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Format: 3.0 (quilt)
Source: faiss
Binary: libfaiss-dev, python3-faiss
Architecture: any
Version: 1.9.0-5build1
Maintainer: Debian Deep Learning Team <debian-ai@lists.debian.org>
Uploaders: Mo Zhou <lumin@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: 4.7.0
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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 fe94162d794f31ac69076b6064aae8f28833f31c 8492 faiss_1.9.0-5build1.debian.tar.xz
Checksums-Sha256:
 f6721f1a479b0bdd8547e5bb0dbfa872643e7ea37686c6bf6fc99fb933b3fe4f 1084861 faiss_1.9.0.orig.tar.gz
 ba5c5ac947e0433c5275eae212b639a99a21d39d84c386d2b7af71fa62474fe5 8492 faiss_1.9.0-5build1.debian.tar.xz
Files:
 db62643ba325b296eeb84dc73897fe81 1084861 faiss_1.9.0.orig.tar.gz
 9a1059386d5eaadd97d5ae73c82726e0 8492 faiss_1.9.0-5build1.debian.tar.xz

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