def test_linear_inequality_to_penalty4(self):
"""Test special constraint to penalty x1+x2+x3+... <= 1 -> P(x1*x2+x1*x3+...)"""
op = QuadraticProgram()
lip = LinearInequalityToPenalty()
op.binary_var(name="x")
op.binary_var(name="y")
op.binary_var(name="z")
# Linear constraints
linear_constraint = {"x": 1, "y": 1, "z": 1}
op.linear_constraint(linear_constraint, Constraint.Sense.LE, 1,
"P(xy+yz+zx)")
# Test with no max/min
with self.subTest("No max/min"):
self.assertEqual(op.get_num_linear_constraints(), 1)
penalty = 1
quadratic = {
("x", "y"): penalty,
("x", "z"): penalty,
("y", "z"): penalty
}
op2 = lip.convert(op)
qdct = op2.objective.quadratic.to_dict(use_name=True)
self.assertEqual(qdct, quadratic)
self.assertEqual(op2.get_num_linear_constraints(), 0)
# Test maximize
op = QuadraticProgram()
op.binary_var_list(5)
linear2 = [1, 1, 0, 0, 0]
op.maximize(linear=linear2)
op.linear_constraint([1, 1, 1, 1, 1], Constraint.Sense.LE, 1, "")
with self.subTest("Maximum"):
self.assertEqual(op.get_num_linear_constraints(), 1)
lip.penalty = 5
quadratic2 = [
[0, 1, 1, 1, 1],
[0, 0, 1, 1, 1],
[0, 0, 0, 1, 1],
[0, 0, 0, 0, 1],
[0, 0, 0, 0, 0],
]
op2 = lip.convert(op)
ldct2 = op2.objective.linear.to_array()
qdct2 = op2.objective.quadratic.to_array() / lip.penalty * -1
self.assertEqual(ldct2.tolist(), linear2)
self.assertEqual(qdct2.tolist(), quadratic2)
self.assertEqual(op2.get_num_linear_constraints(), 0)
def test_integer_to_binary2(self):
"""Test integer to binary variables 2"""
mod = QuadraticProgram()
mod.integer_var(name="x", lowerbound=0, upperbound=1)
mod.integer_var(name="y", lowerbound=0, upperbound=1)
mod.minimize(1, {"x": 1}, {("x", "y"): 2})
mod.linear_constraint({"x": 1}, "==", 1)
mod.quadratic_constraint({"x": 1}, {("x", "y"): 2}, "==", 1)
mod2 = IntegerToBinary().convert(mod)
self.assertListEqual([e.name + "@0" for e in mod.variables],
[e.name for e in mod2.variables])
self.assertDictEqual(mod.objective.linear.to_dict(),
mod2.objective.linear.to_dict())
self.assertDictEqual(mod.objective.quadratic.to_dict(),
mod2.objective.quadratic.to_dict())
self.assertEqual(mod.get_num_linear_constraints(),
mod2.get_num_linear_constraints())
for cst, cst2 in zip(mod.linear_constraints, mod2.linear_constraints):
self.assertDictEqual(cst.linear.to_dict(), cst2.linear.to_dict())
self.assertEqual(mod.get_num_quadratic_constraints(),
mod2.get_num_quadratic_constraints())
for cst, cst2 in zip(mod.quadratic_constraints,
mod2.quadratic_constraints):
self.assertDictEqual(cst.linear.to_dict(), cst2.linear.to_dict())
self.assertDictEqual(cst.quadratic.to_dict(),
cst2.quadratic.to_dict())
def test_linear_inequality_to_penalty3(self):
"""Test special constraint to penalty x1+x2+x3+... >= n-1 -> P(x1*x2+x1*x3+...)"""
op = QuadraticProgram()
lip = LinearInequalityToPenalty()
op.binary_var_list(5)
# Linear constraints
n = 5
op.linear_constraint([1, 1, 1, 1, 1], Constraint.Sense.GE, n - 1, "")
# Test with no max/min
with self.subTest("No max/min"):
self.assertEqual(op.get_num_linear_constraints(), 1)
penalty = 5
lip.penalty = penalty
constant = 10
linear = [n - 1, n - 1, n - 1, n - 1, n - 1]
quadratic = [
[0, 1, 1, 1, 1],
[0, 0, 1, 1, 1],
[0, 0, 0, 1, 1],
[0, 0, 0, 0, 1],
[0, 0, 0, 0, 0],
]
op2 = lip.convert(op)
cnst2 = op2.objective.constant / penalty
ldct2 = op2.objective.linear.to_array() / penalty * -1
qdct2 = op2.objective.quadratic.to_array() / penalty
self.assertEqual(cnst2, constant)
self.assertEqual(ldct2.tolist(), linear)
self.assertEqual(qdct2.tolist(), quadratic)
self.assertEqual(op2.get_num_linear_constraints(), 0)
def test_ising_to_quadraticprogram_quadratic(self):
"""Test optimization problem to operators with linear=False"""
op = QUBIT_OP_MAXIMIZE_SAMPLE
offset = OFFSET_MAXIMIZE_SAMPLE
quadratic = QuadraticProgram()
quadratic.from_ising(op, offset, linear=False)
self.assertEqual(quadratic.get_num_vars(), 4)
self.assertEqual(quadratic.get_num_linear_constraints(), 0)
self.assertEqual(quadratic.get_num_quadratic_constraints(), 0)
self.assertEqual(quadratic.objective.sense,
quadratic.objective.Sense.MINIMIZE)
self.assertAlmostEqual(quadratic.objective.constant, 900000)
quadratic_matrix = np.zeros((4, 4))
quadratic_matrix[0, 0] = -500001
quadratic_matrix[0, 1] = 400000
quadratic_matrix[0, 2] = 600000
quadratic_matrix[0, 3] = 800000
quadratic_matrix[1, 1] = -800001
quadratic_matrix[1, 2] = 1200000
quadratic_matrix[1, 3] = 1600000
quadratic_matrix[2, 2] = -900001
quadratic_matrix[2, 3] = 2400000
quadratic_matrix[3, 3] = -800001
np.testing.assert_array_almost_equal(
quadratic.objective.quadratic.coefficients.toarray(),
quadratic_matrix)
def test_constructor(self):
"""test constructor"""
quadratic_program = QuadraticProgram()
self.assertEqual(quadratic_program.name, "")
self.assertEqual(quadratic_program.status, QuadraticProgram.Status.VALID)
self.assertEqual(quadratic_program.get_num_vars(), 0)
self.assertEqual(quadratic_program.get_num_linear_constraints(), 0)
self.assertEqual(quadratic_program.get_num_quadratic_constraints(), 0)
self.assertEqual(quadratic_program.objective.constant, 0)
self.assertDictEqual(quadratic_program.objective.linear.to_dict(), {})
self.assertDictEqual(quadratic_program.objective.quadratic.to_dict(), {})
def test_linear_inequality_to_penalty7(self):
"""Test special constraint to penalty 6 x-y >= 0 -> P(y-x*y)"""
op = QuadraticProgram()
lip = LinearInequalityToPenalty()
op.binary_var(name="x")
op.binary_var(name="y")
# Linear constraints
linear_constraint = {"x": 1, "y": -1}
op.linear_constraint(linear_constraint, Constraint.Sense.GE, 0,
"P(y-xy)")
# Test with no max/min
with self.subTest("No max/min"):
self.assertEqual(op.get_num_linear_constraints(), 1)
