I have implemented a linear programme using Linopy and use the HiGHS solver to solve it with the interior point method. For this application, I don't need to run crossover on the solution. When I pass the run_crossover='off' option to HiGHS through linopy, HiGHS behaves as expected and skips the crossover step, however, linopy does not consider the model optimised when this step is omitted. Do you know how to obtain the solution from linopy in this scenario? Example log message from HiGHS: Ipx: IPM optimal WARNING: LP solver residuals: primal = 0.0710581; dual = 0.0473415 yield num/max/sum primal (391784/0.0710581/6.24267) and dual (463677/0.0473415/3.47325) corrections WARNING: Unwelcome IPX status of Unknown: basis is not valid; solution is valid; run_crossover is "off" Model name : linopy-problem-m_vf1rkb Model status : Unknown IPM iterations: 48 Objective value : -2.8809874134e+07 Relative P-D gap : 7.5484672674e-01 HiGHS run time : 141.71 Writing the solution to /private/var/folders/4p/qywpknvj5qx89qh1g6vy1qlc0000gn/T/linopy-solve-28b76k6g.sol And the following log message from linopy: Solution status unknown. Trying to parse solution. Optimization failed: Status: unknown Termination condition: unknown Solution: 1786176 primals, 1456848 duals Objective: -2.88e+07 Solver model: available Solver message: unknown Continue reading...
