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https://github.com/Z3Prover/z3
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tidy & todo notes
Signed-off-by: Nikolaj Bjorner <nbjorner@microsoft.com>
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@ -37,13 +37,13 @@ namespace opt {
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class fu_malik {
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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_aux;
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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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fu_malik(ast_manager& m, solver& s, expr_ref_vector const& soft):
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m(m),
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s(s),
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m_soft(soft),
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@ -132,7 +132,7 @@ namespace opt {
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};
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lbool fu_malik_maxsat(::solver& s, expr_ref_vector& soft_constraints) {
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lbool fu_malik_maxsat(solver& s, expr_ref_vector& soft_constraints) {
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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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@ -28,7 +28,7 @@ namespace opt {
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that are still consistent with the solver state.
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*/
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lbool fu_malik_maxsat(::solver& s, expr_ref_vector& soft_constraints);
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lbool fu_malik_maxsat(solver& s, expr_ref_vector& soft_constraints);
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};
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#endif
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@ -14,12 +14,26 @@ Author:
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Notes:
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TODO:
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- integrate with parameters.
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Parameter infrastructure lets us control setttings, such as
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timeouts and control which backend optimization approach to
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use during experiments.
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- Display statistics properly on exit when configured to do so.
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Also add appropriate statistics tracking to opt::context
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- Deal with push/pop (later)
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- Revisit weighted constraints if we want to group them using identifiers.
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--*/
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#include "opt_cmds.h"
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#include "cmd_context.h"
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#include "ast_pp.h"
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#include "opt_context.h"
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#include "cancel_eh.h"
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#include "scoped_ctrl_c.h"
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class opt_context {
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@ -37,13 +51,13 @@ public:
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class assert_weighted_cmd : public cmd {
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opt_context* m_opt_ctx;
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unsigned m_idx;
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expr* m_formula;
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rational m_weight;
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opt_context& m_opt_ctx;
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unsigned m_idx;
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expr* m_formula;
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rational m_weight;
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public:
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assert_weighted_cmd(cmd_context& ctx, opt_context* opt_ctx):
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assert_weighted_cmd(cmd_context& ctx, opt_context& opt_ctx):
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cmd("assert-weighted"),
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m_opt_ctx(opt_ctx),
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m_idx(0),
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@ -52,7 +66,7 @@ public:
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{}
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virtual ~assert_weighted_cmd() {
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dealloc(m_opt_ctx);
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dealloc(&m_opt_ctx);
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}
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virtual void reset(cmd_context & ctx) {
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@ -94,7 +108,7 @@ public:
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}
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virtual void execute(cmd_context & ctx) {
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(*m_opt_ctx)().add_soft_constraint(m_formula, m_weight);
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m_opt_ctx().add_soft_constraint(m_formula, m_weight);
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reset(ctx);
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}
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@ -103,23 +117,18 @@ public:
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};
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// what amounts to check-sat, but uses the *single* objective function.
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// alternative is to register multiple objective functions using
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// minimize/maximize and then use check-sat or some variant of it
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// to do the feasibility check.
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class min_maximize_cmd : public cmd {
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bool m_is_max;
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opt_context* m_opt_ctx;
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bool m_is_max;
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opt_context& m_opt_ctx;
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public:
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min_maximize_cmd(cmd_context& ctx, opt_context* opt_ctx, bool is_max):
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min_maximize_cmd(cmd_context& ctx, opt_context& opt_ctx, bool is_max):
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cmd(is_max?"maximize":"minimize"),
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m_is_max(is_max),
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m_opt_ctx(opt_ctx)
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{}
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virtual void reset(cmd_context & ctx) {
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}
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virtual void reset(cmd_context & ctx) { }
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virtual char const * get_usage() const { return "<term>"; }
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virtual char const * get_descr(cmd_context & ctx) const { return "check sat modulo objective function";}
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@ -129,9 +138,7 @@ public:
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virtual cmd_arg_kind next_arg_kind(cmd_context & ctx) const { return CPK_EXPR; }
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virtual void set_next_arg(cmd_context & ctx, expr * t) {
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// TODO: type check objective term. It should pass basic sanity being
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// integer, real (, bit-vector) or other supported objective function type.
