rust/compiler/rustc_index/src/bit_set.rs

2065 lines
71 KiB
Rust

use std::marker::PhantomData;
use std::ops::{BitAnd, BitAndAssign, BitOrAssign, Bound, Not, Range, RangeBounds, Shl};
use std::rc::Rc;
use std::{fmt, iter, mem, slice};
use Chunk::*;
use arrayvec::ArrayVec;
#[cfg(feature = "nightly")]
use rustc_macros::{Decodable_Generic, Encodable_Generic};
use smallvec::{SmallVec, smallvec};
use crate::{Idx, IndexVec};
#[cfg(test)]
mod tests;
type Word = u64;
const WORD_BYTES: usize = mem::size_of::<Word>();
const WORD_BITS: usize = WORD_BYTES * 8;
// The choice of chunk size has some trade-offs.
//
// A big chunk size tends to favour cases where many large `ChunkedBitSet`s are
// present, because they require fewer `Chunk`s, reducing the number of
// allocations and reducing peak memory usage. Also, fewer chunk operations are
// required, though more of them might be `Mixed`.
//
// A small chunk size tends to favour cases where many small `ChunkedBitSet`s
// are present, because less space is wasted at the end of the final chunk (if
// it's not full).
const CHUNK_WORDS: usize = 32;
const CHUNK_BITS: usize = CHUNK_WORDS * WORD_BITS; // 2048 bits
/// ChunkSize is small to keep `Chunk` small. The static assertion ensures it's
/// not too small.
type ChunkSize = u16;
const _: () = assert!(CHUNK_BITS <= ChunkSize::MAX as usize);
pub trait BitRelations<Rhs> {
fn union(&mut self, other: &Rhs) -> bool;
fn subtract(&mut self, other: &Rhs) -> bool;
fn intersect(&mut self, other: &Rhs) -> bool;
}
#[inline]
fn inclusive_start_end<T: Idx>(
range: impl RangeBounds<T>,
domain: usize,
) -> Option<(usize, usize)> {
// Both start and end are inclusive.
let start = match range.start_bound().cloned() {
Bound::Included(start) => start.index(),
Bound::Excluded(start) => start.index() + 1,
Bound::Unbounded => 0,
};
let end = match range.end_bound().cloned() {
Bound::Included(end) => end.index(),
Bound::Excluded(end) => end.index().checked_sub(1)?,
Bound::Unbounded => domain - 1,
};
assert!(end < domain);
if start > end {
return None;
}
Some((start, end))
}
macro_rules! bit_relations_inherent_impls {
() => {
/// Sets `self = self | other` and returns `true` if `self` changed
/// (i.e., if new bits were added).
pub fn union<Rhs>(&mut self, other: &Rhs) -> bool
where
Self: BitRelations<Rhs>,
{
<Self as BitRelations<Rhs>>::union(self, other)
}
/// Sets `self = self - other` and returns `true` if `self` changed.
/// (i.e., if any bits were removed).
pub fn subtract<Rhs>(&mut self, other: &Rhs) -> bool
where
Self: BitRelations<Rhs>,
{
<Self as BitRelations<Rhs>>::subtract(self, other)
}
/// Sets `self = self & other` and return `true` if `self` changed.
/// (i.e., if any bits were removed).
pub fn intersect<Rhs>(&mut self, other: &Rhs) -> bool
where
Self: BitRelations<Rhs>,
{
<Self as BitRelations<Rhs>>::intersect(self, other)
}
};
}
/// A fixed-size bitset type with a dense representation.
///
/// NOTE: Use [`GrowableBitSet`] if you need support for resizing after creation.
///
/// `T` is an index type, typically a newtyped `usize` wrapper, but it can also
/// just be `usize`.
///
/// All operations that involve an element will panic if the element is equal
/// to or greater than the domain size. All operations that involve two bitsets
/// will panic if the bitsets have differing domain sizes.
///
#[cfg_attr(feature = "nightly", derive(Decodable_Generic, Encodable_Generic))]
#[derive(Eq, PartialEq, Hash)]
pub struct BitSet<T> {
domain_size: usize,
words: SmallVec<[Word; 2]>,
marker: PhantomData<T>,
}
impl<T> BitSet<T> {
/// Gets the domain size.
pub fn domain_size(&self) -> usize {
self.domain_size
}
}
impl<T: Idx> BitSet<T> {
/// Creates a new, empty bitset with a given `domain_size`.
#[inline]
pub fn new_empty(domain_size: usize) -> BitSet<T> {
let num_words = num_words(domain_size);
BitSet { domain_size, words: smallvec![0; num_words], marker: PhantomData }
}
/// Creates a new, filled bitset with a given `domain_size`.
#[inline]
pub fn new_filled(domain_size: usize) -> BitSet<T> {
let num_words = num_words(domain_size);
let mut result =
BitSet { domain_size, words: smallvec![!0; num_words], marker: PhantomData };
result.clear_excess_bits();
result
}
/// Clear all elements.
#[inline]
pub fn clear(&mut self) {
self.words.fill(0);
}
/// Clear excess bits in the final word.
fn clear_excess_bits(&mut self) {
clear_excess_bits_in_final_word(self.domain_size, &mut self.words);
}
/// Count the number of set bits in the set.
pub fn count(&self) -> usize {
self.words.iter().map(|e| e.count_ones() as usize).sum()
}
/// Returns `true` if `self` contains `elem`.
#[inline]
pub fn contains(&self, elem: T) -> bool {
assert!(elem.index() < self.domain_size);
let (word_index, mask) = word_index_and_mask(elem);
(self.words[word_index] & mask) != 0
}
/// Is `self` is a (non-strict) superset of `other`?
#[inline]
pub fn superset(&self, other: &BitSet<T>) -> bool {
assert_eq!(self.domain_size, other.domain_size);
self.words.iter().zip(&other.words).all(|(a, b)| (a & b) == *b)
}
/// Is the set empty?
#[inline]
pub fn is_empty(&self) -> bool {
self.words.iter().all(|a| *a == 0)
}
/// Insert `elem`. Returns whether the set has changed.
#[inline]
pub fn insert(&mut self, elem: T) -> bool {
assert!(elem.index() < self.domain_size);
let (word_index, mask) = word_index_and_mask(elem);
let word_ref = &mut self.words[word_index];
let word = *word_ref;
let new_word = word | mask;
*word_ref = new_word;
new_word != word
}
#[inline]
pub fn insert_range(&mut self, elems: impl RangeBounds<T>) {
let Some((start, end)) = inclusive_start_end(elems, self.domain_size) else {
return;
};
let (start_word_index, start_mask) = word_index_and_mask(start);
let (end_word_index, end_mask) = word_index_and_mask(end);
// Set all words in between start and end (exclusively of both).
for word_index in (start_word_index + 1)..end_word_index {
self.words[word_index] = !0;
}
if start_word_index != end_word_index {
// Start and end are in different words, so we handle each in turn.
//
// We set all leading bits. This includes the start_mask bit.
self.words[start_word_index] |= !(start_mask - 1);
// And all trailing bits (i.e. from 0..=end) in the end word,
// including the end.
self.words[end_word_index] |= end_mask | (end_mask - 1);
} else {
self.words[start_word_index] |= end_mask | (end_mask - start_mask);
}
}
/// Sets all bits to true.
pub fn insert_all(&mut self) {
self.words.fill(!0);
self.clear_excess_bits();
}
/// Returns `true` if the set has changed.
#[inline]
pub fn remove(&mut self, elem: T) -> bool {
assert!(elem.index() < self.domain_size);
let (word_index, mask) = word_index_and_mask(elem);
let word_ref = &mut self.words[word_index];
let word = *word_ref;
let new_word = word & !mask;
*word_ref = new_word;
new_word != word
}
/// Iterates over the indices of set bits in a sorted order.
#[inline]
pub fn iter(&self) -> BitIter<'_, T> {
BitIter::new(&self.words)
}
/// Set `self = self | other`. In contrast to `union` returns `true` if the set contains at
/// least one bit that is not in `other` (i.e. `other` is not a superset of `self`).
