Auto merge of #114457 - lcnr:trait_ref_is_knowable-normalize, r=compiler-errors
normalize in `trait_ref_is_knowable` in new solver fixes https://github.com/rust-lang/trait-system-refactor-initiative/issues/51 Alternatively we could avoid normalizing the self type and do this at the end of the `assemble_candidates_via_self_ty` stack by splitting candidates into: - applicable without normalizing self type - applicable for aliases, even if they can be normalized - applicable for stuff which cannot get normalized further I don't think this would have any significant benefits and it also seems non-trivial to avoid normalizing only the self type in `trait_ref_is_knowable`. r? `@compiler-errors`
This commit is contained in:
@@ -316,6 +316,8 @@ impl<'tcx> EvalCtxt<'_, 'tcx> {
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self.assemble_param_env_candidates(goal, &mut candidates);
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self.assemble_coherence_unknowable_candidates(goal, &mut candidates);
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candidates
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}
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@@ -363,10 +365,7 @@ impl<'tcx> EvalCtxt<'_, 'tcx> {
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self.assemble_object_bound_candidates(goal, &mut candidates);
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self.assemble_coherence_unknowable_candidates(goal, &mut candidates);
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self.assemble_candidates_after_normalizing_self_ty(goal, &mut candidates, num_steps);
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candidates
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}
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@@ -877,26 +876,43 @@ impl<'tcx> EvalCtxt<'_, 'tcx> {
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goal: Goal<'tcx, G>,
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candidates: &mut Vec<Candidate<'tcx>>,
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) {
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let tcx = self.tcx();
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match self.solver_mode() {
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SolverMode::Normal => return,
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SolverMode::Coherence => {
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let trait_ref = goal.predicate.trait_ref(self.tcx());
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match coherence::trait_ref_is_knowable(self.tcx(), trait_ref) {
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Ok(()) => {}
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Err(_) => match self
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.evaluate_added_goals_and_make_canonical_response(Certainty::AMBIGUOUS)
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{
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Ok(result) => candidates.push(Candidate {
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source: CandidateSource::BuiltinImpl(BuiltinImplSource::Misc),
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result,
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}),
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// FIXME: This will be reachable at some point if we're in
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// `assemble_candidates_after_normalizing_self_ty` and we get a
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// universe error. We'll deal with it at this point.
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Err(NoSolution) => bug!("coherence candidate resulted in NoSolution"),
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},
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SolverMode::Coherence => {}
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};
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let result = self.probe_candidate("coherence unknowable").enter(|ecx| {
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let trait_ref = goal.predicate.trait_ref(tcx);
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#[derive(Debug)]
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enum FailureKind {
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Overflow,
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NoSolution(NoSolution),
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}
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let lazily_normalize_ty = |ty| match ecx.try_normalize_ty(goal.param_env, ty) {
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Ok(Some(ty)) => Ok(ty),
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Ok(None) => Err(FailureKind::Overflow),
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Err(e) => Err(FailureKind::NoSolution(e)),
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};
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match coherence::trait_ref_is_knowable(tcx, trait_ref, lazily_normalize_ty) {
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Err(FailureKind::Overflow) => {
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ecx.evaluate_added_goals_and_make_canonical_response(Certainty::OVERFLOW)
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}
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Err(FailureKind::NoSolution(NoSolution)) | Ok(Ok(())) => Err(NoSolution),
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Ok(Err(_)) => {
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ecx.evaluate_added_goals_and_make_canonical_response(Certainty::AMBIGUOUS)
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}
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}
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});
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match result {
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Ok(result) => candidates.push(Candidate {
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source: CandidateSource::BuiltinImpl(BuiltinImplSource::Misc),
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result,
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}),
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Err(NoSolution) => {}
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}
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}
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@@ -388,44 +388,60 @@ impl<'a, 'tcx> EvalCtxt<'a, 'tcx> {
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&& is_normalizes_to_hack == IsNormalizesToHack::No
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&& !self.search_graph.in_cycle()
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{
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debug!("rerunning goal to check result is stable");
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self.search_graph.reset_encountered_overflow(encountered_overflow);
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let (_orig_values, canonical_goal) = self.canonicalize_goal(goal);
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let Ok(new_canonical_response) = EvalCtxt::evaluate_canonical_goal(
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self.tcx(),
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self.search_graph,
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canonical_goal,
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// FIXME(-Ztrait-solver=next): we do not track what happens in `evaluate_canonical_goal`
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&mut ProofTreeBuilder::new_noop(),
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) else {
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bug!(
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"goal went from {certainty:?} to error: re-canonicalized goal={canonical_goal:#?} \
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first_response={canonical_response:#?},
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second response was error"
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);
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};
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// We only check for modulo regions as we convert all regions in
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// the input to new existentials, even if they're expected to be
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// `'static` or a placeholder region.
