WIP(smt): impl simple subtree8 hashing and benchmarks for it
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4 changed files with 318 additions and 1 deletions
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@ -27,6 +27,10 @@ harness = false
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name = "smt"
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harness = false
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[[bench]]
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name = "smt-subtree"
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harness = false
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[[bench]]
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name = "store"
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harness = false
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137
benches/smt-subtree.rs
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137
benches/smt-subtree.rs
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@ -0,0 +1,137 @@
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use std::{fmt::Debug, hint, mem, time::Duration};
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use criterion::{criterion_group, criterion_main, BatchSize, BenchmarkId, Criterion};
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use miden_crypto::{
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hash::rpo::RpoDigest,
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merkle::{NodeIndex, Smt, SmtLeaf, SMT_DEPTH},
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Felt, Word, ONE,
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};
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use rand_utils::prng_array;
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use winter_utils::Randomizable;
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fn smt_subtree_even(c: &mut Criterion) {
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let mut seed = [0u8; 32];
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let mut group = c.benchmark_group("subtree8-even");
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for pair_count in (64..=256).step_by(64) {
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let bench_id = BenchmarkId::from_parameter(pair_count);
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group.bench_with_input(bench_id, &pair_count, |b, &pair_count| {
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b.iter_batched(
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|| {
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// Setup.
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let entries: Vec<(RpoDigest, Word)> = (0..pair_count)
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.map(|n| {
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// A single depth-8 subtree can have a maximum of 255 leaves.
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let leaf_index = (n / pair_count) * 255;
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let key = RpoDigest::new([
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generate_value(&mut seed),
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ONE,
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Felt::new(n),
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Felt::new(leaf_index),
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]);
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let value = generate_word(&mut seed);
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(key, value)
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})
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.collect();
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let mut leaves: Vec<_> = entries
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.iter()
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.map(|(key, value)| {
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let leaf = SmtLeaf::new_single(*key, *value);
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let col = NodeIndex::from(leaf.index()).value();
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let hash = leaf.hash();
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(col, hash)
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})
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.collect();
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leaves.sort();
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leaves
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},
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|leaves| {
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// Benchmarked function.
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let subtree =
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Smt::build_subtree(hint::black_box(leaves), hint::black_box(SMT_DEPTH));
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assert!(!subtree.is_empty());
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},
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BatchSize::SmallInput,
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);
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});
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}
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}
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fn smt_subtree_random(c: &mut Criterion) {
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let mut seed = [0u8; 32];
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let mut group = c.benchmark_group("subtree8-rand");
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for pair_count in (64..=256).step_by(64) {
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let bench_id = BenchmarkId::from_parameter(pair_count);
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group.bench_with_input(bench_id, &pair_count, |b, &pair_count| {
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b.iter_batched(
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|| {
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// Setup.
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let entries: Vec<(RpoDigest, Word)> = (0..pair_count)
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.map(|i| {
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let leaf_index: u8 = generate_value(&mut seed);
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let key = RpoDigest::new([
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ONE,
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ONE,
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Felt::new(i),
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Felt::new(leaf_index as u64),
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]);
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let value = generate_word(&mut seed);
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(key, value)
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})
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.collect();
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let mut leaves: Vec<_> = entries
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.iter()
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.map(|(key, value)| {
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let leaf = SmtLeaf::new_single(*key, *value);
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let col = NodeIndex::from(leaf.index()).value();
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let hash = leaf.hash();
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(col, hash)
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})
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.collect();
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leaves.sort();
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let before = leaves.len();
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leaves.dedup();
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let after = leaves.len();
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assert_eq!(before, after);
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leaves
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},
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|leaves| {