penalty = 1
linear = {"y": penalty}
quadratic = {("x", "y"): -1 * penalty}
op2 = lip.convert(op)
ldct = op2.objective.linear.to_dict(use_name=True)
qdct = op2.objective.quadratic.to_dict(use_name=True)
self.assertEqual(ldct, linear)
self.assertEqual(qdct, quadratic)
self.assertEqual(op2.get_num_linear_constraints(), 0)
# Test maximize
with self.subTest("Maximize"):
linear = {"x": 2, "y": 1}
op.maximize(linear=linear)
penalty = 4
linear["y"] = linear["y"] - penalty
quadratic = {("x", "y"): penalty}
op2 = lip.convert(op)
ldct = op2.objective.linear.to_dict(use_name=True)
qdct = op2.objective.quadratic.to_dict(use_name=True)
self.assertEqual(ldct, linear)
self.assertEqual(qdct, quadratic)
self.assertEqual(op2.get_num_linear_constraints(), 0)
# Test minimize
with self.subTest("Minimize"):
linear = {"x": 2, "y": 1}
op.minimize(linear={"x": 2, "y": 1})
penalty = 4
linear["y"] = linear["y"] + penalty
quadratic = {("x", "y"): -1 * penalty}
op2 = lip.convert(op)
ldct = op2.objective.linear.to_dict(use_name=True)
qdct = op2.objective.quadratic.to_dict(use_name=True)
self.assertEqual(ldct, linear)
self.assertEqual(qdct, quadratic)
self.assertEqual(op2.get_num_linear_constraints(), 0)
def test_penalize_sense(self):
"""Test PenalizeLinearEqualityConstraints with senses"""
op = QuadraticProgram()
for i in range(3):
op.binary_var(name="x{}".format(i))
# Linear constraints
linear_constraint = {"x0": 1, "x1": 1}
op.linear_constraint(linear_constraint, Constraint.Sense.EQ, 1, "x0x1")
linear_constraint = {"x1": 1, "x2": -1}
op.linear_constraint(linear_constraint, Constraint.Sense.LE, 2, "x1x2")
linear_constraint = {"x0": 1, "x2": 3}
op.linear_constraint(linear_constraint, Constraint.Sense.GE, 2, "x0x2")
self.assertEqual(op.get_num_linear_constraints(), 3)
conv = LinearEqualityToPenalty()
with self.assertRaises(QiskitOptimizationError):
conv.convert(op)
def test_clear(self):
"""test clear"""
q_p = QuadraticProgram("test")
q_p.binary_var("x")
q_p.binary_var("y")
q_p.minimize(constant=1, linear={"x": 1, "y": 2}, quadratic={("x", "x"): 1})
q_p.linear_constraint({"x": 1}, "==", 1)
q_p.quadratic_constraint({"x": 1}, {("y", "y"): 2}, "<=", 1)
q_p.clear()
self.assertEqual(q_p.name, "")
self.assertEqual(q_p.status, QuadraticProgram.Status.VALID)
self.assertEqual(q_p.get_num_vars(), 0)
self.assertEqual(q_p.get_num_linear_constraints(), 0)
self.assertEqual(q_p.get_num_quadratic_constraints(), 0)
self.assertEqual(q_p.objective.constant, 0)
self.assertDictEqual(q_p.objective.linear.to_dict(), {})
self.assertDictEqual(q_p.objective.quadratic.to_dict(), {})
def test_penalize_binary(self):
"""Test PenalizeLinearEqualityConstraints with binary variables"""
op = QuadraticProgram()
for i in range(3):
op.binary_var(name="x{}".format(i))
# Linear constraints
linear_constraint = {"x0": 1, "x1": 1}
op.linear_constraint(linear_constraint, Constraint.Sense.EQ, 1, "x0x1")
linear_constraint = {"x1": 1, "x2": -1}
op.linear_constraint(linear_constraint, Constraint.Sense.EQ, 2, "x1x2")
linear_constraint = {"x0": 1, "x2": 3}
op.linear_constraint(linear_constraint, Constraint.Sense.EQ, 2, "x0x2")
self.assertEqual(op.get_num_linear_constraints(), 3)
conv = LinearEqualityToPenalty()
op2 = conv.convert(op)
self.assertEqual(op2.get_num_linear_constraints(), 0)
new_x = conv.interpret(np.arange(3))
np.testing.assert_array_almost_equal(new_x, np.arange(3))
def test_penalize_integer(self):
"""Test PenalizeLinearEqualityConstraints with integer variables"""
op = QuadraticProgram()
for i in range(3):
op.integer_var(name="x{}".format(i), lowerbound=-3, upperbound=3)
# Linear constraints
linear_constraint = {"x0": 1, "x1": 1}
op.linear_constraint(linear_constraint, Constraint.Sense.EQ, 1, "x0x1")
linear_constraint = {"x1": 1, "x2": -1}
op.linear_constraint(linear_constraint, Constraint.Sense.EQ, 2, "x1x2")
linear_constraint = {"x0": 1, "x2": -1}
op.linear_constraint(linear_constraint, Constraint.Sense.EQ, 1, "x0x2")
op.minimize(constant=3, linear={"x0": 1}, quadratic={("x1", "x2"): 2})
self.assertEqual(op.get_num_linear_constraints(), 3)
conv = LinearEqualityToPenalty()
op2 = conv.convert(op)
self.assertEqual(op2.get_num_linear_constraints(), 0)
new_x = conv.interpret([0, 1, -1])
np.testing.assert_array_almost_equal(new_x, [0, 1, -1])
def test_integer_to_binary_quadratic(self):
"""Test integer to binary variables with quadratic expressions"""
mod = QuadraticProgram()
mod.integer_var(name="x", lowerbound=10, upperbound=13)
mod.minimize(quadratic={("x", "x"): 1})
mod2 = IntegerToBinary().convert(mod)
self.assertListEqual([e.name for e in mod2.variables], ["x@0", "x@1"])
self.assertEqual(mod.get_num_linear_constraints(), 0)
self.assertEqual(mod.get_num_quadratic_constraints(), 0)
self.assertAlmostEqual(mod2.objective.constant, 100)
self.assertDictEqual(mod2.objective.linear.to_dict(use_name=True), {
"x@0": 20,
"x@1": 40
})
self.assertDictEqual(
mod2.objective.quadratic.to_dict(use_name=True),
{
("x@0", "x@0"): 1,
("x@1", "x@1"): 4,
("x@0", "x@1"): 4
},
)
def test_clear(self):
""" test clear """
q_p = QuadraticProgram('test')
q_p.binary_var('x')
q_p.binary_var('y')
q_p.minimize(constant=1,
linear={
'x': 1,
'y': 2
},
quadratic={('x', 'x'): 1})
q_p.linear_constraint({'x': 1}, '==', 1)
q_p.quadratic_constraint({'x': 1}, {('y', 'y'): 2}, '<=', 1)
q_p.clear()
self.assertEqual(q_p.name, '')
self.assertEqual(q_p.status, QuadraticProgram.Status.VALID)
self.assertEqual(q_p.get_num_vars(), 0)
self.assertEqual(q_p.get_num_linear_constraints(), 0)
self.assertEqual(q_p.get_num_quadratic_constraints(), 0)
self.assertEqual(q_p.objective.constant, 0)
self.assertDictEqual(q_p.objective.linear.to_dict(), {})
