ecclesia/dist/chunk-AM5WIXX2.js

Framework for political and electoral simulations

import {
  Scores
} from "./chunk-W6BKA6NW.js";

// src/election/attribution/scoreFactory.ts
import { enumerate, max } from "@gouvernathor/python";
import { Counter, DefaultMap } from "@gouvernathor/python/collections";
import { fmean, median } from "@gouvernathor/python/statistics";
function averageScore({ nSeats }) {
  const attrib = (votes, rest = {}) => {
    const counts = new DefaultMap(() => []);
    for (const [party, grades] of votes) {
      for (const [grade, qty] of enumerate(grades)) {
        counts.get(party).push(...Array(qty).fill(grade));
      }
    }
    return new Counter([[max(counts.keys(), (party) => fmean(counts.get(party))), nSeats]]);
  };
  attrib.nSeats = nSeats;
  return attrib;
}
function medianScore({ nSeats, contingency }) {
  if (contingency === void 0) {
    contingency = averageScore({ nSeats });
  }
  const attrib = (votes, rest = {}) => {
    const counts = new DefaultMap(() => []);
    for (const [party, grades] of votes) {
      for (const [grade, qty] of enumerate(grades)) {
        counts.get(party).push(...Array(qty).fill(grade));
      }
    }
    const medians = new Map([...counts.entries()].map(([party, partigrades]) => [party, median(partigrades)]));
    const winScore = Math.max(...medians.values());
    const [winner, ...winners] = [...medians.keys()].filter((p) => medians.get(p) === winScore);
    if (winners.length === 0) {
      return new Counter([[winner, nSeats]]);
    }
    winners.unshift(winner);
    const trimmedResults = Scores.fromEntries(winners.map((party) => [party, counts.get(party)]));
    return contingency(trimmedResults, rest);
  };
  attrib.nSeats = nSeats;
  return attrib;
}

export {
  averageScore,
  medianScore
};
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