def test_cubic_minimizer_exceptions(self):
with self.assertRaisesRegexp(ValueError, "bound_size_ratio"):
# bound_size_ratio < 0
wolfe.cubic_minimizer(0, 1, -1, 5, 10, 10, 60, bound_size_ratio=-1)
with self.assertRaisesRegexp(ValueError, "bound_size_ratio"):
# bound_size_ratio >= 1
wolfe.cubic_minimizer(0, 1, -1, 5, 10, 10, 60, bound_size_ratio=2)
def test_cubic_minimizer_exceptions(self):
with self.assertRaisesRegexp(ValueError, "bound_size_ratio"):
# bound_size_ratio < 0
wolfe.cubic_minimizer(0, 1, -1, 5, 10, 10, 60, bound_size_ratio=-1)
with self.assertRaisesRegexp(ValueError, "bound_size_ratio"):
# bound_size_ratio >= 1
wolfe.cubic_minimizer(0, 1, -1, 5, 10, 10, 60, bound_size_ratio=2)
def test_cubic_minimizer(self):
testcases = (
Case(func_input=dict(x_a=0., y_a=1., y_prime_a=-1.,
x_b=5., y_b=10., x_c=10., y_c=60.),
func_expected=1.06),
)
for testcase in testcases:
actual_output = wolfe.cubic_minimizer(**testcase.func_input)
self.assertAlmostEqual(actual_output.eval(),
testcase.func_expected,
places=2)
def test_cubic_minimizer(self):
testcases = (Case(func_input=dict(x_a=0.,
y_a=1.,
y_prime_a=-1.,
x_b=5.,
y_b=10.,
x_c=10.,
y_c=60.),
func_expected=1.06), )
for testcase in testcases:
actual_output = wolfe.cubic_minimizer(**testcase.func_input)
self.assertAlmostEqual(actual_output.eval(),
testcase.func_expected,
places=2)