///
/// This is an optimization for union of a hybrid bitset.
fn reverse_union_sparse(&mut self, sparse: &SparseBitSet<T>) -> bool {
assert!(sparse.domain_size == self.domain_size);
self.clear_excess_bits();
let mut not_already = false;
// Index of the current word not yet merged.
let mut current_index = 0;
// Mask of bits that came from the sparse set in the current word.
let mut new_bit_mask = 0;
for (word_index, mask) in sparse.iter().map(|x| word_index_and_mask(*x)) {
// Next bit is in a word not inspected yet.
if word_index > current_index {
self.words[current_index] |= new_bit_mask;
// Were there any bits in the old word that did not occur in the sparse set?
not_already |= (self.words[current_index] ^ new_bit_mask) != 0;
// Check all words we skipped for any set bit.
not_already |= self.words[current_index + 1..word_index].iter().any(|&x| x != 0);
// Update next word.
current_index = word_index;
// Reset bit mask, no bits have been merged yet.
new_bit_mask = 0;
}
// Add bit and mark it as coming from the sparse set.
// self.words[word_index] |= mask;
new_bit_mask |= mask;
}
self.words[current_index] |= new_bit_mask;
// Any bits in the last inspected word that were not in the sparse set?
not_already |= (self.words[current_index] ^ new_bit_mask) != 0;
// Any bits in the tail? Note `clear_excess_bits` before.
not_already |= self.words[current_index + 1..].iter().any(|&x| x != 0);
not_already
}
pub fn last_set_in(&self, range: impl RangeBounds<T>) -> Option<T> {
let (start, end) = inclusive_start_end(range, self.domain_size)?;
let (start_word_index, _) = word_index_and_mask(start);
let (end_word_index, end_mask) = word_index_and_mask(end);
let end_word = self.words[end_word_index] & (end_mask | (end_mask - 1));
if end_word != 0 {
let pos = max_bit(end_word) + WORD_BITS * end_word_index;
if start <= pos {
return Some(T::new(pos));
}
}
// We exclude end_word_index from the range here, because we don't want
// to limit ourselves to *just* the last word: the bits set it in may be
// after `end`, so it may not work out.
if let Some(offset) =
self.words[start_word_index..end_word_index].iter().rposition(|&w| w != 0)
{
let word_idx = start_word_index + offset;
let start_word = self.words[word_idx];
let pos = max_bit(start_word) + WORD_BITS * word_idx;
if start <= pos {
return Some(T::new(pos));
}
}
None
}
bit_relations_inherent_impls! {}
}
// dense REL dense
impl<T: Idx> BitRelations<BitSet<T>> for BitSet<T> {
fn union(&mut self, other: &BitSet<T>) -> bool {
assert_eq!(self.domain_size, other.domain_size);
bitwise(&mut self.words, &other.words, |a, b| a | b)
}
fn subtract(&mut self, other: &BitSet<T>) -> bool {
assert_eq!(self.domain_size, other.domain_size);
bitwise(&mut self.words, &other.words, |a, b| a & !b)
}
fn intersect(&mut self, other: &BitSet<T>) -> bool {
assert_eq!(self.domain_size, other.domain_size);
bitwise(&mut self.words, &other.words, |a, b| a & b)
}
}
impl<T: Idx> From<GrowableBitSet<T>> for BitSet<T> {
fn from(bit_set: GrowableBitSet<T>) -> Self {
bit_set.bit_set
}
}
/// A fixed-size bitset type with a partially dense, partially sparse
/// representation. The bitset is broken into chunks, and chunks that are all
/// zeros or all ones are represented and handled very efficiently.
///
/// This type is especially efficient for sets that typically have a large
/// `domain_size` with significant stretches of all zeros or all ones, and also
/// some stretches with lots of 0s and 1s mixed in a way that causes trouble
/// for `IntervalSet`.
///
/// `T` is an index type, typically a newtyped `usize` wrapper, but it can also
/// just be `usize`.
///
/// All operations that involve an element will panic if the element is equal
/// to or greater than the domain size. All operations that involve two bitsets
/// will panic if the bitsets have differing domain sizes.
#[derive(PartialEq, Eq)]
pub struct ChunkedBitSet<T> {
domain_size: usize,
/// The chunks. Each one contains exactly CHUNK_BITS values, except the
/// last one which contains 1..=CHUNK_BITS values.
chunks: Box<[Chunk]>,
marker: PhantomData<T>,
}
// Note: the chunk domain size is duplicated in each variant. This is a bit
// inconvenient, but it allows the type size to be smaller than if we had an
// outer struct containing a chunk domain size plus the `Chunk`, because the
// compiler can place the chunk domain size after the tag.
#[derive(Clone, Debug, PartialEq, Eq)]
enum Chunk {
/// A chunk that is all zeros; we don't represent the zeros explicitly.
Zeros(ChunkSize),
/// A chunk that is all ones; we don't represent the ones explicitly.
Ones(ChunkSize),
/// A chunk that has a mix of zeros and ones, which are represented
/// explicitly and densely. It never has all zeros or all ones.
///
/// If this is the final chunk there may be excess, unused words. This
/// turns out to be both simpler and have better performance than
/// allocating the minimum number of words, largely because we avoid having
/// to store the length, which would make this type larger. These excess
/// words are always be zero, as are any excess bits in the final in-use
/// word.
///
/// The second field is the count of 1s set in the chunk, and must satisfy
/// `0 < count < chunk_domain_size`.
///
/// The words are within an `Rc` because it's surprisingly common to
/// duplicate an entire chunk, e.g. in `ChunkedBitSet::clone_from()`, or
/// when a `Mixed` chunk is union'd into a `Zeros` chunk. When we do need
/// to modify a chunk we use `Rc::make_mut`.
Mixed(ChunkSize, ChunkSize, Rc<[Word; CHUNK_WORDS]>),
}
// This type is used a lot. Make sure it doesn't unintentionally get bigger.
#[cfg(target_pointer_width = "64")]
crate::static_assert_size!(Chunk, 16);
impl<T> ChunkedBitSet<T> {
pub fn domain_size(&self) -> usize {
self.domain_size
}
#[cfg(test)]
fn assert_valid(&self) {
if self.domain_size == 0 {
assert!(self.chunks.is_empty());
return;
}
assert!((self.chunks.len() - 1) * CHUNK_BITS <= self.domain_size);
assert!(self.chunks.len() * CHUNK_BITS >= self.domain_size);
for chunk in self.chunks.iter() {
chunk.assert_valid();
}
}
}
impl<T: Idx> ChunkedBitSet<T> {
/// Creates a new bitset with a given `domain_size` and chunk kind.
fn new(domain_size: usize, is_empty: bool) -> Self {
let chunks = if domain_size == 0 {
Box::new([])
} else {
// All the chunks have a chunk_domain_size of `CHUNK_BITS` except
// the final one.
let final_chunk_domain_size = {
let n = domain_size % CHUNK_BITS;
if n == 0 { CHUNK_BITS } else { n }
};
let mut chunks =
vec![Chunk::new(CHUNK_BITS, is_empty); num_chunks(domain_size)].into_boxed_slice();
*chunks.last_mut().unwrap() = Chunk::new(final_chunk_domain_size, is_empty);
chunks
};
ChunkedBitSet { domain_size, chunks, marker: PhantomData }
}
/// Creates a new, empty bitset with a given `domain_size`.
#[inline]
pub fn new_empty(domain_size: usize) -> Self {
ChunkedBitSet::new(domain_size, /* is_empty */ true)
}
/// Creates a new, filled bitset with a given `domain_size`.
#[inline]
pub fn new_filled(domain_size: usize) -> Self {
ChunkedBitSet::new(domain_size, /* is_empty */ false)
}
#[cfg(test)]
fn chunks(&self) -> &[Chunk] {
&self.chunks
}
/// Count the number of bits in the set.
pub fn count(&self) -> usize {
self.chunks.iter().map(|chunk| chunk.count()).sum()
}
/// Returns `true` if `self` contains `elem`.
