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https://github.com/pezkuwichain/pezkuwi-subxt.git
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8a8b4f99c3
* Rename and move sp-phragmen * More renames for equalise * Update main module doc * Fix line width * Line width
219 lines
7.4 KiB
Rust
219 lines
7.4 KiB
Rust
// Copyright 2019-2020 Parity Technologies
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//
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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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//! Benchmarks of the phragmen election algorithm.
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//! Note that execution times will not be accurate in an absolute scale, since
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//! - Everything is executed in the context of `TestExternalities`
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//! - Everything is executed in native environment.
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#![cfg(feature = "bench")]
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#![feature(test)]
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extern crate test;
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use test::Bencher;
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use rand::{self, Rng};
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use sp_npos_elections::{ElectionResult, VoteWeight};
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use std::collections::BTreeMap;
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use sp_runtime::{Perbill, PerThing, traits::Zero};
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use sp_npos_elections::{
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balance_solution, assignment_ratio_to_staked, build_support_map, to_without_backing, VoteWeight,
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ExtendedBalance, Assignment, StakedAssignment, IdentifierT, assignment_ratio_to_staked,
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seq_phragmen,
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};
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// default params. Each will be scaled by the benchmarks individually.
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const VALIDATORS: u64 = 100;
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const NOMINATORS: u64 = 1_000;
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const EDGES: u64 = 2;
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const TO_ELECT: usize = 10;
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const STAKE: VoteWeight = 1000;
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const PREFIX: AccountId = 1000_000;
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type AccountId = u64;
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mod bench_closure_and_slice {
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use super::*;
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fn random_assignment() -> Assignment<u32, Perbill> {
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let mut rng = rand::thread_rng();
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let who = rng.next_u32();
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let distribution = (0..5)
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.map(|x| (x + rng.next_u32(), Perbill::from_percent(rng.next_u32() % 100)))
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.collect::<Vec<_>>();
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Assignment { who, distribution }
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}
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/// Converts a vector of ratio assignments into ones with absolute budget value.
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pub fn assignment_ratio_to_staked_slice<A: IdentifierT, T: PerThing>(
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ratio: Vec<Assignment<A, T>>,
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stakes: &[VoteWeight],
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) -> Vec<StakedAssignment<A>>
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where
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T: sp_std::ops::Mul<ExtendedBalance, Output = ExtendedBalance>,
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ExtendedBalance: From<<T as PerThing>::Inner>,
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{
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ratio
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.into_iter()
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.zip(stakes.into_iter().map(|x| *x as ExtendedBalance))
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.map(|(a, stake)| {
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a.into_staked(stake.into(), true)
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})
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.collect()
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}
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#[bench]
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fn closure(b: &mut Bencher) {
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let assignments = (0..1000).map(|_| random_assignment()).collect::<Vec<Assignment<_ ,_>>>();
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let stake_of = |x: &u32| -> VoteWeight { (x * 2 + 100).into() };
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// each have one clone of assignments
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b.iter(|| assignment_ratio_to_staked(assignments.clone(), stake_of));
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}
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#[bench]
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fn slice(b: &mut Bencher) {
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let assignments = (0..1000).map(|_| random_assignment()).collect::<Vec<Assignment<_ ,_>>>();
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let stake_of = |x: &u32| -> VoteWeight { (x * 2 + 100).into() };
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b.iter(|| {
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let local = assignments.clone();
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let stakes = local.iter().map(|x| stake_of(&x.who)).collect::<Vec<_>>();
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assignment_ratio_to_staked_slice(local, stakes.as_ref());
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});
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}
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}
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fn do_phragmen(
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b: &mut Bencher,
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num_validators: u64,
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num_nominators: u64,
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to_elect: usize,
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edge_per_voter: u64,
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eq_iters: usize,
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eq_tolerance: u128,
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) {
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assert!(num_validators > edge_per_voter);
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let rr = |a, b| rand::thread_rng().gen_range(a as usize, b as usize) as VoteWeight;
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let mut candidates = Vec::with_capacity(num_validators as usize);
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let mut stake_of_tree: BTreeMap<AccountId, VoteWeight> = BTreeMap::new();
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(1 ..= num_validators).for_each(|acc| {
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candidates.push(acc);
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stake_of_tree.insert(acc, STAKE + rr(10, 1000));
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});
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let mut voters = Vec::with_capacity(num_nominators as usize);
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(PREFIX ..= (PREFIX + num_nominators)).for_each(|acc| {
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// all possible targets
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let mut all_targets = candidates.clone();
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// we remove and pop into `targets` `edge_per_voter` times.
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let targets = (0 .. edge_per_voter).map(|_| {
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all_targets.remove(rr(0, all_targets.len()) as usize)
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})
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.collect::<Vec<AccountId>>();
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let stake = STAKE + rr(10, 1000);
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stake_of_tree.insert(acc, stake);
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voters.push((acc, stake, targets));
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});
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b.iter(|| {
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let ElectionResult { winners, assignments } = seq_phragmen::<AccountId, Perbill>(
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to_elect,
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Zero::zero(),
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candidates.clone(),
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voters.clone(),
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).unwrap();
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let stake_of = |who: &AccountId| -> VoteWeight {
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*stake_of_tree.get(who).unwrap()
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};
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// Do the benchmarking with balancing.
