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
along with this program. If not, see this software project's root or
visit <https://www.gnu.org/licenses/>.
Website: https://processintelligence.solutions
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]