This is an efficient C++ implementation of the Cassowary constraint
solving algorithm. Kiwi(solver) is an implementation of the algorithm
based on the seminal Cassowary paper. It is not a refactoring of the
original C++ solver. Kiwi(solver) has been designed from the ground
up to be lightweight and fast. It ranges from 10x to 500x faster than
the original Cassowary solver with typical use cases gaining a 40x
improvement. Memory savings are consistently > 5x.
This is the Python 3 version of kiwisolver and will coexist with SBo's
python2-kiwisolver package.
This requires: cppy
Maintained by: Jeremy Hansen
Keywords: python,C++,algorithm,Cassowary
ChangeLog: python3-kiwisolver
Homepage:
https://github.com/nucleic/kiwi
Download SlackBuild:
python3-kiwisolver.tar.gz
python3-kiwisolver.tar.gz.asc (FAQ)
(the SlackBuild does not include the source)
Individual Files: |
README |
python3-kiwisolver.SlackBuild |
python3-kiwisolver.info |
slack-desc |
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