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Fully rework the algorithm and its explanation
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@Nadrieril
Nadrieril committed Nov 5, 2023
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266 changes: 107 additions & 159 deletions compiler/rustc_mir_build/src/thir/pattern/deconstruct_pat.rs
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Original file line number Diff line number Diff line change
@@ -1,53 +1,93 @@
//! [`super::usefulness`] explains most of what is happening in this file. As explained there,
//! values and patterns are made from constructors applied to fields. This file defines a
//! `Constructor` enum, a `Fields` struct, and various operations to manipulate them and convert
//! them from/to patterns.
//! As explained in [`super::usefulness`], values and patterns are made from constructors applied to
//! fields. This file defines a `Constructor` enum, a `Fields` struct, and various operations to
//! manipulate them and convert them from/to patterns.
//!
//! There's one idea that is not detailed in [`super::usefulness`] because the details are not
//! needed there: _constructor splitting_.
//! There are two important bits of core logic in this file: constructor inclusion and constructor
//! splitting. Constructor inclusion, i.e. whether a constructor is included in/covered by another,
//! is straightforward and defined in [`Constructor::is_covered_by`].
//!
//! # Constructor splitting
//! Constructor splitting is mentioned in [`super::usefulness`] but not detailed. We describe it
//! precisely here.
//!
//! The idea is as follows: given a constructor `c` and a matrix, we want to specialize in turn
//! with all the value constructors that are covered by `c`, and compute usefulness for each.
//! Instead of listing all those constructors (which is intractable), we group those value
//! constructors together as much as possible. Example:
//!
//! # Constructor grouping and splitting
//!
//! As explained in the corresponding section in [`super::usefulness`], to make usefulness tractable
//! we need to group together constructors that have the same effect when they are used to
//! specialize the matrix.
//!
//! Example:
//! ```compile_fail,E0004
//! match (0, false) {
//! (0 ..=100, true) => {} // `p_1`
//! (50..=150, false) => {} // `p_2`
//! (0 ..=200, _) => {} // `q`
//! (0 ..=100, true) => {}
//! (50..=150, false) => {}
//! (0 ..=200, _) => {}
//! }
//! ```
//!
//! The naive approach would try all numbers in the range `0..=200`. But we can be a lot more
//! clever: `0` and `1` for example will match the exact same rows, and return equivalent
//! witnesses. In fact all of `0..50` would. We can thus restrict our exploration to 4
//! constructors: `0..50`, `50..=100`, `101..=150` and `151..=200`. That is enough and infinitely
//! more tractable.
//! In this example we can restrict specialization to 5 cases: `0..50`, `50..=100`, `101..=150`,
//! `151..=200` and `200..`.
//!
//! In [`super::usefulness`], we had said that `specialize` only takes value-only constructors. We
//! now relax this restriction: we allow `specialize` to take constructors like `0..50` as long as
//! we're careful to only do that with constructors that make sense. For example, `specialize(0..50,
//! (0..=100, true))` is sensible, but `specialize(50..=200, (0..=100, true))` is not. The rule is
//! that we must only use a constructor that is a subset of constructors in the column (as computed
//! by [`Constructor::is_covered_by`]). No non-trivial intersections are allowed.
//!
//! Note how we only consider the first column of the match. In fact we take as input only the list
//! of the constructors of that column. We must return a set of constructors that cover the whole
//! type and is grouped as much as possible, without breaking the "must be included" rule above. The
//! precise set of invariants is described in [`SplitConstructorSet`].
//!
//! We compute this in two steps: first [`ConstructorSet::for_ty`] computes a representation of the
//! set of all possible constructors for the type. Then [`ConstructorSet::split`] looks at the
//! column of constructors and splits the set into groups accordingly.
//!
//! Constructor splitting has two interesting special cases: integer range splitting (see
