[3] | 1 | package ai2020.group6;
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| 2 |
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| 3 | import java.util.HashMap;
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| 4 | import java.util.HashSet;
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| 5 | import java.util.List;
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| 6 | import java.util.Map;
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| 7 | import java.util.Set;
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| 8 |
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| 9 | import geniusweb.actions.PartyId;
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| 10 | import geniusweb.actions.Vote;
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| 11 | import geniusweb.actions.Votes;
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| 12 | import geniusweb.issuevalue.Bid;
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| 13 |
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| 14 | /**
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| 15 | * PowerWeightedOptInStrategy collects the amount of power backing a bid such that
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| 16 | * more sophisticated strategies could use this.
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| 17 | *
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| 18 | * @author Group 6
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| 19 | */
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| 20 | public abstract class PowerWeightedOptInStrategy implements IOptInStrategy {
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| 21 |
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| 22 | public abstract Vote vote ( MAState state, Bid bid, Integer power, Integer minpower );
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| 23 |
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| 24 | @Override
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| 25 | public Votes optInVote(MAState state, List<Votes> votes) {
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| 26 | Map<PartyId, Integer> agentpowers = state.getPowerMap();
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| 27 | Map<Bid, Integer> bidpowers = new HashMap<>();
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| 28 | Map<Bid, Integer> bidthresholds = new HashMap<>();
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| 29 | votes.stream().forEach(agentvotes -> {
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| 30 | PartyId agentid = agentvotes.getActor();
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| 31 | agentvotes.getVotes().forEach(vote -> {
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| 32 | Integer power = bidpowers.getOrDefault(vote.getBid(), 0);
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| 33 | Integer minpower = bidthresholds.getOrDefault(vote.getBid(), 0);
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| 34 | power += agentpowers.getOrDefault(agentid, 0);
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| 35 | bidpowers.put(vote.getBid(), power);
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| 36 | bidthresholds.put(vote.getBid(), Math.max(vote.getMinPower(), minpower));
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| 37 | });
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| 38 | });
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| 39 | Set<Vote> optin = new HashSet<Vote>();
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| 40 | bidpowers.forEach((bid, power) -> {
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| 41 | Vote vote = vote(state, bid, bidpowers.getOrDefault(bid, 0), bidthresholds.getOrDefault(bid, 0));
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| 42 | if (vote != null)
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| 43 | optin.add(vote);
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| 44 | });
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| 45 |
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| 46 | return new Votes(state.getId(), optin);
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| 47 | }
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| 48 |
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| 49 | }
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