def test_score(self, net):
        w = 0.5 * np.ones(u.CLASSES.shape, 'f')
        assert 0 <= net.score(u.CNN.INPUTS, u.CLASSES, w) <= 1
dataset/ETHPy150Open lmjohns3/theanets/test/convolution_test.py/TestClassifier.test_score/original