//! [`IntRange::split`]) and slice splitting (see [`Slice::split`]).
//!
//! We capture this idea in a function `split(p_1 ... p_n, c)` which returns a list of constructors
//! `c'` covered by `c`. Given such a `c'`, we require that all value ctors `c''` covered by `c'`
//! return an equivalent set of witnesses after specializing and computing usefulness.
//! In the example above, witnesses for specializing by `c''` covered by `0..50` will only differ
//! in their first element.
//!
//! We usually also ask that the `c'` together cover all of the original `c`. However we allow
//! skipping some constructors as long as it doesn't change whether the resulting list of witnesses
//! is empty of not. We use this in the wildcard `_` case.
//! # The `Missing` constructor
//!
//! We detail a special case of constructor splitting that is a bit subtle. Take the following:
//!
//! ```
//! enum Direction { North, South, East, West }
//! # let wind = (Direction::North, 0u8);
//! match wind {
//! (Direction::North, 50..) => {}
//! (_, _) => {}
//! }
//! ```
//!
//! Here we expect constructor splitting to output two cases: `North`, and "everything else". This
//! "everything else" is represented by [`Constructor::Missing`]. Unlike other constructors, it's a
//! bit contextual: to know the exact list of constructors it represents we have to look at the
//! column. In practice however we don't need to, because by construction it only matches rows that
//! have wildcards. This is how this constructor is special: the only constructor that covers it is
//! `Wildcard`.
//!
//! The only place where we care about which constructors `Missing` represents is in diagnostics
//! (see `super::usefulness::WitnessMatrix::apply_constructor`).
//!
//! Extra special implementation detail: in fact, in the case where all the constructors are
//! missing, we replace `Missing` with `Wildcard` to signal this. It only makes a difference for
//! diagnostics: for `Missing` we list the missing constructors; for `Wildcard` we only output `_`.
//!
//! FIXME(Nadrieril): maybe `Missing { all_missing: bool }` would be less confusing.
//!
//! We choose whether to specialize with `Missing`/`Wildcard` in
//! `super::usefulness::compute_exhaustiveness_and_reachability`.
//!
//!
//! Splitting is implemented in the [`Constructor::split`] function. We don't do splitting for
//! or-patterns; instead we just try the alternatives one-by-one. For details on splitting
//! wildcards, see [`Constructor::split`]; for integer ranges, see
//! [`IntRange::split`]; for slices, see [`Slice::split`].
//!
//! ## Opaque patterns
//!
//! Some patterns, such as TODO, cannot be inspected, which we handle with `Constructor::Opaque`.
//! Since we know nothing of these patterns, we assume they never cover each other. In order to
//! respect the invariants of [`SplitConstructorSet`], we give each `Opaque` constructor a unique id
//! so we can recognize it.
//! Some patterns, such as constants that are not allowed to be matched structurally, cannot be
//! inspected, which we handle with `Constructor::Opaque`. Since we know nothing of these patterns,
//! we assume they never cover each other. In order to respect the invariants of
//! [`SplitConstructorSet`], we give each `Opaque` constructor a unique id so we can recognize it.
use std::cell::Cell;
use std::cmp::{self, max, min, Ordering};
Expand Down Expand Up @@ -645,8 +685,8 @@ impl OpaqueId {
/// `Fields`.
#[derive(Clone, Debug, PartialEq)]
pub(super) enum Constructor<'tcx> {
/// The constructor for patterns that have a single constructor, like tuples, struct patterns
/// and fixed-length arrays.
/// The constructor for patterns that have a single constructor, like tuples, struct patterns,
/// and references. Fixed-length arrays are treated separately with `Slice`.
Single,
/// Enum variants.
Variant(VariantIdx),
Expand Down Expand Up @@ -678,8 +718,8 @@ pub(super) enum Constructor<'tcx> {
/// We use this for variants behind an unstable gate as well as
/// `#[doc(hidden)]` ones.
Hidden,
/// Fake extra constructor for constructors that are not seen in the matrix, as explained in the
/// code for [`Constructor::split`].
/// Fake extra constructor for constructors that are not seen in the matrix, as explained at the
/// top of the file.
Missing,
}

