Skip to content

handle missing dual values when barrier solution has no crossover #601

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
danielelerede-oet wants to merge 2 commits into
base: master
Choose a base branch
from
Open

handle missing dual values when barrier solution has no crossover #601

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
7f07dd7
handle missing dual values when barrier solution has no crossover
danielelerede-oet Mar 4, 2026
33c1ca0
Add release notes
danielelerede-oet Mar 4, 2026
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion doc/release_notes.rst
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -9,7 +9,7 @@ Upcoming Version
* Add ``linopy.breakpoints()`` factory for convenient breakpoint construction from lists, dicts, or keyword arguments. Includes ``breakpoints.segments()`` for disjunctive formulations.
* Add the `sphinx-copybutton` to the documentation
* Add SOS1 and SOS2 reformulations for solvers not supporting them.

* Improve handling of CPLEX solver quality attributes to ensure metrics such are extracted correctly when available.

Version 0.6.5
-------------
Expand Down
8 changes: 5 additions & 3 deletions linopy/solvers.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -1405,14 +1405,16 @@ def get_solver_solution() -> Solution:
m.solution.get_values(), m.variables.get_names(), dtype=float
)

if is_lp:
try:
dual = pd.Series(
m.solution.get_dual_values(),
m.linear_constraints.get_names(),
dtype=float,
)
else:
logger.warning("Dual values of MILP couldn't be parsed")
except Exception:
logger.warning(
"Dual values not available (e.g. barrier solution without crossover)"
)
dual = pd.Series(dtype=float)
return Solution(solution, dual, objective)

Expand Down