mirror of
https://github.com/pezkuwichain/pezkuwi-subxt.git
synced 2026-06-17 21:51:06 +00:00
Implementing MaxEncodedLen for generate_solution_type (#11032)
* Move `sp-npos-elections-solution-type` to `frame-election-provider-support` First stab at it, will need to amend some more stuff * Fixing tests * Fixing tests * Fixing cargo.toml for std configuration * Implementing `MaxEncodedLen` on `generate_solution_type` * Full implementation of `max_encoded_len` * Fixing implementation bug adding some comments and documentation * fmt * Committing suggested changes renaming, and re exporting macro. * Removing unneeded imports * Implementing `MaxEncodedLen` on `generate_solution_type` * Full implementation of `max_encoded_len` * Fixing implementation bug adding some comments and documentation * Move `NposSolution` to frame * Implementing `MaxEncodedLen` on `generate_solution_type` * Full implementation of `max_encoded_len` * Fixing implementation bug adding some comments and documentation * Fixing test * Removing unneeded dependencies * `VoterSnapshotPerBlock` -> `MaxElectingVoters` * rename `SizeBound` to `MaxVoters` * Removing TODO and change bound * renaming `size_bound` to `max_voters` * Enabling tests for `solution-type` These got dropped off after the crate was moved from `sp_npos_elections` * Adding tests for `MaxEncodedLen` of solution_type * Better rustdocs. Better indenting and comments. Removing unneeded imports in tests.
This commit is contained in:
@@ -0,0 +1,428 @@
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// This file is part of Substrate.
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// Copyright (C) 2019-2022 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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//! Tests for solution-type.
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#![cfg(test)]
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use crate::{mock::*, IndexAssignment, NposSolution};
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use frame_support::traits::ConstU32;
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use rand::SeedableRng;
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use std::convert::TryInto;
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mod solution_type {
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use super::*;
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use codec::{Decode, Encode, MaxEncodedLen};
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// these need to come from the same dev-dependency `frame-election-provider-support`, not from
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// the crate.
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use crate::{generate_solution_type, Assignment, Error as NposError, NposSolution};
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use sp_std::{convert::TryInto, fmt::Debug};
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#[allow(dead_code)]
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mod __private {
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// This is just to make sure that the solution can be generated in a scope without any
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// imports.
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use crate::generate_solution_type;
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generate_solution_type!(
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#[compact]
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struct InnerTestSolutionIsolated::<
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VoterIndex = u32,
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TargetIndex = u8,
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Accuracy = sp_runtime::Percent,
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MaxVoters = crate::tests::ConstU32::<20>,
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>(12)
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);
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}
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#[test]
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fn solution_struct_works_with_and_without_compact() {
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// we use u32 size to make sure compact is smaller.
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let without_compact = {
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generate_solution_type!(
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pub struct InnerTestSolution::<
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VoterIndex = u32,
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TargetIndex = u32,
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Accuracy = TestAccuracy,
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MaxVoters = ConstU32::<20>,
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>(16)
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);
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let solution = InnerTestSolution {
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votes1: vec![(2, 20), (4, 40)],
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votes2: vec![(1, [(10, p(80))], 11), (5, [(50, p(85))], 51)],
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..Default::default()
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};
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solution.encode().len()
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};
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let with_compact = {
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generate_solution_type!(
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#[compact]
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pub struct InnerTestSolutionCompact::<
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VoterIndex = u32,
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TargetIndex = u32,
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Accuracy = TestAccuracy,
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MaxVoters = ConstU32::<20>,
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>(16)
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);
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let compact = InnerTestSolutionCompact {
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votes1: vec![(2, 20), (4, 40)],
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votes2: vec![(1, [(10, p(80))], 11), (5, [(50, p(85))], 51)],
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..Default::default()
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};
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compact.encode().len()
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};
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assert!(with_compact < without_compact);
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}
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#[test]
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fn max_encoded_len_too_small() {
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generate_solution_type!(
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pub struct InnerTestSolution::<
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VoterIndex = u32,
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TargetIndex = u32,
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Accuracy = TestAccuracy,
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MaxVoters = ConstU32::<1>,
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>(3)
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);
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let solution = InnerTestSolution {
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votes1: vec![(2, 20), (4, 40)],
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votes2: vec![(1, [(10, p(80))], 11), (5, [(50, p(85))], 51)],
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..Default::default()
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};
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// We actually have 4 voters, but the bound is 1 voter, so the implemented bound is too
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// small.
