Adaptive Precision Floating-Point Arithmetic and Fast Robust Predicates for Computational Geometry for Python
Project description
geompreds - A Python wrapper for 2D predicates of Jonathan Richard Shewchuk
Many computational geometry applications use numerical tests known as the orientation and incircle tests. The orientation test determines whether a point lies to the left of, to the right of, or on a line or plane defined by other points. The incircle test determines whether a point lies inside, outside, or on a circle defined by other points. [Adaptive Precision Floating-Point Arithmetic and Fast Robust Predicates for Computational Geometry].
Installation
Download the source
Run python setup.py install (or python setup.py develop)
Run python test/test_predicates.py to run the tests.
Usage
>>> from geompreds import orient2d, incircle
>>> orient2d( (0, 0), (10, 0), (10, 10)) # left turn (positive), looking from above 100.0 >>> orient2d( (0, 0), (10, 0), (20, 0)) # straight (zero) 0.0 >>> orient2d( (0, 0), (10, 0), (10, -10)) # right turn (negative), looking from above -100.0
>>> incircle((0,0), (10,0), (0,10), (0,10)) # on boundary 0.0 >>> incircle((0,0), (10,0), (0,10), (1,1)) # inside, value positive 1800.0 >>> incircle((0,0), (10,0), (0,10), (-100,-100)) # outside, value negative -2200000.0
Changelog
See CHANGES.txt.
Bug reports
If you discover any bugs, feel free to create an issue on Bitbucket.
Please add as much information as possible to help us fixing the possible bug. We also encourage you to help even more by forking and sending us a pull request.
The issue tracker lives here.
Maintainers
License
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file geompreds-1.0.2.tar.gz
.
File metadata
- Download URL: geompreds-1.0.2.tar.gz
- Upload date:
- Size: 52.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | f6b48fe4c823a8c9249b52df9a8375fcf68b48b31a19bf5689c2ff9d6d8820fb |
|
MD5 | c94dc5acbb63e81418be9c61a0b6d2c2 |
|
BLAKE2b-256 | d047c47deecf8f538fdac9661605dfd66727c77f5bcea3ab93ba5268a1ce0a8b |