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if !new_canonical_response.value.var_values.is_identity_modulo_regions() {
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bug!(
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"unstable result: re-canonicalized goal={canonical_goal:#?} \
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first_response={canonical_response:#?} \
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second_response={new_canonical_response:#?}"
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);
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}
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if certainty != new_canonical_response.value.certainty {
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bug!(
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"unstable certainty: {certainty:#?} re-canonicalized goal={canonical_goal:#?} \
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first_response={canonical_response:#?} \
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second_response={new_canonical_response:#?}"
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);
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}
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// The nested evaluation has to happen with the original state
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// of `encountered_overflow`.
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let from_original_evaluation =
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self.search_graph.reset_encountered_overflow(encountered_overflow);
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self.check_evaluate_goal_stable_result(goal, canonical_goal, canonical_response);
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// In case the evaluation was unstable, we manually make sure that this
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// debug check does not influence the result of the parent goal.
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self.search_graph.reset_encountered_overflow(from_original_evaluation);
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}
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Ok((has_changed, certainty, nested_goals))
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}
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fn check_evaluate_goal_stable_result(
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&mut self,
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goal: Goal<'tcx, ty::Predicate<'tcx>>,
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original_input: CanonicalInput<'tcx>,
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original_result: CanonicalResponse<'tcx>,
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) {
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let (_orig_values, canonical_goal) = self.canonicalize_goal(goal);
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let result = EvalCtxt::evaluate_canonical_goal(
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self.tcx(),
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self.search_graph,
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canonical_goal,
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// FIXME(-Ztrait-solver=next): we do not track what happens in `evaluate_canonical_goal`
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&mut ProofTreeBuilder::new_noop(),
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);
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macro_rules! fail {
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($msg:expr) => {{
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let msg = $msg;
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warn!(
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"unstable result: {msg}\n\
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original goal: {original_input:?},\n\
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original result: {original_result:?}\n\
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re-canonicalized goal: {canonical_goal:?}\n\
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second response: {result:?}"
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);
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return;
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}};
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}
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let Ok(new_canonical_response) = result else { fail!("second response was error") };
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// We only check for modulo regions as we convert all regions in
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// the input to new existentials, even if they're expected to be
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// `'static` or a placeholder region.
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if !new_canonical_response.value.var_values.is_identity_modulo_regions() {
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fail!("additional constraints from second response")
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}
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if original_result.value.certainty != new_canonical_response.value.certainty {
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fail!("unstable certainty")
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}
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}
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fn compute_goal(&mut self, goal: Goal<'tcx, ty::Predicate<'tcx>>) -> QueryResult<'tcx> {
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let Goal { param_env, predicate } = goal;
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let kind = predicate.kind();
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@@ -283,6 +283,37 @@ impl<'tcx> EvalCtxt<'_, 'tcx> {
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Ok(self.make_ambiguous_response_no_constraints(maybe_cause))
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}
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/// Normalize a type when it is structually matched on.
