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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
46 lines
1.1 KiB
Python
46 lines
1.1 KiB
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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#
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# This source code is licensed under the MIT license found in the
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# LICENSE file in the root directory of this source tree.
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from __future__ import print_function
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import sys
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import time
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import numpy as np
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def ivecs_read(fname):
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a = np.fromfile(fname, dtype="int32")
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d = a[0]
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return a.reshape(-1, d + 1)[:, 1:].copy()
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def fvecs_read(fname):
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return ivecs_read(fname).view("float32")
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def load_sift1M():
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print("Loading sift1M...", end="", file=sys.stderr)
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xt = fvecs_read("sift1M/sift_learn.fvecs")
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xb = fvecs_read("sift1M/sift_base.fvecs")
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xq = fvecs_read("sift1M/sift_query.fvecs")
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gt = ivecs_read("sift1M/sift_groundtruth.ivecs")
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print("done", file=sys.stderr)
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return xb, xq, xt, gt
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def evaluate(index, xq, gt, k):
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nq = xq.shape[0]
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t0 = time.time()
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D, I = index.search(xq, k) # noqa: E741
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t1 = time.time()
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recalls = {}
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i = 1
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while i <= k:
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recalls[i] = (I[:, :i] == gt[:, :1]).sum() / float(nq)
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i *= 10
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return (t1 - t0) * 1000.0 / nq, recalls
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