Metadata-Version: 2.1
Name: poisson-disc
Version: 0.1.1
Summary: Poisson disc sampling in arbitrary dimensions using Bridson's algorithm, implemented in python using numpy and scipy. Generates so-called "blue noise" that prevents clustering by ensuring each two points are at least "radius" apart.
Home-page: https://github.com/diregoblin/poisson_disc_sampling
License: BSD-2-Clause
Author: Pavel Zun
Author-email: pavel.zun@gmail.com
Requires-Python: >=3.7,<4.0
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Requires-Dist: numpy (>=1.20.0,<2.0.0)
Requires-Dist: scipy (>=1.6.0,<2.0.0)
Project-URL: Repository, https://github.com/diregoblin/poisson_disc_sampling
Description-Content-Type: text/markdown

# Poisson disc sampling
Poisson disc sampling in arbitrary dimensions using Bridson's algorithm, implemented in python using ``numpy`` and ``scipy``.

Generates so-called "blue noise" that prevents clustering by ensuring each two points are at least ``radius`` apart.

https://www.cs.ubc.ca/~rbridson/docs/bridson-siggraph07-poissondisk.pdf

Implementation is located in ``poisson_disc.py``, while ``poisson_disc_sampling.ipynb`` contains some examples. 

Available through PyPI as ``poisson_disc``, https://pypi.org/project/poisson-disc/
