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//! A fast succinct bit vector implementation with rank and select queries. Rank computes in
//! constant-time, select on average in constant-time, with a logarithmic worst case.
use std::mem::size_of;
#[cfg(all(
feature = "simd",
target_arch = "x86_64",
target_feature = "avx",
target_feature = "avx2",
target_feature = "avx512f",
target_feature = "avx512bw",
))]
pub use bitset::*;
pub use iter::*;
use crate::util::impl_vector_iterator;
use crate::BitVec;
use super::WORD_SIZE;
/// Size of a block in the bitvector.
const BLOCK_SIZE: usize = 512;
/// Size of a super block in the bitvector. Super-blocks exist to decrease the memory overhead
/// of block descriptors.
/// Increasing or decreasing the super block size has negligible effect on performance of rank
/// instruction. This means we want to make the super block size as large as possible, as long as
/// the zero-counter in normal blocks still fits in a reasonable amount of bits. However, this has
/// impact on the performance of select queries. The larger the super block size, the deeper will
/// a binary search be. We found 2^13 to be a good compromise between memory overhead and
/// performance.
const SUPER_BLOCK_SIZE: usize = 1 << 13;
/// Size of a select block. The select block is used to speed up select queries. The select block
/// contains the indices of every `SELECT_BLOCK_SIZE`'th 1-bit and 0-bit in the bitvector.
/// The smaller this block-size, the faster are select queries, but the more memory is used.
const SELECT_BLOCK_SIZE: usize = 1 << 13;
/// Meta-data for a block. The `zeros` field stores the number of zeros up to the block,
/// beginning from the last super-block boundary. This means the first block in a super-block
/// always stores the number zero, which serves as a sentinel value to avoid special-casing the
/// first block in a super-block (which would be a performance hit due branch prediction failures).
#[derive(Clone, Copy, Debug)]
#[cfg_attr(feature = "serde", derive(serde::Serialize, serde::Deserialize))]
struct BlockDescriptor {
zeros: u16,
}
/// Meta-data for a super-block. The `zeros` field stores the number of zeros up to this super-block.
/// This allows the `BlockDescriptor` to store the number of zeros in a much smaller
/// space. The `zeros` field is the number of zeros up to the super-block.
#[derive(Clone, Copy, Debug)]
#[cfg_attr(feature = "serde", derive(serde::Serialize, serde::Deserialize))]
struct SuperBlockDescriptor {
zeros: usize,
}
/// Meta-data for the select query. Each entry i in the select vector contains the indices to find
/// the i * `SELECT_BLOCK_SIZE`'th 0- and 1-bit in the bitvector. Those indices may be very far apart.
/// The indices do not point into the bit-vector, but into the select-block vector.
#[derive(Clone, Debug)]
#[cfg_attr(feature = "serde", derive(serde::Serialize, serde::Deserialize))]
struct SelectSuperBlockDescriptor {
index_0: usize,
index_1: usize,
}
/// A bitvector that supports constant-time rank and select queries and is optimized for fast queries.
/// The bitvector is stored as a vector of `u64`s. The bit-vector stores meta-data for constant-time
/// rank and select queries, which takes sub-linear additional space. The space overhead is
/// 28 bits per 512 bits of user data (~5.47%).
///
/// # Example
/// ```rust
/// use vers_vecs::{BitVec, RsVec};
///
/// let mut bit_vec = BitVec::new();
/// bit_vec.append_word(u64::MAX);
///
/// let rs_vec = RsVec::from_bit_vec(bit_vec);
/// assert_eq!(rs_vec.rank1(64), 64);
/// assert_eq!(rs_vec.select1(64), 64);
///```
#[derive(Clone, Debug)]
#[cfg_attr(feature = "serde", derive(serde::Serialize, serde::Deserialize))]
pub struct RsVec {
data: Vec<u64>,
len: usize,
blocks: Vec<BlockDescriptor>,
super_blocks: Vec<SuperBlockDescriptor>,
select_blocks: Vec<SelectSuperBlockDescriptor>,
pub(crate) rank0: usize,
pub(crate) rank1: usize,
}
impl RsVec {
/// Build an [`RsVec`] from a [`BitVec`]. This will consume the [`BitVec`]. Since [`RsVec`]s are
/// immutable, this is the only way to construct an [`RsVec`].
