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Package: python3-pykdtree (1.3.4+ds-2build1)

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.

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  • dep: libc6 (>= 2.17) [arm64, ppc64el]
    GNU C Library: Shared libraries
    also a virtual package provided by libc6-udeb
    dep: libc6 (>= 2.4) [amd64, armhf]
  • dep: libgcc-s1 (>= 3.3.1) [ppc64el]
    GCC support library
  • dep: libgomp1 (>= 4.9)
    GCC OpenMP (GOMP) support library
  • dep: python3
    interactive high-level object-oriented language (default python3 version)
    dep: python3 (<< 3.11)
    dep: python3 (>= 3.10~)
  • dep: python3-numpy (>= 1:1.20.0)
    Fast array facility to the Python 3 language
  • dep: python3-numpy-abi9
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Architecture Package Size Installed Size Files
amd64 55.5 kB170 kB [list of files]
arm64 51.7 kB154 kB [list of files]
armhf 50.6 kB120 kB [list of files]
ppc64el 56.5 kB182 kB [list of files]