self.assertDictEqual(q_p.objective.quadratic.to_dict(), {})
def test_init(self):
""" test init. """
quadratic_program = QuadraticProgram()
for _ in range(5):
quadratic_program.continuous_var()
self.assertEqual(quadratic_program.get_num_linear_constraints(), 0)
coefficients = np.array(range(5))
# equality constraints
quadratic_program.linear_constraint(sense='==')
self.assertEqual(quadratic_program.get_num_linear_constraints(), 1)
self.assertEqual(quadratic_program.linear_constraints[0].name, 'c0')
self.assertEqual(
len(quadratic_program.linear_constraints[0].linear.to_dict()), 0)
self.assertEqual(quadratic_program.linear_constraints[0].sense,
Constraint.Sense.EQ)
self.assertEqual(quadratic_program.linear_constraints[0].rhs, 0.0)
self.assertEqual(quadratic_program.linear_constraints[0],
quadratic_program.get_linear_constraint('c0'))
self.assertEqual(quadratic_program.linear_constraints[0],
quadratic_program.get_linear_constraint(0))
with self.assertRaises(QiskitOptimizationError):
quadratic_program.linear_constraint(name='c0')
quadratic_program.linear_constraint(coefficients, '==', 1.0, 'c1')
self.assertEqual(quadratic_program.get_num_linear_constraints(), 2)
self.assertEqual(quadratic_program.linear_constraints[1].name, 'c1')
self.assertTrue(
(quadratic_program.linear_constraints[1].linear.to_array() ==
coefficients).all())
self.assertEqual(quadratic_program.linear_constraints[1].sense,
Constraint.Sense.EQ)
self.assertEqual(quadratic_program.linear_constraints[1].rhs, 1.0)
self.assertEqual(quadratic_program.linear_constraints[1],
quadratic_program.get_linear_constraint('c1'))
self.assertEqual(quadratic_program.linear_constraints[1],
quadratic_program.get_linear_constraint(1))
# geq constraints
quadratic_program.linear_constraint(sense='>=')
self.assertEqual(quadratic_program.get_num_linear_constraints(), 3)
self.assertEqual(quadratic_program.linear_constraints[2].name, 'c2')
self.assertEqual(
len(quadratic_program.linear_constraints[2].linear.to_dict()), 0)
self.assertEqual(quadratic_program.linear_constraints[2].sense,
Constraint.Sense.GE)
self.assertEqual(quadratic_program.linear_constraints[2].rhs, 0.0)
self.assertEqual(quadratic_program.linear_constraints[2],
quadratic_program.get_linear_constraint('c2'))
self.assertEqual(quadratic_program.linear_constraints[2],
quadratic_program.get_linear_constraint(2))
with self.assertRaises(QiskitOptimizationError):
quadratic_program.linear_constraint(name='c2', sense='>=')
quadratic_program.linear_constraint(coefficients, '>=', 1.0, 'c3')
self.assertEqual(quadratic_program.get_num_linear_constraints(), 4)
self.assertEqual(quadratic_program.linear_constraints[3].name, 'c3')
self.assertTrue(
(quadratic_program.linear_constraints[3].linear.to_array() ==
coefficients).all())
self.assertEqual(quadratic_program.linear_constraints[3].sense,
Constraint.Sense.GE)
self.assertEqual(quadratic_program.linear_constraints[3].rhs, 1.0)
self.assertEqual(quadratic_program.linear_constraints[3],
quadratic_program.get_linear_constraint('c3'))
self.assertEqual(quadratic_program.linear_constraints[3],
quadratic_program.get_linear_constraint(3))
# leq constraints
quadratic_program.linear_constraint(sense='<=')
self.assertEqual(quadratic_program.get_num_linear_constraints(), 5)
self.assertEqual(quadratic_program.linear_constraints[4].name, 'c4')
self.assertEqual(
len(quadratic_program.linear_constraints[4].linear.to_dict()), 0)
self.assertEqual(quadratic_program.linear_constraints[4].sense,
Constraint.Sense.LE)
self.assertEqual(quadratic_program.linear_constraints[4].rhs, 0.0)
self.assertEqual(quadratic_program.linear_constraints[4],
quadratic_program.get_linear_constraint('c4'))
self.assertEqual(quadratic_program.linear_constraints[4],
quadratic_program.get_linear_constraint(4))
with self.assertRaises(QiskitOptimizationError):
quadratic_program.linear_constraint(name='c4', sense='<=')
quadratic_program.linear_constraint(coefficients, '<=', 1.0, 'c5')
self.assertEqual(quadratic_program.get_num_linear_constraints(), 6)
self.assertEqual(quadratic_program.linear_constraints[5].name, 'c5')
self.assertTrue(
(quadratic_program.linear_constraints[5].linear.to_array() ==
coefficients).all())
self.assertEqual(quadratic_program.linear_constraints[5].sense,
Constraint.Sense.LE)
self.assertEqual(quadratic_program.linear_constraints[5].rhs, 1.0)
self.assertEqual(quadratic_program.linear_constraints[5],
quadratic_program.get_linear_constraint('c5'))
self.assertEqual(quadratic_program.linear_constraints[5],
quadratic_program.get_linear_constraint(5))
class TestLinearConstraint(QiskitOptimizationTestCase):
"""Test LinearConstraint."""
def setUp(self) -> None:
super().setUp()
self.quadratic_program = QuadraticProgram()
self.quadratic_program.binary_var_list(3, name="x")
self.quadratic_program.linear_constraint({"x0": 1, "x1": -2}, "<=", 1)
self.quadratic_program.linear_constraint({"x0": 1, "x1": -2}, "<", 1)
self.quadratic_program.linear_constraint({"x0": 1, "x1": -2}, "LE", 1)
self.quadratic_program.linear_constraint({"x0": 1, "x1": -2}, "L", 1)
self.quadratic_program.linear_constraint({"x0": -1, "x1": 2}, "==", 2)
self.quadratic_program.linear_constraint({"x0": -1, "x1": 2}, "=", 2)
self.quadratic_program.linear_constraint({"x0": -1, "x1": 2}, "EQ", 2)
self.quadratic_program.linear_constraint({"x0": -1, "x1": 2}, "E", 2)
self.quadratic_program.linear_constraint({"x1": 2, "x2": -1}, ">=", 3)
self.quadratic_program.linear_constraint({"x1": 2, "x2": -1}, ">", 3)
self.quadratic_program.linear_constraint({"x1": 2, "x2": -1}, "GE", 3)
self.quadratic_program.linear_constraint({"x1": 2, "x2": -1}, "G", 3)
def test_init(self):
"""test init."""