///
/// # Example
/// See the example for [`RsVec`].
///
/// [`BitVec`]: ../struct.BitVec.html
/// [`RsVec`]: struct.RsVec.html
#[must_use]
pub fn from_bit_vec(mut vec: BitVec) -> RsVec {
// Construct the block descriptor meta data. Each block descriptor contains the number of
// zeros in the super-block, up to but excluding the block.
let mut blocks = Vec::with_capacity(vec.len() / BLOCK_SIZE + 1);
let mut super_blocks = Vec::with_capacity(vec.len() / SUPER_BLOCK_SIZE + 1);
let mut select_blocks = Vec::new();
// sentinel value
select_blocks.push(SelectSuperBlockDescriptor {
index_0: 0,
index_1: 0,
});
let mut total_zeros: usize = 0;
let mut current_zeros: usize = 0;
let mut last_zero_select_block: usize = 0;
let mut last_one_select_block: usize = 0;
for (idx, &word) in vec.data.iter().enumerate() {
// if we moved past a block boundary, append the block information for the previous
// block and reset the counter if we moved past a super-block boundary.
if idx % (BLOCK_SIZE / WORD_SIZE) == 0 {
if idx % (SUPER_BLOCK_SIZE / WORD_SIZE) == 0 {
total_zeros += current_zeros;
current_zeros = 0;
super_blocks.push(SuperBlockDescriptor { zeros: total_zeros });
}
// this cannot overflow because a super block isn't 2^16 bits long
#[allow(clippy::cast_possible_truncation)]
blocks.push(BlockDescriptor {
zeros: current_zeros as u16,
});
}
// count the zeros in the current word and add them to the counter
// the last word may contain padding zeros, which should not be counted,
// but since we do not append the last block descriptor, this is not a problem
let new_zeros = word.count_zeros() as usize;
let all_zeros = total_zeros + current_zeros + new_zeros;
if all_zeros / SELECT_BLOCK_SIZE > (total_zeros + current_zeros) / SELECT_BLOCK_SIZE {
if all_zeros / SELECT_BLOCK_SIZE == select_blocks.len() {
select_blocks.push(SelectSuperBlockDescriptor {
index_0: super_blocks.len() - 1,
index_1: 0,
});
} else {
select_blocks[all_zeros / SELECT_BLOCK_SIZE].index_0 = super_blocks.len() - 1;
}
last_zero_select_block += 1;
}
let total_bits = (idx + 1) * WORD_SIZE;
let all_ones = total_bits - all_zeros;
if all_ones / SELECT_BLOCK_SIZE
> (idx * WORD_SIZE - total_zeros - current_zeros) / SELECT_BLOCK_SIZE
{
if all_ones / SELECT_BLOCK_SIZE == select_blocks.len() {
select_blocks.push(SelectSuperBlockDescriptor {
index_0: 0,
index_1: super_blocks.len() - 1,
});
} else {
select_blocks[all_ones / SELECT_BLOCK_SIZE].index_1 = super_blocks.len() - 1;
}
last_one_select_block += 1;
}
current_zeros += new_zeros;
}
// insert dummy select blocks at the end that just report the same index like the last real
// block, so the bound check for binary search doesn't overflow
// this is technically the incorrect value, but since all valid queries will be smaller,
// this will only tell select to stay in the current super block, which is correct.
