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[Tolk] Refactor: get rid of split_vars, construct valid LET ops

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In FunC (and in Tolk before), tensor vars (actually occupying
several stack slots) were represented as a single var in terms
or IR vars (Ops):
> var a = (1, 2);
> LET (_i) = (_1, _2)

Now, every tensor of N stack slots is represented as N IR vars.
> LET (_i, _j) = (_1, _2)

This will give an ability to control access to parts of a tensor
when implementing `tensorVar.0` syntax.
This commit is contained in:
tolk-vm 2024-12-18 19:26:26 +03:00
parent 989629a832
commit 565bc59735
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GPG key ID: 7905DD7FE0324B12
17 changed files with 100 additions and 217 deletions
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34
tolk/analyzer.cpp
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@ -26,40 +26,6 @@ namespace tolk {
*
*/
int CodeBlob::split_vars(bool strict) {
int n = var_cnt, changes = 0;
for (int j = 0; j < var_cnt; j++) {
TmpVar& var = vars[j];
int width_j = var.v_type->calc_width_on_stack();
if (strict && width_j < 0) {
throw ParseError{var.where, "variable does not have fixed width, cannot manipulate it"};
}
if (width_j == 1) {
continue;
}
std::vector<TypePtr> comp_types;
var.v_type->extract_components(comp_types);
tolk_assert(width_j <= 254 && n <= 0x7fff00);
tolk_assert((unsigned)width_j == comp_types.size());
var.coord = ~((n << 8) + width_j);
for (int i = 0; i < width_j; i++) {
auto v = create_var(comp_types[i], vars[j].v_sym, vars[j].where);
tolk_assert(v == n + i);
tolk_assert(vars[v].idx == v);
vars[v].coord = ((int)j << 8) + i + 1;
}
n += width_j;
++changes;
}
if (!changes) {
return 0;
}
for (auto& op : ops) {
op.split_vars(vars);
}
return changes;
}
bool CodeBlob::compute_used_code_vars() {
VarDescrList empty_var_info;
return compute_used_code_vars(ops, empty_var_info, true);