class StoppingTaskBaseTestCase(TestCase):
def setUp(self):
self.D = 6
self.Lower, self.Upper = [2, 1, 1], [10, 10, 2]
self.task = StoppingTask(Lower=self.Lower, Upper=self.Upper, D=self.D)
def test_dim_ok(self):
self.assertEqual(self.D, self.task.D)
self.assertEqual(self.D, self.task.dim())
def test_lower(self):
self.assertTrue(
array_equal(fullArray(self.Lower, self.D), self.task.Lower))
self.assertTrue(
array_equal(fullArray(self.Lower, self.D), self.task.bcLower()))
def test_upper(self):
self.assertTrue(
array_equal(fullArray(self.Upper, self.D), self.task.Upper))
self.assertTrue(
array_equal(fullArray(self.Upper, self.D), self.task.bcUpper()))
def test_range(self):
self.assertTrue(
array_equal(
fullArray(self.Upper, self.D) - fullArray(self.Lower, self.D),
self.task.bRange))
self.assertTrue(
array_equal(
fullArray(self.Upper, self.D) - fullArray(self.Lower, self.D),
self.task.bcRange()))
def test_ngens(self):
self.assertEqual(inf, self.task.nGEN)
def test_nfess(self):
self.assertEqual(inf, self.task.nFES)
def test_stop_cond(self):
self.assertFalse(self.task.stopCond())
def test_stop_condi(self):
self.assertFalse(self.task.stopCondI())
def test_eval(self):
self.assertRaises(AttributeError, lambda: self.task.eval([]))
def test_evals(self):
self.assertEqual(0, self.task.evals())
def test_iters(self):
self.assertEqual(0, self.task.iters())
def test_next_iter(self):
self.assertEqual(None, self.task.nextIter())
def test_is_feasible(self):
self.assertFalse(self.task.isFeasible(fullArray([1, 2, 3], self.D)))
def test_FA_evals_fine(self):
task = StoppingTask(D=10,
nFES=1000,
optType=OptimizationType.MINIMIZATION,
benchmark=Sphere())
algo = FireflyAlgorithm(NP=25)
algo.runTask(task)
evals = task.evals()
self.assertEqual(1000, evals)
def test_BA_iters_to_fes(self):
task = StoppingTask(D=10,
nGEN=1000,
optType=OptimizationType.MINIMIZATION,
benchmark=Sphere())
algo = BatAlgorithm(NP=10)
algo.runTask(task)
evals = task.evals()
self.assertEqual(10000, evals)
def test_DE_evals_fine(self):
task = StoppingTask(D=10,
nFES=1000,
optType=OptimizationType.MINIMIZATION,
benchmark=Sphere())
algo = DifferentialEvolution(NP=40, CR=0.9, F=0.5)
algo.runTask(task)
evals = task.evals()
self.assertEqual(1000, evals)
class StoppingTaskBaseTestCase(TestCase):
r"""Test case for testing `Task`, `StoppingTask` and `CountingTask` classes.
Date:
April 2019
Author:
Klemen Berkovič
See Also:
* :class:`NiaPy.util.Task`
* :class:`NiaPy.util.CountingTask`
* :class:`NiaPy.util.StoppingTask`
"""
def setUp(self):
self.D = 6
self.Lower, self.Upper = [2, 1, 1], [10, 10, 2]
self.task = StoppingTask(Lower=self.Lower, Upper=self.Upper, D=self.D)
def test_dim_ok(self):
self.assertEqual(self.D, self.task.D)
self.assertEqual(self.D, self.task.dim())
def test_lower(self):
self.assertTrue(
array_equal(fullArray(self.Lower, self.D), self.task.Lower))
self.assertTrue(
array_equal(fullArray(self.Lower, self.D), self.task.bcLower()))
def test_upper(self):
self.assertTrue(
array_equal(fullArray(self.Upper, self.D), self.task.Upper))
self.assertTrue(
array_equal(fullArray(self.Upper, self.D), self.task.bcUpper()))
def test_range(self):
self.assertTrue(
array_equal(
fullArray(self.Upper, self.D) - fullArray(self.Lower, self.D),
self.task.bRange))
self.assertTrue(
array_equal(
fullArray(self.Upper, self.D) - fullArray(self.Lower, self.D),
self.task.bcRange()))
def test_ngens(self):
self.assertEqual(inf, self.task.nGEN)
def test_nfess(self):
self.assertEqual(inf, self.task.nFES)
def test_stop_cond(self):
self.assertFalse(self.task.stopCond())
def test_stop_condi(self):
self.assertFalse(self.task.stopCondI())
def test_eval(self):
self.assertRaises(AttributeError, lambda: self.task.eval([]))
def test_evals(self):
self.assertEqual(0, self.task.evals())
def test_iters(self):
self.assertEqual(0, self.task.iters())
def test_next_iter(self):
self.assertEqual(None, self.task.nextIter())
def test_is_feasible(self):
self.assertFalse(self.task.isFeasible(fullArray([1, 2, 3], self.D)))
