# Copyright (c) 2022 AIRBUS and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from typing import Any, Dict, List, Sequence, Tuple, Type
from discrete_optimization.generic_tools.cp_tools import CPSolverName
from discrete_optimization.generic_tools.do_problem import Problem
from discrete_optimization.generic_tools.result_storage.result_storage import (
ResultStorage,
)
from discrete_optimization.tsp.solver.solver_lp_iterative import (
LP_TSP_Iterative,
MILPSolver,
)
from discrete_optimization.tsp.solver.solver_ortools import TSP_ORtools
from discrete_optimization.tsp.solver.tsp_cp_solver import TSP_CP_Solver, TSP_CPModel
from discrete_optimization.tsp.solver.tsp_solver import SolverTSP
from discrete_optimization.tsp.tsp_model import (
TSPModel,
TSPModel2D,
TSPModelDistanceMatrix,
)
solvers: Dict[str, List[Tuple[Type[SolverTSP], Dict[str, Any]]]] = {
"lp": [
(
LP_TSP_Iterative,
{"method": MILPSolver.CBC, "nb_iteration_max": 20, "plot": False},
)
],
"ortools": [(TSP_ORtools, {})],
"cp": [
(
TSP_CP_Solver,
{
"model_type": TSP_CPModel.INT_VERSION,
"cp_solver_name": CPSolverName.CHUFFED,
},
)
],
}
solvers_map = {}
for key in solvers:
for solver, param in solvers[key]:
solvers_map[solver] = (key, param)
solvers_compatibility: Dict[Type[SolverTSP], List[Type[Problem]]] = {}
for x in solvers:
for y in solvers[x]:
solvers_compatibility[y[0]] = [TSPModel2D, TSPModelDistanceMatrix]
[docs]
def look_for_solver(domain: TSPModel) -> List[Type[SolverTSP]]:
class_domain = domain.__class__
return look_for_solver_class(class_domain)
[docs]
def look_for_solver_class(class_domain: Type["TSPModel"]) -> List[Type[SolverTSP]]:
available = []
for solver in solvers_compatibility:
if class_domain in solvers_compatibility[solver]:
available += [solver]
return available
[docs]
def solve(method: Type[SolverTSP], problem: TSPModel, **kwargs: Any) -> ResultStorage:
solver = method(problem=problem, **kwargs)
try:
solver.init_model(**kwargs)
except AttributeError:
pass
return solver.solve(**kwargs)
[docs]
def return_solver(
method: Type[SolverTSP], problem: TSPModel, **kwargs: Any
) -> SolverTSP:
solver = method(problem, **kwargs)
try:
solver.init_model(**kwargs)
except:
pass
return solver