Remove deprecated code related to lns

- remove old lns solvers and constraint handlers for rcpsp and rcpsp_multiskill,
  replaced by generic_rcpsp_tools ones
- remove get_solution() in facility cp solver, previously used by lns
  solvers.

discrete_optimization/facility/solvers/facility_cp_solvers.py

@@ -152,28 +152,3 @@ def retrieve_solution(
         """
         facility = kwargs["facility_for_customer"]
         return FacilitySolution(self.problem, [f - 1 for f in facility])
-
-    @deprecated(
-        deprecated_in="0.1", details="Use rather initial solution provider utilities"
-    )
-    def get_solution(self, **kwargs: Any) -> FacilitySolution:
-        greedy_start = kwargs.get("greedy_start", True)
-        if greedy_start:
-            logger.info("Computing greedy solution")
-            greedy_solver = GreedySolverDistanceBased(self.problem)
-            result = greedy_solver.solve()
-            solution = result.get_best_solution()
-            if solution is None:
-                raise RuntimeError(
-                    "greedy_solver.solve().get_best_solution() " "should not be None."
-                )
-            if not isinstance(solution, FacilitySolution):
-                raise RuntimeError(
-                    "greedy_solver.solve().get_best_solution() "
-                    "should be a FacilitySolution."
-                )
-        else:
-            logger.info("Get dummy solution")
-            solution = self.problem.get_dummy_solution()
-        logger.info("Greedy Done")
-        return solution

discrete_optimization/rcpsp/rcpsp_solvers.py

@@ -27,9 +27,6 @@
 )
 from discrete_optimization.rcpsp.rcpsp_model import RCPSPModel
 from discrete_optimization.rcpsp.rcpsp_model_preemptive import RCPSPModelPreemptive
-from discrete_optimization.rcpsp.solver.cp_lns_solver import (
-    LargeNeighborhoodSearchRCPSP,
-)
 from discrete_optimization.rcpsp.solver.cp_solvers import (
     CP_MRCPSP_MZN,
     CP_MRCPSP_MZN_PREEMPTIVE,
@@ -38,7 +35,6 @@
 )
 from discrete_optimization.rcpsp.solver.cpm import CPM
 from discrete_optimization.rcpsp.solver.cpsat_solver import CPSatRCPSPSolver
-from discrete_optimization.rcpsp.solver.rcpsp_cp_lns_solver import LNS_CP_RCPSP_SOLVER
 from discrete_optimization.rcpsp.solver.rcpsp_ga_solver import (
     GA_MRCPSP_Solver,
     GA_RCPSP_Solver,
@@ -115,36 +111,13 @@
             LNS_LP_RCPSP_SOLVER,
             {"nb_iteration_lns": 100, "lp_solver": MilpSolverName.CBC},
         ),
-        (
-            LNS_CP_RCPSP_SOLVER,
-            {"nb_iteration_lns": 100, "nb_iteration_no_improvement": 100},
-        ),
     ],
     "lns-lp": [
         (
             LNS_LP_RCPSP_SOLVER,
             {"nb_iteration_lns": 100, "lp_solver": MilpSolverName.CBC},
         )
     ],
-    "lns-cp": [
-        (
-            LNS_CP_RCPSP_SOLVER,
-            {"nb_iteration_lns": 100, "nb_iteration_no_improvement": 100},
-        )
-    ],
-    "lns-cp-rcpsp": [
-        (
-            LargeNeighborhoodSearchRCPSP,
-            {
-                "nb_iteration_lns": 100,
-                "nb_iteration_no_improvement": 100,
-                "parameters_cp": ParametersCP.default(),
-                "cut_part": 1,
-                "add_objective_makespan": False,
-                "fraction_subproblem": 0.6,
-            },
-        )
-    ],
     "lns-scheduling": [
         (
             LargeNeighborhoodSearchScheduling,
@@ -189,9 +162,6 @@
     LNS_LP_RCPSP_SOLVER: [
         RCPSPModel,
     ],
-    LNS_CP_RCPSP_SOLVER: [
-        RCPSPModel,
-    ],
     LS_RCPSP_Solver: [
         RCPSPModelPreemptive,
         RCPSPModelSpecialConstraintsPreemptive,
@@ -207,11 +177,6 @@
         RCPSPModelSpecialConstraintsPreemptive,
         RCPSPModel,
     ],
-    LargeNeighborhoodSearchRCPSP: [
-        RCPSPModelPreemptive,
-        RCPSPModelSpecialConstraintsPreemptive,
-        RCPSPModel,
-    ],
     LargeNeighborhoodSearchScheduling: [
         RCPSPModelPreemptive,
         RCPSPModelSpecialConstraintsPreemptive,