15155344114

Committed 21 May 2025 06:42AM UTC coverage: 68.995% (-6.5%) from 75.47%

Build # 15155344114

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Merge efbcfa250 into 30c4990e8

Pull Request Pull Request #62: Fix typo in documentation

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/src/func/vbuilder.rs

/*
 * SPDX-FileCopyrightText: 2025 Sebastiano Vigna
 *
 * SPDX-License-Identifier: Apache-2.0 OR LGPL-2.1-or-later
 */

#![allow(clippy::type_complexity)]
#![allow(clippy::too_many_arguments)]

use crate::bits::*;
use crate::dict::VFilter;
use crate::func::{shard_edge::ShardEdge, *};
use crate::traits::bit_field_slice::{BitFieldSlice, BitFieldSliceMut, Word};
use crate::utils::*;
use common_traits::{
    CastableInto, DowncastableFrom, DowncastableInto, UnsignedInt, UpcastableFrom, UpcastableInto,
};
use derivative::Derivative;
use derive_setters::*;
use dsi_progress_logger::*;
use epserde::prelude::*;
use log::info;
use rand::rngs::SmallRng;
use rand::SeedableRng;
use rand::{Rng, RngCore};
use rayon::iter::ParallelIterator;
use rayon::slice::ParallelSlice;
use rdst::*;
use std::any::TypeId;
use std::borrow::Cow;
use std::hint::unreachable_unchecked;
use std::marker::PhantomData;
use std::mem::transmute;
use std::ops::{BitXor, BitXorAssign};
use std::slice::Iter;
use std::sync::atomic::{AtomicBool, Ordering};
use std::sync::Arc;
use std::time::Instant;
use thread_priority::ThreadPriority;

use super::shard_edge::FuseLge3Shards;

const LOG2_MAX_SHARDS: u32 = 16;

/// A builder for [`VFunc`] and [`VFilter`].
///
/// Keys must implement the [`ToSig`] trait, which provides a method to compute
/// a signature of the key.
///
/// There are two construction modes: in core memory (default) and
/// [offline](VBuilder::offline); both use a [`SigStore`]. In the first case,
/// space will be allocated in core memory for signatures and associated values
/// for all keys; in the second case, such information will be stored in a
/// number of on-disk buckets.
///
/// There are several setters: for example, you can set [set the maximum number
/// of threads](VBuilder::max_num_threads).
///
/// Once signatures have been computed, each parallel thread will process a
/// shard of the signature/value pairs. For very large key sets shards will be
/// significantly smaller than the number of keys, so the memory usage, in
/// particular in offline mode, can be significantly reduced. Note that using
/// too many threads might actually be harmful due to memory contention.
///
/// The generic parameters are explained in the [`VFunc`] documentation. You
/// have to choose the type of the output values and the backend. The remaining
/// parameters have default values that are the same as those of
/// [`VFunc`]/[`VFilter`], and some elaboration about them can be found in their
/// documentation.
///
/// All construction methods require to pass one or two [`RewindableIoLender`]s
/// (keys and possibly values), and the construction might fail and keys might
/// be scanned again. The structures in the [`lenders`] module provide easy ways
/// to build such lenders, even starting from compressed files of UTF-8 strings.
/// The type of the keys of the resulting filter or function will be the type of
/// the elements of the [`RewindableIoLender`].
///
/// # Examples
///
/// In this example, we build a function that maps each key to itself using a
/// boxed slice of `usize` as a backend (note that this is really wasteful). The
/// setter for the expected number of keys is used to optimize the construction.
/// We use the [`FromIntoIterator`] adapter to turn a clonable [`IntoIterator`]
/// into a [`RewindableIoLender`]. Note that you need the
/// [`dsi-progress-logger`](https://crates.io/crates/dsi-progress-logger) crate.
///
/// Type inference derives the input type (`usize`) from the type of the items
/// returned by the first [`RewindableIoLender`], and the output type (again,
/// `usize`, the first type parameter), from the backend type (`Box<[usize]>`,
/// the second type parameter):
///
/// ```rust
/// # fn main() -> Result<(), Box<dyn std::error::Error>> {
/// use sux::func::VBuilder;
/// use dsi_progress_logger::no_logging;
/// use sux::utils::FromIntoIterator;
///
/// let builder = VBuilder::<_, Box<[usize]>>::default()
///     .expected_num_keys(100);
/// let func = builder.try_build_func(
///    FromIntoIterator::from(0..100),
///    FromIntoIterator::from(0..100),
///    no_logging![]
/// )?;
///
/// for i in 0..100 {
///    assert_eq!(i, func.get(&i));
/// }
/// #     Ok(())
/// # }
/// ```
///
/// Alternatively we can use the bit-field vector backend, that will use
/// ⌈log₂(99)⌉ bits per backend element:
///
/// ```rust
/// # fn main() -> Result<(), Box<dyn std::error::Error>> {
/// use sux::func::VBuilder;
/// use dsi_progress_logger::no_logging;
/// use sux::utils::FromIntoIterator;
/// use sux::bits::BitFieldVec;
///
/// let builder = VBuilder::<_, BitFieldVec<usize>>::default()
///     .expected_num_keys(100);
/// let func = builder.try_build_func(
///    FromIntoIterator::from(0..100),
///    FromIntoIterator::from(0..100),
///    no_logging![]
/// )?;
///
/// for i in 0..100 {
///    assert_eq!(i, func.get(&i));
/// }
/// #     Ok(())
/// # }
/// ```
///
/// Since the numbers are small, we can also try to use a fixed-size output:
/// type inference takes care of making the second range `0..100` a range of
/// `u8`. Note that the type of keys is always `usize`, as it is still inferred
/// from the type of the items returned by the first [`RewindableIoLender`]:
///
/// ```rust
/// # fn main() -> Result<(), Box<dyn std::error::Error>> {
/// use sux::func::VBuilder;
/// use dsi_progress_logger::no_logging;
/// use sux::utils::FromIntoIterator;
/// use sux::bits::BitFieldVec;
///
/// let builder = VBuilder::<_, Box<[u8]>>::default()
///     .expected_num_keys(100);
/// let func = builder.try_build_func(
///    FromIntoIterator::from(0..100),
///    FromIntoIterator::from(0..100),
///    no_logging![]
/// )?;
///
/// for i in 0..100 {
///    assert_eq!(i, func.get(&i));
/// }
/// #     Ok(())
/// # }
/// ```
///
///
/// We now try to build a fast 8-bit filter for the same key set, using a boxed
/// slice of `u8` as a backend (this is not wasteful, as the filter uses 8-bit
/// hashes):
///
/// ```rust
/// # fn main() -> Result<(), Box<dyn std::error::Error>> {
/// use sux::func::VBuilder;
/// use dsi_progress_logger::no_logging;
/// use sux::utils::FromIntoIterator;
///
/// let builder = VBuilder::<_, Box<[u8]>>::default()
///     .expected_num_keys(100);
/// let func = builder.try_build_filter(
///    FromIntoIterator::from(0..100),
///    no_logging![]
/// )?;
///
/// for i in 0..100 {
///    assert!(func[i]);
/// }
/// #     Ok(())
/// # }
/// ```
///
/// Since the keys are very few, we can switch to 64-bit signatures, and no
/// shards, which will yield faster queries:
///
/// ```rust
/// # fn main() -> Result<(), Box<dyn std::error::Error>> {
/// use sux::func::VBuilder;
/// use sux::func::shard_edge::FuseLge3NoShards;
/// use dsi_progress_logger::no_logging;
/// use sux::utils::FromIntoIterator;
///
/// let builder = VBuilder::<_, Box<[u8]>, [u64; 1], FuseLge3NoShards>::default()
///     .expected_num_keys(100);
/// let func = builder.try_build_filter(
///    FromIntoIterator::from(0..100),
///    no_logging![]
/// )?;
///
/// for i in 0..100 {
///    assert!(func[i]);
/// }
/// #     Ok(())
/// # }
/// ```

#[derive(Setters, Debug, Derivative)]
#[derivative(Default)]
#[setters(generate = false)]
pub struct VBuilder<
    W: ZeroCopy + Word,
    D: BitFieldSlice<W> + Send + Sync = Box<[W]>,
    S = [u64; 2],
    E: ShardEdge<S, 3> = FuseLge3Shards,
> {
    /// The expected number of keys.
    ///
    /// While this setter is optional, setting this value to a reasonable bound
    /// on the actual number of keys will significantly speed up the
    /// construction.
    #[setters(generate = true, strip_option)]
    #[derivative(Default(value = "None"))]
    expected_num_keys: Option<usize>,

