mirror of
https://github.com/rust-lang/rust-analyzer
synced 2025-01-06 02:08:49 +00:00
369 lines
12 KiB
Rust
369 lines
12 KiB
Rust
//! Various diagnostics for expressions that are collected together in one pass
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//! through the body using inference results: mismatched arg counts, missing
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//! fields, etc.
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use std::sync::Arc;
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use hir_def::{path::path, resolver::HasResolver, AssocItemId, DefWithBodyId, HasModule};
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use hir_expand::name;
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use itertools::Either;
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use rustc_hash::FxHashSet;
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use typed_arena::Arena;
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use crate::{
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db::HirDatabase,
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diagnostics::match_check::{
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self,
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deconstruct_pat::DeconstructedPat,
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usefulness::{compute_match_usefulness, MatchCheckCtx},
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},
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InferenceResult, TyExt,
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};
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pub(crate) use hir_def::{
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body::Body,
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expr::{Expr, ExprId, MatchArm, Pat, PatId},
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LocalFieldId, VariantId,
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};
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pub enum BodyValidationDiagnostic {
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RecordMissingFields {
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record: Either<ExprId, PatId>,
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variant: VariantId,
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missed_fields: Vec<LocalFieldId>,
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},
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ReplaceFilterMapNextWithFindMap {
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method_call_expr: ExprId,
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},
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MissingMatchArms {
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match_expr: ExprId,
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},
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}
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impl BodyValidationDiagnostic {
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pub fn collect(db: &dyn HirDatabase, owner: DefWithBodyId) -> Vec<BodyValidationDiagnostic> {
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let _p = profile::span("BodyValidationDiagnostic::collect");
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let infer = db.infer(owner);
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let mut validator = ExprValidator::new(owner, infer);
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validator.validate_body(db);
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validator.diagnostics
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}
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}
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struct ExprValidator {
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owner: DefWithBodyId,
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infer: Arc<InferenceResult>,
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pub(super) diagnostics: Vec<BodyValidationDiagnostic>,
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}
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impl ExprValidator {
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fn new(owner: DefWithBodyId, infer: Arc<InferenceResult>) -> ExprValidator {
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ExprValidator { owner, infer, diagnostics: Vec::new() }
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}
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fn validate_body(&mut self, db: &dyn HirDatabase) {
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let body = db.body(self.owner);
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let mut filter_map_next_checker = None;
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for (id, expr) in body.exprs.iter() {
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if let Some((variant, missed_fields, true)) =
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record_literal_missing_fields(db, &self.infer, id, expr)
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{
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self.diagnostics.push(BodyValidationDiagnostic::RecordMissingFields {
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record: Either::Left(id),
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variant,
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missed_fields,
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});
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}
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match expr {
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Expr::Match { expr, arms } => {
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self.validate_match(id, *expr, arms, db, self.infer.clone());
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}
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Expr::Call { .. } | Expr::MethodCall { .. } => {
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self.validate_call(db, id, expr, &mut filter_map_next_checker);
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}
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_ => {}
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}
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}
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for (id, pat) in body.pats.iter() {
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if let Some((variant, missed_fields, true)) =
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record_pattern_missing_fields(db, &self.infer, id, pat)
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{
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self.diagnostics.push(BodyValidationDiagnostic::RecordMissingFields {
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record: Either::Right(id),
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variant,
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missed_fields,
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});
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}
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}
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}
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fn validate_call(
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&mut self,
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db: &dyn HirDatabase,
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call_id: ExprId,
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expr: &Expr,
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filter_map_next_checker: &mut Option<FilterMapNextChecker>,
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) {
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// Check that the number of arguments matches the number of parameters.
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// FIXME: Due to shortcomings in the current type system implementation, only emit this
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// diagnostic if there are no type mismatches in the containing function.