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assert!(solution.encode().len() > InnerTestSolution::max_encoded_len());
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}
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#[test]
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fn max_encoded_len_upper_bound() {
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generate_solution_type!(
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pub struct InnerTestSolution::<
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VoterIndex = u32,
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TargetIndex = u32,
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Accuracy = TestAccuracy,
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MaxVoters = ConstU32::<4>,
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>(3)
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);
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let solution = InnerTestSolution {
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votes1: vec![(2, 20), (4, 40)],
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votes2: vec![(1, [(10, p(80))], 11), (5, [(50, p(85))], 51)],
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..Default::default()
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};
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// We actually have 4 voters, and the bound is 4 voters, so the implemented bound should be
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// larger than the encoded len.
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assert!(solution.encode().len() < InnerTestSolution::max_encoded_len());
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}
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#[test]
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fn max_encoded_len_exact() {
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generate_solution_type!(
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pub struct InnerTestSolution::<
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VoterIndex = u32,
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TargetIndex = u32,
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Accuracy = TestAccuracy,
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MaxVoters = ConstU32::<4>,
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>(3)
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);
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let solution = InnerTestSolution {
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votes1: vec![],
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votes2: vec![],
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votes3: vec![
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(1, [(10, p(50)), (11, p(20))], 12),
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(2, [(20, p(50)), (21, p(20))], 22),
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(3, [(30, p(50)), (31, p(20))], 32),
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(4, [(40, p(50)), (41, p(20))], 42),
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],
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};
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// We have 4 voters, the bound is 4 voters, and all the voters voted for 3 targets, which is
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// the max number of targets. This should represent the upper bound that `max_encoded_len`
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// represents.
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assert_eq!(solution.encode().len(), InnerTestSolution::max_encoded_len());
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}
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#[test]
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fn solution_struct_is_codec() {
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let solution = TestSolution {
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votes1: vec![(2, 20), (4, 40)],
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votes2: vec![(1, [(10, p(80))], 11), (5, [(50, p(85))], 51)],
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..Default::default()
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};
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let encoded = solution.encode();
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assert_eq!(solution, Decode::decode(&mut &encoded[..]).unwrap());
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assert_eq!(solution.voter_count(), 4);
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assert_eq!(solution.edge_count(), 2 + 4);
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assert_eq!(solution.unique_targets(), vec![10, 11, 20, 40, 50, 51]);
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}
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#[test]
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fn remove_voter_works() {
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let mut solution = TestSolution {
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votes1: vec![(0, 2), (1, 6)],
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votes2: vec![(2, [(0, p(80))], 1), (3, [(7, p(85))], 8)],
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votes3: vec![(4, [(3, p(50)), (4, p(25))], 5)],
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..Default::default()
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};
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assert!(!solution.remove_voter(11));
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assert!(solution.remove_voter(2));
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assert_eq!(
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solution,
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TestSolution {
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votes1: vec![(0, 2), (1, 6)],
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votes2: vec![(3, [(7, p(85))], 8)],
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votes3: vec![(4, [(3, p(50)), (4, p(25))], 5,)],
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..Default::default()
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},
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);
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assert!(solution.remove_voter(4));
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assert_eq!(
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solution,
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TestSolution {
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votes1: vec![(0, 2), (1, 6)],
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votes2: vec![(3, [(7, p(85))], 8)],
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..Default::default()
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},
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);
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assert!(solution.remove_voter(1));
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assert_eq!(
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solution,
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TestSolution {
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votes1: vec![(0, 2)],
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votes2: vec![(3, [(7, p(85))], 8),],
