def compute_alternative_winners(self,
method=None,
party_id=None,
num_winners=None):
election_without_party_id = remove_candidate_from_election(
copy.deepcopy(self), party_id, num_winners)
election_without_party_id = map_the_votes(election_without_party_id,
party_id, num_winners)
if method == 'sntv':
winners_without_party_id = compute_sntv_winners(
election=election_without_party_id, num_winners=num_winners)
elif method == 'borda':
winners_without_party_id = compute_borda_winners(
election=election_without_party_id, num_winners=num_winners)
elif method == 'stv':
winners_without_party_id = compute_stv_winners(
election=election_without_party_id, num_winners=num_winners)
elif method in {'approx_cc', 'approx_hb', 'approx_pav'}:
winners_without_party_id = generate_winners(
election=election_without_party_id,
num_winners=num_winners,
method=method)
else:
winners_without_party_id = []
winners_without_party_id = unmap_the_winners(winners_without_party_id,
party_id, num_winners)
self.alternative_winners[party_id] = winners_without_party_id
def highest_pav_score(election, feature_params):
if election.model_id in LIST_OF_FAKE_MODELS:
return 'None', 'None'
winners, total_time = win.generate_winners(
election=election,
num_winners=feature_params['committee_size'],
ballot="ordinal",
type='bloc_owa',
name='hb')
return get_pav_score(election, winners), total_time
def compute_winners(self, method=None, num_winners=None):
self.borda_points = get_borda_points(self.votes, self.num_voters,
self.num_candidates)
if method == 'sntv':
self.winners = compute_sntv_winners(election=self,
num_winners=num_winners)
if method == 'borda':
self.winners = compute_borda_winners(election=self,
num_winners=num_winners)
if method == 'stv':
self.winners = compute_stv_winners(election=self,
num_winners=num_winners)
if method in {'approx_cc', 'approx_hb', 'approx_pav'}:
self.winners = generate_winners(election=self,
num_winners=num_winners,
method=method)