How to use test_unequal_len method in autotest

Best Python code snippet using autotest_python

test_scoring.py

Source:test_scoring.py

...19    def test_mixed(self):20        a = np.array([1, 'a', 0, 1])21        b = np.array([1, 'b', 1, 1])22        self.assertEqual(accuracy_1d(a, b), 0.5)23    def test_unequal_len(self):24        a = np.array([1, 1, 0])25        b = np.array([1, 1, 1, 1])26        with self.assertRaises(ValueError) as context:27            accuracy_1d(a, b)28        msg = context.exception29        self.assertEqual(str(msg), "Input arrays must have same number"30                                   " of elements\n"31                                   "Got predictions.shape:"32                                   " (3,) and targets.shape: (4,)")33    def test_2d(self):34        a = np.array([[1, 1, 0, 0]])35        b = np.array([[1, 1, 1, 1]])36        with self.assertRaises(ValueError) as context:37            accuracy_1d(a, b)38        msg = context.exception39        self.assertEqual(str(msg), "Input arrays must have 1 dimension\n"40                                   "Got predictions.ndim: 2"41                                   " and targets.ndim: 2")42class TestAccuracy2D(unittest.TestCase):43    def test_binary(self):44        a = np.array([[1., 0., 0., 0.],45                      [0., 1., 0., 0.],46                      [0., 0., 0., 1.],47                      [0., 0., 0., 1.]])48        b = np.array([[0., 0., 0., 1.],49                      [0., 1., 0., 0.],50                      [0., 0., 0., 1.],51                      [0., 0., 0., 1.]])52        self.assertEqual(accuracy_2d(a, a), 1.0)53        self.assertEqual(accuracy_2d(a, b), 0.75)54    def test_unequal_len(self):55        a = np.array([[1., 0., 0., 0.],56                      [0., 1., 0., 0.],57                      [0., 0., 0., 1.]])58        b = np.array([[0., 0., 0., 1.],59                      [0., 1., 0., 0.],60                      [0., 0., 0., 1.],61                      [0., 0., 0., 1.]])62        with self.assertRaises(ValueError) as context:63            accuracy_2d(a, b)64        msg = context.exception65        self.assertEqual(str(msg), "Input arrays must have same number"66                                   " of elements\n"67                                   "Got predictions.shape:"68                                   " (3, 4) and targets.shape: (4, 4)")...

zip_test.py

Source:zip_test.py

...21    l = list(zipped)22    assert l[0] == (1,)23    assert l[1] == (2,)24    assert l[2] == (3,)25def test_unequal_len():26    l = list(zip(range(3), range(100)))27    assert len(l) == 328    assert l[0] == (0, 0)29    assert l[1] == (1, 1)30    assert l[2] == (2, 2)31def test_unzip():32    pairs = [(1, 'a'), (2, 'b'), (3, 'c'), (4, 'd')]33    numbers, letters = zip(*pairs)34    assert numbers == (1, 2, 3, 4)...

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