#[inline]
pub fn contains(&self, elem: T) -> bool {
assert!(elem.index() < self.domain_size);
let chunk = &self.chunks[chunk_index(elem)];
match &chunk {
Zeros(_) => false,
Ones(_) => true,
Mixed(_, _, words) => {
let (word_index, mask) = chunk_word_index_and_mask(elem);
(words[word_index] & mask) != 0
}
}
}
#[inline]
pub fn iter(&self) -> ChunkedBitIter<'_, T> {
ChunkedBitIter::new(self)
}
/// Insert `elem`. Returns whether the set has changed.
pub fn insert(&mut self, elem: T) -> bool {
assert!(elem.index() < self.domain_size);
let chunk_index = chunk_index(elem);
let chunk = &mut self.chunks[chunk_index];
match *chunk {
Zeros(chunk_domain_size) => {
if chunk_domain_size > 1 {
#[cfg(feature = "nightly")]
let mut words = {
// We take some effort to avoid copying the words.
let words = Rc::<[Word; CHUNK_WORDS]>::new_zeroed();
// SAFETY: `words` can safely be all zeroes.
unsafe { words.assume_init() }
};
#[cfg(not(feature = "nightly"))]
let mut words = {
// FIXME: unconditionally use `Rc::new_zeroed` once it is stable (#63291).
let words = mem::MaybeUninit::<[Word; CHUNK_WORDS]>::zeroed();
// SAFETY: `words` can safely be all zeroes.
let words = unsafe { words.assume_init() };
// Unfortunate possibly-large copy
Rc::new(words)
};
let words_ref = Rc::get_mut(&mut words).unwrap();
let (word_index, mask) = chunk_word_index_and_mask(elem);
words_ref[word_index] |= mask;
*chunk = Mixed(chunk_domain_size, 1, words);
} else {
*chunk = Ones(chunk_domain_size);
}
true
}
Ones(_) => false,
Mixed(chunk_domain_size, ref mut count, ref mut words) => {
// We skip all the work if the bit is already set.
let (word_index, mask) = chunk_word_index_and_mask(elem);
if (words[word_index] & mask) == 0 {
*count += 1;
if *count < chunk_domain_size {
let words = Rc::make_mut(words);
words[word_index] |= mask;
} else {
*chunk = Ones(chunk_domain_size);
}
true
} else {
false
}
}
}
}
/// Sets all bits to true.
pub fn insert_all(&mut self) {
for chunk in self.chunks.iter_mut() {
*chunk = match *chunk {
Zeros(chunk_domain_size)
| Ones(chunk_domain_size)
| Mixed(chunk_domain_size, ..) => Ones(chunk_domain_size),
}
}
}
/// Returns `true` if the set has changed.
pub fn remove(&mut self, elem: T) -> bool {
assert!(elem.index() < self.domain_size);
let chunk_index = chunk_index(elem);
let chunk = &mut self.chunks[chunk_index];
match *chunk {
Zeros(_) => false,
Ones(chunk_domain_size) => {
if chunk_domain_size > 1 {
#[cfg(feature = "nightly")]
let mut words = {
// We take some effort to avoid copying the words.
let words = Rc::<[Word; CHUNK_WORDS]>::new_zeroed();
// SAFETY: `words` can safely be all zeroes.
unsafe { words.assume_init() }
};
#[cfg(not(feature = "nightly"))]
let mut words = {
// FIXME: unconditionally use `Rc::new_zeroed` once it is stable (#63291).
let words = mem::MaybeUninit::<[Word; CHUNK_WORDS]>::zeroed();
// SAFETY: `words` can safely be all zeroes.
let words = unsafe { words.assume_init() };
// Unfortunate possibly-large copy
Rc::new(words)
};
let words_ref = Rc::get_mut(&mut words).unwrap();
// Set only the bits in use.
let num_words = num_words(chunk_domain_size as usize);
words_ref[..num_words].fill(!0);
clear_excess_bits_in_final_word(
chunk_domain_size as usize,
&mut words_ref[..num_words],
);
let (word_index, mask) = chunk_word_index_and_mask(elem);
words_ref[word_index] &= !mask;
*chunk = Mixed(chunk_domain_size, chunk_domain_size - 1, words);
} else {
*chunk = Zeros(chunk_domain_size);
}
true
}
Mixed(chunk_domain_size, ref mut count, ref mut words) => {
// We skip all the work if the bit is already clear.
let (word_index, mask) = chunk_word_index_and_mask(elem);
if (words[word_index] & mask) != 0 {
*count -= 1;
if *count > 0 {
let words = Rc::make_mut(words);
words[word_index] &= !mask;
} else {
*chunk = Zeros(chunk_domain_size);
}
true
} else {
false
}
}
}
}
bit_relations_inherent_impls! {}
}
impl<T: Idx> BitRelations<ChunkedBitSet<T>> for ChunkedBitSet<T> {
fn union(&mut self, other: &ChunkedBitSet<T>) -> bool {
assert_eq!(self.domain_size, other.domain_size);
debug_assert_eq!(self.chunks.len(), other.chunks.len());
let mut changed = false;
for (mut self_chunk, other_chunk) in self.chunks.iter_mut().zip(other.chunks.iter()) {
match (&mut self_chunk, &other_chunk) {
(_, Zeros(_)) | (Ones(_), _) => {}
(Zeros(self_chunk_domain_size), Ones(other_chunk_domain_size))
| (Mixed(self_chunk_domain_size, ..), Ones(other_chunk_domain_size))
| (Zeros(self_chunk_domain_size), Mixed(other_chunk_domain_size, ..)) => {
// `other_chunk` fully overwrites `self_chunk`
debug_assert_eq!(self_chunk_domain_size, other_chunk_domain_size);
*self_chunk = other_chunk.clone();
changed = true;
}
(
Mixed(
self_chunk_domain_size,
ref mut self_chunk_count,
ref mut self_chunk_words,
),
Mixed(_other_chunk_domain_size, _other_chunk_count, other_chunk_words),
) => {
// First check if the operation would change
// `self_chunk.words`. If not, we can avoid allocating some
// words, and this happens often enough that it's a
// performance win. Also, we only need to operate on the
// in-use words, hence the slicing.
let op = |a, b| a | b;
let num_words = num_words(*self_chunk_domain_size as usize);
if bitwise_changes(
&self_chunk_words[0..num_words],
&other_chunk_words[0..num_words],
op,
) {
let self_chunk_words = Rc::make_mut(self_chunk_words);
let has_changed = bitwise(
&mut self_chunk_words[0..num_words],
&other_chunk_words[0..num_words],
op,
);
debug_assert!(has_changed);
*self_chunk_count = self_chunk_words[0..num_words]
.iter()
.map(|w| w.count_ones() as ChunkSize)
.sum();
if *self_chunk_count == *self_chunk_domain_size {
*self_chunk = Ones(*self_chunk_domain_size);
}
changed = true;
}
}
}
}
changed
}
fn subtract(&mut self, _other: &ChunkedBitSet<T>) -> bool {
unimplemented!("implement if/when necessary");
}
fn intersect(&mut self, _other: &ChunkedBitSet<T>) -> bool {
unimplemented!("implement if/when necessary");
}
}
impl<T: Idx> BitRelations<HybridBitSet<T>> for ChunkedBitSet<T> {
fn union(&mut self, other: &HybridBitSet<T>) -> bool {
// FIXME: This is slow if `other` is dense, but it hasn't been a problem
// in practice so far.
// If a faster implementation of this operation is required, consider
// reopening https://github.com/rust-lang/rust/pull/94625
assert_eq!(self.domain_size, other.domain_size());
sequential_update(|elem| self.insert(elem), other.iter())
}
fn subtract(&mut self, other: &HybridBitSet<T>) -> bool {
// FIXME: This is slow if `other` is dense, but it hasn't been a problem
// in practice so far.
// If a faster implementation of this operation is required, consider
// reopening https://github.com/rust-lang/rust/pull/94625
assert_eq!(self.domain_size, other.domain_size());
sequential_update(|elem| self.remove(elem), other.iter())
}
fn intersect(&mut self, _other: &HybridBitSet<T>) -> bool {
unimplemented!("implement if/when necessary");
}
}
impl<T: Idx> BitRelations<ChunkedBitSet<T>> for BitSet<T> {
fn union(&mut self, other: &ChunkedBitSet<T>) -> bool {
sequential_update(|elem| self.insert(elem), other.iter())
}
fn subtract(&mut self, _other: &ChunkedBitSet<T>) -> bool {
unimplemented!("implement if/when necessary");
}
fn intersect(&mut self, other: &ChunkedBitSet<T>) -> bool {
assert_eq!(self.domain_size(), other.domain_size);
let mut changed = false;
for (i, chunk) in other.chunks.iter().enumerate() {
let mut words = &mut self.words[i * CHUNK_WORDS..];
if words.len() > CHUNK_WORDS {
words = &mut words[..CHUNK_WORDS];
}
match chunk {
Chunk::Zeros(..) => {
for word in words {
if *word != 0 {
changed = true;
*word = 0;
}
}
}
Chunk::Ones(..) => (),
Chunk::Mixed(_, _, data) => {
for (i, word) in words.iter_mut().enumerate() {
let new_val = *word & data[i];
if new_val != *word {
changed = true;
*word = new_val;
}
}
}
}
}
changed
}
}
impl<T> Clone for ChunkedBitSet<T> {
fn clone(&self) -> Self {
ChunkedBitSet {
domain_size: self.domain_size,
chunks: self.chunks.clone(),
marker: PhantomData,
}
}
/// WARNING: this implementation of clone_from will panic if the two
/// bitsets have different domain sizes. This constraint is not inherent to
/// `clone_from`, but it works with the existing call sites and allows a
/// faster implementation, which is important because this function is hot.
