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#![feature(const_fn)] #![feature(specialization)] use lark_collections::{IndexVec, U32Index}; lark_collections::index_type! { pub struct InferVar { debug_name["?"], .. } } lark_debug_with::debug_fallback_impl!(InferVar); /// Each "inferable" value represents something which can be inferred. /// For example, the `crate::ty::Perm` and `crate::ty::Base` types implement /// inferable. /// /// Each inferable value either corresponds to "known data" or else to an /// inference variable (this variable may itself be unified etc). The Inferable /// trait lets us check whether this value represents an inference variable /// or not (via `as_infer_var`) and also to extract the known data (via `assert_known`). pub trait Inferable<Interners>: U32Index { type KnownData; type Data; /// Check if this is an inference variable and return the inference /// index if so. fn as_infer_var(self, interners: &Interners) -> Option<InferVar>; /// Create an inferable representing the inference variable `var`. fn from_infer_var(var: InferVar, interners: &Interners) -> Self; /// Asserts that this is not an inference variable and returns the /// "known data" that it represents. fn assert_known(self, interners: &Interners) -> Self::KnownData; } #[derive(Clone)] pub struct UnificationTable<Interners, Cause> { interners: Interners, /// Stores the union-find data for each inference variable. /// Used for most efficient lookup. infers: IndexVec<InferVar, InferData>, /// Stores a more naive trace of which variables were unified /// with which. Used for error reporting but makes no effort /// to form a balanced tree. trace: IndexVec<InferVar, Option<UnificationTrace<Cause>>>, /// Each time an inference variable is bound, we push it into /// this vector. External watchers can query this list and use it /// to track what happened and trigger work. events: Vec<InferVar>, } #[derive(Clone, Debug)] struct UnificationTrace<Cause> { /// Why did this unification happen? cause: Cause, /// Were we unified with another unification variable? /// (Otherwise, we must have been unified with a root value) other_variable: Option<InferVar>, } #[derive(Copy, Clone)] enum InferData { /// A root variable that is not yet bound to any value. Unbound(Rank), /// A variable that is bound to `Value`. Value(Value), /// A leaf variable that is redirected to another variable /// (which may or may not still be the root). This value will /// eventually get overwritten with `Value` once the value /// is known. Redirect(InferVar), } /// Rank tracks the maximum height of the unification tree underneath /// an unbound variable. This is used to maintain a balanced tree /// during unification. #[derive(Copy, Clone, Default, Debug, PartialEq, Eq, PartialOrd, Ord)] struct Rank { value: u32, } impl Rank { fn next(self) -> Rank { Rank { value: self.value + 1, } } } /// Represents some kind of inferable that has a known value. /// The precise type of the inferable has been stripped; it is known /// in context based on the type of the key that is used to access it. #[derive(Copy, Clone, Default, Debug, PartialEq, Eq, PartialOrd, Ord)] struct Value { untyped_index: u32, } impl Value { /// Create a `Value` from an `Inferable` (erasing its origin type). fn cast_from(value: impl U32Index) -> Value { Value { untyped_index: value.as_u32(), } } /// Cast `Value` into an instance of the inferable type that it came from. /// This is an unchecked cast; it relies on the fact that we never unify /// values of type `K` with a value of some other type `K'`. So if we lookup /// an inference variable of type `K` and find it was bound to some known value, /// that value must originally have had type `K`. fn cast_to<K: U32Index>(self) -> K { K::from_u32(self.untyped_index) } } #[derive(Copy, Clone, Debug)] enum RootData { Rank(Rank), Value(Value), } impl RootData { fn value(self) -> Option<Value> { match self { RootData::Rank(_) => None, RootData::Value(v) => Some(v), } } fn rank(self) -> Option<Rank> { match self { RootData::Rank(r) => Some(r), RootData::Value(_) => None, } } } impl<Interners, Cause> UnificationTable<Interners, Cause> { pub fn new(interners: Interners) -> Self { Self { interners: interners, infers: IndexVec::new(), trace: IndexVec::new(), events: Vec::new(), } } /// `value` to a known-value, if possible. Else, it must be an inference variable, /// so return that `InferVar`. pub fn shallow_resolve_data<K>(&mut self, value: K) -> Result<K::KnownData, InferVar> where K: Inferable<Interners>, { if let Some(var) = value.as_infer_var(&self.interners) { if let Some(value) = self.probe(var) { let known_key = value.cast_to::<K>(); Ok(known_key.assert_known(&self.interners)) } else { Err(var) } } else { Ok(value.assert_known(&self.interners)) } } /// True