// we cannot use a real value here, because this would change the size of the super-block
if last_zero_select_block == select_blocks.len() - 1 {
select_blocks.push(SelectSuperBlockDescriptor {
index_0: select_blocks[last_zero_select_block].index_0,
index_1: 0,
});
} else {
debug_assert!(select_blocks[last_zero_select_block + 1].index_0 == 0);
select_blocks[last_zero_select_block + 1].index_0 =
select_blocks[last_zero_select_block].index_0;
}
if last_one_select_block == select_blocks.len() - 1 {
select_blocks.push(SelectSuperBlockDescriptor {
index_0: 0,
index_1: select_blocks[last_one_select_block].index_1,
});
} else {
debug_assert!(select_blocks[last_one_select_block + 1].index_1 == 0);
select_blocks[last_one_select_block + 1].index_1 =
select_blocks[last_one_select_block].index_1;
}
// pad the internal vector to be block-aligned, so SIMD operations don't try to read
// past the end of the vector. Note that this does not affect the content of the vector,
// because those bits are not considered part of the vector.
// Note further, that currently no SIMD implementation exists.
while vec.data.len() % (BLOCK_SIZE / WORD_SIZE) != 0 {
vec.data.push(0);
}
RsVec {
data: vec.data,
len: vec.len,
blocks,
super_blocks,
select_blocks,
// the last block may contain padding zeros, which should not be counted
rank0: total_zeros + current_zeros - ((WORD_SIZE - (vec.len % WORD_SIZE)) % WORD_SIZE),
rank1: vec.len
- (total_zeros + current_zeros - ((WORD_SIZE - (vec.len % WORD_SIZE)) % WORD_SIZE)),
}
}
/// Return the 0-rank of the bit at the given position. The 0-rank is the number of
/// 0-bits in the vector up to but excluding the bit at the given position. Calling this
/// function with an index larger than the length of the bit-vector will report the total
/// number of 0-bits in the bit-vector.
///
/// # Parameters
/// - `pos`: The position of the bit to return the rank of.
#[must_use]
pub fn rank0(&self, pos: usize) -> usize {
self.rank(true, pos)
}
/// Return the 1-rank of the bit at the given position. The 1-rank is the number of
/// 1-bits in the vector up to but excluding the bit at the given position. Calling this
/// function with an index larger than the length of the bit-vector will report the total
/// number of 1-bits in the bit-vector.
///
/// # Parameters
/// - `pos`: The position of the bit to return the rank of.
#[must_use]
pub fn rank1(&self, pos: usize) -> usize {
self.rank(false, pos)
}
// I measured 5-10% improvement with this. I don't know why it's not inlined by default, the
// branch elimination profits alone should make it worth it.
#[allow(clippy::inline_always)]
#[inline(always)]
fn rank(&self, zero: bool, pos: usize) -> usize {
#[allow(clippy::collapsible_else_if)]
// readability and more obvious where dead branch elimination happens
if zero {
if pos >= self.len() {
return self.rank0;
}
} else {
if pos >= self.len() {
return self.rank1;
}
}
let index = pos / WORD_SIZE;
let block_index = pos / BLOCK_SIZE;
let super_block_index = pos / SUPER_BLOCK_SIZE;
let mut rank = 0;
// at first add the number of zeros/ones before the current super block
rank += if zero {
self.super_blocks[super_block_index].zeros
} else {
(super_block_index * SUPER_BLOCK_SIZE) - self.super_blocks[super_block_index].zeros
};
// then add the number of zeros/ones before the current block
rank += if zero {
self.blocks[block_index].zeros as usize
} else {
((block_index % (SUPER_BLOCK_SIZE / BLOCK_SIZE)) * BLOCK_SIZE)
- self.blocks[block_index].zeros as usize
};
// naive popcount of blocks
for &i in &self.data[(block_index * BLOCK_SIZE) / WORD_SIZE..index] {
rank += if zero {
i.count_zeros() as usize
} else {
i.count_ones() as usize
};
}
rank += if zero {
(!self.data[index] & ((1 << (pos % WORD_SIZE)) - 1)).count_ones() as usize
} else {
(self.data[index] & ((1 << (pos % WORD_SIZE)) - 1)).count_ones() as usize
};
rank
}
/// Return the length of the vector, i.e. the number of bits it contains.
