Merge pull request #13 from nervosnetwork/release-v0.3.2

Release v0.3.2

Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "ckb-merkle-mountain-range"
-version = "0.3.1"
+version = "0.3.2"
 authors = ["Nervos Core Dev <dev@nervos.org>"]
 edition = "2018"
 license = "MIT"

README.md

@@ -38,7 +38,7 @@ For example, we insert a leaf to the example MMR:
 3. insert parent node to position `20`.
 4. the node `20` also has a left sibling `17`, calculate parent node: `merge(mmr[17], mmr[20])`.
 5. insert new node to next position `21`.
-6. the node `20` have no left sibling, complete the insertion.
+6. the node `21` have no left sibling, complete the insertion.
 
 Example MMR after insertion of a new leaf:
 

benches/mmr_benchmark.rs

@@ -1,7 +1,7 @@
 #[macro_use]
 extern crate criterion;
 
-use criterion::Criterion;
+use criterion::{BenchmarkId, Criterion};
 
 use bytes::Bytes;
 use ckb_merkle_mountain_range::{util::MemStore, Error, MMRStore, Merge, Result, MMR};
@@ -53,13 +53,15 @@ fn prepare_mmr(count: u32) -> (u64, MemStore<NumberHash>, Vec<u64>) {
 }
 
 fn bench(c: &mut Criterion) {
-    c.bench_function_over_inputs(
-        "MMR insert",
-        |b, &&size| {
-            b.iter(|| prepare_mmr(size));
-        },
-        &[10_000, 100_000, 100_0000],
-    );
+    {
+        let mut group = c.benchmark_group("MMR insertion");
+        let inputs = [10_000, 100_000, 100_0000];
+        for input in inputs.iter() {
+            group.bench_with_input(BenchmarkId::new("times", input), &input, |b, &&size| {
+                b.iter(|| prepare_mmr(size));
+            });
+        }
+    }
 
     c.bench_function("MMR gen proof", |b| {
         let (mmr_size, store, positions) = prepare_mmr(100_0000);

src/lib.rs

@@ -1,7 +1,7 @@
 #![cfg_attr(not(feature = "std"), no_std)]
 
 mod error;
-mod helper;
+pub mod helper;
 mod merge;
 mod mmr;
 mod mmr_store;

src/mmr.rs

@@ -14,6 +14,7 @@ use crate::{Error, Merge, Result};
 use core::fmt::Debug;
 use core::marker::PhantomData;
 
+#[allow(clippy::upper_case_acronyms)]
 pub struct MMR<T, M, S: MMRStore<T>> {
     mmr_size: u64,
     batch: MMRBatch<T, S>,