    /// The maximum number of parallel threads to use. The default is 8.
    #[setters(generate = true)]
    #[derivative(Default(value = "8"))]
    max_num_threads: usize,

    /// Use disk-based buckets to reduce core memory usage at construction time.
    #[setters(generate = true)]
    offline: bool,

    /// Check for duplicated signatures. This is not necessary in general,
    /// but if you suspect you might be feeding duplicate keys, you can
    /// enable this check.
    #[setters(generate = true)]
    check_dups: bool,

    /// Use always the low-memory peel-by-signature algorithm (true) or the
    /// high-memory peel-by-index algorithm (false). The former is slightly
    /// slower, but it uses much less memory. Normally [`VBuilder`] uses
    /// high-mem and switches to low-mem if there are more
    /// than two threads and more than four shards.
    #[setters(generate = true, strip_option)]
    #[derivative(Default(value = "None"))]
    low_mem: Option<bool>,

    /// The seed for the random number generator.
    #[setters(generate = true)]
    seed: u64,

    /// The base-2 logarithm of buckets of the [`SigStore`]. The default is 8.
    /// This value is automatically overridden, even if set, if you provide an
    /// [expected number of keys](VBuilder::expected_num_keys).
    #[setters(generate = true, strip_option)]
    #[derivative(Default(value = "8"))]
    log2_buckets: u32,

    /// The target relative space loss due to [ε-cost
    /// sharding](https://doi.org/10.4230/LIPIcs.ESA.2019.38).s
    ///
    /// The default is 0.001. Setting a larger target, for example, 0.01, will
    /// increase the space overhead due to sharding, but will provide in general
    /// finer shards. This might not always happen, however, because the ε-cost
    /// bound is just one of the bounds concurring in limiting the amount of
    /// sharding for a specific [`ShardEdge`]. For example, increasing the
    /// target to 0.01 will provide very fine sharding using `Mwhc3Shards`
    /// shard/edge logic, activated by the `mwhc` feature, but will affect only
    /// slightly [`FuseLge3Shards`] or
    /// [`FuseLge3FullSigs`](crate::func::shard_edge::FuseLge3FullSigs).
    #[setters(generate = true, strip_option)]
    #[derivative(Default(value = "0.001"))]
    eps: f64,

    /// The bit width of the maximum value.
    bit_width: usize,
    /// The edge generator.
    shard_edge: E,
    /// The number of keys.
    num_keys: usize,
    /// The ratio between the number of vertices and the number of edges
    /// (i.e., between the number of variables and the number of equations).
    c: f64,
    /// Whether we should use [lazy Gaussian
    /// elimination](https://doi.org/10.1016/j.ic.2020.104517).
    lge: bool,
    /// The number of threads to use.
    num_threads: usize,
    /// Fast-stop for failed attempts.
    failed: AtomicBool,
    #[doc(hidden)]
    _marker_v: PhantomData<(W, D, S)>,
}

/// Fatal build errors.
#[derive(thiserror::Error, Debug)]
pub enum BuildError {
    #[error("Duplicate key")]
    /// A duplicate key was detected.
    DuplicateKey,
    #[error("Duplicate local signatures: use full signatures")]
    /// A duplicate key was detected.
    DuplicateLocalSignatures,
    #[error("Value too large for specified bit size")]
    /// A value is too large for the specified bit size.
    ValueTooLarge,
}

#[derive(thiserror::Error, Debug)]
/// Transient error during the build, leading to
/// trying with a different seed.
pub enum SolveError {
    #[error("Duplicate signature")]
    /// A duplicate signature was detected.
    DuplicateSignature,
    #[error("Duplicate local signature")]
    /// A duplicate local signature was detected.
    DuplicateLocalSignature,
    #[error("Max shard too big")]
    /// The maximum shard is too big relatively to the average shard.
    MaxShardTooBig,
    #[error("Unsolvable shard")]
    /// A shard cannot be solved.
    UnsolvableShard,
}

/// The result of a peeling procedure.
enum PeelResult<
    'a,
    W: ZeroCopy + Word + Send + Sync,
    D: BitFieldSlice<W> + BitFieldSliceMut<W> + Send + Sync + 'a,
    S: Sig + ZeroCopy + Send + Sync,
    E: ShardEdge<S, 3>,
    V: ZeroCopy,
> {
    Complete(),
    Partial {
        /// The shard index.
        shard_index: usize,
        /// The shard.
        shard: Arc<Vec<SigVal<S, V>>>,
        /// The data.
        data: ShardData<'a, W, D>,
        /// The double stack whose upper stack contains the peeled edges
        /// (possibly represented by the vertex from which they have been
        /// peeled).
        double_stack: DoubleStack<E::Vertex>,
        /// The sides stack.
        sides_stack: Vec<u8>,
    },
}

/// A graph represented compactly.
///
/// Each (*k*-hyper)edge is a set of *k* vertices (by construction fuse graphs
/// do not have degenerate edges), but we represent it internally as a vector.
/// We call *side* the position of a vertex in the edge.
///
/// For each vertex we store information about the edges incident to the vertex
/// and the sides of the vertex in such edges. While technically not necessary
/// to perform peeling, the knowledge of the sides speeds up the peeling visit
/// by reducing the number of tests that are necessary to update the degrees
/// once the edge is peeled (see the `peel_by_*` methods). For the same reason
/// it also speeds up assignment.
///
/// Depending on the peeling method (by signature or by index), the graph will
/// store edge indices or signature/value pairs (the generic parameter `X`).
///
/// Edge information is packed together using Djamal's XOR trick (see
/// [“Cache-Oblivious Peeling of Random
/// Hypergraphs”](https://doi.org/10.1109/DCC.2014.48)): since during the
/// peeling b visit we need to know the content of the list only when a single
/// edge index is present, we can XOR together all the edge information.
///
/// We use a single byte to store the degree (six upper bits) and the XOR of the
/// sides (lower two bits). The degree can be stored with a small number of bits
/// because the graph is random, so the maximum degree is *O*(log log *n*).
/// In any case, the Boolean field `overflow` will become `true` in case of
/// overflow.
///
/// When we peel an edge, we just [zero the degree](Self::zero), leaving the
/// edge information and the side in place for further processing later.
struct XorGraph<X: Copy + Default + BitXor + BitXorAssign> {
    edges: Box<[X]>,
    degrees_sides: Box<[u8]>,
    overflow: bool,
}

impl<X: BitXor + BitXorAssign + Default + Copy> XorGraph<X> {
    pub fn new(n: usize) -> XorGraph<X> {
        XorGraph {
            edges: vec![X::default(); n].into(),
            degrees_sides: vec![0; n].into(),
            overflow: false,
        }
    }

    #[inline(always)]
    pub fn add(&mut self, v: usize, x: X, side: usize) {
        debug_assert!(side < 3);
        let (degree_size, overflow) = self.degrees_sides[v].overflowing_add(4);
        self.degrees_sides[v] = degree_size;
        self.overflow |= overflow;
        self.degrees_sides[v] ^= side as u8;
        self.edges[v] ^= x;
    }

    #[inline(always)]
    pub fn remove(&mut self, v: usize, x: X, side: usize) {
        debug_assert!(side < 3);
        self.degrees_sides[v] -= 4;
        self.degrees_sides[v] ^= side as u8;
        self.edges[v] ^= x;
    }

    #[inline(always)]
    pub fn zero(&mut self, v: usize) {
        self.degrees_sides[v] &= 0b11;
    }

    #[inline(always)]
    pub fn edge_and_side(&self, v: usize) -> (X, usize) {
        debug_assert!(self.degree(v) < 2);
        (self.edges[v] as _, (self.degrees_sides[v] & 0b11) as _)
    }

    #[inline(always)]
    pub fn degree(&self, v: usize) -> u8 {
        self.degrees_sides[v] >> 2
    }

    pub fn degrees(
        &self,
    ) -> std::iter::Map<std::iter::Copied<std::slice::Iter<'_, u8>>, fn(u8) -> u8> {
        self.degrees_sides.iter().copied().map(|d| d >> 2)
    }
}

/// A preallocated stack implementation that avoids the expensive (even if
/// rarely taken) branch of the `Vec` implementation in which memory is
/// reallocated. Note that using [`Vec::with_capacity`] is not enough, because
/// for the CPU the branch is still there.
struct FastStack<X: Copy + Default> {
    stack: Vec<X>,
    top: usize,
}

impl<X: Copy + Default> FastStack<X> {
    pub fn new(n: usize) -> FastStack<X> {
        FastStack {
            stack: vec![X::default(); n],
            top: 0,
        }
    }

    pub fn push(&mut self, x: X) {
        debug_assert!(self.top < self.stack.len());
        self.stack[self.top] = x;
        self.top += 1;
    }

    pub fn len(&self) -> usize {
        self.top
    }

    pub fn iter(&self) -> std::slice::Iter<'_, X> {
        self.stack[..self.top].iter()
    }
}