quadratic_program = QuadraticProgram()
for _ in range(5):
quadratic_program.continuous_var()
self.assertEqual(quadratic_program.get_num_linear_constraints(), 0)
coefficients = np.array(range(5))
# equality constraints
quadratic_program.linear_constraint(sense="==")
self.assertEqual(quadratic_program.get_num_linear_constraints(), 1)
self.assertEqual(quadratic_program.linear_constraints[0].name, "c0")
self.assertEqual(
len(quadratic_program.linear_constraints[0].linear.to_dict()), 0)
self.assertEqual(quadratic_program.linear_constraints[0].sense,
Constraint.Sense.EQ)
self.assertEqual(quadratic_program.linear_constraints[0].rhs, 0.0)
self.assertEqual(
quadratic_program.linear_constraints[0],
quadratic_program.get_linear_constraint("c0"),
)
self.assertEqual(
quadratic_program.linear_constraints[0],
quadratic_program.get_linear_constraint(0),
)
with self.assertRaises(QiskitOptimizationError):
quadratic_program.linear_constraint(name="c0")
quadratic_program.linear_constraint(coefficients, "==", 1.0, "c1")
self.assertEqual(quadratic_program.get_num_linear_constraints(), 2)
self.assertEqual(quadratic_program.linear_constraints[1].name, "c1")
self.assertTrue(
(quadratic_program.linear_constraints[1].linear.to_array() ==
coefficients).all())
self.assertEqual(quadratic_program.linear_constraints[1].sense,
Constraint.Sense.EQ)
self.assertEqual(quadratic_program.linear_constraints[1].rhs, 1.0)
self.assertEqual(
quadratic_program.linear_constraints[1],
quadratic_program.get_linear_constraint("c1"),
)
self.assertEqual(
quadratic_program.linear_constraints[1],
quadratic_program.get_linear_constraint(1),
)
# geq constraints
quadratic_program.linear_constraint(sense=">=")
self.assertEqual(quadratic_program.get_num_linear_constraints(), 3)
self.assertEqual(quadratic_program.linear_constraints[2].name, "c2")
self.assertEqual(
len(quadratic_program.linear_constraints[2].linear.to_dict()), 0)
self.assertEqual(quadratic_program.linear_constraints[2].sense,
Constraint.Sense.GE)
self.assertEqual(quadratic_program.linear_constraints[2].rhs, 0.0)
self.assertEqual(
quadratic_program.linear_constraints[2],
quadratic_program.get_linear_constraint("c2"),
)
self.assertEqual(
quadratic_program.linear_constraints[2],
quadratic_program.get_linear_constraint(2),
)
with self.assertRaises(QiskitOptimizationError):
quadratic_program.linear_constraint(name="c2", sense=">=")
quadratic_program.linear_constraint(coefficients, ">=", 1.0, "c3")
self.assertEqual(quadratic_program.get_num_linear_constraints(), 4)
self.assertEqual(quadratic_program.linear_constraints[3].name, "c3")
self.assertTrue(
(quadratic_program.linear_constraints[3].linear.to_array() ==
coefficients).all())
self.assertEqual(quadratic_program.linear_constraints[3].sense,
Constraint.Sense.GE)
self.assertEqual(quadratic_program.linear_constraints[3].rhs, 1.0)
self.assertEqual(
quadratic_program.linear_constraints[3],
quadratic_program.get_linear_constraint("c3"),
)
self.assertEqual(
quadratic_program.linear_constraints[3],
quadratic_program.get_linear_constraint(3),
)
# leq constraints
quadratic_program.linear_constraint(sense="<=")
self.assertEqual(quadratic_program.get_num_linear_constraints(), 5)
self.assertEqual(quadratic_program.linear_constraints[4].name, "c4")
self.assertEqual(
len(quadratic_program.linear_constraints[4].linear.to_dict()), 0)
self.assertEqual(quadratic_program.linear_constraints[4].sense,
Constraint.Sense.LE)
self.assertEqual(quadratic_program.linear_constraints[4].rhs, 0.0)
self.assertEqual(
quadratic_program.linear_constraints[4],
quadratic_program.get_linear_constraint("c4"),
)
self.assertEqual(
quadratic_program.linear_constraints[4],
quadratic_program.get_linear_constraint(4),
)
with self.assertRaises(QiskitOptimizationError):
quadratic_program.linear_constraint(name="c4", sense="<=")
quadratic_program.linear_constraint(coefficients, "<=", 1.0, "c5")
self.assertEqual(quadratic_program.get_num_linear_constraints(), 6)
self.assertEqual(quadratic_program.linear_constraints[5].name, "c5")
self.assertTrue(
(quadratic_program.linear_constraints[5].linear.to_array() ==
coefficients).all())
self.assertEqual(quadratic_program.linear_constraints[5].sense,
Constraint.Sense.LE)
self.assertEqual(quadratic_program.linear_constraints[5].rhs, 1.0)
self.assertEqual(
quadratic_program.linear_constraints[5],
quadratic_program.get_linear_constraint("c5"),
)
self.assertEqual(
quadratic_program.linear_constraints[5],
quadratic_program.get_linear_constraint(5),
)
def test_str(self):
"""Test str"""
self.assertEqual(self.quadratic_program.get_num_linear_constraints(),
12)
for i in range(0, 4):
self.assertEqual(
str(self.quadratic_program.get_linear_constraint(i)),
f"x0 - 2*x1 <= 1 'c{i}'")
for i in range(4, 8):
self.assertEqual(
str(self.quadratic_program.get_linear_constraint(i)),
f"-x0 + 2*x1 == 2 'c{i}'")
for i in range(8, 12):
self.assertEqual(
str(self.quadratic_program.get_linear_constraint(i)),
f"2*x1 - x2 >= 3 'c{i}'")
def test_repr(self):
"""Test repr"""
self.assertEqual(self.quadratic_program.get_num_linear_constraints(),
12)
for i in range(0, 4):
self.assertEqual(
repr(self.quadratic_program.get_linear_constraint(i)),
f"<LinearConstraint: x0 - 2*x1 <= 1 'c{i}'>",
)
for i in range(4, 8):
self.assertEqual(
repr(self.quadratic_program.get_linear_constraint(i)),
f"<LinearConstraint: -x0 + 2*x1 == 2 'c{i}'>",
)
for i in range(8, 12):
self.assertEqual(
repr(self.quadratic_program.get_linear_constraint(i)),
f"<LinearConstraint: 2*x1 - x2 >= 3 'c{i}'>",
)
def test_linear_inequality_to_penalty1(self):
"""Test special constraint to penalty x+y <= 1 -> P(x*y)"""
op = QuadraticProgram()
lip = LinearInequalityToPenalty()
op.binary_var(name="x")
op.binary_var(name="y")
# Linear constraints
linear_constraint = {"x": 1, "y": 1}
op.linear_constraint(linear_constraint, Constraint.Sense.LE, 1,
"P(xy)")
# Test with no max/min
with self.subTest("No max/min"):
self.assertEqual(op.get_num_linear_constraints(), 1)
lip.penalty = 1
