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Generic Normalize impl for arithmetic and npos-elections (#6374)
* add normalize * better api for normalize * Some grumbles * Update primitives/arithmetic/src/lib.rs Co-authored-by: Guillaume Thiolliere <gui.thiolliere@gmail.com> * More great review grumbles * Way better doc for everything. * Some improvement * Update primitives/arithmetic/src/lib.rs Co-authored-by: Bernhard Schuster <bernhard@ahoi.io> Co-authored-by: Guillaume Thiolliere <gui.thiolliere@gmail.com> Co-authored-by: Bernhard Schuster <bernhard@ahoi.io>
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@@ -24,6 +24,10 @@ num-traits = "0.2"
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name = "biguint"
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path = "src/biguint.rs"
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[[bin]]
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name = "normalize"
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path = "src/normalize.rs"
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[[bin]]
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name = "per_thing_rational"
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path = "src/per_thing_rational.rs"
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@@ -0,0 +1,62 @@
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// This file is part of Substrate.
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// Copyright (C) 2020 Parity Technologies (UK) Ltd.
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// SPDX-License-Identifier: Apache-2.0
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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//! # Running
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//! Running this fuzzer can be done with `cargo hfuzz run normalize`. `honggfuzz` CLI options can
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//! be used by setting `HFUZZ_RUN_ARGS`, such as `-n 4` to use 4 threads.
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//!
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//! # Debugging a panic
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//! Once a panic is found, it can be debugged with
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//! `cargo hfuzz run-debug normalize hfuzz_workspace/normalize/*.fuzz`.
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use honggfuzz::fuzz;
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use sp_arithmetic::Normalizable;
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use std::convert::TryInto;
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fn main() {
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let sum_limit = u32::max_value() as u128;
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let len_limit: usize = u32::max_value().try_into().unwrap();
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loop {
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fuzz!(|data: (Vec<u32>, u32)| {
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let (data, norm) = data;
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if data.len() == 0 { return; }
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let pre_sum: u128 = data.iter().map(|x| *x as u128).sum();
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let normalized = data.normalize(norm);
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// error cases.
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if pre_sum > sum_limit || data.len() > len_limit {
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assert!(normalized.is_err())
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} else {
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if let Ok(normalized) = normalized {
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// if sum goes beyond u128, panic.
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let sum: u128 = normalized.iter().map(|x| *x as u128).sum();
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// if this function returns Ok(), then it will ALWAYS be accurate.
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assert_eq!(
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sum,
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norm as u128,
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"sums don't match {:?}, {}",
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normalized,
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norm,
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);
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}
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}
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})
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}
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}
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@@ -114,7 +114,7 @@ fn main() {
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}
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}
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fn assert_per_thing_equal_error<T: PerThing>(a: T, b: T, err: u128) {
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fn assert_per_thing_equal_error<P: PerThing>(a: P, b: P, err: u128) {
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let a_abs = a.deconstruct().saturated_into::<u128>();
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let b_abs = b.deconstruct().saturated_into::<u128>();
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let diff = a_abs.max(b_abs) - a_abs.min(b_abs);
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