/// Two stacks in the same vector.
///
/// This struct implements a pair of stacks sharing the same memory. The lower
/// stack grows from the beginning of the vector, the upper stack grows from the
/// end of the vector. Since we use the lower stack for the visit and the upper
/// stack for peeled edges (possibly represented by the vertex from which they
/// have been peeled), the sum of the lengths of the two stacks cannot exceed
/// the length of the vector.
#[derive(Debug)]
struct DoubleStack<V> {
    stack: Vec<V>,
    lower: usize,
    upper: usize,
}

impl<V: Default + Copy> DoubleStack<V> {
    fn new(n: usize) -> DoubleStack<V> {
        DoubleStack {
            stack: vec![V::default(); n],
            lower: 0,
            upper: n,
        }
    }
}

impl<V: Copy> DoubleStack<V> {
    #[inline(always)]
    fn push_lower(&mut self, v: V) {
        debug_assert!(self.lower < self.upper);
        self.stack[self.lower] = v;
        self.lower += 1;
    }

    #[inline(always)]
    fn push_upper(&mut self, v: V) {
        debug_assert!(self.lower < self.upper);
        self.upper -= 1;
        self.stack[self.upper] = v;
    }

    #[inline(always)]
    fn pop_lower(&mut self) -> Option<V> {
        if self.lower == 0 {
            None
        } else {
            self.lower -= 1;
            Some(self.stack[self.lower])
        }
    }

    fn upper_len(&self) -> usize {
        self.stack.len() - self.upper
    }

    fn iter_upper(&self) -> Iter<'_, V> {
        self.stack[self.upper..].iter()
    }
}

/// An iterator over segments of data associated with each shard.
type ShardDataIter<'a, W, D> = <D as BitFieldSliceMut<W>>::ChunksMut<'a>;
/// A segment of data associated with a specific shard.
type ShardData<'a, W, D> = <ShardDataIter<'a, W, D> as Iterator>::Item;

/// Builds a new function using a `Box<[W]>` to store values.
///
/// Since values are stored in a boxed slice access is particularly fast, but
/// the bit width of the output of the function will be exactly the bit width of
/// the unsigned type `W`.
impl<W: ZeroCopy + Word, S: Sig + Send + Sync, E: ShardEdge<S, 3>> VBuilder<W, Box<[W]>, S, E>
where
    u128: UpcastableFrom<W>,
    SigVal<S, W>: RadixKey,
    SigVal<E::LocalSig, W>: BitXor + BitXorAssign,
    Box<[W]>: BitFieldSliceMut<W> + BitFieldSlice<W>,
{
    pub fn try_build_func<T: ?Sized + ToSig<S> + std::fmt::Debug>(
        mut self,
        keys: impl RewindableIoLender<T>,
        values: impl RewindableIoLender<W>,
        pl: &mut (impl ProgressLog + Clone + Send + Sync),
    ) -> anyhow::Result<VFunc<T, W, Box<[W]>, S, E>>
    where
        for<'a> ShardDataIter<'a, W, Box<[W]>>: Send,
        for<'a> ShardData<'a, W, Box<[W]>>: Send,
    {
        let get_val = |_shard_edge: &E, sig_val: SigVal<E::LocalSig, W>| sig_val.val;
        let new_data = |_bit_width: usize, len: usize| vec![W::ZERO; len].into();
        self.build_loop(keys, values, None, &get_val, new_data, pl)
    }
}

/// Builds a new filter using a `Box<[W]>` to store values.
///
/// Since values are stored in a boxed slice access is particularly fast, but
/// the number of bits of the hashes will be  exactly the bit width of the
/// unsigned type `W`.
impl<W: ZeroCopy + Word + DowncastableFrom<u64>, S: Sig + Send + Sync, E: ShardEdge<S, 3>>
    VBuilder<W, Box<[W]>, S, E>
where
    u128: UpcastableFrom<W>,
    SigVal<S, EmptyVal>: RadixKey,
    SigVal<E::LocalSig, EmptyVal>: BitXor + BitXorAssign,
    Box<[W]>: BitFieldSliceMut<W> + BitFieldSlice<W>,
{
    pub fn try_build_filter<T: ?Sized + ToSig<S> + std::fmt::Debug>(
        mut self,
        keys: impl RewindableIoLender<T>,
        pl: &mut (impl ProgressLog + Clone + Send + Sync),
    ) -> anyhow::Result<VFilter<W, VFunc<T, W, Box<[W]>, S, E>>>
    where
        for<'a> ShardDataIter<'a, W, Box<[W]>>: Send,
        for<'a> ShardData<'a, W, Box<[W]>>: Send,
    {
        let filter_mask = W::MAX;
        let get_val = |shard_edge: &E, sig_val: SigVal<E::LocalSig, EmptyVal>| {
            mix64(shard_edge.edge_hash(sig_val.sig)).downcast()
        };
        let new_data = |_bit_width: usize, len: usize| vec![W::ZERO; len].into();

        Ok(VFilter {
            func: self.build_loop(
                keys,
                FromIntoIterator::from(itertools::repeat_n(EmptyVal::default(), usize::MAX)),
                Some(W::BITS),
                &get_val,
                new_data,
                pl,
            )?,
            filter_mask,
            hash_bits: W::BITS as u32,
        })
    }
}

/// Builds a new function using a [bit-field vector](BitFieldVec) on words of
/// the unsigned type `W` to store values.
///
/// Since values are stored in a bit-field vector access will be slower than
/// when using a boxed slice, but the bit width of stored values will be the
/// minimum necessary. It must be in any case at most the bit width of `W`.
///
/// Typically `W` will be `usize` or `u64`.
impl<W: ZeroCopy + Word, S: Sig + Send + Sync, E: ShardEdge<S, 3>> VBuilder<W, BitFieldVec<W>, S, E>
where
    u128: UpcastableFrom<W>,
    SigVal<S, W>: RadixKey,
    SigVal<E::LocalSig, W>: BitXor + BitXorAssign,
{
    pub fn try_build_func<T: ?Sized + ToSig<S> + std::fmt::Debug>(
        mut self,
        keys: impl RewindableIoLender<T>,
        values: impl RewindableIoLender<W>,
        pl: &mut (impl ProgressLog + Clone + Send + Sync),
    ) -> anyhow::Result<VFunc<T, W, BitFieldVec<W>, S, E>> {
        let get_val = |_shard_edge: &E, sig_val: SigVal<E::LocalSig, W>| sig_val.val;
        let new_data = |bit_width, len| BitFieldVec::<W>::new_unaligned(bit_width, len);
        self.build_loop(keys, values, None, &get_val, new_data, pl)
    }
}

/// Builds a new filter using a [bit-field vector](BitFieldVec) on words of the
/// unsigned type `W` to store values.
///
/// Since values are stored in a bit-field vector access will be slower than
/// when using a boxed slice, but the number of bits of the hashes can be set at
/// will. It must be in any case at most the bit width of `W`.
///
/// Typically `W` will be `usize` or `u64`.
impl<W: ZeroCopy + Word + DowncastableFrom<u64>, S: Sig + Send + Sync, E: ShardEdge<S, 3>>
    VBuilder<W, BitFieldVec<W>, S, E>
where
    u128: UpcastableFrom<W>,
    SigVal<S, EmptyVal>: RadixKey,
    SigVal<E::LocalSig, EmptyVal>: BitXor + BitXorAssign,
{
    pub fn try_build_filter<T: ?Sized + ToSig<S> + std::fmt::Debug>(
        mut self,
        keys: impl RewindableIoLender<T>,
        filter_bits: usize,
        pl: &mut (impl ProgressLog + Clone + Send + Sync),
    ) -> anyhow::Result<VFilter<W, VFunc<T, W, BitFieldVec<W>, S, E>>> {
        assert!(filter_bits > 0);
        assert!(filter_bits <= W::BITS);
        let filter_mask = W::MAX >> (W::BITS - filter_bits);
        let get_val = |shard_edge: &E, sig_val: SigVal<E::LocalSig, EmptyVal>| {
            <W as DowncastableFrom<u64>>::downcast_from(mix64(shard_edge.edge_hash(sig_val.sig)))
                & filter_mask
        };
        let new_data = |bit_width, len| BitFieldVec::<W>::new_unaligned(bit_width, len);

