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MIPLearn/tests/fixtures/infeasible.py

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# MIPLearn: Extensible Framework for Learning-Enhanced Mixed-Integer Optimization
# Copyright (C) 2020-2021, UChicago Argonne, LLC. All rights reserved.
# Released under the modified BSD license. See COPYING.md for more details.
from typing import Any
from pyomo import environ as pe
from miplearn.instance import Instance
from miplearn.solvers.gurobi import GurobiSolver
from miplearn.solvers.pyomo.base import BasePyomoSolver
from tests.solvers import _is_subclass_or_instance
class InfeasiblePyomoInstance(Instance):
def to_model(self) -> pe.ConcreteModel:
model = pe.ConcreteModel()
model.x = pe.Var([0], domain=pe.Binary)
model.OBJ = pe.Objective(expr=model.x[0], sense=pe.maximize)
model.eq = pe.Constraint(expr=model.x[0] >= 2)
return model
class InfeasibleGurobiInstance(Instance):
def to_model(self) -> Any:
import gurobipy as gp
from gurobipy import GRB
model = gp.Model()
x = model.addVars(1, vtype=GRB.BINARY, name="x")
model.addConstr(x[0] >= 2)
model.setObjective(x[0])
return model
def get_infeasible_instance(solver):
if _is_subclass_or_instance(solver, BasePyomoSolver):
return InfeasiblePyomoInstance()
if _is_subclass_or_instance(solver, GurobiSolver):
return InfeasibleGurobiInstance()