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Format: 3.0 (quilt)
Source: faiss
Binary: libfaiss-dev, python3-faiss
Architecture: any
Version: 1.8.0-4
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
 9983f216212b6455f90b444dbd7d350dbdec806f 9860 faiss_1.8.0-4.debian.tar.xz
Checksums-Sha256:
 56ece0a419d62eaa11e39022fa27c8ed6d5a9b9eb7416cc5a0fdbeab07ec2f0c 1015506 faiss_1.8.0.orig.tar.gz
 5d143ff8c8c7df0c87c8f8e0ae6b8d3d1cce43c60f38cdb5619a80a58a9fc87a 9860 faiss_1.8.0-4.debian.tar.xz
Files:
 fc6de8d8fdffca8ed3ff1944c9ec634d 1015506 faiss_1.8.0.orig.tar.gz
 cf95a6902180fac914728988d9df3a83 9860 faiss_1.8.0-4.debian.tar.xz
Dgit: a70cee189a49a3cc71f5ec3e88ef75894b5b657c debian archive/debian/1.8.0-4 https://git.dgit.debian.org/faiss

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