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_levels(experiment_id, election_model='identity'):
model = obj.Experiment(experiment_id)
# model_id = 'identity'
num_voters = 100
num_candidates = 10
x = 'x'
scores = []
for i in range(model.num_elections):
election_1_id = 'core_' + str(i)
election_2_id = 'guess'
el.generate_elections(experiment_id, election_model=election_model, election_id=election_2_id,
num_candidates=num_candidates, num_voters=num_voters, special=0)
elections_ids = [election_1_id, election_2_id]
score = metr.get_distance(experiment_id, elections_ids)
print(election_1_id, score)
scores.append(score)
path = os.path.join(os.getcwd(), "experiments", experiment_id, "controllers", "advanced", "levels.txt")
file_scores = open(path, 'w')
for i in range(model.num_elections):
file_scores.write(str(scores[i]) + "\n")
file_scores.close()
def triangle_test(experiment_id):
num_voters = 100
num_candidates = 10
num_elections = 1
elections_type = 'antagonism'
# print(method, x)
distance_name = "positionwise"
metric_type = "emd"
# COMPUTE ALL 'GUESS' ELECTIONS
for T1 in range(100):
x = T1
elections_id_a = "guess_" + str(T1)
el.generate_elections(experiment_id, election_model=elections_type, election_id=elections_id_a,
num_elections=num_elections,
num_candidates=num_candidates, num_voters=num_voters, special=x)
# COMPUTE ALL DISTANCES
for T1 in range(100):
elections_id_a = "guess_" + str(T1)
elections_id_b = "core_" + str(0)
elections_ids = [elections_id_a, elections_id_b]
distances_1 = metr.get_distance(experiment_id, distance_name, elections_ids, metric_type)[0]
distances_1 = round(distances_1, 2)
elections_id_a = "guess_" + str(T1)
elections_id_b = "core_" + str(1)
elections_ids = [elections_id_a, elections_id_b]
distances_2 = metr.get_distance(experiment_id, distance_name, elections_ids, metric_type)[0]
distances_2 = round(distances_2, 2)
total = round(distances_1 + distances_2, 2)
print(distances_1, distances_2, total)