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let subtree =
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Smt::build_subtree(hint::black_box(leaves), hint::black_box(SMT_DEPTH));
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assert!(!subtree.is_empty());
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},
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BatchSize::SmallInput,
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);
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});
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}
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}
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criterion_group! {
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name = smt_subtree_group;
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config = Criterion::default()
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.measurement_time(Duration::from_secs(40))
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.sample_size(60)
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.configure_from_args();
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targets = smt_subtree_even, smt_subtree_random
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}
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criterion_main!(smt_subtree_group);
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// HELPER FUNCTIONS
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// --------------------------------------------------------------------------------------------
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fn generate_value<T: Copy + Debug + Randomizable>(seed: &mut [u8; 32]) -> T {
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mem::swap(seed, &mut prng_array(*seed));
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let value: [T; 1] = rand_utils::prng_array(*seed);
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value[0]
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}
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fn generate_word(seed: &mut [u8; 32]) -> Word {
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mem::swap(seed, &mut prng_array(*seed));
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let nums: [u64; 4] = prng_array(*seed);
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[Felt::new(nums[0]), Felt::new(nums[1]), Felt::new(nums[2]), Felt::new(nums[3])]
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}
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@ -249,6 +249,13 @@ impl Smt {
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None
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}
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}
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pub fn build_subtree(
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leaves: Vec<(u64, RpoDigest)>,
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bottom_depth: u8,
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) -> BTreeMap<NodeIndex, InnerNode> {
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<Self as SparseMerkleTree<SMT_DEPTH>>::build_subtree(leaves, bottom_depth)
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}
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}
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impl SparseMerkleTree<SMT_DEPTH> for Smt {
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@ -1,4 +1,7 @@
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use alloc::{collections::BTreeMap, vec::Vec};
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use core::mem;
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use num::Integer;
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use super::{EmptySubtreeRoots, InnerNodeInfo, MerkleError, MerklePath, NodeIndex};
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use crate::{
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@ -342,6 +345,108 @@ pub(crate) trait SparseMerkleTree<const DEPTH: u8> {
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///
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/// The length `path` is guaranteed to be equal to `DEPTH`
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fn path_and_leaf_to_opening(path: MerklePath, leaf: Self::Leaf) -> Self::Opening;
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/// Builds Merkle nodes from a bottom layer of tuples of horizontal indices and their hashes,
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/// sorted by their position.
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///
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/// The leaves are 'conceptual' leaves, simply being entities at the bottom of some subtree, not
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/// [`Self::Leaf`].
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///
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/// # Panics
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/// With debug assertions on, this function panics under invalid inputs: if `leaves` contains
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/// more entries than can fit in a depth-8 subtree (more than 256), if `bottom_depth` is
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/// lower in the tree than the specified maximum depth (`DEPTH`), or if `leaves` is not sorted.
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// FIXME: more complete docstring.
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#[cfg_attr(not(test), allow(dead_code))]
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fn build_subtree(
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mut leaves: Vec<(u64, RpoDigest)>,
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bottom_depth: u8,
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) -> BTreeMap<NodeIndex, InnerNode> {
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debug_assert!(bottom_depth <= DEPTH);
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debug_assert!(bottom_depth.is_multiple_of(&8));
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debug_assert!(leaves.len() <= usize::pow(2, 8));
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let subtree_root = bottom_depth - 8;
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let mut inner_nodes: BTreeMap<NodeIndex, InnerNode> = Default::default();
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let mut next_leaves: Vec<(u64, RpoDigest)> = Vec::with_capacity(leaves.len() / 2);
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for next_depth in (subtree_root..bottom_depth).rev() {
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debug_assert!(next_depth <= bottom_depth);
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// `next_depth` is the stuff we're making.
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// `current_depth` is the stuff we have.
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let current_depth = next_depth + 1;
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let mut iter = leaves.drain(..).map(SubtreeLeaf::from_tuple).peekable();
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while let Some(first) = iter.next() {
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// On non-continuous iterations, including the first iteration, `first_column` may
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// be a left or right node. On subsequent continuous iterations, we will always call
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// `iter.next()` twice.
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// On non-continuous iterations (including the very first iteration), this column
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// could be either on the left or the right. If the next iteration is not
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// discontinuous with our right node, then the next iteration's
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let is_right = first.col.is_odd();
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let (left, right) = if is_right {
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// Discontinuous iteration: we have no left node, so it must be empty.
