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[ Source: pykdtree  ]

Package: python3-pykdtree (1.3.1-4 and others)

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Fast kd-tree implementation with OpenMP-enabled queries (Python 3 version)

pykdtree is a kd-tree implementation for fast nearest neighbour search in Python. The aim is to be the fastest implementation around for common use cases (low dimensions and low number of neighbours) for both tree construction and queries.

The implementation is based on scipy.spatial.cKDTree and libANN by combining the best features from both and focus on implementation efficiency.

The interface is similar to that of scipy.spatial.cKDTree except only Euclidean distance measure is supported.

Queries are optionally multithreaded using OpenMP.

This is the Python 3 version of the package.

Tags: Software Development: Python Development, Libraries, Implemented in: implemented-in::c, implemented-in::python, Role: Development Library

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Download for all available architectures
Architecture Version Package Size Installed Size Files
alpha (unofficial port) 1.3.1-4+b2 47.0 kB167.0 kB [list of files]
amd64 1.3.1-4+b2 49.2 kB154.0 kB [list of files]
arm64 1.3.1-4+b2 42.8 kB142.0 kB [list of files]
armel 1.3.1-4+b2 46.5 kB144.0 kB [list of files]
armhf 1.3.1-4+b2 45.1 kB112.0 kB [list of files]
hppa (unofficial port) 1.3.1-4+b2 45.5 kB166.0 kB [list of files]
i386 1.3.1-4+b2 47.3 kB156.0 kB [list of files]
m68k (unofficial port) 1.3.1-4+b2 42.0 kB148.0 kB [list of files]
mips64el 1.3.1-4+b2 41.5 kB170.0 kB [list of files]
mipsel 1.3.1-4+b2 41.8 kB151.0 kB [list of files]
powerpcspe (unofficial port) 1.3.1-2 42.9 kB302.0 kB [list of files]
ppc64 (unofficial port) 1.3.1-4+b2 47.1 kB174.0 kB [list of files]
ppc64el 1.3.1-4+b2 47.7 kB174.0 kB [list of files]
riscv64 (unofficial port) 1.3.1-4+b2 44.0 kB123.0 kB [list of files]
s390x 1.3.1-4+b2 43.7 kB154.0 kB [list of files]
sh4 (unofficial port) 1.3.1-4+b2 54.8 kB136.0 kB [list of files]
sparc64 (unofficial port) 1.3.1-4+b2 42.4 kB161.0 kB [list of files]
x32 (unofficial port) 1.3.1-4+b2 50.9 kB148.0 kB [list of files]