        Ok(VFilter {
            func: self.build_loop(
                keys,
                FromIntoIterator::from(itertools::repeat_n(EmptyVal::default(), usize::MAX)),
                Some(filter_bits),
                &get_val,
                new_data,
                pl,
            )?,
            filter_mask,
            hash_bits: filter_bits as _,
        })
    }
}

impl<
        W: ZeroCopy + Word,
        D: BitFieldSlice<W> + BitFieldSliceMut<W> + Send + Sync,
        S: Sig + Send + Sync,
        E: ShardEdge<S, 3>,
    > VBuilder<W, D, S, E>
{
    /// Builds and returns a new function with given keys and values.
    ///
    /// This method can build functions based both on vectors and on bit-field
    /// vectors. The necessary abstraction is provided by the
    /// `new_data(bit_width, len)` function, which is called to create the data
    /// structure to store the values.
    ///
    /// When `V` is [`EmptyVal`], the this method builds a function supporting a
    /// filter by mapping each key to a mix of its local signature. The
    /// necessary abstraction is provided by the `get_val` function, which is
    /// called to extract the value from the signature/value pair; in the case
    /// of functions it returns the value stored in the signature/value pair,
    /// and in the case of filters it returns the hash associated with the
    /// signature.
    fn build_loop<
        T: ?Sized + ToSig<S> + std::fmt::Debug,
        V: ZeroCopy + Default + Send + Sync + Ord + UpcastableInto<u128>,
    >(
        &mut self,
        mut keys: impl RewindableIoLender<T>,
        mut values: impl RewindableIoLender<V>,
        bit_width: Option<usize>,
        get_val: &(impl Fn(&E, SigVal<E::LocalSig, V>) -> W + Send + Sync),
        new_data: fn(usize, usize) -> D,
        pl: &mut (impl ProgressLog + Clone + Send + Sync),
    ) -> anyhow::Result<VFunc<T, W, D, S, E>>
    where
        u128: UpcastableFrom<W>,
        SigVal<S, V>: RadixKey,
        SigVal<E::LocalSig, V>: BitXor + BitXorAssign,
        for<'a> ShardDataIter<'a, W, D>: Send,
        for<'a> <ShardDataIter<'a, W, D> as Iterator>::Item: Send,
    {
        let mut dup_count = 0;
        let mut local_dup_count = 0;
        let mut prng = SmallRng::seed_from_u64(self.seed);

        if let Some(expected_num_keys) = self.expected_num_keys {
            self.shard_edge.set_up_shards(expected_num_keys, self.eps);
            self.log2_buckets = self.shard_edge.shard_high_bits();
        }

        pl.info(format_args!("Using 2^{} buckets", self.log2_buckets));

        // Loop until success or duplicate detection
        loop {
            let seed = prng.random();

            match if self.offline {
                self.try_seed(
                    seed,
                    sig_store::new_offline::<S, V>(
                        self.log2_buckets,
                        LOG2_MAX_SHARDS,
                        self.expected_num_keys,
                    )?,
                    &mut keys,
                    &mut values,
                    bit_width,
                    get_val,
                    new_data,
                    pl,
                )
            } else {
                self.try_seed(
                    seed,
                    sig_store::new_online::<S, V>(
                        self.log2_buckets,
                        LOG2_MAX_SHARDS,
                        self.expected_num_keys,
                    )?,
                    &mut keys,
                    &mut values,
                    bit_width,
                    get_val,
                    new_data,
                    pl,
                )
            } {
                Ok(func) => {
                    return Ok(func);
                }
                Err(error) => {
                    match error.downcast::<SolveError>() {
                        Ok(vfunc_error) => match vfunc_error {
                            // Let's try another seed, but just a few times--most likely,
                            // duplicate keys
                            SolveError::DuplicateSignature => {
                                if dup_count >= 3 {
                                    pl.error(format_args!("Duplicate keys (duplicate 128-bit signatures with four different seeds)"));
                                    return Err(BuildError::DuplicateKey.into());
                                }
                                pl.warn(format_args!(
                                "Duplicate 128-bit signature, trying again with a different seed..."
                                ));
                                dup_count += 1;
                            }
                            // Let's try another seed, but just a few times
                            SolveError::DuplicateLocalSignature => {
                                if local_dup_count >= 2 {
                                    pl.error(format_args!("Duplicate local signatures: use full signatures (duplicate local signatures with three different seeds)"));
                                    return Err(BuildError::DuplicateLocalSignatures.into());
                                }
                                pl.warn(format_args!(
                                "Duplicate local signature, trying again with a different seed..."
                                ));
                                local_dup_count += 1;
                            }
                            SolveError::MaxShardTooBig => {
                                pl.warn(format_args!(
                                "The maximum shard is too big, trying again with a different seed..."
                               ));
                            }
                            // Let's just try another seed
                            SolveError::UnsolvableShard => {
                                pl.warn(format_args!(
                                    "Unsolvable shard, trying again with a different seed..."
                                ));
                            }
                        },
                        Err(error) => return Err(error),
                    }
                }
            }

            values = values.rewind()?;
            keys = keys.rewind()?;
        }
    }
}

impl<
        W: ZeroCopy + Word,
        D: BitFieldSlice<W> + BitFieldSliceMut<W> + Send + Sync,
        S: Sig + Send + Sync,
        E: ShardEdge<S, 3>,
    > VBuilder<W, D, S, E>
{
    /// Tries to build a function using specific seed. See the comments in the
    /// [`VBuilder::build_loop`] method for more details.
    ///
    /// This methods reads the input, sets up the shards, allocates the backend
    /// using `new_data`, and passes the backend and an iterator on shards to
    /// the [`VBuilder::try_build_from_shard_iter`] method.
    fn try_seed<
        T: ?Sized + ToSig<S> + std::fmt::Debug,
        V: ZeroCopy + Default + Send + Sync + Ord + UpcastableInto<u128>,
        G: Fn(&E, SigVal<E::LocalSig, V>) -> W + Send + Sync,
    >(
        &mut self,
        seed: u64,
        mut sig_store: impl SigStore<S, V>,
        keys: &mut impl RewindableIoLender<T>,
        values: &mut impl RewindableIoLender<V>,
        bit_width: Option<usize>,
        get_val: &G,
        new_data: fn(usize, usize) -> D,
        pl: &mut (impl ProgressLog + Clone + Send + Sync),
    ) -> anyhow::Result<VFunc<T, W, D, S, E>>
    where
        SigVal<S, V>: RadixKey,
        SigVal<E::LocalSig, V>: BitXor + BitXorAssign,
        for<'a> ShardDataIter<'a, W, D>: Send,
        for<'a> <ShardDataIter<'a, W, D> as Iterator>::Item: Send,
    {
        let shard_edge = &mut self.shard_edge;

        pl.expected_updates(self.expected_num_keys);
        pl.item_name("key");
        pl.start(format!(
            "Computing and storing {}-bit signatures in {} using seed 0x{:016x}...",
            std::mem::size_of::<S>() * 8,
            sig_store
                .temp_dir()
                .map(|d| d.path().to_string_lossy())
                .unwrap_or(Cow::Borrowed("memory")),
            seed
        ));