fn clone_from(&mut self, from: &Self) {
assert_eq!(self.domain_size, from.domain_size);
debug_assert_eq!(self.chunks.len(), from.chunks.len());
self.chunks.clone_from(&from.chunks)
}
}
pub struct ChunkedBitIter<'a, T: Idx> {
index: usize,
bitset: &'a ChunkedBitSet<T>,
}
impl<'a, T: Idx> ChunkedBitIter<'a, T> {
#[inline]
fn new(bitset: &'a ChunkedBitSet<T>) -> ChunkedBitIter<'a, T> {
ChunkedBitIter { index: 0, bitset }
}
}
impl<'a, T: Idx> Iterator for ChunkedBitIter<'a, T> {
type Item = T;
fn next(&mut self) -> Option<T> {
while self.index < self.bitset.domain_size() {
let elem = T::new(self.index);
let chunk = &self.bitset.chunks[chunk_index(elem)];
match &chunk {
Zeros(chunk_domain_size) => {
self.index += *chunk_domain_size as usize;
}
Ones(_chunk_domain_size) => {
self.index += 1;
return Some(elem);
}
Mixed(_chunk_domain_size, _, words) => loop {
let elem = T::new(self.index);
self.index += 1;
let (word_index, mask) = chunk_word_index_and_mask(elem);
if (words[word_index] & mask) != 0 {
return Some(elem);
}
if self.index % CHUNK_BITS == 0 {
break;
}
},
}
}
None
}
fn fold<B, F>(mut self, mut init: B, mut f: F) -> B
where
F: FnMut(B, Self::Item) -> B,
{
// If `next` has already been called, we may not be at the start of a chunk, so we first
// advance the iterator to the start of the next chunk, before proceeding in chunk sized
// steps.
while self.index % CHUNK_BITS != 0 {
let Some(item) = self.next() else { return init };
init = f(init, item);
}
let start_chunk = self.index / CHUNK_BITS;
let chunks = &self.bitset.chunks[start_chunk..];
for (i, chunk) in chunks.iter().enumerate() {
let base = (start_chunk + i) * CHUNK_BITS;
match chunk {
Chunk::Zeros(_) => (),
Chunk::Ones(limit) => {
for j in 0..(*limit as usize) {
init = f(init, T::new(base + j));
}
}
Chunk::Mixed(_, _, words) => {
init = BitIter::new(&**words).fold(init, |val, mut item: T| {
item.increment_by(base);
f(val, item)
});
}
}
}
init
}
}
impl Chunk {
#[cfg(test)]
fn assert_valid(&self) {
match *self {
Zeros(chunk_domain_size) | Ones(chunk_domain_size) => {
assert!(chunk_domain_size as usize <= CHUNK_BITS);
}
Mixed(chunk_domain_size, count, ref words) => {
assert!(chunk_domain_size as usize <= CHUNK_BITS);
assert!(0 < count && count < chunk_domain_size);
// Check the number of set bits matches `count`.
assert_eq!(
words.iter().map(|w| w.count_ones() as ChunkSize).sum::<ChunkSize>(),
count
);
// Check the not-in-use words are all zeroed.
let num_words = num_words(chunk_domain_size as usize);
if num_words < CHUNK_WORDS {
assert_eq!(
words[num_words..]
.iter()
.map(|w| w.count_ones() as ChunkSize)
.sum::<ChunkSize>(),
0
);
}
}
}
}
fn new(chunk_domain_size: usize, is_empty: bool) -> Self {
debug_assert!(chunk_domain_size <= CHUNK_BITS);
let chunk_domain_size = chunk_domain_size as ChunkSize;
if is_empty { Zeros(chunk_domain_size) } else { Ones(chunk_domain_size) }
}
/// Count the number of 1s in the chunk.
fn count(&self) -> usize {
match *self {
Zeros(_) => 0,
Ones(chunk_domain_size) => chunk_domain_size as usize,
Mixed(_, count, _) => count as usize,
}
}
}
// Applies a function to mutate a bitset, and returns true if any
// of the applications return true
fn sequential_update<T: Idx>(
mut self_update: impl FnMut(T) -> bool,
it: impl Iterator<Item = T>,
) -> bool {
it.fold(false, |changed, elem| self_update(elem) | changed)
}
// Optimization of intersection for SparseBitSet that's generic
// over the RHS
fn sparse_intersect<T: Idx>(
set: &mut SparseBitSet<T>,
other_contains: impl Fn(&T) -> bool,
) -> bool {
let size = set.elems.len();
set.elems.retain(|elem| other_contains(elem));
set.elems.len() != size
}
// Optimization of dense/sparse intersection. The resulting set is
// guaranteed to be at most the size of the sparse set, and hence can be
// represented as a sparse set. Therefore the sparse set is copied and filtered,
// then returned as the new set.
fn dense_sparse_intersect<T: Idx>(
dense: &BitSet<T>,
sparse: &SparseBitSet<T>,
) -> (SparseBitSet<T>, bool) {
let mut sparse_copy = sparse.clone();
sparse_intersect(&mut sparse_copy, |el| dense.contains(*el));
let n = sparse_copy.len();
(sparse_copy, n != dense.count())
}
// hybrid REL dense
impl<T: Idx> BitRelations<BitSet<T>> for HybridBitSet<T> {
fn union(&mut self, other: &BitSet<T>) -> bool {
assert_eq!(self.domain_size(), other.domain_size);
match self {
HybridBitSet::Sparse(sparse) => {
// `self` is sparse and `other` is dense. To
// merge them, we have two available strategies:
// * Densify `self` then merge other
// * Clone other then integrate bits from `self`
// The second strategy requires dedicated method
// since the usual `union` returns the wrong
// result. In the dedicated case the computation
// is slightly faster if the bits of the sparse
// bitset map to only few words of the dense
// representation, i.e. indices are near each
// other.
//
// Benchmarking seems to suggest that the second
// option is worth it.
let mut new_dense = other.clone();
let changed = new_dense.reverse_union_sparse(sparse);
*self = HybridBitSet::Dense(new_dense);
changed
}
HybridBitSet::Dense(dense) => dense.union(other),
}
}
fn subtract(&mut self, other: &BitSet<T>) -> bool {
assert_eq!(self.domain_size(), other.domain_size);
match self {
HybridBitSet::Sparse(sparse) => {
sequential_update(|elem| sparse.remove(elem), other.iter())
}
HybridBitSet::Dense(dense) => dense.subtract(other),
}
}
fn intersect(&mut self, other: &BitSet<T>) -> bool {
assert_eq!(self.domain_size(), other.domain_size);
match self {
HybridBitSet::Sparse(sparse) => sparse_intersect(sparse, |elem| other.contains(*elem)),
HybridBitSet::Dense(dense) => dense.intersect(other),
}
}
}
// dense REL hybrid
impl<T: Idx> BitRelations<HybridBitSet<T>> for BitSet<T> {
fn union(&mut self, other: &HybridBitSet<T>) -> bool {
assert_eq!(self.domain_size, other.domain_size());
match other {
HybridBitSet::Sparse(sparse) => {
sequential_update(|elem| self.insert(elem), sparse.iter().cloned())
}
HybridBitSet::Dense(dense) => self.union(dense),
}
}
fn subtract(&mut self, other: &HybridBitSet<T>) -> bool {
assert_eq!(self.domain_size, other.domain_size());
match other {
HybridBitSet::Sparse(sparse) => {
sequential_update(|elem| self.remove(elem), sparse.iter().cloned())
}
HybridBitSet::Dense(dense) => self.subtract(dense),
}
}
fn intersect(&mut self, other: &HybridBitSet<T>) -> bool {
assert_eq!(self.domain_size, other.domain_size());
match other {
HybridBitSet::Sparse(sparse) => {
let (updated, changed) = dense_sparse_intersect(self, sparse);
// We can't directly assign the SparseBitSet to the BitSet, and
// doing `*self = updated.to_dense()` would cause a drop / reallocation. Instead,
// the BitSet is cleared and `updated` is copied into `self`.
