PyLPSolve is an object oriented wrapper for the open source LP solver `lpsolve`_. The focus is on usability and integration with existing python packages used for scientific programming (i.e. numpy and scipy).
Provides support for the timeout parameter. The timeout parameter is the positive integer seconds before either returning the optimal result or raising a timeout error.
The parameter defaults as 0, meaning no timeout.
In current hotyak/pylpsolve@master, if a timeout occurrs and is infeasible, a general LPException will be raised, identified by the message "Error 7: Timeout Occurred.". If a timeout occurs and the result was feasible, a warning will be printed with the string ""Solver solution suboptimal".
Under #7, if a timeout occurs and is infeasible, an LPTimeout instance will be raised. If a timeout occurs and the result is feasible, an LPSuboptimalException is raised instead (and the solver result can be used). This allows a timeout to be set, preventing unbounded computation, while still being able to programmatically identify a suboptimal result.
Provides support for the
timeoutparameter. Thetimeoutparameter is the positive integer seconds before either returning the optimal result or raising a timeout error.The parameter defaults as
0, meaning no timeout.In current hotyak/pylpsolve@master, if a timeout occurrs and is infeasible, a general
LPExceptionwill be raised, identified by the message"Error 7: Timeout Occurred.". If a timeout occurs and the result was feasible, a warning will be printed with the string""Solver solution suboptimal".Under #7, if a timeout occurs and is infeasible, an
LPTimeoutinstance will be raised. If a timeout occurs and the result is feasible, anLPSuboptimalExceptionis raised instead (and the solver result can be used). This allows a timeout to be set, preventing unbounded computation, while still being able to programmatically identify a suboptimal result.