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///
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/// For self types this is generally already handled through
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/// `assemble_candidates_after_normalizing_self_ty`, so anything happening
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/// in [`EvalCtxt::assemble_candidates_via_self_ty`] does not have to normalize
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/// the self type. It is required when structurally matching on any other
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/// arguments of a trait goal, e.g. when assembling builtin unsize candidates.
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fn try_normalize_ty(
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&mut self,
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param_env: ty::ParamEnv<'tcx>,
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mut ty: Ty<'tcx>,
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) -> Result<Option<Ty<'tcx>>, NoSolution> {
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for _ in 0..self.local_overflow_limit() {
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let ty::Alias(_, projection_ty) = *ty.kind() else {
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return Ok(Some(ty));
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};
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let normalized_ty = self.next_ty_infer();
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let normalizes_to_goal = Goal::new(
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self.tcx(),
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param_env,
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ty::ProjectionPredicate { projection_ty, term: normalized_ty.into() },
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);
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self.add_goal(normalizes_to_goal);
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self.try_evaluate_added_goals()?;
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ty = self.resolve_vars_if_possible(normalized_ty);
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}
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Ok(None)
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}
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}
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fn response_no_constraints_raw<'tcx>(
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@@ -134,9 +134,13 @@ impl<'tcx> SearchGraph<'tcx> {
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/// Resets `encountered_overflow` of the current goal.
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///
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/// This should only be used for the check in `evaluate_goal`.
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pub(super) fn reset_encountered_overflow(&mut self, encountered_overflow: bool) {
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if encountered_overflow {
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self.stack.raw.last_mut().unwrap().encountered_overflow = true;
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pub(super) fn reset_encountered_overflow(&mut self, encountered_overflow: bool) -> bool {
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if let Some(last) = self.stack.raw.last_mut() {
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let prev = last.encountered_overflow;
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last.encountered_overflow = encountered_overflow;
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prev
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} else {
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false
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}
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}
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@@ -448,7 +448,7 @@ impl<'tcx> assembly::GoalKind<'tcx> for TraitPredicate<'tcx> {
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// We need to normalize the b_ty since it's matched structurally
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// in the other functions below.
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let b_ty = match ecx
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.normalize_non_self_ty(goal.predicate.trait_ref.args.type_at(1), goal.param_env)
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.try_normalize_ty(goal.param_env, goal.predicate.trait_ref.args.type_at(1))
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{
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Ok(Some(b_ty)) => b_ty,
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Ok(None) => return vec![misc_candidate(ecx, Certainty::OVERFLOW)],
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@@ -927,41 +927,4 @@ impl<'tcx> EvalCtxt<'_, 'tcx> {
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let candidates = self.assemble_and_evaluate_candidates(goal);
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self.merge_candidates(candidates)
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}
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/// Normalize a non-self type when it is structually matched on when solving
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/// a built-in goal.
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///
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/// This is handled already through `assemble_candidates_after_normalizing_self_ty`
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/// for the self type, but for other goals, additional normalization of other
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/// arguments may be needed to completely implement the semantics of the trait.
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///
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/// This is required when structurally matching on any trait argument that is
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/// not the self type.
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fn normalize_non_self_ty(
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&mut self,
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mut ty: Ty<'tcx>,
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param_env: ty::ParamEnv<'tcx>,
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) -> Result<Option<Ty<'tcx>>, NoSolution> {
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if !matches!(ty.kind(), ty::Alias(..)) {
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return Ok(Some(ty));
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}
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for _ in 0..self.local_overflow_limit() {
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let ty::Alias(_, projection_ty) = *ty.kind() else {
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return Ok(Some(ty));
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};
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let normalized_ty = self.next_ty_infer();
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let normalizes_to_goal = Goal::new(
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self.tcx(),
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param_env,
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ty::ProjectionPredicate { projection_ty, term: normalized_ty.into() },
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);
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self.add_goal(normalizes_to_goal);
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self.try_evaluate_added_goals()?;
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ty = self.resolve_vars_if_possible(normalized_ty);
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}
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Ok(None)
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}
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}
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