Fast balltree implementation for 3-dim data.

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  • License: GNU General Public License v3 or later (GPLv3+) (GPL-3.0-or-later)
  • Author: Jan Luca van den Busch
  • Requires: Python >=3.9
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Project description

balltree

https://img.shields.io/pypi/v/balltree?logo=pypi&logoColor=blue https://github.com/jlvdb/balltree/actions/workflows/python-ci.yml/badge.svg https://readthedocs.org/projects/balltree/badge/?version=latest

A fast ball tree implementation for three dimensional (weighted) data with an Euclidean distance norm. The base implementation is in C and there is a wrapper for Python. The tree is optimised towards spatial correlation function calculations since it provides fast counting routinge, e.g. by implementing a dualtree query algorithm.

Installation

A C library can be built with the provided make file, the python wrapper is automatically compiled and installed with pip install balltree.

The installation does not require any external C libraries, the python wrapper requires the Python.h header (which should be included in a default python installation) and numpy (including numpy/arrayobject.h).

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  • Jan Luca van den Busch (author, Ruhr-Universit??t Bochum, Astronomisches Institut)

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  • License: GNU General Public License v3 or later (GPLv3+) (GPL-3.0-or-later)
  • Author: Jan Luca van den Busch
  • Requires: Python >=3.9
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This version

1.1.1

1.1.0

1.0.1

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