def test_aug_hartmann6(self):
self.assertEqual(aug_hartmann6.name, "Aug_Hartmann6")
self.assertAlmostEqual(aug_hartmann6(1, 2, 3, 4, 5, 6, 1), 0.0)
self.assertAlmostEqual(
aug_hartmann6(x1=1, x2=2, x3=3, x4=4, x5=5, x6=6, x7=1), 0.0
)
self.assertAlmostEqual(aug_hartmann6(np.array([1, 2, 3, 4, 5, 6, 1])), 0.0)
self.assertAlmostEqual(
aug_hartmann6(np.array([[1, 2, 3, 4, 5, 6, 1], [1, 2, 3, 4, 5, 6, 1]]))[0],
0.0,
)
self.assertAlmostEqual(aug_hartmann6.minimums[0][0], 0.20169, places=5)
self.assertAlmostEqual(aug_hartmann6.fmin, -3.32237, places=5)
self.assertEqual(aug_hartmann6.fmax, 0.0)
self.assertEqual(aug_hartmann6.domain[0], (0, 1))
self.assertEqual(aug_hartmann6.required_dimensionality, 7)
with self.assertRaisesRegex(
NotImplementedError, "Aug_Hartmann6 does not specify"
):
aug_hartmann6.maximums
def f(self, x: np.ndarray) -> float:
return checked_cast(float, aug_hartmann6(x))