Source code for pm4py.util.lp.variants.scipy_solver

'''
    PM4Py – A Process Mining Library for Python
Copyright (C) 2024 Process Intelligence Solutions UG (haftungsbeschränkt)

This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as
published by the Free Software Foundation, either version 3 of the
License, or any later version.

This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
GNU Affero General Public License for more details.

You should have received a copy of the GNU Affero General Public License
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visit <https://www.gnu.org/licenses/>.

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Contact: info@processintelligence.solutions
'''

import numpy as np
from scipy.optimize import linprog, OptimizeResult
from typing import Optional, Dict, Any, List
from pm4py.util import exec_utils


[docs] class Parameters: INTEGRALITY = "integrality" METHOD = "method" BOUNDS = "bounds"
[docs] def apply( c: list, Aub: np.ndarray, bub: np.matrix, Aeq: np.matrix, beq: np.matrix, parameters: Optional[Dict[Any, Any]] = None, ) -> OptimizeResult: if parameters is None: parameters = {} integrality = exec_utils.get_param_value( Parameters.INTEGRALITY, parameters, None ) bounds = exec_utils.get_param_value(Parameters.BOUNDS, parameters, None) sol = linprog( c, A_ub=Aub, b_ub=bub, A_eq=Aeq, b_eq=beq, integrality=integrality, bounds=bounds, ) return sol
[docs] def get_prim_obj_from_sol( sol: OptimizeResult, parameters: Optional[Dict[Any, Any]] = None ) -> int: if sol.fun is not None: return round(sol.fun)
[docs] def get_points_from_sol( sol: OptimizeResult, parameters: Optional[Dict[Any, Any]] = None ) -> List[int]: if sol.x is not None: return [round(y) for y in sol.x]