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:

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*rathaROG* created an issue (cheind/py-lapsolver#24) <#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> — Reply to this email directly, view it on GitHub <#24>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AAAJNJIKORH35QC65II4WND3YADKZAVCNFSM6AAAAACJNGTLLWVHI2DSMVQWIX3LMV43ASLTON2WKOZTGUZDGNJUGAZDKMQ> . You are receiving this because you are subscribed to this thread.Message ID: ***@***.***>