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I'd like to create cuPDLPx conda-forge feedstock so it's easier for users to create a working environment. I think it should be straightforward:
Even better would be to use the PyPI distro so that it comes with a Python API (it isn't necessary for a conda-forge package to have a Python API, but it's a nice addition). I think this would then be:
- cuda, cuda-nvcc, gcc, and cmake as build dependencies
- pip install cupdlpx
The first option is working for me locally, the second isn't (does not appear to contain CMakeLists.txt. style error that I'm yet to successfully debug).
Is this something you've looked into at all and would have pointers on?
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