lapsolver has been integrated in lapx v0.6.0

[rathaROG]

Hello,

No issue, but I would like to share that the recent lapx v0.6.0 has added a new function called lapjvc, which is based on the same sources as solve_dense here. The sources of lapjvc can be found here.

Example in lapsolver:

import lapsolver
rids, cids = lapsolver.solve_dense(costs)

The example above is functionally equivalent to:

import lap  # Yes! Use `import lap` | pip install lapx
rids, cids = lap.lapjvc(costs, return_cost=False)

This integration aims to provide users of lapx with more choices under a unified API, while lapx offers pre-built wheels for all major platforms and architectures from Python 3.7 to 3.14.

If anyone has any feedback/questions, or notices any compatibility issues, please let me know here or head to the official lapx repo here!

Best regards,
rathaROG

[cheind]

Hi,

very kewl project and thanks for letting me know!

all the best chris

rathaROG @.***> schrieb am Do., 16. Okt. 2025, 23:16:

rathaROG created an issue (cheind/py-lapsolver#24) https://github.com/cheind/py-lapsolver/issues/24

Hello,

No issue, but I would like to share that the recent lapx v0.6.0 https://github.com/rathaROG/lapx/releases/tag/v0.6.0 has added a new function called lapjvc, which is based on the same sources as solve_dense here https://github.com/cheind/py-lapsolver/tree/master/src. The sources of lapjvc can be found here https://github.com/rathaROG/lapx/tree/main/src/_lapjvc.

Example in lapsolver:

import lapsolverrids, cids = lapsolver.solve_dense(costs)

The example above is functionally equivalent to:

import lap # Yes! Use import lap | pip install lapxrids, cids = lap.lapjvc(costs, return_cost=False)

This integration aims to provide users of lapx with more choices under a unified API, while lapx offers pre-built wheels for all major platforms and architectures from Python 3.7 to 3.14.

If anyone has any feedback/questions, or notices any compatibility issues, please let me know here or head to the official lapx repo here https://github.com/rathaROG/lapx!

Best regards, rathaROG https://github.com/rathaROG

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