Expand Down Expand Up @@ -761,104 +801,12 @@ impl<'tcx> Constructor<'tcx> {
}
}

/// Some constructors (namely `Wildcard`, `IntRange` and `Slice`) actually stand for a set of
/// actual constructors (like variants, integers or fixed-sized slices). When specializing for
/// these constructors, we want to be specialising for the actual underlying constructors.
/// Naively, we would simply return the list of constructors they correspond to. We instead are
/// more clever: if there are constructors that we know will behave the same w.r.t. the current
/// matrix, we keep them grouped. For example, all slices of a sufficiently large length will
/// either be all useful or all non-useful with a given matrix.
///
/// See the branches for details on how the splitting is done.
///
/// This function may discard some irrelevant constructors if this preserves behavior. Eg. for
/// the `_` case, we ignore the constructors already present in the column, unless all of them
/// are.
pub(super) fn split<'a>(
&self,
pcx: &PatCtxt<'_, '_, 'tcx>,
ctors: impl Iterator<Item = &'a Constructor<'tcx>> + Clone,
) -> SmallVec<[Self; 1]>
where
'tcx: 'a,
{
match self {
Wildcard => {
let split_set = ConstructorSet::for_ty(pcx.cx, pcx.ty).split(pcx, ctors);
if !split_set.missing.is_empty() {
// We are splitting a wildcard in order to compute its usefulness. Some constructors are
// not present in the column. The first thing we note is that specializing with any of
// the missing constructors would select exactly the rows with wildcards. Moreover, they
// would all return equivalent results. We can therefore group them all into a
// fictitious `Missing` constructor.
//
// As an important optimization, this function will skip all the present constructors.
// This is correct because specializing with any of the present constructors would
// select a strict superset of the wildcard rows, and thus would only find witnesses
// already found with the `Missing` constructor.
// This does mean that diagnostics are incomplete: in
// ```
// match x {
// Some(true) => {}
// }
// ```
// we report `None` as missing but not `Some(false)`.
//
// When all the constructors are missing we can equivalently return the `Wildcard`
// constructor on its own. The difference between `Wildcard` and `Missing` will then
// only be in diagnostics.

// If some constructors are missing, we typically want to report those constructors,
// e.g.:
// ```
// enum Direction { N, S, E, W }
// let Direction::N = ...;
// ```
// we can report 3 witnesses: `S`, `E`, and `W`.
//
// However, if the user didn't actually specify a constructor
// in this arm, e.g., in
// ```
// let x: (Direction, Direction, bool) = ...;
// let (_, _, false) = x;
// ```
// we don't want to show all 16 possible witnesses `(<direction-1>, <direction-2>,
// true)` - we are satisfied with `(_, _, true)`. So if all constructors are missing we
// prefer to report just a wildcard `_`.
//
// The exception is: if we are at the top-level, for example in an empty match, we
// usually prefer to report the full list of constructors.
let all_missing = split_set.present.is_empty();
let report_when_all_missing =
pcx.is_top_level && !IntRange::is_integral(pcx.ty);
let ctor =
if all_missing && !report_when_all_missing { Wildcard } else { Missing };
smallvec![ctor]
} else {
split_set.present
}
}
// Fast-track if the range is trivial.
IntRange(this_range) if !this_range.is_singleton() => {
let column_ranges = ctors.filter_map(|ctor| ctor.as_int_range()).cloned();
this_range.split(column_ranges).map(|(_, range)| IntRange(range)).collect()
}
Slice(this_slice @ Slice { kind: VarLen(..), .. }) => {
let column_slices = ctors.filter_map(|c| c.as_slice());
this_slice.split(column_slices).map(|(_, slice)| Slice(slice)).collect()
}
// Any other constructor can be used unchanged.
_ => smallvec![self.clone()],
}
}

/// Returns whether `self` is covered by `other`, i.e. whether `self` is a subset of `other`.
/// For the simple cases, this is simply checking for equality. For the "grouped" constructors,
/// this checks for inclusion.
// We inline because this has a single call site in `Matrix::specialize_constructor`.
#[inline]
pub(super) fn is_covered_by<'p>(&self, pcx: &PatCtxt<'_, 'p, 'tcx>, other: &Self) -> bool {
// This must be kept in sync with `is_covered_by_any`.
match (self, other) {
// Wildcards cover anything
(_, Wildcard) => true,
Expand Down Expand Up @@ -943,23 +891,24 @@ pub(super) enum ConstructorSet {
/// `present` is morally the set of constructors present in the column, and `missing` is the set of
/// constructors that exist in the type but are not present in the column.
///
/// More formally, they respect the following constraints:
/// - the union of `present` and `missing` covers the whole type
/// - `present` and `missing` are disjoint
/// - neither contains wildcards
/// - each constructor in `present` is covered by some non-wildcard constructor in the column
/// - together, the constructors in `present` cover all the non-wildcard constructor in the column
/// - non-wildcards in the column do no cover anything in `missing`
/// - constructors in `present` and `missing` are split for the column; in other words, they are
/// either fully included in or disjoint from each constructor in the column. This avoids
/// non-trivial intersections like between `0..10` and `5..15`.
/// More formally, if we discard wildcards from the column, this respects the following constraints:
/// 1. the union of `present` and `missing` covers the whole type
/// 2. each constructor in `present` is covered by something in the column
/// 3. no constructor in `missing` is covered by anything in the column
/// 4. each constructor in the column is equal to the union of one or more constructors in `present`
/// 5. `missing` does not contain empty constructors (see discussion about emptiness at the top of
/// the file);
/// 6. constructors in `present` and `missing` are split for the column; in other words, they are
/// either fully included in or fully disjoint from each constructor in the column. In other
/// words, there are no non-trivial intersections like between `0..10` and `5..15`.
#[derive(Debug)]
pub(super) struct SplitConstructorSet<'tcx> {
pub(super) present: SmallVec<[Constructor<'tcx>; 1]>,
pub(super) missing: Vec<Constructor<'tcx>>,
}