self.clear();
for elem in updated.iter() {
self.insert(*elem);
}
changed
}
HybridBitSet::Dense(dense) => self.intersect(dense),
}
}
}
// hybrid REL hybrid
impl<T: Idx> BitRelations<HybridBitSet<T>> for HybridBitSet<T> {
fn union(&mut self, other: &HybridBitSet<T>) -> bool {
assert_eq!(self.domain_size(), other.domain_size());
match self {
HybridBitSet::Sparse(_) => {
match other {
HybridBitSet::Sparse(other_sparse) => {
// Both sets are sparse. Add the elements in
// `other_sparse` to `self` one at a time. This
// may or may not cause `self` to be densified.
let mut changed = false;
for elem in other_sparse.iter() {
changed |= self.insert(*elem);
}
changed
}
HybridBitSet::Dense(other_dense) => self.union(other_dense),
}
}
HybridBitSet::Dense(self_dense) => self_dense.union(other),
}
}
fn subtract(&mut self, other: &HybridBitSet<T>) -> bool {
assert_eq!(self.domain_size(), other.domain_size());
match self {
HybridBitSet::Sparse(self_sparse) => {
sequential_update(|elem| self_sparse.remove(elem), other.iter())
}
HybridBitSet::Dense(self_dense) => self_dense.subtract(other),
}
}
fn intersect(&mut self, other: &HybridBitSet<T>) -> bool {
assert_eq!(self.domain_size(), other.domain_size());
match self {
HybridBitSet::Sparse(self_sparse) => {
sparse_intersect(self_sparse, |elem| other.contains(*elem))
}
HybridBitSet::Dense(self_dense) => match other {
HybridBitSet::Sparse(other_sparse) => {
let (updated, changed) = dense_sparse_intersect(self_dense, other_sparse);
*self = HybridBitSet::Sparse(updated);
changed
}
HybridBitSet::Dense(other_dense) => self_dense.intersect(other_dense),
},
}
}
}
impl<T> Clone for BitSet<T> {
fn clone(&self) -> Self {
BitSet { domain_size: self.domain_size, words: self.words.clone(), marker: PhantomData }
}
fn clone_from(&mut self, from: &Self) {
self.domain_size = from.domain_size;
self.words.clone_from(&from.words);
}
}
impl<T: Idx> fmt::Debug for BitSet<T> {
fn fmt(&self, w: &mut fmt::Formatter<'_>) -> fmt::Result {
w.debug_list().entries(self.iter()).finish()
}
}
impl<T: Idx> fmt::Debug for ChunkedBitSet<T> {
fn fmt(&self, w: &mut fmt::Formatter<'_>) -> fmt::Result {
w.debug_list().entries(self.iter()).finish()
}
}
impl<T: Idx> ToString for BitSet<T> {
fn to_string(&self) -> String {
let mut result = String::new();
let mut sep = '[';
// Note: this is a little endian printout of bytes.
// i tracks how many bits we have printed so far.
let mut i = 0;
for word in &self.words {
let mut word = *word;
for _ in 0..WORD_BYTES {
// for each byte in `word`:
let remain = self.domain_size - i;
// If less than a byte remains, then mask just that many bits.
let mask = if remain <= 8 { (1 << remain) - 1 } else { 0xFF };
assert!(mask <= 0xFF);
let byte = word & mask;
result.push_str(&format!("{sep}{byte:02x}"));
if remain <= 8 {
break;
}
word >>= 8;
i += 8;
sep = '-';
}
sep = '|';
}
result.push(']');
result
}
}
pub struct BitIter<'a, T: Idx> {
/// A copy of the current word, but with any already-visited bits cleared.
/// (This lets us use `trailing_zeros()` to find the next set bit.) When it
/// is reduced to 0, we move onto the next word.
word: Word,
/// The offset (measured in bits) of the current word.
offset: usize,
/// Underlying iterator over the words.
iter: slice::Iter<'a, Word>,
marker: PhantomData<T>,
}
impl<'a, T: Idx> BitIter<'a, T> {
#[inline]
fn new(words: &'a [Word]) -> BitIter<'a, T> {
// We initialize `word` and `offset` to degenerate values. On the first
// call to `next()` we will fall through to getting the first word from
// `iter`, which sets `word` to the first word (if there is one) and
// `offset` to 0. Doing it this way saves us from having to maintain
// additional state about whether we have started.
BitIter {
word: 0,
offset: usize::MAX - (WORD_BITS - 1),
iter: words.iter(),
marker: PhantomData,
}
}
}
impl<'a, T: Idx> Iterator for BitIter<'a, T> {
type Item = T;
fn next(&mut self) -> Option<T> {
loop {
if self.word != 0 {
// Get the position of the next set bit in the current word,
// then clear the bit.
let bit_pos = self.word.trailing_zeros() as usize;
let bit = 1 << bit_pos;
self.word ^= bit;
return Some(T::new(bit_pos + self.offset));
}
// Move onto the next word. `wrapping_add()` is needed to handle
// the degenerate initial value given to `offset` in `new()`.
let word = self.iter.next()?;
self.word = *word;
self.offset = self.offset.wrapping_add(WORD_BITS);
}
}
}
#[inline]
fn bitwise<Op>(out_vec: &mut [Word], in_vec: &[Word], op: Op) -> bool
where
Op: Fn(Word, Word) -> Word,
{
assert_eq!(out_vec.len(), in_vec.len());
let mut changed = 0;
for (out_elem, in_elem) in iter::zip(out_vec, in_vec) {
let old_val = *out_elem;
let new_val = op(old_val, *in_elem);
*out_elem = new_val;
// This is essentially equivalent to a != with changed being a bool, but
// in practice this code gets auto-vectorized by the compiler for most
// operators. Using != here causes us to generate quite poor code as the
// compiler tries to go back to a boolean on each loop iteration.
changed |= old_val ^ new_val;
}
changed != 0
}
/// Does this bitwise operation change `out_vec`?
#[inline]
fn bitwise_changes<Op>(out_vec: &[Word], in_vec: &[Word], op: Op) -> bool
where
Op: Fn(Word, Word) -> Word,
{
assert_eq!(out_vec.len(), in_vec.len());
for (out_elem, in_elem) in iter::zip(out_vec, in_vec) {
let old_val = *out_elem;
let new_val = op(old_val, *in_elem);
if old_val != new_val {
return true;
}
}
false
}
const SPARSE_MAX: usize = 8;
/// A fixed-size bitset type with a sparse representation and a maximum of
/// `SPARSE_MAX` elements. The elements are stored as a sorted `ArrayVec` with
/// no duplicates.
///
/// This type is used by `HybridBitSet`; do not use directly.
#[derive(Clone, Debug)]
pub struct SparseBitSet<T> {
domain_size: usize,
elems: ArrayVec<T, SPARSE_MAX>,
}
impl<T: Idx> SparseBitSet<T> {
fn new_empty(domain_size: usize) -> Self {
SparseBitSet { domain_size, elems: ArrayVec::new() }
}
fn len(&self) -> usize {
self.elems.len()
}
fn is_empty(&self) -> bool {
self.elems.len() == 0
}
fn contains(&self, elem: T) -> bool {
assert!(elem.index() < self.domain_size);
self.elems.contains(&elem)
}
fn insert(&mut self, elem: T) -> bool {
assert!(elem.index() < self.domain_size);
let changed = if let Some(i) = self.elems.iter().position(|&e| e.index() >= elem.index()) {
if self.elems[i] == elem {
// `elem` is already in the set.
false
} else {
// `elem` is smaller than one or more existing elements.
self.elems.insert(i, elem);
true
}
} else {
// `elem` is larger than all existing elements.
self.elems.push(elem);
true
};
assert!(self.len() <= SPARSE_MAX);
changed
}
fn remove(&mut self, elem: T) -> bool {
assert!(elem.index() < self.domain_size);
if let Some(i) = self.elems.iter().position(|&e| e == elem) {
self.elems.remove(i);
true
} else {
false
}
}
fn to_dense(&self) -> BitSet<T> {
let mut dense = BitSet::new_empty(self.domain_size);
for elem in self.elems.iter() {
dense.insert(*elem);
}
dense
}
fn iter(&self) -> slice::Iter<'_, T> {
self.elems.iter()
}
bit_relations_inherent_impls! {}
}
impl<T: Idx + Ord> SparseBitSet<T> {
pub fn last_set_in(&self, range: impl RangeBounds<T>) -> Option<T> {
let mut last_leq = None;
for e in self.iter() {
if range.contains(e) {
last_leq = Some(*e);
}
}
last_leq
}
}
/// A fixed-size bitset type with a hybrid representation: sparse when there
/// are up to a `SPARSE_MAX` elements in the set, but dense when there are more
/// than `SPARSE_MAX`.
