'''
Created on 2013/12/22
@author: SuzukiRyota
'''
from util.request_logging import RequestArray, collect_sample_from_dir
from analyze import point, cluster
if __name__ == '__main__':
for cheat_type in ['sparse', 'mid']:
print('CHEAT TYPE: %s' % cheat_type)
tikuwa_array = collect_sample_from_dir('logs')
# collect cheat inputs
cheat_array = RequestArray('tikuwa_update_cheat_%s' % cheat_type, 'logs_cheat')
print('Number of cheats: %d' % len(cheat_array))
tikuwa_array.extend(cheat_array)
points, labels = point.make_point_array_with_labels(tikuwa_array, 'tid', 'hasnum')
points_n, mean, var = point.normalize(points)
print('Number of points: %d' % len(points))
print('Means and standard deviations')
for m, v in zip(mean, var):
print(m, v)
cluster.step_dbscan(points, 1.5, 11,
contain_cheat=True, labels_true=labels)
"""
Created on 2014/01/22
@author: SuzukiRyota
"""
from util.request_logging import RequestArray, collect_sample_from_dir
from analyze import cluster, point
if __name__ == "__main__":
tikuwa_array = collect_sample_from_dir("logs")
# insert cheats
cheat_type = "dens"
cheat_array = RequestArray("tikuwa_update_cheat_%s" % cheat_type, "logs_cheat")
tikuwa_array.extend(cheat_array)
# step DBSCAN analyze
points, labels = point.make_point_array_with_labels(tikuwa_array, "tid", "hasnum")
points_n, mean, var = point.normalize(points)
print("Number of points: %d" % len(points))
print("Means and standard deviations")
for m, v in zip(mean, var):
print(m, v)
cluster.step_dbscan(
points_n, point.frange(0.5, 1.6, 0.1), range(9, 15, 1), contain_cheat=True, labels_true=labels, latex=True
)
