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z3/src/muz/transforms/dl_mk_scale.cpp
LeeYoungJoon 0a93ff515d
Centralize and document TRACE tags using X-macros (#7657)
* Introduce X-macro-based trace tag definition
- Created trace_tags.def to centralize TRACE tag definitions
- Each tag includes a symbolic name and description
- Set up enum class TraceTag for type-safe usage in TRACE macros

* Add script to generate Markdown documentation from trace_tags.def
- Python script parses trace_tags.def and outputs trace_tags.md

* Refactor TRACE_NEW to prepend TraceTag and pass enum to is_trace_enabled

* trace: improve trace tag handling system with hierarchical tagging

- Introduce hierarchical tag-class structure: enabling a tag class activates all child tags
- Unify TRACE, STRACE, SCTRACE, and CTRACE under enum TraceTag
- Implement initial version of trace_tag.def using X(tag, tag_class, description)
  (class names and descriptions to be refined in a future update)

* trace: replace all string-based TRACE tags with enum TraceTag
- Migrated all TRACE, STRACE, SCTRACE, and CTRACE macros to use enum TraceTag values instead of raw string literals

* trace : add cstring header

* trace : Add Markdown documentation generation from trace_tags.def via mk_api_doc.py

* trace : rename macro parameter 'class' to 'tag_class' and remove Unicode comment in trace_tags.h.

* trace : Add TODO comment for future implementation of tag_class activation

* trace : Disable code related to tag_class until implementation is ready (#7663).
2025-05-28 14:31:25 +01:00

