def test_goldstein_bound_fail(self):
"""Test goldstein bound exception"""
x = - np.random.uniform(low=2.00001,high=100,size=(3,2))
x_ = np.random.uniform(low=2.00001,high=100,size=(3,2))
with self.assertRaises(ValueError):
fx.goldstein_func(x)
with self.assertRaises(ValueError):
fx.goldstein_func(x_)
def test_goldstein_output(common_minima2):
"""Tests goldstein-price function output."""
assert np.isclose(fx.goldstein_func([0, -1] * common_minima2),
(3 * np.ones(3))).all()
def test_goldstein_bound_fail(outbound):
"""Test goldstein bound exception"""
with pytest.raises(ValueError):
x = outbound(b["goldstein"].low, b["goldstein"].high, size=(3, 2))
fx.goldstein_func(x)
def test_goldstein_dim_fail(outdim):
"""Test goldstein dim exception"""
with pytest.raises(IndexError):
fx.goldstein_func(outdim)
def test_goldstein_output_size(self):
"""Test goldstein output size."""
self.assertEqual(fx.goldstein_func(self.input).shape, self.target_size)
def test_goldstein_output(self):
"""Tests goldstein-price function output."""
assert np.isclose(fx.goldstein_func([0, -1] * self.input2),
(3 * np.ones(3))).all()
def test_goldstein_dim_fail(self):
"""Test golstein dim exception"""
with self.assertRaises(IndexError):
fx.goldstein_func(self.bad_input)
def test_goldstein_output_size(common_minima, targetdim):
"""Test goldstein output size."""
assert fx.goldstein_func(common_minima).shape == targetdim