def test_all_tie(self): candidate_names = 'abcde' ranks = [candidate_names] weighted_ranks = [(ranks, 10)] best = schulze.compute_ranks(candidate_names, weighted_ranks) expected_best = [['a', 'b', 'c', 'd', 'e']] self.assertSequenceEqual(expected_best, best)
def test_all_tie(self): candidate_names = 'abcde' ranks = [candidate_names] weighted_ranks = [(ranks, 10)] best = schulze.compute_ranks(candidate_names, weighted_ranks) expected_best = [['a', 'b', 'c', 'd', 'e']] self.assertSequenceEqual(expected_best, best)
def test_tie(self): candidate_names = 'abcde' top = candidate_names[0:2] middle = candidate_names[2] bottom = candidate_names[3:5] ranks = [top, middle, bottom] weighted_ranks = [(ranks, 10)] best = schulze.compute_ranks(candidate_names, weighted_ranks) expected_best = [['a', 'b'], ['c'], ['d', 'e']] self.assertSequenceEqual(expected_best, best)
def test_tie(self): candidate_names = 'abcde' top = candidate_names[0:2] middle = candidate_names[2] bottom = candidate_names[3:5] ranks = [top, middle, bottom] weighted_ranks = [(ranks, 10)] best = schulze.compute_ranks(candidate_names, weighted_ranks) expected_best = [['a', 'b'], ['c'], ['d', 'e']] self.assertSequenceEqual(expected_best, best)
def compute_schulze_ranking(normalized_votes, steamspy_database): # Reference: https://github.com/mgp/schulze-method import schulze (candidate_names, weighted_ranks ) = adapt_votes_format_for_schulze_computations(normalized_votes) schulze_ranking = schulze.compute_ranks(candidate_names, weighted_ranks) print_schulze_ranking(schulze_ranking, steamspy_database) return schulze_ranking
def _resolve_condorcet_vote(votes): votes_dict = collections.defaultdict(dict) for vote in votes: if vote.voter: votes_dict[vote.voter][vote.option] = vote.condorcetvote.rank else: votes_dict[vote.anonymous][vote.option] = vote.condorcetvote.rank if votes_dict: candidates, ballots = convert.convert_rated_candidates( votes_dict.values()) ranking = convert.flatten(compute_ranks(candidates, ballots)) winner = ranking[0] else: ranking = [] winner = None data = {'votes': votes_dict, 'winner': winner, 'ranking': ranking} return data
def _resolve_condorcet_vote(votes): votes_dict = collections.defaultdict(dict) for vote in votes: if vote.voter: votes_dict[vote.voter][vote.option] = vote.condorcetvote.rank else: votes_dict[vote.anonymous][vote.option] = vote.condorcetvote.rank if votes_dict: candidates, ballots = convert.convert_rated_candidates(votes_dict.values()) ranking = convert.flatten(compute_ranks(candidates, ballots)) winner = ranking[0] else: ranking = [] winner = None data = { 'votes': votes_dict, 'winner': winner, 'ranking': ranking } return data