        // This will be the maximum value for functions and EmptyVal for filters
        let mut maybe_max_value = V::default();
        let start = Instant::now();

        while let Some(result) = keys.next() {
            match result {
                Ok(key) => {
                    pl.light_update();
                    // This might be an actual value, if we are building a
                    // function, or EmptyVal, if we are building a filter.
                    let &maybe_val = values.next().expect("Not enough values")?;
                    let sig_val = SigVal {
                        sig: T::to_sig(key, seed),
                        val: maybe_val,
                    };
                    maybe_max_value = Ord::max(maybe_max_value, maybe_val);
                    sig_store.try_push(sig_val)?;
                }
                Err(e) => return Err(e.into()),
            }
        }
        pl.done();

        self.num_keys = sig_store.len();
        self.bit_width = if TypeId::of::<V>() == TypeId::of::<EmptyVal>() {
            bit_width.expect("Bit width must be set for filters")
        } else {
            let len_width = maybe_max_value.upcast().len() as usize;
            if let Some(bit_width) = bit_width {
                if len_width > bit_width {
                    return Err(BuildError::ValueTooLarge.into());
                }
                bit_width
            } else {
                len_width
            }
        };

        info!(
            "Computation of signatures from inputs completed in {:.3} seconds ({} keys, {:.3} ns/key)",
            start.elapsed().as_secs_f64(),
            self.num_keys,
            start.elapsed().as_nanos() as f64 / self.num_keys as f64
        );

        let start = Instant::now();

        let shard_store = sig_store.into_shard_store(shard_edge.shard_high_bits())?;
        let max_shard = shard_store.shard_sizes().iter().copied().max().unwrap_or(0);
        let filter = TypeId::of::<V>() == TypeId::of::<EmptyVal>();

        shard_edge.set_up_shards(self.num_keys, self.eps);
        (self.c, self.lge) = shard_edge.set_up_graphs(self.num_keys, max_shard);

        if filter {
            pl.info(format_args!(
                "Number of keys: {} Bit width: {}",
                self.num_keys, self.bit_width,
            ));
        } else {
            pl.info(format_args!(
                "Number of keys: {} Max value: {} Bit width: {}",
                self.num_keys,
                maybe_max_value.upcast(),
                self.bit_width,
            ));
        }

        if shard_edge.shard_high_bits() != 0 {
            pl.info(format_args!(
                "Max shard / average shard: {:.2}%",
                (100.0 * max_shard as f64)
                    / (self.num_keys as f64 / shard_edge.num_shards() as f64)
            ));
        }

        if max_shard as f64 > 1.01 * self.num_keys as f64 / shard_edge.num_shards() as f64 {
            // This might sometimes happen with small sharded graphs
            Err(SolveError::MaxShardTooBig.into())
        } else {
            let data = new_data(
                self.bit_width,
                shard_edge.num_vertices() * shard_edge.num_shards(),
            );
            self.try_build_from_shard_iter(seed, data, shard_store.into_iter(), get_val, pl)
                .inspect(|_| {
                    info!(
                        "Construction from signatures completed in {:.3} seconds ({} keys, {:.3} ns/key)",
                        start.elapsed().as_secs_f64(),
                        self.num_keys,
                        start.elapsed().as_nanos() as f64 / self.num_keys as f64
                    );
                })
                .map_err(Into::into)
        }
    }

    /// Builds and return a new function starting from an iterator on shards.
    ///
    /// See [`VBuilder::build_loop`] for more details on the parameters.
    fn try_build_from_shard_iter<
        T: ?Sized + ToSig<S>,
        I,
        P,
        V: ZeroCopy + Default + Send + Sync,
        G: Fn(&E, SigVal<E::LocalSig, V>) -> W + Send + Sync,
    >(
        &mut self,
        seed: u64,
        mut data: D,
        shard_iter: I,
        get_val: &G,
        pl: &mut P,
    ) -> Result<VFunc<T, W, D, S, E>, SolveError>
    where
        SigVal<S, V>: RadixKey,
        SigVal<E::LocalSig, V>: BitXor + BitXorAssign,
        P: ProgressLog + Clone + Send + Sync,
        I: Iterator<Item = Arc<Vec<SigVal<S, V>>>> + Send,
        for<'a> ShardDataIter<'a, W, D>: Send,
        for<'a> <ShardDataIter<'a, W, D> as Iterator>::Item: Send,
    {
        let shard_edge = &self.shard_edge;
        self.num_threads = shard_edge.num_shards().min(self.max_num_threads);

        pl.info(format_args!("{}", self.shard_edge));
        pl.info(format_args!(
            "c: {}, Overhead: {:+.4}% Number of threads: {}",
            self.c,
            100. * ((shard_edge.num_vertices() * shard_edge.num_shards()) as f64
                / (self.num_keys as f64)
                - 1.),
            self.num_threads
        ));

        if self.lge {
            pl.info(format_args!("Peeling towards lazy Gaussian elimination"));
            self.par_solve(
                shard_iter,
                &mut data,
                |this, shard_index, shard, data, pl| {
                    this.lge_shard(shard_index, shard, data, get_val, pl)
                },
                &mut pl.concurrent(),
                pl,
            )?;
        } else if self.low_mem == Some(true)
            || self.low_mem.is_none() && self.num_threads > 3 && shard_edge.num_shards() > 2
        {
            // Less memory, but slower
            self.par_solve(
                shard_iter,
                &mut data,
                |this, shard_index, shard, data, pl| {
                    this.peel_by_sig_vals_low_mem(shard_index, shard, data, get_val, pl)
                },
                &mut pl.concurrent(),
                pl,
            )?;
        } else {
            // More memory, but faster
            self.par_solve(
                shard_iter,
                &mut data,
                |this, shard_index, shard, data, pl| {
                    this.peel_by_sig_vals_high_mem(shard_index, shard, data, get_val, pl)
                },
                &mut pl.concurrent(),
                pl,
            )?;
        }

        pl.info(format_args!(
            "Bits/keys: {} ({:+.4}%)",
            data.len() as f64 * self.bit_width as f64 / self.num_keys as f64,
            100.0 * (data.len() as f64 / self.num_keys as f64 - 1.),
        ));

        Ok(VFunc {
            seed,
            shard_edge: self.shard_edge,
            num_keys: self.num_keys,
            data,
            _marker_t: std::marker::PhantomData,
            _marker_w: std::marker::PhantomData,
            _marker_s: std::marker::PhantomData,
        })
    }
}

macro_rules! remove_edge {
    ($xor_graph: ident, $e: ident, $side: ident, $edge: ident, $stack: ident, $push:ident) => {
        match $side {
            0 => {
                if $xor_graph.degree($e[1]) == 2 {
                    $stack.$push($e[1].cast());
                }
                $xor_graph.remove($e[1], $edge, 1);
                if $xor_graph.degree($e[2]) == 2 {
                    $stack.$push($e[2].cast());
                }
                $xor_graph.remove($e[2], $edge, 2);
            }
            1 => {
                if $xor_graph.degree($e[0]) == 2 {
                    $stack.$push($e[0].cast());
                }
                $xor_graph.remove($e[0], $edge, 0);
                if $xor_graph.degree($e[2]) == 2 {
                    $stack.$push($e[2].cast());
                }
                $xor_graph.remove($e[2], $edge, 2);
            }
            2 => {
                if $xor_graph.degree($e[0]) == 2 {
                    $stack.$push($e[0].cast());
                }
                $xor_graph.remove($e[0], $edge, 0);
                if $xor_graph.degree($e[1]) == 2 {
                    $stack.$push($e[1].cast());
                }
                $xor_graph.remove($e[1], $edge, 1);
            }
            _ => unsafe { unreachable_unchecked() },
        }
    };
}

impl<
        W: ZeroCopy + Word + Send + Sync,
        D: BitFieldSlice<W> + BitFieldSliceMut<W> + Send + Sync,
        S: Sig + ZeroCopy + Send + Sync,
        E: ShardEdge<S, 3>,
    > VBuilder<W, D, S, E>
{
    fn count_sort<V: ZeroCopy>(&self, data: &mut [SigVal<S, V>]) {
        let num_sort_keys = self.shard_edge.num_sort_keys();
        let mut count = vec![0; num_sort_keys];

        let mut copied = Box::new_uninit_slice(data.len());
        for (&sig_val, copy) in data.iter().zip(copied.iter_mut()) {
            count[self.shard_edge.sort_key(sig_val.sig)] += 1;
            copy.write(sig_val);
        }
        let copied = unsafe { copied.assume_init() };

        count.iter_mut().fold(0, |acc, c| {
            let old = *c;
            *c = acc;
            acc + old
        });

        for &sig_val in copied.iter() {
            let key = self.shard_edge.sort_key(sig_val.sig);
            data[count[key]] = sig_val;
            count[key] += 1;
        }
    }

    /// After this number of keys, in the case of filters we remove duplicate
    /// edges.
    const MAX_NO_LOCAL_SIG_CHECK: usize = 1 << 33;

