def test_feasibility(self):
"""Tests feasibility methods."""
q_p = QuadraticProgram("test")
_ = q_p.continuous_var(-1, 1, "x")
_ = q_p.continuous_var(-10, 10, "y")
q_p.minimize(linear={"x": 1, "y": 1})
q_p.linear_constraint({"x": 1, "y": 1}, "<=", 10, "c0")
q_p.linear_constraint({"x": 1, "y": 1}, ">=", -10, "c1")
q_p.linear_constraint({"x": 1, "y": 1}, "==", 5, "c2")
q_p.quadratic_constraint({"y": 1}, {("x", "x"): 1}, "<=", 10, "c3")
q_p.quadratic_constraint({"y": 1}, {("x", "x"): 1}, ">=", 5, "c4")
q_p.quadratic_constraint(None, {
("x", "x"): 1,
("y", "y"): 1
}, "==", 25, "c5")
self.assertTrue(q_p.is_feasible([0, 5]))
self.assertFalse(q_p.is_feasible([1, 10]))
self.assertFalse(q_p.is_feasible([1, -12]))
self.assertFalse(q_p.is_feasible([1, 5]))
self.assertFalse(q_p.is_feasible([5, 0]))
self.assertFalse(q_p.is_feasible([1, 1]))
self.assertFalse(q_p.is_feasible([0, 0]))
feasible, variables, constraints = q_p.get_feasibility_info([10, 0])
self.assertFalse(feasible)
self.assertIsNotNone(variables)
self.assertEqual(1, len(variables))
self.assertEqual("x", variables[0].name)
self.assertIsNotNone(constraints)
self.assertEqual(3, len(constraints))
self.assertEqual("c2", constraints[0].name)
self.assertEqual("c3", constraints[1].name)
self.assertEqual("c5", constraints[2].name)
def test_feasibility(self):
"""Tests feasibility methods."""
mod = Model('test')
# 0, 5
x = mod.continuous_var(
-1,
1,
'x',
)
y = mod.continuous_var(-10, 10, 'y')
mod.minimize(x + y)
mod.add(x + y <= 10, 'c0')
mod.add(x + y >= -10, 'c1')
mod.add(x + y == 5, 'c2')
mod.add(x * x + y <= 10, 'c3')
mod.add(x * x + y >= 5, 'c4')
mod.add(x * x + y * y == 25, 'c5')
q_p = QuadraticProgram()
q_p.from_docplex(mod)
self.assertTrue(q_p.is_feasible([0, 5]))
self.assertFalse(q_p.is_feasible([1, 10]))
self.assertFalse(q_p.is_feasible([1, -12]))
self.assertFalse(q_p.is_feasible([1, 5]))
self.assertFalse(q_p.is_feasible([5, 0]))
self.assertFalse(q_p.is_feasible([1, 1]))
self.assertFalse(q_p.is_feasible([0, 0]))
feasible, variables, constraints = q_p.get_feasibility_info([10, 0])
self.assertFalse(feasible)
self.assertIsNotNone(variables)
self.assertEqual(1, len(variables))
self.assertEqual('x', variables[0].name)
self.assertIsNotNone(constraints)
self.assertEqual(3, len(constraints))
self.assertEqual('c2', constraints[0].name)
self.assertEqual('c3', constraints[1].name)
self.assertEqual('c5', constraints[2].name)
def test_feasibility(self):
"""Tests feasibility methods."""
mod = Model("test")
# 0, 5
x = mod.continuous_var(
-1,
1,
"x",
)
y = mod.continuous_var(-10, 10, "y")
mod.minimize(x + y)
mod.add(x + y <= 10, "c0")
mod.add(x + y >= -10, "c1")
mod.add(x + y == 5, "c2")
mod.add(x * x + y <= 10, "c3")
mod.add(x * x + y >= 5, "c4")
mod.add(x * x + y * y == 25, "c5")
q_p = QuadraticProgram()
q_p.from_docplex(mod)
self.assertTrue(q_p.is_feasible([0, 5]))
self.assertFalse(q_p.is_feasible([1, 10]))
self.assertFalse(q_p.is_feasible([1, -12]))
self.assertFalse(q_p.is_feasible([1, 5]))
self.assertFalse(q_p.is_feasible([5, 0]))
self.assertFalse(q_p.is_feasible([1, 1]))
self.assertFalse(q_p.is_feasible([0, 0]))
feasible, variables, constraints = q_p.get_feasibility_info([10, 0])
self.assertFalse(feasible)
self.assertIsNotNone(variables)
self.assertEqual(1, len(variables))
self.assertEqual("x", variables[0].name)
self.assertIsNotNone(constraints)
self.assertEqual(3, len(constraints))
self.assertEqual("c2", constraints[0].name)
self.assertEqual("c3", constraints[1].name)
self.assertEqual("c5", constraints[2].name)
