Adaptive Precision Floating-Point Arithmetic and Fast Robust Predicates for Computational Geometry for Python
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].
- Download the source
- Run python setup.py install (or python setup.py develop)
- Run python test/test_predicates.py to run the tests.
>>> 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
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