    /// Solves in parallel shards returned by an iterator, storing
    /// the result in `data`.
    ///
    /// # Arguments
    ///
    /// * `shard_iter`: an iterator returning the shards to solve.
    ///
    /// * `data`: the storage for the solution values.
    ///
    /// * `solve_shard`: a method to solve a shard; it takes the shard index,
    ///   the shard, shard-local data, and a progress logger. It may
    ///   fail by returning an error.
    ///
    /// * `main_pl`: the progress logger for the overall computation.
    ///
    /// * `pl`: a progress logger that will be cloned to display the progress of
    ///   a current shard.
    ///
    /// # Errors
    ///
    /// This method returns an error if one of the shards cannot be solved, or
    /// if duplicates are detected.
    fn par_solve<
        'b,
        V: ZeroCopy + Send + Sync,
        I: IntoIterator<Item = Arc<Vec<SigVal<S, V>>>> + Send,
        SS: Fn(&Self, usize, Arc<Vec<SigVal<S, V>>>, ShardData<'b, W, D>, &mut P) -> Result<(), ()>
            + Send
            + Sync
            + Copy,
        C: ConcurrentProgressLog + Send + Sync,
        P: ProgressLog + Clone + Send + Sync,
    >(
        &self,
        shard_iter: I,
        data: &'b mut D,
        solve_shard: SS,
        main_pl: &mut C,
        pl: &mut P,
    ) -> Result<(), SolveError>
    where
        I::IntoIter: Send,
        SigVal<S, V>: RadixKey,
        for<'a> ShardDataIter<'a, W, D>: Send,
        for<'a> <ShardDataIter<'a, W, D> as Iterator>::Item: Send,
    {
        main_pl
            .item_name("shard")
            .expected_updates(Some(self.shard_edge.num_shards()))
            .display_memory(true)
            .start("Solving shards...");

        self.failed.store(false, Ordering::Relaxed);
        let num_shards = self.shard_edge.num_shards();
        let buffer_size = self.num_threads.ilog2() as usize;

        let (err_send, err_recv) = crossbeam_channel::bounded::<_>(self.num_threads);
        let (data_send, data_recv) = crossbeam_channel::bounded::<(
            usize,
            (Arc<Vec<SigVal<S, V>>>, ShardData<'_, W, D>),
        )>(buffer_size);

        let result = std::thread::scope(|scope| {
            scope.spawn(move || {
                let _ = thread_priority::set_current_thread_priority(ThreadPriority::Max);
                for val in shard_iter
                    .into_iter()
                    .zip(data.try_chunks_mut(self.shard_edge.num_vertices()).unwrap())
                    .enumerate()
                {
                    if data_send.send(val).is_err() {
                        break;
                    }
                }

                drop(data_send);
            });

            for _thread_id in 0..self.num_threads {
                let mut main_pl = main_pl.clone();
                let mut pl = pl.clone();
                let err_send = err_send.clone();
                let data_recv = data_recv.clone();
                scope.spawn(move || {
                    loop {
                        match data_recv.recv() {
                            Err(_) => return,
                            Ok((shard_index, (shard, mut data))) => {
                                if shard.is_empty() {
                                    return;
                                }

                                main_pl.info(format_args!(
                                    "Analyzing shard {}/{}...",
                                    shard_index + 1,
                                    num_shards
                                ));

                                pl.start(format!(
                                    "Sorting shard {}/{}...",
                                    shard_index + 1,
                                    num_shards
                                ));

                                {
                                    // SAFETY: only one thread may be accessing the
                                    // shard, and we will be consuming it
                                    let shard = unsafe {
                                        &mut *(Arc::as_ptr(&shard) as *mut Vec<SigVal<S, V>>)
                                    };

                                    if self.check_dups {
                                        shard.radix_sort_builder().sort();
                                        if shard.par_windows(2).any(|w| w[0].sig == w[1].sig) {
                                            let _ = err_send.send(SolveError::DuplicateSignature);
                                            return;
                                        }
                                    }

                                    if TypeId::of::<E::LocalSig>() != TypeId::of::<S>()
                                        && self.num_keys > Self::MAX_NO_LOCAL_SIG_CHECK
                                    {
                                        // Check for duplicate local signatures

                                        // E::SortSig provides a transmutable
                                        // view of SigVal with an implementation
                                        // of RadixKey that is compatible with
                                        // the sort induced by the key returned
                                        // by ShardEdge::sort_key, and equality
                                        // that implies equality of local
                                        // signatures.

                                        // SAFETY: we drop this immediately after sorting.
                                        let shard = unsafe {
                                            transmute::<
                                                &mut Vec<SigVal<S, V>>,
                                                &mut Vec<E::SortSigVal<V>>,
                                            >(shard)
                                        };

                                        let builder = shard.radix_sort_builder();
                                        if self.max_num_threads == 1 {
                                            builder
                                                .with_single_threaded_tuner()
                                                .with_parallel(false)
                                        } else {
                                            builder
                                        }
                                        .sort();

                                        let shard_len = shard.len();
                                        shard.dedup();

                                        if TypeId::of::<V>() == TypeId::of::<EmptyVal>() {
                                            // Duplicate local signatures on
                                            // large filters can be simply
                                            // removed: they do not change the
                                            // semantics of the filter because
                                            // hashes are computed on
                                            // local signatures.
                                            pl.info(format_args!(
                                                "Removed signatures: {}",
                                                shard_len - shard.len()
                                            ));
                                        } else {
                                            // For function, we have to try again
                                            if shard_len != shard.len() {
                                                let _ = err_send
                                                    .send(SolveError::DuplicateLocalSignature);
                                                return;
                                            }
                                        }
                                    } else if self.shard_edge.num_sort_keys() != 1 {
                                        // Sorting the signatures increases locality
                                        self.count_sort::<V>(shard);
                                    }
                                }

                                pl.done_with_count(shard.len());

                                main_pl.info(format_args!(
                                    "Solving shard {}/{}...",
                                    shard_index + 1,
                                    num_shards
                                ));

                                if self.failed.load(Ordering::Relaxed) {
                                    return;
                                }

                                if TypeId::of::<V>() == TypeId::of::<EmptyVal>() {
                                    // For filters, we fill the array with random data, otherwise
                                    // elements with signature 0 would have a significantly higher
                                    // probability of being false positives.
                                    //
                                    // SAFETY: We work around the fact that [usize] does not implement Fill
                                    Mwc192::seed_from_u64(self.seed).fill_bytes(unsafe {
                                        data.as_mut_slice().align_to_mut::<u8>().1
                                    });
                                }

                                if solve_shard(self, shard_index, shard, data, &mut pl).is_err() {
                                    let _ = err_send.send(SolveError::UnsolvableShard);
                                    return;
                                }

                                if self.failed.load(Ordering::Relaxed) {
                                    return;
                                }

                                main_pl.info(format_args!(
                                    "Completed shard {}/{}",
                                    shard_index + 1,
                                    num_shards
                                ));
                                main_pl.update_and_display();
                            }
                        }
                    }
                });
            }

            drop(err_send);
            drop(data_recv);

            if let Some(error) = err_recv.into_iter().next() {
                self.failed.store(true, Ordering::Relaxed);
                return Err(error);
            }

            Ok(())
        });

        main_pl.done();
        result
    }

    /// Peels a shard via edge indices.
    ///
    /// This peeler uses a [`SigVal`] per key (the shard), a
    /// [`ShardEdge::Vertex`] and a byte per vertex (for the [`XorGraph`]), a
    /// [`ShardEdge::Vertex`] per vertex (for the [`DoubleStack`]), and a final
    /// byte per vertex (for the stack of sides).
    ///
    /// This peeler uses more memory than
    /// [`peek_by_sig_vals_low_mem`](VBuilder::peel_by_sig_vals_low_mem) but
    /// less memory than
    /// [`peel_by_sig_vals_high_mem`](VBuilder::peel_by_sig_vals_high_mem). It
    /// is fairly slow as it has to go through a cache-unfriendly memory
    /// indirection every time it has to retrieve a [`SigVal`] from the shard,
    /// but it is the peeler of choice when [lazy Gaussian
    /// elimination](https://doi.org/10.1016/j.ic.2020.104517) is required, as
    /// after a failed peel-by-sig-vals it is not possible to retrieve
    /// information about the signature/value pairs in the shard.
    ///
    /// In theory one could avoid the stack of sides by putting vertices,
    /// instead of edge indices, on the upper stack, and retrieving edge indices
    /// and sides from the [`XorGraph`], as
    /// [`peel_by_sig_vals_low_mem`](VBuilder::peel_by_sig_vals_low_mem) does,
    ///  but this would be less cache friendly. This peeler is only used for
    /// very small instances, and since we are going to pass through lazy
    /// Gaussian elimination some additional speed is a good idea.
    fn peel_by_index<
        'a,
        V: ZeroCopy + Send + Sync,
        G: Fn(&E, SigVal<E::LocalSig, V>) -> W + Send + Sync,
    >(
        &self,
        shard_index: usize,
        shard: Arc<Vec<SigVal<S, V>>>,
        data: ShardData<'a, W, D>,
        get_val: &G,
        pl: &mut impl ProgressLog,
    ) -> Result<PeelResult<'a, W, D, S, E, V>, ()> {
        let shard_edge = &self.shard_edge;
        let num_vertices = shard_edge.num_vertices();
        let num_shards = shard_edge.num_shards();

        pl.start(format!(
            "Generating graph for shard {}/{}...",
            shard_index + 1,
            num_shards
        ));

        let mut xor_graph = XorGraph::<E::Vertex>::new(num_vertices);
        for (edge_index, sig_val) in shard.iter().enumerate() {
            for (side, &v) in shard_edge
                .local_edge(shard_edge.local_sig(sig_val.sig))
                .iter()
                .enumerate()
            {
                xor_graph.add(v, edge_index.cast(), side);
            }
        }
        pl.done_with_count(shard.len());

        assert!(
            !xor_graph.overflow,
            "Degree overflow for shard {}/{}",
            shard_index + 1,
            num_shards
        );

        if self.failed.load(Ordering::Relaxed) {
            return Err(());
        }

        // The lower stack contains vertices to be visited. The upper stack
        // contains peeled edges.
        let mut double_stack = DoubleStack::<E::Vertex>::new(num_vertices);
        let mut sides_stack = Vec::<u8>::new();

        pl.start(format!(
            "Peeling graph for shard {}/{} by edge indices...",
            shard_index + 1,
            num_shards
        ));