#[must_use]
pub fn len(&self) -> usize {
self.len
}
/// Return whether the vector is empty.
#[must_use]
pub fn is_empty(&self) -> bool {
self.len() == 0
}
/// Return the bit at the given position. The bit takes the least significant
/// bit of the returned u64 word.
/// If the position is larger than the length of the vector, `None` is returned.
#[must_use]
pub fn get(&self, pos: usize) -> Option<u64> {
if pos >= self.len() {
None
} else {
Some(self.get_unchecked(pos))
}
}
/// Return the bit at the given position. The bit takes the least significant
/// bit of the returned u64 word.
///
/// # Panics
/// This function may panic if `pos >= self.len()` (alternatively, it may return garbage).
#[must_use]
pub fn get_unchecked(&self, pos: usize) -> u64 {
(self.data[pos / WORD_SIZE] >> (pos % WORD_SIZE)) & 1
}
/// Return multiple bits at the given position. The number of bits to return is given by `len`.
/// At most 64 bits can be returned.
/// If the position at the end of the query is larger than the length of the vector,
/// None is returned (even if the query partially overlaps with the vector).
/// If the length of the query is larger than 64, None is returned.
#[must_use]
pub fn get_bits(&self, pos: usize, len: usize) -> Option<u64> {
if len > WORD_SIZE {
return None;
}
if pos + len > self.len {
None
} else {
Some(self.get_bits_unchecked(pos, len))
}
}
/// Return multiple bits at the given position. The number of bits to return is given by `len`.
/// At most 64 bits can be returned.
///
/// This function is always inlined, because it gains a lot from loop optimization and
/// can utilize the processor pre-fetcher better if it is.
///
/// # Errors
/// If the length of the query is larger than 64, unpredictable data will be returned.
/// Use [`get_bits`] to properly handle this case with an `Option`.
///
/// # Panics
/// If the position or interval is larger than the length of the vector,
/// the function will either return unpredictable data, or panic.
///
/// [`get_bits`]: #method.get_bits
#[must_use]
#[allow(clippy::comparison_chain)] // readability
#[allow(clippy::cast_possible_truncation)] // parameter must be out of scope for this to happen
pub fn get_bits_unchecked(&self, pos: usize, len: usize) -> u64 {
debug_assert!(len <= WORD_SIZE);
let partial_word = self.data[pos / WORD_SIZE] >> (pos % WORD_SIZE);
if pos % WORD_SIZE + len == WORD_SIZE {
partial_word
} else if pos % WORD_SIZE + len < WORD_SIZE {
partial_word & ((1 << (len % WORD_SIZE)) - 1)
} else {
(partial_word | (self.data[pos / WORD_SIZE + 1] << (WORD_SIZE - pos % WORD_SIZE)))
& 1u64.checked_shl(len as u32).unwrap_or(0).wrapping_sub(1)
}
}
/// Check if two `RsVec`s are equal. For sparse vectors (either sparsely filled with 1-bits or
/// 0-bits), this is faster than comparing the vectors bit by bit.
/// Choose the value of `ZERO` depending on which bits are more sparse.
///
/// This method is faster than [`full_equals`] for sparse vectors beginning at roughly 1
/// million bits. Above 4 million bits, this method becomes faster than full equality in general.
///
/// # Parameters
/// - `other`: The other `RsVec` to compare to.
/// - `ZERO`: Whether to compare the sparse 0-bits (true) or the sparse 1-bits (false).
///
/// # Returns
/// `true` if the vectors' contents are equal, `false` otherwise.
