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Centralize and document TRACE tags using X-macros (#7657)

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* 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).
This commit is contained in:
LeeYoungJoon 2025-05-28 22:31:25 +09:00 • committed by GitHub
parent d766292dab
commit 0a93ff515d
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583 changed files with 8698 additions and 7299 deletions
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16
src/math/lp/nex.h
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@ -233,7 +233,7 @@ public:
}
void get_powers_from_mul(std::unordered_map<lpvar, unsigned> & r) const {
TRACE("nla_cn_details", tout << "powers of " << *this << "\n";);
TRACE(nla_cn_details, tout << "powers of " << *this << "\n";);
r.clear();
for (const auto & c : *this) {
if (c.e()->is_var()) {
@ -242,7 +242,7 @@ public:
r[j] = c.pow();
}
}
TRACE("nla_cn_details", tout << "powers of " << *this << "\n"; print_vector(r, tout)<< "\n";);
TRACE(nla_cn_details, tout << "powers of " << *this << "\n"; print_vector(r, tout)<< "\n";);
}
unsigned get_degree() const override {
@ -288,18 +288,18 @@ public:
unsigned size() const override { return m_children.size(); }
bool is_linear() const override {
TRACE("nex_details", tout << *this << "\n";);
TRACE(nex_details, tout << *this << "\n";);
for (auto e : *this) {
if (!e->is_linear())
return false;
}
TRACE("nex_details", tout << "linear\n";);
TRACE(nex_details, tout << "linear\n";);
return true;
}
// we need a linear combination of at least two variables
bool is_a_linear_term() const {
TRACE("nex_details", tout << *this << "\n";);
TRACE(nex_details, tout << *this << "\n";);
unsigned number_of_non_scalars = 0;
for (auto e : *this) {
int d = e->get_degree();
@ -307,7 +307,7 @@ public:
if (d > 1) return false;
number_of_non_scalars++;
}
TRACE("nex_details", tout << (number_of_non_scalars > 1?"linear":"non-linear") << "\n";);
TRACE(nex_details, tout << (number_of_non_scalars > 1?"linear":"non-linear") << "\n";);
return number_of_non_scalars > 1;
}
@ -405,7 +405,7 @@ inline rational get_nex_val(const nex* e, std::function<rational (unsigned)> var
case expr_type::VAR:
return var_val(e->to_var().var());
default:
TRACE("nla_cn_details", tout << e->type() << "\n";);
TRACE(nla_cn_details, tout << e->type() << "\n";);
SASSERT(false);
return rational();
}
@ -430,7 +430,7 @@ inline std::unordered_set<lpvar> get_vars_of_expr(const nex *e ) {
r.insert(e->to_var().var());
return r;
default:
TRACE("nla_cn_details", tout << e->type() << "\n";);
TRACE(nla_cn_details, tout << e->type() << "\n";);
SASSERT(false);
return r;
}