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smt::theory_id th_id = m.get_family_id("weighted_maxsat");
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smt::theory* th = ctx.get_theory(th_id);
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smt::theory_weighted_maxsat* wth;
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if (th) {
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wth = dynamic_cast<smt::theory_weighted_maxsat*>(th);
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wth->reset();
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}
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else {
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wth = alloc(smt::theory_weighted_maxsat, m);
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ctx.register_plugin(wth);
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}
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opt_solver::scoped_push _s(s);
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lbool operator()() {
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for (unsigned i = 0; i < soft_constraints.size(); ++i) {
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smt::theory_weighted_maxsat& wth = ensure_theory();
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wth->assert_weighted(soft_constraints[i].get(), weights[i]);
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lbool result;
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}
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{
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#if 0
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opt_solver::scoped_push _s(s);
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lbool result = s.check_sat_core(0,0);
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for (unsigned i = 0; i < m_soft.size(); ++i) {
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wth.assert_weighted(m_soft[i].get(), m_weights[i]);
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}
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#if 1
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result = s.check_sat_core(0,0);
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#else
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#else
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lbool result = iterative_weighted_maxsat(s, *wth);
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result = iterative_weighted_maxsat(s, *wth);
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#endif
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#endif
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wth.get_assignment(m_assignment);
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if (!m_assignment.empty() && result == l_false) {
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result = l_true;
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}
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}
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wth.reset();
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return result;
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}
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};
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wth->get_assignment(soft_constraints);
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wmaxsmt::wmaxsmt(ast_manager& m, opt_solver& s, expr_ref_vector& soft_constraints, vector<rational> const& weights) {
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if (!soft_constraints.empty() && result == l_false) {
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m_imp = alloc(imp, m, s, soft_constraints, weights);
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result = l_true;
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}
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return result;
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}
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}
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wmaxsmt::~wmaxsmt() {
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dealloc(m_imp);
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}
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lbool wmaxsmt::operator()() {
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return (*m_imp)();
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}
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rational wmaxsmt::get_lower() const {
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NOT_IMPLEMENTED_YET();
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return m_imp->m_lower;
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}
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rational wmaxsmt::get_upper() const {
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NOT_IMPLEMENTED_YET();
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return m_imp->m_upper;
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}
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rational wmaxsmt::get_value() const {
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NOT_IMPLEMENTED_YET();
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return m_imp->m_value;
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}
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expr_ref_vector wmaxsmt::get_assignment() const {
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return m_imp->m_assignment;
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}
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void wmaxsmt::set_cancel(bool f) {
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// no-op
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}
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};
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};
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#define _OPT_WEIGHTED_MAX_SAT_H_
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#define _OPT_WEIGHTED_MAX_SAT_H_
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#include "opt_solver.h"
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#include "opt_solver.h"
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#include "maxsmt.h"
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namespace opt {
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namespace opt {
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/**
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/**
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@ -26,8 +27,19 @@ namespace opt {
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Returns a maximal satisfying subset of weighted soft_constraints
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Returns a maximal satisfying subset of weighted soft_constraints
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that are still consistent with the solver state.
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that are still consistent with the solver state.
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*/
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*/
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class wmaxsmt : public maxsmt_solver {
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lbool weighted_maxsat(opt_solver& s, expr_ref_vector& soft_constraints, vector<rational> const& weights);
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struct imp;
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imp* m_imp;
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public:
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wmaxsmt(ast_manager& m, opt_solver& s, expr_ref_vector& soft_constraints, vector<rational> const& weights);
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~wmaxsmt();
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virtual lbool operator()();
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virtual rational get_lower() const;
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virtual rational get_upper() const;
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virtual rational get_value() const;
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virtual expr_ref_vector get_assignment() const;
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virtual void set_cancel(bool f);
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};
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};
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};
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|
||||||
#endif
|
#endif
|
||||||
|
|
Loading…
Add table
Add a link
Reference in a new issue