///
/// This type is especially efficient for sets that typically have a small
/// number of elements, but a large `domain_size`, and are cleared frequently.
///
/// `T` is an index type, typically a newtyped `usize` wrapper, but it can also
/// just be `usize`.
///
/// All operations that involve an element will panic if the element is equal
/// to or greater than the domain size. All operations that involve two bitsets
/// will panic if the bitsets have differing domain sizes.
#[derive(Clone)]
pub enum HybridBitSet<T> {
Sparse(SparseBitSet<T>),
Dense(BitSet<T>),
}
impl<T: Idx> fmt::Debug for HybridBitSet<T> {
fn fmt(&self, w: &mut fmt::Formatter<'_>) -> fmt::Result {
match self {
Self::Sparse(b) => b.fmt(w),
Self::Dense(b) => b.fmt(w),
}
}
}
impl<T: Idx> HybridBitSet<T> {
pub fn new_empty(domain_size: usize) -> Self {
HybridBitSet::Sparse(SparseBitSet::new_empty(domain_size))
}
pub fn domain_size(&self) -> usize {
match self {
HybridBitSet::Sparse(sparse) => sparse.domain_size,
HybridBitSet::Dense(dense) => dense.domain_size,
}
}
pub fn clear(&mut self) {
let domain_size = self.domain_size();
*self = HybridBitSet::new_empty(domain_size);
}
pub fn contains(&self, elem: T) -> bool {
match self {
HybridBitSet::Sparse(sparse) => sparse.contains(elem),
HybridBitSet::Dense(dense) => dense.contains(elem),
}
}
pub fn superset(&self, other: &HybridBitSet<T>) -> bool {
match (self, other) {
(HybridBitSet::Dense(self_dense), HybridBitSet::Dense(other_dense)) => {
self_dense.superset(other_dense)
}
_ => {
assert!(self.domain_size() == other.domain_size());
other.iter().all(|elem| self.contains(elem))
}
}
}
pub fn is_empty(&self) -> bool {
match self {
HybridBitSet::Sparse(sparse) => sparse.is_empty(),
HybridBitSet::Dense(dense) => dense.is_empty(),
}
}
/// Returns the previous element present in the bitset from `elem`,
/// inclusively of elem. That is, will return `Some(elem)` if elem is in the
/// bitset.
pub fn last_set_in(&self, range: impl RangeBounds<T>) -> Option<T>
where
T: Ord,
{
match self {
HybridBitSet::Sparse(sparse) => sparse.last_set_in(range),
HybridBitSet::Dense(dense) => dense.last_set_in(range),
}
}
pub fn insert(&mut self, elem: T) -> bool {
// No need to check `elem` against `self.domain_size` here because all
// the match cases check it, one way or another.
match self {
HybridBitSet::Sparse(sparse) if sparse.len() < SPARSE_MAX => {
// The set is sparse and has space for `elem`.
sparse.insert(elem)
}
HybridBitSet::Sparse(sparse) if sparse.contains(elem) => {
// The set is sparse and does not have space for `elem`, but
// that doesn't matter because `elem` is already present.
false
}
HybridBitSet::Sparse(sparse) => {
// The set is sparse and full. Convert to a dense set.
let mut dense = sparse.to_dense();
let changed = dense.insert(elem);
assert!(changed);
*self = HybridBitSet::Dense(dense);
changed
}
HybridBitSet::Dense(dense) => dense.insert(elem),
}
}
pub fn insert_range(&mut self, elems: impl RangeBounds<T>) {
// No need to check `elem` against `self.domain_size` here because all
// the match cases check it, one way or another.
let start = match elems.start_bound().cloned() {
Bound::Included(start) => start.index(),
Bound::Excluded(start) => start.index() + 1,
Bound::Unbounded => 0,
};
let end = match elems.end_bound().cloned() {
Bound::Included(end) => end.index() + 1,
Bound::Excluded(end) => end.index(),
Bound::Unbounded => self.domain_size() - 1,
};
let Some(len) = end.checked_sub(start) else { return };
match self {
HybridBitSet::Sparse(sparse) if sparse.len() + len < SPARSE_MAX => {
// The set is sparse and has space for `elems`.
for elem in start..end {
sparse.insert(T::new(elem));
}
}
HybridBitSet::Sparse(sparse) => {
// The set is sparse and full. Convert to a dense set.
let mut dense = sparse.to_dense();
dense.insert_range(elems);
*self = HybridBitSet::Dense(dense);
}
HybridBitSet::Dense(dense) => dense.insert_range(elems),
}
}
pub fn insert_all(&mut self) {
let domain_size = self.domain_size();
match self {
HybridBitSet::Sparse(_) => {
*self = HybridBitSet::Dense(BitSet::new_filled(domain_size));
}
HybridBitSet::Dense(dense) => dense.insert_all(),
}
}
pub fn remove(&mut self, elem: T) -> bool {
// Note: we currently don't bother going from Dense back to Sparse.
match self {
HybridBitSet::Sparse(sparse) => sparse.remove(elem),
HybridBitSet::Dense(dense) => dense.remove(elem),
}
}
/// Converts to a dense set, consuming itself in the process.
pub fn to_dense(self) -> BitSet<T> {
match self {
HybridBitSet::Sparse(sparse) => sparse.to_dense(),
HybridBitSet::Dense(dense) => dense,
}
}
pub fn iter(&self) -> HybridIter<'_, T> {
match self {
HybridBitSet::Sparse(sparse) => HybridIter::Sparse(sparse.iter()),
HybridBitSet::Dense(dense) => HybridIter::Dense(dense.iter()),
}
}
bit_relations_inherent_impls! {}
}
pub enum HybridIter<'a, T: Idx> {
Sparse(slice::Iter<'a, T>),
Dense(BitIter<'a, T>),
}
impl<'a, T: Idx> Iterator for HybridIter<'a, T> {
type Item = T;
fn next(&mut self) -> Option<T> {
match self {
HybridIter::Sparse(sparse) => sparse.next().copied(),
HybridIter::Dense(dense) => dense.next(),
}
}
}
/// A resizable bitset type with a dense representation.
///
/// `T` is an index type, typically a newtyped `usize` wrapper, but it can also
/// just be `usize`.
///
/// All operations that involve an element will panic if the element is equal
/// to or greater than the domain size.
#[derive(Clone, Debug, PartialEq)]
pub struct GrowableBitSet<T: Idx> {
bit_set: BitSet<T>,
}
impl<T: Idx> Default for GrowableBitSet<T> {
fn default() -> Self {
GrowableBitSet::new_empty()
}
}
impl<T: Idx> GrowableBitSet<T> {
/// Ensure that the set can hold at least `min_domain_size` elements.
pub fn ensure(&mut self, min_domain_size: usize) {
if self.bit_set.domain_size < min_domain_size {
self.bit_set.domain_size = min_domain_size;
}
let min_num_words = num_words(min_domain_size);
if self.bit_set.words.len() < min_num_words {
self.bit_set.words.resize(min_num_words, 0)
}
}
pub fn new_empty() -> GrowableBitSet<T> {
GrowableBitSet { bit_set: BitSet::new_empty(0) }
}
pub fn with_capacity(capacity: usize) -> GrowableBitSet<T> {
GrowableBitSet { bit_set: BitSet::new_empty(capacity) }
}
/// Returns `true` if the set has changed.
#[inline]
pub fn insert(&mut self, elem: T) -> bool {
self.ensure(elem.index() + 1);
self.bit_set.insert(elem)
}
/// Returns `true` if the set has changed.
