Files
pezkuwi-subxt/substrate/primitives/arithmetic/fuzzer/src/normalize.rs
T
Vivek Pandya bc53b9a03a Remove years from copyright notes. (#13415)
* Change copyright year to 2023 from 2022

* Fix incorrect update of copyright year

* Remove years from copy right header

* Fix remaining files

* Fix typo in a header and remove update-copyright.sh
2023-02-21 18:46:41 +00:00

59 lines
1.9 KiB
Rust

// This file is part of Substrate.
// Copyright (C) Parity Technologies (UK) Ltd.
// SPDX-License-Identifier: Apache-2.0
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
//! # Running
//! Running this fuzzer can be done with `cargo hfuzz run normalize`. `honggfuzz` CLI options can
//! be used by setting `HFUZZ_RUN_ARGS`, such as `-n 4` to use 4 threads.
//!
//! # Debugging a panic
//! Once a panic is found, it can be debugged with
//! `cargo hfuzz run-debug normalize hfuzz_workspace/normalize/*.fuzz`.
use honggfuzz::fuzz;
use sp_arithmetic::Normalizable;
type Ty = u64;
fn main() {
let sum_limit = Ty::max_value() as u128;
let len_limit: usize = Ty::max_value().try_into().unwrap();
loop {
fuzz!(|data: (Vec<Ty>, Ty)| {
let (data, norm) = data;
if data.is_empty() {
return
}
let pre_sum: u128 = data.iter().map(|x| *x as u128).sum();
let normalized = data.normalize(norm);
// error cases.
if pre_sum > sum_limit || data.len() > len_limit {
assert!(normalized.is_err())
} else if let Ok(normalized) = normalized {
// if sum goes beyond u128, panic.
let sum: u128 = normalized.iter().map(|x| *x as u128).sum();
// if this function returns Ok(), then it will ALWAYS be accurate.
assert_eq!(sum, norm as u128, "sums don't match {:?}, {}", normalized, norm);
} else {
panic!("Should have returned Ok for input = {:?}, target = {:?}", data, norm);
}
})
}
}