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mod.rs
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mod buffer;
mod config;
pub mod ec;
mod logger;
mod options;
#[cfg(any(test, feature = "programs"))]
mod programs;
mod prove;
pub mod prove_distributed;
mod serde;
mod tracer;
pub use buffer::*;
pub use config::*;
pub use logger::*;
pub use options::*;
pub use prove::*;
pub use serde::*;
pub use tracer::*;
#[cfg(any(test, feature = "programs"))]
pub use programs::*;
use crate::{memory::MemoryCols, operations::field::params::Limbs};
use generic_array::ArrayLength;
use p3_maybe_rayon::prelude::{ParallelBridge, ParallelIterator};
pub const fn indices_arr<const N: usize>() -> [usize; N] {
let mut indices_arr = [0; N];
let mut i = 0;
while i < N {
indices_arr[i] = i;
i += 1;
}
indices_arr
}
pub fn pad_to_power_of_two<const N: usize, T: Clone + Default>(values: &mut Vec<T>) {
debug_assert!(values.len() % N == 0);
let mut n_real_rows = values.len() / N;
if n_real_rows < 16 {
n_real_rows = 16;
}
values.resize(n_real_rows.next_power_of_two() * N, T::default());
}
pub fn limbs_from_prev_access<T: Copy, N: ArrayLength, M: MemoryCols<T>>(
cols: &[M],
) -> Limbs<T, N> {
let vec = cols
.iter()
.flat_map(|access| access.prev_value().0)
.collect::<Vec<T>>();
let sized = vec
.try_into()
.unwrap_or_else(|_| panic!("failed to convert to limbs"));
Limbs(sized)
}
pub fn limbs_from_access<T: Copy, N: ArrayLength, M: MemoryCols<T>>(cols: &[M]) -> Limbs<T, N> {
let vec = cols
.iter()
.flat_map(|access| access.value().0)
.collect::<Vec<T>>();
let sized = vec
.try_into()
.unwrap_or_else(|_| panic!("failed to convert to limbs"));
Limbs(sized)
}
pub fn pad_rows<T: Clone>(rows: &mut Vec<T>, row_fn: impl Fn() -> T) {
let nb_rows = rows.len();
let mut padded_nb_rows = nb_rows.next_power_of_two();
if padded_nb_rows < 16 {
padded_nb_rows = 16;
}
if padded_nb_rows == nb_rows {
return;
}
let dummy_row = row_fn();
rows.resize(padded_nb_rows, dummy_row);
}
pub fn pad_rows_fixed<R: Clone>(
rows: &mut Vec<R>,
row_fn: impl Fn() -> R,
size_log2: Option<usize>,
) {
let nb_rows = rows.len();
let dummy_row = row_fn();
rows.resize(next_power_of_two(nb_rows, size_log2), dummy_row);
}
/// Returns the next power of two that is >= `n` and >= 16. If `fixed_power` is set, it will return
/// `2^fixed_power` after checking that `n <= 2^fixed_power`.
pub fn next_power_of_two(n: usize, fixed_power: Option<usize>) -> usize {
match fixed_power {
Some(power) => {
let padded_nb_rows = 1 << power;
if n * 2 < padded_nb_rows {
tracing::warn!(
"fixed log2 rows can be potentially reduced: got {}, expected {}",
n,
padded_nb_rows
);
}
if n > padded_nb_rows {
panic!(
"fixed log2 rows is too small: got {}, expected {}",
n, padded_nb_rows
);
}
padded_nb_rows
}
None => {
let mut padded_nb_rows = n.next_power_of_two();
if padded_nb_rows < 16 {
padded_nb_rows = 16;
}
padded_nb_rows
}
}
}
/// Converts a slice of words to a slice of bytes in little endian.
pub fn words_to_bytes_le<const B: usize>(words: &[u32]) -> [u8; B] {
debug_assert_eq!(words.len() * 4, B);
words
.iter()
.flat_map(|word| word.to_le_bytes().to_vec())
.collect::<Vec<_>>()
.try_into()
.unwrap()
}
/// Converts a slice of words to a byte vector in little endian.
pub fn words_to_bytes_le_vec(words: &[u32]) -> Vec<u8> {
words
.iter()
.flat_map(|word| word.to_le_bytes().to_vec())
.collect::<Vec<_>>()
}
/// Converts a byte array in little endian to a slice of words.
pub fn bytes_to_words_le<const W: usize>(bytes: &[u8]) -> [u32; W] {
debug_assert_eq!(bytes.len(), W * 4);
bytes
.chunks_exact(4)
.map(|chunk| u32::from_le_bytes(chunk.try_into().unwrap()))
.collect::<Vec<_>>()
.try_into()
.unwrap()
}
/// Converts a byte array in little endian to a vector of words.
pub fn bytes_to_words_le_vec(bytes: &[u8]) -> Vec<u32> {
bytes
.chunks_exact(4)
.map(|chunk| u32::from_le_bytes(chunk.try_into().unwrap()))
.collect::<Vec<_>>()
}
/// Converts a num to a string with commas every 3 digits.
pub fn num_to_comma_separated<T: ToString>(value: T) -> String {
value
.to_string()
.chars()
.rev()
.collect::<Vec<_>>()
.chunks(3)
.map(|chunk| chunk.iter().collect::<String>())
.collect::<Vec<_>>()
.join(",")
.chars()
.rev()
.collect()
}
pub fn chunk_vec<T>(mut vec: Vec<T>, chunk_size: usize) -> Vec<Vec<T>> {
let mut result = Vec::new();
while !vec.is_empty() {
let current_chunk_size = std::cmp::min(chunk_size, vec.len());
let current_chunk = vec.drain(..current_chunk_size).collect::<Vec<T>>();
result.push(current_chunk);
}
result
}
#[inline]
pub fn log2_strict_usize(n: usize) -> usize {
let res = n.trailing_zeros();
assert_eq!(n.wrapping_shr(res), 1, "Not a power of two: {n}");
res as usize
}
pub fn par_for_each_row<P, F>(vec: &mut [F], num_elements_per_event: usize, processor: P)
where
F: Send,
P: Fn(usize, &mut [F]) + Send + Sync,
{
// Split the vector into `num_cpus` chunks, but at least `num_cpus` rows per chunk.
assert!(vec.len() % num_elements_per_event == 0);
let len = vec.len() / num_elements_per_event;
let cpus = num_cpus::get();
let ceil_div = (len + cpus - 1) / cpus;
let chunk_size = std::cmp::max(ceil_div, cpus);
vec.chunks_mut(chunk_size * num_elements_per_event)
.enumerate()
.par_bridge()
.for_each(|(i, chunk)| {
chunk
.chunks_mut(num_elements_per_event)
.enumerate()
.for_each(|(j, row)| {
assert!(row.len() == num_elements_per_event);
processor(i * chunk_size + j, row);
});
});
}