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# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Binary indexes (de)serialization"""
from __future__ import absolute_import, division, print_function, unicode_literals
import numpy as np
import unittest
import faiss
def make_binary_dataset(d, nb, nt, nq):
assert d % 8 == 0
x = np.random.randint(256, size=(nb + nq + nt, int(d / 8))).astype('uint8')
return x[:nt], x[nt:-nq], x[-nq:]
class TestBinaryFlat(unittest.TestCase):
def __init__(self, *args, **kwargs):
unittest.TestCase.__init__(self, *args, **kwargs)
d = 32
nt = 0
nb = 1500
nq = 500
(_, self.xb, self.xq) = make_binary_dataset(d, nb, nt, nq)
def test_flat(self):
d = self.xq.shape[1] * 8
index = faiss.IndexBinaryFlat(d)
index.add(self.xb)
D, I = index.search(self.xq, 3)
index2 = faiss.deserialize_index_binary(faiss.serialize_index_binary(index))
D2, I2 = index2.search(self.xq, 3)
assert (I2 == I).all()
assert (D2 == D).all()
class TestBinaryIVF(unittest.TestCase):
def __init__(self, *args, **kwargs):
unittest.TestCase.__init__(self, *args, **kwargs)
d = 32
nt = 200
nb = 1500
nq = 500
(self.xt, self.xb, self.xq) = make_binary_dataset(d, nb, nt, nq)
def test_ivf_flat(self):
d = self.xq.shape[1] * 8
quantizer = faiss.IndexBinaryFlat(d)
index = faiss.IndexBinaryIVF(quantizer, d, 8)
index.cp.min_points_per_centroid = 5 # quiet warning
index.nprobe = 4
index.train(self.xt)
index.add(self.xb)
D, I = index.search(self.xq, 3)
index2 = faiss.deserialize_index_binary(faiss.serialize_index_binary(index))
D2, I2 = index2.search(self.xq, 3)
assert (I2 == I).all()
assert (D2 == D).all()
class TestObjectOwnership(unittest.TestCase):
def __init__(self, *args, **kwargs):
unittest.TestCase.__init__(self, *args, **kwargs)
d = 32
nt = 200
nb = 1500
nq = 500
(self.xt, self.xb, self.xq) = make_binary_dataset(d, nb, nt, nq)
def test_read_index_ownership(self):
d = self.xq.shape[1] * 8
index = faiss.IndexBinaryFlat(d)
index.add(self.xb)
# this is the output of read_index_binary (==> checks ownership)
index2 = faiss.deserialize_index_binary(faiss.serialize_index_binary(index))
assert index2.thisown
class TestBinaryFromFloat(unittest.TestCase):
def __init__(self, *args, **kwargs):
unittest.TestCase.__init__(self, *args, **kwargs)
d = 32
nt = 200
nb = 1500
nq = 500
(self.xt, self.xb, self.xq) = make_binary_dataset(d, nb, nt, nq)
def test_binary_from_float(self):
d = self.xq.shape[1] * 8
float_index = faiss.IndexHNSWFlat(d, 16)
index = faiss.IndexBinaryFromFloat(float_index)
index.add(self.xb)
D, I = index.search(self.xq, 3)
index2 = faiss.deserialize_index_binary(faiss.serialize_index_binary(index))
D2, I2 = index2.search(self.xq, 3)
assert (I2 == I).all()
assert (D2 == D).all()
class TestBinaryHNSW(unittest.TestCase):
def __init__(self, *args, **kwargs):
unittest.TestCase.__init__(self, *args, **kwargs)
d = 32
nt = 200
nb = 1500
nq = 500
(self.xt, self.xb, self.xq) = make_binary_dataset(d, nb, nt, nq)
def test_hnsw(self):
d = self.xq.shape[1] * 8
index = faiss.IndexBinaryHNSW(d)
index.add(self.xb)
D, I = index.search(self.xq, 3)
index2 = faiss.deserialize_index_binary(faiss.serialize_index_binary(index))
D2, I2 = index2.search(self.xq, 3)
assert (I2 == I).all()
assert (D2 == D).all()
def test_ivf_hnsw(self):
d = self.xq.shape[1] * 8
quantizer = faiss.IndexBinaryHNSW(d)
index = faiss.IndexBinaryIVF(quantizer, d, 8)
index.cp.min_points_per_centroid = 5 # quiet warning
index.nprobe = 4
index.train(self.xt)
index.add(self.xb)
D, I = index.search(self.xq, 3)
index2 = faiss.deserialize_index_binary(faiss.serialize_index_binary(index))
D2, I2 = index2.search(self.xq, 3)
assert (I2 == I).all()
assert (D2 == D).all()
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