Use lapx insted of lap
johnnynunez opened this issue · 3 comments
better and updated code: https://github.com/rathaROG/lapx
Thank you for your suggestion. Your work intrigues me, particularly because I've encountered difficulties running the lap on Windows! I have a few questions:
1- How much faster is your method compared to previous approaches? Does it leverage parallel processing or SIMD techniques to optimize speed?
2- Have you assessed the accuracy of your method? There have been reports of bugs in prior implementations of the algorithm, including the one in Scipy.
Thank you for your suggestion. Your work intrigues me, particularly because I've encountered difficulties running the lap on Windows! I have a few questions:
1- How much faster is your method compared to previous approaches? Does it leverage parallel processing or SIMD techniques to optimize speed?
2- Have you assessed the accuracy of your method? There have been reports of bugs in prior implementations of the algorithm, including the one in Scipy.
lapx is really lap, but it was discontinued by the creators. Now it is maintained by the community and used by the standard libraries. And it is compatible with the most recent versions of Python.
OK. Thank you.