        // Preload all vertices of degree one in the visit stack
        for (v, degree) in xor_graph.degrees().enumerate() {
            if degree == 1 {
                double_stack.push_lower(v.cast());
            }
        }

        while let Some(v) = double_stack.pop_lower() {
            let v: usize = v.upcast();
            if xor_graph.degree(v) == 0 {
                continue;
            }
            debug_assert!(xor_graph.degree(v) == 1);
            let (edge_index, side) = xor_graph.edge_and_side(v);
            xor_graph.zero(v);
            double_stack.push_upper(edge_index);
            sides_stack.push(side as u8);

            let e = shard_edge.local_edge(shard_edge.local_sig(shard[edge_index.upcast()].sig));
            remove_edge!(xor_graph, e, side, edge_index, double_stack, push_lower);
        }

        pl.done();

        if shard.len() != double_stack.upper_len() {
            pl.info(format_args!(
                "Peeling failed for shard {}/{} (peeled {} out of {} edges)",
                shard_index + 1,
                num_shards,
                double_stack.upper_len(),
                shard.len(),
            ));
            return Ok(PeelResult::Partial {
                shard_index,
                shard,
                data,
                double_stack,
                sides_stack,
            });
        }

        self.assign(
            shard_index,
            data,
            double_stack
                .iter_upper()
                .map(|&edge_index| {
                    // Turn edge indices into local edge signatures
                    // and associated values
                    let sig_val = &shard[edge_index.upcast()];
                    let local_sig = shard_edge.local_sig(sig_val.sig);
                    (
                        local_sig,
                        get_val(
                            shard_edge,
                            SigVal {
                                sig: local_sig,
                                val: sig_val.val,
                            },
                        ),
                    )
                })
                .zip(sides_stack.into_iter().rev()),
            pl,
        );

        Ok(PeelResult::Complete())
    }

    /// Peels a shard via signature/value pairs using a stack of peeled
    /// signatures/value pairs.
    ///
    /// This peeler does not need the shard once the [`XorGraph`] is built, so
    /// it drops it immediately after building the graph.
    ///
    /// It uses a [`SigVal`] and a byte per vertex (for the [`XorGraph`]), a
    /// [`ShardEdge::Vertex`] per vertex (for visit stack, albeit usually the stack
    /// never contains more than a third of the vertices), and a [`SigVal`] and
    /// a byte per key (for the stack of peeled edges).
    ///
    /// This is the fastest and more memory-consuming peeler. It has however
    /// just a small advantage during assignment with respect to
    /// [`peek_by_sig_vals_low_mem`](VBuilder::peel_by_sig_vals_low_mem), which
    /// uses almost half the memory. It is the peeler of choice for low levels
    /// of parallelism.
    ///
    /// This peeler cannot be used in conjunction with [lazy Gaussian
    /// elimination](https://doi.org/10.1016/j.ic.2020.104517) as after a failed
    /// peeling it is not possible to retrieve information about the
    /// signature/value pairs in the shard.
    fn peel_by_sig_vals_high_mem<
        V: ZeroCopy + Send + Sync,
        G: Fn(&E, SigVal<E::LocalSig, V>) -> W + Send + Sync,
    >(
        &self,
        shard_index: usize,
        shard: Arc<Vec<SigVal<S, V>>>,
        data: ShardData<'_, W, D>,
        get_val: &G,
        pl: &mut impl ProgressLog,
    ) -> Result<(), ()>
    where
        SigVal<E::LocalSig, V>: BitXor + BitXorAssign + Default,
    {
        let shard_edge = &self.shard_edge;
        let num_vertices = shard_edge.num_vertices();
        let num_shards = shard_edge.num_shards();
        let shard_len = shard.len();

        pl.start(format!(
            "Generating graph for shard {}/{}...",
            shard_index + 1,
            num_shards
        ));

        let mut xor_graph = XorGraph::<SigVal<E::LocalSig, V>>::new(num_vertices);
        for &sig_val in shard.iter() {
            let local_sig = shard_edge.local_sig(sig_val.sig);
            for (side, &v) in shard_edge.local_edge(local_sig).iter().enumerate() {
                xor_graph.add(
                    v,
                    SigVal {
                        sig: local_sig,
                        val: sig_val.val,
                    },
                    side,
                );
            }
        }
        pl.done_with_count(shard.len());

        // We are using a consuming iterator over the shard store, so this
        // drop will free the memory used by the signatures
        drop(shard);

        assert!(
            !xor_graph.overflow,
            "Degree overflow for shard {}/{}",
            shard_index + 1,
            num_shards
        );

        if self.failed.load(Ordering::Relaxed) {
            return Err(());
        }

        let mut sig_vals_stack = FastStack::<SigVal<E::LocalSig, V>>::new(shard_len);
        let mut sides_stack = FastStack::<u8>::new(shard_len);
        // Experimentally this stack never grows beyond a little more than
        // num_vertices / 4
        let mut visit_stack = Vec::<E::Vertex>::with_capacity(num_vertices / 3);

        pl.start(format!(
            "Peeling graph for shard {}/{} by signatures (high-mem)...",
            shard_index + 1,
            num_shards
        ));

        // Preload all vertices of degree one in the visit stack
        for (v, degree) in xor_graph.degrees().enumerate() {
            if degree == 1 {
                visit_stack.push(v.cast());
            }
        }

        while let Some(v) = visit_stack.pop() {
            let v: usize = v.upcast();
            if xor_graph.degree(v) == 0 {
                continue;
            }
            let (sig_val, side) = xor_graph.edge_and_side(v);
            xor_graph.zero(v);
            sig_vals_stack.push(sig_val);
            sides_stack.push(side as u8);

            let e = self.shard_edge.local_edge(sig_val.sig);
            remove_edge!(xor_graph, e, side, sig_val, visit_stack, push);
        }

        pl.done();

        if shard_len != sig_vals_stack.len() {
            pl.info(format_args!(
                "Peeling failed for shard {}/{} (peeled {} out of {} edges)",
                shard_index + 1,
                num_shards,
                sig_vals_stack.len(),
                shard_len
            ));
            return Err(());
        }

        self.assign(
            shard_index,
            data,
            sig_vals_stack
                .iter()
                .rev()
                .map(|&sig_val| (sig_val.sig, get_val(shard_edge, sig_val)))
                .zip(sides_stack.iter().copied().rev()),
            pl,
        );