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if eq_iters > 0 {
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let staked = assignment_ratio_to_staked(assignments, &stake_of);
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let winners = to_without_backing(winners);
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let mut support = build_support_map(winners.as_ref(), staked.as_ref()).0;
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balance_solution(
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staked.into_iter().map(|a| (a.clone(), stake_of(&a.who))).collect(),
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&mut support,
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eq_tolerance,
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eq_iters,
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);
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}
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})
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}
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macro_rules! phragmen_benches {
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($($name:ident: $tup:expr,)*) => {
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$(
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#[bench]
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fn $name(b: &mut Bencher) {
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let (v, n, t, e, eq_iter, eq_tol) = $tup;
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println!("----------------------");
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println!(
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"++ Benchmark: {} Validators // {} Nominators // {} Edges-per-nominator // {} \
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total edges // electing {} // Equalize: {} iterations -- {} tolerance",
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v, n, e, e * n, t, eq_iter, eq_tol,
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);
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do_phragmen(b, v, n, t, e, eq_iter, eq_tol);
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}
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)*
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}
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}
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phragmen_benches! {
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bench_1_1: (VALIDATORS, NOMINATORS, TO_ELECT, EDGES, 0, 0),
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bench_1_2: (VALIDATORS * 2, NOMINATORS, TO_ELECT, EDGES, 0, 0),
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bench_1_3: (VALIDATORS * 4, NOMINATORS, TO_ELECT, EDGES, 0, 0),
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bench_1_4: (VALIDATORS * 8, NOMINATORS, TO_ELECT, EDGES, 0, 0),
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bench_1_1_eq: (VALIDATORS, NOMINATORS, TO_ELECT, EDGES, 2, 0),
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bench_1_2_eq: (VALIDATORS * 2, NOMINATORS, TO_ELECT, EDGES, 2, 0),
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bench_1_3_eq: (VALIDATORS * 4, NOMINATORS, TO_ELECT, EDGES, 2, 0),
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bench_1_4_eq: (VALIDATORS * 8, NOMINATORS, TO_ELECT, EDGES, 2, 0),
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bench_0_1: (VALIDATORS, NOMINATORS, TO_ELECT, EDGES, 0, 0),
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bench_0_2: (VALIDATORS, NOMINATORS, TO_ELECT * 4, EDGES, 0, 0),
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bench_0_3: (VALIDATORS, NOMINATORS, TO_ELECT * 8, EDGES, 0, 0),
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bench_0_4: (VALIDATORS, NOMINATORS, TO_ELECT * 16, EDGES , 0, 0),
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bench_0_1_eq: (VALIDATORS, NOMINATORS, TO_ELECT, EDGES, 2, 0),
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bench_0_2_eq: (VALIDATORS, NOMINATORS, TO_ELECT * 4, EDGES, 2, 0),
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bench_0_3_eq: (VALIDATORS, NOMINATORS, TO_ELECT * 8, EDGES, 2, 0),
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bench_0_4_eq: (VALIDATORS, NOMINATORS, TO_ELECT * 16, EDGES , 2, 0),
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bench_2_1: (VALIDATORS, NOMINATORS, TO_ELECT, EDGES, 0, 0),
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bench_2_2: (VALIDATORS, NOMINATORS * 2, TO_ELECT, EDGES, 0, 0),
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bench_2_3: (VALIDATORS, NOMINATORS * 4, TO_ELECT, EDGES, 0, 0),
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bench_2_4: (VALIDATORS, NOMINATORS * 8, TO_ELECT, EDGES, 0, 0),
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bench_2_1_eq: (VALIDATORS, NOMINATORS, TO_ELECT, EDGES, 2, 0),
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bench_2_2_eq: (VALIDATORS, NOMINATORS * 2, TO_ELECT, EDGES, 2, 0),
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bench_2_3_eq: (VALIDATORS, NOMINATORS * 4, TO_ELECT, EDGES, 2, 0),
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bench_2_4_eq: (VALIDATORS, NOMINATORS * 8, TO_ELECT, EDGES, 2, 0),
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bench_3_1: (VALIDATORS, NOMINATORS, TO_ELECT, EDGES, 0, 0 ),
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bench_3_2: (VALIDATORS, NOMINATORS, TO_ELECT, EDGES * 2, 0, 0),
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bench_3_3: (VALIDATORS, NOMINATORS, TO_ELECT, EDGES * 4, 0, 0),
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bench_3_4: (VALIDATORS, NOMINATORS, TO_ELECT, EDGES * 8, 0, 0),
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bench_3_1_eq: (VALIDATORS, NOMINATORS, TO_ELECT, EDGES, 2, 0),
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bench_3_2_eq: (VALIDATORS, NOMINATORS, TO_ELECT, EDGES * 2, 2, 0),
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bench_3_3_eq: (VALIDATORS, NOMINATORS, TO_ELECT, EDGES * 4, 2, 0),
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bench_3_4_eq: (VALIDATORS, NOMINATORS, TO_ELECT, EDGES * 8, 2, 0),
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}
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