def test_in_condition(self):
hp1 = CategoricalHyperparameter("parent", [0, 1])
hp2 = UniformIntegerHyperparameter("child", 0, 10)
hp3 = UniformIntegerHyperparameter("child2", 0, 10)
self.assertRaisesRegexp(
TypeError, "Argument 'hyperparameter' is not of"
" type <class 'ConfigSpace.hyperparameters.Hyperparameter'>.",
ForbiddenInClause, "HP1", 1)
self.assertRaisesRegexp(
ValueError, "Forbidden clause must be instantiated with a "
"legal hyperparameter value for "
"'parent, Type: Categorical, Choices: {0, 1}, "
"Default: 0', but got '2'", ForbiddenInClause, hp1, [2])
forb1 = ForbiddenInClause(hp2, [5, 6, 7, 8, 9])
forb1_ = ForbiddenInClause(hp2, [9, 8, 7, 6, 5])
forb2 = ForbiddenInClause(hp2, [5, 6, 7, 8])
forb3 = ForbiddenInClause(hp3, [5, 6, 7, 8, 9])
self.assertEqual(forb1, forb1_)
self.assertNotEqual(forb1, forb2)
self.assertNotEqual(forb1, forb3)
self.assertEqual("Forbidden: child in {5, 6, 7, 8, 9}", str(forb1))
self.assertRaisesRegexp(
ValueError, "Is_forbidden must be called with the "
"instanstatiated hyperparameter in the "
"forbidden clause; you are missing "
"'child'", forb1.is_forbidden, {'parent': 1})
self.assertFalse(forb1.is_forbidden({'parent': 1}, strict=False))
for i in range(0, 5):
self.assertFalse(forb1.is_forbidden({'child': i}))
for i in range(5, 10):
self.assertTrue(forb1.is_forbidden({'child': i}))
# Test forbidden on vector values
hyperparameter_idx = {hp1.name: 0, hp2.name: 1}
forb1.set_vector_idx(hyperparameter_idx)
self.assertFalse(
forb1.is_forbidden_vector([np.NaN, np.NaN], strict=False))
self.assertFalse(forb1.is_forbidden_vector([np.NaN, 0]))
correct_vector_value = hp2._inverse_transform(6)
self.assertTrue(
forb1.is_forbidden_vector([np.NaN, correct_vector_value]))
def test_in_condition(self):
hp1 = CategoricalHyperparameter("parent", [0, 1, 2, 3, 4])
hp2 = UniformIntegerHyperparameter("child", 0, 10)
hp3 = UniformIntegerHyperparameter("child2", 0, 10)
hp4 = CategoricalHyperparameter("grandchild", ["hot", "cold", "warm"])
self.assertRaisesRegex(
ValueError,
"Forbidden clause must be instantiated with a "
"legal hyperparameter value for "
"'parent, Type: Categorical, Choices: {0, 1, 2, 3, 4}, "
"Default: 0', but got '5'",
ForbiddenInClause,
hp1,
[5],
)
forb1 = ForbiddenInClause(hp2, [5, 6, 7, 8, 9])
forb1_ = ForbiddenInClause(hp2, [9, 8, 7, 6, 5])
forb2 = ForbiddenInClause(hp2, [5, 6, 7, 8])
forb3 = ForbiddenInClause(hp3, [5, 6, 7, 8, 9])
forb4 = ForbiddenInClause(hp4, ["hot", "cold"])
forb4_ = ForbiddenInClause(hp4, ["hot", "cold"])
forb5 = ForbiddenInClause(hp1, [3, 4])
forb5_ = ForbiddenInClause(hp1, [3, 4])
self.assertEqual(forb5, forb5_)
self.assertEqual(forb4, forb4_)
# print("\nTest1:")
self.assertEqual(forb1, forb1_)
# print("\nTest2:")
self.assertNotEqual(forb1, forb2)
# print("\nTest3:")
self.assertNotEqual(forb1, forb3)
# print("\nTest4:")
self.assertEqual("Forbidden: child in {5, 6, 7, 8, 9}", str(forb1))
# print("\nTest5:")
self.assertRaisesRegex(
ValueError, "Is_forbidden must be called with the "
"instanstatiated hyperparameter in the "
"forbidden clause; you are missing "
"'child'", forb1.is_forbidden, {'parent': 1}, True)
