def test_binary_to_integer(self):
"""Test binary to integer"""
op = QuadraticProgram()
for i in range(0, 2):
op.binary_var(name="x{}".format(i))
op.integer_var(name="x2", lowerbound=0, upperbound=5)
linear = {"x0": 1, "x1": 2, "x2": 1}
op.maximize(0, linear, {})
linear = {}
for x in op.variables:
linear[x.name] = 1
op.linear_constraint(linear, Constraint.Sense.EQ, 6, "x0x1x2")
conv = IntegerToBinary()
_ = conv.convert(op)
new_x = conv.interpret([0, 1, 1, 1, 1])
np.testing.assert_array_almost_equal(new_x, [0, 1, 5])
def test_integer_to_binary(self):
""" Test integer to binary """
op = QuadraticProgram()
for i in range(0, 2):
op.binary_var(name='x{}'.format(i))
op.integer_var(name='x2', lowerbound=0, upperbound=5)
linear = {}
for i, x in enumerate(op.variables):
linear[x.name] = i + 1
op.maximize(0, linear, {})
conv = IntegerToBinary()
op2 = conv.convert(op)
self.assertEqual(op2.get_num_vars(), 5)
self.assertListEqual([x.vartype for x in op2.variables], [Variable.Type.BINARY] * 5)
self.assertListEqual([x.name for x in op2.variables], ['x0', 'x1', 'x2@0', 'x2@1', 'x2@2'])
dct = op2.objective.linear.to_dict()
self.assertEqual(dct[2], 3)
self.assertEqual(dct[3], 6)
self.assertEqual(dct[4], 6)
def test_continuous_variable_decode(self):
"""Test decode func of IntegerToBinaryConverter for continuous variables"""
mdl = Model("test_continuous_varable_decode")
c = mdl.continuous_var(lb=0, ub=10.9, name="c")
x = mdl.binary_var(name="x")
mdl.maximize(c + x * x)
op = from_docplex_mp(mdl)
converter = IntegerToBinary()
op = converter.convert(op)
admm_params = ADMMParameters()
qubo_optimizer = MinimumEigenOptimizer(NumPyMinimumEigensolver())
continuous_optimizer = CplexOptimizer()
solver = ADMMOptimizer(
qubo_optimizer=qubo_optimizer,
continuous_optimizer=continuous_optimizer,
params=admm_params,
)
result = solver.solve(op)
new_x = converter.interpret(result.x)
self.assertEqual(new_x[0], 10.9)
def test_continuous_variable_decode(self):
""" Test decode func of IntegerToBinaryConverter for continuous variables"""
try:
mdl = Model('test_continuous_varable_decode')
c = mdl.continuous_var(lb=0, ub=10.9, name='c')
x = mdl.binary_var(name='x')
mdl.maximize(c + x * x)
op = QuadraticProgram()
op.from_docplex(mdl)
converter = IntegerToBinary()
op = converter.convert(op)
admm_params = ADMMParameters()
qubo_optimizer = MinimumEigenOptimizer(NumPyMinimumEigensolver())
continuous_optimizer = CplexOptimizer()
solver = ADMMOptimizer(
qubo_optimizer=qubo_optimizer,
continuous_optimizer=continuous_optimizer,
params=admm_params,
)
result = solver.solve(op)
new_x = converter.interpret(result.x)
self.assertEqual(new_x[0], 10.9)
except MissingOptionalLibraryError as ex:
self.skipTest(str(ex))