quadratic = {("x", "y"): lip.penalty}
op2 = lip.convert(op)
qdct = op2.objective.quadratic.to_dict(use_name=True)
self.assertEqual(qdct, quadratic)
self.assertEqual(op2.get_num_linear_constraints(), 0)
# Test maximize
with self.subTest("Maximize"):
linear = {"x": 2, "y": 1}
op.maximize(linear=linear)
lip.penalty = 5
quadratic = {("x", "y"): -1 * lip.penalty}
op2 = lip.convert(op)
ldct = op2.objective.linear.to_dict(use_name=True)
qdct = op2.objective.quadratic.to_dict(use_name=True)
self.assertEqual(ldct, linear)
self.assertEqual(qdct, quadratic)
self.assertEqual(op2.get_num_linear_constraints(), 0)
# Test minimize
with self.subTest("Minimize"):
linear = {"x": 2, "y": 1}
op.minimize(linear=linear)
lip.penalty = 5
quadratic = {("x", "y"): lip.penalty}
op2 = lip.convert(op)
ldct = op2.objective.linear.to_dict(use_name=True)
qdct = op2.objective.quadratic.to_dict(use_name=True)
self.assertEqual(ldct, linear)
self.assertEqual(qdct, quadratic)
self.assertEqual(op2.get_num_linear_constraints(), 0)
# Test combination
with self.subTest("Combination"):
op = QuadraticProgram()
lip = LinearInequalityToPenalty()
op.binary_var(name="x")
op.binary_var(name="y")
op.binary_var(name="z")
op.binary_var(name="w")
linear = {"x": 2, "y": 1, "z": -1, "w": 1}
quadratic = {("y", "z"): -2, ("w", "w"): 1}
op.minimize(linear=linear, quadratic=quadratic)
linear_constraint = {"x": 1, "w": 1}
op.linear_constraint(linear_constraint, Constraint.Sense.LE, 1,
"P(xw)")
linear_constraint = {"y": 1, "z": 1}
op.linear_constraint(linear_constraint, Constraint.Sense.LE, 1,
"P(yz)")
linear_constraint = {"y": 2, "z": 1}
op.linear_constraint(linear_constraint, Constraint.Sense.EQ, 1,
"None 1")
quadratic_constraint = {("x", "x"): -2, ("y", "w"): 1}
op.quadratic_constraint(linear_constraint, quadratic_constraint,
Constraint.Sense.LE, 1, "None 2")
lip.penalty = 5
op2 = lip.convert(op)
quadratic[("x", "w")] = lip.penalty
quadratic[("y", "z")] = quadratic[("y", "z")] + lip.penalty
ldct = op2.objective.linear.to_dict(use_name=True)
qdct = op2.objective.quadratic.to_dict(use_name=True)
self.assertEqual(ldct, linear)
self.assertEqual(qdct, quadratic)
self.assertEqual(op2.get_num_linear_constraints(), 1)
self.assertEqual(op2.get_num_quadratic_constraints(), 1)
def test_integer_to_binary_zero_range_variable(self):
"""Test integer to binary variables with zero range variables"""
with self.subTest(
"zero range variable in a linear expression of the objective"):
mod = QuadraticProgram()
mod.integer_var(name="x", lowerbound=10, upperbound=10)
mod.minimize(linear={"x": 1})
mod2 = IntegerToBinary().convert(mod)
self.assertListEqual([e.name for e in mod2.variables], ["x@0"])
self.assertEqual(mod.get_num_linear_constraints(), 0)
self.assertEqual(mod.get_num_quadratic_constraints(), 0)
self.assertAlmostEqual(mod2.objective.constant, 10)
self.assertDictEqual(mod2.objective.linear.to_dict(), {})
self.assertDictEqual(mod2.objective.quadratic.to_dict(), {})
with self.subTest(
"zero range variable in a quadratic expression of the objective"
):
mod = QuadraticProgram()
mod.integer_var(name="x", lowerbound=10, upperbound=10)
mod.minimize(quadratic={("x", "x"): 1})
mod2 = IntegerToBinary().convert(mod)
self.assertListEqual([e.name for e in mod2.variables], ["x@0"])
self.assertEqual(mod.get_num_linear_constraints(), 0)
self.assertEqual(mod.get_num_quadratic_constraints(), 0)
self.assertAlmostEqual(mod2.objective.constant, 100)
self.assertDictEqual(mod2.objective.linear.to_dict(), {})
self.assertDictEqual(mod2.objective.quadratic.to_dict(), {})
with self.subTest("zero range variable in a linear constraint"):
mod = QuadraticProgram()
mod.integer_var(name="x", lowerbound=10, upperbound=10)
mod.binary_var(name="y")
mod.linear_constraint({"x": 1, "y": 1}, "<=", 100)
mod2 = IntegerToBinary().convert(mod)
self.assertListEqual([e.name for e in mod2.variables],
["x@0", "y"])
self.assertEqual(mod.get_num_linear_constraints(), 1)
self.assertEqual(mod.get_num_quadratic_constraints(), 0)
self.assertAlmostEqual(mod2.objective.constant, 0)
self.assertDictEqual(mod2.objective.linear.to_dict(), {})
self.assertDictEqual(mod2.objective.quadratic.to_dict(), {})
cst = mod2.get_linear_constraint(0)
self.assertDictEqual(cst.linear.to_dict(use_name=True), {"y": 1})
self.assertEqual(cst.sense, Constraint.Sense.LE)
self.assertAlmostEqual(cst.rhs, 90)
self.assertEqual(cst.name, "c0")
with self.subTest("zero range variable in a quadratic constraint"):
mod = QuadraticProgram()
mod.integer_var(name="x", lowerbound=10, upperbound=10)
mod.binary_var(name="y")
mod.quadratic_constraint({"x": 1}, {
("x", "x"): 2,
("x", "y"): 3
}, ">=", 100)
mod2 = IntegerToBinary().convert(mod)
self.assertListEqual([e.name for e in mod2.variables],
["x@0", "y"])
self.assertEqual(mod.get_num_linear_constraints(), 0)
self.assertEqual(mod.get_num_quadratic_constraints(), 1)
self.assertAlmostEqual(mod2.objective.constant, 0)
self.assertDictEqual(mod2.objective.linear.to_dict(), {})
self.assertDictEqual(mod2.objective.quadratic.to_dict(), {})
cst = mod2.get_quadratic_constraint(0)
self.assertDictEqual(cst.linear.to_dict(use_name=True), {"y": 30})
self.assertEqual(cst.sense, Constraint.Sense.GE)
self.assertAlmostEqual(cst.rhs, -110)
self.assertEqual(cst.name, "q0")
def test_linear_constraints_handling(self):
"""test linear constraints handling"""
q_p = QuadraticProgram()
q_p.binary_var("x")
q_p.binary_var("y")
q_p.binary_var("z")
q_p.linear_constraint({"x": 1}, "==", 1)
q_p.linear_constraint({"y": 1}, "<=", 1)
q_p.linear_constraint({"z": 1}, ">=", 1)
self.assertEqual(q_p.get_num_linear_constraints(), 3)
lin = q_p.linear_constraints
self.assertEqual(len(lin), 3)
self.assertDictEqual(lin[0].linear.to_dict(), {0: 1})
self.assertDictEqual(lin[0].linear.to_dict(use_name=True), {"x": 1})
self.assertListEqual(lin[0].linear.to_array().tolist(), [1, 0, 0])
self.assertEqual(lin[0].sense, Constraint.Sense.EQ)
self.assertEqual(lin[0].rhs, 1)
self.assertEqual(lin[0].name, "c0")
