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Remove old benches (#465)

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* Remove cached_tree_hash benches

* Remove state_processing benches
This commit is contained in:
Paul Hauner
2019-07-30 17:19:03 +10:00
committed by GitHub
parent eb669ab40f
commit 81a089aa8b
7 changed files with 0 additions and 894 deletions
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5
eth2/utils/cached_tree_hash/Cargo.toml
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@@ -4,12 +4,7 @@ version = "0.1.0"
authors = ["Paul Hauner <paul@paulhauner.com>"]
edition = "2018"
[[bench]]
name = "benches"
harness = false
[dev-dependencies]
criterion = "0.2"
tree_hash_derive = { path = "../tree_hash_derive" }
[dependencies]

73
eth2/utils/cached_tree_hash/benches/benches.rs
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@@ -1,73 +0,0 @@
#[macro_use]
extern crate criterion;
use cached_tree_hash::TreeHashCache;
use criterion::black_box;
use criterion::{Benchmark, Criterion};
use ethereum_types::H256 as Hash256;
use hashing::hash;
use tree_hash::TreeHash;
fn criterion_benchmark(c: &mut Criterion) {
let n = 1024;
let source_vec: Vec<Hash256> = (0..n).map(|_| Hash256::random()).collect();
let mut source_modified_vec = source_vec.clone();
source_modified_vec[n - 1] = Hash256::random();
let modified_vec = source_modified_vec.clone();
c.bench(
&format!("vec_of_{}_hashes", n),
Benchmark::new("standard", move |b| {
b.iter_with_setup(
|| modified_vec.clone(),
|modified_vec| black_box(modified_vec.tree_hash_root()),
)
})
.sample_size(100),
);
let modified_vec = source_modified_vec.clone();
c.bench(
&format!("vec_of_{}_hashes", n),
Benchmark::new("build_cache", move |b| {
b.iter_with_setup(
|| modified_vec.clone(),
|vec| black_box(TreeHashCache::new(&vec, 0)),
)
})
.sample_size(100),
);
let vec = source_vec.clone();
let modified_vec = source_modified_vec.clone();
c.bench(
&format!("vec_of_{}_hashes", n),
Benchmark::new("cache_update", move |b| {
b.iter_with_setup(
|| {
let cache = TreeHashCache::new(&vec, 0).unwrap();
(cache, modified_vec.clone())
},
|(mut cache, modified_vec)| black_box(cache.update(&modified_vec)),
)
})
.sample_size(100),
);
c.bench(
&format!("{}_hashes", n),
Benchmark::new("hash_64_bytes", move |b| {
b.iter(|| {
for _ in 0..n {
let _digest = hash(&[42; 64]);
}
})
})
.sample_size(100),
);
}
criterion_group!(benches, criterion_benchmark);
criterion_main!(benches);