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[ Source: pykdtree  ]

Package: python3-pykdtree (1.4.3+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 (>= 2.27) [riscv64]
    dep: libc6 (>= 2.32) [ppc64el]
    dep: libc6 (>= 2.4) [amd64, armhf]
  • dep: libgomp1 (>= 4.9)
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    dep: python3 (<< 3.15)
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Architecture Package Size Installed Size Files
amd64 73.8 kB227 kB [list of files]
arm64 73.4 kB259 kB [list of files]
armhf 67.1 kB193 kB [list of files]
ppc64el 79.0 kB259 kB [list of files]
riscv64 75.2 kB203 kB [list of files]