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use std::ops::Range;
use rustc_data_structures::{snapshot_vec as sv, unify as ut};
use rustc_middle::infer::unify_key::{ConstVariableValue, ConstVidKey};
use rustc_middle::ty::fold::{TypeFoldable, TypeFolder, TypeSuperFoldable};
use rustc_middle::ty::{self, ConstVid, FloatVid, IntVid, RegionVid, Ty, TyCtxt, TyVid};
use tracing::instrument;
use ut::UnifyKey;
use crate::infer::type_variable::TypeVariableOrigin;
use crate::infer::{ConstVariableOrigin, InferCtxt, RegionVariableOrigin, UnificationTable};
fn vars_since_snapshot<'tcx, T>(
table: &UnificationTable<'_, 'tcx, T>,
snapshot_var_len: usize,
) -> Range<T>
where
T: UnifyKey,
super::UndoLog<'tcx>: From<sv::UndoLog<ut::Delegate<T>>>,
{
T::from_index(snapshot_var_len as u32)..T::from_index(table.len() as u32)
}
fn const_vars_since_snapshot<'tcx>(
table: &mut UnificationTable<'_, 'tcx, ConstVidKey<'tcx>>,
snapshot_var_len: usize,
) -> (Range<ConstVid>, Vec<ConstVariableOrigin>) {
let range = vars_since_snapshot(table, snapshot_var_len);
(
range.start.vid..range.end.vid,
(range.start.index()..range.end.index())
.map(|index| match table.probe_value(ConstVid::from_u32(index)) {
ConstVariableValue::Known { value: _ } => {
ConstVariableOrigin { param_def_id: None, span: rustc_span::DUMMY_SP }
}
ConstVariableValue::Unknown { origin, universe: _ } => origin,
})
.collect(),
)
}
struct VariableLengths {
type_var_len: usize,
const_var_len: usize,
int_var_len: usize,
float_var_len: usize,
region_constraints_len: usize,
}
impl<'tcx> InferCtxt<'tcx> {
fn variable_lengths(&self) -> VariableLengths {
let mut inner = self.inner.borrow_mut();
VariableLengths {
type_var_len: inner.type_variables().num_vars(),
const_var_len: inner.const_unification_table().len(),
int_var_len: inner.int_unification_table().len(),
float_var_len: inner.float_unification_table().len(),
region_constraints_len: inner.unwrap_region_constraints().num_region_vars(),
}
}
/// This rather funky routine is used while processing expected
/// types. What happens here is that we want to propagate a
/// coercion through the return type of a fn to its
/// argument. Consider the type of `Option::Some`, which is
/// basically `for<T> fn(T) -> Option<T>`. So if we have an
/// expression `Some(&[1, 2, 3])`, and that has the expected type
/// `Option<&[u32]>`, we would like to type check `&[1, 2, 3]`
/// with the expectation of `&[u32]`. This will cause us to coerce
/// from `&[u32; 3]` to `&[u32]` and make the users life more
/// pleasant.
///
/// The way we do this is using `fudge_inference_if_ok`. What the
/// routine actually does is to start a snapshot and execute the
/// closure `f`. In our example above, what this closure will do
/// is to unify the expectation (`Option<&[u32]>`) with the actual
/// return type (`Option<?T>`, where `?T` represents the variable
/// instantiated for `T`). This will cause `?T` to be unified
/// with `&?a [u32]`, where `?a` is a fresh lifetime variable. The
/// input type (`?T`) is then returned by `f()`.
///
/// At this point, `fudge_inference_if_ok` will normalize all type
/// variables, converting `?T` to `&?a [u32]` and end the
/// snapshot. The problem is that we can't just return this type
/// out, because it references the region variable `?a`, and that
/// region variable was popped when we popped the snapshot.
///
/// So what we do is to keep a list (`region_vars`, in the code below)
/// of region variables created during the snapshot (here, `?a`). We
/// fold the return value and replace any such regions with a *new*
/// region variable (e.g., `?b`) and return the result (`&?b [u32]`).
/// This can then be used as the expectation for the fn argument.
///
/// The important point here is that, for soundness purposes, the
/// regions in question are not particularly important. We will
/// use the expected types to guide coercions, but we will still
/// type-check the resulting types from those coercions against
/// the actual types (`?T`, `Option<?T>`) -- and remember that
/// after the snapshot is popped, the variable `?T` is no longer
/// unified.
