Disentangle the arena from MatchCheckCtxt
This commit is contained in:
parent
081c3dcf43
commit
3ad76f9325
6 changed files with 140 additions and 117 deletions
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@ -555,9 +555,10 @@
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use smallvec::{smallvec, SmallVec};
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use std::fmt;
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use rustc_arena::TypedArena;
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use rustc_data_structures::{captures::Captures, stack::ensure_sufficient_stack};
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use rustc_middle::ty::Ty;
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use rustc_span::{Span, DUMMY_SP};
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use rustc_span::Span;
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use crate::constructor::{Constructor, ConstructorSet};
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use crate::cx::MatchCheckCtxt;
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@ -574,12 +575,18 @@ pub(crate) struct PatCtxt<'a, 'p, 'tcx> {
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/// Whether the current pattern is the whole pattern as found in a match arm, or if it's a
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/// subpattern.
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pub(crate) is_top_level: bool,
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/// An arena to store the wildcards we produce during analysis.
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pub(crate) wildcard_arena: &'a TypedArena<DeconstructedPat<'p, 'tcx>>,
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}
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impl<'a, 'p, 'tcx> PatCtxt<'a, 'p, 'tcx> {
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/// A `PatCtxt` when code other than `is_useful` needs one.
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pub(crate) fn new_dummy(cx: &'a MatchCheckCtxt<'p, 'tcx>, ty: Ty<'tcx>) -> Self {
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PatCtxt { cx, ty, is_top_level: false }
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pub(crate) fn new_dummy(
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cx: &'a MatchCheckCtxt<'p, 'tcx>,
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ty: Ty<'tcx>,
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wildcard_arena: &'a TypedArena<DeconstructedPat<'p, 'tcx>>,
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) -> Self {
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PatCtxt { cx, ty, is_top_level: false, wildcard_arena }
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}
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}
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@ -651,14 +658,18 @@ impl fmt::Display for ValidityConstraint {
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}
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/// Represents a pattern-tuple under investigation.
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// The three lifetimes are:
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// - 'a allocated by us
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// - 'p coming from the input
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// - 'tcx global compilation context
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#[derive(Clone)]
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struct PatStack<'p, 'tcx> {
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struct PatStack<'a, 'p, 'tcx> {
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// Rows of len 1 are very common, which is why `SmallVec[_; 2]` works well.
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pats: SmallVec<[&'p DeconstructedPat<'p, 'tcx>; 2]>,
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pats: SmallVec<[&'a DeconstructedPat<'p, 'tcx>; 2]>,
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}
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impl<'p, 'tcx> PatStack<'p, 'tcx> {
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fn from_pattern(pat: &'p DeconstructedPat<'p, 'tcx>) -> Self {
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impl<'a, 'p, 'tcx> PatStack<'a, 'p, 'tcx> {
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fn from_pattern(pat: &'a DeconstructedPat<'p, 'tcx>) -> Self {
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PatStack { pats: smallvec![pat] }
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}
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@ -670,17 +681,17 @@ impl<'p, 'tcx> PatStack<'p, 'tcx> {
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self.pats.len()
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}
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fn head(&self) -> &'p DeconstructedPat<'p, 'tcx> {
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fn head(&self) -> &'a DeconstructedPat<'p, 'tcx> {
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self.pats[0]
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}
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fn iter(&self) -> impl Iterator<Item = &DeconstructedPat<'p, 'tcx>> {
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fn iter<'b>(&'b self) -> impl Iterator<Item = &'a DeconstructedPat<'p, 'tcx>> + Captures<'b> {
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self.pats.iter().copied()
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}
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// Recursively expand the first or-pattern into its subpatterns. Only useful if the pattern is
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// an or-pattern. Panics if `self` is empty.
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fn expand_or_pat<'a>(&'a self) -> impl Iterator<Item = PatStack<'p, 'tcx>> + Captures<'a> {
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fn expand_or_pat<'b>(&'b self) -> impl Iterator<Item = PatStack<'a, 'p, 'tcx>> + Captures<'b> {
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self.head().flatten_or_pat().into_iter().map(move |pat| {
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let mut new = self.clone();
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new.pats[0] = pat;
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@ -692,9 +703,9 @@ impl<'p, 'tcx> PatStack<'p, 'tcx> {
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/// Only call if `ctor.is_covered_by(self.head().ctor())` is true.
