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Format: 3.0 (quilt)
Source: faiss
Binary: libfaiss-dev, python3-faiss
Architecture: any
Version: 1.11.0-2
Maintainer: Debian Deep Learning Team <debian-ai@lists.debian.org>
Uploaders: Mo Zhou <lumin@debian.org>, Shengqi Chen <harry@debian.org>
Homepage: https://github.com/facebookresearch/faiss
Description: efficient similarity search and clustering of dense vectors
 Faiss is a library for efficient similarity search and clustering of dense
 vectors. It contains algorithms that search in sets of vectors of any size, up
 to ones that possibly do not fit in RAM. It also contains supporting code for
 evaluation and parameter tuning. Faiss is written in C++ with complete wrappers
 for Python/numpy. Some of the most useful algorithms are implemented on the
 GPU. It is developed by Facebook AI Research.
Standards-Version: 4.7.2
Vcs-Browser: https://salsa.debian.org/deeplearning-team/faiss
Vcs-Git: https://salsa.debian.org/deeplearning-team/faiss.git
Testsuite: autopkgtest
Testsuite-Triggers: build-essential, c++-compiler, cmake, g++, libgtest-dev, ninja-build, python3-all
Build-Depends: cmake, debhelper-compat (= 13), dh-python, dh-sequence-numpy3, dh-sequence-python3, libblas-dev, libgtest-dev, liblapack-dev, libpython3-all-dev, python3-all-dev:any, python3-numpy, python3-setuptools, swig
Package-List:
 libfaiss-dev deb libdevel optional arch=any
 python3-faiss deb python optional arch=any
Checksums-Sha1:
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 3f8ea0df835f8d085cfc2dbdad07f49337862345 9288 faiss_1.11.0-2.debian.tar.xz
Checksums-Sha256:
 c5d517da6deb6a6d74290d7145331fc7474426025e2d826fa4a6d40670f4493c 1138777 faiss_1.11.0.orig.tar.gz
 6d007649d8699f06a80e478a39f0a11489f62d9fed3cbcc4236701f3a34462e6 9288 faiss_1.11.0-2.debian.tar.xz
Files:
 7a162a1d29b33311f4ef29aefdf0f211 1138777 faiss_1.11.0.orig.tar.gz
 a94ddb369776a98226adf0bf165b76b6 9288 faiss_1.11.0-2.debian.tar.xz

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