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let left = SubtreeLeaf {
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col: first.col - 1,
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hash: *EmptySubtreeRoots::entry(DEPTH, current_depth),
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};
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let right = first;
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(left, right)
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} else {
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let left = first;
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let right_col = first.col + 1;
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let right = match iter.peek().copied() {
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Some(SubtreeLeaf { col, .. }) if col == right_col => {
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// Our inputs must be sorted.
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debug_assert!(left.col <= col);
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// The next leaf in the iterator is our sibling. Use it and consume it!
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iter.next().unwrap()
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},
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// Otherwise, the leaves don't contain our sibling, so our sibling must be
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// empty.
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_ => SubtreeLeaf {
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col: right_col,
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hash: *EmptySubtreeRoots::entry(DEPTH, current_depth),
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},
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};
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(left, right)
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};
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let index = NodeIndex::new_unchecked(current_depth, left.col).parent();
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let node = InnerNode { left: left.hash, right: right.hash };
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let hash = node.hash();
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let &equivalent_empty_hash = EmptySubtreeRoots::entry(DEPTH, next_depth);
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// If this hash is empty, then it doesn't become a new inner node, nor does it count
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// as a leaf for the next depth.
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if hash != equivalent_empty_hash {
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inner_nodes.insert(index, node);
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// FIXME: is it possible for this to end up not being sorted? I don't think so.
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next_leaves.push((index.value(), hash));
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}
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}
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// Stop borrowing `leaves`, so we can swap it.
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// The iterator is empty at this point anyway.
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drop(iter);
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// After each depth, consider the stuff we just made the new "leaves", and empty the
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// other collection.
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mem::swap(&mut leaves, &mut next_leaves);
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}
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inner_nodes
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}
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}
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// INNER NODE
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@ -349,7 +454,7 @@ pub(crate) trait SparseMerkleTree<const DEPTH: u8> {
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#[derive(Debug, Default, Clone, PartialEq, Eq)]
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#[cfg_attr(feature = "serde", derive(serde::Deserialize, serde::Serialize))]
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pub(crate) struct InnerNode {
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pub struct InnerNode {
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pub left: RpoDigest,
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pub right: RpoDigest,
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}
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@ -459,3 +564,67 @@ impl<const DEPTH: u8, K, V> MutationSet<DEPTH, K, V> {
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self.new_root
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}
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}
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// HELPERS
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// ================================================================================================
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#[derive(Debug, Copy, Clone, PartialEq, Eq, PartialOrd, Ord, Default)]
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struct SubtreeLeaf {
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col: u64,
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hash: RpoDigest,
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}
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impl SubtreeLeaf {
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const fn from_tuple((col, hash): (u64, RpoDigest)) -> Self {
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Self { col, hash }
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}
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}
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// TESTS
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// ================================================================================================
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#[cfg(test)]
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mod test {
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use alloc::vec::Vec;
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use super::SparseMerkleTree;
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use crate::{
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hash::rpo::RpoDigest,
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merkle::{Smt, SmtLeaf, SMT_DEPTH},
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Felt, Word, ONE,
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};
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#[test]
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fn test_build_subtree_from_leaves() {
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const PAIR_COUNT: u64 = u64::pow(2, 8);
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let entries: Vec<(RpoDigest, Word)> = (0..PAIR_COUNT)
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.map(|i| {
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let leaf_index = u64::MAX / (i + 1);
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let key = RpoDigest::new([ONE, ONE, Felt::new(i), Felt::new(leaf_index)]);
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let value = [ONE, ONE, ONE, Felt::new(i)];
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(key, value)
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})
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.collect();
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let control = Smt::with_entries(entries.clone()).unwrap();
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let leaves: Vec<(u64, RpoDigest)> = entries
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.iter()
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.map(|(key, value)| {
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let leaf = SmtLeaf::new_single(*key, *value);
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let col = leaf.index().index.value();
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let hash = leaf.hash();
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(col, hash)
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})
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.collect();
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let first_subtree = Smt::build_subtree(leaves, SMT_DEPTH);
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assert!(!first_subtree.is_empty());
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for (index, node) in first_subtree.into_iter() {
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let control = control.get_inner_node(index);
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assert_eq!(
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control, node,
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"subtree-computed node at index {index:?} does not match control",
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);
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}
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}
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}
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