#[inline]
pub fn remove(&mut self, elem: T) -> bool {
self.ensure(elem.index() + 1);
self.bit_set.remove(elem)
}
#[inline]
pub fn is_empty(&self) -> bool {
self.bit_set.is_empty()
}
#[inline]
pub fn contains(&self, elem: T) -> bool {
let (word_index, mask) = word_index_and_mask(elem);
self.bit_set.words.get(word_index).is_some_and(|word| (word & mask) != 0)
}
#[inline]
pub fn iter(&self) -> BitIter<'_, T> {
self.bit_set.iter()
}
#[inline]
pub fn len(&self) -> usize {
self.bit_set.count()
}
}
impl<T: Idx> From<BitSet<T>> for GrowableBitSet<T> {
fn from(bit_set: BitSet<T>) -> Self {
Self { bit_set }
}
}
/// A fixed-size 2D bit matrix type with a dense representation.
///
/// `R` and `C` are index types used to identify rows and columns respectively;
/// typically newtyped `usize` wrappers, but they can also just be `usize`.
///
/// All operations that involve a row and/or column index will panic if the
/// index exceeds the relevant bound.
#[cfg_attr(feature = "nightly", derive(Decodable_Generic, Encodable_Generic))]
#[derive(Clone, Eq, PartialEq, Hash)]
pub struct BitMatrix<R: Idx, C: Idx> {
num_rows: usize,
num_columns: usize,
words: SmallVec<[Word; 2]>,
marker: PhantomData<(R, C)>,
}
impl<R: Idx, C: Idx> BitMatrix<R, C> {
/// Creates a new `rows x columns` matrix, initially empty.
pub fn new(num_rows: usize, num_columns: usize) -> BitMatrix<R, C> {
// For every element, we need one bit for every other
// element. Round up to an even number of words.
let words_per_row = num_words(num_columns);
BitMatrix {
num_rows,
num_columns,
words: smallvec![0; num_rows * words_per_row],
marker: PhantomData,
}
}
/// Creates a new matrix, with `row` used as the value for every row.
pub fn from_row_n(row: &BitSet<C>, num_rows: usize) -> BitMatrix<R, C> {
let num_columns = row.domain_size();
let words_per_row = num_words(num_columns);
assert_eq!(words_per_row, row.words.len());
BitMatrix {
num_rows,
num_columns,
words: iter::repeat(&row.words).take(num_rows).flatten().cloned().collect(),
marker: PhantomData,
}
}
pub fn rows(&self) -> impl Iterator<Item = R> {
(0..self.num_rows).map(R::new)
}
/// The range of bits for a given row.
fn range(&self, row: R) -> (usize, usize) {
let words_per_row = num_words(self.num_columns);
let start = row.index() * words_per_row;
(start, start + words_per_row)
}
/// Sets the cell at `(row, column)` to true. Put another way, insert
/// `column` to the bitset for `row`.
///
/// Returns `true` if this changed the matrix.
pub fn insert(&mut self, row: R, column: C) -> bool {
assert!(row.index() < self.num_rows && column.index() < self.num_columns);
let (start, _) = self.range(row);
let (word_index, mask) = word_index_and_mask(column);
let words = &mut self.words[..];
let word = words[start + word_index];
let new_word = word | mask;
words[start + word_index] = new_word;
word != new_word
}
/// Do the bits from `row` contain `column`? Put another way, is
/// the matrix cell at `(row, column)` true? Put yet another way,
/// if the matrix represents (transitive) reachability, can
/// `row` reach `column`?
pub fn contains(&self, row: R, column: C) -> bool {
assert!(row.index() < self.num_rows && column.index() < self.num_columns);
let (start, _) = self.range(row);
let (word_index, mask) = word_index_and_mask(column);
(self.words[start + word_index] & mask) != 0
}
/// Returns those indices that are true in rows `a` and `b`. This
/// is an *O*(*n*) operation where *n* is the number of elements
/// (somewhat independent from the actual size of the
/// intersection, in particular).
pub fn intersect_rows(&self, row1: R, row2: R) -> Vec<C> {
assert!(row1.index() < self.num_rows && row2.index() < self.num_rows);
let (row1_start, row1_end) = self.range(row1);
let (row2_start, row2_end) = self.range(row2);
let mut result = Vec::with_capacity(self.num_columns);
for (base, (i, j)) in (row1_start..row1_end).zip(row2_start..row2_end).enumerate() {
let mut v = self.words[i] & self.words[j];
for bit in 0..WORD_BITS {
if v == 0 {
break;
}
if v & 0x1 != 0 {
result.push(C::new(base * WORD_BITS + bit));
}
v >>= 1;
}
}
result
}
/// Adds the bits from row `read` to the bits from row `write`, and
/// returns `true` if anything changed.
///
/// This is used when computing transitive reachability because if
/// you have an edge `write -> read`, because in that case
/// `write` can reach everything that `read` can (and
/// potentially more).
pub fn union_rows(&mut self, read: R, write: R) -> bool {
assert!(read.index() < self.num_rows && write.index() < self.num_rows);
let (read_start, read_end) = self.range(read);
let (write_start, write_end) = self.range(write);
let words = &mut self.words[..];
let mut changed = 0;
for (read_index, write_index) in iter::zip(read_start..read_end, write_start..write_end) {
let word = words[write_index];
let new_word = word | words[read_index];
words[write_index] = new_word;
// See `bitwise` for the rationale.
changed |= word ^ new_word;
}
changed != 0
}
/// Adds the bits from `with` to the bits from row `write`, and
/// returns `true` if anything changed.
pub fn union_row_with(&mut self, with: &BitSet<C>, write: R) -> bool {
assert!(write.index() < self.num_rows);
assert_eq!(with.domain_size(), self.num_columns);
let (write_start, write_end) = self.range(write);
bitwise(&mut self.words[write_start..write_end], &with.words, |a, b| a | b)
}
/// Sets every cell in `row` to true.
pub fn insert_all_into_row(&mut self, row: R) {
assert!(row.index() < self.num_rows);
let (start, end) = self.range(row);
let words = &mut self.words[..];
for index in start..end {
words[index] = !0;
}
clear_excess_bits_in_final_word(self.num_columns, &mut self.words[..end]);
}
/// Gets a slice of the underlying words.
pub fn words(&self) -> &[Word] {
&self.words
}
/// Iterates through all the columns set to true in a given row of
/// the matrix.
pub fn iter(&self, row: R) -> BitIter<'_, C> {
assert!(row.index() < self.num_rows);
let (start, end) = self.range(row);
BitIter::new(&self.words[start..end])
}
/// Returns the number of elements in `row`.
pub fn count(&self, row: R) -> usize {
let (start, end) = self.range(row);
self.words[start..end].iter().map(|e| e.count_ones() as usize).sum()
}
}
impl<R: Idx, C: Idx> fmt::Debug for BitMatrix<R, C> {
fn fmt(&self, fmt: &mut fmt::Formatter<'_>) -> fmt::Result {
/// Forces its contents to print in regular mode instead of alternate mode.
struct OneLinePrinter<T>(T);
impl<T: fmt::Debug> fmt::Debug for OneLinePrinter<T> {
fn fmt(&self, fmt: &mut fmt::Formatter<'_>) -> fmt::Result {
write!(fmt, "{:?}", self.0)
}
}
write!(fmt, "BitMatrix({}x{}) ", self.num_rows, self.num_columns)?;
let items = self.rows().flat_map(|r| self.iter(r).map(move |c| (r, c)));
fmt.debug_set().entries(items.map(OneLinePrinter)).finish()
}
}
/// A fixed-column-size, variable-row-size 2D bit matrix with a moderately
/// sparse representation.
///
/// Initially, every row has no explicit representation. If any bit within a
/// row is set, the entire row is instantiated as `Some(<HybridBitSet>)`.
/// Furthermore, any previously uninstantiated rows prior to it will be
/// instantiated as `None`. Those prior rows may themselves become fully
/// instantiated later on if any of their bits are set.
///
/// `R` and `C` are index types used to identify rows and columns respectively;
/// typically newtyped `usize` wrappers, but they can also just be `usize`.
#[derive(Clone, Debug)]
pub struct SparseBitMatrix<R, C>
where
R: Idx,
C: Idx,
{
num_columns: usize,
rows: IndexVec<R, Option<HybridBitSet<C>>>,
}
impl<R: Idx, C: Idx> SparseBitMatrix<R, C> {
/// Creates a new empty sparse bit matrix with no rows or columns.
pub fn new(num_columns: usize) -> Self {
Self { num_columns, rows: IndexVec::new() }
}
fn ensure_row(&mut self, row: R) -> &mut HybridBitSet<C> {
// Instantiate any missing rows up to and including row `row` with an empty HybridBitSet.
