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test.py
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import unittest
from clustering_based_k_anon import clustering_based_k_anon
from models.gentree import GenTree
from models.numrange import NumRange
import random
import pdb
# Build a GenTree object
ATT_TREE = []
def init():
global ATT_TREE
ATT_TREE = []
tree_temp = {}
tree = GenTree('*')
tree_temp['*'] = tree
lt = GenTree('1,5', tree)
tree_temp['1,5'] = lt
rt = GenTree('6,10', tree)
tree_temp['6,10'] = rt
for i in range(1, 11):
if i <= 5:
t = GenTree(str(i), lt, True)
else:
t = GenTree(str(i), rt, True)
tree_temp[str(i)] = t
numrange = NumRange(['1', '2', '3', '4', '5',
'6', '7', '8', '9', '10'], dict())
ATT_TREE.append(tree_temp)
ATT_TREE.append(numrange)
class functionTest(unittest.TestCase):
def test1_k_member(self):
init()
data = [['6', '1', 'haha'],
['6', '1', 'test'],
['8', '2', 'haha'],
['8', '2', 'test'],
['4', '1', 'hha'],
['4', '1', 'hha'],
['4', '3', 'hha'],
['4', '3', 'hha']]
result, eval_r = clustering_based_k_anon(ATT_TREE, data, 'kmember', 2)
try:
self.assertTrue(abs(eval_r[0] - 0) < 0.05)
except AssertionError:
print data
print result
print eval_r
self.assertEqual(0, 1)
def test2_k_member(self):
init()
data = [['6', '1', 'haha'],
['6', '1', 'test'],
['8', '2', 'haha'],
['8', '2', 'test'],
['4', '1', 'hha'],
['4', '2', 'hha'],
['4', '3', 'hha'],
['4', '4', 'hha']]
result, eval_r = clustering_based_k_anon(ATT_TREE, data, 'kmember', 2)
try:
self.assertTrue(abs(eval_r[0] - 2.77) < 0.05)
except AssertionError:
print data
print result
print eval_r
self.assertEqual(0, 1)
def test1_k_nn(self):
init()
data = [['6', '1', 'haha'],
['6', '1', 'test'],
['8', '2', 'haha'],
['8', '2', 'test'],
['4', '1', 'hha'],
['4', '1', 'hha'],
['4', '3', 'hha'],
['4', '3', 'hha']]
result, eval_r = clustering_based_k_anon(ATT_TREE, data, 'knn', 2)
try:
self.assertTrue(abs(eval_r[0] - 0) < 0.05)
except AssertionError:
print data
print result
print eval_r
self.assertEqual(0, 1)
def test2_k_nn(self):
init()
data = [['6', '1', 'haha'],
['6', '1', 'test'],
['8', '2', 'haha'],
['8', '2', 'test'],
['4', '1', 'hha'],
['4', '2', 'hha'],
['4', '3', 'hha'],
['4', '4', 'hha']]
result, eval_r = clustering_based_k_anon(ATT_TREE, data, 'knn', 2)
try:
self.assertTrue(abs(eval_r[0] - 2.77) < 0.05)
except AssertionError:
print data
print result
print eval_r
self.assertEqual(0, 1)
def test1_oka(self):
init()
data = [['6', '1', 'haha'],
['6', '1', 'test'],
['8', '2', 'haha'],
['8', '2', 'test'],
['4', '1', 'hha'],
['4', '1', 'hha'],
['4', '3', 'hha'],
['4', '3', 'hha']]
result, eval_r = clustering_based_k_anon(ATT_TREE, data, 'oka', 2)
try:
self.assertTrue(abs(eval_r[0] - 0) < 0.05)
except AssertionError:
print data
print result
print eval_r
self.assertEqual(0, 1)
def test2_oka(self):
init()
data = [['6', '1', 'haha'],
['6', '1', 'test'],
['8', '2', 'haha'],
['8', '2', 'test'],
['4', '1', 'hha'],
['4', '2', 'hha'],
['4', '3', 'hha'],
['4', '4', 'hha']]
result, eval_r = clustering_based_k_anon(ATT_TREE, data, 'oka', 2)
try:
self.assertTrue(abs(eval_r[0] - 2.77) < 0.05)
except AssertionError:
print data
print result
print eval_r
self.assertEqual(0, 1)
if __name__ == '__main__':
unittest.main()