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fn pop_head_constructor(
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&self,
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pcx: &PatCtxt<'_, 'p, 'tcx>,
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pcx: &PatCtxt<'a, 'p, 'tcx>,
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ctor: &Constructor<'tcx>,
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) -> PatStack<'p, 'tcx> {
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) -> PatStack<'a, 'p, 'tcx> {
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// We pop the head pattern and push the new fields extracted from the arguments of
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// `self.head()`.
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let mut new_pats = self.head().specialize(pcx, ctor);
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@ -703,7 +714,7 @@ impl<'p, 'tcx> PatStack<'p, 'tcx> {
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}
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}
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impl<'p, 'tcx> fmt::Debug for PatStack<'p, 'tcx> {
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impl<'a, 'p, 'tcx> fmt::Debug for PatStack<'a, 'p, 'tcx> {
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fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
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// We pretty-print similarly to the `Debug` impl of `Matrix`.
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write!(f, "+")?;
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@ -716,9 +727,9 @@ impl<'p, 'tcx> fmt::Debug for PatStack<'p, 'tcx> {
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/// A row of the matrix.
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#[derive(Clone)]
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struct MatrixRow<'p, 'tcx> {
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struct MatrixRow<'a, 'p, 'tcx> {
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// The patterns in the row.
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pats: PatStack<'p, 'tcx>,
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pats: PatStack<'a, 'p, 'tcx>,
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/// Whether the original arm had a guard. This is inherited when specializing.
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is_under_guard: bool,
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/// When we specialize, we remember which row of the original matrix produced a given row of the
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@ -731,7 +742,7 @@ struct MatrixRow<'p, 'tcx> {
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useful: bool,
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}
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impl<'p, 'tcx> MatrixRow<'p, 'tcx> {
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impl<'a, 'p, 'tcx> MatrixRow<'a, 'p, 'tcx> {
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fn is_empty(&self) -> bool {
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self.pats.is_empty()
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}
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@ -740,17 +751,17 @@ impl<'p, 'tcx> MatrixRow<'p, 'tcx> {
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self.pats.len()
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}
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fn head(&self) -> &'p DeconstructedPat<'p, 'tcx> {
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fn head(&self) -> &'a DeconstructedPat<'p, 'tcx> {
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self.pats.head()
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}
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fn iter(&self) -> impl Iterator<Item = &DeconstructedPat<'p, 'tcx>> {
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fn iter<'b>(&'b self) -> impl Iterator<Item = &'a DeconstructedPat<'p, 'tcx>> + Captures<'b> {
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self.pats.iter()
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}
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// Recursively expand the first or-pattern into its subpatterns. Only useful if the pattern is
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// an or-pattern. Panics if `self` is empty.
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fn expand_or_pat<'a>(&'a self) -> impl Iterator<Item = MatrixRow<'p, 'tcx>> + Captures<'a> {
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fn expand_or_pat<'b>(&'b self) -> impl Iterator<Item = MatrixRow<'a, 'p, 'tcx>> + Captures<'b> {
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self.pats.expand_or_pat().map(|patstack| MatrixRow {
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pats: patstack,
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parent_row: self.parent_row,
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@ -763,10 +774,10 @@ impl<'p, 'tcx> MatrixRow<'p, 'tcx> {
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/// Only call if `ctor.is_covered_by(self.head().ctor())` is true.
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fn pop_head_constructor(
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&self,
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pcx: &PatCtxt<'_, 'p, 'tcx>,
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pcx: &PatCtxt<'a, 'p, 'tcx>,
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ctor: &Constructor<'tcx>,
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parent_row: usize,
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) -> MatrixRow<'p, 'tcx> {
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) -> MatrixRow<'a, 'p, 'tcx> {
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MatrixRow {
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pats: self.pats.pop_head_constructor(pcx, ctor),
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parent_row,
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@ -776,7 +787,7 @@ impl<'p, 'tcx> MatrixRow<'p, 'tcx> {
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}
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}
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impl<'p, 'tcx> fmt::Debug for MatrixRow<'p, 'tcx> {
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impl<'a, 'p, 'tcx> fmt::Debug for MatrixRow<'a, 'p, 'tcx> {
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fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
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self.pats.fmt(f)
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}
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@ -793,22 +804,22 @@ impl<'p, 'tcx> fmt::Debug for MatrixRow<'p, 'tcx> {
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/// specializing `(,)` and `Some` on a pattern of type `(Option<u32>, bool)`, the first column of
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/// the matrix will correspond to `scrutinee.0.Some.0` and the second column to `scrutinee.1`.
