def test__H(self):
'''
Check _H output consistent bytes length given
the same concatenated hash value size
'''
mg = WeightedMinHashGenerator(100, sample_size=128)
for l in range(2, mg.sample_size+1, 16):
m = mg.minhash(np.random.randint(1, 99999999, 100))
forest = MinHashLSHForest(num_perm=128, l=l)
forest.add("m", m)
sizes = [len(H) for ht in forest.hashtables for H in ht]
self.assertTrue(all(sizes[0] == s for s in sizes))
def test__H(self):
'''
Check _H output consistent bytes length given
the same concatenated hash value size
'''
for l in range(2, 128+1, 16):
forest = MinHashLSHForest(num_perm=128, l=l)
m = MinHash()
m.update("abcdefg".encode("utf8"))
m.update("1234567".encode("utf8"))
forest.add("m", m)
sizes = [len(H) for ht in forest.hashtables for H in ht]
self.assertTrue(all(sizes[0] == s for s in sizes))
def test_insert(self):
forest = MinHashLSHForest()
mg = WeightedMinHashGenerator(10)
m1 = mg.minhash(np.random.uniform(1, 10, 10))
m2 = mg.minhash(np.random.uniform(1, 10, 10))
forest.add("a", m1)
forest.add("b", m2)
self.assertTrue(forest.is_empty())
for t in forest.hashtables:
self.assertTrue(len(t) >= 1)
items = []
for H in t:
items.extend(t[H])
self.assertTrue("a" in items)
self.assertTrue("b" in items)
self.assertTrue("a" in forest)
self.assertTrue("b" in forest)
for i, H in enumerate(forest.keys["a"]):
self.assertTrue("a" in forest.hashtables[i][H])
forest.index()
self.assertFalse(forest.is_empty())
mg = WeightedMinHashGenerator(10, 5)
m3 = mg.minhash(np.random.uniform(1, 10, 10))
self.assertRaises(ValueError, forest.add, "c", m3)
def test_pickle(self):
forest = MinHashLSHForest()
m1 = MinHash()
m1.update("a".encode("utf8"))
m2 = MinHash()
m2.update("b".encode("utf8"))
forest.add("a", m1)
forest.add("b", m2)
forest.index()
forest2 = pickle.loads(pickle.dumps(forest))
result = forest.query(m1, 1)
self.assertTrue("a" in result)
result = forest.query(m2, 1)
self.assertTrue("b" in result)
def test_query(self):
forest = MinHashLSHForest()
mg = WeightedMinHashGenerator(10)
m1 = mg.minhash(np.random.uniform(1, 10, 10))
m2 = mg.minhash(np.random.uniform(1, 10, 10))
forest.add("a", m1)
forest.add("b", m2)
forest.index()
result = forest.query(m1, 2)
self.assertTrue("a" in result)
self.assertTrue("b" in result)
mg = WeightedMinHashGenerator(10, 5)
m3 = mg.minhash(np.random.uniform(1, 10, 10))
self.assertRaises(ValueError, forest.query, m3, 1)
def test_pickle(self):
forest = MinHashLSHForest()
mg = WeightedMinHashGenerator(10)
m1 = mg.minhash(np.random.uniform(1, 10, 10))
m2 = mg.minhash(np.random.uniform(1, 10, 10))
forest.add("a", m1)
forest.add("b", m2)
forest.index()
forest2 = pickle.loads(pickle.dumps(forest))
result = forest2.query(m1, 2)
self.assertTrue("a" in result)
self.assertTrue("b" in result)
def _setup(self):
d = "abcdefghijklmnopqrstuvwxyz"
forest = MinHashLSHForest()
for i in range(len(d)-2):
key = d[i]
m = MinHash()
j = i + 3
for s in d[i:j]:
m.update(s.encode("utf8"))
forest.add(key, m)
forest.index()
return forest
def test_add_index(self):
forest = MinHashLSHForest()
m1 = MinHash()
m1.update("a".encode("utf8"))
m2 = MinHash()
m2.update("b".encode("utf8"))
forest.add("a", m1)
forest.add("b", m2)
self.assertTrue(forest.is_empty())
for t in forest.hashtables:
self.assertTrue(len(t) >= 1)
items = []
for H in t:
items.extend(t[H])
self.assertTrue("a" in items)
self.assertTrue("b" in items)
self.assertTrue("a" in forest)
self.assertTrue("b" in forest)
for i, H in enumerate(forest.keys["a"]):
self.assertTrue("a" in forest.hashtables[i][H])
m3 = MinHash(18)
self.assertRaises(ValueError, forest.add, "c", m3)
forest.index()
self.assertFalse(forest.is_empty())
def test_init(self):
forest = MinHashLSHForest()
self.assertTrue(forest.is_empty())