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Format: 3.0 (quilt)
Source: faiss
Binary: libfaiss-dev, python3-faiss
Architecture: any
Version: 1.9.0-5build2
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:
 51407cea9c4185b5cbc46100743c6fc10e8a8de3 1084861 faiss_1.9.0.orig.tar.gz
 4b64907b9565171e250b0d0ab8fd92521802897a 8536 faiss_1.9.0-5build2.debian.tar.xz
Checksums-Sha256:
 f6721f1a479b0bdd8547e5bb0dbfa872643e7ea37686c6bf6fc99fb933b3fe4f 1084861 faiss_1.9.0.orig.tar.gz
 242eabfb4b9c0beee02504c0c58337e586b95aa4f52d3a93837e8ac9b4b13d51 8536 faiss_1.9.0-5build2.debian.tar.xz
Files:
 db62643ba325b296eeb84dc73897fe81 1084861 faiss_1.9.0.orig.tar.gz
 930a7ca1261d5172bce0e34d8ad7b077 8536 faiss_1.9.0-5build2.debian.tar.xz

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