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#[derive(Clone)]
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struct Matrix<'p, 'tcx> {
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struct Matrix<'a, 'p, 'tcx> {
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/// Vector of rows. The rows must form a rectangular 2D array. Moreover, all the patterns of
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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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rows: Vec<MatrixRow<'p, 'tcx>>,
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rows: Vec<MatrixRow<'a, 'p, 'tcx>>,
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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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/// each column. This must obey the same invariants as the real rows.
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wildcard_row: PatStack<'p, 'tcx>,
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wildcard_row: PatStack<'a, 'p, 'tcx>,
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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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}
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impl<'p, 'tcx> Matrix<'p, 'tcx> {
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impl<'a, 'p, 'tcx> Matrix<'a, 'p, 'tcx> {
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/// Pushes a new row to the matrix. If the row starts with an or-pattern, this recursively
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/// expands it. Internal method, prefer [`Matrix::new`].
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fn expand_and_push(&mut self, row: MatrixRow<'p, 'tcx>) {
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fn expand_and_push(&mut self, row: MatrixRow<'a, 'p, 'tcx>) {
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if !row.is_empty() && row.head().is_or_pat() {
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// Expand nested or-patterns.
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for new_row in row.expand_or_pat() {
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}
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/// Build a new matrix from an iterator of `MatchArm`s.
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fn new<'a>(
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cx: &MatchCheckCtxt<'p, 'tcx>,
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arms: &[MatchArm<'p, 'tcx>],
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fn new(
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wildcard_arena: &'a TypedArena<DeconstructedPat<'p, 'tcx>>,
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arms: &'a [MatchArm<'p, 'tcx>],
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scrut_ty: Ty<'tcx>,
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scrut_validity: ValidityConstraint,
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) -> Self
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where
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'p: 'a,
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{
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let wild_pattern = cx.pattern_arena.alloc(DeconstructedPat::wildcard(scrut_ty, DUMMY_SP));
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) -> Self {
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let wild_pattern =
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wildcard_arena.alloc(DeconstructedPat::wildcard(scrut_ty, Span::default()));
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let wildcard_row = PatStack::from_pattern(wild_pattern);
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let mut matrix = Matrix {
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rows: Vec::with_capacity(arms.len()),
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@ -871,32 +880,34 @@ impl<'p, 'tcx> Matrix<'p, 'tcx> {
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self.wildcard_row.len()
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}
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fn rows<'a>(
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&'a self,
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) -> impl Iterator<Item = &'a MatrixRow<'p, 'tcx>> + Clone + DoubleEndedIterator + ExactSizeIterator
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{
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fn rows<'b>(
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&'b self,
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) -> impl Iterator<Item = &'b MatrixRow<'a, 'p, 'tcx>>
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+ Clone
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+ DoubleEndedIterator
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+ ExactSizeIterator {
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self.rows.iter()
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}
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fn rows_mut<'a>(
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&'a mut self,
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) -> impl Iterator<Item = &'a mut MatrixRow<'p, 'tcx>> + DoubleEndedIterator + ExactSizeIterator
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fn rows_mut<'b>(
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&'b mut self,
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) -> impl Iterator<Item = &'b mut MatrixRow<'a, 'p, 'tcx>> + DoubleEndedIterator + ExactSizeIterator
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{
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self.rows.iter_mut()
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}
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/// Iterate over the first pattern of each row.
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fn heads<'a>(
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&'a self,
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) -> impl Iterator<Item = &'p DeconstructedPat<'p, 'tcx>> + Clone + Captures<'a> {
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fn heads<'b>(
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&'b self,
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) -> impl Iterator<Item = &'b DeconstructedPat<'p, 'tcx>> + Clone + Captures<'a> {
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self.rows().map(|r| r.head())
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}
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/// This computes `specialize(ctor, self)`. See top of the file for explanations.
