// Copyright 2019. The Tari Project // // Redistribution and use in source and binary forms, with or without modification, are permitted provided that the // following conditions are met: // // 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following // disclaimer. // // 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the // following disclaimer in the documentation and/or other materials provided with the distribution. // // 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote // products derived from this software without specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, // INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE // DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR // SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, // WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE // USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. use blake2::Blake2b; use criterion::{criterion_group, criterion_main, BatchSize, Criterion}; use digest::{consts::U32, Digest}; use tari_crypto::{hash_domain, hashing::DomainSeparatedHasher}; use tari_mmr::{Hash, MerkleMountainRange}; hash_domain!(MmrBenchTestHashDomain, "com.tari.base_layer.mmr.benches", 1); pub type MmrTestHasherBlake256 = DomainSeparatedHasher, MmrBenchTestHashDomain>; pub type TestMmr = MerkleMountainRange>; fn get_hashes(n: usize) -> Vec> { (0..n) .map(|i| Blake2b::::digest(i.to_le_bytes()).to_vec()) .collect() } fn build_mmr(c: &mut Criterion) { let sizes = [100, 1_000, 10_000, 100_000]; for size in sizes { c.bench_function(&format!("MMR: {size} hashes"), move |b| { let hashes = get_hashes(size); b.iter_batched( || { // Set up a fresh tree for this iteration (TestMmr::new(Vec::default()), hashes.clone()) }, |(mut mmr, hashes)| { hashes.into_iter().for_each(|hash| { mmr.push(hash).unwrap(); }); }, BatchSize::SmallInput, ); }); } } criterion_group!(mmr, build_mmr); criterion_main!(mmr);