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Format: 3.0 (quilt)
Source: faiss
Binary: libfaiss-dev, python3-faiss
Architecture: any
Version: 1.8.0-3
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: c++-compiler, cmake, g++, libgtest-dev, python3-all
Build-Depends: cmake, debhelper-compat (= 13), dh-python, dh-sequence-python3, dh-sequence-numpy3, 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:
 e62e6fba7d496ad5de60ee94de1bfe9bcdebaad8 1015506 faiss_1.8.0.orig.tar.gz
 c5526d8be8d730fd795565005351b6fe5072b7fc 9804 faiss_1.8.0-3.debian.tar.xz
Checksums-Sha256:
 56ece0a419d62eaa11e39022fa27c8ed6d5a9b9eb7416cc5a0fdbeab07ec2f0c 1015506 faiss_1.8.0.orig.tar.gz
 a0fda17e7713e540006be0b78a505f87324632e8f235f3f54d607abd851026f8 9804 faiss_1.8.0-3.debian.tar.xz
Files:
 fc6de8d8fdffca8ed3ff1944c9ec634d 1015506 faiss_1.8.0.orig.tar.gz
 e98ea4ebb65526d823ee32a573658244 9804 faiss_1.8.0-3.debian.tar.xz
Dgit: 253dfb3932feeb653b0d1dacdd6e05166ffe9c4d debian archive/debian/1.8.0-3 https://git.dgit.debian.org/faiss

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