def test_wrap_problem_lambda(self):
l = lambda _: 0.0
ioh.problem.wrap_real_problem(l, "f")
p = ioh.get_problem("f")
p([0] * 5)
ioh.problem.wrap_real_problem(l, "f")
p2 = ioh.get_problem("f")
self.assertEqual(p.meta_data.problem_id, p2.meta_data.problem_id)
self.assertEqual(p.meta_data.name, p2.meta_data.name)
def test_flatfile(self):
pr = ioh.get_problem("Sphere", 1, 5)
p = [ioh.logger.property.CURRENT_Y_BEST]
t = [ioh.logger.trigger.ON_IMPROVEMENT]
l = ioh.logger.FlatFile(t, p, separator=" ")
pr.attach_logger(l)
self.assertEqual(os.path.realpath("./"),
os.path.realpath(l.output_directory))
pr([0] * 5)
self.assertTrue(os.path.isfile("IOH.dat"))
def test_eaf(self):
p = ioh.get_problem(1, 1, 5)
l = ioh.logger.EAH(0, 20, 10, 0, 100, 10)
self.assertEqual(l.error_range.min, 0)
self.assertEqual(l.error_range.max, 20)
self.assertEqual(l.error_range.size, 10)
self.assertEqual(l.eval_range.min, 0)
self.assertEqual(l.eval_range.max, 100)
self.assertEqual(l.eval_range.size, 10)
p.attach_logger(l)
for i in range(10):
p([i] * 5)
self.assertEqual(list(l.data.keys()), [1])
def test_analyzer(self):
pr = ioh.get_problem("Sphere", 1, 5)
c = Container()
l = ioh.logger.Analyzer([ioh.logger.trigger.ALWAYS])
l.set_experiment_attributes({"x": "1"})
l.watch(c, ["xv", "xy"])
l.add_run_attributes(c, "xv")
pr.attach_logger(l)
for c.xv in range(4):
for i in range(5):
c.xy = i * 10
pr([i] * 5)
pr.reset()
self.assertTrue(os.path.isdir("ioh_data"))
def test_file_comparisons(self):
for test_file in ("pbofitness16.in", "pbofitness100.in",
"bbobfitness5.in", "bbobfitness20.in", ):
with self.subTest(test_file=test_file):
suite, dim = test_file.split("fitness")
dim = int(dim[:-3])
dtype = float if suite == 'bbob' else int
tol = .01 if suite == 'bbob' else 0.000099
with open(os.path.join(DATA_DIR, test_file)) as f:
for line in f:
fid, iid, x, y = line.split()
if "," in x:
x = x.split(",")
x = list(map(dtype, x))
p = ioh.get_problem(int(fid), int(iid), dim, suite.upper())
self.assertTrue(math.isclose(p(x), float(y), abs_tol = tol))
def test_triggers(self):
always = ioh.logger.trigger.Always()
on_improvement = ioh.logger.trigger.OnImprovement()
at = ioh.logger.trigger.At({1, 22})
self.assertSetEqual(at.time_points, {1, 22})
each = ioh.logger.trigger.Each(10, 2)
self.assertEqual(each.interval, 10)
self.assertEqual(each.starting_at, 2)
during = ioh.logger.trigger.During({(10, 25), (30, 40)})
self.assertEqual(during.time_ranges, {(10, 25), (30, 40)})
log_info = ioh.LogInfo(22, 0, 0, 0, ioh.RealSolution([0, 1], 0),
ioh.RealSolution([1, 0], 0))
problem = ioh.get_problem(1, 1, 2)
for t in (always, on_improvement, at, each, during):
self.assertTrue(t(log_info, problem.meta_data))
def test_wrap_problem_builtins(self):
for f in (sum, min, max):
ioh.problem.wrap_real_problem(f, f.__name__)
p = ioh.get_problem(f.__name__)
y = p([0] * 5)
self.assertEqual(y, 0.0)
def w():
ioh.problem.wrap_real_problem(lambda _: 0.0, "l")
return ioh.get_problem("l")
def test_evaluation_pbo_problems(self):
for fid in range(1,26):
f = ioh.get_problem(fid, 1 ,4, "PBO")
self.assertGreater(f([0,0,0,0]), -1000)
def test_evaluation_bbob_problems(self):
for fid in range(1,25):
f = ioh.get_problem(fid, 1 ,5, "BBOB")
self.assertGreater(f([0,0,0,0,0]), -1000)
def test_get_problem(self):
self.assertIsInstance(ioh.get_problem(1, 1, 2, "BBOB"), ioh.problem.Sphere)
self.assertIsInstance(ioh.get_problem("Sphere", 1, 2, "BBOB"), ioh.problem.Sphere)
self.assertIsInstance(ioh.get_problem("Sphere", 1, 2), ioh.problem.Sphere)
self.assertIsInstance(ioh.get_problem(1, 1, 2, "PBO"), ioh.problem.OneMax)
self.assertIsInstance(ioh.get_problem("OneMax", 1, 2, "PBO"), ioh.problem.OneMax)