Source: hnswlib Section: science Priority: optional Maintainer: Debian Med Packaging Team Uploaders: Steffen Moeller Build-Depends: debhelper-compat (= 13), dh-python, python3-all-dev, python3-setuptools, python3-pybind11, python3-numpy Standards-Version: 4.6.1 Vcs-Browser: https://salsa.debian.org/med-team/hnswlib Vcs-Git: https://salsa.debian.org/med-team/hnswlib.git Homepage: https://github.com/nmslib/hnswlib Rules-Requires-Root: no Package: python3-hnswlib Architecture: any Section: python Depends: ${shlibs:Depends}, ${misc:Depends}, ${python3:Depends}, python3-pybind11, python3-numpy Multi-Arch: same Description: Python bindings for hnswlib: fast approximate nearest neighbor search A common task in data analysis but also in scientific computations is to find data that is very close (multi-dimensional space) or similar (same thing) to a given data point. Also as heuristics for physics engines, it is the objects closest to you that you are most likely to collide with. This library knows how to do this fast. . This package provides a module for Python3 to the C implementation. Package: libhnswlib-dev Architecture: all Section: libdevel Depends: ${misc:Depends} Multi-Arch: foreign Description: fast approximate nearest neighbor search Header-only C++ HNSW implementation with Python bindings. . A common task in data analysis but also in scientific computations is to find data that is very close (multi-dimensional space) or similar (same thing) to a given data point. Also as heuristics for physics engines, it is the objects closest to you that you are most likely to collide with. This library knows how to do this fast.