(function(outer_result){
  var result_US = {bens:{}, nof_counties:0, votes:0};
  var cands = [1, 0.666666, 0.6, 0.55, 0.5, 0.45, 0.4, 0.333333];
  function count(counties){
    var bens = {};
    var nof_counties = 0;
    counties.forEach(county => {
      var votes = 0;
      county.candidates.forEach(cand => {
        countByCand(bens, cand);
        countByCand(result_US.bens, cand);
        votes += cand.voteNum;
      })
      make_pseudo_cands(bens, votes);
      make_pseudo_cands(result_US.bens, votes);
      nof_counties++;
      result_US.votes += votes;
    });
    result_US.nof_counties += nof_counties;
    var props = make_props(bens, nof_counties);
    return {bens, nof_counties, props, diffs:make_diffs(props)};
  }
  function make_pseudo_cands(bens, votes){
    for (var i=0;i<cands.length;i++) countByCand(bens, {lastName:'C'+(cands[i]*100).toString().split('.')[0],
                                                        voteNum: votes*cands[i],
                                                        voteStr:(votes*cands[i]).toString()});
  }
  function countByCand(bens, cand){
    if (cand.voteNum===0) return;
    if (!bens[cand.lastName]) bens[cand.lastName] = {};
    bens[cand.lastName][cand.voteStr[0]] = (bens[cand.lastName][cand.voteStr[0]]||0) +1;
  }
  var props_theoretical = {};
  for (var i=1;i<10;i++) props_theoretical[i] = Math.log10(i+1)-Math.log10(i);
  function make_props(bens, nof_counties){
    var props = {};
    for (var c in bens){
      props[c] = {};
      for (var i in bens[c]) props[c][i] = bens[c][i]/nof_counties;
    }
    return props;
  }
  function make_diffs(props){
    var simple= {};
    var weighted = {};
    for (var c in props){
      simple[c] = {avg:0};
      weighted[c] = {avg:0};
      var num = 0;
      for (var i in props[c]) {
        simple[c][i] = Math.abs(props[c][i]-props_theoretical[i]);
        simple[c].avg += simple[c][i];
        weighted[c][i] = simple[c][i]/props_theoretical[i];
        weighted[c].avg += weighted[c][i];
        num++;
      }
      simple[c].avg /= num;
      weighted[c].avg /= num;
    }
    return {simple, weighted};
  }

//  var states = ["IL"];
//  var states = ["WI"];
//  var states = ["MI", "WI"];
//  var states = ['GA', 'NC', 'PA', 'NV', 'AZ'];
//  var states = ['AZ','CO','FL','GA','IA','MI','MN','NV','NH','NC','OH','PA','TX','VA','WI'];
  var states = ['VT', 'SC', 'IN', 'KY', 'GA', 'VA', 'WV', 'NC', 'OH', 'MA',
                'AL', 'FL', 'DE', 'MD', 'DC', 'NH', 'MS', 'RI', 'ME', 'NJ',
                'OK', 'PA', 'IL', 'CT', 'MO', 'TN', 'AR', 'NY', 'ND', 'CO',
                'MI', 'KS', 'NE', 'MN', 'TX', 'NM', 'WI', 'WY', 'LA', 'AZ',
                'SD', 'UT', 'MT', 'NV', 'IA', 'ID', 'OR', 'CA', 'WA', 'HI', 'AK'];
  var jobs = [];
  for (var i=0;i<states.length;i++) {
    var url = 'https://politics-elex-results.data.api.cnn.io/results/view/2020-county-races-PG-'+states[i]+'.json';
    jobs.push(fetch(url)
              .then(res => res.json())
              .then(data => {
                var state = data[0].stateAbbreviation;
                result_US[state] = count(data);
                console.log(result_US[state]);
                if (outer_result) outer_result.res = result_US;
              }));
  }
  Promise.all(jobs).then(
    _ => {
      result_US.props = make_props(result_US.bens, result_US.nof_counties);
      result_US.diffs = make_diffs(result_US.props);
      console.log(result_US);
    }
  );
})();