HiGHS
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ERGO-Code
Make HiGHS installable via PyPI
I would be great if one could call pip install highs. This would make the solver in general much easier installable and accessible.
@michaelbynum wrote already an appsi wrapper from Pyomo to HiGHS, as pointed in Pyomo/pyomo#2094. Unfortunately, this has stalled and has not been merged to the main branch. One of the main reasons is that HiGHS is not installable via a package manager. Therefore, it cannot be integrated into a proper CI-pipeline, I guess.
@mckib2 wrote wrappers for sckit and for scipy #156 and brought older versions to PyPI. Would it be possible to make HiGHs as an own PyPI package such that Pyomo and others can more easily use it?
Unfortunately, I personally do not have any experience in packaging C++ libraries.
@mckib2 wrote wrappers for sckit and for scipy #156 and brought older versions to PyPI. Would it be possible to make HiGHs as an own PyPI package such that Pyomo and others can more easily use it?
The old scikit that you linked to was a proof-of-concept for integrating into the SciPy build system. All that work has been integrated into SciPy and improved upon with the MIP solver accessible in the upcoming 1.9.0 release. Instead of the old buildutils build system, we now use meson. We expect to develop an object oriented interface in the coming months. 1.9.0 should also contain a very recent version of HiGHS with SciPy binaries available across many platforms and installable via pip.
Any reason you can't use/build on SciPy's linprog function? I believe cvxpy is taking this approach and you'll get support for Python specific build and usage issues
Any reason you can't use/build on SciPy's linprog function? I believe cvxpy is taking this approach and you'll get support for Python specific build and usage issues
Thanks for the pointer on this @mckib2 We need HiGHS to be installable via a package manager for a number of projects. @michaelbynum and @galabovaa have managed this for MacOS and Linux, but Windows is proving to be very tricky.
I don't know whether we can use/build on SciPy's linprog function, but @galabovaa is soon back from holiday and will have a view
@jajhall Only supporting Linux and MacOS would be fine at least for me. Coin-CBC is only supported on Linux and MacOS as well atm, if I am not wrong.
For the prototype "thin" Python wrapper highspy around the C++ class, pip install highspy works on two Ubuntu installations, and is not known to fail on any other Linux installation.
@michaelbynum Would this be sufficient to integrate the appsi-HiGHS interface to pyomo?
Having highspy on PyPI is great! It helped me a lot in adding an interface for HiGHS in qpsolvers.
Looking forward to the upcoming release (since currently 1.1.2.dev3 is pre-release) :smiley:
Also, not part of this issue but likely a follow-up feature request, I'll be looking forward for the addition of get/setHotStart to the interface (keeping track in https://github.com/stephane-caron/qpsolvers/issues/94).
Also, not part of this issue but likely a follow-up feature request, I'll be looking forward for the addition of
get/setHotStartto the interface (keeping track in stephane-caron/qpsolvers#94).
Hot starting the QP solver is not possible at present, and might not be possible for a long time. My other comments relate to hot-starting the LP solver
I could not find highspy on PyPI. I know pip install works locally, but is it on PyPI yet? If so, could anyone share a link?
@l-kotzur, yes - having highspy on PyPI would be sufficient to integrate the appsi-HiGHS interface into Pyomo.
You can find it at https://pypi.org/project/highspy/. It does not appear in search because it is still a pre-release.
Hi, do you know when/if there were plans for the pip installed version to work on Windows? Thanks so much.
We certainly "plan" to get pip install highspy to work on Windows, but achieving it is another matter!
@l-kotzur, The Pyomo-Appsi interface to HiGHS is now in Pyomo main and will be in the next release.
@l-kotzur, The Pyomo-Appsi interface to HiGHS is now in Pyomo main and will be in the next release.
@michaelbynum I have seen it. Those are great news, thanks. I am looking forward to test it.
Hello @jajhall, what is the issue to pip install on windows? I would be glad to help if you think I could. We develop on windows where I work.
The HiGHS Rust interface works on Windows when we install cmake and llvm. But I imagine it is more challenging with PyPI?
Hello @jajhall, what is the issue to pip install on windows? I would be glad to help if you think I could. We develop on windows where I work.
I don't know specifically, because it's being worked on by @galabovaa. Currently she's combining work on this with integrating HiGHS into another major solver package. Perhaps there's some specific issue that you could help her with, but I'll leave her to ask. Many thanks!
Hi @trigaut
Currently on Windows, pip install seems to be generating a wheel, however, when I call "import highspy" from python I get a "DLL not found" error.
I am not an expert on Windows and I have been struggling to get the paths correct.
Any help would be much appreciated. You could have a look at the win branch which contains some minor changes to the CMake files.
Thanks, Ivet
@trigaut: It's worth (re-?)emphasising that pip install highspy works on Linux and MacOS
I just managed to build a wheel for Windows 64bit cp39: https://pypi.org/project/highspy/
If you would please try to install from your windows machines and test if it works on your side that would be great!
The example from the README is working for my case on Windows 10. Great support, thanks!
Version 1.1.2.dev3 was working on Linux but when I just tested out updating to 1.4.0.dev0 it appears to fail.
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On Tue, 22 Nov 2022 at 01:56, Leander Kotzur @.***> wrote:
The example from the README is working for my case on Windows 10. Great support, thanks!
— Reply to this email directly, view it on GitHub https://github.com/ERGO-Code/HiGHS/issues/925#issuecomment-1322189189, or unsubscribe https://github.com/notifications/unsubscribe-auth/ABQC6PK4N6HDQTKG5PL42UDWJOESRANCNFSM542DWKZA . You are receiving this because you commented.Message ID: @.***>
Version 1.1.2.dev3 was working on Linux but when I just tested out updating to 1.4.0.dev0 it appears to fail.
1.4.0.dev0 doesn't have a recent branch from @galabovaa merged into it
Yesterday I uploaded highspy 1.4.0 only for Windows so trying to update on Linux would give users an error. I will update linux and macOS as well to 1.4.0 once we merge the latest changes into master.
Thanks so much!
On Tue, 22 Nov 2022 at 20:54, galabovaa @.***> wrote:
Yesterday I uploaded highspy 1.4.0 only for Windows so trying to update on Linux would give users an error. I will update linux and macOS as well to 1.4.0 once we merge the latest changes into master.
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Just tested pip install highspy and to solve many problems modeled with pyomo and using the "appsi_highs" SolverFactory. It works like a charm! Thanks !
For me the same. Therefore also again many thanks to @michaelbynum and the whole HiGHS-team. For my instance, I had at least a factor three faster solving time in comparison to coin-cbc. Just waiting for the official Pyomo-release to set it as default solver.
Excellent news! I would also like to thank @galabovaa for all the effort putting together the PyPI releases. It made things much easier for Pyomo.
Is it planned to add a source distribution to the pypi release? This would simplify the creation of conda package.
