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mod common;
use common::*;
use honggfuzz::fuzz;
use rand::{self, SeedableRng};
use sp_npos_elections::{
assignment_ratio_to_staked_normalized, is_score_better, phragmms, to_supports,
to_without_backing, EvaluateSupport, VoteWeight,
};
use sp_runtime::Perbill;
fn main() {
loop {
fuzz!(|data: (usize, usize, usize, usize, u64)| {
let (mut target_count, mut voter_count, mut iterations, mut to_elect, seed) = data;
let rng = rand::rngs::SmallRng::seed_from_u64(seed);
target_count = to_range(target_count, 100, 200);
voter_count = to_range(voter_count, 100, 200);
iterations = to_range(iterations, 5, 30);
to_elect = to_range(to_elect, 25, target_count);
println!(
"++ [voter_count: {} / target_count:{} / to_elect:{} / iterations:{}]",
voter_count, target_count, to_elect, iterations,
);
let (unbalanced, candidates, voters, stake_of_tree) = generate_random_npos_result(
voter_count as u64,
target_count as u64,
to_elect,
rng,
ElectionType::Phragmms(None),
);
let stake_of = |who: &AccountId| -> VoteWeight { *stake_of_tree.get(who).unwrap() };
let unbalanced_score = {
let staked = assignment_ratio_to_staked_normalized(
unbalanced.assignments.clone(),
&stake_of,
)
.unwrap();
let winners = to_without_backing(unbalanced.winners.clone());
let score = to_supports(&winners, &staked).unwrap().evaluate();
if score[0] == 0 {
return
}
score
};
let balanced = phragmms::<AccountId, sp_runtime::Perbill>(
to_elect,
candidates,
voters,
Some((iterations, 0)),
)
.unwrap();
let balanced_score = {
let staked =
assignment_ratio_to_staked_normalized(balanced.assignments.clone(), &stake_of)
.unwrap();
let winners = to_without_backing(balanced.winners);
to_supports(winners.as_ref(), staked.as_ref()).unwrap().evaluate()
};
let enhance = is_score_better(balanced_score, unbalanced_score, Perbill::zero());
println!(
"iter = {} // {:?} -> {:?} [{}]",
iterations, unbalanced_score, balanced_score, enhance,
);
assert!(
balanced_score[0] >= unbalanced_score[0] &&
balanced_score[1] == unbalanced_score[1] &&
balanced_score[2] <= unbalanced_score[2]
);
});
}
}