self.assertEqual(q_p.get_linear_constraint(0).name, "c0")
self.assertEqual(q_p.get_linear_constraint("c0").name, "c0")
self.assertDictEqual(lin[1].linear.to_dict(), {1: 1})
self.assertDictEqual(lin[1].linear.to_dict(use_name=True), {"y": 1})
self.assertListEqual(lin[1].linear.to_array().tolist(), [0, 1, 0])
self.assertEqual(lin[1].sense, Constraint.Sense.LE)
self.assertEqual(lin[1].rhs, 1)
self.assertEqual(lin[1].name, "c1")
self.assertEqual(q_p.get_linear_constraint(1).name, "c1")
self.assertEqual(q_p.get_linear_constraint("c1").name, "c1")
self.assertDictEqual(lin[2].linear.to_dict(), {2: 1})
self.assertDictEqual(lin[2].linear.to_dict(use_name=True), {"z": 1})
self.assertListEqual(lin[2].linear.to_array().tolist(), [0, 0, 1])
self.assertEqual(lin[2].sense, Constraint.Sense.GE)
self.assertEqual(lin[2].rhs, 1)
self.assertEqual(lin[2].name, "c2")
self.assertEqual(q_p.get_linear_constraint(2).name, "c2")
self.assertEqual(q_p.get_linear_constraint("c2").name, "c2")
with self.assertRaises(QiskitOptimizationError):
q_p.linear_constraint(name="c0")
with self.assertRaises(QiskitOptimizationError):
q_p.linear_constraint(name="c1")
with self.assertRaises(QiskitOptimizationError):
q_p.linear_constraint(name="c2")
with self.assertRaises(IndexError):
q_p.get_linear_constraint(4)
with self.assertRaises(KeyError):
q_p.get_linear_constraint("c3")
q_p.remove_linear_constraint("c1")
lin = q_p.linear_constraints
self.assertEqual(len(lin), 2)
self.assertDictEqual(lin[1].linear.to_dict(), {2: 1})
self.assertDictEqual(lin[1].linear.to_dict(use_name=True), {"z": 1})
self.assertListEqual(lin[1].linear.to_array().tolist(), [0, 0, 1])
self.assertEqual(lin[1].sense, Constraint.Sense.GE)
self.assertEqual(lin[1].rhs, 1)
self.assertEqual(lin[1].name, "c2")
self.assertEqual(q_p.get_linear_constraint(1).name, "c2")
self.assertEqual(q_p.get_linear_constraint("c2").name, "c2")
with self.assertRaises(KeyError):
q_p.remove_linear_constraint("c1")
with self.assertRaises(IndexError):
q_p.remove_linear_constraint(9)
q_p.linear_constraint(sense="E")
self.assertEqual(q_p.linear_constraints[-1].sense, Constraint.Sense.EQ)
q_p.linear_constraint(sense="G")
self.assertEqual(q_p.linear_constraints[-1].sense, Constraint.Sense.GE)
q_p.linear_constraint(sense="L")
self.assertEqual(q_p.linear_constraints[-1].sense, Constraint.Sense.LE)
q_p.linear_constraint(sense="EQ")
self.assertEqual(q_p.linear_constraints[-1].sense, Constraint.Sense.EQ)
q_p.linear_constraint(sense="GE")
self.assertEqual(q_p.linear_constraints[-1].sense, Constraint.Sense.GE)
q_p.linear_constraint(sense="LE")
self.assertEqual(q_p.linear_constraints[-1].sense, Constraint.Sense.LE)
q_p.linear_constraint(sense="=")
self.assertEqual(q_p.linear_constraints[-1].sense, Constraint.Sense.EQ)
q_p.linear_constraint(sense=">")
self.assertEqual(q_p.linear_constraints[-1].sense, Constraint.Sense.GE)
q_p.linear_constraint(sense="<")
with self.assertRaises(QiskitOptimizationError):
q_p.linear_constraint(sense="=>")
def test_init(self):
"""test init."""
quadratic_program = QuadraticProgram()
for _ in range(5):
quadratic_program.continuous_var()
self.assertEqual(quadratic_program.get_num_linear_constraints(), 0)
coefficients = np.array(range(5))
# equality constraints
quadratic_program.linear_constraint(sense="==")
self.assertEqual(quadratic_program.get_num_linear_constraints(), 1)
self.assertEqual(quadratic_program.linear_constraints[0].name, "c0")
self.assertEqual(
len(quadratic_program.linear_constraints[0].linear.to_dict()), 0)
self.assertEqual(quadratic_program.linear_constraints[0].sense,
Constraint.Sense.EQ)
self.assertEqual(quadratic_program.linear_constraints[0].rhs, 0.0)
self.assertEqual(
quadratic_program.linear_constraints[0],
quadratic_program.get_linear_constraint("c0"),
)
self.assertEqual(
quadratic_program.linear_constraints[0],
quadratic_program.get_linear_constraint(0),
)
with self.assertRaises(QiskitOptimizationError):
quadratic_program.linear_constraint(name="c0")
quadratic_program.linear_constraint(coefficients, "==", 1.0, "c1")
self.assertEqual(quadratic_program.get_num_linear_constraints(), 2)
self.assertEqual(quadratic_program.linear_constraints[1].name, "c1")
self.assertTrue(
(quadratic_program.linear_constraints[1].linear.to_array() ==
coefficients).all())
self.assertEqual(quadratic_program.linear_constraints[1].sense,
Constraint.Sense.EQ)
self.assertEqual(quadratic_program.linear_constraints[1].rhs, 1.0)
self.assertEqual(
quadratic_program.linear_constraints[1],
quadratic_program.get_linear_constraint("c1"),
)
self.assertEqual(
quadratic_program.linear_constraints[1],
quadratic_program.get_linear_constraint(1),
)
# geq constraints
quadratic_program.linear_constraint(sense=">=")
self.assertEqual(quadratic_program.get_num_linear_constraints(), 3)
self.assertEqual(quadratic_program.linear_constraints[2].name, "c2")
self.assertEqual(
len(quadratic_program.linear_constraints[2].linear.to_dict()), 0)
self.assertEqual(quadratic_program.linear_constraints[2].sense,
Constraint.Sense.GE)
self.assertEqual(quadratic_program.linear_constraints[2].rhs, 0.0)
self.assertEqual(
quadratic_program.linear_constraints[2],
quadratic_program.get_linear_constraint("c2"),
)
self.assertEqual(
quadratic_program.linear_constraints[2],
quadratic_program.get_linear_constraint(2),
)
with self.assertRaises(QiskitOptimizationError):
quadratic_program.linear_constraint(name="c2", sense=">=")
quadratic_program.linear_constraint(coefficients, ">=", 1.0, "c3")
self.assertEqual(quadratic_program.get_num_linear_constraints(), 4)
self.assertEqual(quadratic_program.linear_constraints[3].name, "c3")
self.assertTrue(
(quadratic_program.linear_constraints[3].linear.to_array() ==
coefficients).all())
self.assertEqual(quadratic_program.linear_constraints[3].sense,
Constraint.Sense.GE)
self.assertEqual(quadratic_program.linear_constraints[3].rhs, 1.0)
self.assertEqual(
quadratic_program.linear_constraints[3],
quadratic_program.get_linear_constraint("c3"),
)