# print("\nTest6:")
self.assertFalse(forb1.is_forbidden({'parent': 1}, strict=False))
# print("\nTest7:")
for i in range(0, 5):
self.assertFalse(forb1.is_forbidden({'child': i}, True))
# print("\nTest8:")
for i in range(5, 10):
self.assertTrue(forb1.is_forbidden({'child': i}, True))
# Test forbidden on vector values
hyperparameter_idx = {hp1.name: 0, hp2.name: 1}
forb1.set_vector_idx(hyperparameter_idx)
# print("\nTest9:")
self.assertFalse(
forb1.is_forbidden_vector(np.array([np.NaN, np.NaN]),
strict=False))
# print("\nTest10:")
self.assertFalse(
forb1.is_forbidden_vector(np.array([np.NaN, 0]), strict=False))
correct_vector_value = hp2._inverse_transform(6)
# print("\nTest11:")
# print(correct_vector_value, np.array([np.NaN, correct_vector_value]))
self.assertTrue(
forb1.is_forbidden_vector(np.array([np.NaN, correct_vector_value]),
strict=False))
def test_in_condition(self):
hp1 = CategoricalHyperparameter("parent", [0, 1, 2, 3, 4])
hp2 = UniformIntegerHyperparameter("child", 0, 10)
hp3 = UniformIntegerHyperparameter("child2", 0, 10)
hp4 = CategoricalHyperparameter("grandchild", ["hot", "cold", "warm"])
self.assertRaisesRegex(
ValueError,
"Forbidden clause must be instantiated with a "
"legal hyperparameter value for "
"'parent, Type: Categorical, Choices: {0, 1, 2, 3, 4}, "
"Default: 0', but got '5'",
ForbiddenInClause, hp1, [5],
)
forb1 = ForbiddenInClause(hp2, [5, 6, 7, 8, 9])
forb1_ = ForbiddenInClause(hp2, [9, 8, 7, 6, 5])
forb2 = ForbiddenInClause(hp2, [5, 6, 7, 8])
forb3 = ForbiddenInClause(hp3, [5, 6, 7, 8, 9])
forb4 = ForbiddenInClause(hp4, ["hot", "cold"])
forb4_ = ForbiddenInClause(hp4, ["hot", "cold"])
forb5 = ForbiddenInClause(hp1, [3, 4])
forb5_ = ForbiddenInClause(hp1, [3, 4])
self.assertEqual(forb5, forb5_)
self.assertEqual(forb4, forb4_)
# print("\nTest1:")
self.assertEqual(forb1, forb1_)
# print("\nTest2:")
self.assertNotEqual(forb1, forb2)
# print("\nTest3:")
self.assertNotEqual(forb1, forb3)
# print("\nTest4:")
self.assertEqual("Forbidden: child in {5, 6, 7, 8, 9}", str(forb1))
# print("\nTest5:")
self.assertRaisesRegex(ValueError,
"Is_forbidden must be called with the "
"instanstatiated hyperparameter in the "
"forbidden clause; you are missing "
"'child'", forb1.is_forbidden,
{'parent': 1}, True)
# print("\nTest6:")
self.assertFalse(forb1.is_forbidden({'parent': 1}, strict=False))
# print("\nTest7:")
for i in range(0, 5):
self.assertFalse(forb1.is_forbidden({'child': i}, True))
# print("\nTest8:")
for i in range(5, 10):
self.assertTrue(forb1.is_forbidden({'child': i}, True))
# Test forbidden on vector values
hyperparameter_idx = {
hp1.name: 0,
hp2.name: 1
}
forb1.set_vector_idx(hyperparameter_idx)
# print("\nTest9:")
self.assertFalse(forb1.is_forbidden_vector(np.array([np.NaN, np.NaN]), strict=False))
# print("\nTest10:")
self.assertFalse(forb1.is_forbidden_vector(np.array([np.NaN, 0]), strict=False))
correct_vector_value = hp2._inverse_transform(6)
# print("\nTest11:")
# print(correct_vector_value, np.array([np.NaN, correct_vector_value]))
self.assertTrue(forb1.is_forbidden_vector(np.array([np.NaN, correct_vector_value]), strict=False))