def compute_distances_from_guardians(experiment_id):
guardians = ['identity', 'uniformity', 'antagonism', 'stratification']
# guardians = ['antagonism']
for guardian in guardians:
model = obj.Experiment(experiment_id)
election_model = guardian
election_2_id = 'guess'
el.generate_elections(experiment_id, election_model=election_model, election_id=election_2_id,
num_voters=100, num_candidates=10, special=0)
# election_2 = obj.Election(experiment_id, election_2_id)
scores = []
for i in range(model.num_elections):
election_1_id = 'core_' + str(i)
election_1 = obj.Election(experiment_id, election_1_id)
election_2 = obj.Election(experiment_id, election_2_id)
score = metr.get_distance(election_1, election_2, distance_name='positionwise', metric_name='emd')
scores.append(score)
print(election_1_id, round(score, 4))
path = os.path.join(os.getcwd(), "experiments", experiment_id, "controllers", "distances", guardian + '.txt')
file_scores = open(path, 'w')
for i in range(model.num_elections):
file_scores.write(str(scores[i]) + "\n")
file_scores.close()
def compute_distance_from_ant(experiment_id):
model = obj.Experiment(experiment_id)
num_elections = 1
x = 'x'
scores = []
for i in range(model.num_elections):
election_1_id = 'core_' + str(i)
election_1 = obj.Election(experiment_id, election_1_id)
election_model = 'antagonism'
x = 50
election_2_id = 'guess'
el.generate_elections(experiment_id, election_model=election_model, election_id=election_2_id,
num_elections=num_elections,
num_voters=model.num_voters, num_candidates=model.num_candidates,
special=x)
election_2 = obj.Election(experiment_id, election_2_id)
score = metr.get_distance_from_unid(election_1, election_2)
scores.append(score)
print(election_1_id, round(score, 2))
path = os.path.join(os.getcwd(), "experiments", experiment_id, "controllers", "advanced", "ant.txt")
file_scores = open(path, 'w')
for i in range(model.num_elections):
file_scores.write(str(scores[i]) + "\n")
file_scores.close()
def compute_highest_borda1m_map(experiment_id):
model = obj.Experiment(experiment_id)
scores = []
for i in range(model.num_elections):
election_id = 'core_' + str(i)
election = obj.Election(experiment_id, election_id)
score = metr.get_highest_borda12_score(election)
scores.append(score)
print(election_id, score)
file_name = os.path.join(os.getcwd(), "experiments", experiment_id, "controllers", "advanced",
"highest_borda1m.txt")
file_scores = open(file_name, 'w')
for i in range(model.num_elections):
file_scores.write(str(scores[i]) + "\n")
file_scores.close()
def compute_highest_copeland_map(experiment_id):
model = obj.Experiment(experiment_id)
file_name = os.path.join(os.getcwd(), "experiments", experiment_id, "controllers", "advanced",
"highest_copeland.txt")
file_scores = open(file_name, 'w')
for i in range(model.num_elections):
election_id = "core_" + str(i)
election = obj.Election(experiment_id, election_id)
if not election.fake:
score = metr.get_highest_copeland_score(election.potes, election.num_voters, election.num_candidates)
else:
score = -1
file_scores.write(str(score) + "\n")
file_scores.close()
