Files
faiss/tests/test_wheel_smoke.py
T
Tia Lim 0f0f728166 Format faiss Python files with black (line length 80) (#5349)
Summary:
Pull Request resolved: https://github.com/facebookresearch/faiss/pull/5349

# this is a no-op change

Ran `black -l 80` over all tracked Python files under `fbcode/faiss/`, using line length 80 to match faiss's documented coding style (`CONTRIBUTING.md`: "80 character line length (both for C++ and Python)"). 172 files were reformatted; 28 were already compliant.

This is a pure-formatting change. `black` runs its AST-equivalence safety check on every file, so no identifiers, string/numeric values, operators, or control flow were altered — only whitespace, indentation, line wrapping, blank lines, trailing commas, and string-quote normalization (single to double quotes).

`fbcode/faiss/` is intentionally excluded from Meta's standard Python autoformatter (`arc f` / `arc lint -a` report no formatter for these paths) because it mirrors to public GitHub, so the Python had drifted out of any consistent style. The C++ is already clang-format-clean (0 of 807 files change), so this effort is Python-only. This diff brings the Python to canonical `black` formatting.

Excluded `demos/index_pq_flat_separate_codes_from_codebook.py`: it contains a Jupyter `!rm` shell-magic line and is not valid Python, so `black` cannot parse it.

This is the base of a 3-diff stack: (1) this black reformat; (2) `.flake8` alignment (max-line-length 80 + black-compatible ignores E203/W503); (3) genuine lint fixes (F401/F403/F841/B011).

Reviewed By: mnorris11

Differential Revision: D109736099

fbshipit-source-id: 9a054635766ed11aa3760a788395babd3d198abf
2026-06-29 17:29:05 -07:00

