Metadata-Version: 2.1
Name: weightedDelaunay
Version: 1.0.2
Summary: A packaged used to calculate the weighted delaunay triangulation in N-dimensions
Home-page: https://github.com/Ale0x78/weightedDelaunay
Author: Mark Klose, Bansi Chhatrala, Alex Nahapetyan
Author-email: mwklose@ncsu.edu, bschhatr@ncsu.edu, anahape@ncsu.edu
License: UNKNOWN
Project-URL: Bug Tracker, https://github.com/Ale0x78/weightedDelaunay/issues
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: scipy
Requires-Dist: numpy

# weighted-delaunay
A packaged used to calculate the weighted delaunay triangulation in N-dimensions

# Usage

## WeightedDelaunay(points, weights)
### Paramesters
- points: ndarray with all the points
- weights: a list of weights that matches the index of the points
### Returns
A weighted Delaunay datastructure

## triangulation()
### Returns
A list of the simplexes for the triangulation

## add_point(point, weight)
### Paramesters
- point: the point to add
- weight: the weight of that point
### Returns
N/A

