2019-11-26 14:26:08 +00:00
|
|
|
//! Helper functions for working with def, which don't need to be a separate
|
|
|
|
//! query, but can't be computed directly from `*Data` (ie, which need a `db`).
|
2019-11-27 13:25:01 +00:00
|
|
|
use std::sync::Arc;
|
2019-11-26 14:26:08 +00:00
|
|
|
|
2019-11-26 13:59:24 +00:00
|
|
|
use hir_def::{
|
2019-11-27 13:25:01 +00:00
|
|
|
adt::VariantData,
|
2019-11-26 13:59:24 +00:00
|
|
|
db::DefDatabase,
|
|
|
|
resolver::{HasResolver, TypeNs},
|
|
|
|
type_ref::TypeRef,
|
2019-11-27 13:25:01 +00:00
|
|
|
TraitId, TypeAliasId, VariantId,
|
2019-11-26 13:59:24 +00:00
|
|
|
};
|
2019-11-26 14:42:21 +00:00
|
|
|
use hir_expand::name::{self, Name};
|
2019-11-26 13:59:24 +00:00
|
|
|
|
|
|
|
// FIXME: this is wrong, b/c it can't express `trait T: PartialEq<()>`.
|
|
|
|
// We should return a `TraitREf` here.
|
|
|
|
fn direct_super_traits(db: &impl DefDatabase, trait_: TraitId) -> Vec<TraitId> {
|
|
|
|
let resolver = trait_.resolver(db);
|
|
|
|
// returning the iterator directly doesn't easily work because of
|
|
|
|
// lifetime problems, but since there usually shouldn't be more than a
|
|
|
|
// few direct traits this should be fine (we could even use some kind of
|
|
|
|
// SmallVec if performance is a concern)
|
|
|
|
db.generic_params(trait_.into())
|
|
|
|
.where_predicates
|
|
|
|
.iter()
|
|
|
|
.filter_map(|pred| match &pred.type_ref {
|
|
|
|
TypeRef::Path(p) if p.as_ident() == Some(&name::SELF_TYPE) => pred.bound.as_path(),
|
|
|
|
_ => None,
|
|
|
|
})
|
|
|
|
.filter_map(|path| match resolver.resolve_path_in_type_ns_fully(db, path) {
|
|
|
|
Some(TypeNs::TraitId(t)) => Some(t),
|
|
|
|
_ => None,
|
|
|
|
})
|
|
|
|
.collect()
|
|
|
|
}
|
|
|
|
|
|
|
|
/// Returns an iterator over the whole super trait hierarchy (including the
|
|
|
|
/// trait itself).
|
2019-11-26 15:02:50 +00:00
|
|
|
pub(super) fn all_super_traits(db: &impl DefDatabase, trait_: TraitId) -> Vec<TraitId> {
|
2019-11-26 13:59:24 +00:00
|
|
|
// we need to take care a bit here to avoid infinite loops in case of cycles
|
|
|
|
// (i.e. if we have `trait A: B; trait B: A;`)
|
|
|
|
let mut result = vec![trait_];
|
|
|
|
let mut i = 0;
|
|
|
|
while i < result.len() {
|
|
|
|
let t = result[i];
|
|
|
|
// yeah this is quadratic, but trait hierarchies should be flat
|
|
|
|
// enough that this doesn't matter
|
|
|
|
for tt in direct_super_traits(db, t) {
|
|
|
|
if !result.contains(&tt) {
|
|
|
|
result.push(tt);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
i += 1;
|
|
|
|
}
|
|
|
|
result
|
|
|
|
}
|
2019-11-26 14:42:21 +00:00
|
|
|
|
2019-11-26 15:02:50 +00:00
|
|
|
pub(super) fn associated_type_by_name_including_super_traits(
|
2019-11-26 14:42:21 +00:00
|
|
|
db: &impl DefDatabase,
|
|
|
|
trait_: TraitId,
|
|
|
|
name: &Name,
|
|
|
|
) -> Option<TypeAliasId> {
|
|
|
|
all_super_traits(db, trait_)
|
|
|
|
.into_iter()
|
|
|
|
.find_map(|t| db.trait_data(t).associated_type_by_name(name))
|
|
|
|
}
|
2019-11-27 13:25:01 +00:00
|
|
|
|
|
|
|
pub(super) fn variant_data(db: &impl DefDatabase, var: VariantId) -> Arc<VariantData> {
|
|
|
|
match var {
|
|
|
|
VariantId::StructId(it) => db.struct_data(it).variant_data.clone(),
|
|
|
|
VariantId::UnionId(it) => db.union_data(it).variant_data.clone(),
|
|
|
|
VariantId::EnumVariantId(it) => {
|
|
|
|
db.enum_data(it.parent).variants[it.local_id].variant_data.clone()
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
2019-11-27 14:46:02 +00:00
|
|
|
|
|
|
|
/// Helper for mutating `Arc<[T]>` (i.e. `Arc::make_mut` for Arc slices).
|
|
|
|
/// The underlying values are cloned if there are other strong references.
|
|
|
|
pub(crate) fn make_mut_slice<T: Clone>(a: &mut Arc<[T]>) -> &mut [T] {
|
|
|
|
if Arc::get_mut(a).is_none() {
|
|
|
|
*a = a.iter().cloned().collect();
|
|
|
|
}
|
|
|
|
Arc::get_mut(a).unwrap()
|
|
|
|
}
|