201 lines
6.2 KiB
Python

# 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.
"""
Wheel smoke tests for faiss-cpu pip package.
These tests validate that a pip-installed wheel is correctly packaged:
- Shared libraries load (SWIG, BLAS, OpenMP)
- Core search functionality works
- Key index types are registered
- Serialization roundtrips
- Python reference counting is safe
- Contrib submodules are included
They are intentionally minimal and fast (~15s total). The full test suite
runs separately in the cmake-based CI.
"""
import platform
import unittest
import numpy as np
import faiss
class TestImportAndMetadata(unittest.TestCase):
"""Catch: missing shared libs, broken SWIG, wrong Python ABI."""
def test_version_attribute(self):
assert hasattr(faiss, "__version__")
parts = faiss.__version__.split(".")
assert len(parts) == 3
assert all(p.isdigit() for p in parts)
def test_compile_options(self):
opts = faiss.get_compile_options()
assert isinstance(opts, str)
class TestOpenMP(unittest.TestCase):
"""Catch: OpenMP not linked."""
def test_openmp_threads(self):
n = faiss.omp_get_max_threads()
assert n >= 1
faiss.omp_set_num_threads(2)
assert faiss.omp_get_max_threads() == 2
# Restore
faiss.omp_set_num_threads(n)
class TestFlatSearch(unittest.TestCase):
"""Catch: BLAS not linked, SIMD codepath issues."""
def test_flat_l2(self):
d, n = 64, 1000
np.random.seed(42)
xb = np.random.random((n, d)).astype("float32")
index = faiss.IndexFlatL2(d)
index.add(xb)
D, I = index.search(xb[:5], 10)
assert I.shape == (5, 10)
# Nearest neighbor of each vector should be itself
np.testing.assert_array_equal(I[:, 0], np.arange(5))
# Self-distance should be ~0
np.testing.assert_allclose(D[:, 0], 0, atol=1e-5)
def test_flat_ip(self):
d, n = 64, 1000
np.random.seed(42)
xb = np.random.random((n, d)).astype("float32")
faiss.normalize_L2(xb)
index = faiss.IndexFlatIP(d)
index.add(xb)
D, I = index.search(xb[:5], 10)
assert I.shape == (5, 10)
np.testing.assert_array_equal(I[:, 0], np.arange(5))
np.testing.assert_allclose(D[:, 0], 1.0, atol=1e-5)
class TestIndexFactory(unittest.TestCase):
"""Catch: missing index implementations, broken factory string parsing."""
def test_ivf_pq(self):
d, n = 64, 10000
np.random.seed(42)
xb = np.random.random((n, d)).astype("float32")
index = faiss.index_factory(d, "IVF32,PQ8")
assert not index.is_trained
index.train(xb)
assert index.is_trained
index.add(xb)
assert index.ntotal == n
D, I = index.search(xb[:5], 10)
assert I.shape == (5, 10)
def test_hnsw(self):
d, n = 64, 2000
np.random.seed(42)
xb = np.random.random((n, d)).astype("float32")
index = faiss.IndexHNSWFlat(d, 16)
index.hnsw.efSearch = 64
index.add(xb)
assert index.ntotal == n
D, I = index.search(xb[:5], 10)
assert I.shape == (5, 10)
# HNSW should find the vector itself as nearest neighbor
np.testing.assert_array_equal(I[:, 0], np.arange(5))
class TestSerialization(unittest.TestCase):
"""Catch: broken I/O, buffer handling."""
def test_serialize_deserialize_roundtrip(self):
d = 32
np.random.seed(42)
xb = np.random.random((100, d)).astype("float32")
index = faiss.IndexFlatL2(d)
index.add(xb)
# Serialize to bytes
data = faiss.serialize_index(index)
assert isinstance(data, np.ndarray)
assert data.dtype == np.uint8
# Deserialize
index2 = faiss.deserialize_index(data)
assert index2.ntotal == 100
# Results should match
D1, I1 = index.search(xb[:3], 5)
D2, I2 = index2.search(xb[:3], 5)
np.testing.assert_array_equal(I1, I2)
np.testing.assert_allclose(D1, D2)
class TestGCSafety(unittest.TestCase):
"""Catch: Python reference counting bugs, crashes on GC."""
def test_ivf_quantizer_lifecycle(self):
d, n = 32, 5000
np.random.seed(42)
xb = np.random.random((n, d)).astype("float32")
quantizer = faiss.IndexFlatL2(d)
index = faiss.IndexIVFFlat(quantizer, d, 32)
index.train(xb)
index.add(xb)
# Delete the quantizer reference — the index should still work
# because faiss.__init__.py adds it to referenced_objects
del quantizer
D, I = index.search(xb[:3], 5)
assert I.shape == (3, 5)
class TestContribImports(unittest.TestCase):
"""Catch: missing Python files in the wheel."""
def test_contrib_modules(self):
import faiss.contrib.datasets
import faiss.contrib.evaluation
import faiss.contrib.inspect_tools
import faiss.contrib.ivf_tools
import faiss.contrib.exhaustive_search
import faiss.contrib.factory_tools
import faiss.contrib.vecs_io # noqa: F401
def test_contrib_torch_subpackage(self):
try:
import torch # noqa: F401
except ImportError:
raise unittest.SkipTest("torch not available")
import faiss.contrib.torch
import faiss.contrib.torch.clustering
import faiss.contrib.torch.quantization # noqa: F401
class TestSIMD(unittest.TestCase):
"""Catch: Dynamic Dispatch not selecting a SIMD path (x86_64 only)."""
@unittest.skipIf(
platform.machine() not in ("x86_64", "AMD64"),
"SIMD level check only meaningful on x86_64",
)
@unittest.skipIf(
platform.system() == "Windows",
"Windows wheels are built generic (no SIMD) — see pyproject.toml",
)
def test_dd_selects_simd_path(self):
opts = faiss.get_compile_options()
if "DD" not in opts:
raise unittest.SkipTest("Not a Dynamic Dispatch build")
# DD builds should select at least AVX2 on modern x86_64
assert (
"AVX2" in opts or "AVX512" in opts
), f"DD build did not select a SIMD path: {opts}"