def flockFinder(self, filename):
global delta
global mu
Maximal.epsilon = self.epsilon
mu = Maximal.mu = self.mu
delta = self.delta
Maximal.precision = 0.0
tag = filename.split(".")[0].split("/")[-1][1:]
dataset = csv.reader(open(filename, 'r'),delimiter=',')
# next(dataset)
t1 = time.time()
points = Maximal.pointTimestamp(dataset)
input_size = len(points['0'])
# timestamps = list(map(int,points.keys()))
# timestamps.sort()
previousFlocks = []
keyFlock = 1
diskID = 1
stdin = []
# for timestamp in timestamps:
centers, treeCenters = Maximal.disksTimestamp(points, '0')
centers_size = len(centers)
# if centersDiskCompare == 0:
# continue
#print(timestamp, len(centersDiskCompare))
# maximalDisks, diskID = Maximal.maximalDisksTimestamp(centersDiskCompare, treeCenters,disksTime, timestamp, diskID)
#print("Maximal",len(maximalDisks))
# previousFlocks, keyFlock, stdin = BFEFlock.flocks(maximalDisks, previousFlocks, int(timestamp), keyFlock, stdin)
# table = ('flocksBFE')
# print("Flocks: ",len(stdin))
# flocks = len(stdin)
# stdin = '\n'.join(stdin)
# db = Pdbc.DBConnector()
# db.createTableFlock(table)
# db.resetTable(table.format(filename))
# db.copyToTable(table,io.StringIO(stdin))
t2 = round(time.time()-t1,3)
print("BFE,{3},{0},{1},{2}".format(tag, centers_size, t2, float(Maximal.epsilon)))
def flockFinder(self, filename, tag):
global delta
global mu
Maximal.epsilon = self.epsilon
mu = Maximal.mu = self.mu
delta = self.delta
Maximal.precision = 0.001
dataset = csv.reader(open('Datasets/' + filename, 'r'), delimiter='\t')
next(dataset)
t1 = time.time()
points = Maximal.pointTimestamp(dataset)
timestamps = list(map(int, points.keys()))
timestamps.sort()
previousFlocks = []
keyFlock = 1
diskID = 1
stdin = []
for timestamp in timestamps:
centersDiskCompare, treeCenters, disksTime = Maximal.disksTimestamp(
points, timestamp)
if centersDiskCompare == 0:
continue
#print(timestamp, len(centersDiskCompare))
maximalDisks, diskID = Maximal.maximalDisksTimestamp(
centersDiskCompare, treeCenters, disksTime, timestamp, diskID)
#print("Maximal",len(maximalDisks))
previousFlocks, keyFlock, stdin = BFEFlock.flocks(
maximalDisks, previousFlocks, int(timestamp), keyFlock, stdin)
table = ('flocksBFE')
print("Flocks: ", len(stdin))
flocks = len(stdin)
stdin = '\n'.join(stdin)
db = Pdbc.DBConnector()
db.createTableFlock(table)
db.resetTable(table.format(filename))
db.copyToTable(table, io.StringIO(stdin))
t2 = round(time.time() - t1, 3)
print("\nTime: ", t2)
db.createTableTest()
db.insertTest(filename, self.epsilon, mu, delta, t2, flocks, tag)
def flockFinder(self, filename,tag):
global delta
global mu
Maximal.epsilon = self.epsilon
mu = Maximal.mu = self.mu
delta = self.delta
Maximal.precision = 0.001
dataset = csv.reader(open('Datasets/'+filename, 'r'),delimiter='\t')
next(dataset)
t1 = time.time()
points = Maximal.pointTimestamp(dataset)
timestamps = list(map(int,points.keys()))
timestamps.sort()
previousFlocks = []
keyFlock = 1
diskID = 1
stdin = []
for timestamp in timestamps:
centersDiskCompare, treeCenters, disksTime = Maximal.disksTimestamp(points, timestamp)
if centersDiskCompare == 0:
continue
#print(timestamp, len(centersDiskCompare))
maximalDisks, diskID = Maximal.maximalDisksTimestamp(centersDiskCompare, treeCenters,disksTime, timestamp, diskID)
#print("Maximal",len(maximalDisks))
previousFlocks, keyFlock, stdin = BFEFlock.flocks(maximalDisks, previousFlocks, int(timestamp), keyFlock, stdin)
table = ('flocksBFE')
print("Flocks: ",len(stdin))
flocks = len(stdin)
stdin = '\n'.join(stdin)
db = Pdbc.DBConnector()
db.createTableFlock(table)