238 lines
7.7 KiB
C++

/*++
Copyright (c) 2013 Microsoft Corporation
Module Name:
dl_mk_scale.cpp
Abstract:
Author:
Nikolaj Bjorner (nbjorner) 2013-08-19
Revision History:
--*/
#include "muz/transforms/dl_mk_scale.h"
#include "muz/base/dl_context.h"
#include "muz/base/fp_params.hpp"
namespace datalog {
class mk_scale::scale_model_converter : public model_converter {
ast_manager& m;
func_decl_ref_vector m_trail;
arith_util a;
obj_map<func_decl, func_decl*> m_new2old;
public:
scale_model_converter(ast_manager& m): m(m), m_trail(m), a(m) {}
void add_new2old(func_decl* new_f, func_decl* old_f) {
m_trail.push_back(old_f);
m_trail.push_back(new_f);
m_new2old.insert(new_f, old_f);
}
void get_units(obj_map<expr, bool>& units) override { units.reset(); }
void operator()(model_ref& md) override {
model_ref old_model = alloc(model, m);
for (auto const& kv : m_new2old) {
func_decl* old_p = kv.m_value;
func_decl* new_p = kv.m_key;
func_interp* new_fi = md->get_func_interp(new_p);
expr_ref_vector subst(m);
var_subst vs(m, false);
expr_ref tmp(m);
if (!new_fi) {
TRACE(dl, tout << new_p->get_name() << " has no value in the current model\n";);
continue;
}
for (unsigned i = 0; i < old_p->get_arity(); ++i) {
subst.push_back(m.mk_var(i, old_p->get_domain(i)));
}
subst.push_back(a.mk_numeral(rational(1), a.mk_real()));
SASSERT(!new_fi->is_partial() && new_fi->num_entries() == 0);
tmp = vs(new_fi->get_else(), subst.size(), subst.data());
if (old_p->get_arity() == 0) {
old_model->register_decl(old_p, tmp);
}
else {
func_interp* old_fi = alloc(func_interp, m, old_p->get_arity());
// Hedge that we don't have to handle the general case for models produced
// by Horn clause solvers.
old_fi->set_else(tmp);
old_model->register_decl(old_p, old_fi);
}
}
// register values that have not been scaled.
unsigned sz = md->get_num_constants();
for (unsigned i = 0; i < sz; ++i) {
func_decl* c = md->get_constant(i);
if (!m_new2old.contains(c)) {
old_model->register_decl(c, md->get_const_interp(c));
}
}
sz = md->get_num_functions();
for (unsigned i = 0; i < sz; ++i) {
func_decl* f = md->get_function(i);
if (!m_new2old.contains(f)) {
func_interp* fi = md->get_func_interp(f);
old_model->register_decl(f, fi->copy());
}
}
md = old_model;
//TRACE(dl, model_smt2_pp(tout, m, *md, 0); );
}
model_converter * translate(ast_translation & translator) override {
UNREACHABLE();
return nullptr;
}
void display(std::ostream& out) override { out << "(scale-model-converter)\n"; }
};
mk_scale::mk_scale(context & ctx, unsigned priority):
plugin(priority),
m(ctx.get_manager()),
m_ctx(ctx),
a(m),
m_trail(m),
m_eqs(m) {
}
rule_set * mk_scale::operator()(rule_set const & source) {
if (!m_ctx.scale()) {
return nullptr;
}
rule_manager& rm = source.get_rule_manager();
scoped_ptr<rule_set> result = alloc(rule_set, m_ctx);
unsigned sz = source.get_num_rules();
rule_ref new_rule(rm);
app_ref_vector tail(m);
app_ref head(m);
bool_vector neg;
ptr_vector<sort> vars;
ref<scale_model_converter> smc;
if (m_ctx.get_model_converter()) {
smc = alloc(scale_model_converter, m);
}
m_mc = smc.get();
for (unsigned i = 0; i < sz; ++i) {
rule & r = *source.get_rule(i);
unsigned utsz = r.get_uninterpreted_tail_size();
unsigned tsz = r.get_tail_size();
tail.reset();
vars.reset();
m_cache.reset();
m_trail.reset();
m_eqs.reset();
r.get_vars(m, vars);
unsigned num_vars = vars.size();
for (unsigned j = 0; j < utsz; ++j) {
tail.push_back(mk_pred(num_vars, r.get_tail(j)));
}
for (unsigned j = utsz; j < tsz; ++j) {
tail.push_back(mk_constraint(num_vars, r.get_tail(j)));
}
app_ref new_pred = mk_pred(num_vars, r.get_head());
tail.append(m_eqs);
tail.push_back(a.mk_gt(m.mk_var(num_vars, a.mk_real()), a.mk_numeral(rational(0), false)));
neg.resize(tail.size(), false);
new_rule = rm.mk(new_pred, tail.size(), tail.data(), neg.data(), r.name(), true);
result->add_rule(new_rule);
if (source.is_output_predicate(r.get_decl())) {
result->set_output_predicate(new_rule->get_decl());
}
}
TRACE(dl, result->display(tout););
if (m_mc) {
m_ctx.add_model_converter(m_mc);
}
m_trail.reset();
m_cache.reset();
return result.detach();
}
app_ref mk_scale::mk_pred(unsigned sigma_idx, app* q) {
func_decl* f = q->get_decl();
ptr_vector<sort> domain(f->get_arity(), f->get_domain());
domain.push_back(a.mk_real());
func_decl_ref g(m);
g = m.mk_func_decl(f->get_name(), f->get_arity() + 1, domain.data(), f->get_range());
expr_ref_vector args(m);
for (unsigned i = 0; i < q->get_num_args(); ++i) {
expr* arg = q->get_arg(i);
rational val;
if (a.is_numeral(arg, val)) {
if (val.is_zero()) {
// arg is unchanged.
}
else if (val.is_one()) {
arg = m.mk_var(sigma_idx, a.mk_real());
}
else {
// create a fresh variable 'v', add 'v == sigma*arg'
expr* v = m.mk_var(sigma_idx + 1 + m_eqs.size(), a.mk_real());
m_eqs.push_back(m.mk_eq(v, a.mk_mul(arg, m.mk_var(sigma_idx, a.mk_real()))));
arg = v;
}
}
args.push_back(arg);
}
args.push_back(m.mk_var(sigma_idx, a.mk_real()));
m_ctx.register_predicate(g, false);
if (m_mc) {
m_mc->add_new2old(g, f);
}
return app_ref(m.mk_app(g, q->get_num_args() + 1, args.data()), m);
}
app_ref mk_scale::mk_constraint(unsigned sigma_idx, app* q) {
expr* r = linearize(sigma_idx, q);
SASSERT(is_app(r));
return app_ref(to_app(r), m);
}
expr* mk_scale::linearize(unsigned sigma_idx, expr* e) {
expr* r;
if (m_cache.find(e, r)) {
return r;
}
if (!is_app(e)) {
return e;
}
expr_ref result(m);
app* ap = to_app(e);
if (ap->get_family_id() == m.get_basic_family_id() ||
a.is_add(e) || a.is_sub(e) ||
a.is_le(e) || a.is_ge(e) ||
a.is_lt(e) || a.is_gt(e)) {
expr_ref_vector args(m);
for (unsigned i = 0; i < ap->get_num_args(); ++i) {
args.push_back(linearize(sigma_idx, ap->get_arg(i)));
}
result = m.mk_app(ap->get_decl(), args.size(), args.data());
}
else if (a.is_numeral(e)) {
result = a.mk_mul(m.mk_var(sigma_idx, a.mk_real()), e);
}
else {
result = e;
}
m_trail.push_back(result);
m_cache.insert(e, result);
return result;
}
};