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if self.infer.expr_type_mismatches().next().is_some() {
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return;
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}
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match expr {
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Expr::MethodCall { receiver, .. } => {
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let (callee, _) = match self.infer.method_resolution(call_id) {
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Some(it) => it,
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None => return,
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};
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if filter_map_next_checker
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.get_or_insert_with(|| {
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FilterMapNextChecker::new(&self.owner.resolver(db.upcast()), db)
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})
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.check(call_id, receiver, &callee)
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.is_some()
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{
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self.diagnostics.push(
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BodyValidationDiagnostic::ReplaceFilterMapNextWithFindMap {
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method_call_expr: call_id,
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},
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);
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}
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}
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_ => return,
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};
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}
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fn validate_match(
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&mut self,
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id: ExprId,
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match_expr: ExprId,
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arms: &[MatchArm],
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db: &dyn HirDatabase,
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infer: Arc<InferenceResult>,
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) {
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let body = db.body(self.owner);
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let match_expr_ty = &infer[match_expr];
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if match_expr_ty.is_unknown() {
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return;
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}
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let pattern_arena = Arena::new();
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let cx = MatchCheckCtx {
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module: self.owner.module(db.upcast()),
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body: self.owner,
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db,
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pattern_arena: &pattern_arena,
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};
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let mut m_arms = Vec::with_capacity(arms.len());
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let mut has_lowering_errors = false;
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for arm in arms {
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if let Some(pat_ty) = infer.type_of_pat.get(arm.pat) {
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// We only include patterns whose type matches the type
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// of the match expression. If we had an InvalidMatchArmPattern
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// diagnostic or similar we could raise that in an else
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// block here.
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//
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// When comparing the types, we also have to consider that rustc
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// will automatically de-reference the match expression type if
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// necessary.
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//
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// FIXME we should use the type checker for this.
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if (pat_ty == match_expr_ty
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|| match_expr_ty
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.as_reference()
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.map(|(match_expr_ty, ..)| match_expr_ty == pat_ty)
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.unwrap_or(false))
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&& types_of_subpatterns_do_match(arm.pat, &body, &infer)
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{
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// If we had a NotUsefulMatchArm diagnostic, we could
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// check the usefulness of each pattern as we added it
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// to the matrix here.
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let m_arm = match_check::MatchArm {
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pat: self.lower_pattern(&cx, arm.pat, db, &body, &mut has_lowering_errors),
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has_guard: arm.guard.is_some(),
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};
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m_arms.push(m_arm);
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if !has_lowering_errors {
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continue;
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}
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}
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}
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// If we can't resolve the type of a pattern, or the pattern type doesn't
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// fit the match expression, we skip this diagnostic. Skipping the entire
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// diagnostic rather than just not including this match arm is preferred
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// to avoid the chance of false positives.
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cov_mark::hit!(validate_match_bailed_out);
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return;
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}
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let report = compute_match_usefulness(&cx, &m_arms, match_expr_ty);
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// FIXME Report unreacheble arms
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// https://github.com/rust-lang/rust/blob/f31622a50/compiler/rustc_mir_build/src/thir/pattern/check_match.rs#L200
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let witnesses = report.non_exhaustiveness_witnesses;
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// FIXME Report witnesses
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// eprintln!("compute_match_usefulness(..) -> {:?}", &witnesses);
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if !witnesses.is_empty() {
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self.diagnostics.push(BodyValidationDiagnostic::MissingMatchArms { match_expr: id });
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}
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}
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fn lower_pattern<'p>(
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&self,
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cx: &MatchCheckCtx<'_, 'p>,
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pat: PatId,
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db: &dyn HirDatabase,
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body: &Body,
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have_errors: &mut bool,
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) -> &'p DeconstructedPat<'p> {
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let mut patcx = match_check::PatCtxt::new(db, &self.infer, body);
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let pattern = patcx.lower_pattern(pat);
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let pattern = cx.pattern_arena.alloc(DeconstructedPat::from_pat(cx, &pattern));
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if !patcx.errors.is_empty() {
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*have_errors = true;
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}
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pattern
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}
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}
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struct FilterMapNextChecker {
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filter_map_function_id: Option<hir_def::FunctionId>,
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next_function_id: Option<hir_def::FunctionId>,
