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Format: 3.0 (quilt)
Source: faiss
Binary: libfaiss-dev, python3-faiss
Architecture: any
Version: 1.8.0-2
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
 772a00e78286c1144598c9c6d6c5f61f17251de6 9772 faiss_1.8.0-2.debian.tar.xz
Checksums-Sha256:
 56ece0a419d62eaa11e39022fa27c8ed6d5a9b9eb7416cc5a0fdbeab07ec2f0c 1015506 faiss_1.8.0.orig.tar.gz
 47ea8e4c2df7e6701bb3e4da156cfcc2898c40186159f25efe4a1f5bbcd16483 9772 faiss_1.8.0-2.debian.tar.xz
Files:
 fc6de8d8fdffca8ed3ff1944c9ec634d 1015506 faiss_1.8.0.orig.tar.gz
 bc88cd9351c95301160bb008b2501e21 9772 faiss_1.8.0-2.debian.tar.xz
Dgit: eafadd2553188e5c3c905453ce9425c2aa35a17c debian archive/debian/1.8.0-2 https://git.dgit.debian.org/faiss

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