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fn specialize_constructor(
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&self,
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pcx: &PatCtxt<'_, 'p, 'tcx>,
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pcx: &PatCtxt<'a, 'p, 'tcx>,
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ctor: &Constructor<'tcx>,
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) -> Matrix<'p, 'tcx> {
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) -> Matrix<'a, 'p, 'tcx> {
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let wildcard_row = self.wildcard_row.pop_head_constructor(pcx, ctor);
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let new_validity = self.place_validity[0].specialize(ctor);
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let new_place_validity = std::iter::repeat(new_validity)
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/// + _ + [_, _, tail @ ..] +
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/// | ✓ | ? | // column validity
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/// ```
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impl<'p, 'tcx> fmt::Debug for Matrix<'p, 'tcx> {
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impl<'a, 'p, 'tcx> fmt::Debug for Matrix<'a, 'p, 'tcx> {
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fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
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write!(f, "\n")?;
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@ -1156,10 +1167,11 @@ impl<'tcx> WitnessMatrix<'tcx> {
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/// - unspecialization, where we lift the results from the previous step into results for this step
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/// (using `apply_constructor` and by updating `row.useful` for each parent row).
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/// This is all explained at the top of the file.
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#[instrument(level = "debug", skip(cx, is_top_level), ret)]
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fn compute_exhaustiveness_and_usefulness<'p, 'tcx>(
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cx: &MatchCheckCtxt<'p, 'tcx>,
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matrix: &mut Matrix<'p, 'tcx>,
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#[instrument(level = "debug", skip(cx, is_top_level, wildcard_arena), ret)]
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fn compute_exhaustiveness_and_usefulness<'a, 'p, 'tcx>(
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cx: &'a MatchCheckCtxt<'p, 'tcx>,
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matrix: &mut Matrix<'a, 'p, 'tcx>,
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wildcard_arena: &'a TypedArena<DeconstructedPat<'p, 'tcx>>,
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is_top_level: bool,
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) -> WitnessMatrix<'tcx> {
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debug_assert!(matrix.rows().all(|r| r.len() == matrix.column_count()));
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};
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debug!("ty: {ty:?}");
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let pcx = &PatCtxt { cx, ty, is_top_level };
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let pcx = &PatCtxt { cx, ty, is_top_level, wildcard_arena };
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// Whether the place/column we are inspecting is known to contain valid data.
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let place_validity = matrix.place_validity[0];
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// Dig into rows that match `ctor`.
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let mut spec_matrix = matrix.specialize_constructor(pcx, &ctor);
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let mut witnesses = ensure_sufficient_stack(|| {
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compute_exhaustiveness_and_usefulness(cx, &mut spec_matrix, false)
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compute_exhaustiveness_and_usefulness(cx, &mut spec_matrix, wildcard_arena, false)
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});
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let counts_for_exhaustiveness = match ctor {
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@ -1286,15 +1298,17 @@ pub struct UsefulnessReport<'p, 'tcx> {
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}
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/// Computes whether a match is exhaustive and which of its arms are useful.
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#[instrument(skip(cx, arms), level = "debug")]
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#[instrument(skip(cx, arms, wildcard_arena), level = "debug")]
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pub(crate) fn compute_match_usefulness<'p, 'tcx>(
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cx: &MatchCheckCtxt<'p, 'tcx>,
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arms: &[MatchArm<'p, 'tcx>],
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scrut_ty: Ty<'tcx>,
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wildcard_arena: &TypedArena<DeconstructedPat<'p, 'tcx>>,
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) -> UsefulnessReport<'p, 'tcx> {
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let scrut_validity = ValidityConstraint::from_bool(cx.known_valid_scrutinee);
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let mut matrix = Matrix::new(cx, 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 mut matrix = Matrix::new(wildcard_arena, arms, scrut_ty, scrut_validity);
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let non_exhaustiveness_witnesses =
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compute_exhaustiveness_and_usefulness(cx, &mut matrix, wildcard_arena, true);
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let non_exhaustiveness_witnesses: Vec<_> = non_exhaustiveness_witnesses.single_column();
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let arm_usefulness: Vec<_> = arms
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