avoid using highs_bindings, they are not needed and are removed in 1.7.1.dev

[apfelix]

Mini change to get ObjSense.kMaximize directly from highspy instead of highspy.highs_bindings.

This will make linopy compatible with the dev version 1.7.1.dev1 of highspy, while keeping it compatible with the current stable version 1.5.3.

However, when running the tests, I noticed that all .mps tests fail for test/test_optimization.py::test_model_maximization, as the .mps file generated with 1.7.1.dev1 no longer flips the objective coefficients, but instead uses OBJSENSE MAX.

1.5.3 file:

NAME        
ROWS
 N  Obj     
 L  c0      
 L  c1      
COLUMNS
    x0        Obj       -1
    x0        c0        2
    x0        c1        4
    x1        Obj       -2
    x1        c0        6
    x1        c1        2
RHS
    RHS_V     c0        10
    RHS_V     c1        3
BOUNDS
 FR BOUND     x0      
 FR BOUND     x1      
ENDATA

1.7.1.dev1 file:

NAME        
OBJSENSE
  MAX
ROWS
 N  Obj     
 L  c0      
 L  c1      
COLUMNS
    x0        Obj       1
    x0        c0        2
    x0        c1        4
    x1        Obj       2
    x1        c0        6
    x1        c1        2
RHS
    RHS_V     c0        10
    RHS_V     c1        3
BOUNDS
 FR BOUND     x0      
 FR BOUND     x1      
ENDATA

As 1.7.1.dev1 is no stable version, I didn't adjust the code for this change.

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 85.78%. Comparing base (ecbc962) to head (b5f40dc).

Additional details and impacted files

@@            Coverage Diff             @@
##           master     #264      +/-   ##
==========================================
- Coverage   88.94%   85.78%   -3.16%     
==========================================
  Files          15       15              
  Lines        3645     3645              
  Branches      856      856              
==========================================
- Hits         3242     3127     -115     
- Misses        279      403     +124     
+ Partials      124      115       -9     

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

[FabianHofmann]

@apfelix great that you look into this. Let's merge it and fix the other issue as soon as the stable version is out.