self.assertEqual(
quadratic_program.linear_constraints[3],
quadratic_program.get_linear_constraint(3),
)
# leq constraints
quadratic_program.linear_constraint(sense="<=")
self.assertEqual(quadratic_program.get_num_linear_constraints(), 5)
self.assertEqual(quadratic_program.linear_constraints[4].name, "c4")
self.assertEqual(
len(quadratic_program.linear_constraints[4].linear.to_dict()), 0)
self.assertEqual(quadratic_program.linear_constraints[4].sense,
Constraint.Sense.LE)
self.assertEqual(quadratic_program.linear_constraints[4].rhs, 0.0)
self.assertEqual(
quadratic_program.linear_constraints[4],
quadratic_program.get_linear_constraint("c4"),
)
self.assertEqual(
quadratic_program.linear_constraints[4],
quadratic_program.get_linear_constraint(4),
)
with self.assertRaises(QiskitOptimizationError):
quadratic_program.linear_constraint(name="c4", sense="<=")
quadratic_program.linear_constraint(coefficients, "<=", 1.0, "c5")
self.assertEqual(quadratic_program.get_num_linear_constraints(), 6)
self.assertEqual(quadratic_program.linear_constraints[5].name, "c5")
self.assertTrue(
(quadratic_program.linear_constraints[5].linear.to_array() ==
coefficients).all())
self.assertEqual(quadratic_program.linear_constraints[5].sense,
Constraint.Sense.LE)
self.assertEqual(quadratic_program.linear_constraints[5].rhs, 1.0)
self.assertEqual(
quadratic_program.linear_constraints[5],
quadratic_program.get_linear_constraint("c5"),
)
self.assertEqual(
quadratic_program.linear_constraints[5],
quadratic_program.get_linear_constraint(5),
)
def test_read_from_lp_file(self):
"""test read lp file"""
try:
q_p = QuadraticProgram()
with self.assertRaises(FileNotFoundError):
q_p.read_from_lp_file('')
with self.assertRaises(FileNotFoundError):
q_p.read_from_lp_file('no_file.txt')
lp_file = self.get_resource_path(
path.join('resources', 'test_quadratic_program.lp'))
q_p.read_from_lp_file(lp_file)
self.assertEqual(q_p.name, 'my problem')
self.assertEqual(q_p.get_num_vars(), 3)
self.assertEqual(q_p.get_num_binary_vars(), 1)
self.assertEqual(q_p.get_num_integer_vars(), 1)
self.assertEqual(q_p.get_num_continuous_vars(), 1)
self.assertEqual(q_p.get_num_linear_constraints(), 3)
self.assertEqual(q_p.get_num_quadratic_constraints(), 3)
self.assertEqual(q_p.variables[0].name, 'x')
self.assertEqual(q_p.variables[0].vartype, Variable.Type.BINARY)
self.assertEqual(q_p.variables[0].lowerbound, 0)
self.assertEqual(q_p.variables[0].upperbound, 1)
self.assertEqual(q_p.variables[1].name, 'y')
self.assertEqual(q_p.variables[1].vartype, Variable.Type.INTEGER)
self.assertEqual(q_p.variables[1].lowerbound, -1)
self.assertEqual(q_p.variables[1].upperbound, 5)
self.assertEqual(q_p.variables[2].name, 'z')
self.assertEqual(q_p.variables[2].vartype,
Variable.Type.CONTINUOUS)
self.assertEqual(q_p.variables[2].lowerbound, -1)
self.assertEqual(q_p.variables[2].upperbound, 5)
self.assertEqual(q_p.objective.sense,
QuadraticObjective.Sense.MINIMIZE)
self.assertEqual(q_p.objective.constant, 1)
self.assertDictEqual(q_p.objective.linear.to_dict(use_name=True), {
'x': 1,
'y': -1,
'z': 10
})
self.assertDictEqual(
q_p.objective.quadratic.to_dict(use_name=True), {
('x', 'x'): 0.5,
('y', 'z'): -1
})
cst = q_p.linear_constraints
self.assertEqual(cst[0].name, 'lin_eq')
self.assertDictEqual(cst[0].linear.to_dict(use_name=True), {
'x': 1,
'y': 2
})
self.assertEqual(cst[0].sense, Constraint.Sense.EQ)
self.assertEqual(cst[0].rhs, 1)
self.assertEqual(cst[1].name, 'lin_leq')
self.assertDictEqual(cst[1].linear.to_dict(use_name=True), {
'x': 1,
'y': 2
})
self.assertEqual(cst[1].sense, Constraint.Sense.LE)
self.assertEqual(cst[1].rhs, 1)
self.assertEqual(cst[2].name, 'lin_geq')
self.assertDictEqual(cst[2].linear.to_dict(use_name=True), {
'x': 1,
'y': 2
})
self.assertEqual(cst[2].sense, Constraint.Sense.GE)
self.assertEqual(cst[2].rhs, 1)
cst = q_p.quadratic_constraints
self.assertEqual(cst[0].name, 'quad_eq')
self.assertDictEqual(cst[0].linear.to_dict(use_name=True), {
'x': 1,
'y': 1
})
self.assertDictEqual(cst[0].quadratic.to_dict(use_name=True), {
('x', 'x'): 1,
('y', 'z'): -1,
('z', 'z'): 2
})
self.assertEqual(cst[0].sense, Constraint.Sense.EQ)
self.assertEqual(cst[0].rhs, 1)
self.assertEqual(cst[1].name, 'quad_leq')
self.assertDictEqual(cst[1].linear.to_dict(use_name=True), {
'x': 1,
'y': 1
})
self.assertDictEqual(cst[1].quadratic.to_dict(use_name=True), {
('x', 'x'): 1,
('y', 'z'): -1,
('z', 'z'): 2
})
self.assertEqual(cst[1].sense, Constraint.Sense.LE)
self.assertEqual(cst[1].rhs, 1)
self.assertEqual(cst[2].name, 'quad_geq')
self.assertDictEqual(cst[2].linear.to_dict(use_name=True), {
'x': 1,
'y': 1
})
self.assertDictEqual(cst[2].quadratic.to_dict(use_name=True), {
('x', 'x'): 1,
('y', 'z'): -1,
('z', 'z'): 2
})
self.assertEqual(cst[2].sense, Constraint.Sense.GE)
self.assertEqual(cst[2].rhs, 1)
except MissingOptionalLibraryError as ex:
self.skipTest(str(ex))
except RuntimeError as ex:
self.fail(str(ex))
def test_linear_constraints_handling(self):
"""test linear constraints handling"""
q_p = QuadraticProgram()
q_p.binary_var('x')
q_p.binary_var('y')
q_p.binary_var('z')
q_p.linear_constraint({'x': 1}, '==', 1)
q_p.linear_constraint({'y': 1}, '<=', 1)
q_p.linear_constraint({'z': 1}, '>=', 1)
self.assertEqual(q_p.get_num_linear_constraints(), 3)
lin = q_p.linear_constraints
self.assertEqual(len(lin), 3)
self.assertDictEqual(lin[0].linear.to_dict(), {0: 1})
self.assertDictEqual(lin[0].linear.to_dict(use_name=True), {'x': 1})
self.assertListEqual(lin[0].linear.to_array().tolist(), [1, 0, 0])
self.assertEqual(lin[0].sense, Constraint.Sense.EQ)
self.assertEqual(lin[0].rhs, 1)
self.assertEqual(lin[0].name, 'c0')
self.assertEqual(q_p.get_linear_constraint(0).name, 'c0')
self.assertEqual(q_p.get_linear_constraint('c0').name, 'c0')
self.assertDictEqual(lin[1].linear.to_dict(), {1: 1})
self.assertDictEqual(lin[1].linear.to_dict(use_name=True), {'y': 1})
self.assertListEqual(lin[1].linear.to_array().tolist(), [0, 1, 0])
self.assertEqual(lin[1].sense, Constraint.Sense.LE)