if `index` has been assigned to a value, false otherwise. pub fn is_known(&mut self, index: impl Inferable<Interners>) -> bool { self.shallow_resolve_data(index).is_ok() } /// True if `var` has been assigned to a value, false otherwise. pub fn var_is_known(&mut self, var: InferVar) -> bool { self.probe(var).is_some() } /// Creates a new inferable thing. pub fn new_inferable<K>(&mut self) -> K where K: Inferable<Interners>, { let var = self.new_infer_var(); K::from_infer_var(var, &self.interners) } /// Read out all the variables that may have been unified /// since the last invocation to `drain_events`. pub fn drain_events(&mut self) -> impl Iterator<Item = InferVar> + '_ { self.events.drain(..) } /// Tries to unify `key1` and `key2` -- if one or both is an unbound inference variable, /// we will record the connection between them. But if they both represent known values, /// then we will return the two known values so you can recursively unify those. pub fn unify<K>( &mut self, cause: Cause, key1: K, key2: K, ) -> Result<(), (K::KnownData, K::KnownData)> where K: Inferable<Interners>, { match ( self.shallow_resolve_data(key1), self.shallow_resolve_data(key2), ) { (Ok(kv1), Ok(kv2)) => Err((kv1, kv2)), (Err(var1), Err(var2)) => { self.unify_unbound_vars(cause, var1, var2); Ok(()) } (Err(var1), Ok(_)) => { self.bind_unbound_var_to_value(cause, var1, Value::cast_from(key2)); Ok(()) } (Ok(_), Err(var2)) => { self.bind_unbound_var_to_value(cause, var2, Value::cast_from(key1)); Ok(()) } } } /// Creates a new inference variable. fn new_infer_var(&mut self) -> InferVar { self.trace.push(None); self.infers.push(InferData::Unbound(Rank::default())) } /// Finds the "root index" associated with `index1`. /// In the "union-find" algorithm this is called "find". fn find(&mut self, index1: InferVar) -> (InferVar, RootData) { match self.infers[index1] { InferData::Unbound(rank) => (index1, RootData::Rank(rank)), InferData::Value(value1) => (index1, RootData::Value(value1)), InferData::Redirect(index2) => { let (index3, value3) = self.find(index2); if index2 != index3 { // This is the "path compression" step of union-find:InferData // basically, if we were redireced to X, and X was later // redirected to Y, then we should redirect ourselves to Y too. match value3 { RootData::Value(v) => self.infers[index1] = InferData::Value(v), RootData::Rank(_) => self.infers[index1] = InferData::Redirect(index3), } } (index3, value3) } } } /// Checks whether `index` has been assigned to a value yet. /// If so, returns it. fn probe(&mut self, index: InferVar) -> Option<Value> { let (_root, root_data) = self.find(index); root_data.value() } /// Given two unbound inference variables, unify them for evermore. It is best /// **not** to use the variables that result from (e.g.) a `find` operation, /// but rather the variables that "arose naturally" when doing inference, because /// it helps when issuing blame annotations later. fn unify_unbound_vars(&mut self, cause: Cause, index1: InferVar, index2: InferVar) { let (root1, root_data1) = self.find(index1); let (root2, root_data2) = self.find(index2); let rank1 = root_data1 .rank() .unwrap_or_else(|| panic!("index1 ({:?}) was bound", index1)); let rank2 = root_data2 .rank() .unwrap_or_else(|| panic!("index2 ({:?}) was bound", index2)); if rank1 < rank2 { self.redirect(cause, index2, root2, rank2, index1, root1, rank1); } else { self.redirect(cause, index1, root1, rank1, index2, root2, rank2); } } /// Binds `unbound_var`, which must not yet be bound to anything, to a value. fn bind_unbound_var_to_value(&mut self, cause: Cause, unbound_var: InferVar, value: Value) { debug_assert!(self.probe(unbound_var).is_none()); let (root_unbound_var, _) = self.find(unbound_var); self.infers[root_unbound_var] = InferData::Value(value); self.trace[root_unbound_var] = Some(UnificationTrace { cause, other_variable: None, }); self.events.push(unbound_var); } /// Redirects the (root) variable `root_from` to another root variable (`root_to`). /// Adjusts `root_to`'s rank to indicate its new depth. fn redirect( &mut self, cause: Cause, index_from: InferVar, root_from: InferVar, rank_from: Rank, index_to: InferVar, root_to: InferVar, rank_to: Rank, ) { assert!(self.trace[index_from].is_none()); self.infers[root_from] = InferData::Redirect(root_to); self.trace[root_from] = Some(UnificationTrace { cause, other_variable: Some(index_to), }); // Before we had two trees with depth `rank_from` and `rank_to`. // We are making `rank_from` a child of the other tree, so that has depth `rank_from + 1`. // This may or may not change the depth of the new root (depending on what its rank was before). let rank_max = std::cmp::max(rank_from.next(), rank_to); self.infers[root_to] = InferData::Unbound(rank_max); self.events.push(root_from); } }