db.resetTable(table.format(filename))
db.copyToTable(table,io.StringIO(stdin))
t2 = round(time.time()-t1,3)
print("\nTime: ",t2)
db.createTableTest()
db.insertTest(filename,self.epsilon,mu, delta, t2, flocks, tag)
def flockFinder(self, filename, tag):
global traj
global stdin
global delta
Maximal.epsilon = self.epsilon
Maximal.mu = self.mu
delta = self.delta
Maximal.precision = 0.001
dataset = csv.reader(open('Datasets/' + filename, 'r'), delimiter='\t')
if os.path.exists('output.dat'):
os.system('rm output.dat')
if os.path.exists('output.mfi'):
os.system('rm output.mfi')
output = open('output.dat', 'w')
next(dataset)
t1 = time.time()
points = Maximal.pointTimestamp(dataset)
timestamps = list(map(int, points.keys()))
timestamps.sort()
previousFlocks = []
keyFlock = 1
diskID = 1
traj = {}
totalMaximalDisks = {}
stdin = []
for timestamp in timestamps:
centersDiskCompare, treeCenters, disksTime = Maximal.disksTimestamp(
points, timestamp)
if centersDiskCompare == 0:
continue
#print(timestamp, len(centersDiskCompare))
maximalDisks, diskID = Maximal.maximalDisksTimestamp(
centersDiskCompare, treeCenters, disksTime, timestamp, diskID)
totalMaximalDisks.update(maximalDisks)
LCMFlock.getTransactions(maximalDisks)
for i in traj:
if len(traj[i]) == 1:
continue
output.write(str(traj[i]) + '\n')
output.close()
os.system("./fim_closed output.dat " + str(Maximal.mu) +
" output.mfi > /dev/null")
if os.path.exists('output.mfi'):
output1 = open('output.mfi', 'r')
stdin = LCMFlock.flocks(output1, totalMaximalDisks, keyFlock)
table = ('flocksLCM')
print("Flocks: ", len(stdin))
flocks = len(stdin)
stdin = '\n'.join(stdin)
db = Pdbc.DBConnector()
db.createTableFlock(table)
db.resetTable(table.format(filename))
db.copyToTable(table, io.StringIO(stdin))
t2 = round(time.time() - t1, 3)
print("\nTime: ", t2)
db.createTableTest()
db.insertTest(filename, self.epsilon, self.mu, delta, t2, flocks, tag)
def flockFinder(self,filename,tag):
global traj
global stdin
global delta
Maximal.epsilon = self.epsilon
Maximal.mu = self.mu
delta = self.delta
Maximal.precision = 0.001
dataset = csv.reader(open('Datasets/'+filename, 'r'),delimiter='\t')
if os.path.exists('output.dat'):
os.system('rm output.dat')
if os.path.exists('output.mfi'):
os.system('rm output.mfi')
output = open('output.dat','w')
next(dataset)
t1 = time.time()
points = Maximal.pointTimestamp(dataset)
timestamps = list(map(int,points.keys()))
timestamps.sort()
previousFlocks = []
keyFlock = 1
diskID = 1
traj = {}
totalMaximalDisks = {}
stdin = []
for timestamp in timestamps:
centersDiskCompare, treeCenters, disksTime = Maximal.disksTimestamp(points, timestamp)
if centersDiskCompare == 0:
continue
#print(timestamp, len(centersDiskCompare))
maximalDisks, diskID = Maximal.maximalDisksTimestamp(centersDiskCompare, treeCenters,disksTime, timestamp, diskID)
totalMaximalDisks.update(maximalDisks)
LCMFlock.getTransactions(maximalDisks)
for i in traj:
if len(traj[i]) == 1:
continue
output.write(str(traj[i])+'\n')
output.close()
os.system("./fim_closed output.dat " + str(Maximal.mu) + " output.mfi > /dev/null")
if os.path.exists('output.mfi'):
output1 = open('output.mfi','r')
stdin = LCMFlock.flocks(output1, totalMaximalDisks, keyFlock)
table = ('flocksLCM')
print("Flocks: ",len(stdin))
flocks = len(stdin)
stdin = '\n'.join(stdin)
db = Pdbc.DBConnector()
db.createTableFlock(table)
db.resetTable(table.format(filename))
db.copyToTable(table,io.StringIO(stdin))
t2 = round(time.time()-t1,3)
print("\nTime: ",t2)
db.createTableTest()
db.insertTest(filename,self.epsilon,self.mu, delta, t2, flocks, tag)