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prev_filter_map_expr_id: Option<ExprId>,
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}
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impl FilterMapNextChecker {
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fn new(resolver: &hir_def::resolver::Resolver, db: &dyn HirDatabase) -> Self {
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// Find and store the FunctionIds for Iterator::filter_map and Iterator::next
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let iterator_path = path![core::iter::Iterator];
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let mut filter_map_function_id = None;
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let mut next_function_id = None;
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if let Some(iterator_trait_id) = resolver.resolve_known_trait(db.upcast(), &iterator_path) {
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let iterator_trait_items = &db.trait_data(iterator_trait_id).items;
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for item in iterator_trait_items.iter() {
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if let (name, AssocItemId::FunctionId(id)) = item {
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if *name == name![filter_map] {
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filter_map_function_id = Some(*id);
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}
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if *name == name![next] {
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next_function_id = Some(*id);
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}
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}
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if filter_map_function_id.is_some() && next_function_id.is_some() {
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break;
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}
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}
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}
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Self { filter_map_function_id, next_function_id, prev_filter_map_expr_id: None }
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}
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// check for instances of .filter_map(..).next()
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fn check(
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&mut self,
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current_expr_id: ExprId,
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receiver_expr_id: &ExprId,
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function_id: &hir_def::FunctionId,
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) -> Option<()> {
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if *function_id == self.filter_map_function_id? {
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self.prev_filter_map_expr_id = Some(current_expr_id);
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return None;
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}
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if *function_id == self.next_function_id? {
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if let Some(prev_filter_map_expr_id) = self.prev_filter_map_expr_id {
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if *receiver_expr_id == prev_filter_map_expr_id {
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return Some(());
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}
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}
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}
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self.prev_filter_map_expr_id = None;
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None
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}
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}
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pub fn record_literal_missing_fields(
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db: &dyn HirDatabase,
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infer: &InferenceResult,
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id: ExprId,
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expr: &Expr,
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) -> Option<(VariantId, Vec<LocalFieldId>, /*exhaustive*/ bool)> {
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let (fields, exhaustive) = match expr {
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Expr::RecordLit { path: _, fields, spread } => (fields, spread.is_none()),
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_ => return None,
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};
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let variant_def = infer.variant_resolution_for_expr(id)?;
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if let VariantId::UnionId(_) = variant_def {
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return None;
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}
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let variant_data = variant_def.variant_data(db.upcast());
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let specified_fields: FxHashSet<_> = fields.iter().map(|f| &f.name).collect();
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let missed_fields: Vec<LocalFieldId> = variant_data
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.fields()
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.iter()
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.filter_map(|(f, d)| if specified_fields.contains(&d.name) { None } else { Some(f) })
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.collect();
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if missed_fields.is_empty() {
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return None;
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}
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Some((variant_def, missed_fields, exhaustive))
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}
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pub fn record_pattern_missing_fields(
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db: &dyn HirDatabase,
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infer: &InferenceResult,
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id: PatId,
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pat: &Pat,
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) -> Option<(VariantId, Vec<LocalFieldId>, /*exhaustive*/ bool)> {
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let (fields, exhaustive) = match pat {
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Pat::Record { path: _, args, ellipsis } => (args, !ellipsis),
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_ => return None,
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};
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let variant_def = infer.variant_resolution_for_pat(id)?;
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if let VariantId::UnionId(_) = variant_def {
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return None;
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}
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let variant_data = variant_def.variant_data(db.upcast());
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let specified_fields: FxHashSet<_> = fields.iter().map(|f| &f.name).collect();
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let missed_fields: Vec<LocalFieldId> = variant_data
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.fields()
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.iter()
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.filter_map(|(f, d)| if specified_fields.contains(&d.name) { None } else { Some(f) })
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.collect();
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if missed_fields.is_empty() {
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return None;
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}
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Some((variant_def, missed_fields, exhaustive))
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}
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fn types_of_subpatterns_do_match(pat: PatId, body: &Body, infer: &InferenceResult) -> bool {
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fn walk(pat: PatId, body: &Body, infer: &InferenceResult, has_type_mismatches: &mut bool) {
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match infer.type_mismatch_for_pat(pat) {
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Some(_) => *has_type_mismatches = true,
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None => {
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body[pat].walk_child_pats(|subpat| walk(subpat, body, infer, has_type_mismatches))
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}
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}
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}
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let mut has_type_mismatches = false;
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walk(pat, body, infer, &mut has_type_mismatches);
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!has_type_mismatches
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}
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