def test_supply_attribute(self):
"""
Test that we can supply an attribute instead of a function.
"""
iden = Identity()
lst = LeastSquaresTerm(Target(iden, 'x'), 3, weight=0.1)
self.assertEqual(lst.goal, 3)
self.assertAlmostEqual(lst.weight, 0.1, places=13)
iden.set_dofs([17])
self.assertEqual(lst.f_in(), 17)
correct_value = 0.1 * ((17 - 3)**2)
self.assertAlmostEqual(lst.f_out(), correct_value, places=13)
def test_supply_property(self):
"""
Test that we can supply a property instead of a function.
"""
iden = Identity()
lst = LeastSquaresTerm.from_sigma(Target(iden, 'f'), 3, sigma=0.1)
self.assertEqual(lst.goal, 3)
self.assertAlmostEqual(lst.weight, 100, places=13)
iden.set_dofs([17])
self.assertEqual(lst.f_in(), 17)
correct_value = ((17 - 3) / 0.1)**2
self.assertAlmostEqual(lst.f_out(), correct_value, places=11)
def test_supply_object(self):
"""
Test that we can supply an object with a J function instead of a function.
"""
iden = Identity()
# Note here we supply iden instead of iden.J
lst = LeastSquaresTerm.from_sigma(iden, 3, sigma=0.1)
self.assertEqual(lst.f_in, iden.J)
self.assertEqual(lst.goal, 3)
self.assertAlmostEqual(lst.weight, 100, places=13)
iden.set_dofs([17])
self.assertEqual(lst.f_in(), 17)
correct_value = ((17 - 3) / 0.1)**2
self.assertAlmostEqual(lst.f_out(), correct_value, places=11)
def test_gradient(self):
iden = Identity()
for n in range(1, 10):
iden.set_dofs([np.random.rand() * 4 - 2])
# Supply an object to finite_difference():
fd_grad = Dofs([iden]).fd_jac().flatten()
np.testing.assert_allclose(fd_grad, iden.df)
np.testing.assert_allclose(fd_grad, iden.dJ())
# Supply a function to finite_difference():
fd_grad = Dofs([iden.J]).fd_jac().flatten()
np.testing.assert_allclose(fd_grad, iden.df)
np.testing.assert_allclose(fd_grad, iden.dJ())
# Supply an attribute to finite_difference():
fd_grad = Dofs([Target(iden, "f")]).fd_jac().flatten()
np.testing.assert_allclose(fd_grad, iden.df)
np.testing.assert_allclose(fd_grad, iden.dJ())
def test_basic(self):
iden = Identity()
self.assertAlmostEqual(iden.J(), 0, places=13)
np.testing.assert_allclose(iden.get_dofs(), np.array([0.0]))
np.testing.assert_allclose(iden.fixed, np.array([False]))
x = 3.5
iden = Identity(x)
self.assertAlmostEqual(iden.J(), x, places=13)
np.testing.assert_allclose(iden.get_dofs(), np.array([x]))
np.testing.assert_allclose(iden.fixed, np.array([False]))
y = -2
iden.set_dofs([y])
self.assertAlmostEqual(iden.J(), y, places=13)
np.testing.assert_allclose(iden.get_dofs(), np.array([y]))
np.testing.assert_allclose(iden.fixed, np.array([False]))
def test_basic(self):
"""
Test basic usage
"""
iden = Identity()
lst = LeastSquaresTerm(iden.J, 3, weight=0.1)
self.assertEqual(lst.f_in, iden.J)
self.assertEqual(lst.goal, 3)
self.assertAlmostEqual(lst.weight, 0.1, places=13)
lst = LeastSquaresTerm.from_sigma(iden.J, 3, sigma=0.1)
self.assertEqual(lst.f_in, iden.J)
self.assertEqual(lst.goal, 3)
self.assertAlmostEqual(lst.weight, 100.0, places=13)
iden.set_dofs([17])
self.assertEqual(lst.f_in(), 17)
correct_value = ((17 - 3) / 0.1)**2
self.assertAlmostEqual(lst.f_out(), correct_value, places=11)
def test_supply_tuples(self):
"""
Test basic usage
"""
# Objective function f(x) = ((x - 3) / 2) ** 2
iden1 = Identity()
term1 = (iden1.J, 3, 0.25)
prob = LeastSquaresProblem([term1])
self.assertAlmostEqual(prob.objective(), 2.25)
iden1.set_dofs([10])
self.assertAlmostEqual(prob.objective(), 12.25)
self.assertAlmostEqual(prob.objective([0]), 2.25)
self.assertAlmostEqual(prob.objective([10]), 12.25)
self.assertEqual(prob.dofs.all_owners, [iden1])
self.assertEqual(prob.dofs.dof_owners, [iden1])
# Objective function
# f(x,y) = ((x - 3) / 2) ** 2 + ((y + 4) / 5) ** 2
iden2 = Identity()
term2 = (iden2.J, -4, 0.04)
prob = LeastSquaresProblem([term1, term2])
self.assertAlmostEqual(prob.objective(), 12.89)
iden1.set_dofs([5])
iden2.set_dofs([-7])
self.assertAlmostEqual(prob.objective(), 1.36)
self.assertAlmostEqual(prob.objective([10, 0]), 12.89)
self.assertAlmostEqual(prob.objective([5, -7]), 1.36)
self.assertEqual(prob.dofs.dof_owners, [iden1, iden2])
self.assertEqual(prob.dofs.all_owners, [iden1, iden2])