        Ok(())
    }

    /// Peels a shard via signature/value pairs using a stack of vertices to
    /// represent peeled edges.
    ///
    /// This peeler does not need the shard once the [`XorGraph`] is built, so
    /// it drops it immediately after building the graph.
    ///
    /// It uses a [`SigVal`] and a byte per vertex (for the [`XorGraph`]) and a
    /// [`ShardEdge::Vertex`] per vertex (for a [`DoubleStack`]).
    ///
    /// This is by far the less memory-hungry peeler, and it is just slightly
    /// slower than
    /// [`peek_by_sig_vals_high_mem`](VBuilder::peel_by_sig_vals_high_mem),
    /// which uses almost twice the memory. It is the peeler of choice for
    /// significant levels of parallelism.
    ///
    /// This peeler cannot be used in conjunction with [lazy Gaussian
    /// elimination](https://doi.org/10.1016/j.ic.2020.104517) as after a
    /// failed peeling it is not possible to retrieve information about the
    /// signature/value pairs in the shard.
    fn peel_by_sig_vals_low_mem<
        V: ZeroCopy + Send + Sync,
        G: Fn(&E, SigVal<E::LocalSig, V>) -> W + Send + Sync,
    >(
        &self,
        shard_index: usize,
        shard: Arc<Vec<SigVal<S, V>>>,
        data: ShardData<'_, W, D>,
        get_val: &G,
        pl: &mut impl ProgressLog,
    ) -> Result<(), ()>
    where
        SigVal<E::LocalSig, V>: BitXor + BitXorAssign + Default,
    {
        let shard_edge = &self.shard_edge;
        let num_vertices = shard_edge.num_vertices();
        let num_shards = shard_edge.num_shards();
        let shard_len = shard.len();

        pl.start(format!(
            "Generating graph for shard {}/{}...",
            shard_index + 1,
            num_shards,
        ));

        let mut xor_graph = XorGraph::<SigVal<E::LocalSig, V>>::new(num_vertices);
        for &sig_val in shard.iter() {
            let local_sig = shard_edge.local_sig(sig_val.sig);
            for (side, &v) in shard_edge.local_edge(local_sig).iter().enumerate() {
                xor_graph.add(
                    v,
                    SigVal {
                        sig: local_sig,
                        val: sig_val.val,
                    },
                    side,
                );
            }
        }
        pl.done_with_count(shard.len());

        // We are using a consuming iterator over the shard store, so this
        // drop will free the memory used by the signatures
        drop(shard);

        assert!(
            !xor_graph.overflow,
            "Degree overflow for shard {}/{}",
            shard_index + 1,
            num_shards
        );

        if self.failed.load(Ordering::Relaxed) {
            return Err(());
        }

        let mut visit_stack = DoubleStack::<E::Vertex>::new(num_vertices);

        pl.start(format!(
            "Peeling graph for shard {}/{} by signatures (low-mem)...",
            shard_index + 1,
            num_shards
        ));

        // Preload all vertices of degree one in the visit stack
        for (v, degree) in xor_graph.degrees().enumerate() {
            if degree == 1 {
                visit_stack.push_lower(v.cast());
            }
        }

        while let Some(v) = visit_stack.pop_lower() {
            let v: usize = v.upcast();
            if xor_graph.degree(v) == 0 {
                continue;
            }
            let (sig_val, side) = xor_graph.edge_and_side(v);
            xor_graph.zero(v);
            visit_stack.push_upper(v.cast());

            let e = self.shard_edge.local_edge(sig_val.sig);
            remove_edge!(xor_graph, e, side, sig_val, visit_stack, push_lower);
        }

        pl.done();

        if shard_len != visit_stack.upper_len() {
            pl.info(format_args!(
                "Peeling failed for shard {}/{} (peeled {} out of {} edges)",
                shard_index + 1,
                num_shards,
                visit_stack.upper_len(),
                shard_len
            ));
            return Err(());
        }

        self.assign(
            shard_index,
            data,
            visit_stack.iter_upper().map(|&v| {
                let (sig_val, side) = xor_graph.edge_and_side(v.upcast());
                ((sig_val.sig, get_val(shard_edge, sig_val)), side as u8)
            }),
            pl,
        );

        Ok(())
    }

    /// Solves a shard of given index possibly using [lazy Gaussian
    /// elimination](https://doi.org/10.1016/j.ic.2020.104517), and stores the
    /// solution in the given data.
    ///
    /// As a first try, the shard is [peeled by index](VBuilder::peel_by_index).
    /// If the peeling is [partial](PeelResult::Partial), lazy Gaussian
    /// elimination is used to solve the remaining edges.
    ///
    /// This method will scan the double stack, without emptying it, to check
    /// which edges have been peeled. The information will be then passed to
    /// [`VBuilder::assign`] to complete the assignment of values.
    fn lge_shard<
        V: ZeroCopy + Send + Sync,
        G: Fn(&E, SigVal<E::LocalSig, V>) -> W + Send + Sync,
    >(
        &self,
        shard_index: usize,
        shard: Arc<Vec<SigVal<S, V>>>,
        data: ShardData<'_, W, D>,
        get_val: &G,
        pl: &mut impl ProgressLog,
    ) -> Result<(), ()> {
        let shard_edge = &self.shard_edge;
        // Let's try to peel first
        match self.peel_by_index(shard_index, shard, data, get_val, pl) {
            Err(()) => Err(()),
            Ok(PeelResult::Complete()) => Ok(()),
            Ok(PeelResult::Partial {
                shard_index,
                shard,
                mut data,
                double_stack,
                sides_stack,
            }) => {
                pl.info(format_args!("Switching to lazy Gaussian elimination..."));
                // Likely result--we have solve the rest
                pl.start(format!(
                    "Generating system for shard {}/{}...",
                    shard_index + 1,
                    shard_edge.num_shards()
                ));

                let num_vertices = shard_edge.num_vertices();
                let mut peeled_edges = BitVec::new(shard.len());
                let mut used_vars = BitVec::new(num_vertices);
                for &edge in double_stack.iter_upper() {
                    peeled_edges.set(edge.upcast(), true);
                }

                // Create data for a system using non-peeled edges
                //
                // SAFETY: there is no undefined behavior here, but the
                // raw construction methods we use assume that the
                // equations are sorted, that the variables are not repeated,
                // and the variables are in the range [0..num_vertices).
                let mut system = unsafe {
                    crate::utils::mod2_sys::Modulo2System::from_parts(
                        num_vertices,
                        shard
                            .iter()
                            .enumerate()
                            .filter(|(edge_index, _)| !peeled_edges[*edge_index])
                            .map(|(_edge_index, sig_val)| {
                                let local_sig = shard_edge.local_sig(sig_val.sig);
                                let mut eq: Vec<_> = shard_edge
                                    .local_edge(local_sig)
                                    .iter()
                                    .map(|&x| {
                                        used_vars.set(x, true);
                                        x as u32
                                    })
                                    .collect();
                                eq.sort_unstable();
                                crate::utils::mod2_sys::Modulo2Equation::from_parts(
                                    eq,
                                    get_val(
                                        shard_edge,
                                        SigVal {
                                            sig: local_sig,
                                            val: sig_val.val,
                                        },
                                    ),
                                )
                            })
                            .collect(),
                    )
                };

                if self.failed.load(Ordering::Relaxed) {
                    return Err(());
                }

                pl.start("Solving system...");
                let result = system.lazy_gaussian_elimination().map_err(|_| ())?;
                pl.done_with_count(system.num_equations());

                for (v, &value) in result.iter().enumerate().filter(|(v, _)| used_vars[*v]) {
                    data.set(v, value);
                }

                self.assign(
                    shard_index,
                    data,
                    double_stack
                        .iter_upper()
                        .map(|&edge_index| {
                            let sig_val = &shard[edge_index.upcast()];
                            let local_sig = shard_edge.local_sig(sig_val.sig);
                            (
                                local_sig,
                                get_val(
                                    shard_edge,
                                    SigVal {
                                        sig: local_sig,
                                        val: sig_val.val,
                                    },
                                ),
                            )
                        })
                        .zip(sides_stack.into_iter().rev()),
                    pl,
                );
                Ok(())
            }
        }
    }

    /// Perform assignment of values based on peeling data.
    ///
    /// This method might be called after a successful peeling procedure, or
    /// after a linear solver has been used to solve the remaining edges.
    ///
    /// `sig_vals_sides` is an iterator returning pairs of signature/value pairs
    /// and sides in reverse peeling order.
    fn assign(
        &self,
        shard_index: usize,
        mut data: ShardData<'_, W, D>,
        sigs_vals_sides: impl Iterator<Item = ((E::LocalSig, W), u8)>,
        pl: &mut impl ProgressLog,
    ) {
        if self.failed.load(Ordering::Relaxed) {
            return;
        }

        pl.start(format!(
            "Assigning values for shard {}/{}...",
            shard_index + 1,
            self.shard_edge.num_shards()
        ));

        for ((sig, val), side) in sigs_vals_sides {
            let edge = self.shard_edge.local_edge(sig);
            let side = side as usize;
            unsafe {
                let xor = match side {
                    0 => data.get_unchecked(edge[1]) ^ data.get_unchecked(edge[2]),
                    1 => data.get_unchecked(edge[0]) ^ data.get_unchecked(edge[2]),
                    2 => data.get_unchecked(edge[0]) ^ data.get_unchecked(edge[1]),
                    _ => core::hint::unreachable_unchecked(),
                };

                data.set_unchecked(edge[side], val ^ xor);
            }
        }
        pl.done();
    }
}

vigna / sux-rs / 15155344114

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