Remove Matrix.wildcard_row
It was only used to track types and relevancy, so may as well store that directly.
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@ -717,7 +717,7 @@ use std::fmt;
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use crate::constructor::{Constructor, ConstructorSet};
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use crate::constructor::{Constructor, ConstructorSet};
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use crate::pat::{DeconstructedPat, WitnessPat};
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use crate::pat::{DeconstructedPat, WitnessPat};
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use crate::{Captures, MatchArm, MatchCtxt, TypeCx, TypedArena};
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use crate::{Captures, MatchArm, MatchCtxt, TypeCx};
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use self::ValidityConstraint::*;
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use self::ValidityConstraint::*;
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@ -984,11 +984,13 @@ struct Matrix<'p, Cx: TypeCx> {
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/// each column must have the same type. Each column corresponds to a place within the
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/// each column must have the same type. Each column corresponds to a place within the
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/// scrutinee.
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/// scrutinee.
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rows: Vec<MatrixRow<'p, Cx>>,
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rows: Vec<MatrixRow<'p, Cx>>,
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/// Stores an extra fictitious row full of wildcards. Mostly used to keep track of the type of
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/// Track the type of each column/place.
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/// each column. This must obey the same invariants as the real rows.
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place_ty: SmallVec<[Cx::Ty; 2]>,
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wildcard_row: PatStack<'p, Cx>,
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/// Track for each column/place whether it contains a known valid value.
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/// Track for each column/place whether it contains a known valid value.
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place_validity: SmallVec<[ValidityConstraint; 2]>,
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place_validity: SmallVec<[ValidityConstraint; 2]>,
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/// Track whether the virtual wildcard row used to compute exhaustiveness is relevant. See top
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/// of the file for details on relevancy.
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wildcard_row_is_relevant: bool,
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}
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}
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impl<'p, Cx: TypeCx> Matrix<'p, Cx> {
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impl<'p, Cx: TypeCx> Matrix<'p, Cx> {
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@ -1007,17 +1009,15 @@ impl<'p, Cx: TypeCx> Matrix<'p, Cx> {
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/// Build a new matrix from an iterator of `MatchArm`s.
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/// Build a new matrix from an iterator of `MatchArm`s.
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fn new(
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fn new(
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wildcard_arena: &'p TypedArena<DeconstructedPat<'p, Cx>>,
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arms: &[MatchArm<'p, Cx>],
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arms: &[MatchArm<'p, Cx>],
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scrut_ty: Cx::Ty,
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scrut_ty: Cx::Ty,
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scrut_validity: ValidityConstraint,
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scrut_validity: ValidityConstraint,
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) -> Self {
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) -> Self {
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let wild_pattern = wildcard_arena.alloc(DeconstructedPat::wildcard(scrut_ty));
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let wildcard_row = PatStack::from_pattern(wild_pattern);
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let mut matrix = Matrix {
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let mut matrix = Matrix {
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rows: Vec::with_capacity(arms.len()),
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rows: Vec::with_capacity(arms.len()),
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wildcard_row,
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place_ty: smallvec![scrut_ty],
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place_validity: smallvec![scrut_validity],
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place_validity: smallvec![scrut_validity],
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wildcard_row_is_relevant: true,
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};
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};
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for (row_id, arm) in arms.iter().enumerate() {
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for (row_id, arm) in arms.iter().enumerate() {
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let v = MatrixRow {
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let v = MatrixRow {
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@ -1032,10 +1032,10 @@ impl<'p, Cx: TypeCx> Matrix<'p, Cx> {
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}
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}
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fn head_ty(&self) -> Option<Cx::Ty> {
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fn head_ty(&self) -> Option<Cx::Ty> {
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self.wildcard_row.head_opt().map(|pat| pat.ty())
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self.place_ty.first().copied()
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}
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}
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fn column_count(&self) -> usize {
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fn column_count(&self) -> usize {
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self.wildcard_row.len()
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self.place_ty.len()
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}
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}
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fn rows(
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fn rows(
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@ -1063,14 +1063,20 @@ impl<'p, Cx: TypeCx> Matrix<'p, Cx> {
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ctor: &Constructor<Cx>,
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ctor: &Constructor<Cx>,
