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