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import numpy as np
from unittest import TestCase
from cmaes import CMA, SepCMA
CMA_CLASSES = [CMA, SepCMA]
class TestCMABoundary(TestCase):
def test_valid_dimension(self):
for CmaClass in CMA_CLASSES:
with self.subTest(f"Class: {CmaClass.__name__}"):
CmaClass(
mean=np.zeros(2), sigma=1.3, bounds=np.array([[-10, 10], [-10, 10]])
)
def test_invalid_dimension(self):
for CmaClass in CMA_CLASSES:
with self.subTest(f"Class: {CmaClass.__name__}"):
with self.assertRaises(AssertionError):
CmaClass(mean=np.zeros(2), sigma=1.3, bounds=np.array([-10, 10]))
def test_mean_located_out_of_bounds(self):
mean = np.zeros(5)
bounds = np.empty(shape=(5, 2))
bounds[:, 0], bounds[:, 1] = 1.0, 5.0
for CmaClass in CMA_CLASSES:
with self.subTest(f"Class: {CmaClass.__name__}"):
with self.assertRaises(AssertionError):
CmaClass(mean=mean, sigma=1.3, bounds=bounds)
def test_set_valid_bounds(self):
for CmaClass in CMA_CLASSES:
with self.subTest(f"Class: {CmaClass.__name__}"):
optimizer = CmaClass(mean=np.zeros(2), sigma=1.3)
optimizer.set_bounds(bounds=np.array([[-10, 10], [-10, 10]]))
def test_set_invalid_bounds(self):
for CmaClass in CMA_CLASSES:
with self.subTest(f"Class: {CmaClass.__name__}"):
optimizer = CmaClass(mean=np.zeros(2), sigma=1.3)
with self.assertRaises(AssertionError):
optimizer.set_bounds(bounds=np.array([-10, 10]))
def test_set_bounds_which_does_not_contain_mean(self):
for CmaClass in CMA_CLASSES:
with self.subTest(f"Class: {CmaClass.__name__}"):
optimizer = CmaClass(mean=np.zeros(2), sigma=1.3)
bounds = np.empty(shape=(5, 2))
bounds[:, 0], bounds[:, 1] = 1.0, 5.0
with self.assertRaises(AssertionError):
optimizer.set_bounds(bounds)
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