def test_label_validation(self):
ob = object()
bad_ob = object()
feature_type = Label(['a', 'b', 0, ob])
for a in ('a', 'b', 0, ob):
with self.subTest(a=a):
self.assertEqual(feature_type.validate(a), a)
for a in ('c', 1, bad_ob):
with self.subTest(a=a), \
self.assertRaises(TypeError):
feature_type.validate(a)
def test_vector_validation(self):
feature_type = Vector([Number(), Label(['a', 'b'])])
for a in ((1, 'a'), (3, 'b'), (17, 'a')):
with self.subTest(a=a):
self.assertEqual(feature_type.validate(a), a)
for a in ((1, ), (1, 'a', 2), ('a', 1), (1, 1)):
with self.subTest(a=a), \
self.assertRaises((TypeError, ValueError)):
feature_type.validate(a)
class Output:
b = Vector([
Number(),
Vector([Number(), Label(['a', 'b'])]),
Number()
])
class Output:
iris_class = Label(
['Iris-setosa', 'Iris-versicolor', 'Iris-virginica'])
class Input:
label = Label(labels)
class Output:
c = Number()
d = Number()
e = Label(['a', 'b'])
f = Complex()
g = Number()
class Output:
b = Label(['a', 'b'])
class Input:
number = Number()
label = Label(['a', 'b', 'c'])