balltree 1.1.1
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Description:
balltree 1.1.1
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.
Code: https://github.com/jlvdb/balltree.git
Docs: https://balltree.readthedocs.io/
PyPI: https://pypi.org/project/balltree/
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).
Maintainers
Jan Luca van den Busch
(author, Ruhr-Universit??t Bochum, Astronomisches Institut)
License:
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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