Files
zerokit/utils/benches/merkle_tree_benchmark.rs
Vinh Trịnh 0ebeea50fd feat(rln): extend error handling for rln module (#358)
Changes:
- Unified error types (`PoseidonError`, `HashError`, etc.) across
hashing, keygen, witness calculation, and serialization for consistent
and descriptive error handling.
- Refactored tests and examples to use `unwrap()` where safe, and
limited `expect()` in library code to non-panicking cases with clear
messaging.
- Improved witness and proof generation by removing panicking code paths
and enforcing proper error propagation.
- Cleaned up outdated imports, removed unused operations in `graph.rs`,
and updated public API documentation.
- Updated C, Nim, and WASM FFI bindings with more robust serialization
and clearer error log messages.
- Added keywords to package.json and update dependencies in
Makefile.toml and Nightly CI.
2025-12-17 19:27:07 +07:00

207 lines
5.8 KiB
Rust

use std::{fmt::Display, str::FromStr, sync::LazyLock};
use criterion::{criterion_group, criterion_main, Criterion};
use tiny_keccak::{Hasher as _, Keccak};
use zerokit_utils::{
error::HashError,
merkle_tree::{
FullMerkleConfig, FullMerkleTree, Hasher, OptimalMerkleConfig, OptimalMerkleTree,
ZerokitMerkleTree,
},
};
#[derive(Clone, Copy, Eq, PartialEq)]
struct Keccak256;
#[derive(Clone, Copy, Eq, PartialEq, Debug, Default)]
struct TestFr([u8; 32]);
impl Hasher for Keccak256 {
type Fr = TestFr;
type Error = HashError;
fn default_leaf() -> Self::Fr {
TestFr([0; 32])
}
fn hash(inputs: &[Self::Fr]) -> Result<Self::Fr, HashError> {
let mut output = [0; 32];
let mut hasher = Keccak::v256();
for element in inputs {
hasher.update(element.0.as_slice());
}
hasher.finalize(&mut output);
Ok(TestFr(output))
}
}
impl Display for TestFr {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
write!(f, "{}", String::from_utf8_lossy(self.0.as_slice()))
}
}
impl FromStr for TestFr {
type Err = std::string::FromUtf8Error;
fn from_str(s: &str) -> Result<Self, Self::Err> {
Ok(TestFr(s.as_bytes().try_into().unwrap()))
}
}
static LEAVES: LazyLock<Vec<TestFr>> = LazyLock::new(|| {
let mut leaves = Vec::with_capacity(1 << 20);
for i in 0..(1 << 20) {
let mut bytes = [0u8; 32];
bytes[28..].copy_from_slice(&(i as u32).to_be_bytes());
leaves.push(TestFr(bytes));
}
leaves
});
static INDICES: LazyLock<Vec<usize>> = LazyLock::new(|| (0..(1 << 20)).collect());
const NOF_LEAVES: usize = 8192;
pub fn optimal_merkle_tree_benchmark(c: &mut Criterion) {
let mut tree =
OptimalMerkleTree::<Keccak256>::new(20, TestFr([0; 32]), OptimalMerkleConfig::default())
.unwrap();
for i in 0..NOF_LEAVES {
tree.set(i, LEAVES[i % LEAVES.len()]).unwrap();
}
c.bench_function("OptimalMerkleTree::set", |b| {
let mut index = NOF_LEAVES;
b.iter(|| {
tree.set(index % (1 << 20), LEAVES[index % LEAVES.len()])
.unwrap();
index = (index + 1) % (1 << 20);
})
});
c.bench_function("OptimalMerkleTree::delete", |b| {
let mut index = 0;
b.iter(|| {
tree.delete(index % NOF_LEAVES).unwrap();
tree.set(index % NOF_LEAVES, LEAVES[index % LEAVES.len()])
.unwrap();
index = (index + 1) % NOF_LEAVES;
})
});
c.bench_function("OptimalMerkleTree::override_range", |b| {
let mut offset = 0;
b.iter(|| {
let range = offset..offset + NOF_LEAVES;
tree.override_range(
offset,
LEAVES[range.clone()].iter().cloned(),
INDICES[range.clone()].iter().cloned(),
)
.unwrap();
offset = (offset + NOF_LEAVES) % (1 << 20);
})
});
c.bench_function("OptimalMerkleTree::get", |b| {
let mut index = 0;
b.iter(|| {
tree.get(index % NOF_LEAVES).unwrap();
index = (index + 1) % NOF_LEAVES;
})
});
c.bench_function("OptimalMerkleTree::get_subtree_root", |b| {
let mut level = 1;
let mut index = 0;
b.iter(|| {
tree.get_subtree_root(level % 20, index % (1 << (20 - (level % 20))))
.unwrap();
index = (index + 1) % (1 << (20 - (level % 20)));
level = 1 + (level % 20);
})
});
c.bench_function("OptimalMerkleTree::get_empty_leaves_indices", |b| {
b.iter(|| {
tree.get_empty_leaves_indices();
})
});
}
pub fn full_merkle_tree_benchmark(c: &mut Criterion) {
let mut tree =
FullMerkleTree::<Keccak256>::new(20, TestFr([0; 32]), FullMerkleConfig::default()).unwrap();
for i in 0..NOF_LEAVES {
tree.set(i, LEAVES[i % LEAVES.len()]).unwrap();
}
c.bench_function("FullMerkleTree::set", |b| {
let mut index = NOF_LEAVES;
b.iter(|| {
tree.set(index % (1 << 20), LEAVES[index % LEAVES.len()])
.unwrap();
index = (index + 1) % (1 << 20);
})
});
c.bench_function("FullMerkleTree::delete", |b| {
let mut index = 0;
b.iter(|| {
tree.delete(index % NOF_LEAVES).unwrap();
tree.set(index % NOF_LEAVES, LEAVES[index % LEAVES.len()])
.unwrap();
index = (index + 1) % NOF_LEAVES;
})
});
c.bench_function("FullMerkleTree::override_range", |b| {
let mut offset = 0;
b.iter(|| {
let range = offset..offset + NOF_LEAVES;
tree.override_range(
offset,
LEAVES[range.clone()].iter().cloned(),
INDICES[range.clone()].iter().cloned(),
)
.unwrap();
offset = (offset + NOF_LEAVES) % (1 << 20);
})
});
c.bench_function("FullMerkleTree::get", |b| {
let mut index = 0;
b.iter(|| {
tree.get(index % NOF_LEAVES).unwrap();
index = (index + 1) % NOF_LEAVES;
})
});
c.bench_function("FullMerkleTree::get_subtree_root", |b| {
let mut level = 1;
let mut index = 0;
b.iter(|| {
tree.get_subtree_root(level % 20, index % (1 << (20 - (level % 20))))
.unwrap();
index = (index + 1) % (1 << (20 - (level % 20)));
level = 1 + (level % 20);
})
});
c.bench_function("FullMerkleTree::get_empty_leaves_indices", |b| {
b.iter(|| {
tree.get_empty_leaves_indices();
})
});
}
criterion_group!(
benches,
optimal_merkle_tree_benchmark,
full_merkle_tree_benchmark
);
criterion_main!(benches);