impl ConstructorSet {
/// Creates a set that represents all the constructors of `ty`.
#[instrument(level = "debug", skip(cx), ret)]
pub(super) fn for_ty<'p, 'tcx>(cx: &MatchCheckCtxt<'p, 'tcx>, ty: Ty<'tcx>) -> Self {
let make_range = |start, end| {
Expand Down Expand Up @@ -1095,9 +1044,10 @@ impl ConstructorSet {
}
}

/// This is the core logical operation of exhaustiveness checking. This analyzes a column a
/// constructors to 1/ determine which constructors of the type (if any) are missing; 2/ split
/// constructors to handle non-trivial intersections e.g. on ranges or slices.
/// This analyzes a column of constructors to 1/ determine which constructors of the type (if
/// any) are missing; 2/ split constructors to handle non-trivial intersections e.g. on ranges
/// or slices. This can get subtle; see [`SplitConstructorSet`] for details of this operation
/// and its invariants.
#[instrument(level = "debug", skip(self, pcx, ctors), ret)]
pub(super) fn split<'a, 'tcx>(
&self,
Expand Down Expand Up @@ -1244,19 +1194,6 @@ impl ConstructorSet {

SplitConstructorSet { present, missing }
}

/// Compute the set of constructors missing from this column.
/// This is only used for reporting to the user.
pub(super) fn compute_missing<'a, 'tcx>(
&self,
pcx: &PatCtxt<'_, '_, 'tcx>,
ctors: impl Iterator<Item = &'a Constructor<'tcx>> + Clone,
) -> Vec<Constructor<'tcx>>
where
'tcx: 'a,
{
self.split(pcx, ctors).missing
}
}

/// A value can be decomposed into a constructor applied to some fields. This struct represents
Expand Down Expand Up @@ -1422,6 +1359,8 @@ impl<'p, 'tcx> DeconstructedPat<'p, 'tcx> {
DeconstructedPat { ctor, fields, ty, span, reachable: Cell::new(false) }
}

/// Note: the input patterns must have been lowered through
/// `super::check_match::MatchVisitor::lower_pattern`.
pub(crate) fn from_pat(cx: &MatchCheckCtxt<'p, 'tcx>, pat: &Pat<'tcx>) -> Self {
let mkpat = |pat| DeconstructedPat::from_pat(cx, pat);
let ctor;
Expand Down Expand Up @@ -1697,7 +1636,17 @@ impl<'p, 'tcx> DeconstructedPat<'p, 'tcx> {
self.reachable.set(true)
}
pub(super) fn is_reachable(&self) -> bool {
self.reachable.get()
if self.reachable.get() {
true
} else if self.is_or_pat() && self.iter_fields().any(|f| f.is_reachable()) {
// We always expand or patterns in the matrix, so we will never see the actual
// or-pattern (the one with constructor `Or`) in the column. As such, it will not be
// marked as reachable itself, only its children will. We recover this information here.
self.set_reachable();
true
} else {
false
}
}

/// Report the spans of subpatterns that were not reachable, if any.
Expand All @@ -1706,7 +1655,6 @@ impl<'p, 'tcx> DeconstructedPat<'p, 'tcx> {
self.collect_unreachable_spans(&mut spans);
spans
}

fn collect_unreachable_spans(&self, spans: &mut Vec<Span>) {
// We don't look at subpatterns if we already reported the whole pattern as unreachable.
if !self.is_reachable() {
Expand Down
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