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..Default::default()
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},
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);
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}
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#[test]
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fn from_and_into_assignment_works() {
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let voters = vec![2 as AccountId, 4, 1, 5, 3];
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let targets = vec![
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10 as AccountId,
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11,
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20, // 2
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30,
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31, // 4
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32,
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40, // 6
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50,
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51, // 8
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];
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let assignments = vec![
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Assignment { who: 2 as AccountId, distribution: vec![(20u64, p(100))] },
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Assignment { who: 4, distribution: vec![(40, p(100))] },
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Assignment { who: 1, distribution: vec![(10, p(80)), (11, p(20))] },
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Assignment { who: 5, distribution: vec![(50, p(85)), (51, p(15))] },
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Assignment { who: 3, distribution: vec![(30, p(50)), (31, p(25)), (32, p(25))] },
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];
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let voter_index = |a: &AccountId| -> Option<u32> {
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voters.iter().position(|x| x == a).map(TryInto::try_into).unwrap().ok()
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};
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let target_index = |a: &AccountId| -> Option<u16> {
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targets.iter().position(|x| x == a).map(TryInto::try_into).unwrap().ok()
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};
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let solution =
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TestSolution::from_assignment(&assignments, voter_index, target_index).unwrap();
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// basically number of assignments that it is encoding.
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assert_eq!(solution.voter_count(), assignments.len());
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assert_eq!(
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solution.edge_count(),
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assignments.iter().fold(0, |a, b| a + b.distribution.len()),
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);
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assert_eq!(
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solution,
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TestSolution {
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votes1: vec![(0, 2), (1, 6)],
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votes2: vec![(2, [(0, p(80))], 1), (3, [(7, p(85))], 8)],
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votes3: vec![(4, [(3, p(50)), (4, p(25))], 5)],
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..Default::default()
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}
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);
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assert_eq!(solution.unique_targets(), vec![0, 1, 2, 3, 4, 5, 6, 7, 8]);
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let voter_at = |a: u32| -> Option<AccountId> {
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voters.get(<u32 as TryInto<usize>>::try_into(a).unwrap()).cloned()
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};
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let target_at = |a: u16| -> Option<AccountId> {
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targets.get(<u16 as TryInto<usize>>::try_into(a).unwrap()).cloned()
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};
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assert_eq!(solution.into_assignment(voter_at, target_at).unwrap(), assignments);
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}
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#[test]
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fn unique_targets_len_edge_count_works() {
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// we don't really care about voters here so all duplicates. This is not invalid per se.
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let solution = TestSolution {
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votes1: vec![(99, 1), (99, 2)],
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votes2: vec![(99, [(3, p(10))], 7), (99, [(4, p(10))], 8)],
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votes3: vec![(99, [(11, p(10)), (12, p(10))], 13)],
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// ensure the last one is also counted.
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votes16: vec![(
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99,
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[
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(66, p(10)),
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(66, p(10)),
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(66, p(10)),
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(66, p(10)),
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(66, p(10)),
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(66, p(10)),
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(66, p(10)),
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(66, p(10)),
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(66, p(10)),
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(66, p(10)),
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(66, p(10)),
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(66, p(10)),
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(66, p(10)),
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(66, p(10)),
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(66, p(10)),
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],
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67,
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)],
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..Default::default()
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};
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assert_eq!(solution.unique_targets(), vec![1, 2, 3, 4, 7, 8, 11, 12, 13, 66, 67]);
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assert_eq!(solution.edge_count(), 2 + (2 * 2) + 3 + 16);
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assert_eq!(solution.voter_count(), 6);
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// this one has some duplicates.