self.assertEqual(lin[1].rhs, 1)
self.assertEqual(lin[1].name, 'c1')
self.assertEqual(q_p.get_linear_constraint(1).name, 'c1')
self.assertEqual(q_p.get_linear_constraint('c1').name, 'c1')
self.assertDictEqual(lin[2].linear.to_dict(), {2: 1})
self.assertDictEqual(lin[2].linear.to_dict(use_name=True), {'z': 1})
self.assertListEqual(lin[2].linear.to_array().tolist(), [0, 0, 1])
self.assertEqual(lin[2].sense, Constraint.Sense.GE)
self.assertEqual(lin[2].rhs, 1)
self.assertEqual(lin[2].name, 'c2')
self.assertEqual(q_p.get_linear_constraint(2).name, 'c2')
self.assertEqual(q_p.get_linear_constraint('c2').name, 'c2')
with self.assertRaises(QiskitOptimizationError):
q_p.linear_constraint(name='c0')
with self.assertRaises(QiskitOptimizationError):
q_p.linear_constraint(name='c1')
with self.assertRaises(QiskitOptimizationError):
q_p.linear_constraint(name='c2')
with self.assertRaises(IndexError):
q_p.get_linear_constraint(4)
with self.assertRaises(KeyError):
q_p.get_linear_constraint('c3')
q_p.remove_linear_constraint('c1')
lin = q_p.linear_constraints
self.assertEqual(len(lin), 2)
self.assertDictEqual(lin[1].linear.to_dict(), {2: 1})
self.assertDictEqual(lin[1].linear.to_dict(use_name=True), {'z': 1})
self.assertListEqual(lin[1].linear.to_array().tolist(), [0, 0, 1])
self.assertEqual(lin[1].sense, Constraint.Sense.GE)
self.assertEqual(lin[1].rhs, 1)
self.assertEqual(lin[1].name, 'c2')
self.assertEqual(q_p.get_linear_constraint(1).name, 'c2')
self.assertEqual(q_p.get_linear_constraint('c2').name, 'c2')
with self.assertRaises(KeyError):
q_p.remove_linear_constraint('c1')
with self.assertRaises(IndexError):
q_p.remove_linear_constraint(9)
q_p.linear_constraint(sense='E')
self.assertEqual(q_p.linear_constraints[-1].sense, Constraint.Sense.EQ)
q_p.linear_constraint(sense='G')
self.assertEqual(q_p.linear_constraints[-1].sense, Constraint.Sense.GE)
q_p.linear_constraint(sense='L')
self.assertEqual(q_p.linear_constraints[-1].sense, Constraint.Sense.LE)
q_p.linear_constraint(sense='EQ')
self.assertEqual(q_p.linear_constraints[-1].sense, Constraint.Sense.EQ)
q_p.linear_constraint(sense='GE')
self.assertEqual(q_p.linear_constraints[-1].sense, Constraint.Sense.GE)
q_p.linear_constraint(sense='LE')
self.assertEqual(q_p.linear_constraints[-1].sense, Constraint.Sense.LE)
q_p.linear_constraint(sense='=')
self.assertEqual(q_p.linear_constraints[-1].sense, Constraint.Sense.EQ)
q_p.linear_constraint(sense='>')
self.assertEqual(q_p.linear_constraints[-1].sense, Constraint.Sense.GE)
q_p.linear_constraint(sense='<')
with self.assertRaises(QiskitOptimizationError):
q_p.linear_constraint(sense='=>')
def test_read_from_lp_file(self):
"""test read lp file"""
try:
q_p = QuadraticProgram()
with self.assertRaises(FileNotFoundError):
q_p.read_from_lp_file("")
with self.assertRaises(FileNotFoundError):
q_p.read_from_lp_file("no_file.txt")
lp_file = self.get_resource_path("test_quadratic_program.lp",
"problems/resources")
q_p.read_from_lp_file(lp_file)
self.assertEqual(q_p.name, "my problem")
self.assertEqual(q_p.get_num_vars(), 3)
self.assertEqual(q_p.get_num_binary_vars(), 1)
self.assertEqual(q_p.get_num_integer_vars(), 1)
self.assertEqual(q_p.get_num_continuous_vars(), 1)
self.assertEqual(q_p.get_num_linear_constraints(), 3)
self.assertEqual(q_p.get_num_quadratic_constraints(), 3)
self.assertEqual(q_p.variables[0].name, "x")
self.assertEqual(q_p.variables[0].vartype, Variable.Type.BINARY)
self.assertEqual(q_p.variables[0].lowerbound, 0)
self.assertEqual(q_p.variables[0].upperbound, 1)
self.assertEqual(q_p.variables[1].name, "y")
self.assertEqual(q_p.variables[1].vartype, Variable.Type.INTEGER)
self.assertEqual(q_p.variables[1].lowerbound, -1)
self.assertEqual(q_p.variables[1].upperbound, 5)
self.assertEqual(q_p.variables[2].name, "z")
self.assertEqual(q_p.variables[2].vartype,
Variable.Type.CONTINUOUS)
self.assertEqual(q_p.variables[2].lowerbound, -1)
self.assertEqual(q_p.variables[2].upperbound, 5)
self.assertEqual(q_p.objective.sense,
QuadraticObjective.Sense.MINIMIZE)
self.assertEqual(q_p.objective.constant, 1)
self.assertDictEqual(q_p.objective.linear.to_dict(use_name=True), {
"x": 1,
"y": -1,
"z": 10
})
self.assertDictEqual(
q_p.objective.quadratic.to_dict(use_name=True),
{
("x", "x"): 0.5,
("y", "z"): -1
},
)
cst = q_p.linear_constraints
self.assertEqual(cst[0].name, "lin_eq")
self.assertDictEqual(cst[0].linear.to_dict(use_name=True), {
"x": 1,
"y": 2
})
self.assertEqual(cst[0].sense, Constraint.Sense.EQ)
self.assertEqual(cst[0].rhs, 1)
self.assertEqual(cst[1].name, "lin_leq")
self.assertDictEqual(cst[1].linear.to_dict(use_name=True), {
"x": 1,
"y": 2
})
self.assertEqual(cst[1].sense, Constraint.Sense.LE)
self.assertEqual(cst[1].rhs, 1)
self.assertEqual(cst[2].name, "lin_geq")
self.assertDictEqual(cst[2].linear.to_dict(use_name=True), {
"x": 1,
"y": 2
})
self.assertEqual(cst[2].sense, Constraint.Sense.GE)
self.assertEqual(cst[2].rhs, 1)
cst = q_p.quadratic_constraints
self.assertEqual(cst[0].name, "quad_eq")
self.assertDictEqual(cst[0].linear.to_dict(use_name=True), {
"x": 1,
"y": 1
})
self.assertDictEqual(
cst[0].quadratic.to_dict(use_name=True),
{
("x", "x"): 1,
("y", "z"): -1,
("z", "z"): 2
},
)
self.assertEqual(cst[0].sense, Constraint.Sense.EQ)
self.assertEqual(cst[0].rhs, 1)
self.assertEqual(cst[1].name, "quad_leq")
self.assertDictEqual(cst[1].linear.to_dict(use_name=True), {
"x": 1,
"y": 1
})
self.assertDictEqual(
cst[1].quadratic.to_dict(use_name=True),
{
("x", "x"): 1,
("y", "z"): -1,
("z", "z"): 2
},
)
self.assertEqual(cst[1].sense, Constraint.Sense.LE)
self.assertEqual(cst[1].rhs, 1)
self.assertEqual(cst[2].name, "quad_geq")
self.assertDictEqual(cst[2].linear.to_dict(use_name=True), {
"x": 1,
"y": 1
})
self.assertDictEqual(
cst[2].quadratic.to_dict(use_name=True),
{
("x", "x"): 1,
("y", "z"): -1,
("z", "z"): 2
},
)
self.assertEqual(cst[2].sense, Constraint.Sense.GE)
self.assertEqual(cst[2].rhs, 1)
except RuntimeError as ex:
self.fail(str(ex))