///
/// [`full_equals`]: RsVec::full_equals
#[must_use]
pub fn sparse_equals<const ZERO: bool>(&self, other: &Self) -> bool {
if self.len() != other.len() {
return false;
}
if self.rank0 != other.rank0 || self.rank1 != other.rank1 {
return false;
}
let iter: SelectIter<ZERO> = self.select_iter();
for (rank, bit_index) in iter.enumerate() {
// since rank is inlined, we get dead code elimination depending on ZERO
if (other.get_unchecked(bit_index) == 0) != ZERO || other.rank(ZERO, bit_index) != rank
{
return false;
}
}
true
}
/// Check if two `RsVec`s are equal. This compares limb by limb. This is usually faster than a
/// [`sparse_equals`] call for small vectors.
///
/// # Parameters
/// - `other`: The other `RsVec` to compare to.
///
/// # Returns
/// `true` if the vectors' contents are equal, `false` otherwise.
///
/// [`sparse_equals`]: RsVec::sparse_equals
#[must_use]
pub fn full_equals(&self, other: &Self) -> bool {
if self.len() != other.len() {
return false;
}
if self.rank0 != other.rank0 || self.rank1 != other.rank1 {
return false;
}
if self.data[..self.len / 64]
.iter()
.zip(other.data[..other.len / 64].iter())
.any(|(a, b)| a != b)
{
return false;
}
// if last incomplete block exists, test it without junk data
if self.len % 64 > 0
&& self.data[self.len / 64] & ((1 << (self.len % 64)) - 1)
!= other.data[self.len / 64] & ((1 << (other.len % 64)) - 1)
{
return false;
}
true
}
/// Returns the number of bytes used on the heap for this vector. This does not include
/// allocated space that is not used (e.g. by the allocation behavior of `Vec`).
#[must_use]
pub fn heap_size(&self) -> usize {
self.data.len() * size_of::<u64>()
+ self.blocks.len() * size_of::<BlockDescriptor>()
+ self.super_blocks.len() * size_of::<SuperBlockDescriptor>()
+ self.select_blocks.len() * size_of::<SelectSuperBlockDescriptor>()
}
}
impl_vector_iterator! { RsVec, RsVecIter, RsVecRefIter }
impl PartialEq for RsVec {
/// Check if two `RsVec`s are equal. This method calls [`sparse_equals`] if the vector has more
/// than 4'000'000 bits, and [`full_equals`] otherwise.
///
/// This was determined with benchmarks on an `x86_64` machine,
/// on which [`sparse_equals`] outperforms [`full_equals`] consistently above this threshold.
///
/// # Parameters
/// - `other`: The other `RsVec` to compare to.
///
/// # Returns
/// `true` if the vectors' contents are equal, `false` otherwise.
///
/// [`sparse_equals`]: RsVec::sparse_equals
/// [`full_equals`]: RsVec::full_equals
fn eq(&self, other: &Self) -> bool {
if self.len > 4_000_000 {
if self.rank1 > self.rank0 {
self.sparse_equals::<true>(other)
} else {
self.sparse_equals::<false>(other)
}
} else {
self.full_equals(other)
}
}
}
impl From<BitVec> for RsVec {
/// Build an [`RsVec`] from a [`BitVec`]. This will consume the [`BitVec`]. Since [`RsVec`]s are
/// immutable, this is the only way to construct an [`RsVec`].
///
/// # Example
/// See the example for [`RsVec`].
///
/// [`BitVec`]: BitVec
/// [`RsVec`]: RsVec
fn from(vec: BitVec) -> Self {
RsVec::from_bit_vec(vec)
}
}
// iter code in here to keep it more organized
mod iter;
// select code in here to keep it more organized
mod select;
#[cfg(all(
feature = "simd",
target_arch = "x86_64",
target_feature = "avx",
target_feature = "avx2",
target_feature = "avx512f",
target_feature = "avx512bw",
))]
mod bitset;
#[cfg(test)]
mod tests;