// Then replace row `row` with a full HybridBitSet if necessary.
self.rows.get_or_insert_with(row, || HybridBitSet::new_empty(self.num_columns))
}
/// Sets the cell at `(row, column)` to true. Put another way, insert
/// `column` to the bitset for `row`.
///
/// Returns `true` if this changed the matrix.
pub fn insert(&mut self, row: R, column: C) -> bool {
self.ensure_row(row).insert(column)
}
/// Sets the cell at `(row, column)` to false. Put another way, delete
/// `column` from the bitset for `row`. Has no effect if `row` does not
/// exist.
///
/// Returns `true` if this changed the matrix.
pub fn remove(&mut self, row: R, column: C) -> bool {
match self.rows.get_mut(row) {
Some(Some(row)) => row.remove(column),
_ => false,
}
}
/// Sets all columns at `row` to false. Has no effect if `row` does
/// not exist.
pub fn clear(&mut self, row: R) {
if let Some(Some(row)) = self.rows.get_mut(row) {
row.clear();
}
}
/// Do the bits from `row` contain `column`? Put another way, is
/// the matrix cell at `(row, column)` true? Put yet another way,
/// if the matrix represents (transitive) reachability, can
/// `row` reach `column`?
pub fn contains(&self, row: R, column: C) -> bool {
self.row(row).is_some_and(|r| r.contains(column))
}
/// Adds the bits from row `read` to the bits from row `write`, and
/// returns `true` if anything changed.
///
/// This is used when computing transitive reachability because if
/// you have an edge `write -> read`, because in that case
/// `write` can reach everything that `read` can (and
/// potentially more).
pub fn union_rows(&mut self, read: R, write: R) -> bool {
if read == write || self.row(read).is_none() {
return false;
}
self.ensure_row(write);
if let (Some(read_row), Some(write_row)) = self.rows.pick2_mut(read, write) {
write_row.union(read_row)
} else {
unreachable!()
}
}
/// Insert all bits in the given row.
pub fn insert_all_into_row(&mut self, row: R) {
self.ensure_row(row).insert_all();
}
pub fn rows(&self) -> impl Iterator<Item = R> {
self.rows.indices()
}
/// Iterates through all the columns set to true in a given row of
/// the matrix.
pub fn iter(&self, row: R) -> impl Iterator<Item = C> + '_ {
self.row(row).into_iter().flat_map(|r| r.iter())
}
pub fn row(&self, row: R) -> Option<&HybridBitSet<C>> {
self.rows.get(row)?.as_ref()
}
/// Intersects `row` with `set`. `set` can be either `BitSet` or
/// `HybridBitSet`. Has no effect if `row` does not exist.
///
/// Returns true if the row was changed.
pub fn intersect_row<Set>(&mut self, row: R, set: &Set) -> bool
where
HybridBitSet<C>: BitRelations<Set>,
{
match self.rows.get_mut(row) {
Some(Some(row)) => row.intersect(set),
_ => false,
}
}
/// Subtracts `set` from `row`. `set` can be either `BitSet` or
/// `HybridBitSet`. Has no effect if `row` does not exist.
///
/// Returns true if the row was changed.
pub fn subtract_row<Set>(&mut self, row: R, set: &Set) -> bool
where
HybridBitSet<C>: BitRelations<Set>,
{
match self.rows.get_mut(row) {
Some(Some(row)) => row.subtract(set),
_ => false,
}
}
/// Unions `row` with `set`. `set` can be either `BitSet` or
/// `HybridBitSet`.
///
/// Returns true if the row was changed.
pub fn union_row<Set>(&mut self, row: R, set: &Set) -> bool
where
HybridBitSet<C>: BitRelations<Set>,
{
self.ensure_row(row).union(set)
}
}
#[inline]
fn num_words<T: Idx>(domain_size: T) -> usize {
(domain_size.index() + WORD_BITS - 1) / WORD_BITS
}
#[inline]
fn num_chunks<T: Idx>(domain_size: T) -> usize {
assert!(domain_size.index() > 0);
(domain_size.index() + CHUNK_BITS - 1) / CHUNK_BITS
}
#[inline]
fn word_index_and_mask<T: Idx>(elem: T) -> (usize, Word) {
let elem = elem.index();
let word_index = elem / WORD_BITS;
let mask = 1 << (elem % WORD_BITS);
(word_index, mask)
}
#[inline]
fn chunk_index<T: Idx>(elem: T) -> usize {
elem.index() / CHUNK_BITS
}
#[inline]
fn chunk_word_index_and_mask<T: Idx>(elem: T) -> (usize, Word) {
let chunk_elem = elem.index() % CHUNK_BITS;
word_index_and_mask(chunk_elem)
}
fn clear_excess_bits_in_final_word(domain_size: usize, words: &mut [Word]) {
let num_bits_in_final_word = domain_size % WORD_BITS;
if num_bits_in_final_word > 0 {
let mask = (1 << num_bits_in_final_word) - 1;
words[words.len() - 1] &= mask;
}
}
#[inline]
fn max_bit(word: Word) -> usize {
WORD_BITS - 1 - word.leading_zeros() as usize
}
/// Integral type used to represent the bit set.
pub trait FiniteBitSetTy:
BitAnd<Output = Self>
+ BitAndAssign
+ BitOrAssign
+ Clone
+ Copy
+ Shl
+ Not<Output = Self>
+ PartialEq
+ Sized
{
/// Size of the domain representable by this type, e.g. 64 for `u64`.
const DOMAIN_SIZE: u32;
/// Value which represents the `FiniteBitSet` having every bit set.
const FILLED: Self;
/// Value which represents the `FiniteBitSet` having no bits set.
const EMPTY: Self;
/// Value for one as the integral type.
const ONE: Self;
/// Value for zero as the integral type.
const ZERO: Self;
/// Perform a checked left shift on the integral type.
fn checked_shl(self, rhs: u32) -> Option<Self>;
/// Perform a checked right shift on the integral type.
fn checked_shr(self, rhs: u32) -> Option<Self>;
}
impl FiniteBitSetTy for u32 {
const DOMAIN_SIZE: u32 = 32;
const FILLED: Self = Self::MAX;
const EMPTY: Self = Self::MIN;
const ONE: Self = 1u32;
const ZERO: Self = 0u32;
fn checked_shl(self, rhs: u32) -> Option<Self> {
self.checked_shl(rhs)
}
fn checked_shr(self, rhs: u32) -> Option<Self> {
self.checked_shr(rhs)
}
}
impl std::fmt::Debug for FiniteBitSet<u32> {
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
write!(f, "{:032b}", self.0)
}
}
/// A fixed-sized bitset type represented by an integer type. Indices outwith than the range
/// representable by `T` are considered set.
#[cfg_attr(feature = "nightly", derive(Decodable_Generic, Encodable_Generic))]
#[derive(Copy, Clone, Eq, PartialEq)]
pub struct FiniteBitSet<T: FiniteBitSetTy>(pub T);
impl<T: FiniteBitSetTy> FiniteBitSet<T> {
/// Creates a new, empty bitset.
pub fn new_empty() -> Self {
Self(T::EMPTY)
}
/// Sets the `index`th bit.
pub fn set(&mut self, index: u32) {
self.0 |= T::ONE.checked_shl(index).unwrap_or(T::ZERO);
}
/// Unsets the `index`th bit.
pub fn clear(&mut self, index: u32) {
self.0 &= !T::ONE.checked_shl(index).unwrap_or(T::ZERO);
}
/// Sets the `i`th to `j`th bits.
pub fn set_range(&mut self, range: Range<u32>) {
let bits = T::FILLED
.checked_shl(range.end - range.start)
.unwrap_or(T::ZERO)
.not()
.checked_shl(range.start)
.unwrap_or(T::ZERO);
self.0 |= bits;
}
/// Is the set empty?
pub fn is_empty(&self) -> bool {
self.0 == T::EMPTY
}
/// Returns the domain size of the bitset.
pub fn within_domain(&self, index: u32) -> bool {
index < T::DOMAIN_SIZE
}
/// Returns if the `index`th bit is set.
pub fn contains(&self, index: u32) -> Option<bool> {
self.within_domain(index)
.then(|| ((self.0.checked_shr(index).unwrap_or(T::ONE)) & T::ONE) == T::ONE)
}
}
impl<T: FiniteBitSetTy> Default for FiniteBitSet<T> {
fn default() -> Self {
Self::new_empty()
}
}