Implement the Highs backend #41100
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Implement the Highs backend #41100
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- Introduced `hatch_vcs`, a Hatch plugin for versioning with VCS. - Added `highspy`, a Python binding for the HiGHS optimization solver. - Created `scikit_build_core`, a build backend for CMake Python projects. - Implemented `HiGHSBackend` in SageMath for linear and mixed-integer programming. - Updated `generic_backend.pyx` to support HiGHS as a solver option. - Added necessary files and dependencies for the new backends. - Included checksums and package metadata for all new packages.
cxzhong
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Documentation preview for this PR (built with commit ff6ef88; changes) is ready! 🎉 |
Added caching for row data and implemented add_linear_constraints method.
This method allows users to define or retrieve solver parameters for the HiGHS solver, including options like time limits and MIP gap tolerances. It also includes methods to get and set the status of constraints and variables, enhancing the functionality of the highs_backend.
Updated verbosity levels for HiGHS solver and added methods to remove constraints.
Add methods to retrieve dual values for constraints and variables.
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@orlitzky Can you help me see this python version? Thank you. |
cxzhong
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Add the packages we need.
Implement the highs backend
Add some methods from GLPK.
Add solver parameters
Add methods
Next: Use C method make to rewrite solve with sig_on sig_off
📝 Checklist
⌛ Dependencies