/*++ Copyright (c) 2013 Microsoft Corporation Module Name: opt_cmds.cpp Abstract: Commands for optimization benchmarks Author: Anh-Dung Phan (t-anphan) 2013-10-14 Notes: TODO: - Add appropriate statistics tracking to opt::context - Deal with push/pop (later) --*/ #include "opt_cmds.h" #include "cmd_context.h" #include "ast_pp.h" #include "opt_context.h" #include "cancel_eh.h" #include "scoped_ctrl_c.h" #include "scoped_timer.h" #include "parametric_cmd.h" #include "opt_params.hpp" #include "model_smt2_pp.h" static opt::context& get_opt(cmd_context& cmd, opt::context* opt) { if (opt) { return *opt; } if (!cmd.get_opt()) { cmd.set_opt(alloc(opt::context, cmd.m())); } return dynamic_cast(*cmd.get_opt()); } class assert_soft_cmd : public parametric_cmd { unsigned m_idx; expr* m_formula; opt::context* m_opt; public: assert_soft_cmd(opt::context* opt): parametric_cmd("assert-soft"), m_idx(0), m_formula(0), m_opt(opt) {} virtual ~assert_soft_cmd() { } virtual void reset(cmd_context & ctx) { m_idx = 0; m_formula = 0; } virtual char const * get_usage() const { return " [:weight ] [:id ]"; } virtual char const * get_main_descr() const { return "assert soft constraint with optional weight and identifier"; } // command invocation virtual void prepare(cmd_context & ctx) { reset(ctx); } virtual cmd_arg_kind next_arg_kind(cmd_context & ctx) const { if (m_idx == 0) return CPK_EXPR; return parametric_cmd::next_arg_kind(ctx); } virtual void init_pdescrs(cmd_context & ctx, param_descrs & p) { p.insert("weight", CPK_NUMERAL, "(default: 1) penalty of not satisfying constraint."); p.insert("id", CPK_SYMBOL, "(default: null) partition identifier for soft constraints."); } virtual void set_next_arg(cmd_context & ctx, expr * t) { SASSERT(m_idx == 0); if (!ctx.m().is_bool(t)) { throw cmd_exception("Invalid type for expression. Expected Boolean type."); } m_formula = t; ++m_idx; } virtual void failure_cleanup(cmd_context & ctx) { reset(ctx); } virtual void execute(cmd_context & ctx) { symbol w("weight"); rational weight = ps().get_rat(symbol("weight"), rational::one()); symbol id = ps().get_sym(symbol("id"), symbol::null); get_opt(ctx, m_opt).add_soft_constraint(m_formula, weight, id); reset(ctx); } virtual void finalize(cmd_context & ctx) { } }; class min_maximize_cmd : public cmd { bool m_is_max; opt::context* m_opt; public: min_maximize_cmd(bool is_max, opt::context* opt): cmd(is_max?"maximize":"minimize"), m_is_max(is_max), m_opt(opt) {} virtual void reset(cmd_context & ctx) { } virtual char const * get_usage() const { return ""; } virtual char const * get_descr(cmd_context & ctx) const { return "check sat modulo objective function";} virtual unsigned get_arity() const { return 1; } virtual void prepare(cmd_context & ctx) {} virtual cmd_arg_kind next_arg_kind(cmd_context & ctx) const { return CPK_EXPR; } virtual void set_next_arg(cmd_context & ctx, expr * t) { if (!is_app(t)) { throw cmd_exception("malformed objective term: it cannot be a quantifier or bound variable"); } get_opt(ctx, m_opt).add_objective(to_app(t), m_is_max); } virtual void failure_cleanup(cmd_context & ctx) { reset(ctx); } virtual void execute(cmd_context & ctx) { } }; void install_opt_cmds(cmd_context & ctx, opt::context* opt) { ctx.insert(alloc(assert_soft_cmd, opt)); ctx.insert(alloc(min_maximize_cmd, true, opt)); ctx.insert(alloc(min_maximize_cmd, false, opt)); }