def test_export_dict_LP_no_obj(self):
prob = LpProblem("test_export_dict_LP_no_obj", const.LpMinimize)
x = LpVariable("x", 0, 4)
y = LpVariable("y", -1, 1)
z = LpVariable("z", 0)
w = LpVariable("w", 0, 0)
prob += x + y >= 5, "c1"
prob += x + z == 10, "c2"
prob += -y + z <= 7, "c3"
prob += w >= 0, "c4"
data = prob.toDict()
var1, prob1 = LpProblem.fromDict(data)
x, y, z, w = [var1[name] for name in ["x", "y", "z", "w"]]
print("\t Testing export dict for LP")
pulpTestCheck(
prob1, self.solver, [const.LpStatusOptimal], {x: 4, y: 1, z: 6, w: 0}
)
def test_export_dict_max(self):
prob = LpProblem("test_export_dict_max", const.LpMaximize)
x = LpVariable("x", 0, 4)
y = LpVariable("y", -1, 1)
z = LpVariable("z", 0)
w = LpVariable("w", 0)
prob += x + 4 * y + 9 * z, "obj"
prob += x + y <= 5, "c1"
prob += x + z >= 10, "c2"
prob += -y + z == 7, "c3"
prob += w >= 0, "c4"
data = prob.toDict()
var1, prob1 = LpProblem.fromDict(data)
x, y, z, w = [var1[name] for name in ["x", "y", "z", "w"]]
print("\t Testing maximize continuous LP solution")
pulpTestCheck(
prob1, self.solver, [const.LpStatusOptimal], {x: 4, y: 1, z: 8, w: 0}
)
def test_export_dict_MIP(self):
import copy
prob = LpProblem("test_export_dict_MIP", const.LpMinimize)
x = LpVariable("x", 0, 4)
y = LpVariable("y", -1, 1)
z = LpVariable("z", 0, None, const.LpInteger)
prob += x + 4 * y + 9 * z, "obj"
prob += x + y <= 5, "c1"
prob += x + z >= 10, "c2"
prob += -y + z == 7.5, "c3"
data = prob.toDict()
data_backup = copy.deepcopy(data)
var1, prob1 = LpProblem.fromDict(data)
x, y, z = [var1[name] for name in ["x", "y", "z"]]
print("\t Testing export dict MIP")
pulpTestCheck(
prob1, self.solver, [const.LpStatusOptimal], {x: 3, y: -0.5, z: 7}
)
# we also test that we have not modified the dictionary when importing it
self.assertDictEqual(data, data_backup)
