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Trie integrated benchmark (#5616)
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// Copyright 2020 Parity Technologies (UK) Ltd.
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// This file is part of Substrate.
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// Substrate is free software: you can redistribute it and/or modify
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// it under the terms of the GNU General Public License as published by
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// the Free Software Foundation, either version 3 of the License, or
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// (at your option) any later version.
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// Substrate is distributed in the hope that it will be useful,
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// but WITHOUT ANY WARRANTY; without even the implied warranty of
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// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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// GNU General Public License for more details.
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// You should have received a copy of the GNU General Public License
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// along with Substrate. If not, see <http://www.gnu.org/licenses/>.
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//! Trie benchmark (integrated).
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use std::{borrow::Cow, sync::Arc};
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use kvdb::KeyValueDB;
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use lazy_static::lazy_static;
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use rand::Rng;
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use hash_db::Prefix;
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use sp_state_machine::Backend as _;
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use node_primitives::Hash;
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use crate::{
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core::{self, Mode, Path},
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generator::generate_trie,
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tempdb::TempDatabase,
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};
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pub const SAMPLE_SIZE: usize = 100;
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pub type KeyValues = Vec<(Vec<u8>, Vec<u8>)>;
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#[derive(Clone, Copy, Debug, derive_more::Display)]
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pub enum DatabaseSize {
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#[display(fmt = "empty")]
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Empty,
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#[display(fmt = "smallest")]
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Smallest,
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#[display(fmt = "small")]
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Small,
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#[display(fmt = "medium")]
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Medium,
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#[display(fmt = "large")]
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Large,
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#[display(fmt = "largest")]
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Largest,
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}
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lazy_static! {
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static ref KUSAMA_STATE_DISTRIBUTION: SizePool =
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SizePool::from_histogram(crate::state_sizes::KUSAMA_STATE_DISTRIBUTION);
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}
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impl DatabaseSize {
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/// Should be multiple of SAMPLE_SIZE!
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fn keys(&self) -> usize {
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let val = match *self {
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Self::Empty => 200, // still need some keys to query
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Self::Smallest => 1_000,
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Self::Small => 10_000,
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Self::Medium => 100_000,
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Self::Large => 200_000,
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Self::Largest => 1_000_000,
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};
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assert_eq!(val % SAMPLE_SIZE, 0);
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val
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}
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}
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pub struct TrieBenchmarkDescription {
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pub database_size: DatabaseSize,
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}
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pub struct TrieBenchmark {
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database: TempDatabase,
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root: Hash,
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warmup_keys: KeyValues,
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query_keys: KeyValues,
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}
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impl core::BenchmarkDescription for TrieBenchmarkDescription {
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fn path(&self) -> Path {
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let mut path = Path::new(&["trie"]);
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path.push(&format!("{}", self.database_size));
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path
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}
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fn setup(self: Box<Self>) -> Box<dyn core::Benchmark> {
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let mut database = TempDatabase::new();
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// TODO: make seedable
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let mut rng = rand::thread_rng();
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let warmup_prefix = KUSAMA_STATE_DISTRIBUTION.key(&mut rng);
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let mut key_values = KeyValues::new();
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let mut warmup_keys = KeyValues::new();
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let mut query_keys = KeyValues::new();
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let every_x_key = self.database_size.keys() / SAMPLE_SIZE;
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for idx in 0..self.database_size.keys() {
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let kv = (
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KUSAMA_STATE_DISTRIBUTION.key(&mut rng).to_vec(),
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KUSAMA_STATE_DISTRIBUTION.value(&mut rng),
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);
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if idx % every_x_key == 0 {
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// warmup keys go to separate tree with high prob
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let mut actual_warmup_key = warmup_prefix.clone();
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actual_warmup_key[16..].copy_from_slice(&kv.0[16..]);
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warmup_keys.push((actual_warmup_key.clone(), kv.1.clone()));
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key_values.push((actual_warmup_key.clone(), kv.1.clone()));
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} else if idx % every_x_key == 1 {
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query_keys.push(kv.clone());
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}
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key_values.push(kv)
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}
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assert_eq!(warmup_keys.len(), SAMPLE_SIZE);
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assert_eq!(query_keys.len(), SAMPLE_SIZE);
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let root = generate_trie(
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database.open(),
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key_values,
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);
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Box::new(TrieBenchmark {
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database,
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root,
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warmup_keys,
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query_keys,
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})
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}
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fn name(&self) -> Cow<'static, str> {
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fn pretty_print(v: usize) -> String {
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let mut print = String::new();
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for (idx, val) in v.to_string().chars().rev().enumerate() {
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if idx != 0 && idx % 3 == 0 {
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print.insert(0, ',');
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}
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print.insert(0, val);
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}
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print
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}
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format!(
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"Trie benchmark({} database ({} keys))",
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self.database_size,
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pretty_print(self.database_size.keys()),
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).into()
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}
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}
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struct Storage(Arc<dyn KeyValueDB>);
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impl sp_state_machine::Storage<sp_core::Blake2Hasher> for Storage {
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fn get(&self, key: &Hash, prefix: Prefix) -> Result<Option<Vec<u8>>, String> {
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let key = sp_trie::prefixed_key::<sp_core::Blake2Hasher>(key, prefix);
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self.0.get(0, &key).map_err(|e| format!("Database backend error: {:?}", e))
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}
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}
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impl core::Benchmark for TrieBenchmark {
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fn run(&mut self, mode: Mode) -> std::time::Duration {
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let mut db = self.database.clone();
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let storage: Arc<dyn sp_state_machine::Storage<sp_core::Blake2Hasher>> =
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Arc::new(Storage(db.open()));
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let trie_backend = sp_state_machine::TrieBackend::new(
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storage,
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self.root,
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);
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for (warmup_key, warmup_value) in self.warmup_keys.iter() {
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let value = trie_backend.storage(&warmup_key[..])
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.expect("Failed to get key: db error")
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.expect("Warmup key should exist");
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// sanity for warmup keys
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assert_eq!(&value, warmup_value);
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}
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if mode == Mode::Profile {
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std::thread::park_timeout(std::time::Duration::from_secs(3));
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}
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let started = std::time::Instant::now();
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for (key, _) in self.query_keys.iter() {
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let _ = trie_backend.storage(&key[..]);
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}
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let elapsed = started.elapsed();
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if mode == Mode::Profile {
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std::thread::park_timeout(std::time::Duration::from_secs(1));
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}
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elapsed / (SAMPLE_SIZE as u32)
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}
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}
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struct SizePool {
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distribution: std::collections::BTreeMap<u32, u32>,
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total: u32,
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}
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impl SizePool {
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fn from_histogram(h: &[(u32, u32)]) -> SizePool {
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let mut distribution = std::collections::BTreeMap::default();
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let mut total = 0;
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for (size, count) in h {
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total += count;
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distribution.insert(total, *size);
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}
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SizePool { distribution, total }
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}
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fn value<R: Rng>(&self, rng: &mut R) -> Vec<u8> {
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let sr = (rng.next_u64() % self.total as u64) as u32;
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let mut range = self.distribution.range((std::ops::Bound::Included(sr), std::ops::Bound::Unbounded));
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let size = *range.next().unwrap().1 as usize;
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let mut v = Vec::new();
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v.resize(size, 0);
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rng.fill_bytes(&mut v);
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v
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}
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fn key<R: Rng>(&self, rng: &mut R) -> Vec<u8> {
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let mut key = [0u8; 32];
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rng.fill_bytes(&mut key[..]);
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key.to_vec()
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}
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}
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