linopy.solvers.Solver

class linopy.solvers.Solver(model=None, io_api=None, options=<factory>, track_updates=False)

Abstract base class for solving a given linear problem.

Subclasses provide _build_direct / _run_direct (when supporting the direct API) and _run_file (when supporting LP/MPS files). Construction goes via Solver.from_name() or Solver.from_model().

track_updates toggles persistent-update support:

• False (default) — one-shot mode. No ModelSnapshot is captured at build time; any later solve(model=...) or update(model) raises UpdatesDisabledError. Use for throw-away solver instances and high-level Model.solve(...).

• True — long-lived mode. A snapshot is captured at build time and re-captured after each successful in-place update, enabling diff-based solve(model=...) / update(model) across iterations.

__init__(model=None, io_api=None, options=<factory>, track_updates=False)

Methods

__init__([model, io_api, options, track_updates])
apply_update(diff, var_label_index, ...)	Apply an in-place ModelDiff to the built native model.
close()	Dispose the native solver model and env, releasing any held license.
from_model(model[, io_api, options, ...])	Instantiate and build the solver against model.
from_name(name[, model, io_api, options, ...])	Construct the solver subclass registered as name.
is_available()	Return True if this solver's package/binary is importable.
license_status()	Probe license/runtime availability.
runtime_features()	Features whose availability depends on the installed solver version or runtime environment.
safe_get_solution(status, func)	Get solution from function call, if status is unknown still try to run it.
solve([model, assign, ignore_dims, ...])	Run the prepared solver and return a Result.
solve_problem([model, problem_fn, ...])	Deprecated.
solve_problem_from_file(problem_fn[, ...])	Deprecated shim that caches problem_fn and runs via _run_file.
solve_problem_from_model(model[, ...])	Deprecated shim that builds via _build_direct and runs via _run_direct.
supported_features()	All features supported by this solver, static plus runtime.
supports(feature)	Check if this solver supports a given feature.
update(model[, apply, ignore_dims])	Diff model against the solver state and optionally apply it.
update_solver_model(model, **kwargs)

Attributes

accepted_io_apis
display_name
env
features
io_api
model
report
sense
snapshot
solution
solver_model
solver_name
solver_options
status
supports_persistent_update
supports_sign_update
track_updates
options