mirror of
https://github.com/Z3Prover/z3
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217 lines
6.3 KiB
C++
217 lines
6.3 KiB
C++
/*++
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Copyright (c) 2019 Microsoft Corporation
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Module Name:
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maxlex.cpp
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Abstract:
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MaxLex solves weighted max-sat problems where weights impose lexicographic order.
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MaxSAT is particularly easy for this class:
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In order of highest weight, check if soft constraint can be satisfied.
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If so, assert it, otherwise assert the negation and record whether the soft
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constraint is true or false in the solution.
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Author:
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Nikolaj Bjorner (nbjorner) 2019-25-1
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--*/
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#include "ast/ast_pp.h"
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#include "opt/opt_context.h"
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#include "opt/maxsmt.h"
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#include "opt/maxlex.h"
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namespace opt {
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bool is_maxlex(weights_t & _ws) {
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vector<rational> ws(_ws);
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std::sort(ws.begin(), ws.end());
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ws.reverse();
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rational sum(0);
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for (rational const& w : ws) {
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sum += w;
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}
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for (rational const& w : ws) {
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if (sum > w + w) return false;
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sum -= w;
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}
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return true;
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}
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class maxlex : public maxsmt_solver_base {
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struct cmp_soft {
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bool operator()(soft const& s1, soft const& s2) const {
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return s1.weight > s2.weight;
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}
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};
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ast_manager& m;
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maxsat_context& m_c;
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bool update_assignment() {
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model_ref mdl;
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s().get_model(mdl);
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if (mdl) {
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m_model = mdl;
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m_c.model_updated(mdl.get());
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update_assignment(mdl);
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}
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return mdl.get() != nullptr;
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}
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void assert_value(soft& soft) {
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switch (soft.value) {
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case l_true:
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s().assert_expr(soft.s);
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break;
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case l_false:
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s().assert_expr(expr_ref(m.mk_not(soft.s), m));
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break;
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default:
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break;
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}
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}
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void update_assignment(model_ref & mdl) {
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mdl->set_model_completion(true);
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bool first_undef = true, second_undef = false;
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for (auto & soft : m_soft) {
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if (first_undef && soft.value != l_undef) {
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continue;
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}
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else if (first_undef) {
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SASSERT(soft.value == l_undef);
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soft.set_value(l_true);
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assert_value(soft);
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first_undef = false;
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}
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else if (soft.value != l_false) {
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lbool v = mdl->is_true(soft.s) ? l_true : l_undef;
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if (v == l_undef) {
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second_undef = true;
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}
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if (second_undef) {
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soft.set_value(v);
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}
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else {
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SASSERT(v == l_true);
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soft.set_value(v);
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assert_value(soft);
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}
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}
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}
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update_bounds();
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}
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void update_bounds() {
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m_lower.reset();
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m_upper.reset();
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for (auto & soft : m_soft) {
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switch (soft.value) {
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case l_undef:
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m_upper += soft.weight;
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break;
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case l_true:
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break;
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case l_false:
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m_lower += soft.weight;
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m_upper += soft.weight;
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break;
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}
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}
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trace_bounds("maxlex");
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}
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void init() {
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for (auto & soft : m_soft) {
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soft.set_value(l_undef);
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}
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model_ref mdl;
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s().get_model(mdl);
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if (mdl) {
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TRACE("opt", tout << *mdl << "\n";);
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for (auto & soft : m_soft) {
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if (!mdl->is_true(soft.s))
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break;
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soft.set_value(l_true);
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assert_value(soft);
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}
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update_assignment();
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}
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}
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//
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// include soft constraints that are known to be assignable to true after failed literal.
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//
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lbool maxlexN() {
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unsigned sz = m_soft.size();
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for (unsigned i = 0; i < sz; ++i) {
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auto& soft = m_soft[i];
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if (soft.value != l_undef) {
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continue;
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}
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expr_ref_vector asms(m);
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asms.push_back(soft.s);
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lbool is_sat = s().check_sat(asms);
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switch (is_sat) {
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case l_true:
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if (!update_assignment())
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return l_undef;
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SASSERT(soft.value == l_true || m.limit().is_canceled());
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break;
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case l_false:
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soft.set_value(l_false);
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assert_value(soft);
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for (unsigned j = i + 1; j < sz; ++j) {
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auto& soft2 = m_soft[j];
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if (soft2.value != l_true) {
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break;
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}
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assert_value(soft2);
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}
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update_bounds();
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break;
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case l_undef:
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return l_undef;
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}
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}
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return l_true;
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}
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public:
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maxlex(maxsat_context& c, unsigned id, weights_t & ws, expr_ref_vector const& s):
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maxsmt_solver_base(c, ws, s),
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m(c.get_manager()),
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m_c(c) {
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// ensure that soft constraints are sorted with largest soft constraints first.
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cmp_soft cmp;
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std::sort(m_soft.begin(), m_soft.end(), cmp);
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}
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lbool operator()() override {
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init();
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return maxlexN();
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}
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void commit_assignment() override {
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for (auto & soft : m_soft) {
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if (soft.value == l_undef) {
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return;
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}
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assert_value(soft);
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}
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}
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};
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maxsmt_solver_base* mk_maxlex(maxsat_context& c, unsigned id, weights_t & ws, expr_ref_vector const& soft) {
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return alloc(maxlex, c, id, ws, soft);
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}
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}
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