// This file is part of Substrate. // Copyright (C) 2019-2020 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. //! Mock file for npos-elections. #![cfg(test)] use crate::{seq_phragmen, ElectionResult, Assignment, VoteWeight, ExtendedBalance}; use sp_arithmetic::{PerThing, InnerOf, traits::{SaturatedConversion, Zero, One}}; use sp_std::collections::btree_map::BTreeMap; use sp_runtime::assert_eq_error_rate; #[derive(Default, Debug)] pub(crate) struct _Candidate { who: A, score: f64, approval_stake: f64, elected: bool, } #[derive(Default, Debug)] pub(crate) struct _Voter { who: A, edges: Vec<_Edge>, budget: f64, load: f64, } #[derive(Default, Debug)] pub(crate) struct _Edge { who: A, load: f64, candidate_index: usize, } #[derive(Default, Debug, PartialEq)] pub(crate) struct _Support { pub own: f64, pub total: f64, pub others: Vec<_Assignment>, } pub(crate) type _Assignment = (A, f64); pub(crate) type _SupportMap = BTreeMap>; pub(crate) type AccountId = u64; #[derive(Debug, Clone)] pub(crate) struct _ElectionResult { pub winners: Vec<(A, ExtendedBalance)>, pub assignments: Vec<(A, Vec<_Assignment>)> } pub(crate) fn auto_generate_self_voters(candidates: &[A]) -> Vec<(A, Vec)> { candidates.iter().map(|c| (c.clone(), vec![c.clone()])).collect() } pub(crate) fn elect_float( candidate_count: usize, initial_candidates: Vec, initial_voters: Vec<(A, Vec)>, stake_of: FS, ) -> Option<_ElectionResult> where A: Default + Ord + Copy, for<'r> FS: Fn(&'r A) -> VoteWeight, { let mut elected_candidates: Vec<(A, ExtendedBalance)>; let mut assigned: Vec<(A, Vec<_Assignment>)>; let mut c_idx_cache = BTreeMap::::new(); let num_voters = initial_candidates.len() + initial_voters.len(); let mut voters: Vec<_Voter> = Vec::with_capacity(num_voters); let mut candidates = initial_candidates .into_iter() .enumerate() .map(|(idx, who)| { c_idx_cache.insert(who.clone(), idx); _Candidate { who, ..Default::default() } }) .collect::>>(); voters.extend(initial_voters.into_iter().map(|(who, votes)| { let voter_stake = stake_of(&who) as f64; let mut edges: Vec<_Edge> = Vec::with_capacity(votes.len()); for v in votes { if let Some(idx) = c_idx_cache.get(&v) { candidates[*idx].approval_stake = candidates[*idx].approval_stake + voter_stake; edges.push( _Edge { who: v.clone(), candidate_index: *idx, ..Default::default() } ); } } _Voter { who, edges: edges, budget: voter_stake, load: 0f64, } })); let to_elect = candidate_count.min(candidates.len()); elected_candidates = Vec::with_capacity(candidate_count); assigned = Vec::with_capacity(candidate_count); for _round in 0..to_elect { for c in &mut candidates { if !c.elected { c.score = 1.0 / c.approval_stake; } } for n in &voters { for e in &n.edges { let c = &mut candidates[e.candidate_index]; if !c.elected && !(c.approval_stake == 0f64) { c.score += n.budget * n.load / c.approval_stake; } } } if let Some(winner) = candidates .iter_mut() .filter(|c| !c.elected) .min_by(|x, y| x.score.partial_cmp(&y.score).unwrap_or(sp_std::cmp::Ordering::Equal)) { winner.elected = true; for n in &mut voters { for e in &mut n.edges { if e.who == winner.who { e.load = winner.score - n.load; n.load = winner.score; } } } elected_candidates.push((winner.who.clone(), winner.approval_stake as ExtendedBalance)); } else { break } } for n in &mut voters { let mut assignment = (n.who.clone(), vec![]); for e in &mut n.edges { if let Some(c) = elected_candidates.iter().cloned().map(|(c, _)| c).find(|c| *c == e.who) { if c != n.who { let ratio = e.load / n.load; assignment.1.push((e.who.clone(), ratio)); } } } if assignment.1.len() > 0 { assigned.push(assignment); } } Some(_ElectionResult { winners: elected_candidates, assignments: assigned, }) } pub(crate) fn equalize_float( mut assignments: Vec<(A, Vec<_Assignment>)>, supports: &mut _SupportMap, tolerance: f64, iterations: usize, stake_of: FS, ) where for<'r> FS: Fn(&'r A) -> VoteWeight, A: Ord + Clone + std::fmt::Debug, { for _i in 0..iterations { let mut max_diff = 0.0; for (voter, assignment) in assignments.iter_mut() { let voter_budget = stake_of(&voter); let diff = do_equalize_float( voter, voter_budget, assignment, supports, tolerance, ); if diff > max_diff { max_diff = diff; } } if max_diff < tolerance { break; } } } pub(crate) fn do_equalize_float( voter: &A, budget_balance: VoteWeight, elected_edges: &mut Vec<_Assignment>, support_map: &mut _SupportMap, tolerance: f64 ) -> f64 where A: Ord + Clone, { let budget = budget_balance as f64; if elected_edges.is_empty() { return 0.0; } let stake_used = elected_edges .iter() .fold(0.0, |s, e| s + e.1); let backed_stakes_iter = elected_edges .iter() .filter_map(|e| support_map.get(&e.0)) .map(|e| e.total); let backing_backed_stake = elected_edges .iter() .filter(|e| e.1 > 0.0) .filter_map(|e| support_map.get(&e.0)) .map(|e| e.total) .collect::>(); let mut difference; if backing_backed_stake.len() > 0 { let max_stake = backing_backed_stake .iter() .max_by(|x, y| x.partial_cmp(&y).unwrap_or(sp_std::cmp::Ordering::Equal)) .expect("vector with positive length will have a max; qed"); let min_stake = backed_stakes_iter .min_by(|x, y| x.partial_cmp(&y).unwrap_or(sp_std::cmp::Ordering::Equal)) .expect("iterator with positive length will have a min; qed"); difference = max_stake - min_stake; difference = difference + budget - stake_used; if difference < tolerance { return difference; } } else { difference = budget; } // Undo updates to support elected_edges.iter_mut().for_each(|e| { if let Some(support) = support_map.get_mut(&e.0) { support.total = support.total - e.1; support.others.retain(|i_support| i_support.0 != *voter); } e.1 = 0.0; }); elected_edges.sort_by(|x, y| support_map.get(&x.0) .and_then(|x| support_map.get(&y.0).and_then(|y| x.total.partial_cmp(&y.total))) .unwrap_or(sp_std::cmp::Ordering::Equal) ); let mut cumulative_stake = 0.0; let mut last_index = elected_edges.len() - 1; elected_edges.iter_mut().enumerate().for_each(|(idx, e)| { if let Some(support) = support_map.get_mut(&e.0) { let stake = support.total; let stake_mul = stake * (idx as f64); let stake_sub = stake_mul - cumulative_stake; if stake_sub > budget { last_index = idx.checked_sub(1).unwrap_or(0); return } cumulative_stake = cumulative_stake + stake; } }); let last_stake = elected_edges[last_index].1; let split_ways = last_index + 1; let excess = budget + cumulative_stake - last_stake * (split_ways as f64); elected_edges.iter_mut().take(split_ways).for_each(|e| { if let Some(support) = support_map.get_mut(&e.0) { e.1 = excess / (split_ways as f64) + last_stake - support.total; support.total = support.total + e.1; support.others.push((voter.clone(), e.1)); } }); difference } pub(crate) fn create_stake_of(stakes: &[(AccountId, VoteWeight)]) -> Box VoteWeight> { let mut storage = BTreeMap::::new(); stakes.iter().for_each(|s| { storage.insert(s.0, s.1); }); let stake_of = move |who: &AccountId| -> VoteWeight { storage.get(who).unwrap().to_owned() }; Box::new(stake_of) } pub fn check_assignments_sum(assignments: Vec>) { for Assignment { distribution, .. } in assignments { let mut sum: u128 = Zero::zero(); distribution.iter().for_each(|(_, p)| sum += p.deconstruct().saturated_into()); assert_eq!(sum, T::ACCURACY.saturated_into(), "Assignment ratio sum is not 100%"); } } pub(crate) fn run_and_compare( candidates: Vec, voters: Vec<(AccountId, Vec)>, stake_of: &Box VoteWeight>, to_elect: usize, ) where ExtendedBalance: From>, Output: sp_std::ops::Mul, { // run fixed point code. let ElectionResult { winners, assignments } = seq_phragmen::<_, Output>( to_elect, candidates.clone(), voters.iter().map(|(ref v, ref vs)| (v.clone(), stake_of(v), vs.clone())).collect::>(), None ).unwrap(); // run float poc code. let truth_value = elect_float( to_elect, candidates, voters, &stake_of, ).unwrap(); assert_eq!(winners.iter().map(|(x, _)| x).collect::>(), truth_value.winners.iter().map(|(x, _)| x).collect::>()); for Assignment { who, distribution } in assignments.clone() { if let Some(float_assignments) = truth_value.assignments.iter().find(|x| x.0 == who) { for (candidate, per_thingy) in distribution { if let Some(float_assignment) = float_assignments.1.iter().find(|x| x.0 == candidate ) { assert_eq_error_rate!( Output::from_fraction(float_assignment.1).deconstruct(), per_thingy.deconstruct(), Output::Inner::one(), ); } else { panic!( "candidate mismatch. This should never happen. could not find ({:?}, {:?})", candidate, per_thingy, ) } } } else { panic!("nominator mismatch. This should never happen.") } } check_assignments_sum(assignments); } pub(crate) fn build_support_map_float( result: &mut _ElectionResult, stake_of: FS, ) -> _SupportMap where for<'r> FS: Fn(&'r AccountId) -> VoteWeight { let mut supports = <_SupportMap>::new(); result.winners .iter() .map(|(e, _)| (e, stake_of(e) as f64)) .for_each(|(e, s)| { let item = _Support { own: s, total: s, ..Default::default() }; supports.insert(e.clone(), item); }); for (n, assignment) in result.assignments.iter_mut() { for (c, r) in assignment.iter_mut() { let nominator_stake = stake_of(n) as f64; let other_stake = nominator_stake * *r; if let Some(support) = supports.get_mut(c) { support.total = support.total + other_stake; support.others.push((n.clone(), other_stake)); } *r = other_stake; } } supports }