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(*m_opt_ctx)().add_objective(t, m_is_max);
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m_opt_ctx().add_objective(t, m_is_max);
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}
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virtual void failure_cleanup(cmd_context & ctx) {
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@ -140,14 +147,12 @@ public:
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virtual void execute(cmd_context & ctx) {
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}
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};
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class optimize_cmd : public cmd {
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opt_context* m_opt_ctx;
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opt_context& m_opt_ctx;
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public:
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optimize_cmd(opt_context* opt_ctx):
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optimize_cmd(opt_context& opt_ctx):
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cmd("optimize"),
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m_opt_ctx(opt_ctx)
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{}
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@ -159,25 +164,33 @@ public:
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}
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virtual void execute(cmd_context & ctx) {
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opt::context& opt = m_opt_ctx();
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ptr_vector<expr>::const_iterator it = ctx.begin_assertions();
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ptr_vector<expr>::const_iterator end = ctx.end_assertions();
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for (; it != end; ++it) {
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(*m_opt_ctx)().add_hard_constraint(*it);
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opt.add_hard_constraint(*it);
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}
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cancel_eh<opt::context> eh(opt);
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{
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scoped_ctrl_c ctrlc(eh);
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cmd_context::scoped_watch sw(ctx);
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try {
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opt.optimize();
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}
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catch (z3_error& ex) {
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ctx.regular_stream() << "(error: " << ex.msg() << "\")" << std::endl;
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}
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catch (z3_exception& ex) {
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ctx.regular_stream() << "(error: " << ex.msg() << "\")" << std::endl;
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}
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}
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(*m_opt_ctx)().optimize();
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}
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private:
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};
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void install_opt_cmds(cmd_context & ctx) {
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opt_context* opt_ctx = alloc(opt_context, ctx);
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ctx.insert(alloc(assert_weighted_cmd, ctx, opt_ctx));
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ctx.insert(alloc(min_maximize_cmd, ctx, opt_ctx, true));
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ctx.insert(alloc(min_maximize_cmd, ctx, opt_ctx, false));
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ctx.insert(alloc(optimize_cmd, opt_ctx));
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ctx.insert(alloc(assert_weighted_cmd, ctx, *opt_ctx));
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ctx.insert(alloc(min_maximize_cmd, ctx, *opt_ctx, true));
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ctx.insert(alloc(min_maximize_cmd, ctx, *opt_ctx, false));
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ctx.insert(alloc(optimize_cmd, *opt_ctx));
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}
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@ -14,6 +14,13 @@ Author:
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Notes:
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TODO:
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- there are race conditions for cancelation.
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- it would also be a good idea to maintain a volatile bool to track
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cancelation and then bail out of loops inside optimize() and derived
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functions.
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--*/
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#include "opt_context.h"
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@ -95,4 +102,16 @@ namespace opt {
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return true;
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}
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void context::cancel() {
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if (m_solver) {
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m_solver->cancel();
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}
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}
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void context::reset_cancel() {
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if (m_solver) {
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m_solver->reset_cancel();
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}
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}
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}
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@ -14,6 +14,13 @@ Author:
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Notes:
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TODO:
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- type check objective term and assertions. It should pass basic sanity being
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integer, real (, bit-vector) or other supported objective function type.
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- add appropriate statistics tracking to opt::context
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--*/
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#ifndef _OPT_CONTEXT_H_
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#define _OPT_CONTEXT_H_
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expr_ref_vector m_objectives;
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svector<bool> m_is_max;
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ref<::solver> m_solver;
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ref<solver> m_solver;
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public:
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context(ast_manager& m):
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m_hard_constraints.push_back(f);
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}
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void set_solver(::solver* s) {
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void set_solver(solver* s) {
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m_solver = s;
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}
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void optimize();
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void cancel();
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void reset_cancel();
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private:
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bool is_maxsat_problem() const;
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@ -28,11 +28,11 @@ namespace smt {
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public:
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virtual bool maximize(theory_var v) { UNREACHABLE(); return false; };
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virtual theory_var add_objective(app* term) { UNREACHABLE(); return null_theory_var; }
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virtual inf_eps_rational<rational> get_objective_value(theory_var v) {
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virtual inf_eps_rational<rational> get_objective_value(theory_var v) {
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UNREACHABLE();
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inf_eps_rational<rational> r(rational(1), rational(0));
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return r;
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}
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}
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};
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}
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