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ctor_is_relevant: bool,
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ctor_is_relevant: bool,
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) -> Matrix<'p, Cx> {
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) -> Matrix<'p, Cx> {
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let wildcard_row = self.wildcard_row.pop_head_constructor(pcx, ctor, ctor_is_relevant);
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let ctor_sub_tys = pcx.ctor_sub_tys(ctor);
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let new_validity = self.place_validity[0].specialize(ctor);
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let specialized_place_ty =
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let new_place_validity = std::iter::repeat(new_validity)
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ctor_sub_tys.iter().chain(self.place_ty[1..].iter()).copied().collect();
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let ctor_sub_validity = self.place_validity[0].specialize(ctor);
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let specialized_place_validity = std::iter::repeat(ctor_sub_validity)
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.take(ctor.arity(pcx))
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.take(ctor.arity(pcx))
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.chain(self.place_validity[1..].iter().copied())
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.chain(self.place_validity[1..].iter().copied())
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.collect();
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.collect();
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let mut matrix =
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let mut matrix = Matrix {
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Matrix { rows: Vec::new(), wildcard_row, place_validity: new_place_validity };
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rows: Vec::new(),
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place_ty: specialized_place_ty,
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place_validity: specialized_place_validity,
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wildcard_row_is_relevant: self.wildcard_row_is_relevant && ctor_is_relevant,
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};
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for (i, row) in self.rows().enumerate() {
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for (i, row) in self.rows().enumerate() {
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if ctor.is_covered_by(pcx, row.head().ctor()) {
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if ctor.is_covered_by(pcx, row.head().ctor()) {
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let new_row = row.pop_head_constructor(pcx, ctor, ctor_is_relevant, i);
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let new_row = row.pop_head_constructor(pcx, ctor, ctor_is_relevant, i);
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@ -1335,7 +1341,7 @@ fn compute_exhaustiveness_and_usefulness<'a, 'p, Cx: TypeCx>(
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) -> WitnessMatrix<Cx> {
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) -> WitnessMatrix<Cx> {
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debug_assert!(matrix.rows().all(|r| r.len() == matrix.column_count()));
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debug_assert!(matrix.rows().all(|r| r.len() == matrix.column_count()));
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if !matrix.wildcard_row.relevant && matrix.rows().all(|r| !r.pats.relevant) {
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if !matrix.wildcard_row_is_relevant && matrix.rows().all(|r| !r.pats.relevant) {
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// Here we know that nothing will contribute further to exhaustiveness or usefulness. This
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// Here we know that nothing will contribute further to exhaustiveness or usefulness. This
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// is purely an optimization: skipping this check doesn't affect correctness. See the top of
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// is purely an optimization: skipping this check doesn't affect correctness. See the top of
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// the file for details.
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// the file for details.
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@ -1356,7 +1362,7 @@ fn compute_exhaustiveness_and_usefulness<'a, 'p, Cx: TypeCx>(
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}
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}
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// No (unguarded) rows, so the match is not exhaustive. We return a new witness unless
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// No (unguarded) rows, so the match is not exhaustive. We return a new witness unless
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// irrelevant.
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// irrelevant.
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return if matrix.wildcard_row.relevant {
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return if matrix.wildcard_row_is_relevant {
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WitnessMatrix::unit_witness()
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WitnessMatrix::unit_witness()
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} else {
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} else {
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// We choose to not report anything here; see at the top for details.
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// We choose to not report anything here; see at the top for details.
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@ -1466,7 +1472,7 @@ pub fn compute_match_usefulness<'p, Cx: TypeCx>(
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scrut_ty: Cx::Ty,
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scrut_ty: Cx::Ty,
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scrut_validity: ValidityConstraint,
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scrut_validity: ValidityConstraint,
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) -> UsefulnessReport<'p, Cx> {
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) -> UsefulnessReport<'p, Cx> {
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let mut matrix = Matrix::new(cx.wildcard_arena, arms, scrut_ty, scrut_validity);
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let mut matrix = Matrix::new(arms, scrut_ty, scrut_validity);
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let non_exhaustiveness_witnesses = compute_exhaustiveness_and_usefulness(cx, &mut matrix, true);
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let non_exhaustiveness_witnesses = compute_exhaustiveness_and_usefulness(cx, &mut matrix, true);
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let non_exhaustiveness_witnesses: Vec<_> = non_exhaustiveness_witnesses.single_column();
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let non_exhaustiveness_witnesses: Vec<_> = non_exhaustiveness_witnesses.single_column();
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