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Format: 3.0 (quilt)
Source: faiss
Binary: libfaiss-dev, python3-faiss
Architecture: any
Version: 1.9.0-5
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:
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 bf22f886ecfad9b15528eeb7f0101312c0a9b337 8428 faiss_1.9.0-5.debian.tar.xz
Checksums-Sha256:
 f6721f1a479b0bdd8547e5bb0dbfa872643e7ea37686c6bf6fc99fb933b3fe4f 1084861 faiss_1.9.0.orig.tar.gz
 4999b12f612f94ab53339e0b221aa36ee411422c4ccc8789000ca5920e72ece5 8428 faiss_1.9.0-5.debian.tar.xz
Files:
 db62643ba325b296eeb84dc73897fe81 1084861 faiss_1.9.0.orig.tar.gz
 b55375dc679c0f1d6d19afa5320b03c6 8428 faiss_1.9.0-5.debian.tar.xz

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