#[instrument(skip(self, f), level = "debug")]
pub fn fudge_inference_if_ok<T, E, F>(&self, f: F) -> Result<T, E>
where
F: FnOnce() -> Result<T, E>,
T: TypeFoldable<TyCtxt<'tcx>>,
{
let variable_lengths = self.variable_lengths();
let (mut fudger, value) = self.probe(|_| {
match f() {
Ok(value) => {
let value = self.resolve_vars_if_possible(value);
// At this point, `value` could in principle refer
// to inference variables that have been created during
// the snapshot. Once we exit `probe()`, those are
// going to be popped, so we will have to
// eliminate any references to them.
let mut inner = self.inner.borrow_mut();
let type_vars =
inner.type_variables().vars_since_snapshot(variable_lengths.type_var_len);
let int_vars = vars_since_snapshot(
&inner.int_unification_table(),
variable_lengths.int_var_len,
);
let float_vars = vars_since_snapshot(
&inner.float_unification_table(),
variable_lengths.float_var_len,
);
let region_vars = inner
.unwrap_region_constraints()
.vars_since_snapshot(variable_lengths.region_constraints_len);
let const_vars = const_vars_since_snapshot(
&mut inner.const_unification_table(),
variable_lengths.const_var_len,
);
let fudger = InferenceFudger {
infcx: self,
type_vars,
int_vars,
float_vars,
region_vars,
const_vars,
};
Ok((fudger, value))
}
Err(e) => Err(e),
}
})?;
// At this point, we need to replace any of the now-popped
// type/region variables that appear in `value` with a fresh
// variable of the appropriate kind. We can't do this during
// the probe because they would just get popped then too. =)
// Micro-optimization: if no variables have been created, then
// `value` can't refer to any of them. =) So we can just return it.
if fudger.type_vars.0.is_empty()
&& fudger.int_vars.is_empty()
&& fudger.float_vars.is_empty()
&& fudger.region_vars.0.is_empty()
&& fudger.const_vars.0.is_empty()
{
Ok(value)
} else {
Ok(value.fold_with(&mut fudger))
}
}
}
struct InferenceFudger<'a, 'tcx> {
infcx: &'a InferCtxt<'tcx>,
type_vars: (Range<TyVid>, Vec<TypeVariableOrigin>),
int_vars: Range<IntVid>,
float_vars: Range<FloatVid>,
region_vars: (Range<RegionVid>, Vec<RegionVariableOrigin>),
const_vars: (Range<ConstVid>, Vec<ConstVariableOrigin>),
}
impl<'a, 'tcx> TypeFolder<TyCtxt<'tcx>> for InferenceFudger<'a, 'tcx> {
fn cx(&self) -> TyCtxt<'tcx> {
self.infcx.tcx
}
fn fold_ty(&mut self, ty: Ty<'tcx>) -> Ty<'tcx> {
match *ty.kind() {
ty::Infer(ty::InferTy::TyVar(vid)) => {
if self.type_vars.0.contains(&vid) {
// This variable was created during the fudging.
// Recreate it with a fresh variable here.
let idx = vid.as_usize() - self.type_vars.0.start.as_usize();
let origin = self.type_vars.1[idx];
self.infcx.next_ty_var_with_origin(origin)
} else {
// This variable was created before the
// "fudging". Since we refresh all type
// variables to their binding anyhow, we know
// that it is unbound, so we can just return
// it.
debug_assert!(
self.infcx.inner.borrow_mut().type_variables().probe(vid).is_unknown()
);
ty
}
}
ty::Infer(ty::InferTy::IntVar(vid)) => {
if self.int_vars.contains(&vid) {
self.infcx.next_int_var()
} else {
ty
}
}
ty::Infer(ty::InferTy::FloatVar(vid)) => {
if self.float_vars.contains(&vid) {
self.infcx.next_float_var()
} else {
ty
}
}
_ => ty.super_fold_with(self),
}
}
fn fold_region(&mut self, r: ty::Region<'tcx>) -> ty::Region<'tcx> {
if let ty::ReVar(vid) = *r
&& self.region_vars.0.contains(&vid)
{
let idx = vid.index() - self.region_vars.0.start.index();
let origin = self.region_vars.1[idx];
return self.infcx.next_region_var(origin);
}
r
}
fn fold_const(&mut self, ct: ty::Const<'tcx>) -> ty::Const<'tcx> {
if let ty::ConstKind::Infer(ty::InferConst::Var(vid)) = ct.kind() {
if self.const_vars.0.contains(&vid) {
// This variable was created during the fudging.
// Recreate it with a fresh variable here.
let idx = vid.index() - self.const_vars.0.start.index();
let origin = self.const_vars.1[idx];
self.infcx.next_const_var_with_origin(origin)
} else {
ct
}
} else {
ct.super_fold_with(self)
}
}
}