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Format: 3.0 (quilt)
Source: faiss
Binary: libfaiss-dev, python3-faiss
Architecture: any
Version: 1.8.0-1
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
 3eebb3ad83ce6067276565042a17127780c15073 6796 faiss_1.8.0-1.debian.tar.xz
Checksums-Sha256:
 56ece0a419d62eaa11e39022fa27c8ed6d5a9b9eb7416cc5a0fdbeab07ec2f0c 1015506 faiss_1.8.0.orig.tar.gz
 36ede1f93e8361fa403d31a2e2be0d6373a6bf8e8d749e45d9c44bd9c221d99b 6796 faiss_1.8.0-1.debian.tar.xz
Files:
 fc6de8d8fdffca8ed3ff1944c9ec634d 1015506 faiss_1.8.0.orig.tar.gz
 507299b7832791d9e8c370931f16cca6 6796 faiss_1.8.0-1.debian.tar.xz
Dgit: 0c01501e37145e9703b7083c83db66705e0202ca debian archive/debian/1.8.0-1 https://git.dgit.debian.org/faiss

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