Parth Nobel comments

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                                            Parth Nobel

Let there be names in LP files

You can help get the CI passing!

CI: Build wheels for python 3.13

Hmmm looks like our build process doesn't support rc releases because of a conda issue. We should see if there's a conda channel with rcs and/or migrate to pipx or...

CI: Build wheels for python 3.13

3.13 is out now so we could try and just not worry about rcs for now

LaTeX in cvxpy API docs is not rendering

It's working on Firefox for me 🤷‍♀ ; any chance you can look in the developer console for error messages?

Make HiGHS callable directly from CVXPY and document the availability of HiGHS more explicitly

> In particular, highspy uses sparse compressed row/column storage of the constraint matrix. This is how we internally store the constraint matrix, so that's some good news :) Our preferred...

Make HiGHS callable directly from CVXPY and document the availability of HiGHS more explicitly

Actually example 3 here: https://ergo-code.github.io/HiGHS/dev/interfaces/python/example-py/ shows `addCols` and `addRows` might be exactly what we want? I don't see any documentation of the integral variable support in the python interface tho....

Make HiGHS callable directly from CVXPY and document the availability of HiGHS more explicitly

> It's only inefficient if there are constraints L

Replace custom axis handling with numpy.array_utils.normalize_axis_*

NumPy 1.25 is EoL so I'm fine with the 1.26 dependency. https://endoflife.date/numpy

Replace custom axis handling with numpy.array_utils.normalize_axis_*

Looks like we'd need NumPy 2.0 to get the desired functions tho? Looking at the CI

Replace custom axis handling with numpy.array_utils.normalize_axis_*

Before we do the shim, let me see if we have consensus to move to NumPy 2.0. @SteveDiamond @Transurgeon shall we merge this PR bumping our dependencies to NumPy 2.0...