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let solution = TestSolution {
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votes1: vec![(99, 1), (99, 1)],
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votes2: vec![(99, [(3, p(10))], 7), (99, [(4, p(10))], 8)],
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votes3: vec![(99, [(11, p(10)), (11, p(10))], 13)],
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..Default::default()
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};
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assert_eq!(solution.unique_targets(), vec![1, 3, 4, 7, 8, 11, 13]);
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assert_eq!(solution.edge_count(), 2 + (2 * 2) + 3);
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assert_eq!(solution.voter_count(), 5);
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}
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#[test]
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fn solution_into_assignment_must_report_overflow() {
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// in votes2
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let solution = TestSolution {
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votes1: Default::default(),
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votes2: vec![(0, [(1, p(100))], 2)],
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..Default::default()
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};
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let voter_at = |a: u32| -> Option<AccountId> { Some(a as AccountId) };
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let target_at = |a: u16| -> Option<AccountId> { Some(a as AccountId) };
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assert_eq!(
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solution.into_assignment(&voter_at, &target_at).unwrap_err(),
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NposError::SolutionWeightOverflow,
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);
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// in votes3 onwards
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let solution = TestSolution {
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votes1: Default::default(),
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votes2: Default::default(),
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votes3: vec![(0, [(1, p(70)), (2, p(80))], 3)],
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..Default::default()
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};
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assert_eq!(
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solution.into_assignment(&voter_at, &target_at).unwrap_err(),
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NposError::SolutionWeightOverflow,
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);
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}
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#[test]
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fn target_count_overflow_is_detected() {
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let voter_index = |a: &AccountId| -> Option<u32> { Some(*a as u32) };
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let target_index = |a: &AccountId| -> Option<u16> { Some(*a as u16) };
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let assignments = vec![Assignment {
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who: 1 as AccountId,
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distribution: (10..27).map(|i| (i as AccountId, p(i as u8))).collect::<Vec<_>>(),
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}];
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let solution = TestSolution::from_assignment(&assignments, voter_index, target_index);
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assert_eq!(solution.unwrap_err(), NposError::SolutionTargetOverflow);
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}
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#[test]
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fn zero_target_count_is_ignored() {
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let voters = vec![1 as AccountId, 2];
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let targets = vec![10 as AccountId, 11];
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let assignments = vec![
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Assignment { who: 1 as AccountId, distribution: vec![(10, p(50)), (11, p(50))] },
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Assignment { who: 2, distribution: vec![] },
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];
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let voter_index = |a: &AccountId| -> Option<u32> {
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voters.iter().position(|x| x == a).map(TryInto::try_into).unwrap().ok()
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};
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let target_index = |a: &AccountId| -> Option<u16> {
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targets.iter().position(|x| x == a).map(TryInto::try_into).unwrap().ok()
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};
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let solution =
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TestSolution::from_assignment(&assignments, voter_index, target_index).unwrap();
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assert_eq!(
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solution,
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TestSolution {
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votes1: Default::default(),
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votes2: vec![(0, [(0, p(50))], 1)],
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..Default::default()
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}
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);
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}
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}
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#[test]
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fn index_assignments_generate_same_solution_as_plain_assignments() {
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let rng = rand::rngs::SmallRng::seed_from_u64(0);
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let (voters, assignments, candidates) = generate_random_votes(1000, 2500, rng);
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let voter_index = make_voter_fn(&voters);
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let target_index = make_target_fn(&candidates);
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let solution =
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TestSolution::from_assignment(&assignments, &voter_index, &target_index).unwrap();
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let index_assignments = assignments
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.into_iter()
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.map(|assignment| IndexAssignment::new(&assignment, &voter_index, &target_index))
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.collect::<Result<Vec<_>, _>>()
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.unwrap();
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let index_compact = index_assignments.as_slice().try_into().unwrap();
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assert_eq!(solution, index_compact);
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}
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